1
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Kojima N, Adlhoch C, Mitja O, Dat VQ, Lescano AG, Klausner JD. Building global preparedness for avian influenza. Lancet 2024; 403:2461-2465. [PMID: 38735298 PMCID: PMC11331446 DOI: 10.1016/s0140-6736(24)00934-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Accepted: 05/02/2024] [Indexed: 05/14/2024]
Affiliation(s)
- Noah Kojima
- Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
| | - Cornelia Adlhoch
- European Centre for Disease Prevention and Control, Solna, Sweden
| | - Oriol Mitja
- University Hospital Germans Trias i Pujol, Badalona, Spain; National Department of Health, Port Moresby, Papua New Guinea
| | - Vu Quoc Dat
- Department of Infectious Diseases, Hanoi Medical University, Hanoi, Viet Nam
| | - Andres G Lescano
- School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Jeffrey D Klausner
- Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
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2
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Park Y, Ryu B, Ki SJ, Chen M, Liang X, Kurabayashi K. Bioinspired Plasmo-virus for Point-of-Care SARS-CoV-2 Detection. NANO LETTERS 2023; 23:98-106. [PMID: 36573824 PMCID: PMC9843622 DOI: 10.1021/acs.nanolett.2c03700] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 12/20/2022] [Indexed: 06/12/2023]
Abstract
Directly identifying the presence of the virus in infected hosts with an appropriate speed and sensitivity permits early epidemic management even during the presymptomatic incubation period of infection. Here, we synthesize a bioinspired plasmo-virus (BPV) particle for rapid and sensitive point-of-care (POC) detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) via a self-assembled plasmonic nanoprobe array on spike proteins. The BPV enables strong near-infrared (NIR) extinction peaks caused by plasmonic nanogaps. We quantify SARS-CoV-2 in viral transport medium (VTM) at low titers within 10 min with a limit of detection (LOD) of 1.4 × 101 pfu/mL, which is 103 times more sensitive than the current gold-standard method. The high-sensitivity and high-speed POC detection may be widely used for the timely, individualized diagnosis of infectious agents in low-resource settings.
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Affiliation(s)
- Younggeun Park
- Department
of Mechanical Engineering, University of
Michigan, Ann Arbor, Michigan 48109, United States
- Weil
Institute for Critical Care Research and Innovation, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Byunghoon Ryu
- Department
of Mechanical Engineering, University of
Michigan, Ann Arbor, Michigan 48109, United States
- Department
of Mechanical Engineerng, Inha Univeristy, Incheon 22212, Republic of Korea
| | - Seung Jun Ki
- Department
of Mechanical Engineering, University of
Michigan, Ann Arbor, Michigan 48109, United States
| | - Mingze Chen
- Department
of Mechanical Engineering, University of
Michigan, Ann Arbor, Michigan 48109, United States
| | - Xiaogan Liang
- Department
of Mechanical Engineering, University of
Michigan, Ann Arbor, Michigan 48109, United States
- Weil
Institute for Critical Care Research and Innovation, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Katsuo Kurabayashi
- Department
of Mechanical Engineering, University of
Michigan, Ann Arbor, Michigan 48109, United States
- Weil
Institute for Critical Care Research and Innovation, University of Michigan, Ann Arbor, Michigan 48109, United States
- Department
of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, Michigan 48109, United States
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3
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Hu Z, Huang Y, Zhao J, Hu J, Hu S, Liu X. Expression and characterization of a recombinant broadly-reactive monoclonal antibody against group 1 and 2 influenza viruses. Protein Expr Purif 2022; 192:106046. [PMID: 35007721 DOI: 10.1016/j.pep.2022.106046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 01/04/2022] [Accepted: 01/06/2022] [Indexed: 11/17/2022]
Abstract
Production of broadly-reactive antibodies is critical for universal immunodiagnosis of rapidly-evolving influenza viruses. Most monoclonal antibodies (mAbs) are generated in mice using the hybridoma technology which involves labor- and time-consuming screening and low yield issues. In this study, a recombinant antibody based on a broadly-reactive mAb against the hemagglutinin (HA) stalk of H7N9 avian influenza virus was expressed in CHO cells and its biological characteristics, cross-reactivity and epitope recognition were identified. The variable genes of the parental antibody were amplified and cloned into the antibody-expressing plasmids containing the constant genes of murine IgG1. The recombinant antibody was expressed in high yield and purity in CHO cells and showed similar features to the parental antibody, including negative hemagglutination inhibition activity against H7N9 virus and high binding activity with the H7N9 HA protein. Notably, the recombinant antibody exhibited a broad reactivity with different influenza subtypes belonging to group 1 and group 2, which was associated with its recognition of a highly-conserved epitope in the stalk, as observed for the parental antibody. Our results suggest that cell-based antibody expression system can be utilized as an important alternative to the hybridoma technology for antibody production for influenza virus diagnostics.
