952 results on '"Alcalay, Roy N."'
Search Results
2. Are rare heterozygous SYNJ1 variants associated with Parkinson’s disease?
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Senkevich, Konstantin, Parlar, Sitki Cem, Chantereault, Cloe, Yu, Eric, Ahmad, Jamil, Ruskey, Jennifer A., Asayesh, Farnaz, Spiegelman, Dan, Waters, Cheryl, Monchi, Oury, Dauvilliers, Yves, Dupré, Nicolas, Miliukhina, Irina, Timofeeva, Alla, Emelyanov, Anton, Pchelina, Sofya, Greenbaum, Lior, Hassin-Baer, Sharon, Alcalay, Roy N., and Gan-Or, Ziv
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- 2024
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3. Participant-reported personal utility of genetic testing for Parkinson’s disease and interest in clinical trial participation
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Oas, Hannah, Cook, Lola, Schwantes-An, Tae-Hwi, Walsh, Laurence E., Wills, Anne-Marie, Mata, Ignacio F., Nance, Martha A., Beck, James C., Naito, Anna, Marder, Karen, Alcalay, Roy N., and Verbrugge, Jennifer
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- 2024
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4. Distinctive CD56dim NK subset profiles and increased NKG2D expression in blood NK cells of Parkinson’s disease patients
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Weber, Stephen, Menees, Kelly B., Park, Jieun, Agin-Liebes, Julian, Lin, Chih-Chun, Alcalay, Roy N., and Lee, Jae-Kyung
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- 2024
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5. A potential patient stratification biomarker for Parkinson´s disease based on LRRK2 kinase-mediated centrosomal alterations in peripheral blood-derived cells
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Naaldijk, Yahaira, Fernández, Belén, Fasiczka, Rachel, Fdez, Elena, Leghay, Coline, Croitoru, Ioana, Kwok, John B., Boulesnane, Yanisse, Vizeneux, Amelie, Mutez, Eugenie, Calvez, Camille, Destée, Alain, Taymans, Jean-Marc, Aragon, Ana Vinagre, Yarza, Alberto Bergareche, Padmanabhan, Shalini, Delgado, Mario, Alcalay, Roy N., Chatterton, Zac, Dzamko, Nicolas, Halliday, Glenda, Ruiz-Martínez, Javier, Chartier-Harlin, Marie-Christine, and Hilfiker, Sabine
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- 2024
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6. Unaltered T cell responses to common antigens in individuals with Parkinson's disease
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Williams, Gregory P, Muskat, Kaylin, Frazier, April, Xu, Yaqian, Mateus, José, Grifoni, Alba, da Silva Antunes, Ricardo, Weiskopf, Daniela, Amara, Amy W, Standaert, David G, Goldman, Jennifer G, Litvan, Irene, Alcalay, Roy N, Sulzer, David, Lindestam Arlehamn, Cecilia S, and Sette, Alessandro
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Medical Microbiology ,Biomedical and Clinical Sciences ,Immunology ,Biotechnology ,Emerging Infectious Diseases ,Prevention ,Neurosciences ,Immunization ,Neurodegenerative ,Infectious Diseases ,Parkinson's Disease ,Brain Disorders ,Vaccine Related ,Clinical Research ,Aging ,2.1 Biological and endogenous factors ,Aetiology ,Neurological ,Inflammatory and immune system ,Infection ,Humans ,T-Lymphocytes ,Parkinson Disease ,Leukocytes ,Mononuclear ,Cytokines ,Vaccines ,Parkinson 's disease ,T cells ,Inflammation ,Neuroimmunology ,Immune system ,Viral immunity ,Bacterial immunity ,Neurodegeneration ,Parkinson's disease ,Clinical Sciences ,Psychology ,Clinical sciences ,Biological psychology - Abstract
Background and objectivesParkinson's disease (PD) is associated with a heightened inflammatory state, including activated T cells. However, it is unclear whether these PD T cell responses are antigen specific or more indicative of generalized hyperresponsiveness. Our objective was to measure and compare antigen-specific T cell responses directed towards antigens derived from commonly encountered human pathogens/vaccines in patients with PD and age-matched healthy controls (HC).MethodsPeripheral blood mononuclear cells (PBMCs) from 20 PD patients and 19 age-matched HCs were screened. Antigen specific T cell responses were measured by flow cytometry using a combination of the activation induced marker (AIM) assay and intracellular cytokine staining.ResultsHere we show that both PD patients and HCs show similar T cell activation levels to several antigens derived from commonly encountered human pathogens/vaccines in the general population. Similarly, we also observed no difference between HC and PD in the levels of CD4 and CD8 T cell derived cytokines produced in response to any of the common antigens tested. These antigens encompassed both viral (coronavirus, rhinovirus, respiratory syncytial virus, influenza, cytomegalovirus) and bacterial (pertussis, tetanus) targets.ConclusionsThese results suggest the T cell dysfunction observed in PD may not extend itself to abnormal responses to commonly encountered or vaccine-target antigens. Our study supports the notion that the targets of inflammatory T cell responses in PD may be more directed towards autoantigens like α-synuclein (α-syn) rather than common foreign antigens.
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- 2023
7. LRRK2 and GBA1 variant carriers have higher urinary bis(monacylglycerol) phosphate concentrations in PPMI cohorts
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Merchant, Kalpana M, Simuni, Tanya, Fedler, Janel, Caspell-Garcia, Chelsea, Brumm, Michael, Nudelman, Kelly NH, Tengstrandt, Elizabeth, Hsieh, Frank, Alcalay, Roy N, Coffey, Christopher, Chahine, Lana, Foroud, Tatiana, Singleton, Andrew, Weintraub, Daniel, Hutten, Samantha, Sherer, Todd, Mollenhauer, Brit, Siderowf, Andrew, Tanner, Caroline, and Marek, Ken
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Biomedical and Clinical Sciences ,Clinical Sciences ,Brain Disorders ,Neurodegenerative ,Neurosciences ,Parkinson's Disease ,Aetiology ,2.1 Biological and endogenous factors ,Neurological ,the Parkinson’s Progression Markers Initiative ,Biological psychology ,Cognitive and computational psychology - Abstract
We quantified concentrations of three isoforms of the endolysosomal lipid, bis(monoacylglycerol) phosphate (BMP) in the urine of deeply phenotyped cohorts in the Parkinson's Progression Markers Initiative: LRRK2 G2019S PD (N = 134) and non-manifesting carriers (NMC) (G2019S+ NMC; N = 182), LRRK2 R1441G PD (N = 15) and R1441G+ NMC (N = 15), GBA1 N409S PD (N = 76) and N409S+ NMC (N = 178), sporadic PD (sPD, N = 379) and healthy controls (HC) (N = 190). The effects of each mutation and disease status were analyzed using nonparametric methods. Longitudinal changes in BMP levels were analyzed using linear mixed models. At baseline, all LRRK2 carriers had 3-7× higher BMP levels compared to HC, irrespective of the disease status. GBA1 N409S carriers also showed significant, albeit smaller, elevation (~30-40%) in BMP levels compared to HC. In LRRK2 G2019S PD, urinary BMP levels remained stable over two years. Furthermore, baseline BMP levels did not predict disease progression as measured by striatal DaT imaging, MDS-UPDRS III Off, or MoCA in any of the cohorts. These data support the utility of BMP as a target modulation biomarker in therapeutic trials of genetic and sPD but not as a prognostic or disease progression biomarker.
