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Gong YN, Tsao KC, Chen GW. Corrigendum to "Inferring the global phylodynamics of influenza A/H3N2 viruses in Taiwan" [J Formos Med Assoc 118 (2019) 116-124]. J Formos Med Assoc 2024; 123:299. [PMID: 38307798 DOI: 10.1016/j.jfma.2024.01.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2024] Open
Affiliation(s)
- Yu-Nong Gong
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Kuo-Chien Tsao
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan; Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Guang-Wu Chen
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan; Department of Computer Science and Information Engineering, School of Electrical and Computer Engineering, College of Engineering, Chang Gung University, Taoyuan, Taiwan.
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Gong YN, Yang SL, Chen YC, Liu YC, Huang YC, Tsao KC. Novel intertypic recombination of Echovirus 11 in the Enterovirus species B. J Med Virol 2024; 96:e29323. [PMID: 38164047 DOI: 10.1002/jmv.29323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Revised: 11/27/2023] [Accepted: 12/02/2023] [Indexed: 01/03/2024]
Abstract
Enteroviruses (EVs), single-stranded, positive-sense RNA viruses, can be classified into four species (A-D), which have previously been linked to a diverse range of disease manifestations and infections affecting the central nervous system. In the Enterovirus species B (EV-B), Echovirus type 11 (E11) has been observed to occasionally circulate in Taiwan, which was responsible for an epidemic of enterovirus infections in 2018. Here, 48 clinical specimens isolated in 2003, 2004, 2009, and 2018 were collected for the high-throughput sequencing. Notably, we identified 2018 Taiwanese strains having potential recombinations in the 3D gene, as well as one 2003 strain having a double recombination with E6 and Coxsackievirus B5 in the P2 and P3 regions, respectively. Additionally, one amino acid signature mutated from the Histidine (H) in throat swab specimens to the Tyrosine (Y) in cerebral spinal fluid specimens was detected at position 1496 (or 57) of the genomic coordinate (or 3A gene) to further demonstrate intra-host evolution in different organs. In conclusion, this study identifies potential intertypic recombination events and an intra-host signature mutation in E11 strains, isolated during a 2018 neurological disease outbreak in Taiwan, contributing to our understanding of its evolution and pathogenesis.
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Affiliation(s)
- Yu-Nong Gong
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- International Master Degree Program for Molecular Medicine in Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- National Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Zhunan, Taiwan
| | - Shu-Li Yang
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Yi-Ching Chen
- Department of Pediatrics, Division of Pediatric Infectious Diseases, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- School of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Yi-Chun Liu
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Yhu-Chering Huang
- Department of Pediatrics, Division of Pediatric Infectious Diseases, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- School of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Kuo-Chien Tsao
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
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Fall A, Han L, Yunker M, Gong YN, Li TJ, Norton JM, Abdullah O, Rothman RE, Fenstermacher KZJ, Morris CP, Pekosz A, Klein E, Mostafa HH. Evolution of Influenza A(H3N2) Viruses in 2 Consecutive Seasons of Genomic Surveillance, 2021-2023. Open Forum Infect Dis 2023; 10:ofad577. [PMID: 38088981 PMCID: PMC10715682 DOI: 10.1093/ofid/ofad577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 11/15/2023] [Indexed: 12/30/2023] Open
Abstract
Background The circulation and the genomic evolution of influenza A(H3N2) viruses during the 2021/2022 and 2022/2023 seasons were studied and associated with infection outcomes. Methods Remnant influenza A-positive samples following standard-of-care testing from patients across the Johns Hopkins Health System (JHHS) were used for the study. Samples were randomly selected for whole viral genome sequencing. The sequence-based pEpitope model was used to estimate the predicted vaccine efficacy (pVE) for circulating H3N2 viruses. Clinical data were collected and associated with viral genomic data. Results A total of 121 683 respiratory specimens were tested for influenza at JHHS between 1 September 2021 and 31 December 2022. Among them, 6071 (4.99%) tested positive for influenza A. Of these, 805 samples were randomly selected for sequencing, with hemagglutinin (HA) segments characterized for 610 samples. Among the characterized samples, 581 were H3N2 (95.2%). Phylogenetic analysis of HA segments revealed the exclusive circulation of H3N2 viruses with HA segments of the 3C.2a1b.2a.2 clade. Analysis of a total of 445 complete H3N2 genomes revealed reassortments; 200 of 227 of the 2022/2023 season genomes (88.1%) were found to have reassorted with clade 3C.2a1b.1a. The pVE was estimated to be -42.53% for the 2021/2022 season and 30.27% for the 2022/2023 season. No differences in clinical presentations or admissions were observed between the 2 seasons. Conclusions The increased numbers of cases and genomic diversity of influenza A(H3N2) during the 2022/2023 season were not associated with a change in disease severity compared to the previous influenza season.
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Affiliation(s)
- Amary Fall
- Division of Medical Microbiology, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Lijie Han
- Division of Medical Microbiology, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Madeline Yunker
- Division of Medical Microbiology, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Yu-Nong Gong
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- International Master Degree Program for Molecular Medicine in Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- National Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Zhunan, Taiwan
| | - Tai-Jung Li
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- International Master Degree Program for Molecular Medicine in Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Julie M Norton
- Division of Medical Microbiology, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Omar Abdullah
- Division of Medical Microbiology, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Richard E Rothman
- Department of Emergency Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | | | - C Paul Morris
- Division of Medical Microbiology, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
- Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, Maryland, USA
| | - Andrew Pekosz
- Department of Emergency Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
- W.Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Eili Klein
- Department of Emergency Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
- Center for Disease Dynamics, Economics, and Policy, Washington, District of Columbia, USA
| | - Heba H Mostafa
- Division of Medical Microbiology, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
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Yang CR, Chang SY, Gong YN, Huang CG, Tung TH, Liu W, Chan TC, Hung KS, Shang HS, Tsai JJ, Kao CL, Wu HL, Daisy Liu LY, Lin WY, Fan YC, King CC, Ku CC. The emergence and successful elimination of SARS-CoV-2 dominant strains with increasing epidemic potential in Taiwan's 2021 outbreak. Heliyon 2023; 9:e22436. [PMID: 38107297 PMCID: PMC10724543 DOI: 10.1016/j.heliyon.2023.e22436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Revised: 11/10/2023] [Accepted: 11/13/2023] [Indexed: 12/19/2023] Open
Abstract
Taiwan's experience with severe acute respiratory syndrome coronavirus (SARS-CoV) in 2003 guided its development of strategies to defend against SARS-CoV-2 in 2020, which enabled the successful control of Coronavirus disease 2019 (COVID-19) cases from 2020 through March 2021. However, in late-April 2021, the imported Alpha variant began to cause COVID-19 outbreaks at an exceptional rate in Taiwan. In this study, we aimed to determine what epidemiological conditions enabled the SARS-CoV-2 Alpha variant strains to become dominant and decline later during a surge in the outbreak. In conjunction with contact-tracing investigations, we used our bioinformatics software, CoVConvert and IniCoV, to analyze whole-genome sequences of 101 Taiwan Alpha strains. Univariate and multivariable regression analyses revealed the epidemiological factors associated with viral dominance. Univariate analysis showed the dominant Alpha strains were preferentially selected in the surge's epicenter (p = 0.0024) through intensive human-to-human contact and maintained their dominance for 1.5 months until the Zero-COVID Policy was implemented. Multivariable regression found that the epidemic periods (p = 0.007) and epicenter (p = 0.001) were two significant factors associated with the dominant virus strains spread in the community. These dominant virus strains emerged at the outbreak's epicenter with frequent human-to-human contact and low vaccination coverage. The Level 3 Restrictions and Zero-COVID policy successfully controlled the outbreak in the community without city lockdowns. Our integrated method can identify the epidemiological conditions for emerging dominant virus with increasing epidemiological potential and support decision makers in rapidly containing outbreaks using public health measures that target fast-spreading virus strains.
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Affiliation(s)
- Chin-Rur Yang
- Graduate Institute of Immunology, College of Medicine, National Taiwan University, 1 Jen-Ai Road Section 1, Taipei, 10051, Taiwan, ROC
| | - Sui-Yuan Chang
- Department (Dept.) of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, 10051, Taiwan, ROC
- Dept. of Laboratory Medicine, National Taiwan University Hospital, Taipei, 10051, Taiwan, ROC
| | - Yu-Nong Gong
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, 33302, Taiwan, ROC
- Dept. of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, 33302, Taiwan, ROC
| | - Chung-Guei Huang
- Dept. of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, 33302, Taiwan, ROC
- Dept. of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, 33302, Taiwan, ROC
| | - Tsung-Hua Tung
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, NTU 17 Xu-Zhou Road, Taipei, 10055, Taiwan, ROC
- Dept. of Health, Taipei City Government, Taipei, Taiwan, ROC
| | - Wei Liu
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, NTU 17 Xu-Zhou Road, Taipei, 10055, Taiwan, ROC
| | - Ta-Chien Chan
- Research Center for Humanities and Social Sciences, Academia Sinica, Taipei, 11529, Taiwan, ROC
| | - Kuo-Sheng Hung
- Center for Precision Medicine and Genomics, Tri-Service General Hospital, National Defense Medical Center, Taipei, 11490, Taiwan, ROC
| | - Hung-Sheng Shang
- Division of Clinical Pathology, Dept. of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, 11490, Taiwan, ROC
| | - Jih-Jin Tsai
- School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, 80708, Taiwan, ROC
- Tropical Medicine Center, Kaohsiung Medical University Hospital, Kaohsiung, 80756, Taiwan, ROC
- Division of Infectious Diseases, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, 80756, Taiwan, ROC
| | - Chuan-Liang Kao
- Department (Dept.) of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, 10051, Taiwan, ROC
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, NTU 17 Xu-Zhou Road, Taipei, 10055, Taiwan, ROC
| | - Hui-Lin Wu
- Hepatitis Research Center, National Taiwan University Hospital, Taipei, 10051, Taiwan, ROC
- Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, 10051, Taiwan, ROC
| | - Li-Yu Daisy Liu
- Division of Biometry, Department of Agronomy, National Taiwan University, Taipei, 10617, Taiwan, ROC
| | - Wan-Yu Lin
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, NTU 17 Xu-Zhou Road, Taipei, 10055, Taiwan, ROC
| | - Yi-Chin Fan
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, NTU 17 Xu-Zhou Road, Taipei, 10055, Taiwan, ROC
| | - Chwan-Chuen King
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, NTU 17 Xu-Zhou Road, Taipei, 10055, Taiwan, ROC
| | - Chia-Chi Ku
- Graduate Institute of Immunology, College of Medicine, National Taiwan University, 1 Jen-Ai Road Section 1, Taipei, 10051, Taiwan, ROC
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Yang YH, Ku X, Gong YN, Meng FL, Dongbo DP, Guo YH, Wei XY, Long LJ, Fan JM, Zhang MJ, Zhang JZ, Yan XM. [Prediction of superantigen active sites and clonal expression of staphylococcal enterotoxin-like W]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:629-635. [PMID: 37147837 DOI: 10.3760/cma.j.cn112338-20220822-00725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
Objective: The docking and superantigen activity sites of staphylococcal enterotoxin-like W (SElW) and T cell receptor (TCR) were predicted, and its SElW was cloned, expressed and purified. Methods: AlphaFold was used to predict the 3D structure of SElW protein monomers, and the protein models were evaluated with the help of the SAVES online server from ERRAT, Ramachandran plot, and Verify_3D. The ZDOCK server simulates the docking conformation of SElW and TCR, and the amino acid sequences of SElW and other serotype enterotoxins were aligned. The primers were designed to amplify selw, and the fragment was recombined into the pMD18-T vector and sequenced. Then recombinant plasmid pMD18-T was digested with BamHⅠand Hind Ⅲ. The target fragment was recombined into the expression plasmid pET-28a(+). After identification of the recombinant plasmid, the protein expression was induced by isopropyl-beta-D- thiogalactopyranoside. The SElW expressed in the supernatant was purified by affinity chromatography and quantified by the BCA method. Results: The predicted three-dimensional structure showed that the SElW protein was composed of two domains, the amino-terminal and the carboxy-terminal. The amino-terminal domain was composed of 3 α-helices and 6 β-sheets, and the carboxy-terminal domain included 2 α-helices and 7 antiparallel β-sheets composition. The overall quality factor score of the SElW protein model was 98.08, with 93.24% of the amino acids having a Verify_3D score ≥0.2 and no amino acids located in disallowed regions. The docking conformation with the highest score (1 521.328) was selected as the analysis object, and the 19 hydrogen bonds between the corresponding amino acid residues of SElW and TCR were analyzed by PyMOL. Combined with sequence alignment and the published data, this study predicted and found five important superantigen active sites, namely Y18, N19, W55, C88, and C98. The highly purified soluble recombinant protein SElW was obtained with cloning, expression, and protein purification. Conclusions: The study found five superantigen active sites in SElW protein that need special attention and successfully constructed and expressed the SElW protein, which laid the foundation for further exploration of the immune recognition mechanism of SElW.
