1
|
Balasubramanian S, Mehmood KT, Al-Baldawi S, Zúñiga Salazar G, Zúñiga D. Behind the Mask: Parkinson's Disease and Depression. Cureus 2024; 16:e52663. [PMID: 38380213 PMCID: PMC10877222 DOI: 10.7759/cureus.52663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/21/2024] [Indexed: 02/22/2024] Open
Abstract
Parkinson's disease (PD) is a common, prevalent neurodegenerative disease. It is mainly characterized by motor symptoms such as rigidity, tremors, and bradykinesia, but it can also manifest with non-motor symptoms, of which depression is the most frequent. The latter can impair the quality of life, yet it gets overlooked and goes untreated because of the significant overlap in their clinical features, hence making the diagnosis difficult. Furthermore, there is limited data on the availability of appropriate criteria for making the diagnosis of depression in PD patients, as it can occur with varying expressions throughout the course of PD or it can also precede it. This review article has included a brief discussion on the diagnosis of depression in PD patients and their overlapped clinical manifestations. Understanding the mechanisms underlying the disease processes of PD and depression and the pathways interconnecting them gives better knowledge on devising treatment options for the patients. Only studies from Pubmed were included and all other databases were excluded. Studies from the last 50 years were included. Suitable references included in these studies were also extracted. Thus, depression in PD and PD in depression, along with their pharmacological and non-pharmacological treatment options, have been discussed.
Collapse
Affiliation(s)
| | | | | | | | - Diego Zúñiga
- Medicine, Universidad Católica de Santiago de Guayaquil, Guayaquil, ECU
| |
Collapse
|
2
|
Kalinderi K, Papaliagkas V, Fidani L. Current genetic data on depression and anxiety in Parkinson's disease patients. Parkinsonism Relat Disord 2024; 118:105922. [PMID: 37935601 DOI: 10.1016/j.parkreldis.2023.105922] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Revised: 10/15/2023] [Accepted: 10/30/2023] [Indexed: 11/09/2023]
Abstract
Parkinson's disease (PD) is a common neurodegenerative disorder affecting about 1 % of the population over the age of 60 years. PD is characterized by a wide spectrum of symptomatology including not only motor symptoms but non-motor symptoms, as well. Depression is one of the most common non-motor manifestations, and the most frequent neuropsychiatric comorbidity in PD. Neuropsychiatric symptoms like depression and anxiety may precede the appearance of motor features, highlighting their importance in the early detection of the disease and its strategic management. This review discusses the possible genetic background of the development of these neuropsychiatric symptoms in PD patients analyzing current genetic data associated with this clinical entity.
Collapse
Affiliation(s)
- Kallirhoe Kalinderi
- Laboratory of Medical Biology-Genetics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.
| | - Vasileios Papaliagkas
- Department of Biomedical Sciences, School of Health Sciences, International Hellenic University, 57400, Thessaloniki, Greece
| | - Liana Fidani
- Laboratory of Medical Biology-Genetics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece
| |
Collapse
|
3
|
Rai P, Sundarakumar JS, Basavaraju N, Kommaddi RP, Issac TG. Association between ApoE ε4 genotype and attentional function in non-demented, middle-aged, and older adults from rural India. J Neurosci Rural Pract 2024; 15:117-125. [PMID: 38476424 PMCID: PMC10927062 DOI: 10.25259/jnrp_272_2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 10/28/2023] [Indexed: 03/14/2024] Open
Abstract
Objectives Several genetic factors have been associated with cognitive decline in aging. Apolipoprotein E (ApoE) ε4 has been widely studied in the risk for pathological cognitive decline, including dementia. However, the association between ApoE ε4 and cognitive functioning in the healthy aging Indian population has been understudied, and the results are ambiguous. Materials and Methods This study aims to examine the role of the ApoE genotype with attentional function in aging adults (≥45 years) in a rural Indian population. Cross-sectional (baseline) data (n = 2100) was utilized from an ongoing longitudinal cohort study on aging (Srinivaspura Aging, Neurosenescence, and Cognition study). Participants hailed from villages of Srinivaspura in Karnataka, southern India. Participants were categorized based on ApoE-ε4 status into three categories: No ε4, heterozygous ε4, and homozygous ε4. Attentional function was assessed using the auditory and visual attention subtests from a computerized neurocognitive test battery. Linear regression was performed adjusting for age, gender, and education. Results In model 1 (unadjusted), we did not find an association between ApoE and attention function. In the partially adjusted model 2 (adjusting for age), ApoE ε4 with age was significantly associated with the attention function. Further, with increasing age, there was a decline in attention among homozygous ε4 individuals. Model 3 (model 2 + gender) found that ApoE ε4, age, and gender explained a significant variance in attention function. In addition, with increasing age, males had poor attention in the homozygous as compared to heterozygous group. Model 4 (model 3+ education) explained a significant variance in attention and also revealed that with increasing age, attention declined in the illiterate and low literacy groups in both homozygous and heterozygous groups among both genders. Conclusion Although ApoE ε4 alone was not associated, it interacted with age, gender, and education to affect attention function in this rural Indian population. Longitudinal cognitive monitoring will yield insights into understanding whether the ApoE ε4 genotype influences the rate of cognitive decline in this rural, aging population.
Collapse
Affiliation(s)
- Pooja Rai
- Centre for Brain Research, Indian Institute of Science, Bengaluru, Karnataka, India
| | | | - Nimisha Basavaraju
- Centre for Brain Research, Indian Institute of Science, Bengaluru, Karnataka, India
| | - Reddy Peera Kommaddi
- Centre for Brain Research, Indian Institute of Science, Bengaluru, Karnataka, India
| | - Thomas Gregor Issac
- Centre for Brain Research, Indian Institute of Science, Bengaluru, Karnataka, India
| |
Collapse
|
4
|
Buongiorno M, Marzal C, Fernandez M, Cullell N, de Mena L, Sánchez-Benavides G, de la Sierra A, Krupinski J, Compta Y. Altered sleep and neurovascular dysfunction in alpha-synucleinopathies: the perfect storm for glymphatic failure. Front Aging Neurosci 2023; 15:1251755. [PMID: 37693650 PMCID: PMC10484002 DOI: 10.3389/fnagi.2023.1251755] [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: 07/02/2023] [Accepted: 08/04/2023] [Indexed: 09/12/2023] Open
Abstract
Clinical and cognitive progression in alpha-synucleinopathies is highly heterogeneous. While some patients remain stable over long periods of time, other suffer early dementia or fast motor deterioration. Sleep disturbances and nocturnal blood pressure abnormalities have been identified as independent risk factors for clinical progression but a mechanistic explanation linking both aspects is lacking. We hypothesize that impaired glymphatic system might play a key role on clinical progression. Glymphatic system clears brain waste during specific sleep stages, being blood pressure the motive force that propels the interstitial fluid through brain tissue to remove protein waste. Thus, the combination of severe sleep alterations, such as REM sleep behavioral disorder, and lack of the physiological nocturnal decrease of blood pressure due to severe dysautonomia may constitute the perfect storm for glymphatic failure, causing increased abnormal protein aggregation and spreading. In Lewy body disorders (Parkinson's disease and dementia with Lewy bodies) the increment of intraneuronal alpha-synuclein and extracellular amyloid-β would lead to cognitive deterioration, while in multisystemic atrophy, increased pathology in oligodendroglia would relate to the faster and malignant motor progression. We present a research model that may help in developing studies aiming to elucidate the role of glymphatic function and associated factors mainly in alpha-synucleinopathies, but that could be relevant also for other protein accumulation-related neurodegenerative diseases. If the model is proven to be useful could open new lines for treatments targeting glymphatic function (for example through control of nocturnal blood pressure) with the objective to ameliorate cognitive and motor progression in alpha-synucleinopathies.
