Cellular protein quality control in viral myocarditis: molecular mechanisms and therapeutic implication
Bibliographic record
Abstract
SUMMARYViral myocarditis, an inflammatory disease of the myocardium caused by viral infections, poses a significant global health concern, particularly in young adults and children. This condition often progresses to dilated cardiomyopathy and heart failure, underscoring the urgent need for a deeper understanding of its underlying mechanisms. Central to its pathogenesis is the disruption of protein quality control (PQC) system, which is essential for maintaining cardiac proteostasis under both physiological and pathological conditions. This system, comprising molecular chaperones, the ubiquitin-proteasome system, and autophagy pathways, collectively ensures cellular homeostasis. In viral myocarditis, viral replication and host immune responses impose substantial stress on cardiomyocytes, overwhelming the PQC mechanisms. Consequently, misfolded and aggregated proteins, as well as damaged organelles, accumulate, further aggravating myocardial injury. Notably, while PQC pathways play a critical role in limiting viral replication and protecting cardiomyocytes, viruses can subvert these systems to enhance their own replication and provoke maladaptive responses, thereby worsening cardiac injury. This review summarizes current knowledge on the complex interplay between PQC system and viral myocarditis, highlights key knowledge gaps, and discusses potential therapeutic strategies to preserve cardiac function and improve clinical outcomes.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".