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Identifying the molecular basis of Jinhong tablets against chronic superficial gastritis via chemical profile identification and symptom-guided network pharmacology analysis
Shi, Danfeng1; Liu, Lingxian1; Li, Haibo2; Pan, Dabo1; Yao, Xiaojun3; Xiao, Wei2; Yao, Xinsheng1; Yu, Yang1
2022-02-01
Source PublicationJournal of Pharmaceutical Analysis
ISSN2095-1779
Volume12Issue:1Pages:65-76
Abstract

Chronic superficial gastritis (CSG) is a common disease of the digestive system that possesses a serious pathogenesis. Jinhong tablet (JHT), a traditional Chinese medicine (TCM) prescription, exerts therapeutic effects against CSG. However, the molecular basis of its therapeutic effect has not been clarified. Herein, we employed ultra-performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry (UPLC-Q/TOF-MS) based chemical profile identification to determine the chemical components in JHT. Further, we applied network pharmacology to illustrate its molecular mechanisms. A total of 96 chemical constituents were identified in JHT, 31 of which were confirmed using reference standards. Based on the bioinformatics analysis using the symptom-guided pharmacological networks of “chi,” “blood,” “pain,” and “inflammation,” and target screening through the interaction probabilities between compounds and targets, matrix metalloproteinase 2 (MMP2), dopamine d2 receptor (DRD2), and Aldo-keto reductase family 1 member B1 (AKR1B1) were identified as key targets in the therapeutic effect exhibited by JHT against CSG. Moreover, according to the inhibitory activities presented in the literature and binding mode analysis, the structural types of alkaloids, flavonoids, organic acids, including chlorogenic acid (10), caffeic acid (13), (−)-corydalmine (33), (−)-isocorypalmine (36), isochlorogenic acid C (38), isochlorogenic acid A (41), quercetin-3-O-α-L-rhamnoside (42), isochlorogenic acid B (47), quercetin (63), and kaempferol (70) tended to show remarkable activities against CSG. Owing to the above findings, we systematically identified the chemical components of JHT and revealed its molecular mechanisms based on the symptoms associated with CSG.

KeywordChronic Superficial Gastritis Jinhong Tablets Molecular Docking Symptom-guided Network Pharmacology Uplc-q/tof-ms
DOI10.1016/j.jpha.2021.01.005
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaPharmacology & Pharmacy
WOS SubjectPharmacology & Pharmacy
WOS IDWOS:000782638800006
PublisherELSEVIER, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
Scopus ID2-s2.0-85108594267
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorXiao, Wei; Yao, Xinsheng; Yu, Yang
Affiliation1.Institute of Traditional Chinese Medicine & Natural Products, College of Pharmacy and Guangdong Province Key Laboratory of Pharmacodynamic Constituents of TCM and New Drug Research, Jinan University, Guangzhou, 510632, China
2.Kanion Pharmaceutical Co., Ltd., State Key Laboratory of New-tech for Chinese Medicine Pharmaceutical Process, Lianyungang, Jiangsu, 222001, China
3.State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Taipa, Macau, China
Recommended Citation
GB/T 7714
Shi, Danfeng,Liu, Lingxian,Li, Haibo,et al. Identifying the molecular basis of Jinhong tablets against chronic superficial gastritis via chemical profile identification and symptom-guided network pharmacology analysis[J]. Journal of Pharmaceutical Analysis, 2022, 12(1), 65-76.
APA Shi, Danfeng., Liu, Lingxian., Li, Haibo., Pan, Dabo., Yao, Xiaojun., Xiao, Wei., Yao, Xinsheng., & Yu, Yang (2022). Identifying the molecular basis of Jinhong tablets against chronic superficial gastritis via chemical profile identification and symptom-guided network pharmacology analysis. Journal of Pharmaceutical Analysis, 12(1), 65-76.
MLA Shi, Danfeng,et al."Identifying the molecular basis of Jinhong tablets against chronic superficial gastritis via chemical profile identification and symptom-guided network pharmacology analysis".Journal of Pharmaceutical Analysis 12.1(2022):65-76.
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