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Ahmed MN, Abu Habib US, Abdallah AM, Emara MM, Pain A, Althani AA, Nasrallah GK, Yassine HM, Al-Khatib HA. The impact of pre-existing immunity on the emergence of within-host immune-escape mutations in Omicron lineages. J Gen Virol 2025; 106:002108. [PMID: 40358996 PMCID: PMC12075854 DOI: 10.1099/jgv.0.002108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2024] [Accepted: 04/25/2025] [Indexed: 05/15/2025] Open
Abstract
The Omicron variant of SARS-CoV-2 circulating amongst highly immunized populations is anticipated to induce immunological pressures, potentially compromising existing immunity. This study investigates vaccine-induced immunity's impact on within-host diversity of Omicron variants and evaluates sub-consensus mutations at spike protein antigenic sites. Next-generation sequencing assessed the within-host diversity of 728 Omicron-positive samples (421 vaccinated; 307 unvaccinated). Quantitative analysis revealed limited vaccine impact, regardless of lineage, vaccine type or doses. Non-lineage mutations (39, 33 and 25 in BA.2*, BA.4* and BA.5* lineages, respectively) were detected, some showing higher incidence in vaccinated individuals. Six mutations detected at sub-consensus levels at antigenic sites suggest increased immune pressure on the spike protein in vaccinated individuals. Four high-prevalence antigenic mutations, absent from global GISAID sequences, were identified. Although within-host diversity did not significantly differ between vaccination statuses, detected mutations suggest that vaccine-induced immunity may influence within-host mutation patterns.
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Affiliation(s)
- Muna N. Ahmed
- Biomedical Research Center, QU Health, Qatar University, Doha, P.O. 2713, Qatar
| | | | | | - Mohamed M. Emara
- College of Medicine, QU Health, Qatar University, Doha, P.O. 2713, Qatar
| | - Arnab Pain
- Pathogen Genomics Laboratory, Bioscience Program, Biological and Environmental Science and Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
| | - Asmaa A. Althani
- Biomedical Research Center, QU Health, Qatar University, Doha, P.O. 2713, Qatar
- College of Health Sciences, QU Health, Qatar University, Doha, P.O. 2713, Qatar
| | | | - Hadi M. Yassine
- Biomedical Research Center, QU Health, Qatar University, Doha, P.O. 2713, Qatar
- College of Health Sciences, QU Health, Qatar University, Doha, P.O. 2713, Qatar
| | - Hebah A. Al-Khatib
- Biomedical Research Center, QU Health, Qatar University, Doha, P.O. 2713, Qatar
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Angius F, Puxeddu S, Zaimi S, Canton S, Nematollahzadeh S, Pibiri A, Delogu I, Alvisi G, Moi ML, Manzin A. SARS-CoV-2 Evolution: Implications for Diagnosis, Treatment, Vaccine Effectiveness and Development. Vaccines (Basel) 2024; 13:17. [PMID: 39852796 PMCID: PMC11769326 DOI: 10.3390/vaccines13010017] [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: 11/13/2024] [Revised: 12/13/2024] [Accepted: 12/23/2024] [Indexed: 01/26/2025] Open
Abstract
The COVID-19 pandemic, driven by the rapid evolution of the SARS-CoV-2 virus, presents ongoing challenges to global public health. SARS-CoV-2 is characterized by rapidly evolving mutations, especially in (but not limited to) the spike protein, complicating predictions about its evolutionary trajectory. These mutations have significantly affected transmissibility, immune evasion, and vaccine efficacy, leading to multiple pandemic waves with over half a billion cases and seven million deaths globally. Despite several strategies, from rapid vaccine development and administration to the design and availability of antivirals, including monoclonal antibodies, already having been employed, the persistent circulation of the virus and the emergence of new variants continue to result in high case numbers and fatalities. In the past four years, immense research efforts have contributed much to our understanding of the viral pathogenesis mechanism, the COVID-19 syndrome, and the host-microbe interactions, leading to the development of effective vaccines, diagnostic tools, and treatments. The focus of this review is to provide a comprehensive analysis of the functional impact of mutations on diagnosis, treatments, and vaccine effectiveness. We further discuss vaccine safety in pregnancy and the implications of hybrid immunity on long-term protection against infection, as well as the latest developments on a pan-coronavirus vaccine and nasal formulations, emphasizing the need for continued surveillance, research, and adaptive public health strategies in response to the ongoing SARS-CoV-2 evolution race.
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Affiliation(s)
- Fabrizio Angius
- Microbiology and Virology Unit, Department of Biomedical Sciences, University of Cagliari, University Campus, 09042 Monserrato, Italy (A.P.); (I.D.); (A.M.)
| | - Silvia Puxeddu
- Microbiology and Virology Unit, Department of Biomedical Sciences, University of Cagliari, University Campus, 09042 Monserrato, Italy (A.P.); (I.D.); (A.M.)
| | - Silvio Zaimi
- Microbiology and Virology Unit, Department of Biomedical Sciences, University of Cagliari, University Campus, 09042 Monserrato, Italy (A.P.); (I.D.); (A.M.)
| | - Serena Canton
- Microbiology and Virology Unit, Department of Biomedical Sciences, University of Cagliari, University Campus, 09042 Monserrato, Italy (A.P.); (I.D.); (A.M.)
| | - Sepehr Nematollahzadeh
- Department of Molecular Medicine, University of Padova, 35121 Padova, Italy; (S.N.); (G.A.)
| | - Andrea Pibiri
- Microbiology and Virology Unit, Department of Biomedical Sciences, University of Cagliari, University Campus, 09042 Monserrato, Italy (A.P.); (I.D.); (A.M.)
| | - Ilenia Delogu
- Microbiology and Virology Unit, Department of Biomedical Sciences, University of Cagliari, University Campus, 09042 Monserrato, Italy (A.P.); (I.D.); (A.M.)
| | - Gualtiero Alvisi
- Department of Molecular Medicine, University of Padova, 35121 Padova, Italy; (S.N.); (G.A.)
| | - Meng Ling Moi
- School of International Health, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan
| | - Aldo Manzin
- Microbiology and Virology Unit, Department of Biomedical Sciences, University of Cagliari, University Campus, 09042 Monserrato, Italy (A.P.); (I.D.); (A.M.)
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Paramithiotis E, Varaklis C, Pillet S, Shafiani S, Lancelotta MP, Steinhubl S, Sugden S, Clutter M, Montamat-Sicotte D, Chermak T, Crawford SY, Lambert BL, Mattison J, Murphy RL. Integrated antibody and cellular immunity monitoring are required for assessment of the long term protection that will be essential for effective next generation vaccine development. Front Immunol 2023; 14:1166059. [PMID: 38077383 PMCID: PMC10701527 DOI: 10.3389/fimmu.2023.1166059] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 11/06/2023] [Indexed: 12/18/2023] Open
Abstract
The COVID pandemic exposed the critical role T cells play in initial immunity, the establishment and maintenance of long term protection, and of durable responsiveness against novel viral variants. A growing body of evidence indicates that adding measures of cellular immunity will fill an important knowledge gap in vaccine clinical trials, likely leading to improvements in the effectiveness of the next generation vaccines against current and emerging variants. In depth cellular immune monitoring in Phase II trials, particularly for high risk populations such as the elderly or immune compromised, should result in better understanding of the dynamics and requirements for establishing effective long term protection. Such analyses can result in cellular immunity correlates that can then be deployed in Phase III studies using appropriate, scalable technologies. Measures of cellular immunity are less established than antibodies as correlates of clinical immunity, and some misconceptions persist about cellular immune monitoring usefulness, cost, complexity, feasibility, and scalability. We outline the currently available cellular immunity assays, review their readiness for use in clinical trials, their logistical requirements, and the type of information each assay generates. The objective is to provide a reliable source of information that could be leveraged to develop a rational approach for comprehensive immune monitoring during vaccine development.
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Affiliation(s)
| | | | | | | | | | - Steve Steinhubl
- Purdue University, West Lafayette, IN, United States
- PhysIQ, Chicago, IL, United States
| | - Scott Sugden
- Medical and Scientific Affairs, Infectious Diseases, Cepheid, Sunnyvale, CA, United States
| | - Matt Clutter
- Research and Development, CellCarta, Montreal, QC, Canada
| | | | - Todd Chermak
- Regulatory and Government Affairs, CellCarta, Montreal, QC, Canada
| | - Stephanie Y. Crawford
- Department of Pharmacy Systems, Outcomes and Policy, University of Illinois Chicago, Chicago, IL, United States
| | - Bruce L. Lambert
- Department of Communication Studies, Institute for Global Health, Northwestern University, Evanston, IL, United States
| | - John Mattison
- Health Technology Advisory Board, Arsenal Capital, New York, NY, United States
| | - Robert L. Murphy
- Robert J. Havey, MD Institute for Global Health, Northwestern University, Chicago, IL, United States
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4
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de Araújo Rolo C, Machado BAS, Dos Santos MC, Dos Santos RF, Fonseca MS, Hodel KVS, Silva JR, Nunes DDG, Dos Santos Almeida E, de Andrade JB. Long-term monitoring of COVID-19 prevalence in raw and treated wastewater in Salvador, the largest capital of the Brazilian Northeast. Sci Rep 2023; 13:15238. [PMID: 37709804 PMCID: PMC10502096 DOI: 10.1038/s41598-023-41060-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 08/21/2023] [Indexed: 09/16/2023] Open
Abstract
Wastewater-based epidemiology (WBE) becomes an interesting epidemiological approach to monitoring the prevalence of SARS-CoV-2 broadly and non-invasively. Herein, we employ for the first time WBE, associated or not with the PEG 8000 precipitation method, for the detection of SARS-CoV-2 in samples of raw or treated wastewater from 22 municipal wastewater treatment stations (WWTPs) located in Salvador, the fourth most populous city in Brazil. Our results demonstrate the success of the application of WBE for detecting SARS-CoV-2 in both types of evaluated samples, regardless of the usage of PEG 8000 concentration procedure. Further, an increase in SARS-CoV-2 positivity rate was observed in samples collected in months that presented the highest number of confirmed COVID-19 cases (May/2021, June/2021 and January/2022). While PEG 8000 concentration step was found to significantly increase the positivity rate in treated wastewater samples (p < 0.005), a strong positive correlation (r: 0.84; p < 0.002) between non-concentrated raw wastewater samples with the number of new cases of COVID-19 (April/2021-February/2022) was observed. In general, the present results reinforce the efficiency of WBE approach to monitoring the presence of SARS-CoV-2 in either low- or high-capacity WWTPs. The successful usage of WBE even in raw wastewater samples makes it an interesting low-cost tool for epidemiological surveillance.
