Screening anti-inflammatory components from Chinese traditional medicines using a peritoneal macrophage/cell membrane chromatography-offline-GC/MS method

We report the development of an analytical method combining cell membrane chromatography (CMC) with gas chromatography/mass spectrometry (GC/MS). This was applied to the purification and identification of anti-inflammatory components from traditional Chinese medicines. The stationary phase of the CM...

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Published inJournal of chromatography. B, Analytical technologies in the biomedical and life sciences Vol. 877; no. 27; pp. 3019 - 3024
Main Authors Wang, Changhe, He, Langchong, Wang, Nan, Liu, Fang
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier B.V 01.10.2009
Elsevier
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Summary:We report the development of an analytical method combining cell membrane chromatography (CMC) with gas chromatography/mass spectrometry (GC/MS). This was applied to the purification and identification of anti-inflammatory components from traditional Chinese medicines. The stationary phase of the CMC employed mouse peritoneal macrophage (PM) cell membranes. We investigated the performance of the PM/CMC-offline-GC/MS method using hydrocortisone (HC) and dexamethasone (DM) as standards. The method was then applied to the identification of anti-inflammatory components in extracts of Rhizoma Atractylodes macrocephala (RAM) and Rhizoma Atractylodes lancea Thunb DC (RALD). The major components from both species retained by CMC were identified as atractylenolide I (AO-I) by GC/MS. Competition experiments’ results showed that AO-I and lipopolysaccharide (LPS) bound competitively to cell surface receptors while AO-I and HC had only partly overlapping binding sites on the PM membrane. In vitro experiments revealed that AO-I was able to inhibit LPS-induction of TNF-α, IL-1β and NO production in a dose-dependent manner. IC50 values were 5.3 μg/mL, 5.1 μg/mL and 7.5 μg/mL, respectively. The PM/CMC-offline-GC/MS method is an effective screening system for the rapid detection, enrichment, and identification of target components from complex samples.
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ISSN:1570-0232
1873-376X
DOI:10.1016/j.jchromb.2009.07.022