Metabolic Syndrome: A Comprehensive Update with New Insights -  - E-Book

Metabolic Syndrome: A Comprehensive Update with New Insights E-Book

0,0
57,24 €

-100%
Sammeln Sie Punkte in unserem Gutscheinprogramm und kaufen Sie E-Books und Hörbücher mit bis zu 100% Rabatt.
Mehr erfahren.
Beschreibung

The book focuses on a new interdisciplinary understanding of the metabolic syndrome (MetS) for better health maintenance. It provides an updated understanding of the underlying principles, possible targets, implementation approaches and the effectiveness of various avoidance strategies in MetS. The chapters cover a wide range of topics, including major advances in general aspects of metabolic syndrome, functional changes, new diagnostic methods, genotype-phenotype associations, the effect of exercise and multitarget pharmacotherapeutic strategies for MetS and perspectives on personalized medicine. It also discusses epigenetic mechanisms underlying MetS-related processes and epigenetic strategies to prevent related diseases. The book also presents summarized information about the associated factors and mechanisms linking cancer and MetS and to identify potential targets for the treatment of these patients. A better understanding of the various linkages will provide greater insight into the management of cancer patients by preventing MetS and related alterations.
Key Features
- Comprehensive information focused on the biological factors and physiological changes associated with metabolic syndrome
- Updates on metabolic syndrome diagnosis and management
- Summarized information on clinical implications for cancer therapy
- Thoroughly referenced chapters with summaries and discussions for quick understanding
The book is an informative resource for interdisciplinary scientists and researchers in life sciences and medicine. Furthermore, it, including the insulin-like growth factor (IGF-1) pathway, estrogen signaling, visceral adiposity, hyperinsulinemia, hyperglycemia, aromatase activity, adipokinase production, angiogenesis, oxidative stress, DNA damage and pro-inflammatory cytokines, and their clinical implications in cancer therapy.
Readership
General readers, microbiology and biotechnology enthusiasts, science students and industrial trainees

Das E-Book können Sie in Legimi-Apps oder einer beliebigen App lesen, die das folgende Format unterstützen:

EPUB
MOBI

Seitenzahl: 858

Veröffentlichungsjahr: 2025

Bewertungen
0,0
0
0
0
0
0
Mehr Informationen
Mehr Informationen
Legimi prüft nicht, ob Rezensionen von Nutzern stammen, die den betreffenden Titel tatsächlich gekauft oder gelesen/gehört haben. Wir entfernen aber gefälschte Rezensionen.



