1
|
She Y, He Y, Wu J, Liu N. Association between the sarcopenia-related traits and Parkinson's disease: A bidirectional two-sample Mendelian randomization study. Arch Gerontol Geriatr 2024; 122:105374. [PMID: 38452652 DOI: 10.1016/j.archger.2024.105374] [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: 12/14/2023] [Revised: 01/28/2024] [Accepted: 02/19/2024] [Indexed: 03/09/2024]
Abstract
OBJECTIVE To explore the causal association between sarcopenia-related traits and Parkinson's disease by Mendelian randomization (MR) approach. METHODS A genome-wide association study (GWAS) of sarcopenia-related traits was done at the UK Biobank (UKB). The traits were appendicular lean mass, low hand grip strength (including the European Working Group on Sarcopenia in Older People (EWGSOP) and the Foundation for the National Institutes of Health (FNIH) criteria and usual walking pace. The International Parkinson's Disease Genomics Consortium (IPDGC) gave us GWAS data for Parkinson's disease (PD). We used three different types of MR analyses: including Inverse-variance weighted (IVW), Mendelian randomized Egger regression (MR-Egger), and weighted median methods (both weighted and simple modes). RESULTS The MR analysis showed that low hand grip strength was negatively associated with the risk of developing Parkinson's disease, including EWGSOP criterion (odds ratio (OR) = 0.734; 95% confidence interval (CI) = 0.575-0.937, P = 0.013) and FNIH criterion (OR = 0.619; 95% CI = 0.419-0.914, P = 0.016), and usual walking pace was also a risk factor for Parkinson's disease (OR = 3.307, 95% CI = 1.277-8.565, P = 0.014). CONCLUSIONS In European population, low hand grip strength is negatively associated with the risk of developing Parkinson's disease, and usual walking pace is also a risk factor for Parkinson's disease. Further exploration of the potential genetic mechanisms underlying hand grip strength and Parkinson's disease and the potential relationship between walking pace, balance, and falls in Parkinson's patients may help to reduce the burden of sarcopenia and Parkinson's disease.
Collapse
Affiliation(s)
- Yingqi She
- Kiang Wu Nursing College of Macau, Avenida do Hospital das Ilhas no.447, Coloane, RAEM, 999078, Macau, China
| | - Yaming He
- Kiang Wu Nursing College of Macau, Avenida do Hospital das Ilhas no.447, Coloane, RAEM, 999078, Macau, China
| | - Jianwei Wu
- Kiang Wu Nursing College of Macau, Avenida do Hospital das Ilhas no.447, Coloane, RAEM, 999078, Macau, China.
| | - Ning Liu
- Kiang Wu Nursing College of Macau, Avenida do Hospital das Ilhas no.447, Coloane, RAEM, 999078, Macau, China.
| |
Collapse
|
2
|
Wu KM, Kuo K, Deng YT, Yang L, Zhang YR, Chen SD, Tan L, Dong Q, Feng JF, Cheng W, Yu JT. Association of grip strength and walking pace with the risk of incident Parkinson's disease: a prospective cohort study of 422,531 participants. J Neurol 2024; 271:2529-2538. [PMID: 38265471 DOI: 10.1007/s00415-024-12194-7] [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: 10/24/2023] [Revised: 12/14/2023] [Accepted: 01/14/2024] [Indexed: 01/25/2024]
Abstract
BACKGROUND Muscle weakness is a prominent feature of Parkinson's disease, but whether the occurrence of this deficit in healthy adults is associated with subsequent PD diagnosis remains unclear. OBJECTIVE This study sought to examine the relationship between muscle strength, represented by grip strength and walking pace, and the risk of incident PD. METHODS A total of 422,531 participants from the UK biobank were included in this study. Longitudinal associations of grip strength and walking pace with the risk of incident PD were investigated by Cox proportional hazard models adjusting for several well-established risk factors. Subgroup and sensitivity analyses were also conducted for further validation. RESULTS After a median follow-up of 9.23 years, 2,118 (0.5%) individuals developed incident PD. For per 5 kg increment of absolute grip strength, there was a significant 10.2% reduction in the risk of incident PD (HR = 0.898, 95% CI [0.872-0.924], P < 0.001). Similarly, per 0.05 kg/kg increment of relative grip strength was related to a 9.2% reduced risk of incident PD (HR = 0.908, 95% CI [0.887-0.929], P < 0.001). Notably, the associations remained consistent when grip strength was calculated as quintiles. Moreover, participants with a slower walking pace demonstrated an elevated risk of incident PD (HR = 1.231, 95%CI [1.075-1.409], P = 0.003). Subgroup and sensitivity analyses further validated the robustness of the observed associations. CONCLUSION Our findings showed a negative association of grip strength and walking pace with the risk of incident PD independent of important confounding factors. These results hold potential implications for the early screening of people at high-risk of PD.
Collapse
Affiliation(s)
- Kai-Min Wu
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, National Center for Neurological Disorders, Fudan University, 12th Wulumuqi Zhong Road, Shanghai, 200040, China
| | - Kevin Kuo
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, National Center for Neurological Disorders, Fudan University, 12th Wulumuqi Zhong Road, Shanghai, 200040, China
| | - Yue-Ting Deng
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, National Center for Neurological Disorders, Fudan University, 12th Wulumuqi Zhong Road, Shanghai, 200040, China
| | - Liu Yang
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, National Center for Neurological Disorders, Fudan University, 12th Wulumuqi Zhong Road, Shanghai, 200040, China
| | - Ya-Ru Zhang
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, National Center for Neurological Disorders, Fudan University, 12th Wulumuqi Zhong Road, Shanghai, 200040, China
| | - Shi-Dong Chen
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, National Center for Neurological Disorders, Fudan University, 12th Wulumuqi Zhong Road, Shanghai, 200040, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Qiang Dong
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, National Center for Neurological Disorders, Fudan University, 12th Wulumuqi Zhong Road, Shanghai, 200040, China
| | - Jian-Feng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education, Fudan University, Shanghai, China
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, China
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
- Zhangjiang Fudan International Innovation Center, Shanghai, China
| | - Wei Cheng
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, National Center for Neurological Disorders, Fudan University, 12th Wulumuqi Zhong Road, Shanghai, 200040, China
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education, Fudan University, Shanghai, China
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, China
| | - Jin-Tai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, National Center for Neurological Disorders, Fudan University, 12th Wulumuqi Zhong Road, Shanghai, 200040, China.
