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VacA, cagA, iceA and oipA genotypes status and antimicrobial resistance properties of Helicobacter pylori isolated from various types of ready to eat foods

Overview of attention for article published in Annals of Clinical Microbiology and Antimicrobials, January 2016
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Title
VacA, cagA, iceA and oipA genotypes status and antimicrobial resistance properties of Helicobacter pylori isolated from various types of ready to eat foods
Published in
Annals of Clinical Microbiology and Antimicrobials, January 2016
DOI 10.1186/s12941-015-0115-z
Pubmed ID
Authors

Behsan Hemmatinezhad, Hassan Momtaz, Ebrahim Rahimi

Abstract

Despite the high clinical standing of Helicobacter pylori, its exact routes of transmission and origin have not been determined. Based on the contentious hypothesis, foods play an important roles in the transmission of H. pylori to humans. The present study was carried out to investigate the vacA, cagA, oipA and iceA genotypes status of H. pylori isolated from the various types of ready to eat foods. A total of 550 ready to eat food samples were cultured and tested. H. pylori-positive strains were analyzed for the presence of various genotypes and antimicrobial resistance pattern. Seventy four out of 550 (13.45 %) samples were positive for H. pylori. Olvie salad (36 %), restaurant salad (30 %), fruit salad (28 %) and soup (22 %) were the most commonly contaminated. H. pylori strains harbored the highest levels of resistance against amoxicillin (94.59 %), ampicillin (93.24 %), metronidazole (89.18 %) and tetracycline (72.97 %). The most commonly detected genotypes were vacA s1a (78.37 %), vacA m2 (75.67 %), vacA m1a (51.35 %) and cagA (41.89 %). The prevalence of iceA1, iceA2 and oipA genotypes were 13.51, 4.05 and 18.91 %, respectively. S1am2 (70.27 %), s1am1a (39.18 %) and m1am2 (31.08 %) were the most commonly detected combined genotypes. Of 40 different genotypic combinations, s1a/cagA+/iceA1/oipA- (12.16 %), s1a/cagA+/iceA1/oipA+ (10.81 %) and s1a/cagA-/iceA1/oipA+ (10.81 %) were the most prevalent. The present investigation showed that some types of ready to eat food samples maybe the sources of resistant and virulent strains of H. pylori. Warily use of antibiotics with respect to the results of disk diffusion method and careful health monitoring on food and staffs of food producing companies maybe reduce the risk of H. pylori in foods.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Thailand 1 1%
Unknown 78 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 15%
Researcher 9 11%
Student > Ph. D. Student 8 10%
Student > Master 8 10%
Librarian 2 3%
Other 13 16%
Unknown 27 34%
Readers by discipline Count As %
Medicine and Dentistry 9 11%
Veterinary Science and Veterinary Medicine 8 10%
Immunology and Microbiology 7 9%
Biochemistry, Genetics and Molecular Biology 7 9%
Agricultural and Biological Sciences 6 8%
Other 9 11%
Unknown 33 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 06 April 2016.
All research outputs
#13,964,379
of 22,842,950 outputs
Outputs from Annals of Clinical Microbiology and Antimicrobials
#264
of 608 outputs
Outputs of similar age
#200,237
of 394,770 outputs
Outputs of similar age from Annals of Clinical Microbiology and Antimicrobials
#13
of 27 outputs
Altmetric has tracked 22,842,950 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 608 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 53% 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 394,770 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.