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Das SC, Schulmann A, Callor WB, Jerominski L, Panicker MM, Christensen ED, Bunney WE, Williams ME, Coon H, Vawter MP. Altered transcriptomes, cell type proportions, and dendritic spine morphology in hippocampus of suicide decedents. J Affect Disord 2024; 367:118-128. [PMID: 39191313 DOI: 10.1016/j.jad.2024.08.144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 08/03/2024] [Accepted: 08/23/2024] [Indexed: 08/29/2024]
Abstract
BACKGROUND Suicide is a manner of death resulting from complex environmental and genetic risks that affect millions of people globally. Both structural and functional studies identified the hippocampus as one of the vulnerable brain regions contributing to suicide risk. METHODS We have identified the hippocampal tissue transcriptomes, gene ontology, cell type proportions, and dendritic spine morphology in controls (n = 28) and suicide decedents (n = 22). In addition, the transcriptomic signature in iPSC-derived neuronal precursor cells (NPCs) and neurons were also investigated in controls (n = 2) and suicide decedents (n = 2). RESULTS The hippocampal tissue transcriptomic data revealed that NPAS4 gene expression was downregulated while ALDH1A2, NAAA, and MLXIPL gene expressions were upregulated in hippocampal tissue of suicide decedents. The gene ontology identified 29 significant pathways including NPAS4-associated gene ontology terms "excitatory post-synaptic potential", "regulation of postsynaptic membrane potential" and "long-term memory" indicating alteration of glutamatergic synapses in the hippocampus of suicide decedents. The cell type deconvolution identified decreased excitatory neuron proportion and an increased inhibitory neuron proportion providing evidence of excitation/inhibition imbalance in the hippocampus of suicide decedents. In addition, suicide decedents had increased dendric spine density in the hippocampus, due to an increase of thin (relatively unstable) dendritic spines, compared to controls. The transcriptomes of iPSC-derived hippocampal-like NPCs and neurons revealed 31 and 33 differentially expressed genes in NPC and neurons, respectively, of suicide decedents. CONCLUSIONS Our findings will provide new insights into the hippocampal neuropathology of suicide.
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Affiliation(s)
- Sujan C Das
- Functional Genomics Laboratory, Department of Psychiatry & Human Behavior, University of California, Irvine, CA, USA
| | | | - William B Callor
- Office of Medical Examiner, Utah Department of Health and Human Services, Salt Lake City, UT, USA
| | - Leslie Jerominski
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Mitradas M Panicker
- Department of Physiology and Biophysics, School of Medicine, University of California, Irvine, USA
| | - Erik D Christensen
- Office of Medical Examiner, Utah Department of Health and Human Services, Salt Lake City, UT, USA
| | - William E Bunney
- Department of Psychiatry & Human Behavior, University of California, Irvine, CA, USA
| | - Megan E Williams
- Department of Neurobiology and Anatomy, University of Utah School of Medicine, UT, USA
| | - Hilary Coon
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Marquis P Vawter
- Functional Genomics Laboratory, Department of Psychiatry & Human Behavior, University of California, Irvine, CA, USA.
