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Metabolic Syndrome and Neurological Disorders brings together information on the cluster of common pathologies which cause metabolic syndrome - abdominal obesity linked to an excess of visceral fat, insulin resistance, dyslipidemia and hypertension - to provide a comprehensive and cutting edge exploration of the link between metabolic syndrome and neurological disorders. Metabolic syndrome is recognized to play a role in neurological disorders such as stroke, Alzheimer's disease, and depression. For the first time in book form, Metabolic Syndrome and Neurological Disorders covers the molecular mechanisms thought to underlie this mirror relationship, as well as how lifestyle and other factors such as oxidative stress and inflammation may play a role in the disease. Grounded in a series of epidemiological studies of metabolic-cognitive syndrome, this book will be a valuable reference for researchers, dietitians, nutritionists, and physicians.

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Contents

Cover

Title Page

Copyright

Dedication

Epigraph

Foreword

Preface

Acknowledgments

Contributors

Chapter 1: Insulin Resistance and Metabolic Failure Underlie Alzheimer Disease

1.1 INTRODUCTION

1.2 MEDIATORS OF INSULIN SIGNALING

1.3 INSULIN RESISTANCE AND NEURODEGENERATION

1.4 THE NEUROPATHOLOGY OF AD IS CAUSED BY BRAIN INSULIN/IGF RESISTANCE

1.5 BRAIN METABOLIC DERANGEMENTS IN OTHER NEURODEGENERATIVE DISEASES

1.6 UNDERLYING CAUSES OF BRAIN INSULIN RESISTANCE IN AD

1.7 MECHANISTIC HYPOTHESES REGARDING AD PATHOGENESIS

1.8 CONCLUSION

ACKNOWLEDGMENTS

REFERENCES

Chapter 2: Insulin Receptor and the Pathophysiology of Alzheimer Disease

2.1 INTRODUCTION

2.2 INSULIN RECEPTOR SIGNALING PATHWAY

2.3 INSULIN RECEPTOR SIGNALING IN THE BRAIN

2.4 INSULIN RECEPTOR AND ALZHEIMER DISEASE

2.5 CONCLUSION

REFERENCES

Chapter 3: Contribution of Insulin Resistance in Pathogenesis of Alzheimer Disease

3.1 INTRODUCTION

3.2 SYNOPSIS OF INSULIN SIGNALING RELATED WITH AD

3.3 WNT/β-CATENIN SIGNALING LINKED WITH IR/AD

3.4 AMPK SIGNALING FOR THE ENERGY AND REDOX HOMEOSTASIS

3.5 ATM SIGNALING AS ANOTHER REDOX REGULATOR

3.6 SIRTUINS RELATED WITH IR/AD PATHOGENESIS

3.7 IMPORTANCE OF CDK5-CALPAIN INTERACTION IN IR/AD

3.8 AUTOPHAGY-LINKED TO IR/AD

3.9 OXIDATIVE STRESS IS IN THE VERY HEART OF IR/AD PATHOGENESIS

3.10 A NOVEL INTEGRATING MODEL FOR IR AND AD

3.11 CONCLUSION

DEDICATION

REFERENCES

Chapter 4: Insulin–Leptin Signaling In The Brain

4.1 INTRODUCTION

4.2 LEPTIN- AND INSULIN-RELATED SIGNALING IN THE CENTRAL REGULATION OF ENERGY HOMEOSTASIS

4.3 CROSS-TALK BETWEEN INSULIN AND LEPTIN SIGNALING IN THE BRAIN

4.4 CENTRAL LEPTIN AND INSULIN RESISTANCE: CLINICAL IMPLICATIONS

4.5 CONCLUSION

ACKNOWLEDGMENTS

REFERENCES

Chapter 5: The Janus Face of Insulin in Brain

5.1 INTRODUCTION

5.2 CONCLUSION

ACKNOWLEDGMENTS

REFERENCES

Chapter 6: Modulation of Cognition By Insulin and Aging: Implications for Alzheimer Disease

6.1 INTRODUCTION

6.2 INSULIN, INSULIN RECEPTOR SIGNALING, AND INSULIN ACTION IN THE BRAIN

6.3 BRAIN INSULIN RESISTANCE

6.4 BRAIN INSULIN RESISTANCE AND PROTEIN ANORMALITIES

6.5 BRAIN INSULIN RESISTANCE, OXIDATIVE STRESS, MITOCHONDRIAL DYSFUNCTION, AND INFLAMMATION IN AZHEIMER'S DISEASE

6.6 CONCLUSION

REFERENCES

Chapter 7: Contribution of Phospholipid, Sphingolipids, and Cholesterol-derived Lipid Mediators in the Pathogenesis of Metabolic Syndrome and Neurological Disorders

7.1 INTRODUCTION

7.2 FATTY ACIDS IN METABOLIC SYNDROME

7.3 EICOSANOIDS AND OTHER ARACHIDONIC ACID-DERIVED METABOLITES IN METABOLIC SYNDROME

7.4 DIACYLGLYCEROLS IN METABOLIC SYNDROME

7.5 CERAMIDE IN METABOLIC SYNDROME

7.6 ENDOCANNABINOIDS IN METABOLIC SYNDROME

7.7 CHOLESTEROL AND OXY/HYDROXYSTEROL IN METABOLIC SYNDROME

7.8 FATTY ACIDS IN NEUROLOGICAL DISORDERS

7.9 EICOSANOIDS IN NEUROLOGICAL DISORDERS

7.10 4-HYDROXYNONENAL IN NEUROLOGICAL DISORDERS

7.11 DIACYLGLYCEROL IN NEUROLOGICAL DISORDERS

7.12 CANNABINOIDS IN NEUROLOGICAL DISORDERS

7.13 CERAMIDE IN NEUROLOGICAL DISORDERS

7.14 OXY/HYDROXYCHOLESTEROL IN NEUROLOGICAL DISORDERS

7.15 INTERACTIONS AMONG LIPID MEDIATOR IN METABOLIC SYNDROME AND NEUROLOGICAL DISORDERS

7.16 CONCLUSION

REFERENCES

Chapter 8: Lipids, Cholesterol, and Oxidized Cholesterol in Alzheimer Amyloid Beta-mediated Neurotoxicity

