Literature DB >> 34996045

COVID-19 Serology Control Panel Using the Dried-Tube Specimen Method.

William J Windsor1, Vijaya Knight2, Patricia A Merkel2, Molly M Lamb1, Heidi R Tucker3, Kyle Carson3, Kelly M Howard3, Jennifer L Yates3,4, Mario L Santiago5, Mary K McCarthy5, Thomas E Morrison5, Ross M Kedl5, Ashley Frazer-Abel5, Kejun Guo5, Gillian Andersen5, Leah Huey2, Bradley S Barrett5, Jessica M Colón-Franco6, William T Lee3,4, May C Chu1.   

Abstract

The dried-tube specimen (DTS) procedure was used to develop the COVID-19 serology control panel (CSCP). The DTS offers the benefit of shipping materials without a cold chain, allowing for greater access without deterioration of material integrity. Samples in the panel were sourced from COVID-19 convalescent persons from March to May 2020. The immunoglobulin subtypes (total Ig, IgM, and IgG) and their respective reactivity to severe acute respiratory syndrome coronavirus 2 nucleocapsid, spike, and receptor-binding domain antigens of the samples were delineated and compared with the WHO International Standard to elucidate the exact binding antibody units of each CSCP sample and ensure the CSCP provides adequate reactivity for different types of serological test platforms. We distribute the CSCP as a kit with five coded tubes to laboratories around the world to be used to compare test kits for external quality assurance, for harmonizing laboratory testing, and for use as training materials for laboratory workers.

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Year:  2022        PMID: 34996045      PMCID: PMC8832945          DOI: 10.4269/ajtmh.21-1036

Source DB:  PubMed          Journal:  Am J Trop Med Hyg        ISSN: 0002-9637            Impact factor:   2.345


A standardized panel composed of well-characterized plasma/serum specimens can bridge serosurveillance studies, compare test kits, serve as external quality assurance, harmonize tests that measure vaccine efficacy, be used as a training tool for laboratory workers, and be used for post-market monitoring. The standardized panel can be shared by a global network to link studies and enable inclusive analysis for a variety of use cases, as mentioned, and, more importantly, a standardized control panel can provide long-term quality performance monitoring as reagents and production batches change. We have established a COVID-19 serology control panel (CSCP) using the dried-tube specimen (DTS) protocol so that the panel can be shipped globally without a cold chain, thus allowing greater access to materials in all resource settings while maintaining sample integrity. Identifying the appropriate test kit for a use case has been made more complicated with more than 120 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) serological test kits listed by the U.S. Food and Drug Administration under Emergency Use Authorized and/or registered with the Conformitè Européenne-marked European market. The SeroTracker list shows there are as many research use-only tests being used in clinics and research laboratories. With this unprecedented number of serological testing platforms and algorithms, it is imperative that we prioritize the quality calibration of test kits and platforms to ensure results are meaningful and can be compared across the hundreds of seroprevalence studies being undertaken. Calibration is especially important for testing in low-resource settings, where immunological testing is more likely to be used than other diagnostic test formats. Nine highly reactive COVID-19 convalescent plasma samples collected between March and May 2020 by the Vitalant Research Institute (San Francisco, CA) were selected. The selected samples had a neutralization reactivity range of 1:640 to > 1:10,240 using a SARS-CoV-2 spike (S) reporter viral particle neutralization assay, and reactivity was confirmed using the Ortho VITROS Anti-SARS-CoV-2 Total immunoglobulin assay (S subunit protein; Ortho-Clinical Diagnostics, Inc. Rochester, NY) (Table 1). These nine COVID-19 convalescent plasma samples and one pre-2019 human plasma sample were certified to be blood borne and pathogen free by the Vitalant Research Institute. This study was conducted under a University of Colorado–Denver (CU) Human Subjects Research Waiver (protocol 20-0711).
Table 1

