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Kang H, Park J, Bae H, Chung YJ, Oh EJ. Single-Cell RNA Sequencing of Baseline Immune Profiles After Third Vaccination Associated with Subsequent SARS-CoV-2 Infection in Naïve Individuals. Int J Mol Sci 2025; 26:3494. [PMID: 40331973 PMCID: PMC12027237 DOI: 10.3390/ijms26083494] [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: 03/10/2025] [Revised: 04/01/2025] [Accepted: 04/07/2025] [Indexed: 05/08/2025] Open
Abstract
Even though vaccines protected many from infection, not all were protected, and vaccinated individuals displayed a wide range of clinical outcomes, from complete protection against infection to multiple breakthrough infections. This study aimed to identify baseline differences following identical ChAdOx1/ChAdOx1/BNT162b2 in infection-free and breakthrough-infected individuals to find molecular signatures linked to enhanced SARS-CoV-2 protection. Samples from a previous longitudinal study were analyzed, classifying subjects as 'Protected' or 'Infected' based on infection status over two years. SARS-CoV-2-specific immunological assays and single-cell RNA sequencing evaluated baseline differences. Although humoral response measurements showed no significant difference, enhanced cellular responses via enzyme-linked immunospot assays were observed in the Protected group. Differentially expressed genes and pathway analysis of T/NK subsets showed the Infected group had reduced inflammation and interferon responses. The Infected group also displayed downregulated interaction with CD4+ T cells. B subset analysis revealed more memory B cells in the Infected group, accompanied by downregulation of immune regulatory genes and upregulation of the small ubiquitin-related modifier pathway. Our findings revealed differential molecular signatures in the baseline immune subsets of vaccinated individuals with prolonged protection and breakthrough infection. Reduced immune regulation and altered cell interactions may contribute to breakthrough infection, providing insights for future vaccine development and targeted protective strategies.
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Affiliation(s)
- Hyunhye Kang
- Department of Laboratory Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea;
- Department of Laboratory Medicine, Shinwon Medical Foundation, Gwangmyeong-si 14316, Republic of Korea
| | - Junseong Park
- Cancer Evolution Research Center, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea;
- Precision Medicine Research Center, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
| | - Hyunjoo Bae
- Department of Medical Sciences, Graduate School, The Catholic University of Korea, Seoul 06591, Republic of Korea;
| | - Yeun-Jun Chung
- Precision Medicine Research Center, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
- Department of Microbiology, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
| | - Eun-Jee Oh
- Department of Laboratory Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea;
- Research and Development Institute for In Vitro Diagnostic Medical Devices, The Catholic University of Korea, Seoul 06591, Republic of Korea
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2
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Huang Y, Wang W, Liu Y, Wang Z, Cao B. COVID-19 vaccine updates for people under different conditions. SCIENCE CHINA. LIFE SCIENCES 2024; 67:2323-2343. [PMID: 39083202 DOI: 10.1007/s11427-024-2643-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Accepted: 06/06/2024] [Indexed: 10/22/2024]
Abstract
SARS-CoV-2 has caused global waves of infection since December 2019 and continues to persist today. The emergence of SARS-CoV-2 variants with strong immune evasion capabilities has compromised the effectiveness of existing vaccines against breakthrough infections. Therefore, it is important to determine the best utilization strategies for different demographic groups given the variety of vaccine options available. In this review, we will discuss the protective efficacy of vaccines during different stages of the epidemic and emphasize the importance of timely updates to target prevalent variants, which can significantly improve immune protection. While it is recognized that vaccine effectiveness may be lower in certain populations such as the elderly, individuals with chronic comorbidities (e.g., diabetes with poor blood glucose control, those on maintenance dialysis), or those who are immunocompromised compared to the general population, administering multiple doses can result in a strong protective immune response that outweighs potential risks. However, caution should be exercised when considering vaccines that might trigger an intense immune response in populations prone to inflammatory flare or other complications. In conclusion, individuals with special conditions require enhanced and more effective immunization strategies to prevent infection or reinfection, as well as to avoid the potential development of long COVID.
