Mining for humoral correlates of HIV control and latent reservoir size

• DOI: 10.1371/journal.ppat.1008868
• Publication Date: 2020-10-13T17:26:35Z
• Authors: Jishnu Das; Anush Devadhasan; Caitlyn Linde; Tom Broge; Jessica Sassic; Max Mangano; Sean O'Keefe; Todd Suscovich; Hendrik Streeck; Alivelu Irrinki; Chris Pohlmeyer; Gundula Min-Oo; Shu Lin; Joshua A. Weiner; Thomas Cihlar; Margaret E. Ackerman; Boris Julg; Steven Deeks; Douglas A. Lauffe...; Galit Alter
• Keywords: Subclass; HIV Antigens

While antiretroviral therapy (ART) has effectively revolutionized HIV care, the virus is never fully eliminated. Instead, immune dysfunction, driven by persistent non-specific activation, ensues and progressively leads to premature immunologic aging. Current biomarkers monitoring changes encompass generic inflammatory biomarkers, that may also change with other infections or disease states, precluding antigen-specific of HIV-infection associated in disease. Given our growing appreciation significant qualitative quantitative properties disease-specific antibodies infection, we used a systems approach explore humoral profiles control. We found HIV-specific antibody diverge spontaneous control HIV, treatment status, viral load reservoir size. Specifically, representative were largely quantitative, reflected differential levels Fc-receptor binding. Conversely, features tracked size exhibited combination marked more distinct subclass selection unique Fc-glycans. Our analyses suggest Fc-profiles provide resolution on both cell free cell-associated loads, pointing potentially novel monitor activity.