Evidence map›Paper›PMID 33110123›Full record

ArticleScientific reports2020

Defining the structural basis for human leukocyte antigen reactivity in clinical transplantation.

Yue Gu, Robynne W K Koh, May Ling Lai, Denise Pochinco, Rachel Z C Teo, Marieta Chan, Tanusya M Murali, Chong Wai Liew, Yee Hwa Wong, Nicholas R J Gascoigne and 5 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Dynamic Behaviour of Donor Specific Antibodies in the Early Period Following HLA Incompatible Kidney Transplantation.Transplant international : official journal of the European Society for Organ Transplantation · 2022
    Article
  5. 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

15 authors at 6 institutions in 3 countries.

Yue GuDepartment of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Robynne W K KohNational University Centre for Organ Transplantation (NUCOT), National University Hospital, Singapore, Singapore.
May Ling LaiCenter for Transfusion Medicine, Health Sciences Authority, Singapore, Singapore.
Denise PochincoTransplant Immunology Laboratory, Shared Health Inc., Winnipeg, MB, Canada.
Rachel Z C TeoNational University Centre for Organ Transplantation (NUCOT), National University Hospital, Singapore, Singapore.
Marieta ChanCenter for Transfusion Medicine, Health Sciences Authority, Singapore, Singapore.
Tanusya M MuraliDepartment of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Chong Wai LiewNTU Institute of Structural Biology, Nanyang Technological University, Singapore, Singapore.
Yee Hwa WongNTU Institute of Structural Biology, Nanyang Technological University, Singapore, Singapore.
Nicholas R J GascoigneDepartment of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Kathryn J WoodTransplantation Research Immunology Group, Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.
Julien LescarNTU Institute of Structural Biology, Nanyang Technological University, Singapore, Singapore.
Peter NickersonTransplant Immunology Laboratory, Shared Health Inc., Winnipeg, MB, Canada.
Paul A MacAryDepartment of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore. micpam@nus.edu.sg.
Anantharaman VathsalaNational University Centre for Organ Transplantation (NUCOT), National University Hospital, Singapore, Singapore. mdcva@nus.edu.sg.
National University of Singapore · SGNanyang Technological University · SGNational University Hospital · SGHealth Sciences Authority · SGManitoba Health · CAUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current state-of-the-art technology employed to assess anti-human leukocyte antigen antibodies (Anti-HLA Ab) for donor-recipient matching and patient risk stratification in renal transplantation is the single antigen bead (SAB) assay. However, there are limitations to the SAB assay as it is not quantitative and due to variations in techniques and reagents, there is no standardization across laboratories. In this study, a structurally-defined human monoclonal alloantibody was employed to provide a mechanistic explanation for how fundamental alloantibody biology influences the readout from the SAB assay. Performance of the clinical SAB assay was evaluated by altering Anti-HLA Ab concentration, subclass, and detection reagents. Tests were conducted in parallel by two internationally accredited laboratories using standardized protocols and reagents. We show that alloantibody concentration, subclass, laboratory-specific detection devices, subclass-specific detection reagents all contribute to a significant degree of variation in the readout. We report a significant prozone effect affecting HLA alleles that are bound strongly by the test alloantibody as opposed to those bound weakly and this phenomenon is independent of complement. These data highlight the importance for establishing international standards for SAB assay calibration and have significant implications for our understanding of discordance in previous studies that have analyzed its clinical relevance.

Indexed as

AlgorithmsAntibodies, MonoclonalHLA AntigensHumansMolecular StructureAntibodies, MonoclonalHLA Antigens

Identifiers

PMID33110123
PMCPMC7591533
OpenAlexW3094912309

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.