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Tropea TF, Hartstone W, Amari N, Baum D, Rick J, Suh E, Zhang H, Paul RA, Han N, Zack R, Brody EM, Albuja I, James J, Spindler M, Deik A, Aamodt WW, Dahodwala N, Hamedani A, Lasker A, Hurtig H, Stern M, Weintraub D, Vaswani P, Willis AW, Siderowf A, Xie SX, Van Deerlin V, Chen-Plotkin AS. Genetic and phenotypic characterization of Parkinson's disease at the clinic-wide level. NPJ Parkinsons Dis 2024; 10:97. [PMID: 38702337 PMCID: PMC11068880 DOI: 10.1038/s41531-024-00690-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 03/19/2024] [Indexed: 05/06/2024] Open
Abstract
Observational studies in Parkinson's disease (PD) deeply characterize relatively small numbers of participants. The Molecular Integration in Neurological Diagnosis Initiative seeks to characterize molecular and clinical features of every PD patient at the University of Pennsylvania (UPenn). The objectives of this study are to determine the feasibility of genetic characterization in PD and assess clinical features by sex and GBA1/LRRK2 status on a clinic-wide scale. All PD patients with clinical visits at the UPenn PD Center between 9/2018 and 12/2022 were eligible. Blood or saliva were collected, and a clinical questionnaire administered. Genotyping at 14 GBA1 and 8 LRRK2 variants was performed. PD symptoms were compared by sex and gene groups. 2063 patients were approached and 1,689 (82%) were enrolled, with 374 (18%) declining to participate. 608 (36%) females were enrolled, 159 (9%) carried a GBA1 variant, and 44 (3%) carried a LRRK2 variant. Compared with males, females across gene groups more frequently reported dystonia (53% vs 46%, p = 0.01) and anxiety (64% vs 55%, p < 0.01), but less frequently reported cognitive impairment (10% vs 49%, p < 0.01) and vivid dreaming (53% vs 60%, p = 0.01). GBA1 variant carriers more frequently reported anxiety (67% vs 57%, p = 0.04) and depression (62% vs 46%, p < 0.01) than non-carriers; LRRK2 variant carriers did not differ from non-carriers. We report feasibility for near-clinic-wide enrollment and characterization of individuals with PD during clinical visits at a high-volume academic center. Clinical symptoms differ by sex and GBA1, but not LRRK2, status.
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Affiliation(s)
- Thomas F Tropea
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Whitney Hartstone
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Noor Amari
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Dylan Baum
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Jacqueline Rick
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
- Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Eunran Suh
- Department of Pathology and Laboratory Medicine, Philadelphia, PA, USA
| | - Hanwen Zhang
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Rachel A Paul
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Noah Han
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Rebecca Zack
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Eliza M Brody
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Isabela Albuja
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Justin James
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Meredith Spindler
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Andres Deik
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Whitley W Aamodt
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Nabila Dahodwala
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Ali Hamedani
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
- Department of Ophthalmology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
- Parkinson's Disease Research, Education and Clinical Centers (PADRECC), Philadelphia Veterans Affairs Medical Center, Philadelphia, PA, USA
| | - Aaron Lasker
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Howard Hurtig
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Matthew Stern
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Daniel Weintraub
- Parkinson's Disease Research, Education and Clinical Centers (PADRECC), Philadelphia Veterans Affairs Medical Center, Philadelphia, PA, USA
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Pavan Vaswani
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
- Parkinson's Disease Research, Education and Clinical Centers (PADRECC), Philadelphia Veterans Affairs Medical Center, Philadelphia, PA, USA
| | - Allison W Willis
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
- Parkinson's Disease Research, Education and Clinical Centers (PADRECC), Philadelphia Veterans Affairs Medical Center, Philadelphia, PA, USA
| | - Andrew Siderowf
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Sharon X Xie
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | | | - Alice S Chen-Plotkin
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
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Simuni T, Chahine LM, Poston K, Brumm M, Buracchio T, Campbell M, Chowdhury S, Coffey C, Concha-Marambio L, Dam T, DiBiaso P, Foroud T, Frasier M, Gochanour C, Jennings D, Kieburtz K, Kopil CM, Merchant K, Mollenhauer B, Montine T, Nudelman K, Pagano G, Seibyl J, Sherer T, Singleton A, Stephenson D, Stern M, Soto C, Tanner CM, Tolosa E, Weintraub D, Xiao Y, Siderowf A, Dunn B, Marek K. A biological definition of neuronal α-synuclein disease: towards an integrated staging system for research. Lancet Neurol 2024; 23:178-190. [PMID: 38267190 DOI: 10.1016/s1474-4422(23)00405-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 09/27/2023] [Accepted: 10/06/2023] [Indexed: 01/26/2024]
Abstract
Parkinson's disease and dementia with Lewy bodies are currently defined by their clinical features, with α-synuclein pathology as the gold standard to establish the definitive diagnosis. We propose that, given biomarker advances enabling accurate detection of pathological α-synuclein (ie, misfolded and aggregated) in CSF using the seed amplification assay, it is time to redefine Parkinson's disease and dementia with Lewy bodies as neuronal α-synuclein disease rather than as clinical syndromes. This major shift from a clinical to a biological definition of Parkinson's disease and dementia with Lewy bodies takes advantage of the availability of tools to assess the gold standard for diagnosis of neuronal α-synuclein (n-αsyn) in human beings during life. Neuronal α-synuclein disease is defined by the presence of pathological n-αsyn species detected in vivo (S; the first biological anchor) regardless of the presence of any specific clinical syndrome. On the basis of this definition, we propose that individuals with pathological n-αsyn aggregates are at risk for dopaminergic neuronal dysfunction (D; the second biological anchor). Our biological definition establishes a staging system, the neuronal α-synuclein disease integrated staging system (NSD-ISS), rooted in the biological anchors (S and D) and the degree of functional impairment caused by clinical signs or symptoms. Stages 0-1 occur without signs or symptoms and are defined by the presence of pathogenic variants in the SNCA gene (stage 0), S alone (stage 1A), or S and D (stage 1B). The presence of clinical manifestations marks the transition to stage 2 and beyond. Stage 2 is characterised by subtle signs or symptoms but without functional impairment. Stages 2B-6 require both S and D and stage-specific increases in functional impairment. A biological definition of neuronal α-synuclein disease and an NSD-ISS research framework are essential to enable interventional trials at early disease stages. The NSD-ISS will evolve to include the incorporation of data-driven definitions of stage-specific functional anchors and additional biomarkers as they emerge and are validated. Presently, the NSD-ISS is intended for research use only; its application in the clinical setting is premature and inappropriate.
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Affiliation(s)
- Tanya Simuni
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
| | - Lana M Chahine
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kathleen Poston
- Department of Neurology, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Michael Brumm
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Teresa Buracchio
- Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Michelle Campbell
- Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Sohini Chowdhury
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Christopher Coffey
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | | | | | - Peter DiBiaso
- Patient Advisory Council, New York, NY, USA; Clinical Solutions and Strategic Partnerships, WCG Clinical, Princeton, NJ, USA
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, IN, USA
| | - Mark Frasier
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Caroline Gochanour
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | | | - Karl Kieburtz
- Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA
| | - Catherine M Kopil
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Kalpana Merchant
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Brit Mollenhauer
- Department of Neurology, University Medical Center Göttingen and Paracelsus-Elena-Klinik, Kassel, Germany
| | - Thomas Montine
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Kelly Nudelman
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, IN, USA
| | | | - John Seibyl
- Institute for Neurodegenerative Disorders, New Haven, CT, USA
| | - Todd Sherer
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Andrew Singleton
- National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Diane Stephenson
- Critical Path for Parkinson's, Critical Path Institute, Tucson, AZ, USA
| | - Matthew Stern
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Claudio Soto
- Amprion, San Diego, CA, USA; Mitchell Center for Alzheimer's Disease and Related Brain Disorders, Department of Neurology, University of Texas McGovern Medical School at Houston, Houston, TX, USA
| | - Caroline M Tanner
- Movement Disorders and Neuromodulation Center, Department of Neurology, Weill Institute for Neuroscience, University of California, San Francisco, CA, USA; Parkinson's Disease Research Education and Clinical Center, San Francisco Veterans Affairs Health Care System, San Francisco, CA, USA
| | - Eduardo Tolosa
- Parkinson's Disease and Movement Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas, Hospital Clínic, IDIBAPS, Universitat de Barcelona, Barcelona, Spain
| | - Daniel Weintraub
- University of Pennsylvania and the Parkinson's Disease and Mental Illness Research, Education and Clinical Centers, Philadelphia Veterans Affairs Medical Center Philadelphia, PA, USA
| | - Yuge Xiao
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Andrew Siderowf
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Billy Dunn
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Kenneth Marek
- Institute for Neurodegenerative Disorders, New Haven, CT, USA
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Siderowf A, Concha-Marambio L, Marek K, Soto C. α-synuclein seed amplification in Parkinson's disease - Authors' reply. Lancet Neurol 2023; 22:985-986. [PMID: 37863605 DOI: 10.1016/s1474-4422(23)00371-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 09/22/2023] [Indexed: 10/22/2023]
Affiliation(s)
- Andrew Siderowf
- Department of Neurology, Penn Perelman School of Medicine, Philadelphia, PA 19107, USA.
