{"title":"PSMB4: a potential biomarker and therapeutic target for depression, perspective from integration analysis of depression GWAS data and human plasma proteome.","authors":"Jiewei Liu","doi":"10.1038/s41398-025-03279-6","DOIUrl":"10.1038/s41398-025-03279-6","url":null,"abstract":"<p><p>Depression is a common and severe mental disorder that affects more than 300 million people worldwide. While it is known to have a moderate genetic component, identifying specific genes that contribute to the disorder has been challenging. Previous Genome-wide association studies (GWASs) have identified over 100 genomic loci that are significantly associated with depression. But finding useful therapeutic targets and diagnostic biomarkers from this information has proven difficult. To address this challenge, I conducted a plasma protein proteome-wide association study (PWAS) for depression, using human plasma protein QTL (pQTL) and depression GWAS data. I identified four proteins that were significantly associated with depression: BTN3A3 (P value = 6.41 × 10<sup>-06</sup>), PSMB4 (P value = 1.42 × 10<sup>-05</sup>), TIMP4 (P value = 3.77 × 10<sup>-05</sup>), and ITIH1 (P value = 7.86 × 10<sup>-05</sup>). Specifically, I found that BTN3A3 and PSMB4 play a causal role in depression, as confirmed by colocalization and Mendelian Randomization (MR) analysis. Interestingly, I also discovered that PSMB4 was significantly associated with depression in both the brain proteome studies and the plasma PWAS results, which suggests that it may be a particularly promising candidate for further study. Overall, this work has identified 4 new risk proteins for depression and highlights the potential of plasma proteome data for uncovering novel therapeutic targets and diagnostic biomarkers.</p>","PeriodicalId":23278,"journal":{"name":"Translational Psychiatry","volume":"15 1","pages":"62"},"PeriodicalIF":5.8,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11842700/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143469356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Vedat Verter, Fan E, Daniel Frank, Angelos Georghiou
{"title":"Text mining of outpatient narrative notes to predict the risk of psychiatric hospitalization.","authors":"Vedat Verter, Fan E, Daniel Frank, Angelos Georghiou","doi":"10.1038/s41398-025-03276-9","DOIUrl":"10.1038/s41398-025-03276-9","url":null,"abstract":"<p><p>The primary purpose of this paper is to investigate whether text mining of the outpatient narrative notes for patients with severe and persistent mental illness (SPMI) can strengthen the predictions concerning the probability of an upcoming hospital readmission. A five-year study of all clinical notes for SPMI patients at the outpatient clinic of a tertiary hospital was conducted. The clinical notes were studied using ensemble classification i.e., entity recognition. Confounding variables pertaining to the patient's health status were extracted by text mining. A mixed effects logistic regression model was used for estimating the re-hospitalization risk during a clinic visit. The factors included frequency and continuity of outpatient visits, alterations in medication prescriptions, the usage of long-acting anti-psychotic injections (LAIs), the presence or absence of a legal compulsory treatment order (CTO) and the hospitalizations. The appearance of certain words in the outpatient clinical notes has a statistically significant impact on the risk of an upcoming hospitalization. This study also reconfirms that the risk of a re-hospitalization of an SPMI patient is reduced by the presence of a CTO and the utilization of LAIs, whereas it is increased by the patient dropping out of outpatient care. Our findings pertaining to the risk of re-hospitalization could facilitate preventive interventions for SPMI patients with higher risk.</p>","PeriodicalId":23278,"journal":{"name":"Translational Psychiatry","volume":"15 1","pages":"60"},"PeriodicalIF":5.8,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11842738/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143469357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Giovanni Deiana, Jun He, Brenda Cabrera-Mendoza, Roberto Ciccocioppo, Valerio Napolioni, Renato Polimanti
