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Reive B, Johnston JN, Sánchez-Lafuente CL, Zhang L, Chang A, Zhang J, Allen J, Romay-Tallon R, Kalynchuk LE, Caruncho HJ. Intravenous Reelin Treatment Rescues Atrophy of Spleen White Pulp and
Correlates to Rescue of Forced Swim Test Immobility and Neurochemical
Alterations Induced by Chronic Stress. CHRONIC STRESS 2023; 7:24705470231164920. [PMID: 36970446 PMCID: PMC10034288 DOI: 10.1177/24705470231164920] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 03/06/2023] [Indexed: 03/24/2023]
Abstract
Reelin, an extracellular matrix protein with putative antidepressant-like
properties, becomes dysregulated by chronic stress. Improvement in cognitive
dysfunction and depression-like behavior induced by chronic stress has been
reported with both intrahippocampal and intravenous Reelin treatment but the
mechanisms responsible are not clear. To determine if treatment with Reelin
modifies chronic stress-induced dysfunction in immune organs and whether this
relates to behavioral and/or neurochemical outcomes, spleens were collected from
both male (n = 62) and female (n = 53) rats treated with daily corticosterone
injections for three weeks that received Reelin or vehicle. Reelin was
intravenously administered once on the final day of chronic stress, or
repeatedly, with weekly treatments throughout chronic stress. Behavior was
assessed during the forced swim test and the object-in-place test. Chronic
corticosterone caused significant atrophy of the spleen white pulp, but
treatment with a single shot of Reelin restored white pulp in both males and
females. Repeated Reelin injections also resolved atrophy in females.
Correlations were observed between recovery of white pulp atrophy and recovery
of behavioral deficits and expression of both Reelin and glutamate receptor 1 in
the hippocampus, supporting a role of the peripheral immune system in the
recovery of chronic stress-induced behaviors following treatment with Reelin.
Our data adds to research indicating Reelin could be a valuable therapeutic
target for chronic stress-related disorders including major depression.
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Affiliation(s)
- B.S. Reive
- Division of Medical Sciences, University of
Victoria, Victoria, Canada
| | | | | | - Lucy Zhang
- Mount Douglas
Secondary School, Victoria, Canada
| | - Aland Chang
- Mount Douglas
Secondary School, Victoria, Canada
| | | | - Josh Allen
- Division of Medical Sciences, University of
Victoria, Victoria, Canada
| | | | - Lisa E. Kalynchuk
- Division of Medical Sciences, University of
Victoria, Victoria, Canada
| | - Hector J. Caruncho
- Division of Medical Sciences, University of
Victoria, Victoria, Canada
- Hector J. Caruncho, Division of Medical
Sciences, University of Victoria, 3800 Finnerty Road, Victoria, BNC, V8P 5C2,
Canada.
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Fuh SC, Fiori LM, Turecki G, Nagy C, Li Y. Multi-omic modeling of antidepressant response implicates dynamic immune and inflammatory changes in individuals who respond to treatment. PLoS One 2023; 18:e0285123. [PMID: 37186582 PMCID: PMC10184917 DOI: 10.1371/journal.pone.0285123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 04/15/2023] [Indexed: 05/17/2023] Open
Abstract
BACKGROUND Major depressive disorder (MDD) is a leading cause of disability worldwide, and is commonly treated with antidepressant drugs (AD). Although effective, many patients fail to respond to AD treatment, and accordingly identifying factors that can predict AD response would greatly improve treatment outcomes. In this study, we developed a machine learning tool to integrate multi-omic datasets (gene expression, DNA methylation, and genotyping) to identify biomarker profiles associated with AD response in a cohort of individuals with MDD. MATERIALS AND METHODS Individuals with MDD (N = 111) were treated for 8 weeks with antidepressants and were separated into responders and non-responders based on the Montgomery-Åsberg Depression Rating Scale (MADRS). Using peripheral blood samples, we performed RNA-sequencing, assessed DNA methylation using the Illumina EPIC array, and performed genotyping using the Illumina PsychArray. To address this rich multi-omic dataset with high dimensional features, we developed integrative Geneset-Embedded non-negative Matrix factorization (iGEM), a non-negative matrix factorization (NMF) based model, supplemented with auxiliary information regarding gene sets and gene-methylation relationships. In particular, we factorize the subjects by features (i.e., gene expression or DNA methylation) into subjects-by-factors and factors-by-features. We define the factors as the meta-phenotypes as they represent integrated composite scores of the molecular measurements for each subject. RESULTS Using our model, we identified a number of meta-phenotypes which were related to AD response. By integrating geneset information into the model, we were able to relate these meta-phenotypes to biological processes, including a meta-phenotype related to immune and inflammatory functions as well as other genes related to depression or AD response. The meta-phenotype identified several genes including immune interleukin 1 receptor like 1 (IL1RL1) and interleukin 5 receptor (IL5) subunit alpha (IL5RA), AKT/PIK3 pathway related phosphoinositide-3-kinase regulatory subunit 6 (PIK3R6), and sphingomyelin phosphodiesterase 3 (SMPD3), which has been identified as a target of AD treatment. CONCLUSIONS The derived meta-phenotypes and associated biological functions represent both biomarkers to predict response, as well as potential new treatment targets. Our method is applicable to other diseases with multi-omic data, and the software is open source and available on Github (https://github.com/li-lab-mcgill/iGEM).