Table of Contents
BENTHAM SCIENCE PUBLISHERS LTD.
End User License Agreement (for non-institutional, personal use)
Usage Rules:
Disclaimer:
Limitation of Liability:
General:
FOREWORD
PREFACE
List of Contributors
General Aspects of Metabolic Syndrome: An Update on Diagnostic Criteria, Pathophysiology, and Management
Abstract
INTRODUCTION
Prevalence of Metabolic Syndrome
Significance of Metabolic Syndrome
Pathogenesis of Metabolic Syndrome
Diagnostic Criteria of Metabolic Syndrome
According to the WHO's 1998 Diagnostic Criteria for Metabolic Syndrome [28]
According to the Diagnostic Criteria of NCEP-ATP III [8]
According to the IDF's 2005 Diagnostic Criteria for MetS [29]
Risk Factors of Metabolic Syndrome
COMPONENTS OF METABOLIC SYNDROME
Metabolic Syndrome and Obesity
Metabolic Syndrome and Insulin Resistance
Metabolic Syndrome and Prediabetes
Metabolic Syndrome and Diabetes Mellitus
Metabolic Syndrome and Hypertension
Metabolic Syndrome and Dyslipidemia (Hyperlipidemia)
Metabolic Syndrome and Endothelial Dysfunction
Vascular Inflammation and Prothrombotic Status in Metabolic Syndrome
Metabolic Syndrome and Non-alcoholic Fatty Liver Disease
TREATMENT
CONCLUSION
REFERENCES
Functional Changes in Metabolic Syndrome
Abstract
Introduction
Role of Visceral Fat and Adipokines (Adipocytes) in Metabolic Syndrome
Role of Lectin-Like Oxidized Low-Density Lipoprotein (LOX) Activation
Angiotensin II and Lox (lectin-like Oxidized low-density Lipoprotein) Activation
The Role of Insulin Resistance and Adipose Tissue
Role of Oxidative Stress
Role of the Oral-Gut-Liver Axis in Metabolic Dysfunction
Conclusion
REFERENCES
New Approach to the Diagnosis of Metabolic Syndrome in Children
Abstract
INTRODUCTION
THE DEFINITION OF THE METABOLIC SYNDROME
EPIDEMIOLOGY OF THE METABOLIC SYNDROME
PATHOGENESIS OF THE METABOLIC SYNDROME
Risk Factors
CLINICAL FEATURES OF THE METABOLIC SYNDROME
Obesity
Insulin resistance and hyperinsulinaemia
Insulin measurement methods
HOMA-IR is calculated according to the following formulas:
The Fasting Insulin Sensitivity Index is Calculated According to the Formula [81] (Table 5):
Hypertension (HT)
Dyslipidaemia
SCREENING OF THE METABOLIC SYNDROME
PREVENTION AND TREATMENT OF METABOLIC SYNDROME
CONCLUDING REMARKS
REFERENCES
Association of Metabolic Syndrome with Gastrointestinal Disorders
Abstract
INTRODUCTION
Synonyms of MetS
Epidemiology of Metabolic Syndrome
Diagnostic Criteria for Metabolic Syndrome
National Cholesterol Education Programme 3rd Adult Treatment Panel (NCEP ATP III) Description
Pathogenesis of Metabolic Syndrome
Components of Metabolic Syndrome
Gastrointestinal System
Zonulin
Microbiota
Gut Microbiota
Gut Microbiota and Metabolic Syndrome
Conclusion
REFERENCES
Related Anatomy of Gastrointestinal, Endocrine, Urinary, Nervous System and Morphometric Evaluation in Metabolic Syndrome
Abstract
INTRODUCTION
Pathoanatomical Approach of the Gastrointestinal System in Metabolic Syndrome
Clinical Anatomy of Endocrine & Urinary System in Metabolic Syndrome
Clinical Anatomy of Nervous System in Metabolic Syndrome
New Insights of Morphometric Evaluation in Metabolic Syndrome
CONCLUSION
REFERENCES
Novel Metabolic Panel in Metabolic Syndrome
Abstract
Introduction
MetS biomarkers
Adipokines
Oxidative Stress Biomarkers
Inflammatory Markers
CONCLUSION
REFERENCES
How Would Metabolic Syndrome Disturb the Normal Endothelial Function?
Abstract
Introduction
Vascular Endothelium and its Physiological Function
Disturbed Endothelial Function
Insulin Resistance in METS and Endothelial Dysfunction
Hyperglycemia in MetS and Endothelial Dysfunction
Conclusion
References
Molecular Mechanisms Underlying Metabolic Syndrome
Abstract
INTRODUCTION
The Convergence of Genetic, Environmental Factors and Molecular Pathways in Metabolic Syndrome
Insulin Resistance
Insulin Resistance and Increased Blood Glucose Level
Insulin Resistance and Disrupted Lipid Metabolism
Insulin Resistance and Pro-inflammatory State
Adipose Tissue Dysfunction and Stresses
Adipocyte Hypertrophy
Hypoxia and its Role in Adipose Tissue Dysfunction
Adipose Tissue Stresses and Stress-Responsive Signaling Pathways
Immune Cell Infiltration and Inflammation in Adipose Tissue
ER Stress and Unfolded Protein Response (UPR) in Obesity
Autophagy and its Role in Obesity
Adipokines as Mediators of Adipose Tissue Dysfunction in Obesity
Genetic Factors
Heritability of the Metabolic Syndrome
Single-gene Human Models
Genome-wide Linkage Scanning
Genetic Association Studies
Epigenetics and Regulatory RNAs in the Pathogenesis of Metabolic Syndrome
Mitochondrial Dysfunction and Oxidative Stress
Brown Adipose Tissue (BAT)
Dyslipidemia
Summary
Excessive Caloric Intake and Reduced Energy Expenditure
Insulin Resistance
Hypertriglyceridemia
Low HDL Cholesterol
Hyperglycemia
Pancreatic Beta Cell Dysfunction
Chronic Systemic Inflammation and Oxidative Stress
Adipocyte Stress and Local Tissue Hypoxia
Macrophage Infiltration
Propagation of Inflammation
Adipokines
Effects of Altered Adipokine Milieu and Inflammation
References
Modulation of Genotype-Phenotype Associations in Metabolic Syndrome
Abstract
INTRODUCTION
Association between Genetic Factors and Metabolic Syndrome
Modulation of Metabolic Syndrome and Risk Management
The Role of Omics-data in Personalized Medicine Approach in MetS
Personalized Medicine Approach in MetS
CONCLUDING REMARKS
References
The Interplay between Metabolic Syndrome and Behavior
Abstract
Introduction
The Relationship between MetS and Neuropsychiatric Diseases
Suggested Mechanisms Beyond the Relationship between MetS and Mental Illnesses
Metabolic Syndrome and Stress
Metabolic Syndrome and Cognitive Function
Metabolic Syndrome and Biological Rhythms
Microbiota, Metabolic Syndrome, and Behavior
Behavioral Therapy for Metabolic Syndrome & Its Comorbid Conditions
Conclusion
References
Neutrogenomic Strategies in Metabolic Syndrome
Abstract
INTRODUCTION
GENES RELATED TO MetS
PATHWAYS INVOLVED IN MetS
GENETIC REGULATION IN MetS
NEUTROGENOMIC STRATEGIES IN MetS
Transcriptomics Tools
Proteomics Tools
Metabolomic Tools
Epigenetic Tools
Lipids
Carbohydrates
Proteins
CONCLUDING REMARKS
REFERENCES
Multitarget Pharmacotherapeutic Strategies for Metabolic Syndrome and Related Disorders: Perspectives on Personalized Medicine Using a Pharmacology Network Approach
Abstract
INTRODUCTION
METABOLIC SYNDROME AND RELATED DISORDERS
POLYPHARMACY APPROACH FOR MetS AND RELATED DISORDERS
ROLES OF PRECISION MEDICINE IN MetS AND RELATED DISORDERS
PHARMACOLOGY NETWORK APPROACH FOR POTENTIAL TARGET EXPLORATION IN MetS AND RELATED DISORDERS
Common Workflow for Pharmacology Network Approach and Bioinformatics Analytical Tools Used in MetS and Related Disorders
POTENTIAL MOLECULAR MULTITARGETS FOR PHARMACOTHERAPEUTICS IN METS AND RELATED DISORDERS
Type 2 Diabetes Mellitus
Obesity & T2DM
Ischemia And Diabetes
Diabetes and Nephropathy
CONCLUSION
REFERENCES
Role of Exercise in Metabolic Syndrome
Abstract
INTRODUCTION
METABOLIC SYNDROME AND EXERCISE
Physical Exercise
Endocrinological and Metabolic Effects of Exercise
Effects of Training
Strength Exercises
The Effect of Exercise on Metabolic Syndrome Components
CONCLUSION
REFERENCES
Chronic Obstructive Pulmonary Disease and Metabolic Syndrome
Abstract
INTRODUCTION
Metabolic Syndrome
Definition
Risk Factors of Metabolic Syndrome
Components of Metabolic Syndrome
Chronic obstructive pulmonary disease (COPD)
Definition
Taxonomy
Risk factors
COPD AND COMORBIDITIES
Major Pulmonary Comorbidities
Major Extrapulmonary Comorbidities
Ischemic Heart Disease
Heart Failure
Hypertension
II- Metabolic disorders
Conclusion
REFERENCES
Current Perspectives on Metabolic Syndrome and Cancer
Abstract
INTRODUCTION
METABOLIC SYNDROME AND CANCER
Obesity and Cancer
Dyslipidemia and Cancer
Diabetes and Cancer
Hypertension and Cancer
PATHOPHYSIOLOGICAL BASIS OF METABOLIC SYNDROME AND CANCER
MECHANISMS INCREASING CANCER RISK
Hyperinsulinemia and Hyperglycemia
Role of Insulin and IGF 1
Estrogen Signaling
Role of Hormones and Proinflammatory Cytokines
Visceral Adiposity
Leptin
Adiponectin
Inflammatory Factors
IL-6
TNF- α
CRP
Transcription Factors
NF-kB
HIF-1α
PPARs
Other Factors
COX 2
MIF
TYPES OF CANCERS LINKED
Colon Cancer
Breast Cancer
Prostate Cancer
CLINICAL IMPLICATIONS
CONCLUSION
REFERENCES
Otorhinolaryngology and Metabolic Syndrome
Abstract
Introduction
Understanding Metabolic Syndrome
Sleep Apnoea: A Disruptive Sleep Disorder
The Bidirectional Relationship
OSA Contributes to Metabolic Syndrome
Metabolic Syndrome Worsens Sleep Apnoea
Common Ground: Obesity
The Role of Obesity
Diagnostic Challenges
Diagnostic Tests
Treatment Approaches
Lifestyle Modifications
2. Continuous Positive Airway Pressure (CPAP)
3. Pharmacotherapy
Surgical Interventions
Conclusion
References
Microbiota and Metabolic Syndrome
Abstract
INTRODUCTION
GUT MICROBIOTA
GutM Composition and Diversity
Functions of GutM in Host Metabolism
Digestion and Fermentation
Nutrient Absorption
Immune System Regulation
Vitamin and Nutrient Synthesis
Metabolism of Bile Acids
Intestinal Barrier Function
Neurological Effects
Metabolic Health
Factors Affecting GutM Composition
Diet
Genetic Factors
Birth and Breastfeeding
Age
Antibiotics and Drugs
Gender
Geography and Environmental Factors
Depression and Lifestyle
Microbiota and Metabolic Syndrome
Relationship between GutM and MetS
GutM Dysbiosis and MetS
Inflammation
Regulation of Energy Homeostasis
Barrier Dysfunction
Hormonal Regulation
Microbial Metabolites
SOME MECHANISMS THAT ASSOCIATE GUTM WITH METS
The Relationship between GutM and Obesity
Role of the Microbiota in the Regulation of Energy Harvest from the Diet
Gut-Brain Axis in Obesity and MetS
GutM's Insulin Resistance and Glucose Metabolism
Microbiota-mediated iNsulin Resistance Mechanisms
Intestinal-Kidney Axis of GutM in Hypertension and Metabolic Syndrome
Inflammation and Immune Activation
Hormonal and Metabolic Signaling
Endotoxemia
GutM and Dyslipidemia
Microbial modulation of Lipid Metabolism
Effect of Immune System and Inflammation on MetS
Effect of Antibiotic Use on GutM and MetS
THERAPEUTIC STRATEGIES TARGETING MICROBIOTA IN METABOLIC SYNDROME
Fecal Microbiota Transplant (FMT) as a Potential Treatment
Dietary Interventions for Gut Microbiota Modulation
Future perspectives and Impacts on GutM Research
Challenges and Opportunities in GutM Research
Challenges in GutM Research
Opportunities in GutM research
CONCLUSION
REFERENCES
The Role of Bariatric and Metabolic Surgery in the Management of Metabolic Syndrome
Abstract
INTRODUCTION
Metabolic Syndrome
Definition
Prevalence of Metabolic Syndrome
Etiopathogenesis of Metabolic Syndrome
Diagnosis of Metabolic Syndrome
Components of Metabolic Syndrome
Insulin Resistance
Hypertension
Dyslipidemia
Obesity
Other Components
Treatment of Metabolic Syndrome
Conclusion
References
Pathophysiological Mechanisms in Obstructive Sleep Apnea Syndrome
Abstract
INTRODUCTION
CONCLUSION
REFERENCES
Evaluation of Metabolic Parameters in Cushing's Syndrome
Abstract
INTRODUCTION
METABOLIC SYNDROME (MetS)
CUSHING’S SYNDROME
Etiology
Clinical features of Cushing's syndrome
DIAGNOSTIC PROCEDURES
Imaging Methods
Determination of Salivary Cortisol
Urine Cortisol Determination
Dexamethasone Suppression Tests (DST)
Adrenocorticotropic Hormone (ACTH)
Inferior Petrosal Sinus Sampling (IPSS)
Metabolic Effects of Cushing's Syndrome
Cardiometabolic Complications in Cushing's Syndrome
Impact on Lipid Profile
Impact on Systemic Hypertension
Impact on metabolic syndrome and abdominal obesity
CONCLUSION
References
Non-Alcoholic Fatty Liver Disease as a Cause and Consequence of Metabolic Syndrome
Abstract
INTRODUCTION
Pathogenesis
NAFLD-> MAFLD
Treatment
Medical Treatment
CONCLUSION
References
Metabolic Syndrome and COVID-19
Abstract
INTRODUCTION
METABOLIC SYNDROME AND ITS COMPONENTS
RELATIONSHIP BETWEEN COVID-19 AND COMORBID DISEASE
Diabetes Mellitus (DM) and COVID-19
Obesity and COVID-19
Hypertension and COVID-19
Cardiovascular Diseases (CVD) and COVID-19
Lymphadenopathy and Infectious Disease
LONG COVID SYNDROME
CLINICAL IMPLICATIONS
CONCLUSION
REFERENCES
Metabolic Syndrome In Thyroid Disease
Abstract
INTRODUCTION
THYROID HORMONE SYNTHESIS AND THE PHYSIOLOGICAL EFFECTS OF THYROID HORMONES
METABOLIC SYNDROME
THYROID HORMONES AND METABOLIC SYNDROME
Thyroid Hormones and Obesity
Thyroid Hormones and Hyperlipidemia
Thyroid Hormones and High Blood Pressure
Thyroid Hormones, Glucose Metabolism, and Insulin Resistance
Thyroid Hormones and Non-alcoholic Fatty Liver Disease
CONCLUSION
REFERENCES
Metabolic Syndrome and Polycystic Ovary Syndrome
Abstract
INTRODUCTION
Polycystic Ovary Syndrome (PCOS)
Obesity and PCOS
Insulin Resistance and PCOS
Dyslipidemia and PCOS
Nonalcoholic Fatty Liver Disease and PCOS
Conclusion
References
Metabolic Syndrome: A Comprehensive Update with New Insights
Edited by
Hafize Uzun
&
Seyma Dumur
Department of Medical Biochemistry
Istanbul Atlas University
Faculty of Medicine
Istanbul
Turkey

