P.0878 First GWAS on affective temperaments points to new targets and mechanisms in the path to understanding affective disorders

2021 ◽  
Vol 53 ◽  
pp. S642-S643
Author(s):  
X. Gonda ◽  
N. Eszlari ◽  
D. Torok ◽  
Z. Gal ◽  
J. Bokor ◽  
...  
2017 ◽  
Vol 210 ◽  
pp. 19-21 ◽  
Author(s):  
Ross J. Baldessarini ◽  
Marco Innamorati ◽  
Denise Erbuto ◽  
Gianluca Serafini ◽  
Andrea Fiorillo ◽  
...  

2011 ◽  
Vol 26 (S2) ◽  
pp. 1644-1644
Author(s):  
G. Serafini ◽  
M. Pompili

IntroductionPatients with white matter hyperintensities (WMHs) may be at higher risk for affective disorders and suicidal behaviour and affective temperaments may play a significant role in mood disorders.Objectives, aims, methodsRecently, we conducted a study in a sample of 247 patients with major affective disorders consecutively admitted as psychiatric inpatients.ResultsWe found that those with higher dysthymia and lower hyperthymia were more likely to have higher BHS scores, more WMHs, higher MINI suicidal risk, and more recent suicide attempts than patients with higher hyperthymia and lower dysthymia. Previously, we have reported that depressive, cyclothymic, irritable and anxious temperaments are risk factors whereas the hyperthymic temperament is a protective factor for suicidal behaviour, at least for suicide attempters. This is in line with recent genetic studies showing that the short allele of serotonin transporter gene promoter (5-HTTLPR) was significantly related to depressive, cyclothymic, irritable and anxious temperaments (but not to the hyperthymic temperament) and individuals with the short allele of the 5-HTTLPR and major affective disorders have more microstructural white matter abnormalities in specific brain regions.ConclusionsIn subjects with mood disorders, some temperament profiles in addition to WMHs presumably play a critical role in the emergence of hopelessness and suicidal behaviour. Differences among temperament profiles associated with WMHs may be used as biological markers for clinically grouping subjects at higher risk both for the emergence of mood disorders and suicidal behaviour (highly lethal suicide attempts) and this may have relevant implications for treatment.


2020 ◽  
Vol 210 ◽  
pp. 19022
Author(s):  
Maxim Dmitriev ◽  
Ekaterina Nikitenko ◽  
Maria Mamedova ◽  
Nikita Spryshkov

Affective disorders are widespread among student youth. Anxiety and depression are the most common disorders, but thorough diagnostics reveals other emotional disturbances as well, which may imply bipolar disorder (BD). BD is associated with a wide range of adverse outcomes; therefore, it is important to identify masking symptoms that predict the onset and course of BD. One of the predictors of bipolar disorder is the temperament. The present study aimed to analyze the entire spectrum of affective disorders and determine the correlation between them and the affective temperaments. The study involved 106 medical students. They completed the following autoquestionnaires: PHQ-9, ASRM, GAD-7, ShARS, HCL-32 and TEMPS-A. Conducting analyses, the results of the HCL-32 questionnaire were statistically significantly correlating with the results of GAD-7 (p = 0.034) and the hyperthymic (p = 0.000), cyclothymic (p = 0.000) and excitable (p = 0.004) temperaments according to TEMPS-A. When dividing the total sample into two groups, based on the HCL-32 questionnaire data, a higher incidence of depressive disorders on the PHQ-9 scale (p = 0.023) was found among respondents who scored more than 14 points on the HCL-32. Almost half of the respondents showed a high level of hypomania, which implies a high risk of developing bipolar spectrum disorders. A statistically significant relationship between hypomania and personality traits was found with hyperthymic, cyclothymic and excitable temperaments. It is necessary to diagnose such disorders in time to improve the social functioning of the students.


2016 ◽  
Vol 33 (S1) ◽  
pp. S110-S110
Author(s):  
G. Serafini ◽  
B. Engel-Yeger ◽  
X. Gonda ◽  
M. Pompili ◽  
Z. Rihmer ◽  
...  

IntroductionMajor affective disorders ranging from subthreshold affective temperaments to severe affective diseases and anxiety, are frequently associated with sleep–wake dysregulation. Interestingly, recent studies suggested an active role of Sensory Processing Disorders (SPD) in the emergence of sleep disturbances.ObjectivesThe objective of this study was to investigate the relationship between SPD and sleep quality in subjects with major affective disorders and specific affective temperaments.AimsThis study aimed to examine the sensory profile (expressed in hypersensitivity or hyposensitivity) of patients with major affective disorders and its relative contribution to the prediction of sleep quality while also considering affective temperaments and depression, known as factors that may impact sleep quality.MethodsWe recruited 176 participants (mean age = 47.3) of which 56.8% have unipolar depression and 43.2% bipolar disorder. Reduced sleep quality was evaluated using the Pittsburgh Sleep Quality Index (PSQI) whereas affective temperaments were assessed using the Temperament Evaluation of Memphis, Pisa, Paris and San Diego (TEMPS).ResultsSensory hypersensitivity, assessed using Adolescent/Adult Sensory Profile (AASP), significantly distinguished between poor and good sleepers. Sleep quality was mainly predicted by the Beck Depression Inventory-II total score and anxious temperament. Yet, sensory hypersensitivity contributed to this prediction mainly in regard to sleep efficiency and related daytime dysfunctions.ConclusionsThe careful assessment of the unique sensory profile and its behavioral/functional influence on patients’ quality of life may help clinicians and health providers in developing targeted treatment interventions.Disclosure of interestThe authors have not supplied their declaration of competing interest.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xenia Gonda ◽  
Nora Eszlari ◽  
Dora Torok ◽  
Zsofia Gal ◽  
Janos Bokor ◽  
...  

AbstractAlthough recently a large-sample GWASs identified significant loci in the background of depression, the heterogeneity of the depressive phenotype and the lack of accurate phenotyping hinders applicability of findings. We carried out a pilot GWAS with in-depth phenotyping of affective temperaments, considered as subclinical manifestations and high-risk states for affective disorders, in a general population sample of European origin. Affective temperaments were measured by TEMPS-A. SNP-level association was assessed by linear regression models, assuming an additive genetic effect, using PLINK1.9. Gender, age, the first ten principal components (PCs) and the other four temperaments were included in the regression models as covariates. SNP-level relevances (p-values) were aggregated to gene level using the PEGASUS method1. In SNP-based tests, a Bonferroni-corrected significance threshold of p ≤ 5.0 × 10−8 and a suggestive significance threshold of p ≤ 1.0 × 10−5, whereas in gene-based tests a Bonferroni-corrected significance of 2.0 × 10−6 and a suggestive significance of p ≤ 4.0 × 10−4 was established. To explore known functional effects of the most significant SNPs, FUMA v1.3.5 was used. We identified 1 significant and 21 suggestively significant SNPs in ADGRB3, expressed in the brain, for anxious temperament. Several other brain-relevant SNPs and genes emerged at suggestive significance for the other temperaments. Functional analyses reflecting effect on gene expression and participation in chromatin interactions also pointed to several genes expressed in the brain with potentially relevant phenotypes regulated by our top SNPs. Our findings need to be tested in larger GWA studies and candidate gene analyses in well-phenotyped samples in relation to affective disorders and related phenotypes.


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