Collapse
Affiliation(s)
- Mariateresa Buongiorno
- Hospital Universitari MútuaTerrassa/Fundacio Docència i Recerca MútuaTerrassa, Terrassa, Spain
| | - Clara Marzal
- Hospital Universitari MútuaTerrassa/Fundacio Docència i Recerca MútuaTerrassa, Terrassa, Spain
| | - Manel Fernandez
- Lab of Parkinson Disease and Other Neurodegenerative Movement Disorders, Institut d’Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Institut de Neurociències (UBNeuro), Universitat de Barcelona, Barcelona, Spain
| | - Natalia Cullell
- Hospital Universitari MútuaTerrassa/Fundacio Docència i Recerca MútuaTerrassa, Terrassa, Spain
| | - Lorena de Mena
- Lab of Parkinson Disease and Other Neurodegenerative Movement Disorders, Institut d’Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Institut de Neurociències (UBNeuro), Universitat de Barcelona, Barcelona, Spain
| | - Gonzalo Sánchez-Benavides
- Barcelonaβeta Brain Research Center, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Alejandro de la Sierra
- Hospital Universitari MútuaTerrassa/Fundacio Docència i Recerca MútuaTerrassa, Terrassa, Spain
| | - Jerzy Krupinski
- Hospital Universitari MútuaTerrassa/Fundacio Docència i Recerca MútuaTerrassa, Terrassa, Spain
- Department of Life Sciences John Dalton Building, Faculty of Science and Engineering, Manchester Metropolitan University, Manchester, United Kingdom
| | - Yaroslau Compta
- Parkinson’s Disease and Movement Disorders Unit, Neurology Service, Hospital Clínic i Universitari de Barcelona, CIBERNED (CB06/05/0018-ISCIII), ERN-RND, UBNeuro Institut Clínic de Neurociències (Maria de Maeztu Excellence Centre), Universitat de Barcelona, Barcelona, Spain
| |
Collapse
|
5
|
Angelopoulou E, Stanitsa E, Karpodini CC, Bougea A, Kontaxopoulou D, Fragkiadaki S, Koros C, Georgakopoulou VE, Fotakopoulos G, Koutedakis Y, Piperi C, Papageorgiou SG. Pharmacological and Non-Pharmacological Treatments for Depression in Parkinson's Disease: An Updated Review. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:1454. [PMID: 37629744 PMCID: PMC10456434 DOI: 10.3390/medicina59081454] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 07/19/2023] [Accepted: 08/07/2023] [Indexed: 08/27/2023]
Abstract
Depression represents one of the most common non-motor disorders in Parkinson's disease (PD) and it has been related to worse life quality, higher levels of disability, and cognitive impairment, thereby majorly affecting not only the patients but also their caregivers. Available pharmacological therapeutic options for depression in PD mainly include selective serotonin reuptake inhibitors, serotonin and norepinephrine reuptake inhibitors, and tricyclic antidepressants; meanwhile, agents acting on dopaminergic pathways used for motor symptoms, such as levodopa, dopaminergic agonists, and monoamine oxidase B (MAO-B) inhibitors, may also provide beneficial antidepressant effects. Recently, there is a growing interest in non-pharmacological interventions, including cognitive behavioral therapy; physical exercise, including dance and mind-body exercises, such as yoga, tai chi, and qigong; acupuncture; therapeutic massage; music therapy; active therapy; repetitive transcranial magnetic stimulation (rTMS); and electroconvulsive therapy (ECT) for refractory cases. However, the optimal treatment approach for PD depression is uncertain, its management may be challenging, and definite guidelines are also lacking. It is still unclear which of these interventions is the most appropriate and for which PD stage under which circumstances. Herein, we aim to provide an updated comprehensive review of both pharmacological and non-pharmacological treatments for depression in PD, focusing on recent clinical trials, systematic reviews, and meta-analyses. Finally, we discuss the pharmacological agents that are currently under investigation at a clinical level, as well as future approaches based on the pathophysiological mechanisms underlying the onset of depression in PD.
Collapse
Affiliation(s)
- Efthalia Angelopoulou
- 1st Department of Neurology, Medical School, National and Kapodistrian University of Athens, Eginition Hospital, 11528 Athens, Greece; (E.A.); (E.S.); (A.B.); (D.K.); (S.F.); (C.K.)
- Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece;
| | - Evangelia Stanitsa
- 1st Department of Neurology, Medical School, National and Kapodistrian University of Athens, Eginition Hospital, 11528 Athens, Greece; (E.A.); (E.S.); (A.B.); (D.K.); (S.F.); (C.K.)
| | - Claire Chrysanthi Karpodini
- Sport and Physical Activity Research Centre, Faculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton WV1 1LY, UK;
| | - Anastasia Bougea
- 1st Department of Neurology, Medical School, National and Kapodistrian University of Athens, Eginition Hospital, 11528 Athens, Greece; (E.A.); (E.S.); (A.B.); (D.K.); (S.F.); (C.K.)
| | - Dionysia Kontaxopoulou
- 1st Department of Neurology, Medical School, National and Kapodistrian University of Athens, Eginition Hospital, 11528 Athens, Greece; (E.A.); (E.S.); (A.B.); (D.K.); (S.F.); (C.K.)
| | - Stella Fragkiadaki
- 1st Department of Neurology, Medical School, National and Kapodistrian University of Athens, Eginition Hospital, 11528 Athens, Greece; (E.A.); (E.S.); (A.B.); (D.K.); (S.F.); (C.K.)
| | - Christos Koros
- 1st Department of Neurology, Medical School, National and Kapodistrian University of Athens, Eginition Hospital, 11528 Athens, Greece; (E.A.); (E.S.); (A.B.); (D.K.); (S.F.); (C.K.)
| | | | - George Fotakopoulos
- Department of Neurosurgery, General University Hospital of Larissa, 41221 Larissa, Greece;
| | - Yiannis Koutedakis
- Functional Architecture of Mammals in Their Environment Laboratory, Department of Physical Education and Sport Science, University of Thessaly, 38221 Volos, Greece;
| | - Christina Piperi
- Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece;
| | - Sokratis G. Papageorgiou
- 1st Department of Neurology, Medical School, National and Kapodistrian University of Athens, Eginition Hospital, 11528 Athens, Greece; (E.A.); (E.S.); (A.B.); (D.K.); (S.F.); (C.K.)
| |
Collapse
|
6
|
Angelopoulou E, Bougea A, Paudel YN, Georgakopoulou VE, Papageorgiou SG, Piperi C. Genetic Insights into the Molecular Pathophysiology of Depression in Parkinson's Disease. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:1138. [PMID: 37374342 DOI: 10.3390/medicina59061138] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 06/05/2023] [Accepted: 06/10/2023] [Indexed: 06/29/2023]
Abstract
Background and Objectives: Parkinson's disease (PD) is a clinically heterogeneous disorder with poorly understood pathological contributing factors. Depression presents one of the most frequent non-motor PD manifestations, and several genetic polymorphisms have been suggested that could affect the depression risk in PD. Therefore, in this review we have collected recent studies addressing the role of genetic factors in the development of depression in PD, aiming to gain insights into its molecular pathobiology and enable the future development of targeted and effective treatment strategies. Materials and Methods: we have searched PubMed and Scopus databases for peer-reviewed research articles published in English (pre-clinical and clinical studies as well as relevant reviews and meta-analyses) investigating the genetic architecture and pathophysiology of PD depression. Results: in particular, polymorphisms in genes related to the serotoninergic pathway (sodium-dependent serotonin transporter gene, SLC6A4, tryptophan hydrolase-2 gene, TPH2), dopamine metabolism and neurotransmission (dopamine receptor D3 gene, DRD3, aldehyde dehydrogenase 2 gene, ALDH2), neurotrophic factors (brain-derived neurotrophic factor gene, BDNF), endocannabinoid system (cannabinoid receptor gene, CNR1), circadian rhythm (thyrotroph embryonic factor gene, TEF), the sodium-dependent neutral amino acid transporter B(0)AT2 gene, SLC6A15), and PARK16 genetic locus were detected as altering susceptibility to depression among PD patients. However, polymorphisms in the dopamine transporter gene (SLC6A3), monoamine oxidase A (MAOA) and B (MAOB) genes, catechol-O-methyltransferase gene (COMT), CRY1, and CRY2 have not been related to PD depression. Conclusions: the specific mechanisms underlying the potential role of genetic diversity in PD depression are still under investigation, however, there is evidence that they may involve neurotransmitter imbalance, mitochondrial impairment, oxidative stress, and neuroinflammation, as well as the dysregulation of neurotrophic factors and their downstream signaling pathways.
