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Foodborne and zoonotic viral pathogens are responsible for substantial morbidity and mortality worldwide. These viruses can be transmitted through foods such as dairy products to humans and cause several acute and chronic diseases. This study aimed to investigate the prevalence and profile of different foodborne and zoonotic viruses in raw cow milk samples. We collected 492 raw cow milk samples from local dairy markets in Qazvin, Iran. Then we evaluated the presence of hepatitis A virus, noroviruses, rotavirus, astrovirus, bovine leukaemia virus (BLV) and tick-borne encephalitis virus (TBEV) in samples using conventional and nested reverse transcription-polymerase chain reaction methods. We found that 34.95, 7.72, 25.81, 14.63, 66.86, 12.80 and 21.34% of raw milk samples were contaminated with norovirus GI, norovirus GII, hepatitis A virus, rotavirus, astrovirus, BLV and TBEV viruses, respectively. Interestingly, the samples collected from the city's south area revealed a higher prevalence of foodborne and zoonotic viruses. Astrovirus and its combination with norovirus GI were the most prevalent virus profiles. Also, the highest correlations were observed among the presence of rotavirus and hepatitis A viruses (0.36) and TBEV and norovirus GII (0.31). Considering the prevalence rate and virus profiles of different foodborne and zoonotic viruses in raw milk samples, hygiene practices and the pasteurization process are strongly suggested to be conducted throughout the cow milk production chain and in dairy industries to prevent infections with these pathogens.

Dear Editor,Viruses represent the major cause of febrile consultations in children across sub-Saharan Africa [1,2], but considering their high number and the need of specific molecular tools target...

// Sagarika Banerjee 1 , Tian Tian 2 , Zhi Wei 2 , Natalie Shih 3 , Michael D. Feldman 3 , James C. Alwine 4 , George Coukos 5 , Erle S. Robertson 1 1 Department of Otorhinolaryngology-Head and Neck Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America 2 Department of Computer Science, New Jersey Institute of Technology, Newark, New Jersey, United States of America 3 Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America 4 Department of Cancer Biology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America 5 Department of Oncology, University Hospital of Lausanne (CHUV), Lausanne, Switzerland Correspondence to: Erle S. Robertson, email: erle@mail.med.upenn.edu Keywords: oncobiome, microbiome, ovarian cancer, pathochip, next generation sequencing Received: August 15, 2016 Accepted: March 08, 2017 Published: March 30, 2017 ABSTRACT Humans and other mammals are colonized by microbial agents across the kingdom which can represent a unique microbiome pattern. Dysbiosis of the microbiome has been associated with pathology including cancer. We have identified a microbiome signature unique to ovarian cancers, one of the most lethal malignancies of the female reproductive system, primarily because of its asymptomatic nature during the early stages in development. We screened ovarian cancer samples along with matched, and non-matched control samples using our pan-pathogen array (PathoChip), combined with capture-next generation sequencing. The results show a distinct group of viral, bacterial, fungal and parasitic signatures of high significance in ovarian cases. Further analysis shows specific viral integration sites within the host genome of tumor samples, which may contribute to the carcinogenic process. The ovarian cancer microbiome signature provides insights for the development of targeted therapeutics against ovarian cancers.

Urine culture and microscopy techniques are used to profile the bacterial species present in urinary tract infections. To gain insight into the urinary flora in infection and health, we analyzed clinical laboratory features and the microbial metagenome of 121 clean-catch urine samples. 16S rDNA gene signatures were successfully obtained for 116 participants, while whole genome shotgun sequencing data was successfully generated for samples from 49 participants. Analysis of these datasets supports the definition of the patterns of infection and colonization/contamination. Although 16S rDNA sequencing was more sensitive, whole genome shotgun sequencing allowed for a more comprehensive and unbiased representation of the microbial flora, including eukarya and viral pathogens, and of bacterial virulence factors. Urine samples positive by whole genome shotgun sequencing contained a plethora of bacterial (median 41 genera/sample), eukarya (median 2 species/sample) and viral sequences (median 3 viruses/sample). Genomic analyses revealed cases of infection with potential pathogens (e.g.,Alloscardovia sp, Actinotignum sp,Ureaplasma sp) that are often missed during routine urine culture due to species specific growth requirements. We also observed gender differences in the microbial metagenome. While conventional microbiological methods are inadequate to identify a large diversity of microbial species that are present in urine, genomic approaches appear to comprehensively and quantitatively describe the urinary microbiome.

OBJECTIVE: To assess the incidence and epidemiological pattern of respiratory viruses in HIV-infected patients and to evaluate their potential clinical impact. DESIGN AND METHODS: A prospective population-based cohort study was conducted at three Swiss university hospitals. Study participants were HIV-infected patients who underwent a bronchoalveolar lavage to rule out an opportunistic event. All bronchoalveolar lavage specimens were screened using a set of real-time reverse transcriptase-polymerase chain reaction assays targeting 17 different respiratory viruses. RESULTS: Between November 2003 and November 2006, 59 bronchoalveolar episodes from 55 HIV-infected patients were analysed. Eleven of 59 episodes (18.6%) were positive for at least one respiratory virus. Coronavirus OC43 was identified in three cases (27.3%) followed by influenza A in two (18.2%). Parainfluenza virus (PIV) 2, PIV 3, PIV 4, bocavirus, human rhinovirus A and human metapneumovirus were each identified in one case (9%). In the majority of these cases (63.6%) no other concomitant microorganism was isolated. CONCLUSIONS: Clinical investigation of respiratory viral infections in HIV-infected patients should not be restricted to prototype viruses and also need to target all the different family of viruses as it seems likely that these viruses contribute to pulmonary complications and morbidity in this population.