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Moon SY, Son M, Kang YW, Koh M, Lee JY, Baek YH. Association between ursodeoxycholic acid use and COVID-19 in individuals with chronic liver disease: a nationwide case-control study in South Korea. Virol J 2024; 21:202. [PMID: 39192342 DOI: 10.1186/s12985-024-02464-1] [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: 05/22/2024] [Accepted: 08/07/2024] [Indexed: 08/29/2024] Open
Abstract
BACKGROUND Conflicting evidence exists regarding the effects of ursodeoxycholic acid (UDCA) on coronavirus disease 2019 (COVID-19). This study investigates the association between UDCA administration and COVID-19 infection and its related outcomes in individuals with chronic liver disease (CLD). METHODS A customized COVID-19 research database (n = 3,485,376) was created by integrating data from the National Health Insurance Service (NHIS) and the Korea Disease Control and Prevention Agency's COVID-19 databases. The study focused on patients diagnosed with COVID-19 in 2021, using the NHIS data from 365 days before diagnosis. To create comparable groups with and without UDCA administration before COVID-19, we used propensity score matching. The primary endpoint was the first confirmed positive result for severe acute respiratory syndrome coronavirus-2. In addition, we identified severe COVID-19-related outcomes. Subgroup analysis were conducted based on the dose of UDCA exposure. RESULTS Data from 74,074 individuals with CLD was analyzed. The participants' average age was 57.5 years, and 52.1% (19,277) of those in each group were male. Those with prior UDCA exposure had a significantly lower risk of COVID-19 infection (adjusted OR: 0.80, 95% CI [0.76-0.85]) compared to the non-UDCA group. Additionally, the UDCA group had a lower risk of severe COVID-19 outcomes (adjusted OR: 0.67, 95% CI [0.46-0.98]). Subgroup analyses indicated that there was a decrease in COVID-19 infection and its related outcomes with increasing UDCA exposure dose. CONCLUSIONS Our large observational study highlights the potential use of readily available UDCA as an adjunctive therapy for COVID-19 in individuals with CLD.
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Affiliation(s)
- Sang Yi Moon
- Department of Internal Medicine, Dong-A University College of Medicine, 32 Daesingongwon-ro, Seo-gu, Busan, 49201, South Korea
- Department of Data Sciences Convergence, Dong-A University Interdisciplinary Program, Busan, South Korea
| | - Minkook Son
- Department of Data Sciences Convergence, Dong-A University Interdisciplinary Program, Busan, South Korea
- Department of Physiology, Dong-A University College of Medicine, Busan, South Korea
| | - Yeo Wool Kang
- Department of Internal Medicine, Dong-A University College of Medicine, 32 Daesingongwon-ro, Seo-gu, Busan, 49201, South Korea
| | - Myeongseok Koh
- Department of Internal Medicine, Dong-A University College of Medicine, 32 Daesingongwon-ro, Seo-gu, Busan, 49201, South Korea
| | - Jong Yoon Lee
- Department of Internal Medicine, Dong-A University College of Medicine, 32 Daesingongwon-ro, Seo-gu, Busan, 49201, South Korea
| | - Yang Hyun Baek
- Department of Internal Medicine, Dong-A University College of Medicine, 32 Daesingongwon-ro, Seo-gu, Busan, 49201, South Korea.
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Ramirez SI, Lopez PG, Faraji F, Parikh UM, Heaps A, Ritz J, Moser C, Eron JJ, Wohl DA, Currier JS, Daar ES, Greninger AL, Klekotka P, Grifoni A, Weiskopf D, Sette A, Peters B, Hughes MD, Chew KW, Smith DM, Crotty S. Early antiviral CD4 and CD8 T cell responses and antibodies are associated with upper respiratory tract clearance of SARS-CoV-2. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.10.25.564014. [PMID: 37961119 PMCID: PMC10634820 DOI: 10.1101/2023.10.25.564014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
T cells are involved in protective immunity against numerous viral infections. Data regarding functional roles of human T cells in SARS-CoV-2 (SARS2) viral clearance in primary COVID-19 are limited. To address this knowledge gap, samples were assessed for associations between SARS2 upper respiratory tract viral RNA levels and early virus-specific adaptive immune responses for 95 unvaccinated clinical trial participants with acute primary COVID-19 aged 18-86 years old, approximately half of whom were considered high risk for progression to severe COVID-19. Functionality and magnitude of acute SARS2-specific CD4 and CD8 T cell responses were evaluated, in addition to antibody responses. Most individuals with acute COVID-19 developed SARS2-specific T cell responses within 6 days of COVID-19 symptom onset. Early CD4 T cell and CD8 T cell responses were polyfunctional, and both strongly associated with reduced upper respiratory tract SARS2 viral RNA, independent of neutralizing antibody titers. Overall, these findings provide evidence for protective roles for circulating SARS2-specific CD4 and CD8 T cells during acute COVID-19.
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3
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Augello M, Wagenhäuser I, Krone M, Dauby N, Ferrara P, Sabbatucci M, Ruta S, Rezahosseini O, Velikov P, Gkrania-Klotsas E, Montes J, Franco-Paredes C, Goodman AL, Küçükkaya S, Tuells J, Harboe ZB, Epaulard O. Should SARS-CoV-2 serological testing be used in the decision to deliver a COVID-19 vaccine booster? A pro-con assessment. Vaccine 2024:126184. [PMID: 39097440 DOI: 10.1016/j.vaccine.2024.126184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 07/23/2024] [Accepted: 07/25/2024] [Indexed: 08/05/2024]
Abstract
Anti-SARS-CoV-2 vaccination has saved millions of lives in the past few years. To maintain a high level of protection, particularly in at-risk populations, booster doses are recommended to counter the waning of circulating antibody levels over time and the continuous emergence of immune escape variants of concern (VOCs). As anti-spike serology is now widely available, it may be considered a useful tool to identify individuals needing an additional vaccine dose, i.e., to screen certain populations to identify those whose plasma antibody levels are too low to provide protection. However, no recommendations are currently available on this topic. We reviewed the relevant supporting and opposing arguments, including areas of uncertainty, and concluded that in most populations, spike serology should not be used to decide about the administration of a booster dose. The main counterarguments are as follows: correlates of protection are imperfectly characterised, essentially owing to the emergence of VOCs; spike serology has an intrinsic inability to comprehensively reflect the whole immune memory; and booster vaccines are now VOC-adapted, while the commonly available commercial serological assays explore antibodies against the original virus.
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Affiliation(s)
- Matteo Augello
- Clinic of Infectious Diseases and Tropical Medicine, San Paolo Hospital, ASST Santi Paolo e Carlo, Department of Health Sciences, University of Milan, Milan, Italy
| | - Isabell Wagenhäuser
- University Hospital Würzburg, Infection Control and Antimicrobial Stewardship Unit, Würzburg, Germany
| | - Manuel Krone
- University Hospital Würzburg, Infection Control and Antimicrobial Stewardship Unit, Würzburg, Germany
| | - Nicolas Dauby
- Department of Infectious Diseases, CHU Saint-Pierre, Université Libre de Bruxelles (ULB), Environmental health and occupational health, School of Public Health, Université Libre de Bruxelles (ULB), Brussel, Belgium
| | - Pietro Ferrara
- Center for Public Health Research, University of Milan - Bicocca, Monza, Italy; IRCCS Istituto Auxologico Italiano, Laboratory of Public Health, Milan, Italy
| | | | - Simona Ruta
- Carol Davila University of Medicine and Pharmacy, Bucharest, Romania; Stefan S Nicolau Institute of Virology, Bucharest, Romania
| | - Omid Rezahosseini
- Department of Pulmonary and Infectious Diseases, Copenhagen University Hospital, Hillerød, Denmark
| | - Petar Velikov
- Clinic for Pediatric Infectious Diseases, Infectious Disease Hospital "Prof. Ivan Kirov", Sofia, Bulgaria; Department of Global Public Health, University of Tsukuba, Tsukuba, Japan
| | | | - Jose Montes
- Investigación en Resistencia Antibiótica (INVERA), Buenos Aires, Argentina; Fundación del Centro de Estudios Infectológicos (FUNCEI), Buenos Aires, Argentina
| | - Carlos Franco-Paredes
- Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, USA; Hospital Infantil de Mexico, Mexico City, Mexico
| | - Anna L Goodman
- Centre for Infection Diagnostics research, Department of Infection at at King's College London and Guys' and St Thomas NHS Foundation trust, London, UK
| | - Sertaç Küçükkaya
- Department of Medical Microbiology, Istanbul Faculty of Medicine, İstanbul University, Istanbul, Turkey
| | - Jose Tuells
- Departamento de Enfermería Comunitaria, Medicina Preventiva y Salud Pública e historia de la ciencia, Universidad de Alicante, Alicante, Spain
| | | | - Olivier Epaulard
- Université Grenoble Alpes, Infectiologie, CHU Grenoble Alpes, Grenoble, France.
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4
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Mikolajczyk R, Diexer S, Klee B, Pfrommer L, Purschke O, Fricke J, Ahnert P, Gabrysch S, Gottschick C, Bohn B, Brenner H, Buck C, Castell S, Gastell S, Greiser KH, Harth V, Heise JK, Holleczek B, Kaaks R, Keil T, Krist L, Leitzmann M, Lieb W, Meinke-Franze C, Michels KB, Velásquez IM, Obi N, Panreck L, Peters A, Pischon T, Schikowski T, Schmidt B, Standl M, Stang A, Völzke H, Weber A, Zeeb H, Karch A. Likelihood of Post-COVID Condition in people with hybrid immunity; data from the German National Cohort (NAKO). J Infect 2024; 89:106206. [PMID: 38897239 DOI: 10.1016/j.jinf.2024.106206] [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: 02/19/2024] [Revised: 06/10/2024] [Accepted: 06/13/2024] [Indexed: 06/21/2024]
Abstract
OBJECTIVES The risk of Post-COVID-19 condition (PCC) under hybrid immunity remains unclear. METHODS Using data from the German National Cohort (NAKO Gesundheitsstudie), we investigated risk factors for self-reported post-infection symptoms (any PCC is defined as having at least one symptom, and high symptom burden PCC as having nine or more symptoms). RESULTS Sixty percent of 109,707 participants reported at least one previous SARS-CoV-2 infection; 35% reported having had any symptoms 4-12 months after infection; among them 23% reported nine or more symptoms. Individuals, who did not develop PCC after their first infection, had a strongly reduced risk for PCC after their second infection (50%) and a temporary risk reduction, which waned over 9 months after the preceding infection. The risk of developing PCC strongly depended on the virus variant. Within variants, there was no effect of the number of preceding vaccinations, apart from a strong protection by the fourth vaccination compared to three vaccinations for the Omicron variant (odds ratio = 0.52; 95% confidence interval 0.45-0.61). CONCLUSIONS Previous infections without PCC and a fourth vaccination were associated with a lower risk of PCC after a new infection, indicating diminished risk under hybrid immunity. The two components of risk reduction after a preceding infection suggest different immunological mechanisms.
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Affiliation(s)
- Rafael Mikolajczyk
- Institute for Medical Epidemiology, Biometrics, and Informatics, Interdisciplinary Centre for Health Sciences, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
| | - Sophie Diexer
- Institute for Medical Epidemiology, Biometrics, and Informatics, Interdisciplinary Centre for Health Sciences, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Bianca Klee
- Institute for Medical Epidemiology, Biometrics, and Informatics, Interdisciplinary Centre for Health Sciences, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Laura Pfrommer
- Institute for Medical Epidemiology, Biometrics, and Informatics, Interdisciplinary Centre for Health Sciences, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Oliver Purschke
- Institute for Medical Epidemiology, Biometrics, and Informatics, Interdisciplinary Centre for Health Sciences, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Julia Fricke
- Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Peter Ahnert
- Institute for Medical Informatics, Statistics and Epidemiology, Universität Leipzig, Leipzig, Germany
| | - Sabine Gabrysch
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Public Health, Berlin, Germany; Research Department 2, Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany; Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany
| | - Cornelia Gottschick
- Institute for Medical Epidemiology, Biometrics, and Informatics, Interdisciplinary Centre for Health Sciences, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | | | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Centre (DKFZ), Heidelberg, Germany
| | - Christoph Buck
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Stefanie Castell
- Department for Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Sylvia Gastell
- NAKO Study Centre, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | | | - Volker Harth
- Institute for Occupational and Maritime Medicine Hamburg (ZfAM), University Medical Centre Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Jana-Kristin Heise
- Department for Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | | | - Rudolf Kaaks
- Division of Cancer Epidemiology, DKFZ Heidelberg, Heidelberg, Germany
| | - Thomas Keil
- Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Berlin, Germany; Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany; State Institute of Health I, Bavarian Health and Food Safety Authority, Erlangen, Germany
| | - Lilian Krist
- Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Michael Leitzmann
- Institute of Epidemiology and Preventive Medicine, Regensburg, Germany
| | - Wolfgang Lieb
- Institute of Epidemiology, Kiel University, Kiel, Germany
| | - Claudia Meinke-Franze
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Karin B Michels
- Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Centre, University of Freiburg, Freiburg, Germany
| | - Ilais Moreno Velásquez
- Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research Group, Berlin, Germany
| | - Nadia Obi
- Institute for Occupational and Maritime Medicine Hamburg (ZfAM), University Medical Centre Hamburg-Eppendorf (UKE), Hamburg, Germany
| | | | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Centre for Environmental Health (GmbH), Neuherberg, Germany; Chair of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Tobias Pischon
- Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research Group, Berlin, Germany
| | - Tamara Schikowski
- IUF-Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany
| | - Börge Schmidt
- Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Essen, Germany
| | - Marie Standl
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Centre for Environmental Health (GmbH), Neuherberg, Germany; German Centre for Lung Research (DZL), Munich, Germany
| | - Andreas Stang
- Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Essen, Germany
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Andrea Weber
- Institute of Epidemiology and Preventive Medicine, Regensburg, Germany
| | - Hajo Zeeb
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany; Health Sciences Bremen, University of Bremen, Bremen, Germany
| | - André Karch
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
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5
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Cori A, Kucharski A. Inference of epidemic dynamics in the COVID-19 era and beyond. Epidemics 2024; 48:100784. [PMID: 39167954 DOI: 10.1016/j.epidem.2024.100784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 06/25/2024] [Accepted: 07/11/2024] [Indexed: 08/23/2024] Open
Abstract
The COVID-19 pandemic demonstrated the key role that epidemiology and modelling play in analysing infectious threats and supporting decision making in real-time. Motivated by the unprecedented volume and breadth of data generated during the pandemic, we review modern opportunities for analysis to address questions that emerge during a major modern epidemic. Following the broad chronology of insights required - from understanding initial dynamics to retrospective evaluation of interventions, we describe the theoretical foundations of each approach and the underlying intuition. Through a series of case studies, we illustrate real life applications, and discuss implications for future work.
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Affiliation(s)
- Anne Cori
- MRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, United Kingdom.
| | - Adam Kucharski
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, United Kingdom.
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6
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Shi N, Marcato A, Spirkoska V, Meagher N, Villanueva‐Cabezas J, Price D. The Asymptomatic Proportion of SARS-CoV-2 Omicron Variant Infections in Households: A Systematic Review. Influenza Other Respir Viruses 2024; 18:e13348. [PMID: 38949103 PMCID: PMC11215535 DOI: 10.1111/irv.13348] [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: 04/16/2024] [Revised: 06/04/2024] [Accepted: 06/05/2024] [Indexed: 07/02/2024] Open
Abstract
Understanding the clinical spectrum of SARS-CoV-2 infection, including the asymptomatic fraction, is important as asymptomatic individuals are still able to infect other individuals and contribute to ongoing transmission. The WHO Unity Household transmission investigation (HHTI) protocol provides a platform for the prospective and systematic collection of high-quality clinical, epidemiological, serological and virological data from SARS-CoV-2 confirmed cases and their household contacts. These data can be used to understand key severity and transmissibility parameters-including the asymptomatic proportion-in relation to local epidemic context and help inform public health response. We aimed to estimate the asymptomatic proportion of SARS-CoV-2 Omicron variant infections in Unity-aligned HHTIs. We conducted a systematic review and meta-analysis in alignment with the PRISMA 2020 guidelines and registered our systematic review on PROSPERO (CRD42022378648). We searched EMBASE, Web of Science, MEDLINE and bioRxiv and medRxiv from 1 November 2021 to 22 August 2023. We identified 8368 records, of which 98 underwent full text review. We identified only three studies for data extraction, with substantial variation in study design and corresponding estimates of the asymptomatic proportion. As a result, we did not generate a pooled estimate or I2 metric. The limited number of quality studies that we identified highlights the need for improved preparedness and response capabilities to facilitate robust HHTI implementation, analysis and reporting, to better inform national, regional and global risk assessments and policymaking.
