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Asimakidou E, Xiromerisiou G, Sidiropoulos C. Motor and Non-motor Outcomes of Deep Brain Stimulation across the Genetic Panorama of Parkinson's Disease: A Multi-Scale Meta-Analysis. Mov Disord Clin Pract 2024; 11:465-477. [PMID: 38318989 PMCID: PMC11078493 DOI: 10.1002/mdc3.13994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 01/12/2024] [Accepted: 01/21/2024] [Indexed: 02/07/2024] Open
Abstract
BACKGROUND In the era of modern medicine, where high-throughput sequencing techniques are readily available, it is desirable to elucidate the role of genetic background in patients with Parkinson's Disease (PD) undergoing Deep Brain Stimulation (DBS). Genetic stratification of PD patients undergoing DBS may assist in patient selection and prediction of clinical outcomes and complement existing selection procedures such as levodopa challenge testing. OBJECTIVE To capture a broad spectrum of motor and non-motor DBS outcomes in genetic PD patients with data from the recently updated literature. METHODS A multi-scale meta-analysis with 380 genetic PD cases was conducted using the Cochrane Review Manager, JASP software and R. RESULTS This meta-analysis revealed that overall, patients with genetic PD are good candidates for DBS but the outcomes might differ depending on the presence of specific mutations. PRKN carriers benefited the most regarding motor function, daily dose medication and motor complications. However, GBA carriers appeared to be more prone to cognitive decline after subthalamic nucleus DBS accompanied by a low quality of life with variable severity depending on genetic variants and concomitant alterations in other genes. Apart from GBA, cognitive worsening was also observed in SNCA carriers. Pre-operative levodopa responsiveness and a younger age of onset are associated with a favorable motor outcome. CONCLUSION A personalized approach with a variant-based risk stratification within the emerging field of surgicogenomics is needed. Integration of polygenic risk scores in clinical-decision making should be encouraged.
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Prasuhn J, Schiefen T, Güber T, Henkel J, Uter J, Steinhardt J, Wilms B, Brüggemann N. Levodopa Impairs the Energy Metabolism of the Basal Ganglia In Vivo. Ann Neurol 2024; 95:849-857. [PMID: 38366778 DOI: 10.1002/ana.26884] [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: 06/12/2023] [Revised: 01/20/2024] [Accepted: 01/23/2024] [Indexed: 02/18/2024]
Abstract
OBJECTIVE One proposed mechanism of disease progression in Parkinson's disease includes the interplay of endogenous dopamine toxicity and mitochondrial dysfunction. However, the in-vivo effects of exogenous dopamine administration on cerebral bioenergetics are unknown. METHODS We performed a double-blinded, cross-over, placebo-controlled trial. Participants received either 200/50 mg levodopa/benserazide or a placebo and vice versa on the second study visit. Clinical assessments and multimodal neuroimaging were performed, including 31phosphorus magnetic resonance spectroscopy of the basal ganglia and the midbrain. RESULTS In total, 20 (6 female) patients with Parkinson's disease and 22 sex- and age-matched healthy controls (10 female) were enrolled. Treatment with levodopa/benserazide but not with placebo resulted in a substantial reduction of high-energy phosphorus-containing metabolites in the basal ganglia (patients with Parkinson's disease: -40%; healthy controls: -39%) but not in the midbrain. There were no differences in high-energy phosphorus-containing metabolites for patients with Parkinson's disease compared to healthy controls in the OFF state and treatment response. INTERPRETATION Exogenously administered levodopa/benserazide strongly interferes with basal ganglia high-energy phosphorus-containing metabolite levels in both groups. The lack of effects on midbrain levels suggests that the observed changes are limited to the site of dopamine action. ANN NEUROL 2024;95:849-857.
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Affiliation(s)
- Jannik Prasuhn
- Department of Neurology, University Medical Center Schleswig Holstein, Campus, Lübeck, Germany
- Institute of Neurogenetics, University of Lübeck, Lübeck, Germany
- Center for Brain, Behavior and Metabolism, University of Lübeck, Lübeck, Germany
- Division of MR Research, Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- F.M. Kirby Research Center for Functional Brain Imaging, Hugo W. Moser Research Institute at Kennedy Krieger, Baltimore, MD, USA
| | - Tanja Schiefen
- Department of Neurology, University Medical Center Schleswig Holstein, Campus, Lübeck, Germany
- Center for Brain, Behavior and Metabolism, University of Lübeck, Lübeck, Germany
| | - Theresia Güber
- Department of Neurology, University Medical Center Schleswig Holstein, Campus, Lübeck, Germany
- Center for Brain, Behavior and Metabolism, University of Lübeck, Lübeck, Germany
| | - Julia Henkel
- Department of Neurology, University Medical Center Schleswig Holstein, Campus, Lübeck, Germany
- Institute of Neurogenetics, University of Lübeck, Lübeck, Germany
- Center for Brain, Behavior and Metabolism, University of Lübeck, Lübeck, Germany
| | - Jan Uter
- Department of Neurology, University Medical Center Schleswig Holstein, Campus, Lübeck, Germany
- Institute of Neurogenetics, University of Lübeck, Lübeck, Germany
- Center for Brain, Behavior and Metabolism, University of Lübeck, Lübeck, Germany
| | - Julia Steinhardt
- Department of Neurology, University Medical Center Schleswig Holstein, Campus, Lübeck, Germany
- Center for Brain, Behavior and Metabolism, University of Lübeck, Lübeck, Germany
| | - Britta Wilms
- Center for Brain, Behavior and Metabolism, University of Lübeck, Lübeck, Germany
- Institute for Endocrinology and Diabetes, University of Lübeck, Lübeck, Germany
- German Center for Diabetes Research, Munich, Germany
| | - Norbert Brüggemann
- Department of Neurology, University Medical Center Schleswig Holstein, Campus, Lübeck, Germany
- Institute of Neurogenetics, University of Lübeck, Lübeck, Germany
- Center for Brain, Behavior and Metabolism, University of Lübeck, Lübeck, Germany
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Prasuhn J, Xu J, Hua J, van Zijl P, Knutsson L. Exploring neurodegenerative disorders using advanced magnetic resonance imaging of the glymphatic system. Front Psychiatry 2024; 15:1368489. [PMID: 38651012 PMCID: PMC11033437 DOI: 10.3389/fpsyt.2024.1368489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 03/22/2024] [Indexed: 04/25/2024] Open
Abstract
The glymphatic system, a macroscopic waste clearance system in the brain, is crucial for maintaining neural health. It facilitates the exchange of cerebrospinal and interstitial fluid, aiding the clearance of soluble proteins and metabolites and distributing essential nutrients and signaling molecules. Emerging evidence suggests a link between glymphatic dysfunction and the pathogenesis of neurodegenerative disorders, including Alzheimer's, Parkinson's, and Huntington's disease. These disorders are characterized by the accumulation and propagation of misfolded or mutant proteins, a process in which the glymphatic system is likely involved. Impaired glymphatic clearance could lead to the buildup of these toxic proteins, contributing to neurodegeneration. Understanding the glymphatic system's role in these disorders could provide insights into their pathophysiology and pave the way for new therapeutic strategies. Pharmacological enhancement of glymphatic clearance could reduce the burden of toxic proteins and slow disease progression. Neuroimaging techniques, particularly MRI-based methods, have emerged as promising tools for studying the glymphatic system in vivo. These techniques allow for the visualization of glymphatic flow, providing insights into its function under healthy and pathological conditions. This narrative review highlights current MRI-based methodologies, such as motion-sensitizing pulsed field gradient (PFG) based methods, as well as dynamic gadolinium-based and glucose-enhanced methodologies currently used in the study of neurodegenerative disorders.
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Affiliation(s)
- Jannik Prasuhn
- Division of Magnetic Resonance (MR) Research, Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- F. M. Kirby Research Center for Functional Brain Imaging, Hugo W. Moser Research Institute at Kennedy Krieger, Baltimore, MD, United States
- Department of Neurology, University Medical Center Schleswig-Holstein, Lübeck, Germany
- Institute of Neurogenetics, University of Lübeck, Lübeck, Germany
- Center for Brain, Behavior and Metabolism, University of Lübeck, Lübeck, Germany
| | - Jiadi Xu
- Division of Magnetic Resonance (MR) Research, Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- F. M. Kirby Research Center for Functional Brain Imaging, Hugo W. Moser Research Institute at Kennedy Krieger, Baltimore, MD, United States
| | - Jun Hua
- Division of Magnetic Resonance (MR) Research, Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- F. M. Kirby Research Center for Functional Brain Imaging, Hugo W. Moser Research Institute at Kennedy Krieger, Baltimore, MD, United States
| | - Peter van Zijl
- Division of Magnetic Resonance (MR) Research, Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- F. M. Kirby Research Center for Functional Brain Imaging, Hugo W. Moser Research Institute at Kennedy Krieger, Baltimore, MD, United States
| | - Linda Knutsson
- F. M. Kirby Research Center for Functional Brain Imaging, Hugo W. Moser Research Institute at Kennedy Krieger, Baltimore, MD, United States
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Medical Radiation Physics, Lund University, Lund, Sweden
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Eser P, Kocabicak E, Bekar A, Temel Y. The interplay between neuroinflammatory pathways and Parkinson's disease. Exp Neurol 2024; 372:114644. [PMID: 38061555 DOI: 10.1016/j.expneurol.2023.114644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 11/25/2023] [Accepted: 12/01/2023] [Indexed: 01/03/2024]
Abstract
Parkinson's disease, a progressive neurodegenerative disorder predominantly affecting elderly, is marked by the gradual degeneration of the nigrostriatal dopaminergic pathway, culminating in neuronal loss within the substantia nigra pars compacta (SNpc) and dopamine depletion. At the molecular level, neuronal loss in the SNpc has been attributed to factors including neuroinflammation, impaired protein homeostasis, as well as mitochondrial dysfunction and the resulting oxidative stress. This review focuses on the interplay between neuroinflammatory pathways and Parkinson's disease, drawing insights from current literature.
