Clinical Evaluation of Potential Interaction Between Bemnifosbuvir and Ruzasvir With an Assessment of Food Effect: Results of a Phase 1 Study in Healthy Participants
Bibliographic record
Abstract
A combination of nucleotide hepatitis C virus (HCV) nonstructural protein (NS) 5B and 5A inhibitors is a preferred standard of care for treating chronic HCV. Bemnifosbuvir is a novel oral guanosine nucleotide prodrug with potent pan-genotypic inhibitory activity against HCV NS5B. Ruzasvir, a small-molecule NS5A inhibitor, has demonstrated improved anti-HCV activity compared with first-generation NS5A inhibitors. Clinical studies have demonstrated favorable efficacy and safety of bemnifosbuvir and ruzasvir in combination with other NS5A and NS5B inhibitors, respectively. A Phase 1 study in healthy participants was conducted to assess the drug-drug interaction potential between bemnifosbuvir and ruzasvir, as well as food effects following coadministration of both compounds. Under fasted conditions, the peak, trough, and total exposure to bemnifosbuvir and its metabolites were increased upon coadministration with ruzasvir (by a maximum of 33% vs bemnifosbuvir alone), whereas the corresponding values for ruzasvir were decreased upon coadministration with bemnifosbuvir (by a maximum of 26% vs ruzasvir alone). Food delayed peak exposure to both drugs (by up to 2 hours) while increasing their peak and total exposure by up to 63%. No serious adverse events or premature drug discontinuations were reported. Overall, the study results support further evaluation of bemnifosbuvir and ruzasvir combination therapy for treating chronic HCV.
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 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 | 0.021 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".