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Liu P, Chen L, He X, Mao L. Predictors of the Rapid Progression in Prodromal Parkinson's Disease: A Longitudinal Follow-Up Study. Gerontology 2024; 70:595-602. [PMID: 38565088 DOI: 10.1159/000538515] [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: 10/24/2023] [Accepted: 03/21/2024] [Indexed: 04/04/2024] Open
Abstract
INTRODUCTION Parkinson's disease (PD) is characterized by a prodromal phase preceding the onset of classic motor symptoms. The duration and clinical manifestations of prodromal PD vary widely, indicating underlying heterogeneity within this stage. This discrepancy prompts the question of whether specific factors contribute to the divergent rates of progression in prodromal PD. METHODS This study included prodromal PD patients from the Parkinson's progression marker initiative. They were followed up to assess the disease progression. The data collected during the follow-up period were analyzed to identify potential predictors of rapid disease progression in prodromal PD. RESULTS In this study, 61 individuals with prodromal PD were enrolled. Among them, 43 patients presented with both RBD and hyposmia, 17 had hyposmia alone, and 1 had RBD alone at baseline. 13 (21.3%) prodromal PD participants exhibited rapid disease progression, with two of these cases advancing to non-neurological diseases. Significant differences were observed between the rapid progression group and no rapid progression group in terms of MDS-UPDRS II score and UPSIT score. Longitudinal analysis showed a significant increase in the MDS-UPDRS III score and MDS-UPDRS total score in the rapid progression group. Regression analyses identified the MDS-UPDRS II score and UPSIT score as predictors of rapid disease progression in prodromal PD. CONCLUSION Our study findings suggest that the MDS-UPDRS II score and UPSIT score may serve as clinical markers associated with rapid disease progression. Further research and development of precise biomarkers and advanced assessment methods are needed to enhance our understanding of prodromal PD and its progression patterns.
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Affiliation(s)
- Peng Liu
- Department of Neurology, Taizhou Central Hospital, Taizhou University Hospital, Taizhou, China
| | - Linxi Chen
- Department of Neurology, Taizhou Central Hospital, Taizhou University Hospital, Taizhou, China
- Department of Pathology, Taizhou Central Hospital, Taizhou University Hospital, Taizhou, China
| | - Xinwei He
- Department of Neurology, Taizhou Central Hospital, Taizhou University Hospital, Taizhou, China
| | - Lingqun Mao
- Department of Neurology, Taizhou Central Hospital, Taizhou University Hospital, Taizhou, China
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Yoo SW, Ryu DW, Oh YS, Ha S, Lyoo CH, Kim Y, Yoo JY, Kim JS. Estimating motor progression trajectory pursuant to temporal dynamic status of cardiac denervation in Parkinson's disease. J Neurol 2024; 271:2019-2030. [PMID: 38183421 DOI: 10.1007/s00415-023-12158-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 12/10/2023] [Accepted: 12/11/2023] [Indexed: 01/08/2024]
Abstract
BACKGROUND Parkinson's disease (PD) is a multifaceted disease that encompasses diverse clinical phenotypes. The diversity of PD could be subtyped based on the temporal dynamic status of cardiac sympathetic innervation; (1) initially, denervated myocardium (peripheral nervous system-predominant; PNS-predominant), (2) preserved myocardium (central nervous system-predominant; CNS-predominant), and (3) preserved myocardium who developed cardiac sympathetic denervation (CSD) on the subsequent imaging (Converter; delayed cardiac denervation). This study assessed how the cardiac denervation could reflect the pathobiology. We investigated whether this phenotyping could help predict the motor progression trajectory of PD. METHODS Cardiac sympathetic innervation was evaluated using initial and sequential 123I-meta-iodobenzylguanidine myocardial scintigraphy and patients were stratified into three groups as above. Motor severity and progression were evaluated in each patient. The association between subtypes and dopaminergic nigrostriatal degeneration was analyzed. The influence of cardiac denervation on motor progression was also investigated. RESULTS Among the enrolled 195 patients, 144 PD subjects were defined as PNS-predominant, 16 as Converter, and 35 as CNS-predominant. The most severe nigrostriatal degeneration was observed in the PNS-predominant group and the dopaminergic degeneration was the most asymmetric in the CNS-predominant group. Positive linear trends of nigrostriatal degeneration and its asymmetric degeneration of striatum and globus pallidus were found across the patterns of cardiac sympathetic innervation (PNS-predominant vs. Converter vs. CNS-predominant). It indicated an increasing degree of asymmetric degeneration among the groups. A longitudinal estimation of motor progression revealed distinct cardiac denervation trajectories for each subtype. CONCLUSIONS These results implicated that the subtypes of CSD might indicate a predominant origin and spreading pattern of pathobiology.
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Affiliation(s)
- Sang-Won Yoo
- Department of Neurology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Dong-Woo Ryu
- Department of Neurology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Yoon-Sang Oh
- Department of Neurology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Seunggyun Ha
- Division of Nuclear Medicine, Department of Radiology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Chul Hyoung Lyoo
- Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Yuna Kim
- Department of Neurology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Ji-Yeon Yoo
- Department of Neurology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Joong-Seok Kim
- Department of Neurology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
- Department of Neurology, College of Medicine, The Catholic University of Korea, Seoul St. Mary's Hospital, 222 Banpo-Daero, Seocho-Gu, Seoul, 06591, Republic of Korea.
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Kulcsarova K, Skorvanek M. Challenges and Future of the International Parkinson and Movement Disorder Society Prodromal Parkinson's Disease Criteria: Are We On the Right Track? Mov Disord 2024; 39:637-643. [PMID: 38310367 DOI: 10.1002/mds.29724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 12/20/2023] [Accepted: 12/22/2023] [Indexed: 02/05/2024] Open
Affiliation(s)
- Kristina Kulcsarova
- Department of Neurology, P. J. Safarik University, Kosice, Slovakia
- Department of Neurology, University Hospital of L. Pasteur, Kosice, Slovakia
- Department of Clinical Neurosciences, University Scientific Park MEDIPARK, P. J. Safarik University, Kosice, Slovakia
| | - Matej Skorvanek
- Department of Neurology, P. J. Safarik University, Kosice, Slovakia
- Department of Neurology, University Hospital of L. Pasteur, Kosice, Slovakia
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Park JW, Okamoto LE, Kim SH, Lee CN, Park KW, Baek SH, Sung JH, Jeon N, Koh SB, Gamboa A, Shibao CA, Diedrich A, Kim BJ, Biaggioni I. Sympathetic dysfunction as an early indicator of autonomic involvement in Parkinson's disease. Clin Auton Res 2024; 34:269-279. [PMID: 38652421 DOI: 10.1007/s10286-024-01031-6] [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: 12/11/2023] [Accepted: 04/09/2024] [Indexed: 04/25/2024]
Abstract
PURPOSE The specific characteristics of autonomic involvement in patients with early Parkinson's disease (PD) are unclear. This study aimed to evaluate the characteristics of autonomic dysfunction in drug-naïve patients with early-stage PD without orthostatic hypotension (OH) by analyzing Valsalva maneuver (VM) parameters. METHODS We retrospectively analyzed drug-naïve patients without orthostatic hypotension (n = 61) and controls (n = 20). The patients were subcategorized into early PD (n = 35) and mid-PD (n = 26) groups on the basis of the Hoehn and Yahr staging. VM parameters, including changes in systolic blood pressure at late phase 2 (∆SBPVM2), ∆HRVM3, Valsalva ratio (VR), pressure recovery time, adrenergic baroreflex sensitivity, and vagal baroreflex sensitivity, were assessed. RESULTS In the early PD group, ∆SBPVM2, a marker of sympathetic function, was significantly lower compared with that in controls (risk ratio = 0.95, P = 0.027). Receiver operating characteristic (ROC) curve analysis showed an optimal cut-off value of -10 mmHg for ∆SBPVM2 [P = 0.002, area under the curve (AUC): 0.737]. VR exhibited an inverse relationship with Unified Parkinson's Disease Rating Scale Part 3 scores in the multivariable regression analysis (VR: P = 0.038, β = -28.61), whereas age showed a positive relationship (age: P = 0.027, β = 0.35). CONCLUSION The ∆BPVM2 parameter of the VM may help detect autonomic nervous system involvement in early-PD without OH. Our results suggest that sympathetic dysfunction is an early manifestation of autonomic dysfunction in patients with PD.
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Affiliation(s)
- Jin-Woo Park
- Department of Neurology, Korea University Anam Hospital, Korea University Medicine, #73, Goryeodae-Ro, Seongbuk-gu, Seoul, 02841, Korea
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Luis E Okamoto
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sung-Hwan Kim
- Department of Neurology, Korea University Anam Hospital, Korea University Medicine, #73, Goryeodae-Ro, Seongbuk-gu, Seoul, 02841, Korea
| | - Chan-Nyoung Lee
- Department of Neurology, Korea University Anam Hospital, Korea University Medicine, #73, Goryeodae-Ro, Seongbuk-gu, Seoul, 02841, Korea
| | - Kun Woo Park
- Department of Neurology, Korea University Anam Hospital, Korea University Medicine, #73, Goryeodae-Ro, Seongbuk-gu, Seoul, 02841, Korea
| | - Seol-Hee Baek
- Department of Neurology, Korea University Anam Hospital, Korea University Medicine, #73, Goryeodae-Ro, Seongbuk-gu, Seoul, 02841, Korea
| | - Joo Hye Sung
- Department of Neurology, Korea University Anam Hospital, Korea University Medicine, #73, Goryeodae-Ro, Seongbuk-gu, Seoul, 02841, Korea
| | - Namjoon Jeon
- Department of Neurology, Korea University Anam Hospital, Korea University Medicine, #73, Goryeodae-Ro, Seongbuk-gu, Seoul, 02841, Korea
| | - Seong-Beom Koh
- Department of Neurology, Korea University Anam Hospital, Korea University Medicine, #73, Goryeodae-Ro, Seongbuk-gu, Seoul, 02841, Korea
| | - Alfredo Gamboa
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Cyndya A Shibao
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - André Diedrich
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
| | - Byung-Jo Kim
- Department of Neurology, Korea University Anam Hospital, Korea University Medicine, #73, Goryeodae-Ro, Seongbuk-gu, Seoul, 02841, Korea.
- BK21 FOUR R&E Center for Learning Health Systems, Graduate School, Korea University, Seoul, Republic of Korea, Seoul, Korea.
| | - Italo Biaggioni
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
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Sekimitsu S, Shweikh Y, Shareef S, Zhao Y, Elze T, Segrè A, Wiggs J, Zebardast N. Association of retinal optical coherence tomography metrics and polygenic risk scores with cognitive function and future cognitive decline. Br J Ophthalmol 2024; 108:599-606. [PMID: 36990674 DOI: 10.1136/bjo-2022-322762] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 03/15/2023] [Indexed: 03/31/2023]
Abstract
PURPOSE To evaluate the potential of retinal optical coherence tomography (OCT) measurements and polygenic risk scores (PRS) to identify people at risk of cognitive impairment. METHODS Using OCT images from 50 342 UK Biobank participants, we examined associations between retinal layer thickness and genetic risk for neurodegenerative disease and combined these metrics with PRS to predict baseline cognitive function and future cognitive deterioration. Multivariate Cox proportional hazard models were used to predict cognitive performance. P values for retinal thickness analyses are false-discovery-rate-adjusted. RESULTS Higher Alzheimer's disease PRS was associated with a thicker inner nuclear layer (INL), chorio-scleral interface (CSI) and inner plexiform layer (IPL) (all p<0.05). Higher Parkinson's disease PRS was associated with thinner outer plexiform layer (p<0.001). Worse baseline cognitive performance was associated with thinner retinal nerve fibre layer (RNFL) (aOR=1.038, 95% CI (1.029 to 1.047), p<0.001) and photoreceptor (PR) segment (aOR=1.035, 95% CI (1.019 to 1.051), p<0.001), ganglion cell complex (aOR=1.007, 95% CI (1.002 to 1.013), p=0.004) and thicker ganglion cell layer (aOR=0.981, 95% CI (0.967 to 0.995), p=0.009), IPL (aOR=0.976, 95% CI (0.961 to 0.992), p=0.003), INL (aOR=0.923, 95% CI (0.905 to 0.941), p<0.001) and CSI (aOR=0.998, 95% CI (0.997 to 0.999), p<0.001). Worse future cognitive performance was associated with thicker IPL (aOR=0.945, 95% CI (0.915 to 0.999), p=0.045) and CSI (aOR=0.996, 95% CI (0.993 to 0.999) 95% CI, p=0.014). Prediction of cognitive decline was significantly improved with the addition of PRS and retinal measurements. CONCLUSIONS AND RELEVANCE Retinal OCT measurements are significantly associated with genetic risk of neurodegenerative disease and may serve as biomarkers predictive of future cognitive impairment.
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Affiliation(s)
| | - Yusrah Shweikh
- Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, USA
- Sussex Eye Hospital, University Hospitals Sussex NHS Foundation Trust, Sussex, UK
| | - Sarah Shareef
- Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, USA
| | - Yan Zhao
- Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
| | - Tobias Elze
- Schepens Eye Research Institute, Harvard Medical School, Boston, Massachusetts, USA
| | - Ayellet Segrè
- Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
| | - Janey Wiggs
- Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
| | - Nazlee Zebardast
- Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, USA
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Zatti C, Pilotto A, Hansen C, Rizzardi A, Catania M, Romijnders R, Purin L, Pasolini MP, Schaeffer E, Galbiati A, Ferini-Strambi L, Berg D, Maetzler W, Padovani A. Turning alterations detected by mobile health technology in idiopathic REM sleep behavior disorder. NPJ Parkinsons Dis 2024; 10:64. [PMID: 38499543 PMCID: PMC10948811 DOI: 10.1038/s41531-024-00682-6] [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: 06/17/2023] [Accepted: 03/12/2024] [Indexed: 03/20/2024] Open
Abstract
Idiopathic REM sleep Behavior Disorder (iRBD) is a condition at high risk of developing Parkinson's disease (PD) and other alpha-synucleinopathies. The aim of the study was to evaluate subtle turning alterations by using Mobile health technology in iRBD individuals without subthreshold parkinsonism. A total of 148 participants (23 persons with polysomnography-confirmed iRBD without subthreshold parkinsonism, 60 drug-naïve PD patients, and 65 age-matched controls were included in this prospective cross-sectional study. All underwent a multidimensional assessment including cognitive and non-motor symptoms assessment. Then a Timed-Up-and-Go test (TUG) at normal and fast speed was performed using mobile health technology on the lower back (Rehagait®, Hasomed, Germany). Duration, mean, and peak angular velocities of the turns were compared using a multivariate model correcting for age and sex. Compared to controls, PD patients showed longer turn durations and lower mean and peak angular velocities of the turns in both TUGs (all p ≤ 0.001). iRBD participants also showed a longer turn duration and lower mean (p = 0.006) and peak angular velocities (p < 0.001) compared to controls, but only in the TUG at normal speed. Mobile health technology assessment identified subtle alterations of turning in subjects with iRBD in usual, but not fast speed. Longitudinal studies are warranted to evaluate the value of objective turning parameters in defining the risk of conversion to PD in iRBD and in tracking motor progression in prodromal PD.
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Affiliation(s)
- Cinzia Zatti
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy
- Laboratory of digital Neurology and biosensors, University of Brescia, Brescia, Italy
- Department of continuity of care and frailty, Neurology Unit, ASST Spedali Civili of Brescia, Brescia, Italy
| | - Andrea Pilotto
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy.
- Laboratory of digital Neurology and biosensors, University of Brescia, Brescia, Italy.
- Department of continuity of care and frailty, Neurology Unit, ASST Spedali Civili of Brescia, Brescia, Italy.
| | - Clint Hansen
- Department of Neurology, University Hospital Schleswig-Holstein and Kiel University, Kiel, Germany
| | - Andrea Rizzardi
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy
- Laboratory of digital Neurology and biosensors, University of Brescia, Brescia, Italy
| | - Marcello Catania
- Laboratory of digital Neurology and biosensors, University of Brescia, Brescia, Italy
- Department of continuity of care and frailty, Neurology Unit, ASST Spedali Civili of Brescia, Brescia, Italy
| | - Robbin Romijnders
- Department of Neurology, University Hospital Schleswig-Holstein and Kiel University, Kiel, Germany
| | - Leandro Purin
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy
- Laboratory of digital Neurology and biosensors, University of Brescia, Brescia, Italy
- Department of continuity of care and frailty, Neurology Unit, ASST Spedali Civili of Brescia, Brescia, Italy
| | - Maria P Pasolini
- Department of Clinical and Experimental Sciences, Neurophysiology Unit, University of Brescia, Brescia, Italy
| | - Eva Schaeffer
- Department of Neurology, University Hospital Schleswig-Holstein and Kiel University, Kiel, Germany
| | - Andrea Galbiati
- IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Neurology-Sleep Disorders Centre, Milan, Italy
- Faculty of Psychology, "Vita-Salute" San Raffaele University, Milan, Italy
| | - Luigi Ferini-Strambi
- IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Neurology-Sleep Disorders Centre, Milan, Italy
- Faculty of Psychology, "Vita-Salute" San Raffaele University, Milan, Italy
| | - Daniela Berg
- Department of Neurology, University Hospital Schleswig-Holstein and Kiel University, Kiel, Germany
| | - Walter Maetzler
- Department of Neurology, University Hospital Schleswig-Holstein and Kiel University, Kiel, Germany
| | - Alessandro Padovani
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy
- Laboratory of digital Neurology and biosensors, University of Brescia, Brescia, Italy
- Department of continuity of care and frailty, Neurology Unit, ASST Spedali Civili of Brescia, Brescia, Italy
- Department of Clinical and Experimental Sciences, Neurophysiology Unit, University of Brescia, Brescia, Italy
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Kulcsarova K, Skorvanek M, Postuma RB, Berg D. Defining Parkinson's Disease: Past and Future. JOURNAL OF PARKINSON'S DISEASE 2024:JPD230411. [PMID: 38489197 DOI: 10.3233/jpd-230411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/17/2024]
Abstract
Parkinson's disease (PD) is the second most common still relentlessly progressive neurodegenerative disorder with a long period in which the pathophysiological process is already spreading but cardinal motor symptoms are not present. This review outlines the major developments and milestones in our understanding of PD that have shaped the way we define this disorder. Past criteria and definitions of PD have been based on clinical motor manifestations enabling diagnosis of the disease only in later symptomatic stages. Nevertheless, with advancing knowledge of disease pathophysiology and aim of early disease detection, a major shift of the diagnostic paradigm is being advocated towards a biological definition similar to other neurodegenerative disorders including Alzheimer's disease and Huntington's disease, with the ultimate goal of an earlier, disease course modifying therapy. We summarize the major pillars of this possible approach including in vivo detection of neuronal α-synuclein aggregation, neurodegeneration and genetics and outline their possible application in different contexts of use in the frame of biological PD definition.
