Literature DB >> 17489876

Analysis of pharmacological effect and molecular mechanisms of a traditional herbal medicine by global gene expression analysis: an exploratory study.

T Hayasaki1, M Sakurai, T Hayashi, K Murakami, T Hanawa.   

Abstract

BACKGROUND AND OBJECTIVES: Although traditional herbal medicines have been used for more than 2000 years, there are few studies on their molecular mechanisms of action. We examined the pharmacological effect and mechanism of action of a traditional herbal medicine (Kososan) with global gene expression analysis using a DNA chip.
METHODS: Fourteen healthy subjects were given the herbal medicine (Kososan) for 2 weeks and interviewed. Peripheral blood was collected before and after 2-week medication. Based on the outcomes of the interview, the subjects were divided into responders and non-responders. We analysed the blood samples from responder and non-responder groups, respectively, using a DNA chip.
RESULTS: In the Kososan responder group, 70 genes were over-expressed (2-fold or more), and their over-expression was normalized by Kososan (0.5-fold or less), whereas 24 genes were under-expressed (0.5-fold or less), and the under-expression was normalized by Kososan (2-fold or more).
CONCLUSION: This exploratory study suggests that gene expression profiling is a possible approach for studying the effects of complex herbal remedies. Some of the genes studied seem to have functions related to the pharmacological effects of Kososan, which have been known for a long time.

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Year:  2007        PMID: 17489876     DOI: 10.1111/j.1365-2710.2007.00818.x

Source DB:  PubMed          Journal:  J Clin Pharm Ther        ISSN: 0269-4727            Impact factor:   2.512


  2 in total

Review 1.  DNA Microarray-Based Screening and  Characterization of Traditional Chinese Medicine.

Authors:  Ryoiti Kiyama
Journal:  Microarrays (Basel)       Date:  2017-01-30

2.  Dietary intake of Curcuma longa and Emblica officinalis increases life span in Drosophila melanogaster.

Authors:  Shilpa Rawal; Pavneet Singh; Ayush Gupta; Sujata Mohanty
Journal:  Biomed Res Int       Date:  2014-05-22       Impact factor: 3.411

  2 in total

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