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Affiliation(s)
- Shih-Chieh Fuh
- School of Computer Science, McGill University, Rue University, Montréal, Quebec, Canada
| | - Laura M Fiori
- Department of Psychiatry, McGill Group for Suicide Studies, Douglas Mental Health University, Montreal, Quebec, Canada
| | - Gustavo Turecki
- Department of Psychiatry, McGill Group for Suicide Studies, Douglas Mental Health University, Montreal, Quebec, Canada
| | - Corina Nagy
- Department of Psychiatry, McGill Group for Suicide Studies, Douglas Mental Health University, Montreal, Quebec, Canada
| | - Yue Li
- School of Computer Science, McGill University, Rue University, Montréal, Quebec, Canada
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Wang Y, Wang H, Sun W, Miao J, Liang W, Qiu X, Lan Y, Pan C, Li G, Zhao X, Zhu Z, Zhu S. Higher Concentration of Adrenocorticotropic Hormone Predicts Post-Stroke Depression. Clin Interv Aging 2022; 17:417-427. [PMID: 35411137 PMCID: PMC8994598 DOI: 10.2147/cia.s356361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Accepted: 03/30/2022] [Indexed: 11/23/2022] Open
Abstract
Background Post-stroke depression (PSD) is the most common neuropsychiatric complication after stroke, seriously affecting the quality of survivors’ life. As one of the important causes of PSD, neuroendocrine mechanism has been widely studied in recent years. The main objective of this study was to investigate the relationship between adrenocorticotropic hormone (ACTH) on admission and PSD at 3 months. Methods This is a hospital-based prospective cohort study, which was conducted at three independent hospitals (Tongji Hospital, Wuhan First Hospital and Wuhan Central Hospital) between August 2018 and June 2019. A total of 768 ischemic stroke patients were finally eligible for analysis and categorized into equal tertiles according to the distribution of ACTH and the number of patients. The χ2-test, Mann–Whitney U-test and Kruskal–Wallis test were used to check for statistical significance. And restricted cubic spline (RCS) regression model was used to explore the non-linear relationship between continuous ACTH levels and PSD at 3 months. Results The optimal cut-off points of ACTH were as follows: (T1) 0.32–20.55 pg/mL, (T2) 20.56–39.79 pg/mL, (T3) 39.80–143.40 pg/mL. A total of 305 patients (39.7%) were diagnosed as PSD at 3 months follow-up. Significant differences were found between the PSD and non-PSD groups in ACTH concentration (P = 0.001). After adjustment for all conventional confounders, the odds ratios of PSD were 1.735 (95% CI = 1.176–2.560, P = 0.005) for the highest tertile of ACTH and 1.496 (95% CI = 1.019–2.194, P = 0.040) for the middle tertile of ACTH, as compared with the lowest tertile. In multiple-adjusted RCS regression, continuous ACTH showed saturation effect relation with PSD risk after 31.02 pg/mL (P for nonlinear = 0.0143). Conclusion Higher ACTH level on admission is a significant and independent biomarker to predict the development of PSD at 3 months follow-up. Besides, saturation effect was revealed even if the underlying mechanism is unclear. For stroke patients, doctors should pay attention to the baseline ACTH for screening high-risk PSD in clinical practice.
