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Veterinary immunology and immunopathology2011; 144(3-4); 374-381; doi: 10.1016/j.vetimm.2011.08.005

Development of a multiplex assay for the detection of antibodies to Borrelia burgdorferi in horses and its validation using Bayesian and conventional statistical methods.

Abstract: Lyme disease is a zoonotic, vector-borne disease and occurs in mammals including horses. The disease is induced by infection with spirochetes of the Borrelia burgdorferi sensu lato group. Infection of mammalian hosts requires transmission of spirochetes by infected ticks during tick bites. Lyme disease diagnosis is based on clinical signs, possible exposure to infected ticks, and antibody testing which is traditionally performed by ELISA and Western blotting (WB). This report describes the development and validation of a new fluorescent bead-based multiplex assay for the detection of antibodies to B. burgdorferi outer surface protein A (OspA), OspC and OspF antigens in horse serum. Testing of 562 equine sera was performed blindly and in parallel by using WB and the new multiplex assay. Because a true gold standard is missing for Lyme antibody testing, we performed and compared different statistical approaches to validate the new Lyme multiplex assay. One approach was to use WB results as a 'relative gold standard' in ROC-curve and likelihood-ratio analyses of the new test. Cut-off values and interpretation ranges of the multiplex assay were established by the analysis. The second statistical approach used a Bayesian model for the calculation of diagnostic sensitivities and specificities of the multiplex assay. The Bayesian analysis takes into consideration that no true gold standard exists for detecting antibodies to B. burgdorferi and estimated sensitivities and specificities of both tests that were compared. Therefore, the Bayesian analysis also resulted in an evaluation of diagnostic sensitivity and specificity of WB. Overall, the new assay was characterized by low background values and a wide dynamic quantification range for the detection of antibodies to OspA, OspC and OspF antigens of B. burgdorferi. The diagnostic sensitivity and specificity for the OspA bead-based assay were calculated as 49% and 85%, respectively, and by a standard ROC curve analysis only because the Bayesian model could not be run on this parameter. The Bayesian-derived diagnostic sensitivities of the OspC and OspF assays were 80% and 86%, respectively. For comparison, the Bayesian-derived estimates for WB resulted in sensitivities of 72% for OspC and 80% for OspF. The Bayesian diagnostic specificities of the multiplex assay were 79% and 69% for OspC and OspF, respectively. WB analysis had specificities of 92% for OspC and 77% for OspF. Although the analysis of a new assay in the absence of a true gold standard remains challenging, the approach used here can help to address this problem when new technologies and traditionally used test standards differ significantly in their analytical sensitivities, which consequently causes problems in the calculation of diagnostic sensitivity and sensitivity values for the new assay. In summary, the new multiplex assay for the detection of antibodies to B. burgdorferi OspA, OspC and OspF antigens in horse serum has improved analytical and diagnostic sensitivities compared to WB analysis. Multiplex analysis is a valuable quantitative tool that simultaneously detects antibodies indicative for natural infection with and/or vaccination against the Lyme pathogen.
Copyright © 2011 Elsevier B.V. All rights reserved.
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Publication Date: 2011-08-17 PubMed ID: 21890217DOI: 10.1016/j.vetimm.2011.08.005Google Scholar: Lookup
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Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

This study presents the development and validation of a diagnostic tool for detection of Lyme Disease antibodies in horses. Researchers developed a fluorescent bead-based multiplex assay that detects the presence of antibodies to B. burgdorferi outer surface protein A (OspA), OspC and OspF antigens. The study showed that the new assay has improved analytical and diagnostic sensitivities compared to conventional testing.

Building the Multiplex Assay

The study focused on the creation of a new diagnostic tool for the detection of antibodies to B. burgdorferi, the bacteria causing Lyme disease, in horses. This fluorescent bead-based multiplex assay detects the presence of antibodies to three specific B. burgdorferi antigens, OspA, OspC, and OspF.

