TIMP‐1 is increased by shear stress in the skeletal muscle microvasculature
Bibliographic record
Abstract
Luminal splitting via internal division of capillaries is a form of angiogenesis caused by increased shear stress. A feature of luminal splitting is a lack of extracellular matrix proteolysis, which correlates with a decreased production of matrix metalloproteinase‐2 (MMP‐2). We hypothesized that the MMP inhibitor, tissue inhibitor of matrix metalloproteinase‐1 (TIMP‐1), is upregulated in response to shear stress. TIMP‐1 mRNA expression increased 3.8‐fold in the EDL of prasozin‐treated rats (p<0.05, n=4). Skeletal muscle endothelial cells were exposed to 2, 4, or 24 hours of shear stress (12 dyne/cm 2 ). TIMP‐1 mRNA expression increased 7.0 and 9.0‐fold in cells after 2 and 24 hours of exposure to shear stress respectively (p<0.05, n=3), and TIMP‐1 protein increased 1.5 and 2.2‐fold after 2 and 24 hours of shear stress (p<0.05, n=3). TIMP‐1‐mediated inhibition of MMP‐2 also was increased 1.5 and 1.3‐fold after 2 and 24 hours of shear stress (n=2 and p<0.05, n=3 respectively). Our results show that TIMP‐1 is upregulated by shear stress, and suggest a mechanism for the absence of extracellular matrix proteolysis observed during luminal splitting. Funded by the Heart and Stroke Foundation of Canada.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".