8.1 INTRODUCTION

8.2 MODEL MEMBRANE SYSTEMS

8.3 AMYLOID BETA INTERACTION WITH MEMBRANES

8.4 AMYLOID BETA, CHOLESTEROL, AND MEMBRANE SYSTEMS

8.5 CHOLESTEROL OXIDATION

8.6 OXIDIZED CHOLESTEROL AND AMYLOID BETA

8.7 CONCLUSION

ACKNOWLEDGMENTS

REFERENCES

Chapter 9: Of Sound Mind and Body: Dietary Lifestyles, Promotion of Healthy Brain Aging, and Prevention of Dementia in Healthy Individuals

9.1 INTRODUCTION

9.2 ALZHEIMER DISEASE DEMENTIA

9.3 ROLE OF GRAPE-DERIVED POLYPHENOLS IN THE PREVENTION OF AD: A MODIFIABLE LIFESTYLE FACTOR DURING AGING

9.4 AD IS PREVENTABLE THROUGH MODIFIABLE LIFESTYLE INTEVENTIONS: PRIMARY, SECONDARY, AND TERTIARY INTERVENTIONS

9.5 EPIGENETIC MODIFICATIONS AND ITS ROLE IN DIABETES

9.6 CONCLUSION: THE FUTURE OF TRANSLATIONAL SCIENCE IN DIETARY LIFESTYLE APPLICATIONS AS A FUNCTION OF PATHOLOGICAL COGNITIVE DECLINE

ACKNOWLEDGMENTS

REFERENCES

Chapter 10: Metabolic Syndrome as an Independent Risk Factor of Silent Brain Infarction

10.1 INTRODUCTION

10.2 EPIDEMIOLOGY AND CHARACTERISTICS OF SBI

10.3 CLINICAL IMPACTS OF SBI

10.4 METABOLIC SYNDROME AND SBI: CURRENT EVIDENCES

10.5 POSSIBLE MECHANISMS OF SBI IN MetS

10.6 IS SBI REALLY SILENT?

10.7 CONCLUSION

REFERENCES

Chapter 11: Neurochemical Linkage Among Metabolic Syndrome, Alzheimer Disease, and Depression

11.1 INTRODUCTION

11.2 METABOLIC SYNDROME IS AN INFLAMMATORY CONDITION

11.3 VAGUS IS THE MESSENGER BETWEEN THE LIVER AND THE BRAIN

11.4 HYPOTHALMIC NEUROPEPTIDES AND METABOLIC SYNDROME

11.5 HYPOTHALMIC INFLAMMATION OCCURS IN METABOLIC SYNDROME IN WHICH BDNF AND PUFAs HAVE A ROLE

11.6 ALZHEIMER DISEASE, BDNF, AND PUFA

11.7 OXIDATIVE STRESS AND INFLAMMATION IN AD

11.8 CHOLINERGIC SYSTEM AND AD

11.9 PUFAs AND BDNF INTERACT WITH EACH OTHER

11.10 DEPRESSION IS A LOW-GRADE SYSTEMIC INFLAMMATORY CONDITION

11.11 PUFAs IN DEPRESSION

11.12 CONCLUSION

ACKNOWLEDGMENTS

REFERENCES

Chapter 12: Alterations in the Endocannabinoid System as a Link Between Unbalanced Energy Homeostasis, Neuroinflammation, and Neurological and Neuropsychiatric Disorders

12.1 INTRODUCTION: THE ENDOCANNABINOID SYSTEM

12.2 ENDOCANNABINOID SYSTEM ALTERATIONS IN METABOLIC DISORDERS

12.3 ENDOCANNABINOID SYSTEM ALTERATIONS IN NEUROINFLAMMATION AND ALZHEIMER DISEASE

12.4 ENDOCANNABINOID SYSTEM ALTERATIONS IN STRESS, DEPRESSION AND PSYCHIATRIC DISORDERS

12.5 CONCLUSION

REFERENCES

Chapter 13: Metabolic Syndrome, Alzheimer Disease, Schizophrenia, and Depression: Role for Leptin, Melatonin, Kynurenine Pathways, and Neuropeptides

13.1 INTRODUCTION

13.2 TRYPTOPHAN CATABOLITE (TRYCAT) PATHWAYS

13.3 LEPTIN AND TRYCATs

13.4 TREATMENT IMPLICATIONS

13.5 CONCLUSION

REFERENCES

Chapter 14: Binge Eating and Metabolic Syndrome

14.1 INTRODUCTION

14.2 DEMOGRAPHICS

14.3 EATING- AND WEIGHT-RELATED BEHAVIORAL CORRELATES

14.4 DIETING, BINGE EATING, AND METABOLIC SYNDROME

14.5 METABOLIC IMPACT OF BINGE EATING

14.6 EATING DISORDERS AND DEVELOPMENT OF METABOLIC SYNDROME

14.7 BRAIN AND ENERGY BALANCE

14.8 THE ROLE OF SOME PSYCHOPHYSIOLOGICAL MECHANISMS

14.9 CONCLUSION

REFERENCES

Chapter 15: Phytochemical Principles in the Traditional Indian System of Medicine Used for the Management of Metabolic Syndrome