{"title":"Brain-wide pleiotropy investigation of alcohol drinking and tobacco smoking behaviors.","authors":"Giovanni Deiana, Jun He, Brenda Cabrera-Mendoza, Roberto Ciccocioppo, Valerio Napolioni, Renato Polimanti","doi":"10.1038/s41398-025-03288-5","DOIUrl":"10.1038/s41398-025-03288-5","url":null,"abstract":"<p><p>To investigate the pleiotropic mechanisms linking brain structure and function to alcohol drinking and tobacco smoking, we integrated genome-wide data generated by the GWAS and Sequencing Consortium of Alcohol and Nicotine use (GSCAN; up to 805,431 participants) with information related to 3935 brain imaging-derived phenotypes (IDPs) available from UK Biobank (N = 33,224). We observed global genetic correlation of smoking behaviors with white matter hyperintensities, the morphology of the superior longitudinal fasciculus, and the mean thickness of pole-occipital. With respect to the latter brain IDP, we identified a local genetic correlation with age at which the individual began smoking regularly (hg38 chr2:35,895,678-36,640,246: rho = 1, p = 1.01 × 10<sup>-5</sup>). This region has been previously associated with smoking initiation, educational attainment, chronotype, and cortical thickness. Our genetically informed causal inference analysis using both latent causal variable approach and Mendelian randomization linked the activity of prefrontal and premotor cortex and that of superior and inferior precentral sulci, and cingulate sulci to the number of alcoholic drinks per week (genetic causality proportion, gcp = 0.38, p = 8.9 × 10<sup>-4</sup>, rho = -0.18 ± 0.07; inverse variance weighting, IVW beta = -0.04, 95%CI = -0.07--0.01). This relationship could be related to the role of these brain regions in the modulation of reward-seeking motivation and the processing of social cues. Overall, our brain-wide investigation highlighted that different pleiotropic mechanisms likely contribute to the relationship of brain structure and function with alcohol drinking and tobacco smoking, suggesting decision-making activities and chemosensory processing as modulators of propensity towards alcohol and tobacco consumption.</p>","PeriodicalId":23278,"journal":{"name":"Translational Psychiatry","volume":"15 1","pages":"61"},"PeriodicalIF":5.8,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11842717/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143469354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hao Sun, Rui Yan, Zhilu Chen, Xiaoqin Wang, Yi Xia, Lingling Hua, Na Shen, Yinghong Huang, Qiudong Xia, Zhijian Yao, Qing Lu
{"title":"Common and disease-specific patterns of functional connectivity and topology alterations across unipolar and bipolar disorder during depressive episodes: a transdiagnostic study.","authors":"Hao Sun, Rui Yan, Zhilu Chen, Xiaoqin Wang, Yi Xia, Lingling Hua, Na Shen, Yinghong Huang, Qiudong Xia, Zhijian Yao, Qing Lu","doi":"10.1038/s41398-025-03282-x","DOIUrl":"10.1038/s41398-025-03282-x","url":null,"abstract":"<p><p>Bipolar disorder (BD) and unipolar depression (UD) are defined as distinct diagnostic categories. However, due to some common clinical and pathophysiological features, it is a clinical challenge to distinguish them, especially in the early stages of BD. This study aimed to explore the common and disease-specific connectivity patterns in BD and UD. This study was constructed over 181 BD, 265 UD and 204 healthy controls. In addition, an independent group of 90 patients initially diagnosed with major depressive disorder at the baseline and then transferred to BD with the episodes of mania/hypomania during follow-up, was identified as initial depressive episode BD (IDE-BD). All participants completed resting-state functional magnetic resonance imaging (R-fMRI) at recruitment. Both network-based analysis and graph theory analysis were applied. Both BD and UD showed decreased functional connectivity (FC) in the whole brain network. The shared aberrant network across groups of patients with depressive episode (BD, IDE-BD and UD) mainly involves the visual network (VN), somatomotor networks (SMN) and default mode network (DMN). Analysis of the topological properties over the three networks showed that decreased clustering coefficient was found in BD, IDE-BD and UD, however, decreased shortest path length and increased global efficiency were only found in BD and IDE-BD but not in UD. The study indicate that VN, SMN, and DMN, which involve stimuli reception and abstraction, emotion processing, and guiding external movements, are common abnormalities in affective disorders. The network separation dysfunction in these networks is shared by BD and UD, however, the network integration dysfunction is specific to BD. The aberrant network integration functions in BD and IDE-BD might be valuable diagnostic biomarkers.