Literature DB >> 19775234

Clinical veterinarian's perspective of non-human primate (NHP) use in drug safety studies.

Katrina Taylor1.   

Abstract

Owing to their size, cost, and availability, the cynomolgus macaque (Macaca fascicularis) has surpassed the rhesus macaque in its use as a non-human primate preclinical model for drug safety studies. There are three major regions where cynomolgus macaques are bred: China, Southeast Asia, and the island of Mauritius. Country of origin of the macaque is important, as disease status and background disease incidence in non-human primates from each of these sites can differ. Once a source of macaque has been decided, careful monitoring of the animal during breeding and by the importing vendor while the animals are in quarantine is important. During vendor quarantine, the animals should be monitored and evaluated for disease, response to tuberculosis testing, retroviral status, and both ecto- and endoparasites. After animals arrive at the test facility, additional quarantine and acclimation are important to ascertain health status further and to reduce stress on the animals, thereby providing a better research model. The type of caging, food, water, and enrichment should be carefully selected to best suit the needs of the study while working within Federal Regulations (i.e., Animal Welfare Act and Good Laboratory Practices). Careful prescreening by performing tests (such as physical, neurologic, and ophthalmologic examinations), complete blood count, biochemical profile, urinanalysis, electrocardiograms, and pulse oximetry is important when selecting the most appropriate animals for the study. After the in-life portion of the study begins, animals that present with clinical signs should be examined and an appropriate treatment course begun while maintaining study objectives. As many commonly used medications have immunomodulatory effects, having an understanding of the mechanism of action of test articles will aid in the appropriate choice of treatment of study animals. A tiered approach to the treatment of these animals is a conservative and usually acceptable approach.

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Year:  2010        PMID: 19775234     DOI: 10.1080/15476910903213539

Source DB:  PubMed          Journal:  J Immunotoxicol        ISSN: 1547-691X            Impact factor:   3.000


  3 in total

1.  Cell transcriptomic atlas of the non-human primate Macaca fascicularis.

Authors:  Lei Han; Xiaoyu Wei; Chuanyu Liu; Giacomo Volpe; Zhenkun Zhuang; Xuanxuan Zou; Zhifeng Wang; Taotao Pan; Yue Yuan; Xiao Zhang; Peng Fan; Pengcheng Guo; Yiwei Lai; Ying Lei; Xingyuan Liu; Feng Yu; Shuncheng Shangguan; Guangyao Lai; Qiuting Deng; Ya Liu; Liang Wu; Quan Shi; Hao Yu; Yunting Huang; Mengnan Cheng; Jiangshan Xu; Yang Liu; Mingyue Wang; Chunqing Wang; Yuanhang Zhang; Duo Xie; Yunzhi Yang; Yeya Yu; Huiwen Zheng; Yanrong Wei; Fubaoqian Huang; Junjie Lei; Waidong Huang; Zhiyong Zhu; Haorong Lu; Bo Wang; Xiaofeng Wei; Fengzhen Chen; Tao Yang; Wensi Du; Jing Chen; Shibo Xu; Juan An; Carl Ward; Zongren Wang; Zhong Pei; Chi-Wai Wong; Xiaolei Liu; Huafeng Zhang; Mingyuan Liu; Baoming Qin; Axel Schambach; Joan Isern; Liqiang Feng; Yan Liu; Xiangyu Guo; Zhen Liu; Qiang Sun; Patrick H Maxwell; Nick Barker; Pura Muñoz-Cánoves; Ying Gu; Jan Mulder; Mathias Uhlen; Tao Tan; Shiping Liu; Huanming Yang; Jian Wang; Yong Hou; Xun Xu; Miguel A Esteban; Longqi Liu
Journal:  Nature       Date:  2022-04-13       Impact factor: 49.962

2.  Large-scale transcriptome sequencing and gene analyses in the crab-eating macaque (Macaca fascicularis) for biomedical research.

Authors:  Jae-Won Huh; Young-Hyun Kim; Sang-Je Park; Dae-Soo Kim; Sang-Rae Lee; Kyoung-Min Kim; Kang-Jin Jeong; Ji-Su Kim; Bong-Seok Song; Bo-Woong Sim; Sun-Uk Kim; Sang-Hyun Kim; Kyu-Tae Chang
Journal:  BMC Genomics       Date:  2012-05-04       Impact factor: 3.969

3.  Selection of new appropriate reference genes for RT-qPCR analysis via transcriptome sequencing of cynomolgus monkeys (Macaca fascicularis).

Authors:  Sang-Je Park; Young-Hyun Kim; Jae-Won Huh; Sang-Rae Lee; Sang-Hyun Kim; Sun-Uk Kim; Ji-Su Kim; Kang-Jin Jeong; Kyoung-Min Kim; Heui-Soo Kim; Kyu-Tae Chang
Journal:  PLoS One       Date:  2013-04-15       Impact factor: 3.240

  3 in total

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