| | | | - Kenneth Marek
- Institute for Neurodegenerative Disorders, New Haven, CT, USA
| | - Claudio Soto
- Department of Neurology, University of Texas McGovern Medical School at Houston, TX, USA
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Vaswani PA, Morley JF, Jennings D, Siderowf A, Marek K. Predictive value of abbreviated olfactory tests in prodromal Parkinson disease. NPJ Parkinsons Dis 2023; 9:103. [PMID: 37386033 DOI: 10.1038/s41531-023-00530-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 05/22/2023] [Indexed: 07/01/2023] Open
Abstract
There is disagreement in the literature whether olfaction may show specific impairments in Parkinson Disease (PD) and if olfactory tests comprised of selected odors could be more specific for diagnosis. We sought to validate previously proposed subsets of the University of Pennsylvania Smell Identification Test (UPSIT) odors for predicting conversion to PD in an independent, prodromal cohort. Conversion to PD was assessed in 229 participants in the Parkinson At Risk Study who completed baseline olfactory testing with the UPSIT and up to 12 years of clinical and imaging evaluations. No commercially available or proposed subset performed better than the full 40-item UPSIT. The proposed "PD-specific" subsets also did not perform better than expected by chance. We did not find evidence for selective olfactory impairment in Parkinson disease. Shorter odor identification tests, including commercially available 10-12 item tests, may have utility for ease of use and cost, but not for superior predictive value.
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Affiliation(s)
- Pavan A Vaswani
- Parkinson's Disease Research, Education and Clinical Center, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA.
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - James F Morley
- Parkinson's Disease Research, Education and Clinical Center, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Danna Jennings
- The Institute for Neurodegenerative Disorders, New Haven, CT, USA
| | - Andrew Siderowf
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kenneth Marek
- The Institute for Neurodegenerative Disorders, New Haven, CT, USA
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James JG, Park J, Oliver A, Xie SX, Siderowf A, Spindler M, Wechsler LR, Tropea TF. Linked Patient and Provider Impressions of Outpatient Teleneurology Encounters. Neurol Clin Pract 2023; 13:e200159. [PMID: 37153752 PMCID: PMC10155606 DOI: 10.1212/cpj.0000000000200159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 02/27/2023] [Indexed: 05/10/2023]
Abstract
Background and Objectives Teleneurology is common in clinical practice partly due to the SARS CoV-2 pandemic. Impressions about teleneurology from patients and providers alike are generally favorable; some of the reported benefits include ease of access to specialized health care, savings of time and money, and similar quality of care as an in-person visit. However, comparisons between patient and provider impressions about the same teleneurology encounter have not been described. In this study, we describe patient impressions about a teleneurology encounter and evaluate concordance with provider impressions about the same encounter. Methods Patients and providers at the University of Pennsylvania Hospital Neurology Department were surveyed about their impressions of teleneurology between April 27, 2020, and June 16, 2020. A convenience sample of patients, whose providers completed a questionnaire, were contacted by telephone to solicit their impressions about the same encounter. Unique questionnaires for patients and providers focused on similar themes, such as adequacy of technology, assessment of history obtained, and overall quality of the visit. Summaries of patient responses are reported with the raw percent agreement between patients and providers for similar questions. Results One hundred thirty-seven patients completed the survey; 64 (47%) were male and 73 (53%) were female. Sixty-six (47%) patients had a primary diagnosis of PD, 42 (30%) a non-PD/parkinsonism movement disorder, and 29 (21%) a nonmovement disorder neurologic disease. One hundred one (76%) were established patient visits and 36 (26%) were new patient visits. Provider responses from 8 different physicians were included. Most of the patients responded that the ease of joining their visit, their comfort engaging with their physicians during their visit, understanding their plan of care after their visit, and the quality of care from their teleneurology visit were satisfactory. Patients and providers agreed about their impressions of the quality of the history obtained (87% agreement), patient-provider relationship (88% agreement), and overall quality of their experience (70% agreement). Discussion Patients had favorable impressions about their clinical experience with teleneurology and expressed an interest in incorporating telemedicine visits into their ongoing care. Patients and providers were highly concordant for the history obtained, patient-provider relationship, and overall quality.
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Affiliation(s)
- Justin G James
- Department of Neurology (JGJ, JP, AO, AS, MS, LRW, TFT), Perelman School of Medicine at the University of Pennsylvania, Philadelphia; CW Psychological Services (JP), King of Prussia, PA; and Department of Biostatistics (SXX), Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Jane Park
- Department of Neurology (JGJ, JP, AO, AS, MS, LRW, TFT), Perelman School of Medicine at the University of Pennsylvania, Philadelphia; CW Psychological Services (JP), King of Prussia, PA; and Department of Biostatistics (SXX), Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Alexandria Oliver
- Department of Neurology (JGJ, JP, AO, AS, MS, LRW, TFT), Perelman School of Medicine at the University of Pennsylvania, Philadelphia; CW Psychological Services (JP), King of Prussia, PA; and Department of Biostatistics (SXX), Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Sharon X Xie
- Department of Neurology (JGJ, JP, AO, AS, MS, LRW, TFT), Perelman School of Medicine at the University of Pennsylvania, Philadelphia; CW Psychological Services (JP), King of Prussia, PA; and Department of Biostatistics (SXX), Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Andrew Siderowf
- Department of Neurology (JGJ, JP, AO, AS, MS, LRW, TFT), Perelman School of Medicine at the University of Pennsylvania, Philadelphia; CW Psychological Services (JP), King of Prussia, PA; and Department of Biostatistics (SXX), Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Meredith Spindler
- Department of Neurology (JGJ, JP, AO, AS, MS, LRW, TFT), Perelman School of Medicine at the University of Pennsylvania, Philadelphia; CW Psychological Services (JP), King of Prussia, PA; and Department of Biostatistics (SXX), Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Lawrence R Wechsler
- Department of Neurology (JGJ, JP, AO, AS, MS, LRW, TFT), Perelman School of Medicine at the University of Pennsylvania, Philadelphia; CW Psychological Services (JP), King of Prussia, PA; and Department of Biostatistics (SXX), Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Thomas F Tropea
- Department of Neurology (JGJ, JP, AO, AS, MS, LRW, TFT), Perelman School of Medicine at the University of Pennsylvania, Philadelphia; CW Psychological Services (JP), King of Prussia, PA; and Department of Biostatistics (SXX), Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
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Weintraub D, Picillo M, Cho HR, Caspell‐Garcia C, Blauwendraat C, Brown EG, Chahine LM, Coffey CS, Dobkin RD, Foroud T, Galasko D, Kieburtz K, Marek K, Merchant K, Mollenhauer B, Poston KL, Simuni T, Siderowf A, Singleton A, Seibyl J, Tanner CM. Impact of the Dopamine System on Long-Term Cognitive Impairment in Parkinson Disease: An Exploratory Study. Mov Disord Clin Pract 2023; 10:943-955. [PMID: 37332638 PMCID: PMC10272925 DOI: 10.1002/mdc3.13751] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 03/09/2023] [Accepted: 04/02/2023] [Indexed: 06/20/2023] Open
Abstract
Background Little is known about the impact of the dopamine system on development of cognitive impairment (CI) in Parkinson disease (PD). Objectives We used data from a multi-site, international, prospective cohort study to explore the impact of dopamine system-related biomarkers on CI in PD. Methods PD participants were assessed annually from disease onset out to 7 years, and CI determined by applying cut-offs to four measures: (1) Montreal Cognitive Assessment; (2) detailed neuropsychological test battery; (3) Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) cognition score; and (4) site investigator diagnosis of CI (mild cognitive impairment or dementia). The dopamine system was assessed by serial Iodine-123 Ioflupane dopamine transporter (DAT) imaging, genotyping, and levodopa equivalent daily dose (LEDD) recorded at each assessment. Multivariate longitudinal analyses, with adjustment for multiple comparisons, determined the association between dopamine system-related biomarkers and CI, including persistent impairment. Results Demographic and clinical variables associated with CI were higher age, male sex, lower education, non-White race, higher depression and anxiety scores and higher MDS-UPDRS motor score. For the dopamine system, lower baseline mean striatum dopamine transporter values (P range 0.003-0.005) and higher LEDD over time (P range <0.001-0.01) were significantly associated with increased risk for CI. Conclusions Our results provide preliminary evidence that alterations in the dopamine system predict development of clinically-relevant, cognitive impairment in Parkinson's disease. If replicated and determined to be causative, they demonstrate that the dopamine system is instrumental to cognitive health status throughout the disease course. TRIAL REGISTRATION Parkinson's Progression Markers Initiative is registered with ClinicalTrials.gov (NCT01141023).
