1
|
Aravindan A, Newell ME, Halden RU. Literature review and meta-analysis of environmental toxins associated with increased risk of Parkinson's disease. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 931:172838. [PMID: 38685425 DOI: 10.1016/j.scitotenv.2024.172838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 04/25/2024] [Accepted: 04/26/2024] [Indexed: 05/02/2024]
Abstract
Parkinson's disease (PD) is a neurodegenerative disorder and leading cause of death worldwide, whose pathogenesis has been linked to toxic environmental exposures. We used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (i) to compile, and group by exposure setting (non-specified general; residential; occupational), environmental factors reported to modulate the risk of developing PD and (ii) to map and geospatially analyze global regions of both research activity and paucity. Among the broader environmental settings, occupational exposures had the highest average odds ratio value at 3.82, followed by general (non-specified or mixed) exposures at 3.07, and residential exposures at 2.36. Occupational exposure to industrial toxins was the highest ranked subset of exposures with an odds ratio of 10.74. Among the studies meeting the inclusion criteria, 75 % were conducted in Europe or the Western United States. The number of individuals partaking per study ranged from a high of 55,585 (Taiwan) to a low of 233 (Faroe Islands), with a mean of n = 14,462. The top three environmental factors associated with high odds ratios for increased risk of developing PD were (i) exposure to dyes (25.33), (ii) methylene chloride (16.5) and specifically in adult men (iii) consumption of fatty whale meat (10.57), which is known to harbor a broad spectrum of so called persistent, bioaccumulative, toxic (PBT) pollutants. Geospatially, the highest odds ratio values were identified in European countries, whereas notable data gaps were revealed for South America, Australia, Africa, and the majority of Asia with the exception of Taiwan. Whereas occupational exposures to industrial chemicals, such as harmful dyes and methylene chloride, ranked highest in risk values, available data suggest notable opportunities for reducing PD cases globally by limiting harmful environmental exposures to a spectrum of toxic chemicals, particularly via the food intake route. Thus, current efforts in improving environmental quality globally by limiting toxic emission may deliver the added benefit of helping to reign in PD. Agents of concern in this respect include pesticides (e.g., paraquat, demeton, monocrotophos), particulate matter associated with air pollution, and a spectrum of organic and inorganic neurotoxins including heavy metals.
Collapse
Affiliation(s)
- Anumitha Aravindan
- Biodesign Center for Environmental Health Engineering, Biodesign Institute, Arizona State University, Building B, 1001 S McAllister Ave, Tempe, AZ 85281-8101, USA; The College of Liberal Arts and Sciences, Arizona State University, Tempe, AZ, USA; Barrett, The Honors College, Arizona State University, Tempe, AZ, USA.
| | - Melanie Engstrom Newell
- Biodesign Center for Environmental Health Engineering, Biodesign Institute, Arizona State University, Building B, 1001 S McAllister Ave, Tempe, AZ 85281-8101, USA; Ira A. Fulton School for Engineering of Matter, Transport & Energy, Arizona State University, Tempe, AZ 85281, USA.
| | - Rolf U Halden
- Biodesign Center for Environmental Health Engineering, Biodesign Institute, Arizona State University, Building B, 1001 S McAllister Ave, Tempe, AZ 85281-8101, USA; Ira A. Fulton School for Engineering of Matter, Transport & Energy, Arizona State University, Tempe, AZ 85281, USA; School of Sustainable Engineering and the Built Environment, Arizona State University, Tempe, AZ, USA; OneWaterOneHealth, Arizona State University Foundation, 1001 S. McAllister Avenue, Tempe, AZ 85287-8101, USA; Global Futures Laboratory, Arizona State University, 800 S. Cady Mall, Tempe, AZ 85281, USA.
