\r\n\tThere is a scarce of antiviral drugs available in the market for therapy. Many pieces of research and new analytical techniques have unraveled the event and progression of a virus infection. Nowadays there's an honest understanding of the multiplication cycle of viruses, including the human immunodeficiency virus. The currently available antiviral drugs are presented arranged by their mode of action which will be understood by the multiplication cycle of the virus. The antiviral therapeutic area continues to rapidly generate meaningful new chemical entities; for instance, for HIV alone 25 drugs are approved, and within the next few years many drugs and single-tablet regimens will be approved for the treatment of hepatitis C virus infection. The increasing success within the antiviral area might be thanks to targeting drugs at "non-self" genomes and to the patient population that's tolerant of manageable side effects and adaptable to inconvenient dosing.
\r\n\tAt present, no treatment is available, apart from symptomatic interventions, but many vaccine- and drug-based approaches are being investigated worldwide and it is too early to judge their efficacy and safety.
\r\n\tThis book will aim to present new successful strategies; e.g artificial intelligence and better utilization of old/existing/available drugs for developing molecules with new pharmacological/therapeutic indications, high margin of safety, and reasonable economic cost.
\r\n\r\n\tArtificial intelligence (AI) techniques; e.g machine learning (ML) and deep learning (DL) have shown promising results in healthcare through its decision-making by analyzing the huge available perplexing data to provide rapid and reliable clinical decisions in diagnostic uncertainty or complex cases with high accuracy.
\r\n\r\n\tAimed at medicinal chemists and emerging drug discovery scientists, this book will be organized based upon diverse approaches for the discovery and optimization of initial lead compounds. This book will focus on capturing tactical aspects of problem-solving in antiviral design, an approach that holds special appeal for those engaged in antiviral development, but also appeals to the broader medicinal chemistry community supported its specialization in tactical aspects of drug design.
",isbn:"978-1-80355-331-3",printIsbn:"978-1-80355-330-6",pdfIsbn:"978-1-80355-332-0",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,isSalesforceBook:!1,isNomenclature:!1,hash:"9328b9ac2ca9d073afbace6ca4bd5d55",bookSignature:"Prof. Farid A. 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The medications currently in use are limited in their potency, have many side effects, and cannot be tolerated by many patients. As a result of the global epidemic of diabetes, the need for new diabetes therapies is expected to grow dramatically during the next decade. An intense research has been conducted to identify new therapeutic targets and pharmacologic compounds that might correct the impaired glucose tolerance. Materials that mimic insulin action or augment the effect of residual endogenous insulin are likely to be beneficial for both type 1 and 2 diabetic patients. During the recent years many investigators have shown that natural products are a potential source for new drug candidates for many diseases in general, and diabetes in particular. A research aimed at revealing new natural sources to treat diabetes is of high importance.
A variety of traditional anti diabetic plants are known in the folk medicine. Although some of them have been studied for their anti diabetic effects, the knowledge on their efficacy and mechanism of action is very limited.
The Glucose Tolerance Factor (GTF) is a dietary agent first extracted from Brewer’s yeast [1]. GTF reversed the impaired glucose tolerance of both diabetic rats and diabetic patients. In vitro studies with GTF showed remarkable increase in glucose transport into adipocytes, and cardiomyocytes. An increase in glucose incorporation into glycogen in rat hepatocytes was also found for GTF preparations [2].
Despite the high anti diabetic activity of this natural compound, GTF has not been fully characterized or identified, mainly due to the instability of the purified fractions. Our laboratory succeeded in extraction and partial purification of an active and stable GTF preparation from brewer’s yeast. We examined GTF effects in animal models for both types of diabetes, and found high and rapid anti diabetic activity. We also examined GTF effects on the cellular level and found high insulin mimetic and insulin potentiating activity for GTF. The mechanism of action of GTF along insulin signaling pathway was also studied.
Diabetes is the world’s most common metabolic disease and one of the leading causes of morbidity and mortality. According to WHO (World Health Organization) report [3],
Diabetes mellitus is a complex syndrome involving severe insulin dysfunction along with gross abnormalities in glucose homeostasis and lipid and protein metabolism. The disease is generally divided into two major types: Insulin Dependent Diabetes Mellitus (IDDM, or type 1], and Non Insulin Dependent Diabetes Mellitus (NIDDM, or type 2 DM). Both forms are devastating with respect to their latter complications. People with diabetes have a 25-fold increase in the risk of blindness, a 20-fold increase in the risk of renal failure, a 20-fold increase in the risk of amputation as a result of gangrene and a 2 to 6-fold increase in the risk of coronary heart disease and ischemic brain damage. In general, life expectancy for a person with diabetes is decreased by one-third [5].
Oxidative stress and non enzymatic glycation play a major role in the pathogenesis of diabetes mellitus [7, 8]. During diabetes, persistent high concentrations of blood glucose increase the production of oxygen free radicals – OFRs. through auto oxidation of glucose Hunt et al., 1990, and also by non enzymatic lipid and protein glycation [9]. OFRs react with membrane phospholipids forming malondialdehyde (MDA) [10, 11]. Lipid peroxide levels, and especially oxidized LDL, are significantly higher in diabetic patients than in healthy individuals. [12-14]. These Major changes in lipid metabolism cause lipid peroxidation in plasma and cellular membranes which lead to micro and macro vascular pathologies [15].
The natural protective system of antioxidant enzymes like superoxide dismutase, glutathione peroxidase and catalase that provides the detoxification steps for the oxidative products, cannot overcome massive production of free radicals to prevent oxidative damage. [16]. It was shown that the activity of the antioxidant systems is decreased in diabetic patients. [17, 18]. This leads to oxidative stress and to the development of diabetes complications.
The reduction of glucose by the aldose reductase (AR) catalyzed polyol pathway has been linked to the development of secondary diabetic complications like cataract, nephropathy, retinopathy and neuropathy. Accumulation of sorbitol in the organs, due to AR-catalyzed reduction of glucose, causes osmotic swelling resulting in ionic imbalance and protein insolubilization leading to diabetes complications. [19]. Although treatment with AR inhibitors has been shown to prevent tissue injury in animal models of diabetes, the clinical efficacy of these drugs remains to be established. [20].
Daily injections of insulin are the only treatment for type 1 diabetes. The treatment for type 2 ranges from diet, to classical oral drugs (Sulfonyl urea and biguanides), and to Thiazolidinediones and the new GLP1 analogues. About 40% of type 2 diabetics use insulin in addition to oral drugs.
Although the pathogenesis of diabetes and its long-term complications are well known, optimal treatment remains elusive. The medications currently in use are limited in their potency, have many side effects, and cannot be tolerated by many patients. Only half of the patients achieve the recommended hemoglobin A1c target using conventional treatment [21]. As a result of the global epidemic of diabetes, the need for new diabetes therapies is expected to grow dramatically during the next years. [22]. Pharmaceutical research conducted over the past decades has shown that natural sources like herbs, medicinal plants and yeast extract, are potential sources for new drug candidates for many diseases in general [23], and diabetes in particular [24].
Several reviews published in recent years screen many plant sources with anti-diabetic properties [24, 25, 26, 27, 28, 29]. Among these plants: Trigonella foenum, graecum, Allium cepa. & Allim sativum, Silybum marianum, Mordica charantia, Camellia sinensis, Morus nigra, Gymnema sylvestre L., Ginkgo biloba L., and many others. Anti-diabetic health effects include increasing serum insulin, decreasing blood glucose, increasing glucose metabolism, and/or stimulating pancreatic function. Adverse effects, contraindications, and interactions between herbal medicines and synthetic drugs exist and may cause clinical consequences.
We shall briefly screen here some of the most potent anti diabetic sources.
Fenugreek (Trigonella Foenum Graecum), is one of the safest and most effective plants in treating diabetes. Clinical studies showed that fenugreek seeds have anti diabetic effects [30]. "Bitter melon" (Momordica Charantia) fruit extract reduced blood glucose and was found effective in treating diabetes [31]. Garlic has been reported to possess a variety of medicinal properties including hypoglycemic, hypocholesterolemic and hypolipidemic activities [32]. Raw garlic extract reversed proteinuria in diabetic rats in addition to reducing blood glucose, cholesterol and triglyceride in diabetic rats [33]. Silybum Extract (Silybum Marianum) increases the cellular sensitivity to insulin and thus reduces blood glucose total cholesterol and LDL levels in diabetic patients [34]. Bitter cucumber plant fruit (Mamordica Charantia) reduced blood glucose in patients with type 1 diabetes [35]. Green tea (Camellia Sinensis) can reduce blood sugar in diabetic patients. Studies show that the consumption of one and a half gram dry powder of green tea, improved the metabolism of blood sugar in diabetic patients [36]. Ginkgo biloba plant is capable of lowering glucose, fat, and lipid peroxide in diabetic patients [37]. The ethanolic extract of Allium porrum leaves had hypoglycemic effects on diabetic animals probably through the increase of insulin release [38].
Some nutritional factors, such as polyphenols, counteract insulin resistance and therefore may be beneficial for patients with type 2 diabetes mellitus through their insulin-potentiating, antioxidant, and anti-inflammatory properties. The common cinnamon (CN) has a long history of use as a spice, preservative, and pharmacological agent; CN is also a source of polyphenols. Several studies demonstrated that in animals and humans, CN and aqueous extracts of cinnamon improved the level of blood glucose, lipids and insulin, and may be beneficial to counteract the features of insulin resistance, metabolic syndrome, and the onset of type 2 diabetes mellitus [39, 40, 41, 42].
Although many medicinal plants have been traditionally used for treating diabetes [43, 44, 45], the influence of most of them has only rarely been scientifically tested and validated, and the knowledge on their efficacy and mechanisms of action is very limited.
The Glucose Tolerance Factor (GTF) is a dietary agent first extracted from Brewer’s yeast [1]. This natural compound reversed the impaired glucose tolerance of diabetic rats [48, 49], and of diabetic patients [50]. GTF can be extracted from several sources, among them: liver [51], black pepper, and kidneys. Especially rich source for GTF are brewers’ yeast [52, 53, 54, 55].
Addition of partially purified GTF to the diet of glucose intolerant rats rapidly returned them to normal [56]. Doisy and his group found an improvement in glucose tolerance in elderly people who were treated for two months with GTF. In 50% of the patients, glucose tolerance was restored to normal values. [57].
Offenbacher and Pi Sunyer [46], examined 24 elderly subjects, who were fed daily for 8 weeks with brewers’ yeast as a sorce for GTF. They found a considerable improvement in glucose tolerance and insulin sensitivity, and a reduction of total lipids in these patients.
Grant and McMullen [50] treated 37 type 2 diabetics for 7 weeks, in a double blind study, with either brewers’ yeast as a source of GTF, or placebo. Supplementation of brewers’ yeast significantly decreased HbA1c and increased HDL cholesterol in the treated group. Elwood [58] supplemented 11 normolipidemic and 16 hyperlipidemic subjects with brewers’ yeast. They found that total circulating cholesterol was significantly reduced and the HDL levels were significantly increased in both the normo and hyperlipidemic subjects supplemented with brewers’ yeast. Riales [59] reported that human subjects receiving 7g of brewers’ yeast for 6 weeks had a significant decrease in serum LDL and an increase in HDL cholesterol.
In vitro studies with partially purified preparations of GTF, showed stimulation of glucose metabolism in several tissues. GTF potentiated glucose oxidation to CO2 in adipose tissue [54, 60], or adipocytes [53, 61]. In those studies the enhancement was shown only in the presence of insulin, and the stimulation of CO2 production by GTF in the absence of insulin was negligible [53, 54, 60, 61].
In contrast to the findings above, showing GTF activity only in the presence of insulin, other groups found an increase of glucose metabolism by adding GTF in the absence of insulin. Tokuda et al, [62] examined GTF obtained from yeast extract powder on glucose uptake in adipocytes. They found a stimulation of glucose uptake (5.6 times greater than the basal level) in the absence of insulin. Our group also showed an increase in glucose transport both to yeast cells [63, 64], and to animal cells [65].
Since GTF is supposed to be essential for normal glucose tolerance in mammals, and as muscle tissue consumes a major part of blood glucose in the post prandial state, it is most important to assess the effect of GTF on muscle tissue. Fischer and his group [66] examined the effect of GTF obtained by partial purification of yeast extract, on glucose transport in isolated cardiomyocytes. They found that GTF samples increased the rate of glucose transport in the isolated cells, 2 to 2.5 fold, in the absence of insulin. Hwang et al [67] showed enhancement of 14C -glucose oxidation into CO2 in rat adipocytes by the addition of several fractions extracted from yeast. The authors found only insulin like activity and not insulin potentiating activity for the fractions examined.
The exact composition and structure of GTF are still obscure. Mertz and his group suggested that GTF is probably a small organic molecule comprising one trivalent chromium ion, two molecules of nicotinic acid, and three amino acids: glycine, cystein and glutamic acid [54, 68, 69]. Its molecular weight is estimated to be around 500 daltons [54, 69], It is cationic, soluble in water, and stable in physiological solutions [54, 68].
Several groups who tried to identify the active components present in brewers\' yeast, claimed that they are quinoline derivatives [70], or phosphatidylinositol glycans [71]. Other investigators tried to further purify and identify the exact structure and composition of GTF. There is no standard accepted method to isolate GTF, and this fact can probably explain the diversity of the results reported in the literature. In addition, a major problem related to GTF purification, is the instability of the partially purified fractions. This lability, can partially explain the complexity of the subject, and the fact that in spite of the long time since the material was discovered, its exact composition and structure have not been determined.
