Proteasome Inhibition<i>In Vivo</i>Promotes Survival in a Lethal Murine Model of Severe Acute Respiratory Syndrome
Bibliographic record
Abstract
Ubiquitination is a critical regulator of the host immune response to viral infection, and many viruses, including coronaviruses, encode proteins that target the ubiquitination system. To explore the link between coronavirus infection and the ubiquitin system, we asked whether protein degradation by the 26S proteasome plays a role in severe coronavirus infections using a murine model of SARS-like pneumonitis induced by murine hepatitis virus strain 1 (MHV-1). In vitro, the pretreatment of peritoneal macrophages with inhibitors of the proteasome (pyrrolidine dithiocarbamate [PDTC], MG132, and PS-341) markedly inhibited MHV-1 replication at an early step in its replication cycle, as evidenced by inhibition of viral RNA production. Proteasome inhibition also blocked viral cytotoxicity in macrophages, as well as the induction of inflammatory mediators such as IP-10, gamma interferon (IFN-γ), and monocyte chemoattractant protein 1 (MCP-1). In vivo, intranasal inoculation of MHV-1 results in a lethal pneumonitis in A/J mice. Treatment of A/J mice with the proteasome inhibitor PDTC, MG132, or PS-341 led to 40% survival (P < 0.01), with a concomitant improvement of lung histology, reduced pulmonary viral replication, decreased pulmonary STAT phosphorylation, and reduced pulmonary inflammatory cytokine expression. These data demonstrate that inhibition of the cellular proteasome attenuates pneumonitis and cytokine gene expression in vivo by reducing MHV-1 replication and the resulting inflammatory response. The results further suggest that targeting the proteasome may be an effective new treatment for severe coronavirus infections.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 teacher head, 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".