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Affiliation(s)
- Pinar Eser
- Bursa Uludag University School of Medicine, Department of Neurosurgery, Bursa, Turkey.
| | - Ersoy Kocabicak
- Ondokuz Mayis University, Health Practise and Research Hospital, Neuromodulation Center, Samsun, Turkey
| | - Ahmet Bekar
- Bursa Uludag University School of Medicine, Department of Neurosurgery, Bursa, Turkey
| | - Yasin Temel
- Department of Neurosurgery, Maastricht University Medical Center, Maastricht, the Netherlands
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Lim SY, Klein C. Parkinson's Disease is Predominantly a Genetic Disease. JOURNAL OF PARKINSON'S DISEASE 2024; 14:467-482. [PMID: 38552119 DOI: 10.3233/jpd-230376] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/06/2024]
Abstract
The discovery of a pathogenic variant in the alpha-synuclein (SNCA) gene in the Contursi kindred in 1997 indisputably confirmed a genetic cause in a subset of Parkinson's disease (PD) patients. Currently, pathogenic variants in one of the seven established PD genes or the strongest known risk factor gene, GBA1, are identified in ∼15% of PD patients unselected for age at onset and family history. In this Debate article, we highlight multiple avenues of research that suggest an important - and in some cases even predominant - role for genetics in PD aetiology, including familial clustering, high rates of monogenic PD in selected populations, and complete penetrance with certain forms. At first sight, the steep increase in PD prevalence exceeding that of other neurodegenerative diseases may argue against a predominant genetic etiology. Notably, the principal genetic contribution in PD is conferred by pathogenic variants in LRRK2 and GBA1 and, in both cases, characterized by an overall late age of onset and age-related penetrance. In addition, polygenic risk plays a considerable role in PD. However, it is likely that, in the majority of PD patients, a complex interplay of aging, genetic, environmental, and epigenetic factors leads to disease development.
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Affiliation(s)
- Shen-Yang Lim
- The Mah Pooi Soo and Tan Chin Nam Centre for Parkinson's and Related Disorders, University of Malaya, Kuala Lumpur, Malaysia
- Department of Medicine, Faculty of Medicine, Division of Neurology, University of Malaya, Kuala Lumpur, Malaysia
| | - Christine Klein
- Institute of Neurogenetics, University of Luebeck, Luebeck, Germany
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Pal G, Corcos DM, Metman LV, Israel Z, Bergman H, Arkadir D. Cognitive Effects of Subthalamic Nucleus Deep Brain Stimulation in Parkinson's Disease with GBA1 Pathogenic Variants. Mov Disord 2023; 38:2155-2162. [PMID: 37916476 PMCID: PMC10990226 DOI: 10.1002/mds.29647] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 10/09/2023] [Accepted: 10/13/2023] [Indexed: 11/03/2023] Open
Abstract
Genetic subtyping of patients with Parkinson's disease (PD) may assist in predicting the cognitive and motor outcomes of subthalamic deep brain stimulation (STN-DBS). Practical questions were recently raised with the emergence of new data regarding suboptimal cognitive outcomes after STN-DBS in individuals with PD associated with pathogenic variants in glucocerebrosidase gene (GBA1-PD). However, a variety of gaps and controversies remain. (1) Does STN-DBS truly accelerate cognitive deterioration in GBA1-PD? If so, what is the clinical significance of this acceleration? (2) How should the overall risk-to-benefit ratio of STN-DBS in GBA1-PD be established? (3) If STN-DBS has a negative effect on cognition in GBA1-PD, how can this effect be minimized? (4) Should PD patients be genetically tested before STN-DBS? (5) How should GBA1-PD patients considering STN-DBS be counseled? We aim to summarize the currently available relevant data and detail the gaps and controversies that exist pertaining to these questions. In the absence of evidence-based data, all authors strongly agree that clinicians should not categorically deny DBS to PD patients based solely on genotype (GBA1 status). We suggest that PD patients considering DBS may be offered genetic testing for GBA1, where available and feasible, so the potential risks and benefits of STN-DBS can be properly weighed by both the patient and clinician. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Gian Pal
- Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, United States
| | - Daniel M. Corcos
- Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, Illinois, United States
| | - Leo Verhagen Metman
- Parkinson’s Disease and Movement Disorders Center, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Zvi Israel
- Faculty of Medicine, The Hebrew University and Hadassah, Jerusalem, Jerusalem, Israel
- Department of Neurosurgery, Hadassah Medical Center, Jerusalem, Israel
| | - Hagai Bergman
- Faculty of Medicine, The Hebrew University and Hadassah, Jerusalem, Jerusalem, Israel
- Department of Medical Neurobiology, Institute of Medical Research Israel–Canada (IMRIC), The Hebrew University–Hadassah Medical School, Jerusalem, Israel
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University, Jerusalem, Israel
| | - David Arkadir
- Faculty of Medicine, The Hebrew University and Hadassah, Jerusalem, Jerusalem, Israel
- Department of Neurology, Hadassah Medical Center, Jerusalem, Israel
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Roopnarain K, Klein C. Genetic Testing for GBA and LRRK2 Mutations: Is it Time for Routine Use? Mov Disord Clin Pract 2023; 10:S26-S31. [PMID: 37637988 PMCID: PMC10448120 DOI: 10.1002/mdc3.13619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 06/27/2022] [Accepted: 07/04/2022] [Indexed: 08/29/2023] Open
Affiliation(s)
- Karisha Roopnarain
- Institute of NeurogeneticsUniversity of Luebeck and University Hospital Schleswig‐HolsteinLuebeckGermany
- Faculty of Medicine and Health SciencesStellenbosch UniversityCape TownSouth Africa
| | - Christine Klein
- Institute of NeurogeneticsUniversity of Luebeck and University Hospital Schleswig‐HolsteinLuebeckGermany
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Pal G, Cook L, Schulze J, Verbrugge J, Alcalay RN, Merello M, Sue CM, Bardien S, Bonifati V, Chung SJ, Foroud T, Gatto E, Hall A, Hattori N, Lynch T, Marder K, Mascalzoni D, Novaković I, Thaler A, Raymond D, Salari M, Shalash A, Suchowersky O, Mencacci NE, Simuni T, Saunders‐Pullman R, Klein C. Genetic Testing in Parkinson's Disease. Mov Disord 2023; 38:1384-1396. [PMID: 37365908 PMCID: PMC10946878 DOI: 10.1002/mds.29500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 02/28/2023] [Accepted: 05/24/2023] [Indexed: 06/28/2023] Open
Abstract
Genetic testing for persons with Parkinson's disease is becoming increasingly common. Significant gains have been made regarding genetic testing methods, and testing is becoming more readily available in clinical, research, and direct-to-consumer settings. Although the potential utility of clinical testing is expanding, there are currently no proven gene-targeted therapies, but clinical trials are underway. Furthermore, genetic testing practices vary widely, as do knowledge and attitudes of relevant stakeholders. The specter of testing mandates financial, ethical, and physician engagement, and there is a need for guidelines to help navigate the myriad of challenges. However, to develop guidelines, gaps and controversies need to be clearly identified and analyzed. To this end, we first reviewed recent literature and subsequently identified gaps and controversies, some of which were partially addressed in the literature, but many of which are not well delineated or researched. Key gaps and controversies include: (1) Is genetic testing appropriate in symptomatic and asymptomatic individuals without medical actionability? (2) How, if at all, should testing vary based on ethnicity? (3) What are the long-term outcomes of consumer- and research-based genetic testing in presymptomatic PD? (4) What resources are needed for clinical genetic testing, and how is this impacted by models of care and cost-benefit considerations? Addressing these issues will help facilitate the development of consensus and guidelines regarding the approach and access to genetic testing and counseling. This is also needed to guide a multidisciplinary approach that accounts for cultural, geographic, and socioeconomic factors in developing testing guidelines. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Gian Pal
- Department of NeurologyRutgers‐Robert Wood Johnson Medical SchoolNew BrunswickNew JerseyUSA
| | - Lola Cook
- Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Jeanine Schulze
- Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Jennifer Verbrugge
- Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Roy N. Alcalay
- Department of NeurologyColumbia University Irving Medical CenterNew YorkNew YorkUSA
- Movement Disorders Division, Neurological InstituteTel Aviv Sourasky Medical CenterTel AvivIsrael
| | - Marcelo Merello
- Neuroscience Department FleniCONICET, Catholic University of Buenos AiresBuenos AiresArgentina
| | - Carolyn M. Sue
- Department of NeurologyRoyal North Shore HospitalSt LeonardsNew South WalesAustralia
- Department of Neurogenetics, Kolling Institute, Faculty of Medicine and HealthUniversity of SydneySt LeonardsNew South WalesAustralia
| | - Soraya Bardien
- Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Faculty of Medicine and Health SciencesStellenbosch UniversityCape TownSouth Africa
- South African Medical Research Council/Stellenbosch University Genomics of Brain Disorders Research UnitStellenbosch UniversityCape TownSouth Africa
| | - Vincenzo Bonifati
- Department of Clinical Genetics, Erasmus MCUniversity Medical Center RotterdamRotterdamthe Netherlands
| | - Sun Ju Chung
- Department of Neurology, Asan Medical CenterUniversity of Ulsan College of MedicineSeoulSouth Korea
| | - Tatiana Foroud
- Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Emilia Gatto
- Instituto de Neurociencias Buenos AiresAffiliated Buenos Aires UniversityBuenos AiresArgentina
| | - Anne Hall
- Parkinson's FoundationNew YorkNew YorkUSA
| | - Nobutaka Hattori
- Research Institute of Disease of Old Age, Graduate School of MedicineJuntendo UniversityTokyoJapan
- Department of NeurologyJuntendo University School of MedicineTokyoJapan
- Neurodegenerative Disorders Collaborative LaboratoryRIKEN Center for Brain ScienceSaitamaJapan
| | - Tim Lynch
- Dublin Neurological Institute at the Mater Misericordiae University HospitalDublinIreland
| | - Karen Marder
- Department of NeurologyColumbia University Irving Medical CenterNew YorkNew YorkUSA
| | - Deborah Mascalzoni