| |
Collapse
|
3
|
Maraki MI, Yannakoulia M, Xiromerisiou G, Stefanis L, Charisis S, Giagkou N, Kosmidis MH, Dardiotis E, Hadjigeorgiou GM, Sakka P, Scarmeas N, Stamelou M. Mediterranean diet is associated with a lower probability of prodromal Parkinson's disease and risk for Parkinson's disease/dementia with Lewy bodies: A longitudinal study. Eur J Neurol 2023; 30:934-942. [PMID: 36692092 DOI: 10.1111/ene.15698] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 01/14/2023] [Accepted: 01/18/2023] [Indexed: 01/25/2023]
Abstract
BACKGROUND AND PURPOSE Lifestyle factors have been implicated in the long-lasting neurodegenerative process in prodromal Parkinson's disease (pPD). The aim was to investigate the associations between adherence to a Mediterranean diet (MeDi) and longitudinal changes of pPD probability and the development of Parkinson's disease (PD) or pPD in a Mediterranean older population. METHODS Data from the Hellenic Longitudinal Investigation of Aging and Diet cohort (community-dwelling individuals, aged ≥ 65 years) were used. A detailed food frequency questionnaire was used to evaluate dietary intake and calculate MeDi adherence score, ranging from 0 to 55, with higher scores indicating higher adherence. The probability of pPD was calculated according to the updated Movement Disorder Society research criteria. RESULTS In all, 1047 non-PD/dementia with Lewy bodies (DLB) participants were followed for 3 ± 1 years. MeDi adherence was associated with lower increase in pPD probability over time (b = -0.003, 95% confidence interval -0.006 to -0.001, p = 0.010). Forty-nine participants had incident possible/probable pPD (i.e., pPD probability ≥ 30%). Compared to the participants in the lowest quartile of MeDi adherence, those in the higher quartiles had an approximately 60%-70% lower risk for possible/probable pPD (p for trend 0.003). MeDi-pPD associations were driven by both motor and non-motor pPD markers and not from risk markers. Also, 21 participants were diagnosed with PD/DLB at follow-up. For each unit increase in the MeDi score, there was a 9%-10% lower risk for PD/DLB (hazard ratio 0.906 [95% confidence interval 0.823-0.997], p = 0.044). CONCLUSIONS Mediterranean diet adherence is associated with lower increase in pPD probability over time and lower possible/probable pPD and PD/DLB incidence in older Mediterranean people. More studies are needed to confirm our results in other populations.
Collapse
Affiliation(s)
- Maria I Maraki
- Department of Nutrition and Dietetics, School of Health Sciences, Hellenic Mediterranean University, Crete, Greece
- Section of Sport Medicine and Biology of Exercise, School of Physical Education and Sport Science, National and Kapodistrian University of Athens, Athens, Greece
| | - Mary Yannakoulia
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
| | | | - Leonidas Stefanis
- Center of Clinical, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
- First Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens Medical School, Greece
| | - Sokratis Charisis
- First Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens Medical School, Greece
- Department of Neurology, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| | - Nikolaos Giagkou
- First Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens Medical School, Greece
| | - Mary H Kosmidis
- Laboratory of Cognitive Neuroscience, School of Psychology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | | | | | - Paraskevi Sakka
- Athens Association of Alzheimer's Disease and Related Disorders, Marousi, Greece
| | - Nikolaos Scarmeas
- First Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens Medical School, Greece
- Department of Neurology, Taub Institute for Research in Alzheimer's Disease and the Aging Brain, Gertrude H. Sergievsky Center, Columbia University, New York, USA
| | - Maria Stamelou
- First Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens Medical School, Greece
- Parkinson's Disease and Movement Disorders Department HYGEIA Hospital, Athens, Greece
| |
Collapse
|
4
|
Siokas V, Liampas I, Lyketsos CG, Dardiotis E. Association between Motor Signs and Cognitive Performance in Cognitively Unimpaired Older Adults: A Cross-Sectional Study Using the NACC Database. Brain Sci 2022; 12:1365. [PMID: 36291299 PMCID: PMC9599814 DOI: 10.3390/brainsci12101365] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 10/05/2022] [Accepted: 10/06/2022] [Indexed: 11/16/2022] Open
Abstract
Aiming to examine whether specific motor signs are associated with worse performance in specific cognitive domains among cognitively unimpaired (CU) individuals, we performed a cross-sectional analysis of data from the baseline evaluations of older, CU participants from the National Alzheimer's Coordinating Center (NACC) Uniform Data Set. In total, 8149 CU (≥60 years) participants were included. Of these, 905 individuals scored ≥ 2 on at least one of the motor domains of the Unified Parkinson's Disease Rating Scale part III (UPDRSIII). Cognitively impaired individuals, participants with psychiatric disorders and/or under treatment with antipsychotic, anxiolytic, sedative or hypnotic agents were excluded. Nine motor signs were examined: hypophonia, masked facies, resting tremor, action/postural tremor, rigidity, bradykinesia, impaired chair rise, impaired posture/gait and postural instability. Their association with performance on episodic memory, semantic memory, language, attention, processing speed or executive function was assessed using crude and adjusted linear regression models. Individuals with impaired chair rise had worse episodic memory, semantic memory, processing speed and executive function, while those with bradykinesia had worse language, processing speed and executive function. Sensitivity analyses, by excluding participants with cerebrovascular disease or PD, or other Parkinsonism, produced similar results with the exception of the relationship between bradykinesia and language performance.
