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Arunasalam S, Pattiyakumbura T, Shihab SR, Muthugala R, Noordeen F. Demographic and clinical characteristics of human bocavirus-1 infection in patients with acute respiratory tract infections during the COVID-19 pandemic in the Central Province of Sri Lanka. BMC Infect Dis 2023; 23:425. [PMID: 37349687 DOI: 10.1186/s12879-023-08312-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Accepted: 05/06/2023] [Indexed: 06/24/2023] Open
Abstract
BACKGROUND Human bocavirus-1 (hBoV-1) was first detected in respiratory specimens in 2005. Due to high co-infection rates and prolonged shedding of the virus, the pathogenic role of hBoV-1 as a primary causative agent of respiratory infections is still under discussion. This study aimed to determine the prevalence of hBoV-1 infection in patients with acute respiratory tract infections (ARTIs) during the COVID-19 pandemic in the Central Province of Sri Lanka. METHODS A total of 1021 patients (Age 12 days to ≤ 85 years) with ARTI symptoms including fever, cough, cold, sore throat and shortness of breath within first 7 days of the illness were included. The study was carried out at the National Hospital, Kandy, Sri Lanka from January 2021 to October 2022. Respiratory specimens were tested to detect 23 pathogens including hBoV-1 using a real time PCR. Prevalence of hBoV-1 co-infections with other respiratory pathogens and distribution of hBoV-1 infection among different age groups were determined. Moreover, clinical and demographic characteristics of hBoV-1 mono-infection associated ARTI were compared with that of the hBoV-1 co-infections. RESULTS Respiratory infections were detected in 51.5% (526/1021) of the patients and of these 82.5% were mono- and 17.1% were co-infections. hBoV-1 was detected in 66 patients and this was the most prevalent respiratory virus associated with 40% co-infections. Of the 66 hBoV-1 positive patients, 36 had co-infections and of these 33 had dual and 3 had triple infections. Most of the hBoV-1 co-infections were identified in children aged 2-<5 years. hBoV-1 co-infections were most frequently detected with respiratory syncytial virus (RSV) and Rhino/ Entero viruses (Rh/EnV). No differences were observed in age, gender and clinical presentations in those with hBoV-1 mono- compared to co-infections. Intensive care admissions were less among hBoV-1 mono-infected than hBoV-1 co-infected patients. CONCLUSION This study shows a prevalence of 12.5% for hBoV-1 infections in patients with ARTI. RSV and Rh/EnV were the most common co-infecting pathogens with hBoV-1. Clinical features of hBoV-1 mono-infections were not different to that of the hBoV-1 co-infections. Interactions between hBoV-1 and other respiratory pathogens need investigation to identify the role of hBoV-1 in clinical severity of co-infections.
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Affiliation(s)
- Shiyamalee Arunasalam
- Diagnostic and Research Virology Laboratory, Department of Microbiology, Faculty of Medicine, University of Peradeniya, Peradeniya, 20400, Sri Lanka
| | | | - Sibra Rm Shihab
- Diagnostic and Research Virology Laboratory, Department of Microbiology, Faculty of Medicine, University of Peradeniya, Peradeniya, 20400, Sri Lanka
| | - Rohitha Muthugala
- Virology Laboratory, National Hospital Kandy, Kandy, 20000, Sri Lanka
| | - Faseeha Noordeen
- Diagnostic and Research Virology Laboratory, Department of Microbiology, Faculty of Medicine, University of Peradeniya, Peradeniya, 20400, Sri Lanka.
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Joung YH, Jang TS, Kim JK. Association among sentinel surveillance, meteorological factors, and infectious disease in Gwangju, Korea. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:17561-17569. [PMID: 34669138 PMCID: PMC8527811 DOI: 10.1007/s11356-021-17085-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 10/13/2021] [Indexed: 05/13/2023]
Abstract
The outbreak of new infectious diseases is threatening human survival. Transmission of such diseases is determined by several factors, with climate being a very important factor. This study was conducted to assess the correlation between the occurrence of infectious diseases and climatic factors using data from the Sentinel Surveillance System and meteorological data from Gwangju, Jeollanam-do, Republic of Korea. The climate of Gwangju from June to September is humid, with this city having the highest average temperature, whereas that from December to February is cold and dry. Infection rates of Salmonella (temperature: r = 0.710**; relative humidity: r = 0.669**), E. coli (r = 0.617**; r = 0.626**), rotavirus (r = - 0.408**; r = - 0.618**), norovirus (r = - 0.463**; r = - 0.316**), influenza virus (r = - 0.726**; r = - 0.672**), coronavirus (r = - 0.684**; r = - 0.408**), and coxsackievirus (r = 0.654**; r = 0.548**) have been shown to have a high correlation with seasonal changes, specifically in these meteorological factors. Pathogens showing distinct seasonality in the occurrence of infection were observed, and there was a high correlation with the climate characteristics of Gwangju. In particular, viral diseases show strong seasonality, and further research on this matter is needed. Due to the current COVID-19 pandemic, quarantine and prevention have become important to block the spread of infectious diseases. For this purpose, studies that predict infectivity through various types of data related to infection are important.
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Affiliation(s)
- You Hyun Joung
- Department of Medical Laser, Dankook University Graduate School of Medicine, Cheonan-Si, Chungnam, Republic of Korea
| | - Tae Su Jang
- Department of Preventive Medicine, Dankook University College of Medicine, Cheonan-Si, Chungnam, Republic of Korea
| | - Jae Kyung Kim
- Department of Biomedical Laboratory Science, Dankook University College of Health Sciences, 119, Dandae-ro, Dongnam-gu, Cheonan-si, Chungnam, 31116, Republic of Korea.
