ABSTRACT
Objective: To screen out active ingredients, and predict the anti-cancer targets of Ligustri Lucidi Fructus-Astragali Radix based on the "herbs-active ingredient-action targets" network. Method: The traditional Chinese medicine (TCM) system pharmacology platform (TCMSP) was employed to screen out the active ingredients and putative targets of anti-cancer of glossy privet fruit and astragalus. DisGeNET database and Online Mendelian Inheritance in Man (OMIM database) were employed to predict the targets for treating cancer, and then "herbs-active ingredients-key targets" network was constructed by using Cytoscape software. The omicshare platform was employed to match the putative targets of ingredients and the targets for treating cancer. Finally, the protein interaction network of key targets was constructed by using String database, and the analysis of biological functions and pathways of them was carried out by using DAVID database. Result: Totally 33 drug active ingredients were screened out, involving a total of 203 targets, and 14 of them were related to cancer. These 14 key targets played an therapeutic role in treating cancer by regulating target proteins, such as ERBB2, AR, SRC, EGFR, ESR1, as well as proteoglycans in cancer, cancer pathways, microRNAs in cancer and other pathways. Conclusion: The therapeutic mechanism of Ligustri Lucidi Fructus-Astragali Radix reflects the multi-component, multi-target, and multi-pathway characteristics of TCMs, providing the scientific basis for further study and the material basis of Ligustri Lucidi Fructus-Astragali Radix against cancer.
ABSTRACT
Objective: To assess the diagnostic value of soluble suppression of tumorigenicity-2 (sST2) in heart failure (HF) by Meta-analysis. Methods: We searched the databases of CNKI, Wei Pu, CBMdisc,WanFang and Pubmed up to 2017-03-14 for diagnostic value of sST2 in HF patients. Corresponding references were enrolled and relevant data was extracted. Quality evaluation was conducted by quality assessment of diagnostic accuracy studies-2(QUADAS-2)method, effect of sST2 in HF diagnosis was analyzed by Stata14.0 and Revman software. Results: A total of 13 references were eligible including 5 English and 8 Chinese. Meta analysis showed that the diagnostic value of sST2 in HF had the pooled sensitivity at 79%, 95% CI (0.68-0.86);pooled specificity at 69%, 95% CI (0.58-0.79); positive like hood rate was 2.57, 95% CI(1.86-3.53), negative like hood rate was 0.31, 95%CI (0.21-0.46), diagnostic odds rate was 8.28, 95% CI (4.76-14.42); the area under ROC was 0.8. Deek's funnel plot demonstrated no publication bias in Meta-analysis. Conclusion: sST2 had moderate value in diagnosing HF; duo to the defect in methodology, large sample, scientific and reasonable random controlled trails should be conducted to confirm the diagnostic efficacy.