BMC Infectious Diseases

official impact factor 2.83

Open Access Research article

Evaluation and optimization of a commercial enzyme linked immunosorbent assay for detection of Chlamydophila pneumoniae IgA antibodies

Olfa Frikha-Gargouri1, Radhouane Gdoura1, Abir Znazen1, Nozha Ben Arab2, Jalel Gargouri3, Mounir Ben Jemaa2 and Adnene Hammami1*

Author Affiliations

1 Department of Microbiology and research laboratory "Microorganismes et Pathologie Humaine", Habib Bourguiba Hospital of Sfax, Tunisia

2 Department of Infectious Diseases, Hedi Chaker Hospital of Sfax, Tunisia

3 Department of Blood Bank, Sfax, Tunisia

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BMC Infectious Diseases 2008, 8:98 doi:10.1186/1471-2334-8-98

Published: 26 July 2008

Abstract

Background

Serologic diagnosis of Chlamydophila pneumoniae (Cpn) infection routinely involves assays for the presence of IgG and IgM antibodies to Cpn. Although IgA antibodies to Cpn have been found to be of interest in the diagnosis of chronic infections, their significance in serological diagnosis remains unclear. The microimmunofluorescence (MIF) test is the current method for the measurement of Cpn antibodies. While commercial enzyme linked immunosorbent assays (ELISA) have been developed, they have not been fully validated. We therefore evaluated and optimized a commercial ELISA kit, the SeroCP IgA test, for the detection of Cpn IgA antibodies.

Methods

Serum samples from 94 patients with anti-Cpn IgG titers ≥ 256 (study group) and from 100 healthy blood donors (control group) were tested for the presence of IgA antibodies to Cpn, using our in-house MIF test and the SeroCP IgA test. Two graph receiver operating characteristic (TG-ROC) curves were created to optimize the cut off given by the manufacturer.

Results

The MIF and SeroCP IgA tests detected Cpn IgA antibodies in 72% and 89%, respectively, of sera from the study group, and in 9% and 35%, respectively, of sera from the control group. Using the MIF test as the reference method and the cut-off value of the ELISA test specified by the manufacturer for seropositivity and negativity, the two tests correlated in 76% of the samples, with an agreement of Ƙ = 0.54. When we applied the optimized cut-off value using TG-ROC analysis, 1.65, we observed better concordance (86%) and agreement (0.72) between the MIF and SeroCP IgA tests.

Conclusion

Use of TG-ROC analysis may help standardize and optimize ELISAs, which are simpler, more objective and less time consuming than the MIF test. Standardization and optimization of commercial ELISA kits may result in better performance.