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Frailty and social contact with dementia risk: A prospective cohort study
IF 4.9 2区 医学 Q1 CLINICAL NEUROLOGY Pub Date : 2025-01-23 DOI: 10.1016/j.jad.2025.01.112
Yufei Liu , Jie Chang , Yiwei Zhao , Peiyang Gao , Yi Tang

Background

Frailty and social contact are significant factors influencing dementia risk. While previous studies have separately examined these factors, their combined impact on dementia remains underexplored.

Methods

This study included 338,567 UK biobank participants from 2006 to 2010, with follow-up until December 2022. Additionally, 30,408 participants with brain magnetic resonance imaging data were analyzed for hippocampal volume. Cox proportional hazards regression and linear regression models were used to assess associations.

Results

The study followed 338,567 participants (mean [SD] age, 60.4 [5.2] years; 54.1 % men) for a median of 13.7 years, documenting 7362 cases of all-cause dementia. Both frailty and lower social contact independently increased the risk of all-cause dementia, Alzheimer's disease (AD), and vascular dementia (VaD). Compared to individuals with non-frailty and high social contact, those with lower social contact and higher frailty had a significantly increased risk of all-cause dementia, with the highest risk observed in individuals with frailty and low social contact (HR = 2.65, 95 % CI: 2.27–3.11). Similar patterns were found for AD and VaD. Furthermore, hippocampal volume was significantly reduced in individuals with frailty and low social contact (β = −0.24, 95 % CI: −0.43 to −0.06) compared to those with non-frailty and high social contact.

Limitations

The study predominantly included European descent individuals, with most frailty and social contact data based on baseline self-reports.

Conclusions

The combination of frailty and low social contact is associated with the highest risk of dementia. These findings suggest that both physiological and social factors should be simultaneously considered in dementia prevention strategies.
背景:虚弱和社会接触是影响痴呆风险的重要因素。以往的研究已对这些因素进行了单独研究,但对它们共同影响痴呆症的研究仍然不足:本研究纳入了 338567 名 2006 年至 2010 年的英国生物库参与者,随访至 2022 年 12 月。此外,还对30408名有脑磁共振成像数据的参与者的海马体积进行了分析。研究采用考克斯比例危险回归和线性回归模型评估相关性:该研究对 338567 名参与者(平均 [SD] 年龄为 60.4 [5.2] 岁;54.1% 为男性)进行了中位 13.7 年的随访,记录了 7362 例全因痴呆症病例。体弱和社会接触较少会独立增加全因痴呆、阿尔茨海默病(AD)和血管性痴呆(VaD)的风险。与不虚弱且社会接触多的人相比,社会接触少且虚弱程度高的人患全因痴呆症的风险明显增加,其中虚弱且社会接触少的人风险最高(HR = 2.65,95 % CI:2.27-3.11)。注意力缺失症(AD)和失智症(VaD)也发现了类似的模式。此外,与非体弱和社会接触多的人相比,体弱和社会接触少的人的海马体积明显缩小(β = -0.24,95 % CI:-0.43 至 -0.06):研究主要包括欧洲后裔,大部分虚弱和社会接触数据基于基线自我报告:结论:体弱和社会接触少的组合与痴呆症的最高风险相关。这些发现表明,在痴呆症预防策略中应同时考虑生理和社会因素。
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引用次数: 0
Acute angiotensin receptor blockade and mnemonic discrimination in healthy participants
IF 4.9 2区 医学 Q1 CLINICAL NEUROLOGY Pub Date : 2025-01-23 DOI: 10.1016/j.jad.2025.01.119
Divya Prasad , Lorika Shkreli , Riccardo De Giorgi , Sara Costi , Andrea Reinecke

Background

The renin angiotensin system (RAS) is implicated in various cognitive processes relevant to anxiety. However, the role of the RAS in pattern separation, a hippocampal memory mechanism that enables discrete encoding of similar stimuli, is unclear. Given the proposed role of this mechanism in overgeneralization and the maintenance of anxiety, we explored the influence of the RAS on mnemonic discrimination, i.e., the behavioral ability arising from pattern separation.

