Evidence map›Paper›PMID 33048992›Full record

ArticlePLoS pathogens2020

Mining for humoral correlates of HIV control and latent reservoir size.

Jishnu Das, Anush Devadhasan, Caitlyn Linde, Tom Broge, Jessica Sassic, Max Mangano, Sean O'Keefe, Todd Suscovich, Hendrik Streeck, Alivelu Irrinki and 10 more

Open access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors at 5 institutions in 1 country.

Jishnu DasRagon Institute of MGH, MIT and Harvard, Cambridge, United States of America.ORCID 0000-0002-5747-064X
Anush DevadhasanRagon Institute of MGH, MIT and Harvard, Cambridge, United States of America.
Caitlyn LindeRagon Institute of MGH, MIT and Harvard, Cambridge, United States of America.ORCID 0000-0001-5752-0718
Tom BrogeRagon Institute of MGH, MIT and Harvard, Cambridge, United States of America.ORCID 0000-0001-7510-0004
Jessica SassicRagon Institute of MGH, MIT and Harvard, Cambridge, United States of America.ORCID 0000-0003-4562-3212
Max ManganoRagon Institute of MGH, MIT and Harvard, Cambridge, United States of America.
Sean O'KeefeRagon Institute of MGH, MIT and Harvard, Cambridge, United States of America.
Todd SuscovichRagon Institute of MGH, MIT and Harvard, Cambridge, United States of America.ORCID 0000-0002-9811-9792
Hendrik StreeckInstitute for HIV Research, Essen, Germany.
Alivelu IrrinkiGilead Life Sciences, San Francisco, CA, United States of America.ORCID 0000-0001-7922-1807
Chris PohlmeyerGilead Life Sciences, San Francisco, CA, United States of America.ORCID 0000-0002-4076-0309
Gundula Min-OoGilead Life Sciences, San Francisco, CA, United States of America.
Shu LinThayer School of Engineering, Dartmouth College, Hanover, United States of America.
Joshua A WeinerThayer School of Engineering, Dartmouth College, Hanover, United States of America.ORCID 0000-0003-1054-0628
Thomas CihlarGilead Life Sciences, San Francisco, CA, United States of America.
Margaret E AckermanThayer School of Engineering, Dartmouth College, Hanover, United States of America.ORCID 0000-0002-4253-3476
Boris JulgRagon Institute of MGH, MIT and Harvard, Cambridge, United States of America.ORCID 0000-0002-4687-9626
Steven DeeksDepartment of Medicine, University of California San Francisco, San Francisco, United States of America.ORCID 0000-0001-6371-747X
Douglas A LauffenburgerDepartment of Biological Engineering, MIT, Cambridge, United States of America.ORCID 0000-0002-0050-989X
Galit AlterRagon Institute of MGH, MIT and Harvard, Cambridge, United States of America.ORCID 0000-0002-7680-9215
Ragon Institute of MGH, MIT and Harvard · USGilead Sciences (United States) · USDartmouth College · USIIT@MIT · USUniversity of California, San Francisco · US

Funding

Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MALLORY O JOHNSON · 1988 to 2026
$93.6M
Combined Immunologic Approaches to Cure HIV-1UM1AI126603 · NIAID · BETH ISRAEL DEACONESS MEDICAL CENTER · PI BAROUCH, DAN H., MELLORS, JOHN W · 2016 to 2020
$23.6M
Demystifying the antiviral activity of the IgG3+ antibody responseR01AI080289 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI JUELG, BORIS DOMINIK · 2009 to 2024
$4.1M
Directing Antibody Effector Activity via Controlled IgG Subclass SwitchingR01AI131975 · NIAID · DARTMOUTH COLLEGE · PI ACKERMAN, MARGARET E · 2017 to 2020
$2.6M
NIAID NIH HHS P30 AI027763NIAID NIH HHS R01 AI080289NIAID NIH HHS R01 AI131975NIAID NIH HHS UM1 AI126603
6 · The paper itself

Abstract

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 HIV-specific 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.

Indexed as

Virus ReplicationAnti-Retroviral AgentsBiomarkersHIV-1HIV AntibodiesHIV InfectionsHumansViral LoadVirus LatencyAnti-Retroviral AgentsBiomarkersHIV Antibodies

Identifiers

PMID33048992
PMCPMC7553335
OpenAlexW3092220003

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.