BENTHAM SCIENCE PUBLISHERS LTD.

End User License Agreement (for non-institutional, personal use)

This is an agreement between you and Bentham Science Publishers Ltd. Please read this License Agreement carefully before using the ebook/echapter/ejournal (“Work”). Your use of the Work constitutes your agreement to the terms and conditions set forth in this License Agreement. If you do not agree to these terms and conditions then you should not use the Work.

Bentham Science Publishers agrees to grant you a non-exclusive, non-transferable limited license to use the Work subject to and in accordance with the following terms and conditions. This License Agreement is for non-library, personal use only. For a library / institutional / multi user license in respect of the Work, please contact: [email protected].

Usage Rules:

All rights reserved: The Work is the subject of copyright and Bentham Science Publishers either owns the Work (and the copyright in it) or is licensed to distribute the Work. You shall not copy, reproduce, modify, remove, delete, augment, add to, publish, transmit, sell, resell, create derivative works from, or in any way exploit the Work or make the Work available for others to do any of the same, in any form or by any means, in whole or in part, in each case without the prior written permission of Bentham Science Publishers, unless stated otherwise in this License Agreement.You may download a copy of the Work on one occasion to one personal computer (including tablet, laptop, desktop, or other such devices). You may make one back-up copy of the Work to avoid losing it.The unauthorised use or distribution of copyrighted or other proprietary content is illegal and could subject you to liability for substantial money damages. You will be liable for any damage resulting from your misuse of the Work or any violation of this License Agreement, including any infringement by you of copyrights or proprietary rights.

Disclaimer:

Bentham Science Publishers does not guarantee that the information in the Work is error-free, or warrant that it will meet your requirements or that access to the Work will be uninterrupted or error-free. The Work is provided "as is" without warranty of any kind, either express or implied or statutory, including, without limitation, implied warranties of merchantability and fitness for a particular purpose. The entire risk as to the results and performance of the Work is assumed by you. No responsibility is assumed by Bentham Science Publishers, its staff, editors and/or authors for any injury and/or damage to persons or property as a matter of products liability, negligence or otherwise, or from any use or operation of any methods, products instruction, advertisements or ideas contained in the Work.

Limitation of Liability:

In no event will Bentham Science Publishers, its staff, editors and/or authors, be liable for any damages, including, without limitation, special, incidental and/or consequential damages and/or damages for lost data and/or profits arising out of (whether directly or indirectly) the use or inability to use the Work. The entire liability of Bentham Science Publishers shall be limited to the amount actually paid by you for the Work.

General:

Any dispute or claim arising out of or in connection with this License Agreement or the Work (including non-contractual disputes or claims) will be governed by and construed in accordance with the laws of Singapore. Each party agrees that the courts of the state of Singapore shall have exclusive jurisdiction to settle any dispute or claim arising out of or in connection with this License Agreement or the Work (including non-contractual disputes or claims).Your rights under this License Agreement will automatically terminate without notice and without the need for a court order if at any point you breach any terms of this License Agreement. In no event will any delay or failure by Bentham Science Publishers in enforcing your compliance with this License Agreement constitute a waiver of any of its rights.You acknowledge that you have read this License Agreement, and agree to be bound by its terms and conditions. To the extent that any other terms and conditions presented on any website of Bentham Science Publishers conflict with, or are inconsistent with, the terms and conditions set out in this License Agreement, you acknowledge that the terms and conditions set out in this License Agreement shall prevail.

Bentham Science Publishers Pte. Ltd. 80 Robinson Road #02-00 Singapore 068898 Singapore Email: [email protected]

FOREWORD

Metabolic syndrome is an intricate condition characterized by a set of risk factors, including hyperglycemia, insulin resistance, hypertension, and obesity, which significantly elevate the risk of cardiovascular disease, stroke, and type 2 diabetes. Its growing prevalence worldwide poses a significant challenge to public health, necessitating a thorough understanding and innovative strategies for management. This book offers an in-depth exploration of metabolic syndrome, shielding a range of issues from functional changes and novel diagnostic methods to the interplay between metabolic syndrome and other health conditions like cancer, gastrointestinal disorders, and COVID-19. This complete text, featuring chapters on cutting-edge research and practical diagnosing and management strategies, is a valuable resource for healthcare professionals, researchers, and policymakers dedicated to addressing the multifaceted challenges of this syndrome.

Era Gorica Department of Cardiology Center for Translational and Experimental Cardiology (CTEC) University Hospital Zürich, Wagistrasse 12, 8952 Schlieren Switzerland

PREFACE

Nowadays, metabolic syndrome (MetS) is a major health problem worldwide. MetS is characterized by high blood pressure, obesity, insulin resistance, and diabetes mellitus. Of these factors, insulin resistance is the main cause of MetS. It is very important for patients with MetS to change their lifestyle. Exercise, changes in dietary habits, and weight loss are necessary in the treatment of patients with MetS. As discussed in the light of current information about MetS in Chapter 13, exercise plays a very crucial role in controlling insulin activity, reducing the risk of cardiovascular disease, and maintaining weight control and Chapter 11 (Neutrogenomic strategies in metabolic syndrome) provides an update on our current understanding of the impact of neutrogenomic strategies on MetS. In the last few decades, many studies on the genetic and epigenetic screening of MetS in various populations have been published in the literature. The role of genetic and epigenetic mechanisms is discussed in Chapter 9.

Another important aspect is that MetS has been associated with psychiatric disorders. In those diagnosed with major depressive disorder and bipolar disorder in adulthood, the disruption of biological rhythms (sleep, social activities, and eating habits) has been associated with key components of MetS. MetS and its components have also been linked to a higher risk of suicide. It is clear that the relationship between behavior and MetS is bidirectional and that each component can influence the other. Awareness of factors related to MetS can help identify high-risk individuals and implement disease prevention and control strategies as well as lifestyle modifications. It is discussed in Chapter 10 (The Interplay between Metabolic Syndrome and Behavior) that lifestyle modification can help improve MetS status and behavior.

If patients with MetS fail to be treated with lifestyle changes, they should use certain medications. First, insulin resistance needs to be treated. Metformin, thiazolidinediones or glitazones should be used to treat insulin resistance and diabetes mellitus. Secondly, dyslipidemia and obesity need to be treated with statins and fibrates. Treatment of components of the MetS, such as cardiovascular disease, hypertension, and polycystic ovary syndrome, is often associated with the treatment of insulin resistance, obesity, and dyslipidemia. The MetS should be treated early because delayed treatment is ineffective and very expensive. In MetS and related diseases, rationalized and evidence-based pharmacotherapeutic strategies are cornerstones in reducing polypharmacy. The pharmacology network approach and advanced bioinformatics tools related to epigenetics, genomics, transcriptomics, proteomics, and metabolomics are recognized as useful bench-top tools for the search for molecular preventive and therapeutic multiple targets. Molecular multi-target therapy is recognized as a new pharmacological strategy underpinning personalized and precision medicine. This in turn will reduce socioeconomic burdens and improve health-related quality of life. In this context, Chapter 12 discusses perspectives on personalized medicine using a pharmacology network approach.

