Released this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\\n\\n
We wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
IntechOpen is proud to announce that 191 of our authors have made the Clarivate™ Highly Cited Researchers List for 2020, ranking them among the top 1% most-cited.
\n\n
Throughout the years, the list has named a total of 261 IntechOpen authors as Highly Cited. Of those researchers, 69 have been featured on the list multiple times.
\n\n\n\n
Released this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\n\n
We wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
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In 2010, she defended her doctoral thesis, and in 2019 she obtained habilitation and she was granted a Marie Sklodowska-Curie Actions (MSCA) to participate in the Postgraduate School of Industrial Ecology (PSIE) - IndEcol at the Norwegian University of Science and Technology in Trondheim. She has published over 77 papers, including 69 papers in world-known peer-reviewed scientific journals from the JCR list. Her works have been cited more than 300 times and she has an h-index: 15. She is the author of 5 patents. She cooperates with many universities in the field of multidisciplinary projects. 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\n
1. Introduction
\n
Olive trees are widespread in the Mediterranean countries, where the climate is in line with the pattern and physiology of the growth of these trees. There is almost no Mediterranean country without thousands of hectares of olive trees, where the majority of people thrive on their products, fruits, and oil [1, 2]. Olive is one of the most important horticultural crops, both for direct consumption of fruit and for oil extraction which has nutritional value and a high historical reputation. The scientific name of the olive plant is Olea europaea L. and follows the family of Oleaceae. Olive trees grow wild in many parts of the world, especially in southern France, Syria, Palestine, Jordan, Morocco, Algeria, and India and also grow wildly in the southwest of Saudi Arabia. Olive trees are durable and can live for centuries. They are strong, energetic, and resistant to various conditions, including water shortage. The tallest tree reaches 15 m and the average height is 5–8 m. Leaves are spear shape, covered with a thick cutin and some disc hairs. Trees bear two types of flowers: bisexual and male flowers, according to the variety. Pollination is done by wind, and the fruit is drupe, rounded, or oval, depending on the variety and turns to black color when matured. Olive trees are subtropical. During winter, most varieties need low temperatures until flowering buds are formed. Trees thrive in the spring. If temperatures are high in winter, flowering is greatly reduced. Olive trees can withstand summer temperatures up to 48°C. Small olive trees need to be irrigated on a regular basis during the first 3 years of planting. After that, they can tolerate very little irrigation. Olive trees are cultivated in many areas in Spain, Tunisia, and Libya, relying on rain only without the need for artificial irrigation when rainfall is up to 300 mm per year. Small olive trees also need little fertilization but respond to good fertilization later, where it is necessary to add organic and chemical fertilizers, especially nitrogen, potash, and phosphates (www.fao.org).
\n
Most of the world’s olive production is concentrated in Mediterranean countries, as well as some countries outside the Mediterranean basin such as Peru, Australia, Chile, Iran, Albania, Argentina, USA, and Saudi Arabia (Figure 1). Since 2010, there have been significant variations in production from year to year until 2018 (www.fao.org). This may be due to:
Development of new varieties characterized by their high production;
Unusual temperature change
Recent climate changes on earth
Political problems and wars in some countries
\n
Figure 1.
Mediterranean countries distributed in Africa, Asia, and Europe.
\n
It should also be noted that the level of global consumption of olive products, especially olive oil, has increased steadily in parallel with increasing awareness of the strong role of olive products in human health as well as increasing world population. For this reason, global demand for olive products in general and olive oil in particular has increased. All modern methods have been used to increase production and increase the efficiency of olive squeeze operations (Figure 2).
Latest production in the eight leading olive oil producers that make up to 90% of the world’s olive oil production (www.fao.org).
Affected by war.
Production (1.000 tm).
\n
Figure 2.
World olive oil production and consumption, 2016/2017, in years (www.fao.org).
\n
Ranking of countries in terms of olive production, as shown in Table 1:
\n
\n
\n
2. A research on the presence conversion of the solid waste of pressing olives to soil fertilizers using some useful fungi [part of this work has been reported elsewhere]:
\n
It is important to outline the stages of oil production from olive. Olive fruits must be purified from all impurities, either by manual method or by special sieves, and then washed with hot water to eliminate the effect of some substances on taste and quality of olive oil [1, 2]. Processing olive fruits for the mechanical stages in the production line are as follows:
After washing the fruits well, they are ground by different crushing processes. This is the first process designed to compress the fruits and separate largest amount of liquids in them.
This process is carried out accurately and at suitable temperatures, until the oil is assembled together to facilitate separation from other components, especially water, where the temperature directed plays an important role in affecting the viscosity of the oil. Temperature is about 30°C. The aim is not to affect the viscosity of the water but to prevent the mixing of water with oil and influence its density, as well as to protect the oil material from being affected by temperature change of its physical properties such as changing its color to red, or its acidity.
Separation of the components:
The previous phase contributes to some degree in the separation of oil molecules from milled materials, but they are without the end filter work because some oil particles are stuck in the mixture. They need a more precise separation process such as process of separation of liquids from solids, separation of oil from liquid materials, and the process of refining it more than once depending on the value of its standard density. This process is affected by a number of factors:
Density: It plays an important role in separating oil from other liquids. This depends on the speed at which the material is removed due to the force, resulting from the rotational movement of the center of motion.
Size: The small size of the oil molecules increases the difficulty of collecting and removing them from the mix.
Viscosity: Differences in the degree of viscosity between components of the mixture contribute to the speed and ease of separating oil from rest of the materials, as well as temperature that was previously mentioned.
After the oil is separated by centrifugation, solid and liquid residues are discarded, and the oil is finally obtained.
\n
What concerns us here is the solid remains that are the residues of grinding seeds and cellulosic cell walls and organelles of olive fruit cells, as well. This mixture is called olive press cake (OPC) (Figure 3).
\n
Figure 3.
A, B: a large pile of solid olive residues (olive press cake, OPC) from olive presses in Sakaka, Jouf, Saudi Arabia. C: amount of OPC in a pail in preparation for some laboratory experiments.
\n
The huge quantities of waste produced from olive mills have the following properties:
These residues contain cellulose, protein, carbohydrate, and oil, and they represent a good medium for use as soil fertilizers.
High content of phenols may cause inhibitors of plant seed germination.
High content of nutrients in these residues may be an appropriate environment for hordes of insects, spiders, bacteria, and fungi, and some of them may be harmful.
\n
Therefore, we have conducted studies on the abovementioned topics, focusing on the use of these residues as organic fertilizers that can be used to improve mechanical, natural, chemical, and biological soil properties.
\n
The importance of organic agriculture in many areas is of interest to farmers, consumers, society, and the environment. Farmers benefit from the adoption of organic means to increase the production and quality of their crops, due to improved soil fertility and productivity over a long term. Organic agriculture also prohibits the use of insecticides, fungicides, herbicides, nematocides, and other chemicals, reducing dependence on off-farm inputs, thereby reducing production costs and improving health and vitality of animals and plants, while preserving biological and environmental diversity. For the consumer, it increases their confidence in high-quality organic agricultural products, ensuring that they are free of pesticide residues, chemical fertilizers, and genetically modified organisms. All this makes the community healthy, reduces the risk of soil and water contamination with chemical residues, and promotes the sustainability of natural resources and the ecosystem. For soil fertility, there is no accepted concept that includes or is known specifically and clearly. Some soil scientists have pointed out that soil fertility means “the state of nutrients in the soil, in terms of quantity, availability, equilibrium, and other nutrients.” According to this definition, it has a well-balanced source of nutrients in a soft form to meet its needs during various stages of its growth. Soil may contain necessary essential nutrients in a readily available form. However, their production capacity is low, or unproductive, due to the negative impact of physical, chemical, and biological soil properties. In other words, soil fertility, whether physical or chemical, refers to “the ability of the soil to supply the plant with nutrients.” In these two ideas, soil fertility is only an estimate, since the biological effects and their relation to certain aquatic or hydrothermal factors are not considered important, making this interpretation non-exhaustive, although it is used by most soil fertility researchers. Soil fertility is also indicated by its ability to meet the needs of the entire crop of nutrients and water. Soil fertility is sometimes defined as an expression of the state of the nutrient soil, that is, the amount of nutrients it contains in a prepared, adequate, and balanced form for optimal production of a particular crop. In general, soil fertility is a cumulative estimate that can deteriorate as a result of continuous agricultural exploitation and can be developed, maintained, and sustained through good fertilization programs and appropriate soil management.
\n
\n
2.1. Biofertilizers
\n
Modern scientific progress has allowed many processes to take place in nature, prompting scientists to develop new technologies and introduce them into agriculture to protect the environment and increase crop productivity. Using of microorganisms in agriculture was proven to take advantage in processing nutrients needed by the plant in its growth and productivity, and in increasing its biological ability to control pathogens. Biofertilizers can be used to improve soil properties when applying organic farming systems as a natural catalyst for plant growth and productivity. Many studies have shown that some added microorganisms produce antibiotics to protect themselves, killing many pathogenic fungi. At the same time, these microorganisms secrete stimulant-like substances such as auxins to increase seed germination rate as well as increasing root and vegetative growth of the plant. In addition, these stimulants increase the surface area of the root hairs, which contributes to increase the ability of the plant to absorb water, salts, and nutrients. For the previous mentioned reasons, these microorganisms contribute to improving physical and chemical properties of agricultural soils and thus their fertility and productivity. Therefore, some countries have been interested in settling organic agriculture in many parts of the country. This is done by converting organic waste and agricultural products to organic fertilizers, especially in countries characterized by drought due to lack of rainfall, scarcity of vegetation, and high temperatures. In desert countries, lack of intensive cultivation methods resulted in a decrease in biofertilizers and low organic matter, resulting in reduced soil fertility, http://www.fao.org/organicag/oa-faq/oa-faq1/ar.
\n
From this point of view, one of the main objectives of this study is the use of olive press cake (OPC) from many olive mills spread in Jouf region in the northern part of Saudi Arabia, as biofertilizers in organic agriculture. The number of fruitful olive trees in such area was estimated to be more than 15,000,000 trees, produced more than 12,000,000 l of olive oil.
\n
The agricultural land of the city of Sakaka and its suburbs, belonging to the Jouf region, of the northern part of Saudi Arabia is characterized by the lack of suitable physical, chemical, and biological properties. Therefore, we have considered using enormous amount of residual OPC in raising efficiency of agricultural soil through a number of successive researches in this field.
\n
As a result of the huge quantities of the remnants of the process of refining olives, large quantities of waste are formed with other pollutants from the wastewater of these processes [2, 3]. These pollutants are of big environmental problem because of their high organic load [4]. The addition of OPC to agricultural soil increases organic matter and inorganic elements essential for plant growth [5]. By contrast, the application of OPC to the soil causes phytotoxic properties due to the high content of phenolic compounds [4, 6, 7]. Generally, the mushroom fungus (Pleurotus) can grow well on organic residues containing lignin and lignocellulose, since these fungi are able to analyze these substances and produce simpler, more nutritious residues, and more benefits to plants. Previous studies indicate that the first stage of mycelial growth of the mushroom and some terrestrial fungi is to be biomass, followed by a decrease in the concentration of harmful phenolics, which turns waste into organic residues enriched and useful for agricultural soil [8, 9].
\n
Analysis of components of OPC is found to contain ash, lipids, minerals, polyphenols, polysaccharides, proteins, sugars, and tannins [10]. The concentration of phenolic compounds reaches up to 10 g/L [11], which causes high plant toxicity and antibacterial properties.
\n
We have benefited from these data that we designed researches based on the use of certain fungi in the withdrawal of high phenols of OPC and then converted it into organic fertilizers added to agricultural soil. Useful fungus of Gliocladium roseum, Pythium oligandrum and Trichoderma harzianum, and the mushroom of Pleurotus ostreatus were used in this respect. It is well known and noted through many previous studies that G. roseum, P. oligandrum, and T. harzianum have a long history of biological control of many fungal plant diseases [10]. The mushroom of P. ostreatus mushroom is also known for its high nutritional value and a good source of protein for many people. Therefore, the use of G. roseum, P. oligandrum, and T. harzianum has more than one benefit. The first is the withdrawal of the high concentration of phenolic materials from OPC to be suitable for agriculture. The second that these fungi are important in the biological control constitutes a wonderful medium to exist within these organic fertilizers. It is worth mentioning that G. roseum, P. oligandrum, and T. harzianum have the ability to secrete substances similar to plant hormones (auxins) that cause increased vegetative growth and productivity of plant crops [12].
\n
The overall aim of this study was to use P. ostreatus mushrooms as well as G. roseum, P. oligandrum, and T. harzianum to grow on OPC to benefit from the productivity of mushrooms and make it suitable as a biofertilizer.
\n
\n
\n
2.2. Materials and methods
\n
G. roseum (JU 121, Jouf University, Saudi Arabia), P. oligandrum (JU 221, Jouf University, Saudi Arabia), and T. Harzianum (JU 321, Jouf University, Saudi Arabia) were isolated from 25 agriculture fields distributed in Khoaa village, Sakaka (29° 48′ 6’ N, 40° 26′ 27″), Jouf Governorate, located in the northern part of Saudi Arabia [1]. P. ostreatus (MUAGRI 1102, Egypt) fungus was kindly obtained from the Ministry of Agriculture, Egypt, as a ready spawn grown on grains of sorghum; afterward the spawn prepared by subculturing the fungus on the medium of Malt Extract Agar) was used (Figure 4).
\n
Figure 4.
Spawn of mushroom of P. ostreatus grown on grains of sorghum.
\n
OPC was obtained from an olive mill located in Sakaka city, Jouf, Saudi Arabia, and used spontaneously after sterilization by autoclaving.
\n
\n
\n
2.3. Mushroom (P. ostreatus) cultivation
\n
Experiments were performed in a glass house, and two treatments were used (control + five replicates). Subsequently, results were statistically arranged and all treatments were compared using Duncan Multiple Range test. Ninety-five percent vermiculite and five percent gypsum were the only components of the control. Treatments were prepared as 95% olive press cake and 5% gypsum (dry weight).
\n
\n
\n
2.4. Substrate medium sterilization for cultivation of P. ostreatus
\n
Gypsum was added to each treatment and mixed thoroughly and then placed in a cloth bag. Autoclaving was done for two successive days at 121°C for 1 h and left 3 days before use. The glasshouse was disinfected using sodium hypochlorite. The medium was re-placed in big plastic bags in order to allow the manipulation of mixing the spawn with the substrate by thoroughly shaking. Subsequently, medium was inoculated with 5% (dry weight) spawn of P. ostreatus. The bags were sealed tightly with a strong thread and punctured with a sterile metal screwdriver.
\n
\n
\n
2.5. Adjustment of culture circumstances
\n
Substrates were incubated at 20–25°C, under 80–95% (R.H.) humidity in the dark during starting days until the emergence of white mycelial growth. The colonized substrates were subjected to a cold shock at 5°C for 48 h to stimulate the emergence of first flush. It is worth mentioning that ventilation was very important during the fruiting period; therefore, the upper side of the bags was opened. Precautions must be taken for the temperature to be around 25°C and the relative humidity was between 80 and 90% by watering the bags twice daily and placing vast water containers on the floor.
\n
\n
\n
2.6. Harvesting mushroom crop
\n
Basidiocarps (fruiting bodies) of P. ostreatus had been collected when pilei were matured and just before started to curl up. Residues attached on stipes of mushrooms were gently disposed of by wiping them with a tissue paper before weighing. After harvesting mushroom, the average weight of singular basidiomata calculated as the quotient of the total weight of fresh bodies collected by their total number, the average production for each parameter and diameter of the pilei, and the average diameter were measured.
\n
\n
\n
2.7. Culturing G. roseum, P. oligandrum, and T. harzianum on OPC
\n
Olive press cake (OPC) was collected from an olive mill (Aljouba, Sakaka city, Jouf, Saudi Arabia). Fungi were developed and preserved in potato dextrose agar (PDA) (part of this work has been reported elsewhere [1]). Potato dextrose agar discs containing fungal growth were used for OPC inoculation and subculturing, as well. Incubation procedure was performed in 1-L Erlenmeyer flasks, each containing 200 g of OPC and 150 ml distilled water at 28°C for a time course of 1–4 weeks (Figure 5).
\n
Figure 5.
A. OPC and water in flasks after sterilization in the autoclave. B. Flasks during inoculation by fungi. C. Flasks after inoculation. D. Fungal growth after incubation for 2 weeks at 28°C in the dark.
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\n
\n
2.8. Effect of growth of G. roseum, P. oligandrum, T. harzianum, and P. ostreatus on the amount of phenols in OPC
\n
The total phenolic contents of OPC were estimated according to the method of [13], via tannic acid as a standard, and expressed as grams per kilogram of OPC. Analyses were done for each treatment before and after growth of tested four fungi within 1–4 weeks.
\n
\n
\n
2.9. Testing the ability of Eruca sativa seeds to grow in the waste before and after the growth of fungi
\n
The OPC before and after culturing with each of the tested four fungi was analyzed for their appropriateness for growing seeds of E. sativa. Quantities of every 100 g of OPC were added to plastic pots. Fifty E. sativa seeds were distributed on the surface of each pot containing tested OPC. Pots were incubated in an illuminated growth cabinet at 25°C with 12 h photoperiod (91 μmol m−2 s−1). Emergence seedlings were counted in the course of 5–20 days.
\n
\n
\n
2.10. Statistical analysis
\n
Data were analyzed using one-way analysis of variance (ANOVA) through Minitab statistical software (version 12) unless elsewhere mentioned.
\n
\n
\n
\n
3. Results
\n
\n
3.1. The effect of different amounts of OPC on growth parameters (incubation period, yield, average weight, and average diameter of pilei) of P. ostreatus
\n
Table 2 shows that that period required for incubation of OPC substrate was around 13 days compared with the control treatment which needed 5 extra days. Highest mushroom production was recorded in control, but in OPC it showed significant differences between them and the yield fell by almost half. In control, the average weight was 25.26 (g/cap), whereas it decreased to 17.99 (g/cap) in OPC. There were no significant differences between control treatment and OPC in their average diameter of fungal pileus.
Effect of adding olive press cake on incubation period, yield, average weight, and average diameter of P. ostreatus.
Means within each column followed by the same letter were not significantly different according to Duncan’s Multiple range test (P = 0.05).
\n
\n
\n
3.2. Culturing G. roseum, P. oligandrum, T. harzianum, and P. ostreatus on OPC
\n
G. roseum, P. oligandrum, T. harzianum, and P. ostreatus showed excellent growth on OPC, which began from the first week of cultivation and more intense growth between the second and the third week of the incubation period (Figure 5).
