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Class J, Simons LM, Lorenzo-Redondo R, Achi JG, Cooper L, Dangi T, Penaloza-MacMaster P, Ozer EA, Lutz SE, Rong L, Hultquist JF, Richner JM. Evolution of SARS-CoV-2 in the murine central nervous system drives viral diversification. Nat Microbiol 2024; 9:2383-2394. [PMID: 39179693 DOI: 10.1038/s41564-024-01786-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 07/18/2024] [Indexed: 08/26/2024]
Abstract
Severe coronavirus disease 2019 and post-acute sequelae of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection are associated with neurological complications that may be linked to direct infection of the central nervous system (CNS), but the selective pressures ruling neuroinvasion are poorly defined. Here we assessed SARS-CoV-2 evolution in the lung versus CNS of infected mice. Higher levels of viral divergence were observed in the CNS than the lung after intranasal challenge with a high frequency of mutations in the spike furin cleavage site (FCS). Deletion of the FCS significantly attenuated virulence after intranasal challenge, with lower viral titres and decreased morbidity compared with the wild-type virus. Intracranial inoculation of the FCS-deleted virus, however, was sufficient to restore virulence. After intracranial inoculation, both viruses established infection in the lung, but dissemination from the CNS to the lung required the intact FCS. Cumulatively, these data suggest a critical role for the FCS in determining SARS-CoV-2 tropism and compartmentalization.
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Affiliation(s)
- Jacob Class
- Department of Microbiology and Immunology, College of Medicine, University of Illinois Chicago, Chicago, IL, USA
| | - Lacy M Simons
- Department of Medicine, Division of Infectious Diseases, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Center for Pathogen Genomics and Microbial Evolution, Havey Institute for Global Health, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Ramon Lorenzo-Redondo
- Department of Medicine, Division of Infectious Diseases, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Center for Pathogen Genomics and Microbial Evolution, Havey Institute for Global Health, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Jazmin Galván Achi
- Department of Microbiology and Immunology, College of Medicine, University of Illinois Chicago, Chicago, IL, USA
| | - Laura Cooper
- Department of Microbiology and Immunology, College of Medicine, University of Illinois Chicago, Chicago, IL, USA
| | - Tanushree Dangi
- Department of Microbiology-Immunology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Pablo Penaloza-MacMaster
- Department of Microbiology-Immunology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Egon A Ozer
- Department of Medicine, Division of Infectious Diseases, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Center for Pathogen Genomics and Microbial Evolution, Havey Institute for Global Health, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Sarah E Lutz
- Department of Anatomy and Cell Biology, College of Medicine, University of Illinois Chicago, Chicago, IL, USA
| | - Lijun Rong
- Department of Microbiology and Immunology, College of Medicine, University of Illinois Chicago, Chicago, IL, USA
| | - Judd F Hultquist
- Department of Medicine, Division of Infectious Diseases, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
- Center for Pathogen Genomics and Microbial Evolution, Havey Institute for Global Health, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
| | - Justin M Richner
- Department of Microbiology and Immunology, College of Medicine, University of Illinois Chicago, Chicago, IL, USA.
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Middleton C, Larremore DB. Modeling the transmission mitigation impact of testing for infectious diseases. SCIENCE ADVANCES 2024; 10:eadk5108. [PMID: 38875334 PMCID: PMC11177932 DOI: 10.1126/sciadv.adk5108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 05/10/2024] [Indexed: 06/16/2024]
Abstract
A fundamental question of any program focused on the testing and timely diagnosis of a communicable disease is its effectiveness in reducing transmission. Here, we introduce testing effectiveness (TE)-the fraction by which testing and post-diagnosis isolation reduce transmission at the population scale-and a model that incorporates test specifications and usage, within-host pathogen dynamics, and human behaviors to estimate TE. Using TE to guide recommendations, we show that today's rapid diagnostics should be used immediately upon symptom onset to control influenza A and respiratory syncytial virus but delayed by up to two days to control omicron-era severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Furthermore, while rapid tests are superior to reverse transcription quantitative polymerase chain reaction (RT-qPCR) to control founder-strain SARS-CoV-2, omicron-era changes in viral kinetics and rapid test sensitivity cause a reversal, with higher TE for RT-qPCR despite longer turnaround times. Last, we illustrate the model's flexibility by quantifying trade-offs in the use of post-diagnosis testing to shorten isolation times.
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Affiliation(s)
- Casey Middleton
- Department of Computer Science, University of Colorado Boulder, Boulder, CO, USA
- BioFrontiers Institute, University of Colorado Boulder, Boulder, CO, USA
| | - Daniel B. Larremore
- Department of Computer Science, University of Colorado Boulder, Boulder, CO, USA
- BioFrontiers Institute, University of Colorado Boulder, Boulder, CO, USA
- Santa Fe Institute, Santa Fe, NM, USA
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3
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Liao Y, Su J, Zhao J, Qin Z, Zhang Z, Gao W, Wan J, Liao Y, Zou X, He X. The effectiveness of booster vaccination of inactivated COVID-19 vaccines against susceptibility, infectiousness, and transmission of omicron BA.2 variant: a retrospective cohort study in Shenzhen, China. Front Immunol 2024; 15:1359380. [PMID: 38881892 PMCID: PMC11176464 DOI: 10.3389/fimmu.2024.1359380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 04/04/2024] [Indexed: 06/18/2024] Open
Abstract
Little studies evaluated the effectiveness of booster vaccination of inactivated COVID-19 vaccines against being infected (susceptibility), infecting others (infectiousness), and spreading the disease from one to another (transmission). Therefore, we conducted a retrospective cohort study to evaluate the effectiveness of booster vaccination of inactivated COVID-19 vaccines against susceptibility, infectiousness, and transmission in Shenzhen during an Omicron BA.2 outbreak period from 1 February to 21 April 2022. The eligible individuals were classified as four sub-cohorts according to the inactivated COVID-19 vaccination status of both the close contacts and their index cases: group 2-2, fully vaccinated close contacts seeded by fully vaccinated index cases (reference group); group 2-3, booster-vaccinated close contacts seeded by fully vaccinated index cases; group 3-2, fully vaccinated close contacts seeded by booster-vaccinated index cases; and group 3-3, booster-vaccinated close contacts seeded by booster-vaccinated index cases. Univariate and multivariate logistic regression analyses were applied to estimate the effectiveness of booster vaccination. The sample sizes of groups 2-2, 2-3, 3-2, and 3-3 were 846, 1,115, 1,210, and 2,417, respectively. We found that booster vaccination had an effectiveness against infectiousness of 44.9% (95% CI: 19.7%, 62.2%) for the adults ≥ 18 years, 62.2% (95% CI: 32.0%, 78.9%) for the female close contacts, and 60.8% (95% CI: 38.5%, 75.1%) for the non-household close contacts. Moreover, booster vaccination had an effectiveness against transmission of 29.0% (95% CI: 3.2%, 47.9%) for the adults ≥ 18 years, 38.9% (95% CI: 3.3%, 61.3%) for the female close contacts, and 45.8% (95% CI: 22.1%, 62.3%) for the non-household close contacts. However, booster vaccination against susceptibility did not provide any protective effect. In summary, this study confirm that booster vaccination of the inactivated COVID-19 vaccines provides low level of protection and moderate level of protection against Omicron BA.2 transmission and infectiousness, respectively. However, booster vaccination does not provide any protection against Omicron BA.2 susceptibility.
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Affiliation(s)
- Yuxue Liao
- Office of Emergency, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Jiao Su
- Department of Biochemistry, Changzhi Medical College, Changzhi, China
| | - Jieru Zhao
- Department of Infectious Disease, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, China
| | - Zhen Qin
- Class of 2002 of the Department of Preventive Medicine, Changzhi Medical College, Changzhi, China
| | - Zhuo'Ao Zhang
- Class of 2002 of the Department of Preventive Medicine, Changzhi Medical College, Changzhi, China
| | - Wei Gao
- Office of Emergency, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Jia Wan
- Office of Emergency, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Yi Liao
- Office of Emergency, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Xuan Zou
- Office of Emergency, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Xiaofeng He
- Institute of Evidence-Based Medicine, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, China
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4
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Oordt-Speets AM, Spinardi JR, Mendoza CF, Yang J, del Carmen Morales G, Kyaw MH. Duration of SARS-CoV-2 shedding: A systematic review. J Glob Health 2024; 14:05005. [PMID: 38547496 PMCID: PMC10978056 DOI: 10.7189/jogh.14.05005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/02/2024] Open
Abstract
Background Positive viral severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) cultures indicate shedding of infectious virus and corresponding transmission risk of coronavirus disease 2019 (COVID-19). The research question of this systematic review was: Is there a discernible pattern in the timing of SARS-CoV-2 virus isolation, and what is the proportion of positive and negative results for isolation of SARS-CoV-2 virus with viral culture relative to the onset of clinical symptoms or the day of diagnosis, as indicated by longitudinal studies? Methods We systematically searched PubMed and Embase from inception to 16 February 2023 for English-language studies with serial viral culture testing within symptomatic or asymptomatic SARS-CoV-2 infected persons during the post-vaccination period. Outcomes of interest were the daily culture status per study and the overall daily culture positivity rate of SARS-CoV-2. We critically appraised the selected studies using the Newcastle-Ottawa quality assessment scale. Results We included 14 viral shedding studies in this systematic review. Positive viral SARS-CoV-2 cultures were detected in samples ranging from 4 days before to 18 days after symptom onset. The daily culture SARS-CoV-2 positivity rate since symptom onset or diagnosis showed a steep decline between day 5 and 9, starting with a peak ranging from 44% to 50% on days -1 to 5, decreasing to 28% on day 7 and 11% on day 9, and finally ranging between 0% and 8% on days 10-17. Conclusions Viral shedding peaked within 5 days since symptom onset or diagnosis and the culture positivity rate rapidly declined hereafter. This systematic review provides an overview of current evidence on the daily SARS-CoV-2 culture positivity rates during the post-vaccination period. These findings could be used to estimate the effectiveness of public health control measures, including treatment and preventive strategies, to reduce the spread of COVID-19.
