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Chapman MA, Sorg BA. A Systematic Review of Extracellular Matrix-Related Alterations in Parkinson's Disease. Brain Sci 2024; 14:522. [PMID: 38928523 PMCID: PMC11201521 DOI: 10.3390/brainsci14060522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 05/13/2024] [Accepted: 05/15/2024] [Indexed: 06/28/2024] Open
Abstract
The role of the extracellular matrix (ECM) in Parkinson's disease (PD) is not well understood, even though it is critical for neuronal structure and signaling. This systematic review identified the top deregulated ECM-related pathways in studies that used gene set enrichment analyses (GSEA) to document transcriptomic, proteomic, or genomic alterations in PD. PubMed and Google scholar were searched for transcriptomics, proteomics, or genomics studies that employed GSEA on data from PD tissues or cells and reported ECM-related pathways among the top-10 most enriched versus controls. Twenty-seven studies were included, two of which used multiple omics analyses. Transcriptomics and proteomics studies were conducted on a variety of tissue and cell types. Of the 17 transcriptomics studies (16 data sets), 13 identified one or more adhesion pathways in the top-10 deregulated gene sets or pathways, primarily related to cell adhesion and focal adhesion. Among the 8 proteomics studies, 5 identified altered overarching ECM gene sets or pathways among the top 10. Among the 4 genomics studies, 3 identified focal adhesion pathways among the top 10. The findings summarized here suggest that ECM organization/structure and cell adhesion (particularly focal adhesion) are altered in PD and should be the focus of future studies.
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Affiliation(s)
| | - Barbara A. Sorg
- R.S. Dow Neurobiology, Legacy Research Institute, Portland, OR 97232, USA;
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Swart PC, Du Plessis M, Rust C, Womersley JS, van den Heuvel LL, Seedat S, Hemmings SMJ. Identifying genetic loci that are associated with changes in gene expression in PTSD in a South African cohort. J Neurochem 2023; 166:705-719. [PMID: 37522158 PMCID: PMC10953375 DOI: 10.1111/jnc.15919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 06/30/2023] [Accepted: 07/05/2023] [Indexed: 08/01/2023]
Abstract
The molecular mechanisms underlying posttraumatic stress disorder (PTSD) are yet to be fully elucidated, especially in underrepresented population groups. Expression quantitative trait loci (eQTLs) are DNA sequence variants that influence gene expression, in a local (cis-) or distal (trans-) manner, and subsequently impact cellular, tissue, and system physiology. This study aims to identify genetic loci associated with gene expression changes in a South African PTSD cohort. Genome-wide genotype and RNA-sequencing data were obtained from 32 trauma-exposed controls and 35 PTSD cases of mixed-ancestry, as part of the SHARED ROOTS project. The first approach utilised 108 937 single-nucleotide polymorphisms (SNPs) (MAF > 10%) and 11 312 genes with Matrix eQTL to map potential eQTLs, while controlling for covariates as appropriate. The second analysis was focused on 5638 SNPs related to a previously calculated PTSD polygenic risk score for this cohort. SNP-gene pairs were considered eQTLs if they surpassed Bonferroni correction and had a false discovery rate <0.05. We did not identify eQTLs that significantly influenced gene expression in a PTSD-dependent manner. However, several known cis-eQTLs, independent of PTSD diagnosis, were observed. rs8521 (C > T) was associated with TAGLN and SIDT2 expression, and rs11085906 (C > T) was associated with ZNF333 expression. This exploratory study provides insight into the molecular mechanisms associated with PTSD in a non-European, admixed sample population. This study was limited by the cross-sectional design and insufficient statistical power. Overall, this study should encourage further multi-omics approaches towards investigating PTSD in diverse populations.