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Affiliation(s)
- Daniel Weintraub
- Department of PsychiatryPerelman School of Medicine at the University of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Marina Picillo
- Assistant Professor in Neurology at the Department of Medicine, Surgery and Dentistry “Scuola Medica Salernitana”University of SalernoItaly
| | - Hyunkeun Ryan Cho
- Department of Biostatistics, College of Public HealthUniversity of IowaIowa CityIowaUSA
| | | | - Cornelis Blauwendraat
- Center for Alzheimer's and Related Dementias, and the Integrative Neurogenomics Unit, Laboratory of NeurogeneticsNational Institute on Aging, National Institutes of HealthBethesdaMarylandUSA
| | - Ethan G. Brown
- Department of NeurologyWeill Institute for Neurosciences, University of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Lana M. Chahine
- Department of NeurologyUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Christopher S. Coffey
- Department of Biostatistics, College of Public HealthUniversity of IowaIowa CityIowaUSA
| | - Roseanne D. Dobkin
- Department of PsychiatryRutgers University, Robert Wood Johnson Medical SchoolPiscatawayNew JerseyUSA
| | - Tatiana Foroud
- Department of Medical and Molecular GeneticsIndiana UniversityIndianapolisIndianaUSA
| | - Doug Galasko
- Department of NeurologyUniversity of CaliforniaSan DiegoCaliforniaUSA
| | - Karl Kieburtz
- Department of NeurologyUniversity of Rochester Medical CenterRochesterNew YorkUSA
| | - Kenneth Marek
- Institute for Neurodegenerative DisordersNew HavenConnecticutUSA
| | - Kalpana Merchant
- Department of NeurologyNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Brit Mollenhauer
- Department of NeurologyUniversity Medical Center GoettingenGoettingenGermany
| | - Kathleen L. Poston
- Department of Neurology and Neurological SciencesStanford UniversityStanfordCaliforniaUSA
| | - Tanya Simuni
- Department of NeurologyNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Andrew Siderowf
- Department of NeurologyPerelman School of Medicine, University of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Andrew Singleton
- Center for Alzheimer's and Related Dementias, and the Molecular Genetics SectionLaboratory of Neurogenetics, National Institute on Aging, National Institutes of HealthBethesdaMarylandUSA
| | - John Seibyl
- Institute for Neurodegenerative DisordersNew HavenConnecticutUSA
| | - Caroline M. Tanner
- Department of NeurologyWeill Institute for Neurosciences, University of California, San FranciscoSan FranciscoCaliforniaUSA
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7
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Siderowf A, Concha-Marambio L, Lafontant DE, Farris CM, Ma Y, Urenia PA, Nguyen H, Alcalay RN, Chahine LM, Foroud T, Galasko D, Kieburtz K, Merchant K, Mollenhauer B, Poston KL, Seibyl J, Simuni T, Tanner CM, Weintraub D, Videnovic A, Choi SH, Kurth R, Caspell-Garcia C, Coffey CS, Frasier M, Oliveira LMA, Hutten SJ, Sherer T, Marek K, Soto C. Assessment of heterogeneity among participants in the Parkinson's Progression Markers Initiative cohort using α-synuclein seed amplification: a cross-sectional study. Lancet Neurol 2023; 22:407-417. [PMID: 37059509 PMCID: PMC10627170 DOI: 10.1016/s1474-4422(23)00109-6] [Citation(s) in RCA: 132] [Impact Index Per Article: 132.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 03/01/2023] [Accepted: 03/07/2023] [Indexed: 04/16/2023]
Abstract
BACKGROUND Emerging evidence shows that α-synuclein seed amplification assays (SAAs) have the potential to differentiate people with Parkinson's disease from healthy controls. We used the well characterised, multicentre Parkinson's Progression Markers Initiative (PPMI) cohort to further assess the diagnostic performance of the α-synuclein SAA and to examine whether the assay identifies heterogeneity among patients and enables the early identification of at-risk groups. METHODS This cross-sectional analysis is based on assessments done at enrolment for PPMI participants (including people with sporadic Parkinson's disease from LRRK2 and GBA variants, healthy controls, prodromal individuals with either rapid eye movement sleep behaviour disorder (RBD) or hyposmia, and non-manifesting carriers of LRRK2 and GBA variants) from 33 participating academic neurology outpatient practices worldwide (in Austria, Canada, France, Germany, Greece, Israel, Italy, the Netherlands, Norway, Spain, the UK, and the USA). α-synuclein SAA analysis of CSF was performed using previously described methods. We assessed the sensitivity and specificity of the α-synuclein SAA in participants with Parkinson's disease and healthy controls, including subgroups based on genetic and clinical features. We established the frequency of positive α-synuclein SAA results in prodromal participants (RBD and hyposmia) and non-manifesting carriers of genetic variants associated with Parkinson's disease, and compared α-synuclein SAA to clinical measures and other biomarkers. We used odds ratio estimates with 95% CIs to measure the association between α-synuclein SAA status and categorical measures, and two-sample 95% CIs from the resampling method to assess differences in medians between α-synuclein SAA positive and negative participants for continuous measures. A linear regression model was used to control for potential confounders such as age and sex. FINDINGS This analysis included 1123 participants who were enrolled between July 7, 2010, and July 4, 2019. Of these, 545 had Parkinson's disease, 163 were healthy controls, 54 were participants with scans without evidence of dopaminergic deficit, 51 were prodromal participants, and 310 were non-manifesting carriers. Sensitivity for Parkinson's disease was 87·7% (95% CI 84·9-90·5), and specificity for healthy controls was 96·3% (93·4-99·2). The sensitivity of the α-synuclein SAA in sporadic Parkinson's disease with the typical olfactory deficit was 98·6% (96·4-99·4). The proportion of positive α-synuclein SAA was lower than this figure in subgroups including LRRK2 Parkinson's disease (67·5% [59·2-75·8]) and participants with sporadic Parkinson's disease without olfactory deficit (78·3% [69·8-86·7]). Participants with LRRK2 variant and normal olfaction had an even lower α-synuclein SAA positivity rate (34·7% [21·4-48·0]). Among prodromal and at-risk groups, 44 (86%) of 51 of participants with RBD or hyposmia had positive α-synuclein SAA (16 of 18 with hyposmia, and 28 of 33 with RBD). 25 (8%) of 310 non-manifesting carriers (14 of 159 [9%] LRRK2 and 11 of 151 [7%] GBA) were positive. INTERPRETATION This study represents the largest analysis so far of the α-synuclein SAA for the biochemical diagnosis of Parkinson's disease. Our results show that the assay classifies people with Parkinson's disease with high sensitivity and specificity, provides information about molecular heterogeneity, and detects prodromal individuals before diagnosis. These findings suggest a crucial role for the α-synuclein SAA in therapeutic development, both to identify pathologically defined subgroups of people with Parkinson's disease and to establish biomarker-defined at-risk cohorts. FUNDING PPMI is funded by the Michael J Fox Foundation for Parkinson's Research and funding partners, including: Abbvie, AcureX, Aligning Science Across Parkinson's, Amathus Therapeutics, Avid Radiopharmaceuticals, Bial Biotech, Biohaven, Biogen, BioLegend, Bristol-Myers Squibb, Calico Labs, Celgene, Cerevel, Coave, DaCapo Brainscience, 4D Pharma, Denali, Edmond J Safra Foundation, Eli Lilly, GE Healthcare, Genentech, GlaxoSmithKline, Golub Capital, Insitro, Janssen Neuroscience, Lundbeck, Merck, Meso Scale Discovery, Neurocrine Biosciences, Prevail Therapeutics, Roche, Sanofi Genzyme, Servier, Takeda, Teva, UCB, VanquaBio, Verily, Voyager Therapeutics, and Yumanity.
