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Metabolic Syndromes at IgMin Research | Medicine Group

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Metabolic Syndromes encompass a cluster of conditions that significantly increase the risk of cardiovascular diseases, type 2 diabetes, and other chronic health problems. These conditions, which include abdominal obesity, elevated blood pressure, high blood sugar levels, and abnormal cholesterol levels, are linked to insulin resistance and systemic inflammation. Researchers in the field of Metabolic Syndromes focus on understanding the genetic, molecular, and lifestyle factors contributing to these disorders to develop targeted prevention and treatment strategies.

The study of Metabolic Syndromes integrates insights from endocrinology, cardiology, and nutrition science to address the multifactorial nature of these conditions. By exploring areas such as the impact of diet, physical activity, and pharmacological interventions, research in this field aims to reduce the prevalence and complications of metabolic disorders. Advancements in this area are crucial for improving public health outcomes, enhancing quality of life, and preventing the onset of related diseases.

Insulin Resistance     Obesity and Metabolic Health     Type 2 Diabetes     Hypertension in Metabolic Syndromes     Dyslipidemia     Inflammation and Metabolic Disorders     Abdominal Obesity     Non-Alcoholic Fatty Liver Disease     Metabolic Syndrome in Adolescents     Cardiovascular Risk Factors     Impact of Diet on Metabolic Health     Exercise and Metabolic Syndrome     Genetic Predisposition to Metabolic Syndromes     Pharmacotherapy for Metabolic Disorders     Gut Microbiome and Metabolic Health     Oxidative Stress and Metabolic Dysfunction     Metabolic Syndrome and Aging     Hormonal Regulation of Metabolism     Nutritional Interventions     Lifestyle Modifications for Metabolic Health 
Metabolic Syndromes

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Research Articles
  1. Communication Training at Medical School: A Quantitative Analysis
  2. Examining the Causal Connection between Lipid-lowering Medications and Malignant Meningiomas through Drug-target Mendelian Randomization Analysis
  3. The Influence of Dynamical Downscaling and Boundary Layer Selection on Egypt’s Potential Evapotranspiration using a Calibrated Version of the Hargreaves-samani Equation: RegCM4 Approach
  4. Use of Augmented Reality as a Radiation-free Alternative in Pain Management Spinal Surgeries
  5. LC-MS and HPLC-UV for Detecting Uremic Toxins: Two Validated Methods with Simultaneous Sensitivity and Specificity Evaluation
  6. Synergistic Assessment of Supplementation of Ascorbic Acid and Massularia acuminata Extracts on Serum Electrolyte and Lipid Profile Indices of Dyslipidemia in Adult Wistar Rats Exposed to Aluminum Chloride Toxicity
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