16 results on '"Yousong Su"'
Search Results
2. Relationship between biological rhythm dysregulation and suicidal ideation in patients with major depressive disorder
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Dan Liu, Min Zhang, Lei Ding, Jia Huang, Yun Wang, Yousong Su, Zheng Chen, Yiyun Cai, Shen He, and Daihui Peng
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Major depressive disorder ,Biological rhythm ,Suicide ideation ,Biological rhythms interview of assessment in neuropsychiatry ,Psychiatry ,RC435-571 - Abstract
Abstract Background Although the disturbance of circadian rhythms represents a significant clinical feature of major depressive disorder (MDD), the relationship between biological rhythm disturbances and the severity of suicidal ideation in individuals with MDD remains unclear. We aimed to explore the characteristics of different biological rhythm dimensions in MDD and their association with the severity of depressive symptoms and suicidal ideation. Methods A total of 50 MDD patients and 50 healthy controls were recruited and their general information was collected. The severity of depressive symptoms was assessed with the 17-item Hamilton Depression Rating Scale (HDRS17). The intensity of suicidal ideation was evaluated with the Beck Scale for Suicide Ideation (BSS). The Chinese version of the Biological Rhythms Interview of Assessment in Neuropsychiatry (BRIAN) scale was utilized to assess the participants’ biological rhythm dysregulation. Multiple logistic regression analysis was conducted to explore the relationship between biological rhythm and the risk of MDD. Multiple linear regression analysis was performed in the MDD group to investigate the relationship between different biological rhythm dimensions and suicide ideation. Results Significant differences were observed between the MDD group and the control group in total BRIAN score (Z=-5.41, P
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- 2024
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3. The applicability and efficacy of Micro-Video Psychological Training Camp in groups with mild to moderate symptoms of depression and anxiety: A prospective and randomized controlled trial protocol
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Wenqing Zhao, Shuangyi Chen, Jun Hu, Qing Zhou, Jing Tao, Rui Gao, Jie Zhang, Shanshan Su, Yuan Wang, Yousong Su, Yihua Peng, Yanru Wu, Qing Fan, Weibo Zhang, Wenhui Jiang, Jun Cai, and Jianyin Qiu
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depression and anxiety symptoms ,mental resilience ,self-service ,psychological intervention ,randomized controlled trial (RCT) ,protocol ,Psychiatry ,RC435-571 - Abstract
BackgroundMental health is a global issue requiring global attention. Depression and anxiety are two of the most common mental disorders (CMDs) and are characterized by high incidence and high comorbidity. In recent years, the prolonged COVID-19 pandemic and exacerbated social instability have posed significant challenges to the mental resilience and mental health outcomes of the global population. Now more than ever, with an increase in mental health needs, it has become even more crucial to find an effective solution to provide universal mental healthcare. Psychotherapy is of vital importance for those coping with symptoms of depression and anxiety and is used to enhance mental resilience. However, such therapy can be difficult to access in reality. In this context, the Micro-Video Psychological Training Camp (MVPTC) platform will be developed.ObjectivesAs an online self-help platform for psychological intervention, the MVPTC platform was developed for those who suffer from mild to moderate symptoms of depression and/or anxiety and is tasked with the goal of reducing depressive and anxious symptoms while improving mental resilience. Thus, this study will be carried out to verify its efficacy and applicability.MethodsIn this parallel-group, randomized controlled trial, a total of 200 mild to moderately depressed and/or anxious adults seeking self-help will be randomly recruited and assigned to either the micro-video psychological intervention group or the wait list control group. Online measurements by self-assessment will be taken at baseline, post-intervention, 1-month, and 3-month follow-up.ResultsThe primary results will involve symptoms of depression and anxiety. The secondary results will involve mental resilience. An analysis will be conducted based on the intention-to-treat principle.DiscussionThis trial will examine whether the MVPTC platform for the relief of symptoms and the enhancement of resilience in a population screened for depression and anxiety symptoms proves effective and applicable. Large-scale resilience enhancement may benefit public mental health in terms of preventive interventions, managing depressive and anxiety symptoms, and promoting mental health. With the MVPTC-based method being applied, a brief, efficient, and structured intervention model can potentially be established, having the potential to provide necessary and accessible mental support for an extensive target group.Clinical trial registrationhttp://www.chictr.org.cn/, identifier ChiCTR2100043725.