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Affiliation(s)
| | - Julia R Spinardi
- Vaccine Medical Affairs, Emerging Markets, Pfizer Inc., Itapevi, Brazil
| | | | - Jingyan Yang
- Global Value and Access, Pfizer Inc., New York, USA
| | | | - Moe H Kyaw
- Vaccine Scientific Affairs, Emerging Markets, Pfizer Inc., New York, USA
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5
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Farjo M, Koelle K, Martin MA, Gibson LL, Walden KKO, Rendon G, Fields CJ, Alnaji FG, Gallagher N, Luo CH, Mostafa HH, Manabe YC, Pekosz A, Smith RL, McManus DD, Brooke CB. Within-host evolutionary dynamics and tissue compartmentalization during acute SARS-CoV-2 infection. J Virol 2024; 98:e0161823. [PMID: 38174928 PMCID: PMC10805032 DOI: 10.1128/jvi.01618-23] [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: 10/16/2023] [Accepted: 12/01/2023] [Indexed: 01/05/2024] Open
Abstract
The global evolution of SARS-CoV-2 depends in part upon the evolutionary dynamics within individual hosts with varying immune histories. To characterize the within-host evolution of acute SARS-CoV-2 infection, we sequenced saliva and nasal samples collected daily from vaccinated and unvaccinated individuals early during infection. We show that longitudinal sampling facilitates high-confidence genetic variant detection and reveals evolutionary dynamics missed by less-frequent sampling strategies. Within-host dynamics in both unvaccinated and vaccinated individuals appeared largely stochastic; however, in rare cases, minor genetic variants emerged to frequencies sufficient for forward transmission. Finally, we detected significant genetic compartmentalization of viral variants between saliva and nasal swab sample sites in many individuals. Altogether, these data provide a high-resolution profile of within-host SARS-CoV-2 evolutionary dynamics.IMPORTANCEWe detail the within-host evolutionary dynamics of SARS-CoV-2 during acute infection in 31 individuals using daily longitudinal sampling. We characterized patterns of mutational accumulation for unvaccinated and vaccinated individuals, and observed that temporal variant dynamics in both groups were largely stochastic. Comparison of paired nasal and saliva samples also revealed significant genetic compartmentalization between tissue environments in multiple individuals. Our results demonstrate how selection, genetic drift, and spatial compartmentalization all play important roles in shaping the within-host evolution of SARS-CoV-2 populations during acute infection.
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Affiliation(s)
- Mireille Farjo
- Department of Microbiology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Katia Koelle
- Department of Biology, Emory University, Atlanta, Georgia, USA
| | - Michael A. Martin
- Department of Biology, Emory University, Atlanta, Georgia, USA
- Population Biology, Ecology, and Evolution Graduate Program, Emory University, Atlanta, Georgia, USA
| | - Laura L. Gibson
- Division of Infectious Diseases and Immunology, Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, USA
- Department of Pediatrics, University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Kimberly K. O. Walden
- High-Performance Biological Computing at the Roy J. Carver Biotechnology Center, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Gloria Rendon
- High-Performance Biological Computing at the Roy J. Carver Biotechnology Center, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Christopher J. Fields
- High-Performance Biological Computing at the Roy J. Carver Biotechnology Center, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Fadi G. Alnaji
- Department of Microbiology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Nicholas Gallagher
- Division of Medical Microbiology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Chun Huai Luo
- Division of Medical Microbiology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Heba H. Mostafa
- Division of Medical Microbiology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Yukari C. Manabe
- Division of Infectious Disease, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Andrew Pekosz
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Rebecca L. Smith
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
- Department of Pathobiology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
- Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - David D. McManus
- Division of Cardiology, University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Christopher B. Brooke
- Department of Microbiology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
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6
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Kampf G. Does the COVID-19 Vaccination Reduce the Risk to Transmit SARS-CoV-2 to Others? ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 1457:247-264. [PMID: 39283431 DOI: 10.1007/978-3-031-61939-7_14] [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: 11/03/2024]
Abstract
It has been assumed that the COVID-19 vaccination reduces the risk of transmission to others. Results during the delta predominance show that the viral load in the vaccinated population is not consistently lower compared to the unvaccinated, and during the omicron predominance, the viral load was even somewhat higher. Levels of infectious SARS-CoV-2 were partly lower in the vaccinated population. Viral loads were mostly lower in re-infections compared to breakthrough infections. Viral clearance including the detection of infectious virus has mostly been described to be faster in the vaccinated population suggesting a shorter duration as a possible source for transmission. The epidemiological relevance of this finding remains uncertain. Approximately half of the transmission studies found lower secondary attack rates from the fully vaccinated population, but the results are probably best explained by the vaccination status of the contact population. Public health data from the UK show that the number of COVID-19 cases is higher among the fully vaccinated and boosted population who might be possible sources, in contrast to lower case numbers within the first three months among the vaccinated obtained in phase 3 trials on symptomatic cases. Overall, there is no convincing evidence that the COVID-19 vaccination significantly reduces the risk to transmit SARS-CoV-2 to others.
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Affiliation(s)
- Günter Kampf
- University Medicine Greifswald, Ferdinand-Sauerbruch-Strasse, 17475, Greifswald, Germany.
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7
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Butzler MA, Reed JL, Knapton KM, Afzal T, Agarwal AK, Schaeffer J, Saraiya N, Oti L, White ER, Giacobbe E, Simons LM, Ozer EA, McFall SM. Evaluation of the analytical performance of the 15-minute point-of-care DASH™ SARS-CoV-2 RT-qPCR test. Diagn Microbiol Infect Dis 2024; 108:116120. [PMID: 37898036 PMCID: PMC10842742 DOI: 10.1016/j.diagmicrobio.2023.116120] [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: 08/30/2023] [Revised: 10/10/2023] [Accepted: 10/21/2023] [Indexed: 10/30/2023]
Abstract
Accurate and timely diagnosis for COVID-19 diagnosis allows highly effective antiviral medications to be prescribed. The DASH™ Rapid PCR System is a sample-to-answer point-of-care platform combining state-of-the-art PCR kinetics with sequence specific hybridization. The platform's first assay, the DASH™ SARS-CoV-2/S test for anterior nares direct swab specimens, received FDA Emergency Use Authorization in March 2022 for point-of-care use. Here we report the analytical characteristics of the assay including limit of detection, dynamic range, and robustness of SARS-CoV-2 variant detection. The limit of detection was determined by testing swabs contrived with one hundred copies of wild type or Omicron BA.5 virus and detecting 20/20 and 19/20, respectively. The dynamic range was assessed with contrived swabs containing 102-106 copies; the log-linear relationship between Cq and copy input was plotted, and the qPCR efficiency calculated from the slope of the line was 101.4%. Detection of seven SARS-CoV-2 variants was demonstrated.
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Affiliation(s)
- Matthew A Butzler
- Center for Innovation in Global Health Technologies (CIGHT), Robert J. Havey Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, IL 60611 United States; Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208 United States
| | - Jennifer L Reed
- Center for Innovation in Global Health Technologies (CIGHT), Robert J. Havey Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, IL 60611 United States; Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208 United States
| | - Kirsten M Knapton
- Center for Innovation in Global Health Technologies (CIGHT), Robert J. Havey Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, IL 60611 United States; Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208 United States
| | - Tania Afzal
- Center for Innovation in Global Health Technologies (CIGHT), Robert J. Havey Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, IL 60611 United States; Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208 United States
| | - Abhishek K Agarwal
- Center for Innovation in Global Health Technologies (CIGHT), Robert J. Havey Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, IL 60611 United States; Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208 United States
| | - Jakob Schaeffer
- Center for Innovation in Global Health Technologies (CIGHT), Robert J. Havey Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, IL 60611 United States; Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208 United States
| | - Neeraj Saraiya
- Center for Innovation in Global Health Technologies (CIGHT), Robert J. Havey Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, IL 60611 United States; Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208 United States
| | - Lisa Oti
- Center for Innovation in Global Health Technologies (CIGHT), Robert J. Havey Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, IL 60611 United States; Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208 United States
| | - Ezekiel R White
- Center for Innovation in Global Health Technologies (CIGHT), Robert J. Havey Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, IL 60611 United States; Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208 United States
| | - Emilie Giacobbe
- Center for Innovation in Global Health Technologies (CIGHT), Robert J. Havey Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, IL 60611 United States; Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208 United States
| | - Lacy M Simons
- Center for Pathogen Genomics and Microbial Evolution (CPGME), Robert J. Havey Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, IL 60611 United States; Division of Infectious Diseases, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611 United States
| | - Egon A Ozer
- Center for Pathogen Genomics and Microbial Evolution (CPGME), Robert J. Havey Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, IL 60611 United States; Division of Infectious Diseases, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611 United States
| | - Sally M McFall
- Center for Innovation in Global Health Technologies (CIGHT), Robert J. Havey Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, IL 60611 United States; Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208 United States.
