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Mentzer AJ, Dilthey AT, Pollard M, Gurdasani D, Karakoc E, Carstensen T, Muhwezi A, Cutland C, Diarra A, da Silva Antunes R, Paul S, Smits G, Wareing S, Kim H, Pomilla C, Chong AY, Brandt DYC, Nielsen R, Neaves S, Timpson N, Crinklaw A, Lindestam Arlehamn CS, Rautanen A, Kizito D, Parks T, Auckland K, Elliott KE, Mills T, Ewer K, Edwards N, Fatumo S, Webb E, Peacock S, Jeffery K, van der Klis FRM, Kaleebu P, Vijayanand P, Peters B, Sette A, Cereb N, Sirima S, Madhi SA, Elliott AM, McVean G, Hill AVS, Sandhu MS. High-resolution African HLA resource uncovers HLA-DRB1 expression effects underlying vaccine response. Nat Med 2024; 30:1384-1394. [PMID: 38740997 PMCID: PMC11108778 DOI: 10.1038/s41591-024-02944-5] [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: 02/08/2023] [Accepted: 03/25/2024] [Indexed: 05/16/2024]
Abstract
How human genetic variation contributes to vaccine effectiveness in infants is unclear, and data are limited on these relationships in populations with African ancestries. We undertook genetic analyses of vaccine antibody responses in infants from Uganda (n = 1391), Burkina Faso (n = 353) and South Africa (n = 755), identifying associations between human leukocyte antigen (HLA) and antibody response for five of eight tested antigens spanning pertussis, diphtheria and hepatitis B vaccines. In addition, through HLA typing 1,702 individuals from 11 populations of African ancestry derived predominantly from the 1000 Genomes Project, we constructed an imputation resource, fine-mapping class II HLA-DR and DQ associations explaining up to 10% of antibody response variance in our infant cohorts. We observed differences in the genetic architecture of pertussis antibody response between the cohorts with African ancestries and an independent cohort with European ancestry, but found no in silico evidence of differences in HLA peptide binding affinity or breadth. Using immune cell expression quantitative trait loci datasets derived from African-ancestry samples from the 1000 Genomes Project, we found evidence of differential HLA-DRB1 expression correlating with inferred protection from pertussis following vaccination. This work suggests that HLA-DRB1 expression may play a role in vaccine response and should be considered alongside peptide selection to improve vaccine design.
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Affiliation(s)
- Alexander J Mentzer
- Centre for Human Genetics, University of Oxford, Oxford, UK.
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
| | - Alexander T Dilthey
- Centre for Human Genetics, University of Oxford, Oxford, UK
- Institute of Medical Microbiology and Hospital Hygiene, University Hospital of Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | | | | | | | | | - Allan Muhwezi
- Medical Research Council/Uganda Virus Research Institute and London School of Hygiene & Tropical Medicine Uganda Research Unit, Entebbe, Uganda
| | - Clare Cutland
- South African Medical Research Council Vaccines and Infectious Diseases Analytics Research Unit, University of the Witwatersrand, Johannesburg, South Africa
| | - Amidou Diarra
- Groupe de Recherche Action en Santé (GRAS) 06 BP 10248, Ouagadougou, Burkina Faso
| | | | - Sinu Paul
- Center for Vaccine Innovation, La Jolla Institute for Immunology, La Jolla, CA, USA
| | - Gaby Smits
- National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Susan Wareing
- Microbiology Department, John Radcliffe Hospital, Oxford University NHS Foundation Trust, Oxford, UK
| | | | | | - Amanda Y Chong
- Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Debora Y C Brandt
- Department of Integrative Biology, University of California at Berkeley, California, CA, USA
| | - Rasmus Nielsen
- Department of Integrative Biology, University of California at Berkeley, California, CA, USA
| | - Samuel Neaves
- Avon Longitudinal Study of Parents and Children at University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Nicolas Timpson
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Austin Crinklaw
- Center for Vaccine Innovation, La Jolla Institute for Immunology, La Jolla, CA, USA
| | | | - Anna Rautanen
- Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Dennison Kizito
- Medical Research Council/Uganda Virus Research Institute and London School of Hygiene & Tropical Medicine Uganda Research Unit, Entebbe, Uganda
| | - Tom Parks
- Centre for Human Genetics, University of Oxford, Oxford, UK
- Department of Infectious Disease, Imperial College London, London, UK
| | | | - Kate E Elliott
- Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Tara Mills
- Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Katie Ewer
- The Jenner Institute, University of Oxford, Oxford, UK
| | - Nick Edwards
- The Jenner Institute, University of Oxford, Oxford, UK
| | - Segun Fatumo
- Medical Research Council/Uganda Virus Research Institute and London School of Hygiene & Tropical Medicine Uganda Research Unit, Entebbe, Uganda
- The Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine London, London, UK
| | - Emily Webb
- MRC International Statistics and Epidemiology Group, London School of Hygiene and Tropical Medicine London, London, UK
| | - Sarah Peacock
- Tissue Typing Laboratory, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Katie Jeffery
- Microbiology Department, John Radcliffe Hospital, Oxford University NHS Foundation Trust, Oxford, UK
- Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | | | - Pontiano Kaleebu
- Medical Research Council/Uganda Virus Research Institute and London School of Hygiene & Tropical Medicine Uganda Research Unit, Entebbe, Uganda
| | | | - Bjorn Peters
- Center for Vaccine Innovation, La Jolla Institute for Immunology, La Jolla, CA, USA
- Department of Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Alessandro Sette
- Center for Vaccine Innovation, La Jolla Institute for Immunology, La Jolla, CA, USA
- Department of Medicine, University of California, San Diego, La Jolla, CA, USA
| | | | - Sodiomon Sirima
- Groupe de Recherche Action en Santé (GRAS) 06 BP 10248, Ouagadougou, Burkina Faso
| | - Shabir A Madhi
- South African Medical Research Council Vaccines and Infectious Diseases Analytics Research Unit, University of the Witwatersrand, Johannesburg, South Africa
| | - Alison M Elliott
- Medical Research Council/Uganda Virus Research Institute and London School of Hygiene & Tropical Medicine Uganda Research Unit, Entebbe, Uganda
- MRC International Statistics and Epidemiology Group, London School of Hygiene and Tropical Medicine London, London, UK
| | - Gil McVean
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - Adrian V S Hill
- Centre for Human Genetics, University of Oxford, Oxford, UK
- The Jenner Institute, University of Oxford, Oxford, UK
| | - Manjinder S Sandhu
- Department of Epidemiology & Biostatistics, School of Public Health, Imperial College London, London, UK.