MetS is a cluster leading to increased cardiovascular morbidity and mortality as well as increased predisposition to other non-communicable diseases such as certain cancers. Although individual components of MetS have been linked to cancer, studies demonstrating a direct link between MetS and cancer are limited. Understanding this link will shed light on the process of oncogenesis in patients with MetS. Chapter 15 addresses the need to summarize the associated factors and mechanisms linking these two pathologies and to identify potential targets for treatment in patients with cancer and MetS. Furthermore, Chapter 15 focuses on the biological and physiological changes and specific factors associated with this process, including the insulin-like growth factor (IGF-1) pathway, estrogen signaling, visceral adiposity, hyperinsulinemia, hyperglycemia, aromatase activity, adipokinase production, angiogenesis, oxidative stress, DNA damage and pro-inflammatory cytokines, and their clinical implications in cancer therapy. A better understanding of this link will provide greater insight into the management of cancer patients by preventing MetS and related changes.

We would like to sincerely thank our team of authors from different countries who contributed excellent chapters that made the compilation of this book possible.

Hafize Uzun &Seyma Dumur Department of Medical Biochemistry Istanbul Atlas University Faculty of Medicine Istanbul Turkey

List of Contributors

Abdulhalim SenyigitDepartment of Internal Medicine, Faculty of Medicine, Istanbul Atlas University, Istanbul, TurkeyAhmed Saber ShamsHuman Anatomy and Embryology Department, Faculty of Medicine, Suez Canal University, Ismailia, EgyptAsli KutluDepartment of Molecular Biology and Genetics, Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, TurkiyeAsmaa SeddekDepartment of Medical Physiology, Faculty of Medicine, Suez Canal University, Ismailia, EgyptBerrin PapilaIstanbul University-Cerrahpasa, Cerrahpasa Medical Faculty, Istanbul, TurkeyDahlia BadranMedical Biochemistry & Molecular Biology department, Medicine faculty, Suez Canal University, Egypt Medical Biochemistry & Molecular Biology department, Medicine faculty, Badr University in Cairo, EgyptDina A AliClinical pharmacology Department, Faculty of Medicine, Suez Canal University, Ismailia, 41522, EgyptDemet AygunDepartment of Neurology, Medicine Faculty, Istanbul Atlas University, Istanbul, TurkeyDerya Aydın SivriDepartment of Obstetrics and Gynecology, Faculty of Medicine, Istanbul Atlas University, İstanbul, TurkeyEsra Bihter GürlerDepartment of Physiology, Faculty of Dentistry, İstanbul Galata University, İstanbul, TurkeyEman Mamdouh KoliebPhysiology Department, Faculty of Medicine, Suez Canal University, Ismailia, 41522, EgyptEsma AltinogluDepartment of Internal Medicine, School of Medicine, Bahcesehir University, Istanbul, TurkeyFatma S. SammanDepartment of Clinical Pharmacology, Faculty of Medicine, Suez Canal University, 41522 Ismailia, EgyptFatma Köksal Çakırlarstanbul University-Cerrahpasa, Cerrahpasa medicine Faculty, Istanbul, TurkeyHülya Çevik ARASDepartment of Oral Medicine and Pathology, University of Gothenburg, Göteborg, SwedenHurriyet CetinokIstanbul Atlas University, Istanbul, TurkeyHalit Eren TaşkınDepartment of General Surgery, Istanbul University-Cerrahpasa Cerrahpasa Medical Faculty, 34098, Istanbul, Fatih, TurkeyHafize UzunDepartment of Medical Biochemistry, Faculty of Medicine, Istanbul Atlas University, Istanbul, TurkeyIskender EkinciDepartment of Internal Medicine, Faculty of Medicine, Bezmialem Vakıf University, Istanbul, TurkeyMarwa Mohamed HosnyMedical Biochemistry and Molecular Biology Department, Faculty of Medicine, Suez Canal University, Ismailia, Egypt Oncology Diagnostic Unit, Faculty of Medicine, Suez Canal University, Ismailia, EgyptMohamed Salah RashwanDepartment of Otolaryngology, Faculty of Medicine, Suez Canal University, Ismailia, Egypt Department of Otolaryngology, Queen’s Hospital, Barking, Havering and Redbridge University Hospitals NHS Trust, Romford, UKNagihan BostanciDepartment of Dental Medicine, Karolinska Institutet, Stockholm, SwedenNora HosnyMedical Biochemistry and Molecular Biology Department, Faculty of Medicine, Suez Canal University, Ismailia, EgyptNoura Ramadan Abdel-hamidDepartment of Histology and Cell Biology, Faculty of Medicine, Suez Canal University, Ismailia, 41522, EgyptNaile MisirliogluDepartment of Biochemistry, Gaziosmanpaşa Training and Research Hospital, University of Health Sciences, Istanbul, TurkeyNeval ElgörmüşDepartment of Microbiology, Faculty of Medicine, Istanbul Atlas University, Istanbul, TurkeyOmer OkuyanIstanbul Atlas University, Istanbul, TurkeyPelin UysalDepartment of Pulmonary Medicine, Faculty of Medicine, Istanbul Atlas University, Istanbul, TurkeyRavindri JayasingheDepartment of Surgery, Faculty of Medicine, University of Colombo, Colombo, Sri LankaSinem FirtinaDepartment of Medical Genetics, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, TurkiyeShimaa Mohammad YousofDepartment of Medical Physiology, Faculty of Medicine in Rabigh, King Abdulaziz University, Rabigh, Saudi ArabiaSamah M. ElaidyDepartment of Clinical Pharmacology, Faculty of Medicine, Suez Canal University, 41522 Ismailia, EgyptSamar ImbabyDepartment of Clinical Pharmacology, Faculty of Medicine, Suez Canal University, 41522 Ismailia, EgyptSeyma DumurDepartment of Medical Biochemistry, Faculty of Medicine, Istanbul Atlas University, Istanbul, TurkeySanjeewa SeneviratneDepartment of Surgery, Faculty of Medicine, University of Colombo, Colombo, Sri LankaUmesh JayarajahDepartment of Surgery, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka

General Aspects of Metabolic Syndrome: An Update on Diagnostic Criteria, Pathophysiology, and Management

Abdulhalim Senyigit1,*
1 Department of Internal Medicine, Faculty of Medicine, Istanbul Atlas University, Istanbul, Turkey

Abstract

Metabolic syndrome (MetS) is generally defined as a cluster/complex of factors that are risk factors for cardiovascular disease (CVD) and type 2 diabetes (T2DM), including hyperglycemia, insulin resistance, hypertension, hypertriglyceridemia, decreased HDL-cholesterol concentration and central obesity. MetS is a health problem whose prevalence is increasing worldwide and negatively affects people's lives. Although MetS is essentially insulin resistance (IR), is not considered a disease, it consists of a combination of many risk factors that force the body metabolism to work abnormally. In addition to factors such as sedentary lifestyle and nutrition, hereditary factors are also important in the formation of MetS. The main components of MetS can be listed as hyperglycemia, hypertension, obesity and dyslipidemia. MetS has different definitions for different organizations. The basic components of these definitions are waist circumference, IR, high blood pressure and dyslipidemia (high triglyceride, low HDL cholesterol). The most recently agreed upon diagnostic criteria for MetS are increased waist circumference (society and country specific), high triglycerides, low HDL cholesterol, high blood pressure and high fasting blood glucose. For diagnosis, the presence of at least 3 of these parameters is required. When countries are examined in terms of the prevalence of MetS, different results are obtained from each country. The most important factor affecting the incidence of MetS in a country is the percentage of obesity and abdominal obesity in that country. Although obesity and physical activity factors have an impact on the incidence of MetS, it is an undeniable fact that genetic factors also have a significant impact. Lifestyle changes are at the core of MetS treatment. People with this syndrome need to change their diet, increase their physical activity and lose weight. Determining MetS risk levels and predisposing risk factors, determining whether they meet diagnostic criteria, and raising awareness through education and consultancy activities will be effective in combating the prevalence of MetS and cardiovascular risk factors.