  • The multiplex assay works by detecting the interaction between fluorescent beads and antibodies within a horse’s serum.
  • The assay employed a diagnostic target, known as B. burgdorferi outer surface protein A (OspA), and two antigens (OspC and OspF), which are markers of B. burgdorferi in the body.
  • The study used serum of 562 horses, with testing carried out blindly to ensure objective results.

Validation of the Multiplex Assay

After creation, the researchers performed a thorough validation of this new diagnostic tool using both traditional statistical methods and a Bayesian approach.

  • Because there is no definite ‘gold standard’ for Lyme disease testing, the established Western Blotting (WB) method was used as the ‘relative gold standard’ for comparison purposes.
  • The researchers performed ROC-curve and likelihood-ratio analyses, which are statistical methods used to evaluate the performance of a diagnostic test.
  • Furthermore, Bayesian statistical analysis, which considers the absence of a true gold standard, was also applied. This yielded estimates for diagnostic sensitivities and specificities for both the multiplex assay and the WB method.

Findings and Implications

The results from the testing revealed that the new multiplex assay had improved analytical and diagnostic sensitivity compared to the traditional WB testing.

  • The multiplex assay demonstrated low background values and a broad dynamic range for quantification of antibodies to OspA, OspC, and OspF antigens.
  • The Bayesian-derived diagnostic sensitivities of the multiplex assay for OspC and OspF antigens were 80% and 86% respectively, which show considerable improvements from WB estimates of 72% and 80%.
  • Furthermore, the multiplex assay allows simultaneous detection of antibodies that indicate natural infection and/or vaccination against the Lyme pathogen, providing a quantitative evaluation of a horse’s immunization status.
  • The development and validation of this novel diagnostic tool is significant, as it provides a new, potentially more accurate way to detect Lyme Disease antibodies in horses, possibly leading to better management and control of the disease.

Cite This Article

APA
Wagner B, Freer H, Rollins A, Erb HN, Lu Z, Gröhn Y. (2011). Development of a multiplex assay for the detection of antibodies to Borrelia burgdorferi in horses and its validation using Bayesian and conventional statistical methods. Vet Immunol Immunopathol, 144(3-4), 374-381. https://doi.org/10.1016/j.vetimm.2011.08.005

Publication

Veterinary immunology and immunopathology
ISSN: 1873-2534
NlmUniqueID: 8002006
Country: Netherlands
Language: English
Volume: 144
Issue: 3-4
Pages: 374-381

Researcher Affiliations

Wagner, Bettina
  • Department of Population Medicine and Diagnostic Sciences, Cornell University, Ithaca, NY, USA. bw73@cornell.edu
Freer, Heather
    Rollins, Alicia
      Erb, Hollis N
        Lu, Zhao
          Gröhn, Yrjo

            MeSH Terms

            • Animals
            • Antibodies, Bacterial / immunology
            • Antigens, Bacterial / immunology
            • Antigens, Surface / immunology
            • Bacterial Outer Membrane Proteins / immunology
            • Bacterial Vaccines / immunology
            • Bayes Theorem
            • Borrelia burgdorferi / immunology
            • Data Interpretation, Statistical
            • Fluorescence
            • Horse Diseases / diagnosis
            • Horse Diseases / immunology
            • Horses / immunology
            • Immunoassay / methods
            • Immunoassay / veterinary
            • Likelihood Functions
            • Lipoproteins / immunology
            • Lyme Disease / diagnosis
            • Lyme Disease / immunology
            • Lyme Disease / veterinary
            • Microspheres
            • ROC Curve
            • Reproducibility of Results
            • Sensitivity and Specificity

