19 results on '"Oude Munnink, B"'
Search Results
2. Tracking the international spread of SARS-CoV-2 lineages B.1.1.7 and B.1.351/501Y-V2 with grinch.
- Author
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O'Toole, Á, Hill, V, Pybus, OG, Watts, A, Bogoch, II, Khan, K, Messina, JP, COVID-19 Genomics UK (COG-UK) consortium, Network for Genomic Surveillance in South Africa (NGS-SA), Brazil-UK CADDE Genomic Network, Tegally, H, Lessells, RR, Giandhari, J, Pillay, S, Tumedi, KA, Nyepetsi, G, Kebabonye, M, Matsheka, M, Mine, M, Tokajian, S, Hassan, H, Salloum, T, Merhi, G, Koweyes, J, Geoghegan, JL, de Ligt, J, Ren, X, Storey, M, Freed, NE, Pattabiraman, C, Prasad, P, Desai, AS, Vasanthapuram, R, Schulz, TF, Steinbrück, L, Stadler, T, Swiss Viollier Sequencing Consortium, Parisi, A, Bianco, A, García de Viedma, D, Buenestado-Serrano, S, Borges, V, Isidro, J, Duarte, S, Gomes, JP, Zuckerman, NS, Mandelboim, M, Mor, O, Seemann, T, Arnott, A, Draper, J, Gall, M, Rawlinson, W, Deveson, I, Schlebusch, S, McMahon, J, Leong, L, Lim, CK, Chironna, M, Loconsole, D, Bal, A, Josset, L, Holmes, E, St George, K, Lasek-Nesselquist, E, Sikkema, RS, Oude Munnink, B, Koopmans, M, Brytting, M, Sudha Rani, V, Pavani, S, Smura, T, Heim, A, Kurkela, S, Umair, M, Salman, M, Bartolini, B, Rueca, M, Drosten, C, Wolff, T, Silander, O, Eggink, D, Reusken, C, Vennema, H, Park, A, Carrington, C, Sahadeo, N, Carr, M, Gonzalez, G, SEARCH Alliance San Diego, National Virus Reference Laboratory, SeqCOVID-Spain, Danish Covid-19 Genome Consortium (DCGC), Communicable Diseases Genomic Network (CDGN), Dutch National SARS-CoV-2 surveillance program, Division of Emerging Infectious Diseases (KDCA), de Oliveira, T, Faria, N, Rambaut, A, Kraemer, MUG, O'Toole, Á, Hill, V, Pybus, OG, Watts, A, Bogoch, II, Khan, K, Messina, JP, COVID-19 Genomics UK (COG-UK) consortium, Network for Genomic Surveillance in South Africa (NGS-SA), Brazil-UK CADDE Genomic Network, Tegally, H, Lessells, RR, Giandhari, J, Pillay, S, Tumedi, KA, Nyepetsi, G, Kebabonye, M, Matsheka, M, Mine, M, Tokajian, S, Hassan, H, Salloum, T, Merhi, G, Koweyes, J, Geoghegan, JL, de Ligt, J, Ren, X, Storey, M, Freed, NE, Pattabiraman, C, Prasad, P, Desai, AS, Vasanthapuram, R, Schulz, TF, Steinbrück, L, Stadler, T, Swiss Viollier Sequencing Consortium, Parisi, A, Bianco, A, García de Viedma, D, Buenestado-Serrano, S, Borges, V, Isidro, J, Duarte, S, Gomes, JP, Zuckerman, NS, Mandelboim, M, Mor, O, Seemann, T, Arnott, A, Draper, J, Gall, M, Rawlinson, W, Deveson, I, Schlebusch, S, McMahon, J, Leong, L, Lim, CK, Chironna, M, Loconsole, D, Bal, A, Josset, L, Holmes, E, St George, K, Lasek-Nesselquist, E, Sikkema, RS, Oude Munnink, B, Koopmans, M, Brytting, M, Sudha Rani, V, Pavani, S, Smura, T, Heim, A, Kurkela, S, Umair, M, Salman, M, Bartolini, B, Rueca, M, Drosten, C, Wolff, T, Silander, O, Eggink, D, Reusken, C, Vennema, H, Park, A, Carrington, C, Sahadeo, N, Carr, M, Gonzalez, G, SEARCH Alliance San Diego, National Virus Reference Laboratory, SeqCOVID-Spain, Danish Covid-19 Genome Consortium (DCGC), Communicable Diseases Genomic Network (CDGN), Dutch National SARS-CoV-2 surveillance program, Division of Emerging Infectious Diseases (KDCA), de Oliveira, T, Faria, N, Rambaut, A, and Kraemer, MUG
- Abstract
Late in 2020, two genetically-distinct clusters of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) with mutations of biological concern were reported, one in the United Kingdom and one in South Africa. Using a combination of data from routine surveillance, genomic sequencing and international travel we track the international dispersal of lineages B.1.1.7 and B.1.351 (variant 501Y-V2). We account for potential biases in genomic surveillance efforts by including passenger volumes from location of where the lineage was first reported, London and South Africa respectively. Using the software tool grinch (global report investigating novel coronavirus haplotypes), we track the international spread of lineages of concern with automated daily reports, Further, we have built a custom tracking website (cov-lineages.org/global_report.html) which hosts this daily report and will continue to include novel SARS-CoV-2 lineages of concern as they are detected.
