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Dual Traditional Chinese Medicine-Preconditioned Stem Cell Secretomes in Coaxial Electrospun Nanofibers Synergistically Accelerate Diabetic Wound Regeneration

Created on 29 Aug 2026

Authors

Chiu, K.-H., Huang, L.-C., Wang, W.-L., Lai, Y.-H., Yao, C.-h.

Abstract

Chronic diabetic wounds resist healing due to impaired angiogenesis, stalled cellular migration, and persistent inflammation, a challenge further compounded by the rapid degradation of therapeutic growth factors in the proteolytic wound bed. To overcome this, Traditional Chinese Medicine (TCM) compounds are employed not as standalone drugs, but as biomolecular stimuli to precondition the secretome of Wharton's Jelly-derived mesenchymal stem cells (WJMSCs). To overcome these critical translational barriers, this study engineers a core-shell coaxial electrospun nanofibrous scaffold (polyvinyl alcohol core/gelatin shell) designed for the stabilizing and sustained dual-delivery of biologics. We introduce a novel synergistic payload with WJMSCs conditioned medium (WJMSCs-CM) uniquely primed by two specific chinese herbal compounds, Astragaloside IV (AS-IV) and Formononetin (FMN). This core-shell architecture provides native-like contact guidance for cells while converting conventional burst release into a sustained, weeks-long elution. In vitro, this functionalized scaffold restores Akt/eNOS signaling, rescues cellular viability, and promotes robust tube formation in high-glucose-stressed fibroblasts and endothelial cells. In vivo, within an STZ-induced diabetic rat model, the application of this WJMSCs-CM-loaded coaxial scaffold actively inhibits early inflammation and comprehensively accelerates healing, driving near-complete wound closure (98.2 by day 21), mature collagen deposition, and hair follicle neogenesis. Ultimately, this bio-instructive platform successfully integrates physical structural cues with sustained biochemical signaling, offering a potent, multifaceted strategy for chronic wound regeneration.

Preprint server: bioRxiv
The authors list and abstract were imported from bioRxiv on 29 Aug 2026.

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