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Affiliation(s)
- Carolina de Araújo Rolo
- SENAI CIMATEC, SENAI Institute of Innovation (ISI) in Health Advanced Systems (CIMATEC ISI SAS), University Center SENAI/CIMATEC, Salvador, 41650-010, Brazil
| | - Bruna Aparecida Souza Machado
- SENAI CIMATEC, SENAI Institute of Innovation (ISI) in Health Advanced Systems (CIMATEC ISI SAS), University Center SENAI/CIMATEC, Salvador, 41650-010, Brazil
- SENAI CIMATEC, Manufacturing and Technology Integrated Campus, University Center SENAI CIMATEC, Salvador, 41650-010, Brazil
| | - Matheus Carmo Dos Santos
- SENAI CIMATEC, SENAI Institute of Innovation (ISI) in Health Advanced Systems (CIMATEC ISI SAS), University Center SENAI/CIMATEC, Salvador, 41650-010, Brazil
| | - Rosângela Fernandes Dos Santos
- SENAI CIMATEC, SENAI Institute of Innovation (ISI) in Health Advanced Systems (CIMATEC ISI SAS), University Center SENAI/CIMATEC, Salvador, 41650-010, Brazil
| | - Maísa Santos Fonseca
- SENAI CIMATEC, SENAI Institute of Innovation (ISI) in Health Advanced Systems (CIMATEC ISI SAS), University Center SENAI/CIMATEC, Salvador, 41650-010, Brazil
| | - Katharine Valéria Saraiva Hodel
- SENAI CIMATEC, SENAI Institute of Innovation (ISI) in Health Advanced Systems (CIMATEC ISI SAS), University Center SENAI/CIMATEC, Salvador, 41650-010, Brazil
| | - Jéssica Rebouças Silva
- SENAI CIMATEC, SENAI Institute of Innovation (ISI) in Health Advanced Systems (CIMATEC ISI SAS), University Center SENAI/CIMATEC, Salvador, 41650-010, Brazil
| | - Danielle Devequi Gomes Nunes
- SENAI CIMATEC, SENAI Institute of Innovation (ISI) in Health Advanced Systems (CIMATEC ISI SAS), University Center SENAI/CIMATEC, Salvador, 41650-010, Brazil
| | - Edna Dos Santos Almeida
- SENAI CIMATEC, Manufacturing and Technology Integrated Campus, University Center SENAI CIMATEC, Salvador, 41650-010, Brazil
| | - Jailson Bittencourt de Andrade
- SENAI CIMATEC, SENAI Institute of Innovation (ISI) in Health Advanced Systems (CIMATEC ISI SAS), University Center SENAI/CIMATEC, Salvador, 41650-010, Brazil.
- SENAI CIMATEC, Manufacturing and Technology Integrated Campus, University Center SENAI CIMATEC, Salvador, 41650-010, Brazil.
- Centro Interdisciplinar de Energia e Ambiente - CIEnAm, Federal University of Bahia, Salvador, 40170-115, Brazil.
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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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6
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Chellapandian H, Jeyachandran S. Efficacy of Omicron variant as a natural vaccine for COVID19 & probabilities to produce synthetic vaccines. J Infect Public Health 2023; 16:1460-1461. [PMID: 37531705 DOI: 10.1016/j.jiph.2023.07.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 05/30/2023] [Accepted: 07/24/2023] [Indexed: 08/04/2023] Open
Affiliation(s)
- Hethesh Chellapandian
- Lab in Biotechnology & Biosignal transduction, Department of Orthodontics, Saveetha Dental College and Hospitals, Chennai, Tamil Nadu, India
| | - Sivakamavalli Jeyachandran
- Lab in Biotechnology & Biosignal transduction, Department of Orthodontics, Saveetha Dental College and Hospitals, Chennai, Tamil Nadu, India.
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7
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Stroo J, Lepolder M, Murk JL, Rijkers GT. The Impact of SARS-CoV-2 Immune Status and Societal Restrictions in Controlling COVID-19 across the World. Vaccines (Basel) 2023; 11:1407. [PMID: 37766084 PMCID: PMC10535952 DOI: 10.3390/vaccines11091407] [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: 07/01/2023] [Revised: 08/04/2023] [Accepted: 08/16/2023] [Indexed: 09/29/2023] Open
Abstract
To control the COVID-19 pandemic, many countries implemented vaccination and imposed societal restrictions both at the national level and for international travel. As a check of corona status, COVID passes have been issued. A COVID pass could be obtained when either fully vaccinated against COVID-19, or after recovering from a documented COVID-19 episode, or after a recent (24-48 h) negative SARS-CoV-2 antigen test. A global analysis of SARS-CoV-2 immune status determined by past infection and/or vaccination, vaccination rates, as well as societal restrictions in controlling the COVID-19 pandemic is presented. The data show that across the world, vaccination was more effective in reducing SARS-CoV-2 infections with the delta variant than the omicron variant. Strict societal restrictions could control spread of the virus, but relief of the restrictions was associated with an increase in omicron infections. No significant difference in SARS-CoV-2 infections were found when comparing countries or territories which did or did not implement a COVID pass.
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Affiliation(s)
- Jasmijn Stroo
- Science Department, University College Roosevelt, 4331 CB Middelburg, The Netherlands
| | - Michaëla Lepolder
- Science Department, University College Roosevelt, 4331 CB Middelburg, The Netherlands
| | - Jean-Luc Murk
- Microvida Laboratory for Medical Microbiology and Immunology, St. Elisabeth Hospital, 5022 GC Tilburg, The Netherlands
| | - Ger T Rijkers
- Science Department, University College Roosevelt, 4331 CB Middelburg, The Netherlands
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Kojima N, Adams K, Self WH, Gaglani M, McNeal T, Ghamande S, Steingrub JS, Shapiro NI, Duggal A, Busse LW, Prekker ME, Peltan ID, Brown SM, Hager DN, Ali H, Gong MN, Mohamed A, Exline MC, Khan A, Wilson JG, Qadir N, Chang SY, Ginde AA, Withers CA, Mohr NM, Mallow C, Martin ET, Lauring AS, Johnson NJ, Casey JD, Stubblefield WB, Gibbs KW, Kwon JH, Baughman A, Chappell JD, Hart KW, Jones ID, Rhoads JP, Swan SA, Womack KN, Zhu Y, Surie D, McMorrow ML, Patel MM, Tenforde MW. Changing Severity and Epidemiology of Adults Hospitalized With Coronavirus Disease 2019 (COVID-19) in the United States After Introduction of COVID-19 Vaccines, March 2021-August 2022. Clin Infect Dis 2023; 77:547-557. [PMID: 37255285 PMCID: PMC10526883 DOI: 10.1093/cid/ciad276] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Indexed: 06/01/2023] Open
Abstract
INTRODUCTION Understanding the changing epidemiology of adults hospitalized with coronavirus disease 2019 (COVID-19) informs research priorities and public health policies. METHODS Among adults (≥18 years) hospitalized with laboratory-confirmed, acute COVID-19 between 11 March 2021, and 31 August 2022 at 21 hospitals in 18 states, those hospitalized during the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron-predominant period (BA.1, BA.2, BA.4/BA.5) were compared to those from earlier Alpha- and Delta-predominant periods. Demographic characteristics, biomarkers within 24 hours of admission, and outcomes, including oxygen support and death, were assessed. RESULTS Among 9825 patients, median (interquartile range [IQR]) age was 60 years (47-72), 47% were women, and 21% non-Hispanic Black. From the Alpha-predominant period (Mar-Jul 2021; N = 1312) to the Omicron BA.4/BA.5 sublineage-predominant period (Jun-Aug 2022; N = 1307): the percentage of patients who had ≥4 categories of underlying medical conditions increased from 11% to 21%; those vaccinated with at least a primary COVID-19 vaccine series increased from 7% to 67%; those ≥75 years old increased from 11% to 33%; those who did not receive any supplemental oxygen increased from 18% to 42%. Median (IQR) highest C-reactive protein and D-dimer concentration decreased from 42.0 mg/L (9.9-122.0) to 11.5 mg/L (2.7-42.8) and 3.1 mcg/mL (0.8-640.0) to 1.0 mcg/mL (0.5-2.2), respectively. In-hospital death peaked at 12% in the Delta-predominant period and declined to 4% during the BA.4/BA.5-predominant period. CONCLUSIONS Compared to adults hospitalized during early COVID-19 variant periods, those hospitalized during Omicron-variant COVID-19 were older, had multiple co-morbidities, were more likely to be vaccinated, and less likely to experience severe respiratory disease, systemic inflammation, coagulopathy, and death.