15.1 INTRODUCTION

15.2 ROLE OF MEDICINAL PLANTS IN THE MANAGEMENT OF METABOLIC SYNDROME

15.3 CONCLUSION

REFERENCES

Chapter 16: Oxidative Stress and Obesity: Their Impact on Metabolic Syndrome

16.1 INTRODUCTION

16.2 OBESTY AND OXIDATIVE STRESS IN ADIPOSE TISSUE

16.3 OXIDATIVE STRESS AND ADIPOCYTOKINES

16.4 OVERNUTRITION AND OXIDATIVE STRESS

16.5 OXIDATIVE STRESS AND INSULIN RESISTANCE

16.6 SYSTEMIC OXIDATIVE STRESS AND METABOLIC SYNDROME

16.7 OXIDATIVE STRESS AND CLINICAL TREATMENTS

REFERENCES

Chapter 17: The Relationship Among Obesity, Inflammation, and Insulin Resistance

17.1 INTRODUCTION

17.2 INFLAMMATION IN OBESITY

17.3 INFLAMMATION AND INSULIN RESISTANCE PATHWAYS

17.4 ENDOPLASMIC RETICULUM STRESS AND INSULIN RESISTANCE

17.5 THE ROLE OF THE COMMENSALLY FLORA OR MICROBIOTA IN THE METABOLIC INFLAMMATION

17.6 CONCLUSION

REFERENCES

Chapter 18: Involvement of Adipocytokines in Pathogenesis of Insulin Resistance, Obesity, and Metabolic Syndrome

18.1 INTRODUCTION

18.2 ADIPONECTIN

18.3 RESISTIN

18.4 RETINOL-BINDING PROTEIN 4 (RBP4)

18.5 LEPTIN

18.6 VISFATIN

18.7 THERAPEUTIC INTERVENTIONS IN RELATION TO ADIPOCYTOKINES

ACKNOWLEDGMENTS

REFERENCES

Chapter 19: Obesity, Inflammation, and Vascular Disease: Novel Insight in the Role of Adipose Tissue

19.1 INTRODUCTION

19.2 ADIPOSE TISSUE AS AN ENDOCRINE ORGAN

19.3 ADIPOCYTOKINE AND CARDIOVASCULAR RISK

19.4 EFFECTS OF WEIGHT LOSS

19.5 CONCLUSION

REFERENCES

Chapter 20: Is Diabetes a Risk Factor for Parkinson Disease?

20.1 INTRODUCTION

20.2 PARKINSON DISEASE

20.3 TYPE 2 DIABETES

20.4 IS THERE ANY MOLECULAR LINK BETWEEN TYPE 2 DIABETES AND PARKINSON DISEASE?

20.5 CONCLUSION

REFERENCES

Chapter 21: Role of Iron in the Pathogenesis of Diabetes and Metabolic Syndrome

21.1 INTRODUCTION

21.2 IRON HOMEOSTASIS, BIOLOGICAL FUNCTION AND TOXICITY

21.3 IRON DEFICIENCY

21.4 IRON OVERLOAD

21.5 POSSIBLE MECHANISMS BY WHICH IRON INVOLVES IN THE PATHOGENESIS OF DIABETES AND DIABETIC COMPLICATIONS

21.6 POSSIBLE THERAPY FOR DIABETES AND DIABETIC COMPLICATIONS USING IRON CHELATORS

21.7 CONCLUSION

ACKNOWLEDGMENTS

REFERENCES

Chapter 22: Contributions of AMP Kinase to the Pathogenesis of Type 2 Diabetes and Neurodegenerative Diseases

22.1 INTRODUCTION

22.2 BACKGROUND

22.3 AMPK AND HUMAN HEALTH

22.4 DIABETES MODULATES FUNCTIONS OF THE NERVOUS SYSTEM

22.5 AMPK AND NEURODEGENERATIVE DISEASES

22.6 CONCLUSION: AMPK—A COMMON MOLECULAR TARGET FOR THE TREATMENT OF DIABETES AND NEURODEGENERATIVE DISEASES?

ACKNOWLEDGMENTS

REFERENCES

Chapter 23: Aβ Deposition, Insulin Signaling, and Tau Phosphorylation in Animal Models of Alzheimer Disease and Diabetes

23.1 INTRODUCTION

23.2 AD AND DIABETES

23.3 AD MODELS WITH DIABETES

23.4 CONCLUSION

ACKNOWLEDGMENTS

REFERENCES

Chapter 24: IN VIVO Evidence of the Convergence of Type 2 Diabetes and Alzheimer Disease

24.1 INTRODUCTION

24.2 STUDIES IN DIABETES MELLITUS MODELS (TABLE 24.1)

24.3 STUDIES WITH AD MODELS (TABLE 24.2)

24.4 THERAPEUTIC TRIALS WITH ANTI-DIABETIC AGENTS WITH AD MODELS (TABLE 24.3)

24.5 CONCLUSION

24.6 ACKNOWLEDGMENTS

REFERENCES

Chapter 25: Metabolic Syndrome and Its Impact on Cardiovascular Disease

25.1 INTRODUCTION

25.2 BRIEF HISTORY OF METABOLIC SYNDROME

25.3 BRIEF OVERVIEW OF THE ATHEROSCLEROSIS MECHANISMS

25.4 METABOLIC SYNDROME AND THE RISK OF CARDIOVASCULAR DISEASE

25.5 ATHEROSCLEROSIS ORIGINATES IN OUR YOUTH

25.6 FEATURES OF METABOLIC SYNDROME AND THEIR IMPACT ON ATHEROSCLEROSIS DEVELOPMENT

25.7 IS METABOLIC SYNDROME A USEFUL CONCEPT WHEN IT COMES TO CARDIOVASCULAR DISEASE PREVENTION?

25.8 CONCLUSION

REFERENCES

Chapter 26: Contribution of Inflammation, Adiponectin, and Obesity in Cardiovascular Diseases

