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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.
Afiliación
  • Zargari Marandi R; Centre of Excellence for Health, Immunity and Infections (CHIP), Rigshospitalet, Copenhagen University Hospital, 2100 Copenhagen, Denmark.
  • Jørgensen M; Centre of Excellence for Health, Immunity and Infections (CHIP), Rigshospitalet, Copenhagen University Hospital, 2100 Copenhagen, Denmark.
  • Ilett EE; Centre of Excellence for Health, Immunity and Infections (CHIP), Rigshospitalet, Copenhagen University Hospital, 2100 Copenhagen, Denmark.
  • Nørgaard JC; Department of Clinical Medicine, Faculty of Health and Medical Sciences, Copenhagen University, 2200 Copenhagen, Denmark.
  • Noguera-Julian M; Centre of Excellence for Health, Immunity and Infections (CHIP), Rigshospitalet, Copenhagen University Hospital, 2100 Copenhagen, Denmark.
  • Paredes R; Department of Clinical Medicine, Faculty of Health and Medical Sciences, Copenhagen University, 2200 Copenhagen, Denmark.
  • Lundgren JD; IrsiCaixa Institute for AIDS Research, 08916 Badalona, Catalonia, Spain.
  • Sengeløv H; Centre for Health and Social Care Research (CESS), Faculty of Medicine, University of Vic-Central University of Catalonia (UVic-UCC), 08500 Vic, Spain.
  • MacPherson CR; Infectious Disease Networking Biomedical Research Center, Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Carlos III Health Institute, 28029 Madrid, Spain.
Cells ; 11(24)2022 12 16.
Article en En | MEDLINE | ID: mdl-36552852
ABSTRACT
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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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Trasplante de Células Madre Hematopoyéticas / Microbioma Gastrointestinal / Enfermedad Injerto contra Huésped Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Cells Año: 2022 Tipo del documento: Article País de afiliación: Dinamarca

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Trasplante de Células Madre Hematopoyéticas / Microbioma Gastrointestinal / Enfermedad Injerto contra Huésped Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Cells Año: 2022 Tipo del documento: Article País de afiliación: Dinamarca