Journal of affective disorders最新文献

{"title":"Exploring the relationship between atenolol use and depression: A network pharmacology approach using NHANES data","authors":"Yuhan Cao ,&nbsp;Ziqi Wang ,&nbsp;Yan Li","doi":"10.1016/j.jad.2025.119675","DOIUrl":"10.1016/j.jad.2025.119675","url":null,"abstract":"<div><h3>Background</h3><div>Atenolol, a β-blocker, offers significant cardiovascular benefits, but its potential association with depression remains unclear.</div></div><div><h3>Objective</h3><div>The goal of this study is to investigate the relationship between atenolol use and depression, exploring underlying mechanisms through network pharmacology.</div></div><div><h3>Method</h3><div>Data from 11,057 adult participants in the NHANES database (2005–2018) were analyzed. Participants were categorized by their use of atenolol, and depression levels were evaluated using the PHQ-9 scale. Logistic regression was used to analyze the association between atenolol use and depression. Additionally, network pharmacology methods were used to identify potential targets and pathways related to the neuropsychiatric effects of atenolol.</div></div><div><h3>Results</h3><div>A significant link was observed between atenolol use and depression (OR = 2.02, 95 % CI: 1.13–3.59) in the fully adjusted model, with a stronger association in the 40–64 years age group. Network pharmacology identified 19 core targets related to depression, including MAOB, ADRB2, DRD2, and SLC6A3, which showed strong binding affinities with atenolol. Enrichment analysis suggested that atenolol may influence the onset of depression by modulating biological processes such as G protein-coupled receptor signaling and monoamine transport.</div></div><div><h3>Conclusions</h3><div>Our findings indicate a positive correlation between atenolol use and depression, particularly among individuals in the middle-aged demographic. It is important to monitor the mental health of patients when prescribing atenolol.</div></div>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":"389 ","pages":"Article 119675"},"PeriodicalIF":4.9,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144293711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improved decision-making in patients with mood disorders following Transcranial Direct Current Stimulation (tDCS) applied to the left orbitofrontal cortex: A proof-of-concept study","authors":"M. Danon ,&nbsp;R. Perrain ,&nbsp;Ph. Gorwood ,&nbsp;F. Jollant","doi":"10.1016/j.jad.2025.119682","DOIUrl":"10.1016/j.jad.2025.119682","url":null,"abstract":"<div><div>Deficits in decision-making is found in several mental disorders, including anorexia nervosa, addiction, mood disorders, and suicidal behavior. Improving decision-making is a relevant therapeutic objective to reduce vulnerability and risky behaviors. Transcranial Direct Current Stimulation (tDCS) is a simple and non-invasive technique that allows for the stimulation of a cortical area of interest. Previous studies have shown that tDCS of the orbitofrontal cortex (OFC) in healthy volunteers improves decision-making in the short-term. We aimed to demonstrate this short-term effect in patients with a mood disorder. This was a prospective, single-center, interventional, randomized controlled trial (<span><span>ClinicalTrial.gov</span><svg><path></path></svg></span> <span><span>NCT06110559</span><svg><path></path></svg></span>) with two parallel arms (active vs sham stimulation) in a single-blind design. tDCS was applied during 30 min over the left OFC (anode Fp1/cathode Fp2). The primary outcome was a change in the net score on the Iowa Gambling Task (IGT) measured immediately before and after stimulation. Sixty-two patients were randomized to receive active (<em>N</em> = 30) or sham (<em>N</em> = 32) stimulation. We observed a significant improvement in IGT net score in the active vs sham arm (time*arm interaction χ² = 4.10; <em>p</em> = .043). No significant change at other cognitive tasks (d2, Go/No-Go, Emotional Stroop) or self-rating perceived emotion questionnaires (PANAS, STAI-Y-A) was found. Patients did not correctly guess the treatment arm. These preliminary findings support the use of tDCS over the OFC to improve decision-making in patients with mood disorders. Future studies should assess the best strategies for sustained improvement, and the naturalistic consequences in terms of real-life decision-making and functioning.