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Affiliation(s)
- Andrew Siderowf
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
| | | | - David-Erick Lafontant
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Carly M Farris
- Research and Development Unit, Amprion, San Diego, CA, USA
| | - Yihua Ma
- Research and Development Unit, Amprion, San Diego, CA, USA
| | - Paula A Urenia
- Research and Development Unit, Amprion, San Diego, CA, USA
| | - Hieu Nguyen
- Research and Development Unit, Amprion, San Diego, CA, USA
| | - Roy N Alcalay
- Department of Neurology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel; Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
| | - Lana M Chahine
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Douglas Galasko
- Department of Neurology, University of California, San Diego, CA, USA
| | - Karl Kieburtz
- University of Rochester Medical Center, University of Rochester, Rochester, NY, USA
| | - Kalpana Merchant
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Brit Mollenhauer
- Department of Neurology, University Medical Center Göttingen, Göttingen, Germany; Paracelsus-Elena Klinik, Kassel, and German Center for Neurodegenerative Diseases, Göttingen, Germany
| | - Kathleen L Poston
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - John Seibyl
- Institute for Neurodegenerative Disorders, New Haven, CT, USA
| | - Tanya Simuni
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Caroline M Tanner
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA; Parkinson's Disease Research, Education and Clinical Center, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA
| | - Daniel Weintraub
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Parkinson's Disease Research, Education and Clinical Center, Philadelphia Veterans Affairs Medical Center, Philadelphia, PA, USA
| | - Aleksandar Videnovic
- Department of Neurology, Neurological Clinical Research Institute, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Seung Ho Choi
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Ryan Kurth
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Chelsea Caspell-Garcia
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Christopher S Coffey
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Mark Frasier
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Luis M A Oliveira
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Samantha J Hutten
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Todd Sherer
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Kenneth Marek
- Institute for Neurodegenerative Disorders, New Haven, CT, USA
| | - Claudio Soto
- Research and Development Unit, Amprion, San Diego, CA, USA; Department of Neurology, University of Texas McGovern Medical School at Houston, TX, USA
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8
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Chahine LM, Merchant K, Siderowf A, Sherer T, Tanner C, Marek K, Simuni T. Proposal for a Biologic Staging System of Parkinson's Disease. J Parkinsons Dis 2023; 13:297-309. [PMID: 37066922 DOI: 10.3233/jpd-225111] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
The Parkinson's disease (PD) research field has seen the advent of several promising biomarkers and a deeper understanding of the clinical features of the disease from the earliest stages of pathology to manifest disease. Despite progress, a biologically based PD staging system does not exist. Such staging would be a useful framework within which to model the disease, develop and validate biomarkers, guide therapeutic development, and inform clinical trials design. We propose that the presence of aggregated neuronal α-synuclein, dopaminergic neuron dysfunction/degeneration, and clinical signs and symptoms identifies a group of individuals that have Lewy body pathology, which in early stages manifests with what is now referred to as prodromal non-motor features and later stages with the manifestations of PD and related Lewy body diseases as defined by clinical diagnostic criteria. Based on the state of the field, we herein propose a definition and staging of PD based on biology. We present the biologic basis for such a staging system and review key assumptions and evidence that support the proposed approach. We identify gaps in knowledge and delineate crucial research priorities that will inform the ultimate integrated biologic staging system for PD.
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Affiliation(s)
- Lana M Chahine
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kalpana Merchant
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Andrew Siderowf
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Todd Sherer
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Caroline Tanner
- Department of Neurology, Weill Institute for Neurosciences, University of San Francisco, San Francisco, CA, USA
| | | | - Tanya Simuni
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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9
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Brumm MC, Pierz KA, Lafontant DE, Caspell-Garcia C, Coffey CS, Siderowf A, Marek K. Updated Percentiles for the University of Pennsylvania Smell Identification Test in Adults 50 Years of Age and Older. Neurology 2023; 100:e1691-e1701. [PMID: 36849448 PMCID: PMC10115503 DOI: 10.1212/wnl.0000000000207077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 01/05/2023] [Indexed: 03/01/2023] Open
Abstract
BACKGROUND AND OBJECTIVES The University of Pennsylvania Smell Identification Test (UPSIT) is commonly used to assess olfaction and screen for early detection of disorders including Parkinson's (PD) and Alzheimer's disease. Our objective was to develop updated percentiles, based on substantially larger samples than previous norms, to more finely discriminate age- and sex-specific UPSIT performance among ≥50-year-old adults who may be candidates for studies of prodromal neurodegenerative diseases. METHODS The UPSIT was administered cross-sectionally to participants recruited between 2007-2010 and 2013-2015 for the Parkinson Associated Risk Syndrome (PARS) and Parkinson's Progression Markers Initiative (PPMI) cohort studies, respectively. Exclusion criteria included age <50 years and a confirmed or suspected PD diagnosis. Demographics, family history, and prodromal features of PD including self-reported hyposmia were collected. Normative data including means, standard deviations, and percentiles were derived by age and sex. RESULTS The analytic sample included 9,396 individuals (5,336 females, 4,060 males), aged 50-95, who were predominantly White, non-Hispanic US residents. UPSIT percentiles were derived and are provided across seven age categories (50-54, 55-59, 60-64, 65-69, 70-74, 75-79, and ≥80) for females and males separately; relative to existing norms, subgroups included between 2.4-20 times as many participants. Olfactory function declined with age and was better among women than men; accordingly, the percentile corresponding to a given raw score varied markedly by age and sex. UPSIT performance was comparable among individuals with vs without first-degree family history of PD. Comparisons of self-reported hyposmia vs UPSIT percentiles indicated a strong association (chi-squared P<0.0001), but minimal agreement (Cohen's simple kappa [95% CI]: = 0.32 [0.28-0.36] for females; 0.34 [0.30-0.38] for males). DISCUSSION Updated age/sex-specific UPSIT percentiles are provided for ≥50-year-old adults who reflect a population likely to be recruited into studies of prodromal neurodegenerative diseases. Our findings highlight the potential advantages of evaluating olfaction relative to age and sex instead of in absolute terms (e.g., based on raw UPSIT scores) or based on subjective (i.e., self-reported) measures. This information addresses the need to support studies of disorders including PD and Alzheimer's disease by providing updated normative data from a larger sample of older adults.
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Affiliation(s)
- Michael C Brumm
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA
| | | | - David-Erick Lafontant
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA
| | - Chelsea Caspell-Garcia
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA
| | - Christopher S Coffey
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA
| | - Andrew Siderowf
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Kenneth Marek
- Institute for Neurodegenerative Disorders, New Haven, CT
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10
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Marras C, Alcalay RN, Siderowf A, Postuma RB. Challenges in the study of individuals at risk for Parkinson disease. Handb Clin Neurol 2023; 192:219-229. [PMID: 36796944 DOI: 10.1016/b978-0-323-85538-9.00014-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
Identifying individuals at high risk for developing neurodegenerative disease opens the possibility of conducting clinical trials that intervene at an earlier stage of neurodegeneration than has been possible to date, and in doing so hopefully improves the odds of efficacy for interventions aimed at slowing or stopping the disease process. The long prodromal phase of Parkinson disease presents opportunities and challenges to establishing cohorts of at-risk individuals. Recruiting people with genetic variants conferring increased risk and people with REM sleep behavior disorder currently constitutes the most promising strategies, but multistage screening of the general population may also be feasible capitalizing on known risk factors and prodromal features. This chapter discusses the challenges involved in identifying, recruiting, and retaining these individuals, and provides insights into possible solutions using examples from studies to date.