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Affiliation(s)
- Nancy D. J. Shi
- Department of Infectious Diseases, The University of Melbourneat the Peter Doherty Institute for Infection and ImmunityMelbourneVictoriaAustralia
| | - Adrian J. Marcato
- Department of Infectious Diseases, The University of Melbourneat the Peter Doherty Institute for Infection and ImmunityMelbourneVictoriaAustralia
| | - Violeta Spirkoska
- Department of Infectious Diseases, The University of Melbourneat the Peter Doherty Institute for Infection and ImmunityMelbourneVictoriaAustralia
| | - Niamh Meagher
- Department of Infectious Diseases, The University of Melbourneat the Peter Doherty Institute for Infection and ImmunityMelbourneVictoriaAustralia
| | - Juan‐Pablo Villanueva‐Cabezas
- Department of Infectious Diseases, The University of Melbourneat the Peter Doherty Institute for Infection and ImmunityMelbourneVictoriaAustralia
- The Nossal Institute for Global HealthThe University of MelbourneMelbourneVictoriaAustralia
| | - David J. Price
- Department of Infectious Diseases, The University of Melbourneat the Peter Doherty Institute for Infection and ImmunityMelbourneVictoriaAustralia
- Centre for Epidemiology & Biostatistics, Melbourne School of Population & Global HealthThe University of MelbourneMelbourneVictoriaAustralia
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7
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Chang YH, Hsu MF, Chen WN, Wu MH, Kong WL, Lu MYJ, Huang CH, Chang FJ, Chang LY, Tsai HY, Tung CP, Yu JH, Kuo Y, Chou YC, Bai LY, Chang YC, Chen AY, Chen CC, Chen YH, Liao CC, Chang CS, Liang JJ, Lin YL, Angata T, Hsu STD, Lin KI. Functional and structural investigation of a broadly neutralizing SARS-CoV-2 antibody. JCI Insight 2024; 9:e179726. [PMID: 38775156 PMCID: PMC11141937 DOI: 10.1172/jci.insight.179726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 04/12/2024] [Indexed: 06/02/2024] Open
Abstract
Since its emergence, SARS-CoV-2 has been continuously evolving, hampering the effectiveness of current vaccines against COVID-19. mAbs can be used to treat patients at risk of severe COVID-19. Thus, the development of broadly protective mAbs and an understanding of the underlying protective mechanisms are of great importance. Here, we isolated mAbs from donors with breakthrough infection with Omicron subvariants using a single-B cell screening platform. We identified a mAb, O5C2, which possesses broad-spectrum neutralization and antibody-dependent cell-mediated cytotoxic activities against SARS-CoV-2 variants, including EG.5.1. Single-particle analysis by cryo-electron microscopy revealed that O5C2 targeted an unusually large epitope within the receptor-binding domain of spike protein that overlapped with the angiotensin-converting enzyme 2 binding interface. Furthermore, O5C2 effectively protected against BA.5 Omicron infection in vivo by mediating changes in transcriptomes enriched in genes involved in apoptosis and interferon responses. Our findings provide insights into the development of pan-protective mAbs against SARS-CoV-2.
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Affiliation(s)
- Yi-Hsuan Chang
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
- Institute of Biochemical Sciences, National Taiwan University, Taipei, Taiwan
| | | | - Wei-Nan Chen
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | | | - Wye-Lup Kong
- Biodiversity Research Center, Academia Sinica, Taipei, Taiwan
| | - Mei-Yeh Jade Lu
- Biodiversity Research Center, Academia Sinica, Taipei, Taiwan
| | - Chih-Heng Huang
- Institute of Preventive Medicine
- Graduate Institute of Medical Sciences, and
- Department of Microbiology and Immunology, National Defense Medical Center, Taipei, Taiwan
| | - Fang-Ju Chang
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | | | - Ho-Yang Tsai
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
- Institute of Biochemical Sciences, National Taiwan University, Taipei, Taiwan
| | - Chao-Ping Tung
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Jou-Hui Yu
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Yali Kuo
- Biomedical Translation Research Center (BioTReC)
| | - Yu-Chi Chou
- Biomedical Translation Research Center (BioTReC)
| | - Li-Yang Bai
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Yuan-Chih Chang
- Institute of Biological Chemistry and
- Academia Sinica Cryo-EM Center, and
| | - An-Yu Chen
- Institute of Preventive Medicine
- Graduate Institute of Medical Sciences, and
| | - Cheng-Cheung Chen
- Institute of Preventive Medicine
- Graduate Institute of Medical Sciences, and
| | - Yi-Hua Chen
- Biodiversity Research Center, Academia Sinica, Taipei, Taiwan
| | | | | | - Jian-Jong Liang
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Yi-Ling Lin
- Biomedical Translation Research Center (BioTReC)
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Takashi Angata
- Institute of Biochemical Sciences, National Taiwan University, Taipei, Taiwan
- Institute of Biological Chemistry and
| | - Shang-Te Danny Hsu
- Institute of Biochemical Sciences, National Taiwan University, Taipei, Taiwan
- Institute of Biological Chemistry and
- International Institute for Sustainability with Knotted Chiral Meta Matter (WPI-SKC M2, ) Hiroshima University, Hiroshima, Japan
| | - Kuo-I Lin
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
- Biomedical Translation Research Center (BioTReC)
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8
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Zaeck LM, Tan NH, Rietdijk WJR, Geers D, Sablerolles RSG, Bogers S, van Dijk LLA, Gommers L, van Leeuwen LPM, Rugebregt S, Goorhuis A, Postma DF, Visser LG, Dalm VASH, Lafeber M, Kootstra NA, Huckriede ALW, Haagmans BL, van Baarle D, Koopmans MPG, van der Kuy PHM, GeurtsvanKessel CH, de Vries RD. Original COVID-19 priming regimen impacts the immunogenicity of bivalent BA.1 and BA.5 boosters. Nat Commun 2024; 15:4224. [PMID: 38762522 PMCID: PMC11102539 DOI: 10.1038/s41467-024-48414-x] [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: 04/30/2024] [Indexed: 05/20/2024] Open
Abstract
Waning antibody responses after COVID-19 vaccination combined with the emergence of the SARS-CoV-2 Omicron lineage led to reduced vaccine effectiveness. As a countermeasure, bivalent mRNA-based booster vaccines encoding the ancestral spike protein in combination with that of Omicron BA.1 or BA.5 were introduced. Since then, different BA.2-descendent lineages have become dominant, such as XBB.1.5, JN.1, or EG.5.1. Here, we report post-hoc analyses of data from the SWITCH-ON study, assessing how different COVID-19 priming regimens affect the immunogenicity of bivalent booster vaccinations and breakthrough infections (NCT05471440). BA.1 and BA.5 bivalent vaccines boosted neutralizing antibodies and T-cells up to 3 months after boost; however, cross-neutralization of XBB.1.5 was poor. Interestingly, different combinations of prime-boost regimens induced divergent responses: participants primed with Ad26.COV2.S developed lower binding antibody levels after bivalent boost while neutralization and T-cell responses were similar to mRNA-based primed participants. In contrast, the breadth of neutralization was higher in mRNA-primed and bivalent BA.5 boosted participants. Combined, our data further support the current use of monovalent vaccines based on circulating strains when vaccinating risk groups, as recently recommended by the WHO. We emphasize the importance of the continuous assessment of immune responses targeting circulating variants to guide future COVID-19 vaccination policies.
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Affiliation(s)
- Luca M Zaeck
- Department of Viroscience, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Ngoc H Tan
- Department of Hospital Pharmacy, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Wim J R Rietdijk
- Department of Hospital Pharmacy, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Daryl Geers
- Department of Viroscience, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Roos S G Sablerolles
- Department of Hospital Pharmacy, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Susanne Bogers
- Department of Viroscience, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Laura L A van Dijk
- Department of Viroscience, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Lennert Gommers
- Department of Viroscience, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Leanne P M van Leeuwen
- Department of Viroscience, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Sharona Rugebregt
- Department of Viroscience, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Abraham Goorhuis
- Center of Tropical Medicine and Travel Medicine, Department of Infectious Diseases, Amsterdam University Medical Centers, Amsterdam, the Netherlands
- Infection and Immunity, Amsterdam Public Health, University of Amsterdam, Amsterdam, the Netherlands
| | - Douwe F Postma
- Department of Internal Medicine and Infectious Diseases, University Medical Center Groningen, Groningen, the Netherlands
| | - Leo G Visser
- Department of Infectious Diseases, Leiden University Medical Center, Leiden, the Netherlands
| | - Virgil A S H Dalm
- Department of Internal Medicine, Division of Allergy and Clinical Immunology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Immunology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Melvin Lafeber
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Neeltje A Kootstra
- Department of Experimental Immunology, Amsterdam University Medical Centers, Amsterdam Institute for Immunology and Infectious Diseases, University of Amsterdam, Amsterdam, the Netherlands
| | - Anke L W Huckriede
- Department of Medical Microbiology and Infection Prevention, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Bart L Haagmans
- Department of Viroscience, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Debbie van Baarle
- Department of Medical Microbiology and Infection Prevention, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Marion P G Koopmans
- Department of Viroscience, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - P Hugo M van der Kuy
- Department of Hospital Pharmacy, Erasmus University Medical Center, Rotterdam, the Netherlands
| | | | - Rory D de Vries
- Department of Viroscience, Erasmus University Medical Center, Rotterdam, the Netherlands
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9
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Xie J, Mothe B, Alcalde Herraiz M, Li C, Xu Y, Jödicke AM, Gao Y, Wang Y, Feng S, Wei J, Chen Z, Hong S, Wu Y, Su B, Zheng X, Cohet C, Ali R, Wareham N, Alhambra DP. Relationship between HLA genetic variations, COVID-19 vaccine antibody response, and risk of breakthrough outcomes. Nat Commun 2024; 15:4031. [PMID: 38740772 DOI: 10.1038/s41467-024-48339-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 04/29/2024] [Indexed: 05/16/2024] Open
Abstract
The rapid global distribution of COVID-19 vaccines, with over a billion doses administered, has been unprecedented. However, in comparison to most identified clinical determinants, the implications of individual genetic factors on antibody responses post-COVID-19 vaccination for breakthrough outcomes remain elusive. Here, we conducted a population-based study including 357,806 vaccinated participants with high-resolution HLA genotyping data, and a subset of 175,000 with antibody serology test results. We confirmed prior findings that single nucleotide polymorphisms associated with antibody response are predominantly located in the Major Histocompatibility Complex region, with the expansive HLA-DQB1*06 gene alleles linked to improved antibody responses. However, our results did not support the claim that this mutation alone can significantly reduce COVID-19 risk in the general population. In addition, we discovered and validated six HLA alleles (A*03:01, C*16:01, DQA1*01:02, DQA1*01:01, DRB3*01:01, and DPB1*10:01) that independently influence antibody responses and demonstrated a combined effect across HLA genes on the risk of breakthrough COVID-19 outcomes. Lastly, we estimated that COVID-19 vaccine-induced antibody positivity provides approximately 20% protection against infection and 50% protection against severity. These findings have immediate implications for functional studies on HLA molecules and can inform future personalised vaccination strategies.
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Affiliation(s)
- Junqing Xie
- Centre for Statistics in Medicine and NIHR Biomedical Research Centre Oxford, NDORMS, University of Oxford, Oxford, UK
| | - Beatriz Mothe
- Infectious Diseases Department, IrsiCaixa AIDS Research Institute, Hospital Universitari Germans Trias i Pujol, Badalona, Spain
| | - Marta Alcalde Herraiz
- Centre for Statistics in Medicine and NIHR Biomedical Research Centre Oxford, NDORMS, University of Oxford, Oxford, UK
| | - Chunxiao Li
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Yu Xu
- Cambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK
| | - Annika M Jödicke
- Centre for Statistics in Medicine and NIHR Biomedical Research Centre Oxford, NDORMS, University of Oxford, Oxford, UK
| | - Yaqing Gao
- Nuffield Department of Population Health, Big Data Institute, University of Oxford, Oxford, UK
| | - Yunhe Wang
- Nuffield Department of Population Health, Big Data Institute, University of Oxford, Oxford, UK
| | - Shuo Feng
- Oxford Vaccine Group, Department of Paediatrics, University of Oxford, Oxford, UK
| | - Jia Wei
- Nuffield Department of Medicine, Big Data Institute, University of Oxford, Oxford, UK
| | - Zhuoyao Chen
- Centre for Medicines Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Shenda Hong
- National Institute of Health Data Science, Peking University, Beijing, China
- Institute of Medical Technology, Peking University Health Science Center, Beijing, China
| | - Yeda Wu
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
| | - Binbin Su
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing, China
| | - Xiaoying Zheng
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing, China
| | - Catherine Cohet
- Real-World Evidence Workstream, Data Analytics and Methods Task Force, European Medicines Agency, Amsterdam, Noord-Holland, The Netherlands
| | - Raghib Ali
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK
- Public Health Research Center, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates
| | - Nick Wareham
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Daniel Prieto Alhambra
- Centre for Statistics in Medicine and NIHR Biomedical Research Centre Oxford, NDORMS, University of Oxford, Oxford, UK.
- Department of Medical Informatics, Erasmus University Medical Centre, Rotterdam, The Netherlands.
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10
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Kumar A, Tripathi P, Kumar P, Shekhar R, Pathak R. From Detection to Protection: Antibodies and Their Crucial Role in Diagnosing and Combatting SARS-CoV-2. Vaccines (Basel) 2024; 12:459. [PMID: 38793710 PMCID: PMC11125746 DOI: 10.3390/vaccines12050459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 04/20/2024] [Accepted: 04/22/2024] [Indexed: 05/26/2024] Open
Abstract
Understanding the antibody response to SARS-CoV-2, the virus responsible for COVID-19, is crucial to comprehending disease progression and the significance of vaccine and therapeutic development. The emergence of highly contagious variants poses a significant challenge to humoral immunity, underscoring the necessity of grasping the intricacies of specific antibodies. This review emphasizes the pivotal role of antibodies in shaping immune responses and their implications for diagnosing, preventing, and treating SARS-CoV-2 infection. It delves into the kinetics and characteristics of the antibody response to SARS-CoV-2 and explores current antibody-based diagnostics, discussing their strengths, clinical utility, and limitations. Furthermore, we underscore the therapeutic potential of SARS-CoV-2-specific antibodies, discussing various antibody-based therapies such as monoclonal antibodies, polyclonal antibodies, anti-cytokines, convalescent plasma, and hyperimmunoglobulin-based therapies. Moreover, we offer insights into antibody responses to SARS-CoV-2 vaccines, emphasizing the significance of neutralizing antibodies in order to confer immunity to SARS-CoV-2, along with emerging variants of concern (VOCs) and circulating Omicron subvariants. We also highlight challenges in the field, such as the risks of antibody-dependent enhancement (ADE) for SARS-CoV-2 antibodies, and shed light on the challenges associated with the original antigenic sin (OAS) effect and long COVID. Overall, this review intends to provide valuable insights, which are crucial to advancing sensitive diagnostic tools, identifying efficient antibody-based therapeutics, and developing effective vaccines to combat the evolving threat of SARS-CoV-2 variants on a global scale.
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Affiliation(s)
- Anoop Kumar
- Molecular Diagnostic Laboratory, National Institute of Biologicals, Noida 201309, India
| | - Prajna Tripathi
- Department of Microbiology and Immunology, Weill Cornell Medical College, New York, NY 10021, USA;
| | - Prashant Kumar
- R. Ken Coit College of Pharmacy, University of Arizona, Tucson, AZ 85721, USA
| | - Ritu Shekhar
- Department of Molecular Genetics and Microbiology, College of Medicine, University of Florida, Gainesville, FL 32610, USA
| | - Rajiv Pathak
- Department of Genetics, Albert Einstein College of Medicine, Bronx, New York, NY 10461, USA
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11
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van Leeuwen LPM, Grobben M, GeurtsvanKessel CH, Ellerbroek PM, de Bree GJ, Potjewijd J, Rutgers A, Jolink H, van de Veerdonk FL, van Gils MJ, de Vries RD, Dalm VASH. Immunogenicity of COVID-19 booster vaccination in IEI patients and their one year clinical follow-up after start of the COVID-19 vaccination program. Front Immunol 2024; 15:1390022. [PMID: 38698851 PMCID: PMC11063285 DOI: 10.3389/fimmu.2024.1390022] [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: 02/22/2024] [Accepted: 04/05/2024] [Indexed: 05/05/2024] Open
Abstract
Purpose Previous studies have demonstrated that the majority of patients with an inborn error of immunity (IEI) develop a spike (S)-specific IgG antibody and T-cell response after two doses of the mRNA-1273 COVID-19 vaccine, but little is known about the response to a booster vaccination. We studied the immune responses 8 weeks after booster vaccination with mRNA-based COVID-19 vaccines in 171 IEI patients. Moreover, we evaluated the clinical outcomes in these patients one year after the start of the Dutch COVID-19 vaccination campaign. Methods This study was embedded in a large prospective multicenter study investigating the immunogenicity of COVID-19 mRNA-based vaccines in IEI (VACOPID study). Blood samples were taken from 244 participants 8 weeks after booster vaccination. These participants included 171 IEI patients (X-linked agammaglobulinemia (XLA;N=11), combined immunodeficiency (CID;N=4), common variable immunodeficiency (CVID;N=45), isolated or undefined antibody deficiencies (N=108) and phagocyte defects (N=3)) and 73 controls. SARS-CoV-2-specific IgG titers, neutralizing antibodies, and T-cell responses were evaluated. One year after the start of the COVID-19 vaccination program, 334 study participants (239 IEI patients and 95 controls) completed a questionnaire to supplement their clinical data focusing on SARS-CoV-2 infections. Results After booster vaccination, S-specific IgG titers increased in all COVID-19 naive IEI cohorts and controls, when compared to titers at 6 months after the priming regimen. The fold-increases did not differ between controls and IEI cohorts. SARS-CoV-2-specific T-cell responses also increased equally in all cohorts after booster vaccination compared to 6 months after the priming regimen. Most SARS-CoV-2 infections during the study period occurred in the period when the Omicron variant had become dominant. The clinical course of these infections was mild, although IEI patients experienced more frequent fever and dyspnea compared to controls and their symptoms persisted longer. Conclusion Our study demonstrates that mRNA-based booster vaccination induces robust recall of memory B-cell and T-cell responses in most IEI patients. One-year clinical follow-up demonstrated that SARS-CoV-2 infections in IEI patients were mild. Given our results, we support booster campaigns with newer variant-specific COVID-19 booster vaccines to IEI patients with milder phenotypes.