\n
\n
\n
3.3. Total phenols of OPC before and after the growth of G. roseum, P. oligandrum, T. harzianum, and P. ostreatus
\n
Total phenols significantly decreased when G. roseum, P. oligandrum, and P. ostreatus grew on OPC from the first week up to the fourth week of growth. On the other hand, T. harzianum did not show any significant decrease in phenol content of OPC before and after growth on OPC (Figure 6).
\n
Figure 6.
Phenol content (g/kg OPC) of OPC treated with each of G. roseum, P. oligandrum, T. harzianum, and P. ostreatus during different treatment times (1–4 weeks). Data are averages (±S.E.) of five replicates and significant values against control represent **highly significant at p < 0.01, ***very significant at p < 0.001.
\n
\n
\n
3.4. Germination of E. sativa seeds on OPC previously cultured with G. roseum, P. oligandrum, T. harzianum, and P. ostreatus
\n
OPC previously cultured with each of G. roseum, P. oligandrum, T. harzianum, and P. ostreatus during 1–4 weeks increased the emergency of E. sativa seedling, whereas seeds never germinated in crude OPC (Table 3, Figures 7 and 8).
OPC previously incubated with G. roseum for 1 week
\n
29c
\n
33c
\n
33c
\n
33c
\n
\n
\n
OPC previously incubated with G. roseum for 2 week
\n
38c
\n
41c
\n
41c
\n
41c
\n
\n
\n
OPC previously incubated with G. roseum for 3 week
\n
37c
\n
40c
\n
40c
\n
40c
\n
\n
\n
OPC previously incubated with G. roseum for 4 week
\n
39c
\n
41c
\n
41c
\n
41c
\n
\n
\n
OPC previously incubated with P. ostreatus for 1 week
\n
22c
\n
28c
\n
30c
\n
31c
\n
\n
\n
OPC previously incubated with P. ostreatus for 2 week
\n
32c
\n
38c
\n
40c
\n
41c
\n
\n
\n
OPC previously incubated with P. ostreatus for 3 week
\n
35c
\n
38c
\n
39c
\n
40c
\n
\n
\n
OPC previously incubated with P. ostreatus for 4 week
\n
35c
\n
43c
\n
40c
\n
42c
\n
\n
\n
OPC previously incubated with T. harzianum for 1 week
\n
0
\n
0
\n
0
\n
0
\n
\n
\n
OPC previously incubated with T. harzianum for 2 week
\n
0
\n
0
\n
0
\n
0
\n
\n
\n
OPC previously incubated with T. harzianum for 3 week
\n
0
\n
0
\n
0
\n
0
\n
\n
\n
OPC previously incubated with T. harzianum for 4 week
\n
0
\n
0
\n
0
\n
0
\n
\n
\n
OPC previously incubated with P. oligandrum for 1 week
\n
33c
\n
33c
\n
31c
\n
31c
\n
\n
\n
OPC previously incubated with P. oligandrum for 2 week
\n
35c
\n
40c
\n
42c
\n
42c
\n
\n
\n
OPC previously incubated with P. oligandrum for 3 week
\n
43c
\n
45c
\n
45c
\n
45c
\n
\n
\n
OPC previously incubated with P. oligandrum for 4 week
\n
45c
\n
46c
\n
46c
\n
46c
\n
\n\n
Table 3.
Emergency of 50 Eruca sativa seeds inoculated or not with G. roseum, P. oligandrum, T. harzianum, and P. ostreatus in the presence or absence of olive press cake (OPC) incubated within 20 days.
Number of emerged Eruca sativa seeds out of 50.
Means within each column followed by the same letter were not significantly different (compared with the control in OPC) according to Duncan’s Multiple range test (P = 0.05).
\n
Figure 7.
(A–E) Germination of Eruca sativa seeds on OPC after 2 weeks culturing with G. roseum (B), T. harzianum (C), T. harzianum (D), P. oligandrum (E), P. ostreatus, and control (A) whereas seeds were seeded on crude OPC after 7 days at 25°C under 12 h photoperiod (91 μmol m−2 s−1).
\n
Figure 8.
(A–E) Germination of Eruca sativa seeds on OPC after 30 and 40 days culturing with P. oligandrum. Control represents seeds on crude OPC after 7 days at 25°C under 12 h photoperiod (91 μmol m−2 s−1).
\n
Ability of Eruca sativa seeds to grow on OPC before and after the growth of P. oligandrum after 30 and 40 days
\n
\n
\n
\n
4. Discussion
\n
Experimental data show that the phytotoxic properties of OPC were responsible for inhibiting the growth of plant seeds used in this study. The olive press cake used in our study inhibited E. sativa seed germination. Many high concentrations of phenolic compounds were considered one of the main reasons of the toxicant effect of OPC on plant seed germination and subsequent growth [14]. For this reason, a high phenolic content of OPC could be responsible for phytotoxicity. Most of phenolic acids began to exhibit their phytotoxicity at high concentrations [15]. In this research, OPC were 40 g kg−1 of total phenolic compounds. The application of OPC to agricultural soil causes the inhibition of plant seeds and retards the growth of many growing plants.
\n
It is worth mentioning that many fungi can grow and flourish in food environments containing high concentrations of phenols. From the previous point, this phenomenon can be used to withdraw or even reduce the high percentage of phenols in any medium [16].
\n
From the study, many Aspergillus spp. are capable of decomposing phenolics in OPC. Subsequently, many isolates of A. niger were observed to flourish and produce dense growth on OPC [17]. One of the methods used by some fungi to remove the toxic effect of high concentrations of phenols had been attributed to their capacity to metabolize phenols [14]. Earlier results showed that Coriolopsis rigida decreases phenolics of OPC [4]. In addition, the same fungus increased the dry weight of tomato fruits [18].
\n
Results of this study showed that some of the tested fungi, which were G. roseum, P. oligandrum, and P. ostreatus, had the ability to grow on OPC and withdraw a large amount of phenols up to 75% of the main concentration. By contrast, T. harzianum was able to grow on OPC while it could not affect the level of phenols and therefore remained the amount of phenols as they were throughout the incubation period. This may be explained by the ability of G. roseum, P. oligandrum, and P. ostreatus to metabolize the phenols while T. harzianum cannot. It is therefore very important to test the ability of fungi (even in the level of isolates) for analyzing phenols after testing their ability to grow on OPC to be used in the clearance OPC from the high concentration of phenols.
\n
Fortunately, a high level of nutrients in OPC strengthened and helped to grow tested fungi intensively without any dietary additives. Therefore, we have used environmentally friendly fungi and have benefits in the biological control and production of plant-like auxins for plant growth in addition to its ability to reduce the high concentration of phenols. So we hit two birds with one stone, which is that we have made OPC suitable to add to the agricultural soil to improve their properties and at the same time add fungi that resist plant diseases and increase the vegetative growth and productivity of plants.
\n
Another useful dimension is the extent to which OPCs are used as a medium for growth of an edible species of mushrooms (P. ostreatus). After mushroom cultivation course, OPC can then be used as high-value organic fertilizers. Mushrooms were recently used for decreasing phenolics in OPC. Other basidiomycota belonging to white rots were proved to be efficient metabolizers of phenolics in OPC [19]. Pleurotus was able to grow on OPC and reduced total phenols. It has been evidenced that the development of normal basidiomata on OPC cultured with P. ostreatus and P. eryngii [20]. They further postulated that the residual toxicity of OPC was significantly reduced. Our experiments showed that by growing P. ostreatus on OPC, the percentage of phenols decreased by about 40% of the ratio in the raw OPC after 4 weeks of mushroom cultivation.
\n
It is worth mentioning that each of G. roseum, P. oligandrum, and P. ostreatus, which gave positive results toward the reduction of high phenols and make the residues suitable for seed germination and then used in organic agriculture as fertilizer for agricultural soil, was used separately from each other.
\n
It is therefore very appropriate to test the integration of G. roseum and P. oligandrum in their work as depressants of the high concentration of phenols and their ability as biological controls. There have been no experiments on this integration in this study here, and therefore we recommend further studies in this regard.
\n
This study is a nucleus of similar studies using other useful fungi that have antifungal properties and can eliminate the OPC of the high concentrations of phenols.
\n
\n
\n
5. Conclusion
\n
It is known that there are many sources of organic fertilizers that man has dealt with throughout the ages. The basic contents of organic fertilizers contain plant and animal residues moistened and left for a certain period of time until microbial degradation occurs and eventually produce organic fertilizers containing organic sources in a simple form that the plant can benefit from. What is new here is that we used OPC as a vital source of organic fertilizer. Olive press cake contains cellulose, protein, carbohydrate, oil, and phenol. This shows the good content of the necessary compounds to ensure seed germination, plant growth, and prosperity. The problem is the high content of phenols that have hindered the germination of plant seeds in some crop plants. In this context, research studies have been conducted to benefit from the high nutritional content of OPC and to withdraw the high concentration of phenols in order to prepare these wastes as a good source of organic fertilizers .It has been found that using some of the saprophytic fungi can reduce the level of phenols in OPC. The idea was to use saprophytic fungi with the ability to control some plant diseases, in addition to their ability to increase plant growth by producing plant-like hormones (auxins) that are responsible for increasing vegetative growth and fruit production. Therefore, we have used G. roseum, P. oligandrum, T. harzianum, and P. ostreatus known to have the ability to control fungal plant diseases and produce plant-like hormones. Our studies have shown that G. roseum, P. oligandrum, and P. ostreatus can play a positive role in reducing the rate of phenols and the foundation of OPC to be a good source of organic fertilizers.
\n
Steps of preparing OPC to be a suitable medium for organic fertilizers can be illustrated in the following infographic illustration:\n\n
\n
\n
\n\n',keywords:"biofertilizer, Eruca sativa, Gliocladium roseum, Pythium oligandrum, Trichoderma harzianum and Pleurotus ostreatus, northwestern region of Saudi Arabia, olive press cake",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/62186.pdf",chapterXML:"https://mts.intechopen.com/source/xml/62186.xml",downloadPdfUrl:"/chapter/pdf-download/62186",previewPdfUrl:"/chapter/pdf-preview/62186",totalDownloads:1096,totalViews:198,totalCrossrefCites:0,totalDimensionsCites:0,totalAltmetricsMentions:0,impactScore:0,impactScorePercentile:40,impactScoreQuartile:2,hasAltmetrics:0,dateSubmitted:"January 27th 2018",dateReviewed:"May 9th 2018",datePrePublished:"November 5th 2018",datePublished:"November 28th 2018",dateFinished:"June 19th 2018",readingETA:"0",abstract:"Organic fertilizer is the core of organic farming, which represents the most important way to provide crops and agricultural products that are safe and free of any chemical components and pesticides. From this point of view, the purpose of this study is to provide a source of organic fertilizers which was formerly an environmental problem. The northwestern region of Saudi Arabia is flourishing with olive production, leaving huge amounts of residues called olive press cake (OPC). These wastes are a major environmental pollution despite their good content of carbohydrates, protein, oil and cellulose alongside phenols and lignin. We tested the cultivation of Gliocladium roseum, Pythium oligandrum and Trichoderma harzianum and the mushroom Pleurotus ostreatus on OPC in order to reduce the high percentage of phenols that impede the germination of some plant seeds. Gliocladium roseum, Pythium oligandrum and Pleurotus ostreatus were able to reduce the percentage of phenols to more than 40% and thus support germination of seeds of Eruca sativa. This study gave than one benefit: firstly, reducing phenols that impede the germination of seeds. Secondly, Gliocladium roseum and Pythium oligandrum work against some plant diseases and also produce plant-like hormones that increase growth of plants.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/62186",risUrl:"/chapter/ris/62186",book:{id:"7216",slug:"soil-productivity-enhancement"},signatures:"Hani Mohamed Awad Abdelzaher, Haifa Abdulaziz S. Alhaithloul\nand Shaima Mohamed Nabil Moustafa",authors:[{id:"238130",title:"Dr.",name:"Shaima",middleName:"Mohamed Nabil",surname:"Moustafa",fullName:"Shaima Moustafa",slug:"shaima-moustafa",email:"shymaa.nabil@ju.edu.sa",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:{name:"Al Jouf University",institutionURL:null,country:{name:"Saudi Arabia"}}},{id:"242818",title:"Prof.",name:"Hani",middleName:"Mohamed Awad",surname:"Abdelzaher",fullName:"Hani Abdelzaher",slug:"hani-abdelzaher",email:"abdelzaher1963@yahoo.com",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/242818/images/6912_n.jpg",institution:{name:"Al Jouf University",institutionURL:null,country:{name:"Saudi Arabia"}}},{id:"245646",title:"Dr.",name:"Haifa",middleName:null,surname:"Alhaithloul",fullName:"Haifa Alhaithloul",slug:"haifa-alhaithloul",email:"haifasakit@ju.edu.sa",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. A research on the presence conversion of the solid waste of pressing olives to soil fertilizers using some useful fungi [part of this work has been reported elsewhere]:",level:"1"},{id:"sec_2_2",title:"2.1. Biofertilizers",level:"2"},{id:"sec_3_2",title:"2.2. Materials and methods",level:"2"},{id:"sec_4_2",title:"2.3. Mushroom (P. ostreatus) cultivation",level:"2"},{id:"sec_5_2",title:"2.4. Substrate medium sterilization for cultivation of P. ostreatus",level:"2"},{id:"sec_6_2",title:"2.5. Adjustment of culture circumstances",level:"2"},{id:"sec_7_2",title:"2.6. Harvesting mushroom crop",level:"2"},{id:"sec_8_2",title:"2.7. Culturing G. roseum, P. oligandrum, and T. harzianum on OPC",level:"2"},{id:"sec_9_2",title:"2.8. Effect of growth of G. roseum, P. oligandrum, T. harzianum, and P. ostreatus on the amount of phenols in OPC",level:"2"},{id:"sec_10_2",title:"2.9. Testing the ability of Eruca sativa seeds to grow in the waste before and after the growth of fungi",level:"2"},{id:"sec_11_2",title:"2.10. Statistical analysis",level:"2"},{id:"sec_13",title:"3. Results",level:"1"},{id:"sec_13_2",title:"3.1. The effect of different amounts of OPC on growth parameters (incubation period, yield, average weight, and average diameter of pilei) of P. ostreatus",level:"2"},{id:"sec_14_2",title:"3.2. Culturing G. roseum, P. oligandrum, T. harzianum, and P. ostreatus on OPC",level:"2"},{id:"sec_15_2",title:"3.3. Total phenols of OPC before and after the growth of G. roseum, P. oligandrum, T. harzianum, and P. ostreatus",level:"2"},{id:"sec_16_2",title:"3.4. Germination of E. sativa seeds on OPC previously cultured with G. roseum, P. oligandrum, T. harzianum, and P. ostreatus",level:"2"},{id:"sec_18",title:"4. Discussion",level:"1"},{id:"sec_19",title:"5. Conclusion",level:"1"}],chapterReferences:[{id:"B1",body:'Abdelzaher HMA, Albahrawi AZ, Moustafa SMN. Isolation of some biocontrol fungi from Saudi soil and their beneficial role as bio-fertilizers. Journal of Pure and Applied Microbiology. 2015;9:541-549\n'},{id:"B2",body:'Roberta S, Giuseppe I. Environmental impacts of olive oil production: A life cycle assessment case study in the province of Messina (Sicily). Journal of Cleaner Production. 2012;28:88-100\n'},{id:"B3",body:'Maria CC, Anna MG, Angela V. Soil amendment with olive mill wastes: Impact on groundwater. Journal of Environmental Management. 2013;131:216-221\n'},{id:"B4",body:'Sampedro I, Aranda E, Martin J, Garcia-Garrido JM, Garcia Romera I, Ocampo JA. Saprobic fungi decrease plant toxicity caused by olive mill residues. Applied Soil Ecology. 2004a;26:149-156\n'},{id:"B5",body:'Paredes C, Ceggara J, Roing A, Sanchez-Monedero MA, Bernal MP. Characterization of olive mill wastewater (alpechin) and its sludge for agricultural purposes. Bioresource Technology. 1999;67:111-115\n'},{id:"B6",body:'Martin J, Sampedro I, Garcia-Romera I, Garcia-Garrido JM, Ocampo JA. Arbuscular mycorrhizal colonization and growth of soybean (Glycine max) and lettuce (Lactuca sativa) and phytotoxic effects of olive mill residues. Soil Biology and Biochemistry. 2002;34:1769-1775\n'},{id:"B7",body:'Roig A, Cayuela ML, Sanchez-Monedero MA. An overview on olive mill wastes and their valorisation methods. Waste Management. 2006;9:960-969\n'},{id:"B8",body:'Aranda A, Sampedro I, Ocampo JA, Garcia-Romera I. Phenolic removal of olive-mill dry residues by laccase activity of white-rot fungi and its impact on tomato plant growth. International Biodeterioration and Biodegradation. 2006;58:176-179\n'},{id:"B9",body:'Tomati U, Galli E, di Lena G, Buffone R. Induction of laccase of Pleurotus ostreatus mycelium grown in olive mill waste waters. Agrochimica. 1991;35:275-279\n'},{id:"B10",body:'Hafidi M, Amir S, Revel JC. Structural characterization of olive mill waste-water after aerobic digestion using elemental analysis, FTIR and 13C NMR. Process Biochemistry. 2005;(8):2615-2622\n'},{id:"B11",body:'Borja R, Martin A, Maestro R, Alba J, Fiestas JA. Enhancement of the anaerobic digestion of olive mill wastewater by the removal of phenolic inhibitors. Process Biochemistry. 1992;(4):231-237\n'},{id:"B12",body:'Moustafa SMN, Abdelzaher HMA. Increasing of tomato yield grown in hydroponic system using Pythium oligandrum isolated from Khoaa, Aljouf, Saudi Arabia. Egyptian Journal of Microbiology. 2018;53:1-8\n'},{id:"B13",body:'Ribereau-Gayon P. Les Composes Phenoliques des Vegetaux. Paris: Dumond; 1968\n'},{id:"B14",body:'Wang X, Yu J, Wang Y, Wang L. Mechanism-based quantitative structure-activity relationships for the inhibition of substituted phenols on germination rate of Cucumis sativus. Chemosphere. 2002;46:241-250\n'},{id:"B15",body:'Wang TSC, Yang T, Chuang T. Soil phenolic acids as plant growth inhibitors. Soil Science. 1967;103:239-246\n'},{id:"B16",body:'Moreno E, Quevedo-Sarmiento J, Ramos-Cormenzana A. Antibacterial activity of waste waters from olive oil mills. In: Cheremisinoff PN, editor. Encyclopedia of Environmental Control Technology. Houston: Gulf Publishing Co.; 1990. pp. 731-757\n'},{id:"B17",body:'Hamdi M, Ellouz R. Use of Aspergillus niger to improve filtration of olive mill waste-waters. Journal of Chemical Technology and Biotechnology. 1992;53:195-200\n'},{id:"B18",body:'Sampedro I, Romero C, Ocampo JA, Brenes M, Garcia-Romera I. Removal of monomeric phenols in dry olive residue by saprobic fungi. Journal of Agricultural and Food Chemistry. 2004b;52:4487-4492\n'},{id:"B19",body:'Hammel KE. Organopollutants degradation by ligninolytic fungi. Enzyme and Microbial Technology. 1989;11:776-777\n'},{id:"B20",body:'Sanjust E, Pompel R, Rescigano A, Rinaldi A, Ballero M. Olive milling wastewater as a medium for growth of four Pleurotus species. Applied Biochemistry and Biotechnology. 1991;31:223-235\n'}],footnotes:[],contributors:[{corresp:"yes",contributorFullName:"Hani Mohamed Awad Abdelzaher",address:"abdelzaher1963@yahoo.com",affiliation:'
Department of Biology, College of Science, Jouf University, Saudi Arabia
Department of Botany and Microbiology, Faculty of Science, Minia University, Egypt
'},{corresp:null,contributorFullName:"Haifa Abdulaziz S. Alhaithloul",address:null,affiliation:'
Department of Biology, College of Science, Jouf University, Saudi Arabia
Department of Biology, College of Science, Jouf University, Saudi Arabia
Department of Botany and Microbiology, Faculty of Science, Minia University, Egypt
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1. Introduction
Highlighted by recent world-conflicts, such as the wars in Afghanistan and Iraq, it has become evident that a better and more comprehensive understanding of the relationship between stress-related psychological disorders and traumatic brain injury is much-needed, in both military and civilian populations. For the purposes of this chapter, we will focus on posttraumatic stress disorder (PTSD) and mild traumatic brain injury (mTBI); however, this is not to underplay the crucial need to better understand the wide range of stress-related psychological conditions and brain injury. The prevalence rates of PTSD and mTBI in American military personnel returning from Operation Enduring Freedom (OEF) and Operation Iraqi Freedom (OIF) has been reportedly as high as approximately 14 and 20%, respectively [1]. Despite both PTSD and mTBI conditions being “invisible injuries” (injuries not outwardly observable), they are both capable of creating significant disruptions in normal living for individuals. Further, what little we know about the co-occurrence of these conditions suggests that, when combined, they are more difficult to treat and often result in poorer prognoses [2, 3, 4]. This understanding is a significant advancement, as it was once thought that the loss of consciousness or altered mental status that is often observed with brain injury offered protection from the development of stress disorders [5]. Although it is recent military engagements that have highlighted the need for a better understanding of concomitant PTSD and mTBI, these conditions are prevalent in both military and civilian contexts and are therefore issues of broad public health on a global scale.