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- 2023
8. Longitudinal clinical and biomarker characteristics of non-manifesting LRRK2 G2019S carriers in the PPMI cohort.
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Simuni, Tanya, Merchant, Kalpana, Brumm, Michael C, Cho, Hyunkeun, Caspell-Garcia, Chelsea, Coffey, Christopher S, Chahine, Lana M, Alcalay, Roy N, Nudelman, Kelly, Foroud, Tatiana, Mollenhauer, Brit, Siderowf, Andrew, Tanner, Caroline, Iwaki, Hirotaka, Sherer, Todd, Marek, Kenneth, and Parkinson’s Progression Marker Initiative Authors
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Parkinson’s Progression Marker Initiative Authors ,Brain Disorders ,Aging ,Neurosciences ,Neurodegenerative ,Parkinson's Disease ,Neurological - Abstract
We examined 2-year longitudinal change in clinical features and biomarkers in LRRK2 non-manifesting carriers (NMCs) versus healthy controls (HCs) enrolled in the Parkinson's Progression Markers Initiative (PPMI). We analyzed 2-year longitudinal data from 176 LRRK2 G2019S NMCs and 185 HCs. All participants were assessed annually with comprehensive motor and non-motor scales, dopamine transporter (DAT) imaging, and biofluid biomarkers. The latter included cerebrospinal fluid (CSF) Abeta, total tau and phospho-tau; serum urate and neurofilament light chain (NfL); and urine bis(monoacylglycerol) phosphate (BMP). At baseline, LRRK2 G2019S NMCs had a mean (SD) age of 62 (7.7) years and were 56% female. 13% had DAT deficit (defined as
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- 2022
9. A Remote Longitudinal Observational Study of Individuals at Genetic Risk for Parkinson Disease
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Jensen-Roberts, Stella, Myers, Taylor L, Auinger, Peggy, Cannon, Paul, Rowbotham, Helen M, Coker, Daniella, Chanoff, Eli, Soto, Julia, Pawlik, Meghan, Amodeo, Katherine, Sharma, Saloni, Valdovinos, Blanca, Wilson, Renee, Sarkar, Aayush, McDermott, Michael P, Alcalay, Roy N, Biglan, Kevin, Kinel, Daniel, Tanner, Caroline, Winter-Evans, Reni, Augustine, Erika F, Holloway, Robert G, Dorsey, E Ray, and Schneider, Ruth B
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Biological Sciences ,Biomedical and Clinical Sciences ,Clinical Sciences ,Genetics ,Brain Disorders ,Aging ,Parkinson's Disease ,Neurosciences ,Neurodegenerative ,Clinical Research ,Neurological ,Clinical sciences - Abstract
Background and objectivesTo recruit and characterize a national cohort of individuals who have a genetic variant (LRRK2 G2019S) that increases risk of Parkinson disease (PD), assess participant satisfaction with a decentralized, remote research model, and evaluate interest in future clinical trials.MethodsIn partnership with 23andMe, Inc., a personal genetics company, LRRK2 G2019S carriers with and without PD were recruited to participate in an ongoing 36-month decentralized, remote natural history study. We examined concordance between self-reported and clinician-determined PD diagnosis. We applied the Movement Disorder Society Prodromal Parkinson's Disease Criteria and asked investigators to identify concern for parkinsonism to distinguish participants with probable prodromal PD. We compared baseline characteristics of LRRK2 G2019S carriers with PD, with prodromal PD, and without PD.ResultsOver 15 months, we enrolled 277 LRRK2 G2019S carriers from 34 states. At baseline, 60 had self-reported PD (mean [SD] age 67.8 years [8.4], 98% White, 52% female, 80% Ashkenazi Jewish, and 67% with a family history of PD), and 217 did not (mean [SD] age 53.7 years [15.1], 95% White, 59% female, 73% Ashkenazi Jewish, and 57% with a family history of PD). Agreement between self-reported and clinician-determined PD status was excellent (κ = 0.94, 95% confidence interval 0.89-0.99). Twenty-four participants had prodromal PD; 9 met criteria for probable prodromal PD and investigators identified concern for parkinsonism in 20 cases. Compared with those without prodromal PD, participants with prodromal PD were older (63.9 years [9.0] vs 51.9 years [15.1], p < 0.001), had higher modified Movement Disorders Society-Unified Parkinson's Disease Rating Scale motor scores (5.7 [4.3] vs 0.8 [2.1], p < 0.001), and had higher Scale for Outcomes in PD for Autonomic Symptoms scores (11.5 [6.2] vs 6.9 [5.7], p = 0.002). Two-thirds of participants enrolled were new to research, 97% were satisfied with the overall study, and 94% of those without PD would participate in future preventive clinical trials.DiscussionAn entirely remote national cohort of LRRK2 G2019S carriers was recruited from a single site. This study will prospectively characterize a large LRRK2 G2019S cohort, refine a new model of clinical research, and engage new research participants willing to participate in future therapeutic trials.
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- 2022
10. Mild cognitive impairment among LRRK2 and GBA1 patients with Parkinson's disease
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Thaler, Avner, Livne, Vered, Rubinstein, Einat, Omer, Nurit, Faust-Socher, Achinoam, Cohen, Batsheva, Giladi, Nir, Shirvan, Julia C., Cedarbaum, Jesse M., Gana-Weisz, Mali, Goldstein, Orly, Orr-Urtreger, Avi, Alcalay, Roy N., and Mirelman, Anat
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- 2024
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11. Quantitative proteomics and phosphoproteomics of urinary extracellular vesicles define putative diagnostic biosignatures for Parkinson’s disease
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Hadisurya, Marco, Li, Li, Kuwaranancharoen, Kananart, Wu, Xiaofeng, Lee, Zheng-Chi, Alcalay, Roy N., Padmanabhan, Shalini, Tao, W. Andy, and Iliuk, Anton
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- 2023
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12. Toward a biomarker panel measured in CNS-originating extracellular vesicles for improved differential diagnosis of Parkinson’s disease and multiple system atrophy
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Taha, Hash Brown, Hornung, Simon, Dutta, Suman, Fenwick, Leony, Lahgui, Otmane, Howe, Kathryn, Elabed, Nour, del Rosario, Irish, Wong, Darice Y., Duarte Folle, Aline, Markovic, Daniela, Palma, Jose-Alberto, Kang, Un Jung, Alcalay, Roy N., Sklerov, Miriam, Kaufmann, Horacio, Fogel, Brent L., Bronstein, Jeff M., Ritz, Beate, and Bitan, Gal
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- 2023
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13. GBA1-and LRRK2-directed Treatments: The Way Forward
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Maayan Eshed, Gadi and Alcalay, Roy N.
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- 2024
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14. Transcriptional analysis of peripheral memory T cells reveals Parkinson’s disease-specific gene signatures
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Dhanwani, Rekha, Lima-Junior, João Rodrigues, Sethi, Ashu, Pham, John, Williams, Gregory, Frazier, April, Xu, Yaqian, Amara, Amy W, Standaert, David G, Goldman, Jennifer G, Litvan, Irene, Alcalay, Roy N, Peters, Bjoern, Sulzer, David, Arlehamn, Cecilia S Lindestam, and Sette, Alessandro
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Biomedical and Clinical Sciences ,Immunology ,Stem Cell Research - Nonembryonic - Human ,Clinical Research ,Aging ,Parkinson's Disease ,Neurodegenerative ,Genetics ,Stem Cell Research ,Brain Disorders ,Prevention ,Neurosciences ,Aetiology ,2.1 Biological and endogenous factors ,Neurological ,Biological psychology ,Cognitive and computational psychology - Abstract
Parkinson's disease (PD) is a multi-stage neurodegenerative disorder with largely unknown etiology. Recent findings have identified PD-associated autoimmune features including roles for T cells. To further characterize the role of T cells in PD, we performed RNA sequencing on PBMC and peripheral CD4 and CD8 memory T cell subsets derived from PD patients and age-matched healthy controls. When the groups were stratified by their T cell responsiveness to alpha-synuclein (α-syn) as a proxy for an ongoing inflammatory autoimmune response, the study revealed a broad differential gene expression profile in memory T cell subsets and a specific PD associated gene signature. We identified significant enrichment of transcriptomic signatures previously associated with PD, including for oxidative stress, phosphorylation, autophagy of mitochondria, cholesterol metabolism and inflammation, and the chemokine signaling proteins CX3CR1, CCR5, and CCR1. In addition, we identified genes in these peripheral cells that have previously been shown to be involved in PD pathogenesis and expressed in neurons, such as LRRK2, LAMP3, and aquaporin. Together, these findings suggest that features of circulating T cells with α-syn-specific responses in PD patients provide insights into the interactive processes that occur during PD pathogenesis and suggest potential intervention targets.
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- 2022
15. Correction to: α-Synuclein in blood exosomes immunoprecipitated using neuronal and oligodendroglial markers distinguishes Parkinson’s disease from multiple system atrophy
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Dutta, Suman, Hornung, Simon, Kruayatidee, Adira, Maina, Katherine N, del Rosario, Irish, Paul, Kimberly C, Wong, Darice Y, Duarte Folle, Aline, Markovic, Daniela, Palma, Jose-Alberto, Serrano, Geidy E, Adler, Charles H, Perlman, Susan L, Poon, Wayne W, Kang, Un Jung, Alcalay, Roy N, Sklerov, Miriam, Gylys, Karen H, Kaufmann, Horacio, Fogel, Brent L, Bronstein, Jeff M, Ritz, Beate, and Bitan, Gal
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Neurological ,Clinical Sciences ,Neurosciences ,Neurology & Neurosurgery - Abstract
A correction to this paper has been published: https://doi.org/10.1007/s00401-021-02332-0.