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Affiliation(s)
- Connie Marras
- The Edmond J Safra Program in PD, Toronto Western Hospital, University of Toronto, Toronto, ON, Canada.
| | - Roy N Alcalay
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, United States; Division of Movement Disorders, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Andrew Siderowf
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Ronald B Postuma
- Department of Neurology, McGill University, Montreal, QC, Canada
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11
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Brumm MC, Siderowf A, Simuni T, Burghardt E, Choi SH, Caspell-Garcia C, Chahine LM, Mollenhauer B, Foroud T, Galasko D, Merchant K, Arnedo V, Hutten SJ, O’Grady AN, Poston KL, Tanner CM, Weintraub D, Kieburtz K, Marek K, Coffey CS. Parkinson's Progression Markers Initiative: A Milestone-Based Strategy to Monitor Parkinson's Disease Progression. J Parkinsons Dis 2023; 13:899-916. [PMID: 37458046 PMCID: PMC10578214 DOI: 10.3233/jpd-223433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 06/24/2023] [Indexed: 07/18/2023]
Abstract
BACKGROUND Identifying a meaningful progression metric for Parkinson's disease (PD) that reflects heterogeneity remains a challenge. OBJECTIVE To assess the frequency and baseline predictors of progression to clinically relevant motor and non-motor PD milestones. METHODS Using data from the Parkinson's Progression Markers Initiative (PPMI) de novo PD cohort, we monitored 25 milestones across six domains ("walking and balance"; "motor complications"; "cognition"; "autonomic dysfunction"; "functional dependence"; "activities of daily living"). Milestones were intended to be severe enough to reflect meaningful disability. We assessed the proportion of participants reaching any milestone; evaluated which occurred most frequently; and conducted a time-to-first-event analysis exploring whether baseline characteristics were associated with progression. RESULTS Half of participants reached at least one milestone within five years. Milestones within the cognitive, functional dependence, and autonomic dysfunction domains were reached most often. Among participants who reached a milestone at an annual follow-up visit and remained active in the study, 82% continued to meet criteria for any milestone at one or more subsequent annual visits and 55% did so at the next annual visit. In multivariable analysis, baseline features predicting faster time to reaching a milestone included age (p < 0.0001), greater MDS-UPDRS total scores (p < 0.0001), higher GDS-15 depression scores (p = 0.0341), lower dopamine transporter binding (p = 0.0043), and lower CSF total α-synuclein levels (p = 0.0030). Symptomatic treatment was not significantly associated with reaching a milestone (p = 0.1639). CONCLUSION Clinically relevant milestones occur frequently, even in early PD. Milestones were significantly associated with baseline clinical and biological markers, but not with symptomatic treatment. Further studies are necessary to validate these results, further assess the stability of milestones, and explore translating them into an outcome measure suitable for observational and therapeutic studies.
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Affiliation(s)
- Michael C. Brumm
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Andrew Siderowf
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Tanya Simuni
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Elliot Burghardt
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Seung Ho Choi
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Chelsea Caspell-Garcia
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Lana M. Chahine
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Brit Mollenhauer
- Department of Neurology, University Medical Center Goettingen, Goettingen, Germany
- Paracelsus-Elena Klinik, Kassel, Germany
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Douglas Galasko
- Department of Neurology, University of California, San Diego, CA, USA
| | - Kalpana Merchant
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Vanessa Arnedo
- The Michael J. Fox Foundation for Parkinson’s Research, New York, NY, USA
| | - Samantha J. Hutten
- The Michael J. Fox Foundation for Parkinson’s Research, New York, NY, USA
| | - Alyssa N. O’Grady
- The Michael J. Fox Foundation for Parkinson’s Research, New York, NY, USA
| | - Kathleen L. Poston
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Caroline M. Tanner
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, SanFrancisco, CA, USA
- Parkinson’s Disease Research, Education and Clinical Center, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA
| | - Daniel Weintraub
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Departmentof Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Parkinson’s Disease Research, Education and Clinical Center, Philadelphia Veterans Affairs Medical Center, Philadelphia, PA, USA
| | - Karl Kieburtz
- University of Rochester Medical Center, University of Rochester, Rochester, NY, USA
| | - Kenneth Marek
- Institute for Neurodegenerative Disorders, New Haven, CT, USA
| | - Christopher S. Coffey
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - on behalf of the Parkinson’s Progression Markers Initiative
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Neurology, University Medical Center Goettingen, Goettingen, Germany
- Paracelsus-Elena Klinik, Kassel, Germany
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Neurology, University of California, San Diego, CA, USA
- The Michael J. Fox Foundation for Parkinson’s Research, New York, NY, USA
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, SanFrancisco, CA, USA
- Parkinson’s Disease Research, Education and Clinical Center, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA
- Departmentof Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Parkinson’s Disease Research, Education and Clinical Center, Philadelphia Veterans Affairs Medical Center, Philadelphia, PA, USA
- University of Rochester Medical Center, University of Rochester, Rochester, NY, USA
- Institute for Neurodegenerative Disorders, New Haven, CT, USA
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12
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Coughlin DG, Hiniker A, Peterson C, Kim Y, Arezoumandan S, Giannini L, Pizzo D, Weintraub D, Siderowf A, Litvan I, Rissman RA, Galasko D, Hansen L, Trojanowski JQ, Lee E, Grossman M, Irwin D. Digital Histological Study of Neocortical Grey and White Matter Tau Burden Across Tauopathies. J Neuropathol Exp Neurol 2022; 81:953-964. [PMID: 36269086 PMCID: PMC9677241 DOI: 10.1093/jnen/nlac094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
3R/4R-tau species are found in Alzheimer disease (AD) and ∼50% of Lewy body dementias at autopsy (LBD+tau); 4R-tau accumulations are found in progressive supranuclear palsy (PSP) and corticobasal degeneration (CBD). Digital image analysis techniques can elucidate patterns of tau pathology more precisely than traditional methods but repeatability across centers is unclear. We calculated regional percentage areas occupied by tau pathological inclusions from the middle frontal cortex (MFC), superior temporal cortex (STC), and angular gyrus (ANG) from cases from the University of Pennsylvania and the University of California San Diego with AD, LBD+tau, PSP, or CBD (n = 150) using QuPath. In both cohorts, AD and LBD+tau had the highest grey and white matter tau burden in the STC (p ≤ 0.04). White matter tau burden was relatively higher in 4R-tauopathies than 3R/4R-tauopathies (p < 0.003). Grey and white matter tau were correlated in all diseases (R2=0.43-0.79, p < 0.04) with the greatest increase of white matter per unit grey matter tau observed in PSP (p < 0.02 both cohorts). Grey matter tau negatively correlated with MMSE in AD and LBD+tau (r = -4.4 to -5.4, p ≤ 0.02). These data demonstrate the feasibility of cross-institutional digital histology studies that generate finely grained measurements of pathology which can be used to support biomarker development and models of disease progression.