Tuman [48] who presented the activity of GTF and several synthetic complexes on lowering blood glucose found that in 10 days both the natural compound and the synthetic complexes lost their activity. Mertz reported that highly purified preparations of GTF from yeast or pork kidney tend to be unstable, and lost their activity very quickly [52]. Yamamoto [51] found that GTF like activity of the purified LMCr (low molecular weight chromium binding substance) reduced gradually, and finally there could not be detected any activity. Even at -20 °C, no recovery of the active material could be achieved. We can explain the instability of the purified fractions of GTF by a loss of a co-factor(s) which is probably responsible for the stability of the complex.
Most of the groups who tried to purify GTF from brewers\' yeast agree that the GTF is a cationic compound. Only several researchers claimed that the GTF is an anionic compound: Votava and his group [72] reported that GTF is an anionic chromium complex of molecular weight 400-600, containing at least six amino acids. Since the authors measured only the absorption of the complex by rats, and no biological activity assay was done on it, it is hard to compare Votava’s compound to other extracts exhibiting GTF activity.
A low molecular weight chromium binding substance (LMCr), was isolated from mouse or rabbit liver and bovine colostrum by Yamamoto and his group [51, 73]. LMCr appears as anionic organic Cr compound, with a relative molecular mass of 1500 daltons. It is composed of glutamic acid, glycine, cysteine and aspartic acid in a ratio of Cr: Amino acid 1:4. The purified LMCr enhanced glucose conversion to CO2 in rat epididymal adipocytes in the presence of insulin. The rate of glucose incorporation into lipid was stimulated by 30-40% with insulin, or by 15-23% without insulin [51]. Yamamoto and his colleagues were not able to detect nicotinic acid in the extract of LMCr, but some UV absorption was present [73]. This substance appeared to posses properties similar to GTF extracted from yeast.
Another question is related to the nature of the amino acids present in the GTF complex. Urumow & Wieland [74], suggested that GTF activity in stimulating 14C-glucose oxidation is attributable to the combined action of certain amino acids (aspartate, cystein) and nucleosides (adenosine). Fischer [66] came to a conclusion that GTF activity is attributed to the presence of alanine. Hwang and his group [70] suggested that the GTF obtained was a quinoline derivative, which easily binds chromium.
While many research groups in the past agreed with the concept suggested by Mertz that GTF contains chromium [51, 55, 73, 75], accumulating data during the years indicates that there is no chromium present in the GTF preparation. Haylock and his group, who tried to purify and identify GTF for many years, did not find a correlation between chromium content and the biologic activity. They came to the conclusion that: "GTF from brewers\' yeast can no longer be regarded as a chromium complex" [76]. Shepherd [77] also came to a similar conclusion.
Stearns [78] summarized the purification research that had been done on GTF and discussed the relation of the active component to chromium. She did not find a correlation between chromium and GTF activity. Stearns also investigated the issue of the essentiality of chromium to human health, and found that "no chromium-containing glucose tolerance factor has been characterized, the purpose of the low-molecular-weight chromium-binding protein is questionable, and no direct interaction between chromium and insulin has been found" [79]. Moreover, she criticized the dietary supplementation of chromium: "Chromium+3 may act clinically by decreasing the iron stores that are linked to diabetes and heart disease. This would make chromium+3 a pharmacological agent, not an essential metal" [79].
Eddens and his colleagues [47], isolated three separate fractions by eluting yeast extract from C18 column and found diverse activities in increasing glucose metabolism and inhibiting lipolysis for the different fractions, not connected to their chromium content.
Recently, our group also measured the chromium concentrations in the active fractions isolated from yeast extract and did not find any correlation between the chromium content and the biologic activity (Mirsky et al, unpublished data).
To summarize the chromium issue: Although the active material isolated from yeast (GTF) has been known for years to be a chromium complex, accumulating evidence during recent years show that the active anti diabetic fractions in GTF do not contain chromium.
Our laboratory succeeded in extraction and partial purification of an active and stable GTF preparation from brewer’s yeast. We used several separation techniques including membranes with different molecular cut off, ion exchange columns and reversed phase HPLC. Our GTF preparation has a molecular weight below 1000 dalton. It was found to be very stable: it is stable to high and low pH and it keeps its activity up to 12 months in 4°C. Moreover, GTF is also stable to proteolytic enzymes. This finding enables an oral treatment with GTF, in contrast to insulin, which is a protein and has to be injected [49, 80, 81].
In the following paragraphs we shall present several of our findings on GTF both in vivo and in vitro. We examined GTF effects in animal models for both types of diabetes, and found high and rapid anti diabetic, hypolipidemic and antioxidant activity. We also found a remarkable reduction in the complications of diabetes: nephropathy and retinopathy, by treating the diabetic animals with oral doses of GTF [81].
In vitro studies done in our laboratory showed insulin mimetic and insulin potentiating activity for GTF [65].
A single oral dose of GTF, orally administered to both types of diabetic animals, decreased immediately and remarkably glucose and lipid levels in their blood [49, 80]. Glucose reduction appeared immediately after the administration of GTF, reached a maximum within 2 hours, and lasted for several hours. When GTF was administered in concert with marginal insulin doses, the reduction in blood glucose was much higher than for each agent alone, demonstrating a synergy between GTF and insulin [80].
We examined GTF effects in two rat models exhibiting insulin deficiency: the streptozotocin (STZ) diabetic rat, which is characterized by the damage induced to beta cells by the drug, and the hyperglycemic Cohen diabetic-sensitive ((hyp-CDs) rat, which is characterized by beta cell dysfunction and decreased glucose stimulated insulin secretion (from Wexler-Zangen et al, [65].
Control-vehicle treated hyp-CDs and STZ rats exhibited an abnormal glucose-tolerance curve, characterized by elevated blood glucose levels (Figs 1A and B) Administration of an oral dose of GTF (at zero time) lowered the blood glucose area under the curve (BG-AUC) of both hyp-CDs and STZ rats compared to vehicle treated rats. The decrease in BG-AUC depended on the dose of GTF administered. Insulin secretion in response to glucose stimulation did not change significantly in GTF treated hyp-CDs rats (From Wexler-Zangen et al, [65], indicating that the glucose lowering effect of GTF is not related to stimulation of insulin secretion.
Oral Glucose Tolerance Test (OGTT) of GTF treated diabetic rats
Post prandial (PP) blood glucose level is very high in both hyp-CDs and STZ diabetic rats. In the vehicle treated hyp-CDs and STZ rats, the markedly elevated BG concentrations remained high for more than 120 min (Figs 2A and B). A single oral dose of GTF administered at zero time significantly reduced (P<0.001) the high BG concentrations in both hyp-CDs [33%) and STZ rats [38%).
GTF decreases Postprandial (PP) glucose levels in diabetic rats
A remarkable decrease in triglyceride level was observed in diabetic animals administered with 5 daily oral doses of GTF (Figure 3). The treatment with GTF also remarkably decreased the level of LDL cholesterol (Figure 4A), and increased the level of HDL cholesterol (Figure 4B), (Ampel et al., unpublished data). The reduction in LDL cholesterol was also demonstrated in healthy animals treated with GTF, indicating a potential preventive effect of GTF in healthy subjects.
GTF can inhibit the deleterious elevation in lipid peroxides induced by diabetes. Type 1 diabetic rats were treated with 5 daily oral doses of GTF. The animals were killed and the levels of lipid peroxidation products - malondialdehyde (measured as TBARS – thiobarbituric acid reactive substances), in healthy, diabetic and diabetic rats treated with GTF were determined. Figure 5 demonstrates the level of lipid peroxidation products detected in the plasma of healthy, diabetic, and diabetic rats treated with GTF, showing a major decrease in the level of plasma peroxides in diabetic animals treated with GTF. These results indicate high antioxidant activity of the GTF preparation (From Ampel et al., unpublished data).
Effect of GTF on plasma triglycerides. Plasma triglyceride concentration in healthy rats, diabetic rats and diabetic rats treated with 5 daily oral doses of GTF [1,64g /rat). All animals were 15 weeks old, diabetic animals were 10 weeks after onset of diabetes. (from Ampel et al., unpublished data).
Effect of GTF on Plasma LDL and HDL concentrations. A. LDL composition: cholesterol/protein ratio in healthy rats, diabetic rats and diabetic rats treated with 5 daily oral doses of GTF [1,64g /rat). All animals were 15 weeks old, diabetic animals were 10 weeks after onset of diabetes. B. HDL composition: cholesterol/protein ratio in healthy rats, diabetic rats and diabetic rats treated with 5 daily oral doses of GTF [1,64g /rat). All animals were 15 weeks old, diabetic animals were 10 weeks after onset of diabetes. (from Ampel et al., unpublished data).
Effect of GTF on plasma peroxides. Plasma oxidation level, measured as peroxide concentration, in healthy rats, diabetic rats and diabetic rats treated with 5 daily oral doses of GTF (1,64g /rat). All Animals were 15 weeks old, diabetic animals were 10 weeks after onset of diabetes (From Ampel et al., 2000).
In vitro studies with GTF added to tubes containing human LDL, indicated a protective effect of GTF against LDL oxidation (Ampel et al., unpublished data).
The levels of lipid peroxidation products, TBARS, in the kidneys and hearts removed from healthy, diabetic, and diabetic rats treated with GTF are shown in figures 6 & 7 (From Nakhoul et al., [81] Figure 6 presents the level of lipid peroxidation products determined in the hearts of the various experimental groups. The value of lipid peroxides in untreated diabetic rats was significantly higher than the value detected for healthy animals. The level of lipid peroxides in the hearts of diabetic rats treated with 5 oral doses of GTF was very low - a higher effect seen for the higher dose of GTF, similar to the level found in healthy animals. A remarkable decrease in lipid peroxidation level is shown also in kidneys removed from diabetic rats treated with GTF (Figure 7). Peroxide values found in the animals treated with GTF were very similar to those found in healthy controls. The above assays show the remarkable effect of GTF treatment on lipid peroxidation level in diabetic animals, both in plasma and in cardinal organs.
Elevated activity of aldose reductase (AR) in the organs is one of the events occurring in hyperglycemic conditions. We measured aldose reductase activity in the hearts of healthy, diabetic and diabetic treated with GTF (Figure 8). AR activity in the hearts of diabetic rats was much higher than that found in healthy rats. 5 oral doses of GTF remarkably reduced the activity of the enzyme in the hearts of the treated diabetic animals in a dose dependent mode, indicating a potent aldose reductase inhibition activity in GTF preparation.
Effect of GTF on lipid peroxidation in the heart
Effect of GTF on lipid peroxidation in renal cortex
Effect of GTF on aldose reductase activity in the heart
We measured the urine volume and urine protein of healthy, diabetic, and diabetic rats treated for two weeks with oral doses of GTF. Diabetes was induced at zero time. The group of diabetic animals treated with GTF received daily doses of GTF mixed in their food immediately with the induction of diabetes. The animals were kept in metabolic cages, and urine was collected daily. Fig. 9 presents the urine volume and Fig 10 presents urine protein of the different groups, indicating a significant reduction both in urine volume and in urine protein of diabetic rats treated with GTF (from Nakhoul et al., [81]).
Glial Fibrillary Acidic Protein (GFAP) is normally expressed in retinal astrocytes. Under pathologic conditions like hyperglycemia or ischemia, GFAP can be detected in other retina\'s areas like Muller cells layer. GFAP has been widely used as a cellular marker for retinal pathology.
Effect of GTF on urine volume
Effect of GTF on urine protein
In a study done in our laboratory on healthy, diabetic, and diabetic rats treated for two weeks with GTF, a large amount of GFAP staining in Muller cell layer was demonstrated in diabetic untreated retinas (Fig. 11). (Mirsky et al., unpublished data). A remarkable reduction in GFAP expression was demonstrated in retinas derived from diabetic animals treated with GTF, where GFAP could be seen only in the glial astrocytes layer, very similar to what was found in the healthy retinas.
Effect of GTF on GFAP in the retina
Sodium / Potassium ATPase is located in the pigment epithelial layer of the retina. In healthy retinas stained histochemically for Sodium / Potassium ATPase, the activity of the enzyme can easily be detected, whereas it was remarkably reduced in diabetic retinas. A prevention of the damage could be detected in retinas isolated from diabetic animals treated for two weeks with GTF, where the activity of the pump is similar to the activity shown for healthy controls. (Figure 12) (Mirsky et al., unpublished data).
Effect of GTF on Sodium/Potassium ATPase in the retina.
Binding of insulin to its receptor initiates a cascade of phosphorylations of several substrates, including insulin receptor substrate (IRS) proteins. IRS-1 is widely expressed in insulin-sensitive tissues, and it transmits the signal from insulin receptor to biological endpoints, such as glucose transport, protein, lipid, and glycogen synthesis. Phosphorylation of IRS-1 subsequently triggers the activation of downstream signal molecules such as phosphatidylinositol 3-kinase (PI3K), protein kinase B (PKB/AKT), several isoforms of protein kinase C (PKC), and mitogen-activated protein kinase (MAPK).
Studies done in our laboratory on L6 myoblasts and 3T3-L1 adipocytes presented a marked increase in 2-deoxy-glucose [2-DG) uptake induced by GTF, in a rate similar to insulin, indicating a high positive effect on glucose uptake (Figure 13) (From Weksler-Zangen et al., [65].
GTF increases 2-Deoxy glucose uptake to 3T3-L1 adipocytes.