- Published
- 2021
3. Genomic monitoring to understand the emergence and spread of Usutu virus in the Netherlands, 2016–2018
- Author
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Oude Munnink, B Bas, Münger, E, Nieuwenhuijse, D F, Kohl, R, van der Linden, A, Schapendonk, C M E, van der Jeugd, H, Kik, M, Rijks, J M, Reusken, C B E M, Koopmans, M, VPDC pathologie, dPB I&I, dPB CR, Animal Ecology (AnE), Dutch Centre for Avian Migration & Demography, Virology, VPDC pathologie, dPB I&I, and dPB CR
- Subjects
0301 basic medicine ,030231 tropical medicine ,Zoology ,lcsh:Medicine ,Article ,Evolutionary genetics ,Disease Outbreaks ,Flavivirus Infections ,Songbirds ,03 medical and health sciences ,0302 clinical medicine ,Animals ,Molecular clock ,lcsh:Science ,Netherlands ,Multidisciplinary ,biology ,Phylogenetic tree ,Bird Diseases ,Flavivirus ,lcsh:R ,national ,Outbreak ,biology.organism_classification ,030104 developmental biology ,Western europe ,Next-generation sequencing ,lcsh:Q ,Plan_S-Compliant_OA ,Usutu virus - Abstract
Usutu virus (USUV) is a mosquito-borne flavivirus circulating in Western Europe that causes die-offs of mainly common blackbirds (Turdus merula). In the Netherlands, USUV was first detected in 2016, when it was identified as the likely cause of an outbreak in birds. In this study, dead blackbirds were collected, screened for the presence of USUV and submitted to Nanopore-based sequencing. Genomic sequences of 112 USUV were obtained and phylogenetic analysis showed that most viruses identified belonged to the USUV Africa 3 lineage, and molecular clock analysis evaluated their most recent common ancestor to 10 to 4 years before first detection of USUV in the Netherlands. USUV Europe 3 lineage, commonly found in Germany, was less frequently detected. This analyses further suggest some extent of circulation of USUV between the Netherlands, Germany and Belgium, as well as likely overwintering of USUV in the Netherlands.
- Published
- 2020
4. Genomic monitoring to understand the emergence and spread of Usutu virus in the Netherlands, 2016–2018
- Author
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Oude Munnink, B. Bas, Münger, E., Nieuwenhuijse, D. F., Kohl, R., van der Linden, A., Schapendonk, C. M. E., van der Jeugd, H., Kik, M., Rijks, J. M., Reusken, C. B. E. M., Koopmans, M., Oude Munnink, B. Bas, Münger, E., Nieuwenhuijse, D. F., Kohl, R., van der Linden, A., Schapendonk, C. M. E., van der Jeugd, H., Kik, M., Rijks, J. M., Reusken, C. B. E. M., and Koopmans, M.
- Abstract
Usutu virus (USUV) is a mosquito-borne flavivirus circulating in Western Europe that causes die-offs of mainly common blackbirds (Turdus merula). In the Netherlands, USUV was first detected in 2016, when it was identified as the likely cause of an outbreak in birds. In this study, dead blackbirds were collected, screened for the presence of USUV and submitted to Nanopore-based sequencing. Genomic sequences of 112 USUV were obtained and phylogenetic analysis showed that most viruses identified belonged to the USUV Africa 3 lineage, and molecular clock analysis evaluated their most recent common ancestor to 10 to 4 years before first detection of USUV in the Netherlands. USUV Europe 3 lineage, commonly found in Germany, was less frequently detected. This analyses further suggest some extent of circulation of USUV between the Netherlands, Germany and Belgium, as well as likely overwintering of USUV in the Netherlands.
