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Zhang T, Xu L, Wei Y, Tang X, Ju M, Liu X, Zhang D, Liu H, Wang Z, Chen T, Gao J, Hu Q, Zeng L, Yi Z, Li C, Wang J. Investigating the disconnection between cytokine and symptom clusters in clinical high risk populations: Towards a comprehensive cross-dimensional analysis. Prog Neuropsychopharmacol Biol Psychiatry 2025; 138:111356. [PMID: 40180012 DOI: 10.1016/j.pnpbp.2025.111356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2024] [Revised: 03/08/2025] [Accepted: 03/30/2025] [Indexed: 04/05/2025]
Abstract
OBJECTIVE Clustering individuals at the Clinical High-Risk(CHR) stage of psychosis often relies on single dimensions, and the independence or overlap of clustering results across different dimensions lacks sufficient evidence. Additionally, it remains unclear whether combining different dimensions-such as biological markers(e.g., cytokines) and symptomatic dimensions-can enhance predictive efficacy. METHODS This study included 370 individuals with CHR and conducted a three-year follow-up, 50 CHR individuals transitioned to psychosis. The participants underwent thorough symptom assessments, encompassing both clinical symptoms and cognitive impairments. Baseline measurements of eight cytokines were obtained. Latent Class Analysis(LCA) was employed to construct clusters based on both symptom profiles and cytokine levels separately. Survival analysis was utilized to explore differences in conversion rates among different clusters. RESULTS The LCA determined the selection of the four-cluster solution for symptoms, cytokines, and the integrated clusters. Symptom-Cluster-2 exhibited the most severe clinical symptoms and cognitive impairments, while Symptom-Cluster-4 displayed the mildest clinical symptoms and cognitive impairments. Cytokine-Cluster-1 was characterized by the highest levels of inflammatory cytokines, excluding vascular endothelial growth factor, whereas Symptom-Cluster-4 exhibited the lowest levels of cytokines. The clusters identified based on symptoms and cytokines showed substantial inconsistency. Survival analysis comparing conversion rates across four clusters revealed no significant difference in symptom(χ2 = 6.731, p = 0.081) and cytokine(χ2 = 7.139, p = 0.068) clusters but was significant in integrated clusters(χ2 = 9.234, p = 0.026). CONCLUSION The study emphasizes the distinct perspectives on psychosis risk offered by symptom and cytokine dimensions, advocating for the integration of these dimensions in a cross-modal approach to enhance predictive accuracy.
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Affiliation(s)
- TianHong Zhang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China.
| | - LiHua Xu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China
| | - YanYan Wei
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China
| | - XiaoChen Tang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China
| | - MingLiang Ju
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China
| | - XiaoHua Liu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China
| | - Dan Zhang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China
| | - HaiChun Liu
- Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China
| | - ZiXuan Wang
- Shanghai Xinlianxin Psychological Counseling Center, Shanghai, China
| | - Tao Chen
- Big Data Research Lab, University of Waterloo, Ontario, Canada; Labor and Worklife Program, Harvard University, Cambridge, MA, United States
| | - Jin Gao
- Department of Clinical Psychology, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, Shandong, China
| | - Qiang Hu
- Department of Psychiatry, ZhenJiang Mental Health Center, Zhenjiang, China
| | - LingYun Zeng
- Department of Psychiatric Rehabilitation, Shenzhen Kangning Hospital, ShenZhen, GuangDong, China
| | - ZhengHui Yi
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China
| | - ChunBo Li
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China
| | - JiJun Wang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China; Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Science, Shanghai, China; Nantong Fourth People's Hospital and Nantong Brain Hospital, NanTong, Jiangsu 226000, China
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Chen P, Chen W, Xu L, Luan L, Peng R, Zhang X, Yang H. Decreased serum VEGF and NRG1β1 levels in male patients with chronic schizophrenia: VEGF correlation with clinical symptoms and cognitive deficits. J Psychiatr Res 2024; 176:85-92. [PMID: 38850582 DOI: 10.1016/j.jpsychires.2024.06.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 05/19/2024] [Accepted: 06/04/2024] [Indexed: 06/10/2024]
Abstract
