↓ Skip to main content

Proteomic Differences in Blood Plasma Associated with Antidepressant Treatment Response

Overview of attention for article published in Frontiers in Molecular Neuroscience, August 2017
Altmetric Badge

Mentioned by

twitter
2 X users
facebook
1 Facebook page

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
46 Mendeley
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
Proteomic Differences in Blood Plasma Associated with Antidepressant Treatment Response
Published in
Frontiers in Molecular Neuroscience, August 2017
DOI 10.3389/fnmol.2017.00272
Pubmed ID
Authors

Christoph W. Turck, Paul C. Guest, Giuseppina Maccarrone, Marcus Ising, Stefan Kloiber, Susanne Lucae, Florian Holsboer, Daniel Martins-de-Souza

Abstract

The current inability of clinical psychiatry to objectively select the most appropriate treatment is a major factor contributing to the severity and clinical burden of major depressive disorder (MDD). Here, we have attempted to identify plasma protein signatures in 39 MDD patients to predict response over a 6-week treatment period with antidepressants. LC-MS/MS analysis showed that differences in the levels of 29 proteins at baseline were found in the group with a favorable treatment outcome. Most of these proteins were components of metabolism or immune response pathways as well as multiple components of the coagulation cascade. After 6 weeks of treatment, 43 proteins were altered in responders of which 2 (alpha-actinin and nardilysin) had been identified at baseline. In addition, 46 proteins were altered in non-responders and 9 of these (alpha-actinin, alpha-2-macroglobulin, apolipoprotein B-100, attractin, C-reactive protein, fibrinogen alpha chain, fibrinogen beta chain, nardilysin and serine/threonine-protein kinase Chk1) had been identified at baseline. However, it should be stressed that the small sample size precludes generalization of the main results. Further studies to validate these as potential biomarkers of antidepressant treatment response are warranted considering the potential importance to the field of psychiatric disorders. This study provides the groundwork for development of novel objective clinical tests that can help psychiatrists in the clinical management of MDD through improved prediction and monitoring of patient responses to antidepressant treatments.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 22%
Student > Bachelor 8 17%
Student > Ph. D. Student 5 11%
Student > Master 3 7%
Student > Doctoral Student 2 4%
Other 4 9%
Unknown 14 30%
Readers by discipline Count As %
Neuroscience 7 15%
Medicine and Dentistry 5 11%
Biochemistry, Genetics and Molecular Biology 4 9%
Agricultural and Biological Sciences 3 7%
Computer Science 2 4%
Other 8 17%
Unknown 17 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 25 December 2017.
All research outputs
#15,475,586
of 22,997,544 outputs
Outputs from Frontiers in Molecular Neuroscience
#1,862
of 2,904 outputs
Outputs of similar age
#198,369
of 316,362 outputs
Outputs of similar age from Frontiers in Molecular Neuroscience
#63
of 103 outputs
Altmetric has tracked 22,997,544 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,904 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 28th percentile – i.e., 28% 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 316,362 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 103 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.