            Citations

            This article has been cited 22 times.
            1. Divers TJ, Mongodin EF, Miller CB, Belgrave RL, Gardner RB, Fraser CM, Schutzer SE. Genomic hybrid capture assay to detect Borrelia burgdorferi: an application to diagnose neuroborreliosis in horses. J Vet Diagn Invest 2022 Sep;34(5):909-912.
              doi: 10.1177/10406387221112617pubmed: 35864735google scholar: lookup
            2. Garcia K, Weakley M, Do T, Mir S. Current and Future Molecular Diagnostics of Tick-Borne Diseases in Cattle. Vet Sci 2022 May 21;9(5).
              doi: 10.3390/vetsci9050241pubmed: 35622769google scholar: lookup
            3. Guarino C, Pinn-Woodcock T, Levine DG, Miller J, Johnson AL. Case Report: Nuchal Bursitis Associated With Borrelia burgdorferi Infection in a Horse. Front Vet Sci 2021;8:743067.
              doi: 10.3389/fvets.2021.743067pubmed: 34631864google scholar: lookup
            4. Neely M, Arroyo L, Jardine C, Clow K, Moore A, Hazlett M, Weese JS. Evaluation of 2 ELISAs to determine Borrelia burgdorferi seropositivity in horses over a 12-month period. J Vet Diagn Invest 2021 Jul;33(4):736-739.
              doi: 10.1177/10406387211016103pubmed: 34041969google scholar: lookup
            5. Springer A, Glass A, Probst J, Strube C. Tick-borne zoonoses and commonly used diagnostic methods in human and veterinary medicine. Parasitol Res 2021 Dec;120(12):4075-4090.
              doi: 10.1007/s00436-020-07033-3pubmed: 33459849google scholar: lookup
            6. Goodrich EL, McLean A, Guarino C. A Pilot Serosurvey for Selected Pathogens in Feral Donkeys (Equus asinus). Animals (Basel) 2020 Oct 2;10(10).
              doi: 10.3390/ani10101796pubmed: 33023217google scholar: lookup
            7. Ji C, Wei Y, Wang J, Zeng Y, Pan H, Liang G, Ma J, Gong L, Zhang W, Zhang G, Wang H. Development of a Dual Fluorescent Microsphere Immunological Assay for Detection of Pseudorabies Virus gE and gB IgG Antibodies. Viruses 2020 Aug 20;12(9).
              doi: 10.3390/v12090912pubmed: 32825263google scholar: lookup
            8. Houben RMAC, Meersschaert C, Hendrickx G, Pitel PH, Amory H. Modelling the probability and impact of false-positive serology for Borrelia burgdorferi sensu lato: A case study. Equine Vet J 2021 Jan;53(1):71-77.
              doi: 10.1111/evj.13277pubmed: 32385952google scholar: lookup
            9. Boorman S, Scherrer NM, Stefanovski D, Johnson AL. Facial nerve paralysis in 64 equids: Clinical variables, diagnosis, and outcome. J Vet Intern Med 2020 May;34(3):1308-1320.
              doi: 10.1111/jvim.15767pubmed: 32249997google scholar: lookup
            10. Li L, Bannantine JP, Campo JJ, Randall A, Grohn YT, Schilling MA, Katani R, Radzio-Basu J, Easterling L, Kapur V. Identification of Sero-Diagnostic Antigens for the Early Diagnosis of Johne's Disease using MAP Protein Microarrays. Sci Rep 2019 Nov 26;9(1):17573.
              doi: 10.1038/s41598-019-53973-xpubmed: 31772281google scholar: lookup
            11. Pecoraro HL, Felippe MJB, Miller AD, Divers TJ, Simpson KW, Guyer KM, Duhamel GE. Neuroborreliosis in a horse with common variable immunodeficiency. J Vet Diagn Invest 2019 Mar;31(2):241-245.
              doi: 10.1177/1040638718824146pubmed: 30661472google scholar: lookup
            12. Divers TJ, Gardner RB, Madigan JE, Witonsky SG, Bertone JJ, Swinebroad EL, Schutzer SE, Johnson AL. Borrelia burgdorferi Infection and Lyme Disease in North American Horses: A Consensus Statement. J Vet Intern Med 2018 Mar;32(2):617-632.