We also found that the increased glucose transport induced by GTF is dose dependent (Weksler-Zangen et al., [65]. A similar synergy between GTF and insulin that was demonstrated in diabetic animals in vivo was also found in vitro: The increase in 2-DG transport detected for the combination of GTF and insulin was much higher than for each agent alone. The rate of 2-DG transport found for the combined treatment exceeded the sum of the two separate treatments, indicating a synergy between GTF and insulin (Weksler-Zangen et al., [65]. We also found increased phosphorylation of key proteins along insulin signaling pathway, like IRS1, AKT, ccbl and MAPK, by the addition of GTF to the medium (Figures 14-16). GTF induced phophorylation of key proteins was dose and time dependent. The phosphorylation obtained by GTF was similar to that induced by insulin. However, we did not find any augmented phosphorylation of the insulin receptor following GTF addition, indicating a possible "by pass" of the insulin receptor by GTF.
GTF stimulates tyrosine phosphorylation on IRS1.
GTF stimulates AKT phosphorylation.
GTF stimulates MAPK phosphorylation.
In a search for new and effective medications for diabetes mellitus, there is a growing interest in natural derived hypoglycemic agents such as medicinal plants, herbs, and yeast. The Glucose Tolerance Factor (GTF), which is an active anti diabetic material extracted from yeast, is presented in the current manuscript.
GTF effectively decreased the elevated blood glucose in diabetic animals and humans. It also decreased triglycerides and LDL cholestrerol and increased HDL cholesterol in diabetic subjects. GTF treatment also prevented diabetes complications like nephropathy and retinopathy.
Not being a protein, GTF can be taken orally. GTF is both insulin mimicker and insulin potentiator: It can decrease glucose and lipids in the blood when given without any additional medication, but can also activate insulin effect: a small dose of insulin becomes more effective when administered with a dose of GTF.
GTF exerts insulin-mimetic and insulin-potentiating activity also in-vitro: glucose transport is increased by the addition of GTF. When GTF is added with insulin - an augmented glucose transport is detected.
In vitro studies shed light on the mechanism of action of GTF: GTF produces insulin-like effect by acting on cellular signals downstream of insulin receptor, regulating glucose transport, glycogen, and protein synthesis and modulating nuclear activity in the same manner as insulin. These results demonstrate GTF as a potential natural source for a novel oral anti diabetic drug in the future.
As the general surgical techniques have polished with more and more precise gestures, which in time lead to the appearance and development of even robotic surgery, the same phenomenon happened when it comes to adjuvant methods to better identify, visualize, and resect a specific structure/tissue during the intervention. Fluorescence can bring important assets when it comes to seeing better—the vessels, the lymph nodes, and the tumor itself. Some organs, such as the case of the ureter, are also much better underlined with the technique of NIR-ICG (near-infrared light and indocyanine green [ICG]), and therefore, the risk of producing a lesion secondary to incomplete visualization is smaller. This chapter closely looks at the literature on the theme of ICG in colorectal surgery, offering also a general frame made out of significant research, mainly systematic reviews and randomized controlled trials about the use of ICG in visceral surgery.
According to the definition given by the Merriam-Webster dictionary, a dye or a stain is able to penetrate living cells or tissues without inducing immediate obvious degenerative changes and thus, it is also called a vital stain. Supravital staining implies the removal of living cells from an organism, whereas intravital staining involves injecting (or otherwise administering) the dye into the organism. The term “vital stain” is sometimes used to refer to an intravital stain, and in some other situations, it is interchangeable with a supravital stain, the main idea being that the cell being looked at is still alive. In a more strict way of speaking, the term “vital staining” has a meaning which is opposite to “supravital staining.” If living cells take up the stain during supravital staining, living cells exclude the dye during “vital staining”; for example, they color negatively and only dead cells color positively, and hence, viability can be measured by counting in percentage the amount of total cells that stain negatively. Because the nature of the dye defines if the staining is either supravital or intravital, a mix of supravital and vital dyes can be employed to better categorize cells into various groups (e.g., viable, dead, dying) (Figures 1 and 2).
Metallic green sheen characteristic colonies of
A vial of methylene blue.
Tissue staining, also known as chromoscopy, can be used as an adjuvant technique in gastrointestinal endoscopy to help with the recognition of subtle lesions, such as is the case with polyps or, more so, allows to directly target biopsies, which may happen in the case of Barrett’s esophagus, in order to increase the precision of the diagnosis. Four endoscopic staining techniques have been described—vital staining (the use of an agent that is absorbed by the intestinal epithelium), contrast staining (the use of a substance to accentuate the aspect of the surface), reactive staining (the use of an agent that can fire chemical reactions), and tattooing (a technique using agents such as India ink to underline a special lesion on the mucosa).
Tissue stains used in gastrointestinal surgery, as mentioned by Fennerty [1], can be classified as follows:
tattooing agents
India ink is used for permanent marking of the mucosal site for relocalization at the time of surgery or endoscopy, also used in the esophagus, stomach, and colon, which is safe without side effects.
Indocyanine green is a shorter-duration tattooing agent with more information offered in the following section.
absorptive stains
Lugol’s iodine (stains normal glycogen containing squamous mucosa of the esophagus, allowing recognition of abnormal squamous epithelium—dysplasia—or metaplastic epithelium—Barrett s esophagus),
methylene blue and toluidine blue (stains the absorptive epithelium small bowel and colon), allowing the identification of metaplastic epithelium in the esophagus (Barrett s esophagus) and stomach (gastric intestinal metaplasia), can also find a negative stain in gastric metaplasia at the level of the duodenal bulb.
contrast stains
indigo carmine and cresyl violet (accentuates mucosal topography, allowing recognition of abnormal small bowel sprue and colonic mucosa inflammatory bowel disease, polyps).
reactive stains
Congo red (identifies acid-secreting portions of the stomach postoperatively and documents achlorhydria) and
phenol red (identifies alkaline areas of the stomach).
According to the definition offered by www.britannica.com, fluorescence is the emission of electromagnetic radiation, usually visible light, caused by the excitation of atoms in a material, which then reemit almost immediately (within about 10 s). The initial excitation is frequently determined by the absorption of energy from incident radiation of particles, as is the case with X-rays or electrons (Figure 3). Due to the fact that reemission happens so quickly, the fluorescence stops when the exciting source is removed, unlike the phenomenon of phosphorescence (Figure 4), which later persists as an afterglow.
High-resolution fluorescent microscope image of clusters of tumor cells in red surrounded by normal cells and normal skin in green. Photo source:
Research sample slide of tumor tissue where cells have been stained for different proteins using a fluorescently tagged antibody. Presented as false-color image on white background.
Fluorescence imaging techniques have become increasingly common in recent years. ICG-based fluorescence, in particular, is now widely used in a variety of diagnostic and treatment procedures, according to the research made by Nowaka and co [2]. ICG is currently the most commonly used fluorescent agent due to its gradual degradation and the rarity of the severe adverse effects described. ICG is a water-soluble, amphiphilic tricarbocyanine probe with a molecular weight of 776 Da, relatively nontoxic, unstable compound, a dye in clinic use bound by albumin in the intravascular space until rapid clearance by the liver. Severe allergic reactions associated with the use of ICG are very rare (1:10,000) with an incidence of 0.05% and mostly occur in patients allergic to iodine. It has various applications in different fields, such as cardiology, ophthalmology, and neurosurgery, but its fluorescent properties have only recently been applied to the intraoperative estimation of tissue blood supply. Apart from ICG, other substances can act as fluorophores (fluorescent chemical compounds that are able to reemit light upon light excitation), such as methylene blue, five-aminolevulinic acid, fluorescein sodium.
What is fluorescence-guided surgery (FSG)? FSG is employed because white visible light makes various tissues appear either identical or highly similar, and proper tumor identification can be difficult, according to www.isfgs.org [3]. Moreover, the surgeon just sees the tissues from the superficial layers under natural light. Nonetheless, structures that were previously invisible can be seen now and recognized by using ICG in a different light length. By combining visual abilities with special dyes, it is now possible to avoid such organs or structures during the surgical process in order to avoid harming them. Other benefits of the FSG include the ability to minimize operative time and the need for second-look procedures by facilitating the rapid detection of structures and lesions while avoiding excessive harm.
ICG has found application in several fields of general surgery, especially colorectal surgery (seen in the next section of the present article), esophageal surgery, and emergency evaluation of intestinal perfusion in cases of mesenteric ischemia, kidney transplantation, hepatobiliary, and endocrine surgery.
ICG can improve the harvesting of tumors during surgery and can properly adjust both the indications, as the extent of the intervention. In a systematic review performed in 2020 by Baiocchi [4], which took into account 192 screened papers with six series meeting the eligibility criteria, there were analyzed in total 353 peritoneal nodules, the neoplasms in question being—colorectal, hepatocellular, ovarian, endometrial. The above-mentioned study had as a purpose to look at the available clinical data regarding the value of ICG fluorescence imaging for intraoperative detection of peritoneal carcinomatosis during open surgery and the main aspects studied settled to the conclusion that sensitivity varied from 72.4 to 100%, while the specificity ranged from 54.2 to 100%.
The ICG fluorescence method is being used more and more in liver surgery due to the fact that it permits the real-time display of the segmental anatomy of the organ, depending on the tumor’s characteristics, and, more so, it is possible to perform direct or indirect identification of hepatic lesions and metastases. Additionally, ICG imaging allows more sensitive detection of tumor foci and, therefore, also a higher R0 resection rate. However, in a systematic review of the literature on the application of ICG imaging in open and laparoscopic liver surgery performed by Sucher et al. [5], the conclusion was drawn toward the aspect that the application resulted mainly useful for superficial lesions, as the depth of penetration of NIR is only 8–10 mm. In liver resections, post-hepatectomy liver failure (PHLF) can occur although an adequate liver volume is kept in place. Diverse dynamic functional tests, such as the indocyanine green test (ICG), could only appreciate globally the liver function, with no definition toward the functional ability of the hepatic remnant. Magnetic resonance imaging (MRI) with liver-specific contrast agents makes the evaluation of both liver function and volume possible. A preoperative combination between dynamic quantitative tests, such as ICG, with MRI or HBS (hepato-bilio-scintigraphy), should provide a more complete functional evaluation. One should opt for various functional tests to predict PHLF that should be selected according to patient’s characteristics, disease, and center experience, as shown by Tomassini and the team [6].
The incidence of skin flap necrosis after mastectomies can reach 11–24%. Laser-assisted ICG angiography appears as a promising technique to assess skin flap perfusion. In a systematic review performed by Driessen et al. [7], it was found that all studies looking at the current ICG methodology and ability to predict outcome showed a substantial decrease in skin necrosis when the ICG was used.
Endometriosis is a very commonly encountered disease that is found in up to 10% of the female population. The use of (ICG) has been advocated for the proper location of endometriotic lesions intraoperatively. NIR-ICG is useful in appreciating the blood supply of bowel anastomoses after segmental resection, according to a systematic review done by Ianieri et al. [8] that looked at 53 studies.
Iatrogenic ureteral injury in abdominal surgery is rare at the moment, although it can still result in significant morbidity and mortality. Inspection and palpation are two traditional methods of measuring iatrogenic ureteral damage, which can be difficult during laparoscopic procedures. The use of NIRF imaging to aid in better visualization of the ureters is currently being investigated. The report’s goal performed by Slooter et al. [9] was to picture the currently available and experimental dyes in ureter visualization and to further evaluate their feasibility of using them and, more so, to look at their effectiveness.
Several studies, among which the one performed by Copaescu [10], aimed to look at the reliability of a novel fluorescence-guided laparoscopic technique to correctly find the site of unknown gastrointestinal bleeding, with the help of the vascular washout properties of indocyanine green (ICG). The bleeding site was correctly identified and the patient benefited from a minimally invasive technique, and it was, therefore, possible to avoid an open surgical exploration.
This represents another important topic in different surgical fields, for instance, urology, gynecology, and general surgery.
In the early stage of breast cancer, ICG-fluorescence-based sentinel lymph node (SLN) detection is being considered. A systematic review looking at 2301 patients from 19 studies found that ICG-fluorescence could complement the radioisotope method or provide an alternative. Another study regarding the ICG lymph node technique in breast cancer was a literature review presented by Benson [11] in which a significantly better sentinel node detection rate was found with ICG than with the standard radioisotope method (Figure 5).
The surgeon uses a portable fluorescence imaging device during breast removal. Photo source:
Techniques that combine the ability to identify technetium-99 and a blue dye have been widely used for sentinel lymph node biopsy (SLNB), but there has recently been a surge of interest in the use of fluorescent staining, such as indocyanine green (ICG), to improve the rate of SLN detection. Even though recent guidelines recommend sentinel lymph node biopsy in addition to PLND, SLN biopsy alone is not yet the gold standard because there is insufficient prospective evidence, especially in terms of long-term oncological protection. The prospective randomized clinical trial SENTICOL III will answer to these signaled issues, as a study by Balaya et al. [12] mentions. In addition to the facts mentioned above, the prospectively randomized FILM trial evaluated ICG to be superior in lymph node detection compared to isosulfan blue dye in patients with stage I endometrial or cervical cancer, an evaluation performed by Frumovitz and team [13]. Meanwhile, the study’s conclusions created a context for the FDA’s approval of ICG for lymph node mapping. NCCN guidelines mention sentinel lymph node mapping by ICG in cervical cancer patients, according to Koh et al. [14].
