Evidence map›Paper›PMID 42357682›Full record

ReviewViruses2026

Histone Deacetylase Inhibitors (HDACis) as Latency-Reversing Agents in HIV Cure Strategies: Chemistry, Selectivity, and Clinical Perspective.

Hanan Almolhim

Abstract readReview
In one paragraph

Review in Viruses, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

1 author.

Hanan AlmolhimDepartment of Chemistry, College of Science, Northern Border University, Arar, 91431, Saudi Arabia.ORCID 0000-0002-5310-5223

Funding

Deanship of Scientific Research at Northern Border University NBU-FFR-2026-185-01
6 · The paper itself

Abstract

Latently infected resting CD4+ T cells represent the principal barrier to HIV eradication. Their immunological quiescence renders them invisible to combination antiretroviral therapy (cART) and host immune surveillance, sustaining a reservoir that mandates lifelong treatment. The 'shock and kill' strategy seeks to reverse this latency using pharmacological latency-reversing agents (LRAs) so that immune effectors and cART can eliminate reactivated cells. In this narrative, structured review, we examine histone deacetylase inhibitors (HDACis) as LRAs from a medicinal chemistry perspective. The review places particular emphasis on structure-activity relationship (SAR), isoform selectivity, and the mechanistic basis of differential clinical performance, synthesizing evidence from preclinical, ex vivo, and clinical studies published between 2010 and 2026. Four structural classes of HDACis-hydroxamic acids, benzamides, cyclic depsipeptides, and short-chain fatty acids-differ substantially in isoform selectivity, potency, pharmacokinetics, and tolerability. No single agent has achieved statistically significant reservoir reduction in clinical trials, highlighting the apparent inadequacy of the 'shock' phase alone and suggesting a need for complementary 'kill' strategies. Rational design of HDACis informed by isoform-selective SAR, combined with emerging combination LRA strategies and immunological 'kill' components, represents a promising direction toward a functional HIV cure, though substantial translational hurdles remain.

Indexed as

Anti-HIV AgentsHistone Deacetylase InhibitorsHIV-1HIV InfectionsVirus LatencyAnimalsHumansStructure-Activity RelationshipAnti-HIV AgentsHistone Deacetylase Inhibitorsantiretroviral therapyhistone deacetylase inhibitorHIVisoform selectivitylatencylatency-reversing agentsreservoir eradicationshock and killstructure–activity relationship

Identifiers

PMID42357682
PMCPMC13307809

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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.