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Affiliation(s)
- Yijiao Huang
- National Center for Respiratory Medicine; State Key Laboratory of Respiratory Health and Multimorbidity; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, 100029, China
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, 100029, China
- School of Basic Medical Sciences, Tsinghua Medicine, Tsinghua University, Beijing, 100084, China
- Tsinghua University-Peking University Joint Centre for Life Sciences, Tsinghua University, Beijing, 100084, China
| | - Weiyang Wang
- National Center for Respiratory Medicine; State Key Laboratory of Respiratory Health and Multimorbidity; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, 100029, China
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, 100029, China
- Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Yan Liu
- National Center for Respiratory Medicine; State Key Laboratory of Respiratory Health and Multimorbidity; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, 100029, China
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, 100029, China
- Department of Infectious Disease, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, Shandong, 264000, China
| | - Zai Wang
- Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing, 100029, China.
| | - Bin Cao
- National Center for Respiratory Medicine; State Key Laboratory of Respiratory Health and Multimorbidity; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, 100029, China.
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, 100029, China.
- Tsinghua University-Peking University Joint Centre for Life Sciences, Tsinghua University, Beijing, 100084, China.
- Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, 100730, China.
- Changping Laboratory, Beijing, 102200, China.
- Department of Respiratory Medicine, Capital Medical University, Beijing, 100069, China.
- New Cornerstone Science Laboratory, China-Japan Friendship Hospital, Beijing, 100029, China.
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Bolormaa E, Shim J, Choi YS, Kwon D, Choe YJ, Choe SA. Methodology of comparative studies on the relative effectiveness of COVID-19 vaccines: a systematic review. Osong Public Health Res Perspect 2024; 15:395-408. [PMID: 39511961 PMCID: PMC11563719 DOI: 10.24171/j.phrp.2024.0063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2024] [Revised: 07/30/2024] [Accepted: 08/26/2024] [Indexed: 11/15/2024] Open
Abstract
BACKGROUND This study aimed to comprehensively outline the methodological approaches used in published research comparing the vaccine effectiveness (VE) of coronavirus disease 2019 (COVID-19) vaccines. METHODS A systematic search was conducted on June 13, 2024, to identify comparative studies evaluating the effectiveness of mRNA versus non-mRNA and monovalent versus bivalent COVID-19 vaccines. We screened titles, abstracts, and full texts, collecting data on publication year, country, sample size, study population composition, study design, VE estimates, outcomes, and covariates. Studies that reported relative VE (rVE) were analyzed separately from those that did not. RESULTS We identified 25 articles comparing rVE between mRNA and non-mRNA COVID-19 vaccines, as well as between monovalent and bivalent formulations. Among the studies assessing VE by vaccine type, 126 did not provide rVE estimates. Comparative VE studies frequently employed retrospective cohort designs. Among the definitions of rVE used, the most common were hazard ratio and absolute VE, calculated as (1-odds ratio)×100. Studies were most frequently conducted in the United Kingdom and the United States, and the most common outcome was infection. Most targeted the general population and assessed the VE of mRNA vaccines using the AstraZeneca vaccine as a reference. A small proportion, 7.3% (n=11), did not adjust for any variables. Only 3 studies (2.0%) adjusted for all core confounding variables recommended by the World Health Organization. CONCLUSION Few comparative studies of COVID-19 vaccines have incorporated rVE methodologies. Reporting rVE and employing a consistent set of covariates can broaden our understanding of COVID-19 vaccines.
