Evidence map›Paper›PMID 40070832›Full record

ArticleFrontiers in immunology2025

Elaine Chou-Wu, Matthias Niemann, Danny Youngs, Idoia Gimferrer

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  4. Article
  5. Article
  6. Review
  7. Observational
  8. Review
  9. Article
  10. Review
  11. 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.

Elaine Chou-WuImmunogenetics/HLA Laboratory, Bloodworks Northwest, Seattle, WA, United States.
Matthias NiemannPIRCHE AG, Berlin, Germany.
Danny YoungsImmunogenetics/HLA Laboratory, Bloodworks Northwest, Seattle, WA, United States.
Idoia GimferrerImmunogenetics/HLA Laboratory, Bloodworks Northwest, Seattle, WA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The presence of Methods: In the present study, we utilized three HLA molecular mismatch assessment algorithms, Snow, HLAMatchmaker, and PIRCHE-II, to evaluate the independent and synergistic association of B cell and T cell epitope mismatches with dnDSA development in a cohort of 843 kidney transplant recipients. Results: Our results demonstrated that B cell and T cell epitope mismatches at HLA Class I and DRB1/DQB1 loci are remarkably increased in dnDSA-positive recipients, even after normalization by allele mismatch numbers in individual study subjects. Furthermore, elevated Snow, verified eplet mismatches, and PIRCHE-II scores are significantly associated with dnDSA occurrence individually and in combination. Conclusion: Our findings highlight the value of utilizing B cell and T cell epitope mismatch evaluation in living donor selection and immunological risk stratification to improve transplant outcomes.

Indexed as

B-LymphocytesHLA AntigensIsoantibodiesKidney TransplantationT-LymphocytesAdultEpitopes, B-LymphocyteEpitopes, T-LymphocyteFemaleGraft RejectionHistocompatibility TestingHumansMaleMiddle AgedRisk AssessmentEpitopes, B-LymphocyteEpitopes, T-LymphocyteHLA AntigensIsoantibodiesde novo DSAHLAMatchmakerHLA molecular mismatchkidney transplantationmajor histocompatibility complex (MHC)PIRCHE-IIrisk stratificationSnow

Identifiers

PMID40070832
PMCPMC11893832

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.