Metabolic Syndrome and Psychiatric Illness: Interactions, Pathophysiology, Assessment and Treatment

Author(s): Scott D. Mendelson, M.D., Ph.D.
ISBN: 978-0-12-374240-7
Copyright © 2008 Elsevier Inc.

Metabolic syndrome is a set of risk factors that includes: abdominal obesity, a decreased ability to process glucose (insulin resistance), dyslipidemia (unhealthy lipid levels), and hypertension. Patients who have this syndrome have been shown to be at an increased risk of developing cardiovascular disease and/or type 2 diabetes. Metabolic syndrome is a common condition that goes by many names (dysmetabolic syndrome, syndrome X, insulin resistance syndrome, obesity syndrome, and Reaven’s syndrome). This is the first book to fully explain the relationships between psychiatric illness, Metabolic Syndrome, diet, sleep, exercise, medications, and lifestyle choices. Metabolic Syndrome is a major risk factor in Major Depression, Alzheimer’s Disease, Sleep Disorders, Sexual Dysfunction, Fibromyalgia, and several other illnesses of psychiatric significance. Conversely, some psychiatric illnesses tend to predispose patients to Metabolic Syndrome. Of further interest is the fact that some of the medications used in the treatment of psychiatric illnesses have been found to cause or exacerbate Metabolic Syndrome. The author here provides basic information about what genetic predispositions, medical conditions, and lifestyle choices make Metabolic Syndrome more likely to occur. Among the contributing factors that are discussed are genetics, habitual intake of high glycemic index carbohydrates, fructose, saturated fats, trans fatty acids, vitamins, micronutrients, obesity, smoking, and lack of exercise. The author describes the actual mechanisms by which Metabolic Syndrome progresses and causes damage in the body, including the action of insulin and the pathophysiology of insulin resistance. Details are provided on what occurs in the liver, pancreas, muscle, fat cells, and immune system as Metabolic Syndrome progresses. New findings are presented on fat cells, including the fact that they are beginning to be considered as endocrine cells. There is a substantive discussion of leptin, which is one of the important adipocytokines. Also carbohydrate, ‚bad fats‘, inflammation, oxidative damage, over-stimulation of the ‚fight or flight‘ system, and high levels of the stress hormone cortisol can actually cause the manifestations of Metabolic Syndrome. These explanations set the stage for an explanation of the inter-relationships between Metabolic Syndrome, psychiatric illness, dementia and effects of not only diet and life choices, but also the effects of psychiatric medications. Finally, there is an important and unique section on the relationship between Metabolic Syndrome and various psychiatric illnesses, and how they exacerbate each other. The significance of Metabolic Syndrome in Major Depression, Bipolar Affective Disorder, Schizophrenia, fibromyalgia and Polycystic Ovary Disease is vast and it is important to realise the effects of psychiatric medications on Metabolic Syndrome. The author discusses antidepressants, mood stabilizers and the new atypical antipsychotics. There are dramatic differences among medications in the way they affect Metabolic Syndrome and pharmaceutical companies will want to promote patient awareness with this book.

Medicinal Chemistry of Anticancer Drugs

Author(s): Carmen Avendaño and J. Carlos Menéndez
ISBN: 978-0-444-52824-7
Copyright © 2008 Elsevier B.V.

Antitumour chemotherapy is nowadays a very active field of research, and a huge amount of information on the topic is generated every year. Although many books are available that deal with clinical aspects of cancer chemotherapy, this book addresses the need for an updated treatment from the point of view of medicinal chemistry and drug design. Cytotoxic chemotherapy is gradually being supplemented by a new generation of drugs that recognize specific targets on the surface or inside cancer cells. These therapies are in their infancy, but they hold promise of more effective therapies with fewer side effects. Resistance to antitumour drugs is another important but normally neglected field. The focus of Medicinal Chemistry of Anticancer Drugs is on the mechanism of action of antitumour drugs from the molecular point of view and on the relationship between chemical structure and chemical and biochemical reactivity of antitumour agents, aiming at the rationalization of the action of this type of drugs, which would allow the design of new active structures.

Matlab for Neuroscientists

Author(s): Pascal Wallisch, Michael Lusignan, Marc Benayoun,
Tanya I. Baker, Adam S. Dickey and Nicholas G. Hatsopoulos
ISBN: 978-0-12-374551-4, Copyright © 2009 Elsevier Inc.

Matlab is the accepted standard for scientific computing, used globally in virtually all Neuroscience and Cognitive Psychology laboratories. For instance, SPM, the most used software for the analysis and manipulation of fMRI images in research and clinical practice is fully programmed in matlab, and its use of the possibility to allow for sophisticated software modules to be freely added to the software has established it as the by far dominant software in the field. Many universities now offer, or are beginning to offer matlab introductory courses in their neuroscience and psychology programs. Nevertheless, so far there hasn’t been a textbook specific to this market, and the use of the plethora of existing engineering focused Matlab textbooks is notoriously difficult for teaching the package in those environments. This is the first comprehensive teaching resource and textbook for the teaching of Matlab in the Neurosciences and in Psychology. Matlab is unique in that it can be used to learn the entire empirical and experimental process, including stimulus generation, experimental control, data collection, data analysis and modeling. Thus a wide variety of computational problems can be addressed in a single programming environment. The idea is to empower advanced undergraduates and beginning graduate students by allowing them to design and implement their own analytical tools. As students advance in their research careers, they will have achieved the fluency required to understand and adapt more specialized tools as opposed to treating them as „black boxes“. Virtually all computational approaches in the book are covered by using genuine experimental data that are either collected as part of the lab project or were collected in the labs of the authors, providing the casual student with the look and feel of real data. In some rare cases, published data from classical papers are used to illustrate important concepts, giving students a computational understanding of critically important research. The ability to effectively use computers in research is necessary in an academic environment that is increasingly focused on quantitative issues. Matlab represents an ideal language of scientific computing. It is based on powerful linear algebra structures which lend themselves to empirical problems on the one hand, while at the same time allowing the student to make rapid problem-oriented progress (particularly in terms of visualization of data points) without having to lose focus by worrying too much about memory allocation and other „plumbing“ minutiae as would be required in other, more low-level programming languages such as C or C++. Currently, there are several books that provide introductions to Matlab that are either too generic and fundamental or too irrelevant for neuroscientists and cognitive psychologists who typically face a very circumscribed range of problems in data collection, data analysis and signal processing. Some non-book tutorials and primers that are in use in the community are typically out of date. Matlab versions are usually not backwards compatible. Many commands and functions used in older tutorials and primers, such as „flops“ won’t work in current versions of Matlab, necessitating a book that is timely and up-to-date. The complete lack of a relevant resource in this area, combined with a clearly felt need for such a text provided the primary and initial impetus for this project. The authors provide such a dearly needed resource adapting and pooling materials that developed for and used in highly rated courses involving the use of Matlab in Neuroscience at the University of Chicago. Two co-authors (PW and NH) have presented their respective work on teaching Matlab at national meetings and two of the co-authors (PW and MB) were awarded the coveted University of Chicago’s Booth Prize for excellence in teaching these courses.