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Affiliation(s)
- Erdenetuya Bolormaa
- Department of Preventive Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Jiae Shim
- Division of Epidemiological Investigation Analysis, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea
| | - Young-Sook Choi
- Division of Epidemiological Investigation Analysis, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea
| | - Donghyok Kwon
- Division of Epidemiological Investigation Analysis, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea
| | - Young June Choe
- Department of Pediatrics, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Seung-Ah Choe
- Department of Preventive Medicine, Korea University College of Medicine, Seoul, Republic of Korea
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4
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Mostafavi F, Bahardoust M, Sera F, Amirabadizadeh A, Allahyari S, Ssentongod P, Karami M, Hashemi Nazari SS. COVID-19 Vaccine Effectiveness of Booster Doses Against Delta and Omicron Variants Over Follow-up Times Using Longitudinal Meta-analysis. J Res Health Sci 2024; 24:e00626. [PMID: 39431651 PMCID: PMC11492529 DOI: 10.34172/jrhs.2024.161] [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: 04/15/2024] [Revised: 06/10/2024] [Accepted: 07/23/2024] [Indexed: 10/22/2024] Open
Abstract
BACKGROUND COVID-19 is a viral disease caused by the SARS-CoV-2, leading to several variants. This study aimed to examine the effectiveness of booster doses against the Delta and Omicron variants over different follow-up times. Study Design: This was a longitudinal meta-analysis. METHODS Searches were performed in PubMed, Cochrane Library, Scopus, and Web of Science databases, and eighty studies were selected for investigation. The analyses were separately performed on the unvaccinated control group (UNVCG) and the complete two doses of the vaccine control group (C2DCG) against Delta and Omicron variants. Three outcomes were examined, including symptomatic infection, hospitalization, and death. RESULTS Vaccine effectiveness (VE) in UNVCG studies for symptomatic infection revealed a non-linear trend against Omicron with a peak of 67.3%, declining to 27.1% after 25 weeks after a booster dose. The mean of VE for hospitalization over time started to decrease after four weeks against Omicron and after eight weeks against Delta. The VE reached a peak at week eight (96.0%) and started to decline with a VE of 93.3% after 20 weeks after the booster dose against Delta. It was 90.8% at week four and decreased to 73.4% after 25 weeks after the booster dose against Omicron. VE in the C2DCG studies demonstrated more decreases in outcomes over time. CONCLUSION Our findings showed a tendency to decrease effectiveness over time based on outcomes and variants. The early protection levels were lower in Omicron. Moreover, the VE decrease over time was stronger in Omicron compared to the Delta variant.
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Affiliation(s)
- Farideh Mostafavi
- Student Research Committee, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mansour Bahardoust
- Student Research Committee, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Francesco Sera
- Department of Statistics, Computer Science and Applications ‘G.Parenti’, University of Florence, Florence, Italy
| | - Alireza Amirabadizadeh
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, 9717113163, Iran
| | - Sepehr Allahyari
- Department of Virology, Doctor of Veterinary Medicine Student, Faculty of Veterinary Medicine, Garmsar Branch, Islamic Azad University, Tehran, Iran
| | - Paddy Ssentongod
- Department of Medicine, Penn State Milton S. Hershey Medical Center, Hershey, PA 17033, USA
| | - Manochehr Karami
- Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Seyed Saeed Hashemi Nazari
- Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Chalouni M, Loubet P, Lhomme E, Ninove L, Barrou B, Blay JY, Hourmant M, de Seze J, Laville M, Laviolle B, Lelièvre JD, Morel J, Quoc SN, Spano JP, Terrier B, Thiebaut A, Viallard JF, Vrtovsnik F, Circosta S, Barquin A, Gharib M, Tartour E, Parfait B, Thiébaut R, Meyer L, de Lamballerie X, Launay O, Wittkop L. Association between humoral serological markers levels and risk of SARS-CoV-2 infection after the primary COVID-19 vaccine course among ANRS0001S COV-POPART cohort participants. BMC Infect Dis 2024; 24:1049. [PMID: 39333909 PMCID: PMC11429529 DOI: 10.1186/s12879-024-09861-5] [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: 05/31/2024] [Accepted: 09/02/2024] [Indexed: 09/30/2024] Open
