Journal of affective disorders最新文献

{"title":"Trends in depressive and anxiety disorders among adolescents and young adults (aged 10–24) from 1990 to 2021: A global burden of disease study analysis","authors":"Zhang Dongjun ,&nbsp;Wu Mingyue ,&nbsp;Li Xinqi ,&nbsp;Wang Lina ,&nbsp;Wu Jiali ,&nbsp;Jin Mengyao","doi":"10.1016/j.jad.2025.119491","DOIUrl":"10.1016/j.jad.2025.119491","url":null,"abstract":"<div><h3>Objective</h3><div>To assess long-term trends in the burden of depression and anxiety among individuals aged 10–24 years from 1990 to 2021, and to examine disparities across socio-demographic levels using data from the Global Burden of Disease (GBD) Study 2019 and 2021.</div></div><div><h3>Methods</h3><div>We performed a retrospective ecological trend analysis using Joinpoint regression models to estimate the Average Annual Percent Change (AAPC) in incidence and disability-adjusted life years (DALYs). Inequalities across countries were evaluated using the slope index of inequality (SII) and the concentration index (CI). Analyses were stratified by age group, sex, geographic region, country, and Socio-demographic Index (SDI) level.</div></div><div><h3>Results</h3><div>Between 1990 and 2021, the global AAPC of depression and anxiety disorders ranged from 0.80 % to 0.97 %, with a marked acceleration from 2014 to 2021, peaking in 2019. The burden was consistently higher in females, though the growth rate of male depression was steeper. The fastest increase in depression was observed in the 10–14 age group, and in anxiety among those aged 20–24. Regionally, high-income North America showed the greatest increase in depression, while Andean Latin America exhibited the highest rise in anxiety. High SDI countries experienced greater burden growth, whereas East Asia saw the slowest. Although relative inequality decreased, absolute inequality across countries widened over time.</div></div><div><h3>Conclusions</h3><div>The burden of depression and anxiety among adolescents and young adults has increased substantially, especially in high SDI countries. These trends vary significantly by sex, age, and region, highlighting the need for context-specific mental health interventions.</div></div>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":"387 ","pages":"Article 119491"},"PeriodicalIF":4.9,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144181616","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":"A transdiagnostic dimensional approach to behavioral dysregulation: Examining self-reported reward and punishment sensitivity across psychopathology","authors":"Taiki Oka ,&nbsp;Akihiro Sasaki ,&nbsp;Nao Kobayashi","doi":"10.1016/j.jad.2025.119493","DOIUrl":"10.1016/j.jad.2025.119493","url":null,"abstract":"<div><h3>Aim</h3><div>Theoretically, deficits in reward/punishment sensitivity are considered an essential component associated with behavioral dysregulation, which is characteristic of compulsive-impulsive disorders. However, recent studies have indicated that several disorders are linked to problems with reward/punishment sensitivity, and their results have been inconsistent. This lack of clinical specificity and robustness might reflect more general problems with traditionally diagnostic categories of psychiatry. To address these concerns, we investigated whether a transdiagnostic dimensional approach could more effectively examine clinical associations related to reward/punishment sensitivity for behavioral dysregulation.</div></div><div><h3>Methods</h3><div>Using multiple psychiatric symptom scores and reward/punishment sensitivity in online general-population samples (<em>N</em> = 19,505), we applied factor analyses to extract transdiagnostic symptom dimensions. Then, we conducted a mixed-effect generalized linear model to examine the relationships between psychopathology and reward/punishment sensitivity.</div></div><div><h3>Results</h3><div>We extracted three transdiagnostic dimensions, which were validated between two separate datasets: ‘Compulsive hypersensitivity (CH), ‘Social withdrawal (SW),’ and ‘Addictive behavior (AB).’ While SW was associated with reward sensitivity negatively and punishment sensitivity positively, AB showed opposite associations. On the other hand, CH was positively associated with both sensitivities.</div></div><div><h3>Conclusion</h3><div>Our results highlight the importance of reward/punishment sensitivity for our understanding of behavioral dysregulation, especially in the compulsive-impulsive dimension. Moreover, these findings underscore how transdiagnostic perspectives contribute to a more powerful examination of reward/punishment deficits than studies focusing on a categorical disorder.