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- 2023
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4. Concordance of the treatment patterns for major depressive disorders between the Canadian Network for Mood and Anxiety Treatments (CANMAT) algorithm and real-world practice in China
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Lu Yang, Yousong Su, Sijia Dong, Tao Wu, Yongjing Zhang, Hong Qiu, Wenjie Gu, Yifeng Xu, JianLi Wang, Jun Chen, and Yiru Fang
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depressive disorder ,treatment patterns ,guideline adherence ,treatment algorithm ,real-world studies ,Therapeutics. Pharmacology ,RM1-950 - Abstract
Background: Antidepressant (AD) algorithm is an important tool to support treatment decision-making and improve management of major depressive disorder (MDD). However, little is known about its concordance with real-world practice. This study aimed to assess the concordance between the longitudinal treatment patterns and AD algorithm recommended by a clinical practice guideline in China.Methods: Data were obtained from the electronic medical records of Shanghai Mental Health Center (SMHC), one of the largest mental health institutions in China. We examined the concordance between clinical practice and the Canadian Network for Mood and Anxiety Treatments (CANMAT) algorithm among a cohort composed of 19,955 MDD patients. The longitudinal characteristics of treatment regimen and duration were described to identify the specific inconsistencies. Demographics and health utilizations of the algorithm-concordant and -discordant subgroups with optimized treatment were measured separately.Results: The overall proportion of algorithm-concordant treatment significantly increased from 84.45% to 86.03% during the year of 2015–2017. Among the patients who received recommended first-line drugs with subsequent optimized treatment (n = 2977), the concordance proportion was 27.24%. Mirtazapine and trazodone were the most used drugs for adjunctive strategy. Inadequate or extended duration before optimized treatment are common inconsistency. The median length of follow-up for algorithm-concordant (n = 811) and algorithm-discordant patients (n = 2166) were 153 days (Q1-Q3 = 79–328) and 368 days (Q1-Q3 = 181–577) respectively, and the average number of clinical visits per person-year was 13.07 and 13.08 respectively.Conclusion: Gap existed between clinical practice and AD algorithm. Improved access to evidence-based treatment is required, especially for optimized strategies during outpatient follow-up.
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- 2022
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5. Identifying the Subtypes of Major Depressive Disorder Based on Somatic Symptoms: A Longitudinal Study Using Latent Profile Analysis
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Xiaohui Wu, Yuncheng Zhu, Zhiguo Wu, Jia Huang, Lan Cao, Yun Wang, Yousong Su, Hongmei Liu, Maosheng Fang, Zhijian Yao, Zuowei Wang, Fan Wang, Yong Wang, Daihui Peng, Jun Chen, and Yiru Fang
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major depression disorder ,somatic symptom ,latent profile analysis ,subtype ,GLMM ,Psychiatry ,RC435-571 - Abstract
BackgroundTwo-thirds of major depressive disorder (MDD) patients initially present with somatic symptoms, yet no study has used approaches based on somatic symptoms to subtype MDD. This study aimed to classify MDD via somatic symptoms and tracked the prognosis of each subtype.MethodsData were obtained from the study of Algorithm Guided Treatment Strategies for Major Depressive Disorder (AGTs-MDD). We recruited 395 subjects who received monotherapy of mirtazapine or escitalopram and conducted 2-, 4-, 6-, 8-, and 12-week follow-up assessments (n = 311, 278, 251, 199, and 178, respectively). Latent profile analysis (LPA) was performed on somatic symptom items of the depression and somatic symptoms scale (DSSS). Generalized linear mixed models (GLMM) were used to study the longitudinal prognosis of the subtypes classed by LPA. Primary outcome measures were the Hamilton Depression Rating Scale (HAMD), HAMD score reduction rate, as well as somatic and depressive items of DSSS.ResultsThree subtypes of MDD were found, namely, depression with mild somatic symptoms (68.9%), depression with moderate somatic symptoms (19.2%), and depression with severe somatic symptoms (11.9%). Scores of HAMD (F = 3.175, p = 0.001), somatic (F = 23.594, p < 0.001), and depressive (F = 4.163, p < 0.001) DSSS items throughout the 12-week follow-up showed statistical difference among the three subtypes. The moderate group displayed a higher HAMD-17 score and a lower reduction rate at the 6th week, and more severe depressive symptoms both at the 4th and 6th weeks.ConclusionThe results indicate that somatic symptoms should be emphasized in patients with MDD, and more attention is needed for those with moderate somatic symptoms, which may be relevant to a worse prognosis.