Abstract
BACKGROUND We assessed the prognostic value of serological humoral markers measured one month after the last dose of the primary COVID-19 vaccine course for predicting the risk of severe acute respiratory syndrome coronavirus 2 SARS-CoV-2 infection over the following six months in specific populations. METHODS ANRS0001SCOV-POPART is a French nationwide multicenter prospective observational cohort study assessing the immune response to Covid-19 vaccines routinely administered to 11 subgroups of patients with chronic disease and a control group. Participants from the ANRS0001S COV-POPART were included if they received at least two doses of Covid-19 vaccine for the primary vaccine course, had measurements of anti-Spike, anti-receptor binding domain (RBD) IgG-specific or neutralizing antibodies one month after the end of the primary vaccine course, without being infected by SARS-CoV-2 before the measurement. SARS-CoV-2 infections defined by a positive PCR/antigenic test or seroconversion to detectable anti nucleocapsid antibodies were evaluated until the first COVID-19 booster injection. Cox proportional hazards models taking into account interval-censored data were implemented to estimate the association between each antibody level and the risk of SARS-CoV-2 infection. Predictive performances were evaluated by the area under the receiving operating characteristic curve (AUROC). RESULTS Two thousand five hundred seventy adults from a specific population and 1,123 from the control group were included. The cumulative probabilities of SARS-CoV-2 infections at five months after serological measurement were 6.0% 95% confidence interval: [5.0; 7.9] and 10.1% 95% confidence interval: [8.3; 11.9], respectively. Higher levels of anti-Spike IgG antibody were associated with a lower risk of SARS-CoV-2 infections in the control group, but not in the specific populations. Among the specific populations, AUROC were 74.5%, 74.9%, and 72.4% for anti-Spike IgG, anti-RBD IgG, and neutralizing antibodies, respectively. AUROC were superior in the specific populations, 82.0%, 81.2%, and 81.4% for anti-Spike IgG, anti-RBD IgG, and neutralizing antibodies, respectively. CONCLUSIONS Vaccine-induced antibody response after the primary course of Covid-19 infection only moderately discriminated between participants developing a SARS-CoV-2 infection during the Omicron wave. TRIAL REGISTRATION NCT04824651 (first posted: 2021-04-01).
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Affiliation(s)
- Mathieu Chalouni
- Université de Bordeaux, ISPED, INSERM, Bordeaux Population Health Research Center, U1219, Bordeaux, F-33000, France
| | - Paul Loubet
- INSERM, F-CRIN, Reseau Innovative Clinical Research in Vaccinology (IREIVAC), Paris, France; Service des Maladies infectieuses et Tropicales, CHU de Nîmes, Nîmes, France; INSERM U1047 - Université de Montpellier, Nîmes, France
| | - Edouard Lhomme
- Université de Bordeaux, ISPED, INSERM, Bordeaux Population Health Research Center, U1219, Bordeaux, F-33000, France
- INRIA SISTM team, Talence, France
- Service d'Information médicale, CHU de Bordeaux, Bordeaux, F-33000, France
| | - Laetitia Ninove
- Unite des Virus Emergents, Aix-Marseille Université, Institut de Recherche pour le Développement 190, Inserm 1207, Institut Hospitalo-Universitaire Méditerranée Infection, Marseille, France
| | - Benoit Barrou
- Service de Transplantation Rénale, Pitié Salpêtrière, APHP, Sorbonne Université, Paris, France
| | - Jean-Yves Blay
- Centre Léon-Bérard, Département de cancérologie médicale, Lyon, France; Université Claude Bernard Lyon, Unicancer, Lyon, France
| | | | - Jérome de Seze
- CIC INSERM 1434, Strasbourg university hospital, Strasbourg, France
| | - Martine Laville
- INSERM U1191/UMR 5203, Université de Montpellier, Montpellier, France
- CHU de Lyon, Université de Lyon, Association Française d'Etudes et de Recherche de l'Obésité, INSERM, F-CRIN -French Obesity Research Centre of Excellence (FORCE) Network, Lyon, France
| | - Bruno Laviolle
- Université de Rennes, CHU Rennes, INSERM, CIC 1414, Rennes, France
| | | | - Jacques Morel
- Département de Rhumatologie, CHU et Université de Montpellier, Montpellier, France
| | - Stéphanie Nguyen Quoc
- Centre d'Immunologie et des Maladies Infectieuses-Paris, APHP-Sorbonne Université, INSERM U1135, CNRS ERL 8255, Paris, France
| | - Jean-Philippe Spano
- INSERM, institut Pierre-Louis d'épidémiologie et de santé publique (IPLESP), équipe TheraVir, AP-HP, Sorbonne université, hôpital universitaire Pitié-Salpêtrière, Oncologie médicale, CLIP2 Galilée, Sorbonne université, Paris, France
