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Paola Caminiti S, Gallo S, Menegon F, Naldi A, Comi C, Tondo G. Lifestyle Modulators of Neuroplasticity in Parkinson's Disease: Evidence in Human Neuroimaging Studies. CNS & NEUROLOGICAL DISORDERS DRUG TARGETS 2024; 23:602-613. [PMID: 37326116 DOI: 10.2174/1871527322666230616121213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 04/25/2023] [Accepted: 05/17/2023] [Indexed: 06/17/2023]
Abstract
Parkinson's disease (PD) is a neurodegenerative disease characterized by both motor and non-motor symptoms. A progressive neuronal loss and the consequent clinical impairment lead to deleterious effects on daily living and quality of life. Despite effective symptomatic therapeutic approaches, no disease-modifying therapies are currently available. Emerging evidence suggests that adopting a healthy lifestyle can improve the quality of life of PD patients. In addition, modulating lifestyle factors can positively affect the microstructural and macrostructural brain levels, corresponding to clinical improvement. Neuroimaging studies may help to identify the mechanisms through which physical exercise, dietary changes, cognitive enrichment, and exposure to substances modulate neuroprotection. All these factors have been associated with a modified risk of developing PD, with attenuation or exacerbation of motor and non-motor symptomatology, and possibly with structural and molecular changes. In the present work, we review the current knowledge on how lifestyle factors influence PD development and progression and the neuroimaging evidence for the brain structural, functional, and molecular changes induced by the adoption of positive or negative lifestyle behaviours.
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Affiliation(s)
| | - Silvia Gallo
- Neurology Unit, Department of Translational Medicine, Movement Disorders Centre, University of Piemonte Orientale, 28100 Novara, Italy
| | - Federico Menegon
- Neurology Unit, Department of Translational Medicine, Movement Disorders Centre, University of Piemonte Orientale, 28100 Novara, Italy
| | - Andrea Naldi
- Neurology Unit, San Giovanni Bosco Hospital, 10154 Turin, Italy
| | - Cristoforo Comi
- Neurology Unit, Department of Translational Medicine, S. Andrea Hospital, University of Piemonte Orientale, 13100 Vercelli, Italy
| | - Giacomo Tondo
- Neurology Unit, Department of Translational Medicine, S. Andrea Hospital, University of Piemonte Orientale, 13100 Vercelli, Italy
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Chahid Y, Sheikh ZH, Mitropoulos M, Booij J. A systematic review of the potential effects of medications and drugs of abuse on dopamine transporter imaging using [ 123I]I-FP-CIT SPECT in routine practice. Eur J Nucl Med Mol Imaging 2023; 50:1974-1987. [PMID: 36847827 PMCID: PMC10199883 DOI: 10.1007/s00259-023-06171-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 02/18/2023] [Indexed: 03/01/2023]
Abstract
PURPOSE In routine practice, dopamine transporter (DAT) imaging is frequently used as a diagnostic tool to support the diagnosis of Parkinson's disease or dementia with Lewy bodies. In 2008, we published a review on which medications and drugs of abuse may influence striatal [123I]I-FP-CIT binding and consequently may influence the visual read of an [123I]I-FP-CIT SPECT scan. We made recommendations on which drugs should be withdrawn before performing DAT imaging in routine practice. Here, we provide an update of the original work based on published research since 2008. METHODS We performed a systematic review of literature without language restriction from January 2008 until November 2022 to evaluate the possible effects of medications and drugs of abuse, including the use of tobacco and alcohol, on striatal DAT binding in humans. RESULTS The systematic literature search identified 838 unique publications, of which 44 clinical studies were selected. Using this approach, we found additional evidence to support our original recommendations as well as some new findings on potential effect of other medications on striatal DAT binding. Consequently, we updated the list of medications and drugs of abuse that may influence the visual read of [123I]I-FP-CIT SPECT scans in routine clinical practice. CONCLUSION We expect that a timely withdrawal of these medications and drugs of abuse before DAT imaging may reduce the incidence of false-positive reporting. Nevertheless, the decision to withdraw any medication must be made by the specialist in charge of the patient's care and considering the pros and cons of doing so.
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Affiliation(s)
- Youssef Chahid
- Amsterdam UMC location University of Amsterdam, Radiology and Nuclear Medicine, Meibergdreef 9, Amsterdam, The Netherlands.
- Amsterdam UMC location University of Amsterdam, Clinical Pharmacy, Meibergdreef 9, Amsterdam, The Netherlands.
| | - Zulfiqar H Sheikh
- GE Healthcare, Pharmaceutical Diagnostics, Nightingales Ln, Chalfont Saint Giles, United Kingdom
| | - Max Mitropoulos
- GE Healthcare, Pharmaceutical Diagnostics, Nightingales Ln, Chalfont Saint Giles, United Kingdom
| | - Jan Booij
- Amsterdam UMC location University of Amsterdam, Radiology and Nuclear Medicine, Meibergdreef 9, Amsterdam, The Netherlands
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Shen B, Lin Y, Bi C, Zhou S, Bai Z, Zheng G, Zhou J. Translational Informatics for Parkinson's Disease: from Big Biomedical Data to Small Actionable Alterations. GENOMICS, PROTEOMICS & BIOINFORMATICS 2019; 17:415-429. [PMID: 31786313 PMCID: PMC6943761 DOI: 10.1016/j.gpb.2018.10.007] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/21/2018] [Revised: 08/29/2018] [Accepted: 11/02/2018] [Indexed: 02/05/2023]
Abstract
Parkinson's disease (PD) is a common neurological disease in elderly people, and its morbidity and mortality are increasing with the advent of global ageing. The traditional paradigm of moving from small data to big data in biomedical research is shifting toward big data-based identification of small actionable alterations. To highlight the use of big data for precision PD medicine, we review PD big data and informatics for the translation of basic PD research to clinical applications. We emphasize some key findings in clinically actionable changes, such as susceptibility genetic variations for PD risk population screening, biomarkers for the diagnosis and stratification of PD patients, risk factors for PD, and lifestyles for the prevention of PD. The challenges associated with the collection, storage, and modelling of diverse big data for PD precision medicine and healthcare are also summarized. Future perspectives on systems modelling and intelligent medicine for PD monitoring, diagnosis, treatment, and healthcare are discussed in the end.