Keywords: Diagnostic criteria, Metabolic syndrome, Management, Pathophysiology.
*Corresponding author Abdulhalim Senyigit: Department of Internal Medicine, Faculty of Medicine, Istanbul Atlas University, Istanbul, Turkey; E-mail: [email protected]

INTRODUCTION

Metabolic syndrome (MetS) is generally defined as a cluster/complex of factors, such as hyperglycaemia, insulin resistance (IR), hypertension (HT), hypertriglyceridemia, decreased HDL-cholesterol concentration and central obesity, which are risk factors for cardiovascular disease (CVD) and type 2 diabetes (T2DM) [1]. The association of MetS risk factors with T2DM and CVD began to be discussed in the 1970s and was first defined by Reaven in 1988 as a syndrome of metabolic abnormalities and named Syndrome X [2]. For the first time in 1988, Reaven defined “Syndrome X” as this complex disease in which various metabolic abnormalities (HT, hyperglycaemia, and hyperuricemia) coexist [1, 2]. MetS is also described by different terms such as IR syndrome, polymetabolic syndrome, deadly quartet, and civilisation syndrome [3]. MetS has also been given various names such as metabolic cardiovascular syndrome, dysmetabolic syndrome, plurimetabolic syndrome, and cardiometabolic risk syndrome. MetS is a major cause of morbidity, affecting an increasing number of people worldwide [4-6]. It is estimated that 3.2 million people die each year worldwide due to diabetes-related complications, and in countries with a high incidence of diabetes, such as the Pacific and the Middle East, diabetes accounts for a quarter of all causes of death in adults aged 35-64 years. CVD and its complications, a major component of the MetS, are also on the rise and have a major impact on global health systems. The estimated incidence of diabetes is projected to double by 2025 and cardiovascular diseases are expected to increase in parallel [7].

The National Cholesterol Education Program Adult Treatment Panel Working Group (NCEP-ATP III) introduced a new definition in 2001 and added abdominal obesity and waist circumference to the definition [8]. Today, the definition of MetS is widely used by various authorities such as the World Health Organization (WHO), American Heart Association (AHA), International Diabetes Federation (IDF), National Heart, Lung and Blood Institute (NHLBI), NCEP-ATP III).

Prevalence of Metabolic Syndrome

The prevalence of MS is steadily increasing worldwide and has recently been identified as one of the major global public health problems. Although the prevalence of MetS varies according to different geographical and ethnic characteristics of societies (lifestyle), definitions used, population age and gender characteristics, it is considered a pandemic in the adult population in many countries. When countries are analysed in terms of the prevalence of MetS, different results are obtained from each country. The most important factor affecting the prevalence of MetS in a country is the percentage of obesity and abdominal obesity in that country. Although obesity and physical activity have an effect on the incidence of MetS, it is an undeniable fact that genetic factors also have an important effect. Prevalence is reported to increase with body mass index (BMI) and age. According to the National Health and Nutrition Examination Survey (NHANES), the prevalence of MetS was 34-35% in the period 1999-2012, and this rate was found to be 50% over the age of 60 years [9]. About a quarter of adults in the US, India and Europe have MetS [10]. It has been reported that the risk of death is 2 times higher and the risk of major cardiovascular events is 3-5 times higher in individuals with MetS. It is also reported that the risk of developing T2DM is 2-5 times higher in these individuals and that more than 80% of the world's 230 million people with T2DM are at risk of CVD-related death [8-10]. There is also an increased risk of other preventable chronic diseases such as cancer, neurodegenerative diseases, non-alcoholic fatty liver disease, circulatory disorders, dyslipidemia, and infertility [9].

The prevalence of MetS increases with age and is difficult to prevent as the ageing population expands [11]. Studies indicate that by 2050, approximately 83.7 million people in the US will be over 65 years of age, double the 2012 population of 43.1 million [12]. Although there is no consensus on age and gender studies in MetS, in 2023 Rus et al. [13] reported that both genders displayed a higher risk of developing MetS related to age. The most affected age groups were aged between 60-69 years old and the 70-79-year-old group, categories where women had a higher risk of developing the disease. For the rest of the age categories, the incidence and prevalence continued to be higher among men [13].

The MetS global prevalence varied from 12.5% to 31.4% depending on the diagnostic criteria in the meta-analysis prevalence of MetS. Despite the publication of numerous primary studies on MetS in various populations across the globe, little effort has been dedicated to summarizing data on the epidemiology of MetS at the global level. In this study, we aimed to determine the prevalence rates of MetS and its individual components according to different diagnostic criteria and cutoffs and to compare these rates across geographic regions and socioeconomic levels [14].

Significance of Metabolic Syndrome

MS is an important public health problem seen in the adult population worldwide [15]. It is a risk factor for cardiovascular diseases and T2DM. MetS is associated with CVDs and increases the risk of cardiovascular morbidity 3-fold, mortality 2-fold, and type 2 diabetes 5-fold [16]. The onset of MetS in children is a result of the increase in the prevalence of obesity and is defined as a comorbid condition [17, 18]. It has been reported that obesity and overweight in young people play an important role in MetS. MetS seen in children increases the risk of early death due to coronary heart disease in adults. It has been reported that atherosclerosis seen at an early age is associated with MetS and obesity seen in childhood [19]. With the spread of obesity, it is predicted that 10% of school children are obese and 60% of obese children older than 10 years will become obese adults [20].

The high correlation between obesity and T2DM has changed the approach to childhood obesity. Insulin resistance has been detected in some obese children and adolescents. Some of these children will develop MetS and T2DM, while others will not. However, it is reported that 60% of obese children and adolescents have at least one cardiovascular risk factor [21].

There is no consensus between the WHO and the National Cholesterol Education Program regarding the diagnosis of MetS in children. Accurate diagnosis in children is important for reducing or preventing the high morbidity related to chronic diseases seen in young adults [21].

Pathogenesis of Metabolic Syndrome

The pathophysiology of MetS involves many complex mechanisms that have not yet been fully clarified. No single genetic, infectious, or environmental factor has yet been identified to explain the etiopathogenesis of all components of the MetS. However, the etiology of MetS can be divided into three categories: Obesity/adipose tissue disorders, insulin resistance, and independent factors (such as molecules of vascular, hepatic, and immunologic origin). Although MetS is thought to develop as a result of a complex relationship between many environmental and genetic factors, the latest data suggest that obesity and insulin resistance are at the center of the development of the syndrome and play a key role in the development of chronic inflammatory and prothrombotic processes that accompany the syndrome.

Since insulin resistance is thought to be the main culprit in the development of the syndrome, subsequent studies have focused on revealing the common relationship between insulin resistance, obesity, and CVD development. As a result of these studies, it has been agreed that insulin resistance is insufficient as the only etiopathogenetic factor to explain the clustering of CVD risk factors in an individual - in this sense, the development of MetS - but it is the main underlying mechanism [1, 22-24].

Diagnostic Criteria of Metabolic Syndrome

Since 1998, many definitions have been made for MetS by many expert groups, and organizations, including WHO, have tried to improve these definitions [25, 26]. The definitions made by WHO in 1999, the European Group for the Study of Insulin Resistance (EGIR) in 1999, the American Association of Clinical Endocrinology (AACE) in 2003, NCEP-ATP III in 2001-2005, and IDF in 2005 are guiding in diagnosis and treatment. The most widely accepted definitions are those made by WHO, EGIR, and NCEP-ATP III [8].

According to the 2022 definition of MetS, considering the progress in understanding individual components of MetS and the most current guidance on the management of each individual condition, the authors propose that the definition of MetS encompasses the presence of obesity and two of the three following criteria: high blood pressure, impaired glucose metabolism, elevated non-high-density lipoprotein (non-HDL) cholesterol level (atherogenic dyslipidemia) [27]. The comparison of MetS diagnostic criteria between organizations is presented in Table 1.

Table 1Diagnostic criteria of metabolic syndrome elucidated by different organizations [33].CriteriaOrganizationsCentral ObesityFBS↑ TG↓ HDL↑ BPOtherDiagnosed asMetS, IfWHO (1998) [28]Waist/hip ratio Male >0.90 cmFemale >0.85 or BMI > 30 kg/m2≥110 mg/dL or IR or T2DM or Rx≥150 mg/dLMale <40 mg/dLFemale <50 mg/dLDiastolic ≥ 140 and Systolic ≥ 90 mmHgMicroalbuminuriaAbsolutely required IR plus ≥ 2 criteriaEGIR (1999) [30](WCMale ≥94 cmFemale ≥80 cm≥108.11 mg/dL≥150 mg/dL<39 mg/dLDiastolic ≥ 140 and/or Systolic ≥ 90 mmHg or Rx-Absolutely required IR plus ≥ 2 criteriaIDF (2005) [29]WC defined in terms of ethnicity specific values≥100 mg/dL or Rx≥150 mg/dL or RxMale: <40 mg/dL Female: <50 mg/dLDiastolic ≥ 130 and/or systolic ≥ 85 mmHg or Rx-Absolutely required central obesity plus ≥ 2 criteriaAHA/NHLBI (2005) [31]WC Male: ≥102 cm Female: ≥88 cm≥100 mg/dL or Rx≥150 mg/dL or RxMale: <40 mg/dL Female: <50 mg/dLDiastolic ≥ 130 and/or systolic ≥ 85 mmHg or Rx-≥3 criteriaAHA/NHLBI and IDF:2009 [32]WC defined in terms of population- and country-based specific definition≥100 mg/dL or Rx≥150 mg/dL or RxMale: <40 mg/dL Female: <50 mg/dLDiastolic ≥ 130 and/or systolic ≥ 85 mmHg or Rx-≥3 criteria
FBS, Fasting blood sugar; WHO, World health organization; Rx, on medication; EGIR, Europe Group for the Study of IR; IDF, International Diabetes Federation; IR, insulin resistance; WC, waist circumference; AHA American Heart Association; NHLBI, National Heart, Lung, and Blood Institute.