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8
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Silva-Moraes V, Souquette A, Sautto GA, Paciello I, Antonelli G, Andreano E, Rappuoli R, Teixeira-Carvalho A, Ross TM. Prior SARS-CoV-2 Infection Enhances Initial mRNA Vaccine Response with a Lower Impact on Long-Term Immunity. Immunohorizons 2023; 7:635-651. [PMID: 37819998 PMCID: PMC10615651 DOI: 10.4049/immunohorizons.2300041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 09/15/2023] [Indexed: 10/13/2023] Open
Abstract
Spike-encoding mRNA vaccines in early 2021 effectively reduced SARS-CoV-2-associated morbidity and mortality. New booster regimens were introduced due to successive waves of distinct viral variants. Therefore, people now have a diverse immune memory resulting from multiple SARS-CoV-2 Ag exposures, from infection to following vaccination. This level of community-wide immunity can induce immunological protection from SARS-CoV-2; however, questions about the trajectory of the adaptive immune responses and long-term immunity with respect to priming and repeated Ag exposure remain poorly explored. In this study, we examined the trajectory of adaptive immune responses following three doses of monovalent Pfizer BNT162b2 mRNA vaccination in immunologically naive and SARS-CoV-2 preimmune individuals without the occurrence of breakthrough infection. The IgG, B cell, and T cell Spike-specific responses were assessed in human blood samples collected at six time points between a moment before vaccination and up to 6 mo after the third immunization. Overall, the impact of repeated Spike exposures had a lower improvement on T cell frequency and longevity compared with IgG responses. Natural infection shaped the responses following the initial vaccination by significantly increasing neutralizing Abs and specific CD4+ T cell subsets (circulating T follicular helper, effector memory, and Th1-producing cells), but it had a small benefit at long-term immunity. At the end of the three-dose vaccination regimen, both SARS-CoV-2-naive and preimmune individuals had similar immune memory quality and quantity. This study provides insights into the durability of mRNA vaccine-induced immunological memory and the effects of preimmunity on long-term responses.
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Affiliation(s)
- Vanessa Silva-Moraes
- Center for Vaccines and Immunology, University of Georgia, Athens, GA
- Florida Research and Innovation Center, Cleveland Clinic, Port Saint Lucie, FL
| | - Aisha Souquette
- Department of Immunology, St. Jude Children’s Research Hospital, Memphis, TN
| | - Giuseppe A. Sautto
- Center for Vaccines and Immunology, University of Georgia, Athens, GA
- Florida Research and Innovation Center, Cleveland Clinic, Port Saint Lucie, FL
| | - Ida Paciello
- Monoclonal Antibody Discovery Lab, Foundation Toscana Life Sciences, Siena, Italy
| | - Giada Antonelli
- Monoclonal Antibody Discovery Lab, Foundation Toscana Life Sciences, Siena, Italy
| | - Emanuele Andreano
- Monoclonal Antibody Discovery Lab, Foundation Toscana Life Sciences, Siena, Italy
| | | | | | - Ted M. Ross
- Center for Vaccines and Immunology, University of Georgia, Athens, GA
- Florida Research and Innovation Center, Cleveland Clinic, Port Saint Lucie, FL
- Department of Infectious Diseases, University of Georgia, Athens, GA
- Department of Infection Biology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH
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9
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Pellegrinelli L, Luconi E, Marano G, Galli C, Delbue S, Bubba L, Binda S, Castaldi S, Biganzoli E, Pariani E, Boracchi P. A Flexible Regression Modeling Approach Applied to Observational Laboratory Virological Data Suggests That SARS-CoV-2 Load in Upper Respiratory Tract Samples Changes with COVID-19 Epidemiology. Viruses 2023; 15:1988. [PMID: 37896765 PMCID: PMC10610845 DOI: 10.3390/v15101988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 09/12/2023] [Accepted: 09/19/2023] [Indexed: 10/29/2023] Open
Abstract
(1) Background. Exploring the evolution of SARS-CoV-2 load and clearance from the upper respiratory tract samples is important to improving COVID-19 control. Data were collected retrospectively from a laboratory dataset on SARS-CoV-2 load quantified in leftover nasal pharyngeal swabs (NPSs) collected from symptomatic/asymptomatic individuals who tested positive to SARS-CoV-2 RNA detection in the framework of testing activities for diagnostic/screening purpose during the 2020 and 2021 winter epidemic waves. (2) Methods. A Statistical approach (quantile regression and survival models for interval-censored data), novel for this kind of data, was applied. We included in the analysis SARS-CoV-2-positive adults >18 years old for whom at least two serial NPSs were collected. A total of 262 SARS-CoV-2-positive individuals and 784 NPSs were included: 193 (593 NPSs) during the 2020 winter wave (before COVID-19 vaccine introduction) and 69 (191 NPSs) during the 2021 winter wave (all COVID-19 vaccinated). We estimated the trend of the median value, as well as the 25th and 75th centiles of the viral load, from the index episode (i.e., first SARS-CoV-2-positive test) until the sixth week (2020 wave) and the third week (2021 wave). Interval censoring methods were used to evaluate the time to SARS-CoV-2 clearance (defined as Ct < 35). (3) Results. At the index episode, the median value of viral load in the 2021 winter wave was 6.25 log copies/mL (95% CI: 5.50-6.70), and the median value in the 2020 winter wave was 5.42 log copies/mL (95% CI: 4.95-5.90). In contrast, 14 days after the index episode, the median value of viral load was 3.40 log copies/mL (95% CI: 3.26-3.54) for individuals during the 2020 winter wave and 2.93 Log copies/mL (95% CI: 2.80-3.19) for those of the 2021 winter wave. A significant difference in viral load shapes was observed among age classes (p = 0.0302) and between symptomatic and asymptomatic participants (p = 0.0187) for the first wave only; the median viral load value is higher at the day of episode index for the youngest (18-39 years) as compared to the older (40-64 years and >64 years) individuals. In the 2021 epidemic, the estimated proportion of individuals who can be considered infectious (Ct < 35) was approximately half that of the 2020 wave. (4) Conclusions. In case of the emergence of new SARS-CoV-2 variants, the application of these statistical methods to the analysis of virological laboratory data may provide evidence with which to inform and promptly support public health decision-makers in the modification of COVID-19 control measures.
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Affiliation(s)
- Laura Pellegrinelli
- Department of Biomedical Sciences for Health, University of Milan, 20133 Milan, Italy; (L.P.)
| | - Ester Luconi
- Department of Biomedical and Clinical Sciences (DIBIC), University of Milan, 20133 Milan, Italy
| | - Giuseppe Marano
- Department of Biomedical and Clinical Sciences (DIBIC), University of Milan, 20133 Milan, Italy
| | - Cristina Galli
- Department of Biomedical Sciences for Health, University of Milan, 20133 Milan, Italy; (L.P.)
| | - Serena Delbue
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, 20133 Milan, Italy
| | - Laura Bubba
- Department of Biomedical Sciences for Health, University of Milan, 20133 Milan, Italy; (L.P.)
| | - Sandro Binda
- Department of Biomedical Sciences for Health, University of Milan, 20133 Milan, Italy; (L.P.)
| | - Silvana Castaldi
- Department of Biomedical Sciences for Health, University of Milan, 20133 Milan, Italy; (L.P.)
- Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Elia Biganzoli
- Department of Biomedical and Clinical Sciences (DIBIC), University of Milan, 20133 Milan, Italy
- Data Science and Research Center (DSRC), L. Sacco, “Luigi Sacco” University Hospital, University of Milan, 20133 Milan, Italy
| | - Elena Pariani
- Department of Biomedical Sciences for Health, University of Milan, 20133 Milan, Italy; (L.P.)
| | - Patrizia Boracchi
- Department of Biomedical and Clinical Sciences (DIBIC), University of Milan, 20133 Milan, Italy
- Data Science and Research Center (DSRC), L. Sacco, “Luigi Sacco” University Hospital, University of Milan, 20133 Milan, Italy
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10
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Richner J, Class J, Simons L, Lorenzo-Redondo R, Cooper L, Dangi T, Penaloza-MacMaster P, Ozer E, Rong L, Hultquist J. SARS-CoV-2 Bottlenecks and Tissue-Specific Adaptation in the Central Nervous System. RESEARCH SQUARE 2023:rs.3.rs-3220157. [PMID: 37790412 PMCID: PMC10543031 DOI: 10.21203/rs.3.rs-3220157/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
Severe COVID-19 and post-acute sequelae of SARS-CoV-2 infection are associated with neurological complications that may be linked to direct infection of the central nervous system (CNS), but the selective pressures ruling neuroinvasion are poorly defined. Here, we assessed SARS-CoV-2 evolution in the lung versus CNS of infected mice. Higher levels of viral diversity were observed in the CNS than the lung after intranasal challenge with a high frequency of mutations in the Spike furin cleavage site (FCS). Deletion of the FCS significantly attenuated virulence after intranasal challenge, with lower viral titers and decreased morbidity compared to the wild-type virus. Intracranial inoculation of the FCS-deleted virus, however, was sufficient to restore virulence. After intracranial inoculation, both viruses established infection in the lung, but this required reversion of the FCS deletion. Cumulatively, these data suggest a critical role for the FCS in determining SARS-CoV-2 tropism and compartmentalization with possible implications for the treatment of neuroinvasive COVID-19.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Lijun Rong
- Department of Microbiology and Immunology, College of Medicine, University of Illinois at Chicago
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11
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Lane G, Zhou G, Hultquist JF, Simons LM, Redondo RL, Ozer EA, McCarthy DM, Ison MG, Achenbach CJ, Wang X, Wai CM, Wyatt E, Aalsburg A, Yang Q, Noto T, Alisoltani A, Ysselstein D, Awatramani R, Murphy R, Theron G, Zelano C. Quantity of SARS-CoV-2 RNA copies exhaled per minute during natural breathing over the course of COVID-19 infection. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.09.06.23295138. [PMID: 37732212 PMCID: PMC10508818 DOI: 10.1101/2023.09.06.23295138] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/22/2023]
Abstract
SARS-CoV-2 is spread through exhaled breath of infected individuals. A fundamental question in understanding transmission of SARS-CoV-2 is how much virus an individual is exhaling into the environment while they breathe, over the course of their infection. Research on viral load dynamics during COVID-19 infection has focused on internal swab specimens, which provide a measure of viral loads inside the respiratory tract, but not on breath. Therefore, the dynamics of viral shedding on exhaled breath over the course of infection are poorly understood. Here, we collected exhaled breath specimens from COVID-19 patients and used RTq-PCR to show that numbers of exhaled SARS-CoV-2 RNA copies during COVID-19 infection do not decrease significantly until day 8 from symptom-onset. COVID-19-positive participants exhaled an average of 80 SARS-CoV-2 viral RNA copies per minute during the first 8 days of infection, with significant variability both between and within individuals, including spikes over 800 copies a minute in some patients. After day 8, there was a steep drop to levels nearing the limit of detection, persisting for up to 20 days. We further found that levels of exhaled viral RNA increased with self-rated symptom-severity, though individual variation was high. Levels of exhaled viral RNA did not differ across age, sex, time of day, vaccination status or viral variant. Our data provide a fine-grained, direct measure of the number of SARS-CoV-2 viral copies exhaled per minute during natural breathing-including 312 breath specimens collected multiple times daily over the course of infection-in order to fill an important gap in our understanding of the time course of exhaled viral loads in COVID-19.
