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1.
China Pharmacy ; (12): 927-932, 2021.
Article in Chinese | WPRIM | ID: wpr-876261

ABSTRACT

OBJECTIVE:To screen the main effective components of Compound Agrimonia pilosula enteritis capsules and targets of enteritis. METHODS :UHPLC-MS/MS,MWDB database and relevant literature analysis were used to identify main chemical components in methanol extract of Compound A. pilosula enteritis capsules. TCMSP ,PubChem and UniProt database were adopted to predict and screen the active ingredients and their potential targets. GeneCards and OMIM database were used to predict and screen enteritis related targets ;common targets were screened by R language 4.0.2. The chemical components corresponding to the common targets were matched with the chemical components in the methanol extract of the preparation to obtain the main effective components of the preparation. With the help of STRING database and Cytoscape 3.7.1 software,the protein-protein interaction network was constructed ,and the key targets of the preparation were screened by degree. RESULTS : A total of 48 compounds were identified ,including 13 phenolic acids ,10 alkaloids,8 flavonoids,6 terpenoids,6 other compounds,3 lipids,1 tannin and 1 organic acid. Compared with the network pharmacology data ,apigenin,luteolin,quercetin (3,7-di-O-methylquercetin,Quercetin-3-O-β-D-galactoside,Quercetin-7-O-glucoside,Quercetin-3-O-β-D-glucoside),palmatine, protocatechuic acid- 4-glucoside and 3,4-dimethoxycinnamic acid were the main effective components. The key targets for the treatment of enteritis included RELA ,APP,CCND1,EGFR,INS,ESR1,IL6,NCOA1,CASP8,FOS. CONCLUSIONS :A total of 9 main effective components (including apigenin ,luteolin,quercetin,etc.)and 10 key targets for enteritis (including RELA,APP,CCND1,etc.)of Compound A. pilosula enteritis capsules are found.

2.
Journal of Jilin University(Medicine Edition) ; (6): 295-300, 2016.
Article in Chinese | WPRIM | ID: wpr-484492

ABSTRACT

Objective:To evaluate the diagnostic values of single and combined detection of serum CA199, complement 3 (C3),complement 4 (C4),total cholesterol (TC),triglyceride (TG),and lipid metabolism levels in the patients with pancreatic cancer, and to explore their correlations with TNM stage and pathological stage of pancreatic cancer.Methods:Total 185 subjects were enrolled into the study by three groups:pancreatic cancer patients group (Pc group,n=77),non-digestive system cancer patients group (Ndc group,n=58)and healthy control group (Hc group,n=50).The levels of serum CA199,C3,C4,and high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C), apolipoprotein A (ApoA), apolipoprotein B (ApoB), apolipoprotein E (ApoE),and lipoprotein a (Lpa)levels were detected.Results:① The serum level of CA199, C3,C4,and ApoE of the patients in Pc group were higher than those in Ndc and Hc groups (P0.05).The levels of C3, C4,and ApoE in Pc group and Ndc group was higher than those in Hc group (P<0.01),and the levels of the biomarkers in Pc group were also higher than those in Ndc group (P<0.01).The levels of HDL-C,ApoA and Lp (a)of the patients in Pc group were significantly lower than those in Ndc and Hc groups (P<0.05).② The area under ROC curve (AUC)of serum CA199,C3,C4,ApoE,HDL-C,and ApoA were 0.916,0.841, 0.788,0.785,0.834,and 0.810,respectively.Furthermore,multiple factor analysis showed that the combined detection of CA199,C3,and HDL-C (AUC=0.968)improved the diagnosis compared with detecting CA199 alone (P<0.05).③ The CA199 level of the patients inⅢ-Ⅳ stage of TNM stage was higher than that in the patients inⅠ-Ⅱ stage (P<0.01).For the pathological stage,the ApoA level in low differentiation group was higher than that in moderate and high differentiation group (P<0.05).There was no statistical difference in other biomarkers between the different TNM stages and pathological stages.Conclusion:The levels of CA199,C3,C4 and ApoE of pancreatic cancer patients are significantly increased, while the levels of HDL-C, ApoA, and Lp (a ) are significantly reduced.Combined detection of CA199,C3,and HDL-C can improve the early diagnosis of pancreatic cancer compared with the single assessment of each biomarker.

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