According to the WHO's 1998 Diagnostic Criteria for Metabolic Syndrome [28]

√ Having at least one of the diagnoses of insulin resistance, impaired glucose tolerance, and obvious diabetes mellitus.

√ High blood pressure (blood pressure above 140/90 mmHg or taking antihypertensive medication).

√ Abdominal obesity (Body Mass Index (BMI) over 30 kg/m2 or waist/hip ratio greater than 0.90 cm in men and greater than 0.85 cm in women).

√ Dyslipidemia (Triglyceride (TG) level above 150 mg/dL or High-Density Lipoprotein (HDL) level less than 40 mg/dL in men and less than 50 mg/dL in women).

√ Microalbuminuria (urinary albumin excretion more than 20 μg/min or albumin/creatinine ratio more than 30 mg/g) in combination with at least two of the findings.

According to the Diagnostic Criteria of NCEP-ATP III [8]

NCEP-ATP III is one of the most widely used definitions of MetS criteria in the world.

√ Abdominal obesity (waist circumference: >102 cm in men, >88 cm in women).

√ Hypertriglyceridemia (≥150 mg/dL).

√ Low HDL cholesterol (<40 mg/dL in men, <50 mg/dL in women).

√ Hypertension (blood pressure ≥ 130/85 mmHg).

√ Presence of at least three of the findings of hyperglycemia (fasting blood glucose > 100 mg/dL) makes the diagnosis of MetS.

According to the IDF's 2005 Diagnostic Criteria for MetS [29]

√ Abdominal obesity (waist circumference of 94 cm and above in European men and 80 cm and above in women).

√ TG level≥150 mg/dL.

√ HDL level <40 mg/dL in men and <50 mg/dL in women.

√ Blood pressure≥130/85 mmHg.

√ A fasting blood glucose level of ≥100 mg/dL indicates the diagnosis of MetS.

Any patient diagnosed with MetS should at least be seen as a high cardiovascular-risk patient. A comprehensive assessment of the main and additional conditions of the MetS is advised, as well as implementing lifestyle modifications alongside appropriate medical treatment. Early intervention can prevent the development or slow the progression of individual components of the MetS [27].

Risk Factors of Metabolic Syndrome

Although there is no consensus on the definition and diagnostic criteria of the syndrome, MetS is characterized by the coexistence of risk factors such as abdominal obesity, atherogenic dyslipidemia, high blood pressure, insulin resistance and high glucose levels [34] (Fig. 1). Among these criteria, obesity is among the controllable risk factors as it is generally associated with excess calorie intake and insufficient physical activity [35].

There is currently significant research focusing on understanding the key pathways that control metabolism, which would be likely targets of risk factors (e.g, exposure to xenobiotics, genetics) and lifestyle factors (e.g, microbiome, nutrition, and exercise) that contribute to MetS [36]. In addition to genetic predisposition, environmental factors such as obesity, fat metabolism, high calorie intake, diet rich in cholesterol and atherogenic foods and low physical activity, aging and hormonal imbalances are separate risk factors affecting the development and progression of the syndrome. MetS is an important risk factor for CVD and T2DM and hepatosteatosis, steatohepatitis, and cirrhosis may develop in the same time period in patients with MetS. The frequency of MetS and its complications increases in proportion to the increase in the frequency of obesity in children and adolescents [24]. Cardiovascular risk factors associated with insulin resistance have been summarized in Table 2 [36].

Fig. (1)) Risk factors of metabolic syndrome.
Table 2Cardiovascular risk factors associated with insulin resistance.• High Blood Pressure. • High fibrinogen level. • Hyperinsulinemia. • High PAI-1 level. • Low HDL-C. • Elevated CRP and other markers of inflammation. • High triglyceride level. • Increased blood viscosity. • Small, dense LDL particles. • Microalbuminuria. • High Apo B. • Hyperglycemia. • Endothelial dysfunction. • Low Apo A-1 levels.
Apo, apolipoprotein; PAI-1, plasminogen activator inhibitor-1; CRP, C-reactive protein.

Instead of listing the causes of MetS one by one, it is more accurate to define all problems that increase the risk of heart attack as part of MetS.

COMPONENTS OF METABOLIC SYNDROME

The main components of MetS are obesity, insulin resistance, T2DM, hypertension, dyslipidemia, and and prothrombotic state.

Metabolic Syndrome and Obesity

Abdominal obesity is the most frequently occurring component of the MetS. The most important triggering factor in the development of insulin resistance is also abdominal obesity. Although obesity is caused by the intake of more food than the metabolism needs, it is estimated that obese people consume more energy than they need in addition to their sedentary life [27, 37].

The most important factor in the development of insulin resistance is abdominal obesity, which may not be present in every case of MetS [38] (Fig. 2). Adipose tissue plays an active role in inflammation through hormones such as resistin, leptin, adiponectin and cytokines such as TNF-α, IL-6, IL-1 [39, 40]. Waist circumference measurement, which is an indicator of visceral adiposity, is used in the evaluation of MetS, and it is recommended to measure at the midpoint of the distance between the arcus costarium and spina iliaca anterior superior of the pelvis. for this measurement. The cut-off values for waist circumference defined by the WHO for the white race in overweight and obese people are 94 cm in overweight and 102 cm in obesity in men; 80 cm in overweight and 88 cm in obesity in women [38].

Fig. (2)) Components of metabolic syndrome.

Free fatty acids (FFAs) formed by lipolysis from adipose tissues in the body increase according to the size of adipocytes. In visceral adipose tissue composed of large adipocytes, cytokine production increases with the intensity of lipolysis, while insulin sensitivity decreases. As a result, the excess in visceral adipose tissue leads to an increase in FFAs and thus insulin resistance [41]. Establishing the link between insulin resistance and obesity was made possible by the determination of the endocrine organ function of adipose tissues, where energy is stored, by adding peptide complement effector and cytokine secretion to the circulatory system [42]. It has been suggested that chronic inflammation is effective in the progression of insulin resistance. In studies, acute phase reactants and proinflammatory cytokines have been linked to MetS variables [43-45]. The inflammatory resilience phenotype of the overfed healthy males moved toward that of males diagnosed with MetS [44].

The IDF has accepted the inclusion of central obesity in the diagnostic criteria (it has been reported that it is unnecessary to measure insulin resistance because central obesity is strongly associated with insulin resistance) and the presence of at least two of the following: high triglycerides, low HDL, high blood pressure and high fasting glucose as the definition of MetS [46, 47]. While criteria for both ATP III and IDF consider central obesity (defined by waist circumference, with ethnicity- and gender-specific cut-off values), the IDF uses central obesity as a prerequisite for diagnosis, while the ATP III considers central obesity as one component out of several that could be present [48].

Studies have shown that individuals with predominant upper body obesity are more prone to MetS and that excess visceral adiposity is strongly associated with MetS [49, 50]. Obesity is known to promote the recruitment of excess fat to various organs or tissues, especially muscle and liver [51, 52]. Recent studies reveal that adipose tissue contributes adipokines that may influence metabolic risk factors [52-54]. These include adiponectin, interleukin-6, tumor necrosis factor alpha (TNF-α) resistin, leptin, angiotensinogen, and plasminogen activator inhibitor-1 [52, 55].

Normally, as fat cells expand, more leptin is released into the brain to signal the end of eating behavior. However, obese individuals can develop leptin resistance, similar to insulin resistance. In these individuals, even high leptin levels are not enough to induce satiety [56, 57]. Weight loss in patients with MetS can lead to improvements in multiple traits simultaneously, so a certain degree of adiposity seems to be necessary to reveal the abnormal pathophysiology. However, there are also patients who are obese but do not show any of the other components of the MetS, so both metabolic susceptibility to insulin resistance and obesity are necessary for the MetS phenotype to be observed [58, 59].

