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Zhang J, Zhang L, Li J, Ma J, Wang Y, Sun Y, Ma C, Duan W, Wang Q, Yang P, Zhang D. Moderate effectiveness of influenza vaccine in outpatient settings: A test-negative study in Beijing, China, 2023/24 season. Vaccine 2025; 46:126662. [PMID: 39731809 DOI: 10.1016/j.vaccine.2024.126662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2024] [Revised: 12/17/2024] [Accepted: 12/19/2024] [Indexed: 12/30/2024]
Abstract
INTRODUCTION The objective of our study was to estimate the influenza vaccine effectiveness for 2023/24 epidemic of co-circulating influenza A(H3N2) and B(Victoria) viruses in Beijing, China. METHODS The surveillance-based study included all swabbed patients through influenza virological surveillance in Beijing, between October 2023 and March 2024. A Test-Negative Design(TND) was used to estimate influenza vaccine effectiveness(VE) against medically- attended laboratory-confirmed influenza in outpatient settings, also calculated the influenza vaccination rate(IVR). Cases were influenza-like illness (ILI) patients who tested positive for influenza, and controls were ILI who influenza negative patients. RESULTS A total of 18,665 ILI patients were enrolled and swabbed. Among them, 6362(34.1 %) tested positive for influenza, major epidemic strain was A(H3N2) and B(Victoria). The overall IVR was 8.7 %, and the differences of IVR by gender, age, region, chronic conditions and month of onset were statistically significant(P<0.05). The adjusted VE against all influenza was moderate at 44.8 %, with the highest for B (Victoria) at 52.2 %, the highest for 19-59 age at 72.4 %, and the highest when vaccinated only in current season at 48.3 %. CONCLUSION Our study suggested the influenza vaccine has moderate effectiveness, with the best VE against B(Victoria), followed by A(H3N2) and A(H1N1)pdm09 in Beijing, 2023/24 season. Meanwhile, the influenza VE was relatively high in school-age children and the elderly. Consistent long-term studies are required in the future to evaluate the protect effect of influenza vaccine.
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Affiliation(s)
- Jiaojiao Zhang
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Center for Disease Prevention and Control, Beijing, China; Beijing Research Center for Respiratory Infectious Diseases, Beijing, China
| | - Li Zhang
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Jia Li
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Jiaoxin Ma
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Yingying Wang
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Ying Sun
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Chunna Ma
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Wei Duan
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Quanyi Wang
- Beijing Research Center for Respiratory Infectious Diseases, Beijing, China; Beijing Center for Disease Prevention and Control, Beijing, China
| | - Peng Yang
- Beijing Research Center for Respiratory Infectious Diseases, Beijing, China; Beijing Center for Disease Prevention and Control, Beijing, China
| | - Daitao Zhang
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Center for Disease Prevention and Control, Beijing, China; Beijing Research Center for Respiratory Infectious Diseases, Beijing, China.
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Soens M, Ananworanich J, Hicks B, Lucas KJ, Cardona J, Sher L, Livermore G, Schaefers K, Henry C, Choi A, Avanesov A, Chen R, Du E, Pucci A, Das R, Miller J, Nachbagauer R. A phase 3 randomized safety and immunogenicity trial of mRNA-1010 seasonal influenza vaccine in adults. Vaccine 2025; 50:126847. [PMID: 39919447 DOI: 10.1016/j.vaccine.2025.126847] [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: 10/31/2024] [Revised: 01/29/2025] [Accepted: 01/31/2025] [Indexed: 02/09/2025]
Abstract
BACKGROUND Messenger RNA (mRNA)-based influenza vaccines have the potential to improve upon limitations of current vaccine approaches to seasonal influenza. METHODS Here we report findings on the primary and secondary objectives of the safety, reactogenicity, and humoral immunogenicity of the quadrivalent mRNA vaccine, mRNA-1010, versus licensed standard-dose and high-dose quadrivalent influenza vaccines from a three-part, phase 3 clinical trial in adults aged ≥18 years (Part A), 18-64 years (Part B), and ≥ 65 years (Part C) (NCT05827978). RESULTS A single 50-μg dose of mRNA-1010 elicited hemagglutination inhibition titers against vaccine-matched strains that were statistically noninferior and superior to licensed standard-dose and high-dose egg-based quadrivalent vaccine comparators. Solicited adverse reactions were more frequent with receipt of mRNA-1010; adverse reactions were lower in frequency and severity among adults aged ≥65 years than younger adults. No safety concerns were identified. CONCLUSIONS These findings support the potential benefit of mRNA-1010 as a seasonal influenza vaccine.
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Affiliation(s)
- Mieke Soens
- Moderna, Inc., 325 Binney St, Cambridge, MA 02142, USA.
| | | | - Bryony Hicks
- Moderna Biopharma Canada Corporation, 155 Wellington Street West, Toronto, ON M5V 3L3, Canada
| | | | - Jose Cardona
- Indago Research and Health Center Inc., 3700 W 12th Ave, Hialeah, FL 33012, USA
| | - Lawrence Sher
- Peninsula Research Associates - Headlands Research, 550 Deep Valley Dr, Rolling Hills Estates, CA 90274, USA
| | | | | | - Carole Henry
- Moderna, Inc., 325 Binney St, Cambridge, MA 02142, USA
| | - Angela Choi
- Moderna, Inc., 325 Binney St, Cambridge, MA 02142, USA
| | | | - Ren Chen
- Moderna, Inc., 325 Binney St, Cambridge, MA 02142, USA
| | - Evelyn Du
- Moderna, Inc., 325 Binney St, Cambridge, MA 02142, USA
| | - Alicia Pucci
- Moderna, Inc., 325 Binney St, Cambridge, MA 02142, USA
| | - Rituparna Das
- Moderna, Inc., 325 Binney St, Cambridge, MA 02142, USA
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Ortiz-de-Lejarazu Leonardo R, Díez Domingo J, de Miguel ÁG, Martinón Torres F, Margüello ER, López-Belmonte Claver JL, Palomo-Jiménez PI, Farré Avellà JM, Abellán Perpiñán JM. Critical assessment of uncertainty in economic evaluations on influenza vaccines for the elderly population in Spain. BMC Infect Dis 2025; 25:152. [PMID: 39893473 PMCID: PMC11786407 DOI: 10.1186/s12879-025-10442-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2024] [Accepted: 01/02/2025] [Indexed: 02/04/2025] Open
Abstract
BACKGROUND Influenza is a seasonal infection with a huge impact on morbidity and mortality in older adults, for whom vaccination is recommended. New influenza vaccines for this population have been introduced in Spain in the past 5 years, and a number of cost-effectiveness analyses (CEA) have been published to aid healthcare decision-making. The objective of this study was to assess possible sources of uncertainty in the CEAs of influenza vaccines for the older adults in Spain. METHODS A systematic review was performed to identify Spanish CEAs published since 2016. Potential sources of structural, methodologic and parametric uncertainty in CEA results were systematically analysed using the TRansparent Uncertainty ASsessmenT (TRUST) Tool, quality assessment checklists, and the WHO guidance on economic evaluations of influenza vaccine strategies. The primary sources of efficacy/effectiveness were analysed in depth to ascertain whether they could support the conclusions of the respective CEAs. RESULTS Seven CEAs were included. Overall, they were designed and performed in accordance with the applicable guidelines; however, some critical sources of uncertainty were detected, mainly: (1) the choice and use of efficacy/effectiveness data (real-world single season studies, meta-analyses including studies with high risk of bias and/or high heterogeneity with biased interpretation); (2) use of fewer than 5 seasons to estimate influenza burden; (3) generalized use of influenza-like illness data to estimate effectiveness and burden, among others. CONCLUSIONS Seemingly well-designed studies may conceal important sources of uncertainty that affect the results. This must be taken into account when interpreting results to support decision-making.
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Affiliation(s)
| | - Javier Díez Domingo
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO), Valencia, Spain
| | - Ángel Gil de Miguel
- Preventive and Public Health Department, Rey Juan Carlos University, Madrid, Spain
| | - Federico Martinón Torres
- Translational Paediatrics and Infectious Diseases Section, Paediatrics Department, Hospital Clínico Universitario de Santiago de Compostela, Santiago de Compostela, Spain
- Vaccines, Infections and Pediatrics Research Group (GENVIP), Healthcare Research Institute of Santiago de Compostela, Santiago de Compostela, 15706, Spain
| | - Esther Redondo Margüello
- International Healthcare Centre of Ayuntamiento de Madrid, Madrid, 28006, Spain
- CIBER of Respiratory Diseases (CIBERES), Instituto de Salud Carlos III, Madrid, 28029, Spain
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Cao Y, Han J, Xiao Y, Wang Z, Zhang H, Fang R, Li J, Dong M, Chen R, Zhu G, Han J, Sun L. Xiao-Er-Kang-Du capsules regulate autophagy against the influenza B virus (Victoria strain) through the mTOR/ULK1/Beclin1/VPS34 pathway. JOURNAL OF ETHNOPHARMACOLOGY 2025; 337:118872. [PMID: 39366496 DOI: 10.1016/j.jep.2024.118872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2024] [Revised: 09/06/2024] [Accepted: 09/30/2024] [Indexed: 10/06/2024]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Xiao-er-kang-du (XEKD) capsule is a Chinese herbal formula used for treatment of upper respiratory tract infection caused by various viruses in pediatric patients in China. XEKD is used clinically for the treatment of influenza-like symptoms, including fever, chills, cough, stuffy and runny nose, headache, and sore throat, with remarkable efficacy. However, the pharmacologic mechanism of XEKD against influenza B virus (IBV) infection is unclear. AIM OF THE STUDY The main purpose of the present work is to explore the curative effect as well as possible mechanisms of XEKD against influenza B virus (IBV) (Victoria strain). MATERIALS AND METHODS Both in vivo and in vitro experiments were performed to confirm the antiviral properties of XEKD. High-performance liquid chromatography was used to analyze the active components and assess the stability of XEKD. In addition, the mechanism of action of XEKD against IBV (Victoria) was investigated by western blot, immunofluorescence, and immunohistochemical analyses, in addition to confocal fluorescence microscopy. RESULTS The findings revealed that XEKD demonstrated antiviral effects against IBV infection in both in vivo and in vitro via the mTOR/ULK1/Beclin1/VPS34 pathway and promote cellular autophagy to mitigate IBV-induced lung tissue damage. The results of this work are expected to lead to a deeper understanding of the mechanism underlying the effect of the XEKD capsule against IBV infections. CONCLUSIONS IBV infection was found to inhibit autophagy, which exacerbated inflammatory damage. XEKD regulates autophagy through the mTOR/ULK1/Beclin1/VPS34 pathway and exerts antiviral effects, thereby laying a foundation for further development of XEKD as a potential therapeutic against IBV infection.
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Affiliation(s)
- Yan Cao
- College of Chinese Medicine, Changchun University of Chinese Medicine, Changchun, 130117, PR China; College of Basic Medical Sciences, Changchun University of Chinese Medicine, Changchun, 130117, PR China
| | - Jing Han
- College of Chinese Medicine, Changchun University of Chinese Medicine, Changchun, 130117, PR China; Center of Children's Clinic, The Affiliated Hospital to Changchun University of Chinese Medicine, Changchun, 130022, PR China
| | - Yan Xiao
- Key Laboratory of Jilin Province for Traditional Chinese Medicine Prevention and Treatment of Infectious Diseases, College of Integrative Medicine, Changchun University of Chinese Medicine, Changchun, 130117, PR China
| | - Zhongtian Wang
- College of Chinese Medicine, Changchun University of Chinese Medicine, Changchun, 130117, PR China; Center of Children's Clinic, The Affiliated Hospital to Changchun University of Chinese Medicine, Changchun, 130022, PR China
| | - Haiyang Zhang
- College of Chinese Medicine, Changchun University of Chinese Medicine, Changchun, 130117, PR China; Center of Children's Clinic, The Affiliated Hospital to Changchun University of Chinese Medicine, Changchun, 130022, PR China
| | - Ruikang Fang
- Key Laboratory of Jilin Province for Traditional Chinese Medicine Prevention and Treatment of Infectious Diseases, College of Integrative Medicine, Changchun University of Chinese Medicine, Changchun, 130117, PR China
| | - Jingjing Li
- Key Laboratory of Jilin Province for Traditional Chinese Medicine Prevention and Treatment of Infectious Diseases, College of Integrative Medicine, Changchun University of Chinese Medicine, Changchun, 130117, PR China
| | - Meiwen Dong
- Key Laboratory of Jilin Province for Traditional Chinese Medicine Prevention and Treatment of Infectious Diseases, College of Integrative Medicine, Changchun University of Chinese Medicine, Changchun, 130117, PR China
| | - Rui Chen
- College of Basic Medical Sciences, Changchun University of Chinese Medicine, Changchun, 130117, PR China.
| | - Guangze Zhu
- Key Laboratory of Jilin Province for Traditional Chinese Medicine Prevention and Treatment of Infectious Diseases, College of Integrative Medicine, Changchun University of Chinese Medicine, Changchun, 130117, PR China.
| | - Jicheng Han
- Key Laboratory of Jilin Province for Traditional Chinese Medicine Prevention and Treatment of Infectious Diseases, College of Integrative Medicine, Changchun University of Chinese Medicine, Changchun, 130117, PR China.
| | - Liping Sun
- College of Chinese Medicine, Changchun University of Chinese Medicine, Changchun, 130117, PR China; Center of Children's Clinic, The Affiliated Hospital to Changchun University of Chinese Medicine, Changchun, 130022, PR China.
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Kamio N, Cueno ME, Takagi A, Imai K. Porphyromonas gingivalis gingipain potentially activates influenza A virus infectivity through proteolytic cleavage of viral hemagglutinin. J Biol Chem 2025; 301:108166. [PMID: 39793895 PMCID: PMC11834065 DOI: 10.1016/j.jbc.2025.108166] [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: 06/10/2024] [Revised: 11/03/2024] [Accepted: 11/30/2024] [Indexed: 01/13/2025] Open
Abstract
Influenza is a worldwide health problem that causes significant morbidity and mortality among the elderly; therefore, its prevention is important. During influenza virus infection, the cleavage of hemagglutinin (HA) is essential for the virus to enter host cells. Influenza virus-bacteria interactions influence the pathogenicity of infections, and specific bacteria contribute to the severity of the disease by participating in HA cleavage. Poor oral hygiene and the presence of oral bacteria are associated with influenza. Porphyromonas gingivalis, a periodontopathic bacterium, is particularly associated with influenza; however, the underlying mechanisms remain unclear. In the present study, we observed P. gingivalis culture supernatant promoted viral release and cell-to-cell spread of the infection. Further investigation revealed that the supernatant contained cleaved HA. Therefore, we focused on gingipains (Rgp and Kgp) which are trypsin-like proteases produced by P. gingivalis. We determined that the Rgp inhibitor inhibited both HA cleavage and the increase in virus release associated with the P. gingivalis culture supernatant, whereas such effects were not observed with the Kgp inhibitor. In addition, Rgp-deficient P. gingivalis culture supernatant failed to cleave HA, enhance virus spread, or increase virus release. In contrast, Kgp-deficient P. gingivalis culture supernatant cleaved HA and promoted infection. These results indicated that P. gingivalis-secreted Rgp has the potential to activate influenza virus infectivity through HA cleavage, suggesting that understanding the effects of P. gingivalis on influenza virus infection will contribute to the establishment of influenza prevention measures.
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Affiliation(s)
- Noriaki Kamio
- Department of Microbiology and Immunology, Nihon University School of Dentistry, Tokyo, Japan.
| | - Marni E Cueno
- Department of Microbiology and Immunology, Nihon University School of Dentistry, Tokyo, Japan
| | - Asako Takagi
- Department of Microbiology and Immunology, Nihon University School of Dentistry, Tokyo, Japan
| | - Kenichi Imai
- Department of Microbiology and Immunology, Nihon University School of Dentistry, Tokyo, Japan.
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Debbag R, Rudin D, Ceddia F, Watkins J. The Impact of Vaccination on COVID-19, Influenza, and Respiratory Syncytial Virus-Related Outcomes: A Narrative Review. Infect Dis Ther 2025; 14:63-97. [PMID: 39739199 PMCID: PMC11724835 DOI: 10.1007/s40121-024-01079-x] [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: 06/03/2024] [Accepted: 11/06/2024] [Indexed: 01/02/2025] Open
Abstract
Vaccination represents a core preventive strategy for public health, with interrelated and multifaceted effects across health and socioeconomic domains. Beyond immediate disease prevention, immunization positively influences downstream health outcomes by mitigating complications of preexisting comorbidities and promoting healthy aging. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), influenza virus, and respiratory syncytial virus (RSV) are common respiratory viruses responsible for broad societal cost and substantial morbidity and mortality, particularly among at-risk individuals, including older adults and people with frailty or certain comorbid conditions. In this narrative review, we summarize the overall impact of vaccination for these 3 viruses, focusing on mRNA vaccines, each of which exhibits unique patterns of infection, risk, and transmission dynamics, but collectively represent a target for preventive strategies. Vaccines for COVID-19 (caused by SARS-CoV-2) and influenza are effective against the most severe outcomes, such as hospitalization and death; these vaccines represent the most potent and cost-effective interventions for the protection of population and individual health against COVID-19 and influenza, particularly for older adults and those with comorbid conditions. Based on promising results of efficacy for the prevention of RSV-associated lower respiratory tract disease, the first RSV vaccines were approved in 2023. Immunization strategies should account for various factors leading to poor uptake, including vaccine hesitancy, socioeconomic barriers to access, cultural beliefs, and lack of knowledge of vaccines and disease states. Coadministration of vaccines and combination vaccines, such as multicomponent mRNA vaccines, offer potential advantages in logistics and delivery, thus improving uptake and reducing barriers to adoption of new vaccines. The success of the mRNA vaccine platform was powerfully demonstrated during the COVID-19 pandemic; these and other new approaches show promise as a means to overcome existing challenges in vaccine development and to sustain protection against viral changes over time.A graphical abstract and video abstract is available with this article.
