Dataset Information

Serological surveillance development for tropical infectious diseases using simultaneous microsphere-based multiplex assays and finite mixture models.

ABSTRACT:

Background

A strategy to combat infectious diseases, including neglected tropical diseases (NTDs), will depend on the development of reliable epidemiological surveillance methods. To establish a simple and practical seroprevalence detection system, we developed a microsphere-based multiplex immunoassay system and evaluated utility using samples obtained in Kenya.

Methods

We developed a microsphere-based immuno-assay system to simultaneously measure the individual levels of plasma antibody (IgG) against 8 antigens derived from 6 pathogens: Entamoeba histolytica (C-IgL), Leishmania donovani (KRP42), Toxoplasma gondii (SAG1), Wuchereria bancrofti (SXP1), HIV (gag, gp120 and gp41), and Vibrio cholerae (cholera toxin). The assay system was validated using appropriate control samples. The assay system was applied for 3411 blood samples collected from the general population randomly selected from two health and demographic surveillance system (HDSS) cohorts in the coastal and western regions of Kenya. The immunoassay values distribution for each antigen was mathematically defined by a finite mixture model, and cut-off values were optimized.

Findings

Sensitivities and specificities for each antigen ranged between 71 and 100%. Seroprevalences for each pathogen from the Kwale and Mbita HDSS sites (respectively) were as follows: HIV, 3.0% and 20.1%; L. donovani, 12.6% and 17.3%; E. histolytica, 12.8% and 16.6%; and T. gondii, 30.9% and 28.2%. Seroprevalences of W. bancrofti and V. cholerae showed relatively high figures, especially among children. The results might be affected by immunological cross reactions between W. bancrofti-SXP1 and other parasitic infections; and cholera toxin and the enterotoxigenic E. coli (ETEC), respectively.

Interpretation

A microsphere-based multi-serological assay system can provide an opportunity to comprehensively grasp epidemiological features for NTDs. By adding pathogens and antigens of interest, optimized made-to-order high-quality programs can be established to utilize limited resources to effectively control NTDs in Africa.

SUBMITTER: Fujii Y

PROVIDER: S-EPMC4117437 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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Publications

Serological surveillance development for tropical infectious diseases using simultaneous microsphere-based multiplex assays and finite mixture models.

Fujii Yoshito Y Kaneko Satoshi S Nzou Samson Muuo SM Mwau Matilu M Njenga Sammy M SM Tanigawa Chihiro C Kimotho James J Mwangi Anne Wanjiru AW Kiche Ibrahim I Matsumoto Sohkichi S Niki Mamiko M Osada-Oka Mayuko M Ichinose Yoshio Y Inoue Manabu M Itoh Makoto M Tachibana Hiroshi H Ishii Kazunari K Tsuboi Takafumi T Yoshida Lay Myint LM Mondal Dinesh D Haque Rashidul R Hamano Shinjiro S Changoma Mwatasa M Hoshi Tomonori T Kamo Ken-Ichi K Karama Mohamed M Miura Masashi M Hirayama Kenji K

PLoS neglected tropical diseases 20140731 7

<h4>Background</h4>A strategy to combat infectious diseases, including neglected tropical diseases (NTDs), will depend on the development of reliable epidemiological surveillance methods. To establish a simple and practical seroprevalence detection system, we developed a microsphere-based multiplex immunoassay system and evaluated utility using samples obtained in Kenya.<h4>Methods</h4>We developed a microsphere-based immuno-assay system to simultaneously measure the individual levels of plasma ...[more]

PMID: 25078404

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Project description:BackgroundA novel porcine deltacoronavirus (PDCoV), also known as porcine coronavirus HKU15, was reported in China in 2012 and identified in the U.S. in early 2014. Since then, PDCoV has been identified in a number of U.S. states and linked with clinical disease including acute diarrhea and vomiting in the absence of other identifiable pathogens. Since PDCoV was just recently linked with clinical disease, few specific antibody-based reagents were available to assist in diagnosis of PDCoV and limited serological capabilities were available to detect an antibody response to this virus. Therefore, the overall objective of this project was to develop and validate selected diagnostic reagents and assays for PDCoV antigen and antibody detection.ResultsThe nucleoprotein of PDCoV was expressed as a recombinant protein and purified for use as an antigen to immunize mice for polyclonal, hyperimmune sera and monoclonal antibody (mAb) production. The resulting mAbs were evaluated for use in fluorescent antibody staining methods to detect PDCoV infected cells following virus isolation attempts and for immunohistochemistry staining of intestinal tissues of infected pigs. The same antigen was used to develop serological tests to detect the antibody response to PDCoV in pigs following infection. Serum samples from swine herds with recent documentation of PDCoV infection and samples from expected naïve herds were used for initial assay optimization. The tests were optimized in a checkerboard fashion to reduce signal to noise ratios using samples of known status. Statistical analysis was performed to establish assay cutoff values and assess diagnostic sensitivities and specificities. At least 629 known negative serum samples and 311 known positive samples were evaluated for each assay. The enzyme linked immunosorbent assay (ELISA) showed diagnostic sensitivity (DSe) of 96.1% and diagnostic specificity (DSp) of 96.2%. The fluorescent microsphere immunoassay (FMIA) showed a DSe of 95.8% and DSp of 98.1%. Both ELISA and FMIA detected seroconversion of challenged pigs between 8-14 days post-infection (DPI). An indirect fluorescent antibody (IFA) test was also developed using cell culture adapted PDCoV for comparative purposes.ConclusionThese new, specific reagents and serological assays will allow for improved diagnosis of PDCoV. Since many aspects of PDCoV infection and transmission are still not fully understood, the reagents and assays developed in this project should provide valuable tools to help understand this disease and to aid in the control and surveillance of porcine deltacoronavirus outbreaks.

Dataset Information

Serological surveillance development for tropical infectious diseases using simultaneous microsphere-based multiplex assays and finite mixture models.

Background

Methods

Findings

Interpretation

Publications

Serological surveillance development for tropical infectious diseases using simultaneous microsphere-based multiplex assays and finite mixture models.

Similar Datasets

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