Design

In a double-blind experimental medicine trial, we examined the effect of losartan, an angiotensin receptor blocker, on mnemonic discrimination in N = 60 healthy volunteers aged 18–50. Participants were randomly allocated to a 50 mg losartan or placebo condition, and then completed the Mnemonic Similarity Task (MST), an established measure of mnemonic discrimination. Main outcome measures were the lure discrimination index (LDI), calculated as the rate of ‘similar’ responses to lures minus ‘similar’ responses to foils, and recognition (REC) memory, calculated as the difference between the rate of ‘old’ responses to targets minus ‘old’ responses to foils.

Results

Data were available for N = 56 participants (N = 40 females, N = 16 males). Participants in the losartan group (N = 29) achieved significantly higher LDI scores (t(54) = 2.30, p = 0.025) compared to the placebo group (N = 27), indicating better mnemonic discrimination. No significant group differences were found in REC scores (U = 324, z = −1.10, d = 0.08; p = 0.271).

Conclusions

We demonstrate for the first time that losartan improves mnemonic discrimination in healthy individuals, suggesting that the RAS may influence pattern separation and anxiety.
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引用次数: 0
An umbrella review and meta-analysis of 87 meta-analyses examining healthcare workers' mental health during the COVID-19 pandemic
IF 4.9 2区 医学 Q1 CLINICAL NEUROLOGY Pub Date : 2025-01-23 DOI: 10.1016/j.jad.2025.01.109
Vincent Gosselin Boucher , Maria Dahl , Jayden Lee , Guy Faulkner , Mark R. Beauchamp , Eli Puterman
During the COVID-19 pandemic, healthcare workers (HCWs) experienced several changes in their work (e.g., longer hours, new policies) that affected their mental health. In this study, an umbrella review and meta-analysis of meta-analyses was conducted to examine the prevalence of various mental health problems experienced by HCWs during the COVID-19 pandemic. We conducted a systematic review searching PubMed, EMBASE, PsycINFO, Cochrane Library, and Scopus databases (PROSPERO: CRD42022304823). We performed a meta-analysis to summarize prevalence of different mental health problems and examined whether these differed as a function of job category, sex/gender, sociodemographic index (SDI), and across time. Eighty-seven meta-analyses were included in the umbrella review and meta-analysis, including 1846 non-overlapping articles and 9,400,962 participants. The overall prevalence ratio for the different mental health outcomes ranged from 0.20 for PTSD (95 % CI: 0.16–0.25) to 0.44 for burnout (95 % CI: 0.32–0.56), with ratios for depressive symptoms, anxiety symptoms, psychological distress, perceived stress, sleep problems, and insomnia symptoms falling between these ranges. Follow-up analyses revealed little variation in outcomes across job category, and sex. Prevalence of mental health problems in HCWs was high during the pandemic. Administrators and policymakers worldwide need to address these growing problems through institutional policies and wellness programming.
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引用次数: 0
Health risk behaviors, depressive symptoms and suicidal ideation among college students: A latent class analysis in middle China
IF 4.9 2区 医学 Q1 CLINICAL NEUROLOGY Pub Date : 2025-01-23 DOI: 10.1016/j.jad.2025.01.107
Jingjing Xiang , Fei Peng , Jiayi Jiao , Ting Tan , Ling Liu , Maowei Chen , Jingtao Wang , Dan Luo , Shuang Liu

Purpose

Previous studies have demonstrated the relationship between health risk behaviors and mental health, but little is discussed among college students. The current study aims to examine clusters of health risk behaviors and their correlation with depressive symptoms and suicidal ideation among Chinese college students.

Methods

Data was obtained from the 2022 Surveillance for Common Diseases and Health Risk Factors among Students project conducted by the Hubei Province of the Centers for Disease Control and Prevention. Latent class analysis (LCA) was conducted based on health risk behaviors, including diet (breakfast skipping, consumption of sweetened beverages, fast food, milk, soymilk and yogurt), physical activities (physical exercise and sedentary), adverse experiences (verbal violence and emotional neglect), substance use (smoking and drinking), sleep, and unprotected sex behaviors. Mental health was assessed by the depressive symptoms and suicidal ideation. Multivariate logistic regression evaluated the correlation between mental health and health risk behaviors.