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Huang XB, Yuan L, Ye CX, Zhu X, Lin CJ, Zhang DM, He KS, Niu RX, Cao KY, Xu L. Epidemiological characteristics of respiratory viruses in patients with acute respiratory infections during 2009-2018 in southern China. Int J Infect Dis 2020; 98:21-32. [PMID: 32562851 DOI: 10.1016/j.ijid.2020.06.051] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2020] [Revised: 06/11/2020] [Accepted: 06/13/2020] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Acute respiratory infections (ARIs) remain a significant public threat with high morbidity and mortality worldwide; viruses are significant pathogens that cause ARIs. This study was conducted to better understand the epidemiological characteristics of respiratory viruses circulating in southern China. METHODS We collected 22,680 respiratory samples from ARI patients in 18 hospitals in southern China during 2009-2018; seven common respiratory viruses including Flu, RSV, PIV, hMPV, ADV, HCoV, and HBoV were screened using in-house real-time PCR. RESULTS Of all samples, 9760 ARI cases (9760/22680, 43.03%) tested positive for the seven common respiratory viruses. The most detected virus was Flu (14.15%), followed by RSV (10.33%) and PIV (5.43%); Flu-A, PIV3, and HCoV-OC43 were the predominant subtypes. Although most of the viruses were detected in male inpatients, Flu was more likely detected in female outpatients. Flu infection was more likely to cause URTI (upper respiratory tract infection), whereas RSV infection was more likely to cause pneumonia and bronchitis. The prevalence of Flu was particularly high in 2009. The epidemic level was found notably high in 2014-2018 for RSV, in 2016-2018 for PIV, in the summer of 2018 for ADV, in the summer of 2016 and winter of 2018 for HCoV, and in the summer of 2011 and autumn of 2018 for HBoV. The co-detection rate of the seven viruses was 4.70%; RSV, PIV, and Flu were the most commonly co-detected viruses. CONCLUSIONS This work demonstrates the epidemiological characteristics of seven common respiratory viruses in ARI patients in southern China.
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Affiliation(s)
- Xu-Bin Huang
- Department of Pulmonary and Critical Care Medicine, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Lei Yuan
- Clinical laboratory, First Affiliated Hospital of Nanchang University, Nanchang University, Jiangxi, China; Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-sen University, Guangzhou, China; Research Center for Clinical Laboratory Standard, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China; Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Cong-Xiu Ye
- Department of Dermatovenereology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Xun Zhu
- Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-sen University, Guangzhou, China; Research Center for Clinical Laboratory Standard, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China; Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Cui-Ji Lin
- Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-sen University, Guangzhou, China; Research Center for Clinical Laboratory Standard, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China; Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Ding-Mei Zhang
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Kai-Shu He
- Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-sen University, Guangzhou, China; Research Center for Clinical Laboratory Standard, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China; Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Ruo-Xi Niu
- Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-sen University, Guangzhou, China; Research Center for Clinical Laboratory Standard, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China; Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Kai-Yuan Cao
- Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-sen University, Guangzhou, China; Research Center for Clinical Laboratory Standard, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China; Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
| | - Lin Xu
- Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-sen University, Guangzhou, China; Research Center for Clinical Laboratory Standard, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China; Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
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Luo HJ, Huang XB, Zhong HL, Ye CX, Tan X, Zhou K, Yuan L, Zhang SF, Zhu X, Lin CJ, Wang WJ, Xu L, Cao KY. Epidemiological characteristics and phylogenic analysis of human respiratory syncytial virus in patients with respiratory infections during 2011-2016 in southern China. Int J Infect Dis 2019; 90:5-17. [PMID: 31634614 PMCID: PMC7110755 DOI: 10.1016/j.ijid.2019.10.009] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Revised: 10/06/2019] [Accepted: 10/11/2019] [Indexed: 12/25/2022] Open
Abstract
For respiratory syncytial virus (RSV), an annual distribution pattern of 2-year RSV-A dominance followed by a 1-year RSV-B dominance was found in Guangzhou. In 2011–2016 in south China, prevalent RSV-A genotypes were NA1 and ON1 and the prevalent RSV-B genotype was BA9. The prevalent RSV-A genotype changed from Chongqing NA1 in 2011 to Hong Kong ON1 in 2014. The highest RSV epidemic peak occurred in 2015, indicating a possible biennial peak. The ongoing evolution of RSV-A ON1 and NA1 genotypes indicated high selection pressure.
Background Human respiratory syncytial virus (RSV) is one of the most important pathogens that cause acute respiratory infections in children and immunocompromised adults. This work was conducted to understand the epidemiological and phylogenetic features of RSV in southern China during 2011–2016. Methods A total of 16 024 nasopharyngeal swabs were collected from patients with respiratory infections in 14 hospitals, and screened for RSV and seven other respiratory viruses using real-time PCR. Six hundred and twenty-three RSV-positive samples from 13 hospitals were further analyzed for subtypes. G gene sequencing and phylogenetic analysis were performed based on 46 RSV-A and 15 RSV-B strains. Results RSV was detected in 9.5% of the 16 024 specimens, the highest among the eight respiratory viruses screened. Most of these specimens came from inpatients and children under 3 years of age. The incidence of RSV-A (9.4%) was higher than that of RSV-B (4.4%) in children (<15 years), but not in adults (0.64% vs. 0.58%). A 2-year RSV-A dominance followed by a 1-year RSV-B dominance pattern was found. The co-detection rate of RSV was 25.1%. The main prevalent genotypes were NA1, ON1, and BA9. The prevalent RSV-A genotype in 2011–2012 was NA1, close to Chongqing and Brazil, but a new Hong Kong ON1 genotype was introduced and became the prevalent genotype in Guangzhou in 2014–2015. Deduced amino acid sequence analysis confirmed the ongoing evolution and a high selection pressure of RSV-A and B strains, especially in RSV-A ON1 and NA1 genotypes. Conclusions This study demonstrated the molecular epidemiological characteristics of RSV in patients with respiratory infections in southern China.
