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Shcheblyakov DV, Voronina DV, Favorskaya IA, Esmagambetov IB, Alekseeva IA, Korobkova AI, Ryabova EI, Derkaev AA, Kan VY, Dzharullaeva AS, Tukhvatulin AI, Bandelyuk AS, Shmarov MM, Logunov DY, Gintsburg AL. Broadly Reactive Nanobody Targeting the H3 Hemagglutinin of the Influenza A Virus. Acta Naturae 2024; 16:101-110. [PMID: 38698957 PMCID: PMC11062109 DOI: 10.32607/actanaturae.27374] [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: 01/24/2024] [Accepted: 02/09/2024] [Indexed: 05/05/2024] Open
Abstract
Monoclonal antibodies and recombinant antibody fragments are a very promising therapeutic tool to combat infectious diseases. Due to their unique paratope structure, nanobodies (VHHs) hold several advantages over conventional monoclonal antibodies, especially in relation to viral infections. Influenza A viruses (IAVs) remain a major threat to public health. The hemagglutinin (HA) protein is the main protective and immunodominant antigen of IAVs. In this study, three broadly reactive nanobodies (D9.2, E12.2, and D4.2) to H3N2 influenza strains were isolated and Fc-fusion proteins (VHH-Fcs) were obtained and characterized in vitro. This modification improved the nanobodies' binding activity and allowed for their interaction with a wider range of strains. The D9.2-Fc antibody showed a 100% protection rate against mortality in vivo in a mouse lethal model. Furthermore, we demonstrated that the observed protection has to do with Fc-FcγR interactions. These results indicate that D9.2-Fc can serve as an effective antiviral agent against the H3N2 influenza infection.
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Affiliation(s)
- D. V. Shcheblyakov
- National Research Center for Epidemiology and Microbiology named after the honorary academician N. F. Gamaleya, Moscow, 123098 Russian Federation
| | - D. V. Voronina
- National Research Center for Epidemiology and Microbiology named after the honorary academician N. F. Gamaleya, Moscow, 123098 Russian Federation
| | - I. A. Favorskaya
- National Research Center for Epidemiology and Microbiology named after the honorary academician N. F. Gamaleya, Moscow, 123098 Russian Federation
| | - I. B. Esmagambetov
- National Research Center for Epidemiology and Microbiology named after the honorary academician N. F. Gamaleya, Moscow, 123098 Russian Federation
| | - I. A. Alekseeva
- National Research Center for Epidemiology and Microbiology named after the honorary academician N. F. Gamaleya, Moscow, 123098 Russian Federation
| | - A. I. Korobkova
- National Research Center for Epidemiology and Microbiology named after the honorary academician N. F. Gamaleya, Moscow, 123098 Russian Federation
| | - E. I. Ryabova
- National Research Center for Epidemiology and Microbiology named after the honorary academician N. F. Gamaleya, Moscow, 123098 Russian Federation
- Department of Immunology and Biotechnology, Moscow State Academy of Veterinary Medicine and Biotechnology named after K. I. Skryabin, Moscow, 109472 Russian Federation
| | - A. A. Derkaev
- National Research Center for Epidemiology and Microbiology named after the honorary academician N. F. Gamaleya, Moscow, 123098 Russian Federation
| | - V. Yu. Kan
- National Research Center for Epidemiology and Microbiology named after the honorary academician N. F. Gamaleya, Moscow, 123098 Russian Federation
| | - A. Sh. Dzharullaeva
- National Research Center for Epidemiology and Microbiology named after the honorary academician N. F. Gamaleya, Moscow, 123098 Russian Federation
| | - A. I. Tukhvatulin
- National Research Center for Epidemiology and Microbiology named after the honorary academician N. F. Gamaleya, Moscow, 123098 Russian Federation
| | - A. S. Bandelyuk
- National Research Center for Epidemiology and Microbiology named after the honorary academician N. F. Gamaleya, Moscow, 123098 Russian Federation
| | - M. M. Shmarov
- National Research Center for Epidemiology and Microbiology named after the honorary academician N. F. Gamaleya, Moscow, 123098 Russian Federation
| | - D. Yu. Logunov
- National Research Center for Epidemiology and Microbiology named after the honorary academician N. F. Gamaleya, Moscow, 123098 Russian Federation
| | - A. L. Gintsburg
- National Research Center for Epidemiology and Microbiology named after the honorary academician N. F. Gamaleya, Moscow, 123098 Russian Federation
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Zhang Z, Guo F, Roy A, Yang J, Luo W, Shen X, Irwin DM, Chen RA, Shen Y. Evolutionary perspectives and adaptation dynamics of human seasonal influenza viruses from 2009 to 2019: An insight from codon usage. INFECTION, GENETICS AND EVOLUTION : JOURNAL OF MOLECULAR EPIDEMIOLOGY AND EVOLUTIONARY GENETICS IN INFECTIOUS DISEASES 2021; 96:105067. [PMID: 34487866 DOI: 10.1016/j.meegid.2021.105067] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 08/28/2021] [Accepted: 09/01/2021] [Indexed: 06/13/2023]