26.1 INTRODUCTION

26.2 ATHEROSCLEROSIS

26.3 ADIPONECTIN

26.4 CONCLUSION

ACKNOWLEDGMENTS

REFERENCES

Chapter 27: Brain and Cardiovascular Diseases: Molecular Aspects

27.1 INTRODUCTION

27.2 NEUROANATOMY AND NEUROCHEMISTRY OF THE CARDIOVASCULAR REGULATION

27.3 CONVENTIONAL NEUROTRANSMITTERS

27.4 NONCONVENTIONAL NEUROTRANSMITTERS

27.5 DISTURBANCES IN CARDIOVASCULAR REGULATION

27.6 CENTRAL REGULATION OF THE CARDIOVASCULAR SYSTEM IN THE CARDIOVASCULAR DISEASES

27.7 CONCLUSION

ACKNOWLEDGMENT

REFERENCES

Chapter 28: Molecular Aspects of Dietary–Exercise Regimen for the Prevention of Metabolic Syndrome

28.1 INTRODUCTION

28.2 EVIDENCE FOR THE BENEFICIAL EFFECTS OF EXERCISE

28.3 THE EFFECT OF EXERCISE ON METABOLIC CAPACITY IN OTHER METABOLIC ORGANS

28.4 CONCLUSION

REFERENCES

Chapter 29: Ghrelin, Lipid Metabolism, and Metabolic Syndrome

29.1 INTRODUCTION

29.2 GHRELIN: A STOMACH-DERIVED PEPTIDE MODULATING ENERGY BALANCE

29.3 GHRELIN EFFECTS ON FOOD-INTAKE ARE MEDIATED BY THE OREXIGENIC NPY/AGRP NEURONS

29.4 TRANSCRIPTIONAL MACHINERY MEDIATING THE HYPOTHALAMIC ACTIONS OF GHRELIN

29.5 HYPOTHALAMIC FATTY ACID METABOLISM AND AMPK MEDIATE GHRELIN'S ACTIONS ON FOOD INTAKE

29.6 GHRELIN AND THE HYPOTHALAMIC SIRTUIN1 (SIRT1)/P53 AXIS

29.7 DOES GHRELIN ACT ON ALTERNATIVE CANONICAL ENERGY SENSORS BESIDES AMPK AND SIRT1?

29.8 CENTRAL GHRELIN ACTIONS ON PERIPHERAL LIPID METABOLISM

29.9 CONCLUSION

ACKNOWLEDGMENTS

REFERENCES

Chapter 30: Leptin and Cognitive Function

30.1 INTRODUCTION

30.2 LEPTIN

30.3 LEPTIN EXPRESSION IN THE BRAIN

30.4 LEPTIN RECEPTOR

30.5 SUPPRESSOR OF CYTOKINE SIGNALING (SOCS)-3

30.6 THE mTOR PATHWAY

30.7 LEPTIN TRANSPORT TO THE BRAIN

30.8 LEPTIN REGULATION OF HIPPOCAMPAL FUNCTION

30.9 LEPTIN AND DEVELOPMENT

30.10 LEPTIN AND AGING

30.11 LEPTIN AND NEURODEGENERATIVE DISORDERS

30.12 LEPTIN AND NEUROPROTECTION

30.13 LEPTIN AND AMYLOID BETA

30.14 CONCLUSION

ACKNOWLEDGMENTS

REFERENCES

Chapter 31: Fructose, Sugar Consumption, and Metabolic Diseases

31.1 INTRODUCTION

31.2 FOOD ENERGY: THE ROLE OF THE LIVER IN PROCESSING ENERGETIC SUBSTRATES

31.3 SPLANCHNIC FRUCTOSE METABOLISM

31.4 METABOLIC EFECTS OF HIGH FRUCTOSE DIETS IN ANIMAL MODELS

31.5 EFFECTS OF FRUCOSE ON HUMAN HEALTH

31.6 FRUCTOSE AND HUMAN OBESITY

31.7 EFFECT OF FRUCTOSE ON BLOOD LIPIDS IN HUMANS

31.8 FRUCTOSE AND NONALCOHOLIC FATTY LIVER DISEASE

31.9 EFFECTS OF FRUCTOSE ON INSULIN SENSITIVITY AND GLUCOSE HOMEOSTASIS

31.10 EFFECTS OF FRUCTOSE ON BLOOD PRESSURE AND URIC ACID CONCENTRATIONS

31.11 EFFECTS OF FRUCTOSE ACCORDING TO GENDER

31.12 CONCLUSION

REFERENCES

Chapter 32: Inflammation-Mediated Cognitive and Emotional Alterations in Experimental Models of Metabolic Syndrome

32.1 INTRODUCTION

32.2 METABOLIC SYNDROME AND NEUROPSYCHIATRIC SYMPTOMS

32.3 ANIMAL MODELS OF METABOLIC SYNDROME

32.4 MECHANISMS UNDERLYING THE ASSOCIATION BETWEEN METABOLIC SYNDROME AND NEUROPSYCHIATRIC SYMPTOMS

32.5 INFLAMMATION, SICKNESS BEHAVIOR, AND NEUROPSYCHIATRIC SYMPTOMS

32.6 ROLE OF INFLAMMATION IN EMOTIONAL AND COGNITIVE ALTERATIONS ASSOCIATED WITH METABOLIC SYNDROME

32.7 CONCLUSION

REFERENCES

Chapter 33: Summary and Perspective

33.1 INTRODUCTION

33.2 EFFECT OF DIET ON MetS AND NEUROLOGICAL DISORDERS

33.3 NEUROCHEMICAL LINKS BETWEEN MetS AND NEUROLOGICAL DISORDERS

33.4 CONCLUSION

REFERENCES

Index

This edition first published 2013 © 2013 by John Wiley & Sons, Inc.

