Differential Effects of mTORC1 and mTORC2 Inhibition on High-Resolution Mass Spectrometry (HRMS) Metabolomics and the Internal Exposome in Pancreatic Beta Cell Lines. (14th June 2022)

• Record Type: Journal Article
• Authors: Soliman, Ghada; Abzalimov, Rinat
• Is Part Of: Current developments in nutrition. Volume 6(2022)Supplement 1
• Page Start: 1126
• Page End: 1126
• Publication Date: 2022-06-14
• Subjects: Nutrition -- Periodicals; Nutritional Physiological Phenomena; Nutrition; Periodicals; Periodicals; Fulltext; Internet Resources; Periodicals; 612.3
• DOI: 10.1093/cdn/nzac078.020
• Languages: English
• ISSNs: 2475-2991

Abstract

Abstract: Objectives: The mechanistic Target of Rapamycin Complexes (mTORC1/mTORC2) are critical nodes for metabolism. We applied an HRMS-based untargeted metabolomics approach to determine the role of mTORC1/mTORC2 on the internal exposome in pancreatic cell line (β-TC6). mTORC1 is a nutrient-sensing network, while mTORC2 phosphorylates Akt on Ser473 and modulates energy metabolism, thus mTORC1/mTORC2 are targets for precision nutrition. Methods: We used glucose-responsive, insulin-secreting, pancreatic beta-cell lines. mTORC1/mTORC2 were inhibited by RapaLink-1, a third-generation inhibitor encompassing rapamycin linked to an mTOR kinase inhibitor, or rapamycin, compared to the control. We compared the HRMS-based untargeted metabolomics (LC-MS/MS) between groups to identify the differentially expressed metabolites, predictive metabolic networks, and systems biology pathways. We employed the XCMS online cloud-based bioinformatics platform to link mTOR-regulated metabolites to biological pathways using the python mummichog algorithm. Statistical significance (P < 0.001) was assessed by ANOVA followed by adhoc unpaired t-test. Results: PCA dimension reduction and cloud plot clustering machine learning showed differential expression of metabolites between RapaLink and rapamycin-treated pancreatic beta cells. RapaLink significantly increased aminobutyrate (P < 0.001), D-glucose (p = 0.02), and O-phosphoryl ethanolamine (p = 0.003), compared to rapamycin. RapaLink also decreased glycine level (P < 0.000001) compared to the control. While both RapaLink and rapamycin decreased alanine (p = 0.003), L-asparagine (p = 0.01), L- aspartate (p < 0.001), taurine (p = 0.003), and uridine monophosphate (p = 0.004) compared to the control. The predictive metabolic pathways affected included malate-aspartate shuttle, adenosine nucleotide degradation, and glucose degradation. Conclusions: mTORC1 and mTORC2 have differential effects on glucose, bile acids, short-chain fatty acids, nucleotides, and amino acid metabolism, and thus could serve as targets for precision nutrition in pancreatic diseases and type 2 diabetes interventions. Funding Sources: Funded by the City University of New York, GC Advanced Science Research Center Seed Grant Award # 95, 649–00. XCMS online is a cloud-based open-source bioinformatics platform developed by the Scripps Institute.