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Affiliation(s)
- Roberto Debbag
- Latin American Vaccinology Society, Buenos Aires, Argentina
| | | | | | - John Watkins
- Department of Population Medicine, Cardiff University, Cardiff, UK.
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Yang S, Wang Q, Li T, Long J, Xiong Y, Feng L, Wang Q, Zhao Y, Yang J, Tang W, Zhang H, Qi L. Effectiveness of influenza vaccine among the population in Chongqing, China, 2018-2022: A test negative design-based evaluation. Hum Vaccin Immunother 2024; 20:2376821. [PMID: 39025479 PMCID: PMC11259055 DOI: 10.1080/21645515.2024.2376821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Revised: 06/19/2024] [Accepted: 07/03/2024] [Indexed: 07/20/2024] Open
Abstract
Influenza vaccination is the most cost-effective strategy for influenza prevention. Influenza vaccines have been found to be effective against symptomatic and medically attended outpatient influenza illnesses. However, there is currently a lack of data regarding the effectiveness of inactivated influenza vaccines in Chongqing, China. We conducted a prospective observational test-negative design study. Outpatient and emergency cases presenting with influenza-like illnesses (ILI) and 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). A total of 7,307 cases of influenza and 7,905 control subjects were included in this study. The overall adjusted influenza vaccine effectiveness (IVE) was 44.4% (95% confidence interval (CI): 32.5-54.2%). In the age groups of less than 6 years old, 6-18 years old, and 19-59 years old, the adjusted IVE were 32.2% (95% CI: 10.0-48.9%), 48.2% (95% CI: 30.6-61.4%), and 72.0% (95% CI: 43.6-86.1%). The adjusted IVE for H1N1, H3N2 and B (Victoria) were 71.1% (95% CI: 55.4-81.3%), 36.1% (95% CI: 14.6-52.2%) and 33.7% (95% CI: 14.6-48.5%). Influenza vaccination was effective in Chongqing from 2018 to 2022. Evaluating IVE in this area is feasible and should be conducted annually in the future.
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Affiliation(s)
- Shuang Yang
- Infectious Disease Prevention and Control, Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
- School of Public Health, Chongqing Medical University, Chongqing, China
| | - Qing Wang
- Infectious Disease Prevention and Control, Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
- 2023 Key Disciplines on Public Health Construction in Chongqing, Chongqing, China
| | - Tingting Li
- Infectious Disease Prevention and Control, Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
- 2023 Key Disciplines on Public Health Construction in Chongqing, Chongqing, China
| | - Jiang Long
- Infectious Disease Prevention and Control, Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
- 2023 Key Disciplines on Public Health Construction in Chongqing, Chongqing, China
| | - Yu Xiong
- Infectious Disease Prevention and Control, Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
- 2023 Key Disciplines on Public Health Construction in Chongqing, Chongqing, China
| | - Luzhao Feng
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qing Wang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yong Zhao
- School of Public Health, Chongqing Medical University, Chongqing, China
| | - Jule Yang
- Infectious Disease Prevention and Control, Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
- 2023 Key Disciplines on Public Health Construction in Chongqing, Chongqing, China
| | - Wenge Tang
- Infectious Disease Prevention and Control, Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
- 2023 Key Disciplines on Public Health Construction in Chongqing, Chongqing, China
| | - Huadong Zhang
- Infectious Disease Prevention and Control, Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
- 2023 Key Disciplines on Public Health Construction in Chongqing, Chongqing, China
| | - Li Qi
- Infectious Disease Prevention and Control, Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
- 2023 Key Disciplines on Public Health Construction in Chongqing, Chongqing, China
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Miller MS, Montomoli E, Leshem E, Schotsaert M, Weinke T, Vicic N, Rudin D. Seasonal influenza vaccines: Variability of immune responses to B lineage viruses. Hum Vaccin Immunother 2024; 20:2421096. [PMID: 39552079 PMCID: PMC11581161 DOI: 10.1080/21645515.2024.2421096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2024] [Revised: 10/11/2024] [Accepted: 10/22/2024] [Indexed: 11/19/2024] Open
Abstract
Although influenza A viruses predominate globally, influenza B viruses are responsible for a significant and often underappreciated burden. Despite this, immunity to influenza B viruses remains understudied, and there is a perception that vaccine-mediated immune responses to influenza B strains are less robust than influenza A strains. This targeted literature review examines this concept using data from pivotal phase 3 immunogenicity studies on currently licensed seasonal influenza vaccines and explores several explanations for this phenomenon, including immune exposure history, assay limitations, virus-related properties inherent to B lineages, and strain mismatch. Overall, studies demonstrated vaccines induce variable and sometimes less robust immune responses to influenza B strains; however, further studies are needed to fully confirm and understand these observations. In identifying the potential causes of variable performance of current vaccines against influenza, this review aims to guide vaccine development to enhance overall vaccine performance and reduce disease burden worldwide.
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Affiliation(s)
- Matthew S. Miller
- Michael G. DeGroote Institute for Infectious Disease Research, McMaster Immunology Research Centre, Department of Biochemistry & Biomedical Sciences, McMaster University, Hamilton, ON, Canada
| | - Emanuele Montomoli
- Department of Molecular and Developmental Medicine, University of Siena, Siena, Italy
| | - Eyal Leshem
- Infectious Disease Unit, Sheba Medical Center, Ramat-Gan, Israel, and Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Michael Schotsaert
- Department of Microbiology, Global Health and Emerging Pathogens Institute, Icahn Genomics Institute, Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Sumner KM, Sahni LC, Boom JA, Halasa NB, Stewart LS, Englund JA, Klein EJ, Staat MA, Schlaudecker EP, Selvarangan R, Harrison CJ, Weinberg GA, Szilagyi PG, Singer MN, Azimi PH, Clopper BR, Moline HL, Noble EK, Williams JV, Michaels MG, Olson SM. Estimated Vaccine Effectiveness for Pediatric Patients With Severe Influenza, 2015-2020. JAMA Netw Open 2024; 7:e2452512. [PMID: 39729317 DOI: 10.1001/jamanetworkopen.2024.52512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2024] Open
Abstract
Importance Increasing the understanding of vaccine effectiveness (VE) against levels of severe influenza in children could help increase uptake of influenza vaccination and strengthen vaccine policies globally. Objective To investigate VE in children by severity of influenza illness. Design, Setting, and Participants This case-control study with a test-negative design used data from 8 participating medical centers located in geographically different US states in the New Vaccine Surveillance Network from November 6, 2015, through April 8, 2020. Participants included children 6 months through 17 years of age who were hospitalized or presented to an emergency department (ED) with acute respiratory illness. Exposures Receipt of at least 1 dose of the current season's influenza vaccine. Main Outcomes and Measures Demographic and clinical characteristics of patients presenting to the hospital or ED with or without influenza were recorded and grouped by influenza vaccination status. Estimated VE against severe influenza illness was calculated using multiple measures to capture illness severity. Data were analyzed between June 1, 2022, and September 30, 2023. Results Among 15 728 children presenting for care with acute respiratory illness (8708 [55.4%] male; 13 450 [85.5%] 6 months to 8 years of age and 2278 [14.5%] 9-17 years of age), 2710 (17.2%) had positive influenza tests and 13 018 (82.8%) had negative influenza tests (controls). Of the influenza test-positive cases, 1676 children (61.8%) had an ED visit, 896 children (33.1%) required hospitalization for noncritical influenza, and 138 children (5.1%) required hospitalization for critical influenza. About half (7779 [49.5%]) of the children (both influenza test positive and test negative) were vaccinated. Receiving at least 1 influenza vaccine dose was estimated to have a VE of 55.7% (95% CI, 51.6%-59.6%) for preventing influenza-associated ED visits or hospitalizations among children of all ages. The estimated VE was similar across severity levels: 52.8% (95% CI, 46.6%-58.3%) for ED visits, 52.3% (95% CI, 44.8%-58.8%) for noncritical hospitalization, and 50.4% (95% CI, 29.7%-65.3%) for critical hospitalization. Conclusions and Relevance Findings from this case-control study with a test-negative design involving children with a spectrum of influenza severity suggest that influenza vaccination protects children against all levels of severe influenza illness.
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Affiliation(s)
- Kelsey M Sumner
- Influenza Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia
- Epidemic Intelligence Service, US Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Leila C Sahni
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas
- Texas Children's Hospital, Houston
| | - Julie A Boom
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas
- Texas Children's Hospital, Houston
| | | | | | | | - Eileen J Klein
- Seattle Children's Research Institute, Seattle, Washington
| | - Mary A Staat
- Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Elizabeth P Schlaudecker
- Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Rangaraj Selvarangan
- University of Missouri-Kansas City School of Medicine, Children's Mercy Kansas City, Kansas City
| | - Christopher J Harrison
- University of Missouri-Kansas City School of Medicine, Children's Mercy Kansas City, Kansas City
| | - Geoffrey A Weinberg
- University of Rochester School of Medicine and Dentistry, Rochester, New York
| | - Peter G Szilagyi
- University of Rochester School of Medicine and Dentistry, Rochester, New York
- UCLA Mattel Children's Hospital, Department of Pediatrics, University of California at Los Angeles
| | - Monica N Singer
- University of California, San Francisco Benioff Children's Hospital Oakland, Oakland
| | - Parvin H Azimi
- University of California, San Francisco Benioff Children's Hospital Oakland, Oakland
| | - Benjamin R Clopper
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Heidi L Moline
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Emma K Noble
- Influenza Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia
- Oak Ridge Institute for Science and Education, Oak Ridge, Tennessee
| | - John V Williams
- UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison
| | - Marian G Michaels
- UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Samantha M Olson
- Influenza Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia
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10
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Taaffe J, Ostrowsky JT, Mott J, Goldin S, Friede M, Gsell P, Chadwick C. Advancing influenza vaccines: A review of next-generation candidates and their potential for global health impact. Vaccine 2024; 42:126408. [PMID: 39369576 DOI: 10.1016/j.vaccine.2024.126408] [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: 06/21/2024] [Revised: 08/20/2024] [Accepted: 09/26/2024] [Indexed: 10/08/2024]
Abstract
BACKGROUND Influenza vaccines are an essential tool for influenza prevention, control and preparedness. However, demand for them and their programmatic suitability globally is significantly influenced by their variable effectiveness against influenza illness annually, limited duration of protection and need for yearly updating and vaccination. As such, the World Health Organization and major funders, such as the United States National Institute of Allergy and Infectious Diseases and Bill and Melinda Gates Foundation, have strongly encouraged developing influenza vaccines with increased efficacy, breadth and duration of protection. Here, we review the next-generation influenza vaccine pipeline, focusing on products in clinical development, and compare their characteristics to currently approved seasonal influenza vaccines. METHODS To identify and characterize next-generation influenza vaccine candidates, we conducted a comprehensive literature review, using the CIDRAP Universal Influenza Vaccine Technology Landscape as a primary reference source and extracting additional information from peer-reviewed manuscripts, clinical trial records and other media in the public domain. RESULTS Our analysis reveals a robust clinical development pipeline for next-generation influenza vaccines, featuring a diversity of approaches to address existing vaccine challenges and several candidates in advanced stages of development. mRNA vaccines emerged as a predominant platform, as evidenced by the number of candidates focused on improved seasonal protection as well as combination vaccine candidates targeting additional respiratory viruses. CONCLUSION While still early in development, results from universal or broadly protective products are promising and warrant continued investment from funders. As most Phase 3 candidates are mRNA-based and include combination vaccines, it is critical to begin considering how these new products may become integrated into the current global influenza vaccine strain selection and manufacturing ecosystems, and existing immunization programmes.
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Affiliation(s)
| | - Julia T Ostrowsky
- Center for Infectious Disease Research and Policy, University of Minnesota, Minneapolis, USA
| | - Joshua Mott
- World Health Organization, Geneva, Switzerland
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11
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Hatta Y, Hill-Batorski L, Moser MJ, Marshall D, Boltz DA, Westfall L, Herber R, Sarawar S, Bilsel P. Intranasal M2SR and BM2SR Vaccine Viruses Do Not Shed or Transmit in Ferrets. Vaccines (Basel) 2024; 12:1228. [PMID: 39591131 PMCID: PMC11598709 DOI: 10.3390/vaccines12111228] [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: 09/24/2024] [Revised: 10/19/2024] [Accepted: 10/27/2024] [Indexed: 11/28/2024] Open
Abstract
BACKGROUND/OBJECTIVES Live influenza vaccines are considered to stimulate better overall immune responses but are associated with safety concerns regarding shedding and the potential for transmission or reassortment with wild-type influenza viruses. Intranasal M2SR and BM2SR (M2- and BM2-deficient single replication), intranasal influenza viruses, have shown promise as broadly cross-reactive next-generation influenza vaccines. The replication deficiency, shedding, and transmissibility of M2SR/BM2SR viruses were evaluated in a ferret model. METHODS Wild-type influenza A and B control viruses replicated in upper respiratory organs and transmitted to both direct and aerosol contact ferrets, whereas M2SR and BM2SR influenza vaccine viruses were not detected in any tissues or in nasal washes after inoculation and were not recovered from any direct or aerosol contact ferrets. Mice were simultaneously infected with wild-type influenza A and M2SR viruses to assess reassortment potential. Sequence and PCR analyses of the genome recovered from individual virus plaques isolated from lung homogenates identified the origin of the segments as exclusively from the replicating wild-type virus. RESULTS These results indicate that M2SR and BM2SR influenza vaccine viruses are attenuated, do not shed or transmit, and have a low probability for reassortment after coinfection. Absence of shedding was further demonstrated in nasal swabs taken from subjects who were inoculated with H3N2 M2SR in a previously described Phase 1 clinical study. CONCLUSIONS These results indicate that M2SR/BM2SR viruses have the potential to be used in a broader population range than current live influenza vaccines.
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Affiliation(s)
| | | | | | | | | | | | | | - Sally Sarawar
- The BioMedical Research Institute of Southern California, Oceanside, CA 92056, USA
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12
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Tramuto F, Maida CM, Randazzo G, Previti A, Sferlazza G, Graziano G, Costantino C, Mazzucco W, Vitale F. Insights into Genetic and Antigenic Characteristics of Influenza A(H1N1)pdm09 Viruses Circulating in Sicily During the Surveillance Season 2023-2024: The Potential Effect on the Seasonal Vaccine Effectiveness. Viruses 2024; 16:1644. [PMID: 39459976 PMCID: PMC11512306 DOI: 10.3390/v16101644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2024] [Revised: 10/16/2024] [Accepted: 10/18/2024] [Indexed: 10/28/2024] Open
Abstract
After disruption in the influenza circulation due to the emergence of SARS-CoV-2, the intensity of seasonal outbreaks has returned to the pre-pandemic levels. This study aimed to evaluate the evolution and variability of whole-genome sequences of A(H1N1)pdm09, the predominant influenza virus in Sicily (Italy) during the season 2023-2024. The potential vaccine efficacy was calculated using the pepitope model based on amino acid changes in the dominant epitope of hemagglutinin. The HA gene sequences showed several amino acid substitutions, some of which were within the major antigenic sites. The phylogenetic analysis showed that Sicilian strains grouped into two main genetic clades (6B.1A.5a.2a.1 and 6B.1A.5a.2a) and several subclades. Notably, about 40% of sequences partially drifted from the WHO-recommended vaccine strain A/Victoria/4897/2022 for the Northern Hemisphere. These sequences mostly belonged to the subclades C.1.8 and C.1.9 and harboured the amino acid mutations responsible for the modest predicted vaccine efficacy (E = 38.12% of 53%, pepitope = 0) against these viruses. Amino acid substitutions in other gene segments were also found. Since influenza viruses are constantly evolving, genomic surveillance is crucial in monitoring their molecular evolution and the occurrence of genetic and antigenic changes, and, thus, their potential impact on vaccine efficacy.
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MESH Headings
- Influenza A Virus, H1N1 Subtype/genetics
- Influenza A Virus, H1N1 Subtype/immunology
- Influenza A Virus, H1N1 Subtype/classification
- Sicily/epidemiology
- Humans
- Influenza, Human/virology
- Influenza, Human/prevention & control
- Influenza, Human/epidemiology
- Phylogeny
- Influenza Vaccines/immunology
- Influenza Vaccines/genetics
- Hemagglutinin Glycoproteins, Influenza Virus/genetics
- Hemagglutinin Glycoproteins, Influenza Virus/immunology
- Vaccine Efficacy
- Seasons
- Antigens, Viral/genetics
- Antigens, Viral/immunology
- Amino Acid Substitution
- Whole Genome Sequencing
- Epitopes/immunology
- Epitopes/genetics
- Genome, Viral
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Affiliation(s)
- Fabio Tramuto
- Department of Health Promotion Sciences Maternal and Infant Care, Internal Medicine and Medical Specialties “G. D’Alessandro”-Hygiene Section, University of Palermo, 90127 Palermo, Italy; (C.M.M.); (C.C.); (W.M.); (F.V.)
