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An enzyme in the kynurenine pathway that governs vulnerability to suicidal behavior by regulating excitotoxicity and neuroinflammation

Overview of attention for article published in Translational Psychiatry, August 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

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17 news outlets
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5 blogs
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23 X users
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3 Facebook pages
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1 Google+ user
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2 Redditors

Citations

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140 Dimensions

Readers on

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184 Mendeley
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Title
An enzyme in the kynurenine pathway that governs vulnerability to suicidal behavior by regulating excitotoxicity and neuroinflammation
Published in
Translational Psychiatry, August 2016
DOI 10.1038/tp.2016.133
Pubmed ID
Authors

L Brundin, C M Sellgren, C K Lim, J Grit, E Pålsson, M Landén, M Samuelsson, K Lundgren, P Brundin, D Fuchs, T T Postolache, L Traskman-Bendz, G J Guillemin, S Erhardt

Abstract

Emerging evidence suggests that inflammation has a key role in depression and suicidal behavior. The kynurenine pathway is involved in neuroinflammation and regulates glutamate neurotransmission. In the cerebrospinal fluid (CSF) of suicidal patients, levels of inflammatory cytokines and the kynurenine metabolite quinolinic acid (QUIN), an N-methyl-d-aspartate receptor agonist, are increased. The enzyme amino-β-carboxymuconate-semialdehyde-decarboxylase (ACMSD) limits QUIN formation by competitive production of the neuroprotective metabolite picolinic acid (PIC). Therefore, decreased ACMSD activity can lead to excess QUIN. We tested the hypothesis that deficient ACMSD activity underlies suicidal behavior. We measured PIC and QUIN in CSF and plasma samples from 137 patients exhibiting suicidal behavior and 71 healthy controls. We used DSM-IV and the Montgomery-Åsberg Depression Rating Scale and Suicide Assessment Scale to assess behavioral changes. Finally, we genotyped ACMSD tag single-nucleotide polymorphisms (SNPs) in 77 of the patients and 150 population-based controls. Suicide attempters had reduced PIC and a decreased PIC/QUIN ratio in both CSF (P<0.001) and blood (P=0.001 and P<0.01, respectively). The reductions of PIC in CSF were sustained over 2 years after the suicide attempt based on repeated measures. The minor C allele of the ACMSD SNP rs2121337 was more prevalent in suicide attempters and associated with increased CSF QUIN. Taken together, our data suggest that increased QUIN levels may result from reduced activity of ACMSD in suicidal subjects. We conclude that measures of kynurenine metabolites can be explored as biomarkers of suicide risk, and that ACMSD is a potential therapeutic target in suicidal behavior.

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 X users 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 184 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Unknown 182 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 15%
Student > Master 24 13%
Student > Bachelor 24 13%
Researcher 21 11%
Student > Doctoral Student 15 8%
Other 35 19%
Unknown 38 21%
Readers by discipline Count As %
Neuroscience 39 21%
Medicine and Dentistry 29 16%
Agricultural and Biological Sciences 16 9%
Biochemistry, Genetics and Molecular Biology 16 9%
Psychology 13 7%
Other 24 13%
Unknown 47 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 171. 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 19 February 2021.
All research outputs
#240,552
of 25,654,806 outputs
Outputs from Translational Psychiatry
#114
of 3,721 outputs
Outputs of similar age
#4,821
of 382,622 outputs
Outputs of similar age from Translational Psychiatry
#2
of 52 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,721 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.3. This one has done particularly well, scoring higher than 96% of its peers.
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 382,622 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.