Modeling the long-term antibody response of a hepatitis E vaccine |
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Affiliation: | 1. State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health, Xiamen University, Xiamen 361102, China;2. Key Laboratory of Health Technology Assessment of Fujian Province University, School of Public Health, Xiamen University, Xiamen 361102, China;3. School of Mathematical Sciences, Xiamen University, Xiamen 361005, China;4. Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, Jiangsu Province, China;1. State Key Laboratory of Virology and College of Life Sciences, Wuhan University, Wuhan 430072, China;2. Clinical Research Center, Wuhan Children''s Hospital, Wuhan 430016, China;1. Department of Genetic Engineering and Graduate School of Biotechnology, Kyung Hee University, Yongin 446-701, Republic of Korea;2. RNA Inc., Yongin 446-701, Republic of Korea;3. Department of Microbiology and Research Center for Medical Sciences, Chung-Ang University College of Medicine, Seoul 156-756, Republic of Korea;1. Center for Genetic Engineering and Biotechnology (CIGB), Ave 31, P.O. Box 6162, Havana, 10 600, Cuba;2. Institut de Biologie de Lille (UMR8161), CNRS, Universite de Lille I & II and Institut Pasteur de Lille, Lille, France;1. Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands;2. Department of Pediatric Immunology and Infectious Diseases, Wilhelmina Children’s Hospital, University Medical Center Utrecht, Utrecht, The Netherlands;3. Netherlands Reference Laboratory of Bacterial Meningitis, Academic Medical Center, Amsterdam, The Netherlands;1. Genomics Research Center, Academia Sinica, Taipei, Taiwan;12. Academia Sinica, Taipei, Taiwan;3. Institute of Clinical Medicine, National Yang-Ming University, Taipei, Taiwan;4. Department of Gastroenterology, Chang-Gung Memorial Hospital, Kaohsiung, Taiwan;6. MacKay College of Medicine, New Taipei City, Taiwan;5. School of Public Health, Xiamen University, Xiamen, Fujian, China;7. Department of Hepatitis and Immunology, Nagoya City University Graduate School of Medical Science, Nagoya, Japan;8. Division of Gastroenterology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan;10. Graduate Institute of Clinical Medicine, National Taiwan University, Taipei, Taiwan |
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Abstract: | ![]() BackgroundThe first commercialized hepatitis E vaccine, HEV 239, has been shown to be safe and highly immunogenic, the protection as well as the vaccine-induced anti-HEV maintained for at least 4.5 years. However, the longer term persistence of the vaccine-induced anti-HEV responses is unknown.MethodsTwo statistical models, the power-law model and the modified power-law model, were applied to predict the long-term antibody response of the HEV 239 vaccine. The models were fit using the anti-HEV IgG data from a modeling subpopulation of 1278 baseline seronegative vaccinees who seroconverted within one month after finishing the whole vaccination course in the phase 3 trial of HEV 239. In addition, antibody data from a validation subpopulation were used to validate the robustness of the derived models.ResultsIn the vaccinees without pre-vaccination immunity, the power-law model and the modified power-law model estimated that the median duration of the detectable antibody (≥0.077 WU/ml) was 8 years and 13 years, respectively. The power-law model and the modified power-law model estimated that 50% of these vaccinees will maintain detectable levels of anti-HEV IgG for 8 years and >30 years, respectively.ConclusionsThe recombinant hepatitis E vaccine HEV 239 is predicted to provide from 8 years to nearly life-long persistence of anti-HEV IgG above detectable levels. Model predictions are based on conservative mathematical assumptions.(NCT01014845). |
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Keywords: | Hepatitis E vaccine Antibody persistence Mathematical models Immunogenicity HE" },{" #name" :" keyword" ," $" :{" id" :" kw0030" }," $$" :[{" #name" :" text" ," _" :" hepatitis E HEV" },{" #name" :" keyword" ," $" :{" id" :" kw0040" }," $$" :[{" #name" :" text" ," _" :" hepatitis E virus ORF" },{" #name" :" keyword" ," $" :{" id" :" kw0050" }," $$" :[{" #name" :" text" ," _" :" open reading frame WU" },{" #name" :" keyword" ," $" :{" id" :" kw0060" }," $$" :[{" #name" :" text" ," _" :" World Health Organization units ELISA" },{" #name" :" keyword" ," $" :{" id" :" kw0070" }," $$" :[{" #name" :" text" ," _" :" enzyme-linked immunosorbent assay GMC" },{" #name" :" keyword" ," $" :{" id" :" kw0080" }," $$" :[{" #name" :" text" ," _" :" geometric mean concentration CI" },{" #name" :" keyword" ," $" :{" id" :" kw0090" }," $$" :[{" #name" :" text" ," _" :" confidence interval AIC" },{" #name" :" keyword" ," $" :{" id" :" kw0100" }," $$" :[{" #name" :" text" ," _" :" Akaike's information criterion |
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