Standardized data and relationship between bone growth and bone metabolism in female Göttingen minipigs.
Minipigs have been studied as a model of osteoporosis. However, little information is available regarding their bone physiology. We established standardized bone data and investigated the relationship between bone growth and bone metabolism in female minipigs. Blood and urine samples were obtained from 53 female Göttingen minipigs, 3-76 months of age, for measurement of bone biomarkers (i.e., BAP, OC, NTX, and DPD). The lumbar vertebra and femur were excised to determine the growth plate condition, bone length, bone mineral content (BMC), and bone mineral density (BMD). High levels of bone biomarkers were observed during the initial period after birth, decreasing thereafter with age. Bone biomarkers were confirmed to be highly correlated with age (R(2) > 0.7). The growth plates of the lumbar vertebra and the femur began to close at 21 and 25 months of age, respectively, and closed completely at 42 months of age. Bone length increased rapidly before growth plate closure, and reached a peak at 21 and 28 months of age in the lumbar vertebra and the femur, respectively. The levels of BMC and BMD increased rapidly before growth plate closure, and continued to increase slowly until 76 months of age. A high negative correlation (-0.855 < r < -0.711, p<0.001) was confirmed between the bone biomarkers and the bone measurement data. These results indicate that the bone turnover velocity is consistent with the bone growth velocity in female Göttingen minipigs.
Tsutsumi
Hideki
H
The United Graduate School of Veterinary Sciences, Yamaguchi University, Japan.
Katagiri
Koichi
K
Takeda
Satoshi
S
Nasu
Tetsuo
T
Igarashi
Sinichi
S
Tanigawa
Manabu
M
Mamba
Koichi
K
D000818:Animals; D015415:Biomarkers / Q000032:analysis; D015519:Bone Density; D001846:Bone Development / Q000502:physiology*; D001842:Bone and Bones / Q000378:metabolism*; D005260:Female; D006132:Growth Plate / Q000502:physiology*; D013552:Swine; D013556:Swine, Miniature / Q000378:metabolism / Q000502:physiology*
D015415:Biomarkers