The Heparan Sulfate Proteoglycan Glypican-6 Is Upregulated in the Failing Heart, and Regulates Cardiomyocyte Growth through ERK1/2 Signaling
Bibliographic record
Abstract
Pressure overload is a frequent cause of heart failure. Heart failure affects millions of patients worldwide and is a major cause of morbidity and mortality. Cell surface proteoglycans are emerging as molecular players in cardiac remodeling, and increased knowledge about their regulation and function is needed for improved understanding of cardiac pathogenesis. Here we investigated glypicans (GPC1-6), a family of evolutionary conserved heparan sulfate proteoglycans anchored to the extracellular leaflet of the cell membrane, in experimental and clinical heart failure, and explored the function of glypican-6 in cardiac cells in vitro. In mice subjected to pressure overload by aortic banding (AB), we observed elevated glypican-6 levels during hypertrophic remodeling and dilated, end-stage heart failure. Consistently, glypican-6 mRNA was elevated in left ventricular myocardium from explanted hearts of patients with end-stage, dilated heart failure with reduced ejection fraction. Glypican-6 levels correlated negatively with left ventricular ejection fraction in patients, and positively with lung weight after AB in mice. Glypican-6 mRNA was expressed in both cardiac fibroblasts and cardiomyocytes, and the corresponding protein displayed different sizes in the two cell types due to tissue-specific glycanation. Importantly, adenoviral overexpression of glypican-6 in cultured cardiomyocytes increased protein synthesis and induced mRNA levels of the pro-hypertrophic signature gene ACTA1 and the hypertrophy and heart failure signature genes encoding natriuretic peptides, NPPA and NPPB. Overexpression of GPC6 induced ERK1/2 phosphorylation, and co-treatment with the ERK inhibitor U0126 attenuated the GPC6-induced increase in NPPA, NPPB and protein synthesis. In conclusion, our data suggests that glypican-6 plays a role in clinical and experimental heart failure progression by regulating cardiomyocyte growth through ERK signaling.
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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 | 0.000 | 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) | 0.001 | 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 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".