Endoplasmic reticulum stress inhibits collagen synthesis independent of collagen-modifying enzymes in different chondrocyte populations and dermal fibroblasts
Bibliographic record
Abstract
Chondrocytes respond to glucose deprivation with a decreased collagen synthesis due to disruption of a proper functioning of the endoplasmic reticulum (ER): ER stress. Since the mechanisms involved in the decreased synthesis are unknown, we have investigated whether chaperones and collagen-modifying enzymes are affected by glucose deprivation. Chondrocytes obtained from nucleus pulposus, annulus fibrosus, articular cartilage, and meniscus and dermal fibroblasts were cultured under control conditions or exposed to the ER stress-inducing treatments of tunicamycin addition or glucose withdrawal. Both treatments resulted in an up-regulation of the gene expression of the ER stress markers in all cell types, but dermal fibroblasts showed a delayed response to glucose deprivation. Collagen gene expression was down-regulated, and less collagen protein was present in the cells under both ER stress-inducing conditions. The expression levels of the prolyl 4-hydroxylases were either not affected (P4ha3) or increased (P4ha1 and P4ha2), the levels of the lysyl hydroxylases decreased, and the N-propeptidase Adamts2 decreased. Both treatments induced apoptosis. Chondrocytes respond more quickly to glucose deprivation, but it appears that chondrocytes can cope better with tunicamycin-induced ER stress than fibroblasts. Although collagen synthesis was inhibited by the treatments, some collagen-modifying enzymes and chaperones were up-regulated, suggesting that there is no causal relation between them.
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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".