Test platforms used to characterize the COVID-19 serology control panel samples

AntigensAntibody typeFormatTest outputSourceDetails
Individual donor plasma characterization
 S1Total IgChemiluminescent immunoassayQualitativeOrtho Vitros Cov2TEUA
Total IgPseudo-type VSV reporter neutralizationQuantitativeVRIRUO; results reported as NT50
Individual and pooled donor plasma characterization
 S1Total IgPseudo-type HIV reporter neutralizationQuantitativeCU AnschutzRUO; results reports as NT
 RBD and NIgGELISAQualitativeCU AnschutzRUO
IgGMultiplex microsphere immunoassayQuantitativeCU AnschutzRUO
 NIgM and IgGELISAQualitativeEpitopeEUA
 VirusTotal IgFocus reduction neutralization titerQuantitativeCU AnschutzVero E6 cells cultured with SARS-CoV-2 USA-WA1/2020 strain

CU = University of Colorado; EUA = U.S. Food and Drug Administration Emergency Use Authorization; N = nucleocapsid proteins; NT = neutralization test; NT50 = neutralization test reported as 50% of reduction of virus replication; RBD = receptor binding protein; RUO = research use only; S1 = severe acute respiratory syndrome coronavirus 2 spike 1; SARS-CoV-2 = severe acute respiratory syndrome coronavirus 2; VRI = Vitalant Research Institute; VSV = vesicular stomatitis virus.

Test platforms used to characterize the COVID-19 serology control panel samples CU = University of Colorado; EUA = U.S. Food and Drug Administration Emergency Use Authorization; N = nucleocapsid proteins; NT = neutralization test; NT50 = neutralization test reported as 50% of reduction of virus replication; RBD = receptor binding protein; RUO = research use only; S1 = severe acute respiratory syndrome coronavirus 2 spike 1; SARS-CoV-2 = severe acute respiratory syndrome coronavirus 2; VRI = Vitalant Research Institute; VSV = vesicular stomatitis virus. The samples were evaluated by CU Laboratories to determine each sample’s reactivity to the S, nucleocapsid (N), and receptor-binding domain (RBD) with five SARS-CoV-2 serology methods (Table 1).– We pooled three samples that represented the highest reactivity to S, N, and RBD in a 1:1:1 ratio. The undiluted pool served as the high-reactive (HR) sample and the pre-2019 plasma served as the non-reactive (NR) sample in all assays. The low-reactive (LR) pool was prepared as a 1:4 dilution of the HR using the NR sample as the diluent. We included duplicate LR samples in the CSCP to provide insights into serology assay limits of detection. Then, the three samples—HR, LR, and NR—were evaluated by CU Laboratories pre- and post-drying. According to the DTS protocol, we mixed in 0.1% green food dye for better visualization. We aliquoted 20 μL in a 2-mL Sarstedt vial (NC9180825; Fisher Scientific, USA) and then left the open tube to dry overnight in a high-efficiency particulate air-filtered laminar flow hood. The tubes were capped and stored at 4°C during the CSCP kit assembly process, and stored at –20°C afterward to preserve the integrity of the samples for longer term storage. To rehydrate, a DTS vial was rehydrated with 200 μL phosphate-buffered saline (PBS) with 0.2% Tween (PBS diluent), then was allowed to solubilize overnight at 4°C before use. The long-term temperature stability of the dried materials was determined by storing CSCP kits continuously at –20°C, 4°C, 25°C, 37°C, and 45°C for 1 week, 2 weeks, 1 month, 3 months, 6 months, and 1 year. The optimal stability of the CSCP for up to 1 year is between –20°C and 25°C, with loss of reactivity after 2 months at 37°C and non-reactivity at 45°C (data not shown). The CSCP was further characterized and measured against the WHO International Standard (WHO IS). We used the microbead immunoassay for this characterization, and analyzed results by parallel line assay (PLA). The immunoassay reagent preparation protocol and the derivation of the PLA analysis are provided in the Supplemental Materials. PLA is the standard approach used to convert any analyte to binding antibody units (BAUs) against a known concentration of an analyte standard, represented here as the WHO IS N, S, and RBD-specific Ig. IgM and IgG were chosen as the analytes to convert HR and LR samples to BAUs. The WHO IS was set to 1,000 BAU/mL for each antigen–isotype combination, and the CSCP DTS HR and LR samples were considered unknowns. A robust PLA is dependent on the linearity of the dilution curves for both the standard and unknown. Therefore, the dilution curves of all analytes were linearized using a logit transformation on the raw data for both the CSCP DTS standard and WHO IS, measured as median fluorescence intensity. The logit transformation resulted in six to nine serial dilutions within the parallel linear range for comparison of all analytes except N-specific IgM (Figure 1). The CIs for these calculations were less than 25% (Table 2). However, we were unable to predict a potency for N-specific IgM because of a large difference between the slopes of the WHO IS and CSCP CTS standard for this analyte. Although detectable, the levels of N-specific IgM were extremely low in both the WHO IS and CSCP HR and LR samples, which is the likely cause for the low predictive value of this analyte.,
Figure 1.