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Affiliation(s)
- Leanne P. M. van Leeuwen
- Department of Viroscience, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
- Travel Clinic, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Marloes Grobben
- Department of Medical Microbiology and Infection Prevention, Amsterdam Institute for Infection and Immunity, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | | | - Pauline M. Ellerbroek
- Department of Internal Medicine, Infectious Diseases, University Medical Center Utrecht, Utrecht, Netherlands
| | | | - Judith Potjewijd
- Department of Internal Medicine, Division Clinical Immunology, Maastricht UMC, Maastricht, Netherlands
| | - Abraham Rutgers
- Department of Rheumatology and Clinical Immunology, UMC Groningen, Groningen, Netherlands
| | - Hetty Jolink
- Department of Infectious Diseases, Leiden University Medical Center, Leiden, Netherlands
| | - Frank L. van de Veerdonk
- Department of Internal Medicine, Radboud University Medical Center Nijmegen, Nijmegen, Netherlands
| | - Marit J. van Gils
- Department of Medical Microbiology and Infection Prevention, Amsterdam Institute for Infection and Immunity, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Rory D. de Vries
- Department of Viroscience, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Virgil A. S. H. Dalm
- Department of Internal Medicine, Division of Allergy & Clinical Immunology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Immunology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
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12
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Kawasuji H, Morinaga Y, Nagaoka K, Tani H, Yoshida Y, Yamada H, Takegoshi Y, Kaneda M, Murai Y, Kimoto K, Niimi H, Yamamoto Y. High interleukin-6 levels induced by COVID-19 pneumonia correlate with increased circulating follicular helper T cell frequency and strong neutralization antibody response in the acute phase of Omicron breakthrough infection. Front Immunol 2024; 15:1377014. [PMID: 38694512 PMCID: PMC11061453 DOI: 10.3389/fimmu.2024.1377014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 04/05/2024] [Indexed: 05/04/2024] Open
Abstract
Background Acute immune responses to coronavirus disease 2019 (COVID-19) are influenced by variants, vaccination, and clinical severity. Thus, the outcome of these responses may differ between vaccinated and unvaccinated patients and those with and without COVID-19-related pneumonia. In this study, these differences during infection with the Omicron variant were investigated. Methods A total of 67 patients (including 47 vaccinated and 20 unvaccinated patients) who were hospitalized within 5 days after COVID-19 symptom onset were enrolled in this prospective observational study. Serum neutralizing activity was evaluated using a pseudotyped virus assay and serum cytokines and chemokines were measured. Circulating follicular helper T cell (cTfh) frequencies were evaluated using flow cytometry. Results Twenty-five patients developed COVID-19 pneumonia on hospitalization. Although the neutralizing activities against wild-type and Delta variants were higher in the vaccinated group, those against the Omicron variant as well as the frequency of developing pneumonia were comparable between the vaccinated and unvaccinated groups. IL-6 and CXCL10 levels were higher in patients with pneumonia than in those without it, regardless of their vaccination status. Neutralizing activity against the Omicron variant were higher in vaccinated patients with pneumonia than in those without it. Moreover, a distinctive correlation between neutralizing activity against Omicron, IL-6 levels, and cTfh proportions was observed only in vaccinated patients. Conclusions The present study demonstrates the existence of a characteristic relationship between neutralizing activity against Omicron, IL-6 levels, and cTfh proportions in Omicron breakthrough infection.
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Affiliation(s)
- Hitoshi Kawasuji
- Department of Clinical Infectious Diseases, Toyama University Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
| | - Yoshitomo Morinaga
- Department of Microbiology, Toyama University Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
| | - Kentaro Nagaoka
- Department of Clinical Infectious Diseases, Toyama University Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
| | - Hideki Tani
- Department of Virology, Toyama Institute of Health, Toyama, Japan
| | - Yoshihiro Yoshida
- Department of Microbiology, Toyama University Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
| | - Hiroshi Yamada
- Department of Microbiology, Toyama University Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
| | - Yusuke Takegoshi
- Department of Clinical Infectious Diseases, Toyama University Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
| | - Makito Kaneda
- Department of Clinical Infectious Diseases, Toyama University Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
| | - Yushi Murai
- Department of Clinical Infectious Diseases, Toyama University Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
| | - Kou Kimoto
- Department of Clinical Infectious Diseases, Toyama University Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
| | - Hideki Niimi
- Department of Clinical Laboratory and Molecular Pathology, Toyama University Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
| | - Yoshihiro Yamamoto
- Department of Clinical Infectious Diseases, Toyama University Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
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13
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Plumb ID, Briggs Hagen M, Wiegand R, Dumyati G, Myers C, Harland KK, Krishnadasan A, James Gist J, Abedi G, Fleming-Dutra KE, Chea N, Lee JE, Kellogg M, Edmundson A, Britton A, Wilson LE, Lovett SA, Ocampo V, Markus TM, Smithline HA, Hou PC, Lee LC, Mower W, Rwamwejo F, Steele MT, Lim SC, Schrading WA, Chinnock B, Beiser DG, Faine B, Haran JP, Nandi U, Chipman AK, LoVecchio F, Eucker S, Femling J, Fuller M, Rothman RE, Curlin ME, Talan DA, Mohr NM. Effectiveness of a bivalent mRNA vaccine dose against symptomatic SARS-CoV-2 infection among U.S. Healthcare personnel, September 2022-May 2023. Vaccine 2024; 42:2543-2552. [PMID: 37973512 PMCID: PMC10994739 DOI: 10.1016/j.vaccine.2023.10.072] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 10/27/2023] [Accepted: 10/30/2023] [Indexed: 11/19/2023]
Abstract
BACKGROUND Bivalent mRNA vaccines were recommended since September 2022. However, coverage with a recent vaccine dose has been limited, and there are few robust estimates of bivalent VE against symptomatic SARS-CoV-2 infection (COVID-19). We estimated VE of a bivalent mRNA vaccine dose against COVID-19 among eligible U.S. healthcare personnel who had previously received monovalent mRNA vaccine doses. METHODS We conducted a case-control study in 22 U.S. states, and enrolled healthcare personnel with COVID-19 (case-participants) or without COVID-19 (control-participants) during September 2022-May 2023. Participants were considered eligible for a bivalent mRNA dose if they had received 2-4 monovalent (ancestral-strain) mRNA vaccine doses, and were ≥67 days after the most recent vaccine dose. We estimated VE of a bivalent mRNA dose using conditional logistic regression, accounting for matching by region and four-week calendar period. We adjusted estimates for age group, sex, race and ethnicity, educational level, underlying health conditions, community COVID-19 exposure, prior SARS-CoV-2 infection, and days since the last monovalent mRNA dose. RESULTS Among 3,647 healthcare personnel, 1,528 were included as case-participants and 2,119 as control-participants. Participants received their last monovalent mRNA dose a median of 404 days previously; 1,234 (33.8%) also received a bivalent mRNA dose a median of 93 days previously. Overall, VE of a bivalent dose was 34.1% (95% CI, 22.6%-43.9%) against COVID-19 and was similar by product, days since last monovalent dose, number of prior doses, age group, and presence of underlying health conditions. However, VE declined from 54.8% (95% CI, 40.7%-65.6%) after 7-59 days to 21.6% (95% CI 5.6%-34.9%) after ≥60 days. CONCLUSIONS Bivalent mRNA COVID-19 vaccines initially conferred approximately 55% protection against COVID-19 among U.S. healthcare personnel. However, protection waned after two months. These findings indicate moderate initial protection against symptomatic SARS-CoV-2 infection by remaining up-to-date with COVID-19 vaccines.
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Affiliation(s)
- Ian D Plumb
- National Center for Immunizations and Respiratory Diseases, Centers for Disease Control & Prevention, Atlanta, GA, USA.
| | - Melissa Briggs Hagen
- National Center for Immunizations and Respiratory Diseases, Centers for Disease Control & Prevention, Atlanta, GA, USA
| | - Ryan Wiegand
- National Center for Immunizations and Respiratory Diseases, Centers for Disease Control & Prevention, Atlanta, GA, USA
| | - Ghinwa Dumyati
- University of Rochester Medical Center, Rochester, NY, USA
| | | | | | | | - Jade James Gist
- National Center for Immunizations and Respiratory Diseases, Centers for Disease Control & Prevention, Atlanta, GA, USA
| | - Glen Abedi
- National Center for Immunizations and Respiratory Diseases, Centers for Disease Control & Prevention, Atlanta, GA, USA
| | - Katherine E Fleming-Dutra
- National Center for Immunizations and Respiratory Diseases, Centers for Disease Control & Prevention, Atlanta, GA, USA
| | - Nora Chea
- National Center for Emerging and Zoonotic Diseases, Centers for Disease Control & Prevention, USA
| | - Jane E Lee
- California Emerging Infections Program, Oakland, CA, USA
| | | | - Alexandra Edmundson
- Connecticut Emerging Infections Program, Yale School of Public Health, CT, USA
| | - Amber Britton
- Georgia Emerging Infections Program and Emory University School of Medicine, Atlanta, GA, USA
| | - Lucy E Wilson
- Maryland Emerging Infections Program, Maryland Department of Health and University of Maryland, Baltimore, MD, USA
| | | | - Valerie Ocampo
- Public Health Division, Oregon Health Authority, OR, USA
| | | | | | - Peter C Hou
- Brigham and Women's Hospital, Boston, MA, USA
| | | | | | | | - Mark T Steele
- University of Missouri-Kansas City, Kansas City, MO, USA
| | - Stephen C Lim
- University Medical Center New Orleans, LSU Health Sciences Center, New Orleans, LA, USA
| | | | | | | | | | - John P Haran
- University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Utsav Nandi
- University of Mississippi Medical Center, Jackson, MS, USA
| | | | | | | | - Jon Femling
- University of New Mexico Health Science Center, USA
| | | | - Richard E Rothman
- Department of Emergency Medicine, Johns Hopkins University, Baltimore, MD, USA
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14
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Kohli M, Maschio M, Lee A, Igarashi A. Projections of the incidence of COVID-19 in Japan and the potential impact of a Fall 2023 COVID-19 vaccine. Vaccine 2024; 42:2282-2289. [PMID: 38429154 DOI: 10.1016/j.vaccine.2024.01.093] [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: 11/20/2023] [Revised: 01/21/2024] [Accepted: 01/26/2024] [Indexed: 03/03/2024]
Abstract
BACKGROUND The study objective was to estimate the incidence of COVID-19 infection, hospitalization, and deaths in Japan from September 2023 to August 2024 and potential impact of a monovalent XBB.1.5 variant-adapted Fall 2023 COVID-19 vaccine (modified version: XBB monovalent) for adults aged ≥18 years on these outcomes. METHODS A previously developed Susceptible-Exposed-Infected-Recovered model for the United States (US) was adapted to Japan. The numbers of symptomatic infections, COVID-19-related hospitalizations, and deaths were calculated. Given differences in vaccination coverage, masking practices and social mixing patterns between the US and Japan, all inputs were updated to reflect the Japanese context. Vaccine effectiveness (VE) values are hypothetical, but predicted based on existing VE values of bivalent BA.4/BA.5 boosters against BA.4/BA.5 in Japan, from the VERSUS test-negative case-control study. Sensitivity analyses were performed. RESULTS The base case model predicts overall that there will be approximately 35.2 million symptomatic COVID-19 infections, 690,000 hospitalizations, and 62,000 deaths in Japan between September 2023 and August 2024. If an updated COVID-19 vaccine is offered to all adults aged 18 years and older in Fall 2023, the model predicts that 7.3 million infections, 275,000 hospitalizations and 26,000 deaths will be prevented. If vaccines are only given to those aged 65 years and older, only 2.9 million infections, 180,000 hospitalizations and 19,000 deaths will be prevented. Sensitivity analysis results suggest that hospitalizations and deaths prevented are most sensitive to initial VE against infection and hospitalizations, and the waning rate associated with VE against infection. Symptomatic infections prevented was most sensitive to initial VE against infection and VE waning. CONCLUSIONS Results suggest that a Fall 2023 COVID-19 vaccine would reduce total numbers of COVID-19-related infections, hospitalizations, and deaths.
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Affiliation(s)
- Michele Kohli
- Quadrant Health Economics Inc, 92 Cottonwood Crescent, Cambridge, Ontario, Canada.
| | - Michael Maschio
- Quadrant Health Economics Inc, 92 Cottonwood Crescent, Cambridge, Ontario, Canada
| | - Amy Lee
- Quadrant Health Economics Inc, 92 Cottonwood Crescent, Cambridge, Ontario, Canada
| | - Ataru Igarashi
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, 7-3-1 Hongo, Bunkyo Ward, Tokyo 113-0033, Japan; Graduate School of Data Sciences, Yokohama City University School of Medicine, 22-2 Seto, Kanazawa Ward, Yokohama, Kanagawa 236-0027, Japan
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15
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Xia Q, Yang Y, Wang F, Huang Z, Qiu W, Mao A. Case fatality rates of COVID-19 during epidemic periods of variants of concern: A meta-analysis by continents. Int J Infect Dis 2024; 141:106950. [PMID: 38309460 DOI: 10.1016/j.ijid.2024.01.017] [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: 11/28/2023] [Revised: 01/04/2024] [Accepted: 01/25/2024] [Indexed: 02/05/2024] Open
Abstract
OBJECTIVES To calculate the case fatality rates (CFR) of COVID-19 during epidemic periods of different variants of concern (VOC) by continents. METHODS We systematically searched five authoritative databases (Web of Science, PubMed, Embase, Cochrane Library, and MedRxiv) for epidemiological studies on the CFR of COVID-19 published between January 1, 2020, and March 31, 2023. After identifying the epidemic trends of variants, we used a random-effects model to calculate the pooled CFRs during periods of different VOCs. This meta-analysis was conducted following the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and registered with PROSPERO (CRD42023431572). RESULTS There were variations in the CFRs among different variants of COVID-19 (Alpha: 2.62%, Beta: 4.19%, Gamma: 3.60%, Delta: 2.01%, Omicron: 0.70%), and disparities in CFRs also existed among continents. On the whole, the CFRs of COVID-19 in Europe and Oceania were slightly lower than in other continents. There was a statistically significant association between the variant, HDI value, age distribution, coverage of full vaccination of cases, and the CFR. CONCLUSIONS The CFRs of COVID-19 varied across the epidemic periods of different VOCs, and disparities existed among continents. The CFR value reflected combined effects of various factors within a certain context. Caution should be exercised when comparing CFRs due to disparities in testing capabilities and age distribution among countries, etc.
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Affiliation(s)
- Qianhang Xia
- Institute of Medical Information/Library, Chinese Academy of Medical Sciences, Beijing, China; Peking Union Medical College, Beijing, China
| | - Yujie Yang
- Institute of Medical Information/Library, Chinese Academy of Medical Sciences, Beijing, China; Peking Union Medical College, Beijing, China
| | - Fengling Wang
- Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong China
| | - Zhongyue Huang
- Institute of Medical Information/Library, Chinese Academy of Medical Sciences, Beijing, China; Peking Union Medical College, Beijing, China
| | - Wuqi Qiu
- Institute of Medical Information/Library, Chinese Academy of Medical Sciences, Beijing, China; Peking Union Medical College, Beijing, China
| | - Ayan Mao
- Institute of Medical Information/Library, Chinese Academy of Medical Sciences, Beijing, China; Peking Union Medical College, Beijing, China.
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16
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Fumagalli V, Ravà M, Marotta D, Di Lucia P, Bono EB, Giustini L, De Leo F, Casalgrandi M, Monteleone E, Mouro V, Malpighi C, Perucchini C, Grillo M, De Palma S, Donnici L, Marchese S, Conti M, Muramatsu H, Perlman S, Pardi N, Kuka M, De Francesco R, Bianchi ME, Guidotti LG, Iannacone M. Antibody-independent protection against heterologous SARS-CoV-2 challenge conferred by prior infection or vaccination. Nat Immunol 2024; 25:633-643. [PMID: 38486021 PMCID: PMC11003867 DOI: 10.1038/s41590-024-01787-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 02/13/2024] [Indexed: 04/11/2024]
Abstract
Vaccines have reduced severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) morbidity and mortality, yet emerging variants challenge their effectiveness. The prevailing approach to updating vaccines targets the antibody response, operating under the presumption that it is the primary defense mechanism following vaccination or infection. This perspective, however, can overlook the role of T cells, particularly when antibody levels are low or absent. Here we show, through studies in mouse models lacking antibodies but maintaining functional B cells and lymphoid organs, that immunity conferred by prior infection or mRNA vaccination can protect against SARS-CoV-2 challenge independently of antibodies. Our findings, using three distinct models inclusive of a novel human/mouse ACE2 hybrid, highlight that CD8+ T cells are essential for combating severe infections, whereas CD4+ T cells contribute to managing milder cases, with interferon-γ having an important function in this antibody-independent defense. These findings highlight the importance of T cell responses in vaccine development, urging a broader perspective on protective immunity beyond just antibodies.
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Affiliation(s)
- Valeria Fumagalli
- Division of Immunology, Transplantation, and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Micol Ravà
- Division of Immunology, Transplantation, and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Davide Marotta
- Division of Immunology, Transplantation, and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Pietro Di Lucia
- Division of Immunology, Transplantation, and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Elisa B Bono
- Division of Immunology, Transplantation, and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Leonardo Giustini
- Division of Immunology, Transplantation, and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Federica De Leo
- Division of Genetics and Cell Biology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | | | | | - Violette Mouro
- Division of Immunology, Transplantation, and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Chiara Malpighi
- Division of Immunology, Transplantation, and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Chiara Perucchini
- Division of Immunology, Transplantation, and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Marta Grillo
- Division of Immunology, Transplantation, and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Sara De Palma
- Division of Immunology, Transplantation, and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Charles River Laboratories, Calco, Italy
| | - Lorena Donnici
- Istituto Nazionale di Genetica Molecolare (INGM) 'Romeo ed Enrica Invernizzi', Milan, Italy
| | - Silvia Marchese
- Department of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy
| | - Matteo Conti
- Istituto Nazionale di Genetica Molecolare (INGM) 'Romeo ed Enrica Invernizzi', Milan, Italy
| | - Hiromi Muramatsu
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Stanley Perlman
- Department of Microbiology and Immunology, University of Iowa, Iowa City, IA, USA
- Department of Pediatrics, University of Iowa, Iowa City, IA, USA
| | - Norbert Pardi
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Mirela Kuka
- Division of Immunology, Transplantation, and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Raffaele De Francesco
- Istituto Nazionale di Genetica Molecolare (INGM) 'Romeo ed Enrica Invernizzi', Milan, Italy
- Department of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy
| | - Marco E Bianchi
- Vita-Salute San Raffaele University, Milan, Italy.
