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One extraction tool for in vitro-in vivo extrapolation?SPME-based metabolomics of in vitro 2D,3D,and in vivo mouse melanoma models / 药物分析学报
Journal of Pharmaceutical Analysis ; (6): 667-674, 2021.
Article in Chinese | WPRIM | ID: wpr-908788
ABSTRACT
Solid phase microextraction(SPME)in combination with high-resolution mass spectrometry was employed for the determination of metabolomic profile of mouse melanoma growth within in vitro 2D,in vitro 3D,and in vivo models.Such multi-model approach had never been investigated before.Due to the low-invasiveness of SPME,it was possible to perform time-course analysis,which allowed building time profile of biochemical reactions in the studied material.Such approach does not require the multiplication of samples as subsequent analyses are performed from the very same cell culture or from the same individual.SPME already reduces the number of animals required for experiment;therefore,it is with good concordance with the 3Rs rule(replacement,reduction,and refinement).Among tested models,the largest number of compounds was found within the in vitro 2D cell culture model,while in vivo and in vitro 3D models had the lowest number of detected compounds.These results may be connected with a higher metabolic rate,as well as lower integrity of the in vitro 2D model compared to the in vitro 3D model resulting in a lower number of compounds released into medium in the latter model.In terms of in vitro-in vivo extrapolation,the in vitro 2D model performed more similar to in vivo model compared to in vitro 3D model;however,it might have been due to the fact that only compounds secreted to medium were investigated.Thus,in further experiments to obtain full metabolome infor-mation,the intraspheroidal assessment or spheroid dissociation would be necessary.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Journal of Pharmaceutical Analysis Year: 2021 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Journal of Pharmaceutical Analysis Year: 2021 Type: Article