| |
Collapse
|
2
|
Pal G, Cook L, Schulze J, Verbrugge J, Alcalay RN, Merello M, Sue CM, Bardien S, Bonifati V, Chung SJ, Foroud T, Gatto E, Hall A, Hattori N, Lynch T, Marder K, Mascalzoni D, Novaković I, Thaler A, Raymond D, Salari M, Shalash A, Suchowersky O, Mencacci NE, Simuni T, Saunders‐Pullman R, Klein C. Genetic Testing in Parkinson's Disease. Mov Disord 2023; 38:1384-1396. [PMID: 37365908 PMCID: PMC10946878 DOI: 10.1002/mds.29500] [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: 10/31/2022] [Revised: 02/28/2023] [Accepted: 05/24/2023] [Indexed: 06/28/2023] Open
Abstract
Genetic testing for persons with Parkinson's disease is becoming increasingly common. Significant gains have been made regarding genetic testing methods, and testing is becoming more readily available in clinical, research, and direct-to-consumer settings. Although the potential utility of clinical testing is expanding, there are currently no proven gene-targeted therapies, but clinical trials are underway. Furthermore, genetic testing practices vary widely, as do knowledge and attitudes of relevant stakeholders. The specter of testing mandates financial, ethical, and physician engagement, and there is a need for guidelines to help navigate the myriad of challenges. However, to develop guidelines, gaps and controversies need to be clearly identified and analyzed. To this end, we first reviewed recent literature and subsequently identified gaps and controversies, some of which were partially addressed in the literature, but many of which are not well delineated or researched. Key gaps and controversies include: (1) Is genetic testing appropriate in symptomatic and asymptomatic individuals without medical actionability? (2) How, if at all, should testing vary based on ethnicity? (3) What are the long-term outcomes of consumer- and research-based genetic testing in presymptomatic PD? (4) What resources are needed for clinical genetic testing, and how is this impacted by models of care and cost-benefit considerations? Addressing these issues will help facilitate the development of consensus and guidelines regarding the approach and access to genetic testing and counseling. This is also needed to guide a multidisciplinary approach that accounts for cultural, geographic, and socioeconomic factors in developing testing guidelines. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
Collapse
Affiliation(s)
- Gian Pal
- Department of NeurologyRutgers‐Robert Wood Johnson Medical SchoolNew BrunswickNew JerseyUSA
| | - Lola Cook
- Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Jeanine Schulze
- Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Jennifer Verbrugge
- Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Roy N. Alcalay
- Department of NeurologyColumbia University Irving Medical CenterNew YorkNew YorkUSA
- Movement Disorders Division, Neurological InstituteTel Aviv Sourasky Medical CenterTel AvivIsrael
| | - Marcelo Merello
- Neuroscience Department FleniCONICET, Catholic University of Buenos AiresBuenos AiresArgentina
| | - Carolyn M. Sue
- Department of NeurologyRoyal North Shore HospitalSt LeonardsNew South WalesAustralia
- Department of Neurogenetics, Kolling Institute, Faculty of Medicine and HealthUniversity of SydneySt LeonardsNew South WalesAustralia
| | - Soraya Bardien
- Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Faculty of Medicine and Health SciencesStellenbosch UniversityCape TownSouth Africa
- South African Medical Research Council/Stellenbosch University Genomics of Brain Disorders Research UnitStellenbosch UniversityCape TownSouth Africa
| | - Vincenzo Bonifati
- Department of Clinical Genetics, Erasmus MCUniversity Medical Center RotterdamRotterdamthe Netherlands
| | - Sun Ju Chung
- Department of Neurology, Asan Medical CenterUniversity of Ulsan College of MedicineSeoulSouth Korea
| | - Tatiana Foroud
- Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Emilia Gatto
- Instituto de Neurociencias Buenos AiresAffiliated Buenos Aires UniversityBuenos AiresArgentina
| | - Anne Hall
- Parkinson's FoundationNew YorkNew YorkUSA
| | - Nobutaka Hattori
- Research Institute of Disease of Old Age, Graduate School of MedicineJuntendo UniversityTokyoJapan
- Department of NeurologyJuntendo University School of MedicineTokyoJapan
- Neurodegenerative Disorders Collaborative LaboratoryRIKEN Center for Brain ScienceSaitamaJapan
| | - Tim Lynch
- Dublin Neurological Institute at the Mater Misericordiae University HospitalDublinIreland
| | - Karen Marder
