Transcriptomics in Interferon-α-Treated Patients Identifies Inflammation-, Neuroplasticity- and Oxidative Stress-Related Signatures as Predictors and Correlates of Depression

Neuropsychopharmacology. 2016 Sep;41(10):2502-11. doi: 10.1038/npp.2016.50. Epub 2016 Apr 12.

Abstract

Owing to the unique opportunity to assess individuals before and after they develop depression within a short timeframe, interferon-α (IFN-α) treatment for chronic hepatitis C virus (HCV) infection is an ideal model to identify molecular mechanisms relevant to major depression, especially in the context of enhanced inflammation. Fifty-eight patients were assessed prospectively, at baseline and monthly over 24 weeks of IFN-α treatment. New-onset cases of depression were determined using the Mini International Neuropsychiatric Interview (MINI). Whole-blood transcriptomic analyses were conducted to investigate the following: (1) baseline gene expression differences associated with future development of IFN-α-induced depression, before IFN-α, and (2) longitudinal gene expression changes from baseline to weeks 4 or 24 of IFN-α treatment, separately in those who did and did not develop depression. Transcriptomics data were analyzed using Partek Genomics Suite (1.4-fold, FDR adjusted p⩽0.05) and Ingenuity Pathway Analysis Software. Twenty patients (34%) developed IFN-α-induced depression. At baseline, 73 genes were differentially expressed in patients who later developed depression compared with those who did not. After 4 weeks of IFN-α treatment, 592 genes were modulated in the whole sample, representing primarily IFN-α-responsive genes. Substantially more genes were modulated only in patients who developed depression (n=506, compared with n=70 in patients who did not), with enrichment in inflammation-, neuroplasticity- and oxidative stress-related pathways. A similar picture was observed at week 24. Our data indicate that patients who develop IFN-α-induced depression have an increased biological sensitivity to IFN-α, as shown by larger gene expression changes, and specific signatures both as predictors and as correlates.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Analysis of Variance
  • Antiviral Agents / adverse effects*
  • Cohort Studies
  • Computational Biology
  • Depression* / blood
  • Depression* / chemically induced
  • Depression* / diagnosis
  • Depression* / genetics
  • Female
  • Gene Expression / drug effects
  • Gene Expression Profiling
  • Hepatitis C / drug therapy
  • Humans
  • Interferon-alpha / adverse effects*
  • Keratins / blood*
  • Male
  • Middle Aged
  • Oxidative Stress / drug effects*
  • Psychiatric Status Rating Scales
  • Signal Transduction / drug effects
  • Signal Transduction / genetics
  • Surveys and Questionnaires

Substances

  • Antiviral Agents
  • Interferon-alpha
  • Keratins