Type 2 diabetes mellitus is a chronic metabolic disorder in which the body becomes resistant to insulin and cannot produce enough to maintain normal blood glucose, leading to persistently elevated blood sugar. It is the most common form of diabetes and is strongly associated with lifestyle factors such as physical i…
Type 2 diabetes mellitus is a chronic metabolic disorder in which the body becomes resistant to insulin and cannot produce enough to maintain normal blood glucose, leading to persistently elevated blood sugar. It is the most common form of diabetes and is strongly associated with lifestyle factors such as physical inactivity, obesity, and poor diet, as well as genetic predisposition. Over time, uncontrolled disease raises the risk of cardiovascular, renal, neurological, and other complications. Approached through bioinformatics, type 2 diabetes is studied using computational analysis of large biological datasets, including genomics, metabolomics, and gene-polymorphism data, to clarify disease mechanisms, identify biomarkers, and inform diagnosis and treatment. Such methods help connect molecular signatures to clinical risk and metabolic pathways. Research in this journal and across related OpenAccessPub titles reflects this orientation, including bioinformatic analysis of metabolomics in type 2 diabetes, studies of gene polymorphisms and their association with obesity, blood pressure, and diabetes susceptibility, the metabolic links between diabetes and depression involving kynurenines and vitamin B6, technology-enhanced lifestyle interventions for prediabetes, gene-therapy approaches to type 2 diabetes, and the influence of nutrients and dietary compounds on glucose regulation.
12 peer-reviewed articles, ranked by relevance. Each links to its DOI.
The 12 articles above have been cited 70 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.
A sample of recent works citing this journal's research on Diabetes Mellitus, Type 2, linking to each citing work.