- Institute for Biomedicine, Eurac ResearchAffiliated Institute of the University of LübeckBolzanoItaly
- Center for Research Ethics and Bioethics, Department of Public Health and Caring SciencesUppsala UniversityUppsalaSweden
| | - Ivana Novaković
- Institute of Human Genetics, Faculty of MedicineUniversity of BelgradeBelgradeSerbia
| | - Avner Thaler
- Movement Disorders Unit, Neurological InstituteTel‐Aviv Medical CenterTel AvivIsrael
- Sackler School of MedicineTel‐Aviv UniversityTel AvivIsrael
- Sagol School of NeuroscienceTel‐Aviv UniversityTel AvivIsrael
- Laboratory of Early Markers of Neurodegeneration, Neurological InstituteTel‐Aviv Medical CenterTel AvivIsrael
| | - Deborah Raymond
- Department of NeurologyMount Sinai Beth Israel and Icahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Mehri Salari
- Functional Neurosurgery Research Center, Shohada‐e Tajrish Comprehensive Neurosurgical Center of ExcellenceShahid Beheshti University of Medical SciencesTehranIran
| | - Ali Shalash
- Department of Neurology, Faculty of MedicineAin Shams UniversityCairoEgypt
| | - Oksana Suchowersky
- Department of Medicine (Neurology), Medical Genetics and PediatricsUniversity of AlbertaEdmontonAlbertaCanada
| | - Niccolò E. Mencacci
- Ken and Ruth Davee Department of Neurology and Simpson Querrey Center for NeurogeneticsNorthwestern University, Feinberg School of MedicineChicagoIllinoisUSA
- Parkinson's Disease and Movement Disorders CenterNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Tanya Simuni
- Parkinson's Disease and Movement Disorders CenterNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Rachel Saunders‐Pullman
- Department of NeurologyMount Sinai Beth Israel and Icahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Christine Klein
- Institute of NeurogeneticsUniversity of Lübeck and University Hospital Schleswig‐HolsteinLübeckGermany
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Maiese K. Innovative therapeutic strategies for cardiovascular disease. EXCLI JOURNAL 2023; 22:690-715. [PMID: 37593239 PMCID: PMC10427777 DOI: 10.17179/excli2023-6306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 07/24/2023] [Indexed: 08/19/2023]
Abstract
As a significant non-communicable disease, cardiovascular disease is the leading cause of death for both men and women, comprises almost twenty percent of deaths in most racial and ethnic groups, can affect greater than twenty-five million individuals worldwide over the age of twenty, and impacts global economies with far-reaching financial challenges. Multiple factors can affect the onset of cardiovascular disease that include high serum cholesterol levels, elevated blood pressure, tobacco consumption and secondhand smoke exposure, poor nutrition, physical inactivity, obesity, and concurrent diabetes mellitus. Yet, addressing any of these factors cannot completely eliminate the onset or progression of cardiovascular disorders. Novel strategies are necessary to target underlying cardiovascular disease mechanisms. The silent mating type information regulation 2 homolog 1 (Saccharomyces cerevisiae) (SIRT1), a histone deacetylase, can limit cardiovascular injury, assist with stem cell development, oversee metabolic homeostasis through nicotinamide adenine dinucleotide (NAD+) pathways, foster trophic factor protection, and control cell senescence through the modulation of telomere function. Intimately tied to SIRT1 pathways are mammalian forkhead transcription factors (FoxOs) which can modulate cardiac disease to reduce oxidative stress, repair microcirculation disturbances, and reduce atherogenesis through pathways of autophagy, apoptosis, and ferroptosis. AMP activated protein kinase (AMPK) also is critical among these pathways for the oversight of cardiac cellular metabolism, insulin sensitivity, mitochondrial function, inflammation, and the susceptibility to viral infections such as severe acute respiratory syndrome coronavirus that can impact cardiovascular disease. Yet, the relationship among these pathways is both intricate and complex and requires detailed insight to successfully translate these pathways into clinical care for cardiovascular disorders.
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Affiliation(s)
- Kenneth Maiese
- Cellular and Molecular Signaling, New York, New York 10022
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Maiese K. Cognitive Impairment in Multiple Sclerosis. Bioengineering (Basel) 2023; 10:871. [PMID: 37508898 PMCID: PMC10376413 DOI: 10.3390/bioengineering10070871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 07/19/2023] [Accepted: 07/21/2023] [Indexed: 07/30/2023] Open
Abstract
Almost three million individuals suffer from multiple sclerosis (MS) throughout the world, a demyelinating disease in the nervous system with increased prevalence over the last five decades, and is now being recognized as one significant etiology of cognitive loss and dementia. Presently, disease modifying therapies can limit the rate of relapse and potentially reduce brain volume loss in patients with MS, but unfortunately cannot prevent disease progression or the onset of cognitive disability. Innovative strategies are therefore required to address areas of inflammation, immune cell activation, and cell survival that involve novel pathways of programmed cell death, mammalian forkhead transcription factors (FoxOs), the mechanistic target of rapamycin (mTOR), AMP activated protein kinase (AMPK), the silent mating type information regulation 2 homolog 1 (Saccharomyces cerevisiae) (SIRT1), and associated pathways with the apolipoprotein E (APOE-ε4) gene and severe acute respiratory syndrome coronavirus (SARS-CoV-2). These pathways are intertwined at multiple levels and can involve metabolic oversight with cellular metabolism dependent upon nicotinamide adenine dinucleotide (NAD+). Insight into the mechanisms of these pathways can provide new avenues of discovery for the therapeutic treatment of dementia and loss in cognition that occurs during MS.
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Affiliation(s)
- Kenneth Maiese
- Cellular and Molecular Signaling, New York, NY 10022, USA
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Pizarro-Galleguillos BM, Kunert L, Brüggemann N, Prasuhn J. Neuroinflammation and Mitochondrial Dysfunction in Parkinson's Disease: Connecting Neuroimaging with Pathophysiology. Antioxidants (Basel) 2023; 12:1411. [PMID: 37507950 PMCID: PMC10375976 DOI: 10.3390/antiox12071411] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 07/07/2023] [Accepted: 07/10/2023] [Indexed: 07/30/2023] Open
Abstract
There is a pressing need for disease-modifying therapies in patients suffering from neurodegenerative diseases, including Parkinson's disease (PD). However, these disorders face unique challenges in clinical trial designs to assess the neuroprotective properties of potential drug candidates. One of these challenges relates to the often unknown individual disease mechanisms that would, however, be relevant for targeted treatment strategies. Neuroinflammation and mitochondrial dysfunction are two proposed pathophysiological hallmarks and are considered to be highly interconnected in PD. Innovative neuroimaging methods can potentially help to gain deeper insights into one's predominant disease mechanisms, can facilitate patient stratification in clinical trials, and could potentially map treatment responses. This review aims to highlight the role of neuroinflammation and mitochondrial dysfunction in patients with PD (PwPD). We will specifically introduce different neuroimaging modalities, their respective technical hurdles and challenges, and their implementation into clinical practice. We will gather preliminary evidence for their potential use in PD research and discuss opportunities for future clinical trials.
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Affiliation(s)
- Benjamin Matís Pizarro-Galleguillos
- Facultad de Medicina, Universidad de Chile, Santiago 8380453, Chile
- Department of Neurology, University Medical Center Schleswig-Holstein, Campus Lübeck, 23562 Lübeck, Germany
- Institute of Neurogenetics, University of Lübeck, 23562 Lübeck, Germany
- Center for Brain, Behavior, and Metabolism, University of Lübeck, 23562 Lübeck, Germany
| | - Liesa Kunert
- Department of Neurology, University Medical Center Schleswig-Holstein, Campus Lübeck, 23562 Lübeck, Germany
- Institute of Neurogenetics, University of Lübeck, 23562 Lübeck, Germany
- Center for Brain, Behavior, and Metabolism, University of Lübeck, 23562 Lübeck, Germany
| | - Norbert Brüggemann
- Department of Neurology, University Medical Center Schleswig-Holstein, Campus Lübeck, 23562 Lübeck, Germany
- Center for Brain, Behavior, and Metabolism, University of Lübeck, 23562 Lübeck, Germany
| | - Jannik Prasuhn
- Department of Neurology, University Medical Center Schleswig-Holstein, Campus Lübeck, 23562 Lübeck, Germany
- Institute of Neurogenetics, University of Lübeck, 23562 Lübeck, Germany
- Center for Brain, Behavior, and Metabolism, University of Lübeck, 23562 Lübeck, Germany
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD 21287, USA
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Castillo-Rangel C, Marin G, Hernández-Contreras KA, Vichi-Ramírez MM, Zarate-Calderon C, Torres-Pineda O, Diaz-Chiguer DL, De la Mora González D, Gómez Apo E, Teco-Cortes JA, Santos-Paez FDM, Coello-Torres MDLÁ, Baldoncini M, Reyes Soto G, Aranda-Abreu GE, García LI. Neuroinflammation in Parkinson’s Disease: From Gene to Clinic: A Systematic Review. Int J Mol Sci 2023; 24:ijms24065792. [PMID: 36982866 PMCID: PMC10051221 DOI: 10.3390/ijms24065792] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 03/13/2023] [Accepted: 03/14/2023] [Indexed: 03/22/2023] Open
Abstract
Parkinson’s disease is a neurodegenerative disease whose progression and clinical characteristics have a close bidirectional and multilevel relationship with the process of neuroinflammation. In this context, it is necessary to understand the mechanisms involved in this neuroinflammation–PD link. This systematic search was, hereby, conducted with a focus on the four levels where alterations associated with neuroinflammation in PD have been described (genetic, cellular, histopathological and clinical-behavioral) by consulting the PubMed, Google Scholar, Scielo and Redalyc search engines, including clinical studies, review articles, book chapters and case studies. Initially, 585,772 articles were included, and, after applying the inclusion and exclusion criteria, 84 articles were obtained that contained information about the multilevel association of neuroinflammation with alterations in gene, molecular, cellular, tissue and neuroanatomical expression as well as clinical-behavioral manifestations in PD.
