LC–MS-Based\nMetabolomics and Lipidomics Study\nof High-Density-Lipoprotein-Modulated Glucose Metabolism with an apoA‑I\nKnockout Mouse Model
Jia Liu (41593), Mingming Zhao (760369), Yizhang Zhu (6081839), Xu Wang (28596), Lemin Zheng (122584), Yuxin Yin (162258)
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摘要与影响
Type\n2 diabetes mellitus (T2DM) has become a tremendous problem\nin public health nowadays. High-density lipoprotein (HDL) refers to\na group of heterogeneous particles that circulate in blood, and a\nrecent research finds that HDL acts a pivotal part of glucose metabolism.\nTo understand systemic metabolic changes correlated with HDL in glucose\nmetabolism, we applied LC–MS-based metabolomics and lipidomics\nto detect metabolomic and lipidomic profiles of plasma from apoA-I\nknockout mice fed a high-fat diet. Multivariate analysis was applied\nto differentiate apoA-I knockout mice and controls, and potential\nbiomarkers were found. Pathway analysis demonstrated that several\nmetabolic pathways such as aminoacyl-tRNA biosynthesis, arginine and\nproline metabolism, and phenylalanine, tyrosine, and tryptophan biosynthesis\nwere dysregulated in apoA-I knockout mice. This study may provide\na new insight into the underlying pathogenesis in T2DM and prove that\nLC–MS-based metabolomics and lipidomics are powerful approaches\nin finding potential biomarkers and disturbed pathways.
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生物医学Metabolomics and Mass Spectrometry Studies
Diabetes, Cardiovascular Risks, and Lipoproteins · Microbial Metabolic Engineering and Bioproduction