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Affiliation(s)
- Hong-Jiao Luo
- Department of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China; Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China; Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China; Sun Yat-sen University - University of Hong Kong Joint Laboratory of Infectious Disease Surveillance, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Xu-Bin Huang
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Hui-Ling Zhong
- Department of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China; Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China; Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China; Sun Yat-sen University - University of Hong Kong Joint Laboratory of Infectious Disease Surveillance, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Cong-Xiu Ye
- Department of Dermatovenereology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510630, China.
| | - Xin Tan
- Department of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China.
| | - Kai Zhou
- Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China; Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China; Sun Yat-sen University - University of Hong Kong Joint Laboratory of Infectious Disease Surveillance, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Lei Yuan
- Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China; Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China; Sun Yat-sen University - University of Hong Kong Joint Laboratory of Infectious Disease Surveillance, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Su-Fen Zhang
- Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China; Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China; Sun Yat-sen University - University of Hong Kong Joint Laboratory of Infectious Disease Surveillance, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Xun Zhu
- Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China; Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China; Sun Yat-sen University - University of Hong Kong Joint Laboratory of Infectious Disease Surveillance, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Cui-Ji Lin
- Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China; Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China; Sun Yat-sen University - University of Hong Kong Joint Laboratory of Infectious Disease Surveillance, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Wen-Jun Wang
- Department of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China.
| | - Lin Xu
- Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China; Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China; Sun Yat-sen University - University of Hong Kong Joint Laboratory of Infectious Disease Surveillance, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Kai-Yuan Cao
- Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China; Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China; Sun Yat-sen University - University of Hong Kong Joint Laboratory of Infectious Disease Surveillance, Sun Yat-sen University, Guangzhou, 510080, China.
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Li YT, Liang Y, Ling YS, Duan MQ, Pan L, Chen ZG. The spectrum of viral pathogens in children with severe acute lower respiratory tract infection: A 3-year prospective study in the pediatric intensive care unit. J Med Virol 2019; 91:1633-1642. [PMID: 31081548 PMCID: PMC7167151 DOI: 10.1002/jmv.25502] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Revised: 04/17/2019] [Accepted: 05/08/2019] [Indexed: 12/17/2022]
Abstract
Background No comprehensive analysis is available on the viral etiology and clinical characterization among children with severe acute lower respiratory tract infection (SALRTI) in Southern China. Methods Cohort of 659 hospitalized children (2 months to 14 years) with SALRTI admitted to the Pediatric Intensive Care Unit (PICU) in the Guangzhou from May 2015 to April 2018 was enrolled in this study. Nasopharyngeal aspirate specimens or induced sputum were tested for eight categories respiratory viral targets. The viral distribution and its clinical characters were statistically analyzed. Results Viral pathogen was detected in 326 (49.5%) of children with SALRTI and there were 36 (5.5%) viral coinfections. Overall, the groups of viruses identified were, in descending order of prevalence: Influenza virus (IFV) (n = 94, 14.3%), respiratory syncytial virus (RSV) (n = 75, 11.4%), human rhinovirus (HRV) (n = 56, 8.5%), adenovirus (ADV) (n = 55, 8.3%), parainfluenza (PIV) (n = 47, 7.1%), human coronavirus (HCoV) (n = 15, 2.3%), human metapneumovirus (HMPV) (n = 14, 2.1%) and human bocavirus (HBoV) (n = 11, 1.7%). The positive rate in younger children (< 5 years) was significantly higher than the positive rate detected in elder children (> 5 years) (52.5% vs 35.1%, P = 0.001). There were clear seasonal peaks for IFV, RSV, HRV, ADV, PIV, and HMPV. And the individuals with different viral infection varied significantly in terms of clinical profiles. Conclusions Viral infections are present in a consistent proportion of patients admitted to the PICU. IFV, RSV, HRV, and ADV accounted for more than two‐thirds of all viral SALRTI. Our findings could help the prediction, prevention and potential therapeutic approaches of SALRTI in children. Viral infections are present in a consistent proportion of patients admitted to the Pediatric Intensive Care Unit. Influenza virus, respiratory syncytial virus, human rhinovirus and adenovirus accounted for more than two‐thirds of all viral SALRTI.
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Affiliation(s)
- Ya-Ting Li
- Department of Pediatric Intensive Care Unit, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - Ying Liang
- Department of Pediatric Intensive Care Unit, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - Ye-Sheng Ling
- Department of Pediatric Intensive Care Unit, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - Meng-Qi Duan
- Department of Pediatric Intensive Care Unit, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - Li Pan
- Department of Pediatric Intensive Care Unit, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - Zhuang-Gui Chen
- Department of Pediatric Intensive Care Unit, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, People's Republic of China
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Zhang SF, Tuo JL, Huang XB, Zhu X, Zhang DM, Zhou K, Yuan L, Luo HJ, Zheng BJ, Yuen KY, Li MF, Cao KY, Xu L. Epidemiology characteristics of human coronaviruses in patients with respiratory infection symptoms and phylogenetic analysis of HCoV-OC43 during 2010-2015 in Guangzhou. PLoS One 2018; 13:e0191789. [PMID: 29377913 PMCID: PMC5788356 DOI: 10.1371/journal.pone.0191789] [Citation(s) in RCA: 95] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2017] [Accepted: 01/11/2018] [Indexed: 12/24/2022] Open
Abstract
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.