Abstract
The annually recurrent seasonal influenza viruses, namely, influenza A viruses (H1N1/pdm2009 and H3N2) and influenza B viruses, contribute substantially to human disease burden. Elucidation of host adaptation, population dynamics and evolutionary patterns of these viruses contribute to better control of current epidemic situation and bolster efforts towards pandemic preparedness. Present study has been addressed at unraveling the signatures of codon usage and dinucleotide distribution of these seasonal influenza viruses associating with their fitness and ongoing adaptive evolution in human population. Thorough analysis of codon usage adaptation revealed that H3N2 has been exhibited best adapted to human cellular system, which correlate with its highest epidemic intensity as compared with the other seasonal influenza viruses. CpG dinucleotide was found to be strongly avoided among the seasonal influenza viruses with more restraint among influenza B viruses than influenza A viruses, and might be accounted to the strategy of the viral pathogens in evading human immune signals. Dynamic scenes of ongoing evolution in codon usage and elimination of CpG motif among the viruses, which correlate with their distinct host adaption state, signifying the marked impact of selective force operational on the viral genomes, aimed at proficient circulation, enhanced fitness and successful infective manifestations in humans.
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Affiliation(s)
- Zhipeng Zhang
- Zhaoqing Branch Center of Guangdong Laboratory for Lingnan Modern Agricultural Science and Technology, Zhaoqing 526238, China; Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
| | - Fucheng Guo
- Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
| | - Ayan Roy
- Department of Biotechnology, Lovely Professional University, Punjab, India
| | - Jinjin Yang
- Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
| | - Wen Luo
- Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
| | - Xuejuan Shen
- Zhaoqing Branch Center of Guangdong Laboratory for Lingnan Modern Agricultural Science and Technology, Zhaoqing 526238, China; Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
| | - David M Irwin
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto M5S 1A8, Canada; Banting and Best Diabetes Centre, University of Toronto, Toronto M5S 1A8, Canada
| | - Rui-Ai Chen
- Zhaoqing Branch Center of Guangdong Laboratory for Lingnan Modern Agricultural Science and Technology, Zhaoqing 526238, China; Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; Zhaoqing Institute of Biotechnology, Zhaoqing 526238, China.
| | - Yongyi Shen
- Zhaoqing Branch Center of Guangdong Laboratory for Lingnan Modern Agricultural Science and Technology, Zhaoqing 526238, China; Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China; Zhaoqing Institute of Biotechnology, Zhaoqing 526238, China; Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, Guangzhou 510642, China.
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Huang PY, Su CP, Liu SW, Kao KC, Hsieh YC, Huang CT. Correlation between Negative Rapid Influenza Diagnostic Test and Severe Disease in Hospitalized Adults with Laboratory-Confirmed Influenza Virus Infection. Am J Trop Med Hyg 2020; 103:1642-1648. [PMID: 32876004 PMCID: PMC7543834 DOI: 10.4269/ajtmh.19-0444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
False-negative rapid influenza diagnostic test (RIDT) results could mislead physicians to exclude an influenza diagnosis. We sought to evaluate the association between negative RIDT and intensive care unit (ICU) admission. We reviewed data from hospitalized adults with laboratory-confirmed influenza virus infections in a tertiary referral hospital in Taiwan from July 2009 to February 2011. The diagnosis was documented by real-time PCR or virus culture. Of 134 hospitalized adults infected with influenza virus, 38 (28%) were admitted to the ICU. Compared with RIDT-positive patients, the percentage of ICU admission was significantly higher among RIDT-negative patients (46% versus 13%, P < 0.001). The RIDT-negative patients had higher percentages of lower respiratory symptoms and more chest radiograph infiltrates. The time interval between the RIDT and antiviral treatment was longer in RIDT-negative than RIDT-positive patients (1.94 days versus 0.03 days, P < 0.001). Among patients presenting with mild illness, only a negative RIDT and delayed antiviral treatment were associated with ICU admission after adjusting for potential confounding factors. To conclude, patients with a negative RIDT were more likely to have severe disease and a delay in initiating antiviral treatment. Our findings should help improve treatment outcomes of hospitalized patients with influenza infection.