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12
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Phan T, Brozak S, Pell B, Oghuan J, Gitter A, Hu T, Ribeiro RM, Ke R, Mena KD, Perelson AS, Kuang Y, Wu F. Making waves: Integrating wastewater surveillance with dynamic modeling to track and predict viral outbreaks. WATER RESEARCH 2023; 243:120372. [PMID: 37494742 DOI: 10.1016/j.watres.2023.120372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Revised: 07/10/2023] [Accepted: 07/15/2023] [Indexed: 07/28/2023]
Abstract
Wastewater surveillance has proved to be a valuable tool to track the COVID-19 pandemic. However, most studies using wastewater surveillance data revolve around establishing correlations and lead time relative to reported case data. In this perspective, we advocate for the integration of wastewater surveillance data with dynamic within-host and between-host models to better understand, monitor, and predict viral disease outbreaks. Dynamic models overcome emblematic difficulties of using wastewater surveillance data such as establishing the temporal viral shedding profile. Complementarily, wastewater surveillance data bypasses the issues of time lag and underreporting in clinical case report data, thus enhancing the utility and applicability of dynamic models. The integration of wastewater surveillance data with dynamic models can enhance real-time tracking and prevalence estimation, forecast viral transmission and intervention effectiveness, and most importantly, provide a mechanistic understanding of infectious disease dynamics and the driving factors. Dynamic modeling of wastewater surveillance data will advance the development of a predictive and responsive monitoring system to improve pandemic preparedness and population health.
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Affiliation(s)
- Tin Phan
- Theoretical Biology and Biophysics, Los Alamos National Laboratory, NM 87544, USA
| | - Samantha Brozak
- School of Mathematical and Statistical Sciences, Arizona State University, AZ 85281, USA
| | - Bruce Pell
- Department of Mathematics and Computer Science, Lawrence Technological University, MI 48075, USA
| | - Jeremiah Oghuan
- School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Anna Gitter
- School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Tao Hu
- Department of Geography, Oklahoma State University, Stillwater, OK 74078, USA
| | - Ruy M Ribeiro
- Theoretical Biology and Biophysics, Los Alamos National Laboratory, NM 87544, USA
| | - Ruian Ke
- Theoretical Biology and Biophysics, Los Alamos National Laboratory, NM 87544, USA
| | - Kristina D Mena
- School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA; Texas Epidemic Public Health Institute, Houston, TX 77030, USA
| | - Alan S Perelson
- Theoretical Biology and Biophysics, Los Alamos National Laboratory, NM 87544, USA; Santa Fe Institute, Santa Fe, NM 87501, USA
| | - Yang Kuang
- School of Mathematical and Statistical Sciences, Arizona State University, AZ 85281, USA
| | - Fuqing Wu
- School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA; Texas Epidemic Public Health Institute, Houston, TX 77030, USA.
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13
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Viloria Winnett A, Akana R, Shelby N, Davich H, Caldera S, Yamada T, Reyna JRB, Romano AE, Carter AM, Kim MK, Thomson M, Tognazzini C, Feaster M, Goh YY, Chew YC, Ismagilov RF. Daily SARS-CoV-2 Nasal Antigen Tests Miss Infected and Presumably Infectious People Due to Viral Load Differences among Specimen Types. Microbiol Spectr 2023; 11:e0129523. [PMID: 37314333 PMCID: PMC10434058 DOI: 10.1128/spectrum.01295-23] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 05/21/2023] [Indexed: 06/15/2023] Open
Abstract
In a recent household transmission study of SARS-CoV-2, we found extreme differences in SARS-CoV-2 viral loads among paired saliva, anterior nares swab (ANS), and oropharyngeal swab specimens collected from the same time point. We hypothesized these differences may hinder low-analytical-sensitivity assays (including antigen rapid diagnostic tests [Ag-RDTs]) by using a single specimen type (e.g., ANS) from reliably detecting infected and infectious individuals. We evaluated daily at-home ANS Ag-RDTs (Quidel QuickVue) in a cross-sectional analysis of 228 individuals and a longitudinal analysis (throughout infection) of 17 individuals enrolled early in the course of infection. Ag-RDT results were compared to reverse transcription-quantitative PCR (RT-qPCR) results and high, presumably infectious viral loads (in each, or any, specimen type). The ANS Ag-RDT correctly detected only 44% of time points from infected individuals on cross-sectional analysis, and this population had an inferred limit of detection of 7.6 × 106 copies/mL. From the longitudinal cohort, daily Ag-RDT clinical sensitivity was very low (<3%) during the early, preinfectious period of the infection. Further, the Ag-RDT detected ≤63% of presumably infectious time points. The poor observed clinical sensitivity of the Ag-RDT was similar to what was predicted based on quantitative ANS viral loads and the inferred limit of detection of the ANS Ag-RDT being evaluated, indicating high-quality self-sampling. Nasal Ag-RDTs, even when used daily, can miss individuals infected with the Omicron variant and even those presumably infectious. Evaluations of Ag-RDTs for detection of infected or infectious individuals should be compared with a composite (multispecimen) infection status to correctly assess performance. IMPORTANCE We reveal three findings from a longitudinal study of daily nasal antigen rapid diagnostic test (Ag-RDT) evaluated against SARS-CoV-2 viral load quantification in three specimen types (saliva, nasal swab, and throat swab) in participants enrolled at the incidence of infection. First, the evaluated Ag-RDT showed low (44%) clinical sensitivity for detecting infected persons at all infection stages. Second, the Ag-RDT poorly detected (≤63%) time points that participants had high and presumably infectious viral loads in at least one specimen type. This poor clinical sensitivity to detect infectious individuals is inconsistent with the commonly held view that daily Ag-RDTs have near-perfect detection of infectious individuals. Third, use of a combination nasal-throat specimen type was inferred by viral loads to significantly improve Ag-RDT performance to detect infectious individuals.
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Affiliation(s)
| | - Reid Akana
- California Institute of Technology, Pasadena, California, USA
| | - Natasha Shelby
- California Institute of Technology, Pasadena, California, USA
| | - Hannah Davich
- California Institute of Technology, Pasadena, California, USA
| | - Saharai Caldera
- California Institute of Technology, Pasadena, California, USA
| | - Taikun Yamada
- Pangea Laboratory LLC, Tustin, California, USA
- Zymo Research Corporation, Irvine, California, USA
| | | | - Anna E. Romano
- California Institute of Technology, Pasadena, California, USA
| | | | - Mi Kyung Kim
- California Institute of Technology, Pasadena, California, USA
| | - Matt Thomson
- California Institute of Technology, Pasadena, California, USA
| | | | - Matthew Feaster
- Pasadena Public Health Department, Pasadena, California, USA
| | - Ying-Ying Goh
- Pasadena Public Health Department, Pasadena, California, USA
| | - Yap Ching Chew
- Pangea Laboratory LLC, Tustin, California, USA
- Zymo Research Corporation, Irvine, California, USA
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14
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He X, Cao Y, Lu Y, Qi F, Wang H, Liao X, Xu G, Yang B, Ma J, Li D, Tang X, Zhang Z. Breakthrough infection evokes the nasopharyngeal innate immune responses established by SARS-CoV-2-inactivated vaccine. Front Immunol 2023; 14:1181121. [PMID: 37457721 PMCID: PMC10349640 DOI: 10.3389/fimmu.2023.1181121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 05/30/2023] [Indexed: 07/18/2023] Open
Abstract
Nasopharyngeal immune responses are vital for defense against SARS-CoV-2 infection. Although vaccination via muscle immunization has shown a high efficacy in reducing severity and death in COVID-19 infection, breakthrough infection frequently happens because of mutant variants and incompletely established mucosal immunity, especially in the upper respiratory tract. Here, we performed a single-cell RNA and T-cell receptor repertoire sequencing and delineated a high-resolution transcriptome landscape of nasopharyngeal mucosal immune and epithelial cells in vaccinated persons with breakthrough infection and non-vaccinated persons with natural infection as control. The epithelial cells showed anti-virus gene expression diversity and potentially recruited innate immune cells into the nasopharyngeal mucous of vaccinated patients. Upon infection, they released significant pro-inflammatory cytokines and chemokines by macrophages and monocytes and expressed antigen-presenting relevant genes by dendritic cells. Such immune responses of nasopharyngeal innate immune cells would facilitate the strengthened expression of cytotoxic genes in virus-specific T-cell or B-cell differentiation into antibody-secreting cells at the early stage of breakthrough infection through cell interaction between innate and adaptive immune cells. Notably, these alterations of nasopharyngeal immune cells in breakthrough infection depended on the activated Nuclear factor-κB (NF-κB) and NOD-, LRR- and pyrin domain-containing protein 3 (NLRP3) signaling rather than type I interferon responses due to the general reduction in interferon-stimulated gene expression. Our findings suggest that vaccination potentially strengthens innate immune barriers and virus-specific memory immune cell responses, which could be quickly activated to defend against variant breakthrough infection and maintain nasopharyngeal epithelial cell integrity. Thus, this study highlights the necessity of a boost via nasal mucous after intramuscular immunization.