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Affiliation(s)
- Yanyan Wang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, People’s Republic of China
| | - He Wang
- Department of Medical Affairs, Tongji Medical College, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, People’s Republic of China
| | - Wenzhe Sun
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, People’s Republic of China
| | - Jinfeng Miao
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, People’s Republic of China
| | - Wenwen Liang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, People’s Republic of China
| | - Xiuli Qiu
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, People’s Republic of China
| | - Yan Lan
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, People’s Republic of China
| | - Chensheng Pan
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, People’s Republic of China
| | - Guo Li
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, People’s Republic of China
| | - Xin Zhao
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, People’s Republic of China
| | - Zhou Zhu
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, People’s Republic of China
- Correspondence: Zhou Zhu; Suiqiang Zhu, Tel +86 18171081029; +86 13035101141, Fax +86 27-83663337, Email ;
| | - Suiqiang Zhu
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, People’s Republic of China
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Scotton E, Antqueviezc B, Vasconcelos M, Dalpiaz G, Paul Géa L, Ferraz Goularte J, Colombo R, Ribeiro Rosa A. Is (R)-ketamine a Potential Therapeutic Agent for Treatment-Resistant Depression with Less Detrimental Side Effects? A Review of Molecular Mechanisms Underlying Ketamine and its Enantiomers. Biochem Pharmacol 2022; 198:114963. [PMID: 35182519 DOI: 10.1016/j.bcp.2022.114963] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 02/09/2022] [Accepted: 02/10/2022] [Indexed: 12/18/2022]
Abstract
Approximately one-third of individuals with major depressive disorder are resistant to conventional antidepressants (i.e., monoamine-based therapies), and, even among respondents, a proper therapeutic effect may require weeks of treatment. Ketamine, a racemic mixture of the two enantiomers, (R)-ketamine and (S)-ketamine, is an N-methyl-d-aspartate receptor (NMDAR) antagonist and has been shown to have rapid-acting antidepressant properties in patients with treatment-resistant depression (TRD). Although (R)-ketamine has a lower affinity for NMDAR, it presents greater potency and longer-lasting antidepressant properties, with no major side effects, than racemic ketamine or (S)-ketamine in preclinical findings. Thereby, ketamine and its enantiomers have not only an antagonistic effect on NMDAR but also a strong synaptogenic-modulatory effect, which is impaired in TRD pathophysiology. In this review, we summarize the current evidence regarding the modulation of neurotransmission, neuroplasticity, and neural network activity as putative mechanisms of these rapid-acting antidepressants, highlighting differences on intracellular signaling pathways of synaptic proteins such as mammalian target of rapamycin (mTOR), extracellular signal-regulated kinase (ERK) and brain-derived neurotrophic factor (BDNF). In addition, we discuss probable mechanisms involved in the side effects of ketamine and its enantiomers.
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Affiliation(s)
- Ellen Scotton
- Laboratório de Psiquiatria Molecular, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil; Department of Pharmacology, Programa de Pós-Graduação em Farmacologia e Terapêutica, UFRGS, Porto Alegre, RS, Brazil.
| | - Bárbara Antqueviezc
- Laboratório de Psiquiatria Molecular, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil.
| | - Mailton Vasconcelos
- Laboratório de Psiquiatria Molecular, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil; Instituto de Psicologia, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil.
| | - Giovana Dalpiaz
- Laboratório de Psiquiatria Molecular, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil.
| | - Luiza Paul Géa
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.
| | - Jéferson Ferraz Goularte
- Laboratório de Psiquiatria Molecular, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil; Programa de Pós-Graduação em Psiquiatria e Ciências do Comportamento, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil.
| | - Rafael Colombo
- Laboratório de Psiquiatria Molecular, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil; Programa de Pós-Graduação em Biotecnologia, Universidade de Caxias do Sul (UCS), Caxias do Sul, RS, Brazil; Programa de Pós-Graduação em Ciências da Saúde, Universidade de Caxias do Sul (UCS), Caxias do Sul, RS, Brazil.
| | - Adriane Ribeiro Rosa
- Laboratório de Psiquiatria Molecular, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil; Department of Pharmacology, Programa de Pós-Graduação em Farmacologia e Terapêutica, UFRGS, Porto Alegre, RS, Brazil; Programa de Pós-Graduação em Psiquiatria e Ciências do Comportamento, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil.