| | - Benjamin Terrier
- Service de Médecine Interne, Hôpital Cochin, APHP, Paris, France
| | - Anne Thiebaut
- Département d'Hématologie, CHU Grenoble Alpes, Grenoble, France
| | | | - François Vrtovsnik
- Département Hospitalo-Universitaire Fire, Service de Néphrologie, Hôpital Bichat-Claude Bernard, APHP, Université de Paris, Paris, France
| | - Sophie Circosta
- INSERM, SC10-US019 Essais thérapeutiques et Maladies Infectieuses, Paris, France
| | - Aude Barquin
- Université de Bordeaux, ISPED, INSERM, Bordeaux Population Health Research Center, U1219, Bordeaux, F-33000, France
| | - Mariam Gharib
- ANRS Maladies infectieuses émergentes (ANRS MIE), Paris, France
| | - Eric Tartour
- Service d'Immunologie biologique, Hôpital européen Georges Pompidou/APHP, Paris, France
| | - Béatrice Parfait
- Centre de ressources Biologiques, Hôpital Cochin, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Rodolphe Thiébaut
- Université de Bordeaux, ISPED, INSERM, Bordeaux Population Health Research Center, U1219, Bordeaux, F-33000, France
- INRIA SISTM team, Talence, France
- Service d'Information médicale, CHU de Bordeaux, Bordeaux, F-33000, France
| | - Laurence Meyer
- Université Paris Saclay, CESP Inserm U1018, APHP Service de Santé Publique, le Kremlin- Bicêtre, 94276, France
| | - Xavier de Lamballerie
- Unite des Virus Emergents, Aix-Marseille Université, Institut de Recherche pour le Développement 190, Inserm 1207, Institut Hospitalo-Universitaire Méditerranée Infection, Marseille, France
| | - Odile Launay
- INSERM, F-CRIN, Reseau Innovative Clinical Research in Vaccinology (IREIVAC), Paris, France; Service des Maladies infectieuses et Tropicales, CHU de Nîmes, Nîmes, France; INSERM U1047 - Université de Montpellier, Nîmes, France
- INSERM, F-CRIN, Reseau Innovative Clinical Research in Vaccinology (IREIVAC), Paris, France; Centre d'Investigation Clinique Cochin Pasteur, Hôpital Cochin/APHP, INSERM CIC 1417, Paris, France; Université de Paris, Paris, France
| | - Linda Wittkop
- Université de Bordeaux, ISPED, INSERM, Bordeaux Population Health Research Center, U1219, Bordeaux, F-33000, France.
- INRIA SISTM team, Talence, France.
- Service d'Information médicale, CHU de Bordeaux, Bordeaux, F-33000, France.
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Santos CS, Chen JP, Nikiphorou E, Tseng CW, Gutiérrez CET, Tan AL, Nune A, Kadam E, Kuwana M, Day J, Saha S, Velikova T, Lilleker JB, Caballero-Uribe CV, Sen P, Chinoy H, Aggarwal R, Agarwal V, Gupta L, Chen YM. Breakthrough SARS-CoV-2 infection and disease flares in patients with rheumatoid arthritis: result from COVAD e-survey study. Rheumatol Int 2024; 44:805-817. [PMID: 38470502 DOI: 10.1007/s00296-024-05542-3] [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: 01/03/2024] [Accepted: 01/16/2024] [Indexed: 03/14/2024]
Abstract
COVID-19 has been suggested as a possible trigger of disease flares in patients with rheumatoid arthritis (RA). However, factors associated with disease flares remain unknown. This study aimed to identify factors associated with breakthrough infection (BIs) and disease flares in patients with RA following COVID-19. We analysed data from RA patients who participated in the COVID-19 vaccination in autoimmune diseases (COVAD) study. Demographic data, patient-reported outcomes, comorbidities, pharmacologic treatment and details regarding disease flares were extracted from the COVAD database. Factors associated with disease flare-ups were determined by multivariate logistic regression analysis. The analysis comprised 1928 patients with RA who participated in the COVAD study. Younger age, Caucasian ethnicity, comorbidities with obstructive chronic pulmonary disease and asthma were associated with COVID-19 breakthrough infection. Moreover, younger age (odds ratio (OR): 0.98, 95% CI 0.96-0.99, p < 0.001), ethnicity other than Asian, past history of tuberculosis (OR: 3.80, 95% CI 1.12-12.94, p = 0.033), treatment with methotrexate (OR: 2.55, 95% CI: 1.56-4.17, p < 0.001), poor global physical health (OR: 1.07, 95% CI 1.00-1.15, p = 0.044) and mental health (OR: 0.91, 95% CI 0.87-0.95, p < 0.001) were independent factors associated disease flares in patients with RA. Our study highlights the impact of socio-demographic factors, clinical characteristics and mental health on disease flares in patients with RA. These insights may help determine relevant strategies to proactively manage RA patients at risk of flares.