Approximately 3.5–7.0% of adults within the United States develop PTSD every year. When examining military personnel, this number increases to anywhere between 33 and 65% [6]. On the global scale, approximately 25% of the world’s population has been affected by PTSD, making it the most prevalent psychiatric disorder [7]. Traumatic brain injuries are also very commonplace, and well over one-million people within the U.S. seek care annually for brain injury [8], with the majority of these being classified as mild [9, 10]. Worldwide, up to 50-million people annually seek treatment [6]. However, this number is likely an underestimation as many individuals who suffer an mTBI do not seek medical care. Furthermore, those that do seek medical attention oftentimes are misdiagnosed or underdiagnosed, especially if symptoms are mild or transient and loss of consciousness is limited to a short period of time [11]. When examining PTSD comorbid with mTBI, it becomes clear that many of those that have been affected by trauma have also experienced mTBI. Within civilian populations, PTSD following accidents such as falls or automotive collisions in which an mTBI occurs, range from approximately 20–36% [12]. Within a military context, this number increases to roughly 34–44% [13, 14]. However, like the reporting of each condition in isolation, the potential for misdiagnosis or underdiagnosis is large.
The prevalence and impact of both mTBI and PTSD (whether it be together or in isolation) result in a high cost of treatment, increased suicide rates, and lost work, all of which place a substantial burden on healthcare systems. Although the true costs are difficult to quantify, estimates for the health services cost associated with an mTBI alone range from $10,000USD to $100,000+ per patient depending on severity, length of hospital stay, and costs of rehabilitation [15, 16, 17, 18, 19], with a mean cost of $96,000USD [20]. The numbers are equally startling for the treatment costs associated with PTSD, with annual costs in excess of 200 million USD in US military personnel alone [21], and civilian costs estimated at even greater levels [22, 23, 24]. This estimate does not include the loss of productivity associated with this condition, which easily exceeds billions of dollars at a national level [25]. Although both PTSD and mTBI have substantial costs of care in isolation, when combined, healthcare costs are certainly increased, largely due to the complexity of treating comorbid conditions.
Posttraumatic stress disorder and mild traumatic brain injury have overlapping symptomology yet require different therapeutic approaches. In classical diagnoses, detailed information is collected about the onset and progression of symptoms to arrive at a probable diagnosis, which is then further refined. When dealing with an individual that may meet diagnostic criteria for both conditions, this process becomes much more difficult. In theory, a pattern of symptom overlap and divergence could help differentiate etiologies when dealing with comorbid PTSD and mTBI, however, recent evidence suggests this is not the case. In a 2009 study, eight symptoms that are related to both PTSD and mTBI (fatigue, irritability, concentration problems, memory problems, depression, anxiety, insomnia, and dizziness) were examined and compared between patients who had experienced a recent mTBI or PTSD, revealing substantial overlap between both clinical groups. Although it was found that patients with PTSD had greater overall symptom severity, the degree of overlap prevented differential diagnoses based on the pattern of symptoms reported [26]. A meta-analysis conducted the same year [27] provided some evidence that there are symptoms unique to each when occurring in isolation (PTSD—shame, guilt, re-experiencing symptoms; mTBI—headache, sensitivity to light, dizziness, memory deficits), however, this information does not assist in the diagnosis of those that experience both mTBI and PTSD. Therefore, it remains unclear which aspects of these disorders play significant roles in disease onset following event exposure (whether it be set individual traits, epigenetic changes, alterations to specific brain area structure and function, or a combination of these and other factors), and ultimately which set of symptoms will manifest that are linked to the genuine presence of PTSD, mTBI, or both.
The objective of this chapter is to review our current understanding of comorbid mTBI and PTSD, with an emphasis on reviewing the current state of biomarkers used to diagnose comorbid mTBI and PTSD that offer promise on a single-patient basis. To best accomplish these goals, we will begin with providing definitions of what is meant by the terms PTSD and mTBI. Following, we will review the current understanding of the neurological underpinnings of each condition, with a focus on areas of overlap, and examine currently accepted methods of diagnosis and treatment options. Lastly, we will provide an account of the current researchers utilizing biomarkers for either diagnosis or prognosis of PTSD and mTBI, as well as discuss implications for future research and treatment.
2. Definitions
The lack of consistent definitions and assessments of mTBI and PTSD complicates the ability to capture accurate statistics for each condition. We focus on mild traumatic brain injury, as this is both the most common traumatic brain injury in civilian [28] and military populations [29], and is also the most likely to co-occur with PTSD [30]. Additionally, as mTBI is often the hardest to diagnose, the pursuit of biomarkers with clinical utility is of great importance. However, when it comes to describing what constitutes an mTBI, a large amount of ambiguity becomes apparent. What is clear is that for a diagnosis of mTBI, two things need to occur: (1) An external force must be exerted to the head; and (2) there must be a temporary change of mental status and/or other evidence of brain injury. Of course, for a traumatic brain injury to be classified as mild, there also needs to be an upper limit for the severity. This includes: (1) a loss of consciousness that does not exceed 30 minutes; and (2) posttraumatic amnesia that does not exceed 24 hrs. These criteria are largely accepted on a global scale [31, 32, 33] and will be used for this chapter as well.
Formal methods for the diagnosis of PTSD currently exist, making the definitions regarding the psychiatric condition somewhat consistent. In general, PTSD is characterized by four symptom clusters that develop in response to a traumatic event. The traumatic event must involve exposure to actual or perceived death, serious injury, or sexual violation. Furthermore, the event must be directly experienced or witnessed by the individual, or indirectly experienced by subsequently learning about the event after it happened to a close family member or friend. Specific clinical criteria include: (1) intrusive symptoms related to re-experiencing the trauma; (2) avoidance of the traumatic memory or cues; (3) negative mood and thoughts including emotional numbing and anhedonia; and (4) altered arousal including hypervigilance, irritability, aggression, and sleep disturbances [7, 34]. Additionally, symptoms result in significant social, personal, and vocational impairment [7]. PTSD is commonly comorbid with other anxiety or mood disorders, further complicating diagnosis, and is also associated with increased risk for numerous negative behavioral and health conditions, including substance use disorder, type II diabetes, and Alzheimer’s disease [35, 36, 37, 38], significantly expanding the costs of treatment. Although the criteria for diagnosing PTSD are rather straightforward, this does not mean that PTSD is a static phenomenon without gradation. It is known that PTSD symptoms appear on a continuum and can fluctuate in terms of their functional impact and presence across time. Furthermore, although the precipitating traumatic event is a critical component of PTSD, it is how an individual responds to that trauma that is essential in the diagnosis. An identical traumatic event for one individual may result in PTSD, whereas another person experiencing an identical event may not. Therefore, it is as much about the symptoms and functional impairment as it is about the event itself.
3. Neurobiological underpinnings
Research has shown that both mTBI and PTSD are correlated with both structural and functional changes in the brain, as evidenced by advanced neuroimaging. As can be seen in Figure 1, there are many regions of the brain that are known to be particularly susceptible to both mTBI and PTSD.
Figure 1.
Multiple brain regions have been suggested as vulnerable to mTBI (green), including the dorsolateral prefrontal cortex, the temporal pole, cerebellum, and frontal white matter tracts connecting the amygdala and medial prefrontal cortex. PTSD has been correlated with numerous brain regions as well (red) including the amygdala, hippocampus, dorsolateral and dorsomedial prefrontal cortex, and orbitofrontal cortex. Areas in common to both PTSD and mTBI are displayed in yellow.
Within PTSD, structural and functional imaging studies have shown a wide range of brain regions that are affected. These regions include the amygdala, hippocampus, dorsolateral and dorsomedial prefrontal cortex, and the orbitofrontal cortex. As should be apparent, many of these regions have functional implications for the onset and maintenance of PTSD symptomology [39, 40]. When examining brain structure, many studies (including two large meta-analyses) have shown reduced volume in the hippocampus, a brain area that is known to mediate declarative memories [41, 42]. Similarly, reduced volume within the anterior cingulate cortex and insula have also been shown to be related to PTSD onset [43]. When examining the functional neuroimaging data related to PTSD, exposure to stimuli related to an individual’s trauma is associated with increased PTSD symptoms in concert with decreased activity within the medial prefrontal cortex and anterior cingulate [44, 45, 46]. Additional areas of decreased function during exposure to trauma-related stimuli include the inferior frontal gyrus, parietal cortex, visual association cortex, and hippocampus [44, 47, 48]. In contrast, areas of increased activity relative to controls include the amygdala [49, 50], parahippocampal gyrus [44, 51], and posterior cingulate [44, 45, 51]. Taken together, the existing literature provides strong evidence of dysfunction within a network of brain regions that are highly related to PTSD symptoms including the hippocampus and amygdala, cingulate cortex, and medial prefrontal cortex [52].
When examining the neurological correlates of mTBI, brain regions are most often damaged if the shearing forces that the brain undergoes during an mTBI are of sufficient magnitude to deform neural cells beyond normal tolerance levels [53]. If this deformation is of sufficient force to cause axonal tearing, the effects of the mTBI are likely to consist of longer-lasting neurological sequelae resulting from alterations to functional connectivity or difficulty with neuronal processing of information [54]. In comparison, if such forces are of a lesser magnitude, the neurological, cognitive, and behavioral symptoms are more likely to be short lived. In general, these forces particularly affect the longer white-matter tracts of the brain including the hypothalamic-pituitary–adrenal (HPA) axis, frontal, temporal, and limbic areas [55]. Specifically, these include the dorsolateral prefrontal cortex, the temporal pole, cerebellum, and frontal white matter tracts connecting the amygdala and medial prefrontal cortex [39, 40, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67]—all aforementioned areas that are also implicated in PTSD.
Although the role each of these regions play in the formation of cognition is beyond the scope of this chapter, it is apparent that many of these regions are involved in both emotional regulation and executive function, especially those that are affected in both PTSD and mTBI, including the prefrontal cortex and hippocampus [58, 68]. Perhaps not surprisingly, with the large amount of overlap in the neural substrates that are affected by both PTSD and mTBI, there is a fair degree of overlapping symptomology that has a significant impact on optimal methods for both diagnosing and treating PTSD concurrent with mTBI.
4. Current methods of diagnosis and treatment options
As stated previously, due to the overlap of symptoms in both PTSD and mTBI (Table 1), it is more difficult to both diagnose and treat PTSD when comorbid with mTBI. For example, in a recent study of 630,000+ veterans diagnosed with PTSD, only 30% had PTSD alone, with most suffering from concurrent psychiatric conditions, of which mTBI was a prominent co-condition [69].
PTSD
mTBI
PTSD/mTBI
Behavioral symptoms
Aggression Agitation Avoidance of cues Hostility Hypervigilance Irritability Self-Destructive Behavior
Inability to concentrate or focus on tasks Insomnia Nightmares Sensitivity to sound
Coordination problems/loss of balance Amnesia Disorientation Dizziness Fatigue Headache Inability to concentrate or focus on tasks Insomnia Sensitivity to sound
Inability to concentrate or focus on tasks Insomnia Sensitivity to sound
Psychological Symptoms
Anhedonia/loss of interest Anxiety Depression Intrusive thoughts/Unwanted thoughts Reexperiencing the event/Flashbacks Shame/Guilt Social Isolation/Loneliness
Anxiety Apathy Depression
Anhedonia/Apathy Anxiety Depression
Table 1.
Symptomologies of PTSD and mTBI.
Diagnosis of PTSD usually consists of a combination of self-report measures and structured and/or semi-structured interview procedures. These procedures are often based on soliciting the information required to determine whether DSM-5 criteria [34] (or alternatives such as the ICD-10 [70]) have been met and include components of the trauma, symptoms/symptom clusters, and subtypes of the disorder. Common structured interviews, such as the Clinician-Administered PTSD Scale (CAPS), are considered both reliable and valid, however, they are time intensive [71]. Furthermore, due to upwards of 93% of PTSD cases co-reporting another psychiatric disorder, it can become difficult to differentiate between disorders with overlapping symptoms [6].
Unlike the diagnosis of TBI, where CT and MRI structural images readily demonstrate contusions or bleeds verifying their presence, there is a lack of interdisciplinary consensus as to what constitutes an mTBI. Although some criteria have been generally accepted (such as those described within the introduction of this chapter), there are diagnostic criteria available from the American Congress of Rehabilitation Medicine (ACRM), the US Centers for Disease Control and Prevention (CDC), and the World Health Organization (WHO) [72]. Therefore, the utility of a consistent and universally accepted measure of mTBI presence would be of great benefit when diagnosing a mTBI in isolation, and especially when attempting to diagnose in the presence of the overlapping symptoms commonly reported in PTSD.
As should be apparent from this cursory examination, the current process of diagnosing both PTSD and mTBI is largely reliant on often erroneous self-report techniques and arduous clinical interviews that have an inherent lack of consensus, necessitating improvements in both speed of diagnosis and consistency to best offer care and interventions to patients with PTSD and mTBI. One such avenue of providing this information may be found through the discovery of diagnostic biomarkers, which will be the primary focus of discussion for the remainder of this chapter. Before such a discussion takes place, it is important to further highlight the need for improved methods of diagnosing comorbid mTBI and PTSD by examining the implications such discoveries may have on treatment of each condition.
Although there are recognized “gold-standard” treatments for PTSD, there is still much room for improvement. For PTSD, Cognitive Behavioral Therapy (CBT) [73] and psychopharmacological treatment with selective serotonin reuptake inhibitors (SSRIs) and/or serotonin noradrenaline reuptake inhibitors (SNRIs) are often used for treatment. Similarly, both psychological and pharmacological treatments are recommended for the treatment of mTBI, such as CBT [74] in conjunction with pharmacological treatment of the sequalae associated with mTBI [75]. However, in a recent study of the evaluations of 41 guidelines related to the treatment of mTBI, only three were founded in what was determined to be an evidenced-based fashion [76], highlighting the need for more rigorous and evidence-based treatment regimens. There is even less evidence-based guidance when it comes to the treatment of comorbid mTBI and PTSD, making research on how to best identify multimorbidity in PTSD patients critical to developing effective treatment strategies.
5. Current biomarker research
As should be evident from the previous sections from this chapter, both the ability to diagnose PTSD comorbid with mTBI and the ability to effectively monitor treatment of the concurrent conditions would benefit from the identification of biomarkers. For this discussion we adapt the definition of a biomarker using a conceptual framework that is useful for clinical research and treatment purposes. This may include any information that can be used as an objective indication of a relevant medical state observed from outside the patient. Importantly, these signs must be able to be measured accurately and have high levels of replicability. This is captured in the WHO’s definition of a biomarker as “any substance, structure, or process that can be measured in the body or its products and influence or predict the incidence of outcome or disease” [77] and can be expanded to “… almost any measurement reflecting an interaction between a biological system and a potential hazard…[and] may be functional and physiological, biochemical at the cellular level, or a molecular interaction.” [78]. In alignment with these requirements, our discussion will focus on the relevance and validity of the suggested biomarkers, allowing for it to be used as a surrogate endpoint [79]. There are a wide range of biomarkers and targets currently being researched for roles in both mTBI and PTSD. A summary of biomarkers currently undergoing research that meet the criteria previously discussed can be seen in Table 2, with in-depth discussion of each following.