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MESH Headings
- Animals
- Antibodies, Monoclonal/genetics
- Antibodies, Monoclonal/immunology
- Antibodies, Monoclonal/isolation & purification
- Antibodies, Monoclonal/pharmacology
- Antibodies, Viral/genetics
- Antibodies, Viral/immunology
- Antibodies, Viral/isolation & purification
- Antibodies, Viral/pharmacology
- CHO Cells
- Cricetinae
- Cricetulus
- Cross Reactions
- Gene Expression
- Hemagglutinin Glycoproteins, Influenza Virus/genetics
- Hemagglutinin Glycoproteins, Influenza Virus/immunology
- Humans
- Influenza A Virus, H7N9 Subtype/genetics
- Influenza A Virus, H7N9 Subtype/immunology
- Influenza, Human/virology
- Mice
- Orthomyxoviridae/classification
- Orthomyxoviridae/drug effects
- Orthomyxoviridae/immunology
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Affiliation(s)
- Zenglei Hu
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Yangzhou University, Yangzhou, China; Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, China; Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou, China; Key Laboratory of Animal Infectious Diseases, School of Veterinary Medicine, Yangzhou University, Yangzhou, China
| | - Ya Huang
- Key Laboratory of Animal Infectious Diseases, School of Veterinary Medicine, Yangzhou University, Yangzhou, China
| | - Jiangyan Zhao
- Key Laboratory of Animal Infectious Diseases, School of Veterinary Medicine, Yangzhou University, Yangzhou, China
| | - Jiao Hu
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, China; Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou, China; Key Laboratory of Animal Infectious Diseases, School of Veterinary Medicine, Yangzhou University, Yangzhou, China
| | - Shunlin Hu
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, China; Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou, China; Key Laboratory of Animal Infectious Diseases, School of Veterinary Medicine, Yangzhou University, Yangzhou, China
| | - Xiufan Liu
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Yangzhou University, Yangzhou, China; Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, China; Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou, China; Key Laboratory of Animal Infectious Diseases, School of Veterinary Medicine, Yangzhou University, Yangzhou, China.
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4
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Sakai-Tagawa Y, Yamayoshi S, Halfmann PJ, Kawaoka Y. Comparative Sensitivity of Rapid Antigen Tests for the Delta Variant (B.1.617.2) of SARS-CoV-2. Viruses 2021; 13:v13112183. [PMID: 34834991 PMCID: PMC8618251 DOI: 10.3390/v13112183] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 10/24/2021] [Accepted: 10/27/2021] [Indexed: 11/16/2022] Open
Abstract
Rapid antigen tests (RATs) for COVID-19 based on lateral flow immunoassays are useful for rapid diagnosis in a variety of settings. Although many kinds of RATs are available, their respective sensitivity has not been compared. Here, we examined the sensitivity of 27 RATs available in Japan for the detection of the SARS-CoV-2 delta variant. All of the RATs tested detected the delta variant albeit with different sensitivities. Nine RATs (ESPLINE SARS-CoV-2, ALSONIC COVID-19 Ag, COVID-19 and Influenza A+B Antigen Combo Rapid Test, ImmunoArrow SARS-CoV-2, Fuji Dri-chem immuno AG cartridge COVID-19 Ag, 2019-nCoV Ag rapid detection kit, Saliva SARS-CoV-2(2019-nCoV) Antigen Test Kit, and Rabliss SARS-CoV-2 antigen detection kit COVID19 AG) showed superior sensitivity to the isolated delta variant. Although actual clinical specimens were not examined, the detection level of most of the RATs was 7500 pfu, indicating that individuals whose test samples contained less virus than that would be considered negative. Therefore, it is important to bear in mind that RATs may miss individuals shedding low levels of infectious virus.
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Affiliation(s)
- Yuko Sakai-Tagawa
- Division of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, Tokyo 108-8639, Japan;
- International Research Center for Infectious Diseases, Department of Special Pathogens, Institute of Medical Science, University of Tokyo, Tokyo 108-8639, Japan
| | - Seiya Yamayoshi
- Division of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, Tokyo 108-8639, Japan;
- The Research Center for Global Viral Diseases, National Center for Global Health and Medicine Research Institute, Tokyo 162-8655, Japan
- Correspondence: (S.Y.); (Y.K.)
| | - Peter J. Halfmann
- Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI 53706, USA;
| | - Yoshihiro Kawaoka
- Division of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, Tokyo 108-8639, Japan;
- International Research Center for Infectious Diseases, Department of Special Pathogens, Institute of Medical Science, University of Tokyo, Tokyo 108-8639, Japan
- The Research Center for Global Viral Diseases, National Center for Global Health and Medicine Research Institute, Tokyo 162-8655, Japan
- Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI 53706, USA;
- Correspondence: (S.Y.); (Y.K.)
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Velasco JM, Shrestha S, Valderama MT, Shrestha J, Shrestha B, Diones PC, Leonardia S, Poolpanichupatam Y, Hussem K, Chua D, Navarro FC, Develos M, Macareo L, Ellison D, Fernandez S, Klungthong C. A multi-country field validation of the FluChip-8G Insight Assay. J Virol Methods 2020; 289:114029. [PMID: 33271255 DOI: 10.1016/j.jviromet.2020.114029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 11/20/2020] [Accepted: 11/23/2020] [Indexed: 10/22/2022]
Abstract
INTRODUCTION It is critical to rapidly detect novel and non-seasonal influenza strains. Currently available assays have limited sensitivity in detecting novel influenza subtypes. We performed a multi-country field validation of the FluChip-8G Insight, an assay able to detect and characterize influenza A/B viruses and non-seasonal influenza viruses. MATERIALS AND METHODS We evaluated the performance of the FluChip-8G Insight on nasal and throat swab clinical samples from Thailand, Philippines and Nepal. Influenza PCR positive and negative samples tested using the US CDC Human Influenza Dx Panel reference standard were selected for testing using the FluChip-8G Influenza Insight. RESULTS A total of 909 specimens were included in the analysis. The overall sensitivity and specificity of the FluChip-8G Insight to detect combined influenza A+B was 86 % and 100%, respectively. PPV and NPV were estimated at 100 % (95 % CI 99-100) and 73 % (95 % CI 68-78), respectively. Sensitivity across all influenza subtypes was 100% for specimens with <20 and 20-25 Ct values, respectively, but as Ct values increased, sensitivity across all influenza subtypes decreased significantly (p < 0.001) for specimens with Ct values ≥32. CONCLUSION The FluChip-8G Insight showed good precision and reproducibility among all 3 sites with robust identification of both influenza A and B targets with Ct values <32 and in the absence of co-infection. Positioning this platform in countries considered as hotspots for the emergence of novel/zoonotic influenza strains can increase the lead time in detecting and containing novel influenza strains with pandemic potential.
