Research Topic · Peer-Reviewed

Diabetic Nephropathy

Diabetic nephropathy is a progressive kidney disease that develops as a complication of diabetes, in which prolonged high blood-glucose levels damage the small blood vessels and filtering units of the kidneys, gradually impairing renal function and, in advanced stages, leading to kidney failure. It is a leading caus…

Curated from this journal's research 📚 12 peer-reviewed articles cited Cited 69× across the literature 🔖 ISSN 2374-9431 🗓 Reviewed July 2026

Overview

Diabetic nephropathy is a progressive kidney disease that develops as a complication of diabetes, in which prolonged high blood-glucose levels damage the small blood vessels and filtering units of the kidneys, gradually impairing renal function and, in advanced stages, leading to kidney failure. It is a leading cause of chronic kidney disease and end-stage renal disease worldwide and is associated with increased cardiovascular risk. Early changes include the appearance of protein in the urine, and progression can often be slowed through glycaemic control, blood-pressure management, and other interventions, making early detection important. The bioinformatics dimension brings computational and molecular tools to bear on understanding disease mechanisms, identifying biomarkers, and informing diagnosis and therapy. Within this field the journal publishes peer-reviewed research on bioinformatic resources for diabetic nephropathy and on the broader impact of nutrients and metabolic factors on diabetes. Related work addresses chronic kidney disease and haemodialysis, including gene-expression studies of apoptosis-related genes, oxidative stress and inflammatory markers in dialysis patients, dipper and non-dipper hypertension patterns by kidney-disease stage, and proteomic and genomic techniques applied to diagnostics and personalised medicine. Complementary studies on diabetes in children, complementary therapies in diabetic models, and matrix metalloproteinase regulation reflect the integration of clinical, molecular, and computational perspectives.

Research published in this journal

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

2013

Bioinformatic Resources for Diabetic Nephropathy

Jayne McKnight AmyCorresponding author
Nephrology Research, Centre for Public Health, Queen’s University of Belfast
Exact topic 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 69 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 Diabetic Nephropathy, 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.