Human Coronavirus-Induced Neuronal Programmed Cell Death Is Cyclophilin D Dependent and Potentially Caspase Dispensable
Bibliographic record
Abstract
Human coronaviruses (HCoV) are recognized respiratory pathogens. Some HCoV strains, including HCoV-OC43, can invade the central nervous system, where they infect neurons, with unclear consequences. We have previously reported that HCoV-OC43 infection of human neurons activates the unfolded-protein response and caspase-3 and induces cell death and that the viral spike (S) glycoprotein is involved in the process. We now report on underlying mechanisms associated with the induction of programmed cell death (PCD) after infection by the reference HCoV-OC43 virus (rOC/ATCC) and a more neurovirulent and cytotoxic HCoV-OC43 variant harboring two point mutations in the S glycoprotein (rOC/U(S183-241)). Even though caspase-3 and caspase-9 were both activated after infection, the use of caspase inhibitors neither reduced nor delayed virus-induced PCD, suggesting that these proteases are not essential in the process. On the other hand, the proapoptotic proteins BAX, cytochrome c (CytC), and apoptosis-inducing factor (AIF) were relocalized toward the mitochondria, cytosol, and nucleus, respectively, after infection by both virus variants. Moreover, LA-N-5 neuronal cells treated with cyclosporine (CsA), an inhibitor of the mitochondrial permeabilization transition pore (mPTP), or knocked down for cyclophilin D (CypD) were completely protected from rOC/ATCC-induced neuronal PCD, underlining the involvement of CypD in the process. On the other hand, CsA and CypD knockdown had moderate effects on rOC/U(S183-241)-induced PCD. In conclusion, our results are consistent with mitochondrial AIF and cyclophilin D being central in HCoV-OC43-induced PCD, while caspases appear not to be essential.
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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) | 0.001 | 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".