Collapse
Affiliation(s)
- Vasileios Siokas
- Department of Neurology, University Hospital of Larissa, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41100 Larissa, Greece
| | - Ioannis Liampas
- Department of Neurology, University Hospital of Larissa, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41100 Larissa, Greece
| | - Constantine G. Lyketsos
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - Efthimios Dardiotis
- Department of Neurology, University Hospital of Larissa, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41100 Larissa, Greece
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| |
Collapse
|
5
|
Ketogenic therapy for Parkinson's disease: A systematic review and synthesis without meta-analysis of animal and human trials. Maturitas 2022; 163:46-61. [PMID: 35714419 DOI: 10.1016/j.maturitas.2022.06.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 05/29/2022] [Accepted: 06/01/2022] [Indexed: 12/20/2022]
Abstract
OBJECTIVE The aim of the present systematic review was to assess the efficacy of ketogenic therapy in Parkinson's disease (PD), using all available data from randomized controlled trials (RCTs) on humans and animal studies with PD models. DESIGN Systematic review of in vivo studies. METHODS Studies related to the research question were identified through searches in PubMed, Cochrane Central Register of Controlled Trials (CENTRAL), Scopus, clinicaltrials.gov and the gray literature, from inception until November 2021. Rayyan was employed to screen and identify all studies fulfilling the inclusion criteria. Cochrane's revised Risk of Bias 2.0 and SYRCLE tools evaluated bias in RCTs and animal studies, respectively. An effect direction plot was developed to synthesize the evidence of the RCTs. RESULTS Twelve studies were identified and included in the qualitative synthesis (4 RCTs and 8 animal trials). Interventions included ketogenic diets (KDs), supplementation with medium-chain triglyceride (MCT) oil, caprylic acid administration and ketone ester drinks. The animal research used zebrafish and rodents, and PD was toxin-induced. Based on the available RCTs, ketogenic therapy does not improve motor coordination and functioning, cognitive impairment, anthropometrics, blood lipids and glycemic control, exercise performance or voice disorders in patients with PD. The evidence is scattered and heterogenous, with single trials assessing different outcomes; thus, a synthesis of the evidence cannot be conclusive regarding the efficacy of ketogenic therapy. On the other hand, animal studies tend to demonstrate more promising results, with marked improvements in locomotor activity, dopaminergic activity, redox status, and inflammatory markers. CONCLUSIONS Although animal studies indicate promising results, research on the effect of ketogenic therapy in PD is still in its infancy, with RCTs conducted on humans being heterogeneous and lacking PD-specific outcomes. More studies are required to recommend or refute the use of ketogenic therapy in PD.
Collapse
|
6
|
Balomenos V, Bounou L, Charisis S, Stamelou M, Ntanasi E, Georgiadi K, Mourtzinos I, Tzima K, Anastasiou CA, Xiromerisiou G, Maraki M, Yannakoulia M, Kosmidis MH, Dardiotis E, Hadjigeorgiou G, Sakka P, Stefanis L, Scarmeas N. Dietary Inflammatory Index score and prodromal Parkinson's disease incidence: The HELIAD study. J Nutr Biochem 2022; 105:108994. [PMID: 35341916 DOI: 10.1016/j.jnutbio.2022.108994] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2021] [Revised: 12/21/2021] [Accepted: 02/22/2022] [Indexed: 11/30/2022]
Abstract
AIM The aim of the present study was to investigate the association of the inflammatory potential of diet with prodromal Parkinson's disease (pPD) probability and incidence among community-dwelling older individuals without clinical features of parkinsonism at baseline. METHODS The sample consisted of 1,030 participants 65 years old or older, drawn from a population-based cohort study of older adults in Greece (Hellenic Longitudinal Investigation of Aging and Diet - HELIAD). We calculated pPD probability, according to International Parkinson and Movement Disorder Society research criteria. Dietary Inflammatory Index (DII) was used to measure the dietary inflammatory potential, with higher index score reflecting a more pro-inflammatory diet. Associations of baseline DII with pPD probability cross-sectionally, and with possible/probable pPD incidence (pPD probability ≥30%) during the follow-up period, were examined via general linear models and generalized estimating equations, respectively. RESULTS Cross-sectionally, one unit increase of DII score[DII (min, max) = -5.83, 6.01]was associated with 4.9% increased pPD probability [β=0.049, 95%CI (0.025-0.090), p<0.001]. Prospectively, 62 participants developed pPD during 3.1±0.9 (mean±SD) years of follow-up. One unit increase in DII was associated with 20.3% increased risk for developing pPD [RR=1.203, 95%CI (1.070-1.351), p=0.002]. Participants in the highest tertile of DII score were 2.6 times more likely to develop pPD [β=2.594, 95%CI (1.332-5.050), p=0.005], compared to those in the lowest tertile. CONCLUSION More pro-inflammatory diet was related with higher pPD probability and pPD incidence (pPD probability ≥30%) in a community-dwelling older adult population. Further studies are needed to confirm these findings.
Collapse
Affiliation(s)
- Vassilis Balomenos
- School of Medicine, Democritus University of Thrace, Dragana, Alexandroupolis, GR-68100, Greece
| | - Lamprini Bounou
- 1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens, Medical School, 72-74 Vasilissis Sofias Str., Athens, GR-115 28, Greece
| | - Socratis Charisis
- 1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens, Medical School, 72-74 Vasilissis Sofias Str., Athens, GR-115 28, Greece; Department of Neurology, Health Science Center at San Antonio, University of Texas, 7703 Floyd Curl Drive, San Antonio, Texas, TX 78229, USA
| | - Maria Stamelou
- 1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens, Medical School, 72-74 Vasilissis Sofias Str., Athens, GR-115 28, Greece; Parkinson's Disease and Movement Disorders Department, Hygeia Hospital, 4, Erythrou Stavrou Str. & Kifisias Av., Marousi, Athens, GR-151 23, Greece; Medical School, University of Cyprus, 93 Ayiou Nikolaou Str., Egkomi Nicosia, CY-2408, Cyprus
| | - Eva Ntanasi
- 1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens, Medical School, 72-74 Vasilissis Sofias Str., Athens, GR-115 28, Greece
| | - Kyriaki Georgiadi
- School of Medicine, Democritus University of Thrace, Dragana, Alexandroupolis, GR-68100, Greece
| | - Ioannis Mourtzinos
- Department of Food Science and Technology, Faculty of Agriculture, Aristotle University of Thessaloniki, P.O. Box 256, Thessaloniki, GR-54124, Greece
| | - Katerina Tzima
- Department of Food Biosciences, Teagasc Food Research Centre, Ashtown, D15 DY05, Dublin, Ireland
| | - Costas A Anastasiou
- Department of Nutrition and Dietetics, Harokopio University, 70 Eleftheriou Venizelou Str., Kallithea, Athens, GR-176 76, Greece
| | - Georgia Xiromerisiou
- School of Medicine, University of Thessaly, 22 Papakiriazi Str., Larissa, GR-41222, Greece
| | - Maria Maraki
- Department of Nutrition and Dietetics, Harokopio University, 70 Eleftheriou Venizelou Str., Kallithea, Athens, GR-176 76, Greece; Section of Sport Medicine and Biology of Exercise, School of Physical Education and Sport Science, National and Kapodistrian University of Athens, 41 Ethnikis Antistasis Str., Dafni, Athens, GR-17237, Greece
| | - Mary Yannakoulia
- Department of Nutrition and Dietetics, Harokopio University, 70 Eleftheriou Venizelou Str., Kallithea, Athens, GR-176 76, Greece.
| | - Mary H Kosmidis
- Laboratory of Cognitive Neuroscience, School of Psychology, Aristotle University of Thessaloniki, University Campus, Thessaloniki, GR- 54124, Greece
| | - Efthimios Dardiotis
- School of Medicine, University of Thessaly, 22 Papakiriazi Str., Larissa, GR-41222, Greece
| | - Georgios Hadjigeorgiou
- Medical School, University of Cyprus, 93 Ayiou Nikolaou Str., Egkomi Nicosia, CY-2408, Cyprus
| | - Paraskevi Sakka
- Athens Association of Alzheimer's Disease and Related Disorders, 8 Zinonos Eleatou Str., Marousi, GR-151 23, Greece
| | - Leonidas Stefanis
- 1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens, Medical School, 72-74 Vasilissis Sofias Str., Athens, GR-115 28, Greece; Center of Clinical, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, 4 Soranou Ephessiou Str., Athens, GR-115 27, Greece
| | - Nikolaos Scarmeas
- 1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens, Medical School, 72-74 Vasilissis Sofias Str., Athens, GR-115 28, Greece; Taub Institute for Research in Alzheimer's Disease and the Aging Brain, The Gertrude H. Sergievsky Center, Department of Neurology, Columbia University, 630 West 168th Str., New York, NY 10032, USA
| |
Collapse
|
7
|
Maraki MI, Hatzimanolis A, Mourtzi N, Stefanis L, Yannakoulia M, Kosmidis MH, Dardiotis E, Hadjigeorgiou GM, Sakka P, Ramirez A, Grenier-Boley B, Lambert JC, Heilmann-Heimbach S, Stamelou M, Scarmeas N, Xiromerisiou G. Association of the Polygenic Risk Score With the Probability of Prodromal Parkinson's Disease in Older Adults. Front Mol Neurosci 2022; 14:739571. [PMID: 34992521 PMCID: PMC8724535 DOI: 10.3389/fnmol.2021.739571] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2021] [Accepted: 11/29/2021] [Indexed: 12/19/2022] Open
Abstract
Several studies have investigated the association of the Parkinson’s disease (PD) polygenic risk score (PRS) with several aspects of well-established PD. We sought to evaluate the association of PRS with the prodromal stage of PD. We calculated PRS in a longitudinal sample (n = 1120) of community dwelling individuals ≥ 65 years from the HELIAD (The Hellenic Longitudinal Investigation of Aging and Diet) study in order to evaluate the association of this score with the probability of prodromal PD or any of the established risk and prodromal markers in MDS research criteria, using regression multi-adjusted models. Increases in PRS estimated from GWAS summary statistics’ ninety top SNPS with p < 5 × 10–8 was associated with increased odds of having probable/possible prodromal PD (i.e., ≥ 30% probability, OR = 1.033, 95%CI: 1.009–1.057 p = 0.006). From the prodromal PD risk markers, significant association was found between PRS and global cognitive deficit exclusively (p = 0.003). To our knowledge, our study is the first population based study investigating the association between PRS scores and prodromal markers of Parkinson’s disease. Our results suggest a strong relationship between the accumulation of many common genetic variants, as measured by PRS, and cognitive deficits.
