Mechanism of Procyanidin B2 in the Treatment of Chronic Myeloid Leukemia Based on Integrating Network Pharmacology and Molecular Docking.

OBJECTIVE: To study the pharmacological mechanism of procyanidin B2 (PCB2) on chronic myeloid leukemia (CML) by integrating network pharmacological methods systematically. METHODS: Firstly, the potential target genes of PCB2 were predicted by the pharmacological database and analysis platform (TCMSP and Pharmmapper). Meanwhile, the relevant target genes of CML were collected from GeneCards and DisGene. Pooled data were collected to screen for common target genes. Furthermore, the above intersection genes were imported into the String website to construct a protein-protein interaction (PPI) network, and the Gene Ontology (GO) functional annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway were further analyzed. Besides, molecular docking was performed to verify the possible binding conformation between PCB2 and candidate targets. Finally, MTT and RT-PCR experiments of K562 cells were performed to verify the above results of network pharmacology. RESULTS: A total of 229 PCB2 target genes were retrieved, among which 186 target genes had interaction with CML. The pharmacological effects of PCB2 on CML were related to some important oncogenes and signaling pathways. The top ten core targets predicted by Network Analysis were as follows: AKT1, EGFR, ESR1, CASP3, SRC, VEGFA, HIF1A, ERBB2, MTOR, and IGF1. Molecular docking studies confirmed that hydrogen bonding was the main interaction force of PCB2 binding targets. According to the molecular docking score, the following three target proteins were most likely to bind to PCB2: VEGFA (-5.5 kcal/mol), SRC (-5.1 kcal/mol), and EGFR (-4.6 kcal/mol). After treatment of PCB2 for 24h, mRNA expression levels of VEGFA and HIF1A decreased significantly in K562 cells. CONCLUSION: Through integrating network pharmacology combined with molecular docking, the study revealed the potential mechanism of PCB2 anti-chronic myeloid leukemia.

[5'-flanking regulatory sequence methylation of the Boule gene in the testis tissue of infertile men with Sertoli cell-only syndrome].

OBJECTIVE: To investigate the 5'-flanking regulatory sequence methylation status of the Boule gene in the testis tissue of infertile men with Sertoli cell-only syndrome (SCOS). METHODS: We collected biopsy samples of the testis tissue from 12 men with obstructive azoospermia (the control group) and 15 cases of SCOS, all without varicocele, cryptorchidism, or infectious disease. We extracted genomic DNA from the testis tissue of the SCOS patients, analyzed the characteristics of the 5'-flanking regulatory sequence of the Boule gene using the bioinformatics method, and detected the methylation status of the Boule gene by sodium bisulfite sequencing. RESULTS: A CpG island was observed in the 5'-flanking regulation region of the Boule gene. The methylation level of the Boule gene was remarkably higher in the SCOS group than in the obstructive azoospermia controls (61.4% vs 21.7%, P<0.01), with significant differences in the methylation levels of 14 CpG sites, namely, －58 bp, －50 bp, －48 bp, －38 bp, －28 bp, －24 bp, －20 bp, －15 bp, －1 bp, +5 bp, +8 bp, +15 bp, +29 bp, and +58 bp. CONCLUSIONS: The methylation level of the Boule gene is significantly higher in the SCOS patients than in the obstructive azoospermia males, which suggests that the changes in Boule methylation may be associated with spermatogenic dysfunction.

The time interval between hCG priming and oocyte retrieval in ART program: a meta-analysis.

OBJECTIVE: To evaluate the relationship between different hCG priming-to-oocyte retrieval intervals and assisted reproductive technology (ART) outcome. METHODS: We systematically searched PubMed, EMBASE, the Cochrane Library, Science Citation Index, Chinese biomedicine (CBM) literature database, and Chinese Journal Full-text Database for randomized controlled trials (RCTs) published up to November 2010. Data was extracted from the studies by two independent reviewers. Statistical analysis was performed with Cochrane Collaboration's Review Manager (RevMan) 5.0.2. From extracted data, Risk Ratio (RR) with 95% confidence interval (CI) was calculated. RESULTS: 5 RCTs totaling 895 participants were included. Oocyte maturation rate was higher in the long interval group compared with short interval group (RR, 0.67; 95% CI, 0.62-0.73). There were no significant difference between the two groups with regard to fertilization rate (RR, 0.99; 95% CI, 0.94-1.04), implantation rate (RR, 0.91; 95% CI, 0.40-2.04), and pregnancy rate (RR, 0.79; 95% CI, 0.58-1.08). CONCLUSION: The percentage of mature (MII) oocytes can be increased by prolonging the interval between hCG priming and oocyte retrieval. The prolonged interval could not increase the fertilization rate, implantation rate, and pregnancy rate. Although there was evidence to confirm the results, they still need to be confirmed by large-sample, multicenter, randomized controlled trials. The time interval dependent mechanisms responsible for ART performance need to be elucidated.