ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025
Robust Controlled Degradation of Enzyme Loaded PCL-Based Fibrous Scaffolds Toward Scarless Skin Tissue Regeneration.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Advancements in Functional Polymeric Scaffolds for Scar-Free Skin Regeneration.Polymer science & technology (Washington, D.C.) · 2026Review
- Adaptive Hyaluronic Acid Hydrogels for Regenerative Wound Healing: From Microenvironment Sensing to ECM Reprogramming and Precise Tissue Regeneration.Macromolecular rapid communications · 2026Review
- The Next Frontier in Biodegradable Plastics: Enzyme-Embedding Biodegradable Polymers.Biomacromolecules · 2026Review
- Integrative bioengineering strategies for endometrial regeneration: From biomaterials and stem cells to organoids and organ-on-a-chip technologies.Theranostics · 2026Review
- Multimodal Bioactive Approaches in Smart Dressings for Diabetic Foot Ulcers.International journal of nanomedicine · 2026Review
- Synthesis, Characterization, and Enzyme Conjugation of Polycaprolactone Nanofibers for Tissue Engineering.Pharmaceutics · 2025Article
- Robust Controlled Degradation of Enzyme Loaded PCL-Based Fibrous Scaffolds Toward Scarless Skin Tissue Regeneration.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Uncontrolled degradation of wound dressings may result in residues, causing several negative effects on wound healing, such as secondary damage, undesirable inflammation, and scar skin formation. Here, an available strategy associated with the synthesis of enzyme-loaded (Burkholderia cepacia lipase, BCL) polycaprolactone (PCL) nanofiber scaffolds, aligning with wound healing effects is reported. These scaffolds are fabricated via fiber microfluidic electrospinning degradation-control technique. The obtained scaffolds exhibit tunable degradation rates, achieving complete degradation within 12-72-h cycles. The acidic degradation products are further elucidated and reveal the potential degradation mechanism. The acidic degradation products create an optimal microenvironment during the hemostasis and inflammation stages of wound healing. Notably, in vivo experiments demonstrate the enzyme-loaded scaffolds effectively promote angiogenesis, reduce inflammatory responses, mitigate collagen deposition, and regulate fibroblast differentiation. This promotes rapid wound healing with a remarkable scarless rate of over 99% by day 21. New guidelines for scar-free healing dressings are proposed, which carry out faster degradation without microplastics (MPs) and toxic byproducts before scar formation. These principles might provide valuable insights and promise for developing more effective wound dressings.
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What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.