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Affiliation(s)
- Xiaomeng He
- Institute of Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People’s Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Yingyin Cao
- Institute of Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People’s Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Yanmei Lu
- Institute of Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People’s Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Furong Qi
- Institute of Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People’s Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Haiyan Wang
- Institute of Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People’s Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Xuejiao Liao
- Institute of Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People’s Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Gang Xu
- Institute of Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People’s Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Biao Yang
- Institute of Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People’s Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Junhua Ma
- Institute of Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People’s Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Dapeng Li
- Institute of Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People’s Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Xian Tang
- Institute of Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People’s Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Zheng Zhang
- Institute of Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People’s Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China
- Shenzhen Research Center for Communicable Disease Diagnosis and Treatment of Chinese Academy of Medical Science, Shenzhen, Guangdong, China
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15
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Comparison of culture-competent virus shedding duration of SARS-CoV-2 omicron variant in regard to vaccination status: a prospective cohort study. Vaccine 2023; 41:2769-2772. [PMID: 37003909 PMCID: PMC10040344 DOI: 10.1016/j.vaccine.2023.03.044] [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: 11/22/2022] [Revised: 02/20/2023] [Accepted: 03/22/2023] [Indexed: 03/29/2023]
Abstract
Previous studies have shown that fully vaccinated patients with SARS-CoV-2 Delta variants has shorter viable viral shedding period compared to unvaccinated or partially vaccinated patients. However, data about effects of vaccination against the viable viral shedding period in patients with SARS-CoV-2 Omicron variants were limited. We compared the viable viral shedding period of SARS-CoV-2 omicron variant regard to vaccination status. Saliva samples were obtained daily from patients with SARS-CoV-2 Omicron variant, and genomic assessments and virus culture was performed to those samples. We found no difference in viable viral shedding period between fully vaccinated and not or partially vaccinated, nor between 1st boostered vs non-boostered patients with SARS-CoV-2 Omicron variant.
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16
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Yin Y, Zeng T, Lai M, Luan Z, Wang K, Ma Y, Hu Z, Wang K, Peng Z. Impact of antibody-level on viral shedding in B.1.617.2 (Delta) variant-infected patients analyzed using a joint model of longitudinal and time-to-event data. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2023; 20:8875-8891. [PMID: 37161226 DOI: 10.3934/mbe.2023390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Knowledge of viral shedding remains limited. Repeated measurement data have been rarely used to explore the influencing factors. In this study, a joint model was developed to explore and validate the factors influencing the duration of viral shedding based on longitudinal data and survival data. We divided 361 patients infected with Delta variant hospitalized in Nanjing Second Hospital into two groups (≤ 21 days group and > 21 days group) according to the duration of viral shedding, and compared their baseline characteristics. Correlation analysis was performed to identify the factors influencing the duration of viral shedding. Further, a joint model was established based on longitudinal data and survival data, and the Markov chain Monte Carlo algorithm was used to explain the influencing factors. In correlation analysis, patients having received vaccination had a higher antibody level at admission than unvaccinated patients, and with the increase of antibody level, the duration of viral shedding shortened. The linear mixed-effects model showed the longitudinal variation of logSARS-COV-2 IgM sample/cutoff (S/CO) values, with a parameter estimate of 0.193 and a standard error of 0.017. Considering gender as an influencing factor, the parameter estimate of the Cox model and their standard error were 0.205 and 0.1093 (P = 0.608), the corresponding OR value was 1.228. The joint model output showed that SARS-COV-2 IgM (S/CO) level was strongly associated with the risk of a composite event at the 95% confidence level, and a doubling of SARS-COV-2 IgM (S/CO) level was associated with a 1.38-fold (95% CI: [1.16, 1.72]) increase in the risk of viral non-shedding. A higher antibody level in vaccinated patients, as well as the presence of IgM antibodies in serum, can accelerate shedding of the mutant virus. This study provides some evidence support for vaccine prevention and control of COVID-19 variants.
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Affiliation(s)
- Yi Yin
- School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Ting Zeng
- College of Public Health, Xinjiang Medical University, Urumqi 830017, China
| | - Miao Lai
- School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Zemin Luan
- College of Public Health, Xinjiang Medical University, Urumqi 830017, China
| | - Kai Wang
- Jiangsu Provincial Key Laboratory of Geriatrics, Department of Geriatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing 211166, China
| | - Yuhang Ma
- School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Zhiliang Hu
- Department of Infectious Disease, the Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing 210003, China
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Kai Wang
- Department of Medical Engineering and Technology, Xinjiang Medical University, Urumqi 830017, China
| | - Zhihang Peng
- School of Public Health, Nanjing Medical University, Nanjing 211166, China
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17
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Viloria Winnett A, Akana R, Shelby N, Davich H, Caldera S, Yamada T, Reyna JRB, Romano AE, Carter AM, Kim MK, Thomson M, Tognazzini C, Feaster M, Goh YY, Chew YC, Ismagilov RF. Extreme differences in SARS-CoV-2 viral loads among respiratory specimen types during presumed pre-infectious and infectious periods. PNAS NEXUS 2023; 2:pgad033. [PMID: 36926220 PMCID: PMC10013338 DOI: 10.1093/pnasnexus/pgad033] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 01/18/2023] [Accepted: 01/24/2023] [Indexed: 03/16/2023]
Abstract
SARS-CoV-2 viral-load measurements from a single-specimen type are used to establish diagnostic strategies, interpret clinical-trial results for vaccines and therapeutics, model viral transmission, and understand virus-host interactions. However, measurements from a single-specimen type are implicitly assumed to be representative of other specimen types. We quantified viral-load timecourses from individuals who began daily self-sampling of saliva, anterior-nares (nasal), and oropharyngeal (throat) swabs before or at the incidence of infection with the Omicron variant. Viral loads in different specimen types from the same person at the same timepoint exhibited extreme differences, up to 109 copies/mL. These differences were not due to variation in sample self-collection, which was consistent. For most individuals, longitudinal viral-load timecourses in different specimen types did not correlate. Throat-swab and saliva viral loads began to rise as many as 7 days earlier than nasal-swab viral loads in most individuals, leading to very low clinical sensitivity of nasal swabs during the first days of infection. Individuals frequently exhibited presumably infectious viral loads in one specimen type while viral loads were low or undetectable in other specimen types. Therefore, defining an individual as infectious based on assessment of a single-specimen type underestimates the infectious period, and overestimates the ability of that specimen type to detect infectious individuals. For diagnostic COVID-19 testing, these three single-specimen types have low clinical sensitivity, whereas a combined throat-nasal swab, and assays with high analytical sensitivity, was inferred to have significantly better clinical sensitivity to detect presumed pre-infectious and infectious individuals.
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Affiliation(s)
| | - Reid Akana
- California Institute of Technology, 1200 E. California Blvd, Pasadena, CA 91125, USA
| | - Natasha Shelby
- California Institute of Technology, 1200 E. California Blvd, Pasadena, CA 91125, USA
| | - Hannah Davich
- California Institute of Technology, 1200 E. California Blvd, Pasadena, CA 91125, USA
| | - Saharai Caldera
- California Institute of Technology, 1200 E. California Blvd, Pasadena, CA 91125, USA
| | - Taikun Yamada
- Pangea Laboratory LLC, 14762 Bentley Cir, Tustin, CA 92780, USA.,Zymo Research Corp., 17062 Murphy Ave, Irvine, CA 92614, USA
| | | | - Anna E Romano
- California Institute of Technology, 1200 E. California Blvd, Pasadena, CA 91125, USA
| | - Alyssa M Carter
- California Institute of Technology, 1200 E. California Blvd, Pasadena, CA 91125, USA
| | - Mi Kyung Kim
- California Institute of Technology, 1200 E. California Blvd, Pasadena, CA 91125, USA
| | - Matt Thomson
- California Institute of Technology, 1200 E. California Blvd, Pasadena, CA 91125, USA
| | - Colten Tognazzini
- Pasadena Public Health Department, 1845 N. Fair Oaks Ave, Pasadena, CA 91103, USA
| | - Matthew Feaster
- Pasadena Public Health Department, 1845 N. Fair Oaks Ave, Pasadena, CA 91103, USA
| | - Ying-Ying Goh
- Pasadena Public Health Department, 1845 N. Fair Oaks Ave, Pasadena, CA 91103, USA
| | - Yap Ching Chew
- Pangea Laboratory LLC, 14762 Bentley Cir, Tustin, CA 92780, USA.,Zymo Research Corp., 17062 Murphy Ave, Irvine, CA 92614, USA
| | - Rustem F Ismagilov
- California Institute of Technology, 1200 E. California Blvd, Pasadena, CA 91125, USA
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18
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Abstract
SARS-CoV-2 viral load and detection of infectious virus in the respiratory tract are the two key parameters for estimating infectiousness. As shedding of infectious virus is required for onward transmission, understanding shedding characteristics is relevant for public health interventions. Viral shedding is influenced by biological characteristics of the virus, host factors and pre-existing immunity (previous infection or vaccination) of the infected individual. Although the process of human-to-human transmission is multifactorial, viral load substantially contributed to human-to-human transmission, with higher viral load posing a greater risk for onward transmission. Emerging SARS-CoV-2 variants of concern have further complicated the picture of virus shedding. As underlying immunity in the population through previous infection, vaccination or a combination of both has rapidly increased on a global scale after almost 3 years of the pandemic, viral shedding patterns have become more distinct from those of ancestral SARS-CoV-2. Understanding the factors and mechanisms that influence infectious virus shedding and the period during which individuals infected with SARS-CoV-2 are contagious is crucial to guide public health measures and limit transmission. Furthermore, diagnostic tools to demonstrate the presence of infectious virus from routine diagnostic specimens are needed.
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Affiliation(s)
- Olha Puhach
- Department of Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Benjamin Meyer
- Centre for Vaccinology, Department of Pathology and Immunology, University of Geneva, Geneva, Switzerland
| | - Isabella Eckerle
- Department of Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
- Geneva Centre for Emerging Viral Diseases, Geneva University Hospitals, Geneva, Switzerland.