</div></div>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":"387 ","pages":"Article 119493"},"PeriodicalIF":4.9,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144167796","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":"The interplay among nonsuicidal self-injury, depression, loneliness, resilience, and family relationships in youth: A path analysis","authors":"Dagani Jessica ,&nbsp;Lanfredi Mariangela ,&nbsp;Bonfiglio Natale Salvatore ,&nbsp;Geviti Andrea ,&nbsp;Albini Donatella ,&nbsp;Bussolati Maria ,&nbsp;Di Cosimo Federica ,&nbsp;Anfosso Thomas ,&nbsp;Loi Erika ,&nbsp;Fazzi Elisa ,&nbsp;Ghidoni Roberta ,&nbsp;Ghilardi Alberto ,&nbsp;Pizzi Marina ,&nbsp;Rillosi Luciana ,&nbsp;Vita Antonio ,&nbsp;Rossi Roberta","doi":"10.1016/j.jad.2025.119541","DOIUrl":"10.1016/j.jad.2025.119541","url":null,"abstract":"<div><h3>Background</h3><div>Recent research has increasingly highlighted the complex interplay among depression, loneliness, and non-suicidal self-injury (NSSI). Resilience and family relationships have emerged as potential protective factors in mitigating these mental health challenges.</div></div><div><h3>Methods</h3><div>This study investigated the associations among depression, loneliness, NSSI, resilience, and family relationships in a sample of 7146 Italian high school and university students. Participants completed a multidimensional online survey featuring standardized instruments to assess depressive symptoms, loneliness and resilience. Spearman correlations and path analysis were employed to examine the interrelationships among these variables.</div></div><div><h3>Results</h3><div>A substantial proportion of participants reported clinically significant depressive symptoms (42.8 %) and NSSI behaviours (28.4 %). Path analysis revealed a strong positive effect of depressive symptoms on both loneliness and NSSI, alongside a pronounced negative effect on satisfaction with family relationships and resilience. Loneliness significantly reduced satisfaction with family relationships and resilience, while the impact on NSSI was significant, but minimal. Family relationships exhibited a significant but modest negative effect on NSSI behaviours.</div></div><div><h3>Limitations</h3><div>The generalizability of the sample and the potential biases inherent in self-report measures are addressed.</div></div><div><h3>Conclusions</h3><div>This study highlights the intricate interplay between depressive symptoms, loneliness, NSSI, resilience, and family relationships in a large sample of Italian adolescents and young adults. The findings emphasize the need for comprehensive interventions targeting these factors to enhance mental health and well-being.</div></div>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":"387 ","pages":"Article 119541"},"PeriodicalIF":4.9,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144168112","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":"Associations of exposure to heatwaves with depression and anxiety among adolescents: A cross-sectional study of the Chinese adolescent health survey","authors":"Jie Hu ,&nbsp;Wei Hu ,&nbsp;Zixuan Xu ,&nbsp;Chang Peng ,&nbsp;Junhan Cheng ,&nbsp;Fajuan Rong ,&nbsp;Yan Wang ,&nbsp;Nan Zhang ,&nbsp;Meiqi Guan ,&nbsp;Yizhen Yu","doi":"10.1016/j.jad.2025.119499","DOIUrl":"10.1016/j.jad.2025.119499","url":null,"abstract":"<div><h3>Background</h3><div>Limited research has examined the relationship between heatwaves and adolescent mental health, particularly depression and anxiety. This study aimed to explore the relationship between heatwaves and depression and anxiety.</div></div><div><h3>Methods</h3><div>We conducted a cross-sectional study including 19,852 adolescents (mean age 15.16 years; 50.2 % females). Air temperature data were from the fifth generation European ReAnalysis-Land (ERA5-Land) dataset. Heat exposure was assessed using three heatwave metrics: The excess heat factor-based (HWM1), maximum temperature-based (HWM2), and minimum temperature-based (HWM3) heatwave magnitude indices. Depression and anxiety were assessed using the PHQ-9 and GAD-7 scales. Subgroup analyses evaluated interactions with sex, grade and region of school.</div></div><div><h3>Results</h3><div>Depression and anxiety prevalence were 19.37 % and 16.27 %, respectively. Heatwaves were associated with depression (OR [95 % CI]: 1.13 [1.09–1.17]) and anxiety (OR [95 % CI]: 1.12 [1.08–1.16]) based on HWM1. Significant associations existed for depression alone (OR [95 % CI]: 1.14 [1.09–1.20]), anxiety alone (OR [95 % CI]: 1.13 [1.06–1.21]), and comorbid depression and anxiety (OR [95 % CI]: 1.13 [1.09–1.18]). Associations using HWM2 and HWM3 showed consistent directions but varied significance. We observed significant interactions between heatwaves and sex for anxiety alone, and between heatwaves and region of school for both depression alone and comorbid depression-anxiety (all P for interaction &lt;0.05).</div></div><div><h3>Limitations</h3><div>The cross-sectional design constrained our capacity to draw causal inferences.</div></div><div><h3>Conclusions</h3><div>Heatwaves were associated with a significant of prevalence depression, anxiety, and their comorbidity, with males and rural students potentially more susceptible to these effects.