Cadaveric Adipose-Derived Stem Cells for Regenerative Medicine and Research.

Fecha de publicación: Fecha Ahead of Print:

Autores de IIS La Fe

Participantes ajenos a IIS La Fe

  • Milian, Lara
  • Oliver-Ferrandiz, Maria
  • Fernandez-Sellers, Carlos
  • Monzo, Ana
  • Mata, Manuel

Grupos

Abstract

Advances in regenerative medicine have enabled the search for new solutions to current health problems in so far unexplored fields. Thus, we focused on cadaveric subcutaneous fat as a promising source of adipose-derived stem cells (ADSCs) that have potential to differentiate into different cell lines. With this aim, we isolated and characterized ADSCs from cadaveric samples with a postmortem interval ranging from 30 to 55 h and evaluated their ability to differentiate into chondrocytes or osteocytes. A commercial ADSC line was used as reference. Morphological and protein expression analyses were used to confirm the final stage of differentiation. Eight out of fourteen samples from patients were suitable to complete the whole protocol. Cadaveric ADSCs exhibited features of stem cells based upon several markers: CD29 (84.49 ± 14.07%), CD105 (94.38 ± 2.09%), and CD44 (99.77 ± 0.32%). The multiparametric assessment of differentiation confirmed the generation of stable lines of chondrocytes and osteocytes. In conclusion, we provide evidence supporting the feasibility of obtaining viable postmortem human subcutaneous fat ADSCs with potential application in tissue engineering and research fields.

Datos de la publicación

ISSN/ISSNe:
1661-6596, 1422-0067

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES  MDPI

Tipo:
Article
Páginas:
-
PubMed:
37958680
Enlace a otro recurso:
www.scopus.com
Factor de Impacto:
1,176 SCImago
Cuartil:
Q1 SCImago

Citas Recibidas en Web of Science: 2

Citas Recibidas en Scopus: 2

Documentos

  • No hay documentos

Métricas

Filiaciones

Filiaciones no disponibles

Keywords

  • adipose-derived stem cells; mesenchymal cell; cartilage regeneration; bone regeneration; tissue engineering; in vitro disease models

Compartir