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1.
Cell ; 185(14): 2434-2451.e17, 2022 07 07.
Article in English | MEDLINE | ID: covidwho-1866952

ABSTRACT

Multiple COVID-19 vaccines, representing diverse vaccine platforms, successfully protect against symptomatic COVID-19 cases and deaths. Head-to-head comparisons of T cell, B cell, and antibody responses to diverse vaccines in humans are likely to be informative for understanding protective immunity against COVID-19, with particular interest in immune memory. Here, SARS-CoV-2-spike-specific immune responses to Moderna mRNA-1273, Pfizer/BioNTech BNT162b2, Janssen Ad26.COV2.S, and Novavax NVX-CoV2373 were examined longitudinally for 6 months 100% of individuals made memory CD4+ T cells, with cTfh and CD4-CTL highly represented after mRNA or NVX-CoV2373 vaccination. mRNA vaccines and Ad26.COV2.S induced comparable CD8+ T cell frequencies, though only detectable in 60-67% of subjects at 6 months. A differentiating feature of Ad26.COV2.S immunization was a high frequency of CXCR3+ memory B cells. mRNA vaccinees had substantial declines in antibodies, while memory T and B cells were comparatively stable. These results may also be relevant for insights against other pathogens.


Subject(s)
COVID-19 Vaccines , COVID-19 , Ad26COVS1 , Antibodies, Viral , BNT162 Vaccine , COVID-19/prevention & control , Humans , Immunity, Humoral , Immunologic Memory , SARS-CoV-2
2.
Cell Host Microbe ; 30(3): 388-399.e3, 2022 03 09.
Article in English | MEDLINE | ID: covidwho-1670319

ABSTRACT

Both SARS-CoV-2 infections and COVID-19 vaccines elicit memory T cell responses. Here, we report the development of 2 pools of experimentally defined SARS-CoV-2 T cell epitopes that, in combination with spike, were used to discriminate 4 groups of subjects with different SARS-CoV-2 infection and COVID-19 vaccine status. The overall T cell-based classification accuracy was 89.2% and 88.5% in the experimental and validation cohorts. This scheme was applicable to different mRNA vaccines and different lengths of time post infection/post vaccination and yielded increased accuracy when compared to serological readouts. T cell responses from breakthrough infections were also studied and effectively segregated from vaccine responses, with a combined performance of 86.6% across all 239 subjects from the 5 groups. We anticipate that a T cell-based immunodiagnostic scheme to classify subjects based on their vaccination and natural infection history will be an important tool for longitudinal monitoring of vaccinations and for establishing SARS-CoV-2 correlates of protection.


Subject(s)
COVID-19 Vaccines , COVID-19 , Antibodies, Viral , COVID-19/diagnosis , Epitopes, T-Lymphocyte , Humans , SARS-CoV-2 , Spike Glycoprotein, Coronavirus , Vaccination
5.
Biotechnol Bioeng ; 118(8): 3029-3036, 2021 08.
Article in English | MEDLINE | ID: covidwho-1219688

ABSTRACT

Airborne spread of coronavirus disease 2019 (COVID-19) by infectious aerosol is all but certain. However, easily implemented approaches to assess the actual environmental threat are currently unavailable. We present a simple approach with the potential to rapidly provide information about the prevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the atmosphere at any location. We used a portable dehumidifier as a readily available and affordable tool to collect airborne virus in the condensate. The dehumidifiers were deployed in selected locations of a hospital ward with patients reporting flu-like symptoms which could possibly be due to COVID-19 over three separate periods of one week. Samples were analyzed frequently for both virus envelope protein and SARS-CoV-2 RNA. In several samples across separate deployments, condensate from dehumidifiers tested positive for the presence of SARS-CoV-2 antigens as confirmed using two independent assays. RNA was detected, but not attributable to SARS-CoV-2. We verified the ability of the dehumidifier to rapidly collect aerosolized sodium chloride. Our results point to a facile pool testing method to sample air in any location in the world and assess the presence and concentration of an infectious agent to obtain quantitative risk assessment of exposure, designate zones as "hot spots" and minimize the need for individual testing which may often be time consuming, expensive, and laborious.


Subject(s)
COVID-19/genetics , RNA, Viral , SARS-CoV-2 , Specimen Handling , COVID-19/epidemiology , COVID-19/transmission , Humans , RNA, Viral/chemistry , RNA, Viral/genetics , SARS-CoV-2/chemistry , SARS-CoV-2/genetics
9.
Health Secur ; 18(3): 237-240, 2020.
Article in English | MEDLINE | ID: covidwho-101945

ABSTRACT

The COVID-19 pandemic has resulted in a surge of patients that exceeds available human and physical resources in many settings, triggering the implementation of crisis standards of care. High-quality respiratory protection is essential to reduce exposure among healthcare workers, yet dire shortages of personal protective equipment in the United States threaten the health and safety of this essential workforce. In the context of rapidly changing conditions and incomplete data, this article outlines 3 important strategies to improve healthcare workers' respiratory protection. At a minimum, healthcare workers delivering care to patients with confirmed or suspected COVID-19 should wear N95 respirators and full-face shields. Several mechanisms exist to boost and protect the supply of N95 respirators, including rigorous decontamination protocols, invoking the Defense Production Act, expanded use of reusable elastomeric respirators, and repurposing industrial N95 respirators. Finally, homemade facial coverings do not protect healthcare workers and should be avoided. These strategies, coupled with longer-term strategies of investments in protective equipment research, infrastructure, and data systems, provide a framework to protect healthcare workers immediately and enhance preparedness efforts for future pandemics.


Subject(s)
Coronavirus Infections/prevention & control , Health Personnel , Infectious Disease Transmission, Patient-to-Professional/prevention & control , Occupational Exposure/prevention & control , Pandemics/prevention & control , Personal Protective Equipment/statistics & numerical data , Pneumonia, Viral/prevention & control , COVID-19 , Communicable Disease Control/organization & administration , Coronavirus Infections/epidemiology , Delivery of Health Care/organization & administration , Female , Humans , Male , Occupational Health , Pandemics/statistics & numerical data , Patient Safety , Pneumonia, Viral/epidemiology , United States
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