</div></div>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":"389 ","pages":"Article 119682"},"PeriodicalIF":4.9,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144293724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to \"A case for the use of deep learning algorithms for individual and population level assessments of mental health disorders: Predicting depression among China's elderly\" [J. Affect. Disord. Volume 369, 15 January 2025, Pages 329-337].","authors":"Yingjie Wang, Xuzhe Wang, Li Zhao, Kyle Jones","doi":"10.1016/j.jad.2025.02.070","DOIUrl":"10.1016/j.jad.2025.02.070","url":null,"abstract":"","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":" ","pages":"916"},"PeriodicalIF":4.9,"publicationDate":"2025-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143537162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to \"Childhood maltreatment, trait resilience and prenatal distress among expecting mothers and fathers in the FinnBrain birth cohort study\" [J. Affect. Disord. 344, (2024) pages 41-47].","authors":"Viivi Mondolin, Hasse Karlsson, Jetro J Tuulari, Juho Pelto, Linnea Karlsson, Elisabeth Nordenswan, Eeva-Leena Kataja","doi":"10.1016/j.jad.2025.02.035","DOIUrl":"10.1016/j.jad.2025.02.035","url":null,"abstract":"","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":" ","pages":"915"},"PeriodicalIF":4.9,"publicationDate":"2025-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143449219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to \"Trajectories of Chinese adolescent depression before and after COVID-19: A cross-temporal meta-analysis with segmented regression\" [J. Affect. Disord. 373 (2025) 333-344].","authors":"Xiayu Du, Hanzhang Wu, Sailigu Yalikun, Jiayi Li, Jiaojiao Jia, Tieyu Duan, Zongkui Zhou, Zhihong Ren","doi":"10.1016/j.jad.2025.01.106","DOIUrl":"10.1016/j.jad.2025.01.106","url":null,"abstract":"","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":" ","pages":"914"},"PeriodicalIF":4.9,"publicationDate":"2025-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143038234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning models for diagnosis and risk prediction in eating disorders, depression, and alcohol use disorder.","authors":"Zuo Zhang, Lauren Robinson, Robert Whelan, Lee Jollans, Zijian Wang, Frauke Nees, Congying Chu, Marina Bobou, Dongping Du, Ilinca Cristea, Tobias Banaschewski, Gareth J Barker, Arun L W Bokde, Antoine Grigis, Hugh Garavan, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Dimitri Papadopoulos Orfanos, Luise Poustka, Sarah Hohmann, Sabina Millenet, Juliane H Fröhner, Michael N Smolka, Nilakshi Vaidya, Henrik Walter, Jeanne Winterer, M John Broulidakis, Betteke Maria van Noort, Argyris Stringaris, Jani Penttilä, Yvonne Grimmer, Corinna Insensee, Andreas Becker, Yuning Zhang, Sinead King, Julia Sinclair, Gunter Schumann, Ulrike Schmidt, Sylvane Desrivières","doi":"10.1016/j.jad.2024.12.053","DOIUrl":"10.1016/j.jad.2024.12.053","url":null,"abstract":"<p><strong>Background: </strong>Early diagnosis and treatment of mental illnesses is hampered by the lack of reliable markers. This study used machine learning models to uncover diagnostic and risk prediction markers for eating disorders (EDs), major depressive disorder (MDD), and alcohol use disorder (AUD).</p><p><strong>Methods: </strong>Case-control samples (aged 18-25 years), including participants with Anorexia Nervosa (AN), Bulimia Nervosa (BN), MDD, AUD, and matched controls, were used for diagnostic classification. For risk prediction, we used a longitudinal population-based sample (IMAGEN study), assessing adolescents at ages 14, 16 and 19. Regularized logistic regression models incorporated broad data domains spanning psychopathology, personality, cognition, substance use, and environment.