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代谢组学在高脂血症中的应用:生物标志物发现与治疗效果评估的见解

The Application of Metabolomics in Hyperlipidemia: Insights into Biomarker Discovery and Treatment Efficacy Assessment.

作者信息

Alwahsh Mohammad, Alejel Rahaf, Hasan Aya, Abuzaid Haneen, Al-Qirim Tariq

机构信息

Faculty of Pharmacy, Al-Zaytoonah University of Jordan, Amman 17138, Jordan.

出版信息

Metabolites. 2024 Aug 6;14(8):438. doi: 10.3390/metabo14080438.

DOI:10.3390/metabo14080438
PMID:39195534
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11356594/
Abstract

Hyperlipidemia is a lipid metabolism disorder that refers to increased levels of total triglycerides (TGs), cholesterol (TC), and low-density lipoprotein-cholesterol (LDL-C) and decreased levels of high-density lipoprotein-cholesterol (HDL-C). It is a major public health issue with increased prevalence and incidence worldwide. The ability to identify individuals at risk of this disorder before symptoms manifest will facilitate timely intervention and management to avert potential complications. This can be achieved by employing metabolomics as an early detection method for the diagnostic biomarkers of hyperlipidemia. Metabolomics is an analytical approach used to detect and quantify metabolites. This provides the ability to explain the metabolic processes involved in the development and progression of certain diseases. In recent years, interest in the use of metabolomics to identify disease biomarkers has increased, and several biomarkers have been discovered, such as docosahexaenoic acid, glycocholic acid, citric acid, betaine, and carnitine. This review discusses the primary metabolic alterations in the context of hyperlipidemia. Furthermore, we provide an overview of recent studies on the application of metabolomics to the assessment of the efficacy of traditional herbal products and common lipid-lowering medications.

摘要

高脂血症是一种脂质代谢紊乱疾病,指总甘油三酯(TGs)、胆固醇(TC)和低密度脂蛋白胆固醇(LDL-C)水平升高,以及高密度脂蛋白胆固醇(HDL-C)水平降低。它是一个重大的公共卫生问题,在全球范围内患病率和发病率都在上升。在症状出现之前识别出有患这种疾病风险的个体,将有助于及时进行干预和管理,以避免潜在的并发症。这可以通过采用代谢组学作为高脂血症诊断生物标志物的早期检测方法来实现。代谢组学是一种用于检测和定量代谢物的分析方法。这使得能够解释某些疾病发生和发展过程中涉及的代谢过程。近年来,利用代谢组学识别疾病生物标志物的兴趣有所增加,并且已经发现了几种生物标志物,如二十二碳六烯酸、甘氨胆酸、柠檬酸、甜菜碱和肉碱。这篇综述讨论了高脂血症背景下的主要代谢改变。此外,我们概述了最近关于代谢组学在评估传统草药产品和常见降脂药物疗效方面应用的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af78/11356594/e830042404b0/metabolites-14-00438-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af78/11356594/41b9c40d4b99/metabolites-14-00438-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af78/11356594/e830042404b0/metabolites-14-00438-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af78/11356594/41b9c40d4b99/metabolites-14-00438-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af78/11356594/e830042404b0/metabolites-14-00438-g001.jpg

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The Heart of the World.世界的中心。
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Global Burden of Cardiovascular Diseases and Risks, 1990-2022.1990 - 2022年心血管疾病及其风险的全球负担
J Am Coll Cardiol. 2023 Dec 19;82(25):2350-2473. doi: 10.1016/j.jacc.2023.11.007.
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Early hyperlipidemia triggers metabolomic reprogramming with increased SAH, increased acetyl-CoA-cholesterol synthesis, and decreased glycolysis.早期高血脂会引发代谢组重编程,导致 SAH 增加、乙酰辅酶 A-胆固醇合成增加和糖酵解减少。
Redox Biol. 2023 Aug;64:102771. doi: 10.1016/j.redox.2023.102771. Epub 2023 Jun 16.
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Hypolipidemic effect and molecular mechanism of ginsenosides: a review based on oxidative stress.人参皂苷的降血脂作用及分子机制:基于氧化应激的综述
Front Pharmacol. 2023 Apr 28;14:1166898. doi: 10.3389/fphar.2023.1166898. eCollection 2023.
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Nutrients. 2023 Mar 31;15(7):1726. doi: 10.3390/nu15071726.
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