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Mezghani, I.

Publications and source records attributed to Mezghani, I..

2 recordsLinked to original sources

Strain-Programmable Patch for Diabetic Wound Healing

Chronic wounds with impaired healing capability such as diabetic foot ulcers (DFU) are devastating complications in diabetic patients, inflicting rapidly growing clinical and economic burdens in aging societies. Despite recent advances in therapeutic approaches, limited benefits of the existing solutions highlight the critical need for novel therapeutic solutions for diabetic wound healing. Here we propose a strain-programmable patch capable of rapid robust adhesion on and programmable mechanical contraction of wet wounded tissues over days to offer a new therapeutic platform for diabetic wounds. The strain-programmable patch, consisting of a dried bioadhesive layer and a pre-stretched elastomer backing, implements a hydration-based shape-memory mechanism to achieve both uniaxial and biaxial contractions and stress remodeling of wet wounds in a programmable manner. We develop theoretical and numerical models to rationally guide the strain-programming and mechanical modulation of wounds. In vivo rodent and ex vivo human skin culture models validate the programmability and efficacy of the proposed platform and identify mechanisms of action for accelerated diabetic wound healing. One Sentence SummaryA strain-programmable bioadhesive patch is developed for accelerated closure and healing of wounds in diabetic mice and human skin.

bioengineering

Single Cell Transcriptomic Landscape of Diabetic Foot Ulcers

To understand the diabetic wound healing microenvironment, we profiled 174,962 single cells from foot, forearm, and PBMCs using single-cell RNA sequencing (scRNASeq) approach. Our analysis shows enrichment of a unique population of fibroblasts overexpressing MMP1, MMP3, MMP11, HIF1A, CHI3L1, and TNFAIP6 genes and M1 macrophage polarization in the DFU patients with healing wounds. Further, scRNASeq of spatially separated samples from same patient and spatial transcriptomics (ST) revealed preferential localization of these healing associated fibroblasts toward deep wound/ulcer bed as compared to wound edge or non-wounded skin. ST also validated our findings of higher enrichment of M1 macrophages in healers and M2 macrophages in non-healers. Our analysis provides deep insights into the wound healing microenvironment, identifying cell types that could be critical in promoting DFU healing, and may inform novel therapeutic approaches for DFU treatment.

genomics