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di Biase L, Pecoraro PM, Carbone SP, Alessi F, Di Lazzaro V. Smoking exposure and Parkinson's disease: A UK Brain Bank pathology-validated case-control study. Parkinsonism Relat Disord 2024; 125:107022. [PMID: 38865837 DOI: 10.1016/j.parkreldis.2024.107022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Revised: 05/22/2024] [Accepted: 05/27/2024] [Indexed: 06/14/2024]
Abstract
INTRODUCTION Epidemiological studies have consistently shown an inverse association between cigarette smoking and Parkinson's disease. Literature indicates that both current and former smokers have a reduced risk of developing PD compared to non-smokers. If smoking protects against Parkinson's disease risk or, conversely, smoking habit is abated due to the disease itself, according to the reverse causation, is still an unsolved question. METHODS 118 patients from the UK Brain Bank with an alive clinical diagnosis of Parkinson's disease were enrolled. Post-mortem validation served as the gold standard for diagnosis to divide the population into true positive and false positive groups. Patient charts were reviewed to extract smoking exposure information and statistical analyses were conducted to determine the odds associated with smoking in the two diagnostic groups. RESULTS Among alive clinically diagnosed patients with Parkinson's disease, 53 % had no smoking exposure. In the True Positive group, 58 % had no smoking exposure, while this proportion was lower in the False Positive group at 46 %. The Odds Ratio for the association between smoking exposure and the two groups was 0.63 (95 % CI: 0.32-1.37). The Chi-square test yielded a p-value of 0.2804. CONCLUSIONS Our findings emphasize the role of smoking exposure in Parkinson's diagnosis. The results indicate that the observed association is not specific to idiopathic Parkinson's disease but rather a broader phenomenon encompassing various parkinsonian disorders. This suggests a potential common neuroprotective effect of smoking, shared risk factors, or supports the reverse causation hypothesis where parkinsonian symptoms reduce smoking exposure.
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Affiliation(s)
- Lazzaro di Biase
- Operative Research Unit of Neurology, Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, 200, 00128, Roma, Italy; Brain Innovations Lab, Università Campus Bio-Medico di Roma, Via Álvaro del Portillo 21, 00128, Rome, Italy.
| | - Pasquale Maria Pecoraro
- Operative Research Unit of Neurology, Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, 200, 00128, Roma, Italy; Research Unit of Neurology, Neurophysiology and Neurobiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128, Roma, Italy
| | - Simona Paola Carbone
- Operative Research Unit of Neurology, Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, 200, 00128, Roma, Italy; Research Unit of Neurology, Neurophysiology and Neurobiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128, Roma, Italy
| | - Francesca Alessi
- Research Unit of Neurology, Neurophysiology and Neurobiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128, Roma, Italy
| | - Vincenzo Di Lazzaro
- Operative Research Unit of Neurology, Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, 200, 00128, Roma, Italy; Research Unit of Neurology, Neurophysiology and Neurobiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128, Roma, Italy
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Grotewold N, Albin RL. Update: Protective and risk factors for Parkinson disease. Parkinsonism Relat Disord 2024; 125:107026. [PMID: 38879999 DOI: 10.1016/j.parkreldis.2024.107026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 06/02/2024] [Accepted: 06/04/2024] [Indexed: 06/18/2024]
Abstract
We review the epidemiologic literature on potential protective and risk factors in Parkinson's Disease (PD). Prior research identified numerous possible protective and risk factors. Potential protective factors include tobacco abuse, physical activity, urate levels, NSAID use, calcium channel blocker use, statin use, and use of some α1-adrenergic antagonists. Some potential protective factors could be products of reverse causation, including increased serum urate, tobacco abuse, and coffee-tea-caffeine consumption. Potential risk factors include traumatic brain injury, pesticide exposure, organic solvent exposure, lead exposure, air pollution, Type 2 Diabetes, some dairy products, cardiovascular disease, and some infections including Hepatitis C, H. pylori, and COVID-19. Potential non-environmental risk factors include bipolar disorder, essential tremor, bullous pemphigoid, and inflammatory bowel disease. There is an inverse relationship with PD and risk of most cancers. Though many potential protective and risk factors for PD were identified, research has not yet led to unique, rigorous prevention trials or successful disease-modifying interventions. While efforts to reduce exposure to some industrial toxicants are well justified, PD incidence might be most effectively reduced by mitigation of risks, such as Type 2 Diabetes, air pollution, traumatic brain injury, or physical inactivity, that are general public health intervention targets.
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Affiliation(s)
- Nikolas Grotewold
- Dept. of Neurology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Roger L Albin
- Dept. of Neurology, University of Michigan, Ann Arbor, MI, 48109, USA; GRECC & Neurology Service, VAAAHS, Ann Arbor, MI, 48105, USA; University of Michigan Morris K. Udall Center of Excellence for Parkinson's Disease Research, Ann Arbor, MI, 48109, USA; University of Michigan Parkinson's Foundation Research Center of Excellence, USA.
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Zhang H, Wang J, Su N, Yang N, Wang X, Li C. Identification and validation of a novel Parkinson-Glioma feature gene signature in glioma and Parkinson's disease. Front Aging Neurosci 2024; 16:1352681. [PMID: 38872623 PMCID: PMC11170708 DOI: 10.3389/fnagi.2024.1352681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 04/29/2024] [Indexed: 06/15/2024] Open
Abstract
Introduction The prognosis for glioma is generally poor, and the 5-year survival rate for patients with this disease has not shown significant improvement over the past few decades. Parkinson's disease (PD) is a prevalent movement disorder, ranking as the second most common neurodegenerative disease after Alzheimer's disease. Although Parkinson's disease and glioma are distinct diseases, they may share certain underlying biological pathways that contribute to their development. Objective This study aims to investigate the involvement of genes associated with Parkinson's disease in the development and prognosis of glioma. Methods We obtained datasets from the TCGA, CGGA, and GEO databases, which included RNA sequencing data and clinical information of glioma and Parkinson's patients. Eight machine learning algorithms were used to identify Parkinson-Glioma feature genes (PGFGs). PGFGs associated with glioma prognosis were identified through univariate Cox analysis. A risk signature was constructed based on PGFGs using Cox regression analysis and the Least Absolute Shrinkage and Selection Operator (LASSO) method. We subsequently validated its predictive ability using various methods, including ROC curves, calibration curves, KM survival analysis, C-index, DCA, independent prognostic analysis, and stratified analysis. To validate the reproducibility of the results, similar work was performed on three external test datasets. Additionally, a meta-analysis was employed to observe the heterogeneity and consistency of the signature across different datasets. We also compared the differences in genomic variations, functional enrichment, immune infiltration, and drug sensitivity analysis based on risk scores. This exploration aimed to uncover potential mechanisms of glioma occurrence and prognosis. Results We identified 30 PGFGs, of which 25 were found to be significantly associated with glioma survival. The prognostic signature, consisting of 19 genes, demonstrated excellent predictive performance for 1-, 2-, and 3-year overall survival (OS) of glioma. The signature emerged as an independent prognostic factor for glioma overall survival (OS), surpassing the predictive performance of traditional clinical variables. Notably, we observed differences in the tumor microenvironment (TME), levels of immune cell infiltration, immune gene expression, and drug resistance analysis among distinct risk groups. These findings may have significant implications for the clinical treatment of glioma patients. Conclusion The expression of genes related to Parkinson's disease is closely associated with the immune status and prognosis of glioma patients, potentially regulating glioma pathogenesis through multiple mechanisms. The interaction between genes associated with Parkinson's disease and the immune system during glioma development provides novel insights into the molecular mechanisms and targeted therapies for glioma.
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Affiliation(s)
- Hengrui Zhang
- Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine and Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China
- Jinan Microecological Biomedicine Shandong Laboratory and Shandong Key Laboratory of Brain Function Remodeling, Jinan, China
| | - Jiwei Wang
- Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine and Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China
- Jinan Microecological Biomedicine Shandong Laboratory and Shandong Key Laboratory of Brain Function Remodeling, Jinan, China
| | - Nan Su
- Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine and Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China
- Jinan Microecological Biomedicine Shandong Laboratory and Shandong Key Laboratory of Brain Function Remodeling, Jinan, China
| | - Ning Yang
- Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine and Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China
- Jinan Microecological Biomedicine Shandong Laboratory and Shandong Key Laboratory of Brain Function Remodeling, Jinan, China
| | - Xinyu Wang
- Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine and Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China
- Jinan Microecological Biomedicine Shandong Laboratory and Shandong Key Laboratory of Brain Function Remodeling, Jinan, China
| | - Chao Li
- Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine and Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China
- Jinan Microecological Biomedicine Shandong Laboratory and Shandong Key Laboratory of Brain Function Remodeling, Jinan, China
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Shen YX, Lee PS, Teng MC, Huang JH, Wang CC, Fan HF. Influence of Cigarette Aerosol in Alpha-Synuclein Oligomerization and Cell Viability in SH-SY5Y: Implications for Parkinson's Disease. ACS Chem Neurosci 2024; 15:1484-1500. [PMID: 38483468 PMCID: PMC10995954 DOI: 10.1021/acschemneuro.3c00771] [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: 11/29/2023] [Revised: 02/16/2024] [Accepted: 02/19/2024] [Indexed: 03/17/2024] Open
Abstract
Although cigarette aerosol exposure is associated with various adverse health issues, its impact on Parkinson's disease (PD) remains elusive. Here, we investigated the effect of cigarette aerosol extract (CAE) on SH-SY5Y cells for the first time, both with and without α-synuclein (α-Syn) overexpression. We found that α-Syn aggravates CAE-induced cell death, oxidative stress, and mitochondrial dysfunction. Fluorescence cross-correlation spectroscopy (FCCS) revealed a dual distribution of α-Syn within the cells, with homogeneous regions indicative of monomeric α-Syn and punctated regions, suggesting the formation of oligomers. Moreover, we observed colocalization of α-Syn oligomers with lysosomes along with a reduction in autophagy activity. These findings suggest that α-Syn overexpression exacerbates CAE-induced intracellular cytotoxicity, mitochondrial dysfunction, and autophagy dysregulation, leading to elevated cell mortality. Our findings provide new insights into the pathogenic mechanisms linking exposure to cigarette aerosols with neurodegenerative diseases.
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Affiliation(s)
- Yu-Xin Shen
- Institute
of Medical Science and Technology, National
Sun Yat-sen University, Kaohsiung 804, Taiwan
- Department
of Chemistry, National Sun Yat-sen University, Kaohsiung 804, Taiwan
- Aerosol
Science Research Center, National Sun Yat-sen
University, Kaohsiung 804, Taiwan
| | - Pe-Shuen Lee
- Institute
of Medical Science and Technology, National
Sun Yat-sen University, Kaohsiung 804, Taiwan
- Department
of Chemistry, National Sun Yat-sen University, Kaohsiung 804, Taiwan
- Aerosol
Science Research Center, National Sun Yat-sen
University, Kaohsiung 804, Taiwan
| | - Ming-Chu Teng
- Institute
of Medical Science and Technology, National
Sun Yat-sen University, Kaohsiung 804, Taiwan
- Department
of Chemistry, National Sun Yat-sen University, Kaohsiung 804, Taiwan
- Aerosol
Science Research Center, National Sun Yat-sen
University, Kaohsiung 804, Taiwan
| | - Jhih-Hong Huang
- Department
of Chemistry, National Sun Yat-sen University, Kaohsiung 804, Taiwan
- Aerosol
Science Research Center, National Sun Yat-sen
University, Kaohsiung 804, Taiwan
| | - Chia C. Wang
- Department
of Chemistry, National Sun Yat-sen University, Kaohsiung 804, Taiwan
- Aerosol
Science Research Center, National Sun Yat-sen
University, Kaohsiung 804, Taiwan
| | - Hsiu-Fang Fan
- Institute
of Medical Science and Technology, National
Sun Yat-sen University, Kaohsiung 804, Taiwan
- Department
of Chemistry, National Sun Yat-sen University, Kaohsiung 804, Taiwan
- Aerosol
Science Research Center, National Sun Yat-sen
University, Kaohsiung 804, Taiwan
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Reynoso A, Torricelli R, Jacobs BM, Shi J, Aslibekyan S, Norcliffe-Kaufmann L, Noyce AJ, Heilbron K. Gene-Environment Interactions for Parkinson's Disease. Ann Neurol 2024; 95:677-687. [PMID: 38113326 DOI: 10.1002/ana.26852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 12/06/2023] [Accepted: 12/06/2023] [Indexed: 12/21/2023]
Abstract
OBJECTIVE Parkinson's disease (PD) is a neurodegenerative disorder with complex etiology. Multiple genetic and environmental factors have been associated with PD, but most PD risk remains unexplained. The aim of this study was to test for statistical interactions between PD-related genetic and environmental exposures in the 23andMe, Inc. research dataset. METHODS Using a validated PD polygenic risk score and common PD-associated variants in the GBA gene, we explored interactions between genetic susceptibility factors and 7 lifestyle and environmental factors: body mass index (BMI), type 2 diabetes (T2D), tobacco use, caffeine consumption, pesticide exposure, head injury, and physical activity (PA). RESULTS We observed that T2D, as well as higher BMI, caffeine consumption, and tobacco use, were associated with lower odds of PD, whereas head injury, pesticide exposure, GBA carrier status, and PD polygenic risk score were associated with higher odds. No significant association was observed between PA and PD. In interaction analyses, we found statistical evidence for an interaction between polygenic risk of PD and the following environmental/lifestyle factors: T2D (p = 6.502 × 10-8), PA (p = 8.745 × 10-5), BMI (p = 4.314 × 10-4), and tobacco use (p = 2.236 × 10-3). Although BMI and tobacco use were associated with lower odds of PD regardless of the extent of individual genetic liability, the direction of the relationship between odds of PD and T2D, as well as PD and PA, varied depending on polygenic risk score. INTERPRETATION We provide preliminary evidence that associations between some environmental and lifestyle factors and PD may be modified by genotype. ANN NEUROL 2024;95:677-687.
