Journal article

mTOR signalling: the molecular interface connecting metabolic stress, aging and cardiovascular diseases

  • Yang, Zhihong Laboratory of Vascular Biology, Division of Physiology, Department of Medicine, Faculty of Science, University of Fribourg, Switzerland
  • Ming, Xiu-Fen Laboratory of Vascular Biology, Division of Physiology, Department of Medicine, Faculty of Science, University of Fribourg, Switzerland
    29.10.2012
Published in:
  • Obesity Reviews. - 2012, vol. 13, no. S2, p. 58–68
English The continuing increase in the prevalence of obesity and metabolic disorders such as type-II diabetes and an accelerating aging population globally will remain the major contributors to cardiovascular mortality and morbidity in the 21st century. It is well known that aging is highly associated with metabolic and cardiovascular diseases. Growing evidence also shows that obesity and metabolic diseases accelerate aging process. Studies in experimental animal models demonstrate similarity of metabolic and cardiovascular phenotypes in metabolic diseases and old age, e.g. insulin resistance, oxidative stress, chronic low grade inflammation, cardiac hypertrophy, cardiac fibrosis, and heart failure, as well as vascular dysfunctions. Despite intensive research, the molecular mechanisms linking metabolic stress, aging, and ultimately cardiovascular diseases are still elusive. Although the mammalian target of rapamycin (mTOR) signalling is a well known regulator of metabolism and lifespan in model organisms, its central role in linking metabolic stress, aging and cardiovascular diseases is recently emerging. In this article, we review the evidence supporting the role of mTOR signalling as a molecular interface connecting metabolic stress, aging and cardiovascular diseases. The therapeutic potentials of targeting mTOR signalling to protect against metabolic and age-associated cardiovascular diseases are discussed.
Faculty
Faculté des sciences et de médecine
Department
Département de Médecine
Language
  • English
Classification
Biological sciences
License
License undefined
Identifiers
Persistent URL
https://folia.unifr.ch/unifr/documents/302719
Statistics

Document views: 62 File downloads:
  • yan_msm.pdf: 77