Evidence map›Paper›PMID 41648506›Full record

ArticlebioRxiv : the preprint server for biology2026

Functional Convergence of Genetically Diverse B-Cell Receptors in Simian-HIV Infected Rhesus Macaques.

Shengli Song, Hui Li, Chen-Hao Yeh, Akiko Watanabe, Masayuki Kuraoka, Hongmei Gao, Xiaoying Shen, Celia C LaBranche, Wilton B Williams, Kevin O Saunders and 6 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Shengli SongDepartment of Integrative Immunobiology, Duke University School of Medicine, Durham, NC 27710, USA.ORCID 0000-0003-0507-5194
Hui LiDepartment of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0001-7231-8219
Chen-Hao YehDepartment of Integrative Immunobiology, Duke University School of Medicine, Durham, NC 27710, USA.ORCID 0000-0001-5801-2918
Akiko WatanabeDepartment of Integrative Immunobiology, Duke University School of Medicine, Durham, NC 27710, USA.
Masayuki KuraokaDepartment of Integrative Immunobiology, Duke University School of Medicine, Durham, NC 27710, USA.ORCID 0000-0001-8745-6614
Hongmei GaoDepartment of Surgery, Duke University School of Medicine, Durham, NC 27710, USA.ORCID 0000-0002-2468-8589
Xiaoying ShenDepartment of Surgery, Duke University School of Medicine, Durham, NC 27710, USA.ORCID 0000-0002-8387-3952
Celia C LaBrancheDepartment of Surgery, Duke University School of Medicine, Durham, NC 27710, USA.ORCID 0000-0002-6653-6655
Wilton B WilliamsDepartment of Integrative Immunobiology, Duke University School of Medicine, Durham, NC 27710, USA.ORCID 0000-0002-2970-7259
Kevin O SaundersDepartment of Integrative Immunobiology, Duke University School of Medicine, Durham, NC 27710, USA.ORCID 0000-0001-7399-7954
M Anthony MoodyDepartment of Integrative Immunobiology, Duke University School of Medicine, Durham, NC 27710, USA.ORCID 0000-0002-3890-5855
Kevin WieheDuke Human Vaccine Institute, Duke University School of Medicine, Durham, NC 27710, USA.ORCID 0000-0001-9933-9618
David C MontefioriDepartment of Surgery, Duke University School of Medicine, Durham, NC 27710, USA.ORCID 0000-0003-0856-6319
Barton F HaynesDepartment of Integrative Immunobiology, Duke University School of Medicine, Durham, NC 27710, USA.ORCID 0000-0002-7643-9023
George M ShawDepartment of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0002-2338-4532
Garnett KelsoeDepartment of Integrative Immunobiology, Duke University School of Medicine, Durham, NC 27710, USA.ORCID 0000-0002-8770-040X

Funding

Stuctural basis of bNab activityP01AI100148 · NIAID · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI Pamela J Bjorkman · 2013 to 2026
$43.3M
Virus and Antibody Gene Sequencing CoreP01AI131251 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI Kevin Wiehe · 2017 to 2026
$40.7M
Immunity to novel T/F SHIVs: variability in the co-evolution of virus and host immunityR01AI128832 · NIAID · DUKE UNIVERSITY · PI KELSOE, GARNETT H · 2017 to 2021
$5.4M
NIAID NIH HHS P01 AI100148NIAID NIH HHS P01 AI131251NIAID NIH HHS R01 AI128832
6 · The paper itself

Abstract

Germline-targeting or lineage-design vaccine strategies are being used to induce HIV broadly neutralizing antibody (bnAb) responses. These strategies assume that genetically diverse individuals respond similarly to the same immunogen by mobilizing comparable germline precursors, although outcomes vary across bnAb epitopes. Here we explored this premise using a simian-HIV infection model in rhesus macaques. Antigen-unbiased Env-reactive B-cell populations were profiled, followed by systematic analysis of antibody function and B-cell receptor (BCR) genetics. We find that while global Env-reactive B-cell response profiles and antibody functional properties are similar across individuals, underlying BCR genetics are diverse, particularly among non-bnAbs. These results indicate that functional convergence of Env-reactive antibody responses does not necessarily require genetic convergence and suggest that specific germline-targeting may not be an absolute prerequisite for successful vaccine design. These findings support an epitope-focused framework in which bnAb epitopes are engineered to enhance population-level immunogenicity, with potential applicability to other challenging pathogens.

Indexed as

B-cell receptor sequencingbroadly neutralizing antibodyepitope-focused vaccine designgerminal centergermline-targetingHIVimmunogen designindividualized germline databasesingle B-cell culturevaccine

Identifiers

PMID41648506
PMCPMC12871322

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.