Ectopic adiposity resulting in adipocyte hypertrophy or adipose tissue enlargement and visceral obesity is the most important constituent of MetS. Ectopic adiposity is the accumulation of fat in visceral organs such as the omentum, liver, and muscle, in addition to subcutaneous adipose tissue. Today, visceral obesity, in other words, excessive fat in the intra-abdominal region, is known to increase the prevalence of MetS. It has been reported that there is a positive correlation between waist/hip ratio, which is used as a marker of visceral obesity, and plasma fasting glucose level and systolic-diastolic blood pressure, and that these factors are among the important risk factors for the development of CVD [60, 61]. This explains why obesity is a poorly identifiable CVD risk factor compared to others such as hypertension, smoking, and cholesterol (increased low-density lipoprotein (LDL)/decreased HDL). Although the accumulation of excess visceral fat is associated with various atherogenic and diabetogenic abnormalities, an important question is whether visceral fat is a causal factor or simply a marker of a dysmetabolic profile. Although obesity is not a major risk factor for insulin resistance, T2DM, and CVD, not all obese patients are insulin resistant or at high risk of diabetes and CVD [62].

Metabolic Syndrome and Insulin Resistance

Individuals with MetS have a biological response to endogenous and exogenous insulin, and many factors such as genetic predisposition, nutritional disorders starting in the womb, malnutrition, malnutrition, concomitant obesity, inactivity, sedentary life, decreased body repair capacity with aging can lead to the development of insulin resistance. Although insulin resistance is accompanied by hyperglycemia, it is not always present [63].

Insulin resistance defined as an inadequate response to the required amount of insulin in the circulatory system, is a pathophysiology for the body and can be seen in obese, non-diabetic individuals and individuals with T2DM [64].

One of the hypotheses accepted to explain the pathophysiology of MetS is insulin resistance. MetS is, therefore, also known as insulin resistance syndrome. Insulin resistance is defined as a defect in the action of insulin, which is required to maintain euglycemia leading to hyperinsulinemia. Considering the main tissues targeted by insulin, it appears that insulin resistance in skeletal muscle leads to a reduction in glycogen synthesis and glucose transport, while insulin resistance in the liver leads to a reduction in the efficiency of insulin signaling. The exact mechanisms have not been fully confirmed and research in this area is ongoing [65, 66]. Hyperinsulinemia occurs to counteract this resistance and maintain euglycemia. While insulin resistance is usually associated with hyperinsulinemia, hyperglycemia may not always accompany insulin resistance. Hyperglycemia occurs in advanced stages of insulin resistance [67-69]. Abdominal obesity (visceral adiposity) is thought to be the main cause of insulin resistance. On the other hand, the increase in circulating FFA is thought to play an important role in the pathogenesis of MetS. With abdominal obesity, insulin-stimulated glucose uptake by cells is reduced, the non-esterified fatty acid is abnormally released from adipose tissue, muscle cells, and liver adiposity are formed, and these effects facilitate the development of insulin resistance and dyslipidemia [70, 71]. The increase in circulating FFAs has multiple effects on metabolism; FFAs reduce glucose uptake into muscles. They promote gluconeogenesis and lipogenesis in the liver. Acute skeletal muscle exposure to high FFA levels induces insulin resistance by inhibiting insulin-induced glucose uptake. Chronic exposure of the pancreas to high FFAs impairs pancreatic beta cell function. FFAs are also lipotoxic to pancreatic beta cells and cause impaired insulin secretion. As a result, insulin secretion is reduced [72, 73].

Metabolic Syndrome and Prediabetes

Although the definitions of prediabetes, MetS and insulin resistance syndrome are closely related, they are recognized as separate entities that overlap each other. Different criteria for MetS developed by different groups are still widely used. Among these, the NCEP-ATP III criteria is one of the most widely used [74, 75].

The different definitions, interpretations and diagnostic criteria provided by each organization not only confuse clinicians but are also not similar in terms of determining cardiovascular risk. For example, in a survival analysis, it was found that NCEP diagnostic criteria were more in line with the risk of CVD than IDF diagnostic criteria [76]. In another study, it was shown that IDF diagnostic criteria were more sensitive than ATP III, WHO diagnostic criteria, impaired glucose tolerance, and impaired fasting glucose in predicting future diabetes development, but the false positive rate increased similarly with increasing sensitivity [77]. The fact that metformin treatment of patients with MetS in the diabetes prevention program has been shown to have little effect on the improvement of MetS compared to lifestyle changes is another indirect evidence that prediabetes and MetS are different entities. In conclusion, insulin resistance is a starting point for the presence of both prediabetes and MetS, approximately 75% of prediabetics may be associated with MetS, both insulin resistance, prediabetes and MetS are individually associated with increased cardiovascular risk, and prediabetes determines the future development of diabetes [77]. Accordingly, prediabetes and MetS are intertwined but separate concepts.

Beyond the fact that prediabetes is a condition that must be diagnosed correctly and closely monitored and treated in terms of both its conversion to diabetes and the many health problems it may cause, it is possible to prevent prediabetes by taking precautions to be taken by addressing risky individuals individually in order to prevent the aforementioned health problems from occurring, and today, it has been adopted by guidelines that prevention of prediabetes is the most accurate approach to reduce future health risks and expenditures [78].

Metabolic Syndrome and Diabetes Mellitus

T2DM is becoming one of the most common chronic diseases after cancer and cardiovascular diseases. In recent years, the prevalence of this disease has been increasing significantly worldwide and is becoming one of the major societal social problems in the 21st century [79]. Although not all patients with T2DM have insulin resistance, the presence of overt DM or impaired glucose tolerance fulfills the first step of the diagnostic criteria for MetS and insulin resistance is not required. Insulin resistance increases the risk of atherosclerosis and cardiovascular disease independent of other risk factors [80]. In addition to fasting glucose levels, high postprandial glucose levels are risk factors for insulin resistance, prediabetes and overt diabetes, and this risk is present from the preclinical period [81-83].

DM is a metabolic disease characterized by hyperglycemia due to impaired insulin secretion/effectiveness. Long-term damage, dysfunction and failure of end organs such as kidneys, heart, and eyes may occur as a result of chronic hyperglycemia. Symptoms such as polyuria, polydipsia, polyphagia, nocturia, weight loss, numbness in hands and feet, burning, itching, and dry skin may be observed. Complications such as hyperglycemic hyperosmolar state or ketoacidosis may occur. Fasting plasma glucose, glycosylated hemoglobin A1c (HbA1c), or an oral glucose tolerance test (OGTT) may be used in the diagnosis [84].

Metabolic Syndrome and Hypertension

Hypertension is common in individuals with T2DM, as it is often a component of the MetS. Other components of the MetS, such as central obesity and dyslipidemia (especially an atherogenic lipid profile) and associated oxidative stress, low-grade chronic inflammation, endothelial dysfunction, insulin resistance and hyperinsulinemia, are the most important underlying causes of hypertension in T2DM. Hypertension is one of the most influential components of MetS and is the sole risk factor for CVD. The strongest hypothesis about the causes of HT in MetS is the hyperinsulinemia-induced increase in sodium reabsorption. Although HT individuals do not have obesity, IR has been found to be present [85, 86]. Although insulin resistance is frequently found in the background of HT, insulin resistance is not only involved here but also in other vascular diseases. There may be an increase in sympathetic system activation and renal sodium retention through mediators such as nitric oxide (NO) [85]. There is a connection between hypertension, insulin resistance, hyperglycemia, and hyperinsulinemia [87].

High blood pressure is often associated with other CVD risk factors, including dyslipidemia and insulin resistance. Insulin resistance is one of the underlying causes of hypertension in individuals. The relationship between insulin resistance and hypertension is well known [88, 89]. Various mechanisms have been proposed to establish the relationship between hypertension and insulin resistance [88, 90]. For example, insulin is a vasodilator that has secondary effects in increasing sodium reabsorption by the kidney and can lead to hypertension. Insulin has a vasodilator effect, but in the case of insulin resistance, its vasodilator effect is reduced, while its effect on sodium reabsorption remains unchanged. Hyperinsulinemia activates the renin-angiotensin system (RAS) by increasing the expression of angiotensinogen, angiotensin II (AT-II), and angiotensin I (AT-I) receptors, which contribute to the development of vasoconstriction and hypertension [88, 91].

