Pre-existing resistance in the latent reservoir can compromise VRC01 therapy during chronic HIV-1 infection
Passive immunization with broadly neutralizing antibodies (bNAbs) of HIV-1 appears a promising strategy for eliciting long-term HIV-1 remission. When administered concomitantly with the cessation of antiretroviral therapy (ART) to patients with established viremic control, bNAb therapy is expected t...
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description | Passive immunization with broadly neutralizing antibodies (bNAbs) of HIV-1 appears a promising strategy for eliciting long-term HIV-1 remission. When administered concomitantly with the cessation of antiretroviral therapy (ART) to patients with established viremic control, bNAb therapy is expected to prolong remission. Surprisingly, in clinical trials on chronic HIV-1 patients, the bNAb VRC01 failed to prolong remission substantially. Identifying the cause of this failure is important for improving VRC01-based therapies and unraveling potential vulnerabilities of other bNAbs. In the trials, viremia resurged rapidly in most patients despite suppressive VRC01 concentrations in circulation, suggesting that VRC01 resistance was the likely cause of failure. ART swiftly halts viral replication, precluding the development of resistance during ART. If resistance were to emerge post ART, virological breakthrough would have taken longer than without VRC01 therapy. We hypothesized therefore that VRC01-resistant strains must have been formed before ART initiation, survived ART in latently infected cells, and been activated during VRC01 therapy, causing treatment failure. Current assays preclude testing this hypothesis experimentally. We developed a mathematical model based on the hypothesis and challenged it with available clinical data. The model integrated within-host HIV-1 evolution, stochastic latency reactivation, and viral dynamics with multiple-dose VRC01 pharmacokinetics. The model predicted that single but not higher VRC01-resistant mutants would pre-exist in the latent reservoir. We constructed a virtual patient population that parsimoniously recapitulated inter-patient variations. Model predictions with this population quantitatively captured data of VRC01 failure from clinical trials, presenting strong evidence supporting the hypothesis. We attributed VRC01 failure to single-mutant VRC01-resistant proviruses in the latent reservoir triggering viral recrudescence, particularly when VRC01 was at trough levels. Pre-existing resistant proviruses in the latent reservoir may similarly compromise other bNAbs. Our study provides a framework for designing bNAb-based therapeutic protocols that would avert such failure and maximize HIV-1 remission. |
doi_str_mv | 10.1371/journal.pcbi.1008434 |
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When administered concomitantly with the cessation of antiretroviral therapy (ART) to patients with established viremic control, bNAb therapy is expected to prolong remission. Surprisingly, in clinical trials on chronic HIV-1 patients, the bNAb VRC01 failed to prolong remission substantially. Identifying the cause of this failure is important for improving VRC01-based therapies and unraveling potential vulnerabilities of other bNAbs. In the trials, viremia resurged rapidly in most patients despite suppressive VRC01 concentrations in circulation, suggesting that VRC01 resistance was the likely cause of failure. ART swiftly halts viral replication, precluding the development of resistance during ART. If resistance were to emerge post ART, virological breakthrough would have taken longer than without VRC01 therapy. We hypothesized therefore that VRC01-resistant strains must have been formed before ART initiation, survived ART in latently infected cells, and been activated during VRC01 therapy, causing treatment failure. Current assays preclude testing this hypothesis experimentally. We developed a mathematical model based on the hypothesis and challenged it with available clinical data. The model integrated within-host HIV-1 evolution, stochastic latency reactivation, and viral dynamics with multiple-dose VRC01 pharmacokinetics. The model predicted that single but not higher VRC01-resistant mutants would pre-exist in the latent reservoir. We constructed a virtual patient population that parsimoniously recapitulated inter-patient variations. Model predictions with this population quantitatively captured data of VRC01 failure from clinical trials, presenting strong evidence supporting the hypothesis. We attributed VRC01 failure to single-mutant VRC01-resistant proviruses in the latent reservoir triggering viral recrudescence, particularly when VRC01 was at trough levels. Pre-existing resistant proviruses in the latent reservoir may similarly compromise other bNAbs. Our study provides a framework for designing bNAb-based therapeutic protocols that would avert such failure and maximize HIV-1 remission.