- Division of Infectious Diseases, Geneva University Hospitals, Geneva, Switzerland.
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19
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Herbert C, Wang B, Lin H, Hafer N, Pretz C, Stamegna P, Tarrant S, Hartin P, Ferranto J, Behar S, Wright C, Orwig T, Suvarna T, Harman E, Schrader S, Nowak C, Kheterpal V, Orvek E, Wong S, Zai A, Barton B, Gerber B, Lemon SC, Filippaios A, D'Amore K, Gibson L, Greene S, Howard-Wilson S, Colubri A, Achenbach C, Murphy R, Heetderks W, Manabe YC, O'Connor L, Fahey N, Luzuriaga K, Broach J, McManus DD, Soni A. Performance of Rapid Antigen Tests Based on Symptom Onset and Close Contact Exposure: A secondary analysis from the Test Us At Home prospective cohort study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.02.21.23286239. [PMID: 36865199 PMCID: PMC9980261 DOI: 10.1101/2023.02.21.23286239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/02/2023]
Abstract
Background The performance of rapid antigen tests for SARS-CoV-2 (Ag-RDT) in temporal relation to symptom onset or exposure is unknown, as is the impact of vaccination on this relationship. Objective To evaluate the performance of Ag-RDT compared with RT-PCR based on day after symptom onset or exposure in order to decide on 'when to test'. Design Setting and Participants The Test Us at Home study was a longitudinal cohort study that enrolled participants over 2 years old across the United States between October 18, 2021 and February 4, 2022. All participants were asked to conduct Ag-RDT and RT-PCR testing every 48 hours over a 15-day period. Participants with one or more symptoms during the study period were included in the Day Post Symptom Onset (DPSO) analyses, while those who reported a COVID-19 exposure were included in the Day Post Exposure (DPE) analysis. Exposure Participants were asked to self-report any symptoms or known exposures to SARS-CoV-2 every 48-hours, immediately prior to conducting Ag-RDT and RT-PCR testing. The first day a participant reported one or more symptoms was termed DPSO 0, and the day of exposure was DPE 0. Vaccination status was self-reported. Main Outcome and Measures Results of Ag-RDT were self-reported (positive, negative, or invalid) and RT-PCR results were analyzed by a central laboratory. Percent positivity of SARS-CoV-2 and sensitivity of Ag-RDT and RT-PCR by DPSO and DPE were stratified by vaccination status and calculated with 95% confidence intervals. Results A total of 7,361 participants enrolled in the study. Among them, 2,086 (28.3%) and 546 (7.4%) participants were eligible for the DPSO and DPE analyses, respectively. Unvaccinated participants were nearly twice as likely to test positive for SARS-CoV-2 than vaccinated participants in event of symptoms (PCR+: 27.6% vs 10.1%) or exposure (PCR+: 43.8% vs. 22.2%). The highest proportion of vaccinated and unvaccinated individuals tested positive on DPSO 2 and DPE 5-8. Performance of RT-PCR and Ag-RDT did not differ by vaccination status. Ag-RDT detected 78.0% (95% Confidence Interval: 72.56-82.61) of PCR-confirmed infections by DPSO 4. For exposed participants, Ag-RDT detected 84.9% (95% CI: 75.0-91.4) of PCR-confirmed infections by day five post-exposure (DPE 5). Conclusions and Relevance Performance of Ag-RDT and RT-PCR was highest on DPSO 0-2 and DPE 5 and did not differ by vaccination status. These data suggests that serial testing remains integral to enhancing the performance of Ag-RDT.
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Cevik M, Kalil AC. Omicron variant: assessing the duration of viral shedding and its implications. Clin Microbiol Infect 2023; 29:133-134. [PMID: 36442799 PMCID: PMC9691509 DOI: 10.1016/j.cmi.2022.11.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 11/20/2022] [Accepted: 11/21/2022] [Indexed: 11/26/2022]
Affiliation(s)
- Muge Cevik
- Division of Infection and Global Health, School of Medicine, University of St Andrews, Fife, UK; Division of Infectious Diseases, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, USA.
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21
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Lyngse FP, Kirkeby CT, Denwood M, Christiansen LE, Mølbak K, Møller CH, Skov RL, Krause TG, Rasmussen M, Sieber RN, Johannesen TB, Lillebaek T, Fonager J, Fomsgaard A, Møller FT, Stegger M, Overvad M, Spiess K, Mortensen LH. Household transmission of SARS-CoV-2 Omicron variant of concern subvariants BA.1 and BA.2 in Denmark. Nat Commun 2022. [PMID: 36180438 DOI: 10.1101/2022.01.28.22270044] [Citation(s) in RCA: 85] [Impact Index Per Article: 42.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/06/2023] Open
Abstract
SARS coronavirus 2 (SARS-CoV-2) continues to evolve and new variants emerge. Using nationwide Danish data, we estimate the transmission dynamics of SARS-CoV-2 Omicron subvariants BA.1 and BA.2 within households. Among 22,678 primary cases, we identified 17,319 secondary infections among 50,588 household contacts during a 1-7 day follow-up. The secondary attack rate (SAR) was 29% and 39% in households infected with Omicron BA.1 and BA.2, respectively. BA.2 was associated with increased susceptibility of infection for unvaccinated household contacts (Odds Ratio (OR) 1.99; 95%-CI 1.72-2.31), fully vaccinated contacts (OR 2.26; 95%-CI 1.95-2.62) and booster-vaccinated contacts (OR 2.65; 95%-CI 2.29-3.08), compared to BA.1. We also found increased infectiousness from unvaccinated primary cases infected with BA.2 compared to BA.1 (OR 2.47; 95%-CI 2.15-2.84), but not for fully vaccinated (OR 0.66; 95%-CI 0.57-0.78) or booster-vaccinated primary cases (OR 0.69; 95%-CI 0.59-0.82). Omicron BA.2 is inherently more transmissible than BA.1. Its immune-evasive properties also reduce the protective effect of vaccination against infection, but do not increase infectiousness of breakthrough infections from vaccinated individuals.
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Affiliation(s)
- Frederik Plesner Lyngse
- Department of Economics & Center for Economic Behavior and Inequality, University of Copenhagen, Copenhagen, Denmark.
- Danish Ministry of Health, Copenhagen, Denmark.
- Statens Serum Institut, Copenhagen, Denmark.
| | - Carsten Thure Kirkeby
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Matthew Denwood
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Lasse Engbo Christiansen
- Department of Applied Mathematics and Computer Science; Dynamical Systems, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Kåre Mølbak
- Statens Serum Institut, Copenhagen, Denmark
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | | | | | | | | | | | - Troels Lillebaek
- Statens Serum Institut, Copenhagen, Denmark
- Global Health Section, University of Copenhagen, Copenhagen, Denmark
| | | | | | | | | | | | | | - Laust Hvas Mortensen
- Statistics Denmark, Copenhagen, Denmark
- Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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22
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Lyngse FP, Kirkeby CT, Denwood M, Christiansen LE, Mølbak K, Møller CH, Skov RL, Krause TG, Rasmussen M, Sieber RN, Johannesen TB, Lillebaek T, Fonager J, Fomsgaard A, Møller FT, Stegger M, Overvad M, Spiess K, Mortensen LH. Household transmission of SARS-CoV-2 Omicron variant of concern subvariants BA.1 and BA.2 in Denmark. Nat Commun 2022; 13:5760. [PMID: 36180438 PMCID: PMC9524324 DOI: 10.1038/s41467-022-33498-0] [Citation(s) in RCA: 65] [Impact Index Per Article: 32.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 09/16/2022] [Indexed: 12/12/2022] Open
Abstract
SARS coronavirus 2 (SARS-CoV-2) continues to evolve and new variants emerge. Using nationwide Danish data, we estimate the transmission dynamics of SARS-CoV-2 Omicron subvariants BA.1 and BA.2 within households. Among 22,678 primary cases, we identified 17,319 secondary infections among 50,588 household contacts during a 1-7 day follow-up. The secondary attack rate (SAR) was 29% and 39% in households infected with Omicron BA.1 and BA.2, respectively. BA.2 was associated with increased susceptibility of infection for unvaccinated household contacts (Odds Ratio (OR) 1.99; 95%-CI 1.72-2.31), fully vaccinated contacts (OR 2.26; 95%-CI 1.95-2.62) and booster-vaccinated contacts (OR 2.65; 95%-CI 2.29-3.08), compared to BA.1. We also found increased infectiousness from unvaccinated primary cases infected with BA.2 compared to BA.1 (OR 2.47; 95%-CI 2.15-2.84), but not for fully vaccinated (OR 0.66; 95%-CI 0.57-0.78) or booster-vaccinated primary cases (OR 0.69; 95%-CI 0.59-0.82). Omicron BA.2 is inherently more transmissible than BA.1. Its immune-evasive properties also reduce the protective effect of vaccination against infection, but do not increase infectiousness of breakthrough infections from vaccinated individuals.
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Affiliation(s)
- Frederik Plesner Lyngse
- Department of Economics & Center for Economic Behavior and Inequality, University of Copenhagen, Copenhagen, Denmark.
- Danish Ministry of Health, Copenhagen, Denmark.
