Evidence map›Paper›PMID 38519004›Full record

ArticleAmerican journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons2024

Coordinated elimination of bacterial taxa optimally attenuates alloimmunity and prolongs allograft survival.

Martin Sepulveda, Mladen Rasic, Yuk Man Lei, Montserrat Kwan, Luqiu Chen, Yang Chen, David Perkins, Maria-Luisa Alegre

Abstract read
In one paragraph

Article in American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Delivery of butyrate to the lower gut by polymeric micelles prolongs survival of distal skin allografts.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2025
    Article
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

8 authors.

Martin SepulvedaSection of Rheumatology, Department of Medicine, University of Chicago, Chicago, Illinois, USA.
Mladen RasicDepartment of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA.
Yuk Man LeiSection of Rheumatology, Department of Medicine, University of Chicago, Chicago, Illinois, USA.
Montserrat KwanSection of Rheumatology, Department of Medicine, University of Chicago, Chicago, Illinois, USA.
Luqiu ChenSection of Rheumatology, Department of Medicine, University of Chicago, Chicago, Illinois, USA.
Yang ChenDepartment of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA.
David PerkinsDepartment of Nephrology, University of Illinois at Chicago, Chicago, Illinois, USA.
Maria-Luisa AlegreSection of Rheumatology, Department of Medicine, University of Chicago, Chicago, Illinois, USA. Electronic address: malegre@uchicago.edu.

Funding

INTERDISCIPLINARY TRAINING PROGRAM IN IMMUNOLOGYT32AI007090 · NIAID · UNIVERSITY OF CHICAGO · PI Peter Aidan Savage · 1985 to 2026
$11.7M
University of Chicago Initiative for Maximizing Student Development (IMSD) - Renewal 01R25GM109439 · NIGMS · UNIVERSITY OF CHICAGO · PI SCHWARTZ, NANCY B · 2014 to 2023
$5.7M
Impact of Microbiota on Alloimmune Responses in TransplantationR01AI115716 · NIAID · UNIVERSITY OF CHICAGO · PI ALEGRE, MARIA-LUISA · 2015 to 2024
$4.3M
Training Core for Chicago KUH FORWARDTL1DK132769 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Tamara Isakova · 2021 to 2026
$4.0M
The microbiota and allograft rejection: novel investigations into the consequences of obesityU01AI132898 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI ALEGRE, MARIA-LUISA, PERKINS, DAVID LINN · 2017 to 2021
$2.3M
NIAID NIH HHS R01 AI115716NIAID NIH HHS T32 AI007090NIAID NIH HHS U01 AI132898NIDDK NIH HHS TL1 DK132769NIGMS NIH HHS R25 GM109439
6 · The paper itself

Abstract

This study aimed to dissect the relationship between specific gut commensal bacterial subgroups, their functional metabolic pathways, and their impact on skin allograft outcome and alloimmunity. We previously showed that oral broad-spectrum antibiotic (Abx) pretreatment in mice delayed skin, heart, and lung allograft rejection and dampened alloimmune responses. Here, rationally designed Abx combinations targeting major bacterial groups were used to elucidate their individual contribution to modulating alloimmune responses. Abx cocktails targeting intestinal gram-negative, gram-positive, or anaerobic/gram-positive bacteria by oral gavage, all delayed skin allograft rejection, and reduced alloreactive T cell priming to different extents. Notably, the most pronounced extension of skin allograft survival and attenuation of alloimmunity were achieved when all gut bacterial groups were simultaneously targeted. These results suggest a model in which the strength of the alloimmune response is additively tuned up by gut microbial diversity. Shotgun metagenomic sequencing enabled strain-level resolution and identified a shared commensal, Parabacteroides distasonis, as the most enriched following all Abx treatments. Oral administration of P.distasonis to mice harboring a diverse microbiota significantly prolonged skin allograft survival, identifying a probiotic with therapeutic benefit in transplantation.

Indexed as

Gastrointestinal MicrobiomeGraft RejectionGraft SurvivalMice, Inbred BALB CMice, Inbred C57BLSkin TransplantationAllograftsAnimalsAnti-Bacterial AgentsMaleMiceAnti-Bacterial Agentsalloimmunityantibioticsgut microbiotamicrobial diversityorgan transplantation

Identifiers

PMID38519004
PMCPMC11390333

What OpenQuestion holds

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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.