Collapse
Affiliation(s)
- Efthalia Angelopoulou
- Department of Neurology, Eginition University Hospital, National and Kapodistrian University of Athens, 11528 Athens, Greece
- Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, 75 M. Asias Street, 11527 Athens, Greece
| | - Anastasia Bougea
- Department of Neurology, Eginition University Hospital, National and Kapodistrian University of Athens, 11528 Athens, Greece
| | - Yam Nath Paudel
- Neuropharmacology Research Laboratory, Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Bandar Sunway, Subang Jaya 46150, Selangor, Malaysia
| | | | - Sokratis G Papageorgiou
- Department of Neurology, Eginition University Hospital, National and Kapodistrian University of Athens, 11528 Athens, Greece
| | - Christina Piperi
- Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, 75 M. Asias Street, 11527 Athens, Greece
| |
Collapse
|
7
|
Chen J, Zhao D, Wang Q, Chen J, Bai C, Li Y, Guo X, Chen B, Zhang L, Yuan J. Predictors of cognitive impairment in newly diagnosed Parkinson's disease with normal cognition at baseline: A 5-year cohort study. Front Aging Neurosci 2023; 15:1142558. [PMID: 36926634 PMCID: PMC10011149 DOI: 10.3389/fnagi.2023.1142558] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 02/10/2023] [Indexed: 03/08/2023] Open
Abstract
Background and objective Cognitive impairment (CI) is a substantial contributor to the disability associated with Parkinson's disease (PD). We aimed to assess the clinical features and explore the underlying biomarkers as predictors of CI in patients with newly diagnosed PD (NDPD; less than 2 years). Methods We evaluated the cognitive function status using the Montreal Cognitive Assessment (MoCA) and a battery of neuropsychological tests at baseline and subsequent annual follow-up for 5 years from the Parkinson's Progression Markers Initiative (PPMI) database. We assessed the baseline clinical features, apolipoprotein (APO) E status, β-glucocerebrosidase (GBA) mutation status, cerebrospinal fluid findings, and dopamine transporter imaging results. Using a diagnosis of CI (combined mild cognitive impairment and dementia) developed during the 5-year follow-up as outcome measures, we assessed the predictive values of baseline clinical variables and biomarkers. We also constructed a predictive model for the diagnosis of CI using logistic regression analysis. Results A total of 409 patients with NDPD with 5-year follow-up were enrolled, 232 with normal cognitive function at baseline, and 94 patients developed CI during the 5-year follow-up. In multivariate analyses, age, current diagnosis of hypertension, baseline MoCA scores, Movement disorder society Unified PD Rating Scale part III (MDS-UPDRS III) scores, and APOE status were associated with the development of CI. Predictive accuracy of CI using age alone improved by the addition of clinical variables and biomarkers (current diagnosis of hypertension, baseline MoCA scores, and MDS-UPDRS III scores, APOE status; AUC 0.80 [95% CI 0.74-0.86] vs. 0.71 [0.64-0.77], p = 0.008). Cognitive domains that had higher frequencies of impairment were found in verbal memory (12.6 vs. 16.8%) and attention/processing speed (12.7 vs. 16.9%), however, no significant difference in the prevalence of CI at annual follow-up was found during the 5-year follow-up in NDPD patients. Conclusion In NDPD, the development of CI during the 5-year follow-up can be predicted with good accuracy using a model combining age, current diagnosis of hypertension, baseline MoCA scores, MDS-UPDRS III scores, and APOE status. Our study underscores the need for the earlier identification of CI in NDPD patients in our clinical practice.
Collapse
Affiliation(s)
- Jing Chen
- Department of Neurology, Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Danhua Zhao
- Department of Neurology, Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Qi Wang
- Department of Neurology, Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Junyi Chen
- Department of Neurology, Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Chaobo Bai
- Department of Neurology, Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Yuan Li
- Department of Neurology, Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Xintong Guo
- Department of Neurology, Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Baoyu Chen
- Department of Neurology, Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Lin Zhang
- Department of Neurology and Neurological Surgery, UC Davis Deep Brain Stimulation (DBS), Sacramento, CA, United States
| | - Junliang Yuan
- Department of Neurology, Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| |
Collapse
|
8
|
Okubadejo NU, Okunoye O, Ojo OO, Arabambi B, Akinyemi RO, Osaigbovo GO, Abubakar SA, Iwuozo EU, Wahab KW, Agabi OP, Agulanna U, Imarhiagbe FA, Abiodun OV, Achoru CO, Adebowale AA, Adeniji O, Akpekpe JE, Ali MW, Ani-Osheku I, Arigbodi O, Balarabe SA, Bello AH, Ekenze OS, Erameh CO, Farombi TH, Fawale MB, Komolafe MA, Nwani PO, Nwazor EO, Nyandaiti Y, Obehighe EE, Obiabo YO, Odeniyi OA, Odiase FE, Ojini FI, Onwuegbuzie GA, Osemwegie N, Oshinaike OO, Otubogun FM, Oyakhire SI, Taiwo FT, Williams UE, Ozomma S, Zubair Y, Hernandez D, Bandres-Ciga S, Blauwendraat C, Singleton A, Houlden H, Hardy J, Rizig M. APOE E4 is associated with impaired self-declared cognition but not disease risk or age of onset in Nigerians with Parkinson's disease. NPJ Parkinsons Dis 2022; 8:155. [PMID: 36371506 PMCID: PMC9653490 DOI: 10.1038/s41531-022-00411-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 10/11/2022] [Indexed: 11/15/2022] Open
Abstract
The relationship between APOE polymorphisms and Parkinson's disease (PD) in black Africans has not been previously investigated. We evaluated the association between APOE polymorphic variability and self-declared cognition in 1100 Nigerians with PD and 1097 age-matched healthy controls. Cognition in PD was assessed using the single item cognition question (item 1.1) of the MDS-UPDRS. APOE genotype and allele frequencies did not differ between PD and controls (p > 0.05). No allelic or genotypic association was observed between APOE and age at onset of PD. In PD, APOE ε4/ε4 conferred a two-fold risk of cognitive impairment compared to one or no ε4 (HR: 2.09 (95% CI: 1.13-3.89; p = 0.02)), while APOE ε2 was associated with modest protection against cognitive impairment (HR: 0.41 (95% CI 0.19-0.99, p = 0.02)). Of 773 PD with motor phenotype and APOE characterized, tremor-dominant (TD) phenotype predominated significantly in ε2 carriers (87/135, 64.4%) compared to 22.2% in persons with postural instability/gait difficulty (PIGD) (30/135) and 13.3% in indeterminate (ID) (18/135, 13.3%) (p = 0.037). Although the frequency of the TD phenotype was highest in homozygous ε2 carriers (85.7%), the distribution of motor phenotypes across the six genotypes did not differ significantly (p = 0.18). Altogether, our findings support previous studies in other ethnicities, implying a role for APOE ε4 and ε2 as risk and protective factors, respectively, for cognitive impairment in PD.
Collapse
Affiliation(s)
- Njideka U Okubadejo
- Neurology Unit, Department of Medicine, Faculty of Clinical Sciences, College of Medicine, University of Lagos, Idi-Araba, Lagos State, Nigeria.
- Neurology Unit, Department of Medicine, Lagos University Teaching Hospital, Idi-Araba, Lagos State, Nigeria.
| | - Olaitan Okunoye
- Department of Molecular Neuroscience, University College London Institute of Neurology, Queen Square, London, UK
| | - Oluwadamilola O Ojo
- Neurology Unit, Department of Medicine, Faculty of Clinical Sciences, College of Medicine, University of Lagos, Idi-Araba, Lagos State, Nigeria
- Neurology Unit, Department of Medicine, Lagos University Teaching Hospital, Idi-Araba, Lagos State, Nigeria
| | - Babawale Arabambi
- School of Population and Public Health, The University of British Columbia, Vancouver, BC, Canada
| | - Rufus O Akinyemi
- Institute for Advanced Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Oyo State, Nigeria
| | | | - Sani A Abubakar
- Department of Medicine, Ahmadu Bello University Teaching Hospital, Zaria, Kaduna State, Nigeria
| | - Emmanuel U Iwuozo
- Neurology Unit, Benue State University & Benue State University Teaching Hospital, Makurdi, Benue State, Nigeria
| | - Kolawole W Wahab
- Department of Medicine, University of Ilorin & University of Ilorin Teaching Hospital, Ilorin, Kwara State, Nigeria
| | - Osigwe P Agabi
- Neurology Unit, Department of Medicine, Faculty of Clinical Sciences, College of Medicine, University of Lagos, Idi-Araba, Lagos State, Nigeria
- Neurology Unit, Department of Medicine, Lagos University Teaching Hospital, Idi-Araba, Lagos State, Nigeria
| | - Uchechi Agulanna
- Neurology Unit, Department of Medicine, Lagos University Teaching Hospital, Idi-Araba, Lagos State, Nigeria
| | - Frank A Imarhiagbe
- University of Benin & University of Benin Teaching Hospital, Benin City, Edo State, Nigeria
| | | | | | - Akintunde A Adebowale
- Neurology Unit, Department of Medicine, Obafemi Awolowo University & Obafemi Awolowo University Teaching Hospitals Complex, Ile-Ife, Osun State, Nigeria