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Affiliation(s)
- Su-Fen Zhang
- Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong Province, China.,Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-Sen University, Guangzhou, Guangdong Province, China.,Clinical Laboratory and Institute of Medical Genetics, Women and Children's Healthcare Hospital of Zhuhai City, Zhuhai, Guangdong Province, China
| | - Jiu-Ling Tuo
- Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong Province, China.,Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-Sen University, Guangzhou, Guangdong Province, China.,Sun Yat-sen University-University of Hong Kong Joint Laboratory of Infectious Disease Surveillance, Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Xu-Bin Huang
- Medical ICU, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Xun Zhu
- Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong Province, China.,Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-Sen University, Guangzhou, Guangdong Province, China.,Sun Yat-sen University-University of Hong Kong Joint Laboratory of Infectious Disease Surveillance, Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Ding-Mei Zhang
- Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong Province, China.,Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-Sen University, Guangzhou, Guangdong Province, China.,Sun Yat-sen University-University of Hong Kong Joint Laboratory of Infectious Disease Surveillance, Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Kai Zhou
- Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong Province, China.,Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-Sen University, Guangzhou, Guangdong Province, China.,Sun Yat-sen University-University of Hong Kong Joint Laboratory of Infectious Disease Surveillance, Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Lei Yuan
- Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong Province, China.,Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-Sen University, Guangzhou, Guangdong Province, China.,Sun Yat-sen University-University of Hong Kong Joint Laboratory of Infectious Disease Surveillance, Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Hong-Jiao Luo
- Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong Province, China.,Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-Sen University, Guangzhou, Guangdong Province, China.,Sun Yat-sen University-University of Hong Kong Joint Laboratory of Infectious Disease Surveillance, Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Bo-Jian Zheng
- Sun Yat-sen University-University of Hong Kong Joint Laboratory of Infectious Disease Surveillance, Sun Yat-sen University, Guangzhou, Guangdong Province, China.,Department of Microbiology, University of Hong Kong, Hong Kong SAR, China
| | - Kwok-Yung Yuen
- Sun Yat-sen University-University of Hong Kong Joint Laboratory of Infectious Disease Surveillance, Sun Yat-sen University, Guangzhou, Guangdong Province, China.,Department of Microbiology, University of Hong Kong, Hong Kong SAR, China
| | - Meng-Feng Li
- Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong Province, China.,Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-Sen University, Guangzhou, Guangdong Province, China.,Sun Yat-sen University-University of Hong Kong Joint Laboratory of Infectious Disease Surveillance, Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Kai-Yuan Cao
- Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong Province, China.,Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-Sen University, Guangzhou, Guangdong Province, China.,Sun Yat-sen University-University of Hong Kong Joint Laboratory of Infectious Disease Surveillance, Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Lin Xu
- Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong Province, China.,Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-Sen University, Guangzhou, Guangdong Province, China.,Sun Yat-sen University-University of Hong Kong Joint Laboratory of Infectious Disease Surveillance, Sun Yat-sen University, Guangzhou, Guangdong Province, China
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Abdel-Moneim AS, Kamel MM, Hassan NM. Evolutionary and genetic analysis of human bocavirus genotype-1 strains reveals an evidence of intragenomic recombination. J Med Microbiol 2017; 66:245-254. [PMID: 28086073 DOI: 10.1099/jmm.0.000432] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
PURPOSE Human bocavirus (HBoV) exsits in four genotypes: 1 to 4, with HBoV-1 being the most prevalent genotype. The aim of the current study was to genetically analyze the full-length genome of the HBoV-1 of recently detected Egyptian strains. METHODOLOGY Seven overlapping sets of primers were developed to amplify an almost complete HBoV-1 genome from the clinical samples. The primer sets were tested on three recently identified Egyptian HBoV-1 strains with viral loads ≥105 ml-1. Sequencing was conducted using the same sets of primers. HBoV-1 virus strains were genetically analyzed based on the sequences of their complete genomes and the individual ORFs. RESULTS The new sets of primers successfully amplified the three tested strains. Sequence analysis of the full-length genome of the HBoV-1 revealed a considerable level of genetic heterogenicity between different strains. Based on the full genome and VP1 ORF, HBoV-1 viruses were clustered into three main lineages, A to C, and lineage A was further subdivided into three sublineages, A1-A3. The Egyptian strains were clustered within two sublineages, A1 and A2. New amino acid substitutions were detected in NS1 and VP1/VP2 proteins. Both inter- and intragenomic recombination events were detected among the Egyptian strains. CONCLUSION The existence of both intragenomic recombination event and multiple amino acid substitutions in the examined Egyptian HBoV-1 strains elucidates considerable level of genetic alterations among bocaviruses. Their possible effects on the virus virulence and multiplication efficiency need to be investigated.