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Chu Y, Pang B, Yang M, Wang S, Meng Q, Gong H, Kong Y, Leng Y. Exploring the possible therapeutic mechanism of Danzhixiaoyao pills in depression and MAFLD based on "Homotherapy for heteropathy": A network pharmacology and molecular docking. Heliyon 2024; 10:e35309. [PMID: 39170292 PMCID: PMC11336640 DOI: 10.1016/j.heliyon.2024.e35309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Revised: 07/25/2024] [Accepted: 07/25/2024] [Indexed: 08/23/2024] Open
Abstract
Objective Danzhixiaoyao pills (DXP) is a traditional Chinese medicine formula that has been effectively used in clinical practice to treat depression and metabolic associated fatty liver disease (MAFLD), but its therapeutic mechanism is not yet clear. The purpose of this study is to explore the possible mechanisms of DXP in treating depression and MAFLD using network pharmacology and molecular docking techniques based on existing literature reports. Methods By combining TCMSP, Swiss ADME, Swiss TargetPrediction, and UniProt databases, the active ingredients and potential targets of DXP were screened and obtained. By searching for relevant disease targets through Gene Cards, OMIM, and TTD databases, intersection targets between drugs and diseases were obtained. The network of "Disease - Potential targets - Active ingredients - Traditional Chinese medicine - Prescriptions" was constructed using Cytoscape 3.9.1 software, and the PPI network was constructed using STRING 12.0 database. The core targets were obtained through topology analysis. GO function enrichment and KEGG pathway enrichment analysis were conducted based on DAVID. The above results were validated by molecular docking using PyMol 2.5 and AutoDock Tool 1.5.7 software, and their possible therapeutic mechanisms were discussed. Results Network pharmacology analysis obtained 130 main active ingredients of drugs, 173 intersection targets between drugs and diseases, and 37 core targets. Enrichment analysis obtained 1390 GO functional enrichment results, of which 922 were related to biological process, 107 were related to cellular component, 174 were related to molecular function, and obtained 180 KEGG pathways. Molecular docking has confirmed the good binding ability between relevant components and targets, and the literature discussion has preliminarily verified the above results. Conclusion DXP can act on targets such as TNF, AKT1, ALB, IL1B, TP53 through active ingredients such as kaempferol, quercetin, naringenin, isorhamnetin, glyuranolide, etc, and by regulating signaling pathways such as pathways in cancer, MAPK signaling pathway, lipid and atherosclerosis, to exert its effect of "homotherapy for heteropathy" on depression and MAFLD. In addition, glyuranolide showed the strongest affinity with TNF (-7.88 kcal/mol), suggesting that it may play a key role in the treatment process. The research results provide a theoretical basis for elucidating the scientific connotation and mechanism of action of traditional Chinese medicine compound DXP, and provide new directions for its clinical application.
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Affiliation(s)
- YunHang Chu
- College of Traditional Chinese Medicine, Changchun University of Traditional Chinese Medicine, Changchun, China
| | - BingYao Pang
- Department of Hepatology, The Affiliated Hospital of Changchun University of Traditional Chinese Medicine, Changchun, China
| | - Ming Yang
- Department of Hepatology, The Affiliated Hospital of Changchun University of Traditional Chinese Medicine, Changchun, China
| | - Song Wang
- Department of Hepatology, The Affiliated Hospital of Changchun University of Traditional Chinese Medicine, Changchun, China
| | - Qi Meng
- College of Traditional Chinese Medicine, Changchun University of Traditional Chinese Medicine, Changchun, China
| | - HongChi Gong
- College of Traditional Chinese Medicine, Changchun University of Traditional Chinese Medicine, Changchun, China
| | - YuDong Kong
- College of Traditional Chinese Medicine, Changchun University of Traditional Chinese Medicine, Changchun, China
| | - Yan Leng
- Department of Hepatology, The Affiliated Hospital of Changchun University of Traditional Chinese Medicine, Changchun, China
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3
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Liu X, Dong L, Jiang Z, Song M, Yan P. Identifying the differentially expressed peripheral blood microRNAs in psychiatric disorders: a systematic review and meta-analysis. Front Psychiatry 2024; 15:1390366. [PMID: 38827444 PMCID: PMC11140110 DOI: 10.3389/fpsyt.2024.1390366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Accepted: 04/25/2024] [Indexed: 06/04/2024] Open
Abstract
Background Evidence has suggested that microRNAs (miRNAs) may play an important role in the pathogenesis of psychiatric disorders (PDs), but the results remain inconclusive. We aimed to identify specific differentially expressed miRNAs and their overlapping miRNA expression profiles in schizophrenia (SZ), major depression disorder (MDD), and bipolar disorder (BD), the three major PDs. Methods The literatures up to September 30, 2023 related to peripheral blood miRNAs and PDs were searched and screened from multiple databases. The differences in miRNA levels between groups were illustrated by the standardized mean difference (SMD) and 95% confidence interval (95% CI). Results In total, 30 peripheral blood miRNAs were included in the meta-analysis, including 16 for SZ, 12 for MDD, and 2 for BD, each was reported in more than 3 independent studies. Compared with the control group, miR-181b-5p, miR-34a-5p, miR-195-5p, miR-30e-5p, miR-7-5p, miR-132-3p, miR-212-3p, miR-206, miR-92a-3p and miR-137-3p were upregulated in SZ, while miR-134-5p, miR-107 and miR-99b-5p were downregulated. In MDD, miR-124-3p, miR-132-3p, miR-139-5p, miR-182-5p, miR-221-3p, miR-34a-5p and miR-93-5p were upregulated, while miR-144-5p and miR-135a-5p were downregulated. However, we failed to identify statistically differentially expressed miRNAs in BD. Interestingly, miR-132-3p and miR-34a-5p were upregulated in both SZ and MDD. Conclusions Our study identified 13 differentially expressed miRNAs in SZ and 9 in MDD, among which miR-132-3p and miR-34a-5p were upregulated in both SZ and MDD by systematically analyzing qualified studies. These miRNAs may be used as potential biomarkers for the diagnosis of SZ and MDD in the future. Systematic Review Registration http://www.crd.york.ac.uk/PROSPERO, identifier CRD42023486982.