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Affiliation(s)
- Carlos Castillo-Rangel
- Neurosurgery Department, “Hospital Regional 1° de Octubre”, Institute of Social Security and Services for State Workers (ISSSTE), México City 07300, Mexico
| | - Gerardo Marin
- Neural Dynamics and Modulation Lab, Cleveland Clinic, Cleveland, OH 44195, USA
- Correspondence: ; Tel.: +52-296-102-5707
| | | | | | | | | | - Dylan L. Diaz-Chiguer
- Neurosurgery Department, “Hospital Regional 1° de Octubre”, Institute of Social Security and Services for State Workers (ISSSTE), México City 07300, Mexico
| | | | - Erick Gómez Apo
- Pathology Department, “Hospital General de México”, Dr. Eduardo Liceaga, México City 06720, Mexico
| | | | | | | | - Matías Baldoncini
- Laboratory of Microsurgical Neuroanatomy, Second Chair of Gross Anatomy, University of Buenos Aires, Buenos Aires C1052AAA, Argentina
| | | | | | - Luis I. García
- Brain Research Institute, Universidad Veracruzana, Xalapa 91192, Mexico
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13
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Vollstedt EJ, Schaake S, Lohmann K, Padmanabhan S, Brice A, Lesage S, Tesson C, Vidailhet M, Wurster I, Hentati F, Mirelman A, Giladi N, Marder K, Waters C, Fahn S, Kasten M, Brüggemann N, Borsche M, Foroud T, Tolosa E, Garrido A, Annesi G, Gagliardi M, Bozi M, Stefanis L, Ferreira JJ, Correia Guedes L, Avenali M, Petrucci S, Clark L, Fedotova EY, Abramycheva NY, Alvarez V, Menéndez-González M, Jesús Maestre S, Gómez-Garre P, Mir P, Belin AC, Ran C, Lin CH, Kuo MC, Crosiers D, Wszolek ZK, Ross OA, Jankovic J, Nishioka K, Funayama M, Clarimon J, Williams-Gray CH, Camacho M, Cornejo-Olivas M, Torres-Ramirez L, Wu YR, Lee-Chen GJ, Morgadinho A, Pulkes T, Termsarasab P, Berg D, Kuhlenbäumer G, Kühn AA, Borngräber F, de Michele G, De Rosa A, Zimprich A, Puschmann A, Mellick GD, Dorszewska J, Carr J, Ferese R, Gambardella S, Chase B, Markopoulou K, Satake W, Toda T, Rossi M, Merello M, Lynch T, Olszewska DA, Lim SY, Ahmad-Annuar A, Tan AH, Al-Mubarak B, Hanagasi H, Koziorowski D, Ertan S, Genç G, de Carvalho Aguiar P, Barkhuizen M, Pimentel MMG, Saunders-Pullman R, van de Warrenburg B, Bressman S, Toft M, Appel-Cresswell S, Lang AE, Skorvanek M, Boon AJW, Krüger R, Sammler EM, Tumas V, Zhang BR, Garraux G, Chung SJ, Kim YJ, Winkelmann J, Sue CM, Tan EK, Damásio J, Klivényi P, Kostic VS, Arkadir D, Martikainen M, Borges V, Hertz JM, Brighina L, Spitz M, Suchowersky O, Riess O, Das P, Mollenhauer B, Gatto EM, Petersen MS, Hattori N, Wu RM, Illarioshkin SN, Valente EM, Aasly JO, Aasly A, Alcalay RN, Thaler A, Farrer MJ, Brockmann K, Corvol JC, Klein C. Embracing Monogenic Parkinson's Disease: The MJFF Global Genetic PD Cohort. Mov Disord 2023; 38:286-303. [PMID: 36692014 DOI: 10.1002/mds.29288] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 07/20/2022] [Accepted: 07/27/2022] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND As gene-targeted therapies are increasingly being developed for Parkinson's disease (PD), identifying and characterizing carriers of specific genetic pathogenic variants is imperative. Only a small fraction of the estimated number of subjects with monogenic PD worldwide are currently represented in the literature and availability of clinical data and clinical trial-ready cohorts is limited. OBJECTIVE The objectives are to (1) establish an international cohort of affected and unaffected individuals with PD-linked variants; (2) provide harmonized and quality-controlled clinical characterization data for each included individual; and (3) further promote collaboration of researchers in the field of monogenic PD. METHODS We conducted a worldwide, systematic online survey to collect individual-level data on individuals with PD-linked variants in SNCA, LRRK2, VPS35, PRKN, PINK1, DJ-1, as well as selected pathogenic and risk variants in GBA and corresponding demographic, clinical, and genetic data. All registered cases underwent thorough quality checks, and pathogenicity scoring of the variants and genotype-phenotype relationships were analyzed. RESULTS We collected 3888 variant carriers for our analyses, reported by 92 centers (42 countries) worldwide. Of the included individuals, 3185 had a diagnosis of PD (ie, 1306 LRRK2, 115 SNCA, 23 VPS35, 429 PRKN, 75 PINK1, 13 DJ-1, and 1224 GBA) and 703 were unaffected (ie, 328 LRRK2, 32 SNCA, 3 VPS35, 1 PRKN, 1 PINK1, and 338 GBA). In total, we identified 269 different pathogenic variants; 1322 individuals in our cohort (34%) were indicated as not previously published. CONCLUSIONS Within the MJFF Global Genetic PD Study Group, we (1) established the largest international cohort of affected and unaffected individuals carrying PD-linked variants; (2) provide harmonized and quality-controlled clinical and genetic data for each included individual; (3) promote collaboration in the field of genetic PD with a view toward clinical and genetic stratification of patients for gene-targeted clinical trials. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
| | - Susen Schaake
- Institute of Neurogenetics, University of Lübeck, Lübeck, Germany
| | - Katja Lohmann
- Institute of Neurogenetics, University of Lübeck, Lübeck, Germany
| | - Shalini Padmanabhan
- Research Programs, The Michael J. Fox Foundation for Parkinson's Research, New York, New York, USA
| | - Alexis Brice
- Department of Neurology, Sorbonne University, Paris Brain Institute - ICM, Inserm, CNRS, Assistance Publique Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris, France
| | - Suzanne Lesage
- Sorbonne University, Paris Brain Institute - ICM, Inserm, CNRS, Paris, France
| | - Christelle Tesson
- Sorbonne University, Paris Brain Institute - ICM, Inserm, CNRS, Paris, France
| | - Marie Vidailhet
- Department of Neurology, Sorbonne University, Paris Brain Institute - ICM, Inserm, CNRS, Assistance Publique Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris, France
| | - Isabel Wurster
- Department of Neurodegenerative Diseases, University of Tuebingen, Tuebingen, Baden Wuerttemberg, Germany, Hertie Institute for Clinical Brain Research and German Centre for Neurodegenerative Diseases, Tuebingen, Germany
| | - Faycel Hentati
- Mongi Ben Hmida National Institute of Neurology, Tunis, Tunisia
| | - Anat Mirelman
- Laboratory of Early Markers of Neurodegeneration, Neurological Institute, Tel-Aviv Medical Center, Tel-Aviv, Israel; Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel; Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel
| | - Nir Giladi
- Neurological Institute, Tel-Aviv Medical Center, Tel-Aviv, Israel; Sackler School of Medicine, Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel
| | - Karen Marder
- Department of Neurology, Taub Institute for Alzheimer's Disease and the Aging Brain, Columbia University, New York, New York, USA
| | - Cheryl Waters
- Department of Neurology, Columbia University, New York, New York, USA
| | - Stanley Fahn
- Department of Neurology, Columbia University, New York, New York, USA
| | - Meike Kasten
- Department of Psychiatry and Psychotherapy and Institute of Neurogenetics, University of Lübeck, Lübeck, Germany
| | - Norbert Brüggemann
- Department of Neurology and Institute of Neurogenetics, University of Lübeck, Lübeck, Germany
| | - Max Borsche
- Department of Neurology and Institute of Neurogenetics, University of Lübeck, Lübeck, Germany
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Eduardo Tolosa
- Parkinson Disease and Movement Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona (UB), Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED:CB06/05/0018-ISCIII), Barcelona, Spain
| | - Alicia Garrido
- Parkinson Disease and Movement Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona (UB), Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED:CB06/05/0018-ISCIII), Barcelona, Spain
| | - Grazia Annesi
- Institute of Biomedical Research and Innovation, National Research Council, Cosenza, Italy
| | - Monica Gagliardi
- Institute of Biomedical Research and Innovation, National Research Council, Cosenza, Italy
| | - Maria Bozi
- Parkinson's and Movement Disorders Unit, 2nd Department of Neurology of the University of Athens, Attikon Hospital, Haidari, Athens, Greece; Psychiatry Hospital of Attica "Dafni," Neurology Department, Haidari, Athens, Greece
| | - Leonidas Stefanis
- First Department of Neurology, Medical School of the National and Kapodistrian University of Athens, Eginition Hospital, Athens, Greece
| | - Joaquim J Ferreira
- Laboratory of Clinical Pharmacology and Therapeutics, University of Lisbon, Lisbon, Portugal; Instituto de Medicina Molecular João Lobo Antunes, Faculty of Medicine, University of Lisbon, Lisbon, Portugal
| | - Leonor Correia Guedes
- Department of Neuroscience and Mental Health, Neurology Department, Hospital de Santa Maria, CHULN, Lisbon, Portugal; Instituto de Medicina Molecular João Lobo Antunes, Faculty of Medicine, University of Lisbon, Lisbon, Portugal
| | - Micol Avenali
- Neurorehabilitation Unit, IRCCS Mondino Foundation, Pavia, Italy; Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Simona Petrucci
- Department of Clinical and Molecular Medicine, Sapienza University of Rome, Rome, Italy; Sant' Andrea University Hospital, Rome, Italy
| | - Lorraine Clark
- Department of Pathology and Cell Biology, Vagelos College of Physicians & Surgeons, Columbia University Irving Medical Center, New York, New York, USA; Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York, USA; Laboratory of Personalized Genomic Medicine, Vagelos College of Physicians & Surgeons, Columbia University Irving Medical Center, New York, New York, USA
| | | | | | - Victoria Alvarez
- Laboratório de Genética, Hospital Universitario Central de Asturias, Oviedo, Asturias, Spain, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
| | - Manuel Menéndez-González
- Servicio Neurología, Hospital Universitario Central de Asturias, Oviedo, Spain; Instituto de Investigación; Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
| | - Silvia Jesús Maestre
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain; Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Pilar Gómez-Garre
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain; Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Pablo Mir
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain; Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | | | - Caroline Ran
- Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Chin-Hsien Lin
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan; Department of Neurology, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Ming-Che Kuo
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan; Department of Neurology, National Taiwan University College of Medicine, Taipei, Taiwan
