Dataset Information

Characterization of Constituents with Potential Anti-Inflammatory Activity in Chinese Lonicera Species by UHPLC-HRMS Based Metabolite Profiling

ABSTRACT: This study centered on detecting potentially anti-inflammatory active constituents in ethanolic extracts of Chinese Lonicera species by taking an UHPLC-HRMS-based metabolite profiling approach. Extracts from eight different Lonicera species were subjected to both UHPLC-HRMS analysis and to pharmacological testing in three different cellular inflammation-related assays. Compounds exhibiting high correlations in orthogonal projections to latent structures discriminant analysis (OPLS-DA) of pharmacological and MS data served as potentially activity-related candidates. Of these candidates, 65 were tentatively or unambiguously annotated. 7-Hydroxy-5,3',4',5'-tetramethoxyflavone and three bioflavonoids, as well as three C₃₂- and one C₃₄-acetylated polyhydroxy fatty acid, were isolated from Lonicera hypoglauca leaves for the first time, and their structures were fully or partially elucidated. Of the potentially active candidate compounds, 15 were subsequently subjected to pharmacological testing. Their activities could be experimentally verified in part, emphasizing the relevance of Lonicera species as a source of anti-inflammatory active constituents. However, some compounds also impaired the cell viability. Overall, the approach was found useful to narrow down the number of potentially bioactive constituents in the complex extracts investigated. In the future, the application of more refined concepts, such as extract prefractionation combined with bio-chemometrics, may help to further enhance the reliability of candidate selection.

INSTRUMENT(S): Liquid Chromatography MS - negative - reverse phase

SUBMITTER: Eva-Maria Pferschy-Wenzig

PROVIDER: MTBLS3112 | MetaboLights | 2022-11-17

REPOSITORIES: MetaboLights

ACCESS DATA

Dataset's files

Source:

Items per page:

1 - 5 of 7

Publications

Characterization of Constituents with Potential Anti-Inflammatory Activity in Chinese Lonicera Species by UHPLC-HRMS Based Metabolite Profiling.

Pferschy-Wenzig Eva-Maria EM Ortmann Sabine S Atanasov Atanas G AG Hellauer Klara K Hartler Jürgen J Kunert Olaf O Gold-Binder Markus M Ladurner Angela A Heiß Elke H EH Latkolik Simone S Zhao Yi-Min YM Raab Pia P Monschein Marlene M Trummer Nina N Samuel Bola B Crockett Sara S Miao Jian-Hua JH Thallinger Gerhard G GG Bochkov Valery V Dirsch Verena M VM Bauer Rudolf R

Metabolites 20220325 4

This study centered on detecting potentially anti-inflammatory active constituents in ethanolic extracts of Chinese Lonicera species by taking an UHPLC-HRMS-based metabolite profiling approach. Extracts from eight different Lonicera species were subjected to both UHPLC-HRMS analysis and to pharmacological testing in three different cellular inflammation-related assays. Compounds exhibiting high correlations in orthogonal projections to latent structures discriminant analysis (OPLS-DA) of pharmac ...[more]

PMID: 35448474

Similar Datasets

Project description:Wang Bi Tablet (WBT) exhibits effective power in clinic during the treatment of rheumatoid arthritis (RA) in China. We aimed to employ the “integrative pharmacology strategy”, including rapid analysis of chemical composition, pharmacological experiment, and network pharmacology analysis, to delineate the main active components and reveal the underlying mechanism of WBT acting on RA. UPLC-QTOF-MS/MS provided the chemical fingerprint of WBT and UNIFI 1.8 software assisted in chemical composition identification by matching the MSE raw data to the in-house library. The anti-inflammatory effect of WBT was evaluated in TNF-α- stimulated RAW264.7 cells by ELISA and transcriptome sequencing. Network pharmacology analysis was carried out based on Integrative Pharmacology-based Network Computational Research Platform of Traditional Chinese Medicine (TCMIP V2.0, http://www.tcmip.cn/). Functional enrichment and network visualization was performed by DAVID v6.8 and NaviGator v3.0 respectively. Altogether, 293 chemical constituents were preliminarily identified or tentatively characterized in the extract of WBT, and it could effectively against inflammatory response in TNF-α-stimulated RAW264.7 cells. One hundred and thirty-five hub genes were delineated based on the network construction of “Anti-inflammatory Core Genes-Putative Targets-RA genes”, which were mainly involved in inflammation-immune regulation, closely relating to the occurrence and development of RA, such as Cytokine-cytokine receptor interaction, Chemokine signaling pathway, etc., Forty-eight key active constituents were selected according to the frequency binding to hub targets and contents in WBT, corresponding to 13 herbal medicines. In summary, it is the first time to explore the active constituents and underlying mechanism of WBT acting on RA using integrative pharmacology strategy, which may provide an efficient way for the analysis of chemical constituents and exploration of pharmacological mechanism of TCM.

			Action	DRS
	MTBLS3112	Other
	FILES	Other
	a_MTBLS3112_LC-MS_negative_reverse-phase_metabolite_profiling.txt	Txt
	files-all.json	Other
	i_Investigation.txt	Txt