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Affiliation(s)
- Xiaoyan Liu
- Department of Psychiatry, Affiliated Mental Health Center & Hangzhou Seventh People’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Liying Dong
- Internal Medicine of Traditional Chinese Medicine, The 4th Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China
| | - Zhaowei Jiang
- Internal Medicine of Traditional Chinese Medicine, The 4th Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China
| | - Mingfen Song
- Molecular Biology Laboratory, Affiliated Mental Health Center & Hangzhou Seventh People’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Pan Yan
- Molecular Biology Laboratory, Affiliated Mental Health Center & Hangzhou Seventh People’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Li J, Bi H. Clarification of the molecular mechanisms underlying glyphosate-induced major depressive disorder: a network toxicology approach. Ann Gen Psychiatry 2024; 23:8. [PMID: 38297317 PMCID: PMC10829247 DOI: 10.1186/s12991-024-00491-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Accepted: 01/18/2024] [Indexed: 02/02/2024] Open
Abstract
Major depressive disorder (MDD) is predicted to become the second most common cause of disability in the near future. Exposure to glyphosate (Gly)-based herbicides has been linked to the onset of MDD. However, the underlying mechanisms remain unclear. The aim of this study was to investigate the potential molecular mechanisms of MDD induced by Gly using network toxicology approach. The MDD dataset GSE76826 from the Gene Expression Omnibus database was referenced to identify differentially expressed genes (DEGs) in peripheral blood leukocytes of MDD patients and controls. The potential intersection targets of Gly-induced MDD were screened by network toxicology. The intersection targets were used for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis and to construct protein-protein interaction networks. The binding potentials of hub targets with Gly were validated by molecular docking. In total, 1216 DEGs associated with Gly-induced MDD were identified. Subsequent network pharmacology further refined the search to 43 targets. GO and KEGG enrichment analyses revealed multiple signaling pathways involved in GLY-induced MDD. Six potential core targets (CD40, FOXO3, FOS, IL6, TP53, and VEGFA) were identified. Finally, molecular docking demonstrated that Gly exhibited strong binding affinity to the core targets. The results of this study identified potential molecular mechanisms underlying Gly induced MDD and provided new insights for prevention and treatment.
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Affiliation(s)
- Jianan Li
- Department of Occupational and Environmental Health, College of Public Health, Xuzhou Medical University, 209 Tongshan Road, Yun Long District, Xuzhou, 221000, China
| | - Haoran Bi
- Department of Biostatistics, College of Public Health, Xuzhou Medical University, 209 Tongshan Road, Yun Long District, Xuzhou, 221000, China.
