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Rapid and multiplexed detection of Lyme disease using a grating coupled-fluorescent plasmonics (GC-FP) biosensor platform
Author(s): Eunice Chou; Arturo Pilar; Ernest F Guignon; William Page; Yi-Pin Lin; Nathaniel C. Cady
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Paper Abstract

Infection with the spirochete Borrelia burgdorferi leads to Lyme disease (LD), the most prevalent tick-borne illness in the Northern Hemisphere. If left untreated, the infection spreads throughout the body, causing multisystem disease. The current standard for LD diagnosis is a two-tiered approach (ELISA followed by Western blot), which targets the immune response to bacterial proteins. This approach, however, lacks sensitivity and specificity, leading to misdiagnosis. We developed a protein microarray assay to detect antibodies against B. burgdorferi proteins with high sensitivity using grating-coupled surface plasmon resonance, combined with fluorescence imaging (Grating Coupled-Fluorescent Plasmonics, GC-FP). Here, we use GC-FP for rapid and multiplexed detection of antibodies from B. burgdorferi in human serum. We confirmed the fluorescence enhancement capability of GC-FP analysis and optimized reagent concentrations for detection of serum antibodies present in human LD. By conducting GC-FP analysis of patient serum samples, we were able to accurately diagnose LD in patients with disseminated and early-stage infection. Our results show that GC-FP can detect IgG antibodies in highly dilute human sera (up to 1:1250X serum dilution) and we are currently establishing whether or not our GC-FP platform can detect serum antibodies with greater sensitivity and specificity compared to the standard Western blot approach. Altogether, our work provides a potential path towards replacement of the cumbersome two-tiered testing algorithm, and thus a streamlined approach to LD diagnosis.

Paper Details

Date Published: 7 March 2019
PDF: 13 pages
Proc. SPIE 10895, Frontiers in Biological Detection: From Nanosensors to Systems XI, 108950C (7 March 2019); doi: 10.1117/12.2507973
Show Author Affiliations
Eunice Chou, SUNY Polytechnic Institute (United States)
SUNY Downstate Medical Ctr. (United States)
Arturo Pilar, Ciencia, Inc. (United States)
Ernest F Guignon, Ciencia, Inc. (United States)
William Page, Ciencia, Inc. (United States)
Yi-Pin Lin, Univ. at Albany, SUNY (United States)
Nathaniel C. Cady, SUNY Polytechnic Institute (United States)

Published in SPIE Proceedings Vol. 10895:
Frontiers in Biological Detection: From Nanosensors to Systems XI
Amos Danielli; Benjamin L. Miller; Sharon M. Weiss, Editor(s)

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