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Metabolomics profiling in acute liver transplant rejection in a pediatric population
Pediatric liver transplantation rejection affects 20% of children. Currently, liver biopsy, expensive and invasive, is the best method of diagnosis. Discovery and validation of clinical biomarkers from blood or other biospecimens would improve clinical care. For this study, stored plasma samples wer...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9636214/ https://www.ncbi.nlm.nih.gov/pubmed/36333377 http://dx.doi.org/10.1038/s41598-022-18957-4 |
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author | Frediani, Jennifer K. Beyh, Yara S. Gupta, Nitika Westbrook, Adrianna L. Cleeton, Rebecca Cordero, Maria Hernandez, Albert Tran, ViLinh Jones, Dean P. Vos, Miriam B. |
author_facet | Frediani, Jennifer K. Beyh, Yara S. Gupta, Nitika Westbrook, Adrianna L. Cleeton, Rebecca Cordero, Maria Hernandez, Albert Tran, ViLinh Jones, Dean P. Vos, Miriam B. |
author_sort | Frediani, Jennifer K. |
collection | PubMed |
description | Pediatric liver transplantation rejection affects 20% of children. Currently, liver biopsy, expensive and invasive, is the best method of diagnosis. Discovery and validation of clinical biomarkers from blood or other biospecimens would improve clinical care. For this study, stored plasma samples were utilized from two cross-sectional cohorts of liver transplant patients at Children’s Healthcare of Atlanta. High resolution metabolic profiling was completed using established methods. Children with (n = 18) or without (n = 25) acute cellular rejection were included in the analysis (n = 43 total). The mean age of these racially diverse cohorts ranged from 12.6 years in the rejection group and 13.6 years in the no rejection group. Linear regression provided 510 significantly differentiating metabolites between groups, and OPLS-DA showed 145 metabolites with VIP > 2. A total of 95 overlapping significant metabolites between OPLS-DA and linear regression analyses were detected. Pathway analysis (p < 0.05) showed bile acid biosynthesis and tryptophan metabolism as the top two differentiating pathways. Network analysis also identified tryptophan and clustered with liver enzymes and steroid use. We conclude metabolic profiling of plasma from children with acute liver transplant rejection demonstrates > 500 significant metabolites. This result suggests that development of a non-invasive biomarker-based test is possible for rejection screening. |
format | Online Article Text |
id | pubmed-9636214 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-96362142022-11-06 Metabolomics profiling in acute liver transplant rejection in a pediatric population Frediani, Jennifer K. Beyh, Yara S. Gupta, Nitika Westbrook, Adrianna L. Cleeton, Rebecca Cordero, Maria Hernandez, Albert Tran, ViLinh Jones, Dean P. Vos, Miriam B. Sci Rep Article Pediatric liver transplantation rejection affects 20% of children. Currently, liver biopsy, expensive and invasive, is the best method of diagnosis. Discovery and validation of clinical biomarkers from blood or other biospecimens would improve clinical care. For this study, stored plasma samples were utilized from two cross-sectional cohorts of liver transplant patients at Children’s Healthcare of Atlanta. High resolution metabolic profiling was completed using established methods. Children with (n = 18) or without (n = 25) acute cellular rejection were included in the analysis (n = 43 total). The mean age of these racially diverse cohorts ranged from 12.6 years in the rejection group and 13.6 years in the no rejection group. Linear regression provided 510 significantly differentiating metabolites between groups, and OPLS-DA showed 145 metabolites with VIP > 2. A total of 95 overlapping significant metabolites between OPLS-DA and linear regression analyses were detected. Pathway analysis (p < 0.05) showed bile acid biosynthesis and tryptophan metabolism as the top two differentiating pathways. Network analysis also identified tryptophan and clustered with liver enzymes and steroid use. We conclude metabolic profiling of plasma from children with acute liver transplant rejection demonstrates > 500 significant metabolites. This result suggests that development of a non-invasive biomarker-based test is possible for rejection screening. Nature Publishing Group UK 2022-11-04 /pmc/articles/PMC9636214/ /pubmed/36333377 http://dx.doi.org/10.1038/s41598-022-18957-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Frediani, Jennifer K. Beyh, Yara S. Gupta, Nitika Westbrook, Adrianna L. Cleeton, Rebecca Cordero, Maria Hernandez, Albert Tran, ViLinh Jones, Dean P. Vos, Miriam B. Metabolomics profiling in acute liver transplant rejection in a pediatric population |
title | Metabolomics profiling in acute liver transplant rejection in a pediatric population |
title_full | Metabolomics profiling in acute liver transplant rejection in a pediatric population |
title_fullStr | Metabolomics profiling in acute liver transplant rejection in a pediatric population |
title_full_unstemmed | Metabolomics profiling in acute liver transplant rejection in a pediatric population |
title_short | Metabolomics profiling in acute liver transplant rejection in a pediatric population |
title_sort | metabolomics profiling in acute liver transplant rejection in a pediatric population |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9636214/ https://www.ncbi.nlm.nih.gov/pubmed/36333377 http://dx.doi.org/10.1038/s41598-022-18957-4 |
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