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Affiliation(s)
- Kristina Kulcsarova
- Department of Neurology, P. J. Safarik University, Kosice, Slovak Republic
- Department of Neurology, L. Pasteur University Hospital, Kosice, Slovak Republic
- Department of Clinical Neurosciences, University Scientific Park MEDIPARK, P. J. Safarik University, Kosice, Slovak Republic
| | - Matej Skorvanek
- Department of Neurology, P. J. Safarik University, Kosice, Slovak Republic
- Department of Neurology, L. Pasteur University Hospital, Kosice, Slovak Republic
| | - Ronald B Postuma
- Department of Neurology, Montreal Neurological Institute, Montreal, Quebec, Canada
| | - Daniela Berg
- Department of Neurology, Kiel University and University Medical Center Schleswig-Holstein, Kiel, Germany
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Moceri S, Bäuerle N, Habermeyer J, Ratz-Wirsching V, Harrer J, Distler J, Schulze-Krebs A, Timotius IK, Bluhm A, Hartlage-Rübsamen M, Roßner S, Winkler J, Xiang W, Hörsten SV. Young human alpha synuclein transgenic (BAC-SNCA) mice display sex- and gene-dose-dependent phenotypic disturbances. Behav Brain Res 2024; 460:114781. [PMID: 38043677 DOI: 10.1016/j.bbr.2023.114781] [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: 05/31/2023] [Revised: 11/10/2023] [Accepted: 11/20/2023] [Indexed: 12/05/2023]
Abstract
Parkinson's disease (PD) is a common neurodegenerative movement disorder, characterized by the loss of dopaminergic neurons in the substantia nigra pars compacta and the accumulation of aggregated alpha synuclein (aSyn). The disease often presents with early prodromal non-motor symptoms and later motor symptoms. Diagnosing PD based purely on motor symptoms is often too late for successful intervention, as a significant neuronal loss has already occurred. Furthermore, the lower prevalence of PD in females is not well understood, highlighting the need for a better understanding of the interaction between sex and aSyn, the crucial protein for PD pathogenesis. Here, we conducted a comprehensive phenotyping study in 1- to 5-month-old mice overexpressing human aSyn gene (SNCA) in a bacterial artificial chromosome (BAC-SNCA). We demonstrate a SNCA gene-dose-dependent increase of human aSyn and phosphorylated aSyn, as well as a decrease in tyrosine hydroxylase expression in BAC-SNCA mice, with more pronounced effects in male mice. Phosphorylated aSyn was already found in the dorsal motor nucleus of the vagus nerve of 2-month-old mice. This was time-wise associated with significant gait altrations in BAC-SNCA mice as early as 1 and 3 months of age using CatWalk gait analysis. Furthermore, anxiety-related behavioral tests revealed an increase in anxiety levels in male BAC-SNCA mice. Finally, 5-month-old male BAC-SNCA mice exhibited a SNCA gene-dose-dependent elevation in energy expenditure in automated home-cage monitoring. For the first time, these findings describe early-onset, sex- and gene-dose-dependent, aSyn-mediated disturbances in BAC-SNCA mice, providing a model for sex-differences, early-onset neuropathology, and prodromal symptoms of PD.
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Affiliation(s)
- Sandra Moceri
- Department of Experimental Therapy, Preclinical Experimental Center, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany
| | - Natascha Bäuerle
- Department of Experimental Therapy, Preclinical Experimental Center, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany
| | - Johanna Habermeyer
- Department of Experimental Therapy, Preclinical Experimental Center, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany
| | - Veronika Ratz-Wirsching
- Department of Experimental Therapy, Preclinical Experimental Center, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany
| | - Julia Harrer
- Department of Experimental Therapy, Preclinical Experimental Center, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany
| | - Jörg Distler
- Department of Experimental Therapy, Preclinical Experimental Center, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany
| | - Anja Schulze-Krebs
- Department of Experimental Therapy, Preclinical Experimental Center, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany
| | - Ivanna K Timotius
- Department of Experimental Therapy, Preclinical Experimental Center, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany; Department of Electronic Engineering, Satya Wacana Christian University, 50711 Salatiga, Indonesia
| | - Alexandra Bluhm
- Paul-Flechsig-Institute for Brain Research, University of Leipzig, 04103 Leipzig, Germany
| | | | - Steffen Roßner
- Paul-Flechsig-Institute for Brain Research, University of Leipzig, 04103 Leipzig, Germany
| | - Jürgen Winkler
- Department of Molecular Neurology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany
| | - Wei Xiang
- Department of Molecular Neurology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany.
| | - Stephan von Hörsten
- Department of Experimental Therapy, Preclinical Experimental Center, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany.
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Tóth Š, Kulcsárová K, Maretta M, Kunová A, Mechírová E, Gdovinová Z, Feketeová E, Ribeiro Ventosa J, Baloghová J, Bekeová M, Christová P, Mrázová S, Muránska S, Zeidan D, Škorvánek M. α-synuclein antibody 5G4 identifies idiopathic REM-sleep behavior disorder in abdominal skin biopsies. Parkinsonism Relat Disord 2024; 120:105956. [PMID: 38217955 DOI: 10.1016/j.parkreldis.2023.105956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 11/25/2023] [Accepted: 12/06/2023] [Indexed: 01/15/2024]
Abstract
INTRODUCTION Idiopathic REM-sleep behavior disorder (iRBD) is considered the most specific prodromal marker of Parkinson's disease (PD). With the need to improve early detection of prodromal α-synucleinopathies, several methods to identify peripheral α-synuclein (α-syn) pathology have been exploited in manifest and prodromal PD with varying diagnostic accuracy. Recently, a disease specific 5G4 antibody has been evaluated in skin biopsies of manifest PD patients. The aim of our study was to analyze the 5G4 α-syn immunoreactivity in skin biopsies of deeply phenotyped subjects with iRBD and controls. METHODS The study cohort consisted of 28 patients with PD, 24 subjects with iRBD and 27 healthy controls, recruited from the CEGEMOD, PDBIOM and PARCAS cohorts. All subjects were deeply phenotyped and assessed for prodromal PD (pPD) probability based on MDS research criteria. Abdominal skin punch biopsies were processed and stained using a conformation specific 5G4 α-syn antibody as well as axonal markers SMI-31 and S100. RESULTS 5G4-positivity was identified in 23/28 PD patients, 20/24 iRBD subjects and 8/27 healthy controls. Compared to healthy controls, sensitivity and specificity reached 83.33 % and 70.37 % for iRBD; and 82.14 % and 70.37 % for PD, respectively. 5G4-positivity rate in our study was irrespective of the calculated pPD probability of iRBD subjects. CONCLUSIONS This work establishes the diagnostic yield of conformation specific 5G4 α-syn antibody testing in skin biopsies of subjects with pPD, specifically iRBD. The diagnostic accuracy for this method seems to be similar for both manifest and prodromal PD and is not dependent on the pPD probability ratios.
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Affiliation(s)
- Štefan Tóth
- Department of Histology and Embryology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic.
| | - Kristína Kulcsárová
- Department of Neurology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic; Department of Neurology, University Hospital of L. Pasteur, Košice, Slovak Republic; Department of Clinical Neurosciences, University Scientific Park MEDIPARK, P. J. Šafárik University, Kosice, Slovak Republic
| | - Milan Maretta
- Department of Neurology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic; Department of Neurology, University Hospital of L. Pasteur, Košice, Slovak Republic
| | - Alexandra Kunová
- Department of Histology and Embryology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic
| | - Eva Mechírová
- Department of Histology and Embryology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic
| | - Zuzana Gdovinová
- Department of Neurology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic; Department of Neurology, University Hospital of L. Pasteur, Košice, Slovak Republic
| | - Eva Feketeová
- Department of Neurology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic; Department of Neurology, University Hospital of L. Pasteur, Košice, Slovak Republic
| | - Joaquim Ribeiro Ventosa
- Department of Neurology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic; Department of Neurology, University Hospital of L. Pasteur, Košice, Slovak Republic; Department of Clinical Neurosciences, University Scientific Park MEDIPARK, P. J. Šafárik University, Kosice, Slovak Republic
| | - Janette Baloghová
- Department of Dermatovenerology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic; Department of Dermatovenerology, University Hospital of L. Pasteur, Košice, Slovak Republic
| | - Martina Bekeová
- Department of Neurology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic
| | - Petronela Christová
- Department of Neurology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic
| | - Soňa Mrázová
- Department of Neurology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic
| | - Soňa Muránska
- Department of Neurology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic
| | - Dema Zeidan
- Department of Histology and Embryology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic
| | - Matej Škorvánek
- Department of Neurology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic; Department of Neurology, University Hospital of L. Pasteur, Košice, Slovak Republic
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Marrie RA, Maxwell CJ, Rotstein DL, Tsai CC, Tremlett H. Prodromes in demyelinating disorders, amyotrophic lateral sclerosis, Parkinson disease, and Alzheimer's dementia. Rev Neurol (Paris) 2024; 180:125-140. [PMID: 37567819 DOI: 10.1016/j.neurol.2023.07.002] [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: 05/29/2023] [Revised: 06/24/2023] [Accepted: 07/03/2023] [Indexed: 08/13/2023]
Abstract
A prodrome is an early set of symptoms, which indicates the onset of a disease; these symptoms are often non-specific. Prodromal phases are now recognized in multiple central nervous system diseases. The depth of understanding of the prodromal phase varies across diseases, being more nascent for multiple sclerosis for example, than for Parkinson disease or Alzheimer's disease. Key challenges when identifying the prodromal phase of a disease include the lack of specificity of prodromal symptoms, and consequent need for accessible and informative biomarkers. Further, heterogeneity of the prodromal phase may be influenced by age, sex, genetics and other poorly understood factors. Nonetheless, recognition that an individual is in the prodromal phase of disease offers the opportunity for earlier diagnosis and with it the opportunity for earlier intervention.
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Affiliation(s)
- R A Marrie
- Departments of Internal Medicine and Community Health Sciences, Rady Faculty of Health Sciences, Max-Rady College of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada.
| | - C J Maxwell
- Schools of Pharmacy and Public Health Sciences, University of Waterloo, Waterloo, Ontario, Canada; ICES, Toronto, Ontario, Canada
| | - D L Rotstein
- Department of Medicine, University of Toronto, 6, Queen's Park Crescent West, 3rd floor, M5S 3H2 Toronto, Ontario, Canada; Saint-Michael's Hospital, 30, Bond Street, M5B 1W8 Toronto, Ontario, Canada
| | - C-C Tsai
- Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - H Tremlett
- Faculty of Medicine (Neurology), University of British Columbia, Vancouver, BC, Canada
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Imarisio A, Yahyavi I, Avenali M, Di Maio A, Buongarzone G, Galandra C, Picascia M, Filosa A, Gasparri C, Monti MC, Rondanelli M, Pacchetti C, Errico F, Valente EM, Usiello A. Blood D-serine levels correlate with aging and dopaminergic treatment in Parkinson's disease. Neurobiol Dis 2024; 192:106413. [PMID: 38253208 DOI: 10.1016/j.nbd.2024.106413] [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: 12/28/2023] [Revised: 01/17/2024] [Accepted: 01/19/2024] [Indexed: 01/24/2024] Open
Abstract
We recently described increased D- and L-serine concentrations in the striatum of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-treated monkeys, the post-mortem caudate-putamen of human Parkinson's disease (PD) brains and the cerebrospinal fluid (CSF) of de novo living PD patients. However, data regarding blood D- and L-serine levels in PD are scarce. Here, we investigated whether the serum profile of D- and L-serine, as well as the other glutamate N-methyl-D-aspartate ionotropic receptor (NMDAR)-related amino acids, (i) differs between PD patients and healthy controls (HC) and (ii) correlates with clinical-demographic features and levodopa equivalent daily dose (LEDD) in PD. Eighty-three consecutive PD patients and forty-one HC were enrolled. PD cohort underwent an extensive clinical characterization. Serum levels of D- and L-serine, L-glutamate, L-glutamine, L-aspartate, L-asparagine and glycine were determined using High Performance Liquid Chromatography. In age- and sex-adjusted analyses, no differences emerged in the serum levels of D-serine, L-serine and other NMDAR-related amino acids between PD and HC. However, we found that D-serine and D-/Total serine ratio positively correlated with age in PD but not in HC, and also with PD age at onset. Moreover, we found that higher LEDD correlated with lower levels of D-serine and the other excitatory amino acids. Following these results, the addition of LEDD as covariate in the analyses disclosed a selective significant increase of D-serine in PD compared to HC (Δ ≈ 38%). Overall, these findings suggest that serum D-serine and D-/Total serine may represent a valuable biochemical signature of PD.
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Affiliation(s)
- Alberto Imarisio
- Department of Molecular Medicine, University of Pavia, 27100 Pavia, Italy; Neurogenetics Research Centre, IRCCS Mondino Foundation, 27100 Pavia, Italy
| | - Isar Yahyavi
- Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, Università degli Studi della Campania "Luigi Vanvitelli", 81100 Caserta, Italy; CEINGE Biotecnologie Avanzate Franco Salvatore, Naples, Italy
| | - Micol Avenali
- Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy; Parkinson's Disease and Movement Disorders Unit, IRCCS Mondino Foundation, 27100 Pavia, Italy
| | - Anna Di Maio
- Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, Università degli Studi della Campania "Luigi Vanvitelli", 81100 Caserta, Italy; CEINGE Biotecnologie Avanzate Franco Salvatore, Naples, Italy
| | - Gabriele Buongarzone
- Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy; Parkinson's Disease and Movement Disorders Unit, IRCCS Mondino Foundation, 27100 Pavia, Italy
| | - Caterina Galandra
- Neurogenetics Research Centre, IRCCS Mondino Foundation, 27100 Pavia, Italy
| | - Marta Picascia
- Parkinson's Disease and Movement Disorders Unit, IRCCS Mondino Foundation, 27100 Pavia, Italy
| | - Asia Filosa
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy
| | - Clara Gasparri
- Endocrinology and Nutrition Unit, Azienda di Servizi alla Persona "Istituto Santa Margherita", University of Pavia, 27100 Pavia, Italy
| | - Maria Cristina Monti
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy
| | - Mariangela Rondanelli
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy
| | - Claudio Pacchetti
- Parkinson's Disease and Movement Disorders Unit, IRCCS Mondino Foundation, 27100 Pavia, Italy
| | - Francesco Errico
- CEINGE Biotecnologie Avanzate Franco Salvatore, Naples, Italy; Department of Agricultural Sciences, University of Naples "Federico II", 80055 Portici, Italy
| | - Enza Maria Valente
- Department of Molecular Medicine, University of Pavia, 27100 Pavia, Italy; Neurogenetics Research Centre, IRCCS Mondino Foundation, 27100 Pavia, Italy.
| | - Alessandro Usiello
- Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, Università degli Studi della Campania "Luigi Vanvitelli", 81100 Caserta, Italy; CEINGE Biotecnologie Avanzate Franco Salvatore, Naples, Italy
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Yoon SY, Heo SJ, Kim YW, Lee SC, Shin J, Lee JW. Depressive Symptoms and the Subsequent Risk of Parkinson's Disease: A Nationwide Cohort Study. Am J Geriatr Psychiatry 2024; 32:339-348. [PMID: 37953133 DOI: 10.1016/j.jagp.2023.10.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 10/04/2023] [Accepted: 10/04/2023] [Indexed: 11/14/2023]
Abstract
OBJECTIVE Only a few studies have focused on depressive symptoms and Parkinson's disease (PD) risk. As a time lag exists from the onset of depressive symptoms to the diagnosis of depression, elucidating the association between depressive symptoms and PD development might be helpful for the early prediction of PD. We investigate the association between depressive symptoms and subsequent PD risk using nationwide population-based cohort database. DESIGN AND SETTING Cohort study using the Korean National Health Insurance Service data between 2007 and 2017, with longitudinal follow-up until 2019. PARTICIPANTS A total of 98,296 elderly people responded to a self-reported questionnaire from the National Health Screening Program on depressive symptoms. MEASUREMENTS The association between depressive symptoms such as 1) decreased activity or motivation, 2) worthlessness, and 3) hopelessness and PD risk was analyzed. RESULTS During median 5.06-year follow-up, 839 PD cases occurred: 230 in individuals with depressive symptoms and 609 in those without symptoms. Results showed an increased risk of PD development in those with depressive symptoms (HR = 1.47, 95% CI, 1.26-1.71), with dose-response association between the number of depressive symptoms and PD risk. Even in those already diagnosed with depression, combined depressive symptoms were linked to a higher risk compared to those without symptoms (with symptoms, HR = 2.71, 95% CI, 2.00-3.68; without symptoms, HR = 1.84, 95% CI, 1.43-2.36). CONCLUSION Individuals with depressive symptoms were at an increased risk of developing PD, and there was a dose-response association between the number of depressive symptoms and PD risk.
