The Efficacy of Recombinant Human Type III Collagen in the Treatment of Atrophic Scars and Its Impact on p38 MAPK Signaling Pathway Proteins.
Bibliographic record
Abstract
Objective: To investigate the effects of recombinant human type III collagen on atrophic scars and its impact on the p38 mitogen-activated protein kinase (p38MAPK) signaling pathway. Methods: A total of 94 patients with atrophic scars admitted to our hospital from March 2020 to October 2022 were selected as subjects and evenly divided into a control group and an observation group. The control group (n = 47) received carbon dioxide fractional laser treatment, while the observation group (n = 47) was treated with recombinant human type III collagen dressings in addition to the laser treatment. Clinical efficacy, scar conditions, skin physiological parameters, serum levels of p38MAPK pathway-related proteins, and inflammatory markers were compared between the two groups. Results: The overall effective rate in the observation group was 95.74%, significantly higher than 74.47% in the control group (P < .05). Before treatment, there was no significant difference in Vancouver Scar Scale (VSS) scores, stratum corneum hydration, and transepidermal water loss between the two groups (P > .05). After treatment, the VSS score in the observation group was significantly lower than in the control group (P < .05). Similarly, prior to treatment, there were no significant differences in serum levels of mitogen-activated protein kinase 1 (MEK1), mitogen-activated protein kinase 2 (MEK2), extracellular signal-regulated kinase 1 (ERK1), and extracellular signal-regulated kinase 2 (ERK2), interleukin-10 (IL-10) and tumor necrosis factor-alpha (TNF-α) between the two groups (P > .05). After treatment, levels of MEK1, MEK2, ERK1, ERK2, IL-10, and TNF-α in the observation group were significantly lower than those in the control group (P < .05). Conclusion: Recombinant human type III collagen significantly improves the treatment of atrophic scars, effectively ameliorating scar conditions and skin physiology. It also regulates the p38MAPK signaling pathway and reduces inflammation.
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.
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) | 0.001 | 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".