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Affiliation(s)
- Noah Kojima
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Katherine Adams
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Wesley H Self
- Department of Emergency Medicine and Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Manjusha Gaglani
- Department of Pediatrics, Baylor Scott & White Health and Texas A&M University College of Medicine, Temple and Dallas, Texas, USA
| | - Tresa McNeal
- Department of Medical Education, Baylor Scott & White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Shekhar Ghamande
- Department of Medical Education, Baylor Scott & White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Jay S Steingrub
- Department of Medicine, Baystate Medical Center, Springfield, Massachusetts, USA
| | - Nathan I Shapiro
- Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Abhijit Duggal
- Department of Medicine, Cleveland Clinic, Cleveland, Ohio, USA
| | | | - Matthew E Prekker
- Department of Emergency Medicine and Medicine, Hennepin County Medical Center, Minneapolis, Minnesota, USA
| | - Ithan D Peltan
- Department of Medicine, Intermountain Medical Center, Murray, Utah and University of Utah, Salt Lake City, Utah, USA
| | - Samuel M Brown
- Department of Medicine, Intermountain Medical Center, Murray, Utah and University of Utah, Salt Lake City, Utah, USA
| | - David N Hager
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Harith Ali
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Michelle N Gong
- Department of Medicine, Montefiore Health System, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Amira Mohamed
- Department of Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Matthew C Exline
- Department of Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Akram Khan
- Department of Medicine, Oregon Health and Sciences University, Portland, Oregon, USA
| | - Jennifer G Wilson
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Nida Qadir
- Department of Medicine, University of California-Los Angeles, Los Angeles, California, USA
| | - Steven Y Chang
- Department of Medicine, University of California-Los Angeles, Los Angeles, California, USA
| | - Adit A Ginde
- Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Cori A Withers
- Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Nicholas M Mohr
- Department of Emergency Medicine, University of Iowa, Iowa City, Iowa, USA
| | | | - Emily T Martin
- School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Adam S Lauring
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, USA
| | - Nicholas J Johnson
- Department of Emergency Medicine and Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, Washington, USA
| | - Jonathan D Casey
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - William B Stubblefield
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kevin W Gibbs
- Department of Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Jennie H Kwon
- Department of Medicine, Washington University, St. Louis, Missouri, USA
| | - Adrienne Baughman
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - James D Chappell
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kimberly W Hart
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Ian D Jones
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Jillian P Rhoads
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Sydney A Swan
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kelsey N Womack
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Yuwei Zhu
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Diya Surie
- Coronavirus and Other Respiratory Viruses Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Meredith L McMorrow
- Coronavirus and Other Respiratory Viruses Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Manish M Patel
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Mark W Tenforde
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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9
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He P, Xia K, Song Y, Tandon R, Channappanavar R, Zhang F, Linhardt RJ. Synthesis of multivalent sialyllactose-conjugated PAMAM dendrimers: Binding to SARS-CoV-2 spike protein and influenza hemagglutinin. Int J Biol Macromol 2023; 246:125714. [PMID: 37423440 PMCID: PMC10528195 DOI: 10.1016/j.ijbiomac.2023.125714] [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: 03/06/2023] [Revised: 06/05/2023] [Accepted: 07/04/2023] [Indexed: 07/11/2023]
Abstract
Severe acute respiratory syndrome-related coronavirus-2 (SARS-CoV-2) and influenza viruses have spread around the world at an unprecedented rate. Despite multiple vaccines, new variants of SARS-CoV-2 and influenza have caused a remarkable level of pathogenesis. The development of effective antiviral drugs to treat SARS-CoV-2 and influenza remains a high priority. Inhibiting viral cell surface attachment represents an early and efficient means to block virus infection. Sialyl glycoconjugates, on the surface of human cell membranes, play an important role as host cell receptors for influenza A virus and 9-O-acetyl-sialylated glycoconjugates are receptors for MERS, HKU1 and bovine coronaviruses. We designed and synthesized multivalent 6'-sialyllactose-counjugated polyamidoamine dendrimers through click chemistry at room temperature concisely. These dendrimer derivatives have good solubility and stability in aqueous solutions. SPR, a real-time analysis quantitative method for of biomolecular interactions, was used to study the binding affinities of our dendrimer derivatives by utilizing only 200 micrograms of each dendrimer. Three SARS-CoV-2 S-protein receptor binding domain (wild type and two Omicron mutants) bound to multivalent 9-O-acetyl-6'-sialyllactose-counjugated and 6'-sialyllactose-counjugated dendrimers bound to a single H3N2 influenza A virus's HA protein (A/Hong Kong/1/1968), the SPR study results suggest their potential anti-viral activities.
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Affiliation(s)
- Peng He
- Department of Chemistry and Chemical Biology, Rensselaer Polytechnic Institute, Troy, NY 12180, USA; Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY 12180, USA
| | - Ke Xia
- Department of Chemistry and Chemical Biology, Rensselaer Polytechnic Institute, Troy, NY 12180, USA; Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY 12180, USA
| | - Yuefan Song
- Department of Chemistry and Chemical Biology, Rensselaer Polytechnic Institute, Troy, NY 12180, USA; Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY 12180, USA
| | - Ritesh Tandon
- Center for Immunology and Microbial Research, Department of Cell Biology, Medicine and BioMolecular Sciences, University of Mississippi Medical Center, Jackson, MS, USA
| | - Rudra Channappanavar
- Department of Veterinary Pathobiology, Oklahoma Center for Respiratory and Infectious Diseases (OCRID), Oklahoma State University, Stillwater, OK, USA
| | - Fuming Zhang
- Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY 12180, USA; Department of Chemical and Biological Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.
| | - Robert J Linhardt
- Department of Chemistry and Chemical Biology, Rensselaer Polytechnic Institute, Troy, NY 12180, USA; Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY 12180, USA; Department of Chemical and Biological Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.
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10
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León UAPD, Pérez AGC, Avila-Vales E. Modeling the SARS-CoV-2 Omicron variant dynamics in the United States with booster dose vaccination and waning immunity. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2023; 20:10909-10953. [PMID: 37322966 DOI: 10.3934/mbe.2023484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
We carried out a theoretical and numerical analysis for an epidemic model to analyze the dynamics of the SARS-CoV-2 Omicron variant and the impact of vaccination campaigns in the United States. The model proposed here includes asymptomatic and hospitalized compartments, vaccination with booster doses, and the waning of natural and vaccine-acquired immunity. We also consider the influence of face mask usage and efficiency. We found that enhancing booster doses and using N95 face masks are associated with a reduction in the number of new infections, hospitalizations and deaths. We highly recommend the use of surgical face masks as well, if usage of N95 is not a possibility due to the price range. Our simulations show that there might be two upcoming Omicron waves (in mid-2022 and late 2022), caused by natural and acquired immunity waning with respect to time. The magnitude of these waves will be 53% and 25% lower than the peak in January 2022, respectively. Hence, we recommend continuing to use face masks to decrease the peak of the upcoming COVID-19 waves.
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Affiliation(s)
- Ugo Avila-Ponce de León
- Programa de Doctorado en Ciencias Biológicas, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Angel G C Pérez
- Facultad de Matemáticas, Universidad Autónoma de Yucatán, Anillo Periférico Norte, Tablaje Catastral 13615, C.P. 97119, Mérida, Yucatán, Mexico
| | - Eric Avila-Vales
- Facultad de Matemáticas, Universidad Autónoma de Yucatán, Anillo Periférico Norte, Tablaje Catastral 13615, C.P. 97119, Mérida, Yucatán, Mexico
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11
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Liu M, Gan H, Liang Z, Liu L, Liu Q, Mai Y, Chen H, Lei B, Yu S, Chen H, Zheng P, Sun B. Review of therapeutic mechanisms and applications based on SARS-CoV-2 neutralizing antibodies. Front Microbiol 2023; 14:1122868. [PMID: 37007494 PMCID: PMC10060843 DOI: 10.3389/fmicb.2023.1122868] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 02/23/2023] [Indexed: 03/18/2023] Open
Abstract
COVID-19 pandemic is a global public health emergency. Despite extensive research, there are still few effective treatment options available today. Neutralizing-antibody-based treatments offer a broad range of applications, including the prevention and treatment of acute infectious diseases. Hundreds of SARS-CoV-2 neutralizing antibody studies are currently underway around the world, with some already in clinical applications. The development of SARS-CoV-2 neutralizing antibody opens up a new therapeutic option for COVID-19. We intend to review our current knowledge about antibodies targeting various regions (i.e., RBD regions, non-RBD regions, host cell targets, and cross-neutralizing antibodies), as well as the current scientific evidence for neutralizing-antibody-based treatments based on convalescent plasma therapy, intravenous immunoglobulin, monoclonal antibodies, and recombinant drugs. The functional evaluation of antibodies (i.e., in vitro or in vivo assays) is also discussed. Finally, some current issues in the field of neutralizing-antibody-based therapies are highlighted.
