Evidence map›Paper›PMID 38676495›Full record

ArticleCurrent drug discovery technologies2025

Rezvan Kakavand-Ghalehnoei, Elham Patrad, Mehrdad Ravanshad

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Article in Current drug discovery technologies, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 94% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 1 country.

Rezvan Kakavand-GhalehnoeiDepartment of Virology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.ORCID 0000-0001-8918-2506
Elham PatradCancer Research Center, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0003-0629-732X
Mehrdad RavanshadDepartment of Virology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.ORCID 0000-0003-1808-2481
Tarbiat Modares University · IRMotamed Cancer Institute · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHuman Immunodeficiency Virus (HIV) is a retrovirus with single-stranded RNA that leads to the challenging disease of acquired immunodeficiency syndrome (AIDS). Combination antiretroviral therapy (cART) can prevent the progression of the disease, but it is not capable of long-term HIV elimination. One of the significant obstacles to treating HIV-1-infected individuals is the creation of latent cell reservoirs early in the infection. Gene-based therapies that utilize RNA interference (RNAi) to silence host or viral gene expression are considered promising therapeutic approaches. It has been demonstrated that RUNX1, a T-cell-specific transcription factor, may significantly affect HIV replication and infection. According to accumulating evidence on the role of interfering RNA techniques in inhibiting gene expression and considering the role of RUNX1 in the replication of HIV-1. In this study, we aim to design shRNAs against RUNX1 that can target the replication of HIV-1.

methodsSeveral computational methods, including target alignment, similarity search, and secondary structure prediction, have been employed in the design of shRNA against RUNX1.

resultsSeven shRNA molecules with the highest efficiency were designed and validated using computational methods to silence the RUNX1 gene.

conclusionIn the present study, we designed shRNA against RUNX1, which can target latent cells infected with HIV. Suppression of RUNX1 by shRNA reactivates HIV in the latent cells and subsequently potentiates the immune response toward identifying accurate virus-infected cells. This process may lead to an effective and efficient reduction of the volume of cell reservoirs infected with HIV.

Indexed as

Core Binding Factor Alpha 2 SubunitHIV-1HIV InfectionsRNA, Small InterferingComputer SimulationHumansRNA InterferenceVirus ReplicationCore Binding Factor Alpha 2 SubunitRNA, Small InterferingRUNX1 protein, humanCD4+ cells.HIVIn silicoRNAiRUNX1ShRNA

Identifiers

PMID38676495
OpenAlexW4395695156

What OpenQuestion holds

Textmetadata
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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.