This study aimed at investigating the prevalence and clinical characteristics of children with respiratory infection by WU polyomavirus (WUPyV) in Southern China. Nasopharyngeal aspirate samples were collected from 771 children with acute respiratory tract infection admitted to hospital and 82 samples from healthy subjects for routine examination at the outpatient service at the Second Affiliated Hospital of Shantou University, Medical College from July 2008 to June 2009. WUPyV was detected by the polymerase chain reaction (PCR) and DNA sequencing. All WUPyV-positive specimens were characterized further for nine viruses causing common respiratory infections, including influenza A and B, respiratory syncytial virus (RSV), parainfluenza virus (PIV) 1 and 3, human metapneumovirus, human bocavirus, adenovirus, and rhinovirus by PCR or real time (RT)-PCR. Fifteen out of 771 specimens from patients with acute respiratory tract infection, but none from healthy subjects, were positive for WUPyV and the positivity rate was 2%. Patients with WUPyV infection were between 2 and 48 months of age, and nine of the patients were male while six female. Four out of 15 patients were co-infected with RSV, one with adenovirus or rhinovirus, respectively. Patients with WUPyV infection displayed predominantly cough, moderate fever, and wheezing, and were diagnosed with pneumonia (n = 8), bronchiolitis (n = 4), upper respiratory tract infections (n = 2) and bronchitis (n = 1). One patient developed encephalitis. Therefore, WUPyV infection can cause acute respiratory tract infection with atypical symptoms, including severe complications, in children.

Background Previous studies have demonstrated the significant role of the microbiome in the prognosis of colorectal cancer (CRC) patients. However, few studies have utilized bioinformatics to analyze the prognostic value of the microbiome in CRC. In this study, we constructed a CRC microbial abundance prognostic risk (MAPR) model and evaluated its prognostic value. Methods The TCGA CRC microbiome data (TCGA-CRC-microbiome) was downloaded from the cBioPortal website. Univariate, LASSO, and multivariate Cox regression analyses were performed to investigate the relationship between CRC microbial abundance and survival. The MAPR model was constructed based on the above analyses. The predictive ability of the MAPR model was evaluated using Kaplan-Meier (KM) survival curves, receiver operating characteristic (ROC) curves, independent prognostic analysis, and nomogram models. Results Using 11 microbial genera which exhibited adverse overall survival (OS) in CRC patients from overall 1406 microbes in the TCGA-CRC microbiome dataset to construct a MAPR model. This model was constructed and assessed for prognostic value using different survival endpoints. The results indicated that the high-risk group had shorter OS, progression-free interval (PFI), disease-specific survival (DSS), and disease-free interval (DFI). High-risk status served as an independent adverse prognostic factor, with greater prognostic value than other clinical indicators. Compared to the MAPR-unincorporated CRC nomogram, the four nomograms incorporating MAPR significantly improved the predictive ability. Conclusion The successful establishment of CRC's MAPR and its unique prognostic value provide a novel perspective for further investigations into the prognostic mechanisms of CRC patients.

Background: In 2007, Gaynor et al. discovered a previously unidentified human polyomavirus in respiratory secretions obtained from human patients with symptoms of acute respiratory tract infection. T his new virus was designated WU polyomavirus.To investigate the frequency of it infections in GuangDong, China, We sought to describe the detection and clinical characterization of WU Polyomavirus with infection in Children.Methods: From July 2008 through June 2009, nasopharyngeal aspirates were collected from 771 child ren who were hospitalized with acute lower respiratory tract infection in Second Affiliated Hos pital of Shantou University Medical College, and 82 were asymptomatic who visited the wellb eing clinic .WU Polyomaviruses was detected by using PCR technology and was identified by using DNA sequences. All WU polyomavirus positive specimens were screened for 9 comme n viruses (influenza A and B; RSV; PIV 1 and 3; human metapneumovirus; human bocavirus; adenovirus; rhinovirus)by using PCR or RT-PCR.Results: In this study, fifteen of the 771 tested specimens with acute lower respiratory tract infection were positive fo r WU polyomavirus, the positive rate was 1.95%. and all of the asymptomatic children who vis ited the wellbeing clinic were negative. Positive specimens were noted for patients 2 months to 48 months of age, the median age was 18.8 months. Of the 15 WU Polyomaviruses positive patients, 9 (60%) were male.,6(40%) were female.WU polyomavirus was the sole virus detected in 9 spe cimens(60%) from patients with acute respiratory tract infection. WU polyomavirus were asso ciated with the coinfection of another respiratory virus in 6 of 15 (40%), most frequently with RSV (n = 4),follo wed by adenovirus (n = 1) and rhinovirus (n = 1). The most common clinical findings in the pa tients with WU polyomavirus are cough,fever, wheezing.The most frequent diagnoses were pneumonia (n = 8),bronchiolitis(n = 4), upper respiratory tract infections (n = 2) and bronchitis(n = 1).A severe case was complication with viral encephalitis.Conclusion: We suggests that WU Polyomaviruses may be a respiratory pathogen because WU polyomav irus was the sole virus detected in 9 specimens from patients with respiratory illness and all of the asymptomatic were negative.The most common clinical findings are cough and wheezing .Young children are the main target. And the pathogenetic condition are generally mild. More comprehensive studies are required to prove these viruses are agents causing respiratory disease.