Linkage of obesity with gut microbiomes.
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He has more than 96 SCI publications, he acted as an academic editor, reviewer, and he holds several registered patents.",coeditorOneBiosketch:"Researcher in enteric health, most notably probiotics and their relationship to nutrition and disease protection in poultry as well as the design of avian enteric inflammation models for the study of the impact of diet and microbiome on growth and development.",coeditorTwoBiosketch:"My research focuses mainly on apicomplexan parasites, such as Toxoplasma Cryptosporidium, Eimeria, and minor on nematodes. Prof.Alali has more than 30 publications and he acts as a reviewer in many journals.",coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"209746",title:"Dr.",name:"Saeed",middleName:null,surname:"El-Ashram",slug:"saeed-el-ashram",fullName:"Saeed El-Ashram",profilePictureURL:"https://mts.intechopen.com/storage/users/209746/images/system/209746.png",biography:"Dr. Saeed El-Ashram is a professor at Foshan University, China, and Kafrelsheikh University, Egypt, and a research professor at Zhaoqing Dahuanong Biology Medicine Co., Ltd., China. Dr. El-Ashram\\'s research focuses on parasitic diseases. He has more than 100 journal publications to his credit. He is currently an academic editor and reviewer and holds several registered patents. The primary focus of his research is to understand how the animal immune system recognizes and responds to parasitic infections with and/or without a microbial community. Some are the causative agents of significant diseases in humans, such as toxoplasmosis, cryptosporidiosis, alveolar echinococcosis, and fascioliasis. Others are a substantial financial burden to food producers because of the effects these parasites have on domestic animals, for example, coccidiosis and cryptosporidiosis (livestock and poultry).",institutionString:"Foshan University",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"0",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"Foshan University",institutionURL:null,country:{name:"China"}}}],coeditorOne:{id:"73465",title:"Dr.",name:"Guillermo",middleName:null,surname:"Téllez",slug:"guillermo-tellez",fullName:"Guillermo Téllez",profilePictureURL:"https://mts.intechopen.com/storage/users/73465/images/system/73465.jpg",biography:"Guillermo Tellez-Isaias received his DVM and MS in Veterinary Sciences from the National Autonomous University of Mexico (UNAM), and his Ph.D. from Texas A&M University. 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Examples of the above can be observed in different disciplines such as transport [1, 2], mining [3] and agriculture [4] among others. However, in the area of optimization, many problems still work at the level of reference instances [5, 6, 7, 8]. To solve real optimization problems, we must consider that these are generally multi-variable problems with restrictions and trade-off between them. In many instances, when a problem is modeled, a point that is not taken into consideration is the uncertainty to which the system is subject. In this sense, our solution can be submitted to questions of the type: How feasible is this solution according to the different scenarios? What is the optimality of this solution? How strict should the treatment of uncertainty be? One way to approach uncertainty is to consider the robustness of the solution. However, the definition of robustness is not trivial and there are several definitions. Ideally, you want to get the best solution and also the most robust one but usually there is a trade-off between these two concepts [9]. Due to the importance and particularity for each problem of this trade-off between the quality and robustness of the solution, a series of definitions have been generated and a series of methods developed to adequately address or estimate the trade-off [10, 11].
Because each problem has its own level of demand regarding the quality of the solution and its treatment with respect to its robustness, it is difficult to provide a single definition of robustness. In some cases, our solution could be considered robust if under certain conditions of the search space or under certain operational conditions, the solution behaves reasonably with respect to its quality, feasibility or optimality. Under other conditions where the management of uncertainty is very strict, the most appropriate result is associated with scenarios that consider the worst case [12].
On the other hand, it has been methodologically argued [13] that instead of transforming and solving the optimization problem with uncertainty in a robust problem, this can be solved in two stages considering the robustness as a separate objective [13]. The argument is based on the fact that a separate analysis allows obtaining more information and understanding about the solution and its robustness, facilitating the decision-making process. On the other hand, considering robustness as part of the problem has advantages over implementation, computational cost and alternatives to solve the problem. In the latter case, modeling the choice of scenarios and the measure of robustness is essential [14].
The aforementioned discussion indicates that the concepts of robustness are still in the process of maturation and there is no clear methodology on how to address robust problems. There are conceptual, computational and application challenges in the area of robust optimization. Usually, the few state of the art reviews found about robust optimization, focus on identifying what areas and types of problems have been addressed. In this article, as a starting point, we present a collection of the different definitions and models with which robust optimization problems have been addressed. Knowledge of the different models used in robust optimization is essential for a proper understanding of the field. Once the main concepts are defined, we proceed to provide an update on the main robust optimization works that have been carried out over the last few years. In Section 2, we will describe the basic concepts associated with uncertainty. We will describe the main robustness models in Section 3. Finally, in Section 4, we will describe the main areas of application.
Suppose an engineer who must make constant decisions and face the difficulty of multidimensional problems with some degree of ambiguity or errors in the parameters to analyze and some kind of stochastic uncertainty of the process and its environment. Then this engineer must also determine if the proposed solution is robust. This means that the solution is feasible to apply for any parameter scenario and stochastic uncertainty and that this feasibility remains close to the optimality condition. Then two fundamental concepts appear: the uncertainty of the feasibility of the solution and the uncertainty of the objective value of the function.
Ideally, the engineer would like his or her solution to be feasible for any value of the parameters analyzed; however, this feasibility has consequences. The first consequence corresponds to having a significant computational cost when considering all the possible parameter values. The second consequence is related to the deterioration in the quality of the solution. The more demanding it is with regard to the feasibility of the parameters, the greater the probability of moving away from optimality. Therefore, there is a trade-off, which is related to the problem that is being solved. Then solutions in the area of control theory related to equipment failures should be much stricter regarding the feasibility of the solution than solutions obtained in marketing areas where the effect on a set of clients is not so critical. Therefore, the choice of the uncertainty set plays a fundamental role in the feasibility of solving the problem and in the quality of the solution obtained.
It may happen that depending on the set of uncertainty chosen, the optimality of the solution is altered. In this case, robust optimization tries to obtain a solution that performs adequately in the different scenarios; however, all scenarios do not require the same treatment with respect to optimality. Due to the above, in the literature, we can find different concepts of robustness; among the most mentioned are: strict robustness [15], cardinality constrained robustness [16], adjustable robustness [17], lightweight robustness [18], soft robustness [19], lexicographic robustness and regret robustness.
Each real optimization problem suffers from some type of uncertainty that are mainly caused by uncertainty at the level of the measurements or by uncertainties due to changes in the environment of the system. The first case we will refer to microscopic uncertainties and the second will be macroscopic. The optimization problem can be approached in a standard way through a nominal scenario which would describe, for example, the most typical case or an average case. However, in general, the most probable scenario is not trivial to obtain and for some problems, having a more frequent scenario is not the natural way to approach the problem [20]. An optimization problem with constraints can be formally written as shown in Eq. (1).
where
In most problems, it is not known exactly what the value of
Finite uncertainty
Interval-based uncertainty
Norm-based uncertainty
Polytopic uncertainty
Constraint-wise uncertainly
This section aims to formally define the main concepts of robustness used to solve optimization problems with uncertainty. In each of the ways to approach robustness, the intuition that exists behind the definition is described; later, the sets that model the uncertainty are characterized and then the problem is written in its robust version. Finally, articles where the definition has been used are referenced.
Let
Then the strict robust problem corresponds to the problem formulated in Eq. (4),
To the best of our knowledge, the first to use strict robustness was Soster in [21], where he applied uncertainty to convex sets, solving the problem using linear programming. Later, this work was extended and placed in a theoretical framework in the articles [22, 23]. The essence of strict robustness is that all scenarios can occur and all of them have an important criticality. In real problems, this type of robustness is necessary in critical systems where a failure is not tolerable. For example, the case of air planes and nuclear plants. However, in other types of problems, such as revenue management, public or scheduling, this type of robustness can be relaxed.
One way to relax the strict robustness is to restrict the space of uncertainty. There are several ways to achieve this restriction. In cardinality constrained robustness, the property is used that it is unlikely that all the uncertainty parameters change at the same time when analyzing the worst case. Then, we can restrict the cardinality of the uncertainty space by varying only some parameters; the others are modeled with their representative values.
Let
This approach was conceptualized by Bertsimas and Sim [16] for continuous problems. Later, this approach was extended to combinatorial problems in the articles [24, 25].
Another way to relax the space of uncertainty of strict robustness, corresponds to divide the space into groups of variables. A first group will be called
Let
Then once we have fixed the variables
where
Given a
And therefore, the split robustness is given by Eq. (10).
The first one to introduce the concept of adjustable robustness was Ben Tal et al. [17] applied to uncertainly problems in linear programming. However, the concept has continued to develop and adapt and nowadays, applications are being seen in portfolio selection [26], in power systems [27], capacity extension planning [28], aperiodic timetabling [29], among others.
A completely different way of relaxing the concept of strict robustness corresponds to instead of reducing the space of uncertainty, we can relax the constraints in favor of the quality of the solution. This new concept that is called light robustness, this concept considers as a fundamental hypothesis that if we are able to adequately solve the optimization problem considering the nominal (or average) case, the solution should not be bad and basically, we can concentrate on finding relatively close solutions of the fitness that also fulfill in the best possible way the restrictions of the problem considering all
The concept of light robustness was introduced by Fischetti and Monaci [30], the main objective of its new definition was to allow a trade-off between robustness and quality of the solution. A constraint is added by entering the parameter
Originally, the concept of light robustness was conceived to be applied to problems of linear programming [30] and specifically, in time optimizations in Italian single-line instances. Later, in [31] light robustness was applied to determine the best route to traveling in a public transport network in Germany. Later in [18] the concept was generalized taking into account any optimization problem and any set of uncertainty.
The regret robustness described by [32] uses a way to relax the problem through the objective function. Let
Today, we see used in the concept of regret robustness in different areas. In [33], it was used in portfolio optimization problems. In safety investment problems, it was used in [34]. In [35] it was used to solve evacuation planning models.
Recoverable robustness uses the concept of
The concept of recoverable robustness was developed in the article [36] applied to shunting problems and later refined in [37] applying recoverable robustness to railway problems with linear programming. Today, we find the concept of recoverable robustness applied to location planning [38], scheduling and delivering routing [39], allocation and network design problems [40], robust traveling salesman problem [41] and transit network design [42], among others.
In this section, we will describe some examples where robust optimization has been applied. Mainly identified areas have been logistics, finance, water management, energy management and machine learning.
Energy management has received significant attention with respect to robust optimization. In [43] a strategic planning model applied to the integrated oil chain was designed. For the design, it was considered as sources of uncertainty: crude oil production, demand for refined products and market prices. The robust version of the demands for a power plant problem was studied in [44]. In this article the phases of unit commitment and economic dispatch were considered to minimize the local cost. A robust model of energy distribution under uncertainties with respect to wind energy was studied in [45]. In this article, it was shown that the proposed method can be solved in suitable times in addition to being able to effectively capture the ambiguous distribution of wind power generation. In [46], the configuration of the energy consumption of household appliances under the uncertainty of manually operated devices (MOAs) was modeled as a problem of robust optimization. When evaluating all the possible cases of the energy of MOAs, the traditional approach was chosen, that is, using the worst case with the intention of reducing the payment of electricity for all the household appliances. To determine the reduction in the payment, the price of electricity in real time was considered as information in addition to the inclining block rate.
In [47] robust optimization was used to handle the uncertainties of water planning resources. In [48] the authors developed a new methodology for the optimizing daily operations of pumping stations. This methodology takes into consideration the fact that a water distribution system is actually unavoidably affected by uncertainties. A multi-objective robust decision-making approach was developed in [49]. This approach supports seasonal water management. In [51], a comparison of Robust Optimization and Info-Gap Methods for Water Resource Management under Deep Uncertainty was made. A multi-objective design of water distribution systems under uncertainty was developed in [50]. The main objectives are (1) minimize the total water distribution system (WDS) design cost and (2) maximize WDS robustness. In the article, the WDS robustness is defined as the probability of simultaneously satisfying minimum pressure head constraints at all nodes in the network.
In [52] regularized support vector machines (SVMs) were considered, and they were shown to be equivalent to a robust formulation of the problem. The authors show that this equivalence between robust optimization and regularization has implications for both algorithms and analysis. The equivalence of robustness and regularization provides a robust optimization interpretation for the success of regularized SVMs. On the other hand, Fertis in his doctoral thesis [53], studied the connection between regularizations like Lazo and robustness. Specifically, he showed that in classical regression, regularized estimators like lasso can be obtained by applying robust optimization to the classical least squares problem. He discovers an explicit connection between the size and the structure of the uncertainty used in the robust estimator, with the coefficient and the kind of norm used in regularization. Xu et al. [54], investigated a probabilistic interpretation of robust optimization. They established a connection between robust optimization and distributionally robust stochastic programming (DRSP). In the article, they showed that the solution to any robust optimization problem is also a solution to a DRSP problem. In [55] the problem of constructing robust classifiers when the training is subject to uncertainty was studied. The problem is posed by a chance-constrained programming, which ensures that the uncertainty of the data is correctly defined with high probability.
