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解析奥密克戎变异株:整合组学分析揭示关键生物标志物和病理生理途径。

Deciphering the omicron variant: integrated omics analysis reveals critical biomarkers and pathophysiological pathways.

机构信息

Department of Clinical Laboratory, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China.

Respiratory Mechanics Laboratory, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China.

出版信息

J Transl Med. 2024 Feb 29;22(1):219. doi: 10.1186/s12967-024-05022-z.

DOI:10.1186/s12967-024-05022-z
PMID:38424541
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10905948/
Abstract

BACKGROUND

The rapid emergence and global dissemination of the Omicron variant of SARS-CoV-2 have posed formidable challenges in public health. This scenario underscores the urgent need for an enhanced understanding of Omicron's pathophysiological mechanisms to guide clinical management and shape public health strategies. Our study is aimed at deciphering the intricate molecular mechanisms underlying Omicron infections, particularly focusing on the identification of specific biomarkers.

METHODS

This investigation employed a robust and systematic approach, initially encompassing 15 Omicron-infected patients and an equal number of healthy controls, followed by a validation cohort of 20 individuals per group. The study's methodological framework included a comprehensive multi-omics analysis that integrated proteomics and metabolomics, augmented by extensive bioinformatics. Proteomic exploration was conducted via an advanced Ultra-High-Performance Liquid Chromatography (UHPLC) system linked with mass spectrometry. Concurrently, metabolomic profiling was executed using an Ultra-Performance Liquid Chromatography (UPLC) system. The bioinformatics component, fundamental to this research, entailed an exhaustive analysis of protein-protein interactions, pathway enrichment, and metabolic network dynamics, utilizing state-of-the-art tools such as the STRING database and Cytoscape software, ensuring a holistic interpretation of the data.

RESULTS

Our proteomic inquiry identified eight notably dysregulated proteins (THBS1, ACTN1, ACTC1, POTEF, ACTB, TPM4, VCL, ICAM1) in individuals infected with the Omicron variant. These proteins play critical roles in essential physiological processes, especially within the coagulation cascade and hemostatic mechanisms, suggesting their significant involvement in the pathogenesis of Omicron infection. Complementing these proteomic insights, metabolomic analysis discerned 146 differentially expressed metabolites, intricately associated with pivotal metabolic pathways such as tryptophan metabolism, retinol metabolism, and steroid hormone biosynthesis. This comprehensive metabolic profiling sheds light on the systemic implications of Omicron infection, underscoring profound alterations in metabolic equilibrium.

CONCLUSIONS

This study substantially enriches our comprehension of the physiological ramifications induced by the Omicron variant, with a particular emphasis on the pivotal roles of coagulation and platelet pathways in disease pathogenesis. The discovery of these specific biomarkers illuminates their potential as critical targets for diagnostic and therapeutic strategies, providing invaluable insights for the development of tailored treatments and enhancing patient care in the dynamic context of the ongoing pandemic.

摘要

背景

SARS-CoV-2 的奥密克戎变体的迅速出现和全球传播给公共卫生带来了巨大挑战。这种情况凸显了迫切需要加强对奥密克戎病理生理机制的理解,以指导临床管理和制定公共卫生策略。我们的研究旨在破译奥密克戎感染背后的复杂分子机制,特别是侧重于确定特定的生物标志物。

方法

本研究采用了稳健而系统的方法,首先包括 15 名奥密克戎感染患者和 15 名健康对照者,然后每个组进行了 20 名个体的验证队列。该研究的方法框架包括整合蛋白质组学和代谢组学的全面多组学分析,辅以广泛的生物信息学。通过与质谱联用的先进超高效液相色谱 (UHPLC) 系统进行蛋白质组学探索。同时,使用超高效液相色谱 (UPLC) 系统进行代谢组学分析。本研究的基础是生物信息学部分,包括使用 STRING 数据库和 Cytoscape 软件等最先进的工具对蛋白质-蛋白质相互作用、途径富集和代谢网络动态进行详尽分析,以全面解释数据。

结果

我们的蛋白质组学研究发现,感染奥密克戎变体的个体中有 8 种明显失调的蛋白质(THBS1、ACTN1、ACTC1、POTEF、ACTB、TPM4、VCL、ICAM1)。这些蛋白质在重要的生理过程中发挥关键作用,特别是在凝血级联和止血机制中,表明它们在奥密克戎感染的发病机制中具有重要作用。这些蛋白质组学发现的补充是代谢组学分析确定的 146 种差异表达代谢物,它们与关键代谢途径(如色氨酸代谢、视黄醇代谢和类固醇激素生物合成)密切相关。这种全面的代谢谱分析揭示了奥密克戎感染的系统影响,强调了代谢平衡的深刻变化。

结论

本研究大大丰富了我们对奥密克戎变体引起的生理后果的理解,特别强调了凝血和血小板途径在疾病发病机制中的关键作用。这些特定生物标志物的发现表明它们作为诊断和治疗策略的关键目标具有潜力,为在不断变化的大流行背景下制定针对性治疗方案和提高患者护理水平提供了宝贵的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/257c/10905948/7493d636717c/12967_2024_5022_Fig6_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/257c/10905948/60838d2bf4ff/12967_2024_5022_Fig4_HTML.jpg
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