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Affiliation(s)
| | - Jun-Peng Chen
- Department of Medical Research, Taichung Veterans General Hospital, Taichung City, Taiwan
| | - Elena Nikiphorou
- Centre for Rheumatic Diseases, King's College London, London, UK
- Rheumatology Department, King's College Hospital, London, UK
| | - Chi-Wei Tseng
- Division of Allergy, Immunology and Rheumatology, Department of Medical Research, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung City, Taiwan
| | - Carlos Enrique Toro Gutiérrez
- Reference Center for Osteoporosis, Rheumatology and Dermatology, Pontifica Universidad Javeriana Cali, Cali, Colombia
| | - Ai Lyn Tan
- NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals Trust, Leeds, UK
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK
| | - Arvind Nune
- Southport and Ormskirk Hospital NHS Trust, Southport, PR8 6PN, UK
| | - Esha Kadam
- Seth Gordhandhas Sunderdas Medical College and King Edwards Memorial Hospital, Mumbai, Maharashtra, India
| | - Masataka Kuwana
- Department of Allergy and Rheumatology, Nippon Medical School Graduate School of Medicine, 1-1-5 Sendagi, Bunkyo-ku, Tokyo, 113-8602, Japan
| | - Jessica Day
- Department of Rheumatology, Royal Melbourne Hospital, Parkville, VIC, 3050, Australia
- Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia
- Department of Medical Biology, University of Melbourne, Parkville, VIC, 3052, Australia
| | - Sreoshy Saha
- Mymensingh Medical College, Mymensingh, Bangladesh
| | - Tsvetelina Velikova
- Medical Faculty, Sofia University St. Kliment Ohridski, 1 Kozyak Str., 1407, Sofia, Bulgaria
| | - James B Lilleker
- Division of Musculoskeletal and Dermatological Sciences, Centre for Musculoskeletal Research, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre The University of Manchester, Manchester, UK
- Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Salford, UK
| | | | - Parikshit Sen
- Maulana Azad Medical College, 2-Bahadurshah Zafar Marg, New Delhi, Delhi, 110002, India
| | - Hector Chinoy
- Division of Musculoskeletal and Dermatological Sciences, Centre for Musculoskeletal Research, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre The University of Manchester, Manchester, UK
- National Institute for Health Research Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, The University of Manchester, Manchester, UK
- Department of Rheumatology, Salford Royal Hospital, Northern Care Alliance NHS Foundation Trust, Salford, UK
| | - Rohit Aggarwal
- Division of Rheumatology and Clinical Immunology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Vikas Agarwal
- Department of Clinical Immunology and Rheumatology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India
| | - Latika Gupta
- Division of Musculoskeletal and Dermatological Sciences, Centre for Musculoskeletal Research, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre The University of Manchester, Manchester, UK
- Department of Rheumatology, Royal Wolverhampton Hospitals NHS Trust, Wolverhampton, UK
- Department of Rheumatology, City Hospital, Sandwell and West Birmingham Hospitals NHS Trust, Birmingham, UK
| | - Yi-Ming Chen
- Department of Medical Research, Taichung Veterans General Hospital, Taichung City, Taiwan.
- Division of Allergy, Immunology and Rheumatology, Department of Medical Research, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung City, Taiwan.
- Division of Allergy, Immunology and Rheumatology, Department of Medical Research, Taichung Veterans General Hospital, Taichung City, Taiwan.
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung-Hsing University, Taichung City, Taiwan.