In the area of logistics problems such as the traveling salesman and routing problem have been explored in their robust versions. A Swarm intelligence system was designed in [56] to solve the vehicle routing problem with time windows and uncertain travel times. The uncertainty here models the perturbation in the data. This perturbation, is caused by the effects of unpredictable events, such as traffic jams, road building, etc. In the article, the authors proposed a heuristic approach using ant colony optimization as a metaheuristic. In [57], the open vehicle routing problem with uncertain demands was studied. In this problem, the vehicles have as an additional function that they do not necessarily return to their original locations after delivering the products to the customers. First, the authors modeled the demand of the clients as specific sets of limited uncertainty with expected values of demand and nominal values. Having the sets modeled, they later proposed a robust optimization model that aims to minimize transport costs and unsatisfied demands on the specific uncertainty sets defined. The robust vehicle routing problem with time windows was solved in [58]. They proposed two new formulations for the robust problem, each based on a different robust approach. They proposed two new formulations for the robust problem, each based on a different robust approach. The first formulation uses adjustable robustness with the aim of extending the well-known formulation of resource inequalities. The second formulation generalizes a path inequalities formulation to the uncertain context. In this case, uncertainty is modeled in the formulation of the problem. In [41], an uncertain traveling salesman problem was developed. In this problem, the distances between the nodes are not exactly known, but they can be obtained from a set of uncertainties of possible scenarios. This set of uncertainties is modeled as intervals, including an additional limit associated with the number of distances that can deviate from their expected nominal values. In the study, a recoverable robust model was proposed. This model allows a tour to change only a limited number of borders once a scenario is known; all these with the goal of minimizing the complexity in calculations. The robust traveling salesman problem with interval data was studied in [59]. In the article, travel times are specified as a range of possible values. They applied the robust deviation criterion to drive the optimization over the interval data problem thus obtained.
Another interesting group of problems in the logistics area corresponds to facility location problems. The robust formulation of these problems aims to obtain an optimal design of a system considering uncertainty. The authors introduce a robust optimization-based approach to obtain some capacity expansion solutions that are not sensitive to this uncertainty. In this area, we highlight the work carried out by [60], where they considered the question of how to make a decision about capacity expansions for a network flow problem that is subject to demand and travel time uncertainty. The authors introduce a robust optimization-based approach to obtain some capacity expansion solutions that are not sensitive to this uncertainty. They show that the robust modeled solution is a computationally tractable problem when considering general uncertainty sets together with reasonable conditions for network flow applications. Another interesting problem in this area is the robust transmission expansion planning. In [61] the authors address the problem of transmission expansion planning, considering uncertainties in the electric power system. They consider varied sources of uncertainty such as: the growth of future demand, the availability of generation facilities, geographical characterization within the electric power system. A robust adaptive optimization model is used to obtain investment decisions with the objective of minimizing the total costs of the system and anticipating the worst-case materialization of the uncertain parameters within a uncertainty set.
Public goods can be understood as a merchandise or service that is provided non-profit to all members of a society. This merchandise or service, can be provided by the government, an individual or an organization. When we consider public goods and robust optimization, interesting applications appear. An interesting first application corresponds to radiation therapy. When a radiation therapy examination is performed, there are uncertainties that are fundamental to consider in defining the correct treatment in patients with cancer. In this context, addressing problems through robust optimization makes a lot of sense. In [62] the authors constructed an uncertainty model of the movement of respiration based on probability density functions. These functions allowed them to robustly model the optimization of intensity-modulated radiation therapy.
Another interesting implementation associated with the application of robust optimization to public goods corresponds to intrahospital transport. Intrahospital transport is often required for reasons associated with a diagnosis or some therapy that the patient must perform. Depending on the design of the hospital, transportation between the nursing rooms and the service units is provided by ambulances or by trained personnel accompanying patients on foot. When the hospital is large, the patient transport service is often poorly managed and there is no associated flow coordination; on the other hand, there is no clarity of all the necessary transports since they are dependent on the diagnoses. In [63] the authors address the problem of defining robustness to patient flow management in the context of optimized patient transport in hospitals. In [64] a methodology was proposed to obtain a robust logistics plan to mitigate the uncertainty of the demand for humanitarian relief supply chains. More specifically, the authors formulated the problem as a robust optimization problem with the objective of dynamically assigning emergency response and generate evacuation traffic flow, all this in the context of time-dependent demand uncertainty.
In this article, we have carefully reviewed the different definitions that have appeared in the literature to address the concept of robust optimization. We have taken special care to formalize each of the definitions and cite specific examples where they have been used. Subsequently, a review was made in areas where robust optimization has been applied. In particular, the areas of water management, energy management, machine learning, logistics and public goods stood out. With the advent of the concepts and technologies associated with the Internet of Things and Big Data, it is expected that the problems described above have a greater amount of data to build more robust models; however, this brings challenges regarding the complexity of the algorithms, in addition to the learning and operation of these in real time.
When we analyze the research works developed in the area of robust optimization, we found that there is a lack of a formal argument that clearly defines the uncertainty set to be used to solve the problem in a robust way. Usually, the choice is guided by business intuition together with the need to adapt the uncertainty set to solve the problem in a reasonable time.
Therefore, there is an important space to develop quantitative studies to determine what kind of robustness and uncertainty set should be used to solve a problem. Identifying how different uncertainty sets behave for a defined problem is fundamental. To be able to answer questions such as: How is the quality of the solutions perturbed with the choice of the uncertainty set?, Is this perturbation important for the problem that is being solved?, How is the convergence of the algorithm altered against different sets of uncertainty?, Can we classify problems according to some degree of robustness? Can this classification be related to the type of uncertainty to be used? The answer to these questions allows developing a methodology that allows identifying which is the robustness required by the problem, what type of uncertainty set should be chosen and how is the behavior of the algorithm in terms of quality of its results and convergence.
As future lines of research in the area of robust optimization, we see that considering these group of definitions together with the different applications mentioned earlier, we can work on developing a methodology that gives a specific problem, allows in a simple way to identify which definition is the most appropriate and which methods they are the most appropriate to solve the problem at reasonable times.
Regarding the tractability of robust problems, we have not found solutions where the hybridization of metaheuristics with other techniques is exploited such as integration with mathematical programming, with simulations or integration with machine learning, all these with the goal of improving convergence times of algorithms.
Particularly, according to our experience in the integration of machine learning and metaheuristics, a line that must be explored corresponds to the use of a general scheme of integration of these two areas through the use of metalearning techniques. Considering that we have a set of algorithms or settings of some algorithm, we use a mechanism that selects the best algorithm or settings for given an instance to obtain the best convergence and results. Furthermore, the use of reinforced learning can be explored to enrich the meta-model with the new results generated.
Obesity is a physiological condition triggered by a mixture of hereditary and nongenetic variables, such as external cues. Obesity is classified by the World Health Organization as having a Body fat percentage of more than 30, however, the requirements vary by country. In China, for instance, obesity is classified as a BMI of 28 or more. Over one-third of the worldwide population is overweight, including over 10% obese, according to a thorough survey [1]. Obesity is estimated to reach 1.12 billion people worldwide by 2030 [2]. Obesity affects more than 500 million people worldwide, creating a major financial and public-health issue [3]. Obesity has sparked renewed worry and is now becoming a severe global health issue. Obesity is associated with abnormalities in triglycerides, insulin, inflammatory processes, and peroxidation, as well as a higher risk of heart disease, diabetes, and malignancy [4, 5]. According to a rising body of evidence, a bacterial imbalance in the gut contributes to obesity [6, 7]. Dietary changes, exercise, surgery, and medication are the most popular treatments for obesity. Traditional weight loss techniques, on the other hand, frequently fail to produce satisfying results, and obesity rates are expected to climb further [8]. Many dietary plants have been proven to reduce appetite, restrict food absorption, reduce adipogenesis, and increase energy consumption, and all have anti-obesity properties [9]. In the human intestinal mucosa, particularly the colon, the gut microbiota, which contains bacteria, fungi, Archea, and viruses, is common [10, 11]. The effect of gut microbiota on obesity has received a lot of attention in current history, and it might be a viable weight-loss strategy. The effects of food plants on gut flora have recently received a lot of emphasis. The gastrointestinal microbiota contains around 100 trillions of commensal bacteria, which is 10 times the body’s total density [12].
To keep its birthrates high, the gut flora feeds on nutritional remnants that people cannot process, mucous secreted either by the gut, and cells waste shed as food [13]. Short-chain fats, nutrients, and right things like a pro, analgesic, or oxidative chemicals will be produced by a healthy gut bacteria, along with potentially dangerous items such as neurotoxicity, malignancies, including immunotoxins [14, 15]. Such substances can infect humans, and immediately cause mutations, thus disrupting the defense but also physiological processes of humans. As a consequence, maintaining the body’s natural normal metabolic equilibrium need balanced intestinal bacteria. Obesity is regarded as a long net caloric consumption mismatch that results in excessive weight gain [16]. The interplay between biological and epigenetic variables, such as nourishment, dietary components, and/or lifestyle decisions, are to blame. Overall, the complex mechanisms that lead to obesity and its consequences are unknown, but recent research shows that it gastrointestinal tract the thousands of microorganisms that normally reside within the individual gastrointestinal tract should be taken into account [17]. Food absorption, energy management, and fat storage are all influenced by the intestinal microbiota and its microscopic genome, according to a new study.
Moreover, gut flora can alter the immune system of humans [18], and also the composition of bile salts, which can affect ingestion and physiology [19]. Obesity, cancer, and irritable bowel syndrome are hypothesized to be caused by gut microbial dysbiosis [20, 21]. Gram-negative bacteria lipopolysaccharide (LPS) may, for instance, produce an immune response in the recipient [22]. Obese people have a lesser variety of intestinal flora than lean people [23], and the huge quantity of specific gut microbiota taxa has changed in obese people [24]. Utilization of some food items could be negatively proportional to excess weight through modifying gut flora, according to epidemiological research [25, 26, 27]. As a consequence, eating dietary plants and taking advantage of their impact on gut microbiota management might be a novel method to treat obesity. These results indicate that gut bacteria may regulate the host’s energy metabolism, potentially leading to obesity and other disorders. This chapter’s vision is to offer a broad review of this hot issue, including the involvement of the intestinal microbiota with obesity.
With around a hundred billion bacteria, the microorganisms in the human gastrointestinal system are large and varied. This colon is expected to have a bacterial cell density of 1011 to 1012 per ml, making it one of the world’s most densely inhabited microbial ecosystems [28]. The gut flora contains around 3 million genetic materials and hundreds of compounds, but the genome sequence only contains approximately 23,000 genes [29]. The host intestinal flora contains 10–100 trillion germs, making it challenging for biologists to characterize the whole microbiota, particularly with the classic Sanger method.
Bacteria, fungi, and viruses are among the species that make up gut bacteria. Bacteria are divided into phylums, classes, groups, families, species, and individuals. Even though only a few phyla are included, there are over 160 species [30]. The most prevalent gut microbe phyla include Species, Acidobacteria, Lactobacillus, Lactobacillus, Actinobacteria, Microbacterium, and Verrucomicrobia, alongside Taxa and Eubacterium [31]. accounting for 90% of a microbial population. The Firmicutes phylum has about 200 genera, including Escherichia, Staphylococcus, Coli, Enterobacter, and Ruminicoccus. The Clostridium genus makes up roughly 95% of the Firmicutes phylum. Bacteroidetes is a bacterial family that contains well-known bacteria which including Bacteroides and Prevotella. There are fewer bacteria in the Actinobacteria phylum, with the Bifidobacterium genus dominating [31].
The Firmicutes phylum, including comprises % of the gut bacteria, encompasses more than 200 genera, Escherichia, Pseudomonas, Vibrio, Enterobacter, and Ruminicoccus are a few examples. Almost the whole Genera class is represented by the Clostridium genus. Bacteroidetes is a bacterial family that includes well-known bacteria such as Bifidobacteria and Prevotella. The Lactobacillus genus dominates the Lactobacilli phylum, which contains a smaller amount of microbes.
Each section of the Gastrointestinal system has a different taxonomy and functional flora, which fluctuates throughout time as a result of perinatal changes, aging, and external conditions such as antimicrobial usage.
Physiological factors such as acidity and high oxygen tension, digestion flow that is quick inside the lips but slows down afterward food supply, and finally human fluids all have an impact on the microbiota [32]. The gut provides a more difficult habitat for microbes due to its short transit times (3–5 hours) and high bile concentration. The largest microbial population is located in the large intestine, which has a slow mass flow and a normal to slightly acid pH, with obligate anaerobic bacteria dominating.
Even though a tiny amount of pathogens via maternal blood could produce a first microbiome at delivery, fetuses are assumed to be sterile during pregnancy [33]. Viruses out from the mother and the surroundings infiltrate the newborn’s intestines almost immediately. The microbiota’s makeup is influenced by cesarean delivery, antimicrobial therapy, nutrition, and ambient hygiene [34]. Bacterial flora in your intestines is extremely stable throughout maturity, shifting just a little around a core of stable colonizers. The gut physiology and nutrition of humans alter as they get older [35]. Temporary changes, however, may occur as a result of dietary factors or antibiotic treatments. Quick medication with only a solitary prescription with antibiotic therapy, such instance, alters the intestinal flora lasting up to 4 days until returning to its previous state [36]. In addition, some bacteria might take months of rehab after treatment, resulting in a loss of diversity after multiple medication exposures [37]. Dietary modifications have a similar effect on the makeup of intestinal flora. Food provides nutrients to the host as well as the microbiota, whose bacteria may be favored or injured by dietary substrates. As a result, according to one study, changes in diet in mice could responsible for 57% of the overall point mutation in gut microbes, while gene variants accounted for only 12% [38].
So far, the gutMEGA database has collected the gut microbes of 6457 taxa [39]. Firmicutes, Bacteroides, Proteus, Actinomycetes, Fusobacteria, and Verrucomicrobia comprise the bulk of the human gut microbiota [40]. Varied gut flora is ultimately beneficial; nevertheless, a lack of choice in the gut microbiome may lead to disorders such as obesity [23]. Another feature of gut health microorganisms is a delicate balance, which refers to the gut microbiota’s capacity to resist perturbation and return to health, such as following antimicrobial therapy [41].