- Regional Reference Laboratory for Molecular Surveillance of Influenza, Clinical Epidemiology Unit, University Hospital “Paolo Giaccone”, 90127 Palermo, Italy; (G.R.); (A.P.); (G.S.); (G.G.)
| | - Carmelo Massimo Maida
- Department of Health Promotion Sciences Maternal and Infant Care, Internal Medicine and Medical Specialties “G. D’Alessandro”-Hygiene Section, University of Palermo, 90127 Palermo, Italy; (C.M.M.); (C.C.); (W.M.); (F.V.)
- Regional Reference Laboratory for Molecular Surveillance of Influenza, Clinical Epidemiology Unit, University Hospital “Paolo Giaccone”, 90127 Palermo, Italy; (G.R.); (A.P.); (G.S.); (G.G.)
| | - Giulia Randazzo
- Regional Reference Laboratory for Molecular Surveillance of Influenza, Clinical Epidemiology Unit, University Hospital “Paolo Giaccone”, 90127 Palermo, Italy; (G.R.); (A.P.); (G.S.); (G.G.)
| | - Adriana Previti
- Regional Reference Laboratory for Molecular Surveillance of Influenza, Clinical Epidemiology Unit, University Hospital “Paolo Giaccone”, 90127 Palermo, Italy; (G.R.); (A.P.); (G.S.); (G.G.)
| | - Giuseppe Sferlazza
- Regional Reference Laboratory for Molecular Surveillance of Influenza, Clinical Epidemiology Unit, University Hospital “Paolo Giaccone”, 90127 Palermo, Italy; (G.R.); (A.P.); (G.S.); (G.G.)
| | - Giorgio Graziano
- Regional Reference Laboratory for Molecular Surveillance of Influenza, Clinical Epidemiology Unit, University Hospital “Paolo Giaccone”, 90127 Palermo, Italy; (G.R.); (A.P.); (G.S.); (G.G.)
| | - Claudio Costantino
- Department of Health Promotion Sciences Maternal and Infant Care, Internal Medicine and Medical Specialties “G. D’Alessandro”-Hygiene Section, University of Palermo, 90127 Palermo, Italy; (C.M.M.); (C.C.); (W.M.); (F.V.)
- Regional Reference Laboratory for Molecular Surveillance of Influenza, Clinical Epidemiology Unit, University Hospital “Paolo Giaccone”, 90127 Palermo, Italy; (G.R.); (A.P.); (G.S.); (G.G.)
| | - Walter Mazzucco
- Department of Health Promotion Sciences Maternal and Infant Care, Internal Medicine and Medical Specialties “G. D’Alessandro”-Hygiene Section, University of Palermo, 90127 Palermo, Italy; (C.M.M.); (C.C.); (W.M.); (F.V.)
- Regional Reference Laboratory for Molecular Surveillance of Influenza, Clinical Epidemiology Unit, University Hospital “Paolo Giaccone”, 90127 Palermo, Italy; (G.R.); (A.P.); (G.S.); (G.G.)
| | - Francesco Vitale
- Department of Health Promotion Sciences Maternal and Infant Care, Internal Medicine and Medical Specialties “G. D’Alessandro”-Hygiene Section, University of Palermo, 90127 Palermo, Italy; (C.M.M.); (C.C.); (W.M.); (F.V.)
- Regional Reference Laboratory for Molecular Surveillance of Influenza, Clinical Epidemiology Unit, University Hospital “Paolo Giaccone”, 90127 Palermo, Italy; (G.R.); (A.P.); (G.S.); (G.G.)
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13
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Zhang L, Lu G, Ma C, Zhang J, Li J, Duan W, Ma J, Shi W, Wang Y, Sun Y, Zhang D, Wang Q, Huo D. Influenza Vaccine Effectiveness against Influenza A-Associated Outpatient and Emergency-Department-Attended Influenza-like Illness during the Delayed 2022-2023 Season in Beijing, China. Vaccines (Basel) 2024; 12:1124. [PMID: 39460291 PMCID: PMC11511380 DOI: 10.3390/vaccines12101124] [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: 08/21/2024] [Revised: 09/20/2024] [Accepted: 09/24/2024] [Indexed: 10/28/2024] Open
Abstract
BACKGROUND During the 2022-2023 influenza season, the influenza activities in most regions of China were postponed, including Beijing. The unusually delayed influenza epidemic posed a challenge to the effectiveness of the influenza vaccine. METHODS Using the test-negative design, we evaluated influenza vaccine effectiveness (VE) during the 2022-2023 influenza season against influenza A-associated outpatient and emergency-department-attended influenza-like illness (ILI) in Beijing, China, from 9 January to 30 April 2023. RESULTS The analysis included 8301 medically attended ILI patients, of which 1342 (46.2%) had influenza A(H1N1)pdm09, 1554 (53.4%) had influenza A(H3N2), and 11 (0.4%) had co-infection of the two viruses. VE against influenza A-associated ILI patients was 23.2% (95% CI: -6.5% to 44.6%) overall, and 23.1%, 9.9%, and 33.8% among children aged 6 months to 17 years, adults aged 18-59 years, and adults aged ≥60 years, respectively. VE against influenza A(H1N1)pdm09 and against influenza A(H3N2) were 36.2% (95% CI: -1.9% to 60.1%) and 9.5% (95% CI: -34.1% to 39.0%), respectively. VE of the group with vaccination intervals of 14-90 days (70.1%, 95% CI: -145.4 to 96.4) was higher than that of the groups with a vaccination interval of 90-149 days (18.7%, 95% CI: -42.4% to 53.6%) and ≥150 days (21.2%, 95% CI: -18.8% to 47.7%). CONCLUSIONS A moderate VE against influenza A(H1N1)pdm09 and a low VE against influenza A(H3N2) were observed in Beijing during the 2022-2023 influenza season, a season characterized with a delayed and high-intensity influenza epidemic. VE appears to be better within three months after vaccination. Our findings indicate a potential need for the optimization of vaccination policies and underscore the importance of continuous monitoring of influenza to enhance vaccines and optimizing vaccination timing.
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Affiliation(s)
- Li Zhang
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, No.16 He Pingli Middle St, Dongcheng District, Beijing 100013, China; (L.Z.)
| | - Guilan Lu
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, No.16 He Pingli Middle St, Dongcheng District, Beijing 100013, China; (L.Z.)
| | - Chunna Ma
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, No.16 He Pingli Middle St, Dongcheng District, Beijing 100013, China; (L.Z.)
| | - Jiaojiao Zhang
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, No.16 He Pingli Middle St, Dongcheng District, Beijing 100013, China; (L.Z.)
| | - Jia Li
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, No.16 He Pingli Middle St, Dongcheng District, Beijing 100013, China; (L.Z.)
| | - Wei Duan
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, No.16 He Pingli Middle St, Dongcheng District, Beijing 100013, China; (L.Z.)
| | - Jiaxin Ma
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, No.16 He Pingli Middle St, Dongcheng District, Beijing 100013, China; (L.Z.)
| | - Weixian Shi
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, No.16 He Pingli Middle St, Dongcheng District, Beijing 100013, China; (L.Z.)
| | - Yingying Wang
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, No.16 He Pingli Middle St, Dongcheng District, Beijing 100013, China; (L.Z.)
| | - Ying Sun
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, No.16 He Pingli Middle St, Dongcheng District, Beijing 100013, China; (L.Z.)
| | - Daitao Zhang
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, No.16 He Pingli Middle St, Dongcheng District, Beijing 100013, China; (L.Z.)
- Beijing Research Center for Respiratory Infectious Diseases, No.16 He Pingli Middle St, Dongcheng District, Beijing 100013, China
| | - Quanyi Wang
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, No.16 He Pingli Middle St, Dongcheng District, Beijing 100013, China; (L.Z.)
- Beijing Research Center for Respiratory Infectious Diseases, No.16 He Pingli Middle St, Dongcheng District, Beijing 100013, China
| | - Da Huo
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, No.16 He Pingli Middle St, Dongcheng District, Beijing 100013, China; (L.Z.)
- School of Public Health, Capital Medical University, 10 Xitoutiao You’anmenwai St, Fengtai District, Beijing 100069, China
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14
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Cowling BJ, Okoli GN. Influenza Vaccine Effectiveness and Progress Towards a Universal Influenza Vaccine. Drugs 2024; 84:1013-1023. [PMID: 39167316 PMCID: PMC11438668 DOI: 10.1007/s40265-024-02083-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/04/2024] [Indexed: 08/23/2024]
Abstract
At various times in recent decades, surges have occurred in optimism about the potential for universal influenza vaccines that provide strong, broad, and long-lasting protection and could substantially reduce the disease burden associated with seasonal influenza epidemics as well as the threat posed by pandemic influenza. Each year more than 500 million doses of seasonal influenza vaccine are administered around the world, with most doses being egg-grown inactivated subunit or split-virion vaccines. These vaccines tend to have moderate effectiveness against medically attended influenza for influenza A(H1N1) and influenza B, and somewhat lower for influenza A(H3N2) where differences between vaccine strains and circulating strains can occur more frequently due to antigenic drift and egg adaptations in the vaccine strains. Several enhanced influenza vaccine platforms have been developed including cell-grown antigen, the inclusion of adjuvants, or higher antigen doses, to improve immunogenicity and protection. During the COVID-19 pandemic there was unprecedented speed in development and roll-out of relatively new vaccine platforms, including mRNA vaccines and viral vector vaccines. These new platforms present opportunities to improve protection for influenza beyond existing products. Other approaches continue to be explored. Incremental improvements in influenza vaccine performance should be achievable in the short to medium term.
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Affiliation(s)
- Benjamin J Cowling
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China.
- Laboratory of Data Discovery for Health Limited, Hong Kong Science and Technology Park, New Territories, Hong Kong Special Administrative Region, Hong Kong, China.
| | - George N Okoli
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
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15
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Peng B, Wang Y, Xie Y, Dong X, Liu W, Li D, Chen H. An overview of influenza A virus detection methods: from state-of-the-art of laboratories to point-of-care strategies. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2024; 16:4496-4515. [PMID: 38946516 DOI: 10.1039/d4ay00508b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
Abstract
Influenza A virus (IAV), a common respiratory infectious pathogen, poses a significant risk to personal health and public health safety due to rapid mutation and wide host range. To better prevent and treat IAV, comprehensive measures are needed for early and rapid screening and detection of IAV. Although traditional laboratory-based techniques are accurate, they are often time-consuming and not always feasible in emergency or resource-limited areas. In contrast, emerging point-of-care strategies provide faster results but may compromise sensitivity and specificity. Here, this review critically evaluates various detection methods for IAV from established laboratory-based procedures to innovative rapid diagnosis. By analyzing the recent research progress, we aim to address significant gaps in understanding the effectiveness, practicality, and applicability of these methods in different scenarios, which could provide information for healthcare strategies, guide public health response measures, and ultimately strengthen patient care in the face of the ongoing threat of IAV. Through a detailed comparison of diagnostic models, this review can provide a reliable reference for rapid, accurate and efficient detection of IAV, and to contribute to the diagnosis, treatment, prevention, and control of IAV.
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Affiliation(s)
- Bin Peng
- Guangzhou Huashang Vocational College, Guangzhou, 510000, China
| | - Yaqi Wang
- Guangzhou Institute for Food Inspection, Guangzhou, 510000, China
| | - Yueliang Xie
- Guangdong Agriculture Industry Business Polytechnic College, Guangzhou, 510000, China
| | - Xiangyan Dong
- State Key Laboratory of Chemical Oncogenomics, Institute of Biomedical and Health Engineering, Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China.
| | - Wen Liu
- Guangdong Agriculture Industry Business Polytechnic College, Guangzhou, 510000, China
| | - Dan Li
- College of Pharmacy, Jinzhou Medical University, Jinzhou, 121000, China
| | - Hui Chen
- State Key Laboratory of Chemical Oncogenomics, Institute of Biomedical and Health Engineering, Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China.
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16
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Guzman Ruiz L, Zollner AM, Hoxie I, Arcalis E, Krammer F, Klausberger M, Jungbauer A, Grabherr R. Increased efficacy of influenza virus vaccine candidate through display of recombinant neuraminidase on virus like particles. Front Immunol 2024; 15:1425842. [PMID: 38915410 PMCID: PMC11194364 DOI: 10.3389/fimmu.2024.1425842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Accepted: 05/31/2024] [Indexed: 06/26/2024] Open
Abstract
Vaccination against influenza virus can reduce the risk of influenza by 40% to 60%, they rely on the production of neutralizing antibodies specific to influenza hemagglutinin (HA) ignoring the neuraminidase (NA) as an important surface target. Vaccination with standardized NA concentration may offer broader and longer-lasting protection against influenza infection. In this regard, we aimed to compare the potency of a NA displayed on the surface of a VLP with a soluble NA. The baculovirus expression system (BEVS) and the novel virus-free Tnms42 insect cell line were used to express N2 NA on gag-based VLPs. To produce VLP immunogens with high levels of purity and concentration, a two-step chromatography purification process combined with ultracentrifugation was used. In a prime/boost vaccination scheme, mice vaccinated with 1 µg of the N2-VLPs were protected from mortality, while mice receiving the same dose of unadjuvanted NA in soluble form succumbed to the lethal infection. Moreover, NA inhibition assays and NA-ELISAs of pre-boost and pre-challenge sera confirm that the VLP preparation induced higher levels of NA-specific antibodies outperforming the soluble unadjuvanted NA.
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Affiliation(s)
- Leticia Guzman Ruiz
- Institute of Molecular Biotechnology (IMBT), Department of Biotechnology (DBT), University of Natural Resources and Life Sciences Vienna (BOKU), Vienna, Austria
- Institute of Bioprocess Science and Engineering (IBSE), Department of Biotechnology (DBT), University of Natural Resources and Life Sciences Vienna (BOKU), Vienna, Austria
| | - Alexander M. Zollner
- Institute of Bioprocess Science and Engineering (IBSE), Department of Biotechnology (DBT), University of Natural Resources and Life Sciences Vienna (BOKU), Vienna, Austria
| | - Irene Hoxie
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
- Center for Vaccine Research and Pandemic Preparedness (C-VaRPP), Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Elsa Arcalis
- Institute of Plant Biotechnology and Cell Biology (IPBT), Department of Applied Genetics and Cell Biology (DAGZ), University of Natural Resources and Life Sciences Vienna (BOKU), Vienna, Austria
| | - Florian Krammer
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
- Center for Vaccine Research and Pandemic Preparedness (C-VaRPP), Icahn School of Medicine at Mount Sinai, New York, NY, United States
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States
- Ignaz Semmelweis Institute, Interuniversity Institute for Infection Research, Medical University of Vienna, Vienna, Austria
| | - Miriam Klausberger
- Institute of Molecular Biotechnology (IMBT), Department of Biotechnology (DBT), University of Natural Resources and Life Sciences Vienna (BOKU), Vienna, Austria
| | - Alois Jungbauer
- Institute of Bioprocess Science and Engineering (IBSE), Department of Biotechnology (DBT), University of Natural Resources and Life Sciences Vienna (BOKU), Vienna, Austria
- Austrian Centre of Industrial Biotechnology (acib), Vienna, Austria
| | - Reingard Grabherr
- Institute of Molecular Biotechnology (IMBT), Department of Biotechnology (DBT), University of Natural Resources and Life Sciences Vienna (BOKU), Vienna, Austria
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Kim SH, Españo E, Padasas BT, Son JH, Oh J, Webby RJ, Lee YR, Park CS, Kim JK. Influenza Virus-Derived CD8 T Cell Epitopes: Implications for the Development of Universal Influenza Vaccines. Immune Netw 2024; 24:e19. [PMID: 38974213 PMCID: PMC11224667 DOI: 10.4110/in.2024.24.e19] [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: 03/29/2024] [Revised: 04/23/2024] [Accepted: 04/29/2024] [Indexed: 07/09/2024] Open
Abstract
The influenza virus poses a global health burden. Currently, an annual vaccine is used to reduce influenza virus-associated morbidity and mortality. Most influenza vaccines have been developed to elicit neutralizing Abs against influenza virus. These Abs primarily target immunodominant epitopes derived from hemagglutinin (HA) or neuraminidase (NA) of the influenza virus incorporated in vaccines. However, HA and NA are highly variable proteins that are prone to antigenic changes, which can reduce vaccine efficacy. Therefore, it is essential to develop universal vaccines that target immunodominant epitopes derived from conserved regions of the influenza virus, enabling cross-protection among different virus variants. The internal proteins of the influenza virus serve as ideal targets for universal vaccines. These internal proteins are presented by MHC class I molecules on Ag-presenting cells, such as dendritic cells, and recognized by CD8 T cells, which elicit CD8 T cell responses, reducing the likelihood of disease and influenza viral spread by inducing virus-infected cell apoptosis. In this review, we highlight the importance of CD8 T cell-mediated immunity against influenza viruses and that of viral epitopes for developing CD8 T cell-based influenza vaccines.