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Affiliation(s)
- Po-Yen Huang
- Division of Infectious Diseases, Department of Internal Medicine, Chang-Gung Memorial Hospital, Chang-Gung University College of Medicine, Taoyuan, Taiwan
| | - Chia-Ping Su
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.,Taiwan Centers for Disease Control, Ministry of Health and Welfare, Taipei, Taiwan
| | - Shi-Wei Liu
- Division of Infectious Diseases, Department of Internal Medicine, Chang-Gung Memorial Hospital, Chang-Gung University College of Medicine, Taoyuan, Taiwan
| | - Kuo-Chin Kao
- Department of Respiratory Therapy, Chang Gung Memorial Hospital, Taoyuan, Taiwan.,Department of Thoracic Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Yu-Chia Hsieh
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Chang Gung Children's Hospital, Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Ching-Tai Huang
- Division of Infectious Diseases, Department of Internal Medicine, Chang-Gung Memorial Hospital, Chang-Gung University College of Medicine, Taoyuan, Taiwan
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Post-pandemic influenza A/H1N1pdm09 is associated with more severe outcomes than A/H3N2 and other respiratory viruses in adult hospitalisations. Epidemiol Infect 2019; 147:e310. [PMID: 31775940 PMCID: PMC7003621 DOI: 10.1017/s095026881900195x] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
This study compares the frequency and severity of influenza A/H1N1pdm09 (A/H1), influenza A/H3N2 (A/H3) and other respiratory virus infections in hospitalised patients. Data from 17 332 adult hospitalised patients admitted to Sir Charles Gairdner Hospital, Perth, Western Australia, with a respiratory illness between 2012 and 2015 were linked with data containing reverse transcription polymerase chain reaction results for respiratory viruses including A/H1, A/H3, influenza B, human metapneumovirus, respiratory syncytial virus and parainfluenza. Of these, 1753 (10.1%) had test results. Multivariable regression analyses were conducted to compare the viruses for clinical outcomes including ICU admission, ventilation, pneumonia, length of stay and death. Patients with A/H1 were more likely to experience severe outcomes such as ICU admission (OR 2.5, 95% CI 1.2–5.5, P = 0.016), pneumonia (OR 3.0, 95% CI 1.6–5.7, P < 0.001) and lower risk of discharge from hospital (indicating longer lengths of hospitalisation; HR 0.64 95% CI 0.47–0.88, P = 0.005), than patients with A/H3. Patients with a non-influenza respiratory virus were less likely to experience severe clinical outcomes than patients with A/H1, however, had similar likelihood when compared to patients with A/H3. Patients hospitalised with A/H1 had higher odds of severe outcomes than patients with A/H3 or other respiratory viruses. Knowledge of circulating influenza strains is important for healthcare preparedness.
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Hauge SH, Bakken IJ, de Blasio BF, Håberg SE. Burden of medically attended influenza in Norway 2008-2017. Influenza Other Respir Viruses 2019; 13:240-247. [PMID: 30637942 PMCID: PMC6468058 DOI: 10.1111/irv.12627] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Revised: 12/06/2018] [Accepted: 12/08/2018] [Indexed: 12/21/2022] Open
Abstract
Background The burden of influenza in Norway remains uncertain, and data on seasonal variations and differences by age groups are needed. Objective To describe number of patients diagnosed with influenza in Norway each season and the number treated in primary or specialist health care by age. Further, to compare the burden of seasonal influenza with the 2009‐2010 pandemic outbreak. Methods We used Norwegian national health registries and identified all patients diagnosed with influenza from 2008 to 2017. We calculated seasonal rates, compared hospitalized patients with patients in primary care and compared seasonal influenza with the 2009‐2010 pandemic outbreak. Results Each season, on average 1.7% of the population were diagnosed with influenza in primary care, the average rate of hospitalization was 48 per 100 000 population while the average number of hospitalized patients each season was nearly 2500. The number of hospitalized influenza patients ranged from 579 in 2008‐2009 to 4973 in 2016‐2017. Rates in primary care were highest among young adults while hospitalization rates were highest in patients 80 years and older and in children below 5 years. The majority of in‐hospital deaths were in patients 70 years and older. Fewer patients were hospitalized during the 2009‐2010 pandemic than in seasonal outbreaks, but during the pandemic, more people in the younger age groups were hospitalized and fatal cases were younger. Conclusion Influenza causes a substantial burden in primary care and hospitals. In non‐pandemic seasons, people above 80 years have the highest risk of influenza hospitalization and death.
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Affiliation(s)
- Siri Helene Hauge
- Division of Infection Control and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Inger Johanne Bakken
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Birgitte F de Blasio
- Division of Infection Control and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway.,Department of Biostatistics, Oslo Centre for Biostatistics and Epidemiology, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Siri E Håberg
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
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Kazanasmaz H, Geter S, Solmaz A, Genç Ş, Gümüş H. Epidemik Dönemde Şanlıurfa İli Pandemik H1N1 İnfluenza Olgularının Klinik Değerlendirmesi. ACTA MEDICA ALANYA 2018. [DOI: 10.30565/medalanya.368195] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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