Evidence map›Paper›PMID 24926998›Full record

ArticlePloS one2014

Insights from computational modeling in inflammation and acute rejection in limb transplantation.

Dolores Wolfram, Ravi Starzl, Hubert Hackl, Derek Barclay, Theresa Hautz, Bettina Zelger, Gerald Brandacher, W P Andrew Lee, Nadine Eberhart, Yoram Vodovotz and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
  2. Article
  3. Significance and Influence of Suturing for Ovarian Tissue Transplantation.Reproductive sciences (Thousand Oaks, Calif.) · 2024
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Subcutaneous administration of a neutralizing IL-1β antibody prolongs limb allograft survival.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2018
    Article
  10. Article
  11. Engineering control into medicine.Journal of critical care · 2015
    Review
  12. Article
  13. Article
  14. 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

13 authors at 5 institutions in 2 countries.

Dolores WolframDepartment of Plastic, Reconstructive and Aesthetic Surgery, Innsbruck Medical University, Innsbruck, Austria.
Ravi StarzlLanguage Technologies Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.
Hubert HacklDivision of Bioinformatics, Biocenter, Innsbruck Medical University, Innsbruck, Austria.
Derek BarclayDepartment of Immunology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Theresa HautzDepartment of Visceral, Transplant and Thoracic Surgery, Innsbruck Medical University, Innsbruck, Austria.
Bettina ZelgerDepartment of Pathology, Innsbruck Medical University, Innsbruck, Austria.
Gerald BrandacherDepartment of Plastic and Reconstructive Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
W P Andrew LeeDepartment of Plastic and Reconstructive Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Nadine EberhartDepartment of Plastic, Reconstructive and Aesthetic Surgery, Innsbruck Medical University, Innsbruck, Austria.
Yoram VodovotzDepartment of Immunology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Johann PratschkeDepartment of Visceral, Transplant and Thoracic Surgery, Innsbruck Medical University, Innsbruck, Austria.
Gerhard PiererDepartment of Plastic, Reconstructive and Aesthetic Surgery, Innsbruck Medical University, Innsbruck, Austria.
Stefan SchneebergerDepartment of Visceral, Transplant and Thoracic Surgery, Innsbruck Medical University, Innsbruck, Austria; Department of Plastic and Reconstructive Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Innsbruck Medical University · ATJohns Hopkins Medicine · USUniversity of Pittsburgh · USCarnegie Mellon University · USJohns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute skin rejection in vascularized composite allotransplantation (VCA) is the major obstacle for wider adoption in clinical practice. This study utilized computational modeling to identify biomarkers for diagnosis and targets for treatment of skin rejection. Protein levels of 14 inflammatory mediators in skin and muscle biopsies from syngeneic grafts [n = 10], allogeneic transplants without immunosuppression [n = 10] and allografts treated with tacrolimus [n = 10] were assessed by multiplexed analysis technology. Hierarchical Clustering Analysis, Principal Component Analysis, Random Forest Classification and Multinomial Logistic Regression models were used to segregate experimental groups. Based on Random Forest Classification, Multinomial Logistic Regression and Hierarchical Clustering Analysis models, IL-4, TNF-α and IL-12p70 were the best predictors of skin rejection and identified rejection well in advance of histopathological alterations. TNF-α and IL-12p70 were the best predictors of muscle rejection and also preceded histopathological alterations. Principal Component Analysis identified IL-1α, IL-18, IL-1β, and IL-4 as principal drivers of transplant rejection. Thus, inflammatory patterns associated with rejection are specific for the individual tissue and may be superior for early detection and targeted treatment of rejection.

Indexed as

Computer SimulationAnimalsExtremitiesGraft RejectionGraft SurvivalImmunosuppressive AgentsInterleukin-4MaleRatsSkinTacrolimusTransplantation, HomologousTumor Necrosis Factor-alphaImmunosuppressive AgentsInterleukin-4TacrolimusTumor Necrosis Factor-alpha

Identifiers

PMID24926998
PMCPMC4057425
OpenAlexW2069233602

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.