A novel bacterial cellulose membrane immobilized with human umbilical cord mesenchymal stem cells-derived exosome prevents epidural fibrosis

International Journal of Nanomedicine
Bo WangKeya Mao

Abstract

Failed back surgery syndrome is a situation where there is failure after lumbar surgery aimed at correcting lumbar disease that is characterized by continuous back and/or leg pain. Epidural fibrosis and adhesions are among the major causes of failed back surgery syndrome. In recent years, several biomaterials have been applied as barriers or deterrents to prevent the compression of neural structures by postsurgical fibrosis. In this study, a new bacterial cellulose (BC) anti-adhesion membrane, composed of exosomes from human umbilical cord mesenchymal stem cells, was developed. Its structure and morphology, water content, thickness, and mechanical properties of elasticity were analyzed and characterized. The degradation of the BC+exosomes (BC+Exos) membrane in vitro was evaluated, and its in vitro cytotoxicity and in vivo biocompatibility were tested. The prevention effect of BC+Exos membrane on epidural fibrosis post-laminectomy in a rabbit model was investigated. The BC+Exos membrane showed a three-dimensional network structure constituted of high-purity cellulose and moderate mechanical properties. No degeneration was observed. The BC+Exos membrane showed no cytotoxicity and displayed biocompatibility in vivo. The BC+Exos fi...Continue Reading

Citations

Jun 30, 2019·Journal of Cellular Physiology·Hossein AbbaszadehMehdi Yousefi
Oct 12, 2019·Journal of Orthopaedic Surgery and Research·Guirun XiongXiaolei Li
Sep 22, 2020·Advanced Functional Materials·Meadhbh Á BrennanDavid J Mooney
Jan 18, 2021·Acta Biomaterialia·Vishnu Priya Murali, Christina A Holmes
Feb 7, 2021·Stem Cell Research & Therapy·Yamei ZhangChenchen Xie
Apr 20, 2021·Advanced Drug Delivery Reviews·Anika NagelkerkeMolly M Stevens

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Methods Mentioned

BETA
light microscopy
flow cytometry
infrared spectrometry
blood collection
PCR

Software Mentioned

SPSS
HUCMSC

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