BACKGROUND Vascular endothelial growth factor (VEGF) and neuregulin1 (NRG1) are multifunctional trophic factors reported to be dysregulated in schizophrenia. However, the relationships between serum concentrations and schizophrenia symptoms have differed markedly across studies, possibly because schizophrenia is a highly heterogenous disorder. The aim of this study was to investigate the associations of serum VEGF and NRG1 with clinical symptoms and cognitive deficits specifically in male patients with chronic schizophrenia. METHODS The study included 79 male patients with chronic schizophrenia and 79 matched healthy individuals. Serum VEGF, NRG1β1, S100B, S100A8, and neuropilin1 were measured using the Luminex liquid suspension chip detection method, psychopathological symptom severity using the Positive and Negative Symptom Scale (PANSS), and cognitive dysfunction using the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). RESULTS Serum VEGF and NRG1β1 concentrations were significantly lower in male chronic schizophrenic patients than healthy controls (P < 0.05), while serum S100B, S100A8, and neuropilin1 concentrations did not differ between groups (P > 0.05). Serum VEGF concentration was negatively correlated with PANSS negative subscore (beta = -0.220, t = -2.07, P = 0.042), general psychopathology subscore (beta = -0.269, t = -2.55, P = 0.013), and total score (beta = -0.234, t = -2.12, P = 0.038), and positively correlated with RBANS language score (beta = 0.218, t = 2.03, P = 0.045). Alternatively, serum NRG1β1 concentration was not correlated with clinical symptoms or cognitive deficits (all P > 0.05). CONCLUSION Dysregulation of VEGF and NRG1β1 signaling may contribute to the pathogenesis of chronic schizophrenia in males. Moreover, abnormal VEGF signaling may contribute directly or through intermediary processes to neuropsychiatric and cognitive symptom expression.
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Affiliation(s)
- Peng Chen
- Institute of Mental Health, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, 215137, PR China.
| | - Wanming Chen
- Department of Psychiatry, The Fourth People's Hospital of Lianyungang, The Affiliated KangDa College of Nanjing Medical University, Lianyungang, 222003, PR China; Yangzhou University, Yangzhou, 225003, PR China.
| | - Li Xu
- Department of Psychiatry, The Fourth People's Hospital of Lianyungang, The Affiliated KangDa College of Nanjing Medical University, Lianyungang, 222003, PR China; Yangzhou University, Yangzhou, 225003, PR China.
| | - Lingshu Luan
- Department of Psychiatry, The Fourth People's Hospital of Lianyungang, The Affiliated KangDa College of Nanjing Medical University, Lianyungang, 222003, PR China.
| | - Ruijie Peng
- Institute of Mental Health, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, 215137, PR China.
| | - Xiaobin Zhang
- Institute of Mental Health, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, 215137, PR China.
| | - Haidong Yang
- Department of Psychiatry, The Fourth People's Hospital of Lianyungang, The Affiliated KangDa College of Nanjing Medical University, Lianyungang, 222003, PR China.
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Liu B, Wang C, Liu R, Xiang W, Yang C, Li D. Function and mechanism exploring of icariin in schizophrenia through network pharmacology. Brain Res 2024; 1835:148931. [PMID: 38604555 DOI: 10.1016/j.brainres.2024.148931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Revised: 04/04/2024] [Accepted: 04/08/2024] [Indexed: 04/13/2024]
Abstract
This study aims to explore the therapeutic effect and possible mechanisms of icariin in schizophrenia. SD rats were divided into five groups, a control group, a MK801-induced schizophrenia model group, and three icariin treatment groups, with twelve rats in each group. Morris water maze and open field were used to observe the spatial learning and memory ability of rats. Compared with the control group, rats in the MK801-induced model group showed an increase in stereotypic behavior score, distance of spontaneous activities, escape latency, malondialdehyde (MDA) content, and IL-6, IL-1β, TNF-α expression, but a decrease in platform crossing times and superoxide dismutase (SOD) activity (P < 0.05). Furthermore, all the above changes of the model group were reversed after icariin treatment in a dose-dependent manner (P < 0.05). Network pharmacology found that icariin can exert anti-schizophrenic effects through some signaling pathways, such as relaxin, estrogen, and TNF signaling pathways. MAPK1, MAPK3, FOS, RELA, TNF, and JUN were the key targets of icariin on schizophrenia, and their expression was detected in animal models, which was consistent with the predicted results of network pharmacology. Icariin treatment may improve the spatial learning and memory ability of schizophrenic rats through TNF signaling pathway.
