Translational Psychiatry最新文献

{"title":"Sex-dependent preventive effects of prenatal N-acetyl-cysteine on neuronal, emotional and metabolic dysfunctions following exposure to maternal high-fat diet in mice.","authors":"Chiara Musillo, Marianna Samà, Kerstin Camile Creutzberg, Veronica Begni, Barbara Collacchi, Jonida Bitraj, Ginetta Collo, Marco Andrea Riva, Alessandra Berry, Francesca Cirulli","doi":"10.1038/s41398-025-03530-0","DOIUrl":"https://doi.org/10.1038/s41398-025-03530-0","url":null,"abstract":"<p><p>While a clear association between maternal obesity and an increased risk for neuropsychiatric disorders in the offspring has been described, the underlying mechanisms remain poorly understood. We hypothesised that a maternal high-fat diet (mHFD) would act as a stressor, increasing glucocorticoids, resulting in an altered redox balance and disrupted neuronal plasticity of the limbic system. Such enduring effects would impair the emotional and cognitive profile, neuroendocrine responses, and metabolic and redox homeostasis in the adult offspring. We utilised a mouse model and a translational cellular model employing human neurons derived from inducible Pluripotent Stem Cells (iPSCs) to evaluate the impact of mHFD on neurodevelopment and to test the protection afforded by the antioxidant N-acetyl-cysteine (NAC). Our approach combined behavioural and metabolic phenotyping, biochemical assays, morphological assessment, and targeted gene expression analysis. Results indicate that prenatal administration of NAC prevented anxiety-like and risk-taking behaviours, cognitive impairments and metabolic alterations in mHFD adult mouse offspring, particularly in females. These changes were accompanied by hippocampal downregulation of genes involved in neuronal plasticity, such as BDNF. Using human neurons in vitro, pre-treatment with NAC rescued the negative effects of glucocorticoids on neuronal plasticity via a BDNF-mediated mechanism. The protective effects of NAC over mHFD in females suggest that rebalancing the redox status could be exploited as an overall strategy to buffer the negative effects of early adversities on neurodevelopment.</p>","PeriodicalId":23278,"journal":{"name":"Translational Psychiatry","volume":"15 1","pages":"306"},"PeriodicalIF":6.2,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12373772/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144970513","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":"Reward-related neural activation during social media exposure in young women with non-suicidal self-injury: evidence for a continuum of severity in the reward network.","authors":"Stella Nicolaou, Anna Julià, Daniela Otero, Carlos Schmidt, Juan Carlos Pascual, Joaquim Soler, Josep Marco-Pallarés, Daniel Vega","doi":"10.1038/s41398-025-03536-8","DOIUrl":"https://doi.org/10.1038/s41398-025-03536-8","url":null,"abstract":"<p><p>Individuals with non-suicidal self-injury (NSSI) may be particularly vulnerable to social media exposure, yet the extent to which this vulnerability is linked to altered reward processing remains unclear. To address this gap, we investigated social media-related reward processing in NSSI by recruiting ninety-one young women, divided into three groups: a clinical group (NSSI with borderline personality disorder), a subclinical group (NSSI without co-occurring disorders), and a healthy control group. While undergoing functional magnetic resonance imaging (fMRI), participants received positive and negative comments on their own Instagram photos in a naturalistic task simulating real-life social media interactions. Clinical participants rated positive comments as less pleasant and negative comments as more unpleasant than controls. Coherently, they showed blunted activation in core reward regions such as the nucleus accumbens, caudate, and medial frontal cortex when receiving positive vs negative feedback. Subclinical participants reacted similarly to clinical participants to negative feedback but similarly to controls to positive feedback and presented intermediate activation in most regions, bridging the pattern observed in controls and patients. Results highlight reward system dysfunction as central to NSSI pathology, with both clinical and subclinical groups showing altered processing of social media-based feedback. Subclinical participants showed selective vulnerability to negative feedback, while clinical participants showed impaired sensitivity to both positive and negative feedback. These findings reflect a continuum of severity mapped on the reward system, highlighting potential intervention targets and emphasizing the need to address social media interactions in NSSI treatment.