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Affiliation(s)
- Mingtao Liu
- National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Hui Gan
- National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Zhiman Liang
- National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Li Liu
- Guangzhou Medical University, Guangzhou, China
| | - Qiwen Liu
- Guangzhou Medical University, Guangzhou, China
| | - Yiyin Mai
- Guangzhou Medical University, Guangzhou, China
| | | | - Baoying Lei
- Guangzhou Medical University, Guangzhou, China
| | - Shangwei Yu
- Guangzhou Medical University, Guangzhou, China
| | - Huihui Chen
- Guangzhou Medical University, Guangzhou, China
| | - Peiyan Zheng
- National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Baoqing Sun
- National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
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12
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Associations of HLA Polymorphisms with Anti-SARS-CoV-2 Spike and Neutralizing Antibody Titers in Japanese Rheumatoid Arthritis Patients Vaccinated with BNT162b2. Vaccines (Basel) 2023; 11:vaccines11020404. [PMID: 36851281 PMCID: PMC9965868 DOI: 10.3390/vaccines11020404] [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: 12/27/2022] [Revised: 01/23/2023] [Accepted: 02/08/2023] [Indexed: 02/12/2023] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes Coronavirus Disease 2019. Anti-SARS-CoV-2 spike (S) and neutralizing antibodies (Abs) are measured to evaluate the efficacy of vaccines. Human leukocyte antigen (HLA) may be associated with vaccine efficacy. Here, we investigated the association of HLA polymorphisms with the production of anti-SARS-CoV-2 S or neutralizing Abs in vaccinated rheumatoid arthritis (RA) patients in Japan. Genotyping of DRB1 and DQB1 was conducted in 87 Japanese RA patients vaccinated with BNT162b2. Associations of allele or haplotype carrier frequencies with anti-SARS-CoV-2 S or neutralizing Abs were examined. DRB1*12:01 was significantly positively associated with the production of S Ab (p = 0.0225, odds ratio [OR] 6.08, 95% confidence interval [CI] 1.32-28.03). The DQB1*03:01 allele carrier frequency tended to be higher in high responders of S Ab. Allele carrier frequencies of DRB1*15:01 (p = 0.0102, OR 9.26, 95% CI 1.65-52.01) and DQB1*06:02 (p = 0.0373, OR 7.00, 95% CI 1.18-41.36) were higher in responders of neutralizing Ab. Haplotype and two-locus analyses of DRB1 and DQB1 suggested that DRB1 alleles were the primary drivers of these associations. Logistic regression analysis showed associations of these alleles independent of clinical characteristics. Independent associations were found between HLA alleles and anti-SARS-CoV-2 Ab production by vaccinated RA patients.
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13
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Migueres M, Dimeglio C, Mansuy JM, Abravanel F, Raymond S, Latour J, Jeanne N, Ranger N, Lhomme S, Saune K, Tremeaux P, Izopet J. Influence of Nasopharyngeal Viral Load on the Spread of the Omicron BA.2 Variant. Clin Infect Dis 2023; 76:e514-e517. [PMID: 35796540 DOI: 10.1093/cid/ciac563] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 06/28/2022] [Accepted: 07/01/2022] [Indexed: 11/14/2022] Open
Abstract
We used variant typing polymerase chain reaction to describe the evolution of severe acute respiratory syndrome coronavirus 2 Omicron sublineages between December 2021 and mid-March 2022. The selective advantage of the BA.2 variant over BA.1 is not due to greater nasopharyngeal viral loads.
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Affiliation(s)
- Marion Migueres
- Laboratoire de virologie, Institut fédératif de Biologie, Hôpital Purpan, CHU Toulouse, 31300 Toulouse, France.,Institut Toulousain des Maladies Infectieuses et Inflammatoires (Infinity), INSERM UMR1291-CNRS UMR5051, 31300 Toulouse, France.,Université Toulouse III Paul-Sabatier, 31062 Toulouse, France
| | - Chloé Dimeglio
- Laboratoire de virologie, Institut fédératif de Biologie, Hôpital Purpan, CHU Toulouse, 31300 Toulouse, France.,Institut Toulousain des Maladies Infectieuses et Inflammatoires (Infinity), INSERM UMR1291-CNRS UMR5051, 31300 Toulouse, France.,Université Toulouse III Paul-Sabatier, 31062 Toulouse, France
| | - Jean-Michel Mansuy
- Laboratoire de virologie, Institut fédératif de Biologie, Hôpital Purpan, CHU Toulouse, 31300 Toulouse, France
| | - Florence Abravanel
- Laboratoire de virologie, Institut fédératif de Biologie, Hôpital Purpan, CHU Toulouse, 31300 Toulouse, France.,Institut Toulousain des Maladies Infectieuses et Inflammatoires (Infinity), INSERM UMR1291-CNRS UMR5051, 31300 Toulouse, France.,Université Toulouse III Paul-Sabatier, 31062 Toulouse, France
| | - Stéphanie Raymond
- Laboratoire de virologie, Institut fédératif de Biologie, Hôpital Purpan, CHU Toulouse, 31300 Toulouse, France.,Institut Toulousain des Maladies Infectieuses et Inflammatoires (Infinity), INSERM UMR1291-CNRS UMR5051, 31300 Toulouse, France.,Université Toulouse III Paul-Sabatier, 31062 Toulouse, France
| | - Justine Latour
- Laboratoire de virologie, Institut fédératif de Biologie, Hôpital Purpan, CHU Toulouse, 31300 Toulouse, France
| | - Nicolas Jeanne
- Laboratoire de virologie, Institut fédératif de Biologie, Hôpital Purpan, CHU Toulouse, 31300 Toulouse, France
| | - Noémie Ranger
- Laboratoire de virologie, Institut fédératif de Biologie, Hôpital Purpan, CHU Toulouse, 31300 Toulouse, France
| | - Sébastien Lhomme
- Laboratoire de virologie, Institut fédératif de Biologie, Hôpital Purpan, CHU Toulouse, 31300 Toulouse, France.,Institut Toulousain des Maladies Infectieuses et Inflammatoires (Infinity), INSERM UMR1291-CNRS UMR5051, 31300 Toulouse, France.,Université Toulouse III Paul-Sabatier, 31062 Toulouse, France
| | - Karine Saune
- Laboratoire de virologie, Institut fédératif de Biologie, Hôpital Purpan, CHU Toulouse, 31300 Toulouse, France.,Institut Toulousain des Maladies Infectieuses et Inflammatoires (Infinity), INSERM UMR1291-CNRS UMR5051, 31300 Toulouse, France.,Université Toulouse III Paul-Sabatier, 31062 Toulouse, France
| | - Pauline Tremeaux
- Laboratoire de virologie, Institut fédératif de Biologie, Hôpital Purpan, CHU Toulouse, 31300 Toulouse, France
| | - Jacques Izopet
- Laboratoire de virologie, Institut fédératif de Biologie, Hôpital Purpan, CHU Toulouse, 31300 Toulouse, France.,Institut Toulousain des Maladies Infectieuses et Inflammatoires (Infinity), INSERM UMR1291-CNRS UMR5051, 31300 Toulouse, France.,Université Toulouse III Paul-Sabatier, 31062 Toulouse, France
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14
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Ngonghala CN, Taboe HB, Safdar S, Gumel AB. Unraveling the dynamics of the Omicron and Delta variants of the 2019 coronavirus in the presence of vaccination, mask usage, and antiviral treatment. APPLIED MATHEMATICAL MODELLING 2023; 114:447-465. [PMID: 36281307 PMCID: PMC9581714 DOI: 10.1016/j.apm.2022.09.017] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Revised: 08/31/2022] [Accepted: 09/12/2022] [Indexed: 06/13/2023]
Abstract
The effectiveness of control interventions against COVID-19 is threatened by the emergence of SARS-CoV-2 variants of concern. We present a mathematical model for studying the transmission dynamics of two of these variants (Delta and Omicron) in the United States, in the presence of vaccination, treatment of individuals with clinical symptoms of the disease and the use of face masks. The model is parameterized and cross-validated using observed daily case data for COVID-19 in the United States for the period from November 2021 (when Omicron first emerged) to March 2022. Rigorous qualitative analysis of the model shows that the disease-free equilibrium of the model is locally-asymptotically stable when the control reproduction number of the model (denoted by R c ) is less than one. This equilibrium is shown to be globally-asymptotically stable for a special case of the model, where disease-induced mortality is negligible and both vaccine-derived immunity in fully-vaccinated individuals and natural immunity do not wane, when the associated reproduction number is less than one. The epidemiological implication of the latter result is that the combined vaccination-boosting strategy can lead to the elimination of the pandemic if its implementation can bring (and maintain) the associated reproduction number to a value less than one. An analytical expression for the vaccine-derived herd immunity threshold is derived. Using this expression, together with the baseline values of the parameters of the parameterized model, we showed that the vaccine-derived herd immunity can be achieved in the United States (so that the pandemic will be eliminated) if at least 68 % of the population is fully-vaccinated with two of the three vaccines approved for use in the United States (Pfizer or Moderna vaccine). Furthermore, this study showed (as of the time of writing in March 2022) that the control reproduction number of the Omicron variant was approximately 3.5 times that of the Delta variant (the reproduction of the latter is computed to be ≈ 0.2782 ), indicating that Delta had practically died out and that Omicron has competitively-excluded Delta (to become the predominant variant in the United States). Based on our analysis and parameterization at the time of writing of this paper (March 2022), our study suggests that SARS-CoV-2 elimination is feasible by June 2022 if the current baseline level of the coverage of fully-vaccinated individuals is increased by about 20 % . The prospect of pandemic elimination is significantly improved if vaccination is combined with a face mask strategy that prioritizes moderately effective and high-quality masks. Having a high percentage of the populace wearing the moderately-effective surgical mask is more beneficial to the community than having low percentage of the populace wearing the highly-effective N95 masks. We showed that waning natural and vaccine-derived immunity (if considered individually) offer marginal impact on disease burden, except for the case when they wane at a much faster rate (e.g., within three months), in comparison to the baseline (estimated to be within 9 months to a year). Treatment of symptomatic individuals has marginal effect in reducing daily cases of SARS-CoV-2, in comparison to the baseline, but it has significant impact in reducing daily hospitalizations. Furthermore, while treatment significantly reduces daily hospitalizations (and, consequently, deaths), the prospects of COVID-19 elimination in the United States are significantly enhanced if investments in control resources are focused on mask usage and vaccination rather than on treatment.
