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Prophylactic effect of Tongxieyaofang polysaccharide on depressive behavior in adolescent male mice with chronic unpredictable stress through the microbiome-gut-brain axis. Biomed Pharmacother 2023; 161:114525. [PMID: 36921537 DOI: 10.1016/j.biopha.2023.114525] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 03/09/2023] [Accepted: 03/10/2023] [Indexed: 03/17/2023] Open
Abstract
Major depression disorder is more common among adolescents and is a primary reason for suicide in adolescents. Some antidepressants are ineffective and may possess side effects. Therefore, developing an adolescent antidepressant is the need of the hour. We designed the stress model of adolescent male mice induced by chronic unpredictable stress (CUS). The mice were treated using Tongxieyaofang neutral polysaccharide (TXYF-NP), Tongxieyaofang acidic polysaccharide (TXYF-AP), TXYF-AP + TXYF-NP and fructooligosaccharide + galactooligosaccharides to determine their body weight, behavior, and serum hormone levels. RT-qPCR was used to detect the gene expression of Crhr1, Nr3c1, and Nr3c2 in the hypothalamus and hippocampus and the gene expression of glutamic acid and γ-aminobutyric acid-related receptors in the hippocampus. RT-qPCR, Western blot, and ELISA detected tryptophan metabolism in the colon, serum, and hippocampus. 16s rDNA helped sequence colon microflora, and non-targeted metabolomics enabled the collection of metabolic profiles of colon microflora. In adolescent male mice, CUS induced depression-like behavior, hypothalamic-pituitary-adrenal axis hyperactivity, hippocampal tissue damage, abnormal expression of its related receptors, and dysregulation of tryptophan metabolism. The 16s rDNA and non-targeted metabolomics revealed that CUS led to colon microflora disorder and bile acid metabolism abnormality. Tongxieyaofang polysaccharide could improve the bacterial community and bile acid metabolism disorder by upregulating the relative abundance of Lactobacillus gasseri, Lachnospiraceae bacterium 28-4, Bacteroides and Ruminococcaceae UCG-014 while preventing CUS-induced changes. TXYF-P can inhibit depression-like behavior due to CUS by regulating colonic microflora and restoring bile acid metabolism disorder. Thus, based on the different comparisons, TXYF-NP possessed the best effect.
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Harris BN, Cooke JT, Littlefield AK, Tucker CA, Campbell CM, King KS. Relations among CRFR1 and FKBP5 genotype, cortisol, and cognitive function in aging humans: A Project FRONTIER study. Physiol Behav 2022; 254:113884. [PMID: 35718217 DOI: 10.1016/j.physbeh.2022.113884] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 06/04/2022] [Accepted: 06/13/2022] [Indexed: 01/23/2023]
Abstract
Here we use the glucocorticoid cascade hypothesis framework to address the role of baseline cortisol on changes in cognitive function over a 3-year span in non-demented rural Americans. We also determine if genotype at 4 different single nucleotide polymorphisms (SNPs) relates to change in cognitive function. We predicted 1) over time, increases in baseline cortisol will be associated with decline in cognitive function, 2) individuals homozygous for 3 CRFR1 SNP rare alleles (AA rs110402, TT rs7209436, and TT rs242924 vs. others) will show less cognitive decline and this will be particularly pronounced in those with lower baseline cortisol, and 3) FKBP5 T carriers (TT or CT vs. CC homozygotes) will have decreased cognitive performance and this will be particularly pronounced in individuals with higher baseline cortisol. Collectively, our data do not robustly support the glucocorticoid cascade hypothesis. In several cases, higher baseline cortisol related to better cognitive performance over time, but within individuals, increased cortisol over time related to decreased performance on some cognitive domains over time. Contrary to our predictions, individuals with the rare CRFR1 haplotype (AA, TT, TT) performed worse than individuals with the common haplotype across multiple domains of cognitive function. FKBP5 genotype status had minimal impacts on cognitive outcomes. Genotype effects were largely not dependent on cortisol. The Project FRONTIER dataset is supported by Texas Tech University Health Sciences Center Garrison Institute on Aging.
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Affiliation(s)
- Breanna N Harris
- Department of Biological Sciences, Texas Tech University, Lubbock, TX, United States of America.