</p>","PeriodicalId":23278,"journal":{"name":"Translational Psychiatry","volume":"15 1","pages":"308"},"PeriodicalIF":6.2,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12373755/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144970475","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":"Altered brain structure age gap estimation in major depressive disorder patients with and without anhedonia: a machine learning-based study.","authors":"Qingli Mu, Kejing Zhang, Yue Chen, Yuwei Xu, Shaohua Hu, Manli Huang, Peng Zhang, Dong Cui, Shaojia Lu","doi":"10.1038/s41398-025-03555-5","DOIUrl":"https://doi.org/10.1038/s41398-025-03555-5","url":null,"abstract":"<p><p>Previous studies have found that major depressive disorder (MDD) may accelerate overall structural brain aging. Nevertheless, it still remains unknown whether anhedonia, a critical negative prognostic indicator in MDD, further leads to advanced brain aging in specific regions. A total of 31 MDD with anhedonia (MDD-WA), 41 MDD without anhedonia (MDD-WoA), and 43 healthy controls (HCs) were recruited in this study. The difference between brain structure age (BSA) applied by support vector regression (SVR) and chronological age was calculated to derive the brain structure age gap estimation (BSAGE). Analyses of covariance (ANCOVAs) and intergroup comparisons were performed to obtain brain regions with significant BSAGE differences among three groups. Moreover, a support vector machine (SVM) classification model was used to verify the diagnostic value of altered BSAGE. ANCOVAs revealed significant BSAGE differences among three groups in the bilateral putamen (PU), left cerebellar white matter (CB), left cuneus (CUN), left fusiform gyrus (FuG), left subcallosal area (SCA), left superior occipital gyrus (SOG), left triangular inferior frontal gyrus (IFG-Tri), right lateral ventricle (L-V), right superior frontal gyrus medial segment (SFG-SM), right opercular inferior frontal gyrus (IFG-Oper), right precuneus (pre-CUN), right posterior insula (INS-Post), and right superior temporal gyrus (STG). Compared to HCs, the MDD-WA group showed significant BSAGE increase in all of the aforementioned brain regions, while the MDD-WoA group showed limited BSAGE increase in the CB, FuG, and SCA of left hemisphere only. However, no significant difference was found between MDD-WA and MDD-WoA. The altered BSAGE values showed promising discriminatory performance with an area under the curve (AUC) of 0.944 in classifying MDD-WA and HCs. The current findings emphasize that MDD with anhedonia may exhibit more extensive advanced brain aging, primarily in the frontal-limbic system, temporal lobe, and parietal lobe.</p>","PeriodicalId":23278,"journal":{"name":"Translational Psychiatry","volume":"15 1","pages":"309"},"PeriodicalIF":6.2,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12373830/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144970565","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":"Unraveling consistently altered brain activations of language deficits in schizophrenia: evidence from ALE meta-analysis.","authors":"Yuwen He, Ya Hou, Yuan Zhou, Ruolei Gu, Fei Gao, Zhen Yuan","doi":"10.1038/s41398-025-03534-w","DOIUrl":"https://doi.org/10.1038/s41398-025-03534-w","url":null,"abstract":"<p><strong>Background: </strong>Language deficits are commonly observed in patients with schizophrenia, significantly impacting their quality of life. Current medicine has little curing effects on language deficits in patients with schizophrenia. Therefore, it is crucial to investigate the underlying pathology of these deficits and unravel the potential intervention targets.</p><p><strong>Methods: </strong>We systematically reviewed fMRI publications on language processing in schizophrenia and summarized the evidence quantitatively with activation likelihood estimation algorithms following PRISMA guidelines. A total of 82 experiments involving 1538 schizophrenia patients and 1413 healthy controls were included in the current study.