• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

脂质组学在哺乳动物模型疾病生物标志物发现中的应用。

Lipidomics applications for disease biomarker discovery in mammal models.

作者信息

Zhao Ying-Yong, Cheng Xian-Long, Lin Rui-Chao, Wei Feng

机构信息

Key Laboratory of Resource Biology & Biotechnology in Western China, Ministry of Education, The College of Life Sciences, Northwest University, Xi'an, Shaanxi, China.

出版信息

Biomark Med. 2015;9(2):153-68. doi: 10.2217/bmm.14.81.

DOI:10.2217/bmm.14.81
PMID:25689902
Abstract

Lipidomics is a lipid-targeted metabolomics approach focusing on comprehensive analysis of all lipids with which they interact in biology systems. Recent technological advances in MS and chromatography have greatly enhanced the developments and applications of metabolic profiling of diverse lipids in complex biological samples. Lipidomics will not only provide insights into the specific functions of lipid species in health and disease, but will also identify potential biomarkers for establishing preventive or therapeutic programs for human disease. In this review, recent applications of lipidomics to understand animal models of disease such as metabolic syndromes, neurodegenerative diseases, cancer and infectious diseases are considered. We also discuss the lipidomics for the future perspectives and their potential problems.

摘要

脂质组学是一种以脂质为靶向的代谢组学方法,专注于对生物系统中与之相互作用的所有脂质进行全面分析。质谱和色谱技术的最新进展极大地推动了复杂生物样品中各种脂质代谢谱分析的发展与应用。脂质组学不仅将为脂质种类在健康和疾病中的特定功能提供见解,还将识别潜在的生物标志物,以建立人类疾病的预防或治疗方案。在这篇综述中,我们考虑了脂质组学在理解疾病动物模型(如代谢综合征、神经退行性疾病、癌症和传染病)方面的最新应用。我们还讨论了脂质组学的未来前景及其潜在问题。

相似文献

1
Lipidomics applications for disease biomarker discovery in mammal models.脂质组学在哺乳动物模型疾病生物标志物发现中的应用。
Biomark Med. 2015;9(2):153-68. doi: 10.2217/bmm.14.81.
2
Lipidomics applications for discovering biomarkers of diseases in clinical chemistry.脂质组学在临床化学中发现疾病生物标志物的应用。
Int Rev Cell Mol Biol. 2014;313:1-26. doi: 10.1016/B978-0-12-800177-6.00001-3.
3
Recent advances in lipidomics: Analytical and clinical perspectives.脂质组学的最新进展:分析与临床视角
Prostaglandins Other Lipid Mediat. 2017 Jan;128-129:8-16. doi: 10.1016/j.prostaglandins.2016.12.002. Epub 2016 Dec 27.
4
Lipidomics, Biomarkers, and Schizophrenia: A Current Perspective.脂质组学、生物标志物与精神分裂症:当前视角
Adv Exp Med Biol. 2017;965:265-290. doi: 10.1007/978-3-319-47656-8_11.
5
Analytical strategies in lipidomics and applications in disease biomarker discovery.脂质组学中的分析策略及其在疾病生物标志物发现中的应用。
J Chromatogr B Analyt Technol Biomed Life Sci. 2009 Sep 15;877(26):2836-46. doi: 10.1016/j.jchromb.2009.01.038. Epub 2009 Feb 5.
6
Lipidomics: Novel insight into the biochemical mechanism of lipid metabolism and dysregulation-associated disease.脂质组学:脂质代谢及其相关疾病失调的生化机制的新见解。
Chem Biol Interact. 2015 Oct 5;240:220-38. doi: 10.1016/j.cbi.2015.09.005. Epub 2015 Sep 8.
7
Analytical approaches for lipidomics and its potential applications in neuropsychiatric disorders.脂质组学的分析方法及其在神经精神疾病中的潜在应用。
World J Biol Psychiatry. 2017 Oct;18(7):506-520. doi: 10.3109/15622975.2015.1117656. Epub 2016 Jan 26.
8
Ultra-performance liquid chromatography-mass spectrometry as a sensitive and powerful technology in lipidomic applications.超高效液相色谱-质谱联用技术在脂质组学应用中具有高灵敏度和强大的技术优势。
Chem Biol Interact. 2014 Sep 5;220:181-92. doi: 10.1016/j.cbi.2014.06.029. Epub 2014 Jul 9.
9
Optimizing the lipidomics workflow for clinical studies--practical considerations.优化临床研究中的脂质组学工作流程——实际考量
Anal Bioanal Chem. 2015 Jul;407(17):4973-93. doi: 10.1007/s00216-015-8633-2. Epub 2015 Apr 9.
10
Lipidomics and Biomarker Discovery in Kidney Disease.脂质组学与肾脏疾病生物标志物发现
Semin Nephrol. 2018 Mar;38(2):127-141. doi: 10.1016/j.semnephrol.2018.01.004.