Results

Among the 6372 Chinese college students, most had sedentary behavior, physical inactivity and unhealthy diet, and > 60 % had more than two health risk behaviors. We further identified four classes of health risk behaviors using LCA. Class 1 (low-risk group, 25.1 %) was unlikely to engage in health-risk behaviors. Class 2 (moderate-risk group, 66.9 %) showed the lowest or second lowest probabilities of most health risk behaviors. Class 3 (High-risk-substance abuse/unprotected sex, 5.2 %) presented the highest probabilities of smoking, drinking, irregular breakfast, unhealthy diet and unprotected sex. Class 4 (High-risk-adverse experiences, 2.8 %) showed the highest probabilities of verbal violence, emotional neglect and insufficient sleep. The high-risk (adverse experiences) class had the highest odds of both depressive symptoms and suicidal ideation, followed by Class 3 and Class 2. Moreover, single-parent and intergenerational families were positively associated with mental health problems in female college students.

Limitations

Due to the cross-sectional study, we cannot identify the changes in different developmental stages.

Conclusion

Different intervention strategies should be customized based on clustering patterns of health risk behaviors in the prevention of depression and suicide among college students.
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引用次数: 0
Specific symptomatology profile associated with treatment resistant depression: A multicentric study from the Group for the Study of Resistant Depression with a focus on sex
IF 4.9 2区 医学 Q1 CLINICAL NEUROLOGY Pub Date : 2025-01-23 DOI: 10.1016/j.jad.2025.01.120
Maria Luca , Antonina Luca , Antonino Messina , Lucie Bartova , Siegfried Kasper , Joseph Zohar , Daniel Souery , Stuart Montgomery , Panagiotis Ferentinos , Dan Rujescu , Julien Mendlewicz , Raffaella Zanardi , Raffaele Ferri , Bartolo Lanuzza , Francesco Benedetti , Basilio Pecorino , Bernhard T. Baune , Giuseppe Fanelli , Chiara Fabbri , Alessandro Serretti

Background

Clinical predictors of treatment-resistant depression could improve treatment strategies. Depressive symptom profiles at baseline are potential outcome predictors, but little evidence is available, and sex-specific profiles have been scarcely investigated.

Methods

Baseline symptom scores of 1294 patients with major depressive disorder were assessed by the Montgomery-Åsberg depression rating scale (MADRS) as part of a multicenter study by the “Group for the Studies of Resistant Depression”. Treatment outcomes were assessed according to the MADRS after ≥4 weeks of naturalistic treatment. We tested if individual MADRS item scores at baseline were associated with treatment outcome in the whole sample and in sex-stratified subgroups.

Results

A specific baseline symptom profile was associated with non-response in the whole sample. In particular, apparent and reported sadness, reduced sleep, lassitude, inability to feel, and pessimistic thoughts were the only MADRS items that scored higher at baseline in patients with subsequent lack of response. In the sex-stratified analysis, females showed a similar profile overall, however they showed higher baseline levels of inner tension, inability to feel, and pessimistic thoughts compared to males, and these symptoms were associated with lack of response in females but not in males. Neurovegetative symptoms were poorly predictive. Overall baseline severity related to poor response.

Limitations

This is a post-hoc analysis. The naturalistic design of the study with a retrospective assessment is potential limitations.

Conclusion

A specific baseline symptom profile characterized by higher sadness, reduced sleep and anhedonic features may be indicative of poor treatment outcome. Females showed a distinctive baseline profile associated with poor response.
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引用次数: 0
Psychophysiological stress response, emotion dysregulation and sleep parameters as predictors of psychopathology in adolescents and young adults
IF 4.9 2区 医学 Q1 CLINICAL NEUROLOGY Pub Date : 2025-01-23 DOI: 10.1016/j.jad.2025.01.110
Caroline L.M. Herber , Christoph Breuninger , Brunna Tuschen-Caffier

Background

Increased emotional reactivity to stress, emotional dysregulation and sleep disturbances are interdependent trans-diagnostic processes that are present in internalising disorders such as depression and anxiety disorders. This study investigated which objective and subjective parameters of stress reactivity, sleep and emotional processing would predict symptoms of anxiety and depression in adolescents and young adults.

