Deformation of collagen-based tissues investigated using a systematic review and meta-analysis of synchrotron x-ray scattering studies
Bibliographic record
Abstract
Collagen fibrils are the building blocks of many tissues from fish scales and tendons to bone. Synchrotron small-angle X-ray scattering (SAXS) with in situ mechanical testing is a powerful tool to investigate collagen fibril deformation. There is a need to combine data from SAXS studies to investigate structure-function relationships. A literature search used the concepts of mechanical properties, collagen, and SAXS, with 52 articles meeting the eligibility criteria. Here, we report that mineralized tissues transfer a greater proportion of tissue-scale deformation to the fibril: 67% for cortical bone, 49% for tendon, 10% for ligament, and 3% for skin. Across non-mineralized tissues, tissues with less complexity and greater elastin content transfer less deformation to the fibril. The meta-analysis finds 20%–40% lower fibril strain in human aging and disease compared to controls, which contributes toward fracture risk. This synthesis demonstrates how variations in composition and structure tune material properties in collagen-based tissues.
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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 | 0.007 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.008 |
| Bibliometrics | 0.016 | 0.013 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".