Evidence map›Paper›PMID 39415982›Full record

ReviewFrontiers in genetics2024

Improving long-term kidney allograft survival by rethinking HLA compatibility: from molecular matching to non-HLA genes.

Aprajita Mattoo, Ian S Jaffe, Brendan Keating, Robert A Montgomery, Massimo Mangiola

Abstract readReview
In one paragraph

Review in Frontiers in genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Genome-wide donor-recipient non-HLA mismatch and graft loss.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2025
    Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Novel Allocation Strategies Can Boost Kidney Exchange Programs: A Monte Carlo Simulation.Transplant international : official journal of the European Society for Organ Transplantation · 2026
    Article
  8. Article
  9. Review
  10. Review
  11. Optimizing kidney allocation: challenges and solutions.Current opinion in organ transplantation · 2025
    Review
  12. Review
  13. 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

5 authors.

Aprajita Mattoo *NYU Langone Transplant Institute, New York University Langone Health, New York, NY, United States.
Ian S Jaffe *NYU Langone Transplant Institute, New York University Langone Health, New York, NY, United States.
Brendan KeatingNYU Langone Transplant Institute, New York University Langone Health, New York, NY, United States.
Robert A MontgomeryNYU Langone Transplant Institute, New York University Langone Health, New York, NY, United States.
Massimo MangiolaNYU Langone Transplant Institute, New York University Langone Health, New York, NY, United States.

Funding

Project-005UL1TR001445 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BREDELLA, MIRIAM ANTOINETTE, HOCHMAN, JUDITH S · 2015 to 2025
$103.5M
NCATS NIH HHS UL1 TR001445
6 · The paper itself

Abstract

Optimizing immunologic compatibility in organ transplantation extends beyond the conventional approach of Human Leukocyte Antigen (HLA) antigen matching, which exhibits significant limitations. A broader comprehension of the roles of classical and non-classical HLA genes in transplantation is imperative for enhancing long-term graft survival. High-resolution molecular HLA genotyping, despite its inherent challenges, has emerged as the cornerstone for precise patient-donor compatibility assessment. Leveraging understanding of eplet biology and indirect immune activation, eplet mismatch calculators and the PIRCHE-II algorithm surpass traditional methods in predicting allograft rejection. Understanding minor histocompatibility antigens may also present an opportunity to personalize the compatibility process. While the application of molecular matching in deceased donor organ allocation presents multiple technical, logistical, and conceptual barriers, rendering it premature for mainstream use, several other areas of donor-recipient matching and post-transplant management are ready to incorporate molecular matching. Provision of molecular mismatch scores to physicians during potential organ offer evaluations could potentially amplify long-term outcomes. The implementation of molecular matching in living organ donation and kidney paired exchange programs is similarly viable. This article will explore the current understanding of immunologic matching in transplantation and the potential applications of epitope and non-epitope molecular biology and genetics in clinical transplantation.

Indexed as

epleteplet registryHLAMatchmakerkidney paired exchangekidney transplantnon-classical HLAnon-HLA genesPIRCHE-II

Identifiers

PMID39415982
PMCPMC11480002

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.