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- 2021
16. α-Synuclein in blood exosomes immunoprecipitated using neuronal and oligodendroglial markers distinguishes Parkinson’s disease from multiple system atrophy
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Dutta, Suman, Hornung, Simon, Kruayatidee, Adira, Maina, Katherine N, del Rosario, Irish, Paul, Kimberly C, Wong, Darice Y, Duarte Folle, Aline, Markovic, Daniela, Palma, Jose-Alberto, Serrano, Geidy E, Adler, Charles H, Perlman, Susan L, Poon, Wayne W, Kang, Un Jung, Alcalay, Roy N, Sklerov, Miriam, Gylys, Karen H, Kaufmann, Horacio, Fogel, Brent L, Bronstein, Jeff M, Ritz, Beate, and Bitan, Gal
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Biomedical and Clinical Sciences ,Clinical Sciences ,Brain Disorders ,Parkinson's Disease ,Aging ,Neurosciences ,Neurodegenerative ,4.1 Discovery and preclinical testing of markers and technologies ,4.2 Evaluation of markers and technologies ,Detection ,screening and diagnosis ,Neurological ,Adult ,Aged ,Aged ,80 and over ,Area Under Curve ,Biomarkers ,Cohort Studies ,Diagnosis ,Differential ,Enzyme-Linked Immunosorbent Assay ,Exosomes ,Female ,Healthy Volunteers ,Humans ,Immunoprecipitation ,Male ,Middle Aged ,Multiple System Atrophy ,Neurons ,Oligodendroglia ,Parkinson Disease ,Reproducibility of Results ,Sensitivity and Specificity ,alpha-Synuclein ,Biomarker ,Extracellular vesicles ,Synucleinopathy ,Biofluid ,Neurology & Neurosurgery - Abstract
The diagnosis of Parkinson's disease (PD) and atypical parkinsonian syndromes is difficult due to the lack of reliable, easily accessible biomarkers. Multiple system atrophy (MSA) is a synucleinopathy whose symptoms often overlap with PD. Exosomes isolated from blood by immunoprecipitation using CNS markers provide a window into the brain's biochemistry and may assist in distinguishing between PD and MSA. Thus, we asked whether α-synuclein (α-syn) in such exosomes could distinguish among healthy individuals, patients with PD, and patients with MSA. We isolated exosomes from the serum or plasma of these three groups by immunoprecipitation using neuronal and oligodendroglial markers in two independent cohorts and measured α-syn in these exosomes using an electrochemiluminescence ELISA. In both cohorts, α-syn concentrations were significantly lower in the control group and significantly higher in the MSA group compared to the PD group. The ratio between α-syn concentrations in putative oligodendroglial exosomes compared to putative neuronal exosomes was a particularly sensitive biomarker for distinguishing between PD and MSA. Combining this ratio with the α-syn concentration itself and the total exosome concentration, a multinomial logistic model trained on the discovery cohort separated PD from MSA with an AUC = 0.902, corresponding to 89.8% sensitivity and 86.0% specificity when applied to the independent validation cohort. The data demonstrate that a minimally invasive blood test measuring α-syn in blood exosomes immunoprecipitated using CNS markers can distinguish between patients with PD and patients with MSA with high sensitivity and specificity. Future optimization and validation of the data by other groups would allow this strategy to become a viable diagnostic test for synucleinopathies.
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- 2021
17. Genomewide Association Studies of LRRK2 Modifiers of Parkinson's Disease
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Lai, Dongbing, Alipanahi, Babak, Fontanillas, Pierre, Schwantes‐An, Tae‐Hwi, Aasly, Jan, Alcalay, Roy N, Beecham, Gary W, Berg, Daniela, Bressman, Susan, Brice, Alexis, Brockman, Kathrin, Clark, Lorraine, Cookson, Mark, Das, Sayantan, Van Deerlin, Vivianna, Follett, Jordan, Farrer, Matthew J, Trinh, Joanne, Gasser, Thomas, Goldwurm, Stefano, Gustavsson, Emil, Klein, Christine, Lang, Anthony E, Langston, J William, Latourelle, Jeanne, Lynch, Timothy, Marder, Karen, Marras, Connie, Martin, Eden R, McLean, Cory Y, Mejia‐Santana, Helen, Molho, Eric, Myers, Richard H, Nuytemans, Karen, Ozelius, Laurie, Payami, Haydeh, Raymond, Deborah, Rogaeva, Ekaterina, Rogers, Michael P, Ross, Owen A, Samii, Ali, Saunders‐Pullman, Rachel, Schüle, Birgitt, Schulte, Claudia, Scott, William K, Tanner, Caroline, Tolosa, Eduardo, Tomkins, James E, Vilas, Dolores, Trojanowski, John Q, Team, The 23andMe Research, Uitti, Ryan, Vance, Jeffery M, Visanji, Naomi P, Wszolek, Zbigniew K, Zabetian, Cyrus P, Mirelman, Anat, Giladi, Nir, Urtreger, Avi Orr, Cannon, Paul, Fiske, Brian, and Foroud, Tatiana
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Biomedical and Clinical Sciences ,Neurosciences ,Clinical Sciences ,Aging ,Genetics ,Brain Disorders ,Prevention ,Parkinson's Disease ,Neurodegenerative ,Human Genome ,Aetiology ,2.1 Biological and endogenous factors ,Neurological ,Aged ,Female ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Genotype ,Humans ,Leucine-Rich Repeat Serine-Threonine Protein Kinase-2 ,Male ,Middle Aged ,Mutation ,Parkinson Disease ,Penetrance ,23andMe Research Team ,Neurology & Neurosurgery ,Clinical sciences - Abstract
ObjectiveThe aim of this study was to search for genes/variants that modify the effect of LRRK2 mutations in terms of penetrance and age-at-onset of Parkinson's disease.MethodsWe performed the first genomewide association study of penetrance and age-at-onset of Parkinson's disease in LRRK2 mutation carriers (776 cases and 1,103 non-cases at their last evaluation). Cox proportional hazard models and linear mixed models were used to identify modifiers of penetrance and age-at-onset of LRRK2 mutations, respectively. We also investigated whether a polygenic risk score derived from a published genomewide association study of Parkinson's disease was able to explain variability in penetrance and age-at-onset in LRRK2 mutation carriers.ResultsA variant located in the intronic region of CORO1C on chromosome 12 (rs77395454; p value = 2.5E-08, beta = 1.27, SE = 0.23, risk allele: C) met genomewide significance for the penetrance model. Co-immunoprecipitation analyses of LRRK2 and CORO1C supported an interaction between these 2 proteins. A region on chromosome 3, within a previously reported linkage peak for Parkinson's disease susceptibility, showed suggestive associations in both models (penetrance top variant: p value = 1.1E-07; age-at-onset top variant: p value = 9.3E-07). A polygenic risk score derived from publicly available Parkinson's disease summary statistics was a significant predictor of penetrance, but not of age-at-onset.InterpretationThis study suggests that variants within or near CORO1C may modify the penetrance of LRRK2 mutations. In addition, common Parkinson's disease associated variants collectively increase the penetrance of LRRK2 mutations. ANN NEUROL 2021;90:82-94.
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- 2021
18. Myasthenia gravis patients exhibiting an eyelid myotonia-like phenomenon
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Abraham, Alon, Gurevich, Tanya, Alcalay, Roy N., and Karni, Arnon
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- 2023
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19. Safety and efficacy of venglustat in GBA1-associated Parkinson's disease: an international, multicentre, double-blind, randomised, placebo-controlled, phase 2 trial
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Giladi, Nir, Alcalay, Roy N, Cutter, Gary, Gasser, Thomas, Gurevich, Tanya, Höglinger, Günter U, Marek, Kenneth, Pacchetti, Claudio, Schapira, Anthony H V, Scherzer, Clemens R, Simuni, Tanya, Minini, Pascal, Sardi, S Pablo, and Peterschmitt, M Judith
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- 2023
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20. Variants in PSMB9 and FGR differentially affect Parkinson's disease risk in GBA and LRRK2 mutation carriers
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Shani, Shachar, Goldstein, Orly, Gana-Weisz, Mali, Bar-Shira, Anat, Thaler, Avner, Gurevich, Tanya, Mirelman, Anat, Giladi, Nir, Alcalay, Roy N., and Orr-Urtreger, Avi
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- 2023
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21. Longitudinal Measurements of Glucocerebrosidase activity in Parkinson’s patients
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Alcalay, Roy N, Wolf, Pavlina, Chiang, Ming Sum Ruby, Helesicova, Karolina, Zhang, Xiaokui Kate, Merchant, Kalpana, Hutten, Samantha J, Scherzer, Clemens, Caspell‐Garcia, Chelsea, Blauwendraat, Cornelis, Foroud, Tatiana, Nudelman, Kelly, Gan‐Or, Ziv, Simuni, Tanya, Chahine, Lana M, Levy, Oren, Zheng, Dandi, Li, Sardi, Sergio Pablo, Marek, Kenneth, Siderowf, Andrew, Seibyl, John, Coffey, Christopher, Tanner, Caroline, Tosun‐Turgut, Duygu, Shaw, Leslie M, Trojanowski, John Q, Singleton, Andrew, Kieburtz, Karl, Toga, Arthur, Mollenhauer, Brit, Galasko, Douglas, Poewe, Werner, Poston, Kathleen, Bressman, Susan, Reimer, Alyssa, Arnedo, Vanessa, Clark, Adrienne, Frasier, Mark, Kopil, Catherine, Chowdhury, Sohini, Sherer, Todd, Casaceli, Cynthia, Dorsey, Ray, Wilson, Renee, Mahes, Sugi, Salerno, Christina, Crawford, Karen, Casalin, Paola, Malferrari, Giulia, Weisz, Mali Gani, Orr‐Urtreger, Avi, Montine, Thomas, Baglieri, Chris, Christini, Amanda, Russell, David, Dahodwala, Nabila, Giladi, Nir, Factor, Stewart, Hogarth, Penelope, Standaert, David, Hauser, Robert, Jankovic, Joseph, Saint‐Hilaire, Marie, Richard, Irene, Shprecher, David, Fernandez, Hubert, Brockmann, Katrina, Rosenthal, Liana, Barone, Paolo, Espay, Alberto, Rowe, Dominic, Marder, Karen, Santiago, Anthony, Hu, Shu‐Ching, Isaacson, Stuart, Martinez, Javiar Ruiz, Tolosa, Eduardo, Tai, Yen, Politis, Marios, Smejdir, Debra, Rees, Linda, Williams, Karen, Kausar, Farah, Richardson, Whitney, Willeke, Diana, Peacock, Shawnees, Sommerfeld, Barbara, Freed, Alison, Wakeman, Katrina, Blair, Courtney, Guthrie, Stephanie, Harrell, Leigh, Hunter, Christine, Thomas, Cathi‐Ann, James, Raymond, Zimmerman, Grace, Brown, Victoria, and Mule, Jennifer
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Clinical and Health Psychology ,Biomedical and Clinical Sciences ,Neurosciences ,Psychology ,Human Genome ,Parkinson's Disease ,Neurodegenerative ,Brain Disorders ,Aging ,Genetics ,Neurological ,Adult ,Dementia ,Disease Progression ,Female ,Genotype ,Glucosylceramidase ,Heterozygote ,Humans ,Male ,Mental Status and Dementia Tests ,Middle Aged ,Mutation ,Parkinson Disease ,Phenotype ,Parkinson’s Progression Markers Initiative ,Clinical Sciences ,Clinical and health psychology - Abstract
ObjectiveReduction in glucocerebrosidase (GCase; encoded by GBA) enzymatic activity has been linked to Parkinson's disease (PD). Here, we correlated GCase activity and PD phenotype in the Parkinson's Progression Markers Initiative (PPMI) cohort.MethodsWe measured GCase activity in dried blood spots from 1559 samples of participants in the inception PPMI cohort, collected in four annual visits (from baseline visit to Year-3). Participants (PD, n = 392; controls, n = 175) were fully sequenced for GBA variants by means of genome-wide genotyping arrays, whole-exome sequencing, whole-genome sequencing, Sanger sequencing, and RNA-sequencing.ResultsFifty-two PD participants (13.4%) and 13 (7.4%) controls carried a GBA variant. GBA status was strongly associated with GCase activity. Among noncarriers, GCase activity was similar between PD and controls. Among GBA p.E326K carriers (PD, n = 20; controls, n = 5), activity was significantly lower in PD carriers than control carriers (9.53 µmol/L/h vs. 11.68 µmol/L/h, P = 0.035). Glucocerebrosidase activity was moderately (r = 0.45) associated with white blood cell (WBC) count. Next, we divided the noncarriers with PD to tertiles based on WBC count-corrected enzymatic activity. Members of the lower tertile had higher MDS-Unified Parkinson's Disease Rating Scale motor score in the "off" medication examination at year-III exam. Longitudinal analyses demonstrated slight reduction of activity in samples collected earlier on in the study, likely because of longer storage time.InterpretationGCase activity is associated with GBA genotype, WBC count, and among p.E326K variant carriers, with PD status. Reduced activity may also be associated with worse phenotype but longer follow up is required to confirm this observation.
