Evidence map›Paper›PMID 40923785›Full record

ArticlemBio2025

Bayesian estimation of HIV acquisition dates for prevention trials.

Raabya Rossenkhan, Elena E Giorgi, Danica Shao, James Ludwig, Phillip Labuschagne, Craig A Magaret, Thumbi Ndung'u, Daniel Muema, Kamini Gounder, Krista L Dong and 30 more

Abstract read
In one paragraph

Article in mBio, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. 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

40 authors.

Raabya RossenkhanFred Hutchinson Cancer Center, Vaccine and Infectious Disease Division, Seattle, Washington, USA.ORCID 0009-0005-5907-8325
Elena E GiorgiFred Hutchinson Cancer Center, Vaccine and Infectious Disease Division, Seattle, Washington, USA.
Danica ShaoFred Hutchinson Cancer Center, Vaccine and Infectious Disease Division, Seattle, Washington, USA.
James LudwigFred Hutchinson Cancer Center, Vaccine and Infectious Disease Division, Seattle, Washington, USA.
Phillip LabuschagneFred Hutchinson Cancer Center, Vaccine and Infectious Disease Division, Seattle, Washington, USA.
Craig A MagaretFred Hutchinson Cancer Center, Vaccine and Infectious Disease Division, Seattle, Washington, USA.
Thumbi Ndung'uThe Doris Duke Medical Research Institute, University of KwaZulu-Natal, HIV Pathogenesis Programme, Durban, South Africa.
Daniel MuemaThe Doris Duke Medical Research Institute, University of KwaZulu-Natal, HIV Pathogenesis Programme, Durban, South Africa.
Kamini GounderThe Doris Duke Medical Research Institute, University of KwaZulu-Natal, HIV Pathogenesis Programme, Durban, South Africa.
Krista L DongRagon Institute of Massachusetts General, Massachusetts Institute of Technology, and Harvard University, Cambridge, Massachusetts, USA.
Bruce D WalkerThe Doris Duke Medical Research Institute, University of KwaZulu-Natal, HIV Pathogenesis Programme, Durban, South Africa.
Morgane RollandWalter Reed Army Institute of Research, U.S. Military HIV Research Program, Silver Spring, Maryland, USA.ORCID 0000-0003-3650-8490
Merlin L RobbHenry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland, USA.
Leigh Anne EllerWalter Reed Army Institute of Research, U.S. Military HIV Research Program, Silver Spring, Maryland, USA.
Fredrick SaweHenry M. Jackson Foundation Medical Research International, Nairobi, Kenya.
Sorachai NitayaphanArmed Forces Research Institute of Medical Sciences, Bangkok, Thailand.
Eduard GrebeStellenbosch University, South African Centre for Epidemiological Modeling and Analysis (SACEMA), Stellenbosch, South Africa.ORCID 0000-0001-7046-7245
Michael P BuschUniversity of California at San Francisco, Laboratory Medicine, San Francisco, USA.
Kevin P DelaneyNational Center for HIV Viral Hepatitis, STD and TB Prevention, Division of HIV Prevention, Atlanta, Georgia, USA.
Shelley FacenteVitalant Research Institute, San Francisco, California, USA.
Lindsay N CarppFred Hutchinson Cancer Center, Vaccine and Infectious Disease Division, Seattle, Washington, USA.ORCID 0000-0003-0333-5925
Allan C deCampFred Hutchinson Cancer Center, Vaccine and Infectious Disease Division, Seattle, Washington, USA.
Yunda HuangFred Hutchinson Cancer Center, Vaccine and Infectious Disease Division, Seattle, Washington, USA.
Bette KorberNew Mexico Consortium, Los Alamos, New Mexico, USA.
Michal JuraskaFred Hutchinson Cancer Center, Vaccine and Infectious Disease Division, Seattle, Washington, USA.
Erika RudnickiFred Hutchinson Cancer Center, Vaccine and Infectious Disease Division, Seattle, Washington, USA.
Ewelina KosmiderFred Hutchinson Cancer Center, Vaccine and Infectious Disease Division, Seattle, Washington, USA.
Daniel B ReevesFred Hutchinson Cancer Center, Vaccine and Infectious Disease Division, Seattle, Washington, USA.ORCID 0000-0001-5684-9538
Bryan T MayerFred Hutchinson Cancer Center, Vaccine and Infectious Disease Division, Seattle, Washington, USA.
John HuralFred Hutchinson Cancer Center, Vaccine and Infectious Disease Division, Seattle, Washington, USA.
Wenjie DengDepartment of Microbiology, University of Washington, Seattle, Washington, USA.
Dylan H WestfallDepartment of Microbiology, University of Washington, Seattle, Washington, USA.
Anna YsselInstitute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa.
David MattenInstitute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa.
Tanmoy BhattacharyaNew Mexico Consortium, Los Alamos, New Mexico, USA.
Lawrence CoreyFred Hutchinson Cancer Center, Vaccine and Infectious Disease Division, Seattle, Washington, USA.
Peter B GilbertFred Hutchinson Cancer Center, Vaccine and Infectious Disease Division, Seattle, Washington, USA.
Carolyn WilliamsonInstitute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa.ORCID 0000-0003-0125-1226
James I MullinsDepartment of Global Health, University of Washington, Seattle, Washington, USA.
Paul T EdlefsenFred Hutchinson Cancer Center, Vaccine and Infectious Disease Division, Seattle, Washington, USA.ORCID 0000-0002-8393-8103

