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SARS-CoV-2 infection-induced immunity reduces rates of reinfection and hospitalization caused by the Delta or Omicron variants.
de La Vega, Marc-Antoine; Polychronopoulou, Efstathia; Xiii, Ara; Ding, Zhe; Chen, Tong; Liu, Qixing; Lan, Jiaming; Nepveu-Traversy, Marie-Edith; Fausther-Bovendo, Hugues; Zaidan, Mohammed F; Wong, Gary; Sharma, Gulshan; Kobinger, Gary P.
  • de La Vega MA; Galveston National Laboratory, Department of Microbiology and Immunology, Institute for Human Infections and Immunity, University of Texas Medical Branch, Galveston, TX, USA.
  • Polychronopoulou E; Office of Biostatistics, University of Texas Medical Branch, Galveston, TX, USA.
  • Xiii A; Galveston National Laboratory, Department of Microbiology and Immunology, Institute for Human Infections and Immunity, University of Texas Medical Branch, Galveston, TX, USA.
  • Ding Z; Viral Hemorrhagic Fevers Research Unit, CAS Key Laboratory of Molecular Virology and Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, People's Republic of China.
  • Chen T; University of Chinese Academy of Sciences, Beijing, People's Republic of China.
  • Liu Q; Viral Hemorrhagic Fevers Research Unit, CAS Key Laboratory of Molecular Virology and Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, People's Republic of China.
  • Lan J; University of Chinese Academy of Sciences, Beijing, People's Republic of China.
  • Nepveu-Traversy ME; Viral Hemorrhagic Fevers Research Unit, CAS Key Laboratory of Molecular Virology and Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, People's Republic of China.
  • Fausther-Bovendo H; University of Chinese Academy of Sciences, Beijing, People's Republic of China.
  • Zaidan MF; Viral Hemorrhagic Fevers Research Unit, CAS Key Laboratory of Molecular Virology and Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, People's Republic of China.
  • Wong G; Global Urgent and Advanced Research and Development (GuardRX), Batiscan, Canada.
  • Sharma G; Global Urgent and Advanced Research and Development (GuardRX), Batiscan, Canada.
  • Kobinger GP; Department of Internal Medicine, Division of Pulmonary, Critical Care, & Sleep Medicine, University of Texas Medical Branch, Galveston, TX, USA.
Emerg Microbes Infect ; 12(1): e2169198, 2023 Dec.
Article in English | MEDLINE | ID: covidwho-2187801
ABSTRACT
During a pandemic, effective vaccines are typically in short supply, particularly at onset intervals when the wave is accelerating. We conducted an observational, retrospective analysis of aggregated data from all patients who tested positive for SARS-CoV-2 during the waves caused by the Delta and Omicron variants, stratified based on their known previous infection and vaccination status, throughout the University of Texas Medical Branch (UTMB) network. Next, the immunity statuses within each medical parameter were compared to naïve individuals for the effective decrease of occurrence. Lastly, we conducted studies using mice and pre-pandemic human samples for IgG responses to viral nucleocapsid compared to spike protein toward showing a functional component supportive of the medical data results in relation to the immunity types. During the Delta and Omicron waves, both infection-induced and hybrid immunities were associated with a trend of equal or greater decrease of occurrence than vaccine-induced immunity in hospitalizations, intensive care unit admissions, and deaths in comparison to those without pre-existing immunity, with hybrid immunity often trending with the greatest decrease. Compared to individuals without pre-existing immunity, those vaccinated against SARS-CoV-2 had a significantly reduced incidence of COVID-19, as well as all subsequent medical parameters. Though vaccination best reduces health risks associated with initial infection toward acquiring immunity, our findings suggest infection-induced immunity is as or more effective than vaccination in reducing the severity of reinfection from the Delta or Omicron variants, which should inform public health response at pandemic onset, particularly when triaging towards the allotment of in-demand vaccinations.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Topics: Vaccines / Variants Limits: Animals / Humans Language: English Journal: Emerg Microbes Infect Year: 2023 Document Type: Article Affiliation country: 22221751.2023.2169198

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Topics: Vaccines / Variants Limits: Animals / Humans Language: English Journal: Emerg Microbes Infect Year: 2023 Document Type: Article Affiliation country: 22221751.2023.2169198