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Affiliation(s)
- Calistus N Ngonghala
- Department of Mathematics, University of Florida, Gainesville, FL 32611, USA
- Emerging Pathogens Institute, University of Florida, Gainesville, FL 32610, USA
| | - Hemaho B Taboe
- Department of Mathematics, University of Florida, Gainesville, FL 32611, USA
- Laboratoire de Biomathématiques et d'Estimations Forestières, University of Abomey-Calavi, Cotonou, Bénin
| | - Salman Safdar
- School of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ 85287, USA
| | - Abba B Gumel
- Department of Mathematics, University of Maryland, College Park, MD 20742, USA
- Department of Biology & Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742, USA
- Department of Mathematics and Applied Mathematics, University of Pretoria, Pretoria 0002, South Africa
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15
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Malli F, Lampropoulos IC, Perlepe G, Papagiannis D, Gourgoulianis KI. Analysis of SARS-CoV-2 Cases, COVID-19 Outcomes and Vaccinations, during the Different SARS-CoV-2 Variants in Greece. Vaccines (Basel) 2023; 11:126. [PMID: 36679971 PMCID: PMC9865075 DOI: 10.3390/vaccines11010126] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 01/03/2023] [Accepted: 01/03/2023] [Indexed: 01/06/2023] Open
Abstract
Since the emergence of the SARS-CoV-2 Omicron variant, many issues have arisen. We report SARS-CoV-2 vaccinations, SARS-CoV-2 cases and COVID-19 outcomes in Greece during weeks 2-26 of 2021 (Alpha variant period), weeks 27-51 of 2021 (Delta variant period) and week 51 of 2021 to week 27 of 2022 (Omicron variant period). The average weekly cases were higher during the Omicron period vs. the Delta (25,354.17 cases/week) and Alpha periods (11,238.48 cases/week). The average weekly vaccinations were lower in the Omicron period (26,283.69/week) than in the Alpha and Delta period. Joinpoint regression analysis identified that the trend of SARS-CoV-2 cases increased by 88.5% during the rise of the Omicron wave in Greece. The trend of the intensive care unit (ICU) admissions related to COVID-19 decreased by 5.0% immediately after the rise of Omicron while the trend of COVID-19-related deaths decreased by 8.1% from the 5th week of the Omicron wave until the end of the study. For vaccinations, an increasing trend of 8.3% was observed in the first half of 2021 (weeks 18-25/2021), followed by a decreasing trend in weeks 26-43/2021. For the weeks before and during the early rise of Omicron (44/2021-1/2022), we identified an increasing trend of 10.7% and for weeks 2-27/2022 we observed a decreasing trend of 18.1%. Unfortunately, we do not have available data about the vaccination status of the SARS-CoV-2 cases, ICU admissions or deaths. Our findings suggest that the Omicron variant is associated with increased transmissibility and reduced morbidity and mortality despite the previous increase in the trend of SARS-CoV-2 vaccinations.
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Affiliation(s)
- Foteini Malli
- Respiratory Disorders Laboratory, Faculty of Nursing, University of Thessaly, 382 21 Larissa, Greece
- Respiratory Medicine Department, Faculty of Medicine, University of Thessaly, 382 21 Larissa, Greece
| | - Ioannis C. Lampropoulos
- Respiratory Medicine Department, Faculty of Medicine, University of Thessaly, 382 21 Larissa, Greece
| | - Garifallia Perlepe
- Respiratory Medicine Department, Faculty of Medicine, University of Thessaly, 382 21 Larissa, Greece
| | - Dimitrios Papagiannis
- Public Health & Vaccines Laboratory, Faculty of Nursing, School of Health Sciences, University of Thessaly, 382 21 Larissa, Greece
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16
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Djordjevic M, Markovic S, Salom I, Djordjevic M. Understanding risk factors of a new variant outburst through global analysis of Omicron transmissibility. ENVIRONMENTAL RESEARCH 2023; 216:114446. [PMID: 36208783 DOI: 10.1016/j.envres.2022.114446] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 09/11/2022] [Accepted: 09/25/2022] [Indexed: 06/16/2023]
Abstract
The emergence of a new virus variant is generally recognized by its usually sudden and rapid spread (outburst) in a certain world region. Due to the near-exponential rate of initial expansion, the new strain may not be detected at its true geographical origin but in the area with the most favorable conditions leading to the fastest exponential growth. Therefore, it is crucial to understand better the factors that promote such outbursts, which we address in the example of analyzing global Omicron transmissibility during its global emergence/outburst in November 2021-February 2022. As predictors, we assemble a number of potentially relevant factors: vaccinations (both full and boosters), different measures of population mobility (provided by Google), estimated stringency of measures, the prevalence of chronic diseases, population age, the timing of the outburst, and several other socio-demographic variables. As a proxy for natural immunity (prevalence of prior infections in population), we use cumulative numbers of COVID-19 deaths. As a response variable (transmissibility measure), we use the estimated effective reproduction number (Re) averaged in the vicinity of the outburst maxima. To select significant predictors of Re, we use machine learning regressions that employ feature selection, including methods based on ensembles of decision trees (Random Forest and Gradient Boosting). We identify the young population, earlier infection onset, higher mobility, low natural immunity, and low booster prevalence as likely direct risk factors. Interestingly, we find that all these risk factors were significantly higher for Africa, though curiously somewhat lower in Southern African countries (where the outburst emerged) compared to other African countries. Therefore, while the risk factors related to the virus transmissibility clearly promote the outburst of a new virus variant, specific regions/countries where the outburst actually happens may be related to less evident factors, possibly random in nature.
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Affiliation(s)
- Marko Djordjevic
- Quantitative Biology Group, Institute of Physiology and Biochemistry, Faculty of Biology, University of Belgrade, Serbia.
| | - Sofija Markovic
- Quantitative Biology Group, Institute of Physiology and Biochemistry, Faculty of Biology, University of Belgrade, Serbia
| | - Igor Salom
- Institute of Physics Belgrade, National Institute of the Republic of Serbia, University of Belgrade, Serbia
| | - Magdalena Djordjevic
- Institute of Physics Belgrade, National Institute of the Republic of Serbia, University of Belgrade, Serbia
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17
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Adaptive Immunity to Viruses: What Did We Learn from SARS-CoV-2 Infection? Int J Mol Sci 2022; 23:ijms232213951. [PMID: 36430430 PMCID: PMC9694482 DOI: 10.3390/ijms232213951] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 11/09/2022] [Accepted: 11/09/2022] [Indexed: 11/16/2022] Open
Abstract
The SARS-CoV-2 virus causes various conditions, from asymptomatic infection to the fatal coronavirus disease 2019 (COVID-19). An intact immune system can overcome SARS-CoV-2 and other viral infections. Defective natural, mainly interferon I- and III-dependent, responses may lead to the spread of the virus to multiple organs. Adaptive B- and T-cell responses, including memory, highly influence the severity and outcome of COVID-19. With respect to B-cell immunity, germinal centre formation is delayed or even absent in the most severe cases. Extrafollicular low-affinity anti-SARS-CoV-2 antibody production will occur instead of specific, high-affinity antibodies. Helper and CD8+ cytotoxic T-cells become hyperactivated and then exhausted, leading to ineffective viral clearance from the body. The dysregulation of neutrophils and monocytes/macrophages, as well as lymphocyte hyperreactivity, might lead to the robust production of inflammatory mediators, also known as cytokine storm. Eventually, the disruption of this complex network of immune cells and mediators leads to severe, sometimes fatal COVID-19 or another viral disease.
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18
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Flacco ME, Acuti Martellucci C, Baccolini V, De Vito C, Renzi E, Villari P, Manzoli L. Risk of reinfection and disease after SARS-CoV-2 primary infection: Meta-analysis. Eur J Clin Invest 2022; 52:e13845. [PMID: 35904405 PMCID: PMC9353414 DOI: 10.1111/eci.13845] [Citation(s) in RCA: 53] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 07/09/2022] [Accepted: 07/27/2022] [Indexed: 11/29/2022]
Abstract
INTRODUCTION A precise estimate of the frequency and severity of SARS-CoV-2 reinfections would be critical to optimize restriction and vaccination policies for the hundreds of millions previously infected subjects. We performed a meta-analysis to evaluate the risk of reinfection and COVID-19 following primary infection. METHODS We searched MedLine, Scopus and preprint repositories for cohort studies evaluating the onset of new infections among baseline SARS-CoV-2-positive subjects. Random-effect meta-analyses of proportions were stratified by gender, exposure risk, vaccination status, viral strain, time between episodes, and reinfection definition. RESULTS Ninety-one studies, enrolling 15,034,624 subjects, were included. Overall, 158,478 reinfections were recorded, corresponding to a pooled rate of 0.97% (95% CI: 0.71%-1.27%), with no substantial differences by definition criteria, exposure risk or gender. Reinfection rates were still 0.66% after ≥12 months from first infection, and the risk was substantially lower among vaccinated subjects (0.32% vs. 0.74% for unvaccinated individuals). During the first 3 months of Omicron wave, the reinfection rates reached 3.31%. Overall rates of severe/lethal COVID-19 were very low (2-7 per 10,000 subjects according to definition criteria) and were not affected by strain predominance. CONCLUSIONS A strong natural immunity follows the primary infection and may last for more than one year, suggesting that the risk and health care needs of recovered subjects might be limited. Although the reinfection rates considerably increased during the Omicron wave, the risk of a secondary severe or lethal disease remained very low. The risk-benefit profile of multiple vaccine doses for this subset of population needs to be carefully evaluated.
