Inhibition of Human Metapneumovirus Replication by Small Interfering RNA
Bibliographic record
Abstract
BACKGROUND: Human metapneumovirus (hMPV) is a major respiratory viral pathogen in young children, elderly individuals and immunocompromised patients. Despite its major effects related to bronchiolitis, pneumonia and its potential role in recurrent wheezing episodes, there is still no commercial treatment or vaccine available against this paramyxovirus. METHODS: We tested a therapeutic strategy for hMPV that was based on RNA interference. RESULTS: An hMPV genome-wide search for small interfering RNAs (siRNAs) by computational analysis revealed 200 potentially effective 21-mer siRNAs. Initial screening with a luciferase assay identified 57 siRNAs of interest. Further evaluation of their inhibitory potential against the four hMPV subgroups by quantitative real-time reverse transcriptase PCR and plaque immunoassay identified two highly potent siRNAs with 50% inhibitory concentration (IC50) values in the subnanomolar range. siRNA45 targets the nucleoprotein messenger RNA (mRNA) and had IC50 values <0.078 nM against representative strains from the four hMPV subgroups, whereas siRNA60, which targets the phosphoprotein mRNA, had IC50 values between 0.090-<0.078 nM against the same panel of hMPV strains. Longer25/27-mer siRNAs known as Dicer substrates designed from the top two siRNA candidates were also evaluated and were at least as effective as their corresponding 21-mer siRNAs. Interestingly, the presence of one or two nucleotide mismatches in the target mRNA sequence of some hMPV subgroups did not always affect hMPV inhibition in vitro. CONCLUSIONS: We successfully identified two highly efficient siRNAs against hMPV targeting essential components of the hMPV replication complex.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".