2023
DOI: 10.1016/j.jep.2022.115943
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Integration of pharmacodynamics, network pharmacology and metabolomics to elucidate effect and mechanism of Artemisia capillaris Thunb. in the treatment of jaundice

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Cited by 6 publications
(4 citation statements)
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“…Data were imported into SIMCA P14.1 and scaled using Pareto scaling for multivariate statistical analysis, including principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA). Scatter points in the OPLS-DA S-plot and variables with VIP > 1 were identified as potential biomarkers for further analysis [ 21 ]. T-tests were performed to determine if there were significant differences in the relative peak areas of biomarkers between groups, selecting metabolites with statistical significance ( P < 0.05).…”
Section: Methodsmentioning
confidence: 99%
“…Data were imported into SIMCA P14.1 and scaled using Pareto scaling for multivariate statistical analysis, including principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA). Scatter points in the OPLS-DA S-plot and variables with VIP > 1 were identified as potential biomarkers for further analysis [ 21 ]. T-tests were performed to determine if there were significant differences in the relative peak areas of biomarkers between groups, selecting metabolites with statistical significance ( P < 0.05).…”
Section: Methodsmentioning
confidence: 99%
“…Furthermore, AC is also a folk delicious wild vegetable eaten for thousands of years and is the key ingredient of the traditional snack “Qingming ba” in China. As one of the most commonly used herbs, AC has shown good results in the treatment of jaundice and liver diseases ( Yang et al, 2023 ). However, research on AC has mainly focused on its efficacy and biological activity in medicine, while research on its nutritional role as food, especially on its protein is still scarce and remains a mystery.…”
Section: Introductionmentioning
confidence: 99%
“…Traditional network analysis is typically used to predict potential targets and molecular mechanisms of TCM in disease treatment, using data mining and scientific computing techniques based on public databases ( Yang et al, 2023 ). Network analysis can reveal the patterns and rules that govern the associations between drugs and diseases, enabling efficient screening of potential drug targets and pathways with therapeutic effects.…”
Section: Introductionmentioning
confidence: 99%
“…Integrated of network analysis and metabolomics has unique advantages in the study of TCM formulas, as it can reveal the intricate mechanisms of action within the body from multiple perspectives, including metabolites of botanical drug, targets, pathways, and metabolites in vivo ( Zhao Q. et al, 2022 ). Network analysis and metabolomics have successfully been applied to uncover the mechanisms of several TCM formulas in liver disease treatment ( Yu et al, 2019 ; Wang et al, 2022 ; Yang et al, 2023 ).…”
Section: Introductionmentioning
confidence: 99%