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Liu W, Su JP, Zeng LL, Shen H, Hu DW. Gene expression and brain imaging association study reveals gene signatures in major depressive disorder. Brain Commun 2024; 6:fcae258. [PMID: 39185029 PMCID: PMC11342243 DOI: 10.1093/braincomms/fcae258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 06/03/2024] [Accepted: 08/09/2024] [Indexed: 08/27/2024] Open
Abstract
Major depressive disorder is often characterized by changes in the structure and function of the brain, which are influenced by modifications in gene expression profiles. How the depression-related genes work together within the scope of time and space to cause pathological changes remains unclear. By integrating the brain-wide gene expression data and imaging data in major depressive disorder, we identified gene signatures of major depressive disorder and explored their temporal-spatial expression specificity, network properties, function annotations and sex differences systematically. Based on correlation analysis with permutation testing, we found 345 depression-related genes significantly correlated with functional and structural alteration of brain images in major depressive disorder and separated them by directional effects. The genes with negative effect for grey matter density and positive effect for functional indices are enriched in downregulated genes in the post-mortem brain samples of patients with depression and risk genes identified by genome-wide association studies than genes with positive effect for grey matter density and negative effect for functional indices and control genes, confirming their potential association with major depressive disorder. By introducing a parameter of dispersion measure on the gene expression data of developing human brains, we revealed higher spatial specificity and lower temporal specificity of depression-related genes than control genes. Meanwhile, we found depression-related genes tend to be more highly expressed in females than males, which may contribute to the difference in incidence rate between male and female patients. In general, we found the genes with negative effect have lower network degree, more specialized function, higher spatial specificity, lower temporal specificity and more sex differences than genes with positive effect, indicating they may play different roles in the occurrence and development of major depressive disorder. These findings can enhance the understanding of molecular mechanisms underlying major depressive disorder and help develop tailored diagnostic and treatment strategies for patients of depression of different sex.
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Affiliation(s)
- Wei Liu
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, Hunan 410073, P.R. China
| | - Jian-Po Su
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, Hunan 410073, P.R. China
| | - Ling-Li Zeng
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, Hunan 410073, P.R. China
| | - Hui Shen
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, Hunan 410073, P.R. China
| | - De-Wen Hu
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, Hunan 410073, P.R. China
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Abstract
INTRODUCTION The distribution pattern and knowledge structure of psychiatric genomics were surveyed based on literature dealing with both psychiatry and genomics/genetics. Coword analysis and bibliographic coupling of the records retrieved from Scopus and PubMed for 2016-2020 revealed the subsurface research aspects. METHOD The data were analyzed using coword analysis and clustering methods using Sci2 and VOSviewer. RESULT Analysis of ~3800 records showed that psychiatric genomics is, as expectedly, covered largely under biomedical subjects with a visible interest in other disciplines such as humanities and ethics. A coword analysis was done for all the years, followed by a year-wise analysis based on the keywords, and then a bibliographic coupling based on the cited references. This led to the generation of different clusters of prevalent research areas. The centrality values described the position of each component. DISCUSSION 'Schizophrenia', 'depression', 'pharmacogenomics', and 'immunopathogenesis' were the research topics of overarching interest. 'Gut-brain axis' and 'gene-environment interaction' were the emerging topics, whereas certain topics such as 'child and adolescent psychiatry' remained priorities when compared to earlier studies. The keywords and research focus were diverse. They ranged from genetics to transcriptomics and epigenetics to proteomics of psychiatric disorders. We found a stagnation of science communication in the field with only 0.2% of the articles from the entire corpus relevant to it. The research categories identified in this study reflect the current publication and research trends in psychiatric genomics.
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Sha Z, Banihashemi L. Integrative omics analysis identifies differential biological pathways that are associated with regional grey matter volume changes in major depressive disorder. Psychol Med 2022; 52:924-935. [PMID: 32723400 DOI: 10.1017/s0033291720002676] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
BACKGROUND Major depressive disorder (MDD) is accompanied by alterations in grey matter volume. However, the biological processes associated with regional structural perturbations remain elusive. METHODS We applied integrative omics analysis to investigate specialized transcriptome signatures and translational determinants associated with regional grey matter variations in 2737 MDD patients relative to 3098 controls by summarizing the results from gene co-expression network analysis of Allen human brain transcriptome profiles in six donors, enrichment analysis of gene-sets and cellular structure from rodents and mediation analysis of BrainSpan proteome profile in six donors. RESULTS We found convergent alterations of grey matter volume in MDD were associated with transcriptome profiles enriched for synaptic transmission, metabolism, immune processes and transmembrane transport. Genes with abnormal expression in post-mortem tissue in MDD were also associated with transcriptome signatures. Further gene co-expression network and enrichment analysis of MDD-related genes in these signatures revealed the modules with higher neuronal expression were enriched in the medial temporal cortex and temporo-parietal junction with genes differentially associated with neuronal development and metabolism. Also, the modules with higher non-neuronal (e.g. astrocyte and oligodendrocyte) expression were concentrated in the rostral and dorsal anterior cingulate cortex and were separately associated with immune response and transmembrane transport. Moreover, proteins as the gene expression products mediated the association between transcriptome signatures and brain volume changes in the visual and dorsolateral prefrontal cortex. CONCLUSIONS Our multidimensional analyses offer a novel approach to detect specific biological pathways that capture regional structural variations in MDD, which suggests structural endophenotypes associated with MDD.
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Affiliation(s)
- Zhiqiang Sha
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Layla Banihashemi
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
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van Alphen B, Stewart S, Iwanaszko M, Xu F, Li K, Rozenfeld S, Ramakrishnan A, Itoh TQ, Sisobhan S, Qin Z, Lear BC, Allada R. Glial immune-related pathways mediate effects of closed head traumatic brain injury on behavior and lethality in Drosophila. PLoS Biol 2022; 20:e3001456. [PMID: 35081110 PMCID: PMC8791498 DOI: 10.1371/journal.pbio.3001456] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2020] [Accepted: 10/22/2021] [Indexed: 02/07/2023] Open
Abstract
In traumatic brain injury (TBI), the initial injury phase is followed by a secondary phase that contributes to neurodegeneration, yet the mechanisms leading to neuropathology in vivo remain to be elucidated. To address this question, we developed a Drosophila head-specific model for TBI termed Drosophila Closed Head Injury (dCHI), where well-controlled, nonpenetrating strikes are delivered to the head of unanesthetized flies. This assay recapitulates many TBI phenotypes, including increased mortality, impaired motor control, fragmented sleep, and increased neuronal cell death. TBI results in significant changes in the transcriptome, including up-regulation of genes encoding antimicrobial peptides (AMPs). To test the in vivo functional role of these changes, we examined TBI-dependent behavior and lethality in mutants of the master immune regulator NF-κB, important for AMP induction, and found that while sleep and motor function effects were reduced, lethality effects were enhanced. Similarly, loss of most AMP classes also renders flies susceptible to lethal TBI effects. These studies validate a new Drosophila TBI model and identify immune pathways as in vivo mediators of TBI effects.
