Landscape of Human Immunodeficiency Virus Neutralization Susceptibilities Across Tissue Reservoirs.


Journal

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
ISSN: 1537-6591
Titre abrégé: Clin Infect Dis
Pays: United States
ID NLM: 9203213

Informations de publication

Date de publication:
12 10 2022
Historique:
received: 10 09 2021
pubmed: 3 3 2022
medline: 15 10 2022
entrez: 2 3 2022
Statut: ppublish

Résumé

Human immunodeficiency virus type 1 (HIV-1) sequence diversity and the presence of archived epitope muta-tions in antibody binding sites are a major obstacle for the clinical application of broadly neutralizing antibodies (bNAbs) against HIV-1. Specifically, it is unclear to what degree the viral reservoir is compartmentalized and if virus susceptibility to antibody neutralization differs across tissues. The Last Gift cohort enrolled 7 people with HIV diagnosed with a terminal illness and collected antemortem blood and postmortem tissues across 33 anatomical compartments for near full-length env HIV genome sequencing. Using these data, we applied a Bayesian machine-learning model (Markov chain Monte Carlo-support vector machine) that uses HIV-1 envelope sequences and approximated glycan-occupancy information to quantitatively predict the half-maximal inhib-itory concentrations (IC50) of bNAbs, allowing us to map neutralization resistance pattern across tissue reservoirs. Predicted mean susceptibilities across tissues within participants were relatively homogenous, and the susceptibility pattern observed in blood often matched what was predicted for tissues. However, selected tissues, such as the brain, showed ev-idence of compartmentalized viral populations with distinct neutralization susceptibilities in some participants. Additionally, we found substantial heterogeneity in the range of neutralization susceptibilities across tissues within and between indi-viduals, and between bNAbs within individuals (standard deviation of log2(IC50) >3.4). Blood-based screening methods to determine viral susceptibility to bNAbs might underestimate the presence of resistant viral variants in tissues. The extent to which these resistant viruses are clinically relevant, that is, lead to bNAb therapeutic failure, needs to be further explored.

Sections du résumé

BACKGROUND
Human immunodeficiency virus type 1 (HIV-1) sequence diversity and the presence of archived epitope muta-tions in antibody binding sites are a major obstacle for the clinical application of broadly neutralizing antibodies (bNAbs) against HIV-1. Specifically, it is unclear to what degree the viral reservoir is compartmentalized and if virus susceptibility to antibody neutralization differs across tissues.
METHODS
The Last Gift cohort enrolled 7 people with HIV diagnosed with a terminal illness and collected antemortem blood and postmortem tissues across 33 anatomical compartments for near full-length env HIV genome sequencing. Using these data, we applied a Bayesian machine-learning model (Markov chain Monte Carlo-support vector machine) that uses HIV-1 envelope sequences and approximated glycan-occupancy information to quantitatively predict the half-maximal inhib-itory concentrations (IC50) of bNAbs, allowing us to map neutralization resistance pattern across tissue reservoirs.
RESULTS
Predicted mean susceptibilities across tissues within participants were relatively homogenous, and the susceptibility pattern observed in blood often matched what was predicted for tissues. However, selected tissues, such as the brain, showed ev-idence of compartmentalized viral populations with distinct neutralization susceptibilities in some participants. Additionally, we found substantial heterogeneity in the range of neutralization susceptibilities across tissues within and between indi-viduals, and between bNAbs within individuals (standard deviation of log2(IC50) >3.4).
CONCLUSIONS
Blood-based screening methods to determine viral susceptibility to bNAbs might underestimate the presence of resistant viral variants in tissues. The extent to which these resistant viruses are clinically relevant, that is, lead to bNAb therapeutic failure, needs to be further explored.

Identifiants

pubmed: 35234862
pii: 6541151
doi: 10.1093/cid/ciac164
pmc: PMC9555844
doi:

Substances chimiques

Antibodies, Neutralizing 0
Broadly Neutralizing Antibodies 0
Epitopes 0
HIV Antibodies 0
Polysaccharides 0
env Gene Products, Human Immunodeficiency Virus 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1342-1350

Subventions

Organisme : NIH HHS
ID : P01 AI131385
Pays : United States
Organisme : NIAID NIH HHS
ID : U01 AI145801
Pays : United States
Organisme : NIDA NIH HHS
ID : DP2 DA051915
Pays : United States
Organisme : NIAID NIH HHS
ID : P01 AI169609
Pays : United States
Organisme : NIMH NIH HHS
ID : R33 MH112360
Pays : United States
Organisme : NIAID NIH HHS
ID : P30 AI036214
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI138790
Pays : United States
Organisme : NIAID NIH HHS
ID : P30 AI060354
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK131532
Pays : United States
Organisme : NIMH NIH HHS
ID : P30 MH062512
Pays : United States
Organisme : NINDS NIH HHS
ID : K02 NS097146
Pays : United States

Informations de copyright

© The Author(s) 2022. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.

Déclaration de conflit d'intérêts

Potential conflicts of interest. B. J. reports stock or stock options in Gilead Sciences. D. M. S. reports consulting fees from Arena Pharmaceuticals, Bayer, Matrix Biomed, and Model Medicines; payment or honoraria from IAS USA, Medscape, and Kiadis; and stock or stock options from Linear Therapies (Vx Biosciences), Model Medicines, and Fluxergy. C. S. T. reports an NIH grant (MH112360) unrelated to the study. All remaining authors: No reported conflicts of interest. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.

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Auteurs

Chuangqi Wang (C)

Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.

Timothy E Schlub (TE)

University of Sydney, Faculty of Medicine and Health, Sydney School of Public Health, Sydney, New South Wales, Australia.

Wen Han Yu (WH)

Bill & Melinda Gates Medical Research Institute, Cambridge, Massachusetts, USA.

C Sabrina Tan (CS)

Division of Infectious Diseases, Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.

Karl Stefic (K)

Department of Virology, Tours University Hospital, Tours, France.

Sara Gianella (S)

Division of Infectious Diseases and Global Public Health, University of California-San Diego, San Diego, California, USA.

Davey M Smith (DM)

Division of Infectious Diseases and Global Public Health, University of California-San Diego, San Diego, California, USA.
VA San Diego Healthcare System, San Diego, California, USA.

Douglas A Lauffenburger (DA)

Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.

Antoine Chaillon (A)

Division of Infectious Diseases and Global Public Health, University of California-San Diego, San Diego, California, USA.

Boris Julg (B)

Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard University, Cambridge, Massachusetts, USA.

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