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An automated approach to determine antibody endpoint titers for COVID-19 by an enzyme-linked immunosorbent assay.
Ho, A D; Verkerke, H; Allen, J W; Saeedi, B J; Boyer, D; Owens, J; Shin, S; Horwath, M; Patel, K; Paul, A; Wu, S-C; Chonat, S; Zerra, P; Lough, C; Roback, J D; Neish, A; Josephson, C D; Arthur, C M; Stowell, S R.
  • Ho AD; Center for Transfusion Medicine and Cellular Therapies, and Department of Pathology and Laboratory Medicine, Emory University School of Medicine , Atlanta, GA , and Joint Program in Transfusion Medicine, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School , Boston, MA.
  • Verkerke H; Center for Transfusion Medicine and Cellular Therapies, and Department of Pathology and Laboratory Medicine, Emory University School of Medicine , Atlanta, GA , and Joint Program in Transfusion Medicine, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School , Boston, MA.
  • Allen JW; Center for Transfusion Medicine and Cellular Therapies, and Department of Pathology and Laboratory Medicine, Emory University School of Medicine , Atlanta, GA , and Joint Program in Transfusion Medicine, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School , Boston, MA.
  • Saeedi BJ; Department of Pathology and Laboratory Medicine, Emory University School of Medicine , Atlanta, GA.
  • Boyer D; Department of Pathology and Laboratory Medicine, Emory University School of Medicine , Atlanta, GA.
  • Owens J; Department of Pathology and Laboratory Medicine, Emory University School of Medicine , Atlanta, GA.
  • Shin S; Center for Transfusion Medicine and Cellular Therapies, and Department of Pathology and Laboratory Medicine, Emory University School of Medicine , Atlanta, GA.
  • Horwath M; Department of Pathology and Laboratory Medicine, Emory University School of Medicine , Atlanta, GA.
  • Patel K; Joint Program in Transfusion Medicine, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School , Boston, MA.
  • Paul A; Joint Program in Transfusion Medicine, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School , Boston, MA.
  • Wu SC; Joint Program in Transfusion Medicine, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School , Boston, MA.
  • Chonat S; Department of Pediatrics, Emory University School of Medicine , Atlanta, GA.
  • Zerra P; Center for Transfusion Medicine and Cellular Therapies, and Department of Pathology and Laboratory Medicine, Emory University School of Medicine , Atlanta, GA.
  • Lough C; Lifesouth Blood Donation Services , Gainesville, FL.
  • Roback JD; Center for Transfusion Medicine and Cellular Therapies, and Department of Pathology and Laboratory Medicine, Emory University School of Medicine , Atlanta, GA.
  • Neish A; Department of Pathology and Laboratory Medicine, Emory University School of Medicine , Atlanta, GA.
  • Josephson CD; Center for Transfusion Medicine and Cellular Therapies, and Department of Pathology and Laboratory Medicine, Emory University School of Medicine , Atlanta, GA.
  • Arthur CM; Center for Transfusion Medicine and Cellular Therapies, and Department of Pathology and Laboratory Medicine, Emory University School of Medicine , Atlanta, GA.
  • Stowell SR; Center for Transfusion Medicine and Cellular Therapies, and Department of Pathology and Laboratory Medicine, Emory University School of Medicine , 201 Dowman Drive, Atlanta, GA 30322 , and Joint Program in Transfusion Medicine, Department of Pathology, Brigham and Women's Hospital, Harvard Medical S
Immunohematology ; 37(1): 33-43, 2021 Mar.
Article in English | MEDLINE | ID: covidwho-1219353
ABSTRACT
While a variety of therapeutic options continue to emerge for COVID-19 treatment, convalescent plasma (CP) has been used as a possible treatment option early in the pandemic. One of the most significant challenges with CP therapy, however, both when defining its efficacy and implementing its approach clinically, is accurately and efficiently characterizing an otherwise heterogenous therapeutic treatment. Given current limitations, our goal is to leverage a SARS antibody testing platform with a newly developed automated endpoint titer analysis program to rapidly define SARS-CoV-2 antibody levels in CP donors and hospitalized patients. A newly developed antibody detection platform was used to perform a serial dilution enzyme-linked immunosorbent assay (ELISA) for immunoglobulin (Ig)G, IgM, and IgA SARS-CoV-2 antibodies. Data were then analyzed using commercially available software, GraphPad Prism, or a newly developed program developed in Python called TiterScape, to analyze endpoint titers. Endpoint titer calculations and analysis times were then compared between the two analysis approaches. Serial dilution analysis of SARS-CoV-2 antibody levels revealed a high level of heterogeneity between individuals. Commercial platform analysis required significant time for manual data input and extrapolated endpoint titer values when the last serial dilution was above the endpoint cutoff, occasionally producing erroneously high results. By contrast, TiterScape processed 1008 samples for endpoint titer results in roughly 14 minutes compared with the 8 hours required for the commercial software program analysis. Equally important, results generated by TiterScape and Prism were highly similar, with differences averaging 1.26 ± 0.2 percent (mean ± SD). The pandemic has created unprecedented challenges when seeking to accurately test large numbers of individuals for SARS-CoV-2 antibody levels with a rapid turnaround time. ELISA platforms capable of serial dilution analysis coupled with a highly flexible software interface may provide a useful tool when seeking to define endpoint titers in a high-throughput manner. Immunohematology 2021;3733-43.While a variety of therapeutic options continue to emerge for COVID-19 treatment, convalescent plasma (CP) has been used as a possible treatment option early in the pandemic. One of the most significant challenges with CP therapy, however, both when defining its efficacy and implementing its approach clinically, is accurately and efficiently characterizing an otherwise heterogenous therapeutic treatment. Given current limitations, our goal is to leverage a SARS antibody testing platform with a newly developed automated endpoint titer analysis program to rapidly define SARS-CoV-2 antibody levels in CP donors and hospitalized patients. A newly developed antibody detection platform was used to perform a serial dilution enzyme-linked immunosorbent assay (ELISA) for immunoglobulin (Ig)G, IgM, and IgA SARS-CoV-2 antibodies. Data were then analyzed using commercially available software, GraphPad Prism, or a newly developed program developed in Python called TiterScape, to analyze endpoint titers. Endpoint titer calculations and analysis times were then compared between the two analysis approaches. Serial dilution analysis of SARS-CoV-2 antibody levels revealed a high level of heterogeneity between individuals. Commercial platform analysis required significant time for manual data input and extrapolated endpoint titer values when the last serial dilution was above the endpoint cutoff, occasionally producing erroneously high results. By contrast, TiterScape processed 1008 samples for endpoint titer results in roughly 14 minutes compared with the 8 hours required for the commercial software program analysis. Equally important, results generated by TiterScape and Prism were highly similar, with differences averaging 1.26 ± 0.2 percent (mean ± SD). The pandemic has created unprecedented challenges when seeking to accurately test large numbers of individuals for SARS-CoV-2 antibody levels with a rapid turnaround time. ELISA platforms capable of serial dilution analysis coupled with a highly flexible software interface may provide a useful tool when seeking to define endpoint titers in a high-throughput manner. Immunohematology 2021;3733­43.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / COVID-19 Drug Treatment Type of study: Prognostic study Limits: Humans Language: English Journal: Immunohematology Journal subject: Allergy and Immunology / Hematology Year: 2021 Document Type: Article Affiliation country: Immunohematology-2021-007

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / COVID-19 Drug Treatment Type of study: Prognostic study Limits: Humans Language: English Journal: Immunohematology Journal subject: Allergy and Immunology / Hematology Year: 2021 Document Type: Article Affiliation country: Immunohematology-2021-007