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Affiliation(s)
- Ahmed S Abdel-Moneim
- Virology Department, Faculty of Veterinary Medicine, Beni-Suef University, Beni-Suef 62511, Egypt.,Microbiology Department, College of Medicine, Taif University, Al-Taif 21944, Saudi Arabia
| | - Mahmoud M Kamel
- Clinical Pathology Department, National Cancer Institute, Cairo University, Giza, Egypt
| | - Naglaa M Hassan
- Clinical Pathology Department, National Cancer Institute, Cairo University, Giza, Egypt
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Zheng X, Liu G, Opriessnig T, Wang Z, Yang Z, Jiang Y. Development and validation of a multiplex conventional PCR assay for simultaneous detection and grouping of porcine bocaviruses. J Virol Methods 2016; 236:164-169. [PMID: 27448821 DOI: 10.1016/j.jviromet.2016.06.014] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2016] [Revised: 06/22/2016] [Accepted: 06/22/2016] [Indexed: 12/13/2022]
Abstract
Porcine bocavirus (PBoV), a newly described porcine parvovirus, has received attention because it can be commonly identified in clinically affected pigs including pigs with post-weaning multisystemic wasting syndrome (PWMS) and pigs with diarrhea. In recent years, novel PBoVs have been identified and were classified into three genogroups, but the ability to detect and classify these novel PBoVs is not comprehensive to date. In this study, a multiplex conventional PCR assay for simultaneous detection and grouping of PBoVs was developed by screening combinations of mixed primer pairs followed by optimization of the PCR conditions. This method exclusively amplifies targeted fragments of 531bp from the VP1 gene of PBoV G1, 291bp from the NP1 gene of PBoV G2, and 384bp from the NP1/VP1 gene of PBoV G3. The assay has a detection limit of 1.0×10(3)copies/μL for PBoV G1 4.5×10(3) for PBoV G2 and 3.8×10(3) for PBoV G3 based on testing mixed purified plasmid constructs containing the specific viral target fragments. The performance of the multiplex PCR assay was comparable to that of the single PCRs which used the same primer pairs. Using the newly established multiplex PCR assay, 227 field samples including faeces, serum and tissue samples from pigs were investigated. All three PBoV genogroups were detected in the clinical samples with a detection rate of 1.3%, 2.6% and 12.3%, respectively for PBoV G1, G2 and G3. Additionally, coinfections with two or more PBoV were detected in 1.7% of the samples investigated. These results indicate the multiplex PCR assay is specific, sensitive and rapid, and can be used for the detection and differentiation of single and multiple infections of the three PBoV genogroups in pigs.
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Affiliation(s)
- Xiaowen Zheng
- College of Life Sciences, Zhejiang Sci-Tech University, Hangzhou, China
| | - Gaopeng Liu
- College of Life Sciences, Zhejiang Sci-Tech University, Hangzhou, China
| | - Tanja Opriessnig
- The Roslin Institute and The Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian EH25 9RG, UK; Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, USA
| | - Zining Wang
- College of Life Sciences, Zhejiang Sci-Tech University, Hangzhou, China
| | - Zongqi Yang
- College of Life Sciences, Zhejiang Sci-Tech University, Hangzhou, China
| | - Yonghou Jiang
- College of Life Sciences, Zhejiang Sci-Tech University, Hangzhou, China.
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Wang Y, Li Y, Liu J, Zhao Y, Xie Z, Shen J, Tan W. Genetic characterization of human bocavirus among children with severe acute respiratory infection in China. J Infect 2016; 73:155-63. [PMID: 27306487 PMCID: PMC7112569 DOI: 10.1016/j.jinf.2016.05.014] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2015] [Revised: 04/22/2016] [Accepted: 05/27/2016] [Indexed: 12/11/2022]
Abstract
OBJECTIVES To investigate the genetic character of Human bocavirus (HBoV) among children with severe acute respiratory infection (SARI) in China. METHODS We screened 993 respiratory samples for HBoV by PCR among hospitalized children with SARI between September 2007 and March 2014. Four of HBoV1 samples were selected for complete genomes analysis by next-generation sequencing. RESULTS The results show that 200 (20.1%) out of 993 samples were HBoV-positive, most of these HBoV belong to HBoV1 subtype (n = 197), HBoV2 (n = 1) and HBoV3 (n = 2) were also detected. Fifty (5.04%) of 993 SARI patient were detected as HBoV-positive only. Four HBoV1 genomes in this study were conserved and showed no significant difference among the nucleotide diversity from different regions. Analyses of evolutionary rates showed that NS1 exhibited the highest degree of conservation while the VP1 gene exhibited the fastest rate of evolution at 4.20 × 10(-4) substitutions/site/year. The nucleotide deletions and substitutions occurred in NP1 and VP1 represented novel molecular signatures enabling subtype differentiation between HBoVs. CONCLUSIONS We described some new characteristics in the epidemiology of HBoV among children with SARI, these data will significantly expand the current knowledge of HBoV epidemic and genomic characterization among children with SARI.
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Affiliation(s)
- Yanqun Wang
- Key Laboratory of Medical Virology, Ministry of Health, National Institute for Viral Disease Control and Prevention, China CDC, Beijing 102206, China
| | - Yamin Li
- Key Laboratory of Medical Virology, Ministry of Health, National Institute for Viral Disease Control and Prevention, China CDC, Beijing 102206, China
| | - Jun Liu
- Key Laboratory of Medical Virology, Ministry of Health, National Institute for Viral Disease Control and Prevention, China CDC, Beijing 102206, China
| | - Yanjie Zhao
- Key Laboratory of Medical Virology, Ministry of Health, National Institute for Viral Disease Control and Prevention, China CDC, Beijing 102206, China
| | - Zhengde Xie
- Key Laboratory of Major Diseases in Children and National Key Discipline of Pediatrics Capital Medical University, Ministry of Education, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, Beijing 100045, China
| | - Jun Shen
- Children Hospital of Fudan University, Shanghai 200032, China.
| | - Wenjie Tan
- Key Laboratory of Medical Virology, Ministry of Health, National Institute for Viral Disease Control and Prevention, China CDC, Beijing 102206, China.