Parallel line assay results of COVID-19 serology control panels (CSCPs) compared with the WHO International Standard (WHO IS). Parallel lines obtained by plotting logit-transformed median fluorescence intensity (MFI) for the dilution ranges used to calculate binding antibody units per milliliter of total antibody (Ig), IgG, and IgM against the monomeric full-length spike, nucleocapsid, and receptor-binding domain of severe acute respiratory syndrome coronavirus 2 in the high-reactive and low-reactive CSCP reconstituted dried-tube specimen. The WHO severe acute respiratory syndrome coronavirus 2 serology international standard is in red and the CSCP specimen is in green. This figure appears in color at www.ajtmh.org.

Table 2

Potency of COVID-19 serology control panel standards in international binding antibody units

High-reactive sampleLow-reactive sample 1Low-reactive sample 2
Ig
Nucleocapsid proteins212.1 (185.3–241.9)*49.7 (38.7–62.5)58.4 (47.7–70.5)
Spike215.8 (190.0–244.3)50.5 (43.2–58.6)58.0 (49.9–67.1)
Receptor-binding domain295.1 (260.3–333.6)72.1 (62.0–83.3)81.3 (70.2–93.6)
IgM
Nucleocapsid proteinsn/an/an/a
Spike231.8 (206.9–259.2)54.7 (47.6–62.5)64.4 (56.2–73.4)
Receptor-binding domain145.8 (129.5–163.6)35.3 (29.7–41.6)39.5 (33.5–46.2)
IgG
Nucleocapsid proteins257.7 (222.6–297.0)55.8 (43.4–70.0)55.4 (44.4–68.1)
Spike246.1 (215.9–279.7)57.0 (48.8–66.2)57.6 (49.2–67.1)
Receptor-binding domain408.3 (364.0–457.3)101.0 (88.4–114.8)97.3 (85.1–110.8)

n/a = not applicable.

Binding antibody units based on WHO severe acute respiratory syndrome coronavirus 2 serology international standard as determined by parallel line analysis ± CI (%).