</p>","PeriodicalId":23278,"journal":{"name":"Translational Psychiatry","volume":"15 1","pages":"58"},"PeriodicalIF":5.8,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11836414/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143450355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An evolutionary perspective on the genetics of anorexia nervosa.","authors":"Édith Breton, Tobias Kaufmann","doi":"10.1038/s41398-025-03270-1","DOIUrl":"10.1038/s41398-025-03270-1","url":null,"abstract":"<p><p>Anorexia nervosa (AN) typically emerges around adolescence and predominantly affects females. Recent progress has been made in identifying biological correlates of AN, but more research is needed to pinpoint the specific mechanisms that lead to its development and maintenance. There is a known phenotypic link between AN, growth and sexual maturation, yet the genetic overlap between these phenotypes remains enigmatic. One may hypothesize that shared factors between AN, energy metabolism and reproductive functions may have been under recent evolutionary selection. Here, we characterize the genetic overlap between AN, BMI and age at menarche, and aimed to reveal recent evolutionary factors that may help explain the origin of AN. We obtained publicly available GWAS summary statistics of AN, BMI and age at menarche and studied the polygenic overlap between them. Next, we used Neandertal Selective Sweep scores to explore recent evolutionary selection. We found 22 loci overlapping between AN and BMI, and 9 loci between AN and age at menarche, with 7 of these not previously associated with AN. We found that loci associated with AN may have been under particular evolutionary dynamic. Chronobiology appeared relevant to the studied genetic overlaps and prone to recent evolutionary selection, offering a promising avenue for future research. Taken together, our findings contribute to the understanding of the genetic underpinning of AN. Ultimately, better knowledge of the biological origins of AN may help to target specific biological processes and facilitate early intervention in individuals who are most at risk.</p>","PeriodicalId":23278,"journal":{"name":"Translational Psychiatry","volume":"15 1","pages":"59"},"PeriodicalIF":5.8,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11840024/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143459215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marianna Rania, Anna Procopio, Paolo Zaffino, Elvira Anna Carbone, Teresa Vanessa Fiorentino, Francesco Andreozzi, Cristina Segura-Garcia, Carlo Cosentino, Franco Arturi
{"title":"Leveraging OGTT derived metabolic features to detect Binge-eating disorder in individuals with high weight: a \"seek out\" machine learning approach.","authors":"Marianna Rania, Anna Procopio, Paolo Zaffino, Elvira Anna Carbone, Teresa Vanessa Fiorentino, Francesco Andreozzi, Cristina Segura-Garcia, Carlo Cosentino, Franco Arturi","doi":"10.1038/s41398-025-03281-y","DOIUrl":"10.1038/s41398-025-03281-y","url":null,"abstract":"<p><p>Binge eating disorder (BED) carries a 6 times higher risk for obesity and accounts for roughly 30% of type 2 diabetes cases. Timely identification of early glycemic disturbances and comprehensive treatment can impact on the likelihood of associated metabolic complications and the overall outcome. In this study, machine learning techniques were applied to static and dynamic glucose-derived measures to detect BED among 281 individuals with high weight. Data from the classic (2 h) and the extended (5 h) glucose load were computed by multiple algorithms and two models with the most relevant features were trained to detect BED within the sample. The models were then tested on an independent cohort (N = 21). The model based on the 5 h-long glucose load exhibited the best performance (sensitivity = 0.75, specificity = 0.67, F score = 0.71) diagnosing BED in 7 out of 10 cases. Sex, HOMA-IR, HbA1c and plasma glucose in different times, and hypoglycemia events were the most sensitive features for BED diagnosis. This study is the first to use metabolic hallmarks to train ML algorithms for detecting BED in individuals at high risk for metabolic complications. ML techniques applied to objective and reliable glycemic features might prompt the identification of BED among individuals at high risk for metabolic complications, enabling timely and tailored multidisciplinary treatment.</p>","PeriodicalId":23278,"journal":{"name":"Translational Psychiatry","volume":"15 1","pages":"57"},"PeriodicalIF":5.8,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11836435/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143450373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jiajia Duan, Jiaxing Sun, Xiao Ma, Peipei Du, Pengfei Dong, Juan Xue, Yanli Lu, Tao Jiang
