Metabolomic identification of biochemical changes induced by fluoxetine in an insulinoma cell line (MIN6)

氟西汀在胰岛素瘤细胞系(MIN6)中引起的生化变化的代谢组学鉴定

阅读:6
作者:Surachai Ngamratanapaiboon, Krittaboon Pornchokchai, Siriphattarinya Wongpitoonmanachai, Petchlada Pholkla, Napatarin Srikornvit, Jiajun Mo, Patipol Hongthawonsiri, Pracha Yambangyang, Pilaslak Akrachalanont

Background and purpose

The use of fluoxetine raises the risk of pancreatic beta-cell dysfunction. However, the specific mechanism behind its mechanism of action in beta cells is unknown. This study investigated the cellular response of MIN6 cells to fluoxetine using untargeted cell-based metabolomics. Experimental approach: Metabolic profiling of MIN6 cells was performed using liquid chromatography-high resolution mass spectrometry (LC-HRMS) analysis on samples prepared under optimized conditions, followed by principal component analysis, partial least squares-discriminant analysis, and pair-wise orthogonal projections to latent structures discriminant analyses. Findings/

Purpose

The use of fluoxetine raises the risk of pancreatic beta-cell dysfunction. However, the specific mechanism behind its mechanism of action in beta cells is unknown. This study investigated the cellular response of MIN6 cells to fluoxetine using untargeted cell-based metabolomics. Experimental approach: Metabolic profiling of MIN6 cells was performed using liquid chromatography-high resolution mass spectrometry (LC-HRMS) analysis on samples prepared under optimized conditions, followed by principal component analysis, partial least squares-discriminant analysis, and pair-wise orthogonal projections to latent structures discriminant analyses. Findings/

Results

Sixty-six metabolites that had been differentially expressed between the control and fluoxetine-treated groups demonstrated that the citric acid cycle is mainly perturbed by fluoxetine treatment.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。