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Affiliation(s)
- Bart van Alphen
- Department of Neurobiology, Northwestern University, Evanston, Illinois, United States of America
| | - Samuel Stewart
- Department of Neurobiology, Northwestern University, Evanston, Illinois, United States of America
| | - Marta Iwanaszko
- Department of Neurobiology, Northwestern University, Evanston, Illinois, United States of America
- Department of Preventive Medicine—Biostatistics, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America
| | - Fangke Xu
- Department of Neurobiology, Northwestern University, Evanston, Illinois, United States of America
| | - Keyin Li
- Department of Neurobiology, Northwestern University, Evanston, Illinois, United States of America
| | - Sydney Rozenfeld
- Department of Neurobiology, Northwestern University, Evanston, Illinois, United States of America
| | - Anujaianthi Ramakrishnan
- Department of Neurobiology, Northwestern University, Evanston, Illinois, United States of America
| | - Taichi Q. Itoh
- Department of Neurobiology, Northwestern University, Evanston, Illinois, United States of America
| | - Shiju Sisobhan
- Department of Neurobiology, Northwestern University, Evanston, Illinois, United States of America
| | - Zuoheng Qin
- Department of Neurobiology, Northwestern University, Evanston, Illinois, United States of America
| | - Bridget C. Lear
- Department of Neurobiology, Northwestern University, Evanston, Illinois, United States of America
| | - Ravi Allada
- Department of Neurobiology, Northwestern University, Evanston, Illinois, United States of America
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Krebs CE, Ori APS, Vreeker A, Wu T, Cantor RM, Boks MPM, Kahn RS, Olde Loohuis LM, Ophoff RA. Whole blood transcriptome analysis in bipolar disorder reveals strong lithium effect. Psychol Med 2020; 50:2575-2586. [PMID: 31589133 DOI: 10.1017/s0033291719002745] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
BACKGROUND Bipolar disorder (BD) is a highly heritable mood disorder with complex genetic architecture and poorly understood etiology. Previous transcriptomic BD studies have had inconsistent findings due to issues such as small sample sizes and difficulty in adequately accounting for confounders like medication use. METHODS We performed a differential expression analysis in a well-characterized BD case-control sample (Nsubjects = 480) by RNA sequencing of whole blood. We further performed co-expression network analysis, functional enrichment, and cell type decomposition, and integrated differentially expressed genes with genetic risk. RESULTS While we observed widespread differential gene expression patterns between affected and unaffected individuals, these effects were largely linked to lithium treatment at the time of blood draw (FDR < 0.05, Ngenes = 976) rather than BD diagnosis itself (FDR < 0.05, Ngenes = 6). These lithium-associated genes were enriched for cell signaling and immune response functional annotations, among others, and were associated with neutrophil cell-type proportions, which were elevated in lithium users. Neither genes with altered expression in cases nor in lithium users were enriched for BD, schizophrenia, and depression genetic risk based on information from genome-wide association studies, nor was gene expression associated with polygenic risk scores for BD. CONCLUSIONS These findings suggest that BD is associated with minimal changes in whole blood gene expression independent of medication use but emphasize the importance of accounting for medication use and cell type heterogeneity in psychiatric transcriptomic studies. The results of this study add to mounting evidence of lithium's cell signaling and immune-related mechanisms.
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Affiliation(s)
- Catharine E Krebs
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA, USA
- Department of Human Genetics, University California Los Angeles, Los Angeles, CA, USA
| | - Anil P S Ori
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA, USA
| | - Annabel Vreeker
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA, USA
- Department of Medical Genetics, University Medical Center Utrecht, Utrecht, Netherlands
| | - Timothy Wu
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA, USA
| | - Rita M Cantor
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA, USA
- Department of Human Genetics, University California Los Angeles, Los Angeles, CA, USA
| | - Marco P M Boks
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, Netherlands
| | - Rene S Kahn
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Loes M Olde Loohuis
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA, USA
| | - Roel A Ophoff
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles, Los Angeles, CA, USA
- Department of Human Genetics, University California Los Angeles, Los Angeles, CA, USA
- Department of Psychiatry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
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6
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Zhang Y, Li S, Li X, Yang Y, Li W, Xiao X, Li M, Lv L, Luo X. Convergent lines of evidence support NOTCH4 as a schizophrenia risk gene. J Med Genet 2020; 58:666-678. [PMID: 32900838 DOI: 10.1136/jmedgenet-2020-106830] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Revised: 06/04/2020] [Accepted: 07/17/2020] [Indexed: 12/22/2022]
Abstract
The association between NOTCH4 and schizophrenia has been repeatedly reported. However, the results from different genetic studies are inconsistent, and the role of NOTCH4 in schizophrenia pathogenesis remains unknown. Here, we provide convergent lines of evidence that support NOTCH4 as a schizophrenia risk gene. We first performed a meta-analysis and found that a genetic variant (rs2071287) in NOTCH4 was significantly associated with schizophrenia (a total of 125 848 subjects, p=8.31×10-17), with the same risk allele across all tested samples. Expression quantitative trait loci (eQTL) analysis showed that rs2071287 was significantly associated with NOTCH4 expression (p=1.08×10-14) in human brain tissues, suggesting that rs2071287 may confer schizophrenia risk through regulating NOTCH4 expression. Sherlock integrative analysis using a large-scale schizophrenia GWAS and eQTL data from human brain tissues further revealed that NOTCH4 was significantly associated with schizophrenia (p=4.03×10-7 in CMC dataset and p=3.06×10-6 in xQTL dataset), implying that genetic variants confer schizophrenia risk through modulating NOTCH4 expression. Consistently, we found that NOTCH4 was significantly downregulated in brains of schizophrenia patients compared with controls (p=2.53×10-3), further suggesting that dysregulation of NOTCH4 may have a role in schizophrenia. Finally, we showed that NOTCH4 regulates proliferation, self-renewal, differentiation and migration of neural stem cells, suggesting that NOTCH4 may confer schizophrenia risk through affecting neurodevelopment. Our study provides convergent lines of evidence that support the involvement of NOTCH4 in schizophrenia. In addition, our study also elucidates a possible mechanism for the role of NOTCH4 in schizophrenia pathogenesis.