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5
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Brain Research Bulletin Special Issue: Brain–body communication in health and diseases Brain–spleen axis in health and diseases: a review and future perspective. Brain Res Bull 2022; 182:130-140. [DOI: 10.1016/j.brainresbull.2022.02.008] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 02/07/2022] [Accepted: 02/10/2022] [Indexed: 02/06/2023]
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6
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El Bitar F, Al Sudairy N, Qadi N, Al Rajeh S, Alghamdi F, Al Amari H, Al Dawsari G, Alsubaie S, Al Sudairi M, Abdulaziz S, Al Tassan N. A Comprehensive Analysis of Unique and Recurrent Copy Number Variations in Alzheimer's Disease and its Related Disorders. Curr Alzheimer Res 2020; 17:926-938. [PMID: 33256577 DOI: 10.2174/1567205017666201130111424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Revised: 08/20/2020] [Accepted: 10/29/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND Copy number variations (CNVs) play an important role in the genetic etiology of various neurological disorders, including Alzheimer's disease (AD). Type 2 diabetes mellitus (T2DM) and major depressive disorder (MDD) were shown to have share mechanisms and signaling pathways with AD. OBJECTIVE We aimed to assess CNVs regions that may harbor genes contributing to AD, T2DM, and MDD in 67 Saudi familial and sporadic AD patients, with no alterations in the known genes of AD and genotyped previously for APOE. METHODS DNA was analyzed using the CytoScan-HD array. Two layers of filtering criteria were applied. All the identified CNVs were checked in the Database of Genomic Variants (DGV). RESULTS A total of 1086 CNVs (565 gains and 521 losses) were identified in our study. We found 73 CNVs harboring genes that may be associated with AD, T2DM or MDD. Nineteen CNVs were novel. Most importantly, 42 CNVs were unique in our studied cohort existing only in one patient. Two large gains on chromosomes 1 and 13 harbored genes implicated in the studied disorders. We identified CNVs in genes that encode proteins involved in the metabolism of amyloid-β peptide (AGRN, APBA2, CR1, CR2, IGF2R, KIAA0125, MBP, RER1, RTN4R, VDR and WISPI) or Tau proteins (CACNAIC, CELF2, DUSP22, HTRA1 and SLC2A14). CONCLUSION The present work provided information on the presence of CNVs related to AD, T2DM, and MDD in Saudi Alzheimer's patients.
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Affiliation(s)
- Fadia El Bitar
- Department of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Nourah Al Sudairy
- Department of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Najeeb Qadi
- Department of Neurosciences, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | | | - Fatimah Alghamdi
- Institute of Biology and Environmental Research, National Center for Biotechnology, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Hala Al Amari
- Institute of Biology and Environmental Research, National Center for Biotechnology, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Ghadeer Al Dawsari
- Institute of Biology and Environmental Research, National Center for Genomics Technology, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Sahar Alsubaie
- Department of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Mishael Al Sudairi
- Department of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Sara Abdulaziz
- Department of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Nada Al Tassan
- Department of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
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Isgor C, Aydin C, Oztan O, Libreros S, Iragavarapu-Charyulu V. Inter-individual differences in immune profiles of outbred rats screened for an emotional reactivity phenotype. J Neuroimmunol 2020; 347:577349. [PMID: 32750564 DOI: 10.1016/j.jneuroim.2020.577349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 07/24/2020] [Accepted: 07/26/2020] [Indexed: 11/28/2022]
Abstract
Inter-individual differences in emotional reactivity predict susceptibility versus resilience to mood pathology. Using experimentally-naïve outbred rats that vary in locomotor reactivity to the mild stress of an inescapable novel environment [i.e., top and bottom 1/3rd of the population identified as high responders (HR) and low responders (LR) respectively], we determined baseline variations in immune functions. Innate and adaptive immune responses vary basally in LRHR rats, namely a shift towards TH1 in LRs and TH2 in HRs was observed. These inter-individual variations in immune profiles in LRHRs could have significant implications in mood alterations and immune reactivity to microbes and cancer.
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Affiliation(s)
- Ceylan Isgor
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL 33431, United States of America
| | - Cigdem Aydin
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL 33431, United States of America
| | - Ozge Oztan
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL 33431, United States of America
| | - Stephania Libreros
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL 33431, United States of America
| | - Vijaya Iragavarapu-Charyulu
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL 33431, United States of America.
