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Hematological and biochemical parameters for Chinese rhesus macaque


Autoři: Wenhai Yu aff001;  Xianhui Hao aff002;  Fengmei Yang aff001;  Jin Ma aff001;  Yuan Zhao aff001;  Yanyan Li aff001;  Junbin Wang aff001;  Hongjie Xu aff001;  Lixiong Chen aff001;  Quan Liu aff001;  Suqin Duan aff001;  Yaping Yang aff001;  Fen Huang aff002;  Zhanlong He aff001
Působiště autorů: Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, PR China aff001;  Medical Faculty, Kunming University of Science and Technology, Kunming, PR China aff002
Vyšlo v časopise: PLoS ONE 14(9)
Kategorie: Research Article
doi: https://doi.org/10.1371/journal.pone.0222338

Souhrn

Rhesus macaque is an important animal model in biomedical research, especially human disease, developmental, translational, and pre-clinical research. Blood physiological and biochemical parameters are important markers for physiology, pathology, and toxicology research. However, these parameters have not been systematically reported for Chinese rhesus macaques. To characterize the reference for these parameters, this study collected 1805 Chinese rhesus macaques living in Southwestern China. A total of 24 blood physiological indexes and 27 biochemical parameters were determined. Sex and age were found to affect these parameters. In conclusion, a comprehensive and systematic reference of hematological and biochemical parameters for Chinese rhesus macaque was established in this work on the basis of a large cohort. Such reference will benefit biomedical research employing rhesus macaques as animal models.

Klíčová slova:

Biology and life sciences – Organisms – Eukaryota – Animals – Vertebrates – Amniotes – Mammals – Primates – Monkeys – Old World monkeys – Macaque – Rhesus monkeys – Anatomy – Body fluids – Blood – Physiology – Antibodies – Biochemistry – Proteins – Immune system proteins – Research and analysis methods – Animal studies – Experimental organism systems – Animal models – Mathematical and statistical techniques – Statistical methods – Analysis of variance – Medicine and health sciences – Hematology – Immune physiology – Immunology – People and places – Population groupings – Age groups – Physical sciences – Mathematics – Statistics


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