| | - Jeffrey T Cooke
- Department of Psychological Sciences, Texas Tech University, Lubbock, TX, United States of America
| | - Andrew K Littlefield
- Department of Psychological Sciences, Texas Tech University, Lubbock, TX, United States of America
| | - Cody A Tucker
- Department of Biological Sciences, Texas Tech University, Lubbock, TX, United States of America
| | - Callie M Campbell
- Department of Biological Sciences, Texas Tech University, Lubbock, TX, United States of America
| | - Kaleb S King
- Department of Biological Sciences, Texas Tech University, Lubbock, TX, United States of America
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3
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Chaudhary S, Zhornitsky S, Roy A, Summers C, Ahles T, Li CR, Chao HH. The effects of androgen deprivation on working memory and quality of life in prostate cancer patients: The roles of hypothalamic connectivity. Cancer Med 2022; 11:3425-3436. [PMID: 35315585 PMCID: PMC9487881 DOI: 10.1002/cam4.4704] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 03/08/2022] [Accepted: 03/11/2022] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Androgen deprivation therapy (ADT) has been associated with adverse effects on the brain. ADT alters testosterone levels via its action on the hypothalamus-pituitary-gonadal axis and may influence hypothalamic functions. Given the wide regional connectivity of the hypothalamus and its role in regulating cognition and behavior, we assessed the effects of ADT on hypothalamic resting state functional connectivity (rsFC) and their cognitive and clinical correlates. METHODS In a prospective observational study, 22 men with nonmetastatic prostate cancer receiving ADT and 28 patients not receiving ADT (controls), matched in age, years of education, and Montreal Cognitive Assessment score, participated in N-back task and quality of life (QoL) assessments and brain imaging at baseline and at 6 months. Imaging data were processed with published routines and the results of a group by time flexible factorial analysis were evaluated at a corrected threshold. RESULTS ADT and control groups did not differ in N-back performance or QoL across time points. Relative to controls, patients receiving ADT showed significantly higher hypothalamus-right mid-cingulate cortex (MCC) and precentral gyrus (PCG) rsFC during follow-up versus baseline. Further, the changes in MCC and PCG rsFC were correlated positively with the change in QoL score and 0-back correct response rate, respectively, in patients with undergoing ADT. CONCLUSION Six-month ADT affects hypothalamic functional connectivity with brain regions critical to cognitive motor and affective functions. Elevated hypothalamic MCC and PCG connectivity likely serve to functionally compensate for the effects of ADT and sustain attention and overall QoL. The longer-term effects of ADT remain to be investigated.
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Affiliation(s)
- Shefali Chaudhary
- Department of PsychiatryYale University School of MedicineNew HavenConnecticutUSA
| | - Simon Zhornitsky
- Department of PsychiatryYale University School of MedicineNew HavenConnecticutUSA
| | - Alicia Roy
- VA Connecticut Healthcare SystemWest HavenConnecticutUSA
| | | | - Tim Ahles
- Department of Psychiatry and Behavioral SciencesMemorial Sloan Kettering Cancer CenterNew YorkNew YorkUSA
| | - Chiang‐Shan R. Li
- Departments of Psychiatry and Neuroscience, Interdepartmental Neuroscience ProgramYale University School of Medicine, Wu Tsai Institute, Yale UniversityNew HavenConnecticutUSA
| | - Herta H. Chao
- VA Connecticut Healthcare SystemWest HavenConnecticutUSA
- Department of Medicine & Yale Comprehensive Cancer CenterYale University School of MedicineNew HavenCTUSA
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Chaudhary S, Roy A, Summers C, Zhornitsky S, Ahles T, Li CSR, Chao HH. Hypothalamic connectivities predict individual differences in ADT-elicited changes in working memory and quality of life in prostate cancer patients. Sci Rep 2022; 12:9567. [PMID: 35688928 PMCID: PMC9187668 DOI: 10.1038/s41598-022-13361-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 05/24/2022] [Indexed: 11/09/2022] Open
Abstract
Androgen deprivation therapy (ADT) has been associated with adverse effects on cognition. However, we currently lack understanding of the neurobiology and prognostic markers of these effects. Given that ADT acts via the hypothalamus-pituitary-gonadal axis, we assessed whether baseline hypothalamic resting state functional connectivity (rsFC) could predict changes in working memory and quality of life in prostate cancer patients following androgen deprivation. In a prospective observational study, 28 men with non-metastatic prostate cancer receiving ADT and 38 patients not receiving ADT (controls), matched in age, years of education and Montreal Cognitive Assessment score, participated in brain imaging at baseline, and N-back task and quality-of-life (QoL) assessments at baseline and at 6 months follow-up. Imaging data were processed with published routines and evaluated at a corrected threshold. ADT and control groups did not differ in N-back performance or QoL across time points. In ADT, the changes in 0-back correct response rate (follow-up-baseline) were correlated with baseline hypothalamus-precentral gyrus rsFC; the changes in 1-back correct response rate and reaction time were each correlated with hypothalamus-middle frontal gyrus and superior parietal lobule rsFC. The changes in physical well-being subscore of QoL were correlated with baseline hypothalamus-anterior cingulate and cuneus rsFC. The hypothalamus rsFCs predicted N-back and QoL change with an area under the receiver operating characteristic curve of 0.93 and 0.73, respectively. Baseline hypothalamus-frontoparietal and salience network rsFC's predict inter-subject variations in the changes in working-memory and QoL following 6 months of ADT. Whether and how hypothalamic rsFCs may predict the cognitive and QoL effects with longer-term ADT remain to be investigated.
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Affiliation(s)
- Shefali Chaudhary
- Department of Psychiatry, Yale University School of Medicine, CMHC S110, 34 Park Street, New Haven, CT, 06519, USA.
| | - Alicia Roy
- Cancer Center, VA Connecticut Healthcare System, 950 Campbell Avenue, West Haven, CT, 06516, USA
| | - Christine Summers
- Cancer Center, VA Connecticut Healthcare System, 950 Campbell Avenue, West Haven, CT, 06516, USA
| | - Simon Zhornitsky
- Department of Psychiatry, Yale University School of Medicine, CMHC S110, 34 Park Street, New Haven, CT, 06519, USA
| | - Tim Ahles
- Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Chiang-Shan R Li
- Department of Psychiatry, Yale University, New Haven, CT, 06520, USA
- Department of Neuroscience, Yale University, New Haven, CT, 06520, USA
- Interdepartmental Neuroscience Program, Yale University School of Medicine, Yale University, New Haven, CT, 06520, USA
- Wu Tsai Institute, Yale University, New Haven, CT, 06520, USA
| | - Herta H Chao
- Cancer Center, VA Connecticut Healthcare System, 950 Campbell Avenue, West Haven, CT, 06516, USA.