| | - David Crosiers
- Department of Neurology, Antwerp University Hospital, Edegem, Belgium; Born Bunge Institute, Department of Neurology, University of Antwerp, Wilrijk, Belgium; Center for Molecular Neurology, VIB, Wilrijk, Belgium
| | | | - Owen A Ross
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
| | - Joseph Jankovic
- Parkinson's Disease Center and Movement Disorders Clinic, Department of Neurology, Baylor College of Medicine, Houston, Texas, USA
| | - Kenya Nishioka
- Department of Neurology, Juntendo University School of Medicine, Bunkyo, Tokyo, Japan
| | - Manabu Funayama
- Research Institute for Diseases of Old Age, Graduate School of Medicine, Juntendo University, Bunkyo, Tokyo, Japan
| | - Jordi Clarimon
- Department of Neurology, Biomedical Research Institute IIB-Sant Pau, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain; Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | | | - Marta Camacho
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Mario Cornejo-Olivas
- Neurogenetics Research Center, Instituto Nacional de Ciencias Neurologicas, Lima, Peru; Center for Global Health, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Luis Torres-Ramirez
- Movement Disorders Unit, Instituto Nacional de Ciencias Neurologicas, Lima, Peru
| | - Yih-Ru Wu
- Department of Neurology, Chang Gung University, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan
| | - Guey-Jen Lee-Chen
- Department of Life Science, National Taiwan Normal University, Taipei, Taiwan
| | - Ana Morgadinho
- Movement Disorders Clinic, Department of Neurology, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Teeratorn Pulkes
- Division of Neurology, Department of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Pichet Termsarasab
- Division of Neurology, Department of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Daniela Berg
- Department of Neurology, Christian-Albrechts-Universität, Kiel, Germany
| | | | - Andrea A Kühn
- Movement Disorder and Neuromodulation Unit, Charité, Universitätsmedizin Berlin, Department of Neurology, Berlin, Germany
| | - Friederike Borngräber
- Movement Disorder and Neuromodulation Unit, Charité, Universitätsmedizin Berlin, Department of Neurology, Berlin, Germany
| | - Giuseppe de Michele
- Department of Neurosciences and Reproductive and Odontostomatological Sciences, Federico II University, Naples, Italy
| | - Anna De Rosa
- Department of Neurosciences and Reproductive and Odontostomatological Sciences, Federico II University, Naples, Italy
| | | | - Andreas Puschmann
- Department of Neurology, Clinical Sciences, Lund University, Lund, Sweden; Department of Neurology, Skåne University, Lund, Sweden
| | - George D Mellick
- Griffith Institute for Drug Discovery (GRIDD), School of Environment and Science, Griffith University, Brisbane, Queensland, Australia
| | - Jolanta Dorszewska
- Laboratory of Neurobiology, Department of Neurology, Poznan University of Medical Sciences, Poznan, Poland
| | - Jonathan Carr
- Division of Neurology, Department of Medicine, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Rosangela Ferese
- IRCCS Neuromed, Localita' Camerelle, Pozzilli, Isernia, Italy; Department of Biomolecular Sciences, University of Urbino "Carlo Bo", Urbino, Italy
| | - Stefano Gambardella
- IRCCS Neuromed, Localita' Camerelle, Pozzilli, Isernia, Italy; Department of Biomolecular Sciences, University of Urbino "Carlo Bo", Urbino, Italy
| | - Bruce Chase
- Department of Neurology, NorthShore University HealthSystem, Evanston, Illinois, USA
| | - Katerina Markopoulou
- Department of Neurology, NorthShore University HealthSystem, Evanston Illinois and Department of Neurology, University of Chicago, Chicago, Illinois, USA
| | - Wataru Satake
- Sección Movimientos Anormales, Departamento de Neurociencias, Fleni, Buenos Aires, Argentina; Argentine National Scientific and Technological Research Council (CONICET), Buenos Aires, Argentina
| | - Tatsushi Toda
- Department of Neurology, The University of Tokyo, Tokyo, Japan
| | - Malco Rossi
- Sección Movimientos Anormales, Departamento de Neurociencias, Fleni, Buenos Aires, Argentina; Argentine National Scientific and Technological Research Council (CONICET), Buenos Aires, Argentina
| | - Marcelo Merello
- Sección Movimientos Anormales, Departamento de Neurociencias, Fleni, Buenos Aires, Argentina; Argentine National Scientific and Technological Research Council (CONICET), Argentina; Pontificia Universidad Católica Argentina (UCA), Buenos Aires, Argentina
| | - Timothy Lynch
- Department of Neurology, The Dublin Neurological Institute at the Mater Misericordiae University Hospital, Dublin, Ireland; School of Medicine and Medical Sciences, University College Dublin, Dublin, Ireland
| | - Diana A Olszewska
- Department of Neurology, The Dublin Neurological Institute at the Mater Misericordiae University Hospital, Dublin, Ireland; School of Medicine and Medical Sciences, University College Dublin, Dublin, Ireland
| | - Shen-Yang Lim
- Division of Neurology and the Mah Pooi Soo & Tan Chin Nam Centre for Parkinson's & Related Disorders, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Azlina Ahmad-Annuar
- Department of Biomedical Science, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Ai Huey Tan
- Division of Neurology and the Mah Pooi Soo & Tan Chin Nam Centre for Parkinson's & Related Disorders, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Bashayer Al-Mubarak
- Behavioural Genetics Unit, Department of Genetics, Research Centre, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Hasmet Hanagasi
- Department of Neurology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | | | - Sibel Ertan
- Department of Neurology, School of Medicine, Koç University, Istanbul, Turkey
| | - Gençer Genç
- Department of Neurology, University of Health Sciences, Şişli Hamidiye Etfal Training and Research Hospital, İstanbul, Turkey
| | - Patricia de Carvalho Aguiar
- Hospital Israelita Albert Einstein, São Paulo, Brazil; Department of Neurology and Neurosurgery, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Melinda Barkhuizen
- DST/NWU Preclinical Drug Development Platform, North-West University, Potchefstroom, North-West, South Africa
| | - Marcia M G Pimentel
- Department of Genetics, Institute of Biology Roberto Alcantara Gomes, State University of Rio de Janeiro, Rio de Janeiro, Brazil
| | | | - Bart van de Warrenburg
- Department of Neurology, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Susan Bressman
- Department of Neurology, Beth Israel Medical Center, New York, New York, USA; Department of Neurology at Albert Einstein College of Medicine, New York, New York, USA
| | - Mathias Toft
- Department of Neurology, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Silke Appel-Cresswell
- Pacific Parkinson's Research Centre, Division of Neurology, Department of Medicine, Vancouver, British Columbia, Canada
| | - Anthony E Lang
- Edmond J. Safra Program in Parkinson's Disease, Division of Neurology, Department of Medicine, University of Toronto, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Matej Skorvanek
- Department of Neurology, Pavol Jozef Šafárik University in Košice, Košice, Slovakia; Department of Neurology, University Hospital L. Pasteur, Kosice, Slovakia
| | - Agnita J W Boon
- Department of Clinical Genetics, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Rejko Krüger
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg; Transversal Translational Medicine, Luxembourg Institute of Health (LIH), Strassen, Luxembourg; Parkinson Research Clinic, Centre Hospitalier de Luxembourg (CHL), Luxembourg, Luxembourg
| | - Esther M Sammler
- Neurology Department, Ninewells Hospital and Medical School, Dundee, United Kingdom; MRC Protein Phosphorylation and Ubiquitylation Unit, University of Dundee, Dundee, UK
| | - Vitor Tumas
- Behavioral and Movement Disorders Section, Ribeirão Preto Medical School, University of São Paulo, Brazil
| | - Bao-Rong Zhang
- Department of Neurology, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Gaetan Garraux
- Department of Neurology, Centre Hospitalier Universitaire (CHU) de Liège, Liège, Belgium; MoVeRe Group, GIGA-CRC In Vivo Imaging, University of Liege, Liège, Belgium
| | - Sun Ju Chung
- Medical Genetic Center, 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; Department of Neurology, Yongin Severance Hospital, Yonsei University Health System, Yongin, South Korea
| | - Juliane Winkelmann
- Institute of Neurogenomics, Helmholtz Zentrum Muenchen, Neuherberg, Germany; Neurogenetics, Technische Universitaet Muenchen, Munich, Germany; Institute of Human Genetics, Klinikum rechts der Isar der TUM, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Carolyn M Sue
- Department of Neurogenetics, Kolling Institute, University of Sydney, Sydney, New South Wales, Australia; Department of Neurology, Royal North Shore Hospital, St Leonards, New South Wales, Australia
| | - Eng-King Tan
- Department of Neurology, National Neuroscience Institute, Duke NUS Medical School, Singapore General Hospital, Singapore, Singapore
| | - Joana Damásio
- Department of Neurology, Hospital de Santo António - Centro Hospitalar Universitário do Porto, Porto, Portugal; UnIGENe, Instituto de Biologia Molecular e Celular (IBMC), Instituto de Investigação e Inovação em Saúde (i3S), Universidade do Porto, Portugal
| | - Péter Klivényi
- Department of Neurology, University of Szeged, Szeged, Hungary
| | - Vladimir S Kostic
- Department for Neurodegeneration, Clinic for Neurology CCS, Belgrade, Serbia
| | - David Arkadir
- Department of Neurology, Hadassah Medical Center and the Hebrew University, Jerusalem, Israel
| | - Mika Martikainen
- Neurocenter, Turku University Hospital, Turku, Finland; Clinical Neurosciences, Faculty of Medicine, University of Turku, Turku, Finland
| | - Vanderci Borges
- Department of Neurology and Neurosurgery, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Jens Michael Hertz
- Department of Clinical Genetics, Odense University Hospital, Odense C, Denmark
| | - Laura Brighina
- Department of Neurology, Milan Center for Neuroscience, University of Milano-Bicocca/San Gerardo Hospital, Monza, Italy
| | - Mariana Spitz
- Neurology Service, State University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Oksana Suchowersky
- Department of Medicine, Medical Genetics and Pediatrics, University of Alberta, Edmonton, Alberta, Canada
| | - Olaf Riess
- Institute of Medical Genetics and Applied Genomics, University of Tuebingen, Tuebingen, Germany
| | - Parimal Das
- Centre for Genetic Disorders, Institute of Science, Banaras Hindu University, Varanasi, Uttar Pradesh, India
| | - Brit Mollenhauer
