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Garg N, Tellier G, Vale N, Kluge J, Portman JL, Markowska A, Tussey L. Phase 1, randomized, rater and participant blinded placebo-controlled study of the safety, reactogenicity, tolerability and immunogenicity of H1N1 influenza vaccine delivered by VX-103 (a MIMIX microneedle patch [MAP] system) in healthy adults. PLoS One 2024; 19:e0303450. [PMID: 38843267 PMCID: PMC11156369 DOI: 10.1371/journal.pone.0303450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 04/19/2024] [Indexed: 06/09/2024] Open
Abstract
BACKGROUND The MIMIX platform is a novel microneedle array patch (MAP) characterized by slowly dissolving microneedle tips that deploy into the dermis following patch application. We describe safety, reactogenicity, tolerability and immunogenicity for MIMIX MAP vaccination against influenza. METHODOLOGY The trial was a Phase 1, exploratory, first-in-human, parallel randomized, rater, participant, study analyst-blinded, placebo-controlled study in Canada. Forty-five healthy participants (18 to 39 years of age, inclusive) were randomized in a 1:1:1 ratio to receive either 15 μg or 7.5 μg of an H1N1 influenza vaccine, or placebo delivered via MIMIX MAP to the volar forearm. A statistician used a computer program to create a randomization scheme with a block size of 3. Post-treatment follow-up was approximately 180 days. Primary safety outcomes included the incidence of study product related serious adverse events and unsolicited events within 180 days, solicited application site and systemic reactogenicity through 7 days after administration and solicited application site erythema and/or pigmentation 14, 28, 56 and 180 days after administration. Immunogenicity outcomes included antibody titers and percentage of seroconversion (SCR) and seroprotection (SPR) rates determined by the hemagglutination inhibition (HAI) assay. Exploratory outcomes included virus microneutralization (MN) titers, durability and breadth of the immune response. The trial was registered with ClinicalTrials.gov, number NCT06125717. FINDINGS Between July 7, 2022 and March 13, 2023 45 participants were randomized to a treatment group. One participant was lost to follow up in the 15 μg group and 1 participant withdrew from the 7.5 μg dose group. Safety analyses included n = 15 per group, immunogenicity analyses included n = 14 for the 15 μg and 7.5 μg treatment groups and n = 15 for the placebo group. No SAEs were reported in any of the treatment groups. All treatment groups reported solicited local events within 7 days after vaccination, with mild (Grade 1) erythema being the most frequent symptom reported. Other local symptoms reported included mostly mild (Grade 1) induration/swelling, itching, pigmentation, skin flaking, and tenderness. Within 7 days after vaccination, 2 participants (4.4%) reported moderate (Grade 2) erythema, 1 participant (2.2%) reported moderate (Grade 2) induration/swelling, and 1 participant (2.2%) reported moderate (Grade 2) itching. There was an overall reduction in erythema and pigmentation reported on Days 15, 29, 57, and 180 among all treatment groups. Systemic symptoms reported within 7 days after vaccination, included mild (Grade 1) fatigue reported among all treatment groups, and mild (Grade 1) headache reported by 1 participant in the 7.5 μg treatment group. No study drug related severe symptoms were reported in the study. Group mean fold rises in HAI titers ranged between 8.7 and 12-fold, SCRs were >76% and SPRs were >92% for both VX-103 dose groups thereby fulfilling serological criteria established by the EMA and FDA for seasonal influenza vaccines. Longitudinal assessments demonstrate persistence of the immune response through at least Day 180. CONCLUSIONS The MIMIX MAP platform is safe, well tolerated and elicits robust antibody responses.
