4.7 Review

Metabolomics: A useful tool for ischemic stroke research

Journal

JOURNAL OF PHARMACEUTICAL ANALYSIS
Volume 13, Issue 9, Pages 968-983

Publisher

ELSEVIER
DOI: 10.1016/j.jpha.2023.05.015

Keywords

Metabolomics; Ischemic stroke; Biomarker; Precision medicine; Single cell metabolomics

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Metabolomics, as a growing field in systems biology, holds great promise in identifying biomarkers, understanding mechanisms, and monitoring therapeutic outcomes. This review discusses recent advances in metabolomics and its applications in ischemic stroke, as well as summarizing the developments in Chinese herbal formulations and single cell metabolomics.
Ischemic stroke (IS) is a multifactorial and heterogeneous disease. Despite years of studies, effective strategies for the diagnosis, management and treatment of stroke are still lacking in clinical practice. Metabolomics is a growing field in systems biology. It is starting to show promise in the identification of biomarkers and in the use of pharmacometabolomics to help patients with certain disorders choose their course of treatment. The development of metabolomics has enabled further and more biological appli-cations. Particularly, metabolomics is increasingly being used to diagnose diseases, discover new drug targets, elucidate mechanisms, and monitor therapeutic outcomes and its potential effect on precision medicine. In this review, we reviewed some recent advances in the study of metabolomics as well as how metabolomics might be used to identify novel biomarkers and understand the mechanisms of IS. Then, the use of metabolomics approaches to investigate the molecular processes and active ingredients of Chinese herbal formulations with anti-IS capabilities is summarized. We finally summarized recent developments in single cell metabolomics for exploring the metabolic profiles of single cells. Although the field is relatively young, the development of single cell metabolomics promises to provide a powerful tool for unraveling the pathogenesis of IS.(c) 2023 The Author(s). Published by Elsevier B.V. on behalf of Xi'an Jiaotong University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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