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Affiliation(s)
- Yan Zhang
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, China
| | - Shiwu Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650204, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China
| | - Xiaoyan Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650204, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China
| | - Yongfeng Yang
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, China.,Henan Key Lab of Biological Psychiatry of Xinxiang Medical University, Xinxiang, Henan 453002, China.,International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang, Henan 453002, China
| | - Wenqiang Li
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, China.,Henan Key Lab of Biological Psychiatry of Xinxiang Medical University, Xinxiang, Henan 453002, China.,International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang, Henan 453002, China
| | - Xiao Xiao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650204, China
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650204, China
| | - Luxian Lv
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, China .,Henan Key Lab of Biological Psychiatry of Xinxiang Medical University, Xinxiang, Henan 453002, China.,International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang, Henan 453002, China
| | - XiongJian Luo
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650204, China .,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China.,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, Yunnan 650204, China.,KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
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Zhong J, Li S, Zeng W, Li X, Gu C, Liu J, Luo XJ. Integration of GWAS and brain eQTL identifies FLOT1 as a risk gene for major depressive disorder. Neuropsychopharmacology 2019; 44:1542-1551. [PMID: 30771789 PMCID: PMC6785150 DOI: 10.1038/s41386-019-0345-4] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Revised: 02/11/2019] [Accepted: 02/12/2019] [Indexed: 12/28/2022]
Abstract
Major depressive disorder (MDD) is the most prevalent mental disorder that affects more than 200 million people worldwide. Recent large-scale genome-wide association studies (GWAS) have identified multiple risk variants that show robust association with MDD. Nevertheless, how the identified risk variants confer risk of MDD remains largely unknown. To identify risk variants that are associated with gene expression in human brain and to identify genes whose expression change may contribute to the susceptibility of MDD, we systematically integrated the genetic associations from a large-scale MDD GWAS (N = 480,359) and brain expression quantitative trait loci (eQTL) data (N = 494) using a Bayesian statistical framework (Sherlock). Sherlock integrative analysis showed that FLOT1 was significantly associated with MDD (P = 6.02 × 10-6), suggesting that risk variants may contribute to MDD susceptibility through affecting FLOT1 expression. We further examined the expression level of FLOT1 in MDD cases and controls and found that FLOT1 was significantly upregulated in brains and peripheral blood of MDD cases compared with controls (European sample). Interestingly, we found that FLOT1 expression was also significantly upregulated in peripheral blood of first-episode drug-naive MDD cases compared with controls (P = 1.01 × 10-7, Chinese sample). Our study identified FLOT1 as a novel MDD risk gene whose expression level may play a role in MDD. In addition, our findings also suggest that risk variants may confer risk of MDD through affecting expression of FLOT1. Further functional investigation of FLOT1 may provide new insights for MDD pathogenesis.
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Affiliation(s)
- Jingmei Zhong
- The first people’s hospital of Yunnan province, Psychiatry Department, 650032 Kunming, Yunnan China
| | - Shiwu Li
- 0000000119573309grid.9227.eKey Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, 650223 Kunming, Yunnan China ,Kunming College of Life Science, University of Chinese Academy of Sciences, 650204 Kunming, Yunnan China
| | - Wanli Zeng
- Yunnan Academy of Tobacco Science, 650106 Kunming, Yunnan China
| | - Xiaoyan Li
- 0000000119573309grid.9227.eKey Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, 650223 Kunming, Yunnan China ,Kunming College of Life Science, University of Chinese Academy of Sciences, 650204 Kunming, Yunnan China
| | - Chunjie Gu
- The first people’s hospital of Yunnan province, Psychiatry Department, 650032 Kunming, Yunnan China
| | - Jiewei Liu
- 0000000119573309grid.9227.eKey Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, 650223 Kunming, Yunnan China
| | - Xiong-Jian Luo
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, 650223, Kunming, Yunnan, China. .,Kunming College of Life Science, University of Chinese Academy of Sciences, 650204, Kunming, Yunnan, China. .,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, 650223, Kunming, China. .,KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, 650223, Kunming, Yunnan, China.
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Gamazon ER, Zwinderman AH, Cox NJ, Denys D, Derks EM. Multi-tissue transcriptome analyses identify genetic mechanisms underlying neuropsychiatric traits. Nat Genet 2019; 51:933-940. [PMID: 31086352 PMCID: PMC6590703 DOI: 10.1038/s41588-019-0409-8] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2017] [Accepted: 04/03/2019] [Indexed: 01/02/2023]
Abstract
The genetic architecture of psychiatric disorders is characterized by a large number of small-effect variants1 located primarily in non-coding regions, suggesting that the underlying causal effects may influence disease risk by modulating gene expression2-4. We provide comprehensive analyses using transcriptome data from an unprecedented collection of tissues to gain pathophysiological insights into the role of the brain, neuroendocrine factors (adrenal gland) and gastrointestinal systems (colon) in psychiatric disorders. In each tissue, we perform PrediXcan analysis and identify trait-associated genes for schizophrenia (n associations = 499; n unique genes = 275), bipolar disorder (n associations = 17; n unique genes = 13), attention deficit hyperactivity disorder (n associations = 19; n unique genes = 12) and broad depression (n associations = 41; n unique genes = 31). Importantly, both PrediXcan and summary-data-based Mendelian randomization/heterogeneity in dependent instruments analyses suggest potentially causal genes in non-brain tissues, showing the utility of these tissues for mapping psychiatric disease genetic predisposition. Our analyses further highlight the importance of joint tissue approaches as 76% of the genes were detected only in difficult-to-acquire tissues.
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Affiliation(s)
- Eric R Gamazon
- Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands.
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University, Nashville, TN, USA.
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA.
- Data Science Institute, Vanderbilt University, Nashville, TN, USA.
- Clare Hall, University of Cambridge, Cambridge, UK.
| | - Aeilko H Zwinderman
- Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Nancy J Cox
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Damiaan Denys
- Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Eske M Derks
- Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands.
- QIMR Berghofer, Translational Neurogenomics Group, Brisbane, Queensland, Australia.
