Literature DB >> 19898805

Orthogonal array design for antidepressant compatibility of polysaccharides from Banxia-Houpu decoction, a traditional Chinese herb prescription in the mouse models of depression.

Li-Tao Yi1, Li Zhang, An-Wei Ding, Qun Xu, Qin Zhu, Ling-Dong Kong.   

Abstract

The present study investigated antidepressant-like interaction of five herb polysaccharide fractions from Banxia-Houpu decoction, composed of rhizome pinelliae (PRP), magnolia bark (PMB), poria (PPO), ginger rhizome (PGR) and folium perillae (PFP) by a L(16)(2(5)) orthogonal array design with a two-factor interaction in the tail suspension and forced swimming and tests (TST, FST) in mice. Serotonin (5-HT) and dopamine (DA) levels in whole mouse brain were simultaneously examined after the FST exposure. Polysaccharides PMB, PPO, PFP, and interactions of PRP x PGR, PMB x PFP, PPO x PFP reduced immobility in the mouse FST. Furthermore, PMB and PPO were two principal components of polysaccharides elevating brain 5-HT levels. PFP was an adjuvant component elevating brain DA levels. These results demonstrated that ineffective PRP exhibited antidepressant-like effects when combined with another ineffective PGR, and PFP played a role in assisting effects of PMB and PPO. Therefore, PMB x PFP and PPO x PFP interactions on antidepressant-like effects were the cores in compatibility of polysaccharides from Banxia-Houpu decoction by attenuating abnormalities in the serotonergic and dopaminergic system functions in animal models of depression.

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Year:  2009        PMID: 19898805     DOI: 10.1007/s12272-009-2011-6

Source DB:  PubMed          Journal:  Arch Pharm Res        ISSN: 0253-6269            Impact factor:   4.946


  9 in total

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Review 5.  Nine traditional Chinese herbal formulas for the treatment of depression: an ethnopharmacology, phytochemistry, and pharmacology review.

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9.  Identification of the significant pathways of Banxia Houpu decoction in the treatment of depression based on network pharmacology.

Authors:  Zi-Ying Chen; Dan-Feng Xie; Zhi-Yuan Liu; Yong-Qi Zhong; Jing-Yan Zeng; Zheng Chen; Xin-Lin Chen
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  9 in total

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