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Affiliation(s)
- David G Coughlin
- From the Department of Neurosciences, University of California San Diego, La Jolla, California, USA
| | - Annie Hiniker
- Department of Pathology, University of California San Diego, La Jolla, California, USA
| | - Claire Peterson
- Digital Neuropathology Laboratory, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Yongya Kim
- From the Department of Neurosciences, University of California San Diego, La Jolla, California, USA
| | - Sanaz Arezoumandan
- Digital Neuropathology Laboratory, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Lucia Giannini
- Digital Neuropathology Laboratory, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Neurology, Erasmus University Medical Center, Alzheimer Center, Rotterdam, The Netherlands
| | - Donald Pizzo
- Center for Advanced Laboratory Medicine, University of California San Diego, La Jolla, California, USA
| | - Daniel Weintraub
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Andrew Siderowf
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Irene Litvan
- From the Department of Neurosciences, University of California San Diego, La Jolla, California, USA
| | - Robert A Rissman
- From the Department of Neurosciences, University of California San Diego, La Jolla, California, USA
| | - Douglas Galasko
- From the Department of Neurosciences, University of California San Diego, La Jolla, California, USA
| | - Lawrence Hansen
- Department of Pathology, University of California San Diego, La Jolla, California, USA
| | - John Q Trojanowski
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Edward Lee
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Murray Grossman
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - David Irwin
- Digital Neuropathology Laboratory, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Vaswani PA, Morley JF, Jennings D, Siderowf A, Marek K, Marek K, Seibyl J, Siderowf A, Stern M, Russell D, Sethi K, Frank S, Simuni T, Hauser R, Ravina B, Richards I, Liang G, Adler C, Saunders-Pullman R, Evatt ML, Lai E, Subramanian I, Hogarth P, Chung K. Serial olfactory testing for the diagnosis of prodromal Parkinson's disease in the PARS study. Parkinsonism Relat Disord 2022; 104:15-20. [PMID: 36194902 DOI: 10.1016/j.parkreldis.2022.09.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 08/28/2022] [Accepted: 09/11/2022] [Indexed: 01/09/2023]
Abstract
BACKGROUND The Parkinson Associated Risk Syndrome (PARS) study was designed to evaluate whether screening with olfactory testing and dopamine transporter (DAT) imaging could identify participants at risk for developing Parkinson's disease (PD). OBJECTIVE Hyposmia on a single test has been associated with increased risk of PD, but, taken alone, lacks specificity. We evaluated whether repeating olfactory testing improves the diagnostic characteristics of this screening approach. METHODS Participants completed up to 10 years of clinical and imaging evaluations in the PARS cohort. Olfaction was assessed with the University of Pennsylvania Smell Identification Test at baseline and on average 1.4 years later. Multiple logistic regression and Cox proportional hazards regression were used to estimate the hazard of development of clinical PD or abnormal DAT imaging. RESULTS Of 186 participants who were initially hyposmic, 28% reverted to normosmia on repeat testing (reverters). No initially normosmic subjects and only 2% of reverters developed DAT imaging progression or clinical PD, compared to 29% of subjects with persistent hyposmia who developed abnormal DAT and 20% who developed clinical PD. The relative risk of clinical conversion to PD was 8.3 (95% CI:0.92-75.2, p = 0.06) and of abnormal DAT scan was 12.5 (2.4-156.2, p = 0.005) for persistent hyposmia, compared to reversion. CONCLUSIONS Persistent hyposmia on serial olfactory testing significantly increases the risk of developing clinical PD and abnormal DAT imaging, compared to hyposmia on a single test. Repeat olfactory testing may be an efficient and cost-effective strategy to improve identification of at-risk patients for early diagnosis and disease modification studies.
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Affiliation(s)
- Pavan A Vaswani
- Parkinson's Disease Research, Education and Clinical Center, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - James F Morley
- Parkinson's Disease Research, Education and Clinical Center, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Danna Jennings
- Institute for Neurodegenerative Disorders, New Haven, CT, USA
| | - Andrew Siderowf
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kenneth Marek
- Institute for Neurodegenerative Disorders, New Haven, CT, USA
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14
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Doot RK, Young AJ, Nasrallah IM, Wetherill RR, Siderowf A, Mach RH, Dubroff JG. [ 18F]NOS PET Brain Imaging Suggests Elevated Neuroinflammation in Idiopathic Parkinson's Disease. Cells 2022; 11:3081. [PMID: 36231041 PMCID: PMC9563966 DOI: 10.3390/cells11193081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 09/23/2022] [Accepted: 09/27/2022] [Indexed: 11/16/2022] Open
Abstract
Neuroinflammation is implicated as a key pathologic mechanism in many neurodegenerative diseases and is thought to be mediated in large part by microglia, native phagocytic immune cells of the CNS. Abnormal aggregation of the protein α-synuclein after phagocytosis by microglia is one possible neuropathophysiological mechanism driving Parkinson's disease (PD). We conducted a human pilot study to evaluate the feasibility of targeting the inducible isoform of nitric oxide synthase using the [18F]NOS radiotracer to measure neuroinflammation in idiopathic PD. Ten adults consisting of 6 PD patients and 4 healthy controls (HC) underwent one hour of dynamic [18F]NOS positron emission tomography (PET) brain imaging with arterial blood sampling. We observed increased [18F]NOS whole brain distribution volume (VT) in PD patients compared to age-matched healthy controls (p < 0.008) via a 1-tissue compartment (TC) model. The rate constant K1 for transport from blood into tissue did not differ between groups (p = 0.72). These findings suggest elevated oxidative stress, a surrogate marker of inflammation, is present in early-stage idiopathic PD and indicate that [18F]NOS PET imaging is a promising, non-invasive method to measure neuroinflammation.
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Affiliation(s)
- Robert K. Doot
- Division of Nuclear Medicine Imaging and Therapy, Department of Radiology in the Perelman, School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Anthony J. Young
- Division of Nuclear Medicine Imaging and Therapy, Department of Radiology in the Perelman, School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Ilya M. Nasrallah
- Division of Nuclear Medicine Imaging and Therapy, Department of Radiology in the Perelman, School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Reagan R. Wetherill
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Andrew Siderowf
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Robert H. Mach
- Division of Nuclear Medicine Imaging and Therapy, Department of Radiology in the Perelman, School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jacob G. Dubroff
- Division of Nuclear Medicine Imaging and Therapy, Department of Radiology in the Perelman, School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
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15
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Atri R, Urban K, Marebwa B, Simuni T, Tanner C, Siderowf A, Frasier M, Haas M, Lancashire L. Deep Learning for Daily Monitoring of Parkinson's Disease Outside the Clinic Using Wearable Sensors. Sensors (Basel) 2022; 22:s22186831. [PMID: 36146181 PMCID: PMC9502239 DOI: 10.3390/s22186831] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 08/25/2022] [Accepted: 09/02/2022] [Indexed: 06/01/2023]
Abstract
Now that wearable sensors have become more commonplace, it is possible to monitor individual healthcare-related activity outside the clinic, unleashing potential for early detection of events in diseases such as Parkinson's disease (PD). However, the unsupervised and "open world" nature of this type of data collection make such applications difficult to develop. In this proof-of-concept study, we used inertial sensor data from Verily Study Watches worn by individuals for up to 23 h per day over several months to distinguish between seven subjects with PD and four without. Since motor-related PD symptoms such as bradykinesia and gait abnormalities typically present when a PD subject is walking, we initially used human activity recognition (HAR) techniques to identify walk-like activity in the unconstrained, unlabeled data. We then used these "walk-like" events to train one-dimensional convolutional neural networks (1D-CNNs) to determine the presence of PD. We report classification accuracies near 90% on single 5-s walk-like events and 100% accuracy when taking the majority vote over single-event classifications that span a duration of one day. Though based on a small cohort, this study shows the feasibility of leveraging unconstrained wearable sensor data to accurately detect the presence or absence of PD.
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Affiliation(s)
- Roozbeh Atri
- Cohen Veterans Bioscience, New York, NY 10018, USA
| | - Kevin Urban
- Cohen Veterans Bioscience, New York, NY 10018, USA
| | - Barbara Marebwa
- The Michael J Fox Foundation for Parkinson’s Research, New York, NY 10163, USA
| | - Tanya Simuni
- Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Caroline Tanner
- Department of Neurology, Weill Institute for Neurosciences University of California, San Francisco, CA 94143, USA
- Parkinson’s Disease Research Education and Clinical Center, San Francisco Veteran’s Affairs Medical Center, San Francisco, CA 94121, USA
| | - Andrew Siderowf
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Mark Frasier
- The Michael J Fox Foundation for Parkinson’s Research, New York, NY 10163, USA
| | - Magali Haas
- Cohen Veterans Bioscience, New York, NY 10018, USA
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16
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Mirelman A, Siderowf A, Chahine L. Outcome Assessment in Parkinson Disease Prevention Trials: Utility of Clinical and Digital Measures. Neurology 2022; 99:52-60. [PMID: 35970590 DOI: 10.1212/wnl.0000000000200236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 01/21/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES The prodromal phase of Parkinson disease (PD) is accompanied by subtle clinical signs that are not sufficient for diagnosis but could potentially be measured in the context of clinical trials of therapies intended to delay or prevent more definitive clinical features. The objective of this study was to review the available literature on the presence and time course of subtle motor features in prodromal PD in the context of planning for possible clinical trials. METHODS We reviewed the available literature based on expert opinion. We considered a range of outcomes including measurement of clinical features, patient-reported outcomes, digital markers, and clinical diagnosis. RESULTS We considered these features and measures in the context of patient stratification, intermediate outcomes, and clinically relevant end points, including phenoconversion. DISCUSSION Substantial progress has been made in understanding how motor features evolve in the period immediately before a PD diagnosis. Digital measures hold substantial progress for measurement precision and may be additionally relevant because they can be used in naturalistic environments outside the clinic. Future studies should focus on advancing digital sensor technology and analysis and developing methods to implement available methods, particularly determination of a clinical diagnosis of PD, in a clinical trial context.
