Translational Psychiatry最新文献

{"title":"Increased odds of metabolic syndrome among adults with depressive symptoms or antidepressant use.","authors":"Shakila Meshkat, Sophie F Duffy, Vanessa K Tassone, Qiaowei Lin, Hilary Ym Pang, Hyejung Jung, Wendy Lou, Venkat Bhat","doi":"10.1038/s41398-025-03289-4","DOIUrl":"10.1038/s41398-025-03289-4","url":null,"abstract":"<p><p>Metabolic syndrome (MetS) is a condition that includes a cluster of risk factors for cardiovascular disease. In this paper, we aimed to evaluate the association between depressive symptoms, antidepressant use, duration of antidepressant use, antidepressant type and MetS. Data from the 2005-2018 National Health and Nutrition Examination Surveys were used in this study. Adults were included if they responded to the depressive symptoms and prescription medications questionnaires and had measures of blood pressure, waist circumference, triglycerides, high-density lipoprotein, and fasting plasma glucose. Participants were categorized by their antidepressant use (yes/no), type, and duration. This study included 14,875 participants (50.45% females), with 3616 (23.45%) meeting the criteria for MetS. Participants with higher depressive symptom scores (aOR = 1.04, 95% CI: 1.02, 1.05, p < 0.001) or those with depressive symptoms (aOR = 1.42, 95% CI: 1.17, 1.73, p = 0.001) had higher odds of MetS. A similar associations was seen among those who were on antidepressants compared to those who were not on antidepressants (aOR = 1.24, 95% CI: 1.03, 1.50, p = 0.025). Duration of antidepressant use was not significantly associated with MetS. Participants on tricyclic antidepressants had greater odds of MetS compared to those not taking any antidepressants (aOR = 2.27, 95% CI: 1.31, 3.93, p = 0.004). Our study provides evidence of the association between depressive symptoms, antidepressant use, and MetS, highlighting the importance of monitoring metabolic and cardiovascular alterations in individuals of depression.</p>","PeriodicalId":23278,"journal":{"name":"Translational Psychiatry","volume":"15 1","pages":"68"},"PeriodicalIF":5.8,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11868621/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143524527","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":"Neurofind: using deep learning to make individualised inferences in brain-based disorders.","authors":"S Vieira, L Baecker, W H L Pinaya, R Garcia-Dias, C Scarpazza, V Calhoun, A Mechelli","doi":"10.1038/s41398-025-03290-x","DOIUrl":"10.1038/s41398-025-03290-x","url":null,"abstract":"<p><p>Within precision psychiatry, there is a growing interest in normative models given their ability to parse heterogeneity. While they are intuitive and informative, the technical expertise and resources required to develop normative models may not be accessible to most researchers. Here we present Neurofind, a new freely available tool that bridges this gap by wrapping sound and previously tested methods on data harmonisation and advanced normative models into a web-based platform that requires minimal input from the user. We explain how Neurofind was developed, how to use the Neurofind website in four simple steps ( www.neurofind.ai ), and provide exemplar applications. Neurofind takes as input structural MRI images and outputs two main metrics derived from independent normative models: (1) Outlier Index Score, a deviation score from the normative brain morphology, and (2) Brain Age, the predicted age based on an individual's brain morphometry. The tool was trained on 3362 images of healthy controls aged 20-80 from publicly available datasets. The volume of 101 cortical and subcortical regions was extracted and modelled with an adversarial autoencoder for the Outlier index model and a support vector regression for the Brain age model. To illustrate potential applications, we applied Neurofind to 364 images from three independent datasets of patients diagnosed with Alzheimer's disease and schizophrenia. In Alzheimer's disease, 55.2% of patients had very extreme Outlier Index Scores, mostly driven by larger deviations in temporal-limbic structures and ventricles. Patients were also homogeneous in how they deviated from the norm. Conversely, only 30.1% of schizophrenia patients were extreme outliers, due to deviations in the hippocampus and pallidum, and patients tended to be more heterogeneous than controls. Both groups showed signs of accelerated brain ageing.</p>","PeriodicalId":23278,"journal":{"name":"Translational Psychiatry","volume":"15 1","pages":"69"},"PeriodicalIF":5.8,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11868583/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143524528","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":"The midline thalamic nucleus reuniens promotes compulsive-like grooming in rodents.","authors":"Romeo Chen Wei Goh, Ming-Dao Mu, Wing-Ho Yung, Ya Ke","doi":"10.1038/s41398-025-03283-w","DOIUrl":"10.1038/s41398-025-03283-w","url":null,"abstract":"<p><p>Obsessive-compulsive disorder (OCD), a disabling and notoriously treatment-resistant neuropsychiatric disorder, affects 2-3% of the general population and is characterized by recurring, intrusive thoughts (obsessions) and repetitive, ritualistic behaviors (compulsions). Although long associated with dysfunction within the cortico-striato-thalamic-cortical circuits, the thalamic role in OCD pathogenesis