Literature DB >> 32661907

The Pharmacokinetics and Tissue Distributions of Nine Steroidal Saponins from Paris polyphylla in Rats.

Wei Lu1,2,3, Meng Pan4, Penghua Zhang1, Tao Zheng1, Liangyong Huang1, Fang Ye1, Pan Lei5,6,7.   

Abstract

BACKGROUND AND OBJECTIVES: Paris polyphylla (P. polyphylla) is a herb widely used in traditional Chinese medicine to treat various diseases. This study used ultrahigh-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) to study the pharmacokinetics and tissue distributions of nine steroidal saponins from P. polyphylla.
METHODS: P. polyphylla extract was administered to rats intravenously (i.v.) and orally (p.o.). The concentrations of the nine main bioactive components of the extract were determined in plasma and tissue samples using UPLC-MS/MS. The nine saponin compounds were also incubated in an anaerobic environment with intestinal flora suspension solution to investigate hydrolysis by intestinal flora.
RESULTS: After oral administration of the P. polyphylla extract, polyphyllin VII was found to have the highest maximum concentration (Cmax, 17.0 ± 2.24 µg/L) of all nine components, followed by the Cmax values of dioscin (16.17 ± 0.64 µg/L) and polyphyllin H (11.75 ± 1.28 µg/L), while the Cmax values of polyphyllin I, polyphyllin II, progenin III, polyphyllin IV, gracillin, and polyphyllin were less than 10 µg/L. The bioavailabilities of all nine components were less than 1%. All the compounds were hydrolyzed by intestinal flora and were predominantly distributed in the liver and lungs.
CONCLUSIONS: The nine compounds presented different pharmacokinetic parameter values, and multiple administrations did not accumulate in the body. The bioavailabilities of the compounds were low, partly because of hydrolysis by intestinal flora. The nine compounds were mainly distributed in the liver and lungs, which may be target organs.

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Year:  2020        PMID: 32661907     DOI: 10.1007/s13318-020-00633-5

Source DB:  PubMed          Journal:  Eur J Drug Metab Pharmacokinet        ISSN: 0378-7966            Impact factor:   2.441


  2 in total

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Journal:  Evid Based Complement Alternat Med       Date:  2022-03-15       Impact factor: 2.629

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Authors:  Xiaoya Zhang; Junli Wu; Long Qin; Guangxi Wang; Ping Li; Anmin Yu; Aizhong Liu; Rui Sun
Journal:  Molecules       Date:  2022-10-06       Impact factor: 4.927

  2 in total

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