HPA axis dysregulation
Cortisol
Adrenal glucocorticoid hormone that modulates the HPA axis
Cytokine protein involved in inflammation Cytokine protein involved in immune function regulation Cytokine protein with pro- and antiinflammatory actions Cytokine protein involved in inflammation Cytokine protein with anti-inflammatory actions
PTSD PTSD PTSD and mTBI mTBI mTBI
C-reactive protein (CRP)
Circulating protein released in response to inflammation
PTSD
Tumor Necrosis Factor alpha subunit (TNF-α)
Cytokine protein with pro-inflammatory actions
PTSD
Interferon gamma (IFN-γ)
Cytokine protein involved in immune function regulation
PTSD
Marinobufagenin (MBG)
Endogenous steroid related to myocardial infarction, heart failure, and kidney failure
Involved in emotional processing, and conditioned fear Involved in inhibition and goal-directed behaviors Cortical structure involved in mediating emotion and cognitive function Involved in memory and cognition
PTSD PTSD PTSD PTSD
Diffusion weighted imaging (DWI)
Noninvasive technique using a specific form of Magnetic Resonance Imaging (MRI) to view water diffusion in images
mTBI
Magnetic resonance spectroscopy (MRS)
Noninvasive technique to analyze metabolic changes in tissue
mTBI
Neuronal and axonal injury
Tau Protein Ubiquitin C-terminal hydrolase isozyme L1 (UCHL1) Neuron-specific enolase (NSE)
Protein expressed primarily in neurons, involved in stabilizing microtubules Enzyme involved in axonal transport and integrity Enzyme involved in glycolytic metabolism in the brain
mTBI mTBI mTBI
Neutrophil gelatinaseassociated lipocalin (NGAL)
Polypeptide released in response to systemic inflammation
mTBI
Blood Brain Barrier Disturbances
CSF/serum albumin ratio Astrocyte-specific SNS protein S100B
Measure of cerebrospinal fluid components in the periphery following injury Binding protein produced by astrocytes involved in intracellular functions
mTBI mTBI
PrPc-cellular prion protein
Glycoprotein typically anchored to plasma membranes, proposed to be involved in neurodegenerative prion disease
mTBI
Cerebral Blood Flow Changes
Vasoreactivity
MRI measurable changes that could impair smooth muscle and affect cognition
mTBI
Table 2.
Summary of current biomarker research.
5.1 PTSD
Most of the promising biomarkers for the presence of PTSD are related to either dysfunction of the HPA axis, monoamine systems, heightened inflammation, genetic and epigenetic changes thought to be a result of methylation brought about through exposure to prolonged stress, or functional and structural neuroimaging. There has also been growing interest and research in the examination of psychophysical biomarkers of PTSD, such as indicators of hyperarousal (heart rate, blood pressure, skin conductance, etc.). However, examination of these forms of hyperactivity through psychological testing is beyond the scope of this chapter.
HPA Axis Dysregulation. Cortisol, a circulating adrenal glucocorticoid hormone that modulates the HPA axis is known to be involved in anxiety responses and sleep regulation [80]. Research has shown that within a PTSD population, lower salivary cortisol levels were found when compared to control participants, especially when measurements were taken in the morning [80]. Typically, there is a diurnal cycle of salivary cortisol with peak concentration observed shortly after waking, and then drops across the waking hours. In addition to a lower morning level of cortisol, PTSD patients have also demonstrated a blunted cortisol response throughout the day [81]. This blunted cortisol reactivity in response to exposure to acute stress may offer more promise as it removes confounds associated with the measurement of baseline cortisol, such as sex differences and time of day effects. Therefore, although not specific to the presence of PTSD, measurements of circulating cortisol levels may form part of a panel of assays designed to detect the presence of PTSD in a clinical population due to its non-invasive status when measured from a saliva sample.
Monoamine Dysfunction. As PTSD includes increased sympathetic nervous system tone, it is not surprising that levels of norepinephrine (NE) are also heightened [82]. In a prospective study of motor vehicle accident survivors, urinary levels of NE were positively correlated with the likelihood of development of PTSD in the month following trauma, but only in males [83]. Changes in the serotonergic (5-HT) system have also been observed in PTSD. Specifically, 5-HT transporter binding within the amygdala is reduced in PTSD and correlated with both anxiety and depression within PTSD patients [84].
Inflammatory and Immune Function. Stemming from the high comorbidity between PTSD and general physical illnesses [85], there has been extensive examination of the potential role of markers of inflammation as a proxy for PTSD and PTSD symptomology. In all instances examined, there is a positive correlation between inflammatory markers and PTSD symptomology. This includes interleukin (IL) -6 [86], IL-2 [87], IL-1β [88]. Additionally, increased C-reactive protein (CRP) levels are shown to be elevated in individuals with PTSD [89, 90, 91], but also has been shown to be predictive of post-deployment PTSD when examined in a prospective study [92]. Continuing this trend, PTSD is also positively correlated with higher levels of TNF-α and IFN-γ when compared to healthy controls, likely as a result of the persistent stress experienced [93]. In general, data concerning the relationship between inflammatory responses and PTSD confirm that PTSD is likely associated with chronic inflammation. Although this may lead to inflammation as a viable therapeutic target to alleviate at least some of the symptoms associated with PTSD, they do not serve well as a general biomarker of PTSD presence or prognosis due to its status as a hallmark finding in many other diseased states, including those that are often comorbid with PTSD [85, 94, 95, 96, 97].
Genetic Variation. Most genetic and epigenetic findings have clustered around modulators of HPA axis function either before or following trauma. Perhaps the most cited modulator is FKBP5, a protein encoding gene involved in immunoregulation [98]. Polymorphisms on FKBP5, specifically Val66Met, have been associated PTSD [99]. Met-allele carriers are also reported to have greater severity in PTSD symptoms amongst veterans compared to Val/Val genotypes [100]. However, FKBP5 is also associated with depression [101], a condition known to often co-occur with PTSD therefore making its use as a solitary differential marker of PTSD unlikely. The serotonin transporter gene linked polymorphic region (5-HTTLPR short and long) has also been linked to trauma exposure and depression. Individuals with the LL genotype exhibit lower intrusion and avoidance symptoms compared to those with the S-allele, though no differences were found in other PTSD symptoms [102]. Increased methylation levels at 4 promotor sites on BDNF were found in PTSD patients that experienced high combat exposure compared to those without PTSD [103]. Reduced glucocorticoid receptor NR3C1-1F promotor methylation was found in combat veterans that developed PTSD when compared to those that did not [104]. Hypermethylation at NR3C1 gene promoters were associated with lower risk of PTSD in male genocide survivors, but not female [105].
As has become apparent, many (if not all) of these genetic regions have been associated with other psychiatric conditions and may therefore be a better marker of stress-induced psychopathology in general rather than PTSD specifically, and there has yet to be a single genetic or epigenetic factor that reliably predicts the presence or severity of PTSD in isolation of other psychiatric conditions.
Functional and Structural Neuroimaging. One of the most consistent findings regarding neuroimaging of PTSD is the presence of increased amygdala activation when compared to controls when patients have been exposed to fear inducing stimuli [106]. For example, there have now been a number of studies that demonstrate hyperactivity of the amygdala when PTSD participants have been exposed to trauma-relevant words when compared to amygdala activity of control participants [107, 108, 109, 110]. Further studies have shown that this increased activity may be a result of weakened inhibitory control of the amygdala by the medial prefrontal cortex [106, 108, 110]. Furthering these findings, a recent meta-analysis of imaging studies during emotional tasks for individuals with PTSD, anxiety, and phobia revealed that only the PTSD patients demonstrated decreased activity within the rostral anterior cingulate cortex, offering a potential mechanism to distinguish between aberrant functional activity observed in PTSD and not in other anxiety disorders [111].
In addition to functional studies, a number of structural examinations of PTSD have taken place using neuroimaging techniques. Early studies examining structural differences between PTSD and non-PTSD patients demonstrated that smaller hippocampal volume may be associated with an increased risk of developing PTSD [112], though this finding has more recently been questioned with hippocampal volume reductions being acquired with trauma exposure [113]. When examining specific regions of the hippocampus using structural MRI, it appears as though reductions in specific subregions can be associated with PTSD symptoms. Specifically, reductions within the cornu ammonis 3 (CA3) layer of the hippocampus and the dentate gyrus are related to PTSD symptomology [114].
5.2 mTBI
Currently, mTBI is typically diagnosed based solely on clinical presentation, in comparison to TBI which has prominent and objective neuroimaging findings. This has several implications as to the utility of biomarkers of mTBI. Perhaps of primary concern is the fact that any biomarker that would offer clinical benefits must be correlated with clinical symptom presentation. For example, a marker that elevates with impacts to the head without observable changes in clinical presentation in the patient would be of little clinical use. Potential biomarkers for mTBI are most often related to, or spawned, by the axonal injury that occurs following the much smaller forces related to a mTBI. These can be broadly categorized as those that are related to neuronal and axonal injury, blood brain barrier disturbances, neuroinflammation, cerebral blood flow changes, and genetic variation.
Neuronal and Axonal Injury. Disturbances of the cellular environment often occur following the shearing forces that often accompany mTBI [115], and while this usually is not to the extend to the point of axonal disconnection, it can indirectly affect membrane homeostasis which ultimately results in cell damage [53, 116]. There are several potential biomarkers associated with neuronal damage. Tau protein is known to be changed in response to injury [117] including mTBI, at least in animal models [118]. In one of the larger human studies (196 patients), the ratio of phosphorylated-tau to total tau had both a good diagnostic and prognostic marker for acute TBI, including those with a mild severity [119]. Other biomarkers of neuronal and axonal injury that have been explored as potentials include ubiquitin carboxyl-terminal hydrolase isozyme L1 (UCHL1), [120, 121, 122], neuron-specific enolase (NSE) [123, 124, 125], and neutrophil gelatinase-associated lipocalin (NGAL) [126]. However, current research into their utility has not demonstrated sufficient levels of specificity and/or replicability to be discussed in detail, but likely warrant further examination.
Blood Brain Barrier Disturbances. Although it has been well demonstrated that blood brain barrier (BBB) disruptions are associated with TBI [127], there is growing evidence that there are BBB disruptions following mTBI during both the chronic and the acute phase [128]. There are a number of non-invasive indirect measures of BBB dysfunction that rely on the detection of cerebrospinal fluid (CSF) components within peripheral serum, however, there has been little convincing evidence that suggests it will be a suitable biomarker of mTBI if used in isolation. The CSF/serum albumin ratio is the standard biomarker for BBB integrity [129] but is not sensitive enough to detect the presence of BBB disruption as a result of mTBI [130]. Perhaps the most studied is the astrocyte-specific SNS protein S100B. Research has shown that the detection of this marker approaches the same levels of sensitivity as the CSF/serum albumin ratio [127], and has been used to rule out mTBI in emergency medicine already, where S100B levels have a high (99 + %) predictive value [131]. However, there is relative non-specificity of elevated S100B (as there are extracerebral sources of S100B in peripheral blood), and it has also shown to be elevated in clinical cases without head trauma [132]. Further dampening enthusiasm, there is still conflicting evidence as to whether S100B levels are positively correlated with mTBI [133]. A less explored, though perhaps more promising marker is the glycoprotein PrPc—cellular prion protein. Since this plasma-soluble prion protein is located within the plasma membrane, is has been suggested that it may be released following an mTBI as a result of BBB dysfunction [134], with animal models showing increased serum levels following blast exposure induced mTBI [135, 136]. Within humans, a small (N = 6) study amongst athletes demonstrated PrPc levels increased and remained elevated following mTBI [134]. More recently, a slightly larger study conducted within a hospital setting (N = 20) confirmed this effect with elevated PrPc levels following TBI, with 8 of the 20 being classified as mild injuries. However, PrPc did levels did not correlate with severity of trauma [137]. A third study confirmed the ability for PrPc levels to differentiate TBI with cognitive symptoms versus TBI in which no cognitive symptoms were present [138]. Although additional study is required, these specific features of PrPc make it a particularly attractive candidate biomarker for mTBI. Specifically, its relative specificity with regard to cognitive dysfunction, and ability to be detected years following trauma, are likely of great utility.
Neuroinflammation. Following TBI, including mTBI, there is a cascade of events that ultimately results in the presence of inflammation [139, 140, 141, 142], offering an opportunity to examine markers of the neuroinflammatory response as a marker of brain injury. Two promising classes of markers of neuroinflammation are the inflammatory interleukin proteins and the cardiotonic steroid marinobufagenin. There have been many studies demonstrating elevated levels of interleukins including IL-6, IL-8 and IL-10 following brain injury [143, 144, 145, 146, 147, 148], as well as studies showing these levels are related to clinical outcome in mTBI [149, 150]. In a small (N = 6) study, marinobufagenin (MBG) levels were initially increased following mTBI, along with symptomology [151]. As MBG levels decreased, symptom scores also decreased, suggesting there may be a relationship between symptoms and MBG. A larger study (N = 110) found MBG levels were elevated following mTBI, and were also correlated with reported symptoms [151] adding further evidence for the potential utility of MBG.
A further drawback to most biofluid based biomarkers of mTBI is the timescale at which they can be detected, necessitating their examination within the acute stage of the injury as they return to baseline levels rather quickly (though PrPc is an exception to this). As an alternative, potentially longer-lasting biomarker, advanced neuroimaging techniques such as diffusion weighted imagery (DWI) and magnetic resonance spectroscopy (MRS) for diagnosing the presence of an mTBI at a timescale that extends beyond the acute stage. Genetic information may offer additional information not available through the other methods discussed, such as the susceptibility to mTBI following head trauma, reflected in the likelihood of developing symptoms based on genetic variation.
Cerebral Blood Flow Changes. Recent research has shown that following mTBI, there are changes in vasoreactivity that impair smooth muscle response [152], ultimately affecting cerebral blood flow that animal models have shown can persist up to a year after initial damage [153]. Due to the extended period of blood flow changes, this may be an ideal candidate for evaluating whether long-term changes in cognition are a result of a previously acquired mTBI [154]. These changes in blood flow can be detected using modern magnetic resonance imaging techniques as hypoperfusion in many of the anatomical regions previously described as particularly susceptible to mTBI injury including the prefrontal, frontal, and temporal regions of the brain [118].
Genetic Variation. The two leading genetic candidates are the genetic mutations in the genes encoding for apolipoprotein E (APOE) and brain-derived neurotrophic factor (BDNF). It is important to note that both of these genes are already being explored as they pertain to the risk of generating various types of neurodegeneration disorders, such as Alzheimer’s disease [155]. This finding is not all that unexpected considering the building link between mTBI and subsequent neurodegenerative conditions [156, 157, 158, 159]. The APOE ε4 allele has been shown to be a significant risk factor for the development of Alzheimer’s disease, but systematic review [160] has shown it is unrelated to mTBI diagnosis. Interestingly, this same allele confers increased risk to some of the cognitive impairment associated with the longer-term symptoms of mTBI [161]. When it comes to studies examining the role of BDNF, a small sample (at least on the scale of genetic studies; N = 110) showed a link between carriers of the minor allele of rs115769 and the memory impairments often associated with mTBI [162], as well as the BDNF Val66Met allele being linked to a higher risk of experiencing an mTBI [163], and increased experience of emotional symptoms following the occurrence of an mTBI [164]. Further, it was been shown that mutations of BDNF rs6265 Val66Met polymorphisms affect neurocognitive performance in patients following mTBI, offering the potential for predicting which patients will go on to develop neurocognitive symptoms following mTBI [165].
6. Summary and conclusions
Biomarkers for PTSD. At this time, there are a number of biomarkers that are associated with PTSD risk, symptoms, and symptom progression. Despite this association, due to the common comorbidity with both other psychiatric conditions and general health status, there is currently little chance of using any single marker as a diagnostic characterization. Future studies must do a more thorough examination of biological and psychological states within PTSD to be able to characterize a combination of biomarkers that may cluster around symptoms and symptom progression in a meaningful way. One way that this may be accomplished is through the use of biomarkers to identify features associated with PTSD, rather than with markers that are consistent with the DSM criteria [166]. For example, it may be that reduced hippocampal volume is associated both with PTSD and comorbid depressive state and can serve as a biomarker of the cluster of symptoms associated with both. This approach would necessitate a panel of biomarkers to increase the specificity, sensitivity, and replicability of any proposed tool. In fact, such an approach utilizing signals from multiple biological domains totaling in excess of one million unique markers was used to define 343 candidate biomarkers via a combination of data-driven and hypothesis driven approaches. These features were further reduced to 28 based on performance and ability to track phenotype, resulting in a final panel which obtained impressive levels of accuracy, sensitivity, and specificity (81, 85, and 77%, respectively) [167].
Biomarkers for mTBI. Currently, there is insufficient evidence to support a relationship between biomarkers of mTBI and clinical outcomes, though many offer promise of acting in this capacity. For this relationship to be drawn, it is imperative that future research includes clinical outcome measures and that a standardized study design is utilized. From the non-exhaustive work cited here, it is clear that differences in methodology, especially related to the timing of sample collection, the length of follow-up, the clinical measurements performed, and the clinical population studied all could be leading to the sometimes-conflicting results reported and the relatively small, unconvincing effect sizes. Further, it is also apparent that although many of the reported biomarkers are sensitive to the presence of head impact, unless the candidate biomarker scales with symptoms reported, it will be of little clinical utility. In fact, there is often little disagreement as to whether an impact to the head has occurred, but rather, the intent of the biomarker is to assess whether that impact is going to result (or is the cause) of symptoms being reported.
7. Summary of differential features
Differential features of biomarkers specific to PTSD
HPA Axis Dysregulation (cortisol)
Monoamine Dysfunction (norepinephrine and serotonin)
Inflammatory and Immune Function (interleukins 2 and 1ß, C-reactive protein)
Genetic Variation (polymorphisms and methylation on genes FKBP5, 5-HTTLPR, and NR3C1)
Functional and Structural Neuroimaging (differential activation in amygdala, prefrontal cortex, hippocampus and rostral anterior cingulate cortex)
Differential features of biomarkers specific to mTBI
Biomarkers for PTSD comorbid with mTBI. It should be apparent from the lack of conclusive biomarkers for PTSD and mTBI when occurring in isolation that there is currently little prospect for a single biomarker that will be able to diagnose PTSD concurrent with mTBI versus detecting the presence of each condition in isolation. Part of this difficulty directly stems from the current method of diagnoses for each of these conditions. As previously discussed, although mTBI is most certainly a neurological event, it is diagnosed in a manner consistent with a psychiatric condition—based on the collection of symptoms reported. With the overlap of symptoms between both mTBI and PTSD, many of the identified biomarker candidates would be expected to be present in both PTSD and mTBI, ultimately hindering a differential diagnosis. In essence, the same conditions that necessitate the identification of a biomarker of these conditions also prevents its discovery. In addition to the necessity for larger and better designed studies, it is clear that examining the potential of any biomarker in isolation is ultimately a futile event. What may be possible in the near future is the union of several different biomarkers that are selected based on their specificity and replicability in differentially identifying PTSD and mTBI. This will require larger scale studies that collect a wide range of neuropsychological and biological samples, as well as neuroimaging, and combine them to truly accomplish these goals. In recent years there has been some progress in this regard [168, 169], at least signifying that within the field there is a recognized need and attempt to combine biomarkers not only from separate conditions, but indeed separate disciplines to discover ways to diagnose PTSD concurrent with mTBI in a more rigorous and efficient manner. This use of a collective intelligence approach, common in other fields such as finance [170], would allow for domain area expertise to identify successful candidates from what is a current, and continually growing, set of candidate biomarkers.
