Overview
Metabolic syndrome is a cluster of interconnected conditions—including abdominal obesity, elevated blood pressure, high blood sugar, and abnormal cholesterol or triglyceride levels—that together increase the risk of cardiovascular disease, type 2 diabetes, and other serious health complications. Research published in Bioinformatics And Diabetes examines metabolic syndrome across diverse populations and contexts, investigating its prevalence among specific groups such as teaching staff in engineering colleges and patients receiving antipsychotic or antidepressant medications. The journal's articles explore nutritional and supplemental interventions, including studies on kale powder consumption, antioxidant micronutrients, and cinnamon supplementation in women with polycystic ovary syndrome, assessing their effects on metabolic parameters. Additional research addresses the molecular and metabolic mechanisms underlying conditions like familial combined hyperlipidemia and their association with metabolic syndrome, as well as the predictive value of anthropometric indicators for metabolic risk in adolescents. This body of work reflects the multifactorial nature of metabolic syndrome, encompassing genetic, dietary, pharmacological, and lifestyle factors, and underscores the importance of identifying at-risk populations and evidence-based interventions to reduce the global burden of metabolic disease.
Research published in this journal
12 peer-reviewed articles, ranked by relevance. Each links to its DOI.
How this research is being cited
The 12 articles above have been cited 26 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.
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2025 · Journal of Genetic Engineering and Biotechnology
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A. A. Raeef et al. · 2025 · Journal of Genetic Engineering and Biotechnology
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2025 · Gaziantep Üniversitesi Spor Bilimleri Dergisi
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2025 · NMO Journal
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2024 · Nutrients
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2024 · Indian Journal of Animal Research
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2024 · Frontiers in Nutrition
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D. Aldisi et al. · 2024 · Frontiers in Nutrition
A sample of recent works citing this journal's research on Metabolic Syndrome, linking to each citing work.