Methods

Participants were adolescents and young adults between the ages of 14 to 21 (N = 106, 25[24 %] male, M age = 17.93). Heart rate, heart rate variability, and subjective stress levels were measured before, during and after a stress induction using the Trier Social Stress Test (TSST). Questionnaires on internalising symptoms, emotion dysregulation, and sleep quality were used. For seven consecutive nights, objective sleep parameters were measured with a wearable device.

Results

Heart rate and heart rate variability after (but not during) the stress induction and emotion dysregulation predicted depressive and anxiety symptoms. Lower subjective sleep quality (but not the objective sleep parameters) was associated with depressive and anxiety symptoms. Emotion dysregulation mediated the relationship between sleep quality and depressive symptoms.

Limitations

A cross-sectional design, no measurement of daily activity or naps, and only self-report measures of depressive and anxiety symptoms as well as emotion dysregulation.

Conclusion

The findings of elevated cardiovascular activation after – but not during – the stress induction and emotion dysregulation underlines problems in regulating and recovering from stress as predictors of youth internalising psychopathology. Differences between subjective and objective measures of sleep and stress reactivity suggests a role of cognitive biases in these domains.
{"title":"Psychophysiological stress response, emotion dysregulation and sleep parameters as predictors of psychopathology in adolescents and young adults","authors":"Caroline L.M. Herber ,&nbsp;Christoph Breuninger ,&nbsp;Brunna Tuschen-Caffier","doi":"10.1016/j.jad.2025.01.110","DOIUrl":"10.1016/j.jad.2025.01.110","url":null,"abstract":"<div><h3>Background</h3><div>Increased emotional reactivity to stress, emotional dysregulation and sleep disturbances are interdependent trans-diagnostic processes that are present in internalising disorders such as depression and anxiety disorders. This study investigated which objective and subjective parameters of stress reactivity, sleep and emotional processing would predict symptoms of anxiety and depression in adolescents and young adults.</div></div><div><h3>Methods</h3><div>Participants were adolescents and young adults between the ages of 14 to 21 (<em>N</em> = 106, 25[24 %] male, <em>M</em> age = 17.93). Heart rate, heart rate variability, and subjective stress levels were measured before, during and after a stress induction using the Trier Social Stress Test (TSST). Questionnaires on internalising symptoms, emotion dysregulation, and sleep quality were used. For seven consecutive nights, objective sleep parameters were measured with a wearable device.</div></div><div><h3>Results</h3><div>Heart rate and heart rate variability after (but not during) the stress induction and emotion dysregulation predicted depressive and anxiety symptoms. Lower subjective sleep quality (but not the objective sleep parameters) was associated with depressive and anxiety symptoms. Emotion dysregulation mediated the relationship between sleep quality and depressive symptoms.</div></div><div><h3>Limitations</h3><div>A cross-sectional design, no measurement of daily activity or naps, and only self-report measures of depressive and anxiety symptoms as well as emotion dysregulation.</div></div><div><h3>Conclusion</h3><div>The findings of elevated cardiovascular activation after – but not during – the stress induction and emotion dysregulation underlines problems in regulating and recovering from stress as predictors of youth internalising psychopathology. Differences between subjective and objective measures of sleep and stress reactivity suggests a role of cognitive biases in these domains.</div></div>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":"375 ","pages":"Pages 331-341"},"PeriodicalIF":4.9,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143038787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Oral microbiota among treatment-naïve adolescents with depression: A case-control study
IF 4.9 2区 医学 Q1 CLINICAL NEUROLOGY Pub Date : 2025-01-22 DOI: 10.1016/j.jad.2025.01.089
Yingying Zeng , Xiaonan Jia , Houyi Li , Ni Zhou , Xuemei Liang , Kezhi Liu , Bao-Zhu Yang , Bo Xiang

Background

Adolescent depression has profound impacts on physical, cognitive, and emotional development. While gut microbiota changes have been linked to depression, the relationship between oral microbiota and depression remains elusive. Our study aims to investigate the oral microbiota in treatment-naïve adolescents experiencing depression and examine their potential associations with cognitive function.

