Related Experiment Video
Updated: May 11, 2026

CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data
Published on: November 10, 2023
Identification of biomarkers for type 2 diabetes and its complications: a bioinformatic approach
Srinubabu Gedela1, Allam Appa Rao, Narasimha Rao Medicherla
1International Center for Bioinformatics and Center for biotechnology, College of Engineering, Andhra University, Visakhapatnam, India.
Abstract:
The long asymptomatic period before the onset of chronic diseases presents opportunities for disease prevention. Many chronic diseases like type 2 diabetes and its complications may be preventable by avoiding factors that trigger the disease process (primary prevention) or by use of therapies that modulate the disease process before the onset of clinical symptoms (secondary prevention). Accurate prediction and identification using biomarkers will be useful for disease prevention and initiation of proactive therapies to those individuals who are most likely to develop the disease. Recent technological advances in genetics, genomics, proteomics, and bioinformatics offer great opportunities for biomarker discovery. In this review, type 2 diabetes and its complications are used as examples discuss pertinent issues related to high throughput biomarker discovery using bioinformatic pathways.
Related Concept Videos
Type II Diabetes Mellitus III: Clinical Manifestations and Diagnosis
Type II Diabetes I: Introduction
Type II Diabetes II: Pathophysiology
Diabetes: Symptoms, Diagnosis, and Complications
Diabetes Mellitus: Type 2 and Gestational
Type I Diabetes II: Pathophysiology