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Record W4407351356 · doi:10.1128/jvi.01532-24

Activation of CXCR3 <sup>+</sup> Tfh cells and B cells in lymph nodes during acute HIV-1 infection correlates with HIV-specific antibody development

2025· article· en· W4407351356 on OpenAlexaff
Julie L. Mitchell, Supranee Buranapraditkun, Pierre Gantner, Hiroshi Takata, Kenneth A. Dietze, Kombo F. N’Guessan, Justin Pollara, Junsuke Nohara, Roshell Muir, Eugène Kroon, Suteeraporn Pinyakorn, Nicha Tulmethakaan, Sopark Manasnayakorn, Suthat Chottanapund, Pattarawat Thantiworasit, Peeriya Prueksakaew, Nisakorn Ratnaratorn, Suwanna Puttamaswin, Bessara Nuntapinit, Lawrence Fox, Elias K. Haddad, Dominic Paquin‐Proulx, Praphan Phanuphak, Carlo Sacdalan, Nittaya Phanuphak, Jintanat Ananworanich, Denise C. Hsu, Sandhya Vasan, Guido Ferrari, Nicolas Chomont, Lydie Trautmann

Bibliographic record

VenueJournal of Virology · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsCentre Hospitalier de l’Université de Montréal
FundersU.S. Military HIV Research ProgramNational Institute of Allergy and Infectious DiseasesNational Institute of Mental HealthNational Institutes of HealthFaculty of Medicine, Chulalongkorn UniversityU.S. Department of DefenseGilead SciencesChulalongkorn UniversityViiV HealthcareHenry M. Jackson Foundation
KeywordsGerminal centerAntibodyBiologyImmunologyCXCR3Lymph nodeLymphB cellVirologyImmune systemMedicinePathologyChemokine

Abstract

fetched live from OpenAlex

ABSTRACT Lymph node T follicular helper (Tfh) cells and germinal center (GC) B cells are critical to generate potent antibodies but are rarely possible to study in humans. To understand how Tfh/GC B-cell interactions during acute HIV-1 infection (AHI) impact the generation of HIV-specific antibodies, we performed a unique cross-sectional analysis of inguinal lymph node biopsies taken prior to antiretroviral therapy (ART) initiation in AHI. Although total Tfh and GC B cell frequencies did not change during AHI, increased frequencies of proliferating Th1-like CXCR3 + Tfh, CXCR3 + non-GC B cells, and total CXCR3 + GC B cells correlated with gp120-specific IgG antibody levels in AHI. Frequencies of proliferating CXCR3 + Tfh in AHI also correlated with gp120-specific IgG antibody levels after 48 weeks of ART, antibody-dependent cellular cytotoxicity, antibody-dependent cellular phagocytosis, and increased antibody binding to infected cells after ART. Importantly, while beneficial for antibody development, CXCR3 + Tfh cells were also infected by HIV-1 at higher frequencies than their CXCR3 − counterparts and may contribute to the initial dissemination of HIV-1 in follicles. Together, these data suggest that activation of CXCR3 + Tfh cells is associated with induction of the germinal center response and subsequent antibody development, making these cells an important target for future therapeutic interventions. IMPORTANCE Early initiation of antiretroviral therapy (ART) is important to limit the seeding of the long-lasting HIV-1 reservoir; however, it also precludes the development of HIV-specific antibodies that can help control the virus if ART is stopped. Antibody development occurs within germinal centers in the lymph node and requires activation of both antigen-specific B cells and T follicular helper cells (Tfh), a specialized CD4 + cell that provides B cell help. To understand how early ART initiation may prohibit antibody development, we analyzed the frequencies and activation status of Tfh and B cells in lymph node biopsies collected in the different stages of acute HIV-1 infection. Our data suggest that decreased antibody development after early ART initiation may be due to limited germinal center development at the time of treatment and that new interventions that target activation of CXCR3 + Tfh may be beneficial to increase long-term HIV-specific antibody levels.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.238
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2025
Admission routes1
Has abstractyes

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