</p><p><strong>Results: </strong>Our findings revealed that the left middle frontal gyrus (MFG) and inferior frontal gyrus (IFG) were consistently related to language deficits in schizophrenia across all modalities and all contrasts. Subsequent analysis revealed increased activation in the left MFG related to language deficits in schizophrenia. Subgroup analyses uncovered modality-specific alterations. Specifically, reduced activation in bilateral MFG in language comprehension, and increased activation in left IFG in language production in schizophrenia. Further evidence in comparison analysis also uncovered greater alteration in right MFG related to comprehension than production, while greater alterations in left IFG and others related to production than comprehension in schizophrenia. Moreover, we found that age modulates the altered activation patterns in schizophrenia, while positive or negative symptoms, or sex, did not show significant correlations with these patterns.</p><p><strong>Conclusions: </strong>In summary, our study highlights convergent altered activation patterns in specific brain regions and identifies several heterogeneous sources (e.g., language modality, age) contributing to language deficits in schizophrenia.</p>","PeriodicalId":23278,"journal":{"name":"Translational Psychiatry","volume":"15 1","pages":"307"},"PeriodicalIF":6.2,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12373865/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144970488","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":"A common neural signature between genetic and environmental risk for mental illness.","authors":"Maria Vedechkina, Joni Holmes, Varun Warrier, Duncan E Astle","doi":"10.1038/s41398-025-03513-1","DOIUrl":"https://doi.org/10.1038/s41398-025-03513-1","url":null,"abstract":"<p><p>Not everyone is equally likely to experience mental illness. What is the contribution of an individual's genetic background and experiences of childhood adversity to that likelihood? And how do these risk factors interact at the level of the brain? This study explores these questions by investigating the relationship between genetic liability for mental illness, childhood adversity, and cortico-limbic connectivity in a large developmental sample drawn from the ABCD cohort (N = 6535). Canonical Correlation Analysis - a multivariate data-reduction technique - revealed two genetic dimensions of mental illness from the polygenic risk scores for ADHD, Anxiety, Depression, and Psychosis. The first dimension represented liability for broad psychopathology which was positively correlated with adversity. The second dimension represented neurodevelopmental-specific risk which negatively interacted with adversity, suggesting that neurodevelopmental symptoms may arise from unique combinations of genetic and environmental factors that differ from other symptom domains. Next, we investigated the cortico-limbic signature of adversity and genetic liability using Partial Least Squares. We found that the neural correlates of adversity broadly mirrored those of genetic liability, with adversity capturing most of the shared variance. These novel findings suggest that genetic and environmental risk overlap in the neural connections that underlie mental health symptomatology.</p>","PeriodicalId":23278,"journal":{"name":"Translational Psychiatry","volume":"15 1","pages":"305"},"PeriodicalIF":6.2,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12371083/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144970551","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":"Modulating salience network connectivity through olfactory nerve stimulation.","authors":"Carina Heller, Maria Geisler, Nicolas L Mayer, Annabelle Thierfelder, Martin Walter, Thomas Hummel, Ilona Croy","doi":"10.1038/s41398-025-03500-6","DOIUrl":"https://doi.org/10.1038/s41398-025-03500-6","url":null,"abstract":"<p><p>Depression is associated with reduced functional connectivity within the brain's salience network and its strengthened interactions with the default mode network (DMN). Modification of this clinical pattern is challenging. Leveraging the direct neural pathways from olfactory processing regions to the salience network, we explored the effects of electrical stimulation of the olfactory mucosa on brain connectivity. In a randomized, blinded within-subject design, 45 healthy individuals received olfactory or trigeminal nerve stimulation followed by resting-state fMRI. Olfactory stimulation resulted in a significant increase in functional connectivity between the salience network and the piriform cortex - a primary olfactory structure. Importantly, this stimulation increased functional connectivity within the salience network and weakened connectivity between the salience network and the DMN. These findings suggest that olfactory stimulation may modulate connectivity patterns implicated in depression, offering a novel potential minimal invasive therapeutic strategy. However, as these results were obtained from a healthy cohort, further studies are required to evaluate the efficacy in individuals with depression.