| | | | | | | | - Ifeyinwa Ani-Osheku
- Asokoro District Hospital, Asokoro, Abuja, Federal Capital Territory, Nigeria
| | - Ohwotemu Arigbodi
- Department of Internal Medicine, Delta State University Teaching Hospital, Oghara, Delta State, Nigeria
| | - Salisu A Balarabe
- Department of Medicine, College of Health Sciences, Usmanu Danfodiyo University & Usmanu Danfodiyo University Teaching Hospital, Sokoto, Sokoto State, Nigeria
| | - Abiodun H Bello
- Department of Medicine, University of Ilorin Teaching Hospital, Ilorin, Kwara State, Nigeria
| | - Oluchi S Ekenze
- Neurology Unit, Department of Medicine, Faculty of Medical Sciences, University of Nigeria & University of Nigeria Teaching Hospital, Ituku Ozalla, Enugu State, Nigeria
| | | | - Temitope H Farombi
- Chief Tony Anenih Geriatrics Center, University College Hospital, Ibadan, Oyo State, Nigeria
| | - Michael B Fawale
- Neurology Unit, Department of Medicine, Obafemi Awolowo University & Obafemi Awolowo University Teaching Hospitals Complex, Ile-Ife, Osun State, Nigeria
| | - Morenikeji A Komolafe
- Neurology Unit, Department of Medicine, Obafemi Awolowo University & Obafemi Awolowo University Teaching Hospitals Complex, Ile-Ife, Osun State, Nigeria
| | - Paul O Nwani
- Nnamdi Azikiwe University Teaching Hospital, Nnewi, Anambra State, Nigeria
| | - Ernest O Nwazor
- Department of Medicine, Madonna University College of Medical Sciences, Elele, Rivers State & Federal Medical Center, Owerri, Imo State, Nigeria
| | - Yakub Nyandaiti
- University of Maiduguri & University of Maiduguri Teaching Hospital, Maiduguri, Borno State, Nigeria
| | | | - Yahaya O Obiabo
- Department of Internal Medicine, Delta State University & Delta State University Teaching Hospital, Oghara, Delta State, Nigeria
| | | | - Francis E Odiase
- University of Benin & University of Benin Teaching Hospital, Benin City, Edo State, Nigeria
| | - Francis I Ojini
- Neurology Unit, Department of Medicine, Faculty of Clinical Sciences, College of Medicine, University of Lagos, Idi-Araba, Lagos State, Nigeria
- Neurology Unit, Department of Medicine, Lagos University Teaching Hospital, Idi-Araba, Lagos State, Nigeria
| | - Gerald A Onwuegbuzie
- University of Abuja & University of Abuja Teaching Hospital, Gwagwalada, Abuja, Federal Capital Territory, Nigeria
| | - Nosakhare Osemwegie
- University of Port Harcourt Teaching Hospital, Port Harcourt, Rivers State, Nigeria
| | - Olajumoke O Oshinaike
- Neurology Unit, Department of Medicine, Faculty of Clinical Sciences, Lagos State University College of Medicine, Ikeja, Lagos State, Nigeria
| | | | - Shyngle I Oyakhire
- Department of Internal Medicine, National Hospital, Abuja, Federal Capital Territory, Nigeria
| | - Funlola T Taiwo
- Department of Medicine, University College Hospital, Ibadan, Oyo State, Nigeria
| | - Uduak E Williams
- Department of Internal Medicine, University of Calabar/University of Calabar Teaching Hospital, Calabar, Cross Rivers State, Nigeria
| | - Simon Ozomma
- Department of Internal Medicine, University of Calabar/University of Calabar Teaching Hospital, Calabar, Cross Rivers State, Nigeria
| | - Yusuf Zubair
- Department of Internal Medicine, National Hospital, Abuja, Federal Capital Territory, Nigeria
| | - Dena Hernandez
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Sara Bandres-Ciga
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Center For Alzheimer's and Related Dementias, NIA, NIH, Bethesda, MD, USA
| | - Cornelis Blauwendraat
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Center For Alzheimer's and Related Dementias, NIA, NIH, Bethesda, MD, USA
| | - Andrew Singleton
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Center For Alzheimer's and Related Dementias, NIA, NIH, Bethesda, MD, USA
| | - Henry Houlden
- Department of Neuromuscular Disease, UCL Queen Square Institute of Neurology and The National Hospital for Neurology and Neurosurgery, London, UK
- Neurogenetics Laboratory, UCL Queen Square Institute of Neurology and The National Hospital for Neurology and Neurosurgery, London, UK
| | - John Hardy
- Department of Molecular Neuroscience, University College London Institute of Neurology, Queen Square, London, UK
| | - Mie Rizig
- Department of Molecular Neuroscience, University College London Institute of Neurology, Queen Square, London, UK
| |
Collapse
|
9
|
Huq AJ, Thompson B, Bennett MF, Bournazos A, Bommireddipalli S, Gorelik A, Schultz J, Sexton A, Purvis R, West K, Cotter M, Valente G, Hughes A, Riaz M, Walsh M, Farrand S, Loi SM, Kilpatrick T, Brodtmann A, Darby D, Eratne D, Walterfang M, Delatycki MB, Storey E, Fahey M, Cooper S, Lacaze P, Masters CL, Velakoulis D, Bahlo M, James PA, Winship I. Clinical impact of whole-genome sequencing in patients with early-onset dementia. J Neurol Neurosurg Psychiatry 2022; 93:jnnp-2021-328146. [PMID: 35906014 DOI: 10.1136/jnnp-2021-328146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 06/07/2022] [Indexed: 11/04/2022]
Abstract
BACKGROUND In the clinical setting, identification of the genetic cause in patients with early-onset dementia (EOD) is challenging due to multiple types of genetic tests required to arrive at a diagnosis. Whole-genome sequencing (WGS) has the potential to serve as a single diagnostic platform, due to its superior ability to detect common, rare and structural genetic variation. METHODS WGS analysis was performed in 50 patients with EOD. Point mutations, small insertions/deletions, as well as structural variants (SVs) and short tandem repeats (STRs), were analysed. An Alzheimer's disease (AD)-related polygenic risk score (PRS) was calculated in patients with AD. RESULTS Clinical genetic diagnosis was achieved in 7 of 50 (14%) of the patients, with a further 8 patients (16%) found to have established risk factors which may have contributed to their EOD. Two pathogenic variants were identified through SV analysis. No expanded STRs were found in this study cohort, but a blinded analysis with a positive control identified a C9orf72 expansion accurately. Approximately 37% (7 of 19) of patients with AD had a PRS equivalent to >90th percentile risk. DISCUSSION WGS acts as a single genetic test to identify different types of clinically relevant genetic variations in patients with EOD. WGS, if used as a first-line clinical diagnostic test, has the potential to increase the diagnostic yield and reduce time to diagnosis for EOD.
Collapse
Affiliation(s)
- Aamira J Huq
- Department of Genomic Medicine, Royal Melbourne Hospital City Campus, Parkville, Victoria, Australia
- Department of Clinical Genetics, Austin Health, Heidelberg, Victoria, Australia
- Department of Medicine, University of Melbourne, Parkville, Victoria, Australia
| | - Bryony Thompson
- Department of Genomic Medicine, Royal Melbourne Hospital City Campus, Parkville, Victoria, Australia
- Department of Pathology, Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Mark F Bennett
- Population Health and Immunity Division, Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia
| | - Adam Bournazos
- Institute for Neuroscience and Muscle Research, Children's Hospital at Westmead, Sydney, New South Wales, Australia
- The University of Sydney, Sydney, New South Wales, Australia
| | - Shobhana Bommireddipalli
- Institute for Neuroscience and Muscle Research, Children's Hospital at Westmead, Sydney, New South Wales, Australia
- The University of Sydney, Sydney, New South Wales, Australia
| | - Alexandra Gorelik
- Department of Medicine, University of Melbourne, Parkville, Victoria, Australia
| | - Joshua Schultz
- Department of Genomic Medicine, Royal Melbourne Hospital City Campus, Parkville, Victoria, Australia
| | - Adrienne Sexton
- Department of Genomic Medicine, Royal Melbourne Hospital City Campus, Parkville, Victoria, Australia
| | - Rebecca Purvis
- Department of Genomic Medicine, Royal Melbourne Hospital City Campus, Parkville, Victoria, Australia
| | - Kirsty West
- Department of Genomic Medicine, Royal Melbourne Hospital City Campus, Parkville, Victoria, Australia
| | - Megan Cotter
- Department of Clinical Genetics, Austin Health, Heidelberg, Victoria, Australia
| | - Giulia Valente
- Department of Clinical Genetics, Austin Health, Heidelberg, Victoria, Australia
| | - Andrew Hughes
- Department of Clinical Genetics, Austin Health, Heidelberg, Victoria, Australia
| | - Moeen Riaz
- Public Health and Preventative Medicine, Monash University Faculty of Medicine, Nursing and Health Sciences, Melbourne, Victoria, Australia
| | - Maie Walsh
- Department of Genomic Medicine, Royal Melbourne Hospital City Campus, Parkville, Victoria, Australia
| | - Sarah Farrand
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Samantha M Loi
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Trevor Kilpatrick
- Department of Medicine, University of Melbourne, Parkville, Victoria, Australia
| | - Amy Brodtmann
- Department of Medicine, University of Melbourne, Parkville, Victoria, Australia
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Heidelberg, Victoria, Australia
