Evidence map›Paper›PMID 31855881›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2020

Brief Report: Prediction of Serum HIV-1 Neutralization Titers After Passive Administration of VRC01.

Yunda Huang, Yuanyuan Zhang, Robert Bailer, Nicole Grunenberg, Lindsay N Carpp, Kelly Seaton, Kenneth H Mayer, Julie Ledgerwood, Lawrence Corey, John Mascola and 2 more

Open access · greenAbstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Review
  4. Review
  5. Review
  6. Serum AZD7442 (tixagevimab-cilgavimab) concentrations andClinical & translational immunology · 2024
    Article
  7. Article
  8. 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

12 authors at 6 institutions in 1 country.

Yunda HuangVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA.
Yuanyuan ZhangVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA.
Robert BailerVaccine Research Center, National Institute of Allergy and Infectious Diseases, Bethesda, MD.
Nicole GrunenbergVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA.
Lindsay N CarppVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA.
Kelly SeatonDuke Human Vaccine Institute, Duke University Medical Center, Durham, NC.
Kenneth H MayerThe Fenway Institute, Fenway Health, Boston, MA.
Julie LedgerwoodVaccine Research Center, National Institute of Allergy and Infectious Diseases, Bethesda, MD.
Lawrence CoreyVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA.
John MascolaVaccine Research Center, National Institute of Allergy and Infectious Diseases, Bethesda, MD.
David MontefioriDuke Human Vaccine Institute, Duke University Medical Center, Durham, NC.
Peter B GilbertVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA.
Fred Hutch Cancer Center · USNational Institute of Allergy and Infectious Diseases · USDuke Medical Center · USCancer Research Center · USFenway Health · USUniversity of Washington · US

Funding

LOC: HIV Vaccine Trials NetworkUM1AI068614 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Dan H. Barouch, Lawrence Corey · 2011 to 2026
$1175.6M
LC: HIV Vaccine Trials NetworkUM1AI068618 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Margaret Juliana McElrath · 2011 to 2026
$483.6M
SDMC: HIV Vaccine Trials NetworkUM1AI068635 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Peter B. Gilbert, Yunda Huang · 2011 to 2026
$385.9M
The impact of HIV viral diversity and cellular immunity on HIV pathogenesisP30AI060354 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI ROBERT A. PARKER · 2004 to 2026
$94.4M
Harvard Medical School Vaccine Clinical Trials UnitUM1AI069412 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI Lindsey Robert Baden, Daniel R. Kuritzkes · 2012 to 2026
$57.2M
Statistical Methods in HIV Vaccine Efficacy TrialsR37AI054165 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Peter B. Gilbert · 2010 to 2026
$6.7M
Developing appropriate risk reduction interventions for pre-teensR21MH083308 · NIMH · WITS HEALTH CONSORTIUM (PTY), LTD · PI GRAY, GLENDA E, SIKKEMA, KATHLEEN J · 2008 to 2009
$331k
NIAID NIH HHS P30 AI060354NIAID NIH HHS R37 AI054165NIAID NIH HHS UM1 AI068614NIAID NIH HHS UM1 AI068618NIAID NIH HHS UM1 AI068635NIAID NIH HHS UM1 AI069412NIMH NIH HHS R21 MH083308
6 · The paper itself

Abstract

backgroundVRC01 is a human IgG1 broadly neutralizing antibody (bnAb) that binds to the HIV-1 envelope glycoprotein. It is being evaluated in two ongoing Phase 2b trials, the first efficacy assessment of a passively-administered bnAb for HIV-1 prevention. HVTN 104 was a phase 1 trial of VRC01.

settingWe measured serum concentrations and serum neutralization of VRC01 in 1079 longitudinal samples collected after passive administration of VRC01 in 84 HVTN 104 participants. As assays for measuring VRC01 serum neutralization titers are resource-intensive, we investigated approaches to predicting such titers.

methodsSerum concentration was measured using an anti-idiotypic ELISA assay. Serum neutralization ID50 titers and in vitro neutralization potency IC50 of the VRC01 clinical lot were measured against Env-pseudoviruses. Three approaches were used to predict serum neutralization ID50 titers based on (1) observed serum concentration divided by IC50, (2) pharmacokinetics model-predicted serum concentration divided by IC50, and (3) joint modeling of the longitudinal serum concentrations and ID50 titers.

resultsAll 3 approaches yielded satisfactory prediction of neutralization titers against viruses of varied sensitivities; the median fold differences (FDs) of observed-over-predicted ID50 titers were between 0.95 and 1.37. Approach 3 generally performed the best with fold differences between 0.95 and 0.99 and <82% mean squared prediction error relative to approach 1. Similar results were obtained for ID80 titers.

conclusionVRC01 serum neutralization could be accurately predicted, especially when using pharmacokinetics models. The proposed prediction approaches could potentially save significant resources for the characterization of serum neutralization of VRC01, including for other bnAbs and bnAb combinations.

Indexed as

HIV SeropositivityAdolescentAdultAIDS VaccinesAntibodies, NeutralizingFemaleHIV-1HIV AntibodiesHIV InfectionsHumansImmunization, PassiveImmunization ScheduleMaleMiddle AgedYoung AdultAIDS VaccinesAntibodies, NeutralizingHIV Antibodies

Identifiers

PMID31855881
PMCPMC7594341
OpenAlexW2996280882

What OpenQuestion holds

Textmetadata
LicenceTDM
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.