Metabolic Syndrome and Dyslipidemia (Hyperlipidemia)

Dyslipidemia is defined as raised triglycerides and decreased high-density lipoprotein (HDL) cholesterol levels. Dyslipidemia in MetS is characterized by high triglyceride values and is a common component in various diagnostic criteria made by international organizations [92, 93]. In addition, low levels of HDL cholesterol are another criterion associated with MetS. Low-Density Lipoprotein (LDL) levels, which have a potential atherogenic effect, are usually elevated. Similar to LDL cholesterol, Apolipoprotein B also has an atherogenic effect and increases the risk of cardiovascular disease. Apolipoprotein B measurement and monitoring are not yet widely used [94].

Muscle, fat, and other tissues may become less sensitive to insulin as we age, resulting in dysglycemia and dyslipidemia [95]. As a result of defects in lipoproteins, the amount of free fatty acids in circulation increases. Insulin resistance is caused by abdominal obesity and this increase in free fatty acids increases triglyceride synthesis in the liver. This dyslipidemia picture that emerges in MetS leads to cardiovascular disease predisposition and endothelial damage [96].

Dyslipidemia, which is the leading cause of young death in many countries, increases the likelihood of atherosclerotic CVDs [97, 98]. Among the factors that increase the likelihood of atherosclerotic CVD, dyslipidemia is the most likely to be prevented. In addition to directly affecting the pathogenesis of atherosclerosis, it is highly prevalent and asymptomatic in humans. In studies conducted on individuals living in North America and Europe, it has been reported that one in two adults has dyslipidemia [99, 100]. The rapid increase in T2DM and obesity today causes dyslipidemia to be seen frequently [101].

The claim that it is caused by lifestyle is not true for dyslipidemia. This is because the symptoms of familial hypercholesterolemia, which is an autosomal dominantly inherited single-gene disease and is very common worldwide, are associated with high cholesterol levels and early atherosclerotic CVDs, which do not occur due to lifestyle. Heterozygous familial hypercholesterolemia rates have been shown to range from 1/100 to 1/500 [102, 103].

There are many polygenic familial dyslipidemias with high lipid levels and the incidence in humans is 5-7%. Some of the polygenic familial dyslipidemias that are not related to lifestyle, such as familial hypercholesterolemia, are associated with TG alone, while others are associated with LDL and TG. Dyslipidemia is mostly investigated in association with the possibility of atherosclerotic CVD, and the increased risk of pancreatitis in case of excessive increase in TG levels should also be taken into consideration [104].

In many studies, it has been reported that the use of statins, a group of lipid-lowering drugs for primary and secondary prevention, reduces mortality from atherosclerotic CVDs [105, 106]. Research has shown that the magnitude of cardiovascular benefit is proportional to the reduction in LDL levels [107]. Based on this, several agents have been developed that provide strong reductions in LDL levels, and good results have been obtained [108].

Metabolic Syndrome and Endothelial Dysfunction

Risk factors for oxidative stress such as hypertension, diabetes, smoking, and dyslipidemia cause vascular inflammation and endothelial dysfunction. In addition, a decrease in the level of vasodilator nitric oxide (NO) affects the increase in oxidative stress, leading to pathobiological consequences that open the door to vascular complexities [109-111].

With hyperinsulinemia and insulin resistance, endothelial function deteriorates and vascular damage progresses. One of the harms of insulin resistance is the inhibition of NO-induced vasodilation. In the presence of diabetes and MetS, NO levels decrease in the presence of excess synthesis of superoxide-like reactive oxygen radicals (ROS). Insulin resistance and the level of endothelial dysfunction are proportional to each other [112].

With the increase in insulin ratio in hyperinsulinemia, the nuclear effect caused by oxidative stress activates kappa B (NF-κB), leaving soluble vascular cell adhesion molecule-1 (sVCAM-1) and soluble intercellular adhesion molecule-1 (sICAM-1) in excess, which is recognized as the inflammatory phase of atherosclerosis. In addition, the regional concentration of C-reactive protein (CRP) leads to the production of interleukin-like pro-inflammatory cytokines [109]. In this way, hyperinsulinemia puts direct pressure on vascular smooth muscle and endothelial cells and supports the formation of atherosclerosis [113].

Vascular Inflammation and Prothrombotic Status in Metabolic Syndrome

In addition to inflammatory cytokines, many substances are produced from adipose tissue. Interleukin-6 (IL-6), which is the most potent cytokine involved in inflammatory activities, is one of the most important stimulators in CRP synthesis. Tumor necrosis alpha (TNF-α) can also be demonstrated from adipose tissue. TNF-α, which inhibits lipogenesis, prevents obesity formation by increasing apoptotic adipocyte formation and lipolysis. The best measures of the procoagulant or prothrombic pattern in these patients are the increase in plasminogen and plasminogen activator inhibitor-1 (PAI-1). As a result, it prepares the ground for the increase in atherogenesis and the formation of a thrombus that enables acute coronary progression [114, 115].

The variety of released adipokines includes hormones (e.g. leptin, adiponectin), peptides (e.g. angiotensinogen, apelin, resistin, and PAI-1, and inflammatory cytokines (IL-6, TNF-α, visfatin, omentin, and chemerin), all of which play a major role in the pathophysiology of insulin resistance and MetS [1, 115].

Metabolic Syndrome and Non-alcoholic Fatty Liver Disease

Non-alcoholic fatty liver disease (NAFLD) is a group of diseases characterized by marked macrovesicular steatosis in the liver without alcohol intake. Recent studies have shown that the relationship between NAFLD and MetS is reciprocal and bidirectional. For example, in the early 2000s, it became clear that surrogate indices of liver dysfunction predict T2DM and MetS [116, 117]. Taking these epidemiologic data further, it has been possible to conduct theoretical and meta-analytic studies showing that NAFLD is in fact a potential precursor of T2DM and MetS and that the fibrosis stage is a strong predictor of such a risk [118-120].

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the latest term for steatotic liver disease associated with MetS. In July 2023, with the consensus of the International Liver Societies, terminology, and diagnostic criteria were revised under the main heading of 'steatotic liver disease (SLD)', and the name NAFLD was changed to 'metabolic associated steatotic liver disease (MASLD)' because the terms 'non-alcoholic' and 'fatty' did not fully reflect the pathophysiology [121].

MASLD is closely linked to MetS, as both conditions involve disturbances in metabolic processes that can lead to liver complications. Individuals with MetS often have a higher risk of developing MASLD. The accumulation of fat in the liver (steatosis) is a common feature of both conditions. In MetS, insulin resistance and dyslipidemia contribute to the accumulation of fat in the liver, leading to MASLD. The presence of MetS, T2DM, hypertension, dyslipidemia/hyperlipidemia, and hyperuricemia increases the risk of developing more severe forms of liver disease, such as MAFLD and metabolic dysfunction-associated steatohepatitis (MASH, former name NASH) [122-125].

The presence of NASH increases the risk of T2DM 2-5 times and the risk of cardiovascular disease 2-3 times [123, 125]. Insulin resistance is the most important responsible mechanism in comorbidities and NAFLD. In the association of NASH and T2DM, the risk of developing cirrhosis and HCC increases 2-4-fold [123-125]. The risk of death due to chronic liver disease is approximately 3 times higher in T2DM patients compared to non-diabetic patients [126]. Therefore, guidelines recommend that patients with obesity, insulin resistance, and/or MetS should be screened for NAFLD, and patients with prediabetes or T2DM should be evaluated for NAFLD every 6-12 months [127].

TREATMENT

The primary treatment in MetS, which is a disease picture that emerges under the influence of genetic and environmental factors, should be a positive and permanent lifestyle modification. The general approach in treatment is to first establish lifestyle changes in the patient [128]. Lifestyle and dietary changes are encouraged to treat all of the components of MetS. Lifestyle and dietary changes are encouraged to treat all of the components of MetS. Since the majority of individuals with MetS are overweight, it is important to focus on dietary therapies that help individuals lose weight [129]. Weight loss provides many benefits. It is reported that a small decrease in body weight (5-10%) is sufficient to raise HDL-C and lower TG levels [130]. In addition, ideal weight loss has been shown to regulate blood pressure and reduce parameters associated with fasting blood glucose and insulin resistance [131]. Since the majority of individuals with MetS are overweight, it is important to focus on dietary therapies that help individuals lose weight [129]. Weight loss provides many benefits. It is reported that a small decrease in body weight (5-10%) is sufficient to raise HDL-C and lower TG levels [130]. In addition, ideal weight loss has been shown to regulate blood pressure and reduce parameters associated with fasting blood glucose and insulin resistance [131]. Baxheinrich et al. [132