Evidence map›Paper›PMID 39074163›Full record

ArticlePLoS pathogens2024

Understanding early HIV-1 rebound dynamics following antiretroviral therapy interruption: The importance of effector cell expansion.

Tin Phan, Jessica M Conway, Nicole Pagane, Jasmine Kreig, Narmada Sambaturu, Sarafa Iyaniwura, Jonathan Z Li, Ruy M Ribeiro, Ruian Ke, Alan S Perelson

Abstract read
In one paragraph

Article in PLoS pathogens, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Dual Blockade of LILRB1 and LILRB2 Enhances Antiviral Immune Responses in SIV Infection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Article
  3. The elite controller phenotype.Current opinion in HIV and AIDS · 2026
    Review
  4. Early immune responses anticipate HIV rebound and precede viral control.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Tin PhanTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.
Jessica M ConwayDepartment of Mathematics, Pennsylvania State University, College Township, Pennsylvania, United States of America.
Nicole PaganeProgram in Computational and Systems Biology, Massachusetts Institute of Technology; Cambridge, Massachusetts, United States of America.
Jasmine KreigTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.
Narmada SambaturuTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.
Sarafa IyaniwuraTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.
Jonathan Z LiDepartment of Medicine, Division of Infectious Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
Ruy M RibeiroTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.
Ruian KeTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.
Alan S PerelsonTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.ORCID 0000-0002-2455-0002

Funding

Leadership and Operations Center (LOC), AIDS Clinical Trials Group (ACTG); LOC 1/UM1AI068636 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Joseph J Eron, RAJESH T GANDHI · 2011 to 2026
$1073.1M
Statistical and Data Management Center (SDMC), AIDS Clinical Trials Group (ACTG)UM1AI068634 · NIAID · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Marlene Ann Cooper, Michael David Hughes · 2011 to 2026
$246.6M
Validation, CLIA and Qualification (VQC): Enhancing the RS ratio as a tool for AIDS Clinical Trial Group (ACTG) tuberculosis trialsUM1AI106701 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Grace M Aldrovandi · 2014 to 2026
$116.8M
The impact of HIV viral diversity and cellular immunity on HIV pathogenesisP30AI060354 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI ARTHUR Y KIM · 2004 to 2026
$94.4M
Reversing Immune Dysfunction for HIV-1 EradicationUM1AI164561 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI SUMIT K CHANDA, Paula M Cannon · 2021 to 2026
$30.0M
High-Definition Characterization of the Persistence and Perturbation of the HIV Reservoir: Project 3P01AI169768 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI Athe M. Tsibris · 2022 to 2026
$10.1M
Understanding reservoir dynamics through analysis of viral decay processesP01AI169615 · NIAID · JOHNS HOPKINS UNIVERSITY · PI ROBERT F SILICIANO · 2022 to 2026
$9.5M
HIV Reservoir Ecology of Viral Remission (PTC)R01AI150396 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI LI, JONATHAN · 2020 to 2025
$5.4M
Modeling Viral and T Lymphocyte DynamicsR01OD011095 · OD · TRIAD NATIONAL SECURITY, LLC · PI PERELSON, ALAN S · 2012 to 2024
$5.0M
Immune System Modeling/HIVR01AI028433 · NIAID · UNIVERSITY OF CALIF-LOS ALAMOS NAT LAB · PI PERELSON, ALAN S · 1990 to 2021
$3.7M
Modeling the HIV latent reservoir, latency reversal and immunotherapeutics for HIV cureR01AI152703 · NIAID · TRIAD NATIONAL SECURITY, LLC · PI KE, RUIAN · 2020 to 2024
$3.0M
High resolution profiling and computational modeling of influenza virus-immune dynamics during natural infectionU01AI186993 · NIAID · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Christopher Byron Brooke, Ruian Ke · 2025 to 2026
$2.7M
NIAID NIH HHS P01 AI169615NIAID NIH HHS P30 AI060354NIAID NIH HHS R01 AI028433NIAID NIH HHS R01 AI150396NIAID NIH HHS R01 AI152703NIAID NIH HHS R21 AI143443NIAID NIH HHS R37 AI150396NIAID NIH HHS U01 AI186993NIAID NIH HHS UM1 AI068634NIAID NIH HHS UM1 AI068636NIAID NIH HHS UM1 AI106701NIAID NIH HHS UM1 AI164561NIH HHS R01 OD011095
6 · The paper itself

Abstract

Most people living with HIV-1 experience rapid viral rebound once antiretroviral therapy is interrupted; however, a small fraction remain in viral remission for an extended duration. Understanding the factors that determine whether viral rebound is likely after treatment interruption can enable the development of optimal treatment regimens and therapeutic interventions to potentially achieve a functional cure for HIV-1. We built upon the theoretical framework proposed by Conway and Perelson to construct dynamic models of virus-immune interactions to study factors that influence viral rebound dynamics. We evaluated these models using viral load data from 24 individuals following antiretroviral therapy interruption. The best-performing model accurately captures the heterogeneity of viral dynamics and highlights the importance of the effector cell expansion rate. Our results show that post-treatment controllers and non-controllers can be distinguished based on the effector cell expansion rate in our models. Furthermore, these results demonstrate the potential of using dynamic models incorporating an effector cell response to understand early viral rebound dynamics post-antiretroviral therapy interruption.

Indexed as

HIV-1HIV InfectionsViral LoadAnti-HIV AgentsAnti-Retroviral AgentsAntiretroviral Therapy, Highly ActiveCD4-Positive T-LymphocytesHumansMaleAnti-HIV AgentsAnti-Retroviral Agents

Identifiers

PMID39074163
PMCPMC11309407

What OpenQuestion holds

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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.