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Affiliation(s)
| | - Roberta Torricelli
- Center for Preventive Neurology, Wolfson Institute of Population Health, Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Benjamin Meir Jacobs
- Center for Preventive Neurology, Wolfson Institute of Population Health, Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK
| | | | | | | | - Alastair J Noyce
- Center for Preventive Neurology, Wolfson Institute of Population Health, Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Karl Heilbron
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin, Berlin, Germany
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
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Rose KN, Schwarzschild MA, Gomperts SN. Clearing the Smoke: What Protects Smokers from Parkinson's Disease? Mov Disord 2024; 39:267-272. [PMID: 38226487 PMCID: PMC10923097 DOI: 10.1002/mds.29707] [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: 08/23/2023] [Revised: 11/22/2023] [Accepted: 12/15/2023] [Indexed: 01/17/2024] Open
Abstract
The link between smoking and a lower risk of Parkinson's disease (PD) is one of the strongest environmental or lifestyle associations in neuroepidemiology. Growing evidence supports the hypothesis that the association is based on a neuroprotective effect of smoking on PD, despite the plausible alternative that smoking serves as a marker for a proximal protective influence without itself conferring benefit. But how smoking could protect against neurodegeneration in PD is not well understood. Of several candidate molecules and mechanisms that have been nominated, nicotine has received the most attention. However, randomized controlled clinical trials of nicotine in PD have failed to demonstrate benefit on motor endpoints, including the NIC-PD study in which recently diagnosed participants were randomly assigned to placebo or nicotine treatment for 1 year. Given these results, the time is right to evaluate the neuroprotective potential of other molecules and biochemical cascades triggered by smoking. Here, we review the evidence supporting smoking's possible protective effect on PD, compounds in tobacco and smoke that might mediate such benefit, and non-causal classes of explanation, including reverse causation and the prospect of shared genetic determinants of smoking and PD resistance. The therapeutic potential of non-nicotine components of smoke is suggested by studies supporting multiple alternative mechanisms ranging from monoamine oxidase inhibitors to gut microbiome disruption to antioxidant response induction by chronic exposure to low levels of carbon monoxide. Rigorous investigation is warranted to evaluate this molecule and others for disease-preventing and disease-modifying activity in PD models and, if warranted, in clinical trials. © 2024 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Kenneth N. Rose
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | | | - Stephen N. Gomperts
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
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Ben-Shlomo Y, Darweesh S, Llibre-Guerra J, Marras C, San Luciano M, Tanner C. The epidemiology of Parkinson's disease. Lancet 2024; 403:283-292. [PMID: 38245248 PMCID: PMC11123577 DOI: 10.1016/s0140-6736(23)01419-8] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 04/26/2023] [Accepted: 07/05/2023] [Indexed: 01/22/2024]
Abstract
The epidemiology of Parkinson's disease shows marked variations in time, geography, ethnicity, age, and sex. Internationally, prevalence has increased over and above demographic changes. There are several potential reasons for this increase, including the decline in other competing causes of death. Whether incidence is increasing, especially in women or in many low-income and middle-income countries where there is a shortage of high-quality data, is less certain. Parkinson's disease is more common in older people and men, and a variety of environmental factors have been suggested to explain why, including exposure to neurotoxic agents. Within countries, there appear to be ethnic differences in disease risk, although these differences might reflect differential access to health care. The cause of Parkinson's disease is multifactorial, and involves genetic and environmental factors. Both risk factors (eg, pesticides) and protective factors (eg, physical activity and tendency to smoke) have been postulated to have a role in Parkinson's disease, although elucidating causality is complicated by the long prodromal period. Following the establishment of public health strategies to prevent cardiovascular diseases and some cancers, chronic neurodegenerative diseases such as Parkinson's disease and dementia are gaining a deserved higher priority. Multipronged prevention strategies are required that tackle population-based primary prevention, high-risk targeted secondary prevention, and Parkinson's disease-modifying therapies for tertiary prevention. Future international collaborations will be required to triangulate evidence from basic, applied, and epidemiological research, thereby enhancing the understanding and prevention of Parkinson's disease at a global level.
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Affiliation(s)
- Yoav Ben-Shlomo
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
| | - Sirwan Darweesh
- Centre of Expertise for Parkinson and Movement Disorders, Department of Neurology, Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands
| | | | - Connie Marras
- The Edmond J Safra Program in Parkinson's Disease, Toronto Western Hospital, University of Toronto, Toronto, ON, Canada
| | - Marta San Luciano
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Caroline Tanner
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
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Schlueter DJ, Sulieman L, Mo H, Keaton JM, Ferrara TM, Williams A, Qian J, Stubblefield O, Zeng C, Tran TC, Bastarache L, Dai J, Babbar A, Ramirez A, Goleva SB, Denny JC. Systematic replication of smoking disease associations using survey responses and EHR data in the All of Us Research Program. J Am Med Inform Assoc 2023; 31:139-153. [PMID: 37885303 PMCID: PMC10746325 DOI: 10.1093/jamia/ocad205] [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: 01/06/2023] [Revised: 05/04/2023] [Accepted: 10/12/2023] [Indexed: 10/28/2023] Open
Abstract
OBJECTIVE The All of Us Research Program (All of Us) aims to recruit over a million participants to further precision medicine. Essential to the verification of biobanks is a replication of known associations to establish validity. Here, we evaluated how well All of Us data replicated known cigarette smoking associations. MATERIALS AND METHODS We defined smoking exposure as follows: (1) an EHR Smoking exposure that used International Classification of Disease codes; (2) participant provided information (PPI) Ever Smoking; and, (3) PPI Current Smoking, both from the lifestyle survey. We performed a phenome-wide association study (PheWAS) for each smoking exposure measurement type. For each, we compared the effect sizes derived from the PheWAS to published meta-analyses that studied cigarette smoking from PubMed. We defined two levels of replication of meta-analyses: (1) nominally replicated: which required agreement of direction of effect size, and (2) fully replicated: which required overlap of confidence intervals. RESULTS PheWASes with EHR Smoking, PPI Ever Smoking, and PPI Current Smoking revealed 736, 492, and 639 phenome-wide significant associations, respectively. We identified 165 meta-analyses representing 99 distinct phenotypes that could be matched to EHR phenotypes. At P < .05, 74 were nominally replicated and 55 were fully replicated. At P < 2.68 × 10-5 (Bonferroni threshold), 58 were nominally replicated and 40 were fully replicated. DISCUSSION Most phenotypes found in published meta-analyses associated with smoking were nominally replicated in All of Us. Both survey and EHR definitions for smoking produced similar results. CONCLUSION This study demonstrated the feasibility of studying common exposures using All of Us data.
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Affiliation(s)
- David J Schlueter
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
- Department of Health and Society, University of Toronto, Scarborough, Toronto, ON, Canada
| | - Lina Sulieman
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Huan Mo
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
- The Cohort Analytics Core (CAC), Center for Precision Health Research, National Human Genome Research Institute, Bethesda, MD, USA
| | - Jacob M Keaton
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Tracey M Ferrara
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Ariel Williams
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Jun Qian
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Onajia Stubblefield
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Chenjie Zeng
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Tam C Tran
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
- The Cohort Analytics Core (CAC), Center for Precision Health Research, National Human Genome Research Institute, Bethesda, MD, USA
| | - Lisa Bastarache
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Jian Dai
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Anav Babbar
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Andrea Ramirez
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Slavina B Goleva
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Joshua C Denny
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
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Caldas BT, Ribeiro FCV, Pereira JS, Souza WC, Lopes AJ, de Melo PL. Oscillometry of the respiratory system in Parkinson's disease: physiological changes and diagnostic use. BMC Pulm Med 2023; 23:406. [PMID: 37884922 PMCID: PMC10605979 DOI: 10.1186/s12890-023-02716-w] [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: 03/27/2023] [Accepted: 10/16/2023] [Indexed: 10/28/2023] Open
Abstract
BACKGROUND Lung function analysis in Parkinson's disease (PD) is often difficult due to the demand for adequate forced expiratory maneuvers. Respiratory oscillometry exams require onlyquiet tidal breathing and provide a detailed analysis of respiratory mechanics. We hypothesized that oscillometry would simplify the diagnosis of respiratory abnormalitiesin PD and improve our knowledge about the pathophysiological changes in these patients. MATERIALS AND METHODS This observational study includes 20 controls and 47 individuals with PD divided into three groups (Hoehn and Yahr Scale 1-1.5; H&Y scale 2-3 and PD smokers).The diagnostic accuracy was evaluated by investigating the area under the receiver operating characteristic curve (AUC). RESULTS Initial stages are related to increased peripheral resistance (Rp; p = 0.001). In more advanced stages, a restrictive pattern is added, reflected by reductions in dynamic compliance (p < 0.05) and increase in resonance frequency (Fr; p < 0.001). Smoking PD patients presented increased Rp (p < 0.001) and Fr (p < 0.01). PD does not introduce changes in the central airways. Oscillometric changes were correlated with respiratory muscle weakness (R = 0.37, p = 0.02). Rp showed adequate accuracy in the detection of early respiratory abnormalities (AUC = 0.858), while in more advanced stages, Fr showed high diagnostic accuracy (AUC = 0.948). The best parameter to identify changes in smoking patients was Rp (AUC = 0.896). CONCLUSION The initial stages of PD are related to a reduction in ventilation homogeneity associated with changes in peripheral airways. More advanced stages also include a restrictive ventilatory pattern. These changes were correlated with respiratory muscle weakness and were observed in mild and moderate stages of PD in smokers and non-smokers. Oscillometry may adequately identify respiratory changes in the early stages of PD and obtain high diagnostic accuracy in more advanced stages of the disease.
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Affiliation(s)
- Bruno Tavares Caldas
- Department of Physiological Sciences, Biomedical Instrumentation Laboratory, State University of Rio de Janeiro, Rio de Janeiro, Brazil
| | | | - João Santos Pereira
- Department of Neurology, Pedro Ernesto University Hospital, State University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Wilma Costa Souza
- Carioca Parkinson Association, Municipal Rehabilitation Center, Rio de Janeiro, Brazil
| | - Agnaldo José Lopes
- Department of Pulmonology, Respiratory Function Testing Laboratory, State University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Pedro Lopes de Melo
- Department of Physiological Sciences, Biomedical Instrumentation Laboratory, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
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10
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Fares MB, Alijevic O, Johne S, Overk C, Hashimoto M, Kondylis A, Adame A, Dulize R, Peric D, Nury C, Battey J, Guedj E, Sierro N, Mc Hugh D, Rockenstein E, Kim C, Rissman RA, Hoeng J, Peitsch MC, Masliah E, Mathis C. Nicotine-mediated effects in neuronal and mouse models of synucleinopathy. Front Neurosci 2023; 17:1239009. [PMID: 37719154 PMCID: PMC10501483 DOI: 10.3389/fnins.2023.1239009] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 08/08/2023] [Indexed: 09/19/2023] Open
Abstract
Introduction Alpha-synuclein (α-Syn) aggregation, transmission, and contribution to neurotoxicity represent central mechanisms underlying Parkinson's disease. The plant alkaloid "nicotine" was reported to attenuate α-Syn aggregation in different models, but its precise mode of action remains unclear. Methods In this study, we investigated the effect of 2-week chronic nicotine treatment on α-Syn aggregation, neuroinflammation, neurodegeneration, and motor deficits in D-line α-Syn transgenic mice. We also established a novel humanized neuronal model of α-Syn aggregation and toxicity based on treatment of dopaminergic neurons derived from human induced pluripotent stem cells (iPSC) with α-Syn preformed fibrils (PFF) and applied this model to investigate the effects of nicotine and other compounds and their modes of action. Results and discussion Overall, our results showed that nicotine attenuated α-Syn-provoked neuropathology in both models. Moreover, when investigating the role of nicotinic acetylcholine receptor (nAChR) signaling in nicotine's neuroprotective effects in iPSC-derived dopaminergic neurons, we observed that while α4-specific antagonists reduced the nicotine-induced calcium response, α4 agonists (e.g., AZD1446 and anatabine) mediated similar neuroprotective responses against α-Syn PFF-provoked neurodegeneration. Our results show that nicotine attenuates α-Syn-provoked neuropathology in vivo and in a humanized neuronal model of synucleinopathy and that activation of α4β2 nicotinic receptors might mediate these neuroprotective effects.
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Affiliation(s)
| | - Omar Alijevic
- PMI R&D, Philip Morris Products S.A., Neuchâtel, Switzerland
| | - Stephanie Johne
- PMI R&D, Philip Morris Products S.A., Neuchâtel, Switzerland
| | - Cassia Overk
- Department of Neurosciences, University of California, San Diego, San Diego, CA, United States
| | - Makoto Hashimoto
- Department of Neurosciences, University of California, San Diego, San Diego, CA, United States
| | | | - Anthony Adame
- Department of Neurosciences, University of California, San Diego, San Diego, CA, United States
| | - Remi Dulize
- PMI R&D, Philip Morris Products S.A., Neuchâtel, Switzerland
| | - Dariusz Peric
- PMI R&D, Philip Morris Products S.A., Neuchâtel, Switzerland
| | - Catherine Nury
- PMI R&D, Philip Morris Products S.A., Neuchâtel, Switzerland
| | - James Battey
- PMI R&D, Philip Morris Products S.A., Neuchâtel, Switzerland
| | - Emmanuel Guedj
- PMI R&D, Philip Morris Products S.A., Neuchâtel, Switzerland
| | - Nicolas Sierro
- PMI R&D, Philip Morris Products S.A., Neuchâtel, Switzerland
| | - Damian Mc Hugh
- PMI R&D, Philip Morris Products S.A., Neuchâtel, Switzerland
| | - Edward Rockenstein
- Department of Neurosciences, University of California, San Diego, San Diego, CA, United States
| | - Changyoun Kim
- Department of Neurosciences, University of California, San Diego, San Diego, CA, United States
| | - Robert A. Rissman
- Department of Neurosciences, University of California, San Diego, San Diego, CA, United States
| | - Julia Hoeng
- PMI R&D, Philip Morris Products S.A., Neuchâtel, Switzerland
| | | | - Eliezer Masliah
- Department of Neurosciences, University of California, San Diego, San Diego, CA, United States
| | - Carole Mathis
- PMI R&D, Philip Morris Products S.A., Neuchâtel, Switzerland
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11
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Lai JIC, Porcu A, Romoli B, Keisler M, Manfredsson FP, Powell SB, Dulcis D. Nicotine-Mediated Recruitment of GABAergic Neurons to a Dopaminergic Phenotype Attenuates Motor Deficits in an Alpha-Synuclein Parkinson's Model. Int J Mol Sci 2023; 24:4204. [PMID: 36835612 PMCID: PMC9960650 DOI: 10.3390/ijms24044204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 02/11/2023] [Accepted: 02/14/2023] [Indexed: 02/22/2023] Open
Abstract
Previous work revealed an inverse correlation between tobacco smoking and Parkinson's disease (PD) that is associated with nicotine-induced neuroprotection of dopaminergic (DA) neurons against nigrostriatal damage in PD primates and rodent models. Nicotine, a neuroactive component of tobacco, can directly alter the activity of midbrain DA neurons and induce non-DA neurons in the substantia nigra (SN) to acquire a DA phenotype. Here, we investigated the recruitment mechanism of nigrostriatal GABAergic neurons to express DA phenotypes, such as transcription factor Nurr1 and DA-synthesizing enzyme tyrosine hydroxylase (TH), and the concomitant effects on motor function. Wild-type and α-syn-overexpressing (PD) mice treated with chronic nicotine were assessed by behavioral pattern monitor (BPM) and immunohistochemistry/in situ hybridization to measure behavior and the translational/transcriptional regulation of neurotransmitter phenotype following selective Nurr1 overexpression or DREADD-mediated chemogenetic activation. We found that nicotine treatment led to a transcriptional TH and translational Nurr1 upregulation within a pool of SN GABAergic neurons in wild-type animals. In PD mice, nicotine increased Nurr1 expression, reduced the number of α-syn-expressing neurons, and simultaneously rescued motor deficits. Hyperactivation of GABA neurons alone was sufficient to elicit de novo translational upregulation of Nurr1. Retrograde labeling revealed that a fraction of these GABAergic neurons projects to the dorsal striatum. Finally, concomitant depolarization and Nurr1 overexpression within GABA neurons were sufficient to mimic nicotine-mediated dopamine plasticity. Revealing the mechanism of nicotine-induced DA plasticity protecting SN neurons against nigrostriatal damage could contribute to developing new strategies for neurotransmitter replacement in PD.