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Reina J, Iñigo A, Murillas J. Infecciones respiratorias agudas por bocavirus humanos en la población adulta ¿una rareza? Med Clin (Barc) 2016; 146:182-3. [DOI: 10.1016/j.medcli.2015.05.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2015] [Revised: 05/06/2015] [Accepted: 05/07/2015] [Indexed: 11/16/2022]
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Martins Júnior RB, Carney S, Goldemberg D, Bonine L, Spano LC, Siqueira M, Checon RE. Detection of respiratory viruses by real-time polymerase chain reaction in outpatients with acute respiratory infection. Mem Inst Oswaldo Cruz 2015; 109:716-21. [PMID: 25317699 PMCID: PMC4238762 DOI: 10.1590/0074-0276140046] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2014] [Accepted: 07/31/2014] [Indexed: 11/22/2022] Open
Abstract
Viruses are the major contributors to the morbidity and mortality of upper and lower acute respiratory infections (ARIs) for all age groups. The aim of this study was to determine the frequencies for a large range of respiratory viruses using a sensitive molecular detection technique in specimens from outpatients of all ages with ARIs. Nasopharyngeal aspirates were obtained from 162 individuals between August 2007-August 2009. Twenty-three pathogenic respiratory agents, 18 respiratory viruses and five bacteria were investigated using multiplex real-time reverse transcriptase polymerase chain reaction (RT-PCR) and indirect immunofluorescence assay (IIF). Through IIF, 33 (20.4%) specimens with respiratory virus were recognised, with influenza virus representing over half of the positive samples. Through a multiplex real-time RT-PCR assay, 88 (54.3%) positive samples were detected; the most prevalent respiratory viral pathogens were influenza, human rhinovirus and respiratory syncytial virus (RSV). Six cases of viral co-detection were observed, mainly involving RSV. The use of multiplex real-time RT-PCR increased the viral detection by 33.9% and revealed a larger number of respiratory viruses implicated in ARI cases, including the most recently described respiratory viruses [human bocavirus, human metapneumovirus, influenza A (H1N1) pdm09 virus, human coronavirus (HCoV) NL63 and HCoV HKU1].
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Affiliation(s)
- Ronaldo Bragança Martins Júnior
- Laboratório de Vírus Respiratórios, Núcleo de Doenças Infecciosas, Universidade Federal do Espírito Santo, Vitória, ES, Brasil
| | - Sharon Carney
- Laboratório de Vírus Respiratórios, Instituto Oswaldo Cruz, Rio de Janeiro, RJ, Brasil
| | - Daniel Goldemberg
- Laboratório de Vírus Respiratórios, Instituto Oswaldo Cruz, Rio de Janeiro, RJ, Brasil
| | - Lucas Bonine
- Laboratório Central de Saúde Pública do Espírito Santo, Vitória, ES, Brasil
| | - Liliana Cruz Spano
- Laboratório de Vírus Respiratórios, Núcleo de Doenças Infecciosas, Universidade Federal do Espírito Santo, Vitória, ES, Brasil
| | - Marilda Siqueira
- Laboratório de Vírus Respiratórios, Instituto Oswaldo Cruz, Rio de Janeiro, RJ, Brasil
| | - Rita Elizabeth Checon
- Laboratório de Vírus Respiratórios, Núcleo de Doenças Infecciosas, Universidade Federal do Espírito Santo, Vitória, ES, Brasil
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Wu JJ, Jin Y, Lin N, Xie ZP, Yu JM, Li JS, Cao CQ, Yuan XH, Song JR, Zhang J, Zhao Y, Gao XQ, Duan ZJ. Detection of human bocavirus in children with acute respiratory tract infections in Lanzhou and Nanjing, China. BIOMEDICAL AND ENVIRONMENTAL SCIENCES : BES 2014; 27:841-848. [PMID: 25374017 PMCID: PMC7134634 DOI: 10.3967/bes2014.110] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 04/20/2014] [Accepted: 07/01/2014] [Indexed: 06/04/2023]
Abstract
OBJECTIVE The aim of this study was to explore the prevalent characteristics of HBoV1 and its co-infection. METHODS PCR was used to detect HBoV1-DNA (HBoV1) and other viruses. A multivariate logistic regression model was used to explore possibility of co-detected for related viruses. RESULTS The positivity rates in Nanjing and Lanzhou were 9.38% (74/789) and 11.62% (161/1386), respectively (P>0.05). The HBoV1 positive group was younger than negative group (P<0.05). Seasonal differences were noted, with a higher frequency of infection in December and July. HBoV1-positive children [72.34% (169/235)] were co-infected with other respiratory viruses. Multifactorial analysis showed no correlations between HBoV1 and the clinical classification, region, gender, age, or treatment as an outpatient or in a hospital. Correlations were identified between HBoV1 infections with ADV (OR=1.53, 95% CI 1.03-2.28), RSV (OR=0.71, 95% CI 0.52-0.98), and IFVA (OR=1.77, 95% CI 1.00-3.13). CONCLUSION Presence of HBoV1 in nasopharyngeal aspirates did not correlate with region or gender, although the prevalence of HBoV1 was higher in younger children. There were no correlations between HBoV1 and other variables, except for the season and ADV, RSV, or IFVA infections.