- Published
- 2020
5. Genomic monitoring to understand the emergence and spread of Usutu virus in the Netherlands, 2016-2018
- Author
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VPDC pathologie, dPB I&I, dPB CR, Oude Munnink, B Bas, Münger, E, Nieuwenhuijse, D F, Kohl, R, van der Linden, A, Schapendonk, C M E, van der Jeugd, H, Kik, M, Rijks, J M, Reusken, C B E M, Koopmans, M, VPDC pathologie, dPB I&I, dPB CR, Oude Munnink, B Bas, Münger, E, Nieuwenhuijse, D F, Kohl, R, van der Linden, A, Schapendonk, C M E, van der Jeugd, H, Kik, M, Rijks, J M, Reusken, C B E M, and Koopmans, M
- Published
- 2020
6. Metagenomics in virus discovery
- Author
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Jazaeri Farsani, S. M., Oude Munnink, B. B., Deijs, M., Canuti, M., and van der Hoek, L.
- Published
- 2013
- Full Text
- View/download PDF
7. Towards high quality real-time whole genome sequencing during outbreaks using Usutu virus as example
- Author
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Oude Munnink, B. B., Kik, M., de Bruijn, N. D., Kohl, R., van der Linden, A., Reusken, C. B.E.M., Koopmans, M., dPB I&I, dPB CR, Veterinair Pathologisch Diagnostisch Cnt, Sub Physics Education, Virology, dPB I&I, dPB CR, Veterinair Pathologisch Diagnostisch Cnt, and Sub Physics Education
- Subjects
0301 basic medicine ,Microbiology (medical) ,Nanopore ,viruses ,030106 microbiology ,Computational biology ,Genome, Viral ,Biology ,medicine.disease_cause ,Real-Time Polymerase Chain Reaction ,Microbiology ,Zika virus ,Disease Outbreaks ,Flavivirus Infections ,03 medical and health sciences ,Genetics ,medicine ,Sequencing ,Animals ,Molecular Biology ,Ecology, Evolution, Behavior and Systematics ,Illumina dye sequencing ,Phylogeny ,Whole genome sequencing ,Ebola virus ,Whole Genome Sequencing ,Bird Diseases ,Flavivirus ,Genomics ,Amplicon ,biology.organism_classification ,Strigiformes ,USUV ,030104 developmental biology ,Infectious Diseases ,Minion ,Nanopore sequencing ,Usutu virus ,Multiplex Polymerase Chain Reaction ,Arboviruses - Abstract
Recently, protocols for amplicon based whole genome sequencing using Nanopore technology have been described for Ebola virus, Zika virus, yellow fever virus and West Nile virus. However, there is some debate regarding reliability of sequencing using this technology, which is important for applications beyond diagnosis such as linking lineages to outbreaks, tracking transmission pathways and pockets of circulation, or mapping specific markers. To our knowledge, no in depth analyses of the required read coverage to compensate for the error profile in Nanopore sequencing have been described. Here, we describe the validation of a protocol for whole genome sequencing of USUV using Nanopore sequencing by direct comparison to Illumina sequencing. To that point we selected brain tissue samples with high viral loads, typical for birds which died from USUV infection. We conclude that the low-cost MinION Nanopore sequencing platform can be used for characterization and tracking of Usutu virus outbreaks.
- Published
- 2019
8. Towards high quality real-time whole genome sequencing during outbreaks using Usutu virus as example
- Author
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dPB I&I, dPB CR, Veterinair Pathologisch Diagnostisch Cnt, Sub Physics Education, Oude Munnink, B. B., Kik, M., de Bruijn, N. D., Kohl, R., van der Linden, A., Reusken, C. B.E.M., Koopmans, M., dPB I&I, dPB CR, Veterinair Pathologisch Diagnostisch Cnt, Sub Physics Education, Oude Munnink, B. B., Kik, M., de Bruijn, N. D., Kohl, R., van der Linden, A., Reusken, C. B.E.M., and Koopmans, M.