- Department of Medicine and Yale Comprehensive Cancer Center, Yale University School of Medicine, New Haven, CT, 06519, USA.
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Mukherjee D, Weissenkampen JD, Wasserman E, Krishnamurthy VB, Millett C, Conway S, Saunders EF. Dysregulated Diurnal Cortisol Pattern and Heightened Night-Time Cortisol in Individuals with Bipolar Disorder. Neuropsychobiology 2022; 81:51-59. [PMID: 34320487 PMCID: PMC8795243 DOI: 10.1159/000517343] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 05/17/2021] [Indexed: 01/03/2023]
Abstract
INTRODUCTION Hypothalamic-pituitary-adrenal (HPA) axis dysregulation may contribute to the symptom burden in bipolar disorder (BD). Further characterization of cortisol secretion is needed to improve understanding of the connection between mood, sleep, and the HPA axis. Here, we observe diurnal cortisol patterns in individuals with BD and healthy controls (HCs) to determine time points where differences may occur. METHODS Salivary cortisol was measured at 6 time points (wake, 15, 30, and 45 min after wake, between 2:00 and 4:00 p.m. and 10:00 p.m.) for 3 consecutive days in individuals with symptomatic BD (N = 27) and HC participants (N = 31). A general linear model with correlated errors was utilized to determine if salivary cortisol changed differently throughout the day between the 2 study groups. RESULTS A significant interaction (F = 2.74, df = 5, and p = 0.02) was observed between the time of day and the study group (BD vs. HC) when modeling salivary cortisol over time, indicating that salivary cortisol levels throughout the day significantly differed between the study groups. Specifically, salivary cortisol in BD was elevated compared to HCs at the 10:00 p.m. time point (p = 0.01). CONCLUSION Significantly higher levels of cortisol in participants with BD in the night-time suggest that the attenuation of cortisol observed in healthy individuals may be impaired in those with BD. Reregulation of cortisol levels may be a target of further study and treatment intervention for individuals with BD.
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Affiliation(s)
- Dahlia Mukherjee
- Department of Psychiatry and Behavioral Health, Penn State College of Medicine and Penn State Milton S. Hershey Medical Center, Hershey, PA, United States of America
| | - J. Dylan Weissenkampen
- Neural and Behavioral Sciences, Penn State College of Medicine and Penn State Milton S. Hershey Medical Center, Hershey, PA, United States of America,Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, United States of America
| | - Emily Wasserman
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, United States of America
| | - Venkatesh Basappa Krishnamurthy
- Department of Psychiatry and Behavioral Health, Penn State College of Medicine and Penn State Milton S. Hershey Medical Center, Hershey, PA, United States of America
| | - Caitlin Millett
- Department of Psychiatry and Behavioral Health, Penn State College of Medicine and Penn State Milton S. Hershey Medical Center, Hershey, PA, United States of America,Penn State College of Medicine and Penn State Milton S. Hershey Medical Center, Hershey, PA, United States of America
| | - Stephen Conway
- Penn State College of Medicine and Penn State Milton S. Hershey Medical Center, Hershey, PA, United States of America
| | - Erika F.H. Saunders
- Department of Psychiatry and Behavioral Health, Penn State College of Medicine and Penn State Milton S. Hershey Medical Center, Hershey, PA, United States of America
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Morrens M, Overloop C, Coppens V, Loots E, Van Den Noortgate M, Vandenameele S, Leboyer M, De Picker L. The relationship between immune and cognitive dysfunction in mood and psychotic disorder: a systematic review and a meta-analysis. Mol Psychiatry 2022; 27:3237-3246. [PMID: 35484245 PMCID: PMC9708549 DOI: 10.1038/s41380-022-01582-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 04/11/2022] [Accepted: 04/12/2022] [Indexed: 12/18/2022]
Abstract
BACKGROUND In psychotic and mood disorders, immune alterations are hypothesized to underlie cognitive symptoms, as they have been associated with elevated blood levels of inflammatory cytokines, kynurenine metabolites, and markers of microglial activation. The current meta-analysis synthesizes all available clinical evidence on the associations between immunomarkers (IMs) and cognition in these psychiatric illnesses. METHODS Pubmed, Web of Science, and Psycinfo were searched for peer-reviewed studies on schizophrenia spectrum disorder (SZ), bipolar disorder (BD), or major depressive disorder (MDD) including an association analysis between at least one baseline neuropsychological outcome measure (NP) and one IM (PROSPERO ID:CRD42021278371). Quality assessment was performed using BIOCROSS. Correlation meta-analyses, and random effect models, were conducted in Comprehensive Meta-Analysis version 3 investigating the association between eight cognitive domains and pro-inflammatory and anti-inflammatory indices (PII and AII) as well as individual IM. RESULTS Seventy-five studies (n = 29,104) revealed global cognitive performance (GCP) to be very weakly associated to PII (r = -0.076; p = 0.003; I2 = 77.4) or AII (r = 0.067; p = 0.334; I2 = 38.0) in the combined patient sample. Very weak associations between blood-based immune markers and global or domain-specific GCP were found, either combined or stratified by diagnostic subgroup (GCP x PII: SZ: r = -0.036, p = 0.370, I2 = 70.4; BD: r = -0.095, p = 0.013, I2 = 44.0; MDD: r = -0.133, p = 0.040, I2 = 83.5). We found evidence of publication bias. DISCUSSION There is evidence of only a weak association between blood-based immune markers and cognition in mood and psychotic disorders. Significant publication and reporting biases were observed and most likely underlie the inflation of such associations in individual studies.