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Affiliation(s)
- Seo Yeon Yoon
- Department and Research Institute of Rehabilitation Medicine (SYY, YWK, SCL), Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Seok-Jae Heo
- Department of Biostatistics and Computing (SJH), Yonsei University Graduate School, Seoul, Republic of Korea
| | - Yong Wook Kim
- Department and Research Institute of Rehabilitation Medicine (SYY, YWK, SCL), Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Sang Chul Lee
- Department and Research Institute of Rehabilitation Medicine (SYY, YWK, SCL), Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jaeyong Shin
- Department of Preventive Medicine and Public Health (JS), Yonsei University College of Medicine, Seoul, Republic of Korea.
| | - Jang Woo Lee
- Department of Physical Medicine and Rehabilitation (JWL), National Health Insurance Service Ilsan Hospital, Goyang, Republic of Korea.
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ŞtefŞnescu E, Strilciuc Ş, Chelaru VF, Chira D, Mureşanu D. Eye tracking assessment of Parkinson's disease: a clinical retrospective analysis. J Med Life 2024; 17:360-367. [PMID: 39044921 PMCID: PMC11262608 DOI: 10.25122/jml-2024-0270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Accepted: 05/16/2024] [Indexed: 07/25/2024] Open
Abstract
Parkinson's disease (PD) presents a significant clinical challenge due to its profound motor and cognitive impacts. Early diagnosis is crucial for implementing effective, stage-based treatment strategies. Recently, eye-tracking technology has emerged as a promising tool for the non-invasive diagnosis and monitoring of various neurological disorders, including PD. This retrospective study analyzed eye-tracking parameters, specifically visually-guided saccades (VGS), in PD patients within a clinical setting. We reviewed eye-tracking data from 62 PD patients, focusing on eye movement performance in horizontal and vertical VGS tasks. Our findings revealed significant correlations between demographic profiles, Mini-Mental State Examination (MMSE) scores, pattern recognition, and spatial working memory tests with saccadic performance in PD patients. Despite the retrospective nature of the study, our results support the potential of eye-tracking technology as a valuable diagnostic tool in PD assessment and monitoring. Future research should prioritize longitudinal studies and more comprehensive assessments to further understand and enhance the clinical application of eye-tracking in PD.
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Affiliation(s)
- Emanuel ŞtefŞnescu
- Department of Neuroscience, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
- RoNeuro Institute for Neurological Research and Diagnostic, Cluj-Napoca, Romania
| | - ştefan Strilciuc
- RoNeuro Institute for Neurological Research and Diagnostic, Cluj-Napoca, Romania
- Research Center for Functional Genomics, Biomedicine, and Translational Medicine, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Vlad-Florin Chelaru
- Department of Neuroscience, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
- RoNeuro Institute for Neurological Research and Diagnostic, Cluj-Napoca, Romania
| | - Diana Chira
- Department of Neuroscience, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
- RoNeuro Institute for Neurological Research and Diagnostic, Cluj-Napoca, Romania
| | - Dafin Mureşanu
- Department of Neuroscience, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
- RoNeuro Institute for Neurological Research and Diagnostic, Cluj-Napoca, Romania
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Chamberlin KW, Li C, Luo Z, D'Aloisio AA, Pinto JM, Sandler DP, Chen H. Use of nonsteroidal anti-inflammatory drugs and poor olfaction in women. Int Forum Allergy Rhinol 2024; 14:639-650. [PMID: 37548119 DOI: 10.1002/alr.23241] [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: 05/02/2023] [Revised: 07/06/2023] [Accepted: 07/17/2023] [Indexed: 08/08/2023]
Abstract
BACKGROUND It is unclear whether regular use of nonsteroidal anti-inflammatory drugs (NSAIDs) is associated with poor olfaction in older adults. METHODS We selected 4020 participants, aged 50 to 79 years in 2018, from 36,492 eligible participants in the National Institute of Environmental Health Sciences Sister Study, according to their self-reported olfaction status. Of these, 3406 women completed the 12-item Brief Smell Identification Test. We defined poor olfaction as a test score ≤9 in the primary analysis. We then estimated odds ratios (ORs) and 95% confidence intervals (CIs) from weighted logistic models, accounting for the study design, missing exposures/outcomes, and covariates. RESULTS Overall, NSAID use was not associated with poor olfaction. However, we found evidence for potential multiplicative interactions. Specifically, the OR comparing regular versus never use of aspirin was 1.8 (95% CI, 1.1-3.2) among women who had not regularly used nonaspirin NSAIDs, while the corresponding OR was 0.8 (95% CI, 0.5-1.2) among nonaspirin NSAID users (P for interaction = 0.016). Similar results were seen for ibuprofen alone versus ibuprofen with other NSAID use (P for interaction = 0.010). Among women using either drug alone, associations with poor olfaction increased with increasing duration and cumulative dose. Post hoc analyses showed that the interactions could not be readily explained by potential biases. Other NSAIDs were not associated with olfaction. CONCLUSION Long-term regular use of aspirin or ibuprofen was associated with poor olfaction among women who never regularly used other types of NSAIDs. These preliminary findings warrant independent confirmation.
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Affiliation(s)
- Keran W Chamberlin
- Department of Epidemiology and Biostatistics, Michigan State University College of Human Medicine, East Lansing, Michigan, USA
| | - Chenxi Li
- Department of Epidemiology and Biostatistics, Michigan State University College of Human Medicine, East Lansing, Michigan, USA
| | - Zhehui Luo
- Department of Epidemiology and Biostatistics, Michigan State University College of Human Medicine, East Lansing, Michigan, USA
| | - Aimee A D'Aloisio
- Social & Scientific Systems, DLH Holdings Corporation, Durham, North Carolina, USA
| | - Jayant M Pinto
- Department of Surgery, The University of Chicago, Chicago, Illinois, USA
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA
| | - Honglei Chen
- Department of Epidemiology and Biostatistics, Michigan State University College of Human Medicine, East Lansing, Michigan, USA
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Matsushima T, Yoshinaga K, Wakasugi N, Togo H, Hanakawa T. Functional connectivity-based classification of rapid eye movement sleep behavior disorder. Sleep Med 2024; 115:5-13. [PMID: 38295625 DOI: 10.1016/j.sleep.2024.01.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 01/13/2024] [Accepted: 01/16/2024] [Indexed: 02/02/2024]
Abstract
BACKGROUND Isolated rapid eye movement sleep behavior disorder (iRBD) is a clinically important parasomnia syndrome preceding α-synucleinopathies, thereby prompting us to develop methods for evaluating latent brain states in iRBD. Resting-state functional magnetic resonance imaging combined with a machine learning-based classification technology may help us achieve this purpose. METHODS We developed a machine learning-based classifier using functional connectivity to classify 55 patients with iRBD and 97 healthy elderly controls (HC). Selecting 55 HCs randomly from the HC dataset 100 times, we conducted a classification of iRBD and HC for each sampling, using functional connectivity. Random forest ranked the importance of functional connectivity, which was subsequently used for classification with logistic regression and a support vector machine. We also conducted correlation analysis of the selected functional connectivity with subclinical variations in motor and non-motor functions in the iRBDs. RESULTS Mean classification performance using logistic regression was 0.649 for accuracy, 0.659 for precision, 0.662 for recall, 0.645 for f1 score, and 0.707 for the area under the receiver operating characteristic curve (p < 0.001 for all). The result was similar in the support vector machine. The classifier used functional connectivity information from nine connectivities across the motor and somatosensory areas, parietal cortex, temporal cortex, thalamus, and cerebellum. Inter-individual variations in functional connectivity were correlated with the subclinical motor and non-motor symptoms of iRBD patients. CONCLUSIONS Machine learning-based classifiers using functional connectivity may be useful to evaluate latent brain states in iRBD.
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Affiliation(s)
- Toma Matsushima
- Department of Advanced Neuroimaging, Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, 187-8501, Japan; Department of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, Koganei, Tokyo, 184-8588, Japan
| | - Kenji Yoshinaga
- Department of Integrated Neuroanatomy and Neuroimaging, Kyoto University Graduate School of Medicine, Kyoto, 606-8501, Japan
| | - Noritaka Wakasugi
- Department of Advanced Neuroimaging, Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, 187-8501, Japan
| | - Hiroki Togo
- Department of Advanced Neuroimaging, Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, 187-8501, Japan; Department of Integrated Neuroanatomy and Neuroimaging, Kyoto University Graduate School of Medicine, Kyoto, 606-8501, Japan
| | - Takashi Hanakawa
- Department of Advanced Neuroimaging, Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, 187-8501, Japan; Department of Integrated Neuroanatomy and Neuroimaging, Kyoto University Graduate School of Medicine, Kyoto, 606-8501, Japan.
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Yin P, Niu X, Guan C, Zhang Z, Liu Y, Li J, Cui G, Zan K, Xu C. Relationship between increased serum neurofilament light chain and glial fibrillary acidic protein levels with non-motor symptoms in patients with Parkinson's disease. Psychogeriatrics 2024; 24:415-425. [PMID: 38339819 DOI: 10.1111/psyg.13088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Revised: 01/14/2024] [Accepted: 01/26/2024] [Indexed: 02/12/2024]
Abstract
BACKGROUND This study set out to investigate the relationship between serum neurofilament light chain (NFL), glial fibrillary acidic protein (GFAP), and various non-motor symptoms (NMSs) in patients with Parkinson's disease (PD). METHODS The study included 37 healthy controls (HCs) and 51 PD patients. Clinical assessments of PD symptoms were conducted for all PD patients. The NMSS was utilised to evaluate the NMS burden (NMSB) in individuals. Based on the severity of NMSB, we further categorised the PD group into two subgroups: mild-moderate NMSB group and severe-very severe NMSB group. The amounts of NFL and GFAP in the serum were measured using an extremely sensitive single molecule array (Simoa) method. Statistical analyses were performed on the collected data using SPSS 26.0 and R (version 3.6.3). RESULTS Serum GFAP and NFL levels in the PD group with severe-very severe NMSB were significantly higher than those in the mild-moderate NMSB group (GFAP: P < 0.007; NFL: P < 0.009). Serum NFL and GFAP levels had positive correlations with NMSS total scores (GFAP: r = 0.326, P = 0.020; NFL: r = 0.318, P = 0.023) and multiple subdomains. The relationship between the attention/memory domains of NMSS and NFL levels is significantly positive (r = 0.283, P = 0.044). Similarly, the mood/apathy domains of NMSS are also significantly positively correlated with GFAP levels (r = 0.441, P = 0.001). Patients with emotional problems or cognitive impairment had higher GFAP or NFL levels, respectively. Furthermore, it has been demonstrated that NMSs play a mediating role in the quality of life of patients with PD. Moreover, the combination of NFL and GFAP has proven to be more effective than using a single component in identifying PD patients with severe-very severe NMSB. CONCLUSIONS The severity of NMSs in PD patients, particularly cognitive and emotional symptoms, was found to be associated with the levels of serum NFL and GFAP. This study marks the first attempt to examine the connection between NMSs of PD and the simultaneous identification of NFL and GFAP levels.
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Affiliation(s)
- Peixiao Yin
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
- Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, China
| | - Xuebin Niu
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
- Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, China
| | - Chenyang Guan
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
- Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, China
| | - Zixuan Zhang
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
- Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, China
| | - Yuning Liu
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
- Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, China
| | - Jinyu Li
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
- Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, China
| | - Guiyun Cui
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
- Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, China
| | - Kun Zan
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
- Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, China
| | - Chuanying Xu
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
- Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, China
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Pasricha TS, Guerrero-Lopez IL, Kuo B. Management of Gastrointestinal Symptoms in Parkinson's Disease: A Comprehensive Review of Clinical Presentation, Workup, and Treatment. J Clin Gastroenterol 2024; 58:211-220. [PMID: 38260966 PMCID: PMC10855995 DOI: 10.1097/mcg.0000000000001961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 12/11/2023] [Indexed: 01/24/2024]
Abstract
Gastrointestinal symptoms in Parkinson's disease (PD) are among the most prevalent and debilitating of complications and present unique diagnostic and management challenges. Patients with PD commonly experience dysphagia, nausea, bloating, and constipation related to pathologic involvement of the enteric nervous system. In turn, gastrointestinal complications may impact motor fluctuations and the efficacy of levodopa therapy. This review will explore the common gastrointestinal manifestations of PD with an emphasis on clinical presentation, workup, and treatment strategies.
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Affiliation(s)
- Trisha S. Pasricha
- Division of Gastroenterology, Massachusetts General Hospital
- Harvard Medical School, Boston, MA
| | | | - Braden Kuo
- Division of Gastroenterology, Massachusetts General Hospital
- Harvard Medical School, Boston, MA
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68
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Mahlknecht P, Poewe W. Pharmacotherapy for Disease Modification in Early Parkinson's Disease: How Early Should We Be? JOURNAL OF PARKINSON'S DISEASE 2024:JPD230354. [PMID: 38427503 DOI: 10.3233/jpd-230354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/03/2024]
Abstract
Slowing or halting progression continues to be a major unmet medical need in Parkinson's disease (PD). Numerous trials over the past decades have tested a broad range of interventions without ultimate success. There are many potential reasons for this failure and much debate has focused on the need to test 'disease-modifying' candidate drugs in the earliest stages of disease. While generally accepted as a rational approach, it is also associated with significant challenges around the selection of trial populations as well as trial outcomes and durations. From a health care perspective, intervening even earlier and before at-risk subjects have gone on to develop overt clinical disease is at the heart of preventive medicine. Recent attempts to develop a framework for a biological definition of PD are aiming to enable 'preclinical' and subtype-specific diagnostic approaches. The present review addresses past efforts towards disease-modification, including drug targets and reasons for failure, as well as novel targets that are currently being explored in disease-modification trials in early established PD. The new biological definitions of PD may offer new opportunities to intervene even earlier. We critically discuss the potential and challenges around planning 'disease-prevention' trials in subjects with biologically defined 'preclinical' or prodromal PD.
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Affiliation(s)
- Philipp Mahlknecht
- Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
| | - Werner Poewe
- Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
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69
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Yamakado H, Takahashi R. Experimental Animal Models of Prodromal Parkinson's Disease. JOURNAL OF PARKINSON'S DISEASE 2024:JPD230393. [PMID: 38427504 DOI: 10.3233/jpd-230393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/03/2024]
Abstract
There is an estimated 35-45% loss of striatal dopamine at the time of diagnosis of Parkinson's disease (PD), and cases clinically diagnosed in the early stages may already be pathologically in advanced stages. Recent large-scale clinical trials of disease-modifying therapies (DMT) also suggest the necessity of targeting patients at earlier stages of the disease. From this perspective, the prodromal phase of PD is currently the focus of attention, emphasizing the need for a prodromal mouse model that accurately reflects the pathophysiology, along with early biomarkers. To establish prodromal animal model of PD with high face validity that reflects the disease state, the model must possess high construct validity that accurately incorporates clinical and pathological features in the prodromal phase. Furthermore, as a preclinical model of DMT, the model must possess high predictive validity to accurately evaluate the response to intervention. This review provides an overview of animal models which reflect the characteristics of prodromal PD, including alpha-synuclein (aS) accumulation and associated early non-motor symptoms, with a focus on the aS propagation model and genetic model. In addition, we discuss the challenges associated with these models. The genetic model often fails to induce motor symptoms, while aS propagation models skip the crucial step of initial aS aggregate formation, thereby not fully replicating the entire natural course of the disease. Identifying factors that induce the transition from prodromal to symptomatic phase is important as a preclinical model for DMT to prevent or delay the onset of the disease.
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Affiliation(s)
- Hodaka Yamakado
- Department of Therapeutics for Multiple System Atrophy, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Ryosuke Takahashi
- Department of Neurology, Kyoto University Graduate School of Medicine, Kyoto, Japan
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70
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Bayram E, Reho P, Litvan I, Ding J, Gibbs JR, Dalgard CL, Traynor BJ, Scholz SW, Chia R. Genetic analysis of the X chromosome in people with Lewy body dementia nominates new risk loci. NPJ Parkinsons Dis 2024; 10:39. [PMID: 38378815 PMCID: PMC10879525 DOI: 10.1038/s41531-024-00649-7] [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: 09/25/2023] [Accepted: 02/01/2024] [Indexed: 02/22/2024] Open
Abstract
Sex influences the prevalence and symptoms of Lewy body dementia (LBD). However, genome-wide association studies typically focus on autosomal variants and exclude sex-specific risk factors. We addressed this gap by performing an X chromosome-wide association study using whole-genome sequence data from 2591 LBD cases and 4391 controls. We identified a significant risk locus within intron 1 of MAP3K15 (rs141773145, odds ratio = 2.42, 95% confidence interval = 1.65-3.56, p-value = 7.0 × 10-6) in female LBD cases conditioned for APOE ε4 dosage. The locus includes an enhancer region that regulates MAP3K15 expression in ganglionic eminence cells derived from primary cultured neurospheres. Rare variant burden testing showed differential enrichment of missense mutations in TEX13A in female LBD cases, that did not reach significance (p-value = 1.34 × 10-4). These findings support the sex-specific effects of genetic factors and a potential role of Alzheimer's-related risk for females with LBD.
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Affiliation(s)
- Ece Bayram
- Department of Neurosciences, Parkinson and Other Movement Disorders Center, University of California San Diego, La Jolla, CA, USA
| | - Paolo Reho
- Neurodegenerative Diseases Research Unit, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Irene Litvan
- Department of Neurosciences, Parkinson and Other Movement Disorders Center, University of California San Diego, La Jolla, CA, USA
| | - Jinhui Ding
- Computational Biology Group, Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA
| | - J Raphael Gibbs
- Computational Biology Group, Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA
| | - Clifton L Dalgard
- Department of Anatomy, Physiology & Genetics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- The American Genome Center, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Bryan J Traynor
- Department of Neurology, Johns Hopkins University Medical Center, Baltimore, MD, USA
- Neuromuscular Diseases Research Section, National Institute on Aging, Bethesda, MD, USA
- Therapeutics Development Laboratory, National Center for Advancing Translational Sciences, Rockville, MD, USA
| | - Sonja W Scholz
- Neurodegenerative Diseases Research Unit, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
- Department of Neurology, Johns Hopkins University Medical Center, Baltimore, MD, USA
| | - Ruth Chia
- Neuromuscular Diseases Research Section, National Institute on Aging, Bethesda, MD, USA.
