Massively multiplexed microbial identification using resequencing DNA microarrays for outbreak investigation

T. A. Leski; R. Ansumana; D. H. Jimmy; U. Bangura; A. P. Malanoski; B. Lin; D. A. Stenger

doi:10.1117/12.884782

16 May 2011 Massively multiplexed microbial identification using resequencing DNA microarrays for outbreak investigation

T. A. Leski, R. Ansumana, D. H. Jimmy, U. Bangura, A. P. Malanoski, B. Lin, D. A. Stenger

Author Affiliations +

Proceedings Volume 8029, Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring; and Biometric Technology for Human Identification VIII; 802904 (2011) https://doi.org/10.1117/12.884782
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

Abstract

Multiplexed microbial diagnostic assays are a promising method for detection and identification of pathogens causing syndromes characterized by nonspecific symptoms in which traditional differential diagnosis is difficult. Also such assays can play an important role in outbreak investigations and environmental screening for intentional or accidental release of biothreat agents, which requires simultaneous testing for hundreds of potential pathogens. The resequencing pathogen microarray (RPM) is an emerging technological platform, relying on a combination of massively multiplex PCR and high-density DNA microarrays for rapid detection and high-resolution identification of hundreds of infectious agents simultaneously. The RPM diagnostic system was deployed in Sierra Leone, West Africa in collaboration with Njala University and Mercy Hospital Research Laboratory located in Bo. We used the RPM-Flu microarray designed for broad-range detection of human respiratory pathogens, to investigate a suspected outbreak of avian influenza in a number of poultry farms in which significant mortality of chickens was observed. The microarray results were additionally confirmed by influenza specific real-time PCR. The results of the study excluded the possibility that the outbreak was caused by influenza, but implicated Klebsiella pneumoniae as a possible pathogen. The outcome of this feasibility study confirms that application of broad-spectrum detection platforms for outbreak investigation in low-resource locations is possible and allows for rapid discovery of the responsible agents, even in cases when different agents are suspected. This strategy enables quick and cost effective detection of low probability events such as outbreak of a rare disease or intentional release of a biothreat agent.

Citation Download Citation

T. A. Leski, R. Ansumana, D. H. Jimmy, U. Bangura, A. P. Malanoski, B. Lin, and D. A. Stenger "Massively multiplexed microbial identification using resequencing DNA microarrays for outbreak investigation", Proc. SPIE 8029, Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring; and Biometric Technology for Human Identification VIII, 802904 (16 May 2011); https://doi.org/10.1117/12.884782

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