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Affiliation(s)
- Sang-Hyun Kim
- Department of Pharmacy, Korea University College of Pharmacy, Sejong 30019, Korea
- Department of Pharmaceutics, College of Pharmacy, Chungbuk National University, Cheongju 28644, Korea
| | - Erica Españo
- Department of Pharmacy, Korea University College of Pharmacy, Sejong 30019, Korea
| | | | - Ju-Ho Son
- Department of Pharmacy, Korea University College of Pharmacy, Sejong 30019, Korea
| | - Jihee Oh
- Department of Pharmacy, Korea University College of Pharmacy, Sejong 30019, Korea
| | - Richard J. Webby
- Department of Infectious Diseases, St. Jude Children’s Research Hospital, Memphis, TN 38195, USA
| | - Young-Ran Lee
- Bio-Convergence R&D Division, Korea Institute of Ceramic Engineering and Technology, Cheongju 28160, Korea
| | - Chan-Su Park
- Department of Pharmaceutics, College of Pharmacy, Chungbuk National University, Cheongju 28644, Korea
| | - Jeong-Ki Kim
- Department of Pharmacy, Korea University College of Pharmacy, Sejong 30019, Korea
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Zhang T, Han Y, Huang W, Wei H, Zhao Y, Shu L, Guo Y, Ye B, Zhou J, Liu J. Neutralizing antibody responses against contemporary and future influenza A(H3N2) viruses in paradoxical clades elicited by repeated and single vaccinations. J Med Virol 2024; 96:e29743. [PMID: 38884419 DOI: 10.1002/jmv.29743] [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: 03/06/2024] [Revised: 05/16/2024] [Accepted: 06/05/2024] [Indexed: 06/18/2024]
Abstract
As one of the most effective measures to prevent seasonal influenza viruses, annual influenza vaccination is globally recommended. Nevertheless, evidence regarding the impact of repeated vaccination to contemporary and future influenza has been inconclusive. A total of 100 subjects singly or repeatedly immunized with influenza vaccines including 3C.2a1 or 3C.3a1 A(H3N2) during 2018-2019 and 2019-2020 influenza season were recruited. We investigated neutralization antibody by microneutralization assay using four antigenically distinct A(H3N2) viruses circulating from 2018 to 2023, and tracked the dynamics of B cell receptor (BCR) repertoire for consecutive vaccinations. We found that vaccination elicited cross-reactive antibody responses against future emerging strains. Broader neutralizing antibodies to A(H3N2) viruses and more diverse BCR repertoires were observed in the repeated vaccination. Meanwhile, a higher frequency of BCR sequences shared among the repeated-vaccinated individuals with consistently boosting antibody response was found than those with a reduced antibody response. Our findings suggest that repeated seasonal vaccination could broaden the breadth of antibody responses, which may improve vaccine protection against future emerging viruses.
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MESH Headings
- Humans
- Influenza A Virus, H3N2 Subtype/immunology
- Influenza Vaccines/immunology
- Influenza Vaccines/administration & dosage
- Antibodies, Neutralizing/blood
- Antibodies, Neutralizing/immunology
- Antibodies, Viral/blood
- Antibodies, Viral/immunology
- Influenza, Human/prevention & control
- Influenza, Human/immunology
- Influenza, Human/virology
- Adult
- Cross Reactions/immunology
- Male
- Female
- Vaccination
- Middle Aged
- Young Adult
- Neutralization Tests
- Receptors, Antigen, B-Cell/immunology
- Receptors, Antigen, B-Cell/genetics
- Adolescent
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Affiliation(s)
- Ting Zhang
- Collaborative Innovation Centre of Regenerative Medicine and Medical Bioresource Development and Application Co-constructed by the Province and Ministry, Guangxi Medical University, Nanning, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Research Unit of Adaptive Evolution and Control of Emerging Viruses (2018RU009), Chinese Academy of Medical Sciences, Beijing, China
| | - Yang Han
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Research Unit of Adaptive Evolution and Control of Emerging Viruses (2018RU009), Chinese Academy of Medical Sciences, Beijing, China
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Weijuan Huang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Hejiang Wei
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yingze Zhao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Research Unit of Adaptive Evolution and Control of Emerging Viruses (2018RU009), Chinese Academy of Medical Sciences, Beijing, China
| | - Liumei Shu
- Department of Health Care, Beijing Daxing District Hospital, Beijing, China
| | - Yaxin Guo
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Research Unit of Adaptive Evolution and Control of Emerging Viruses (2018RU009), Chinese Academy of Medical Sciences, Beijing, China
| | - Beiwei Ye
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Research Unit of Adaptive Evolution and Control of Emerging Viruses (2018RU009), Chinese Academy of Medical Sciences, Beijing, China
| | - Jianfang Zhou
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jun Liu
- Collaborative Innovation Centre of Regenerative Medicine and Medical Bioresource Development and Application Co-constructed by the Province and Ministry, Guangxi Medical University, Nanning, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Research Unit of Adaptive Evolution and Control of Emerging Viruses (2018RU009), Chinese Academy of Medical Sciences, Beijing, China
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19
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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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20
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Bartolini L, Ricci S, Azzari C, Moriondo M, Nieddu F, L'Erario M, Ricci Z, Simonini G, Mortilla M, Indolfi G, Montagnani C, Chiappini E, Galli L, Guerrini R. Severe A(H1N1)pdm09 influenza acute encephalopathy outbreak in children in Tuscany, Italy, December 2023 to January 2024. Euro Surveill 2024; 29:2400199. [PMID: 38666399 PMCID: PMC11063669 DOI: 10.2807/1560-7917.es.2024.29.17.2400199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Accepted: 04/25/2024] [Indexed: 04/30/2024] Open
Abstract
A severe outbreak of influenza A(H1N1pdm09) infection in seven children (median age: 52 months) occurred between December 2023 and January 2024 in Tuscany, Italy. Clinical presentation ranged from milder encephalopathy to acute necrotizing encephalopathy (ANE) with coma and multiorgan failure; one child died. This report raises awareness for clinicians to identify and treat early acute encephalopathy caused by H1N1 influenza and serves as a reminder of severe presentations of influenza in young children and the importance of vaccination.
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Affiliation(s)
- Luca Bartolini
- Neuroscience Department, Meyer Children's Hospital IRCCS, Florence, Italy
- Department of Neuroscience, Psychology, Pharmacology and Child Health (NEUROFARBA), University of Florence, Florence, Italy
| | - Silvia Ricci
- Pediatric Immunology Unit, Meyer Children's Hospital IRCCS, Florence, Italy
- Department of Health Sciences, University of Florence, Florence, Italy
| | - Chiara Azzari
- Pediatric Immunology Unit, Meyer Children's Hospital IRCCS, Florence, Italy
- Department of Health Sciences, University of Florence, Florence, Italy
| | - Maria Moriondo
- Pediatric Immunology Unit, Meyer Children's Hospital IRCCS, Florence, Italy
- Department of Health Sciences, University of Florence, Florence, Italy
| | - Francesco Nieddu
- Pediatric Immunology Unit, Meyer Children's Hospital IRCCS, Florence, Italy
- Department of Health Sciences, University of Florence, Florence, Italy
| | - Manuela L'Erario
- Pediatric Intensive Care Unit, Meyer Children's Hospital IRCCS, Florence, Italy
| | - Zaccaria Ricci
- Department of Health Sciences, University of Florence, Florence, Italy
- Pediatric Intensive Care Unit, Meyer Children's Hospital IRCCS, Florence, Italy
| | - Gabriele Simonini
- Department of Neuroscience, Psychology, Pharmacology and Child Health (NEUROFARBA), University of Florence, Florence, Italy
- Rheumatology UNIT, ERN ReCONNET Center, Meyer Children's Hospital IRCCS, Florence, Italy
| | - Marzia Mortilla
- Emergency Radiology Unit, Meyer Children's Hospital IRCCS, Florence, Italy
| | - Giuseppe Indolfi
- Department of Neuroscience, Psychology, Pharmacology and Child Health (NEUROFARBA), University of Florence, Florence, Italy
- Pediatrics and Liver Unit, Meyer Children's Hospital IRCCS, Florence, Italy
| | - Carlotta Montagnani
- Pediatric Infectious Diseases Unit, Meyer Children's Hospital IRCCS, Florence, Italy
| | - Elena Chiappini
- Department of Health Sciences, University of Florence, Florence, Italy
- Pediatric Infectious Diseases Unit, Meyer Children's Hospital IRCCS, Florence, Italy
| | - Luisa Galli
- Department of Health Sciences, University of Florence, Florence, Italy
- Pediatric Infectious Diseases Unit, Meyer Children's Hospital IRCCS, Florence, Italy
| | - Renzo Guerrini
- Neuroscience Department, Meyer Children's Hospital IRCCS, Florence, Italy
- Department of Neuroscience, Psychology, Pharmacology and Child Health (NEUROFARBA), University of Florence, Florence, Italy
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21
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Zhang L, Duan W, Ma C, Zhang J, Sun Y, Ma J, Wang Y, Zhang D, Wang Q, Liu J, Liu M. An Intense Out-of-Season Rebound of Influenza Activity After the Relaxation of Coronavirus Disease 2019 Restrictions in Beijing, China. Open Forum Infect Dis 2024; 11:ofae163. [PMID: 38585185 PMCID: PMC10995958 DOI: 10.1093/ofid/ofae163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 03/19/2024] [Indexed: 04/09/2024] Open
Abstract
Background The aim of this study was to investigate the changes of epidemic characteristics of influenza activity pre- and post-coronavirus disease 2019 (COVID-19) in Beijing, China. Methods Epidemiologic data were collected from the influenza surveillance system in Beijing. We compared epidemic intensity, epidemic onset and duration, and influenza transmissibility during the 2022-2023 season with pre-COVID-19 seasons from 2014 to 2020. Results The overall incidence rate of influenza in the 2022-2023 season was significantly higher than that of the pre-COVID-19 period, with the record-high level of epidemic intensity in Beijing. The onset and duration of the influenza epidemic period in 2022-2023 season was notably later and shorter than that of the 2014-2020 seasons. Maximum daily instantaneous reproduction number (Rt) of the 2022-2023 season (Rt = 2.31) was much higher than that of the pre-COVID-19 period (Rt = 1.49). The incidence of influenza A(H1N1) and A(H3N2) were the highest among children aged 0-4 years and 5-14 years, respectively, in the 2022-2023 season. Conclusions A late, intense, and short-term peak influenza activity was observed in the 2022-2023 season in Beijing. Children <15 years old were impacted the most by the interruption of influenza circulation during the COVID-19 pandemic. Maintaining continuous surveillance and developing targeted public health strategies of influenza is necessary.
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Affiliation(s)
- Li Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Wei Duan
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Chunna Ma
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Jiaojiao Zhang
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Ying Sun
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Jiaxin Ma
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Yingying Wang
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Daitao Zhang
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Quanyi Wang
- Center Office, Beijing Center for Disease Prevention and Control, Beijing, China
- Beijing Research Center for Respiratory Infectious Diseases, Beijing, China
| | - Jue Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Min Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
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22
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Guo J, Chen X, Guo Y, Liu M, Li P, Tao Y, Liu Z, Yang Z, Zhan S, Sun F. Real-world effectiveness of seasonal influenza vaccination and age as effect modifier: A systematic review, meta-analysis and meta-regression of test-negative design studies. Vaccine 2024; 42:1883-1891. [PMID: 38423813 DOI: 10.1016/j.vaccine.2024.02.059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 02/05/2024] [Accepted: 02/20/2024] [Indexed: 03/02/2024]
Abstract
BACKGROUND Under the global risk of epidemic rebound of influenza after COVID-19 outbreak, the study aimed to provide a comprehensive evaluation of the seasonal influenza vaccine effectiveness (IVE) and to explore the potential effect modifiers. METHODS We searched for test-negative design studies with IVE estimates published between January 1, 2017 and December 31, 2022. We estimated pooled IVE using random-effects meta-analysis, and conducted meta-regression with study site, age, sex and comorbidity as explanatory variables. RESULTS We identified 2429 publications and included 191 in the meta-analysis. The pooled IVE was 41.4 % (95 % CI: 39.2-43.5 %) against any influenza. For specific strains, the IVE was 55.4 % (95 % CI: 52.7-58.1 %) against A/H1N1, 26.8 % (95 % CI: 23.5-29.9 %) against A/H3N2, 47.2 % (95 % CI: 38.1-54.9 %) against B/Yamagata, and 40.6 % (95 % CI: 23.7-53.7 %) against B/Victoria, and the effectiveness against A/H3N2 was significantly lower than A/H1N1 (p < 0.0001) and B/Yamagata (p < 0.0001). The pooled IVE was 39.2 % (95 % CI: 36.5-41.9 %) in preventing influenza-associated outpatient visit and 43.7 % (95 % CI: 39.7-47.4 %) in preventing influenza-related hospitalization. The IVE against any influenza was 48.6 % (95 % CI: 44.7-52.2 %) for children aged < 18 years, 36.7 % (95 % CI: 31.9-41.1 %) for adults aged 18-64 years, and 30.6 % (95 % CI: 26.2-34.8 %) for elderly aged ≥65 years. Meta-regression revealed that the IVE was associated with the average age of study participants, in which both young adults [relative odds ratio (ROR) = 1.225, 95 % confidence interval (CI): 1.099-1.365, p = 0.0002] and elderly (ROR = 1.245, 95 % CI: 1.083-1.431, p = 0.002) manifested a significantly decreased effectiveness compared with children. CONCLUSIONS Influenza vaccines provided moderate protection against laboratory-confirmed influenza and related outpatient visit and hospitalization. However, the effectiveness may vary substantially by virus type and age group, suggesting the necessity to tailor vaccination strategies especially for older individuals and against the A/H3N2 strain, and to promote annual immunization and annual analysis of vaccine effectiveness.
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Affiliation(s)
- Jinxin Guo
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Xin Chen
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Yu Guo
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Mengze Liu
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Pei Li
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Yiming Tao
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Zhike Liu
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Zhirong Yang
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Siyan Zhan
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China; Center for Intelligent Public Health, Institute for Artificial Intelligence, Peking University, Beijing, China.
| | - Feng Sun
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
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23
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Bean R, Giurgea LT, Han A, Czajkowski L, Cervantes-Medina A, Gouzoulis M, Mateja A, Hunsberger S, Reed S, Athota R, Baus HA, Kash JC, Park J, Taubenberger JK, Memoli MJ. Mucosal correlates of protection after influenza viral challenge of vaccinated and unvaccinated healthy volunteers. mBio 2024; 15:e0237223. [PMID: 38193710 PMCID: PMC10865821 DOI: 10.1128/mbio.02372-23] [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: 09/22/2023] [Accepted: 12/04/2023] [Indexed: 01/10/2024] Open
Abstract
The induction of systemic antibody titers against hemagglutinin has long been the main focus of influenza vaccination strategies, but mucosal immunity has also been shown to play a key role in the protection against respiratory viruses. By vaccinating and challenging healthy volunteers, we demonstrated that inactivated influenza vaccine (IIV) modestly reduced the rate of influenza while predominantly boosting serum antibody titers against hemagglutinin (HA) and HA stalk, a consequence of the low neuraminidase (NA) content of IIV and the intramuscular route of administration. The viral challenge induced nasal and serum responses against both HA and NA. Correlations between mucosal IgA and serum IgG against specific antigens were low, whether before or after challenge, suggesting a compartmentalization of immune responses. Even so, volunteers who developed viral shedding for multiple days had lower baseline titers across both systemic and mucosal compartments as compared to those with no shedding or a single day of shedding. Regression analysis showed that pre-challenge HA inhibition titers were the most consistent correlate of protection across clinical outcomes combining shedding and symptoms, with NA inhibition titers and HA IgG levels only predicting the duration of shedding. Despite the inclusion of data from multiple binding and functional antibody assays against HA and NA performed on both serum and nasal samples, multivariate models were unable to account for the variability in outcomes, emphasizing our imperfect understanding of immune correlates in influenza and the importance of refining models with assessments of innate and cellular immune responses.IMPORTANCEThe devastating potential of influenza has been well known for over 100 years. Despite the development of vaccines since the middle of the 20th century, influenza continues to be responsible for substantial global morbidity and mortality. To develop next-generation vaccines with enhanced effectiveness, we must synthesize our understanding of the complex immune mechanisms culminating in protection. Our study outlines the differences in immune responses to influenza vaccine and influenza infection, identifying potential gaps in vaccine-induced immunity, particularly at the level of the nasal mucosa. Furthermore, this research underscores the need to refine our imperfect models while recognizing potential pitfalls in past and future attempts to identify and measure correlates of protection.