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Affiliation(s)
- Bairong Shen
- Institutes for Systems Genetics, West China Hospital, Sichuan University, Chengdu 610041, China.
| | - Yuxin Lin
- Center for Systems Biology, Soochow University, Suzhou 215006, China
| | - Cheng Bi
- Center for Systems Biology, Soochow University, Suzhou 215006, China
| | - Shengrong Zhou
- Center for Systems Biology, Soochow University, Suzhou 215006, China
| | - Zhongchen Bai
- Center for Translational Biomedical Informatics, Guizhou University School of Medicine, Guiyang 550025, China
| | - Guangmin Zheng
- Center for Translational Biomedical Informatics, Guizhou University School of Medicine, Guiyang 550025, China
| | - Jing Zhou
- Center for Translational Biomedical Informatics, Guizhou University School of Medicine, Guiyang 550025, China
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Gigante AF, Asabella AN, Iliceto G, Martino T, Ferrari C, Defazio G, Rubini G. Chronic coffee consumption and striatal DAT-SPECT findings in Parkinson's disease. Neurol Sci 2018; 39:551-555. [PMID: 29362953 DOI: 10.1007/s10072-018-3253-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2017] [Accepted: 01/13/2018] [Indexed: 11/25/2022]
Abstract
Coffee may interfere with the dopaminergic transmission, and this action would possibly enhance motor activity and exert an antidyskinetic effect in Parkinson's disease (PD). This study aimed to see whether coffee habit could be associated with change in striatal dopamine active transporter (DAT)-single photon emission computed tomography (SPECT) imaging in PD. A total of 83 PD patients (71 current coffee drinkers and 12 never drinkers) underwent a DAT-SPECT study, using [123I]FP-CIT as radionuclide. Socio-demographic and clinical information as well as smoking habit was collected at the time of imaging acquisition. The Unified Parkinson's Disease Rating Scale part III was used to evaluate disease severity. On multivariable analysis, chronic coffee consumption was not associated with any significant change in striatal uptake of the radionuclide. However, the number of years patients drunk coffee was correlated with a significant increase in age at PD onset (p < 0.001). Confirming a previous report, current cigarette smoking was associated with a reduction of radionuclide uptake in putamen and caudate (p < 0.001).
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Affiliation(s)
- Angelo Fabio Gigante
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, "Aldo Moro" University of Bari, Bari, Italy
| | | | - Giovanni Iliceto
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, "Aldo Moro" University of Bari, Bari, Italy
| | - Tommaso Martino
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, "Aldo Moro" University of Bari, Bari, Italy.
| | - Cristina Ferrari
- Nuclear Medicine Unit - D.I.M, "Aldo Moro" University of Bari, Bari, Italy
| | - Giovanni Defazio
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, "Aldo Moro" University of Bari, Bari, Italy.,Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Giuseppe Rubini
- Nuclear Medicine Unit - D.I.M, "Aldo Moro" University of Bari, Bari, Italy
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Lee Y, Oh JS, Chung SJ, Chung SJ, Kim SJ, Nam CM, Lee PH, Kim JS, Sohn YH. Does smoking impact dopamine neuronal loss in de novo Parkinson disease? Ann Neurol 2017; 82:850-854. [DOI: 10.1002/ana.25082] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2017] [Revised: 10/16/2017] [Accepted: 10/17/2017] [Indexed: 11/10/2022]
Affiliation(s)
- Yoonju Lee
- Department of Neurology; Yonsei University College of Medicine; Seoul South Korea
| | - Jungsu S. Oh
- Department of Nuclear Medicine, Asan Medical Center, College of Medicine; University of Ulsan; Seoul South Korea
| | - Seok Jong Chung
- Department of Neurology; Yonsei University College of Medicine; Seoul South Korea
| | - Su Jin Chung
- Department of Neurology; Yonsei University College of Medicine; Seoul South Korea
| | - Soo-Jong Kim
- Department of Nuclear Medicine, Asan Medical Center, College of Medicine; University of Ulsan; Seoul South Korea
| | - Chung Mo Nam
- Department of Preventive Medicine; Yonsei University College of Medicine; Seoul South Korea
| | - Phil Hyu Lee
- Department of Neurology; Yonsei University College of Medicine; Seoul South Korea
- Severance Biomedical Science Institute; Yonsei University College of Medicine; Seoul South Korea
| | - Jae Seung Kim
- Department of Nuclear Medicine, Asan Medical Center, College of Medicine; University of Ulsan; Seoul South Korea
| | - Young H. Sohn
- Department of Neurology; Yonsei University College of Medicine; Seoul South Korea
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Kardani J, Sethi R, Roy I. Nicotine slows down oligomerisation of α-synuclein and ameliorates cytotoxicity in a yeast model of Parkinson's disease. Biochim Biophys Acta Mol Basis Dis 2017; 1863:1454-1463. [DOI: 10.1016/j.bbadis.2017.02.002] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2016] [Revised: 01/23/2017] [Accepted: 02/02/2017] [Indexed: 11/26/2022]
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