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- 2022
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6. Efficacy of Artificial Intelligence-Assisted Psychotherapy in Patients With Anxiety Disorders: A Prospective, National Multicenter Randomized Controlled Trial Protocol
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Shanshan Su, Yuan Wang, Wenhui Jiang, Wenqing Zhao, Rui Gao, Yanru Wu, Jing Tao, Yousong Su, Jie Zhang, Kangzheng Li, Zhuojun Zhang, Min Zhao, Zhen Wang, Yanli Luo, Xiao Huang, Lanlan Wang, Xiaoping Wang, Yi Li, Qiufang Jia, Lianzi Wang, Huafang Li, Jingjing Huang, Jianyin Qiu, and Yifeng Xu
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anxiety disorder ,artificial intelligence ,psychotherapy ,randomized controlled single-blind trial ,protocol ,Psychiatry ,RC435-571 - Abstract
BackgroundAnxiety disorders have the highest prevalence of all psychiatric disorders in China. Medication and psychotherapy are two main treatment approaches for this group of disorders, and when used in combinations are significantly more beneficial than medication alone. The resources are insufficient. The availability of psychotherapy is low due to the limited resources. Artificial intelligence (AI)-assisted psychotherapy offers an opportunity to develop an efficient and standardized psychotherapy model and improve the availability of psychotherapy, which is key to improve the clinical efficacy of anxiety disorder treatments.ObjectivesThe present protocol aims to determine whether medication plus AI-assisted psychotherapy has greater efficacy than medication alone in the treatment of anxiety disorders.MethodsWe will recruit patients in eight hospitals in China. Seven hundred and eight patients with anxiety disorders will be randomly allocated on a 1:1 basis to either medication plus AI-assisted psychotherapy group, or medication alone group. We have built an AI psychotherapy robot named XIAO AN. In this study we will deliver psychotherapy to patients in the medication plus AI-assisted psychotherapy group. Patients will be assessed at baseline and at the end of week 2, 4, 8, and 12. Follow-up assessments will be conducted at 3 and 6 months posttreatment. The primary outcome is change of Hamilton Anxiety Rating Scale (HAMA) score from baseline the end of 12-week treatment. A secondary efficacy outcome will be improvement in treatment at an early stage (score reduction in HAMA ≥25% after 2 weeks of treatment). Other measurements include Hamilton Depression Scale, Clinical Global Impression, Treatment Emergent Symptom Scale, Social Disability Screening Schedule, Insomnia Severity Index and so on. Scales will be assessed by independent raters who are blind to treatment allocation and analyses will be conducted by a statistician who is also blind to treatment allocation.DiscussionThis will be the first multicentered randomized controlled single-blind trial in China to assess the efficacy of medication plus AI-assisted psychotherapy compared with medication alone for anxiety disorders. The study has the potential to address the limitations of the limited availability of psychotherapy, and to augment the efficacy of the treatment of anxiety disorders in China.
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- 2022
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7. Association between social withdrawal and suicidal ideation in patients with major depressive disorder: The mediational role of emotional symptoms
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Jia, Huang, Min, Zhang, Yiyun, Cai, Zhiguo, Wu, Yousong, Su, Feng, Jin, Na, Zhu, Yiru, Fang, and Daihui, Peng
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- 2024
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8. Efficacy of dynamic interpersonal therapy for major depressive disorder in China: results of a multicentered, three-arm, randomized, controlled trial
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Yuan Wang, Jiayu Yao, Diana Koszycki, Wenhui Jiang, Fang Fang, Minghong Wang, Jing Tao, Wenqing Zhao, Yilan Liu, Shanshan Su, Yihua Peng, Hongyan Wang, Lanlan Wang, Rui Gao, Junjie Gu, Jie Zhang, Yanle Bai, Yanru Wu, Yousong Su, Yating Zhao, Ziwei Zheng, Shuangyi Chen, and Jianyin Qiu
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Psychiatry and Mental health ,Applied Psychology - Abstract
Background Dynamic interpersonal therapy (DIT) is a brief, structured psychodynamic psychotherapy with demonstrated efficacy in treating major depressive disorder (MDD). The aim of the study was to determine whether DIT is an acceptable and efficacious treatment for MDD patients in China. Method Patients were randomized to 16-week treatments with either DIT plus antidepressant medication (DIT + ADM; n = 66), general supportive therapy plus antidepressant medication (GST + ADM; n = 75) or antidepressant medication alone (ADM; n = 70). The Hamilton Depression Rating Scale (HAMD) administered by blind raters was the primary efficacy measure. Assessments were completed during the acute 16-week treatment and up to 12-month posttreatment. Results The group × time interaction was significant for the primary outcome HAMD (F = 2.900, df1 = 10, df2 = 774.72, p = 0.001) in the acute treatment phase. Pairwise comparisons showed a benefit of DIT + ADM over ADM at weeks 12 [least-squares (LS) mean difference = −3.161, p = 0.007] and 16 (LS mean difference = −3.237, p = 0.004). Because of the unexpected high attrition during the posttreatment follow-up phase, analyses of follow-up data were considered exploratory. Differences between DIT + ADM and ADM remained significant at the 1-, 6-, and 12-month follow-up (ps range from 0.001 to 0.027). DIT + ADM had no advantage over GST + ADM during the acute treatment phase. However, at the 12-month follow-up, patients who received DIT remained less depressed. Conclusions Acute treatment with DIT or GST in combination with ADM was similarly efficacious in reducing depressive symptoms and yielded a better outcome than ADM alone. DIT may provide MDD patients with long-term benefits in symptom improvement but results must be viewed with caution.
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- 2023
9. Differences in cognitive functions of atypical and non-atypical depression based on propensity score matching
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Wenxian Lu, Huifeng Zhang, Rubai Zhou, Lei Ding, Yun Wang, Yousong Su, Xinyu Wang, Jiaye Chen, Baichuan Wu, Shen He, Min Zhang, Jia Huang, Yiyun Cai, and Daihui Peng
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Psychiatry and Mental health ,Clinical Psychology - Published
- 2023
10. Validation of the THINC-It Tool for Assessment of Cognitive Impairment in Patients with Bipolar Depression
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Na Zhu, WeiHua Zhang, Jia Huang, Yousong Su, JingFang Lu, Lu Yang, YiFan Shi, ShaoHua Hu, Jun Chen, and Yiru Fang
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Neuropsychiatric Disease and Treatment - Abstract
Na Zhu,1,* WeiHua Zhang,2,* Jia Huang,3 Yousong Su,3 JingFang Lu,3 Lu Yang,3 YiFan Shi,3 ShaoHua Hu,4,* Jun Chen,3,5,* Yiru Fang3,5,6,* 1Department of Psychiatry, Shanghai Pudong New Area Mental Health Center, Tong Ji University School of Medicine, Shanghai, Peopleâs Republic of China; 2Department of Psychiatry, Taizhou Second Peopleâs Hospital, Taizhou, Peopleâs Republic of China; 3Clinical Research Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, Peopleâs Republic of China; 4Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, The Key Laboratory of Mental Disorder Management of Zhejiang Province, Hangzhou, Peopleâs Republic of China; 5Shanghai Key Laboratory of Psychotic Disorders, Shanghai, Peopleâs