引用本文的文献

1
Metabolism of sphingolipids in a rat spinal cord stenosis model.大鼠脊髓狭窄模型中鞘脂的代谢
Biochem Biophys Rep. 2025 Apr 25;42:102025. doi: 10.1016/j.bbrep.2025.102025. eCollection 2025 Jun.
2
Prediction Model and Decision Analysis for Early Recognition of SDNS/FRNS in Children.儿童类固醇耐药性肾病综合征/频繁复发肾病综合征早期识别的预测模型与决策分析
J Inflamm Res. 2024 Dec 7;17:10585-10598. doi: 10.2147/JIR.S494530. eCollection 2024.
3
Advances in Mass Spectrometry-Based Blood Metabolomics Profiling for Non-Cancer Diseases: A Comprehensive Review.
基于质谱的非癌症疾病血液代谢组学分析进展:综述
Metabolites. 2024 Jan 14;14(1):54. doi: 10.3390/metabo14010054.
4
Dairy Milk Casein and Whey Proteins Differentially Alter the Postprandial Lipidome in Persons with Prediabetes: A Comparative Lipidomics Study.乳制牛奶的酪蛋白和乳清蛋白在糖尿病前期患者的餐后脂质组中存在差异:一项比较脂质组学研究。
J Agric Food Chem. 2022 Aug 24;70(33):10209-10220. doi: 10.1021/acs.jafc.2c03662. Epub 2022 Aug 10.
5
Association between lipid profiles and viral respiratory infections in human sputum samples.脂类谱与人类痰样本中病毒呼吸道感染的关联。
Respir Res. 2022 Jul 2;23(1):177. doi: 10.1186/s12931-022-02091-w.
6
Using Omics to Study Leprosy, Tuberculosis, and Other Mycobacterial Diseases.利用组学研究麻风病、结核病和其他分枝杆菌病。
Front Cell Infect Microbiol. 2022 Feb 24;12:792617. doi: 10.3389/fcimb.2022.792617. eCollection 2022.
7
LC-MS-Based Lipidomic Analysis of Serum Samples from Patients with Type 2 Diabetes Mellitus (T2DM).基于 LC-MS 的 2 型糖尿病患者血清脂质组学分析。
Dis Markers. 2022 Feb 12;2022:5559470. doi: 10.1155/2022/5559470. eCollection 2022.
8
Review of Metabolomics-Based Biomarker Research for Parkinson's Disease.基于代谢组学的帕金森病生物标志物研究综述。
Mol Neurobiol. 2022 Feb;59(2):1041-1057. doi: 10.1007/s12035-021-02657-7. Epub 2021 Nov 26.
9
Serum metabolomics of end-stage renal disease patients with depression: potential biomarkers for diagnosis.终末期肾病伴发抑郁患者的血清代谢组学研究:潜在的诊断生物标志物。
Ren Fail. 2021 Dec;43(1):1479-1491. doi: 10.1080/0886022X.2021.1994995.
10
Lipidomic approaches to dissect dysregulated lipid metabolism in kidney disease.脂质组学方法解析肾脏病中脂质代谢失调。
Nat Rev Nephrol. 2022 Jan;18(1):38-55. doi: 10.1038/s41581-021-00488-2. Epub 2021 Oct 6.