- Movement Disorder Paracelsus-Elena-Klinik, Kassel, Germany; Department of Neurology, University Medical Center Göttingen, Göttingen, Germany
| | - Emilia M Gatto
- Movement Disorders, Department of Neurology, Instituto de Neurosciencias Buenos Aires, Buenos Aires, Argentina
| | - Maria Skaalum Petersen
- Centre of Health Science, University of the Faroe Islands, Tórshavn, Faroe Islands; Department of Occupational Medicine and Public Health, The Faroese Hospital System, Tórshavn, Faroe Islands
| | - Nobutaka Hattori
- Research Institute for Diseases of Old Age, Graduate School of Medicine, Juntendo University, Bunkyo, Tokyo, Japan
| | - Ruey-Meei Wu
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan; Department of Neurology, National Taiwan University College of Medicine, Taipei, Taiwan
| | | | - Enza Maria Valente
- Neurogenetics Research Centre, IRCCS Mondino Foundation, Pavia; Department of Molecular Medicine, University of Pavia, Pavia, Italy
| | - Jan O Aasly
- Department of Neurology, St. Olavs Hospital, Trondheim, Norway
- Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
| | - Anna Aasly
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Roy N Alcalay
- Department of Neurology, Columbia University, New York, New York, USA
| | - Avner Thaler
- Movement Disorders, Neurological Institute, Tel-Aviv Medical Center, Tel-Aviv, Israel; Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel; Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Matthew J Farrer
- Fixel Institute, Department of Neurology, University of Florida, Gainesville, Florida, USA
| | - Kathrin Brockmann
- Department of Neurodegenerative Diseases, University of Tuebingen, Tuebingen, Baden Wuerttemberg, Germany, Hertie Institute for Clinical Brain Research and German Centre for Neurodegenerative Diseases, Tuebingen, Germany
| | - Jean-Christophe Corvol
- Sorbonne University, Paris Brain Institute - ICM, Inserm, CNRS, Assistance Publique Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Department of Neurology, Paris, France
| | - Christine Klein
- Institute of Neurogenetics, University of Lübeck, Lübeck, Germany
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Perovnik M, Rus T, Schindlbeck KA, Eidelberg D. Functional brain networks in the evaluation of patients with neurodegenerative disorders. Nat Rev Neurol 2023; 19:73-90. [PMID: 36539533 DOI: 10.1038/s41582-022-00753-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/21/2022] [Indexed: 12/24/2022]
Abstract
Network analytical tools are increasingly being applied to brain imaging maps of resting metabolic activity (PET) or blood oxygenation-dependent signals (functional MRI) to characterize the abnormal neural circuitry that underlies brain diseases. This approach is particularly valuable for the study of neurodegenerative disorders, which are characterized by stereotyped spread of pathology along discrete neural pathways. Identification and validation of disease-specific brain networks facilitate the quantitative assessment of pathway changes over time and during the course of treatment. Network abnormalities can often be identified before symptom onset and can be used to track disease progression even in the preclinical period. Likewise, network activity can be modulated by treatment and might therefore be used as a marker of efficacy in clinical trials. Finally, early differential diagnosis can be achieved by simultaneously measuring the activity levels of multiple disease networks in an individual patient's scans. Although these techniques were originally developed for PET, over the past several years analogous methods have been introduced for functional MRI, a more accessible non-invasive imaging modality. This advance is expected to broaden the application of network tools to large and diverse patient populations.
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Affiliation(s)
- Matej Perovnik
- Department of Neurology, University Medical Center Ljubljana, Ljubljana, Slovenia.,Medical Faculty, University of Ljubljana, Ljubljana, Slovenia
| | - Tomaž Rus
- Department of Neurology, University Medical Center Ljubljana, Ljubljana, Slovenia.,Medical Faculty, University of Ljubljana, Ljubljana, Slovenia
| | | | - David Eidelberg
- Center for Neurosciences, The Feinstein Institutes for Medical Research, Manhasset, NY, USA.
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15
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Prasuhn J, Göttlich M, Ebeling B, Kourou S, Gerkan F, Bodemann C, Großer SS, Reuther K, Hanssen H, Brüggemann N. Assessment of Bioenergetic Deficits in Patients With Parkinson Disease and Progressive Supranuclear Palsy Using 31P-MRSI. Neurology 2022; 99:e2683-e2692. [PMID: 36195453 DOI: 10.1212/wnl.0000000000201288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Accepted: 08/10/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVE Bioenergetic disturbance, mainly caused by mitochondrial dysfunction, is an established pathophysiologic phenomenon in neurodegenerative movement disorders. The in vivo assessment of brain energy metabolism by 31phosphorus magnetic resonance spectroscopy imaging could provide pathophysiologic insights and serve in the differential diagnosis of parkinsonian disorders. In this study, we investigated such aspects of the underlying pathophysiology in patients with idiopathic Parkinson disease (PwPD) and progressive supranuclear palsy (PwPSP). METHODS In total, 30 PwPD, 16 PwPSP, and 25 healthy control subjects (HCs) underwent a clinical examination, structural magnetic resonance imaging, and 31phosphorus magnetic resonance spectroscopy imaging of the forebrain and basal ganglia in a cross-sectional study. RESULTS High-energy phosphate metabolites were remarkably decreased in PwPD, particularly in the basal ganglia (-42% compared with HCs and -43% compared with PwPSP, p < 0.0001). This result was not confounded by morphometric brain differences. By contrast, PwPSP had normal levels of high-energy energy metabolites. Thus, the combination of morphometric and metabolic neuroimaging was able to discriminate PwPD from PwPSP with an accuracy of up to 0.93 [95%-CI: 0.91-0.94]. DISCUSSION Our study shows that mitochondrial dysfunction and bioenergetic depletion contribute to idiopathic Parkinson disease pathophysiology but not to progressive supranuclear palsy. Combined morphometric and metabolic imaging could serve as an accompanying diagnostic biomarker in the neuroimaging-guided differential diagnosis of these parkinsonian disorders. CLASSIFICATION OF EVIDENCE This study provides Class III evidence that 31phosphorus magnetic resonance spectroscopy imaging combined with morphometric MRI can differentiate PwPD from PwPSP.
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Affiliation(s)
- Jannik Prasuhn
- From the Institute of Neurogenetics (J.P., B.E., S.K., F.G., C.B., S.S.G., K.R., H.H., N.B.) and Center for Brain, Behavior, and Metabolism (J.P., M.G., B.E., S.K., F.G., C.B., S.S.G., K.R., H.H., N.B.), University of Lübeck, Germany; and Department of Neurology (J.P., M.G., B.E., S.K., F.G., C.B., S.S.G., K.R., H.H., N.B.), University Medical Center Schleswig-Holstein, Germany
| | - Martin Göttlich
- From the Institute of Neurogenetics (J.P., B.E., S.K., F.G., C.B., S.S.G., K.R., H.H., N.B.) and Center for Brain, Behavior, and Metabolism (J.P., M.G., B.E., S.K., F.G., C.B., S.S.G., K.R., H.H., N.B.), University of Lübeck, Germany; and Department of Neurology (J.P., M.G., B.E., S.K., F.G., C.B., S.S.G., K.R., H.H., N.B.), University Medical Center Schleswig-Holstein, Germany
| | - Britt Ebeling
- From the Institute of Neurogenetics (J.P., B.E., S.K., F.G., C.B., S.S.G., K.R., H.H., N.B.) and Center for Brain, Behavior, and Metabolism (J.P., M.G., B.E., S.K., F.G., C.B., S.S.G., K.R., H.H., N.B.), University of Lübeck, Germany; and Department of Neurology (J.P., M.G., B.E., S.K., F.G., C.B., S.S.G., K.R., H.H., N.B.), University Medical Center Schleswig-Holstein, Germany
| | - Sofia Kourou
- From the Institute of Neurogenetics (J.P., B.E., S.K., F.G., C.B., S.S.G., K.R., H.H., N.B.) and Center for Brain, Behavior, and Metabolism (J.P., M.G., B.E., S.K., F.G., C.B., S.S.G., K.R., H.H., N.B.), University of Lübeck, Germany; and Department of Neurology (J.P., M.G., B.E., S.K., F.G., C.B., S.S.G., K.R., H.H., N.B.), University Medical Center Schleswig-Holstein, Germany
| | - Friederike Gerkan
- From the Institute of Neurogenetics (J.P., B.E., S.K., F.G., C.B., S.S.G., K.R., H.H., N.B.) and Center for Brain, Behavior, and Metabolism (J.P., M.G., B.E., S.K., F.G., C.B., S.S.G., K.R., H.H., N.B.), University of Lübeck, Germany; and Department of Neurology (J.P., M.G., B.E., S.K., F.G., C.B., S.S.G., K.R., H.H., N.B.), University Medical Center Schleswig-Holstein, Germany
| | - Christina Bodemann
- From the Institute of Neurogenetics (J.P., B.E., S.K., F.G., C.B., S.S.G., K.R., H.H., N.B.) and Center for Brain, Behavior, and Metabolism (J.P., M.G., B.E., S.K., F.G., C.B., S.S.G., K.R., H.H., N.B.), University of Lübeck, Germany; and Department of Neurology (J.P., M.G., B.E., S.K., F.G., C.B., S.S.G., K.R., H.H., N.B.), University Medical Center Schleswig-Holstein, Germany
| | - Sinja S Großer
- From the Institute of Neurogenetics (J.P., B.E., S.K., F.G., C.B., S.S.G., K.R., H.H., N.B.) and Center for Brain, Behavior, and Metabolism (J.P., M.G., B.E., S.K., F.G., C.B., S.S.G., K.R., H.H., N.B.), University of Lübeck, Germany; and Department of Neurology (J.P., M.G., B.E., S.K., F.G., C.B., S.S.G., K.R., H.H., N.B.), University Medical Center Schleswig-Holstein, Germany
| | - Katharina Reuther
- From the Institute of Neurogenetics (J.P., B.E., S.K., F.G., C.B., S.S.G., K.R., H.H., N.B.) and Center for Brain, Behavior, and Metabolism (J.P., M.G., B.E., S.K., F.G., C.B., S.S.G., K.R., H.H., N.B.), University of Lübeck, Germany; and Department of Neurology (J.P., M.G., B.E., S.K., F.G., C.B., S.S.G., K.R., H.H., N.B.), University Medical Center Schleswig-Holstein, Germany
| | - Henrike Hanssen
- From the Institute of Neurogenetics (J.P., B.E., S.K., F.G., C.B., S.S.G., K.R., H.H., N.B.) and Center for Brain, Behavior, and Metabolism (J.P., M.G., B.E., S.K., F.G., C.B., S.S.G., K.R., H.H., N.B.), University of Lübeck, Germany; and Department of Neurology (J.P., M.G., B.E., S.K., F.G., C.B., S.S.G., K.R., H.H., N.B.), University Medical Center Schleswig-Holstein, Germany
| | - Norbert Brüggemann
- From the Institute of Neurogenetics (J.P., B.E., S.K., F.G., C.B., S.S.G., K.R., H.H., N.B.) and Center for Brain, Behavior, and Metabolism (J.P., M.G., B.E., S.K., F.G., C.B., S.S.G., K.R., H.H., N.B.), University of Lübeck, Germany; and Department of Neurology (J.P., M.G., B.E., S.K., F.G., C.B., S.S.G., K.R., H.H., N.B.), University Medical Center Schleswig-Holstein, Germany.
