Evidence map›Paper›PMID 35186800›Full record

ReviewFrontiers in cellular and infection microbiology2022

CounterAKTing HIV: Toward a "Block and Clear" Strategy?

Sébastien Pasquereau, Georges Herbein

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in cellular and infection microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.3field-weighted citation impact, top 10% 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

25 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
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  3. Network Pharmacology-Guided Identification ofInternational journal of molecular sciences · 2026
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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

2 authors at 2 institutions in 1 country.

Sébastien PasquereauLaboratory Pathogens & Inflammation-Epigenetics of Viral Infections and Inflammatory Diseases Laboratory (EPILAB), University of Franche-Comté, Bourgogne Franche-Comté University Bourgogne Franche-Comté (UBFC), Besançon, France.
Georges HerbeinLaboratory Pathogens & Inflammation-Epigenetics of Viral Infections and Inflammatory Diseases Laboratory (EPILAB), University of Franche-Comté, Bourgogne Franche-Comté University Bourgogne Franche-Comté (UBFC), Besançon, France.
Centre Hospitalier Universitaire de Besançon · FRUniversité de franche-comté · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The protein kinase B or Akt is a central regulator of survival, metabolism, growth and proliferation of the cells and is known to be targeted by various viral pathogens, including HIV-1. The central role of Akt makes it a critical player in HIV-1 pathogenesis, notably by affecting viral entry, latency and reactivation, cell survival, viral spread and immune response to the infection. Several HIV proteins activate the PI3K/Akt pathway, to fuel the progression of the infection. Targeting Akt could help control HIV-1 entry, viral latency/replication, cell survival of infected cells, HIV spread from cell-to-cell, and the immune microenvironment which could ultimately allow to curtail the size of the HIV reservoir. Beside the "shock and kill" and "block and lock" strategies, the use of Akt inhibitors in combination with latency inducing agents, could favor the clearance of infected cells and be part of new therapeutic strategies with the goal to "block and clear" HIV.

Indexed as

HIV-1HIV InfectionsCD4-Positive T-LymphocytesHumansPhosphatidylinositol 3-KinasesVirus ActivationVirus LatencyAktblock-and-clearblock-and-lockHIVlatencyPI3Kreactivationshock-and-kill

Identifiers

PMID35186800
PMCPMC8856111
OpenAlexW4210358190

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.