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- 2020
22. Clinical and Dopamine Transporter Imaging Characteristics of Leucine Rich Repeat Kinase 2 (LRRK2) and Glucosylceramidase Beta (GBA) Parkinson's Disease Participants in the Parkinson's Progression Markers Initiative: A Cross-Sectional Study.
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Simuni, Tanya, Brumm, Michael C, Uribe, Liz, Caspell-Garcia, Chelsea, Coffey, Christopher S, Siderowf, Andrew, Alcalay, Roy N, Trojanowski, John Q, Shaw, Leslie M, Seibyl, John, Singleton, Andrew, Toga, Arthur W, Galasko, Doug, Foroud, Tatiana, Nudelman, Kelly, Tosun-Turgut, Duygu, Poston, Kathleen, Weintraub, Daniel, Mollenhauer, Brit, Tanner, Caroline M, Kieburtz, Karl, Chahine, Lana M, Reimer, Alyssa, Hutten, Samantha, Bressman, Susan, Marek, Kenneth, and Parkinson's Progression Markers Initiative Investigators
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Parkinson's Progression Markers Initiative Investigators ,Humans ,Parkinson Disease ,Glucosylceramidase ,Leucine ,Longitudinal Studies ,Cross-Sectional Studies ,Mutation ,Disabled Persons ,Dopamine Plasma Membrane Transport Proteins ,Motor Disorders ,Leucine-Rich Repeat Serine-Threonine Protein Kinase-2 ,Parkinson's disease ,genetics ,Aging ,Neurodegenerative ,Brain Disorders ,Neurosciences ,Parkinson's Disease ,Clinical Research ,2.1 Biological and endogenous factors ,Aetiology ,Neurological ,Clinical Sciences ,Human Movement and Sports Sciences ,Neurology & Neurosurgery - Abstract
BackgroundThere are limited data on the phenotypic and dopamine transporter (DAT) imaging characterization of the Parkinson's disease (PD) patients with leucine rich kinase 2 (LRRK2) and glucosylceramidase beta (GBA) mutations.ObjectiveThe objective of this study was to examine baseline clinical and DAT imaging characteristics in GBA and LRRK2 mutation carriers with early PD compared with sporadic PD.MethodsThe Parkinson's Progression Markers Initiative is an ongoing observational longitudinal study that enrolled participants with sporadic PD, LRRK2 and GBA PD carriers from 33 sites worldwide. All participants are assessed annually with a battery of motor and nonmotor scales, 123-I Ioflupane DAT imaging, and biologic variables.ResultsWe assessed 158 LRRK2 (89% G2019S), 80 GBA (89 %N370S), and 361 sporadic PD participants with the mean (standard deviation) disease duration of 2.9 (1.9), 3.1 (2.0), and 2.6 (0.6) years, respectively. When compared with sporadic PD, the GBA PD patients had no difference in any motor, cognitive, or autonomic features. The LRRK2 PD patients had less motor disability and lower rapid eye movement behavior disorder questionnaire scores, but no meaningful difference in cognitive or autonomic features. Both genetic cohorts had a higher score on the impulse control disorders scale when compared with sporadic PD, but no difference in other psychiatric features. Both genetic PD cohorts had less loss of dopamine transporter on DAT imaging when compared with sporadic PD.ConclusionsWe confirm previous reports of milder phenotype associated with LRRK2-PD. A previously reported more aggressive phenotype in GBA-PD is not evident early in the disease in N370s carriers. This observation identifies a window for potential disease-modifying interventions. Longitudinal data will be essential to define the slope of progression for both genetic cohorts.Trial registrationClinicalTrials.gov (NCT01141023). © 2020 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society.
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- 2020
23. Neuropsychiatric symptoms and cognitive abilities over the initial quinquennium of Parkinson disease.
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Weintraub, Daniel, Caspell-Garcia, Chelsea, Simuni, Tanya, Cho, Hyunkeun R, Coffey, Christopher S, Aarsland, Dag, Alcalay, Roy N, Barrett, Matthew J, Chahine, Lana M, Eberling, Jamie, Espay, Alberto J, Hamilton, Jamie, Hawkins, Keith A, Leverenz, James, Litvan, Irene, Richard, Irene, Rosenthal, Liana S, Siderowf, Andrew, York, Michele, and Parkinson’s Progression Markers Initiative
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Parkinson’s Progression Markers Initiative ,Humans ,Parkinson Disease ,Disease Progression ,Prevalence ,Longitudinal Studies ,Behavioral Symptoms ,Adult ,Aged ,Aged ,80 and over ,Middle Aged ,Female ,Male ,Cognitive Dysfunction ,Clinical Sciences ,Neurosciences - Abstract
ObjectiveTo determine the evolution of numerous neuropsychiatric symptoms and cognitive abilities in Parkinson disease from disease onset.MethodsProspectively collected, longitudinal (untreated, disease onset to year 5), observational data from Parkinson's Progression Markers Initiative annual visits was used to evaluate prevalence, correlates, and treatment of 10 neuropsychiatric symptoms and cognitive impairment in Parkinson disease participants and matched healthy controls.ResultsOf 423 Parkinson disease participants evaluated at baseline, 315 (74.5%) were assessed at year 5. Eight neuropsychiatric symptoms studied increased in absolute prevalence by 6.2-20.9% at year 5 relative to baseline, and cognitive impairment increased by 2.7-6.2%. In comparison, the frequency of neuropsychiatric symptoms in healthy controls remained stable or declined over time. Antidepressant and anxiolytic/hypnotic use in Parkinson disease were common at baseline and increased over time (18% to 27% for the former; 13% to 24% for the latter); antipsychotic and cognitive-enhancing medication use was uncommon throughout (2% and 5% of patients at year 5); and potentially harmful anticholinergic medication use was common and increased over time. At year 5 the cross-sectional prevalence for having three or more neuropsychiatric disorders/cognitive impairment was 56% for Parkinson disease participants versus 13% for healthy controls, and by then seven of the examined disorders had either occurred or been treated at some time point in the majority of Parkinson disease patients. Principal component analysis suggested an affective disorder subtype only.InterpretationNeuropsychiatric features in Parkinson disease are common from the onset, increase over time, are frequently comorbid, and fluctuate in severity.
