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Delayed age-associated decrease in growth hormone pulsatile secretion and increased orexigenic peptide expression in

Laurent Kappeler1, Philippe Zizzari, Josette Alliot

  • 1INSERM U549, IFR Broca-Ste-Anne, Université Paris 5, Paris, France.

Neuroendocrinology
|January 29, 2005
PubMed
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The Lou C/Jall rat model shows delayed growth hormone (GH) decline and altered hypothalamic gene expression, suggesting a unique aging profile. This strain maintains caloric intake and avoids obesity, making it a valuable model for studying healthy aging.

Area of Science:

  • Endocrinology
  • Aging Research
  • Neuroscience

Background:

  • The growth hormone/insulin-like growth factor 1 (GH/IGF-1) axis and caloric intake are critical in aging.
  • Understanding age-related changes in these systems is vital for developing interventions.

Purpose of the Study:

  • To compare aging patterns in the GH/IGF-1 axis and food intake regulation between Lou C/Jall and Wistar rats.
  • To evaluate the Lou C/Jall rat as a potential model for healthy aging.

Main Methods:

  • Comparative analysis of GH secretory profiles, IGF-1, ghrelin, and leptin plasma levels.
  • Gene expression analysis (RT-PCR) of hypothalamic and pituitary genes related to GH secretion and appetite regulation.
  • Study included 3-, 12-, and 24-month-old male rats of both strains.

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Main Results:

  • Lou C/Jall rats exhibited delayed decline in pulsatile GH secretion and lower IGF-1 levels compared to Wistar rats.
  • Lou C/Jall rats showed higher hypothalamic expression of orexigenic peptides (agouti-related peptide, neuropeptide Y, orexin) and maintained caloric intake with age.
  • Wistar rats displayed age-related increases in leptin and decreased pituitary GH mRNA, unlike Lou C/Jall rats.

Conclusions:

  • Lou C/Jall rats present a distinct aging phenotype characterized by preserved GH secretion and altered hypothalamic appetite regulation.
  • This strain's resistance to age-related obesity and maintained caloric intake supports its utility as a healthy aging model.