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Al-Eitan LN, ElMotasem MFM, Khair IY, Alahmad SZ. Vaccinomics: Paving the Way for Personalized Immunization. Curr Pharm Des 2024; 30:1031-1047. [PMID: 38898820 DOI: 10.2174/0113816128280417231204085137] [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: 09/02/2023] [Accepted: 11/15/2023] [Indexed: 06/21/2024]
Abstract
Vaccines are one of the most important medical advancements in human history. They have been successfully used to control and limit the spread of many of the lethal diseases that have plagued us, such as smallpox and polio. Previous vaccine design methodologies were based on the model of "isolate-inactivateinject", which amounts to giving the same vaccine dose to everyone susceptible to infection. In recent years, the importance of how the host genetic background alters vaccine response necessitated the introduction of vaccinomics, which is aimed at studying the variability of vaccine efficacy by associating genetic variability and immune response to vaccination. Despite the rapid developments in variant screening, data obtained from association studies is often inconclusive and cannot be used to guide the new generation of vaccines. This review aims to compile the polymorphisms in HLA and immune system genes and examine the link with their immune response to vaccination. The compiled data can be used to guide the development of new strategies for vaccination for vulnerable groups. Overall, the highly polymorphic HLA locus had the highest correlation with vaccine response variability for most of the studied vaccines, and it was linked to variation in multiple stages of the immune response to the vaccines for both humoral and cellular immunity. Designing new vaccine technologies and immunization regiments to accommodate for this variability is an important step for reaching a vaccinomics-based approach to vaccination.
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Affiliation(s)
- Laith Naser Al-Eitan
- Department of Biotechnology and Genetic Engineering, Jordan University of Science and Technology, Irbid 22110, Jordan
| | - Moh'd Fahmi Munib ElMotasem
- Department of Biotechnology and Genetic Engineering, Jordan University of Science and Technology, Irbid 22110, Jordan
| | - Iliya Yacoub Khair
- Department of Biotechnology and Genetic Engineering, Jordan University of Science and Technology, Irbid 22110, Jordan
| | - Saif Zuhair Alahmad
- Department of Biotechnology and Genetic Engineering, Jordan University of Science and Technology, Irbid 22110, Jordan
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3
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Haslund MM, Sørensen JK, Graff Stensballe L. Genetics and measles, mumps and rubella vaccine response in childhood and adolescence-A systematic review. Scand J Immunol 2023; 97:e13266. [PMID: 38157324 DOI: 10.1111/sji.13266] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 02/20/2023] [Accepted: 03/14/2023] [Indexed: 04/03/2023]
Abstract
Measles, mumps and rubella (MMR) are contagious infectious diseases that can be prevented by immunization. However, MMR infections can occur in previously immunized individuals. The vaccine response is, among other factors, influenced by the combined effects of many genes. This systematic review investigates the genetic influence on measles, mumps and rubella antibody responses after childhood vaccination. In accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), systematic literature searches were conducted in the medical databases PubMed, EMBASE and PsycINFO. Search strings were adjusted for each database. Citations were included if they measured and compared the immune response with immunogenetics after vaccination with a vaccine containing one or more of the following components: measles, mumps and/or rubella, MMR. The measure of vaccine response studied was antibodies after vaccination. Forty-eight articles were included in the final analysis. The results suggest that genetic determinants, including host genes, and single nucleotide polymorphisms in immune-related genes influence the MMR antibody responses after vaccination. Specifically, replicated associations were found between HLA, CD46, RARB, IRF9, EIF2AK2, cytokine genes and MMR vaccine-induced humoral immune responses. This knowledge can be useful in understanding and predicting immune responses and may have implications for future vaccine strategies.
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Affiliation(s)
- Marie Mykløy Haslund
- The Child and Adolescent Clinic, The Juliane Marie Center, The Danish National University Hospital "Rigshospitalet", 9-Blegdamsvej, DK-2100, Copenhagen East, Denmark
| | - Jesper Kiehn Sørensen
- The Child and Adolescent Clinic, The Juliane Marie Center, The Danish National University Hospital "Rigshospitalet", 9-Blegdamsvej, DK-2100, Copenhagen East, Denmark
| | - Lone Graff Stensballe
- The Child and Adolescent Clinic, The Juliane Marie Center, The Danish National University Hospital "Rigshospitalet", 9-Blegdamsvej, DK-2100, Copenhagen East, Denmark
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Dudley MZ, Gerber JE, Budigan Ni H, Blunt M, Holroyd TA, Carleton BC, Poland GA, Salmon DA. Vaccinomics: A scoping review. Vaccine 2023; 41:2357-2367. [PMID: 36803903 PMCID: PMC10065969 DOI: 10.1016/j.vaccine.2023.02.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 12/24/2022] [Accepted: 02/03/2023] [Indexed: 02/21/2023]
Abstract
BACKGROUND This scoping review summarizes a key aspect of vaccinomics by collating known associations between heterogeneity in human genetics and vaccine immunogenicity and safety. METHODS We searched PubMed for articles in English using terms covering vaccines routinely recommended to the general US population, their effects, and genetics/genomics. Included studies were controlled and demonstrated statistically significant associations with vaccine immunogenicity or safety. Studies of Pandemrix®, an influenza vaccine previously used in Europe, were also included, due to its widely publicized genetically mediated association with narcolepsy. FINDINGS Of the 2,300 articles manually screened, 214 were included for data extraction. Six included articles examined genetic influences on vaccine safety; the rest examined vaccine immunogenicity. Hepatitis B vaccine immunogenicity was reported in 92 articles and associated with 277 genetic determinants across 117 genes. Thirty-three articles identified 291 genetic determinants across 118 genes associated with measles vaccine immunogenicity, 22 articles identified 311 genetic determinants across 110 genes associated with rubella vaccine immunogenicity, and 25 articles identified 48 genetic determinants across 34 genes associated with influenza vaccine immunogenicity. Other vaccines had fewer than 10 studies each identifying genetic determinants of their immunogenicity. Genetic associations were reported with 4 adverse events following influenza vaccination (narcolepsy, GBS, GCA/PMR, high temperature) and 2 adverse events following measles vaccination (fever, febrile seizure). CONCLUSION This scoping review identified numerous genetic associations with vaccine immunogenicity and several genetic associations with vaccine safety. Most associations were only reported in one study. This illustrates both the potential of and need for investment in vaccinomics. Current research in this field is focused on systems and genetic-based studies designed to identify risk signatures for serious vaccine reactions or diminished vaccine immunogenicity. Such research could bolster our ability to develop safer and more effective vaccines.
