Detection of Francisella tularensis-Specific Antibodies in Patients with Tularemia by a Novel Competitive Enzyme-Linked Immunosorbent Assay

Author:

Sharma Neekun12,Hotta Akitoyo1,Yamamoto Yoshie1,Fujita Osamu1,Uda Akihiko1,Morikawa Shigeru12,Yamada Akio12,Tanabayashi Kiyoshi1

Affiliation:

1. Department of Veterinary Science, National Institute of Infectious Diseases, Shinjuku-ku, Tokyo, Japan

2. The United Graduate School of Veterinary Sciences, Gifu University, Gifu, Japan

Abstract

ABSTRACT A novel competitive enzyme-linked immunosorbent assay (cELISA) was developed and evaluated for detection of antibodies against Francisella tularensis in humans. The assay is based on the ability of serum antibodies to inhibit the binding of monoclonal antibodies (MAbs) directed against F. tularensis lipopolysaccharide antigens. The assay was evaluated using serum samples of tularemia patients, inactivated F. tularensis -immunized rabbits, and F. tularensis -infected mice. Antibodies against F. tularensis were successfully detected in serum samples of tularemia patients as well as the immunized and infected animals. The cELISA method was compared to indirect ELISA (iELISA) and the commonly used microagglutination test (MA) using serum samples of 19 tularemia patients and 50 healthy individuals. The sensitivity and specificity of cELISA were 93.9 and 96.1%, respectively, in comparison to the iELISA. MA was less sensitive than cELISA with a sensitivity and specificity of only 81.8 and 98.0%, respectively. A high degree of correlation ( R 2 = 0.8226) was observed between cELISA and iELISA results. The novel cELISA developed in this study appears to be highly sensitive and specific for serodiagnosis of human tularemia. The potential of the MAb-based cELISA to be used in both human and animal samples emphasizes its usefulness for serological survey of tularemia among multiple animal species.

Publisher

American Society for Microbiology

Subject

Microbiology (medical),Clinical Biochemistry,Immunology,Immunology and Allergy

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