{"title":"Association of escitalopram-induced shifts in gut microbiota and sphingolipid metabolism with depression-like behavior in wistar-kyoto rats.","authors":"Jiajia Duan, Jiaxing Sun, Xiao Ma, Peipei Du, Pengfei Dong, Juan Xue, Yanli Lu, Tao Jiang","doi":"10.1038/s41398-025-03277-8","DOIUrl":"10.1038/s41398-025-03277-8","url":null,"abstract":"<p><p>The microbiota-gut-brain axis plays a pivotal role in neuropsychiatric disorders, particularly in depression. Escitalopram (ESC) is a first-line antidepressant, however, its regulatory mechanisms on the microbiota-gut-brain axis in the treatment of depression remain unclear. The antidepressant effects of ESC were evaluated using the forced swim test in Wistar-Kyoto (WKY) rats, while damage in the gut and brain regions was assessed through H&E staining and immunohistochemistry. The therapeutic mechanisms in WKY rats with depression-like behavior were investigated through 16S rRNA sequencing of the gut microbiota, serum untargeted metabolomics, and hippocampal proteomics. Results indicated that ESC intervention improved depressive-like behaviors, as evidenced by increased swimming times in WKY rats, and also restored intestinal permeability and brain tissue integrity. Significant changes in the gut microbiota composition, particularly an increase in Bacteroides barnesiae, as well as increases in serum sphingolipid metabolites (Sphinganine 1-phosphate, Sphingosine, and Sphingosine-1-phosphate) and hippocampal proteins (Sptlc1, Enpp5, Enpp2), were strongly correlated. These robust correlations suggest that ESC may exert its antidepressant effects by modulating sphingolipid metabolism through the influence of gut microbiota. Accordingly, this research elucidates novel mechanisms underlying the antidepressant efficacy of ESC and highlights the pivotal importance of the microbiota-gut-brain axis in mediating these effects.</p>","PeriodicalId":23278,"journal":{"name":"Translational Psychiatry","volume":"15 1","pages":"54"},"PeriodicalIF":5.8,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11833111/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143442089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Reyhane Eghtedarian, Anniina M Tervi, Samuel E Jones, Markku Partinen, Essi Viippola, Hanna M Ollila
{"title":"Narcolepsy as a potential risk factor for Schizophrenia.","authors":"Reyhane Eghtedarian, Anniina M Tervi, Samuel E Jones, Markku Partinen, Essi Viippola, Hanna M Ollila","doi":"10.1038/s41398-025-03259-w","DOIUrl":"10.1038/s41398-025-03259-w","url":null,"abstract":"<p><p>Narcolepsy is a severe sleep disorder with characteristics of fatigue, fragmented sleep, cataplexy and hypnagogic hallucinations. Earlier clinical studies have reported the onset of schizophrenia after narcolepsy but the causality behind narcolepsy and schizophrenia is unknown. Our goal was to understand the causality between narcolepsy and schizophrenia. To estimate the comorbidity between narcolepsy and schizophrenia, we employed data from the FinRegistry that contains data for the total population of Finland in total 7.2 million individuals (N = 1664 individuals with narcolepsy and 55,372 with schizophrenia). We then used Mendelian randomization and previously published genome-wide association data to test the causality between narcolepsy and schizophrenia. We observed a robust causal association from narcolepsy to schizophrenia using the HLA-independent lead variants (P-value = 6.0 × 10<sup>-4</sup>), which was accentuated when including the HLA locus (P-value = 4.48 × 10<sup>-7</sup>). Furthermore, we observed a modest bidirectional causality from schizophrenia to narcolepsy (P-value = 0.015). There was no evidence of pleiotropy. Our findings indicate a causal relationship where narcolepsy may increase the risk for schizophrenia, and a bidirectional causality from schizophrenia to narcolepsy. Additionally, our results clarify the psychiatric burden in narcolepsy.</p>","PeriodicalId":23278,"journal":{"name":"Translational Psychiatry","volume":"15 1","pages":"55"},"PeriodicalIF":5.8,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11832773/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143442104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maya Opendak, Heidi Meyer, Bridget L Callaghan, Lior Abramson, Shanah Rachel John, Kevin Bath, Francis Lee, Nim Tottenham, Regina Sullivan