- Published
- 2019
9. Influenza and other respiratory viruses involved in severe acute respiratory disease in northern Italy during the pandemic and postpandemic period (2009-2011)
- Author
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Pariani, E, Martinelli, M, Canuti, M, Jazaeri Farsani, S, Oude Munnink, B, Deijs, M, Tanzi, E, Zanetti, A, Van Der Hoek, L, Amendola, A, Amendola, A., MARTINELLI, MARIANNA, Pariani, E, Martinelli, M, Canuti, M, Jazaeri Farsani, S, Oude Munnink, B, Deijs, M, Tanzi, E, Zanetti, A, Van Der Hoek, L, Amendola, A, Amendola, A., and MARTINELLI, MARIANNA
- Abstract
Since 2009 pandemic, international health authorities recommended monitoring severe and complicated cases of respiratory disease, that is, severe acute respiratory infection (SARI) and acute respiratory distress syndrome (ARDS). We evaluated the proportion of SARI/ARDS cases and deaths due to influenza A(H1N1)pdm09 infection and the impact of other respiratory viruses during pandemic and postpandemic period (2009-2011) in northern Italy; additionally we searched for unknown viruses in those cases for which diagnosis remained negative. 206 respiratory samples were collected from SARI/ARDS cases and analyzed by real-time RT-PCR/PCR to investigate influenza viruses and other common respiratory pathogens; also, a virus discovery technique (VIDISCA-454) was applied on those samples tested negative to all pathogens. Influenza A(H1N1)pdm09 virus was detected in 58.3% of specimens, with a case fatality rate of 11.3%. The impact of other respiratory viruses was 19.4%, and the most commonly detected viruses were human rhinovirus/enterovirus and influenza A(H3N2). VIDISCA-454 enabled the identification of one previously undiagnosed measles infection. Nearly 22% of SARI/ARDS cases did not obtain a definite diagnosis. In clinical practice, great efforts should be dedicated to improving the diagnosis of severe respiratory disease; the introduction of innovative molecular technologies, as VIDISCA-454, will certainly help in reducing such "diagnostic gap." © 2014 Elena Pariani et al
- Published
- 2014
10. Influenza and other respiratory viruses involved in severe acute respiratory disease in northern Italy during the pandemic and postpandemic period (2009-2011)
- Author
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Alessandro Zanetti, Elena Pariani, Elisabetta Tanzi, Bas B. Oude Munnink, Seyed Mohammad Jazaeri Farsani, Marta Canuti, Martin Deijs, Marianna Martinelli, Lia van der Hoek, Antonella Amendola, Pariani, E, Martinelli, M, Canuti, M, Jazaeri Farsani, S, Oude Munnink, B, Deijs, M, Tanzi, E, Zanetti, A, Van Der Hoek, L, Amendola, A, Medical Microbiology and Infection Prevention, Other departments, and Amsterdam institute for Infection and Immunity
- Subjects
Adult ,Male ,medicine.medical_specialty ,ARDS ,Article Subject ,Adolescent ,Immunology and Microbiology (all) ,viruses ,lcsh:Medicine ,medicine.disease_cause ,Measles ,General Biochemistry, Genetics and Molecular Biology ,Influenza A Virus, H1N1 Subtype ,Internal medicine ,Case fatality rate ,Pandemic ,Influenza, Human ,medicine ,Humans ,Child ,Pandemics ,Respiratory Distress Syndrome ,Biochemistry, Genetics and Molecular Biology (all) ,General Immunology and Microbiology ,business.industry ,Respiratory disease ,lcsh:R ,General Medicine ,Middle Aged ,medicine.disease ,Virology ,3. Good health ,Italy ,Human mortality from H5N1 ,Enterovirus ,Female ,Seasons ,Rhinovirus ,business ,Research Article - Abstract
Since 2009 pandemic, international health authorities recommended monitoring severe and complicated cases of respiratory disease, that is, severe acute respiratory infection (SARI) and acute respiratory distress syndrome (ARDS). We evaluated the proportion of SARI/ARDS cases and deaths due to influenza A(H1N1)pdm09 infection and the impact of other respiratory viruses during pandemic and postpandemic period (2009-2011) in northern Italy; additionally we searched for unknown viruses in those cases for which diagnosis remained negative. 206 respiratory samples were collected from SARI/ARDS cases and analyzed by real-time RT-PCR/PCR to investigate influenza viruses and other common respiratory pathogens; also, a virus discovery technique (VIDISCA-454) was applied on those samples tested negative to all pathogens. Influenza A(H1N1)pdm09 virus was detected in 58.3% of specimens, with a case fatality rate of 11.3%. The impact of other respiratory viruses was 19.4%, and the most commonly detected viruses were human rhinovirus/enterovirus and influenza A(H3N2). VIDISCA-454 enabled the identification of one previously undiagnosed measles infection. Nearly 22% of SARI/ARDS cases did not obtain a definite diagnosis. In clinical practice, great efforts should be dedicated to improving the diagnosis of severe respiratory disease; the introduction of innovative molecular technologies, as VIDISCA-454, will certainly help in reducing such "diagnostic gap." © 2014 Elena Pariani et al