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- 2020
24. A Virtual Cohort Study of Individuals at Genetic Risk for Parkinson’s Disease: Study Protocol and Design
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Schneider, Ruth B, Myers, Taylor L, Rowbotham, Helen M, Luff, Marie K, Amodeo, Katherine, Sharma, Saloni, Wilson, Renee, Jensen-Roberts, Stella, Auinger, Peggy, McDermott, Michael P, Alcalay, Roy N, Biglan, Kevin, Kinel, Daniel, Tanner, Caroline, Winter-Evans, Reni, Augustine, Erika F, Cannon, Paul, Holloway, Robert G, and Dorsey, E Ray
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Genetic Testing ,Neurosciences ,Clinical Research ,Parkinson's Disease ,Neurodegenerative ,Behavioral and Social Science ,Brain Disorders ,Genetics ,Aging ,2.1 Biological and endogenous factors ,Aetiology ,Neurological ,Good Health and Well Being ,Aged ,Clinical Protocols ,Clinical Trials as Topic ,Cohort Studies ,Feasibility Studies ,Female ,Genetic Predisposition to Disease ,Heterozygote ,Humans ,Jews ,Leucine-Rich Repeat Serine-Threonine Protein Kinase-2 ,Longitudinal Studies ,Male ,Middle Aged ,Parkinson Disease ,Rare Diseases ,Research Design ,Telemedicine ,Clinical trials as topic ,cohort studies ,genetic testing ,LRRK2 ,Parkinson's disease ,rare disease ,remote consultation ,telemedicine ,23andMe Research Team ,Clinical trials as topic ,Parkinson’s disease ,remote consultation ,telemedicine ,Biochemistry and Cell Biology - Abstract
BackgroundThe rise of direct-to-consumer genetic testing has enabled many to learn of their possible increased risk for rare diseases, some of which may be suitable for gene-targeted therapies. However, recruiting a large and representative population for rare diseases or genetically defined sub-populations of common diseases is slow, difficult, and expensive.ObjectiveTo assess the feasibility of recruiting and retaining a cohort of individuals who carry a genetic mutation linked to Parkinson's disease (G2019S variant of LRRK2); to characterize this cohort relative to the characteristics of traditional, in-person studies; and to evaluate this model's ability to create an engaged study cohort interested in future clinical trials of gene-directed therapies.MethodsThis single-site,3-year national longitudinal observational study will recruit between 250 to 350 LRRK2 carriers without Parkinson's disease and approximately 50 with the condition. Participants must have undergone genetic testing by the personal genetics company, 23andMe, Inc., have knowledge of their carrier status, and consent to be contacted for research studies. All participants undergo standardized assessments, including video-based cognitive and motor examination, and complete patient-reported outcomes on an annual basis.Results263 individuals living in 33 states have enrolled. The cohort has a mean (SD) age of 56.0 (15.9) years, 59% are female, and 76% are of Ashkenazi Jewish descent. 233 have completed the baseline visit: 47 with self-reported Parkinson's disease and 186 without.ConclusionsThis study establishes a promising model for developing a geographically dispersed and well-characterized cohort ready for participation in future clinical trials of gene-directed therapies.
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- 2020
25. Identification of novel risk loci, causal insights, and heritable risk for Parkinson's disease: a meta-analysis of genome-wide association studies
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Nalls, Mike A, Blauwendraat, Cornelis, Vallerga, Costanza L, Heilbron, Karl, Bandres-Ciga, Sara, Chang, Diana, Tan, Manuela, Kia, Demis A, Noyce, Alastair J, Xue, Angli, Bras, Jose, Young, Emily, von Coelln, Rainer, Simón-Sánchez, Javier, Schulte, Claudia, Sharma, Manu, Krohn, Lynne, Pihlstrøm, Lasse, Siitonen, Ari, Iwaki, Hirotaka, Leonard, Hampton, Faghri, Faraz, Gibbs, J Raphael, Hernandez, Dena G, Scholz, Sonja W, Botia, Juan A, Martinez, Maria, Corvol, Jean-Christophe, Lesage, Suzanne, Jankovic, Joseph, Shulman, Lisa M, Sutherland, Margaret, Tienari, Pentti, Majamaa, Kari, Toft, Mathias, Andreassen, Ole A, Bangale, Tushar, Brice, Alexis, Yang, Jian, Gan-Or, Ziv, Gasser, Thomas, Heutink, Peter, Shulman, Joshua M, Wood, Nicholas W, Hinds, David A, Hardy, John A, Morris, Huw R, Gratten, Jacob, Visscher, Peter M, Graham, Robert R, Singleton, Andrew B, Team, 23andMe Research, Consortium, System Genomics of Parkinson's Disease, Consortium, International Parkinson's Disease Genomics, Adarmes-Gómez, Astrid D, Aguilar, Miquel, Aitkulova, Akbota, Akhmetzhanov, Vadim, Alcalay, Roy N, Alvarez, Ignacio, Alvarez, Victoria, Barrero, Francisco Javier, Yarza, Jesús Alberto Bergareche, Bernal-Bernal, Inmaculada, Billingsley, Kimberley, Blazquez, Marta, Bonilla-Toribio, Marta, Botía, Juan A, Boungiorno, María Teresa, Brockmann, Kathrin, Bubb, Vivien, Buiza-Rueda, Dolores, Cámara, Ana, Carrillo, Fátima, Carrión-Claro, Mario, Cerdan, Debora, Chelban, Viorica, Clarimón, Jordi, Clarke, Carl, Compta, Yaroslau, Cookson, Mark R, Craig, David W, Danjou, Fabrice, Diez-Fairen, Monica, Dols-Icardo, Oriol, Duarte, Jacinto, Duran, Raquel, Escamilla-Sevilla, Francisco, Escott-Price, Valentina, Ezquerra, Mario, Feliz, Cici, Fernández, Manel, Fernández-Santiago, Rubén, and Finkbeiner, Steven
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Neurosciences ,Parkinson's Disease ,Brain Disorders ,Aging ,Biotechnology ,Prevention ,Genetics ,Human Genome ,Neurodegenerative ,2.1 Biological and endogenous factors ,Aetiology ,Neurological ,Databases ,Genetic ,Genetic Loci ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Humans ,Parkinson Disease ,Risk Factors ,23andMe Research Team ,System Genomics of Parkinson's Disease Consortium ,International Parkinson's Disease Genomics Consortium ,Clinical Sciences ,Neurology & Neurosurgery - Abstract
BackgroundGenome-wide association studies (GWAS) in Parkinson's disease have increased the scope of biological knowledge about the disease over the past decade. We aimed to use the largest aggregate of GWAS data to identify novel risk loci and gain further insight into the causes of Parkinson's disease.MethodsWe did a meta-analysis of 17 datasets from Parkinson's disease GWAS available from European ancestry samples to nominate novel loci for disease risk. These datasets incorporated all available data. We then used these data to estimate heritable risk and develop predictive models of this heritability. We also used large gene expression and methylation resources to examine possible functional consequences as well as tissue, cell type, and biological pathway enrichments for the identified risk factors. Additionally, we examined shared genetic risk between Parkinson's disease and other phenotypes of interest via genetic correlations followed by Mendelian randomisation.FindingsBetween Oct 1, 2017, and Aug 9, 2018, we analysed 7·8 million single nucleotide polymorphisms in 37 688 cases, 18 618 UK Biobank proxy-cases (ie, individuals who do not have Parkinson's disease but have a first degree relative that does), and 1·4 million controls. We identified 90 independent genome-wide significant risk signals across 78 genomic regions, including 38 novel independent risk signals in 37 loci. These 90 variants explained 16-36% of the heritable risk of Parkinson's disease depending on prevalence. Integrating methylation and expression data within a Mendelian randomisation framework identified putatively associated genes at 70 risk signals underlying GWAS loci for follow-up functional studies. Tissue-specific expression enrichment analyses suggested Parkinson's disease loci were heavily brain-enriched, with specific neuronal cell types being implicated from single cell data. We found significant genetic correlations with brain volumes (false discovery rate-adjusted p=0·0035 for intracranial volume, p=0·024 for putamen volume), smoking status (p=0·024), and educational attainment (p=0·038). Mendelian randomisation between cognitive performance and Parkinson's disease risk showed a robust association (p=8·00 × 10-7).InterpretationThese data provide the most comprehensive survey of genetic risk within Parkinson's disease to date, to the best of our knowledge, by revealing many additional Parkinson's disease risk loci, providing a biological context for these risk factors, and showing that a considerable genetic component of this disease remains unidentified. These associations derived from European ancestry datasets will need to be followed-up with more diverse data.FundingThe National Institute on Aging at the National Institutes of Health (USA), The Michael J Fox Foundation, and The Parkinson's Foundation (see appendix for full list of funding sources).
