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dc.contributor.authorDas, Jishnu
dc.contributor.authorDevadhasan, Anush
dc.contributor.authorLinde, Caitlyn
dc.contributor.authorBroge, Tom
dc.contributor.authorSassic, Jessica
dc.contributor.authorMangano, Max
dc.contributor.authorO'Keefe, Sean
dc.contributor.authorSuscovich, Todd
dc.contributor.authorStreeck, Hendrik
dc.contributor.authorIrrinki, Alivelu
dc.contributor.authorPohlmeyer, Chris
dc.contributor.authorMin-Oo, Gundula
dc.contributor.authorLin, Shu
dc.contributor.authorWeiner, Joshua A
dc.contributor.authorCihlar, Thomas
dc.contributor.authorAckerman, Margaret E
dc.contributor.authorJulg, Boris
dc.contributor.authorDeeks, Steven
dc.contributor.authorLauffenburger, Douglas A
dc.contributor.authorAlter, Galit
dc.date.accessioned2021-10-27T20:30:58Z
dc.date.available2021-10-27T20:30:58Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/136132
dc.description.abstract© 2020 Das et al. While antiretroviral therapy (ART) has effectively revolutionized HIV care, the virus is never fully eliminated. Instead, immune dysfunction, driven by persistent non-specific immune activation, ensues and progressively leads to premature immunologic aging. Current biomarkers monitoring immunologic changes encompass generic inflammatory biomarkers, that may also change with other infections or disease states, precluding the antigen-specific monitoring of HIV-infection associated changes in disease. Given our growing appreciation of the significant changes in qualitative and quantitative properties of disease-specific antibodies in HIV infection, we used a systems approach to explore humoral profiles associated with HIV control. We found that HIV-specific antibody profiles diverge by spontaneous control of HIV, treatment status, viral load and reservoir size. Specifically, HIV-specific antibody profiles representative of changes in viral load were largely quantitative, reflected by differential HIV-specific antibody levels and Fc-receptor binding. Conversely, HIV-specific antibody features that tracked with reservoir size exhibited a combination of quantitative and qualitative changes marked by more distinct subclass selection profiles and unique HIVspecific Fc-glycans. Our analyses suggest that HIV-specific antibody Fc-profiles provide antigen-specific resolution on both cell free and cell-associated viral loads, pointing to potentially novel biomarkers to monitor reservoir activity.en_US
dc.language.isoen
dc.publisherPublic Library of Science (PLoS)en_US
dc.relation.isversionof10.1371/JOURNAL.PPAT.1008868en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourcePLoSen_US
dc.titleMining for humoral correlates of HIV control and latent reservoir sizeen_US
dc.typeArticleen_US
dc.relation.journalPLoS Pathogensen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-09-07T16:44:51Z
dspace.orderedauthorsDas, J; Devadhasan, A; Linde, C; Broge, T; Sassic, J; Mangano, M; O'Keefe, S; Suscovich, T; Streeck, H; Irrinki, A; Pohlmeyer, C; Min-Oo, G; Lin, S; Weiner, JA; Cihlar, T; Ackerman, ME; Julg, B; Deeks, S; Lauffenburger, DA; Alter, Gen_US
dspace.date.submission2021-09-07T16:44:53Z
mit.journal.volume16en_US
mit.journal.issue10en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US
mit.metadata.statusAuthority Work and Publication Information Needed


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