- Department of NeurologyColumbia University Irving Medical CenterNew YorkNew YorkUSA
| | - Deborah Mascalzoni
- Institute for Biomedicine, Eurac ResearchAffiliated Institute of the University of LübeckBolzanoItaly
- Center for Research Ethics and Bioethics, Department of Public Health and Caring SciencesUppsala UniversityUppsalaSweden
| | - Ivana Novaković
- Institute of Human Genetics, Faculty of MedicineUniversity of BelgradeBelgradeSerbia
| | - Avner Thaler
- Movement Disorders Unit, Neurological InstituteTel‐Aviv Medical CenterTel AvivIsrael
- Sackler School of MedicineTel‐Aviv UniversityTel AvivIsrael
- Sagol School of NeuroscienceTel‐Aviv UniversityTel AvivIsrael
- Laboratory of Early Markers of Neurodegeneration, Neurological InstituteTel‐Aviv Medical CenterTel AvivIsrael
| | - Deborah Raymond
- Department of NeurologyMount Sinai Beth Israel and Icahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Mehri Salari
- Functional Neurosurgery Research Center, Shohada‐e Tajrish Comprehensive Neurosurgical Center of ExcellenceShahid Beheshti University of Medical SciencesTehranIran
| | - Ali Shalash
- Department of Neurology, Faculty of MedicineAin Shams UniversityCairoEgypt
| | - Oksana Suchowersky
- Department of Medicine (Neurology), Medical Genetics and PediatricsUniversity of AlbertaEdmontonAlbertaCanada
| | - Niccolò E. Mencacci
- Ken and Ruth Davee Department of Neurology and Simpson Querrey Center for NeurogeneticsNorthwestern University, Feinberg School of MedicineChicagoIllinoisUSA
- Parkinson's Disease and Movement Disorders CenterNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Tanya Simuni
- Parkinson's Disease and Movement Disorders CenterNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Rachel Saunders‐Pullman
- Department of NeurologyMount Sinai Beth Israel and Icahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Christine Klein
- Institute of NeurogeneticsUniversity of Lübeck and University Hospital Schleswig‐HolsteinLübeckGermany
| |
Collapse
|
3
|
Kalra J. Crosslink between mutations in mitochondrial genes and brain disorders: implications for mitochondrial-targeted therapeutic interventions. Neural Regen Res 2023. [PMID: 35799515 PMCID: PMC9241418 DOI: 10.4103/1673-5374.343884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/06/2022] Open
|
4
|
Simpson C, Vinikoor-Imler L, Nassan FL, Shirvan J, Lally C, Dam T, Maserejian N. Prevalence of ten LRRK2 variants in Parkinson's disease: A comprehensive review. Parkinsonism Relat Disord 2022; 98:103-113. [PMID: 35654702 DOI: 10.1016/j.parkreldis.2022.05.012] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 05/12/2022] [Accepted: 05/13/2022] [Indexed: 12/25/2022]
Abstract
INTRODUCTION Variants in the leucine-rich repeat kinase 2 gene (LRRK2) are risk factors for Parkinson's disease (PD), but their prevalence varies geographically, reflecting the locations of founder events and dispersion of founders' descendants. METHODS A comprehensive literature review was conducted to identify studies providing prevalence estimates for any of ten variants in LRRK2 (G2019S, R1441C, R1441G, R1441H, I2020T, N1437H, Y1699C, S1761R, G2385R, R1628P) among individuals with PD globally. We calculated crude country-specific variant prevalence estimates and, when possible, adjusted estimates for ethno-racial composition. For clinic-based studies, probands were used over other familial cases, whereas for population-based studies, all PD cases were used. RESULTS The analysis included 161 articles from 52 countries yielding 581 prevalence estimates across the ten variants. G2019S was the most common variant, exceeding 1.0% in 26 of 51 countries with estimates. The other variants were far less common. G2385R and R1628P were observed almost exclusively in East Asian countries, where they were found in ∼5-10% of cases. All prevalence estimates adjusted for ethno-racial composition were lower than their unadjusted counterparts, although data permitting this adjustment was only available for six countries. CONCLUSIONS Except for G2019S, the LRRK2 variants covered in this review were uncommon in most countries studied. However, there were countries with higher prevalence for some variants, reflecting the uneven geographic distribution of LRRK2 variants. The fact that ethno-racial group‒adjusted estimates were lower than crude estimates suggests that estimates derived largely from clinic-based studies may overstate the true prevalence of some LRRK2 variants in PD.
Collapse
Affiliation(s)
| | | | | | | | - Cathy Lally
- Epidemiology Research and Methods LLC, Atlanta, GA, USA.