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71
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Maetzler W, Mirelman A, Pilotto A, Bhidayasiri R. Identifying Subtle Motor Deficits Before Parkinson's Disease is Diagnosed: What to Look for? JOURNAL OF PARKINSON'S DISEASE 2024:JPD230350. [PMID: 38363620 DOI: 10.3233/jpd-230350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/17/2024]
Abstract
Motor deficits typical of Parkinson's disease (PD), such as gait and balance disturbances, tremor, reduced arm swing and finger movement, and voice and breathing changes, are believed to manifest several years prior to clinical diagnosis. Here we describe the evidence for the presence and progression of motor deficits in this pre-diagnostic phase in order to provide suggestions for the design of future observational studies for an effective, quantitatively oriented investigation. On the one hand, these future studies must detect these motor deficits in as large (potentially, population-based) cohorts as possible with high sensitivity and specificity. On the other hand, they must describe the progression of these motor deficits in the pre-diagnostic phase as accurately as possible, to support the testing of the effect of pharmacological and non-pharmacological interventions. Digital technologies and artificial intelligence can substantially accelerate this process.
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Affiliation(s)
- Walter Maetzler
- Department of Neurology University Hospital Schleswig-Holstein and Kiel University, Kiel, Germany
| | - Anat Mirelman
- Laboratory for Early Markers of Neurodegeneration, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
- Sagol School of Neuroscience and Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Andrea Pilotto
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
- Laboratory of Digital Neurology and Biosensors, University of Brescia, Brescia, Italy
- Neurology Unit, Department of Continuity of Care and Frailty, ASST Spedali Civili Brescia Hospital, Brescia, Italy
| | - Roongroj Bhidayasiri
- Chulalongkorn Centre of Excellence for Parkinson's Disease & Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
- The Academy of Science, The Royal Society of Thailand, Bangkok, Thailand
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72
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Fang S, Lee PAH, Wang Z, Zhao B. The Impact of 90 Parkinson's Disease-Risk Single Nucleotide Polymorphisms on Urinary Bis(monoacylglycerol)phosphate Levels in the Prodromal and PD Cohorts. Int J Mol Sci 2024; 25:2286. [PMID: 38396963 PMCID: PMC10889274 DOI: 10.3390/ijms25042286] [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: 12/27/2023] [Revised: 02/01/2024] [Accepted: 02/12/2024] [Indexed: 02/25/2024] Open
Abstract
Parkinson's disease (PD) is a common neurodegenerative disorder with a prolonged prodromal phase. Higher urinary bis(monoacylglycerol)phosphate (BMP) levels associate with LRRK2 (leucine-rich repeat kinase 2) and GBA1 (glucocerebrosidase) mutations, and are considered as potential noninvasive biomarkers for predicting those mutations and PD progression. However, their reliability has been questioned, with inadequately investigated genetics, cohorts, and population. In this study, multiple statistical hypothesis tests were employed on urinary BMP levels and sequences of 90 PD-risk single nucleotide polymorphisms (SNPs) from Parkinson's Progression Markers Institution (PPMI) participants. Those SNPs were categorized into four groups based on their impact on BMP levels in various cohorts. Variants rs34637584 G/A and rs34637584 A/A (LRRK2 G2019S) were identified as the most relevant on increasing urinary BMP levels in the PD cohort. Meanwhile, rs76763715 T/T (GBA1) was the primary factor elevating BMP levels in the prodromal cohort compared to its T/C and C/C variants (N370S) and the PD cohort. Proteomics analysis indicated the changed transport pathways may be the reasons for elevated BMP levels in prodromal patients. Our findings demonstrated that higher urinary BMP levels alone were not reliable biomarkers for PD progression or gene mutations but might serve as supplementary indicators for early diagnosis and treatment.
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Affiliation(s)
| | | | - Zejian Wang
- Engineering Research Center of Cell and Therapeutic Antibody, Ministry of Education, School of Pharmacy, Shanghai Jiao Tong University, Shanghai 200240, China; (S.F.); (P.A.H.L.)
| | - Bo Zhao
- Engineering Research Center of Cell and Therapeutic Antibody, Ministry of Education, School of Pharmacy, Shanghai Jiao Tong University, Shanghai 200240, China; (S.F.); (P.A.H.L.)
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Mills KA, Du Y, Coughlin JM, Foss CA, Horti AG, Jenkins K, Skorobogatova Y, Spiro E, Motley CS, Dannals RF, Song JJ, Choi YR, Redding-Ochoa J, Troncoso J, Dawson VL, Kam TI, Pomper MG, Dawson TM. Exploring [ 11C]CPPC as a CSF1R-targeted PET Imaging Marker for Early Parkinson's Disease Severity. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2023.05.28.23290647. [PMID: 37398476 PMCID: PMC10312881 DOI: 10.1101/2023.05.28.23290647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Neuroinflammation through enhanced innate immunity is thought play a role in the pathogenesis of Parkinson's disease (PD). Methods for monitoring neuroinflammation in living patients with PD are currently limited to positron emission tomography (PET) ligands that lack specificity in labeling immune cells in the nervous system. The colony stimulating factor 1 receptor (CSF1R) plays a crucial role in microglial function, an important cellular contributor to the nervous system's innate immune response. Using immunologic methods, we show that CSF1R in human brain is colocalized with the microglial marker, ionized calcium binding adaptor molecule 1 (Iba1). In PD, CSF1R immunoreactivity is significantly increased in PD across multiple brain regions, with the largest differences in the midbrain versus controls. Autoradiography revealed significantly increased [3H]JHU11761 binding in the inferior parietal cortex of PD patients. PET imaging demonstrated that higher [11C]CPPC binding in the striatum was associated with greater motor disability in PD. Furthermore, increased [11C]CPPC binding in various regions correlated with more severe motor disability and poorer verbal fluency. This study finds that CSF1R expression is elevated in PD and that [11C]CPPC-PET imaging of CSF1R is indicative of motor and cognitive impairments in the early stages of the disease. Moreover, the study underscores the significance of CSF1R as a promising biomarker for neuroinflammation in Parkinson's disease, suggesting its potential use for non-invasive assessment of disease progression and severity, leading to earlier diagnosis and targeted interventions.
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Affiliation(s)
- Kelly A Mills
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Yong Du
- Johns Hopkins University School of Medicine, Russell H. Morgan Dept. of Radiology and Radiologic Science, Baltimore, MD, USA
| | - Jennifer M Coughlin
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Catherine A Foss
- Johns Hopkins University School of Medicine, Russell H. Morgan Dept. of Radiology and Radiologic Science, Baltimore, MD, USA
| | - Andrew G Horti
- Johns Hopkins University School of Medicine, Russell H. Morgan Dept. of Radiology and Radiologic Science, Baltimore, MD, USA
| | - Katelyn Jenkins
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Yana Skorobogatova
- Johns Hopkins University School of Medicine, Russell H. Morgan Dept. of Radiology and Radiologic Science, Baltimore, MD, USA
| | - Ergi Spiro
- Johns Hopkins University School of Medicine, Russell H. Morgan Dept. of Radiology and Radiologic Science, Baltimore, MD, USA
| | - Chelsie S Motley
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Robert F Dannals
- Johns Hopkins University School of Medicine, Russell H. Morgan Dept. of Radiology and Radiologic Science, Baltimore, MD, USA
| | - Jae-Jin Song
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Yu Ree Choi
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Javier Redding-Ochoa
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
- Department of Pathology (Neuropathology), Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Juan Troncoso
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
- Department of Pathology (Neuropathology), Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Valina L Dawson
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Physiology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Tae-In Kam
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Martin G Pomper
- Johns Hopkins University School of Medicine, Russell H. Morgan Dept. of Radiology and Radiologic Science, Baltimore, MD, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
- Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21287, US
- Department of Radiology, University of Texas Southwestern School of Medicine, Dallas, TX, USA (current)
| | - Ted M Dawson
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21287, US
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74
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Watanabe H, Dijkstra JM, Nagatsu T. Parkinson's Disease: Cells Succumbing to Lifelong Dopamine-Related Oxidative Stress and Other Bioenergetic Challenges. Int J Mol Sci 2024; 25:2009. [PMID: 38396687 PMCID: PMC10888576 DOI: 10.3390/ijms25042009] [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: 12/29/2023] [Revised: 01/31/2024] [Accepted: 02/02/2024] [Indexed: 02/25/2024] Open
Abstract
The core pathological event in Parkinson's disease (PD) is the specific dying of dopamine (DA) neurons of the substantia nigra pars compacta (SNc). The reasons why SNc DA neurons are especially vulnerable and why idiopathic PD has only been found in humans are still puzzling. The two main underlying factors of SNc DA neuron vulnerability appear related to high DA production, namely (i) the toxic effects of cytoplasmic DA metabolism and (ii) continuous cytosolic Ca2+ oscillations in the absence of the Ca2+-buffer protein calbindin. Both factors cause oxidative stress by producing highly reactive quinones and increasing intra-mitochondrial Ca2+ concentrations, respectively. High DA expression in human SNc DA neuron cell bodies is suggested by the abundant presence of the DA-derived pigment neuromelanin, which is not found in such abundance in other species and has been associated with toxicity at higher levels. The oxidative stress created by their DA production system, despite the fact that the SN does not use unusually high amounts of energy, explains why SNc DA neurons are sensitive to various genetic and environmental factors that create mitochondrial damage and thereby promote PD. Aging increases multiple risk factors for PD, and, to a large extent, PD is accelerated aging. To prevent PD neurodegeneration, possible approaches that are discussed here are (1) reducing cytoplasmic DA accumulation, (2) blocking cytoplasmic Ca2+ oscillations, and (3) providing bioenergetic support.
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Affiliation(s)
- Hirohisa Watanabe
- Department of Neurology, School of Medicine, Fujita Health University, Toyoake 470-1192, Aichi, Japan
| | - Johannes M. Dijkstra
- Center for Medical Science, Fujita Health University, Toyoake 470-1192, Aichi, Japan
| | - Toshiharu Nagatsu
- Center for Research Promotion and Support, Fujita Health University, Toyoake 470-1192, Aichi, Japan;
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75
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Ahn JH, Kang MC, Youn J, Park KA, Han KD, Jung JH. Nonarteritic anterior ischemic optic neuropathy and incidence of Parkinson's disease based on a nationwide population based study. Sci Rep 2024; 14:2930. [PMID: 38316950 PMCID: PMC10844599 DOI: 10.1038/s41598-024-53196-9] [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: 07/18/2023] [Accepted: 01/29/2024] [Indexed: 02/07/2024] Open
Abstract
This study aimed to investigate the association between nonarteritic anterior ischemic optic neuropathy (NAION) and Parkinson's disease (PD) using a retrospective, nationwide, population-based cohort in South Korea. This study utilized data from the Korean National Health Insurance database, including 43,960 NAION patients and 219,800 age- and sex-matched controls. Cox proportional hazards regression models were used to assess the risk of developing PD in the NAION group compared to the control group after adjusting for various confounding factors. Subgroup analyses were conducted based on sex, age, and comorbidities. The incidence rate of PD was higher in the NAION group (1.326 per 1000 person-years) than in the control group (0.859 per 1000 person-years). After adjusting for confounding factors, the risk of developing PD was significantly higher in the NAION group (adjusted hazard ratio [aHR] 1.516, 95% confidence interval [CI] 1.300-1.769). Subgroup analyses did not reveal a significant difference in the risk of PD development based on sex, age, or comorbidities. This retrospective, nationwide, population-based cohort study revealed a significant association between NAION and an increased risk of developing PD in a South Korean population. The incidence rate of PD was observed to be higher in individuals diagnosed with NAION than in age- and sex-matched controls even after adjusting for potential confounding variables, with the risk being approximately 51.6% higher in the NAION group. Further research is necessary to elucidate the underlying pathophysiological mechanisms linking NAION to PD and to determine whether similar associations exist in other ethnic and geographical populations.
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Affiliation(s)
- Jong Hyeon Ahn
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
- Neuroscience Center, Samsung Medical Center, Seoul, Republic of Korea
| | - Min Chae Kang
- Department of Ophthalmology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Jinyoung Youn
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea.
- Neuroscience Center, Samsung Medical Center, Seoul, Republic of Korea.
| | - Kyung-Ah Park
- Department of Ophthalmology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea.
| | - Kyung-Do Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea
| | - Jin-Hyung Jung
- Samsung Biomedical Research Institute, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea
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Blokhin V, Pavlova EN, Katunina EA, Nodel MR, Kataeva GV, Moskalets ER, Pronina TS, Ugrumov MV. Dopamine Synthesis in the Nigrostriatal Dopaminergic System in Patients at Risk of Developing Parkinson's Disease at the Prodromal Stage. J Clin Med 2024; 13:875. [PMID: 38337569 PMCID: PMC10856030 DOI: 10.3390/jcm13030875] [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: 12/11/2023] [Revised: 01/23/2024] [Accepted: 01/28/2024] [Indexed: 02/12/2024] Open
Abstract
Parkinson's disease (PD) is diagnosed by the onset of motor symptoms and treated long after its onset. Therefore, the development of the early diagnosis of PD is a priority for neurology. Advanced methodologies for this include (1) searching for patients at risk of developing prodromal PD based on premotor symptoms; (2) searching for changes in the body fluids in these patients as diagnostic biomarkers; (3) verifying the diagnosis of prodromal PD and diagnostic-value biomarkers using positron emission tomography (PET); (4) anticipating the development of motor symptoms. According to our data, the majority of patients (n = 14) at risk of developing PD selected in our previous study show pronounced interhemispheric asymmetry in the incorporation of 18F-DOPA into dopamine synthesis in the striatum. This was assessed for the caudate nucleus and putamen separately using the specific binding coefficient, asymmetry index, and putamen/caudate nucleus ratio. Interhemispheric asymmetry in the incorporation of 18F-DOPA into the striatum provides strong evidence for its dopaminergic denervation and the diagnostic value of previously identified blood biomarkers. Of the 17 patients at risk of developing prodromal PD studied using PET, 3 patients developed motor symptoms within a year. Thus, our study shows the promise of using the described methodology for the development of early diagnosis of PD.
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Affiliation(s)
- Victor Blokhin
- Laboratory of Neural and Neuroendocrine Regulations, Koltzov Institute of Developmental Biology of Russian Academy of Sciences, Moscow 119334, Russia; (V.B.); (E.N.P.); (T.S.P.)
| | - Ekaterina N. Pavlova
- Laboratory of Neural and Neuroendocrine Regulations, Koltzov Institute of Developmental Biology of Russian Academy of Sciences, Moscow 119334, Russia; (V.B.); (E.N.P.); (T.S.P.)
| | - Elena A. Katunina
- Federal Center of Brain Research and Neurotechnologies of the Russian Federal Medical and Biological Agency, Moscow 117513, Russia;
- Faculty of Medicine, Department of Neurology, Neurosurgery and Medical Genetics, N.I. Pirogov Russian National Research Medical University of the Ministry of Health of the Russian Federation, Moscow 117997, Russia
| | - Marina R. Nodel
- Department of Nervous Diseases and Neurosurgery, Sechenov First Moscow State Medical University (Sechenov University), Moscow 119435, Russia;
| | - Galina V. Kataeva
- Federal State Budget Institution Granov Russian Research Center of Radiology and Surgical Technologies Ministry of Health of the Russian Federation (RRCRST) 70, Leningradskaya Street, Pesochny, St. Petersburg 197758, Russia;
| | | | - Tatiana S. Pronina
- Laboratory of Neural and Neuroendocrine Regulations, Koltzov Institute of Developmental Biology of Russian Academy of Sciences, Moscow 119334, Russia; (V.B.); (E.N.P.); (T.S.P.)
| | - Michael V. Ugrumov
- Laboratory of Neural and Neuroendocrine Regulations, Koltzov Institute of Developmental Biology of Russian Academy of Sciences, Moscow 119334, Russia; (V.B.); (E.N.P.); (T.S.P.)
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77
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Wang S, An N, Wang Y, Li Y, Li H, Bai Y. Knowledge mapping of prodromal Parkinson's disease: A bibliometric review and analysis (2000-2023). Medicine (Baltimore) 2024; 103:e36985. [PMID: 38306521 PMCID: PMC10843421 DOI: 10.1097/md.0000000000036985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 12/22/2023] [Indexed: 02/04/2024] Open
Abstract
The prodromal period of Parkinson's disease (PD) is currently a hot topic in PD research. However, no bibliometric analysis has been conducted in this research field. This study aimed to provide a comprehensive overview of the status, hotspots, and trends in the prodromal period of PD using bibliometrics. CiteSpace and visualization of similarities viewer were used to analyze articles and reviews on the prodromal period of PD in the Web of Science Core Collection (WoSCC) database. We analyzed the data on countries, institutions, journals, authors, keywords, and cited references. In total, 909 articles from 65 countries, including the United States (n = 265, 29.15%) and Germany (n = 174, 19.14%), were included. The number of articles and reviews related to the prodromal period of PD has increased yearly. The University of Tubingen (n = 45, 4.95%), McGill University (n = 33, 3.63%), and University of London (n = 33, 3.63%) were the research institutions with the most published studies. Movement Disorders is the journal with the largest number of published papers (n = 98, 10.8%) and the most cited publications (co-citation = 7035). These publications are from 4681 authors, with Berg (n = 49, 5.39%) and Postuma (n = 40, 4.40%) publishing the most publications, and Postuma's study (n = 1206) having the most citations. Studying the nonmotor symptoms of PD precursors is a major topic in this research field. This is the first bibliometric study to comprehensively summarize the research trends and developments in the prodromal period of PD. This information identifies recent research frontiers and hotspots and provides a reference for scholars studying the prodromal period of PD.