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Affiliation(s)
- Y H Yang
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - X Ku
- Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China University of Chinese Academy of Sciences, Beijing 100049, China
| | - Y N Gong
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - F L Meng
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - D P Dongbo
- Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China University of Chinese Academy of Sciences, Beijing 100049, China Big Data Academy, Zhongke, Zhengzhou 450046, China
| | - Y H Guo
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou 014040, China
| | - X Y Wei
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - L J Long
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China China Medical University, Shenyang 110122, China
| | - J M Fan
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - M J Zhang
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - J Z Zhang
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - X M Yan
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
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Shao PL, Tu HC, Gong YN, Shu HY, Kirby R, Hsu LY, Yeo HY, Kuo HY, Huang YC, Lin YF, Weng HY, Wu YL, Chen CC, Chen TW, Lee KM, Huang CG, Shih SR, Chen WJ, Wu CC, Yu CJ, Tsai SF. Emergence and Persistent Dominance of SARS-CoV-2 Omicron BA.2.3.7 Variant, Taiwan. Emerg Infect Dis 2023; 29:792-796. [PMID: 36918378 PMCID: PMC10045703 DOI: 10.3201/eid2904.221497] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023] Open
Abstract
Since April 2022, waves of SARS-CoV-2 Omicron variant cases have surfaced in Taiwan and spread throughout the island. Using high-throughput sequencing of the SARS-CoV-2 genome, we analyzed 2,405 PCR-positive swab samples from 2,339 persons and identified the Omicron BA.2.3.7 variant as a major lineage within recent community outbreaks in Taiwan.
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Han YJ, Lee KM, Wu GH, Gong YN, Dutta A, Shih SR. Targeting influenza A virus by splicing inhibitor herboxidiene reveals the importance of subtype-specific signatures around splice sites. J Biomed Sci 2023; 30:10. [PMID: 36737756 PMCID: PMC9895974 DOI: 10.1186/s12929-023-00897-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 01/05/2023] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND The association between M segment splicing and pathogenicity remains ambiguous in human influenza A viruses. In this study, we aimed to investigate M splicing in various human influenza A viruses and characterize its physiological roles by applying the splicing inhibitor, herboxidiene. METHODS We examined the M splicing of human H1N1 and H3N2 viruses by comparing three H1N1 and H3N2 strains, respectively, through reverse transcriptase-polymerase chain reaction (RT-PCR) analyses. We randomly selected M sequences of human H1N1, H2N2, and H3N2 viruses isolated from 1933 to 2020 and examined their phylogenetic relationships. Next, we determined the effects of single nucleotide variations on M splicing by generating mutant viruses harboring the 55C/T variant through reverse genetics. To confirm the importance of M2 splicing in the replication of H1N1 and H3N2, we treated infected cells with splicing inhibitor herboxidiene and analyzed the viral growth using plaque assay. To explore the physiological role of the various levels of M2 protein in pathogenicity, we challenged C57BL/6 mice with the H1N1 WSN wild-type strain, mutant H1N1 (55T), and chimeric viruses including H1N1 + H3wt and H1N1 + H3mut. One-tailed paired t-test was used for virus titer calculation and multiple comparisons between groups were performed using two-way analysis of variance. RESULTS M sequence splice site analysis revealed an evolutionarily conserved single nucleotide variant C55T in H3N2, which impaired M2 expression and was accompanied by collinear M1 and mRNA3 production. Aberrant M2 splicing resulted from splice-site selection rather than a general defect in the splicing process. The C55T substitution significantly reduced both M2 mRNA and protein levels regardless of the virus subtype. Consequently, herboxidiene treatment dramatically decreased both the H1N1 and H3N2 virus titers. However, a lower M2 expression only attenuated H1N1 virus replication and in vivo pathogenicity. This attenuated phenotype was restored by M replacement of H3N2 M in a chimeric H1N1 virus, despite low M2 levels. CONCLUSIONS The discrepancy in M2-dependence emphasizes the importance of M2 in human influenza A virus pathogenicity, which leads to subtype-specific evolution. Our findings provide insights into virus adaptation processes in humans and highlights splicing regulation as a potential antiviral target.
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Affiliation(s)
- Yi-Ju Han
- grid.145695.a0000 0004 1798 0922Graduate Institute of Biomedical Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan ,grid.145695.a0000 0004 1798 0922Research Center of Emerging Virus Infection, Division of Biotechnology, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Kuo-Ming Lee
- grid.145695.a0000 0004 1798 0922Research Center of Emerging Virus Infection, Division of Biotechnology, College of Medicine, Chang Gung University, Taoyuan, Taiwan ,grid.145695.a0000 0004 1798 0922International Master Degree Program for Molecular Medicine in Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan ,grid.454211.70000 0004 1756 999XDivision of Infectious Diseases, Department of Pediatrics, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Guan-Hong Wu
- grid.145695.a0000 0004 1798 0922Graduate Institute of Biomedical Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan ,grid.145695.a0000 0004 1798 0922Research Center of Emerging Virus Infection, Division of Biotechnology, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Yu-Nong Gong
- grid.145695.a0000 0004 1798 0922Research Center of Emerging Virus Infection, Division of Biotechnology, College of Medicine, Chang Gung University, Taoyuan, Taiwan ,grid.454211.70000 0004 1756 999XDivision of Infectious Diseases, Department of Pediatrics, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan ,grid.454211.70000 0004 1756 999XDepartment of Laboratory Science, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Avijit Dutta
- grid.454211.70000 0004 1756 999XDivision of Infectious Diseases, Department of Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Shin-Ru Shih
- Research Center of Emerging Virus Infection, Division of Biotechnology, College of Medicine, Chang Gung University, Taoyuan, Taiwan. .,Department of Laboratory Science, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan. .,Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan. .,Research Center for Chinese Herbal Medicine, Chang Gung University of Science and Technology, Taoyuan, Taiwan. .,Research Center for Food and Cosmetic Safety, Chang Gung University of Science and Technology, Taoyuan, Taiwan. .,Graduate Institute of Health Industry Technology, College of Human Ecology, Chang Gung University of Science and Technology, Taoyuan, Taiwan.
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8
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Chiu YF, Huang YW, Chen CY, Chen YC, Gong YN, Kuo RL, Huang CG, Shih SR. Visualizing Influenza A Virus vRNA Replication. Front Microbiol 2022; 13:812711. [PMID: 35733972 PMCID: PMC9207383 DOI: 10.3389/fmicb.2022.812711] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 04/05/2022] [Indexed: 11/13/2022] Open
Abstract
Influenza A virus (IAV) has caused recurrent epidemics and severe pandemics. In this study, we adapted an MS2-MCP live-cell imaging system to visualize IAV replication. A reporter plasmid, pHH-PB2-vMSL, was constructed by replacing a part of the PB2-coding sequence in pHH-PB2 with a sequence encoding 24 copies of a stem-loop structure from bacteriophage MS2 (MSL). Binding of MS2 coat protein (MCP) fused to green fluorescent protein (GFP) to MSL enabled the detection of vRNA as fluorescent punctate signals in live-cell imaging. The introduction of pHH-PB2-vMSL into A549 cells transduced to express an MCP-GFP fusion protein lacking the nuclear localization signal (MCP-GFPdN), subsequently allowed tracking of the distribution and replication of PB2-vMSL vRNA after IAV PR8 infection. Spatial and temporal measurements revealed exponential increases in vRNA punctate signal intensity, which was only observed after membrane blebbing in apoptotic cells. Similar signal intensity increases in apoptotic cells were also observed after MDCK cells, transduced to express MCP-GFPdN, were infected with IAV carrying PB2-vMSL vRNA. Notably, PB2-vMSL vRNA replication was observed to occur only in apoptotic cells, at a consistent time after apoptosis initiation. There was a lack of observable PB2-vMSL vRNA replication in non-apoptotic cells, and vRNA replication was suppressed in the presence of apoptosis inhibitors. These findings point to an important role for apoptosis in IAV vRNA replication. The utility of the MS2-imaging system for visualizing time-sensitive processes such as viral replication in live host cells is also demonstrated in this study.
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Affiliation(s)
- Ya-Fang Chiu
- Department of Microbiology and Immunology, Chang Gung University, Taoyuan, Taiwan.,Research Center for Emerging Viral Infections, Chang Gung University, Taoyuan, Taiwan.,Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Yi-Wen Huang
- Department of Microbiology and Immunology, Chang Gung University, Taoyuan, Taiwan
| | - Chi-Yuan Chen
- Department of Microbiology and Immunology, Chang Gung University, Taoyuan, Taiwan
| | - Yu-Chia Chen
- Department of Biochemical Science and Technology, College of Life Science, National Taiwan University, Taipei, Taiwan
| | - Yu-Nong Gong
- Research Center for Emerging Viral Infections, Chang Gung University, Taoyuan, Taiwan.,Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Rei-Lin Kuo
- Research Center for Emerging Viral Infections, Chang Gung University, Taoyuan, Taiwan
| | - Chung-Guei Huang
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Shin-Ru Shih
- Research Center for Emerging Viral Infections, Chang Gung University, Taoyuan, Taiwan
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9
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Liu KT, Gong YN, Huang CG, Huang PN, Yu KY, Lee HC, Lee SC, Chiang HJ, Kung YA, Lin YT, Hsiao MJ, Huang PW, Huang SY, Wu HT, Wu CC, Kuo RL, Chen KF, Hung CT, Oguntuyo KY, Stevens CS, Kowdle S, Chiu HP, Lee B, Chen GW, Shih SR. Quantifying Neutralizing Antibodies in Patients with COVID-19 by a Two-Variable Generalized Additive Model. mSphere 2022; 7:e0088321. [PMID: 35107336 PMCID: PMC8809379 DOI: 10.1128/msphere.00883-21] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 01/07/2022] [Indexed: 12/17/2022] Open
Abstract
Considering the urgent demand for faster methods to quantify neutralizing antibody titers in patients with coronavirus (CoV) disease 2019 (COVID-19), developing an analytical model or method to replace the conventional virus neutralization test (NT) is essential. Moreover, a "COVID-19 immunity passport" is currently being proposed as a certification for people who travel internationally. Therefore, an enzyme-linked immunosorbent assay (ELISA) was designed to detect severe acute respiratory syndrome CoV 2 (SARS-CoV-2)-neutralizing antibodies in serum, which is based on the binding affinity of SARS-CoV-2 viral spike protein 1 (S1) and the viral spike protein receptor-binding domain (RBD) to antibodies. The RBD is considered the major binding region of neutralizing antibodies. Furthermore, S1 covers the RBD and several other regions, which are also important for neutralizing antibody binding. In this study, we assessed 144 clinical specimens, including those from patients with PCR-confirmed SARS-CoV-2 infections and healthy donors, using both the NT and ELISA. The ELISA results analyzed by spline regression and the two-variable generalized additive model precisely reflected the NT value, and the correlation between predicted and actual NT values was as high as 0.917. Therefore, our method serves as a surrogate to quantify neutralizing antibody titer. The analytic method and platform used in this study present a new perspective for serological testing of SARS-CoV-2 infection and have clinical potential to assess vaccine efficacy. IMPORTANCE Herein, we present a new approach for serological testing for SARS-CoV-2 antibodies using innovative laboratory methods that demonstrate a combination of biology and mathematics. The traditional virus neutralization test is the gold standard method; however, it is time-consuming and poses a risk to medical personnel. Thus, there is a demand for methods that rapidly quantify neutralizing antibody titers in patients with COVID-19 or examine vaccine efficacy at a biosafety level 2 containment facility. Therefore, we used a two-variable generalized additive model to analyze the results of the enzyme-linked immunosorbent assay and found the method to serve as a surrogate to quantify neutralizing antibody titers. This methodology has potential for clinical use in assessing vaccine efficacy.
