Kidney Allograft Function Is a Confounder of Urine Metabolite Profiles in Kidney Allograft Recipients.
Karsten SuhreDarshana M DadhaniaJohn Richard LeeThangamani MuthukumarQiuying ChenSteven S GrossManikkam SuthanthiranPublished in: Metabolites (2021)
Noninvasive biomarkers of kidney allograft status can help minimize the need for standard of care kidney allograft biopsies. Metabolites that are measured in the urine may inform about kidney function and health status, and potentially identify rejection events. To test these hypotheses, we conducted a metabolomics study of biopsy-matched urine cell-free supernatants from kidney allograft recipients who were diagnosed with two major types of acute rejections and no-rejection controls. Non-targeted metabolomics data for 674 metabolites and 577 unidentified molecules, for 192 biopsy-matched urine samples, were analyzed. Univariate and multivariate analyses identified metabolite signatures for kidney allograft rejection. The replicability of a previously developed urine metabolite signature was examined. Our study showed that metabolite profiles can serve as biomarkers for discriminating rejection biopsies from biopsies without rejection features, but also revealed a role of estimated Glomerular Filtration Rate (eGFR) as a major confounder of the metabolite signal.
Keyphrases
- kidney transplantation
- cell free
- ultrasound guided
- small cell lung cancer
- healthcare
- mass spectrometry
- palliative care
- liver failure
- machine learning
- dna methylation
- single cell
- fine needle aspiration
- gene expression
- tyrosine kinase
- drug induced
- cancer therapy
- electronic health record
- big data
- epidermal growth factor receptor
- genome wide
- hepatitis b virus
- affordable care act