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Record W4413354234 · doi:10.1128/mmbr.00177-25

Cellular protein quality control in viral myocarditis: molecular mechanisms and therapeutic implication

2025· review· en· W4413354234 on OpenAlexaff
Yasir Mohamud, Jing Fei Carly Lin, Sinwoo Wendy Hwang, Amirhossein Bahreyni, Honglin Luo

Bibliographic record

VenueMicrobiology and Molecular Biology Reviews · 2025
Typereview
Languageen
FieldMedicine
TopicViral Infections and Immunology Research
Canadian institutionsSt. Paul's HospitalUniversity of British Columbia
Fundersnot available
KeywordsProteostasisViral MyocarditisBiologyViral replicationMyocarditisProteasomeAutophagyCardiomyopathyMechanism (biology)Immune systemViral pathogenesisHeart failureDiseaseImmunologyVirusBioinformaticsCell biologyMedicineGeneticsPathology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.986
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.030
GPT teacher head0.382
Teacher spread0.352 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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