Comparative Evaluation of the Chemical Components and Anti-Inflammatory Potential of Yellow- and Blue-Flowered Meconopsis Species: M. integrifolia and M. betonicifolia.

Autor: Cheng, Peizhao, Gan, Ruixi, Wang, Cong, Xu, Qian, Norbu, Kelsang, Zhou, Feng, Kong, Sixin, Jia, Zhuoma, Jiabu, Dawa, Feng, Xin, Wang, Junsong
Předmět:
Zdroj: Metabolites (2218-1989); Oct2024, Vol. 14 Issue 10, p563, 20p
Abstrakt: Background/Objectives: Meconopsis has long been used in traditional Tibetan medicine to treat various inflammatory and pain-related conditions. However, blue-flowered Meconopsis (M. betonicifolia) is becoming increasingly scarce due to overharvesting. As a potential alternative, yellow-flowered Meconopsis (M. integrifolia) shows promise but requires comprehensive characterization. This study aimed to evaluate and compare the anti-inflammatory potential of yellow- and blue-flowered Meconopsis species. Methods: Liquid chromatography–mass spectrometry (LC-MS) techniques were used to analyze the chemical profiles of yellow- and blue-flowered Meconopsis. Putative targets of shared constituents were subjected to GO and disease enrichment analysis. The LPS-induced RAW264.7 macrophage model was employed to assess anti-inflammatory effects. Metabolomics was applied to gain mechanistic insights. Results: LC-MS revealed over 70% chemical similarity between species. Enrichment analysis associated targets with inflammation-related pathways. In macrophage assays, both species demonstrated dose-dependent antioxidative and anti-inflammatory activities, with yellow Meconopsis exhibiting superior efficacy. Metabolomics showed modulation of key inflammatory metabolic pathways. Conclusions: This integrative study validated yellow-flowered Meconopsis as a credible alternative to its blue-flowered counterpart for anti-inflammatory applications. Metabolic profiling provided initial clues regarding their multi-targeted modes of action, highlighting their potential for sustainable utilization and biodiversity conservation. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index