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Affiliation(s)
- Matthew Z Dudley
- Department of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA; Institute for Vaccine Safety, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
| | - Jennifer E Gerber
- Department of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA; Survey Research Division, RTI International, Washington, DC, USA
| | - Haley Budigan Ni
- Department of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA; Office of Health Equity, California Department of Public Health, Richmond, CA, USA
| | - Madeleine Blunt
- Department of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Taylor A Holroyd
- Department of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA; International Vaccine Access Center, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Bruce C Carleton
- Division of Translational Therapeutics, Department of Pediatrics, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada; Pharmaceutical Outcomes Programme, BC Children's Hospital, Vancouver, BC, Canada; BC Children's Hospital Research Institute, Vancouver, BC, Canada
| | - Gregory A Poland
- Division of General Internal Medicine, Mayo Clinic, Rochester, MN, USA; Mayo Vaccine Research Group, Mayo Clinic, Rochester, MN, USA
| | - Daniel A Salmon
- Department of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA; Institute for Vaccine Safety, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA; Department of Health, Behavior & Society, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
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5
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Zhang L, Ghosh SK, Basavarajappa SC, Chen Y, Shrestha P, Penfield J, Brewer A, Ramakrishnan P, Buck M, Weinberg A. HBD-2 binds SARS-CoV-2 RBD and blocks viral entry: Strategy to combat COVID-19. iScience 2022; 25:103856. [PMID: 35128350 PMCID: PMC8808565 DOI: 10.1016/j.isci.2022.103856] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Revised: 09/14/2021] [Accepted: 01/28/2022] [Indexed: 12/26/2022] Open
Abstract
New approaches to complement vaccination are needed to combat the spread of SARS-CoV-2 and stop COVID-19-related deaths and medical complications. Human beta defensin 2 (hBD-2) is a naturally occurring epithelial cell-derived host defense peptide that has anti-viral properties. Our comprehensive in-silico studies demonstrate that hBD-2 binds the site on the CoV-2-RBD that docks with the ACE2 receptor. Biophysical measurements confirm that hBD-2 indeed binds to the CoV-2-receptor-binding domain (RBD) (KD ∼ 2μM by surface plasmon resonance), preventing it from binding to ACE2-expressing cells. Importantly, hBD-2 shows specificity by blocking CoV-2/spike pseudoviral infection, but not VSVG-mediated infection, of ACE2-expressing human cells with an IC50 of 2.8 ± 0.4 μM. These promising findings offer opportunities to develop hBD-2 and/or its derivatives and mimetics to safely and effectively use as agents to prevent SARS-CoV-2 infection.
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Affiliation(s)
- Liqun Zhang
- Chemical Engineering, Tennessee Technological University, Cookeville, TN 38505, USA
| | - Santosh K. Ghosh
- Biological Sciences, School of Dental Medicine, Case Western Reserve University, Cleveland, OH 44106, USA
| | | | - Yinghua Chen
- Department of Physiology and Biophysics, School of Medicine, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Pravesh Shrestha
- Department of Physiology and Biophysics, School of Medicine, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Jackson Penfield
- Chemical Engineering, Tennessee Technological University, Cookeville, TN 38505, USA
| | - Ann Brewer
- Chemical Engineering, Tennessee Technological University, Cookeville, TN 38505, USA
| | - Parameswaran Ramakrishnan
- Department of Pathology, School of Medicine, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Matthias Buck
- Department of Physiology and Biophysics, School of Medicine, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Aaron Weinberg
- Biological Sciences, School of Dental Medicine, Case Western Reserve University, Cleveland, OH 44106, USA
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6
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Sakaue S, Hosomichi K, Hirata J, Nakaoka H, Yamazaki K, Yawata M, Yawata N, Naito T, Umeno J, Kawaguchi T, Matsui T, Motoya S, Suzuki Y, Inoko H, Tajima A, Morisaki T, Matsuda K, Kamatani Y, Yamamoto K, Inoue I, Okada Y. Decoding the diversity of killer immunoglobulin-like receptors by deep sequencing and a high-resolution imputation method. CELL GENOMICS 2022; 2:100101. [PMID: 36777335 PMCID: PMC9903714 DOI: 10.1016/j.xgen.2022.100101] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 08/07/2021] [Accepted: 02/02/2022] [Indexed: 12/12/2022]
Abstract
The killer cell immunoglobulin-like receptor (KIR) recognizes human leukocyte antigen (HLA) class I molecules and modulates the function of natural killer cells. Despite its role in immunity, the complex genomic structure has limited a deep understanding of the KIR genomic landscape. Here we conduct deep sequencing of 16 KIR genes in 1,173 individuals. We devise a bioinformatics pipeline incorporating copy number estimation and insertion or deletion (indel) calling for high-resolution KIR genotyping. We define 118 alleles in 13 genes and demonstrate a linkage disequilibrium structure within and across KIR centromeric and telomeric regions. We construct a KIR imputation reference panel (nreference = 689, imputation accuracy = 99.7%), apply it to biobank genotype (ntotal = 169,907), and perform phenome-wide association studies of 85 traits. We observe a dearth of genome-wide significant associations, even in immune traits implicated previously to be associated with KIR (the smallest p = 1.5 × 10-4). Our pipeline presents a broadly applicable framework to evaluate innate immunity in large-scale datasets.