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Depression and obesity: evidence of shared biological mechanisms. Mol Psychiatry 2019; 24:18-33. [PMID: 29453413 DOI: 10.1038/s41380-018-0017-5] [Citation(s) in RCA: 540] [Impact Index Per Article: 108.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2017] [Revised: 11/13/2017] [Accepted: 12/06/2017] [Indexed: 12/17/2022]
Abstract
Depression and obesity are common conditions with major public health implications that tend to co-occur within individuals. The relationship between these conditions is bidirectional: the presence of one increases the risk for developing the other. It has thus become crucial to gain a better understanding of the mechanisms responsible for the intertwined downward physiological spirals associated with both conditions. The present review focuses specifically on shared biological pathways that may mechanistically explain the depression-obesity link, including genetics, alterations in systems involved in homeostatic adjustments (HPA axis, immuno-inflammatory activation, neuroendocrine regulators of energy metabolism including leptin and insulin, and microbiome) and brain circuitries integrating homeostatic and mood regulatory responses. Furthermore, the review addresses interventional opportunities and questions to be answered by future research that will enable a comprehensive characterization and targeting of the biological links between depression and obesity.
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Ye G, Yin GZ, Tang Z, Fu JL, Chen J, Chen SS, Li J, Fu T, Yu X, Xu DW, Yao JK, Hui L. Association between increased serum interleukin-6 levels and sustained attention deficits in patients with major depressive disorder. Psychol Med 2018; 48:2508-2514. [PMID: 29415791 DOI: 10.1017/s0033291718000090] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
BACKGROUND The pathophysiology of cognitive impairment in patients with the major depressive disorder (MDD) may involve neuroinflammation mediated by cytokines. OBJECTIVE The aim of this study was to examine the serum interleukin-6 (IL-6) levels, sustained attention, and their association in patients with MDD. METHODS Thirty patients with MDD and 30 healthy controls were enrolled in this case-control study. Sustained attention was measured using the Rapid Visual Information Processing (RVP) task in the Cambridge Neuropsychological Tests Automated Battery. The serum IL-6 levels of all subjects were assessed by sandwich enzyme-linked immunosorbent assays. RESULTS There were significant differences in the log10RVP total hits, log10RVP total misses, and log10RVP mean latency between patients with MDD and healthy controls (F = 6.04, p = 0.017; F = 19.77, p < 0.0001; F = 14.42, p < 0.0001, respectively). The serum levels of Log10IL-6 were significantly higher in patients with MDD than in healthy controls (F = 192.27, p < 0.0001). The log10IL-6 levels were also positively correlated with the log10RVP mean latency in patients with MDD (r = 0.45, p = 0.013). A further stepwise multivariate regression analysis indicated that the log10IL-6 levels were significantly associated with the log10RVP mean latency in patients with MDD (β = 0.31, t = 2.41, p = 0.025). CONCLUSIONS Our data suggested that increased IL-6 levels were associated with the psychopathology of MDD, and that abnormal IL-6 levels were implicated in the impairment of sustained attention in patients with MDD.
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Affiliation(s)
- Gang Ye
- Institute of Mental Health,Suzhou Psychiatric Hospital,The Affiliated Guangji Hospital of Soochow University,Suzhou, Jiangsu,PR China
| | - Guang Zhong Yin
- Institute of Mental Health,Suzhou Psychiatric Hospital,The Affiliated Guangji Hospital of Soochow University,Suzhou, Jiangsu,PR China
| | - Zhen Tang
- Institute of Mental Health,Suzhou Psychiatric Hospital,The Affiliated Guangji Hospital of Soochow University,Suzhou, Jiangsu,PR China
| | - Jia Lin Fu
- Institute of Mental Health,Suzhou Psychiatric Hospital,The Affiliated Guangji Hospital of Soochow University,Suzhou, Jiangsu,PR China
| | - Jie Chen
- Institute of Mental Health,Suzhou Psychiatric Hospital,The Affiliated Guangji Hospital of Soochow University,Suzhou, Jiangsu,PR China
| | - Shan Shan Chen
- School of Mental Health,Wenzhou Medical University,Wenzhou,Zhejiang,PR China
| | - Jia Li
- Institute of Mental Health,Suzhou Psychiatric Hospital,The Affiliated Guangji Hospital of Soochow University,Suzhou, Jiangsu,PR China
| | - Tian Fu
- Institute of Mental Health,Suzhou Psychiatric Hospital,The Affiliated Guangji Hospital of Soochow University,Suzhou, Jiangsu,PR China
| | - Xin Yu
- School of Mental Health,Wenzhou Medical University,Wenzhou,Zhejiang,PR China
| | - Dong Wu Xu
- School of Mental Health,Wenzhou Medical University,Wenzhou,Zhejiang,PR China
| | - Jeffrey K Yao
- Medical Research Service,VA Pittsburgh Healthcare System,Pittsburgh,PA,USA
| | - Li Hui
- Institute of Mental Health,Suzhou Psychiatric Hospital,The Affiliated Guangji Hospital of Soochow University,Suzhou, Jiangsu,PR China
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Zhang J, Yang J, Han D, Zhao X, Ma J, Ban B, Zhu X, Yang Y, Cao D, Qiu X. Dvl3 polymorphism interacts with life events and pro-inflammatory cytokines to influence major depressive disorder susceptibility. Sci Rep 2018; 8:14181. [PMID: 30242173 PMCID: PMC6155061 DOI: 10.1038/s41598-018-31530-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2017] [Accepted: 07/18/2018] [Indexed: 12/16/2022] Open
Abstract
The purpose of this study is to explore Dvl3 variants and their interaction with negative life events on MDD susceptibility in a Chinese Han population. Additionally, we also attempted to identify whether there is an association between Dvl3 variants and pro-inflammatory cytokines. A total of 1102 participants, consisting of 550 patients with MDD and 552 healthy subjects, were recruited for genotyping by TaqMan allelic discrimination assay. Pro-inflammatory cytokine mRNA levels in peripheral blood were measured by QPCR. After the assessment of negative life events by the Life Events Scale, the Dvl3 gene–environment interaction (G × E) and risk factors were evaluated using generalized multifactor dimensionality reduction method (GMDR) and logistic regression analysis, respectively. This study is the first to reveal the interaction between Dvl3 allelic variations and negative life events as well as pro-inflammatory cytokines on MDD susceptibility in a Chinese Han population.
