Systems Approach to Identify Common Genes and Pathways Associated with Response to Selective Serotonin Reuptake

Ankit Srivastava1,2, Priyanka Singh3,4, Hitesh Gupta5

  • 1Genomics and Molecular Medicine Unit, Institute of Genomics and Integrative Biology (IGIB), Council of Scientific and Industrial Research (CSIR), Delhi 110007, India. ankit.srivastava@igib.in.

Insights

Identifying genes and pathways linked to major depressive disorder (MDD) and antidepressant response is crucial. This study highlights key molecular pathways, offering potential targets for novel, etiology-based antidepressant therapies.

Area of Science:

  • Genetics and Molecular Biology
  • Neuroscience
  • Pharmacology

Background:

  • Major depressive disorder (MDD) susceptibility and treatment response lack clear molecular understanding, hindering etiology-based drug development.
  • Current antidepressant therapies exhibit a high failure rate (~30%), necessitating novel therapeutic strategies.
  • Existing research on MDD and antidepressant response has not fully elucidated the underlying genetic and molecular mechanisms.

Purpose of the Study:

  • To identify probable genes and molecular pathways associated with both MDD susceptibility and antidepressant response.
  • To explore potential targets for developing more effective, etiology-based antidepressant medications.
  • To integrate findings from candidate gene studies and genome-wide association studies (GWAS) for a comprehensive analysis.

Main Methods:

  • Conducted a systematic review to identify genes and pathways linked to antidepressant response and MDD.
  • Utilized an integrative genetics approach, analyzing single nucleotide polymorphisms (SNPs) and genes from candidate studies and GWAS.
  • Performed gene set enrichment analysis on identified gene sets (Set A: 245 genes for antidepressant response; Set B: 800 genes for MDD).

Main Results:

  • Identified 245 significantly associated genes for antidepressant response (Set A) and 800 for MDD (Set B).
  • Gene set enrichment analysis revealed five key co-occurring molecular pathways: Cushing syndrome, Axon guidance, cAMP signaling pathway, Insulin secretion, and Glutamatergic synapse.
  • These pathways demonstrate a strong association with synaptic plasticity, suggesting its role in MDD and treatment response.

Conclusions:

  • Integrative analysis of GWAS and candidate gene data provides insights into molecular mechanisms of MDD and antidepressant response.
  • Identified pathways, particularly those related to synaptic plasticity, represent promising targets for novel antidepressant drug development.
  • This research paves the way for developing disease etiology-based antidepressants, potentially overcoming limitations of current symptomatic treatments.

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