Republic of China; 6State Key Laboratory of Neuroscience, Shanghai Institutes for Biological Sciences, CAS, Shanghai, Peopleâs Republic of China*These authors contributed equally to this workCorrespondence: ShaoHua Hu; Jun Chen, Email dorhushaohua@zju.edu.cn; doctorcj2010@gmail.comBackground: Cognitive impairment is one of the core features of bipolar depression. A unified, reliable, and valid assessment tool is key to screening and assessing cognitive impairment. The THINC-Integrated Tool (THINC-it) is a simple and quick battery for screening cognitive impairment in patients with major depressive disorder. However, the use of the tool has not been validated in patients with bipolar depression.Methods: The cognitive functions of 120 patients with bipolar depression and 100 healthy controls were evaluated using the THINC-it tool including Spotter, Symbol Check, Codebreaker, Trials, and the only one subjective test (PDQ-5-D) and five corresponding standard tests. A psychometric analysis of the THINC-it tool was performed.Results: The overall Cronbachâs alpha coefficient of the THINC-it tool was 0.815. The intra-group correlation coefficient (ICC) of retest reliability ranged from 0.571 to 0.854 (P< 0.001), while the correlation r of parallel validity ranged from 0.291 to 0.921 (P< 0.001). There were significant differences in the two groups Z-scores of THINC-it total score, Spotter, Codebreaker, Trails, and PDQ-5-D (P< 0.05). Construct validity was analyzed using exploratory factor analysis (EFA). The Kaiser-Meyer-Olkin (KMO) value was 0.749. Using Bartlettâs Sphericity test, the Ï2 (10) value was 198.257 (P< 0.001). The factor loading coefficients of Spotter, Symbol Check, Codebreaker, and Trails on the common factor 1 were â 0.724, 0.748, 0.824, and â 0.717, respectively, and the factor loading coefficient of PDQ-5-D on the common factor 2 was 0.957. Results revealed that the correlation coefficient of the two common factors was 0.125.Conclusion: The THINC-it tool has good reliability and validity in assessing patients with bipolar depression.Keywords: bipolar disorder, cognitive impairment, reliability, THINC-it tool, validity
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- 2023
11. Differing Prevalence and Correlates of Metabolic Syndromes Between Chlorpromazine and Clozapine: A 10-year Retrospective Study of a Male Chinese Cohort
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Mengjuan, Xing, Jialing, Sheng, Mengxin, Cui, Yousong, Su, Chengfang, Zhang, Xi, Chen, Yu, Fang, Donghong, Cui, and Zezhi, Li
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Male ,Metabolic Syndrome ,Pharmacology ,Chlorpromazine ,Cholesterol, HDL ,General Medicine ,Psychiatry and Mental health ,Cholesterol ,Neurology ,Risk Factors ,Prevalence ,Humans ,Pharmacology (medical) ,Neurology (clinical) ,Clozapine ,Antipsychotic Agents ,Retrospective Studies - Abstract
Background: Antipsychotics are known to be associated with metabolic syndromes (MetS). Chlorpromazine (CPZ) and Clozapine (CLZ) are currently the most commonly used antipsychotics in low-income districts of China. However, potential differences in the long-term effects of CPZ and CLZ on MetS in schizophrenia inpatients are not well understood. Here, we aimed to identify any MetS profile differences between long-term schizophrenia patients who were prescribed either CPZ or CLZ at a primary psychiatric hospital. Methods: We recruited a total of 204 male schizophrenia patients who received either CPZ or CLZ. We measured their weight, height, body mass index (BMI), waist circumference (WC), diastolic blood pressure (DBP), and systolic blood pressure (SBP), as well as their biochemical indicators, including fasting blood glucose (FBS), triglycerides (TG), cholesterol (TC), high-density lipoprotein cholesterol (HDL-c) and low-density lipoprotein cholesterol (LDL-c). Results: The MetS prevalence in the CPZ and CLZ groups was 31% and 37.5%, respectively. The CLZ group had significantly higher DBP levels and a higher incidence of dyslipidemia (HDL-c) but lower HDL-c and TC levels than the CPZ group. We also determined that smoking history, BMI, and duration of hospitalisation were risk factors for the development of MetS. Moreover, we found that CPZ and CLZ were correlated with the same risk for developing MetS and that BMI was a vital risk factor of MetS for both the CPZ and CLZ groups. Conclusion: Long-term CPZ and CLZ prescriptions were associated with similar profiles for developing MetS of schizophrenia patients.
