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Utility of TEMPS-A in differentiation between major depressive disorder, bipolar I disorder, and bipolar II disorder.

ABSTRACT: BACKGROUND:The association between temperament characteristics and mood disorders has gained much attention in recent years. The Temperament Evaluation of Memphis, Pisa, Paris and San Diego-autoquestionnaire version (TEMPS-A) is a self-rating scale measuring 5 affective temperament dimensions. In this study, we aimed to clarify whether each affective temperament of TEMPS-A is a differentiating factor between major depressive disorder (MDD), bipolar I disorder (BD-I), and bipolar II disorder (BD-II), and analyzed the utility of TEMPS-A in their differential diagnosis in a clinical setting. METHODS:A total of 346 patients (MDD, n = 176; BD-II, n = 112; BD-I, n = 58) filled out TEMPS-A. To assess the patients' mood state at the time of temperament assessment, Patient Health Questionnaire-9 (PHQ-9) and Young Mania Rating Scale (YMRS) were also conducted. RESULTS:Multivariate logistic regression analysis demonstrated that cyclothymic and anxious temperament scores were significant factors differentiating the diagnosis of BD-I and BD-II from the diagnosis of MDD, and hyperthymic temperament score was a specific factor for the differential diagnosis of BD-I versus the diagnosis of BD-II. LIMITATIONS:All of the patients included in our study received treatment in large general hospitals. Because the nature of the present study was cross-sectional, some MDD subjects in this study might have unrecognized BD-I/BD-II. CONCLUSIONS:Cyclothymic and anxious temperament scores assessed by TEMPS-A might enable differentiation between MDD and BD, and hyperthymic temperament score on TEMPS-A might be useful in distinguishing between BD-I and BD-II.

SUBMITTER: Morishita C

PROVIDER: S-EPMC7244116 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Utility of TEMPS-A in differentiation between major depressive disorder, bipolar I disorder, and bipolar II disorder.

Morishita Chihiro C Kameyama Rie R Toda Hiroyuki H Masuya Jiro J Ichiki Masahiko M Kusumi Ichiro I Inoue Takeshi T

PloS one 20200522 5

<h4>Background</h4>The association between temperament characteristics and mood disorders has gained much attention in recent years. The Temperament Evaluation of Memphis, Pisa, Paris and San Diego-autoquestionnaire version (TEMPS-A) is a self-rating scale measuring 5 affective temperament dimensions. In this study, we aimed to clarify whether each affective temperament of TEMPS-A is a differentiating factor between major depressive disorder (MDD), bipolar I disorder (BD-I), and bipolar II disor ...[more]

PMID: 32442169

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Project description:BACKGROUND:Major depressive disorder and bipolar disorder are prevalent and debilitating psychiatric disorders that are difficult to distinguish, as their diagnosis is based on behavioural observations and subjective symptoms. Quantitative protein profile analysis might help to objectively distinguish between these disorders and increase our understanding of their pathophysiology. Thus, this study was conducted to compare the peripheral protein profiles between the two disorders. METHODS:Serum samples were collected from 18 subjects with major depressive disorder and 15 subjects with bipolar disorder. After depleting abundant proteins, liquid chromatography-tandem mass spectrometry (LC-MS/MS) and label-free quantification were performed. Data-dependent acquisition data were statistically analysed from the samples of 15 subjects with major depressive disorder and 10 subjects with bipolar disorder who were psychotropic drug-free. Two-sided t-tests were performed for pairwise comparisons of proteomes to detect differentially-expressed proteins (DEPs). Ingenuity Pathway Analysis of canonical pathways, disease and functions, and protein networks based on these DEPs was further conducted. RESULTS:Fourteen DEPs were significant between subjects with major depressive disorder and those with bipolar disorder. Ras-related protein Rab-7a (t = 5.975, p = 4.3 × 10- 6) and Rho-associated protein kinase 2 (t = 4.782, p = 8.0 × 10- 5) were significantly overexpressed in subjects with major depressive disorder and Exportin-7 (t = -4.520, p = 1.5 × 10- 4) was significantly overexpressed in subjects with bipolar disorder after considering multiple comparisons. Bioinformatics analysis showed that cellular functions and inflammation/immune pathways were significantly different. CONCLUSIONS:Ras-related protein Rab-7a, Rho-associated protein kinase 2, and Exportin-7 were identified as potential peripheral protein candidates to distinguish major depressive disorder and bipolar disorder. Further large sample studies with longitudinal designs and validation processes are warranted.

