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Angelopoulou E, Bougea A, Paudel YN, Georgakopoulou VE, Papageorgiou SG, Piperi C. Genetic Insights into the Molecular Pathophysiology of Depression in Parkinson's Disease. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:1138. [PMID: 37374342 DOI: 10.3390/medicina59061138] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 06/05/2023] [Accepted: 06/10/2023] [Indexed: 06/29/2023]
Abstract
Background and Objectives: Parkinson's disease (PD) is a clinically heterogeneous disorder with poorly understood pathological contributing factors. Depression presents one of the most frequent non-motor PD manifestations, and several genetic polymorphisms have been suggested that could affect the depression risk in PD. Therefore, in this review we have collected recent studies addressing the role of genetic factors in the development of depression in PD, aiming to gain insights into its molecular pathobiology and enable the future development of targeted and effective treatment strategies. Materials and Methods: we have searched PubMed and Scopus databases for peer-reviewed research articles published in English (pre-clinical and clinical studies as well as relevant reviews and meta-analyses) investigating the genetic architecture and pathophysiology of PD depression. Results: in particular, polymorphisms in genes related to the serotoninergic pathway (sodium-dependent serotonin transporter gene, SLC6A4, tryptophan hydrolase-2 gene, TPH2), dopamine metabolism and neurotransmission (dopamine receptor D3 gene, DRD3, aldehyde dehydrogenase 2 gene, ALDH2), neurotrophic factors (brain-derived neurotrophic factor gene, BDNF), endocannabinoid system (cannabinoid receptor gene, CNR1), circadian rhythm (thyrotroph embryonic factor gene, TEF), the sodium-dependent neutral amino acid transporter B(0)AT2 gene, SLC6A15), and PARK16 genetic locus were detected as altering susceptibility to depression among PD patients. However, polymorphisms in the dopamine transporter gene (SLC6A3), monoamine oxidase A (MAOA) and B (MAOB) genes, catechol-O-methyltransferase gene (COMT), CRY1, and CRY2 have not been related to PD depression. Conclusions: the specific mechanisms underlying the potential role of genetic diversity in PD depression are still under investigation, however, there is evidence that they may involve neurotransmitter imbalance, mitochondrial impairment, oxidative stress, and neuroinflammation, as well as the dysregulation of neurotrophic factors and their downstream signaling pathways.
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Affiliation(s)
- Efthalia Angelopoulou
- Department of Neurology, Eginition University Hospital, National and Kapodistrian University of Athens, 11528 Athens, Greece
- Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, 75 M. Asias Street, 11527 Athens, Greece
| | - Anastasia Bougea
- Department of Neurology, Eginition University Hospital, National and Kapodistrian University of Athens, 11528 Athens, Greece
| | - Yam Nath Paudel
- Neuropharmacology Research Laboratory, Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Bandar Sunway, Subang Jaya 46150, Selangor, Malaysia
| | | | - Sokratis G Papageorgiou
- Department of Neurology, Eginition University Hospital, National and Kapodistrian University of Athens, 11528 Athens, Greece
| | - Christina Piperi
- Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, 75 M. Asias Street, 11527 Athens, Greece
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Apsley AT, Domico ER, Verbiest MA, Brogan CA, Buck ER, Burich AJ, Cardone KM, Stone WJ, Anisimova M, Vandenbergh DJ. A novel hypervariable variable number tandem repeat in the dopamine transporter gene ( SLC6A3). Life Sci Alliance 2023; 6:e202201677. [PMID: 36754567 PMCID: PMC9909461 DOI: 10.26508/lsa.202201677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 01/25/2023] [Accepted: 01/26/2023] [Indexed: 02/10/2023] Open
Abstract
The dopamine transporter gene, SLC6A3, has received substantial attention in genetic association studies of various phenotypes. Although some variable number tandem repeats (VNTRs) present in SLC6A3 have been tested in genetic association studies, results have not been consistent. VNTRs in SLC6A3 that have not been examined genetically were characterized. The Tandem Repeat Annotation Library was used to characterize the VNTRs of 64 unrelated long-read haplotype-phased SLC6A3 sequences. Sequence similarity of each repeat unit of the five VNTRs is reported, along with the correlations of SNP-SNP, SNP-VNTR, and VNTR-VNTR alleles across the gene. One of these VNTRs is a novel hyper-VNTR (hyVNTR) in intron 8 of SLC6A3, which contains a range of 3.4-133.4 repeat copies and has a consensus sequence length of 38 bp, with 82% G+C content. The 38-base repeat was predicted to form G-quadruplexes in silico and was confirmed by circular dichroism spectroscopy. In addition, this hyVNTR contains multiple putative binding sites for PRDM9, which, in combination with low levels of linkage disequilibrium around the hyVNTR, suggests it might be a recombination hotspot.
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Affiliation(s)
- Abner T Apsley
- Department of Biobehavioral Health, The Pennsylvania State University, State College, PA, USA
- The Molecular, Cellular and Integrative Biosciences Program, The Pennsylvania State University, State College, PA, USA
| | - Emma R Domico
- Department of Biobehavioral Health, The Pennsylvania State University, State College, PA, USA
| | - Max A Verbiest
- Institute of Computational Life Science, School of Life Sciences and Facility Management, Zürich University of Applied Sciences, Wädenswil, Switzerland
- Department of Molecular Life Sciences, Faculty of Science, University of Zurich, Zurich, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Carly A Brogan
- Department of Biobehavioral Health, The Pennsylvania State University, State College, PA, USA
| | - Evan R Buck
- Department of Biobehavioral Health, The Pennsylvania State University, State College, PA, USA
| | - Andrew J Burich
- Department of Information Science and Technologies - Applied Data Sciences, The Pennsylvania State University, State College, PA, USA
| | - Kathleen M Cardone
- Department of Biobehavioral Health, The Pennsylvania State University, State College, PA, USA
| | - Wesley J Stone
- Department of Biobehavioral Health, The Pennsylvania State University, State College, PA, USA
| | - Maria Anisimova
- Institute of Computational Life Science, School of Life Sciences and Facility Management, Zürich University of Applied Sciences, Wädenswil, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - David J Vandenbergh
- Department of Biobehavioral Health, The Pennsylvania State University, State College, PA, USA
- The Molecular, Cellular and Integrative Biosciences Program, The Pennsylvania State University, State College, PA, USA
- Institute of the Neurosciences, The Pennsylvania State University, State College, PA, USA
- The Bioinformatics and Genomics Program, The Pennsylvania State University, State College, PA, USA
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