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Affiliation(s)
- Anat Mirelman
- From the Sackler School of Medicine and Sagol School of Neuroscience (A.M.), Tel Aviv University, Israel; Department of Neurology (A.S.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; and Department of Neurology (L.C.), University of Pittsburgh, PA
| | - Andrew Siderowf
- From the Sackler School of Medicine and Sagol School of Neuroscience (A.M.), Tel Aviv University, Israel; Department of Neurology (A.S.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; and Department of Neurology (L.C.), University of Pittsburgh, PA.
| | - Lana Chahine
- From the Sackler School of Medicine and Sagol School of Neuroscience (A.M.), Tel Aviv University, Israel; Department of Neurology (A.S.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; and Department of Neurology (L.C.), University of Pittsburgh, PA
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17
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Walker IM, Cousins KA, Siderowf A, Duda JE, Morley JF, Dahodwala N, Tropea T, Vaishnavi S, Wolk DA, Chen-Plotkin AS, Shaw LM, Lee EB, Trojanowski JQ, Grossman M, Weintraub D, Irwin DJ. Non-tremor motor dysfunction in Lewy body dementias is associated with AD biomarkers. Parkinsonism Relat Disord 2022; 100:33-36. [PMID: 35700626 PMCID: PMC10078247 DOI: 10.1016/j.parkreldis.2022.05.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 05/22/2022] [Accepted: 05/29/2022] [Indexed: 11/25/2022]
Abstract
Motor features of Parkinson's disease (PD) are heterogeneous and well-studied; non-tremor features of postural instability and gait dysfunction (PIGD) have been linked to worse outcomes and Alzheimer's disease (AD) co-pathology. However, these features are understudied in Lewy body dementias (LBD). Here we perform retrospective analysis of a unique cohort of LBD (n = 30) with Unified Parkinson's Disease Rating Scale (UPDRS) data collected at baseline in proximity to cerebrospinal fluid collection to test the hypothesis that LBD patients with a positive AD biomarker profile (LBD + AD = 13) would have higher PIGD burden compared with LBD patients without AD biomarker positivity (LBD-AD = 17). We find novel evidence for selective impairment of PIGD burden in LBD + AD vs LBD-AD (OR = 1.95, 95%CI = 1.02-3.70, p = 0.04) and a direct association of increasing CSF tau/Aβ1-42 ratio with increasing PIGD disability in the total cohort (β = 0.23, SE = 0.08, p = 0.01). This unique biomarker stratification approach suggests AD co-pathology may contribute to PIGD motor signs in LBD.
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Affiliation(s)
- Ian M Walker
- University of Pennsylvania, Department of Neurology, Philadelphia, PA, 19104, United States
| | - Katheryn A Cousins
- University of Pennsylvania, Department of Neurology, Philadelphia, PA, 19104, United States
| | - Andrew Siderowf
- University of Pennsylvania, Department of Neurology, Philadelphia, PA, 19104, United States
| | - John E Duda
- University of Pennsylvania, Department of Neurology, Philadelphia, PA, 19104, United States; Michael J. Crescenz VA Medical Center, Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA, 19104, United States
| | - James F Morley
- University of Pennsylvania, Department of Neurology, Philadelphia, PA, 19104, United States
| | - Nabila Dahodwala
- University of Pennsylvania, Department of Neurology, Philadelphia, PA, 19104, United States
| | - Thomas Tropea
- University of Pennsylvania, Department of Neurology, Philadelphia, PA, 19104, United States
| | - Sanjeev Vaishnavi
- University of Pennsylvania, Department of Neurology, Philadelphia, PA, 19104, United States
| | - David A Wolk
- University of Pennsylvania, Department of Neurology, Philadelphia, PA, 19104, United States
| | - Alice S Chen-Plotkin
- University of Pennsylvania, Department of Neurology, Philadelphia, PA, 19104, United States
| | - Leslie M Shaw
- University of Pennsylvania, Department of Pathology and Laboratory Medicine, Philadelphia, PA, 19104, United States
| | - Edward B Lee
- University of Pennsylvania, Department of Pathology and Laboratory Medicine, Philadelphia, PA, 19104, United States
| | - John Q Trojanowski
- University of Pennsylvania, Department of Pathology and Laboratory Medicine, Philadelphia, PA, 19104, United States
| | - Murray Grossman
- University of Pennsylvania, Department of Neurology, Philadelphia, PA, 19104, United States
| | - Daniel Weintraub
- University of Pennsylvania, Department of Neurology, Philadelphia, PA, 19104, United States; Michael J. Crescenz VA Medical Center, Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA, 19104, United States; University of Pennsylvania, Department of Psychiatry, Philadelphia, PA, 19104, United States
| | - David J Irwin
- University of Pennsylvania, Department of Neurology, Philadelphia, PA, 19104, United States.
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18
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Jennings D, Huntwork-Rodriguez S, Henry AG, Sasaki JC, Meisner R, Diaz D, Solanoy H, Wang X, Negrou E, Bondar VV, Ghosh R, Maloney MT, Propson NE, Zhu Y, Maciuca RD, Harris L, Kay A, LeWitt P, King TA, Kern D, Ellenbogen A, Goodman I, Siderowf A, Aldred J, Omidvar O, Masoud ST, Davis SS, Arguello A, Estrada AA, de Vicente J, Sweeney ZK, Astarita G, Borin MT, Wong BK, Wong H, Nguyen H, Scearce-Levie K, Ho C, Troyer MD. Preclinical and clinical evaluation of the LRRK2 inhibitor DNL201 for Parkinson's disease. Sci Transl Med 2022; 14:eabj2658. [PMID: 35675433 DOI: 10.1126/scitranslmed.abj2658] [Citation(s) in RCA: 81] [Impact Index Per Article: 40.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Mutations in leucine-rich repeat kinase 2 (LRRK2) are the most common genetic risk factors for Parkinson's disease (PD). Increased LRRK2 kinase activity is thought to impair lysosomal function and may contribute to the pathogenesis of PD. Thus, inhibition of LRRK2 is a potential disease-modifying therapeutic strategy for PD. DNL201 is an investigational, first-in-class, CNS-penetrant, selective, ATP-competitive, small-molecule LRRK2 kinase inhibitor. In preclinical models, DNL201 inhibited LRRK2 kinase activity as evidenced by reduced phosphorylation of both LRRK2 at serine-935 (pS935) and Rab10 at threonine-73 (pT73), a direct substrate of LRRK2. Inhibition of LRRK2 by DNL201 demonstrated improved lysosomal function in cellular models of disease, including primary mouse astrocytes and fibroblasts from patients with Gaucher disease. Chronic administration of DNL201 to cynomolgus macaques at pharmacologically relevant doses was not associated with adverse findings. In phase 1 and phase 1b clinical trials in 122 healthy volunteers and in 28 patients with PD, respectively, DNL201 at single and multiple doses inhibited LRRK2 and was well tolerated at doses demonstrating LRRK2 pathway engagement and alteration of downstream lysosomal biomarkers. Robust cerebrospinal fluid penetration of DNL201 was observed in both healthy volunteers and patients with PD. These data support the hypothesis that LRRK2 inhibition has the potential to correct lysosomal dysfunction in patients with PD at doses that are generally safe and well tolerated, warranting further clinical development of LRRK2 inhibitors as a therapeutic modality for PD.