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Affiliation(s)
- Saori Sakaue
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan
- Center for Data Sciences, Harvard Medical School, Boston, MA 02115, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan
- Corresponding author
| | - Kazuyoshi Hosomichi
- Department of Bioinformatics and Genomics, Graduate School of Advanced Preventive Medical Sciences, Kanazawa University, Ishikawa 920-8640, Japan
| | - Jun Hirata
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Hirofumi Nakaoka
- Human Genetics Laboratory, National Institute of Genetics, Shizuoka 411-8540, Japan
| | - Keiko Yamazaki
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan
- Department of Public Health, Graduate School of Medicine, Chiba University, Chiba 260-8670, Japan
- Laboratory for Autoimmune Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan
| | - Makoto Yawata
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, and National University Health System, Singapore 119228, Singapore
- NUSMed Immunology Translational Research Programme, and Immunology Programme, Life Sciences Institute, National University of Singapore, Singapore 117456, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore 117609, Singapore
- International Research Center for Medical Sciences, Kumamoto University, Kumamoto 860-0811, Japan
| | - Nobuyo Yawata
- Department of Ocular Pathology and Imaging Science, Kyushu University, 812-8582, Japan
- Singapore Eye Research Institute, Singapore 169856, Singapore
- Duke-NUS Medical School, Singapore 169857, Singapore
| | - Tatsuhiko Naito
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan
- Department of Neurology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Junji Umeno
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
| | - Takaaki Kawaguchi
- Division of Gastroenterology, Department of Medicine, Tokyo Yamate Medical Center, Tokyo 169-0073, Japan
| | - Toshiyuki Matsui
- Department of Gastroenterology, Fukuoka University Chikushi Hospital, Fukuoka 818-0067, Japan
| | - Satoshi Motoya
- Department of Gastroenterology, Sapporo-Kosei General Hospital, Sapporo 060-0033, Japan
| | - Yasuo Suzuki
- Department of Internal Medicine, Faculty of Medicine, Toho University, Chiba 274-8510, Japan
| | | | - Atsushi Tajima
- Department of Bioinformatics and Genomics, Graduate School of Advanced Preventive Medical Sciences, Kanazawa University, Ishikawa 920-8640, Japan
| | - Takayuki Morisaki
- Division of Molecular Pathology, The Institute of Medical Science, The University of Tokyo, Tokyo 108-8639, Japan
| | - Koichi Matsuda
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo 108-8639, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan
- Laboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo 108-8639, Japan
| | - Kazuhiko Yamamoto
- Laboratory for Autoimmune Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan
| | - Ituro Inoue
- Human Genetics Laboratory, National Institute of Genetics, Shizuoka 411-8540, Japan
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita 565-0871, Japan
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita 565-0871, Japan
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan
- Center for Infectious Disease Education and Research (CiDER), Osaka University, Suita 565-0871, Japan
- Corresponding author
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7
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Moore SM. Challenges of Rabies Serology: Defining Context of Interpretation. Viruses 2021; 13:1516. [PMID: 34452381 PMCID: PMC8402924 DOI: 10.3390/v13081516] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 07/27/2021] [Accepted: 07/29/2021] [Indexed: 12/25/2022] Open
Abstract
The case fatality rate of rabies, nearly 100%, is one of the most unique characteristic of this ancient virus infection. The crucial role rabies virus neutralizing antibody plays in protection is both well established and explanation of why rabies serology is important. Various laboratory methods can and have been used but serum neutralization methods have long been the gold standard due to the ability to measure function (neutralization), however these methods can be difficult to perform for several reasons. Assays such as enzyme linked absorbance assays (ELISA), indirect fluorescence antibody (IFA) and more recently lateral flow methods are in use. Interpretation of results can be problematic, not only between methods but also due to modifications of the same method that can lead to misinterpretations. A common assumption in review of laboratory test results is that different methods for the same component produce comparable results under all conditions or circumstances. Assumptions and misinterpretations provide the potential for detrimental decisions, ranging from regulatory to clinically related, and most importantly what 'level' is protective. Review of the common challenges in performance and interpretation of rabies serology and specific examples illuminate critical issues to consider when reviewing and applying results of rabies serological testing.
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Affiliation(s)
- Susan M Moore
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS 66506, USA
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8
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Ghosh SK, Weinberg A. Ramping Up Antimicrobial Peptides Against Severe Acute Respiratory Syndrome Coronavirus-2. Front Mol Biosci 2021; 8:620806. [PMID: 34235176 PMCID: PMC8255374 DOI: 10.3389/fmolb.2021.620806] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Accepted: 05/27/2021] [Indexed: 12/17/2022] Open
Abstract
Human-derived antimicrobial peptides (AMPs), such as defensins and cathelicidin LL-37, are members of the innate immune system and play a crucial role in early pulmonary defense against viruses. These AMPs achieve viral inhibition through a variety of mechanisms including, but not limited to, direct binding to virions, binding to and modulating host cell-surface receptors, blocking viral replication, and aggregation of viral particles and indirectly by functioning as chemokines to enhance or curb adaptive immune responses. Given the fact that we are in a pandemic of unprecedented severity and the urgent need for therapeutic options to combat severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), naturally expressed AMPs and their derivatives have the potential to combat coronavirus disease 2019 (COVID-19) and impede viral infectivity in various ways. Provided the fact that development of effective treatments is an urgent public health priority, AMPs and their derivatives are being explored as potential prophylactic and therapeutic candidates. Additionally, cell-based platforms such as human mesenchymal stem cell (hMSC) therapy are showing success in saving the lives of severely ill patients infected with SARS-CoV-2. This could be partially due to AMPs released from hMSCs that also act as immunological rheostats to modulate the host inflammatory response. This review highlights the utilization of AMPs in strategies that could be implemented as novel therapeutics, either alone or in combination with other platforms, to treat CoV-2-infected individuals.
