Peroxynitrite inactivates human‐tissue inhibitor of metalloproteinase‐4
Bibliographic record
Abstract
Peroxynitrite, via post-translational modifications to target proteins, contributes to cardiovascular injury and cancer. Since tissue inhibitor of metalloproteinase-4 (TIMP-4), the activity of which is impaired in both pathological conditions, has several amino acid residues susceptible to peroxynitrite, we investigated its role as a potential target of peroxynitrite. Peroxynitrite-induced nitration and oligomerization of TIMP-4 attenuated its inhibitory activity against MMP-2 activity and endothelial or tumor cell invasiveness. Moreover, cell treatment with peroxynitrite promoted the nitration of endogenous TIMP-4. HPLC/ESI-MS/MS analysis of peroxynitrite-treated TIMP-4 showed modifications at Y114, Y195, Y188 and Y190. In conclusion, TIMP-4 nitration might be a potential mechanism contributing to cardiovascular disease and cancer.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".