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Affiliation(s)
- Shun Wang
- Department of Acupuncture and Moxibustion, The First Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin, China
| | - Ning An
- Second Clinical Medical College, Heilongjiang University of Traditional Chinese Medicine, Heilongjiang, China
| | - Yulin Wang
- Department of Science and Technology, Heilongjiang University of Traditional Chinese Medicine, Heilongjiang, China
| | - Yuan Li
- Department of Acupuncture and Moxibustion, The First Affiliated Hospital of Harbin Medical University, Heilongjiang, China
| | - Hailong Li
- Department of Acupuncture and Moxibustion, Heilongjiang Academy of Traditional Chinese Medicine, Heilongjiang, China
| | - Yan Bai
- Department of Acupuncture and Moxibustion, Heilongjiang Academy of Traditional Chinese Medicine, Institute of Acupuncture and Moxibustion, Heilongjiang, China
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78
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Kim S, Choi JH, Woo KA, Joo JY, Jeon B, Lee JY. Clinical correlates of pareidolias and color discrimination deficits in idiopathic REM sleep behavior disorder and Parkinson's disease. J Neural Transm (Vienna) 2024; 131:141-148. [PMID: 38110521 DOI: 10.1007/s00702-023-02724-4] [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: 09/07/2023] [Accepted: 11/26/2023] [Indexed: 12/20/2023]
Abstract
Visuoperceptual dysfunction is common in Parkinson's disease (PD) and is also reported in its prodromal phase, isolated REM sleep behavior disorder (iRBD). We aimed to investigate color discrimination ability and complex visual illusions known as pareidolias in patients with iRBD and PD compared to healthy controls, and their associating clinical factors. 46 iRBD, 43 PD, and 64 healthy controls performed the Farnsworth-Munsell 100 hue test and noise pareidolia tests. Any relationship between those two visual functions and associations with prodromal motor and non-motor manifestations were evaluated, including MDS-UPDRS part I to III, Cross-Cultural Smell Identification Test, sleep questionnaires, and comprehensive neuropsychological assessment. iRBD and PD patients both performed worse on the Farnsworth-Munsell 100 hue test and had greater number of pareidolias compared to healthy controls. No correlations were found between the extent of impaired color discrimination and pareidolia scores in either group. In iRBD patients, pareidolias were associated with frontal executive dysfunction, while impaired color discrimination was associated with visuospatial dysfunction, hyposmia, and higher MDS-UPDRS-III scores. Pareidolias in PD patients correlated with worse global cognition, whereas color discrimination deficits were associated with frontal executive dysfunction. Color discrimination deficits and pareidolias are frequent but does not correlate with each other from prodromal to clinically established stage of PD. The different pattern of clinical associates with the two visual symptoms suggests that evaluation of both color and pareidolias may aid in revealing the course of neurodegeneration in iRBD and PD patients.
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Affiliation(s)
- Seoyeon Kim
- Department of Neurology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Ji-Hyun Choi
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea
| | - Kyung Ah Woo
- Department of Neurology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jae Young Joo
- Department of Neurology, Uijeongbu Eulji Medical Center, Uijeongbu, Republic of Korea
| | - Beomseok Jeon
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jee-Young Lee
- Department of Neurology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea.
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79
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Milane T, Hansen C, Correno MB, Chardon M, Barbieri FA, Bianchini E, Vuillerme N. Comparison of sleep characteristics between Parkinson's disease with and without freezing of gait: A systematic review. Sleep Med 2024; 114:24-41. [PMID: 38150950 DOI: 10.1016/j.sleep.2023.11.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 08/03/2023] [Accepted: 11/15/2023] [Indexed: 12/29/2023]
Abstract
Parkinson's disease (PD) is a neurodegenerative disorder characterized by a range of motor and non-motor symptoms. Among the motor complaints, freezing of gait (FOG) is a common and disabling phenomenon that episodically hinders patients' ability to produce efficient steps. Concurrently, sleep disorders are prevalent in PD and significantly impact the quality of life of affected individuals. Numerous studies have suggested a bidirectional relationship between FOG and sleep disorders. Therefore, our objective was to systematically review the literature and compare sleep outcomes in PD patients with FOG (PD + FOG) and those without FOG (PD-FOG). By conducting a comprehensive search of the PubMed and Web of Science databases, we identified 20 eligible studies for inclusion in our analysis. Our review revealed that compared to PD-FOG, PD + FOG patients exhibited more severe symptoms of rapid eye movement sleep behavior disorder in nine studies, increased daytime sleepiness in eight studies, decreased sleep quality in four studies, and more frequent and severe sleep disturbances in four studies. These findings indicate that PD + FOG patients generally experience worse sleep quality, higher levels of daytime sleepiness, and more disruptive sleep disturbances compared to those without FOG (PD-FOG). The association between sleep disturbances and FOG highlights the importance of evaluating and monitoring these symptoms in PD patients and open the possibility for future studies to assess the impact of managing sleep disturbances on the severity and occurrence of FOG, and vice versa.
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Affiliation(s)
- Tracy Milane
- AGEIS, Université Grenoble Alpes, 38000, Grenoble, France; Department of Neurology, UKSH Campus Kiel, Kiel University, Arnold-Heller-Str. 3, Haus D, 24105, Kiel, Germany
| | - Clint Hansen
- AGEIS, Université Grenoble Alpes, 38000, Grenoble, France; Department of Neurology, UKSH Campus Kiel, Kiel University, Arnold-Heller-Str. 3, Haus D, 24105, Kiel, Germany.
| | - Mathias Baptiste Correno
- AGEIS, Université Grenoble Alpes, 38000, Grenoble, France; Department of Neurology, UKSH Campus Kiel, Kiel University, Arnold-Heller-Str. 3, Haus D, 24105, Kiel, Germany
| | - Matthias Chardon
- AGEIS, Université Grenoble Alpes, 38000, Grenoble, France; São Paulo State University (Unesp), School of Sciences, Department of Physical Education, Human Movement Research Laboratory (MOVI-LAB), Bauru, Brazil
| | - Fabio A Barbieri
- São Paulo State University (Unesp), School of Sciences, Department of Physical Education, Human Movement Research Laboratory (MOVI-LAB), Bauru, Brazil
| | - Edoardo Bianchini
- AGEIS, Université Grenoble Alpes, 38000, Grenoble, France; Department of Neuroscience, Mental Health and Sensory Organs (NESMOS), Sapienza University of Rome, 00189, Rome, Italy
| | - Nicolas Vuillerme
- AGEIS, Université Grenoble Alpes, 38000, Grenoble, France; LabCom Telecom4Health, Orange Labs & Université Grenoble Alpes, CNRS, Inria, Grenoble INP-UGA, 38000, Grenoble, France; Institut Universitaire de France, 75005, Paris, France.
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80
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Park M, Lee YG. Association of Family History and Polygenic Risk Score With Longitudinal Prognosis in Parkinson Disease. Neurol Genet 2024; 10:e200115. [PMID: 38169864 PMCID: PMC10759146 DOI: 10.1212/nxg.0000000000200115] [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: 07/14/2023] [Accepted: 10/02/2023] [Indexed: 01/05/2024]
Abstract
Background and Objectives Evidence suggests that either family history or polygenic risk score (PRS) is associated with developing Parkinson disease (PD). However, little is known about the longitudinal prognosis of PD according to family history and higher PRS. Methods From the Parkinson's Progression Markers Initiative database, 395 patients with PD who followed up for more than 2 years were grouped into those with family history within first-degree, second-degree, and third-degree relatives (N = 127 [32.2%]) vs those without (N = 268 [67.8%]). The PRS of 386 patients was computed using whole-genome sequencing data. Longitudinal assessment of motor, cognition, and imaging based on dopaminergic degeneration was conducted during the regular follow-up period. Effects of family history, PRS, or both on longitudinal changes of cognition, motor severity, and nigrostriatal degeneration were tested using a linear mixed model. The risk of freezing of gait (FOG) according to family history was assessed using the Kaplan-Meier analysis and Cox regression models. Results During a median follow-up of 9.1 years, PD with positive family history showed a slower decline of caudate dopamine transporter uptake (β estimate of family history × time = 0.02, 95% CI = 0.002-0.036, p = 0.027). Family history of PD and higher PRS were independently associated with a slower decline of Montreal Cognitive Assessment (β estimate of family history × time = 0.12, 95% CI = 0.02-0.22, p = 0.017; β estimate of PRS × time = 0.09, 95% CI = 0.03-0.16, p = 0.006). In those 364 patients without FOG at baseline, PD with positive family history had a lower risk of FOG (hazard ratio of family history = 0.57, 95% CI = 0.38-0.84, p = 0.005). Discussion Having a family history of PD predicts slower progression of cognitive decline and caudate dopaminergic degeneration, and less FOG compared with those without a family history independent of PRS. Taken together, information on family history could be used as a proxy for the clinical heterogeneity of PD. Trial Registration Information The study was registered at clinicaltrials.gov (NCT01141023), and the enrollment began June 1, 2010.
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Affiliation(s)
- Mincheol Park
- From the Department of Neurology (M.P.), Gwangmyeong Hospital, Chung-Ang University College of Medicine; and Department of Neurology (Y.L.), Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea
| | - Young-Gun Lee
- From the Department of Neurology (M.P.), Gwangmyeong Hospital, Chung-Ang University College of Medicine; and Department of Neurology (Y.L.), Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea
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81
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Höglinger GU, Adler CH, Berg D, Klein C, Outeiro TF, Poewe W, Postuma R, Stoessl AJ, Lang AE. A biological classification of Parkinson's disease: the SynNeurGe research diagnostic criteria. Lancet Neurol 2024; 23:191-204. [PMID: 38267191 DOI: 10.1016/s1474-4422(23)00404-0] [Citation(s) in RCA: 54] [Impact Index Per Article: 54.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 09/08/2023] [Accepted: 10/06/2023] [Indexed: 01/26/2024]
Abstract
With the hope that disease-modifying treatments could target the molecular basis of Parkinson's disease, even before the onset of symptoms, we propose a biologically based classification. Our classification acknowledges the complexity and heterogeneity of the disease by use of a three-component system (SynNeurGe): presence or absence of pathological α-synuclein (S) in tissues or CSF; evidence of underlying neurodegeneration (N) defined by neuroimaging procedures; and documentation of pathogenic gene variants (G) that cause or strongly predispose to Parkinson's disease. These three components are linked to a clinical component (C), defined either by a single high-specificity clinical feature or by multiple lower-specificity clinical features. The use of a biological classification will enable advances in both basic and clinical research, and move the field closer to the precision medicine required to develop disease-modifying therapies. We emphasise the initial application of these criteria exclusively for research. We acknowledge its ethical implications, its limitations, and the need for prospective validation in future studies.
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Affiliation(s)
- Günter U Höglinger
- Department of Neurology, University Hospital, Ludwig-Maximilians-University (LMU) and German Center for Neurodegenerative Diseases, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Charles H Adler
- Department of Neurology, Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Daniela Berg
- Christian Albrechts University and University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Christine Klein
- Institute of Neurogenetics, University of Lübeck and University Hospital Schleswig-Holstein, Campus Lübeck, Lüebeck, Germany
| | - Tiago F Outeiro
- Department of Experimental Neurodegeneration, Center for Biostructural Imaging of Neurodegeneration, University Medical Center Göttingen, Göttingen, Germany; Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Werner Poewe
- Medical University Innsbruck, Innsbruck, Austria
| | - Ronald Postuma
- Department of Neurology, McGill University, Montreal Neurological Institute, Montreal, QC, Canada
| | - A Jon Stoessl
- Pacific Parkinson's Research Centre and Parkinson's Foundation Centre of Excellence, University of British Columbia, BC, Canada
| | - Anthony E Lang
- University Health Network's Krembil Brain Institute, Edmond J Safra Program in Parkinson's Disease and the Rossy PSP Centre, Toronto Western Hospital, Toronto, ON, Canada.
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82
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Simuni T, Chahine LM, Poston K, Brumm M, Buracchio T, Campbell M, Chowdhury S, Coffey C, Concha-Marambio L, Dam T, DiBiaso P, Foroud T, Frasier M, Gochanour C, Jennings D, Kieburtz K, Kopil CM, Merchant K, Mollenhauer B, Montine T, Nudelman K, Pagano G, Seibyl J, Sherer T, Singleton A, Stephenson D, Stern M, Soto C, Tanner CM, Tolosa E, Weintraub D, Xiao Y, Siderowf A, Dunn B, Marek K. A biological definition of neuronal α-synuclein disease: towards an integrated staging system for research. Lancet Neurol 2024; 23:178-190. [PMID: 38267190 DOI: 10.1016/s1474-4422(23)00405-2] [Citation(s) in RCA: 57] [Impact Index Per Article: 57.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 09/27/2023] [Accepted: 10/06/2023] [Indexed: 01/26/2024]
Abstract
Parkinson's disease and dementia with Lewy bodies are currently defined by their clinical features, with α-synuclein pathology as the gold standard to establish the definitive diagnosis. We propose that, given biomarker advances enabling accurate detection of pathological α-synuclein (ie, misfolded and aggregated) in CSF using the seed amplification assay, it is time to redefine Parkinson's disease and dementia with Lewy bodies as neuronal α-synuclein disease rather than as clinical syndromes. This major shift from a clinical to a biological definition of Parkinson's disease and dementia with Lewy bodies takes advantage of the availability of tools to assess the gold standard for diagnosis of neuronal α-synuclein (n-αsyn) in human beings during life. Neuronal α-synuclein disease is defined by the presence of pathological n-αsyn species detected in vivo (S; the first biological anchor) regardless of the presence of any specific clinical syndrome. On the basis of this definition, we propose that individuals with pathological n-αsyn aggregates are at risk for dopaminergic neuronal dysfunction (D; the second biological anchor). Our biological definition establishes a staging system, the neuronal α-synuclein disease integrated staging system (NSD-ISS), rooted in the biological anchors (S and D) and the degree of functional impairment caused by clinical signs or symptoms. Stages 0-1 occur without signs or symptoms and are defined by the presence of pathogenic variants in the SNCA gene (stage 0), S alone (stage 1A), or S and D (stage 1B). The presence of clinical manifestations marks the transition to stage 2 and beyond. Stage 2 is characterised by subtle signs or symptoms but without functional impairment. Stages 2B-6 require both S and D and stage-specific increases in functional impairment. A biological definition of neuronal α-synuclein disease and an NSD-ISS research framework are essential to enable interventional trials at early disease stages. The NSD-ISS will evolve to include the incorporation of data-driven definitions of stage-specific functional anchors and additional biomarkers as they emerge and are validated. Presently, the NSD-ISS is intended for research use only; its application in the clinical setting is premature and inappropriate.
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Affiliation(s)
- Tanya Simuni
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
| | - Lana M Chahine
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kathleen Poston
- Department of Neurology, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Michael Brumm
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Teresa Buracchio
- Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Michelle Campbell
- Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Sohini Chowdhury
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Christopher Coffey
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | | | | | - Peter DiBiaso
- Patient Advisory Council, New York, NY, USA; Clinical Solutions and Strategic Partnerships, WCG Clinical, Princeton, NJ, USA
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, IN, USA
| | - Mark Frasier
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Caroline Gochanour
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | | | - Karl Kieburtz
- Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA
| | - Catherine M Kopil
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Kalpana Merchant
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Brit Mollenhauer
- Department of Neurology, University Medical Center Göttingen and Paracelsus-Elena-Klinik, Kassel, Germany
| | - Thomas Montine
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Kelly Nudelman
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, IN, USA
| | | | - John Seibyl
- Institute for Neurodegenerative Disorders, New Haven, CT, USA
| | - Todd Sherer
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Andrew Singleton
- National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Diane Stephenson
- Critical Path for Parkinson's, Critical Path Institute, Tucson, AZ, USA
| | - Matthew Stern
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Claudio Soto
- Amprion, San Diego, CA, USA; Mitchell Center for Alzheimer's Disease and Related Brain Disorders, Department of Neurology, University of Texas McGovern Medical School at Houston, Houston, TX, USA
| | - Caroline M Tanner
- Movement Disorders and Neuromodulation Center, Department of Neurology, Weill Institute for Neuroscience, University of California, San Francisco, CA, USA; Parkinson's Disease Research Education and Clinical Center, San Francisco Veterans Affairs Health Care System, San Francisco, CA, USA
| | - Eduardo Tolosa
- Parkinson's Disease and Movement Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas, Hospital Clínic, IDIBAPS, Universitat de Barcelona, Barcelona, Spain
| | - Daniel Weintraub
- University of Pennsylvania and the Parkinson's Disease and Mental Illness Research, Education and Clinical Centers, Philadelphia Veterans Affairs Medical Center Philadelphia, PA, USA
| | - Yuge Xiao
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Andrew Siderowf
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Billy Dunn
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Kenneth Marek
- Institute for Neurodegenerative Disorders, New Haven, CT, USA
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Casciano F, Zauli E, Celeghini C, Caruso L, Gonelli A, Zauli G, Pignatelli A. Retinal Alterations Predict Early Prodromal Signs of Neurodegenerative Disease. Int J Mol Sci 2024; 25:1689. [PMID: 38338966 PMCID: PMC10855697 DOI: 10.3390/ijms25031689] [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: 12/21/2023] [Revised: 01/25/2024] [Accepted: 01/27/2024] [Indexed: 02/12/2024] Open
Abstract
Neurodegenerative diseases are an increasingly common group of diseases that occur late in life with a significant impact on personal, family, and economic life. Among these, Alzheimer's disease (AD) and Parkinson's disease (PD) are the major disorders that lead to mild to severe cognitive and physical impairment and dementia. Interestingly, those diseases may show onset of prodromal symptoms early after middle age. Commonly, the evaluation of these neurodegenerative diseases is based on the detection of biomarkers, where functional and structural magnetic resonance imaging (MRI) have shown a central role in revealing early or prodromal phases, although it can be expensive, time-consuming, and not always available. The aforementioned diseases have a common impact on the visual system due to the pathophysiological mechanisms shared between the eye and the brain. In Parkinson's disease, α-synuclein deposition in the retinal cells, as well as in dopaminergic neurons of the substantia nigra, alters the visual cortex and retinal function, resulting in modifications to the visual field. Similarly, the visual cortex is modified by the neurofibrillary tangles and neuritic amyloid β plaques typically seen in the Alzheimer's disease brain, and this may reflect the accumulation of these biomarkers in the retina during the early stages of the disease, as seen in postmortem retinas of AD patients. In this light, the ophthalmic evaluation of retinal neurodegeneration could become a cost-effective method for the early diagnosis of those diseases, overcoming the limitations of functional and structural imaging of the deep brain. This analysis is commonly used in ophthalmic practice, and interest in it has risen in recent years. This review will discuss the relationship between Alzheimer's disease and Parkinson's disease with retinal degeneration, highlighting how retinal analysis may represent a noninvasive and straightforward method for the early diagnosis of these neurodegenerative diseases.
