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- Title
Screening of Anti-inflammatory Active Ingredients from Gancao Qinlian Extract and Study of Its Efficacy.
- Authors
Maixun ZHU; Yang ZHANG; Yue XU; Hongmei TANG; Tao WU; Yanda ZHANG
- Abstract
[Objectives] To establish the chromatographic fingerprint of Gancao Qinlian Extracts (GQE) and reveal the possible material basis of the anti-inflammatory effect of GQE by the correlation analysis between the fingerprint chromatographic peaks of different components of GQE and its anti-inflammatory activity. [Methods] Dltra-performance liquid chromatography (UPLC) was used to detect the different ingredients of GQE to establish its chromatographic fingerprint and analyze the differences among the three medicine components; LPS stimulated RAW264.7 cells to construct an inflammatory cell model. The NO secretion of cells was detected by the Griess method. ELISA was used to detect the changes in TNF-a and IL-10 contents. RT-qPCR tested the mRNA expression levels of TNF-a and IL-10. Grey relational analysis was carried out by combining fingerprint chromatographic peak data and anti-inflammatory activity data. [Results] The GQE fingerprint was established, 34 fingerprint characteristic peaks were calibrated, and 33 related chromatographic peaks were screened out. The corresponding chromatographic peaks in the three components were obtained, and the content of the components was calculated; the anti-inflammatory results showed that the content of NO, TNF-a, and the expression of TNF-a mRNA in the high and medium-dose groups of GQE were significantly lower than those in the blank group (P GQE > GQE I, and the characteristic fingerprint peaks 12, 15, 22, 23, 28, 31, 33 may be closely related to the anti-inflammatory effect. [Conclusions] The best component of the anti-inflammatory' effect in GQE is water-soluble component, and its main components are flavonoids and alkaloids. These components can alleviate cellular inflammatory damage by inhibiting the excessive secretion of NO and reducing the expression of TNF-a mRNA.
- Subjects
GREY relational analysis; CHEMICAL fingerprinting; GENE expression; ANTI-inflammatory agents; LIQUID chromatography
- Publication
Medicinal Plant, 2024, Vol 15, Issue 4, p4
- ISSN
2152-3924
- Publication type
Academic Journal
- DOI
10.19600/j.cnki.issn2152-3924.2024.04.002