Parallel line assay results of COVID-19 serology control panels (CSCPs) compared with the WHO International Standard (WHO IS). Parallel lines obtained by plotting logit-transformed median fluorescence intensity (MFI) for the dilution ranges used to calculate binding antibody units per milliliter of total antibody (Ig), IgG, and IgM against the monomeric full-length spike, nucleocapsid, and receptor-binding domain of severe acute respiratory syndrome coronavirus 2 in the high-reactive and low-reactive CSCP reconstituted dried-tube specimen. The WHO severe acute respiratory syndrome coronavirus 2 serology international standard is in red and the CSCP specimen is in green. This figure appears in color at www.ajtmh.org. Potency of COVID-19 serology control panel standards in international binding antibody units n/a = not applicable. Binding antibody units based on WHO severe acute respiratory syndrome coronavirus 2 serology international standard as determined by parallel line analysis ± CI (%). A CSCP kit contains five DTS samples (blinded), 200 μL PBS diluent, a 0.5-mL calibrated disposable micropipette, a dry silica pack, a printed DTS rehydration work aid, and a copy of the report form. The contents are sealed in a 1.5- × 9-inch mailing tube. Users fill out a CSCP request form and each request is reviewed, assessed, and approved before the requested CSCP kit is shipped at ambient temperature with no cold packs. Users then use the kit according to their serology assay requirements. Users return their results and provide the information of the test platform used via electronic entry (CSCP Result Form) or e-mail a copy to COVIDPanel@ucdenver.edu. A report decoding their samples is returned to the user; the report provides a comparison and interpretation of their results against the assigned value for the DTS samples they received. We provide a root-cause analysis to assist users in analyzing and determining corrective measures should the results provided be discordant with the assigned values. As of June 2021, the CSCP has been shipped to multiple sites in Australia, Africa, Southeast Asia, North and South America, and Europe. CSCP concordance of the HR, NR, and LR samples are 97%, 93%, and 65%, respectively. We anticipated the LR sample would be a measure of the sensitivity of the test kit because of its construction or read-out method of the test platform; we are collecting these data for further analysis. Users have experienced a variety of logistical challenges, including receiving kits that were in transit for up to 3 months under harsh conditions (n = 1) and kits that were held for months before use (n = 2) without change in the expected results. One user reported issues with incomplete reconstitution and two users had problems uploading results to the website, all of which are under review for corrective actions. Quality assurance is foundational for the validation of methods, external quality assurance, training, and inter-/intra-laboratory comparison of serological tests.,– As global COVID-19 vaccination efforts are now underway, highly accurate and reliable SARS-CoV-2 serology testing is the primary method to assess vaccine efficacy. Many commercial and laboratory-developed tests react with a range of antigen targets, making it difficult to compare results in the absence of a common set of reference materials. To address this need, the CSCP was further evaluated against the WHO IS using a microsphere immunoassay capable of measuring IgM, IgG, and total Ig reactivity to the S, RBD, and N antigens. By converting the CSCP HR and LR samples to the WHO IS BAUs, we provide the opportunity for direct inter- and intra-laboratory comparison of SARS-CoV-2 serological test results using calibrated reference samples. Widespread use of the CSCP for comparison of SARS-CoV-2 tests will help laboratories interpret and gain confidence in their results, while deterring laboratories from using poorly performing tests. In addition, the CSCP will help clinical laboratories inform their choice of diagnostic test to supplement clinical diagnoses of SARS-CoV-2 infection. With this use in mind, our next step is to harmonize CSCP and other available serology reference materials by validating them concomitantly as secondary standards to the WHO IS. This would provide an inferential link to WHO IS and give broader access of validated reference materials to be used in comparing and evaluating test kit performance in use cases already cited. The DTS system is also flexible enough to accommodate additional samples to reflect current pandemic situations, such as post-vaccination and convalescent samples from persons infected with SARS-CoV-2 variants. Supplemental materials
  10 in total

1.  External quality assurance with dried tube specimens (DTS) for point-of-care syphilis and HIV tests: experience in an indigenous populations screening programme in the Brazilian Amazon.

Authors:  Adele Schwartz Benzaken; Maria Luiza Bazzo; Enrique Galban; Ione Conceição Pereira Pinto; Christiane Lourenço Nogueira; Lisléia Golfetto; Nina Schwartz Benzaken; Kimberly A Sollis; David Mabey; Rosanna W Peeling
Journal:  Sex Transm Infect       Date:  2013-09-12       Impact factor: 3.519

2.  Dried tube specimens: a simple and cost-effective method for preparation of HIV proficiency testing panels and quality control materials for use in resource-limited settings.

Authors:  Bharat S Parekh; Juliana Anyanwu; Hetal Patel; Marie Downer; Mireille Kalou; Catherine Gichimu; Bera Steven Keipkerich; Nelly Clement; Michael Omondi; Oren Mayer; Chin-Yih Ou; John N Nkengasong
Journal:  J Virol Methods       Date:  2009-10-28       Impact factor: 2.014

3.  Development and Validation of a Multiplex Microsphere Immunoassay Using Dried Blood Spots for SARS-CoV-2 Seroprevalence: Application in First Responders in Colorado, USA.

Authors:  Thomas E Morrison; Rosemary Rochford; Ross M Kedl; Jonathan S Schultz; Mary K McCarthy; Cody Rester; Katherine R Sabourin; Kyle Annen; Melkon DomBourian; Elan Eisenmesser; Ashley Frazer-Abel; Vijaya Knight; Thomas Jaenisch
Journal:  J Clin Microbiol       Date:  2021-05-19       Impact factor: 5.948

4.  External quality assessment in the voluntary counseling and testing centers in the Brazilian Amazon using dried tube specimens: results of an effectiveness evaluation.