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- 2022
12. Associations between gastrointestinal symptoms, medication use, and spontaneous drug discontinuation in patients with major depressive disorder in China
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Jia, Huang, primary, Yiyun, Cai, additional, Zhiguo, Wu, additional, Yousong, Su, additional, Min, Zhang, additional, Yifan, Shi, additional, Na, Zhu, additional, Feng, Jin, additional, Yiru, Fang, additional, and Daihui, Peng, additional
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- 2022
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13. Hyodeoxycholic acid inhibits lipopolysaccharide-induced microglia inflammatory responses through regulating TGR5/AKT/NF-κB signaling pathway
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Han Zhu, Yuyan Bai, Gaorui Wang, Yousong Su, Yanlin Tao, Lupeng Wang, Liu Yang, Hui Wu, Fei Huang, Hailian Shi, and Xiaojun Wu
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Pharmacology ,Inflammation ,Lipopolysaccharides ,Tumor Necrosis Factor-alpha ,NF-kappa B ,Nitric Oxide ,Receptors, G-Protein-Coupled ,Psychiatry and Mental health ,Mice ,Cyclooxygenase 2 ,Animals ,Pharmacology (medical) ,Microglia ,Proto-Oncogene Proteins c-akt ,Deoxycholic Acid ,Signal Transduction - Abstract
Background: Hyodeoxycholic acid (HDCA) is a natural secondary bile acid with enormous pharmacological effects, such as modulating inflammation in neuron. However, whether HDCA could suppress microglial inflammation has not been elucidated yet. Aims: To determine the anti-microglial inflammatory effect of HDCA in lipopolysaccharide (LPS) models and its mechanisms. Methods: The effect of HDCA was evaluated in LPS-stimulated BV2 microglial cells in vitro and the cortex of LPS-treated mice in vivo. Immunohistochemistry and immunofluorescence were used to visualize the localization of nuclear factor kappa light-chain enhancer of activated B cells (NF-κB) and ionized calcium-binding adaptor protein-1 (Iba-1), respectively. The mRNA expression of inflammatory cytokines was measured by RT-qPCR. The protein expression of inducible nitric oxide synthase (iNOS), cyclooxygenase-2 (COX-2), takeda G-coupled protein receptor 5 (TGR5), and the phosphorylation of protein kinase B (AKT), NF-κB, and inhibitor of NF-κB protein α (IκBα) was examined by Western blot. Results: HDCA inhibited the inflammatory responses in LPS-treated BV2 cells and in the cortex of LPS-treated mice, evidenced by decreased production of inflammatory mediators such as iNOS, COX-2, tumor necrosis factor (TNF-α), interleukin (IL)-6, and IL-1β. Further study demonstrated that HDCA repressed the phosphorylation, nuclear translocation, and transcriptional activity of NF-κB and inhibited the activation of AKT in BV-2 cells induced by LPS. Meanwhile, addition of TGR5 inhibitor, triamterene, abolished the effects of HDCA on TGR5, AKT, and NF-κB. Conclusion: The present study demonstrated that HDCA prevents LPS-induced microglial inflammation in vitro and in vivo, the action of which is via regulating TGR5/AKT/NF-κB signaling pathway.
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- 2022
14. The efficacy of nutritional supplements for the adjunctive treatment of schizophrenia in adults: A systematic review and network meta-analysis
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Xianrong Xu, Ge Shao, Xu Zhang, Yan Hu, Jia Huang, Yousong Su, Min Zhang, Yiyun Cai, and Huiping Zhou
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Psychiatry and Mental health ,Vitamin B 12 ,Dietary Supplements ,Fatty Acids, Omega-3 ,Network Meta-Analysis ,Schizophrenia ,Humans ,Vitamins ,Vitamin D ,Biological Psychiatry ,Acetylcysteine - Abstract
Nutritional supplementations have been widely used as adjunctive treatments for schizophrenia. However, among these supplementations, of which the most beneficial is currently unknown. This study aimed to compare and rank the effectiveness of nutritional supplementations in the adjunctive treatments of schizophrenia. The four nutritional supplementations evaluated were: 1) folate acid or vitamin B12; 2) vitamin D; 3) N-acetyl cysteine (NAC); 4) Omega-3 polyunsaturated fatty acid, including docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA). 17 eligible RCTs with 1165 participants were included in this network meta-analysis based on study criteria. NAC supplementation was significantly more efficacious than folic acid or vitamin B12 [MD (95% CI): -6.6 (-10.8, -2.4)] and omega-3 polyunsaturated fatty acid [MD (95% CI): -5.1(-9.9, -0.8)] supplementation in the term of PANSS score changes. There were no significant differences in the PANSS score changes between NAC and vitamin D [MD (95% CI): -5.2 (-10.9, 0.5)] supplementations. The estimated ranking probabilities of treatments showed that NAC might be the most effective adjunctive intervention over all nutritional supplementations. These results indicate that NAC could improve PANSS score and it may be among the most effective nutritional supplementations in schizophrenia patients.
