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8 citation(s) found for "Shulman, Joshua".

Rare but Relevant? Assessing Variants in Dystonia‐Linked Genes in Parkinson's Disease
Screven, Laurel A. , Tan, Ai Huey , Fenn, Matilda, Frost, Joshua L.I., Jankovic, Joseph, Jasaityte, Simona , Jeon, Beomseok , Sarmiento, Ignacio Juan Keller , Krüger, Rejko , Kuhlenbäumer, Gregor , Schirinzi, Tommaso , Shulman, Joshua M., Uitti, Ryan J. , Wu, Lesley , Zeuner, Kirsten E., Blauwendraat, Cornelis , Singleton, Andrew, Lohmann, Katja , (GP2), the Global Parkinson's Genetics Program, Tan, Ai Huey , Jeon, Beom Seok , Lin, Chin-Hsien , Schirinzi, Tommaso , Shin, Jung Hwan , Tay, Yi Wen , Uitti, Ryan, Warner, Thomas T. , Wszolek, Z.K. , Wu, Ruey-Meei , Blauwendraat, Cornelis , Morris, Huw R , Lohmann, Katja , Lange, Lara Mariah , Fang, Zih‐Hua , Alcalay, Roy N. , Amouri, Rim , Bovenzi, Roberta , Frost, Joshua L.I., Jankovic, Joseph J. , Jaunmuktane, Zane , Lin, Chin‐Hsien , Pavelka, Lukas , Periñán, María Teresa , Sassi, Samia Ben , Shulman, Joshua M. , Wszołek, Zbigniew K. , Wu, Ruey‐Meei , Singleton, Andrew , Mencacci, Niccolò Emanuele , Morris, Huw R. , Lim, Shen‐Yang , Klein, Christine , (GP2), the Global Parkinson's Genetics Program

Mayo Clinic

Movement Disorders | October 11, 2025 | Volume: 41 | Issue: 1 | Pages: 247-259

10.1002/mds.70073 | PMID 41074695 Get It

Abstract Background Dystonia and Parkinson's disease (PD) exhibit clinical and genetic overlap, but the relevance of dystonia gene variants in PD remains unclear. Objective The aim was to assess the frequency of dystonia‐linked pathogenic variants in PD. Methods We screened sequencing data from 15,684 individuals (8272 PD, 3200 atypical parkinsonism, and 4212 unaffected) from the Global Parkinson's Genetics Program (GP2) and Accelerating Medicines Partnership‐Parkinson's Disease (AMP‐PD) for variants in genes linked to isolated dystonia, dystonia‐parkinsonism, and myoclonus‐dystonia. Results Pathogenic variants were identified only in PD patients. Forty‐five PD individuals (0.54%) carried 26 distinct (likely) pathogenic variants in nine dystonia‐linked genes, most frequently in GCH1 , followed by VPS16 . Conclusion Though rare, pathogenic variants in dystonia‐linked genes are present in clinically and pathologically diagnosed PD. Our results reinforce GCH1 as a PD‐relevant gene with clinical implications, whereas variants identified in other genes are rare and of uncertain relation to the PD phenotype. © 2025 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
A consensus proteomic analysis of Alzheimer’s disease brain and cerebrospinal fluid reveals early changes in energy metabolism associated with microglia and astrocyte activation
Ping, Lingyan , Zhou, Maotian , Yin, Luming, Higginbotham, Lenora A., Guajardo, Andrew, White, Bartholomew, Troncoso, Juan C. , Thambisetty, Madhav , Montine, Thomas J. , Lee, Eddie B, Trojanowski, John Q. , Beach, Thomas G. , Reiman, Eric M. , Haroutunian, Vahram , Schadt, Eric E. , Zhang, Bin , Ertekin‐Taner, Nilüfer , Golde, Todd E. , Jager, Philip L. De , Hajjar, Ihab , Shulman, Joshua M. , Seyfried, Nicholas T. , Johnson, Erik C. B. , Dammer, Eric B. , Duong, Duc M , Seyfried, Nicholas T , Wang, Minghui , Dickson, Dennis W. , Petyuk, Vladislav , Bennett, David A. , Wingo, Thomas S , Rangaraju, Srikant , Lah, James J. , Levey, Allan I.