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Affiliation(s)
- Maria Elena Flacco
- Department of Environmental and Preventive Sciences, University of Ferrara, Ferrara, Italy
| | | | - Valentina Baccolini
- Department of Public Health and Infectious Diseases, Sapienza University, Rome, Italy
| | - Corrado De Vito
- Department of Public Health and Infectious Diseases, Sapienza University, Rome, Italy
| | - Erika Renzi
- Department of Public Health and Infectious Diseases, Sapienza University, Rome, Italy
| | - Paolo Villari
- Department of Public Health and Infectious Diseases, Sapienza University, Rome, Italy
| | - Lamberto Manzoli
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
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19
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Murari TB, Fonseca LMDS, Pereira HBDB, Nascimento Filho AS, Saba H, Scorza FA, G. de Almeida AC, Maciel ELN, Mendes JFF, Rocha Filho TM, David JR, Badaró R, Machado BAS, Moret MA. Retrospective Cohort Study of COVID-19 in Patients of the Brazilian Public Health System with SARS-CoV-2 Omicron Variant Infection. Vaccines (Basel) 2022; 10:1504. [PMID: 36146584 PMCID: PMC9500832 DOI: 10.3390/vaccines10091504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 09/03/2022] [Accepted: 09/04/2022] [Indexed: 12/02/2022] Open
Abstract
Several vaccines against COVID-19 are now available, based on different techniques and made by different laboratories spread around the world. With the roll out of the vaccination process in an advanced stage in many countries, the reduced risk of hospitalization due to the Omicron variant relative to the Delta variant infection, despite the higher transmission risk of Omicron, may lead to a misinterpretation of the results, as infection by Omicron is associated with a significant reduction in severe outcomes and shorter hospitalization time than the Delta variant. We compared the in-hospital mortality due to the Omicron (Jan-Mar 2022) with Gamma (Jan 2021) and Delta (Oct-Dec 2021) variants of patients in the Brazilian public health system. This study also discusses the decrease in booster vaccine effectiveness in patients hospitalized due to the Omicron variant compared with the Delta variant. Without a remodeling of vaccines for new variants, booster doses may be necessary with a shorter time interval.
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Affiliation(s)
- Thiago B. Murari
- Modelagem Computacional, University Center SENAI/CIMATEC, Salvador 41650-010, BA, Brazil
| | - Larissa Moraes dos Santos Fonseca
- Modelagem Computacional, University Center SENAI/CIMATEC, Salvador 41650-010, BA, Brazil
- SENAI Institute of Innovation (ISI) in Health Advanced Systems, University Center SENAI/CIMATEC, Salvador 41650-010, BA, Brazil
| | - Hernane B. de B. Pereira
- Modelagem Computacional, University Center SENAI/CIMATEC, Salvador 41650-010, BA, Brazil
- Departamento de Ciências Exatas e da Terra, Universidade do Estado da Bahia, Salvador 41150-000, BA, Brazil
| | | | - Hugo Saba
- Modelagem Computacional, University Center SENAI/CIMATEC, Salvador 41650-010, BA, Brazil
- Departamento de Ciências Exatas e da Terra, Universidade do Estado da Bahia, Salvador 41150-000, BA, Brazil
| | - Fulvio A. Scorza
- Disciplina de Neurociência, Escola Paulista de Medicina, Universidade Federal de São Paulo (EPM/UNIFESP), São Paulo 04021-001, SP, Brazil
| | - Antônio-Carlos G. de Almeida
- Departamento de Engenharia de Biossistemas, Universidade Federal de São João del-Rei (UFSJ), São João del-Rei 36307-352, MG, Brazil
| | - Ethel L. N. Maciel
- Laboratório de Epidemiologia, Universidade Federal do Espírito Santo, Vitória 29075-910, ES, Brazil
| | - José F. F. Mendes
- Departamento de Física and I3N, Universidade de Aveiro, 3880 Aveiro, Portugal
| | - Tarcísio M. Rocha Filho
- International Center for Condensed Matter Physics and Instituto de Física, Universidade de Brasília, Brasília 70910-900, DF, Brazil
| | - John R. David
- Faculty of Public Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Department of Immunology and Infectious Diseases, Harvard Medical School, Boston, MA 02115, USA
| | - Roberto Badaró
- Modelagem Computacional, University Center SENAI/CIMATEC, Salvador 41650-010, BA, Brazil
- SENAI Institute of Innovation (ISI) in Health Advanced Systems, University Center SENAI/CIMATEC, Salvador 41650-010, BA, Brazil
| | - Bruna Aparecida Souza Machado
- Modelagem Computacional, University Center SENAI/CIMATEC, Salvador 41650-010, BA, Brazil
- SENAI Institute of Innovation (ISI) in Health Advanced Systems, University Center SENAI/CIMATEC, Salvador 41650-010, BA, Brazil
| | - Marcelo A. Moret
- Modelagem Computacional, University Center SENAI/CIMATEC, Salvador 41650-010, BA, Brazil
- Departamento de Ciências Exatas e da Terra, Universidade do Estado da Bahia, Salvador 41150-000, BA, Brazil
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20
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A severe presentation of breakthrough infection caused by the Omicron variant with radiological findings of COVID-19 pneumonia in an elderly woman. Radiol Case Rep 2022; 17:3326-3330. [PMID: 35846507 PMCID: PMC9275445 DOI: 10.1016/j.radcr.2022.06.034] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 06/09/2022] [Accepted: 06/11/2022] [Indexed: 12/17/2022] Open
Abstract
Omicron variant of COVID-19 is characterized by exceptional transmissibility and by immune evasion with the ability infect people with naturally acquired or vaccine-induced immunity. However, lung involvement is poorly reported in patients who resulted positive by this new COVID-19 variant. COVID-19 breakthrough infections are defined as COVID-19 infection in fully vaccinated patients. Herein, we present a case of breakthrough infection in an elderly woman who came in emergency with dyspnea and with findings of COVID-19 pneumonia on chest computed tomography. The patient was vaccinated with a booster dose of an mRNA vaccine some months earlier and the Omicron variant was detected on real-time reverse-transcription polymerase chain reaction. However, the patient's condition remained stable. For our knowledge we report the first case with lung involvement due to Omicron variant in an elderly after the booster dose of mRNA vaccine. This case highlights as COVID-19 breakthrough infections may represent some concerns in the elderly patients in presence of virus variants.
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21
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Ghazvini K, Karbalaei M, Keikha M. Third booster vaccination and stopping the Omicron, a new variant of concern. VACUNAS 2022; 23:S103-S110. [PMID: 35818430 PMCID: PMC9259195 DOI: 10.1016/j.vacun.2022.05.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 05/21/2022] [Indexed: 11/23/2022]
Abstract
The SARS-CoV-2 omicron variant is recent member of variant of concerns that confer neutralizing antibodies and escape immune system due to harboring more than 40 mutations. Current evidences suggest two dosages SARS-CoV-2 vaccine dose not efficient protects against new variants of SARS-CoV-2; however, recent studies declare that the third booster vaccination can elicit higher antibodies concentration as well as cross-reaction between neutralizing antibodies and new SARS-CoV-2 variants. On the other hand, although a third booster vaccination seems to be benefit in some immunocompromised patients such as recipients of solid-organ transplants or hemodialysis patients, but in other immunosuppressed patients, for instance patients with B cell lymphoproliferative disease partially respond to SARS-CoV-2. Herein, we evaluate the effectiveness of the third booster vaccination against Omicron variant using comprehensive literature review.
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Affiliation(s)
- Kiarash Ghazvini
- Antimicrobial Resistance Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
- Department of Microbiology and Virology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Mohsen Karbalaei
- Department of Microbiology and Virology, Faculty of Medicine, Jiroft University of Medical Sciences, Jiroft, Iran
| | - Masoud Keikha
- Antimicrobial Resistance Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
- Department of Microbiology and Virology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
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22
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Gandhi M. Immunity Against the Omicron Variant From Vaccination, Recovery, or Both. Clin Infect Dis 2022; 75:e672-e674. [PMID: 35234857 PMCID: PMC9402702 DOI: 10.1093/cid/ciac172] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Indexed: 11/14/2022] Open
Affiliation(s)
- Monica Gandhi
- Division of HIV, Infectious Diseases and Global Medicine, University of California, San Francisco, San Francisco, California, USA
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23
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Furukawa H, Oka S, Higuchi T, Nakama M, Nagai N, Tohma S. Anti-SARS-CoV-2 Spike Antibody Titers and Neutralizing Antibodies in Vaccinated Rheumatoid Arthritis Patients. Vaccines (Basel) 2022; 10:vaccines10081365. [PMID: 36016252 PMCID: PMC9414304 DOI: 10.3390/vaccines10081365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 08/18/2022] [Accepted: 08/18/2022] [Indexed: 11/17/2022] Open
Abstract
Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). A serological test is used to assess the efficacy of vaccination. It has been reported that anti-SARS-CoV-2 spike (S) and neutralizing antibody (Ab) levels are lower following vaccination in patients with rheumatic disease. Here, we investigated anti-SARS-CoV-2 S and neutralizing Abs in vaccinated rheumatoid arthritis (RA) patients in Japan. Anti-SARS-CoV-2 S and neutralizing Abs were quantified in 101 RA patients and 117 controls. Anti-SARS-CoV-2 S Ab levels were lower in RA patients than both earlier after vaccination in controls (mean RA 324.1 ± 591.8 SDM vs. control 1216.6 ± 854.4 [U/mL], p < 0.0001) and later after vaccination (324.1 ± 591.8 vs. 582.0 ± 415.6 [U/mL], p = 0.0002). The interval between vaccination of the RA patients and serum collection was longer than for controls early after vaccination (142.1 ± 31.6 vs. 98.3 ± 11.2 [days], p < 0.0001), but shorter than the later sample from the controls (142.1 ± 31.6 vs. 257.3 ± 11.2 [days], p < 0.0001). Importantly, anti-SARS-CoV-2 neutralizing Ab titers in RA patients were higher than in either early or later control samples (10.7 ± 4.9 vs. 8.6 ± 6.6 [%], p = 0.0072, and 10.7 ± 4.9 vs. 3.1 ± 3.7 [%], p < 0.0001, respectively). Anti-SARS-CoV-2 S Ab titers in vaccinated RA patients were lower than in controls, but they were influenced by other clinical manifestations. Anti-SARS-CoV-2 neutralizing Ab levels were independently increased in RA.
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Affiliation(s)
- Hiroshi Furukawa
- Department of Rheumatology, National Hospital Organization Tokyo National Hospital, 3-1-1 Takeoka, Kiyose 204-8585, Japan
- Correspondence: ; Tel.: +81-42-491-2111
| | - Shomi Oka
- Department of Rheumatology, National Hospital Organization Tokyo National Hospital, 3-1-1 Takeoka, Kiyose 204-8585, Japan
| | - Takashi Higuchi
- Department of Rheumatology, National Hospital Organization Tokyo National Hospital, 3-1-1 Takeoka, Kiyose 204-8585, Japan
- Department of Nephrology, Ushiku Aiwa General Hospital, 896 Shishiko-cho, Ushiku 300-1296, Japan
| | - Moriyuki Nakama
- Department of Clinical Laboratory, National Hospital Organization Tokyo National Hospital, 3-1-1 Takeoka, Kiyose 204-8585, Japan
- Department of Clinical Laboratory, National Hospital Organization Shimofusa Psychiatric Medical Center, 578 Heta-cho, Midori-ku, Chiba 266-0007, Japan
| | - Nobuhiro Nagai
- Department of Clinical Laboratory, National Hospital Organization Tokyo National Hospital, 3-1-1 Takeoka, Kiyose 204-8585, Japan
| | - Shigeto Tohma
- Department of Rheumatology, National Hospital Organization Tokyo National Hospital, 3-1-1 Takeoka, Kiyose 204-8585, Japan
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24
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Brüssow H. COVID-19: Omicron - the latest, the least virulent, but probably not the last variant of concern of SARS-CoV-2. Microb Biotechnol 2022; 15:1927-1939. [PMID: 35443078 PMCID: PMC9111164 DOI: 10.1111/1751-7915.14064] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 04/08/2022] [Indexed: 01/10/2023] Open
Abstract
The Omicron variant rapidly became the dominant SARS-CoV-2 strain in South Africa and elsewhere. This review explores whether this rise was due to an increased transmission of the variant or its escape from population immunity by an extensively mutated spike protein. The mutations affected the structure of the spike protein leading to the loss of neutralization by most, but not all, therapeutic monoclonal antibodies. Omicron also shows substantial immune escape from serum antibodies in convalescent patients and vaccinees. A booster immunization increased, however, the titre and breadth of antiviral antibody response. The cellular immune response against Omicron was largely preserved explaining a satisfying protection of boosted vaccinees against severe infections. Clinicians observed less severe infection with Omicron, but other scientists warned that this must not necessarily reflect less intrinsic virulence. However, in animal experiments with mice and hamsters, Omicron infections also displayed a lesser virulence than previous VOCs and lung functions were less compromised. Cell biologists demonstrated that Omicron differs from Delta by preferring the endocytic pathway for cell entry over fusion with the plasma membrane which might explain Omicron's distinct replication along the respiratory tract compared with Delta. Omicron represents a distinct evolutionary lineage that deviated from the mainstream of evolving SARS-CoV-2 already in mid-2020 raising questions about where it circulated before getting widespread in December 2021. The role of Omicron for the future trajectory of the COVID-19 pandemic is discussed.
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Affiliation(s)
- Harald Brüssow
- Laboratory of Gene TechnologyDepartment of BiosystemsKU LeuvenLeuvenBelgium
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25
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Das S, Samanta S, Banerjee J, Pal A, Giri B, Kar SS, Dash SK. Is Omicron the end of pandemic or start of a new innings? Travel Med Infect Dis 2022; 48:102332. [PMID: 35472451 PMCID: PMC9033632 DOI: 10.1016/j.tmaid.2022.102332] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Revised: 04/12/2022] [Accepted: 04/16/2022] [Indexed: 01/07/2023]
Abstract
In the middle of November 2021, Omicron (B.1.1.529), a novel variant of SARS-CoV-2 was identified in South Africa. Owing to continuous increasing cases with rapid transmissibility and immune evasion, the World Health Organization (WHO) has categorized this strain as a variant of concern (VOC). In total, over 60 mutations have been identified in Omicron (BA.1) and latterly, its three sub-lineages (BA.1.1, BA.2, and BA.3) have also been found with additional mutations and pathogenicity. The highly contagious Omicron causes less severe sickness than Delta, but it is still dangerous for those who have not been vaccinated. Following the unique identification of the Omicron variant, a fresh debate has erupted regarding the natural vaccines. A number of experts believe that Omicron can work as a natural vaccine, because it is similar to live attenuated vaccines in certain ways. Additionally, it was highlighted that the high rate of antibody generation in individuals cured of Omicron provide suggestive evidence in favor of those researchers who claimed Omicron acts as natural vaccine. Some disagreements also noted, as it also has tremendous health effects and high infection rate, as similar to the prior variants. This review summarizes the contradictory scenario among the scientists about Omicron variant.
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Affiliation(s)
- Swarnali Das
- Department of Physiology, University of Gour Banga, Malda, 732103, West Bengal, India
| | - Sovan Samanta
- Department of Physiology, University of Gour Banga, Malda, 732103, West Bengal, India
| | - Jhimli Banerjee
- Department of Physiology, University of Gour Banga, Malda, 732103, West Bengal, India
| | - Amitava Pal
- Department of Physiology, City College, 102/1, Raja Rammohan Sarani, Kolkata, 700009, West Bengal, India
| | - Biplab Giri
- Department of Physiology, University of Gour Banga, Malda, 732103, West Bengal, India
| | - Suvrendu Sankar Kar
- Department of Medicine, R.G.Kar Medical College and Hospital, Kolkata, 700004, West Bengal, India.
| | - Sandeep Kumar Dash
- Department of Physiology, University of Gour Banga, Malda, 732103, West Bengal, India.
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26
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Hirsh J, Htay T, Bhalla S, Nguyen V, Cervantes J. Breakthrough SARS-CoV-2 infections after COVID-19 immunization. J Investig Med 2022; 70:1429-1432. [PMID: 35768140 DOI: 10.1136/jim-2021-002131] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/13/2022] [Indexed: 12/15/2022]
Abstract
As no vaccines are 100% effective at preventing illness, COVID-19 vaccine breakthrough cases are expected. We here aim to review the most recent literature on COVID-19 vaccine breakthrough infections. SARS-CoV-2 breakthrough infections are, in general, rare. Age may still be a factor in SARS-CoV-2 infections in immunized individuals.
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Affiliation(s)
- Joshua Hirsh
- Medical Education, Texas Tech University Health Sciences Center El Paso Paul L Foster School of Medicine, El Paso, Texas, USA
| | - Thwe Htay
- Medical Education, Texas Tech University Health Sciences Center El Paso Paul L Foster School of Medicine, El Paso, Texas, USA
| | - Shubhang Bhalla
- Medical Education, Texas Tech University Health Sciences Center El Paso Paul L Foster School of Medicine, El Paso, Texas, USA
| | - Victoria Nguyen
- Medical Education, Texas Tech University Health Sciences Center El Paso Paul L Foster School of Medicine, El Paso, Texas, USA
| | - Jorge Cervantes
- Medical Education, Texas Tech University Health Sciences Center El Paso Paul L Foster School of Medicine, El Paso, Texas, USA
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27
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Lima I, Balbi PP. Estimates of the collective immunity to COVID-19 derived from a stochastic cellular automaton based framework. NATURAL COMPUTING 2022; 21:449-461. [PMID: 35757184 PMCID: PMC9206103 DOI: 10.1007/s11047-022-09893-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 05/10/2022] [Indexed: 06/15/2023]
Abstract
In the context of the propagation of infectious diseases, when a sufficient degree of immunisation is achieved within a population, the spread of the disease is ended or significantly decreased, leading to collective immunity, meaning the indirect protection given by immune individuals to susceptible individuals. Here we describe the estimates of the collective immunity to COVID-19 from a stochastic cellular automaton based model designed to emulate the spread of SARS-CoV-2 in a population of static individuals interacting only via a Moore neighbourhood of radius one, with a view to analyze the impact of initially immune individuals on the dynamics of COVID-19. This impact was measured by comparing a progression of initial immunity ratio-the percentage of immunised individuals before patient zero starts infecting its neighbourhood-from 0 to 95% of the initial population, with the number of susceptible individuals not contaminated, the peak value of active cases, the total number of deaths and the emulated pandemic duration in days. The influence of this range of immunities over the model was tested with different parameterisations regarding the uncertainties involved in the model such as the durations of the cellular automaton states, the contamination contributions of each state and the state transition probabilities. A collective immunity threshold of 55 % ± 2.5 % on average was obtained from this procedure, under four distinct parameterisations, which is in tune with the estimates of the currently available medical literature, even increasing the uncertainty of the input parameters.
