An Improved Enzyme-Linked Immunoassay for the Detection of Leptospira-Specific Antibodies

Hua-Wei Chen Naval Medical Research Center, Silver Spring, Maryland;

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Heather Lukas Naval Medical Research Center, Silver Spring, Maryland;

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Kira Becker Naval Medical Research Center, Silver Spring, Maryland;

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Giulia Weissenberger Naval Medical Research Center, Silver Spring, Maryland;

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Eric S. Halsey Naval Medical Research Unit No. 6, Lima, Peru;

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Carolina Guevara Naval Medical Research Unit No. 6, Lima, Peru;

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Enrique Canal Naval Medical Research Unit No. 6, Lima, Peru;

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Eric Hall Naval Medical Research Center, Silver Spring, Maryland;

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Ryan C. Maves Naval Medical Research Unit No. 6, Lima, Peru;
Naval Medical Center San Diego, San Diego, California;

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Drake H. Tilley Naval Medical Center San Diego, San Diego, California;

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Lynn Kuo Department of Statistics, University of Connecticut, Storrs, Connecticut

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Tadeusz J. Kochel Naval Medical Research Center, Silver Spring, Maryland;

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Wei-Mei Ching Naval Medical Research Center, Silver Spring, Maryland;

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Leptospirosis is a neglected zoonotic disease with worldwide endemicity and continues to be a significant public health burden on resource-limited populations. Previously, we produced three highly purified recombinant antigens (rLipL32, rLipL41, and rLigA-Rep) and evaluated their performance of detecting Leptospira-specific antibodies in enzyme-linked immunosorbent assay (ELISA) as compared with the microscopic agglutination test (MAT). The overall sensitivity of this assay approached 90%. Recently, another recombinant antigen (rLigB-Rep) was prepared. We tested each individual antigen and a 1:1:1:1 mixture of these four antigens for the detection of Leptospira-specific antibodies in ELISA. The performance of these recombinant antigens was evaluated with a much larger febrile patient panel (337 MAT-confirmed positive sera and 92 MAT-negative sera from febrile patients). Combining the detection results of immunoglobulin M and immunoglobulin G from these four individual antigens, the overall sensitivity was close to 90% but the specificity was only 66%, based on the MAT reference method. The overall sensitivity and specificity of the four-antigen mixture were 82% and 86%, respectively. The mixture of four antigens also exhibited a broader reactivity with MAT-positive samples of 18 serovars from six major pathogenic Leptospira species. Given the limitations of MAT, the data were further analyzed by Bayesian latent class model, showing that ELISA using a 1:1:1:1 mixture still maintained high sensitivity (79%) and specificity (88%) as compared with the sensitivity (90%) and specificity (83%) of MAT. Therefore, ELISA using a mixture of these four antigens could be a very useful test for seroprevalence studies.

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Author Notes

Address correspondence to Wei-Mei Ching, Naval Medical Research Center, 503 Robert Grant Ave., Silver Spring, MD 20910. E-mail: wei-mei.m.ching.civ@mail.mil

Financial support: This research was supported by Naval Medical Research Center, research work unit 6000.RAD1.J.A0310 and the United States Department of Defense Global Emerging Infections Systems Research Program, work unit number 847705.82000.25GB.B0016.

Copyright statement: The views expressed in this article are those of the authors and do not necessarily reflect the official policy or position of the Department of the Navy, Department of Defense, or the U.S. government. E. S. H, C. G., E. C., E. H., R. C. M., D. H. T., T. J. K., and W-M. C. are employees of the U.S. government. This work was prepared as part of their official duties. Title 17 U.S.C. §105 provides that “Copyright protection under this title is not available for any work of the United States Government.” Title 17 U.S.C. §101 defines a U.S. government work as a work prepared by a military service member or employee of the U.S. government as part of that person’s official duties.

Authors’ addresses: Hua-Wei Chen, Heather Lukas, Kira Becker, Giulia Weissenberger, Eric Hall, Tadeusz J. Kochel, and Wei-Mei Ching, Naval Medical Research Center, Silver Spring, MD, E-mails: huawei.chen2.ctr@mail.mil, lukas.heather@gmail.com, kbecker2015@yahoo.com, gweis990@gmail.com, eric.r.hall2.mil@mail.mil, tadeusz.kochel@nbacc.dhs.gov, and wei-mei.m.ching.civ@mail.mil. Eric S. Halsey, Carolina Guevara, and Enrique Canal, Naval Medical Research Unit No. 6, Lima, Peru, E-mails: ycw8@cdc.gov, carolina.guevara.fn@mail.mil, and enrique.a.canal.fn@mail.mil. Ryan C. Maves, Naval Medical Research Unit No. 6, Lima, Peru, and Naval Medical Center San Diego, San Diego, CA, E-mail: ryan.c.maves.mil@mail.mil. Drake H. Tilley, Naval Medical Center San Diego, San Diego, CA, E-mail: drake.h.tilley.mil@mail.mil. Lynn Kuo, Department of Statistics, University of Connecticut, Storrs, CT, E-mail: lynn.kuo@uconn.edu.

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