{"title":"GLP-1 receptor agonists: new treatment frontiers","authors":"","doi":"10.1038/s44220-025-00402-w","DOIUrl":"10.1038/s44220-025-00402-w","url":null,"abstract":"Given the early success of treating diabetes and obesity with glucagon-like peptide-1 receptor agonists (GLP-1RAs) and their neurobiological effects, interest is mounting in identifying new clinical applications and repurposing of these drugs for the treatment of neuropsychiatric conditions. A growing body of evidence points to the potential of GLP-1RA medications for the treatment of specific mental disorders, which will open the door for continued development and refinement of this class of drugs.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 3","pages":"267-268"},"PeriodicalIF":0.0,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44220-025-00402-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143595713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stefan M. Gold, Fanni-Laura Mäntylä, Kim Donoghue, Jelena Brasanac, Michaela Maria Freitag, Franz König, Martin Posch, J. Antoni Ramos-Quiroga, Francesco Benedetti, Ole Köhler-Forsberg, Nina Grootendorst, Witte Hoogendijk, Carmine M. Pariante, Elyse R. Katz, Steve Webb, Belinda Lennox, Toshi A. Furukawa, Christian Otte
{"title":"Transforming the evidence landscape in mental health with platform trials","authors":"Stefan M. Gold, Fanni-Laura Mäntylä, Kim Donoghue, Jelena Brasanac, Michaela Maria Freitag, Franz König, Martin Posch, J. Antoni Ramos-Quiroga, Francesco Benedetti, Ole Köhler-Forsberg, Nina Grootendorst, Witte Hoogendijk, Carmine M. Pariante, Elyse R. Katz, Steve Webb, Belinda Lennox, Toshi A. Furukawa, Christian Otte","doi":"10.1038/s44220-025-00391-w","DOIUrl":"10.1038/s44220-025-00391-w","url":null,"abstract":"Clinical trials are at the core of evidence-based medicine, but many are underpowered and fail to inform clinical practice. In mental health, the number of regulatory drug approvals has consistently lagged behind other areas of medicine, the effects of established therapies may vary, and comparative effectiveness data for available treatments are scarce. Thus, there is an urgent need for more efficient, faster and more collaborative ways of generating evidence. Traditional approaches of ‘one treatment, one trial’ are slow, inefficient, and limit comparability across trials. In contrast, platform trials use a shared infrastructure for many treatments, shared control group(s) and a master protocol that allows treatments to be added over time and ineffective ones to be dropped early. Here we present examples of platform trials in mental health (M-PACT, EU-PEARLDIVER, PUMA and RESiLIENT) and discuss their potential to increase speed, reduce operational costs and participant burden, and improve statistical power and comparability. This Perspective outlines evidence on existing platform trials in mental health and discusses key challenges and strategies to overcome barriers in order to maximize the potential of platform trials.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 3","pages":"276-285"},"PeriodicalIF":0.0,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143595730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Carlos A. Larrauri, Michael Ashley Stein, Anuksha Wickramasinghe, Georgios Ntolkeras, Walid Yassin
{"title":"Neurodiversity-informed inclusive understanding of neurological differences","authors":"Carlos A. Larrauri, Michael Ashley Stein, Anuksha Wickramasinghe, Georgios Ntolkeras, Walid Yassin","doi":"10.1038/s44220-025-00398-3","DOIUrl":"10.1038/s44220-025-00398-3","url":null,"abstract":"Neurodiversity is a concept that acknowledges the wide range of neurological differences, yet societal norms rooted in neurotypical standards often stigmatize these differences. We propose adopting a ‘big tent’ approach to neurodiversity that embraces a broad spectrum of neurodevelopmental and mental health conditions in identity and advocacy.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 3","pages":"271-273"},"PeriodicalIF":0.0,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143595738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Elizabeth A. Quinn, Emma Millard, Janelle M. Jones
{"title":"Group arts interventions for depression and anxiety among older adults: a systematic review and meta-analysis","authors":"Elizabeth A. Quinn, Emma Millard, Janelle M. Jones","doi":"10.1038/s44220-024-00368-1","DOIUrl":"10.1038/s44220-024-00368-1","url":null,"abstract":"In this systematic review and meta-analysis, we assessed the efficacy of group arts interventions, where individuals engage together in a shared artistic experience (for example, dance or painting), for reducing depression and anxiety among older adults (> 55 yr without dementia). Fifty controlled studies were identified via electronic databases searched to February 2024 (randomised: 42, non-randomised: 8). Thirty-nine studies were included. Thirty-six studies investigated the impact of group arts interventions on depression (n = 3,360) and ten studies investigated anxiety (n = 949). Subgroup analyses assessed whether participant, contextual, intervention and study characteristics moderated the intervention–outcome relationship. Risk of bias was assessed with appropriate tools (RoB-2, ROBINS-1). Group arts interventions were associated with a moderate reduction in depression (Cohen’s d = 0.70, 95% confidence interval (CI) = 0.54–0.87, P < 0.001) and a moderate reduction in anxiety (d = 0.76, 95% CI = 0.37–1.52, P < 0.001), although there was publication bias in the depression studies. After a trim and fill adjustment, the effect for depression remained (d = 0.42; CI = 0.35–0.50; P < 0.001). Context moderated this effect: There was a greater reduction in depression when group arts interventions were delivered in care homes (d = 1.07, 95% CI = 0.72–1.42, P < 0.001) relative to the community (d = 0.51, 95% CI = 0.32–0.70, P < 0.001). Findings indicate that group arts are an effective intervention for addressing depression and anxiety among older adults. In this systematic review and meta-analysis of group arts interventions for older adults, the authors found that participation in shared artistic experience was associated with lower levels of depression and anxiety.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 3","pages":"374-386"},"PeriodicalIF":0.0,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44220-024-00368-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143595720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Divergent biological pathways linking short and long sleep durations to mental and physical health","authors":"Yuzhu Li, Weikang Gong, Barbara J. Sahakian, Shuyi Huang, Wei Zhang, Yujie Zhao, Liang Ma, Sharon Naismith, Jintai Yu, Tianye Jia, Wei Cheng, Jianfeng Feng","doi":"10.1038/s44220-025-00395-6","DOIUrl":"10.1038/s44220-025-00395-6","url":null,"abstract":"Short and long sleep durations are associated with multiple physical, psychiatric and neurodegenerative diseases, yet their potentially shared and distinct biological mechanisms remain unclear. Here, using data from UK Biobank participants aged 38–73 years, we have characterized the in-depth genetic architecture of short (≤7 h) and long (≥7 h) sleep groups, along with their associations with behaviors, neuroimaging and blood biomarkers. The two sleep groups exhibited independent genetic architectures and distinct immunometabolic and proteomic profiles. Notably, long sleep showed more significant associations with cardiovascular-related biomarkers (for example, cholesterol), brain structures (for example, hippocampus) and plasma proteins (for example, GDF15), whereas short sleep demonstrated greater genetic overlap with psychiatric conditions, particularly depression. Mendelian randomization further supported this dissociation by showing that long sleep duration is probably a consequence of multiple brain disorders and cardiovascular diseases, whereas short sleep duration has a potential causal effect on various brain and physical illnesses. Our findings advance our understanding of the relationship between sleep and health conditions by revealing distinct biological origins and genetic mechanisms underlying short and long sleep duration. Using data from the UK Biobank, the authors investigate the differences between short and long sleep duration regarding genetics, biomarkers and phenotypic implications.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 4","pages":"429-443"},"PeriodicalIF":0.0,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44220-025-00395-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143801936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Die Zhang, Chenye Shen, Nanguang Chen, Chaoqiang Liu, Jun Hu, Kui Kai Lau, Zhibo Wen, Anqi Qiu
{"title":"Long-term obesity impacts brain morphology, functional connectivity and cognition in adults","authors":"Die Zhang, Chenye Shen, Nanguang Chen, Chaoqiang Liu, Jun Hu, Kui Kai Lau, Zhibo Wen, Anqi Qiu","doi":"10.1038/s44220-025-00396-5","DOIUrl":"10.1038/s44220-025-00396-5","url":null,"abstract":"Although obesity has been implicated in brain and cognitive health, the effect of longitudinal obesity trajectories on brain and cognitive aging remains insufficiently understood. Here, using multifaceted obesity measurements from the UK Biobank, we identified five distinct obesity trajectories: low-stable, moderate-stable, high-stable, increasing and decreasing. We observed that individuals in the decreasing trajectory showed minimal adverse effects on brain structure and cognitive performance, compared with the low-stable trajectory (low obesity levels over time). By contrast, the increasing and moderate- and high-stable trajectories were associated with progressively greater impairments in brain morphology, functional connectivity and cognitive abilities. Specifically, adverse effects extended from fronto-mesolimbic regions in the increasing trajectory to parietal and temporal regions in the moderate-stable trajectory, culminating in widespread brain abnormalities in the high-stable group. These findings highlight the dynamic relationship between obesity evolution and brain-cognitive health, underscoring the clinical importance of long-term monitoring and management of obesity through a multifaceted approach. Using data from the UK Biobank, the authors conducted a longitudinal analysis to measure the effects of obesity on cortical thickness, brain functional connectivity and cognitive abilities in middle-aged and older adults.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 4","pages":"466-478"},"PeriodicalIF":0.0,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143801933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A network outcome analysis of psychological risk factors driving suicide risk in emergency department patients","authors":"René Freichel, Matthew K. Nock, Brian A. O’Shea","doi":"10.1038/s44220-025-00389-4","DOIUrl":"10.1038/s44220-025-00389-4","url":null,"abstract":"Different theories of suicide propose somewhat different psychological factors that lead to suicidal thoughts and behaviors. For example, Beck’s theory highlights hopelessness, while the interpersonal–psychological theory of suicide emphasizes burdensomeness, lack of belonging and fearlessness about death. Surprisingly, few studies have tested which theoretically proposed psychological factors are most predictive of suicidal thoughts and behaviors. We used network outcome analysis to disentangle the effects of these constructs in predicting suicidal ideation, suicide plans and attempts. Participants were 1,412 patients presenting to an emergency department with psychiatric complaints, with follow-up assessments one month and six months (n = 938) later. Here we showed that different psychological factors predicted different parts of the continuum of suicidal thoughts and behaviors. Lack of belongingness was most predictive of suicidal ideation (partial correlation (pcor) = 0.14), acquired capability for death (that is, fearlessness of death) was most predictive of suicide planning (pcor = 0.08), and hopelessness was most predictive of suicide attempts (pcor = 0.12). Individuals’ explicit associations with death (that is, death = me) prospectively predicted all three outcomes (pcor = 0.13–0.23). The occurrence of suicidal thoughts and behaviors is best predicted using constructs from several different theories of suicide. Future theoretical and empirical work should integrate components of existing theories. In this article, the authors share data suggesting that different psychological factors uniquely predict suicidal thoughts and behaviors: lack of belongingness predicts ideation, fearlessness predicts planning, and hopelessness predicts attempts. Further integration of suicide theories is needed.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 3","pages":"346-353"},"PeriodicalIF":0.0,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44220-025-00389-4.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143595733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yueyue Lydia Qu, Jianzhong Chen, Angela Tam, Leon Qi Rong Ooi, Elvisha Dhamala, Carrisa V. Cocuzza, Shaoshi Zhang, Tianchu Zeng, Connor Lawhead, B. T. Thomas Yeo, Avram J. Holmes
{"title":"Distinct brain network features predict internalizing and externalizing traits in children, adolescents and adults","authors":"Yueyue Lydia Qu, Jianzhong Chen, Angela Tam, Leon Qi Rong Ooi, Elvisha Dhamala, Carrisa V. Cocuzza, Shaoshi Zhang, Tianchu Zeng, Connor Lawhead, B. T. Thomas Yeo, Avram J. Holmes","doi":"10.1038/s44220-025-00388-5","DOIUrl":"10.1038/s44220-025-00388-5","url":null,"abstract":"The distinction between externalizing and internalizing traits has been a classic area of study in psychiatry. However, whether shared or unique brain network features predict internalizing and externalizing behaviors remains poorly understood. Using a sample of 5,260 children from the Adolescent Brain Cognitive Development study, 229 adolescents from the Healthy Brain Network and 423 adults from the Human Connectome Project, we show that predictive network features are, at least in part, distinct across internalizing and externalizing behaviors. Across all three samples, behaviors within internalizing and externalizing categories exhibited more similar predictive feature weights than behaviors between categories. These data suggest shared and unique brain network features account for individual variation within broad internalizing and externalizing categories across developmental stages. In this study, the authors present work showing shared and distinct predictive network features associated with internalizing and externalizing behaviors in children, adolescents and adults.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 3","pages":"306-317"},"PeriodicalIF":0.0,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143595721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Enhanced mGluR5 availability marks the antidepressant efficacy in major depressive disorder: an [18F]FPEB PET study","authors":"Bangshan Liu, Aoqian Deng, Chuning Dong, Wentao Chen, Qianqian Zhang, Lianbo Zhou, Feng He, Xin Xiang, Wenwen Ou, Mohan Ma, Jin Liu, Xiaoping Wang, Yumeng Ju, Yunhua Wang, Henry Huang, Xiaowei Ma, Yan Zhang","doi":"10.1038/s44220-025-00386-7","DOIUrl":"10.1038/s44220-025-00386-7","url":null,"abstract":"The limited efficacy of antidepressants for major depressive disorder (MDD) underscores the urgent need to explore mechanisms behind treatment heterogeneity and identify new antidepressant targets. This study explores the role of metabotropic glutamate receptor 5 (mGluR5) in MDD, examining mGluR5 availability changes pre- and post-treatment, and their link to clinical outcomes. We studied 25 patients with MDD and 21 healthy controls, with 13 undergoing eight-week vortioxetine treatment (10 mg per day). mGluR5 availability was measured at baseline and follow-up using [18F]3-fluoro-5-[(pyridin-3-yl)ethynyl]benzonitrile positron emission tomography ([18F]FPEB PET) scans, and patients were categorized on the basis of their response. Results showed lower mGluR5 availability in patients with MDD versus the control group at baseline. Post-treatment, the group with MDD exhibited significant increases in mGluR5 availability in the dorsolateral prefrontal cortex and ventromedial prefrontal cortex (N = 13, Cohen’s d = 0.83 and 1.01). The percentage increase in mGluR5 availability correlated with the percentage reduction in scores on the Hamilton rating scale for depression. These findings underscore mGluR5’s key role in MDD pathophysiology and treatment. This study found that mGluR5 availability is lower in patients with MDD and increases after treatment, correlating with symptom improvement, highlighting the role of mGluR5 role in MDD pathophysiology and treatment response.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 3","pages":"298-305"},"PeriodicalIF":0.0,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143595726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}