- Statens Serum Institut, Copenhagen, Denmark.
| | - Carsten Thure Kirkeby
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Matthew Denwood
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Lasse Engbo Christiansen
- Department of Applied Mathematics and Computer Science; Dynamical Systems, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Kåre Mølbak
- Statens Serum Institut, Copenhagen, Denmark
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | | | | | | | | | | | - Troels Lillebaek
- Statens Serum Institut, Copenhagen, Denmark
- Global Health Section, University of Copenhagen, Copenhagen, Denmark
| | | | | | | | | | | | | | - Laust Hvas Mortensen
- Statistics Denmark, Copenhagen, Denmark
- Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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23
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Lyngse FP, Kirkeby CT, Denwood M, Christiansen LE, Mølbak K, Møller CH, Skov RL, Krause TG, Rasmussen M, Sieber RN, Johannesen TB, Lillebaek T, Fonager J, Fomsgaard A, Møller FT, Stegger M, Overvad M, Spiess K, Mortensen LH. Household transmission of SARS-CoV-2 Omicron variant of concern subvariants BA.1 and BA.2 in Denmark. Nat Commun 2022; 13:5760. [PMID: 36180438 DOI: 10.1101/2022.1101.1128.22270044] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 09/16/2022] [Indexed: 05/23/2023] Open
Abstract
SARS coronavirus 2 (SARS-CoV-2) continues to evolve and new variants emerge. Using nationwide Danish data, we estimate the transmission dynamics of SARS-CoV-2 Omicron subvariants BA.1 and BA.2 within households. Among 22,678 primary cases, we identified 17,319 secondary infections among 50,588 household contacts during a 1-7 day follow-up. The secondary attack rate (SAR) was 29% and 39% in households infected with Omicron BA.1 and BA.2, respectively. BA.2 was associated with increased susceptibility of infection for unvaccinated household contacts (Odds Ratio (OR) 1.99; 95%-CI 1.72-2.31), fully vaccinated contacts (OR 2.26; 95%-CI 1.95-2.62) and booster-vaccinated contacts (OR 2.65; 95%-CI 2.29-3.08), compared to BA.1. We also found increased infectiousness from unvaccinated primary cases infected with BA.2 compared to BA.1 (OR 2.47; 95%-CI 2.15-2.84), but not for fully vaccinated (OR 0.66; 95%-CI 0.57-0.78) or booster-vaccinated primary cases (OR 0.69; 95%-CI 0.59-0.82). Omicron BA.2 is inherently more transmissible than BA.1. Its immune-evasive properties also reduce the protective effect of vaccination against infection, but do not increase infectiousness of breakthrough infections from vaccinated individuals.
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Affiliation(s)
- Frederik Plesner Lyngse
- Department of Economics & Center for Economic Behavior and Inequality, University of Copenhagen, Copenhagen, Denmark.
- Danish Ministry of Health, Copenhagen, Denmark.
- Statens Serum Institut, Copenhagen, Denmark.
| | - Carsten Thure Kirkeby
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Matthew Denwood
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Lasse Engbo Christiansen
- Department of Applied Mathematics and Computer Science; Dynamical Systems, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Kåre Mølbak
- Statens Serum Institut, Copenhagen, Denmark
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | | | | | | | | | | | - Troels Lillebaek
- Statens Serum Institut, Copenhagen, Denmark
- Global Health Section, University of Copenhagen, Copenhagen, Denmark
| | | | | | | | | | | | | | - Laust Hvas Mortensen
- Statistics Denmark, Copenhagen, Denmark
- Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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24
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Vaccination Decreases the Infectious Viral Load of Delta Variant SARS-CoV-2 in Asymptomatic Patients. Viruses 2022; 14:v14092071. [PMID: 36146877 PMCID: PMC9503182 DOI: 10.3390/v14092071] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 09/13/2022] [Accepted: 09/15/2022] [Indexed: 02/08/2023] Open
Abstract
The Delta variant of SARS-CoV-2 has caused many breakthrough infections in fully vaccinated individuals. While vaccine status did not generally impact the number of viral RNA genome copies in nasopharyngeal swabs of breakthrough patients, as measured by Ct values, it has been previously found to decrease the infectious viral load in symptomatic patients. We quantified the viral RNA, infectious virus, and anti-spike IgA in nasopharyngeal swabs collected from individuals asymptomatically infected with the Delta variant of SARS-CoV-2. Vaccination decreased the infectious viral load, but not the amount of viral RNA. Furthermore, vaccinees with asymptomatic infections had significantly higher levels of anti-spike IgA in their nasal secretions compared to unvaccinated individuals with asymptomatic infections. Thus, vaccination may decrease the transmission risk of Delta, and perhaps other variants, despite not affecting the amount of viral RNA measured in nasopharyngeal swabs.
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25
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Ticinesi A, Parise A, Cerundolo N, Nouvenne A, Prati B, Chiussi G, Guerra A, Meschi T. Multimorbidity and Frailty Are the Key Characteristics of Patients Hospitalized with COVID-19 Breakthrough Infection during Delta Variant Predominance in Italy: A Retrospective Study. J Clin Med 2022; 11:jcm11185442. [PMID: 36143095 PMCID: PMC9503996 DOI: 10.3390/jcm11185442] [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: 08/31/2022] [Revised: 09/13/2022] [Accepted: 09/15/2022] [Indexed: 11/16/2022] Open
Abstract
The aims of this study were to describe the characteristics of patients hospitalized with delta SARS-CoV-2 breakthrough infection, and to identify factors associated with pneumonia on chest Computed Tomography (CT) and mortality. The clinical records of 229 patients (105 F), with a median age of 81 (interquartile range, IQR, 73−88) years old, hospitalized between June and December 2021 after completion of the primary vaccination cycle, were retrospectively analyzed, retrieving data on comorbidities, Clinical Frailty Scale (CFS), clinical presentation and outcomes. Multimorbidity (91.7% with ≥2 chronic illnesses) and frailty (61.6% with CFS ≥ 5) were highly prevalent. CFS (OR 0.678, 95% CI 0.573−0.803, p < 0.001) and hypertension were independently associated with interstitial pneumonia. Mortality was 25.1% and unrelated with age. PaO2/FiO2 on blood gas analysis performed upon admission (OR 0.986, 95% CI 0.977−0.996, p = 0.005), and CFS (OR 1.723, 95% CI 1.152−2.576, p = 0.008) were independently associated with mortality only in subjects < 85 years old. Conversely, serum PCT levels were associated with mortality in subjects ≥ 85 years old (OR 3.088, 95% CI 1.389−6.8628, p = 0.006). In conclusion, hospitalization for COVID-19 breakthrough infection mainly involved geriatric patients, with those aged ≥ 85 more characterized by decompensation of baseline comorbidities rather than typical COVID-19 respiratory symptoms.
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Affiliation(s)
- Andrea Ticinesi
- Department of Medicine and Surgery, University of Parma, Via Antonio Gramsci 14, 43126 Parma, Italy
- Geriatric-Rehabilitation Department, Azienda Ospedaliero-Universitaria di Parma, Via Antonio Gramsci 14, 43126 Parma, Italy
- Correspondence:
| | - Alberto Parise
- Geriatric-Rehabilitation Department, Azienda Ospedaliero-Universitaria di Parma, Via Antonio Gramsci 14, 43126 Parma, Italy
| | - Nicoletta Cerundolo
- Geriatric-Rehabilitation Department, Azienda Ospedaliero-Universitaria di Parma, Via Antonio Gramsci 14, 43126 Parma, Italy
| | - Antonio Nouvenne
- Geriatric-Rehabilitation Department, Azienda Ospedaliero-Universitaria di Parma, Via Antonio Gramsci 14, 43126 Parma, Italy
| | - Beatrice Prati
- Geriatric-Rehabilitation Department, Azienda Ospedaliero-Universitaria di Parma, Via Antonio Gramsci 14, 43126 Parma, Italy
| | - Giulia Chiussi
- Geriatric-Rehabilitation Department, Azienda Ospedaliero-Universitaria di Parma, Via Antonio Gramsci 14, 43126 Parma, Italy
| | - Angela Guerra
- Department of Medicine and Surgery, University of Parma, Via Antonio Gramsci 14, 43126 Parma, Italy
- Geriatric-Rehabilitation Department, Azienda Ospedaliero-Universitaria di Parma, Via Antonio Gramsci 14, 43126 Parma, Italy
| | - Tiziana Meschi
- Department of Medicine and Surgery, University of Parma, Via Antonio Gramsci 14, 43126 Parma, Italy
- Geriatric-Rehabilitation Department, Azienda Ospedaliero-Universitaria di Parma, Via Antonio Gramsci 14, 43126 Parma, Italy
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26
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Garcia-Knight M, Anglin K, Tassetto M, Lu S, Zhang A, Goldberg SA, Catching A, Davidson MC, Shak JR, Romero M, Pineda-Ramirez J, Diaz-Sanchez R, Rugart P, Donohue K, Massachi J, Sans HM, Djomaleu M, Mathur S, Servellita V, McIlwain D, Gaudiliere B, Chen J, Martinez EO, Tavs JM, Bronstone G, Weiss J, Watson JT, Briggs-Hagen M, Abedi GR, Rutherford GW, Deeks SG, Chiu C, Saydah S, Peluso MJ, Midgley CM, Martin JN, Andino R, Kelly JD. Infectious viral shedding of SARS-CoV-2 Delta following vaccination: A longitudinal cohort study. PLoS Pathog 2022; 18:e1010802. [PMID: 36095030 PMCID: PMC9499220 DOI: 10.1371/journal.ppat.1010802] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 09/22/2022] [Accepted: 08/05/2022] [Indexed: 11/18/2022] Open
Abstract
The impact of vaccination on SARS-CoV-2 infectiousness is not well understood. We compared longitudinal viral shedding dynamics in unvaccinated and fully vaccinated adults. SARS-CoV-2-infected adults were enrolled within 5 days of symptom onset and nasal specimens were self-collected daily for two weeks and intermittently for an additional two weeks. SARS-CoV-2 RNA load and infectious virus were analyzed relative to symptom onset stratified by vaccination status. We tested 1080 nasal specimens from 52 unvaccinated adults enrolled in the pre-Delta period and 32 fully vaccinated adults with predominantly Delta infections. While we observed no differences by vaccination status in maximum RNA levels, maximum infectious titers and the median duration of viral RNA shedding, the rate of decay from the maximum RNA load was faster among vaccinated; maximum infectious titers and maximum RNA levels were highly correlated. Furthermore, amongst participants with infectious virus, median duration of infectious virus detection was reduced from 7.5 days (IQR: 6.0-9.0) in unvaccinated participants to 6 days (IQR: 5.0-8.0) in those vaccinated (P = 0.02). Accordingly, the odds of shedding infectious virus from days 6 to 12 post-onset were lower among vaccinated participants than unvaccinated participants (OR 0.42 95% CI 0.19-0.89). These results indicate that vaccination had reduced the probability of shedding infectious virus after 5 days from symptom onset.