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Affiliation(s)
- Kuan-Ting Liu
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Graduate Institute of Biomedical Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Yu-Nong Gong
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Chung-Guei Huang
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Peng-Nien Huang
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Division of Infectious Diseases, Department of Pediatrics, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Kar-Yee Yu
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Graduate Institute of Biomedical Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Hou-Chen Lee
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Sun-Che Lee
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Graduate Institute of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Huan-Jung Chiang
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Yu-An Kung
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Yueh-Te Lin
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Graduate Institute of Biomedical Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Mei-Jen Hsiao
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Po-Wei Huang
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Sheng-Yu Huang
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Graduate Institute of Biomedical Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Hsin-Tai Wu
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Chih-Ching Wu
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Graduate Institute of Biomedical Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Otolaryngology/Head & Neck Surgery, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan
| | - Rei-Lin Kuo
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Graduate Institute of Biomedical Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Division of Asthma, Allergy, and Rheumatology, Department of Pediatrics, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Kuan-Fu Chen
- Department of Emergency Medicine, Chang Gung Memorial Hospital, Keelung, Taiwan
- Clinical Informatics and Medical Statistics Research Center, Chang Gung University, Taoyuan, Taiwan
- Community Medicine Research Center, Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Chuan-Tien Hung
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | - Christian S. Stevens
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Shreyas Kowdle
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Hsin-Ping Chiu
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Benhur Lee
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Guang-Wu Chen
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Artificial Intelligence Research Center, Chang Gung University, Taoyuan, Taiwan
- Department of Computer Science and Information Engineering, School of Electrical and Computer Engineering, College of Engineering, Chang Gung University, Taoyuan, Taiwan
| | - Shin-Ru Shih
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Research Center for Chinese Herbal Medicine, Research Center for Food and Cosmetic Safety, Graduate Institute of Health Industry Technology, College of Human Ecology, Chang Gung University of Science and Technology, Taoyuan, Taiwan
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10
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Gong YN, Lee KM, Shih SR. Evolution and Epidemiology of SARS-CoV-2 Virus. Methods Mol Biol 2022; 2452:3-18. [PMID: 35554897 DOI: 10.1007/978-1-0716-2111-0_1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
A novel coronavirus (CoV) that emerged in Wuhan, Hubei province in China, in December 2019, has rapidly spread worldwide. Named as the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), this virus has been responsible for infecting about 153 million people and causing 3 million deaths by May 2021. There is obvious interest in gaining novel insights into the epidemiologic evolution of this virus; however, inappropriate application and interpretation of genomic and phylogenetic analyses has led to dangerous outcomes and misunderstandings. This chapter focuses on not only introducing this virus, its genomic characteristics and molecular mechanisms but also describing the application and interpretation of phylogenetic tree analyses, in order to provide useful information to better understand the evolution and epidemiology of this virus. In addition, recombinant region and genetic ancestry of SARS-CoV-2 remain unknown. It is urgently required to collect samples and obtain related viral genetic data from animal sources for identifying the intermediate host of SARS-CoV-2 that is responsible for its cross-species transmission.
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Affiliation(s)
- Yu-Nong Gong
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Kuo-Ming Lee
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Division of Infectious Diseases, Department of Pediatrics, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Shin-Ru Shih
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan.
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
- Research Center for Chinese Herbal Medicine, Research Center for Food and Cosmetic Safety, and Graduate Institute of Health Industry Technology, College of Human Ecology, Chang Gung University of Science and Technology, Taoyuan, Taiwan.
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11
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Lin JY, Weng KF, Chang CK, Gong YN, Huang GJ, Lee HL, Chen YC, Huang CC, Lu JY, Huang PN, Chiang HJ, Chen CM, Shih SR. Enterovirus A71 Induces Neurological Diseases and Dynamic Variants in Oral Infection of Human SCARB2-Transgenic Weaned Mice. J Virol 2021; 95:e0089721. [PMID: 34379497 PMCID: PMC8513470 DOI: 10.1128/jvi.00897-21] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 08/04/2021] [Indexed: 11/20/2022] Open
Abstract
Enterovirus A71 (EV-A71) and many members of the Picornaviridae family are neurotropic pathogens of global concern. These viruses are primarily transmitted through the fecal-oral route, and thus suitable animal models of oral infection are needed to investigate viral pathogenesis. An animal model of oral infection was developed using transgenic mice expressing human SCARB2 (hSCARB2 Tg), murine-adapted EV-A71/MP4 virus, and EV-A71/MP4 virus with an engineered nanoluciferase gene that allows imaging of viral replication and spread in infected mice. Next-generation sequencing of EV-A71 genomes in the tissues and organs of infected mice was also performed. Oral inoculation of EV-A71/MP4 or nanoluciferase-carrying MP4 virus stably induced neurological symptoms and death in infected 21-day-old weaned mice. In vivo bioluminescence imaging of infected mice and tissue immunostaining of viral antigens indicated that orally inoculated virus can spread to the central nervous system (CNS) and other tissues. Next-generating sequencing further identified diverse mutations in viral genomes that can potentially contribute to viral pathogenesis. This study presents an EV-A71 oral infection murine model that efficiently infects weaned mice and allows tracking of viral spread, features that can facilitate research into viral pathogenesis and neuroinvasion via the natural route of infection. IMPORTANCE Enterovirus A71 (EV-A71), a positive-strand RNA virus of the Picornaviridae, poses a persistent global public health problem. EV-A71 is primarily transmitted through the fecal-oral route, and thus suitable animal models of oral infection are needed to investigate viral pathogenesis. We present an animal model of EV-A71 infection that enables the natural route of oral infection in weaned and nonimmunocompromised 21-day-old hSCARB2 transgenic mice. Our results demonstrate that severe disease and death could be stably induced, and viral invasion of the CNS could be replicated in this model, similar to severe real-world EV-A71 infections. We also developed a nanoluciferase-containing EV-A71 virus that can be used with this animal model to track viral spread after oral infection in real time. Such a model offers several advantages over existing animal models and can facilitate future research into viral spread, tissue tropism, and viral pathogenesis, all pressing issues that remain unaddressed for EV-A71 infections.
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Affiliation(s)
- Jing-Yi Lin
- Department of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei City, Taiwan
- Department of Laboratory Medicine, National Taiwan University Hospital, Taipei City, Taiwan
| | - Kuo-Feng Weng
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Chih-Kuang Chang
- Department of Laboratory Medicine, Taoyuan Chang Gung Memorial Hospital, Taoyuan City, Taiwan
| | - Yu-Nong Gong
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan City, Taiwan
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan City, Taiwan
| | - Guo-Jen Huang
- Department and Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan City, Taiwan
- Neuroscience Research Center, Linkou Chang Gung Memorial Hospital, Taoyuan City, Taiwan
| | - Hui-Lan Lee
- Department of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei City, Taiwan
| | - Yen-Cheng Chen
- Department of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei City, Taiwan
| | - Chien-Chih Huang
- Department of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei City, Taiwan
| | - Jia-Ying Lu
- Department of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei City, Taiwan
| | - Peng-Nien Huang
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan City, Taiwan
- Division of Infectious Diseases, Department of Pediatrics, Linkou Chang Gung Memorial Hospital, Taoyuan City, Taiwan
| | - Huan-Jung Chiang
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Che-Min Chen
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan City, Taiwan
- Graduate Institute of Athletics and Coaching Science, National Taiwan Sport University, Taoyuan City, Taiwan
| | - Shin-Ru Shih
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan City, Taiwan
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan City, Taiwan
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan City, Taiwan
- Research Center for Chinese Herbal Medicine, Research Center for Food and Cosmetic Safety, and Graduate Institute of Health Industry Technology, College of Human Ecology, Chang Gung University of Science and Technology, Taoyuan City, Taiwan
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12
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Chen YY, Huang CT, Li SW, Pan YJ, Lin TL, Huang YY, Li TH, Yang YC, Gong YN, Hsieh YC. Bacterial factors required for Streptococcus pneumoniae coinfection with influenza A virus. J Biomed Sci 2021; 28:60. [PMID: 34452635 PMCID: PMC8395381 DOI: 10.1186/s12929-021-00756-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Accepted: 08/17/2021] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Streptococcus pneumoniae is a common cause of post-influenza secondary bacterial infection, which results in excessive morbidity and mortality. Although 13-valent pneumococcal conjugate vaccine (PCV13) vaccination programs have decreased the incidence of pneumococcal pneumonia, PCV13 failed to prevent serotype 3 pneumococcal disease as effectively as other vaccine serotypes. We aimed to investigate the mechanisms underlying the co-pathogenesis of influenza virus and serotype 3 pneumococci. METHODS We carried out a genome-wide screening of a serotype 3 S. pneumoniae transposon insertion mutant library in a mouse model of coinfection with influenza A virus (IAV) to identify the bacterial factors required for this synergism. RESULTS Direct, high-throughput sequencing of transposon insertion sites identified 24 genes required for both coinfection and bacterial infection alone. Targeted deletion of the putative aminotransferase (PA) gene decreased bacterial growth, which was restored by supplementation with methionine. The bacterial burden in a coinfection with the PA gene deletion mutant and IAV in the lung was lower than that in a coinfection with wild-type pneumococcus and IAV, but was significantly higher than that in an infection with the PA gene deletion mutant alone. These data suggest that IAV infection alters host metabolism to benefit pneumococcal fitness and confer higher susceptibility to pneumococcal infection. We further demonstrated that bacterial growth was increased by supplementation with methionine or IAV-infected mouse lung homogenates. CONCLUSIONS The data indicates that modulation of host metabolism during IAV infection may serve as a potential therapeutic intervention against secondary bacterial infections caused by serotype 3 pneumococci during IAV outbreaks in the future.
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Affiliation(s)
- Yi-Yin Chen
- Department of Pediatrics, Chang Gung Children's Hospital, Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Ching-Tai Huang
- Division of Infectious Diseases, Department of Internal Medicine, Chang Gung Memorial Hospital, Taipei, Taoyuan, Taiwan
| | - Shiao-Wen Li
- Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan
| | - Yi-Jiun Pan
- Department of Microbiology and Immunology, School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan
| | - Tzu-Lung Lin
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Ya-Yu Huang
- Department of Pediatrics, Chang Gung Children's Hospital, Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Ting-Hsuan Li
- Department of Pediatrics, Chang Gung Children's Hospital, Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Yu-Ching Yang
- Department of Pediatrics, Chang Gung Children's Hospital, Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Yu-Nong Gong
- Research Center for Emerging Viral Infections, Chang Gung University, Taoyuan, Taiwan
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Yu-Chia Hsieh
- Department of Pediatrics, Chang Gung Children's Hospital, Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
- Department of Pediatrics, Linkou Chang Gung Memorial Hospital, No. 5, Fuxing Street, Guishan District, Taoyuan City, 333, Taiwan.