Mayo Clinic

Alzheimer's & Dementia | December 7, 2020 | Volume: 16 | Issue: S2 | Pages: No page available

10.1002/alz.039504 Get It

AbstractBackgroundOur understanding of the biological changes in the brain associated with Alzheimer’s disease (AD) pathology and cognitive impairment remains incomplete. Unbiased discovery proteomic analysis of AD brain can help to increase our understanding of these changes.MethodWe analyzed dorsolateral prefrontal cortex, precuneus, and temporal cortex of control, asymptomatic AD, and AD brains from multiple different centers by label‐free quantitative mass spectrometry and weighted protein co‐expression analysis to obtain a consensus protein co‐expression network of AD brain. We also analyzed cerebrospinal fluid to investigate potential biomarkers related to this network.ResultThe network consisted of 13 protein co‐expression modules. Six of these modules correlated with amyloid‐β plaque burden, tau neurofibrillary tangle burden, cognitive function, and clinical functional status, and were altered in asymptomatic AD, AD, or in both disease states. These six modules reflected synaptic, mitochondrial, sugar metabolism, extracellular matrix, cytoskeletal, and RNA binding/splicing biological functions. The identified protein network modules were preserved in a community‐based cohort analyzed by a different quantitative mass spectrometry approach. They were also preserved in temporal lobe and precuneus brain regions. Some of the modules were influenced by aging, and showed changes in other neurodegenerative diseases such as frontotemporal dementia and corticobasal degeneration. The module most strongly associated with AD pathology and cognitive impairment was the sugar metabolism module. This module was enriched in AD genetic risk factors, and was also highly enriched in microglia and astrocyte protein markers associated with an anti‐inflammatory state, suggesting that the biological functions it represents may serve a protective role in AD. Proteins from the sugar metabolism module were increased in cerebrospinal fluid from asymptomatic AD and AD cases, highlighting their potential as biomarkers of the altered brain network.ConclusionIn this study of >2000 brains and nearly 400 cerebrospinal fluid samples by quantitative proteomics, we identify proteins and biological processes in AD brain that may serve as therapeutic targets and fluid biomarkers for the disease.
Comprehensive Analysis of Familial Parkinsonism Genes in Rapid‐Eye‐Movement Sleep Behavior Disorder
Mufti, Kheireddin , Rudakou, Uladzislau , Krohn, Lynne , Ruskey, Jennifer A. , Asayesh, Farnaz , Laurent, Sandra B., Spiegelman, Dan , Arnulf, Isabelle , Hu, Michele T.M., Montplaisir, Jacques , Gagnon, Jean‐François , Désautels, Alex , Janes, Francesco , Högl, Birgit , Stefani, Ambra , Holzknecht, Evi , Oertel, Wolfgang H. , Janzen, Annette , Figorilli, Michela , Puligheddu, Monica , Mollenhauer, Brit , Trenkwalder, Claudia , Sixel‐Döring, Friederike , Monaca, Christelle, Heidbreder, Anna , Dijkstra, Femke , Viaene, Mineke , Abril, Beatriz, Shulman, Joshua , Cochen De Cock, Valérie , Gan-Or, Ziv , Stefani, Ambra , Arnulf, Isabelle , Hu, Michele T M , Högl, Birgit , Janes, Francesco , Figorilli, Michela , Puligheddu, Monica , Heidbreder, Anna , Yu, Eric , Dauvilliers, Yves , Gigli, Gian Luigi , Valente, Mariarosaria , Šonka, Karel , Kemlink, David , Plazzi, Giuseppe , Antelmi, Elena , Ferini-Strambi, Luigi , Boeve, Bradley F. , Postuma, Ronald B. , Rouleau, Guy Armand , Gan‐Or, Ziv

Mayo Clinic

Movement Disorders | October 1, 2020 | Volume: 36 | Issue: 1 | Pages: 235-240

10.1002/mds.28318 | PMID 33001463 Get It

ABSTRACT Background There is only partial overlap in the genetic background of isolated rapid‐eye‐movement sleep behavior disorder (iRBD) and Parkinson's disease (PD). Objective To examine the role of autosomal dominant and recessive PD or atypical parkinsonism genes in the risk of iRBD. Methods Ten genes, comprising the recessive genes PRKN , DJ‐1 (PARK7) , PINK1 , VPS13C , ATP13A2 , FBXO7 , and PLA2G6 and the dominant genes LRRK2 , GCH1 , and VPS35 , were fully sequenced in 1039 iRBD patients and 1852 controls of European ancestry, followed by association tests. Results We found no association between rare heterozygous variants in the tested genes and risk of iRBD. Several homozygous and compound heterozygous carriers were identified, yet there was no overrepresentation in iRBD patients versus controls. Conclusion Our results do not support a major role for variants in these genes in the risk of iRBD. © 2020 International Parkinson and Movement Disorder Society
Dopaminergic imaging and clinical predictors for phenoconversion of REM sleep behaviour disorder
Hu, Michele T, Šonka, Karel , Miyamoto, Tomoyuki , Puligheddu, Monica , Tachibana, Naoko , Rolinski, Michal , Dušek, Petr , Lowe, Val J. , Miyamoto, Masayuki , Figorilli, Michela , Verbizier, Delphine de, Bossert, Irene , Meli, Riccardo, Barber, Thomas R. , Miyagawa, Toji , Serra, Alessandra , Bauckneht, Matteo , Bradley, Kevin M. , Zogala, David , McGowan, Daniel R. , Jordan, Lennon, Manni, Raffaele , Shulman, Joshua , Dušek, Petr , Miyamoto, Tomoyuki , Hu, Michele T M , Sonka, Karel , Figorilli, Michela , Puligheddu, Monica , Arnaldi, Dario , Chincarini, A. , Boeve, Bradley F. , Cochen De Cock, Valérie , Terzaghi, Michele , Plazzi, Giuseppe , Morbelli, Silvia , Antelmi, Elena , Trnka, Jiří , Pizza, Fabio , Nobili, Flavio Mariano

