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Associations of estradiol levels and genetic polymorphisms of inflammatory genes with the risk of ischemic stroke

Overview of attention for article published in Journal of Biomedical Science, March 2017
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Title
Associations of estradiol levels and genetic polymorphisms of inflammatory genes with the risk of ischemic stroke
Published in
Journal of Biomedical Science, March 2017
DOI 10.1186/s12929-017-0332-1
Pubmed ID
Authors

Yi-Chen Hsieh, Fang-I Hsieh, Yih-Ru Chen, Chaur-Jong Hu, Jiann-Shing Jeng, Sung-Chun Tang, Nai-Fang Chi, Huey-Juan Lin, Li-Ming Lien, Giia-Sheun Peng, Hung-Yi Chiou, for the Formosa Stroke Genetic Consortium (FSGC)

Abstract

Estrogen plays an important role as an anti-inflammatory and neuroprotective agent in ischemic stroke. In this study, we analyzed the effect of a polygenic risk score (PRS) constructed using inflammatory genes and estradiol levels on the risk of ischemic stroke. This case-control study was conducted with 624 ischemic stroke patients and 624 age- and gender-matched controls. The PRS estimated the polygenic contribution of inflammatory genes from ischemic stroke susceptibility loci. Estradiol levels were measured using a radioimmunoassay. High and low estradiol levels were defined according to the log-transformed median estradiol levels in female and male controls. Subjects in the fourth quartile of the PRS had a significant 1.57-fold risk of ischemic stroke (95% confidence interval [CI], 1.12 ~ 2.19), after adjusting for covariates compared to individuals in the lowest quartile. Compared to individuals with high estradiol levels and a low PRS as the reference group, those exposed to low estradiol levels and a high PRS had an increased risk of ischemic stroke (odds ratio, 3.35; 95% CI, 1.79 ~ 6.28). Similar results were also observed in males when the analysis was stratified by gender. Our data suggest that the PRS can be useful in evaluating a high risk of ischemic stroke among patients, especially those exposed to low estradiol levels.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 17%
Student > Bachelor 3 13%
Professor 3 13%
Student > Ph. D. Student 3 13%
Professor > Associate Professor 2 8%
Other 3 13%
Unknown 6 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 25%
Medicine and Dentistry 4 17%
Neuroscience 3 13%
Agricultural and Biological Sciences 1 4%
Psychology 1 4%
Other 1 4%
Unknown 8 33%
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 31 March 2017.
All research outputs
#17,289,387
of 25,382,440 outputs
Outputs from Journal of Biomedical Science
#753
of 1,101 outputs
Outputs of similar age
#206,397
of 322,922 outputs
Outputs of similar age from Journal of Biomedical Science
#10
of 14 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,101 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.