Omics-based biomarkers in the diagnosis of diabetes

Author:

Gan Wei Zien1,Ramachandran Valsala1,Lim Crystale Siew Ying2,Koh Rhun Yian3

Affiliation:

1. Division of Applied Biomedical Science and Biotechnology, School of Health Sciences, International Medical University, 57000 Kuala Lumpur, Malaysia

2. Department of Biotechnology, Faculty of Applied Sciences, UCSI University Kuala Lumpur, 56000 Kuala Lumpur, Malaysia

3. Division of Applied Biomedical Science and Biotechnology, School of Health Sciences, International Medical University, 57000 Kuala Lumpur, Malaysia, Phone: +60327317207

Abstract

AbstractDiabetes mellitus (DM) is a group of metabolic diseases related to the dysfunction of insulin, causing hyperglycaemia and life-threatening complications. Current early screening and diagnostic tests for DM are based on changes in glucose levels and autoantibody detection. This review evaluates recent studies on biomarker candidates in diagnosing type 1, type 2 and gestational DM based on omics classification, whilst highlighting the relationship of these biomarkers with the development of diabetes, diagnostic accuracy, challenges and future prospects. In addition, it also focuses on possible non-invasive biomarker candidates besides common blood biomarkers.

Publisher

Walter de Gruyter GmbH

Subject

Drug Discovery,Pharmacology,General Medicine,Physiology

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