remains highly understudied in the literature. Here, we identified a rat thalamic nucleus - the reuniens (NRe) - that mediates persistent, compulsive self-grooming behavior. Optogenetic activation of this nucleus triggers immediate, excessive grooming with strong irresistibility, increases anxiety, and induces negative affective valence. A thalamic-hypothalamic pathway linking NRe to the dorsal premammillary nucleus (PMd) was discovered to mediate excessive self-grooming behavior and render it a defensive coping response to stress, mirroring the compulsions faced by OCD patients. Given the close resemblance between this self-grooming behavior and the clinical manifestations of OCD, the results from this study highlight the role of NRe in mediating OCD-like compulsive behaviors. This can be attributed to NRe's position at the nexus of an extensive frontal-striatal-thalamic network regulating cognition, emotion, and stress-related behaviors, suggesting NRe as a potential novel target for intervention.</p>","PeriodicalId":23278,"journal":{"name":"Translational Psychiatry","volume":"15 1","pages":"67"},"PeriodicalIF":5.8,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11850824/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143493826","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":"Alzheimer's disease with depression: clinical characteristics and potential mechanisms involving orexin and brain atrophy.","authors":"Jing Li, Tenghong Lian, Jinghui Li, Ning Wei, Peng Guo, Mingyue He, Yanan Zhang, Yue Huang, Jing Qi, Dongmei Luo, Weijia Zhang, Ruidan Wang, Mingwei Wang, Wei Zhang","doi":"10.1038/s41398-025-03251-4","DOIUrl":"10.1038/s41398-025-03251-4","url":null,"abstract":"<p><p>This study aimed to explore the clinical characteristics and alteration of orexinergic level in cerebrospinal fluid (CSF) and the volumes of brain grey and white matters, and investigate the roles of orexinergic level on the association between brain atrophy and depression in Alzheimer's disease (AD) patients. The demographic variables of 156 participants were collected. Orexinergic level in CSF and the volumes of brain grey and white matters were evaluated. The correlations of orexinergic level in CSF with depression and brain volume in AD patients were analyzed. The mediating effect of orexinergic level in CSF on the association between brain atrophy and depression in AD patients was investigated. The joint predictive value of orexinergic level in CSF and brain volume for depression in AD patients was established. AD with depression patients showed significantly elevated levels of orexin A and orexin B in CSF; orexin A level in CSF was positively correlated with HAMD score in AD patients. The elevated orexin A level in CSF mediated 49.6% of total association between the decreased grey matter volume of right dorsal medial thalamic nucleus and depression, and 50.3% of total association between the reduced white matter volume of left amygdala and depression. Combinations of above parameters could predict depression in AD patients with a significantly high area under the curve (AUC = 0.841). Therefore, the elevated orexin A level in CSF mediates its effect on the atrophy of the right dorsal medial thalamic nucleus and the white matter of the left amygdala, eventually alleviating depression in AD.</p>","PeriodicalId":23278,"journal":{"name":"Translational Psychiatry","volume":"15 1","pages":"66"},"PeriodicalIF":5.8,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11850912/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143493778","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":"Acylcarnitines metabolism in depression: association with diagnostic status, depression severity and symptom profile in the NESDA cohort.","authors":"Silvia Montanari, Rick Jansen, Daniela Schranner, Gabi Kastenmüller, Matthias Arnold, Delfina Janiri, Gabriele Sani, Sudeepa Bhattacharyya, Siamak Mahmoudian Dehkordi, Boadie W Dunlop, A John Rush, Brenda W H J Penninx, Rima Kaddurah-Daouk, Yuri Milaneschi","doi":"10.1038/s41398-025-03274-x","DOIUrl":"10.1038/s41398-025-03274-x","url":null,"abstract":"<p><p>Acylcarnitines (ACs) are involved in bioenergetics processes that may play a role in the pathophysiology of depression. Previous genomic evidence identified four ACs potentially linked to depression risk. We carried forward these ACs and tested the association of their circulating levels with Major Depressive Disorder (MDD) diagnosis, overall depression severity and specific symptom profiles. The sample from the Netherlands Study of Depression and Anxiety included participants with current (n = 1035) or remitted (n = 739) MDD and healthy controls (n = 800). Plasma levels of four ACs (short-chain: acetylcarnitine C2 and propionylcarnitine C3; medium-chain: octanoylcarnitine C8 and decanoylcarnitine C10) were measured. Overall depression severity as well as atypical/energy-related (AES), anhedonic and melancholic symptom profiles were derived from the Inventory of Depressive Symptomatology. As compared to healthy controls, subjects with current or remitted MDD presented similarly lower mean C2 levels (Cohen's d = 0.2, p ≤ 1e-4). Higher overall depression severity was significantly associated with higher C3 levels (ß = 0.06, SE = 0.02, p = 1.21e-3). No associations were found for C8 and C10. Focusing on symptom profiles, only higher AES scores were linked to lower C2 (ß = -0.05, SE = 0.02, p = 1.85e-2) and higher C3 (ß = 0.08, SE = 0.02, p = 3.41e-5) levels. Results were confirmed in analyses pooling data with an additional internal replication sample from the same subjects measured at 6-year follow-up (totaling 4141 observations). Small alterations in levels of short-chain acylcarnitine levels were related to the presence and severity of depression, especially for symptoms reflecting altered energy homeostasis. Cellular metabolic dysfunctions may represent a key pathway in depression pathophysiology potentially accessible through AC metabolism.