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Affiliation(s)
- Rachel Bean
- LID Clinical Studies Unit, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Luca T. Giurgea
- LID Clinical Studies Unit, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Alison Han
- LID Clinical Studies Unit, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Lindsay Czajkowski
- LID Clinical Studies Unit, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Adriana Cervantes-Medina
- LID Clinical Studies Unit, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Monica Gouzoulis
- LID Clinical Studies Unit, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Allyson Mateja
- Clinical Monitoring Research Program Directorate, Frederick National Laboratory for Cancer Research, Frederick, Maryland, USA
| | - Sally Hunsberger
- Biostatistics Research Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Susan Reed
- LID Clinical Studies Unit, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Rani Athota
- LID Clinical Studies Unit, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Holly Ann Baus
- LID Clinical Studies Unit, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - John C. Kash
- Viral Pathogenesis and Evolution Section, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Jaekeun Park
- Department of Veterinary Medicine, VA-MD College of Veterinary Medicine, University of Maryland, College Park, Maryland, USA
| | - Jeffery K. Taubenberger
- Viral Pathogenesis and Evolution Section, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Matthew J. Memoli
- LID Clinical Studies Unit, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
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24
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Chatterjee A, Ambrose K, Canaday DH, Delair S, Ezike N, Huber VC, Jhaveri R, Nyquist AC, Sporer A, Varman M, Vivekanandan R, Wojcik R, Jandhyala R. The association between influenza vaccine effectiveness and egg-based manufacturing technology: literature review and US expert consensus. Curr Med Res Opin 2024; 40:335-343. [PMID: 38054898 DOI: 10.1080/03007995.2023.2284386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 11/13/2023] [Indexed: 12/07/2023]
Abstract
BACKGROUND Influenza is associated with significant disease burden in the US and is currently best controlled by vaccination programs. Influenza vaccine effectiveness (VE) is low and may be reduced by several factors, including egg adaptations. Although non-egg-based influenza vaccines reportedly have greater VE in egg-adapted seasons, evidence for egg adaptations' reduction of VE is indirect and dissociated, apart from two previous European consensuses. METHODS This study replicated the methodology used in a 2020 literature review and European consensus, providing an updated review and consensus opinion of 10 US experts on the evidence for a mechanistic basis for reduction of VE due to egg-based manufacturing methods. A mechanistic basis was assumed if sufficient evidence was found for underlying principles proposed to give rise to such an effect. Evidence for each principle was brought forward from the 2020 review and identified here by structured literature review and expert panel. Experts rated the strength of support for each principle and a mechanistic basis for reduction of VE due to egg-based influenza vaccine manufacture in a consensus method (consensus for strong/very strong evidence = ≥ 3.5 on 5-point Likert scale). RESULTS Experts assessed 251 references (from previous study: 185; this study: 66). The majority of references for all underlying principles were rated as strong or very strong supporting evidence (52-86%). Global surveillance, WHO candidate vaccine virus selection, and manufacturing stages involving eggs were identified as most likely to impact influenza VE. CONCLUSION After review of extensive evidence for reduction of VE due to egg-based influenza vaccine manufacture, influenza experts in the US joined those in Europe in unanimous agreement for a mechanistic basis for the effect. Vaccine providers and administrators should consider use of non-egg-based influenza vaccine manufacture to reduce the risk of egg adaptations and likely impact on VE.
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Affiliation(s)
- Archana Chatterjee
- Rosalind Franklin University of Medicine and Science, North Chicago, IL, USA
| | | | | | | | | | | | - Ravi Jhaveri
- Feinberg School of Medicine, Northwestern, IL, USA
| | | | | | | | | | | | - Ravi Jandhyala
- Medialis Ltd, Milton Keynes, UK
- King's College London, London, UK
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25
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Puente-Massaguer E, Vasilev K, Beyer A, Loganathan M, Francis B, Scherm MJ, Arunkumar GA, González-Domínguez I, Zhu X, Wilson IA, Coughlan L, Sun W, Palese P, Krammer F. Chimeric hemagglutinin split vaccines elicit broadly cross-reactive antibodies and protection against group 2 influenza viruses in mice. SCIENCE ADVANCES 2023; 9:eadi4753. [PMID: 37703367 PMCID: PMC10499326 DOI: 10.1126/sciadv.adi4753] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 08/11/2023] [Indexed: 09/15/2023]
Abstract
Seasonal influenza virus vaccines are effective when they are well matched to circulating strains. Because of antigenic drift/change in the immunodominant hemagglutinin (HA) head domain, annual vaccine reformulations are necessary to maintain a match with circulating strains. In addition, seasonal vaccines provide little to no protection against newly emerging pandemic strains. Sequential vaccination with chimeric HA (cHA) constructs has been proven to direct the immune response toward the immunosubdominant but more conserved HA stalk domain. In this study, we show that immunization with group 2 cHA split vaccines in combination with the CpG 1018 adjuvant elicits broadly cross-reactive antibodies against all group 2 HAs, as well as systemic and local antigen-specific T cell responses. Antibodies elicited after sequential vaccination are directed to conserved regions of the HA such as the stalk and the trimer interface and also to the N2 neuraminidase (NA). Immunized mice were fully protected from challenge with a broad panel of influenza A viruses.
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Affiliation(s)
- Eduard Puente-Massaguer
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Kirill Vasilev
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Annika Beyer
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Madhumathi Loganathan
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Benjamin Francis
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Michael J. Scherm
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | | | | | - Xueyong Zhu
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Ian A. Wilson
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
- Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Lynda Coughlan
- Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD 21201, USA
- Center for Vaccine Development and Global Health (CVD), University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Weina Sun
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Peter Palese
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Florian Krammer
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Center for Vaccine Research and Pandemic Preparedness (C-VaRPP), Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
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26
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Martínez-Baz I, Fernández-Huerta M, Navascués A, Pozo F, Trobajo-Sanmartín C, Casado I, Echeverria A, Ezpeleta C, Castilla J. Influenza Vaccine Effectiveness in Preventing Laboratory-Confirmed Influenza Cases and Hospitalizations in Navarre, Spain, 2022-2023. Vaccines (Basel) 2023; 11:1478. [PMID: 37766154 PMCID: PMC10534462 DOI: 10.3390/vaccines11091478] [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: 08/10/2023] [Revised: 09/01/2023] [Accepted: 09/09/2023] [Indexed: 09/29/2023] Open
Abstract
We estimated influenza vaccine effectiveness (IVE) in preventing outpatient and hospitalized cases in the 2022-2023 season. A test-negative design included a representative sample of outpatients and all hospitalized patients with influenza-like illness (ILI) from October 2022 to May 2023 in Navarre, Spain. ILI patients were tested by PCR for influenza virus. Influenza vaccination status was compared between confirmed influenza cases and test-negative controls. Among 3321 ILI patients tested, IVE to prevent influenza cases was 34% (95% confidence interval (CI): 16 to 48) overall, 85% (95%CI: 63 to 94) against influenza B, and 28% (95%CI: 3 to 46) against A(H3N2). Among 558 outpatients, 222 (40%) were confirmed for influenza: 55% A(H3N2), 11% A(H1N1), and 31% B. Overall, IVE to prevent outpatient cases was 48% (95%CI: 8 to 70), 88% (95%CI: 3 to 98) against influenza B, and 50% (95%CI: -4 to 76) against A(H3N2). Of 2763 hospitalized patients, 349 (13%) were positive for influenza: 64% A(H3N2), 17% A(H1N1), and 8% B. IVE to prevent hospitalization was 24% (95%CI: -1 to 42) overall, 82% (95%CI: 49 to 93) against influenza B, and 16% (95%CI: -17 to 40) against A(H3N2). No IVE was observed in preventing influenza A(H1N1). IVE was high to prevent influenza B, moderate against A(H3N2) and null against A(H1N1). A lower proportion of influenza B cases may explain the smaller IVE in hospitalized patients than in outpatients. The null IVE against A(H1N1) was consistent with the observed antigenic drift and supports the new composition of the 2023-2024 influenza vaccine.
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Affiliation(s)
- Iván Martínez-Baz
- Instituto de Salud Pública de Navarra, 31003 Pamplona, Spain; (I.M.-B.); (C.T.-S.); (I.C.); (A.E.)
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain;
- Navarre Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; (M.F.-H.); (C.E.)
| | - Miguel Fernández-Huerta
- Navarre Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; (M.F.-H.); (C.E.)
- Clinical Microbiology Department, Hospital Universitario de Navarra, 31008 Pamplona, Spain
| | - Ana Navascués
- Navarre Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; (M.F.-H.); (C.E.)
- Clinical Microbiology Department, Hospital Universitario de Navarra, 31008 Pamplona, Spain
| | - Francisco Pozo
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain;
- National Centre for Microbiology, Instituto de Salud Carlos III, 28222 Majadahonda, Spain
| | - Camino Trobajo-Sanmartín
- Instituto de Salud Pública de Navarra, 31003 Pamplona, Spain; (I.M.-B.); (C.T.-S.); (I.C.); (A.E.)
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain;
- Navarre Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; (M.F.-H.); (C.E.)
| | - Itziar Casado
- Instituto de Salud Pública de Navarra, 31003 Pamplona, Spain; (I.M.-B.); (C.T.-S.); (I.C.); (A.E.)
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain;
- Navarre Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; (M.F.-H.); (C.E.)
| | - Aitziber Echeverria
- Instituto de Salud Pública de Navarra, 31003 Pamplona, Spain; (I.M.-B.); (C.T.-S.); (I.C.); (A.E.)
- Navarre Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; (M.F.-H.); (C.E.)
| | - Carmen Ezpeleta
- Navarre Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; (M.F.-H.); (C.E.)
- Clinical Microbiology Department, Hospital Universitario de Navarra, 31008 Pamplona, Spain
| | - Jesús Castilla
- Instituto de Salud Pública de Navarra, 31003 Pamplona, Spain; (I.M.-B.); (C.T.-S.); (I.C.); (A.E.)
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain;
- Navarre Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; (M.F.-H.); (C.E.)
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27
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Martins JP, Santos M, Martins A, Felgueiras M, Santos R. Seasonal Influenza Vaccine Effectiveness in Persons Aged 15-64 Years: A Systematic Review and Meta-Analysis. Vaccines (Basel) 2023; 11:1322. [PMID: 37631889 PMCID: PMC10459161 DOI: 10.3390/vaccines11081322] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 07/25/2023] [Accepted: 07/25/2023] [Indexed: 08/27/2023] Open
Abstract
Influenza is a respiratory disease caused by the influenza virus, which is highly transmissible in humans. This paper presents a systematic review and meta-analysis of randomized controlled trials (RCTs) and test-negative designs (TNDs) to assess the vaccine effectiveness (VE) of seasonal influenza vaccines (SIVs) in humans aged 15 to 64 years. An electronic search to identify all relevant studies was performed. The outcome measure of interest was VE on laboratory-confirmed influenza (any strain). Quality assessment was performed using the Cochrane risk-of-bias tool for RCTs and the ROBINS-I tool for TNDs. The search identified a total of 2993 records, but only 123 studies from 73 papers were included in the meta-analysis. Of these studies, 9 were RCTs and 116 were TNDs. The pooled VE was 48% (95% CI: 42-54) for RCTs, 55.4% (95% CI: 43.2-64.9) when there was a match between the vaccine and most prevalent circulating strains and 39.3% (95% CI: 23.5-51.9) otherwise. The TNDs' adjusted VE was equal to 39.9% (95% CI: 31-48), 45.1 (95% CI: 38.7-50.8) when there was a match and 35.1 (95% CI: 29.0-40.7) otherwise. The match between strains included in the vaccine and strains in circulation is the most important factor in the VE. It increases by more than 25% when there is a match with the most prevalent circulating strains. The laboratorial method for confirmation of influenza is a possible source of bias when estimating VE.
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Affiliation(s)
- João Paulo Martins
- Escola Superior de Saúde, Instituto Politécnico do Porto, Rua Dr. António Bernardino de Almeida, 4200-072 Porto, Portugal;
- CEAUL—Centro de Estatística e Aplicações, Faculdade de Ciências, Campo Grande, Universidade de Lisboa, 1749-016 Lisboa, Portugal; (M.F.); (R.S.)
| | - Marlene Santos
- Escola Superior de Saúde, Instituto Politécnico do Porto, Rua Dr. António Bernardino de Almeida, 4200-072 Porto, Portugal;
- Centro de Investigação em Saúde e Ambiente, Instituto Politécnico do Porto, Rua Dr. António Bernardino de Almeida, 4200-072 Porto, Portugal;
| | - André Martins
- Centro de Investigação em Saúde e Ambiente, Instituto Politécnico do Porto, Rua Dr. António Bernardino de Almeida, 4200-072 Porto, Portugal;
| | - Miguel Felgueiras
- CEAUL—Centro de Estatística e Aplicações, Faculdade de Ciências, Campo Grande, Universidade de Lisboa, 1749-016 Lisboa, Portugal; (M.F.); (R.S.)
- Escola Superior de Tecnologia e Gestão, Instituto Politécnico de Leiria, Campus 2, Morro do Lena—Alto do Vieiro, Apartado 4163, 2411-901 Leiria, Portugal
| | - Rui Santos
- CEAUL—Centro de Estatística e Aplicações, Faculdade de Ciências, Campo Grande, Universidade de Lisboa, 1749-016 Lisboa, Portugal; (M.F.); (R.S.)
- Escola Superior de Tecnologia e Gestão, Instituto Politécnico de Leiria, Campus 2, Morro do Lena—Alto do Vieiro, Apartado 4163, 2411-901 Leiria, Portugal
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28
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Daddi L, Dorsett Y, Geng T, Bokoliya S, Yuan H, Wang P, Xu W, Zhou Y. Baseline Gut Microbiome Signatures Correlate with Immunogenicity of SARS-CoV-2 mRNA Vaccines. Int J Mol Sci 2023; 24:11703. [PMID: 37511464 PMCID: PMC10380288 DOI: 10.3390/ijms241411703] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 07/01/2023] [Accepted: 07/12/2023] [Indexed: 07/30/2023] Open
Abstract
The powerful immune responses elicited by the mRNA vaccines targeting the SARS-CoV-2 Spike protein contribute to their high efficacy. Yet, their efficacy can vary greatly between individuals. For vaccines not based on mRNA, cumulative evidence suggests that differences in the composition of the gut microbiome, which impact vaccine immunogenicity, are some of the factors that contribute to variations in efficacy. However, it is unclear if the microbiome impacts the novel mode of immunogenicity of the SARS-CoV-2 mRNA vaccines. We conducted a prospective longitudinal cohort study of individuals receiving SARS-CoV-2 mRNA vaccines where we measured levels of anti-Spike IgG and characterized microbiome composition, at pre-vaccination (baseline), and one week following the first and second immunizations. While we found that microbial diversity at all timepoints correlated with final IgG levels, only at baseline did microbial composition and predicted function correlate with vaccine immunogenicity. Specifically, the phylum Desulfobacterota and genus Bilophila, producers of immunostimulatory LPS, positively correlated with IgG, while Bacteroides was negatively correlated. KEGG predicted pathways relating to SCFA metabolism and sulfur metabolism, as well as structural components such as flagellin and capsular polysaccharides, also positively correlated with IgG levels. Consistent with these findings, depleting the microbiome with antibiotics reduced the immunogenicity of the BNT162b2 vaccine in mice. These findings suggest that gut microbiome composition impacts the immunogenicity of the SARS-CoV-2 mRNA vaccines.
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Affiliation(s)
- Lauren Daddi
- Department of Medicine, University of Connecticut Health Center, Farmington, CT 06030, USA
| | - Yair Dorsett
- Department of Medicine, University of Connecticut Health Center, Farmington, CT 06030, USA
| | - Tingting Geng
- Department of Immunology, University of Connecticut Health Center, Farmington, CT 06030, USA
| | - Suresh Bokoliya
- Department of Medicine, University of Connecticut Health Center, Farmington, CT 06030, USA
| | - Hanshu Yuan
- Department of Medicine, University of Connecticut Health Center, Farmington, CT 06030, USA
| | - Penghua Wang
- Department of Immunology, University of Connecticut Health Center, Farmington, CT 06030, USA
| | - Wanli Xu
- School of Nursing, University of Connecticut, Storrs, CT 06269, USA
| | - Yanjiao Zhou
- Department of Medicine, University of Connecticut Health Center, Farmington, CT 06030, USA
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29
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Nguyen VH, Ashraf M, Mould-Quevedo JF. Cost-Effectiveness of the Use of Adjuvanted Quadrivalent Seasonal Influenza Vaccine in Older Adults in Ireland. Vaccines (Basel) 2023; 11:vaccines11050933. [PMID: 37243037 DOI: 10.3390/vaccines11050933] [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: 03/30/2023] [Revised: 04/26/2023] [Accepted: 04/30/2023] [Indexed: 05/28/2023] Open
Abstract
BACKGROUND Enhanced vaccines (e.g., containing adjuvants) have shown increased immunogenicity and effectiveness in older adults, who often respond sub-optimally to conventional influenza vaccines. In this study, we evaluated the cost-effectiveness of an inactivated, seasonal, MF59-adjuvanted quadrivalent influenza vaccine (aQIV) for use in adults ≥ 65 years in Ireland. METHODS A published dynamic influenza model incorporating social contact, population immunity, and epidemiological data was used to assess the cost-effectiveness of aQIV in adults ≥ 65 years of age compared with a non-adjuvanted QIV. Sensitivity analysis was performed for influenza incidence, relative vaccine effectiveness, excess mortality, and the impact on bed occupancy from co-circulating influenza and COVID-19. RESULTS The use of aQIV resulted in discounted incremental cost-effectiveness ratios (ICERs) of EUR 2420/quality-adjusted life years (QALYs) and EUR 12,970/QALY from societal and payer perspectives, respectively, both of which are below the cost-effectiveness threshold of EUR 45,000/QALY. Sensitivity analysis showed that aQIV was effective in most scenarios, except when relative vaccine effectiveness compared to QIV was below 3%, and resulted in a modest reduction in excess bed occupancy. CONCLUSION The use of aQIV for adults ≥ 65 years old in Ireland was shown to be highly cost-effective from both payer and societal perspectives.
