A cartilage derived novel compound DDP (2,6-dimethyldifuro-8-pyrone): isolation, purification, and identification.
Bibliographic record
Abstract
OBJECTIVE: Fluorescent biomolecules within cartilage matrix can be used as specific markers of cartilage metabolism. While establishing the protocol to evaluate mature collagen crosslinks in articular cartilage (AC) associated with maturation, aging, and osteoarthritis, chromatographic analysis of the crosslinks also revealed an apparently novel fluorescent peak. Preliminary investigation of this compound (now abbreviated DDP) in various tissues from rabbits, calves, chickens, and humans showed that this compound is AC-specific. We aimed to isolate, purify, and identify this fluorescent compound. METHODS: Fully encapsulated, bovine metacarpophalangeal joints (n = 350, age < 2 years) were used as the source for AC. DDP was isolated and purified by reverse phase high pressure liquid chromatography, and its elution was monitored using a fluorescence detector at excitation lambda = 306 nm, and emission lambda = 395 nm. The liquid phase of DDP was characterized by mass spectrometry and nuclear magnetic resonance spectroscopy. DDP solution (5.7 microg/microl) was crystallized in 100% deuterated methanol and the DDP crystal was characterized by single crystal x-ray diffraction. RESULTS: From bulk preparations, 12 pg (58 nmol) per gram dried AC of the novel compound was isolated and purified. Analytical techniques to identify this AC-specific compound, 2,6-dimethyldifuro-8-pyrone, corroborate and confirm its molecular structure and atomic connectivity in both liquid and solid phase. DDP is a symmetrical aromatic compound with molecular weight 204, molecular forrmula C11H8O4, and a molar extinction coefficient 4,700 M(-1) at maximal UV absorption (lambda = 306 nm). CONCLUSION: 2,6-dimethyldifuro-8-pyrone (DDP) is a novel cartilage-specific compound that could have potential application as a unique biochemical marker in joint diseases involving articular cartilage degradation.
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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".