- Florey Neurosciences Institutes, University of Melbourne, Carlton South, Victoria, Australia
| | - David Darby
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Heidelberg, Victoria, Australia
- Mental Health Research Institute, University of Melbourne, Parkville, Victoria, Australia
| | - Dhamidhu Eratne
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Mark Walterfang
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | | | - Elsdon Storey
- Department of Genomic Medicine, Royal Melbourne Hospital City Campus, Parkville, Victoria, Australia
- Neuroscience, Alfred Health, Melbourne, Victoria, Australia
| | - Michael Fahey
- Royal Melbourne Hospital City Campus, Parkville, Victoria, Australia
| | - Sandra Cooper
- Institute for Neuroscience and Muscle Research, Children's Hospital at Westmead, Sydney, New South Wales, Australia
- The University of Sydney, Sydney, New South Wales, Australia
| | - Paul Lacaze
- Public Health and Preventative Medicine, Monash University Faculty of Medicine, Nursing and Health Sciences, Melbourne, Victoria, Australia
| | - Colin L Masters
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Dennis Velakoulis
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Melanie Bahlo
- Population Health and Immunity Division, Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia
| | - Paul A James
- Department of Genomic Medicine, Royal Melbourne Hospital City Campus, Parkville, Victoria, Australia
| | - Ingrid Winship
- Department of Genomic Medicine, Royal Melbourne Hospital City Campus, Parkville, Victoria, Australia
- Department of Medicine, University of Melbourne, Parkville, Victoria, Australia
| |
Collapse
|
10
|
Prange S, Klinger H, Laurencin C, Danaila T, Thobois S. Depression in Patients with Parkinson's Disease: Current Understanding of its Neurobiology and Implications for Treatment. Drugs Aging 2022; 39:417-439. [PMID: 35705848 PMCID: PMC9200562 DOI: 10.1007/s40266-022-00942-1] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/09/2022] [Indexed: 12/11/2022]
Abstract
Depression is one of the most frequent and burdensome non-motor symptoms in Parkinson’s disease (PD), across all stages. Even when its severity is mild, PD depression has a great impact on quality of life for these patients and their caregivers. Accordingly, accurate diagnosis, supported by validated scales, identification of risk factors, and recognition of motor and non-motor symptoms comorbid to depression are critical to understanding the neurobiology of depression, which in turn determines the effectiveness of dopaminergic drugs, antidepressants and non-pharmacological interventions. Recent advances using in vivo functional and structural imaging demonstrate that PD depression is underpinned by dysfunction of limbic networks and monoaminergic systems, depending on the stage of PD and its associated symptoms, including apathy, anxiety, rapid eye movement sleep behavior disorder (RBD), cognitive impairment and dementia. In particular, the evolution of serotonergic, noradrenergic, and dopaminergic dysfunction and abnormalities of limbic circuits across time, involving the anterior cingulate and orbitofrontal cortices, amygdala, thalamus and ventral striatum, help to delineate the variable expression of depression in patients with prodromal, early and advanced PD. Evidence is accumulating to support the use of dual serotonin and noradrenaline reuptake inhibitors (desipramine, nortriptyline, venlafaxine) in patients with PD and moderate to severe depression, while selective serotonin reuptake inhibitors, repetitive transcranial magnetic stimulation and cognitive behavioral therapy may also be considered. In all patients, recent findings advocate that optimization of dopamine replacement therapy and evaluation of deep brain stimulation of the subthalamic nucleus to improve motor symptoms represents an important first step, in addition to physical activity. Overall, this review indicates that increasing understanding of neurobiological changes help to implement a roadmap of tailored interventions for patients with PD and depression, depending on the stage and comorbid symptoms underlying PD subtypes and their prognosis.
Collapse
Affiliation(s)
- Stéphane Prange
- Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie C, Centre Expert Parkinson, NS-PARK/FCRIN Network, 59 Boulevard Pinel, 69500, Bron, France. .,Physiopathology of the Basal Ganglia Team, Univ Lyon, Institut des Sciences Cognitives Marc Jeannerod, CNRS, UMR 5229, 67 Boulevard Pinel, 69675, Bron, France. .,Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
| | - Hélène Klinger
- Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie C, Centre Expert Parkinson, NS-PARK/FCRIN Network, 59 Boulevard Pinel, 69500, Bron, France
| | - Chloé Laurencin
- Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie C, Centre Expert Parkinson, NS-PARK/FCRIN Network, 59 Boulevard Pinel, 69500, Bron, France.,Physiopathology of the Basal Ganglia Team, Univ Lyon, Institut des Sciences Cognitives Marc Jeannerod, CNRS, UMR 5229, 67 Boulevard Pinel, 69675, Bron, France
| | - Teodor Danaila
- Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie C, Centre Expert Parkinson, NS-PARK/FCRIN Network, 59 Boulevard Pinel, 69500, Bron, France.,Physiopathology of the Basal Ganglia Team, Univ Lyon, Institut des Sciences Cognitives Marc Jeannerod, CNRS, UMR 5229, 67 Boulevard Pinel, 69675, Bron, France
| | - Stéphane Thobois
- Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie C, Centre Expert Parkinson, NS-PARK/FCRIN Network, 59 Boulevard Pinel, 69500, Bron, France. .,Physiopathology of the Basal Ganglia Team, Univ Lyon, Institut des Sciences Cognitives Marc Jeannerod, CNRS, UMR 5229, 67 Boulevard Pinel, 69675, Bron, France. .,Faculté de Médecine et de Maïeutique Lyon Sud Charles Mérieux, Univ Lyon, Université Claude Bernard Lyon 1, Oullins, France.
| |
Collapse
|
11
|
The emerging postural instability phenotype in idiopathic Parkinson disease. NPJ Parkinsons Dis 2022; 8:28. [PMID: 35304493 PMCID: PMC8933561 DOI: 10.1038/s41531-022-00287-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2020] [Accepted: 02/01/2022] [Indexed: 01/15/2023] Open
Abstract
Identification of individuals at high risk for rapid progression of motor and cognitive signs in Parkinson disease (PD) is clinically significant. Postural instability and gait dysfunction (PIGD) are associated with greater motor and cognitive deterioration. We examined the relationship between baseline clinical factors and the development of postural instability using 5-year longitudinal de-novo idiopathic data (n = 301) from the Parkinson’s Progressive Markers Initiative (PPMI). Logistic regression analysis revealed baseline features associated with future postural instability, and we designated this cohort the emerging postural instability (ePI) phenotype. We evaluated the resulting ePI phenotype rating scale validity in two held-out populations which showed a significantly higher risk of postural instability. Emerging PI phenotype was identified before onset of postural instability in 289 of 301 paired comparisons, with a median progression time of 972 days. Baseline cognitive performance was similar but declined more rapidly in ePI phenotype. We provide an ePI phenotype rating scale (ePIRS) for evaluation of individual risk at baseline for progression to postural instability.
Collapse
|
12
|
Oedekoven C, Egeri L, Jessen F, Wagner M, Dodel R. Subjective cognitive decline in idiopathic Parkinson´s disease: A systematic review. Ageing Res Rev 2022; 74:101508. [PMID: 34740867 DOI: 10.1016/j.arr.2021.101508] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 10/23/2021] [Accepted: 10/29/2021] [Indexed: 12/31/2022]
Abstract
Cognitive symptoms of Parkinson's disease (PD) have been long underestimated, but are some of the most disabling non-motor features of the disease. In order to establish signs that allow for earlier detection of cognitive decline in PD, the concept of `subjective cognitive decline´ (SCD) has gained a growing interest. SCD refers to patients who report a decline in subjective cognitive capacities, while their results on neuropsychological tests are within the normal performance range, indicating adequate cognitive functions. The aim of this review was to evaluate the concept of SCD in PD and give an overview of the current research. A systematic literature search in PubMed was performed to identify articles published before December 2020. We included 18 studies with a total of n = 2,654 patients. While there is currently no consensus on research or clinical criteria for SCD in PD, this review presents the accumulated evidence for SCD in PD patients and supports the importance of early identification of cognitive deficits, due to the relatively high prevalence for SCD in PD and the added risk of future cognitive impairment it entails. The publications included in this review indicate that SCD may be part of the PD spectrum but further research is needed. Expanding research on SCD in PD will allow for earlier detection of cognitive impairment and may foster preventive interventions.