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Affiliation(s)
- Jian Zhang
- Psychology Department of the Public Health Institute of Harbin Medical University, Heilongjiang Province, Harbin, China
| | - Jiarun Yang
- Psychology Department of the Public Health Institute of Harbin Medical University, Heilongjiang Province, Harbin, China
| | - Dong Han
- Psychology Department of the Public Health Institute of Harbin Medical University, Heilongjiang Province, Harbin, China
| | - Xueyan Zhao
- Psychology Department of the Public Health Institute of Harbin Medical University, Heilongjiang Province, Harbin, China
| | - Jingsong Ma
- Psychology Department of the Public Health Institute of Harbin Medical University, Heilongjiang Province, Harbin, China
| | - Bo Ban
- Affiliated Hosptial of Jining Medical University, Shandong Province, Jining, China
| | - Xiongzhao Zhu
- Medical Psychological Institute of the Second Xiangya Hospital of Central South University, Hunan Province, Changsha, China
| | - Yanjie Yang
- Psychology Department of the Public Health Institute of Harbin Medical University, Heilongjiang Province, Harbin, China.
| | - Depin Cao
- Harbin Medical University, Heilongjiang Province, Harbin, China.
| | - Xiaohui Qiu
- Psychology Department of the Public Health Institute of Harbin Medical University, Heilongjiang Province, Harbin, China.
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12
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Le TT, Savitz J, Suzuki H, Misaki M, Teague TK, White BC, Marino JH, Wiley G, Gaffney PM, Drevets WC, McKinney BA, Bodurka J. Identification and replication of RNA-Seq gene network modules associated with depression severity. Transl Psychiatry 2018; 8:180. [PMID: 30185774 PMCID: PMC6125582 DOI: 10.1038/s41398-018-0234-3] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2017] [Revised: 06/21/2018] [Accepted: 07/14/2018] [Indexed: 01/08/2023] Open
Abstract
Genomic variation underlying major depressive disorder (MDD) likely involves the interaction and regulation of multiple genes in a network. Data-driven co-expression network module inference has the potential to account for variation within regulatory networks, reduce the dimensionality of RNA-Seq data, and detect significant gene-expression modules associated with depression severity. We performed an RNA-Seq gene co-expression network analysis of mRNA data obtained from the peripheral blood mononuclear cells of unmedicated MDD (n = 78) and healthy control (n = 79) subjects. Across the combined MDD and HC groups, we assigned genes into modules using hierarchical clustering with a dynamic tree cut method and projected the expression data onto a lower-dimensional module space by computing the single-sample gene set enrichment score of each module. We tested the single-sample scores of each module for association with levels of depression severity measured by the Montgomery-Åsberg Depression Scale (MADRS). Independent of MDD status, we identified 23 gene modules from the co-expression network. Two modules were significantly associated with the MADRS score after multiple comparison adjustment (adjusted p = 0.009, 0.028 at 0.05 FDR threshold), and one of these modules replicated in a previous RNA-Seq study of MDD (p = 0.03). The two MADRS-associated modules contain genes previously implicated in mood disorders and show enrichment of apoptosis and B cell receptor signaling. The genes in these modules show a correlation between network centrality and univariate association with depression, suggesting that intramodular hub genes are more likely to be related to MDD compared to other genes in a module.
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Affiliation(s)
- Trang T Le
- Department of Mathematics, The University of Tulsa, Tulsa, OK, USA
- Laureate Institute for Brain Research, Tulsa, OK, USA
| | - Jonathan Savitz
- Laureate Institute for Brain Research, Tulsa, OK, USA
- School of Community Medicine, University of Tulsa, Tulsa, OK, USA
| | - Hideo Suzuki
- Laureate Institute for Brain Research, Tulsa, OK, USA
- Department of Educational Psychology, University of Nebraska-Lincoln, Lincoln, NE, USA
| | - Masaya Misaki
- Laureate Institute for Brain Research, Tulsa, OK, USA
| | - T Kent Teague
- Departments of Surgery and Psychiatry, University of Oklahoma School of Community Medicine, Tulsa, OK, USA
- Department of Pharmaceutical Sciences, University of Oklahoma College of Pharmacy, Tulsa, OK, USA
- Department of Biochemistry and Microbiology, Oklahoma State University Center for the Health Sciences, Tulsa, OK, USA
| | - Bill C White
- Tandy School of Computer Sciences, The University of Tulsa, Tulsa, OK, USA
| | - Julie H Marino
- Department of Surgery, Integrative Immunology Center, University of Oklahoma School of Community Medicine, Tulsa, OK, USA
| | - Graham Wiley
- Arthritis and Clinical Immunology Research Program, Division of Genomics and Data Sciences, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Patrick M Gaffney
- Arthritis and Clinical Immunology Research Program, Division of Genomics and Data Sciences, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Wayne C Drevets
- Janssen Research & Development, LLC, Johnson & Johnson, Inc, Titusville, NJ, USA
| | - Brett A McKinney
- Department of Mathematics, The University of Tulsa, Tulsa, OK, USA.
- Tandy School of Computer Sciences, The University of Tulsa, Tulsa, OK, USA.
| | - Jerzy Bodurka
- Laureate Institute for Brain Research, Tulsa, OK, USA.
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, USA.
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13
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Differentially expressed genes related to major depressive disorder and antidepressant response: genome-wide gene expression analysis. Exp Mol Med 2018; 50:1-11. [PMID: 30076325 PMCID: PMC6076250 DOI: 10.1038/s12276-018-0123-0] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2018] [Revised: 03/25/2018] [Accepted: 04/17/2018] [Indexed: 12/15/2022] Open
Abstract
Treatment response to antidepressants is limited and varies among patients with major depressive disorder (MDD). To discover genes and mechanisms related to the pathophysiology of MDD and antidepressant treatment response, we performed gene expression analyses using peripheral blood specimens from 38 MDD patients and 14 healthy individuals at baseline and at 6 weeks after the initiation of either selective serotonin reuptake inhibitor (SSRI) or mirtazapine treatment. The results were compared with results from public microarray data. Seven differentially expressed genes (DEGs) between MDD patients and controls were identified in our study and in the public microarray data: CD58, CXCL8, EGF, TARP, TNFSF4, ZNF583, and ZNF587. CXCL8 was among the top 10 downregulated genes in both studies. Eight genes related to SSRI responsiveness, including BTNL8, showed alterations in gene expression in MDD. The expression of the FCRL6 gene differed between SSRI responders and nonresponders and changed after SSRI treatment compared to baseline. In evaluating the response to mirtazapine, 21 DEGs were identified when comparing MDD patients and controls and responders and nonresponders. These findings suggest that the pathophysiology of MDD and treatment response to antidepressants are associated with a number of processes, including DNA damage and apoptosis, that can be induced by immune activation and inflammation. Differences in the expression of several genes before and after different antidepressant treatments were found in patients with major depressive disorder (MDD), and may help identify patients most likely to benefit from specific drugs. Researchers in South Korea led by Doh Kwan Kim and Soo-Youn Lee at Samsung Medical Center, Seoul, examined gene expression across the 28,869 genes in 38 patients with MDD and 14 healthy individuals. They also validated their findings using existing databases of gene expression in patients with MDD and healthy controls. The research suggests that genes involved in the immune response and inflammation are significantly alternated in MDD and are predictable in which patients respond well to antidepressants. These findings may help develop new approaches to antidepressant therapies, and assist tailoring of treatment to the specific needs of different patients.
