Your browser doesn't support javascript.
loading
Attractor landscape analysis of the cardiac signaling network reveals mechanism-based therapeutic strategies for heart failure.
Park, Daebeom; Lee, Ho-Sung; Kang, Jun Hyuk; Kim, Seon-Myeong; Gong, Jeong-Ryeol; Cho, Kwang-Hyun.
Afiliación
  • Park D; Laboratory for Systems Biology and Bio-inspired Engineering, Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
  • Lee HS; Laboratory for Systems Biology and Bio-inspired Engineering, Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
  • Kang JH; Graduate School of Medical Science and Engineering, KAIST, Daejeon, Republic of Korea.
  • Kim SM; Laboratory for Systems Biology and Bio-inspired Engineering, Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
  • Gong JR; Graduate School of Medical Science and Engineering, KAIST, Daejeon, Republic of Korea.
  • Cho KH; Laboratory for Systems Biology and Bio-inspired Engineering, Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
J Mol Cell Biol ; 10(3): 180-194, 2018 06 01.
Article en En | MEDLINE | ID: mdl-29579284
Apoptosis and hypertrophy of cardiomyocytes are the primary causes of heart failure (HF), a global leading cause of death, and are regulated through the complicated intracellular signaling network, limiting the development of effective treatments due to its complexity. To identify effective therapeutic strategies for HF at a system level, we develop a large-scale comprehensive mathematical model of the cardiac signaling network by integrating all available experimental evidence. Attractor landscape analysis of the network model identifies distinct sets of control nodes that effectively suppress apoptosis and hypertrophy of cardiomyocytes under ischemic or pressure overload-induced HF, the two major types of HF. Intriguingly, our system-level analysis suggests that intervention of these control nodes may increase the efficacy of clinical drugs for HF and, of most importance, different combinations of control nodes are suggested as potentially effective candidate drug targets depending on the types of HF. Our study provides a systematic way of developing mechanism-based therapeutic strategies for HF.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Transducción de Señal / Apoptosis / Miocitos Cardíacos / Mapas de Interacción de Proteínas / Insuficiencia Cardíaca Límite: Animals / Humans Idioma: En Revista: J Mol Cell Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2018 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Transducción de Señal / Apoptosis / Miocitos Cardíacos / Mapas de Interacción de Proteínas / Insuficiencia Cardíaca Límite: Animals / Humans Idioma: En Revista: J Mol Cell Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2018 Tipo del documento: Article