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Affiliation(s)
- Jessica IChi Lai
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA
| | - Alessandra Porcu
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA
- Department of Drug Discovery and Biomedical Sciences, University of South Carolina, Columbia, SC 29208, USA
| | - Benedetto Romoli
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA
| | - Maria Keisler
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA
| | | | - Susan B. Powell
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA
| | - Davide Dulcis
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA
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12
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Nicastro N, Nencha U, Burkhard PR, Garibotto V. Dopaminergic imaging in degenerative parkinsonisms, an established clinical diagnostic tool. J Neurochem 2023; 164:346-363. [PMID: 34935143 DOI: 10.1111/jnc.15561] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 12/10/2021] [Accepted: 12/13/2021] [Indexed: 11/29/2022]
Abstract
Parkinson's disease (PD) and other neurodegenerative parkinsonisms are characterised by loss of striatal dopaminergic neurons. Dopamine functional deficits can be measured in vivo using positron emission tomography (PET) and single-photon emission computed tomography (SPECT) ligands assessing either presynaptic (e.g. dopamine synthesis and storage, transporter density) or postsynaptic terminals (i.e. D2 receptors availability). Nuclear medicine imaging thus helps the clinician to separate degenerative forms of parkinsonism with other neurological conditions, e.g. essential tremor or drug-induced parkinsonism. With the present study, we aimed at summarizing the current evidence about dopaminergic molecular imaging in the diagnostic evaluation of PD, atypical parkinsonian syndromes and dementia with Lewy bodies (DLB), as well as its potential to distinguish these conditions and to estimate disease progression. In fact, PET/SPECT methods are clinically validated and have been increasingly integrated into diagnostic guidelines (e.g. for PD and DLB). In addition, there is novel evidence on the classification properties of extrastriatal signal. Finally, dopamine imaging has an outstanding potential to detect neurodegeneration at the premotor stage, including REM-sleep behavior disorder and olfactory loss. Therefore, inclusion of subjects at an early stage for clinical trials can largely benefit from a validated in vivo biomarker such as presynaptic dopamine pathways PET/SPECT assessment.
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Affiliation(s)
- Nicolas Nicastro
- Division of Neurorehabilitation, Department of Clinical Neurosciences, Geneva University Hospitals, Geneva, Switzerland.,Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Umberto Nencha
- Division of Neurology, Department of Clinical Neurosciences, Geneva University Hospitals, Geneva, Switzerland
| | - Pierre R Burkhard
- Faculty of Medicine, University of Geneva, Geneva, Switzerland.,Division of Neurology, Department of Clinical Neurosciences, Geneva University Hospitals, Geneva, Switzerland
| | - Valentina Garibotto
- Faculty of Medicine, University of Geneva, Geneva, Switzerland.,Division of Nuclear Medicine and Molecular Imaging, Diagnostic Department, Geneva University Hospitals, Geneva, Switzerland
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13
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Kolicheski A, Turcano P, Tamvaka N, McLean PJ, Springer W, Savica R, Ross OA. Early-Onset Parkinson's Disease: Creating the Right Environment for a Genetic Disorder. JOURNAL OF PARKINSON'S DISEASE 2022; 12:2353-2367. [PMID: 36502340 PMCID: PMC9837689 DOI: 10.3233/jpd-223380] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Parkinson's disease (PD) by its common understanding is a late-onset sporadic movement disorder. However, there is a need to recognize not only the fact that PD pathogenesis expands beyond (or perhaps to) the brain but also that many early-onset patients develop motor signs before the age of 50 years. Indeed, studies have shown that it is likely the protein aggregation observed in the brains of patients with PD precedes the motor symptoms by perhaps a decade. Studies on early-onset forms of PD have shown it to be a heterogeneous disease with multiple genetic and environmental factors determining risk of different forms of disease. Genetic and neuropathological evidence suggests that there are α-synuclein centric forms (e.g., SNCA genomic triplication), and forms that are driven by a breakdown in mitochondrial function and specifically in the process of mitophagy and clearance of damaged mitochondria (e.g., PARKIN and PINK1 recessive loss-of-function mutations). Aligning genetic forms with recognized environmental influences will help better define patients, aid prognosis, and hopefully lead to more accurately targeted clinical trial design. Work is now needed to understand the cross-talk between these two pathomechanisms and determine a sense of independence, it is noted that autopsies studies for both have shown the presence or absence of α-synuclein aggregation. The integration of genetic and environmental data is critical to understand the etiology of early-onset forms of PD and determine how the different pathomechanisms crosstalk.
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Affiliation(s)
- Ana Kolicheski
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - Pierpaolo Turcano
- Department of Neurology, Mayo Clinic, Jacksonville, FL, USA,
Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Nicole Tamvaka
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA,
Mayo Graduate School, Neuroscience Track, Mayo Clinic, Jacksonville, FL, USA
| | - Pamela J. McLean
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA,
Mayo Graduate School, Neuroscience Track, Mayo Clinic, Jacksonville, FL, USA
| | - Wolfdieter Springer
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA,
Mayo Graduate School, Neuroscience Track, Mayo Clinic, Jacksonville, FL, USA
| | - Rodolfo Savica
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Owen A. Ross
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA,
Mayo Graduate School, Neuroscience Track, Mayo Clinic, Jacksonville, FL, USA,
Department of Medicine, University College Dublin, Dublin, Ireland,
Department of Clinical Genomics, Mayo Clinic, Jacksonville, FL, USA,Department of Biology, University of NorthFlorida, Jacksonville, FL, USA,Correspondence to: Owen A. Ross, PhD, Department of Neuroscience, Mayo Clinic Jacksonville, 4500 San Pablo Road, Jacksonville, FL 32224, USA. Tel.: +1 904 953 6280; Fax: +1 904 953 7370; E-mail:
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14
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Blagov AV, Goncharov AG, Babich OO, Larina VV, Orekhov AN, Melnichenko AA. Prospects for the Development of Pink1 and Parkin Activators for the Treatment of Parkinson's Disease. Pharmaceutics 2022; 14:pharmaceutics14112514. [PMID: 36432705 PMCID: PMC9696222 DOI: 10.3390/pharmaceutics14112514] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 11/03/2022] [Accepted: 11/16/2022] [Indexed: 11/22/2022] Open
Abstract
Impaired mitophagy is one of the hallmarks of the pathogenesis of Parkinson's disease, which highlights the importance of the proper functioning of mitochondria, as well as the processes of mitochondrial dynamics for the functioning of dopaminergic neurons. At the same time, the main factors leading to disruption of mitophagy in Parkinson's disease are mutations in the Pink1 and Parkin enzymes. Based on the characterized mutant forms, the marked cellular localization, and the level of expression in neurons, these proteins can be considered promising targets for the development of drugs for Parkinson's therapy. This review will consider such class of drug compounds as mitophagy activators and these drugs in the treatment of Parkinson's disease.
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Affiliation(s)
- Alexander V. Blagov
- Laboratory of Angiopathology, Institute of General Pathology and Pathophysiology, 8 Baltiiskaya Street, 125315 Moscow, Russia
- Correspondence: (A.V.B.); (A.N.O.)
| | - Andrey G. Goncharov
- Center for Immunology and Cellular Biotechnology, Immanuel Kant Baltic Federal University, 6 Gaidara Street, 236001 Kaliningrad, Russia
| | - Olga O. Babich
- Scientific and Educational Center for Industrial Biotechnology, Immanuel Kant Baltic Federal University, 2 Universitetskaya Street, 236040 Kaliningrad, Russia
| | - Viktoriya V. Larina
- Scientific and Educational Center for Industrial Biotechnology, Immanuel Kant Baltic Federal University, 2 Universitetskaya Street, 236040 Kaliningrad, Russia
| | - Alexander N. Orekhov
- Laboratory of Angiopathology, Institute of General Pathology and Pathophysiology, 8 Baltiiskaya Street, 125315 Moscow, Russia
- Correspondence: (A.V.B.); (A.N.O.)
| | - Alexandra A. Melnichenko
- Laboratory of Angiopathology, Institute of General Pathology and Pathophysiology, 8 Baltiiskaya Street, 125315 Moscow, Russia
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15
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Tansey MG, Wallings RL, Houser MC, Herrick MK, Keating CE, Joers V. Inflammation and immune dysfunction in Parkinson disease. Nat Rev Immunol 2022; 22:657-673. [PMID: 35246670 PMCID: PMC8895080 DOI: 10.1038/s41577-022-00684-6] [Citation(s) in RCA: 397] [Impact Index Per Article: 198.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/24/2022] [Indexed: 01/18/2023]
Abstract
Parkinson disease (PD) is a progressive neurodegenerative disease that affects peripheral organs as well as the central nervous system and involves a fundamental role of neuroinflammation in its pathophysiology. Neurohistological and neuroimaging studies support the presence of ongoing and end-stage neuroinflammatory processes in PD. Moreover, numerous studies of peripheral blood and cerebrospinal fluid from patients with PD suggest alterations in markers of inflammation and immune cell populations that could initiate or exacerbate neuroinflammation and perpetuate the neurodegenerative process. A number of disease genes and risk factors have been identified as modulators of immune function in PD and evidence is mounting for a role of viral or bacterial exposure, pesticides and alterations in gut microbiota in disease pathogenesis. This has led to the hypothesis that complex gene-by-environment interactions combine with an ageing immune system to create the 'perfect storm' that enables the development and progression of PD. We discuss the evidence for this hypothesis and opportunities to harness the emerging immunological knowledge from patients with PD to create better preclinical models with the long-term goal of enabling earlier identification of at-risk individuals to prevent, delay and more effectively treat the disease.
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Affiliation(s)
- Malú Gámez Tansey
- Department of Neuroscience, Center for Translational Research in Neurodegenerative Disease, University of Florida College of Medicine, Gainesville, FL, USA.
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, FL, USA.
| | - Rebecca L Wallings
- Department of Neuroscience, Center for Translational Research in Neurodegenerative Disease, University of Florida College of Medicine, Gainesville, FL, USA
| | - Madelyn C Houser
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA
| | - Mary K Herrick
- Department of Neuroscience, Center for Translational Research in Neurodegenerative Disease, University of Florida College of Medicine, Gainesville, FL, USA
| | - Cody E Keating
- Department of Neuroscience, Center for Translational Research in Neurodegenerative Disease, University of Florida College of Medicine, Gainesville, FL, USA
| | - Valerie Joers
- Department of Neuroscience, Center for Translational Research in Neurodegenerative Disease, University of Florida College of Medicine, Gainesville, FL, USA
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16
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Priya M, Zochedh A, Arumugam K, Sultan AB. Quantum Chemical Investigation, Drug-Likeness and Molecular Docking Studies on Galangin as Alpha-Synuclein Regulator for the Treatment of Parkinson’s Disease. CHEMISTRY AFRICA 2022. [DOI: 10.1007/s42250-022-00508-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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17
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Mukong AK. Estimating the Health Effect of Cigarette Smoking Duration in South Africa. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:13005. [PMID: 36293583 PMCID: PMC9602002 DOI: 10.3390/ijerph192013005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 10/03/2022] [Accepted: 10/06/2022] [Indexed: 06/16/2023]
Abstract
This paper deepens the empirical analysis of the health effects of smoking by using the average treatment effect on the treated (ATET) and regression discontinuity design (RDD) to estimate the impact of smoking duration on health. The paper estimates the effect of cigarette smoking on health, that is, the exogenous increase in the probability of smoking-related ill health when individuals smoke up to a certain number of years. Using the National Income Dynamic survey (NIDS), the study finds that the probability of reporting poor health and/or suffering smoking-related diseases increases with the years of smoking. The magnitude of the effect is higher when smoking-related diseases rather than self-assessed health is considered but varies across time, socioeconomic status, and with different health outcomes. The effects are robust under several different parametric and non-parametric models. Using RDD, the paper also finds evidence of a discrete jump in poor health when individuals smoke up to 30 years. The results suggest that policies that are designed to reduce current levels of cigarette smoking may have a desirable impact and can create both current and future public health benefits.
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Affiliation(s)
- Alfred Kechia Mukong
- Department of Economics, University of Namibia, Private Bag 13301, Windhoek 13301, Namibia
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18
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Nicotine Has a Therapeutic Window of Effectiveness in a Drosophila melanogaster Model of Parkinson’s Disease. PARKINSON'S DISEASE 2022; 2022:9291077. [PMID: 35844833 PMCID: PMC9286976 DOI: 10.1155/2022/9291077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 05/03/2022] [Accepted: 05/06/2022] [Indexed: 11/17/2022]
Abstract
Strong epidemiological evidence and studies in models of Parkinson's disease (PD) suggest that nicotine may be therapeutically beneficial in PD patients. However, a number of clinical trials utilizing nicotine in PD patients have had mixed results, indicating that either nicotine is not beneficial in PD patients, or an important aspect of nicotine therapy was absent. We hypothesized that nicotine must be administered early in the adult fly life in order to have beneficial effects. We show that continuous early nicotine administration improves both climbing and flight deficiencies present in homozygous park25 mutant PD model Drosophila melanogaster. Using a new climbing assay, we identify several climbing deficiencies in this PD model that are improved or rescued by continuous nicotine treatment. Amongst these benefits, it appears that nicotine improves the ability of the park25 flies to descend the climbing vial by being able to climb down more. In support of our hypothesis, we show that in order for nicotine benefits on climbing and flight to happen, nicotine administration must occur in a discrete time frame following adult fly eclosure: within one day for climbing or five days for flight. This therapeutic window of nicotine administration in this PD model fly may help to explain the lack of efficacy of nicotine in human clinical trials.
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19
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Reichmann H, Csoti I, Koschel J, Lorenzl S, Schrader C, Winkler J, Wüllner U. Life style and Parkinson's disease. J Neural Transm (Vienna) 2022; 129:1235-1245. [PMID: 35606622 PMCID: PMC9463300 DOI: 10.1007/s00702-022-02509-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 04/27/2022] [Indexed: 11/26/2022]
Abstract
The question whether life style may impair the advent or course of the disease in patients with Parkinsonism is of great importance for patients and physicians alike. We present here comprehensive information on the influence of the environment, diet (especially caffeine, nicotine, alcohol, chocolate and dairy products), physical activity and sleep on risk and course of Parkinson’s disease.