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Affiliation(s)
- Naveen Garg
- Centricity Research-Montreal, Point-Claire, Québec, Canada
| | - Guy Tellier
- Centricity Research-Mirabel, Mirabel, Québec, Canada
| | - Noah Vale
- Centricity Research-Toronto, Toronto, Ontario, Canada
| | - Jon Kluge
- Research and Development, Vaxess Technologies, Cambridge, Massachusetts, United States of America
| | - Jonathan L. Portman
- Research and Development, Vaxess Technologies, Cambridge, Massachusetts, United States of America
| | - Anna Markowska
- Research and Development, Vaxess Technologies, Cambridge, Massachusetts, United States of America
| | - Lynda Tussey
- Development and MAP Production, Vaxess Technologies, Woburn, Massachusetts, United States of America
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Wyse CA, Rudderham LM, Nordon EA, Ince LM, Coogan AN, Lopez LM. Circadian Variation in the Response to Vaccination: A Systematic Review and Evidence Appraisal. J Biol Rhythms 2024; 39:219-236. [PMID: 38459699 PMCID: PMC11141079 DOI: 10.1177/07487304241232447] [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] [Indexed: 03/10/2024]
Abstract
Molecular timing mechanisms known as circadian clocks drive endogenous 24-h rhythmicity in most physiological functions, including innate and adaptive immunity. Consequently, the response to immune challenge such as vaccination might depend on the time of day of exposure. This study assessed whether the time of day of vaccination (TODV) is associated with the subsequent immune and clinical response by conducting a systematic review of previous studies. The Cochrane Library, PubMed, Google, Medline, and Embase were searched for studies that reported TODV and immune and clinical outcomes, yielding 3114 studies, 23 of which met the inclusion criteria. The global severe acute respiratory syndrome coronavirus 2 vaccination program facilitated investigation of TODV and almost half of the studies included reported data collected during the COVID-19 pandemic. There was considerable heterogeneity in the demography of participants and type of vaccine, and most studies were biased by failure to account for immune status prior to vaccination, self-selection of vaccination time, or confounding factors such as sleep, chronotype, and shiftwork. The optimum TODV was concluded to be afternoon (5 studies), morning (5 studies), morning and afternoon (1 study), midday (1 study), and morning or late afternoon (1 study), with the remaining 10 studies reporting no effect. Further research is required to understand the relationship between TODV and subsequent immune outcome and whether any clinical benefit outweighs the potential effect of this intervention on vaccine uptake.
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Affiliation(s)
- Cathy A. Wyse
- Kathleen Lonsdale Institute for Human Health Research and Department of Biology, Maynooth University, Maynooth, Ireland
| | - Laura M. Rudderham
- Kathleen Lonsdale Institute for Human Health Research and Department of Biology, Maynooth University, Maynooth, Ireland
| | - Enya A. Nordon
- Kathleen Lonsdale Institute for Human Health Research and Department of Biology, Maynooth University, Maynooth, Ireland
| | - Louise M. Ince
- Division of Pharmacology and Toxicology, College of Pharmacy, The University of Texas at Austin, Austin, Texas, USA
| | - Andrew N. Coogan
- Kathleen Lonsdale Institute for Human Health Research and Department of Psychology, Maynooth University, Maynooth, Ireland
| | - Lorna M. Lopez
- Kathleen Lonsdale Institute for Human Health Research and Department of Biology, Maynooth University, Maynooth, Ireland
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Hodgson D, Sánchez-Ovando S, Carolan L, Liu Y, Hadiprodjo AJ, Fox A, Sullivan SG, Kucharski AJ. Quantifying the impact of pre-vaccination titre and vaccination history on influenza vaccine immunogenicity. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.01.24.24301614. [PMID: 38343865 PMCID: PMC10854332 DOI: 10.1101/2024.01.24.24301614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/18/2024]
Abstract
Epidemiological studies suggest that heterogeneity in influenza vaccine antibody response is associated with host factors, including pre-vaccination immune status, age, gender, and vaccination history. However, the pattern of reported associations varies between studies. To better understand the underlying influences on antibody responses, we combined host factors and vaccine-induced in-host antibody kinetics from a cohort study conducted across multiple seasons with a unified analysis framework. We developed a flexible individual-level Bayesian model to estimate associations and interactions between host factors, including pre-vaccine HAI titre, age, sex, vaccination history and study setting, and vaccine-induced HAI titre antibody boosting and waning. We applied the model to derive population-level and individual effects of post-vaccine antibody kinetics for vaccinating and circulating strains for A(H1N1) and A(H3N2) influenza subtypes. We found that post-vaccine HAI titre dynamics were significantly influenced by pre-vaccination HAI titre and vaccination history and that lower pre-vaccination HAI titre results in longer durations of seroprotection (HAI titre equal to 1:40 or higher). Consequently, for A(H1N1), our inference finds that the expected duration of seroprotection post-vaccination was 171 (95% Posterior Predictive Interval[PPI] 128-220) and 159 (95% PPI 120-200) days longer for those who are infrequently vaccinated (<2 vaccines in last five years) compared to those who are frequently vaccinated (2 or more vaccines in the last five years) at pre-vaccination HAI titre values of 1:10 and 1:20 respectively. In addition, we found significant differences in the empirical distributions that describe the individual-level duration of seroprotection for A(H1N1) circulating strains. In future, studies that rely on serological endpoints should include the impact of pre-vaccine HAI titre and prior vaccination status on seropositivity and seroconversion estimates, as these significantly influence an individual's post-vaccination antibody kinetics.