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Library of Congress Cataloging-in-Publication Data

Metabolic syndrome and neurological disorders / Tahira Farooqui and Akhlaq A. Farooqui, editors. p. ; cm. Includes bibliographical references and index. ISBN 978-1-118-39527-1 (cloth : alk. paper) -- ISBN 978-1-118-39528-8 (Epub) -- ISBN 978-1-118-39529-5 (Epdf) -- ISBN 978-1-118-39530-1 (Emobi) -- ISBN 978-1-118-39531-8 (ebook) I. Farooqui, Tahira, editor of compilation. II. Farooqui, Akhlaq A., editor of compilation. [DNLM: 1. Metabolic Syndrome X--etiology. 2. Metabolic Syndrome X--metabolism. 3. Nervous System Diseases--etiology. 4. Nervous System Diseases--metabolism. WK 820] RC629 616.3′99--dc23 2013029484

A catalogue record for this book is available from the British Library.

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Cover image: body image © angelhell Cover design by Nicole Teut

Dedicated to our late parents

For their unconditional love, support and understanding.

“Every human being is the author of his own health or disease.”

Siddhārtha Gautama Buddha

FOREWORD

Metabolic syndrome (MetS) is a pathologic state that most often results from a chronic positive energy balance due to an excessive energy intake (particularly refined sugars and saturated and trans fats) and a sedentary lifestyle. The defining clinical features of MetS are insulin resistance, central obesity, dyslipidemia, and hypertension. It was established several decades ago that MetS is prodromal to diabetes and that individuals with MetS have a high risk of myocardial infarction and stroke. However, within the past ten years it has become clear that MetS adversely affects brain structure and function and is a risk factor for Alzheimer disease (AD) and stroke. In Metabolic Syndrome and Neurological Disorders Tahira and Akhlaq Farooqui have drawn upon the knowledge of experts in the fields of neuroscience, neurology, endocrinology, cardiovascular disease, obesity, and diabetes to compile a timely review of the impact of MetS on the brain and its vulnerability to neurological disorders. This is a critically important area of research for four major reasons: (1) there is an ongoing epidemic of overweight, obesity, and MetS in modern societies; (2) due to advances in the early diagnosis and treatment of cancers and cardiovascular disease, large numbers of individuals are reaching their seventh, eighth, and ninth decades of life, the “danger zones” for AD and stroke; (3) there are no effective drugs to counteract the neuronal damage that occurs in AD and stroke; and (4) AD patients and stroke patients often require a decade or more of constant care, and therefore place a greater personal and economic burden on society than many other major diseases. Although less profound, emerging evidence also suggests that, in addition to AD and stroke, the MetS may predispose to a broader range of neurological disorders including Parkinson disease, depression, and possibly schizophrenia.

Because of its adverse effects on essentially all organ systems including the brain, an understanding of the molecular and cellular alterations that cause the MetS, and the mechanisms by which the MetS promotes dysfunction and degeneration of brain cells, will be required to develop novel approaches for preventing and treating MS and associated diseases. As detailed in Metabolic Syndrome and Neurological Disorders, alterations resulting from a chronic positive energy balance that are involved in the genesis of the MetS include oxidative stress and inflammation and associated dysregulation of lipid (sphingolipids, cholesterol, and others) metabolism. As a result, signaling pathways that normally protect brain cells and promote their optimal functionality are impaired, including pathways activated by the hormones insulin, leptin, adiponectin, and brain-derived neurotrophic factor (BDNF). In addition, oxidative stress, inflammation, and abnormal lipid metabolism can increase the production and/or reduce the removal of the neurotoxic amyloid beta-peptide, which likely contributes to the dysfunction and degeneration of neurons in AD. With regards to the pathogenesis of stroke, hypertension, dyslipidemia, and local oxidative stress and inflammation in cerebral blood vessels result in a narrowing and weakening of the vessels.

The good news for those with motivation is that the MetS can be effectively prevented and treated by adherence to prescriptions for exercise and dietary energy restriction. Exercise and energy restriction (particularly intermittent fasting) can prevent or reverse MetS by enhancing insulin sensitivity, increasing utilization of fats, stimulating antioxidant and anti-inflammatory pathways, and enhancing parasympathetic tone, which decreases blood pressure. Recent findings from animal research, and epidemiological and clinical studies, suggest that AD and stroke may also be prevented or delayed by regular exercise and moderation in energy intake during adult life. In addition to protecting the brain by reversing all of the peripheral manifestations of the MetS, exercise and energy restriction have been shown to have direct effects on brain cells that optimize brain function and may forestall AD and stroke. These include increased production of neurotrophic factors, improved cellular bioenergetics, and reduced oxidative stress.

For those unwilling or unable to exercise regularly and restrict their calorie intake so as to maintain a normal body weight Metabolic Syndrome and Neurological Disorders reviews potential dietary and drug interventions that are being developed and tested in clinical studies. As with research toward understanding disease mechanisms, translational research for MetS and neurodegenerative disorders is accelerated by the use of animal models. Studies of animal models of AD and stroke have demonstrated beneficial effects of insulin, leptin, incretin peptides such as glucagon-like peptide 1 analogs, and PPAR-γ agonists that are insulin-sensitizing agents such as metformin and rosiglitazone. Many of these drugs are now in clinical trials in patients with mild cognitive impairment or early AD. Targeting lipid metabolism is also being pursued via studies of dietary supplementation with omega-3 fatty acids or the use of cholesterol-lowering drugs. Other approaches that might prove beneficial for protecting the brain in subjects with MetS include drugs that suppress appetite, such as cannabinoid receptor antagonists. This book will provide a valuable resource to guide future research projects to disentangle the complex cellular and molecular underpinnings of MetS-related neuropathologies, and to thereby inform the development of novel therapeutic interventions for neurological disorders.