- Division of Genetics and Cell Biology, IRCCS San Raffaele Scientific Institute, Milan, Italy.
| | - Luca G Guidotti
- Division of Immunology, Transplantation, and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy.
- Vita-Salute San Raffaele University, Milan, Italy.
| | - Matteo Iannacone
- Division of Immunology, Transplantation, and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy.
- Vita-Salute San Raffaele University, Milan, Italy.
- Experimental Imaging Centre, IRCCS San Raffaele Scientific Institute, Milan, Italy.
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17
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Gardner BJ, Kilpatrick AM. Predicting Vaccine Effectiveness for Hospitalization and Symptomatic Disease for Novel SARS-CoV-2 Variants Using Neutralizing Antibody Titers. Viruses 2024; 16:479. [PMID: 38543844 PMCID: PMC10975673 DOI: 10.3390/v16030479] [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: 02/16/2024] [Revised: 03/14/2024] [Accepted: 03/19/2024] [Indexed: 05/23/2024] Open
Abstract
The emergence of new virus variants, including the Omicron variant (B.1.1.529) of SARS-CoV-2, can lead to reduced vaccine effectiveness (VE) and the need for new vaccines or vaccine doses if the extent of immune evasion is severe. Neutralizing antibody titers have been shown to be a correlate of protection for SARS-CoV-2 and other pathogens, and could be used to quickly estimate vaccine effectiveness for new variants. However, no model currently exists to provide precise VE estimates for a new variant against severe disease for SARS-CoV-2 using robust datasets from several populations. We developed predictive models for VE against COVID-19 symptomatic disease and hospitalization across a 54-fold range of mean neutralizing antibody titers. For two mRNA vaccines (mRNA-1273, BNT162b2), models fit without Omicron data predicted that infection with the BA.1 Omicron variant increased the risk of hospitalization 2.8-4.4-fold and increased the risk of symptomatic disease 1.7-4.2-fold compared to the Delta variant. Out-of-sample validation showed that model predictions were accurate; all predictions were within 10% of observed VE estimates and fell within the model prediction intervals. Predictive models using neutralizing antibody titers can provide rapid VE estimates, which can inform vaccine booster timing, vaccine design, and vaccine selection for new virus variants.
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Affiliation(s)
- Billy J. Gardner
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, CA 95060, USA
| | - A. Marm Kilpatrick
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, CA 95060, USA
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18
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Calles-Cabanillas LE, Aguillón-Durán GP, Ayala D, Caso JA, Garza M, Joya-Ayala M, Cruz-Gonzalez AM, Loera-Salazar R, Prieto-Martinez E, Rodríguez-Herrera JE, Garcia-Oropesa EM, Thomas JM, Lee M, Torrelles JB, Restrepo BI. Interaction between type 2 diabetes and past COVID-19 on active tuberculosis. RESEARCH SQUARE 2024:rs.3.rs-3989104. [PMID: 38559235 PMCID: PMC10980154 DOI: 10.21203/rs.3.rs-3989104/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
BACKGROUND The global setback in tuberculosis (TB) prevalence and mortality in the post-COVID-19 era have been partially attributed to pandemic-related disruptions in healthcare systems. The additional biological contribution of COVID-19 to TB is less clear. The goal of this study was to determine if there is an association between COVID-19 in the past 18 months and a new TB episode, and the role played by type 2 diabetes mellitus (DM) comorbidity in this relationship. METHODS A cross-sectional study was conducted among 112 new active TB patients and 373 non-TB controls, identified between June 2020 and November 2021 in communities along the Mexican border with Texas. Past COVID-19 was based on self-report or positive serology. Bivariable/multivariable analysis were used to evaluate the odds of new TB in hosts with past COVID-19 and/or DM status. RESULTS The odds of new TB were higher among past COVID-19 cases vs. controls, but only significant among DM patients (aOR 2.3). The odds of TB given DM was 2.7-fold among participants without past COVID-19 and increased to 7.9-fold among those with past COVID-19. CONCLUSION DM interacts with past COVID-19 synergistically to magnify the risk of TB. Latent TB screening and prophylactic treatment, if positive, is recommended in this COVID-19/DM/latent TB high-risk group.
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Affiliation(s)
| | | | - Doris Ayala
- University of Texas Health Science Center at Houston
| | - José A Caso
- University of Texas Health Science Center at Houston
| | - Miguel Garza
- University of Texas Health Science Center at Houston
| | | | | | | | | | | | | | | | - Miryoung Lee
- University of Texas Health Science Center at Houston
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19
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Magaret CA, Li L, deCamp AC, Rolland M, Juraska M, Williamson BD, Ludwig J, Molitor C, Benkeser D, Luedtke A, Simpkins B, Heng F, Sun Y, Carpp LN, Bai H, Dearlove BL, Giorgi EE, Jongeneelen M, Brandenburg B, McCallum M, Bowen JE, Veesler D, Sadoff J, Gray GE, Roels S, Vandebosch A, Stieh DJ, Le Gars M, Vingerhoets J, Grinsztejn B, Goepfert PA, de Sousa LP, Silva MST, Casapia M, Losso MH, Little SJ, Gaur A, Bekker LG, Garrett N, Truyers C, Van Dromme I, Swann E, Marovich MA, Follmann D, Neuzil KM, Corey L, Greninger AL, Roychoudhury P, Hyrien O, Gilbert PB. Quantifying how single dose Ad26.COV2.S vaccine efficacy depends on Spike sequence features. Nat Commun 2024; 15:2175. [PMID: 38467646 PMCID: PMC10928100 DOI: 10.1038/s41467-024-46536-w] [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: 05/16/2023] [Accepted: 02/29/2024] [Indexed: 03/13/2024] Open
Abstract
In the ENSEMBLE randomized, placebo-controlled phase 3 trial (NCT04505722), estimated single-dose Ad26.COV2.S vaccine efficacy (VE) was 56% against moderate to severe-critical COVID-19. SARS-CoV-2 Spike sequences were determined from 484 vaccine and 1,067 placebo recipients who acquired COVID-19. In this set of prespecified analyses, we show that in Latin America, VE was significantly lower against Lambda vs. Reference and against Lambda vs. non-Lambda [family-wise error rate (FWER) p < 0.05]. VE differed by residue match vs. mismatch to the vaccine-insert at 16 amino acid positions (4 FWER p < 0.05; 12 q-value ≤ 0.20); significantly decreased with physicochemical-weighted Hamming distance to the vaccine-strain sequence for Spike, receptor-binding domain, N-terminal domain, and S1 (FWER p < 0.001); differed (FWER ≤ 0.05) by distance to the vaccine strain measured by 9 antibody-epitope escape scores and 4 NTD neutralization-impacting features; and decreased (p = 0.011) with neutralization resistance level to vaccinee sera. VE against severe-critical COVID-19 was stable across most sequence features but lower against the most distant viruses.
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Affiliation(s)
- Craig A Magaret
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Li Li
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Allan C deCamp
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Morgane Rolland
- US Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, MD, USA
| | - Michal Juraska
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Brian D Williamson
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Biostatistics Division, Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - James Ludwig
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Cindy Molitor
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - David Benkeser
- Departments of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Alex Luedtke
- Department of Statistics, University of Washington, Seattle, WA, USA
| | - Brian Simpkins
- Department of Computer Science, Pitzer College, Claremont, CA, USA
| | - Fei Heng
- University of North Florida, Jacksonville, FL, USA
| | - Yanqing Sun
- University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Lindsay N Carpp
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Hongjun Bai
- US Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, MD, USA
| | - Bethany L Dearlove
- US Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, MD, USA
| | - Elena E Giorgi
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Mandy Jongeneelen
- Johnson & Johnson Innovative Medicine, Janssen Vaccines & Prevention B.V, Leiden, The Netherlands
| | - Boerries Brandenburg
- Johnson & Johnson Innovative Medicine, Janssen Vaccines & Prevention B.V, Leiden, The Netherlands
| | - Matthew McCallum
- Department of Biochemistry, University of Washington, Seattle, WA, USA
| | - John E Bowen
- Department of Biochemistry, University of Washington, Seattle, WA, USA
| | - David Veesler
- Department of Biochemistry, University of Washington, Seattle, WA, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
| | - Jerald Sadoff
- Johnson & Johnson Innovative Medicine, Janssen Vaccines & Prevention B.V, Leiden, The Netherlands
| | - Glenda E Gray
- Perinatal HIV Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- South African Medical Research Council, Cape Town, South Africa
| | - Sanne Roels
- Janssen R&D, a division of Janssen Pharmaceutica NV, Beerse, Belgium
| | - An Vandebosch
- Janssen R&D, a division of Janssen Pharmaceutica NV, Beerse, Belgium
| | - Daniel J Stieh
- Johnson & Johnson Innovative Medicine, Janssen Vaccines & Prevention B.V, Leiden, The Netherlands
| | - Mathieu Le Gars
- Johnson & Johnson Innovative Medicine, Janssen Vaccines & Prevention B.V, Leiden, The Netherlands
| | - Johan Vingerhoets
- Janssen R&D, a division of Janssen Pharmaceutica NV, Beerse, Belgium
| | - Beatriz Grinsztejn
- Evandro Chagas National Institute of Infectious Diseases-Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brazil
| | - Paul A Goepfert
- Division of Infectious Diseases, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Leonardo Paiva de Sousa
- Evandro Chagas National Institute of Infectious Diseases-Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brazil
| | - Mayara Secco Torres Silva
- Evandro Chagas National Institute of Infectious Diseases-Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brazil
| | - Martin Casapia
- Facultad de Medicina Humana, Universidad Nacional de la Amazonia Peru, Iquitos, Peru
| | - Marcelo H Losso
- Hospital General de Agudos José María Ramos Mejia, Buenos Aires, Argentina
| | - Susan J Little
- Division of Infectious Diseases, University of California San Diego, La Jolla, CA, USA
| | - Aditya Gaur
- Department of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Linda-Gail Bekker
- The Desmond Tutu HIV Centre, University of Cape Town, Observatory, Cape Town, South Africa
| | - Nigel Garrett
- Centre for the AIDS Programme of Research in South Africa, University of KwaZulu-Natal, Durban, South Africa
- Discipline of Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
| | - Carla Truyers
- Janssen R&D, a division of Janssen Pharmaceutica NV, Beerse, Belgium
| | - Ilse Van Dromme
- Janssen R&D, a division of Janssen Pharmaceutica NV, Beerse, Belgium
| | - Edith Swann
- Vaccine Research Program, Division of AIDS, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Mary A Marovich
- Vaccine Research Program, Division of AIDS, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Dean Follmann
- Biostatistics Research Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Kathleen M Neuzil
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Lawrence Corey
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Alexander L Greninger
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Biochemistry, University of Washington, Seattle, WA, USA
| | - Pavitra Roychoudhury
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Biochemistry, University of Washington, Seattle, WA, USA
| | - Ollivier Hyrien
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Peter B Gilbert
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
- Department of Biostatistics, University of Washington School of Public Health, Seattle, WA, USA.
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20
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Datta S, Vattiato G, Maclaren OJ, Hua N, Sporle A, Plank MJ. The impact of Covid-19 vaccination in Aotearoa New Zealand: A modelling study. Vaccine 2024; 42:1383-1391. [PMID: 38307744 DOI: 10.1016/j.vaccine.2024.01.101] [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: 12/07/2023] [Revised: 01/25/2024] [Accepted: 01/30/2024] [Indexed: 02/04/2024]
Abstract
Aotearoa New Zealand implemented a Covid-19 elimination strategy in 2020 and 2021, which enabled a large majority of the population to be vaccinated before being exposed to the virus. This strategy delivered one of the lowest pandemic mortality rates in the world. However, quantitative estimates of the population-level health benefits of vaccination are lacking. Here, we use a validated mathematical model of Covid-19 in New Zealand to investigate counterfactual scenarios with differing levels of vaccine coverage in different age and ethnicity groups. The model builds on earlier research by adding age- and time-dependent case ascertainment, the effect of antiviral medications, improved hospitalisation rate estimates, and the impact of relaxing control measures. The model was used for scenario analysis and policy advice for the New Zealand Government in 2022 and 2023. We compare the number of Covid-19 hospitalisations, deaths, and years of life lost in each counterfactual scenario to a baseline scenario that is fitted to epidemiological data between January 2022 and June 2023. Our results estimate that vaccines saved 6650 (95% credible interval [4424, 10180]) lives, and prevented 74500 [51000, 115400] years of life lost and 45100 [34400, 55600] hospitalisations during this 18-month period. Making the same comparison before the benefit of antiviral medications is accounted for, the estimated number of lives saved by vaccines increases to 7604 [5080, 11942]. Due to inequities in the vaccine rollout, vaccination rates among Māori were lower than in people of European ethnicity. Our results show that, if vaccination rates had been equitable, an estimated 11%-26% of the 292 Māori Covid-19 deaths that were recorded in this time period could have been prevented. We conclude that Covid-19 vaccination greatly reduced health burden in New Zealand and that equity needs to be a key focus of future vaccination programmes.
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Affiliation(s)
- Samik Datta
- Population Modelling group, National Institute of Water and Atmospheric Research, Wellington, New Zealand
| | - Giorgia Vattiato
- School of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand; Manaaki Whenua, Lincoln, New Zealand
| | - Oliver J Maclaren
- Department of Engineering Science, University of Auckland, Auckland, New Zealand
| | - Ning Hua
- Precision Driven Health, Auckland, New Zealand
| | - Andrew Sporle
- Department of Statistics, University of Auckland, Auckland, New Zealand; iNZight Analytics Ltd., Auckland, New Zealand
| | - Michael J Plank
- School of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand.
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21
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Marchant A, Van Damme P, Plotkin S, Neels P, Cassetti MC, Cramer J, Gruber MF, Goldblatt D, King D, Hartig-Merkel W, Vandeputte J. Enabling the evaluation of COVID-19 vaccines with correlates of protection. Biologicals 2024; 85:101723. [PMID: 37976940 DOI: 10.1016/j.biologicals.2023.101723] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 10/20/2023] [Accepted: 10/24/2023] [Indexed: 11/19/2023] Open
Abstract
In February 2023, a meeting about correlates of protection (CoPs) against COVID-19 was organized by the International Alliance for Biological Standardization, the European Plotkin Institute for Vaccinology, and Vaccinopolis. The meeting aimed at reviewing the evidence, drawing conclusions, and identifying knowledge gaps. Collection of evidence is not straightforward. Neutralizing antibodies correlate with protection and are used for immunobridging studies within and between vaccine platforms for approval of new COVID-19 vaccines. In preparation for the next pandemic, it is vital that rapidly authorized initial vaccines are available to perform immunobridging studies very early. Additional components of the immune response likely contribute to protection against symptomatic infection. Current evidence is strongest for T lymphocytes and binding antibodies. Further studies are needed to consolidate this evidence and define their potential role in the evaluation of vaccines. For evaluation of mucosal vaccines, identifying CoPs against infection and transmission is key; further research is needed to identify and standardize methods suitable for clinical studies. CoPs for broadly protective beta-coronavirus vaccines remain a critical area of research. The knowledge, expertise, and capacity exist to conduct clinical studies using different designs in different populations to discover and validate CoPs, facilitating and accelerating evaluation of novel vaccines/vaccination platforms.
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Affiliation(s)
- Arnaud Marchant
- Institute for Medical Immunology (IMI), European Plotkin Institute for Vaccinology (EPIV), Université libre de Bruxelles, 808 Route de Lennik, 1070, Brussels, Belgium.
| | - Pierre Van Damme
- Centre for the Evaluation of Vaccination, European Plotkin Institute for Vaccinology (EPIV), Vaccine & Infectious Disease Institute, University of Antwerp, Faculty of Medicine & Health Sciences, Vaccinopolis/University of Antwerp, Drie Eikenstraat 663, 2650, Edegem, Belgium.
| | - Stanley Plotkin
- University of Pennsylvania, 18902, Doylestown, Pennsylvania, United States.
| | - Pieter Neels
- International Alliance for Biological Standardization (IABS), Rue Mina-Audemars 3, 1204, Genève, Switzerland.
| | - Maria Cristina Cassetti
- Division of Microbiology and Infectious Diseases, National Institute of Allergy and Infectious Diseases (NIAID), National Institute of Health (NIH), 20852, United States.
| | - Jakob Cramer
- Coalition for Epidemic Preparedness Innovations (CEPI), Gibbs Building, 215 Euston Rd, Bloomsbury, London, NW1 2BE, United Kingdom.
| | - Marion F Gruber
- International AIDS Vaccine Initiative (IAVI), 125 Broad Street, New York, NY, 10004, United States.
| | - David Goldblatt
- Infection, Immunity, and Inflammation Department, Great Ormond Street Institute of Child Health, University College London and Great Ormond Street Children's Hospital, NHS Foundation Trust, 30 Guilford Street, London, WC1N 1EH, United Kingdom.
| | - Deborah King
- Wellcome Trust, Gibbs Building, 215 Euston Road, Bloomsbury, London, NW1 2BE, United Kingdom.
| | - Wendy Hartig-Merkel
- P95 Epidemiology & Pharmacovigilance, Koning Leopold III Laan 1, 3001, Leuven, Belgium.
| | - Joris Vandeputte
- International Alliance for Biological Standardization (IABS), Rue Mina-Audemars 3, 1204, Genève, Switzerland.
