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The association between BDNF Val66Met polymorphism and emotional symptoms after mild traumatic brain injury

Overview of attention for article published in BMC Medical Genetics, January 2018
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Title
The association between BDNF Val66Met polymorphism and emotional symptoms after mild traumatic brain injury
Published in
BMC Medical Genetics, January 2018
DOI 10.1186/s12881-017-0518-0
Pubmed ID
Authors

Yu-Jia Wang, Kai-Yun Chen, Li-Na Kuo, Wen-Chang Wang, Yu-Wen Hsu, Henry Sung-Ching Wong, Chien-Min Lin, Kuo-Hsing Liao, Yan-Feng Zhang, Yung-Hsiao Chiang, Wei-Chiao Chang

Abstract

Brain-derived neurotrophic factor (BDNF) is one of the most abundant neurotrophins in the adult brain, and it plays important roles in modulating synaptic plasticity and synaptogenesis. This study attempted to elucidate the role of the BDNF variant rs6265 in emotional symptoms following mild traumatic brain injury (mTBI). To investigate the association between BDNF Val66Met polymorphism (rs6265) and emotional symptoms in mTBI patients, we recruited 192 mTBI patients and evaluated their Beck Anxiety Inventory (BAI) and Beck Depression Inventory (BDI) scores in the first and sixth week after mTBI. The patients carrying the T allele of rs6265 had significantly higher BAI scores in the first week following mTBI. In addition, the patients carrying the T allele also showed higher scores of BDI in the first week. In the gender-specific subgroup analysis, the male patients carrying the T allele of rs6265 had higher scores of both BAI and BDI in the first and sixth week. Meanwhile, female patients carrying the T allele also had significantly higher scores of BDI in the first week following mTBI. This study provides evidence for the association between the BDNF variant rs6265 and emotional symptoms following mTBI.

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 18%
Researcher 8 16%
Student > Ph. D. Student 7 14%
Student > Master 4 8%
Student > Doctoral Student 4 8%
Other 9 18%
Unknown 10 20%
Readers by discipline Count As %
Psychology 9 18%
Medicine and Dentistry 6 12%
Biochemistry, Genetics and Molecular Biology 5 10%
Neuroscience 5 10%
Social Sciences 3 6%
Other 8 16%
Unknown 15 29%

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 January 2018.
All research outputs
#11,063,109
of 12,444,666 outputs
Outputs from BMC Medical Genetics
#595
of 735 outputs
Outputs of similar age
#286,706
of 339,195 outputs
Outputs of similar age from BMC Medical Genetics
#1
of 1 outputs
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