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An Innovative Method for Rapid Identification and Detection of Vibrio alginolyticus in Different Infection Models

Overview of attention for article published in Frontiers in Microbiology, May 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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Title
An Innovative Method for Rapid Identification and Detection of Vibrio alginolyticus in Different Infection Models
Published in
Frontiers in Microbiology, May 2016
DOI 10.3389/fmicb.2016.00651
Pubmed ID
Authors

Kaifei Fu, Jun Li, Yuxiao Wang, Jianfei Liu, He Yan, Lei Shi, Lijun Zhou

Abstract

Vibrio alginolyticus is one of the most common pathogenic marine Vibrio species, and has been found to cause serious seafood-poisoning or fatal extra-intestinal infections in humans, such as necrotizing soft-tissue infections, bacteremia, septic shock, and multiple organ failures. Delayed accurate diagnosis and treatment of most Vibrio infections usually result to high mortality rates. The objective of this study was to establish a rapid diagnostic method to detect and identify the presence of V. alginolyticus in different samples, so as to facilitate timely treatment. The widely employed conventional methods for detection of V. alginolyticus include biochemical identification and a variety of PCR methods. The former is of low specificity and time-consuming (2-3 days), while the latter has improved accuracy and processing time. Despite such advancements, these methods are still complicated, time-consuming, expensive, require expertise and advanced laboratory systems, and are not optimal for field use. With the goal of providing a simple and efficient way to detect V. alginolyticus, we established a rapid diagnostic method based on loop-mediated Isothermal amplification (LAMP) technology that is feasible to use in both experimental and field environments. Three primer pairs targeting the toxR gene of V. alginolyticus were designed, and amplification was carried out in an ESE tube scanner and Real-Time PCR device. We successfully identified 93 V. alginolyticus strains from a total of 105 different bacterial isolates and confirmed their identity by 16s rDNA sequencing. We also applied this method on infected mouse blood and contaminated scallop samples, and accurate results were both easily and rapidly (20-60 min) obtained. Therefore, the RT-LAMP assay we developed can be conveniently used to detect the presence of V. alginolyticus in different samples. Furthermore, this method will also fulfill the gap for real-time screening of V. alginolyticus infections especially while on field.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 1%
Unknown 72 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 18%
Student > Bachelor 8 11%
Student > Ph. D. Student 7 10%
Researcher 6 8%
Unspecified 3 4%
Other 9 12%
Unknown 27 37%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 19%
Biochemistry, Genetics and Molecular Biology 10 14%
Immunology and Microbiology 6 8%
Medicine and Dentistry 5 7%
Unspecified 3 4%
Other 8 11%
Unknown 27 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 February 2020.
All research outputs
#2,219,449
of 22,869,263 outputs
Outputs from Frontiers in Microbiology
#1,741
of 24,883 outputs
Outputs of similar age
#37,834
of 298,725 outputs
Outputs of similar age from Frontiers in Microbiology
#70
of 582 outputs
Altmetric has tracked 22,869,263 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,883 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done particularly well, scoring higher than 92% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 298,725 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 582 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.