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Affiliation(s)
- Heinz Reichmann
- Department of Neurology, University Hospital Dresden, Fetscherstrasse 74, 01307, Dresden, Germany.
| | - Ilona Csoti
- Fachklinik für Parkinson, Gertrudis Klinik Biskirchen, Karl-Ferdinand-Broll-Straße 2-4, 35638, Leun-Biskirchen, Germany
| | - Jiri Koschel
- Parkinson-Klinik, Ortenau GmbH & Co. KG, Kreuzbergstraße 12-16, 77709, Wolfach, Germany
| | - Stefan Lorenzl
- Neurologie und Palliative Care, Krankenhaus Agatharied, Norbert-Kerkel-Platz, 83734, Hausham, Germany
| | - Christoph Schrader
- Neurologische Klinik mit Klinischer Neurophysiologie OE 7210, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
| | - Juergen Winkler
- Zentrum für Bewegungserkrankungen, Molekulare Neurologie, Universitätsklinikum Erlangen, Schwabachanlage 6, 91054, Erlangen, Germany
| | - Ullrich Wüllner
- Department of Neurology, University Clinic Bonn and German Center for Neurodegenerative Diseases (DZNE), 53127, Bonn, Germany
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20
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A Review of Diagnostic Imaging Approaches to Assessing Parkinson's Disease. BRAIN DISORDERS 2022. [DOI: 10.1016/j.dscb.2022.100037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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21
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Lee JYS, Ng JH, Saffari SE, Tan EK. Parkinson's disease and cancer: a systematic review and meta-analysis on the influence of lifestyle habits, genetic variants, and gender. Aging (Albany NY) 2022; 14:2148-2173. [PMID: 35247252 PMCID: PMC8954974 DOI: 10.18632/aging.203932] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Accepted: 02/15/2022] [Indexed: 12/09/2022]
Abstract
PURPOSE The relationship between Parkinson's disease (PD) and cancer has been debated. Gender and genetic influences on cancer development in PD is unclear. METHODS Using QUOROM guidelines, we conducted a systematic review and meta-analysis on potential clinical and genetic factors influencing the PD and subsequent cancer relationship. English articles published in PubMed, Web of Science, and SCOPUS from 2010 to 30 August 2020 were considered for suitability. RESULTS Of 46 studies identified, fourteen satisfied the inclusion criteria and were further analysed. Unadjusted risk ratios (RR) and 95% confidence intervals were computed to determine the PD and cancer relationship. PD patients have decreased subsequent cancer risks (RR = 0.87, 95% CI = 0.81-0.93), reduced risks of colon, rectal, and colorectal cancer (RR = 0.77, 95% CI = 0.63-0.94), lung cancer (RR = 0.62, 95% CI = 0.48-0.80), and increased brain cancer (R = 1.48, 95% CI = 1.02-2.13) and melanoma risk (R = 1.76, 95% CI = 1.23-2.50). Compared to idiopathic PD, LRRK2-G2019S carriers had increased general cancer risks (RR = 1.26, 95% CI = 1.09-1.46), particularly brain (RR = 2.41, 95% CI = 1.06-5.50), breast (RR = 2.57, 95% CI = 1.19-5.58), colon (RR = 1.83, 95% CI = 1.13-2.99), and haematological cancers (RR = 2.05, 95% CI = 1.07-3.92). Female PD patients have decreased general cancer risks compared to male PD patients in this analysis (RR = 0.83, 95% CI = 0.69-0.98). CONCLUSION PD patients have reduced risks of colon, rectal, colorectal cancer and lung cancers and increased risks of brain cancer and melanoma. LRRK2-G2019S carriers have increased cancer risks, particularly brain, breast, colon and blood cancers. Female gender was associated with reduced risks. The role of ethnicity, comorbidities, and lifestyle habits on PD patients' subsequent cancer risk should be further investigated.
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Affiliation(s)
- Joon Yan Selene Lee
- Department of Neuroscience and Behavioural Disorders Programme, Duke-NUS Medical School, Singapore
| | - Jing Han Ng
- Department of Neurology, National Neuroscience Institute, Singapore
| | - Seyed Ehsan Saffari
- Department of Neuroscience and Behavioural Disorders Programme, Duke-NUS Medical School, Singapore.,Department of Neurology, National Neuroscience Institute, Singapore
| | - Eng-King Tan
- Department of Neuroscience and Behavioural Disorders Programme, Duke-NUS Medical School, Singapore.,Department of Neurology, National Neuroscience Institute, Singapore
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22
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Sundbøll J, Szépligeti SK, Szentkúti P, Adelborg K, Horváth-Puhó E, Pedersen L, Henderson VW, Sørensen HT. Risk of Parkinson Disease and Secondary Parkinsonism in Myocardial Infarction Survivors. J Am Heart Assoc 2022; 11:e022768. [PMID: 35170978 PMCID: PMC9075091 DOI: 10.1161/jaha.121.022768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background In addition to primary neurodegenerative processes, vascular disorders, such as stroke, can lead to parkinsonism. However, some cardiovascular risk factors, such as smoking and elevated cholesterol levels, are associated with reduced risk of Parkinson disease. We examined the risk of Parkinson disease and secondary parkinsonism in 1‐year survivors of myocardial infarction (MI). Methods and Results We conducted a nationwide population‐based matched cohort study using Danish medical registries from 1995 to 2016. We identified all patients with a first‐time MI diagnosis and sampled a sex‐, age‐, and calendar year–matched general population comparison cohort without MI. Cox regression analysis was used to compute adjusted hazard ratios (aHRs) for Parkinson disease and secondary parkinsonism, controlled for matching factors and adjusted for relevant comorbidities and socioeconomic factors. We identified 181 994 patients with MI and 909 970 matched comparison cohort members (median age, 71 years; 62% men). After 21 years of follow‐up, the cumulative incidence was 0.9% for Parkinson disease and 0.1% for secondary parkinsonism in the MI cohort. Compared with the general population cohort, MI was associated with a decreased risk of Parkinson disease (aHR, 0.80; 95% CI, 0.73–0.87) and secondary parkinsonism (aHR, 0.72; 95% CI, 0.54–0.94). Conclusions MI was associated with a 20% decreased risk of Parkinson disease and 28% decreased risk of secondary parkinsonism. Reduced risk may reflect an inverse relationship between cardiovascular risk factors and Parkinson disease.
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Affiliation(s)
- Jens Sundbøll
- Department of Clinical Epidemiology Aarhus University Hospital Aarhus Denmark.,Department of Cardiology Aarhus University Hospital Aarhus Denmark
| | | | - Péter Szentkúti
- Department of Clinical Epidemiology Aarhus University Hospital Aarhus Denmark
| | - Kasper Adelborg
- Department of Clinical Epidemiology Aarhus University Hospital Aarhus Denmark
| | | | - Lars Pedersen
- Department of Clinical Epidemiology Aarhus University Hospital Aarhus Denmark
| | - Victor W Henderson
- Department of Clinical Epidemiology Aarhus University Hospital Aarhus Denmark.,Departments of Epidemiology and Population Health Stanford University Stanford CA.,Departments of Neurology and Neurological Sciences Stanford University Stanford CA
| | - Henrik Toft Sørensen
- Department of Clinical Epidemiology Aarhus University Hospital Aarhus Denmark.,Departments of Epidemiology and Population Health Stanford University Stanford CA.,Departments of Neurology and Neurological Sciences Stanford University Stanford CA
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23
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Onaolapo OJ, Odeniyi AO, Onaolapo AY. Parkinson's Disease: Is there a Role for Dietary and Herbal Supplements? CNS & NEUROLOGICAL DISORDERS DRUG TARGETS 2022; 20:343-365. [PMID: 33602107 DOI: 10.2174/1871527320666210218082954] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 09/19/2020] [Accepted: 09/29/2020] [Indexed: 12/18/2022]
Abstract
Parkinson's Disease (PD) is characterised by degeneration of the neurons of the nigrostriatal dopaminergic pathway of the brain. The pharmacological cornerstone of PD management is mainly the use of dopamine precursors, dopamine receptor agonists, and agents that inhibit the biochemical degradation of dopamine. While these drugs initially provide relief to the symptoms and improve the quality of life of the patients, progression of the underlying pathological processes, such as oxidative stress and neuroinflammation (which have been strongly associated with PD and other neurodegenerative disorders), eventually reduce their benefits, making further benefits achievable, only at high doses due to which the magnitude and frequency of side-effects are amplified. Also, while it is becoming obvious that mainstream pharmacological agents may not always provide the much-needed answer, the question remains what succour can nature provide through dietary supplements, nutraceuticals and herbal remedies? This narrative review examines current literature for evidence of the possible roles (if any) of nutraceuticals, dietary supplements and herbal remedies in the prevention or management of PD by examining how these compounds could modulate key factors and pathways that are crucial to the pathogenesis and/or progression of PD. The likely limitations of this approach and its possible future roles in PD prevention and management are also considered.
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Affiliation(s)
- Olakunle J Onaolapo
- Behavioural Neuroscience Unit, Neuropharmacology Subdivision, Department of Pharmacology, Ladoke Akintola University of Technology, Osogbo, Osun State, Nigeria
| | - Ademola O Odeniyi
- Behavioural Neuroscience Unit, Neuropharmacology Subdivision, Department of Pharmacology, Ladoke Akintola University of Technology, Osogbo, Osun State, Nigeria
| | - Adejoke Y Onaolapo
- Behavioural Neuroscience Unit, Neurobiology Subdivision, Department of Anatomy, Ladoke Akintola University of Technology, Ogbomosho, Oyo State, Nigeria
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24
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Taguchi K, Iwaoka K, Yamaguchi T, Nozaki R, Sato Y, Terauchi T, Suzuki Y, Takahashi K, Takahashi K, Akasaka H, Ishizuka N, Maeda T. A cross-sectional study of Parkinson’s disease and the prodromal phase in community-dwelling older adults in eastern Japan. Clin Park Relat Disord 2022; 7:100147. [PMID: 35647516 PMCID: PMC9136122 DOI: 10.1016/j.prdoa.2022.100147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 04/29/2022] [Accepted: 05/18/2022] [Indexed: 11/22/2022] Open
Abstract
This study aimed to clarify the recent prevalence rate of PD and prodromal PD. (78/85). Questionnaire-based approach was conducted to investigate prodromal PD. (71/85). 714 community-dwelling older adults aged 65 or more were enrolled. (66/85). Prevalence rate of PD was 279.7 per 100,000 in this study. (58/85). Prevalence rate and probability of prodromal PD were 5034.5 and 0.057. (70/85).
Introduction Parkinson’s disease (PD) is more prevalent in the aging population, and epidemiological evidence must be constantly updated to provide an accurate understanding of PD prevalence. Various nonmotor symptoms of PD precede the onset of motor symptoms and prodromal PD. The detection of such symptoms is crucial yet remains challenging. In this study, we aimed to clarify the current prevalence of PD and prodromal PD. Methods We enrolled 714 community-dwelling older adults (330 men and 384 women) aged ≥ 65 years (mean age 76.3 years). We used a self-administered questionnaire based on the International Parkinson and Movement Disorder Society prodromal PD criteria to obtain information on prodromes and calculate PD probability. Patients with a probability of ≥ 0.3 were considered as having prodromal PD. We analyzed the crude prevalence rates of PD and prodromal PD. Results The crude prevalence rate of PD in our sample was 279.7 per 100,000 persons. The crude prevalence rate of prodromal PD and PD probability were 5034.5 per 100,000 persons and 0.057 ± 0.121, respectively. Never smoker (61.4%), physical inactivity (47.0%), regular pesticide exposure (30.7%), and urinary dysfunction (26.5%) were frequent positive prodromes. Subjects with higher PD probability possessed more variable prodromal markers than those with lower probability. Conclusion We examined current prevalence rates of PD and prodromal PD in community-dwelling older adults aged ≥ 65 years in Japan. Our questionnaire-based approach to examine prodromal PD provided valuable evidence for the prevalence of prodromal PD in the aging population.
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25
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Lo R. Epidemiology of atypical parkinsonian syndromes. Tzu Chi Med J 2022; 34:169-181. [PMID: 35465274 PMCID: PMC9020244 DOI: 10.4103/tcmj.tcmj_218_20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 09/10/2020] [Accepted: 09/15/2020] [Indexed: 11/04/2022] Open
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26
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Gebreegziabher EA, Oldenburg CE, Shiboski SC, Baer AN, Jordan RC, Rose‐Nussbaumer JR, Bunya VY, Akpek EK, Criswell LA, Shiboski CH, Lietman TM, Gonzales JA. Associations Between Smoking and Primary Sjögren Syndrome Classification Using the Sjögren's International Collaborative Clinical Alliance Cohort. ACR Open Rheumatol 2021; 4:231-237. [PMID: 34889071 PMCID: PMC8916552 DOI: 10.1002/acr2.11362] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 08/11/2021] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE The objective of this study was to examine the association of smoking with Primary Sjögren syndrome (pSS) classification and pSS diagnostic test results. We hypothesized that past and current smokers would have lower odds of being classified as having Sjögren syndrome (SS) and lower odds of having abnormal individual SS diagnostic test results compared with nonsmokers. METHODS Participants with suspected or established pSS were enrolled into the Sjögren's International Collaborative Clinical Alliance (SICCA) registry and had oral, ocular, and rheumatologic examinations performed; blood and saliva samples collected; and labial salivary gland biopsy examinations performed; they also completed questionnaires at baseline. Logistic regression was used to determine whether smoking status was associated with pSS classification and individual pSS diagnostic test results. RESULTS A total of 3514 participants were enrolled in SICCA. A total of 1541 (52.9%) met classification criteria for pSS. Compared with never smokers, current smokers had reduced odds of being classified as having pSS, reduced odds of having a focus score ≥ 1 and serologic positivity for anti-SSA/anti-SSB antibodies, and lower odds of having abnormal signs or test results of dry eye disease. Compared with never smokers, past smokers did not have a statistically significant reduction in odds of being classified as having pSS and of having abnormal individual pSS diagnostic test results. CONCLUSION Compared with never smokers, current smokers in the SICCA cohort had lower odds of being classified as having pSS, lower odds of exhibiting abnormal signs and test results for dry eye disease, and lower odds of having a labial salivary gland biopsy supportive of pSS classification. Such negative associations, however, do not suggest that current smoking is of any benefit with respect to pSS.
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27
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Cocoros NM, Svensson E, Szépligeti SK, Vestergaard SV, Szentkúti P, Thomsen RW, Borghammer P, Sørensen HT, Henderson VW. Long-term Risk of Parkinson Disease Following Influenza and Other Infections. JAMA Neurol 2021; 78:1461-1470. [PMID: 34694344 DOI: 10.1001/jamaneurol.2021.3895] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Importance Influenza has been associated with the risk of developing Parkinson disease, but the association is controversial. Objective To examine whether prior influenza and other infections are associated with Parkinson disease more than 10 years after infection. Design, Setting, and Participants This case-control study used data from 1977 to 2016 from the Danish National Patient Registry. All individuals with Parkinson disease, excluding those with drug-induced parkinsonism, were included and matched to 5 population controls on sex, age, and date of Parkinson diagnosis. Data were analyzed from December 2019 to September 2021. Exposures Infections were ascertained between 1977 and 2016 and categorized by time from infection to Parkinson disease diagnosis. To increase specificity of influenza diagnoses, influenza exposure was restricted to months of peak influenza activity. Main Outcomes and Measures Parkinson disease diagnoses were identified between January 1, 2000, and December 31, 2016. Crude and adjusted odds ratios (ORs) and 95% CIs were calculated by conditional logistic regression overall and stratified by time between infection and Parkinson disease (5 years or less, more than 5 to 10 years, more than 10 years). Results Of 61 626 included individuals, 23 826 (38.7%) were female, and 53 202 (86.3%) were older than 60 years. A total of 10 271 individuals with Parkinson disease and 51 355 controls were identified. Influenza diagnosed at any time during a calendar year was associated with Parkinson disease more than 10 years later (OR, 1.73; 95% CI, 1.11-2.71). When influenza exposure was restricted to months of highest influenza activity, an elevated OR with a wider confidence interval was found (OR, 1.52; 95% CI, 0.80-2.89). There was no evidence of an association with any type of infection more than 10 years prior to Parkinson disease (OR, 1.04; 95% CI, 0.98-1.10). Several specific infections yielded increased odds of Parkinson disease within 5 years of infection, but results were null when exposure occurred more than 10 years prior. Conclusions and Relevance In this case-control study, influenza was associated with diagnoses of Parkinson disease more than 10 years after infection. These observational data suggest a link between influenza and Parkinson disease but do not demonstrate causality. While other infections were associated with Parkinson disease diagnoses soon after infection, null associations after more than 10 years suggest these shorter-term associations are not causal.
