Herpes simplex virus type 1-encoded glycoprotein C enhances coagulation factor VIIa activity on the virus
Bibliographic record
Abstract
Tissue factor (TF) is the blood coagulation initiator, whose cofactor function is required for physiological factor VIIa (FVIIa)-mediated activation of factor X (FX) to FXa. A previous study reported TF on herpes simplex virus type 1 (HSV1), but this explained only part of FVIIa-dependent FXa generation observed on the virus surface (Sutherland et al. (1997) Proc. Natl. Acad. Sci. USA. 94:13510-14). In the current study, we investigated the role of HSV1-encoded glycoprotein C (gC) in this process. Purified gC-deficient HSV1 facilitated several fold less FX activation by FVIIa than either wild type or gC-rescued strains. To confirm the implication of gC in FVIIa-dependent FX activation, purified soluble gC (sgC) enhanced FXa production in the absence of TF. sgC required FVIIa, calcium and anionic phospholipid to participate in FX activation, suggesting similarity to TF. When purified virus was combined with sgC, the sgC-dependent FXa generation was enhanced three orders of magnitude, suggesting synergy with an additional HSV1 component and explaining the relatively low activity of purified sgC compared to the viral counterpart. FX activation on gC-competent HSV1 was inhibited 20% by a gC-specific antibody, inhibited 40% by a TF-specific antibody, inhibited 65% by combining the gC- and TF-specific antibodies, and nearly completely inhibited by the TF antibody alone on gC-deficient HSV-1. Cumulatively, these observations show that two pathways initiating FX activation function in parallel on the virus surface. In addition to the previously described TF-dependent pathway, HSV-1-encoded gC also enhances FXa generation, and like TF, requires FVIIa.
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 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) | 0.002 | 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".