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Affiliation(s)
- Patricia C. Swart
- Department of Psychiatry, Faculty of Medicine and Health SciencesStellenbosch UniversityCape TownSouth Africa
- South African Medical Research Council/Stellenbosch University Genomics of Brain Disorders UnitCape TownSouth Africa
| | - Morne Du Plessis
- Department of Psychiatry, Faculty of Medicine and Health SciencesStellenbosch UniversityCape TownSouth Africa
- South African Medical Research Council/Stellenbosch University Genomics of Brain Disorders UnitCape TownSouth Africa
| | - Carlien Rust
- Department of Psychiatry, Faculty of Medicine and Health SciencesStellenbosch UniversityCape TownSouth Africa
- South African Medical Research Council/Stellenbosch University Genomics of Brain Disorders UnitCape TownSouth Africa
| | - Jacqueline S. Womersley
- Department of Psychiatry, Faculty of Medicine and Health SciencesStellenbosch UniversityCape TownSouth Africa
- South African Medical Research Council/Stellenbosch University Genomics of Brain Disorders UnitCape TownSouth Africa
| | - Leigh L. van den Heuvel
- Department of Psychiatry, Faculty of Medicine and Health SciencesStellenbosch UniversityCape TownSouth Africa
- South African Medical Research Council/Stellenbosch University Genomics of Brain Disorders UnitCape TownSouth Africa
| | - Soraya Seedat
- Department of Psychiatry, Faculty of Medicine and Health SciencesStellenbosch UniversityCape TownSouth Africa
- South African Medical Research Council/Stellenbosch University Genomics of Brain Disorders UnitCape TownSouth Africa
| | - Sian M. J. Hemmings
- Department of Psychiatry, Faculty of Medicine and Health SciencesStellenbosch UniversityCape TownSouth Africa
- South African Medical Research Council/Stellenbosch University Genomics of Brain Disorders UnitCape TownSouth Africa
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Edelmann S, Wiegand A, Hentrich T, Pasche S, Schulze-Hentrich JM, Munk MHJ, Fallgatter AJ, Kreifelts B, Nieratschker V. Blood transcriptome analysis suggests an indirect molecular association of early life adversities and adult social anxiety disorder by immune-related signal transduction. Front Psychiatry 2023; 14:1125553. [PMID: 37181876 PMCID: PMC10168183 DOI: 10.3389/fpsyt.2023.1125553] [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: 12/16/2022] [Accepted: 03/29/2023] [Indexed: 05/16/2023] Open
Abstract
Social anxiety disorder (SAD) is a psychiatric disorder characterized by severe fear in social situations and avoidance of these. Multiple genetic as well as environmental factors contribute to the etiopathology of SAD. One of the main risk factors for SAD is stress, especially during early periods of life (early life adversity; ELA). ELA leads to structural and regulatory alterations contributing to disease vulnerability. This includes the dysregulation of the immune response. However, the molecular link between ELA and the risk for SAD in adulthood remains largely unclear. Evidence is emerging that long-lasting changes of gene expression patterns play an important role in the biological mechanisms linking ELA and SAD. Therefore, we conducted a transcriptome study of SAD and ELA performing RNA sequencing in peripheral blood samples. Analyzing differential gene expression between individuals suffering from SAD with high or low levels of ELA and healthy individuals with high or low levels of ELA, 13 significantly differentially expressed genes (DEGs) were identified with respect to SAD while no significant differences in expression were identified with respect to ELA. The most significantly expressed gene was MAPK3 (p = 0.003) being upregulated in the SAD group compared to control individuals. In contrary, weighted gene co-expression network analysis (WGCNA) identified only modules significantly associated with ELA (p ≤ 0.05), not with SAD. Furthermore, analyzing interaction networks of the genes from the ELA-associated modules and the SAD-related MAPK3 revealed complex interactions of those genes. Gene functional enrichment analyses indicate a role of signal transduction pathways as well as inflammatory responses supporting an involvement of the immune system in the association of ELA and SAD. In conclusion, we did not identify a direct molecular link between ELA and adult SAD by transcriptional changes. However, our data indicate an indirect association of ELA and SAD mediated by the interaction of genes involved in immune-related signal transduction.
