1
|
Dahrendorff J, Currier G, Uddin M. Leveraging DNA methylation to predict treatment response in major depressive disorder: A critical review. Am J Med Genet B Neuropsychiatr Genet 2024:e32985. [PMID: 38650309 DOI: 10.1002/ajmg.b.32985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 03/18/2024] [Accepted: 04/02/2024] [Indexed: 04/25/2024]
Abstract
Major depressive disorder (MDD) is a debilitating and prevalent mental disorder with a high disease burden. Despite a wide array of different treatment options, many patients do not respond to initial treatment attempts. Selection of the most appropriate treatment remains a significant clinical challenge in psychiatry, highlighting the need for the development of biomarkers with predictive utility. Recently, the epigenetic modification DNA methylation (DNAm) has emerged to be of great interest as a potential predictor of MDD treatment outcomes. Here, we review efforts to date that seek to identify DNAm signatures associated with treatment response in individuals with MDD. Searches were conducted in the databases PubMed, Scopus, and Web of Science with the concepts and keywords MDD, DNAm, antidepressants, psychotherapy, cognitive behavior therapy, electroconvulsive therapy, transcranial magnetic stimulation, and brain stimulation therapies. We identified 32 studies implicating DNAm patterns associated with MDD treatment outcomes. The majority of studies (N = 25) are focused on selected target genes exploring treatment outcomes in pharmacological treatments (N = 22) with a few studies assessing treatment response to electroconvulsive therapy (N = 3). Additionally, there are few genome-scale efforts (N = 7) to characterize DNAm patterns associated with treatment outcomes. There is a relative dearth of studies investigating DNAm patterns in relation to psychotherapy, electroconvulsive therapy, or transcranial magnetic stimulation; importantly, most existing studies have limited sample sizes. Given the heterogeneity in both methods and results of studies to date, there is a need for additional studies before existing findings can inform clinical decisions.
Collapse
Affiliation(s)
- Jan Dahrendorff
- Genomics Program, College of Public Health, University of South Florida, Tampa, Florida, USA
| | - Glenn Currier
- Department of Psychiatry and Behavioral Neurosciences, University of South Florida, Tampa, Florida, USA
| | - Monica Uddin
- Genomics Program, College of Public Health, University of South Florida, Tampa, Florida, USA
| |
Collapse
|
2
|
Ran LY, Liu XY, Wang W, Tao WQ, Xiang JJ, Zeng Q, Kong YT, Zhang CY, Liao J, Qiu HT, Kuang L. Personality traits predict treatment outcome of an antidepressant in untreated adolescents with depression: An 8-week, open-label, flexible-dose study. J Affect Disord 2024; 350:102-109. [PMID: 38199422 DOI: 10.1016/j.jad.2024.01.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Revised: 11/25/2023] [Accepted: 01/03/2024] [Indexed: 01/12/2024]
Abstract
BACKGROUND Antidepressant response in adults with major depressive disorder (MDD) is probably influenced by personality dimensions. However, personality dimensions in depression and their association with antidepressant treatment in adolescents are relatively unknown. We sought to investigate whether personality traits (PTs) can influence antidepressant treatment response in adolescents with depression. METHODS Eighty-two adolescents with MDD who had completed the 8 weeks of treatment with selective serotonin reuptake inhibitors (SSRI) were enrolled. The Revised NEO Five-Factor Inventory (NEO-FFI-R) was used to measure their personality at baseline, and the 17-item Hamilton Depression Rating Scale (HAMD-17) and Children's Depression Rating Scale-Revised (CDRS-R) were used to evaluate depressive symptoms at baseline and 8 weeks. Moreover, logistic regression was performed to investigate the relationship between personality dimensions and antidepressant response. Receiver operating characteristic analyses were employed to determine the accuracy of a PT-based model in predicting the antidepressant response rate. RESULTS Adolescents with MDD had significantly different PTs at baseline. Multivariable logistic regression analysis showed that extroversion scores were associated with response to antidepressant treatment, the lower the extroversion score, the better the response to antidepressant treatment, after correcting for variables with significant differences and trends or all potential confounding variables. It was also found that the combination of disease duration, extraversion-gregariousness, and agreeableness-trust effectively predicted antidepressant response in adolescents with MDD, with a sensitivity of 79.4 % and specificity of 68.7 %. CONCLUSION Personality dysfunction in adolescents is associated with MDD. The antidepressant treatment response is influenced by the degree of extroversion in adolescents with MDD.
Collapse
Affiliation(s)
- Liu-Yi Ran
- Mental Health Center, University-Town Hospital of Chongqing Medical University, NO.55, University Town Middle Road, Shapingba District, Chongqing 401331, China; Chongqing Clinical Medical Research Center for Psychiatric and Psychological Disorders, China
| | - Xin-Yi Liu
- Mental Health Center, University-Town Hospital of Chongqing Medical University, NO.55, University Town Middle Road, Shapingba District, Chongqing 401331, China
| | - Wo Wang
- Mental Health Center, University-Town Hospital of Chongqing Medical University, NO.55, University Town Middle Road, Shapingba District, Chongqing 401331, China; Chongqing Clinical Medical Research Center for Psychiatric and Psychological Disorders, China
| | - Wan-Qing Tao
- Mental Health Center, University-Town Hospital of Chongqing Medical University, NO.55, University Town Middle Road, Shapingba District, Chongqing 401331, China
| | - Jiao-Jiao Xiang
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Yuzhong District, Chongqing 400016, China
| | - Qi Zeng
- Mental Health Center, University-Town Hospital of Chongqing Medical University, NO.55, University Town Middle Road, Shapingba District, Chongqing 401331, China
| | - Yi-Ting Kong
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Yuzhong District, Chongqing 400016, China
| | - Chen-Yu Zhang
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Yuzhong District, Chongqing 400016, China
| | - Jing Liao
- Mental Health Center, University-Town Hospital of Chongqing Medical University, NO.55, University Town Middle Road, Shapingba District, Chongqing 401331, China
| | - Hai-Tang Qiu
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Yuzhong District, Chongqing 400016, China; Chongqing Clinical Medical Research Center for Psychiatric and Psychological Disorders, China.
| | - Li Kuang
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Yuzhong District, Chongqing 400016, China; Chongqing Clinical Medical Research Center for Psychiatric and Psychological Disorders, China.
| |
Collapse
|