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30
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Chen C, Jiang D, Yan D, Pi L, Zhang X, Du Y, Liu X, Yang M, Zhou Y, Ding C, Lan L, Yang S. The global region-specific epidemiologic characteristics of influenza: World Health Organization FluNet data from 1996 to 2021. Int J Infect Dis 2023; 129:118-124. [PMID: 36773717 DOI: 10.1016/j.ijid.2023.02.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 01/18/2023] [Accepted: 02/05/2023] [Indexed: 02/11/2023] Open
Abstract
OBJECTIVES This study aimed to investigate region-specific epidemiologic characteristics of influenza and influenza transmission zones (ITZs). METHODS Weekly influenza surveillance data of 156 countries from 1996 to 2021 were obtained using FluNet. Joinpoint regression was used to describe global influenza virus trends, and clustering analyses were used to classify the ITZs. RESULTS The global median average positive rate for total influenza virus was 16.19% (interquartile range: 11.62-25.70%). Overall, three major subtypes (influenza H1, H3, and B viruses) showed alternating epidemics. Notably, the proportion of influenza B viruses increased significantly from July 2020 to June 2021, reaching 62.66%. The primary peaks of influenza virus circulation in the north were earlier than those in the south. Global influenza virus circulation was significantly characterized by seven ITZs, including "Northern America" (primary peak: week 10), "Eastern & Southern-Asia" (primary peak: week 10), "Europe" (primary peak: week 11), "Asia-Europe" (primary peak: week 12), "Southern-America" (primary peak: week 30), "Oceania-Melanesia-Polynesia" (primary peak: week 39), and "Africa" (primary peak: week 46). CONCLUSION Global influenza virus circulation was significantly characterized by seven ITZs that could be applied to influenza surveillance and warning.
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Affiliation(s)
- Can Chen
- Department of Emergency Medicine, Second Affiliated Hospital, Department of Public Health, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University School of Medicine, Hangzhou, China
| | - Daixi Jiang
- Department of Emergency Medicine, Second Affiliated Hospital, Department of Public Health, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University School of Medicine, Hangzhou, China
| | - Danying Yan
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University School of Medicine, Hangzhou, China
| | - Lucheng Pi
- Shenzhen Bao'an Traditional Chinese Medicine Hospital Group, Shenzhen, China
| | - Xiaobao Zhang
- Department of Emergency Medicine, Second Affiliated Hospital, Department of Public Health, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University School of Medicine, Hangzhou, China
| | - Yuxia Du
- Department of Emergency Medicine, Second Affiliated Hospital, Department of Public Health, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaoxiao Liu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University School of Medicine, Hangzhou, China
| | - Mengya Yang
- Department of Emergency Medicine, Second Affiliated Hospital, Department of Public Health, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University School of Medicine, Hangzhou, China
| | - Yuqing Zhou
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University School of Medicine, Hangzhou, China
| | - Cheng Ding
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University School of Medicine, Hangzhou, China
| | - Lei Lan
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University School of Medicine, Hangzhou, China
| | - Shigui Yang
- Department of Emergency Medicine, Second Affiliated Hospital, Department of Public Health, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University School of Medicine, Hangzhou, China.
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31
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Gary EN, Tursi NJ, Warner BM, Cuismano G, Connors J, Parzych EM, Griffin BD, Bell MR, Ali AR, Frase D, Hojecki CE, Canziani GA, Chaiken I, Kannan T, Moffat E, Embury-Hyatt C, Wooton SK, Kossenkov A, Patel A, Kobasa D, Kutzler MA, Haddad EK, Weiner DB. Adenosine deaminase augments SARS-CoV-2 specific cellular and humoral responses in aged mouse models of immunization and challenge. Front Immunol 2023; 14:1138609. [PMID: 36999023 PMCID: PMC10043169 DOI: 10.3389/fimmu.2023.1138609] [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: 01/05/2023] [Accepted: 02/23/2023] [Indexed: 03/16/2023] Open
Abstract
Despite numerous clinically available vaccines and therapeutics, aged patients remain at increased risk for COVID-19 morbidity. Furthermore, various patient populations, including the aged can have suboptimal responses to SARS-CoV-2 vaccine antigens. Here, we characterized vaccine-induced responses to SARS-CoV-2 synthetic DNA vaccine antigens in aged mice. Aged mice exhibited altered cellular responses, including decreased IFNγ secretion and increased TNFα and IL-4 secretion suggestive of TH2-skewed responses. Aged mice exhibited decreased total binding and neutralizing antibodies in their serum but significantly increased TH2-type antigen-specific IgG1 antibody compared to their young counterparts. Strategies to enhance vaccine-induced immune responses are important, especially in aged patient populations. We observed that co-immunization with plasmid-encoded adenosine deaminase (pADA)enhanced immune responses in young animals. Ageing is associated with decreases in ADA function and expression. Here, we report that co-immunization with pADA enhanced IFNγ secretion while decreasing TNFα and IL-4 secretion. pADA expanded the breadth and affinity SARS-CoV-2 spike-specific antibodies while supporting TH1-type humoral responses in aged mice. scRNAseq analysis of aged lymph nodes revealed that pADA co-immunization supported a TH1 gene profile and decreased FoxP3 gene expression. Upon challenge, pADA co-immunization decreased viral loads in aged mice. These data support the use of mice as a model for age-associated decreased vaccine immunogenicity and infection-mediated morbidity and mortality in the context of SARS-CoV-2 vaccines and provide support for the use of adenosine deaminase as a molecular adjuvant in immune-challenged populations.
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Affiliation(s)
- Ebony N. Gary
- The Vaccine and Immunotherapy Center, The Wistar Institute, Philadelphia, PA, United States
| | - Nicholas J. Tursi
- The Vaccine and Immunotherapy Center, The Wistar Institute, Philadelphia, PA, United States
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Bryce M. Warner
- Special Pathogens Program, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, MB, Canada
| | - Gina Cuismano
- The Department of Medicine, Division of Infectious Diseases and HIV Medicine, Drexel University College of Medicine, Philadelphia, PA, United States
- The Department of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA, United States
| | - Jennifer Connors
- The Department of Medicine, Division of Infectious Diseases and HIV Medicine, Drexel University College of Medicine, Philadelphia, PA, United States
- The Department of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA, United States
| | - Elizabeth M. Parzych
- The Vaccine and Immunotherapy Center, The Wistar Institute, Philadelphia, PA, United States
| | - Bryan D. Griffin
- Special Pathogens Program, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, MB, Canada
| | - Matthew R. Bell
- The Department of Medicine, Division of Infectious Diseases and HIV Medicine, Drexel University College of Medicine, Philadelphia, PA, United States
- The Department of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA, United States
| | - Ali R. Ali
- The Vaccine and Immunotherapy Center, The Wistar Institute, Philadelphia, PA, United States
| | - Drew Frase
- The Vaccine and Immunotherapy Center, The Wistar Institute, Philadelphia, PA, United States
| | - Casey E. Hojecki
- The Vaccine and Immunotherapy Center, The Wistar Institute, Philadelphia, PA, United States
| | - Gabriela A. Canziani
- The Department of Biochemistry, Drexel University college of Medicine, Philadelphia, PA, United States
| | - Irwin Chaiken
- The Department of Biochemistry, Drexel University college of Medicine, Philadelphia, PA, United States
| | - Toshitha Kannan
- The Genomics Core, The Wistar Institute, Philadelphia, PA, United States
| | - Estella Moffat
- National Center for Foreign Animal Disease, Canadian Food Inspection Agency, Winnipeg, MB, Canada
| | - Carissa Embury-Hyatt
- National Center for Foreign Animal Disease, Canadian Food Inspection Agency, Winnipeg, MB, Canada
| | - Sarah K. Wooton
- Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
| | - Andrew Kossenkov
- The Vaccine and Immunotherapy Center, The Wistar Institute, Philadelphia, PA, United States
- The Genomics Core, The Wistar Institute, Philadelphia, PA, United States
| | - Ami Patel
- The Vaccine and Immunotherapy Center, The Wistar Institute, Philadelphia, PA, United States
| | - Darwyn Kobasa
- Special Pathogens Program, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, MB, Canada
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB, Canada
| | - Michele A. Kutzler
- The Department of Medicine, Division of Infectious Diseases and HIV Medicine, Drexel University College of Medicine, Philadelphia, PA, United States
- The Department of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA, United States
| | - Elias K. Haddad
- The Department of Medicine, Division of Infectious Diseases and HIV Medicine, Drexel University College of Medicine, Philadelphia, PA, United States
- The Department of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA, United States
| | - David B. Weiner
- The Vaccine and Immunotherapy Center, The Wistar Institute, Philadelphia, PA, United States
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32
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Social and demographic patterns of influenza vaccination coverage in Norway, influenza seasons 2014/15 to 2020/21. Vaccine 2023; 41:1239-1246. [PMID: 36639272 DOI: 10.1016/j.vaccine.2023.01.013] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 12/12/2022] [Accepted: 01/05/2023] [Indexed: 01/12/2023]
Abstract
AIMS To examine influenza vaccination coverage among risk groups (RG) and health care workers (HCW), and study social and demographic patterns of vaccination coverage over time. METHODS Vaccination coverage was estimated by self-report in a nationally representative telephone survey among 14919 individuals aged 18-79 years over seven influenza seasons from 2014/15 to 2020/21. We explored whether belonging to an influenza RG (being >=65 years of age and/or having >=1 medical risk factor), being a HCW or educational attainment was associated with vaccination status using logistic regression. RESULTS Vaccination coverage increased from 27 % to 66 % among individuals 65-79 years, from 13 % to 33 % among individuals 18-64 years with >=1 risk factor, and from 9 % to 51 % among HCWs during the study period. Being older, having a risk factor or being a HCW were significantly associated with higher coverage in all multivariable logistic regression analyses. Higher education was also consistently associated with higher coverage, but the difference did not reach significance in all influenza seasons. Educational attainment was not significantly associated with coverage while coverage was at its lowest (2014/15-2017/18), but as coverage increased, so did the differences. Individuals with intermediate or lower education were less likely to report vaccination than those with higher education in season 2018/19, OR = 0.61 (95 % CI 0.46-0.80) and OR = 0.58 (95 % CI 0.41-0.83), respectively, and in season 2019/20, OR = 0.69 (95 % CI 0.55-0.88) and OR = 0.71 (95 % CI 0.53-0.95), respectively. When the vaccine was funded in the COVID-19 pandemic winter of 2020/21, educational differences diminished again and were no longer significant. CONCLUSIONS We observed widening educational differences in influenza vaccination coverage as coverage increased from 2014/15 to 2019/20. When influenza vaccination was funded in 2020/21, differences in coverage by educational attainment diminished. These findings indicate that economic barriers influence influenza vaccination decisions among risk groups in Norway.
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Ratti M, Concina D, Rinaldi M, Salinelli E, Di Brisco AM, Ferrante D, Volpe A, Panella M. Vaccination Strategies against Seasonal Influenza in Long Term Care Setting: Lessons from a Mathematical Modelling Study. Vaccines (Basel) 2022; 11:vaccines11010032. [PMID: 36679877 PMCID: PMC9861048 DOI: 10.3390/vaccines11010032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 12/06/2022] [Accepted: 12/14/2022] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND seasonal influenza in nursing homes is a major public health concern, since in EU 43,000 long term care (LTC) facilities host an estimated 2.9 million elderly residents. Despite specific vaccination campaigns, many outbreaks in such institutions are occasionally reported. We explored the dynamics of seasonal influenza starting from real data collected from a nursing home located in Italy and a mathematical model. Our aim was to identify the best vaccination strategy to minimize cases (and subsequent complications) among the guests. MATERIALS AND METHODS after producing the contact matrices with surveys of both the health care workers (HCW) and the guests, we developed a mathematical model of the disease. The model consists of a classical SEIR part describing the spreading of the influenza in the general population and a stochastic agent based model that formalizes the dynamics of the disease inside the institution. After a model fit of a baseline scenario, we explored the impact of varying the HCW and guests parameters (vaccine uptake and vaccine efficacy) on the guest attack rates (AR) of the nursing home. RESULTS the aggregate AR of influenza like illness in the nursing home was 36.4% (ward1 = 56%, ward2 = 33.3%, ward3 = 31.7%, ward4 = 34.5%). The model fit to data returned a probability of infection of the causal contact of 0.3 and of the shift change contact of 0.2. We noticed no decreasing or increasing AR trend when varying the HCW vaccine uptake and efficacy parameters, whereas the increase in both guests vaccine efficacy and uptake parameter was accompanied by a slight decrease in AR of all the wards of the LTC facility. CONCLUSION from our findings we can conclude that a nursing home is still an environment at high risk of influenza transmission but the shift change room and the handover situation carry no higher relative risk. Therefore, additional preventive measures in this circumstance may be unnecessary. In a closed environment such as a LTC facility, the vaccination of guests, rather than HCWs, may still represent the cornerstone of an effective preventive strategy. Finally, we think that the extensive inclusion of real life data into mathematical models is promising and may represent a starting point for further applications of this methodology.
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Affiliation(s)
- Matteo Ratti
- Department of Translational Medicine (DiMeT), Università del Piemonte Orientale, 28100 Novara, Italy
- Correspondence:
| | - Diego Concina
- Department of Translational Medicine (DiMeT), Università del Piemonte Orientale, 28100 Novara, Italy
| | - Maurizio Rinaldi
- Department of Pharmaceutical Science (DSF), Università del Piemonte Orientale, 28100 Novara, Italy
| | - Ernesto Salinelli
- Department of Translational Medicine (DiMeT), Università del Piemonte Orientale, 28100 Novara, Italy
| | - Agnese Maria Di Brisco
- Department of Studies for Economics and Business (DiSEI), Università del Piemonte Orientale, 28100 Novara, Italy
| | - Daniela Ferrante
- Department of Translational Medicine (DiMeT), Università del Piemonte Orientale, 28100 Novara, Italy
| | - Alessandro Volpe
- Department of Translational Medicine (DiMeT), Università del Piemonte Orientale, 28100 Novara, Italy
| | - Massimiliano Panella
- Department of Translational Medicine (DiMeT), Università del Piemonte Orientale, 28100 Novara, Italy
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Phyu WW, Saito R, Kyaw Y, Lin N, Win SMK, Win NC, Ja LD, Htwe KTZ, Aung TZ, Tin HH, Pe EH, Chon I, Wagatsuma K, Watanabe H. Evolutionary Dynamics of Whole-Genome Influenza A/H3N2 Viruses Isolated in Myanmar from 2015 to 2019. Viruses 2022; 14:v14112414. [PMID: 36366512 PMCID: PMC9699102 DOI: 10.3390/v14112414] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 10/29/2022] [Accepted: 10/29/2022] [Indexed: 11/06/2022] Open
Abstract
This study aimed to analyze the genetic and evolutionary characteristics of the influenza A/H3N2 viruses circulating in Myanmar from 2015 to 2019. Whole genomes from 79 virus isolates were amplified using real-time polymerase chain reaction and successfully sequenced using the Illumina iSeq100 platforms. Eight individual phylogenetic trees were retrieved for each segment along with those of the World Health Organization (WHO)-recommended Southern Hemisphere vaccine strains for the respective years. Based on the WHO clades classification, the A/H3N2 strains in Myanmar from 2015 to 2019 collectively belonged to clade 3c.2. These strains were further defined based on hemagglutinin substitutions as follows: clade 3C.2a (n = 39), 3C.2a1 (n = 2), and 3C.2a1b (n = 38). Genetic analysis revealed that the Myanmar strains differed from the Southern Hemisphere vaccine strains each year, indicating that the vaccine strains did not match the circulating strains. The highest rates of nucleotide substitution were estimated for hemagglutinin (3.37 × 10-3 substitutions/site/year) and neuraminidase (2.89 × 10-3 substitutions/site/year). The lowest rate was for non-structural protein segments (4.19 × 10-5 substitutions/site/year). The substantial genetic diversity that was revealed improved phylogenetic classification. This information will be particularly relevant for improving vaccine strain selection.
