Objective To observe the clinical efficacy of Huxinkang Pills in treating patients with unstable angina pectoris (UAP) and its effects on the tumor necrosis factor-α (TNF-α) and N-terminal pro-brain natriuretic peptide (NT-proBNP). Methods Sixty patients with UAP were randomly divided into the treatment group and the control group, 30 cases in each group. Patients in the treatment group were treated with Huxinkang Pills based on the basic western medicine, while the patients in the control group were treated with Tongxinluo Capsules based on the basic western medicine. The treatment course was 4 weeks. Clinical efficacy and the change of the TNF-α and NT-proBNP levels before and after treatment were observed. Results The general efficacy, electrocardiograph efficacy, angina pectoris efficacy, TCM syndrome efficacy and glonoine reduction of the two groups had statistically difference (P<0.05) respectively, and the efficacy of the treatment group was superior to that of the control group (P<0.05). The TNF-α and NT-proBNP levels in both groups before and after treatment had statistically difference (P<0.05) respectively. The differences in TNF-α and NT-proBNP levels between both groups after treatment were all statistically significant (P<0.05), and these indexes of treatment group were superior to those of the control group (P<0.05). Conclusion Huxinkang Pills are remarkable in treating patients with UAP, and able to restrain the levels of TNF-α and NT-proBNP.

Half of the heart failure patients are the diastolic heart failure (DHF) patients, and the occurrence of DHF increases as the patients’ age increases, which has seriously affected the quality of life of the elderly. However, there is presently no valid medication of DHF, thus the treatment of DHF is one of the hotspot of the medicine research. This article reviewsed the TCM in the cognition and treatment of DHF these years, in order to provide references for TCM in treating DHF.

The aim of this study was to identify novel prognostic mRNA and microRNA (miRNA) biomarkers for hepatocellular carcinoma (HCC) using methods in systems biology. Differentially expressed mRNAs, miRNAs, and long non-coding RNAs (lncRNAs) were compared between HCC tumor tissues and normal liver tissues in The Cancer Genome Atlas (TCGA) database. Subsequently, a prognosis-associated mRNA co-expression network, an mRNA–miRNA reg-ulatory network, and an mRNA–miRNA–lncRNA regulatory network were constructed to identify prognostic biomarkers for HCC through Cox survival analysis. Seven prognosis-associated mRNA co-expression modules were obtained by analyzing these differentially expressed mRNAs. An expression module including 120 mRNAs was significantly corre-lated with HCC patient survival. Combined with patient survival data, several mRNAs and miRNAs, including CHST4, SLC22A8, STC2, hsa-miR-326, and hsa-miR-21 were identified from the network to predict HCC patient prognosis. Clinical significance was investigated using tissue microarray analysis of samples from 258 patients with HCC. Functional annotation of hsa-miR-326 and hsa-miR-21-5p indicated specific associations with several cancer-related pathways. The present study provides a bioinformatics method for biomarker screening, leading to the identification of an integrated mRNA–miRNA–lncRNA regulatory network and their co-expression patterns in relation to predicting HCC patient survival.