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5
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Norkeviciene A, Gocentiene R, Sestokaite A, Sabaliauskaite R, Dabkeviciene D, Jarmalaite S, Bulotiene G. A Systematic Review of Candidate Genes for Major Depression. Medicina (B Aires) 2022; 58:medicina58020285. [PMID: 35208605 PMCID: PMC8875554 DOI: 10.3390/medicina58020285] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 02/07/2022] [Accepted: 02/09/2022] [Indexed: 11/16/2022] Open
Abstract
Background and Objectives: The aim of this systematic review was to analyse which candidate genes were examined in genetic association studies and their association with major depressive disorder (MDD). Materials and Methods: We searched PUBMED for relevant studies published between 1 July 2012 and 31 March 2019, using combinations of keywords: “major depressive disorder” OR “major depression” AND “gene candidate”, “major depressive disorder” OR “major depression” AND “polymorphism”. Synthesis focused on assessing the likelihood of bias and investigating factors that may explain differences between the results of studies. For selected gene list after literature overview, functional enrichment analysis and gene ontology term enrichment analysis were conducted. Results: 141 studies were included in the qualitative review of gene association studies focusing on MDD. 86 studies declared significant results (p < 0.05) for 172 SNPs in 85 genes. The 13 SNPs associations were confirmed by at least two studies. The 18 genetic polymorphism associations were confirmed in both the previous and this systematic analysis by at least one study. The majority of the studies (68.79 %) did not use or describe power analysis, which may have had an impact over the significance of their results. Almost a third of studies (N = 54) were conducted in Chinese Han population. Conclusion: Unfortunately, there is still insufficient data on the links between genes and depression. Despite the reported genetic associations, most studies were lacking in statistical power analysis, research samples were small, and most gene polymorphisms have been confirmed in only one study. Further genetic research with larger research samples is needed to discern whether the relationship is random or causal. Summations: This systematic review had summarized all reported genetic associations and has highlighted the genetic associations that have been replicated. Limitations: Unfortunately, most gene polymorphisms have been confirmed only once, so further studies are warranted for replicating these genetic associations. In addition, most studies included a small number of MDD cases that could be indicative for false positive. Considering that polymorphism loci and associations with MDD is also vastly dependent on interpersonal variation, extensive studies of gene interaction pathways could provide more answers to the complexity of MDD.
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Affiliation(s)
- Audrone Norkeviciene
- Clinic of Psychiatry, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, M. K. Ciurlionio Str. 21/27, LT-03101 Vilnius, Lithuania; (A.N.); (R.G.)
| | - Romena Gocentiene
- Clinic of Psychiatry, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, M. K. Ciurlionio Str. 21/27, LT-03101 Vilnius, Lithuania; (A.N.); (R.G.)
| | - Agne Sestokaite
- National Cancer Institute, Santariskiu Str. 1, LT-08660 Vilnius, Lithuania; (A.S.); (R.S.); (D.D.); (S.J.)
| | - Rasa Sabaliauskaite
- National Cancer Institute, Santariskiu Str. 1, LT-08660 Vilnius, Lithuania; (A.S.); (R.S.); (D.D.); (S.J.)
| | - Daiva Dabkeviciene
- National Cancer Institute, Santariskiu Str. 1, LT-08660 Vilnius, Lithuania; (A.S.); (R.S.); (D.D.); (S.J.)
| | - Sonata Jarmalaite
- National Cancer Institute, Santariskiu Str. 1, LT-08660 Vilnius, Lithuania; (A.S.); (R.S.); (D.D.); (S.J.)
| | - Giedre Bulotiene
- Clinic of Psychiatry, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, M. K. Ciurlionio Str. 21/27, LT-03101 Vilnius, Lithuania; (A.N.); (R.G.)
- National Cancer Institute, Santariskiu Str. 1, LT-08660 Vilnius, Lithuania; (A.S.); (R.S.); (D.D.); (S.J.)