MARK P. MATTSON National Institute on AgingIntramural Research ProgramBaltimore, MD

PREFACE

At the end of 2011, the United Nations declared for the first time in the history of humanity that non-communicable diseases had outpaced infectious diseases as the main global threat to human health. Among non-communicable diseases, metabolic syndrome (MetS), cardiovascular diseases, and Alzheimer disease (AD) are of paramount importance. MetS is a condition characterized by clustering of insulin resistance, hyperinsulinemia, hypertension, dyslipidemia, impaired glucose disposal, type 2 diabetes, abnormal blood fat levels, fatty liver disease, and abdominal obesity. Changes in human dietary habits in recent decades have led to the consumption of hypercaloric diets that are rich in saturated fats and simple sugars (sucrose, glucose, and fructose). The MetS is a highly prevalent pathological condition that affects a considerate number of adult humans. Approximately one-fourth of European, American, and Canadian adults suffer from MetS. Clustering of insulin resistance, hyperinsulinemia, hypertension, dyslipidemia, impaired glucose disposal, type 2 diabetes, and abdominal obesity reflects over-nutrition, sedentary lifestyles, physical inactivity, and resultant excess adiposity. At the molecular level, MetS is accompanied not only by dysregulation in the expression of adipocytokines and chemokines, but also by increase in levels of lipids and lipid mediators (free fatty acids, di- and triacylglycerols, and ceramide). These changes modulate immune response and inflammation that lead to alterations in the hypothalamic body-weight/appetite/satiety set point, resulting in the initiation and development of MetS.

MetS is a risk factor for neurological disorders such as stroke, depression, and AD. The molecular mechanism underlying the relationship between MetS and neurological disorders is not fully understood. However, major mechanisms through which MetS may influence stroke, AD, and depression include insulin resistance, impairment in insulin receptor, and insulin growth factor signaling, glucose toxicity, elevated levels of phospholipid-, sphingolipid-, and cholesterol-derived lipid mediators, generation of advanced glycation endproducts, activation of receptor for advanced glycation endproducts, cerebrovascular injury, and vascular inflammation that may represent a pathological bridge between MetS and neurological disorders such as stroke, AD, and depression.

Information on molecular links between MetS and neurological disorders is scattered throughout the literature mainly in the form of original papers and some reviews. Although, many books are published on biochemistry of MetS and neurological disorders separately, at present there are no books on the relationship between MetS and neurological disorders. As the Baby Boomer generation grows older, enormous impact of MetS on neurological disorders will be felt by American society. The projected cost to Medicare for treating stroke, Alzheimer disease, and depression is estimated to be about 5 trillion dollars by 2050. This number does not include other visceral and neurological diseases, or various types of cancers. Such an amount will not only burst NIH budget, but also will seriously affect US economy. Although available drugs may not reverse the stroke, AD, and depression, healthy diet, regular exercise, and retardation of MetS may produce beneficial effects not only on motor and cognitive functions, but also on memory deficits that occur to some extent during normal aging and to a large extent in stroke, AD, and depression. This edited book provides readers with a comprehensive and cutting-edge description of the links among MetS, stroke, AD, and depression in a manner that is useful not only to students and teachers but also to researchers, dietitians, nutritionists, and physicians.

This edited book presents research activities related to MetS and neurological disorders from 16 countries within 33 chapters. Chapters 1–6 are devoted to insulin signaling in the brain and its implications on aging and neurological disorders. Chapters 7 and 8 are focused on cutting-edge information on the contribution of lipid and cholesterol-derived mediators in the pathogenesis of MetS and neurological disorders. Chapters 9–15 provide information on the effect of dietary lifestyle on MetS and neurological disorders. Chapters 16–19 discuss the biochemical impact of oxidative stress and obesity on MetS. Chapters 20–24 deal with the relationship between diabetes and neurodegenerative diseases. Chapters 25 and 26 describe MetS and its impact on heart disease. Chapter 27 explores a perspective on molecular aspects of brain and cardiovascular diseases. Chapter 28 discusses molecular aspects of dietary–exercise regimen in prevention of MetS. Chapters 29–31 address the contribution of two hormones (Leptin and Ghrelin) that have a major influence on energy balance and sugar consumption in metabolic diseases. Chapter 32 elegantly reviews inflammation-mediated cognitive and emotional alterations in experimental models of MetS. Finally, Chapter 33 provides readers with an in-depth perspective on current progress that will be important for future research work to understand the relationship between MetS and neurological disorders.

We have tried to ensure uniformity and mode of presentation as well as a logical progression from one topic to another and have provided extensive bibliographies. For the sake of simplicity and uniformity, a large number of figures with chemical structures of drugs used for the treatment of metabolic syndrome and neurological disorders along with line diagrams of colored signal transduction pathways are included. We hope that our attempt to integrate and consolidate the knowledge on metabolic links among MetS, stroke, Alzheimer disease, and depression will initiate more studies on molecular mechanisms that link metabolic syndrome with neurological disorders. This knowledge may be useful in developing treatments of MetS-mediated neurological disorders.

TAHIRA FAROOQUI AKHLAQ A. FAROOQUI Columbus, OH

ACKNOWLEDGMENTS

We thank all the authors of this book who shared their expertise by contributing chapters of a high standard, thus making our editorial task easier. We are grateful for the cooperation and patience of Justin Jeffryes, Executive Editor at Wiley-Blackwell Publishing, for the professional handling of the manuscript. We are also thankful to Stephanie Dollan for suggestions and recommendations during compilation of this book and our Project Manager Shikha Sharma for managing the proof trafficking and maintaining the quality of this book. This book would not have been possible without the help and patience of our authors and publisher.