Methods

Our case-control study comprised two groups of adolescents aged 12–17: the depression group, including treatment-naïve individuals diagnosed with DSM-5 major depressive disorder (MDD), and a healthy control group of non-depressed individuals (HC). Participants underwent structured neuropsychiatric assessments, and fasting morning saliva samples were collected for the 16S rRNA sequencing to investigate the oral microbiota.

Results

Significant differences were identified in the α- and β-diversities of the oral microbiota between MDD and HC groups. Specific bacterial taxa, including genera Streptococcus, Neisseria, Hemophilus, Fusobacterium, and g_norank_f_norank_o_Absconditabacteriales_SR1, were significantly associated with MDD. The association extends to cognitive functions, where correlations were observed between certain oral bacteria and cognitive scores, including instant and delayed memory, visual breadth, and speech features for the combined MDD and HC individuals (p < 0.05). Random forest analysis identified ten genera of oral microbes with the highest predictive values for MDD. The area under the curve (AUC) is 0.78 in the receiver operating characteristic (ROC) curve analysis.

Conclusion

Our results highlight the oral microbiota's role as a biomarker for adolescent depression and its impact on cognitive functions. These insights underscore the need for further research into the links between oral health, mental health, and cognitive functions.
{"title":"Oral microbiota among treatment-naïve adolescents with depression: A case-control study","authors":"Yingying Zeng ,&nbsp;Xiaonan Jia ,&nbsp;Houyi Li ,&nbsp;Ni Zhou ,&nbsp;Xuemei Liang ,&nbsp;Kezhi Liu ,&nbsp;Bao-Zhu Yang ,&nbsp;Bo Xiang","doi":"10.1016/j.jad.2025.01.089","DOIUrl":"10.1016/j.jad.2025.01.089","url":null,"abstract":"<div><h3>Background</h3><div>Adolescent depression has profound impacts on physical, cognitive, and emotional development. While gut microbiota changes have been linked to depression, the relationship between oral microbiota and depression remains elusive. Our study aims to investigate the oral microbiota in treatment-naïve adolescents experiencing depression and examine their potential associations with cognitive function.</div></div><div><h3>Methods</h3><div>Our case-control study comprised two groups of adolescents aged 12–17: the depression group, including treatment-naïve individuals diagnosed with DSM-5 major depressive disorder (MDD), and a healthy control group of non-depressed individuals (HC). Participants underwent structured neuropsychiatric assessments, and fasting morning saliva samples were collected for the 16S rRNA sequencing to investigate the oral microbiota.</div></div><div><h3>Results</h3><div>Significant differences were identified in the α- and β<em>-</em>diversities of the oral microbiota between MDD and HC groups. Specific bacterial taxa, including genera <em>Streptococcus</em>, <em>Neisseria</em>, <em>Hemophilus</em>, <em>Fusobacterium</em>, and <em>g_norank_f_norank_o_Absconditabacteriales_SR1</em>, were significantly associated with MDD. The association extends to cognitive functions, where correlations were observed between certain oral bacteria and cognitive scores, including instant and delayed memory, visual breadth, and speech features for the combined MDD and HC individuals (<em>p</em> &lt; 0.05). Random forest analysis identified ten genera of oral microbes with the highest predictive values for MDD. The area under the curve (AUC) is 0.78 in the receiver operating characteristic (ROC) curve analysis.</div></div><div><h3>Conclusion</h3><div>Our results highlight the oral microbiota's role as a biomarker for adolescent depression and its impact on cognitive functions. These insights underscore the need for further research into the links between oral health, mental health, and cognitive functions.</div></div>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":"375 ","pages":"Pages 93-102"},"PeriodicalIF":4.9,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143038837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Individual patterns of activity predict the response to physical exercise as an intervention in mild to moderate depression
IF 4.9 2区 医学 Q1 CLINICAL NEUROLOGY Pub Date : 2025-01-22 DOI: 10.1016/j.jad.2025.01.097
Stefan Spulber , Sandra Ceccatelli , Yvonne Forsell
