↓ Skip to main content

Connecting inflammation with glutamate agonism in suicidality

Overview of attention for article published in Neuropsychopharmacology, December 2012
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
26 X users
patent
1 patent
facebook
6 Facebook pages

Citations

dimensions_citation
283 Dimensions

Readers on

mendeley
309 Mendeley
citeulike
1 CiteULike
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
Connecting inflammation with glutamate agonism in suicidality
Published in
Neuropsychopharmacology, December 2012
DOI 10.1038/npp.2012.248
Pubmed ID
Authors

Sophie Erhardt, Chai K Lim, Klas R Linderholm, Shorena Janelidze, Daniel Lindqvist, Martin Samuelsson, Kristina Lundberg, Teodor T Postolache, Lil Träskman-Bendz, Gilles J Guillemin, Lena Brundin

Abstract

The NMDA-receptor antagonist ketamine has proven efficient in reducing symptoms of suicidality, although the mechanisms explaining this effect have not been detailed in psychiatric patients. Recent evidence points towards a low-grade inflammation in brains of suicide victims. Inflammation leads to production of quinolinic acid (QUIN) and kynurenic acid (KYNA), an agonist and antagonist of the glutamatergic N-methyl-D-aspartate (NMDA) receptor, respectively. We here measured QUIN and KYNA in the cerebrospinal fluid (CSF) of 64 medication-free suicide attempters and 36 controls, using gas chromatography mass spectrometry and high-performance liquid chromatography. We assessed the patients clinically using the Suicide Intent Scale and the Montgomery-Asberg Depression Rating Scale (MADRS). We found that QUIN, but not KYNA, was significantly elevated in the CSF of suicide attempters (P<0.001). As predicted, the increase in QUIN was associated with higher levels of CSF interleukin-6. Moreover, QUIN levels correlated with the total scores on Suicide Intent Scale. There was a significant decrease of QUIN in patients who came for follow-up lumbar punctures within 6 months after the suicide attempt. In summary, we here present clinical evidence of increased QUIN in the CSF of suicide attempters. An increased QUIN/KYNA quotient speaks in favor of an overall NMDA-receptor stimulation. The correlation between QUIN and the Suicide Intent Scale indicates that changes in glutamatergic neurotransmission could be specifically linked to suicidality. Our findings have important implications for the detection and specific treatment of suicidal patients, and might explain the observed remedial effects of ketamine.

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 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 309 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
Portugal 1 <1%
Germany 1 <1%
Australia 1 <1%
Austria 1 <1%
Denmark 1 <1%
Israel 1 <1%
Unknown 300 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 46 15%
Researcher 45 15%
Student > Ph. D. Student 44 14%
Student > Master 41 13%
Student > Doctoral Student 22 7%
Other 46 15%
Unknown 65 21%
Readers by discipline Count As %
Medicine and Dentistry 70 23%
Neuroscience 48 16%
Agricultural and Biological Sciences 31 10%
Psychology 30 10%
Biochemistry, Genetics and Molecular Biology 20 6%
Other 27 9%
Unknown 83 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 53. 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 2024.
All research outputs
#817,483
of 25,848,962 outputs
Outputs from Neuropsychopharmacology
#357
of 5,224 outputs
Outputs of similar age
#5,828
of 288,638 outputs
Outputs of similar age from Neuropsychopharmacology
#4
of 66 outputs
Altmetric has tracked 25,848,962 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,224 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.4. This one has done particularly well, scoring higher than 93% 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 288,638 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 97% of its contemporaries.
We're also able to compare this research output to 66 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 93% of its contemporaries.