In summary, posttraumatic stress disorder and mTBI are both significant problems that lead to reduced quality of life for a wide range of people. Due to the nature of symptoms, diagnosis and treatment is inefficient and often delayed, resulting in additional complications in patient outcomes. Determining consistent and accurate biomarkers to improve diagnostic measures of both PTSD and mTBI as well as to differentiate between the two would improve outcomes for both disorders. In the near future, the combination of a selection of the individual biomarkers discussed could be used to design a comprehensive screening tool for individuals following a traumatic event. Additionally, identification of biomarkers involved in the transition post-injury to long-term post-concussive symptoms could allow for early intervention and prevent development of PTSD following trauma. Further, the monitoring and classification of individual responses to screening arrays could dictate the best treatment options, and inform recommendations of medication, therapies, neuromodulation techniques and various combinations from those currently available. Ultimately, this could allow patients and physicians to better direct treatment and response measures based on the individual’s biological makeup.
\n',keywords:"posttraumatic stress disorder, mild traumatic brain injury, biomarker, treatment",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/80597.pdf",chapterXML:"https://mts.intechopen.com/source/xml/80597.xml",downloadPdfUrl:"/chapter/pdf-download/80597",previewPdfUrl:"/chapter/pdf-preview/80597",totalDownloads:78,totalViews:0,totalCrossrefCites:0,dateSubmitted:"December 4th 2021",dateReviewed:"January 19th 2022",datePrePublished:"February 25th 2022",datePublished:null,dateFinished:"February 24th 2022",readingETA:"0",abstract:"For nearly 100 years, it was erroneously believed that the loss of consciousness and/or the altered mental status associated with a mild traumatic brain injury (mTBI) offered protection from the development of posttraumatic stress disorder (PTSD). However, it is now accepted that it is possible for PTSD to result from mTBI, and that the co-occurrence of these two conditions creates a more difficult condition to treat and worsens prognosis. In addition, it is known that the symptomology associated with PTSD and mTBI have a great deal of overlap, complicating diagnoses. The objective of this chapter is to review the current state of biomarkers aimed at diagnosing comorbid mTBI and PTSD that are useful on a single-patient basis and are not reliant on self-report or arduous interviews. Further, implications for future research and treatment are discussed.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/80597",risUrl:"/chapter/ris/80597",signatures:"Jamie L. Scholl, Eric T. Graack, Michaela S. Ahrenholtz, Taylor J. Bosch and Lee A. Baugh",book:{id:"10784",type:"book",title:"Stress Related Disorders",subtitle:null,fullTitle:"Stress Related Disorders",slug:null,publishedDate:null,bookSignature:"Prof. Emilio Ovuga",coverURL:"https://cdn.intechopen.com/books/images_new/10784.jpg",licenceType:"CC BY 3.0",editedByType:null,isbn:"978-1-80355-364-1",printIsbn:"978-1-80355-363-4",pdfIsbn:"978-1-80355-365-8",isAvailableForWebshopOrdering:!0,editors:[{id:"70800",title:"Prof.",name:"Emilio",middleName:null,surname:"Ovuga",slug:"emilio-ovuga",fullName:"Emilio Ovuga"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}},authors:null,sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Definitions",level:"1"},{id:"sec_3",title:"3. Neurobiological underpinnings",level:"1"},{id:"sec_4",title:"4. Current methods of diagnosis and treatment options",level:"1"},{id:"sec_5",title:"5. Current biomarker research",level:"1"},{id:"sec_5_2",title:"5.1 PTSD",level:"2"},{id:"sec_6_2",title:"5.2 mTBI",level:"2"},{id:"sec_8",title:"6. Summary and conclusions",level:"1"},{id:"sec_9",title:"7. Summary of differential features",level:"1"}],chapterReferences:[{id:"B1",body:'Tanielian T et al. Invisible Wounds: Mental Health and Cognitive Care Needs of America’s Returning Veterans. Santa Monica, CA: Rand Corporation; 2008'},{id:"B2",body:'Tanev KS et al. PTSD and TBI co-morbidity: Scope, clinical presentation and treatment options. Brain Injury. 2014;28(3):261-270'},{id:"B3",body:'Otis JD et al. Complicating factors associated with mild traumatic brain injury: Impact on pain and posttraumatic stress disorder treatment. Journal of Clinical Psychology in Medical Settings. 2011;18(2):145-154'},{id:"B4",body:'McAllister TW. Psychopharmacological Issues in the Treatment of TBI and PTSD. The Clinical Neuropsychologist. 2009;23(8):1338-1367'},{id:"B5",body:'Adler A. 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Acute CSF interleukin-6 trajectories after TBI: Associations with neuroinflammation, polytrauma, and outcome. Brain, Behavior, and Immunity. 2015;45:253-262'},{id:"B150",body:'Csajbok LZ et al. In-hospital C-reactive protein predicts outcome after aneurysmal subarachnoid haemorrhage treated by endovascular coiling. Acta Anaesthesiologica Scandinavica. 2015;59(2):255-264'},{id:"B151",body:'Oliver J et al. Comparison of neurocognitive testing and the measurement of marinobufagenin in mild traumatic brain injury: A preliminary report. Journal of Experimental Neuroscience. 2015;9:S27921'},{id:"B152",body:'DeWitt DS, Prough DS. Traumatic cerebral vascular injury: The effects of concussive brain injury on the cerebral vasculature. Journal of Neurotrauma. 2003;20(9):795-825'},{id:"B153",body:'Jünger EC et al. Cerebral autoregulation following minor head injury. Journal of Neurosurgery. 1997;86(3):425-432'},{id:"B154",body:'Xiong Y, Mahmood A, Chopp M. Animal models of traumatic brain injury. Nature Reviews. Neuroscience. 2013;14(2):128-142'},{id:"B155",body:'Liu C-C et al. Apolipoprotein E and Alzheimer disease: Risk, mechanisms and therapy. Nature Reviews. Neurology. 2013;9(2):106-118'},{id:"B156",body:'Brett BL et al. Traumatic brain injury and risk of neurodegenerative disorder. Biological Psychiatry. 2021;91(5):498-507'},{id:"B157",body:'Gardner RC, Yaffe K. Epidemiology of mild traumatic brain injury and neurodegenerative disease. Molecular and Cellular Neuroscience. 2015;66:75-80'},{id:"B158",body:'Graham NS, Sharp DJ. Understanding neurodegeneration after traumatic brain injury: From mechanisms to clinical trials in dementia. Journal of Neurology, Neurosurgery & Psychiatry. 2019;90(11):1221-1233'},{id:"B159",body:'Johnson VE et al. Traumatic brain injury as a trigger of neurodegeneration. Neurodegenerative Diseases. 2017:383-400'},{id:"B160",body:'Lawrence DW et al. The role of apolipoprotein E episilon (ɛ)-4 allele on outcome following traumatic brain injury: A systematic review. Brain Injury. 2015;29(9):1018-1031'},{id:"B161",body:'Yang S-T et al. Accumulation of amyloid in cognitive impairment after mild traumatic brain injury. Journal of the Neurological Sciences. 2015;349(1-2):99-104'},{id:"B162",body:'Hayes JP et al. BDNF genotype is associated with hippocampal volume in mild traumatic brain injury. Genes, Brain, and Behavior. 2018;17(2):107-117'},{id:"B163",body:'Dretsch MN et al. Brain-derived neurotropic factor polymorphisms, traumatic stress, mild traumatic brain injury, and combat exposure contribute to postdeployment traumatic stress. Brain and Behavior. 2015;6(1):e00392-e00392'},{id:"B164",body:'Wang Y-J et al. The association between BDNF Val66Met polymorphism and emotional symptoms after mild traumatic brain injury. BMC Medical Genetics. 2018;19(1):1-7'},{id:"B165",body:'Narayanan V et al. Missense mutation of brain derived neurotrophic factor (BDNF) alters neurocognitive performance in patients with mild traumatic brain injury: A longitudinal study. PLoS One. 2016;11(7):e0158838'},{id:"B166",body:'Michopoulos V, Norrholm SD, Jovanovic T. Diagnostic biomarkers for posttraumatic stress disorder: Promising horizons from translational neuroscience research. Biological Psychiatry. 2015;78(5):344-353'},{id:"B167",body:'Dean KR et al. Multi-omic biomarker identification and validation for diagnosing warzone-related post-traumatic stress disorder. Molecular Psychiatry. 2020;25(12):3337-3349'},{id:"B168",body:'Huang M, Risling M, Baker DG. The role of biomarkers and MEG-based imaging markers in the diagnosis of post-traumatic stress disorder and blast-induced mild traumatic brain injury. Psychoneuroendocrinology. 2016;63:398-409'},{id:"B169",body:'Rangaprakash D et al. Compromised hippocampus-striatum pathway as a potential imaging biomarker of mild-traumatic brain injury and posttraumatic stress disorder. Human Brain Mapping. 2017;38(6):2843-2864'},{id:"B170",body:'Ray R. Prediction markets and the financial “Wisdom of Crowds”. The Journal of Behavioral Finance. 2006;7(1):2-4'}],footnotes:[],contributors:[{corresp:null,contributorFullName:"Jamie L. Scholl",address:null,affiliation:'
Center for Brain and Behavioral Research, USA
Basic Biomedical Sciences, Sanford School of Medicine, University of South Dakota, USA
'},{corresp:null,contributorFullName:"Eric T. Graack",address:null,affiliation:'
Center for Brain and Behavioral Research, USA
Basic Biomedical Sciences, Sanford School of Medicine, University of South Dakota, USA
'},{corresp:null,contributorFullName:"Michaela S. Ahrenholtz",address:null,affiliation:'
Center for Brain and Behavioral Research, USA
Department of Psychology, University of South Dakota, USA
'},{corresp:null,contributorFullName:"Taylor J. Bosch",address:null,affiliation:'
Center for Brain and Behavioral Research, USA
Basic Biomedical Sciences, Sanford School of Medicine, University of South Dakota, USA
'},{corresp:"yes",contributorFullName:"Lee A. Baugh",address:"lee.baugh@usd.edu",affiliation:'
Center for Brain and Behavioral Research, USA
Basic Biomedical Sciences, Sanford School of Medicine, University of South Dakota, USA
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The following four experimental designs were introduced: (1) subliminal rhythm shift with shortened interval, (2) subliminal rhythm shift with lengthened interval, (3) subliminal rhythm shift with random interval, and (4) differences in the rate of rhythm shift. We found that the periodic rhythmic stimulation is predicted to comprise some time duration. Furthermore, the reactive movements can be performed without delay under conditions with an interstimulus‐onset interval shift of 7% of 1500 ms. When the physical therapist facilitates rhythmical reactive periodic movement using an external event such as a handclap, it will be desirable to keep the rhythm shift within 7% of the interstimulus‐onset interval. The variabilities of the intertap interval in the continuation paradigm of sensorimotor synchronization are discussed in Section 3. The participants performed self‐paced, synchronization‐continuation, and syncopation‐continuation tapping tasks. We found that the accuracy of the periodic movement with an interstimulus‐onset interval of 1000 ms can be improved by using auditory pacing. However, the consistency of periodic movement is mainly dependent on innate skill; thus, improvement in consistency from pacing alone is unlikely.",signatures:"Masanori Ito, Yuki Takahashi, Satoshi Fujiwara and Naoki Kado",authors:[{id:"197850",title:"Dr.",name:"Masanori",surname:"Ito",fullName:"Masanori Ito",slug:"masanori-ito",email:"itou@sumire-academy.ac.jp"},{id:"198091",title:"Dr.",name:"Naoki",surname:"Kado",fullName:"Naoki Kado",slug:"naoki-kado",email:"kado@sumire-academy.ac.jp"},{id:"204588",title:"MSc.",name:"Yuki",surname:"Takahashi",fullName:"Yuki Takahashi",slug:"yuki-takahashi",email:"takahashi@sumire-academy.ac.jp"},{id:"204589",title:"MSc.",name:"Satoshi",surname:"Fujiwara",fullName:"Satoshi Fujiwara",slug:"satoshi-fujiwara",email:"fujiwara@sumire-academy.ac.jp"}],book:{id:"5782",title:"Clinical Physical Therapy",slug:"clinical-physical-therapy",productType:{id:"1",title:"Edited Volume"}}},{id:"54295",title:"Effects of Repetitive Finger Movements on the Short-Latency Somatosensory-Evoked Potentials",slug:"effects-of-repetitive-finger-movements-on-the-short-latency-somatosensory-evoked-potentials",abstract:"When performing a movement, many features of sensory information are used as inputs and integrated. Smooth movement is possible by selecting necessary information from all‐sensory inputs. The somatosensory input of movement is adjusted at different levels such as at the level of the spinal cord, brainstem, and sensory cortex. However, sensory tests used by physical therapists provide only the sensory information that is perceivable through the parietal association fields. On the other hand, there is a somatosensory‐evoked potentials (SEPs) in the tests of the somatic sensory function. An understanding of the SEPs enables the evaluation of the posterior track. Therefore, it is possible to determine if the adjustment of somatosensory inputs occurs at any stage. The SEP amplitude is decreased by passive and voluntary movement. Further, characteristic decrease in the SEP amplitude is noted with an increase in the speed and intensity of movement. Thus, it is important for us to understand the relationship between motor tasks and somatosensory inputs. In this chapter, we introduce our study on the relationship between physical movements and somatosensory inputs, and make recommendations for practicing physical therapy.",signatures:"Yoshinori Yamamoto and Naoki Kado",authors:[{id:"198091",title:"Dr.",name:"Naoki",surname:"Kado",fullName:"Naoki Kado",slug:"naoki-kado",email:"kado@sumire-academy.ac.jp"},{id:"198774",title:"Ms.",name:"Yoshinori",surname:"Yamamoto",fullName:"Yoshinori Yamamoto",slug:"yoshinori-yamamoto",email:"y.caluo@gmail.com"}],book:{id:"6249",title:"Neurological Physical Therapy",slug:"neurological-physical-therapy",productType:{id:"1",title:"Edited Volume"}}},{id:"54376",title:"Relationship Between Excitability of Spinal Motor Neurons in Remote Muscles and Voluntary Movements",slug:"relationship-between-excitability-of-spinal-motor-neurons-in-remote-muscles-and-voluntary-movements",abstract:"In physical therapy, it is important to understand the influence of the contraction of a particular muscle on other muscles. The mechanism of the facilitation effect of muscle contraction in healthy subjects has been analyzed in previous studies. These studies indicated that muscle contraction with voluntary movement enhances the excitability of spinal motor neurons and motor areas in the cerebral cortex that are not directly associated with the contracting muscle. Furthermore, it has been reported that the facilitation effects on remote muscles not related to movement are affected by the elapsed time since the start of the movement, the strength of muscle contraction, the number of muscle spindles, and the difficulty of the movement. In addition, the facilitation effects of difficult voluntary movements of the unilateral upper limbs on spinal motor neurons in the contralateral upper limb decrease with motor learning. We expect that these findings will be useful not only for physical therapy evaluation but also for patient treatment.",signatures:"Naoki Kado, Yuki Takahashi, Satoshi Fujiwara and Masanori Ito",authors:[{id:"197850",title:"Dr.",name:"Masanori",surname:"Ito",fullName:"Masanori Ito",slug:"masanori-ito",email:"itou@sumire-academy.ac.jp"},{id:"198091",title:"Dr.",name:"Naoki",surname:"Kado",fullName:"Naoki Kado",slug:"naoki-kado",email:"kado@sumire-academy.ac.jp"},{id:"204588",title:"MSc.",name:"Yuki",surname:"Takahashi",fullName:"Yuki Takahashi",slug:"yuki-takahashi",email:"takahashi@sumire-academy.ac.jp"},{id:"204589",title:"MSc.",name:"Satoshi",surname:"Fujiwara",fullName:"Satoshi Fujiwara",slug:"satoshi-fujiwara",email:"fujiwara@sumire-academy.ac.jp"}],book:{id:"6249",title:"Neurological Physical Therapy",slug:"neurological-physical-therapy",productType:{id:"1",title:"Edited Volume"}}},{id:"71398",title:"Excitability of Spinal Motor Neurons in the Upper Extremity during Voluntary Movement with Different Difficult Tasks in the Lower Extremity",slug:"excitability-of-spinal-motor-neurons-in-the-upper-extremity-during-voluntary-movement-with-different",abstract:"The purpose of this study was to examine the relationship between excitability of the spinal motor neurons in the upper extremity and difficulty of tasks applied to the lower extremities. Twenty healthy volunteers agreed to participate. Our findings suggest that the excitability of spinal motor neurons in the right arm was increased during voluntary movement of the lower extremities. Excitability of the spinal motor neurons might be increased by the facilitatory effect at the spinal and cortical levels. Regarding the facilitatory effects at the cortical level, the effects of difficult tasks might be larger than those of simple tasks, but the most difficult task might be affected by the facilitatory and inhibitory effects of the central nervous system.",signatures:"Naoki Kado",authors:[{id:"198091",title:"Dr.",name:"Naoki",surname:"Kado",fullName:"Naoki Kado",slug:"naoki-kado",email:"kado@sumire-academy.ac.jp"}],book:{id:"8751",title:"Somatosensory and Motor Research",slug:"somatosensory-and-motor-research",productType:{id:"1",title:"Edited Volume"}}}],collaborators:[{id:"139514",title:"Ph.D.",name:"Shinichiro",surname:"Morishita",slug:"shinichiro-morishita",fullName:"Shinichiro Morishita",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Niigata University of Health and Welfare",institutionURL:null,country:{name:"Japan"}}},{id:"186905",title:"Prof.",name:"Michel",surname:"Probst",slug:"michel-probst",fullName:"Michel Probst",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"KU Leuven",institutionURL:null,country:{name:"Belgium"}}},{id:"197850",title:"Dr.",name:"Masanori",surname:"Ito",slug:"masanori-ito",fullName:"Masanori Ito",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"197891",title:"M.Sc.",name:"Tomohito",surname:"Ijiri",slug:"tomohito-ijiri",fullName:"Tomohito Ijiri",position:"Director",profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"198294",title:"Prof.",name:"Caterina",surname:"Guiot",slug:"caterina-guiot",fullName:"Caterina Guiot",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Turin",institutionURL:null,country:{name:"Italy"}}},{id:"198295",title:"Dr.",name:"Elisa",surname:"Lioce",slug:"elisa-lioce",fullName:"Elisa Lioce",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"198296",title:"Dr.",name:"Matteo",surname:"Novello",slug:"matteo-novello",fullName:"Matteo Novello",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"202889",title:"Dr.",name:"Atsuhiro",surname:"Tsubaki",slug:"atsuhiro-tsubaki",fullName:"Atsuhiro Tsubaki",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"204588",title:"MSc.",name:"Yuki",surname:"Takahashi",slug:"yuki-takahashi",fullName:"Yuki Takahashi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"204589",title:"MSc.",name:"Satoshi",surname:"Fujiwara",slug:"satoshi-fujiwara",fullName:"Satoshi Fujiwara",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null}]},generic:{page:{slug:"open-access-funding-funders-list",title:"List of Funders by Country",intro:"
If your research is financed through any of the below-mentioned funders, please consult their Open Access policies or grant ‘terms and conditions’ to explore ways to cover your publication costs (also accessible by clicking on the link in their title).