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Affiliation(s)
- M. Morrens
- grid.5284.b0000 0001 0790 3681Faculty of Medicine and Health Sciences, Collaborative Antwerp Psychiatric Research Institute (CAPRI), University of Antwerp, Antwerp, Belgium ,Scientific Initiative of Neuropsychiatric and Psychopharmacological Studies (SINAPS), University Psychiatric Centre Duffel, Duffel, Belgium
| | - C. Overloop
- Scientific Initiative of Neuropsychiatric and Psychopharmacological Studies (SINAPS), University Psychiatric Centre Duffel, Duffel, Belgium
| | - V. Coppens
- grid.5284.b0000 0001 0790 3681Faculty of Medicine and Health Sciences, Collaborative Antwerp Psychiatric Research Institute (CAPRI), University of Antwerp, Antwerp, Belgium ,Scientific Initiative of Neuropsychiatric and Psychopharmacological Studies (SINAPS), University Psychiatric Centre Duffel, Duffel, Belgium
| | - E. Loots
- grid.5284.b0000 0001 0790 3681Faculty of Medicine and Health Sciences, Nursing and obstetrics, University of Antwerp, Antwerp, Belgium
| | - M. Van Den Noortgate
- grid.5284.b0000 0001 0790 3681Faculty of Medicine and Health Sciences, Collaborative Antwerp Psychiatric Research Institute (CAPRI), University of Antwerp, Antwerp, Belgium
| | - S. Vandenameele
- grid.5284.b0000 0001 0790 3681Faculty of Medicine and Health Sciences, Collaborative Antwerp Psychiatric Research Institute (CAPRI), University of Antwerp, Antwerp, Belgium ,grid.411326.30000 0004 0626 3362University Hospital Brussels, Brussels Health Campus, Jette, Belgium
| | - M. Leboyer
- grid.462410.50000 0004 0386 3258INSERM U955, Equipe Psychiatrie Translationnelle, Créteil, France ,grid.484137.d0000 0005 0389 9389Fondation FondaMental, Créteil, France ,grid.412116.10000 0001 2292 1474AP-HP, Hôpitaux Universitaires Henri Mondor, DHU Pepsy, Pôle de Psychiatrie et d’Addictologie, Créteil, France ,grid.410511.00000 0001 2149 7878Université Paris Est Créteil, Faculté de Médecine, Creteil, France
| | - L. De Picker
- grid.5284.b0000 0001 0790 3681Faculty of Medicine and Health Sciences, Collaborative Antwerp Psychiatric Research Institute (CAPRI), University of Antwerp, Antwerp, Belgium ,Scientific Initiative of Neuropsychiatric and Psychopharmacological Studies (SINAPS), University Psychiatric Centre Duffel, Duffel, Belgium
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Analysis of the cerebellar molecular stress response led to first evidence of a role for FKBP51 in brain FKBP52 expression in mice and humans. Neurobiol Stress 2021; 15:100401. [PMID: 34632006 PMCID: PMC8488056 DOI: 10.1016/j.ynstr.2021.100401] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 09/05/2021] [Accepted: 09/15/2021] [Indexed: 12/15/2022] Open
Abstract
As the cerebellar molecular stress response is understudied, we assessed protein expression levels of hypothalamic-pituitary-adrenal (HPA) axis regulators and neurostructural markers in the cerebellum of a male PTSD mouse model and of unstressed vs. stressed male FK506 binding protein 51 (Fkbp5) knockout (KO) vs. wildtype mice. We explored the translatability of our findings in the Fkbp5 KO model to the situation in humans by correlating mRNA levels of candidates with those of FKBP5 in two whole transcriptome datasets of post-mortem human cerebellum and in blood of unstressed and stressed humans. Fkbp5 deletion rescued the stress-induced loss in hippocampal, prefrontal cortical, and, possibly, also cerebellar FKBP52 expression and modulated post-stress cerebellar expression levels of the glucocorticoid receptor (GR) and possibly (trend) also of glial fibrillary acidic protein (GFAP). Accordingly, expression levels of genes encoding for these three genes correlated with those of FKBP5 in human post-mortem cerebellum, while other neurostructural markers were not related to Fkbp5 either in mouse or human cerebellum. Also, gene expression levels of the two immunophilins correlated inversely in the blood of unstressed and stressed humans. We found transient changes in FKBP52 and persistent changes in GR and GFAP in the cerebellum of PTSD-like mice. Altogether, upon elucidating the cerebellar stress response we found first evidence for a novel facet of HPA axis regulation, i.e., the ability of FKBP51 to modulate the expression of its antagonist FKBP52 in the mouse and, speculatively, also in the human brain and blood and, moreover, detected long-term single stress-induced changes in expression of cerebellar HPA axis regulators and neurostructural markers of which some might contribute to the role of the cerebellum in fear extinction.