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13
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Chen YY, Hsieh YC, Gong YN, Liao WC, Li SW, Chang IYF, Lin TL, Huang CT, Chiu CH, Wu TL, Su LH, Li TH, Huang YY. Genomic Insight into the Spread of Meropenem-Resistant Streptococcus pneumoniae Spain 23F-ST81, Taiwan. Emerg Infect Dis 2021; 26:711-720. [PMID: 32186492 PMCID: PMC7101100 DOI: 10.3201/eid2604.190717] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Incidence of invasive pneumococcal disease caused by antimicrobial-resistant Streptococcus pneumoniae types not included in pneumococcal conjugate vaccines has increased, including a penicillin- and meropenem-resistant serotype 15A-ST63 clone in Japan. During 2013-2017, we collected 206 invasive pneumococcal isolates in Taiwan for penicillin and meropenem susceptibility testing. We found serotypes 15B/C-ST83 and 15A-ST63 were the most prevalent penicillin- and meropenem-resistant clones. A transformation study confirmed that penicillin-binding protein (PBP) 2b was the primary meropenem resistance determinant, and PBP1a was essential for high-level resistance. The rate of serotype 15B/C-ST83 increased during the study. All 15B/C-ST83 isolates showed an ermB macrolide resistance genotype. Prediction analysis of recombination sites revealed 12 recombination regions in 15B/C-ST83 compared with the S. pneumoniae Spain23F-ST81 genome. Pneumococcal clones rapidly recombine to acquire survival advantages and undergo local expansion under the selective pressure exerted by vaccines and antimicrobial drugs. The spread of 15B/C-ST83 is alarming for countries with high antimicrobial pressure.
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14
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Liu H, Gong YN, Shaw-Saliba K, Mehoke T, Evans J, Liu ZY, Lewis M, Sauer L, Thielen P, Rothman R, Chen KF, Pekosz A. Differential disease severity and whole-genome sequence analysis for human influenza A/H1N1pdm virus in 2015-2016 influenza season. Virus Evol 2021; 7:veab044. [PMID: 34040796 PMCID: PMC8135377 DOI: 10.1093/ve/veab044] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
During the 2015–16 winter, the US experienced a relatively mild influenza season compared to Taiwan, which had a higher number of total and severe cases. While H1N1pdm viruses dominated global surveillance efforts that season, the global distribution of genetic variants and their contributions to disease severity have not been investigated. Samples collected from influenza A-positive patients by the Johns Hopkins Center of Excellence for Influenza Research and Surveillance active surveillance in the emergency rooms in Baltimore, Maryland, USA, and northern Taiwan between November 2015 and April 2016, were processed for influenza A virus whole-genome sequencing. In Baltimore, the majority of the viruses were the H1N1pdm clade 6B.1 and no H1N1pdm clade 6B.2 viruses were detected. In northern Taiwan, more than half of the H1N1pdm viruses were clade 6B.1 and 38% were clade 6B.2, consistent with the global observation that most 6B.2 viruses circulated in Asia and not North America. Whole virus genome sequence analysis identified two genetic subgroups present in each of the 6B.1 and 6B.2 clades and one 6B.1 interclade reassortant virus. Clinical data showed 6B.2 patients had more disease symptoms including higher crude and inverse probability weighted odds of pneumonia than 6B.1 patients, suggesting 6B.2 circulation may be one of the reasons for the severe flu season in Taiwan. Local surveillance efforts linking H1N1pdm virus sequences to patient clinical and demographic data improve our understanding of influenza circulation and disease potential.
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Affiliation(s)
- Hsuan Liu
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205, USA
| | - Yu-Nong Gong
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Kathryn Shaw-Saliba
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205, USA.,Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA
| | - Thomas Mehoke
- Research and Exploratory Development Department, Johns Hopkins Applied Physics Laboratory, Laurel, Maryland, 20723, USA
| | - Jared Evans
- Research and Exploratory Development Department, Johns Hopkins Applied Physics Laboratory, Laurel, Maryland, 20723, USA
| | - Zhen-Ying Liu
- Department of Emergency Medicine, Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Mitra Lewis
- Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA
| | - Lauren Sauer
- Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA
| | - Peter Thielen
- Research and Exploratory Development Department, Johns Hopkins Applied Physics Laboratory, Laurel, Maryland, 20723, USA
| | - Richard Rothman
- Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA
| | - Kuan-Fu Chen
- Department of Emergency Medicine, Chang Gung Memorial Hospital, Keelung, Taiwan.,Clinical Informatics and Medical Statistics Research Center, Chang Gung University, Taoyuan, Taiwan.,Community Medicine Research Center, Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Andrew Pekosz
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205, USA.,Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA.,Department of Environmental Health and Engineering, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205, USA
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15
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Huang SY, Kung YA, Huang PN, Chang SY, Gong YN, Han YJ, Chiang HJ, Liu KT, Lee KM, Chang CY, Chang CC, Huang CG, Shih SR. Stability of SARS-CoV-2 Spike G614 Variant Surpasses That of the D614 Variant after Cold Storage. mSphere 2021; 6:e00104-21. [PMID: 33789940 PMCID: PMC8546686 DOI: 10.1128/msphere.00104-21] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 03/10/2021] [Indexed: 12/11/2022] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) carrying the D614G mutation on the spike protein is the predominant circulating variant and is associated with enhanced infectivity. However, whether this dominant variant can potentially spread through the cold chain and whether the spike protein affects virus stability after cold storage remain unclear. To compare the infectivity of two SARS-CoV-2 variants, namely, SARS-CoV-2 variants with spike protein with the D614 mutation (S-D614) and G614 mutation (S-G614), after different periods of refrigeration (4°C) and freezing (-20°C). We also determined the integrity of the viral RNA and the ability of the spike protein to bind angiotensin-converting enzyme 2 (ACE2) after storage at these conditions. The results showed that SARS-CoV-2 was more stable and infectious after storage at -20°C than at 4°C. Particularly, the S-G614 variant was found to be more stable than the S-D614 variant. The spike protein of the S-G614 variant had better binding ability with the ACE2 receptor than that of the S-D614 variant after storage at -20°C for up to 30 days. Our findings revealed that SARS-CoV-2 remains stable and infectious after refrigeration or freezing, and their stability and infectivity up to 30 days depends on the spike variant. Stability and infectivity are related to each other, and the higher stability of S-G614 compared to that of S-D614 may contribute to rapid viral spread of the S-G614 variant.IMPORTANCE It has been observed that variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are more stable and infectious after storage at -20°C than at 4°C. A SARS-CoV-2 S-D614G variant is currently the most dominant variant in circulation and is associated with enhanced infectivity. We compared the stability of two SARS-CoV-2 variants: the early S-D614 variant carrying the D614 spike protein and the new S-G614 variant carrying the G614 spike protein, stored at both 4°C and -20°C for different periods. We observed that SARS-CoV-2 remains stable and infectious after refrigeration or freezing, which further depends on the spike variant, that is, the ability of the spike protein to bind with the ACE2 receptor with higher efficiency. The high stability of the S-G614 variant also explains its rapid spread and infectivity. Therefore, precautions should be taken during and after handling food preserved under cold conditions.
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Affiliation(s)
- Sheng-Yu Huang
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Yu-An Kung
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Peng-Nien Huang
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Division of Infectious Diseases, Department of Pediatrics, Linkou Chung Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Sheng-Yun Chang
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Bachelor Program in Artificial Intelligence, College of Engineering, Chang Gung University, Taoyuan, Taiwan
| | - Yu-Nong Gong
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Yi-Ju Han
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Graduate Institute of Biomedical Science, Division of Biotechnology, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Huan-Jung Chiang
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Kuan-Ting Liu
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Graduate Institute of Biomedical Science, Division of Biotechnology, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Kuo-Ming Lee
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Chia-Yu Chang
- Department of Biological Science and Technology, College of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
- Center for Intelligent Drug Systems and Smart Bio-devices (IDS2B), National Yang Ming Chiao Tung University, Hsinchu, Taiwan
| | - Chia-Ching Chang
- Department of Biological Science and Technology, College of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
- Center for Intelligent Drug Systems and Smart Bio-devices (IDS2B), National Yang Ming Chiao Tung University, Hsinchu, Taiwan
- Department of Electrophysics, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
- Institute of Physics, Academia Sinica, Nankang, Taipei, Taiwan
| | - Chung-Guei Huang
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Shin-Ru Shih
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Research Center for Chinese Herbal Medicine, Chang Gung University of Science and Technology, Taoyuan, Taiwan
- Research Center for Food and Cosmetic Safety, Chang Gung University of Science and Technology, Taoyuan, Taiwan
- Graduate Institute of Health Industry Technology, College of Human Ecology, Chang Gung University of Science and Technology, Taoyuan, Taiwan
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16
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Gong YN, Tsao KC, Hsiao MJ, Huang CG, Huang PN, Huang PW, Lee KM, Liu YC, Yang SL, Kuo RL, Chen KF, Liu YC, Huang SY, Huang HI, Liu MT, Yang JR, Chiu CH, Yang CT, Chen GW, Shih SR. SARS-CoV-2 genomic surveillance in Taiwan revealed novel ORF8-deletion mutant and clade possibly associated with infections in Middle East. Emerg Microbes Infect 2020; 9:1457-1466. [PMID: 32543353 PMCID: PMC7473175 DOI: 10.1080/22221751.2020.1782271] [Citation(s) in RCA: 92] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 06/09/2020] [Indexed: 12/29/2022]
Abstract
Taiwan experienced two waves of imported infections with Coronavirus Disease 2019 (COVID-19). This study aimed at investigating the genomic variation of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Taiwan and compared their evolutionary trajectories with the global strains. We performed culture and full-genome sequencing of SARS-CoV-2 strains followed by phylogenetic analysis. A 382-nucleotides deletion in open reading frame 8 (ORF8) was found in a Taiwanese strain isolated from a patient on February 4, 2020 who had a travel history to Wuhan. Patients in the first wave also included several sporadic, local transmission cases. Genomes of 5 strains sequenced from clustered infections were classified into a new clade with ORF1ab-V378I mutation, in addition to 3 dominant clades ORF8-L84S, ORF3a-G251V and S-D614G. This highlighted clade also included some strains isolated from patients who had a travel history to Turkey and Iran. The second wave mostly resulted from patients who had a travel history to Europe and Americas. All Taiwanese viruses were classified into various clades. Genomic surveillance of SARS-CoV-2 in Taiwan revealed a new ORF8-deletion mutant and a virus clade that may be associated with infections in the Middle East, which contributed to a better understanding of the global SARS-CoV-2 transmission dynamics.
