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Pre-Transplant Prediction of Acute Graft-versus-Host Disease Using the Gut Microbiome

Gut microbiota is thought to influence host responses to allogeneic hematopoietic stem cell transplantation (aHSCT). Recent evidence points to this post-transplant for acute graft-versus-host disease (aGvHD). We asked whether any such association might be found pre-transplant and conducted a metagen...

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Autores principales: Zargari Marandi, Ramtin, Jørgensen, Mette, Ilett, Emma Elizabeth, Nørgaard, Jens Christian, Noguera-Julian, Marc, Paredes, Roger, Lundgren, Jens D., Sengeløv, Henrik, MacPherson, Cameron Ross
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9776596/
https://www.ncbi.nlm.nih.gov/pubmed/36552852
http://dx.doi.org/10.3390/cells11244089
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author Zargari Marandi, Ramtin
Jørgensen, Mette
Ilett, Emma Elizabeth
Nørgaard, Jens Christian
Noguera-Julian, Marc
Paredes, Roger
Lundgren, Jens D.
Sengeløv, Henrik
MacPherson, Cameron Ross
author_facet Zargari Marandi, Ramtin
Jørgensen, Mette
Ilett, Emma Elizabeth
Nørgaard, Jens Christian
Noguera-Julian, Marc
Paredes, Roger
Lundgren, Jens D.
Sengeløv, Henrik
MacPherson, Cameron Ross
author_sort Zargari Marandi, Ramtin
collection PubMed
description Gut microbiota is thought to influence host responses to allogeneic hematopoietic stem cell transplantation (aHSCT). Recent evidence points to this post-transplant for acute graft-versus-host disease (aGvHD). We asked whether any such association might be found pre-transplant and conducted a metagenome-wide association study (MWAS) to explore. Microbial abundance profiles were estimated using ensembles of Kaiju, Kraken2, and DeepMicrobes calls followed by dimensionality reduction. The area under the curve (AUC) was used to evaluate classification of the samples (aGvHD vs. none) using an elastic net to test the relevance of metagenomic data. Clinical data included the underlying disease (leukemia vs. other hematological malignancies), recipient age, and sex. Among 172 aHSCT patients of whom 42 developed aGVHD post transplantation, a total of 181 pre-transplant tool samples were analyzed. The top performing model predicting risk of aGVHD included a reduced species profile (AUC = 0.672). Beta diversity (37% in Jaccard’s Nestedness by mean fold change, p < 0.05) was lower in those developing aGvHD. Ten bacterial species including Prevotella and Eggerthella genera were consistently found to associate with aGvHD in indicator species analysis, as well as relief and impurity-based algorithms. The findings support the hypothesis on potential associations between gut microbiota and aGvHD based on a data-driven approach to MWAS. This highlights the need and relevance of routine stool collection for the discovery of novel biomarkers.
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spelling pubmed-97765962022-12-23 Pre-Transplant Prediction of Acute Graft-versus-Host Disease Using the Gut Microbiome Zargari Marandi, Ramtin Jørgensen, Mette Ilett, Emma Elizabeth Nørgaard, Jens Christian Noguera-Julian, Marc Paredes, Roger Lundgren, Jens D. Sengeløv, Henrik MacPherson, Cameron Ross Cells Article Gut microbiota is thought to influence host responses to allogeneic hematopoietic stem cell transplantation (aHSCT). Recent evidence points to this post-transplant for acute graft-versus-host disease (aGvHD). We asked whether any such association might be found pre-transplant and conducted a metagenome-wide association study (MWAS) to explore. Microbial abundance profiles were estimated using ensembles of Kaiju, Kraken2, and DeepMicrobes calls followed by dimensionality reduction. The area under the curve (AUC) was used to evaluate classification of the samples (aGvHD vs. none) using an elastic net to test the relevance of metagenomic data. Clinical data included the underlying disease (leukemia vs. other hematological malignancies), recipient age, and sex. Among 172 aHSCT patients of whom 42 developed aGVHD post transplantation, a total of 181 pre-transplant tool samples were analyzed. The top performing model predicting risk of aGVHD included a reduced species profile (AUC = 0.672). Beta diversity (37% in Jaccard’s Nestedness by mean fold change, p < 0.05) was lower in those developing aGvHD. Ten bacterial species including Prevotella and Eggerthella genera were consistently found to associate with aGvHD in indicator species analysis, as well as relief and impurity-based algorithms. The findings support the hypothesis on potential associations between gut microbiota and aGvHD based on a data-driven approach to MWAS. This highlights the need and relevance of routine stool collection for the discovery of novel biomarkers. MDPI 2022-12-16 /pmc/articles/PMC9776596/ /pubmed/36552852 http://dx.doi.org/10.3390/cells11244089 Text en © 2022 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
Zargari Marandi, Ramtin
Jørgensen, Mette
Ilett, Emma Elizabeth
Nørgaard, Jens Christian
Noguera-Julian, Marc
Paredes, Roger
Lundgren, Jens D.
Sengeløv, Henrik
MacPherson, Cameron Ross
Pre-Transplant Prediction of Acute Graft-versus-Host Disease Using the Gut Microbiome
title Pre-Transplant Prediction of Acute Graft-versus-Host Disease Using the Gut Microbiome
title_full Pre-Transplant Prediction of Acute Graft-versus-Host Disease Using the Gut Microbiome
title_fullStr Pre-Transplant Prediction of Acute Graft-versus-Host Disease Using the Gut Microbiome
title_full_unstemmed Pre-Transplant Prediction of Acute Graft-versus-Host Disease Using the Gut Microbiome
title_short Pre-Transplant Prediction of Acute Graft-versus-Host Disease Using the Gut Microbiome
title_sort pre-transplant prediction of acute graft-versus-host disease using the gut microbiome
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9776596/
https://www.ncbi.nlm.nih.gov/pubmed/36552852
http://dx.doi.org/10.3390/cells11244089
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