</p>","PeriodicalId":23278,"journal":{"name":"Translational Psychiatry","volume":"15 1","pages":"303"},"PeriodicalIF":6.2,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12370952/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144970420","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":"Balancing ethics and statistics: machine learning facilitates highly accurate classification of mice according to their trait anxiety with reduced sample sizes.","authors":"Johannes Miedema, Beat Lutz, Susanne Gerber, Irina Kovlyagina, Hristo Todorov","doi":"10.1038/s41398-025-03546-6","DOIUrl":"https://doi.org/10.1038/s41398-025-03546-6","url":null,"abstract":"<p><p>Understanding how individual differences influence vulnerability to disease and responses to pharmacological treatments represents one of the main challenges in behavioral neuroscience. Nevertheless, inter-individual variability and sex-specific patterns have been long disregarded in preclinical studies of anxiety and stress disorders. Recently, we established a model of trait anxiety that leverages the heterogeneity of freezing responses following auditory aversive conditioning to cluster female and male mice into sustained and phasic endophenotypes. However, unsupervised clustering required larger sample sizes for robust results which is contradictory to animal welfare principles. Here, we pooled data from 470 animals to train and validate supervised machine learning (ML) models for classifying mice into sustained and phasic responders in a sex-specific manner. We observed high accuracy and generalizability of our predictive models to independent animal batches. In contrast to data-driven clustering, the performance of ML classifiers remained unaffected by sample size and modifications to the conditioning protocol. Therefore, ML-assisted techniques not only enhance robustness and replicability of behavioral phenotyping results but also promote the principle of reducing animal numbers in future studies.</p>","PeriodicalId":23278,"journal":{"name":"Translational Psychiatry","volume":"15 1","pages":"304"},"PeriodicalIF":6.2,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12370989/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144970615","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":"CDK5-mediated hyperphosphorylation of Tau217 impairs neuronal synaptic structure and exacerbates cognitive impairment in Alzheimer's disease.","authors":"Kangyue Fu, Nan Lin, Yiwen Xu, En Huang, Raoli He, Zhixin Wu, Dianbo Qu, Xiaochun Chen, Tianwen Huang","doi":"10.1038/s41398-025-03551-9","DOIUrl":"https://doi.org/10.1038/s41398-025-03551-9","url":null,"abstract":"<p><p>Numerous studies have demonstrated that tau phosphorylated at threonine 217 (p-T217) in cerebrospinal fluid (CSF) or plasma is a potential biomarker for Alzheimer's disease (AD). However, the detailed pathological effects of elevated p-T217 and the mechanisms underlying T217 phosphorylation remain incompletely understood. In this study, we revealed a role of tau phosphorylated at T217 in AD. In 5 × FAD mice, increased p-T217 levels, correlated with CDK5 activation, were associated with neurite damage and neuronal apoptosis. Mice expressing a phospho-mimetic T217E mutant in the hippocampus exhibited significant learning impairments in the Morris water maze and Y-Maze test, along with reduced levels of the synaptic proteins Drebrin and PSD95. Electron microscopy revealed severe synaptic and microtubules damage in these mice, along with disrupted axonal structures confirmed by Golgi staining. Additionally, hyperactivation of CDK5 through p25 overexpression increased T217 phosphorylation, whereas CDK5 inactivation reduced it. The study concludes that CDK5 mediated Tau phosphorylation at T217 contributes to synaptic damage and cognitive deficits, highlighting it as a potential therapeutic target for AD.