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Published on: August 11, 2015
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.
Abstract:
Despite numerous studies on major depressive disorder (MDD) susceptibility, the precise underlying molecular mechanism has not been elucidated which restricts the development of etiology-based disease-modifying drug. Major depressive disorder treatment is still symptomatic and is the leading cause of (~30%) failure of the current antidepressant therapy. Here we comprehended the probable genes and pathways commonly associated with antidepressant response and MDD. A systematic review was conducted, and candidate genes/pathways associated with antidepressant response and MDD were identified using an integrative genetics approach. Initially, single nucleotide polymorphisms (SNPs)/genes found to be significantly associated with antidepressant response were systematically reviewed and retrieved from the candidate studies and genome-wide association studies (GWAS). Also, significant variations concerning MDD susceptibility were extracted from GWAS only. We found 245 (Set A) and 800 (Set B) significantly associated genes with antidepressant response and MDD, respectively. Further, gene set enrichment analysis revealed the top five co-occurring molecular pathways (p ≤ 0.05) among the two sets of genes: Cushing syndrome, Axon guidance, cAMP signaling pathway, Insulin secretion, and Glutamatergic synapse, wherein all show a very close relation to synaptic plasticity. Integrative analyses of candidate gene and genome-wide association studies would enable us to investigate the putative targets for the development of disease etiology-based antidepressant that might be more promising than current ones.
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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