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Affiliation(s)
- Yu-Nong Gong
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Kuo-Chien Tsao
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Mei-Jen Hsiao
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Chung-Guei Huang
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Peng-Nien Huang
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Division of Infectious Diseases, Department of Pediatrics, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Po-Wei Huang
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Kuo-Ming Lee
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Yi-Chun Liu
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Shu-Li Yang
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Rei-Lin Kuo
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Division of Asthma, Allergy, and Rheumatology, Department of Pediatrics, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Kuan-Fu Chen
- Department of Emergency Medicine, Chang Gung Memorial Hospital, Keelung, Taiwan
- Clinical Informatics and Medical Statistics Research Center, Chang Gung University, Taoyuan, Taiwan
- Community Medicine Research Center, Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Yen-Chin Liu
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Sheng-Yu Huang
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Hsing-I. Huang
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Pediatrics, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | | | | | - Cheng-Hsun Chiu
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Taoyuan, Taiwan
- Molecular Infectious Disease Research Center, Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Cheng-Ta Yang
- Department of Respiratory Therapy, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Thoracic Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Guang-Wu Chen
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Computer Science and Information Engineering, School of Electrical and Computer Engineering, College of Engineering, Chang Gung University, Taoyuan, Taiwan
| | - Shin-Ru Shih
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Research Center for Chinese Herbal Medicine, Research Center for Food and Cosmetic Safety, and Graduate Institute of Health Industry Technology, College of Human Ecology, Chang Gung University of Science and Technology, Taoyuan, Taiwan
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17
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Lu F, Li SZ, Gao X, Gong YN, Shi PX, Zhang C. Diagnostic value of circulating miR-208b and miR-499 in peripheral blood of patients with acute myocardial infarction. J BIOL REG HOMEOS AG 2020; 34:1071-1075. [PMID: 32495615 DOI: 10.23812/20-171-l-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Affiliation(s)
- F Lu
- ECG Room, Yantaishan Hospital, Yantai, Shandong Province, China
| | - S Z Li
- Department of Imaging, The People's Hospital of Zhangqiu Area, Jinan, Shandong Province, China
| | - X Gao
- Department of Clinical Laboratory, Qingdao Central Hospital, Qingdao University, Qingdao, Shandong Province, China
| | - Y N Gong
- No.1 Department of Cardiovascular Medicine, The People's Hospital of Zhangqiu Area, Jinan, Shandong Province, China
| | - P X Shi
- Department of Cardiology, The People's Hospital of Zhangqiu Area, Jinan, Shandong Province, China
| | - C Zhang
- ECG Room, Jining NO.1 People's Hospital, Affiliated Jining NO.1 People's Hospital of Jining Medical University, Jining Medical University, Jining, Shandong Province, China
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18
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Abstract
Enterovirus-induced infection of the central nervous system (CNS) results in acute inflammation of the brain (encephalitis) and constitutes a significant global burden to human health. These viruses are thought to be highly cytolytic, therefore normal brain function could be greatly compromised following enteroviral infection of the CNS. A further layer of complexity is added by evidence showing that some enteroviruses may establish a persistent infection within the CNS and eventually lead to pathogenesis of certain neurodegenerative disorders. Interestingly, enterovirus encephalitis is particularly common among young children, suggesting a potential causal link between the development of the neuroimmune system and enteroviral neuroinvasion. Although the CNS involvement in enterovirus infections is a relatively rare complication, it represents a serious underlying cause of mortality. Here we review a selection of enteroviruses that infect the CNS and discuss recent advances in the characterization of these enteroviruses with regard to their routes of CNS infection, tropism, virulence, and immune responses.
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Affiliation(s)
- Bo-Shiun Chen
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Department of Neuroscience and Regenerative Medicine, Medical College of Georgia, Augusta University, Augusta, GA, United States
| | - Hou-Chen Lee
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Kuo-Ming Lee
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Yu-Nong Gong
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Shin-Ru Shih
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan.,Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Research Center for Chinese Herbal Medicine, College of Human Ecology, Chang Gung University of Science and Technology, Taoyuan, Taiwan.,Research Center for Food and Cosmetic Safety, College of Human Ecology, Chang Gung University of Science and Technology, Taoyuan, Taiwan.,Graduate Institute of Health Industry Technology, College of Human Ecology, Chang Gung University of Science and Technology, Taoyuan, Taiwan
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19
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Lee KM, Gong YN, Shih SR. Methods for detection and study of virus-derived small RNAs produced from the intramolecular base-pairing region of the picornavirus genome. Methods 2019; 183:4-12. [PMID: 31493516 DOI: 10.1016/j.ymeth.2019.08.011] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Revised: 08/26/2019] [Accepted: 08/30/2019] [Indexed: 10/26/2022] Open
Abstract
There is conclusive evidential support for the existence of virus-derived small RNA (vsRNA) in mammals. Two types of vsRNA have been reported from picornaviruses. The first is virus-derived short-interfering RNA (vsiRNA) that is processed from viral double-stranded RNA intermediates during RNA replication. The other is small RNA derived from the highly base-paired single-stranded genomic region, e.g. the internal ribosome entry site (IRES) of picornaviruses. vsiRNA interacts with the Argonaute protein to control viral RNA replication through the process of RNA interference. However, the function of structure-based vsRNA is largely unknown. We previously identified vsRNA1 generated from the enterovirus-A71 (EV-A71) IRES region by the endogenous enzyme Dicer. Exogenous vsRNA1 can inhibit IRES activity both in vivo and in vitro, hence viral replication is inhibited. Here we describe key methods used to characterize vsRNA, including annotation by next-generation sequencing, abundance measurement by Northern blotting, determination of Dicer-dependence by gel-shift assay and in vitro cleavage assay, and the inhibitory effect on IRES activity via in vitro translation assay.
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Affiliation(s)
- Kuo-Ming Lee
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Yu-Nong Gong
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Shin-Ru Shih
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan; Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Research Center for Chinese Herbal Medicine, Research Center for Food and Cosmetic Safety, and Graduate Institute of Health Industry Technology, College of Human Ecology, Chang Gung University of Science and Technology, Taoyuan, Taiwan.
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20
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Gong YN, Tsao KC, Chen GW, Wu CJ, Chen YH, Liu YC, Yang SL, Huang YC, Shih SR. Population dynamics at neuraminidase position 151 of influenza A (H1N1)pdm09 virus in clinical specimens. J Gen Virol 2019; 100:752-759. [PMID: 30994443 DOI: 10.1099/jgv.0.001258] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Influenza A virus mutates rapidly, allowing it to escape natural and vaccine-induced immunity. Neuraminidase (NA) is a surface protein capable of cleaving the glycosidic linkages of neuraminic acids to release newly formed virions from infected cells. Genetic variants within a viral population can influence the emergence of pandemic viruses as well as drug susceptibility and vaccine effectiveness. In the present study, 55 clinical specimens from patients infected with the 2009 pandemic influenza A/H1N1 virus, abbreviated as A(H1N1)pdm09, during the 2015-2016 outbreak season in Taiwan were collected. Whole genomes were obtained through next-generation sequencing. Based on the published sequences from A(H1N1)pdm09 strains worldwide, a mixed population of two distinct variants at NA position 151 was revealed. We initially reasoned that such a mixed population may have emerged during cell culture. However, additional investigations confirmed that these mixed variants were detectable in the specimens of patients. To further investigate the role of the two NA-151 variants in a dynamic population, a reverse genetics system was employed to generate recombinant A(H1N1)pdm09 viruses. It was observed that the mixture of the two distinct variants was characterized by a higher replication rate compared to the recombinant viruses harbouring a single variant. Moreover, an NA inhibition assay revealed that a high frequency of the minor NA-151 variant in A(H1N1)pdm09 was associated with a reduced susceptibility to NA inhibitors. We conclude that two distinct NA-151 variants can be identified in patient specimens and that such variants may increase viral replication and NA activity.
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Affiliation(s)
- Yu-Nong Gong
- 1Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC.,2Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan, ROC
| | - Kuo-Chien Tsao
- 1Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC.,3Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC.,2Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan, ROC
| | - Guang-Wu Chen
- 1Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC.,2Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan, ROC.,4Department of Computer Science and Information Engineering, School of Electrical and Computer Engineering, College of Engineering, Chang Gung University, Taoyuan, Taiwan, ROC
| | - Chung-Jung Wu
- 1Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC
| | - Yi-Hsiang Chen
- 1Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC
| | - Yi-Chun Liu
- 2Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan, ROC
| | - Shu-Li Yang
- 2Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan, ROC.,3Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC
| | - Yhu-Chering Huang
- 5Department of Pediatrics, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan, ROC.,6College of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC
| | - Shin-Ru Shih
- 2Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan, ROC.,7Research Center for Chinese Herbal Medicine, Research Center for Food and Cosmetic Safety and Graduate Institute of Health Industry Technology, College of Human Ecology, Chang Gung University of Science and Technology, Taoyuan, Taiwan, ROC.,1Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC.,3Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC
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21
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Chen YY, Wang JT, Lin TL, Gong YN, Li TH, Huang YY, Hsieh YC. Prophage Excision in Streptococcus pneumoniae Serotype 19A ST320 Promote Colonization: Insight Into Its Evolution From the Ancestral Clone Taiwan 19F-14 (ST236). Front Microbiol 2019; 10:205. [PMID: 30800118 PMCID: PMC6375853 DOI: 10.3389/fmicb.2019.00205] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Accepted: 01/24/2019] [Indexed: 11/13/2022] Open
Abstract
Streptococcus pneumoniae 19A ST320, a multidrug-resistant strain with high disease severity that notoriously spread before the use of expanded pneumococcal conjugate vaccines, was derived from a capsular switching event between an international strain Taiwan 19F-14 (ST236) and a serotype 19A strain. However, the molecular mechanisms underlying the adaptive evolution of 19F ST236 to 19A ST320 are unknown. In this study, we compared 19A ST320 to its ancestral clone, 19F ST236, in terms of adherence to respiratory epithelial cells, whole transcriptome, and ability to colonize a young mouse model. Serotype 19A ST320 showed five-fold higher adherence to A549 cells than serotype 19F ST236. High-throughput mRNA sequencing identified a prophage region located between dnaN and ychF in both strains; however, the genes in this region were expressed at significantly higher levels in 19A ST320 than in 19F ST236. Analysis by polymerase chain reaction (PCR) showed that the prophage is able to spontaneously excise from the chromosome and form a circular episome in 19A ST320, but not in 19F ST236. Deletion of the integrase in the prophage of 19A ST320 decreased spontaneous excision and cell adherence, which were restored by complementation. Competition experiments in mice showed that the integrase mutant was six-fold less competitive than the 19A ST320 parent (competitive index [CI]: 0.16; p = 0.02). The 19A ST320 prophage-deleted strain did not change cell adherence capacity, whereas prophage integration strains (integrase mutant and 19F) had decreased expression of the down-stream ychF gene compared to that of 19A ST320. Further deletion of ychF significantly reduced cell adherence. In conclusions, these findings suggest that spontaneous prophage induction confers a competitive advantage to virulent pneumococci.