The mammalian gut flora is a flexible and intricate habitat that evolved including its owner [42] which accounts for around one kg of our body weight. Our intestinal bacteria populations are rapidly being recognized as an entity with physiological, immunosuppressive, and estrogen functions that lead to illnesses [43]. Each Digestive system contains around 1014 organisms ten times the level of cells in the human body and each gut flora has 500–1000 unique types of bacteria [44, 45]. The Megahits group [25] also released a list of nearly 10 million non-redundant genes derived from decoding specimens from 1267 people, showing that the microbial community includes at least 100 times the amount of genes found in the bodily genome [46, 47, 48]. An overall current population could be classified into three groups based on the nature of the gut flora [31]. The most prevalent enterotypes are Also used Prevotella, or Rotifers, with Bacteroides, Lactobacilli, and Ruminococcus leading the pack. Although enterotype differences were previously assumed to be unrelated to region, age, race, or BMI [49], they have now been connected to long-term eating habits. The gut microbiota is a symbiotic relationship that helps the human body do things it cannot. As a result, sustaining regular GI and immunological processes, as well as proper nutrition digestion, requires the gut microbiota [12, 50]. Its microbiome, for instance, ferments metabolites indigestible food elements, synthetase enzymes, and certain other critical minerals, food poisons, and carcinogens convert cholesterol and bile salts, supports immunological reaction development, controls enterocyte growth and division, controls gastrointestinal capillaries, and protects against pathogenic strains [51]. Carbohydrate composting, its generation of short-chain fatty acids, a saturation of selected surface proteins, or the formation of minerals and abundant amino acids all seem to be the main tasks of normal gut flora [52].
Due to organ development and external influences such as antibiotics, hospitalization, and enteral feeding, colonization is a concern in preterm neonates after birth [53, 54]. For these reasons, preterm birth might have had a considerable influence on gut and systemic immunity throughout pregnancy [54].
Preterm newborns have a limited range of bacteria, with more potentially hazardous microbes again from the Proteobacteria phylum’s Bacteria cell colonizing them [53] and decreased rates of strictly anaerobic bacteria like Bifidobacteria and lactobacilli [55], Bacteroides, and Atopobium [53]. Genetic factors, as well as the family’s secretor and Lewis blood type, impact the composition of infant formula, resulting in four phenotypes with varied amounts of oligosaccharide [56]. Premature children born to non-secretor mothers had greater Proteobacteria levels and lower Firmicutes levels [57]. Pratic et al. [58] investigated the makeup of colostrum that discovered that Health maintenance organizations linked with different mother phenotypes influence the gut microbiota of newborns. For example, health centers associated with secretor moms might provide a prebiotic benefit by lowering microorganisms linked to sepsis and necrotizing enterocolitis [57]. This suggests that health centers can alter gut flora, protecting premature babies against gut dysfunction and NEC [59]. Lactoferrin is a well-known component of human dairy that promotes the colonizing of preterm newborns’ stomachs with helpful bacteria, therefore improving their ecology [32].
Babies acquire a gut that is identical to their mother’s gut microflora after normal delivery. The flora of the child’s large intestine and the related organisms of the vaginal tract, Bacteria, Lactobacilli, and Sneathia, were discovered to be closely linked in the development of biological baby mucus [60]. As per Biasucci et al. [61], significant bacteria such as Probiotic bacteria long and Lactobacillus catenulatum are familiar with the microbiome of perineal born neonates.
In analyses done at 7 years old, variations in the microflora of C-section and perineal delivered infants were discovered [65]. Persistent autoimmune abnormalities like influenza, regional collagenous disorders, adolescent arthritis, irritable bowel [66], or overweight [67] have been linked to cesarean delivery.
As per research [68, 69], Equation babies are more likely to be contaminated with
Maintaining a healthy and nourishing gut flora in the mother during pregnancy is also regarded to be a crucial factor in improving the milk microbiome composition. Oral supplements may increase the quantity of Acidophilus spp. and Lactobacilli spp. in human breast milk in vaginally delivered mothers [72].
When solid foods are introduced and dairy is eliminated, significant changes in gut flora occur. Probiotics, Escherichia coccoides, and Bifidobacteria are the most frequent species after childhood [73]. Apigenin muciniphila, Enterobacteriaceae, Veillonella, Mycobacterium coccoides spp., and Botulism spp. are all found in significant levels in the microbiota of one baby [74]. Around the age of three, the appearance and diversity of a toddler’s intestinal microbiota are most akin to those of adults [75].
Pharmaceuticals could alter the intestinal microbiota’s makeup to some extent. The influence of antibiotic molecular pathways on the makeup of the human microbiome was investigated in obey research [76], Penicillin treatment options alter the gut microbiota, increasing the prevalence of some species while decreasing the abundance of others. Bacterial diversity and abundance decreased during therapy. Antimicrobial class, frequency, length of therapy, pharmacokinetic properties, and target microorganisms all impact gut flora composition [77]. Antibiotic features such as antimicrobial actions and potency are important in the development of gut flora thus they are partly to blame for bacterial composition changes following antibiotic therapy [76]. The drug has unique properties and disposal methods, resulting in a wide range of bacteria material changes [77].
We’ve previously seen how single intestinal microbiota makeup changes, and now we’ll examine how it varies among individuals. Intertype’s, BMI levels, and extrinsic variables including behavior, health and body, race, and culinary or cultural traditions all impact cross variability.
We’ve established that the gut flora composition differs across persons; now we’ll investigate how it varies between individuals. Exogenous variables including activity regularity, race, culinary and cultural habits, enterotypes, and BMI levels all play a role in these variances. Instead of an intentional integration of germs, an enterotype is a physiologically close relation between distinct species of bacteria. Although enterotypes are not as different from plasma groups in terms of structure, they are tolerant, constant through life, and may be regained if they are changed. Enterotypes appear to be mostly defined by food habits. Knowing the genesis and roles of enterotypes might help researchers better understand the links between gut flora and people’s health.
Many investigations [78, 79] focused on the impact of childhood obesity on intestinal flora and found that overweight or medium BMI kids had more bacterial ecology than underweight students. Intestinal flora declines with time, depending on the BMI category [78, 80]. Obese children’s microbiota has a greater Firmicutes-to-Bacteroidetes ratio than lean children’s microbiota, according to Bervoets et al. [81]. On the other hand, this obese microbiome exhibits comparably low percentages of Probiotic bacteria vulgatus and high levels of Escherichia species [81]. Adiposity is also linked to higher levels of Genus like Ruminococcaceae and decreased rates of Clostridium such as Bacteroidaceae and Enterobacter, according to Riva et al. [82]. Short-chain fatty acids were found to be higher in obese children, indicating that they used more fuel. Increased SCFA production and energy extraction from colon digestion are connected to a higher Firmicutes to Bacteroidetes ratio, indicating that intestinal flora imbalance might play a role in obesity etiology [82]. Gut flora instability is well predicted by BMI.
Although a healthy person’s microbiome is largely stable, behavior or dietary culture choices may likely alter gut microbial behavior [49]. According to a study on European children given a Western diet and Liberia children eating a diet high in grain + local vegetables with relatively low lipids and animal protein, African children’s flora contains a noticeable excess of Prevotella and Xylanibacter [83]. Shigella and
Bai et al. [78] discovered connections between exercise regularity and gut flora composition in a study of teenagers. Daily exercise increases gut microbial diversity by producing more SCFAs, via stimulating the production of adhesion molecules in colon epithelia, which may aid to improve gut barrier resilience, limiting mucosal leakage, and modulating cytokine secretion [78, 86].
The idea for studying obese people’s gut microorganisms came from the idea that gut flora might be a vital component of their long-term health. The earliest evidence of a link between gut flora and obesity was discovered in germless mouse studies. The quantity of fat and insulin sensitivity inside the transplanted increased even when food consumption was reduced, showing that gut microbes may help the recipient in the formation of adipose tissue [87]. Its Firmicutes ratio rose sharply in fat mice [88], showing that the obese mice’s microbiome was good at taking energy from the feed. Systems can be seen in individuals; for instance, in the guts of obese children, their ratio of Firmicutes climbed whereas the quantity of Bacteroidetes decreased [89]. The Firmicutes/Bacteroidetes ratio increased as BMI increased, according to a study of the Ukrainian population [90].
In overweight and obese people, supplementing with
Obese and Microbe Features | Preclinical or clinical | subjects | References |
---|---|---|---|
Firmicutes/Bacteroidetes ratio increased | Preclinical | Mice | [12, 24] |
Clinical | Childhood | [50] | |
Clinical | Adult Ukrainian population | [51] | |
Increased Akkermansia population reduced body weight | Clinical | Human | [52] |
preclinical | Mice | [95] | |
Bifidobacteria reduced | Preclinical | Rats | [55] |
Methanobacteriales smithii and Bifidobacterium were associated with normal weight | Clinical | Human | [96] |
Linkage of obesity with gut microbiomes.
Firmicutes and Bacteroidetes, for particular, have been identified as obesity-promoting intestinal flora, which can lead to the growth of obese [97].
Ruminiococcus, Candida, and Lactobacillus have been the most prevalent representatives of the phylum Firmicutes phylum Bacteroidetes in the gut bacteria, accounting for 90% of types of bacteria [44, 98]. Regulating glucagon-like peptide 1 release may aid to alleviate insulin sensitivity and obesity in way of eating obese C57BL/6 J mice given antibiotics [99]. Inside the intestines of adult C57BL/6 J rats fed a strong diet, firmicutes were found mainly [100]. In obese people and obese mice, a great proportion of Firmicutes to Bacteroidetes has just been reported as an adiposity trait of the gut microbiome [42]. Obese women having elevated toll-like receptor 5 gene expression were also shown to have a greater number of the genus [101]. Egyptian researchers examined the gut microbiome of 51 obese persons (23 kids and 28 individuals) to the gut microbiome of 28 healthy individuals in a study. In a survey of 17 children and 11 adults, researchers observed that the phyla Firmicutes and Bacteroidetes were significantly higher in the obese group (p 0.001, p = 0.003) [102]. Lactobacillus has been divided into various subgroups, each of which has been associated with obesity and the genesis of obesity. A variety of key enzymes are missing in bacteria that promote weight gain, including sugar enzymes, antioxidants, and dextrin, L-rhamnose, or acetate synthetases [103].
The three principal Bacteroidetes taxa present in the human stomach are Bacteroides, Prevotella, and Porphyromonas. Bacteroides account for more than a third of all gut bacteria, and it’s particularly prevalent in Westerners who consume a high-fat or high-sugar diet [104]. Together in a controlled trial with 138 babies aged 3 years, the utilization of Bacteroides in the intestines was found to be positively associated with bodyweight [105]. Bifidobacteria and Lactobacillus species have also been linked to weight increase in children [106, 107].
Certain gut microbiota species have been reported to have anti-obesity characteristics, in contrast to the obesogenic gut microbiota. In the next part, Bifid bacteria, Lactobacillus subspecies, and Bacteroidetes are investigated as anti-obesity gut microbiota.
C57BL/6 J mice were given
Despite the reality that some Lacto strains were linked to obesity, most of the Bacillus species were found to have a pro function [98]. Lactobacillus aided fat loss in animals, whereas Bacterium gasseri aided weight loss for both obese people and animals, as per a meta-analysis [111]. Lactobacillus cultures 031 CE reduced lipid levels and the activity of aspartate transaminase and alanine transaminase in the hepatic Institute of Cancer Research mice high-fat- fat diet [110]. With down-regulating- regulating TNF-, interleukin-1, and Nuclear factor and upregulating IL-10 and tight junction, Bacteria sakei OK67 treatment to fat-fed mice greatly lower body or epididymides fat excess weight [112]. Par-, PR domain containing 16, Par- coactivator-1, growth factor protein 7, and fibroblast growth factor 21, were all increased by Bacteria consisting of a resistor 263 in Adult male rats [113].
To provide energy to their humans, obese rats consume more carbohydrates via their gut bacteria [114, 115]. When bacteria mice colonized predominantly by the obesity microbiota’ did not change their food or weight, their total body fat increased in comparison to mice colonized by the Chilean biome’ [88]. Obese people’s gut microbiota has a larger capacity for absorbing energy from meals, according to the study. Obese mice had higher lipid uptake, according to a multi-omics study. In germ-free mice, Clostridia colonization downregulates genetic variants’ fat intake [47]. In a way, the gut bacteria of fat people may produce more impact energy, leading to higher energy and weight growth. Difficult-to-digest carbohydrates are fermented by gut bacteria into short-chain fatty acids, which are either eaten or expelled in the stool. Short-chain fatty acids are necessary to maintain energy balance [116]. SCFAs have lately received a lot of attention for their positive effects on cellular integrity and lipid metabolism, although their relevance in obesity is still debatable. Intestinal permeability, metabolic disease indicators, obesity, and hypertension have all been associated with increased fecal SCFA levels [117].
The gut microbiota has become one of the most transcription factors of intestine connection. Within the study of the morphological and molecular origins of obesity and associated illnesses, the gastrointestinal system pathway has attracted much interest. Hormonal, immunological, or neurological pathways connect both brains with the microbiome [118]. The intestinal microbiota link influences the nerve cells of said individual. The autonomic nervous system can affect the makeup and structure of the gut flora. Microbiomes affect cognitive activity in a variety of ways, including by influencing the synthesis of neuropeptides like dopamine, which are critical for gastrointestinal function regulation [119]. Lactate, a nerve terminal fuel generated by Lactobacillus and Bifidobacterium, has now been demonstrated to enhance satisfaction following a meal [120]. Protracted hunger suppression controlled via hypothalamic neurotransmitter energetic pathways can be paired with short-term stomach pleasure regulation linked with bacterial proliferation [121]. Table 2 depicts the obesity process as part of gut flora.
Influence | Features of Microbes | Process | References |
---|---|---|---|
Load capacity has increased. | Streptomyces depletion with Sulfolobus proliferation | The expression in genes that govern lipid absorption, such as CD36, has increased. | [122] |
The host will have more energy. | Fusobacterium, Roseburia feces, and other Cycle life grew in number, whereas | Short-chain fatty acids in abundance | [117] |
Hunger rise | Clostridial clusters XIVa and IV prevail in this colony. | Neuropeptide levels were significantly lower in obese subjects. | [123, 124, 125] |
Fat accumulation has increased. | Gut bacteria from normally grown mice were transferred into microbe mice. | Increased synthesis of Articulate and Depositors, which activates LPL and helps triglyceride entry into the bloodstream out from the liver, suppresses Fiaf. | [87] |
Adiposity caused by gut microbes.