TAHIRA FAROOQUI AKHLAQ A. FAROOQUI

CONTRIBUTORS

Adnan Erol, Internal Medicine, Erol Project Development House for the Disorders of Energy Metabolism, Silivri-Istanbul, Turkey
Akhlaq A. Farooqui, Department of Molecular and Cellular Biochemistry, The Ohio State University, Columbus, OH, USA
Amanda Bilski, Department of Neurology, Mount Sinai School of Medicine, New York, NY, USA
Ana I. Duarte, Center for Neuroscience and Cell Biology, University of Coimbra, 3004-517 Coimbra, Portugal
Ana I. Plácido, Center for Neuroscience and Cell Biology, University of Coimbra, 3004-517 Coimbra, Portugal and Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal
Brunella Ziello, Division of Cardiology, Second University of Naples, Naples, Italy
Bruno Fève, Institut des maladies cardiométa-boliques et de la nutrition (IHU ICAN), INSERM, UPMC, UMR_S938, Faculté de Médecine Pierre et Marie Curie, site Saint-Antoine, France and Service d'Endocrinologie–Métabolisme, Hôpital Saint-Antoine, Paris, France
Catarina R. Oliveira, Center for Neuroscience and Cell Biology, University of Coimbra, 3004-517 Coimbra, Portugal and Laboratory of Biochemistry, Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal
Cristina Carvalho, Center for Neuroscience and Cell Biology, University of Coimbra, 3004-517 Coimbra, Portugal and Life Sciences Department, University of Coimbra, 3001-401 Coimbra, Portugal
Edward T.H. Yeh, Division of Cardiology, Second University of Naples, Naples, Italy
Emanuel Candeias, Center for Neuroscience and Cell Biology, University of Coimbra, 3004-517 Coimbra, Portugal
Emma Burgos-Ramos, Department of Endocrinology, Hospital Infantil Universitario Niño Jesús, Instituto de Investigación La Princesa, Madrid, Spain
Enrica Golia, Division of Cardiology, Second University of Naples, Naples, Italy
Ewa Szczepanska-Sadowska, The Medical University of Warsaw, Department of Experimental and Clinical Physiology, Warsaw, Poland
Fabio Fimiani, Division of Cardiology, Second University of Naples, Naples, Italy
George Anderson, CRC, Glasgow, Scotland
Giulio Maria Pasinetti, Department of Neurology, Mount Sinai School of Medicine, New York, NY, USA; GRECC, James J. Peters Veterans Affairs Medical Center, Bronx, NY, USA
Giuseppe Limongelli, Division of Cardiology, Second University of Naples, Naples, Italy
Gunter Almer, Research Unit on Lifestyle and Inflammation-associated Risk Biomarkers, Clinical Institute of Medical and Chemical Laboratory Diagnosis, Graz, Austria
Harald Mangge, Research Unit on Lifestyle and Inflammation-Associated Risk Biomarkers, Clinical Institute of Medical and Chemical Laboratory Diagnosis, Graz, Austria
Hardik Gandhi, Pharmacology Lab, Pharmacy Department, Faculty of Technology & Engineering, The Maharaja Sayajirao University of Baroda, Vadodara, Gujarat, India
Hicham Mahboubi, Department of Physiology, McGill University, Montreal, Canada
Hyung-Min Kwon, Department of Neurology, Seoul National University Boramae Hospital, Seoul, Republic of Korea
Iichiro Shimomura, Department of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
Jae-Sung Lim, Department of Neurology, Seoul National University Boramae Hospital, Seoul, Republic of Korea
Jean-Philippe Bastard, Service de Biochimie et Hormonologie, and Institut des maladies cardiométaboliques et de la nutrition (IHU ICAN), INSERM, UPMC, UMR-S938, Faculté de Médecine Pierre et Marie Curie, site Saint-Antoine, Service de Biochimie et Hormonologie, Hôpital Tenon, France
Jenni Harvey, Division of Neuroscience, Medical Research Institute, Ninewells Hospital and Medical School, University of Dundee, Scotland
Jesús Argente, Department of Endocrinology, Hospital Infantil Universitario Niño Jesús, Instituto de Investigación La Princesa; Department of Pediatrics, Universidad Autónoma de Madrid and Centro de Investigación Biomédica en Red de Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, E-28009, Madrid, Spain
Johanna Zemva, Center for Molecular Medicine Cologne (CMMC), Center for Endocrinology, Diabetes and Preventive Medicine (CEDP), University of Cologne, Cologne, Germany
John A. Larry, Assistant Professor of Medicine, Division of Cardiovascular Medicine, The Ohio State University, Wexner Medical Center, Columbus, OH, USA
Jun Wang, Department of Neurology, Mount Sinai School of Medicine, New York, NY, USA; GRECC, James J. Peters Veterans Affairs Medical Center, Bronx, NY, USA
Lap Ho, Department of Neurology, Mount Sinai School of Medicine, New York, NY, USA; GRECC, James J. Peters Veterans Affairs Medical Center, Bronx, NY, USA
Luc Tappy, Department of Physiology, Lausanne University School of Biology and Medicine, Lausanne, Switzerland
Kenjiro Ono, Department of Neurology and Neurobiology and Aging, Kanazawa University Graduate School of Medical Science, Kanazawa, Japan
Lu Cai, Departments of Pediatrics, Radiation Oncology, and Pharmacology and Toxicology, The University of Louisville, Louisville, KY, USA
Maite Solas, Department of Pharmacology and Division of Neurosciences, CIMA, University of Navarra, Pamplona, Spain
Maria Giovanna Russo, Division of Cardiology, Second University of Naples, Naples, Italy
Maria J. Ramírez, Department of Pharmacology and Division of Neurosciences, CIMA, University of Navarra, Pamplona, Spain
Maria S. Santos, Center for Neuroscience and Cell Biology, University of Coimbra, 3004-517 Coimbra, Portugal and Life Sciences Department, University of Coimbra, 3001-401 Coimbra, Portugal
Mario Crisci, Division of Cardiology, Second University of Naples, Naples, Italy