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Affiliation(s)
- John Mark Velasco
- U.S. Army Medical Directorate - Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand; University of the Philippines Manila, Ermita, Manila, Philippines.
| | - Sanjaya Shrestha
- Walter Reed/AFRIMS Research Unit Nepal (WARUN), Kathmandu, Nepal
| | - Maria Theresa Valderama
- U.S. Army Medical Directorate - Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand
| | - Jasmin Shrestha
- Walter Reed/AFRIMS Research Unit Nepal (WARUN), Kathmandu, Nepal
| | - Binob Shrestha
- Walter Reed/AFRIMS Research Unit Nepal (WARUN), Kathmandu, Nepal
| | - Paula Corazon Diones
- U.S. Army Medical Directorate - Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand
| | - Susie Leonardia
- U.S. Army Medical Directorate - Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand
| | - Yongyuth Poolpanichupatam
- U.S. Army Medical Directorate - Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand
| | - Kittinun Hussem
- U.S. Army Medical Directorate - Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand
| | - Domingo Chua
- V Luna Medical Center, Armed Forces of the Philippines Health Service Command, Quezon City, Philippines
| | - Fatima Claire Navarro
- V Luna Medical Center, Armed Forces of the Philippines Health Service Command, Quezon City, Philippines
| | - Maribel Develos
- V Luna Medical Center, Armed Forces of the Philippines Health Service Command, Quezon City, Philippines
| | - Louis Macareo
- U.S. Army Medical Directorate - Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand
| | - Damon Ellison
- U.S. Army Medical Directorate - Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand
| | - Stefan Fernandez
- U.S. Army Medical Directorate - Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand
| | - Chonticha Klungthong
- U.S. Army Medical Directorate - Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand.
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6
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Seki Y, Oda Y, Sugaya N. Very high sensitivity of a rapid influenza diagnostic test in adults and elderly individuals within 48 hours of the onset of illness. PLoS One 2020; 15:e0231217. [PMID: 32374728 PMCID: PMC7202626 DOI: 10.1371/journal.pone.0231217] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Accepted: 03/18/2020] [Indexed: 11/18/2022] Open
Abstract
During influenza epidemics, Japanese clinicians routinely perform rapid influenza diagnostic tests (RIDTs) in the examination of patients who have an influenza-like illness, and patients with positive test results, including otherwise healthy individuals, are treated with anti-influenza drugs. However, it was recently reported that the sensitivity of RIDTs was extremely low in adult patients. We examined the sensitivity and specificity of an RIDT that is widely used in Japan, ImunoAce Flu (TAUNS, Shizuoka, Japan), in comparison to reverse transcriptase polymerase chain reaction (RT-PCR). The sensitivity and specificity of the ImunoAce Flu test were 97.1% (95%CI: 93.8–98.9) and 89.2% (95%CI: 84.1–93.1), respectively. The ImunoAce Flu test is designed to not only detect influenza A or B, but also to detect H1N1pdm09 with the use of an additional test kit (Linjudge FluA/pdm). Its sensitivity and specificity for A/H1N1pdm09 were 97.6% (95%CI: 87.4–99.9) and 92.6% (95%CI: 82.1–97.9), respectively. Thus, by consecutively testing patients with the ImunoAce Flu test followed by the Linjudge FluA/pdm test, we are able to diagnose whether a patient has A/H1N1pdm09 or A/H3N2 infection within a short time. The reliability of rapid test results seems to be much higher in Japan than in other countries, because approximately 90% of influenza patients are tested and treated within 48 hours after the onset of illness, when the influenza viral load in the upper respiratory tract is high. From the Japanese experience, RIDTs are sufficiently sensitive and highly useful, if patients are tested within 48 hours after the onset of illness.
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MESH Headings
- Adult
- Age Factors
- Aged
- Aged, 80 and over
- Diagnostic Tests, Routine/methods
- Diagnostic Tests, Routine/standards
- Female
- Humans
- Immunoassay/methods
- Immunoassay/standards
- Influenza A Virus, H1N1 Subtype/genetics
- Influenza A Virus, H1N1 Subtype/immunology
- Influenza A Virus, H3N2 Subtype/genetics
- Influenza A Virus, H3N2 Subtype/immunology
- Influenza, Human/blood
- Influenza, Human/diagnosis
- Influenza, Human/epidemiology
- Influenza, Human/immunology
- Japan
- Male
- Mass Screening/methods
- Mass Screening/standards
- Middle Aged
- Reproducibility of Results
- Reverse Transcriptase Polymerase Chain Reaction
- Sensitivity and Specificity
- Time Factors
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Affiliation(s)
- Yuki Seki
- Department of Internal Medicine, Keiyu Hospital, Yokohama, Japan
| | - Yukio Oda
- Department of Clinical Laboratory, Keiyu Hospital, Yokohama, Japan
| | - Norio Sugaya
- Department of Pediatrics, Keiyu Hospital, Yokohama, Japan
- * E-mail:
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7
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Sakai-Tagawa Y, Yamayoshi S, Kawaoka Y. Sensitivity of Commercially Available Influenza Rapid Diagnostic Tests in the 2018-2019 Influenza Season. Front Microbiol 2019; 10:2342. [PMID: 31681207 PMCID: PMC6797548 DOI: 10.3389/fmicb.2019.02342] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Accepted: 09/25/2019] [Indexed: 12/14/2022] Open
Abstract
Epidemics of seasonal influenza caused by H1N1pdm09, H3N2, and type B viruses occur throughout the world. Sporadic human H5 and H7N9 virus infections are also reported in particular regions. To treat influenza patients effectively with antivirals, sensitive and broad-reactive influenza rapid diagnostic tests (IRDTs) are required. Here, we tested the sensitivity of 23 IRDTs during the 2018-2019 influenza season for their ability to detect H1N1pdm09, H3N2, H5N1, H5N6, H7N9, and Victoria- and Yamagata-lineage type B viruses. All IRDTs detected all influenza A and B viruses tested but with different sensitivities. Several IRDTs detected the H5 and H7 viruses and the seasonal viruses with similar sensitivity. Such IRDTs might be useful for diagnosing patients infected with H5 and H7 viruses.
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Affiliation(s)
- Yuko Sakai-Tagawa
- Division of Virology, Department of Microbiology and Immunology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Seiya Yamayoshi
- Division of Virology, Department of Microbiology and Immunology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Yoshihiro Kawaoka
- Division of Virology, Department of Microbiology and Immunology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin–Madison, Madison, WI, United States
- Department of Special Pathogens, International Research Center for Infectious Diseases, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
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8
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Castillejos M, Cabello-Gutiérrez C, Alberto Choreño-Parra J, Hernández V, Romo J, Hernández-Sánchez F, Martínez D, Hernández A, Jiménez-Álvarez L, Hernández-Cardenas CM, Becerril-Vargas E, Martínez-Orozco JA, Luis Sandoval-Gutiérrez J, Guadarrama C, Olvera-Masetto E, Alfaro-Ramos L, Cruz-Lagunas A, Ramírez G, Márquez E, Pimentel L, Regino-Zamarripa NE, Mendoza-Milla C, Goodina A, Hernández-Montiel E, Barquera R, Santibañez A, Domínguez-Cherit G, Pérez-Padilla R, Regalado J, Santillán-Doherty P, Salas-Hernández J, Zúñiga J. High performance of rapid influenza diagnostic test and variable effectiveness of influenza vaccines in Mexico. Int J Infect Dis 2019; 89:87-95. [PMID: 31493523 DOI: 10.1016/j.ijid.2019.08.029] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Revised: 08/11/2019] [Accepted: 08/28/2019] [Indexed: 01/07/2023] Open
Abstract
OBJECTIVES To evaluate the performance of rapid influenza diagnostic tests (RIDT) and influenza vaccines' effectiveness (VE) during an outbreak setting. METHODS We compared the performance of a RIDT with RT-PCR for influenza virus detection in influenza-like illness (ILI) patients enrolled during the 2016/17 season in Mexico City. Using the test-negative design, we estimated influenza VE in all participants and stratified by age, virus subtype, and vaccine type (trivalent vs quadrivalent inactivated vaccines). The protective value of some clinical variables was evaluated by regression analyses. RESULTS We enrolled 592 patients. RT-PCR detected 93 cases of influenza A(H1N1)pdm09, 55 of AH3N2, 141 of B, and 13 A/B virus infections. RIDT showed 90.7% sensitivity and 95.7% specificity for influenza A virus detection, and 91.5% sensitivity and 95.3% specificity for influenza B virus detection. Overall VE was 33.2% (95% CI: 3.0-54.0; p = 0.02) against any laboratory-confirmed influenza infection. VE estimates against influenza B were higher for the quadrivalent vaccine. Immunization and occupational exposure were protective factors against influenza. CONCLUSIONS The RIDT was useful to detect influenza cases during an outbreak setting. Effectiveness of 2016/17 influenza vaccines administered in Mexico was low but significant. Our data should be considered for future local epidemiological policies.
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Affiliation(s)
- Manuel Castillejos
- Institutional Influenza Committee, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - Carlos Cabello-Gutiérrez
- Department of Research in Virology and Mycology, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - José Alberto Choreño-Parra
- Laboratory of Immunobiology and Genetics, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico; Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Mexico City, Mexico
| | - Víctor Hernández
- Department of Research in Virology and Mycology, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - Javier Romo
- Institutional Influenza Committee, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - Fernando Hernández-Sánchez
- Department of Research in Virology and Mycology, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - Dina Martínez
- Institutional Influenza Committee, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - Andrés Hernández
- Institutional Influenza Committee, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - Luis Jiménez-Álvarez
- Laboratory of Immunobiology and Genetics, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - Carmen M Hernández-Cardenas
- Institutional Influenza Committee, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico; Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Mexico City, Mexico
| | - Eduardo Becerril-Vargas
- Institutional Influenza Committee, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - José A Martínez-Orozco
- Institutional Influenza Committee, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - José Luis Sandoval-Gutiérrez
- Institutional Influenza Committee, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - Cristóbal Guadarrama
- Institutional Influenza Committee, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - Enrique Olvera-Masetto
- Institutional Influenza Committee, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - Leticia Alfaro-Ramos
- Institutional Influenza Committee, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - Alfredo Cruz-Lagunas
- Laboratory of Immunobiology and Genetics, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - Gustavo Ramírez
- Laboratory of Immunobiology and Genetics, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - Eduardo Márquez
- Laboratory of Immunobiology and Genetics, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - Lisa Pimentel
- Laboratory of Immunobiology and Genetics, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico; Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Mexico City, Mexico
| | - Nora E Regino-Zamarripa
- Laboratory of Immunobiology and Genetics, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico; Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Mexico City, Mexico; Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Mexico City, Mexico
| | - Criselda Mendoza-Milla
- Laboratory of Immunobiology and Genetics, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - Aminadab Goodina
- Laboratory of Immunobiology and Genetics, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico; Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Mexico City, Mexico
| | - Erika Hernández-Montiel
- Laboratory of Immunobiology and Genetics, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico; Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Mexico City, Mexico
| | - Rodrigo Barquera
- Laboratory of Archeogenomics, Max Planck Institute, Gena, Germany
| | - Alfredo Santibañez
- Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Mexico City, Mexico; Laboratory of Archeogenomics, Max Planck Institute, Gena, Germany
| | - Guillermo Domínguez-Cherit
- Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Mexico City, Mexico; Critical Care Unit, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Rogelio Pérez-Padilla
- Institutional Influenza Committee, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - Justino Regalado
- Institutional Influenza Committee, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico; Dirección Médica, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - Patricio Santillán-Doherty
- Institutional Influenza Committee, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico; Dirección Médica, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - Jorge Salas-Hernández
- Institutional Influenza Committee, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico; Dirección General, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico.
| | - Joaquín Zúñiga
- Institutional Influenza Committee, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico; Laboratory of Immunobiology and Genetics, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico; Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Mexico City, Mexico.
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9
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Shinjoh M, Sugaya N, Furuichi M, Araki E, Maeda N, Isshiki K, Ohnishi T, Nakamura S, Yamada G, Narabayashi A, Nishida M, Taguchi N, Nakata Y, Yoshida M, Tsunematsu K, Shibata M, Munenaga T, Hirano Y, Ookawara I, Sekiguchi S, Kobayashi Y, Yamaguchi Y, Yoshida N, Mitamura K, Takahashi T. Effectiveness of inactivated influenza vaccine in children by vaccine dose, 2013-18. Vaccine 2019; 37:4047-4054. [PMID: 31186191 DOI: 10.1016/j.vaccine.2019.05.090] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Revised: 05/19/2019] [Accepted: 05/31/2019] [Indexed: 11/30/2022]
Abstract
OBJECTIVES We assessed the vaccine effectiveness (VE) of inactivated influenza vaccine (IIV) by vaccine dose in children aged 6 months to 12 years for whom two doses are recommended in Japan to ascertain the appropriate vaccine doses. METHODS VE was assessed according to a test-negative case-control design based on rapid influenza diagnostic test (RIDT) results. Children aged 6 months to 12 years with a fever ≥38 °C who had received an RIDT in outpatient clinics of 24 hospitals were enrolled for all five seasons since 2013/14. VE by vaccine dose (none vs. once or twice, and once vs. twice) was analyzed. RESULTS In the dose analysis, 20,033 children were enrolled. Both one- and two-dose regimens significantly reduced cases in preventing any influenza, influenza A, and influenza B, but there was no significant difference in adjusted VE between one- and two-dose regimens overall (adjusted OR, 0.560 [95% CI, 0.505-0.621], 0.550 [95% CI, 0.516-0.586]), 0.549 [95% CI, 0.517-0.583], and 1.014 [95% CI, 0.907-1.135], for none vs. once, none vs. twice, none vs. once or twice, and once vs. twice for any influenza, respectively). Both one- and two-dose regimens significantly reduced cases with any influenza and influenza A every season. Also, both regimens significantly reduced cases of any influenza, influenza A, and influenza B among children aged 1-12 years, especially among those aged 1-5 years. In the 2013/14, 2015/16, and 2016/17 seasons, however, only the two-dose regimen was significantly effective in preventing influenza B. Both one- and two-dose regimens significantly reduced cases involving hospitalization due to any influenza and influenza A. CONCLUSIONS Both one- and two-doses regimens of IIV were effective in preventing influenza for children aged 6 months to 12 years. The two-dose regimen was more effective against influenza B in some seasons.
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Affiliation(s)
- Masayoshi Shinjoh
- Department of Pediatrics, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan.
| | - Norio Sugaya
- Department of Pediatrics, Keiyu Hospital, 3-7-3 Minatomirai, Nishi-ku, Yokohama, 220-0012 Kanagawa, Japan; Department of Infection Control, Keiyu Hospital, 3-7-3 Minatomirai, Nishi-ku, Yokohama, 220-0012 Kanagawa, Japan
| | - Munehiro Furuichi
- Department of Pediatrics, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Eriko Araki
- Pediatrics, Yokohama City Municipal Hospital, 56 Okazawacho, Hodogaya-ku, Yokohama-city, Kanagawa 240-8555, Japan
| | - Naonori Maeda
- Department of Pediatrics, National Hospital Organization Tokyo Medical Center, 2-5-1, Higashigaoka, Meguro-ku, Tokyo 152-0021, Japan
| | - Kyohei Isshiki
- Department of Pediatrics, Saitama City Hospital, 2460 Mimuro, Midori-ku, Saitama-shi, Saitama 336-8522, Japan
| | - Takuma Ohnishi
- Department of Pediatrics, National Hospital Organization Saitama National Hospital, 2-1 Suwa, Wako-shi, Saitama 321-0102, Japan
| | - Shoko Nakamura
- Department of Pediatrics, Tokyo Metropolitan Ohtsuka Hospital, 2-8-1 Minamiohtsuka, Toshima-ku, Tokyo 170-8476, Japan
| | - Go Yamada
- Pediatrics, Saiseikai Utsunomiya Hospital, #201, 3-9-11 Nishiki, Utsunomiya-shi, Tochigi 321-0967, Japan
| | - Atsushi Narabayashi
- Department of Pediatrics, Kawasaki Municipal Hospital, 12-1 Shinkawadori, Kawasaki-ku, Kawasaki City, Kanagawa 210-0013, Japan
| | - Mitsuhiro Nishida
- Department of Pediatrics, Shizuoka City Shimizu Hospital, 1231 Miyakami, Shimizu-ku, Shizuoka-shi, Shizuoka 424-8636, Japan
| | - Nobuhiko Taguchi
- Department of Pediatrics, Keiyu Hospital, 3-7-3 Minatomirai, Nishi-ku, Yokohama-shi, Kanagawa 220-8581, Japan
| | - Yuji Nakata
- Department of Pediatrics, Nippon Koukan Hospital, 1-2-1 Koukandori, Kawasaki, Kanagawa 210-0852, Japan
| | - Makoto Yoshida
- Department of Pediatrics, Sano Kousei General Hospital, 1728 Horigome-cho, Sano City, Tochigi 327-8511, Japan
| | - Kenichiro Tsunematsu
- Department of Pediatrics, Hino Municipal Hospital, 4-3-1 Tamadaira, Hino-shi, Tokyo 191-0062, Japan
| | - Meiwa Shibata
- Division of Pediatrics, Yokohama Rosai Hospital, 3211 Kozukue-Cho, Kohoku-ku, Yokohama 222-0036, Japan
| | - Takeshi Munenaga
- Department of Pediatrics, Ota Memorial Hospital, 455-1 Oshima-chou, Ota-shi, Gumma 373-8585, Japan
| | - Yasuhiro Hirano
- Department of Pediatrics, Hiratsuka City Hospital, 1-19-1 Minamihara, Hiratsuka-Shi, Kanagawa 254-0065, Japan
| | - Ichiro Ookawara
- Department of Pediatrics, Japanese Red Cross Shizuoka Hospital, 8-2 Outemachi, Aoi-ku, Shizuoka 420-0853, Japan
| | - Shinichiro Sekiguchi
- Department of Pediatrics, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Yasuaki Kobayashi
- Department of Pediatrics, Japanese Red Cross Ashikaga Hospital, 284-1, Yobecho, Ashikaga, Tochigi 326-0843, Japan
| | - Yoshio Yamaguchi
- Institute of Clinical Research, Department of Infection & Allergy, National Hospital Organization Tochigi Medical Center, 1-10-37 Nakatomatsuri, Utsunomiya-shi, Tochigi 320-8580, Japan
| | - Naoko Yoshida
- Department of Infectious Diseases, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Keiko Mitamura
- Department of Pediatrics, Eiju General Hospital, 2-23-16 Higashi-Ueno, Taito-ku, Tokyo 110-8645, Japan
| | - Takao Takahashi
- Department of Pediatrics, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan
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10
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Zhu D, Lok C, Chao S, Chen L, Li R, Zhao Z, Dong J, Qin K, Zhao X. Detection and characterization of type B influenza virus from influenza-like illness cases during the 2017-2018 winter influenza season in Beijing, China. Arch Virol 2019; 164:995-1003. [PMID: 30729995 DOI: 10.1007/s00705-019-04160-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Accepted: 01/04/2019] [Indexed: 12/15/2022]
Abstract
In the winter of 2017-2018, there was significant influenza activity in China, resulting in unprecedented usage of influenza rapid antigen tests (IRAT) and neuraminidase inhibitors (NAIs). The aim of this study was to characterize the most prevalent influenza virus type in a clinical setting with respect to diagnosis and concomitant NAI treatment. From Dec 2017 to Jan 2018, 3257 patients with influenza-like illness (ILI) were screened using IRAT. We summarized and compared the results with the last influenza season. Subtyping of influenza B viruses and identification of NAI drug resistance mutations were carried out by sequencing the HA and NA genes and aligning these with genetic isotypes. The performance of IRAT and RT-PCR was compared. Screening results indicated that influenza B virus was the leading cause of this influenza epidemic, with children being more susceptible to infection than adults. Phylogenetic analysis revealed that the prevailing influenza B virus belonged to the Yamagata lineage and were genetically similar to strains isolated from North America in the same influenza season. Cross-continental spread of influenza/B/Yamagata occurred. NAI resistance mutations were not identified in the 18 samples analyzed. The current antiviral protocol was still effective for influenza B control. RT-PCR positivity was significantly higher than that of IRAT (P = 0.004). IRAT and RT-PCR had a consistency rate of 86.9%, with the consistency rates of the positive and negative cases being 54.3% and 97.3%, respectively. Clinicians should be alert to the possibility of obtaining false negative results when using IRAT, and RT-PCR is recommended to improve the accuracy of pathogen detection.
