Literature DB >> 28717098

Evaluation of drug-induced hematotoxicity using novel in vitro monkey CFU-GM and BFU-E colony assays.

Koichi Goto1, Mayumi Goto1, Masako Ando-Imaoka1, Kiyonori Kai1, Kazuhiko Mori1.   

Abstract

In order to evaluate drug-induced hematotoxicity in monkey cells in vitro, colony-forming unit-granulocyte, macrophage (CFU-GM), and burst-forming unit-erythroid (BFU-E) colony assays were established using mononuclear cells in the bone marrow collected from male cynomolgus monkeys. Furthermore, the effects of doxorubicin, chloramphenicol, and linezolid on CFU-GM and BFU-E colony formation were investigated using established monkey CFU-GM and BFU-E colony assays in comparison with those on human CFU-GM and BFU-E colonies acquired from human umbilical cord blood cells. Bone marrow mononuclear cells were collected from the ischial or iliac bone of male cynomolgus monkeys. The cells were subsequently processed by density gradient separation at 1.067, 1.070, or 1.077 g/mL for CFU-GM or 1.077 g/mL for BFU-E, and then cultured in methylcellulose medium for 9 or 13 days, respectively. A sufficient number of CFU-GM colonies were formed from mononuclear cells processed at a density of 1.070 g/mL. Moreover, the number of BFU-E colonies from the cells processed at a density of 1.077 g/mL was sufficient for the colony assay. The number of CFU-GM or BFU-E colonies decreased after treatment with the drugs of interest in a concentration-dependent manner. Compared with human CFU-GM, monkey CFU-GM were more sensitive to chloramphenicol and resistant to doxorubicin, whereas monkey BFU-E were more sensitive to all compounds in comparison to the sensitivity of human BFU-E. In conclusion, monkey CFU-GM and BFU-E colony assays were established and considered useful tools to evaluate the differences in drug-induced hematotoxicity between species.

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Keywords:  Chloramphenicol; Doxorubicin; Linezolid; Monkey BFU-E; Monkey CFU-GM

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Year:  2017        PMID: 28717098     DOI: 10.2131/jts.42.397

Source DB:  PubMed          Journal:  J Toxicol Sci        ISSN: 0388-1350            Impact factor:   2.196


  1 in total

1.  In silico prediction of chemical-induced hematotoxicity with machine learning and deep learning methods.

Authors:  Yuqing Hua; Yinping Shi; Xueyan Cui; Xiao Li
Journal:  Mol Divers       Date:  2021-07-01       Impact factor: 2.943

  1 in total

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