DESI-MSI and METASPACE indicates lipid abnormalities and altered mitochondrial membrane components in diabetic renal proximal tubules.

ABSTRACT: INTRODUCTION:Diabetic kidney disease (DKD) is the most prevalent complication in diabetic patients, which contributes to high morbidity and mortality. Urine and plasma metabolomics studies have been demonstrated to provide valuable insights for DKD. However, limited information on spatial distributions of metabolites in kidney tissues have been reported. OBJECTIVES:In this work, we employed an ambient desorption electrospray ionization-mass spectrometry imaging (DESI-MSI) coupled to a novel bioinformatics platform (METASPACE) to characterize the metabolome in a mouse model of DKD. METHODS:DESI-MSI was performed for spatial untargeted metabolomics analysis in kidneys of mouse models (F1 C57BL/6J-Ins2Akita male mice at 17 weeks of age) of type 1 diabetes (T1D, n?=?5) and heathy controls (n?=?6). RESULTS:Multivariate analyses (i.e., PCA and PLS-DA (a 2000 permutation test: P?

SUBMITTER: Zhang G 

PROVIDER: S-EPMC7301343 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature