Nature mental health最新文献

{"title":"Associated transcriptional, brain and clinical variations in schizophrenia","authors":"Long-Biao Cui, Shu-Wan Zhao, Ya-Hong Zhang, Kun Chen, Yu-Fei Fu, Ting Qi, Mengya Wang, Jing-Wen Fan, Yue-Wen Gu, Xiao-Fan Liu, Xiao-Sa Li, Wen-Jun Wu, Di Wu, Hua-Ning Wang, Yong Liu, Hong Yin, Martijn P. van den Heuvel, Yongbin Wei","doi":"10.1038/s44220-024-00306-1","DOIUrl":"10.1038/s44220-024-00306-1","url":null,"abstract":"Understanding the relationship between genetic variations and brain abnormalities is crucial for uncovering the cross-scale pathophysiological mechanisms underlying schizophrenia. This cross-sectional study identifies brain structural correlates of individual variation in gene expression in schizophrenia and its clinical implication. RNA-sequencing data from blood samples, magnetic resonance imaging scans and clinical assessments were collected from 43 patients with schizophrenia, together with data from 60 healthy controls. Using RNA-sequencing data we show alterations in both gene-level and isoform-level expression between patients with schizophrenia and healthy controls (1,836 genes and 1,104 isoforms, false-discover-rate-adjusted P < 0.05). We also show differential gene expression to be associated with schizophrenia-related genomic variations (based on genome-wide association study data on 76,755 patients and 243,649 controls; regression coefficient (β) = 0.211, P = 0.001) and differential brain gene expression (P < 0.001, hypergeometric test). Multivariate correlation analysis combining gene expression and brain imaging shows that transcriptional levels of differentially expressed genes significantly correlate with gray matter volume in the frontal and temporal regions of cognitive brain networks in patients with schizophrenia (P < 0.001, permutation test). Findings show a significant association between gene expression, gray matter volume and cognitive performance in patients (P = 0.031, permutation test). Our results suggest that genomic variants in individuals with schizophrenia are associated with alterations in the transcriptome, which plays a role in individual variations in macroscale brain structure and cognition, contributing to building a comprehensive, multi-omics marker for the assessment of schizophrenia. This study examining blood transcriptomic, neuroimaging and clinical data in people with schizophrenia shows a relationship between individual variations in gene transcription, brain structure and cognitive performance.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 10","pages":"1239-1249"},"PeriodicalIF":0.0,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142435929","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":"The role of workplace managers in protecting and promoting employee mental health","authors":"Leslie B. Hammer","doi":"10.1038/s44220-024-00308-z","DOIUrl":"10.1038/s44220-024-00308-z","url":null,"abstract":"","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 9","pages":"1004-1005"},"PeriodicalIF":0.0,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142160364","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":"Neocortical serotonin 2A receptor binding, neuroticism and risk of developing depression in healthy individuals","authors":"Anjali Sankar, Simon C. Ziersen, Brice Ozenne, Vibeke H. Dam, Emily E. Beaman, Lars V. Kessing, Patrick. M. Fisher, Esben Budtz-Jørgensen, Gitte M. Knudsen, Kamilla W. Miskowiak, Vibe G. Frokjaer","doi":"10.1038/s44220-024-00299-x","DOIUrl":"10.1038/s44220-024-00299-x","url":null,"abstract":"The serotonin 2A receptor (5-HT2AR) and personality trait neuroticism are implicated in the pathophysiology of depression and represent potential targets for prevention and treatment. Here we evaluate whether 5-HT2AR and neuroticism in healthy individuals are related to the risk of developing a future depressive episode by utilizing a large 5-HT2AR molecular-imaging cohort comprising 131 healthy individuals who underwent molecular brain imaging and neuroticism assessments and up to 19 years of data on future depression diagnosis from the Danish Registers. Using cause-specific Cox regression analysis, we found that neocortical 5-HT2AR binding coupled with the inward-directed facets of neuroticism elevated the risk of depression. The risk was greatest in individuals with both high 5-HT2AR binding and high neuroticism. Our data provide novel insights into the risk of depression and support the evaluation of clinical strategies that target 5-HT2AR, such as psychedelics, in conjunction with psychotherapy that addresses personality-based risk factors. In this study, the authors used molecular brain imaging and measures of neuroticism to identify that high 5-HT2AR binding and higher levels of neuroticism predicted an increased risk of developing depression up to 19 years after assessment.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 10","pages":"1231-1238"},"PeriodicalIF":0.0,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142435927","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":"Mapping brain and body connections","authors":"Natalia Gass","doi":"10.1038/s44220-024-00304-3","DOIUrl":"10.1038/s44220-024-00304-3","url":null,"abstract":"In this Q&A, we speak to Andrew Zalesky, professor at the University of Melbourne, a co-leader of the Systems Lab and awardee of the prestigious Rebecca L. Cooper Fellowship that provides US$1.35 million over 5 years to study brain networks in health and disease and develop high-tech psychiatric therapies based on brain stimulation. He also led the development of the Melbourne Subcortex Atlas and is recognized for the novel tools he has developed to analyze brain networks.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 9","pages":"1006-1007"},"PeriodicalIF":0.0,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142160300","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":"Hypocretin receptor antagonists prevent opioid addiction","authors":"Jimmy J. Fraigne, John H. Peever","doi":"10.1038/s44220-024-00300-7","DOIUrl":"10.1038/s44220-024-00300-7","url":null,"abstract":"The opioid abuse epidemic is a major health concern that requires new pain management strategies. Findings now show that suvorexant, a dual hypocretin receptor antagonist, reverses the anatomical and circuit alterations induced by opioids and decreases addictive behavior while maintaining the analgesic properties of the drugs.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 9","pages":"1008-1009"},"PeriodicalIF":0.0,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142160365","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":"Mapping cerebellar anatomical heterogeneity in mental and neurological illnesses","authors":"Milin Kim, Esten Leonardsen, Saige Rutherford, Geir Selbæk, Karin Persson, Nils Eiel Steen, Olav B. Smeland, Torill Ueland, Geneviève Richard, Christian F. Beckmann, Andre F. Marquand, Ole A. Andreassen, Lars T. Westlye, Thomas Wolfers, Torgeir Moberget","doi":"10.1038/s44220-024-00297-z","DOIUrl":"10.1038/s44220-024-00297-z","url":null,"abstract":"The cerebellum is linked to motor coordination, cognitive and affective processing, in addition to a wide range of clinical illnesses. To enable robust quantification of individual cerebellar anatomy relative to population norms, we mapped the normative development and aging of the cerebellum across the lifespan using brain scans of >54,000 participants. We estimated normative models at voxel-wise spatial precision, enabling integration with cerebellar atlases. Applying the normative models in independent samples revealed substantial heterogeneity within five clinical illnesses: autism spectrum disorder, mild cognitive impairment, Alzheimer disease, bipolar disorder, and schizophrenia. Notably, individuals with autism spectrum disorder and mild cognitive impairment exhibited increased positive and negative extreme deviations in cerebellar anatomy, while those with schizophrenia and Alzheimer disease showed predominantly negative deviations. Finally, extreme deviations were associated with cognitive scores. Our results provide a voxel-wise mapping of cerebellar anatomy across the human lifespan demonstrating the cerebellum’s nuanced role in different clinical illnesses. This study maps cerebellar anatomy across the lifespan using over 54,000 brain scans from 132 scanning sites and identifies that patients with autism spectrum disorder, mild cognitive impairment, Alzheimer disease, and schizophrenia are likely to have deviations in cerebellar anatomy.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 10","pages":"1196-1207"},"PeriodicalIF":0.0,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142435936","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":"Exploration of first onsets of mania, schizophrenia spectrum disorders and major depressive disorder in perimenopause","authors":"Lisa M. Shitomi-Jones, Clare Dolman, Ian Jones, George Kirov, Valentina Escott-Price, Sophie E. Legge, Arianna Di Florio","doi":"10.1038/s44220-024-00292-4","DOIUrl":"10.1038/s44220-024-00292-4","url":null,"abstract":"Although the relationship between perimenopause and changes in mood has been well established, knowledge of risk of a broad spectrum of psychiatric disorders associated with reproductive aging is limited. Here we investigate whether the perimenopause (that is, the years around the final menstrual period (FMP)) is associated with increased risk of developing psychiatric disorders compared with the late reproductive stage. Information on menopausal timing and psychiatric history was obtained from nurse-administered interviews and online questionnaires from 128,294 female participants within UK Biobank. Incidence rates of psychiatric disorders during the perimenopause (4 years surrounding the FMP) were compared with the reference premenopausal period (6–10 years before the FMP). The rates were calculated for major depressive disorder (MDD), mania, schizophrenia spectrum disorders and other diagnoses. Overall, of 128,294 participants, 753 (0.59%) reported their first onset of a psychiatric disorder during the late reproductive stage (incidence rate 1.53 per 1,000 person-years) and 1,133 (0.88%) during the perimenopause (incidence rate 2.33 per 1,000 person-years). Compared with the reference reproductive period, incidence rates of psychiatric disorders significantly increased during the perimenopause (incidence rate ratio (RR) of 1.52, 95% confidence interval (CI) 1.39–1.67) and decreased back down to that observed in the premenopausal period in the postmenopause (RR of 1.09 (95% CI 0.98–1.21)). The effect was primarily driven by increased incidence rates of MDD, with an incidence RR of 1.30 (95% CI 1.16–1.45). However, the largest effect size at perimenopause was observed for mania (RR of 2.12 (95% CI 1.30–3.52)). No association was found between perimenopause and incidence rates of schizophrenia spectrum disorders (RR of 0.95 (95% CI 0.48–1.88)). In conclusion, perimenopause was associated with an increased risk of developing MDD and mania. No association was found between perimenopause and first onsets of schizophrenia spectrum disorders. The authors investigate first onsets of psychiatric disorders during perimenopause, finding higher incidence rates of major depressive disorder and mania.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 10","pages":"1161-1168"},"PeriodicalIF":0.0,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44220-024-00292-4.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142435933","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":"Building machine learning prediction models for well-being using predictors from the exposome and genome in a population cohort","authors":"Dirk H. M. Pelt, Philippe C. Habets, Christiaan H. Vinkers, Lannie Ligthart, Catharina E. M. van Beijsterveldt, René Pool, Meike Bartels","doi":"10.1038/s44220-024-00294-2","DOIUrl":"10.1038/s44220-024-00294-2","url":null,"abstract":"Effective personalized well-being interventions require the ability to predict who will thrive or not, and the understanding of underlying mechanisms. Here, using longitudinal data of a large population cohort (the Netherlands Twin Register, collected 1991–2022), we aim to build machine learning prediction models for adult well-being from the exposome and genome, and identify the most predictive factors (N between 702 and 5874). The specific exposome was captured by parent and self-reports of psychosocial factors from childhood to adulthood, the genome was described by polygenic scores, and the general exposome was captured by linkage of participants’ postal codes to objective, registry-based exposures. Not the genome (R2 = −0.007 [−0.026–0.010]), but the general exposome (R2 = 0.047 [0.015–0.076]) and especially the specific exposome (R2 = 0.702 [0.637–0.753]) were predictive of well-being in an independent test set. Adding the genome (P = 0.334) and general exposome (P = 0.695) independently or jointly (P = 0.029) beyond the specific exposome did not improve prediction. Risk/protective factors such as optimism, personality, social support and neighborhood housing characteristics were most predictive. Our findings highlight the importance of longitudinal monitoring and promises of different data modalities for well-being prediction. Machine learning prediction models for adult well-being were built on longitudinal data from the Netherlands Twin Register population cohort. The exposome, but not the genome, predicted well-being in adulthood, with key factors including optimism, personality, social support and neighborhood housing characteristics.