Authors:  Andréa Mônica Brandão Beber; Meritxell Sabidó; Janete Maria Rebelo Vieira; Maria Luiza Bazzo; Adele Schwartz Benzaken
Journal:  Rev Soc Bras Med Trop       Date:  2015       Impact factor: 1.581

5.  A global proficiency testing programme for Xpert® MTB/RIF using dried tube specimens, 2013-2015.

Authors:  Katherine Klein; Kyle DeGruy; Zilma Rey; Patricia Hall; Andrea Kim; Steve Gutreuter; Heather Alexander
Journal:  Afr J Lab Med       Date:  2020-11-27

6.  Serological analysis reveals an imbalanced IgG subclass composition associated with COVID-19 disease severity.

Authors:  Jennifer L Yates; Dylan J Ehrbar; Danielle T Hunt; Roxanne C Girardin; Alan P Dupuis; Anne F Payne; Mycroft Sowizral; Scott Varney; Karen E Kulas; Valerie L Demarest; Kelly M Howard; Kyle Carson; Margaux Hales; Monir Ejemel; Qi Li; Yang Wang; Ruben Peredo-Wende; Ananthakrishnan Ramani; Gurpreet Singh; Klemen Strle; Nicholas J Mantis; Kathleen A McDonough; William T Lee
Journal:  Cell Rep Med       Date:  2021-06-15

7.  SeroTracker: a global SARS-CoV-2 seroprevalence dashboard.

Authors:  Rahul K Arora; Abel Joseph; Jordan Van Wyk; Simona Rocco; Austin Atmaja; Ewan May; Tingting Yan; Niklas Bobrovitz; Jonathan Chevrier; Matthew P Cheng; Tyler Williamson; David L Buckeridge
Journal:  Lancet Infect Dis       Date:  2020-08-04       Impact factor: 25.071

8.  The challenge of producing an EQA for the COVID-19 pandemic.

Authors:  Tony Badrick; Louise Wienholt; Daniel Fone; Derek Holzhauser
Journal:  Pract Lab Med       Date:  2020-10-17

9.  Risk Factors of SARS-CoV-2 Antibodies in Arapahoe County First Responders-The COVID-19 Arapahoe SErosurveillance Study (CASES) Project.

Authors:  Katherine R Sabourin; Jonathan Schultz; Joshua Romero; Molly M Lamb; Daniel Larremore; Thomas E Morrison; Ashley Frazer-Abel; Shanta Zimmer; Ross M Kedl; Thomas Jaenisch; Rosemary Rochford
Journal:  J Occup Environ Med       Date:  2021-03-01       Impact factor: 2.306

10.  Recovery from Acute SARS-CoV-2 Infection and Development of Anamnestic Immune Responses in T Cell-Depleted Rhesus Macaques.

Authors:  Kim J Hasenkrug; Friederike Feldmann; Lara Myers; Mario L Santiago; Kejun Guo; Bradley S Barrett; Kaylee L Mickens; Aaron Carmody; Atsushi Okumura; Deepashri Rao; Madison M Collins; Ronald J Messer; Jamie Lovaglio; Carl Shaia; Rebecca Rosenke; Neeltje van Doremalen; Chad Clancy; Greg Saturday; Patrick Hanley; Brian J Smith; Kimberly Meade-White; W Lesley Shupert; David W Hawman; Heinz Feldmann
Journal:  mBio       Date:  2021-07-27       Impact factor: 7.867

  10 in total
  1 in total

1.  Harmonization of Multiple SARS-CoV-2 Reference Materials Using the WHO IS (NIBSC 20/136): Results and Implications.

Authors:  William Jonathan Windsor; Yannik Roell; Heidi Tucker; Chi-An Cheng; Sara Suliman; Laura J Peek; Gary A Pestano; William T Lee; Heinz Zeichhardt; Molly M Lamb; Martin Kammel; Hui Wang; Ross Kedl; Cody Rester; Thomas E Morrison; Bennet J Davenport; Kyle Carson; Jennifer Yates; Kelly Howard; Karen Kulas; David R Walt; Aner Dafni; Daniel Taylor; May Chu
Journal:  Front Microbiol       Date:  2022-05-30       Impact factor: 6.064

  1 in total

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