Collapse
Affiliation(s)
- Christiane Oedekoven
- Chair of Geriatric Medicine, University Duisburg-Essen, Center for Translational Neurological and Behavioural Research, University Hospital, University Duisburg-Essen, Germany
| | - Leonie Egeri
- Chair of Geriatric Medicine, University Duisburg-Essen, Center for Translational Neurological and Behavioural Research, University Hospital, University Duisburg-Essen, Germany
| | - Frank Jessen
- Department of Psychiatry, University of Cologne Medical Faculty, Cologne, Germany; DZNE, German Center for Neurodegenerative Diseases, Bonn/Cologne, Germany
| | - Michael Wagner
- DZNE, German Center for Neurodegenerative Diseases, Bonn/Cologne, Germany; Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Germany
| | - Richard Dodel
- Chair of Geriatric Medicine, University Duisburg-Essen, Center for Translational Neurological and Behavioural Research, University Hospital, University Duisburg-Essen, Germany.
| |
Collapse
|
13
|
Maraki MI, Hatzimanolis A, Mourtzi N, Stefanis L, Yannakoulia M, Kosmidis MH, Dardiotis E, Hadjigeorgiou GM, Sakka P, Ramirez A, Grenier-Boley B, Lambert JC, Heilmann-Heimbach S, Stamelou M, Scarmeas N, Xiromerisiou G. Association of the Polygenic Risk Score With the Probability of Prodromal Parkinson's Disease in Older Adults. Front Mol Neurosci 2022; 14:739571. [PMID: 34992521 PMCID: PMC8724535 DOI: 10.3389/fnmol.2021.739571] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2021] [Accepted: 11/29/2021] [Indexed: 12/19/2022] Open
Abstract
Several studies have investigated the association of the Parkinson’s disease (PD) polygenic risk score (PRS) with several aspects of well-established PD. We sought to evaluate the association of PRS with the prodromal stage of PD. We calculated PRS in a longitudinal sample (n = 1120) of community dwelling individuals ≥ 65 years from the HELIAD (The Hellenic Longitudinal Investigation of Aging and Diet) study in order to evaluate the association of this score with the probability of prodromal PD or any of the established risk and prodromal markers in MDS research criteria, using regression multi-adjusted models. Increases in PRS estimated from GWAS summary statistics’ ninety top SNPS with p < 5 × 10–8 was associated with increased odds of having probable/possible prodromal PD (i.e., ≥ 30% probability, OR = 1.033, 95%CI: 1.009–1.057 p = 0.006). From the prodromal PD risk markers, significant association was found between PRS and global cognitive deficit exclusively (p = 0.003). To our knowledge, our study is the first population based study investigating the association between PRS scores and prodromal markers of Parkinson’s disease. Our results suggest a strong relationship between the accumulation of many common genetic variants, as measured by PRS, and cognitive deficits.
Collapse
Affiliation(s)
- Maria I Maraki
- Section of Sport Medicine and Biology of Exercise, School of Physical Education and Sport Science, National and Kapodistrian University of Athens, Athens, Greece.,Department of Nutrition and Dietetics, School of Health Sciences, Hellenic Mediterranean University, Crete, Greece
| | - Alexandros Hatzimanolis
- Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece.,Neurobiology Research Institute, Theodor-Theohari Cozzika Foundation, Athens, Greece
| | - Niki Mourtzi
- First Department of Neurology, Eginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece
| | - Leonidas Stefanis
- First Department of Neurology, Eginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece.,Center of Clinical, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Mary Yannakoulia
- Department of Nutrition and Dietetics, School of Health Sciences, Hellenic Mediterranean University, Crete, Greece
| | - Mary H Kosmidis
- Laboratory of Cognitive Neuroscience, School of Psychology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | | | - Georgios M Hadjigeorgiou
- School of Medicine, University of Thessaly, Larissa, Greece.,Department of Neurology, Medical School, University of Cyprus, Nicosia, Cyprus
| | - Paraskevi Sakka
- Athens Association of Alzheimer's Disease and Related Disorders, Marousi, Greece
| | - Alfredo Ramirez
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.,Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany.,German Center for Neurodegenerative Diseases (DZNE Bonn), Bonn, Germany.,Department of Psychiatry and Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, San Antonio, TX, United States.,Department of Psychiatry and Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, San Antonio, TX, United States
| | - Benjamin Grenier-Boley
- INSERM, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE Facteurs de Risque et Determinants Moléculaires des Maladies Liées au Vieillissement, University of Lille, Lille, France
| | - Jean-Charles Lambert
- INSERM, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE Facteurs de Risque et Determinants Moléculaires des Maladies Liées au Vieillissement, University of Lille, Lille, France
| | - Stefanie Heilmann-Heimbach
- Institute of Human Genetics, School of Medicine and University Hospital Bonn, University of Bonn, Bonn, Germany
| | - Maria Stamelou
- First Department of Neurology, Eginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece.,Parkinson's Disease and Movement Disorders Department, HYGEIA Hospital, Athens, Greece
| | - Nikolaos Scarmeas
- First Department of Neurology, Eginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece.,Taub Institute for Research in Alzheimer's Disease and the Aging Brain, The Gertrude H. Sergievsky Center, Department of Neurology, Columbia University, New York, NY, United States
| | | |
Collapse
|
14
|
Jellinger KA. The pathobiological basis of depression in Parkinson disease: challenges and outlooks. J Neural Transm (Vienna) 2022; 129:1397-1418. [PMID: 36322206 PMCID: PMC9628588 DOI: 10.1007/s00702-022-02559-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 10/20/2022] [Indexed: 11/06/2022]
Abstract
Depression, with an estimated prevalence of about 40% is a most common neuropsychiatric disorder in Parkinson disease (PD), with a negative impact on quality of life, cognitive impairment and functional disability, yet the underlying neurobiology is poorly understood. Depression in PD (DPD), one of its most common non-motor symptoms, can precede the onset of motor symptoms but can occur at any stage of the disease. Although its diagnosis is based on standard criteria, due to overlap with other symptoms related to PD or to side effects of treatment, depression is frequently underdiagnosed and undertreated. DPD has been related to a variety of pathogenic mechanisms associated with the underlying neurodegenerative process, in particular dysfunction of neurotransmitter systems (dopaminergic, serotonergic and noradrenergic), as well as to disturbances of cortico-limbic, striato-thalamic-prefrontal, mediotemporal-limbic networks, with disruption in the topological organization of functional mood-related, motor and other essential brain network connections due to alterations in the blood-oxygen-level-dependent (BOLD) fluctuations in multiple brain areas. Other hypothetic mechanisms involve neuroinflammation, neuroimmune dysregulation, stress hormones, neurotrophic, toxic or metabolic factors. The pathophysiology and pathogenesis of DPD are multifactorial and complex, and its interactions with genetic factors, age-related changes, cognitive disposition and other co-morbidities awaits further elucidation.
Collapse
Affiliation(s)
- Kurt A. Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, 1150 Vienna, Austria
| |
Collapse
|
15
|
Jabeen K, Rehman K, Akash MSH. Genetic mutations of APOEε4 carriers in cardiovascular patients lead to the development of insulin resistance and risk of Alzheimer's disease. J Biochem Mol Toxicol 2021; 36:e22953. [PMID: 34757642 DOI: 10.1002/jbt.22953] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 10/11/2021] [Accepted: 11/01/2021] [Indexed: 12/19/2022]
Abstract
Type 2 diabetes mellitus and Alzheimer's disease (AD), both are chronic and progressive diseases. Many cardiovascular and genetic risk factors are considered responsible for the development of AD and diabetes mellitus (DM). Genetic risk factor such as apolipoprotein E (APOE) plays a critical role in the progression of AD. Specifically, APOEε4 is genetically the strongest isoform associated with neuronal insulin deficiency, altered lipid homeostasis, and metabolism, decreased glucose uptake, impaired gray matter volume, and cerebrovascular functions. In this article, we have summarized the mechanisms of cardiovascular disturbances associated with AD and DM, impact of amyloid-β aggregation, and neurofibrillary tangles formation in AD. Moreover, cardiovascular risk factors leading to insulin resistance (IR) and amyloid-β aggregation are highlighted along with the effects of APOE risk alleles on cerebral, lipid, and cholesterol metabolism leading to CVD-mediated IR. Correspondingly, the contribution of IR, genetic and cardiovascular risk factors in amyloid-β aggregation, which may lead to the late onset of AD and DM, has been also discussed. In short, IR is related to significantly lower cerebral glucose metabolism, which sequentially forecasts poorer memory performance. Hence, there will be more chances for neural glucose intolerance and impairment of cognitive function in cardiac patients, particularly APOEε4 carriers having IR. Hence, this review provides a better understanding of the corresponding crosstalk among different pathways. This will help to investigate the rational application of preventive measures against IR and cognitive dysfunction, specifically in APOEε4 carriers' cardio-metabolic patients.
