Applicability of the filter paper technique for detection of antifilarial IgG4 antibodies using the Bm14 filariasis CELISA

Joseph, Hayley M., and Melrose, Wayne (2010) Applicability of the filter paper technique for detection of antifilarial IgG4 antibodies using the Bm14 filariasis CELISA. Journal of Parasitology Research, 2010. pp. 1-6.

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Abstract

Demonstration of successful elimination of lymphatic filariasis (LF) in endemic countries requires sensitive diagnostics for accurate definitions of endpoints and future surveillance. There has been interest in complementing available diagnostics with antibody serology testing in children, since negative serology would correspond with cessation of LF transmission. The Filariasis CELISA detects antifilarial IgG4 and has favourable results with serum samples but field application requires an easier sampling method. Ninety-four paired plasma and filter paper samples were assayed with promising results. The filter paper method resulted in a sensitivity of 92% and a specificity of 77% when compared to the paired plasma. One hundred and one filter paper samples were assessed for storage effects. Following 10-month storage at −20°C there was a significant reduction in reactivity (P<.001). Overall the results indicated that filter paper sampling would be a favourable sensitive and specific alternative for blood collection in surveys.

Item ID: 11833
Item Type: Article (Refereed Research - C1)
ISSN: 2090-0023
Date Deposited: 06 Sep 2010 04:05
FoR Codes: 11 MEDICAL AND HEALTH SCIENCES > 1117 Public Health and Health Services > 111706 Epidemiology @ 15%
11 MEDICAL AND HEALTH SCIENCES > 1117 Public Health and Health Services > 111715 Pacific Peoples Health @ 75%
03 CHEMICAL SCIENCES > 0301 Analytical Chemistry > 030104 Immunological and Bioassay Methods @ 10%
SEO Codes: 92 HEALTH > 9204 Public Health (excl. Specific Population Health) > 920404 Disease Distribution and Transmission (incl. Surveillance and Response) @ 75%
86 MANUFACTURING > 8608 Human Pharmaceutical Products > 860802 Human Diagnostics @ 25%
Citation Count from Scopus Scopus 9
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