Evidence map›Paper›PMID 36552852›Full record

ArticleCells2022

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

Ramtin Zargari Marandi, Mette Jørgensen, Emma Elizabeth Ilett, Jens Christian Nørgaard, Marc Noguera-Julian, Roger Paredes, Jens D Lundgren, Henrik Sengeløv, Cameron Ross MacPherson

Open access · goldAbstract read
In one paragraph

Article in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Ramtin Zargari MarandiCentre of Excellence for Health, Immunity and Infections (CHIP), Rigshospitalet, Copenhagen University Hospital, 2100 Copenhagen, Denmark.ORCID 0000-0001-9233-1656
Mette JørgensenCentre of Excellence for Health, Immunity and Infections (CHIP), Rigshospitalet, Copenhagen University Hospital, 2100 Copenhagen, Denmark.ORCID 0000-0002-2804-0560
Emma Elizabeth IlettCentre of Excellence for Health, Immunity and Infections (CHIP), Rigshospitalet, Copenhagen University Hospital, 2100 Copenhagen, Denmark.
Jens Christian NørgaardCentre of Excellence for Health, Immunity and Infections (CHIP), Rigshospitalet, Copenhagen University Hospital, 2100 Copenhagen, Denmark.
Marc Noguera-JulianIrsiCaixa Institute for AIDS Research, 08916 Badalona, Catalonia, Spain.ORCID 0000-0002-6194-1395
Roger ParedesIrsiCaixa Institute for AIDS Research, 08916 Badalona, Catalonia, Spain.
Jens D LundgrenCentre of Excellence for Health, Immunity and Infections (CHIP), Rigshospitalet, Copenhagen University Hospital, 2100 Copenhagen, Denmark.
Henrik SengeløvDepartment of Clinical Medicine, Faculty of Health and Medical Sciences, Copenhagen University, 2200 Copenhagen, Denmark.
Cameron Ross MacPhersonCentre of Excellence for Health, Immunity and Infections (CHIP), Rigshospitalet, Copenhagen University Hospital, 2100 Copenhagen, Denmark.ORCID 0000-0002-8945-9736
University of Copenhagen · DKCopenhagen University Hospital · DKUniversitat de Vic - Universitat Central de Catalunya · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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,

Indexed as

Gastrointestinal MicrobiomeGraft vs Host DiseaseHematopoietic Stem Cell TransplantationBacteriaHumansTransplantation, HomologousaGvHD biomarkersallo-HSCTdeep learninghuman gut microbiomemetagenome-wide associationnext generation sequencingpre-transplant screeningtaxonomic assignment

Identifiers

PMID36552852
PMCPMC9776596
OpenAlexW4311884381

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.