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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 that prostaglandins, phospholipids, nucleotides, sugars, and glycans are elevated in the DM-N and DKD patients, whereas glutamine, phenylacetylglutamine, 3-indoxyl sulfate, acetylphenylalanine, xanthine, dimethyluric acid, and asymmetric dimethylarginine are increased in DKD compared to DM-N. The data recapitulate the well-established plasma metabolome changes associated with DM-N and suggest uremic solutes and oxidative stress markers as the compounds indicating early renal function decline in DM patients.

SUBMITTER: Tan YM 

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

REPOSITORIES: biostudies-literature

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

Tan Yan Ming YM   Gao Yan Y   Teo Guoshou G   Koh Hiromi W L HWL   Tai E Shyong ES   Khoo Chin Meng CM   Choi Kwok Pui KP   Zhou Lei L   Choi Hyungwon H  

Metabolites 20210408 4


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 priori  ...[more]

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