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Affiliation(s)
- Wint Wint Phyu
- Division of International Health (Public Health), Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8510, Japan
- Correspondence: ; Tel.: +81-25-227-2129
| | - Reiko Saito
- Division of International Health (Public Health), Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8510, Japan
- Infectious Diseases Research Center of Niigata University in Myanmar (IDRC), Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8510, Japan
| | - Yadanar Kyaw
- Respiratory Medicine Department, ThingangyunSanpya General Hospital, Yangon 110-71, Myanmar
| | - Nay Lin
- Microbiology Section, (200) Bedded Pyinmana General Hospital, Naypyitaw 150-31, Myanmar
| | - Su Mon Kyaw Win
- Infectious Diseases Research Center of Niigata University in Myanmar (IDRC), Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8510, Japan
| | - Nay Chi Win
- Infectious Diseases Research Center of Niigata University in Myanmar (IDRC), Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8510, Japan
| | - Lasham Di Ja
- Infectious Diseases Research Center of Niigata University in Myanmar (IDRC), Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8510, Japan
| | - Khin Thu Zar Htwe
- Department of Microbiology, University of Medicine, Mandalay 050-21, Myanmar
| | - Thin Zar Aung
- Microbiology Section, Mandalay General Hospital, Mandalay 050-31, Myanmar
| | - Htay Htay Tin
- National Health Laboratory, Department of Medical Services, Dagon Township, Yangon 111-91, Myanmar
| | - Eh Htoo Pe
- National Health Laboratory, Department of Medical Services, Dagon Township, Yangon 111-91, Myanmar
| | - Irina Chon
- Division of International Health (Public Health), Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8510, Japan
- Infectious Diseases Research Center of Niigata University in Myanmar (IDRC), Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8510, Japan
| | - Keita Wagatsuma
- Division of International Health (Public Health), Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8510, Japan
- Japan Society for the Promotion of Science, Tokyo 102-0083, Japan
| | - Hisami Watanabe
- Infectious Diseases Research Center of Niigata University in Myanmar (IDRC), Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8510, Japan
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Nguyen AT, Lau HMP, Sloane H, Jayasinghe D, Mifsud NA, Chatzileontiadou DSM, Grant EJ, Szeto C, Gras S. Homologous peptides derived from influenza A, B and C viruses induce variable CD8 + T cell responses with cross-reactive potential. Clin Transl Immunology 2022; 11:e1422. [PMID: 36275878 PMCID: PMC9581725 DOI: 10.1002/cti2.1422] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 09/17/2022] [Accepted: 09/21/2022] [Indexed: 11/06/2022] Open
Abstract
Objective Influenza A, B and C viruses (IAV, IBV and ICV, respectively) circulate globally, infecting humans and causing widespread morbidity and mortality. Here, we investigate the T cell response towards an immunodominant IAV epitope, NP265‐273, and its IBV and ICV homologues, presented by HLA‐A*03:01 molecule expressed in ~ 4% of the global population (~ 300 million people). Methods We assessed the magnitude (tetramer staining) and quality of the CD8+ T cell response (intracellular cytokine staining) towards NP265‐IAV and described the T cell receptor (TCR) repertoire used to recognise this immunodominant epitope. We next assessed the immunogenicity of NP265‐IAV homologue peptides from IBV and ICV and the ability of CD8+ T cells to cross‐react towards these homologous peptides. Furthermore, we determined the structures of NP265‐IAV and NP323‐IBV peptides in complex with HLA‐A*03:01 by X‐ray crystallography. Results Our study provides a detailed characterisation of the CD8+ T cell response towards NP265‐IAV and its IBV and ICV homologues. The data revealed a diverse repertoire for NP265‐IAV that is associated with superior anti‐viral protection. Evidence of cross‐reactivity between the three different influenza virus strain‐derived epitopes was observed, indicating the discovery of a potential vaccination target that is broad enough to cover all three influenza strains. Conclusion We show that while there is a potential to cross‐protect against distinct influenza virus lineages, the T cell response was stronger against the IAV peptide than IBV or ICV, which is an important consideration when choosing targets for future vaccine design.
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Affiliation(s)
- Andrea T Nguyen
- Department of Biochemistry and Molecular Biology, Biomedicine Discovery InstituteMonash UniversityClaytonVICAustralia,Department of Biochemistry and Chemistry, La Trobe Institute for Molecular ScienceLa Trobe UniversityBundooraVICAustralia
| | - Hiu Ming Peter Lau
- Department of Biochemistry and Molecular Biology, Biomedicine Discovery InstituteMonash UniversityClaytonVICAustralia
| | - Hannah Sloane
- Department of Biochemistry and Molecular Biology, Biomedicine Discovery InstituteMonash UniversityClaytonVICAustralia,Department of Biochemistry and Chemistry, La Trobe Institute for Molecular ScienceLa Trobe UniversityBundooraVICAustralia
| | - Dhilshan Jayasinghe
- Department of Biochemistry and Molecular Biology, Biomedicine Discovery InstituteMonash UniversityClaytonVICAustralia,Department of Biochemistry and Chemistry, La Trobe Institute for Molecular ScienceLa Trobe UniversityBundooraVICAustralia
| | - Nicole A Mifsud
- Department of Biochemistry and Molecular Biology, Biomedicine Discovery InstituteMonash UniversityClaytonVICAustralia
| | - Demetra SM Chatzileontiadou
- Department of Biochemistry and Molecular Biology, Biomedicine Discovery InstituteMonash UniversityClaytonVICAustralia,Department of Biochemistry and Chemistry, La Trobe Institute for Molecular ScienceLa Trobe UniversityBundooraVICAustralia
| | - Emma J Grant
- Department of Biochemistry and Molecular Biology, Biomedicine Discovery InstituteMonash UniversityClaytonVICAustralia,Department of Biochemistry and Chemistry, La Trobe Institute for Molecular ScienceLa Trobe UniversityBundooraVICAustralia
| | - Christopher Szeto
- Department of Biochemistry and Molecular Biology, Biomedicine Discovery InstituteMonash UniversityClaytonVICAustralia,Department of Biochemistry and Chemistry, La Trobe Institute for Molecular ScienceLa Trobe UniversityBundooraVICAustralia
| | - Stephanie Gras
- Department of Biochemistry and Molecular Biology, Biomedicine Discovery InstituteMonash UniversityClaytonVICAustralia,Department of Biochemistry and Chemistry, La Trobe Institute for Molecular ScienceLa Trobe UniversityBundooraVICAustralia
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Liang W, Tan TJC, Wang Y, Lv H, Sun Y, Bruzzone R, Mok CKP, Wu NC. Egg-adaptive mutations of human influenza H3N2 virus are contingent on natural evolution. PLoS Pathog 2022; 18:e1010875. [PMID: 36155668 PMCID: PMC9536752 DOI: 10.1371/journal.ppat.1010875] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 10/06/2022] [Accepted: 09/12/2022] [Indexed: 11/18/2022] Open
Abstract
Egg-adaptive mutations in influenza hemagglutinin (HA) often emerge during the production of egg-based seasonal influenza vaccines, which contribute to the largest share in the global influenza vaccine market. While some egg-adaptive mutations have minimal impact on the HA antigenicity (e.g. G186V), others can alter it (e.g. L194P). Here, we show that the preference of egg-adaptive mutation in human H3N2 HA is strain-dependent. In particular, Thr160 and Asn190, which are found in many recent H3N2 strains, restrict the emergence of L194P but not G186V. Our results further suggest that natural amino acid variants at other HA residues also play a role in determining the preference of egg-adaptive mutation. Consistently, recent human H3N2 strains from different clades acquire different mutations during egg passaging. Overall, these results demonstrate that natural mutations in human H3N2 HA can influence the preference of egg-adaptation mutation, which has important implications in seed strain selection for egg-based influenza vaccine.
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Affiliation(s)
- Weiwen Liang
- HKU-Pasteur Research Pole, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Timothy J. C. Tan
- Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America
| | - Yiquan Wang
- Department of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America
| | - Huibin Lv
- HKU-Pasteur Research Pole, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Yuanxin Sun
- The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Roberto Bruzzone
- HKU-Pasteur Research Pole, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Istituto Pasteur Italia, Rome, Italy
- Centre for Immunology & Infection, Hong Kong Science Park, Hong Kong SAR, China
| | - Chris K. P. Mok
- The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- * E-mail: (CKPM); (NCW)
| | - Nicholas C. Wu
- Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America
- Department of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America
- Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America
- * E-mail: (CKPM); (NCW)
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Abstract
Annual seasonal influenza epidemics of variable severity caused by influenza A and B virus infections result in substantial disease burden worldwide. Seasonal influenza virus circulation declined markedly in 2020-21 after SARS-CoV-2 emerged but increased in 2021-22. Most people with influenza have abrupt onset of respiratory symptoms and myalgia with or without fever and recover within 1 week, but some can experience severe or fatal complications. Prevention is primarily by annual influenza vaccination, with efforts underway to develop new vaccines with improved effectiveness. Sporadic zoonotic infections with novel influenza A viruses of avian or swine origin continue to pose pandemic threats. In this Seminar, we discuss updates of key influenza issues for clinicians, in particular epidemiology, virology, and pathogenesis, diagnostic testing including multiplex assays that detect influenza viruses and SARS-CoV-2, complications, antiviral treatment, influenza vaccines, infection prevention, and non-pharmaceutical interventions, and highlight gaps in clinical management and priorities for clinical research.
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Affiliation(s)
- Timothy M Uyeki
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - David S Hui
- Division of Respiratory Medicine and Stanley Ho Centre for Emerging Infectious Diseases, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
| | - Maria Zambon
- Virology Reference Department, UK Health Security Agency, London, UK
| | - David E Wentworth
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Arnold S Monto
- Center for Respiratory Research and Response, Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
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Okoli GN, Reddy VK, Lam OLT, Racovitan F, Al-Yousif Y, Askin N. Characteristics and methodological standards across systematic reviews with Meta-analysis of efficacy and/or effectiveness of influenza vaccines: an overview of reviews. Infect Dis (Lond) 2022; 54:861-880. [PMID: 36000220 DOI: 10.1080/23744235.2022.2114537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
BACKGROUND While systematic reviews (SR) generally suggest that vaccination is an effective way to prevent influenza infection, it is not clear if these conclusions are based on high quality SR methods. As such, we systematically identified, critically appraised, and summarised the characteristics and adherence to methodological standards in SRs with meta-analysis of efficacy/effectiveness of influenza vaccines. METHODS We searched MEDLINE, Embase, Scopus, CINAHL, Global Health, and CDSR for English-language SR publications up to July 11, 2022. We summarised the characteristics, adherence to methodological standards and SR quality (AMSTAR 2). RESULTS From 11,193 retrieved citations, we included 48 publications (47 SRs). Seventy-five percent were of a critically low quality, 19% of a low quality, 2% of a moderate quality, and 4% of a high quality. Thirteen percent were industry-funded, about 13% co-authored by industry employee(s), and 4% commissioned by an organisation or authority. Only 45% percent reported protocol registration, 6% reported collaboration with a knowledge synthesis librarian/information specialist, and 60% utilised a reporting checklist (e.g. PRISMA). CONCLUSIONS AND RELEVANCE SRs with meta-analysis of efficacy/effectiveness of influenza vaccines are mostly of critically low quality and even the more recent reviews did not follow current best SR practices. These findings are significant in view of the controversies that surround influenza vaccines, and the use of SRs in informed decision-making. However, the findings do not justify curtailment or cessation of influenza vaccine use as vaccines continue to offer substantial net public health benefit.HighlightsWe systematically identified, critically appraised, and summarised the characteristics and adherence to methodological standards in 47 systematic reviews with meta-analysis of efficacy/effectiveness of influenza vaccines.13% of the reviews were industry-funded.About 13% of the reviews were co-authored by industry employee(s).4% of the reviews were commissioned by an organisation/authority.45% of the reviews reported protocol registration.6% of the reviews reported collaborating with a knowledge synthesis librarian/information specialist to prepare the search strategy.60% of the reviews reported using the PRISMA (or similar) checklist.75% of the reviews were judged to be of critically low quality; 19% of low quality; 2% of moderate quality; 4% of high quality.
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Affiliation(s)
- George N Okoli
- Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada.,College of Pharmacy, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada.,Vaccine and Drug Evaluation Centre, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
| | - Viraj K Reddy
- Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
| | - Otto L T Lam
- Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
| | - Florentin Racovitan
- Division of Experimental Medicine, Faculty of Medicine and Health Sciences, McGill University, Montreal, Canada
| | - Yahya Al-Yousif
- Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
| | - Nicole Askin
- Neil John Maclean Health Sciences Library, University of Manitoba, Winnipeg, Canada
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Soldevila N, Basile L, Martínez A, Torner N, Marcos MÁ, Mosquera MM, Antón A, Andrés C, Rius C, Pumarola T, Domínguez Á. Surveillance of influenza B severe hospitalized cases during ten seasons in Catalonia. Does the lineage make a difference? J Med Virol 2022; 94:4417-4424. [PMID: 35593301 DOI: 10.1002/jmv.27876] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 05/07/2022] [Accepted: 05/17/2022] [Indexed: 11/05/2022]
Abstract
INTRODUCTION Influenza B viruses circulates in two lineages (B/Victoria and B/Yamagata). Although classically affecting children, recently it has shown high rate of infection and increased hospitalization in the elderly. OBJECTIVE To describe and analyze the clinical and epidemiological characteristics of severe hospitalized laboratory confirmed influenza B virus (SHLCI-B) cases in Catalonia associated to mismatch from Influenza B virus strain included in the trivalent influenza vaccine (TIV). METHODS SHLCI-B registered by the influenza sentinel surveillance system of Catalonia (PIDIRAC) during ten surveillance seasons from 2010 to 2020. Variables age, comorbidities, vaccination status were recorded. Vaccine effectiveness was estimated as (1-OR) for intensive care unit (ICU) admission. Statistical significance was established at p <0.05. RESULTS A total of 1159 SHLCI-B were registered, of these 68.2% (791) corresponded to the 2017-18 season; 21.8% (253) were admitted to ICU and 13.8% (160) were exitus; 62.5% (725) cases occurred in those aged > 64 years; most frequent risk factor was cardiovascular disease (35.1%, 407) followed by chronic pulmonary obstructive disease-COPD (24.6%, 285) and diabetes (24.1%, 279). In 4 seasons, the predominant circulating lineage was B/Victoria, in 2 seasons the B/Yamagata lineage and 4 seasons had no IBV activity. Four seasons presented discordance with the strain included within the TIV. Vaccine effectiveness (VE) to prevent ICU admission was 31% (95% CI: 4-51%; p=0.03); being 29% (95%CI: -3%, 51%) in discordant and 43% (95% CI:-43%, 77%) in concordant seasons. Significant differences were observed in the number of affected aged > 64 years (OR=2.5; 95% CI: 1.9-3.4; p <0.001) and in patients with heart disease (OR = 2.40 95% CI: 1.7-3.4; p <0.001), COPD (OR = 1.6 95% CI: 1.1-2.3; p = 0.01) and diabetes (OR = 1.5 95% CI: 1.1-2.1; p = 0.04) between discordant and concordant seasons. CONCLUSIONS The increase in hospitalization rate in people> 64 years of age and those presenting comorbidities in seasons with circulating influenza B virus belonging to a lineage discordant with the strain included in the TIV and the decrease of VE to prevent ICU admissions evidences the vital need to administer the quadrivalent influenza vaccine regardless of the findings of predominant circulation in the previous season. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Núria Soldevila
- Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Luca Basile
- Public Health Agency of Catalonia, Barcelona, Spain
| | - Ana Martínez
- Public Health Agency of Catalonia, Barcelona, Spain.,Ciber Epidemiology and Public Health CIBERESP, Instituto de Salud Carlos III, Madrid
| | - Núria Torner
- Department of Medicine, University of Barcelona, Barcelona, Spain.,Ciber Epidemiology and Public Health CIBERESP, Instituto de Salud Carlos III, Madrid
| | | | - MMar Mosquera
- Department of Microbiology, Hospital Clínic of Barcelona
| | - Andrés Antón
- Respiratory Viruses Unit, Microbiology Department, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Universitat Autònoma de Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid
| | - Cristina Andrés
- Respiratory Viruses Unit, Microbiology Department, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Universitat Autònoma de Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid
| | - Cristina Rius
- Ciber Epidemiology and Public Health CIBERESP, Instituto de Salud Carlos III, Madrid.,Public Health Agency of Barcelona, Barcelona, Spain
| | - Tomàs Pumarola
- Respiratory Viruses Unit, Microbiology Department, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Universitat Autònoma de Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid
| | - Ángela Domínguez
- Department of Medicine, University of Barcelona, Barcelona, Spain.,Ciber Epidemiology and Public Health CIBERESP, Instituto de Salud Carlos III, Madrid
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Clarke M, Mathew SM, Giles LC, Pena AS, Barr IG, Richmond PC, Marshall HS. A Prospective Study Investigating the Impact of Obesity on the Immune Response to the Quadrivalent Influenza Vaccine in Children and Adolescents. Vaccines (Basel) 2022; 10:699. [PMID: 35632458 PMCID: PMC9142924 DOI: 10.3390/vaccines10050699] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 04/26/2022] [Accepted: 04/27/2022] [Indexed: 01/27/2023] Open
Abstract
Obesity can increase the severity of influenza infection. Data are limited regarding immune responses to influenza vaccination in obese children. We aimed to investigate the impact of obesity on quadrivalent influenza vaccine responses in children. Children with obesity (body mass index (BMI) ≥ 95th percentile for age and gender) and children without obesity (BMI < 95th percentile) were enrolled in the study. Blood samples were collected before, 1, and 6 months after influenza vaccination, to measure antibody responses by haemagglutination inhibition (HI) assay. Vaccine immunogenicity outcomes were compared between children with and without obesity. Forty-four children (mean age 13.3 ± 2.1 years, 18 males and 14 with obesity) completed the 6-month study. More than 90% of the participants with and without obesity had seroprotective antibody titres (HI ≥ 40) at both 1 and 6 months following vaccination for each of the four influenza strains (A/H3N2, A/H1N1, B/(Victoria) and B/(Yamagata)). Influenza-specific geometric mean titres at baseline, 1, and 6 months post-vaccination were similar between children with and without obesity for all influenza vaccine strains. Children with and without obesity have robust, sustained antibody responses over 6 months to the quadrivalent influenza vaccine.