Anastomotic leakage remains among the most feared and challenging complications after colorectal resection. The etiology of leaks includes patient factors, technical factors, and anastomotic perfusion. The known etiology of leaks includes the following: different patient factors, technical factors, and anastomotic blood supply. An intact anastomotic irrigation pattern is particularly vital in the process of anastomotic healing. The air leak testing and intraoperative colonoscopy are methods that can be done to establish the anastomotic integrity intraoperatively. Among the major causes of anastomotic leakage is impaired vascularization and a minimal deficit in blood supply, both aspects being difficult to detect under white light. Fluorescence angiography with indocyanine green (ICG-FA) is employed in colorectal surgery in order to evaluate the blood supply in the area of an anastomosis. Studies with ICG-FA in open and laparoscopic interventions indicated a lower rate of anastomotic leakage; for example, the PILLAR II study reported a leakage rate of 1.4%. There were researches in this field, such as is the case of Carus and Pick [15] that reported impressive results in clinical outcome and patient prognosis. Likewise, the use of ICG-FA in the group of patients studied potentially led to a reduction of the leakage rate by 48%. Another systematic review from Blanco-Colino and Espin-Basany [16] looks at 1302 patients from five nonrandomized studies in which fluorescence imaging significantly decreased the anastomotic leak in cases operated on for colorectal cancer. Lower leak rates were found in rectal cancer surgery, as well (ICG 1.1% vs. non-ICG 6.1%; p = 0.02) (Figure 6).
X-ray angiography of the inferior mesenteric artery (IMA) with contrast media. Its supplies arterial blood to organs of hindgut-distal 1/3 of the transverse, splenic flexure, descending colon, sigmoid, rectum.
Indocyanine green fluorescence imaging can also be used as a potential tool for enhancing the accuracy of the staging of patients with primary colorectal cancer through the detection of sentinel lymph nodes. The search in electronic databases was performed and eligible data were taken from 248 patients in a review published by Emile et al. [17], which looked at the overall sensitivity and specificity of (ICG) (NIR) fluorescence in sentinel lymph node detection in colorectal cancer. The median values for the sensitivity, specificity, and accuracy rates were 73.7, 100, and 75.7, respectively. Other several studies, even though none was a prospective one, considered the ICG method feasible in colorectal cancer and also for lower rectal tumors, especially in order to detect the lymphatic drainage across the lateral lymph nodes, as studied by the teams of Nagata et al. [18], Kawahara et al. [19], Cahill et al. [20], and Liberale et al. [21]. Another method used in correctly and precisely identifying the lymph node involvement is one-step nucleic acid (OSNA), as it can offer a quick method of characterization of the lymph nodes. On the other hand, near-infrared (NIR) laparoscopy, together with indocyanine green (ICG), can identify relevant nodal tissue
A study performed by Vuijk et al. [23] looking at the lymph node involvement in gastrointestinal tumors assessed the sentinel lymph node technique with Nanocoll, and ICG- and CEA-targeted fluorescent imaging, and settled to the following conclusions: sentinel lymph node interventions in gastric cancer resections using indocyanine green (ICG) linked to Nanocoll outperformed normal ICG, but could not offer details on possible lymph node metastasis. Besides that aspect, the carcinoembryonic antigen (CEA)-targeted fluorescent imaging technique by using SGM-101 was successful in both pancreatic and colorectal cancers. A large phase III multicenter trial with the corresponding results would be able to complete the missing data.
Simultaneously, in which concerns lymph node invasion, the concept of ultrastaging appeared recently in the specific literature. Furthermore, studies were compiled, such as the one by Hirche et al. [24], in which regards ultrastaging of colon cancer by sentinel node biopsy using fluorescence navigation with ICG Overall, the ICG fluorescence technique found a mean of 1.7 sentinel lymph node (SLN) in 25 out of 26 patients (with a detection rate of 96%). Metastatic involvement of the SLN was detected in 9 out of 11 nodal positive patients by conventional histopathology. The sensitivity of the method was 82% in the case of colon carcinoma. The drawn conclusion of the abovementioned study was that the ICG fluorescence technique is a new but feasible method for SLNB of colon carcinoma and permits ultrastaging with improved accuracy, but with limited validity (so far) due to the small number of cases (Figures 7 and 8).
Colorectal cancer concept. Development of cancer from the colon or rectum to the whole large intestine. Stages of spreading tumor to the lymph nodes and vector flat illustration of other internal organs.
Metastatic colon carcinoma, in lymph node. Tumor component is on the left and lymphoid component is on the right, magnification 200×.
ICG is metabolized by the liver and accumulates in areas of slower bile metabolism, a situation that can be encountered in primary liver cancers and colorectal secondary determinations (metastases), as found by the teams of Peloso et al. [25] and van der Vorst [26]. A tumor cluster of cells as small as 200 tumor cells can be identified by ICG, allowing surgeons to find foci of a minimum of 1 mm, as it was shown by Ishizawa et al. [27]. The practical aspect of finding liver masses is that they have to be superficial, and the fluorescence methods can look at the maximum depth of infiltration of up to 10 mm. A combination of the application of intraoperative ultrasound and fluorescence techniques was shown to increase the identification rate of colorectal metastatic lesions, as it was researched by Kaibori et al. [28]. In patients suffering from liver fibrosis, nevertheless, areas that have a slow bile metabolism might give false-positive fluorescence. ICG fluorescence can be employed to qualitatively and quantitatively depict changes at a molecular and cellular level in the living organism, and to objectively display liver tumor information, to define hepatic tumor boundaries, and to detect residual tumors, achieving an intraoperative real time coloration and the successful navigation of the liver parenchyma in the targeted zone, as mentioned by Shizawa et al. [29]. A recent meta-analysis included studies on 587 patients showing that ICG fluorescence in the field of liver surgery does decrease operative time, blood loss, hospital stay, and postoperative complications if we are to mention a study done by Qi et al. [30]. As mentioned in subchapter 3.2.2 (ICG in liver surgery), the ICG fluorescence technique is for sure viewed as an intraoperative method that allows the detection of additional superficial hepatic metastases of colorectal cancer, a fact underlined by Liberale and team [31] in an article in which PubMed and Medline literature databases were searched for articles on the use of ICG in the setting of clinical studies on CRC (Figures 9 and 10).
Immunofluorescence of multiple human tumor metastatic cells growing in tissue culture for research purposes.
Human liver cancer cell growth. 3D illustration.
As previously shown in the previous subsections of the chapter, ICG fluorescence imaging is increasingly being used, tested, and documented in different areas of abdominal surgery. The constant improvement in the method and in the technological possibilities enables easy use and facilitates operative decision-making, also in robotically assisted colorectal surgery, as it is communicated in a study published by Vilz et al. [32]. Additional information offered there was that the first individual studies underlined an important reduction in the incidence of anastomotic leakage after colorectal anastomosis through the use of ICG fluorescence angiography (FA, 9.1% vs. 16.3%; p = 0.04). First feasibility research studies also emphasized lymph node detection or navigation, as well as the possibility to visualize the ureter (Figure 11).
Robotic surgery in the operation room.
In regard to tumor localization, ICG-coated endoscopic clips can bring a promising new technique, as seen in a study by Lee et al. [33]. The precise localization of a tumor before surgery is vital, more so in the early stages of cancer, and the amplitude of the surgical intervention must be established. The accurate localization of a colorectal lesion ensures proper margins for resection and prevents surgical removal of healthy segments of the colon; furthermore, it can reduce the duration of surgery and prevent unnecessary colon traction and tumor handling, which could result in dissemination of tumor cells. The method abovementioned involves placing endoscopic clips coated or mounted with near-infrared fluorescent material, such as ICG, at the lesion site and determining the location of the tumor by consequently detecting the fluorescent signal through the intestinal wall (through the use of a near-infrared laparoscope).
In a research by de Nardi and team [34], a randomized trial was formulated, involving 252 cases in which laparoscopic left-sided colon and rectal resection were performed. The algorithm randomized 1:1 to intraoperative ICG or to subjective visual evaluation of the bowel blood supply without ICG. The main results were the following: ICG angiography documented insufficient blood supply of the colic stump, which implied extended bowel resection in 13 cases (11%). In the control group, 11 patients (9%) had a fistula; meanwhile, in the study group, six patients (5%) developed one anastomotic leak (p = n.s.).
Based on the general elements reviewed, it was summed up that intraoperative ICG fluorescence angiography can efficiently find correctly the vasculature of the colic stump and anastomosis in situations when colorectal resection is performed.
Despite the fact that this method guided proximal bowel resection in 13 instances, the ICG arm did not find a statistically meaningful decrease in anastomotic bowel leak rate. Transanal ICG angiography has been shown to be both feasible and effective in imaging the mucosal and anastomotic blood supply in research conducted by Sherwinter [35]. Future research in a larger community of patients is needed to fully understand the technique’s potential to detect flaws in tissue perfusion that could lead to an anastomotic breakdown. Twenty patients with benign and malignant lesions underwent low anterior resection for the analysis. Indocyanine green (ICG) was injected through a peripheral iv catheter after the anastomosis was completed. Transanally, an endoscopic near-infrared imaging device (NIR) was used to test the blood supply at the level of the colon mucosa, the rectum, and the anastomotic staple axis (Figure 12).
Schematics of fluorescence angiography in the colorectal area.
The incidence of the incisional surgical site infections in colorectal surgery was reported between 5 and 26%. Surgical site infections (SSI) in an abdominoperineal resection (APR) appear more than in other types of interventions in the case of patients with colorectal cancer. Toshiyuki et al. [36] found that perineal wounds are the most vulnerable sites, and they may be triggered by stool contamination. Indocyanine green (ICG) fluorescence testing was employed as a marker of perineal wound contamination. The study had as a method to inject indocyanine green into the rectum transanally before the operation, and fluorescence images were obtained during the operation in patients who underwent APR. The findings, though sparse, are promising: one subject had an SSI after having no clear gross contamination, and a trace of ICG fluorescence was found in the perianal skin.
The other two cases were free of SSI, and skin treatment was carried out thoroughly before ICG contamination was removed in those cases.
Even after the normal antiseptic skin preparation, a trace of stool contamination can remain in the perineal skin area, according to the study’s findings.
Furthermore, careful skin preparation is needed and it is compulsory if we are to minimize stool contamination in APR subjects (Figure 13).
A perineal wound with infection and inflammation after colorectal surgery.
India ink has been largely used for preoperative colonic tattooing, but different complications have been reported. A study performed by Miyoshi et al. [37] looked at the surgical usefulness of ICG as an alternative to India ink for endoscopic marking and evaluated 40 patients between the time of ICG marking and the intervention, the median time period was 4 days (range, 1–73 days).
At the time of surgery, all 29 patients who were operated on within 8 days of tattooing stained positive in green with ICG dye.
Positive staining was clearly obviated in just two of the remaining 10 cases after 9 days or more.
The staining faded over time and finally vanished.
There was no mention of the dye’s perioperative side effects.
The authors concluded that this study supports the use of ICG as a safe approach that may be consistently detected within 8 days of endoscopic injection (Figure 14).
Colon polyp removal. Endoscope inside colonoscopy for colon polyps.
Efficacy of oral or rectal administration of indocyanine green solution. In a study realized by Sou et al. [38] whose objectives were to detect enterovesical occult microfistulas in patients with Crohn’s disease before the fistulas had become readily apparent, nonhazardous enteral administration of indocyanine green solution was performed. The methods that were used collected a total of 12 patients with Crohn’s disease who were suspected from their clinical manifestations of having enterovesical fistulas. Urine was collected and tested for contamination with indocyanine green by using a colorimeter to detect fistulas following oral or rectal administration of the indocyanine green solution. In addition, the efficacy of the indocyanine green test was compared to that of the “classical” X-ray sample.
The ICG test was positive in 11 of the 12 cases after either oral or rectal administration, resulting in a 92% correct diagnosis rate (11/12 patients).
The percentage of right diagnoses using an X-ray analysis, on the other hand, was just 17% (2/12 patients).
Furthermore, none of the eight patients with secret fistulas could be accurately diagnosed using an X-ray analysis, but all showed promising results when the indocyanine green approach was used.
The researchers concluded that the indocyanine green test had a 92% accuracy rate in diagnosing obscure fistulas and was highly diagnostic, while traditional examinations are often complicated and inaccurate (Figure 15).
Intraoperative macroscopic enterovesical fistula.
Peritoneal metastases can appear in 30–40% of patients with colorectal cancer and in a quarter of the patients might be the cause of death. ICG-guided surgery was able to detect additional lesions, and some studies reported up to 21.4% with a direct impact on modifying the surgical resection technique (Figure 16).
Extensive lesions of peritoneal carcinomatosis.
Fluorescence-assisted surgery using near-infrared (NIR) light is a relatively new technique.
To improve the visible spectrum, this technique uses a combination of dyes and NIR imaging equipment.
As a result, it may provide more detailed anatomic and functional details, allowing for a more complete resection of a neoplasm or the protection of essential normal structures. Indocyanine green fluorescence technique is a surgical tool with increasing perioperative and intraoperative applications in colorectal surgical interventions. In colorectal surgery, in particular, several studies have shown that intraoperative fluorescence imaging is a safe and feasible method to evaluate anastomotic perfusion, and its use might positively affect the patient’s clinical outcome by decreasing the incidence of anastomotic leaks. The number of virtual uses for indocyanine green is enhancing and developing, including new ways to detect and control colorectal metastases to the liver. All these advances expanded by the further evolution in time with more prospective trials could offer great information and value for both surgeons and patients, by improving the accuracy and outcomes of general surgery and surgical oncology.