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Affiliation(s)
| | - Aaron Weinberg
- Department of Biological Sciences, Case Western Reserve University, Cleveland, OH, United States
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9
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Klein NP, Zerbo O, Goddard K, Wang W, Fohner AE, Wiesner A, Shokoohi V, Coller J, Bok K, Gans HA. Genetic associations with a fever after measles-containing vaccines. Hum Vaccin Immunother 2021; 17:1763-1769. [PMID: 33351701 PMCID: PMC8115494 DOI: 10.1080/21645515.2020.1849520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
Children have elevated fever risk 1 to 2 weeks after the first dose of a measles-containing vaccine (MCV), which is likely affected by genetic, immunologic, and clinical factors. Fever after MCV is associated with febrile seizures, though may also be associated with higher measles antibody titers. This exploratory study investigated genetic and immunologic associations with a fever after MCV. Concurrent with a randomized Phase 3 clinical trial of 12–15-month-olds who received their first measles-mumps-rubella (MMR) vaccine in which parents recorded post-vaccination temperatures daily, we consented a subset to collect additional blood and performed human leukocyte antigens (HLA) typing. Association between fever 5–12 days after MMR (“MMR-associated”) and HLA type was assessed using logistic regression. We compared 42-day post-vaccination geometric mean titers (GMT) to measles between children who did and did not have fever using a t-test. We enrolled 86 children and performed HLA typing on 82; 13 (15.1%) had MMR-associated fever. Logistic regressions identified associations between MMR-associated fever and HLA Class I loci A-29:02 (P = .036), B-57:01 (P = .018), C-06:02 (P = .006), C-14:02 (P = .022), and Class II loci DRB1-15 (P = .045). However, Bonferroni's adjustment for multiple comparisons suggests that these associations could have been due to chance. Ninety-eight percent of children had protective antibody titers to measles; however, GMT was higher among those with fever compared with children without fever (P = .006). Fever after the measles vaccine correlated with genetic factors and higher immune response. This study suggests a possible genetic susceptibility to MMR-associated fever.
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Affiliation(s)
- Nicola P Klein
- Kaiser Permanente Vaccine Study Center, Oakland, CA, USA
| | - Ousseny Zerbo
- Department of Epidemiology & Institute of Public Health Genetics, University of Washington, Seattle, WA, USA
| | | | - Weiqi Wang
- School of Medicine, Stanford University, Stanford, CA, USA
| | - Alison E Fohner
- Kaiser Permanente Vaccine Study Center, Oakland, CA, USA.,Department of Epidemiology & Institute of Public Health Genetics, University of Washington, Seattle, WA, USA
| | - Amy Wiesner
- Kaiser Permanente Vaccine Study Center, Oakland, CA, USA
| | - Vida Shokoohi
- School of Medicine, Stanford University, Stanford, CA, USA
| | - John Coller
- School of Medicine, Stanford University, Stanford, CA, USA
| | - Karin Bok
- National Vaccine Program Office, US. Health and Human Services, Washington D.C., USA
| | - Hayley A Gans
- School of Medicine, Stanford University, Stanford, CA, USA
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10
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Zhang L, Ghosh SK, Basavarajappa SC, Muller-Greven J, Penfield J, Brewer A, Ramakrishnan P, Buck M, Weinberg A. Molecular dynamics simulations and functional studies reveal that hBD-2 binds SARS-CoV-2 spike RBD and blocks viral entry into ACE2 expressing cells. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2021:2021.01.07.425621. [PMID: 33442698 PMCID: PMC7805467 DOI: 10.1101/2021.01.07.425621] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
New approaches to complement vaccination are needed to combat the spread of SARS-CoV-2 and stop COVID-19 related deaths and long-term medical complications. Human beta defensin 2 (hBD-2) is a naturally occurring epithelial cell derived host defense peptide that has antiviral properties. Our comprehensive in-silico studies demonstrate that hBD-2 binds the site on the CoV-2-RBD that docks with the ACE2 receptor. Biophysical and biochemical assays confirm that hBD-2 indeed binds to the CoV-2-receptor binding domain (RBD) (KD ~ 300 nM), preventing it from binding to ACE2 expressing cells. Importantly, hBD-2 shows specificity by blocking CoV-2/spike pseudoviral infection, but not VSV-G mediated infection, of ACE2 expressing human cells with an IC50 of 2.4± 0.1 μM. These promising findings offer opportunities to develop hBD-2 and/or its derivatives and mimetics to safely and effectively use as novel agents to prevent SARS-CoV-2 infection.
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Affiliation(s)
- Liqun Zhang
- Chemical Engineering, Tennessee Technological University, Cookeville, TN 38505
- contributed equally
| | - Santosh K. Ghosh
- Biological Sciences, School of Dental Medicine, Case Western Reserve University, Cleveland, OH 44124
- contributed equally
| | - Shrikanth C. Basavarajappa
- Department of Pathology, School of Medicine, Case Western Reserve University, Cleveland, OH 44124
- contributed equally
| | - Jeannine Muller-Greven
- Department of Physiology and Biophysics, School of Medicine, Case Western Reserve University, Cleveland, OH 44124
| | - Jackson Penfield
- Chemical Engineering, Tennessee Technological University, Cookeville, TN 38505
| | - Ann Brewer
- Chemical Engineering, Tennessee Technological University, Cookeville, TN 38505
| | | | - Matthias Buck
- Department of Physiology and Biophysics, School of Medicine, Case Western Reserve University, Cleveland, OH 44124
| | - Aaron Weinberg
- Biological Sciences, School of Dental Medicine, Case Western Reserve University, Cleveland, OH 44124
- Lead contact
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11
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Kennedy RB, Haralambieva IH, Ovsyannikova IG, Voigt EA, Larrabee BR, Schaid DJ, Zimmermann MT, Oberg AL, Poland GA. Polymorphisms in STING Affect Human Innate Immune Responses to Poxviruses. Front Immunol 2020; 11:567348. [PMID: 33154747 PMCID: PMC7591719 DOI: 10.3389/fimmu.2020.567348] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Accepted: 09/24/2020] [Indexed: 01/22/2023] Open
Abstract
We conducted a large genome-wide association study (GWAS) of the immune responses to primary smallpox vaccination in a combined cohort of 1,653 subjects. We did not observe any polymorphisms associated with standard vaccine response outcomes (e.g., neutralizing antibody, T cell ELISPOT response, or T cell cytokine production); however, we did identify a cluster of SNPs on chromosome 5 (5q31.2) that were significantly associated (p-value: 1.3 x 10-12 - 1.5x10-36) with IFNα response to in vitro poxvirus stimulation. Examination of these SNPs led to the functional testing of rs1131769, a non-synonymous SNP in TMEM173 causing an Arg-to-His change at position 232 in the STING protein-a major regulator of innate immune responses to viral infections. Our findings demonstrate differences in the ability of the two STING variants to phosphorylate the downstream intermediates TBK1 and IRF3 in response to multiple STING ligands. Further downstream in the STING pathway, we observed significantly reduced expression of type I IFNs (including IFNα) and IFN-response genes in cells carrying the H232 variant. Subsequent molecular modeling of both alleles predicted altered ligand binding characteristics between the two variants, providing a potential mechanism underlying differences in inter-individual responses to poxvirus infection. Our data indicate that possession of the H232 variant may impair STING-mediated innate immunity to poxviruses. These results clarify prior studies evaluating functional effects of genetic variants in TMEM173 and provide novel data regarding genetic control of poxvirus immunity.