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- 2021
15. Neural biomarker of functional disability in major depressive disorder: A structural neuroimaging study
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Yiru Fang, Chen Zhang, Lvchun Cui, Chengmei Yuan, Jijun Wang, Ruizhi Mao, Lena Palaniyappan, Tao Yang, Jun Chen, Guoqing Zhao, Chenglei Wang, Weiping Xia, Ru-Bai Zhou, Daihui Peng, Yong Wang, Jia Huang, Yousong Su, Jingjing Xu, Zuowei Wang, and Fan Wang
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Right parahippocampal gyrus ,Adult ,Male ,Social Interaction ,Neuroimaging ,Major depressive disorder ,03 medical and health sciences ,0302 clinical medicine ,A longitudinal study ,Brain structure ,Medicine ,Humans ,In patient ,Gray Matter ,Biological Psychiatry ,Social functioning ,Pharmacology ,Depressive Disorder, Major ,business.industry ,Social function ,Brain ,medicine.disease ,Magnetic Resonance Imaging ,030227 psychiatry ,Functional disability ,Biomarker (medicine) ,Parahippocampal Gyrus ,Female ,business ,Biomarkers ,Clinical psychology - Abstract
Background: Most patients with the major depressive disorder (MDD) have varying degrees of impaired social functioning, and functional improvement often lags behind symptomatic improvement. However, it is still unclear if certain neurobiological factors underlie the deficits of social function in MDD. The aim of this study was to investigate the biomarkers of social function in MDD using structural magnetic resonance imaging (MRI). Methods: 3T anatomical MRI was obtained from 272 subjects including 46 high-functioning (high-SF, Sheehan Disability Scale (SDS) rating < 18) and 63 low-functioning (low-SF, SDS score ≥ 18) patients with MDD and 163 healthy controls (HC). Voxel-based morphometry (VBM) was employed to locate brain regions with grey matter (GM) volume differences in relation to social function in MDD. Regions showing GM differences in relation to social function at baseline were followed up longitudinally in a subset of 38 patients scanned after 12-week treatment. Results: Volume of right parahippocampal gyrus (rPHG) was significantly reduced in low-SF patients with MDD when compared to high-SF ones (FDR-corrected p < 0.05). Over 12 weeks of follow-up, though SF improved overall, the high and low-SF subgroups continued to differ in their SF, but had no progressive changes in PHG volume. Limitations: Limited functional assessment, high drop-out rate and median-based grouping method. Conclusions: Greater GM volume (GMV) of the rPHG may mark better social function in patients with MDD.
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- 2021
16. The effect of thyroid function on the risk of psychiatric readmission after hospitalization for major depressive disorder
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Xiaorui Yang, Yuncheng Zhu, Lu Yang, Xiaohui Wu, Tao Yang, Yiru Fang, Jun Chen, JianLi Wang, Ping Sun, Wenjie Gu, Hong Qiu, and Yousong Su
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China ,Depressive Disorder, Major ,medicine.medical_specialty ,Adolescent ,business.industry ,Thyroid disease ,Medical record ,Thyroid Gland ,Retrospective cohort study ,medicine.disease ,Logistic regression ,Patient Readmission ,Comorbidity ,Hospitalization ,Psychiatry and Mental health ,medicine ,Humans ,Major depressive disorder ,Thyroid function ,business ,Psychiatry ,Biological Psychiatry ,Depression (differential diagnoses) ,Retrospective Studies - Abstract
The relationship between thyroid function and depression has long been recognized, but little is known about the effect of thyroid function on the risk of readmission after hospitalization for major depressive disorder (MDD). This retrospective cohort study was aimed to explore the effect of thyroid function on psychiatric readmission after hospitalization for MDD. Data was derived from electronic medical records (EMR) of the Shanghai Mental Health Center (SMHC), Shanghai, China. Univariate and multivariate logistic regression analyses were conducted in subjects aged ≥ 18 years who had been hospitalized for MDD between January 1, 2007, and May 31, 2019. Of the 1803 eligible patients, 85 and 132 patients experienced psychiatric readmission within 90 days and 180 days after discharge respectively. Multivariate analyses showed that serum FT3 level (aOR=1.271; 95%CI=1.051-1.537) and comorbidity of thyroid disease (aOR=2,179; 95%CI=1.136-4.179) was independently associated with the risk of 90-day and 180-day readmission respectively. These findings indicated that high serum FT3 levels and comorbidity of thyroid disease could increase the risk of readmission after hospitalization for MDD. It is warranted to provide routine assessment and intervention of the thyroid function during the treatment of depression so as to prevent re-hospitalization.
- Published
- 2021
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