Early Sertoli cell gene expression regulates pathogenesis in response to Ebola virus
Bibliographic record
Abstract
Abstract Ebola virus (EBOV) persists and actively replicates in the reproductive tract of up to 50% of male disease survivors six month after infection1. Persistent EBOV infections are usually asymptomatic and can be transmitted sexually, but the host and viral factors that mediate these infections have not been characterized2,3. We assessed viral replication kinetics and host responses of mouse testicular Leydig and Sertoli cells infected with wild-type EBOV Makona (wtEBOV) and collected samples up to 28 days post-infection. While maximum EBOV viral load was similar in both cell types, viral transcription and replication was delayed in Sertoli cells compared to Leydig cells. Using RNAseq analysis, we found that Sertoli cells responded to wtEBOV infection more rapidly and robustly than did Leydig cells, and that early differential gene expression was primarily associated with membrane function and cell cycle activity. Experiments conducted with an EBOV virus-like particle model (vlpEBOV) indicated that differences in Leydig and Sertoli cell response occurred less than one-hour post-treatment, and evidence indicated that Sertoli cells limit early EBOV entry and/or transcription. Based on our analysis, we discuss how the roles played by Sertoli cells in immune privilege and spermatogenesis may affect their initial and continued response to EBOV infection and facilitate asymptomatic persistence.
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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) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".