Evidence map›Paper›PMID 30596178›Full record

ArticleKidney international reports2019

Molecular Assessment of C4d-Positive Renal Transplant Biopsies Without Evidence of Rejection.

Katherine M Dominy, Michelle Willicombe, Tariq Al Johani, Hannah Beckwith, Dawn Goodall, Paul Brookes, H Terence Cook, Tom Cairns, Adam McLean, Candice Roufosse

Open access · goldAbstract read
In one paragraph

Article in Kidney international reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

17 citing papers in PubMed, 34 citations in OpenAlex.

  1. Observational
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Diagnostic application of transcripts associated with antibody-mediated rejection in kidney transplant biopsies.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2022
    Article
  8. Article
  9. Proposed Definitions of Antibody-Mediated Rejection for Use as a Clinical Trial Endpoint in Kidney Transplantation.Transplant international : official journal of the European Society for Organ Transplantation · 2022
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. The Banff 2019 Kidney Meeting Report (I): Updates on and clarification of criteria for T cell- and antibody-mediated rejection.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2020
    Article
  16. Banff 2019 Meeting Report: Molecular diagnostics in solid organ transplantation-Consensus for the Banff Human Organ Transplant (B-HOT) gene panel and open source multicenter validation.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2020
    Article
  17. Review
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

10 authors at 3 institutions in 2 countries.

Katherine M DominyCentre for Inflammatory Diseases, Imperial College, London, UK.
Michelle WillicombeCentre for Inflammatory Diseases, Imperial College, London, UK.
Tariq Al JohaniKing Saud University, Riyadh, Saudi Arabia.
Hannah BeckwithImperial College Healthcare NHS Trust, London, UK.
Dawn GoodallImperial College Healthcare NHS Trust, London, UK.
Paul BrookesImperial College Healthcare NHS Trust, London, UK.
H Terence CookCentre for Inflammatory Diseases, Imperial College, London, UK.
Tom CairnsImperial College Healthcare NHS Trust, London, UK.
Adam McLeanImperial College Healthcare NHS Trust, London, UK.
Candice RoufosseCentre for Inflammatory Diseases, Imperial College, London, UK.
Imperial College Healthcare NHS Trust · GBImperial College London · GBKing Saud University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionImmunohistochemical staining for C4d in peritubular capillaries has been part of antibody-mediated rejection (AbMR) definition in the Banff Classification for Allograft Pathology since 2003. However, it has limited sensitivity and specificity, therefore the clinical significance of C4d-positive biopsies without evidence of rejection (C4d+ WER) is unknown. We investigated the transcript levels of genes associated with AbMR in C4d+ WER biopsies from both ABO-compatible and incompatible renal transplant patients.

methodsRNA was extracted from formalin-fixed paraffin-embedded renal transplant biopsies (

resultsAbMR-associated transcripts were significantly increased in samples with AbMR or suspicious AbMR. A subgroup of 17 of 35 transcripts that best distinguished AbMR from C4d-negative biopsies without evidence of rejection was used to study C4d+ WER samples. There was no differential expression between C4d-negative and C4d+ WER from both ABO-incompatible and -compatible transplants. The geometric mean of 17 differentially expressed genes was used to assign the C4d+ WER biopsies a high- or low-AbMR transcript score. Follow-up biopsies showed AbMR within 1 year of initial biopsy in 5 of 7 high-AbMR transcript patients but only 2 of 46 low-AbMR transcript patients. In multivariate logistic regression analysis, elevated transcript levels in a C4d+ WER biopsy were associated with increased odds for biopsy-proven AbMR on follow-up (

conclusionGene expression analysis in C4d+ WER samples has the potential to identify patients at higher risk of developing AbMR.

Indexed as

antibody mediated rejectionC4dkidneymoleculartransplant rejection

Identifiers

PMID30596178
PMCPMC6308373
OpenAlexW2892194064

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.