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Affiliation(s)
- Susanne Edelmann
- Department of Psychiatry and Psychotherapy, University Hospital of Tuebingen, Tuebingen Center for Mental Health (TüCMH), Eberhard Karls University of Tuebingen, Tuebingen, Germany
| | - Ariane Wiegand
- Department of Psychiatry and Psychotherapy, University Hospital of Tuebingen, Tuebingen Center for Mental Health (TüCMH), Eberhard Karls University of Tuebingen, Tuebingen, Germany
- Max Planck Fellow Group Precision Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Thomas Hentrich
- Institute for Medical Genetics and Applied Genomics, Eberhard Karls University of Tuebingen, Tuebingen, Germany
- Department of Genetics and Epigenetics, Faculty NT, Saarland University, Saarbrücken, Germany
| | - Sarah Pasche
- Department of Psychiatry and Psychotherapy, University Hospital of Tuebingen, Tuebingen Center for Mental Health (TüCMH), Eberhard Karls University of Tuebingen, Tuebingen, Germany
| | - Julia Maria Schulze-Hentrich
- Institute for Medical Genetics and Applied Genomics, Eberhard Karls University of Tuebingen, Tuebingen, Germany
- Department of Genetics and Epigenetics, Faculty NT, Saarland University, Saarbrücken, Germany
| | - Matthias H. J. Munk
- Department of Psychiatry and Psychotherapy, University Hospital of Tuebingen, Tuebingen Center for Mental Health (TüCMH), Eberhard Karls University of Tuebingen, Tuebingen, Germany
| | - Andreas J. Fallgatter
- Department of Psychiatry and Psychotherapy, University Hospital of Tuebingen, Tuebingen Center for Mental Health (TüCMH), Eberhard Karls University of Tuebingen, Tuebingen, Germany
| | - Benjamin Kreifelts
- Department of Psychiatry and Psychotherapy, University Hospital of Tuebingen, Tuebingen Center for Mental Health (TüCMH), Eberhard Karls University of Tuebingen, Tuebingen, Germany
| | - Vanessa Nieratschker
- Department of Psychiatry and Psychotherapy, University Hospital of Tuebingen, Tuebingen Center for Mental Health (TüCMH), Eberhard Karls University of Tuebingen, Tuebingen, Germany
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Cuttler K, Fortuin S, Müller-Nedebock AC, Vlok M, Cloete R, Bardien S. Proteomics analysis of the p.G849D variant in neurexin 2 alpha may reveal insight into Parkinson’s disease pathobiology. Front Aging Neurosci 2022; 14:1002777. [DOI: 10.3389/fnagi.2022.1002777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 11/08/2022] [Indexed: 12/02/2022] Open
Abstract
Parkinson’s disease (PD), the fastest-growing neurological disorder globally, has a complex etiology. A previous study by our group identified the p.G849D variant in neurexin 2 (NRXN2), encoding the synaptic protein, NRXN2α, as a possible causal variant of PD. Therefore, we aimed to perform functional studies using proteomics in an attempt to understand the biological pathways affected by the variant. We hypothesized that this may reveal insight into the pathobiology of PD. Wild-type and mutant NRXN2α plasmids were transfected into SH-SY5Y cells. Thereafter, total protein was extracted and prepared for mass spectrometry using a Thermo Scientific Fusion mass spectrometer equipped with a Nanospray Flex ionization source. The data were then interrogated against the UniProt H. sapiens database and afterward, pathway and enrichment analyses were performed using in silico tools. Overexpression of the wild-type protein led to the enrichment of proteins involved in neurodegenerative diseases, while overexpression of the mutant protein led to the decline of proteins involved in ribosomal functioning. Thus, we concluded that the wild-type NRXN2α may be involved in pathways related to the development of neurodegenerative disorders, and that biological processes related to the ribosome, transcription, and tRNA, specifically at the synapse, could be an important mechanism in PD. Future studies targeting translation at the synapse in PD could therefore provide further information on the pathobiology of the disease.
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