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IMPORTANT: You must be a member or grantee of the listed funders in order to apply for their Open Access publication funds. Do not attempt to contact the funders if this is not the case.
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UK Research and Innovation (former Research Councils UK (RCUK) - including AHRC, BBSRC, ESRC, EPSRC, MRC, NERC, STFC.) Processing charges for books/book chapters can be covered through RCUK block grants which are allocated to most universities in the UK, which then handle the OA publication funding requests. It is at the discretion of the university whether it will approve the request.)
UK Research and Innovation (former Research Councils UK (RCUK) - including AHRC, BBSRC, ESRC, EPSRC, MRC, NERC, STFC.) Processing charges for books/book chapters can be covered through RCUK block grants which are allocated to most universities in the UK, which then handle the OA publication funding requests. It is at the discretion of the university whether it will approve the request.)
Wellcome Trust (Funding available only to Wellcome-funded researchers/grantees)
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His studies in robotics lead him not only to a PhD degree but also inspired him to co-found and build the International Journal of Advanced Robotic Systems - world's first Open Access journal in the field of robotics.",institutionString:null,institution:{name:"TU Wien",country:{name:"Austria"}}},{id:"441",title:"Ph.D.",name:"Jaekyu",middleName:null,surname:"Park",slug:"jaekyu-park",fullName:"Jaekyu Park",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/441/images/1881_n.jpg",biography:null,institutionString:null,institution:{name:"LG Corporation (South Korea)",country:{name:"Korea, South"}}},{id:"465",title:"Dr",name:"Christian",middleName:null,surname:"Martens",slug:"christian-martens",fullName:"Christian Martens",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"479",title:"Dr.",name:"Valentina",middleName:null,surname:"Colla",slug:"valentina-colla",fullName:"Valentina Colla",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/479/images/358_n.jpg",biography:null,institutionString:null,institution:{name:"Sant'Anna School of Advanced Studies",country:{name:"Italy"}}},{id:"494",title:"PhD",name:"Loris",middleName:null,surname:"Nanni",slug:"loris-nanni",fullName:"Loris Nanni",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/494/images/system/494.jpg",biography:"Loris Nanni received his Master Degree cum laude on June-2002 from the University of Bologna, and the April 26th 2006 he received his Ph.D. in Computer Engineering at DEIS, University of Bologna. On September, 29th 2006 he has won a post PhD fellowship from the university of Bologna (from October 2006 to October 2008), at the competitive examination he was ranked first in the industrial engineering area. He extensively served as referee for several international journals. He is author/coauthor of more than 100 research papers. He has been involved in some projects supported by MURST and European Community. His research interests include pattern recognition, bioinformatics, and biometric systems (fingerprint classification and recognition, signature verification, face recognition).",institutionString:null,institution:null},{id:"496",title:"Dr.",name:"Carlos",middleName:null,surname:"Leon",slug:"carlos-leon",fullName:"Carlos Leon",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Seville",country:{name:"Spain"}}},{id:"512",title:"Dr.",name:"Dayang",middleName:null,surname:"Jawawi",slug:"dayang-jawawi",fullName:"Dayang Jawawi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Technology Malaysia",country:{name:"Malaysia"}}},{id:"528",title:"Dr.",name:"Kresimir",middleName:null,surname:"Delac",slug:"kresimir-delac",fullName:"Kresimir Delac",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/528/images/system/528.jpg",biography:"K. Delac received his B.Sc.E.E. degree in 2003 and is currentlypursuing a Ph.D. degree at the University of Zagreb, Faculty of Electrical Engineering andComputing. His current research interests are digital image analysis, pattern recognition andbiometrics.",institutionString:null,institution:{name:"University of Zagreb",country:{name:"Croatia"}}},{id:"557",title:"Dr.",name:"Andon",middleName:"Venelinov",surname:"Topalov",slug:"andon-topalov",fullName:"Andon Topalov",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/557/images/1927_n.jpg",biography:"Dr. Andon V. Topalov received the MSc degree in Control Engineering from the Faculty of Information Systems, Technologies, and Automation at Moscow State University of Civil Engineering (MGGU) in 1979. He then received his PhD degree in Control Engineering from the Department of Automation and Remote Control at Moscow State Mining University (MGSU), Moscow, in 1984. From 1985 to 1986, he was a Research Fellow in the Research Institute for Electronic Equipment, ZZU AD, Plovdiv, Bulgaria. In 1986, he joined the Department of Control Systems, Technical University of Sofia at the Plovdiv campus, where he is presently a Full Professor. He has held long-term visiting Professor/Scholar positions at various institutions in South Korea, Turkey, Mexico, Greece, Belgium, UK, and Germany. And he has coauthored one book and authored or coauthored more than 80 research papers in conference proceedings and journals. His current research interests are in the fields of intelligent control and robotics.",institutionString:null,institution:{name:"Technical University of Sofia",country:{name:"Bulgaria"}}},{id:"585",title:"Prof.",name:"Munir",middleName:null,surname:"Merdan",slug:"munir-merdan",fullName:"Munir Merdan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/585/images/system/585.jpg",biography:"Munir Merdan received the M.Sc. degree in mechanical engineering from the Technical University of Sarajevo, Bosnia and Herzegovina, in 2001, and the Ph.D. degree in electrical engineering from the Vienna University of Technology, Vienna, Austria, in 2009.Since 2005, he has been at the Automation and Control Institute, Vienna University of Technology, where he is currently a Senior Researcher. His research interests include the application of agent technology for achieving agile control in the manufacturing environment.",institutionString:null,institution:null},{id:"605",title:"Prof",name:"Dil",middleName:null,surname:"Hussain",slug:"dil-hussain",fullName:"Dil Hussain",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/605/images/system/605.jpg",biography:"Dr. Dil Muhammad Akbar Hussain is a professor of Electronics Engineering & Computer Science at the Department of Energy Technology, Aalborg University Denmark. Professor Akbar has a Master degree in Digital Electronics from Govt. College University, Lahore Pakistan and a P-hD degree in Control Engineering from the School of Engineering and Applied Sciences, University of Sussex United Kingdom. Aalborg University has Two Satellite Campuses, one in Copenhagen (Aalborg University Copenhagen) and the other in Esbjerg (Aalborg University Esbjerg).\n· He is a member of prestigious IEEE (Institute of Electrical and Electronics Engineers), and IAENG (International Association of Engineers) organizations. \n· He is the chief Editor of the Journal of Software Engineering.\n· He is the member of the Editorial Board of International Journal of Computer Science and Software Technology (IJCSST) and International Journal of Computer Engineering and Information Technology. \n· He is also the Editor of Communication in Computer and Information Science CCIS-20 by Springer.\n· Reviewer For Many Conferences\nHe is the lead person in making collaboration agreements between Aalborg University and many universities of Pakistan, for which the MOU’s (Memorandum of Understanding) have been signed.\nProfessor Akbar is working in Academia since 1990, he started his career as a Lab demonstrator/TA at the University of Sussex. After finishing his P. hD degree in 1992, he served in the Industry as a Scientific Officer and continued his academic career as a visiting scholar for a number of educational institutions. In 1996 he joined National University of Science & Technology Pakistan (NUST) as an Associate Professor; NUST is one of the top few universities in Pakistan. In 1999 he joined an International Company Lineo Inc, Canada as Manager Compiler Group, where he headed the group for developing Compiler Tool Chain and Porting of Operating Systems for the BLACKfin processor. The processor development was a joint venture by Intel and Analog Devices. In 2002 Lineo Inc., was taken over by another company, so he joined Aalborg University Denmark as an Assistant Professor.\nProfessor Akbar has truly a multi-disciplined career and he continued his legacy and making progress in many areas of his interests both in teaching and research. 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The model parameters deciphered here are the amplitude coefficient (k), horizontal location (x0), depth of the body (z), and shape (q). Inversion of the model parameter suggests that constraining the horizontal location and the shape factor offers the most reliable results. Investigation of convergence rate, histogram, and cross-plot examination suggest that the interpretation method developed for the self-potential anomalies is stable and the model parameters are within the estimated ambiguity. Inversion of synthetic noise-free and noise-corrupted data for single structures and multiple structures in addition to real field information exhibits the viability of the method. The model parameters estimated by the present technique were in good agreement with the real parameters. The method has been used to invert two field examples (Sulleymonkoy anomaly, Ergani, Turkey, Senneterre area of Quebec, Canada) with application of subsurface mineralized bodies. 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In fact, under some specific conditions the NCMs could be used either as effective adsorbent material or alternative source of minerals. This chapter presents an outline of a general review of factors that affect the application ability of NCMs and a descriptive analysis of NH4+ and REE adsorption behavior and extraction of rare earth elements (REE) by an ion-exchange with NH4+ ions onto NCMs. Clays and NCMs both effectively remove various contaminants from aqueous solution and serve as alternative sources of minerals, as extensively discussed in this chapter. This review compiles thorough literature of current research and highlights the key findings of adsorption (NH4+ and REE) that use different NCMs as adsorbents or alternative sources of minerals (i.e., REE). The review confirmed that NCMs excellently remove different cations pollutants and have significant potential as alternative source of REE. However, modification and further development of NCMs applications for getting the best adsorption and the best extraction of REE onto NCMs, which would enhance pollution control and leaching system is still needed.",book:{id:"7315",slug:"minerals",title:"Minerals",fullTitle:"Minerals"},signatures:"Aref Alshameri, Xinghu Wei, Hailong Wang, Yang Fuguo, Xin Chen, Hongping He, Chunjie Yan and Feng Xu",authors:[{id:"172947",title:"Prof.",name:"Xin",middleName:null,surname:"Chen",slug:"xin-chen",fullName:"Xin Chen"},{id:"250327",title:"Dr.",name:"Aref",middleName:null,surname:"Alshameri",slug:"aref-alshameri",fullName:"Aref Alshameri"},{id:"306625",title:"Dr.",name:"Aref",middleName:null,surname:"Alshameri",slug:"aref-alshameri",fullName:"Aref Alshameri"},{id:"306656",title:"Prof.",name:"Fuguo",middleName:null,surname:"Yang",slug:"fuguo-yang",fullName:"Fuguo Yang"},{id:"306658",title:"Dr.",name:"Wei",middleName:null,surname:"Xinghu",slug:"wei-xinghu",fullName:"Wei Xinghu"},{id:"306660",title:"Prof.",name:"Wang",middleName:null,surname:"Hailong",slug:"wang-hailong",fullName:"Wang Hailong"},{id:"306664",title:"Prof.",name:"Yan",middleName:null,surname:"Chunjie",slug:"yan-chunjie",fullName:"Yan Chunjie"},{id:"306665",title:"Dr.",name:"Xu",middleName:null,surname:"Feng",slug:"xu-feng",fullName:"Xu Feng"},{id:"306671",title:"Prof.",name:"He",middleName:null,surname:"Hongping",slug:"he-hongping",fullName:"He Hongping"}]}],mostDownloadedChaptersLast30Days:[{id:"71052",title:"Enhanced Humidity Sensing Response in Eu3+-Doped Iron-Rich CuFe2O4: A Detailed Study of Structural, Microstructural, Sensing, and Dielectric Properties",slug:"enhanced-humidity-sensing-response-in-eu-sup-3-sup-doped-iron-rich-cufe-sub-2-sub-o-sub-4-sub-a-deta",totalDownloads:596,totalCrossrefCites:7,totalDimensionsCites:7,abstract:"The CuFe(2−x)EuxO4 (where x = 0.00, 0.01, 0.02, 0.03) nanoparticles are synthesized by solution combustion method. The influence of Eu3+ on the structural, morphological, dielectrical, and humidity sensing study is recorded. The XRD pattern peaks of the as-prepared CuFe(2−x)EuxO4 (where x = 0.00, 0.01, 0.02, 0.03) nanoparticle confirm the polycrystalline spinel cubic structure with a small amount of CuO impurity phase at 38.87° and 48.96°. Surface morphology of the samples was studied by scanning electron microscope (SEM) images of the nanoparticles, and their respective average grain size was estimated using Image software. Chemical composition of all prepared samples was analyzed by EDS spectra. The dielectric parameters of AC conductivity, electric modulus, and impedance of the samples were measured over a range of frequencies from 0.1 KHz to 1 MHz at room temperature. Europium-doped copper ferrite samples showed good humidity sensing response, response and recover times, and stability over a %RH range of 11–91%. These types of samples are very useful for sensor application, battery applications, electronic applications, and automotive applications.",book:{id:"9247",slug:"mineralogy-significance-and-applications",title:"Mineralogy",fullTitle:"Mineralogy - Significance and Applications"},signatures:"I.C. Sathisha, K. Manjunatha, V. Jagadeesha Angadi, B. Chethan, Y.T. Ravikiran, Vinayaka K. Pattar, S.O. Manjunatha and Shidaling Matteppanavar",authors:[{id:"266255",title:"Dr.",name:"Veerabhadrappa",middleName:null,surname:"Jagadeesha Angadi",slug:"veerabhadrappa-jagadeesha-angadi",fullName:"Veerabhadrappa Jagadeesha Angadi"},{id:"321561",title:"Dr.",name:"I.C.",middleName:null,surname:"Sathisha",slug:"i.c.-sathisha",fullName:"I.C. Sathisha"},{id:"321562",title:"Dr.",name:"K.",middleName:null,surname:"Manjunatha",slug:"k.-manjunatha",fullName:"K. Manjunatha"},{id:"321564",title:"Dr.",name:"B.",middleName:null,surname:"Chethan",slug:"b.-chethan",fullName:"B. Chethan"},{id:"321565",title:"Dr.",name:"Y.T.",middleName:null,surname:"Ravikiran",slug:"y.t.-ravikiran",fullName:"Y.T. Ravikiran"},{id:"321566",title:"Dr.",name:"Vinayaka K.",middleName:null,surname:"Pattar",slug:"vinayaka-k.-pattar",fullName:"Vinayaka K. Pattar"},{id:"321567",title:"Dr.",name:"S.O.",middleName:null,surname:"Manjunatha",slug:"s.o.-manjunatha",fullName:"S.O. Manjunatha"},{id:"321568",title:"Dr.",name:"Shidaling",middleName:null,surname:"Matteppanavar",slug:"shidaling-matteppanavar",fullName:"Shidaling Matteppanavar"}]},{id:"65826",title:"Introductory Chapter: Mineral Exploration from the Point of View of Geophysicists",slug:"introductory-chapter-mineral-exploration-from-the-point-of-view-of-geophysicists",totalDownloads:1635,totalCrossrefCites:3,totalDimensionsCites:3,abstract:null,book:{id:"7315",slug:"minerals",title:"Minerals",fullTitle:"Minerals"},signatures:"Khalid S. Essa and Marc Munschy",authors:[{id:"102766",title:"Prof.",name:"Khalid S.",middleName:null,surname:"Essa",slug:"khalid-s.-essa",fullName:"Khalid S. Essa"},{id:"292929",title:"Prof.",name:"Marc",middleName:null,surname:"Munschy",slug:"marc-munschy",fullName:"Marc Munschy"}]},{id:"69811",title:"Chemical Synthesis and Characterization of Luminescent Iron Oxide Nanoparticles and Their Biomedical Applications",slug:"chemical-synthesis-and-characterization-of-luminescent-iron-oxide-nanoparticles-and-their-biomedical",totalDownloads:564,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"The syntheses and characterizations of biocompatible luminescent magnetic iron oxide nanoparticles has drawn particular attention as diagnostic and drug delivery tools for treatment of cancer and many other diseases. This chapter focuses on the chemical synthetic methods, magnetic and luminescent properties, including the biomedical applications of iron oxide nanomaterials and luminescent magnetic iron oxide-based nanocomposite materials. The influences of functionalizing with short ligands such as dopamine and L-cysteine on the magnetic properties of synthesized nanoparticles are described. The chapter contains some data on necessary reagents and protocols for bioconjugation aimed at cell culture and step by step the MTT assays used to evaluate cytotoxicity are also presented. In the final section of the chapter, we focus on the biomedical applications specifically for diagnosis and treatment of breast cancer treatment. This chapter also investigates the application of various characterization techniques for analysis of the structural, optical and magnetic properties of the iron oxide nanoparticles and as their nanocomposites.",book:{id:"9247",slug:"mineralogy-significance-and-applications",title:"Mineralogy",fullTitle:"Mineralogy - Significance and Applications"},signatures:"Martin Onani, Leandre Brandt and Zuraan Paulsen",authors:[{id:"258023",title:"Dr.",name:"Martin",middleName:null,surname:"Onani",slug:"martin-onani",fullName:"Martin Onani"},{id:"302723",title:"Dr.",name:"Leandré Bianca",middleName:null,surname:"Brandt",slug:"leandre-bianca-brandt",fullName:"Leandré Bianca Brandt"},{id:"302725",title:"MSc.",name:"Zuraan",middleName:null,surname:"Paulsen",slug:"zuraan-paulsen",fullName:"Zuraan Paulsen"}]},{id:"27429",title:"An Introduction to Mineralogy",slug:"an-introduction-to-mineralogy",totalDownloads:6621,totalCrossrefCites:0,totalDimensionsCites:0,abstract:null,book:{id:"1600",slug:"an-introduction-to-the-study-of-mineralogy",title:"An Introduction to the Study of Mineralogy",fullTitle:"An Introduction to the Study of Mineralogy"},signatures:"Cumhur Aydinalp",authors:[{id:"98959",title:"Prof.",name:"Cumhur",middleName:"---",surname:"Aydinalp",slug:"cumhur-aydinalp",fullName:"Cumhur Aydinalp"}]},{id:"27435",title:"A Review of Pathological Biomineral Analysis Techniques and Classification Schemes",slug:"a-review-of-pathological-biomineral-analysis-techniques-and-classification-schemes",totalDownloads:4303,totalCrossrefCites:1,totalDimensionsCites:6,abstract:null,book:{id:"1600",slug:"an-introduction-to-the-study-of-mineralogy",title:"An Introduction to the Study of Mineralogy",fullTitle:"An Introduction to the Study of Mineralogy"},signatures:"Maria Luigia Giannossi and Vito Summa",authors:[{id:"101919",title:"PhD.",name:"Maria Luigia",middleName:null,surname:"Giannossi",slug:"maria-luigia-giannossi",fullName:"Maria Luigia Giannossi"},{id:"108348",title:"Dr.",name:"Vito",middleName:null,surname:"Summa",slug:"vito-summa",fullName:"Vito Summa"}]}],onlineFirstChaptersFilter:{topicId:"651",limit:6,offset:0},onlineFirstChaptersCollection:[{id:"81626",title:"Use of Natural Safiot Clay for the Removal of Chemical Substances from Aqueous Solutions by Adsorption: A Combined Experimental and Theoretical Study",slug:"use-of-natural-safiot-clay-for-the-removal-of-chemical-substances-from-aqueous-solutions-by-adsorpti",totalDownloads:24,totalDimensionsCites:0,doi:"10.5772/intechopen.101605",abstract:"The main objective of this work was to investigate the potential of Natural Safiot Clay (NSC), as an