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Arch-shaped multiple-target sensing for rapid diagnosis and identification of emerging infectious pathogens.

ABSTRACT: Rapid identification of emerging infectious pathogens is crucial for preventing public health threats. Various pathogen detection techniques have been introduced; however, most techniques are time-consuming and lack multiple-target detection specificity. Although multiple-target detection techniques can distinguish emerging infectious pathogens from related pathogens, direct amplification methods have not been widely examined. Here, we present a novel arch-shaped multiple-target sensor capable of rapid pathogen identification using direct amplification in clinical samples. In this study, an arch-shaped amplification containing primer sequences was designed to rapidly amplify multiple targets. Further, the sensing platform allowed for sensitive and specific detection of human coronavirus, Middle East respiratory syndrome, Zika virus, and Ebola virus down to several copies. This platform also simultaneously distinguished between Middle East respiratory syndrome and human coronavirus in clinical specimens within 20?min. This arch-shaped multiple-target sensing assay can provide rapid, sensitive, and accurate diagnoses of emerging infectious diseases in clinical applications.

SUBMITTER: Koo B

PROVIDER: S-EPMC7126750 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature

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Arch-shaped multiple-target sensing for rapid diagnosis and identification of emerging infectious pathogens.

Koo Bonhan B Hong Ki Ho KH Jin Choong Eun CE Kim Ji Yeun JY Kim Sung-Han SH Shin Yong Y

Biosensors & bioelectronics 20180808

Rapid identification of emerging infectious pathogens is crucial for preventing public health threats. Various pathogen detection techniques have been introduced; however, most techniques are time-consuming and lack multiple-target detection specificity. Although multiple-target detection techniques can distinguish emerging infectious pathogens from related pathogens, direct amplification methods have not been widely examined. Here, we present a novel arch-shaped multiple-target sensor capable o ...[more]

PMID: 30103157

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Project description:Many studies have been devoted to understand the mechanisms used by pathogenic bacteria to exploit human hosts. These mechanisms are very diverse in the detail, but share commonalities whose quantification should enlighten the evolution of virulence from both a molecular and an ecological perspective. We mined the literature for experimental data on infectious dose of bacterial pathogens in humans (ID50) and also for traits with which ID50 might be associated. These compilations were checked and complemented with genome analyses. We observed that ID50 varies in a continuous way by over 10 orders of magnitude. Low ID50 values are very strongly associated with the capacity of the bacteria to kill professional phagocytes or to survive in the intracellular milieu of these cells. Inversely, high ID50 values are associated with motile and fast-growing bacteria that use quorum-sensing based regulation of virulence factors expression. Infectious dose is not associated with genome size and shows insignificant phylogenetic inertia, in line with frequent virulence shifts associated with the horizontal gene transfer of a small number of virulence factors. Contrary to previous proposals, infectious dose shows little dependence on contact-dependent secretion systems and on the natural route of exposure. When all variables are combined, immune subversion and quorum-sensing are sufficient to explain two thirds of the variance in infectious dose. Our results show the key role of immune subversion in effective human infection by small bacterial populations. They also suggest that cooperative processes might be important for successful infection by bacteria with high ID50. Our results suggest that trade-offs between selection for population growth-related traits and selection for the ability to subvert the immune system shape bacterial infectiousness. Understanding these trade-offs provides guidelines to study the evolution of virulence and in particular the micro-evolutionary paths of emerging pathogens.

Dataset Information

Arch-shaped multiple-target sensing for rapid diagnosis and identification of emerging infectious pathogens.

Publications

Arch-shaped multiple-target sensing for rapid diagnosis and identification of emerging infectious pathogens.

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