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Record W2052047639 · doi:10.1128/jvi.00105-14

Inhibition of Hepatitis C Virus in Chimeric Mice by Short Synthetic Hairpin RNAs: Sequence Analysis of Surviving Virus Shows Added Selective Pressure of Combination Therapy

2014· article· en· W2052047639 on OpenAlexaff
Anne Dallas, Heini Ilves, Han Ma, Daniel J. Chin, Ian MacLachlan, Klaus Klumpp, Brian H. Johnston

Bibliographic record

VenueJournal of Virology · 2014
Typearticle
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsArbutus Biopharma (Canada)
FundersNational Institute of Allergy and Infectious Diseases
KeywordsBiologyVirologyHepatitis C virusVirusRNAViral replicationRNA interferenceHepatitis B virusMolecular biologyGeneticsGene

Abstract

fetched live from OpenAlex

UNLABELLED: We have recently shown that a cocktail of two short synthetic hairpin RNAs (sshRNAs), targeting the internal ribosome entry site of hepatitis C virus (HCV) formulated with lipid nanoparticles, was able to suppress viral replication in chimeric mice infected with HCV GT1a by up to 2.5 log10 (H. Ma et al., Gastroenterology 146:63-66.e5, http://dx.doi.org/10.1053/j.gastro.2013.09.049) Viral load remained about 1 log10 below pretreatment levels 21 days after the end of dosing. We have now sequenced the HCV viral RNA amplified from serum of treated mice after the 21-day follow-up period. Viral RNA from the HCV sshRNA-treated groups was altered in sequences complementary to the sshRNAs and nowhere else in the 500-nucleotide sequenced region, while the viruses from the control group that received an irrelevant sshRNA had no mutations in that region. The ability of the most commonly selected mutations to confer resistance to the sshRNAs was confirmed in vitro by introducing those mutations into HCV-luciferase reporters. The mutations most frequently selected by sshRNA treatment within the sshRNA target sequence occurred at the most polymorphic residues, as identified from an analysis of available clinical isolates. These results demonstrate a direct antiviral activity with effective HCV suppression, demonstrate the added selective pressure of combination therapy, and confirm an RNA interference (RNAi) mechanism of action. IMPORTANCE: This study presents a detailed analysis of the impact of treating a hepatitis C virus (HCV)-infected animal with synthetic hairpin-shaped RNAs that can degrade the virus's RNA genome. These RNAs can reduce the viral load in these animals by over 99% after 1 to 2 injections. The study results confirm that the viral rebound that often occurred a few weeks after treatment is due to emergence of a virus whose genome is mutated in the sequences targeted by the RNAs. The use of two RNA inhibitors, which is more effective than use of either one by itself, requires that any resistant virus have mutations in the targets sites of both agents, a higher hurdle, if the virus is to retain the ability to replicate efficiently. These results demonstrate a direct antiviral activity with effective HCV suppression, demonstrate the added selective pressure of combination therapy, and confirm an RNAi mechanism of action.

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 score0.003

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.316
Teacher spread0.293 · 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
Published2014
Admission routes1
Has abstractyes

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