Effects of interferon-α on cytopathic changes and titers for feline herpesvirus-1 in primary cultures of feline corneal epithelial cells
Bibliographic record
Abstract
OBJECTIVE: To assess the effect of interferon (IFN)-alpha on viability of feline corneal epithelial cells, replication of feline herpesvirus (FHV)-1, and virus-induced cytopathic changes. SAMPLE POPULATION: Healthy eyes from 10 recently euthanatized cats. PROCEDURE: 4 replicate primary cultures of feline corneal epithelial cells were grown after the addition of 10(2) to 10(6) IU of IFN-alpha/mL. Cultures were examined every 24 hours for evidence of cytotoxic changes. Viable cell counts and percentage of viable cells were determined 48 hours after initiation of culture. In a separate experiment, cultures of corneal cells were inoculated with FHV-1 and cultured for 72 hours with or without 10(5) IU of IFN-alpha/mL. The FHV-1-infected cultures were evaluated for viral-induced cytopathic effects, and viral titers were determined in samples of culture supernatant. RESULTS: Interferon-alpha did not have cytotoxic effects on corneal epithelial cells at concentrations ranging from 10(2) to 10(6) IU of IFN-alpha/mL. Interferon-alpha at a concentration of 10(5) IU/mL significantly reduced the cytopathic changes and FHV-1 titers. CONCLUSIONS AND CLINICAL RELEVANCE: Lack of in vitro cytotoxic effects and efficacy against FHV-1 infection in primary cultures of feline corneal cells suggests that the in vivo therapeutic effect of IFN-a should be assessed in controlled clinical trials.
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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 | 0.001 | 0.000 |
| 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) | 0.002 | 0.001 |
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.
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".