Background: Kidney risk variants (KRVs) in the gene are associated with mitochondrial dysfunction. However, the molecular spectrum of metabolites affected by the G1 and G2 KRVs, and the downstream mitochondrial pathways they affect, remain unknown.

Methods: We performed a metabolomics analysis using HEK293 Tet-on cells conditionally expressing G0, G1, and G2 KRVs to determine the patterns of metabolites and pathways potentially involved in nephropathy. The Welch two-sample test, matched-pairs test, and two-way repeated measures ANOVA were used to identify differential metabolites. Random forest, a supervised classification algorithm that uses an ensemble of decision trees, and the mean-decrease-accuracy metric were applied to prioritize top metabolites.

Results: Alterations in the tricarboxylic acid cycle, increased fatty acid oxidation, and compromised redox homeostasis were the major pathways affected by overexpression of KRVs.

Conclusions: Impairment of mitochondrial membrane respiratory chain complex I appeared to account for critical metabolic consequences of KRVs. This finding supports depletion of the mitochondrial membrane potential, as has been reported.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8815529PMC
http://dx.doi.org/10.34067/KID.0003592020DOI Listing

Publication Analysis

Top Keywords

risk variants
8
mitochondrial pathways
8
metabolomics analysis
8
mitochondrial membrane
8
mitochondrial
5
variants impair
4
impair multiple
4
multiple mitochondrial
4
pathways
4
pathways metabolomics
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!