- Correspondence:
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Rasheed M, Asghar R, Firdoos S, Ahmad N, Nazir A, Ullah KM, Li N, Zhuang F, Chen Z, Deng Y. A Systematic Review of Circulatory microRNAs in Major Depressive Disorder: Potential Biomarkers for Disease Prognosis. Int J Mol Sci 2022; 23:1294. [PMID: 35163214 PMCID: PMC8835958 DOI: 10.3390/ijms23031294] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 01/17/2022] [Accepted: 01/20/2022] [Indexed: 02/04/2023] Open
Abstract
Major depressive disorder (MDD) is a neuropsychiatric disorder, which remains challenging to diagnose and manage due to its complex endophenotype. In this aspect, circulatory microRNAs (cimiRNAs) offer great potential as biomarkers and may provide new insights for MDD diagnosis. Therefore, we systemically reviewed the literature to explore various cimiRNAs contributing to MDD diagnosis and underlying molecular pathways. A comprehensive literature survey was conducted, employing four databases from 2012 to January 2021. Out of 1004 records, 157 reports were accessed for eligibility criteria, and 32 reports meeting our inclusion criteria were considered for in-silico analysis. This study identified 99 dysregulated cimiRNAs in MDD patients, out of which 20 cimiRNAs found in multiple reports were selected for in-silico analysis. KEGG pathway analysis indicated activation of ALS, MAPK, p53, and P13K-Akt signaling pathways, while gene ontology analysis demonstrated that most protein targets were associated with transcription. In addition, chromosomal location analysis showed clustering of dysregulated cimiRNAs at proximity 3p22-p21, 9q22.32, and 17q11.2, proposing their coregulation with specific transcription factors primarily involved in MDD physiology. Further analysis of transcription factor sites revealed the existence of HIF-1, REST, and TAL1 in most cimiRNAs. These transcription factors are proposed to target genes linked with MDD, hypothesizing that first-wave cimiRNA dysregulation may trigger the second wave of transcription-wide changes, altering the protein expressions of MDD-affected cells. Overall, this systematic review presented a list of dysregulated cimiRNAs in MDD, notably miR-24-3p, let 7a-5p, miR-26a-5p, miR135a, miR-425-3p, miR-132, miR-124 and miR-16-5p as the most prominent cimiRNAs. However, various constraints did not permit us to make firm conclusions on the clinical significance of these cimiRNAs, suggesting the need for more research on single blood compartment to identify the biomarker potential of consistently dysregulated cimiRNAs in MDD, as well as the therapeutic implications of these in-silico insights.
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Affiliation(s)
- Madiha Rasheed
- Beijing Key Laboratory for Separation and Analysis in Biomedicine and Pharmaceuticals, School of Life Sciences, Beijing Institute of Technology, Beijing 100081, China; (M.R.); (R.A.); (S.F.); (K.M.U.); (N.L.)
| | - Rabia Asghar
- Beijing Key Laboratory for Separation and Analysis in Biomedicine and Pharmaceuticals, School of Life Sciences, Beijing Institute of Technology, Beijing 100081, China; (M.R.); (R.A.); (S.F.); (K.M.U.); (N.L.)
| | - Sundas Firdoos
- Beijing Key Laboratory for Separation and Analysis in Biomedicine and Pharmaceuticals, School of Life Sciences, Beijing Institute of Technology, Beijing 100081, China; (M.R.); (R.A.); (S.F.); (K.M.U.); (N.L.)
| | - Nadeem Ahmad
- Department of Pharmacy, Abbottabad Campus, COMSATS University Islamabad, Abbottabad 22060, Pakistan;
| | - Amina Nazir
- Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan Industry North Road 202, Jinan 250100, China;
| | - Kakar Mohib Ullah
- Beijing Key Laboratory for Separation and Analysis in Biomedicine and Pharmaceuticals, School of Life Sciences, Beijing Institute of Technology, Beijing 100081, China; (M.R.); (R.A.); (S.F.); (K.M.U.); (N.L.)
| | - Noumin Li
- Beijing Key Laboratory for Separation and Analysis in Biomedicine and Pharmaceuticals, School of Life Sciences, Beijing Institute of Technology, Beijing 100081, China; (M.R.); (R.A.); (S.F.); (K.M.U.); (N.L.)
| | - Fengyuan Zhuang
- School of Biology and Medical Engineering, Beihang University, Beijing 100191, China;
| | - Zixuan Chen
- Beijing Key Laboratory for Separation and Analysis in Biomedicine and Pharmaceuticals, School of Life Sciences, Beijing Institute of Technology, Beijing 100081, China; (M.R.); (R.A.); (S.F.); (K.M.U.); (N.L.)
| | - Yulin Deng
- Beijing Key Laboratory for Separation and Analysis in Biomedicine and Pharmaceuticals, School of Life Sciences, Beijing Institute of Technology, Beijing 100081, China; (M.R.); (R.A.); (S.F.); (K.M.U.); (N.L.)
