Transcriptomic profiling as biological markers of depression - A pilot study in unipolar and bipolar women

World J Biol Psychiatry. 2021 Dec;22(10):744-756. doi: 10.1080/15622975.2021.1907715. Epub 2021 Apr 27.

Abstract

Objectives: A significant challenge in psychiatry is the differential diagnosis of depressive episodes in the course of mood disorders. Gene expression profiling may provide an opportunity for such distinguishment.

Methods: We studied differentially expressed genes in women with a depressive episode in the course of unipolar depression (UD) (n = 24) and bipolar disorder types I (BDI) (n = 13) and II (BDII) (n = 19), and healthy controls (n = 15).

Results: Different types of depression varied in the number and type of up or down-regulated genes. The pathway analysis showed: in UD, up-regulated rheumatoid arthritis pathway (including ITGB2, CXCL8, TEK, TLR4 genes), and down-regulated taste transduction pathway (TAS2R10, TAS2R46, TAS2R14, TAS2R43, TAS2R45, TAS2R19, TAS2R13, TAS2R20, GNG13); in BDI, eight down-regulated pathways: glutamatergic synapse, retrograde endocannabinoid signalling, axon guidance, calcium signalling, nicotine addiction, PI3K-Akt signalling, drug metabolism - cytochrome P450, and morphine addiction; in BDII, up-regulated osteoclast differentiation and Notch signalling pathway, and down-regulated type I diabetes mellitus pathway. Distinct expression markers analysis uncovered the unique for UD, up-regulated bladder cancer pathway (HBEGF and CXCL8 genes).

Conclusions: This pilot study suggests a probability of differentiating depression in the course of UD, BDI, and II, based on transcriptomic profiling.

Keywords: Transcriptomic profiles; bipolar disorder; depression episode; ontology and pathway analysis; unipolar disorder.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers
  • Bipolar Disorder* / genetics
  • Depression
  • Female
  • Gene Expression Profiling
  • Humans
  • Phosphatidylinositol 3-Kinases
  • Pilot Projects
  • Transcriptome

Substances

  • Biomarkers