- Published
- 2014
- Full Text
- View/download PDF
11. Mobilisation and analyses of publicly available SARS-CoV-2 data for pandemic responses.
- Author
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Rahman N, O'Cathail C, Zyoud A, Sokolov A, Oude Munnink B, Grüning B, Cummins C, Amid C, Nieuwenhuijse DF, Visontai D, Yuan DY, Gupta D, Prasad DK, Gulyás GM, Rinck G, McKinnon J, Rajan J, Knaggs J, Skiby JE, Stéger J, Szarvas J, Gueye K, Papp K, Hoek M, Kumar M, Ventouratou MA, Bouquieaux MC, Koliba M, Mansurova M, Haseeb M, Worp N, Harrison PW, Leinonen R, Thorne R, Selvakumar S, Hunt S, Venkataraman S, Jayathilaka S, Cezard T, Maier W, Waheed Z, Iqbal Z, Aarestrup FM, Csabai I, Koopmans M, Burdett T, and Cochrane G
- Subjects
- Humans, Pandemics, Genomics, Information Dissemination, SARS-CoV-2 genetics, COVID-19 epidemiology
- Abstract
The COVID-19 pandemic has seen large-scale pathogen genomic sequencing efforts, becoming part of the toolbox for surveillance and epidemic research. This resulted in an unprecedented level of data sharing to open repositories, which has actively supported the identification of SARS-CoV-2 structure, molecular interactions, mutations and variants, and facilitated vaccine development and drug reuse studies and design. The European COVID-19 Data Platform was launched to support this data sharing, and has resulted in the deposition of several million SARS-CoV-2 raw reads. In this paper we describe (1) open data sharing, (2) tools for submission, analysis, visualisation and data claiming (e.g. ORCiD), (3) the systematic analysis of these datasets, at scale via the SARS-CoV-2 Data Hubs as well as (4) lessons learnt. This paper describes a component of the Platform, the SARS-CoV-2 Data Hubs, which enable the extension and set up of infrastructure that we intend to use more widely in the future for pathogen surveillance and pandemic preparedness.
- Published
- 2024
- Full Text
- View/download PDF
12. Sotrovimab Resistance and Viral Persistence After Treatment of Immunocompromised Patients Infected With the Severe Acute Respiratory Syndrome Coronavirus 2 Omicron Variant.
- Author
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Huygens S, Oude Munnink B, Gharbharan A, Koopmans M, and Rijnders B
- Subjects
- Humans, Immunocompromised Host, SARS-CoV-2, COVID-19
- Abstract
Viral evolution was evaluated in 47 immunocompromised patients treated with sotrovimab. Sequencing of SARS-CoV-2 following therapy was successful in 16. Mutations associated with sotrovimab resistance were documented in 6; viral replication continued after 30 days in 5. Combination antibody therapy may be required to avoid acquired resistance in immunocompromised patients., Competing Interests: Potential conflicts of interest. B. R. received travel support from Pfizer and participated on data and safety monitoring boards or advisory boards for Exevir, AstraZeneca, and Roche. All other authors report no potential conflicts. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed., (© The Author(s) 2022. Published by Oxford University Press on behalf of Infectious Diseases Society of America.)
