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Signal transduction comprises the intracellular biochemical signals which induce the appropriate cell response to an external stimulus. The players in signal transduction are diverse, from small molecules as first messengers, to proteins, receptors, transcription factors, among many others. The different signaling pathways and the crosstalk between them originates the unique signaling profile of every cell type in the human body. The cell signaling specificity depends on several aspects including protein composition, subcellular localization and complexes and gene promoters. This textbook provides a comprehensive overview of the specific signaling pathways on a variety of human tissues. This information can be of great value for health science researchers, professionals and students to understand key pathways for tissue-specific functions in the plethora of signals, signals receptors, transducers and effectors. Chapter 3 and 15 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Now in its second edition, this comprehensive handbook provides a state-of-the-art overview of recent advances in drug and non-drug therapies for obesity and diabetes. It also addresses major comorbidities, covering topics such as, cardiovascular diseases, renal and neuropsychiatric disorders, appetite control and micro RNAs. Special attention is also devoted to pediatric care, including the latest recommendations for therapy and prevention. Obesity and type 2 diabetes are among the top global health-care budget concerns worldwide and impact professional practice at all levels: in hospitals, clinics and physicians’ offices alike. They prominently feature in headlines, and virtually no family, community or country is exempt from their protean, deleterious consequences. Furthermore, given the multiple intersections in their pathways, they often go hand in hand. The good news is that scientific advances in all fields, including genomics, metabolomics, lipidomics and microbiomics, are increasing our understanding of these two disease areas. At the same time, artificial intelligence, machine learning, mobile health and advanced implantable and external devices are rendering prevention and management more available, safe and cost-effective. In addition, bariatric and metabolic surgery has evolved from a niche specialty to an officially endorsed option for several modalities of obesity and diabetes. This book presents the latest lifestyle, pharmacological, surgical and non-surgical treatment options, including endoscopic intervention and cell therapy. Objectively reviewing natural and artificial sweeteners and critically examining issues such as public health initiatives, government mandated taxes for unhealthy foods and environmental planning, no stone is left unturned in gathering the latest practical information. As such, the book will appeal to seasoned specialists, as well as students and healthcare professionals in training.
This timely and most comprehensive reference available on the topic covers all the different aspects vital in the fight against the global obesity epidemic. Following a look at adipose tissue development and morphology, the authors go on to examine its metabolic and endocrine functions and its role in disease. The final section deals with comparative and evolutionary aspects of the tissue. The result is an essential resource for cell and molecular biologists, physiologists, biochemists, pharmacologists, and those working in the pharmaceutical industry.
This book describes in detail the multidisciplinary management of obesity, providing readers with a thorough understanding of the rationale for a multidisciplinary approach and with the tools required to implement it effectively. The emphasis is on a translational approach, starting from basic concepts and fundamental mechanisms of the pathology and clinical morbidity. Experts in the field discuss the full range of relevant topics, including the significance of physical exercise, psychological issues, nutritional strategies, pharmacological options and bariatric surgery. Put another way, the book covers all aspects from the bench to the bedside. Physicians, scientists and postgraduate students will all find it to be invaluable in understanding the causes and optimal management of obesity, which has rapidly become a major public health problem.
Autoxidation of unsaturated lipids has received much attention because it has many applications in the rancidity of foods and stability of lipids in biological tissues and compartments. This book reviews state-of-the-art developments in the understanding of the oxidation of lipids and its connection with the oxidation of other biological molecules such as proteins and starch. The various chapters illustrate the special features associated with different lipids, antioxidants, reaction conditions, and lipids environments. The material in this book provides a better understanding of lipid oxidation pathways.
More than 18 million people in the United States have diabetes mellitus, and about 90% of these have the type 2 form of the disease. This book attempts to dissect the complexity of the molecular mechanisms of insulin action with a special emphasis on those features of the system that are subject to alteration in type 2 diabetes and other insulin resistant states. It explores insulin action at the most basic levels, through complex systems.
The amount and distribution of adipose and lean tissues has been shown to be predictive of mortality and morbidity in metabolic disease. Traditionally these risks are assessed by anthropometric measurements based on weight, length, girths or the body mass index (BMI). These measurements are predictive of risks on a population level, where a too low or a too high BMI indicates an increased risk of both mortality and morbidity. However, today a large part of the world’s population belongs to a group with an elevated risk according to BMI, many of which will live long and healthy lives. Thus, better instruments are needed to properly direct health-care resources to those who need it the most. Medical imaging method can go beyond anthropometrics. Tomographic modalities, such as magnetic resonance imaging (MRI), can measure how we have stored fat in and around organs. These measurements can eventually lead to better individual risk predictions. For instance, a tendency to store fat as visceral adipose tissue (VAT) is associated with an increased risk of diabetes type 2, cardio-vascular disease, liver disease and certain types of cancer. Furthermore, liver fat is associated with liver disease, diabetes type 2. Brown adipose tissue (BAT), is another emerging component of body-composition analysis. While the normal white adipose tissue stores fat, BAT burns energy to produce heat. This unique property makes BAT highly interesting, from a metabolic point of view. Magnetic resonance imaging can both accurately and safely measure internal adipose tissue compartments, and the fat infiltration of organs. Which is why MRI is often considered the reference method for non-invasive body-composition analysis. The two major challenges of MRI based body-composition analysis are, the between-scanner reproducibility and a cost-effective analysis of the images. This thesis presents a complete implementation of fat-referenced MRI, a technique that produces quantitative images that can increase both inter-scanner and automation of the image analysis. With MRI, it is possible to construct images where water and fat are separated into paired images. In these images, it easy to depict adipose tissue and lean tissue structures. This thesis takes water-fat MRI one step further, by introducing a quantitative framework called fat-referenced MRI. By calibrating the image using the subjects' own adipose tissue (paper II), the otherwise non-quantitative fat images are made quantitative. In these fat-referenced images it is possible to directly measure the amount of adipose tissue in different compartments. This quantitative property makes image analysis easy and accurate, as lean and adipose tissues can be separated on a sub-voxel level. Fat-referenced MRI further allows the quantification and characterization of BAT. This thesis work starts by formulating a method to produce water-fat images (paper I) based on two gradient recall images, i.e. 2-point Dixon images (2PD). It furthers shows that fat-referenced 2PD images can be corrected for T2*, making the 2PD body-composition measurements comparable with confounder-corrected Dixon measurements (paper III}). Both the water-fat separation method and fat image calibration are applied to BAT imaging. The methodology is first evaluated in an animal model, where it is shown that it can detect both BAT browning and volume increase following cold acclimatization (paper IV). It is then applied to postmortem imaging, were it is used to locate interscapular BAT in human infants (paper V). Subsequent analysis of biopsies, taken based on the MRI images, showed that the interscapular BAT was of a type not previously believed to exist in humans. In the last study, fat-referenced MRI is applied to BAT imaging of adults. As BAT structures are difficult to locate in many adults, the methodology was also extended with a multi-atlas segmentation methods (paper VI). In summary, this thesis shows that fat-referenced MRI is a quantitative method that can be used for body-composition analysis. It also shows that fat-referenced MRI can produce quantitative high-resolution images, a necessity for many BAT applications.