Autophagy-enhancing strategies to promote intestinal viral resistance and mucosal barrier function in SARS-CoV-2 infection
Bibliographic record
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of Coronavirus disease 19 (COVID-19), continues to circulate globally despite the widespread vaccination and therapeutics like Paxlovid, remdesivir, and molnupiravir. COVID-19 is associated with both respiratory and gastrointestinal manifestations, with persistent intestinal pathology contributing to the post-COVID-19 condition. We have previously demonstrated the antiviral activity of autophagy-blocking drugs, such as Berbamine dihydrochloride, against intestinal SARS-CoV-2 acquisition. In addition, the autophagy blockers restored the barrier function of infected intestinal epithelium. In this addendum, using human intestinal organoids, we present evidence for a protective role of intrinsic higher levels of autophagy flux in limiting intestinal SARS-CoV-2 infection. Pharmacological treatment with Akt inhibitor MK-2206 hydrochloride suppressed viral entry into the intestinal epithelium. This antiviral effect of MK-2206 was shown to be dependent on Synaptosomal-associated protein 29-dependent (SNAP-29)-mediated autophagy flux. Furthermore, extrinsically enhanced autophagy with MK-2206 also prevented SARS-CoV-2-induced intestinal barrier damage. Our findings thus underscore the intricate role of autophagy pathways in the dissemination and pathogenesis of intestinal SARS-CoV-2, highlighting the therapeutic potential of host-directed therapies targeting autophagy to intervene in COVID-19-associated sequelae and improve intestinal health.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".