Abstract 18520: Impaired Ubiquitin-Proteasome Function in Right Ventricular Myocardium Correlates to Postoperative Outcomes in Tetralogy of Fallot
Bibliographic record
Abstract
Introduction: At the time of initial repair, patients with Tetralogy of Fallot (TOF) undergo a sudden shift from a pressure to volume loaded right ventricle (RV). It is difficult to predict how TOF RVs will respond to this hemodynamic transition. Identifying mechanisms and targets may enable interventions to improve outcomes. Hypothesis: RV myocardial gene expression profiles at the time of TOF repair correlate to pre- and early postoperative clinical outcomes. Methods: RNAseq was performed from RV myocardium resected at the time of initial TOF repair (n=44). Gene expression profiling was performed using a weighted gene correlation network analysis (WGCNA) against pre- and post-op clinical variables. Mouse pulmonary artery band (PAB, n=9) stratified by degree of RV dilation was used to correlate pathways. Results: WGCNA identified a gene module that was associated with younger age at repair and worse TOF postop outcomes (prolonged milrinone, decreased right atrial and right ventricular strain) without a concomitant association with preop oxygen saturation. Biological process gene-set enrichment analysis using the 2023 Gene Ontology library revealed enrichment of regulators for ubiquitination, cell cycle/mitosis, DNA repair, microtubule polymerization, and Rho/GTPase. PAB mouse RV demonstrated a RV-dilation severity-dependent increase in bound ubiquitin (R 2 =0.61, p=0.01) and loss of free ubiquitin (R 2 =0.72, p=0.004; Figure). Conclusions: WGCNA reveals a RV myocardial gene expression profile that is associated with preoperative characteristics and early postoperative outcomes, and which is enriched for ubiquitination regulators. The PAB mouse recapitulates a severity-dependent increase in bound ubiquitin and loss of free ubiquitin which is consistent with literature suggesting proteostatic dysfunction and accumulation of misfolded proteins in RVF. Targeting proteostatic disruption prior to TOF repair may improve postoperative 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".