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Blood-based immune-endocrine biomarkers of treatment response in depression

Overview of attention for article published in Journal of Psychiatric Research, December 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

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2 tweeters
patent
1 patent

Citations

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16 Dimensions

Readers on

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61 Mendeley
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Title
Blood-based immune-endocrine biomarkers of treatment response in depression
Published in
Journal of Psychiatric Research, December 2016
DOI 10.1016/j.jpsychires.2016.08.020
Pubmed ID
Authors

Man K. Chan, Jason D. Cooper, Mariska Bot, Tom K. Birkenhager, Veerle Bergink, Hemmo A. Drexhage, Johann Steiner, Matthias Rothermundt, Brenda W.J.H. Penninx, Sabine Bahn

Abstract

Antidepressant treatment for major depressive disorder remains suboptimal with response rates of just over 50%. Although treatment guidelines, algorithms and clinical keys are available to assist the clinician, the process of finding an effective pharmacotherapy to maximise benefit for the individual patient is largely by "trial and error" and remains challenging. This highlights a clear need to identify biomarkers of treatment response to help guide personalised treatment strategies. We have carried out the largest multiplex immunoassay based longitudinal study to date, examining up to 258 serum markers involved in immune, endocrine and metabolic processes as potential biomarkers associated with treatment response in 332 depression patients recruited from four independent clinical centres. We demonstrated for the first time that circulating Apolipoprotein A-IV, Endoglin, Intercellular Adhesion Molecule 1, Tissue Inhibitor of Metalloproteinases 1, Plasminogen Activator Inhibitor 1, Thrombopoietin, Complement C3, Hepatocyte Growth Factor and Insulin-like Growth Factor-Binding Protein 2 were associated with response to different antidepressants. In addition, we showed that specific sets of immune-endocrine proteins were associated with response to Venlafaxine (serotonin-norepinephrine reuptake inhibitor), Imipramine (tricyclic antidepressant) and other antidepressant drugs. However, we were not able to reproduce the literature findings on BDNF and TNF-α, two of the most commonly reported candidate treatment response markers. Despite the need for extensive validation studies, our preliminary findings suggest that a pre-treatment immune-endocrine profile may help to determine a patient's likelihood to respond to specific antidepressant and/or alternative treatments such as anti-inflammatory drugs, providing hope for future personalised treatment approaches.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 16%
Student > Bachelor 9 15%
Student > Ph. D. Student 9 15%
Student > Master 6 10%
Student > Doctoral Student 4 7%
Other 16 26%
Unknown 7 11%
Readers by discipline Count As %
Medicine and Dentistry 18 30%
Psychology 11 18%
Neuroscience 9 15%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Agricultural and Biological Sciences 2 3%
Other 7 11%
Unknown 12 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 16 October 2018.
All research outputs
#4,287,525
of 14,834,764 outputs
Outputs from Journal of Psychiatric Research
#855
of 2,224 outputs
Outputs of similar age
#83,170
of 261,548 outputs
Outputs of similar age from Journal of Psychiatric Research
#16
of 49 outputs
Altmetric has tracked 14,834,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 2,224 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 60% 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 261,548 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.