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Affiliation(s)
- Noelle M Cocoros
- Department of Population Medicine at Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Elisabeth Svensson
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark.,The Danish Clinical Quality Program, National Clinical Registries, Aarhus, Denmark
| | | | - Søren Viborg Vestergaard
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Péter Szentkúti
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Reimar W Thomsen
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Per Borghammer
- Department of Nuclear Medicine and PET, Aarhus University Hospital, Aarhus, Denmark
| | - Henrik Toft Sørensen
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark.,Clinical Excellence Research Center, Stanford University, Stanford, California
| | - Victor W Henderson
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark.,Department of Epidemiology and Population Health, Stanford University, Stanford, California.,Department of Neurology and Neurological Sciences, Stanford University, Stanford, California
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28
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Domenighetti C, Sugier PE, Sreelatha AAK, Schulte C, Grover S, Mohamed O, Portugal B, May P, Bobbili DR, Radivojkov-Blagojevic M, Lichtner P, Singleton AB, Hernandez DG, Edsall C, Mellick GD, Zimprich A, Pirker W, Rogaeva E, Lang AE, Koks S, Taba P, Lesage S, Brice A, Corvol JC, Chartier-Harlin MC, Mutez E, Brockmann K, Deutschländer AB, Hadjigeorgiou GM, Dardiotis E, Stefanis L, Simitsi AM, Valente EM, Petrucci S, Duga S, Straniero L, Zecchinelli A, Pezzoli G, Brighina L, Ferrarese C, Annesi G, Quattrone A, Gagliardi M, Matsuo H, Kawamura Y, Hattori N, Nishioka K, Chung SJ, Kim YJ, Kolber P, van de Warrenburg BP, Bloem BR, Aasly J, Toft M, Pihlstrøm L, Guedes LC, Ferreira JJ, Bardien S, Carr J, Tolosa E, Ezquerra M, Pastor P, Diez-Fairen M, Wirdefeldt K, Pedersen NL, Ran C, Belin AC, Puschmann A, Hellberg C, Clarke CE, Morrison KE, Tan M, Krainc D, Burbulla LF, Farrer MJ, Krüger R, Gasser T, Sharma M, Elbaz A. Mendelian Randomisation Study of Smoking, Alcohol, and Coffee Drinking in Relation to Parkinson's Disease. JOURNAL OF PARKINSONS DISEASE 2021; 12:267-282. [PMID: 34633332 DOI: 10.3233/jpd-212851] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND Previous studies showed that lifestyle behaviors (cigarette smoking, alcohol, coffee) are inversely associated with Parkinson's disease (PD). The prodromal phase of PD raises the possibility that these associations may be explained by reverse causation. OBJECTIVE To examine associations of lifestyle behaviors with PD using two-sample Mendelian randomisation (MR) and the potential for survival and incidence-prevalence biases. METHODS We used summary statistics from publicly available studies to estimate the association of genetic polymorphisms with lifestyle behaviors, and from Courage-PD (7,369 cases, 7,018 controls; European ancestry) to estimate the association of these variants with PD. We used the inverse-variance weighted method to compute odds ratios (ORIVW) of PD and 95%confidence intervals (CI). Significance was determined using a Bonferroni-corrected significance threshold (p = 0.017). RESULTS We found a significant inverse association between smoking initiation and PD (ORIVW per 1-SD increase in the prevalence of ever smoking = 0.74, 95%CI = 0.60-0.93, p = 0.009) without significant directional pleiotropy. Associations in participants ≤67 years old and cases with disease duration ≤7 years were of a similar size. No significant associations were observed for alcohol and coffee drinking. In reverse MR, genetic liability toward PD was not associated with smoking or coffee drinking but was positively associated with alcohol drinking. CONCLUSION Our findings are in favor of an inverse association between smoking and PD that is not explained by reverse causation, confounding, and survival or incidence-prevalence biases. Genetic liability toward PD was positively associated with alcohol drinking. Conclusions on the association of alcohol and coffee drinking with PD are hampered by insufficient statistical power.
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Affiliation(s)
- Cloé Domenighetti
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm, Team "Exposome, heredity, cancer and health", CESP, Villejuif, France
| | - Pierre-Emmanuel Sugier
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm, Team "Exposome, heredity, cancer and health", CESP, Villejuif, France
| | - Ashwin Ashok Kumar Sreelatha
- Centre for Genetic Epidemiology, Institute for Clinical Epidemiology and Applied Biometry, University of Tubingen, Germany
| | - Claudia Schulte
- Department for Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research, University of Tubingen, Germany.,German Center for Neurodegenerative Diseases (DZNE), Tubingen, Germany
| | - Sandeep Grover
- Centre for Genetic Epidemiology, Institute for Clinical Epidemiology and Applied Biometry, University of Tubingen, Germany
| | - Océane Mohamed
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm, Team "Exposome, heredity, cancer and health", CESP, Villejuif, France
| | - Berta Portugal
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm, Team "Exposome, heredity, cancer and health", CESP, Villejuif, France
| | - Patrick May
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-Belval, Luxembourg
| | - Dheeraj R Bobbili
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-Belval, Luxembourg.,MeGeno S.A, Esch-sur-Alzette, Luxembourg
| | | | - Peter Lichtner
- Institute of Human Genetics, Helmholtz Zentrum München, Neuherberg, Germany
| | - Andrew B Singleton
- Molecular Genetics Section, Laboratory of Neurogenetics, NIA, NIH, Bethesda, MD, USA.,Center For Alzheimer's and Related Dementias, NIA, NIH, Bethesda, MD, USA
| | - Dena G Hernandez
- Molecular Genetics Section, Laboratory of Neurogenetics, NIA, NIH, Bethesda, MD, USA
| | - Connor Edsall
- Molecular Genetics Section, Laboratory of Neurogenetics, NIA, NIH, Bethesda, MD, USA
| | - George D Mellick
- Griffith Institute for Drug Discovery, Griffith University, Don Young Road, Nathan, Queensland, Australia
| | | | | | - Ekaterina Rogaeva
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
| | - Anthony E Lang
- Edmond J. Safra Program in Parkinson's Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, UHN, Toronto, Ontario, Canada.,Division of Neurology, University of Toronto, Toronto, Ontario, Canada.,Krembil Brain Institute, Toronto, Ontario, Canada
| | - Sulev Koks
- Centre for Molecular Medicine and Innovative Therapeutics, Murdoch University, Murdoch, Australia.,Perron Institute for Neurological and Translational Science, Nedlands, Western Australia, Australia
| | - Pille Taba
- Department of Neurology and Neurosurgery, University of Tartu, Estonia.,Neurology Clinic, Tartu University Hospital, Tartu, Estonia
| | - Suzanne Lesage
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, INSERM, CNRS, Assistance Publique Hôpitaux de Paris, Department of Neurologie, Paris, France
| | - Alexis Brice
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, INSERM, CNRS, Assistance Publique Hôpitaux de Paris, Department of Neurologie, Paris, France
| | - Jean-Christophe Corvol
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, INSERM, CNRS, Assistance Publique Hôpitaux de Paris, Department of Neurologie, Paris, France.,Assistance Publique Hôpitaux de Paris, Department of Neurology, CIC Neurosciences, Paris, France
| | | | - Eugénie Mutez
- Univ. Lille, Inserm, CHU Lille, UMR-S 1172 - LilNCog- Centre de Recherche Lille Neurosciences & Cognition, Lille, France
| | - Kathrin Brockmann
- Department for Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research, University of Tubingen, Germany.,German Center for Neurodegenerative Diseases (DZNE), Tubingen, Germany
| | - Angela B Deutschländer
- Department of Neurology, Ludwig Maximilians University of Munich, Germany.,Department of Neurology, Max Planck Institute of Psychiatry, Munich, Germany.,Department of Neurology and Department of Clinical Genomics, Mayo Clinic Florida, Jacksonville, FL, USA
| | - Georges M Hadjigeorgiou
- Department of Neurology, Laboratory of Neurogenetics, University of Thessaly, University Hospital of Larissa, Larissa, Greece.,Department of Neurology, Medical School, University of Cyprus, Nicosia, Cyprus
| | - Efthimos Dardiotis
- Department of Neurology, Laboratory of Neurogenetics, University of Thessaly, University Hospital of Larissa, Larissa, Greece
| | - Leonidas Stefanis
- 1st Department of Neurology, Eginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece.,Center of Clinical Research, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Athina Maria Simitsi
- 1st Department of Neurology, Eginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Enza Maria Valente
- Department of Molecular Medicine, University of Pavia, Pavia, Italy.,Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Mondino Foundation, Pavia, Italy
| | - Simona Petrucci
- UOC Medical Genetics and Advanced Cell Diagnostics, S. Andrea University Hospital, Rome, Italy.,Department of Clinical and Molecular Medicine, University of Rome, Rome, Italy
| | - Stefano Duga
- Department of Biomedical Sciences - Humanitas University, Milan, Italy.,Humanitas Clinical and Research Center, IRCCS, Rozzano, Milan, Italy
| | - Letizia Straniero
- Department of Biomedical Sciences - Humanitas University, Milan, Italy
| | - Anna Zecchinelli
- Parkinson Institute, Azienda Socio Sanitaria Territoriale (ASST) Gaetano Pini/CTO, Milano, Italy
| | - Gianni Pezzoli
- Parkinson Institute, Azienda Socio Sanitaria Territoriale (ASST) Gaetano Pini/CTO, Milano, Italy
| | - Laura Brighina
- Department of Neurology, San Gerardo Hospital, Monza, Italy.,Department of Medicine and Surgery and Milan Center for Neuroscience, University of Milano Bicocca, Milano, Italy
| | - Carlo Ferrarese
- Department of Neurology, San Gerardo Hospital, Monza, Italy.,Department of Medicine and Surgery and Milan Center for Neuroscience, University of Milano Bicocca, Milano, Italy
| | - Grazia Annesi
- Institute for Biomedical Research and Innovation, National Research Council, Cosenza, Italy
| | - Andrea Quattrone
- Institute of Neurology, Magna Graecia University, Catanzaro, Italy
| | - Monica Gagliardi
- Institute of Molecular Bioimaging and Physiology National Research Council, Catanzaro, Italy
| | - Hirotaka Matsuo
- Department of Integrative Physiology and Bio-Nano Medicine, National Defense Medical College, Saitama, Japan
| | - Yusuke Kawamura
- Department of Integrative Physiology and Bio-Nano Medicine, National Defense Medical College, Saitama, Japan
| | - Nobutaka Hattori
- Department of Neurology, Juntendo University School of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Kenya Nishioka
- Department of Neurology, Juntendo University School of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Sun Ju Chung
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Yun Joong Kim
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea
| | - Pierre Kolber
- Neurology, Centre Hospitalier de Luxembourg, Luxembourg, Luxembourg
| | - Bart Pc van de Warrenburg
- Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Nijmegen, The Netherlands
| | - Bastiaan R Bloem
- Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Nijmegen, The Netherlands
| | - Jan Aasly
- Department of Neurology, St Olav's Hospital and Norwegian University of Science and Technology, Trondheim, Norway
| | - Mathias Toft
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Lasse Pihlstrøm
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Leonor Correia Guedes
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.,Department of Neurosciences and Mental Health, Neurology, Hospital de Santa Maria, Centro Hospitalar Universitario Lisboa Norte (CHULN), Lisbon, Portugal
| | - Joaquim J Ferreira
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.,Laboratory of Clinical Pharmacology and Therapeutics, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Soraya Bardien
- Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, South Africa
| | - Jonathan Carr
- Division of Neurology, Department of Medicine, Faculty of Medicine and Health Sciences, Stellenbosch University, South Africa
| | - Eduardo Tolosa
- Parkinson's disease & Movement Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED: CB06/05/0018-ISCIII) Barcelona, Spain
| | - Mario Ezquerra
- Lab of Parkinson Disease and Other Neurodegenerative Movement Disorders, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Institut de Neurociències, Universitat de Barcelona, Barcelona, Catalonia
| | - Pau Pastor
- Fundació per la Recerca Biomèdica i Social Mútua Terrassa, Terrassa, Barcelona, Spain.,Movement Disorders Unit, Department of Neurology, Hospital Universitari Mutua de Terrassa, Terrassa, Barcelona, Spain
| | - Monica Diez-Fairen
- Fundació per la Recerca Biomèdica i Social Mútua Terrassa, Terrassa, Barcelona, Spain.,Movement Disorders Unit, Department of Neurology, Hospital Universitari Mutua de Terrassa, Terrassa, Barcelona, Spain
| | - Karin Wirdefeldt
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Caroline Ran
- Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Andrea C Belin
- Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Andreas Puschmann
- Lund University, Skåne University Hospital, Department of Clinical Sciences Lund, Neurology, Lund, Sweden
| | - Clara Hellberg
- Lund University, Skåne University Hospital, Department of Clinical Sciences Lund, Neurology, Lund, Sweden
| | - Carl E Clarke
- University of Birmingham and Sandwell and West Birmingham Hospitals NHS Trust, UK
| | - Karen E Morrison
- Faculty of Medicine, Health and Life Sciences, Queens University, Belfast, UK
| | - Manuela Tan
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Dimitri Krainc
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Lena F Burbulla
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Matt J Farrer
- Department of Neurology, McKnight Brain Institute, University of Florida, Gainesville, FL, USA
| | - Rejko Krüger
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-Belval, Luxembourg.,Neurology, Centre Hospitalier de Luxembourg, Luxembourg, Luxembourg.,Parkinson's Research Clinic, Centre Hospitalier de Luxembourg, Luxembourg.,Transversal Translational Medicine, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
| | - Thomas Gasser
- Department for Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research, University of Tubingen, Germany.,German Center for Neurodegenerative Diseases (DZNE), Tubingen, Germany
| | - Manu Sharma
- Centre for Genetic Epidemiology, Institute for Clinical Epidemiology and Applied Biometry, University of Tubingen, Germany.,Department for Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research, University of Tubingen, Germany
| | - Alexis Elbaz
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm, Team "Exposome, heredity, cancer and health", CESP, Villejuif, France
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29
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Behl T, Madaan P, Sehgal A, Singh S, Sharma N, Bhatia S, Al-Harrasi A, Chigurupati S, Alrashdi I, Bungau SG. Elucidating the Neuroprotective Role of PPARs in Parkinson's Disease: A Neoteric and Prospective Target. Int J Mol Sci 2021; 22:10161. [PMID: 34576325 PMCID: PMC8467926 DOI: 10.3390/ijms221810161] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Revised: 09/17/2021] [Accepted: 09/19/2021] [Indexed: 12/13/2022] Open
Abstract
One of the utmost frequently emerging neurodegenerative diseases, Parkinson's disease (PD) must be comprehended through the forfeit of dopamine (DA)-generating nerve cells in the substantia nigra pars compacta (SN-PC). The etiology and pathogenesis underlying the emergence of PD is still obscure. However, expanding corroboration encourages the involvement of genetic and environmental factors in the etiology of PD. The destruction of numerous cellular components, namely oxidative stress, ubiquitin-proteasome system (UPS) dysfunction, autophagy-lysosome system dysfunction, neuroinflammation and programmed cell death, and mitochondrial dysfunction partake in the pathogenesis of PD. Present-day pharmacotherapy can alleviate the manifestations, but no therapy has been demonstrated to cease disease progression. Peroxisome proliferator-activated receptors (PPARs) are ligand-directed transcription factors pertaining to the class of nuclear hormone receptors (NHR), and are implicated in the modulation of mitochondrial operation, inflammation, wound healing, redox equilibrium, and metabolism of blood sugar and lipids. Numerous PPAR agonists have been recognized to safeguard nerve cells from oxidative destruction, inflammation, and programmed cell death in PD and other neurodegenerative diseases. Additionally, various investigations suggest that regular administration of PPAR-activating non-steroidal anti-inflammatory drugs (NSAIDs) (ibuprofen, indomethacin), and leukotriene receptor antagonists (montelukast) were related to the de-escalated evolution of neurodegenerative diseases. The present review elucidates the emerging evidence enlightening the neuroprotective outcomes of PPAR agonists in in vivo and in vitro models experiencing PD. Existing articles up to the present were procured through PubMed, MEDLINE, etc., utilizing specific keywords spotlighted in this review. Furthermore, the authors aim to provide insight into the neuroprotective actions of PPAR agonists by outlining the pharmacological mechanism. As a conclusion, PPAR agonists exhibit neuroprotection through modulating the expression of a group of genes implicated in cellular survival pathways, and may be a propitious target in the therapy of incapacitating neurodegenerative diseases like PD.
