Extracellular vimentin amplifies inflammation: Perspectives for immune injury and therapeutics for periodontitis
Bibliographic record
Abstract
Periodontitis is an inflammatory disease triggered by microbial biofilms that promote immune dysfunction and tissue destruction of tooth-supporting tissues. The search for soluble mediators that amplify inflammatory responses and matrix degradation in periodontal tissues has implicated extracellular vimentin (ECV) as a signaling ligand and damage-associated molecular pattern in the pathogenesis of periodontitis. Intracellular vimentin filaments are essential for the structural integrity of cells and the preservation of matrix homeostasis. These are important determinants of health in the periodontium and many other organs. But in inflamed tissues, intracellular vimentin filaments are disassembled. Vimentin is subsequently released from cells into the extracellular space in a soluble form where it drives immune signaling and tissue destruction. We discuss the role of ECV as a signaling molecule in several tissues. We apply these data to understand how in inflammatory diseases like periodontitis, ECV amplifies immune responses that contribute to disease progression. Arising from these data, we consider novel therapeutic opportunities for limiting tissue destruction by targeting ECV for treatment of inflammatory disorders like periodontitis.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".