Cited by 45Tryptophan and brain disordersTreatment of Major DepressionBipolar Disorder and Treatment

Putative transcriptomic biomarkers in the inflammatory cytokine pathway differentiate major depressive disorder patients from control subjects and bipolar disorder patients

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Powell, Timothy R., McGuffin, Peter, D'Souza, Ursula M., Cohen-Woods, Sarah, Hosang, Georgina M., Martin, Charlotte, Matthews, Keith, Day, Richard K. +3 more·2014·PLoS ONE

Abstract

Mood disorders consist of two etiologically related, but distinctly treated illnesses, major depressive disorder (MDD) and bipolar disorder (BPD). These disorders share similarities in their clinical presentation, and thus show high rates of misdiagnosis. Recent research has revealed significant transcriptional differences within the inflammatory cytokine pathway between MDD patients and controls, and between BPD patients and controls, suggesting this pathway may possess important biomarker properties. This exploratory study attempts to identify disorder-specific transcriptional biomarkers within the inflammatory cytokine pathway, which can distinguish between control subjects, MDD patients and BPD patients. This is achieved using RNA extracted from subject blood and applying synthesized complementary DNA to quantitative PCR arrays containing primers for 87 inflammation-related genes. Initially, we use ANOVA to test for transcriptional differences in a 'discovery cohort' (total n = 90) and then we use t-tests to assess the reliability of any identified transcriptional differences in a 'validation cohort' (total n = 35). The two most robust and reliable biomarkers identified across both the discovery and validation cohort were Chemokine (C-C motif) ligand 24 (CCL24) which was consistently transcribed higher amongst MDD patients relative to controls and BPD patients, and C-C chemokine receptor type 6 (CCR6) which was consistently more lowly transcribed amongst MDD patients relative to controls. Results detailed here provide preliminary evidence that transcriptional measures within inflammation-related genes might be useful in aiding clinical diagnostic decision-making processes. Future research should aim to replicate findings detailed in this exploratory study in a larger medication-free sample and examine whether identified biomarkers could be used prospectively to aid clinical diagnosis.

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  1. [7]American Psychiatric Association (2000) Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR). Washington DC, American Psychiatric Association.
  2. [38]Beck AT, Steer RA (1984) Internal consistencies of the original and revised Beck Depression Inventory. J Clin Psychol 40: 1365– 1367. 6511949

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Authors
Powell, T. R., McGuffin, P., D'Souza, U. M., Cohen-Woods, S., Hosang, G. M., Martin, C., Matthews, K., Day, R. K., Farmer, A. E., Tansey, K. E., & Schalkwyk, L. C.
Affiliations
  • King's College London (GB)
  • Ninewells Hospital (GB)
Corresponding author
Powell, Timothy R.
Venue
PLoS ONE
Published
2014-03-11
Volume
9
Issue
3
Pages
e91076
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2002294713
Cited by
45
References
64
Citations by year
2024: 2 · 2023: 2 · 2022: 1 · 2021: 3 · 2020: 5 · 2019: 2 · 2018: 8 · 2017: 4 · 2016: 11 · 2015: 3 · 2014: 4
FWCI
2.26
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, other-oa)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Research Portal (King's College London) (publishedVersion, cc-by)
  • Discovery Research Portal (University of Dundee) (submittedVersion, cc-by)
  • Goldsmiths (University of London) (submittedVersion)
  • Open Access at Essex (University of Essex) (submittedVersion)
  • Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Flinders Academic Commons (Flinders University) (submittedVersion, other-oa)
  • Figshare (submittedVersion, cc-by)
  • Queen Mary Research Online (Queen Mary University of London) (submittedVersion, cc-by)
Funders
  • Bristol-Myers Squibb
  • AstraZeneca
  • GlaxoSmithKline
  • South London and Maudsley NHS Foundation Trust
  • National Institute for Health and Care Research
  • European Commission (LSHB-CT-2003–503428, 503428, LSHB-CT-2003)
  • H. Lundbeck A/S
  • Medical Research Council
  • Menzies Centre for Australian Studies, King's College London, University of London
Topics
  • Life Sciences › Neuroscience › Biological Psychiatry › Tryptophan and brain disorders
  • Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
  • Health Sciences › Medicine › Psychiatry and Mental health › Bipolar Disorder and Treatment
Keywords
major depressive disorder, bipolar disorder, transcriptomic biomarkers, CCL24, CCR6, chemokines, mood disorders, differential gene expression, blood RNA, misdiagnosis, diagnosis
MeSH terms
Adult, Aged, Analysis of Variance, Bipolar Disorder, Major Depressive Disorder, Depressive Disorder, Major, Diagnosis, Differential, Female, Humans, Male, Middle Aged, Risk Factors, Reproducibility of Results, Signal Transduction, Biomarkers, Case-Control Studies, Cytokines, Inflammation Mediators, Gene Expression Profiling, Receptors, CCR6, Chemokine CCL24, Transcriptome

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