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Affiliation(s)
- Tapan Behl
- Chitkara College of Pharmacy, Chitkara University, Punjab 140401, India; (P.M.); (A.S.); (S.S.); (N.S.)
| | - Piyush Madaan
- Chitkara College of Pharmacy, Chitkara University, Punjab 140401, India; (P.M.); (A.S.); (S.S.); (N.S.)
| | - Aayush Sehgal
- Chitkara College of Pharmacy, Chitkara University, Punjab 140401, India; (P.M.); (A.S.); (S.S.); (N.S.)
| | - Sukhbir Singh
- Chitkara College of Pharmacy, Chitkara University, Punjab 140401, India; (P.M.); (A.S.); (S.S.); (N.S.)
| | - Neelam Sharma
- Chitkara College of Pharmacy, Chitkara University, Punjab 140401, India; (P.M.); (A.S.); (S.S.); (N.S.)
| | - Saurabh Bhatia
- Natural & Medical Sciences Research Centre, University of Nizwa, Birkat Al Mauz 616, Nizwa P.O. Box 33, Oman; (S.B.); (A.A.-H.)
- School of Health Science, University of Petroleum and Energy Studies, Dehradun 248007, India
| | - Ahmed Al-Harrasi
- Natural & Medical Sciences Research Centre, University of Nizwa, Birkat Al Mauz 616, Nizwa P.O. Box 33, Oman; (S.B.); (A.A.-H.)
| | - Sridevi Chigurupati
- Department of Medicinal Chemistry and Pharmacognosy, College of Pharmacy, Qassim University, Buraydah 52571, Saudi Arabia;
| | - Ibrahim Alrashdi
- Translational and Clinical Research Institute, Newcastle University, Newcastle-upon-Tyne NE1 7RU, UK;
| | - Simona Gabriela Bungau
- Department of Pharmacy, Faculty of Medicine and Pharmacy, University of Oradea, 410028 Oradea, Romania
- Doctoral School of Biological and Biomedical Sciences, University of Oradea, 410073 Oradea, Romania
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A comparison of prediction approaches for identifying prodromal Parkinson disease. PLoS One 2021; 16:e0256592. [PMID: 34437600 PMCID: PMC8389479 DOI: 10.1371/journal.pone.0256592] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 08/10/2021] [Indexed: 12/03/2022] Open
Abstract
Identifying people with Parkinson disease during the prodromal period, including via algorithms in administrative claims data, is an important research and clinical priority. We sought to improve upon an existing penalized logistic regression model, based on diagnosis and procedure codes, by adding prescription medication data or using machine learning. Using Medicare Part D beneficiaries age 66–90 from a population-based case-control study of incident Parkinson disease, we fit a penalized logistic regression both with and without Part D data. We also built a predictive algorithm using a random forest classifier for comparison. In a combined approach, we introduced the probability of Parkinson disease from the random forest, as a predictor in the penalized regression model. We calculated the receiver operator characteristic area under the curve (AUC) for each model. All models performed well, with AUCs ranging from 0.824 (simplest model) to 0.835 (combined approach). We conclude that medication data and random forests improve Parkinson disease prediction, but are not essential.
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Sieurin J, Zhan Y, Pedersen NL, Wirdefeldt K. Neuroticism, Smoking, and the Risk of Parkinson's Disease. JOURNAL OF PARKINSONS DISEASE 2021; 11:1325-1334. [PMID: 34024779 PMCID: PMC8461727 DOI: 10.3233/jpd-202522] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: The relationship among neuroticism, smoking, and Parkinson’s disease (PD) is less examined. Objective: To examine the causal associations between neuroticism, smoking initiation, and the risk of PD. Methods: We performed a two-sample Mendelian randomization (MR) design in a network framework. Summary statistics from meta-analyses of genome-wide association studies (GWAS) were based on large cohorts of European ancestry. Study participants were from various cohort studies for neuroticism and smoking initiation, and case-control studies or cohort studies of PD from previously published GWAS meta-analyses. Patients with PD were ascertained from either clinical visit or self-reported. Results: The two-sample MR analysis showed no evidence for a causal association between neuroticism and PD risk (odds ratio [OR] 0.86, 95%confidence intervals [CIs] 0.67 to 1.12). While we did not find a significant association between neuroticism and PD, one SNP, rs58879558 (located in MAPT region), was associated with both neuroticism and PD. We found a significant association of neuroticism on smoking initiation (OR: 1.10, 95%CI: 1.05 to 1.14). Further, our results provided evidence for a protective effect of smoking initiation on the risk of PD (OR: 0.75, 95%CI: 0.62 to 0.91). Conclusion: These findings do not support a causal association of neuroticism on PD risk. However, they provide evidence for a causal relationship between neuroticism and smoking initiation and a strong causal effect of smoking initiation on a reduced risk of PD.
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Affiliation(s)
- Johanna Sieurin
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Yiqiang Zhan
- School of Public Health, Sun Yat-sen University, Shenzhen, China.,Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.,German Center for Neurodegenerative Diseases, Ulm Germany
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Karin Wirdefeldt
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
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Neshige S, Ohshita T, Neshige R, Maruyama H. Influence of current and previous smoking on current phenotype in Parkinson's disease. J Neurol Sci 2021; 427:117534. [PMID: 34130061 DOI: 10.1016/j.jns.2021.117534] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 06/01/2021] [Accepted: 06/05/2021] [Indexed: 01/03/2023]
Abstract
INTRODUCTION Although an inverse correlation between smoking and Parkinson's disease (PD) has been reported, research into the effect of smoking on current clinical progression remains limited for PD patients. Elucidation of a specific PD population who would benefit from smoking is challenging. METHODS We evaluated 110 consecutive PD patients (mean age; 71.0 ± 8.0 years) at a single neurology clinic between 2010 and 2018. The association with smoking status was evaluated in sex- and age-matched controls (non-PD). This study assessed the impact of previous smoking exposure on the outcome of current PD-related parameters, along with any confounders, in addition to assessing fluctuation of parkinsonism induced by smoking exposure. RESULTS The current smoking rate was significantly lower in PD versus non-PD (5.5% vs. 15.5%, P = 0.026), while there were similar rates between former and never smokers. Among the former smokers, most PD patients (97.3%) quit smoking prior to the onset of PD. There were no differences between PD patients with and without a history of smoking for current clinical parameters. Three PD patients with the mean onset age of 51.0 ± 5.3 y reported transient deterioration of their parkinsonism when smoking. Negative mood during cigarette smoke exposure was significantly increased over the entire life in PD patients with a history of smoking than those without (p < 0.001). CONCLUSIONS Although previous smoking history reportedly had a neuroprotective effect prior to onset, the association between the previous history and current phenotype in PD was not visible in the present study. However, the possibility that current nicotine intake might modify the parkinsonism deterioration will need to be further evaluated, especially in non-elderly patients. Cigarette smoke-related negative mood could be a confounder for quitting smoking in PD patients.
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Affiliation(s)
- Shuichiro Neshige
- Department of Clinical Neuroscience and Therapeutics, Hiroshima University, Graduate School of Biomedical and Health Sciences, Hiroshima, Japan; Medical Corporation, Neshige Neurology Clinic, Kurume, Japan; Epilepsy Center, Hiroshima University Hospital, Hiroshima, Japan.
| | - Tomohiko Ohshita
- Department of Clinical Neuroscience and Therapeutics, Hiroshima University, Graduate School of Biomedical and Health Sciences, Hiroshima, Japan
| | - Ryuji Neshige
- Medical Corporation, Neshige Neurology Clinic, Kurume, Japan
| | - Hirofumi Maruyama
- Department of Clinical Neuroscience and Therapeutics, Hiroshima University, Graduate School of Biomedical and Health Sciences, Hiroshima, Japan; Epilepsy Center, Hiroshima University Hospital, Hiroshima, Japan
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Novel Pharmacotherapies in Parkinson's Disease. Neurotox Res 2021; 39:1381-1390. [PMID: 34003454 PMCID: PMC8129607 DOI: 10.1007/s12640-021-00375-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 04/30/2021] [Accepted: 05/11/2021] [Indexed: 12/15/2022]
Abstract
Parkinson’s disease (PD), an age-related progressive neurodegenerative condition, is associated with loss of dopaminergic neurons in the substantia nigra pars compacta (SNpc), which results in motor deficits characterized by the following: akinesia, rigidity, resting tremor, and postural instability, as well as nonmotor symptoms such as emotional changes, particularly depression, cognitive impairment, gastrointestinal, and autonomic dysfunction. The most common treatment for PD is focused on dopamine (DA) replacement (e.g., levodopa = L-Dopa), which unfortunately losses its efficacy over months or years and can induce severe dyskinesia. Hence, more efficacious interventions without such adverse effects are urgently needed. In this review, following a general description of PD, potential novel therapeutic interventions for this devastating disease are examined. Specifically, the focus is on nicotine and nicotinic cholinergic system, as well as butyrate, a short chain fatty acid (SCFA), and fatty acid receptors.
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Racette BA, Nelson G, Dlamini WW, Prathibha P, Turner JR, Ushe M, Checkoway H, Sheppard L, Nielsen SS. Severity of parkinsonism associated with environmental manganese exposure. Environ Health 2021; 20:27. [PMID: 33722243 PMCID: PMC7962371 DOI: 10.1186/s12940-021-00712-3] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Accepted: 03/03/2021] [Indexed: 05/03/2023]
Abstract
BACKGROUND Exposure to occupational manganese (Mn) is associated with neurotoxic brain injury, manifesting primarily as parkinsonism. The association between environmental Mn exposure and parkinsonism is unclear. To characterize the association between environmental Mn exposure and parkinsonism, we performed population-based sampling of residents older than 40 in Meyerton, South Africa (N = 621) in residential settlements adjacent to a large Mn smelter and in a comparable non-exposed settlement in Ethembalethu, South Africa (N = 95) in 2016-2020. METHODS A movement disorders specialist examined all participants using the Unified Parkinson Disease Rating Scale motor subsection part 3 (UPDRS3). Participants also completed an accelerometry-based kinematic test and a grooved pegboard test. We compared performance on the UPDRS3, grooved pegboard, and the accelerometry-based kinematic test between the settlements using linear regression, adjusting for covariates. We also measured airborne PM2.5-Mn in the study settlements. RESULTS Mean PM2.5-Mn concentration at a long-term fixed site in Meyerton was 203 ng/m3 in 2016-2017 - approximately double that measured at two other neighborhoods in Meyerton. The mean Mn concentration in Ethembalethu was ~ 20 times lower than that of the long-term Meyerton site. UPDRS3 scores were 6.6 (CI 5.2, 7.9) points higher in Meyerton than Ethembalethu residents. Mean angular velocity for finger-tapping on the accelerometry-based kinematic test was slower in Meyerton than Ethembalethu residents [dominant hand 74.9 (CI 48.7, 101.2) and non-dominant hand 82.6 (CI 55.2, 110.1) degrees/second slower]. Similarly, Meyerton residents took longer to complete the grooved pegboard, especially for the non-dominant hand (6.9, CI -2.6, 16.3 s longer). CONCLUSIONS Environmental airborne Mn exposures at levels substantially lower than current occupational exposure thresholds in the United States may be associated with clinical parkinsonism.
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Affiliation(s)
- Brad A. Racette
- Department of Neurology, Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8111, 63110 St. Louis, Missouri, USA
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, 7 York Road, 2193 Parktown, South Africa
| | - Gill Nelson
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, 7 York Road, 2193 Parktown, South Africa
- Research Department of Infection & Population Health, UCL Institute for Global Health, University College London, London, UK
| | - Wendy W. Dlamini
- Department of Neurology, Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8111, 63110 St. Louis, Missouri, USA
| | - Pradeep Prathibha
- Department of Energy, Environmental, and Chemical Engineering, Washington University, Campus Box 1180, One Brookings Drive, 63130 St. Louis, Missouri, USA
| | - Jay R. Turner
- Department of Energy, Environmental, and Chemical Engineering, Washington University, Campus Box 1180, One Brookings Drive, 63130 St. Louis, Missouri, USA
| | - Mwiza Ushe
- Department of Neurology, Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8111, 63110 St. Louis, Missouri, USA
| | - Harvey Checkoway
- Department of Family Medicine & Public Health, University of California, 9500 Gilman Drive, # 0725, La Jolla, 92093-0725 San Diego, California USA
| | - Lianne Sheppard
- Departments of Biostatistics and Environmental and Occupational Health Sciences, University of Washington, Box 357232, Washington, 98195 Seattle, USA
| | - Susan Searles Nielsen
- Department of Neurology, Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8111, 63110 St. Louis, Missouri, USA
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Gómez-Anca S, Barros-Dios JM. Radon Exposure and Neurodegenerative Disease. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17207439. [PMID: 33066046 PMCID: PMC7600778 DOI: 10.3390/ijerph17207439] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 10/05/2020] [Accepted: 10/10/2020] [Indexed: 12/28/2022]
Abstract
Background: To carry out a systematic review of scientific literature about the association between radon exposure and neurodegenerative diseases. Methods: We performed a bibliographic search in the following databases: Pub med (Medline), Cochrane, BioMed Central and Web of Science. We collected the data by following a predetermined search strategy in which several terms werecombined. After an initial search, 77 articles were obtained.10 of which fulfilled the inclusion criteria. Five of these 10 studies were related to multiple sclerosis (MS), 2 were about motor neuron diseases (MND), in particular amyotrophic lateral sclerosis (ALS) and 3 were related to both Alzheimer's disease (AD) and Parkinson's disease (PD). Results: The majority of the included articles, suggested a possible association between radon exposure and a subsequent development of neurodegenerative diseases. Some of the studies that obtained statistically significant resultsrevealed a possible association between radon exposure and an increase in MS prevalence. Furthermore, it was also suggested that radon exposure increases MND and AD mortality. Regarding AD and PD, it was observed that certainde cay products of radon-222 (222Rn), specifically polonium-210 (210Po) and bismuth-210 (210Bi), present a characteristic distributionpattern within the brain anatomy. However, the study with the highest scientific evidence included in this review, which investigated a possible association between the concentration of residential radon gas and the MS incidence, revealed no significant results. Conclusions: It cannot be concluded, although it is observed, that there is a possible causal association between radon exposure and neurodegenerative diseases. Most of the available studies are ecological so, studies of higher statistical evidence are needed to establish a causal relationship. Further research is needed on this topic.
