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Circulating microRNA-1a is a biomarker of Graves’ disease patients with atrial fibrillation

Overview of attention for article published in Endocrine, May 2017
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Title
Circulating microRNA-1a is a biomarker of Graves’ disease patients with atrial fibrillation
Published in
Endocrine, May 2017
DOI 10.1007/s12020-017-1331-4
Pubmed ID
Authors

Fang Wang, Sheng-jie Zhang, Xuan Yao, Dong-mei Tian, Ke-qin Zhang, Dun-min She, Fei-fan Guo, Qi-wei Zhai, Hao Ying, Ying Xue

Abstract

It has been increasingly suggested that specific microRNAs expression profiles in the circulation and atrial tissue are associated with the susceptibility to atrial fibrillation. Nonetheless, the role of circulating microRNAs in Graves' disease patients with atrial fibrillation has not yet been well described. The objective of the study was to identify the role of circulating microRNAs as specific biomarkers for the diagnosis of Graves' disease with atrial fibrillation. The expression profiles of eight serum microRNAs, which are found to be critical in the pathogenesis of atrial fibrillation, were determined in patients with Graves' disease with or without atrial fibrillation. MicroRNA expression analysis was performed by real-time PCR in normal control subjects (NC; n = 17), patients with Graves' disease without atrial fibrillation (GD; n = 29), patients with Graves' disease with atrial fibrillation (GD + AF; n = 14), and euthyroid patients with atrial fibrillation (AF; n = 22). Three of the eight serum microRNAs,i.e., miR-1a, miR-26a, and miR-133, had significantly different expression profiles among the four groups. Spearman's correlation analysis showed that the relative expression level of miR-1a was positively correlated with free triiodothyronine (FT3) and free thyroxine (FT4), and negatively related to thyroid stimulating hormone. Spearman's correlations analysis also revealed that the level of miR-1a was negatively correlated with a critical echocardiographic parameter (left atrial diameter), which was dramatically increased in GD + AF group compared to GD group. Furthermore, the receiver-operating characteristic curve analysis indicated that, among the eight microRNAs, miR-1a had the largest area under the receiver-operating characteristic curves not only for discriminating between individuals with and without Graves' disease, but also for predicting the presence of atrial fibrillation in patients with Graves' disease. Our findings showed that the levels of serum miR-1a were significantly decreased in GD + AF group compared with GD group, suggesting that serum miR-1a might serve as a novel biomarker for diagnosis of atrial fibrillation in patients with Graves' disease.

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Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 20%
Student > Bachelor 2 20%
Student > Doctoral Student 1 10%
Lecturer > Senior Lecturer 1 10%
Student > Ph. D. Student 1 10%
Other 1 10%
Unknown 2 20%
Readers by discipline Count As %
Medicine and Dentistry 4 40%
Biochemistry, Genetics and Molecular Biology 1 10%
Chemistry 1 10%
Social Sciences 1 10%
Unknown 3 30%
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 27 May 2017.
All research outputs
#20,514,440
of 23,081,466 outputs
Outputs from Endocrine
#1,382
of 1,704 outputs
Outputs of similar age
#273,165
of 313,851 outputs
Outputs of similar age from Endocrine
#20
of 24 outputs
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