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Pizarro-Galleguillos BM, Kunert L, Brüggemann N, Prasuhn J. Iron- and Neuromelanin-Weighted Neuroimaging to Study Mitochondrial Dysfunction in Patients with Parkinson's Disease. Int J Mol Sci 2022; 23:ijms232213678. [PMID: 36430157 PMCID: PMC9696602 DOI: 10.3390/ijms232213678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 11/03/2022] [Accepted: 11/04/2022] [Indexed: 11/11/2022] Open
Abstract
The underlying causes of Parkinson's disease are complex, and besides recent advances in elucidating relevant disease mechanisms, no disease-modifying treatments are currently available. One proposed pathophysiological hallmark is mitochondrial dysfunction, and a plethora of evidence points toward the interconnected nature of mitochondria in neuronal homeostasis. This also extends to iron and neuromelanin metabolism, two biochemical processes highly relevant to individual disease manifestation and progression. Modern neuroimaging methods help to gain in vivo insights into these intertwined pathways and may pave the road to individualized medicine in this debilitating disorder. In this narrative review, we will highlight the biological rationale for studying these pathways, how distinct neuroimaging methods can be applied in patients, their respective limitations, and which challenges need to be overcome for successful implementation in clinical studies.
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Affiliation(s)
- Benjamin Matis Pizarro-Galleguillos
- Facultad de Medicina, Universidad de Chile, Santiago 8380453, Chile
- Institute of Neurogenetics, University of Lübeck, 23588 Lübeck, Germany
- Department of Neurology, University Medical Center Schleswig-Holstein, Campus Lübeck, 23562 Lübeck, Germany
- Center for Brain, Behavior, and Metabolism, University of Lübeck, 23562 Lübeck, Germany
| | - Liesa Kunert
- Institute of Neurogenetics, University of Lübeck, 23588 Lübeck, Germany
- Department of Neurology, University Medical Center Schleswig-Holstein, Campus Lübeck, 23562 Lübeck, Germany
- Center for Brain, Behavior, and Metabolism, University of Lübeck, 23562 Lübeck, Germany
| | - Norbert Brüggemann
- Institute of Neurogenetics, University of Lübeck, 23588 Lübeck, Germany
- Department of Neurology, University Medical Center Schleswig-Holstein, Campus Lübeck, 23562 Lübeck, Germany
- Center for Brain, Behavior, and Metabolism, University of Lübeck, 23562 Lübeck, Germany
- Correspondence: ; Tel.: +49-451-500-43420; Fax: +49-451-500-43424
| | - Jannik Prasuhn
- Institute of Neurogenetics, University of Lübeck, 23588 Lübeck, Germany
- Department of Neurology, University Medical Center Schleswig-Holstein, Campus Lübeck, 23562 Lübeck, Germany
- Center for Brain, Behavior, and Metabolism, University of Lübeck, 23562 Lübeck, Germany
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17
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Dulski J, Uitti RJ, Ross OA, Wszolek ZK. Genetic architecture of Parkinson’s disease subtypes – Review of the literature. Front Aging Neurosci 2022; 14:1023574. [PMID: 36337703 PMCID: PMC9632166 DOI: 10.3389/fnagi.2022.1023574] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 10/03/2022] [Indexed: 11/13/2022] Open
Abstract
The heterogeneity of Parkinson’s disease (PD) has been recognized since its description by James Parkinson over 200 years ago. The complexity of motor and non-motor PD manifestations has led to many attempts of PD subtyping with different prognostic outcomes; however, the pathophysiological foundations of PD heterogeneity remain elusive. Genetic contributions to PD may be informative in understanding the underpinnings of PD subtypes. As such, recognizing genotype-phenotype associations may be crucial for successful gene therapy. We review the state of knowledge on the genetic architecture underlying PD subtypes, discussing the monogenic forms, as well as oligo- and polygenic risk factors associated with various PD subtypes. Based on our review, we argue for the unification of PD subtyping classifications, the dichotomy of studies on genetic factors and genetic modifiers of PD, and replication of results from previous studies.
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Affiliation(s)
- Jarosław Dulski
- Department of Neurology, Mayo Clinic, Jacksonville, FL, United States
- Division of Neurological and Psychiatric Nursing, Faculty of Health Sciences, Medical University of Gdańsk, Gdańsk, Poland
- Department of Neurology, St. Adalbert Hospital, Copernicus PL Ltd., Gdańsk, Poland
| | - Ryan J. Uitti
- Department of Neurology, Mayo Clinic, Jacksonville, FL, United States
| | - Owen A. Ross
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, United States
| | - Zbigniew K. Wszolek
- Department of Neurology, Mayo Clinic, Jacksonville, FL, United States
- *Correspondence: Zbigniew K. Wszolek,
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18
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Salamon A, Zádori D, Szpisjak L, Klivényi P, Vécsei L. The genetic background of Parkinson's disease and novel therapeutic targets. Expert Opin Ther Targets 2022; 26:827-836. [PMID: 36524726 DOI: 10.1080/14728222.2022.2153037] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
INTRODUCTION Parkinson's disease (PD) is the second most common neurodegenerative disease worldwide. The median age of disease onset is around 60 years. From a genetic point of view, PD is basically considered a sporadic, idiopathic disease, however, hereditary components can be detected in 5-10% of patients. Expanding data are available regarding the targeted molecular therapy of the disease. AREAS COVERED The aim of this current review article is to provide brief clinical and molecular insight into three important genetic forms (LRRK2, SNCA, GBA) of hereditary PD subtypes and to present the human clinical trials in relation to these forms of the disease. EXPERT OPINION These small hereditary subgroups are crucially important in drug development, because the general trend is that clinical trials that treat PD patients as a large group, without any separation, do not meet expectations. As a result, no long term conclusions can currently be drawn regarding the effectiveness of the molecules tested in these phase 1 and 2 studies. Further precise studies are needed in the near future.
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Affiliation(s)
- András Salamon
- Interdisciplinary Excellence Centre, Department of Neurology, Albert Szent-Györgyi Faculty of Medicine School, University of Szeged, Szeged, Hungary
| | - Dénes Zádori
- Interdisciplinary Excellence Centre, Department of Neurology, Albert Szent-Györgyi Faculty of Medicine School, University of Szeged, Szeged, Hungary
| | - László Szpisjak
- Interdisciplinary Excellence Centre, Department of Neurology, Albert Szent-Györgyi Faculty of Medicine School, University of Szeged, Szeged, Hungary
| | - Péter Klivényi
- Interdisciplinary Excellence Centre, Department of Neurology, Albert Szent-Györgyi Faculty of Medicine School, University of Szeged, Szeged, Hungary
| | - László Vécsei
- Interdisciplinary Excellence Centre, Department of Neurology, Albert Szent-Györgyi Faculty of Medicine School, University of Szeged, Szeged, Hungary.,Department of Neurology, ELKH-SZTE Neuroscience Research Group, Eötvös Loránd Research Network, University of Szeged, Szeged, Hungary
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19
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Prasuhn J, Kunert L, Brüggemann N. Neuroimaging Methods to Map In Vivo Changes of OXPHOS and Oxidative Stress in Neurodegenerative Disorders. Int J Mol Sci 2022; 23:ijms23137263. [PMID: 35806267 PMCID: PMC9266616 DOI: 10.3390/ijms23137263] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 06/24/2022] [Accepted: 06/25/2022] [Indexed: 12/11/2022] Open
Abstract
Mitochondrial dysfunction is a pathophysiological hallmark of most neurodegenerative diseases. Several clinical trials targeting mitochondrial dysfunction have been performed with conflicting results. Reliable biomarkers of mitochondrial dysfunction in vivo are thus needed to optimize future clinical trial designs. This narrative review highlights various neuroimaging methods to probe mitochondrial dysfunction. We provide a general overview of the current biological understanding of mitochondrial dysfunction in degenerative brain disorders and how distinct neuroimaging methods can be employed to map disease-related changes. The reviewed methodological spectrum includes positron emission tomography, magnetic resonance, magnetic resonance spectroscopy, and near-infrared spectroscopy imaging, and how these methods can be applied to study alterations in oxidative phosphorylation and oxidative stress. We highlight the advantages and shortcomings of the different neuroimaging methods and discuss the necessary steps to use these for future research. This review stresses the importance of neuroimaging methods to gain deepened insights into mitochondrial dysfunction in vivo, its role as a critical disease mechanism in neurodegenerative diseases, the applicability for patient stratification in interventional trials, and the quantification of individual treatment responses. The in vivo assessment of mitochondrial dysfunction is a crucial prerequisite for providing individualized treatments for neurodegenerative disorders.