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Affiliation(s)
- Isaías Lima
- Pós-Graduação em Engenharia Elétrica e Computação, Universidade Presbiteriana Mackenzie, Rua da Consolação 896, Consolação, 01302-907 São Paulo, SP Brazil
| | - Pedro Paulo Balbi
- Faculdade de Computação e Informática & Pós-Graduação em Engenharia Elétrica e Computação, Universidade Presbiteriana Mackenzie, Rua da Consolação 896, Consolação, 01302-907 São Paulo, SP Brazil
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28
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Midorikawa R, Nakama M, Furukawa H, Oka S, Higuchi T, Nagai H, Nagai N, Tohma S. Detection of SARS-CoV-2 Nucleocapsid, Spike, and Neutralizing Antibodies in Vaccinated Japanese. Viruses 2022; 14:v14050965. [PMID: 35632710 PMCID: PMC9144302 DOI: 10.3390/v14050965] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 04/27/2022] [Accepted: 05/03/2022] [Indexed: 12/30/2022] Open
Abstract
Serological detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nucleocapsid (N), spike (S), and neutralizing antibodies (Abs) is commonly undertaken to evaluate the efficacy of vaccination. However, the relative efficiency of different SARS-CoV-2 Ab detection systems has not been extensively investigated. Here, we evaluated serological test systems in vaccinated Japanese. SARS-CoV-2 N, S, and neutralizing Abs in sera of 375 healthy subjects a mean 253 days after vaccination were assessed. The sensitivity of Elecsys Anti-SARS-CoV-2 S (Roche S) and Anti-SARS-CoV-2 S IgG (Fujirebio S) was 100% and 98.9%, respectively, with a specificity of 100% for both. The sensitivity of Anti-SARS-CoV-2 neutralizing Ab (MBL Neu) was 2.7%, and the specificity was 100%. Fujirebio S correlated with Roche S (rho = 0.9182, p = 3.97 × 10−152). Fujirebio S (rho = 0.1295, p = 0.0121) and Roche S (rho = 0.1232, p = 0.0170) correlated weakly with MBL Neu. However, Roche S did correlate with MBL Neu in patients with COVID-19 (rho = 0.8299, p = 1.01 × 10−12) and in healthy subjects more recently after vaccination (mean of 90 days, rho = 0.5306, p = 0.0003). Thus, the Fujirebio S and Roche S results were very similar, but neither correlated with neutralizing antibody titers by MBL Neu at a later time after vaccination.
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Affiliation(s)
- Rie Midorikawa
- Department of Clinical Laboratory, National Hospital Organization Tokyo National Hospital, 3-1-1 Takeoka, Kiyose 204-8585, Japan; (R.M.); (M.N.); (N.N.)
| | - Moriyuki Nakama
- Department of Clinical Laboratory, National Hospital Organization Tokyo National Hospital, 3-1-1 Takeoka, Kiyose 204-8585, Japan; (R.M.); (M.N.); (N.N.)
- Department of Clinical Laboratory, National Hospital Organization Shimofusa Psychiatric Medical Center, 578 Heta-cho, Midori-ku, Chiba 266-0007, Japan
| | - Hiroshi Furukawa
- Department of Rheumatology, National Hospital Organization Tokyo National Hospital, 3-1-1 Takeoka, Kiyose 204-8585, Japan; (S.O.); (T.H.); (S.T.)
- Clinical Research Center for Allergy and Rheumatology, National Hospital Organization Sagamihara National Hospital, 18-1 Sakuradai, Minami-ku, Sagamihara 252-0392, Japan
- Correspondence: ; Tel.: +81-42-491-2111; Fax: +81-42-494-2168
| | - Shomi Oka
- Department of Rheumatology, National Hospital Organization Tokyo National Hospital, 3-1-1 Takeoka, Kiyose 204-8585, Japan; (S.O.); (T.H.); (S.T.)
- Clinical Research Center for Allergy and Rheumatology, National Hospital Organization Sagamihara National Hospital, 18-1 Sakuradai, Minami-ku, Sagamihara 252-0392, Japan
| | - Takashi Higuchi
- Department of Rheumatology, National Hospital Organization Tokyo National Hospital, 3-1-1 Takeoka, Kiyose 204-8585, Japan; (S.O.); (T.H.); (S.T.)
- Department of Nephrology, Ushiku Aiwa General Hospital, 896 Shishiko-cho, Ushiku 300-1296, Japan
| | - Hideaki Nagai
- Department of Respiratory Medicine, National Hospital Organization Tokyo National Hospital, 3-1-1 Takeoka, Kiyose 204-8585, Japan;
| | - Nobuhiro Nagai
- Department of Clinical Laboratory, National Hospital Organization Tokyo National Hospital, 3-1-1 Takeoka, Kiyose 204-8585, Japan; (R.M.); (M.N.); (N.N.)
| | - Shigeto Tohma
- Department of Rheumatology, National Hospital Organization Tokyo National Hospital, 3-1-1 Takeoka, Kiyose 204-8585, Japan; (S.O.); (T.H.); (S.T.)
- Clinical Research Center for Allergy and Rheumatology, National Hospital Organization Sagamihara National Hospital, 18-1 Sakuradai, Minami-ku, Sagamihara 252-0392, Japan
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29
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Machado BAS, Hodel KVS, Fonseca LMDS, Pires VC, Mascarenhas LAB, da Silva Andrade LPC, Moret MA, Badaró R. The Importance of Vaccination in the Context of the COVID-19 Pandemic: A Brief Update Regarding the Use of Vaccines. Vaccines (Basel) 2022; 10:591. [PMID: 35455340 PMCID: PMC9027942 DOI: 10.3390/vaccines10040591] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 04/06/2022] [Accepted: 04/08/2022] [Indexed: 02/06/2023] Open
Abstract
The COVID-19 pandemic has led the world to undertake the largest vaccination campaign in human history. In record time, unprecedented scientific and governmental efforts have resulted in the acquisition of immunizers utilizing different technologies (nucleotide acids, viral vectors, inactivated and protein-based vaccines). Currently, 33 vaccines have already been approved by regulatory agencies in different countries, and more than 10 billion doses have been administered worldwide. Despite the undeniable impact of vaccination on the control of the pandemic, the recurrent emergence of new variants of interest has raised new challenges. The recent viral mutations precede new outbreaks that rapidly spread at global proportions. In addition, reducing protective efficacy rates have been observed among the main authorized vaccines. Besides these issues, several other crucial issues for the appropriate combatting of the pandemic remain uncertain or under investigation. Particularly noteworthy issues include the use of vaccine-boosting strategies to increase protection; concerns related to the long-term safety of vaccines, child immunization reliability and uncommon adverse events; the persistence of the virus in society; and the transition from a pandemic to an endemic state. In this review, we describe the updated scenario regarding SARS-CoV-2 variants and COVID-19 vaccines. In addition, we outline current discussions covering COVID-19 vaccine safety and efficacy, and the future pandemic perspectives.
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Affiliation(s)
- Bruna Aparecida Souza Machado
- SENAI Institute of Innovation (ISI) in Health Advanced Systems (CIMATEC ISI SAS), University Center SENAI/CIMATEC, Salvador 41650-010, Brazil; (K.V.S.H.); (L.M.d.S.F.); (V.C.P.); (L.A.B.M.); (L.P.C.d.S.A.); (M.A.M.); (R.B.)
| | - Katharine Valéria Saraiva Hodel
- SENAI Institute of Innovation (ISI) in Health Advanced Systems (CIMATEC ISI SAS), University Center SENAI/CIMATEC, Salvador 41650-010, Brazil; (K.V.S.H.); (L.M.d.S.F.); (V.C.P.); (L.A.B.M.); (L.P.C.d.S.A.); (M.A.M.); (R.B.)
| | - Larissa Moraes dos Santos Fonseca
- SENAI Institute of Innovation (ISI) in Health Advanced Systems (CIMATEC ISI SAS), University Center SENAI/CIMATEC, Salvador 41650-010, Brazil; (K.V.S.H.); (L.M.d.S.F.); (V.C.P.); (L.A.B.M.); (L.P.C.d.S.A.); (M.A.M.); (R.B.)
| | - Vinícius Couto Pires
- SENAI Institute of Innovation (ISI) in Health Advanced Systems (CIMATEC ISI SAS), University Center SENAI/CIMATEC, Salvador 41650-010, Brazil; (K.V.S.H.); (L.M.d.S.F.); (V.C.P.); (L.A.B.M.); (L.P.C.d.S.A.); (M.A.M.); (R.B.)
| | - Luis Alberto Brêda Mascarenhas
- SENAI Institute of Innovation (ISI) in Health Advanced Systems (CIMATEC ISI SAS), University Center SENAI/CIMATEC, Salvador 41650-010, Brazil; (K.V.S.H.); (L.M.d.S.F.); (V.C.P.); (L.A.B.M.); (L.P.C.d.S.A.); (M.A.M.); (R.B.)
| | - Leone Peter Correia da Silva Andrade
- SENAI Institute of Innovation (ISI) in Health Advanced Systems (CIMATEC ISI SAS), University Center SENAI/CIMATEC, Salvador 41650-010, Brazil; (K.V.S.H.); (L.M.d.S.F.); (V.C.P.); (L.A.B.M.); (L.P.C.d.S.A.); (M.A.M.); (R.B.)
| | - Marcelo Albano Moret
- SENAI Institute of Innovation (ISI) in Health Advanced Systems (CIMATEC ISI SAS), University Center SENAI/CIMATEC, Salvador 41650-010, Brazil; (K.V.S.H.); (L.M.d.S.F.); (V.C.P.); (L.A.B.M.); (L.P.C.d.S.A.); (M.A.M.); (R.B.)
- UNEB, Universidade do Estado da Bahia, Salvador 41150-000, Brazil
| | - Roberto Badaró
- SENAI Institute of Innovation (ISI) in Health Advanced Systems (CIMATEC ISI SAS), University Center SENAI/CIMATEC, Salvador 41650-010, Brazil; (K.V.S.H.); (L.M.d.S.F.); (V.C.P.); (L.A.B.M.); (L.P.C.d.S.A.); (M.A.M.); (R.B.)
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