Evidence map›Paper›PMID 32584790›Full record

ArticleThe Journal of clinical investigation2020

Improved killing of HIV-infected cells using three neutralizing and non-neutralizing antibodies.

Marina Tuyishime, Carolina Garrido, Shalini Jha, Matt Moeser, Dieter Mielke, Celia LaBranche, David Montefiori, Barton F Haynes, Sarah Joseph, David M Margolis and 1 more

Open access · hybridAbstract read
In one paragraph

Article in The Journal of clinical investigation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Activation of CXCR3Journal of virology · 2025
    Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

11 authors at 3 institutions in 1 country.

Marina TuyishimeDepartment of Surgery, Duke University Medical Center, Durham, North Carolina, USA.
Carolina GarridoUNC HIV Cure Center and.
Shalini JhaDepartment of Surgery, Duke University Medical Center, Durham, North Carolina, USA.
Matt MoeserLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Dieter MielkeDepartment of Surgery, Duke University Medical Center, Durham, North Carolina, USA.
Celia LaBrancheDepartment of Surgery, Duke University Medical Center, Durham, North Carolina, USA.
David MontefioriDepartment of Surgery, Duke University Medical Center, Durham, North Carolina, USA.
Barton F HaynesDuke Human Vaccine Institute, Duke University School of Medicine, Durham, North Carolina, USA.
Sarah JosephUNC HIV Cure Center and.
David M MargolisUNC HIV Cure Center and.
Guido FerrariDepartment of Surgery, Duke University Medical Center, Durham, North Carolina, USA.
Duke Medical Center · USUniversity of North Carolina at Chapel Hill · USDuke University · US

Funding

Social and Behavioral Sciences CoreP30AI064518 · NIAID · DUKE UNIVERSITY · PI GEORGIA Doris TOMARAS · 2005 to 2026
$50.5M
Collaboratory of AIDS Researchers for Eradication (CARE)UM1AI126619 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MARGOLIS, DAVID M. · 2016 to 2020
$23.2M
Physical Resources CoreP01AI120756 · NIAID · DUKE UNIVERSITY · PI TOMARAS, GEORGIA DORIS · 2016 to 2020
$17.1M
Ruth L. Kirschstein National Research Service Award (NRSA)- T32T32AI007392 · NIAID · DUKE UNIVERSITY · PI Amy Lynn Corneli, Guido Ferrari · 1990 to 2026
$9.8M
NIAID NIH HHS HHSN272201000045CNIAID NIH HHS HHSN272201700061CNIAID NIH HHS P01 AI120756NIAID NIH HHS P30 AI064518NIAID NIH HHS T32 AI007392NIAID NIH HHS UM1 AI126619
6 · The paper itself

Abstract

The correlation of HIV-specific antibody-dependent cellular cytotoxicity (ADCC) responses with protection from and delayed progression of HIV-1 infection provides a rationale to leverage ADCC-mediating antibodies for treatment purposes. We evaluated ADCC mediated by different combinations of 2 to 6 neutralizing and non-neutralizing anti-HIV-1 Envelope (Env) mAbs, using concentrations ≤ 1 μg/mL, to identify combinations effective at targeting latent reservoir HIV-1 viruses from 10 individuals. We found that within 2 hours, combinations of 3 mAbs mediated more than 30% killing of HIV-infected primary CD4+ T cells in the presence of autologous NK cells, with the combination of A32 (C1C2), DH511.2K3 (MPER), and PGT121 (V3) mAbs being the most effective. Increasing the incubation of target and effector cells in the presence of mAb combinations from 2 to 24 hours resulted in increased specific killing of infected cells, even with neutralization-resistant viruses. The same combination eliminated reactivated latently HIV-1-infected cells in an ex vivo quantitative viral outgrowth assay. Therefore, administration of a combination of 3 mAbs should be considered in planning in vivo studies seeking to eliminate persistently HIV-1-infected cells.

Indexed as

AdultAntibodies, MonoclonalAntibodies, NeutralizingAntibody-Dependent Cell CytotoxicityBroadly Neutralizing AntibodiesCD4-Positive T-LymphocytesDisease ReservoirsFemaleHIV-1HIV AntibodiesHIV InfectionsHumansImmunotherapyIn Vitro TechniquesKiller Cells, NaturalKineticsAntibodies, MonoclonalAntibodies, NeutralizingBroadly Neutralizing AntibodiesHIV AntibodiesAIDS/HIVImmunoglobulinsImmunotherapyNK cells

Identifiers

PMID32584790
PMCPMC7524508
OpenAlexW3037328632

What OpenQuestion holds

Textmetadata
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.