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Affiliation(s)
- Richard B. Kennedy
- Mayo Clinic Vaccine Research Group, Mayo Clinic, Rochester, MN, United States
| | | | | | - Emily A. Voigt
- Mayo Clinic Vaccine Research Group, Mayo Clinic, Rochester, MN, United States
| | - Beth R. Larrabee
- Division of Biomedical Statistics and Informatics, Department of Health Science Research, Mayo Clinic, Rochester, MN, United States
| | - Daniel J. Schaid
- Division of Biomedical Statistics and Informatics, Department of Health Science Research, Mayo Clinic, Rochester, MN, United States
| | - Michael T. Zimmermann
- Bioinformatics Research and Development Laboratory, Genomics Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Ann L. Oberg
- Division of Biomedical Statistics and Informatics, Department of Health Science Research, Mayo Clinic, Rochester, MN, United States
| | - Gregory A. Poland
- Mayo Clinic Vaccine Research Group, Mayo Clinic, Rochester, MN, United States
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12
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Bartholomeus E, De Neuter N, Suls A, Elias G, van der Heijden S, Keersmaekers N, Jansens H, Van Tendeloo V, Beutels P, Laukens K, Ogunjimi B, Mortier G, Meysman P, Van Damme P. Transcriptomic profiling of different responder types in adults after a Priorix® vaccination. Vaccine 2020; 38:3218-3226. [PMID: 32165045 DOI: 10.1016/j.vaccine.2020.03.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Revised: 02/24/2020] [Accepted: 03/01/2020] [Indexed: 12/12/2022]
Abstract
Thanks to the recommendation of a combined Measles/Mumps/Rubella (MMR) vaccine, like Priorix®, these childhood diseases are less common now. This is beneficial to limit the spread of these diseases and work towards their elimination. However, the measles, mumps and rubella antibody titers show a large variability in short- and long-term immunity. The recent outbreaks worldwide of measles and mumps and previous studies, which mostly focused on only one of the three virus responses, illustrate that there is a clear need for better understanding the immune responses after vaccination. Our healthy cohort was already primed with the MMR antigens in their childhood. In this study, the adult volunteers received one Priorix® vaccine dose at day 0. First, we defined 4 different groups of responders, based on their antibody titers' evolution over 4 time points (Day 0, 21, 150 and 365). This showed a high variability within and between individuals. Second, we determined transcriptome profiles using 3'mRNA sequencing at day 0, 3 and 7. Using two analytical approaches, "one response group per time point" and "a time comparison per response group", we correlated the short-term gene expression profiles to the different response groups. In general, the list of differentially expressed genes is limited, however, most of them are clearly immune-related and upregulated at day 3 and 7, compared to the baseline day 0. Depending on the specific response group there are overlapping signatures for two of the three viruses. Antibody titers and transcriptomics data showed that an additional Priorix vaccination does not facilitate an equal immune response against the 3 viruses or among different vaccine recipients.
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Affiliation(s)
- Esther Bartholomeus
- Department of Medical Genetics, University of Antwerp/Antwerp University Hospital, Edegem, Belgium; AUDACIS, Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing, University of Antwerp, Antwerp, Belgium.
| | - Nicolas De Neuter
- AUDACIS, Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing, University of Antwerp, Antwerp, Belgium; Adrem Data Lab, Department of Mathematics and Computer Science, University of Antwerp, Antwerp, Belgium; Biomedical Informatics Research Network Antwerp (biomina), University of Antwerp, Antwerp, Belgium
| | - Arvid Suls
- Department of Medical Genetics, University of Antwerp/Antwerp University Hospital, Edegem, Belgium; AUDACIS, Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing, University of Antwerp, Antwerp, Belgium
| | - George Elias
- AUDACIS, Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing, University of Antwerp, Antwerp, Belgium; Laboratory of Experimental Hematology (LEH), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Sanne van der Heijden
- Laboratory of Experimental Hematology (LEH), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Nina Keersmaekers
- AUDACIS, Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing, University of Antwerp, Antwerp, Belgium; Centre for Health Economics Research & Modeling Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Hilde Jansens
- Department of Laboratory Medicine, Antwerp University Hospital, Edegem, Belgium
| | - Viggo Van Tendeloo
- AUDACIS, Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing, University of Antwerp, Antwerp, Belgium; Laboratory of Experimental Hematology (LEH), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Philippe Beutels
- AUDACIS, Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing, University of Antwerp, Antwerp, Belgium; Centre for Health Economics Research & Modeling Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Kris Laukens
- AUDACIS, Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing, University of Antwerp, Antwerp, Belgium; Adrem Data Lab, Department of Mathematics and Computer Science, University of Antwerp, Antwerp, Belgium; Biomedical Informatics Research Network Antwerp (biomina), University of Antwerp, Antwerp, Belgium
| | - Benson Ogunjimi
- AUDACIS, Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing, University of Antwerp, Antwerp, Belgium; Laboratory of Experimental Hematology (LEH), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium; Centre for Health Economics Research & Modeling Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium; Department of Paediatrics, Antwerp University Hospital, Edegem, Belgium.