- Precision Medicine Research Center, College of Medicine, National Chung Hsing University, Taichung City, Taiwan.
- School of Medicine, National Yang-Ming Chiao Tung University, Taipei, Taiwan.
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7
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Jing X, Han M, Wang X, Zhou L. SARS-CoV-2 vaccine breakthrough infection in the older adults: a meta-analysis and systematic review. BMC Infect Dis 2023; 23:577. [PMID: 37667195 PMCID: PMC10478381 DOI: 10.1186/s12879-023-08553-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 08/21/2023] [Indexed: 09/06/2023] Open
Abstract
BACKGROUND Corona Virus Disease 2019 (COVID-19) mRNA vaccine effectiveness (VE) has recently declined, and reports about COVID-19 breakthrough infection have increased. We aimed to conduct a meta-analysis on population-based studies of the prevalence and incidence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) breakthrough infection amongst older adults worldwide. METHODS Studies from PubMed, Embase, Cochrane Library, and Web of Science were systematically screened to determine the prevalence and incidence of SARS-CoV-2 breakthrough infection in older adults from inception to November 2, 2022. Our meta-analysis included 30 studies, all published in English. Pooled estimates were calculated using a random-effect model through the inverse variance method. Publication bias was tested through funnel plots and Egger's regression test, and sensitivity analyses were performed to confirm the robustness of the results. This research was performed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. RESULTS Thirty publications were included in this meta-analysis (17 on prevalence, 17 on incidence, and 4 on both). The pooled prevalence of COVID-19 breakthrough infection among older adults was 7.7 per 1,000 persons (95% confidence interval [95%CI] 4.0-15.0). At the same time, the pooled incidence was 29.1 per 1000 person-years (95%CI 15.2-55.7). CONCLUSIONS This meta-analysis provides estimates of prevalence and incidence in older adults. We concluded that the prevalence and incidence of SARS-CoV-19 breakthrough infection in older people was low. The prevalence and incidence of breakthrough infection admitted to hospital, severe-critical, and deathly was significantly lower. Otherwise, there was considerable heterogeneity among estimates in this study, which should be considered when interpreting the results.
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Affiliation(s)
- Xiaohui Jing
- School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, 10 Poyang Lake Road, Tianjin, 301617, P.R. China.
| | - Menglin Han
- School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, 10 Poyang Lake Road, Tianjin, 301617, P.R. China
| | - Xiaoxuan Wang
- School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, 10 Poyang Lake Road, Tianjin, 301617, P.R. China
| | - Li Zhou
- College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, 10 Poyang Lake Road, Tianjin, 301617, P.R. China
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Humoral and cellular immune correlates of protection against COVID-19 in kidney transplant recipients. Am J Transplant 2023; 23:649-658. [PMID: 36773936 PMCID: PMC9911984 DOI: 10.1016/j.ajt.2023.02.015] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 02/06/2023] [Accepted: 02/06/2023] [Indexed: 02/12/2023]
Abstract
As solid organ transplant recipients are at high risk of severe COVID-19 and respond poorly to primary SARS-CoV-2 mRNA vaccination, they have been prioritized for booster vaccination. However, an immunological correlate of protection has not been identified in this vulnerable population. We conducted a prospective monocentric cohort study of 65 kidney transplant recipients who received 3 doses of BNT162b2 mRNA vaccine. Associations among breakthrough infection (BTI), vaccine responses, and patient characteristics were explored in 54 patients. Symptomatic COVID-19 was diagnosed in 32% of kidney transplant recipients during a period of 6 months after booster vaccination. During this period, SARS-CoV-2 delta and omicron were the dominant variants in the general population. Univariate Analyses identified the avidity of SARS-CoV-2 receptor binding domain binding IgG, neutralizing antibodies, and SARS-CoV-2 S2-specific interferon gamma responses as correlates of protection against BTI. No demographic or clinical parameter correlated with the risk of BTI. In multivariate analysis, the risk of BTI was best predicted by neutralizing antibody and S2-specific interferon gamma responses. In conclusion, T cell responses may help compensate for the suboptimal antibody response to booster vaccination in kidney transplant recipients. Further studies are needed to confirm these findings.
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