| | | | | |
Collapse
|
5
|
A new alpha-synuclein missense variant (Thr72Met) in two Turkish families with Parkinson's disease. Parkinsonism Relat Disord 2021; 89:63-72. [PMID: 34229155 PMCID: PMC8607441 DOI: 10.1016/j.parkreldis.2021.06.023] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 06/14/2021] [Accepted: 06/26/2021] [Indexed: 11/03/2022]
Abstract
Introduction: Missense variants and multiplications of the alpha-synuclein gene (SNCA) are established as rare causes of autosomal dominant forms of Parkinson’s Disease (PD). Methods: Two families of Turkish origins with PD were studied; the SNCA coding region was analyzed by Sanger sequencing, and by whole exome sequencing (WES) in the index patient of the first and the second family, respectively. Co-segregation studies and haplotype analysis across the SNCA locus were carried out. Functional studies included in vitro thioflavin-T aggregation assay and in silico structural modelling of the alpha-synuclein (α-syn) protein. Results: We identified a novel heterozygous SNCA variant, c.215C > T (p.Thr72Met), segregating with PD in a total of four members in the two families. A shared haplotype across the SNCA locus was found among variant carriers, suggestive of a common ancestor. We next showed that the Thr72Met α-syn displays enhanced aggregation in-vitro, compared to the wild-type species. In silico analysis of a tetrameric α-syn structural model revealed that Threonine 72 lies in the tetrameric interface, and substitution with the much larger methionine residue could potentially destabilize the tetramer. Conclusion: We present clinical, genetic, and functional data supporting a causative role of the SNCA c.215C > T (p.Thr72Met) variant in familial PD. Testing for this variant in patients with PD, especially of Turkish origin, might detect additional carriers. Further functional analyses might offer new insights into the shared biochemical properties of the PD-causing SNCA missense variants, and how they lead to neurodegeneration.
Collapse
|
6
|
The contribution of CNVs to the most common aging-related neurodegenerative diseases. Aging Clin Exp Res 2021; 33:1187-1195. [PMID: 32026430 DOI: 10.1007/s40520-020-01485-4] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Accepted: 01/17/2020] [Indexed: 12/12/2022]
Abstract
Alzheimer and Parkinson's diseases are neurodegenerative aging-related pathological conditions, mainly caused by the interplay of genetic and non-genetic factors and whose incidence rate is going to drastically increase given the growing life expectancy. To address these complex multifactorial traits, a systems biology strategy is needed to highlight genotype-phenotype correlations as well as overlapping gene signatures. Copy number variants (CNVs) are structural chromosomal imbalances that can have pathogenic nature causing or contributing to the disease onset or progression. Moreover, neurons affected by CNVs have been found to decline in number depending on age in healthy controls and may be selectively vulnerable to aging-related cell-death. In this review, we aim to update the reader on the role of these variations in the pathogenesis of Alzheimer and Parkinson diseases. To widen the comprehension of pathogenic mechanisms underlying them, we discuss variations detected from blood or brain specimens, as well as overlapped signatures between the two pathologies.
Collapse
|
7
|
Zhang L, Han L, Huang Y, Feng Z, Wang X, Li H, Song F, Liu L, Li J, Zheng H, Wang P, Song F, Chen K. SNPs within microRNA binding sites and the prognosis of breast cancer. Aging (Albany NY) 2021; 13:7465-7480. [PMID: 33658398 PMCID: PMC7993692 DOI: 10.18632/aging.202612] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Accepted: 12/29/2020] [Indexed: 12/25/2022]
Abstract
Single nucleotide polymorphisms (SNPs) within microRNA binding sites can affect the binding of microRNA to mRNA and regulate gene expression, thereby contributing to cancer prognosis. Here we performed a two-stage study of 2647 breast cancer patients to explore the association between SNPs within microRNA binding sites and breast cancer prognosis. In stage I, we genotyped 192 SNPs within microRNA binding sites using the Illumina Goldengate platform. In stage II, we validated SNPs associated with breast cancer prognosis in another dataset using the TaqMan platform. We identified 8 SNPs significantly associated with breast cancer prognosis in stage I (P<0.05), and only rs10878441 was statistically significant in stage II (AA vs CC, HR=2.21, 95% CI: 1.11-4.42, P=0.024). We combined the data from stage I and stage II, and found that, compared with rs10878441 AA genotype, CC genotype was associated with poor survival of breast cancer (HR=2.19, 95% CI: 1.30-3.70, P=0.003). Stratified analyses demonstrated that rs10878441 was related to breast cancer prognosis in grade II and lymph node-negative patients (P<0.05). The Leucine-rich repeat kinase 2 (LRRK2) rs10878441 CC genotype is associated with poor prognosis of breast cancer in a Chinese population and may be used as a potential prognostic biomarker for breast cancer. • The LRRK2 rs10878441 CC genotype is associated with poor prognosis of breast cancer in a Chinese population. • Stratified analyses demonstrated that rs10878441 was related to breast cancer prognosis in grade II patients and lymph node-negative patients.