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14
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Replicable and Coupled Changes in Innate and Adaptive Immune Gene Expression in Two Case-Control Studies of Blood Microarrays in Major Depressive Disorder. Biol Psychiatry 2018; 83:70-80. [PMID: 28688579 PMCID: PMC5720346 DOI: 10.1016/j.biopsych.2017.01.021] [Citation(s) in RCA: 140] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2016] [Revised: 01/08/2017] [Accepted: 01/12/2017] [Indexed: 12/22/2022]
Abstract
BACKGROUND Peripheral inflammation is often associated with major depressive disorder (MDD), and immunological biomarkers of depression remain a focus of investigation. METHODS We used microarray data on whole blood from two independent case-control studies of MDD: the GlaxoSmithKline-High-Throughput Disease-specific target Identification Program [GSK-HiTDiP] study (113 patients and 57 healthy control subjects) and the Janssen-Brain Resource Company study (94 patients and 100 control subjects). Genome-wide differential gene expression analysis (18,863 probes) resulted in a p value for each gene in each study. A Bayesian method identified the largest p-value threshold (q = .025) associated with twice the number of genes differentially expressed in both studies compared with the number of coincidental case-control differences expected by chance. RESULTS A total of 165 genes were differentially expressed in both studies with concordant direction of fold change. The 90 genes overexpressed (or UP genes) in MDD were significantly enriched for immune response to infection, were concentrated in a module of the gene coexpression network associated with innate immunity, and included clusters of genes with correlated expression in monocytes, monocyte-derived dendritic cells, and neutrophils. In contrast, the 75 genes underexpressed (or DOWN genes) in MDD were associated with the adaptive immune response and included clusters of genes with correlated expression in T cells, natural killer cells, and erythroblasts. Consistently, the MDD patients with overexpression of UP genes also had underexpression of DOWN genes (correlation > .70 in both studies). CONCLUSIONS MDD was replicably associated with proinflammatory activation of the peripheral innate immune system, coupled with relative inactivation of the adaptive immune system, indicating the potential of transcriptional biomarkers for immunological stratification of patients with depression.
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15
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Lopez JP, Fiori LM, Cruceanu C, Lin R, Labonte B, Cates HM, Heller EA, Vialou V, Ku SM, Gerald C, Han MH, Foster J, Frey BN, Soares CN, Müller DJ, Farzan F, Leri F, MacQueen GM, Feilotter H, Tyryshkin K, Evans KR, Giacobbe P, Blier P, Lam RW, Milev R, Parikh SV, Rotzinger S, Strother SC, Lewis CM, Aitchison KJ, Wittenberg GM, Mechawar N, Nestler EJ, Uher R, Kennedy SH, Turecki G. MicroRNAs 146a/b-5 and 425-3p and 24-3p are markers of antidepressant response and regulate MAPK/Wnt-system genes. Nat Commun 2017; 8:15497. [PMID: 28530238 PMCID: PMC5477510 DOI: 10.1038/ncomms15497] [Citation(s) in RCA: 123] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2016] [Accepted: 03/30/2017] [Indexed: 02/08/2023] Open
Abstract
Antidepressants (ADs) are the most common treatment for major depressive disorder (MDD). However, only ∼30% of patients experience adequate response after a single AD trial, and this variability remains poorly understood. Here, we investigated microRNAs (miRNAs) as biomarkers of AD response using small RNA-sequencing in paired samples from MDD patients enrolled in a large, randomized placebo-controlled trial of duloxetine collected before and 8 weeks after treatment. Our results revealed differential expression of miR-146a-5p, miR-146b-5p, miR-425-3p and miR-24-3p according to treatment response. These results were replicated in two independent clinical trials of MDD, a well-characterized animal model of depression, and post-mortem human brains. Furthermore, using a combination of bioinformatics, mRNA studies and functional in vitro experiments, we showed significant dysregulation of genes involved in MAPK/Wnt signalling pathways. Together, our results indicate that these miRNAs are consistent markers of treatment response and regulators of the MAPK/Wnt systems. Antidepressant drugs are the most common treatment for depressive episodes but only a fraction of patients experience adequate response. Here the authors find dysregulation of miRNAs in peripheral blood samples from depressed patients after antidepressant treatment, and show that the miRNAs are regulators of psychiatrically relevant signalling pathways.
