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Association Between BDNF Gene Variant Rs6265 and the Severity of Depression in Antidepressant Treatment-Free Depressed Patients

Overview of attention for article published in Frontiers in Psychiatry, February 2020
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Title
Association Between BDNF Gene Variant Rs6265 and the Severity of Depression in Antidepressant Treatment-Free Depressed Patients
Published in
Frontiers in Psychiatry, February 2020
DOI 10.3389/fpsyt.2020.00038
Pubmed ID
Authors

Innokentiy S. Losenkov, Nathaniël J. V. Mulder, Lyudmila A. Levchuk, Natalya M. Vyalova, Anton J. M. Loonen, Fokko J. Bosker, German G. Simutkin, Anastasiia S. Boiko, Nikolay A. Bokhan, Bob Wilffert, Eelko Hak, Amand F. Schmidt, Svetlana A. Ivanova

Abstract

Brain-derived neurotrophic factor (BDNF) plays an important role in neuronal plasticity, and its dysregulation has been associated with the pathogenesis of mood and anxiety disorders. Prolactin (PRL) is a pituitary hormone which is also produced as a cytokine by immune cells and could be a neurotrophic factor regulating the functional activity of stress-related mechanisms. To investigate the possible relationship between depressive state and BDNF and PRL genotypes or levels with special reference to severity of depression. Participants of 18-70 years with a clinical diagnosis of depressive disorder of at least moderate severity were included. These patients had not been treated with antidepressant drugs before admission to hospital during the preceding period of the last 6 months, and 54.5% had never been treated with antidepressant drugs during their entire life. The DNA was genotyped for rs1341239 within the prolactin and for rs6265, rs7124442, and rs11030104 within the BDNF gene. Rs11030104 violated the Hardy-Weinberg equilibrium distribution and was excluded from further analyses. BDNF and prolactin concentration was measured in serum by MAGPIX multiplex analyzer (Luminex, USA) using MILLIPLEX® MAP kit (Merck, Germany). Genetic associations were determined by sequentially regressing prolactin, BDNF, 17-items Hamilton's Depression (HAMD-17) and Clinical Global Impression scale, Severity (CGI-S) ratings, and depression (absent/present) on the available SNPs. Genetic associations were evaluated assuming an additive model. A total of 186 depressed patients (of which 169 were women) and 94 healthy controls (67 women) were genotyped. After excluding subjects without genetic information on all three study SNPs, 217 remained of whom 138 suffered from depression. Within depressed patients we observed an association of rs6265 with HAMD-17: mean difference (MD) 2.33 (95%CI 0.49; 4.16; p = 0.014) and CGI-S: MD 0.38 (95%CI 0.09; 0.66; p = 0.011). No significant association was observed between the prolactin SNP rs1341239 and prolactin levels. Similarly the mean differences of BDNF SNPs did not show an association with BDNF: rs6265 -0.042 ln(pg/ml) (95%CI -0.198; 0.113), and rs7124442 0.006 ln(pg/ml) (95%CI -0.117; 0.130). No other association reached statistical significance. We observed a significant association between BDNF gene variant rs6265 and the severity of depression in newly admitted, antidepressant treatment-free, depressed patients. Actual PRL and BDNF levels were not elevated sufficiently in depressed patients to reach statistical significance and were not associated with the studied genotypes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 16%
Student > Master 7 12%
Student > Bachelor 7 12%
Student > Postgraduate 3 5%
Professor > Associate Professor 3 5%
Other 8 14%
Unknown 20 35%
Readers by discipline Count As %
Medicine and Dentistry 8 14%
Biochemistry, Genetics and Molecular Biology 6 11%
Neuroscience 6 11%
Psychology 5 9%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Other 8 14%
Unknown 21 37%
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 07 May 2020.
All research outputs
#18,712,246
of 23,192,960 outputs
Outputs from Frontiers in Psychiatry
#7,077
of 10,326 outputs
Outputs of similar age
#334,336
of 456,484 outputs
Outputs of similar age from Frontiers in Psychiatry
#250
of 327 outputs
Altmetric has tracked 23,192,960 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,326 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. 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 327 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.