Neurovirulence and latency of drug‐resistant clinical herpes simplex viruses in animal models
Bibliographic record
Abstract
Herpes simplex virus (HSV) resistance to acyclovir or foscarnet results from mutations in viral thymidine kinase (TK) and/or DNA polymerase (pol) genes. Replication kinetics and virulence of TK and/or DNA pol clinical mutants were assessed using models of mouse encephalitis and cotton rat genital infection. Replication capacities in Vero cells of a DNA pol altered strain (L850I) and a TK/DNA pol mutant (C467deletion/A912V) were significantly lower than those of unrelated wild-type (WT) strains, while a double DNA pol mutant (S724N/P920S) demonstrated replication kinetics similar to the WT. The replication of a TK-deficient mutant (G439.5addition) was impaired (low m.o.i.) or unaltered (high m.o.i.) compared to that of a WT virus depending on the viral inoculum. Compared to a survival rate of 6% for mice infected intranasally with WT HSV-1 or -2 viruses, G439.5add, C467deletion/A912V and L850I strains were associated with survival rates of 100% (P < 0.05) whereas mice infected with the S724N/P920S mutant had a survival rate of 33% (P = 0.08). Brain viral titers were higher in mice infected with WT HSV-1 or -2 strains and the double DNA pol mutant. All strains except the DNA pol mutant L850I were able to establish latency in the dorsal root ganglia of cotton rats. A good correlation was generally found between replication kinetics of DNA pol mutants and their neurovirulence potential in mice whereas such correlation was not straightforward for TK mutants.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".