The author declares no conflict of interest.
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Biosensors can detect the presence and measure the content of various toxic substances (pesticides, heavy metals, etc.) not only in water but also in food. Detection of contaminants, primarily heavy metals in water used in food production processes, is a potential area of biosensor application in the food industry. Biosensors can be adapted for direct and continuous (online) monitoring by measuring certain analytes that can affect the quality and safety of water. This chapter will give an overview of the development and application of biosensors in order to control the quality and safety of water from the standpoint of the presence of heavy metals.",book:{id:"7007",slug:"biosensors-for-environmental-monitoring",title:"Biosensors for Environmental Monitoring",fullTitle:"Biosensors for Environmental Monitoring"},signatures:"Amra Odobašić, Indira Šestan and Sabina Begić",authors:null},{id:"16445",doi:"10.5772/20154",title:"Biosensor for Environmental Applications",slug:"biosensor-for-environmental-applications",totalDownloads:11273,totalCrossrefCites:2,totalDimensionsCites:13,abstract:null,book:{id:"413",slug:"environmental-biosensors",title:"Environmental Biosensors",fullTitle:"Environmental Biosensors"},signatures:"Andrea Medeiros Salgado, Lívia Maria Silva and Ariana Farias Melo",authors:[{id:"37632",title:"Dr.",name:"Andrea",middleName:null,surname:"Medeiros Salgado",slug:"andrea-medeiros-salgado",fullName:"Andrea Medeiros Salgado"},{id:"37653",title:"Dr.",name:"Lívia Maria",middleName:"da Costa",surname:"Silva",slug:"livia-maria-silva",fullName:"Lívia Maria Silva"},{id:"37654",title:"Mr.",name:"Ariana",middleName:null,surname:"Farias Melo",slug:"ariana-farias-melo",fullName:"Ariana Farias Melo"}]},{id:"65873",doi:"10.5772/intechopen.84220",title:"Electrochemical Biosensors Containing Pure Enzymes or Crude Extracts as Enzyme Sources for Pesticides and Phenolic Compounds with Pharmacological Property Detection and Quantification",slug:"electrochemical-biosensors-containing-pure-enzymes-or-crude-extracts-as-enzyme-sources-for-pesticide",totalDownloads:1095,totalCrossrefCites:4,totalDimensionsCites:11,abstract:"Biosensors are chemical sensors in which the recognition system is based on a biochemical mechanism. They perform the specific component detection in a sample through an appropriate analytical signal. Enzyme-based biosensors are the most prominent biosensors because of their high specificity and selectivity; besides being an alternative to the common immunosensors, they are more expensive and present a limited binding capacity with the antigen depending on assay conditions. This chapter approaches the use of enzymes modified electrodes in amperometric biosensing application to detect and quantify pesticides and phenolic compounds with pharmacological properties, as they have been a promising analytical tool in environmental monitoring. These biosensors may be prepared from pure enzymes or their crude extracts. Pure enzyme-based biosensors present advantages as higher substrate specificity and selectivity when compared to crude extract enzymatic biosensors; nevertheless, the enzyme high costs are their drawbacks. Enzymatic crude extract biosensors show lower specificity due to the fact that they may contain more than one type of enzyme, but they may be obtained from low-cost fabrication methods. In addition, they can contain enzyme cofactors besides using the enzyme in its natural conformation.",book:{id:"7007",slug:"biosensors-for-environmental-monitoring",title:"Biosensors for Environmental Monitoring",fullTitle:"Biosensors for Environmental Monitoring"},signatures:"Flavio Colmati, Lívia Flório Sgobbi, Guilhermina Ferreira Teixeira, Ramon Silva Vilela, Tatiana Duque Martins and Giovanna Oliveira Figueiredo",authors:null},{id:"16449",doi:"10.5772/16250",title:"Biosensors Applications on Assessment of Reactive Oxygen Species and Antioxidants",slug:"biosensors-applications-on-assessment-of-reactive-oxygen-species-and-antioxidants",totalDownloads:2770,totalCrossrefCites:1,totalDimensionsCites:11,abstract:null,book:{id:"413",slug:"environmental-biosensors",title:"Environmental Biosensors",fullTitle:"Environmental Biosensors"},signatures:"Simona Carmen Litescu, Sandra A.V. 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Eremia"},{id:"24428",title:"BSc.",name:"Mirela",middleName:null,surname:"Diaconu",slug:"mirela-diaconu",fullName:"Mirela Diaconu"},{id:"24429",title:"Prof.",name:"Gabriel-Lucian",middleName:null,surname:"Radu",slug:"gabriel-lucian-radu",fullName:"Gabriel-Lucian Radu"},{id:"47095",title:"Ms",name:"Andreia",middleName:null,surname:"Tache",slug:"andreia-tache",fullName:"Andreia Tache"}]}],mostDownloadedChaptersLast30Days:[{id:"66031",title:"Biosensors for Determination of Heavy Metals in Waters",slug:"biosensors-for-determination-of-heavy-metals-in-waters",totalDownloads:2722,totalCrossrefCites:13,totalDimensionsCites:25,abstract:"Biosensors are nowadays a powerful alternative to conventional analytical techniques for controlling the quality of not only natural water but also process water used by the food industry during the production process, as well as wastewater prior to release into natural watercourses. The goal is to provide the required quality and safety of water from the standpoint of heavy metal contamination. The basic and most important characteristics of biosensors are high sensitivity, short response time, specificity, and relatively low production cost. Biosensors can detect the presence and measure the content of various toxic substances (pesticides, heavy metals, etc.) not only in water but also in food. Detection of contaminants, primarily heavy metals in water used in food production processes, is a potential area of biosensor application in the food industry. Biosensors can be adapted for direct and continuous (online) monitoring by measuring certain analytes that can affect the quality and safety of water. This chapter will give an overview of the development and application of biosensors in order to control the quality and safety of water from the standpoint of the presence of heavy metals.",book:{id:"7007",slug:"biosensors-for-environmental-monitoring",title:"Biosensors for Environmental Monitoring",fullTitle:"Biosensors for Environmental Monitoring"},signatures:"Amra Odobašić, Indira Šestan and Sabina Begić",authors:null},{id:"68700",title:"Principle and Development of Phage-Based Biosensors",slug:"principle-and-development-of-phage-based-biosensors",totalDownloads:1411,totalCrossrefCites:2,totalDimensionsCites:6,abstract:"Detection and identification of pathogenic bacteria is important in the field of public health, medicine, food safety, environmental monitoring and security. Worldwide, the common cause of mortality and morbidity is bacterial infection often due to misdiagnosis or delay in diagnosis. Existing bacterial detection methods rely on conventional culture or microscopic techniques and molecular methods that often time consuming, laborious and expensive, or need trained users. In recent years, biosensor remained an interesting topic for bacterial detection and many biosensors involving different bio-probes have been reported. Compared to antibodies, nucleic acids and enzymes etc., based biosensors, bacteriophages can be cheaply produced and are relatively much stable to elevated temperature, extreme pH, and diverse ionic strength. Therefore, there is an urgent need for phage-based biosensor for bacterial pathogen detection. Furthermore, bearing high affinity and specificity, bacteriophages are perfect bio-recognition probes in biosensor development for bacterial detection. In this regard, active and oriented phages immobilization is the key step toward phage-based biosensor development. This chapter compares different bacterial detection techniques, and introduces the basic of biosensor and different bio-probes involved in biosensor development. Further we highlight the involvement and importance of phages in biosensor and finally we briefed different phage immobilization approaches used in development of phage-based biosensors.",book:{id:"7007",slug:"biosensors-for-environmental-monitoring",title:"Biosensors for Environmental Monitoring",fullTitle:"Biosensors for Environmental Monitoring"},signatures:"Umer Farooq, Qiaoli Yang, Muhammad Wajid Ullah and Shenqi Wang",authors:null},{id:"69216",title:"Challenges and Applications of Impedance-Based Biosensors in Water Analysis",slug:"challenges-and-applications-of-impedance-based-biosensors-in-water-analysis",totalDownloads:1201,totalCrossrefCites:1,totalDimensionsCites:4,abstract:"Monitoring of the environment is a global priority due to the close connection between the environmental pollution and human health. Many analytical techniques using various methods have been developed to detect and monitor the levels of pollutants (pesticides, toxins, bacteria, drug residues, etc.) in natural water bodies. The latest trend in modern analysis is to measure pollutants in real-time in the field. For this purpose, biosensors have been employed as cost-effective and fast analytical techniques. Among biosensors, impedance biosensors have significant potential for use as simple and portable devices. These sensors involve application of a small amplitude AC voltage to the sensor electrode and measurement of the in-/out-of-phase current response as a function of frequency integrated with some biorecognition element on the sensing electrodes that can bind to the target, modifying the sensor electrical parameters. However, there are some drawbacks concerning their selectivity, stability, and reproducibility. The aim of this paper is to give a critical overview of literature published during the last decade based on the development issues of impedimetric biosensors and their applicability in water analysis.",book:{id:"7007",slug:"biosensors-for-environmental-monitoring",title:"Biosensors for Environmental Monitoring",fullTitle:"Biosensors for Environmental Monitoring"},signatures:"Kairi Kivirand, Mart Min and Toonika Rinken",authors:[{id:"24687",title:"Dr.",name:"Toonika",middleName:null,surname:"Rinken",slug:"toonika-rinken",fullName:"Toonika Rinken"},{id:"62780",title:"Prof.",name:"Mart",middleName:null,surname:"Min",slug:"mart-min",fullName:"Mart Min"},{id:"174179",title:"Dr.",name:"Kairi",middleName:null,surname:"Kivirand",slug:"kairi-kivirand",fullName:"Kairi Kivirand"}]},{id:"63693",title:"The Modeling, Design, Fabrication, and Application of Biosensor Based on Electric Cell-Substrate Impedance Sensing (ECIS) Technique in Environmental Monitoring",slug:"the-modeling-design-fabrication-and-application-of-biosensor-based-on-electric-cell-substrate-impeda",totalDownloads:1111,totalCrossrefCites:0,totalDimensionsCites:1,abstract:"In this research, the modeling, design, fabrication, and application of ECIS sensors in environmental monitoring are studied. The ECIS sensors are able to qualify the water toxicity through measuring the cell impedance. A novel mathematical model is proposed to analyze the distribution of electric potential and current of ECIS. This mathematical model is validated by experimental data and can be used to optimize the dimension of ECIS electrodes in order to satisfy environmental monitors. The detection sensitivity of ECIS sensors is analyzed by the mathematical model and experimental data. The simulated and experimental results show that ECIS sensors with smaller radius of working electrodes yield higher impedance values, which improves signal-to-noise ratio, which is more suitable in measuring the cell morphology change influenced by environments. Several ECIS sensors are used to detect the toxicant including, phenol, ammonia, nicotine, and aldicarb, and the decreasing cell impedance indicates the toxic effect. The gradient of measured impedance qualitatively indicates the concentration of toxicants in water.",book:{id:"7007",slug:"biosensors-for-environmental-monitoring",title:"Biosensors for Environmental Monitoring",fullTitle:"Biosensors for Environmental Monitoring"},signatures:"Xudong Zhang, William Wang and Sunghoon Jang",authors:null},{id:"65873",title:"Electrochemical Biosensors Containing Pure Enzymes or Crude Extracts as Enzyme Sources for Pesticides and Phenolic Compounds with Pharmacological Property Detection and Quantification",slug:"electrochemical-biosensors-containing-pure-enzymes-or-crude-extracts-as-enzyme-sources-for-pesticide",totalDownloads:1093,totalCrossrefCites:4,totalDimensionsCites:11,abstract:"Biosensors are chemical sensors in which the recognition system is based on a biochemical mechanism. They perform the specific component detection in a sample through an appropriate analytical signal. Enzyme-based biosensors are the most prominent biosensors because of their high specificity and selectivity; besides being an alternative to the common immunosensors, they are more expensive and present a limited binding capacity with the antigen depending on assay conditions. This chapter approaches the use of enzymes modified electrodes in amperometric biosensing application to detect and quantify pesticides and phenolic compounds with pharmacological properties, as they have been a promising analytical tool in environmental monitoring. These biosensors may be prepared from pure enzymes or their crude extracts. Pure enzyme-based biosensors present advantages as higher substrate specificity and selectivity when compared to crude extract enzymatic biosensors; nevertheless, the enzyme high costs are their drawbacks. Enzymatic crude extract biosensors show lower specificity due to the fact that they may contain more than one type of enzyme, but they may be obtained from low-cost fabrication methods. In addition, they can contain enzyme cofactors besides using the enzyme in its natural conformation.",book:{id:"7007",slug:"biosensors-for-environmental-monitoring",title:"Biosensors for Environmental Monitoring",fullTitle:"Biosensors for Environmental Monitoring"},signatures:"Flavio Colmati, Lívia Flório Sgobbi, Guilhermina Ferreira Teixeira, Ramon Silva Vilela, Tatiana Duque Martins and Giovanna Oliveira Figueiredo",authors:null}],onlineFirstChaptersFilter:{topicId:"137",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},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:90,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:320,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:133,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:107,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:16,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{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"}}}},{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"}}}}]},series:{item:{id:"14",title:"Artificial Intelligence",doi:"10.5772/intechopen.79920",issn:"2633-1403",scope:"Artificial Intelligence (AI) is a rapidly developing multidisciplinary research area that aims to solve increasingly complex problems. In today's