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神经系统综合征中的脑脊液代谢组学与蛋白质组学整合

Cerebrospinal Fluid Metabolomics and Proteomics Integration in Neurological Syndromes.

作者信息

Sun Haitao, Chen Shilan, Kong Jingjing

机构信息

Clinical Biobank Center, Microbiome Medicine Center, Department of Laboratory Medicine, Guangdong Provincial Clinical Research Center for Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.

Neurosurgery Center, The National Key Clinical Specialty, Engineering Research Center of Diagnostic and Therapeutic Technology and Devices for Cerebrovascular Diseases, Ministry of Education, Guangdong Provincial Key Laboratory on Brain Function Repair and Regeneration, Zhujiang Hospital Institute for Brain Science and Intelligence, Zhujiang Hospital, Southern Medical University, Guangzhou, China.

出版信息

Methods Mol Biol. 2025;2914:303-321. doi: 10.1007/978-1-0716-4462-1_21.

Abstract

The integration of multi-omics data has increasingly been recognized as an effective approach to addressing complex problems and advancing precision medicine. Metabolomics and proteomics are closely related, and their integration provides complementary insights and enables cross-validation of experimental results. The integration of proteomics and metabolomics in cerebrospinal fluid is expected to reconstruct the complex biological networks underlying nervous system diseases, enhance understanding of molecular mechanisms, and aid in disease classification and prognosis prediction. However, integrating multi-omics data still faces numerous challenges, limiting the application of combined proteomic and metabolomic analyses in neurological diseases. Based on the advantages of integrated proteomics and metabolomics, this chapter introduces, for the first time, common strategies for the integrated analyses of omics data. Furthermore, we review advances in cerebrospinal fluid proteomics and metabolomics for neurological syndromes, highlighting current challenges and future directions.

摘要

多组学数据的整合日益被认为是解决复杂问题和推进精准医学的有效方法。代谢组学和蛋白质组学密切相关,它们的整合提供了互补的见解,并能够对实验结果进行交叉验证。脑脊液中蛋白质组学和代谢组学的整合有望重建神经系统疾病背后的复杂生物网络,增进对分子机制的理解,并有助于疾病分类和预后预测。然而,整合多组学数据仍然面临众多挑战,限制了蛋白质组学和代谢组学联合分析在神经疾病中的应用。基于蛋白质组学和代谢组学整合的优势,本章首次介绍了组学数据整合分析的常用策略。此外,我们综述了神经综合征脑脊液蛋白质组学和代谢组学的进展,强调了当前的挑战和未来的方向。

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