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Mikulska J, Juszczyk G, Gawrońska-Grzywacz M, Herbet M. HPA Axis in the Pathomechanism of Depression and Schizophrenia: New Therapeutic Strategies Based on Its Participation. Brain Sci 2021; 11:brainsci11101298. [PMID: 34679364 PMCID: PMC8533829 DOI: 10.3390/brainsci11101298] [Citation(s) in RCA: 99] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 09/24/2021] [Accepted: 09/24/2021] [Indexed: 12/27/2022] Open
Abstract
The hypothalamic-pituitary-adrenal (HPA) axis is involved in the pathophysiology of many neuropsychiatric disorders. Increased HPA axis activity can be observed during chronic stress, which plays a key role in the pathophysiology of depression. Overactivity of the HPA axis occurs in major depressive disorder (MDD), leading to cognitive dysfunction and reduced mood. There is also a correlation between the HPA axis activation and gut microbiota, which has a significant impact on the development of MDD. It is believed that the gut microbiota can influence the HPA axis function through the activity of cytokines, prostaglandins, or bacterial antigens of various microbial species. The activity of the HPA axis in schizophrenia varies and depends mainly on the severity of the disease. This review summarizes the involvement of the HPA axis in the pathogenesis of neuropsychiatric disorders, focusing on major depression and schizophrenia, and highlights a possible correlation between these conditions. Although many effective antidepressants are available, a large proportion of patients do not respond to initial treatment. This review also discusses new therapeutic strategies that affect the HPA axis, such as glucocorticoid receptor (GR) antagonists, vasopressin V1B receptor antagonists and non-psychoactive CB1 receptor agonists in depression and/or schizophrenia.
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Zhang Y, Zhang X, Liu N, Ren S, Xia C, Yang X, Lou Y, Wang H, Zhang N, Yan X, Zhang Z, Zhang Y, Wang Z, Chen N. Comparative Proteomic Characterization of Ventral Hippocampus in Susceptible and Resilient Rats Subjected to Chronic Unpredictable Stress. Front Neurosci 2021; 15:675430. [PMID: 34220431 PMCID: PMC8249003 DOI: 10.3389/fnins.2021.675430] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 05/10/2021] [Indexed: 12/19/2022] Open
Abstract
Chronic stress is an essential factor leading to depression. However, there exist individual differences in people exposed to the same stressful stimuli. Some people display negative psychology and behavior, while others are normal. Given the importance of individual difference, finding differentially expressed proteins in stress-resistant and stress-susceptible groups has great significance for the study of pathogenesis and treatment of depression. In this study, stress-susceptible rats and stress-resilient rats were first distinguished by sucrose preference test. These stress-susceptible rats also displayed depression-like behaviors in forced swimming test and open field test. Then, we employed label-free quantitative proteomics to analyze proteins in the ventral hippocampus. There were 4,848 proteins totally identified. Based on statistical analysis, we found 276 differentially expressed proteins. Bioinformatics analysis revealed that the biological processes of these differential proteins were related to mitochondrion organization, protein localization, coenzyme metabolic process, cerebral cortex tangential migration, vesicle-mediated transport, and so on. The KEGG pathways were mainly involved in metabolic pathways, axon guidance, autophagy, and tight junction. Furthermore, we ultimately found 20 stress-susceptible proteins and two stress-resilient proteins. These stress-related proteins could not only be potential biomarkers for depression diagnosis but also contribute to finding new therapeutic targets and providing personalized medicine.
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Affiliation(s)
- Yani Zhang
- State Key Laboratory of Bioactive Substances and Function of Natural Medicines, Institute of Materia Medica and Neuroscience Center, Chinese Academy Medical Sciences and Peking Union Medical College, Beijing, China.,Institute of Clinical Pharmacology and Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xiaoling Zhang
- State Key Laboratory of Bioactive Substances and Function of Natural Medicines, Institute of Materia Medica and Neuroscience Center, Chinese Academy Medical Sciences and Peking Union Medical College, Beijing, China
| | - Nuo Liu
- State Key Laboratory of Bioactive Substances and Function of Natural Medicines, Institute of Materia Medica and Neuroscience Center, Chinese Academy Medical Sciences and Peking Union Medical College, Beijing, China
| | - Siyu Ren
- State Key Laboratory of Bioactive Substances and Function of Natural Medicines, Institute of Materia Medica and Neuroscience Center, Chinese Academy Medical Sciences and Peking Union Medical College, Beijing, China
| | - Congyuan Xia
- State Key Laboratory of Bioactive Substances and Function of Natural Medicines, Institute of Materia Medica and Neuroscience Center, Chinese Academy Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiong Yang
- State Key Laboratory of Bioactive Substances and Function of Natural Medicines, Institute of Materia Medica and Neuroscience Center, Chinese Academy Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuxia Lou
- State Key Laboratory of Bioactive Substances and Function of Natural Medicines, Institute of Materia Medica and Neuroscience Center, Chinese Academy Medical Sciences and Peking Union Medical College, Beijing, China
| | - Huiqin Wang
- State Key Laboratory of Bioactive Substances and Function of Natural Medicines, Institute of Materia Medica and Neuroscience Center, Chinese Academy Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ningning Zhang
- State Key Laboratory of Bioactive Substances and Function of Natural Medicines, Institute of Materia Medica and Neuroscience Center, Chinese Academy Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xu Yan