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Affiliation(s)
- Juan Pablo Lopez
- Department of Psychiatry, McGill Group for Suicide Studies, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada H4H 1R3
| | - Laura M Fiori
- Department of Psychiatry, McGill Group for Suicide Studies, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada H4H 1R3
| | - Cristiana Cruceanu
- Department of Psychiatry, McGill Group for Suicide Studies, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada H4H 1R3
| | - Rixing Lin
- Department of Psychiatry, McGill Group for Suicide Studies, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada H4H 1R3
| | - Benoit Labonte
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
| | - Hannah M Cates
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
| | - Elizabeth A Heller
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
| | - Vincent Vialou
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
| | - Stacy M Ku
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
| | - Christophe Gerald
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
| | - Ming-Hu Han
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
| | - Jane Foster
- Department of Psychiatry, University Health Network, University of Toronto, Toronto, Ontario, Canada M5T 2S8
| | - Benicio N Frey
- McMaster University and St Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada L8S 4L8
| | - Claudio N Soares
- St Michael's Hospital, Toronto, Ontario, Canada M5B 1M4.,Department of Psychiatry, Queen's University, Kingston, Ontario, Canada K7L 3N6
| | - Daniel J Müller
- Department of Psychiatry, University Health Network, University of Toronto, Toronto, Ontario, Canada M5T 2S8.,Centre for Addiction and Mental Health, Toronto, Ontario, Canada M6J 1A8
| | - Faranak Farzan
- Department of Psychiatry, University Health Network, University of Toronto, Toronto, Ontario, Canada M5T 2S8.,Centre for Addiction and Mental Health, Toronto, Ontario, Canada M6J 1A8.,School of Mechatronic Systems Engineering, Surrey, British Columbia, Canada V3T 0A3
| | | | - Glenda M MacQueen
- University of Calgary Hotchkiss Brain Institute, Calgary, Alberta, Canada T2N 1N4
| | - Harriet Feilotter
- Department of Pathology and Molecular Medicine, Queen's University, Kingston, Ontario, Canada K7L 3N6
| | - Kathrin Tyryshkin
- Department of Pathology and Molecular Medicine, Queen's University, Kingston, Ontario, Canada K7L 3N6
| | - Kenneth R Evans
- Department of Pathology and Molecular Medicine, Queen's University, Kingston, Ontario, Canada K7L 3N6.,Indoc Research, Toronto, Ontario, Canada M5A 1N1
| | - Peter Giacobbe
- Department of Psychiatry, University Health Network, University of Toronto, Toronto, Ontario, Canada M5T 2S8
| | - Pierre Blier
- University of Ottawa Institute of Mental Health Research, Ottawa, Ontario, Canada K1Z 7K4
| | - Raymond W Lam
- University of British Columbia and Vancouver Coastal Health Authority, Vancouver, British Columbia, Canada V6T 2A1
| | - Roumen Milev
- Queen's University, Providence Care, Mental Health Services, Kingston, Ontario, Canada K7L 4X3
| | | | - Susan Rotzinger
- Department of Psychiatry, University Health Network, University of Toronto, Toronto, Ontario, Canada M5T 2S8
| | - Steven C Strother
- Rotman Research Institute at Baycrest Centre, Toronto, Ontario, Canada M6A 2E1
| | - Cathryn M Lewis
- MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology &Neuroscience, King's College London, London SE5 8AF, UK
| | - Katherine J Aitchison
- Departments of Psychiatry and Medical Genetics, University of Alberta, Edmonton, Alberta, Canada T6G 2B7.,Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada B3H 2E2
| | | | - Naguib Mechawar
- Department of Psychiatry, McGill Group for Suicide Studies, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada H4H 1R3
| | - Eric J Nestler
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
| | - Rudolf Uher
- MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology &Neuroscience, King's College London, London SE5 8AF, UK.,Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada B3H 2E2
| | - Sidney H Kennedy
- Department of Psychiatry, University Health Network, University of Toronto, Toronto, Ontario, Canada M5T 2S8
| | - Gustavo Turecki
- Department of Psychiatry, McGill Group for Suicide Studies, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada H4H 1R3
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16
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Ciobanu LG, Sachdev PS, Trollor JN, Reppermund S, Thalamuthu A, Mather KA, Cohen-Woods S, Baune BT. Differential gene expression in brain and peripheral tissues in depression across the life span: A review of replicated findings. Neurosci Biobehav Rev 2016; 71:281-293. [DOI: 10.1016/j.neubiorev.2016.08.018] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2016] [Revised: 07/25/2016] [Accepted: 08/16/2016] [Indexed: 01/24/2023]
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17
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Zhang C, Wu Z, Zhao G, Wang F, Fang Y. Identification of IL6 as a susceptibility gene for major depressive disorder. Sci Rep 2016; 6:31264. [PMID: 27502736 PMCID: PMC4977523 DOI: 10.1038/srep31264] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2016] [Accepted: 07/14/2016] [Indexed: 02/06/2023] Open
Abstract
Our previous work implied that interleukin 6 (IL6) may be a biological marker for major depressive disorder (MDD). In this study, we performed a comprehensive genetic study to determine the association between the gene encoding IL6 (IL6) and MDD in Han Chinese. There were 50 drug-naïve MDD patients and 50 healthy controls undergoing an mRNA expression study. A sample of 772 patients with MDD and 759 healthy controls were used for genetic analysis. Next, we performed an eQTL analysis to identify whether risk SNP(s) is associated with IL6 expression in brain. Our results showed that patients with MDD have higher levels of IL6 than healthy controls (P = 0.008). The SNP rs1800797 has a significant association with MDD (P = 0.01) in a dominant model. The eQTL analysis showed a marginally significant association between the rs1800797 and IL6 expression in the frontal cortex (P = 0.087). Our preliminary findings are suggestive of an association between rs1800797 and the risk of MDD. Further investigations are required to evaluate this association in larger samples to increase statistical power, and to examine the correlation between rs1800797 and IL6 methylation patterns.
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Affiliation(s)
- Chen Zhang
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhiguo Wu
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guoqing Zhao
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fan Wang
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yiru Fang
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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18
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Abstract
Major depressive disorder (MDD: unipolar depression) is widely distributed in the USA and world-wide populations and it is one of the leading causes of disability in both adolescents and adults. Traditional diagnostic approaches for MDD are based on patient interviews, which provide a subjective assessment of clinical symptoms which are frequently shared with other maladies. Reliance upon clinical assessments and patient interviews for diagnosing MDD is frequently associated with misdiagnosis and suboptimal treatment outcomes. As such, there is increasing interest in the identification of objective methods for the diagnosis of depression. Newer technologies from genomics, transcriptomics, proteomics, metabolomics and imaging are technically sophisticated and objective but their application to diagnostic tests in psychiatry is still emerging. This brief overview evaluates the technical basis for these technologies and discusses how the extension of their clinical performance can lead to an objective diagnosis of MDD.
