HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

Effects of growth hormone and insulin-like growth factor 1 deficiency on ageing and longevity.

Abstract
Present knowledge on the effects of growth hormone (GH)/insulin-like growth hormone (IGF)1 deficiency on ageing and lifespan are reviewed. Evidence is presented that isolated GH deficiency (IGHD), multiple pituitary hormone deficiencies (MPHD) including GH, as well as primary IGE1 deficiency (GH resistance, Laron syndrome) present signs of early ageing such as thin and wrinkled skin, obesity, hyperglycemia and osteoporosis. These changes do not seem to affect the lifespan, as patients reach old age. Animal models of genetic MPHD (Ames and Snell mice) and GH receptor knockout mice (primary IGF1 deficiency) also have a statistically significant higher longevity compared to normal controls. On the contrary, mice transgenic for GH and acromegalic patients secreting large amounts of GH have premature death. In conclusion longstanding GH/IGF1 deficiency affects several parameters of the ageing process without impairing lifespan, and as shown in animal models prolongs longevity. In contrast high GH/IGF1 levels accelerate death.
AuthorsZvi Laron
JournalNovartis Foundation symposium (Novartis Found Symp) Vol. 242 Pg. 125-37; discussion 137-42 ( 2002) ISSN: 1528-2511 [Print] England
PMID11855684 (Publication Type: Journal Article, Review)
Chemical References
  • Pituitary Hormones
  • Insulin-Like Growth Factor I
  • Growth Hormone
Topics
  • Aging (metabolism, physiology)
  • Animals
  • Growth Hormone (deficiency)
  • Humans
  • Insulin-Like Growth Factor I (deficiency)
  • Longevity (physiology)
  • Mice
  • Pituitary Hormones (deficiency)
  • Syndrome

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: