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Kollath DR, Grill FJ, Itogawa AN, Fabio-Braga A, Morales MM, Shepardson KM, Bryant ML, Yi J, Ramsey ML, Luberto ET, Celona KR, Keim PS, Settles EW, Lake D, Barker BM. Developing a Coccidioides posadasii and SARS-CoV-2 Co-infection Model in the K18-hACE2 Transgenic Mouse. COMMUNICATIONS MEDICINE 2024; 4:186. [PMID: 39349727 PMCID: PMC11442577 DOI: 10.1038/s43856-024-00610-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 09/16/2024] [Indexed: 10/04/2024] Open
Abstract
BACKGROUND Early reports showed that patients with COVID-19 had recrudescence of previously resolved coccidioidomycosis (Valley fever, VF), and there were indications that coinfection had more severe outcomes. We therefore investigated serial infection of Coccidioides posadasii and SARS-CoV-2 in a K18-hACE2 mouse model to assess disease outcomes. METHODS In our model, we challenged K18-hACE2 mice sequentially with a sub-lethal dose of SARS-CoV-2 and 24 hours later with low virulence strain of Coccidioides posadasii, and vice versa, compared to mice that only received a single infection challenge. We performed survival and pathogenesis mouse studies as well as looked at the systemic immune response differences between treatment groups. RESULTS Here we show that co-infected groups have a more severe disease progression as well as a decrease in survival. Importantly, results differ depending on the SARS-CoV-2 variant (WA-1, Delta, or Omicron) and infection timing (SARS-CoV-2 first, C. posadasii second or vice versa). We find that groups that are infected with the virus first had a decrease in survival, increased morbidity and weight loss, increased fungal and viral burdens, differences in immune responses, and the amount and size of fungal spherules. We also find that groups coinfected with C. posadasii first have a decrease fungal burden and inflammatory responses. CONCLUSIONS This is the first in vivo model investigation of a coinfection of SARS-CoV-2 and Coccidioides. Because of the potential for increased severity of disease in a coinfection, we suggest populations that live in areas of high coccidioidomycosis endemicity may experience higher incidence of complicated disease progression with COVID-19.
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Affiliation(s)
- Daniel R Kollath
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | | | - Ashley N Itogawa
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Ana Fabio-Braga
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Matthew M Morales
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Kelly M Shepardson
- University of California, Merced, Department of Molecular Cell Biology, Merced, CA, USA
| | - Mitchell L Bryant
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Jinhee Yi
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Marieke L Ramsey
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Emily T Luberto
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Kimberly R Celona
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Paul S Keim
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Erik W Settles
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Douglas Lake
- School of Life Sciences at Arizona State University, Tempe, AZ, USA
| | - Bridget M Barker
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA.
- Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA.
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Oğuzoğlu TÇ, Hanifehnezhad A, Khabbazi SD, Karayel-Hacıoğlu İ, Kaynarcalıdan O, Fırat Z, Filazi N, Erdem-Şahinkesen E, Gül B, Karabulut MC, Koba E, Adıgüzel E, Şenlik Eİ, Korkulu E, Demirden C, Şahinkesen İ, Ceylan A, Muratoğlu H, Vural S, Demirbağ Z, Özkul A. Immunogenicity and Protective Efficacy of Baculovirus-Expressed SARS-CoV-2 Envelope Protein in Mice as a Universal Vaccine Candidate. Vaccines (Basel) 2024; 12:977. [PMID: 39340009 PMCID: PMC11435448 DOI: 10.3390/vaccines12090977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2024] [Revised: 08/02/2024] [Accepted: 08/15/2024] [Indexed: 09/30/2024] Open
Abstract
The envelope (env) protein of SARS-CoV-2, a pivotal component of the viral architecture, plays a multifaceted role in viral assembly, replication, pathogenesis, and ion channel activity. These features make it a significant target for understanding virus-host interactions and developing vaccines to combat COVID-19. Recent structural studies provide valuable insights into the conformational dynamics and membrane topology of the SARS-CoV-2 env protein, shedding light on its functional mechanisms. The strong homology and highly conserved structure of the SARS-CoV-2 env protein shape its immunogenicity and functional characteristics. This study examines the ability of the recombinant SARS-CoV-2 env protein to stimulate an immune response. In this study, recombinant envelope proteins were produced using the baculovirus expression system, and their potential efficacy was evaluated in both in vivo and in vitro models. Our results reveal that the env protein of SARS-CoV-2 stimulates humoral and cellular responses and highlight its potential as a promising vaccine candidate for combating the ongoing pandemic.
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Affiliation(s)
- Tuba Çiğdem Oğuzoğlu
- Department of Virology, Faculty of Veterinary Medicine, Ankara University, Ankara 06070, Türkiye
| | - Alireza Hanifehnezhad
- Department of Virology, Faculty of Veterinary Medicine, Ankara University, Ankara 06070, Türkiye
| | - Saber Delpasand Khabbazi
- Department of Agriculture and Food, Institute of Hemp Research, Yozgat Bozok University, Yozgat 66900, Türkiye
| | - İlke Karayel-Hacıoğlu
- Department of Virology, Faculty of Veterinary Medicine, Ankara University, Ankara 06070, Türkiye
| | - Onur Kaynarcalıdan
- Institute for Virology, Düsseldorf University Hospital, Heinrich-Heine-University, 40225 Düsseldorf, Germany
| | - Zehra Fırat
- Biotechnology Institute, Ankara University, Ankara 06560, Türkiye
| | - Nazlıcan Filazi
- Graduate School of Health Sciences, Ankara University, Ankara 06560, Türkiye
- Department of Virology, Faculty of Veterinary Medicine, Hatay Mustafa Kemal University, Hatay 31040, Türkiye
| | - Eda Erdem-Şahinkesen
- Graduate School of Health Sciences, Ankara University, Ankara 06560, Türkiye
- Department of Vaccine Technology, Vaccine Institute, Hacettepe University, Ankara 06100, Türkiye
| | - Buket Gül
- Graduate School of Health Sciences, Ankara University, Ankara 06560, Türkiye
| | - Muhammed Cesim Karabulut
- Department of Virology, Faculty of Veterinary Medicine, Ankara University, Ankara 06070, Türkiye
- Graduate School of Health Sciences, Ankara University, Ankara 06560, Türkiye
| | - Enes Koba
- Graduate School of Health Sciences, Ankara University, Ankara 06560, Türkiye
| | - Ece Adıgüzel
- Republic of Türkiye Ministry of Agriculture and Forestry, Atkaracalar District Directorate, Çankırı 18310, Türkiye
| | - Elif İrem Şenlik
- Graduate School of Health Sciences, Ankara University, Ankara 06560, Türkiye
| | - Emrah Korkulu
- Graduate School of Health Sciences, Ankara University, Ankara 06560, Türkiye
- Department of Virology, Faculty of Veterinary Medicine, Kafkas University, Kars 36000, Türkiye
| | - Cansu Demirden
- Graduate School of Health Sciences, Ankara University, Ankara 06560, Türkiye
- Republic of Türkiye Ministry of Agriculture and Forestry, East Anatolian Agricultural Research Institute, Erzurum 25090, Türkiye
| | - İlker Şahinkesen
- Diagen Biotechnological Systems Health Services and Automation Industry, Ankara 06070, Türkiye
| | - Ahmet Ceylan
- Department of Histology and Embryology, Faculty of Veterinary Medicine, Ankara University, Ankara 06070, Türkiye
| | - Hacer Muratoğlu
- Department of Molecular Biology and Genetics, Faculty of Sciences, Karadeniz Technical University, Trabzon 61080, Türkiye
| | - Sevil Vural
- Department of Pathology, Faculty of Veterinary Medicine, Ankara University, Ankara 06070, Türkiye
| | - Zihni Demirbağ
- Department of Biology, Faculty of Sciences, Karadeniz Technical University, Trabzon 61080, Türkiye
| | - Aykut Özkul
- Department of Virology, Faculty of Veterinary Medicine, Ankara University, Ankara 06070, Türkiye
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3
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Kitamura S, Lin TH, Lee CCD, Takamura A, Kadam RU, Zhang D, Zhu X, Dada L, Nagai E, Yu W, Yao Y, Sharpless KB, Wilson IA, Wolan DW. Ultrapotent influenza hemagglutinin fusion inhibitors developed through SuFEx-enabled high-throughput medicinal chemistry. Proc Natl Acad Sci U S A 2024; 121:e2310677121. [PMID: 38753503 PMCID: PMC11145270 DOI: 10.1073/pnas.2310677121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Accepted: 04/19/2024] [Indexed: 05/18/2024] Open
Abstract
Seasonal and pandemic-associated influenza strains cause highly contagious viral respiratory infections that can lead to severe illness and excess mortality. Here, we report on the optimization of our small-molecule inhibitor F0045(S) targeting the influenza hemagglutinin (HA) stem with our Sulfur-Fluoride Exchange (SuFEx) click chemistry-based high-throughput medicinal chemistry (HTMC) strategy. A combination of SuFEx- and amide-based lead molecule diversification and structure-guided design led to identification and validation of ultrapotent influenza fusion inhibitors with subnanomolar EC50 cellular antiviral activity against several influenza A group 1 strains. X-ray structures of six of these compounds with HA indicate that the appended moieties occupy additional pockets on the HA surface and increase the binding interaction, where the accumulation of several polar interactions also contributes to the improved affinity. The compounds here represent the most potent HA small-molecule inhibitors to date. Our divergent HTMC platform is therefore a powerful, rapid, and cost-effective approach to develop bioactive chemical probes and drug-like candidates against viral targets.
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Affiliation(s)
- Seiya Kitamura
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA92037
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA92037
- Department of Chemistry, The Scripps Research Institute, La Jolla, CA92037
- Department of Biochemistry, Albert Einstein College of Medicine, Bronx, NY10461
| | - Ting-Hui Lin
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA92037
| | - Chang-Chun David Lee
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA92037
| | - Akihiro Takamura
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA92037
| | - Rameshwar U. Kadam
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA92037
| | - Ding Zhang
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA92037
| | - Xueyong Zhu
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA92037
| | - Lucas Dada
- Department of Biochemistry, Albert Einstein College of Medicine, Bronx, NY10461
| | - Emiko Nagai
- Department of Biochemistry, Albert Einstein College of Medicine, Bronx, NY10461
| | - Wenli Yu
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA92037
| | - Yao Yao
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA92037
| | - K. Barry Sharpless
- Department of Chemistry, The Scripps Research Institute, La Jolla, CA92037
| | - Ian A. Wilson
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA92037
- The Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, CA92037
| | - Dennis W. Wolan
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA92037
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA92037
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4
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Choi YJ, Sohn JW, Choi WS, Wie SH, Lee J, Lee JS, Jeong HW, Eom JS, Nham E, Seong H, Yoon JG, Noh JY, Song JY, Cheong HJ, Kim WJ. Interim Estimates of 2023-2024 Seasonal Influenza Vaccine Effectiveness Among Adults in Korea. J Korean Med Sci 2024; 39:e146. [PMID: 38651226 PMCID: PMC11035711 DOI: 10.3346/jkms.2024.39.e146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Accepted: 04/01/2024] [Indexed: 04/25/2024] Open
Abstract
In the 2023-2024 season, the influenza epidemic in South Korea peaked earlier than in recent years. In this study, we aimed to estimate the interim vaccine effectiveness (VE) of the influenza vaccination to prevent influenza during the early season. From November 1, 2023, to December 31, 2023, we enrolled 2,632 subjects with influenza-like illness from eight hospitals participating in hospital-based influenza morbidity and mortality surveillance. A retrospective test-negative case-control study was conducted to estimate the VE. The results showed an adjusted VE of 22.5% (95% confidence interval [CI], 6.6 to 35.8) for the total population. The adjusted VE was 22.3% (95% CI, 6.1 to 35.7) for influenza A and 9.4% (95% CI, -51.3 to 45.7) for influenza A/H1N1. Full results of the analysis will be reported.
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Affiliation(s)
- Yu Jung Choi
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
- Vaccine Innovation Center-KU Medicine (VIC-K), Seoul, Korea
| | - Jang Wook Sohn
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
- Vaccine Innovation Center-KU Medicine (VIC-K), Seoul, Korea
| | - Won Suk Choi
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
- Vaccine Innovation Center-KU Medicine (VIC-K), Seoul, Korea
| | - Seong-Heon Wie
- Division of Infectious Diseases, Department of Internal Medicine, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jacob Lee
- Division of Infectious Diseases, Department of Internal Medicine, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Korea
| | - Jin-Soo Lee
- Division of Infectious Diseases, Department of Internal Medicine, Inha University School of Medicine, Incheon, Korea
| | - Hye Won Jeong
- Devision of Infectious Disease, Department of Internal Medicine, Chungbuk National University College of Medicine, Cheongju, Korea
| | - Joong Sik Eom
- Division of Infectious Diseases, Department of Internal Medicine, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Eliel Nham
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
- Vaccine Innovation Center-KU Medicine (VIC-K), Seoul, Korea
| | - Hye Seong
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
- Vaccine Innovation Center-KU Medicine (VIC-K), Seoul, Korea
| | - Jin Gu Yoon
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
- Vaccine Innovation Center-KU Medicine (VIC-K), Seoul, Korea
| | - Ji Yun Noh
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
- Vaccine Innovation Center-KU Medicine (VIC-K), Seoul, Korea
| | - Joon Young Song
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
- Vaccine Innovation Center-KU Medicine (VIC-K), Seoul, Korea
| | - Hee Jin Cheong
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
- Vaccine Innovation Center-KU Medicine (VIC-K), Seoul, Korea
| | - Woo Joo Kim
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
- Vaccine Innovation Center-KU Medicine (VIC-K), Seoul, Korea.
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5
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Lewis NM, Zhu Y, Peltan ID, Gaglani M, McNeal T, Ghamande S, Steingrub JS, Shapiro NI, Duggal A, Bender WS, Taghizadeh L, Brown SM, Hager DN, Gong MN, Mohamed A, Exline MC, Khan A, Wilson JG, Qadir N, Chang SY, Ginde AA, Mohr NM, Mallow C, Lauring AS, Johnson NJ, Gibbs KW, Kwon JH, Columbus C, Gottlieb RL, Raver C, Vaughn IA, Ramesh M, Johnson C, Lamerato L, Safdar B, Casey JD, Rice TW, Halasa N, Chappell JD, Grijalva CG, Talbot HK, Baughman A, Womack KN, Swan SA, Harker E, Price A, DeCuir J, Surie D, Ellington S, Self WH. Vaccine Effectiveness Against Influenza A-Associated Hospitalization, Organ Failure, and Death: United States, 2022-2023. Clin Infect Dis 2024; 78:1056-1064. [PMID: 38051664 PMCID: PMC11487098 DOI: 10.1093/cid/ciad677] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 11/07/2023] [Indexed: 12/07/2023] Open
Abstract
BACKGROUND Influenza circulation during the 2022-2023 season in the United States largely returned to pre-coronavirus disease 2019 (COVID-19)-pandemic patterns and levels. Influenza A(H3N2) viruses were detected most frequently this season, predominately clade 3C.2a1b.2a, a close antigenic match to the vaccine strain. METHODS To understand effectiveness of the 2022-2023 influenza vaccine against influenza-associated hospitalization, organ failure, and death, a multicenter sentinel surveillance network in the United States prospectively enrolled adults hospitalized with acute respiratory illness between 1 October 2022, and 28 February 2023. Using the test-negative design, vaccine effectiveness (VE) estimates against influenza-associated hospitalization, organ failures, and death were measured by comparing the odds of current-season influenza vaccination in influenza-positive case-patients and influenza-negative, SARS-CoV-2-negative control-patients. RESULTS A total of 3707 patients, including 714 influenza cases (33% vaccinated) and 2993 influenza- and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-negative controls (49% vaccinated) were analyzed. VE against influenza-associated hospitalization was 37% (95% confidence interval [CI]: 27%-46%) and varied by age (18-64 years: 47% [30%-60%]; ≥65 years: 28% [10%-43%]), and virus (A[H3N2]: 29% [6%-46%], A[H1N1]: 47% [23%-64%]). VE against more severe influenza-associated outcomes included: 41% (29%-50%) against influenza with hypoxemia treated with supplemental oxygen; 65% (56%-72%) against influenza with respiratory, cardiovascular, or renal failure treated with organ support; and 66% (40%-81%) against influenza with respiratory failure treated with invasive mechanical ventilation. CONCLUSIONS During an early 2022-2023 influenza season with a well-matched influenza vaccine, vaccination was associated with reduced risk of influenza-associated hospitalization and organ failure.
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Affiliation(s)
- Nathaniel M Lewis
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - Yuwei Zhu
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Ithan D Peltan
- Department of Medicine, Intermountain Medical Center, Murray, Utah, and University of Utah, Salt Lake City, Utah, USA
| | - Manjusha Gaglani
- Baylor Scott and White Health, Temple and Dallas, Texas, and Texas A&M University College of Medicine, Temple, Texas, USA
| | - Tresa McNeal
- Baylor Scott and White Health, and Baylor College of Medicine, Temple, Texas, USA
| | - Shekhar Ghamande
- Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Jay S Steingrub
- Department of Medicine, Baystate Medical Center, Springfield, Massachusetts, USA
| | - Nathan I Shapiro
- Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Abhijit Duggal
- Department of Medicine, Cleveland Clinic, Cleveland, Ohio, USA
| | | | - Leyla Taghizadeh
- Department of Emergency Medicine, Hennepin County Medical Center, Minneapolis, Minnesota, USA
| | - Samuel M Brown
- Department of Medicine, Intermountain Medical Center, Murray, Utah, and University of Utah, Salt Lake City, Utah, USA
| | - David N Hager
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Michelle N Gong
- Department of Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Amira Mohamed
- Department of Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Matthew C Exline
- Department of Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Akram Khan
- Department of Medicine, Oregon Health and Sciences University, Portland, Oregon, USA
| | - Jennifer G Wilson
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Nida Qadir
- Department of Medicine, University of California-Los Angeles, Los Angeles, California, USA
| | - Steven Y Chang
- Department of Medicine, University of California-Los Angeles, Los Angeles, California, USA
| | - Adit A Ginde
- Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Nicholas M Mohr
- Carver College of Medicine, University of Iowa, Iowa City, Iowa, USA
| | | | - Adam S Lauring
- Departments of Internal Medicine and Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, USA
| | - Nicholas J Johnson
- Department of Emergency Medicine and Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, Washington, USA
| | - Kevin W Gibbs
- Department of Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Jennie H Kwon
- Department of Medicine, Washington University, St.Louis, Missouri, USA
| | | | - Robert L Gottlieb
- Baylor University Medical Center Dallas, Baylor, Scott & White Heart and Vascular Hospital, Baylor, Scott and White Research Institute, Dallas, Texas, USA
| | | | - Ivana A Vaughn
- Department of Public Health Sciences, Henry Ford Health, Detroit, Michigan, USA
| | - Mayur Ramesh
- Division of Infectious Diseases, Henry Ford Health, Detroit, Michigan, USA
| | - Cassandra Johnson
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Lois Lamerato
- Department of Public Health Sciences, Henry Ford Health, Detroit, Michigan, USA
| | - Basmah Safdar
- Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Jonathan D Casey
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Todd W Rice
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Natasha Halasa
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - James D Chappell
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Carlos G Grijalva
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - H Keipp Talbot
- Departments of Medicine and Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Adrienne Baughman
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kelsey N Womack
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Sydney A Swan
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Elizabeth Harker
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - Ashley Price
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - Jennifer DeCuir
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - Diya Surie
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - Sascha Ellington
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - Wesley H Self
- Department of Emergency Medicine, Vanderbilt Institute for Clinical and Translational Research, and Vanderbilt University Medical Center, Nashville, Tennessee, USA
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6
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Frutos AM, Price AM, Harker E, Reeves EL, Ahmad HM, Murugan V, Martin ET, House S, Saade EA, Zimmerman RK, Gaglani M, Wernli KJ, Walter EB, Michaels MG, Staat MA, Weinberg GA, Selvarangan R, Boom JA, Klein EJ, Halasa NB, Ginde AA, Gibbs KW, Zhu Y, Self WH, Tartof SY, Klein NP, Dascomb K, DeSilva MB, Weber ZA, Yang DH, Ball SW, Surie D, DeCuir J, Dawood FS, Moline HL, Toepfer AP, Clopper BR, Link-Gelles R, Payne AB, Chung JR, Flannery B, Lewis NM, Olson SM, Adams K, Tenforde MW, Garg S, Grohskopf LA, Reed C, Ellington S. Interim Estimates of 2023-24 Seasonal Influenza Vaccine Effectiveness - United States. MMWR. MORBIDITY AND MORTALITY WEEKLY REPORT 2024; 73:168-174. [PMID: 38421935 PMCID: PMC10907036 DOI: 10.15585/mmwr.mm7308a3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
In the United States, annual influenza vaccination is recommended for all persons aged ≥6 months. Using data from four vaccine effectiveness (VE) networks during the 2023-24 influenza season, interim influenza VE was estimated among patients aged ≥6 months with acute respiratory illness-associated medical encounters using a test-negative case-control study design. Among children and adolescents aged 6 months-17 years, VE against influenza-associated outpatient visits ranged from 59% to 67% and against influenza-associated hospitalization ranged from 52% to 61%. Among adults aged ≥18 years, VE against influenza-associated outpatient visits ranged from 33% to 49% and against hospitalization from 41% to 44%. VE against influenza A ranged from 46% to 59% for children and adolescents and from 27% to 46% for adults across settings. VE against influenza B ranged from 64% to 89% for pediatric patients in outpatient settings and from 60% to 78% for all adults across settings. These findings demonstrate that the 2023-24 seasonal influenza vaccine is effective at reducing the risk for medically attended influenza virus infection. CDC recommends that all persons aged ≥6 months who have not yet been vaccinated this season get vaccinated while influenza circulates locally.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - CDC Influenza Vaccine Effectiveness Collaborators
- Influenza Division, National Center for Immunization and Respiratory Diseases, CDC; Epidemic Intelligence Service, CDC; Biodesign Center for Personalized Diagnostics, Arizona State University, Tempe, Arizona; University of Michigan School of Public Health, Ann Arbor, Michigan; Washington University School of Medicine in St. Louis, St. Louis, Missouri; University Hospitals of Cleveland, Cleveland, Ohio; University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania; Baylor Scott & White Health, Temple, Texas; Baylor College of Medicine, Temple, Texas; Texas A&M University College of Medicine, Temple, Texas; Kaiser Permanente Washington Health Research Institute, Seattle, Washington; Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California; Duke Human Vaccine Institute, Duke University School of Medicine, Durham, North Carolina; UPMC Children’s Hospital of Pittsburgh, Pittsburgh, Pennsylvania; University of Cincinnati College of Medicine, Cincinnati, Ohio; Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio; University of Rochester School of Medicine and Dentistry, Rochester, New York; University of Missouri-Kansas City School of Medicine, Kansas City, Missouri; Children’s Mercy Hospital, Kansas City, Missouri; Baylor College of Medicine, Houston, Texas; Texas Children’s Hospital, Houston, Texas; Seattle Children’s Research Institute, Seattle, Washington; Vanderbilt University Medical Center, Nashville, Tennessee; University of Colorado School of Medicine, Aurora, Colorado; Wake Forest University School of Medicine, Winston-Salem, North Carolina; Kaiser Permanente Department of Research & Evaluation, Pasadena, California; Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California; Division of Infectious Diseases and Clinical Epidemiology, Intermountain Health, Salt Lake City, Utah; HealthPartners Institute, Minneapolis, Minnesota; Westat, Rockville, Maryland; Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, CDC
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7
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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] [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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8
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Fornaguera M, Parés-Badell O, Carbonés-Fargas Í, Andrés C, Rodrigo-Pendás JÁ, Borras-Bermejo B, Armadans-Gil L, Tejada G, Guananga D, Vivet-Escalé M, Peñalver-Piñol A, Torrecilla-Martínez I, Del Oso A, Martínez-Gómez X, Antón A, Otero-Romero S. Influenza Vaccine Effectiveness against Hospitalization, Season 2021/22: A Test-Negative Design Study in Barcelona. Vaccines (Basel) 2023; 11:1450. [PMID: 37766127 PMCID: PMC10534370 DOI: 10.3390/vaccines11091450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 08/27/2023] [Accepted: 08/30/2023] [Indexed: 09/29/2023] Open
Abstract
BACKGROUND Vaccination is considered the most effective measure for preventing influenza and its complications. The influenza vaccine effectiveness (IVE) varies annually due to the evolution of influenza viruses and the update of vaccine composition. Assessing the IVE is crucial to facilitate decision making in public health policies. AIM to estimate the IVE against hospitalization and its determinants in the 2021/22 season in a Spanish tertiary hospital. METHODS We conducted a prospective observational test-negative design study within the Development of Robust and Innovative Vaccine Effectiveness (DRIVE) project. Hospitalized patients with severe acute respiratory infection (SARI) and an available influenza reverse transcription polymerase chain reaction (RT-PCR) were selected and classified as cases (positive influenza RT-PCR) or controls (negative influenza RT-PCR). Vaccine information was obtained from electronic clinical records shared by public healthcare providers. Information about potential confounders was obtained from hospital clinical registries. The IVE was calculated by subtracting the ratio of the odds of vaccination in cases and controls from one, as a percentage (IVE = (1 - odds ratio (OR)) × 100). Multivariate IVE estimates were calculated using logistic regression. RESULTS In total, 260 severe acute respiratory infections (SARI) were identified, of which 34 were positive for influenza, and all were subtype A(H3N2). Fifty-three percent were vaccinated. Adjusted IVE against hospitalization was 26.4% (95% CI -69% to 112%). IVE determinants could not be explored due to sample size limitations. CONCLUSION Our data revealed non-significant moderate vaccine effectiveness against hospitalization for the 2021/2022 season.
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Affiliation(s)
- Mar Fornaguera
- Servei de Medicina Preventiva i Epidemiologia, Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
- Grup de recerca de Epidemiologia i Salut Pública, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
| | - Oleguer Parés-Badell
- Servei de Medicina Preventiva i Epidemiologia, Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
- Grup de recerca de Epidemiologia i Salut Pública, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
- Unitat Docent Vall d'Hebron, Universitat Autònoma de Barcelona, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
| | - Íngrid Carbonés-Fargas
- Grup de recerca de Epidemiologia i Salut Pública, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
| | - Cristina Andrés
- Respiratory Virus Unit, Microbiology Department, Vall d'Hebron Research Institute, Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035 Barcleona, Spain
- CIBERINFEC, ISCIII-CIBER de Enfermedades Infecciosas, Instituto de Salud Carlos III, Av. de Monforte de Lemos, 5, 28029 Madrid, Spain
| | - José Ángel Rodrigo-Pendás
- Servei de Medicina Preventiva i Epidemiologia, Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
- Grup de recerca de Epidemiologia i Salut Pública, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
| | - Blanca Borras-Bermejo
- Servei de Medicina Preventiva i Epidemiologia, Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
- Grup de recerca de Epidemiologia i Salut Pública, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
- Unitat Docent Vall d'Hebron, Universitat Autònoma de Barcelona, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
| | - Lluís Armadans-Gil
- Servei de Medicina Preventiva i Epidemiologia, Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
- Grup de recerca de Epidemiologia i Salut Pública, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
- Unitat Docent Vall d'Hebron, Universitat Autònoma de Barcelona, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
| | - Gabriela Tejada
- Servei de Medicina Preventiva i Epidemiologia, Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
- Grup de recerca de Epidemiologia i Salut Pública, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
| | - David Guananga
- Servei de Medicina Preventiva i Epidemiologia, Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
- Grup de recerca de Epidemiologia i Salut Pública, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
| | - Martí Vivet-Escalé
- Servei de Medicina Preventiva i Epidemiologia, Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
- Grup de recerca de Epidemiologia i Salut Pública, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
| | - Arnau Peñalver-Piñol
- Servei de Medicina Preventiva i Epidemiologia, Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
- Grup de recerca de Epidemiologia i Salut Pública, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
| | - Irene Torrecilla-Martínez
- Servei de Medicina Preventiva i Epidemiologia, Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
- Grup de recerca de Epidemiologia i Salut Pública, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
| | - Arnau Del Oso
- Department Information Systems and Decision Support, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
| | - Xavier Martínez-Gómez
- Servei de Medicina Preventiva i Epidemiologia, Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
- Grup de recerca de Epidemiologia i Salut Pública, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
- Unitat Docent Vall d'Hebron, Universitat Autònoma de Barcelona, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
| | - Andres Antón
- Respiratory Virus Unit, Microbiology Department, Vall d'Hebron Research Institute, Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035 Barcleona, Spain
- CIBERINFEC, ISCIII-CIBER de Enfermedades Infecciosas, Instituto de Salud Carlos III, Av. de Monforte de Lemos, 5, 28029 Madrid, Spain
| | - Susana Otero-Romero
- Servei de Medicina Preventiva i Epidemiologia, Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
- Grup de recerca de Epidemiologia i Salut Pública, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
- Unitat Docent Vall d'Hebron, Universitat Autònoma de Barcelona, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
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9
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King KL, Ham R, Smothers A, Lee I, Bowie T, Teetsel E, Peng C, Dean D. Repurposing a SARS-CoV-2 surveillance program for infectious respiratory diseases in a university setting. Front Public Health 2023; 11:1168551. [PMID: 37727605 PMCID: PMC10505707 DOI: 10.3389/fpubh.2023.1168551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 08/16/2023] [Indexed: 09/21/2023] Open
Abstract
Standard multiplex RT-qPCR diagnostic tests use nasopharyngeal swabs to simultaneously detect a variety of infections, but commercially available kits can be expensive and have limited throughput. Previously, we clinically validated a saliva-based RT-qPCR diagnostic test for SARS-CoV-2 to provide low-cost testing with high throughput and low turnaround time on a university campus. Here, we developed a respiratory diagnostic panel to detect SARS-CoV-2, influenza A and B within a single saliva sample. When compared to clinical results, our assay demonstrated 93.5% accuracy for influenza A samples (43/46 concordant results) with no effect on SARS-CoV-2 accuracy or limit of detection. In addition, our assay can detect simulated coinfections at varying virus concentrations generated from synthetic RNA controls. We also confirmed the stability of influenza A in saliva at room temperature for up to 5 days. The cost of the assay is lower than standard nasopharyngeal swab respiratory panel tests as saliva collection does not require specialized swabs or trained clinical personnel. By repurposing the lab infrastructure developed for the COVID-19 pandemic, our multiplex assay can be used to provide expanded access to respiratory disease diagnostics, especially for community, school, or university testing applications where saliva testing was effectively utilized during the COVID-19 pandemic.
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Affiliation(s)
- Kylie L. King
- Center for Innovative Medical Devices and Sensors (REDDI Lab), Clemson University, Clemson, SC, United States
- Department of Bioengineering, Clemson University, Clemson, SC, United States
| | - Rachel Ham
- Center for Innovative Medical Devices and Sensors (REDDI Lab), Clemson University, Clemson, SC, United States
| | - Austin Smothers
- Center for Innovative Medical Devices and Sensors (REDDI Lab), Clemson University, Clemson, SC, United States
- Department of Bioengineering, Clemson University, Clemson, SC, United States
| | - Isaac Lee
- Center for Innovative Medical Devices and Sensors (REDDI Lab), Clemson University, Clemson, SC, United States
| | - Tyler Bowie
- Center for Innovative Medical Devices and Sensors (REDDI Lab), Clemson University, Clemson, SC, United States
| | - Erika Teetsel
- Center for Innovative Medical Devices and Sensors (REDDI Lab), Clemson University, Clemson, SC, United States
| | - Congyue Peng
- Center for Innovative Medical Devices and Sensors (REDDI Lab), Clemson University, Clemson, SC, United States
- Department of Bioengineering, Clemson University, Clemson, SC, United States
| | - Delphine Dean
- Center for Innovative Medical Devices and Sensors (REDDI Lab), Clemson University, Clemson, SC, United States
- Department of Bioengineering, Clemson University, Clemson, SC, United States
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10
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Tenforde MW, Weber ZA, DeSilva MB, Stenehjem E, Yang DH, Fireman B, Gaglani M, Kojima N, Irving SA, Rao S, Grannis SJ, Naleway AL, Kirshner L, Kharbanda AB, Dascomb K, Lewis N, Dalton AF, Ball SW, Natarajan K, Ong TC, Hartmann E, Embi PJ, McEvoy CE, Grisel N, Zerbo O, Dunne MM, Arndorfer J, Goddard K, Dickerson M, Patel P, Timbol J, Griggs EP, Hansen J, Thompson MG, Flannery B, Klein NP. Vaccine Effectiveness Against Influenza-Associated Urgent Care, Emergency Department, and Hospital Encounters During the 2021-2022 Season, VISION Network. J Infect Dis 2023; 228:185-195. [PMID: 36683410 PMCID: PMC11306092 DOI: 10.1093/infdis/jiad015] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 01/12/2023] [Accepted: 01/19/2023] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Following historically low influenza activity during the 2020-2021 season, the United States saw an increase in influenza circulating during the 2021-2022 season. Most viruses belonged to the influenza A(H3N2) 3C.2a1b 2a.2 subclade. METHODS We conducted a test-negative case-control analysis among adults ≥18 years of age at 3 sites within the VISION Network. Encounters included emergency department/urgent care (ED/UC) visits or hospitalizations with ≥1 acute respiratory illness (ARI) discharge diagnosis codes and molecular testing for influenza. Vaccine effectiveness (VE) was calculated by comparing the odds of influenza vaccination ≥14 days before the encounter date between influenza-positive cases (type A) and influenza-negative and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-negative controls, applying inverse probability-to-be-vaccinated weights, and adjusting for confounders. RESULTS In total, 86 732 ED/UC ARI-associated encounters (7696 [9%] cases) and 16 805 hospitalized ARI-associated encounters (649 [4%] cases) were included. VE against influenza-associated ED/UC encounters was 25% (95% confidence interval (CI), 20%-29%) and 25% (95% CI, 11%-37%) against influenza-associated hospitalizations. VE against ED/UC encounters was lower in adults ≥65 years of age (7%; 95% CI, -5% to 17%) or with immunocompromising conditions (4%; 95% CI, -45% to 36%). CONCLUSIONS During an influenza A(H3N2)-predominant influenza season, modest VE was observed. These findings highlight the need for improved vaccines, particularly for A(H3N2) viruses that are historically associated with lower VE.
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Affiliation(s)
- Mark W. Tenforde
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | | | | | - Edward Stenehjem
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah, USA
| | | | - Bruce Fireman
- Kaiser Permanente Northern California Division of Research, Kaiser Permanente Vaccine Study Center, Oakland, California, USA
| | - Manjusha Gaglani
- Department of Pediatrics, Section of Pediatric Infectious Diseases, Baylor Scott and White Health, Temple, Texas, USA
- Department of Medical Education, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Noah Kojima
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | | | - Suchitra Rao
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Shaun J. Grannis
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, USA
- School of Medicine, Indiana University, Indianapolis, Indiana, USA
| | | | | | | | - Kristin Dascomb
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah, USA
| | - Ned Lewis
- Kaiser Permanente Northern California Division of Research, Kaiser Permanente Vaccine Study Center, Oakland, California, USA
| | - Alexandra F. Dalton
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | | | - Karthik Natarajan
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, USA
- New York Presbyterian Hospital, New York, New York, USA
| | - Toan C. Ong
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Emily Hartmann
- Paso del Norte Health Information Exchange, El Paso, Texas, USA
| | - Peter J. Embi
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, USA
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | | | - Nancy Grisel
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah, USA
| | - Ousseny Zerbo
- Kaiser Permanente Northern California Division of Research, Kaiser Permanente Vaccine Study Center, Oakland, California, USA
| | | | - Julie Arndorfer
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah, USA
| | - Kristin Goddard
- Kaiser Permanente Northern California Division of Research, Kaiser Permanente Vaccine Study Center, Oakland, California, USA
| | - Monica Dickerson
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Palak Patel
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Julius Timbol
- Kaiser Permanente Northern California Division of Research, Kaiser Permanente Vaccine Study Center, Oakland, California, USA
| | - Eric P. Griggs
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - John Hansen
- Kaiser Permanente Northern California Division of Research, Kaiser Permanente Vaccine Study Center, Oakland, California, USA
| | - Mark G. Thompson
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Brendan Flannery
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Nicola P. Klein
- Kaiser Permanente Northern California Division of Research, Kaiser Permanente Vaccine Study Center, Oakland, California, USA
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11
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Lee IT, Nachbagauer R, Ensz D, Schwartz H, Carmona L, Schaefers K, Avanesov A, Stadlbauer D, Henry C, Chen R, Huang W, Schrempp DR, Ananworanich J, Paris R. Safety and immunogenicity of a phase 1/2 randomized clinical trial of a quadrivalent, mRNA-based seasonal influenza vaccine (mRNA-1010) in healthy adults: interim analysis. Nat Commun 2023; 14:3631. [PMID: 37336877 DOI: 10.1038/s41467-023-39376-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 06/09/2023] [Indexed: 06/21/2023] Open
Abstract
Despite vaccine availability, influenza remains a substantial global public health concern. Here, we report interim findings on the primary and secondary objectives of the safety, reactogenicity, and humoral immunogenicity of a quadrivalent messenger RNA (mRNA) vaccine against seasonal influenza, mRNA-1010, from the first 2 parts of a 3-part, first-in-human, phase 1/2 clinical trial in healthy adults aged ≥18 years (NCT04956575). In the placebo-controlled Part 1, a single dose of mRNA-1010 (50 µg, 100 µg, or 200 µg) elicited hemagglutination inhibition (HAI) titers against vaccine-matched strains. In the active-comparator-controlled Part 2, mRNA-1010 (25 µg, 50 µg, or 100 µg) elicited higher HAI titers than a standard dose, inactivated seasonal influenza vaccine for influenza A strains and comparable HAI titers for influenza B strains. No safety concerns were identified; solicited adverse reactions were dose-dependent and more frequent after receipt of mRNA-1010 than the active comparator. These interim data support continued development of mRNA-1010.
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Affiliation(s)
| | | | - David Ensz
- Meridian Clinical Research, Sioux City, IA, USA
| | | | | | | | | | | | | | - Ren Chen
- Moderna, Inc., Cambridge, MA, USA
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12
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Price AM, Flannery B, Talbot HK, Grijalva CG, Wernli KJ, Phillips CH, Monto AS, Martin ET, Belongia EA, McLean HQ, Gaglani M, Mutnal M, Geffel KM, Nowalk MP, Tartof SY, Florea A, McLean C, Kim SS, Patel MM, Chung JR. Influenza Vaccine Effectiveness Against Influenza A(H3N2)-Related Illness in the United States During the 2021-2022 Influenza Season. Clin Infect Dis 2023; 76:1358-1363. [PMID: 36504336 PMCID: PMC10893961 DOI: 10.1093/cid/ciac941] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 11/28/2022] [Accepted: 12/08/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND In the United States, influenza activity during the 2021-2022 season was modest and sufficient enough to estimate influenza vaccine effectiveness (VE) for the first time since the beginning of the coronavirus disease 2019 pandemic. We estimated influenza VE against laboratory-confirmed outpatient acute illness caused by predominant A(H3N2) viruses. METHODS Between October 2021 and April 2022, research staff across 7 sites enrolled patients aged ≥6 months seeking outpatient care for acute respiratory illness with cough. Using a test-negative design, we assessed VE against influenza A(H3N2). Due to strong correlation between influenza and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination, participants who tested positive for SARS-CoV-2 were excluded from VE estimations. Estimates were adjusted for site, age, month of illness, race/ethnicity, and general health status. RESULTS Among 6260 participants, 468 (7%) tested positive for influenza only, including 440 (94%) for A(H3N2). All 206 sequenced A(H3N2) viruses were characterized as belonging to genetic group 3C.2a1b subclade 2a.2, which has antigenic differences from the 2021-2022 season A(H3N2) vaccine component that belongs to clade 3C.2a1b subclade 2a.1. After excluding 1948 SARS-CoV-2-positive patients, 4312 patients were included in analyses of influenza VE; 2463 (57%) were vaccinated against influenza. Effectiveness against A(H3N2) for all ages was 36% (95% confidence interval, 20%-49%) overall. CONCLUSIONS Influenza vaccination in 2021-2022 provided protection against influenza A(H3N2)-related outpatient visits among young persons.
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Affiliation(s)
- Ashley M Price
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Brendan Flannery
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - H Keipp Talbot
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Carlos G Grijalva
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Karen J Wernli
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA
| | - C Hallie Phillips
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA
| | - Arnold S Monto
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Emily T Martin
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | | | | | - Manjusha Gaglani
- Department of Pediatrics, Baylor Scott & White Health, USA
- Department of Medical Education, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Manohar Mutnal
- Department of Pediatrics, Baylor Scott & White Health, USA
- Department of Medical Education, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Krissy Moehling Geffel
- Department of Family Medicine, University of Pittsburgh Schools of the Health Sciences and University of Pittsburgh Medical Center, Pittsburgh, Pannsylvania, USA
| | - Mary Patricia Nowalk
- Department of Family Medicine, University of Pittsburgh Schools of the Health Sciences and University of Pittsburgh Medical Center, Pittsburgh, Pannsylvania, USA
| | - Sara Y Tartof
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
| | - Ana Florea
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
| | - Callie McLean
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Sara S Kim
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Manish M Patel
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Jessie R Chung
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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13
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Tenforde MW, Patel MM, Lewis NM, Adams K, Gaglani M, Steingrub JS, Shapiro NI, Duggal A, Prekker ME, Peltan ID, Hager DN, Gong MN, Exline MC, Ginde AA, Mohr NM, Mallow C, Martin ET, Talbot HK, Gibbs KW, Kwon JH, Chappell JD, Halasa N, Lauring AS, Lindsell CJ, Swan SA, Hart KW, Womack KN, Baughman A, Grijalva CG, Self WH. Vaccine Effectiveness Against Influenza A(H3N2)-Associated Hospitalized Illness: United States, 2022. Clin Infect Dis 2023; 76:1030-1037. [PMID: 36327388 PMCID: PMC10226741 DOI: 10.1093/cid/ciac869] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 10/25/2022] [Accepted: 10/28/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND The COVID-19 pandemic was associated with historically low influenza circulation during the 2020-2021 season, followed by an increase in influenza circulation during the 2021-2022 US season. The 2a.2 subgroup of the influenza A(H3N2) 3C.2a1b subclade that predominated was antigenically different from the vaccine strain. METHODS To understand the effectiveness of the 2021-2022 vaccine against hospitalized influenza illness, a multistate sentinel surveillance network enrolled adults aged ≥18 years hospitalized with acute respiratory illness and tested for influenza by a molecular assay. Using the test-negative design, vaccine effectiveness (VE) was measured by comparing the odds of current-season influenza vaccination in influenza-positive case-patients and influenza-negative, SARS-CoV-2-negative controls, adjusting for confounders. A separate analysis was performed to illustrate bias introduced by including SARS-CoV-2-positive controls. RESULTS A total of 2334 patients, including 295 influenza cases (47% vaccinated), 1175 influenza- and SARS-CoV-2-negative controls (53% vaccinated), and 864 influenza-negative and SARS-CoV-2-positive controls (49% vaccinated), were analyzed. Influenza VE was 26% (95% CI: -14% to 52%) among adults aged 18-64 years, -3% (-54% to 31%) among adults aged ≥65 years, and 50% (15-71%) among adults aged 18-64 years without immunocompromising conditions. Estimated VE decreased with inclusion of SARS-CoV-2-positive controls. CONCLUSIONS During a season where influenza A(H3N2) was antigenically different from the vaccine virus, vaccination was associated with a reduced risk of influenza hospitalization in younger immunocompetent adults. However, vaccination did not provide protection in adults ≥65 years of age. Improvements in vaccines, antivirals, and prevention strategies are warranted.
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Affiliation(s)
- Mark W Tenforde
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Manish M Patel
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Nathaniel M Lewis
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Katherine Adams
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Manjusha Gaglani
- Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Jay S Steingrub
- Department of Medicine, Baystate Medical Center, Springfield, Massachusetts, USA
| | - Nathan I Shapiro
- Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Abhijit Duggal
- Department of Medicine, Cleveland Clinic, Cleveland, Ohio, USA
| | - Matthew E Prekker
- Departments of Emergency Medicine and Medicine, Hennepin County Medical Center, Minneapolis, Minnesota, USA
| | - Ithan D Peltan
- Department of Medicine, Intermountain Medical Center, Murray, Utah and University of Utah, Salt Lake City, Utah, USA
| | - David N Hager
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Michelle N Gong
- Department of Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Matthew C Exline
- Department of Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Adit A Ginde
- Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Nicholas M Mohr
- Department of Emergency Medicine, University of Iowa, Iowa City, Iowa, USA
| | | | - Emily T Martin
- School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - H Keipp Talbot
- Departments of Medicine and Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kevin W Gibbs
- Department of Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Jennie H Kwon
- Department of Medicine, Washington University, St Louis, Missouri, USA
| | - James D Chappell
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Natasha Halasa
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Adam S Lauring
- Departments of Internal Medicine and Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, USA
| | - Christopher J Lindsell
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Sydney A Swan
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kimberly W Hart
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kelsey N Womack
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Adrienne Baughman
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Carlos G Grijalva
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Wesley H Self
- Vanderbilt Institute for Clinical and Translational Research and Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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14
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Chow EJ, Uyeki TM, Chu HY. The effects of the COVID-19 pandemic on community respiratory virus activity. Nat Rev Microbiol 2023; 21:195-210. [PMID: 36253478 PMCID: PMC9574826 DOI: 10.1038/s41579-022-00807-9] [Citation(s) in RCA: 106] [Impact Index Per Article: 106.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/13/2022] [Indexed: 01/14/2023]
Abstract
The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused substantial global morbidity and deaths, leading governments to turn to non-pharmaceutical interventions to slow down the spread of infection and lessen the burden on health care systems. These policies have evolved over the course of the COVID-19 pandemic, including after the availability of COVID-19 vaccines, with regional and country-level differences in their ongoing use. The COVID-19 pandemic has been associated with changes in respiratory virus infections worldwide, which have differed between virus types. Reductions in respiratory virus infections, including by influenza virus and respiratory syncytial virus, were most notable at the onset of the COVID-19 pandemic and continued in varying degrees through subsequent waves of SARS-CoV-2 infections. The decreases in community infection burden have resulted in reduced hospitalizations and deaths associated with non-SARS-CoV-2 respiratory infections. Respiratory virus evolution relies on the maintaining of a diverse genetic pool, but evidence of genetic bottlenecking brought on by case reduction during the COVID-19 pandemic has resulted in reduced genetic diversity of some respiratory viruses, including influenza virus. By describing the differences in these changes between viral species across different geographies over the course of the COVID-19 pandemic, we may better understand the complex factors involved in community co-circulation of respiratory viruses.
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Affiliation(s)
- Eric J Chow
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Timothy M Uyeki
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Helen Y Chu
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle, WA, USA.
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15
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Torres AR, Gómez V, Kislaya I, Rodrigues AP, Fernandes Tavares M, Pereira AC, Pereira D, Côrte-Real R, Flores CH, Verdasca N, Guiomar R, Machado A. Monitoring COVID-19 and Influenza: The Added Value of a Severe Acute Respiratory Infection Surveillance System in Portugal. THE CANADIAN JOURNAL OF INFECTIOUS DISEASES & MEDICAL MICROBIOLOGY = JOURNAL CANADIEN DES MALADIES INFECTIEUSES ET DE LA MICROBIOLOGIE MEDICALE 2023; 2023:6590011. [PMID: 36846348 PMCID: PMC9950323 DOI: 10.1155/2023/6590011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 01/06/2023] [Accepted: 01/24/2023] [Indexed: 02/18/2023]
Abstract
Background Severe acute respiratory infections (SARI) surveillance is recommended to assess the severity of respiratory infections disease. In 2021, the National Institute of Health Doutor Ricardo Jorge, in collaboration with two general hospitals, implemented a SARI sentinel surveillance system based on electronic health registries. We describe its application in the 2021/2022 season and compare the evolution of SARI cases with the COVID-19 and influenza activity in two regions of Portugal. Methods The main outcome of interest was the weekly incidence of patients hospitalized due to SARI, reported within the surveillance system. SARI cases were defined as patients containing ICD-10 codes for influenza-like illness, cardiovascular diagnosis, respiratory diagnosis, and respiratory infection in their primary admission diagnosis. Independent variables included weekly COVID-19 and influenza incidence in the North and Lisbon and Tagus Valley regions. Pearson and cross-correlations between SARI cases, COVID-19 incidence and influenza incidence were estimated. Results A high correlation between SARI cases or hospitalizations due to respiratory infection and COVID-19 incidence was obtained (ρ = 0.78 and ρ = 0.82, respectively). SARI cases detected the COVID-19 epidemic peak a week earlier. A weak correlation was observed between SARI and influenza cases (ρ = -0.20). However, if restricted to hospitalizations due to cardiovascular diagnosis, a moderate correlation was observed (ρ = 0.37). Moreover, hospitalizations due to cardiovascular diagnosis detected the increase of influenza epidemic activity a week earlier. Conclusion In the 2021/2022 season, the Portuguese SARI sentinel surveillance system pilot was able to early detect the COVID-19 epidemic peak and the increase of influenza activity. Although cardiovascular manifestations associated with influenza infection are known, more seasons of surveillance are needed, to confirm the potential use of cardiovascular hospitalizations as an indicator of influenza activity.
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Affiliation(s)
- Ana Rita Torres
- Department of Epidemiology, National Health Institute Doutor Ricardo Jorge, Portugal
| | - Verónica Gómez
- Department of Epidemiology, National Health Institute Doutor Ricardo Jorge, Portugal
| | - Irina Kislaya
- Department of Epidemiology, National Health Institute Doutor Ricardo Jorge, Portugal
- Public Health Research Center, NOVA National School of Public Health, Lisbon, Portugal
- Comprehensive Health Research Center, Lisbon, Portugal
| | - Ana Paula Rodrigues
- Department of Epidemiology, National Health Institute Doutor Ricardo Jorge, Portugal
| | | | | | - Débora Pereira
- Centro Hospitalar Universitário de São João, Porto, Portugal
| | - Rita Côrte-Real
- Centro Hospitalar Universitário Lisboa Central, Lisbon, Portugal
| | | | - Nuno Verdasca
- Department of Infectious Diseases, National Health Institute Doutor Ricardo Jorge, Lisbon, Portugal
| | - Raquel Guiomar
- Department of Infectious Diseases, National Health Institute Doutor Ricardo Jorge, Lisbon, Portugal
| | - Ausenda Machado
- Department of Epidemiology, National Health Institute Doutor Ricardo Jorge, Portugal
- Public Health Research Center, NOVA National School of Public Health, Lisbon, Portugal
- Comprehensive Health Research Center, Lisbon, Portugal
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16
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Galli C, Pellegrinelli L, Giardina F, Ferrari G, Uceda Renteria SC, Novazzi F, Masi E, Pagani E, Piccirilli G, Mauro MV, Binda S, Corvaro B, Tiberio C, Lalle E, Maggi F, Russo C, Ranno S, Vian E, Pariani E, Baldanti F, Piralla A. On the lookout for influenza viruses in Italy during the 2021-2022 season: Along came A(H3N2) viruses with a new phylogenetic makeup of their hemagglutinin. Virus Res 2023; 324:199033. [PMID: 36581046 PMCID: PMC10194219 DOI: 10.1016/j.virusres.2022.199033] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 12/22/2022] [Accepted: 12/24/2022] [Indexed: 12/27/2022]
Abstract
AIMS To assess influenza viruses (IVs) circulation and to evaluate A(H3N2) molecular evolution during the 2021-2022 season in Italy. MATERIALS AND METHODS 12,393 respiratory specimens (nasopharyngeal swabs or broncho-alveolar lavages) collected from in/outpatients with influenza illness in the period spanning from January 1, 2022 (week 2022-01) to May 31, 2022 (week 2022-22) were analysed to identify IV genome and were molecularly characterized by 12 laboratories throughout Italy. A(H3N2) evolution was studied by conducting an in-depth phylogenetic analysis of the hemagglutinin (HA) gene sequences. The predicted vaccine efficacy (pVE) of vaccine strain against circulating A(H3N2) viruses was estimated using the sequence-based Pepitope model. RESULTS The overall IV-positive rate was 7.2% (894/12,393), all were type A IVs. Almost all influenza A viruses (846/894; 94.6%) were H3N2 that circulated in Italy with a clear epidemic trend, with 10% positivity rate threshold crossed for six consecutive weeks from week 2022-11 to week 2022-16. According to the phylogenetic analysis of a subset of A(H3N2) strains (n=161), the study HA sequences were distributed into five different genetic clusters, all of them belonging to the clade 3C.2a, sub-clade 3C.2a1 and the genetic subgroup 3C.2a1b.2a.2. The selective pressure analysis of A(H3N2) sequences showed evidence of diversifying selection particularly in the amino acid position 156. The comparison between the predicted amino acid sequence of the 2021-2022 vaccine strain (A/Cambodia/e0826360/2020) and the study strains revealed 65 mutations in 59 HA amino acid positions, including the substitution H156S and Y159N in antigenic site B, within major antigenic sites adjacent to the receptor-binding site, suggesting the presence of drifted strains. According to the sequence-based Pepitope model, antigenic site B was the dominant antigenic site and the p(VE) against circulating A(H3N2) viruses was estimated to be -28.9%. DISCUSSION AND CONCLUSION After a long period of very low IV activity since public health control measures have been introduced to face COVID-19 pandemic, along came A(H3N2) with a new phylogenetic makeup. Although the delayed 2021-2022 influenza season in Italy was characterized by a significant reduction of the width of the epidemic curve and in the intensity of the influenza activity compared to historical data, a marked genetic diversity of the HA of circulating A(H3N2) strains was observed. The identification of the H156S and Y159N substitutions within the main antigenic sites of most HA sequences also suggested the circulation of drifted variants with respect to the 2021-2022 vaccine strain. Molecular surveillance plays a critical role in the influenza surveillance architecture and it has to be strengthened also at local level to timely assess vaccine effectiveness and detect novel strains with potential impact on public health.
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Affiliation(s)
- Cristina Galli
- Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
| | - Laura Pellegrinelli
- Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
| | - Federica Giardina
- Microbiology and Virology Department, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Guglielmo Ferrari
- Microbiology and Virology Department, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | | | - Federica Novazzi
- Ospedale di Circolo e Fondazione Macchi, ASST Sette Laghi, Varese, Italy; University of Insubria, Varese, Italy
| | - Elisa Masi
- Laboratorio Aziendale di Microbiologia e Virologia, Hospital of Bolzano (SABES-ASDAA), Bolzano-Bozen, Italy
| | - Elisabetta Pagani
- Laboratorio Aziendale di Microbiologia e Virologia, Hospital of Bolzano (SABES-ASDAA), Bolzano-Bozen, Italy
| | - Giulia Piccirilli
- Microbiology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Maria Vittoria Mauro
- Microbiology & Virology Unit, Annunziata Hub Hospital, Azienda Ospedaliera di Cosenza, Cosenza, Italy
| | - Sandro Binda
- Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
| | - Benedetta Corvaro
- Virology Laboratory, Azienda Ospedaliera Ospedali Riuniti di Ancona, Ancona, Italy
| | - Claudia Tiberio
- Microbiology and Virology, Cotugno Hospital AORN dei Colli, Naples, Italy
| | - Eleonora Lalle
- Istituto Nazionale per le Malattie Infettive Lazzaro Spallanzani, Rome, Italy
| | - Fabrizio Maggi
- Istituto Nazionale per le Malattie Infettive Lazzaro Spallanzani, Rome, Italy
| | - Cristina Russo
- Department of Diagnostic and Laboratory Medicine, Unit of Microbiology and Diagnostic Immunology, Bambino Gesù Children Hospital IRCCS, Rome, Italy
| | - Stefania Ranno
- Department of Diagnostic and Laboratory Medicine, Unit of Microbiology and Diagnostic Immunology, Bambino Gesù Children Hospital IRCCS, Rome, Italy
| | - Elisa Vian
- Microbiology Unit, Azienda ULSS2 Marca Trevigiana, Treviso, Italy
| | - Elena Pariani
- Department of Biomedical Sciences for Health, University of Milan, Milan, Italy.
| | - Fausto Baldanti
- Microbiology and Virology Department, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy; Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy
| | - Antonio Piralla
- Microbiology and Virology Department, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
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Haupt R, Baracco L, Harberts EM, Loganathan M, Kerstetter LJ, Krammer F, Coughlan L, Ernst RK, Frieman MB. Enhancing the protection of influenza virus vaccines with BECC TLR4 adjuvant in aged mice. Sci Rep 2023; 13:715. [PMID: 36639569 PMCID: PMC9838488 DOI: 10.1038/s41598-023-27965-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 01/10/2023] [Indexed: 01/15/2023] Open
Abstract
Influenza A virus (IAV) is a leading cause of respiratory disease worldwide often resulting in severe morbidity and mortality. We have previously shown that the Bacterial Enzymatic Combinatorial Chemistry (BECC) adjuvants, BECC438 and BECC470, formulated with an influenza virus hemagglutinin (HA) protein vaccine, offer greater protection from influenza virus challenge in mouse respiratory models using adult mice than standard HA:adjuvant combinations. In this study, we determined that immunization with HA + BECC adjuvants also significantly broadened the epitopes targeted on HA as compared with other adjuvants, resulting in increased titers of antibodies directed against the highly conserved HA stalk domain. Importantly, we demonstrate that BECC470 combined with an influenza virus HA protein antigen in a prime-only immunization regimen was able to achieve complete protection from challenge in a ~ 12-month-old mouse aged model. Together, this demonstrates the heightened protection provided by the BECC470 adjuvant in an influenza virus vaccine model and shows the enhanced immune response, as compared to other adjuvants elicited by the formulation of HA with BECC470.
