2019
DOI: 10.1186/s13020-019-0251-z
|View full text |Cite
|
Sign up to set email alerts
|

Metabolomics combined with network pharmacology exploration reveals the modulatory properties of Astragali Radix extract in the treatment of liver fibrosis

Abstract: Background: Astragali Radix (AR) is widely-used for improving liver fibrosis, but, the mechanism of action has not been systematically explained. This study aims to investigate the mechanism of AR intervention in liver fibrosis based on comprehensive metabolomics combined with network pharmacology approach. Materials and methods: UPLC-Q-TOF/MS based metabolomics technique was used to explore the specific metabolites and possible pathways of AR affecting the pathological process of liver fibrosis. Network pharm… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
24
0

Year Published

2020
2020
2022
2022

Publication Types

Select...
6
3

Relationship

1
8

Authors

Journals

citations
Cited by 35 publications
(25 citation statements)
references
References 51 publications
(60 reference statements)
1
24
0
Order By: Relevance
“…The data ltering and normalization were accomplished by the MetaboAnalyst 4.0 online software (http://www.metaboanalyst.ca), and then introduce the resultant data matrix into SIMCA-P software (version 14.1; Umetrics, Umea, Sweden) for multivariate analysis including principal component analysis (PCA) and orthogonal projection to latent structures discriminate analysis (OPLS-DA). The differential metabolites satisfying the conditions (VIP > 1 and |P(corr)| ≥ 0.58) in the OPLS-DA analysis were selected as potential biomarkers [13] .…”
Section: Data Processing and Multivariate Analysismentioning
confidence: 99%
“…The data ltering and normalization were accomplished by the MetaboAnalyst 4.0 online software (http://www.metaboanalyst.ca), and then introduce the resultant data matrix into SIMCA-P software (version 14.1; Umetrics, Umea, Sweden) for multivariate analysis including principal component analysis (PCA) and orthogonal projection to latent structures discriminate analysis (OPLS-DA). The differential metabolites satisfying the conditions (VIP > 1 and |P(corr)| ≥ 0.58) in the OPLS-DA analysis were selected as potential biomarkers [13] .…”
Section: Data Processing and Multivariate Analysismentioning
confidence: 99%
“…Then, 3,3′-diaminobenzidine (DAB) chromogen substrate solution was utilized to visualize the results. 30) UPLC/Q-TOF-MS Analysis Conditions Chromatographic Conditions HPLC-Q-TOF-MS system was used for serum metabolic spectrum analysis. One microliter aliquot of each sample was injected into the system on a HSS T3 column analytical column (2.1 × 100 mm, 1.8 µm, waters) for sample separation at 45°C.…”
Section: Ultra-performance (Up) Lc/quadrupole Time-of-flight (Q-tof)-mentioning
confidence: 99%
“…Samples Quality Control Assessment QC can determine whether the systematic error of the whole experiment is within the controllable range. 31) In this study, QC samples and experimental samples were analyzed using unsupervised PCA. PCA scores of ESI positive ion mode, negative ion mode and HILIC mode are shown (Figs.…”
Section: Levels Of Serum Parameters and Histopathology Testmentioning
confidence: 99%
“…Network pharmacology is an emerging discipline that builds and analyzes biological networks based on systems biology to reveal the role of drugs and their mechanisms [13,14]. By constructing a "componenttarget-pathway" research network, we can observe how drugs act on multiple targets at the same time, thereby regulating multiple signal pathways, comprehensively reveal their drug e cacy network, and explain their mechanism of action [15].…”
Section: Introductionmentioning
confidence: 99%