Evidence map›Paper›PMID 21925896›Full record

ReviewSeminars in immunology2012

Experimental models of B cell tolerance in transplantation.

Michelle L Cowan, Roger Sciammas, Anita S Chong

Abstract readReview
In one paragraph

Review in Seminars in immunology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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.

Michelle L CowanSection of Transplantation, Department of Surgery, The University of Chicago, Chicago, IL 60637, USA.
Roger Sciammas
Anita S Chong

Funding

Mechanistic studies on Listeria infection and inhibition of allograft toleranceR01AI072630 · NIAID · UNIVERSITY OF CHICAGO · PI CHONG, ANITA S · 2007 to 2011
$2.1M
B Cells in Transplantation ToleranceR01AI083452 · NIAID · UNIVERSITY OF CHICAGO · PI CHONG, ANITA S · 2009 to 2010
$780k
B Cell Tolerance Following Allograft TransplantationR56AI043631 · NIAID · UNIVERSITY OF CHICAGO · PI CHONG, ANITA S. · 2005 to 2005
$295k
Development of two alloreactive BCR-Tg mouse strainsR03AI069284 · NIAID · UNIVERSITY OF CHICAGO · PI CHONG, ANITA S · 2008 to 2009
$154k
NIAID NIH HHS R01 AI072630NIAID NIH HHS R01 AI083452NIAID NIH HHS R01AI083452NIAID NIH HHS R03 AI069284NIAID NIH HHS R56 AI043631NIAID NIH HHS R56AI043631
6 · The paper itself

Abstract

The use of conventional immunosuppression has successfully improved short-term allograft survival, however, long-term allograft survival has remained static and is complicated by serious side effects secondary to the long-term use of immunosuppressive agents. Immunological tolerance is the ultimate goal of organ transplantation, however it is an infrequent event in humans. Accordingly, over the past several decades, there has been a push to fully understand both the cellular and molecular mechanisms that play a role in the induction and maintenance of tolerance, with recent data implicating B cells and donor specific alloantibody as a barrier to and potential mediator of allograft tolerance. The study of B cells and alloantibody in transplant tolerance has evolved over recent years from using rodent models to non-human primate models. This review will discuss the role of B cells and alloantibody as antagonists and facilitators of transplantation tolerance, and highlight the experimental models developed for elucidating the mechanisms of B cell tolerance to alloantigen.

Indexed as

Disease Models, AnimalAnimalsB-LymphocytesHumansIsoantibodiesIsoantigensMiceMice, Inbred BALB CMice, Inbred C57BLOrgan TransplantationTransplantation ToleranceIsoantibodiesIsoantigens

Identifiers

PMID21925896
PMCPMC3246558

What OpenQuestion holds

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Registered trials

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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.