The Impact of BDNF , NTRK2 , NGFR , CREB1 , GSK3B , AKT , MAPK1 , MTOR , PTEN , ARC, and SYN1 Genetic Polymorphisms in Antidepressant Treatment Response Phenotypes.
Marlene SantosLuis LimaSerafim CarvalhoJorge Mota-PereiraPaulo PimentelDulce MaiaDiana CorreiaMaria Fátima BarrosoSofia GomesAgostinho CruzRui MedeirosPublished in: International journal of molecular sciences (2023)
This study aimed to investigate the influence of genetic variants in neuroplasticity-related genes on antidepressant treatment phenotypes. The BDNF-TrkB signaling pathway, as well as the downstream kinases Akt and ERK and the mTOR pathway, have been implicated in depression and neuroplasticity. However, clinicians still struggle with the unpredictability of antidepressant responses in depressed patients. We genotyped 26 polymorphisms in BDNF , NTRK2 , NGFR , CREB1 , GSK3B , AKT , MAPK1 , MTOR , PTEN , ARC, and SYN1 in 80 patients with major depressive disorder treated according to the Texas Medical Algorithm for 27 months at Hospital Magalhães Lemos, Porto, Portugal. Our results showed that BDNF rs6265 , PTEN rs12569998 , and SYN1 rs1142636 SNP were associated with treatment-resistant depression (TRD). Additionally, MAPK1 rs6928 and GSK3B rs6438552 gene polymorphisms were associated with relapse. Moreover, we found a link between the rs6928 MAPK1 polymorphism and time to relapse. These findings suggest that the BDNF , PTEN , and SYN1 genes may play a role in the development of TRD, while MAPK1 and GSK3B may be associated with relapse. GO analysis revealed enrichment in synaptic and trans-synaptic transmission pathways and glutamate receptor activity with TRD-associated genes. Genetic variants in these genes could potentially be incorporated into predictive models of antidepressant response.
Keyphrases
- pi k akt
- signaling pathway
- major depressive disorder
- cell proliferation
- bipolar disorder
- induced apoptosis
- epithelial mesenchymal transition
- genome wide
- stress induced
- healthcare
- end stage renal disease
- depressive symptoms
- dna methylation
- ejection fraction
- free survival
- machine learning
- bioinformatics analysis
- gene expression
- palliative care
- genome wide identification
- chronic kidney disease
- physical activity
- sleep quality
- binding protein
- electronic health record