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22
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Tiwari S, Petrov AN, Golosov N, Devlin M, Welford M, DeGroote J, Degai T, Ksenofontov S. Regional geographies and public health lessons of the COVID-19 pandemic in the Arctic. Front Public Health 2024; 11:1324105. [PMID: 38259778 PMCID: PMC10801898 DOI: 10.3389/fpubh.2023.1324105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 12/15/2023] [Indexed: 01/24/2024] Open
Abstract
Objectives This study examines the COVID-19 pandemic's spatiotemporal dynamics in 52 sub-regions in eight Arctic states. This study further investigates the potential impact of early vaccination coverage on subsequent COVID-19 outcomes within these regions, potentially revealing public health insights of global significance. Methods We assessed the outcomes of the COVID-19 pandemic in Arctic sub-regions using three key epidemiological variables: confirmed cases, confirmed deaths, and case fatality ratio (CFR), along with vaccination rates to evaluate the effectiveness of the early vaccination campaign on the later dynamics of COVID-19 outcomes in these regions. Results From February 2020 to February 2023, the Arctic experienced five distinct waves of COVID-19 infections and fatalities. However, most Arctic regions consistently maintained Case Fatality Ratios (CFRs) below their respective national levels throughout these waves. Further, the regression analysis indicated that the impact of initial vaccination coverage on subsequent cumulative mortality rates and Case Fatality Ratio (CFR) was inverse and statistically significant. A common trend was the delayed onset of the pandemic in the Arctic due to its remoteness. A few regions, including Greenland, Iceland, the Faroe Islands, Northern Canada, Finland, and Norway, experienced isolated spikes in cases at the beginning of the pandemic with minimal or no fatalities. In contrast, Alaska, Northern Sweden, and Russia had generally high death rates, with surges in cases and fatalities. Conclusion Analyzing COVID-19 data from 52 Arctic subregions shows significant spatial and temporal variations in the pandemic's severity. Greenland, Iceland, the Faroe Islands, Northern Canada, Finland, and Norway exemplify successful pandemic management models characterized by low cases and deaths. These outcomes can be attributed to successful vaccination campaigns, and proactive public health initiatives along the delayed onset of the pandemic, which reduced the impact of COVID-19, given structural and population vulnerabilities. Thus, the Arctic experience of COVID-19 informs preparedness for future pandemic-like public health emergencies in remote regions and marginalized communities worldwide that share similar contexts.
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Affiliation(s)
- Sweta Tiwari
- ARCTICenter, University of Northern Iowa, Cedar Falls, IA, United States
- Department of Geography, University of Northern Iowa, Cedar Falls, IA, United States
| | - Andrey N. Petrov
- ARCTICenter, University of Northern Iowa, Cedar Falls, IA, United States
- Department of Geography, University of Northern Iowa, Cedar Falls, IA, United States
| | - Nikolay Golosov
- Department of Geography, Pennsylvania State University, University Park, PA, United States
| | - Michele Devlin
- United States Army War College, Carlisle, PA, United States
| | - Mark Welford
- Department of Geography, University of Northern Iowa, Cedar Falls, IA, United States
| | - John DeGroote
- Department of Geography, University of Northern Iowa, Cedar Falls, IA, United States
| | - Tatiana Degai
- ARCTICenter, University of Northern Iowa, Cedar Falls, IA, United States
- Department of Anthropology, University of Victoria, Victoria, BC, Canada
| | - Stanislav Ksenofontov
- ARCTICenter, University of Northern Iowa, Cedar Falls, IA, United States
- Department of Geography, University of Northern Iowa, Cedar Falls, IA, United States
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23
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Marrone G, Covino M, Merra G, Piccioni A, Amodeo A, Novelli A, Murri R, Pompili M, Gasbarrini A, Franceschi F. Ursodeoxycholic acid does not affect the clinical outcome of SARS-CoV-2 infection: A retrospective study of propensity score-matched cohorts. Liver Int 2024; 44:83-92. [PMID: 37735968 DOI: 10.1111/liv.15736] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Revised: 08/24/2023] [Accepted: 09/04/2023] [Indexed: 09/23/2023]
Abstract
BACKGROUND Ursodeoxycholic acid (UDCA) has been recently proposed as a modulator of angiotensin-converting enzyme 2 (ACE2) receptor expression, with potential effects on COVID-19. AIM AND STUDY DESIGN We retrospectively evaluated the clinical course and outcome of subjects taking UDCA admitted to the hospital for COVID-19 compared with matched infected subjects. Differences regarding the severity and outcome of the disease between treated and non-treated subjects were assessed. The Kaplan-Meier survival analysis and log-rank test were used to evaluate the effect of UDCA on all-cause intra-hospital mortality. RESULTS Among 6444 subjects with confirmed COVID-19 admitted to the emergency department (ED) from 1 March 2020 to 31 December 2022, 109 subjects were taking UDCA. After matching 629 subjects were included in the study: 521 in the no UDCA group and 108 in the UDCA group. In our matched cohort, 144 subjects (22.9%) died, 118 (22.6%) in the no-UDCA group and 26 (24.1%) in the UDCA group. The Kaplan-Meier analysis showed no significant difference in survival between groups. In univariate regression analysis, the presence of pneumonia, National Early Warning Score (NEWS) score, and Charlson Comorbidity Index (CCI) were significant independent predictors of death. At multivariate Cox regression analysis, age, NEWS, pneumonia and CCI index were confirmed significant independent predictors of death. UDCA treatment was not a predictor of survival both in univariate and multivariate regressions. CONCLUSIONS UDCA treatment does not appear to have significant effects on the outcome of COVID-19. Specially designed prospective studies are needed to evaluate efficacy in preventing infection and severe disease.
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Affiliation(s)
- Giuseppe Marrone
- Medical and Surgical Abdominal and Endocrine Metabolic Sciences AND Emergency, Anesthesiology and Resuscitation Departements, Fondazione Policlinico Universitario A. Gemelli-IRCCS, Rome, Italy
- Università Cattolica del Sacro Cuore, Rome, Italy
| | - Marcello Covino
- Medical and Surgical Abdominal and Endocrine Metabolic Sciences AND Emergency, Anesthesiology and Resuscitation Departements, Fondazione Policlinico Universitario A. Gemelli-IRCCS, Rome, Italy
- Università Cattolica del Sacro Cuore, Rome, Italy
| | - Giuseppe Merra
- Department of Biomedicine and Prevention, Università degli Studi di Roma Tor Vergata, Rome, Italy
| | - Andrea Piccioni
- Medical and Surgical Abdominal and Endocrine Metabolic Sciences AND Emergency, Anesthesiology and Resuscitation Departements, Fondazione Policlinico Universitario A. Gemelli-IRCCS, Rome, Italy
- Università Cattolica del Sacro Cuore, Rome, Italy
| | - Annamaria Amodeo
- Medical and Surgical Abdominal and Endocrine Metabolic Sciences AND Emergency, Anesthesiology and Resuscitation Departements, Fondazione Policlinico Universitario A. Gemelli-IRCCS, Rome, Italy
- Università Cattolica del Sacro Cuore, Rome, Italy
| | - Angela Novelli
- Medical and Surgical Abdominal and Endocrine Metabolic Sciences AND Emergency, Anesthesiology and Resuscitation Departements, Fondazione Policlinico Universitario A. Gemelli-IRCCS, Rome, Italy
- Università Cattolica del Sacro Cuore, Rome, Italy
| | - Rita Murri
- Medical and Surgical Abdominal and Endocrine Metabolic Sciences AND Emergency, Anesthesiology and Resuscitation Departements, Fondazione Policlinico Universitario A. Gemelli-IRCCS, Rome, Italy
- Università Cattolica del Sacro Cuore, Rome, Italy
| | - Maurizio Pompili
- Medical and Surgical Abdominal and Endocrine Metabolic Sciences AND Emergency, Anesthesiology and Resuscitation Departements, Fondazione Policlinico Universitario A. Gemelli-IRCCS, Rome, Italy
- Università Cattolica del Sacro Cuore, Rome, Italy
| | - Antonio Gasbarrini
- Medical and Surgical Abdominal and Endocrine Metabolic Sciences AND Emergency, Anesthesiology and Resuscitation Departements, Fondazione Policlinico Universitario A. Gemelli-IRCCS, Rome, Italy
- Università Cattolica del Sacro Cuore, Rome, Italy
| | - Francesco Franceschi
- Medical and Surgical Abdominal and Endocrine Metabolic Sciences AND Emergency, Anesthesiology and Resuscitation Departements, Fondazione Policlinico Universitario A. Gemelli-IRCCS, Rome, Italy
- Università Cattolica del Sacro Cuore, Rome, Italy
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24
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Lee JE, Jin KN, Hong H, Jeong YJ, Yoon SH. Effectiveness of COVID-19 Vaccines Over Time Against Clinical and Radiologic Outcomes Related to Severe SARS-CoV-2 Infection. Radiology 2024; 310:e231928. [PMID: 38259210 DOI: 10.1148/radiol.231928] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Background The impact of waning vaccine effectiveness on the severity of COVID-19-related findings discovered with radiologic examinations remains underexplored. Purpose To evaluate the effectiveness of vaccines over time against severe clinical and radiologic outcomes related to SARS-CoV-2 infections. Materials and Methods This multicenter retrospective study included patients in the Korean Imaging Cohort of COVID-19 database who were hospitalized for COVID-19 between June 2021 and December 2022. Patients who had received at least one dose of a SARS-CoV-2 vaccine were categorized based on the time elapsed between diagnosis and their last vaccination. Adjusted multivariable logistic regression analysis was used to estimate vaccine effectiveness against a composite of severe clinical outcomes (invasive ventilation, extracorporeal membrane oxygenation, or in-hospital death) and severe radiologic pneumonia (≥25% of lung involvement), and odds ratios (ORs) were compared between patients vaccinated within 90 days of diagnosis and those vaccinated more than 90 days before diagnosis. Results Of 4196 patients with COVID-19 (mean age, 66 years ± 17 [SD]; 2132 [51%] women, 2064 [49%] men), the ratio of severe pneumonia since their most recent vaccination was as follows: 90 days or less, 18% (277 of 1527); between 91 and 120 days, 22% (172 of 783); between 121 and 180 days, 27% (274 of 1032); between 181 and 240 days, 32% (159 of 496); and more than 240 days, 31% (110 of 358). Patients vaccinated more than 240 days before diagnosis showed increased odds of severe clinical outcomes compared with patients vaccinated within 90 days (OR = 1.94 [95% CI: 1.16, 3.24]; P = .01). Similarly, patients vaccinated more than 240 days before diagnosis showed increased odds of severe pneumonia on chest radiographs compared with patients vaccinated within 90 days (OR = 1.65 [95% CI: 1.13, 2.40]; P = .009). No difference in odds of severe clinical outcomes (P = .13 to P = .68) or severe pneumonia (P = .15 to P = .86) were observed between patients vaccinated 91-240 days before diagnosis and those vaccinated within 90 days of diagnosis. Conclusion Vaccine effectiveness against severe clinical outcomes and severe pneumonia related to SARS-CoV-2 infection gradually declined, with increased odds of both observed in patients vaccinated more than 240 days before diagnosis. © RSNA, 2024 Supplemental material is available for this article. See also the editorial by Wells in this issue.
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Affiliation(s)
- Jong Eun Lee
- From the Department of Radiology, Chonnam National University Hospital, Gwangju, Korea (J.E.L.); Department of Radiology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea (K.N.J.); Medical Research Collaborating Center, Seoul National University Hospital, Seoul, Korea (H.H.); Department of Radiology, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Korea (Y.J.J.); and Department of Radiology, Seoul National University College of Medicine, Institute of Radiation Medicine, Seoul National University Medical Research Center, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea (S.H.Y.)
| | - Kwang Nam Jin
- From the Department of Radiology, Chonnam National University Hospital, Gwangju, Korea (J.E.L.); Department of Radiology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea (K.N.J.); Medical Research Collaborating Center, Seoul National University Hospital, Seoul, Korea (H.H.); Department of Radiology, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Korea (Y.J.J.); and Department of Radiology, Seoul National University College of Medicine, Institute of Radiation Medicine, Seoul National University Medical Research Center, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea (S.H.Y.)
| | - Hyunsook Hong
- From the Department of Radiology, Chonnam National University Hospital, Gwangju, Korea (J.E.L.); Department of Radiology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea (K.N.J.); Medical Research Collaborating Center, Seoul National University Hospital, Seoul, Korea (H.H.); Department of Radiology, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Korea (Y.J.J.); and Department of Radiology, Seoul National University College of Medicine, Institute of Radiation Medicine, Seoul National University Medical Research Center, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea (S.H.Y.)
| | - Yeon Joo Jeong
- From the Department of Radiology, Chonnam National University Hospital, Gwangju, Korea (J.E.L.); Department of Radiology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea (K.N.J.); Medical Research Collaborating Center, Seoul National University Hospital, Seoul, Korea (H.H.); Department of Radiology, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Korea (Y.J.J.); and Department of Radiology, Seoul National University College of Medicine, Institute of Radiation Medicine, Seoul National University Medical Research Center, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea (S.H.Y.)
| | - Soon Ho Yoon
- From the Department of Radiology, Chonnam National University Hospital, Gwangju, Korea (J.E.L.); Department of Radiology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea (K.N.J.); Medical Research Collaborating Center, Seoul National University Hospital, Seoul, Korea (H.H.); Department of Radiology, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Korea (Y.J.J.); and Department of Radiology, Seoul National University College of Medicine, Institute of Radiation Medicine, Seoul National University Medical Research Center, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea (S.H.Y.)
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25
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Park HS, Yin A, Barranta C, Lee JS, Caputo CA, Sachithanandham J, Li M, Yoon S, Sitaras I, Jedlicka A, Eby Y, Ram M, Fernandez RE, Baker OR, Shenoy AG, Mosnaim GS, Fukuta Y, Patel B, Heath SL, Levine AC, Meisenberg BR, Spivak ES, Anjan S, Huaman MA, Blair JE, Currier JS, Paxton JH, Gerber JM, Petrini JR, Broderick PB, Rausch W, Cordisco ME, Hammel J, Greenblatt B, Cluzet VC, Cruser D, Oei K, Abinante M, Hammitt LL, Sutcliffe CG, Forthal DN, Zand MS, Cachay ER, Raval JS, Kassaye SG, Marshall CE, Yarava A, Lane K, McBee NA, Gawad AL, Karlen N, Singh A, Ford DE, Jabs DA, Appel LJ, Shade DM, Lau B, Ehrhardt S, Baksh SN, Shapiro JR, Ou J, Na YB, Knoll MD, Ornelas-Gatdula E, Arroyo-Curras N, Gniadek TJ, Caturegli P, Wu J, Ndahiro N, Betenbaugh MJ, Ziman A, Hanley DF, Casadevall A, Shoham S, Bloch EM, Gebo KA, Tobian AAR, Laeyendecker O, Pekosz A, Klein SL, Sullivan DJ. Outpatient COVID-19 convalescent plasma recipient antibody thresholds correlated to reduced hospitalizations within a randomized trial. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.04.13.23288353. [PMID: 37131659 PMCID: PMC10153328 DOI: 10.1101/2023.04.13.23288353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
BACKGROUND The COVID-19 convalescent plasma (CCP) viral specific antibody levels that translate into recipient post-transfusion antibody levels sufficient to prevent disease progression is not defined. METHODS This secondary analysis correlated donor and recipient antibody levels to hospitalization risk among unvaccinated, seronegative CCP recipients within the outpatient, double blind, randomized clinical trial that compared CCP to control plasma. The majority of COVID-19 CCP arm hospitalizations (15/17, 88%) occurred in this unvaccinated, seronegative subgroup. A functional cutoff to delineate recipient high versus low post-transfusion antibody levels was established by two methods: 1) analyzing virus neutralization-equivalent anti-S-RBD IgG responses in donors or 2) receiver operating characteristic (ROC) analysis. RESULTS SARS-CoV-2 anti-S-RBD IgG antibody was diluted by a factor of 21.3 into post-transfusion seronegative recipients from matched donor units. Viral specific antibody delivered approximated 1.2 mg. The high antibody recipients transfused early (symptom onset within 5 days) had no hospitalizations. A CCP recipient analysis for antibody thresholds correlated to reduced hospitalizations found a significant association with Fisher's exact test between early and high antibodies versus all other CCP recipients (or control plasma) with antibody cutoffs established by both methods-donor virus neutralization-based cutoff: (0/85; 0% versus 15/276; 5.6%) p=0.03 or ROC based cutoff: (0/94; 0% versus 15/267; 5.4%) p=0.01. CONCLUSION In unvaccinated, seronegative CCP recipients, early transfusion of plasma units corresponding to the upper 30% of all study donors reduced outpatient hospitalizations. These high antibody level plasma units, given early, should be reserved for therapeutic use.Trial registration: NCT04373460. FUNDING Defense Health Agency and others.