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Affiliation(s)
- John A Bilello
- Ridge Diagnostics Laboratories, Research & Development, Research Triangle Park, NC, USA
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19
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Serum proteomic profiles of depressive subtypes. Transl Psychiatry 2016; 6:e851. [PMID: 27404283 PMCID: PMC5545705 DOI: 10.1038/tp.2016.115] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2015] [Revised: 03/21/2016] [Accepted: 03/29/2016] [Indexed: 01/10/2023] Open
Abstract
Depression is a highly heterogeneous disorder. Accumulating evidence suggests biological and genetic differences between subtypes of depression that are homogeneous in symptom presentation. We aimed to evaluate differences in serum protein profiles between persons with atypical and melancholic depressive subtypes, and compare these profiles with serum protein levels of healthy controls. We used the baseline data from the Netherlands Study of Depression and Anxiety on 414 controls, 231 persons with a melancholic depressive subtype and 128 persons with an atypical depressive subtype for whom the proteomic data were available. Depressive subtypes were previously established using a data-driven analysis, and 171 serum proteins were measured on a multi-analyte profiling platform. Linear regression models were adjusted for several covariates and corrected for multiple testing using false discovery rate q-values. We observed differences in analytes between the atypical and melancholic subtypes (9 analytes, q<0.05) and between atypical depression and controls (23 analytes, q<0.05). Eight of the nine markers differing between the atypical and melancholic subtype overlapped with markers from the comparison between atypical subtype and controls (mesothelin, leptin, IGFBP1, IGFBP2, FABPa, insulin, C3 and B2M), and were mainly involved in cellular communication and signal transduction, and immune response. No markers differed significantly between the melancholic subtype and controls. To conclude, although some uncertainties exist in our results as a result of missing data imputation and lack of proteomic replication samples, many of the identified analytes are inflammatory or metabolic markers, which supports the notion of atypical depression as a syndrome characterized by metabolic disturbances and inflammation, and underline the importance and relevance of subtypes of depression in biological and genetic research, and potentially in the treatment of depression.
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20
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Bhattacharya A, Derecki NC, Lovenberg TW, Drevets WC. Role of neuro-immunological factors in the pathophysiology of mood disorders. Psychopharmacology (Berl) 2016; 233:1623-36. [PMID: 26803500 DOI: 10.1007/s00213-016-4214-0] [Citation(s) in RCA: 104] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2015] [Accepted: 01/12/2016] [Indexed: 12/13/2022]
Abstract
Mood disorders, despite the widespread availability of monoamine-based antidepressant treatments, are associated with persistently high rates of disability, together with elevated rates of mortality due to suicide, cardiovascular disease, and other causes. The development of more effective treatments has been hindered by the lack of knowledge about the etiology and pathogenesis of mood disorders. An emerging area of science that promises novel pathways to antidepressant and mood stabilizing therapies surrounds evidence that immune cells and their signaling play a major role in the pathophysiology of major depressive disorder (MDD) and bipolar disorder (BD). Here, we review evidence that the release of neuroactive cytokines, particularly interleukins such as IL-1β, IL-6, and TNF-α, is altered in these disorders and discuss mechanisms such as the ATP-gated ion channel P2X7, through which cytokine signaling can influence neuro-glial interactions. Brain P2X7, an emerging target and antagonism of P2X7 holds promise as a novel mechanism for targeting treatment-resistant depression. We further discuss the role of microglia and astroglia in central neuroinflammation and their interaction with the peripheral immune system We present extant clinical evidence that bolsters the role of neuroinflammation and neuroactive cytokines in mood disorders. To that end, the role of clinical imaging by probing neuroinflammatory markers is also discussed briefly. Finally, we present data using preclinical neuroinflammation models that produce depression-like behaviors in experimental animals to identify neuroinflammatory mechanisms which may aid in novel neuroimmune target identification for the development of exciting pharmacological interventions in mood disorders.
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Affiliation(s)
| | - Noel C Derecki
- Neuroscience, Janssen Research and Development, LLC, San Diego, CA, 92121, USA
| | - Timothy W Lovenberg
- Neuroscience, Janssen Research and Development, LLC, San Diego, CA, 92121, USA
| | - Wayne C Drevets
- Neuroscience, Janssen Research and Development, LLC, Titusville, NJ, 08560, USA
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21
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Fan J, Fan X, Li Y, Guo J, Xia D, Ding L, Zheng Q, Wang W, Xue F, Chen R, Liu S, Hu L, Gong Y. Blunted inflammation mediated by NF-κB activation in hippocampus alleviates chronic normobaric hypoxia-induced anxiety-like behavior in rats. Brain Res Bull 2016; 122:54-61. [DOI: 10.1016/j.brainresbull.2016.03.001] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2016] [Revised: 02/25/2016] [Accepted: 03/09/2016] [Indexed: 01/09/2023]
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22
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Hori H, Sasayama D, Teraishi T, Yamamoto N, Nakamura S, Ota M, Hattori K, Kim Y, Higuchi T, Kunugi H. Blood-based gene expression signatures of medication-free outpatients with major depressive disorder: integrative genome-wide and candidate gene analyses. Sci Rep 2016; 6:18776. [PMID: 26728011 PMCID: PMC4700430 DOI: 10.1038/srep18776] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2015] [Accepted: 11/26/2015] [Indexed: 02/08/2023] Open
Abstract
Several microarray-based studies have investigated gene expression profiles in major depressive disorder (MDD), yet with highly variable findings. We examined blood-based genome-wide expression signatures of MDD, focusing on molecular pathways and networks underlying differentially expressed genes (DEGs) and behaviours of hypothesis-driven, evidence-based candidate genes for depression. Agilent human whole-genome arrays were used to measure gene expression in 14 medication-free outpatients with MDD who were at least moderately ill and 14 healthy controls matched pairwise for age and sex. After filtering, we compared expression of entire probes between patients and controls and identified DEGs. The DEGs were evaluated by pathway and network analyses. For the candidate gene analysis, we utilized 169 previously prioritized genes and examined their case-control separation efficiency and correlational co-expression network in patients relative to controls. The 317 screened DEGs mapped to a significantly over-represented pathway, the "synaptic transmission" pathway. The protein-protein interaction network was also significantly enriched, in which a number of key molecules for depression were included. The co-expression network of candidate genes was markedly disrupted in patients. This study provided evidence for an altered molecular network along with several key molecules in MDD and confirmed that the candidate genes are worthwhile targets for depression research.
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Affiliation(s)
- Hiroaki Hori
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo, 187-8502, Japan
- Department of Adult Mental Health, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, 187-8553, Japan
| | - Daimei Sasayama
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo, 187-8502, Japan
| | - Toshiya Teraishi
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo, 187-8502, Japan
| | - Noriko Yamamoto
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo, 187-8502, Japan
| | | | - Miho Ota
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo, 187-8502, Japan
| | - Kotaro Hattori
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo, 187-8502, Japan
| | - Yoshiharu Kim
- Department of Adult Mental Health, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, 187-8553, Japan
| | - Teruhiko Higuchi
- National Center of Neurology and Psychiatry, Tokyo, 187-8502, Japan
| | - Hiroshi Kunugi
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo, 187-8502, Japan
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