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Side effect profile similarities shared between antidepressants and immune-modulators reveal potential novel targets for treating major depressive disorders

Overview of attention for article published in BMC Pharmacology and Toxicology, October 2016
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Title
Side effect profile similarities shared between antidepressants and immune-modulators reveal potential novel targets for treating major depressive disorders
Published in
BMC Pharmacology and Toxicology, October 2016
DOI 10.1186/s40360-016-0090-9
Pubmed ID
Authors

Yu Sun, Vaibhav A. Narayan, Gayle M. Wittenberg

Abstract

Side effects, or the adverse effects of drugs, contain important clinical phenotypic information that may be useful in predicting novel or unknown targets of a drug. It has been suggested that drugs with similar side-effect profiles may share common targets. The diagnostic class, Major Depressive Disorder, is increasingly viewed as being comprised of multiple depression subtypes with different biological root causes. One 'type' of depression generating substantial interest today focuses on patients with high levels of inflammatory burden, indicated by elevated levels of C-reactive proteins (CRP) and pro-inflammatory cytokines such as interleukin 6 (IL-6). It has been suggested that drugs targeting the immune system may have beneficial effect on this subtype of depressed patients, and several studies are underway to test this hypothesis directly. However, patients have been treated with both anti-inflammatory and antidepressant compounds for decades. It may be possible to exploit similarities in clinical readouts to better understand the antidepressant effects of immune-related drugs. Here we explore the space of approved drugs by comparing the drug side effect profiles of known antidepressants and drugs targeting the immune system, and further examine the findings by comparing the human cell line expression profiles induced by them with those induced by antidepressants. We found 7 immune-modulators and 14 anti-inflammatory drugs sharing significant side effect profile similarities with antidepressants. Five of the 7 immune modulators share most similar side effect profiles with antidepressants that modulate dopamine release and/or uptake. In addition, the immunosuppressant rapamycin and the glucocorticoid alclometasone induces transcriptional changes similar to multiple antidepressants. These findings suggest that some antidepressants and some immune-related drugs may affect common molecular pathways. Our findings support the idea that certain medications aimed at the immune system may be helpful in relieving depressive symptoms, and suggest that it may be of value to test immune-modulators for antidepressant-like activity in future proof-of-concept studies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 2%
Unknown 62 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 21%
Student > Ph. D. Student 12 19%
Student > Bachelor 7 11%
Other 6 10%
Researcher 5 8%
Other 9 14%
Unknown 11 17%
Readers by discipline Count As %
Medicine and Dentistry 14 22%
Neuroscience 9 14%
Pharmacology, Toxicology and Pharmaceutical Science 6 10%
Psychology 5 8%
Chemistry 4 6%
Other 14 22%
Unknown 11 17%
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 01 November 2016.
All research outputs
#20,166,456
of 25,654,806 outputs
Outputs from BMC Pharmacology and Toxicology
#322
of 488 outputs
Outputs of similar age
#237,402
of 324,571 outputs
Outputs of similar age from BMC Pharmacology and Toxicology
#9
of 17 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 488 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 324,571 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.