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基于 SELDI 技术的蛋白质芯片分析对慢性乙型肝炎中医证候的分类。

Classification of Traditional Chinese Medicine Syndromes in Patients with Chronic Hepatitis B by SELDI-Based ProteinChip Analysis.

机构信息

Research Center for Traditional Chinese Medicine Complexity System, Shanghai University of Traditional Chinese Medicine,1200 Cailun Road, Pudong, Shanghai 201203, China.

出版信息

Evid Based Complement Alternat Med. 2012;2012:626320. doi: 10.1155/2012/626320. Epub 2012 May 30.

Abstract

Traditional Chinese medicine (TCM) syndrome, also called ZHENG, is the basis concept of TCM theory. It plays an important role in TCM practice. There are excess and deficiency syndromes in TCM syndrome. They are the common syndromes in chronic hepatitis B (CHB) patients. Here we aim to explore serum protein profiles and potential biomarkers for classification of TCM syndromes in CHB patients. 24 healthy controls and two cohorts of CHB patients of excess syndrome (n = 25) or deficiency syndrome (n = 19) were involved in this study. Protein profiles were obtained by surface-enhanced laser desorption ionization time-flight mass spectrometry (SELDI-TOF/MS) and multiple analyses were performed. Based on SELDI ProteinChip data, healthy controls and CHB patients or excess and deficiency syndromes in CHB patients were obviously differentiated by orthogonal partial least square (OPLS) analysis. Two significant serum proteins (m/z 4187 and m/z 5032) for classifying excess and deficiency syndromes were found. Moreover, the area under the receiver operating characteristic (ROC) curve was 0.887 for classifying excess and nonexcess syndrome, and 0.700 for classifying deficiency and nondeficiency syndrome, respectively. Therefore, the present study provided the possibility of TCM syndrome classification in CHB patients using a universally acceptable scientific approach.

摘要

中医(TCM)证候,又称证,是中医理论的基础概念。它在中医实践中起着重要的作用。中医证候有虚实之分,是慢性乙型肝炎(CHB)患者的常见证候。本研究旨在探讨慢性乙型肝炎患者中医证候分类的血清蛋白谱及潜在生物标志物。本研究纳入 24 名健康对照者和 2 组中医证候为实证(n = 25)或虚证(n = 19)的 CHB 患者。采用表面增强激光解吸电离飞行时间质谱(SELDI-TOF/MS)获取蛋白谱,并进行多次分析。基于 SELDI ProteinChip 数据,正交偏最小二乘(OPLS)分析明显区分了健康对照组、CHB 患者以及 CHB 患者的实证和虚证。发现了两个用于分类实证和虚证的显著血清蛋白(m/z 4187 和 m/z 5032)。此外,用于分类实证和非实证的受试者工作特征(ROC)曲线下面积为 0.887,用于分类虚证和非虚证的曲线下面积为 0.700。因此,本研究为采用普遍接受的科学方法对 CHB 患者的中医证候分类提供了可能性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c4a8/3369440/932a3b657164/ECAM2012-626320.001.jpg

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