Evidence map›Paper›PMID 27345248›Full record

ReviewNature reviews. Nephrology2016

Molecular assessment of disease states in kidney transplant biopsy samples.

Philip F Halloran, Konrad S Famulski, Jeff Reeve

2 registry-linked trialsAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Nephrology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 82 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 2 pooled it
15.1field-weighted citation impact, top 1% 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.

NCT01299168 recruitingnot on this map

Multi-centric Observational Study to Analyse the Diagnostic Molecular Features in the Clinical Setting of Kidney Allograft Biopsies

TypeobservationalSponsorUniversity of AlbertaRan2011 to 2028Enrolled500ConditionsValidation Study of Molecular Diagnostic System, Development of Reporting System for Molecular Diagnosis, Incorporate Molecular Diagnosis Into Diagnostic Standards
NCT03487861 unknown statusnot on this mapstarted 2017, after this paper: background citation

Development of a Diagnostic Kit for Urinary Transglutaminase 2 as a Biomarker for Kidney Allograft Fibrosis

TypeobservationalSponsorAsan Medical CenterRan2017 to 2020Enrolled1,000ConditionsKidney Allograft Fibrosis, Kidney Transplant Failure and RejectionArmsobservational(urinary biomarker for kidney allograft fibrosis)
3 · Its place in the literature

Who cites it

82 citing papers in PubMed, 2 syntheses or guidelines pooled it, 177 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. A Randomized Trial of Bortezomib in Late Antibody-Mediated Kidney Transplant Rejection.Journal of the American Society of Nephrology : JASN · 2018
    Trial
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. High-dimensional profiling of immune responses to kidney transplant reveals heterogeneous T helper 1 and B cell effectors associated with rejection.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2025
    Article
  14. Article
  15. Limitations of biopsy-based transcript diagnostics to detect T-cell-mediated allograft rejection.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2025
    Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. History of Heart Transplant: Setting the Stage.Methodist DeBakey cardiovascular journal · 2025
    Review

22 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

Philip F HalloranAlberta Transplant Applied Genomics Centre, University of Alberta.
Konrad S FamulskiAlberta Transplant Applied Genomics Centre, University of Alberta.
Jeff ReeveAlberta Transplant Applied Genomics Centre, University of Alberta.
University of Alberta · CAThe Metabolomics Innovation Centre · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Progress in renal transplantation requires improved understanding and assessment of rejection and injury. Study of the relationship between gene expression and clinical phenotypes in kidney transplant biopsy samples has led to the development of a system that enables diagnoses of specific disease states on the basis of messenger RNA levels in the biopsy sample. Using this system we have defined the molecular landscape of T cell-mediated rejection (TCMR), antibody-mediated rejection (ABMR), acute kidney injury (AKI), and tubular atrophy and interstitial fibrosis. TCMR and ABMR share IFNγ-mediated effects and TCMR has emerged as a cognate T cell-antigen presenting cell process in the interstitium, whereas ABMR is a natural-killer-cell-mediated process that occurs in the microcirculation. The specific features of these different processes have led to the creation of classifiers to test for TCMR and ABMR, and revealed that ABMR is the principal cause of kidney transplant deterioration. The molecular changes associated with renal injury are often more extensive than suggested by histology and indicate that the progression to graft failure is caused by continuing nephron injury, rather than fibrogenesis. In summary, advances in the molecular assessment of disease states in biopsy samples has improved understanding of specific processes involved in kidney graft outcomes.

Indexed as

Kidney TransplantationMolecular Diagnostic TechniquesGraft RejectionHumansKidneyKidney DiseasesMicroarray AnalysisPostoperative Complications

Identifiers

PMID27345248
OpenAlexW2471023686

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.