Implantation of human adipose-derived stromal cells for the functional recovery of a murine heat-damaged muscle model.
Norikatsu MiyoshiShiki FujinoYusuke TakahashiMasayoshi YasuiMasayuki OhueTsunekazu MizushimaPublished in: Surgery today (2020)
In cases of lower rectum-located tumor or severe disease, surgical resection is currently the effective management; however, it also carries increased risks of function loss. The interdisciplinary field of regenerative medicine offers strategies that can potentially restore severely diseased and injured tissues and organs. Adipose-derived stromal cells (ASCs) are an abundant and accessible source of adult stem cells and hold great promise as therapeutic agents for tissue regeneration. In this work, we transplanted cells isolated from human stromal tissues, including a 6%-7% ASC population, into heat-damaged femoral muscles of non-obese diabetic immunodeficient mice. The movement of the limbs was observed to determine the functional recovery 3 months after transplantation. Among the mice that did not receive cell transplantation, 20% were able to walk with the injured limb touching the ground, while all of the mice in the ASC-treatment group were able to walk. Furthermore, all ASC-treated mice were able to stand on both back paws, in contrast to the control group mice. The human stromal cell population containing ASCs was able to differentiate and engraft the injured muscle tissues successfully. Our results indicate that stromal material/ASC-based therapies are a promising strategy for the regeneration of tissues and function restoration after severe injury due to surgery.
Keyphrases
- stem cells
- high fat diet induced
- endothelial cells
- gene expression
- cell therapy
- bone marrow
- type diabetes
- single cell
- skeletal muscle
- metabolic syndrome
- nlrp inflammasome
- pluripotent stem cells
- induced pluripotent stem cells
- magnetic resonance imaging
- magnetic resonance
- insulin resistance
- weight loss
- machine learning
- heat stress
- bariatric surgery
- risk assessment
- artificial intelligence
- obese patients
- contrast enhanced