Toll‐like receptors expressed by dermal fibroblasts contribute to hypertrophic scarring
Bibliographic record
Abstract
Hypertrophic scar (HTS), a fibroproliferative disorder (FPD), complicates burn wound healing. Although the pathogenesis is not understood, prolonged inflammation is a known contributing factor. Emerging evidence suggests that fibroblasts regulate immune/inflammatory responses through toll-like receptor 4 (TLR4) activated by lipopolysaccharide (LPS) through adaptor molecules, leading to nuclear factor kappa-light-chain-enhancer of activated B cells and mitogen-activated protein kinases activation, cytokine gene transcription and co-stimulatory molecule expression resulting in inflammation. This study explored the possible role of TLR4 in HTS formation. Paired normal and HTS tissue from burn patients was collected and dermal fibroblasts isolated and cultured. Immunohistochemical analysis of tissues demonstrated increased TLR4 staining in HTS tissue. Quantitative RT-PCR of three pairs of fibroblasts demonstrated mRNA levels for TLR4 and its legend myeloid differentiation factor 88 (MyD88) in HTS fibroblasts were increased significantly compared with normal fibroblasts. Flow cytometry showed increased TLR4 expression in HTS fibroblasts compared with normal. ELISA demonstrated protein levels for prostaglandin E2, interleukin (IL)-6, IL-8 and monocyte chemotactic protein-1 (MCP-1) were significantly increased in HTS fibroblasts compared to normal. When paired normal and HTS fibroblasts were stimulated with LPS, significant increases in mRNA and protein levels for MyD88, IL-6, IL-8, and MCP-1 were detected. However, when transfected with MyD88 small interfering RNA (siRNA), then stimulated with LPS, a significant decrease in mRNA and protein levels for these molecules compared to only LPS-stimulated fibroblasts was detected. In comparison, a scramble siRNA transfection did not affect mRNA or protein levels for these molecules. Results demonstrate LPS stimulates proinflammatory cytokine expression in dermal fibroblasts and MyD88 siRNA eliminates the expression. Therefore, controlling inflammation and manipulating TLR signaling in skin cells may result in novel treatment strategies for HTS and other FPD.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".