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Affiliation(s)
- Yi-Yin Chen
- Department of Pediatrics, Chang Gung Children's Hospital, Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Jin-Town Wang
- Department of Microbiology, National Taiwan University College of Medicine, Taipei, Taiwan.,Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Tzu-Lung Lin
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Yu-Nong Gong
- Research Center for Emerging Viral Infections, Chang Gung University, Taoyuan, Taiwan
| | - Ting-Hsuan Li
- Department of Pediatrics, Chang Gung Children's Hospital, Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Ya-Yu Huang
- Department of Pediatrics, Chang Gung Children's Hospital, Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Yu-Chia Hsieh
- Department of Pediatrics, Chang Gung Children's Hospital, Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Taoyuan, Taiwan
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22
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Gong YN, Tsao KC, Chen GW. Inferring the global phylodynamics of influenza A/H3N2 viruses in Taiwan. J Formos Med Assoc 2019; 118:116-124. [PMID: 29475785 DOI: 10.1016/j.jfma.2018.01.019] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2017] [Revised: 01/24/2018] [Accepted: 01/29/2018] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND/PURPOSE Influenza A/H3N2 viruses are characterized by highly mutated RNA genomes. In this study, we focused on tracing the phylodynamics of Taiwanese strains over the past four decades. METHODS All Taiwanese H3N2 HA1 sequences and references were downloaded from public database. A Bayesian skyline plot (BSP) and phylogenetic tree were used to analyze the evolutionary history, and Bayesian phylogeographic analysis was applied to predict the spatiotemporal migrations of influenza outbreaks. RESULTS Genetic diversity was found to have peaked near the summer of 2009 in BSP, in addition to the two earlier reported ones in summer of 2005 and 2007. We predicted their spatiotemporal migrations and found the summer epidemic of 2005 from Korea, and 2007 and 2009 from the Western United States. BSP also predicted an elevated genetic diversity in 2015-2017. Quasispecies were found over approximately 20% of the strains included in this time span. In addition, a first-time seen N31S mutation was noted in Taiwan in 2016-2017. CONCLUSION We comprehensively investigated the evolutionary history of Taiwanese strains in 1979-2017. An epidemic caution could thus be raised if genetic diversity was found to have peaked. An example showed a newly-discovered cluster in 2016-2017 strains featuring a mutation N31S together with HA-160 quasispecies. Phylogeographic analysis, moreover, provided useful insights in tracing the possible source and migrations of these epidemics around the world. We demonstrated that Asian destinations including Taiwan were the immediate followers, while U.S. continent was predicted the origin of two summer epidemics in 2007 and 2009.
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Affiliation(s)
- Yu-Nong Gong
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Kuo-Chien Tsao
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan; Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Guang-Wu Chen
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan; Department of Computer Science and Information Engineering, School of Electrical and Computer Engineering, College of Engineering, Chang Gung University, Taoyuan, Taiwan.
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23
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Li FR, Gong YN, Li J. [Cytomegalovirus enteritis in an immunocompetent child]. Zhonghua Er Ke Za Zhi 2018; 56:784-785. [PMID: 30293287 DOI: 10.3760/cma.j.issn.0578-1310.2018.10.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
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24
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Hung HM, Yang SL, Chen CJ, Chiu CH, Kuo CY, Huang KYA, Lin TY, Hsieh YC, Gong YN, Tsao KC, Huang YC. Molecular epidemiology and clinical features of rhinovirus infections among hospitalized patients in a medical center in Taiwan. J Microbiol Immunol Infect 2018; 52:233-241. [PMID: 30201131 DOI: 10.1016/j.jmii.2018.08.009] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 02/21/2018] [Revised: 08/21/2018] [Accepted: 08/21/2018] [Indexed: 12/24/2022]
Abstract
BACKGROUND Human rhinovirus (HRV) can cause severe illnesses in hospitalized patients. However, there are no studies regarding the prevalence of HRV infection, particularly the recently identified HRV-C, in hospitalized patients reported from Taiwan. METHODS Respiratory specimens collected from 487 hospitalized patients in designated wards between 2013 and 2014 in a medical center in northern Taiwan were retrospectively detected for HRV. Positive specimens were further determined for genotyping. Medical charts of the HRV-positive patients were reviewed retrospectively. RESULTS Totally, 76 patients (15.6%) were HRV positive, of which 60 were pediatric patients. HRV-A was identified in 41 (54%) patients, HRV-B in 6 patients (7.9%) and HRV-C in 29 patients (38%). A total of 47 different genotypes were identified. HRV infections were predominant during fall and winter seasons. 21.1% were affected by HRV alone and 78.9% were found to be co-infected with other microorganisms. The detection rate of HRV in children (18.6%) was significantly higher than in adults (9.6%). Compared with pediatric patients, adult patients were significantly associated with underlying disease, Pneumocystis jirovesii pneumonia co-infection, a diagnosis of pneumonia, fatal outcome, hospital acquisition of HRV, antibiotics administration and requiring intensive care, while pediatric patients were significantly associated with viral co-infection. CONCLUSIONS HRV was a common cause of respiratory tract infection in Taiwan, particularly in pediatric patients. Eighty percent of HRV-infected inpatients had other microorganisms co-infection. Adult patients were more likely to be associated with a severe respiratory disease entity.
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Affiliation(s)
- Huei-Min Hung
- Department of Pediatrics, Chang Gung Children's Hospital, Chang Gung Memorial Hospital, Chang Gung University, College of Medicine, Taoyuan, Taiwan
| | - Shu-Li Yang
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan; Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Chih-Jung Chen
- Department of Pediatrics, Chang Gung Children's Hospital, Chang Gung Memorial Hospital, Chang Gung University, College of Medicine, Taoyuan, Taiwan
| | - Cheng-Hsun Chiu
- Department of Pediatrics, Chang Gung Children's Hospital, Chang Gung Memorial Hospital, Chang Gung University, College of Medicine, Taoyuan, Taiwan
| | - Chen-Yen Kuo
- Department of Pediatrics, Chang Gung Children's Hospital, Chang Gung Memorial Hospital, Chang Gung University, College of Medicine, Taoyuan, Taiwan
| | - Kuan-Ying A Huang
- Department of Pediatrics, Chang Gung Children's Hospital, Chang Gung Memorial Hospital, Chang Gung University, College of Medicine, Taoyuan, Taiwan
| | - Tzou-Yien Lin
- Department of Pediatrics, Chang Gung Children's Hospital, Chang Gung Memorial Hospital, Chang Gung University, College of Medicine, Taoyuan, Taiwan
| | - Yu-Chia Hsieh
- Department of Pediatrics, Chang Gung Children's Hospital, Chang Gung Memorial Hospital, Chang Gung University, College of Medicine, Taoyuan, Taiwan
| | - Yu-Nong Gong
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Kuo-Chien Tsao
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan; Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
| | - Yhu-Chering Huang
- Department of Pediatrics, Chang Gung Children's Hospital, Chang Gung Memorial Hospital, Chang Gung University, College of Medicine, Taoyuan, Taiwan.
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Abstract
The history of influenza in Taiwan can be traced up to the 1918 H1N1 Spanish flu pandemic, followed by several others including the 1957 H2N2, 1968 H3N2, and the 2009 new H1N1. A couple of avian influenza viruses of H5N1 and H7N9 also posed threats to the general public in Taiwan in the two recent decades. Nevertheless, two seasonal influenza A viruses and two lineages of influenza B viruses continue causing annual endemics one after the other, or appearing simultaneously. Their interplay provided interesting evolutionary trajectories for these viruses, allowing us to computationally model their global migrations together with the data collected elsewhere from different geographical locations. An island-wide laboratory-based surveillance network was also established since 2000 for systematically collecting and managing the disease and molecular epidemiology. Experiences learned from this network helped in encountering and managing newly emerging infectious diseases, including the 2003 SARS and 2009 H1N1 outbreaks.
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Affiliation(s)
- Yu-Nong Gong
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Rei-Lin Kuo
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Department of Pediatrics, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Guang-Wu Chen
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Department of Computer Science and Information Engineering, School of Electrical and Computer Engineering, College of Engineering, Chang Gung University, Taoyuan, Taiwan; Department of Laboratory Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan.
| | - Shin-Ru Shih
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Department of Laboratory Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan; Research Center for Chinese Herbal Medicine, Research Center for Food and Cosmetic Safety, and Graduate Institute of Health Industry Technology, College of Human Ecology, Chang Gung University of Science and Technology, Taoyuan, Taiwan.
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26
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Lee KM, Gong YN, Hsieh TH, Woodman A, Dekker NH, Cameron CE, Shih SR. Discovery of Enterovirus A71-like nonstructural genomes in recent circulating viruses of the Enterovirus A species. Emerg Microbes Infect 2018; 7:111. [PMID: 29930332 PMCID: PMC6013424 DOI: 10.1038/s41426-018-0107-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2018] [Revised: 04/27/2018] [Accepted: 04/29/2018] [Indexed: 12/11/2022]
Abstract
Enterovirus A71 (EV-A71) is an important nonpolio enterovirus that causes severe neurological complications. In 1998, Taiwan experienced an EV-A71 outbreak that caused 78 deaths. Since then, periodic epidemics of EV-A71 associated with newly emerging strains have occurred. Several of these strains are known to be recombinant; however, how these strains arose within such a short period of time remains unknown. Here, we sequenced 64 full-length genomes from clinical isolates collected from 2005 to 2016 and incorporated all 91 Taiwanese genomes downloaded from the Virus Pathogen Resource to extensively analyze EV-A71 recombination in Taiwan. We found that the B3 subgenotype was a potential recombinant parent of the EV-A71 C2-like and C4 strains by intratypic recombination. Such B3-similar regions were also found in many cocirculating coxsackieviruses belonging to Enterovirus A species (EV-A) through a series of intertypic recombinations. Therefore, locally enriched outbreaks of cocirculating viruses from different genotypes/serotypes may facilitate recombination. Most recombination breakpoints we found had nonrandom distributions and were located within the region spanning from the boundary of P1 (structural gene) and P2 (nonstructural) to the cis-acting replication element at P2, indicating that specific genome reassembly of structural and nonstructural genes may be subject to natural selection. Through intensive recombination, 11 EV-A71-like signatures (including one in 3A, two in 3C, and eight in 3D) were found to be present in a variety of recently cocirculating EV-A viruses worldwide, suggesting that these viruses may be targets for wide-spectrum antiviral development.
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Affiliation(s)
- Kuo-Ming Lee
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Yu-Nong Gong
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Tzu-Hsuan Hsieh
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Andrew Woodman
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Nynke H Dekker
- Department of Bionanoscience, Kavli Institute of Nanoscience, Delft University of Technology, Van der Maasweg 9, Delft, 2629 HZ, The Netherlands
| | - Craig E Cameron
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Shin-Ru Shih
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan. .,Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan. .,Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan. .,Research Center for Chinese Herbal Medicine, Research Center for Food and Cosmetic Safety, and Graduate Institute of Health Industry Technology, College of Human Ecology, Chang Gung University of Science and Technology, Taoyuan, Taiwan.
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27
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Huang CG, Lee LA, Liao CT, Yen TC, Yang SL, Liu YC, Li JC, Gong YN, Kang CJ, Huang SF, Fang KH, Chang KP, Lee LY, Hsueh C, Shih SR, Tsao KC. Molecular and serologic markers of HPV 16 infection are associated with local recurrence in patients with oral cavity squamous cell carcinoma. Oncotarget 2018; 8:34820-34835. [PMID: 28422732 PMCID: PMC5471014 DOI: 10.18632/oncotarget.16747] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2016] [Accepted: 03/20/2017] [Indexed: 01/11/2023] Open
Abstract
Human papillomavirus (HPV) infections predict mortality in Taiwanese patients with oral cavity squamous cell carcinoma (OCSCC). To address their prognostic significance for local recurrence (LR), in this retrospective cohort study we investigated different serologic and molecular markers of HPV 16 infection in 85 consecutive patients with primary OCSCC who received standard treatment and had their sera stored before treatment. Resected tumor specimens were examined with PCR-based assays for HPV 16 E6/E7 mRNA expression. Sera were tested with suspension arrays for the presence of HPV-specific antibodies using synthetic L1 and E6 peptides as well as a synthetic E7 protein. HPV 16 E6/E7 mRNA, anti-L1, anti-E6, and anti-E7 antibodies tested positive in 12%, 25%, 38%, and 41% of the study patients, respectively. Multivariate analysis identified pathological T3/T4, E6/E7 mRNA, and anti-E7 antibodies as independent risk factors for LR, whereas anti-E6 antibodies were an independent protective factor. In patients with ≥ 3 (high-risk group), 2 (intermediate-risk), and ≤ 1 (low-risk) independent risk factors (predictors), the 5-year LR rates were 75%, 42%, and 4%, respectively. Results were validated in an independent cohort. Together, our preliminary data indicate that HPV 16 infections as well as low and high serum levels of anti-E6 and anti-E7 antibodies, respectively, can serve as biomarkers of LR in patients with OCSCC, whereas the clinical usefulness of anti-HPV 16 antibodies for risk stratification of newly diagnosed cases deserves further scrutiny.