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 10","pages":"1217-1230"},"PeriodicalIF":0.0,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142435952","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":"Brain, lifestyle and environmental pathways linking physical and mental health","authors":"Ye Ella Tian, James H. Cole, Edward T. Bullmore, Andrew Zalesky","doi":"10.1038/s44220-024-00303-4","DOIUrl":"10.1038/s44220-024-00303-4","url":null,"abstract":"Depression and anxiety are prevalent in people with a chronic physical illness. Increasing evidence suggests that co-occurring physical and mental illness is associated with shared biological pathways. However, little is known about the brain’s role in mediating links between physical and mental health. Here, using multimodal brain imaging and organ-specific physiological markers from the UK Biobank, we establish prospective associations between the baseline health of seven organs including cardiovascular, pulmonary, musculoskeletal, immune, renal, hepatic and metabolic systems, and mental health outcomes at 4–14 years’ follow-up, focusing on depression and anxiety. We reveal multiple pathways, mediated by the brain, through which poor organ health may lead to poor mental health. We identify lifestyle and environmental factors, including exercise, sedentary behavior, diet, sleep quality, smoking, alcohol intake, education and socioeconomic status that influence mental health through their selective impact on the physiology of specific organ systems and brain structure. Our work reveals the interplay between brain, body and lifestyle, and their collective influence on mental health. Pathways elucidated here may inform behavioral interventions to mitigate or prevent the synergistic co-occurrence of physical and mental disorders. In a large-scale UK Biobank study of multimodal brain imaging and physiological markers, the authors find brain-mediated patterns of organ function and lifestyle pathways that are predictive of specific mental health outcomes.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 10","pages":"1250-1261"},"PeriodicalIF":0.0,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141922104","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":"Mood instability metrics to stratify individuals and measure outcomes in bipolar disorder","authors":"Sarah H. Sperry, Anastasia K. Yocum, Melvin G. McInnis","doi":"10.1038/s44220-024-00291-5","DOIUrl":"10.1038/s44220-024-00291-5","url":null,"abstract":"Clinical care for bipolar disorder (BD) has a narrow focus on prevention and remission of episodes with pre-/posttreatment reductions in symptom severity as the ‘gold standard’ for outcomes in clinical trials and measurement-based care strategies. Here the study aim was to provide an innovative method for measuring outcomes in BD that has clinical utility and can stratify individuals with BD based on mood instability. The 603 participants comprised those with a BD (n = 385), other or nonaffective disorder (n = 71) or no psychiatric history (n = 147) enrolled in an longitudinal cohort for at least 10 years that collects patient-reported outcome measures (PROMs) assessing depression, (hypo)mania, anxiety and functioning every 2 months. Mood instability was calculated as the intraindividual s.d. of PROMs over 1-year rolling windows and stratified into low, moderate and high thresholds. Individuals with BD had significantly higher 1-year rolling s.d. for depression, (hypo)mania and anxiety compared with psychiatric comparisons (small–moderate effects) and healthy controls (large effects). A significantly greater proportion of scores for those with BD fell into the moderate (depression 50.6%; anxiety 36.5%; and (hypo)mania 52.1%) and high thresholds (depression 9.4%; anxiety 6.1%; and (hypo)mania 10.1%) compared with psychiatric comparisons (moderate 32.3–42.9% and high 2.6–6.6%) and healthy controls (moderate 11.5–31.7% and high 0.4–5.8%). Being in the high or moderate threshold predicted worse mental health functioning (small to large effects). Mood instability, as measured in commonly used PROMs, characterized the course of illness over time, correlated with functional outcomes and significantly differentiated those with BD from healthy controls and psychiatric comparisons. The results suggest a paradigm shift in monitoring outcomes in BD, by measuring intraindividual s.d. as a primary outcome index. This study introduces a method to measure outcomes in bipolar disorder by quantifying mood instability over time.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 9","pages":"1111-1119"},"PeriodicalIF":0.0,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141925464","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}