کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
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1970102 | 1059792 | 2007 | 9 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Identification of a predictive biomarker for the beneficial effect of a Kampo (Japanese traditional) medicine keishibukuryogan in rheumatoid arthritis patients Identification of a predictive biomarker for the beneficial effect of a Kampo (Japanese traditional) medicine keishibukuryogan in rheumatoid arthritis patients](/preview/png/1970102.png)
Objectives:Kampo (Japanese traditional herbal) medicines are now ethically used in Japan as pharmaceutical grade prescription drugs. However, there are distinct groups of responders and non-responders to Kampo medicines. We searched for biomarker candidates to discriminate responders from non-responders to keishibukuryogan (KBG); one of the most frequently used Kampo medicines.Design and methods:A combination of SELDI technology and a decision tree analysis with proprietary developed bioinformatics tools was applied to 41 (32 for tree construction and 9 for validation test) plasma samples obtained from rheumatoid arthritis (RA) patients. A candidate biomarker protein was identified using LC–MS/MS.Results:The constructed tree with measurable reliability contained only a single peak which was identified as haptoglobin alpha 1 chain (Hpα1).Conclusion:Hpα1 is a biomarker candidate for discriminating responders from non-responders to KBG treatment for RA. The present results may open the way to the establishment of “evidence-based” complementary and alternative medicine.
Journal: Clinical Biochemistry - Volume 40, Issue 15, October 2007, Pages 1113–1121