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Affiliation(s)
- Bing Liu
- Department of Psychiatry, Wuhan Wudong Hospital, Wuhan 430084, Hubei, China
| | - Chengqiang Wang
- Department of Epidemiology and Statistics, School of Public Health, Guilin Medical University, Guilin 541199, Guangxi, China
| | - Ruyuan Liu
- Department of Epidemiology and Statistics, School of Public Health, Guilin Medical University, Guilin 541199, Guangxi, China
| | - Weilai Xiang
- Department of Epidemiology and Statistics, School of Public Health, Guilin Medical University, Guilin 541199, Guangxi, China
| | - Chang Yang
- Department of Epidemiology and Statistics, School of Public Health, Guilin Medical University, Guilin 541199, Guangxi, China.
| | - Di Li
- Department of Epidemiology and Statistics, School of Public Health, Guilin Medical University, Guilin 541199, Guangxi, China.
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Zhang T, Wei Y, Xu L, Tang X, Hu Y, Liu H, Wang Z, Chen T, Li C, Wang J. Association between serum cytokines and timeframe for conversion from clinical high-risk to psychosis. Psychiatry Clin Neurosci 2024; 78:385-392. [PMID: 38591426 DOI: 10.1111/pcn.13670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 02/22/2024] [Accepted: 03/11/2024] [Indexed: 04/10/2024]
Abstract
AIM Although many studies have explored the link between inflammatory markers and psychosis, there is a paucity of research investigating the temporal progression in individuals at clinical high-risk (CHR) who eventually develop full psychosis. To address this gap, we investigated the correlation between serum cytokine levels and Timeframe for Conversion to Psychosis (TCP) in individuals with CHR. METHODS We enrolled 53 individuals with CHR who completed a 5-year follow-up with a confirmed conversion to psychosis. Granulocyte macrophage-colony stimulating factor (GM-CSF), interleukin (IL)-1β, 2, 6, 8, 10, tumor necrosis factor-α (TNF-α), and vascular endothelial growth factor (VEGF) levels were measured at baseline and 1-year. Correlation and quantile regression analyses were performed. RESULTS The median TCP duration was 14 months. A significantly shorter TCP was associated with higher levels of TNF-α (P = 0.022) and VEGF (P = 0.016). A negative correlation was observed between TCP and TNF-α level (P = 0.006) and VEGF level (P = 0.04). Quantile regression indicated negative associations between TCP and GM-CSF levels below the 0.5 quantile, IL-10 levels below the 0.3 quantile, IL-2 levels below the 0.25 quantile, IL-6 levels between the 0.65 and 0.75 quantiles, TNF-α levels below the 0.8 quantile, and VEGF levels below the 0.7 quantile. A mixed linear effects model identified significant time effects for IL-10 and IL-2, and significant group effects for changes in IL-2 and TNF-α. CONCLUSIONS Our findings underscore that a more pronounced baseline inflammatory state is associated with faster progression of psychosis in individuals with CHR. This highlights the importance of considering individual inflammatory profiles during early intervention and of tailoring preventive measures for risk profiles.
