Research Topic · Peer-Reviewed

Type 2 Diabetes Risk

Type 2 diabetes risk refers to the probability that an individual will develop type 2 diabetes mellitus, a metabolic disorder characterised by insulin resistance and progressive beta-cell dysfunction leading to chronic hyperglycaemia. Risk is shaped by modifiable factors such as adiposity, physical inactivity, and d…

Curated from this journal's research 📚 12 peer-reviewed articles cited Cited 181× across the literature 🔖 ISSN 2374-9431 🗓 Reviewed July 2026

Overview

Type 2 diabetes risk refers to the probability that an individual will develop type 2 diabetes mellitus, a metabolic disorder characterised by insulin resistance and progressive beta-cell dysfunction leading to chronic hyperglycaemia. Risk is shaped by modifiable factors such as adiposity, physical inactivity, and diet, and by non-modifiable factors including age, family history, and genetic variation, with prediabetes representing an intermediate, high-risk state amenable to intervention. Quantifying and stratifying this risk draws on clinical assessment, metabolic and biochemical markers, genetic polymorphism analysis, and lifestyle data. Research relevant to this area examines bioinformatics of metabolomics in type 2 diabetes mellitus, baseline assessment of primary-care prediabetes patients engaging in a technology-enhanced lifestyle intervention, and biopsychosocial models of self-management and quality of life in patients with type 2 diabetes. Allied work addresses risk factors in gestational diabetes, computational analysis of disease-associated SNPs and transcription-factor binding sites, the diabetes-depression link via kynurenine and vitamin B6 pathways, and non-invasive glucose measurement. These studies integrate bioinformatics, metabolomics, genetics, and clinical epidemiology to clarify the determinants and prediction of diabetes risk. The journal publishes peer-reviewed research on the biology, genetics, and bioinformatics of diabetes and its risk factors.

Research published in this journal

12 peer-reviewed articles, ranked by relevance. Each links to its DOI.

2014

Bioinformatics of Metabolomics in Diabetes Mellitus Type 2

Ahmad Sliem HamdyCorresponding author
Biochemistry and internal Medicine*, Basic oral and medical sciences, College of dentistry, Qassim University, Saudi Arabia
Bioinformatics And Diabetes Cited by 2 doi:10.14302/issn.2374-9431.jbd-13-212
2013

Kynurenines and Vitamin B6: Link Between Diabetes and Depression.

Oxenkrug GregoryCorresponding author
Psychiatry and Inflammation Program, Department of Psychiatry, Tufts University School of Medicine and Tufts Medical Center, Boston MA, USA.
Bioinformatics And Diabetes Cited by 31 doi:10.14302/issn.2374-9431.jbd-13-218
2013

Bioinformatic Resources for Diabetic Nephropathy

Jayne McKnight AmyCorresponding author
Nephrology Research, Centre for Public Health, Queen’s University of Belfast
Bioinformatics And Diabetes Cited by 4 doi:10.14302/issn.2374-9431.jbd-13-226

How this research is being cited

The 12 articles above have been cited 181 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 Type 2 Diabetes Risk, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in Bioinformatics And Diabetes (ISSN 2374-9431).

Journal editorial board
Wei Wang · United States Chol Hee Jung · Australia Emile Chimusa · United Kingdom

This page summarises published research for orientation; it is not medical or professional advice.