Untargeted Metabolomic Profiling of Liver in a Chronic Intermittent Hypoxia Mouse Model.
Untargeted Metabolomic Profiling of Liver in a Chronic Intermittent Hypoxia Mouse Model.
复制标题
慢性间歇性缺氧小鼠模型中肝脏的非靶向代谢组学分析
DOI:
10.3389/fphys.2021.701035
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发表时间:
2021
影响因子:
4
通讯作者:
Lin XJ
中科院分区:
文献类型:
--
作者:
Chen LD;Huang ZW;Huang YZ;Huang JF;Zhang ZP;Lin XJ
Obstructive sleep apnea (OSA) has been demonstrated to be associated with liver injury. Nevertheless, the mechanisms linking the two disorders remain largely unexplored to date. Based on UHPLC/Q-TOF MS platform, the present study aimed to study the hepatic metabolomic profiling in a chronic intermittent hypoxia (CIH) mouse model to identify altered metabolites and related metabolic pathways. C57BL/6 Mice (n = 12 each group) were exposed to intermittent hypoxia or control conditions (room air) for 12 weeks. At the end of the exposure, liver enzymes and histological changes were assessed. Untargeted metabolomics approach by UHPLC/Q-TOF MS and orthogonal partial least squares-discriminant analysis (OPLS-DA) were applied to screen altered metabolites in mice liver. Bioinformatics analyses were applied to identify the related metabolic pathways. CIH treatment caused a remarkable liver injury in mice. A total of 27 differential metabolites in negative ion mode and 44 in positive ion mode were identified between the two groups. These metabolites were correlated to multiple biological and metabolic processes, including various amino acid metabolism, membrane transport, lipid metabolism, carbohydrate metabolism, nucleotide metabolism, ferroptosis, etc. three differential metabolites including glutathione, glutathione disulfide, arachidonic acid (peroxide free) were identified in the ferroptosis pathway. CIH was associated with a significant metabolic profiling change in mice liver. The metabolites in amino acid metabolism, membrane transport, lipid metabolism, carbohydrate metabolism, nucleotide metabolism, and ferroptosis played an important role in CIH-induced liver injury. These findings contribute to a better understanding of the mechanisms linking OSA and liver injury and help identify potential therapeutic targets.
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影响因子:
64.5
作者:
Dixon SJ;Lemberg KM;Lamprecht MR;Skouta R;Zaitsev EM;Gleason CE;Patel DN;Bauer AJ;Cantley AM;Yang WS;Morrison B 3rd;Stockwell BR
通讯作者:
Stockwell BR
影响因子:
4.6
作者:
Xu H;Zheng X;Qian Y;Guan J;Yi H;Zou J;Wang Y;Meng L;Zhao A;Yin S;Jia W
通讯作者:
Jia W
影响因子:
3.3
作者:
Li, JG;Grigoryev, DN;Polotsky, VY
通讯作者:
Polotsky, VY
影响因子:
2.6
作者:
Chen, Li-Da;Zhang, Liang-Ji;Lin, Li
通讯作者:
Lin, Li
影响因子:
2.7
作者:
Savransky V;Reinke C;Jun J;Bevans-Fonti S;Nanayakkara A;Li J;Myers AC;Torbenson MS;Polotsky VY
通讯作者:
Polotsky VY