Validation of Fourier transform infrared microspectroscopy for the evaluation of enzymatic cross-linking of bone collagen
Bibliographic record
Abstract
ABSTRACT Enzymatic cross-linking of the bone collagen is important to resist to crack growth and to increased flexural strength. In the present study, we proposed a new method for assessment of enzymatic cross-link based on FTIR microspectroscopy that takes into account secondary structure of type I collagen. Briefly, femurs were collected from sham or ovariectomized mice and subjected either to LC-MS or embedded in polymethylmethacrylate, cut and analyzed by FTIR microspectroscopy. FTIR acquisition were recorded before and after UV exposure or acid treatment. In addition, femurs from a second animal study were used to compare gene expression of Plod2 and Lox enzymes and enzymatic cross-links determined by FTIR microspectroscopy. We evidenced here that intensities and areas of subbands located at ∼1660 cm -1 , ∼1680 cm -1 and ∼1690 cm -1 were positively and significantly associated with the concentration of pyridinoline (PYD), deoxypyridinoline (DPD) or immature dihydroxylysinonorleucine (DHLNL) / hydroxylysinonorleucine (HLNL) cross-links. Seventy-two hours exposure to UV light significantly reduced by ∼86% and ∼89% the intensity and area of the ∼1660 cm -1 subband. Similarly, 24 hours of acid treatment significantly reduced by 78% and 76% the intensity and area of the ∼1690 cm -1 subband. Plod2 and Lox expression were also positively associated to the signal of the ∼1660 cm -1 and ∼1690 cm -1 subbands. In conclusion, our study provided a new method for decomposing the amide I envelope of bone section that positively correlates with PYD and immature collagen cross-links. This method allows for investigation of tissue distribution of enzymatic cross-links in bone section.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".