In 2004, it was shown that gut microbes can influence fat accumulation [87]. The gut bacteria upregulates two key signaling pathways, glycemic reaction component binding domain or cholesterol control component related proteins, causing fat to accumulate in hepatic. Lipids directly stimulate through the liver, where they can be absorbed via visceral fat, thanks to lipoprotein lipase. Fiaf, an LPL regulator, is produced by intestinal epithelial cells. Normal mouse intestinal epithelial cells have Fiaf inhibited, allowing the host to store more energy.
A combination of genetic and chemical variables impacts obesity. The microbe is thought to be influenced by inheritance. In actuality, several gene mutations might be responsible for changes in the structure but also diversity of the intestinal microbiota in obese people. A connection between twin genetic variation and distinct microbial species was discovered using whole-genome correlation. More than a dozen gut microbes have been linked to good health [126]. Genes affect bacteria, as evidenced by Probiotic bacteria and the lactose intolerance genome cluster [126] and AMY1-CN as candidate genes linked to the shape and severity of the microbial [127]. It’s also possible that the gut microbiota is handed down from mother to kid. The gastrointestinal tract of spore mice was shown to be relatively stable in succession studies. In most cases, these bacteria make up a great proportion of the gut flora of mice, suggesting that rodents get the majority of their intestinal flora from their mothers [128]. The microbial community may be detected in the womb, synovial fluid, amniotic fluid, and even mucus, according to the study, so parental microbes could have a major impact on the development of the child’s microflora [129]. Obesity is caused by a variety of causes, one of which is a bad diet. In industrialized nations and places, the consumption of high-fat and high-sugar meals has steadily increased, increasing obesity. Changes in nutrition have a profound impact on intestinal flora since gut bacteria rely on human food for survival and energy. Bacteroidetes were detected in reduced quantities in rats given a strong diet, although Firmicutes or Proteobacteria were found in higher levels. Similar changes were observed in mice who were not overweight, implying as saturated cholesterol would have a detrimental influence on this microbiota [130, 131]. The gut microbiota can be dysbiotic due to both hereditary and environmental causes. Figure 1 shows that dysregulation could indeed affect energy uptake through transcriptional but also heavily rely on short-chain lipids, and also enhance core hunger via the intestine pivot, intestines estrogen, or neuropeptides; restrict fat metabolism via signaling pathways and glycoprotein lysozyme; trigger serious swelling via immunomodulation cell proliferation but also lipoteichoic acid, and obstruct the sleep cycle by influencing. Obesity vulnerability tends to be enhanced by these variables.
Obesity emerges as a result of the microbiota’s dysregulation, which is produced by the microbiota’s immediate touch with local cells.
Sleep deprivation can also contribute to obesity. Sleep deprivation can impact intestinal flora and thus cause weight gain by interrupting sleep cycles. Insomnia led to huge dietary intake and long-term alterations within gut flora, with Lactobacillaceae and Ruminococcus content levels increasing and Lactobacillaceae abundance values dropping. These factors promote peripheral and visceral white adipose tissue irritation, and glycemic control changes [132]. Stress stimulates desire that leads to overweight by the application that regulates metabolism thus promoting the ingestion of desserts and fats meals [133].
Fruits, veggies, peppers, cereals, grain, and tea are just a few of the foods that were demonstrated to reduce obesity through modulating the microbiota and activity in the intestine [9, 134, 135].
Fruit is rich in phenolics, pectin, and xylose, which may help prevent obesity, cancer, and heart disease [136, 137]. A 122-person randomized trial in the United Kingdom discovered that increasing fruit and vegetable consumption altered the aspects of the human intestinal flora, with an increase through Clostridium providing a broad range of bromine and a decrease in pathogens Clostridia, which could be linked to obesity prevention [138].
As shown in Figure 2, taking pro supplements Organic vegetables in the diet boosts pro gut flora while reducing obesity-promoting bacteria. Toxins produced by a gastrointestinal microbiota with amplitude modulation may help with weight loss by lowering ghrelin, reducing fat storage by bottom triglycerides and up-regulating adipocytes charring, enhancing gastric mucosal feature, but also reducing intestine soreness by lowering Tumor necrosis factor, Nuclear factor, or Lipid polysaccharides, and improving gut mucosal function.
Mechanisms of dietary plant weight reduction benefits through gut bacteria modifications.
Grapes are a nutrient-dense fruit that is abundant in resveratrol, a natural flavonoid with a slew of health advantages [136, 137]. In HFD-fed rats, resveratrol reduced weight growth and subcutaneous adipose weight while boosting the Bacteroidetes to Genera ratios, Streptococcus, and Probiotics while decreasing
Firmicutes, Bifidobacteria,
Many currants, such as blueberries, black currants, and plant-feeding-feeding- feeding, have been known as the anti properties by affect the gut flora [141, 142, 143]. By lowering Tumor necrosis factor or interleukin levels, enhancing insulin production, and raising Gammaproteobacteria density in Wistar rats, blueberries powdered may protect them against High fat-induced inflammation [144].
Pro bacteria like Akkermansia and Desulfovibrio can also be increased and whole black raspberries may lower intestinal inflammation [145]. Proanthocyanidins, a polyphenols duo prevalent in strawberries, were given to adult Zealand white bunnies for twelve weeks to alleviate nutrition adiposity by raising the quantity of Bifidobacteria at the phylum level and Akkermansia at the genera [146].
In diabetic mice on the High - fat diet, mangoes with 10% restored the frequency of Bifidobacteria and Akkermansia, lowering intestinal microbiota coccidiosis [147]. Poly methoxy flavones and hydroxyl poly ethoxy flavones, both found in citrus peels, have been shown to reduce body mass and adipocytes bulk in high-fat-fed mice by lowering oil droplets, perilipin 1 nutrients, and glycosides controlling signal sequence 1, as well as raising Prevotella and reducing rc4–4 microbes within rat digestive tract [148].
In terms of attributes, a chloroplast component found in all green vegetable tissue has been shown to enhance weight reduction in rats by boosting
In nutrition obese mice, pea flour had a considerable anti-obesity impact and enhanced the Bacteroidetes to Firmicutes ratio [150]. Soy proteins are known to reduce rat fat mass or fat percentage by 10%, enhance hepatotoxicity and tertiary bile acids, and enhance Lactobacillus prevalence while reducing Blautia, and Lachnospiraceae richness [151]. Likewise, mung bean proteins, that are high in 8-globulin, are said to reduce adiposity formation and excess weight caused by the HFD, as well as ketoacidosis [152]. Mung bean proteins, on the other hand, were linked to an increase in Bifidobacteria and just a decline in Genus, a raise in intestine glucosidase potential associated tiers, and a higher primary biliary total acidity.
Tea has been a popular beverage for a long time. Tea has recently shown anti-obesity capabilities through a variety of means, including lowering fat accumulation in cells and changing gut microbiota [153]. However, dosing of C57BL/6 J mice with crude extract of green, oolong, and black tea indicated that these tea extracts improved glycemic control and also decreased weight gain through modifying the gut microbiota. The Rikenellaceae and Desulfovibrionaceae families were decreased in number, leading to greater SCFA levels, lower lipopolysaccharide tiers, and improved glucose metabolism [154]. By enhancing the percentages of Genus to Bifidobacteria and Bifidobacteria to Lactobacilli, and also flattening the looks of lipid metabolism and offensive genetic makeup in white adipose tissue, kefir black tea effectively reduced weight gain but also abdominal obesity in obese rats without any influence on caloric intake [155].
Herbs have such a longstanding experience of usage in food flavoring, while polyphenol found in spices has been demonstrated to get a variety of bioactivity, Anti-obesity, anti-cancer, anti-inflammatory, and anti-bacterial growth suppression are only a few of the benefits [156, 157]. Turmeric contains curcumin, which is a key bioactive component with a lengthy range of health benefits. Turmeric has been demonstrated to have a significant effect on the public of certain intestinal microbiota in mice, notably Lactobacilli, Bacteroidaceae, and Rikenella, which have both been linked to obesity-related illnesses [135]. Curcumin decreased weight gain in obese menopausal rats without affecting estrogen levels and improved gut microbiota diversity [158].
Because capsaicin is a key component of chili’s bioactive components, it’s one of the most popular hot flavors. According to studies [159], capsaicin reduced weight gain and inactivated the muscarinic receptor type 1 in rats on the High - fat diet. Capsaicin reduced microorganisms and increased Aeruginosa muciniphila in high-fat-fed mice [160].
The most prevalent compounds in gut flora are sterols, which have some important pharmacological roles in keeping the host alive. By functioning as a link between the intestinal microbiota and the host, these chemicals influence barrier function, irritation regulation, bile salt conversion, immunological activity, and infection control. Despite their modest levels in the vascular, acetate and benzoate have direct impacts on organs by activating the hormonal and neurologic systems. For example, pectin is both a fossil fuel for epithelium and a histone deacetylase inhibitor that affects gene expression and cell destiny [161]. In adults, phytic acid suppresses fatty acid synthesis while simultaneously acting as a moderate pro in the gut [162]. Likewise, the microbiota’s citric acid serves a variety of physiologic purposes. It is a precursor for lipid production [163], and an appetite suppressant via a primary hypothalamus pathway [164].
Short-chain fatty acids, primarily butyric acid, provide around 70% of fuel to the epithelium [165]. Acetic, propionic, and butyric acids can thus operate as both anabolic nutrients and chemical messengers in a wide range of cell activities [34].
Indigestible carbohydrate fibfibersres provide an extra biochemical energy source for the gut flora. Sulfonamides, the major metabolic byproducts, can be used for Vivo lipid or glycogen production [12]. The change in Short-chain- chain fatty acids levels in obese could be attributed to intestinal bacteria in the gut microbiome. This complex microbial population has a higher metabolic ability and performs a variety of tasks in the human gut [87].
The gut bacteria aid in the breakdown of raw carbohydrates into readily digestible oligosaccharides, as well as villus epithelial triglyceride lipase activity and Short-chain fatty acids synthesis [166], both of which are important for the host’s nutrition and energy management. Intestinal bacteria may contribute to obesity by increasing nutrition and altering host lipid metabolic activity, as well as fueling homeostasis through its metabolites [167]. It’s not unexpected that changes in intestinal flora diversity, with Firmicutes being more numerous in obese than lean patients, cause problems with energy uptake and management [28]. In the Netherlands, obese and overweight people exhibited higher fecal matter Short-chain- chain fatty acids concentrations and more Genera than their slim equivalents, according to research. Obese people are expected to yield more colon SCFA, implying a higher microbial power harvest [168, 169], confirming the theory that changes in SCFA levels in obesity are caused by dysregulation in the colon microbiome. Even more clearly, the gut flora influences weight control via SCFAs, altering energy imbalance and DNA synthesis through miRNAs [79].
Every person’s gut microbiota is unique to them. In the formative years (4–36 months), intestine maturity shapes fundamental native flora, which is influenced by that does, birth gestation age, type of delivery, milky nursing techniques, weaning duration, lifestyle, and dietary and sociocultural practices. The gut microbiota, which plays a vital role in individual energy balance, is connected to obesity. Because some gut microorganisms associated with Lactobacillus, Genera, and Bifidobacteria are linked to weight increase, whereas Bifidobacterium, most Lactobacillus, and some Bifidobacteria have anti-obesity functions, the effects of intestinal microbiota on obesity development are species-dependent. Obesity is linked to a dysregulation of gut flora. Obesity has indeed been connected to a variety of bacteria in the intestine. They raise the recipient’s elastic modulus, and hypothalamic desire, including fat deposition, promoting the start and progression of obesity. Because of the diversity and variety of gut microbes, the strategy whereby it induces obesity needs to be researched further. Adiposity is the outcome of the interaction of genetic and environmental factors. A range of dietary items, including fruits (grapes, apples, and berries), vegetables, spices, legumes, cereals, and tea, have been demonstrated to modify the composition in some recent experimental and epidemiological investigations. Obese and overweight persons have greater amounts of Short-chain-chain fatty acids and more Genera in their feces than slender ones. Future research will concentrate on research methodology using survey strategy to best investigate the function of the intestinal flora link, substitute research of conservation concerns to spot possible microbial delegates of gut bacteria related to diet, and specific microbiomes regulation for obese people.
We thank the digital library GCUF for providing access to the publication.
There is no conflict of interest as declared by all authors.
