Lipids as Emerging Biomarkers in Neurodegenerative Diseases

IF 4.9 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Justin Wei, Li Chin Wong, Sebastian Boland
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引用次数: 0

Abstract

Biomarkers are molecules that can be used to observe changes in an individual’s biochemical or medical status and provide information to aid diagnosis or treatment decisions. Dysregulation in lipid metabolism in the brain is a major risk factor for many neurodegenerative disorders, including frontotemporal dementia, Alzheimer’s disease, Parkinson’s disease, and amyotrophic lateral sclerosis. Thus, there is a growing interest in using lipids as biomarkers in neurodegenerative diseases, with the anionic phospholipid bis(monoacylglycerol)phosphate and (glyco-)sphingolipids being the most promising lipid classes thus far. In this review, we provide a general overview of lipid biology, provide examples of abnormal lysosomal lipid metabolism in neurodegenerative diseases, and discuss how these insights might offer novel and promising opportunities in biomarker development and therapeutic discovery. Finally, we discuss the challenges and opportunities of lipid biomarkers and biomarker panels in diagnosis, prognosis, and/or treatment response in the clinic.
作为神经退行性疾病新兴生物标记物的血脂
生物标记物是一种分子,可用于观察个体的生化或医学状态的变化,并提供有助于诊断或治疗决策的信息。大脑脂质代谢失调是许多神经退行性疾病(包括额颞叶痴呆症、阿尔茨海默病、帕金森病和肌萎缩侧索硬化症)的主要风险因素。因此,人们对使用脂质作为神经退行性疾病的生物标记物越来越感兴趣,其中阴离子磷脂双(单酰甘油)磷酸酯和(糖)鞘磷脂是迄今为止最有前景的脂质类别。在这篇综述中,我们概述了脂质生物学,举例说明了神经退行性疾病中溶酶体脂质代谢异常的情况,并讨论了这些见解如何为生物标记物开发和治疗发现提供新颖而有前景的机会。最后,我们将讨论脂质生物标志物和生物标志物组在临床诊断、预后判断和/或治疗反应中面临的挑战和机遇。
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来源期刊
International Journal of Molecular Sciences
International Journal of Molecular Sciences Chemistry-Organic Chemistry
CiteScore
8.10
自引率
10.70%
发文量
13472
审稿时长
17.49 days
期刊介绍: The International Journal of Molecular Sciences (ISSN 1422-0067) provides an advanced forum for chemistry, molecular physics (chemical physics and physical chemistry) and molecular biology. It publishes research articles, reviews, communications and short notes. Our aim is to encourage scientists to publish their theoretical and experimental results in as much detail as possible. Therefore, there is no restriction on the length of the papers or the number of electronics supplementary files. For articles with computational results, the full experimental details must be provided so that the results can be reproduced. Electronic files regarding the full details of the calculation and experimental procedure, if unable to be published in a normal way, can be deposited as supplementary material (including animated pictures, videos, interactive Excel sheets, software executables and others).
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