Evidence map›Paper›PMID 40522199›Full record

ArticleHLA2025

Belimumab to Aid Pre-Transplant Immunological Risk-Stratification by Uncovering Broader HLA-Specific Memory B-Cell Profiles.

Dennis A J van den Broek, Gonca E Karahan, Soufian Meziyerh, Yvonne de Vaal, Kim H Bakker, Geert W Haasnoot, Joris I Rotmans, Y K Onno Teng, Cees van Kooten, Sebastiaan Heidt and 2 more

Abstract read
In one paragraph

Article in HLA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Dennis A J van den BroekDivision of Nephrology, Department of Internal Medicine, Leiden University Medical Center (LUMC), Leiden University, Leiden, the Netherlands.ORCID 0000-0001-7135-4752
Gonca E KarahanDepartment of Immunology, HLA Laboratory, Leiden University Medical Center (LUMC), Leiden, the Netherlands.ORCID 0000-0001-5339-7126
Soufian MeziyerhDivision of Nephrology, Department of Internal Medicine, Leiden University Medical Center (LUMC), Leiden University, Leiden, the Netherlands.ORCID 0000-0001-7694-8381
Yvonne de VaalLeiden Transplant Center, Leiden University Medical Center, Leiden University, Leiden, the Netherlands.ORCID 0000-0003-2961-9360
Kim H BakkerLeiden Transplant Center, Leiden University Medical Center, Leiden University, Leiden, the Netherlands.
Geert W HaasnootDepartment of Immunology, HLA Laboratory, Leiden University Medical Center (LUMC), Leiden, the Netherlands.ORCID 0009-0007-3395-7211
Joris I RotmansDivision of Nephrology, Department of Internal Medicine, Leiden University Medical Center (LUMC), Leiden University, Leiden, the Netherlands.ORCID 0000-0001-9682-6234
Y K Onno TengDivision of Nephrology, Department of Internal Medicine, Leiden University Medical Center (LUMC), Leiden University, Leiden, the Netherlands.ORCID 0000-0001-9920-2195
Cees van KootenDivision of Nephrology, Department of Internal Medicine, Leiden University Medical Center (LUMC), Leiden University, Leiden, the Netherlands.ORCID 0000-0002-6257-0899
Sebastiaan HeidtDepartment of Immunology, HLA Laboratory, Leiden University Medical Center (LUMC), Leiden, the Netherlands.ORCID 0000-0002-6700-188X
Dave L RoelenLeiden Transplant Center, Leiden University Medical Center, Leiden University, Leiden, the Netherlands.ORCID 0000-0002-1846-1193
Aiko P J de VriesDivision of Nephrology, Department of Internal Medicine, Leiden University Medical Center (LUMC), Leiden University, Leiden, the Netherlands.ORCID 0000-0002-9284-3595

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Highly sensitised kidney transplant candidates face substantial barriers to transplantation due to limited donor compatibility. Delisting unacceptable antigens with detectable HLA-specific antibodies can improve transplant access. It is, however, challenging to determine which specificities are safe to delist. Assessment of circulating HLA-specific memory B-cells may support risk stratification. However, current methodologies are limited by the predominant localisation of memory B-cells in secondary lymphoid organs and thus by potential false negativity. BAFF inhibitors, such as belimumab, mobilise memory B-cells into the circulation, which could reduce false-negative evaluations and improve pretransplant risk stratification. We administered off-label treatment with 200 mg of subcutaneous belimumab weekly for 4 weeks to seven highly sensitised patients with limited allocation probability. The clinical aim was to safely increase allocation probability by selectively delisting unacceptable HLA-specificities without detectable B-cell memory. HLA-specific memory B-cell profiles were assessed before and after treatment, revealing significantly broader HLA-specific memory B-cell profiles after belimumab in addition to a significant increase of HLA-antibody MFI in the eluate of stimulated memory B-cells. This strategy may pave the way for a new paradigm in pretransplant immunological risk-stratification, allowing improved assessment of HLA-specific memory B-cell profiles, which could potentially limit the risk of memory responses.

Indexed as

Antibodies, Monoclonal, HumanizedB-LymphocytesGraft RejectionHLA AntigensImmunologic MemoryImmunosuppressive AgentsKidney TransplantationMemory B CellsAdultB-Cell Activating FactorFemaleHistocompatibility TestingHumansIsoantibodiesMaleMiddle AgedAntibodies, Monoclonal, HumanizedB-Cell Activating FactorbelimumabHLA AntigensImmunosuppressive AgentsIsoantibodiesantibody‐mediated rejectionBAFF inhibitionhighly‐sensitisedHLA‐antibodyHLA‐specific memory B‐cellrenal transplantationrisk‐stratification

Identifiers

PMID40522199
PMCPMC12169098

What OpenQuestion holds

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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.