代谢分析

基于UPLC-Q TOF MS的代谢组学研究辛伐他汀对小鼠肝脏脂类代谢的影响*

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  • 1.深圳市药品检验研究院,深圳市药品质量标准研究重点实验室,深圳 518057;
    2.清华大学深圳研究生院,深圳 518055;
    3.香港中文大学-深圳,深圳 518172;
    4.美国南伊利诺伊医学院,斯普林菲尔德 62794
第一作者 Tel:(0755)26031700;E-mail:jinyibao2006@126.com
**Tel:(0755)26031728;E-mail:szyjwtj@163.com

修回日期: 2022-08-16

  网络出版日期: 2024-06-24

基金资助

*中国博士后基金(2015M572370);深圳市基础研究项目(JCYJ2016053017352098)

Application of UPLC-Q TOF MS based metabolomics method to study the effects of simvastatin in liver lipid metabolism in mice*

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  • 1. Shenzhen Institute for Drug Control, Shenzhen Key Laboratory of Drug Quality Standard Research, Shenzhen 518057, China;
    2. Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China;
    3. The Chinese University of Hong Kong-Shenzhen, Shenzhen 518172, China;
    4. Southern Illinois University School of Medicine, Springfield 62794, USA

Revised date: 2022-08-16

  Online published: 2024-06-24

摘要

目的: 以代谢组学技术研究辛伐他汀对小鼠肝脏中脂类物质代谢的影响。方法: 采用超高效液相色谱-高分辨飞行时间质谱(UPLC-Q TOF MS)联用技术对给予药物辛伐他汀后小鼠的肝脏样品进行代谢物指纹信息采集,使用Acquity BEH C18色谱柱,流动相为水-乙腈,梯度洗脱,流速0.5 mL·min-1,柱温35 ℃,进样室温度4 ℃,进样量10 μL;电喷雾离子源,正离子检测模式,扫描范围m/z 100~1 000,毛细管电压为3.1 kV,锥孔电压为30 V,采用100 pg·mL-1亮氨酸-脑啡肽(leucine-enkephalin,LE)溶液为质量校正溶液。通过数据采集进行代谢轮廓分析。读取总离子流色谱图中峰信息,利用主成分分析筛选出候选的差异代谢物后,通过一级、二级质谱碎片信息,比对数据库鉴别差异代谢物的结构。利用免疫印迹、同位素放射代谢流分析,验证辛伐他汀对细胞脂质合成的影响。结果: 给予辛伐他汀后,在肝组织发现8个代谢差异物,各剂量组溶血磷脂的含量增多,其中LysoPE(18∶1)在低、中、高剂量组中分别是对照组的1.14、1.24、1.31倍,LysoPC(16∶0)在、中、高剂量组分别是对照组的1.58、2.05、2.32倍。花生四烯酸、岩芹酸、O-花生四缩水甘油、17(S)-HETE、PC(16∶0/O-1∶0)、DG(16∶1/17∶1/0∶0)等脂肪酸和磷脂的含量减少,并呈现出剂量相关性。其中PC(16∶0/O-1∶0)的下降幅度最大,低、中、高剂量组中分别是对照组的0.68、0.43、0.38倍。通过同位素示踪验证辛伐他汀对脂质合成的影响并呈现出剂量相关性,对脂质合成限速酶具有调节作用。证实辛伐他汀可以抑制肝脏脂质的合成,最终导致脂类总量的降低。结论: 研究结果提示通过调节肝脏脂类代谢是辛伐他汀实现降脂作用的途径之一。

本文引用格式

金一宝, 李上富, 王珏, 曹德良, 蒋宇扬, 王铁杰 . 基于UPLC-Q TOF MS的代谢组学研究辛伐他汀对小鼠肝脏脂类代谢的影响*[J]. 药物分析杂志, 2022 , 42(10) : 1729 -1738 . DOI: 10.16155/j.0254-1793.2022.10.06