Collapse
Affiliation(s)
- Komal Jabeen
- Department of Pharmacy, University of Agriculture, Faisalabad, Pakistan.,Institute of Physiology and Pharmacology, University of Agriculture, Faisalabad, Pakistan
| | - Kanwal Rehman
- Department of Pharmacy, University of Agriculture, Faisalabad, Pakistan
| | | |
Collapse
|
16
|
Huq AJ, Sexton A, Lacaze P, Masters CL, Storey E, Velakoulis D, James PA, Winship IM. Genetic testing in dementia-A medical genetics perspective. Int J Geriatr Psychiatry 2021; 36:1158-1170. [PMID: 33779003 DOI: 10.1002/gps.5535] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 02/15/2021] [Accepted: 02/26/2021] [Indexed: 01/11/2023]
Abstract
OBJECTIVE When a genetic cause is suspected in a person with dementia, it creates unique diagnostic and management challenges to the treating clinician. Many clinicians may be unaware of the practicalities surrounding genetic testing for their patients, such as when to test and what tests to use and how to counsel patients and their families. This review was conducted to provide guidance to clinicians caring for patients with dementia regarding clinically relevant genetics. METHODS We searched PubMed for studies that involved genetics of dementia up to March 2020. Patient file reviews were also conducted to create composite cases. RESULTS In addition to families where a strong Mendelian pattern of family history is seen, people with younger age of onset, especially before the age of 65 years were found to be at an increased risk of harbouring a genetic cause for their dementia. This review discusses some of the most common genetic syndromes, including Alzheimer disease, frontotemporal dementia, vascular dementia, Parkinson disease dementia/dementia with Lewy bodies and some rarer types of genetic dementias, along with illustrative clinical case studies. This is followed by a brief review of the current genetic technologies and a discussion on the unique genetic counselling issues in dementia. CONCLUSIONS Inclusion of genetic testing in the diagnostic pathway in some patients with dementia could potentially reduce the time taken to diagnose the cause of their dementia. Although a definite advantage as an addition to the diagnostic repository, genetic testing has many pros and cons which need to be carefully considered first.
Collapse
Affiliation(s)
- Aamira J Huq
- Department of Genomic Medicine, The Royal Melbourne Hospital, Parkville, Victoria, Australia.,Department of Medicine, Faculty of Medicine Dentistry and Health Sciences, University of Melbourne, Parkville, Victoria, Australia
| | - Adrienne Sexton
- Department of Genomic Medicine, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Paul Lacaze
- Department of Genomic Medicine, The Royal Melbourne Hospital, Parkville, Victoria, Australia.,Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, The Alfred Centre, Melbourne, Victoria, Australia
| | - Colin L Masters
- Neurosciences, The Florey Institute, The University of Melbourne, Parkville, Victoria, Australia
| | - Elsdon Storey
- Department of Genomic Medicine, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Dennis Velakoulis
- Department of Neuropsychiatry, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Paul A James
- Department of Genomic Medicine, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Ingrid M Winship
- Department of Genomic Medicine, The Royal Melbourne Hospital, Parkville, Victoria, Australia.,Department of Medicine, Faculty of Medicine Dentistry and Health Sciences, University of Melbourne, Parkville, Victoria, Australia
| |
Collapse
|
17
|
Aarsland D, Batzu L, Halliday GM, Geurtsen GJ, Ballard C, Ray Chaudhuri K, Weintraub D. Parkinson disease-associated cognitive impairment. Nat Rev Dis Primers 2021; 7:47. [PMID: 34210995 DOI: 10.1038/s41572-021-00280-3] [Citation(s) in RCA: 397] [Impact Index Per Article: 132.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/27/2021] [Indexed: 02/08/2023]
Abstract
Parkinson disease (PD) is the second most common neurodegenerative disorder, affecting >1% of the population ≥65 years of age and with a prevalence set to double by 2030. In addition to the defining motor symptoms of PD, multiple non-motor symptoms occur; among them, cognitive impairment is common and can potentially occur at any disease stage. Cognitive decline is usually slow and insidious, but rapid in some cases. Recently, the focus has been on the early cognitive changes, where executive and visuospatial impairments are typical and can be accompanied by memory impairment, increasing the risk for early progression to dementia. Other risk factors for early progression to dementia include visual hallucinations, older age and biomarker changes such as cortical atrophy, as well as Alzheimer-type changes on functional imaging and in cerebrospinal fluid, and slowing and frequency variation on EEG. However, the mechanisms underlying cognitive decline in PD remain largely unclear. Cortical involvement of Lewy body and Alzheimer-type pathologies are key features, but multiple mechanisms are likely involved. Cholinesterase inhibition is the only high-level evidence-based treatment available, but other pharmacological and non-pharmacological strategies are being tested. Challenges include the identification of disease-modifying therapies as well as finding biomarkers to better predict cognitive decline and identify patients at high risk for early and rapid cognitive impairment.
Collapse
Affiliation(s)
- Dag Aarsland
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. .,Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway.
| | - Lucia Batzu
- Parkinson's Foundation Centre of Excellence, King's College Hospital and Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Glenda M Halliday
- Brain and Mind Centre and Faculty of Medicine and Health School of Medical Sciences, University of Sydney, Sydney, New South Wales, Australia
| | - Gert J Geurtsen
- Amsterdam UMC, University of Amsterdam, Department of Medical Psychology, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | | | - K Ray Chaudhuri
- Parkinson's Foundation Centre of Excellence, King's College Hospital and Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Daniel Weintraub
- Departments of Psychiatry and Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.,Parkinson's Disease Research, Education and Clinical Center (PADRECC), Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
| |
Collapse
|
18
|
Association of BST1 polymorphism with idiopathic restless legs syndrome in Chinese population. Sleep Breath 2021; 25:1987-1993. [PMID: 33625657 DOI: 10.1007/s11325-021-02326-y] [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: 11/22/2020] [Revised: 02/07/2021] [Accepted: 02/12/2021] [Indexed: 10/22/2022]
Abstract
BACKGROUND Parkinson's disease (PD) and restless legs syndrome/Willis-Ekbom disease (RLS/WED) are both common movement disorders. Based on their clinical overlap, association studies of PD and RLS/WED have been conducted for many years. OBJECTIVE To investigate whether or not the genetic risk factor of PD was also associated with RLS/WED. SUBJECTS AND METHODS We included 102 idiopathic RLS/WED patients and 189 matched controls from southeast China. The clinical data included the International Restless Legs Syndrome Study Group Rating Scale, the subtypes of RLS/WED symptoms (painful or other discomfort), the comorbidities, the pregnancy history of female patients, the Hamilton Depression Scale (HAMD), and the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Risk gene analysis between RLS/WED and control groups including 21 SNPs (single nucleotide polymorphisms) was conducted. Genotyping was done by Sanger sequencing. RESULTS We found that rs4273468 polymorphism of BST1 gene increased the risk of idiopathic RLS/WED patients in southeastern Chinese population (P = <0.001, OR = 2.85, p = 0.019 after Bonferroni correction). Moreover, the haplotype of G-G (rs4698412-rs4273468) was significantly associated with Chinese RLS/WED patients (p = <0.001). CONCLUSION BST1 may contribute to the development of RLS/WED. Further studies on larger cohorts are needed to confirm these findings.
Collapse
|
19
|
Xie S, Yu L, Zhou M, Liu L, Lei D, Han C. Association between BDNF rs6265 polymorphisms and postoperative cognitive dysfunction in Chinese Han Population. Brain Behav 2020; 10:e01800. [PMID: 33405375 PMCID: PMC7559622 DOI: 10.1002/brb3.1800] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 07/15/2020] [Accepted: 07/21/2020] [Indexed: 12/17/2022] Open
Abstract
INTRODUCTION Brain-derived neurotrophic factor (BDNF) plays a critical role in the pathogenesis of postoperative cognitive dysfunction (POCD). In present study, we aimed to assess the possible association between POCD and BDNF rs6265 polymorphisms. METHODS 124 patients aged 60 years or older scheduled for elective surgery under general anesthesia and 25 age- and gender-matched healthy volunteers were recruited. POCD was identified using a neuropsychological test battery administered preoperatively, 7 days, and 3 months after surgery. Genotyping of rs6265 was performed using polymerase chain reaction amplification and restriction fragment length polymorphism analysis. RESULTS 99 patients and 25 healthy controls were finally enrolled in the analysis. 29(29.3%) and 18(18.2%) of 99 patients had POCD at 7 days and 3 months after surgery, respectively. The patients carrying a G allele at the rs6265 locus showed a lower risk for POCD than an A allele carriers on postoperative 7 days, but not 3 months after surgery (OR = 0.67; 95% CI: 0.47-0.96; p = .017; OR = 0.69; 95% CI: 0.42-1.13; p = .14, respectively). The risk of POCD at 7 days following surgery was significantly lower in additive model (OR = 0.41; 95% CI: 0.2-0.84; p = .015) and dominant model (OR = 0.35; 95% CI: 0.13-0.96; p = .042). CONCLUSION We tentatively demonstrate that BDNF rs6265 polymorphisms might be associated with occurrence of POCD at 7 days after surgery and the A > G mutant at the rs6265 locus be likely a protective factor for early POCD in Chinese Han population.
