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Dataset Information

Gene coexpression network analysis identified potential biomarkers in gestational diabetes mellitus progression.


ABSTRACT:

Background

Gestational diabetes mellitus (GDM) is one of the most common problems during pregnancy. Lack of international consistent diagnostic procedures has limit improvement of current therapeutic effectiveness. Here, we aimed to screen potential gene biomarkers that might play vital roles in GDM progression for assistance of its diagnostic and treatment.

Methods

Gene expression profiles in four GDM placentae at first trimester, four GDM placentae at second trimester, and four normal placentae were obtained from the publicly available Gene Expression Omnibus (GEO). Weighted gene coexpression network analysis (WGCNA) indicated two gene modules, that is, black and brown module, that was significantly positively and negatively correlated with GDM progression time points, res

SUBMITTER: Zhao X 

PROVIDER: S-EPMC6382444 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature