Hydrogel and Microgel Collaboration for Spatiotemporal Delivery of Biofactors to Awaken Nucleus Pulposus-Derived Stem Cells for Endogenous Repair of Disc.
Junwu WangYilong HuangTian LuanPengzhi ShiLanhong GuoQi ZhangGuang ShiZhuowen HaoTianhong ChenLiang ZhangJingfeng LiPublished in: Small (Weinheim an der Bergstrasse, Germany) (2024)
Depletion of nucleus pulposus-derived stem cells (NPSCs) is a major contributing factor to the attenuation of endogenous regenerative capacity in intervertebral disc degeneration (IVDD). Introducing a hydrogel drug delivery system is a potential strategy for counteracting endogenous cell depletion. The present study proposes a delivery platform for the spatiotemporal release of multiple drugs by combining sodium alginate hydrogels with gelatin microgels (SCGP hydrogels). The SCGP hydrogels facilitated the initial release of chondroitin sulfate (ChS) and the gradual release of an independently developed parathyroid hormone-related peptide (P2). The combined action of these two small molecule drugs "awakened" the reserve NPSCs, mitigated cell damage induced by H 2 O 2 , significantly enhanced their biological activity, and promoted their differentiation toward nucleus pulposus cells. The mechanical and viscoelastic properties of the hydrogel are enhanced by physical and chemical dual cross-linking to adapt to the loading environment of the degenerated disc. A rat IVDD model is used to validate that the SCGP hydrogel can significantly inhibit the progression of IVDD and stimulate the endogenous repair of IVDD. Therefore, the spatiotemporal differential drug delivery system of the SCGP hydrogel holds promise as a convenient and efficacious therapeutic strategy for minimally invasive IVDD treatment.
Keyphrases
- hyaluronic acid
- tissue engineering
- stem cells
- drug delivery
- wound healing
- cell therapy
- small molecule
- minimally invasive
- single cell
- drug release
- mental health
- mesenchymal stem cells
- induced apoptosis
- machine learning
- physical activity
- big data
- cell cycle arrest
- deep learning
- high throughput
- high resolution
- combination therapy
- climate change
- atomic force microscopy
- endoplasmic reticulum stress