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Blood transcriptomic biomarkers in adult primary care patients with major depressive disorder undergoing cognitive behavioral therapy

Overview of attention for article published in Translational Psychiatry, September 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#50 of 3,722)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
23 news outlets
blogs
9 blogs
twitter
75 X users
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1 patent
facebook
28 Facebook pages
wikipedia
1 Wikipedia page
googleplus
3 Google+ users
video
1 YouTube creator

Citations

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67 Dimensions

Readers on

mendeley
211 Mendeley
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Title
Blood transcriptomic biomarkers in adult primary care patients with major depressive disorder undergoing cognitive behavioral therapy
Published in
Translational Psychiatry, September 2014
DOI 10.1038/tp.2014.66
Pubmed ID
Authors

E E Redei, B M Andrus, M J Kwasny, J Seok, X Cai, J Ho, D C Mohr

Abstract

An objective, laboratory-based diagnostic tool could increase the diagnostic accuracy of major depressive disorders (MDDs), identify factors that characterize patients and promote individualized therapy. The goal of this study was to assess a blood-based biomarker panel, which showed promise in adolescents with MDD, in adult primary care patients with MDD and age-, gender- and race-matched nondepressed (ND) controls. Patients with MDD received cognitive behavioral therapy (CBT) and clinical assessment using self-reported depression with the Patient Health Questionnaire-9 (PHQ-9). The measures, including blood RNA collection, were obtained before and after 18 weeks of CBT. Blood transcript levels of nine markers of ADCY3, DGKA, FAM46A, IGSF4A/CADM1, KIAA1539, MARCKS, PSME1, RAPH1 and TLR7, differed significantly between participants with MDD (N=32) and ND controls (N=32) at baseline (q< 0.05). Abundance of the DGKA, KIAA1539 and RAPH1 transcripts remained significantly different between subjects with MDD and ND controls even after post-CBT remission (defined as PHQ-9 <5). The ROC area under the curve for these transcripts demonstrated high discriminative ability between MDD and ND participants, regardless of their current clinical status. Before CBT, significant co-expression network of specific transcripts existed in MDD subjects who subsequently remitted in response to CBT, but not in those who remained depressed. Thus, blood levels of different transcript panels may identify the depressed from the nondepressed among primary care patients, during a depressive episode or in remission, or follow and predict response to CBT in depressed individuals.

X Demographics

X Demographics

The data shown below were collected from the profiles of 75 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 211 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
Canada 2 <1%
Norway 1 <1%
Ireland 1 <1%
Switzerland 1 <1%
Brazil 1 <1%
Portugal 1 <1%
Australia 1 <1%
United Kingdom 1 <1%
Other 0 0%
Unknown 197 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 50 24%
Student > Master 35 17%
Student > Ph. D. Student 32 15%
Student > Bachelor 16 8%
Student > Doctoral Student 15 7%
Other 40 19%
Unknown 23 11%
Readers by discipline Count As %
Medicine and Dentistry 45 21%
Psychology 43 20%
Agricultural and Biological Sciences 30 14%
Neuroscience 19 9%
Biochemistry, Genetics and Molecular Biology 18 9%
Other 24 11%
Unknown 32 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 305. 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 11 April 2023.
All research outputs
#114,453
of 25,718,113 outputs
Outputs from Translational Psychiatry
#50
of 3,722 outputs
Outputs of similar age
#920
of 247,090 outputs
Outputs of similar age from Translational Psychiatry
#1
of 49 outputs
Altmetric has tracked 25,718,113 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 3,722 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 98% 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 247,090 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 99% 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 done particularly well, scoring higher than 97% of its contemporaries.