- Published
- 2023
- Full Text
- View/download PDF
13. Tracking the international spread of SARS-CoV-2 lineages B.1.1.7 and B.1.351/501Y-V2 with grinch.
- Author
-
O'Toole Á, Hill V, Pybus OG, Watts A, Bogoch II, Khan K, Messina JP, Tegally H, Lessells RR, Giandhari J, Pillay S, Tumedi KA, Nyepetsi G, Kebabonye M, Matsheka M, Mine M, Tokajian S, Hassan H, Salloum T, Merhi G, Koweyes J, Geoghegan JL, de Ligt J, Ren X, Storey M, Freed NE, Pattabiraman C, Prasad P, Desai AS, Vasanthapuram R, Schulz TF, Steinbrück L, Stadler T, Parisi A, Bianco A, García de Viedma D, Buenestado-Serrano S, Borges V, Isidro J, Duarte S, Gomes JP, Zuckerman NS, Mandelboim M, Mor O, Seemann T, Arnott A, Draper J, Gall M, Rawlinson W, Deveson I, Schlebusch S, McMahon J, Leong L, Lim CK, Chironna M, Loconsole D, Bal A, Josset L, Holmes E, St George K, Lasek-Nesselquist E, Sikkema RS, Oude Munnink B, Koopmans M, Brytting M, Sudha Rani V, Pavani S, Smura T, Heim A, Kurkela S, Umair M, Salman M, Bartolini B, Rueca M, Drosten C, Wolff T, Silander O, Eggink D, Reusken C, Vennema H, Park A, Carrington C, Sahadeo N, Carr M, Gonzalez G, de Oliveira T, Faria N, Rambaut A, and Kraemer MUG
- Abstract
Late in 2020, two genetically-distinct clusters of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) with mutations of biological concern were reported, one in the United Kingdom and one in South Africa. Using a combination of data from routine surveillance, genomic sequencing and international travel we track the international dispersal of lineages B.1.1.7 and B.1.351 (variant 501Y-V2). We account for potential biases in genomic surveillance efforts by including passenger volumes from location of where the lineage was first reported, London and South Africa respectively. Using the software tool grinch (global report investigating novel coronavirus haplotypes), we track the international spread of lineages of concern with automated daily reports, Further, we have built a custom tracking website (cov-lineages.org/global_report.html) which hosts this daily report and will continue to include novel SARS-CoV-2 lineages of concern as they are detected., Competing Interests: No competing interests were disclosed., (Copyright: © 2021 O'Toole Á et al.)
- Published
- 2021
- Full Text
- View/download PDF
14. Transmission of SARS-CoV-2 among healthcare workers and patients in a teaching hospital in the Netherlands confirmed by whole-genome sequencing.
- Author
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Paltansing S, Sikkema RS, de Man SJ, Koopmans MPG, Oude Munnink BB, and de Man P
- Subjects
- Adult, Aged, Aged, 80 and over, COVID-19 epidemiology, Cohort Studies, Female, Humans, Male, Middle Aged, Netherlands epidemiology, Pandemics statistics & numerical data, COVID-19 transmission, Health Personnel statistics & numerical data, Hospitals, Teaching statistics & numerical data, Infectious Disease Transmission, Patient-to-Professional statistics & numerical data, Inpatients statistics & numerical data, SARS-CoV-2 genetics, SARS-CoV-2 isolation & purification
- Abstract
Aim: To investigate the sources of infection among healthcare workers (HCWs) and patients in a teaching hospital in the Netherlands during the early stages of the coronavirus disease 2019 (COVID-19) pandemic using epidemiological and whole-genome sequencing data., Methods: From 3
rd April to 11th May 2020, 88 HCWs and 215 patients were diagnosed with COVID-19. Whole-genome sequences were obtained for 30 HCWs and 20 patients., Results: Seven and 11 sequence types were identified in HCWs and patients, respectively. Cluster A was the most common sequence type, detected in 23 (77%) HCWs; of these, 14 (61%) had direct patient contact and nine (39%) had indirect patient contact. In addition, seven patients who were not hospitalized in the COVID-19 cohort isolation ward who became positive during their admission were infected with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) cluster A. Following universal masking of all HCWs and emphasis on physical distancing during meals and breaks, no further evidence was found for patient-to-HCW or HCW-to-HCW transmission or vice versa., Conclusion: The finding that patients and HCWs were infected with SARS-CoV-2 cluster A suggests both HCW-to-HCW and HCW-to-patient transmission., (Copyright © 2021 The Healthcare Infection Society. Published by Elsevier Ltd. All rights reserved.)- Published
- 2021
- Full Text
- View/download PDF
15. Erratum for Sooksawasdi Na Ayudhya et al., "Enhanced Enterovirus D68 Replication in Neuroblastoma Cells Is Associated with a Cell Culture-Adaptive Amino Acid Substitution in VP1".
