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Development of an Electrochemical DNA Biosensor to Detect a Foodborne Pathogen
Published on: June 3, 2018
How to diagnose a foodborne illness
Michael S Donnenberg1, Shivakumar Narayanan
1Department of Medicine, University of Maryland School of Medicine, 20 Penn Street, S243, Baltimore, MD 21201, USA; Department of Microbiology and Immunology, University of Maryland School of Medicine, 20 Penn Street, S243, Baltimore, MD 21201, USA; Medical Scientist Training Program, University of Maryland School of Medicine, 20 Penn Street, S243, Baltimore, MD 21201, USA.
Prompt diagnosis of foodborne infections is vital for patient and community health, preventing further spread. This article details diagnostic strategies, including pathogen clues and clinical features, to identify and manage these illnesses effectively.
Area of Science:
- Infectious Diseases
- Microbiology
- Public Health
Background:
- Foodborne infections pose significant risks to individual patients and the wider community.
- Early identification is crucial for controlling disease transmission and preventing outbreaks.
Purpose of the Study:
- To outline a comprehensive diagnostic approach for patients presenting with foodborne illness.
- To highlight key epidemiologic and clinical features aiding in the identification of various foodborne pathogens.
Main Methods:
- Discussion of diagnostic strategies, including indications for stool cultures and other stool tests.
- Exploration of nonculture-based identification methods and their clinical utility.
- Emphasis on molecular techniques like pulsed-field gel electrophoresis (PFGE) for pathogen typing.
- Highlighting the importance of large-scale data sharing for outbreak detection.
Main Results:
- Provides a framework for diagnosing foodborne infections based on pathogen-specific clues.
- Details the application and limitations of various diagnostic tools, from traditional cultures to advanced molecular methods.
- Underscores the value of PFGE in characterizing outbreaks and informing public health responses.
Conclusions:
- Effective diagnosis of foodborne infections requires a multi-faceted approach integrating clinical, epidemiological, and laboratory data.
- Timely and accurate diagnosis facilitates prompt intervention, limiting patient morbidity and community spread.
- Collaborative data sharing is essential for recognizing and managing large-scale foodborne disease outbreaks.
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