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Zhang J, Chang L, Pu Y, Hashimoto K. Abnormal expression of colony stimulating factor 1 receptor (CSF1R) and transcription factor PU.1 (SPI1) in the spleen from patients with major psychiatric disorders: A role of brain-spleen axis. J Affect Disord 2020; 272:110-115. [PMID: 32379601 DOI: 10.1016/j.jad.2020.03.128] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Revised: 02/10/2020] [Accepted: 03/29/2020] [Indexed: 12/25/2022]
Abstract
BACKGROUND The colony stimulating factor 1 receptor (CSF1R) regulates microglia/macrophage proliferation, differentiation and survival; however, the precise role of this protein in psychiatric disorders is unknown. CSF1R is also known to interact with the transcription factor PU.1 (SPI1). Here we studied whether the expressions of CSF1R and SPI1 are altered in the postmortem samples (parietal cortex, cerebellum, spleen) from patients with major psychiatric disorders. METHODS Protein expression of CSF1R and SPI1 in the parietal cortex, cerebellum and spleen from control, major depressive disorder (MDD), schizophrenia (SZ), and bipolar disorder (BD) groups was measured. RESULTS Levels of CSF1R in the spleen, but not cerebellum and parietal cortex, from MDD and SZ groups were significantly lower than the control group. There was a positive correlation between CSF1R levels in the spleen and CSF1R levels in the parietal cortex in the all subjects from four groups. Furthermore, levels of SPI1 in the cerebellum and spleen from MDD and SZ groups were significantly higher than the control group. Levels of SPI1 in the parietal cortex were not different among the four groups. Interestingly, there was a negative correlation between CSF1R and SPI1 levels in the spleen of the all subjects from four groups. There was also a negative correlation between CSF1R and SPI1 levels in the spleen of MDD group. LIMITATIONS The small number in each group may limit our interpretation. CONCLUSIONS Abnormalities in CSF1R and SPI1 in the brain-spleen axis might, in part, play a role in the pathophysiology of MDD.
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Affiliation(s)
- Jiancheng Zhang
- Division of Clinical Neuroscience, Chiba University Center for Forensic Mental Health, Chiba, 260-8670, Japan; Department of Critical Care Medicine (Dr. Zhang), Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, P.R. China
| | - Lijia Chang
- Division of Clinical Neuroscience, Chiba University Center for Forensic Mental Health, Chiba, 260-8670, Japan
| | - Yaoyu Pu
- Division of Clinical Neuroscience, Chiba University Center for Forensic Mental Health, Chiba, 260-8670, Japan
| | - Kenji Hashimoto
- Division of Clinical Neuroscience, Chiba University Center for Forensic Mental Health, Chiba, 260-8670, Japan.
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Dysfunction of inflammation-resolving pathways is associated with postoperative cognitive decline in elderly mice. Behav Brain Res 2020; 386:112538. [PMID: 32113876 DOI: 10.1016/j.bbr.2020.112538] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 01/19/2020] [Accepted: 02/03/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND Postoperative cognitive dysfunction (POCD) refers to a reversible, perioperative mental disorder. POCD increases the likelihood of postoperative complications and the risk for postoperative mortality, typically among elderly patients (age 65 or older). The importance of the cholinergic anti-inflammatory pathway (CAP) in resolving neuro-inflammatory and cognitive decline caused by sterile trauma has been recognized. We speculate that the POCD in elderly mice is associated with dysfunction of CAP. METHODS Mice were assigned to several groups (n = 5 in each group): AM (adult mice) Sham, AM (adult mice) Surgery, EM (elderly mice) Sham, EM (elderly mice) Surgery, and EMP (elderly mice with PNU) Surgery. At 24 h after surgery, assessed the cognitive levels. Pro-inflammatory cytokines in peripheral blood and splenic monocytes (TNF-α, IL-6 and IL-10) were assessed by ELISA and qPCR. Levels of M2 macrophages in hippocampus were visualized by immunofluorescence. Detecting CD11b/c+α7 nAChR+ cells in the spleens with flow cytometry. RESULTS At postoperative 24 h, elderly mice exhibited significantly increased POCD compared with adult mice. The proinflammatory factor TNF-α and IL-6 were higher among elderly surgery mice (EM) compared with adult surgery (AM) and elderly-P surgery mice (EM-P); the anti-inflammatory factor IL-10 and M2 macrophages were lower among EM surgery mice compared with AM surgery and EM-P surgery mice. The CD11b/c+α7 nAChR+ population of splenocytes was reduced in the EM surgery mice. CONCLUSIONS The exaggerated and persistent cognitive decline and inflammatory response among elderly mice were associated with dysfunction of CAP, and these phenomena were reversed by α7nAch receptor agonists.