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Identification of molecular signatures and pathways common to blood cells and brain tissue based RNA-Seq datasets of bipolar disorder: Insights from comprehensive bioinformatics approach. INFORMATICS IN MEDICINE UNLOCKED 2022. [DOI: 10.1016/j.imu.2022.100881] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
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Chen Y, Zhou F, Lu W, Zeng W, Wang X, Xie J. Identification of potential Mitogen-Activated Protein Kinase-related key genes and regulation networks in molecular subtypes of major depressive disorder. Front Psychiatry 2022; 13:1004945. [PMID: 36339846 PMCID: PMC9634261 DOI: 10.3389/fpsyt.2022.1004945] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 10/07/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Major depressive disorder (MDD) is a heterogeneous and prevalent mental disorder associated with increased morbidity, disability, and mortality. However, its underlying mechanisms remain unclear. MATERIALS AND METHODS All analyses were conducted based on integrated samples from the GEO database. Differential expression analysis, unsupervised consensus clustering analysis, enrichment analysis, and regulation network analysis were performed. RESULTS Mitogen-activated protein kinase (MAPK) signaling pathway was identified as an associated pathway in the development of MDD. From transcriptional signatures, we classified the MDD patients into two subgroups using unsupervised clustering and revealed 13 differential expression genes between subgroups, which indicates the probably relative complications. We further illustrated potential molecular mechanisms of MDD, including dysregulation in the neurotrophin signaling pathway, peptidyl-serine phosphorylation, and endocrine resistance. Moreover, we identified hub genes, including MAPK8, TP53, and HRAS in the maintenance of MDD. Furthermore, we demonstrated that the axis of miRNAs-TFs-HRAS/TP53/MAPK8 may play a critical role in MDD. CONCLUSION Taken together, we demonstrated an overview of MAPK-related key genes in MDD, determined two molecular subtypes, and identified the key genes and core network that may contribute to the procession of MDD.
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Affiliation(s)
- Youfang Chen
- Department of Thoracic Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation for Cancer Medicine, Guangzhou, Guangdong, China
| | - Feng Zhou
- Department of Neurology, First People's Hospital of Foshan, Foshan, Guangdong, China
| | - Weicheng Lu
- Department of Anesthesiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation for Cancer Medicine, Guangzhou, Guangdong, China
| | - Weian Zeng
- Department of Anesthesiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation for Cancer Medicine, Guangzhou, Guangdong, China
| | - Xudong Wang
- Department of Anesthesiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation for Cancer Medicine, Guangzhou, Guangdong, China
| | - Jingdun Xie
- Department of Anesthesiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation for Cancer Medicine, Guangzhou, Guangdong, China
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9
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Moisan MP, Foury A, Dexpert S, Cole SW, Beau C, Forestier D, Ledaguenel P, Magne E, Capuron L. Transcriptomic signaling pathways involved in a naturalistic model of inflammation-related depression and its remission. Transl Psychiatry 2021; 11:203. [PMID: 33824279 PMCID: PMC8024399 DOI: 10.1038/s41398-021-01323-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 02/19/2021] [Accepted: 03/16/2021] [Indexed: 02/07/2023] Open
Abstract
This study aimed at identifying molecular biomarkers of inflammation-related depression in order to improve diagnosis and treatment. For this, we performed whole-genome expression profiling from peripheral blood in a naturalistic model of inflammation-associated major depressive disorder (MDD) represented by comorbid depression in obese patients. We took advantage of the marked reduction of depressive symptoms and inflammation following bariatric surgery to test the robustness of the identified biomarkers. Depression was assessed during a clinical interview using Mini-International Neuropsychiatric Interview and the 10-item, clinician-administered, Montgomery-Asberg Depression Rating Scale. From a cohort of 100 massively obese patients, we selected 33 of them for transcriptomic analysis. Twenty-four of them were again analyzed 4-12 months after bariatric surgery. We conducted differential gene expression analyses before and after surgery in unmedicated MDD and non-depressed obese subjects. We found that TP53 (Tumor Protein 53), GR (Glucocorticoid Receptor), and NFκB (Nuclear Factor kappa B) pathways were the most discriminating pathways associated with inflammation-related MDD. These signaling pathways were processed in composite z-scores of gene expression that were used as biomarkers in regression analyses. Results showed that these transcriptomic biomarkers highly predicted depressive symptom intensity at baseline and their remission after bariatric surgery. While inflammation was present in all patients, GR signaling over-activation was found only in depressed ones where it may further increase inflammatory and apoptosis pathways. In conclusion, using an original model of inflammation-related depression and its remission without antidepressants, we provide molecular predictors of inflammation-related MDD and new insights in the molecular pathways involved.