              doi: 10.1111/jvim.15042pubmed: 29469222google scholar: lookup
            13. Johnson AL, Johnstone LK, Stefanovski D. Cerebrospinal fluid Lyme multiplex assay results are not diagnostic in horses with neuroborreliosis. J Vet Intern Med 2018 Mar;32(2):832-838.
              doi: 10.1111/jvim.15067pubmed: 29460492google scholar: lookup
            14. Li L, Wagner B, Freer H, Schilling M, Bannantine JP, Campo JJ, Katani R, Grohn YT, Radzio-Basu J, Kapur V. Early detection of Mycobacterium avium subsp. paratuberculosis infection in cattle with multiplex-bead based immunoassays. PLoS One 2017;12(12):e0189783.
              doi: 10.1371/journal.pone.0189783pubmed: 29261761google scholar: lookup
            15. Bannantine JP, Campo JJ, Li L, Randall A, Pablo J, Praul CA, Raygoza Garay JA, Stabel JR, Kapur V. Identification of Novel Seroreactive Antigens in Johne's Disease Cattle by Using the Mycobacterium tuberculosis Protein Array. Clin Vaccine Immunol 2017 Jul;24(7).
              doi: 10.1128/CVI.00081-17pubmed: 28515134google scholar: lookup
            16. Johnstone LK, Engiles JB, Aceto H, Buechner-Maxwell V, Divers T, Gardner R, Levine R, Scherrer N, Tewari D, Tomlinson J, Johnson AL. Retrospective Evaluation of Horses Diagnosed with Neuroborreliosis on Postmortem Examination: 16 Cases (2004-2015). J Vet Intern Med 2016 Jul;30(4):1305-12.
              doi: 10.1111/jvim.14369pubmed: 27327172google scholar: lookup
            17. Funk RA, Pleasant RS, Witonsky SG, Reeder DS, Werre SR, Hodgson DR. Seroprevalence of Borrelia burgdorferi in Horses Presented for Coggins Testing in Southwest Virginia and Change in Positive Test Results Approximately 1 Year Later. J Vet Intern Med 2016 Jul;30(4):1300-4.
              doi: 10.1111/jvim.13973pubmed: 27214745google scholar: lookup
            18. Wagner B, Freer H, Rollins A, Garcia-Tapia D, Erb HN, Earnhart C, Marconi R, Meeus P. Antibodies to Borrelia burgdorferi OspA, OspC, OspF, and C6 antigens as markers for early and late infection in dogs. Clin Vaccine Immunol 2012 Apr;19(4):527-35.
              doi: 10.1128/CVI.05653-11pubmed: 22336289google scholar: lookup
            19. Guarino C, Franklin-Guild R, Asbie S, Pinn-Woodcock T, Sipka AS, Eade C, Griggs L, Altier E, Ceres K, Grohn Y, Altier C, Wagner B. A fluorescent bead-based multiplex assay for the detection of Brucella sp. specific antibodies in canine serum. Front Microbiol 2025;16:1655877.
              doi: 10.3389/fmicb.2025.1655877pubmed: 41132379google scholar: lookup
            20. Pinn-Woodcock TL, Aprea MS, Lejeune M, Tomlinson JE. Molecular detection of pathogens in an equine fever diagnostic panel: 2019-2023. Equine Vet J 2026 Mar;58(2):486-496.
              doi: 10.1111/evj.14527pubmed: 40384355google scholar: lookup
            21. Bland J, McGowan C, Bush E, Lloyd V. Constructing an ELISA for Detection of Anti-Borrelia in Wildlife and Agricultural Animals. Methods Mol Biol 2024;2742:47-67.
              doi: 10.1007/978-1-0716-3561-2_4pubmed: 38165614google scholar: lookup
            22. Rodriguez CA, Busselman RE, Shen H, Saunders AB, Tarleton R, Hamer SA. Validation of a multiplex microsphere immunoassay for detection of antibodies to Trypanosoma cruzi in dogs. J Vet Diagn Invest 2023 Nov;35(6):704-709.
              doi: 10.1177/10406387231198525pubmed: 37670473google scholar: lookup
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