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基于 UPLC-MS 系统的乙型肝炎病毒感染患者尿液代谢生物标志物及通路研究。

Urinary metabolic biomarker and pathway study of hepatitis B virus infected patients based on UPLC-MS system.

机构信息

National TCM Key Lab of Serum Pharmacochemistry, Heilongjiang University of Chinese Medicine, and Key Pharmacometabolomics Platform of Chinese Medicines, Harbin, China.

出版信息

PLoS One. 2013 May 16;8(5):e64381. doi: 10.1371/journal.pone.0064381. Print 2013.

Abstract

Hepatitis B virus (HBV) is the fatal consequence of chronic hepatitis, and lack of biomarkers has been a long standing bottleneck in the clinical diagnosis. Metabolomics concerns with comprehensive analysis of small molecules and provides a powerful approach to discover biomarkers in biological systems. Here, we present metabolomics analysis applying ultra-performance liquid chromatography/electrospray ionization quadruple time-of-flight mass spectrometry. (UPLC-Q-TOF-HDMS) to determine metabolite alterations in HBV patients. Most important permutations are elaborated using multivariate statistical analysis and network analysis that was used to select the metabolites for the noninvasive diagnosis of HBV. In this study, the total 11 urinary differential metabolites were identified and contributed to HBV progress involving several key metabolic pathways by using pathway analysis with MetPA, which are promising biomarker candidates for diagnostic research. More importantly, of 11 altered metabolites, 4 metabolite markers were effective for the diagnosis of human HBV, achieved a satisfactory accuracy, sensitivity and specificity, respectively. It demonstrates that metabolomics has the potential as a non-invasive tool to evaluate the potential of these metabolites in the early diagnosis of HBV patients. These findings may be promising to yield a valuable insight into the pathophysiology of HBV and to advance the approaches of diagnosis, treatment, and prevention.

摘要

乙型肝炎病毒 (HBV) 是慢性肝炎的致命后果,缺乏生物标志物一直是临床诊断中的长期瓶颈。代谢组学关注于小分子的全面分析,为发现生物系统中的生物标志物提供了一种强大的方法。在这里,我们应用超高效液相色谱/电喷雾电离四极杆飞行时间质谱联用技术 (UPLC-Q-TOF-HDMS) 进行代谢组学分析,以确定 HBV 患者的代谢物变化。使用多元统计分析和网络分析对最重要的排列进行了详细阐述,用于选择用于 HBV 无创诊断的代谢物。在这项研究中,通过使用 MetPA 进行途径分析,共鉴定出 11 种尿液差异代谢物,并确定其与 HBV 进展有关,涉及多个关键代谢途径,这些代谢物是用于诊断研究的有前途的生物标志物候选物。更重要的是,在 11 种改变的代谢物中,有 4 种代谢物标志物对人类 HBV 的诊断有效,分别达到了令人满意的准确性、敏感性和特异性。这表明代谢组学有可能成为一种非侵入性工具,用于评估这些代谢物在 HBV 患者早期诊断中的潜力。这些发现可能为乙型肝炎病毒的病理生理学提供有价值的见解,并推进诊断、治疗和预防的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4140/3655955/78d51fb5a0f9/pone.0064381.g001.jpg

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