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Affiliation(s)
- Marie-Pierre Moisan
- Univ. Bordeaux, INRAE, Bordeaux INP, NutriNeuro, UMR 1286, Bordeaux, France.
| | - Aline Foury
- grid.488493.a0000 0004 0383 684XUniv. Bordeaux, INRAE, Bordeaux INP, NutriNeuro, UMR 1286, Bordeaux, France
| | - Sandra Dexpert
- grid.488493.a0000 0004 0383 684XUniv. Bordeaux, INRAE, Bordeaux INP, NutriNeuro, UMR 1286, Bordeaux, France
| | - Steve W. Cole
- grid.19006.3e0000 0000 9632 6718Division of Hematology-Oncology, Department of Psychiatry & Biobehavioral Sciences and Department of Medicine, UCLA School of Medicine, Los Angeles, CA USA
| | - Cédric Beau
- Service de Chirurgie Digestive et Pariétale, Clinique Tivoli, Bordeaux, and Clinique Jean Villar, Bruges, France
| | - Damien Forestier
- Service de Chirurgie Digestive et Pariétale, Clinique Tivoli, Bordeaux, and Clinique Jean Villar, Bruges, France
| | - Patrick Ledaguenel
- Service de Chirurgie Digestive et Pariétale, Clinique Tivoli, Bordeaux, and Clinique Jean Villar, Bruges, France
| | - Eric Magne
- Service de Chirurgie Digestive et Pariétale, Clinique Tivoli, Bordeaux, and Clinique Jean Villar, Bruges, France
| | - Lucile Capuron
- Univ. Bordeaux, INRAE, Bordeaux INP, NutriNeuro, UMR 1286, Bordeaux, France.
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The Contributive Role of IGFBP-3 and Mitochondria in Synoviocyte-Induced Osteoarthritis through Hypoxia/Reoxygenation Injury: A Pathogenesis-Focused Literature Review. Int J Chronic Dis 2020. [DOI: 10.1155/2020/5143712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
Osteoarthritis (OA), one of the most common joint disorders, is characterized by chronic progressive cartilage degradation, osteophyte formation, and synovial inflammation. OA lesions are not only located in articular cartilage but also in the entire synovial joint. Nevertheless, most of the early studies done mostly focused on the important role of chondrocyte apoptosis and cartilage degeneration in the pathogenesis and progress of OA. The increased expression of hypoxia-inducible factors (HIF-1α and HIF-2α) is known to be the cellular and biochemical signal that mediates the response of chondrocytes to hypoxia. The role of the synovium in OA pathogenesis had been poorly evaluated. Being sensitive to hypoxia/reoxygeneration (H/R) injury, fibroblast-like synoviocytes (FLS) play an essential role in cartilage degradation during the course of this pathology. Insulin-like growth factor binding protein 3 (IGFBP-3) acts as the main carrier of insulin-like growth factor I (IGF-I) in the circulation and remains the most abundant among the six IGFBPs. Synovial fluids of OA patients have markedly increased levels of IGFBP-3. We aim to discuss the interconnected behavior of IGFBP-3 and synoviocytes during the course of osteoarthritis pathogenesis, especially under the influence of hypoxia-inducible factors. In this review, we present information related to the essential role that is played by IGFBP-3 and mitochondria in synoviocyte-induced osteoarthritis through H/R injury. Little research has been done in this area. However, strong evidences show that the level of IGFBP-3 in synovial fluid significantly increased in OA, inhibiting the binding of IGF-1 to IGFR 1 (IGF receptor-1) and therefore the inhibition of cell proliferation. To the best of our knowledge, this is the first paper providing a comprehensive explanatory contribution of IGFBP-3 and mitochondria in synovial cell-induced osteoarthritis through hypoxia/reoxygenation mechanism.
