Evidence map›Paper›PMID 37033962›Full record

ArticleFrontiers in immunology2023

Molecular HLA mismatching for prediction of primary humoral alloimmunity and graft function deterioration in paediatric kidney transplantation.

Jon Jin Kim, Alexander Fichtner, Hannah C Copley, Loren Gragert, Caner Süsal, Luca Dello Strologo, Jun Oh, Lars Pape, Lutz T Weber, Marcus Weitz and 4 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.5field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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  5. Optimizing kidney allocation: challenges and solutions.Current opinion in organ transplantation · 2025
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 10 institutions in 4 countries.

Jon Jin KimDepartment of Surgery, University of Cambridge, Cambridge, United Kingdom.
Alexander FichtnerDepartment of Pediatrics I, University Children's Hospital Heidelberg, Heidelberg, Germany.
Hannah C CopleyDepartment of Surgery, University of Cambridge, Cambridge, United Kingdom.
Loren GragertSchool of Medicine, Tulane University, New Orleans, LA, United States.
Caner SüsalTransplantation Immunology, Institute of Immunology, University Hospital Heidelberg, Heidelberg, Germany.
Luca Dello StrologoRenal Transplant Unit Bambino Gesù, Children's Hospital, Rome, Italy.
Jun OhUniversity Hospital Hamburg, Pediatric Nephrology, Hamburg, Germany.
Lars PapeClinic for Paediatrics III, Essen University Hospital, Essen, Germany.
Lutz T WeberPediatric Nephrology, Children's and Adolescents' Hospital, University Hospital Cologne, Cologne, Germany.
Marcus WeitzUniversity Hospital Tübingen, Pediatric Nephrology, Tübingen, Germany.
Jens KönigDepartment of General Pediatrics, University Children's Hospital, Münster, Germany.
Kai KrupkaDepartment of Pediatrics I, University Children's Hospital Heidelberg, Heidelberg, Germany.
Burkhard TönshoffDepartment of Pediatrics I, University Children's Hospital Heidelberg, Heidelberg, Germany.
Vasilis KosmoliaptsisDepartment of Surgery, University of Cambridge, Cambridge, United Kingdom.
Heidelberg University · DEUniversity of Cambridge · GBBambino Gesù Children's Hospital · ITEssen University Hospital · DETulane University · USUniversität Hamburg · DEUniversity Children's Hospital Tübingen · DEUniversity Hospital Cologne · DEUniversity Hospital Heidelberg · DEUniversity Hospital Münster · DE

Funding

Department of Health NIHR203332Department of Health PDF-2016-09-065Medical Research Council MR/S006745/1Medical Research Council MR/V037900/1
6 · The paper itself

Abstract

Introduction: Rejection remains the main cause of allograft failure in paediatric kidney transplantation and is driven by donor-recipient HLA mismatching. Modern computational algorithms enable assessment of HLA mismatch immunogenicity at the molecular level (molecular-mismatch, molMM). Whilst molMM has been shown to correlate with alloimmune outcomes, evidence demonstrating improved prediction performance against traditional antigen mismatching (antMM) is lacking. Methods: We analysed 177 patients from the CERTAIN registry (median follow-up 4.5 years). molMM scores included Amino-Acid-Mismatch-Score (AAMS), Electrostatic-Mismatch-Score (EMS3D) and netMHCIIpan (netMHC1k: peptide binding affinity ≤1000 nM; netMHC: binding affinity ≤500 nM plus rank <2%). We stratified patients into high/low-risk groups based on risk models of DSA development. Results: Donor-specific HLA antibodies (DSA) predominantly targeted the highest scoring molMM donor antigen within each HLA locus. MolMM scores offered superior discrimination versus antMM in predicting Conclusion: Molecular mismatching was superior to antigen mismatching in predicting humoral alloimmunity. Molecular HLA-DQ mismatching appears to be a significant prognostic factor for graft function deterioration in paediatric kidney transplantation.

Indexed as

Kidney TransplantationAntibodiesChildHistocompatibility TestingHLA-DQ AntigensHumansRisk FactorsTransplantation, HomologousAntibodiesHLA-DQ Antigensantibody mediated rejection (ABMR)donor specific HLA antibodiesepletsHLA mismatchkidney transplantationmolecular mismatchpredictive modeling

Identifiers

PMID37033962
PMCPMC10080391
OpenAlexW4324378518

What OpenQuestion holds

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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.