Evidence map›Paper›PMID 23903013›Full record

ReviewTransplantation2014

Microbes and allogeneic transplantation.

Maria-Luisa Alegre, Caroline Bartman, Anita S Chong

Abstract readReview
In one paragraph

Review in Transplantation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Pseudomonas aeruginosa and acute rejection independently increase the risk of donor-specific antibodies after lung transplantation.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2020
    Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Fecal microbiota transplantation for refractory Clostridium difficile colitis in solid organ transplant recipients.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2014
    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

3 authors.

Maria-Luisa Alegre1 Section of Rheumatology, Department of Medicine, University of Chicago, Chicago, IL. 2 Section of Transplantation, Department of Surgery, University of Chicago, Chicago, IL. 3 Address for Correspondence: Maria-Luisa Alegre, M.D., Ph.D., Section of Rheumatology, Department of Medicine, University of Chicago, 924 East 57th Street, JFK-R312, Chicago, IL.
Caroline Bartman
Anita S Chong

Funding

T cell mechanisms that distinguish robust tolerance from metastable allograft acceptance and failed tolerance (Project 2)P01AI097113 · NIAID · UNIVERSITY OF CHICAGO · PI Maria-Luisa Alegre, Anita S Chong · 2012 to 2026
$23.8M
Mechanisms of TLR-mediated prevention of transplantation toleranceR01AI071080 · NIAID · UNIVERSITY OF CHICAGO · PI ALEGRE, MARIA-LUISA · 2008 to 2012
$1.6M
NIAID NIH HHS P01 AI097113NIAID NIH HHS R01 AI071080
6 · The paper itself

Abstract

Microbial products can be recognized by pattern recognition receptors expressed by immune and parenchymal cells and drive innate immunity that can in turn shape adaptive immune responses to microbial and transplant antigens. In transplanted patients, the signals and their downstream inflammatory cytokines elicited in response to infections can modulate ongoing alloimmune responses and modify the fate of transplanted organs. In recent years, it has become apparent that microbial signals can be generated not only by active pathogenic infections but also by commensal microbiota, thus opening a new field of research into the interplay between the microbiota and the immune system in homeostasis and disease. The wide use of antibiotics and immunosuppressive drugs in transplanted patients can have dramatic consequences on the microbiota that can in turn shape immune responses and perhaps alloresponses, whereas the ongoing immune responses can in turn affect the commensal or pathogenic microorganisms in a feed-forward circle. Here, we discuss known and hypothesized mechanisms for how infections or microbiota-derived signals may affect local or systemic alloimmunity and briefly review data on downstream effects of antibiotics and vaccinations.

Indexed as

AnimalsAnti-Bacterial AgentsBacteriaBacterial InfectionsBacterial VaccinesGraft RejectionGraft SurvivalHumansImmunologic MemoryImmunosuppressive AgentsOrgan TransplantationT-LymphocytesTransplantation, HomologousTransplantation ToleranceTreatment OutcomeAnti-Bacterial AgentsBacterial VaccinesImmunosuppressive Agents

Identifiers

PMID23903013
PMCPMC3859868

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.