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Affiliation(s)
- Jannik Prasuhn
- Institute of Neurogenetics, University of Lübeck, 23538 Lübeck, Germany; (J.P.); (L.K.)
- Department of Neurology, University Medical Center Schleswig Holstein, Campus Lübeck, 23538 Lübeck, Germany
- Center for Brain, Behavior and Metabolism, University of Lübeck, 23562 Lübeck, Germany
| | - Liesa Kunert
- Institute of Neurogenetics, University of Lübeck, 23538 Lübeck, Germany; (J.P.); (L.K.)
- Department of Neurology, University Medical Center Schleswig Holstein, Campus Lübeck, 23538 Lübeck, Germany
- Center for Brain, Behavior and Metabolism, University of Lübeck, 23562 Lübeck, Germany
| | - Norbert Brüggemann
- Institute of Neurogenetics, University of Lübeck, 23538 Lübeck, Germany; (J.P.); (L.K.)
- Department of Neurology, University Medical Center Schleswig Holstein, Campus Lübeck, 23538 Lübeck, Germany
- Center for Brain, Behavior and Metabolism, University of Lübeck, 23562 Lübeck, Germany
- Correspondence: ; Tel.: +49-451-500-43420; Fax: +49-451-500-43424
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20
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Zhou Y, Jia E, Sheng Y, Qiao Y, Wang Y, Shi H, Liu Z, Pan M, Tu J, Bai Y, Zhao X, Ge Q, Lu Z. Sensitive and Low-Bias Transcriptome Sequencing Using Agarose PCR. ACS APPLIED MATERIALS & INTERFACES 2022; 14:19154-19167. [PMID: 35446027 DOI: 10.1021/acsami.2c02133] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Transcriptome sequencing has emerged as an important research tool for exploring the mysteries of life at the single-cell level. However, its wide application is limited by the bias associated with the amplification reactions which is essential for library building of trace RNA. In this study, low-melting-point agarose was added to the amplification reactions to take advantage of its molecular crowding effect and polymer cross-linked structure to improve the sensitivity of the reactions and reduce bias. To further evaluate the performance of the method, it was applied to transcriptome sequencing of microregion samples from brain tissue sections of mice with Parkinson's disease at the single cell level. The results showed that agarose PCR had better performance than in-tube PCR. Further application of agarose PCR to transcriptome library sequencing could obtain data closer to that of unamplified. With the addition of low melting point agarose, the sensitivity of the amplification reaction was significantly increased, while homogeneity was increased by approximately 2-fold. Not only that, but this work also provides 11% sensitivity improvement for spatial transcriptomic study on Parkinson's disease-associated gene detection. The agarose PCR provides a new tool for efficient and homogeneous amplification of trace samples and can be widely used for spatial transcriptome library sequencing and studies.
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Affiliation(s)
- Ying Zhou
- State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China
| | - Erteng Jia
- State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China
| | - Yuqi Sheng
- State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China
| | - Yi Qiao
- State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China
| | - Ying Wang
- State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China
| | - Huajuan Shi
- State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China
| | - Zhiyu Liu
- State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China
| | - Min Pan
- School of Medicine, Southeast University, Nanjing 210097, China
| | - Jing Tu
- State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China
| | - Yunfei Bai
- State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China
| | - Xiangwei Zhao
- State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China
| | - Qinyu Ge
- State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China
| | - Zuhong Lu
- State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China
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21
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Zeng Y, Huang J, Tang X, Wang T, Chen S. The Impact of Triangle Hierarchical Management on Self-Management Behavior and Quality of Survival in Parkinson's Patients. Front Surg 2022; 9:878477. [PMID: 35495769 PMCID: PMC9051069 DOI: 10.3389/fsurg.2022.878477] [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: 02/18/2022] [Accepted: 03/17/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectiveTo investigate the effect of Triangle tiered and graded management on the self-management behavior and quality of survival of Parkinson's Disease (PD) patients.MethodsEighty ambulatory PD patients admitted to the neurology outpatient clinic of our hospital from June 2020 to January 2021 were selected for the study. Eighty patients were divided into 40 cases each in the test group and the control group using the random number table method. Patients in the control group were given conventional treatment and care, while in the test group, Triangle hierarchical management was applied on the basis of the control group. Non-motor symptoms [assessed by the Montreal Cognitive Inventory (MoCA), the Scale for Outcomes in PD for Autonomic Symptoms disability Scale (SCOPA-DS) and the Nocturnal Scale (SCOPA-NS)], motor symptoms [assessed by the Functional Gait Assessment (FGA), the Modified Ashworth Scale, and the Unified Parkinson's Disease Rating Scale (UPDRS-III)], quality of life (assessed by Barthel Index), medication adherence (self-administered medication adherence questionnaire), quality of survival (assessed by the 39-item Parkinson's Disease Quality of Survival Questionnaire, PDQ-39), and self-management effectiveness (assessed by the Chronic Disease Self-Efficacy Scale, symptom management and disease co-management) were compared between the two groups before and after the intervention. The two groups were also observed for satisfaction with care.ResultsAfter the intervention, the MoCA score, FGA score, Barthel Index, Medication adherence and all scores of self-management effectiveness were significantly higher in the test group than in the control group (P < 0.05); the SCOPA-DS score, SCOPA-NS score, Ashworth score, UPDRS-III score and PDQ-39 score were significantly lower than in the control group (P < 0.05). Satisfaction with nursing care was significantly higher in the test group than in the control group (P < 0.05).ConclusionThe application of Triangle's tiered and graded management to the home care of ambulatory PD patients was effective in improving their non-motor and motor symptoms, their ability to perform daily activities, medication adherence and self-management effectiveness, and their overall survival outcome.
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Affiliation(s)
- Yahua Zeng
- The First Affiliated Hospital, Department of Rehabilitation, Hengyang Medical School, University of South China, Hengyang, China
| | - Jianghua Huang
- The First Affiliated Hospital, Department of Rehabilitation, Hengyang Medical School, University of South China, Hengyang, China
| | - Xuan Tang
- The First Affiliated Hospital, Department of Rehabilitation, Hengyang Medical School, University of South China, Hengyang, China
| | - Ting Wang
- The First Affiliated Hospital, Department of Neurology, Hengyang Medical School, University of South China, Hengyang, China
| | - Shuangqin Chen
- The First Affiliated Hospital, Department of Neurology, Hengyang Medical School, University of South China, Hengyang, China
- *Correspondence: Shuangqin Chen
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22
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Parkinson's Disease Subtyping Using Clinical Features and Biomarkers: Literature Review and Preliminary Study of Subtype Clustering. Diagnostics (Basel) 2022; 12:diagnostics12010112. [PMID: 35054279 PMCID: PMC8774435 DOI: 10.3390/diagnostics12010112] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 12/31/2021] [Accepted: 01/03/2022] [Indexed: 12/29/2022] Open
Abstract
The second most common progressive neurodegenerative disorder, Parkinson’s disease (PD), is characterized by a broad spectrum of symptoms that are associated with its progression. Several studies have attempted to classify PD according to its clinical manifestations and establish objective biomarkers for early diagnosis and for predicting the prognosis of the disease. Recent comprehensive research on the classification of PD using clinical phenotypes has included factors such as dominance, severity, and prognosis of motor and non-motor symptoms and biomarkers. Additionally, neuroimaging studies have attempted to reveal the pathological substrate for motor symptoms. Genetic and transcriptomic studies have contributed to our understanding of the underlying molecular pathogenic mechanisms and provided a basis for classifying PD. Moreover, an understanding of the heterogeneity of clinical manifestations in PD is required for a personalized medicine approach. Herein, we discuss the possible subtypes of PD based on clinical features, neuroimaging, and biomarkers for developing personalized medicine for PD. In addition, we conduct a preliminary clustering using gait features for subtyping PD. We believe that subtyping may facilitate the development of therapeutic strategies for PD.
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23
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Inorganic Nanomaterial for Biomedical Imaging of Brain Diseases. Molecules 2021; 26:molecules26237340. [PMID: 34885919 PMCID: PMC8658999 DOI: 10.3390/molecules26237340] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 09/27/2021] [Accepted: 10/05/2021] [Indexed: 01/10/2023] Open
Abstract
In the past few decades, brain diseases have taken a heavy toll on human health and social systems. Magnetic resonance imaging (MRI), photoacoustic imaging (PA), computed tomography (CT), and other imaging modes play important roles in disease prevention and treatment. However, the disadvantages of traditional imaging mode, such as long imaging time and large noise, limit the effective diagnosis of diseases, and reduce the precision treatment of diseases. The ever-growing applications of inorganic nanomaterials in biomedicine provide an exciting way to develop novel imaging systems. Moreover, these nanomaterials with special physicochemical characteristics can be modified by surface modification or combined with functional materials to improve targeting in different diseases of the brain to achieve accurate imaging of disease regions. This article reviews the potential applications of different types of inorganic nanomaterials in vivo imaging and in vitro detection of different brain disease models in recent years. In addition, the future trends, opportunities, and disadvantages of inorganic nanomaterials in the application of brain diseases are also discussed. Additionally, recommendations for improving the sensitivity and accuracy of inorganic nanomaterials in screening/diagnosis of brain diseases.
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Mata IF. Navigating the open sea of commercial genetic testing in Parkinson's disease. Parkinsonism Relat Disord 2021; 92:105-106. [PMID: 34774427 DOI: 10.1016/j.parkreldis.2021.10.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Ignacio F Mata
- Genomic Medicine Institute, Lerner Research Institute, R4-006, Cleveland Clinic Foundation, 9500 Euclid Ave., Cleveland, OH, 44195, USA.
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