adsorbent for the removal of two cationic dyes such as Basic Blue 9 (BB9) and Basic Yellow 28 (BY28) from single and binary systems in aqueous solutions. For this, the effects of three factors controlling the adsorption process, such as initial dye concentration, adsorbent dose, and initial pH on the adsorption extent, were investigated and examined. The natural safiot clay was characterized using the following technique: energy-dispersive X-ray spectroscopy (EDX), scanning electron microscopy (SEM), DRX, and Fourier transform infrared (FT-IR) and pH of the point of zero charge (pHZPC). Energy-dispersive X-ray spectroscopy results indicate high percentages of Silica and Alumina. FT-IR spectrum identified kaolinite as the major mineral phase in the presence of quartz, calcite, and dolomite. The quantum theoretical study confirms the experimental results, through the study of the global and local reactivity and the electrophilicity power of the dyes. The electrophilicity power of dyes affects the removal efficiency. The theoretical study proves that BB9 (ω = 6.178) is more electrophilic than BY28 (ω = 2.480) and more interactions with surface sites. The results of the molecular dynamics simulation indicate that the dyes are adsorbed parallel to the surface of natural Safi clay (kaolinite), implying the strong interaction with the kaolinite atoms. All the results of quantum chemistry calculations and simulations of molecular dynamics are in perfect agreement with the results of the experimental study.",book:{id:"11137",title:"Mineralogy",coverURL:"https://cdn.intechopen.com/books/images_new/11137.jpg"},signatures:"Aziz El Kassimi, Mohammadine El Haddad, Rachid Laamari, Mamoune El Himri, Youness Achour and Hicham Yazid"},{id:"80866",title:"Normative Mineralogy Especially for Shales, Slates, and Phyllites",slug:"normative-mineralogy-especially-for-shales-slates-and-phyllites",totalDownloads:44,totalDimensionsCites:0,doi:"10.5772/intechopen.102346",abstract:"First, an insight into normative mineralogy and the most important methods for calculating the standard or norm minerals, such as the CIPW norm, is given. This is followed by a more detailed explanation of “slatenorm” and “slatecalculation” for low and very low metamorphic rocks, such as phyllites, slates, and shales. They are particularly suitable for fine-grained rocks where the mineral content is difficult to determine. They enable the determination of a virtual mineral inventory from full chemical analysis, including the values of carbon dioxide (CO2), carbon (C), and sulfur (S). The determined norm or standard minerals include the minerals—feldspars, carbonates, micas, hydro-micas, chlorites, ore minerals, and quartz. The advantages of slatenorm and slatecalculation compared to other methods for calculating normal minerals of sedimentary rocks are discussed.",book:{id:"11137",title:"Mineralogy",coverURL:"https://cdn.intechopen.com/books/images_new/11137.jpg"},signatures:"Hans Wolfgang Wagner"},{id:"80770",title:"Mg-Ilmenite from Kimberlites, Its Origin",slug:"mg-ilmenite-from-kimberlites-its-origin",totalDownloads:57,totalDimensionsCites:0,doi:"10.5772/intechopen.102676",abstract:"The main regularities of the saturation of kimberlite rocks with the accessory mineral Mg-ilmenite (Ilm), the peculiarities of the distribution of Ilm compositions in individual pipes, in different clusters of pipes, in diamondiferous kimberlite fields, are considered as the example of studies carried out within the Yakutian kimberlite province (Siberian Craton). Interpretation of different crystallization trends in MgO-Cr2O3 coordinates (conventionally named “Haggerty’s parabola”, “Steplike”, “Hockey stick”, as well as the peculiarities of heterogeneity of individual zonal and polygranular Ilm macrocrysts made it possible to propose a three-stage model of crystallization Ilm: (1) Mg-Cr poor ilmenite crystallizing from a primitive asthenospheric melt; (2) Continuing crystallization in the lithospheric contaminated melt by MgO and Cr2O3; (3) Ilmenite subsequently underwent sub-solidus recrystallization in the presence of an evolved kimberlite melt under increasing oxygen fugacity (ƒO2) conditions.",book:{id:"11137",title:"Mineralogy",coverURL:"https://cdn.intechopen.com/books/images_new/11137.jpg"},signatures:"Sergey I. Kostrovitsky"},{id:"80553",title:"Investigation of Accessory Minerals from the Blatná Granodiorite Suite, Bohemian Massif, Czech Republic",slug:"investigation-of-accessory-minerals-from-the-blatn-granodiorite-suite-bohemian-massif-czech-republic",totalDownloads:48,totalDimensionsCites:0,doi:"10.5772/intechopen.102628",abstract:"The Central Bohemian magmatic complex belongs to the Central European Variscan belt. The granitic rocks of this plutonic complex are formed by several suites of granites, granodiorites, and tonalites, together with small bodies of gabbros, gabbro diorites, and diorites. The granodiorites of the Blatná suite are high-K, calc-alkaline to shoshonitic, and metaluminous to slightly peraluminous granitic rocks. Compared to the common I-type granites, granodiorites of the Blatná suite are enriched in Mg (1.0–3.4 wt.% MgO), Ba (838–2560 ppm), Sr. (257–506 ppm), and Zr (81–236 ppm). For granodiorites of the Blatná suite is assemblage of apatite, zircon, titanite, and allanite significant. Zircon contains low Hf concentrations (1.1–1.7 wt.% HfO2). The composition of titanite ranges from 83 to 92 mol.% titanite end-member. Allanite is relatively Al-poor and displays Feox. ratio 0.2–0.5.",book:{id:"11137",title:"Mineralogy",coverURL:"https://cdn.intechopen.com/books/images_new/11137.jpg"},signatures:"Miloš René"},{id:"80423",title:"Minerals as Prebiotic Catalysts for Chemical Evolution towards the Origin of Life",slug:"minerals-as-prebiotic-catalysts-for-chemical-evolution-towards-the-origin-of-life",totalDownloads:106,totalDimensionsCites:0,doi:"10.5772/intechopen.102389",abstract:"A transition from geochemistry to biochemistry has been considered as a necessary step towards the emergence of primordial life. Nevertheless, how did this transition occur is still elusive. The chemistry underlying this transition is likely not a single event, but involves many levels of creation and reconstruction, finally reaching the molecular, structural, and functional buildup of complexity. Among them, one apparent question is: how the biochemical catalytic system emerged from the mineral-based geochemical system? Inspired by the metal–ligand structures in metalloenzymes, many researchers have proposed that transition metal sulfide minerals could have served as structural analogs of metalloenzymes for catalyzing prebiotic redox conversions. This assumption has been tested and verified to some extent by several studies, which focused on using Earth-abundant transition metal sulfides as catalysts for multi-electron C and N conversions. The progress in this field will be introduced, with a focus on the CO2 fixation and ammonia synthesis from nitrate/nitrite reduction and N2 reduction. Recently developed methods for screening effective mineral catalysts were also reviewed.",book:{id:"11137",title:"Mineralogy",coverURL:"https://cdn.intechopen.com/books/images_new/11137.jpg"},signatures:"Yamei Li"},{id:"80338",title:"Ionic Conductivity of Strontium Fluoroapatites Co-doped with Lanthanides",slug:"ionic-conductivity-of-strontium-fluoroapatites-co-doped-with-lanthanides",totalDownloads:54,totalDimensionsCites:0,doi:"10.5772/intechopen.102410",abstract:"Britholites derivatives of apatite’s that contain lanthanium and neodymium in the serial compounds Sr8La2−xNdx(PO4)4(SiO4)2F2 with 0 ≤ x ≤ 2 were subject of the present investigation. The solid state reaction was the route of preparing these materials. Several techniques were employed for the analysis and characterization of the synthesized powders. The chemical analysis results indicated that molar ratio Sr+La+NdP+Si was of about 1.67 value of a stoichiometric powder. The X-ray diffraction data showed single-phase apatites crystallizing in hexagonal structure with P63/m space group were successively obtained. Moreover, the substitution of lanthanium by neodymium in strontium phosphosilicated fluorapatite was total. This was confirmed by the a and c lattice parameters contraction when (x) varies coherently to the sizes of the two cations. The infrared spectroscopy and the 31P NMR (MAS) exhibited the characteristic bands of phosphosilicated fluorapatite. The pressureless sintering of the material achieved a maximum of 89% relative density. The sintered specimens indicated that the Nd content as well as the heating temperature affected the ionic conduction of the materials and the maximum was 1.73 × 10−6 S cm−1 obtained at 1052 K for x = 2.",book:{id:"11137",title:"Mineralogy",coverURL:"https://cdn.intechopen.com/books/images_new/11137.jpg"},signatures:"Khouloud Kthiri, Mohammed Mehnaoui, Samira Jebahi, Khaled Boughzala and Mustapha Hidouri"}],onlineFirstChaptersTotal:10},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:89,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:104,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:32,numberOfPublishedChapters:318,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:12,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:141,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:113,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:106,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:5,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:15,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}},{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}}]},series:{item:{id:"11",title:"Biochemistry",doi:"10.5772/intechopen.72877",issn:"2632-0983",scope:"Biochemistry, the study of chemical transformations occurring within living organisms, impacts all areas of life sciences, from molecular crystallography and genetics to ecology, medicine, and population biology. Biochemistry examines macromolecules - proteins, nucleic acids, carbohydrates, and lipids – and their building blocks, structures, functions, and interactions. Much of biochemistry is devoted to enzymes, proteins that catalyze chemical reactions, enzyme structures, mechanisms of action and their roles within cells. Biochemistry also studies small signaling molecules, coenzymes, inhibitors, vitamins, and hormones, which play roles in life processes. Biochemical experimentation, besides coopting classical chemistry methods, e.g., chromatography, adopted new techniques, e.g., X-ray diffraction, electron microscopy, NMR, radioisotopes, and developed sophisticated microbial genetic tools, e.g., auxotroph mutants and their revertants, fermentation, etc. More recently, biochemistry embraced the ‘big data’ omics systems. Initial biochemical studies have been exclusively analytic: dissecting, purifying, and examining individual components of a biological system; in the apt words of Efraim Racker (1913 –1991), “Don’t waste clean thinking on dirty enzymes.” Today, however, biochemistry is becoming more agglomerative and comprehensive, setting out to integrate and describe entirely particular biological systems. The ‘big data’ metabolomics can define the complement of small molecules, e.g., in a soil or biofilm sample; proteomics can distinguish all the comprising proteins, e.g., serum; metagenomics can identify all the genes in a complex environment, e.g., the bovine rumen. This Biochemistry Series will address the current research on biomolecules and the emerging trends with great promise.",coverUrl:"https://cdn.intechopen.com/series/covers/11.jpg",latestPublicationDate:"June 29th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:32,editor:{id:"31610",title:"Dr.",name:"Miroslav",middleName:null,surname:"Blumenberg",slug:"miroslav-blumenberg",fullName:"Miroslav Blumenberg",profilePictureURL:"https://mts.intechopen.com/storage/users/31610/images/system/31610.jpg",biography:"Miroslav Blumenberg, Ph.D., was born in Subotica and received his BSc in Belgrade, Yugoslavia. He completed his Ph.D. at MIT in Organic Chemistry; he followed up his Ph.D. with two postdoctoral study periods at Stanford University. Since 1983, he has been a faculty member of the RO Perelman Department of Dermatology, NYU School of Medicine, where he is codirector of a training grant in cutaneous biology. Dr. Blumenberg’s research is focused on the epidermis, expression of keratin genes, transcription profiling, keratinocyte differentiation, inflammatory diseases and cancers, and most recently the effects of the microbiome on the skin. He has published more than 100 peer-reviewed research articles and graduated numerous Ph.D. and postdoctoral students.",institutionString:null,institution:{name:"New York University Langone Medical Center",institutionURL:null,country:{name:"United States of America"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:4,paginationItems:[{id:"14",title:"Cell and Molecular Biology",coverUrl:"https://cdn.intechopen.com/series_topics/covers/14.jpg",isOpenForSubmission:!0,editor:{id:"165627",title:"Dr.",name:"Rosa María",middleName:null,surname:"Martínez-Espinosa",slug:"rosa-maria-martinez-espinosa",fullName:"Rosa María Martínez-Espinosa",profilePictureURL:"https://mts.intechopen.com/storage/users/165627/images/system/165627.jpeg",biography:"Dr. Rosa María Martínez-Espinosa has been a Spanish Full Professor since 2020 (Biochemistry and Molecular Biology) and is currently Vice-President of International Relations and Cooperation development and leader of the research group 'Applied Biochemistry” (University of Alicante, Spain). Other positions she has held at the university include Vice-Dean of Master Programs, Vice-Dean of the Degree in Biology and Vice-Dean for Mobility and Enterprise and Engagement at the Faculty of Science (University of Alicante). She received her Bachelor in Biology in 1998 (University of Alicante) and her PhD in 2003 (Biochemistry, University of Alicante). She undertook post-doctoral research at the University of East Anglia (Norwich, U.K. 2004-2005; 2007-2008).\nHer multidisciplinary research focuses on investigating archaea and their potential applications in biotechnology. She has an H-index of 21. She has authored one patent and has published more than 70 indexed papers and around 60 book chapters.\nShe has contributed to more than 150 national and international meetings during the last 15 years. Her research interests include archaea metabolism, enzymes purification and characterization, gene regulation, carotenoids and bioplastics production, antioxidant\ncompounds, waste water treatments, and brines bioremediation.\nRosa María’s other roles include editorial board member for several journals related\nto biochemistry, reviewer for more than 60 journals (biochemistry, molecular biology, biotechnology, chemistry and microbiology) and president of several organizing committees in international meetings related to the N-cycle or respiratory processes.",institutionString:null,institution:{name:"University of Alicante",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"15",title:"Chemical Biology",coverUrl:"https://cdn.intechopen.com/series_topics/covers/15.jpg",isOpenForSubmission:!0,editor:{id:"441442",title:"Dr.",name:"Şükrü",middleName:null,surname:"Beydemir",slug:"sukru-beydemir",fullName:"Şükrü Beydemir",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003GsUoIQAV/Profile_Picture_1634557147521",biography:"Dr. Şükrü Beydemir obtained a BSc in Chemistry in 1995 from Yüzüncü Yıl University, MSc in Biochemistry in 1998, and PhD in Biochemistry in 2002 from Atatürk University, Turkey. He performed post-doctoral studies at Max-Planck Institute, Germany, and University of Florence, Italy in addition to making several scientific visits abroad. He currently works as a Full Professor of Biochemistry in the Faculty of Pharmacy, Anadolu University, Turkey. Dr. Beydemir has published over a hundred scientific papers spanning protein biochemistry, enzymology and medicinal chemistry, reviews, book chapters and presented several conferences to scientists worldwide. He has received numerous publication awards from various international scientific councils. He serves in the Editorial Board of several international journals. 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He is a member of the Turkish Biochemical Society, American Chemical Society, and German Genetics society. Dr. Ekinci published around ninety scientific papers, reviews and book chapters, and presented several conferences to scientists. He has received numerous publication awards from several scientific councils. 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He worked on the structure-function relationships of glycoconjugates and his main project was the investigations on the biological roles of the de-N-glycosylation enzymes (Endo-N-acetyl-β-D-glucosaminidase and peptide-N4-(N-acetyl-β-glucosaminyl) asparagine amidase). From 2002 he contributes to the understanding of the Blood-brain barrier functioning using proteomics approaches. He has published more than 70 papers. 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Since then, he has been working as an Adjunct Professor in the same Department at the University of Pavia. His research activity during the first years was primarily focused on the purification and structural characterization of enzymes from animal and plant sources. During this period, Prof. Iadarola familiarized himself with the conventional techniques used in column chromatography, spectrophotometry, manual Edman degradation, and electrophoresis). Since 1995, he has been working on: i) the determination in biological fluids (serum, urine, bronchoalveolar lavage, sputum) of proteolytic activities involved in the degradation processes of connective tissue matrix, and ii) on the identification of biological markers of lung diseases. In this context, he has developed and validated new methodologies (e.g., Capillary Electrophoresis coupled to Laser-Induced Fluorescence, CE-LIF) whose application enabled him to determine both the amounts of biochemical markers (Desmosines) in urine/serum of patients affected by Chronic Obstructive Pulmonary Disease (COPD) and the activity of proteolytic enzymes (Human Neutrophil Elastase, Cathepsin G, Pseudomonas aeruginosa elastase) in sputa of these patients. More recently, Prof. Iadarola was involved in developing techniques such as two-dimensional electrophoresis coupled to liquid chromatography/mass spectrometry (2DE-LC/MS) for the proteomic analysis of biological fluids aimed at the identification of potential biomarkers of different lung diseases. He is the author of about 150 publications (According to Scopus: H-Index: 23; Total citations: 1568- According to WOS: H-Index: 20; Total Citations: 1296) of peer-reviewed international journals. 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She gained considerable experience in developing and validating new methodologies whose applications allowed her to determine both the amount of biomarkers (Desmosine and Isodesmosine) in the urine of patients affected by COPD, and the activity of proteolytic enzymes (HNE, Cathepsin G, Pseudomonas aeruginosa elastase) in the sputa of these patients. Simona Viglio was also involved in research dealing with the supplementation of amino acids in patients with brain injury and chronic heart failure. She is presently engaged in the development of 2-DE and LC-MS techniques for the study of proteomics in biological fluids. The aim of this research is the identification of potential biomarkers of lung diseases. 