</description><identifier>ISSN: 1553-7358</identifier><identifier>ISSN: 1553-734X</identifier><identifier>EISSN: 1553-7358</identifier><identifier>DOI: 10.1371/journal.pcbi.1008434</identifier><identifier>PMID: 33253162</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Analysis ; Antibodies, Monoclonal - therapeutic use ; Antiretroviral drugs ; Antiretroviral therapy ; Binding sites ; Biology and Life Sciences ; Broadly Neutralizing Antibodies - therapeutic use ; Chronic infection ; Clinical trials ; Disease Reservoirs ; Dosage and administration ; Drug resistance ; Drug Resistance, Viral ; Drug therapy ; HIV ; HIV antibodies ; HIV Antibodies - therapeutic use ; HIV infections ; HIV Infections - therapy ; HIV-1 - immunology ; Human immunodeficiency virus ; Humans ; Hypotheses ; Infections ; Mathematical models ; Medicine and Health Sciences ; Mutation ; Optimization ; Patients ; Physiological aspects ; Remission ; Reproducibility of Results ; Research and Analysis Methods ; Risk factors ; Simulation ; Stochastic models ; Stochasticity ; Viral drug resistance ; Virus Latency</subject><ispartof>PLoS computational biology, 2020-11, Vol.16 (11), p.e1008434</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Saha, Dixit. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 Saha, Dixit 2020 Saha, Dixit</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c661t-46bd32fbb0081998d1acec345a2412225e521c68be8abf11a454b8c302515b5c3</citedby><cites>FETCH-LOGICAL-c661t-46bd32fbb0081998d1acec345a2412225e521c68be8abf11a454b8c302515b5c3</cites><orcidid>0000-0002-2145-9828</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7728175/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7728175/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33253162$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Kouyos, Roger Dimitri</contributor><creatorcontrib>Saha, Ananya</creatorcontrib><creatorcontrib>Dixit, Narendra M</creatorcontrib><title>Pre-existing resistance in the latent reservoir can compromise VRC01 therapy during chronic HIV-1 infection</title><title>PLoS computational biology</title><addtitle>PLoS Comput Biol</addtitle><description>Passive immunization with broadly neutralizing antibodies (bNAbs) of HIV-1 appears a promising strategy for eliciting long-term HIV-1 remission. When administered concomitantly with the cessation of antiretroviral therapy (ART) to patients with established viremic control, bNAb therapy is expected to prolong remission. Surprisingly, in clinical trials on chronic HIV-1 patients, the bNAb VRC01 failed to prolong remission substantially. Identifying the cause of this failure is important for improving VRC01-based therapies and unraveling potential vulnerabilities of other bNAbs. In the trials, viremia resurged rapidly in most patients despite suppressive VRC01 concentrations in circulation, suggesting that VRC01 resistance was the likely cause of failure. ART swiftly halts viral replication, precluding the development of resistance during ART. If resistance were to emerge post ART, virological breakthrough would have taken longer than without VRC01 therapy. We hypothesized therefore that VRC01-resistant strains must have been formed before ART initiation, survived ART in latently infected cells, and been activated during VRC01 therapy, causing treatment failure. Current assays preclude testing this hypothesis experimentally. We developed a mathematical model based on the hypothesis and challenged it with available clinical data. The model integrated within-host HIV-1 evolution, stochastic latency reactivation, and viral dynamics with multiple-dose VRC01 pharmacokinetics. The model predicted that single but not higher VRC01-resistant mutants would pre-exist in the latent reservoir. We constructed a virtual patient population that parsimoniously recapitulated inter-patient variations. Model predictions with this population quantitatively captured data of VRC01 failure from clinical trials, presenting strong evidence supporting the hypothesis. We attributed VRC01 failure to single-mutant VRC01-resistant proviruses in the latent reservoir triggering viral recrudescence, particularly when VRC01 was at trough levels. Pre-existing resistant proviruses in the latent reservoir may similarly compromise other bNAbs. Our study provides a framework for designing bNAb-based therapeutic protocols that would avert such failure and maximize HIV-1 remission.</description><subject>Analysis</subject><subject>Antibodies, Monoclonal - therapeutic use</subject><subject>Antiretroviral drugs</subject><subject>Antiretroviral therapy</subject><subject>Binding sites</subject><subject>Biology and Life Sciences</subject><subject>Broadly Neutralizing Antibodies - therapeutic use</subject><subject>Chronic infection</subject><subject>Clinical trials</subject><subject>Disease Reservoirs</subject><subject>Dosage and administration</subject><subject>Drug resistance</subject><subject>Drug Resistance, Viral</subject><subject>Drug therapy</subject><subject>HIV</subject><subject>HIV antibodies</subject><subject>HIV Antibodies - therapeutic use</subject><subject>HIV infections</subject><subject>HIV Infections - therapy</subject><subject>HIV-1 - immunology</subject><subject>Human immunodeficiency 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resistance in the latent reservoir can compromise VRC01 therapy during chronic HIV-1 infection</title><author>Saha, Ananya ; Dixit, Narendra M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c661t-46bd32fbb0081998d1acec345a2412225e521c68be8abf11a454b8c302515b5c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Analysis</topic><topic>Antibodies, Monoclonal - therapeutic use</topic><topic>Antiretroviral drugs</topic><topic>Antiretroviral therapy</topic><topic>Binding sites</topic><topic>Biology and Life Sciences</topic><topic>Broadly Neutralizing Antibodies - therapeutic use</topic><topic>Chronic infection</topic><topic>Clinical trials</topic><topic>Disease Reservoirs</topic><topic>Dosage and administration</topic><topic>Drug resistance</topic><topic>Drug Resistance, Viral</topic><topic>Drug therapy</topic><topic>HIV</topic><topic>HIV antibodies</topic><topic>HIV Antibodies 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Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PLoS computational biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Saha, Ananya</au><au>Dixit, Narendra M</au><au>Kouyos, Roger Dimitri</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Pre-existing resistance in the latent reservoir can compromise VRC01 therapy during chronic HIV-1 infection</atitle><jtitle>PLoS computational biology</jtitle><addtitle>PLoS Comput Biol</addtitle><date>2020-11-30</date><risdate>2020</risdate><volume>16</volume><issue>11</issue><spage>e1008434</spage><pages>e1008434-</pages><issn>1553-7358</issn><issn>1553-734X</issn><eissn>1553-7358</eissn><abstract>Passive immunization with broadly neutralizing antibodies (bNAbs) of HIV-1 appears a promising strategy for eliciting long-term HIV-1 remission. When administered concomitantly with the cessation of antiretroviral therapy (ART) to patients with established viremic control, bNAb therapy is expected to prolong remission. Surprisingly, in clinical trials on chronic HIV-1 patients, the bNAb VRC01 failed to prolong remission substantially. Identifying the cause of this failure is important for improving VRC01-based therapies and unraveling potential vulnerabilities of other bNAbs. In the trials, viremia resurged rapidly in most patients despite suppressive VRC01 concentrations in circulation, suggesting that VRC01 resistance was the likely cause of failure. ART swiftly halts viral replication, precluding the development of resistance during ART. If resistance were to emerge post ART, virological breakthrough would have taken longer than without VRC01 therapy. We hypothesized therefore that VRC01-resistant strains must have been formed before ART initiation, survived ART in latently infected cells, and been activated during VRC01 therapy, causing treatment failure. Current assays preclude testing this hypothesis experimentally. We developed a mathematical model based on the hypothesis and challenged it with available clinical data. The model integrated within-host HIV-1 evolution, stochastic latency reactivation, and viral dynamics with multiple-dose VRC01 pharmacokinetics. The model predicted that single but not higher VRC01-resistant mutants would pre-exist in the latent reservoir. We constructed a virtual patient population that parsimoniously recapitulated inter-patient variations. Model predictions with this population quantitatively captured data of VRC01 failure from clinical trials, presenting strong evidence supporting the hypothesis. We attributed VRC01 failure to single-mutant VRC01-resistant proviruses in the latent reservoir triggering viral recrudescence, particularly when VRC01 was at trough levels. Pre-existing resistant proviruses in the latent reservoir may similarly compromise other bNAbs. Our study provides a framework for designing bNAb-based therapeutic protocols that would avert such failure and maximize HIV-1 remission.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>33253162</pmid><doi>10.1371/journal.pcbi.1008434</doi><orcidid>https://orcid.org/0000-0002-2145-9828</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Analysis Antibodies, Monoclonal - therapeutic use Antiretroviral drugs Antiretroviral therapy Binding sites Biology and Life Sciences Broadly Neutralizing Antibodies - therapeutic use Chronic infection Clinical trials Disease Reservoirs Dosage and administration Drug resistance Drug Resistance, Viral Drug therapy HIV HIV antibodies HIV Antibodies - therapeutic use HIV infections HIV Infections - therapy HIV-1 - immunology Human immunodeficiency virus Humans Hypotheses Infections Mathematical models Medicine and Health Sciences Mutation Optimization Patients Physiological aspects Remission Reproducibility of Results Research and Analysis Methods Risk factors Simulation Stochastic models Stochasticity Viral drug resistance Virus Latency |
title | Pre-existing resistance in the latent reservoir can compromise VRC01 therapy during chronic HIV-1 infection |
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