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Affiliation(s)
- Fabio Casciano
- Department of Translational Medicine and LTTA Centre, University of Ferrara, 44121 Ferrara, Italy
| | - Enrico Zauli
- Department of Translational Medicine, University of Ferrara, 44121 Ferrara, Italy
| | - Claudio Celeghini
- Department of Translational Medicine, University of Ferrara, 44121 Ferrara, Italy
| | - Lorenzo Caruso
- Department of Environment and Prevention Sciences, University of Ferrara, 44121 Ferrara, Italy
| | - Arianna Gonelli
- Department of Translational Medicine, University of Ferrara, 44121 Ferrara, Italy
| | - Giorgio Zauli
- Research Department, King Khaled Eye Specialistic Hospital, Riyadh 12329, Saudi Arabia
| | - Angela Pignatelli
- Department of Neuroscience and Rehabilitation, University of Ferrara, 44124 Ferrara, Italy
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Frank A, Bendig J, Schnalke N, Klingelhoefer L, Reichmann H, Akgün K, Ziemssen T, Falkenburger BH. Serum neurofilament indicates accelerated neurodegeneration and predicts mortality in late-stage Parkinson's disease. NPJ Parkinsons Dis 2024; 10:14. [PMID: 38195715 PMCID: PMC10776839 DOI: 10.1038/s41531-023-00605-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Accepted: 11/17/2023] [Indexed: 01/11/2024] Open
Abstract
Different stages of Parkinson's disease (PD) are defined by clinical criteria, while late-stage PD is marked by the onset of morbidity milestones and rapid clinical deterioration. Based on neuropathological evidence, degeneration in the dopaminergic system occurs primarily in the early stage of PD, raising the question of what drives disease progression in late-stage PD. This study aimed to investigate whether late-stage PD is associated with increased neurodegeneration dynamics rather than functional decompensation using the blood-based biomarker serum neurofilament light chain (sNfL) as a proxy for the rate of neurodegeneration. The study included 118 patients with PD in the transition and late-stage (minimum disease duration 5 years, mean (SD) disease duration 15 (±7) years). The presence of clinical milestones (hallucinations, dementia, recurrent falls, and admission to a nursing home) and mortality were determined based on chart review. We found that sNfL was higher in patients who presented with at least one clinical milestone and increased with a higher number of milestones (Spearman's ρ = 0.66, p < 0.001). Above a cutoff value of 26.9 pg/ml, death was 13.6 times more likely during the follow-up period (95% CI: 3.53-52.3, p < 0.001), corresponding to a sensitivity of 85.0% and a specificity of 85.7% (AUC 0.91, 95% CI: 0.85-0.97). Similar values were obtained when using an age-adjusted cutoff percentile of 90% for sNfL. Our findings suggest that the rate of ongoing neurodegeneration is higher in advanced PD (as defined by the presence of morbidity milestones) than in earlier disease stages. A better understanding of the biological basis of stage-dependent neurodegeneration may facilitate the development of neuroprotective means.
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Affiliation(s)
- Anika Frank
- Department of Neurology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
- German Center for Neurodegenerative Diseases (DZNE), Dresden, Germany.
| | - Jonas Bendig
- Department of Neurology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Nils Schnalke
- Department of Neurology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Lisa Klingelhoefer
- Department of Neurology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Heinz Reichmann
- Department of Neurology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Katja Akgün
- Department of Neurology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- Center of Clinical Neuroscience, Department of Neurology, Technische Universität Dresden, Dresden, Germany
| | - Tjalf Ziemssen
- Department of Neurology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- Center of Clinical Neuroscience, Department of Neurology, Technische Universität Dresden, Dresden, Germany
| | - Björn H Falkenburger
- Department of Neurology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- German Center for Neurodegenerative Diseases (DZNE), Dresden, Germany
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85
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Goldstein DS, Holmes C, Sullivan P, Lopez G, Gelsomino J, Moore S, Isonaka R, Wu T, Sharabi Y. Cardiac noradrenergic deficiency revealed by 18F-dopamine positron emission tomography identifies preclinical central Lewy body diseases. J Clin Invest 2024; 134:e172460. [PMID: 37883190 PMCID: PMC10760969 DOI: 10.1172/jci172460] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Accepted: 10/23/2023] [Indexed: 10/27/2023] Open
Abstract
BACKGROUND In Lewy body diseases (LBDs) Parkinson disease (PD), and dementia with Lewy bodies (DLB), by the time parkinsonism or cognitive dysfunction manifests clinically, substantial neurodegeneration has already occurred. Biomarkers are needed to identify central LBDs in a preclinical phase, when neurorescue strategies might forestall symptomatic disease. This phase may involve catecholamine deficiency in the autonomic nervous system. We analyzed data from the prospective, observational, long-term PDRisk study to assess the predictive value of low versus normal cardiac 18F-dopamine positron emission tomography (PET), an index of myocardial content of the sympathetic neurotransmitter norepinephrine, in at-risk individuals. METHODS Participants self-reported risk factor information (genetics, olfactory dysfunction, dream enactment behavior, and orthostatic intolerance or hypotension) at a protocol-specific website. Thirty-four with 3 or more confirmed risk factors underwent serial cardiac 18F-dopamine PET at 1.5-year intervals for up to 7.5 years or until PD was diagnosed. RESULTS Nine participants had low initial myocardial 18F-dopamine-derived radioactivity (<6,000 nCi-kg/cc-mCi) and 25 had normal radioactivity. At 7 years of follow-up, 8 of 9 with low initial radioactivity and 1 of 11 with normal radioactivity were diagnosed with a central LBD (LBD+) (P = 0.0009 by Fisher's exact test). Conversely, all 9 LBD+ participants had low 18F-dopamine-derived radioactivity before or at the time of diagnosis of a central LBD, whereas among 25 participants without a central LBD only 1 (4%) had persistently low radioactivity (P < 0.0001 by Fisher's exact test). CONCLUSION Cardiac 18F-dopamine PET highly efficiently distinguishes at-risk individuals who are diagnosed subsequently with a central LBD from those who are not. TRIAL REGISTRATION CLINICALTRIALS gov NCT00775853. FUNDING Division of Intramural Research, NIH, NINDS.
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Affiliation(s)
- David S. Goldstein
- Autonomic Medicine Section, Clinical Neurosciences Program, Division of Intramural Research (DIR), National Institute of Neurological Disorders and Stroke (NINDS)
| | - Courtney Holmes
- Autonomic Medicine Section, Clinical Neurosciences Program, Division of Intramural Research (DIR), National Institute of Neurological Disorders and Stroke (NINDS)
| | - Patti Sullivan
- Autonomic Medicine Section, Clinical Neurosciences Program, Division of Intramural Research (DIR), National Institute of Neurological Disorders and Stroke (NINDS)
| | - Grisel Lopez
- Molecular Neurogenetics Section, National Human Genome Research Institute, and
| | - Janna Gelsomino
- Autonomic Medicine Section, Clinical Neurosciences Program, Division of Intramural Research (DIR), National Institute of Neurological Disorders and Stroke (NINDS)
| | - Sarah Moore
- Autonomic Medicine Section, Clinical Neurosciences Program, Division of Intramural Research (DIR), National Institute of Neurological Disorders and Stroke (NINDS)
| | - Risa Isonaka
- Autonomic Medicine Section, Clinical Neurosciences Program, Division of Intramural Research (DIR), National Institute of Neurological Disorders and Stroke (NINDS)
| | - Tianxia Wu
- Clinical Trials Unit, Office of the Clinical Director, DIR, NINDS, NIH, Bethesda, Maryland, USA
| | - Yehonatan Sharabi
- Chaim Sheba Medical Center, Tel-Aviv University, Tel-Hashomer, Israel
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86
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Pauly L, Rauschenberger A, Pauly C, Schröder VE, Van Cutsem G, Leist AK, Krüger R. Cognition and Other Non-Motor Symptoms in an At-Risk Cohort for Parkinson's Disease Defined by REM-Sleep Behavior Disorder and Hyposmia. JOURNAL OF PARKINSON'S DISEASE 2024; 14:545-556. [PMID: 38669560 PMCID: PMC11091555 DOI: 10.3233/jpd-230285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 03/18/2024] [Indexed: 04/28/2024]
Abstract
Background REM-sleep behavior disorder (RBD) and other non-motor symptoms such as hyposmia were proposed by the Movement Disorder Society as research criteria for prodromal Parkinson's disease (P-PD). Global cognitive deficit was later added. Objective To compare non-motor symptoms, focusing on cognition, between a P-PD group and a matched control group. Methods In this cross-sectional, case-control study, in a first set of analyses, we performed extensive cognitive testing on people with (n = 76) and a control group without (n = 195) probable RBD and hyposmia. Furthermore, we assessed motor and non-motor symptoms related to Parkinson's Disease (PD). After propensity score matching, we compared 62 P-PD with 62 age- and sex-matched controls. In addition, we performed regression analyses on the total sample (n = 271). In a second set of analyses, we used, a.o., the CUPRO to evaluate retrograde procedural memory and visuo-constructive functions. Results People with P-PD showed significantly poorer performances in global cognition, visuo-constructive and executive functions, mainly in mental flexibility (p < 0.001; p = 0.004; p = 0.003), despite similar educational levels (p = 0.415). We observed significantly more motor and non-motor symptoms (p < 0.001; p = 0.004), higher scores for depression (p = 0.004) and apathy (p < 0.001) as well as lower quality of life (p < 0.001) in P-PD. CONCLUSIONS Our findings confirm that global cognitive, executive, and visuo-constructive deficits define the P-PD group. In addition, depression, apathy, and lower quality of life were more prevalent in P-PD. If replicated in other samples, executive and visuo-constructive deficits should be considered in non-motor P-PD. Determining specific patterns will support early recognition of PD, secondary prevention of complications and the development of neuroprotective treatments.
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Affiliation(s)
- Laure Pauly
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
- Faculty of Science, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Parkinson Research Clinic, Luxembourg, Centre Hospitalier de Luxembourg (CHL), Luxembourg, Luxembourg
| | - Armin Rauschenberger
- Competence Centre for Methodology and Statistics, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
- Biomedical Data Science, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Claire Pauly
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Parkinson Research Clinic, Luxembourg, Centre Hospitalier de Luxembourg (CHL), Luxembourg, Luxembourg
| | - Valerie E. Schröder
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Parkinson Research Clinic, Luxembourg, Centre Hospitalier de Luxembourg (CHL), Luxembourg, Luxembourg
| | - Gilles Van Cutsem
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Parkinson Research Clinic, Luxembourg, Centre Hospitalier de Luxembourg (CHL), Luxembourg, Luxembourg
| | - Anja K. Leist
- Department of Social Sciences, Institute for Research on Socio-Economic Inequality, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Rejko Krüger
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Parkinson Research Clinic, Luxembourg, Centre Hospitalier de Luxembourg (CHL), Luxembourg, Luxembourg
| | - on behalf of the NCER-PD Consortium
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
- Faculty of Science, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Parkinson Research Clinic, Luxembourg, Centre Hospitalier de Luxembourg (CHL), Luxembourg, Luxembourg
- Competence Centre for Methodology and Statistics, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
- Biomedical Data Science, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Department of Social Sciences, Institute for Research on Socio-Economic Inequality, University of Luxembourg, Esch-sur-Alzette, Luxembourg
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van Wegen EEH, van Balkom TD, Hirsch MA, Rutten S, van den Heuvel OA. Non-Pharmacological Interventions for Depression and Anxiety in Parkinson's Disease. JOURNAL OF PARKINSON'S DISEASE 2024; 14:S135-S146. [PMID: 38607762 DOI: 10.3233/jpd-230228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/14/2024]
Abstract
Non-pharmacological interventions, including cognitive-behavioral therapy (CBT), non-invasive brain stimulation (NIBS), electroconvulsive therapy (ECT), light therapy (LT), and physical rehabilitation/exercise, have shown promise as effective approaches to treat symptoms of depression and anxiety in individuals with Parkinson's disease (PD). In this narrative literature overview, we discuss the state-of-the-art regarding these treatment options and address future perspectives for clinical practice and research. Non-pharmacological interventions hold promise to treat depression and anxiety in PD. There is meta-analytic evidence for the efficacy of CBT, NIBS, ECT, LT, and exercise on improving depressive symptoms. For the treatment of anxiety symptoms, CBT shows large effects but scientific evidence of other non-pharmacological interventions is limited. Importantly, these treatments are safe interventions with no or mild side-effects. More research is needed to tailor treatment to the individuals' needs and combined interventions may provide synergistic effects.We conclude that non-pharmacological interventions should be considered as alternative or augmentative treatments to pharmacological and neurosurgical approaches for the treatment of depression and anxiety in individuals with PD.
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Affiliation(s)
- Erwin E H van Wegen
- Department of Rehabilitation Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Movement Sciences, Rehabilitation & Development, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Movement Sciences, Ageing & Vitality, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- i
| | - Tim D van Balkom
- Department of Anatomy & Neurosciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Compulsivity, Impulsivity & Attention, Neurodegeneration, Amsterdam, The Netherlands
| | - Mark A Hirsch
- Department of Physical Medicine and Rehabilitation, Carolinas Medical Center, Atrium Health Carolinas Rehabilitation, Charlotte, NC, USA
- Department of Orthopedic Surgery and Rehabilitation, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Sonja Rutten
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Compulsivity, Impulsivity & Attention, Neurodegeneration, Amsterdam, The Netherlands
| | - Odile A van den Heuvel
- Department of Anatomy & Neurosciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Compulsivity, Impulsivity & Attention, Neurodegeneration, Amsterdam, The Netherlands
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88
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Yusuf FLA, Zhu F, Evans C, Fisk JD, Zhao Y, Marrie RA, Tremlett H. Gastrointestinal conditions in the multiple sclerosis prodrome. Ann Clin Transl Neurol 2024; 11:185-193. [PMID: 38115680 PMCID: PMC10791028 DOI: 10.1002/acn3.51945] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Revised: 10/26/2023] [Accepted: 10/28/2023] [Indexed: 12/21/2023] Open
Abstract
OBJECTIVE To investigate gastrointestinal (GI)-related physician visits and drug dispensations in the 5 years preceding a first recorded demyelinating event or multiple sclerosis (MS) onset. METHODS Using linked administrative and clinical data from British Columbia (1996-2013), Canada, we identified an administrative cohort via a validated algorithm (n = 6863), a clinical cohort diagnosed at a MS clinic (n = 966), and matched controls (administrative cohort: n = 31,865; clinical cohort: n = 4534). In each cohort, the 5 years before a first demyelinating event or MS symptom onset (i.e., index date) were examined. We compared rates of GI-related physician visits and risk of ≥1 GI-related dispensation between MS cases and controls using negative binomial and robust Poisson models. Sex differences were tested using interaction terms. RESULTS The administrative cohort MS cases had higher rates of physician visits related to gastritis and duodenitis (adjusted rate/risk ratio (aRR):1.42, 95% CI: 1.10-1.83) and diseases of the esophagus (aRR: 1.46, 95% CI: 1.06-2.02) prior to the index date. MS cases also had greater risk of at least one dispensation for several drug classes, including constipation-related (aRR: 1.82, 95% CI: 1.50-2.22), antiemetics/antinauseants (aRR: 1.64, 95% CI: 1.43-1.89), and propulsives (promotility drugs; aRR: 1.62, 95% CI: 1.47-1.79). Men had a disproportionally higher relative risk for propulsives than women (aRR: men = 2.32, 95% CI: 1.79-3.00; women = 1.54, 95% CI: 1.36-1.72). Several findings were similar in the smaller clinical cohort though none reached statistical significance. INTERPRETATION GI-related physician visits and drug dispensations were more common in the 5 years before the first demyelinating event versus matched controls. GI symptoms are a measurable feature of the prodromal or early phase of MS, with a sex difference evident.