{"title":"Understanding the development of a functional brain circuit: reward processing as an illustration.","authors":"Maya Opendak, Heidi Meyer, Bridget L Callaghan, Lior Abramson, Shanah Rachel John, Kevin Bath, Francis Lee, Nim Tottenham, Regina Sullivan","doi":"10.1038/s41398-025-03280-z","DOIUrl":"10.1038/s41398-025-03280-z","url":null,"abstract":"<p><p>Aberrant reward processing is common in psychiatric disorders that begin during development. However, our understanding of the early reward system is limited, due to few studies assessing reward engagement across development. Moreover, the interpretation of these findings is based primarily on our understanding of the adult reward system. Here, we argue that approaches to early reward processing must be re-framed within the context of developmental transitions. This alternate perspective takes into account unique, age-specific brain network functions that promote adaptive behaviors as environmental demands change from infancy through childhood. We survey the literature on developing reward systems and ask the following critical questions: (1) how are rewarding stimuli defined for infants and children? (2) do adult-defined neural reward circuits also support early reward behavior? and (3) how can early circuit perturbation impact infant and adult circuit function? Altogether, we argue that this developmental niche-centered framework is needed for conceptually and theoretically approaching developmental research questions, including but also extending beyond the scope of reward. Finally, this framework can help us understand how disturbance in developmental processes may ultimately manifest as pathology.</p>","PeriodicalId":23278,"journal":{"name":"Translational Psychiatry","volume":"15 1","pages":"53"},"PeriodicalIF":5.8,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11832941/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143442124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Qiang He, Wenjing Wang, Yangchang Zhang, Yang Xiong, Chuanyuan Tao, Lu Ma, Chao You, Junpeng Ma, Yan Jiang
{"title":"Global burden of young-onset dementia, from 1990 to 2021: an age-period-cohort analysis from the global burden of disease study 2021.","authors":"Qiang He, Wenjing Wang, Yangchang Zhang, Yang Xiong, Chuanyuan Tao, Lu Ma, Chao You, Junpeng Ma, Yan Jiang","doi":"10.1038/s41398-025-03275-w","DOIUrl":"10.1038/s41398-025-03275-w","url":null,"abstract":"<p><p>This study aims to assess the burden of young-onset dementia worldwide, regionally, and nationally during 1990-2021. Prevalence, incidence, mortality, and disability adjusted life years (DALYs) rates were used to estimate burden of the young-onset dementia. The average annual percentage was utilized to evaluate the trends during 1990-2021. Decomposition analysis was performed to explore driving factors behind changes. Age-period-cohort modeling was used to estimate local drift, age, period and cohort effects. Global age standardized prevalence and incidence of dementia among people under 65 years increased from 93.39 and 16.24 per 100,000 persons in 1990 to 96.09 and 17.16 per 100,000 persons in 2021; mortality increased from 0.89 per 100,000 population to 0.91 per 100,000 population; and age standardized DALYs increased from 45.60 per 100,000 persons to 46.78 per 100,000 persons. Countries with a high, high-middle, and middle SDI experienced an upward trend of prevalence and incidence, and the mortality and DALYs of young-onset dementia in countries with a low-middle and low sociodemographic index was a higher level. Smoking, high body-mass index and high fasting plasma glucose levels were main risk factors. Population growth was the largest factor for the increasing young-onset dementia in all regions. Globally, prevalence, incidence, and DALYs rate of young-onset dementia increased with age, period effects showing a decreasing risk and then an increasing risk. Cohort effects of prevalence and DALYs began to decline after the 1950s. Young-onset dementia presents a growing global health challenge in the age, period and cohort across SDI regions, countries.</p>","PeriodicalId":23278,"journal":{"name":"Translational Psychiatry","volume":"15 1","pages":"56"},"PeriodicalIF":5.8,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11836277/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143450299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}