Collapse
Affiliation(s)
- Maria I Maraki
- Section of Sport Medicine and Biology of Exercise, School of Physical Education and Sport Science, National and Kapodistrian University of Athens, Athens, Greece.,Department of Nutrition and Dietetics, School of Health Sciences, Hellenic Mediterranean University, Crete, Greece
| | - Alexandros Hatzimanolis
- Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece.,Neurobiology Research Institute, Theodor-Theohari Cozzika Foundation, Athens, Greece
| | - Niki Mourtzi
- First Department of Neurology, Eginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece
| | - Leonidas Stefanis
- First Department of Neurology, Eginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece.,Center of Clinical, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Mary Yannakoulia
- Department of Nutrition and Dietetics, School of Health Sciences, Hellenic Mediterranean University, Crete, Greece
| | - Mary H Kosmidis
- Laboratory of Cognitive Neuroscience, School of Psychology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | | | - Georgios M Hadjigeorgiou
- School of Medicine, University of Thessaly, Larissa, Greece.,Department of Neurology, Medical School, University of Cyprus, Nicosia, Cyprus
| | - Paraskevi Sakka
- Athens Association of Alzheimer's Disease and Related Disorders, Marousi, Greece
| | - Alfredo Ramirez
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.,Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany.,German Center for Neurodegenerative Diseases (DZNE Bonn), Bonn, Germany.,Department of Psychiatry and Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, San Antonio, TX, United States.,Department of Psychiatry and Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, San Antonio, TX, United States
| | - Benjamin Grenier-Boley
- INSERM, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE Facteurs de Risque et Determinants Moléculaires des Maladies Liées au Vieillissement, University of Lille, Lille, France
| | - Jean-Charles Lambert
- INSERM, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE Facteurs de Risque et Determinants Moléculaires des Maladies Liées au Vieillissement, University of Lille, Lille, France
| | - Stefanie Heilmann-Heimbach
- Institute of Human Genetics, School of Medicine and University Hospital Bonn, University of Bonn, Bonn, Germany
| | - Maria Stamelou
- First Department of Neurology, Eginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece.,Parkinson's Disease and Movement Disorders Department, HYGEIA Hospital, Athens, Greece
| | - Nikolaos Scarmeas
- First Department of Neurology, Eginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece.,Taub Institute for Research in Alzheimer's Disease and the Aging Brain, The Gertrude H. Sergievsky Center, Department of Neurology, Columbia University, New York, NY, United States
| | | |
Collapse
|
8
|
Charisis S, Ntanasi E, Stamelou M, Xiromerisiou G, Maraki M, Veskoukis AS, Yannakoulia M, Kosmidis MH, Anastasiou CA, Giagkou N, Dardiotis E, Hadjigeorgiou G, Sakka P, Kouretas D, Stefanis L, Scarmeas N. Plasma Glutathione and Prodromal Parkinson's Disease Probability. Mov Disord 2021; 37:200-205. [PMID: 34695238 DOI: 10.1002/mds.28826] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 09/08/2021] [Accepted: 09/30/2021] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND A decrease in glutathione (GSH) levels is considered one of the earliest biochemical changes in Parkinson's disease (PD). OBJECTIVE The authors explored the potential role of plasma GSH as a risk/susceptibility biomarker for prodromal PD (pPD) by examining its longitudinal associations with pPD probability trajectories. METHODS A total of 405 community-dwelling participants (median age [interquartile range] = 73.2 [7.41] years) without clinical features of parkinsonism were followed for a mean (standard deviation) of 3.0 (0.9) years. RESULTS A 1 μmol/L increase in plasma GSH was associated with 0.4% (95% confidence interval [CI], 0.1%-0.7%; P = 0.017) less increase in pPD probability for 1 year of follow-up. Compared with participants in the lowest GSH tertile, participants in the highest GSH tertile had a 12.9% (95% CI, 22.4%-2.2%; P = 0.020) slower rate of increase of pPD probability for 1 year of follow-up. CONCLUSION Plasma GSH was associated with pPD probability trajectories; therefore, it might assist in the identification of individuals who are likely to reach the threshold for pPD diagnosis more rapidly. © 2021 International Parkinson and Movement Disorder Society.
Collapse
Affiliation(s)
- Sokratis Charisis
- 1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece.,Department of Neurology, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| | - Eva Ntanasi
- 1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece.,Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
| | - Maria Stamelou
- Parkinson's Disease and Movement Disorders Department, HYGEIA Hospital, Athens, Greece.,Department of Neurology, Philipps University, Marburg, Germany
| | | | - Maria Maraki
- Section of Sport Medicine and Biology of Exercise, School of Physical Education and Sport Science, National and Kapodistrian University of Athens, Athens, Greece.,Department of Nutrition and Dietetics, School of Health Sciences, Hellenic Mediterranean University, Crete, Greece
| | | | - Mary Yannakoulia
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
| | - Mary H Kosmidis
- Laboratory of Cognitive Neuroscience, School of Psychology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | | | - Nikolaos Giagkou
- 1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece.,Parkinson's Disease and Movement Disorders Department, HYGEIA Hospital, Athens, Greece
| | | | | | - Paraskevi Sakka
- Athens Association of Alzheimer's Disease and Related Disorders, Athens, Greece
| | - Demetrios Kouretas
- Department of Biochemistry-Biotechnology, University of Thessaly, Larisa, Greece
| | - Leonidas Stefanis
- 1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece.,Center of Clinical, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Nikolaos Scarmeas
- 1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece.,Taub Institute for Research in Alzheimer's Disease and the Aging Brain, the Gertrude H. Sergievsky Center, Department of Neurology, Columbia University, New York, New York, USA
| |
Collapse
|
9
|
Pachi I, Maraki MI, Giagkou N, Kosmidis MH, Yannakoulia M, Dardiotis E, Hadjigeorgiou G, Sakka P, Ntanasi E, Xiromerisiou G, Stamelou M, Scarmeas N, Stefanis L. Late life psychotic features in prodromal Parkinson's disease. Parkinsonism Relat Disord 2021; 86:67-73. [PMID: 33866230 DOI: 10.1016/j.parkreldis.2021.04.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Revised: 11/17/2020] [Accepted: 04/02/2021] [Indexed: 12/23/2022]
Abstract
INTRODUCTION Some case series have suggested that psychotic features could occur even before the onset of motor symptoms of Parkinson's Disease (PD). Our aim was to investigate a possible association between psychotic symptoms and prodromal Parkinson's disease in a population-based cohort, the Hellenic Longitudinal Investigation of Aging and Diet study. METHODS This cross-sectional study included participants aged ≥65 years without dementia or PD. We defined psychotic symptoms as the presence of at least one new hallucinatory or delusional feature, assessed with the Neuropsychiatric Inventory scale and the Columbia University Scale for Psychopathology in Alzheimer's Disease, exhibited only at follow-up and not present at baseline visit. We calculated the probability of prodromal PD (pPD) for every participant, according to the 2019 International Parkinson and Movement Disorders Society research criteria for prodromal PD. RESULTS Participants who developed psychotic manifestations over a three-year follow up (20 of 914) had 1.3 times higher probability of pPD score (β [95%CI]: 1.3 [0.9-1.5], p=0.006) compared to non-psychotic subjects. This association was driven mostly by depressive symptoms, constipation and subthreshold parkinsonism (p<0.05). CONCLUSION Our data indicate that emerging psychotic features evolve in parallel with the probability of pPD. This is the first study that provides evidence for the presence of psychotic experiences in pPD. The association detected needs to be confirmed in longitudinal studies.