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Affiliation(s)
- Silvia Gómez-Anca
- Department of Preventive Medicine and Public Health, University of Santiago de Compostela, 15782 Santiago, Spain;
| | - Juan Miguel Barros-Dios
- Department of Preventive Medicine and Public Health, University of Santiago de Compostela, 15782 Santiago, Spain;
- Department of Preventive Medicine, Santiago de Compostela University Teaching Hospital Complex, Santiago de Compostela, 15706 Santiago, Spain
- Center for Biomedical Research on the Network of Epidemiology and Public Health (Centro DE Investigacion Biomédica en Red DE Epidemiología Y Salud Pública), 15706 Santiago de Compostela, Spain
- Correspondence:
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Environmental Enrichment Attenuates Oxidative Stress and Alters Detoxifying Enzymes in an A53T α-Synuclein Transgenic Mouse Model of Parkinson's Disease. Antioxidants (Basel) 2020; 9:antiox9100928. [PMID: 32998299 PMCID: PMC7600645 DOI: 10.3390/antiox9100928] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 08/22/2020] [Accepted: 09/20/2020] [Indexed: 02/08/2023] Open
Abstract
Although environmental enrichment (EE) is known to reduce oxidative stress in Parkinson’s disease (PD), the metabolic alternations for detoxifying endogenous and xenobiotic compounds according to various brain regions are not fully elucidated yet. This study aimed to further understand the role of EE on detoxifying enzymes, especially those participating in phase I of metabolism, by investigating the levels of enzymes in various brain regions such as the olfactory bulb, brain stem, frontal cortex, and striatum. Eight-month-old transgenic PD mice with the overexpression of human A53T α-synuclein and wild-type mice were randomly allocated to either standard cage condition or EE for 2 months. At 10 months of age, the expression of detoxifying enzymes was evaluated and compared with wild-type of the same age raised in standard cages. EE improved neurobehavioral outcomes such as olfactory and motor function in PD mice. EE-treated mice showed that oxidative stress was attenuated in the olfactory bulb, brain stem, and frontal cortex. EE also reduced apoptosis and induced cell proliferation in the subventricular zone of PD mice. The overexpression of detoxifying enzymes was observed in the olfactory bulb and brain stem of PD mice, which was ameliorated by EE. These findings were not apparent in the other experimental regions. These results suggest the stage of PD pathogenesis may differ according to brain region, and that EE has a protective effect on the PD pathogenesis by decreasing oxidative stress.
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Aslan NS, Orhan G, Karahalil B. The impacts of prominent gene polymorphisms in DNA repair enzymes on Parkinson’s disease. Neurosci Lett 2020; 735:135203. [DOI: 10.1016/j.neulet.2020.135203] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 06/18/2020] [Accepted: 06/21/2020] [Indexed: 12/15/2022]
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Ma C, Molsberry S, Li Y, Schwarzschild M, Ascherio A, Gao X. Dietary nicotine intake and risk of Parkinson disease: a prospective study. Am J Clin Nutr 2020; 112:1080-1087. [PMID: 32725131 PMCID: PMC7528555 DOI: 10.1093/ajcn/nqaa186] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Accepted: 06/15/2020] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Tobacco use was observed to be associated with a lower risk of Parkinson disease (PD) in previous epidemiologic studies, with nicotine as a potential candidate. The association between dietary nicotine and PD risk has, however, not been examined in prospective studies yet. OBJECTIVES We aimed to examine prospectively the association between dietary nicotine intake and subsequent PD risk among never-smokers. METHODS The current study was based on never-smoker participants from 2 large prospective cohorts: the Nurses' Health Study (n = 31,615) and the Health Professionals Follow-up Study (n = 19,523). The studies contained information on dietary nicotine intake from 1986 from validated FFQs. Dietary nicotine intake was calculated based on consumption of peppers, tomatoes, processed tomatoes, potatoes, and tea. Incident cases of PD were identified via questionnaires and subsequently confirmed by reviewing medical records. We used Cox proportional hazard models to calculate cohort-specific HRs, and used fixed-effects models to calculate the pooled HR. RESULTS During 26 y of follow-up, we identified 601 incident PD cases (296 women and 305 men). After adjusting for potential covariates, the pooled HR for the highest compared with the lowest quintile of dietary nicotine intake was 0.70 (95% CI: 0.51, 0.94). The significant inverse association was, however, only observed in women (adjusted HR: 0.64; 95% CI: 0.42, 0.96), not in men (adjusted HR: 0.77; 95% CI: 0.50, 1.20). Further adjusting for environmental tobacco smoke exposure, family history of PD, and use of ibuprofen generated similar significant results in women. Consistently, greater consumption of peppers was associated with lower risk of PD (adjusted HR for ≥5 times/wk compared with ≤3 times/mo: 0.49; 95% CI: 0.25, 0.94) in women but not in men (adjusted HR: 1.04; 95% CI: 0.57, 1.90). CONCLUSIONS Women with greater dietary nicotine intake had a lower risk of PD than those with lower intake.
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Affiliation(s)
- Chaoran Ma
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, USA
| | - Samantha Molsberry
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Yanping Li
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | | | - Alberto Ascherio
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA,Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA,Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Xiang Gao
- Address correspondence to XG (e-mail: )
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Reedijk M, Huss A, Verheij RA, Peeters PH, Vermeulen RCH. Parkinson's disease case ascertainment in prospective cohort studies through combining multiple health information resources. PLoS One 2020; 15:e0234845. [PMID: 32609766 PMCID: PMC7329061 DOI: 10.1371/journal.pone.0234845] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2019] [Accepted: 06/03/2020] [Indexed: 01/15/2023] Open
Abstract
Epidemiological evidence from prospective cohort studies on risk factors of Parkinson's disease (PD) is limited as case ascertainment is challenging due to a lack of registries and the disease course of PD. The objective of this study was to create a case ascertainment method for PD within two prospective Dutch cohorts based on multiple sources of PD information. This method was validated using clinical records from the general practitioners (GPs). Face validity of the case ascertainment was tested for three etiological factors (smoking, sex and family history of PD). In total 54825 participants were included from the cohorts AMIGO and EPIC-NL. Sources of PD information included self-reported PD, self-reported PD medication, a 9 item screening questionnaire (Tanner), electronical medical records, hospital discharge data and mortality records. Based on these sources we developed a likelihood score with 4 categories (no PD, unlikely PD, possible PD, likely PD). For the different sources of PD information and for the likelihood score we present the agreement with GP-validated cases. Risk of PD for established factors was studied by logistic regression as exact diagnose dates were not always available. Based on the algorithm, we assigned 346 participants to the likely PD category. GP validation confirmed 67% of these participants in EPIC-NL, but only 12% in AMIGO. PD was confirmed in only 3% of the participants with a possible PD classification. PD case ascertainment by mortality records (91%), EMR ICPC (82%) and self-reported information (62-69%) had the highest confirmation rates. The Tanner PD screening questionnaire had a lower agreement (18%). Risk estimates for smoking, family history and sex using all likely PD cases were comparable to the literature for EPIC-NL, but not for smoking in AMIGO. Using multiple sources of PD evidence in cohorts remains important but challenging as performance of sources varied in validity.
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Affiliation(s)
- Marije Reedijk
- University of Utrecht, Institute for Risk Assessment Sciences, Utrecht, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht (UMCU), Utrecht, The Netherlands
| | - Anke Huss
- University of Utrecht, Institute for Risk Assessment Sciences, Utrecht, The Netherlands
| | - Robert A. Verheij
- Netherlands Institute for Health Services Research (NIVEL), Utrecht, The Netherlands
| | - Petra H. Peeters
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht (UMCU), Utrecht, The Netherlands
| | - Roel C. H. Vermeulen
- University of Utrecht, Institute for Risk Assessment Sciences, Utrecht, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht (UMCU), Utrecht, The Netherlands
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Becerra GP, Rojas-Rodríguez F, Ramírez D, Loaiza AE, Tobar-Tosse F, Mejía SM, González J. Structural and functional computational analysis of nicotine analogs as potential neuroprotective compounds in Parkinson disease. Comput Biol Chem 2020; 86:107266. [PMID: 32388154 DOI: 10.1016/j.compbiolchem.2020.107266] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Revised: 04/01/2020] [Accepted: 04/13/2020] [Indexed: 11/27/2022]
Abstract
As the mechanism of interaction between nicotinic receptors with nicotine analogs is not yet fully understood, information at molecular level obtained from computational calculations is needed. In this sense, this work is a computational study of eight nicotine analogs, all with pyrrolidine ring modifications over a nicotine-based backbone optimized with B3LYP-D3/aug-cc-pVDZ. A molecular characterization was performed focusing on geometrical parameters such as pseudo-rotation angles, atomic charges, HOMO and LUMO orbitals, reactivity indexes and intermolecular interactions. Three analogs, A2 (3-(1,3-dimethyl-4,5-dihydro-1h-pirazole-5-yl) pyridine), A3 (3-(3-methyl-4,5-dihydro-1H-pyrazol-5-yl)-pyridine) and A8 (5-methyl-3-(pyridine-3-yl)-4,5-dihydroisoxazole), were filtered suggesting putative neuroprotective activity taking into account different reactivity values, such as their lowest hardness: 2.37 eV (A8), 2.43 eV (A2) and 2.56 eV (A3), compared to the highest hardness value found: 2.71 eV for A5 (3-((2S,4R)-4-(fluoromethyl)-1-methylpyrrolidine-2-il) pyridine), similar to the value of nicotine (2.70 eV). Additionally, molecular docking of all 8 nicotine analogs with the α 7 nicotinic acetylcholine receptor (α 7 nAChR) was performed. High values of interaction between the receptor and the three nicotine analogs were obtained: A3 (-7.1 kcal/mol), A2 (-6.9 kcal/mol) and A8 (-6.8 kcal/mol); whereas the affinity energy of nicotine was -6.4 kcal/mol. Leu116 and Trp145 are key residues in the binding site of α 7 nAChR interacting with nicotine analogs. Therefore, based upon these results, possible application of these nicotine analogs as neuroprotective compounds and potential implication at the design of novel Parkinson's treatments is evidenced.
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Affiliation(s)
- Gina Paola Becerra
- Laboratorio de Bioquímica Computacional Estructural y Bioinformática, Facultad de Ciencias, Pontificia Universidad Javeriana, Bogotá, Colombia; Laboratorio de Química Computacional, Departamento de Química, Facultad de Ciencias, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Felipe Rojas-Rodríguez
- Laboratorio de Bioquímica Computacional Estructural y Bioinformática, Facultad de Ciencias, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - David Ramírez
- Instituto de Ciencias Biomédicas, Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, El Llano Subercaseaux 2801-Piso 5, 8900000, Santiago, Chile
| | - Alix E Loaiza
- Laboratorio de Síntesis Orgánica, Departamento de Química, Facultad de Ciencias, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Fabian Tobar-Tosse
- Departamento de Ciencias Básicas de la Salud, Facultad de Ciencias de la Salud, Pontificia Universidad Javeriana Cali, Cali, Colombia
| | - Sol M Mejía
- Laboratorio de Química Computacional, Departamento de Química, Facultad de Ciencias, Pontificia Universidad Javeriana, Bogotá, Colombia.
| | - Janneth González
- Laboratorio de Bioquímica Computacional Estructural y Bioinformática, Facultad de Ciencias, Pontificia Universidad Javeriana, Bogotá, Colombia.
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Ye Q, Wen Y, Al-Kuwari N, Chen X. Association Between Parkinson's Disease and Melanoma: Putting the Pieces Together. Front Aging Neurosci 2020; 12:60. [PMID: 32210791 PMCID: PMC7076116 DOI: 10.3389/fnagi.2020.00060] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Accepted: 02/20/2020] [Indexed: 12/15/2022] Open
Abstract
Patients with Parkinson’s disease (PD) generally have reduced risk of developing many types of cancers, except melanoma—a malignant tumor of melanin-producing cells in the skin. For decades, a large number of epidemiological studies have reported that the occurrence of melanoma is higher than expected among subjects with PD, and the occurrence of PD is reciprocally higher than expected among patients with melanoma. More recent epidemiological studies further indicated a bidirectional association, not only in the patients themselves but also in their relatives. This association between PD and melanoma offers a unique opportunity to understand PD. Here, we summarize epidemiological, clinical, and biological evidence in regard to shared risk factors and possible underlying mechanisms for these two seemingly distinct conditions.
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Affiliation(s)
- Qing Ye
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Ya Wen
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.,Ietheory Institute, Burlington, MA, United States
| | - Nasser Al-Kuwari
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Xiqun Chen
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
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Faust IM, Racette BA, Searles Nielsen S. Validation of a Parkinson Disease Predictive Model in a Population-Based Study. PARKINSON'S DISEASE 2020; 2020:2857608. [PMID: 32148753 PMCID: PMC7054801 DOI: 10.1155/2020/2857608] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Revised: 01/16/2020] [Accepted: 01/22/2020] [Indexed: 11/18/2022]
Abstract
Parkinson disease (PD) has a relatively long prodromal period that may permit early identification to reduce diagnostic testing for other conditions when patients are simply presenting with early PD symptoms, as well as to reduce morbidity from fall-related trauma. Earlier identification also could prove critical to the development of neuroprotective therapies. We previously developed a PD predictive model using demographic and Medicare claims data in a population-based case-control study. The area under the receiver-operating characteristic curve (AUC) indicated good performance. We sought to further validate this PD predictive model. In a randomly selected, population-based cohort of 115,492 Medicare beneficiaries aged 66-90 and without PD in 2009, we applied the predictive model to claims data from the prior five years to estimate the probability of future PD diagnosis. During five years of follow-up, we used 2010-2014 Medicare data to determine PD and vital status and then Cox regression to investigate whether PD probability at baseline was associated with time to PD diagnosis. Within a nested case-control sample, we calculated the AUC, sensitivity, and specificity. A total of 2,326 beneficiaries developed PD. Probability of PD was associated with time to PD diagnosis (p < 0.001, hazard ratio = 13.5, 95% confidence interval (CI) 10.6-17.3 for the highest vs. lowest decile of probability). The AUC was 83.3% (95% CI 82.5%-84.1%). At the cut point that balanced sensitivity and specificity, sensitivity was 76.7% and specificity was 76.2%. In an independent sample of additional Medicare beneficiaries, we again applied the model and observed good performance (AUC = 82.2%, 95% CI 81.1%-83.3%). Administrative claims data can facilitate PD identification within Medicare and Medicare-aged samples.
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Affiliation(s)
- Irene M. Faust
- Washington University School of Medicine, Department of Neurology, St. Louis, Missouri, USA
| | - Brad A. Racette
- Washington University School of Medicine, Department of Neurology, St. Louis, Missouri, USA
- University of the Witwatersrand, School of Public Health, Faculty of Health Sciences, Johannesburg, South Africa
| | - Susan Searles Nielsen
- Washington University School of Medicine, Department of Neurology, St. Louis, Missouri, USA
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Abstract
Parkinson disease is a complex, age-related, neurodegenerative disease associated with dopamine deficiency and both motor and nonmotor deficits. Many environmental and genetic factors influence Parkinson disease risk, with different factors predominating in different patients. These factors converge on specific pathways, including mitochondrial dysfunction, oxidative stress, protein aggregation, impaired autophagy, and neuroinflammation. Ultimately, treatment of Parkinson disease may focus on targeted therapies for pathophysiologically defined subtypes of Parkinson disease patients.