Project description:Family and genetic studies indicate overlapping liability for major depressive disorder and bipolar disorder. The purpose of the present study was to determine whether this shared genetic liability influences clinical presentation.A polygenic risk score for bipolar disorder, derived from a large genome-wide association meta-analysis, was generated for each subject of European-American ancestry (n = 1,274) in the Sequential Treatment Alternatives to Relieve Depression study (STAR*D) outpatient major depressive disorder cohort. A hypothesis-driven approach was used to test for association between bipolar disorder risk score and features of depression associated with bipolar disorder in the literature. Follow-up analyses were performed in two additional cohorts.A generalized linear mixed model including seven features hypothesized to be associated with bipolar spectrum illness was significantly associated with bipolar polygenic risk score [F = 2.07, degrees of freedom (df) = 7, p = 0.04]. Features included early onset, suicide attempt, recurrent depression, atypical depression, subclinical mania, subclinical psychosis, and severity. Post-hoc univariate analyses demonstrated that the major contributors to this omnibus association were onset of illness at age ? 18 years [odds ratio (OR) = 1.2, p = 0.003], history of suicide attempt (OR = 1.21, p = 0.03), and presence of at least one manic symptom (OR = 1.16, p = 0.02). The maximal variance in these traits explained by polygenic score ranged from 0.8% to 1.1%. However, analyses in two replication cohorts testing a five-feature model did not support this association.Bipolar genetic loading appeared to be associated with bipolar-like presentation in major depressive disorder in the primary analysis. However, the results were at most inconclusive because of lack of replication. Replication efforts were challenged by different ascertainment and assessment strategies in the different cohorts. The methodological approach described here may prove useful in applying genetic data to clarify psychiatric nosology in future studies.

Project description:Background and Objectives: Depressive symptoms are prominent in both major depressive disorder (MDD) and bipolar disorder (BD). However, comparative research on the network structure of depressive symptoms in these two diagnostic groups has been limited. This study aims to compare the network structure of depressive symptoms in MDD and BD, providing a deeper understanding of the depressive symptomatology of each disorder. Materials and Methods: The Zung Self-Rating Depressive Scale, a 20-item questionnaire, was administered to assess the depressive symptoms in individuals with MDD (n = 322) and BD (n = 516). A network analysis was conducted using exploratory graph analysis (EGA), and the network structure was analyzed using regularized partial correlation models. To validate the dimensionality of the Zung SDS, principal component analysis (PCA) was adopted. Centrality measures of the depressive symptoms within each group were assessed, followed by a network comparison test between the two groups. Results: In both diagnostic groups, the network analysis revealed four distinct categories, aligning closely with the PCA results. "Depressed affect" emerged as the most central symptom in both MDD and BD. Furthermore, non-core symptoms, "Personal devaluation" in MDD and "Confusion" in BD, displayed strong centrality. The network comparison test did not reveal significant differences in the network structure between MDD and BD. Conclusions: The absence of significant differences in the network structures between MDD and BD suggests that the underlying mechanisms of depressive symptoms may be similar across these disorders. The identified central symptoms, including "Depressed affect", in both disorders and the distinct non-core symptoms in each highlight the complexity of the depressive symptomatology. Future research should focus on validating these symptoms as therapeutic targets and incorporate various methodologies, including non-metric dimension reduction techniques or canonical analysis.

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Utility of TEMPS-A in differentiation between major depressive disorder, bipolar I disorder, and bipolar II disorder.

Publications

Utility of TEMPS-A in differentiation between major depressive disorder, bipolar I disorder, and bipolar II disorder.

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