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Affiliation(s)
- Jian Jun Wu
- School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, Gansu, China; National Institute for Viral Disease Control and Prevention, China CDC, Beijing 100052, China
| | - Yu Jin
- School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, Gansu, China; Nanjing Children's Hospital, Medical School of Nanjing University, Nanjing 210008, Jiangsu, China
| | - Na Lin
- National Institute for Viral Disease Control and Prevention, China CDC, Beijing 100052, China
| | - Zhi Ping Xie
- National Institute for Viral Disease Control and Prevention, China CDC, Beijing 100052, China
| | - Jie Mei Yu
- National Institute for Viral Disease Control and Prevention, China CDC, Beijing 100052, China
| | - Jin Song Li
- National Institute for Viral Disease Control and Prevention, China CDC, Beijing 100052, China
| | - Chang Qing Cao
- School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, Gansu, China; National Institute for Viral Disease Control and Prevention, China CDC, Beijing 100052, China
| | - Xin Hui Yuan
- School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, Gansu, China; National Institute for Viral Disease Control and Prevention, China CDC, Beijing 100052, China
| | - Jin Rong Song
- School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, Gansu, China; National Institute for Viral Disease Control and Prevention, China CDC, Beijing 100052, China
| | - Jing Zhang
- School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, Gansu, China; National Institute for Viral Disease Control and Prevention, China CDC, Beijing 100052, China
| | - Yang Zhao
- School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, Gansu, China; National Institute for Viral Disease Control and Prevention, China CDC, Beijing 100052, China
| | - Xiao Qian Gao
- School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, Gansu, China; National Institute for Viral Disease Control and Prevention, China CDC, Beijing 100052, China
| | - Zhao Jun Duan
- National Institute for Viral Disease Control and Prevention, China CDC, Beijing 100052, China
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Chen ZR, Mize M, Wang YQ, Yan YD, Zhu CH, Wang Y, Ji W. Clinical and epidemiological profiles of lower respiratory tract infection in hospitalized children due to human bocavirus in a subtropical area of China. J Med Virol 2014; 86:2154-62. [PMID: 24782248 PMCID: PMC7166550 DOI: 10.1002/jmv.23952] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/18/2014] [Indexed: 01/19/2023]
Abstract
Lower respiratory tract infection is a major cause of morbidity and mortality in children. Human bocavirus (HBoV) is confirmed to have an association with pediatric lower respiratory tract infection. Seasonal and meteorological factors may play a key role in the epidemiology of HBoV. The purpose of this study was to ascertain the frequency, season, and clinical characteristics of hospitalized children with HBoV infection. In addition, an evaluation of the effects of meteorological factors on the incidence of HBoV in a subtropical area in China will be conducted. Children were <14 years in age and hospitalized for lower respiratory tract infection between January 1, 2009 and December 31, 2012 in the Respiratory Disease Department at the Children's Hospital affiliated to Soochow University. Multi‐pathogens were detected in nasopharyngeal aspirate samples. The association between HBoV activity and regional meteorological conditions was analyzed. The average incidence of HBoV infection was 6.6% (502/7,626). Of the 502 HBoV positive children, the median age was 13 months (range 1–156 months). The HBoV infection rate was highest among the 7–12 months groups (12.9%, 163/1,267). Seasonal distribution of HBoV was noted during June to November, especially during the summer season (June to August). HBoV activity was associated with temperature and humidity although the lag effect between temperature and HBoV activity observed. HBoV is one of the most common viral pathogens in children with lower respiratory tract infection. HBoV infection occurs throughout the year with a peak during the summer. Temperature and humidity may affect the incidence of HBoV. J. Med. Virol. 86:2154–2162, 2014. © 2014 Wiley Periodicals, Inc.
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Affiliation(s)
- Zheng-Rong Chen
- Department of Respiratory Disease, Soochow University Affiliated Children's Hospital, Suzhou, 215003, China
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Jiang YH, Xiao CT, Yin SH, Gerber PF, Halbur PG, Opriessnig T. High prevalence and genetic diversity of porcine bocaviruses in pigs in the USA, and identification of multiple novel porcine bocaviruses. J Gen Virol 2014; 95:453-465. [DOI: 10.1099/vir.0.057042-0] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Viruses in the genus Bocavirus are associated with respiratory and enteric disease in dogs and cattle. In addition, novel porcine bocaviruses (PBoVs) have been identified in domestic and wild pigs in recent years, but are of unknown relevance to date. The objectives of this study were to determine the prevalence ra
tes and genetic diversity of PBoVs in pigs in the USA. Using newly established multiplex real-time PCR assays, 385 lung, lymph node, serum and faecal samples from pigs with various disease conditions were investigated. A high PBoV prevalence rate ranging from 21.3 to 50.8 % was identified in the investigated samples and often two or more PBoV species were detected in the same sample. Cloning and sequencing analysis of the partial non-structural protein NS1 and the capsid proteins VP1 and VP2 of DNA samples positive for PBoV groups 1 (n = 6), 2 (n = 16) and 3 (n = 42), including subgroups 3A, 3B or 3C, revealed a high genetic diversity especially for the PBoV G3 VP2 gene, whereas the PBoV group 1 VP1 gene displayed a low nucleotide polymorphism. Using primer walking, 18 partial or nearly complete genomes of PBoVs were obtained and six of the 18 nearly complete genomes represented novel PBoV species. Recombination analysis using partial NS1, VP1 and VP2 genes and the nearly complete genomes indicated possible recombination events within and between PBoVs. Further studies will be required to reveal the possible pathogenic role of these diverse PBoVs.