</div></div>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":"387 ","pages":"Article 119499"},"PeriodicalIF":4.9,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144168113","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":"Emotion regulation deficits in skin picking (excoriation) disorder: A systematic review","authors":"Kathryn E. Barber,&nbsp;Jacklynn M. Fitzgerald","doi":"10.1016/j.jad.2025.119500","DOIUrl":"10.1016/j.jad.2025.119500","url":null,"abstract":"<div><div>Skin picking disorder (SPD) is a psychiatric condition characterized by repetitive skin picking that results in skin damage, emotional distress, and functional impairment. Emotion regulation is theorized to play a key role in the development and persistence of SPD, yet no prior review has synthesized findings on this relationship. This systematic review evaluates research on emotion regulation in SPD, specifically examining (1) differences in emotion regulation between individuals with SPD and healthy controls, (2) associations between emotion regulation and SPD symptom severity, and (3) links between emotion regulation and picking styles (focused and automatic). Following PRISMA guidelines, a systematic search of PsycINFO, PubMed, and Embase identified 19 studies that met inclusion criteria. Findings indicate that individuals with SPD consistently exhibit greater emotion regulation difficulties compared to healthy controls. Those with SPD also tend to use certain emotion regulation strategies such as cognitive reappraisal less frequently. Results regarding the relationship between emotion dysregulation and overall SPD symptom severity are mixed. Emotion dysregulation is more strongly associated with focused picking (intentional, affect-driven) than with automatic (occurring outside of immediate awareness). These findings underscore the importance of emotion regulation in SPD and suggest that targeting emotion regulation may be beneficial in therapeutic interventions for SPD.</div></div>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":"388 ","pages":"Article 119500"},"PeriodicalIF":4.9,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144181834","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":"Multiband EEG signatures decoded using machine learning for predicting rTMS treatment response in MDD","authors":"Alexander Arteaga ,&nbsp;Xiaoyu Tong ,&nbsp;Kanhao Zhao ,&nbsp;Nancy B. Carlisle ,&nbsp;Desmond J. Oathes ,&nbsp;Gregory A. Fonzo ,&nbsp;Corey J. Keller ,&nbsp;Yu Zhang","doi":"10.1016/j.jad.2025.119483","DOIUrl":"10.1016/j.jad.2025.119483","url":null,"abstract":"<div><h3>Background</h3><div>Repetitive transcranial magnetic stimulation (rTMS) is a promising treatment for major depression disorder (MDD), particularly for treatment-resistant cases. However, identifying translatable biomarkers predictive of treatment outcomes remains underexplored.</div></div><div><h3>Methods</h3><div>Participants with treatment resistant depression from the TDBRAIN dataset underwent either high frequency rTMS (10 Hz) at the left dorsolateral prefrontal cortex (DLPFC) (Protocol 1, <em>n</em> = 44) or low frequency rTMS (1 Hz) at the right DLPFC (Protocol 2, <em>n</em> = 73). Pre-treatment electroencephalograms (EEG) was collected, and changes in Beck Depression Inventory were measured post-treatment. EEG oscillations were decomposed into multiband intrinsic mode functions (IMF) and integrated under a latent space predictive modeling framework to identify signatures for predicting treatment outcomes.</div></div><div><h3>Results</h3><div>Multiband signatures significantly predicted rTMS outcomes (Protocol 1: <em>r</em> = 0.40, <em>p</em> &lt; 0.01; Protocol 2: <em>r</em> = 0.26, <em>p</em> &lt; 0.05). Key spatial patterns linked to treatment outcomes were identified, revealing three main oscillations: IMF-Alpha, IMF-Beta, and the residual signal. In Protocol 1, critical regions included the left frontal and parietal regions for IMF-Alpha, left frontal-central and right parietal regions for IMF-Beta, and bi-hemispheric central and left parietal-occipital regions for residual signals. In Protocol 2, critical regions involved the left frontal and parietal regions for IMF-Alpha, left frontal-central region IMF-Beta, and right frontal, left frontal-central, midline central, and left parietal-occipital regions for residual signals. These oscillatory features also showed correlations with specific personality measures, suggesting their potential clinical relevance.</div></div><div><h3>Conclusion</h3><div>Our findings demonstrate the promise of machine learning-driven multiband EEG signatures for personalized MDD treatment prediction, offering a translatable pathway for improved patient outcomes.