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Affiliation(s)
- Miguel Garcia-Knight
- Department of Microbiology and Immunology, UCSF, California, United States of America
| | - Khamal Anglin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America
- Institute for Global Health Sciences, University of California, San Francisco, California, United States of America
| | - Michel Tassetto
- Department of Microbiology and Immunology, UCSF, California, United States of America
| | - Scott Lu
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America
- Institute for Global Health Sciences, University of California, San Francisco, California, United States of America
| | - Amethyst Zhang
- Department of Microbiology and Immunology, UCSF, California, United States of America
| | - Sarah A. Goldberg
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America
- Institute for Global Health Sciences, University of California, San Francisco, California, United States of America
| | - Adam Catching
- Department of Microbiology and Immunology, UCSF, California, United States of America
| | - Michelle C. Davidson
- School of Medicine, University of California, San Francisco, California, United States of America
| | - Joshua R. Shak
- School of Medicine, University of California, San Francisco, California, United States of America
- San Francisco VA Medical Center, San Francisco, California, United States of America
| | - Mariela Romero
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America
- Institute for Global Health Sciences, University of California, San Francisco, California, United States of America
| | - Jesus Pineda-Ramirez
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America
- Institute for Global Health Sciences, University of California, San Francisco, California, United States of America
| | - Ruth Diaz-Sanchez
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America
- Institute for Global Health Sciences, University of California, San Francisco, California, United States of America
| | - Paulina Rugart
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America
- Institute for Global Health Sciences, University of California, San Francisco, California, United States of America
| | - Kevin Donohue
- School of Medicine, University of California, San Francisco, California, United States of America
| | - Jonathan Massachi
- School of Medicine, University of California, San Francisco, California, United States of America
| | - Hannah M. Sans
- School of Medicine, University of California, San Francisco, California, United States of America
| | - Manuella Djomaleu
- School of Medicine, University of California, San Francisco, California, United States of America
| | - Sujata Mathur
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America
- Institute for Global Health Sciences, University of California, San Francisco, California, United States of America
| | - Venice Servellita
- Division of Infectious Diseases, UCSF, California, United States of America
| | - David McIlwain
- Department of Microbiology and Immunology, Stanford, California, United States of America
| | - Brice Gaudiliere
- Department of Microbiology and Immunology, Stanford, California, United States of America
| | - Jessica Chen
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America
- Institute for Global Health Sciences, University of California, San Francisco, California, United States of America
| | - Enrique O. Martinez
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America
- Institute for Global Health Sciences, University of California, San Francisco, California, United States of America
| | - Jacqueline M. Tavs
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America
- Institute for Global Health Sciences, University of California, San Francisco, California, United States of America
| | - Grace Bronstone
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America
- Institute for Global Health Sciences, University of California, San Francisco, California, United States of America
| | - Jacob Weiss
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America
- Institute for Global Health Sciences, University of California, San Francisco, California, United States of America
| | - John T. Watson
- Respiratory Viruses Branch, Division of Viral Diseases, CDC, Atlanta, Georgia, United States of America
| | - Melissa Briggs-Hagen
- Respiratory Viruses Branch, Division of Viral Diseases, CDC, Atlanta, Georgia, United States of America
| | - Glen R. Abedi
- Respiratory Viruses Branch, Division of Viral Diseases, CDC, Atlanta, Georgia, United States of America
| | - George W. Rutherford
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America
- Institute for Global Health Sciences, University of California, San Francisco, California, United States of America
| | - Steven G. Deeks
- Division of HIV, Infectious Disease, and Global Medicine, UCSF, California, United States of America
| | - Charles Chiu
- Division of Infectious Diseases, UCSF, California, United States of America
| | - Sharon Saydah
- Respiratory Viruses Branch, Division of Viral Diseases, CDC, Atlanta, Georgia, United States of America
| | - Michael J. Peluso
- Division of HIV, Infectious Disease, and Global Medicine, UCSF, California, United States of America
| | - Claire M. Midgley
- Respiratory Viruses Branch, Division of Viral Diseases, CDC, Atlanta, Georgia, United States of America
| | - Jeffrey N. Martin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America
| | - Raul Andino
- Department of Microbiology and Immunology, UCSF, California, United States of America
| | - J. Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America
- Institute for Global Health Sciences, University of California, San Francisco, California, United States of America
- San Francisco VA Medical Center, San Francisco, California, United States of America
- F.I. Proctor Foundation, University of California, San Francisco, California, United States of America
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27
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Mellis AM, Meece JK, Halasa NB, Chappell JD, McLean HQ, Grijalva CG, Hanson KE, Zhu Y, Kim A, Deyoe J, Ivacic LC, Reed C, Talbot HK, Rolfes MA. SARS-CoV-2 Virus Dynamics in Recently Infected People-Data From a Household Transmission Study. J Infect Dis 2022; 226:1699-1703. [PMID: 35512334 PMCID: PMC9129201 DOI: 10.1093/infdis/jiac180] [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: 03/01/2022] [Accepted: 04/29/2022] [Indexed: 12/16/2022] Open
Abstract
We used daily real-time reverse-transcription polymerase chain reaction (RT-PCR) results from 67 cases of SARS-CoV-2 infection in a household transmission study, conducted April 2020-May 2021, to examine the trajectory of cycle threshold (Ct) values, an inverse correlate of viral RNA concentration. Ct values varied across RT-PCR platforms and by participant age. Specimens collected from children and adolescents had higher Ct values and adults aged ≥50 years showed lower Ct values than adults aged 18-49 years. Ct values were lower on days when participants reported experiencing symptoms, with the lowest Ct value occurring 2-6 days after symptom onset.
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Affiliation(s)
- Alexandra M. Mellis
- Centers for Disease Control and Prevention, Atlanta, Georgia, United States,Correspondence: Alexandra M. Mellis, Influenza Division, Centers for Disease Control and Prevention, 1600 Clifton Rd MS A-32, Atlanta, GA 30329, United States; T: (404) 498-4639; fax (404) 639-3866; E:
| | - Jennifer K. Meece
- Marshfield Clinic Research Institute, Marshfield, Wisconsin, United States
| | - Natasha B. Halasa
- Vanderbilt University Medical Center, Nashville, Tennessee, United States
| | - James D. Chappell
- Vanderbilt University Medical Center, Nashville, Tennessee, United States
| | - Huong Q. McLean
- Marshfield Clinic Research Institute, Marshfield, Wisconsin, United States
| | - Carlos G. Grijalva
- Vanderbilt University Medical Center, Nashville, Tennessee, United States
| | - Kayla E. Hanson
- Marshfield Clinic Research Institute, Marshfield, Wisconsin, United States
| | - Yuwei Zhu
- Vanderbilt University Medical Center, Nashville, Tennessee, United States
| | - Ahra Kim
- Vanderbilt University Medical Center, Nashville, Tennessee, United States
| | - Jessica Deyoe
- Centers for Disease Control and Prevention, Atlanta, Georgia, United States
| | - Lynn C. Ivacic
- Marshfield Clinic Research Institute, Marshfield, Wisconsin, United States
| | - Carrie Reed
- Centers for Disease Control and Prevention, Atlanta, Georgia, United States
| | - H. Keipp Talbot
- Vanderbilt University Medical Center, Nashville, Tennessee, United States
| | - Melissa A. Rolfes
- Centers for Disease Control and Prevention, Atlanta, Georgia, United States
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Fajardo Á, Perbolianachis P, Ferreiro I, Moreno P, Moratorio G. Molecular accuracy vs antigenic speed: SARS-CoV-2 testing strategies. Curr Opin Pharmacol 2022; 62:152-158. [PMID: 35042168 PMCID: PMC8687762 DOI: 10.1016/j.coph.2021.12.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 12/06/2021] [Accepted: 12/13/2021] [Indexed: 01/08/2023]
Abstract
The pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has hit every corner of the world faster than any infectious disease ever known. In this context, rapid and accurate testing of positive cases are essential to follow the test-trace-isolate strategy (TETRIS), which has proven to be a key approach to constrain viral spread. Here, we discuss how to interpret and combine molecular or/and antigen-based detection methods for SARS-CoV-2 as well as when they should be used. Their application can be cleverly designed as an algorithm to prevent viral dissemination according to distinct epidemiological contexts within surveillance programs.
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Affiliation(s)
- Álvaro Fajardo
- Laboratorio de Evolución Experimental de Virus, Institut Pasteur, Montevideo, Uruguay; Laboratorio de Virología Molecular, Centro de Investigaciones Nucleares, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay
| | - Paula Perbolianachis
- Laboratorio de Evolución Experimental de Virus, Institut Pasteur, Montevideo, Uruguay; Laboratorio de Virología Molecular, Centro de Investigaciones Nucleares, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay
| | - Irene Ferreiro
- Laboratorio de Evolución Experimental de Virus, Institut Pasteur, Montevideo, Uruguay; Laboratorio de Virología Molecular, Centro de Investigaciones Nucleares, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay
| | - Pilar Moreno
- Laboratorio de Evolución Experimental de Virus, Institut Pasteur, Montevideo, Uruguay; Laboratorio de Virología Molecular, Centro de Investigaciones Nucleares, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay.
| | - Gonzalo Moratorio
- Laboratorio de Evolución Experimental de Virus, Institut Pasteur, Montevideo, Uruguay; Laboratorio de Virología Molecular, Centro de Investigaciones Nucleares, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay.
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