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基于质谱的非癌症疾病血液代谢组学分析进展:综述

Advances in Mass Spectrometry-Based Blood Metabolomics Profiling for Non-Cancer Diseases: A Comprehensive Review.

作者信息

Demicheva Ekaterina, Dordiuk Vladislav, Polanco Espino Fernando, Ushenin Konstantin, Aboushanab Saied, Shevyrin Vadim, Buhler Aleksey, Mukhlynina Elena, Solovyova Olga, Danilova Irina, Kovaleva Elena

机构信息

Institute of Natural Sciences and Mathematics, Ural Federal University, Ekaterinburg 620075, Russia.

Institute of Immunology and Physiology of the Ural Branch of the Russian Academy of Sciences, Ekaterinburg 620049, Russia.

出版信息

Metabolites. 2024 Jan 14;14(1):54. doi: 10.3390/metabo14010054.


DOI:10.3390/metabo14010054
PMID:38248857
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10820779/
Abstract

Blood metabolomics profiling using mass spectrometry has emerged as a powerful approach for investigating non-cancer diseases and understanding their underlying metabolic alterations. Blood, as a readily accessible physiological fluid, contains a diverse repertoire of metabolites derived from various physiological systems. Mass spectrometry offers a universal and precise analytical platform for the comprehensive analysis of blood metabolites, encompassing proteins, lipids, peptides, glycans, and immunoglobulins. In this comprehensive review, we present an overview of the research landscape in mass spectrometry-based blood metabolomics profiling. While the field of metabolomics research is primarily focused on cancer, this review specifically highlights studies related to non-cancer diseases, aiming to bring attention to valuable research that often remains overshadowed. Employing natural language processing methods, we processed 507 articles to provide insights into the application of metabolomic studies for specific diseases and physiological systems. The review encompasses a wide range of non-cancer diseases, with emphasis on cardiovascular disease, reproductive disease, diabetes, inflammation, and immunodeficiency states. By analyzing blood samples, researchers gain valuable insights into the metabolic perturbations associated with these diseases, potentially leading to the identification of novel biomarkers and the development of personalized therapeutic approaches. Furthermore, we provide a comprehensive overview of various mass spectrometry approaches utilized in blood metabolomics research, including GC-MS, LC-MS, and others discussing their advantages and limitations. To enhance the scope, we propose including recent review articles supporting the applicability of GC×GC-MS for metabolomics-based studies. This addition will contribute to a more exhaustive understanding of the available analytical techniques. The Integration of mass spectrometry-based blood profiling into clinical practice holds promise for improving disease diagnosis, treatment monitoring, and patient outcomes. By unraveling the complex metabolic alterations associated with non-cancer diseases, researchers and healthcare professionals can pave the way for precision medicine and personalized therapeutic interventions. Continuous advancements in mass spectrometry technology and data analysis methods will further enhance the potential of blood metabolomics profiling in non-cancer diseases, facilitating its translation from the laboratory to routine clinical application.

摘要

使用质谱法进行血液代谢组学分析已成为研究非癌症疾病及其潜在代谢改变的有力方法。血液作为一种易于获取的生理流体,包含来自各种生理系统的多种代谢物。质谱法为血液代谢物的综合分析提供了一个通用且精确的分析平台,包括蛋白质、脂质、肽、聚糖和免疫球蛋白。在这篇全面的综述中,我们概述了基于质谱的血液代谢组学分析的研究现状。虽然代谢组学研究领域主要集中在癌症方面,但本综述特别强调与非癌症疾病相关的研究,旨在关注那些常常被忽视的有价值的研究。我们采用自然语言处理方法处理了507篇文章,以深入了解代谢组学研究在特定疾病和生理系统中的应用。该综述涵盖了广泛的非癌症疾病,重点关注心血管疾病、生殖疾病、糖尿病、炎症和免疫缺陷状态。通过分析血液样本,研究人员能够深入了解与这些疾病相关的代谢紊乱,这可能有助于识别新的生物标志物并开发个性化的治疗方法。此外,我们全面概述了血液代谢组学研究中使用的各种质谱方法,包括气相色谱 - 质谱联用(GC-MS)、液相色谱 - 质谱联用(LC-MS)等,并讨论了它们的优缺点。为了扩大范围,我们建议纳入支持全二维气相色谱 - 质谱联用(GC×GC-MS)在基于代谢组学研究中的适用性的近期综述文章。这一补充将有助于更全面地了解现有的分析技术。将基于质谱的血液分析纳入临床实践有望改善疾病诊断、治疗监测和患者预后。通过揭示与非癌症疾病相关的复杂代谢改变,研究人员和医疗保健专业人员可以为精准医学和个性化治疗干预铺平道路。质谱技术和数据分析方法的不断进步将进一步提升血液代谢组学分析在非癌症疾病中的潜力,促进其从实验室向常规临床应用的转化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e742/10820779/21f045d5059c/metabolites-14-00054-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e742/10820779/90e3ffa1b380/metabolites-14-00054-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e742/10820779/0692c1c6eda9/metabolites-14-00054-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e742/10820779/21f045d5059c/metabolites-14-00054-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e742/10820779/90e3ffa1b380/metabolites-14-00054-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e742/10820779/0692c1c6eda9/metabolites-14-00054-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e742/10820779/21f045d5059c/metabolites-14-00054-g003.jpg

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[2]
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