| Title |
MiR-346 regulates CD4+CXCR5+ T cells in the pathogenesis of Graves’ disease
|
|---|---|
| Published in |
Endocrine, February 2015
|
| DOI | 10.1007/s12020-015-0546-5 |
| Pubmed ID | |
| Authors |
Juan Chen, Jie Tian, Xinyi Tang, Ke Rui, Jie Ma, Chaoming Mao, Yingzhao Liu, Liwei Lu, Huaxi Xu, Shengjun Wang |
| Abstract |
Follicular helper T (Tfh) cells are increasingly recognized as participants in various autoimmune diseases, including Graves' disease. Although many transcription factors and cytokines are known to regulate Tfh cells, the role of noncoding RNA in Tfh cells development and function is poorly understood. Twenty-three patients with GD, eleven patients with remitting GD, and twenty-four healthy controls were enrolled in the current study. The interaction of miRNA and target gene was predicted through software analysis and then validated by luciferase assay and Western blot. The levels of miR-346 in circulating CD4(+) T cells and plasma were measured by qRT-PCR. The correlation of miR-346 levels with the percentages of CD4(+)CXCR5(+)T cells and autoantibody levels were also analyzed. Up-regulation of Bcl-6 and down-regulation of miR-346 in GD patients were observed, and miR-346 could inhibit Bcl-6 at both transcriptional and translational levels. Overexpression of miR-346 led to attenuating CD4(+)CXCR5(+) T cells. The abnormal expression of miR-346 restored in GD patients after treatment. A negative correlation between levels of miR-346 and percentages of CD4(+)CXCR5(+) T cells was confirmed in GD patients. Additionally, negative correlations between the levels of miR-346 in circulating CD4(+) T cells and serum concentrations of TR-Ab, TG-Ab, and TPO-Ab were also revealed in GD patients. MiR-346 regulates CD4(+)CXCR5(+) T cells by targeting Bcl-6, a positive regulator of Tfh cells, and might play an important role in the pathogenesis of Graves' disease. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 19% |
| Student > Ph. D. Student | 3 | 19% |
| Researcher | 2 | 13% |
| Other | 1 | 6% |
| Professor > Associate Professor | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 6 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 19% |
| Agricultural and Biological Sciences | 2 | 13% |
| Medicine and Dentistry | 2 | 13% |
| Immunology and Microbiology | 1 | 6% |
| Business, Management and Accounting | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 7 | 44% |
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 11 February 2015.
All research outputs
#20,259,335
of 22,789,076 outputs
Outputs from Endocrine
#1,359
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Outputs of similar age
#301,193
of 357,790 outputs
Outputs of similar age from Endocrine
#24
of 32 outputs
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