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Affiliation(s)
- David K Simon
- Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue Boston, MA 02215, USA.
| | - Caroline M Tanner
- Department of Neurology, University of California - San Francisco, 1635 Divisadero St., Suite 520-530, San Francisco, CA 94115; Parkinson's Disease Research Education and Clinical Center San Francisco Veteran's Affairs Medical Center, 4150 Clement St. (127P), San Francisco, CA 94121
| | - Patrik Brundin
- Center for Neurodegenerative Science, Van Andel Institute, 333 Bostwick Avenue Northeast, Grand Rapids, MI 49503-2518, USA
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Dlamini WW, Nelson G, Nielsen SS, Racette BA. Manganese exposure, parkinsonian signs, and quality of life in South African mine workers. Am J Ind Med 2020; 63:36-43. [PMID: 31647574 DOI: 10.1002/ajim.23060] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Revised: 09/10/2019] [Indexed: 11/07/2022]
Abstract
BACKGROUND Manganese (Mn) neurotoxicity is associated with parkinsonism; the associated motor deficits can affect individuals' quality of life (QoL). We investigated associations between Mn exposure, parkinsonian signs, and QoL in Mn mine workers. METHODS We assessed parkinsonian signs and QoL in 187 black South African Mn mine workers, using the Unified Parkinson Disease Rating Scale motor subsection 3 (UPDRS3) and the Parkinson Disease Questionnaire (PDQ-39), respectively. We estimated cumulative Mn exposure in mg Mn/m3 -years using complete occupational histories and a job-exposure matrix. We investigated the cross-sectional association between cumulative Mn exposure and UPDRS3 score, and the UPDRS3 score and PDQ-39, adjusting for age, using linear regression. RESULTS Participants' mean age was 41.8 years (range, 21-67 years); 97.3% were male. Estimated mean cumulative Mn exposure at the time of examination was 5.4 mg Mn/m3 -years, with a mean of 14.0 years working in a Mn mine. The mean UPDRS3 score was 10.1 and 25.7% of the workers had a UPDRS3 score greater than or equal to 15. There was a U-shaped dose-response relation between cumulative Mn exposure and UPDRS3 score, with a positive association up to 15 mg Mn/m3 -years of exposure and an inverse association thereafter. Greater UPDRS3 scores were associated with poorer self-reported QoL. CONCLUSION In this cohort of employed Mn mine workers, parkinsonian signs were common and were associated with both estimated cumulative Mn exposure and poorer QoL.
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Affiliation(s)
- Wendy W Dlamini
- Occupational Health Division, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
- Department of Neurology, Washington University School of Medicine, St Louis, Missouri
| | - Gill Nelson
- Occupational Health Division, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
- Department of Infection & Population Health, Institute for Global Health, University College London, London, UK
| | - Susan Searles Nielsen
- Department of Neurology, Washington University School of Medicine, St Louis, Missouri
| | - Brad A Racette
- Occupational Health Division, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
- Department of Neurology, Washington University School of Medicine, St Louis, Missouri
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Silver MR, Racette BA, Dube U, Faust IM, Nielsen SS. Well Water and Parkinson's Disease in Medicare Beneficiaries: A Nationwide Case-Control Study. JOURNAL OF PARKINSON'S DISEASE 2020; 10:693-705. [PMID: 32083591 PMCID: PMC7342021 DOI: 10.3233/jpd-191793] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Well water frequently is considered a risk factor for Parkinson's disease (PD), but few studies were designed appropriately to test whether geographic factors affect PD risk. OBJECTIVE To determine the risk of PD in relation to residential use of private well water. METHODS In a nationwide, population-based case-control study, we identified all incident PD cases (N = 89,790) and all comparable controls (N = 21,549,400) age 66-90 who solely relied on Medicare coverage in the U.S. in 2009. We estimated the probability of use of private well water using zip code of residence at diagnosis/reference and U.S. Census data on household water source. We modeled this exposure linearly in logistic regression to calculate the odds ratio (OR) and 95% confidence interval (CI) of PD risk in relation to well water use. We adjusted for age, sex and race/ethnicity, and verified that smoking and use of medical care did not confound results. We repeated analyses with a 2-year exposure lag and separately within each U.S. state. RESULTS Use of well water was inversely associated with PD risk (OR = 0.87, 95% CI 0.85-0.89). We confirmed this association in a Cox survival analysis in which we followed controls for 5 years, death or PD diagnosis. There was little evidence that well water use increased risk of PD in any individual state. CONCLUSIONS Although it remains possible that exposures in well water in more narrow geographic regions increase PD risk, in general these results suggest that exposures more common in urban/suburban areas might also be relevant.
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Affiliation(s)
- Maya R. Silver
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Brad A. Racette
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Umber Dube
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Irene M. Faust
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Susan Searles Nielsen
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA
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Simitsi A, Koros C, Moraitou M, Papagiannakis N, Antonellou R, Bozi M, Angelopoulou E, Stamelou M, Michelakakis H, Stefanis L. Phenotypic Characteristics in GBA-Associated Parkinson's Disease: A Study in a Greek Population. JOURNAL OF PARKINSONS DISEASE 2019; 8:101-105. [PMID: 29480223 DOI: 10.3233/jpd-171221] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
We compared phenotypic characteristics in 35 Greek patients with Parkinson's disease (PD), carriers of GBA1 mutations (GBA-PD), with 35 Genetically Unidentified PD patients (GU-PD). We found a previously reported higher prevalence of cognitive impairment and a little appreciated more frequent bilateral onset of the disease in GBA-PD vs GU-PD. As far as the exposure to environmental factors, linked to PD, is concerned, our study hints to the possibility that pesticide exposure may be more common in GBA-PD patients, and possibly act synergistically with the mutation carrier status to trigger the disease.
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Affiliation(s)
- Athina Simitsi
- 2nd Department of Neurology, Attikon Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Christos Koros
- 2nd Department of Neurology, Attikon Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Marina Moraitou
- Department of Enzymology and Cellular Function, Institute of Child Health, Athens, Greece
| | - Nikos Papagiannakis
- 2nd Department of Neurology, Attikon Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece.,Center of Clinical Research, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Roubina Antonellou
- 2nd Department of Neurology, Attikon Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Maria Bozi
- 2nd Department of Neurology, Attikon Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Efthalia Angelopoulou
- 1st Department of Neurology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Maria Stamelou
- 2nd Department of Neurology, Attikon Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece.,Department of Neurology, Philipps University, Marburg, Germany
| | - Helen Michelakakis
- Department of Enzymology and Cellular Function, Institute of Child Health, Athens, Greece
| | - Leonidas Stefanis
- 2nd Department of Neurology, Attikon Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece.,Center of Clinical Research, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
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Guttuso T. High lithium levels in tobacco may account for reduced incidences of both Parkinson's disease and melanoma in smokers through enhanced β-catenin-mediated activity. Med Hypotheses 2019; 131:109302. [PMID: 31443765 DOI: 10.1016/j.mehy.2019.109302] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2019] [Accepted: 07/03/2019] [Indexed: 12/16/2022]
Abstract
Parkinson's disease (PD) patients have higher rates of melanoma and vice versa, observations suggesting that the two conditions may share common pathogenic pathways. β-Catenin is a transcriptional cofactor that, when concentrated in the nucleus, upregulates the expression of canonical Wnt target genes, such as Nurr1, many of which are important for neuronal survival. β-Catenin-mediated activity is decreased in sporadic PD as well as in leucine-rich repeat kinase 2 (LRRK2) and β-glucosidase (GBA) mutation cellular models of PD, which is the most common genetic cause of and risk for PD, respectively. In addition, β-catenin expression is significantly decreased in more aggressive and metastatic melanoma. Multiple observational studies have shown smokers to have significantly lower rates of PD as well as melanoma implying that tobacco may contain one or more elements that protect against both conditions. In support, smoker's brains have significantly reduced levels of α-synuclein, a pathological intracellular protein found in PD brain and melanoma cells. Tobacco contains very high lithium levels compared to other plants. Lithium has a broad array of neuroprotective actions, including enhancing autophagy and reducing intracellular α-synuclein levels, and is effective in both neurotoxin and transgenic preclinical PD models. One of lithium's neuroprotective actions is enhancement of β-catenin-mediated activity leading to increased Nurr1 expression through its ability to inhibit glycogen synthase kinase-3 β (GSK-3β). Lithium also has anti-proliferative effects on melanoma cells and the clinical use of lithium is associated with a reduced incidence of melanoma as well as reduced melanoma-associated mortality. This is the first known report hypothesizing that inhaled lithium from smoking may account for the associated reduced rates of both PD and melanoma and that this protection may be mediated, in part, through lithium-induced GSK-3β inhibition and consequent enhanced β-catenin-mediated activity. This hypothesis could be directly tested in clinical trials assessing lithium therapy's ability to affect β-catenin-mediated activity and slow disease progression in patients with PD or melanoma.
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Affiliation(s)
- Thomas Guttuso
- Comprehensive Movement Disorders Center, University at Buffalo, 3435 Main Street, 97 Farber Hall, Buffalo, NY 14214, United States.
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48
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Palakurthi B, Burugupally SP. Postural Instability in Parkinson's Disease: A Review. Brain Sci 2019; 9:brainsci9090239. [PMID: 31540441 PMCID: PMC6770017 DOI: 10.3390/brainsci9090239] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Revised: 09/14/2019] [Accepted: 09/16/2019] [Indexed: 12/13/2022] Open
Abstract
Parkinson’s disease (PD) is a heterogeneous progressive neurodegenerative disorder, which typically affects older adults; it is predicted that by 2030 about 3% of the world population above 65 years of age is likely to be affected. At present, the diagnosis of PD is clinical, subjective, nonspecific, and often inadequate. There is a need to quantify the PD factors for an objective disease assessment. Among the various factors, postural instability (PI) is unresponsive to the existing treatment strategies resulting in morbidity. In this work, we review the physiology and pathophysiology of postural balance that is essential to treat PI among PD patients. Specifically, we discuss some of the reported factors for an early PI diagnosis, including age, nervous system lesions, genetic mutations, abnormal proprioception, impaired reflexes, and altered biomechanics. Though the contributing factors to PI have been identified, how their quantification to grade PI severity in a patient can help in treatment is not fully understood. By contextualizing the contributing factors, we aim to assist the future research efforts that underpin posturographical and histopathological studies to measure PI in PD. Once the pathology of PI is established, effective diagnostic tools and treatment strategies could be developed to curtail patient falls.
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Affiliation(s)
- Bhavana Palakurthi
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN 46556, USA.
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Kummer BR, Diaz I, Wu X, Aaroe AE, Chen ML, Iadecola C, Kamel H, Navi BB. Associations between cerebrovascular risk factors and parkinson disease. Ann Neurol 2019; 86:572-581. [PMID: 31464350 DOI: 10.1002/ana.25564] [Citation(s) in RCA: 59] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Revised: 07/22/2019] [Accepted: 07/28/2019] [Indexed: 12/31/2022]
Abstract
OBJECTIVE To determine whether cerebrovascular risk factors are associated with subsequent diagnoses of Parkinson disease, and whether these associations are similar in magnitude to those with subsequent diagnoses of Alzheimer disease. METHODS This was a retrospective cohort study using claims data from a 5% random sample of Medicare beneficiaries from 2008 to 2015. The exposures were stroke, atrial fibrillation, coronary disease, hyperlipidemia, hypertension, sleep apnea, diabetes mellitus, heart failure, peripheral vascular disease, chronic kidney disease, chronic obstructive pulmonary disease, valvular heart disease, tobacco use, and alcohol abuse. The primary outcome was a new diagnosis of idiopathic Parkinson disease. The secondary outcome was a new diagnosis of Alzheimer disease. Marginal structural Cox models adjusting for time-dependent confounding were used to characterize the association between exposures and outcomes. We also evaluated the association between cerebrovascular risk factors and subsequent renal colic (negative control). RESULTS Among 1,035,536 Medicare beneficiaries followed for a mean of 5.2 years, 15,531 (1.5%) participants were diagnosed with Parkinson disease and 81,974 (7.9%) were diagnosed with Alzheimer disease. Most evaluated cerebrovascular risk factors, including prior stroke (hazard ratio = 1.55; 95% confidence interval = 1.39-1.72), were associated with the subsequent diagnosis of Parkinson disease. The magnitudes of these associations were similar, but attenuated, to the associations between cerebrovascular risk factors and Alzheimer disease. Confirming the validity of our analytical model, most cerebrovascular risk factors were not associated with the subsequent diagnosis of renal colic. INTERPRETATION Cerebrovascular risk factors are associated with Parkinson disease, an effect comparable to their association with Alzheimer disease. ANN NEUROL 2019;86:572-581.
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Affiliation(s)
- Benjamin R Kummer
- Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, and Department of Neurology, Weill Cornell Medicine, New York, NY
| | - Iván Diaz
- Division of Biostatistics and Epidemiology, Department of Healthcare Policy and Research, Weill Cornell Medicine, New York, NY
| | - Xian Wu
- Division of Biostatistics and Epidemiology, Department of Healthcare Policy and Research, Weill Cornell Medicine, New York, NY
| | - Ashley E Aaroe
- Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, and Department of Neurology, Weill Cornell Medicine, New York, NY
| | - Monica L Chen
- Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, and Department of Neurology, Weill Cornell Medicine, New York, NY
| | - Costantino Iadecola
- Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, and Department of Neurology, Weill Cornell Medicine, New York, NY
| | - Hooman Kamel
- Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, and Department of Neurology, Weill Cornell Medicine, New York, NY
| | - Babak B Navi
- Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, and Department of Neurology, Weill Cornell Medicine, New York, NY
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50
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Meade RM, Fairlie DP, Mason JM. Alpha-synuclein structure and Parkinson's disease - lessons and emerging principles. Mol Neurodegener 2019; 14:29. [PMID: 31331359 PMCID: PMC6647174 DOI: 10.1186/s13024-019-0329-1] [Citation(s) in RCA: 234] [Impact Index Per Article: 46.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Accepted: 07/01/2019] [Indexed: 12/22/2022] Open
Abstract
Alpha-synuclein (αS) is the major constituent of Lewy bodies and a pathogenic hallmark of all synucleinopathathies, including Parkinson's disease (PD), dementia with Lewy bodies (DLB), and multiple system atrophy (MSA). All diseases are determined by αS aggregate deposition but can be separated into distinct pathological phenotypes and diagnostic criteria. Here we attempt to reinterpret the literature, particularly in terms of how αS structure may relate to pathology. We do so in the context of a rapidly evolving field, taking into account newly revealed structural information on both native and pathogenic forms of the αS protein, including recent solid state NMR and cryoEM fibril structures. We discuss how these new findings impact on current understanding of αS and PD, and where this information may direct the field.
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Affiliation(s)
- Richard M. Meade
- Department of Biology & Biochemistry, University of Bath, Claverton Down, Bath, BA2 7AY UK
| | - David P. Fairlie
- Division of Chemistry and Structural Biology, Australian Research Council Centre of Excellence in Advanced Molecular Imaging, Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland 4072 Australia
| | - Jody M. Mason
- Department of Biology & Biochemistry, University of Bath, Claverton Down, Bath, BA2 7AY UK
- Division of Chemistry and Structural Biology, Australian Research Council Centre of Excellence in Advanced Molecular Imaging, Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland 4072 Australia
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