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Affiliation(s)
- Michelle Clarke
- Women’s and Children’s Health Network, North Adelaide, SA 5006, Australia; (M.C.); (S.M.M.); (A.S.P.)
- The Robinson Research Institute and Adelaide Medical School, The University of Adelaide, Adelaide, SA 5005, Australia
| | - Suja M. Mathew
- Women’s and Children’s Health Network, North Adelaide, SA 5006, Australia; (M.C.); (S.M.M.); (A.S.P.)
- The Robinson Research Institute and Adelaide Medical School, The University of Adelaide, Adelaide, SA 5005, Australia
| | - Lynne C. Giles
- School of Public Health and The Robinson Research Institute, The University of Adelaide, Adelaide, SA 5005, Australia;
| | - Alexia S. Pena
- Women’s and Children’s Health Network, North Adelaide, SA 5006, Australia; (M.C.); (S.M.M.); (A.S.P.)
- The Robinson Research Institute and Adelaide Medical School, The University of Adelaide, Adelaide, SA 5005, Australia
| | - Ian G. Barr
- WHO Collaborating Centre for Reference and Research on Influenza, Melbourne, VIC 3000, Australia;
| | - Peter C. Richmond
- Discipline of Pediatrics, University of Western Australia, Perth, WA 6009, Australia;
- Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute and Perth Children’s Hospital, Perth, WA 6009, Australia
| | - Helen S. Marshall
- Women’s and Children’s Health Network, North Adelaide, SA 5006, Australia; (M.C.); (S.M.M.); (A.S.P.)
- The Robinson Research Institute and Adelaide Medical School, The University of Adelaide, Adelaide, SA 5005, Australia
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41
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Chung JR, Kim SS, Kondor RJ, Smith C, Budd AP, Tartof SY, Florea A, Talbot HK, Grijalva CG, Wernli KJ, Phillips CH, Monto AS, Martin ET, Belongia EA, McLean HQ, Gaglani M, Reis M, Geffel KM, Nowalk MP, DaSilva J, Keong LM, Stark TJ, Barnes JR, Wentworth DE, Brammer L, Burns E, Fry AM, Patel MM, Flannery B. Interim Estimates of 2021-22 Seasonal Influenza Vaccine Effectiveness - United States, February 2022. MMWR. MORBIDITY AND MORTALITY WEEKLY REPORT 2022; 71:365-370. [PMID: 35271561 PMCID: PMC8911998 DOI: 10.15585/mmwr.mm7110a1] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
In the United States, annual vaccination against seasonal influenza is recommended for all persons aged ≥6 months except when contraindicated (1). Currently available influenza vaccines are designed to protect against four influenza viruses: A(H1N1)pdm09 (the 2009 pandemic virus), A(H3N2), B/Victoria lineage, and B/Yamagata lineage. Most influenza viruses detected this season have been A(H3N2) (2). With the exception of the 2020-21 season, when data were insufficient to generate an estimate, CDC has estimated the effectiveness of seasonal influenza vaccine at preventing laboratory-confirmed, mild/moderate (outpatient) medically attended acute respiratory infection (ARI) each season since 2004-05. This interim report uses data from 3,636 children and adults with ARI enrolled in the U.S. Influenza Vaccine Effectiveness Network during October 4, 2021-February 12, 2022. Overall, vaccine effectiveness (VE) against medically attended outpatient ARI associated with influenza A(H3N2) virus was 16% (95% CI = -16% to 39%), which is considered not statistically significant. This analysis indicates that influenza vaccination did not reduce the risk for outpatient medically attended illness with influenza A(H3N2) viruses that predominated so far this season. Enrollment was insufficient to generate reliable VE estimates by age group or by type of influenza vaccine product (1). CDC recommends influenza antiviral medications as an adjunct to vaccination; the potential public health benefit of antiviral medications is magnified in the context of reduced influenza VE. CDC routinely recommends that health care providers continue to administer influenza vaccine to persons aged ≥6 months as long as influenza viruses are circulating, even when VE against one virus is reduced, because vaccine can prevent serious outcomes (e.g., hospitalization, intensive care unit (ICU) admission, or death) that are associated with influenza A(H3N2) virus infection and might protect against other influenza viruses that could circulate later in the season.
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42
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Olson SM, Newhams MM, Halasa NB, Feldstein LR, Novak T, Weiss SL, Coates BM, Schuster JE, Schwarz AJ, Maddux AB, Hall MW, Nofziger RA, Flori HR, Gertz SJ, Kong M, Sanders RC, Irby K, Hume JR, Cullimore ML, Shein SL, Thomas NJ, Stewart LS, Barnes JR, Patel MM, Randolph AG. Vaccine Effectiveness Against Life-Threatening Influenza Illness in US Children. Clin Infect Dis 2022; 75:230-238. [PMID: 35024795 DOI: 10.1093/cid/ciab931] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Predominance of 2 antigenically drifted influenza viruses during the 2019-2020 season offered an opportunity to assess vaccine effectiveness against life-threatening pediatric influenza disease from vaccine-mismatched viruses in the United States. METHODS We enrolled children aged <18 years admitted to the intensive care unit with acute respiratory infection across 17 hospitals. Respiratory specimens were tested using reverse-transcription polymerase chain reaction for influenza viruses and sequenced. Using a test-negative design, we estimated vaccine effectiveness comparing odds of vaccination in test-positive case patients vs test-negative controls, stratifying by age, virus type, and severity. Life-threating influenza included death or invasive mechanical ventilation, vasopressors, cardiopulmonary resuscitation, dialysis, or extracorporeal membrane oxygenation. RESULTS We enrolled 159 critically ill influenza case-patients (70% ≤8 years; 51% A/H1N1pdm09 and 25% B-Victoria viruses) and 132 controls (69% were aged ≤8 years). Among 56 sequenced A/H1N1pdm09 viruses, 29 (52%) were vaccine-mismatched (A/H1N1pdm09/5A+156K) and 23 (41%) were vaccine-matched (A/H1N1pdm09/5A+187A,189E). Among sequenced B-lineage viruses, majority (30 of 31) were vaccine-mismatched. Effectiveness against critical influenza was 63% (95% confidence interval [CI], 38% to 78%) and similar by age. Effectiveness was 75% (95% CI, 49% to 88%) against life-threatening influenza vs 57% (95% CI, 24% to 76%) against non-life-threating influenza. Effectiveness was 78% (95% CI, 41% to 92%) against matched A(H1N1)pdm09 viruses, 47% (95% CI, -21% to 77%) against mismatched A(H1N1)pdm09 viruses, and 75% (95% CI, 37% to 90%) against mismatched B-Victoria viruses. CONCLUSIONS During a season when vaccine-mismatched influenza viruses predominated, vaccination was associated with a reduced risk of critical and life-threatening influenza illness in children.
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Affiliation(s)
- Samantha M Olson
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Margaret M Newhams
- Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Natasha B Halasa
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Leora R Feldstein
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Tanya Novak
- Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital, Boston, Massachusetts, USA.,Department of Anesthesia, Harvard Medical School, Boston, Massachusetts, USA
| | - Scott L Weiss
- Division of Critical Care, Department of Anesthesiology and Critical Care, The University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Bria M Coates
- Division of Critical Care Medicine, Department of Pediatrics, Northwestern University Feinberg School of Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA
| | - Jennifer E Schuster
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, Missouri, USA
| | - Adam J Schwarz
- Department of Pediatrics, Children's Hospital of Orange County, Orange, California, USA
| | - Aline B Maddux
- Department of Pediatrics, Section of Critical Care Medicine, University of Colorado School of Medicine and Children's Hospital Colorado, Aurora, Colorado, USA
| | - Mark W Hall
- Division of Critical Care Medicine, Department of Pediatrics, Nationwide Children's Hospital, Columbus, Ohio, USA
| | - Ryan A Nofziger
- Division of Critical Care Medicine, Department of Pediatrics, Akron Children's Hospital, Akron, Ohio, USA
| | - Heidi R Flori
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, Mott Children's Hospital and University of Michigan, Ann Arbor, Michigan, USA
| | - Shira J Gertz
- Division of Pediatric Critical Care, Department of Pediatrics, Saint Barnabas Medical Center, Livingston, New Jersey, USA
| | - Michele Kong
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Ronald C Sanders
- Section of Pediatric Critical Care, Department of Pediatrics, Arkansas Children's Hospital, Little Rock, Arkansas, USA
| | - Katherine Irby
- Section of Pediatric Critical Care, Department of Pediatrics, Arkansas Children's Hospital, Little Rock, Arkansas, USA
| | - Janet R Hume
- Division of Pediatric Critical Care, University of Minnesota Masonic Children's Hospital, Minneapolis, Minnesota, USA
| | - Melissa L Cullimore
- Division of Pediatric Critical Care, Department of Pediatrics, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Steven L Shein
- Division of Pediatric Critical Care Medicine, Rainbow Babies and Children's Hospital, Cleveland, Ohio, USA
| | - Neal J Thomas
- Department of Pediatrics, Penn State Hershey Children's Hospital, Penn State University College of Medicine, Hershey, Pennsylvania, USA
| | - Laura S Stewart
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - John R Barnes
- 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
| | - Adrienne G Randolph
- Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital, Boston, Massachusetts, USA.,Department of Anesthesia, Harvard Medical School, Boston, Massachusetts, USA.,Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
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43
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Delahoy MJ, Mortenson L, Bauman L, Marquez J, Bagdasarian N, Coyle J, Sumner K, Lewis NM, Lauring AS, Flannery B, Patel MM, Martin ET. Influenza A(H3N2) Outbreak on a University Campus - Michigan, October-November 2021. MMWR. MORBIDITY AND MORTALITY WEEKLY REPORT 2021; 70:1712-1714. [PMID: 34882659 PMCID: PMC8659183 DOI: 10.15585/mmwr.mm7049e1] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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44
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Lewis NM, Chung JR, Uyeki TM, Grohskopf L, Ferdinands JM, Patel MM. Interpretation of Relative Efficacy and Effectiveness for Influenza Vaccines. Clin Infect Dis 2021; 75:170-175. [PMID: 34875035 DOI: 10.1093/cid/ciab1016] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Indexed: 11/15/2022] Open
Abstract
Relative vaccine effectiveness (rVE) are metrics commonly reported to compare absolute VE (aVE) of two vaccine products. Estimates of rVE for enhanced influenza vaccines (eIV) vs. standard inactivated influenza vaccine (IIV) have been assessed across different seasons, influenza-specific endpoints, and nonspecific endpoints (e.g., all-cause cardiovascular hospitalizations). To illustrate the challenges of comparability across studies, we conducted a scenario analysis to evaluate the effects of varying absolute VE (aVE) of IIV (i.e., as compared with placebo) on the interpretation of rVE of eIV vs IIV. We show that estimates of rVE might not be comparable across studies because additional benefits commensurate with a given estimate of rVE are dependent on the aVE for the comparator vaccine, which can depend on factors such as host response to vaccine, virus type, and clinical endpoint evaluated. These findings have implications for interpretation of rVE across studies and for sample size considerations in future trials.
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Affiliation(s)
- Nathaniel M Lewis
- 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
| | - Timothy M Uyeki
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta Georgia, USA
| | - Lisa Grohskopf
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta Georgia, USA
| | - Jill M Ferdinands
- 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
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45
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Immune-mediated attenuation of influenza illness after infection: opportunities and challenges. THE LANCET MICROBE 2021; 2:e715-e725. [DOI: 10.1016/s2666-5247(21)00180-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 06/01/2021] [Accepted: 07/01/2021] [Indexed: 01/04/2023] Open
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46
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Chow EJ, Tenforde MW, Rolfes MA, Lee B, Chodisetty S, Ramirez JA, Fry AM, Patel MM. Differentiating severe and non-severe lower respiratory tract illness in patients hospitalized with influenza: Development of the Influenza Disease Evaluation and Assessment of Severity (IDEAS) scale. PLoS One 2021; 16:e0258482. [PMID: 34673782 PMCID: PMC8530291 DOI: 10.1371/journal.pone.0258482] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 09/28/2021] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Experimental studies have shown that vaccination can reduce viral replication to attenuate progression of influenza-associated lower respiratory tract illness (LRTI). However, clinical studies are conflicting, possibly due to use of non-specific outcomes reflecting a mix of large and small airway LRTI lacking specificity for acute lung or organ injury. METHODS We developed a global ordinal scale to differentiate large and small airway LRTI in hospitalized adults with influenza using physiologic features and interventions (PFIs): vital signs, laboratory and radiographic findings, and clinical interventions. We reviewed the literature to identify common PFIs across 9 existing scales of pneumonia and sepsis severity. To characterize patients using this scale, we applied the scale to an antiviral clinical trial dataset where these PFIs were measured through routine clinical care in adults hospitalized with influenza-associated LRTI during the 2010-2013 seasons. RESULTS We evaluated 12 clinical parameters among 1020 adults; 210 (21%) had laboratory-confirmed influenza, with a median severity score of 4.5 (interquartile range, 2-8). Among influenza cases, median age was 63 years, 20% were hospitalized in the prior 90 days, 50% had chronic obstructive pulmonary disease, and 22% had congestive heart failure. Primary influencers of higher score included pulmonary infiltrates on imaging (48.1%), heart rate ≥110 beats/minute (41.4%), oxygen saturation <93% (47.6%) and respiratory rate >24 breaths/minute (21.0%). Key PFIs distinguishing patients with severity < or ≥8 (upper quartile) included infiltrates (27.1% vs 90.0%), temperature ≥ 39.1°C or <36.0°C (7.1% vs 27.1%), respiratory rate >24 breaths/minute (7.9% vs 47.1%), heart rate ≥110 beats/minute (29.3% vs 65.7%), oxygen saturation <90% (14.3% vs 31.4%), white blood cell count >15,000 (5.0% vs 27.2%), and need for invasive or non-invasive mechanical ventilation (2.1% vs 15.7%). CONCLUSION We developed a scale in adults hospitalized with influenza-associated LRTI demonstrating a broad distribution of physiologic severity which may be useful for future studies evaluating the disease attenuating effects of influenza vaccination or other therapeutics.
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Affiliation(s)
- Eric J. Chow
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
- Epidemic Intelligence Service, Center for Surveillance, Epidemiology and Laboratory Services, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Mark W. Tenforde
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
- Epidemic Intelligence Service, Center for Surveillance, Epidemiology and Laboratory Services, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Melissa A. Rolfes
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Benjamin Lee
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Shreya Chodisetty
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Julio A. Ramirez
- Division of Infectious Diseases, Department of Medicine, University of Louisville School of Medicine, Louisville, Kentucky, United States of America
| | - Alicia M. Fry
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Manish M. Patel
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
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47
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Okoli GN, Abdulwahid T, Racovitan F, Righolt CH, Mahmud SM. Interim seasonal influenza vaccine effectiveness estimates as proxy for final estimates: analysis of systematically identified matched pairs of interim/final estimates from test-negative design studies in outpatient settings from 2010/11 to 2018/19. Expert Rev Vaccines 2021; 20:585-599. [PMID: 33682585 DOI: 10.1080/14760584.2021.1899821] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
OBJECTIVES Limited time for seasonal influenza vaccine development means that the World Health Organization has to consider interim (early) rather than final vaccine effectiveness (VE) estimates in deciding influenza vaccine composition. We assessed agreement between interim and final VE estimates, and factors that may determine a substantial difference (≥10%) between point estimates. METHODS This was a mixed methods study. We systematically searched, identified, and matched interim/final VE studies of test-negative design (TND) type in outpatient settings after the 2009/10 influenza pandemic. The chi-square statistic (χ2) was used to assess the statistical significance of the difference between paired interim/final VE estimates. We calculated the difference between point estimates and used multivariable logistic regression to assess factors that may determine a substantial difference. RESULTS We identified 68 interim/final VE pairs. There was no statistically significant difference between almost all compared pairs. An inconsistent statistical model for interim/final VE estimation and interim VE estimation before the epidemic peak increased the odds of having a substantial difference between estimates. CONCLUSION : Interim influenza VE appears to be sufficient for vaccine composition decision-making. Consistency in interim/final VE estimation, and interim VE estimation during/after epidemic peak may increase agreement between the VE estimates.
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Affiliation(s)
- George N Okoli
- College of Pharmacy, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.,George and Fay Yee Centre for Healthcare Innovation, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.,Vaccine and Drug Evaluation Centre, University of Manitoba, Winnipeg, MB, Canada
| | - Tiba Abdulwahid
- George and Fay Yee Centre for Healthcare Innovation, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Florentin Racovitan
- Vaccine and Drug Evaluation Centre, University of Manitoba, Winnipeg, MB, Canada
| | - Christiaan H Righolt
- Vaccine and Drug Evaluation Centre, University of Manitoba, Winnipeg, MB, Canada.,Community Health Sciences, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Salaheddin M Mahmud
- College of Pharmacy, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.,Vaccine and Drug Evaluation Centre, University of Manitoba, Winnipeg, MB, Canada.,Community Health Sciences, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
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