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Disruption of Rho GTPase Prenylation by Statins Inhibits Respiratory Syncytial Virus

2019· article· en· W3177031459 on OpenAlexaff
Manpreet Malhi, Michael Norris, Wenming Duan, Jason T. Maynes

Bibliographic record

VenueThe FASEB Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsRHOAVirusPrenylationVirologyBiologyChemistryBiochemistrySignal transductionEnzyme

Abstract

fetched live from OpenAlex

INTRODUCTION Respiratory syncytial virus (RSV) is a leading cause of acute lower respiratory tract infections necessitating hospitalization in the pediatric population. Despite the significant healthcare burden associated with RSV, few options are available to prevent or treat infection. To address the lack of therapeutic strategies for RSV, we developed a high content screening platform to identify small molecule inhibitors of the virus. Following a screen of 2400 compounds, statins were found to significantly reduce RSV infection rates. Here we show that statin‐mediated disruption of isoprenoid biosynthesis and Rho GTPase prenylation blocks late events within the life cycle of RSV, including protein trafficking and viral assembly. METHODS To screen for inhibitors of RSV, human laryngeal epidermoid carcinoma (HEp‐2) cells were infected with recombinant RSV engineered to express green fluorescent protein (GFP). Automated image analysis algorithms were used to quantify infection rate by measuring the proportion of GFP‐fluorescent cells. Statin‐induced changes to the life cycle of RSV were determined by immunofluorescence microscopy and temporal quantification of viral fusion and nucleoproteins. Effects on protein prenylation by statins and RSV were evaluated via click chemistry using azide‐modified isoprenoids with a biotin‐alkyne detection reagent. Rho GTPase activity was quantified by Western blot following affinity purification of active, GTP‐bound RhoA or Rac1. RESULTS Inhibition of RSV by statins was dose‐dependent with an effective concentration (EC50) of 1 μM. Viral events occurring >12 hours post‐infection, including protein trafficking and assembly, were inhibited by statins, whereas early events, such as viral entry, were unaffected. Viral trafficking and assembly are thought to be mediated by Rho GTPases, a group of prenylated proteins which modulate dynamics of the actin cytoskeleton. We found that RhoA‐specific inhibition by Rhosin (50 μM) moderately reduced RSV infection rate (26 ± 6% reduction), but Rac1‐specific inhibition by EHT1864 (20 μM) elicited a profound effect (90 ± 2% reduction). Critically, RSV infection promoted Rac1 prenylation and activity, while statin treatment blocked Rac1 prenylation and reduced active, GTP‐bound protein by 2.5‐fold. CONCLUSIONS Our results demonstrate the importance of protein prenylation to RSV infection and perturbation of this process by statins. Inhibition of Rac1 prenylation and activity by statins serves to block viral protein trafficking and assembly. Based on our findings, we propose repurposing statins as a treatment for RSV as these drugs potently inhibit the virus, are US Food and Drug Administration approved and have favorable clinical safety profiles. This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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 score0.001
Threshold uncertainty score0.004

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)0.0010.001

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 head0.033
GPT teacher head0.343
Teacher spread0.309 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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