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10
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Li J, Wang X, Zheng K, Liu Y, Li J, Wang S, Liu K, Song X, Li N, Xie S, Wang S. The clinical significance of collagen family gene expression in esophageal squamous cell carcinoma. PeerJ 2019; 7:e7705. [PMID: 31598423 PMCID: PMC6779144 DOI: 10.7717/peerj.7705] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Accepted: 08/19/2019] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Esophageal squamous cell carcinoma (ESCC) is a subtype of esophageal cancer with high incidence and mortality. Due to the poor 5-year survival rates of patients with ESCC, exploring novel diagnostic markers for early ESCC is emergent. Collagen, the abundant constituent of extracellular matrix, plays a critical role in tumor growth and epithelial-mesenchymal transition. However, the clinical significance of collagen genes in ESCC has been rarely studied. In this work, we systematically analyzed the gene expression of whole collagen family in ESCC, aiming to search for ideal biomarkers. METHODS Clinical data and gene expression profiles of ESCC patients were collected from The Cancer Genome Atlas and the gene expression omnibus databases. Bioinformatics methods, including differential expression analysis, survival analysis, gene sets enrichment analysis (GSEA) and co-expression network analysis, were performed to investigate the correlation between the expression patterns of 44 collagen family genes and the development of ESCC. RESULTS A total of 22 genes of collagen family were identified as differentially expressed genes in both the two datasets. Among them, COL1A1, COL10A1 and COL11A1 were particularly up-regulated in ESCC tissues compared to normal controls, while COL4A4, COL6A5 and COL14A1 were notably down-regulated. Besides, patients with low COL6A5 expression or high COL18A1 expression showed poor survival. In addition, a 7-gene prediction model was established based on collagen gene expression to predict patient survival, which had better predictive accuracy than the tumor-node-metastasis staging based model. Finally, GSEA results suggested that collagen genes might be tightly associated with PI3K/Akt/mTOR pathway, p53 pathway, apoptosis, cell cycle, etc. CONCLUSION Several collagen genes could be potential diagnostic and prognostic biomarkers for ESCC. Moreover, a novel 7-gene prediction model is probably useful for predicting survival outcomes of ESCC patients. These findings may facilitate early detection of ESCC and help improves prognosis of the patients.
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Affiliation(s)
- Jieling Li
- School of Pharmaceutical Sciences, Shenzhen University Health Science Center, Shenzhen, China
| | - Xiao Wang
- Department of Pharmacy, The Second Clinical Medical College (Shenzhen People’s Hospital), Jinan University, Shenzhen, China
| | - Kai Zheng
- School of Pharmaceutical Sciences, Shenzhen University Health Science Center, Shenzhen, China
| | - Ying Liu
- Department of Pharmacy, The Second Clinical Medical College (Shenzhen People’s Hospital), Jinan University, Shenzhen, China
| | - Junjun Li
- School of Pharmaceutical Sciences, Shenzhen University Health Science Center, Shenzhen, China
| | - Shaoqi Wang
- Department of Oncology, Hubei Provincial Corps Hospital, Chinese People Armed Police Forces, Wuhan, China
| | - Kaisheng Liu
- Department of Pharmacy, The Second Clinical Medical College (Shenzhen People’s Hospital), Jinan University, Shenzhen, China
| | - Xun Song
- School of Pharmaceutical Sciences, Shenzhen University Health Science Center, Shenzhen, China
| | - Nan Li
- Department of Pharmacy, The Second Clinical Medical College (Shenzhen People’s Hospital), Jinan University, Shenzhen, China
| | - Shouxia Xie
- Department of Pharmacy, The Second Clinical Medical College (Shenzhen People’s Hospital), Jinan University, Shenzhen, China
| | - Shaoxiang Wang
- School of Pharmaceutical Sciences, Shenzhen University Health Science Center, Shenzhen, China
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