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Affiliation(s)
- Robert Haupt
- Department of Microbiology and Immunology, School of Medicine, University of Maryland, Baltimore, MD, USA
- Center for Pathogen Research, School of Medicine, University of Maryland, Baltimore, MD, USA
- Therapeutic Discovery Branch, Molecular Biology Division, USAMRIID, Fort Detrick, MD, USA
| | - Lauren Baracco
- Department of Microbiology and Immunology, School of Medicine, University of Maryland, Baltimore, MD, USA
- Center for Pathogen Research, School of Medicine, University of Maryland, Baltimore, MD, USA
| | - Erin M Harberts
- Department of Microbial Pathogenesis, School of Dentistry, University of Maryland, Baltimore, MD, USA
| | | | - Lucas J Kerstetter
- Department of Microbiology and Immunology, School of Medicine, University of Maryland, Baltimore, MD, USA
| | - Florian Krammer
- Department of Microbiology, Icahn School of Medicine, New York, NY, USA
- Center for Vaccine Research and Pandemic Preparedness (C-VARPP), Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Pathology, Molecular and Cell Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Lynda Coughlan
- Department of Microbiology and Immunology, School of Medicine, University of Maryland, Baltimore, MD, USA
- Center for Vaccine Development and Global Health (CVD), University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Robert K Ernst
- Department of Microbial Pathogenesis, School of Dentistry, University of Maryland, Baltimore, MD, USA
| | - Matthew B Frieman
- Department of Microbiology and Immunology, School of Medicine, University of Maryland, Baltimore, MD, USA.
- Center for Pathogen Research, School of Medicine, University of Maryland, Baltimore, MD, USA.
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18
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Ellison TJ, Talbott GC, Henderson DR. Intradermal delivery of a quadrivalent cell-based seasonal influenza vaccine using an adjuvanted skin patch vaccination platform. Vaccine 2023; 41:304-314. [PMID: 36587961 DOI: 10.1016/j.vaccine.2022.10.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 09/26/2022] [Accepted: 10/05/2022] [Indexed: 12/15/2022]
Abstract
All seasonal influenza vaccines for 2021-2022 in the US were quadrivalent and the market continues to be dominated by intramuscular delivery of non-adjuvanted, virion-derived antigens grown in chicken eggs. Up to four new egg-adapted production influenza vaccine strains must be generated each year. The introduction in 2012 of Flucelvax®, which is grown in mammalian suspension cell culture and uses vaccine production strains without adaptive mutations for efficient growth in eggs, represented a major advance in vaccine production technology. Here we demonstrate that Flucelvax can be reformulated and combined with a liposomal adjuvant containing QS-21 (Verndari Adjuvant System 1.1, VAS1.1) or QS-21 and 3D-PHAD (VAS1.2) for intradermal administration using a painless skin patch, VaxiPatch™. VAS1.2 is similar to AS01B, the adjuvant system used in Shingrix® and Mosquirix™. We show that Flucelvax, when reformulated and concentrated using tangential flow filtration (TFF), maintains hemagglutination and single radial immunodiffusion (SRID) potency. Loading the reformulated Flucelvax material onto VaxiPatch arrays conferred high levels of resistance to heat stress and room temperature stability. TFF enriched vaccine antigens were combined with VAS1.1 or VAS1.2 and dispensed in 10nL drops into the pockets of 36 (total 360 nL) stainless steel microneedles arranged in a microarray 1.2 cm in diameter. Using VaxiPatch delivery of 2 µg of antigen, we demonstrated intramusuclar-comparable IgG and hemagglutination inhibition (HAI) immune responses in Sprague Dawley® rats. With addition of VAS1.2, antigen-specific IgG titers were increased as much as 68-fold (47-fold for VAS1.1) with improvements in seroconversion for three of four strains (all four were improved by VAS1.1). TFF-reformulated antigens combined with VAS1.1 or VAS1.2 and delivered by VaxiPatch showed only minor skin reactogenicity after 1 h and no skin reactogenicity after 24 h. These data indicate that VaxiPatch and the VAS system have the potential to be transformative for vaccine delivery.
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Affiliation(s)
- Thomas J Ellison
- Verndari Inc., 2700 Stockton Blvd., Suite 1104, Sacramento, CA 95817, United States.
| | - George C Talbott
- Verndari Inc., 2700 Stockton Blvd., Suite 1104, Sacramento, CA 95817, United States.
| | - Daniel R Henderson
- Verndari Inc., 2700 Stockton Blvd., Suite 1104, Sacramento, CA 95817, United States.
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19
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Kissling E, Pozo F, Martínez‐Baz I, Buda S, Vilcu A, Domegan L, Mazagatos C, Dijkstra F, Latorre‐Margalef N, Kurečić Filipović S, Machado A, Lazar M, Casado I, Dürrwald R, van der Werf S, O'Donnell J, Linares Dopido JA, Meijer A, Riess M, Višekruna Vučina V, Rodrigues AP, Mihai ME, Castilla J, Goerlitz L, Falchi A, Connell J, Castrillejo D, Hooiveld M, Carnahan A, Ilić M, Guiomar R, Ivanciuc A, Maurel M, Omokanye A, Valenciano M. Influenza vaccine effectiveness against influenza A subtypes in Europe: Results from the 2021-2022 I-MOVE primary care multicentre study. Influenza Other Respir Viruses 2023; 17:e13069. [PMID: 36702797 PMCID: PMC9835407 DOI: 10.1111/irv.13069] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 10/26/2022] [Accepted: 10/29/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND In 2021-2022, influenza A viruses dominated in Europe. The I-MOVE primary care network conducted a multicentre test-negative study to measure influenza vaccine effectiveness (VE). METHODS Primary care practitioners collected information on patients presenting with acute respiratory infection. Cases were influenza A(H3N2) or A(H1N1)pdm09 RT-PCR positive, and controls were influenza virus negative. We calculated VE using logistic regression, adjusting for study site, age, sex, onset date, and presence of chronic conditions. RESULTS Between week 40 2021 and week 20 2022, we included over 11 000 patients of whom 253 and 1595 were positive for influenza A(H1N1)pdm09 and A(H3N2), respectively. Overall VE against influenza A(H1N1)pdm09 was 75% (95% CI: 43-89) and 81% (95% CI: 45-93) among those aged 15-64 years. Overall VE against influenza A(H3N2) was 29% (95% CI: 12-42) and 25% (95% CI: -41 to 61), 33% (95% CI: 14-49), and 26% (95% CI: -22 to 55) among those aged 0-14, 15-64, and over 65 years, respectively. The A(H3N2) VE among the influenza vaccination target group was 20% (95% CI: -6 to 39). All 53 sequenced A(H1N1)pdm09 viruses belonged to clade 6B.1A.5a.1. Among 410 sequenced influenza A(H3N2) viruses, all but eight belonged to clade 3C.2a1b.2a.2. DISCUSSION Despite antigenic mismatch between vaccine and circulating strains for influenza A(H3N2) and A(H1N1)pdm09, 2021-2022 VE estimates against circulating influenza A(H1N1)pdm09 were the highest within the I-MOVE network since the 2009 influenza pandemic. VE against A(H3N2) was lower than A(H1N1)pdm09, but at least one in five individuals vaccinated against influenza were protected against presentation to primary care with laboratory-confirmed influenza.
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Affiliation(s)
| | - Francisco Pozo
- National Centre for MicrobiologyInstitute of Health Carlos IIIMadridSpain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP)MadridSpain
| | - Iván Martínez‐Baz
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP)MadridSpain
- Instituto de Salud Pública de Navarra ‐ IdiSNAPamplonaSpain
| | | | - Ana‐Maria Vilcu
- INSERM, Sorbonne UniversitéInstitut Pierre Louis d'épidémiologie et de Santé Publique (IPLESP UMRS 1136)ParisFrance
| | - Lisa Domegan
- Health Service Executive‐Health Protection Surveillance CentreDublinIreland
| | - Clara Mazagatos
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP)MadridSpain
- National Centre for EpidemiologyInstitute of Health Carlos IIIMadridSpain
| | - Frederika Dijkstra
- National Institute for Public Health and the Environment (RIVM)BilthovenThe Netherlands
| | | | | | | | - Mihaela Lazar
- “Cantacuzino” National Military Medical Institute for Research and DevelopmentBucharestRomania
| | - Itziar Casado
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP)MadridSpain
- Instituto de Salud Pública de Navarra ‐ IdiSNAPamplonaSpain
| | | | - Sylvie van der Werf
- Unité de Génétique Moléculaire des Virus à ARN, Institut PasteurUniversité Paris Cité, UMR 3569 CNRSParisFrance
- CNR virus des infections respiratoires, Institut PasteurParisFrance
| | - Joan O'Donnell
- Health Service Executive‐Health Protection Surveillance CentreDublinIreland
| | - Juan Antonio Linares Dopido
- Subdirección de Epidemiología, Dirección General de Salud Pública, Servicio Extremeño de SaludExtremaduraSpain
| | - Adam Meijer
- National Institute for Public Health and the Environment (RIVM)BilthovenThe Netherlands
| | | | | | | | - Maria Elena Mihai
- “Cantacuzino” National Military Medical Institute for Research and DevelopmentBucharestRomania
| | - Jesús Castilla
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP)MadridSpain
- Instituto de Salud Pública de Navarra ‐ IdiSNAPamplonaSpain
| | | | | | - Jeff Connell
- National Virus Reference LaboratoryUniversity College DublinDublinIreland
| | - Daniel Castrillejo
- Servicio de Epidemiología, DGSP, Consejería de Políticas Sociales, Salud Pública y Bienestar Animal, Ciudad Autónoma de MelillaMelillaSpain
| | | | | | - Maja Ilić
- Croatian Institute of Public HealthZagrebCroatia
| | - Raquel Guiomar
- Instituto Nacional de Saúde Dr. Ricardo JorgeLisbonPortugal
| | - Alina Ivanciuc
- “Cantacuzino” National Military Medical Institute for Research and DevelopmentBucharestRomania
| | | | - Ajibola Omokanye
- European Centre for Disease Prevention and ControlStockholmSweden
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20
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Surveillance of Severe Acute Respiratory Infection and Influenza Vaccine Effectiveness among Hospitalized Italian Adults, 2021/22 Season. Vaccines (Basel) 2022; 11:vaccines11010083. [PMID: 36679928 PMCID: PMC9861626 DOI: 10.3390/vaccines11010083] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 12/05/2022] [Accepted: 12/26/2022] [Indexed: 12/31/2022] Open
Abstract
Following an extremely low incidence of influenza during the first waves of the ongoing COVID-19 pandemic, the 2021/22 Northern Hemisphere winter season saw a resurgence of influenza virus circulation. The aim of this study was to describe epidemiology of severe acute respiratory infections (SARIs) among Italian adults and estimate the 2021/22 season influenza vaccine effectiveness. For this purpose, a test-negative case-control study was conducted in a geographically representative sample of Italian hospitals. Of 753 SARI patients analyzed, 2.5% (N = 19) tested positive for influenza, most of which belonged to the A(H3N2) subtype. Phylogenetic analysis showed that these belonged to the subclade 3C.2a1b.2a.2, which was antigenically different from the 2021/22 A(H3N2) vaccine component. Most (89.5%) cases were registered among non-vaccinated individuals, suggesting a protective effect of influenza vaccination. Due to a limited number of cases, vaccine effectiveness estimated through the Firth's penalized logistic regression was highly imprecise, being 83.4% (95% CI: 25.8-97.4%) and 83.1% (95% CI: 22.2-97.3%) against any influenza type A and A(H3N2), respectively. Exclusion of SARS-CoV-2-positive controls from the model did not significantly change the base-case estimates. Within the study limitations, influenza vaccination appeared to be effective against laboratory-confirmed SARI.
