Differentiation-dependent expression of cathepsin D and importance of lysosomal proteolysis in the degradation of UCP1 in brown adipocytes
Bibliographic record
Abstract
The lysosomal protease cathepsin D increased markedly in brown adipocytes during differentiation in primary cultures. Differentiated cells had 20 times the amount of immunoreactive cathepsin D found in preadipocytes. Cathepsin D mRNA, as estimated by relative RT-PCR, was also present in higher amounts in differentiated brown fat cells. Cathepsin D expression was not influenced by repeated exposures of brown adipocytes to norepinephrine (NE). Cathepsin D levels were also unchanged when NE was withdrawn for 48 h after cells had been exposed to NE for 7 days. In contrast, exposure of the cells to NE for 7 days increased their UCP1 content by more than twofold, which returned to basal levels within 48 h of withholding NE. The half-life of UCP1 under basal conditions and in cells chronically exposed to NE was estimated from reductions in [35S]methionine-labelled immunoprecipitable UCP1 over 72 h. UCP1 t1/2 under basal conditions was 3.7+/-0.4 days, which was similar to the half-lives of labelled mitochondrial translation products (3.6+/-0.8 days). The turnover rates of both UCP1 and mitochondrial translation products were reduced by NE. The turnover rate of UCP1 in the presence or absence of NE cannot account solely for the rapid loss of UCP1 from brown adipocytes upon withdrawal of NE. This loss was reduced when cells were incubated with inhibitors of phosphatidylinositol 3-kinases (PI 3-kinase), previously shown to block formation of autophagic vacuoles. Thus, brown adipocytes acquire a large capacity for both uncoupled metabolism and for lysosomal proteolysis during differentiation. Withdrawal of NE, as often occurs in vivo from suppression of sympathetic nervous system activity, would not only terminate thermogenesis but also favor formation of autophagic vacuoles to rapidly reduce the cell content of UCP1-containing mitochondria.
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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".