Covalent Binding of 4-Hydroxynonenal to Matrix Metalloproteinase 13 Studied by Liquid Chromatography–Mass Spectrometry
Bibliographic record
Abstract
Osteoarthritis (OA) is caused by the degradation of articular cartilage and affects approximately 80% of people over the age of 65. Matrix metalloproteinases (MMPs) belong to a group of zinc endopeptidases that degrade extracellular matrix (ECM) proteins in cartilage. MMP-13, also known as collagenase 3, cleaves type II collagen more rapidly than other MMPs and therefore is an important target for the treatment of OA. The lipid peroxidation product 4-hydroxy-2-(E)-nonenal (HNE), generated under oxidative stress, is known to play a crucial role in cartilage degradation; however, the mechanism is not yet fully understood. An approach has been developed to monitor HNE modification sites by incubating rhMMP-13 ± HNE in vitro followed by analysis of tryptic digests by UHPLC coupled to high resolution (HR) quadrupole-time-of-flight (QqTOF) tandem mass spectrometry (MS/MS). The analysis elucidated several covalently modified histidine and cysteine residues. The reaction was monitored using different HNE concentrations and incubation times. A targeted assay, using multiple-reaction monitoring (MRM), was then optimized to increase the sensitivity of detecting these modification sites in biological samples. HNE-related covalent modifications of MMP-13 were confirmed in enriched extracts from interleukin 1β-activated chondrocytes from OA patients using HR-MS/MS and MRM analysis.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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".