highly integrated world, AI promises to become a robust and powerful means for obtaining solutions to previously unsolvable problems. This Series is intended for researchers and students alike interested in this fascinating field and its many applications.",coverUrl:"https://cdn.intechopen.com/series/covers/14.jpg",latestPublicationDate:"July 5th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:9,editor:{id:"218714",title:"Prof.",name:"Andries",middleName:null,surname:"Engelbrecht",slug:"andries-engelbrecht",fullName:"Andries Engelbrecht",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRNR8QAO/Profile_Picture_1622640468300",biography:"Andries Engelbrecht received the Masters and PhD degrees in Computer Science from the University of Stellenbosch, South Africa, in 1994 and 1999 respectively. He is currently appointed as the Voigt Chair in Data Science in the Department of Industrial Engineering, with a joint appointment as Professor in the Computer Science Division, Stellenbosch University. Prior to his appointment at Stellenbosch University, he has been at the University of Pretoria, Department of Computer Science (1998-2018), where he was appointed as South Africa Research Chair in Artifical Intelligence (2007-2018), the head of the Department of Computer Science (2008-2017), and Director of the Institute for Big Data and Data Science (2017-2018). In addition to a number of research articles, he has written two books, Computational Intelligence: An Introduction and Fundamentals of Computational Swarm Intelligence.",institutionString:null,institution:{name:"Stellenbosch University",institutionURL:null,country:{name:"South Africa"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:6,paginationItems:[{id:"22",title:"Applied Intelligence",coverUrl:"https://cdn.intechopen.com/series_topics/covers/22.jpg",isOpenForSubmission:!0,annualVolume:11418,editor:{id:"27170",title:"Prof.",name:"Carlos",middleName:"M.",surname:"Travieso-Gonzalez",slug:"carlos-travieso-gonzalez",fullName:"Carlos Travieso-Gonzalez",profilePictureURL:"https://mts.intechopen.com/storage/users/27170/images/system/27170.jpeg",biography:"Carlos M. Travieso-González received his MSc degree in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain in 1997, and his Ph.D. degree in 2002 at the University of Las Palmas de Gran Canaria (ULPGC-Spain). He is a full professor of signal processing and pattern recognition and is head of the Signals and Communications Department at ULPGC, teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 52 international and Spanish research projects, some of them as head researcher. He is co-author of 4 books, co-editor of 27 proceedings books, guest editor for 8 JCR-ISI international journals, and up to 24 book chapters. He has over 450 papers published in international journals and conferences (81 of them indexed on JCR – ISI - Web of Science). He has published seven patents in the Spanish Patent and Trademark Office. He has been a supervisor on 8 Ph.D. theses (11 more are under supervision), and 130 master theses. He is the founder of The IEEE IWOBI conference series and the president of its Steering Committee, as well as the founder of both the InnoEducaTIC and APPIS conference series. He is an evaluator of project proposals for the European Union (H2020), Medical Research Council (MRC, UK), Spanish Government (ANECA, Spain), Research National Agency (ANR, France), DAAD (Germany), Argentinian Government, and the Colombian Institutions. He has been a reviewer in different indexed international journals (<70) and conferences (<250) since 2001. He has been a member of the IASTED Technical Committee on Image Processing from 2007 and a member of the IASTED Technical Committee on Artificial Intelligence and Expert Systems from 2011. \n\nHe has held the general chair position for the following: ACM-APPIS (2020, 2021), IEEE-IWOBI (2019, 2020 and 2020), A PPIS (2018, 2019), IEEE-IWOBI (2014, 2015, 2017, 2018), InnoEducaTIC (2014, 2017), IEEE-INES (2013), NoLISP (2011), JRBP (2012), and IEEE-ICCST (2005)\n\nHe is an associate editor of the Computational Intelligence and Neuroscience Journal (Hindawi – Q2 JCR-ISI). He was vice dean from 2004 to 2010 in the Higher Technical School of Telecommunication Engineers at ULPGC and the vice dean of Graduate and Postgraduate Studies from March 2013 to November 2017. He won the “Catedra Telefonica” Awards in Modality of Knowledge Transfer, 2017, 2018, and 2019 editions, and awards in Modality of COVID Research in 2020.\n\nPublic References:\nResearcher ID http://www.researcherid.com/rid/N-5967-2014\nORCID https://orcid.org/0000-0002-4621-2768 \nScopus Author ID https://www.scopus.com/authid/detail.uri?authorId=6602376272\nScholar Google https://scholar.google.es/citations?user=G1ks9nIAAAAJ&hl=en \nResearchGate https://www.researchgate.net/profile/Carlos_Travieso",institutionString:null,institution:{name:"University of Las Palmas de Gran Canaria",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"23",title:"Computational Neuroscience",coverUrl:"https://cdn.intechopen.com/series_topics/covers/23.jpg",isOpenForSubmission:!0,annualVolume:11419,editor:{id:"14004",title:"Dr.",name:"Magnus",middleName:null,surname:"Johnsson",slug:"magnus-johnsson",fullName:"Magnus Johnsson",profilePictureURL:"https://mts.intechopen.com/storage/users/14004/images/system/14004.png",biography:"Dr Magnus Johnsson is a cross-disciplinary scientist, lecturer, scientific editor and AI/machine learning consultant from Sweden. \n\nHe is currently at Malmö University in Sweden, but also held positions at Lund University in Sweden and at Moscow Engineering Physics Institute. \nHe holds editorial positions at several international scientific journals and has served as a scientific editor for books and special journal issues. \nHis research interests are wide and include, but are not limited to, autonomous systems, computer modeling, artificial neural networks, artificial intelligence, cognitive neuroscience, cognitive robotics, cognitive architectures, cognitive aids and the philosophy of mind. \n\nDr. Johnsson has experience from working in the industry and he has a keen interest in the application of neural networks and artificial intelligence to fields like industry, finance, and medicine. \n\nWeb page: www.magnusjohnsson.se",institutionString:null,institution:{name:"Malmö University",institutionURL:null,country:{name:"Sweden"}}},editorTwo:null,editorThree:null},{id:"24",title:"Computer Vision",coverUrl:"https://cdn.intechopen.com/series_topics/covers/24.jpg",isOpenForSubmission:!0,annualVolume:11420,editor:{id:"294154",title:"Prof.",name:"George",middleName:null,surname:"Papakostas",slug:"george-papakostas",fullName:"George Papakostas",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002hYaGbQAK/Profile_Picture_1624519712088",biography:"George A. Papakostas has received a diploma in Electrical and Computer Engineering in 1999 and the M.Sc. and Ph.D. degrees in Electrical and Computer Engineering in 2002 and 2007, respectively, from the Democritus University of Thrace (DUTH), Greece. Dr. Papakostas serves as a Tenured Full Professor at the Department of Computer Science, International Hellenic University, Greece. Dr. Papakostas has 10 years of experience in large-scale systems design as a senior software engineer and technical manager, and 20 years of research experience in the field of Artificial Intelligence. Currently, he is the Head of the “Visual Computing” division of HUman-MAchines INteraction Laboratory (HUMAIN-Lab) and the Director of the MPhil program “Advanced Technologies in Informatics and Computers” hosted by the Department of Computer Science, International Hellenic University. He has (co)authored more than 150 publications in indexed journals, international conferences and book chapters, 1 book (in Greek), 3 edited books, and 5 journal special issues. His publications have more than 2100 citations with h-index 27 (GoogleScholar). His research interests include computer/machine vision, machine learning, pattern recognition, computational intelligence. \nDr. Papakostas served as a reviewer in numerous journals, as a program\ncommittee member in international conferences and he is a member of the IAENG, MIR Labs, EUCogIII, INSTICC and the Technical Chamber of Greece (TEE).",institutionString:null,institution:{name:"International Hellenic University",institutionURL:null,country:{name:"Greece"}}},editorTwo:null,editorThree:null},{id:"25",title:"Evolutionary Computation",coverUrl:"https://cdn.intechopen.com/series_topics/covers/25.jpg",isOpenForSubmission:!0,annualVolume:11421,editor:{id:"136112",title:"Dr.",name:"Sebastian",middleName:null,surname:"Ventura Soto",slug:"sebastian-ventura-soto",fullName:"Sebastian Ventura Soto",profilePictureURL:"https://mts.intechopen.com/storage/users/136112/images/system/136112.png",biography:"Sebastian Ventura is a Spanish researcher, a full professor with the Department of Computer Science and Numerical Analysis, University of Córdoba. Dr Ventura also holds the positions of Affiliated Professor at Virginia Commonwealth University (Richmond, USA) and Distinguished Adjunct Professor at King Abdulaziz University (Jeddah, Saudi Arabia). Additionally, he is deputy director of the Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI) and heads the Knowledge Discovery and Intelligent Systems Research Laboratory. He has published more than ten books and over 300 articles in journals and scientific conferences. Currently, his work has received over 18,000 citations according to Google Scholar, including more than 2200 citations in 2020. In the last five years, he has published more than 60 papers in international journals indexed in the JCR (around 70% of them belonging to first quartile journals) and he has edited some Springer books “Supervised Descriptive Pattern Mining” (2018), “Multiple Instance Learning - Foundations and Algorithms” (2016), and “Pattern Mining with Evolutionary Algorithms” (2016). He has also been involved in more than 20 research projects supported by the Spanish and Andalusian governments and the European Union. He currently belongs to the editorial board of PeerJ Computer Science, Information Fusion and Engineering Applications of Artificial Intelligence journals, being also associate editor of Applied Computational Intelligence and Soft Computing and IEEE Transactions on Cybernetics. Finally, he is editor-in-chief of Progress in Artificial Intelligence. He is a Senior Member of the IEEE Computer, the IEEE Computational Intelligence, and the IEEE Systems, Man, and Cybernetics Societies, and the Association of Computing Machinery (ACM). Finally, his main research interests include data science, computational intelligence, and their applications.",institutionString:null,institution:{name:"University of Córdoba",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"26",title:"Machine Learning and Data Mining",coverUrl:"https://cdn.intechopen.com/series_topics/covers/26.jpg",isOpenForSubmission:!0,annualVolume:11422,editor:{id:"24555",title:"Dr.",name:"Marco Antonio",middleName:null,surname:"Aceves Fernandez",slug:"marco-antonio-aceves-fernandez",fullName:"Marco Antonio Aceves Fernandez",profilePictureURL:"https://mts.intechopen.com/storage/users/24555/images/system/24555.jpg",biography:"Dr. Marco Antonio Aceves Fernandez obtained his B.Sc. (Eng.) in Telematics from the Universidad de Colima, Mexico. He obtained both his M.Sc. and Ph.D. from the University of Liverpool, England, in the field of Intelligent Systems. He is a full professor at the Universidad Autonoma de Queretaro, Mexico, and a member of the National System of Researchers (SNI) since 2009. Dr. Aceves Fernandez has published more than 80 research papers as well as a number of book chapters and congress papers. He has contributed in more than 20 funded research projects, both academic and industrial, in the area of artificial intelligence, ranging from environmental, biomedical, automotive, aviation, consumer, and robotics to other applications. He is also a honorary president at the National Association of Embedded Systems (AMESE), a senior member of the IEEE, and a board member of many institutions. His research interests include intelligent and embedded systems.",institutionString:"Universidad Autonoma de Queretaro",institution:{name:"Autonomous University of Queretaro",institutionURL:null,country:{name:"Mexico"}}},editorTwo:null,editorThree:null},{id:"27",title:"Multi-Agent Systems",coverUrl:"https://cdn.intechopen.com/series_topics/covers/27.jpg",isOpenForSubmission:!0,annualVolume:11423,editor:{id:"148497",title:"Dr.",name:"Mehmet",middleName:"Emin",surname:"Aydin",slug:"mehmet-aydin",fullName:"Mehmet Aydin",profilePictureURL:"https://mts.intechopen.com/storage/users/148497/images/system/148497.jpg",biography:"Dr. Mehmet Emin Aydin is a Senior Lecturer with the Department of Computer Science and Creative Technology, the University of the West of England, Bristol, UK. His research interests include swarm intelligence, parallel and distributed metaheuristics, machine learning, intelligent agents and multi-agent systems, resource planning, scheduling and optimization, combinatorial optimization. Dr. Aydin is currently a Fellow of Higher Education Academy, UK, a member of EPSRC College, a senior member of IEEE and a senior member of ACM. In addition to being a member of advisory committees of many international conferences, he is an Editorial Board Member of various peer-reviewed international journals. He has served as guest editor for a number of special issues of peer-reviewed international journals.",institutionString:null,institution:{name:"University of the West of England",institutionURL:null,country:{name:"United Kingdom"}}},editorTwo:null,editorThree:null}]},overviewPageOFChapters:{paginationCount:10,paginationItems:[{id:"82380",title:"Evolution of Parasitism and Pathogenic Adaptations in Certain Medically Important Fungi",doi:"10.5772/intechopen.105206",signatures:"Gokul Shankar Sabesan, Ranjit Singh AJA, Ranjith Mehenderkar and Basanta Kumar Mohanty",slug:"evolution-of-parasitism-and-pathogenic-adaptations-in-certain-medically-important-fungi",totalDownloads:6,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Fungal Infectious Diseases - Annual Volume 2022",coverURL:"https://cdn.intechopen.com/books/images_new/11400.jpg",subseries:{id:"4",title:"Fungal Infectious Diseases"}}},{id:"82367",title:"Spatial Variation and Factors Associated with Unsuppressed HIV Viral Load among Women in an HIV Hyperendemic Area of KwaZulu-Natal, South Africa",doi:"10.5772/intechopen.105547",signatures:"Adenike O. Soogun, Ayesha B.M. Kharsany, Temesgen Zewotir and Delia North",slug:"spatial-variation-and-factors-associated-with-unsuppressed-hiv-viral-load-among-women-in-an-hiv-hype",totalDownloads:12,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"HIV-AIDS - Updates, Perspectives and Applications",coverURL:"https://cdn.intechopen.com/books/images_new/11575.jpg",subseries:{id:"6",title:"Viral Infectious Diseases"}}},{id:"82193",title:"Enterococcal Infections: Recent Nomenclature and emerging trends",doi:"10.5772/intechopen.104792",signatures:"Kavita Raja",slug:"enterococcal-infections-recent-nomenclature-and-emerging-trends",totalDownloads:7,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Streptococcal Infections",coverURL:"https://cdn.intechopen.com/books/images_new/10828.jpg",subseries:{id:"3",title:"Bacterial Infectious Diseases"}}},{id:"82207",title:"Management Strategies in Perinatal HIV",doi:"10.5772/intechopen.105451",signatures:"Kayla Aleshire and Rima Bazzi",slug:"management-strategies-in-perinatal-hiv",totalDownloads:8,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"HIV-AIDS - Updates, Perspectives and Applications",coverURL:"https://cdn.intechopen.com/books/images_new/11575.jpg",subseries:{id:"6",title:"Viral Infectious Diseases"}}}]},overviewPagePublishedBooks:{paginationCount:13,paginationItems:[{type:"book",id:"6667",title:"Influenza",subtitle:"Therapeutics and Challenges",coverURL:"https://cdn.intechopen.com/books/images_new/6667.jpg",slug:"influenza-therapeutics-and-challenges",publishedDate:"September 19th 2018",editedByType:"Edited by",bookSignature:"Shailendra K. Saxena",hash:"105e347b2d5dbbe6b593aceffa051efa",volumeInSeries:1,fullTitle:"Influenza - Therapeutics and Challenges",editors:[{id:"158026",title:"Prof.",name:"Shailendra K.",middleName:null,surname:"Saxena",slug:"shailendra-k.