Collapse
Affiliation(s)
- Liwen Zhang
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, People's Republic of China
| | - Lu Han
- Department of Infection Control, Tianjin Huanhu Hospital, Tianjin 300350, People's Republic of China
| | - Yubei Huang
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, People's Republic of China
| | - Ziwei Feng
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, People's Republic of China
| | - Xin Wang
- Department of Epidemiology and Biostatistics, West China School of Public Health, Sichuan University, Sichuan 610041, People's Republic of China
| | - Haixin Li
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, People's Republic of China.,Department of Cancer Biobank, Key Laboratory of Cancer Prevention and Therapy of Tianjin, Tianjin's Clinical Research Center for Cancer, National Clinical Research Centre of Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, People's Republic of China
| | - Fangfang Song
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, People's Republic of China
| | - Luyang Liu
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, People's Republic of China
| | - Junxian Li
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, People's Republic of China
| | - Hong Zheng
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, People's Republic of China
| | - Peishan Wang
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, People's Republic of China
| | - Fengju Song
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, People's Republic of China
| | - Kexin Chen
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, People's Republic of China
| |
Collapse
|
8
|
Nielsen JJJ, Lillethorup TP, Glud AN, Sørensen JCH, Orlowski D. The application of iPSCs in Parkinson’s disease. Acta Neurobiol Exp (Wars) 2020. [DOI: 10.21307/ane-2020-024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
|
9
|
Kelley CM, Ginsberg SD, Alldred MJ, Strupp BJ, Mufson EJ. Maternal Choline Supplementation Alters Basal Forebrain Cholinergic Neuron Gene Expression in the Ts65Dn Mouse Model of Down Syndrome. Dev Neurobiol 2019; 79:664-683. [PMID: 31120189 PMCID: PMC6756931 DOI: 10.1002/dneu.22700] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Revised: 05/16/2019] [Accepted: 05/18/2019] [Indexed: 12/12/2022]
Abstract
Down syndrome (DS), trisomy 21, is marked by intellectual disability and a premature aging profile including degeneration of the basal forebrain cholinergic neuron (BFCN) projection system, similar to Alzheimer's disease (AD). Although data indicate that perinatal maternal choline supplementation (MCS) alters the structure and function of these neurons in the Ts65Dn mouse model of DS and AD (Ts), whether MCS affects the molecular profile of vulnerable BFCNs remains unknown. We investigated the genetic signature of BFCNs obtained from Ts and disomic (2N) offspring of Ts65Dn dams maintained on a MCS diet (Ts+, 2N+) or a choline normal diet (ND) from mating until weaning, then maintained on ND until 4.4-7.5 months of age. Brains were then collected and prepared for choline acetyltransferase (ChAT) immunohistochemistry and laser capture microdissection followed by RNA extraction and custom-designed microarray analysis. Findings revealed upregulation of select transcripts in classes of genes related to the cytoskeleton (Tubb4b), AD (Cav1), cell death (Bcl2), presynaptic (Syngr1), immediate early (Fosb, Arc), G protein signaling (Gabarap, Rgs10), and cholinergic neurotransmission (Chrnb3) in Ts compared to 2N mice, which were normalized with MCS. Moreover, significant downregulation was seen in select transcripts associated with the cytoskeleton (Dync1h1), intracellular signaling (Itpka, Gng3, and Mlst8), and cell death (Ccng1) in Ts compared to 2N mice that was normalized with MCS. This study provides insight into genotype-dependent differences and the effects of MCS at the molecular level within a key vulnerable cell type in DS and AD.
Collapse
Affiliation(s)
- Christy M. Kelley
- Department of Neurobiology, Barrow Neurological Institute, Phoenix, AZ, USA
| | - Stephen D. Ginsberg
- Center for Dementia Research, Nathan Kline Institute, Orangeburg, NY, USA
- Department of Psychiatry, NYU Langone School of Medicine, New York, NY, USA
- Department of Neuroscience & Physiology, NYU Langone School of Medicine, New York, NY, USA
- NYU Neuroscience Institute, NYU Langone School of Medicine, New York, NY, USA
| | - Melissa J. Alldred
- Center for Dementia Research, Nathan Kline Institute, Orangeburg, NY, USA
- Department of Psychiatry, NYU Langone School of Medicine, New York, NY, USA
| | - Barbara J. Strupp
- Division of Nutritional Sciences and Department of Psychology, Cornell University, Ithaca, NY, USA
| | - Elliott J. Mufson
- Department of Neurobiology, Barrow Neurological Institute, Phoenix, AZ, USA
| |
Collapse
|