In vitro and in vivo efficacy of tecovirimat against a recently emerged 2022 monkeypox virus isolate
Bibliographic record
Abstract
The recent emergence of the monkeypox virus (MPXV) in non-endemic countries has been designated a Public Health Emergency of International Concern by the World Health Organization. There are currently no approved treatments for MPXV infection in the United States or Canada. The antiviral drug tecovirimat (commonly called TPOXX), previously approved for smallpox treatment, is currently being deployed for treatment of MPXV infections where available based on previously accrued data. We tested the efficacy of TPOXX both in vitro and in vivo against a clade 2 Canadian 2022 isolate of MPXV isolated during the current outbreak. TPOXX prevented MPXV replication in vitro with an effective concentration in the nanomolar range. To evaluate TPOXX efficacy in vivo, we first characterized the CAST/EiJ mouse model with the same 2022 Canadian isolate. Unlike previous descriptions of this model, the Canadian isolate was not lethal in CAST/EiJ mice, although it replicated efficiently in the respiratory tract after intranasal infection. Subsequent experiments demonstrated that daily oral TPOXX treatment markedly reduced viral titers in the tissues 1 and 2 weeks after infection. Our data indicate that TPOXX is highly effective against currently circulating MPXV strains and could be an important contributor to curbing the ongoing outbreak.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".