ISSLS Prize Winner: Collagen Fibril Sliding Governs Cell Mechanics in the Anulus Fibrosus
Bibliographic record
Abstract
STUDY DESIGN: In situ investigation of collagen and cell mechanics in bovine caudal discs using novel techniques of confocal microscopy. OBJECTIVE: To measure simultaneously the in situ intercellular and collagen matrix mechanics in the inner and outer anulus fibrosus of the intervertebral disc subjected to flexion. SUMMARY OF BACKGROUND DATA: Mechanobiology studies, both in vivo and in vitro, clearly demonstrate that mechanical factors can influence the metabolic activity of disc cells, altering the expression of key extracellular matrix molecules. Essential to elucidating the mechanotransduction mechanisms is a detailed understanding of the in situ mechanical environment of disc cells in response to whole-body mechanical loads. METHODS: Confocal microscopy was used to simultaneously track and capture in situ images of fluorescently labeled cells and matrix during an applied flexion. The position of the nuclear centroids was calculated before and after applied flexion to quantify the in situ intercellular mechanics of both lamellar and interlamellar cells. The deflection patterns of lines photobleached into the extracellular matrix were used to quantify collagen fibril sliding and collagen fibril strains in situ. RESULTS: The extracellular matrix was observed to deflect nonuniformly due to the relative sliding of the collagen fibrils. Intercellular displacements within the lamellar layers were also nonuniform, both along a cell row and between adjacent rows. Within a cell row, the intercellular displacements were small (<1%). CONCLUSIONS: The in situ cell mechanics of anular cells was found to be strongly influenced by collagen fibril sliding in the extracellular matrix and could not be inferred directly from applied tissue loads.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.043 | 0.015 |
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".