Mechano-activated Cell Therapy for Accelerated Diabetic Wound Healing.
Yufeng ShouZhicheng LeHong Sheng ChengQimin LiuYi Zhen NgDavid Laurence BeckerXianlei LiLing LiuChencheng XueNatalie Jia Ying YeoRuncheng TanJessalyn LowArun R K KumarKenny Zhuoran WuHua LiChristine CheungChwee-Teck LimNguan Soon TanYongming ChenZhijia LiuAndy TayPublished in: Advanced materials (Deerfield Beach, Fla.) (2023)
Chronic diabetic wounds are a significant global healthcare challenge. Current strategies, such as biomaterials, cell therapies, and medical devices, however, only target a few pathological features and have limited efficacy. We developed a powerful platform technology combining magneto-responsive hydrogel, cells, and wireless magneto-induced dynamic mechanical stimulation (MDMS) to accelerate diabetic wound healing. Our hydrogel encapsulates FDA-approved fibroblasts and keratinocytes to achieve ∼3-fold better wound closure in a diabetic mouse model. MDMS acts as a non-genetic mechano-rheostat to activate fibroblasts, resulting in ∼240% better proliferation, ∼220% more collagen deposition and improved keratinocyte paracrine profiles via the Ras/MEK/ERK pathway to boost angiogenesis. The magneto-responsive property also enables on-demand insulin release for spatiotemporal glucose regulation through increasing network deformation and interstitial flow. By mining scRNAseq data, we identified a mechanosensitive fibroblast subpopulation that can be mechanically tuned for enhanced proliferation and collagen production, maximizing therapeutic impact. Our "all-in-one" system addresses major pathological factors associated with diabetic wounds in a single platform, with potential applications for other challenging wound types. This article is protected by copyright. All rights reserved.
Keyphrases
- wound healing
- healthcare
- signaling pathway
- mouse model
- type diabetes
- single cell
- stem cells
- induced apoptosis
- cell therapy
- pi k akt
- high throughput
- gene expression
- blood pressure
- cell proliferation
- metabolic syndrome
- oxidative stress
- cancer therapy
- genome wide
- blood glucose
- mesenchymal stem cells
- endothelial cells
- high glucose
- social media
- extracellular matrix
- climate change
- machine learning
- vascular endothelial growth factor
- network analysis
- health information
- hyaluronic acid