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Affiliation(s)
- TianHong Zhang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - YanYan Wei
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - LiHua Xu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - XiaoChen Tang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - YeGang Hu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - HaiChun Liu
- Department of Automation, Shanghai Jiao Tong University, Shanghai, China
| | - ZiXuan Wang
- Shanghai Xinlianxin Psychological Counseling Center, Shanghai, China
| | - Tao Chen
- Big Data Research Lab, University of Waterloo, Waterloo, Ontario, Canada
- Labor and Worklife Program, Harvard University, Cambridge, Massachusetts, USA
| | - ChunBo Li
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - JiJun Wang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
- Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Science, Shanghai, China
- Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, China
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Wang DM, Chen DC, Xiu MH, Wang L, Kosten TR, Zhang XY. A double-blind, randomized controlled study of the effects of celecoxib on clinical symptoms and cognitive impairment in patients with drug-naïve first episode schizophrenia: pharmacogenetic impact of cyclooxygenase-2 functional polymorphisms. Neuropsychopharmacology 2024; 49:893-902. [PMID: 37903861 PMCID: PMC10948781 DOI: 10.1038/s41386-023-01760-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 09/26/2023] [Accepted: 10/16/2023] [Indexed: 11/01/2023]
Abstract
Chronic low-grade peripheral and central nervous system inflammation may have a role in the pathogenesis of schizophrenia (SCZ). Inhibition of cyclooxygenase-2 (COX2), the arachidonic acid pathway, may inhibit cytokine responses and minimize inflammation. In this study, we added the COX2 inhibitor celecoxib to risperidone monotherapy to examine its efficacy on clinical symptoms and cognitive deficits in drug-naïve first episode (DNFE) SCZ patients. First, we genotyped two polymorphisms (rs5275 and rs689466) in the COX-2 gene in a case-control study of 353 SCZ patients and 422 healthy controls. Ninety patients participated in a 12-week, double-blind, randomized, placebo-controlled trial of celecoxib 400 mg/day. We used the Positive and Negative Syndrome Scale (PANSS) and the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) to assess clinical symptoms and cognition. Our results show that the COX2 rs5275 polymorphism was significantly correlated with SCZ and positive symptoms. After 12-week treatment, celecoxib significantly improved the PANSS total and three subscale scores of SCZ patients. Furthermore, patients with the rs5275 TT genotype had greater improvement in PANSS total score than patients carrying the C allele. However, no significant difference in RBANS total and subscale scores existed between the celecoxib and placebo groups at week 12. Our findings suggest that COX2 inhibitors may be promising therapeutics for clinical symptoms rather than cognitive impairment in first episode SCZ patients. COX2 rs5275 gene polymorphism may be implicated in the development and the efficacy of treating clinical symptoms in SCZ.Trial Registration Number: The trial was registered with www.clinicaltrials.gov (NCT00686140).
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Affiliation(s)
- Dong-Mei Wang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Science, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Da-Chun Chen
- Beijing HuiLongGuan hospital, Peking University, Beijing, China
| | - Mei-Hong Xiu
- Beijing HuiLongGuan hospital, Peking University, Beijing, China
| | - Li Wang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Science, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Thomas R Kosten
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Xiang-Yang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Science, Beijing, China.
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
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Lienggonegoro LA, Dany F, Panjaitan NSD. Serum Levels of Tumor Necrosis Factor-α and Vascular Endothelial Growth Factor in the Subtypes of Clinical High Risk Individuals: A Prospective Cohort Study [Letter]. Neuropsychiatr Dis Treat 2023; 19:1899-1900. [PMID: 37675186 PMCID: PMC10479559 DOI: 10.2147/ndt.s435561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 08/24/2023] [Indexed: 09/08/2023] Open
Affiliation(s)
- Lisa Andriani Lienggonegoro
- Center for Biomedical Research, Research Organization for Health, National Research and Innovation Agency (BRIN), Cibinong Science Center, Cibinong, West Java, Indonesia
| | - Frans Dany
- Center for Biomedical Research, Research Organization for Health, National Research and Innovation Agency (BRIN), Cibinong Science Center, Cibinong, West Java, Indonesia
| | - Novaria Sari Dewi Panjaitan
- Center for Biomedical Research, Research Organization for Health, National Research and Innovation Agency (BRIN), Cibinong Science Center, Cibinong, West Java, Indonesia
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