| | - Geert Mortier
- Department of Medical Genetics, University of Antwerp/Antwerp University Hospital, Edegem, Belgium; AUDACIS, Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing, University of Antwerp, Antwerp, Belgium
| | - Pieter Meysman
- AUDACIS, Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing, University of Antwerp, Antwerp, Belgium; Adrem Data Lab, Department of Mathematics and Computer Science, University of Antwerp, Antwerp, Belgium; Biomedical Informatics Research Network Antwerp (biomina), University of Antwerp, Antwerp, Belgium
| | - Pierre Van Damme
- AUDACIS, Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing, University of Antwerp, Antwerp, Belgium; Centre for the Evaluation of Vaccination (CEV), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
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13
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Kurata T, Kanbayashi D, Egawa K, Kinoshita M, Yoshida H, Miyazono M, Motomura K. A measles outbreak from an index case with immunologically confirmed secondary vaccine failure. Vaccine 2020; 38:1467-1475. [DOI: 10.1016/j.vaccine.2019.11.075] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Revised: 11/19/2019] [Accepted: 11/27/2019] [Indexed: 02/07/2023]
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14
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Qi J, Du L, Deng J, Qin Y, Su G, Hou S, Lv M, Zhang Q, Kijlstra A, Yang P. Replication of Genome-Wide Association Analysis Identifies New Susceptibility Loci at Long Noncoding RNA Regions for Vogt-Koyanagi-Harada Disease. ACTA ACUST UNITED AC 2019; 60:4820-4829. [PMID: 31747682 DOI: 10.1167/iovs.19-27708] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Affiliation(s)
- Jian Qi
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, and Chongqing Eye Institute, Chongqing, The People's Republic of China
| | - Liping Du
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, and Chongqing Eye Institute, Chongqing, The People's Republic of China
| | - Jing Deng
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, and Chongqing Eye Institute, Chongqing, The People's Republic of China
| | - Yang Qin
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, and Chongqing Eye Institute, Chongqing, The People's Republic of China
| | - Guannan Su
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, and Chongqing Eye Institute, Chongqing, The People's Republic of China
| | - Shengping Hou
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, and Chongqing Eye Institute, Chongqing, The People's Republic of China
| | - Meng Lv
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, and Chongqing Eye Institute, Chongqing, The People's Republic of China
| | - Qi Zhang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, and Chongqing Eye Institute, Chongqing, The People's Republic of China
| | - Aize Kijlstra
- University Eye Clinic Maastricht, Maastricht, The Netherlands
| | - Peizeng Yang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, and Chongqing Eye Institute, Chongqing, The People's Republic of China
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15
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Yao Y, Yang H, Shi L, Liu S, Li C, Chen J, Zhou Z, Sun M, Shi L. HLA Class II Genes HLA-DRB1, HLA-DPB1, and HLA-DQB1 Are Associated With the Antibody Response to Inactivated Japanese Encephalitis Vaccine. Front Immunol 2019; 10:428. [PMID: 30906300 PMCID: PMC6418001 DOI: 10.3389/fimmu.2019.00428] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Accepted: 02/18/2019] [Indexed: 01/31/2023] Open
Abstract
Aim: The objective of this study was to evaluate the association of the human leukocyte antigen (HLA) class II genes HLA-DRB1, HLA-DPB1, and HLA-DQB1 with the humoral immune response elicited by inactivated Japanese encephalitis (JE) vaccine (IJEV). Methods: A total of 373 individuals aged 3–12 years in the Inner Mongolia Autonomous Region in China, who received two doses of IJEV at 0 and 7 days, were enrolled in the current study. Based on the individuals' specific JE virus (JEV)-neutralizing antibodies (NAbs), they were divided into a seropositive and a seronegative group. HLA-DRB1, HLA-DPB1, and HLA-DQB1 were genotyped using a sequencing-based typing method. Next, the association of the HLA class II genes and their haplotypes with antibody response was evaluated. Results: Based on NAbs, a total of 161 individuals were classified as seropositive and 212 as seronegative. DQB1*02:01 was significantly associated with JEV seropositivity (P < 0.001, OR = 0.364, 95% CI: 0.221–0.600), while DQB1*02:02 was significantly associated with JEV seronegativity (P = 5.03 × 10−6, OR = 7.341, 95% CI: 2.876–18.736). The haplotypes DRB1*07:01-DPB1*04:01-DQB1*02:01, DRB1*15:01-DPB1*02:01-DQB1*06:02, DRB1*07:01-DQB1*02:01, and DPB1*02:01-DQB1*06:02 were very frequent in the seropositive group, while DRB1*07:01-DPB1*17:01-DQB1*02:02, DRB1*07:01-DQB1*02:02, and DPB1*17:01-DQB1*02:02 were very frequent in the seronegative group. The presence of DRB1*01:01, DRB1*04:05, DRB1*09:01, DRB1*12:02, DRB1*13:02, and DRB1*14:01 was associated with a higher geometric mean titer (GMT) of NAbs than that of DRB1*11:01 at the DRB1 locus (P < 0.05). At the DPB1 locus, the presence of DPB1*05:01 was associated with higher GMTs than that of DPB1*02:01 and DPB1*13:01 (P < 0.05), and the presence of DPB1*04:01 and DPB1*09:01 was associated with higher GMTs than that of DPB1*13:01 (P < 0.05). Conclusions: The present study suggests that HLA class II genes may influence the antibody response to IJEV.