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Gao Y, Xu T, Zhao YX, Ling-Hu T, Liu SB, Tian JS, Qin XM. A Novel Network Pharmacology Strategy to Decode Metabolic Biomarkers and Targets Interactions for Depression. Front Psychiatry 2020; 11:667. [PMID: 32760300 PMCID: PMC7373779 DOI: 10.3389/fpsyt.2020.00667] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Accepted: 06/26/2020] [Indexed: 12/12/2022] Open
Abstract
Depression is one of the most prevalent and serious mental disorders with a worldwide significant health burden. Metabolic abnormalities and disorders in patients with depression have attracted great research attention. Thirty-six metabolic biomarkers of clinical plasma metabolomics were detected by platform technologies, including gas chromatography-mass spectrometry (GC-MS), liquid chromatography-mass spectrometry (LC-MS) and proton nuclear magnetic resonance (1H-NMR), combined with multivariate data analysis techniques in previous work. The principal objective of this study was to provide valuable information for the pathogenesis of depression by comprehensive analysis of 36 metabolic biomarkers in the plasma of depressed patients. The relationship between biomarkers and enzymes were collected from the HMDB database. Then the metabolic biomarkers-enzymes interactions (MEI) network was performed and analyzed to identify hub metabolic biomarkers and enzymes. In addition, the docking score-weighted multiple pharmacology index (DSWMP) was used to assess the important pathways of hub metabolic biomarkers involved. Finally, validated these pathways by published literature. The results show that stearic acid, phytosphingosine, glycine, glutamine and phospholipids were important metabolic biomarkers. Hydrolase, transferase and acyltransferase involve the largest number of metabolic biomarkers. Nine metabolite targets (TP53, IL1B, TNF, PTEN, HLA-DRB1, MTOR, HRAS, INS and PIK3CA) of potential drug proteins for treating depression are widely involved in the nervous system, immune system and endocrine system. Seven important pathways, such as PI3K-Akt signaling pathway and mTOR signaling pathway, are closely related to the pathology mechanisms of depression. The application of important biomarkers and pathways in clinical practice may help to improve the diagnosis of depression and the evaluation of antidepressant effect, which provides important clues for the study of metabolic characteristics of depression.
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Affiliation(s)
- Yao Gao
- Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, China.,Shanxi Key Laboratory of Active Constituents Research and Utilization of TCM, Taiyuan, China
| | - Teng Xu
- Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, China.,Shanxi Key Laboratory of Active Constituents Research and Utilization of TCM, Taiyuan, China
| | - Ying-Xia Zhao
- Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, China.,Shanxi Key Laboratory of Active Constituents Research and Utilization of TCM, Taiyuan, China
| | - Ting Ling-Hu
- Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, China.,Shanxi Key Laboratory of Active Constituents Research and Utilization of TCM, Taiyuan, China
| | - Shao-Bo Liu
- Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, China.,Shanxi Key Laboratory of Active Constituents Research and Utilization of TCM, Taiyuan, China
| | - Jun-Sheng Tian
- Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, China.,Shanxi Key Laboratory of Active Constituents Research and Utilization of TCM, Taiyuan, China
| | - Xue-Mei Qin
- Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, China.,Shanxi Key Laboratory of Active Constituents Research and Utilization of TCM, Taiyuan, China
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TP53 Polymorphism Contributes to the Susceptibility to Bipolar Disorder but Not to Schizophrenia in the Chinese Han Population. J Mol Neurosci 2019; 68:679-687. [DOI: 10.1007/s12031-019-01330-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Accepted: 04/25/2019] [Indexed: 12/15/2022]
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