- Author
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Sooksawasdi Na Ayudhya S, Meijer A, Bauer L, Oude Munnink B, Embregts C, Leijten L, Siegers JY, Laksono BM, van Kuppeveld F, Kuiken T, GeurtsvanKessel C, and van Riel D
- Published
- 2020
- Full Text
- View/download PDF
16. Enhanced Enterovirus D68 Replication in Neuroblastoma Cells Is Associated with a Cell Culture-Adaptive Amino Acid Substitution in VP1.
- Author
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Sooksawasdi Na Ayudhya S, Meijer A, Bauer L, Oude Munnink B, Embregts C, Leijten L, Siegers JY, Laksono BM, van Kuppeveld F, Kuiken T, Geurts-van Kessel C, and van Riel D
- Subjects
- Capsid Proteins chemistry, Cell Culture Techniques, Cell Line, Tumor, Enterovirus D, Human classification, Enterovirus D, Human genetics, Enterovirus Infections virology, Humans, Kinetics, Neuroblastoma, Virus Internalization, Amino Acid Substitution, Capsid Proteins genetics, Enterovirus D, Human physiology, Neural Stem Cells virology, Virus Replication
- Abstract
Since its emergence in the United States in 2014, enterovirus D68 (EV-D68) has been and is associated with severe respiratory diseases and acute flaccid myelitis. Even though EV-D68 has been shown to replicate in different neuronal cells in vitro , it is currently poorly understood which viral factors contribute to the ability to replicate efficiently in cells of the central nervous system and whether this feature is a clade-specific feature. Here, we determined the replication kinetics of clinical EV-D68 isolates from (sub)clades A, B1, B2, B3, and D1 in human neuroblastoma cells (SK-N-SH). Subsequently, we compared sequences to identify viral factors associated with increased viral replication. All clinical isolates replicated in SK-N-SH cells, although there was a large difference in efficiency. Efficient replication of clinical isolates was associated with an amino acid substitution at position 271 of VP1 (E271K), which was acquired during virus propagation in vitro Recognition of heparan sulfate in addition to sialic acids was associated with increased attachment, infection, and replication. Removal of heparan sulfate resulted in a decrease in attachment, internalization, and replication of viruses with E271K. Taken together, our study suggests that the replication kinetics of EV-D68 isolates in SK-N-SH cells is not a clade-specific feature. However, recognition of heparan sulfate as an additional receptor had a large effect on phenotypic characteristics in vitro. These observations emphasize the need to compare sequences from virus stocks with clinical isolates in order to retrieve phenotypic characteristics from original virus isolates. IMPORTANCE Enterovirus D68 (EV-D68) causes mild to severe respiratory disease and is associated with acute flaccid myelitis since 2014. Currently, the understanding of the ability of EV-D68 to replicate in the central nervous system (CNS), and whether it is associated with a specific clade of EV-D68 viruses or specific viral factors, is lacking. Comparing different EV-D68 clades did not reveal clade-specific phenotypic characteristics. However, we did show that viruses which acquired a cell culture-adapted amino acid substitution in VP1 (E271K) recognized heparan sulfate as an additional receptor. Recognition of heparan sulfate resulted in an increase in attachment, infection, and replication in neuroblastoma cells compared with viruses without this specific amino acid substitution. The ability of EV-D68 viruses to acquire cell culture-adaptive substitutions which have a large effect in experimental settings emphasizes the need to sequence virus stocks., (Copyright © 2020 Sooksawasdi Na Ayudhya et al.)