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Affiliation(s)
- David Hodgson
- Center of Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Stephany Sánchez-Ovando
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Louise Carolan
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Yi Liu
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - A. Jessica Hadiprodjo
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Annette Fox
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Sheena G. Sullivan
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Adam J. Kucharski
- Center of Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK
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4
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Fu H, Pickering H, Rubbi L, Ross TM, Reed EF, Pellegrini M. Longitudinal analysis of influenza vaccination implicates regulation of RIG-I signaling by DNA methylation. Sci Rep 2024; 14:1455. [PMID: 38228690 PMCID: PMC10791625 DOI: 10.1038/s41598-024-51665-9] [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: 09/26/2023] [Accepted: 01/08/2024] [Indexed: 01/18/2024] Open
Abstract
Influenza virus infection alters the promoter DNA methylation of key immune response-related genes, including type-1 interferons and proinflammatory cytokines. However, less is known about the effect of the influenza vaccine on the epigenome. We utilized a targeted DNA methylation approach to study the longitudinal effects (day 0 pre-vaccination and day 28 post-vaccination) on influenza vaccination responses in peripheral blood mononuclear cells. We found that baseline, pre-vaccination methylation profiles are associated with pre-existing, protective serological immunity. Additionally, we identified 481 sites that were differentially methylated between baseline and day 28 post-vaccination. These were enriched for genes involved in the regulation of the RIG-I signaling pathway, an important regulator of viral responses. Our results suggest that DNA methylation changes to components of the RIG-I pathway are associated with vaccine effectiveness. Therefore, immunization strategies that target this pathway may improve serological responses to influenza vaccination.
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Affiliation(s)
- Hongxiang Fu
- Department of Molecular Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA
| | - Harry Pickering
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Liudmilla Rubbi
- Department of Molecular Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA
| | - Ted M Ross
- Department of Infectious Diseases, University of Georgia, Athens, GA, USA
- Center for Vaccines and Immunology, University of Georgia, Athens, GA, USA
| | - Elaine F Reed
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Matteo Pellegrini
- Department of Molecular Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA.
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Tong X, Deng Y, Cizmeci D, Fontana L, Carlock MA, Hanley HB, McNamara RP, Lingwood D, Ross TM, Alter G. Distinct Functional Humoral Immune Responses Are Induced after Live Attenuated and Inactivated Seasonal Influenza Vaccination. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2024; 212:24-34. [PMID: 37975667 PMCID: PMC10872955 DOI: 10.4049/jimmunol.2200956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 10/19/2023] [Indexed: 11/19/2023]
Abstract
Influenza viruses infect 5-30% of the world's population annually, resulting in millions of incidents of hospitalization and thousands of mortalities worldwide every year. Although annual vaccination has significantly reduced hospitalization rates in vulnerable populations, the current vaccines are estimated to offer a wide range of protection from 10 to 60% annually. Such incomplete immunity may be related to both poor antigenic coverage of circulating strains, as well as to the insufficient induction of protective immunity. Beyond the role of hemagglutinin (HA) and neuraminidase (NA), vaccine-induced Abs have the capacity to induce a broader array of Ab effector functions, including Ab-dependent cellular cytotoxicity, that has been implicated in universal immunity against influenza viruses. However, whether different vaccine platforms can induce functional humoral immunity in a distinct manner remains incompletely defined. In this study, we compared vaccine-induced humoral immune responses induced by two seasonal influenza vaccines in Homo sapiens, the i.m. inactivated vaccine (IIV/Fluzone) and the live attenuated mucosal vaccine (LAIV/FluMist). Whereas the inactivated influenza vaccine induced superior Ab titers and FcγR binding capacity to diverse HA and NA Ags, the live attenuated influenza mucosal vaccine induced a more robust functional humoral immune response against both the HA and NA domains. Multivariate Ab analysis further highlighted the significantly different overall functional humoral immune profiles induced by the two vaccines, marked by differences in IgG titers, FcR binding, and both NK cell-recruiting and opsonophagocytic Ab functions. These results highlight the striking differences in Ab Fc-effector profiles induced systemically by two distinct influenza vaccine platforms.