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- 2019
26. Assessment of heterogeneity among participants in the Parkinson's Progression Markers Initiative cohort using α-synuclein seed amplification: a cross-sectional study
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Siderowf, Andrew, Concha-Marambio, Luis, Lafontant, David-Erick, Farris, Carly M, Ma, Yihua, Urenia, Paula A, Nguyen, Hieu, Alcalay, Roy N, Chahine, Lana M, Foroud, Tatiana, Galasko, Douglas, Kieburtz, Karl, Merchant, Kalpana, Mollenhauer, Brit, Poston, Kathleen L, Seibyl, John, Simuni, Tanya, Tanner, Caroline M, Weintraub, Daniel, Videnovic, Aleksandar, Choi, Seung Ho, Kurth, Ryan, Caspell-Garcia, Chelsea, Coffey, Christopher S, Frasier, Mark, Oliveira, Luis M A, Hutten, Samantha J, Sherer, Todd, Marek, Kenneth, and Soto, Claudio
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- 2023
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27. Challenges in the study of individuals at risk for Parkinson disease
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Marras, Connie, primary, Alcalay, Roy N., additional, Siderowf, Andrew, additional, and Postuma, Ronald B., additional
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- 2023
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28. Unaltered T cell responses to common antigens in individuals with Parkinson's disease
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Williams, Gregory P., Muskat, Kaylin, Frazier, April, Xu, Yaqian, Mateus, José, Grifoni, Alba, da Silva Antunes, Ricardo, Weiskopf, Daniela, Amara, Amy W., Standaert, David G., Goldman, Jennifer G., Litvan, Irene, Alcalay, Roy N., Sulzer, David, Lindestam Arlehamn, Cecilia S., and Sette, Alessandro
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- 2023
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29. Providing genetic testing and genetic counseling for Parkinson’s disease to the community
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Cook, Lola, Verbrugge, Jennifer, Schwantes-An, Tae-Hwi, Schulze, Jeanine, Beck, James C., Naito, Anna, Hall, Anne, Chan, Amanda K., Casaceli, Cynthia J., Marder, Karen, Nance, Martha, Schwarzschild, Michael A., Simuni, Tanya, Wills, Anne-Marie, and Alcalay, Roy N.
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- 2023
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30. Genome-wide association study of glucocerebrosidase activity modifiers.
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Somerville, Emma N., primary, Krohn, Lynne, additional, Senkevich, Konstanin, additional, Yu, Eric, additional, Ahmad, Jamil, additional, Asayesh, Farnaz, additional, Ruskey, Jennifer A., additional, Speigelman, Dan, additional, Fahn, Stanley, additional, Waters, Cheryl, additional, Sardi, S. Pablo, additional, Alcalay, Roy N., additional, and Gan-Or, Ziv, additional
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- 2024
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31. Cancer outcomes among Parkinson's disease patients with leucine rich repeat kinase 2 mutations, idiopathic Parkinson's disease patients, and nonaffected controls
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Agalliu, Ilir, Ortega, Roberto A, San Luciano, Marta, Mirelman, Anat, Pont‐Sunyer, Claustre, Brockmann, Kathrin, Vilas, Dolores, Tolosa, Eduardo, Berg, Daniela, Warø, Bjørg, Glickman, Amanda, Raymond, Deborah, Inzelberg, Rivka, Ruiz‐Martinez, Javier, Mondragon, Elisabet, Friedman, Eitan, Hassin‐Baer, Sharon, Alcalay, Roy N, Mejia‐Santana, Helen, Aasly, Jan, Foroud, Tatiana, Marder, Karen, Giladi, Nir, Bressman, Susan, and Saunders‐Pullman, Rachel
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Aging ,Brain Disorders ,Neurodegenerative ,Cancer ,Neurosciences ,Parkinson's Disease ,Clinical Research ,Digestive Diseases ,Aetiology ,2.1 Biological and endogenous factors ,Neurological ,Aged ,Aged ,80 and over ,Colonic Neoplasms ,Female ,Humans ,Leucine-Rich Repeat Serine-Threonine Protein Kinase-2 ,Male ,Middle Aged ,Mutation ,Neoplasms ,Parkinson Disease ,Prevalence ,Risk ,Skin Neoplasms ,Treatment Outcome ,LRRK2 gene ,G2019S mutation ,Parkinson's disease ,leukemia ,colon cancer ,pooled analysis ,Clinical Sciences ,Human Movement and Sports Sciences ,Neurology & Neurosurgery - Abstract
BackgroundIncreased cancer risk has been reported in Parkinson's disease (PD) patients carrying the leucine rich repeat kinase 2 (LRRK2) G2019S mutation (LRRK2-PD) in comparison with idiopathic PD (IPD). It is unclear whether the elevated risk would be maintained when compared with unaffected controls.MethodsCancer outcomes were compared among 257 LRRK2-PD patients, 712 IPD patients, and 218 controls recruited from 7 LRRK2 consortium centers using mixed-effects logistic regression. Data were then pooled with a previous study to examine cancer risk between 401 LRRK2-PD and 1946 IPD patients.ResultsAlthough cancer prevalence was similar among LRRK2-PD patients (32.3%), IPD patients (27.5%), and controls (27.5%; P = 0.33), LRRK2-PD had increased risks of leukemia (odds ratio [OR] = 4.55; 95% confidence interval [CI], 1.46-10.61) and skin cancer (OR = 1.61; 95% CI, 1.09-2.37). In the pooled analysis, LRRK2-PD patients had also elevated risks of leukemia (OR = 9.84; 95% CI, 2.15-44.94) and colon cancer (OR = 2.34; 95% CI, 1.15-4.74) when compared with IPD patients.ConclusionsThe increased risks of leukemia as well as skin and colon cancers among LRRK2-PD patients suggest that LRRK2 mutations heighten risks of certain cancers. © 2019 International Parkinson and Movement Disorder Society.
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- 2019
32. Motor phenotype classification in moderate to advanced PD in BioFIND study
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Luo, Lan, Andrews, Howard, Alcalay, Roy N, Poyraz, Fernanda Carvalho, Boehme, Amelia K, Goldman, Jennifer G, Xie, Tao, Tuite, Paul, Henchcliffe, Claire, Hogarth, Penelope, Amara, Amy W, Frank, Samuel, Sutherland, Margaret, Kopil, Catherine, Naito, Anna, and Kang, Un Jung
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Neurodegenerative ,Parkinson's Disease ,Neurosciences ,Clinical Research ,Brain Disorders ,Aging ,Aetiology ,2.1 Biological and endogenous factors ,Neurological ,Aged ,Biomarkers ,Disease Progression ,Dopamine Agents ,Female ,Gait Disorders ,Neurologic ,Humans ,Longitudinal Studies ,Male ,Middle Aged ,Outcome Assessment ,Health Care ,Parkinson Disease ,Phenotype ,Severity of Illness Index ,Tremor ,Levodopa ,Motor phenotype ,Parkinson's disease ,Subtypes ,Clinical Sciences ,Cognitive Sciences ,Neurology & Neurosurgery - Abstract
BACKGROUND:Three motor phenotypes have been described in PD: postural instability and gait difficulty (PIGD) dominant, tremor-dominant (TD), and indeterminate (IND) subtype. These phenotypes have been associated with different cognitive trajectories, motor outcomes, and biomarkers profiles. However, whether motor subtype classifications change with treatment and disease progression is not well established. METHODS:To evaluate motor subtype ratio changes, we used the chi-square test for the off and on state motor subtypes for 115 PD participants in the BioFIND study and used repeated-measures analyses to evaluate longitudinal changes in 162 PD participants with five-year follow-up in the PPMI study. RESULTS:PIGD and TD subtypes in moderate to advanced PD participants change with dopaminergic agents. For those who shifted subtypes, improvement in tremor accounted for the transition of 15 (25.4%) TD participants, while the lack of tremor improvement along with minimal changes in PIGD score resulted in changes for eight (19.0%) PIGD individuals. Analyses of PPMI data revealed that all three subgroups had a significant decrease in subtype ratio with disease progression and a significant decline in subtype ratio occurred only in the TD subgroup with dopaminergic agents. The impact of dopaminergic medication effect on subtype shift for each visit was also more notable with disease advancement. CONCLUSIONS:Motor subtypes are not fixed but change with progression of the disease and with treatment. Improvement in tremor was the main contributor to motor phenotype transitions in the BioFIND cohort. A more stable classification system for subtypes based on underlying biological differences is desirable.
