The Influence of Aging on the Regenerative Potential of Human Adipose Derived Mesenchymal Stem Cells.
Monika MaredziakKrzysztof MaryczKrzysztof A TomaszewskiKatarzyna KornickaBrandon Michael HenryPublished in: Stem cells international (2016)
Tissue regeneration using human adipose derived mesenchymal stem cells (hASCs) has significant potential as a novel treatment for many degenerative bone and joint diseases. Previous studies have established that age negatively affects the proliferation status and the osteogenic and chondrogenic differentiation potential of mesenchymal stem cells. The aim of this study was to assess the age-related maintenance of physiological function and differentiation potential of hASCs in vitro. hASCs were isolated from patients of four different age groups: (1) >20 years (n = 7), (2) >50 years (n = 7), (3) >60 years (n = 7), and (4) >70 years (n = 7). The hASCs were characterized according to the number of fibroblasts colony forming unit (CFU-F), proliferation rate, population doubling time (PDT), and quantified parameters of adipogenic, chondrogenic, and osteogenic differentiation. Compared to younger cells, aged hASCs had decreased proliferation rates, decreased chondrogenic and osteogenic potential, and increased senescent features. A shift in favor of adipogenic differentiation with increased age was also observed. As many bone and joint diseases increase in prevalence with age, it is important to consider the negative influence of age on hASCs viability, proliferation status, and multilineage differentiation potential when considering the potential therapeutic applications of hASCs.
Keyphrases
- mesenchymal stem cells
- umbilical cord
- bone marrow
- signaling pathway
- cell therapy
- endothelial cells
- stem cells
- end stage renal disease
- human health
- ejection fraction
- bone mineral density
- chronic kidney disease
- cell death
- postmenopausal women
- soft tissue
- body composition
- risk assessment
- peritoneal dialysis
- patient reported outcomes
- bone loss
- extracellular matrix