Mayo Clinic

Brain | September 30, 2020 | Volume: 144 | Issue: 1 | Pages: 278-287

10.1093/brain/awaa365 | PMID 33348363 Get It

Abstract This is an international multicentre study aimed at evaluating the combined value of dopaminergic neuroimaging and clinical features in predicting future phenoconversion of idiopathic REM sleep behaviour (iRBD) subjects to overt synucleinopathy. Nine centres sent 123I-FP-CIT-SPECT data of 344 iRBD patients and 256 controls for centralized analysis. 123I-FP-CIT-SPECT images were semiquantified using DaTQUANTTM, obtaining putamen and caudate specific to non-displaceable binding ratios (SBRs). The following clinical variables were also analysed: (i) Movement Disorder Society-sponsored revision of the Unified Parkinson’s Disease Rating Scale, motor section score; (ii) Mini-Mental State Examination score; (iii) constipation; and (iv) hyposmia. Kaplan-Meier survival analysis was performed to estimate conversion risk. Hazard ratios for each variable were calculated with Cox regression. A generalized logistic regression model was applied to identify the best combination of risk factors. Bayesian classifier was used to identify the baseline features predicting phenoconversion to parkinsonism or dementia. After quality check of the data, 263 iRBD patients (67.6 ± 7.3 years, 229 males) and 243 control subjects (67.2 ± 10.1 years, 110 males) were analysed. Fifty-two (20%) patients developed a synucleinopathy after average follow-up of 2 years. The best combination of risk factors was putamen dopaminergic dysfunction of the most affected hemisphere on imaging, defined as the lower value between either putamina (P < 0.000001), constipation, (P < 0.000001) and age over 70 years (P = 0.0002). Combined features obtained from the generalized logistic regression achieved a hazard ratio of 5.71 (95% confidence interval 2.85–11.43). Bayesian classifier suggested that patients with higher Mini-Mental State Examination score and lower caudate SBR asymmetry were more likely to develop parkinsonism, while patients with the opposite pattern were more likely to develop dementia. This study shows that iRBD patients older than 70 with constipation and reduced nigro-putaminal dopaminergic function are at high risk of short-term phenoconversion to an overt synucleinopathy, providing an effective stratification approach for future neuroprotective trials. Moreover, we provide cut-off values for the significant predictors of phenoconversion to be used in single subjects.
Risk and predictors of dementia and parkinsonism in idiopathic REM sleep behaviour disorder: a multicentre study
Iranzo, Álex , Hu, Michele, Högl, Birgit , Manni, Raffaele , Oertel, Wolfgang H. , Arnulf, Isabelle , Puligheddu, Monica , Antelmi, Elena , Arnaldi, Dario , Mollenhauer, Brit , Šonka, Karel , Kunz, Dieter , Dauvilliers, Yves , Lewis, Simon J.G. , Heidbreder, Anna , Montplaisir, Jacques , Santamaría, Joan , Barber, Thomas R. , Stefani, Ambra , Louis, Erik K. St. , Janzen, Annette , Leu-Semenescu, Smandra, Sixel-Doering, F., Dušek, Petr , Bes, Frédérik , Gagnon, Jean‐François , Gaig, Carles , Zucconi, Marco , Trenkwalder, Claudia , Lo, Christine , Rolinski, Michal , Mahlknecht, Philipp , Holzknecht, Evi , Boeve, Angel R, Teigen, Luke, Toscano, Gianpaolo , Mayer, Geert , Morbelli, Silvia , Dawson, Benjamin, Pelletier, Amélie , Shulman, Joshua , St Louis, Erik K, Teigen, Luke N, St Louis, E K , Antelmi, Elena , Lewis, Simon J G , Dušek, Petr , Dauvilliers, Yves , Stefani, Ambra , Postuma, Ronald B. , Boeve, Bradley F. , Ferini-Strambi, Luigi , Cochen De Cock, Valérie , Videnovic, Aleksandar , Jung, Ki‐Young , Provini, Federica , Buskova, Jitka , Pavlova, Milena K. , Terzaghi, Michele , Leu‐Semenescu, Smaranda , Plazzi, Giuseppe , Nobili, Flavio Mariano , Cortelli, Pietro , Ehgoetz Martens, Kaylena , Gan‐Or, Ziv , Boeve, Angelica, Arnulf, Isabelle , Hu, Michele T M , Högl, Birgit , Sonka, Karel , Puligheddu, Monica , Heidbreder, Anna , Arnaldi, Dario