Physical exercise (PE) as antidepressive intervention is a promising alternative, as shown by multiple meta-analyses. However, there is no consensus regarding optimal intensity and duration of exercise, and there are no objective criteria available for personalized indication of treatment. The aims of this study were (1) to evaluate whether individual activity patterns before intervention can predict the response to treatment; and (2) to evaluate whether the patient outcome can be improved by using prior information on treatment efficacy at individual level. The study included subjects with mild to moderate depression randomized to three PE regimens as antidepressive intervention. Features extracted from actigraphy recordings were used for training linear regression ensembles to predict the response to treatment. The Bayesian analysis of coefficients yielded distinct signatures in enriched feature subsets for each PE regimen. Next, we used a counterfactual approach by virtually assigning each patient to the PE regimen predicted to yield best outcome. This procedure significantly increased the remission rates as compared to random assignment to treatment. Our data suggest that the analysis of individual patterns of activity can identify a PE regimen to yield the best results, and that assignment to PE regimen using this information would significantly increase remission rate.
{"title":"Individual patterns of activity predict the response to physical exercise as an intervention in mild to moderate depression","authors":"Stefan Spulber ,&nbsp;Sandra Ceccatelli ,&nbsp;Yvonne Forsell","doi":"10.1016/j.jad.2025.01.097","DOIUrl":"10.1016/j.jad.2025.01.097","url":null,"abstract":"<div><div>Physical exercise (PE) as antidepressive intervention is a promising alternative, as shown by multiple meta-analyses. However, there is no consensus regarding optimal intensity and duration of exercise, and there are no objective criteria available for personalized indication of treatment. The aims of this study were (1) to evaluate whether individual activity patterns before intervention can predict the response to treatment; and (2) to evaluate whether the patient outcome can be improved by using prior information on treatment efficacy at individual level. The study included subjects with mild to moderate depression randomized to three PE regimens as antidepressive intervention. Features extracted from actigraphy recordings were used for training linear regression ensembles to predict the response to treatment. The Bayesian analysis of coefficients yielded distinct signatures in enriched feature subsets for each PE regimen. Next, we used a counterfactual approach by virtually assigning each patient to the PE regimen predicted to yield best outcome. This procedure significantly increased the remission rates as compared to random assignment to treatment. Our data suggest that the analysis of individual patterns of activity can identify a PE regimen to yield the best results, and that assignment to PE regimen using this information would significantly increase remission rate.</div></div>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":"375 ","pages":"Pages 118-128"},"PeriodicalIF":4.9,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143038707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Hippocampal transcriptome analysis in ClockΔ19 mice identifies pathways associated with glial cell differentiation and myelination.
IF 4.9 2区 医学 Q1 CLINICAL NEUROLOGY Pub Date : 2025-01-22 DOI: 10.1016/j.jad.2025.01.039
Yingying Wei, Liansheng Zhao, Jinxue Wei, Xueli Yu, Long Wei, Rongjun Ni, Tao Li

Background: ClockΔ19 mice demonstrate behavioral characteristics and neurobiological changes that closely resemble those observed in bipolar disorder (BD). Notably, abnormalities in the hippocampus have been observed in patients with BD, yet direct molecular investigation of human hippocampal tissue remains challenging due to its limited accessibility.

Methods: To model BD, ClockΔ19 mice were employed. Weighted gene co-expression network analysis (WGCNA) was utilized to identify mutation-related modules, and changes in cell populations were determined using the computational deconvolution CIBERSORTx. Furthermore, GeneMANIA and protein-protein interactions (PPIs) were leveraged to construct a comprehensive interaction network.