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Affiliation(s)
- Chung-Guei Huang
- Department of Laboratory Medicine, Head and Neck Oncology Group, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan, ROC.,Department of Medical Biotechnology and Laboratory Science, Chang Gung University, Taoyuan, Taiwan, ROC.,Graduate Institute of Biomedical Sciences, Chang Gung University, Taoyuan, Taiwan, ROC
| | - Li-Ang Lee
- Faculty of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC.,Department of Otorhinolaryngology - Head and Neck Surgery, Head and Neck Oncology Group, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan, ROC
| | - Chun-Ta Liao
- Faculty of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC.,Department of Otorhinolaryngology - Head and Neck Surgery, Head and Neck Oncology Group, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan, ROC
| | - Tzu-Chen Yen
- Faculty of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC.,Molecular Imaging Center, Head and Neck Oncology Group, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan, ROC
| | - Shu-Li Yang
- Department of Laboratory Medicine, Head and Neck Oncology Group, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan, ROC.,Department of Medical Biotechnology and Laboratory Science, Chang Gung University, Taoyuan, Taiwan, ROC
| | - Yi-Chun Liu
- Department of Laboratory Medicine, Head and Neck Oncology Group, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan, ROC
| | - Jung-Chin Li
- Faculty of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC
| | - Yu-Nong Gong
- Department of Laboratory Medicine, Head and Neck Oncology Group, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan, ROC
| | - Chung-Jan Kang
- Faculty of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC.,Department of Otorhinolaryngology - Head and Neck Surgery, Head and Neck Oncology Group, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan, ROC
| | - Shiang-Fu Huang
- Faculty of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC.,Department of Otorhinolaryngology - Head and Neck Surgery, Head and Neck Oncology Group, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan, ROC
| | - Ku-Hao Fang
- Faculty of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC.,Department of Otorhinolaryngology - Head and Neck Surgery, Head and Neck Oncology Group, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan, ROC
| | - Kai-Ping Chang
- Faculty of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC.,Department of Otorhinolaryngology - Head and Neck Surgery, Head and Neck Oncology Group, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan, ROC
| | - Li-Yu Lee
- Faculty of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC.,Department of Pathology, Head and Neck Oncology Group, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan, ROC
| | - Chuen Hsueh
- Faculty of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC.,Department of Pathology, Head and Neck Oncology Group, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan, ROC
| | - Shin-Ru Shih
- Department of Laboratory Medicine, Head and Neck Oncology Group, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan, ROC.,Department of Medical Biotechnology and Laboratory Science, Chang Gung University, Taoyuan, Taiwan, ROC.,Graduate Institute of Biomedical Sciences, Chang Gung University, Taoyuan, Taiwan, ROC
| | - Kuo-Chien Tsao
- Department of Laboratory Medicine, Head and Neck Oncology Group, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan, ROC.,Department of Medical Biotechnology and Laboratory Science, Chang Gung University, Taoyuan, Taiwan, ROC
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28
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Gong YN, Yang SL, Chen GW, Chen YW, Huang YC, Ning HC, Tsao KC. Erratum to: A metagenomics study for the identification of respiratory viruses in mixed clinical specimens: an application of the iterative mapping approach. Arch Virol 2017; 162:2013. [PMID: 28523519 PMCID: PMC7608126 DOI: 10.1007/s00705-017-3406-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Yu-Nong Gong
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Shu-Li Yang
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Guang-Wu Chen
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Computer Science and Information Engineering, School of Electrical and Computer Engineering, College of Engineering, Chang Gung University, Taoyuan, Taiwan
| | - Yu-Wen Chen
- Department of Pediatrics, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Yhu-Chering Huang
- Department of Pediatrics, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Hsiao-Chen Ning
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Kuo-Chien Tsao
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan.
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
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29
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Gong YN, Yang SL, Shih SR, Huang YC, Chang PY, Huang CG, Kao KC, Hu HC, Liu YC, Tsao KC. Molecular evolution and the global reemergence of enterovirus D68 by genome-wide analysis. Medicine (Baltimore) 2016; 95:e4416. [PMID: 27495059 PMCID: PMC4979813 DOI: 10.1097/md.0000000000004416] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
Human enterovirus D68 (EV-D68) was first reported in the United States in 1962; thereafter, a few cases were reported from 1970 to 2005, but 2 outbreaks occurred in the Philippines (2008) and the United States (2014). However, little is known regarding the molecular evolution of this globally reemerging virus due to a lack of whole-genome sequences and analyses. Here, all publically available sequences including 147 full and 1248 partial genomes from GenBank were collected and compared at the clade and subclade level; 11 whole genomes isolated in Taiwan (TW) in 2014 were also added to the database. Phylogenetic trees were constructed to identify a new subclade, B3, and represent clade circulations among strains. Nucleotide sequence identities of the VP1 gene were 94% to 95% based on a comparison of subclade B3 to B1 and B2 and 87% to 91% when comparing A, C, and D. The patterns of clade circulation need to be clarified to improve global monitoring of EV-D68, even though this virus showed lower diversity among clades compared with the common enterovirus EV-71. Notably, severe cases isolated from Taiwan and China in 2014 were found in subclade B3. One severe case from Taiwan occurred in a female patient with underlying angioimmunoblastic T-cell lymphoma, from whom a bronchoalveolar lavage specimen was obtained. Although host factors play a key role in disease severity, we cannot exclude the possibility that EV-D68 may trigger clinical symptoms or death. To further investigate the genetic diversity of EV-D68, we reported 34 amino acid (aa) polymorphisms identified by comparing subclade B3 to B1 and B2. Clade D strains had a 1-aa deletion and a 2-aa insertion in the VP1 gene, and 1 of our TW/2014 strains had a shorter deletion in the 5' untranslated region than a previously reported deletion. In summary, a new subclade, genetic indels, and polymorphisms in global strains were discovered elucidating evolutionary and epidemiological trends of EV-D68, and 11 genomes were added to the database. Virus variants may contribute to disease severity and clinical manifestations, and further studies are needed to investigate the associations between genetic diversity and clinical outcomes.
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Affiliation(s)
- Yu-Nong Gong
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital
| | - Shu-Li Yang
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital
- Department of Medical Biotechnology and Laboratory Science
| | - Shin-Ru Shih
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital
- Department of Medical Biotechnology and Laboratory Science
- Research Center for Emerging Viral Infections, Chang Gung University
| | - Yhu-Chering Huang
- Department of Pediatrics, Linkou Chang Gung Memorial Hospital
- College of Medicine, Chang Gung University
| | - Pi-Yueh Chang
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital
- Department of Medical Biotechnology and Laboratory Science
| | - Chung-Guei Huang
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital
- Department of Medical Biotechnology and Laboratory Science
- Research Center for Emerging Viral Infections, Chang Gung University
| | - Kuo-Chin Kao
- Department of Respiratory Therapy
- Department of Pulmonary and Critical Care Medicine, Linkou Chang Gung Memorial Hospital
- Department of Respiratory Therapy
- Department of Pulmonary and Critical Care Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Han-Chung Hu
- Department of Respiratory Therapy
- Department of Pulmonary and Critical Care Medicine, Linkou Chang Gung Memorial Hospital
- Department of Respiratory Therapy
- Department of Pulmonary and Critical Care Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Yi-Chun Liu
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital
| | - Kuo-Chien Tsao
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital
- Department of Medical Biotechnology and Laboratory Science
- Research Center for Emerging Viral Infections, Chang Gung University
- Correspondence: Kuo-ChienTsao, Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan; Department of Medical Biotechnology and Laboratory Science, Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan (e-mail: )
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30
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Gong YN, Chen GW, Yang SL, Lee CJ, Shih SR, Tsao KC. A Next-Generation Sequencing Data Analysis Pipeline for Detecting Unknown Pathogens from Mixed Clinical Samples and Revealing Their Genetic Diversity. PLoS One 2016; 11:e0151495. [PMID: 26986479 PMCID: PMC4795770 DOI: 10.1371/journal.pone.0151495] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2015] [Accepted: 02/29/2016] [Indexed: 12/02/2022] Open
Abstract
Forty-two cytopathic effect (CPE)-positive isolates were collected from 2008 to 2012. All isolates could not be identified for known viral pathogens by routine diagnostic assays. They were pooled into 8 groups of 5–6 isolates to reduce the sequencing cost. Next-generation sequencing (NGS) was conducted for each group of mixed samples, and the proposed data analysis pipeline was used to identify viral pathogens in these mixed samples. Polymerase chain reaction (PCR) or enzyme-linked immunosorbent assay (ELISA) was individually conducted for each of these 42 isolates depending on the predicted viral types in each group. Two isolates remained unknown after these tests. Moreover, iteration mapping was implemented for each of these 2 isolates, and predicted human parechovirus (HPeV) in both. In summary, our NGS pipeline detected the following viruses among the 42 isolates: 29 human rhinoviruses (HRVs), 10 HPeVs, 1 human adenovirus (HAdV), 1 echovirus and 1 rotavirus. We then focused on the 10 identified Taiwanese HPeVs because of their reported clinical significance over HRVs. Their genomes were assembled and their genetic diversity was explored. One novel 6-bp deletion was found in one HPeV-1 virus. In terms of nucleotide heterogeneity, 64 genetic variants were detected from these HPeVs using the mapped NGS reads. Most importantly, a recombination event was found between our HPeV-3 and a known HPeV-4 strain in the database. Similar event was detected in the other HPeV-3 strains in the same clade of the phylogenetic tree. These findings demonstrated that the proposed NGS data analysis pipeline identified unknown viruses from the mixed clinical samples, revealed their genetic identity and variants, and characterized their genetic features in terms of viral evolution.
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Affiliation(s)
- Yu-Nong Gong
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Computer Science and Information Engineering, School of Electrical and Computer Engineering, College of Engineering, Chang Gung University, Taoyuan, Taiwan
| | - Guang-Wu Chen
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Computer Science and Information Engineering, School of Electrical and Computer Engineering, College of Engineering, Chang Gung University, Taoyuan, Taiwan
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Shu-Li Yang
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Ching-Ju Lee
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Shin-Ru Shih
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Kuo-Chien Tsao
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- * E-mail:
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31
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Chen GW, Kuo SM, Yang SL, Gong YN, Hsiao MR, Liu YC, Shih SR, Tsao KC. Genomic Signatures for Avian H7N9 Viruses Adapting to Humans. PLoS One 2016; 11:e0148432. [PMID: 26845764 PMCID: PMC4742285 DOI: 10.1371/journal.pone.0148432] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2015] [Accepted: 01/18/2016] [Indexed: 11/19/2022] Open
Abstract
An avian influenza A H7N9 virus emerged in March 2013 and caused a remarkable number of human fatalities. Genome variability in these viruses may provide insights into host adaptability. We scanned over 140 genomes of the H7N9 viruses isolated from humans and identified 104 positions that exhibited seven or more amino acid substitutions. Approximately half of these substitutions were identified in the influenza ribonucleoprotein (RNP) complex. Although PB2 627K of the avian virus promotes replication in humans, 45 of the 147 investigated PB2 sequences retained the E signature at this position, which is an avian characteristic. We discovered 10 PB2 substitutions that covaried with K627E. An RNP activity assay showed that Q591K, D701N, and M535L restored the polymerase activity in human cells when 627K transformed to an avian-like E. Genomic analysis of the human-isolated avian influenza virus is crucial in assessing genome variability, because relationships between position-specific variations can be observed and explored. In this study, we observed alternative positions that can potentially compensate for PB2 627K, a well-known marker for cross-species infection. An RNP assay suggested Q591K, D701N, and M535L as potential markers for an H7N9 virus capable of infecting humans.
