Plasma Metabolome and Lipidome Associations with Type 2 Diabetes and Diabetic Nephropathy.

ABSTRACT: We conducted untargeted metabolomics analysis of plasma samples from a cross-sectional case-control study with 30 healthy controls, 30 patients with diabetes mellitus and normal renal function (DM-N), and 30 early diabetic nephropathy (DKD) patients using liquid chromatography-mass spectrometry (LC-MS). We employed two different modes of MS acquisition on a high-resolution MS instrument for identification and semi-quantification, and analyzed data using an advanced multivariate method for prioritizing differentially abundant metabolites. We obtained semi-quantification data for 1088 unique compounds (~55% lipids), excluding compounds that may be either exogenous compounds or treated as medication. Supervised classification analysis over a confounding-free partial correlation network shows

SUBMITTER: Tan YM 

PROVIDER: S-EPMC8069978 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature