Your browser doesn't support javascript.
loading
Pancreatic Diseases: Genetics and Modeling Using Human Pluripotent Stem Cells.
Lee, Yuri; Lee, Kihyun.
Afiliación
  • Lee Y; Graduate School of Pharmaceutical Sciences, Ewha Womans University, Seoul, Korea.
  • Lee K; Graduate School of Pharmaceutical Sciences, Ewha Womans University, Seoul, Korea.
Int J Stem Cells ; 17(3): 253-269, 2024 Aug 30.
Article en En | MEDLINE | ID: mdl-38664226
ABSTRACT
Pancreas serves endocrine and exocrine functions in the body; thus, their pathology can cause a broad range of irreparable consequences. Endocrine functions include the production of hormones such as insulin and glucagon, while exocrine functions involve the secretion of digestive enzymes. Disruption of these functions can lead to conditions like diabetes mellitus and exocrine pancreatic insufficiency. Also, the symptoms and causality of pancreatic cancer very greatly depends on their origin pancreatic ductal adenocarcinoma is one of the most fatal cancer; however, most of tumor derived from endocrine part of pancreas are benign. Pancreatitis, an inflammation of the pancreatic tissues, is caused by excessive alcohol consumption, the bile duct obstruction by gallstones, and the premature activation of digestive enzymes in the pancreas. Hereditary pancreatic diseases, such as maturity-onset diabetes of the young and hereditary pancreatitis, can be a candidate for disease modeling using human pluripotent stem cells (hPSCs), due to their strong genetic influence. hPSC-derived pancreatic differentiation has been established for cell replacement therapy for diabetic patients and is robustly used for disease modeling. The disease modeling platform that allows interactions between immune cells and pancreatic cells is necessary to perform in-depth investigation of disease pathogenesis.
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Int J Stem Cells Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Int J Stem Cells Año: 2024 Tipo del documento: Article