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21
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Kolosova NP, Ilyicheva TN, Unguryan VV, Danilenko AV, Svyatchenko SV, Onhonova GS, Goncharova NI, Kosenko MN, Gudymo AS, Marchenko VY, Shvalov AN, Susloparov IM, Tregubchak TV, Gavrilova EV, Maksyutov RA, Ryzhikov AB. Re-Emergence of Circulation of Seasonal Influenza during COVID-19 Pandemic in Russia and Receptor Specificity of New and Dominant Clade 3C.2a1b.2a.2 A(H3N2) Viruses in 2021-2022. Pathogens 2022; 11:1388. [PMID: 36422639 PMCID: PMC9698969 DOI: 10.3390/pathogens11111388] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 11/15/2022] [Accepted: 11/18/2022] [Indexed: 11/29/2023] Open
Abstract
The circulation of seasonal influenza in 2020-2021 around the world was drastically reduced after the start of the COVID-19 pandemic and the implementation of mitigation strategies. The influenza virus circulation reemerged in 2021-2022 with the global spread of the new genetic clade 3C.2a1b.2a.2 of A(H3N2) viruses. The purpose of this study was to characterize influenza viruses in the 2021-2022 season in Russia and to analyze the receptor specificity properties of the 3C.2a1b.2a.2 A(H3N2) viruses. Clinical influenza samples were collected at the local Sanitary-and-Epidemiological Centers of Rospotrebnadzor. Whole genome sequencing was performed using NGS. The receptor specificity of hemagglutinin was evaluated using molecular modeling and bio-layer interferometry. Clinical samples from 854 cases of influenza A and B were studied; A(H3N2) viruses were in the majority of the samples. All genetically studied A(H3N2) viruses belonged to the new genetic clade 3C.2a1b.2a.2. Molecular modeling analysis suggested a higher affinity of hemagglutinin of 3C.2a1b.2a.2. A(H3N2) viruses to the α2,6 human receptor. In vitro analysis using a trisaccharide 6'-Sialyl-N-acetyllactosamine receptor analog did not resolve the differences in the receptor specificity of 3C.2a1b.2a.2 clade viruses from viruses belonging to the 3C.2a1b.2a.1 clade. Further investigation of the A(H3N2) viruses is required for the evaluation of their possible adaptive advantages. Constant monitoring and characterization of influenza are critical for epidemiological analysis.
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Affiliation(s)
- Natalia P. Kolosova
- State Research Centre of Virology and Biotechnology “Vector”, Rospotrebnadzor, Koltsovo, Novosibirsk 630559, Russia
| | - Tatiana N. Ilyicheva
- State Research Centre of Virology and Biotechnology “Vector”, Rospotrebnadzor, Koltsovo, Novosibirsk 630559, Russia
| | - Vasily V. Unguryan
- State Research Centre of Virology and Biotechnology “Vector”, Rospotrebnadzor, Koltsovo, Novosibirsk 630559, Russia
- Department of Physics, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Alexey V. Danilenko
- State Research Centre of Virology and Biotechnology “Vector”, Rospotrebnadzor, Koltsovo, Novosibirsk 630559, Russia
| | - Svetlana V. Svyatchenko
- State Research Centre of Virology and Biotechnology “Vector”, Rospotrebnadzor, Koltsovo, Novosibirsk 630559, Russia
| | - Galina S. Onhonova
- State Research Centre of Virology and Biotechnology “Vector”, Rospotrebnadzor, Koltsovo, Novosibirsk 630559, Russia
| | - Natalia I. Goncharova
- State Research Centre of Virology and Biotechnology “Vector”, Rospotrebnadzor, Koltsovo, Novosibirsk 630559, Russia
| | - Maksim N. Kosenko
- State Research Centre of Virology and Biotechnology “Vector”, Rospotrebnadzor, Koltsovo, Novosibirsk 630559, Russia
| | - Andrey S. Gudymo
- State Research Centre of Virology and Biotechnology “Vector”, Rospotrebnadzor, Koltsovo, Novosibirsk 630559, Russia
| | - Vasiliy Y. Marchenko
- State Research Centre of Virology and Biotechnology “Vector”, Rospotrebnadzor, Koltsovo, Novosibirsk 630559, Russia
| | - Alexander N. Shvalov
- State Research Centre of Virology and Biotechnology “Vector”, Rospotrebnadzor, Koltsovo, Novosibirsk 630559, Russia
| | - Ivan M. Susloparov
- State Research Centre of Virology and Biotechnology “Vector”, Rospotrebnadzor, Koltsovo, Novosibirsk 630559, Russia
| | - Tatiana V. Tregubchak
- State Research Centre of Virology and Biotechnology “Vector”, Rospotrebnadzor, Koltsovo, Novosibirsk 630559, Russia
| | - Elena V. Gavrilova
- State Research Centre of Virology and Biotechnology “Vector”, Rospotrebnadzor, Koltsovo, Novosibirsk 630559, Russia
| | - Rinat A. Maksyutov
- State Research Centre of Virology and Biotechnology “Vector”, Rospotrebnadzor, Koltsovo, Novosibirsk 630559, Russia
| | - Alexander B. Ryzhikov
- State Research Centre of Virology and Biotechnology “Vector”, Rospotrebnadzor, Koltsovo, Novosibirsk 630559, Russia
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22
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Li Y, Nair H. Trends in the global burden of lower respiratory infections: the knowns and the unknowns. THE LANCET. INFECTIOUS DISEASES 2022; 22:1523-1525. [PMID: 35964616 DOI: 10.1016/s1473-3099(22)00445-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 06/30/2022] [Indexed: 06/15/2023]
Affiliation(s)
- You Li
- School of Public Health, Nanjing Medical University, Nanjing, China
| | - Harish Nair
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh EH8 9AG, UK.
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23
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Tang CY, Boftsi M, Staudt L, McElroy JA, Li T, Duong S, Ohler A, Ritter D, Hammer R, Hang J, Wan XF. SARS-CoV-2 and influenza co-infection: A cross-sectional study in central Missouri during the 2021-2022 influenza season. Virology 2022; 576:105-110. [PMID: 36206606 PMCID: PMC9523501 DOI: 10.1016/j.virol.2022.09.009] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 09/15/2022] [Accepted: 09/25/2022] [Indexed: 01/16/2023]
Abstract
As SARS-CoV-2 and influenza viruses co-circulate, co-infections with these viruses generate an increasing concern to public health. To evaluate the prevalence and clinical impacts of SARS-CoV-2 and influenza A virus co-infections during the 2021-2022 influenza season, SARS-CoV-2-positive samples from 462 individuals were collected from October 2021 to January 2022. Of these individuals, 152 tested positive for influenza, and the monthly co-infection rate ranged from 7.1% to 48%. Compared to the Delta variant, individuals infected with Omicron were less likely to be co-infected and hospitalized, and individuals who received influenza vaccines were less likely to become co-infected. Three individuals had two samples collected on different dates, and all three developed a co-infection after their initial SARS-CoV-2 infection. This study demonstrates high prevalence of co-infections in central Missouri during the 2021-2022 influenza season, differences in co-infection prevalence between the Delta and the Omicron waves, and the importance of influenza vaccinations against co-infections.
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Affiliation(s)
- Cynthia Y. Tang
- Center for Influenza and Emerging Infectious Diseases, University of Missouri, Columbia, MO, USA,Department of Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, MO, USA,Bond Life Sciences Center, University of Missouri, Columbia, MO, USA,Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA
| | - Maria Boftsi
- Center for Influenza and Emerging Infectious Diseases, University of Missouri, Columbia, MO, USA,Department of Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, MO, USA,Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
| | - Lindsay Staudt
- Center for Influenza and Emerging Infectious Diseases, University of Missouri, Columbia, MO, USA,Department of Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, MO, USA,Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
| | - Jane A. McElroy
- Family and Community Medicine, University of Missouri, Columbia, MO, USA
| | - Tao Li
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Sabrina Duong
- Center for Influenza and Emerging Infectious Diseases, University of Missouri, Columbia, MO, USA,Department of Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, MO, USA,Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
| | - Adrienne Ohler
- Child Health, School of Medicine, University of Missouri, Columbia, MO, USA
| | - Detlef Ritter
- Pathology and Anatomical Sciences, School of Medicine, University of Missouri, Columbia, MO, USA
| | - Richard Hammer
- Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA,Pathology and Anatomical Sciences, School of Medicine, University of Missouri, Columbia, MO, USA
| | - Jun Hang
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Xiu-Feng Wan
- Center for Influenza and Emerging Infectious Diseases, University of Missouri, Columbia, MO, USA,Department of Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, MO, USA,Bond Life Sciences Center, University of Missouri, Columbia, MO, USA,Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA,Department of Electrical Engineering & Computer Science, College of Engineering, University of Missouri, Columbia, MO, USA,Corresponding author. Center for Influenza and Emerging Infectious Diseases, University of Missouri, 1201 Rollins St, Columbia, MO 65211, USA
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24
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Zhang Z. Genomic Biomarker Heterogeneities between SARS-CoV-2 and COVID-19. Vaccines (Basel) 2022; 10:1657. [PMID: 36298522 PMCID: PMC9608907 DOI: 10.3390/vaccines10101657] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 09/27/2022] [Accepted: 09/29/2022] [Indexed: 11/06/2022] Open
Abstract
Genes functionally associated with SARS-CoV-2 infection and genes functionally related to the COVID-19 disease can be different, whose distinction will become the first essential step for successfully fighting against the COVID-19 pandemic. Unfortunately, this first step has not been completed in all biological and medical research. Using a newly developed max-competing logistic classifier, two genes, ATP6V1B2 and IFI27, stand out to be critical in the transcriptional response to SARS-CoV-2 infection with differential expressions derived from NP/OP swab PCR. This finding is evidenced by combining these two genes with another gene in predicting disease status to achieve better-indicating accuracy than existing classifiers with the same number of genes. In addition, combining these two genes with three other genes to form a five-gene classifier outperforms existing classifiers with ten or more genes. These two genes can be critical in fighting against the COVID-19 pandemic as a new focus and direction with their exceptional predicting accuracy. Comparing the functional effects of these genes with a five-gene classifier with 100% accuracy identified and tested from blood samples in our earlier work, the genes and their transcriptional response and functional effects on SARS-CoV-2 infection, and the genes and their functional signature patterns on COVID-19 antibodies, are significantly different. We will use a total of fourteen cohort studies (including breakthrough infections and omicron variants) with 1481 samples to justify our results. Such significant findings can help explore the causal and pathological links between SARS-CoV-2 infection and the COVID-19 disease, and fight against the disease with more targeted genes, vaccines, antiviral drugs, and therapies.
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Affiliation(s)
- Zhengjun Zhang
- Department of Statistics, School of Computer, Data & Information Sciences, University of Wisconsin, Madison, WI 53706, USA
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25
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Abstract
This technical report accompanies the recommendations of the American Academy of Pediatrics for the routine use of influenza vaccine and antiviral medications in the prevention and treatment of influenza in children during the 2022 to 2023 season. The American Academy of Pediatrics recommends annual influenza vaccination of all children without medical contraindications starting at 6 months of age. Influenza vaccination is an important strategy for protecting children and the broader community as well as reducing the overall burden of respiratory illnesses when other viruses, including severe acute respiratory syndrome-coronavirus 2, are cocirculating. This technical report summarizes recent influenza seasons, morbidity and mortality in children, vaccine effectiveness, and vaccination coverage, and provides detailed guidance on storage, administration, and implementation. The report also provides a brief background on inactivated and live attenuated influenza vaccine recommendations, vaccination during pregnancy and breastfeeding, diagnostic testing, and antiviral medications for treatment and chemoprophylaxis. Updated information is provided about the 2021 to 2022 influenza season, influenza immunization rates, the effectiveness of influenza vaccination on hospitalization and mortality, available vaccines, guidance for patients with history of severe allergic reactions to prior influenza vaccinations, and strategies to promote vaccine uptake.