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Affiliation(s)
- Xin Tong
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA
| | - Yixiang Deng
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA
| | - Deniz Cizmeci
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA
| | - Laura Fontana
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA
| | - Michael A. Carlock
- Center for Vaccines and Immunology, University of Georgia, Athens, GA, USA
| | - Hannah B. Hanley
- Center for Vaccines and Immunology, University of Georgia, Athens, GA, USA
| | | | - Daniel Lingwood
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA
| | - Ted M. Ross
- Center for Vaccines and Immunology, University of Georgia, Athens, GA, USA
- Department of Infectious Diseases, University of Georgia, Athens, GA, USA
| | - Galit Alter
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA
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6
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Rodrick TC, Siu Y, Carlock MA, Ross TM, Jones DR. Urine Metabolome Dynamics Discriminate Influenza Vaccination Response. Viruses 2023; 15:242. [PMID: 36680282 PMCID: PMC9861122 DOI: 10.3390/v15010242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 01/05/2023] [Accepted: 01/10/2023] [Indexed: 01/18/2023] Open
Abstract
Influenza represents a major and ongoing public health hazard. Current collaborative efforts are aimed toward creating a universal flu vaccine with the goals of both improving responses to vaccination and increasing the breadth of protection against multiple strains and clades from a single vaccine. As an intermediate step toward these goals, the current work is focused on evaluating the systemic host response to vaccination in both normal and high-risk populations, such as the obese and geriatric populations, which have been linked to poor responses to vaccination. We therefore employed a metabolomics approach using a time-course (n = 5 time points) of the response to human vaccination against influenza from the time before vaccination (pre) to 90 days following vaccination. We analyzed the urinary profiles of a cohort of subjects (n = 179) designed to evenly sample across age, sex, BMI, and other demographic factors, stratifying their responses to vaccination as “High”, “Low”, or “None” based on the seroconversion measured by hemagglutination inhibition assay (HAI) from plasma samples at day 28 post-vaccination. Overall, we putatively identified 15,903 distinct, named, small-molecule structures (4473 at 10% FDR) among the 895 samples analyzed, with the aim of identifying metabolite correlates of the vaccine response, as well as prognostic and diagnostic markers from the periods before and after vaccination, respectively. Notably, we found that the metabolic profiles could unbiasedly separate the high-risk High-responders from the high-risk None-responders (obese/geriatric) within 3 days post-vaccination. The purine metabolites Guanine and Hypoxanthine were negatively associated with high seroconversion (p = 0.0032, p < 0.0001, respectively), while Acetyl-Leucine and 5-Aminovaleric acid were positively associated. Further changes in Cystine, Glutamic acid, Kynurenine and other metabolites implicated early oxidative stress (3 days) after vaccination as a hallmark of the High-responders. Ongoing efforts are aimed toward validating these putative markers using a ferret model of influenza infection, as well as an independent cohort of human seasonal vaccination and human challenge studies with live virus.
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Affiliation(s)
- Tori C. Rodrick
- Metabolomics Core Resource Laboratory, NYU Langone Health, New York, NY 10016, USA
| | - Yik Siu
- Metabolomics Core Resource Laboratory, NYU Langone Health, New York, NY 10016, USA
| | - Michael A. Carlock
- Center for Vaccines and Immunology, University of Georgia, Athens, GA 30602, USA
| | - Ted M. Ross
- Center for Vaccines and Immunology, University of Georgia, Athens, GA 30602, USA
| | - Drew R. Jones
- Metabolomics Core Resource Laboratory, NYU Langone Health, New York, NY 10016, USA
- Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY 10016, USA
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7
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Wu S, Pushalkar S, Maity S, Pressler M, Rendleman J, Vitrinel B, Carlock M, Ross T, Choi H, Vogel C. Proteomic Signatures of the Serological Response to Influenza Vaccination in a Large Human Cohort Study. Viruses 2022; 14:v14112479. [PMID: 36366577 PMCID: PMC9696600 DOI: 10.3390/v14112479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 11/03/2022] [Accepted: 11/06/2022] [Indexed: 11/11/2022] Open
Abstract
The serological response to the influenza virus vaccine is highly heterogeneous for reasons that are not entirely clear. While the impact of demographic factors such as age, body mass index (BMI), sex, prior vaccination and titer levels are known to impact seroconversion, they only explain a fraction of the response. To identify signatures of the vaccine response, we analyzed 273 protein levels from 138 serum samples of influenza vaccine recipients (2019-2020 season). We found that levels of proteins functioning in cholesterol transport were positively associated with seroconversion, likely linking to the known impact of BMI. When adjusting seroconversion for the demographic factors, we identified additional, unexpected signatures: proteins regulating actin cytoskeleton dynamics were significantly elevated in participants with high adjusted seroconversion. Viral strain specific analysis showed that this trend was largely driven by the H3N2 strain. Further, we identified complex associations between adjusted seroconversion and other factors: levels of proteins of the complement system associated positively with adjusted seroconversion in younger participants, while they were associated negatively in the older population. We observed the opposite trends for proteins of high density lipoprotein remodeling, transcription, and hemostasis. In sum, careful integrative modeling can extract new signatures of seroconversion from highly variable data that suggest links between the humoral response as well as immune cell communication and migration.
