Targeting the extracellular matrix: Matricellular proteins regulate cell–extracellular matrix communication within distinct niches of the intervertebral disc
Bibliographic record
Abstract
The so-called "matricellular" proteins have recently emerged as important regulators of cell-extracellular matrix (ECM) interactions. These proteins modulate a variety of cell functions through a range of interactions with cell-surface receptors, hormones, proteases and structural components of the ECM. As such, matricellular proteins are crucial regulators of cell phenotype, and consequently tissue function. The distinct cell types and microenvironments that together form the IVD provide an excellent paradigm to study how matricellular proteins mediate communication within and between adjacent tissue types. In recent years, the role of several matricellular proteins in the intervertebral disc has been explored in vivo using mutant mouse models in which the expression of target matricellular proteins was deleted from either one or all compartments of the intervertebral disc. The current review outlines what is presently known about the roles of the matricellular proteins belonging to the CCN family, SPARC (Secreted Protein, Acidic, and Rich in Cysteine), and thrombospondin (TSP) 2 in regulating intervertebral disc cell-ECM interactions, ECM synthesis and disc tissue homeostasis using genetically modified mouse models. Furthermore, we provide a brief overview of recent preliminary studies of other matricellular proteins including, periostin (POSTN) and tenascin (TN). Each specific tissue type of the IVD contains a different matricellular protein signature, which varies based on the specific stage of development, maturity or disease. A growing body of direct genetic evidence links IVD development, maintenance and repair to the coordinate interaction of matricellular proteins within their respective niches and suggests that several of these signaling modulators hold promise in the development of diagnostics and/or therapeutics targeting intervertebral disc aging and/or degeneration.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".