Results: 174 differentially expressed genes (DEGs) were identified, revealing abnormalities in rhythmic processes, mitochondrial metabolism, and various cell functions including morphology, differentiation, and receptor activity. Analysis identified 5 modules correlated with the mutation, with functional enrichment highlighting disturbances in rhythmic processes and neural cell differentiation due to the mutation. Furthermore, a decrease in neural stem cells (NSC), and an increase in astrocyte-restricted precursors (ARP), ependymocytes (EPC), and hemoglobin-expressing vascular cells (Hb-VC) in the mutant mice were observed. A network comprising 12 genes that link rhythmic processes to neural cell differentiation in the hippocampus was also identified.

Limitations: This study focused on the hippocampus of mice, hence the applicability of these findings to human patients warrants further exploration.

Conclusion: The ClockΔ19 mutation may disrupt circadian rhythm, myelination, and the differentiation of neural stem cells (NSCs) into glial cells. These abnormalities are linked to altered expression of key genes, including DPB, CIART, NR1D1, GFAP, SLC20A2, and KL. Furthermore, interactions between SLC20A2 and KL might provide a connection between circadian rhythm regulation and cell type transitions.

{"title":"Hippocampal transcriptome analysis in ClockΔ19 mice identifies pathways associated with glial cell differentiation and myelination.","authors":"Yingying Wei, Liansheng Zhao, Jinxue Wei, Xueli Yu, Long Wei, Rongjun Ni, Tao Li","doi":"10.1016/j.jad.2025.01.039","DOIUrl":"https://doi.org/10.1016/j.jad.2025.01.039","url":null,"abstract":"<p><strong>Background: </strong>ClockΔ19 mice demonstrate behavioral characteristics and neurobiological changes that closely resemble those observed in bipolar disorder (BD). Notably, abnormalities in the hippocampus have been observed in patients with BD, yet direct molecular investigation of human hippocampal tissue remains challenging due to its limited accessibility.</p><p><strong>Methods: </strong>To model BD, ClockΔ19 mice were employed. Weighted gene co-expression network analysis (WGCNA) was utilized to identify mutation-related modules, and changes in cell populations were determined using the computational deconvolution CIBERSORTx. Furthermore, GeneMANIA and protein-protein interactions (PPIs) were leveraged to construct a comprehensive interaction network.</p><p><strong>Results: </strong>174 differentially expressed genes (DEGs) were identified, revealing abnormalities in rhythmic processes, mitochondrial metabolism, and various cell functions including morphology, differentiation, and receptor activity. Analysis identified 5 modules correlated with the mutation, with functional enrichment highlighting disturbances in rhythmic processes and neural cell differentiation due to the mutation. Furthermore, a decrease in neural stem cells (NSC), and an increase in astrocyte-restricted precursors (ARP), ependymocytes (EPC), and hemoglobin-expressing vascular cells (Hb-VC) in the mutant mice were observed. A network comprising 12 genes that link rhythmic processes to neural cell differentiation in the hippocampus was also identified.</p><p><strong>Limitations: </strong>This study focused on the hippocampus of mice, hence the applicability of these findings to human patients warrants further exploration.</p><p><strong>Conclusion: </strong>The ClockΔ19 mutation may disrupt circadian rhythm, myelination, and the differentiation of neural stem cells (NSCs) into glial cells. These abnormalities are linked to altered expression of key genes, including DPB, CIART, NR1D1, GFAP, SLC20A2, and KL. Furthermore, interactions between SLC20A2 and KL might provide a connection between circadian rhythm regulation and cell type transitions.</p>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":" ","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143038644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Anxiolytic effects of accelerated continuous theta burst stimulation on mice exposed to chronic restraint stress and the underlying mechanism involving gut microbiota
IF 4.9 2区 医学 Q1 CLINICAL NEUROLOGY Pub Date : 2025-01-21 DOI: 10.1016/j.jad.2025.01.104
Yihan Wang , Cong Guo , Bowen Zang , Peng Wang , Chuyan Yang , Ruifeng Shi , Yue Kong , Aoran Sui , Shao Li , Yongzhong Lin

Background

Accelerated continuous theta burst stimulation (acTBS) is a more intensive and rapid protocol than continuous theta burst stimulation (cTBS). However, it remains uncertain whether acTBS exhibits anxiolytic effects. The aim of this study was to investigate the impact of acTBS on anxiety model mice and elucidate the underlying mechanisms involved, in order to provide a more comprehensive understanding of its effects.