Collapse
Affiliation(s)
- Ioanna Pachi
- 1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece
| | - Maria I Maraki
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece; Section of Sport Medicine and Biology of Exercise, School of Physical Education and Sport Science, National and Kapodistrian University of Athens, Athens, Greece
| | - Nikolaos Giagkou
- 1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece; Parkinson's Disease and Movement Disorders Department, Hygeia Hospital, Athens, Greece
| | - Mary H Kosmidis
- Lab of Cognitive Neuroscience, School of Psychology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Mary Yannakoulia
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
| | | | | | - Paraskevi Sakka
- Athens Association of Alzheimer's Disease and Related Disorders, Marousi, Greece
| | - Eva Ntanasi
- 1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece; Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
| | | | - Maria Stamelou
- 1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece; Parkinson's Disease and Movement Disorders Department, Hygeia Hospital, Athens, Greece; Medical School, University of Cyprus, Nicosia, Cyprus
| | - Nikolaos Scarmeas
- 1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece; Taub Institute for Research in Alzheimer's Disease and the Aging Brain, The Gertrude H. Sergievsky Center, Department of Neurology, Columbia University, New York, NY, USA
| | - Leonidas Stefanis
- 1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece; Center of Clinical, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece.
| |
Collapse
|
10
|
Mild Gait Impairment and Its Potential Diagnostic Value in Patients with Early-Stage Parkinson's Disease. Behav Neurol 2021; 2021:6696454. [PMID: 33884040 PMCID: PMC8041560 DOI: 10.1155/2021/6696454] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 03/20/2021] [Indexed: 11/17/2022] Open
Abstract
Methods 32 patients with early-stage PD and 30 healthy control subjects (HC) were enrolled. All participants completed the instrumented stand and walk test, and gait data was collected using wearable sensors. Results We observed increased variability of stride length (SL) (P < 0.001), stance phase time (StPT) (P = 0.004), and swing phase time (SwPT) (P = 0.011) in PD. There were decreased heel strike (HS) (P = 0.001), range of motion of knee (P = 0.036), and hip joints (P < 0.001) in PD. In symmetry analysis, no difference was found in any of the assessed gait parameters between HC and PD. Only total steps (AUC = 0.763, P < 0.001), SL (AUC = 0.701, P = 0.007), SL variability (AUC = 0.769, P < 0.001), StPT variability (AUC = 0.712, P = 0.004), and SwPT variability (AUC = 0.688, P = 0.011) had potential diagnostic value. When these five gait parameters were combined, the predictive power was found to increase, with the highest AUC of 0.802 (P < 0.001). Conclusions Patients with early-stage PD presented increased variability but still symmetrical gait pattern. Some specific gait parameters can be applied to diagnose early-stage PD which may increase diagnosis accuracy. Our findings are helpful to improve patient's quality of life.
Collapse
|
11
|
Jurcau A, Nunkoo VS. Clinical Markers May Identify Patients at Risk for Early Parkinson's Disease Dementia: A Prospective Study. Am J Alzheimers Dis Other Demen 2021; 36:15333175211021369. [PMID: 34075800 PMCID: PMC10624063 DOI: 10.1177/15333175211021369] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND The study aims at identifying features predictive of early onset of dementia in Parkinson's disease (PD). METHODS 103 non-demented PD patients were evaluated on various scales at baseline and 89 patients at 3-year follow-up. RESULTS By the end of the study 43.8% of patients developed dementia. The development of dementia was linked to the baseline Mini Mental State Examination score (Pearson coefficient r = .404, p = 0.013), the presence of autonomic dysfunctions (r = -.621, p < 0.001) and insomnia (r = -.526, p = 0.001). A binary logistic regression analysis showed that the development of dementia was correlated strongly with the presence of autonomic dysfunctions (95% CI 2.60 to 52.83, p < 0.001), and insomnia (95% CI 0.60 to 0.95, p = 0.017). CONCLUSION Patients with signs of autonomic dysfunction and insomnia are at higher risk for developing dementia and deserve closer monitoring of cognitive symptoms.
