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Renin-angiotensin system gene polymorphisms as risk factors for multiple sclerosis

Overview of attention for article published in Journal of the Neurological Sciences, February 2016
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Title
Renin-angiotensin system gene polymorphisms as risk factors for multiple sclerosis
Published in
Journal of the Neurological Sciences, February 2016
DOI 10.1016/j.jns.2016.02.026
Pubmed ID
Authors

Maja Živković, Ana Kolaković, Ljiljana Stojković, Evica Dinčić, Smiljana Kostić, Dragan Alavantić, Aleksandra Stanković

Abstract

The components of renin-angiotensin system, such as angiotensin-converting enzyme (ACE), angiotensin II and angiotensin II receptor type 1 and 2 (AT1R and AT2R), are expressed in the central nervous system and leukocytes and proposed to be involved in the inflammation and pathogenesis of multiple sclerosis (MS). ACE I/D, AT1R 1166A/C and AT2R -1332A/G are functional polymorphisms associated with phenotypes of diverse chronic inflammatory diseases. The aim of this study was to investigate the association between ACE I/D, AT1R 1166A/C and AT2R -1332A/G gene polymorphisms and MS in Serbian population. A total of 470 MS patients and 478 controls participated in the study. Allele-specific polymerase chain reaction (PCR) was performed for genotyping of the ACE polymorphism. The AT1R and AT2R genotyping was done by duplex PCR and restriction fragment length polymorphism analysis. Both ACE homozygotes, II and DD, were significantly overrepresented in MS patients, compared to controls (χ(2) test p=0.03). Neither genotype nor allele frequencies of AT1R 1166A/C polymorphism were significantly different between patients and controls. Significant overrepresentation of AT2R -1332 AA genotype in female patients, compared to female controls, was detected (OR=1.67, 95%CI=1.13-2.49, χ(2) test p=0.01), suggesting that this genotype could be a gender-specific genetic risk factor for MS.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 12%
Professor 2 8%
Student > Doctoral Student 2 8%
Researcher 2 8%
Student > Ph. D. Student 2 8%
Other 5 20%
Unknown 9 36%
Readers by discipline Count As %
Medicine and Dentistry 5 20%
Neuroscience 3 12%
Unspecified 1 4%
Agricultural and Biological Sciences 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 2 8%
Unknown 12 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 24 March 2016.
All research outputs
#22,756,649
of 25,371,288 outputs
Outputs from Journal of the Neurological Sciences
#4,738
of 5,250 outputs
Outputs of similar age
#351,062
of 409,908 outputs
Outputs of similar age from Journal of the Neurological Sciences
#93
of 116 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,250 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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