Abstract

Objective: To study the effects of simvastatin on lipid metabolism of liver samples in mice by metabolomics. Methods: The metabolite fingerprint information of liver samples of mice treated with simvastatin was collected by ultra-performance liquid chromatography-high resolution time-of-flight mass spectrometry (UPLC-Q TOF MS) using Acquity BEH C18 column, water-acetonitrile gradient eluted mobile phase, flow rate was 0.5 mL·min-1, column temperature was 35 ℃.The injection chamber temperature was 4 ℃, and the injection volume was 10 μL. The conditions of mass spectrometer were ectrospray ion source, positive ion detection mode, scanning range m/z 100-1 000, capillary voltage 3.1 kV and cone-hole voltage of 30 V,100 pg·mL-1 leucine enkephalin (LE) solution as quality correction solution. Metabolic profile analysis was performed by data acquisition. The peak information in the total ion flow chromatogram was read. The acquired data was processed by using principal component analysis. After screening for candidate differential metabolites, the structure of the differential metabolites was identified by comparing the primary and secondary mass spectrometry fragment information with the database. The effect of simvastatin on lipid synthesis was verified by Western blot and isotope radio metabolic flow analysis. Results: After administration of simvastatin, eight metabolic differentials were found in liver tissues. The content of lysophospholipids increased in each dose group, with LysoPE (18∶1) being 1.14, 1.24, and 1.31 times compared to the control group in the low, medium and high dose groups, respectively. LysoPC (16∶0) was 1.58, 2.05, and 2.32 times compared to the control group in the low, medium and high dose groups, respectively. The contents of fatty acids and phospholipids, such as arachidonic acid, petroselinic acid, O-arachidonoylglycidol, 17(S)-HETE, PC(16∶0/O-1∶0), DG(16∶1/17∶1/0∶0) were reduced and showed a dose correlation. The largest decrease was observed in PC (16∶0/O-1∶0), which was 0.68, 0.43 and 0.38 times of the control group in the low, medium and high dose groups, respectively. Through isotope tracing, the effect of simvastatin on lipid synthesis was verified and showed a dose correlation, and regulated the rate-limi ting enzyme of lipid synthesis. It was confirmed that the administration of simvastatin inhibited the synthesis of hepatic lipids, which ultimately led to a decrease in total lipid. Conclusion: The results suggest that modulation of hepatic lipid metabolism is one of the ways in which simvastatin achieve its lipid-lowering effects.

