Publications by authors named "Sanjana R Sen"

A previous report demonstrated the strong association between the presence of antibodies binding to an epitope region from SARS-CoV-2 nucleocapsid, termed Ep9, and COVID-19 disease severity. Patients with anti-Ep9 antibodies (Abs) had hallmarks of antigenic interference (AIN), including early IgG upregulation and cytokine-associated injury. Thus, the immunological memory of a prior infection was hypothesized to drive formation of suboptimal anti-Ep9 Abs in severe COVID-19 infections.

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Unlocking the potential of personalized medicine in point-of-care settings requires a new generation of biomarker and proteomic assays. Ideally, assays could inexpensively perform hundreds of quantitative protein measurements in parallel at the bedsides of patients. This goal greatly exceeds current capabilities.

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Unlabelled: A previous report demonstrated the strong association between the presence of antibodies binding to an epitope region from SARS-CoV-2 nucleocapsid, termed Ep9, and COVID-19 disease severity. Patients with anti-Ep9 antibodies (Abs) had hallmarks of antigenic imprinting (AIM), including early IgG upregulation and cytokine-associated injury. Thus, the immunological memory of a previous infection was hypothesized to drive formation of suboptimal anti-Ep9 Abs in severe COVID-19 infections.

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Article Synopsis
  • Researchers developed effective methods to predict COVID-19 outcomes by analyzing patient antibodies and identifying a specific epitope (Ep9) linked to severe disease cases.* -
  • Anti-Ep9 antibodies can be detected quickly after symptom onset and correlate with serious health issues, allowing for a new risk factor score that considers age and comorbidities.* -
  • The study suggests that identifying patients with these antibodies and higher risk scores can help predict severe disease outcomes with high accuracy, aiding in early intervention and treatment.*
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