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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] [What about the content of this article? (0)] [Affiliation(s)] [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.
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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.
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Hu JH, Zhou DD, Ma LL, Zhao L, He XQ, Peng XY, Chen R, Chen WJ, Jiang ZH, Ran LY, Liu XY, Tao WQ, Yuan K, Wang W. A resting-state electroencephalographic microstates study in depressed adolescents with non-suicidal self-injury. J Psychiatr Res 2023; 165:264-272. [PMID: 37541092 DOI: 10.1016/j.jpsychires.2023.07.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 07/15/2023] [Accepted: 07/15/2023] [Indexed: 08/06/2023]
Abstract
Neuroimaging studies have revealed abnormal brain activities in depressed teenagers who engage in non-suicidal self-injury (NSSI). We used resting-state electroencephalography (EEG) microstate analysis, which indicates the brief overlap of brain network activation for exploring the characteristics of large-scale cortical activities in depressed adolescents engaged with NSSI to clarify the underlying temporal mechanism. A modified k-means cluster algorithm was used to segment 64-channel resting-state EEG data into microstates. Data from 27 healthy adolescents, 37 adolescents with major depressive disorder (MDD), and 53 adolescents with both MDD and NSSI were examined in this study. The resting-state microstate parameters were compared among groups using the one-way ANOVA and Spearman correlation. Then the associations between significantly different microstate parameters and the depressive severity and self-harming data in the patient groups were further analyzed. The MDD group had higher contribution (p < 0.01), occurrence (p < 0.01) of microstate A, and higher microstate E→A transition (p < 0.05) than the HC and the NSSI group. The MDD group showed a distinctly longer duration (p < 0.05) of microstate A and microstate A→C transition than the HC. The transition probability from B to C was increased in the NSSI group compared to the HC. In the MDD group, the HAMD correlated with the duration of microstate A (Spearman's rho = 0.34, p = 0.044), as the PHQ-9 correlated with its occurrence (Spearman's rho = 0.37, p = 0.028). This research revealed that whereas depressive adolescents with NSSI and MDD displayed similar patterns with healthy controls in EEG microstate, the MDD group did not. Additionally, the non-random transition from microstate E→A may protect against recent self-harm in adolescents with MDD.
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Affiliation(s)
- Jin-Hui Hu
- Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Dong-Dong Zhou
- Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Lin-Li Ma
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Lin Zhao
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiao-Qing He
- Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Xin-Yu Peng
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Ran Chen
- Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Wan-Jun Chen
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zheng-Hao Jiang
- Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Liu-Yi Ran
- Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Xin-Yi Liu
- Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Wan-Qing Tao
- Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Ke Yuan
- Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Wo Wang
- Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China.
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Ran LY, Kong YT, Xiang JJ, Zeng Q, Zhang CY, Shi L, Qiu HT, Liu C, Wu LL, Li YL, Chen JM, Ai M, Wang W, Kuang L. Serum extracellular vesicle microRNA dysregulation and childhood trauma in adolescents with major depressive disorder. Bosn J Basic Med Sci 2022; 22:959-971. [PMID: 35659238 PMCID: PMC9589301 DOI: 10.17305/bjbms.2022.7110] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 05/23/2022] [Indexed: 07/20/2023] Open
Abstract
Major depressive disorder (MDD) seriously endangers adolescent mental and physical health. Extracellular vesicles (EVs) are mediators of cellular communication and are involved in many physiological brain processes. Although EV miRNAshave been implicated in adults with major psychiatric disorders, investigation into their effects in adolescent MDDremains scarce. In discovery set, we conducted a genome-wide miRNA sequencing of serum EVs from 9 untreated adolescents with MDD and 8 matched healthy controls (HCs), identifying 32 differentially expressed miRNAs (18 upregulated and 14 downregulated). In the validation set, 8 differentially expressed and highly enriched miRNAs were verified in independent samples using RT-PCR, with 4 (miR-450a-2-3p, miR-3691-5p, miR-556-3p, and miR-2115-3p) of the 8 miRNAs found to be significantly elevated in 34 untreated adolescents with MDD compared with 38 HCs and consistent with the sequencing results. After the Bonferroni correction, we found that three miRNAs (miR-450a-2-3p, miR-556-3p, and miR-2115-3p) were still significantly different. Among them, miR-450a-2-3p showed the most markeddifferential expression and was able to diagnose disease with 67.6% sensitivity and 84.2% specificity. Furthermore, miR-450a-2-3p partially mediated the associations between total childhood trauma, emotional abuse, and physical neglect and adolescent MDD. We also found that the combination of miR-450a-2-3p and emotional abuse could effectively diagnose MDD in adolescents with 82.4% sensitivity and 81.6% specificity. Our data demonstrate the association of serum EV miRNA dysregulation with MDD pathophysiology and, furthermore, show that miRNAs may mediate the relationship between early stress and MDD susceptibility. We also provide a valid integrated model for the diagnosis of adolescent MDD.
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Affiliation(s)
- Liu-Yi Ran
- Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Yi-Ting Kong
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jiao-Jiao Xiang
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Qi Zeng
- Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Chen-Yu Zhang
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Lei Shi
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hai-Tang Qiu
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Chuan Liu
- Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Lin-Li Wu
- Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Ya-Lan Li
- Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Jian-Mei Chen
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Ming Ai
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Wo Wang
- Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Li Kuang
- Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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