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Kidney Allograft Function Is a Confounder of Urine Metabolite Profiles in Kidney Allograft Recipients
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 conducte...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8399888/ https://www.ncbi.nlm.nih.gov/pubmed/34436474 http://dx.doi.org/10.3390/metabo11080533 |
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author | Suhre, Karsten Dadhania, Darshana M. Lee, John Richard Muthukumar, Thangamani Chen, Qiuying Gross, Steven S. Suthanthiran, Manikkam |
author_facet | Suhre, Karsten Dadhania, Darshana M. Lee, John Richard Muthukumar, Thangamani Chen, Qiuying Gross, Steven S. Suthanthiran, Manikkam |
author_sort | Suhre, Karsten |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8399888 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83998882021-08-29 Kidney Allograft Function Is a Confounder of Urine Metabolite Profiles in Kidney Allograft Recipients Suhre, Karsten Dadhania, Darshana M. Lee, John Richard Muthukumar, Thangamani Chen, Qiuying Gross, Steven S. Suthanthiran, Manikkam Metabolites Article 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. MDPI 2021-08-11 /pmc/articles/PMC8399888/ /pubmed/34436474 http://dx.doi.org/10.3390/metabo11080533 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Suhre, Karsten Dadhania, Darshana M. Lee, John Richard Muthukumar, Thangamani Chen, Qiuying Gross, Steven S. Suthanthiran, Manikkam Kidney Allograft Function Is a Confounder of Urine Metabolite Profiles in Kidney Allograft Recipients |
title | Kidney Allograft Function Is a Confounder of Urine Metabolite Profiles in Kidney Allograft Recipients |
title_full | Kidney Allograft Function Is a Confounder of Urine Metabolite Profiles in Kidney Allograft Recipients |
title_fullStr | Kidney Allograft Function Is a Confounder of Urine Metabolite Profiles in Kidney Allograft Recipients |
title_full_unstemmed | Kidney Allograft Function Is a Confounder of Urine Metabolite Profiles in Kidney Allograft Recipients |
title_short | Kidney Allograft Function Is a Confounder of Urine Metabolite Profiles in Kidney Allograft Recipients |
title_sort | kidney allograft function is a confounder of urine metabolite profiles in kidney allograft recipients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8399888/ https://www.ncbi.nlm.nih.gov/pubmed/34436474 http://dx.doi.org/10.3390/metabo11080533 |
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