Methods

Chronic restraint stress (CRS) model was employed to observe the anxiolytic effects of acTBS. The study focused on evaluating the impact of acTBS on behavior, neuroinflammation, gut and gut microbiota in mice with anxiety induced by CRS.

Results

The application of acTBS ameliorated anxiety-like behaviors in CRS-induced mice. Notably, it effectively suppressed the activation of microglia and reduced the level pro-inflammatory cytokines in PFC, hippocampus, and amygdala of anxiety mice. Additionally, acTBS alleviated astrocyte activation specifically in hippocampus. The NF-κB signaling pathway involved in the anti-inflammatory effects of acTBS. Furthermore, acTBS ameliorated inflammation and histological damage in colon. 16S rRNA analysis revealed that acTBS significantly enhanced the relative abundance of Lactobacillus, while normalized the dysregulated levels of Coriobacterales, Bacteroides, and Parabacteroides caused by CRS. These changes facilitated chemoheterotrophic and fermentation functions within the microbiota. Importantly, changes in microbiota composition influenced by acTBS was found to be correlated with anxiety-like behaviors and neuroinflammation.

Conclusions

acTBS exerted anxiolytic effects on mice exposed to CRS, which was associated with the modulation of gut microbiota.
{"title":"Anxiolytic effects of accelerated continuous theta burst stimulation on mice exposed to chronic restraint stress and the underlying mechanism involving gut microbiota","authors":"Yihan Wang ,&nbsp;Cong Guo ,&nbsp;Bowen Zang ,&nbsp;Peng Wang ,&nbsp;Chuyan Yang ,&nbsp;Ruifeng Shi ,&nbsp;Yue Kong ,&nbsp;Aoran Sui ,&nbsp;Shao Li ,&nbsp;Yongzhong Lin","doi":"10.1016/j.jad.2025.01.104","DOIUrl":"10.1016/j.jad.2025.01.104","url":null,"abstract":"<div><h3>Background</h3><div>Accelerated continuous theta burst stimulation (acTBS) is a more intensive and rapid protocol than continuous theta burst stimulation (cTBS). However, it remains uncertain whether acTBS exhibits anxiolytic effects. The aim of this study was to investigate the impact of acTBS on anxiety model mice and elucidate the underlying mechanisms involved, in order to provide a more comprehensive understanding of its effects.</div></div><div><h3>Methods</h3><div>Chronic restraint stress (CRS) model was employed to observe the anxiolytic effects of acTBS. The study focused on evaluating the impact of acTBS on behavior, neuroinflammation, gut and gut microbiota in mice with anxiety induced by CRS.</div></div><div><h3>Results</h3><div>The application of acTBS ameliorated anxiety-like behaviors in CRS-induced mice. Notably, it effectively suppressed the activation of microglia and reduced the level pro-inflammatory cytokines in PFC, hippocampus, and amygdala of anxiety mice. Additionally, acTBS alleviated astrocyte activation specifically in hippocampus. The NF-κB signaling pathway involved in the anti-inflammatory effects of acTBS. Furthermore, acTBS ameliorated inflammation and histological damage in colon. 16S rRNA analysis revealed that acTBS significantly enhanced the relative abundance of <em>Lactobacillus</em>, while normalized the dysregulated levels of Coriobacterales, <em>Bacteroides</em>, and <em>Parabacteroides</em> caused by CRS. These changes facilitated chemoheterotrophic and fermentation functions within the microbiota. Importantly, changes in microbiota composition influenced by acTBS was found to be correlated with anxiety-like behaviors and neuroinflammation.</div></div><div><h3>Conclusions</h3><div>acTBS exerted anxiolytic effects on mice exposed to CRS, which was associated with the modulation of gut microbiota.</div></div>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":"375 ","pages":"Pages 49-63"},"PeriodicalIF":4.9,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143028789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Journal of affective disorders
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