Circulating immune and plasma biomarkers of time to HIV rebound in HIV controllers treated with vesatolimod.


Journal

Frontiers in immunology
ISSN: 1664-3224
Titre abrégé: Front Immunol
Pays: Switzerland
ID NLM: 101560960

Informations de publication

Date de publication:
2024
Historique:
received: 22 03 2024
accepted: 03 06 2024
medline: 9 7 2024
pubmed: 9 7 2024
entrez: 9 7 2024
Statut: epublish

Résumé

Antiretroviral therapy (ART) for HIV-1 treatment has improved lifespan but requires lifelong adherence for people living with HIV (PLWH), highlighting the need for a cure. Evaluation of potential cure strategies requires analytic treatment interruption (ATI) with close monitoring of viral rebound. Predictive biomarkers for HIV-1 rebound and/or duration of control during ATI will facilitate these HIV cure trials while minimizing risks. Available evidence suggests that host immune, glycomic, lipid, and metabolic markers of inflammation may be associated with HIV-1 persistence in PLWH who are treated during chronic HIV-1 infection. We conducted Higher levels of CD69+CD8+ T-cells were consistently associated with shorter time to HIV-1 rebound at baseline and pre-ATI. With few exceptions, baseline fucosylated, non-galactosylated, non-sialylated, bisecting IgG N-glycans were associated with shorter time to HIV rebound and duration of control as with previous studies. Baseline plasma MPA and HPA binding glycans and non-galactosylated/non-sialylated glycans were associated with longer time to HIV rebound, while baseline multiply-galactosylated glycans and sialylated glycans, GNA-binding glycans, NPA-binding glycans, WGA-binding glycans, and bisecting GlcNAc glycans were associated with shorter time to HIV rebound and duration of control. Fourteen bioactive lipids had significant baseline associations with longer time to rebound and duration of control, and larger intact proviral HIV-1 DNA changes; additionally, three baseline bioactive lipids were associated with shorter time to first rebound and duration of control. Consistent with studies in HIV non-controllers, proinflammatory glycans, lipids, and metabolites were generally associated with shorter duration of HIV-1 control. Notable differences were observed between HIV controllers vs. non-controllers in some specific markers. For the first time, exploratory biomarkers of ATI viral outcomes in HIV-controllers were investigated but require further validation.

Sections du résumé

Background UNASSIGNED
Antiretroviral therapy (ART) for HIV-1 treatment has improved lifespan but requires lifelong adherence for people living with HIV (PLWH), highlighting the need for a cure. Evaluation of potential cure strategies requires analytic treatment interruption (ATI) with close monitoring of viral rebound. Predictive biomarkers for HIV-1 rebound and/or duration of control during ATI will facilitate these HIV cure trials while minimizing risks. Available evidence suggests that host immune, glycomic, lipid, and metabolic markers of inflammation may be associated with HIV-1 persistence in PLWH who are treated during chronic HIV-1 infection.
Methods UNASSIGNED
We conducted
Results UNASSIGNED
Higher levels of CD69+CD8+ T-cells were consistently associated with shorter time to HIV-1 rebound at baseline and pre-ATI. With few exceptions, baseline fucosylated, non-galactosylated, non-sialylated, bisecting IgG N-glycans were associated with shorter time to HIV rebound and duration of control as with previous studies. Baseline plasma MPA and HPA binding glycans and non-galactosylated/non-sialylated glycans were associated with longer time to HIV rebound, while baseline multiply-galactosylated glycans and sialylated glycans, GNA-binding glycans, NPA-binding glycans, WGA-binding glycans, and bisecting GlcNAc glycans were associated with shorter time to HIV rebound and duration of control. Fourteen bioactive lipids had significant baseline associations with longer time to rebound and duration of control, and larger intact proviral HIV-1 DNA changes; additionally, three baseline bioactive lipids were associated with shorter time to first rebound and duration of control.
Conclusion UNASSIGNED
Consistent with studies in HIV non-controllers, proinflammatory glycans, lipids, and metabolites were generally associated with shorter duration of HIV-1 control. Notable differences were observed between HIV controllers vs. non-controllers in some specific markers. For the first time, exploratory biomarkers of ATI viral outcomes in HIV-controllers were investigated but require further validation.

Identifiants

pubmed: 38979421
doi: 10.3389/fimmu.2024.1405348
pmc: PMC11229794
doi:

Substances chimiques

Biomarkers 0
Anti-HIV Agents 0
RNA, Viral 0

Types de publication

Journal Article Clinical Trial, Phase I Randomized Controlled Trial

Langues

eng

Sous-ensembles de citation

IM

Pagination

1405348

Informations de copyright

Copyright © 2024 Abdel-Mohsen, Deeks, Giron, Hong, Goldman, Zhang, Huang, Verrill, Guo, Selzer, de Vries, Vendrame, SenGupta, Wallin and Cai.

Déclaration de conflit d'intérêts

SD reports grants from NIH; consulting fees from AbbVie, Eli Lilly, GlaxoSmithKline, and Immunocore; and stock in Enochian Biosciences and Tendel Therapies. LZ, SH, DV, SG, LS, CdV, EV, DS, JW, and YC report employment by and stock in Gilead Sciences, Inc. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The authors declare that this study received funding from Gilead Sciences, Inc. The funder was involved in the study design, data collection, analysis and interpretation of data, preparation of the manuscript, and the decision to submit it for publication.

Auteurs

Mohamed Abdel-Mohsen (M)

Vaccine and Immunotherapy Center, The Wistar Institute, Philadelphia, PA, United States.

Steven Deeks (S)

Department of Medicine, University of California, San Francisco, San Francisco, CA, United States.

Leila Giron (L)

Vaccine and Immunotherapy Center, The Wistar Institute, Philadelphia, PA, United States.

Kai Ying Hong (KY)

Vaccine and Immunotherapy Center, The Wistar Institute, Philadelphia, PA, United States.

Aaron Goldman (A)

Molecular and Cellular Oncogenesis Program, The Wistar Institute, Philadelphia, PA, United States.

Liao Zhang (L)

Clinical Bioinformatics and Exploratory Analytics, Gilead Sciences, Inc., Foster City, CA, United States.

Susie S Y Huang (SSY)

Clinical Bioinformatics and Exploratory Analytics, Gilead Sciences, Inc., Foster City, CA, United States.

Donovan Verrill (D)

Statistical Programming, Gilead Sciences, Inc., Foster City, CA, United States.

Susan Guo (S)

Biostatistics, Gilead Sciences, Inc., Foster City, CA, United States.

Lisa Selzer (L)

Clinical Virology, Gilead Sciences, Inc., Foster City, CA, United States.

Christiaan R de Vries (CR)

Clinical Development, Gilead Sciences, Inc., Foster City, CA, United States.

Elena Vendrame (E)

Clinical Development, Gilead Sciences, Inc., Foster City, CA, United States.

Devi SenGupta (D)

Clinical Development, Gilead Sciences, Inc., Foster City, CA, United States.

Jeffrey J Wallin (JJ)

Biomarker Sciences and Diagnostics, Gilead Sciences, Inc., Foster City, CA, United States.

Yanhui Cai (Y)

Biomarker Sciences and Diagnostics, Gilead Sciences, Inc., Foster City, CA, United States.

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Classifications MeSH