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 in | Journal of chromatography. B, Analytical technologies in the biomedical and life sciences Vol. 877; no. 27; pp. 3019 - 3024 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Amsterdam
Elsevier B.V
01.10.2009
Elsevier |
Subjects | |
Online Access | Get full text |
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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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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
ISSN: | 1570-0232 1873-376X |
DOI: | 10.1016/j.jchromb.2009.07.022 |