</p><p><strong>Results: </strong>The classification of EDs was highly accurate, even when excluding body mass index from the analysis. The area under the receiver operating characteristic curves (AUC-ROC [95 % CI]) reached 0.92 [0.86-0.97] for AN and 0.91 [0.85-0.96] for BN. The classification accuracies for MDD (0.91 [0.88-0.94]) and AUD (0.80 [0.74-0.85]) were also high. The models demonstrated high transdiagnostic potential, as those trained for EDs were also accurate in classifying AUD and MDD from healthy controls, and vice versa (AUC-ROCs, 0.75-0.93). Shared predictors, such as neuroticism, hopelessness, and symptoms of attention-deficit/hyperactivity disorder, were identified as reliable classifiers. In the longitudinal population sample, the models exhibited moderate performance in predicting the development of future ED symptoms (0.71 [0.67-0.75]), depressive symptoms (0.64 [0.60-0.68]), and harmful drinking (0.67 [0.64-0.70]).</p><p><strong>Conclusions: </strong>Our findings demonstrate the potential of combining multi-domain data for precise diagnostic and risk prediction applications in psychiatry.</p>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":" ","pages":"889-899"},"PeriodicalIF":4.9,"publicationDate":"2025-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7617286/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142864262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to \"Neural evidence of implicit emotion regulation deficits: An explorative study of comparing PTSD with and without alcohol dependence\" [J. Affect. Disord. 372 (2025) 548-563].","authors":"Junrong Zhao, Yunxiao Guo, Yafei Tan, Yuyi Zhang, Sijun Liu, Yinong Liu, Jiayi Li, Jun Ruan, Lianzhong Liu, Zhihong Ren","doi":"10.1016/j.jad.2025.01.105","DOIUrl":"10.1016/j.jad.2025.01.105","url":null,"abstract":"","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":" ","pages":"913"},"PeriodicalIF":4.9,"publicationDate":"2025-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143037719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Interactive effect of sleep duration, lifestyle factors and comorbidity on depressive symptoms: Insights from the China health and retirement longitudinal study.","authors":"Changyu Ju, Chunrong Huang, Xiaodong Liu, Juming Liu","doi":"10.1016/j.jad.2025.01.024","DOIUrl":"10.1016/j.jad.2025.01.024","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;As population aging intensifies, depression emerges as a major global public health issue, especially affecting middle-aged and elderly individuals. While studies have investigated factors like sleep duration, physical activity, smoking, drinking habits, and comorbidity, the complex interplay and cumulative effect of these factors on the risk of depressive symptoms remain not fully understood.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;This research utilizes data from the China Health and Retirement Longitudinal Study (CHARLS), encompassing observations from 2015 to 2020. The subjects included 8234 middle-aged and elderly individuals, accounting for a total of 22,570 observations. Lifestyle factors were represented by physical activity, smoking, and drinking habits, with the volume of moderate-to-vigorous physical activity (MVPA) quantified by quoting metabolic equivalents (MET). Multivariate logistic regression models were conducted for baseline analysis, and mixed-effects logistic regression models with random participant intercepts were constructed for the longitudinal analysis of the cohort. Moreover, interaction terms between these factors were included to assess their combined impact on the risk of depressive symptoms.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Longitudinal analysis revealed a notable correlation between short sleep duration (&lt;7 h) and an elevated risk of depressive symptoms, evidenced by an adjusted odds ratio (OR) of 3.13 (95 % CI: 2.73-3.74). Conversely, long sleep duration (&gt;9 h) was not associated with a marked change in risk of depressive symptoms (OR = 1.11, 95 % CI: 0.78-1.59, p = 0.59). High levels of physical activity (192-336 MET-h/week) were significantly linked to an elevated risk of depressive symptoms (OR = 1.70, 95 % CI: 1.19-2.42). Discontinuing smoking was significantly correlated with a lower risk of depressive symptoms (OR = 0.68, 95 % CI: 0.52-0.90). Subjects with two or more concurrent conditions exhibited a substantially higher risk of depressive symptoms (OR = 3.19, 95 % CI: 3.13-3.25). Investigating