Evidence map›Paper›PMID 18815618›Full record

ReviewClinical & developmental immunology2008

Viral infection: a potent barrier to transplantation tolerance.

David M Miller, Thomas B Thornley, Dale L Greiner, Aldo A Rossini

Abstract readReview
In one paragraph

Review in Clinical & developmental immunology, 2008. 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. Article
  2. Review
  3. 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

4 authors.

David M MillerDivision of Diabetes, Department of Medicine, University of Massachusetts Medical School, Worcester, MA 01655, USA.
Thomas B Thornley
Dale L Greiner
Aldo A Rossini

Funding

PILOT AND FEASIBILITY PROGRAMP30DK032520 · NIDDK · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI CZECH, MICHAEL P · 1986 to 2010
$14.6M
SINGLE CYCLE SIV PARTICLES--A NOVEL VACCINE STRATEGYR21AI042669 · NIAID · AARON DIAMOND AIDS RESEARCH CENTER · PI ZHANG, LINQI · 1997 to 1998
–
NIAID NIH HHS AI42669NIDDK NIH HHS DK32520NIDDK NIH HHS P30 DK032520
6 · The paper itself

Abstract

Transplantation of allogeneic organs has proven to be an effective therapeutic for a large variety of disease states, but the chronic immunosuppression that is required for organ allograft survival increases the risk for infection and neoplasia and has direct organ toxicity. The establishment of transplantation tolerance, which obviates the need for chronic immunosuppression, is the ultimate goal in the field of transplantation. Many experimental approaches have been developed in animal models that permit long-term allograft survival in the absence of chronic immunosuppression. These approaches function by inducing peripheral or central tolerance to the allograft. Emerging as some of the most promising approaches for the induction of tolerance are protocols based on costimulation blockade. However, as these protocols move into the clinic, there is recognition that little is known as to their safety and efficacy when confronted with environmental perturbants such as virus infection. In animal models, it has been reported that virus infection can prevent the induction of tolerance by costimulation blockade and, in at least one experimental protocol, can lead to significant morbidity and mortality. In this review, we discuss how viruses modulate the induction and maintenance of transplantation tolerance.

Indexed as

AnimalsGraft RejectionHumansImmunity, InnateImmunosuppression TherapySignal TransductionTransplantation ImmunologyTransplantation ToleranceVirus Diseases

Identifiers

PMID18815618
PMCPMC2536507

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.