"Diabetes Type 2: From Pathophysiology to Cyber Systems" ed. by Anca Pantea Stoian

This book presents a novel approach to preventing and treating type 2 diabetes. Chapters cover such topics as diagnosis, pathogenesis, management, lifestyle and nutritional intervention, and systems to support early diagnosis and prevention of prediabetes.

Diabetes mellitus is a metabolic disease characterized by chronic high blood glucose levels. Of the various types of diabetes, type 2 diabetes is increasing in prevalence due to obesity, aging, sedentarism, and other factors.

Contents
1. Pathophysiologic Approach to Type 2 Diabetes Management: One Centre Experience 1980–2020
2. Redox Signaling is Essential for Insulin Secretion
3. Individual Glycation Sites as Biomarkers of Type 2 Diabetes Mellitus
4. The Mechanistic and Pathophysiological Role of Adiponectin and Resistin towards Regulation of Food Intake and Appetite in Cardiovascular Associated Risk Factor of Metabolic Syndrome
5. Oral Glucose Tolerance Test (OGTT): Undeniably the First Choice Investigation of Dysglycaemia, Reproducibility can be Improved
6. Organic Volatile Compounds Used in Type 2 Diabetes
7. Diabetes Microvascular Complications: An Overview of Epigenetic Modifications
8. Predicting Type 2 Diabetes Complications and Personalising Patient Using Artificial Intelligence Methodology
9. The Role of Gender in the Onset, Development and Impact of Type 2 Diabetes Mellitus and Its Co-Morbidities
10. Microvascular Complications of Diabetes Mellitus: Focus on Diabetic Retinopathy (DR) and Diabetic Foot Ulcer (DFU)
11. Cardiovascular Risk/Disease in Type 2 Diabetes Mellitus
12. Type 2 Diabetes Mellitus: Cardiovascular Autonomic Neuropathy and Heart Rate Variability
13. The Role of Lifestyle Medicine in the Management of Diabetes Mellitus
14. Nutritional Interventions: Diet Modifications, Nutritional Supplements, Complementary and Alternative Medicine
15. Role of Nutrient and Energy Sensors in the Development of Type 2 Diabetes
16. Therapeutic Effect of Folate and Cobalamin in Diabetics
17. Selecting Intermittent Fasting Type to Improve Health in Type 2 Diabetes: A Machine Learning Approach
18. Integrated Cyber-Physical System to Support Early Diagnosis and Prevention of Prediabetes and Complications of Type 2 Diabetes


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