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Emerging role of metabolomics in protein conformational disorders
Expert Review of Proteomics ( IF 3.4 ) Pub Date : 2021-07-06 , DOI: 10.1080/14789450.2021.1948330
Nimisha Gupta 1 , Sreelakshmi Ramakrishnan 1 , Saima Wajid 1
Affiliation  

ABSTRACT

Introduction: Metabolomics focuses on interactions among different metabolites associated with various cellular functions in cells, tissues, and organs. In recent years, metabolomics has emerged as a powerful tool to identify perturbed metabolites, pathways influenced by the environment, for protein conformational diseases (PCDs) and also offers wide clinical application.

Area Covered: This review provides a brief overview of recent advances in metabolomics as applied to identify metabolic variations in PCDs, such as Alzheimer’s disease, Parkinson’s disease, Huntington’s disease, prion disease, and cardiac amyloidosis. The ‘PubMed’ and ‘Google Scholar’ database search methods have been used to screen the published reports with key search terms: metabolomics, biomarkers, and protein conformational disorders.

Expert opinion: Metabolomics is the large-scale study of metabolites and is deemed to overwhelm other omics. It plays a crucial role in finding variations in diseases due to protein conformational changes. However, many PCDs are yet to be identified. Metabolomics is still an emerging field; there is a need for new high-resolution analytical techniques and more studies need to be carried out to generate new information.



中文翻译:

代谢组学在蛋白质构象障碍中的新兴作用

摘要

简介:代谢组学侧重于与细胞、组织和器官中的各种细胞功能相关的不同代谢物之间的相互作用。近年来,代谢组学已成为一种强大的工具,可用于识别受环境影响的受干扰代谢物、蛋白质构象疾病 (PCD) 的途径,并提供广泛的临床应用。

涵盖范围:本综述简要概述了代谢组学的最新进展,这些进展可用于识别 PCD 中的代谢变异,例如阿尔茨海默病、帕金森病、亨廷顿病、朊病毒病和心脏淀粉样变性。“PubMed”和“Google Scholar”数据库搜索方法已用于筛选已发表的报告,其中包含关键搜索词:代谢组学、生物标志物和蛋白质构象障碍。

专家意见:代谢组学是对代谢物的大规模研究,被认为压倒其他组学。它在发现由于蛋白质构象变化引起的疾病变异方面起着至关重要的作用。然而,许多 PCD 尚未确定。代谢组学仍然是一个新兴领域;需要新的高分辨率分析技术,需要进行更多研究以产生新信息。

更新日期:2021-07-13
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