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[Establishment of PK-PD model in anti-inflammatory active components in Inula cappa extract based on lipopolysaccharide-induced in vitro inflammation model]. | LitMetric

[Establishment of PK-PD model in anti-inflammatory active components in Inula cappa extract based on lipopolysaccharide-induced in vitro inflammation model].

Zhongguo Zhong Yao Za Zhi

Provincial Key Laboratory of Pharmaceutics in Guizhou Province, State Key Laboratory of Functions and Applications of Medicinal Plants, Engineering Research Center for the Development and Application of Ethnic Medicine and Traditional Chinese Medicine(Ministry of Education), School of Pharmacy, Guizhou Medical University Guiyang 550004, China.

Published: December 2022

AI Article Synopsis

  • A pharmacokinetics-pharmacodynamics model was developed to analyze the effect of anti-inflammatory components from Inula cappa extract on inflammation using an LPS-induced in vitro model.
  • The study compared how the five key anti-inflammatory components (luteolin, chlorogenic acid, cryptochlorogenic acid, 3,4-dicaffeoylquinic acid, and 4,5-dicaffeoylquinic acid) behaved in normal versus inflammatory cells over time, focusing on their uptake and absorption rates.
  • Results indicated that inflammation alters the way cells absorb these components and the components' effectiveness is linked to reducing the production of inflammatory markers NO and TNF-α.

Article Abstract

In the present study, a pharmacokinetics(PK)-pharmacodynamics(PD) model in the anti-inflammatory active components in Inula cappa extract was established based on the lipopolysaccharide(LPS)-induced in vitro inflammation model in order to clarify the relationship between the dynamic changes of anti-inflammatory active components in inflammatory cells and their efficacy. Firstly, the inflammation model in vitro was induced by 1 μg·mL~(-1) LPS in RAW264.7 cells for 24 h. After treatment with 400 μg·mL~(-1) I. cappa extract, the pharmacokinetics(PK) of five anti-inflammatory active components, including luteolin(LUT), chlorogenic acid(CA), cryptochlorogenic acid(CCA), 3,4-dicaffeoylquinic acid(3,4-DCQA), and 4,5-dicaffeoylquinic acid(4,5-DCQA), in normal cells and inflammatory cells was compared. Meanwhile, the PD study was carried out by measuring the inflammatory factors NO and TNF-α in the cell supernatant at each time point, which was fitted with PK by the Phoenix Model in the WinNonlin 8.2 to establish the PK-PD model for five components including LUT, CA, CCA, 3,4-DCQA, and 4,5-DCQA. The results showed that compared with normal cells, the model cells showed increased or decreased uptake of five components, advanced T_(max), faster absorption, prolonged MRT and t_(1/2), and increasing or decreasing trend of CL_(z/F) and V_(z/F). When NO was used as the efficacy index, the PK-PD model after the integration of the multi-effect components in I. cappa was E=7.45×\[1-Ce~(5.74)/(78.24~(5.74)+Ce~(5.74))\], while with TNF-α as the efficacy index, the PK-PD model after the integration of the multi-effect components in I. cappa was E=79.28×[1-Ce~(6.45)/(85.10~(6.45)+Ce~(6.45))]. The results of the study suggested that the inflammatory state could change the cellular PK of I. cappa. The anti-inflammatory effect of active components in I. cappa might be related to the down-regulation of the secretion of NO and TNF-α in inflammatory cells, and NO and TNF-α might serve as the anti-inflammatory targets of active components of I. cappa.

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http://dx.doi.org/10.19540/j.cnki.cjcmm.20220914.201DOI Listing

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