A Proteomic Approach for the Diagnosis of 'Oketsu' (blood stasis), a Pathophysiologic Concept of Japanese Traditional (Kampo) Medicine.

A Proteomic Approach for the Diagnosis of 'Oketsu' (blood stasis), a Pathophysiologic Concept of Japanese Traditional (Kampo) Medicine.
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DOI:
10.1093/ecam/nem049
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发表时间:
2008-12
影响因子:
--
通讯作者:
Saiki, Ikuo
Saiki, Ikuo
中科院分区:
医学4区
文献类型:
--
作者:
Matsumoto, Chinami;Kojima, Tetsuko;Ogawa, Kazuo;Kamegai, Satoshi;Oyama, Takuya;Shibagaki, Yukari;Kawasaki, Tetsuo;Fujinaga, Hiroshi;Takahashi, Kozo;Hikiami, Hiroaki;Goto, Hirozo;Kiga, Chizuru;Koizumi, Keiichi;Sakurai, Hiroaki;Muramoto, Hiroshi;Shimada, Yutaka;Yamamoto, Masahiro;Terasawa, Katsutoshi;Takeda, Shuichi;Saiki, Ikuo

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“ Oketsu”是日本传统(Kampo)药物的一种病理生理概念,主要表示血液停滞不前的综合征。 Keishibukuryogan(KBG),一种用于改善“ Oketsu”的坎波医学。 19)或“非Oketsu”(n = 29)根据Terasawa的“ Oketsu”评分系统,是通过表面增强激光解吸/电离飞行时间质谱法(SELDI-TOF-TOF)和等级的蛋白质谱。进行聚类和决策树分析4或12周,“ Oketsu”分数显着降低。 “ Oketsu”和“非oketsu”状态之间的差异很大。集群I。其余的“ Oketsu”概况构成了集群II的次要组成部分,并且均来自12周的“ Oketsu”状态的患者。为“ OKETSU”开发诊断算法的可能性。 Oketsu在血液蛋白的特征方面具有物理基础。基于生物信息学的分类方法。
‘Oketsu’ is a pathophysiologic concept in Japanese traditional (Kampo) medicine, primarily denoting blood stasis/stagnant syndrome. Here we have explored plasma protein biomarkers and/or diagnostic algorithms for ‘Oketsu’. Sixteen rheumatoid arthritis (RA) patients were treated with keishibukuryogan (KBG), a representative Kampo medicine for improving ‘Oketsu’. Plasma samples were diagnosed as either having an ‘Oketsu’ (n = 19) or ‘non-Oketsu’ (n = 29) state according to Terasawa's ‘Oketsu’ scoring system. Protein profiles were obtained by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS) and hierarchical clustering and decision tree analyses were performed. KBG treatment for 4 or 12 weeks decreased the ‘Oketsu’ scores significantly. SELDI protein profiles gave 266 protein peaks, whose expression was significantly different between the ‘Oketsu’ and ‘non-Oketsu’ states. Hierarchical clustering gave three major clusters (I, II, III). The majority (68.4%) of ‘Oketsu’ samples were clustered into one cluster as the principal component of cluster I. The remaining ‘Oketsu’ profiles constituted a minor component of cluster II and were all derived from patients cured of the ‘Oketsu’ state at 12 weeks. Construction of the decision tree addressed the possibility of developing a diagnostic algorithm for ‘Oketsu’. A reduction in measurement/pre-processing conditions (from 55 to 16) gave a similar outcome in the clustering and decision tree analyses. The present study suggests that the pathophysiologic concept of Kampo medicine ‘Oketsu’ has a physical basis in terms of the profile of blood proteins. It may be possible to establish a set of objective criteria for diagnosing ‘Oketsu’ using a combination of proteomic and bioinformatics-based classification methods.
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