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Serotonergic Regulation and Cognition after Stroke: The Role of Antidepressant Treatment and Genetic Variation

Overview of attention for article published in Cerebrovascular Diseases, March 2019
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Title
Serotonergic Regulation and Cognition after Stroke: The Role of Antidepressant Treatment and Genetic Variation
Published in
Cerebrovascular Diseases, March 2019
DOI 10.1159/000498911
Pubmed ID
Authors

Andreas Gammelgaard Damsbo, Kristian Lundsgaard Kraglund, Henriette Nørmølle Buttenschøn, Søren Paaske Johnsen, Grethe Andersen, Janne Kaergaard Mortensen

Abstract

Serotonin affects several brain functions including cognition. The serotonin transporter (SERT) regulates brain serotonin levels through reuptake into neurons. The gene encoding this transporter, the SERT gene, has several functional polymorphisms affecting the number of transporters and thereby the serotonin levels. SERT gene expression may be important for cognition and selective serotonin reuptake inhibitors (SSRI) may improve cognition post stroke. We therefore examined the association between SERT genotypes, cognitive function and early treatment with the SSRI citalopram among non-depressed Caucasian stroke patients. SERT gene polymorphisms in 270 non-depressed first-ever acute ischemic stroke patients randomized to citalopram, n = 130, or placebo, n = 140, were investigated. Patients were genotyped for a length polymorphism (L = long and S = short allele) and a single nucleotide polymorphism (A/G substitution) dividing the L-allele into LA and LG. According to these genotypes, patients were further grouped according to low (S/S, LG/S and LG/LG), medium (S/LA and LG/LA), or high functional gene expression (LALA). Cognition was measured by the Symbol Digit Modalities Test (SDMT) at 1 and 6 months. Mean SDMT scores according to genotype and randomization groups were compared using multiple logistic regression adjusting for age, stroke severity, premorbid functional status, and vascular risk factors including smoking, hypertension, and diabetes. Stratified by genotype groups, there were no statistically significant differences in SDMT scores between randomization groups. Placebo-treated patients with low SERT expression genotypes, however, tended to have lower mean SDMT scores (at 1 month: 30.2, SD 10.8) compared to citalopram-treated patients (33.6, SD 13.7). Within the placebo group, the low genotype expression patients had significantly lower adjusted mean SDMT scores at 1 month compared to the high genotype expression patients (adjusted mean difference of -6 points, CI -12.0 to -0.05). We found similar results at 6 months, although not statistically significant. The genotype expression was not associated with SDMT scores among citalopram-treated patients. There was no difference in cognition between citalopram and placebo-treated patients according to the genotype group. Our results indicate, however, that low expression SERT genotype may contribute to reduced cognitive function post stroke as placebo-treated patients with low SERT expression tended to score lower on the SDMT. The significant difference in SDMT scores between low and high expression patients was present only in the placebo-treated group, thereby warranting further exploration of the potential effect of early citalopram treatment on cognitive functioning. Our results are preliminary and need replication in larger-scale studies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 18%
Student > Bachelor 13 17%
Researcher 9 12%
Student > Master 8 10%
Student > Doctoral Student 3 4%
Other 7 9%
Unknown 24 31%
Readers by discipline Count As %
Medicine and Dentistry 14 18%
Nursing and Health Professions 10 13%
Psychology 10 13%
Biochemistry, Genetics and Molecular Biology 5 6%
Neuroscience 4 5%
Other 9 12%
Unknown 26 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 09 March 2019.
All research outputs
#16,164,559
of 25,547,904 outputs
Outputs from Cerebrovascular Diseases
#678
of 1,120 outputs
Outputs of similar age
#212,251
of 366,447 outputs
Outputs of similar age from Cerebrovascular Diseases
#3
of 4 outputs
Altmetric has tracked 25,547,904 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,120 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 37th percentile – i.e., 37% 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 366,447 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.