{"title":"氟西汀在胰岛素瘤细胞系(MIN6)中诱导的生化变化的代谢组学鉴定。","authors":"Surachai Ngamratanapaiboon, Krittaboon Pornchokchai, Siriphattarinya Wongpitoonmanachai, Petchlada Pholkla, Napatarin Srikornvit, Jiajun Mo, Patipol Hongthawonsiri, Pracha Yambangyang, Pilaslak Akrachalanont","doi":"10.4103/1735-5362.383707","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and purpose: </strong>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.</p><p><strong>Experimental approach: </strong>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.</p><p><strong>Findings/results: </strong>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.</p><p><strong>Conclusion and implications: </strong>The current study provides insights into the molecular mechanisms of fluoxetine effects in MIN6 cells.</p>","PeriodicalId":21075,"journal":{"name":"Research in Pharmaceutical Sciences","volume":"18 5","pages":"517-527"},"PeriodicalIF":2.1000,"publicationDate":"2023-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/1b/15/RPS-18-517.PMC10568956.pdf","citationCount":"0","resultStr":"{\"title\":\"Metabolomic identification of biochemical changes induced by fluoxetine in an insulinoma cell line (MIN6).\",\"authors\":\"Surachai Ngamratanapaiboon, Krittaboon Pornchokchai, Siriphattarinya Wongpitoonmanachai, Petchlada Pholkla, Napatarin Srikornvit, Jiajun Mo, Patipol Hongthawonsiri, Pracha Yambangyang, Pilaslak Akrachalanont\",\"doi\":\"10.4103/1735-5362.383707\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background and purpose: </strong>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.</p><p><strong>Experimental approach: </strong>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.</p><p><strong>Findings/results: </strong>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.</p><p><strong>Conclusion and implications: </strong>The current study provides insights into the molecular mechanisms of fluoxetine effects in MIN6 cells.</p>\",\"PeriodicalId\":21075,\"journal\":{\"name\":\"Research in Pharmaceutical Sciences\",\"volume\":\"18 5\",\"pages\":\"517-527\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2023-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/1b/15/RPS-18-517.PMC10568956.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Research in Pharmaceutical Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4103/1735-5362.383707\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/9/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"CHEMISTRY, MEDICINAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research in Pharmaceutical Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/1735-5362.383707","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/9/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"CHEMISTRY, MEDICINAL","Score":null,"Total":0}
Metabolomic identification of biochemical changes induced by fluoxetine in an insulinoma cell line (MIN6).
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/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.
Conclusion and implications: The current study provides insights into the molecular mechanisms of fluoxetine effects in MIN6 cells.
期刊介绍:
Research in Pharmaceutical Sciences (RPS) is included in Thomson Reuters ESCI Web of Science (searchable at WoS master journal list), indexed with PubMed and PubMed Central and abstracted in the Elsevier Bibliographic Databases. Databases include Scopus, EMBASE, EMCare, EMBiology and Elsevier BIOBASE. It is also indexed in several specialized databases including Scientific Information Database (SID), Google Scholar, Iran Medex, Magiran, Index Copernicus (IC) and Islamic World Science Citation Center (ISC).