Epidemiology characteristics of human coronaviruses in patients with respiratory infection symptoms and phylogenetic analysis of HCoV-OC43 during 2010-2015 in Guangzhou.

Human coronavirus (HCoV) is one of the most common causes of respiratory tract infection throughout the world. To investigate the epidemiological and genetic variation of HCoV in Guangzhou, south China, we collected totally 13048 throat and nasal swab specimens from adults and children with fever and acute upper respiratory infection symptoms in Gunazhou, south China between July 2010 and June 2015, and the epidemiological features of HCoV and its species were studied. Specimens were screened for HCoV by real-time RT-PCR, and 7 other common respiratory viruses were tested simultaneously by PCR or real-time PCR. HCoV was detected in 294 cases (2.25%) of the 13048 samples, with most of them inpatients (251 cases, 85.4% of HCoV positive cases) and young children not in nursery (53.06%, 156 out of 294 HCoV positive cases). Four HCoVs, as OC43, 229E, NL63 and HKU1 were detected prevalent during 2010-2015 in Guangzhou, and among the HCoV positive cases, 60.20% were OC43, 16.67% were 229E, 14.97% were NL63 and 7.82% were HKU1. The month distribution showed that totally HCoV was prevalent in winter, but differences existed in different species. The 5 year distribution of HCoV showed a peak-valley distribution trend, with the detection rate higher in 2011 and 2013 whereas lower in 2010, 2012 and 2014. The age distribution revealed that children (especially those <3 years old) and old people (>50 years) were both high risk groups to be infected by HCoV. Of the 294 HCoV positive patients, 34.69% (101 cases) were co-infected by other common respiratory viruses, and influenza virus was the most common co-infecting virus (30/101, 29.70%). Fifteen HCoV-OC43 positive samples of 2013-2014 were selected for S gene sequencing and phylogenetic analysis, and the results showed that the 15 strains could be divided into 2 clusters in the phylogenetic tree, 12 strains of which formed a separate cluster that was closer to genotype G found in Malaysia. It was revealed for the first time that genotype B and genotype G of HCoV-OC43 co-circulated and the newly defined genotype G was epidemic as a dominant genotype during 2013-2014 in Guanzhou, south China.

Screening and identification of significant genes related to tumor metastasis and PSMA in prostate cancer using microarray analysis.

Tumor metastasis is one of the causes for the high mortality rate of prostate cancer (PCa) patients, yet the molecular mechanisms of PCa metastasis are not fully understood. In our previous studies, we found that PSMA suppresses the metastasis of PCa, yet the underlying mechanism remains unknown. To identify the genes related to tumor metastasis possibly regulated by PSMA, we performed tumor metastasis PCR array assay to analyze the differentially expressed tumor metastasis-related genes. Eighty-four tumor metastasis related genes were screened in si-PSMA LNCap cells (PSMA silenced by siRNA)/LNCap cells and in PC-3/LNcap cells, respectively. Expression levels of possible related genes were verified by real-time PCR in 4 prostate cancer cell lines (LNCap, 22RV1, PC-3 and DU145) and in 85 clinical samples (12 normal, 26 benign prostatic hypertrophy and 47 prostate cancer tissues). The results showed that 10 genes (including CDH6 and CXCL12) were upregulated and 4 genes (CCL7, ITGB3, MDM2 and MMP2) were downregulated in the si-PSMA LNCap cells. There were 41 genes significantly upregulated and 15 genes downregulated in PC-3 cells when compared with LNCap cells. Eight common genes were found in both the si-PSMA and PSMA(-) groups. CDH6, MMP3, MTSS1 were further identified as PSMA-related genes in the prostate cancer cell lines and clinical samples, and their expression showed a negative correlation with the stage of prostate cancer (P<0.0001) and PSMA level (P<0.05) in clinical samples, indicating their possible involvement in PSMA-related PCa metastasis regulation. These findings may provide insights into the mechanism involved in the suppression of PCa metastasis by PSMA and its possible interacting proteins, and may provide clues for further exploration of the molecular mechanism of PCa metastasis.