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- 2019
33. The endocytic membrane trafficking pathway plays a major role in the risk of Parkinson's disease
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Bandres‐Ciga, Sara, Saez‐Atienzar, Sara, Bonet‐Ponce, Luis, Billingsley, Kimberley, Vitale, Dan, Blauwendraat, Cornelis, Gibbs, Jesse Raphael, Pihlstrøm, Lasse, Gan‐Or, Ziv, Noyce, Alastair J, Kaiyrzhanov, Rauan, Middlehurst, Ben, Kia, Demis A, Tan, Manuela, Houlden, Henry, Morris, Huw R, Plun‐Favreau, Helene, Holmans, Peter, Hardy, John, Trabzuni, Daniah, Bras, Jose, Quinn, John, Mok, Kin Y, Kinghorn, Kerri J, Wood, Nicholas W, Lewis, Patrick, Schreglmann, Sebastian, Guerreiro, Rita, Lovering, Ruth, RņBibo, Lea, Manzoni, Claudia, Rizig, Mie, Ryten, Mina, Guelfi, Sebastian, Escott‐Price, Valentina, Chelban, Viorica, Foltynie, Thomas, Williams, Nigel, Morrison, Karen E, Brice, Alexis, Danjou, Fabrice, Lesage, Suzanne, Corvol, Jean‐Christophe, Martinez, Maria, Schulte, Claudia, Brockmann, Kathrin, SimɃn‐Sȥnchez, Javier, Heutink, Peter, Rizzu, Patrizia, Sharma, Manu, Gasser, Thomas, Nicolas, Aude, Cookson, Mark R, Craig, David W, Faghri, Faraz, Gibbs, J Raphael, Hernandez, Dena G, Van Keuren‐Jensen, Kendall, Shulman, Joshua M, Iwaki, Hirotaka, Leonard, Hampton L, Nalls, Mike A, Robak, Laurie, Lubbe, Steven, Finkbeiner, Steven, Mencacci, Niccolo E, Lungu, Codrin, Singleton, Andrew B, Scholz, Sonja W, Reed, Xylena, Alcalay, Roy N, Rouleau, Guy A, Hilten, Jacobus J, Marinus, Johan, Adarmes‐GɃmez, Astrid D, Aguilar, Miquel, Alvarez, Ignacio, Alvarez, Victoria, Barrero, Francisco Javier, Yarza, Jesɐs Alberto Bergareche, Bernal‐Bernal, Inmaculada, Blazquez, Marta, Bonilla‐Toribio, Marta, Botȷa, Juan A, Boungiorno, Marȷa Teresa, Buiza‐Rueda, Dolores, Cȥmara, Ana, Carrillo, Fȥtima, CarriɃn‐Claro, Mario, Cerdan, Debora, ClarimɃn, Jordi, Compta, Yaroslau, Casa, Beatrȷz, Diez‐Fairen, Monica, Dols‐Icardo, Oriol, and Duarte, Jacinto
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Parkinson's Disease ,Human Genome ,Genetics ,Neurosciences ,Brain Disorders ,Prevention ,Neurodegenerative ,Genetic Testing ,2.3 Psychological ,social and economic factors ,2.1 Biological and endogenous factors ,Aetiology ,Decent Work and Economic Growth ,Endocytosis ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Humans ,Mendelian Randomization Analysis ,Parkinson Disease ,Polymorphism ,Single Nucleotide ,Quantitative Trait Loci ,Risk Factors ,International Parkinson's Disease Genomics Consortium ,Parkinson's disease ,endocytosis ,genetic risk ,heritability ,polygenic risk score ,Clinical Sciences ,Human Movement and Sports Sciences ,Neurology & Neurosurgery - Abstract
BackgroundPD is a complex polygenic disorder. In recent years, several genes from the endocytic membrane-trafficking pathway have been suggested to contribute to disease etiology. However, a systematic analysis of pathway-specific genetic risk factors is yet to be performed.ObjectivesTo comprehensively study the role of the endocytic membrane-trafficking pathway in the risk of PD.MethodsLinkage disequilibrium score regression was used to estimate PD heritability explained by 252 genes involved in the endocytic membrane-trafficking pathway including genome-wide association studies data from 18,869 cases and 22,452 controls. We used pathway-specific single-nucleotide polymorphisms to construct a polygenic risk score reflecting the cumulative risk of common variants. To prioritize genes for follow-up functional studies, summary-data based Mendelian randomization analyses were applied to explore possible functional genomic associations with expression or methylation quantitative trait loci.ResultsThe heritability estimate attributed to endocytic membrane-trafficking pathway was 3.58% (standard error = 1.17). Excluding previously nominated PD endocytic membrane-trafficking pathway genes, the missing heritability was 2.21% (standard error = 0.42). Random heritability simulations were estimated to be 1.44% (standard deviation = 0.54), indicating that the unbiased total heritability explained by the endocytic membrane-trafficking pathway was 2.14%. Polygenic risk score based on endocytic membrane-trafficking pathway showed a 1.25 times increase of PD risk per standard deviation of genetic risk. Finally, Mendelian randomization identified 11 endocytic membrane-trafficking pathway genes showing functional consequence associated to PD risk.ConclusionsWe provide compelling genetic evidence that the endocytic membrane-trafficking pathway plays a relevant role in disease etiology. Further research on this pathway is warranted given that critical effort should be made to identify potential avenues within this biological process suitable for therapeutic interventions. © 2019 International Parkinson and Movement Disorder Society.
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- 2019
34. COVID-19 manifestations in people with Parkinson’s disease: a USA cohort
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Xu, Yaqian, Surface, Matthew, Chan, Amanda K., Halpern, Joshua, Vanegas-Arroyave, Nora, Ford, Blair, Feeney, Megan P., Kwei, Kimberly T., Katus, Linn E., Kuo, Sheng-Han, Shah, Hiral, Waters, Cheryl, Winfield, Linda M., Beck, James C., Przedborski, Serge, Fahn, Stanley, and Alcalay, Roy N.
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- 2022
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35. Distinct profiles of LRRK2 activation and Rab GTPase phosphorylation in clinical samples from different PD cohorts
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Petropoulou-Vathi, Lilian, Simitsi, Athina, Valkimadi, Politymi-Eleni, Kedariti, Maria, Dimitrakopoulos, Lampros, Koros, Christos, Papadimitriou, Dimitra, Papadimitriou, Alexandros, Stefanis, Leonidas, Alcalay, Roy N., and Rideout, Hardy J.
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- 2022
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36. Lipid level alteration in human and cellular models of alpha synuclein mutations
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Avisar, Hila, Guardia-Laguarta, Cristina, Surface, Matthew, Papagiannakis, Nikos, Maniati, Matina, Antonellou, Roubina, Papadimitriou, Dimitra, Koros, Christos, Athanassiadou, Aglaia, Przedborski, Serge, Lerner, Boaz, Stefanis, Leonidas, Area-Gomez, Estela, and Alcalay, Roy N.
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- 2022
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37. Tools for communicating risk for Parkinson’s disease
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Cook, Lola, Schulze, Jeanine, Uhlmann, Wendy R., Verbrugge, Jennifer, Marder, Karen, Lee, Annie J., Wang, Yuanjia, Alcalay, Roy N., Nance, Martha, and Beck, James C.
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- 2022
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38. LRRK2 kinase activity regulates GCase level and enzymatic activity differently depending on cell type in Parkinson’s disease
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Kedariti, Maria, Frattini, Emanuele, Baden, Pascale, Cogo, Susanna, Civiero, Laura, Ziviani, Elena, Zilio, Gianluca, Bertoli, Federico, Aureli, Massimo, Kaganovich, Alice, Cookson, Mark R., Stefanis, Leonidas, Surface, Matthew, Deleidi, Michela, Di Fonzo, Alessio, Alcalay, Roy N., Rideout, Hardy, Greggio, Elisa, and Plotegher, Nicoletta
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- 2022
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39. Skin α‐Synuclein Seeding Activity in Patients with Type 1 Gaucher Disease.
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LoPiccolo, Mary Kate, Wang, Zerui, Eshed, Gadi Maayan, Fierro, Luca, Stauffer, Chanan, Wang, Kelly, Zhang, Jing, Tatsuoka, Curtis, Balwani, Manisha, Zou, Wen‐Quan, and Alcalay, Roy N.
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Background: Patients with type 1 Gaucher disease (GD1) have a significantly increased risk of developing Parkinson's disease (PD). Objective: The objective of this study was to evaluate skin α‐synuclein (αSyn) seeding activity as a biomarker for GD1‐related PD (GD1‐PD). Methods: This single‐center study administered motor and cognitive examinations and questionnaires of nonmotor symptoms to adult patients with GD1. Optional skin biopsy was performed for skin αSyn seed amplification assay (αSyn SAA) using real‐time quaking‐induced conversion assay. Results: Forty‐nine patients were enrolled, and 36 underwent skin biopsy. Two study participants had PD. Ten participants were αSyn SAA positive (27.8%), 7 (19.4%) were intermediate, and 19 (52.8%) were negative. Positive αSyn seeding activity was observed in the single GD1‐PD case who consented to biopsy. αSyn SAA positivity was associated with older age (p = 0.043), although αSyn SAA positivity was more prevalent in patients with GD1 than historic controls. Conclusions: Longitudinal follow‐up is required to determine whether skin αSyn seeding activity can be an early biomarker for GD1‐PD. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society. [ABSTRACT FROM AUTHOR]
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- 2024
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40. Respiratory-Swallow Coordination and Its Relationship With Pharyngeal Residue, Penetration, and Aspiration in People With Parkinson's Disease.
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Curtis, James A., Borders, James C., Kiefer, Brianna, Alcalay, Roy N., Huber, Jessica E., and Troche, Michelle S.