Collapse
Affiliation(s)
- Anamaria Jurcau
- Neurology ward, Clinical Municipal Hospital “dr. G Curteanu” Oradea, Oradea, Romania
- Faculty of Medicine and Pharmacy, University of Oradea, Oradea, Romania
| | - Vharoon Sharma Nunkoo
- Neurology ward, Clinical Municipal Hospital “dr. G Curteanu” Oradea, Oradea, Romania
| |
Collapse
|
12
|
Kühn E, Averdunk P, Huckemann S, Müller K, Biesalski AS, Hof Zum Berge F, Motte J, Fisse AL, Schneider-Gold C, Gold R, Pitarokoili K, Tönges L. Correlates of polyneuropathy in Parkinson's disease. Ann Clin Transl Neurol 2020; 7:1898-1907. [PMID: 32940017 PMCID: PMC7545593 DOI: 10.1002/acn3.51182] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Revised: 08/17/2020] [Accepted: 08/17/2020] [Indexed: 12/12/2022] Open
Abstract
Objective Previous studies in Parkinson’s disease (PD) patients have demonstrated a high prevalence of polyneuropathy (PNP) and pronounced alpha‐Synuclein pathology in dermal nerve fibers already at early disease stages. The aim of this study was to analyze associations between the prevalence and severity of PNP with nonmotor and motor symptoms in PD patients. Methods Fifty PD patients were characterized comprehensively for the presence of clinical symptoms (nonmotor and motor), electrophysiologic alterations and – for the first time – using high‐resolution ultrasound of peripheral nerves. Results Sixty‐two percent of PD patients showed electrophysiological pathology of PNP. The prevalence of patient‐reported PNP symptoms was 86% and was particularly present in patients with longer disease duration, compromised scores of nonmotor and motor symptoms as well as with a negative evaluation of quality of life. Seventy‐five percent of patients showed morphologic alterations similar to axonal PNP in high‐resolution ultrasound compared to healthy controls. Interpretation The study demonstrates the high burden of peripheral nervous system disease in Parkinson's disease. It advocates further studies to delineate the underlying pathophysiological mechanisms in order to optimize treatment approaches for PD, including the associated PNP.
Collapse
Affiliation(s)
- Eva Kühn
- Department of Neurology, St. Josef-Hospital, Ruhr-University, Bochum, Germany
| | - Paulina Averdunk
- Department of Neurology, St. Josef-Hospital, Ruhr-University, Bochum, Germany
| | - Sophie Huckemann
- Department of Neurology, St. Josef-Hospital, Ruhr-University, Bochum, Germany
| | - Katharina Müller
- Department of Neurology, St. Josef-Hospital, Ruhr-University, Bochum, Germany
| | | | | | - Jeremias Motte
- Department of Neurology, St. Josef-Hospital, Ruhr-University, Bochum, Germany
| | - Anna Lena Fisse
- Department of Neurology, St. Josef-Hospital, Ruhr-University, Bochum, Germany
| | | | - Ralf Gold
- Department of Neurology, St. Josef-Hospital, Ruhr-University, Bochum, Germany.,Neurodegeneration Research, Centre for Protein Diagnostics (ProDi), Ruhr-University, Bochum, Germany
| | | | - Lars Tönges
- Department of Neurology, St. Josef-Hospital, Ruhr-University, Bochum, Germany.,Neurodegeneration Research, Centre for Protein Diagnostics (ProDi), Ruhr-University, Bochum, Germany
| |
Collapse
|
13
|
Giagkou N, Maraki MI, Yannakoulia M, Kosmidis MH, Dardiotis E, Hadjigeorgiou GM, Sakka P, Ntanasi E, Anastasiou CA, Xiromerisiou G, Stefanis L, Scarmeas N, Stamelou M. A Prospective Validation of the Updated Movement Disorders Society Research Criteria for Prodromal Parkinson's Disease. Mov Disord 2020; 35:1802-1809. [PMID: 32567751 DOI: 10.1002/mds.28145] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2020] [Revised: 04/24/2020] [Accepted: 05/13/2020] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVE The objective of this study was to validate the recently updated research criteria for prodromal Parkinson's disease (pPD) proposed by the International Parkinson's Disease and Movement Disorders Society. METHODS A total of 16 of 21 markers of pPD were ascertained in the Hellenic Longitudinal Investigation of Aging and Diet cohort composed of community-dwelling individuals aged ≥65 years. The probability of pPD was calculated for 961 individuals without Parkinson's disease (PD) or dementia with Lewy bodies at baseline who were followed-up for a median of 3 years. The ability of the criteria to predict conversion to PD/dementia with Lewy bodies was assessed by estimating their sensitivity and specificity, plotting receiver operating characteristics curves, and using logistic regression. These analyses were repeated using the original criteria. RESULTS No incident PD/dementia with Lewy bodies case had probable pPD at baseline (ie, ≥80% pPD probability). At cut-offs of 10%, 30%, and 50% probability of pPD, the sensitivity and specificity of the criteria ranged from 4.5% to 27.3%, and 85.7% to 98.3% respectively. The area under the receiver operating characteristics curve was 0.691 (95% confidence intervals, 0.605-0.777). In logistic regression models, the criteria-derived posttest odds of pPD were a significant predictor of conversion at follow-up. The updated criteria performed similarly to the original but showed a slight increase in sensitivity. CONCLUSIONS The new criteria demonstrated suboptimal sensitivity in our random sample of community-dwelling individuals. The absence of specialized assessments with high likelihood ratios in our cohort could be hindering the demonstration of higher sensitivities. Such assessments should be a part of future validation attempts. © 2020 International Parkinson and Movement Disorder Society.