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Affiliation(s)
- Dong Zhu
- School of Clinical Medicine, Beijing Tsinghua Chang-gung Hospital, Tsinghua University, Beijing, People's Republic of China
| | - Chonghou Lok
- School of Clinical Medicine, Beijing Tsinghua Chang-gung Hospital, Tsinghua University, Beijing, People's Republic of China
| | - Shuang Chao
- School of Clinical Medicine, Beijing Tsinghua Chang-gung Hospital, Tsinghua University, Beijing, People's Republic of China
| | - Lingling Chen
- Key Laboratory for Medical Virology, National Institute for Viral Disease Control and Prevention, China CDC, National Health and Family Planning Commission, Beijing, People's Republic of China
| | - Runqing Li
- School of Clinical Medicine, Beijing Tsinghua Chang-gung Hospital, Tsinghua University, Beijing, People's Republic of China
| | - Zhipeng Zhao
- School of Clinical Medicine, Beijing Tsinghua Chang-gung Hospital, Tsinghua University, Beijing, People's Republic of China
| | - Jingxiao Dong
- School of Clinical Medicine, Beijing Tsinghua Chang-gung Hospital, Tsinghua University, Beijing, People's Republic of China
| | - Kun Qin
- Key Laboratory for Medical Virology, National Institute for Viral Disease Control and Prevention, China CDC, National Health and Family Planning Commission, Beijing, People's Republic of China.
| | - Xiuying Zhao
- School of Clinical Medicine, Beijing Tsinghua Chang-gung Hospital, Tsinghua University, Beijing, People's Republic of China.
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11
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Tabata KV, Minagawa Y, Kawaguchi Y, Ono M, Moriizumi Y, Yamayoshi S, Fujioka Y, Ohba Y, Kawaoka Y, Noji H. Antibody-free digital influenza virus counting based on neuraminidase activity. Sci Rep 2019; 9:1067. [PMID: 30705374 PMCID: PMC6355933 DOI: 10.1038/s41598-018-37994-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2018] [Accepted: 12/17/2018] [Indexed: 12/14/2022] Open
Abstract
There is large demand for a quantitative method for rapid and ultra-sensitive detection of the influenza virus. Here, we established a digital influenza virus counting (DIViC) method that can detect a single virion without antibody. In the assay, a virion is stochastically entrapped inside a femtoliter reactor array device for the fluorogenic assay of neuraminidase, and incubated for minutes. By analyzing 600,000 reactors, the practical limit of detection reached the order of 103 (PFU)/mL, only 10-times less sensitive than RT-PCR and more than 1000-times sensitive than commercial rapid test kits (RIDTs). Interestingly, neuraminidase activity differed among virions. The coefficient of variance was 30-40%, evidently broader than that of alkaline phosphatase measured as a model enzyme for comparison, suggesting the heterogeneity in size and integrity among influenza virus particles. Sensitivity to oseltamivir also differed between virions. We also tested DIViC using clinical gargle samples that imposes less burden for sampling while with less virus titre. The comparison with RIDTs showed that DIViC was largely superior to RIDTs in the sensitivity with the clinical samples although a few false-positive signals were observed in some clinical samples that remains as a technical challenge.
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Affiliation(s)
- Kazuhito V Tabata
- Department of Applied Chemistry, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Japan.
- ImPACT Program, Cabinet Office, Government of Japan, Chiyoda-ku, Tokyo, 100-8914, Japan.
| | - Yoshihiro Minagawa
- Department of Applied Chemistry, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Japan
| | - Yuko Kawaguchi
- Department of Applied Chemistry, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Japan
| | - Mana Ono
- Department of Applied Chemistry, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Japan
| | - Yoshiki Moriizumi
- Department of Applied Chemistry, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Japan
| | - Seiya Yamayoshi
- Division of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo, 108-8639, Japan
| | - Yoichiro Fujioka
- Department of Cell Physiology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, N15 W7, Kita-ku, Sapporo, Japan
| | - Yusuke Ohba
- Department of Cell Physiology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, N15 W7, Kita-ku, Sapporo, Japan
| | - Yoshihiro Kawaoka
- Division of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo, 108-8639, Japan
- Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, Wisconsin, 53711, USA
| | - Hiroyuki Noji
- Department of Applied Chemistry, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Japan.
- ImPACT Program, Cabinet Office, Government of Japan, Chiyoda-ku, Tokyo, 100-8914, Japan.
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12
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Yamayoshi S, Kawaoka Y. Current and future influenza vaccines. Nat Med 2019; 25:212-220. [PMID: 30692696 DOI: 10.1038/s41591-018-0340-z] [Citation(s) in RCA: 117] [Impact Index Per Article: 23.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2018] [Accepted: 12/19/2018] [Indexed: 11/09/2022]
Abstract
Although antiviral drugs and vaccines have reduced the economic and healthcare burdens of influenza, influenza epidemics continue to take a toll. Over the past decade, research on influenza viruses has revealed a potential path to improvement. The clues have come from accumulated discoveries from basic and clinical studies. Now, virus surveillance allows researchers to monitor influenza virus epidemic trends and to accumulate virus sequences in public databases, which leads to better selection of candidate viruses for vaccines and early detection of drug-resistant viruses. Here we provide an overview of current vaccine options and describe efforts directed toward the development of next-generation vaccines. Finally, we propose a plan for the development of an optimal influenza vaccine.
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Affiliation(s)
- Seiya Yamayoshi
- Division of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Yoshihiro Kawaoka
- Division of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, Tokyo, Japan. .,Department of Special Pathogens, International Research Center for Infectious Diseases, Institute of Medical Science, University of Tokyo, Tokyo, Japan. .,Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin Madison, Madison, WI, USA.