-saxena",fullName:"Shailendra K. Saxena",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRET3QAO/Profile_Picture_2022-05-10T10:10:26.jpeg",biography:"Professor Dr. Shailendra K. Saxena is a vice dean and professor at King George's Medical University, Lucknow, India. His research interests involve understanding the molecular mechanisms of host defense during human viral infections and developing new predictive, preventive, and therapeutic strategies for them using Japanese encephalitis virus (JEV), HIV, and emerging viruses as a model via stem cell and cell culture technologies. 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. 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He has both an MS and Ph.D. in Biomedical Engineering. He was previously a research scientist at the University of California Los Angeles (UCLA) and visiting professor and researcher at the University of North Dakota. He is currently working in artificial intelligence and its applications in medical signal processing. In addition, he is using digital signal processing in medical imaging and speech processing. Dr. Asadpour has developed brain-computer interfacing algorithms and has published books, book chapters, and several journal and conference papers in this field and other areas of intelligent signal processing. He has also designed medical devices, including a laser Doppler monitoring system.",institutionString:"Kaiser Permanente Southern California",institution:null},{id:"169608",title:"Prof.",name:"Marian",middleName:null,surname:"Găiceanu",slug:"marian-gaiceanu",fullName:"Marian Găiceanu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/169608/images/system/169608.png",biography:"Prof. Dr. Marian Gaiceanu graduated from the Naval and Electrical Engineering Faculty, Dunarea de Jos University of Galati, Romania, in 1997. He received a Ph.D. (Magna Cum Laude) in Electrical Engineering in 2002. Since 2017, Dr. Gaiceanu has been a Ph.D. supervisor for students in Electrical Engineering. He has been employed at Dunarea de Jos University of Galati since 1996, where he is currently a professor. Dr. Gaiceanu is a member of the National Council for Attesting Titles, Diplomas and Certificates, an expert of the Executive Agency for Higher Education, Research Funding, and a member of the Senate of the Dunarea de Jos University of Galati. He has been the head of the Integrated Energy Conversion Systems and Advanced Control of Complex Processes Research Center, Romania, since 2016. He has conducted several projects in power converter systems for electrical drives, power quality, PEM and SOFC fuel cell power converters for utilities, electric vehicles, and marine applications with the Department of Regulation and Control, SIEI S.pA. (2002–2004) and the Polytechnic University of Turin, Italy (2002–2004, 2006–2007). He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and cofounder-member of the IEEE Power Electronics Romanian Chapter. He is a guest editor at Energies and an academic book editor for IntechOpen. He is also a member of the editorial boards of the Journal of Electrical Engineering, Electronics, Control and Computer Science and Sustainability. Dr. Gaiceanu has been General Chairman of the IEEE International Symposium on Electrical and Electronics Engineering in the last six editions.",institutionString:'"Dunarea de Jos" University of Galati',institution:{name:'"Dunarea de Jos" University of Galati',country:{name:"Romania"}}},{id:"4519",title:"Prof.",name:"Jaydip",middleName:null,surname:"Sen",slug:"jaydip-sen",fullName:"Jaydip Sen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/4519/images/system/4519.jpeg",biography:"Jaydip Sen is associated with Praxis Business School, Kolkata, India, as a professor in the Department of Data Science. His research areas include security and privacy issues in computing and communication, intrusion detection systems, machine learning, deep learning, and artificial intelligence in the financial domain. He has more than 200 publications in reputed international journals, refereed conference proceedings, and 20 book chapters in books published by internationally renowned publishing houses, such as Springer, CRC press, IGI Global, etc. Currently, he is serving on the editorial board of the prestigious journal Frontiers in Communications and Networks and in the technical program committees of a number of high-ranked international conferences organized by the IEEE, USA, and the ACM, USA. He has been listed among the top 2% of scientists in the world for the last three consecutive years, 2019 to 2021 as per studies conducted by the Stanford University, USA.",institutionString:"Praxis Business School",institution:null},{id:"320071",title:"Dr.",name:"Sidra",middleName:null,surname:"Mehtab",slug:"sidra-mehtab",fullName:"Sidra Mehtab",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00002v6KHoQAM/Profile_Picture_1584512086360",biography:"Sidra Mehtab has completed her BS with honors in Physics from Calcutta University, India in 2018. She has done MS in Data Science and Analytics from Maulana Abul Kalam Azad University of Technology (MAKAUT), Kolkata, India in 2020. Her research areas include Econometrics, Time Series Analysis, Machine Learning, Deep Learning, Artificial Intelligence, and Computer and Network Security with a particular focus on Cyber Security Analytics. Ms. Mehtab has published seven papers in international conferences and one of her papers has been accepted for publication in a reputable international journal. She has won the best paper awards in two prestigious international conferences – BAICONF 2019, and ICADCML 2021, organized in the Indian Institute of Management, Bangalore, India in December 2019, and SOA University, Bhubaneswar, India in January 2021. Besides, Ms. Mehtab has also published two book chapters in two books. Seven of her book chapters will be published in a volume shortly in 2021 by Cambridge Scholars’ Press, UK. Currently, she is working as the joint editor of two edited volumes on Time Series Analysis and Forecasting to be published in the first half of 2021 by an international house. Currently, she is working as a Data Scientist with an MNC in Delhi, India.",institutionString:"NSHM College of Management and Technology",institution:null},{id:"226240",title:"Dr.",name:"Andri Irfan",middleName:null,surname:"Rifai",slug:"andri-irfan-rifai",fullName:"Andri Irfan Rifai",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/226240/images/7412_n.jpg",biography:"Andri IRFAN is a Senior Lecturer of Civil Engineering and Planning. He completed the PhD at the Universitas Indonesia & Universidade do Minho with Sandwich Program Scholarship from the Directorate General of Higher Education and LPDP scholarship. He has been teaching for more than 19 years and much active to applied his knowledge in the project construction in Indonesia. His research interest ranges from pavement management system to advanced data mining techniques for transportation engineering. He has published more than 50 papers in journals and 2 books.",institutionString:null,institution:{name:"Universitas Internasional Batam",country:{name:"Indonesia"}}},{id:"314576",title:"Dr.",name:"Ibai",middleName:null,surname:"Laña",slug:"ibai-lana",fullName:"Ibai Laña",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314576/images/system/314576.jpg",biography:"Dr. Ibai Laña works at TECNALIA as a data analyst. He received his Ph.D. in Artificial Intelligence from the University of the Basque Country (UPV/EHU), Spain, in 2018. He is currently a senior researcher at TECNALIA. His research interests fall within the intersection of intelligent transportation systems, machine learning, traffic data analysis, and data science. He has dealt with urban traffic forecasting problems, applying machine learning models and evolutionary algorithms. He has experience in origin-destination matrix estimation or point of interest and trajectory detection. Working with large volumes of data has given him a good command of big data processing tools and NoSQL databases. He has also been a visiting scholar at the Knowledge Engineering and Discovery Research Institute, Auckland University of Technology.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"314575",title:"Dr.",name:"Jesus",middleName:null,surname:"L. Lobo",slug:"jesus-l.-lobo",fullName:"Jesus L. Lobo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314575/images/system/314575.png",biography:"Dr. Jesús López is currently based in Bilbao (Spain) working at TECNALIA as Artificial Intelligence Research Scientist. In most cases, a project idea or a new research line needs to be investigated to see if it is good enough to take into production or to focus on it. That is exactly what he does, diving into Machine Learning algorithms and technologies to help TECNALIA to decide whether something is great in theory or will actually impact on the product or processes of its projects. So, he is expert at framing experiments, developing hypotheses, and proving whether they’re true or not, in order to investigate fundamental problems with a longer time horizon. He is also able to design and develop PoCs and system prototypes in simulation. He has participated in several national and internacional R&D projects.\n\nAs another relevant part of his everyday research work, he usually publishes his findings in reputed scientific refereed journals and international conferences, occasionally acting as reviewer and Programme Commitee member. Concretely, since 2018 he has published 9 JCR (8 Q1) journal papers, 9 conference papers (e.g. ECML PKDD 2021), and he has co-edited a book. He is also active in popular science writing data science stories for reputed blogs (KDNuggets, TowardsDataScience, Naukas). Besides, he has recently embarked on mentoring programmes as mentor, and has also worked as data science trainer.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"103779",title:"Prof.",name:"Yalcin",middleName:null,surname:"Isler",slug:"yalcin-isler",fullName:"Yalcin Isler",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRyQ8QAK/Profile_Picture_1628834958734",biography:"Yalcin Isler (1971 - Burdur / Turkey) received the B.Sc. degree in the Department of Electrical and Electronics Engineering from Anadolu University, Eskisehir, Turkey, in 1993, the M.Sc. degree from the Department of Electronics and Communication Engineering, Suleyman Demirel University, Isparta, Turkey, in 1996, the Ph.D. degree from the Department of Electrical and Electronics Engineering, Dokuz Eylul University, Izmir, Turkey, in 2009, and the Competence of Associate Professorship from the Turkish Interuniversity Council in 2019.\n\nHe was Lecturer at Burdur Vocational School in Suleyman Demirel University (1993-2000, Burdur / Turkey), Software Engineer (2000-2002, Izmir / Turkey), Research Assistant in Bulent Ecevit University (2002-2003, Zonguldak / Turkey), Research Assistant in Dokuz Eylul University (2003-2010, Izmir / Turkey), Assistant Professor at the Department of Electrical and Electronics Engineering in Bulent Ecevit University (2010-2012, Zonguldak / Turkey), Assistant Professor at the Department of Biomedical Engineering in Izmir Katip Celebi University (2012-2019, Izmir / Turkey). He is an Associate Professor at the Department of Biomedical Engineering at Izmir Katip Celebi University, Izmir / Turkey, since 2019. In addition to academics, he has also founded Islerya Medical and Information Technologies Company, Izmir / Turkey, since 2017.