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Affiliation(s)
- Yong-Hou Jiang
- College of Life Science, Zhejiang Sci-Tech University, Hangzhou, PR China
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, Iowa, USA
| | - Chao-Ting Xiao
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, Iowa, USA
| | - Shuang-Hui Yin
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, Iowa, USA
| | - Priscilla F. Gerber
- Laboratório de Pesquisa em Virologia Animal, Departamento de Medicina Veterinária Preventiva, Universidade Federal de Minas Gerais, Minas Gerais, Brazil
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, Iowa, USA
| | - Patrick G. Halbur
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, Iowa, USA
| | - Tanja Opriessnig
- The Roslin Institute and The Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, UK
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, Iowa, USA
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Pogka V, Moutousi A, Kossyvakis A, Kalliaropoulos A, Sgouras DN, Giannaki M, Mentis AF. Genetic variability of human metapneumo- and bocaviruses in children with respiratory tract infections. Influenza Other Respir Viruses 2013; 8:107-15. [PMID: 24373295 PMCID: PMC4177804 DOI: 10.1111/irv.12185] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/10/2013] [Indexed: 01/28/2023] Open
Abstract
OBJECTIVES The genotypic analysis of human metapneumo-(HMPV) and boca-(HBoV) viruses circulating in Greece and their comparison to reference and other clinical strains. DESIGN Genetic analysis of representative strains over three consecutive winter seasons of the years 2005-2008. SETTING Representative positive specimens for HMPV and HBoV from paediatric patients of healthcare units and hospitals in Southern Greece with influenza-like illness or other respiratory tract infections. SAMPLE Seven to ten positive specimens for either HMPV or HBoV from each winter period. In total, 24 specimens positive for HMPV and 26 for HBoV, respectively. MAIN OUTCOME MEASURES Sequence diversity of HMPV and HBoV strains by sequencing the complete G and VP1/VP2 genes, respectively. RESULTS In total, 24 HMPV strains were found to have a 92-100% nucleotide and a 85.9-100% amino acid identity. Phylogenetic analysis based on the number of amino acid differences, revealed circulation of 4 different subclusters belonging to genetic lineage B2. Similarly, analysis of 26 HBoV strains indicated that 22 clustered within genotype St2, 2 into genotype St1 and the remaining 2 formed a third cluster derived from potential recombination between different St1 genotype strains. St2 HBoV genotype was observed throughout the whole observation period whereas St1 only during the second and the third winter period. Higher levels of heterogeneity were observed between HMPV compared to HBoV strains. CONCLUSIONS Phylogenetic analysis revealed circulation of one single lineage (B2) for HMPV viruses and predominance of St2 genotype for HBoV viruses. A possible recombination between St1 genotype strains of HBoV was observed.
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Affiliation(s)
- Vasiliki Pogka
- National Influenza Reference Laboratory of Southern Greece, Hellenic Pasteur Institute, Athens, Greece
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SHEN JUN, ZHU QIRONG, ZENG MEI, YU HUI. Detection and genome analysis of human bocavirus 1–4 from hospitalized children with acute lower respiratory tract infection and symptoms of wheezing in Shanghai. Int J Mol Med 2013; 32:1415-20. [DOI: 10.3892/ijmm.2013.1512] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2013] [Accepted: 09/13/2013] [Indexed: 11/06/2022] Open
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Abdel-Moneim AS, Kamel MM, Al-Ghamdi AS, Al-Malky MIR. Detection of bocavirus in children suffering from acute respiratory tract infections in Saudi Arabia. PLoS One 2013; 8:e55500. [PMID: 23383205 PMCID: PMC3559585 DOI: 10.1371/journal.pone.0055500] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2012] [Accepted: 12/23/2012] [Indexed: 01/19/2023] Open
Abstract
Human bocavirus (HBoV) was recently discovered in children with respiratory distress and/or diarrhea. To our knowledge, no previous study has reported the existence of bocavirus in Saudi Arabia. Swabs samples from 80 children with respiratory tract infections were examined for the presence of HBoV. Real-time polymerase chain reaction was used as a sensitive method to detect the HBoV. Direct gene sequencing was used to determine the genotype of the detected virus isolates. HBoV was detected in 22.5% of the examined patients. The NP1 partial gene sequence from all patients showed that the circulated strains were related to HBoV-1 genotype. Most of HBoV infected patients showed evidence of mixed coinfection with other viral pathogens. The current study clearly demonstrated that genetically conserved HBoV1 circulates in Saudi Arabia. Interestingly, most of the HBoV1 infected cases were associated with high rates of co-infections with other viruses.
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Complete genomes of three human bocavirus strains from children with gastroenteritis and respiratory tract illnesses in Jiangsu, China. J Virol 2013; 86:13826-7. [PMID: 23166240 DOI: 10.1128/jvi.02618-12] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Human bocavirus (HBoV) is a newly discovered parvovirus associated with acute respiratory tract illness (ARTI) and gastrointestinal illness. No previous reports indicated the presence of HBoV infection in Jiangsu Province, China. Here we report three complete genomic sequences of HBoV strains from children with gastroenteritis and respiratory tract illnesses in Jiangsu, China. Phylogenetic analysis indicated that the three HBoV strains in the present study belong to the HBoV1 lineage, where jz-42 clustered separately, forming a single branch, while zj-68 and zj-92 existed in two separate branches, clustering with several other Chinese HBoV1 strains.
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