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1.
China Journal of Orthopaedics and Traumatology ; (12): 954-959, 2020.
Article in Chinese | WPRIM | ID: wpr-879331

ABSTRACT

OBJECTIVE@#To understand changes of coagulation state, microthrombus, microvascular bed and bone density in the osteoporosis model of iron accumulation, and explore the influence of iron accumulation in aspects of osteoporosis on coagulation function and blood vessels.@*METHODS@#Tewnty-four male SPF SD rats aged 6 months were selected, which with the average body weight (250±20) g, which were divided into control group and iron accumulation group according to random number table, 12 rats in each group. Iron accumulation group was intervened by intraperitoneal injection of ferric ammonium citrate 90 mg / kg, and control group was intraperitoneally injected with equal volume of normal saline, twice a week for 9 weeks. After intervention, serum ferritin, coagulation function, microthrombus, vascular density, and three-dimensional morphological reconstruction and spatial structure parameters of the distal femur trabeculae were measured and statistically analyzed.@*RESULTS@#Serum ferritin of iron accumulation group (136.36±35.41) μg / L was higher than control group (68.44±16.86) μg / L(@*CONCLUSION@#In the osteoporosis model with the influence of iron accumulation, iron accumulation had a significant influence on the coagulation function, and the blood was relatively hypercoagulable. The bone vascular bed uas reduced, and there were microthrombus in the bone marrow. Hypercoagulable state of blood and formation of microthrombi may be important factors influencing the occurrence of iron accumulation osteoporosis.


Subject(s)
Animals , Male , Rats , Bone Density , Bone and Bones , Iron , Osteoporosis , Rats, Sprague-Dawley
2.
Chinese Journal of Biotechnology ; (12): 81-86, 2003.
Article in Chinese | WPRIM | ID: wpr-259190

ABSTRACT

The model equations of the production phase of rHSA fermentation were derived on the base of both elemental balance and metabolic balance, then the unknown parameters of the model were estimated by multivariable optimization. The possible reasons of discrepancy of production rate between different period of fermentation were discussed. The model could preferably described the relations between different macroscopic reaction rates of the process and keys for the high-efficiency expression of HAS were deduced.


Subject(s)
Humans , Fermentation , Physiology , Models, Biological , Pichia , Genetics , Metabolism , Recombinant Proteins , Genetics , Serum Albumin , Genetics
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