Funding

LOC: HIV Vaccine Trials NetworkUM1AI068614 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Dan H. Barouch, Lawrence Corey · 2011 to 2026
$1175.6M
SDMC: HIV Vaccine Trials NetworkUM1AI068635 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Peter B. Gilbert, Yunda Huang · 2011 to 2026
$385.9M
Statistical Methods in HIV Vaccine Efficacy TrialsR37AI054165 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Peter B. Gilbert · 2010 to 2026
$6.7M
Simulating persistence and elimination of the HIV reservoirK25AI155224 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI REEVES, DANIEL · 2020 to 2024
$581k
Gates Foundation INV-016189Henry M. Jackson Foundation for the Advancement of Military Medicine W81XWH-18-2-0040National Institute of Allergy and Infectious Diseases R37AI054165National Institute of Allergy and Infectious Diseases UM1AI068635NIAID NIH HHS K25 AI155224NIAID NIH HHS R37 AI054165NIAID NIH HHS UM1 AI068614NIAID NIH HHS UM1 AI068635
6 · The paper itself

Abstract

Accurate timing estimates of when participants acquire HIV in HIV prevention trials are necessary for determining antibody levels at acquisition. The Antibody-Mediated Prevention (AMP) Studies showed that a passively administered broadly neutralizing antibody can prevent the acquisition of HIV from a neutralization-sensitive virus. We developed a pipeline for estimating the date of detectable HIV acquisition (DDA) in AMP Study participants using diagnostic and viral sequence data. Using a Bayesian strategy that combines three streams of data (REN [rev/vpu/env/Δnef] sequence, GP [gag/Δpol] sequence, and diagnostic) where their 95% credible intervals overlap based on pre-specified criteria and decision rules. We evaluated the performance of our AMP pipeline using PacBio viral sequence data from 41 participants across two prospective acute HIV acquisition cohort studies, FRESH and RV217, with twice-weekly sampling. These cohort studies enrolled young women in South Africa and men and women in Kenya and Thailand, respectively, with a high likelihood of HIV acquisition. In evaluating performance, "true DDA" was the center of bounds between last-negative and first-positive RNA diagnostic tests (median time 4 days, range 2-7 days); bias was the mean difference between estimated and true DDA. Using diagnostic data alone yielded timing estimates with a bias of 2.4 days and root mean square error (RMSE) of 7.9 days. These results were improved using sequence + diagnostic data (bias 1.5 days, RMSE 6.9 days), as well as by restricting sequence-based estimation to samples from ≤5 weeks post-DDA (bias 0.2 days, RMSE 7.8 days).IMPORTANCEIn HIV prevention trials, accurate timing estimates of when individual participants acquire HIV can be used to estimate antibody levels at the time of acquisition, which is useful for projecting antibody levels needed for prevention. The results we report here suggest that if sequence-based estimation of acquisition timing is used in future clinical trials of combination broadly neutralizing antibody (bnAb) regimens or multispecific bnAbs for HIV prevention, a sampling frequency of at least monthly is needed. Moreover, in the samples analyzed here, we observed less bias in sequence-based timing estimation for samples taken <5 weeks post-DDA. This observation is consistent with the timing of immune-driven selective pressures that may negatively impact the power to detect acquisition sieve effects.

Indexed as

HIV-1HIV InfectionsAdultBayes TheoremFemaleHIV AntibodiesHumansKenyaMaleProspective StudiesSouth AfricaThailandTime FactorsYoung AdultHIV Antibodiesacute acquisition cohortAntibody-Mediated Prevention (AMP) StudiesBayesian posterior distributiondate of detectable acquisitionFRESHHIVRV217

Identifiers

PMID40923785
PMCPMC12505913

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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.