↓ Skip to main content

Serum and thyroid tissue level of let-7b and their correlation with TRAb in Graves’ disease

Overview of attention for article published in Journal of Translational Medicine, July 2018
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
14 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Serum and thyroid tissue level of let-7b and their correlation with TRAb in Graves’ disease
Published in
Journal of Translational Medicine, July 2018
DOI 10.1186/s12967-018-1565-9
Pubmed ID
Authors

Xinxin Chen, Fengjiao Huang, Yicheng Qi, Mengxi Zhou, Qinglei Yin, Ying Peng, Yulin Zhou, Guang Ning, Shu Wang

Abstract

Abnormal microRNAs (miRNAs) were reported to be involved in the mechanism of Graves' disease (GD). Dysregulated miRNAs may be overlapping in different cells and can be secreted to circulation. We chose miRNAs which were previously reported to be differentially expressed in peripheral blood mononuclear cells (PBMCs) in patients with GD with different disease stage, detected the expression of those miRNAs in serum, corroborated the findings in thyroid tissue, and validated the target gene in vitro to investigate the possible role of circulating miRNAs in GD. A total of 54 individuals with untreated GD, 12 individuals with GD in remission and 14 disease-free controls were enrolled. The expression of miR-142-3p, miR-154-3p, miR-431-3p, miR-590-5p, and let-7b was detected in the serum. Ten thyroid tissue samples from patients with GD and six disease-free thyroid samples were used for further validation. The potential target genes were identified and validated in vitro. miR-142-3p, miR-154-3p, miR-431-3p, miR-590-5p, and let-7b were present in serum and two of them (miR-142-3p and let-7b) were significantly increased in serum of patients with untreated GD (for serum miR-142-3p, P = 0.033, for serum let-7b, P = 0.026) and gradually decreased to normal levels in patients with GD in remission. Correlation analysis showed that let-7b level was strongly correlated with TRAb level (r = 0.305, P = 0.001). let-7b directly inhibited promyelocytic leukemia zinc finger (PLZF) expression and increased the expression of TSHR in thyroid cells in vitro. Furthermore, let-7b levels in GD thyroid tissue were found to be inversely correlated with PLZF levels (r = - 0.849, P = 0.033). Decreased PLZF and increased TSHR was validated in thyroid tissue in patients with GD. The present study confirmed that a portion of miRNAs in PBMCs were also presented and differentially expressed in serum and thyroid tissue. Upregulated in all these three compartments, let-7b may be used as a disease biomarker and therapeutic targets in patients with GD. Circulating let-7b had a strong correlation with disease severity and let-7b may participate in the production of TRAb via targeting PLZF in patients with GD.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 29%
Student > Master 2 14%
Unspecified 1 7%
Professor 1 7%
Other 1 7%
Other 2 14%
Unknown 3 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 21%
Agricultural and Biological Sciences 3 21%
Medicine and Dentistry 2 14%
Business, Management and Accounting 1 7%
Immunology and Microbiology 1 7%
Other 1 7%
Unknown 3 21%
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 06 July 2018.
All research outputs
#20,525,274
of 23,094,276 outputs
Outputs from Journal of Translational Medicine
#3,357
of 4,051 outputs
Outputs of similar age
#287,075
of 327,553 outputs
Outputs of similar age from Journal of Translational Medicine
#66
of 99 outputs
Altmetric has tracked 23,094,276 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 4,051 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 327,553 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.