Evidence map›Paper›PMID 33918134›Full record

ReviewInternational journal of molecular sciences2021

Combinatorial Use of Both Epigenetic and Non-Epigenetic Mechanisms to Efficiently Reactivate HIV Latency.

Joseph Hokello, Adhikarimayum Lakhikumar Sharma, Mudit Tyagi

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. HIV reservoirs in lymphomagenesis: hidden driver in the era of viral suppression?Microbiology and molecular biology reviews : MMBR · 2025
    Review
  3. Review
  4. Review
  5. Review
  6. Review
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

3 authors.

Joseph HokelloDepartment of Basic Science, Faculty of Science and Technology, Kampala International University-Western Campus, Bushenyi P.O. Box 71, Uganda.ORCID 0000-0002-6721-5933
Adhikarimayum Lakhikumar SharmaCenter for Translational Medicine, Thomas Jefferson University, 1020 Locust Street, Philadelphia, PA 19107, USA.ORCID 0000-0002-9969-8642
Mudit TyagiCenter for Translational Medicine, Thomas Jefferson University, 1020 Locust Street, Philadelphia, PA 19107, USA.ORCID 0000-0003-1493-8051

Funding

Characterization of cocaine induced signaling pathways that enhances HIV transcriptionR01DA041746 · NIDA · THOMAS JEFFERSON UNIVERSITY · PI TYAGI, MUDIT · 2017 to 2023
$2.3M
NIDA NIH HHS R01 DA041746NIH HHS FIC at the NIH through the Fogarty-AIDS International Training and Research Program (AITRP) (Training Grant: #NIH 5D43 TW00011) to JHNIH HHS National Institute on Drug Abuse (NIDA), NIH Grants, 1R01DA041746-01 to M.T
6 · The paper itself

Abstract

The persistence of latent HIV provirus pools in different resting CD4+ cell subsets remains the greatest obstacle in the current efforts to treat and cure HIV infection. Recent efforts to purge out latently infected memory CD4+ T-cells using latency-reversing agents have failed in clinical trials. This review discusses the epigenetic and non-epigenetic mechanisms of HIV latency control, major limitations of the current approaches of using latency-reversing agents to reactivate HIV latency in resting CD4+ T-cells, and potential solutions to these limitations.

Indexed as

Virus LatencyCD4-Positive T-LymphocytesEpigenesis, GeneticHIVHost-Pathogen InteractionsHumansImmunologic MemoryNF-kappa BPositive Transcriptional Elongation Factor BReinfectionNF-kappa BPositive Transcriptional Elongation Factor BepigeneticHIV latencynon-epigeneticreactivationtranscription

Identifiers

PMID33918134
PMCPMC8036438

What OpenQuestion holds

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LicenceCC BY
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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.