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Affiliation(s)
- Fardowsa L. A. Yusuf
- Medicine (Neurology), the Djavad Mowafaghian Centre for Brain HealthUniversity of British Columbia2211 Wesbrook MallVancouverBritish ColumbiaV6T 2B5Canada
- School of Population and Public Health, University of British Columbia2206 East MallVancouverBritish ColumbiaV6T 1Z3Canada
| | - Feng Zhu
- Medicine (Neurology), the Djavad Mowafaghian Centre for Brain HealthUniversity of British Columbia2211 Wesbrook MallVancouverBritish ColumbiaV6T 2B5Canada
| | - Charity Evans
- College of Pharmacy and Nutrition, University of Saskatchewan2A20.4 Health Sciences Bldg, 107 Wiggins AveSaskatoonSaskatchewanS7N 5E5Canada
| | - John D. Fisk
- Nova Scotia Health and the Departments of Psychiatry, Psychology & Neuroscience, and MedicineDalhousie University4066 A.J. Lane Memorial Building, 5909 Veterans' Memorial LaneHalifaxNova ScotiaB3H 2E2Canada
| | - Yinshan Zhao
- Medicine (Neurology), the Djavad Mowafaghian Centre for Brain HealthUniversity of British Columbia2211 Wesbrook MallVancouverBritish ColumbiaV6T 2B5Canada
| | - Ruth A. Marrie
- Departments of Internal Medicine and Community Health Sciences, Rady Faculty of Health Sciences, Health Sciences CentreMax Rady College of Medicine, University of ManitobaGF543, 820 Sherbrook StreetWinnipegManitobaR3A 1R9Canada
| | - Helen Tremlett
- Medicine (Neurology), the Djavad Mowafaghian Centre for Brain HealthUniversity of British Columbia2211 Wesbrook MallVancouverBritish ColumbiaV6T 2B5Canada
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Citro S, Lazzaro GD, Cimmino AT, Giuffrè GM, Marra C, Calabresi P. A multiple hits hypothesis for memory dysfunction in Parkinson disease. Nat Rev Neurol 2024; 20:50-61. [PMID: 38052985 DOI: 10.1038/s41582-023-00905-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/09/2023] [Indexed: 12/07/2023]
Abstract
Cognitive disorders are increasingly recognized in Parkinson disease (PD), even in early disease stages, and memory is one of the most affected cognitive domains. Classically, hippocampal cholinergic system dysfunction was associated with memory disorders, whereas nigrostriatal dopaminergic system impairment was considered responsible for executive deficits. Evidence from PD studies now supports involvement of the amygdala, which modulates emotional attribution to experiences. Here, we propose a tripartite model including the hippocampus, striatum and amygdala as key structures for cognitive disorders in PD. First, the anatomo-functional relationships of these structures are explored and experimental evidence supporting their role in cognitive dysfunction in PD is summarized. We then discuss the potential role of α-synuclein, a pathological hallmark of PD, in the tripartite memory system as a key mechanism in the pathogenesis of memory disorders in the disease.
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Affiliation(s)
- Salvatore Citro
- Neurology Section, Department of Neuroscience, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Giulia Di Lazzaro
- Neurology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Angelo Tiziano Cimmino
- Neurology Section, Department of Neuroscience, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Guido Maria Giuffrè
- Neurology Section, Department of Neuroscience, Università Cattolica del Sacro Cuore, Rome, Italy
- Neurology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Camillo Marra
- Neurology Section, Department of Neuroscience, Università Cattolica del Sacro Cuore, Rome, Italy
- Neurology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Paolo Calabresi
- Neurology Section, Department of Neuroscience, Università Cattolica del Sacro Cuore, Rome, Italy.
- Neurology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
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90
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Hossain MA, Amenta F. Machine Learning-Based Classification of Parkinson's Disease Patients Using Speech Biomarkers. JOURNAL OF PARKINSON'S DISEASE 2024; 14:95-109. [PMID: 38160364 PMCID: PMC10836572 DOI: 10.3233/jpd-230002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 11/09/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND Parkinson's disease (PD) is the most prevalent neurodegenerative movement disorder and a growing health concern in demographically aging societies. The prevalence of PD among individuals over the age of 60 and 80 years has been reported to range between 1% and 4%. A timely diagnosis of PD is desirable, even though it poses challenges to medical systems. OBJECTIVE This study aimed to classify PD and healthy controls based on the analysis of voice records at different frequencies using machine learning (ML) algorithms. METHODS The voices of 252 individuals aged 33 to 87 years were recorded. Based on the voice record data, ML algorithms can distinguish PD patients and healthy controls. One binary decision variable was associated with 756 instances and 754 attributes. Voice records data were analyzed through supervised ML algorithms and pipelines. A 10-fold cross-validation method was used to validate models. RESULTS In the classification of PD patients, ML models were performed with 84.21 accuracy, 93 precision, 89 Sensitivity, 89 F1-scores, and 87 AUC. The pipeline performance improved to accuracy: 85.09, precision: 92, Sensitivity:91, F1-score: 89, and AUC: 90. The Pipeline methods improved the performance of classifying PD from voice record. CONCLUSIONS Our study demonstrated that ML classifiers and pipelines can classify PD patients based on speech biomarkers. It was found that pipelines were more effective at selecting the most relevant features from high-dimensional data and at accurately classifying PD patients and healthy controls. This approach can therefore be used for early diagnosis of initial forms of PD.
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Affiliation(s)
- Mohammad Amran Hossain
- Telemedicine and Telepharmacy Centre, School of Medicinal and Health Products Sciences, University of Camerino, Camerino, Italy
| | - Francesco Amenta
- Telemedicine and Telepharmacy Centre, School of Medicinal and Health Products Sciences, University of Camerino, Camerino, Italy
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91
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Savoie FA, Arpin DJ, Vaillancourt DE. Magnetic Resonance Imaging and Nuclear Imaging of Parkinsonian Disorders: Where do we go from here? Curr Neuropharmacol 2024; 22:1583-1605. [PMID: 37533246 DOI: 10.2174/1570159x21666230801140648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 01/11/2023] [Accepted: 01/13/2023] [Indexed: 08/04/2023] Open
Abstract
Parkinsonian disorders are a heterogeneous group of incurable neurodegenerative diseases that significantly reduce quality of life and constitute a substantial economic burden. Nuclear imaging (NI) and magnetic resonance imaging (MRI) have played and continue to play a key role in research aimed at understanding and monitoring these disorders. MRI is cheaper, more accessible, nonirradiating, and better at measuring biological structures and hemodynamics than NI. NI, on the other hand, can track molecular processes, which may be crucial for the development of efficient diseasemodifying therapies. Given the strengths and weaknesses of NI and MRI, how can they best be applied to Parkinsonism research going forward? This review aims to examine the effectiveness of NI and MRI in three areas of Parkinsonism research (differential diagnosis, prodromal disease identification, and disease monitoring) to highlight where they can be most impactful. Based on the available literature, MRI can assist with differential diagnosis, prodromal disease identification, and disease monitoring as well as NI. However, more work is needed, to confirm the value of MRI for monitoring prodromal disease and predicting phenoconversion. Although NI can complement or be a substitute for MRI in all the areas covered in this review, we believe that its most meaningful impact will emerge once reliable Parkinsonian proteinopathy tracers become available. Future work in tracer development and high-field imaging will continue to influence the landscape for NI and MRI.
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Affiliation(s)
- Félix-Antoine Savoie
- Department of Applied Physiology and Kinesiology, Laboratory for Rehabilitation Neuroscience, University of Florida, Gainesville, FL, USA
| | - David J Arpin
- Department of Applied Physiology and Kinesiology, Laboratory for Rehabilitation Neuroscience, University of Florida, Gainesville, FL, USA
| | - David E Vaillancourt
- Department of Applied Physiology and Kinesiology, Laboratory for Rehabilitation Neuroscience, University of Florida, Gainesville, FL, USA
- Department of Neurology, Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA
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Palma JA, Thijs RD. Non-Pharmacological Treatment of Autonomic Dysfunction in Parkinson's Disease and Other Synucleinopathies. JOURNAL OF PARKINSON'S DISEASE 2024; 14:S81-S92. [PMID: 37694308 DOI: 10.3233/jpd-230173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Symptoms of autonomic dysfunction are prevalent and can be very debilitating, reducing the quality of life in patients with Parkinson's disease (PD) and other synucleinopathies such as dementia with Lewy bodies and multiple system atrophy. Non-pharmacological therapies are key to effective management and are frequently used alone in patients with mild autonomic symptoms, or in combination with pharmacological therapies in patients with moderate and severe symptoms. This article focuses on non-pharmacological approaches. Our objective was to review the non-drug and non-surgical approaches to treating autonomic symptoms in patients with PD and other synucleinopathies, focusing on cardiovascular, gastrointestinal, and genitourinary autonomic dysfunction. Evidence supporting the effectiveness of non-pharmacological treatment for the management of neurogenic orthostatic hypotension, supine hypertension, constipation, and bladder and sexual dysfunction is available. High-quality prospective trials are scarce, yet some non-pharmacological interventions (e.g., physical counter maneuvers) can be evaluated relatively quickly on an individual basis and often seem effective. The emerging variety of clinical presentations advocates for a stepwise, individualized, and non-pharmacological approach for the management of autonomic symptoms. Often, the first step is to reduce or discontinue drugs that cause or aggravate autonomic symptoms followed by lifestyle measures. While non-pharmacological and non-surgical treatments are available and, in many cases, effective to improve symptoms of autonomic dysfunction in PD and other synucleinopathies, they are often overlooked. Large randomized trials testing and comparing non-pharmacological approaches are warranted.
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Affiliation(s)
- Jose-Alberto Palma
- Department of Neurology, New York University Grossman School of Medicine, New York, NY, USA
| | - Roland D Thijs
- Department of Neurology, Leiden University Medical Centre, Leiden, The Netherlands
- Stichting Epilepsie Instellingen Nederland (SEIN), Heemstede, The Netherlands
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Marrie RA, Palladino R. Deciphering a Prodrome: Looking for a Disease in a Haystack. Neurology 2023; 101:1083-1084. [PMID: 38052494 DOI: 10.1212/wnl.0000000000208070] [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: 09/11/2023] [Accepted: 10/09/2023] [Indexed: 12/07/2023] Open
Abstract
In many chronic diseases, the underlying biological processes begin long before the condition is clinically recognized and diagnosed. After biologic onset of the disease an early, often nonspecific, set of symptoms, or prodrome, may develop before more characteristic symptoms of the disease present. For instance, in Parkinson disease (PD), some of the earliest manifestations, such as smell or taste dysfunction, may occur 2 decades before typical symptoms, such as tremor, appear.1 Generally, the combination of long prodromal phases and nonspecific symptoms hampers early recognition of disease. Recognizing the prodromal phase of a disease in an individual has 2 potential benefits. First, accurate identification of etiologic factors for disease depends on ensuring that the putative exposure preceded biologic onset of the disease and that the identified symptoms are not related to a delay in diagnosis. Therefore, recognition of a prodromal phase may enhance the ability to identify etiologic factors. Second, accurate prediction that an individual is in the prodromal phase of the disease offers the tantalizing possibility that intervention in this phase could prevent or delay evolution of more typical clinical manifestations.2.
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Affiliation(s)
- Ruth Ann Marrie
- From the Internal Medicine and Community Health Sciences (R.A.M.), University of Manitoba, Winnipeg, Canada; and Public Health (R.P.), University "Federico II" of Naples, Italy
| | - Raffaele Palladino
- From the Internal Medicine and Community Health Sciences (R.A.M.), University of Manitoba, Winnipeg, Canada; and Public Health (R.P.), University "Federico II" of Naples, Italy
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Xin G, Niu J, Tian Q, Fu Y, Chen L, Yi T, Tian K, Sun X, Wang N, Wang J, Zhang H, Wang L. Identification of potential immune-related hub genes in Parkinson's disease based on machine learning and development and validation of a diagnostic classification model. PLoS One 2023; 18:e0294984. [PMID: 38051734 DOI: 10.1371/journal.pone.0294984] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 11/14/2023] [Indexed: 12/07/2023] Open
Abstract
BACKGROUND Parkinson's disease is the second most common neurodegenerative disease in the world. However, current diagnostic methods are still limited, and available treatments can only mitigate the symptoms of the disease, not reverse it at the root. The immune function has been identified as playing a role in PD, but the exact mechanism is unknown. This study aimed to search for potential immune-related hub genes in Parkinson's disease, find relevant immune infiltration patterns, and develop a categorical diagnostic model. METHODS We downloaded the GSE8397 dataset from the GEO database, which contains gene expression microarray data for 15 healthy human SN samples and 24 PD patient SN samples. Screening for PD-related DEGs using WGCNA and differential expression analysis. These PD-related DEGs were analyzed for GO and KEGG enrichment. Subsequently, hub genes (dld, dlk1, iars and ttd19) were screened by LASSO and mSVM-RFE machine learning algorithms. We used the ssGSEA algorithm to calculate and evaluate the differences in nigrostriatal immune cell types in the GSE8397 dataset. The association between dld, dlk1, iars and ttc19 and 28 immune cells was investigated. Using the GSEA and GSVA algorithms, we analyzed the biological functions associated with immune-related hub genes. Establishment of a ceRNA regulatory network for immune-related hub genes. Finally, a logistic regression model was used to develop a PD classification diagnostic model, and the accuracy of the model was verified in three independent data sets. The three independent datasets are GES49036 (containing 8 healthy human nigrostriatal tissue samples and 15 PD patient nigrostriatal tissue samples), GSE20292 (containing 18 healthy human nigrostriatal tissue samples and 11 PD patient nigrostriatal tissue samples) and GSE7621 (containing 9 healthy human nigrostriatal tissue samples and 16 PD patient nigrostriatal tissue samples). RESULTS Ultimately, we screened for four immune-related Parkinson's disease hub genes. Among them, the AUC values of dlk1, dld and ttc19 in GSE8397 and three other independent external datasets were all greater than 0.7, indicating that these three genes have a certain level of accuracy. The iars gene had an AUC value greater than 0.7 in GES8397 and one independent external data while the AUC values in the other two independent external data sets ranged between 0.5 and 0.7. These results suggest that iars also has some research value. We successfully constructed a categorical diagnostic model based on these four immune-related Parkinson's disease hub genes, and the AUC values of the joint diagnostic model were greater than 0.9 in both GSE8397 and three independent external datasets. These results indicate that the categorical diagnostic model has a good ability to distinguish between healthy individuals and Parkinson's disease patients. In addition, ceRNA networks reveal complex regulatory relationships based on immune-related hub genes. CONCLUSION In this study, four immune-related PD hub genes (dld, dlk1, iars and ttd19) were obtained. A reliable diagnostic model for PD classification was developed. This study provides algorithmic-level support to explore the immune-related mechanisms of PD and the prediction of immune-related drug targets.
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Affiliation(s)
- Guanghao Xin
- Department of Neurology, The Second Affiliated Hospital of Harbin Medical University, City Harbin, Province Heilongjiang, China
| | - Jingyan Niu
- Department of Neurology, The Second Affiliated Hospital of Harbin Medical University, City Harbin, Province Heilongjiang, China
| | - Qinghua Tian
- Department of Neurology, The 962 Hospital of the Chinese People's Liberation Army Joint Logistic Support Force, City Harbin, Province Heilongjiang, China
| | - Yanchi Fu
- Department of Neurology, The Second Affiliated Hospital of Harbin Medical University, City Harbin, Province Heilongjiang, China
| | - Lixia Chen
- Department of Neurology, The Second Affiliated Hospital of Harbin Medical University, City Harbin, Province Heilongjiang, China
| | - Tingting Yi
- Department of Neurology, The Second Affiliated Hospital of Harbin Medical University, City Harbin, Province Heilongjiang, China
| | - Kuo Tian
- Department of Neurology, The Second Affiliated Hospital of Harbin Medical University, City Harbin, Province Heilongjiang, China
| | - Xuesong Sun
- Department of Neurology, The Second Affiliated Hospital of Harbin Medical University, City Harbin, Province Heilongjiang, China
| | - Na Wang
- Department of Neurology, The Second Affiliated Hospital of Harbin Medical University, City Harbin, Province Heilongjiang, China
| | - Jianjian Wang
- Department of Neurology, The Second Affiliated Hospital of Harbin Medical University, City Harbin, Province Heilongjiang, China
| | - Huixue Zhang
- Department of Neurology, The Second Affiliated Hospital of Harbin Medical University, City Harbin, Province Heilongjiang, China
| | - Lihua Wang
- Department of Neurology, The Second Affiliated Hospital of Harbin Medical University, City Harbin, Province Heilongjiang, China
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Gkotzamanis V, Panagiotakos DB, Yannakoulia M, Maraki M, Kosmidis M, Dardiotis E, Hadjigeorgiou G, Sakka P, Ntanasi E, Mamalaki E, Scarmeas N. Trajectories of healthy aging and their association with prodromal parkinson disease: The HELIAD study. APPLIED NEUROPSYCHOLOGY. ADULT 2023:1-8. [PMID: 38048313 DOI: 10.1080/23279095.2023.2289548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/06/2023]
Abstract
Background: The aim of the present study was to investigate the association of prodromal PD (pPD) with trajectories of healthy aging, according to its latest definition by the WHO.Methods: In a sample of 1,226 older adults (704 women), PD diagnosis was reached through standard clinical research procedures. Probability of pPD was calculated according to the International Parkinson and Movement Disorder Society's research criteria for PD-free participants. A healthy aging metric was introduced using an item response theory approach (IRT) based on information from validated questionnaires assessing functionality. Four trajectories of healthy aging were created based on whether the healthy aging status of participants was above or below the median at baseline and follow up: High-High, High-Low, Low-High and Low-Low.Results: 34.3% belonged to the High-High group, 15.7% to the High-Low, 18.6% to the Low-High and 31.4% to the Low-Low group. Participants with possible/probable pPD were 78% less likely to belong in High-High trajectory of healthy aging as compared to those without pPD (OR = 0.22, 95%CI 0.06-0.79, p-value = 0,02).Conclusion: Our findings suggest an inverse association of pPD probability with healthy aging among older adults; Further research is needed to investigate the clinical implications of this association.
