Neuroplasticity and second messenger pathways in antidepressant efficacy: pharmacogenetic results from a prospective
Chiara Fabbri1, Concetta Crisafulli2, Raffaella Calati3
1Department of Biomedical and NeuroMotor Sciences, University of Bologna, Viale Carlo Pepoli 5, 40123, Bologna, Italy.
Abstract:
Genes belonging to neuroplasticity, monoamine, circadian rhythm, and transcription factor pathways were investigated as modulators of antidepressant efficacy. The present study aimed (1) to replicate previous findings in an independent sample with treatment-resistant depression (TRD), and (2) to perform a pathway analysis to investigate the possible molecular mechanisms involved. 220 patients with major depressive disorder who were non-responders to a previous antidepressant were treated with venlafaxine for 4-6 weeks and in case of non-response with escitalopram for 4-6 weeks. Symptoms were assessed using the Montgomery Asberg Depression Rating Scale. The phenotypes were response and remission to venlafaxine, non-response (TRDA) and non-remission (TRDB) to neither venlafaxine nor escitalopram. 50 tag SNPs in 14 genes belonging to the pathways of interest were tested for association with phenotypes. Molecular pathways (KEGG database) that included one or more of the genes associated with the phenotypes were investigated also in the STAR*D sample. The associations between ZNF804A rs7603001 and response, CREB1 rs2254137 and remission were replicated, as well as CHL1 rs2133402 and lower risk of TRD. Other CHL1 SNPs were potential predictors of TRD (rs1516340, rs2272522, rs1516338, rs2133402). The MAPK1 rs6928 SNP was consistently associated with all the phenotypes. The protein processing in endoplasmic reticulum pathway (hsa04141) was the best pathway that may explain the mechanisms of MAPK1 involvement in antidepressant response. Signals in genes previously associated with antidepressant efficacy were confirmed for CREB1, ZNF804A and CHL1. These genes play pivotal roles in synaptic plasticity, neural activity and connectivity.
Insights
This study replicated genetic findings for antidepressant response in treatment-resistant depression (TRD). Key genes like ZNF804A, CREB1, and CHL1 influence treatment outcomes and neuroplasticity.
Area of Science:
- Pharmacogenetics
- Neuroscience
- Molecular Psychiatry
Background:
- Antidepressant efficacy is influenced by genetic factors.
- Understanding genetic modulators is crucial for treating major depressive disorder and treatment-resistant depression (TRD).
Purpose of the Study:
- To replicate genetic associations with antidepressant response in an independent TRD sample.
- To explore molecular pathways underlying antidepressant efficacy using pathway analysis.
Main Methods:
- Genomic analysis of 50 tag SNPs in 14 genes related to neuroplasticity, monoamine, circadian rhythm, and transcription factor pathways.
- Phenotyping based on response and remission to venlafaxine and escitalopram in 220 MDD patients.
- Pathway analysis using KEGG database and cross-validation with the STAR*D sample.
Main Results:
- Replicated associations for ZNF804A (response), CREB1 (remission), and CHL1 (reduced TRD risk).
- Identified other CHL1 SNPs as potential predictors of TRD.
- MAPK1 rs6928 SNP showed consistent association across all phenotypes; protein processing in endoplasmic reticulum pathway implicated.
- Confirmed signals in CREB1, ZNF804A, and CHL1, highlighting their roles in synaptic plasticity and neural connectivity.
Conclusions:
- Genetic variants in ZNF804A, CREB1, and CHL1 are confirmed predictors of antidepressant response and TRD risk.
- MAPK1 and the endoplasmic reticulum pathway may play significant roles in antidepressant mechanisms.
- These findings reinforce the importance of neuroplasticity and neural connectivity genes in depression treatment.
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