</p>","PeriodicalId":23278,"journal":{"name":"Translational Psychiatry","volume":"15 1","pages":"302"},"PeriodicalIF":6.2,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12371089/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144970594","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":"Depression and health outcomes: An umbrella review of systematic reviews and meta-analyses of observational studies.","authors":"Xiaojuan Chen, Xiaoning Liu, Fengjuan Li, Haitian He, Xinying Li, Tianhang Qin, Bin Jiang, Yuge Chen, Yanqi Wang, Yuhao Su, Xiaojie Wang, Lei Liang, Huiling Hua, Jun Wu, Jianping Ma, Fulan Hu, Pei Qin","doi":"10.1038/s41398-025-03463-8","DOIUrl":"https://doi.org/10.1038/s41398-025-03463-8","url":null,"abstract":"<p><strong>Background: </strong>Currently, most studies of depression are limited to a single disease endpoint.</p><p><strong>Aims: </strong>This study aimed to conduct an umbrella review to comprehensively assess the association between depression and health outcomes.</p><p><strong>Method: </strong>Until December 17, 2024, we conducted a systematic search of systematic reviews and meta-analyses in PubMed, Embase, and Web of Science. We reanalyzed the summary effects and 95% confidence intervals for each study using random models. We assessed the methodological quality and evidence quality of the research with A Measurement Tool to Assess Systematic Reviews 2 and Grade of Recommendations, Assessment, Development and Evaluation, classifying studies into four categories based on evidence classification criteria.</p><p><strong>Results: </strong>We selected a total of 72 articles from 27,150 resulting in 114 meta-analyses and 109 health outcomes. Depression exposure was associated with 23 mortality, 21 cardiovascular outcomes, 15 offspring outcomes, 9cancer outcomes, 9 neurological outcomes, 5 endocrine outcomes, 5 dental outcomes, 3 digestive outcomes, and 19 other health outcomes. Moderate-quality evidence linked depression to specific mortality in bladder cancer (Class IV), all-cause mortality in myocardial infarction (Class III), mortality within 2 years of initial assessment in coronary artery disease (Class IV), major adverse cardiovascular events after percutaneous coronary intervention (Class III), irritable bowel syndrome (insignificant), fear of falling (Class III), and frailty (Class III).</p><p><strong>Conclusions: </strong>Depression has a significant impact on health outcomes, primarily mortality and cardiovascular outcomes. However, more definitive conclusions still require randomized controlled trials or prospective studies for validation.</p>","PeriodicalId":23278,"journal":{"name":"Translational Psychiatry","volume":"15 1","pages":"298"},"PeriodicalIF":6.2,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12368087/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144970573","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":"Entropy-based risk network identification in adolescent self-injurious behavior using machine learning and network analysis.","authors":"Zheng Zhang, Honghui Chen, Yanyue Ye, Hui Chen, Huijuan Guo, Jiansong Zhou","doi":"10.1038/s41398-025-03511-3","DOIUrl":"https://doi.org/10.1038/s41398-025-03511-3","url":null,"abstract":"<p><p>Adolescent Self-Injurious Behavior (SIB) is a significant global public health issue, with a lifetime prevalence rate of approximately 13.7%. As awareness of SIB rises, there is an urgent need for effective prediction mechanisms to enable early identification and intervention, reducing the risk of suicide and self-harm attempts. This study, grounded in Psychopathological Network Theory, uses machine learning and network analysis to explore the multidimensional structure of risk factors for adolescent SIB. A survey of 2047 adolescents aged 11 to 17 years in China analyzed 19 variables across physiological, psychological, and social domains. The Entropy Weight Method (EWM) was applied to combine network analysis and machine learning outcomes for a comprehensive risk evaluation. The study identified key risk factors for SIB, including loneliness, ADHD symptoms, Internet addiction, anxiety, depression, affinity for solitude, autistic traits, being bullied. These factors interact within a complex network structure, influencing the occurrence of SIB both directly and indirectly. The integration of EWM, network analysis, and machine learning provides a more precise risk assessment approach for adolescent SIB. The findings offer valuable insights into the causal mechanisms of SIB and emphasize the importance of targeted prevention and intervention strategies.</p>","PeriodicalId":23278,"journal":{"name":"Translational Psychiatry","volume":"15 1","pages":"299"},"PeriodicalIF":6.2,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12368204/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144970311","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}