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by"}},{type:"book",id:"10017",title:"Optoelectronics",subtitle:null,isOpenForSubmission:!1,hash:"e20f25706d03f0c52ac852f7fa2375e7",slug:"optoelectronics",bookSignature:"Mike Haidar Shahine",coverURL:"https://cdn.intechopen.com/books/images_new/10017.jpg",editedByType:"Edited by",editors:[{id:"102474",title:"Dr.",name:"Mike Haidar",middleName:null,surname:"Shahine",slug:"mike-haidar-shahine",fullName:"Mike Haidar Shahine"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"7886",title:"Photodynamic Therapy",subtitle:"From Basic Science to Clinical Research",isOpenForSubmission:!1,hash:"d7ef096c2bcf9efbda76d7631ce1e3ac",slug:"photodynamic-therapy-from-basic-science-to-clinical-research",bookSignature:"Natalia Mayumi Inada, Hilde Harb Buzzá, Kate Cristina Blanco and Lucas Danilo Dias",coverURL:"https://cdn.intechopen.com/books/images_new/7886.jpg",editedByType:"Edited by",editors:[{id:"90788",title:"Dr.",name:"Natalia Mayumi",middleName:null,surname:"Inada",slug:"natalia-mayumi-inada",fullName:"Natalia Mayumi Inada"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}],booksByTopicTotal:155,seriesByTopicCollection:[],seriesByTopicTotal:0,mostCitedChapters:[{id:"32842",doi:"10.5772/34901",title:"Sterilization by Gamma Irradiation",slug:"sterilization-by-gamma-irradiation",totalDownloads:74766,totalCrossrefCites:37,totalDimensionsCites:85,abstract:null,book:{id:"1590",slug:"gamma-radiation",title:"Gamma Radiation",fullTitle:"Gamma Radiation"},signatures:"Kátia Aparecida da Silva Aquino",authors:[{id:"102109",title:"Dr.",name:"Katia",middleName:"Aparecida Da S.",surname:"Aquino",slug:"katia-aquino",fullName:"Katia Aquino"}]},{id:"49652",doi:"10.5772/61720",title:"Sample Preparations for Scanning Electron Microscopy – Life Sciences",slug:"sample-preparations-for-scanning-electron-microscopy-life-sciences",totalDownloads:8726,totalCrossrefCites:37,totalDimensionsCites:83,abstract:"Sample preparations are essential in scanning electron microscopy. Flawed sample preparations can undermine the quality of results and lead to false conclusions. Thus, the aim of this chapter is to equip researchers, post graduate students and technicians with essential knowledge required to prepare samples for scanning electron microscopy (SEM) investigations in the life sciences.",book:{id:"5075",slug:"modern-electron-microscopy-in-physical-and-life-sciences",title:"Modern Electron Microscopy in Physical and Life Sciences",fullTitle:"Modern Electron Microscopy in Physical and Life Sciences"},signatures:"Mogana Das Murtey and Patchamuthu Ramasamy",authors:[{id:"176330",title:"Dr.",name:"Mogana",middleName:"Das",surname:"Murtey",slug:"mogana-murtey",fullName:"Mogana Murtey"},{id:"181159",title:"Mr.",name:"Patchamuthu",middleName:null,surname:"Ramasamy",slug:"patchamuthu-ramasamy",fullName:"Patchamuthu Ramasamy"}]},{id:"30963",doi:"10.5772/34176",title:"Microstructural and Mineralogical Characterization of Clay Stabilized Using Calcium-Based Stabilizers",slug:"microstructural-and-mineralogical-characterization-of-clay-stabilized-using-calcium-based-stabilizer",totalDownloads:6789,totalCrossrefCites:29,totalDimensionsCites:48,abstract:null,book:{id:"1505",slug:"scanning-electron-microscopy",title:"Scanning Electron Microscopy",fullTitle:"Scanning Electron Microscopy"},signatures:"Pranshoo Solanki and Musharraf Zaman",authors:[{id:"20942",title:"Prof.",name:"Pranshoo",middleName:null,surname:"Solanki",slug:"pranshoo-solanki",fullName:"Pranshoo Solanki"},{id:"20945",title:"Prof.",name:"Musharraf",middleName:null,surname:"Zaman",slug:"musharraf-zaman",fullName:"Musharraf Zaman"}]},{id:"26791",doi:"10.5772/28067",title:"Optical Vortices in a Fiber: Mode Division Multiplexing and Multimode Self-Imaging",slug:"optical-vortices-in-a-fiber-mode-division-multiplexing-and-multimode-self-reproducing",totalDownloads:4530,totalCrossrefCites:29,totalDimensionsCites:47,abstract:null,book:{id:"2018",slug:"recent-progress-in-optical-fiber-research",title:"Recent Progress in Optical Fiber Research",fullTitle:"Recent Progress in Optical Fiber Research"},signatures:"S.N. Khonina, N.L. Kazanskiy and V.A. Soifer",authors:[{id:"72613",title:"Prof.",name:"Svetlana",middleName:null,surname:"Khonina",slug:"svetlana-khonina",fullName:"Svetlana Khonina"}]},{id:"49655",doi:"10.5772/61830",title:"Electrical Discharge in Water Treatment Technology for Micropollutant Decomposition",slug:"electrical-discharge-in-water-treatment-technology-for-micropollutant-decomposition",totalDownloads:4985,totalCrossrefCites:31,totalDimensionsCites:44,abstract:"Hazardous micropollutants are increasingly detected worldwide in wastewater treatment plant effluent. As this indicates, their removal is insufficient by means of conventional modern water treatment techniques. In the search for a cost-effective solution, advanced oxidation processes have recently gained more attention since they are the most effective available techniques to decompose biorecalcitrant organics. As a main drawback, however, their energy costs are high up to now, preventing their implementation on large scale. For the specific case of water treatment by means of electrical discharge, further optimization is a complex task due to the wide variety in reactor design and materials, discharge types, and operational parameters. In this chapter, an extended overview is given on plasma reactor types, based on their design and materials. Influence of design and materials on energy efficiency is investigated, as well as the influence of operational parameters. The collected data can be used for the optimization of existing reactor types and for development of novel reactors.",book:{id:"5093",slug:"plasma-science-and-technology-progress-in-physical-states-and-chemical-reactions",title:"Plasma Science and Technology",fullTitle:"Plasma Science and Technology - Progress in Physical States and Chemical Reactions"},signatures:"Patrick Vanraes, Anton Y. Nikiforov and Christophe Leys",authors:[{id:"49112",title:"Prof.",name:"Christophe",middleName:null,surname:"Leys",slug:"christophe-leys",fullName:"Christophe Leys"},{id:"176861",title:"Dr.",name:"Anton",middleName:null,surname:"Nikiforov",slug:"anton-nikiforov",fullName:"Anton Nikiforov"},{id:"176862",title:"Mr.",name:"Patrick",middleName:null,surname:"Vanraes",slug:"patrick-vanraes",fullName:"Patrick Vanraes"}]}],mostDownloadedChaptersLast30Days:[{id:"49562",title:"Laser-Induced Plasma and its Applications",slug:"laser-induced-plasma-and-its-applications",totalDownloads:4709,totalCrossrefCites:12,totalDimensionsCites:26,abstract:"The laser irradiation have shown a range of applications from fabricating, melting, and evaporating nanoparticles to changing their shape, structure, size, and size distribution. Laser induced plasma has used for different diagnostic and technological applications as detection, thin film deposition, and elemental identification. The possible interferences of atomic or molecular species are used to specify organic, inorganic or biological materials which allows critical applications in defense (landmines, explosive, forensic (trace of explosive or organic materials), public health (toxic substances pharmaceutical products), or environment (organic wastes). Laser induced plasma for organic material potentially provide fast sensor systems for explosive trace and pathogen biological agent detection and analysis. The laser ablation process starts with electronic energy absorption (~fs) and ends at particle recondensation (~ms). Then, the ablation process can be governed by thermal, non-thermal processes or a combination of both. There are several types of models, i.e., thermal, mechanical, photophysical, photochemical and defect models, which describe the ablation process by one dominant mechanism only. Plasma ignition process includes bond breaking and plasma shielding during the laser pulse. Bond breaking mechanisms influence the quantity and form of energy (kinetic, ionization and excitation) that atoms and ions can acquire. Plasma expansion depends on the initial mass and energy in the plume. The process is governed by initial plasma properties (electron density, temperature, velocity) after the laser pulse and the expansion medium. During first microsecond after the laser pulse, plume expansion is adiabatic afterwards line radiation becomes the dominant mechanism of energy loss.",book:{id:"5093",slug:"plasma-science-and-technology-progress-in-physical-states-and-chemical-reactions",title:"Plasma Science and Technology",fullTitle:"Plasma Science and Technology - Progress in Physical States and Chemical Reactions"},signatures:"Kashif Chaudhary, Syed Zuhaib Haider Rizvi and Jalil Ali",authors:[{id:"176684",title:"Dr.",name:"Kashif Tufail",middleName:null,surname:"Chaudhary",slug:"kashif-tufail-chaudhary",fullName:"Kashif Tufail Chaudhary"},{id:"176867",title:"Dr.",name:"Syed Zuhaib",middleName:null,surname:"Haider Rizivi",slug:"syed-zuhaib-haider-rizivi",fullName:"Syed Zuhaib Haider Rizivi"},{id:"176868",title:"Prof.",name:"Jalil",middleName:null,surname:"Ali",slug:"jalil-ali",fullName:"Jalil Ali"}]},{id:"52164",title:"An Overview on Quantum Cascade Lasers: Origins and Development",slug:"an-overview-on-quantum-cascade-lasers-origins-and-development",totalDownloads:3232,totalCrossrefCites:2,totalDimensionsCites:11,abstract:"This chapter presents an introductory review on quantum cascade lasers (QCLs). An overview is prefaced, including a brief description of their beginnings and operating basics. Materials used, as well as growth methods, are also described. The possibility of developing GaN-based QCLs is also shown. Summarizing, the applications of these structures cover a broad range, including spectroscopy, free-space communication, as well as applications to near-space radar and chemical/biological detection. Furthermore, a number of state-of-the-art applications are described in different fields, and finally a brief assessment of the possibilities of volume production and the overall state of the art in QCLs research are elaborated.",book:{id:"5389",slug:"quantum-cascade-lasers",title:"Quantum Cascade Lasers",fullTitle:"Quantum Cascade Lasers"},signatures:"Raúl Pecharromán-Gallego",authors:[{id:"188866",title:"Dr.",name:"Raúl",middleName:null,surname:"Pecharromán-Gallego",slug:"raul-pecharroman-gallego",fullName:"Raúl Pecharromán-Gallego"}]},{id:"49526",title:"Focused Ion Beams (FIB) — Novel Methodologies and Recent Applications for Multidisciplinary Sciences",slug:"focused-ion-beams-fib-novel-methodologies-and-recent-applications-for-multidisciplinary-sciences",totalDownloads:4299,totalCrossrefCites:5,totalDimensionsCites:11,abstract:"Considered as the newest field of electron microscopy, focused ion beam (FIB) technologies are used in many fields of science for site-specific analysis, imaging, milling, deposition, micromachining, and manipulation. Dual-beam platforms, combining a high-resolution scanning electron microscope (HR-SEM) and an FIB column, additionally equipped with precursor-based gas injection systems (GIS), micromanipulators, and chemical analysis tools (such as energy-dispersive spectra (EDS) or wavelength-dispersive spectra (WDS)), serve as multifunctional tools for direct lithography in terms of nano-machining and nano-prototyping, while advanced specimen preparation for transmission electron microscopy (TEM) can practically be carried out with ultrahigh precision. Especially, when hard materials and material systems with hard substrates are concerned, FIB is the only technique for site-specific micro- and nanostructuring. Moreover, FIB sectioning and sampling techniques are frequently used for revealing the structural and morphological distribution of material systems with three-dimensional (3D) network at micro-/nanoscale.This book chapter includes many examples on conventional and novel processes of FIB technologies, ranging from analysis of semiconductors to electron tomography-based imaging of hard materials such as nanoporous ceramics and composites. In addition, recent studies concerning the active use of dual-beam platforms are mentioned",book:{id:"5075",slug:"modern-electron-microscopy-in-physical-and-life-sciences",title:"Modern Electron Microscopy in Physical and Life Sciences",fullTitle:"Modern Electron Microscopy in Physical and Life Sciences"},signatures:"Meltem Sezen",authors:[{id:"176338",title:"Associate Prof.",name:"Meltem",middleName:null,surname:"Sezen",slug:"meltem-sezen",fullName:"Meltem Sezen"}]},{id:"50866",title:"Effects of Different Laser Pulse Regimes (Nanosecond, Picosecond and Femtosecond) on the Ablation of Materials for Production of Nanoparticles in Liquid Solution",slug:"effects-of-different-laser-pulse-regimes-nanosecond-picosecond-and-femtosecond-on-the-ablation-of-ma",totalDownloads:6073,totalCrossrefCites:10,totalDimensionsCites:34,abstract:"Ultra-short laser pulse interaction with materials has received much attention from researchers in micro- and nanomachining, especially for the generation of nanoparticles in liquid environments, because of the straightforward method and direct application for organic solvents. In addition, the colloidal nanoparticles produced by laser ablation have very high purity—they are free from surfactants and reaction products or by-products. In this chapter, nanosecond, picosecond and femtosecond laser pulse durations are compared in laser material processing. Due to the unique properties of the short and ultra-short laser pulse durations in material processing, they are more apparent in the production of precision material processing and generation of nanoparticles in liquid environments.",book:{id:"5236",slug:"high-energy-and-short-pulse-lasers",title:"High Energy and Short Pulse Lasers",fullTitle:"High Energy and Short Pulse Lasers"},signatures:"Abubaker Hassan Hamad",authors:[{id:"183494",title:"Dr.",name:"Abubaker",middleName:"Hassan",surname:"Hamad",slug:"abubaker-hamad",fullName:"Abubaker Hamad"}]},{id:"49537",title:"Electron Diffraction",slug:"electron-diffraction",totalDownloads:10111,totalCrossrefCites:10,totalDimensionsCites:31,abstract:"Electron microscopes are usually supplied with equipment for obtaining diffraction patterns and micrographs from the same area of a specimen and the best results are attained if the complete use is to be made of these combined facilities. Electron diffraction patterns are used to obtain quantitative data including phase identification, orientation relationship and crystal defects in materials, etc. At first, a general introduction including a geometrical and quantitative approach to electron diffraction from a crystalline specimen, the reciprocal lattice and electron diffraction in the electron microscope are presented. The scattering process by an individual atom as well as a crystal, the Bragg law, Laue conditions and structure factor are also discussed. Types of diffraction patterns such as ring pattern, spot pattern and Kikuchi pattern, and general and unique indexing diffraction patterns are explained. The procedure for indexing simple, complicated and imperfect patterns as well as Kikuchi lines and a combination of Kikuchi lines and spots is outlined. The known and unknown materials are identified by indexing patterns. Practical comparisons between various methods of analysing diffraction patterns are also described. The basic diffraction patterns and the fine structure in the patterns including specimen tilting experiments, orientation relationship