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Affiliation(s)
- Han-Sol Park
- W. Harry Feinstone Department of Molecular Microbiology and Immunology; Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Anna Yin
- W. Harry Feinstone Department of Molecular Microbiology and Immunology; Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Caelan Barranta
- W. Harry Feinstone Department of Molecular Microbiology and Immunology; Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - John S Lee
- W. Harry Feinstone Department of Molecular Microbiology and Immunology; Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Christopher A Caputo
- W. Harry Feinstone Department of Molecular Microbiology and Immunology; Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jaiprasath Sachithanandham
- W. Harry Feinstone Department of Molecular Microbiology and Immunology; Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Maggie Li
- W. Harry Feinstone Department of Molecular Microbiology and Immunology; Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Steve Yoon
- W. Harry Feinstone Department of Molecular Microbiology and Immunology; Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Ioannis Sitaras
- W. Harry Feinstone Department of Molecular Microbiology and Immunology; Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Anne Jedlicka
- W. Harry Feinstone Department of Molecular Microbiology and Immunology; Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Yolanda Eby
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Malathi Ram
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Reinaldo E Fernandez
- Department of Medicine, Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Owen R Baker
- Department of Medicine, Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Aarthi G Shenoy
- Department of Medicine, Division of Hematology and Oncology, MedStar Washington Hospital Center, Washington DC, USA
| | - Giselle S Mosnaim
- Division of Allergy and Immunology, Department of Medicine, NorthShore University Health System, Evanston, IL, USA
| | - Yuriko Fukuta
- Department of Medicine, Section of Infectious Diseases, Baylor College of Medicine, Houston, TX, USA
| | - Bela Patel
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, University of Texas Health Science Center, Houston, TX, USA
| | - Sonya L Heath
- Department of Medicine, Division of Infectious Diseases, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Adam C Levine
- Department of Emergency Medicine, Rhode Island Hospital, Brown University, Providence, RI, USA
| | | | - Emily S Spivak
- Department of Medicine, Division of Infectious Diseases, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Shweta Anjan
- Department of Medicine, Division of Infectious Diseases, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Moises A Huaman
- Department of Medicine, Division of Infectious Diseases, University of Cincinnati, Cincinnati, OH, USA
| | - Janis E Blair
- Department of Medicine, Division of Infectious Diseases, Mayo Clinic Hospital, Phoenix, AZ, USA
| | - Judith S Currier
- Department of Medicine, Division of Infectious Diseases, University of California, Los Angeles, CA, USA
| | - James H Paxton
- Department of Emergency Medicine, Wayne State University School of Medicine, Detroit, MI, USA
| | - Jonathan M Gerber
- Department of Medicine, Division of Hematology and Oncology, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | | | | | | | | | - Jean Hammel
- Nuvance Health Norwalk Hospital, Norwalk, CT, USA
| | | | - Valerie C Cluzet
- Nuvance Health Vassar Brothers Medical Center, Poughkeepsie, NY, USA
| | - Daniel Cruser
- Nuvance Health Vassar Brothers Medical Center, Poughkeepsie, NY, USA
| | | | | | - Laura L Hammitt
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Catherine G Sutcliffe
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Donald N Forthal
- Department of Medicine, Division of Infectious Diseases, University of California, Irvine, CA, USA
| | - Martin S Zand
- Department of Medicine, University of Rochester Medical Center, Rochester, NY, USA
| | - Edward R Cachay
- Department of Medicine, Division of Infectious Diseases, University of California, San Diego, CA, USA
| | - Jay S Raval
- Department of Pathology, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Seble G Kassaye
- Department of Medicine, Division of Infectious Diseases, Georgetown University Medical Center Washington DC, USA
| | - Christi E Marshall
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Anusha Yarava
- Department of Neurology, Brain Injury Outcomes, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Karen Lane
- Department of Neurology, Brain Injury Outcomes, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Nichol A McBee
- Department of Neurology, Brain Injury Outcomes, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Amy L Gawad
- Department of Neurology, Brain Injury Outcomes, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Nicky Karlen
- Department of Neurology, Brain Injury Outcomes, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Atika Singh
- Department of Neurology, Brain Injury Outcomes, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Daniel E Ford
- Institute for Clinical and Translational Research Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Douglas A Jabs
- Department of Ophthalmology Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Lawrence J Appel
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - David M Shade
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Bryan Lau
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Stephan Ehrhardt
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Sheriza N Baksh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Janna R Shapiro
- W. Harry Feinstone Department of Molecular Microbiology and Immunology; Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jiangda Ou
- Department of Neurology, Brain Injury Outcomes, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Yu Bin Na
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Maria D Knoll
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Elysse Ornelas-Gatdula
- Chemistry-Biology Interface Program, Zanvyl Krieger School of Arts & Sciences, Johns Hopkins University, Baltimore MD, USA
| | - Netzahualcoyotl Arroyo-Curras
- Chemistry-Biology Interface Program, Zanvyl Krieger School of Arts & Sciences, Johns Hopkins University, Baltimore MD, USA
- Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Thomas J Gniadek
- Department of Pathology and Laboratory Medicine, Northshore University Health System, Evanston, IL
| | - Patrizio Caturegli
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jinke Wu
- Advanced Mammalian Biomanufacturing Innovation Center, Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Nelson Ndahiro
- Advanced Mammalian Biomanufacturing Innovation Center, Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Michael J Betenbaugh
- Advanced Mammalian Biomanufacturing Innovation Center, Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Alyssa Ziman
- Department of Pathology and Laboratory Medicine, Wing-Kwai and Alice Lee-Tsing Chung Transfusion Service, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Daniel F Hanley
- Department of Neurology, Brain Injury Outcomes, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Arturo Casadevall
- W. Harry Feinstone Department of Molecular Microbiology and Immunology; Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Shmuel Shoham
- Department of Medicine, Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Evan M Bloch
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kelly A Gebo
- Department of Medicine, Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Aaron A R Tobian
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Oliver Laeyendecker
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, Baltimore, MD, USA
| | - Andrew Pekosz
- W. Harry Feinstone Department of Molecular Microbiology and Immunology; Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Sabra L Klein
- W. Harry Feinstone Department of Molecular Microbiology and Immunology; Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - David J Sullivan
- W. Harry Feinstone Department of Molecular Microbiology and Immunology; Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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26
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Khan K, Lustig G, Römer C, Reedoy K, Jule Z, Karim F, Ganga Y, Bernstein M, Baig Z, Jackson L, Mahlangu B, Mnguni A, Nzimande A, Stock N, Kekana D, Ntozini B, van Deventer C, Marshall T, Manickchund N, Gosnell BI, Lessells RJ, Karim QA, Abdool Karim SS, Moosa MYS, de Oliveira T, von Gottberg A, Wolter N, Neher RA, Sigal A. Evolution and neutralization escape of the SARS-CoV-2 BA.2.86 subvariant. Nat Commun 2023; 14:8078. [PMID: 38057313 PMCID: PMC10700484 DOI: 10.1038/s41467-023-43703-3] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 11/17/2023] [Indexed: 12/08/2023] Open
Abstract
Omicron BA.2.86 subvariant differs from Omicron BA.2 as well as recently circulating variants by over 30 mutations in the spike protein alone. Here we report on the isolation of the live BA.2.86 subvariant from a diagnostic swab collected in South Africa which we tested for escape from neutralizing antibodies and viral replication properties in cell culture. We found that BA.2.86 does not have significantly more escape relative to Omicron XBB.1.5 from neutralizing immunity elicited by either Omicron XBB-family subvariant infection or from residual neutralizing immunity of recently collected sera from the South African population. BA.2.86 does have extensive escape relative to ancestral virus with the D614G substitution (B.1 lineage) when neutralized by sera from pre-Omicron vaccinated individuals and relative to Omicron BA.1 when neutralized by sera from Omicron BA.1 infected individuals. BA.2.86 and XBB.1.5 show similar viral infection dynamics in the VeroE6-TMPRSS2 and H1299-ACE2 cell lines. We also investigate the relationship of BA.2.86 to BA.2 sequences. The closest BA.2 sequences are BA.2 samples from Southern Africa circulating in early 2022. Similarly, many basal BA.2.86 sequences were sampled in Southern Africa. This suggests that BA.2.86 potentially evolved in this region, and that unobserved evolution led to escape from neutralizing antibodies similar in scale to recently circulating strains of SARS-CoV-2.
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Affiliation(s)
- Khadija Khan
- Africa Health Research Institute, Durban, South Africa
- School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Gila Lustig
- Centre for the AIDS Programme of Research in South Africa, Durban, South Africa
| | - Cornelius Römer
- Biozentrum, University of Basel, Basel, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Kajal Reedoy
- Africa Health Research Institute, Durban, South Africa
| | - Zesuliwe Jule
- Africa Health Research Institute, Durban, South Africa
| | - Farina Karim
- Africa Health Research Institute, Durban, South Africa
- School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Yashica Ganga
- Africa Health Research Institute, Durban, South Africa
| | | | - Zainab Baig
- Africa Health Research Institute, Durban, South Africa
| | | | - Boitshoko Mahlangu
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases, a Division of the National Health Laboratory Service, Johannesburg, South Africa
| | - Anele Mnguni
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases, a Division of the National Health Laboratory Service, Johannesburg, South Africa
| | - Ayanda Nzimande
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases, a Division of the National Health Laboratory Service, Johannesburg, South Africa
| | - Nadine Stock
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases, a Division of the National Health Laboratory Service, Johannesburg, South Africa
| | - Dikeledi Kekana
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases, a Division of the National Health Laboratory Service, Johannesburg, South Africa
| | - Buhle Ntozini
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases, a Division of the National Health Laboratory Service, Johannesburg, South Africa
| | | | | | - Nithendra Manickchund
- Department of Infectious Diseases, Nelson R. Mandela School of Clinical Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Bernadett I Gosnell
- Department of Infectious Diseases, Nelson R. Mandela School of Clinical Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Richard J Lessells
- Centre for the AIDS Programme of Research in South Africa, Durban, South Africa
- KwaZulu-Natal Research Innovation and Sequencing Platform, Durban, South Africa
| | - Quarraisha Abdool Karim
- Centre for the AIDS Programme of Research in South Africa, Durban, South Africa
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Salim S Abdool Karim
- Centre for the AIDS Programme of Research in South Africa, Durban, South Africa
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Mahomed-Yunus S Moosa
- Department of Infectious Diseases, Nelson R. Mandela School of Clinical Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Tulio de Oliveira
- Centre for the AIDS Programme of Research in South Africa, Durban, South Africa
- KwaZulu-Natal Research Innovation and Sequencing Platform, Durban, South Africa
- Centre for Epidemic Response and Innovation, School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa
- Department of Global Health, University of Washington, Seattle, WA, USA
| | - Anne von Gottberg
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases, a Division of the National Health Laboratory Service, Johannesburg, South Africa
- School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Nicole Wolter
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases, a Division of the National Health Laboratory Service, Johannesburg, South Africa
- School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Richard A Neher
- Biozentrum, University of Basel, Basel, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Alex Sigal
- Africa Health Research Institute, Durban, South Africa.
- School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa.
- Centre for the AIDS Programme of Research in South Africa, Durban, South Africa.
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Hejazi NS, Shen X, Carpp LN, Benkeser D, Follmann D, Janes HE, Baden LR, El Sahly HM, Deng W, Zhou H, Leav B, Montefiori DC, Gilbert PB. Stochastic interventional approach to assessing immune correlates of protection: Application to the COVE messenger RNA-1273 vaccine trial. Int J Infect Dis 2023; 137:28-39. [PMID: 37820782 PMCID: PMC10841741 DOI: 10.1016/j.ijid.2023.09.012] [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: 07/13/2023] [Revised: 08/30/2023] [Accepted: 09/17/2023] [Indexed: 10/13/2023] Open
Abstract
BACKGROUND Stochastic interventional vaccine efficacy (SVE) analysis is a new approach to correlate of protection (CoP) analysis of a phase III trial that estimates how vaccine efficacy (VE) would change under hypothetical shifts of an immune marker. METHODS We applied nonparametric SVE methodology to the COVE trial of messenger RNA-1273 vs placebo to evaluate post-dose 2 pseudovirus neutralizing antibody (nAb) titer against the D614G strain as a CoP against COVID-19. Secondly, we evaluated the ability of these results to predict VE against variants based on shifts of geometric mean titers to variants vs D614G. Prediction accuracy was evaluated by 13 validation studies, including 12 test-negative designs. RESULTS SVE analysis of COVE supported post-dose 2 D614G titer as a CoP: estimated VE ranged from 66.9% (95% confidence interval: 36.2, 82.8%) to 99.3% (99.1, 99.4%) at 10-fold decreased or increased titer shifts, respectively. The SVE estimates only weakly predicted variant-specific VE estimates (concordance correlation coefficient 0.062 for post 2-dose VE). CONCLUSION SVE analysis of COVE supports nAb titer as a CoP for messenger RNA vaccines. Predicting variant-specific VE proved difficult due to many limitations. Greater anti-Omicron titers may be needed for high-level protection against Omicron vs anti-D614G titers needed for high-level protection against pre-Omicron COVID-19.
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Affiliation(s)
- Nima S Hejazi
- Department of Biostatistics, T.H. Chan School of Public Health, Harvard University, Boston, USA
| | - Xiaoying Shen
- Department of Surgery and Duke Human Vaccine Institute, Duke University Medical Center, Durham, USA
| | - Lindsay N Carpp
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, USA
| | - David Benkeser
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Dean Follmann
- Biostatistics Research Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, USA
| | - Holly E Janes
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, USA; Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, USA; Department of Biostatistics, University of Washington, Seattle, USA
| | - Lindsey R Baden
- Division of Infectious Diseases, Harvard Medical School, Brigham and Women's Hospital, Boston, USA
| | - Hana M El Sahly
- Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, USA
| | - Weiping Deng
- Infectious Disease Development, Moderna, Inc., Cambridge, USA
| | - Honghong Zhou
- Infectious Disease Development, Moderna, Inc., Cambridge, USA
| | - Brett Leav
- Infectious Disease Development, Moderna, Inc., Cambridge, USA
| | - David C Montefiori
- Department of Surgery and Duke Human Vaccine Institute, Duke University Medical Center, Durham, USA
| | - Peter B Gilbert
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, USA; Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, USA; Department of Biostatistics, University of Washington, Seattle, USA.
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Zhang FM, Huang T, Wang F, Zhang GS, Liu D, Dai J, Zhang JW, Li QH, Lin GQ, Gao D, Zhao J, Tian P. Discovery of highly potent covalent SARS-CoV-2 3CL pro inhibitors bearing 2-sulfoxyl-1,3,4-oxadiazole scaffold for combating COVID-19. Eur J Med Chem 2023; 260:115721. [PMID: 37598484 DOI: 10.1016/j.ejmech.2023.115721] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 08/08/2023] [Accepted: 08/10/2023] [Indexed: 08/22/2023]
Abstract
The coronavirus disease (COVID-19) pandemic, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has emerged as a major public health crisis, posing a significant threat to human well-being. Despite the availability of vaccines, COVID-19 continues to spread owing to the emergence of SARS-CoV-2 mutants. This highlights the urgent need for the discovery of more effective drugs to combat COVID-19. As an important target for COVID-19 treatment, 3C-like protease (3CLpro) plays a crucial role in the replication of SARS-CoV-2. In our previous research, we demonstrated the potent inhibitory activities of compound A1, which contains a 2-sulfonyl-1,3,4-oxadiazole scaffold, against SARS-CoV-2 3CLpro. Herein, we present a detailed investigation of structural optimization of A1 and conduct a study on the structure-activity relationship. Among the various compounds tested, sulfoxide D6 demonstrates a potent irreversible inhibitory activity (IC50 = 0.030 μM) against SARS-CoV-2 3CLpro, as well as a favorable selectivity towards host cysteine proteases such as cathepsin B and cathepsin L. Utilizing mass spectrometry-based peptide profiling, we found that D6 covalently binds to Cys145 of SARS-CoV-2 3CLpro. Some representative compounds, namely C11, D9 and D10 also demonstrates antiviral activity against SARS-CoV-2 in Vero E6 cells. Overall, the investigation of the 2-sulfoxyl-1,3,4-oxadiazole scaffold as a novel cysteine reactive warhead would provide valuable insights into the design of potent covalent 3CLpro inhibitors for COVID-19 treatment.
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Affiliation(s)
- Fu-Mao Zhang
- The Research Center of Chiral Drugs, Shanghai Frontiers Science Center for TCM Chemical Biology, Innovation Research Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Ting Huang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510182, China
| | - Feng Wang
- The Research Center of Chiral Drugs, Shanghai Frontiers Science Center for TCM Chemical Biology, Innovation Research Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Gui-Shan Zhang
- The Research Center of Chiral Drugs, Shanghai Frontiers Science Center for TCM Chemical Biology, Innovation Research Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Donglan Liu
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510182, China
| | - Jun Dai
- Guangzhou Customs District Technology Center, Guangzhou, 510700, China
| | - Jian-Wei Zhang
- The Research Center of Chiral Drugs, Shanghai Frontiers Science Center for TCM Chemical Biology, Innovation Research Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Qing-Hua Li
- The Research Center of Chiral Drugs, Shanghai Frontiers Science Center for TCM Chemical Biology, Innovation Research Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Guo-Qiang Lin
- The Research Center of Chiral Drugs, Shanghai Frontiers Science Center for TCM Chemical Biology, Innovation Research Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Dingding Gao
- The Research Center of Chiral Drugs, Shanghai Frontiers Science Center for TCM Chemical Biology, Innovation Research Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
| | - Jincun Zhao
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510182, China.
| | - Ping Tian
- The Research Center of Chiral Drugs, Shanghai Frontiers Science Center for TCM Chemical Biology, Innovation Research Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
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29
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Zachreson C, Tobin R, Szanyi J, Walker C, Cromer D, Shearer FM, Conway E, Ryan G, Cheng A, McCaw JM, Geard N. Individual variation in vaccine immune response can produce bimodal distributions of protection. Vaccine 2023; 41:6630-6636. [PMID: 37793975 DOI: 10.1016/j.vaccine.2023.09.025] [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: 02/14/2023] [Revised: 09/14/2023] [Accepted: 09/14/2023] [Indexed: 10/06/2023]
Abstract
The ability for vaccines to protect against infectious diseases varies among individuals, but computational models employed to inform policy typically do not account for this variation. Here we examine this issue: we implement a model of vaccine efficacy developed in the context of SARS-CoV-2 in order to evaluate the general implications of modelling correlates of protection on the individual level. Due to high levels of variation in immune response, the distributions of individual-level protection emerging from this model tend to be highly dispersed, and are often bimodal. We describe the specification of the model, provide an intuitive parameterisation, and comment on its general robustness. We show that the model can be viewed as an intermediate between the typical approaches that consider the mode of vaccine action to be either "all-or-nothing" or "leaky". Our view based on this analysis is that individual variation in correlates of protection is an important consideration that may be crucial to designing and implementing models for estimating population-level impacts of vaccination programs.