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He also obtained an MSc in Molecular and Genetic Medicine, and a Ph.D. in Clinical Immunology and Human Genetics from the University of Sheffield, UK. He also completed a short-term fellowship in Pediatric Clinical Immunology and Bone Marrow Transplantation at Newcastle General Hospital, England. Dr. Rezaei is a Full Professor of Immunology and Vice Dean of International Affairs and Research, at the School of Medicine, Tehran University of Medical Sciences, and the co-founder and head of the Research Center for Immunodeficiencies. He is also the founding president of the Universal Scientific Education and Research Network (USERN). Dr. Rezaei has directed more than 100 research projects and has designed and participated in several international collaborative projects. He is an editor, editorial assistant, or editorial board member of more than forty international journals. He has edited more than 50 international books, presented more than 500 lectures/posters in congresses/meetings, and published more than 1,100 scientific papers in international journals.",institutionString:"Tehran University of Medical Sciences",institution:{name:"Tehran University of Medical Sciences",country:{name:"Iran"}}},{id:"180733",title:"Dr.",name:"Jean",middleName:null,surname:"Engohang-Ndong",slug:"jean-engohang-ndong",fullName:"Jean Engohang-Ndong",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/180733/images/system/180733.png",biography:"Dr. Jean Engohang-Ndong was born and raised in Gabon. After obtaining his Associate Degree of Science at the University of Science and Technology of Masuku, Gabon, he continued his education in France where he obtained his BS, MS, and Ph.D. in Medical Microbiology. He worked as a post-doctoral fellow at the Public Health Research Institute (PHRI), Newark, NJ for four years before accepting a three-year faculty position at Brigham Young University-Hawaii. Dr. Engohang-Ndong is a tenured faculty member with the academic rank of Full Professor at Kent State University, Ohio, where he teaches a wide range of biological science courses and pursues his research in medical and environmental microbiology. Recently, he expanded his research interest to epidemiology and biostatistics of chronic diseases in Gabon.",institutionString:"Kent State University",institution:{name:"Kent State University",country:{name:"United States of America"}}},{id:"188773",title:"Prof.",name:"Emmanuel",middleName:null,surname:"Drouet",slug:"emmanuel-drouet",fullName:"Emmanuel Drouet",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/188773/images/system/188773.png",biography:"Emmanuel Drouet, PharmD, is a Professor of Virology at the Faculty of Pharmacy, the University Grenoble-Alpes, France. As a head scientist at the Institute of Structural Biology in Grenoble, Dr. Drouet’s research investigates persisting viruses in humans (RNA and DNA viruses) and the balance with our host immune system. He focuses on these viruses’ effects on humans (both their impact on pathology and their symbiotic relationships in humans). He has an excellent track record in the herpesvirus field, and his group is engaged in clinical research in the field of Epstein-Barr virus diseases. He is the editor of the online Encyclopedia of Environment and he coordinates the Universal Health Coverage education program for the BioHealth Computing Schools of the European Institute of Science.",institutionString:null,institution:{name:"Grenoble Alpes University",country:{name:"France"}}},{id:"131400",title:"Prof.",name:"Alfonso J.",middleName:null,surname:"Rodriguez-Morales",slug:"alfonso-j.-rodriguez-morales",fullName:"Alfonso J. Rodriguez-Morales",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/131400/images/system/131400.png",biography:"Dr. Rodriguez-Morales is an expert in tropical and emerging diseases, particularly zoonotic and vector-borne diseases (especially arboviral diseases). He is the president of the Travel Medicine Committee of the Pan-American Infectious Diseases Association (API), as well as the president of the Colombian Association of Infectious Diseases (ACIN). He is a member of the Committee on Tropical Medicine, Zoonoses, and Travel Medicine of ACIN. He is a vice-president of the Latin American Society for Travel Medicine (SLAMVI) and a Member of the Council of the International Society for Infectious Diseases (ISID). Since 2014, he has been recognized as a Senior Researcher, at the Ministry of Science of Colombia. He is a professor at the Faculty of Medicine of the Fundacion Universitaria Autonoma de las Americas, in Pereira, Risaralda, Colombia. He is an External Professor, Master in Research on Tropical Medicine and International Health, Universitat de Barcelona, Spain. He is also a professor at the Master in Clinical Epidemiology and Biostatistics, Universidad Científica del Sur, Lima, Peru. In 2021 he has been awarded the “Raul Isturiz Award” Medal of the API. Also, in 2021, he was awarded with the “Jose Felix Patiño” Asclepius Staff Medal of the Colombian Medical College, due to his scientific contributions to COVID-19 during the pandemic. He is currently the Editor in Chief of the journal Travel Medicine and Infectious Diseases. His Scopus H index is 47 (Google Scholar H index, 68).",institutionString:"Institución Universitaria Visión de las Américas, Colombia",institution:null},{id:"332819",title:"Dr.",name:"Chukwudi Michael",middleName:"Michael",surname:"Egbuche",slug:"chukwudi-michael-egbuche",fullName:"Chukwudi Michael Egbuche",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/332819/images/14624_n.jpg",biography:"I an Dr. Chukwudi Michael Egbuche. I am a Senior Lecturer in the Department of Parasitology and Entomology, Nnamdi Azikiwe University, Awka.",institutionString:null,institution:{name:"Nnamdi Azikiwe University",country:{name:"Nigeria"}}},{id:"284232",title:"Mr.",name:"Nikunj",middleName:"U",surname:"Tandel",slug:"nikunj-tandel",fullName:"Nikunj Tandel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/284232/images/8275_n.jpg",biography:'Mr. Nikunj Tandel has completed his Master\'s degree in Biotechnology from VIT University, India in the year of 2012. He is having 8 years of research experience especially in the field of malaria epidemiology, immunology, and nanoparticle-based drug delivery system against the infectious diseases, autoimmune disorders and cancer. He has worked for the NIH funded-International Center of Excellence in Malaria Research project "Center for the study of complex malaria in India (CSCMi)" in collaboration with New York University. The preliminary objectives of the study are to understand and develop the evidence-based tools and interventions for the control and prevention of malaria in different sites of the INDIA. Alongside, with the help of next-generation genomics study, the team has studied the antimalarial drug resistance in India. Further, he has extended his research in the development of Humanized mice for the study of liver-stage malaria and identification of molecular marker(s) for the Artemisinin resistance. At present, his research focuses on understanding the role of B cells in the activation of CD8+ T cells in malaria. Received the CSIR-SRF (Senior Research Fellow) award-2018, FIMSA (Federation of Immunological Societies of Asia-Oceania) Travel Bursary award to attend the IUIS-IIS-FIMSA Immunology course-2019',institutionString:"Nirma University",institution:{name:"Nirma University",country:{name:"India"}}},{id:"334383",title:"Ph.D.",name:"Simone",middleName:"Ulrich",surname:"Ulrich Picoli",slug:"simone-ulrich-picoli",fullName:"Simone Ulrich Picoli",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/334383/images/15919_n.jpg",biography:"Graduated in Pharmacy from Universidade Luterana do Brasil (1999), Master in Agricultural and Environmental Microbiology from Federal University of Rio Grande do Sul (2002), Specialization in Clinical Microbiology from Universidade de São Paulo, USP (2007) and PhD in Sciences in Gastroenterology and Hepatology (2012). She is currently an Adjunct Professor at Feevale University in Medicine and Biomedicine courses and a permanent professor of the Academic Master\\'s Degree in Virology. She has experience in the field of Microbiology, with an emphasis on Bacteriology, working mainly on the following topics: bacteriophages, bacterial resistance, clinical microbiology and food microbiology.",institutionString:null,institution:{name:"Universidade Feevale",country:{name:"Brazil"}}},{id:"229220",title:"Dr.",name:"Amjad",middleName:"Islam",surname:"Aqib",slug:"amjad-aqib",fullName:"Amjad Aqib",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/229220/images/system/229220.png",biography:"Dr. Amjad Islam Aqib obtained a DVM and MSc (Hons) from University of Agriculture Faisalabad (UAF), Pakistan, and a PhD from the University of Veterinary and Animal Sciences Lahore, Pakistan. Dr. Aqib joined the Department of Clinical Medicine and Surgery at UAF for one year as an assistant professor where he developed a research laboratory designated for pathogenic bacteria. Since 2018, he has been Assistant Professor/Officer in-charge, Department of Medicine, Manager Research Operations and Development-ORIC, and President One Health Club at Cholistan University of Veterinary and Animal Sciences, Bahawalpur, Pakistan. He has nearly 100 publications to his credit. His research interests include epidemiological patterns and molecular analysis of antimicrobial resistance and modulation and vaccine development against animal pathogens of public health concern.",institutionString:"Cholistan University of Veterinary and Animal Sciences",institution:null},{id:"62900",title:"Prof.",name:"Fethi",middleName:null,surname:"Derbel",slug:"fethi-derbel",fullName:"Fethi Derbel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/62900/images/system/62900.jpeg",biography:"Professor Fethi Derbel was born in 1960 in Tunisia. He received his medical degree from the Sousse Faculty of Medicine at Sousse, University of Sousse, Tunisia. He completed his surgical residency in General Surgery at the University Hospital Farhat Hached of Sousse and was a member of the Unit of Liver Transplantation in the University of Rennes, France. He then worked in the Department of Surgery at the Sahloul University Hospital in Sousse. Professor Derbel is presently working at the Clinique les Oliviers, Sousse, Tunisia. His hospital activities are mostly concerned with laparoscopic, colorectal, pancreatic, hepatobiliary, and gastric surgery. He is also very interested in hernia surgery and performs ventral hernia repairs and inguinal hernia repairs. He has been a member of the GREPA and Tunisian Hernia Society (THS). During his residency, he managed patients suffering from diabetic foot, and he was very interested in this pathology. For this reason, he decided to coordinate a book project dealing with the diabetic foot. Professor Derbel has published many articles in journals and collaborates intensively with IntechOpen Access Publisher as an editor.",institutionString:"Clinique les Oliviers",institution:null},{id:"300144",title:"Dr.",name:"Meriem",middleName:null,surname:"Braiki",slug:"meriem-braiki",fullName:"Meriem Braiki",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/300144/images/system/300144.jpg",biography:"Dr. Meriem Braiki is a specialist in pediatric surgeon from Tunisia. She was born in 1985. She received her medical degree from the University of Medicine at Sousse, Tunisia. She achieved her surgical residency training periods in Pediatric Surgery departments at University Hospitals in Monastir, Tunis and France.\r\nShe is currently working at the Pediatric surgery department, Sidi Bouzid Hospital, Tunisia. Her hospital activities are mostly concerned with laparoscopic, parietal, urological and digestive surgery. She has published several articles in diffrent journals.",institutionString:"Sidi Bouzid Regional Hospital",institution:null},{id:"229481",title:"Dr.",name:"Erika M.",middleName:"Martins",surname:"de Carvalho",slug:"erika-m.-de-carvalho",fullName:"Erika M. de Carvalho",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/229481/images/6397_n.jpg",biography:null,institutionString:null,institution:{name:"Oswaldo Cruz Foundation",country:{name:"Brazil"}}},{id:"186537",title:"Prof.",name:"Tonay",middleName:null,surname:"Inceboz",slug:"tonay-inceboz",fullName:"Tonay Inceboz",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/186537/images/system/186537.jfif",biography:"I was graduated from Ege University of Medical Faculty (Turkey) in 1988 and completed his Med. PhD degree in Medical Parasitology at the same university. I became an Associate Professor in 2008 and Professor in 2014. I am currently working as a Professor at the Department of Medical Parasitology at Dokuz Eylul University, Izmir, Turkey.\n\nI have given many lectures, presentations in different academic meetings. I have more than 60 articles in peer-reviewed journals, 18 book chapters, 1 book editorship.\n\nMy research interests are Echinococcus granulosus, Echinococcus multilocularis (diagnosis, life cycle, in vitro and in vivo cultivation), and Trichomonas vaginalis (diagnosis, PCR, and in vitro cultivation).",institutionString:"Dokuz Eylül University",institution:{name:"Dokuz Eylül University",country:{name:"Turkey"}}},{id:"71812",title:"Prof.",name:"Hanem Fathy",middleName:"Fathy",surname:"Khater",slug:"hanem-fathy-khater",fullName:"Hanem Fathy Khater",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/71812/images/1167_n.jpg",biography:"Prof. Khater is a Professor of Parasitology at Benha University, Egypt. She studied for her doctoral degree, at the Department of Entomology, College of Agriculture, Food and Natural Resources, University of Missouri, Columbia, USA. She has completed her Ph.D. degrees in Parasitology in Egypt, from where she got the award for “the best scientific Ph.D. dissertation”. She worked at the School of Biological Sciences, Bristol, England, the UK in controlling insects of medical and veterinary importance as a grant from Newton Mosharafa, the British Council. Her research is focused on searching of pesticides against mosquitoes, house flies, lice, green bottle fly, camel nasal botfly, soft and hard ticks, mites, and the diamondback moth as well as control of several parasites using safe and natural materials to avoid drug resistances and environmental contamination.",institutionString:null,institution:{name:"Banha University",country:{name:"Egypt"}}},{id:"99780",title:"Prof.",name:"Omolade",middleName:"Olayinka",surname:"Okwa",slug:"omolade-okwa",fullName:"Omolade Okwa",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/99780/images/system/99780.jpg",biography:"Omolade Olayinka Okwa is presently a Professor of Parasitology at Lagos State University, Nigeria. She has a PhD in Parasitology (1997), an MSc in Cellular Parasitology (1992), and a BSc (Hons) Zoology (1990) all from the University of Ibadan, Nigeria. She teaches parasitology at the undergraduate and postgraduate levels. She was a recipient of a Commonwealth fellowship supported by British Council tenable at the Centre for Entomology and Parasitology (CAEP), Keele University, United Kingdom between 2004 and 2005. She was awarded an Honorary Visiting Research Fellow at the same university from 2005 to 2007. \nShe has been an external examiner to the Department of Veterinary Microbiology and Parasitology, University of Ibadan, MSc programme between 2010 and 2012. She is a member of the Nigerian Society of Experimental Biology (NISEB), Parasitology and Public Health Society of Nigeria (PPSN), Science Association of Nigeria (SAN), Zoological Society of Nigeria (ZSN), and is Vice Chairperson of the Organisation of Women in Science (OWSG), LASU chapter. She served as Head of Department of Zoology and Environmental Biology, Lagos State University from 2007 to 2010 and 2014 to 2016. She is a reviewer for several local and international journals such as Unilag Journal of Science, Libyan Journal of Medicine, Journal of Medicine and Medical Sciences, and Annual Research and Review in Science. \nShe has authored 45 scientific research publications in local and international journals, 8 scientific reviews, 4 books, and 3 book chapters, which includes the books “Malaria Parasites” and “Malaria” which are IntechOpen access publications.",institutionString:"Lagos State University",institution:{name:"Lagos State University",country:{name:"Nigeria"}}},{id:"273100",title:"Dr.",name:"Vijay",middleName:null,surname:"Gayam",slug:"vijay-gayam",fullName:"Vijay Gayam",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/273100/images/system/273100.jpeg",biography:"Dr. Vijay Bhaskar Reddy Gayam is currently practicing as an internist at Interfaith Medical Center in Brooklyn, New York, USA. 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Through the application of epidemiological skill, classical and molecular virological skills, he investigates viruses of economic and public health importance for the mitigation of the negative impact on people, animal and the environment in the context of Onehealth. \r\nDr. Meseko’s field experience on animal and zoonotic diseases and pathogen dynamics at the human-animal interface over the years shaped his carrier in research and scientific inquiries. He has been part of the investigation of Highly Pathogenic Avian Influenza incursions in sub Saharan Africa and monitors swine Influenza (Pandemic influenza Virus) agro-ecology and potential for interspecies transmission. 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His research work has been published in various high-impact factor journals (Science, PNAS, Nature Medicine) with a high number of citations. He has received many awards and honors in India and abroad including various Young Scientist Awards, BBSRC India Partnering Award, and Dr. JC Bose National Award of Department of Biotechnology, Min. of Science and Technology, Govt. of India. Dr. Saxena is a fellow of various international societies/academies including the Royal College of Pathologists, United Kingdom; Royal Society of Medicine, London; Royal Society of Biology, United Kingdom; Royal Society of Chemistry, London; and Academy of Translational Medicine Professionals, Austria. He was named a Global Leader in Science by The Scientist. He is also an international opinion leader/expert in vaccination for Japanese encephalitis by IPIC (UK).",institutionString:"King George's Medical University",institution:{name:"King George's Medical University",country:{name:"India"}}},{id:"94928",title:"Dr.",name:"Takuo",middleName:null,surname:"Mizukami",slug:"takuo-mizukami",fullName:"Takuo Mizukami",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/94928/images/6402_n.jpg",biography:null,institutionString:null,institution:{name:"National Institute of Infectious Diseases",country:{name:"Japan"}}},{id:"233433",title:"Dr.",name:"Yulia",middleName:null,surname:"Desheva",slug:"yulia-desheva",fullName:"Yulia Desheva",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/233433/images/system/233433.png",biography:"Dr. Yulia Desheva is a leading researcher at the Institute of Experimental Medicine, St. Petersburg, Russia. 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He received grants from Alianza del Pacifico for a stay at the University of Magallanes, Chile, in 2014, and from Consejo Nacional de Ciencia y Tecnología (CONACyT) to work in the Food and Agriculture Organization’s Animal Production and Health Division (AGA), Rome, Italy, in 2014–2015. He has collaborated with researchers from different countries and published ninety-eight journal articles. 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