determination, phase identification, twinning, second phases, crystallographic information, dislocation, preferred orientation and texture, extra spots and streaks are described in detail. Finally, electron diffraction patterns of new materials are investigated.",book:{id:"5075",slug:"modern-electron-microscopy-in-physical-and-life-sciences",title:"Modern Electron Microscopy in Physical and Life Sciences",fullTitle:"Modern Electron Microscopy in Physical and Life Sciences"},signatures:"Mohsen Asadi Asadabad and Mohammad Jafari Eskandari",authors:[{id:"176352",title:"Dr.",name:"Mohsen",middleName:null,surname:"Asadi Asadabad",slug:"mohsen-asadi-asadabad",fullName:"Mohsen Asadi Asadabad"},{id:"177600",title:"Dr.",name:"Mohammad",middleName:null,surname:"Jafari Eskandari",slug:"mohammad-jafari-eskandari",fullName:"Mohammad Jafari Eskandari"}]}],onlineFirstChaptersFilter:{topicId:"20",limit:6,offset:0},onlineFirstChaptersCollection:[{id:"82228",title:"Nonlinear Intelligent Predictive Control for the Yaw System of Large-Scale Wind Turbines",slug:"nonlinear-intelligent-predictive-control-for-the-yaw-system-of-large-scale-wind-turbines",totalDownloads:6,totalDimensionsCites:0,doi:"10.5772/intechopen.105484",abstract:"This chapter presents a nonlinear intelligent predictive control using multi-step prediction model for the electrical motor-based yaw system of an industrial wind turbine. The proposed method introduces a finite control set under constraints for the demanded yaw rate, predicts the multi-step yaw error using the control set element and the prediction wind directions, and employs an exhaustive search method to search the control output candidate giving the minimal value of the objective function. As the objective function is designed for a joint power and actuator usage optimization, the weighting factor in the objective function is optimally determined by the fuzzy regulator that is optimized by an intelligent algorithm. Finally, the proposed method is demonstrated by simulation tests using real wind direction data.",book:{id:"11499",title:"Nonlinear Systems - Recent Developments and Advances",coverURL:"https://cdn.intechopen.com/books/images_new/11499.jpg"},signatures:"Dongran Song, Ziqun Li, Jian Yang, Mi Dong, Xiaojiao Chen and Liansheng Huang"},{id:"82102",title:"Vortex Analysis and Fluid Transport in Time-Dependent Flows",slug:"vortex-analysis-and-fluid-transport-in-time-dependent-flows",totalDownloads:9,totalDimensionsCites:0,doi:"10.5772/intechopen.105196",abstract:"In this contribution, we present a set of procedures developed to identify fluid flow structures and characterize their space-time evolution in time-dependent flows. In particular, we consider two different contests of importance in applied fluid mechanics: 1) large-scale almost 2D atmospheric and oceanic flows and 2) flow inside the left ventricle in the human blood circulation. For both cases, we designed an ad hoc experimental model to reproduce and deeply investigate the considered phenomena. We will focus on the post-processing of high-resolution velocity data sets obtained via laboratory experiments by measuring the flow field using a technique based on image analysis. We show how the proposed methodologies represent a valid tool suitable for extracting the main patterns and quantify fluid transport in complex flows from both Eulerian and Lagrangian perspectives.",book:{id:"10958",title:"Vortex Dynamics - From Physical to Mathematical Aspects",coverURL:"https://cdn.intechopen.com/books/images_new/10958.jpg"},signatures:"Stefania Espa, Maria Grazia Badas and Simon Cabanes"},{id:"82222",title:"High-Lying Confined Subbands in Terahertz Quantum Cascade Lasers",slug:"high-lying-confined-subbands-in-terahertz-quantum-cascade-lasers",totalDownloads:5,totalDimensionsCites:0,doi:"10.5772/intechopen.105479",abstract:"In designing the terahertz quantum cascade lasers, electron injection manner indeed plays a significant role to achieve the population inversion. The resonant tunneling process is commonly employed for this injection process but waste more than 50% fraction of populations out of the active region owing to resonance alignment, and the injection efficiency is obviously degraded due to thermal incoherence. An alternative approach is to consider the phonon-assisted injection process that basically contributes to most of the populations to the upper lasing level. However, this manner is still not realized in experiments if a short-period design only containing two quantum wells is used. In this work, it is found in this design that the population inversion is indeed well improved; however, the optical gain is inherently low even at a low temperature. Those two opposite trends are ascribed to a strong parasitic absorption overlapping the gain. The magnitude of this overlap is closely related to the lasing frequency, where frequencies below 3 THz suffer from fewer effects.",book:{id:"11495",title:"Fundamentals and Application of Femtosecond Optics",coverURL:"https://cdn.intechopen.com/books/images_new/11495.jpg"},signatures:"Li Wang"},{id:"81917",title:"Fluidics for Reconfigurable Microwave Components",slug:"fluidics-for-reconfigurable-microwave-components",totalDownloads:11,totalDimensionsCites:0,doi:"10.5772/intechopen.104857",abstract:"Dielectric and conducting liquids with varying electromagnetic properties can offer novel alternatives for building tunable microwave passive components as well as antennas. Injecting these fluidics in or around microwave substrates alters their overall electrical characteristics, enabling circuit reconfigurability. Alternatively, changing the shapes and dimensions of conductors by using liquid metals can achieve similar reconfigurability. An overview of different liquids and their electromagnetic properties is first given. The principles behind the reconfigurability of the electrical characteristics of typical guiding structures based on mode shape variation in the presence of fluids are discussed. The realization of an N-bit programmable impedance tuner in 3D LTCC technology based on these principles is presented.",book:{id:"11145",title:"Recent Microwave Technologies",coverURL:"https://cdn.intechopen.com/books/images_new/11145.jpg"},signatures:"Dorra Bahloul, Ines Amor and Ammar Kouki"},{id:"82149",title:"Colorimetric Evaluations and Characterization of Natural and Synthetic Dyes/Pigments and Dyed Textiles and Related Products",slug:"colorimetric-evaluations-and-characterization-of-natural-and-synthetic-dyes-pigments-and-dyed-textil",totalDownloads:7,totalDimensionsCites:0,doi:"10.5772/intechopen.104774",abstract:"This book chapter covers principles and few case studies on colorimetric Estimation of (i) determining purity/active ingredient % of selective dyes/pigments (ii) Identification of any colorants to distinguish from other similar compound, (iii) Measurement of surface colour strength of a dyed textile, (iv) Measurement of colour differences by estimating DE, DL*, Da*, Db*, DC and DH values, (v)Computer-aided colour match prediction for any standard shades, (vi) Estimation of compatibility of two dyes/colourants to use for compound shades, (vii) Determination of rate of dyeing, dyeing isotherm and dyeing kinetics to control dyeing, (viii) Optimization of dyeing process variables, (ix) Precession grading of Colour Fastness of dyed textiles on fading under different ways/agencies and (x) Estimation of Soil Removal efficacy of different detergent used for textiles. These colorimetric measurements are found to be very useful for effective process and product control of dyed textile materials. Selected Case studies on all the above colorimetric applications with specific example or experimented data are discussed for each of the method under reference. Finally, the other applications of colorimetric analysis besides textiles industry are also mentioned in concluding remarks.",book:{id:"11002",title:"Colorimetry",coverURL:"https://cdn.intechopen.com/books/images_new/11002.jpg"},signatures:"Ashis Kumar Samanta"},{id:"82116",title:"Thermo-Rheological Effect on Weak Nonlinear Rayleigh-Benard Convection under Rotation Speed Modulation",slug:"thermo-rheological-effect-on-weak-nonlinear-rayleigh-benard-convection-under-rotation-speed-modulati",totalDownloads:10,totalDimensionsCites:0,doi:"10.5772/intechopen.105097",abstract:"The effects of rotation speed modulation and temperature-dependent viscosity on Rayleigh-Benard convection were investigated using a non-autonomous Ginzburg-Landau equation. The rotating temperature-dependent viscous fluid layer has been considered. The momentum equation with the Coriolis term has been used to describe finite-amplitude convective flow. The system is considered to be rotating about its vertical axis with a non-uniform rotation speed. In particular, we assume that the rotation speed is varying sinusoidally with time. Nusselt number is obtained in terms of the system parameters and graphically evaluated their effects. The effect of the modulated system diminishes the heat transfer more than the un-modulated system. Further, thermo-rheological parameter VT is found to destabilize the system.",book:{id:"11498",title:"Boundary Layer Flows - Modelling, Computation, and Applications of Laminar, Turbulent Incompressible and Compressible Flows",coverURL:"https://cdn.intechopen.com/books/images_new/11498.jpg"},signatures:"S.H. 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The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}}]},series:{item:{id:"10",title:"Physiology",doi:"10.5772/intechopen.72796",issn:"2631-8261",scope:"Modern physiology requires a comprehensive understanding of the integration of tissues and organs throughout the mammalian body, including the cooperation between structure and function at the cellular and molecular levels governed by gene and protein expression. While a daunting task, learning is facilitated by identifying common and effective signaling pathways mediated by a variety of factors employed by nature to preserve and sustain homeostatic life. \r\nAs a leading example, the cellular interaction between intracellular concentration of Ca+2 increases, and changes in plasma membrane potential is integral for coordinating blood flow, governing the exocytosis of neurotransmitters, and modulating gene expression and cell effector secretory functions. Furthermore, in this manner, understanding the systemic interaction between the cardiovascular and nervous systems has become more important than ever as human populations' life prolongation, aging and mechanisms of cellular oxidative signaling are utilised for sustaining life. \r\nAltogether, physiological research enables our identification of distinct and precise points of transition from health to the development of multimorbidity throughout the inevitable aging disorders (e.g., diabetes, hypertension, chronic kidney disease, heart failure, peptic ulcer, inflammatory bowel disease, age-related macular degeneration, cancer). With consideration of all organ systems (e.g., brain, heart, lung, gut, skeletal and smooth muscle, liver, pancreas, kidney, eye) and the interactions thereof, this Physiology Series will address the goals of resolving (1) Aging physiology and chronic disease progression (2) Examination of key cellular pathways as they relate to calcium, oxidative stress, and electrical signaling, and (3) how changes in plasma membrane produced by lipid peroxidation products can affect aging physiology, covering new research in the area of cell, human, plant and animal physiology.",coverUrl:"https://cdn.intechopen.com/series/covers/10.jpg",latestPublicationDate:"June 20th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:11,editor:{id:"35854",title:"Prof.",name:"Tomasz",middleName:null,surname:"Brzozowski",slug:"tomasz-brzozowski",fullName:"Tomasz Brzozowski",profilePictureURL:"https://mts.intechopen.com/storage/users/35854/images/system/35854.jpg",biography:"Prof. Dr. Thomas Brzozowski works as a professor of Human Physiology and is currently Chairman at the Department of Physiology and is V-Dean of the Medical Faculty at Jagiellonian University Medical College, Cracow, Poland. His primary area of interest is physiology and pathophysiology of the gastrointestinal (GI) tract, with the major focus on the mechanism of GI mucosal defense, protection, and ulcer healing. He was a postdoctoral NIH fellow at the University of California and the Gastroenterology VA Medical Center, Irvine, Long Beach, CA, USA, and at the Gastroenterology Clinics Erlangen-Nuremberg and Munster in Germany. He has published 290 original articles in some of the most prestigious scientific journals and seven book chapters on the pathophysiology of the GI tract, gastroprotection, ulcer healing, drug therapy of peptic ulcers, hormonal regulation of the gut, and inflammatory bowel disease.",institutionString:null,institution:{name:"Jagiellonian University",institutionURL:null,country:{name:"Poland"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:4,paginationItems:[{id:"10",title:"Animal Physiology",coverUrl:"https://cdn.intechopen.com/series_topics/covers/10.jpg",isOpenForSubmission:!0,editor:{id:"202192",title:"Dr.",name:"Catrin",middleName:null,surname:"Rutland",slug:"catrin-rutland",fullName:"Catrin Rutland",profilePictureURL:"https://mts.intechopen.com/storage/users/202192/images/system/202192.png",biography:"Catrin Rutland is an Associate Professor of Anatomy and Developmental Genetics at the University of Nottingham, UK. She obtained a BSc from the University of Derby, England, a master’s degree from Technische Universität München, Germany, and a Ph.D. from the University of Nottingham. She undertook a post-doctoral research fellowship in the School of Medicine before accepting tenure in Veterinary Medicine and Science. Dr. Rutland also obtained an MMedSci (Medical Education) and a Postgraduate Certificate in Higher Education (PGCHE). She is the author of more than sixty peer-reviewed journal articles, twelve books/book chapters, and more than 100 research abstracts in cardiovascular biology and oncology. She is a board member of the European Association of Veterinary Anatomists, Fellow of the Anatomical Society, and Senior Fellow of the Higher Education Academy. 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From\r\n1964 to 1974, he worked as Assistant in Biochemistry at the School of MedicineUniversidad Nacional de La Plata, Argentina. From 1974 to 1976, he was a Fellowof the National Institutes of Health (NIH) at the University of Connecticut, Health Center, USA. From 1985 to 2004, he served as a Full Professor oBiochemistry at the Universidad Nacional de La Plata, Argentina. He is Member ofthe National Research Council (CONICET), Argentina, and Argentine Society foBiochemistry and Molecular Biology (SAIB). His laboratory has been interested for manyears in the lipid peroxidation of biological membranes from various tissues and different species. Professor Catalá has directed twelve doctoral theses, publishedover 100 papers in peer reviewed journals, several chapters in books andtwelve edited books. Angel Catalá received awards at the 40th InternationaConference Biochemistry of Lipids 1999: Dijon (France). W inner of the Bimbo PanAmerican Nutrition, Food Science and Technology Award 2006 and 2012, South AmericaHuman Nutrition, Professional Category. 