the combined influence of sleep duration, lifestyle elements, and concurrent conditions revealed that enhanced physical activity levels significantly decreased risk of depressive symptoms in participants with short sleep duration, adjusting the OR from 3.16 to 0.83 (95 % CI, 0.53-1.30). Among participants with short sleep duration, smoking and alcohol consumption patterns were linked to a decreased risk of depressive symptoms, although these associations lacked statistical significance. Relative to subjects without concurrent conditions, those harboring two or more such conditions faced a significantly heightened risk of depressive symptoms in the context of short sleep duration (OR = 3.00, 95 % CI: 2.24-4.03), a risk not observed in subjects with extended sleep duration. Moderate napping (0.5-1 h) among participants with short sleep duration was found to significantly mitigate risk of depressi","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":" ","pages":"900-912"},"PeriodicalIF":4.9,"publicationDate":"2025-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142964952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “Consequence of child and adolescent depressive symptom trajectories for adult depressive disorders and symptoms: A systematic review & meta-analysis” [J. Affective Disorders 363 (2024) 643–652/17869]","authors":"H.J. Portogallo ,&nbsp;D.R. Skvarc ,&nbsp;L.A. Shore ,&nbsp;J.W. Toumbourou","doi":"10.1016/j.jad.2025.119608","DOIUrl":"10.1016/j.jad.2025.119608","url":null,"abstract":"","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":"389 ","pages":"Article 119608"},"PeriodicalIF":4.9,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144279237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Causal mediation analysis of the role of platelet count in the association between depression and mortality in US adults","authors":"Zhiyi Wang ,&nbsp;Xiaojing Teng","doi":"10.1016/j.jad.2025.119689","DOIUrl":"10.1016/j.jad.2025.119689","url":null,"abstract":"<div><h3>Background</h3><div>Depression is linked to increased mortality, but the underlying mechanisms remain unclear. Recent evidence suggests that elevated platelet count is independently associated with increased risk of mortality, potentially through prothrombotic and inflammatory pathways. This study investigates the mediating role of platelet count in the relationship between depression severity (PHQSCORE) and all-cause mortality.</div></div><div><h3>Method</h3><div>Data from 34,758 participants in the National Health and Nutrition Examination Survey were analyzed. Depression severity was measured using the 9-item Patient Health Questionnaire (PHQ-9), and the total score was referred to as PHQSCORE. Descriptive statistics and Cox proportional hazards models were used to examine the association between categorical PHQSCORE and all-cause mortality, adjusting for demographic, lifestyle, and laboratory variables. Causal mediation analysis assessed the indirect effect of PHQSCORE on mortality through platelet count.</div></div><div><h3>Results</h3><div>Descriptive analysis showed that higher PHQSCORE was associated with increased rates of obesity, smoking, diabetes, and elevated platelet count, all linked to higher mortality. In Cox regression, participants with PHQSCORE 5–9, 10–14, and ≥ 15 had significantly higher mortality risks compared to those with PHQSCORE &lt;5, with adjusted hazard ratios of 1.31 (95 % CI: 1.19–1.44), 1.62 (95 % CI: 1.41–1.87), and 1.51 (95 % CI: 1.25–1.81), respectively (all <em>P</em> &lt; 0.0001). Causal mediation analysis revealed that platelet count mediated 22 % of the total effect of PHQSCORE on mortality (proportion mediated = −0.22, <em>P</em> &lt; 0.0001).</div></div><div><h3>Conclusion</h3><div>These findings suggest that platelet count mediates the relationship between depression and mortality, providing new insights into the mechanisms linking depression to health outcomes and suggesting potential targets for future interventions.</div></div>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":"389 ","pages":"Article 119689"},"PeriodicalIF":4.9,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144297751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}