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PLETHYSMOGRAPHY ,NASAL cavity ,STATISTICAL models ,CROSS-sectional method ,DATA analysis ,RESPIRATION ,FUNCTIONAL assessment ,PARKINSON'S disease ,RESPIRATORY aspiration ,DESCRIPTIVE statistics ,PHARYNX ,ODDS ratio ,LUNG volume measurements ,ENDOSCOPIC gastrointestinal surgery ,STATISTICS ,DEGLUTITION ,COMPARATIVE studies ,DATA analysis software ,DEGLUTITION disorders ,INTER-observer reliability - Abstract
Purpose: Respiratory-swallow coordination (RSC) frequently changes in people with Parkinson's disease (PwPD). Little is known about how these changes relate to impairments in swallowing safety (penetration and aspiration) and efficiency (pharyngeal residue). Therefore, the aims of this study were to assess the relationships between RSC, pharyngeal residue, penetration, and aspiration in PwPD. Method: Twenty-four PwPD were recruited to undergo simultaneous assessment of RSC, swallowing safety, and swallowing efficiency. RSC was assessed using respiratory inductive plethysmography and nasal airflow and included measurements of respiratory pause duration, respiratory phase patterning, and lung volume during swallowing. Swallowing safety and efficiency were assessed using flexible endoscopic evaluation of swallowing, analyzed using the Visual Analysis of Swallowing Efficiency and Safety, and included measurements of pharyngeal residue, penetration, and aspiration. All data were blindly analyzed, with 20% of the data repeated for interrater reliability assessment. Multilevel statistical models were used to examine the relationships between RSC and swallowing. Results: A total of 812 swallows were analyzed from 24 participants. Only 33.4% of swallows exhibited the typical exhale-swallow-exhale pattern. Additionally, 95% of participants exhibited abnormal swallow function. More severe hypophar-yngeal residue ratings were associated with inhaling before the swallow compared to exhaling before the swallow. Additionally, more severe events of penetration and aspiration were associated with (a) inhaling before the swallow compared to exhaling before the swallow, (b) inhaling after the swallow compared to exhaling after the swallow, and (c) longer swallow-related respiratory pause durations. Inhaling after the swallow exhibited the strongest relationship with impairments in swallowing safety when compared to all other RSC variables. Conclusions: RSC exhibited significant relationships with pharyngeal residue, penetration, and aspiration in these PwPD. Clinicians should attend to RSC when assessing swallowing in PwPD. Future research is needed to examine if training an exhale-swallow-exhale pattern can be used to improve disordered swallowing in PwPD. [ABSTRACT FROM AUTHOR]
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- 2024
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41. Long-Term Dementia Risk in Parkinson Disease.
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Gallagher, Julia, Gochanour, Caroline, Caspell-Garcia, Chelsea, Dobkin, Roseanne D., Aarsland, Dag, Alcalay, Roy N., Barrett, Matthew J., Chahine, Lana, Chen-Plotkin, Alice S., Coffey, Christopher S., Dahodwala, Nabila, Eberling, Jamie L., Espay, Alberto J., Leverenz, James B., Litvan, Irene, Mamikonyan, Eugenia, Morley, James, Richard, Irene H., Rosenthal, Liana, and Siderowf, Andrew D.
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- 2024
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42. Unmet Need in Early-Onset Parkinson's Disease: Deep Brain Stimulation and Pregnancy.
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Smilowska, Katarzyna, Mehanna, Raja, Fleisher, Jori E., Alcalay, Roy N., Kumar, Kishore Raj, Marras, Connie, Oosterbaan, Annelien M., Post, Bart, Ross, Owen A., Pimentel Piemonte, Maria Elisa, Fraix, Valerie, Moro, Elena, King Tan, Eng, and Savica, Rodolfo
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DEEP brain stimulation ,PARKINSON'S disease ,CHILDBEARING age ,MATERNAL age ,BRAIN diseases - Abstract
Pregnancy in women with early-onset Parkinson's disease (PD) is likely to have a higher frequency given the trend toward increasing maternal age, thus resulting in a greater overlap time between childbearing age and PD risk. Deep brain stimulation (DBS) therapy is nowadays offered to PD patients at earlier stage of the disease, when women can still be pre-menopausal. However, few data are available about DBS safety during pregnancy. From a review of the available literature, only one article was published on this topic so far. Therefore, we have developed a clinical consensus on the safety of DBS during pregnancy in PD patients. [ABSTRACT FROM AUTHOR]
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- 2024
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43. Cerebrospinal fluid, plasma, and saliva in the BioFIND study: Relationships among biomarkers and Parkinson's disease Features
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Goldman, Jennifer G, Andrews, Howard, Amara, Amy, Naito, Anna, Alcalay, Roy N, Shaw, Leslie M, Taylor, Peggy, Xie, Tao, Tuite, Paul, Henchcliffe, Claire, Hogarth, Penelope, Frank, Samuel, Saint‐Hilaire, Marie‐Helene, Frasier, Mark, Arnedo, Vanessa, Reimer, Alyssa N, Sutherland, Margaret, Swanson‐Fischer, Christine, Gwinn, Katrina, Discovery, The Fox Investigation of New Biomarker, and Kang, Un Jung
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Parkinson's Disease ,Clinical Research ,Brain Disorders ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Neurosciences ,Acquired Cognitive Impairment ,Aging ,Neurodegenerative ,Dementia ,Aetiology ,4.1 Discovery and preclinical testing of markers and technologies ,Detection ,screening and diagnosis ,2.1 Biological and endogenous factors ,Neurological ,Aged ,Amyloid beta-Peptides ,Biomarkers ,Cohort Studies ,Correlation of Data ,Cross-Sectional Studies ,Female ,Humans ,Male ,Middle Aged ,Parkinson Disease ,Peptide Fragments ,Postural Balance ,Saliva ,Sensation Disorders ,United States ,alpha-Synuclein ,tau Proteins ,Fox Investigation of New Biomarker Discovery ,alpha-synuclein ,amyloid ,cerebrospinal fluid ,postural instability gait difficulty ,tau ,Clinical Sciences ,Human Movement and Sports Sciences ,Neurology & Neurosurgery - Abstract
ObjectiveExamine relationships among neurodegenerative biomarkers and PD motor and nonmotor symptoms.BackgroundCSF alpha-synuclein is decreased in PD versus healthy controls, but whether plasma and saliva alpha-synuclein differentiate these groups is controversial. Correlations of alpha-synuclein among biofluids (CSF, plasma, saliva) or biomarkers (eg, beta-amyloid, tau [total, phosphorylated]) are not fully understood. The relationships of these biomarkers with PD clinical features remain unclear.MethodsBioFIND, a cross-sectional, observational study, examines clinical and biomarker characteristics in moderate-advanced PD and matched healthy controls. We compared alpha-synuclein concentrations across diagnosis, biofluids, and CSF biomarkers. Correlations of CSF biomarkers and MDS-UPDRS, motor phenotype, MoCA, and rapid eye movement sleep behavior disorder questionnaire scores in PD were examined.ResultsCSF alpha-synuclein was lower in PD versus controls (P = .01), controlling for age, gender, and education. Plasma and saliva alpha-synuclein did not differ between PD and controls, and alpha-synuclein did not significantly correlate among biofluids. CSF beta-amyloid1-42 was lower in PD versus controls (P
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- 2018
44. Genetics of Non-Motor Symptoms of Parkinson’s Disease
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Senkevich, Konstantin, primary, Alcalay, Roy N., additional, and Gan-Or, Ziv, additional
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- 2022
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45. Genome-wide association study of glucocerebrosidase activity modifiers.
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Somerville, Emma N, primary, Krohn, Lynne, additional, Senkevich, Konstantin, additional, Yu, Eric, additional, Ahmad, Jamil, additional, Asayesh, Farnaz, additional, Ruskey, Jennifer A., additional, Spiegelman, Dan, additional, Fahn, Stanley, additional, Waters, Cheryl, additional, Sardi, S. Pablo, additional, Alcalay, Roy N., additional, and Gan-Or, Ziv, additional
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- 2024
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46. The Parkinson’s disease risk gene cathepsin B promotes fibrillar alpha-synuclein clearance, lysosomal function and glucocerebrosidase activity in dopaminergic neurons
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Jones-Tabah, Jace, primary, He, Kathy, additional, Senkevich, Konstantin, additional, Karpilovsky, Nathan, additional, Deyab, Ghislaine, additional, Cousineau, Yuting, additional, Nikanorova, Daria, additional, Goldsmith, Taylor, additional, Pellitero, Esther del-Cid, additional, Chen, Carol XQ, additional, Luo, Wen, additional, You, Zhipeng, additional, Abdian, Narges, additional, Pietrantonio, Isabella, additional, Goiran, Thomas, additional, Ahmad, Jamil, additional, Ruskey, Jennifer A, additional, Asayesh, Farnaz, additional, Spiegelman, Dan, additional, Waters, Cheryl, additional, Monchi, Oury, additional, Dauvilliers, Yves, additional, Dupre, Nicolas, additional, Miliukhina, Irina, additional, Timofeeva, Alla, additional, Emelyanov, Anton, additional, Pchelina, Sofya, additional, Greenbaum, Lior, additional, HassinBaer, Sharon, additional, Alcalay, Roy N, additional, Milnerwood, Austen, additional, Durcan, Thomas M, additional, Gan-Or, Ziv, additional, and Fon, Edward A, additional
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- 2024
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47. Genetics of cognitive dysfunction in Parkinson's disease
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Wise, Adina H., primary and Alcalay, Roy N., additional
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- 2022
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48. Diagnosis and Medical Management of Parkinson Disease
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Thaler, Avner and Alcalay, Roy N.
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- 2022
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49. Venglustat in GBA1-related Parkinson's disease – Authors' reply
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Sardi, S Pablo, primary, Giladi, Nir, additional, Alcalay, Roy N, additional, Cuer, Gary, additional, Gasser, Thomas, additional, Gurevich, Tanya, additional, Höglinger, Günter U, additional, Marek, Kenneth, additional, PaccheE, Claudio, additional, Schapira, Anthony H V, additional, Scherzer, Clemens R, additional, Simuni, Tanya, additional, Minini, Pascal, additional, and Peterschmi, M Judith, additional
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- 2024
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50. Genetics of Parkinson's Disease in Underrepresented Populations: New Studies Pave the Way
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Gan‐Or, Ziv, primary and Alcalay, Roy N., additional
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- 2024
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