2006 award in pharmacology, Bernardo\r\nHoussay, in recognition of his meritorious works of research. Angel Catalá belongto the Editorial Board of Journal of lipids, International Review of Biophysical ChemistryFrontiers in Membrane Physiology and Biophysics, World Journal oExperimental Medicine and Biochemistry Research International, W orld Journal oBiological Chemistry, Oxidative Medicine and Cellular Longevity, Diabetes and thePancreas, International Journal of Chronic Diseases & Therapy, International Journal oNutrition, Co-Editor of The Open Biology Journal.",institutionString:null,institution:{name:"National University of La Plata",institutionURL:null,country:{name:"Argentina"}}},editorTwo:null,editorThree:null},{id:"12",title:"Human Physiology",coverUrl:"https://cdn.intechopen.com/series_topics/covers/12.jpg",isOpenForSubmission:!0,editor:{id:"195829",title:"Prof.",name:"Kunihiro",middleName:null,surname:"Sakuma",slug:"kunihiro-sakuma",fullName:"Kunihiro Sakuma",profilePictureURL:"https://mts.intechopen.com/storage/users/195829/images/system/195829.jpg",biography:"Professor Kunihiro Sakuma, Ph.D., currently works in the Institute for Liberal Arts at the Tokyo Institute of Technology. He is a physiologist working in the field of skeletal muscle. He was awarded his sports science diploma in 1995 by the University of Tsukuba and began his scientific work at the Department of Physiology, Aichi Human Service Center, focusing on the molecular mechanism of congenital muscular dystrophy and normal muscle regeneration. His interest later turned to the molecular mechanism and attenuating strategy of sarcopenia (age-related muscle atrophy). 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Additionally, to understand how to maintain and improve physical function in older adults, to conduct studies about the mechanism of sarcopenia and determine when possible interventions are needed.",institutionString:null,institution:{name:"Ritsumeikan University",institutionURL:null,country:{name:"Japan"}}},editorThree:null},{id:"13",title:"Plant Physiology",coverUrl:"https://cdn.intechopen.com/series_topics/covers/13.jpg",isOpenForSubmission:!0,editor:{id:"332229",title:"Prof.",name:"Jen-Tsung",middleName:null,surname:"Chen",slug:"jen-tsung-chen",fullName:"Jen-Tsung Chen",profilePictureURL:"https://mts.intechopen.com/storage/users/332229/images/system/332229.png",biography:"Dr. Jen-Tsung Chen is currently a professor at the National University of Kaohsiung, Taiwan. He teaches cell biology, genomics, proteomics, medicinal plant biotechnology, and plant tissue culture. Dr. Chen\\'s research interests include bioactive compounds, chromatography techniques, in vitro culture, medicinal plants, phytochemicals, and plant biotechnology. He has published more than ninety scientific papers and serves as an editorial board member for Plant Methods, Biomolecules, and International Journal of Molecular Sciences.",institutionString:"National University of Kaohsiung",institution:{name:"National University of Kaohsiung",institutionURL:null,country:{name:"Taiwan"}}},editorTwo:null,editorThree:null}]},overviewPageOFChapters:{paginationCount:45,paginationItems:[{id:"82135",title:"Carotenoids in Cassava (Manihot esculenta Crantz)",doi:"10.5772/intechopen.105210",signatures:"Lovina I. Udoh, Josephine U. Agogbua, Eberechi R. Keyagha and Itorobong I. 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Buchholz and Erik J. Behringer",hash:"e373a3d1123dbd45fddf75d90e3e7c38",volumeInSeries:1,fullTitle:"Calcium and Signal Transduction",editors:[{id:"89438",title:"Dr.",name:"John N.",middleName:null,surname:"Buchholz",slug:"john-n.-buchholz",fullName:"John N. Buchholz",profilePictureURL:"https://mts.intechopen.com/storage/users/89438/images/6463_n.jpg",biography:"Full Professor and Vice Chair, Division of Pharmacology, Loma Linda University, School of Medicine. He received his B.S. Degree in Biology at La Sierra University, Riverside California (1980) and a PhD in Pharmacology from Loma Linda University School of Medicine (1988). Post-Doctoral Fellow at University of California, Irvine, College of Medicine 1989-1992 with a focus on autonomic nerve function in blood vessels and the impact of aging on the function of these nerves and overall blood vessel function. Twenty years of research funding and served on NIH R01 review panels, Editor-In-Chief of Edorium Journal of Aging Research. Serves as a peer reviewer for biomedical journals. Military Reserve Officer serving with the 100 Support Command, 100 Troop Command, 40 Infantry Division, CA National Guard.",institutionString:null,institution:{name:"Loma Linda University",institutionURL:null,country:{name:"United States of America"}}}]},{type:"book",id:"6925",title:"Endoplasmic Reticulum",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/6925.jpg",slug:"endoplasmic-reticulum",publishedDate:"April 17th 2019",editedByType:"Edited by",bookSignature:"Angel Català",hash:"a9e90d2dbdbc46128dfe7dac9f87c6b4",volumeInSeries:2,fullTitle:"Endoplasmic Reticulum",editors:[{id:"196544",title:"Prof.",name:"Angel",middleName:null,surname:"Catala",slug:"angel-catala",fullName:"Angel Catala",profilePictureURL:"https://mts.intechopen.com/storage/users/196544/images/system/196544.jpg",biography:"Angel Catalá studied chemistry at Universidad Nacional de La Plata, Argentina, where he received a Ph.D. in Chemistry (Biological Branch) in 1965. From 1964 to 1974, he worked as an Assistant in Biochemistry at the School of Medicine at the same university. From 1974 to 1976, he was a fellow of the National Institutes of Health (NIH) at the University of Connecticut, Health Center, USA. From 1985 to 2004, he served as a Full Professor of Biochemistry at the Universidad Nacional de La Plata. He is a member of the National Research Council (CONICET), Argentina, and the Argentine Society for Biochemistry and Molecular Biology (SAIB). His laboratory has been interested for many years in the lipid peroxidation of biological membranes from various tissues and different species. Dr. Catalá has directed twelve doctoral theses, published more than 100 papers in peer-reviewed journals, several chapters in books, and edited twelve books. He received awards at the 40th International Conference Biochemistry of Lipids 1999 in Dijon, France. He is the winner of the Bimbo Pan-American Nutrition, Food Science and Technology Award 2006 and 2012, South America, Human Nutrition, Professional Category. In 2006, he won the Bernardo Houssay award in pharmacology, in recognition of his meritorious works of research. Dr. Catalá belongs to the editorial board of several journals including Journal of Lipids; International Review of Biophysical Chemistry; Frontiers in Membrane Physiology and Biophysics; World Journal of Experimental Medicine and Biochemistry Research International; World Journal of Biological Chemistry, Diabetes, and the Pancreas; International Journal of Chronic Diseases & Therapy; and International Journal of Nutrition. He is the co-editor of The Open Biology Journal and associate editor for Oxidative Medicine and Cellular Longevity.",institutionString:"Universidad Nacional de La Plata",institution:{name:"National University of La Plata",institutionURL:null,country:{name:"Argentina"}}}]},{type:"book",id:"6924",title:"Adenosine Triphosphate in Health and Disease",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/6924.jpg",slug:"adenosine-triphosphate-in-health-and-disease",publishedDate:"April 24th 2019",editedByType:"Edited by",bookSignature:"Gyula Mozsik",hash:"04106c232a3c68fec07ba7cf00d2522d",volumeInSeries:3,fullTitle:"Adenosine Triphosphate in Health and Disease",editors:[{id:"58390",title:"Dr.",name:"Gyula",middleName:null,surname:"Mozsik",slug:"gyula-mozsik",fullName:"Gyula Mozsik",profilePictureURL:"https://mts.intechopen.com/storage/users/58390/images/system/58390.png",biography:"Gyula Mózsik MD, Ph.D., ScD (med), is an emeritus professor of Medicine at the First Department of Medicine, Univesity of Pécs, Hungary. He was head of this department from 1993 to 2003. His specializations are medicine, gastroenterology, clinical pharmacology, clinical nutrition, and dietetics. His research fields are biochemical pharmacological examinations in the human gastrointestinal (GI) mucosa, mechanisms of retinoids, drugs, capsaicin-sensitive afferent nerves, and innovative pharmacological, pharmaceutical, and nutritional (dietary) research in humans. He has published about 360 peer-reviewed papers, 197 book chapters, 692 abstracts, 19 monographs, and has edited 37 books. He has given about 1120 regular and review lectures. He has organized thirty-eight national and international congresses and symposia. He is the founder of the International Conference on Ulcer Research (ICUR); International Union of Pharmacology, Gastrointestinal Section (IUPHAR-GI); Brain-Gut Society symposiums, and gastrointestinal cytoprotective symposiums. He received the Andre Robert Award from IUPHAR-GI in 2014. 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In 2021 he has been awarded the “Raul Isturiz Award” Medal of the API. Also, in 2021, he was awarded with the “Jose Felix Patiño” Asclepius Staff Medal of the Colombian Medical College, due to his scientific contributions to COVID-19 during the pandemic. He is currently the Editor in Chief of the journal Travel Medicine and Infectious Diseases. His Scopus H index is 47 (Google Scholar H index, 68).",institutionString:"Institución Universitaria Visión de las Américas, Colombia",institution:null},{id:"332819",title:"Dr.",name:"Chukwudi Michael",middleName:"Michael",surname:"Egbuche",slug:"chukwudi-michael-egbuche",fullName:"Chukwudi Michael Egbuche",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/332819/images/14624_n.jpg",biography:"I an Dr. Chukwudi Michael Egbuche. 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The preliminary objectives of the study are to understand and develop the evidence-based tools and interventions for the control and prevention of malaria in different sites of the INDIA. Alongside, with the help of next-generation genomics study, the team has studied the antimalarial drug resistance in India. Further, he has extended his research in the development of Humanized mice for the study of liver-stage malaria and identification of molecular marker(s) for the Artemisinin resistance. At present, his research focuses on understanding the role of B cells in the activation of CD8+ T cells in malaria. Received the CSIR-SRF (Senior Research Fellow) award-2018, FIMSA (Federation of Immunological Societies of Asia-Oceania) Travel Bursary award to attend the IUIS-IIS-FIMSA Immunology course-2019',institutionString:"Nirma University",institution:{name:"Nirma University",country:{name:"India"}}},{id:"334383",title:"Ph.D.",name:"Simone",middleName:"Ulrich",surname:"Ulrich Picoli",slug:"simone-ulrich-picoli",fullName:"Simone Ulrich Picoli",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/334383/images/15919_n.jpg",biography:"Graduated in Pharmacy from Universidade Luterana do Brasil (1999), Master in Agricultural and Environmental Microbiology from Federal University of Rio Grande do Sul (2002), Specialization in Clinical Microbiology from Universidade de São Paulo, USP (2007) and PhD in Sciences in Gastroenterology and Hepatology (2012). She is currently an Adjunct Professor at Feevale University in Medicine and Biomedicine courses and a permanent professor of the Academic Master\\'s Degree in Virology. She has experience in the field of Microbiology, with an emphasis on Bacteriology, working mainly on the following topics: bacteriophages, bacterial resistance, clinical microbiology and food microbiology.",institutionString:null,institution:{name:"Universidade Feevale",country:{name:"Brazil"}}},{id:"229220",title:"Dr.",name:"Amjad",middleName:"Islam",surname:"Aqib",slug:"amjad-aqib",fullName:"Amjad Aqib",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/229220/images/system/229220.png",biography:"Dr. Amjad Islam Aqib obtained a DVM and MSc (Hons) from University of Agriculture Faisalabad (UAF), Pakistan, and a PhD from the University of Veterinary and Animal Sciences Lahore, Pakistan. Dr. Aqib joined the Department of Clinical Medicine and Surgery at UAF for one year as an assistant professor where he developed a research laboratory designated for pathogenic bacteria. Since 2018, he has been Assistant Professor/Officer in-charge, Department of Medicine, Manager Research Operations and Development-ORIC, and President One Health Club at Cholistan University of Veterinary and Animal Sciences, Bahawalpur, Pakistan. He has nearly 100 publications to his credit. His research interests include epidemiological patterns and molecular analysis of antimicrobial resistance and modulation and vaccine development against animal pathogens of public health concern.",institutionString:"Cholistan University of Veterinary and Animal Sciences",institution:null},{id:"62900",title:"Prof.",name:"Fethi",middleName:null,surname:"Derbel",slug:"fethi-derbel",fullName:"Fethi Derbel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/62900/images/system/62900.jpeg",biography:"Professor Fethi Derbel was born in 1960 in Tunisia. He received his medical degree from the Sousse Faculty of Medicine at Sousse, University of Sousse, Tunisia. He completed his surgical residency in General Surgery at the University Hospital Farhat Hached of Sousse and was a member of the Unit of Liver Transplantation in the University of Rennes, France. He then worked in the Department of Surgery at the Sahloul University Hospital in Sousse. Professor Derbel is presently working at the Clinique les Oliviers, Sousse, Tunisia. His hospital activities are mostly concerned with laparoscopic, colorectal, pancreatic, hepatobiliary, and gastric surgery. He is also very interested in hernia surgery and performs ventral hernia repairs and inguinal hernia repairs. He has been a member of the GREPA and Tunisian Hernia Society (THS). During his residency, he managed patients suffering from diabetic foot, and he was very interested in this pathology. For this reason, he decided to coordinate a book project dealing with the diabetic foot. Professor Derbel has published many articles in journals and collaborates intensively with IntechOpen Access Publisher as an editor.",institutionString:"Clinique les Oliviers",institution:null},{id:"300144",title:"Dr.",name:"Meriem",middleName:null,surname:"Braiki",slug:"meriem-braiki",fullName:"Meriem Braiki",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/300144/images/system/300144.jpg",biography:"Dr. Meriem Braiki is a specialist in pediatric surgeon from Tunisia. She was born in 1985. She received her medical degree from the University of Medicine at Sousse, Tunisia. She achieved her surgical residency training periods in Pediatric Surgery departments at University Hospitals in Monastir, Tunis and France.\r\nShe is currently working at the Pediatric surgery department, Sidi Bouzid Hospital, Tunisia. Her hospital activities are mostly concerned with laparoscopic, parietal, urological and digestive surgery. She has published several articles in diffrent journals.",institutionString:"Sidi Bouzid Regional Hospital",institution:null},{id:"229481",title:"Dr.",name:"Erika M.",middleName:"Martins",surname:"de Carvalho",slug:"erika-m.