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26
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Al-Sayyar A, Hulme KD, Thibaut R, Bayry J, Sheedy FJ, Short KR, Alzaid F. Respiratory Tract Infections in Diabetes - Lessons From Tuberculosis and Influenza to Guide Understanding of COVID-19 Severity. Front Endocrinol (Lausanne) 2022; 13:919223. [PMID: 35957811 PMCID: PMC9363013 DOI: 10.3389/fendo.2022.919223] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 06/17/2022] [Indexed: 11/13/2022] Open
Abstract
Patients with type-2 diabetes (T2D) are more likely to develop severe respiratory tract infections. Such susceptibility has gained increasing attention since the global spread of Coronavirus Disease 2019 (COVID-19) in early 2020. The earliest reports marked T2D as an important risk-factor for severe forms of disease and mortality across all adult age groups. Several mechanisms have been proposed for this increased susceptibility, including pre-existing immune dysfunction, a lack of metabolic flexibility due to insulin resistance, inadequate dietary quality or adverse interactions with antidiabetic treatments or common comorbidities. Some mechanisms that predispose patients with T2D to severe COVID-19 may indeed be shared with other previously characterized respiratory tract infections. Accordingly, in this review, we give an overview of response to Influenza A virus and to Mycobacterium tuberculosis (Mtb) infections. Similar risk factors and mechanisms are discussed between the two conditions and in the case of COVID-19. Lastly, we address emerging approaches to address research needs in infection and metabolic disease, and perspectives with regards to deployment or repositioning of metabolically active therapeutics.
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Affiliation(s)
| | - Katina D. Hulme
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD, Australia
| | - Ronan Thibaut
- Institut Necker Enfants Malades (INEM), Institut National de la Santé et de la Recherche Médicale (INSERM) U1151/CNRS UMRS8253, Immunity and Metabolism of Diabetes (IMMEDIAB), Université de Paris Cité, Paris, France
| | - Jagadeesh Bayry
- Department of Biological Sciences & Engineering, Indian Institute of Technology Palakkad, Palakkad, India
| | | | - Kirsty R. Short
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD, Australia
- Australian Infectious Diseases Research Centre, The University of Queensland, St Lucia, QLD, Australia
| | - Fawaz Alzaid
- Dasman Diabetes Institute, Dasman, Kuwait
- Institut Necker Enfants Malades (INEM), Institut National de la Santé et de la Recherche Médicale (INSERM) U1151/CNRS UMRS8253, Immunity and Metabolism of Diabetes (IMMEDIAB), Université de Paris Cité, Paris, France
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27
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Tesema L, Sullivan D, Pulido M, Traub E, Escobar J, Moore L, Green N, Hemarajata P, Cruely M, Civen R, El-Togby A, Ohannessian G, Silas S, San Diego R, Terashita D, Balter S, Gounder P. Notes from the Field: Influenza A(H3N2) Outbreak Following a School Event — Los Angeles, California, March 2022. MMWR. MORBIDITY AND MORTALITY WEEKLY REPORT 2022; 71:745-746. [PMID: 35653298 PMCID: PMC9169524 DOI: 10.15585/mmwr.mm7122a4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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28
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Martínez-Baz I, Casado I, Miqueleiz A, Navascués A, Pozo F, Trobajo-Sanmartín C, Albéniz E, Elía F, Burgui C, Fernández-Huerta M, Ezpeleta C, Castilla J. Effectiveness of influenza vaccination in preventing influenza in primary care, Navarre, Spain, 2021/22. EURO SURVEILLANCE : BULLETIN EUROPEEN SUR LES MALADIES TRANSMISSIBLES = EUROPEAN COMMUNICABLE DISEASE BULLETIN 2022; 27. [PMID: 35775428 PMCID: PMC9248265 DOI: 10.2807/1560-7917.es.2022.27.26.2200488] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Compared with individuals unvaccinated in the current and three previous influenza seasons, in 2021/22, influenza vaccine effectiveness at primary care level was 37% (95% CI: 16 to 52) for current season vaccination, regardless of previous doses, and 35% (95% CI: −3 to 45) for only previous seasons vaccination. Against influenza A(H3N2), estimates were 39% (95% CI: 16 to 55) and 24% (95% CI: −8 to 47) suggesting moderate effectiveness of current season vaccination and possible remaining effect of prior vaccinations.
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Affiliation(s)
- Iván Martínez-Baz
- Instituto de Salud Pública de Navarra, Pamplona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Spain.,Navarre Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Itziar Casado
- Instituto de Salud Pública de Navarra, Pamplona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Spain.,Navarre Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Ana Miqueleiz
- Navarre Institute for Health Research (IdiSNA), Pamplona, Spain.,Clinical Microbiology Department, Hospital Universitario de Navarra, Pamplona, Spain
| | - Ana Navascués
- Navarre Institute for Health Research (IdiSNA), Pamplona, Spain.,Clinical Microbiology Department, Hospital Universitario de Navarra, Pamplona, Spain
| | - Francisco Pozo
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain.,National Centre for Microbiology, Instituto de Salud Carlos III, Madrid, Spain
| | - Camino Trobajo-Sanmartín
- Instituto de Salud Pública de Navarra, Pamplona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Spain.,Navarre Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Esther Albéniz
- Navarre Institute for Health Research (IdiSNA), Pamplona, Spain.,Gerencia de Atención Primaria, Servicio Navarro de Salud-Osasunbidea, Pamplona, Spain
| | - Fernando Elía
- Navarre Institute for Health Research (IdiSNA), Pamplona, Spain.,Gerencia de Atención Primaria, Servicio Navarro de Salud-Osasunbidea, Pamplona, Spain
| | - Cristina Burgui
- Instituto de Salud Pública de Navarra, Pamplona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Spain.,Navarre Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Miguel Fernández-Huerta
- Navarre Institute for Health Research (IdiSNA), Pamplona, Spain.,Clinical Microbiology Department, Hospital Universitario de Navarra, Pamplona, Spain
| | - Carmen Ezpeleta
- Navarre Institute for Health Research (IdiSNA), Pamplona, Spain.,Clinical Microbiology Department, Hospital Universitario de Navarra, Pamplona, Spain
| | - Jesús Castilla
- Instituto de Salud Pública de Navarra, Pamplona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Spain.,Navarre Institute for Health Research (IdiSNA), Pamplona, Spain
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29
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Bolton MJ, Ort JT, McBride R, Swanson NJ, Wilson J, Awofolaju M, Furey C, Greenplate AR, Drapeau EM, Pekosz A, Paulson JC, Hensley SE. Antigenic and virological properties of an H3N2 variant that continues to dominate the 2021-22 Northern Hemisphere influenza season. Cell Rep 2022; 39:110897. [PMID: 35649381 PMCID: PMC9153083 DOI: 10.1016/j.celrep.2022.110897] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 04/15/2022] [Accepted: 05/10/2022] [Indexed: 01/25/2023] Open
Abstract
Influenza viruses circulated at very low levels during the beginning of the COVID-19 pandemic, and population immunity against these viruses is low. An H3N2 strain (3C.2a1b.2a2) with a hemagglutinin (HA) that has several substitutions relative to the 2021-22 H3N2 vaccine strain is dominating the 2021-22 Northern Hemisphere influenza season. Here, we show that one of these substitutions eliminates a key glycosylation site on HA and alters sialic acid binding. Using glycan array profiling, we show that the 3C.2a1b.2a2 H3 maintains binding to an extended biantennary sialoside and replicates to high titers in human airway cells. We find that antibodies elicited by the 2021-22 Northern Hemisphere influenza vaccine poorly neutralize the 3C.2a1b.2a2 H3N2 strain. Together, these data indicate that 3C.2a1b.2a2 H3N2 viruses efficiently replicate in human cells and escape vaccine-elicited antibodies.
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Affiliation(s)
- Marcus J Bolton
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jordan T Ort
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Ryan McBride
- Department of Molecular Medicine and Department of Immunology and Microbiology, Scripps Research Institute, La Jolla, CA 92037, USA
| | - Nicholas J Swanson
- Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Jo Wilson
- Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Moses Awofolaju
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Colleen Furey
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Allison R Greenplate
- Institute for Immunology and Immune Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Elizabeth M Drapeau
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Andrew Pekosz
- Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - James C Paulson
- Department of Molecular Medicine and Department of Immunology and Microbiology, Scripps Research Institute, La Jolla, CA 92037, USA
| | - Scott E Hensley
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
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30
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Melidou A, Ködmön C, Nahapetyan K, Kraus A, Alm E, Adlhoch C, Mooks P, Dave N, Carvalho C, Meslé MMI, Daniels R, Pebody R. Influenza returns with a season dominated by clade 3C.2a1b.2a.2 A(H3N2) viruses, WHO European Region, 2021/22. Euro Surveill 2022; 27. [PMID: 35426364 PMCID: PMC9012087 DOI: 10.2807/1560-7917.es.2022.27.15.2200255] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
In the WHO European Region, COVID-19 non-pharmaceutical interventions continued slowing influenza circulation in the 2021/22 season, with reduced characterisation data. A(H3) predominated and, in some countries, co-circulated with A(H1)pdm09 and B/Victoria viruses. No B/Yamagata virus detections were confirmed. Substantial proportions of characterised circulating virus subtypes or lineages differed antigenically from their respective northern hemisphere vaccine components. Appropriate levels of influenza virus characterisations should be maintained until the season end and in future seasons, when surveillance is adapted to integrate SARS-CoV-2.
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Affiliation(s)
- Angeliki Melidou
- European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
| | - Csaba Ködmön
- European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
| | - Karen Nahapetyan
- World Health Organization (WHO) Regional Office for Europe, Copenhagen, Denmark
| | - Annette Kraus
- European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
| | - Erik Alm
- European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
| | - Cornelia Adlhoch
- European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
| | - Piers Mooks
- World Health Organization (WHO) Regional Office for Europe, Copenhagen, Denmark
| | - Nishi Dave
- European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
| | - Carlos Carvalho
- European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
| | - Margaux MI Meslé
- World Health Organization (WHO) Regional Office for Europe, Copenhagen, Denmark
| | - Rodney Daniels
- WHO Collaborating Centre, Francis Crick Institute, London, United Kingdom
| | - Richard Pebody
- World Health Organization (WHO) Regional Office for Europe, Copenhagen, Denmark
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31
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Emborg HD, Vestergaard LS, Botnen AB, Nielsen J, Krause TG, Trebbien R. A late sharp increase in influenza detections and low interim vaccine effectiveness against the circulating A(H3N2) strain, Denmark, 2021/22 influenza season up to 25 March 2022. Euro Surveill 2022; 27. [PMID: 35426361 PMCID: PMC9012088 DOI: 10.2807/1560-7917.es.2022.27.15.2200278] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
We estimated interim influenza A vaccine effectiveness (VE) following a late sharp rise in cases during an influenza A(H3N2)-dominated 2021/22 season, after lifting COVID-19 restrictions. In children aged 2–6 years offered a live attenuated influenza vaccine, adjusted VE was 62.7% (95% CI: 10.9–84.4) in hospitalised and 64.2% (95% CI: 50.5–74.1) in non-hospitalised children. In non-hospitalised patients aged 7–44 years, VE was 24.8% (95% CI: 12.8–35.2); VE was non-significant in remaining age groups and hospital/non-hospital settings.
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