参考文献

[1] 黄月, 武晓, 薄云海, 等. 基于RP-UPLC-MS和HILIC-UPLC-MS的骨疏丹对糖皮质激素性骨质疏松模型大鼠干预作用的尿液代谢组学研究[J].中国药学杂志, 2016, 51(23): 2045
HUANG Y, WU X, BO YH, et al. A urinary metabonomic research on the intervention effects of Gushudan on prednisolone-induced oesteoprosis rats by RP-UPLC-MS and HILIC-UPLC-MS[J].Chin Pharm J, 2016, 51(23): 2045
[2] NEWGARD CB. Metabolomics and metabolic diseases: where do we stand?[J].Cell Metab, 2017, 25(1): 43
[3] 颜敏, 刘静, 夏天, 等. 细胞蛋白质组学和代谢组学整合策略表征散斑型BTB/POZ蛋白质突变调控的关键代谢通路[J].色谱, 2019, 37(8): 887
YAN M, LIU J, XIA T, et al. Identification of speckle type BTB/POZ protein mutation regulated key metabolic pathways by cell based proteomics and metabolomics [J].Chin J Chromatogr, 2019, 37(8): 887
[4] 杨晓旭, 郭艳霞, 王宇, 等. 基于代谢组学方法研究淫羊藿95%乙醇洗脱部位对大鼠尿液潜在生物标志物的干预作用[J].中国药理学与毒理学杂志, 2017, 31(8): 815
YANG XX, GUO YX, WANG Y, et al. Intervention of Epimedium 95% ethanol elution section in potential biomarkers in urine of rats based on metabonomics[J].Chin J Pharmacol Toxicol, 2017, 31(8): 815
[5] 杨秀娟, 杨志军, 李硕, 等. 基于超高效液相色谱-四极杆飞行时间质谱联用技术的血瘀模型大鼠血浆代谢组学分析[J].色谱, 2019, 37(1): 71
YANG XJ, YANG ZJ, LI S, et al. Rat plasma metabolomics in blood stasis model based on ultra performance liquid chromatography quadrupole-time-of-flight mass spectrometry[J].Chin J Chromatogr, 2019, 37(1): 71
[6] 孙启慧, 李灿, 付业佩, 等. 基于血清代谢组学的利巴韦林干预肾阳虚外感小鼠的药效或毒性作用机制研究[J].中国药学杂志, 2017, 52(16): 1409
SUN QH, LI C, FU YP, et al. Mechanism of pharmacological or toxicity effect of ribavirin on kidney-yang deficiency syndrome mice model infected with influenza virus a based on serum metabolomics[J].Chin Pharm J, 2017, 52(16): 1409
[7] 黄涌. 美托洛尔与辛伐他汀对心肌梗死患者的应用及患者心功能指标的影响[J].中国医药科学, 2019, 9(14): 41
HUANG Y. Application of metoprolol and simvastatin in patients with myocardial infarction and its effect on cardiac function indexes[J].China Med Pharm, 2019, 9(14): 41
[8] 刘亚妮, 刘金梅, 魏柳珍, 等. LC-MS/MS 测定人血浆中辛伐他汀及其活性代谢物的含量[J].药物分析杂志, 2012, 32(9): 1617
LIU YN, LIU JM, WEI LZ, et al. LC-MS/MS determination of simvastatin and its active metabolite in human plasma[J].Chin J Pharm Anal, 2012, 32(9): 1617
[9] 刘慧, 陆嘉骏, 樊璐, 等. 基于网络药理学和生物信息学的辛伐他汀分子生物学机制研究[J].中国临床药理学杂志, 2019, 35(14): 1510
LIU H, LU JJ, FAN L, et al. Molecular biological mechanism of simvastatin based on network pharmacology and bioinformatics[J].Chin J Clin Pharmacol, 2019, 35(14): 1510
[10] AN T, HAO J, SUN S, et al. Efficacy of statins for osteoporosis: a systematic review and meta-analysis[J].Osteoporos Int, 2017, 28: 47
[11] LI Z, ZHANG J, ZHANG Y, et al. Intestinal absorption and hepatic elimination of drugs in high-fat high -cholesterol diet-induces non-alcoholic steatohepatitis rats: exemplified by simvastatin[J].Br J Pharmacol, 2021, 178: 582
[12] 岳龙, 张静, 王京坡, 等. 辛伐他汀在经皮冠脉介入治疗急性新机跟四中的疗效观察[J].河北医药, 2020, 42(3):398
YUE L, ZHANG J, WANG JP, et al. Therapeutic effects of percutaneous coronary inter vention with simvastatin on acute myocardial infarction[J].Hebei Med J, 2020, 42(3):398
[13] 李军, 庄贺. 伊班膦酸钠联合辛伐他汀治疗2型糖尿病合并骨质疏松的临床研究[J].东南大学学报(医学版), 2014, 33(5): 601
LI J, ZHUANG H. Clinical study on treating type 2 diabetes mellitus complicated with osteoporosis by ibandronate combined with simvastatin[J].J Southeast Univ(Med Sci Ed), 2014, 33(5): 601
[13] 宫云昭, 刘春雷, 李可大, 等. 龟鹿二仙汤合辛伐他汀治疗绝经后骨质疏松症90例临床对比研究[J].成都中医药大学学报, 2020, 43(4): 63
GONG YZ, LIU CL, LI KD, et al. Clinical comparison of 90 case of postmenopausal osteoporosis treated by Guilu Erxian decoction and simvastatin tablets[J].J Chengdu Univ TCM, 2020, 43(4): 63
[14] 刘秀娟, 王斌, 张蕴琨. 运动与肉碱补充对肝脏胆固醇代谢的影响[J].山东体育科技, 2014, 36(1): 67
LIU XJ, WANG B, ZHANG YK. Effects of exercise and L-carnitine supplementation on cholesterol metabolism in the liver[J].Shandong Sports Sci Technol, 2014, 36(1): 67
[15] PEREZ DE SOUZA L, ALSEEKH S, SCOSSA F, et al. Ultra-high-performance liquid chromatography high-resolution mass spectrometry variants for metabolomics research[J].Nat Method, 2021,18(7):733
[16] WISHART DS, FEUNANG YD, MARCU A, et al. HMDB 4.0: the human metabolome database for 2018[J].Nucleic Acids Res, 2018, 46(D1): D608
[17] GUIJAS C, MONTENEGRO-BURKE JR, DOMINGO-ALMENARA X, et al. Metlin: a technology platform for identifying knowns and unknowns[J].Anal Chem, 2018, 90(5): 3156
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