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Affiliation(s)
- Guang-Wu Chen
- Department of Computer Science and Information Engineering, School of Electrical and Computer Engineering, College of Engineering, Chang Gung University, Taoyuan, Taiwan
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- * E-mail: (GWC); (KCT)
| | - Shu-Ming Kuo
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Shu-Li Yang
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Yu-Nong Gong
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Mei-Ren Hsiao
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Yi-Chun Liu
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Shin-Ru Shih
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Kuo-Chien Tsao
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- * E-mail: (GWC); (KCT)
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32
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Chen GW, Gong YN, Shih SR. Influenza A virus plasticity—A temporal analysis of species-associated genomic signatures. J Formos Med Assoc 2015; 114:456-63. [DOI: 10.1016/j.jfma.2015.01.015] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2014] [Revised: 01/29/2015] [Accepted: 01/30/2015] [Indexed: 10/23/2022] Open
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33
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Gong YN, Chen GW, Chen CJ, Kuo RL, Shih SR. Computational analysis and mapping of novel open reading frames in influenza A viruses. PLoS One 2014; 9:e115016. [PMID: 25506939 PMCID: PMC4266615 DOI: 10.1371/journal.pone.0115016] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2014] [Accepted: 11/16/2014] [Indexed: 02/06/2023] Open
Abstract
The influenza A virus contains 8 segmented genomic RNAs and was considered to encode 10 viral proteins until investigators identified the 11th viral protein, PB1-F2, which uses an alternative reading frame of the PB1 gene. The recently identified PB1-N40, PA-N155 and PA-N182 influenza A proteins have shown the potential for using a leaking ribosomal scanning mechanism to generate novel open reading frames (ORFs). These novel ORFs provide examples of the manner in which the influenza A virus expands its coding capacity by using overlapping reading frames. In this study, we performed a computational search, based on a ribosome scanning mechanism, on all influenza A coding sequences to identify possible forward-reading ORFs that could be translated into novel viral proteins. We specified that the translated products had a prevalence ≥5% to eliminate sporadic ORFs. A total of 1,982 ORFs were thus identified and presented in terms of their locations, lengths and Kozak sequence strengths. We further provided an abridged list of ORFs by requiring every candidate an upstream start codon (within the upstream third of the primary transcript), a strong Kozak consensus sequence and high prevalence (≥95% and ≥50% for in-frame and alternative-frame ORFs, respectively). The PB1-F2, PB1-N40, PA-N155 and PA-N182 proteins all fulfilled our filtering criteria. Subject to these three stringent settings, we additionally named 16 novel ORFs for all influenza A genomes except for HA and NA, for which 43 HA and 11 NA ORFs from their respective subtypes were also recognized.
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Affiliation(s)
- Yu-Nong Gong
- Department of Computer Science and Information Engineering, School of Electrical and Computer Engineering, College of Engineering, Chang Gung University, Taoyuan, Taiwan
| | - Guang-Wu Chen
- Department of Computer Science and Information Engineering, School of Electrical and Computer Engineering, College of Engineering, Chang Gung University, Taoyuan, Taiwan
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- * E-mail:
| | - Chi-Jene Chen
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Medical Biotechnology and Laboratory Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Rei-Lin Kuo
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Medical Biotechnology and Laboratory Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Shin-Ru Shih
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Medical Biotechnology and Laboratory Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan
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Chen GW, Tsao KC, Huang CG, Gong YN, Chang SC, Liu YC, Wu HH, Yang SL, Lin TY, Huang YC, Shih SR. Amino acids transitioning of 2009 H1N1pdm in Taiwan from 2009 to 2011. PLoS One 2012; 7:e45946. [PMID: 23029335 PMCID: PMC3454337 DOI: 10.1371/journal.pone.0045946] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2012] [Accepted: 08/23/2012] [Indexed: 11/19/2022] Open
Abstract
A swine-origin influenza A was detected in April 2009 and soon became the 2009 H1N1 pandemic strain (H1N1pdm). The current study revealed the genetic diversity of H1N1pdm, based on 77 and 70 isolates which we collected, respectively, during the 2009/2010 and 2010/2011 influenza seasons in Taiwan. We focused on tracking the amino acid transitioning of hemagglutinin (HA) and neuraminidase (NA) genes in the early diversification of the virus and compared them with H1N1pdm strains reported worldwide. We identified newly emerged mutation markers based on A/California/04/2009, described how these markers shifted from the first H1N1pdm season to the one that immediately followed, and discussed how these observations may relate to antigenicity, receptor-binding, and drug susceptibility. It was found that the amino acid mutation rates of H1N1pdm were elevated, from 9.29×10−3 substitutions per site in the first season to 1.46×10−2 in the second season in HA, and from 5.23×10−3 to 1.10×10−2 in NA. Many mutation markers were newly detected in the second season, including 11 in HA and 8 in NA, and some were found having statistical correlation to disease severity. There were five noticeable HA mutations made to antigenic sites. No significant titer changes, however, were detected based on hemagglutination inhibition tests. Only one isolate with H275Y mutation known to reduce susceptibility to NA inhibitors was detected. As limited Taiwanese H1N1pdm viruses were isolated after our sampling period, we gathered 8,876 HA and 6,017 NA H1N1pdm sequences up to April 2012 from NCBI to follow up the dynamics of mentioned HA mutations. While some mutations described in this study seemed to either settle in or die out in the 2011–2012 season, a number of them still showed signs of transitioning, prompting the importance of continuous monitoring of this virus for more seasons to come.
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Affiliation(s)
- Guang-Wu Chen
- Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan, Republic of China
- Research Center for Emerging Viral Infections, Chang Gung University, Taoyuan, Taiwan, Republic of China
| | - Kuo-Chien Tsao
- Research Center for Emerging Viral Infections, Chang Gung University, Taoyuan, Taiwan, Republic of China
- Department of Medical Biotechnology and Laboratory Science, Chang Gung University, Taoyuan, Taiwan, Republic of China
- Department of Laboratory Medicine, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan, Republic of China
- * E-mail:
| | - Chung-Guei Huang
- Research Center for Emerging Viral Infections, Chang Gung University, Taoyuan, Taiwan, Republic of China
- Department of Medical Biotechnology and Laboratory Science, Chang Gung University, Taoyuan, Taiwan, Republic of China
- Department of Laboratory Medicine, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan, Republic of China
| | - Yu-Nong Gong
- Graduate Institute of Electrical Engineering, Chang Gung University, Taoyuan, Taiwan, Republic of China
| | - Shih-Cheng Chang
- Research Center for Emerging Viral Infections, Chang Gung University, Taoyuan, Taiwan, Republic of China
- Department of Medical Biotechnology and Laboratory Science, Chang Gung University, Taoyuan, Taiwan, Republic of China
| | - Yi-Chun Liu
- Department of Laboratory Medicine, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan, Republic of China
| | - Hsiao-Han Wu
- Department of Laboratory Medicine, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan, Republic of China
| | - Shu-Li Yang
- Department of Laboratory Medicine, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan, Republic of China
| | - Tzou-Yien Lin
- Research Center for Emerging Viral Infections, Chang Gung University, Taoyuan, Taiwan, Republic of China
- College of Medicine, Chang Gung University, Taoyuan, Taiwan, Republic of China
- Department of Pediatrics, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan, Republic of China
| | - Yhu-Chering Huang
- College of Medicine, Chang Gung University, Taoyuan, Taiwan, Republic of China
- Department of Pediatrics, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan, Republic of China
| | - Shin-Ru Shih
- Research Center for Emerging Viral Infections, Chang Gung University, Taoyuan, Taiwan, Republic of China
- Department of Medical Biotechnology and Laboratory Science, Chang Gung University, Taoyuan, Taiwan, Republic of China
- Department of Laboratory Medicine, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan, Republic of China
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Gong YN, Chen GW, Suchard MA. A novel empirical mutual information approach to identify co-evolving amino acid positions of influenza A viruses. Comput Biol Chem 2012; 39:20-8. [PMID: 22858722 DOI: 10.1016/j.compbiolchem.2012.06.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2012] [Accepted: 06/22/2012] [Indexed: 11/30/2022]
Abstract
Mutual information (MI) is an approach commonly used to estimate the evolutionary correlation of 2 amino acid sites. Although several MI methods exist, prior to our contribution no systematic method had been developed to assess their performance, or to establish numerical thresholds to detect co-evolving amino acid sites. The current study performed a Markov chain Monte Carlo (MCMC) algorithm on influenza viral sequences to capture their evolutionary characteristics. A consensus maximum clade credibility (MCC) tree was estimated from the samples, together with their amino acid substitution statistics, from which we generated synthetic sequences of known dependent and independent paired amino acid sites. A pair-to-pair and influenza-specific amino acid substitution matrix (P2PFLU) incorporated into Bayesian Evolutionary Analysis Sampling Trees (BEAST) enumerated these synthetic sequences. The sequences inherited evolutionary features and co-varying characteristics from the real viral sequences, rendering these synthetic data ideal for exploring their co-evolving features. For the MI measure, we proposed a novel metric called the empirical MI (MI(Em)), which outperformed other MI measures in analysis of receiver operating characteristics (ROC). We implemented our approach on 1086 all-time PB2 sequences of influenza A H5N1 viruses, in which we found 97 sites exhibiting co-evolutionary substitution of one or more amino acid sites. In particular, PB2 451, along with eight other PB2 sites of various MI(Em) scores, was found to co-evolve with PB2 627, a known species-associated amino acid residue which plays a critical role in influenza virus replication.
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Affiliation(s)
- Yu-Nong Gong
- Graduate Institute of Electrical Engineering, Chang Gung University, Taoyuan, Taiwan
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Gong YN, Chen GW, Shih SR. Characterization of subtypes of the influenza A hemagglutinin (HA) gene using profile hidden Markov models. J Microbiol Immunol Infect 2011; 45:404-10. [PMID: 22197681 DOI: 10.1016/j.jmii.2011.12.018] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2011] [Revised: 09/27/2011] [Accepted: 10/16/2011] [Indexed: 11/27/2022]
Abstract
BACKGROUND The influenza A virus has evolved into 16 hemagglutinin (HA) subtypes with different antigenic properties. Thus far typing has been primarily assay based, but the many sequences available from the US National Center for Biotechnology Information (NCBI) offer alternative ways of characterizing the HA gene. METHODS All available HA sequences from the NCBI were analyzed. The software package HMMER was used to score how a training sequence fitted a profile hidden Markov model (profile HMM) constructed from the consensus sequence of one particular HA subtype, Hx, where x=1 to 16. Scores from sequences of the same subtype and from other subtypes were then compared to see if they were separable. This approach was implemented in a stepwise manner, utilizing a sliding window of 100 amino acids with 10-amino-acid increments to build many subtype-specific models, and then assessing which 100-amino acid segments yielded the desired differentiability. RESULTS Segment-based analysis revealed domains that correlate to HA sequence heterogeneity from one subtype to the others. For example, we showed that H1 segments covering only the second half of HA are not statistically separable from H2, H5 and H6 within the same region, suggesting evolutionary relatedness for these subtypes. The HA1 domain was found to be mostly differentiable between subtypes, which is in line with wet-lab findings that the domain is antigenicity-rich. We also reported a couple of regions that can be conveniently used to characterize all HA subtypes. CONCLUSION We established an analysis framework for assessing sequence-subtype association to provide insights into HA subtypes with close evolutionary relationships.
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Affiliation(s)
- Yu-Nong Gong
- Graduate Institute of Electrical Engineering, Chang Gung University, Taoyuan, Taiwan
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