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Affiliation(s)
- Cameron Zachreson
- School of Computing and Information Systems, The University of Melbourne, Parkville, Victoria, Australia.
| | - Ruarai Tobin
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Joshua Szanyi
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Camelia Walker
- School of Mathematics and Statistics, The University of Melbourne, Parkville, Victoria, Australia
| | - Deborah Cromer
- Kirby Institute, University of New South Wales, Sydney, New South Wales, Australia
| | - Freya M Shearer
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia; Telethon Kids Institute, Nedlands, Western Australia, Australia
| | - Eamon Conway
- The Walter and Eliza Hall Institute, Melbourne, Victoria, Australia
| | - Gerard Ryan
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia; Telethon Kids Institute, Nedlands, Western Australia, Australia
| | - Allen Cheng
- Monash Infectious Diseases, Monash Health and School of Clinical Sciences, Monash University, Clayton, Victoria, Australia
| | - James M McCaw
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia; School of Mathematics and Statistics, The University of Melbourne, Parkville, Victoria, Australia
| | - Nicholas Geard
- School of Computing and Information Systems, The University of Melbourne, Parkville, Victoria, Australia
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30
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Schest S, Langer C, Stiegler Y, Karnuth B, Arends J, Stiegler H, Masetto T, Peter C, Grimmler M. Vaccine-induced SARS-CoV-2 antibody response: the comparability of S1-specific binding assays depends on epitope and isotype discrimination. Front Immunol 2023; 14:1257265. [PMID: 37965324 PMCID: PMC10641008 DOI: 10.3389/fimmu.2023.1257265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 09/28/2023] [Indexed: 11/16/2023] Open
Abstract
Background Quantification of the SARS-CoV-2-specific immune response by serological immunoassays is critical for the management of the COVID-19 pandemic. In particular, neutralizing antibody titers to the viral spike (S) protein have been proposed as a correlate of protection (CoP). The WHO established the First International Standard (WHO IS) for anti-SARS-CoV-2 immunoglobulin (Ig) (NIBSC 20/136) to harmonize binding assays with the same antigen specificity by assigning the same unitage in binding antibody units (BAU)/ml. Method In this study, we analyzed the S1-specific antibody response in a cohort of healthcare workers in Germany (n = 76) during a three-dose vaccination course over 8.5 months. Subjects received either heterologous or homologous prime-boost vaccination with ChAdOx1 nCoV-19 (AstraZeneca) and BNT162b2 (Pfizer-BioNTech) or three doses of BNT162b2. Antibodies were quantified using three anti-S1 binding assays (ELISA, ECLIA, and PETIA) harmonized to the WHO IS. Serum levels of neutralizing antibodies were determined using a surrogate virus neutralization test (sVNT). Binding assays were compared using Spearman's rank correlation and Passing-Bablok regression. Findings All assays showed good correlation and similar antibody kinetics correlating with neutralizing potential. However, the assays show large proportional differences in BAU/ml. ECLIA and PETIA, which detect total antibodies against the receptor- binding domain (RBD) within the S1 subunit, interact similarly with the convalescent plasma-derived WHO IS but differently with vaccine serum, indicating a high sensitivity to the IgG/IgM/IgA ratio. Conclusion All three binding assays allow monitoring of the antibody response in COVID-19-vaccinated individuals. However, the assay-specific differences hinder the definition of a common protective threshold in BAU/ml. Our results highlight the need for the thoughtful use of conversion factors and consideration of method-specific differences. To improve the management of future pandemics and harmonize total antibody assays, we should strive for reference material with a well-characterized Ig isotype composition.
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Affiliation(s)
- Silvia Schest
- Medizinisches Versorgungszentrum für Labormedizin und Mikrobiologie Ruhr GmbH, Essen, Germany
- Health University of Applied Sciences Tyrol, Innsbruck, Austria
| | - Claus Langer
- Medizinisches Versorgungszentrum für Labormedizin und Mikrobiologie Ruhr GmbH, Essen, Germany
| | - Yuriko Stiegler
- Medizinisches Versorgungszentrum für Labormedizin und Mikrobiologie Ruhr GmbH, Essen, Germany
| | - Bianca Karnuth
- Medizinisches Versorgungszentrum für Labormedizin und Mikrobiologie Ruhr GmbH, Essen, Germany
| | - Jan Arends
- Medizinisches Versorgungszentrum für Labormedizin und Mikrobiologie Ruhr GmbH, Essen, Germany
| | - Hugo Stiegler
- Medizinisches Versorgungszentrum für Labormedizin und Mikrobiologie Ruhr GmbH, Essen, Germany
| | - Thomas Masetto
- Institute of Molecular Medicine I, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- DiaSys Diagnostic Systems GmbH, Holzheim, Germany
| | - Christoph Peter
- Institute of Molecular Medicine I, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Matthias Grimmler
- DiaSys Diagnostic Systems GmbH, Holzheim, Germany
- Institute for Biomolecular Research, Hochschule Fresenius gGmbH, University of Applied Sciences, Idstein, Germany
- DiaServe Laboratories GmbH, Iffeldorf, Germany
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31
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Joo Y, Kim DK, Jeon YG, Kim AR, Do HN, Yoon SY, Kim JS, Jung SW, Hwang HS, Moon JY, Jeong KH, Lee SH, Kang SY, Kim YG. Comparison of Humoral Response between Third and Fourth Doses of COVID-19 Vaccine in Hemodialysis Patients. Vaccines (Basel) 2023; 11:1584. [PMID: 37896987 PMCID: PMC10610999 DOI: 10.3390/vaccines11101584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 10/03/2023] [Accepted: 10/10/2023] [Indexed: 10/29/2023] Open
Abstract
Dialysis patients are more likely to die or become hospitalized from coronavirus disease 2019 (COVID-19). Currently, only a few studies have evaluated the efficacy of a fourth booster vaccination in hemodialysis (HD) patients and there is not enough evidence to recommend for or against a fourth booster vaccination. This study compared the humoral response and disease severity of patients on HD who received either three or four doses of COVID-19 vaccine. A total of 88 patients were enrolled. Humoral response to vaccination was measured by quantifying immunoglobulin G levels against the receptor binding domain of SARS-CoV-2 (anti-RBD IgG) at five different times and plaque reduction neutralization tests (PRNT) at two different times after vaccination over a period of 18 months. Antibody levels were measured at approximately two-month intervals after the first and second dose, then four months after the third dose, and then one to six months after the fourth dose of vaccine. PRNT was performed two months after the second and four months after the third dose of vaccine. We classified patients into four groups according to the number of vaccine doses and presence of COVID-19 infection. Severe infection was defined as hospital admission for greater than or equal to two weeks or death. There was no difference in antibody levels between naïve and infected patients except after a fourth vaccination, which was effective for increasing antibodies in infection-naïve patients. Age, sex, body mass index (BMI), dialysis vintage, and presence of diabetes mellitus (DM) did not show a significant correlation with antibody levels. Four patients who experienced severe COVID-19 disease tended to have lower antibody levels prior to infection. A fourth dose of SARS-CoV-2 vaccine significantly elevated antibodies in infection-naïve HD patients and may be beneficial for HD patients who have not been previously infected with SARS-CoV-2 for protection against severe infection.
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Affiliation(s)
- Yoosun Joo
- Division of Nephrology, Department of Internal Medicine, Kyung Hee University College of Medicine, Kyung Hee University Hospital at Gangdong, Seoul 05278, Republic of Korea; (Y.J.); (S.W.J.); (J.-Y.M.); (S.-H.L.)
| | - Dae Kyu Kim
- Division of Nephrology, Department of Internal Medicine, Kyung Hee University College of Medicine, Kyung Hee University Medical Center, Seoul 02447, Republic of Korea; (D.K.K.); (S.-Y.Y.); (J.S.K.); (H.S.H.); (K.H.J.)
| | - Yun Gi Jeon
- Honorshill Hospital, Gimpo-si 10035, Republic of Korea;
| | - Ah-Ra Kim
- Division of Vaccine Clinical Research Center for Vaccine Research, National Institute of Infectious Diseases, Cheongju 34142, Republic of Korea; (A.-R.K.); (H.N.D.)
| | - Hyeon Nam Do
- Division of Vaccine Clinical Research Center for Vaccine Research, National Institute of Infectious Diseases, Cheongju 34142, Republic of Korea; (A.-R.K.); (H.N.D.)
| | - Soo-Young Yoon
- Division of Nephrology, Department of Internal Medicine, Kyung Hee University College of Medicine, Kyung Hee University Medical Center, Seoul 02447, Republic of Korea; (D.K.K.); (S.-Y.Y.); (J.S.K.); (H.S.H.); (K.H.J.)
| | - Jin Sug Kim
- Division of Nephrology, Department of Internal Medicine, Kyung Hee University College of Medicine, Kyung Hee University Medical Center, Seoul 02447, Republic of Korea; (D.K.K.); (S.-Y.Y.); (J.S.K.); (H.S.H.); (K.H.J.)
| | - Su Woong Jung
- Division of Nephrology, Department of Internal Medicine, Kyung Hee University College of Medicine, Kyung Hee University Hospital at Gangdong, Seoul 05278, Republic of Korea; (Y.J.); (S.W.J.); (J.-Y.M.); (S.-H.L.)
| | - Hyeon Seok Hwang
- Division of Nephrology, Department of Internal Medicine, Kyung Hee University College of Medicine, Kyung Hee University Medical Center, Seoul 02447, Republic of Korea; (D.K.K.); (S.-Y.Y.); (J.S.K.); (H.S.H.); (K.H.J.)
| | - Ju-Young Moon
- Division of Nephrology, Department of Internal Medicine, Kyung Hee University College of Medicine, Kyung Hee University Hospital at Gangdong, Seoul 05278, Republic of Korea; (Y.J.); (S.W.J.); (J.-Y.M.); (S.-H.L.)
| | - Kyung Hwang Jeong
- Division of Nephrology, Department of Internal Medicine, Kyung Hee University College of Medicine, Kyung Hee University Medical Center, Seoul 02447, Republic of Korea; (D.K.K.); (S.-Y.Y.); (J.S.K.); (H.S.H.); (K.H.J.)
| | - Sang-Ho Lee
- Division of Nephrology, Department of Internal Medicine, Kyung Hee University College of Medicine, Kyung Hee University Hospital at Gangdong, Seoul 05278, Republic of Korea; (Y.J.); (S.W.J.); (J.-Y.M.); (S.-H.L.)
| | - So-Young Kang
- Department of Laboratory Medicine, Kyung Hee University College of Medicine, Kyung Hee University Hospital at Gangdong, Seoul 05278, Republic of Korea;
| | - Yang Gyun Kim
- Division of Nephrology, Department of Internal Medicine, Kyung Hee University College of Medicine, Kyung Hee University Hospital at Gangdong, Seoul 05278, Republic of Korea; (Y.J.); (S.W.J.); (J.-Y.M.); (S.-H.L.)
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Painter MM, Johnston TS, Lundgreen KA, Santos JJS, Qin JS, Goel RR, Apostolidis SA, Mathew D, Fulmer B, Williams JC, McKeague ML, Pattekar A, Goode A, Nasta S, Baxter AE, Giles JR, Skelly AN, Felley LE, McLaughlin M, Weaver J, Kuthuru O, Dougherty J, Adamski S, Long S, Kee M, Clendenin C, da Silva Antunes R, Grifoni A, Weiskopf D, Sette A, Huang AC, Rader DJ, Hensley SE, Bates P, Greenplate AR, Wherry EJ. Prior vaccination promotes early activation of memory T cells and enhances immune responses during SARS-CoV-2 breakthrough infection. Nat Immunol 2023; 24:1711-1724. [PMID: 37735592 DOI: 10.1038/s41590-023-01613-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Accepted: 08/07/2023] [Indexed: 09/23/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection of vaccinated individuals is increasingly common but rarely results in severe disease, likely due to the enhanced potency and accelerated kinetics of memory immune responses. However, there have been few opportunities to rigorously study early recall responses during human viral infection. To better understand human immune memory and identify potential mediators of lasting vaccine efficacy, we used high-dimensional flow cytometry and SARS-CoV-2 antigen probes to examine immune responses in longitudinal samples from vaccinated individuals infected during the Omicron wave. These studies revealed heightened spike-specific responses during infection of vaccinated compared to unvaccinated individuals. Spike-specific cluster of differentiation (CD)4 T cells and plasmablasts expanded and CD8 T cells were robustly activated during the first week. In contrast, memory B cell activation, neutralizing antibody production and primary responses to nonspike antigens occurred during the second week. Collectively, these data demonstrate the functionality of vaccine-primed immune memory and highlight memory T cells as rapid responders during SARS-CoV-2 infection.
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Affiliation(s)
- Mark M Painter
- Institute for Immunology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
- Immune Health, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Timothy S Johnston
- Institute for Immunology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
- Immunology Graduate Group, University of Pennsylvania, Philadelphia, PA, USA
| | - Kendall A Lundgreen
- Department of Microbiology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Jefferson J S Santos
- Department of Microbiology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Juliana S Qin
- Immune Health, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Rishi R Goel
- Institute for Immunology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
- Immune Health, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Sokratis A Apostolidis
- Institute for Immunology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
- Immune Health, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
- Division of Rheumatology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Divij Mathew
- Institute for Immunology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Bria Fulmer
- Institute for Immunology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Justine C Williams
- Immune Health, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Michelle L McKeague
- Immune Health, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Ajinkya Pattekar
- Immune Health, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Ahmad Goode
- Immune Health, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Sean Nasta
- Immune Health, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Amy E Baxter
- Institute for Immunology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Josephine R Giles
- Institute for Immunology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
- Parker Institute for Cancer Immunotherapy, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Ashwin N Skelly
- Institute for Immunology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
- Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Laura E Felley
- Division of Infectious Disease, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Maura McLaughlin
- Institute for Immunology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Joellen Weaver
- Department of Genetics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Oliva Kuthuru
- Institute for Immunology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Jeanette Dougherty
- Immune Health, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Sharon Adamski
- Immune Health, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Sherea Long
- Immune Health, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Macy Kee
- Immune Health, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Cynthia Clendenin
- Immune Health, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Ricardo da Silva Antunes
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA, USA
| | - Alba Grifoni
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA, USA
| | - Daniela Weiskopf
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA, USA
| | - Alessandro Sette
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA, USA
- Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California, San Diego (UCSD), La Jolla, CA, USA
| | - Alexander C Huang
- Institute for Immunology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
- Parker Institute for Cancer Immunotherapy, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
- Division of Hematology/Oncology, Department of Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Daniel J Rader
- Department of Genetics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
- Penn Medicine Biobank, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Scott E Hensley
- Department of Microbiology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Paul Bates
- Department of Microbiology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Allison R Greenplate
- Institute for Immunology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
- Immune Health, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - E John Wherry
- Institute for Immunology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.
- Immune Health, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.
- Parker Institute for Cancer Immunotherapy, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.
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33
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Baird S, Ashley CL, Marsh‐Wakefield F, Alca S, Ashhurst TM, Ferguson AL, Lukeman H, Counoupas C, Post JJ, Konecny P, Bartlett A, Martinello M, Bull RA, Lloyd A, Grey A, Hutchings O, Palendira U, Britton WJ, Steain M, Triccas JA. A unique cytotoxic CD4 + T cell-signature defines critical COVID-19. Clin Transl Immunology 2023; 12:e1463. [PMID: 37645435 PMCID: PMC10461786 DOI: 10.1002/cti2.1463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 06/04/2023] [Accepted: 08/11/2023] [Indexed: 08/31/2023] Open
Abstract
Objectives SARS-CoV-2 infection causes a spectrum of clinical disease presentation, ranging from asymptomatic to fatal. While neutralising antibody (NAb) responses correlate with protection against symptomatic and severe infection, the contribution of the T-cell response to disease resolution or progression is still unclear. As newly emerging variants of concern have the capacity to partially escape NAb responses, defining the contribution of individual T-cell subsets to disease outcome is imperative to inform the development of next-generation COVID-19 vaccines. Methods Immunophenotyping of T-cell responses in unvaccinated individuals was performed, representing the full spectrum of COVID-19 clinical presentation. Computational and manual analyses were used to identify T-cell populations associated with distinct disease states. Results Critical SARS-CoV-2 infection was characterised by an increase in activated and cytotoxic CD4+ lymphocytes (CTL). These CD4+ CTLs were largely absent in asymptomatic to severe disease states. In contrast, non-critical COVID-19 was associated with high frequencies of naïve T cells and lack of activation marker expression. Conclusion Highly activated and cytotoxic CD4+ T-cell responses may contribute to cell-mediated host tissue damage and progression of COVID-19. Induction of these potentially detrimental T-cell responses should be considered when developing and implementing effective COVID-19 control strategies.
