Evidence map›Paper›PMID 33193383›Full record

ArticleFrontiers in immunology2020

Low Hydrophobic Mismatch Scores Calculated for HLA-A/B/DR/DQ Loci Improve Kidney Allograft Survival.

Dulat Bekbolsynov, Beata Mierzejewska, Jadwiga Borucka, Robert S Liwski, Anna L Greenshields, Joshua Breidenbach, Bradley Gehring, Shravan Leonard-Murali, Sadik A Khuder, Michael Rees and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Belatacept with time-limited tacrolimus coimmunosuppression modifies the 3-year risk of eplet mismatch in kidney transplantation.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2024
    Article
  4. Article
  5. Article
  6. 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

12 authors at 5 institutions in 2 countries.

Dulat BekbolsynovDepartment of Medical Microbiology and Immunology, University of Toledo, Toledo, OH, United States.
Beata MierzejewskaDepartment of Medical Microbiology and Immunology, University of Toledo, Toledo, OH, United States.
Jadwiga BoruckaParexel International, Warsaw, Poland.
Robert S LiwskiDepartment of Pathology, Dalhousie University, Halifax, NS, Canada.
Anna L GreenshieldsDepartment of Pathology, Dalhousie University, Halifax, NS, Canada.
Joshua BreidenbachDepartment of Medical Microbiology and Immunology, University of Toledo, Toledo, OH, United States.
Bradley GehringDepartment of Medical Microbiology and Immunology, University of Toledo, Toledo, OH, United States.
Shravan Leonard-MuraliDepartment of Surgery, Henry Ford Hospital, Detroit, MI, United States.
Sadik A KhuderDepartment of Medicine and Public Health, University of Toledo, Toledo, OH, United States.
Michael ReesDepartment of Medical Microbiology and Immunology, University of Toledo, Toledo, OH, United States.
Robert C GreenDepartment of Computer Science, Bowling Green State University, Bowling Green, OH, United States.
Stanislaw M StepkowskiDepartment of Medical Microbiology and Immunology, University of Toledo, Toledo, OH, United States.
University of Toledo Medical Center · USDalhousie University · CABowling Green State University · USHenry Ford Hospital · USUniversity of Toledo · US

Funding

Postdoctoral Research Training in Biotherapy of CancerT32CA113263 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Udai S Kammula · 2006 to 2026
$3.6M
Machine Learning and Network Science for Predicting Kidney Transplant Survival R01LM013311 · NLM · UNIVERSITY OF TOLEDO · PI STEPKOWSKI, STANISLAW M, XU, KEVIN SHUAI · 2019 to 2021
$830k
NCI NIH HHS T32 CA113263NLM NIH HHS R01 LM013311
6 · The paper itself

Abstract

We evaluated the impact of human leukocyte antigen (HLA) disparity (immunogenicity; IM) on long-term kidney allograft survival. The IM was quantified based on physicochemical properties of the polymorphic linear donor/recipient HLA amino acids (the Cambridge algorithm) as a hydrophobic, electrostatic, amino acid mismatch scores (HMS\AMS\EMS) or eplet mismatch (EpMM) load. High-resolution HLA-A/B/DRB1/DQB1 types were imputed to calculate HMS for primary/re-transplant recipients of deceased donor transplants. The multiple Cox regression showed the association of HMS with graft survival and other confounders. The HMS integer 0-10 scale showed the most survival benefit between HMS 0 and 3. The Kaplan-Meier analysis showed that: the HMS=0 group had 18.1-year median graft survival, a 5-year benefit over HMS>0 group; HMS ≤ 3.0 had 16.7-year graft survival, a 3.8-year better than HMS>3.0 group; and, HMS ≤ 7.8 had 14.3-year grafts survival, a 1.8-year improvement over HMS>7.8 group. Stratification based on EMS, AMS or EpMM produced similar results. Additionally, the importance of HLA-DR with/without -DQ IM for graft survival was shown. In our simulation of 1,000 random donor/recipient pairs, 75% with HMS>3.0 were re-matched into HMS ≤ 3.0 and the remaining 25% into HMS≥7.8: after re-matching, the 13.5 years graft survival would increase to 16.3 years. This approach matches donors to recipients with low/medium IM donors thus preventing transplants with high IM donors.

Indexed as

Kidney TransplantationAdolescentAdultAgedAllograftsAmino AcidsFemaleGenetic LociGraft RejectionGraft SurvivalHistocompatibility TestingHLA-A AntigensHLA-B AntigensHLA-DQ AntigensHLA-DR AntigensHumansAmino AcidsHLA-A AntigensHLA-B AntigensHLA-DQ AntigensHLA-DR AntigensHLA mismatchhuman leukocyte antigen (HLA)immunogenicitykidney allocationkidney transplantationtransplant survival

Identifiers

PMID33193383
PMCPMC7659444
OpenAlexW3096258474

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.