-de-carvalho",fullName:"Erika M. de Carvalho",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/229481/images/6397_n.jpg",biography:null,institutionString:null,institution:{name:"Oswaldo Cruz Foundation",country:{name:"Brazil"}}},{id:"186537",title:"Prof.",name:"Tonay",middleName:null,surname:"Inceboz",slug:"tonay-inceboz",fullName:"Tonay Inceboz",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/186537/images/system/186537.jfif",biography:"I was graduated from Ege University of Medical Faculty (Turkey) in 1988 and completed his Med. PhD degree in Medical Parasitology at the same university. I became an Associate Professor in 2008 and Professor in 2014. I am currently working as a Professor at the Department of Medical Parasitology at Dokuz Eylul University, Izmir, Turkey.\n\nI have given many lectures, presentations in different academic meetings. I have more than 60 articles in peer-reviewed journals, 18 book chapters, 1 book editorship.\n\nMy research interests are Echinococcus granulosus, Echinococcus multilocularis (diagnosis, life cycle, in vitro and in vivo cultivation), and Trichomonas vaginalis (diagnosis, PCR, and in vitro cultivation).",institutionString:"Dokuz Eylül University",institution:{name:"Dokuz Eylül University",country:{name:"Turkey"}}},{id:"71812",title:"Prof.",name:"Hanem Fathy",middleName:"Fathy",surname:"Khater",slug:"hanem-fathy-khater",fullName:"Hanem Fathy Khater",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/71812/images/1167_n.jpg",biography:"Prof. Khater is a Professor of Parasitology at Benha University, Egypt. She studied for her doctoral degree, at the Department of Entomology, College of Agriculture, Food and Natural Resources, University of Missouri, Columbia, USA. She has completed her Ph.D. degrees in Parasitology in Egypt, from where she got the award for “the best scientific Ph.D. dissertation”. She worked at the School of Biological Sciences, Bristol, England, the UK in controlling insects of medical and veterinary importance as a grant from Newton Mosharafa, the British Council. Her research is focused on searching of pesticides against mosquitoes, house flies, lice, green bottle fly, camel nasal botfly, soft and hard ticks, mites, and the diamondback moth as well as control of several parasites using safe and natural materials to avoid drug resistances and environmental contamination.",institutionString:null,institution:{name:"Banha University",country:{name:"Egypt"}}},{id:"99780",title:"Prof.",name:"Omolade",middleName:"Olayinka",surname:"Okwa",slug:"omolade-okwa",fullName:"Omolade Okwa",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/99780/images/system/99780.jpg",biography:"Omolade Olayinka Okwa is presently a Professor of Parasitology at Lagos State University, Nigeria. She has a PhD in Parasitology (1997), an MSc in Cellular Parasitology (1992), and a BSc (Hons) Zoology (1990) all from the University of Ibadan, Nigeria. She teaches parasitology at the undergraduate and postgraduate levels. She was a recipient of a Commonwealth fellowship supported by British Council tenable at the Centre for Entomology and Parasitology (CAEP), Keele University, United Kingdom between 2004 and 2005. She was awarded an Honorary Visiting Research Fellow at the same university from 2005 to 2007. \nShe has been an external examiner to the Department of Veterinary Microbiology and Parasitology, University of Ibadan, MSc programme between 2010 and 2012. She is a member of the Nigerian Society of Experimental Biology (NISEB), Parasitology and Public Health Society of Nigeria (PPSN), Science Association of Nigeria (SAN), Zoological Society of Nigeria (ZSN), and is Vice Chairperson of the Organisation of Women in Science (OWSG), LASU chapter. She served as Head of Department of Zoology and Environmental Biology, Lagos State University from 2007 to 2010 and 2014 to 2016. She is a reviewer for several local and international journals such as Unilag Journal of Science, Libyan Journal of Medicine, Journal of Medicine and Medical Sciences, and Annual Research and Review in Science. \nShe has authored 45 scientific research publications in local and international journals, 8 scientific reviews, 4 books, and 3 book chapters, which includes the books “Malaria Parasites” and “Malaria” which are IntechOpen access publications.",institutionString:"Lagos State University",institution:{name:"Lagos State University",country:{name:"Nigeria"}}},{id:"273100",title:"Dr.",name:"Vijay",middleName:null,surname:"Gayam",slug:"vijay-gayam",fullName:"Vijay Gayam",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/273100/images/system/273100.jpeg",biography:"Dr. Vijay Bhaskar Reddy Gayam is currently practicing as an internist at Interfaith Medical Center in Brooklyn, New York, USA. He is also a Clinical Assistant Professor at the SUNY Downstate University Hospital and Adjunct Professor of Medicine at the American University of Antigua. He is a holder of an M.B.B.S. degree bestowed to him by Osmania Medical College and received his M.D. at Interfaith Medical Center. His career goals thus far have heavily focused on direct patient care, medical education, and clinical research. He currently serves in two leadership capacities; Assistant Program Director of Medicine at Interfaith Medical Center and as a Councilor for the American\r\nFederation for Medical Research. As a true academician and researcher, he has more than 50 papers indexed in international peer-reviewed journals. He has also presented numerous papers in multiple national and international scientific conferences. His areas of research interest include general internal medicine, gastroenterology and hepatology. He serves as an editor, editorial board member and reviewer for multiple international journals. His research on Hepatitis C has been very successful and has led to multiple research awards, including the 'Equity in Prevention and Treatment Award” from the New York Department of Health Viral Hepatitis Symposium (2018) and the 'Presidential Poster Award” awarded to him by the American College of Gastroenterology (2018). He was also awarded 'Outstanding Clinician in General Medicine” by Venus International Foundation for his extensive research expertise and services, perform over and above the standard expected in the advancement of healthcare, patient safety and quality of care.",institutionString:"Interfaith Medical Center",institution:{name:"Interfaith Medical Center",country:{name:"United States of America"}}},{id:"93517",title:"Dr.",name:"Clement",middleName:"Adebajo",surname:"Meseko",slug:"clement-meseko",fullName:"Clement Meseko",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/93517/images/system/93517.jpg",biography:"Dr. Clement Meseko obtained DVM and PhD degree in Veterinary Medicine and Virology respectively. He has worked for over 20 years in both private and public sectors including the academia, contributing to knowledge and control of infectious disease. Through the application of epidemiological skill, classical and molecular virological skills, he investigates viruses of economic and public health importance for the mitigation of the negative impact on people, animal and the environment in the context of Onehealth. \r\nDr. Meseko’s field experience on animal and zoonotic diseases and pathogen dynamics at the human-animal interface over the years shaped his carrier in research and scientific inquiries. He has been part of the investigation of Highly Pathogenic Avian Influenza incursions in sub Saharan Africa and monitors swine Influenza (Pandemic influenza Virus) agro-ecology and potential for interspecies transmission. He has authored and reviewed a number of journal articles and book chapters.",institutionString:"National Veterinary Research Institute",institution:{name:"National Veterinary Research Institute",country:{name:"Nigeria"}}},{id:"158026",title:"Prof.",name:"Shailendra K.",middleName:null,surname:"Saxena",slug:"shailendra-k.-saxena",fullName:"Shailendra K. Saxena",position:null,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. He is also an international opinion leader/expert in vaccination for Japanese encephalitis by IPIC (UK).",institutionString:"King George's Medical University",institution:{name:"King George's Medical University",country:{name:"India"}}},{id:"94928",title:"Dr.",name:"Takuo",middleName:null,surname:"Mizukami",slug:"takuo-mizukami",fullName:"Takuo Mizukami",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/94928/images/6402_n.jpg",biography:null,institutionString:null,institution:{name:"National Institute of Infectious Diseases",country:{name:"Japan"}}},{id:"233433",title:"Dr.",name:"Yulia",middleName:null,surname:"Desheva",slug:"yulia-desheva",fullName:"Yulia Desheva",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/233433/images/system/233433.png",biography:"Dr. Yulia Desheva is a leading researcher at the Institute of Experimental Medicine, St. Petersburg, Russia. She is a professor in the Stomatology Faculty, St. Petersburg State University. She has expertise in the development and evaluation of a wide range of live mucosal vaccines against influenza and bacterial complications. Her research interests include immunity against influenza and COVID-19 and the development of immunization schemes for high-risk individuals.",institutionString:'Federal State Budgetary Scientific Institution "Institute of Experimental Medicine"',institution:null},{id:"238958",title:"Mr.",name:"Atamjit",middleName:null,surname:"Singh",slug:"atamjit-singh",fullName:"Atamjit Singh",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/238958/images/6575_n.jpg",biography:null,institutionString:null,institution:null},{id:"333753",title:"Dr.",name:"Rais",middleName:null,surname:"Ahmed",slug:"rais-ahmed",fullName:"Rais Ahmed",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/333753/images/20168_n.jpg",biography:null,institutionString:null,institution:null},{id:"252058",title:"M.Sc.",name:"Juan",middleName:null,surname:"Sulca",slug:"juan-sulca",fullName:"Juan Sulca",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/252058/images/12834_n.jpg",biography:null,institutionString:null,institution:null},{id:"191392",title:"Dr.",name:"Marimuthu",middleName:null,surname:"Govindarajan",slug:"marimuthu-govindarajan",fullName:"Marimuthu Govindarajan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/191392/images/5828_n.jpg",biography:"Dr. M. Govindarajan completed his BSc degree in Zoology at Government Arts College (Autonomous), Kumbakonam, and MSc, MPhil, and PhD degrees at Annamalai University, Annamalai Nagar, Tamil Nadu, India. He is serving as an assistant professor at the Department of Zoology, Annamalai University. His research interests include isolation, identification, and characterization of biologically active molecules from plants and microbes. He has identified more than 20 pure compounds with high mosquitocidal activity and also conducted high-quality research on photochemistry and nanosynthesis. He has published more than 150 studies in journals with impact factor and 2 books in Lambert Academic Publishing, Germany. He serves as an editorial board member in various national and international scientific journals.",institutionString:null,institution:null},{id:"274660",title:"Dr.",name:"Damodar",middleName:null,surname:"Paudel",slug:"damodar-paudel",fullName:"Damodar Paudel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/274660/images/8176_n.jpg",biography:"I am DrDamodar Paudel,currently working as consultant Physician in Nepal police Hospital.",institutionString:null,institution:null},{id:"241562",title:"Dr.",name:"Melvin",middleName:null,surname:"Sanicas",slug:"melvin-sanicas",fullName:"Melvin Sanicas",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/241562/images/6699_n.jpg",biography:null,institutionString:null,institution:null},{id:"337446",title:"Dr.",name:"Maria",middleName:null,surname:"Zavala-Colon",slug:"maria-zavala-colon",fullName:"Maria Zavala-Colon",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Puerto Rico, Medical Sciences Campus",country:{name:"United States of America"}}},{id:"338856",title:"Mrs.",name:"Nur Alvira",middleName:null,surname:"Pascawati",slug:"nur-alvira-pascawati",fullName:"Nur Alvira Pascawati",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Universitas Respati Yogyakarta",country:{name:"Indonesia"}}},{id:"441116",title:"Dr.",name:"Jovanka M.",middleName:null,surname:"Voyich",slug:"jovanka-m.-voyich",fullName:"Jovanka M. Voyich",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Montana State University",country:{name:"United States of America"}}},{id:"330412",title:"Dr.",name:"Muhammad",middleName:null,surname:"Farhab",slug:"muhammad-farhab",fullName:"Muhammad Farhab",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Agriculture Faisalabad",country:{name:"Pakistan"}}},{id:"349495",title:"Dr.",name:"Muhammad",middleName:null,surname:"Ijaz",slug:"muhammad-ijaz",fullName:"Muhammad Ijaz",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Veterinary and Animal Sciences",country:{name:"Pakistan"}}}]}},subseries:{item:{id:"93",type:"subseries",title:"Inclusivity and Social Equity",keywords:"Social contract, SDG, Human rights, Inclusiveness, Equity, Democracy, Personal learning, Collaboration, Glocalization",scope:"
\r\n\tThe environment is subject to severe anthropic effects. Among them are those associated with pollution, resource extraction and overexploitation, loss of biodiversity, soil degradation, disorderly land occupation and planning, and many others. These anthropic effects could potentially be caused by any inadequate management of the environment. However, ecosystems have a resilience that makes them react to disturbances which mitigate the negative effects. It is critical to understand how ecosystems, natural and anthropized, including urban environments, respond to actions that have a negative influence and how they are managed. It is also important to establish when the limits marked by the resilience and the breaking point are achieved and when no return is possible. The main focus for the chapters is to cover the subjects such as understanding how the environment resilience works, the mechanisms involved, and how to manage them in order to improve our interactions with the environment and promote the use of adequate management practices such as those outlined in the United Nations’ Sustainable Development Goals.
",coverUrl:"https://cdn.intechopen.com/series_topics/covers/39.jpg",keywords:"Anthropic effects, Overexploitation, Biodiversity loss, Degradation, Inadequate Management, SDGs adequate practices"},{id:"38",title:"Pollution",scope:"\r\n\tPollution is caused by a wide variety of human activities and occurs in diverse forms, for example biological, chemical, et cetera. In recent years, significant efforts have been made to ensure that the environment is clean, that rigorous rules are implemented, and old laws are updated to reduce the risks towards humans and ecosystems. However, rapid industrialization and the need for more cultivable sources or habitable lands, for an increasing population, as well as fewer alternatives for waste disposal, make the pollution control tasks more challenging. Therefore, this topic will focus on assessing and managing environmental pollution. It will cover various subjects, including risk assessment due to the pollution of ecosystems, transport and fate of pollutants, restoration or remediation of polluted matrices, and efforts towards sustainable solutions to minimize environmental pollution.
",coverUrl:"https://cdn.intechopen.com/series_topics/covers/38.jpg",keywords:"Human activity, Pollutants, Reduced risks, Population growth, Waste disposal, Remediation, Clean environment"},{id:"41",title:"Water Science",scope:"