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Affiliation(s)
- Shaohuan Wu
- Center for Genomics and Systems Biology, New York University, New York, NY 10003, USA
- Correspondence: (S.W.); (C.V.)
| | - Smruti Pushalkar
- Center for Genomics and Systems Biology, New York University, New York, NY 10003, USA
| | - Shuvadeep Maity
- Center for Genomics and Systems Biology, New York University, New York, NY 10003, USA
- Birla Institute of Technology and Science (BITS)-Pilani (Hyderabad Campus), Hyderabad 500078, India
| | - Matthew Pressler
- Center for Genomics and Systems Biology, New York University, New York, NY 10003, USA
| | - Justin Rendleman
- Center for Genomics and Systems Biology, New York University, New York, NY 10003, USA
| | - Burcu Vitrinel
- Center for Genomics and Systems Biology, New York University, New York, NY 10003, USA
| | - Michael Carlock
- Department of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA
- Center for Vaccines and Immunology, University of Georgia, Athens, GA 30605, USA
| | - Ted Ross
- Department of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA
- Center for Vaccines and Immunology, University of Georgia, Athens, GA 30605, USA
| | - Hyungwon Choi
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117599, Singapore
| | - Christine Vogel
- Center for Genomics and Systems Biology, New York University, New York, NY 10003, USA
- Correspondence: (S.W.); (C.V.)
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Qin R, Meng G, Pushalkar S, Carlock MA, Ross TM, Vogel C, Mahal LK. Prevaccination Glycan Markers of Response to an Influenza Vaccine Implicate the Complement Pathway. J Proteome Res 2022; 21:1974-1985. [PMID: 35757850 PMCID: PMC9361353 DOI: 10.1021/acs.jproteome.2c00251] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
A key to improving vaccine design and vaccination strategy is to understand the mechanism behind the variation of vaccine response with host factors. Glycosylation, a critical modulator of immunity, has no clear role in determining vaccine responses. To gain insight into the association between glycosylation and vaccine-induced antibody levels, we profiled the pre- and postvaccination serum protein glycomes of 160 Caucasian adults receiving the FLUZONE influenza vaccine during the 2019-2020 influenza season using lectin microarray technology. We found that prevaccination levels of Lewis A antigen (Lea) are significantly higher in nonresponders than responders. Glycoproteomic analysis showed that Lea-bearing proteins are enriched in complement activation pathways, suggesting a potential role of glycosylation in tuning the activities of complement proteins, which may be implicated in mounting vaccine responses. In addition, we observed a postvaccination increase in sialyl Lewis X antigen (sLex) and a decrease in high mannose glycans among high responders, which were not observed in nonresponders. These data suggest that the immune system may actively modulate glycosylation as part of its effort to establish effective protection postvaccination.
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Affiliation(s)
- Rui Qin
- Department
of Chemistry, University of Alberta, Edmonton, Alberta T6G 2G2, Canada
| | - Guanmin Meng
- Department
of Chemistry, University of Alberta, Edmonton, Alberta T6G 2G2, Canada
| | - Smruti Pushalkar
- Center
for Genomics and Systems Biology, Department of Biology, New York University, New York, New York 10003, United States
| | - Michael A. Carlock
- Center
for Vaccines and Immunology, University
of Georgia, Athens, Georgia 30602, United States
| | - Ted M. Ross
- Center
for Vaccines and Immunology, University
of Georgia, Athens, Georgia 30602, United States
| | - Christine Vogel
- Center
for Genomics and Systems Biology, Department of Biology, New York University, New York, New York 10003, United States
| | - Lara K. Mahal
- Department
of Chemistry, University of Alberta, Edmonton, Alberta T6G 2G2, Canada
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