STRUCTURAL CHARACTERISTICS AND FUNCTIONAL INSIGHTS INTO TSP-4: IMPLICATIONS FOR CARDIOVASCULAR HEALTH
Bibliographic record
Abstract
Thrombospondin-4 (TSP-4) is a multidomain protein with unique functions within the thrombospondin family. It plays a works in tissue repair, cell-to-matrix conveying, and various physiological processes. TSP-4 differs structurally from other family members and is associated with a common single nucleotide polymorphism (SNP), A387P, linked to cardiovascular disorders. Its functions include tissue remodeling, regeneration, proliferation, adhesion, migration, angiogenesis, inflammation, and adipogenesis. The A387PSNPin TSP-4 increases the risk of these cardiovascular conditions and affects angiogenesis, inflammation, and adipogenesis. TSP-4 has clinical applications as a marker for various tissues and pathological disorders. Its expression levels differentiate cell origins, making it a biomarker for articular cartilage, tendon progenitor cells, and more. In heart-related conditions, TSP-4 serves as a marker for cardiac overload and coronary artery disease. Additionally, TSP-4 expression is associated with osteoarthritis severity, suggesting its potential as a biomarker for this condition. Overall, understanding TSP-4's diverse functions and its role in cardiovascular pathology provides insights into its clinical relevance and diagnostic potential, making it a promising target for further research and therapeutic interventions.
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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 | 0.000 |
| 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) | 0.002 | 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".