Enzymatic Activity of Lysosomal Carboxypeptidase (Cathepsin) A Is Required for Proper Elastic Fiber Formation and Inactivation of Endothelin-1
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Lysosomal carboxypeptidase, cathepsin A (protective protein, CathA), is a component of the lysosomal multienzyme complex along with beta-galactosidase (GAL) and sialidase Neu1, where it activates Neu1 and protects GAL and Neu1 against the rapid proteolytic degradation. On the cell surface, CathA, Neu1, and the enzymatically inactive splice variant of GAL form the elastin-binding protein complex. In humans, genetic defects of CathA cause galactosialidosis, a metabolic disease characterized by combined deficiency of CathA, GAL, and Neu1 and a lysosomal storage of sialylated glycoconjugates. However, several phenotypic features of galactosialidosis patients, including hypertension and cardiomyopathies, cannot be explained by the lysosomal storage. These observations suggest that CathA may be involved in hemodynamic functions that go beyond its protective activity in the lysosome. METHODS AND RESULTS: We generated a gene-targeted mouse in which the active CathA was replaced with a mutant enzyme carrying a Ser190Ala substitution in the active site. These animals expressed physiological amounts of catalytically inactive CathA protein, capable of forming lysosomal multienzyme complex, and did not develop secondary deficiency of Neu1 and GAL. Conversely, the mice showed a reduced degradation rate of the vasoconstrictor peptide, endothelin-1, and significantly increased arterial blood pressure. CathA-deficient mice also displayed scarcity of elastic fibers in lungs, aortic adventitia, and skin. CONCLUSIONS: Our results provide the first evidence that CathA acts in vivo as an endothelin-1-inactivating enzyme and strongly confirm a crucial role of this enzyme in effective elastic fiber formation.
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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 | 0.000 |
| 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) | 0.000 | 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 it