</div></div>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":"388 ","pages":"Article 119483"},"PeriodicalIF":4.9,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144179941","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":"The prevalence, risk factors, awareness and treatment of depression and anxiety among adults aged 30 years and older in rural China: a cross-sectional study","authors":"Wei Tian ,&nbsp;Guangcan Yan ,&nbsp;Xinyi Zhang ,&nbsp;Dong Shui ,&nbsp;Tingzhuo Liu ,&nbsp;Jiajuan Yang ,&nbsp;Zhifang Li ,&nbsp;Huinan Hou ,&nbsp;Pei Zhang ,&nbsp;Chi Hu ,&nbsp;Tianyou Hao ,&nbsp;Mingjia Bao ,&nbsp;Pengpeng Ye ,&nbsp;Wei Jiang ,&nbsp;Shangzhi Xiong ,&nbsp;Lijing L. Yan ,&nbsp;Wenjing Tian ,&nbsp;Jing Zhang ,&nbsp;Ding Ding ,&nbsp;Wenran Zhao ,&nbsp;Maoyi Tian","doi":"10.1016/j.jad.2025.119516","DOIUrl":"10.1016/j.jad.2025.119516","url":null,"abstract":"<div><h3>Background</h3><div>Depression and anxiety are the most common mental disorders in China, contributing to a substantial disease burden.</div></div><div><h3>Methods</h3><div>This cross-sectional survey was conducted in 240 villages from three provinces in rural China among adults aged 30 years and older. Depression and anxiety were based on self-reported diagnosis, self-reported use of medications, identified diagnosis from health insurance claims, and assessment via validated questionnaires. Prevalence, awareness and treatment rates were estimated. Logistic regression models were used to identify potential risk factors.</div></div><div><h3>Results</h3><div>A total of 6474 participants were included in this study, with 38.9 % aged ≥60 years and 50.9 % being female. The crude prevalence of depression and anxiety among middle-aged and older individuals was 4.9 % and 2.9 %, respectively. Individuals from Heilongjiang had a higher prevalence than those from Shanxi and Hubei for both depression (8.5 % vs. 4.6 % and 1.7 %) and anxiety (4.6 % vs. 2.8 % and 1.3 %). Many risk factors were significantly associated with an increased risk of depression and anxiety. Among individuals with depression, 33 (10.3 %) out of 321 were aware of being diagnosed, and 18 (5.6 %) used antidepressants. Among those with anxiety, 38 (20.0 %) out of 190 were aware of a diagnosis, and 21 (11.1 %) received treatment with anxiolytics.</div></div><div><h3>Conclusions</h3><div>The extremely low awareness and treatment rates indicate a significant unmet need for mental health services. Government and other stakeholders should raise the awareness of mental health among the communities and implement strategies to improve accessibility to services, to reduce health inequities and the stigma associated with mental disorders.</div></div>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":"387 ","pages":"Article 119516"},"PeriodicalIF":4.9,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144167798","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":"Decomposing the association between caregiver burden and depressive symptoms in family caregivers of older adults: A network analysis","authors":"Nicolas Wrede ,&nbsp;Nils F. Töpfer ,&nbsp;Gabriele Wilz ,&nbsp;Klaus Pfeiffer","doi":"10.1016/j.jad.2025.119547","DOIUrl":"10.1016/j.jad.2025.119547","url":null,"abstract":"<div><h3>Background</h3><div>Caregiver burden is a well-established risk factor for depressive symptoms in family caregivers of older adults. However, previous research has predominantly relied on global sum scores, which may obscure specific patterns of association between distinct components of caregiver burden and depression. Network analysis offers a promising approach to reveal more granular insights by examining interactions between specific components of the constructs.</div></div><div><h3>Method</h3><div>This study employed an integrative data analysis approach, pooling baseline data of family caregivers of older adults from three randomized controlled trials (<em>N</em> = 681). A regularized Gaussian Graphical Model was estimated, incorporating 10 caregiver burden components (SCQ-AV) and 15 depressive symptoms (CES-D). Bridge node centrality and significant edges were examined to identify key components linking caregiver burden to depressive symptoms.</div></div><div><h3>Results</h3><div>The network analysis identified mood deterioration, social isolation, constant worrying, and health strain as key bridge nodes within the caregiver burden cluster. Notable associations of these bridge nodes with depressive symptoms included mood deterioration with depressed mood, social isolation with loneliness and anhedonia, constant worry with fearfulness, and health strain with fatigue.</div></div><div><h3>Limitations</h3><div>Cross-sectional design precludes inferences about directionality or causality.</div></div><div><h3>Conclusion</h3><div>The findings suggest several unique component-level pathways between caregiver burden and depressive symptoms. Conceptualizing caregiver burden and depression as a network of interacting components provides important insights beyond global sum scores.