Omics-based biomarkers in the diagnosis of diabetes

Gan, W.Z.; Ramachandran, V.,; Lim, C.S.Y.,; Koh, R.Y.

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dc.contributor.author	Gan, W.Z.
dc.contributor.author	Ramachandran, V.,
dc.contributor.author	Lim, C.S.Y.,
dc.contributor.author	Koh, R.Y.
dc.date.accessioned	2021-09-07T04:47:29Z
dc.date.available	2021-09-07T04:47:29Z
dc.date.issued	2020-03
dc.identifier.citation	Gan, Wei Zien, Ramachandran, Valsala, Lim, Crystale Siew Ying and Koh, Rhun Yian. "Omics-based biomarkers in the diagnosis of diabetes: " Journal of Basic and Clinical Physiology and Pharmacology, vol. 31, no. 2, 2020, pp. 20190120. https://doi.org/10.1515/jbcpp-2019-0120	en_US
dc.identifier.issn	7926855
dc.identifier.uri	http://hdl.handle.net/123456789/25115
dc.description	Article index by Scopus	en_US
dc.description.abstract	Diabetes 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. © 2020 Walter de Gruyter GmbH, Berlin/Boston 2020.	en_US
dc.language.iso	en	en_US
dc.publisher	De Gruyter	en_US
dc.subject	biomarkers	en_US
dc.subject	diabetes	en_US
dc.subject	gestational diabetes mellitus	en_US
dc.subject	omics	en_US
dc.subject	type 1 diabetes	en_US
dc.subject	type 2 diabetes	en_US
dc.title	Omics-based biomarkers in the diagnosis of diabetes	en_US
dc.type	Article	en_US