Collapse
Affiliation(s)
- Nikolaos Giagkou
- Parkinson's Disease and Movement Disorders Department, Hygeia Hospital, Athens, Greece
| | - Maria I Maraki
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece.,Section of Sport Medicine and Biology of Exercise, School of Physical Education and Sport Science, National and Kapodistrian University of Athens, Athens, Greece
| | - Mary Yannakoulia
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
| | - Mary H Kosmidis
- Lab of Cognitive Neuroscience, School of Psychology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | | | | | - Paraskevi Sakka
- Athens Association of Alzheimer's Disease and Related Disorders, Marousi, Greece
| | - Eva Ntanasi
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece.,1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece
| | - Costas A Anastasiou
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece.,1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece
| | | | - Leonidas Stefanis
- 1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece.,Center of Clinical, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Nikolaos Scarmeas
- 1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece.,Taub Institute for Research in Alzheimer's Disease and the Aging Brain, The Gertrude H. Sergievsky Center, Department of Neurology, Columbia University, New York, New York, USA
| | - Maria Stamelou
- Parkinson's Disease and Movement Disorders Department, Hygeia Hospital, Athens, Greece.,1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece.,School of Medicine, European University of Cyprus, Nicosia, Cyprus
| |
Collapse
|
14
|
Hattori M, Tsuboi T, Yokoi K, Tanaka Y, Sato M, Suzuki K, Arahata Y, Hori A, Kawashima M, Hirakawa A, Washimi Y, Watanabe H, Katsuno M. Subjects at risk of Parkinson’s disease in health checkup examinees: cross-sectional analysis of baseline data of the NaT-PROBE study. J Neurol 2020; 267:1516-1526. [DOI: 10.1007/s00415-020-09714-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Revised: 01/10/2020] [Accepted: 01/13/2020] [Indexed: 01/25/2023]
|
15
|
Dorsey ER, Omberg L, Waddell E, Adams JL, Adams R, Ali MR, Amodeo K, Arky A, Augustine EF, Dinesh K, Hoque ME, Glidden AM, Jensen-Roberts S, Kabelac Z, Katabi D, Kieburtz K, Kinel DR, Little MA, Lizarraga KJ, Myers T, Riggare S, Rosero SZ, Saria S, Schifitto G, Schneider RB, Sharma G, Shoulson I, Stevenson EA, Tarolli CG, Luo J, McDermott MP. Deep Phenotyping of Parkinson's Disease. JOURNAL OF PARKINSON'S DISEASE 2020; 10:855-873. [PMID: 32444562 PMCID: PMC7458535 DOI: 10.3233/jpd-202006] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 05/01/2020] [Indexed: 12/13/2022]
Abstract
Phenotype is the set of observable traits of an organism or condition. While advances in genetics, imaging, and molecular biology have improved our understanding of the underlying biology of Parkinson's disease (PD), clinical phenotyping of PD still relies primarily on history and physical examination. These subjective, episodic, categorical assessments are valuable for diagnosis and care but have left gaps in our understanding of the PD phenotype. Sensors can provide objective, continuous, real-world data about the PD clinical phenotype, increase our knowledge of its pathology, enhance evaluation of therapies, and ultimately, improve patient care. In this paper, we explore the concept of deep phenotyping-the comprehensive assessment of a condition using multiple clinical, biological, genetic, imaging, and sensor-based tools-for PD. We discuss the rationale for, outline current approaches to, identify benefits and limitations of, and consider future directions for deep clinical phenotyping.
Collapse
Affiliation(s)
- E. Ray Dorsey
- Center for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA
- Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA
| | | | - Emma Waddell
- Center for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA
| | - Jamie L. Adams
- Center for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA
- Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA
| | - Roy Adams
- Machine Learning, AI and Healthcare Lab, Johns Hopkins University, Baltimore, MD, USA
| | | | - Katherine Amodeo
- Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA
| | - Abigail Arky
- Center for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA
| | - Erika F. Augustine
- Center for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA
- Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA
| | - Karthik Dinesh
- Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA
| | | | - Alistair M. Glidden
- Center for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA
| | - Stella Jensen-Roberts
- Center for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA
| | - Zachary Kabelac
- Department of Computer Science and Artificial Intelligence, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Dina Katabi
- Department of Computer Science and Artificial Intelligence, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Karl Kieburtz
- Center for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA
- Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA
| | - Daniel R. Kinel
- Center for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA
- Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA
| | - Max A. Little
- School of Computer Science, University of Birmingham, UK
- Massachusetts Institute of Technology, MA, USA
| | - Karlo J. Lizarraga
- Center for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA
- Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA
| | - Taylor Myers
- Center for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA
| | - Sara Riggare
- Department of Women’s and Children’s Health, Uppsala University, Uppsala, Sweden
| | | | - Suchi Saria
- Machine Learning, AI and Healthcare Lab, Johns Hopkins University, Baltimore, MD, USA
- Department of Computer Science, Statistics, and Health Policy, Johns Hopkins University, MD, USA
| | - Giovanni Schifitto
- Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA
| | - Ruth B. Schneider
- Center for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA
- Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA
| | - Gaurav Sharma
- Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA
- Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY, USA
| | - Ira Shoulson
- Center for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA
- Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA
- Grey Matter Technologies, Sarasota, FL, USA
| | - E. Anna Stevenson
- Center for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA
| | - Christopher G. Tarolli
- Center for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA
- Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA
| | - Jiebo Luo
- Department of Computer Science, University of Rochester, Rochester, NY, USA
| | - Michael P. McDermott
- Center for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA
- Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY, USA
| |
Collapse
|
16
|
Simonet C, Schrag A, Lees AJ, Noyce AJ. The motor prodromes of parkinson's disease: from bedside observation to large-scale application. J Neurol 2019; 268:2099-2108. [PMID: 31802219 PMCID: PMC8179909 DOI: 10.1007/s00415-019-09642-0] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Revised: 11/13/2019] [Accepted: 11/14/2019] [Indexed: 12/12/2022]
Abstract
There is sufficient evidence that the pathological process that causes Parkinson's disease begins years before the clinical diagnosis is made. Over the last 15 years, there has been much interest in the existence of a prodrome in some patients, with a particular focus on non-motor symptoms such as reduced sense of smell, REM-sleep disorder, depression, and constipation. Given that the diagnostic criteria for Parkinson's disease depends on the presence of bradykinesia, it is somewhat surprising that there has been much less research into the possibility of subtle motor dysfunction as a pre-diagnostic pointer. This review will focus on early motor features and provide some advice on how to detect and measure them.
Collapse
Affiliation(s)
- C Simonet
- Preventive Neurology Unit, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK
| | - A Schrag
- Department of Clinical and Movement Neurosciences, Institute of Neurology, University College London, London, UK
| | - A J Lees
- Reta Lila Weston Institute of Neurological Studies, University College London, London, UK
| | - A J Noyce
- Preventive Neurology Unit, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK. .,Department of Clinical and Movement Neurosciences, Institute of Neurology, University College London, London, UK.
| |
Collapse
|