Evidence map›Paper›PMID 30129208›Full record

ReviewImmunological reviews2018

Insight into treatment of HIV infection from viral dynamics models.

Alison L Hill, Daniel I S Rosenbloom, Martin A Nowak, Robert F Siliciano

Open access · hybridAbstract readReview
In one paragraph

Review in Immunological reviews, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

34 citing papers in PubMed, 72 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Metabolomics of HIV in the Modern cART Era.Advances in experimental medicine and biology · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Modelling HIV-1 control and remission.NPJ systems biology and applications · 2024
    Review
  11. Article
  12. Weight Gain After HIV Therapy Initiation: Pathophysiology and Implications.The Journal of clinical endocrinology and metabolism · 2024 · on this map
    Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Virus-Mimicking Polymer Nanoparticles Targeting CD169ACS applied materials & interfaces · 2022
    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

4 authors at 3 institutions in 1 country.

Alison L HillProgram for Evolutionary Dynamics, Harvard University, Cambridge, Massachusetts.ORCID 0000-0002-6583-3623
Daniel I S RosenbloomDepartment of Pharmacokinetics, Pharmacodynamics, & Drug Metabolism, Merck Research Laboratories, Kenilworth, New Jersey.
Martin A NowakProgram for Evolutionary Dynamics, Harvard University, Cambridge, Massachusetts.
Robert F SilicianoDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Harvard University · USHoward Hughes Medical Institute · USMerck & Co., Inc., Rahway, NJ, USA (United States) · US

Funding

The impact of HIV viral diversity and cellular immunity on HIV pathogenesisP30AI060354 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI RAJESH T GANDHI · 2004 to 2026
$94.4M
Delaney AIDS Research Enterprise to Cure HIVUM1AI126611 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DEEKS, STEVEN GRANT, PICKER, LOUIS J. · 2016 to 2020
$27.9M
Revealing Reservoirs during Rebound (R3)P01AI131385 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DEGRUTTOLA, VICTOR GERARD · 2017 to 2021
$8.7M
Viral dynamics of rebound and control following early treatment of HIV/SIVP01AI131365 · NIAID · BOSTON COLLEGE · PI WHITNEY, JAMES BURTON · 2017 to 2021
$7.5M
Quantification and prediction of treatment efficacy for HIV cure strategiesDP5OD019851 · OD · JOHNS HOPKINS UNIVERSITY · PI HILL, ALISON LYNN · 2014 to 2018
$2.1M
NIAID NIH HHS P01 AI131365NIAID NIH HHS P01 AI131385NIAID NIH HHS P30 AI060354NIAID NIH HHS UM1 AI126611NIH HHS DP5 OD019851
6 · The paper itself

Abstract

The odds of living a long and healthy life with HIV infection have dramatically improved with the advent of combination antiretroviral therapy. Along with the early development and clinical trials of these drugs, and new field of research emerged called viral dynamics, which uses mathematical models to interpret and predict the time-course of viral levels during infection and how they are altered by treatment. In this review, we summarize the contributions that virus dynamics models have made to understanding the pathophysiology of infection and to designing effective therapies. This includes studies of the multiphasic decay of viral load when antiretroviral therapy is given, the evolution of drug resistance, the long-term persistence latently infected cells, and the rebound of viremia when drugs are stopped. We additionally discuss new work applying viral dynamics models to new classes of investigational treatment for HIV, including latency-reversing agents and immunotherapy.

Indexed as

Models, BiologicalVirus LatencyAnimalsAnti-Retroviral AgentsDrug ResistanceHIVHIV InfectionsHumansImmunotherapyTreatment OutcomeViral LoadViremiaVirus ActivationWithholding TreatmentAnti-Retroviral Agentsantiretroviral therapycureHIVpharmacodynamicsviral dynamics modelviral rebound

Identifiers

PMID30129208
PMCPMC6155466
OpenAlexW2885985538

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.