</p>","PeriodicalId":23278,"journal":{"name":"Translational Psychiatry","volume":"15 1","pages":"65"},"PeriodicalIF":5.8,"publicationDate":"2025-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11847943/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143484058","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":"Social buffering during fear extinction rescues long-term trauma-induced memory and emotional behavioral alterations in rats.","authors":"Eleonora Blasi, Benedetta Di Cesare, Arianna Pisaneschi, Patrizia Campolongo, Maria Morena","doi":"10.1038/s41398-025-03285-8","DOIUrl":"10.1038/s41398-025-03285-8","url":null,"abstract":"<p><p>Post-Traumatic Stress Disorder (PTSD) is a psychiatric disease that may develop after experiencing a traumatic event and it is characterized by resistance to extinction of the traumatic memory. Psychotherapy, which mainly focuses on favoring fear memory extinction, represents the first-line treatment for PTSD. However, this approach is not always successful. Emerging evidence suggests the importance of a social support in alleviating PTSD symptomatology; however, the efficacy of group therapy for PTSD remains controversial. Here, we evaluated the impact of social support on the efficacy of fear extinction sessions in a chronic PTSD-like rat model. We tested the hypothesis that the presence of a social partner during temporally spaced extinction sessions (to mimic the presence of a social support during therapy) or after the extinction sessions in a neutral environment (to mimic the presence of a social support outside of the therapy setting) would ameliorate long-term PTSD-like symptomatology. Extinction sessions were carried out under different conditions: (i) alone; (ii) with a social partner never exposed to the trauma; (iii) with a trauma-exposed partner. In a separate set of experiments, rats were exposed to the extinction sessions alone and, immediately thereafter, paired with a social partner, as indicated above, in a different context. Extinction sessions carried out in the presence of a social partner never exposed to the traumatic experience rescued long-term trauma-induced PTSD-like symptomatology. We provide evidence of beneficial effects of a \"healthy\" social support during extinction sessions in ameliorating both immediate and persistent over time cognitive and emotional PTSD-like symptoms.</p>","PeriodicalId":23278,"journal":{"name":"Translational Psychiatry","volume":"15 1","pages":"64"},"PeriodicalIF":5.8,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11845759/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143473047","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":"Distinguishing clinical and genetic risk factors for suicidal ideation and behavior in a diverse hospital population.","authors":"Sarah M C Colbert, Lauren Lepow, Brian Fennessy, Nakao Iwata, Masashi Ikeda, Takeo Saito, Chikashi Terao, Michael Preuss, Jyotishman Pathak, J John Mann, Hilary Coon, Niamh Mullins","doi":"10.1038/s41398-025-03287-6","DOIUrl":"10.1038/s41398-025-03287-6","url":null,"abstract":"<p><p>Suicidal ideation (SI) and behavior (SB) are major public health concerns, but risk factors for their development and progression are poorly understood. We used ICD codes and a natural language processing algorithm to identify individuals in a hospital biobank with SI-only, SB, and controls without either. We compared the profiles of SB and SI-only patients to controls, and each other, using phenome-wide association studies (PheWAS) and polygenic risk scores (PRS). PheWAS identified many risk factors for SB and SI-only, plus specific psychiatric disorders which may be involved in progression from SI-only to SB. PRS for suicide attempt were only associated with SB, and even after accounting for psychiatric disorder PRS. SI PRS were only associated with SI-only, although not after accounting for psychiatric disorder PRS. These findings advance understanding of distinct genetic and clinical risk factors for SB and SI-only, which will aid in early detection and intervention efforts.</p>","PeriodicalId":23278,"journal":{"name":"Translational Psychiatry","volume":"15 1","pages":"63"},"PeriodicalIF":5.8,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11842747/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143469355","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":"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^-06), PSMB4 (P value = 1.42 × 10^-05), TIMP4 (P value = 3.77 × 10^-05), and ITIH1 (P value = 7.86 × 10^-05). 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}

{"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}

{"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^-5). 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^-4, 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}