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13
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Shinjoh M, Sugaya N, Yamaguchi Y, Iibuchi N, Kamimaki I, Goto A, Kobayashi H, Kobayashi Y, Shibata M, Tamaoka S, Nakata Y, Narabayashi A, Nishida M, Hirano Y, Munenaga T, Morita K, Mitamura K, Takahashi T. Inactivated influenza vaccine effectiveness and an analysis of repeated vaccination for children during the 2016/17 season. Vaccine 2018; 36:5510-5518. [DOI: 10.1016/j.vaccine.2018.07.065] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2018] [Revised: 06/26/2018] [Accepted: 07/25/2018] [Indexed: 01/13/2023]
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14
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Influenza vaccine showed a good preventive effect against influenza-associated hospitalization among elderly patients, during the 2016/17 season in Japan. J Infect Chemother 2018; 24:873-880. [PMID: 30100400 DOI: 10.1016/j.jiac.2018.07.013] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2018] [Revised: 06/28/2018] [Accepted: 07/18/2018] [Indexed: 01/09/2023]
Abstract
The 2016/17 influenza season in Japan was characterized by a predominance of influenza A (H3N2) activity; with H3N2 accounting for 85% of all detected influenza virus infections. We assessed the vaccine effectiveness (VE) of an inactivated quadrivalent influenza vaccine (IIV4) in adult patients, using a test-negative case-control design study based on the results of a rapid influenza diagnostic test (RIDT). Between November 2016 and March 2017, a total of 1048 adult patients were enrolled: including 363 RIDT positive for influenza A, 9 RIDT-positive for influenza B, and 676 RIDT-negative. During the 2016/17 season, the overall adjusted VE was 28.8% (95% confidence interval [CI]: 6.3-46%). The adjusted VE against influenza A was 27.4% (95%CI: 4.4-45%). The VE against influenza B could not be estimated because of the very low number of influenza B patients. Twenty-nine patients were hospitalized due to influenza-associated illness-during the present study, all of whom were infected with influenza A virus. The adjusted VE, determined using a case-control study, for preventing hospitalization for influenza A infection was 72.6% (95%CI: 30.7-89.1%). In addition, the VE for preventing hospitalization of influenza patients with comorbidities was 78.2% (95%CI: 41.1-92%). Our study showed that, during the 2016/17season, IIV4 was effective for preventing both the onset of influenza and influenza-associated hospitalization.
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15
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Takahashi H, Nagata S, Odagiri T, Kageyama T. Establishment of the cross-clade antigen detection system for H5 subtype influenza viruses using peptide monoclonal antibodies specific for influenza virus H5 hemagglutinin. Biochem Biophys Res Commun 2018. [PMID: 29524417 DOI: 10.1016/j.bbrc.2018.03.054] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
The H5 subtype of highly pathogenic avian influenza (H5 HPAI) viruses is a threat to both animal and human public health and has the potential to cause a serious future pandemic in humans. Thus, specific and rapid detection of H5 HPAI viruses is required for infection control in humans. To develop a simple and rapid diagnostic system to detect H5 HPAI viruses with high specificity and sensitivity, we attempted to prepare monoclonal antibodies (mAbs) that specifically recognize linear epitopes in hemagglutinin (HA) of H5 subtype viruses. Nine mAb clones were obtained from mice immunized with a synthetic partial peptide of H5 HA molecules conserved among various H5 HPAI viruses. The antigen-capture enzyme-linked immunosorbent assay using the most suitable combination of these mAbs, which bound specifically to lysed H5 HA under an optimized detergent condition, was specific for H5 viruses and could broadly detect H5 viruses in multiple different clades. Taken together, these peptide mAbs, which recognize linear epitopes in a highly conserved region of H5 HA, may be useful for specific and highly sensitive detection of H5 HPAI viruses and can help in the rapid diagnosis of human, avian, and animal H5 virus infections.
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MESH Headings
- Animals
- Antibodies, Monoclonal/chemistry
- Antibodies, Monoclonal/immunology
- Enzyme-Linked Immunosorbent Assay/methods
- Hemagglutinin Glycoproteins, Influenza Virus/analysis
- Hemagglutinin Glycoproteins, Influenza Virus/immunology
- Humans
- Influenza A Virus, H5N1 Subtype/immunology
- Influenza A Virus, H5N1 Subtype/isolation & purification
- Influenza A Virus, H5N2 Subtype/immunology
- Influenza A Virus, H5N2 Subtype/isolation & purification
- Influenza A Virus, H5N8 Subtype/immunology
- Influenza A Virus, H5N8 Subtype/isolation & purification
- Influenza, Human/diagnosis
- Influenza, Human/immunology
- Influenza, Human/virology
- Mice, Inbred BALB C
- Orthomyxoviridae Infections/diagnosis
- Orthomyxoviridae Infections/immunology
- Orthomyxoviridae Infections/virology
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Affiliation(s)
- Hitoshi Takahashi
- Influenza Virus Research Center, National Institute of Infectious Diseases, Tokyo, Japan.
| | - Shiho Nagata
- Influenza Virus Research Center, National Institute of Infectious Diseases, Tokyo, Japan.
| | - Takato Odagiri
- Influenza Virus Research Center, National Institute of Infectious Diseases, Tokyo, Japan.
| | - Tsutomu Kageyama
- Influenza Virus Research Center, National Institute of Infectious Diseases, Tokyo, Japan.
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