Evidence map›Paper›PMID 26191086›Full record

ArticleCellular and molecular bioengineering2014

Quantitative evaluation and optimization of co-drugging to improve anti-HIV latency therapy.

Victor C Wong, Linda E Fong, Nicholas M Adams, Qiong Xue, Siddharth S Dey, Kathryn Miller-Jensen

Open access · greenAbstract read
In one paragraph

Article in Cellular and molecular bioengineering, 2014. 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
0.6field-weighted citation impact, top 34% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. A passive-flow microfluidic device for imaging latent HIV activation dynamics in single T cells.Integrative biology : quantitative biosciences from nano to macro · 2015
    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

6 authors at 2 institutions in 2 countries.

Victor C WongDepartment of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT 06520 USA.
Linda E FongDepartment of Biomedical Engineering, Yale University, New Haven, CT 06520 USA.
Nicholas M AdamsDepartment of Biomedical Engineering, Yale University, New Haven, CT 06520 USA.
Qiong XueDepartment of Biomedical Engineering, Yale University, New Haven, CT 06520 USA.
Siddharth S DeyCalifornia Institute for Quantitative Biosciences, University of California, Berkeley, CA 94720 USA.
Kathryn Miller-JensenDepartment of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT 06520 USA ; Department of Biomedical Engineering, Yale University, New Haven, CT 06520 USA.
Yale University · USQB3 · US

Funding

PREDOCTORAL TRAINING PROGRAM IN GENETICST32GM007499 · NIGMS · YALE UNIVERSITY · PI CARLSON, JOHN R, REINKE, VALERIE J · 1985 to 2022
$13.9M
NIGMS NIH HHS T32 GM007499
6 · The paper itself

Abstract

Human immunodeficiency virus 1 (HIV) latency remains a significant obstacle to curing infected patients. One promising therapeutic strategy is to purge the latent cellular reservoir by activating latent HIV with latency-reversing agents (LRAs). In some cases, co-drugging with multiple LRAs is necessary to activate latent infections, but few studies have established quantitative criteria for determining when co-drugging is required. Here we systematically quantified drug interactions between histone deacetylase inhibitors and transcriptional activators of HIV and found that the need for co-drugging is determined by the proximity of latent infections to the chromatin-regulated viral gene activation threshold at the viral promoter. Our results suggest two classes of latent viral integrations: those far from the activation threshold that benefit from co-drugging, and those close to the threshold that are efficiently activated by a single drug. Using a primary T cell model of latency, we further demonstrated that the requirement for co-drugging was donor dependent, suggesting that the host may set the level of repression of latent infections. Finally, we showed that single drug or co-drugging doses could be optimized, via repeat stimulations, to minimize unwanted side effects while maintaining robust viral activation. Our results motivate further study of patient-specific latency-reversing strategies.

Identifiers

PMID26191086
PMCPMC4501041
OpenAlexW2064921763

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.