Matrix mechanics and regulation of the fibroblast phenotype
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The oral cavity hosts a variety of different fibroblast populations that are generally responsible for maintaining homeostasis of the soft connective tissue. In addition to regulating the turnover and structural arrangement of collagen and other proteins of the extracellular matrix, fibroblasts perform a number of specialized functions. Certain fibroblast subpopulations in the gingiva, oral mucosa and periodontal ligament serve as progenitor cells with multilineage differentiation and self-renewal characteristics. In the periodontal ligament, fibroblasts further appear to function as mechanosensing entities that regulate collagen-secretory and collagen-remodeling activities according to the level of strain in the ligament. Mechanical challenge also plays an important role during the activation of periodontal fibroblasts in response to injury. Dysregulation of this activation process can lead either to poor healing and chronic wounds or to overly healed wounds with fibrosis. This review will elaborate on the roles of mechanical factors and mechanoperception in fibroblast activation, the molecular features of activated fibroblasts and the regulation mechanisms of fibroblast contraction. Pharmacological interference at each level is currently being pursued to improve the outcome of healing of injured periodontal tissue.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 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 it