\n\nHis main research interests cover biomedical signal processing, pattern recognition, medical device design, programming, and embedded systems. He has many scientific papers and participated in several projects in these study fields. He was an IEEE Student Member (2009-2011) and IEEE Member (2011-2014) and has been IEEE Senior Member since 2014.",institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"339677",title:"Dr.",name:"Mrinmoy",middleName:null,surname:"Roy",slug:"mrinmoy-roy",fullName:"Mrinmoy Roy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/339677/images/16768_n.jpg",biography:"An accomplished Sales & Marketing professional with 12 years of cross-functional experience in well-known organisations such as CIPLA, LUPIN, GLENMARK, ASTRAZENECA across different segment of Sales & Marketing, International Business, Institutional Business, Product Management, Strategic Marketing of HIV, Oncology, Derma, Respiratory, Anti-Diabetic, Nutraceutical & Stomatological Product Portfolio and Generic as well as Chronic Critical Care Portfolio. A First Class MBA in International Business & Strategic Marketing, B.Pharm, D.Pharm, Google Certified Digital Marketing Professional. Qualified PhD Candidate in Operations and Management with special focus on Artificial Intelligence and Machine Learning adoption, analysis and use in Healthcare, Hospital & Pharma Domain. Seasoned with diverse therapy area of Pharmaceutical Sales & Marketing ranging from generating revenue through generating prescriptions, launching new products, and making them big brands with continuous strategy execution at the Physician and Patients level. Moved from Sales to Marketing and Business Development for 3.5 years in South East Asian Market operating from Manila, Philippines. Came back to India and handled and developed Brands such as Gluconorm, Lupisulin, Supracal, Absolut Woman, Hemozink, Fabiflu (For COVID 19), and many more. In my previous assignment I used to develop and execute strategies on Sales & Marketing, Commercialization & Business Development for Institution and Corporate Hospital Business portfolio of Oncology Therapy Area for AstraZeneca Pharma India Ltd. Being a Research Scholar and Student of ‘Operations Research & Management: Artificial Intelligence’ I published several pioneer research papers and book chapters on the same in Internationally reputed journals and Books indexed in Scopus, Springer and Ei Compendex, Google Scholar etc. Currently, I am launching PGDM Pharmaceutical Management Program in IIHMR Bangalore and spearheading the course curriculum and structure of the same. I am interested in Collaboration for Healthcare Innovation, Pharma AI Innovation, Future trend in Marketing and Management with incubation on Healthcare, Healthcare IT startups, AI-ML Modelling and Healthcare Algorithm based training module development. I am also an affiliated member of the Institute of Management Consultant of India, looking forward to Healthcare, Healthcare IT and Innovation, Pharma and Hospital Management Consulting works.",institutionString:null,institution:{name:"Lovely Professional University",country:{name:"India"}}},{id:"310576",title:"Prof.",name:"Erick Giovani",middleName:null,surname:"Sperandio Nascimento",slug:"erick-giovani-sperandio-nascimento",fullName:"Erick Giovani Sperandio Nascimento",position:null,profilePictureURL:"https://intech-files.s3.amazonaws.com/0033Y00002pDKxDQAW/ProfilePicture%202022-06-20%2019%3A57%3A24.788",biography:"Prof. Erick Sperandio is the Lead Researcher and professor of Artificial Intelligence (AI) at SENAI CIMATEC, Bahia, Brazil, also working with Computational Modeling (CM) and HPC. He holds a PhD in Environmental Engineering in the area of Atmospheric Computational Modeling, a Master in Informatics in the field of Computational Intelligence and Graduated in Computer Science from UFES. He currently coordinates, leads and participates in R&D projects in the areas of AI, computational modeling and supercomputing applied to different areas such as Oil and Gas, Health, Advanced Manufacturing, Renewable Energies and Atmospheric Sciences, advising undergraduate, master's and doctoral students. He is the Lead Researcher at SENAI CIMATEC's Reference Center on Artificial Intelligence. In addition, he is a Certified Instructor and University Ambassador of the NVIDIA Deep Learning Institute (DLI) in the areas of Deep Learning, Computer Vision, Natural Language Processing and Recommender Systems, and Principal Investigator of the NVIDIA/CIMATEC AI Joint Lab, the first in Latin America within the NVIDIA AI Technology Center (NVAITC) worldwide program. He also works as a researcher at the Supercomputing Center for Industrial Innovation (CS2i) and at the SENAI Institute of Innovation for Automation (ISI Automação), both from SENAI CIMATEC. He is a member and vice-coordinator of the Basic Board of Scientific-Technological Advice and Evaluation, in the area of Innovation, of the Foundation for Research Support of the State of Bahia (FAPESB). He serves as Technology Transfer Coordinator and one of the Principal Investigators at the National Applied Research Center in Artificial Intelligence (CPA-IA) of SENAI CIMATEC, focusing on Industry, being one of the six CPA-IA in Brazil approved by MCTI / FAPESP / CGI.br. He also participates as one of the representatives of Brazil in the BRICS Innovation Collaboration Working Group on HPC, ICT and AI. He is the coordinator of the Work Group of the Axis 5 - Workforce and Training - of the Brazilian Strategy for Artificial Intelligence (EBIA), and member of the MCTI/EMBRAPII AI Innovation Network Training Committee. He is the coordinator, by SENAI CIMATEC, of the Artificial Intelligence Reference Network of the State of Bahia (REDE BAH.IA). He leads the working group of experts representing Brazil in the Global Partnership on Artificial Intelligence (GPAI), on the theme \"AI and the Pandemic Response\".",institutionString:"Manufacturing and Technology Integrated Campus – SENAI CIMATEC",institution:null},{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1063/images/system/1063.png",biography:"Prof. Dr. Constantin Voloşencu graduated as an engineer from\nPolitehnica University of Timișoara, Romania, where he also\nobtained a doctorate degree. He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. He has developed automation equipment for machine tools, spooling\nmachines, high-power ultrasound processes, and more.",institutionString:"Polytechnic University of Timişoara",institution:{name:"Polytechnic University of Timişoara",country:{name:"Romania"}}},{id:"221364",title:"Dr.",name:"Eneko",middleName:null,surname:"Osaba",slug:"eneko-osaba",fullName:"Eneko Osaba",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/221364/images/system/221364.jpg",biography:"Dr. Eneko Osaba works at TECNALIA as a senior researcher. He obtained his Ph.D. in Artificial Intelligence in 2015. He has participated in more than twenty-five local and European research projects, and in the publication of more than 130 papers. He has performed several stays at universities in the United Kingdom, Italy, and Malta. Dr. Osaba has served as a program committee member in more than forty international conferences and participated in organizing activities in more than ten international conferences. He is a member of the editorial board of the International Journal of Artificial Intelligence, Data in Brief, and Journal of Advanced Transportation. He is also a guest editor for the Journal of Computational Science, Neurocomputing, Swarm, and Evolutionary Computation and IEEE ITS Magazine.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"275829",title:"Dr.",name:"Esther",middleName:null,surname:"Villar-Rodriguez",slug:"esther-villar-rodriguez",fullName:"Esther Villar-Rodriguez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/275829/images/system/275829.jpg",biography:"Dr. Esther Villar obtained a Ph.D. in Information and Communication Technologies from the University of Alcalá, Spain, in 2015. She obtained a degree in Computer Science from the University of Deusto, Spain, in 2010, and an MSc in Computer Languages and Systems from the National University of Distance Education, Spain, in 2012. Her areas of interest and knowledge include natural language processing (NLP), detection of impersonation in social networks, semantic web, and machine learning. Dr. Esther Villar made several contributions at conferences and publishing in various journals in those fields. Currently, she is working within the OPTIMA (Optimization Modeling & Analytics) business of TECNALIA’s ICT Division as a data scientist in projects related to the prediction and optimization of management and industrial processes (resource planning, energy efficiency, etc).",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. He is a Senior Member of the IEEE, and a recipient of the Biscay Talent prize for his academic career.",institutionString:"Tecnalia Research & Innovation",institution:null},{id:"278948",title:"Dr.",name:"Carlos Pedro",middleName:null,surname:"Gonçalves",slug:"carlos-pedro-goncalves",fullName:"Carlos Pedro Gonçalves",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRcmyQAC/Profile_Picture_1564224512145",biography:'Carlos Pedro Gonçalves (PhD) is an Associate Professor at Lusophone University of Humanities and Technologies and a researcher on Complexity Sciences, Quantum Technologies, Artificial Intelligence, Strategic Studies, Studies in Intelligence and Security, FinTech and Financial Risk Modeling. He is also a progammer with programming experience in:\n\nA) Quantum Computing using Qiskit Python module and IBM Quantum Experience Platform, with software developed on the simulation of Quantum Artificial Neural Networks and Quantum Cybersecurity;\n\nB) Artificial Intelligence and Machine learning programming in Python;\n\nC) Artificial Intelligence, Multiagent Systems Modeling and System Dynamics Modeling in Netlogo, with models developed in the areas of Chaos Theory, Econophysics, Artificial Intelligence, Classical and Quantum Complex Systems Science, with the Econophysics models having been cited worldwide and incorporated in PhD programs by different Universities.\n\nReceived an Arctic Code Vault Contributor status by GitHub, due to having developed open source software preserved in the \\"Arctic Code Vault\\" for future generations (https://archiveprogram.github.com/arctic-vault/), with the Strategy Analyzer A.I. module for decision making support (based on his PhD thesis, used in his Classes on Decision Making and in Strategic Intelligence Consulting Activities) and QNeural Python Quantum Neural Network simulator also preserved in the \\"Arctic Code Vault\\", for access to these software modules see: https://github.com/cpgoncalves. He is also a peer reviewer with outsanding review status from Elsevier journals, including Physica A, Neurocomputing and Engineering Applications of Artificial Intelligence. Science CV available at: https://www.cienciavitae.pt//pt/8E1C-A8B3-78C5 and ORCID: https://orcid.org/0000-0002-0298-3974',institutionString:"University of Lisbon",institution:{name:"Universidade Lusófona",country:{name:"Portugal"}}},{id:"241400",title:"Prof.",name:"Mohammed",middleName:null,surname:"Bsiss",slug:"mohammed-bsiss",fullName:"Mohammed Bsiss",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/241400/images/8062_n.jpg",biography:null,institutionString:null,institution:null},{id:"276128",title:"Dr.",name:"Hira",middleName:null,surname:"Fatima",slug:"hira-fatima",fullName:"Hira Fatima",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/276128/images/14420_n.jpg",biography:"Dr. Hira Fatima\nAssistant Professor\nDepartment of Mathematics\nInstitute of Applied Science\nMangalayatan University, Aligarh\nMobile: no : 8532041179\nhirafatima2014@gmal.com\n\nDr. Hira Fatima has received his Ph.D. degree in pure Mathematics from Aligarh Muslim University, Aligarh India. Currently working as an Assistant Professor in the Department of Mathematics, Institute of Applied Science, Mangalayatan University, Aligarh. She taught so many courses of Mathematics of UG and PG level. Her research Area of Expertise is Functional Analysis & Sequence Spaces. She has been working on Ideal Convergence of double sequence. She has published 17 research papers in National and International Journals including Cogent Mathematics, Filomat, Journal of Intelligent and Fuzzy Systems, Advances in Difference Equations, Journal of Mathematical Analysis, Journal of Mathematical & Computer Science etc. She has also reviewed few research papers for the and international journals. She is a member of Indian Mathematical Society.",institutionString:null,institution:null},{id:"414880",title:"Dr.",name:"Maryam",middleName:null,surname:"Vatankhah",slug:"maryam-vatankhah",fullName:"Maryam Vatankhah",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Borough of Manhattan Community College",country:{name:"United States of America"}}},{id:"414879",title:"Prof.",name:"Mohammad-Reza",middleName:null,surname:"Akbarzadeh-Totonchi",slug:"mohammad-reza-akbarzadeh-totonchi",fullName:"Mohammad-Reza Akbarzadeh-Totonchi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Ferdowsi University of Mashhad",country:{name:"Iran"}}},{id:"414878",title:"Prof.",name:"Reza",middleName:null,surname:"Fazel-Rezai",slug:"reza-fazel-rezai",fullName:"Reza Fazel-Rezai",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"American Public University System",country:{name:"United States of America"}}},{id:"302698",title:"Dr.",name:"Yao",middleName:null,surname:"Shan",slug:"yao-shan",fullName:"Yao Shan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Dalian University of Technology",country:{name:"China"}}},{id:"125911",title:"Prof.",name:"Jia-Ching",middleName:null,surname:"Wang",slug:"jia-ching-wang",fullName:"Jia-Ching Wang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Central University",country:{name:"Taiwan"}}},{id:"357085",title:"Mr.",name:"P. Mohan",middleName:null,surname:"Anand",slug:"p.-mohan-anand",fullName:"P. Mohan Anand",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"356696",title:"Ph.D. Student",name:"P.V.",middleName:null,surname:"Sai Charan",slug:"p.v.-sai-charan",fullName:"P.V. Sai Charan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"357086",title:"Prof.",name:"Sandeep K.",middleName:null,surname:"Shukla",slug:"sandeep-k.-shukla",fullName:"Sandeep K. Shukla",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"356823",title:"MSc.",name:"Seonghee",middleName:null,surname:"Min",slug:"seonghee-min",fullName:"Seonghee Min",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Daegu University",country:{name:"Korea, South"}}},{id:"353307",title:"Prof.",name:"Yoosoo",middleName:null,surname:"Oh",slug:"yoosoo-oh",fullName:"Yoosoo Oh",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:"Yoosoo Oh received his Bachelor's degree in the Department of Electronics and Engineering from Kyungpook National University in 2002. He obtained his Master’s degree in the Department of Information and Communications from Gwangju Institute of Science and Technology (GIST) in 2003. In 2010, he received his Ph.D. degree in the School of Information and Mechatronics from GIST. In the meantime, he was an executed team leader at Culture Technology Institute, GIST, 2010-2012. In 2011, he worked at Lancaster University, the UK as a visiting scholar. In September 2012, he joined Daegu University, where he is currently an associate professor in the School of ICT Conver, Daegu University. Also, he served as the Board of Directors of KSIIS since 2019, and HCI Korea since 2016. From 2017~2019, he worked as a center director of the Mixed Reality Convergence Research Center at Daegu University. From 2015-2017, He worked as a director in the Enterprise Supporting Office of LINC Project Group, Daegu University. 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Behind these definitions are hidden all the aspects of normal and pathological functioning of all processes that the topic ‘Metabolism’ will cover within the Biochemistry Series. 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Thus proteomics, an area of research that detects all protein forms expressed in an organism, including splice isoforms and post-translational modifications, is more suitable than genomics for a comprehensive understanding of the biochemical processes that govern life. The most common proteomics applications are currently in the clinical field for the identification, in a variety of biological matrices, of biomarkers for diagnosis and therapeutic intervention of disorders. From the comparison of proteomic profiles of control and disease or different physiological states, which may emerge, changes in protein expression can provide new insights into the roles played by some proteins in human pathologies. Understanding how proteins function and interact with each other is another goal of proteomics that makes this approach even more intriguing. Specialized technology and expertise are required to assess the proteome of any biological sample. 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