Journal Article

Serodiagnosis of Pulmonary Disease Due to <i>Mycobacterium avium</i> Complex with an Enzyme Immunoassay that Uses a Mixture of Glycopeptidolipid Antigens

Seigo Kitada, Ryoji Maekura, Naomi Toyoshima, Nagatoshi Fujiwara, Ikuya Yano, Takeshi Ogura, Masami Ito and Kazuo Kobayashi

in Clinical Infectious Diseases

Published on behalf of Infectious Diseases Society of America

Volume 35, issue 11, pages 1328-1335
Published in print December 2002 | ISSN: 1058-4838
Published online December 2002 | e-ISSN: 1537-6591 | DOI: http://dx.doi.org/10.1086/344277
Serodiagnosis of Pulmonary Disease Due to Mycobacterium avium Complex with an Enzyme Immunoassay that Uses a Mixture of Glycopeptidolipid Antigens

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It is difficult to distinguish pulmonary disease due to Mycobacterium avium complex (MAC) from that due to other mycobacteria, such as Mycobacterium tuberculosis and Mycobacterium kansasii. We developed an enzyme immunoassay (EIA) for diagnosis of MAC pulmonary diseases that uses glycopeptidolipid (GPL) antigens specific for MAC, and we used it for diagnosis in immunocompetent patients. The mean optical densities (± standard deviation) of serum immunoglobulin G antibodies to GPLs in patients with MAC disease, MAC colonization, M. kansasii disease, and tuberculosis and in healthy subjects were 0.778 ± 0.784, 0.042 ± 0.035, 0.059 ± 0.035, 0.071 ± 0.035, and 0.030 ± 0.027, respectively. A significant increase in the level of anti-GPL antibodies was detected in patients with MAC disease. The level of anti-GPL antibodies reflected disease activity, because the level was decreased in culture-negative patients who had conversion of culture results. When a cutoff level of seropositivity (0.119) was defined, the sensitivity of EIA for diagnosis of MAC disease was 92.3%, and the specificity was 96.7%. Measurement of serum anti-GPL antibodies is useful for both the diagnosis of and assessment of activity in MAC disease.

Journal Article.  4438 words.  Illustrated.

Subjects: Infectious Diseases ; Immunology ; Public Health and Epidemiology ; Microbiology

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