- State Key Laboratory of Bioactive Substances and Function of Natural Medicines, Institute of Materia Medica and Neuroscience Center, Chinese Academy Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhao Zhang
- State Key Laboratory of Bioactive Substances and Function of Natural Medicines, Institute of Materia Medica and Neuroscience Center, Chinese Academy Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yi Zhang
- Department of Anatomy, School of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Zhenzhen Wang
- State Key Laboratory of Bioactive Substances and Function of Natural Medicines, Institute of Materia Medica and Neuroscience Center, Chinese Academy Medical Sciences and Peking Union Medical College, Beijing, China
| | - Naihong Chen
- State Key Laboratory of Bioactive Substances and Function of Natural Medicines, Institute of Materia Medica and Neuroscience Center, Chinese Academy Medical Sciences and Peking Union Medical College, Beijing, China.,Institute of Clinical Pharmacology and Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
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Ferrer A, Soria V, Salvat-Pujol N, Martorell L, Armario A, Urretavizcaya M, Gutiérrez-Zotes A, Monreal JA, Crespo JM, Massaneda C, Vilella E, Palao D, Menchón JM, Labad J. The role of childhood trauma, HPA axis reactivity and FKBP5 genotype on cognition in healthy individuals. Psychoneuroendocrinology 2021; 128:105221. [PMID: 33866068 DOI: 10.1016/j.psyneuen.2021.105221] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Revised: 04/03/2021] [Accepted: 04/04/2021] [Indexed: 11/24/2022]
Abstract
Cognitive impairment has been associated with both childhood adversity and abnormalities of hypothalamic-pituitary-adrenal (HPA) axis function. An interaction exists between the functional polymorphism rs1360780 in the FKBP5 gene and childhood maltreatment, influencing a variety of clinical outcomes. Our goal was to study the relationship between different types of childhood trauma, HPA axis functionality, rs1360780 genotype and cognitive function in 198 healthy individuals who participated in the study. We obtained clinical data, childhood maltreatment scores and neurocognitive performance by clinical assessment; HPA negative feedback was analysed using the dexamethasone suppression test ratio (DSTR) after administration of 0.25 mg of dexamethasone; and the FKBP5 rs1360780 polymorphism was genotyped in DNA obtained from blood samples. The results showed a significant influence of physical neglect on measures of neurocognition as well as an interaction between the DSTR and physical and emotional neglect. Regarding social cognition, a significant association was found with sexual and physical abuse as well as with rs1360780 risk-allele carrier status. Moreover, an interaction between the rs1360780 genotype and the presence of physical abuse was significantly associated with social cognition results. Our results suggest a specific impact of different kinds of childhood maltreatment on measures of neurocognition and social cognition, which might be influenced by HPA axis reactivity and genetic variants in HPA axis-related genes such as FKBP5. Disentangling the relationship between these elements and their influence on cognitive performance might help identify susceptible individuals with higher stress vulnerability and develop preventive interventions.
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Affiliation(s)
- Alex Ferrer
- Department of Psychiatry, Parc Taulí Hospital Universitari, I3PT, Universitat Autònoma de Barcelona, Sabadell, Spain; Department of Clinical Sciences, School of Medicine, Universitat de Barcelona, Barcelona, Spain.
| | - Virginia Soria
- Department of Psychiatry, Bellvitge University Hospital, Bellvitge Biomedical Research Institute (IDIBELL), Neurosciences Group-Psychiatry and Mental Health, Barcelona, Spain; Department of Clinical Sciences, School of Medicine, Universitat de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, Madrid, Spain.
| | - Neus Salvat-Pujol
- Department of Psychiatry, Parc Taulí Hospital Universitari, I3PT, Universitat Autònoma de Barcelona, Sabadell, Spain; Department of Psychiatry, Bellvitge University Hospital, Bellvitge Biomedical Research Institute (IDIBELL), Neurosciences Group-Psychiatry and Mental Health, Barcelona, Spain; Department of Clinical Sciences, School of Medicine, Universitat de Barcelona, Barcelona, Spain.
| | - Lourdes Martorell
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, Madrid, Spain; Hospital Universitari Institut Pere Mata, IISPV, Universitat Rovira i Virgili, Reus, Spain.
| | - Antonio Armario
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, Madrid, Spain; Animal Physiology Unit (Department of Cellular Biology, Physiology and Immunology), Faculty of Biosciences, Universitat Autònoma de Barcelona, Spain; Institut de Neurociències, Spain, Physiology and Immunology), Faculty of Biosciences, Universitat Autònoma de Barcelona, Spain.
| | - Mikel Urretavizcaya
- Department of Psychiatry, Bellvitge University Hospital, Bellvitge Biomedical Research Institute (IDIBELL), Neurosciences Group-Psychiatry and Mental Health, Barcelona, Spain; Department of Clinical Sciences, School of Medicine, Universitat de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, Madrid, Spain.
| | - Alfonso Gutiérrez-Zotes
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, Madrid, Spain; Hospital Universitari Institut Pere Mata, IISPV, Universitat Rovira i Virgili, Reus, Spain.
| | - José Antonio Monreal
- Department of Mental Health, Hospital Universitari Mútua de Terrassa, Universitat de Barcelona, Terrassa, Spain.
| | - José Manuel Crespo
- Department of Psychiatry, Bellvitge University Hospital, Bellvitge Biomedical Research Institute (IDIBELL), Neurosciences Group-Psychiatry and Mental Health, Barcelona, Spain; Department of Clinical Sciences, School of Medicine, Universitat de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, Madrid, Spain.
| | - Clara Massaneda
- Department of Psychiatry, Bellvitge University Hospital, Bellvitge Biomedical Research Institute (IDIBELL), Neurosciences Group-Psychiatry and Mental Health, Barcelona, Spain.