Collapse
Affiliation(s)
- Songhui Xie
- Department of Anesthesiology, The Affiliated Yixing Hospital of Jiangsu University, Yixing, China
| | - Lu Yu
- Department of Anesthesiology, The Affiliated Yixing Hospital of Jiangsu University, Yixing, China.,Yixing Clinical College, Medical College of Yangzhou University, Yixing, China
| | - Mingming Zhou
- Department of Anesthesiology, The Affiliated Yixing Hospital of Jiangsu University, Yixing, China.,Yixing Clinical College, Medical College of Yangzhou University, Yixing, China
| | - Li Liu
- Department of Anesthesiology, The Affiliated Yixing Hospital of Jiangsu University, Yixing, China.,Yixing Clinical College, Medical College of Yangzhou University, Yixing, China
| | - Daoyun Lei
- Department of Anesthesiology, The Affiliated Yixing Hospital of Jiangsu University, Yixing, China
| | - Chao Han
- Department of Anesthesiology, The Affiliated Yixing Hospital of Jiangsu University, Yixing, China.,Yixing Clinical College, Medical College of Yangzhou University, Yixing, China
| |
Collapse
|
20
|
Jiang Z, Huang Y, Zhang P, Han C, Lu Y, Mo Z, Zhang Z, Li X, Zhao S, Cai F, Huang L, Chen C, Shi Z, Zhang Y, Ling F. Characterization of a pathogenic variant in GBA for Parkinson's disease with mild cognitive impairment patients. Mol Brain 2020; 13:102. [PMID: 32641146 PMCID: PMC7346430 DOI: 10.1186/s13041-020-00637-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Accepted: 06/18/2020] [Indexed: 12/15/2022] Open
Abstract
Parkinson's disease (PD) is the second most common neurodegenerative disease, and mild cognitive impairment (MCI) is a well-established risk factor for the development of dementia in PD. A growing body of evidence suggests that low expression of glucocerebrosidase (GBA) promotes the transmission of α-synuclein (α-Syn) interpolymers and the progression of PD. However, how GBA mutations affect the pathogenesis of PD via abnormal aggregation of α-Syn is unclear, and no clinically valid PD-MCI genetic markers have been identified. Here, we first located a GBA eQTL, rs12411216, by analysing DHS, eQTL SNP, and transcription factor binding site data using the UCSC database. Subsequently, we found that rs12411216 was significantly associated with PD-MCI (P < 0.05) in 306 PD patients by genotyping. In exploring the relationship between rs12411216 and GBA expression, the SNP was found to be associated with GBA expression in 50 PD patients through qPCR verification. In a further CRISPR/Cas9-mediated genome editing module, the SNP was identified to cause a decrease in GBA expression, weaken enzymatic activity and enhance the abnormal aggregation of α-Syn in SH-SY5Y cells. Additionally, using an electrophoretic mobility shift assay, we confirmed that the binding efficiency of transcription factor E2F4 was affected by the rs12411216 SNP. In conclusion, our results showed that rs12411216 regulated GBA expression, supporting its potential role as a PD-MCI genetic biomarker and highlighting novel mechanisms underlying Parkinson's disease.
Collapse
Affiliation(s)
- Zhiqiang Jiang
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China
| | - Yilin Huang
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China
| | - Piao Zhang
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No. 106. Zhongshan Er Road, Guangzhou, 510080, Guangdong Province, PR China
| | - Chongyin Han
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China
| | - Yueer Lu
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China
| | - Zongchao Mo
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China
| | - Zhanyu Zhang
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No. 106. Zhongshan Er Road, Guangzhou, 510080, Guangdong Province, PR China
| | - Xin Li
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China
| | - Sisi Zhao
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China
| | - Fuqiang Cai
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China
| | - Lizhen Huang
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China
| | - Chunbo Chen
- Department of emergency and critical medicine, Guangdong Provincial People's Hospital, No. 106. Zhongshan ErRoad, Guangzhou, 510080, Guangdong Province, PR China
| | - Zhihong Shi
- Tianjin Key Laboratory of Cerebrovascular and Neurodegenerative Diseases, Tianjin Dementia Institute, Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China.
| | - Yuhu Zhang
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No. 106. Zhongshan Er Road, Guangzhou, 510080, Guangdong Province, PR China.
| | - Fei Ling
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.
| |
Collapse
|
21
|
Identification of susceptibility loci for cognitive impairment in a cohort of Han Chinese patients with Parkinson's disease. Neurosci Lett 2020; 730:135034. [PMID: 32404250 DOI: 10.1016/j.neulet.2020.135034] [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: 03/05/2020] [Revised: 04/20/2020] [Accepted: 05/03/2020] [Indexed: 11/21/2022]
Abstract
Parkinson's disease (PD) is one of the most common neurodegenerative diseases. Identifying PD cognitive impairment (PDCI) in the early stage will help slow or prevent PD dementia. Susceptibility loci for PDCI are inconsistent in different studies. The aim of this study is to determine susceptibility loci for PDCI in the Han Chinese population. A total of 24 single nucleotide polymorphisms (SNPs) associated with PDCI were genotyped by Massarray system and Sanger sequencing in 158 PD patients and 275 healthy controls. Two SNPs (rs34778348 in LRRK2, rs78973108 in GBA) had different genotype distribution between PD and controls. None of risk SNPs was identified between PDCI and PD with normal cognition (PDNC). Aging and high Unified Parkinson's Disease Rating Scale (UPDRS) score were the independent risk factors for PDCI, rather than sex and SNPs. Our study showed that none of risk SNPs was identified to be significantly associated with cognitive decline of PD patients, indicating the effect of susceptibility loci on PDCI is subtle in the Han Chinese population.
Collapse
|
22
|
Brown EG, Chahine LM, Goldman SM, Korell M, Mann E, Kinel DR, Arnedo V, Marek KL, Tanner CM. The Effect of the COVID-19 Pandemic on People with Parkinson's Disease. JOURNAL OF PARKINSON'S DISEASE 2020; 10:1365-1377. [PMID: 32925107 PMCID: PMC7683050 DOI: 10.3233/jpd-202249] [Citation(s) in RCA: 103] [Impact Index Per Article: 25.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 08/17/2020] [Indexed: 12/22/2022]
Abstract
BACKGROUND The effect of the COVID-19 pandemic on people with Parkinson's disease (PD) is poorly understood. OBJECTIVE To rapidly identify areas of need and improve care in people with PD during the COVID-19 pandemic, we deployed a survey to assess COVID-19 symptoms and the pandemic's effect among those with and without COVID-19. METHODS People with and without PD participating in the online study Fox Insight (FI) were invited to complete a survey between April 23 and May 23, 2020. Among people reporting COVID-19 diagnoses, we compared symptoms and outcomes in people with and without PD. Among people not reporting COVID-19, we assessed access to healthcare and services and PD symptoms. RESULTS 7,209/9,762 active FI users responded (approximately 74% response rate), 5,429 people with PD and 1,452 without PD. COVID-19 diagnoses were reported by 51 people with and 26 without PD. Complications were more frequent in people with longer PD duration. People with PD and COVID-19 experienced new or worsening motor (63%) and nonmotor (75%) symptoms. People with PD not diagnosed with COVID-19 reported disrupted medical care (64%), exercise (21%), and social activities (57%), and worsened motor (43%) and non-motor (52%) symptoms. Disruptions were more common for those living alone, with lower income and non-White race. CONCLUSIONS The COVID-19 pandemic is associated with wide-ranging effects on people with PD, and certain groups may be at particular risk. FI provides a rapid, patient-centered means to assess these effects and identify needs that can be used to improve the health of people with PD.
Collapse
Affiliation(s)
- Ethan G. Brown
- Department of Neurology, Weill Institute for the Neurosciences, University of California San Francisco, & San Francisco VA Health Care System, San Francisco, CA, USA
| | - Lana M. Chahine
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Samuel M. Goldman
- Department of Occupational and Environmental Medicine, University of California San Francisco, & San Francisco VA Health Care System, San Francisco, CA, USA
| | - Monica Korell
- Department of Neurology, Weill Institute for the Neurosciences, University of California San Francisco, & San Francisco VA Health Care System, San Francisco, CA, USA
| | - Emerald Mann
- Department of Neurology, Weill Institute for the Neurosciences, University of California San Francisco, & San Francisco VA Health Care System, San Francisco, CA, USA
| | | | | | - Kenneth L. Marek
- The Institute for Neurodegenerative Disorders, New Haven, CT, USA
| | - Caroline M. Tanner
- Department of Neurology, Weill Institute for the Neurosciences, University of California San Francisco, & San Francisco VA Health Care System, San Francisco, CA, USA
| |
Collapse
|