Mayo Clinic

Brain | January 26, 2019 | Volume: 142 | Issue: 3 | Pages: 744-759

10.1093/brain/awz030 | PMID 30789229 Get It

Full sequencing and haplotype analysis of MAPT in Parkinson's disease and rapid eye movement sleep behavior disorder
Li, Jiao , Ruskey, Jennifer A. , Arnulf, Isabelle , Dauvilliers, Yves , Hu, Michele T.M., Högl, Birgit , Leblond, Claire S. , Ambalavanan, Amirthagowri , Ross, Jay P. , Bourassa, Cynthia V., Spiegelman, Dan , Laurent, Sandra B., Stefani, Ambra , Monaca, Christelle, Boivin, Michel , Antelmi, Elena , Young, Peter, Heidbreder, Anna , Ferman, Tanis J. , Dion, Patrick A. , Désautels, Alex , Gagnon, Jean‐François, Dupré, Nicolas , Montplaisir, Jacques , Boeve, Bradley F., Ross, Owen A. , Shulman, Joshua , Labbé, Catherine, Antelmi, Elena , Ross, Owen A , Dauvilliers, Yves , Ferman, Tanis J , Stefani, Ambra , Zhou, Sirui , Cochen De Cock, Valérie , Ferini-Strambi, Luigi , Plazzi, Giuseppe , Labbé, Catherine , Fan, Dongsheng , Fon, Edward A , Boeve, Bradley F. , Postuma, Ronald B. , Rouleau, Guy Armand , Gan‐Or, Ziv , Arnulf, Isabelle , Hu, Michele T M , Högl, Birgit , Heidbreder, Anna

Mayo Clinic

Movement Disorders | May 14, 2018 | Volume: 33 | Issue: 6 | Pages: 1016-1020

10.1002/mds.27385 | PMID 29756641 Get It

ABSTRACT Background: MAPT haplotypes are associated with PD, but their association with rapid eye movement sleep behavior disorder is unclear. Objective: To study the role of MAPT variants in rapid eye movement sleep behavior disorder. Methods: Two cohorts were included: (A) PD (n = 600), rapid eye movement sleep behavior disorder (n = 613) patients, and controls (n = 981); (B) dementia with Lewy bodies patients with rapid eye movement sleep behavior disorder (n = 271) and controls (n = 950). MAPT ‐associated variants and the entire coding sequence of MAPT were analyzed. Age‐, sex‐, and ethnicity‐adjusted analyses were performed to examine the association between MAPT , PD, and rapid eye movement sleep behavior disorder. Results: MAPT‐ H2 variants were associated with PD (odds ratios: 0.62‐0.65; P = 0.010‐0.019), but not with rapid eye movement sleep behavior disorder. In PD, the H1 haplotype odds ratio was 1.60 (95% confidence interval: 1.12‐2.28; P = 0.009), and the H2 odds ratio was 0.68 (95% confidence interval: 0.48‐0.96; P = 0.03). The H2/H1 haplotypes were not associated with rapid eye movement sleep behavior disorder. Conclusions: Our results confirm the protective effect of the MAPT ‐H2 haplotype in PD, and define its components. Furthermore, our results suggest that MAPT does not play a major role in rapid eye movement sleep behavior disorder, emphasizing different genetic background than in PD in this locus. © 2018 International Parkinson and Movement Disorder Society
Tauopathy in Drosophila : Neurodegeneration Without Neurofibrillary Tangles
Wittmann, Curtis W., Wszolek, Matthew , Shulman, Joshua M. , Salvaterra, Paul M. , Lewis, Jada , Hutton, Mike, Feany, Mel Β.

Mayo Clinic

Science | March 28, 2006 | Volume: 293 | Issue: 5530 | Pages: 711-714

10.1126/science.1062382 | PMID 11408621 Get It

The microtubule-binding protein tau has been implicated in the pathogenesis of Alzheimer's disease and related disorders. However, the mechanisms underlying tau-mediated neurotoxicity remain unclear. We created a genetic model of tau-related neurodegenerative disease by expressing wild-type and mutant forms of human tau in the fruit fly Drosophila melanogaster . Transgenic flies showed key features of the human disorders: adult onset, progressive neurodegeneration, early death, enhanced toxicity of mutant tau, accumulation of abnormal tau, and relative anatomic selectivity. However, neurodegeneration occurred without the neurofibrillary tangle formation that is seen in human disease and some rodent tauopathy models. This fly model may allow a genetic analysis of the cellular mechanisms underlying tau neurotoxicity.