- Published
- 2020
- Full Text
- View/download PDF
17. Genomic monitoring to understand the emergence and spread of Usutu virus in the Netherlands, 2016-2018.
- Author
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Oude Munnink BB, Münger E, Nieuwenhuijse DF, Kohl R, van der Linden A, Schapendonk CME, van der Jeugd H, Kik M, Rijks JM, Reusken CBEM, and Koopmans M
- Subjects
- Animals, Bird Diseases epidemiology, Flavivirus isolation & purification, Flavivirus Infections epidemiology, Flavivirus Infections virology, Netherlands epidemiology, Bird Diseases virology, Disease Outbreaks veterinary, Flavivirus genetics, Flavivirus Infections veterinary, Songbirds virology
- Abstract
Usutu virus (USUV) is a mosquito-borne flavivirus circulating in Western Europe that causes die-offs of mainly common blackbirds (Turdus merula). In the Netherlands, USUV was first detected in 2016, when it was identified as the likely cause of an outbreak in birds. In this study, dead blackbirds were collected, screened for the presence of USUV and submitted to Nanopore-based sequencing. Genomic sequences of 112 USUV were obtained and phylogenetic analysis showed that most viruses identified belonged to the USUV Africa 3 lineage, and molecular clock analysis evaluated their most recent common ancestor to 10 to 4 years before first detection of USUV in the Netherlands. USUV Europe 3 lineage, commonly found in Germany, was less frequently detected. This analyses further suggest some extent of circulation of USUV between the Netherlands, Germany and Belgium, as well as likely overwintering of USUV in the Netherlands.
- Published
- 2020
- Full Text
- View/download PDF
18. Towards high quality real-time whole genome sequencing during outbreaks using Usutu virus as example.
- Author
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Oude Munnink BB, Kik M, de Bruijn ND, Kohl R, van der Linden A, Reusken CBEM, and Koopmans M
- Subjects
- Animals, Disease Outbreaks, Multiplex Polymerase Chain Reaction, Phylogeny, Real-Time Polymerase Chain Reaction, Whole Genome Sequencing, Bird Diseases epidemiology, Bird Diseases virology, Flavivirus genetics, Flavivirus Infections veterinary, Genome, Viral, Genomics methods, Strigiformes virology
- Abstract
Recently, protocols for amplicon based whole genome sequencing using Nanopore technology have been described for Ebola virus, Zika virus, yellow fever virus and West Nile virus. However, there is some debate regarding reliability of sequencing using this technology, which is important for applications beyond diagnosis such as linking lineages to outbreaks, tracking transmission pathways and pockets of circulation, or mapping specific markers. To our knowledge, no in depth analyses of the required read coverage to compensate for the error profile in Nanopore sequencing have been described. Here, we describe the validation of a protocol for whole genome sequencing of USUV using Nanopore sequencing by direct comparison to Illumina sequencing. To that point we selected brain tissue samples with high viral loads, typical for birds which died from USUV infection. We conclude that the low-cost MinION Nanopore sequencing platform can be used for characterization and tracking of Usutu virus outbreaks., (Copyright © 2019. Published by Elsevier B.V.)
- Published
- 2019
- Full Text
- View/download PDF
19. Full genome virus detection in fecal samples using sensitive nucleic acid preparation, deep sequencing, and a novel iterative sequence classification algorithm.
- Author
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Cotten M, Oude Munnink B, Canuti M, Deijs M, Watson SJ, Kellam P, and van der Hoek L
- Subjects
- Adolescent, Algorithms, DNA Barcoding, Taxonomic methods, HIV Infections diagnosis, HIV Infections genetics, HIV-1 genetics, High-Throughput Nucleotide Sequencing methods, Humans, Sequence Analysis, DNA methods, Feces chemistry, Genome, Viral genetics, Nucleic Acids genetics
- Abstract
We have developed a full genome virus detection process that combines sensitive nucleic acid preparation optimised for virus identification in fecal material with Illumina MiSeq sequencing and a novel post-sequencing virus identification algorithm. Enriched viral nucleic acid was converted to double-stranded DNA and subjected to Illumina MiSeq sequencing. The resulting short reads were processed with a novel iterative Python algorithm SLIM for the identification of sequences with homology to known viruses. De novo assembly was then used to generate full viral genomes. The sensitivity of this process was demonstrated with a set of fecal samples from HIV-1 infected patients. A quantitative assessment of the mammalian, plant, and bacterial virus content of this compartment was generated and the deep sequencing data were sufficient to assembly 12 complete viral genomes from 6 virus families. The method detected high levels of enteropathic viruses that are normally controlled in healthy adults, but may be involved in the pathogenesis of HIV-1 infection and will provide a powerful tool for virus detection and for analyzing changes in the fecal virome associated with HIV-1 progression and pathogenesis.
- Published
- 2014
- Full Text
- View/download PDF
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