Mario Ferruzzi, Departments of Nutrition Science and Food Science, Purdue University, West Lafayette, IN, USA
Mark P. Mattson, Laboratory of Neurosciences, Baltimore, MD, USA
Markus Schubert, Center for Molecular Medicine Cologne (CMMC), Center for Endocrinology, Diabetes, and Preventive Medicine (CEDP), University of Cologne, Cologne, Germany; Cluster of Excellence: Cellular Stress Responses in Aging-Associated Diseases, University of Cologne, Cologne, Germany; Internal Medicine, SCIVIAS- Hospital St. Josef, Rüdesheim am Rhein, Germany
Masahiro Takagi, School of Materials Science, Japan Advanced Institute of Science and Technology, 1-1 Asahidai, Nomi City, Ishikawa, Japan.
Masahito Yamada, Department of Neurology and Neurobiology and Aging, Kanazawa University Graduate School of Medical Science, Kanazawa, Japan
Masamune Morita, School of Materials Science, Japan Advanced Institute of Science and Technology, 1-1 Asahidai, Nomi City, Ishikawa, Japan
Michael Maes, Department of Psychiatry Faculty of Medicine, Pathumwan, Bangkok 10330, Thailand
Miguel López, Department of Physiology, CIMUS, University of Santiago de Compostela-Instituto de Investigación Sanitaria, Santiago de Compostela (IDIS) & CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Spain
Ming Tong, Medicine, Rhode Island Hospital and the Warren Alpert Medical School of Brown University, Providence, RI, USA
Mohamed Kodiha, Department of Physiology, McGill University, Montreal, Canada
Morihiro Matsuda, Laboratory of Preventive Medicine, Institute of Clinical Research, National Hospital Organization, Kure Medical Center and Chugoku Cancer Center, Hiroshima, Japan
Mun'delanji C. Vestergaard, School of Materials Science, Japan Advanced Institute of Science and Technology, Ishikawa, Japan
Naoyuki Sato, Department of Clinical Gene Therapy, and Department of Geriatric Medicine, Osaka University, Graduate School of Medicine, Osaka, Japan
Nathalie Castanon, Laboratory of Nutrition and Integrative Neurobiology, UMR 1286 INRA, University of Bordeaux, Bordeaux, France
Neetu Mishra, Centre of Food Technology, University of Allahabad, Allahabad, India
Pablo B. Martínez de Morentin,Department of Physiology, CIMUS, University of Santiago de Compostela-Instituto de Investigación Sanitaria, Santiago de Compostela (IDIS) & CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Spain
Paolo Calabro, Division of Cardiology, Second University of Naples, Naples, Italy
Paula I. Moreira, Center for Neuroscience and Cell Biology, University of Coimbra, 3004-517 Coimbra, Portugal and Laboratory of Physiology, Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal
Ramachandran Balaraman, Pharmacology Lab, Pharmacy Department, Faculty of Technology & Engineering, The Maharaja Sayajirao University of Baroda, Vadodara, Gujarat, India
Raffaele Calabro, Division of Cardiology, Second University of Naples, Naples, Italy
Renato X. Santos, Center for Neuroscience and Cell Biology, University of Coimbra, 3001-401 Coimbra, Portugal and Life Sciences Department, University of Coimbra, 3001-401 Coimbra, Portugal
Ryuichi Morishita, Department of Clinical Gene Therapy, Osaka University, Graduate School of Medicine, Osaka, Japan
Salvatore Mannino, Geriatric Output Unit, Ospedale Alzano, Bergamo, Italy
Sónia C. Correia, Center for Neuroscience and Cell Biology, University of Coimbra, 3004-517 Coimbra, Portugal and Life Sciences Department, University of Coimbra, 3001-401 Coimbra, Portugal
Sophie Layé, Laboratory of Nutrition and Integrative Neurobiology, UMR 1286 INRA, University of Bordeaux, Bordeaux, France
Sun Ah Park, Department of Neurology, Soonchunhyang University College of Medicine, Bucheon Hospital, Bucheon, Korea
Susana Cardoso, Center for Neuroscience and Cell Biology, University of Coimbra, 3004-517 Coimbra, Portugal and Life Sciences Department, University of Coimbra, 3001-401 Coimbra, Portugal
Suzanne M. de la Monte, Departments of Pathology (Neuropathology), Neurology, Neurosurgery, and Medicine, Rhode Island Hospital and the Warren Alpert Medical School of Brown University, Providence, RI, USA
Syed Ibrahim Rizvi, Department of Biochemistry, University of Allahabad, Allahabad, India
Tahira Farooqui, Department of Molecular and Cellular Biochemistry, The Ohio State University, Columbus, OH, USA
Tiziana Bisogno, Endocannabinoid Research Group, Institute of Biomolecular Chemistry, Consiglio Nazionale delle Ricerche, Pozzuoli (NA), Italy
Tsutomu Hamada, School of Materials Science, Japan Advanced Institute of Science and Technology, Ishikawa, Japan
Undurti N. Das, UND Life Sciences, Shaker Heights, OH, USA; Jawaharlal Nehru Technological University, India; Bio-Science Research Centre, Gayatri Vidya Parishad College of Engineering, India
Ursula Stochaj, Department of Physiology, McGill University, Montreal, Canada
Valeria Maddaloni, Division of Cardiology, Second University of Naples, Naples, Italy
Vicente Barrios, Department of Endocrinology, Hospital Infantil Universitario Niño Jesús, Instituto de Investigación La Princesa, Madrid, Spain and Centro de Investigación Biomédica en Red de Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, E-28009, Madrid, Spain
Vincenzo Di Marzo, Endocannabinoid Research Group, Institute of Biomolecular Chemistry, Consiglio Nazionale delle Ricerche, Pozzuoli (NA), Italy
Virgile Lecoultre, Department of Physiology, Lausanne University School of Biology and Medicine, Lausanne, Switzerland
Wataru Aoi, Kyoto Prefectural University, Kyoto, Japan