| | - Elisabet Vilella
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, Madrid, Spain; Hospital Universitari Institut Pere Mata, IISPV, Universitat Rovira i Virgili, Reus, Spain.
| | - Diego Palao
- Department of Psychiatry, Parc Taulí Hospital Universitari, I3PT, Universitat Autònoma de Barcelona, Sabadell, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, Madrid, Spain.
| | - José Manuel Menchón
- Department of Psychiatry, Bellvitge University Hospital, Bellvitge Biomedical Research Institute (IDIBELL), Neurosciences Group-Psychiatry and Mental Health, Barcelona, Spain; Department of Clinical Sciences, School of Medicine, Universitat de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, Madrid, Spain.
| | - Javier Labad
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, Madrid, Spain; Department of Mental Health, Consorci Sanitari del Maresme, Mataró, Spain; Institut de Investigació i Innovació Parc Taulí (I3PT), Barcelona, Spain.
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11
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Dauvermann MR, Mothersill D, Rokita KI, King S, Holleran L, Kane R, McKernan DP, Kelly JP, Morris DW, Corvin A, Hallahan B, McDonald C, Donohoe G. Changes in Default-Mode Network Associated With Childhood Trauma in Schizophrenia. Schizophr Bull 2021; 47:1482-1494. [PMID: 33823040 PMCID: PMC8379545 DOI: 10.1093/schbul/sbab025] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND There is considerable evidence of dysconnectivity within the default-mode network (DMN) in schizophrenia, as measured during resting-state functional MRI (rs-fMRI). History of childhood trauma (CT) is observed at a higher frequency in schizophrenia than in the general population, but its relationship to DMN functional connectivity has yet to be investigated. METHODS CT history and rs-fMRI data were collected in 65 individuals with schizophrenia and 132 healthy controls. Seed-based functional connectivity between each of 4 a priori defined seeds of the DMN (medial prefrontal cortex, right and left lateral parietal lobes, and the posterior cingulate cortex) and all other voxels of the brain were compared across groups. Effects of CT on functional connectivity were examined using multiple regression analyses. Where significant associations were observed, regression analyses were further used to determine whether variance in behavioral measures of Theory of Mind (ToM), previously associated with DMN recruitment, were explained by these associations. RESULTS Seed-based analyses revealed evidence of widespread reductions in functional connectivity in patients vs controls, including between the left/right parietal lobe (LP) and multiple other regions, including the parietal operculum bilaterally. Across all subjects, increased CT scores were associated with reduced prefrontal-parietal connectivity and, in patients, with increased prefrontal-cerebellar connectivity also. These CT-associated differences in DMN connectivity also predicted variation in behavioral measures of ToM. CONCLUSIONS These findings suggest that CT history is associated with variation in DMN connectivity during rs-fMRI in patients with schizophrenia and healthy participants, which may partly mediate associations observed between early life adversity and cognitive performance.
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Affiliation(s)
- Maria R Dauvermann
- School of Psychology, National University of Ireland Galway, Galway, Ireland,Center for Neuroimaging, Genetics and Cognition (NICOG), National University of Ireland Galway, Galway, Ireland,McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA
| | - David Mothersill
- School of Psychology, National University of Ireland Galway, Galway, Ireland,Center for Neuroimaging, Genetics and Cognition (NICOG), National University of Ireland Galway, Galway, Ireland,Department of Psychology, National College of Ireland, Dublin, Ireland
| | - Karolina I Rokita
- School of Psychology, National University of Ireland Galway, Galway, Ireland,Center for Neuroimaging, Genetics and Cognition (NICOG), National University of Ireland Galway, Galway, Ireland
| | - Sinead King
- School of Psychology, National University of Ireland Galway, Galway, Ireland,Center for Neuroimaging, Genetics and Cognition (NICOG), National University of Ireland Galway, Galway, Ireland
| | - Laurena Holleran
- School of Psychology, National University of Ireland Galway, Galway, Ireland,Center for Neuroimaging, Genetics and Cognition (NICOG), National University of Ireland Galway, Galway, Ireland
| | - Ruan Kane
- School of Psychology, National University of Ireland Galway, Galway, Ireland,Center for Neuroimaging, Genetics and Cognition (NICOG), National University of Ireland Galway, Galway, Ireland
| | - Declan P McKernan
- Center for Neuroimaging, Genetics and Cognition (NICOG), National University of Ireland Galway, Galway, Ireland,Pharmacology and Therapeutics, National University of Ireland Galway, Galway, Ireland
| | - John P Kelly
- Center for Neuroimaging, Genetics and Cognition (NICOG), National University of Ireland Galway, Galway, Ireland,Pharmacology and Therapeutics, National University of Ireland Galway, Galway, Ireland
| | - Derek W Morris
- School of Psychology, National University of Ireland Galway, Galway, Ireland,Center for Neuroimaging, Genetics and Cognition (NICOG), National University of Ireland Galway, Galway, Ireland,School of Natural Sciences, National University of Ireland Galway, Galway, Ireland
| | - Aiden Corvin
- Department of Psychiatry, Trinity Centre for Health Sciences, St. James’s Hospital, Dublin, Ireland
| | - Brian Hallahan
- School of Psychology, National University of Ireland Galway, Galway, Ireland,Center for Neuroimaging, Genetics and Cognition (NICOG), National University of Ireland Galway, Galway, Ireland,Department of Psychiatry, Clinical Science Institute, National University of Ireland Galway, Galway, Ireland
| | - Colm McDonald
- School of Psychology, National University of Ireland Galway, Galway, Ireland,Center for Neuroimaging, Genetics and Cognition (NICOG), National University of Ireland Galway, Galway, Ireland,Department of Psychiatry, Clinical Science Institute, National University of Ireland Galway, Galway, Ireland
| | - Gary Donohoe
- School of Psychology, National University of Ireland Galway, Galway, Ireland,Center for Neuroimaging, Genetics and Cognition (NICOG), National University of Ireland Galway, Galway, Ireland,To whom correspondence should be addressed; Centre for Neuroimaging and Cognitive Genomics (NICOG), School of Psychology, National University of Ireland Galway, University Road, Galway, Ireland; tel: +353-(0)91-495-122, e-mail:
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12
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Ferber SG, Hazani R, Shoval G, Weller A. Targeting the Endocannabinoid System in Borderline Personality Disorder: Corticolimbic and Hypothalamic Perspectives. Curr Neuropharmacol 2021; 19:360-371. [PMID: 32351183 PMCID: PMC8033970 DOI: 10.2174/1570159x18666200429234430] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 04/09/2020] [Accepted: 04/24/2020] [Indexed: 12/15/2022] Open
Abstract
Borderline Personality Disorder (BPD) is a chronic debilitating psychiatric disorder characterized mainly by emotional instability, chaotic interpersonal relationships, cognitive disturbance (e.g., dissociation and suicidal thoughts) and maladaptive behaviors. BPD has a high rate of comorbidity with other mental disorders and a high burden on society. In this review, we focused on two compromised brain regions in BPD - the hypothalamus and the corticolimbic system, emphasizing the involvement and potential contribution of the endocannabinoid system (ECS) to improvement in symptoms and coping. The hypothalamus-regulated endocrine axes (hypothalamic pituitary - gonadal, thyroid & adrenal) have been found to be dysregulated in BPD. There is also substantial evidence for limbic system structural and functional changes in BPD, especially in the amygdala and hippocampus, including cortical regions within the corticolimbic system. Extensive expression of CB1 and CB2 receptors of the ECS has been found in limbic regions and the hypothalamus. This opens new windows of opportunity for treatment with cannabinoids such as cannabidiol (CBD) as no other pharmacological treatment has shown long-lasting improvement in the BPD population to date. This review aims to show the potential role of the ECS in BPD patients through their most affected brain regions, the hypothalamus and the corticolimbic system. The literature reviewed does not allow for general indications of treatment with CBD in BPD. However, there is enough knowledge to indicate a treatment ratio of a high level of CBD to a low level of THC. A randomized controlled trial investigating the efficacy of cannabinoid based treatments in BPD is warranted.
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Affiliation(s)
| | | | - Gal Shoval
- Address correspondence to this author at the Geha Mental Health Center, Petah Tiqva, Israel; Tel: 972-3-925-8440; Fax: 972-3-925-8276;, E-mail:
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13
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Ni P, Liu M, Wang D, Tian Y, Zhao L, Wei J, Yu X, Qi X, Li X, Yu H, Ni R, Ma X, Deng W, Guo W, Wang Q, Li T. Association Analysis Between Catechol-O-Methyltransferase Expression and Cognitive Function in Patients with Schizophrenia, Bipolar Disorder, or Major Depression. Neuropsychiatr Dis Treat 2021; 17:567-574. [PMID: 33654399 PMCID: PMC7910219 DOI: 10.2147/ndt.s286102] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2020] [Accepted: 01/22/2021] [Indexed: 02/05/2023] Open
Abstract
INTRODUCTION Schizophrenia, bipolar disorder (BD), and major depressive disorder are three common mental disorders. Although their diagnosis and treatment differ, they partially overlap. METHODS To explore the similarities and characteristics of these three psychiatric diseases, an intelligence quotient (IQ) assessment was performed to evaluate cognitive deficits. Relative catechol-O-methyltransferase (COMT) expression in peripheral blood mononuclear cells was examined in all three groups compared with healthy controls (HCs). RESULTS The results indicated that patients with any of the three psychiatric diseases presented IQ deficits, and that the first-episode schizophrenia (FES) group had even lower cognitive function than the other two groups. The relative COMT expression decreased in the FES group and increased in the BD group compared with the HC group. The correlation analysis of COMT expression level and IQ scores showed a positive correlation between relative COMT expression and full-scale IQ in the HC group. However, this correlation disappeared in all three psychiatric diseases studied. CONCLUSION In conclusion, this cross-disease strategy provided important clues to explain lower IQ scores and dysregulated COMT expression among three common mental illnesses.
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Affiliation(s)
- Peiyan Ni
- The Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Huaxi Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Manli Liu
- The Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Huaxi Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Dequan Wang
- The Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Huaxi Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Yang Tian
- The Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Huaxi Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Liansheng Zhao
- The Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Huaxi Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Jinxue Wei
- The Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Huaxi Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Xueli Yu
- The Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Huaxi Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Xueyu Qi
- The Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Huaxi Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Xiaojing Li
- The Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Huaxi Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Hua Yu
- The Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Huaxi Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Rongjun Ni
- The Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Huaxi Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Xiaohong Ma
- The Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Huaxi Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Wei Deng
- The Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Huaxi Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Wanjun Guo
- The Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Huaxi Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Qiang Wang
- The Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Huaxi Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Tao Li
- The Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Huaxi Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.,Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangzhou, People's Republic of China
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