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Affiliation(s)
- Viktor Gkotzamanis
- Department of Nutrition and Dietetics, School of Health Sciences and Education, Harokopio University, Athens, Greece
| | - Demosthenes B Panagiotakos
- Department of Nutrition and Dietetics, School of Health Sciences and Education, Harokopio University, Athens, Greece
| | - Mary Yannakoulia
- Department of Nutrition and Dietetics, School of Health Sciences and Education, Harokopio University, Athens, Greece
| | - Maria Maraki
- Department of Nutrition and Dietetics, School of Health Sciences and Education, Harokopio University, Athens, Greece
| | - Mary 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, Athens, Greece
| | - Eva Ntanasi
- 1st Department of Neurology, Aiginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Eirini Mamalaki
- Department of Nutrition and Dietetics, School of Health Sciences and Education, Harokopio University, Athens, Greece
| | - Nikolaos Scarmeas
- 1st Department of Neurology, Aiginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
- Department of Neurology, Columbia University, New York, NY, USA
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96
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Santos‐García D, de Deus Fonticoba T, Cores Bartolomé C, Feal Painceiras MJ, García Díaz I, Alvarado MCÍ, Paz JM, Jesús S, Cosgaya M, Caldentey JG, Caballol N, Legarda I, Hernández Vara J, Cabo I, López Manzanares L, González Aramburu I, Ávila Rivera MA, Gómez Mayordomo V, Nogueira V, Dotor García‐Soto J, Borrué C, Solano Vila B, Álvarez Sauco M, Vela L, Escalante S, Cubo E, Mendoza Z, Martínez Castrillo JC, Sánchez Alonso P, Alonso Losada MG, López Ariztegui N, Gastón I, Kulisevsky J, Seijo M, Valero C, Alonso Redondo R, Buongiorno MT, Ordás C, Menéndez‐González M, McAfee D, Martinez‐Martin P, Mir P. Staging Parkinson's disease according to the MNCD classification correlates with caregiver burden. Brain Behav 2023; 13:e3295. [PMID: 37939322 PMCID: PMC10726881 DOI: 10.1002/brb3.3295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 10/08/2023] [Accepted: 10/12/2023] [Indexed: 11/10/2023] Open
Abstract
BACKGROUND AND OBJECTIVE Recently, we demonstrated that staging Parkinson's disease (PD) with a novel simple classification called MNCD, based on four axes (motor, non-motor, cognition, and dependency) and five stages, correlated with disease severity and patients' quality of life. Here, we analyzed the correlation of MNCD staging with PD caregiver's status. PATIENTS AND METHODS Data from the baseline visit of PD patients and their principal caregiver recruited from 35 centers in Spain from the COPPADIS cohort from January 2016 to November 2017 were used to apply the MNCD total score (from 0 to 12) and MNCD stages (from 1 to 5) in this cross-sectional analysis. Caregivers completed the Zarit Caregiver Burden Inventory (ZCBI), Caregiver Strain Index (CSI), Beck Depression Inventory-II (BDI-II), PQ-10, and EUROHIS-QOL 8-item index (EUROHIS-QOL8). RESULTS Two hundred and twenty-four PD patients (63 ± 9.6 years old; 61.2% males) and their caregivers (58.5 ± 12.1 years old; 67.9% females) were included. The frequency of MNCD stages was 1, 7.6%; 2, 58.9%; 3, 31.3%; and 4-5, 2.2%. A more advanced MNCD stage was associated with a higher score on the ZCBI (p < .0001) and CSI (p < .0001), and a lower score on the PQ-10 (p = .001), but no significant differences were observed in the BDI-II (p = .310) and EUROHIS-QOL8 (p = .133). Moderate correlations were observed between the MNCD total score and the ZCBI (r = .496; p < .0001), CSI (r = .433; p < .0001), and BDI-II (r = .306; p < .0001) in caregivers. CONCLUSION Staging PD according to the MNCD classification is correlated with caregivers' strain and burden.
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Affiliation(s)
- Diego Santos‐García
- Department of Neurology, CHUACComplejo Hospitalario Universitario de A CoruñaA CoruñaSpain
| | | | - Carlos Cores Bartolomé
- Department of Neurology, CHUACComplejo Hospitalario Universitario de A CoruñaA CoruñaSpain
| | | | - Iago García Díaz
- Department of Neurology, CHUACComplejo Hospitalario Universitario de A CoruñaA CoruñaSpain
| | | | - Jose Manuel Paz
- Department of Neurology, CHUACComplejo Hospitalario Universitario de A CoruñaA CoruñaSpain
| | - Silvia Jesús
- Department of Neurology, Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de SevillaHospital Universitario Virgen del Rocío/CSIC/Universidad de SevillaSevilleSpain
- CIBERNED (Centro de Investigación Biomédica en Red Enfermedades Neurodegenerativas)MadridSpain
| | - Marina Cosgaya
- Department of NeurologyHospital Clínic de BarcelonaBarcelonaSpain
| | | | - Nuria Caballol
- Department of Neurology, Consorci Sanitari IntegralHospital Moisés BroggiSant Joan DespíBarcelonaSpain
| | - Ines Legarda
- Department of NeurologyHospital Universitario Son EspasesPalma de MallorcaSpain
| | - Jorge Hernández Vara
- CIBERNED (Centro de Investigación Biomédica en Red Enfermedades Neurodegenerativas)MadridSpain
- Department of NeurologyHospital Universitario Vall d´HebronBarcelonaSpain
| | - Iria Cabo
- Department of NeurologyComplejo Hospitalario Universitario de Pontevedra (CHOP)PontevedraSpain
| | | | - Isabel González Aramburu
- CIBERNED (Centro de Investigación Biomédica en Red Enfermedades Neurodegenerativas)MadridSpain
- Department of NeurologyHospital Universitario Marqués de Valdecilla – IDIVALSantanderSpain
| | - Maria A. Ávila Rivera
- Department of Neurology, Consorci Sanitari IntegralHospital General de L´Hospitalet, L´Hospitalet de LlobregatBarcelonaSpain
| | - Víctor Gómez Mayordomo
- Department of Neurology, Institute of NeuroscienceVithas Madrid La Milagrosa University Hospital, Vithas Hospital GroupMadridSpain
| | - Víctor Nogueira
- Department of NeurologyHospital Universitario Lucus AugustiLugoSpain
| | | | - Carmen Borrué
- Department of NeurologyHospital Infanta SofíaMadridSpain
| | - Berta Solano Vila
- Department of NeurologyInstitut d'Assistència Sanitària (IAS) – Institut Català de la SalutGironaSpain
| | | | - Lydia Vela
- Department of NeurologyFundación Hospital de AlcorcónMadridSpain
| | - Sonia Escalante
- Department of NeurologyHospital de Tortosa Verge de la Cinta (HTVC)TortosaTarragonaSpain
| | - Esther Cubo
- Department of NeurologyComplejo Asistencial Universitario de BurgosBurgosSpain
| | - Zebenzui Mendoza
- Department of NeurologyHospital Universitario de CanariasSan Cristóbal de la LagunaSanta Cruz de TenerifeSpain
| | | | | | - Maria G. Alonso Losada
- Department of NeurologyHospital Álvaro Cunqueiro, Complejo Hospitalario Universitario de Vigo (CHUVI)VigoSpain
| | | | - Itziar Gastón
- Department of NeurologyComplejo Hospitalario de NavarraPamplonaSpain
| | - Jaime Kulisevsky
- CIBERNED (Centro de Investigación Biomédica en Red Enfermedades Neurodegenerativas)MadridSpain
- Department of NeurologyHospital de Sant PauBarcelonaSpain
| | - Manuel Seijo
- Department of NeurologyComplejo Hospitalario Universitario de Pontevedra (CHOP)PontevedraSpain
| | - Caridad Valero
- Department of NeurologyHospital Arnau de VilanovaValenciaSpain
| | | | | | - Carlos Ordás
- Department of NeurologyHospital Rey Juan CarlosMadridSpain
| | | | - Darrian McAfee
- University of Maryland School of MedicineBaltimoreMarylandUSA
| | - Pablo Martinez‐Martin
- CIBERNED (Centro de Investigación Biomédica en Red Enfermedades Neurodegenerativas)MadridSpain
| | - Pablo Mir
- Department of Neurology, Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de SevillaHospital Universitario Virgen del Rocío/CSIC/Universidad de SevillaSevilleSpain
- CIBERNED (Centro de Investigación Biomédica en Red Enfermedades Neurodegenerativas)MadridSpain
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97
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Seger A, Ophey A, Doppler CEJ, Kickartz J, Lindner MS, Hommelsen M, Fink GR, Sommerauer M. Clinical subtypes in patients with isolated REM sleep behaviour disorder. NPJ Parkinsons Dis 2023; 9:155. [PMID: 37978183 PMCID: PMC10656506 DOI: 10.1038/s41531-023-00598-7] [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: 04/27/2023] [Accepted: 10/30/2023] [Indexed: 11/19/2023] Open
Abstract
Patients with Parkinson's disease (PD) show a broad heterogeneity in clinical presentation, and subtypes may already arise in prodromal disease stages. Isolated REM sleep behaviour disorder (iRBD) is the most specific marker of prodromal PD, but data on clinical subtyping of patients with iRBD remain scarce. Therefore, this study aimed to identify iRBD subtypes. We conducted comprehensive clinical assessments in 66 patients with polysomnography-proven iRBD, including motor and non-motor evaluations, and applied a two-step cluster analysis. Besides, we compared iRBD clusters to matched healthy controls and related the resulting cluster solution to cortical and subcortical grey matter volumes by voxel-based morphometry analysis. We identified two distinct subtypes of patients based on olfactory function, dominant electroencephalography frequency, amount of REM sleep without atonia, depressive symptoms, disease duration, and motor functions. One iRBD cluster (Cluster I, late onset-aggressive) was characterised by higher non-motor symptom burden despite shorter disease duration than the more benign subtype (Cluster II, early onset-benign). Motor functions were comparable between the clusters. Patients from Cluster I were significantly older at iRBD onset and exhibited a widespread reduction of cortical grey matter volume compared to patients from Cluster II. In conclusion, our findings suggest the existence of clinical subtypes already in the prodromal stage of PD. Future longitudinal studies are warranted that replicate these findings and investigate the risk of the more aggressive phenotype for earlier phenoconversion and dementia development.
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Grants
- M. Sommerauer received grants from the Else Kröner-Fresenius-Stiftung (grant number 2019_EKES.02), and the Koeln Fortune Program, Faculty of Medicine, University of Cologne (grant number 453/2018, 343/2020, and 466/2020). MS is receiving funding from the program " Netzwerke 2021", an initiative of the Ministry of Culture and Science of the State of Northrhine Westphalia.
- A. Ophey received a grant from the Koeln Fortune Program (grant-no. 329/2021), Faculty of Medicine, University of Cologne, and the “Novartis-Stiftung für therapeutische Forschung”, both outside the submitted work.
- C. E. J. Doppler received grants from the Clinician Scientist Program (CCSP), funded by the German Research Foundation (DFG, FI 773/15-1).
- G. R. Fink receives royalties from the publication of the books Funktionelle MRT in Psychiatrie und Neurologie, Neurologische Differentialdiagnose, and SOP Neurologie and received honoraria for speaking engagements from Forum für medizinische Fortbildung FomF GmbH as well as grants from Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), Project-ID 431549029, SFB 1451.
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Affiliation(s)
- Aline Seger
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Neurology, Cologne, Germany
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Centre Jülich, Jülich, Germany
| | - Anja Ophey
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Medical Psychology | Neuropsychology and Gender Studies & Center for Neuropsychological Diagnostics and Interventions (CeNDI), Cologne, Germany
| | - Christopher E J Doppler
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Neurology, Cologne, Germany
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Centre Jülich, Jülich, Germany
| | - Johanna Kickartz
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Neurology, Cologne, Germany
| | - Marie-Sophie Lindner
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Neurology, Cologne, Germany
| | - Maximilian Hommelsen
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Centre Jülich, Jülich, Germany
| | - Gereon R Fink
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Neurology, Cologne, Germany
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Centre Jülich, Jülich, Germany
| | - Michael Sommerauer
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Neurology, Cologne, Germany.
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Centre Jülich, Jülich, Germany.
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98
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Ogaki K, Fujita H, Nozawa N, Shiina T, Sakuramoto H, Suzuki K. Impact of diabetes and glycated hemoglobin level on the clinical manifestations of Parkinson's disease. J Neurol Sci 2023; 454:120851. [PMID: 37931442 DOI: 10.1016/j.jns.2023.120851] [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: 08/03/2023] [Revised: 09/21/2023] [Accepted: 10/22/2023] [Indexed: 11/08/2023]
Abstract
BACKGROUND The coexistence of diabetes mellitus (DM) has been suggested to accelerate the progression of Parkinson's disease (PD) and make the phenotype more severe. In this study, we investigated whether DM or glycated hemoglobin (HbA1c) levels affect the differences in motor and nonmotor symptoms. METHODS We conducted a cross-sectional study including 140 consecutive Japanese patients with PD for whom medical history and serum HbA1c records were available. The PD patients with a DM diagnosis were classified into the diabetes-complicated group (PD-DM) and the nondiabetes-complicated group (PD-no DM). Next, patients were classified based on a median HbA1c value of 5.7, and clinical parameters were compared. The correlations between HbA1c levels and other clinical variables were analyzed. RESULTS Of 140 patients, 23 patients (16%) had DM. Compared to PD-no DM patients, PD-DM patients showed lower MMSE scores. Compared to the lower HbA1c group, the higher HbA1c group showed a higher MDS-UPDRS part III score and a lower metaiodobenzylguanidine (MIBG) scintigraphy heart-to-mediastinum (H/M) ratio. HbA1c levels were positively correlated with age and the MDS-UPDRS part III score and negatively correlated with the MMSE score and H/M ratio on cardiac MIBG scintigraphy. Binary logistic regression analysis, which included age, sex, disease duration, and MMSE and MDS-UPDRS part III scores as independent variables, revealed that a lower MMSE score was an independent contributor to PD-DM and PD with high HbA1c levels. CONCLUSIONS DM complications and high HbA1c levels may affect cognitive function in patients with PD.
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Affiliation(s)
- Keitaro Ogaki
- Department of Neurology, Dokkyo Medical University, Tochigi, Japan
| | - Hiroaki Fujita
- Department of Neurology, Dokkyo Medical University, Tochigi, Japan.
| | - Narihiro Nozawa
- Department of Neurology, Dokkyo Medical University, Tochigi, Japan
| | - Tomohiko Shiina
- Department of Neurology, Dokkyo Medical University, Tochigi, Japan
| | | | - Keisuke Suzuki
- Department of Neurology, Dokkyo Medical University, Tochigi, Japan
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99
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Lai H, Li XY, Xu F, Zhu J, Li X, Song Y, Wang X, Wang Z, Wang C. Applications of Machine Learning to Diagnosis of Parkinson's Disease. Brain Sci 2023; 13:1546. [PMID: 38002506 PMCID: PMC10670005 DOI: 10.3390/brainsci13111546] [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: 09/27/2023] [Revised: 10/28/2023] [Accepted: 10/31/2023] [Indexed: 11/26/2023] Open
Abstract
BACKGROUND Accurate diagnosis of Parkinson's disease (PD) is challenging due to its diverse manifestations. Machine learning (ML) algorithms can improve diagnostic precision, but their generalizability across medical centers in China is underexplored. OBJECTIVE To assess the accuracy of an ML algorithm for PD diagnosis, trained and tested on data from different medical centers in China. METHODS A total of 1656 participants were included, with 1028 from Beijing (training set) and 628 from Fuzhou (external validation set). Models were trained using the least absolute shrinkage and selection operator-logistic regression (LASSO-LR), decision tree (DT), random forest (RF), eXtreme gradient boosting (XGboost), support vector machine (SVM), and k-nearest neighbor (KNN) techniques. Hyperparameters were optimized using five-fold cross-validation and grid search techniques. Model performance was evaluated using the area under the curve (AUC) of the receiver operating characteristic (ROC) curve, accuracy, sensitivity (recall), specificity, precision, and F1 score. Variable importance was assessed for all models. RESULTS SVM demonstrated the best differentiation between healthy controls (HCs) and PD patients (AUC: 0.928, 95% CI: 0.908-0.947; accuracy: 0.844, 95% CI: 0.814-0.871; sensitivity: 0.826, 95% CI: 0.786-0.866; specificity: 0.861, 95% CI: 0.820-0.898; precision: 0.849, 95% CI: 0.807-0.891; F1 score: 0.837, 95% CI: 0.803-0.868) in the validation set. Constipation, olfactory decline, and daytime somnolence significantly influenced predictability. CONCLUSION We identified multiple pivotal variables and SVM as a precise and clinician-friendly ML algorithm for prediction of PD in Chinese patients.
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Affiliation(s)
- Hong Lai
- Department of Neurology, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing 100053, China; (H.L.); (X.-Y.L.); (F.X.); (J.Z.); (X.L.); (Y.S.); (X.W.); (Z.W.)
- Department of Neurology, The First Affiliated Hospital of Gannan Medical University, Ganzhou 341000, China
| | - Xu-Ying Li
- Department of Neurology, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing 100053, China; (H.L.); (X.-Y.L.); (F.X.); (J.Z.); (X.L.); (Y.S.); (X.W.); (Z.W.)
| | - Fanxi Xu
- Department of Neurology, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing 100053, China; (H.L.); (X.-Y.L.); (F.X.); (J.Z.); (X.L.); (Y.S.); (X.W.); (Z.W.)
| | - Junge Zhu
- Department of Neurology, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing 100053, China; (H.L.); (X.-Y.L.); (F.X.); (J.Z.); (X.L.); (Y.S.); (X.W.); (Z.W.)
| | - Xian Li
- Department of Neurology, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing 100053, China; (H.L.); (X.-Y.L.); (F.X.); (J.Z.); (X.L.); (Y.S.); (X.W.); (Z.W.)
| | - Yang Song
- Department of Neurology, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing 100053, China; (H.L.); (X.-Y.L.); (F.X.); (J.Z.); (X.L.); (Y.S.); (X.W.); (Z.W.)
| | - Xianlin Wang
- Department of Neurology, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing 100053, China; (H.L.); (X.-Y.L.); (F.X.); (J.Z.); (X.L.); (Y.S.); (X.W.); (Z.W.)
| | - Zhanjun Wang
- Department of Neurology, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing 100053, China; (H.L.); (X.-Y.L.); (F.X.); (J.Z.); (X.L.); (Y.S.); (X.W.); (Z.W.)
| | - Chaodong Wang
- Department of Neurology, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing 100053, China; (H.L.); (X.-Y.L.); (F.X.); (J.Z.); (X.L.); (Y.S.); (X.W.); (Z.W.)
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100
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Weintraub D. What's in a Name? The Time Has Come to Unify Parkinson's Disease and Dementia with Lewy Bodies. Mov Disord 2023; 38:1977-1981. [PMID: 37614069 DOI: 10.1002/mds.29590] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 08/04/2023] [Accepted: 08/07/2023] [Indexed: 08/25/2023] Open
Affiliation(s)
- Daniel Weintraub
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
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