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Record W4386725985 · doi:10.1128/jvi.00396-23

On a path toward a broad-spectrum anti-viral: inhibition of HIV-1 and coronavirus replication by SR kinase inhibitor harmine

2023· article· en· W4386725985 on OpenAlexafffund
Subha Dahal, Kiera Clayton, Tyler Cabral, Ran Cheng, Shahrzad Jahanshahi, C. M. Sabbir Ahmed, Amrit Koirala, Alonso Villasmil Ocando, Ramy Malty, Terek Been, Maria Mangos, D. T. Shen, Mohan Babu, John A. Calarco, Benoı̂t Chabot, Liliana Attisano, Walid A. Houry, Alan Cochrane

Bibliographic record

VenueJournal of Virology · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsUniversité de SherbrookeUniversity of ReginaUniversity of Toronto
FundersUniversity of TorontoGovernment of CanadaCanadian Institutes of Health ResearchCanadian Foundation for AIDS Research
KeywordsBiologyHarmineViral replicationGene expressionKinaseVirologyViral life cycleViral entryCoronavirusVirusGeneCell biologyGeneticsPharmacology

Abstract

fetched live from OpenAlex

ABSTRACT RNA processing plays a key role in gene expression, allowing for increased protein diversity and functional complexity. Consequently, modulating RNA processing can impact gene function. Given HIV-1’s reliance on host RNA processing machinery for viral protein production/replication, modulators of this process could serve as novel anti-virals to complement and/or enhance existing therapies. In this study, screening of several serine-arginine-rich (SR) kinase inhibitors for their impact on HIV-1 gene expression identified harmine as an inhibitor of HIV-1 gene expression in several cell lines and primary CD4 + T cells/macrophages at low micromolar concentrations with limited cell toxicity. Harmine induced a loss of viral structural protein expression associated with reduced HIV-1 unspliced and singly-spliced HIV-1 RNA levels but limited impact on multiply spliced RNAs. Although harmine is a known inhibitor of both DYRK1A and monoaminoxidase A (MAO A), neither DYRK1A depletion nor other MAO A inhibitors had any effect on HIV-1 expression. However, the compound altered the expression of several other SR kinases in primary CD4 + T cells, increasing CLK1 and reducing CLK2 kinase levels, effects known to regulate HIV-1 expression. Harmine was also unique among the SR kinase inhibitors tested for its ability to suppress replication of a seasonal coronavirus, human coronavirus (HCoV)-229E, and multiple severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants, reducing viral protein expression and virus release. Harmine acts post-entry, arresting virus replication even after the onset of viral protein production. At doses required to suppress HIV-1 replication, harmine had limited impact on the host transcriptome, alternative splicing, or alterative polyadenylation as assessed by RNA-Seq. Together, our study demonstrates the feasibility of targeting host RNA processing to inhibit a range of viruses with minimal impact on the host cell. IMPORTANCE This study highlights the crucial role RNA processing plays in regulating viral gene expression and replication. By targeting SR kinases, we identified harmine as a potent inhibitor of HIV-1 as well as coronavirus (HCoV-229E and multiple SARS-CoV-2 variants) replication. Harmine inhibits HIV-1 protein expression and reduces accumulation of HIV-1 RNAs in both cell lines and primary CD4 + T cells. Harmine also suppresses coronavirus replication post-viral entry by preferentially reducing coronavirus sub-genomic RNA accumulation. By focusing on host factors rather than viral targets, our study offers a novel approach to combating viral infections that is effective against a range of unrelated viruses. Moreover, at doses required to inhibit virus replication, harmine had limited toxicity and minimal effect on the host transcriptome. These findings support the viability of targeting host cellular processes as a means of developing broad-spectrum anti-virals.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.292
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations15
Published2023
Admission routes2
Has abstractyes

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