title: [Study on establishment of kidney deficient aging model and comparison with D-galactose induced aging model].
abstract: OBJECTIVE
  To establish a kidney deficient aging model (KDAM), assess it in antioxidant capacity, HPAT axis function and bone metabolism, and compare with D-galactose aging model.
  
  
  METHODS
  Aging rat model was established by injecting D-galactose solution, meanwhile dexamethasone solution was injected to establish kidney deficient aging model. Then these models were evaluated by serum MDA (malondialdehyde) and GSH-Px (glutathione peroxidase), liver SOD (superoxide dismutase), adrenal, thymus and spleen index, CD4(+), CD8(+), and serum COR (cortisol), BGP (bone Gla-protein), plasma ACTH (adrenocorticotropic hormone) and CRH (corticotropin-releasing hormone).
  
  
  RESULTS
  Compared with the normal group, the aging model group and the kidney deficient aging group showed significant decrease in liver SOD activity (P < 0.01 on average) and significant increase in serum MDA content (P < 0.01 on average) , and the kidney deficient aging group revealed remarkable decline in plasma ACTH content (P < 0.05). Compared with the normal group and the aging model group, the kidney deficient aging model group's weight, serum GSH-Px decreased (P < 0.01, P < 0.05), adrenal index decreased (P < 0.05, P < 0.01), serum COR decreased (P < 0.05 on average), plasma CRH increased (P < 0.05, P < 0.01), serum BGP content significantly decreased (P < 0.01 on average), value of CD4(+), CD8(+) decreased (P < 0.05, P < 0.01), CD4(+)/CD8(+) increased, but without significant difference.
  
  
  CONCLUSIONS
  The kidney deficient aging model shows significant decrease in antioxidant capacity, dysfunction of HPAT axis disorder and abnormal bone metabolism. However, D-galactose aging model only shows a significant difference in antioxidant capacity.
authors.affiliation: Department of Materia Medica, School of Traditional Chinese Medicine, Capital Medicine University, Beijing 100069, China.
authors.forename: Zhan
authors.initials: Z
authors.lastname: Li
authors.forename: Renhui
authors.initials: R
authors.lastname: Liu
authors.forename: Xue
authors.initials: X
authors.lastname: Kang
authors.forename: Xiujuan
authors.initials: X
authors.lastname: Wang
mesh_terms: D000375:Aging / Q000187:drug effects* / Q000502:physiology; D000818:Animals; D000975:Antioxidants / Q000378:metabolism; D004195:Disease Models, Animal; D005690:Galactose / Q000009:adverse effects*; D006801:Humans; D007668:Kidney / Q000503:physiopathology*; D007674:Kidney Diseases / Q000139:chemically induced* / Q000378:metabolism / Q000503:physiopathology; D008099:Liver / Q000201:enzymology; D008297:Male; D008315:Malondialdehyde / Q000378:metabolism; D018384:Oxidative Stress; D051381:Rats; D017207:Rats, Sprague-Dawley; D013482:Superoxide Dismutase / Q000378:metabolism
chemical_list: D000975:Antioxidants; D008315:Malondialdehyde; D013482:Superoxide Dismutase; D005690:Galactose