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Affiliation(s)
- Yufeng Yao
- Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, China
| | - Huijuan Yang
- Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, China.,Yunnan Key Laboratory of Vaccine Research and Development on Severe Infectious Disease, Kunming, China
| | - Lei Shi
- Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, China.,Yunnan Key Laboratory of Vaccine Research and Development on Severe Infectious Disease, Kunming, China
| | - Shuyuan Liu
- Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, China
| | - Chuanying Li
- Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, China
| | - Jun Chen
- Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, China
| | - Ziyun Zhou
- Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, China
| | - Mingbo Sun
- Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, China.,Yunnan Key Laboratory of Vaccine Research and Development on Severe Infectious Disease, Kunming, China
| | - Li Shi
- Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, China
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16
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Haralambieva IH, Kennedy RB, Ovsyannikova IG, Schaid DJ, Poland GA. Current perspectives in assessing humoral immunity after measles vaccination. Expert Rev Vaccines 2019; 18:75-87. [PMID: 30585753 PMCID: PMC6413513 DOI: 10.1080/14760584.2019.1559063] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2018] [Accepted: 12/10/2018] [Indexed: 02/07/2023]
Abstract
INTRODUCTION Repeated measles outbreaks in countries with relatively high vaccine coverage are mainly due to failure to vaccinate and importation; however, cases in immunized individuals exist raising questions about suboptimal measles vaccine-induced humoral immunity and/or waning immunity in a low measles-exposure environment. AREAS COVERED The plaque reduction neutralization measurement of functional measles-specific antibodies correlates with protection is the gold standard in measles serology, but it does not assess cellular-immune or other parameters that may be associated with durable and/or protective immunity after vaccination. Additional correlates of protection and long-term immunity and new determinants/signatures of vaccine responsiveness such as specific CD46 and IFI44L genetic variants associated with neutralizing antibody titers after measles vaccination are under investigation. Current and future systems biology studies, coupled with new technology/assays and analytical approaches, will lead to an increasingly sophisticated understanding of measles vaccine-induced humoral immunity and will identify 'signatures' of protective and durable immune responses. EXPERT OPINION This will translate into the development of highly predictive assays of measles vaccine efficacy, effectiveness, and durability for prospective identification of potential low/non-responders and susceptible individuals who require additional vaccine doses. Such new advances may drive insights into the development of new/improved vaccine formulations and delivery systems.
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Affiliation(s)
| | - Richard B Kennedy
- a Mayo Clinic Vaccine Research Group , Mayo Clinic , Rochester , MN , USA
| | | | - Daniel J Schaid
- a Mayo Clinic Vaccine Research Group , Mayo Clinic , Rochester , MN , USA
- b Department of Health Sciences Research , Mayo Clinic , Rochester , MN , USA
| | - Gregory A Poland
- a Mayo Clinic Vaccine Research Group , Mayo Clinic , Rochester , MN , USA
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17
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Liu Y, Guo T, Yu Q, Zhang H, Du J, Zhang Y, Xia S, Yang H, Li Q. Association of human leukocyte antigen alleles and supertypes with immunogenicity of oral rotavirus vaccine given to infants in China. Medicine (Baltimore) 2018; 97:e12706. [PMID: 30290669 PMCID: PMC6200448 DOI: 10.1097/md.0000000000012706] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
Rotavirus (RV) vaccines show distinct immunogenicity in dozens of clinical trials, which is associated with multiple host and environmental factors. Previous research has demonstrated that the highly polymorphic human leukocyte antigen (HLA) system plays an essential role in regulating immune response to a variety of vaccines. This study aims to investigate the relationship between HLA polymorphisms and immunogenicity of RV vaccine.A nested case-control study was carried out among infants enrolled in phase III clinical trial of trivalent human-lamb reassortant vaccine (RV3) in Henan province, China. Serum RV specific immunoglobulin A (RV-IgA) was detected before and after a 3-dose vaccination series, followed by calculation of seroconversion rates. Seroconversion was defined as a 4-fold or greater increase in RV-IgA titers between pre-vaccination and 1-month post-dose 3 vaccination. The infants who seroconverted were defined as responders, and the others without seroconversion were considered as non-responders. Their HLA genotypes were obtained by using the sequence-based typing method. The HLA allele and supertype frequencies of 2 groups were analyzed statistically.Eighty-three of 133 infants seroconverted after vaccination. Twenty-one HLA-A, 45 HLA-B, 24 HLA-Cw, 29 HLA-DRB1 and 16 HLA-DQB1 distinct alleles were detected. The frequency of HLA-B4001 (corrected P = .01, adjusted OR = 0.152, 95% CI = 0.048-0.475) in non-responder group was significantly higher than that in responder group. Furthermore, significant association was found between HLA-B44 supertype (corrected P = .02, adjusted OR = 0.414, 95% CI = 0.225-0.763) and RV non-response.Certain HLA allele (HLA-B4001) and supertype (HLA-B44) are potentially associated with non-response after immunization with the novel RV3 vaccine in Chinese infants.
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Affiliation(s)
- Yueyue Liu
- Institute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming
- National Institutes for Food and Drug Control, Beijing, China
| | - Tai Guo
- National Institutes for Food and Drug Control, Beijing, China
| | - Qingchuan Yu
- National Institutes for Food and Drug Control, Beijing, China
| | - Haowen Zhang
- School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, GA
| | - Jialiang Du
- National Institutes for Food and Drug Control, Beijing, China
| | - Yunqi Zhang
- Yunnan University, Kunming, China
- Department of Statistics, University of Wisconsin-Madison, Madison, WI
| | - Shengli Xia
- Henan Center for Disease Control and Prevention, Zhengzhou
| | - Huan Yang
- Center for Drug Evaluation, Beijing, China
| | - Qihan Li
- Institute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming
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18
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Rabies Virus Antibodies from Oral Vaccination as a Correlate of Protection against Lethal Infection in Wildlife. Trop Med Infect Dis 2017; 2:tropicalmed2030031. [PMID: 30270888 PMCID: PMC6082110 DOI: 10.3390/tropicalmed2030031] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2017] [Revised: 07/06/2017] [Accepted: 07/08/2017] [Indexed: 12/24/2022] Open
Abstract
Both cell-mediated and humoral immune effectors are important in combating rabies infection, although the humoral response receives greater attention regarding rabies prevention. The principle of preventive vaccination has been adopted for strategies of oral rabies vaccination (ORV) of wildlife reservoir populations for decades to control circulation of rabies virus in free-ranging hosts. There remains much debate about the levels of rabies antibodies (and the assays to measure them) that confer resistance to rabies virus. In this paper, data from published literature and our own unpublished animal studies on the induction of rabies binding and neutralizing antibodies following oral immunization of animals with live attenuated or recombinant rabies vaccines, are examined as correlates of protection against lethal rabies infection in captive challenge settings. Analysis of our studies suggests that, though serum neutralization test results are expected to reflect in vivo protection, the blocking enzyme linked immunosorbent assay (ELISA) result at Day 28 was a better predictor of survival. ELISA kits may have an advantage of greater precision and ability to compare results among different studies and laboratories based on the inherent standardization of the kit format. This paper examines current knowledge and study findings to guide meaningful interpretation of serology results in oral baiting monitoring.
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