</div></div>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":"387 ","pages":"Article 119547"},"PeriodicalIF":4.9,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144154661","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":"Functional connectome-based predictive modeling of suicidal ideation","authors":"Lynnette A. Averill ,&nbsp;Amanda J.F. Tamman ,&nbsp;Samar Fouda ,&nbsp;Christopher L. Averill ,&nbsp;Samaneh Nemati ,&nbsp;Anya Ragnhildstveit ,&nbsp;Savannah Gosnell ,&nbsp;Teddy J. Akiki ,&nbsp;Ramiro Salas ,&nbsp;Chadi G. Abdallah","doi":"10.1016/j.jad.2025.119518","DOIUrl":"10.1016/j.jad.2025.119518","url":null,"abstract":"<div><div>Suicide represents an egregious threat to society despite major advancements in medicine, in part due to limited knowledge of the biological mechanisms of suicidal behavior. We apply a connectome predictive modeling machine learning approach to identify a reproducible brain network associated with suicidal ideation in the hopes of demonstrating possible targets for novel anti-suicidal therapeutics. Patients were recruited from an inpatient facility at The Menninger Clinic, in Houston, Texas (<em>N</em> = 261; 181 with active and specific suicidal ideation) and had a current major depressive episode and recurrent major depressive disorder, underwent resting-state functional magnetic resonance imaging. The participants' ages ranged from 18 to 70 (mean <em>±</em> <em>SEM</em> = 31.6 <em>±</em> <em>0.8</em> years) and 136 (52 %) were males. Using this approach, we found a robust and reproducible biomarker of suicidal ideation relative to controls without ideation, showing that increased suicidal ideation was associated with greater internal connectivity and reduced internetwork external connectivity in the central executive, default mode, and dorsal salience networks. We also found evidence for higher external connectivity between ventral salience and sensorimotor/visual networks as being associated with increased suicidal ideation. Overall, these observed differences may reflect reduced network integration and higher segregation of connectivity in individuals with increased suicide risk. Our findings provide avenues for future work to test novel drugs targeting these identified neural alterations, for instance drugs that increase network integration.</div></div>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":"387 ","pages":"Article 119518"},"PeriodicalIF":4.9,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144181643","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":"Uncovering safety signals of duloxetine: Real-world evidence from the FAERS database","authors":"Dan Liu ,&nbsp;Na Li ,&nbsp;Liang Liu ,&nbsp;Linghe Qiu ,&nbsp;Zhenhe Zhou ,&nbsp;Jianhong Wu","doi":"10.1016/j.jad.2025.119517","DOIUrl":"10.1016/j.jad.2025.119517","url":null,"abstract":"<div><div>Duloxetine, a widely used antidepressant, has not been adequately studied for its long-term adverse effects. This study aims to characterize the long-term safety of duloxetine in the real world. FAERS data from Q1 2004 to Q3 2024 were retrieved, covering adverse event (AEs) reports related to duloxetine. The data were analyzed using algorithms such as ROR, PRR, BCPNN, and MGPS. A total of 4876 AEs were collected, involving 52,205 patients. The top three System Organ Classes (SOCs) were psychiatric disorders, nervous system disorders, and general disorders and administration site conditions. The top three preferred terms based on signal strength were dysphoria (<em>n</em> = 2316, ROR 211.37, PRR 209.43, IC 6.73, EBGM 105.95), telangiectasia congenital (<em>n</em> = 5, ROR 96.55, PRR 96.55, IC 6.06, EBGM 66.69), and affect lability (<em>n</em> = 2520, ROR 85.2, PRR 84.35, IC 5.92, EBGM 60.66). In addition to the AEs already mentioned in the drug label, our study identified unexpected AEs related to congenital, familial and genetic disorders, such as telangiectasia congenital, factor X deficiency, and hemoglobinopathy, emphasizing the safety risks of duloxetine exposure during pregnancy. Furthermore, we observed rare adverse reaction signals, such as phagophobia, lymphocytic oesophagitis, coma blister, and junctional ectopic tachycardia. Notably, female patients reported more cases of drug withdrawal syndrome and opsoclonus myoclonus, while male patients more frequently reported sleep sex, sensory disturbance, semenuria, paedophilia, affect lability, and activation syndrome. Duloxetine may pose an undiscovered risk of AEs related to congenital, familial and genetic disorders. Our findings provide healthcare professionals with evidence to weigh the risks and benefits of duloxetine treatment, particularly for patients of different genders. Further prospective studies are needed to explore rare and unexpected AEs.</div></div>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":"388 ","pages":"Article 119517"},"PeriodicalIF":4.9,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144183573","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}