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Affiliation(s)
- Sarah Baird
- Sydney Infectious Diseases Institute, Faculty of Medicine and HealthThe University of SydneyNSWCamperdownAustralia
- School of Medical Sciences and Charles Perkins CentreThe University of SydneyCamperdownNSWAustralia
| | - Caroline L Ashley
- Sydney Infectious Diseases Institute, Faculty of Medicine and HealthThe University of SydneyNSWCamperdownAustralia
- School of Medical Sciences and Charles Perkins CentreThe University of SydneyCamperdownNSWAustralia
| | - Felix Marsh‐Wakefield
- School of Medical Sciences and Charles Perkins CentreThe University of SydneyCamperdownNSWAustralia
- Liver Injury and Cancer ProgramCentenary InstituteCamperdownNSWAustralia
- Human Cancer and Viral Immunology LaboratoryThe University of SydneyCamperdownNSWAustralia
| | - Sibel Alca
- Sydney Infectious Diseases Institute, Faculty of Medicine and HealthThe University of SydneyNSWCamperdownAustralia
- School of Medical Sciences and Charles Perkins CentreThe University of SydneyCamperdownNSWAustralia
| | - Thomas M Ashhurst
- School of Medical Sciences and Charles Perkins CentreThe University of SydneyCamperdownNSWAustralia
- Sydney Cytometry Core Research FacilityCharles Perkins Centre, Centenary Institute and The University of SydneyCamperdownNSWAustralia
| | - Angela L Ferguson
- School of Medical Sciences and Charles Perkins CentreThe University of SydneyCamperdownNSWAustralia
- Liver Injury and Cancer ProgramCentenary InstituteCamperdownNSWAustralia
| | - Hannah Lukeman
- Sydney Infectious Diseases Institute, Faculty of Medicine and HealthThe University of SydneyNSWCamperdownAustralia
- School of Medical Sciences and Charles Perkins CentreThe University of SydneyCamperdownNSWAustralia
| | - Claudio Counoupas
- Sydney Infectious Diseases Institute, Faculty of Medicine and HealthThe University of SydneyNSWCamperdownAustralia
- School of Medical Sciences and Charles Perkins CentreThe University of SydneyCamperdownNSWAustralia
- Tuberculosis Research ProgramCentenary InstituteSydneyNSWAustralia
| | - Jeffrey J Post
- Prince of Wales Clinical SchoolUNSWSydneyNSWAustralia
- School of Clinical Medicine, Medicine & HealthUNSWSydneyNSWAustralia
| | - Pamela Konecny
- Prince of Wales Clinical SchoolUNSWSydneyNSWAustralia
- St George HospitalSydneyNSWAustralia
| | - Adam Bartlett
- The Kirby Institute, UNSWSydneyNSWAustralia
- School of Biomedical Sciences, Medicine & HealthUNSWSydneyNSWAustralia
- Sydney Children's HospitalSydneyNSWAustralia
| | | | - Rowena A Bull
- The Kirby Institute, UNSWSydneyNSWAustralia
- School of Biomedical Sciences, Medicine & HealthUNSWSydneyNSWAustralia
| | - Andrew Lloyd
- The Kirby Institute, UNSWSydneyNSWAustralia
- School of Biomedical Sciences, Medicine & HealthUNSWSydneyNSWAustralia
| | - Alice Grey
- RPA Virtual Hospital, Sydney Local Health DistrictSydneyNSWAustralia
| | - Owen Hutchings
- RPA Virtual Hospital, Sydney Local Health DistrictSydneyNSWAustralia
| | - Umaimainthan Palendira
- School of Medical Sciences and Charles Perkins CentreThe University of SydneyCamperdownNSWAustralia
- Liver Injury and Cancer ProgramCentenary InstituteCamperdownNSWAustralia
| | - Warwick J Britton
- Tuberculosis Research ProgramCentenary InstituteSydneyNSWAustralia
- Department of Clinical ImmunologyRoyal Prince Alfred HospitalCamperdownNSWAustralia
| | - Megan Steain
- Sydney Infectious Diseases Institute, Faculty of Medicine and HealthThe University of SydneyNSWCamperdownAustralia
- School of Medical Sciences and Charles Perkins CentreThe University of SydneyCamperdownNSWAustralia
| | - James A Triccas
- Sydney Infectious Diseases Institute, Faculty of Medicine and HealthThe University of SydneyNSWCamperdownAustralia
- School of Medical Sciences and Charles Perkins CentreThe University of SydneyCamperdownNSWAustralia
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34
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Gunale B, Kapse D, Kar S, Bavdekar A, Kohli S, Lalwani S, Meshram S, Raut A, Kulkarni P, Samuel C, Munshi R, Gupta M, Plested JS, Cloney-Clark S, Zhu M, Pryor M, Hamilton S, Thakar M, Shete A, Dharmadhikari A, Bhamare C, Shaligram U, Poonawalla CS, Mallory RM, Glenn GM, Kulkarni PS. Safety and Immunogenicity of SARS-CoV-2 Recombinant Spike Protein Vaccine in Children and Adolescents in India: A Phase 2-3 Randomized Clinical Trial. JAMA Pediatr 2023; 177:2807909. [PMID: 37523166 PMCID: PMC10391359 DOI: 10.1001/jamapediatrics.2023.2552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 05/10/2023] [Indexed: 08/01/2023]
Abstract
Importance The recombinant COVID-19 vaccine NVX-CoV2373 has demonstrated efficacy of approximately 90% in adults; however, its safety and efficacy in children is unknown. Objective To assess the noninferiority of SII-NVX-CoV2373 in children and adolescents compared to adults and to evaluate its safety in comparison with placebo. Design, Setting, and Participants This phase 2-3 observer-blind randomized clinical trial was conducted in 2 cohorts, children (aged 2 to 11 years) and adolescents (aged 12 to 17 years) between August 2021 and August 2022. Participants were randomized 3:1 to SII-NVX-CoV2373 or placebo and monitored for 179 days. The participants, study team, and laboratory staff were blinded. This was a multicenter study conducted across 10 tertiary care hospitals in India. Exclusion criteria included previous COVID-19 infection or vaccination, immunocompromised condition, and immunosuppressive medications. Interventions Two doses of 0.5-mL SII-NVX-CoV2373 or placebo were administered intramuscularly on days 1 and 22. Main Outcomes and Measures Primary outcomes were geometric mean titer ratio of both anti-spike (anti-S) IgG and neutralizing antibodies (NAbs) between both pediatric age groups to that of adults on day 36. Noninferiority was concluded if the lower bound of 95% CI of this ratio was greater than 0.67 for each age group. Both the antibodies were assessed for the index strain and for selected variants at various time points. Solicited adverse events (AEs) were recorded for 7 days after each vaccination, unsolicited AEs were recorded for 35 days, and serious AEs and AEs of special interest were recorded for 179 days. Results A total of 460 children in each age cohort were randomized to receive vaccine or placebo. The mean (SD) age was 6.7 (2.7) years in the child cohort and 14.3 (1.6) years in the adolescent cohort; 231 participants (50.2%) in the child cohort and 218 in the adolescent cohort (47.4%) were female. Both anti-S IgG and NAb titers were markedly higher in the SII-NVX-CoV2373 group than in the placebo group on both day 36 and day 180. The geometric mean titer ratios compared to those in adults were 1.20 (95% CI, 1.08-1.34) and 1.52 (95% CI, 1.38-1.67) for anti-S IgG in adolescents and children, respectively; while for NAbs, they were 1.33 (95% CI, 1.17-1.50) and 1.93 (95% CI, 1.70-2.18) in adolescents and children, respectively, indicating noninferiority. SII-NVX-CoV2373 also showed immune responses against variants studied. Injection site reactions, fever, headache, malaise, and fatigue were common solicited AEs. There were no AEs of special interest and no causally related serious AEs. Conclusions and Relevance SII-NVX-CoV2373 was safe and well tolerated in children and adolescents in this study. The vaccine was highly immunogenic and may be used in pediatric vaccination against COVID-19. Trial Registration Clinical Trials Registry of India Identifier: CTRI/2021/02/031554.
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Affiliation(s)
| | | | - Sonali Kar
- Kalinga Institute of Medical Sciences, Bhubaneswar, Odisha, India
| | - Ashish Bavdekar
- King Edward Memorial Hospital Research Centre, Pune, Maharashtra, India
| | - Sunil Kohli
- Hamdard Institute of Medical Sciences and Research With Centre for Health Research and Development, New Delhi, India
| | - Sanjay Lalwani
- Bharati Vidyapeeth Deemed University Medical College and Hospital, Pune, Maharashtra, India
| | - Sushant Meshram
- Super Speciality Hospital, Government Medical College and Hospital, Nagpur, Maharashtra, India
| | - Abhishek Raut
- Sushila Nayar School of Public Health, Mahatma Gandhi Institute of Medical Sciences, Wardha, Maharashtra, India
| | - Praveen Kulkarni
- JSS Academy of Higher Education and Research, Mysore, Karnataka, India
| | - Clarence Samuel
- Christian Medical College & Hospital, Ludhiana, Punjab, India
| | - Renuka Munshi
- Topiwala National Medical College and Bai Yamunabai Laxman Nair Hospital, Mumbai, Maharashtra, India
| | - Madhu Gupta
- Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | | | | | | | | | | | - Madhuri Thakar
- Indian Council of Medical Research, National AIDS Research Institute, Pune, Maharashtra, India
| | - Ashwini Shete
- Indian Council of Medical Research, National AIDS Research Institute, Pune, Maharashtra, India
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Stadler E, Burgess MT, Schlub TE, Khan SR, Chai KL, McQuilten ZK, Wood EM, Polizzotto MN, Kent SJ, Cromer D, Davenport MP, Khoury DS. Monoclonal antibody levels and protection from COVID-19. Nat Commun 2023; 14:4545. [PMID: 37507368 PMCID: PMC10382502 DOI: 10.1038/s41467-023-40204-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 07/18/2023] [Indexed: 07/30/2023] Open
Abstract
Multiple monoclonal antibodies have been shown to be effective for both prophylaxis and therapy for SARS-CoV-2 infection. Here we aggregate data from randomized controlled trials assessing the use of monoclonal antibodies (mAb) in preventing symptomatic SARS-CoV-2 infection. We use data on the in vivo concentration of mAb and the associated protection from COVID-19 over time to model the dose-response relationship of mAb for prophylaxis. We estimate that 50% protection from COVID-19 is achieved with a mAb concentration of 96-fold of the in vitro IC50 (95% CI: 32-285). This relationship provides a tool for predicting the prophylactic efficacy of new mAb and against SARS-CoV-2 variants. Finally, we compare the relationship between neutralization titer and protection from COVID-19 after either mAb treatment or vaccination. We find no significant difference between the 50% protective titer for mAb and vaccination, although sample sizes limited the power to detect a difference.
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Affiliation(s)
- Eva Stadler
- Kirby Institute, University of New South Wales, Sydney, NSW, Australia
| | - Martin T Burgess
- School of Mathematics and Statistics, University of New South Wales, Sydney, NSW, Australia
| | - Timothy E Schlub
- Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Shanchita R Khan
- Kirby Institute, University of New South Wales, Sydney, NSW, Australia
| | - Khai Li Chai
- Transfusion Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Zoe K McQuilten
- Transfusion Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
- Department of Clinical Haematology, Monash Health, Clayton, VIC, Australia
| | - Erica M Wood
- Transfusion Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
- Department of Clinical Haematology, Monash Health, Clayton, VIC, Australia
| | - Mark N Polizzotto
- Clinical Hub for Interventional Research, College of Health and Medicine, The Australian National University, Canberra, ACT, Australia
- Department of Clinical Haematology, Canberra Region Cancer Centre, The Canberra Hospital, Canberra, ACT, Australia
| | - Stephen J Kent
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
- Melbourne Sexual Health Centre and Department of Infectious Diseases, Alfred Hospital and Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Deborah Cromer
- Kirby Institute, University of New South Wales, Sydney, NSW, Australia
| | - Miles P Davenport
- Kirby Institute, University of New South Wales, Sydney, NSW, Australia.
| | - David S Khoury
- Kirby Institute, University of New South Wales, Sydney, NSW, Australia.
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36
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Muangnoicharoen S, Wiangcharoen R, Nanthapisal S, Kamolratakul S, Lawpoolsri S, Jongkaewwattana A, Thitithanyanont A, Luvira V, Chinwangso P, Thanthamnu N, Chantratita N, Lim JK, Anh Wartel T, Excler JL, Ryser MF, Leong C, Mak TK, Pitisuttithum P. Single Ad26.COV2.S booster dose following two doses of BBIBP-CorV vaccine against SARS-CoV-2 infection in adults: Day 28 results of a phase 1/2 open-label trial. Vaccine 2023:S0264-410X(23)00718-1. [PMID: 37344265 DOI: 10.1016/j.vaccine.2023.06.043] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 06/12/2023] [Accepted: 06/12/2023] [Indexed: 06/23/2023]
Abstract
BACKGROUND The inactivated COVID-19 whole-virus vaccine BBIBP-CorV has been extensively used worldwide. Heterologous boosting after primary vaccination can induce higher immune responses against SARS-CoV-2 than homologous boosting. The safety and immunogenicity after 28 days of a single Ad26.COV2.S booster dose given at different intervals after 2 doses of BBIBP-CorV are presented. METHODS This open-label phase 1/2 trial was conducted in healthy adults in Thailand who had completed 2-dose primary vaccination with BBIBP-CorV. Participants received a single booster dose of Ad26.COV2.S (5 × 1010 virus particles) 90-240 days (Group A1; n = 360) or 45-75 days (Group A2; n = 66) after the second BBIBP-CorV dose. Safety and immunogenicity were assessed over 28 days. Binding IgG antibodies to the full-length pre-fusion Spike and anti-nucleocapsid proteins of SARS-CoV-2 were measured by enzyme-linked immunosorbent assay. The SARS-CoV-2 pseudovirus neutralization assay and live virus microneutralization assay were used to quantify the neutralizing activity of antibodies against ancestral SARS-CoV-2 (Wuhan-Hu-1) and the delta (B.1.617.2) and omicron (B.1.1.529/BA.1 and BA.2) variants. The cell-mediated immune response was measured using a quantitative interferon (IFN)-γ release assay in whole blood. RESULTS Solicited local and systemic adverse events (AEs) on days 0-7 were mostly mild, as were unsolicited vaccine-related AEs during days 0-28, with no serious AEs. On day 28, anti-Spike binding antibodies increased from baseline by 487- and 146-fold in Groups A1 and A2, and neutralizing antibodies against ancestral SARS-CoV-2 by 55- and 37-fold, respectively. Humoral responses were strongest against ancestral SARS-CoV-2, followed by the delta, then the omicron BA.2 and BA.1 variants. T-cell-produced interferon-γ increased approximately 10-fold in both groups. CONCLUSIONS A single heterologous Ad26.COV2.S booster dose after two BBIBP-CorV doses was well tolerated and induced robust humoral and cell-mediated immune responses measured at day 28 in both interval groups. CLINICAL TRIALS REGISTRATION NCT05109559.
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Affiliation(s)
- Sant Muangnoicharoen
- Vaccine Trial Centre, Faculty of Tropical Medicine, Mahidol University, 420/6 Ratchawithi Road, Ratchathewi, Bangkok 10400, Thailand
| | - Rakpong Wiangcharoen
- Phaholpolpayuhasena Hospital, 572 Saeng Chuto Road Muang, Kanchanaburi 71000, Thailand
| | - Sira Nanthapisal
- Faculty of Medicine, Thammasat University (Rangsit Campus), Pathum Thani, Thailand
| | - Supitcha Kamolratakul
- Vaccine Trial Centre, Faculty of Tropical Medicine, Mahidol University, 420/6 Ratchawithi Road, Ratchathewi, Bangkok 10400, Thailand
| | - Saranath Lawpoolsri
- Center of Excellence for Biomedical and Public Health Informatics (BIOPHICS), Bangkok, Thailand; Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Anan Jongkaewwattana
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Pathum Thani, Thailand
| | | | - Viravarn Luvira
- Vaccine Trial Centre, Faculty of Tropical Medicine, Mahidol University, 420/6 Ratchawithi Road, Ratchathewi, Bangkok 10400, Thailand
| | - Pailinrut Chinwangso
- Center of Excellence for Biomedical and Public Health Informatics (BIOPHICS), Bangkok, Thailand
| | - Narumon Thanthamnu
- Vaccine Trial Centre, Faculty of Tropical Medicine, Mahidol University, 420/6 Ratchawithi Road, Ratchathewi, Bangkok 10400, Thailand
| | | | | | - T Anh Wartel
- International Vaccine Institute, Seoul, Republic of Korea
| | | | | | - Chloe Leong
- Janssen Asia Pacific Medical Affairs Operations, Sydney, Australia
| | - Tippi K Mak
- Centre of Regulatory Excellence, Duke-NUS Medical School, Singapore; Vaccine and Infectious Disease Organization, University of Saskatchewan, Canada
| | - Punnee Pitisuttithum
- Vaccine Trial Centre, Faculty of Tropical Medicine, Mahidol University, 420/6 Ratchawithi Road, Ratchathewi, Bangkok 10400, Thailand.
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37
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Zaeck LM, GeurtsvanKessel CH, de Vries RD. COVID-19 vaccine effectiveness and evolving variants: understanding the immunological footprint. THE LANCET. RESPIRATORY MEDICINE 2023; 11:395-396. [PMID: 37080227 PMCID: PMC10109542 DOI: 10.1016/s2213-2600(23)00140-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 03/30/2023] [Indexed: 04/22/2023]
Affiliation(s)
- Luca M Zaeck
- Department of Viroscience, Erasmus University Medical Center, Rotterdam, Netherlands.
| | | | - Rory D de Vries
- Department of Viroscience, Erasmus University Medical Center, Rotterdam, Netherlands
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