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Affiliation(s)
| | | | | | | | - René Meisner
- Denali Therapeutics Inc., South San Francisco, CA, USA
| | - Dolores Diaz
- Denali Therapeutics Inc., South San Francisco, CA, USA
| | - Hilda Solanoy
- Denali Therapeutics Inc., South San Francisco, CA, USA
| | - Xiang Wang
- Denali Therapeutics Inc., South San Francisco, CA, USA
| | - Elvira Negrou
- Denali Therapeutics Inc., South San Francisco, CA, USA
| | | | | | | | | | - Yuda Zhu
- Denali Therapeutics Inc., South San Francisco, CA, USA
| | | | - Laura Harris
- Denali Therapeutics Inc., South San Francisco, CA, USA
| | - Angela Kay
- Denali Therapeutics Inc., South San Francisco, CA, USA
| | | | | | - Drew Kern
- University of Colorado, School of Medicine, Aurora, CO, USA
| | - Aaron Ellenbogen
- Michigan Institute for Neurological Disorders, Farmington Hills, MI, USA
| | | | - Andrew Siderowf
- University of Pennsylvania, Penn Neurology Pennsylvania Hospital, Philadelphia, PA, USA
| | | | - Omid Omidvar
- Collaborative Neuroscience Research, Long Beach, CA, USA
| | | | | | | | | | | | | | - Giuseppe Astarita
- Denali Therapeutics Inc., South San Francisco, CA, USA.,Henry Ford Health System, Detroit, MI, USA
| | - Marie T Borin
- Denali Therapeutics Inc., South San Francisco, CA, USA
| | | | - Harvey Wong
- University of British Columbia, Vancouver, BC, Canada
| | - Hoang Nguyen
- Denali Therapeutics Inc., South San Francisco, CA, USA
| | | | - Carole Ho
- Denali Therapeutics Inc., South San Francisco, CA, USA
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19
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Weinshel S, Irwin DJ, Zhang P, Weintraub D, Shaw LM, Siderowf A, Xie SX. Appropriateness of Applying Cerebrospinal Fluid Biomarker Cutoffs from Alzheimer's Disease to Parkinson's Disease. J Parkinsons Dis 2022; 12:1155-1167. [PMID: 35431261 PMCID: PMC9934950 DOI: 10.3233/jpd-212989] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
BACKGROUND While cutoffs for abnormal levels of the cerebrospinal fluid (CSF) biomarkers amyloid-β 1-42 (Aβ142), total tau (t-tau), phosphorylated tau (p-tau), and the ratios of t-tau/Aβ142 and p-tau/Aβ142, have been established in Alzheimer's disease (AD), biologically relevant cutoffs have not been studied extensively in Parkinson's disease (PD). OBJECTIVE Assess the suitability and diagnostic accuracy of established AD-derived CSF biomarker cutoffs in the PD population. METHODS Baseline and longitudinal data on CSF biomarkers, cognitive diagnoses, and PET amyloid imaging in 423 newly diagnosed patients with PD from the Parkinson's Progression Markers Initiative (PPMI) cohort were used to evaluate established AD biomarker cutoffs compared with optimal cutoffs derived from the PPMI cohort. RESULTS Using PET amyloid imaging as the gold standard for AD pathology, the optimal cutoff of Aβ142 was higher than the AD cutoff, the optimal cutoffs of t-tau/Aβ142 and p-tau/Aβ142 were lower than the AD cutoffs, and their confidence intervals (CIs) did not overlap with the AD cutoffs. Optimal cutoffs for t-tau and p-tau to predict cognitive impairment were significantly lower than the AD cutoffs, and their CIs did not overlap with the AD cutoffs. CONCLUSION Optimal cutoffs for the PPMI cohort for Aβ142, t-tau/Aβ142, and p-tau/Aβ142 to predict amyloid-PET positivity and for t-tau and p-tau to predict cognitive impairment differ significantly from cutoffs derived from AD populations. The presence of additional pathologies such as alpha-synuclein in PD may lead to disease-specific CSF biomarker characteristics.
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Affiliation(s)
- Sarah Weinshel
- Swarthmore College, Swarthmore, PA, USA;,Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - David J. Irwin
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Panpan Zhang
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Daniel Weintraub
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA;,Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA;,Michael J. Crescenz VA Medical Center, Parkinson’s Disease Research, Education, and Clinical Center, Philadelphia, PA, USA
| | - Leslie M. Shaw
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Andrew Siderowf
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Sharon X. Xie
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
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20
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Hutchison RM, Evans KC, Fox T, Yang M, Barakos J, Bedell BJ, Cedarbaum JM, Brys M, Siderowf A, Lang AE. Evaluating dopamine transporter imaging as an enrichment biomarker in a phase 2 Parkinson's disease trial. BMC Neurol 2021; 21:459. [PMID: 34814867 PMCID: PMC8609885 DOI: 10.1186/s12883-021-02470-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 10/25/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Dopamine transporter single-photon emission computed tomography (DaT-SPECT) can quantify the functional integrity of the dopaminergic nerve terminals and has been suggested as an imaging modality to verify the clinical diagnosis of Parkinson's disease (PD). Depending on the stage of progression, approximately 5-15% of participants clinically diagnosed with idiopathic PD have been observed in previous studies to have normal DaT-SPECT patterns. However, the utility of DaT-SPECT in enhancing early PD participant selection in a global, multicenter clinical trial of a potentially disease-modifying therapy is not well understood. METHODS The SPARK clinical trial was a phase 2 trial of cinpanemab, a monoclonal antibody against alpha-synuclein, in participants with early PD. DaT-SPECT was performed at screening to select participants with DaT-SPECT patterns consistent with degenerative parkinsonism. Acquisition was harmonised across 82 sites. Images were reconstructed and qualitatively read at a central laboratory by blinded neuroradiologists for inclusion prior to automated quantitative analysis. RESULTS In total, 482 unique participants were screened between January 2018 and May 2019; 3.8% (15/398) of imaged participants were excluded owing to negative DaT-SPECT findings (i.e., scans without evidence of dopaminergic deficit [SWEDD]). CONCLUSION A smaller proportion of SPARK participants were excluded owing to SWEDD status upon DaT-SPECT screening than has been reported in prior studies. Further research is needed to understand the reasons for the low SWEDD rate in this study and whether these results are generalisable to future studies. If supported, the radiation risks, imaging costs, and operational burden of DaT-SPECT for enrichment may be mitigated by clinical assessment and other study design aspects. TRIAL REGISTRATION ClinicalTrials.gov identifier: NCT03318523 . Date submitted: October 19, 2017. First Posted: October 24, 2017.
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Affiliation(s)
| | | | | | - Minhua Yang
- Biogen, 300 Binney Street, Cambridge, MA, 02142, USA
| | | | | | | | | | | | - Anthony E Lang
- Morton and Gloria Shulman Movement Disorders Clinic, Toronto, ON, Canada.,Edmond J. Safra Program in Parkinson's Disease, Toronto, ON, Canada
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21
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Bartl M, Dakna M, Galasko D, Hutten SJ, Foroud T, Quan M, Marek K, Siderowf A, Franz J, Trenkwalder C, Mollenhauer B. Biomarkers of neurodegeneration and glial activation validated in Alzheimer's disease assessed in longitudinal cerebrospinal fluid samples of Parkinson's disease. PLoS One 2021; 16:e0257372. [PMID: 34618817 PMCID: PMC8496858 DOI: 10.1371/journal.pone.0257372] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2021] [Accepted: 08/29/2021] [Indexed: 12/25/2022] Open
Abstract
Aim Several pathophysiological processes are involved in Parkinson’s disease (PD) and could inform in vivo biomarkers. We assessed an established biomarker panel, validated in Alzheimer’s Disease, in a PD cohort. Methods Longitudinal cerebrospinal fluid (CSF) samples from PPMI (252 PD, 115 healthy controls, HC) were analyzed at six timepoints (baseline, 6, 12, 24, 36, and 48 months follow-up) using Elecsys® electrochemiluminescence immunoassays to quantify neurofilament light chain (NfL), soluble TREM2 receptor (sTREM2), chitinase-3-like protein 1 (YKL40), glial fibrillary acidic protein (GFAP), interleukin-6 (IL-6), S100, and total α-synuclein (αSyn). Results αSyn was significantly lower in PD (mean 103 pg/ml vs. HC: 127 pg/ml, p<0.01; area under the curve [AUC]: 0.64), while all other biomarkers were not significantly different (AUC NfL: 0.49, sTREM2: 0.54, YKL40: 0.57, GFAP: 0.55, IL-6: 0.53, S100: 0.54, p>0.05) and none showed a significant difference longitudinally. We found significantly higher levels of all these markers between PD patients who developed cognitive decline during follow-up, except for αSyn and IL-6. Conclusion Except for αSyn, the additional biomarkers did not differentiate PD and HC, and none showed longitudinal differences, but most markers predict cognitive decline in PD during follow-up.
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Affiliation(s)
- Michael Bartl
- Department of Neurology, University Medical Center Goettingen, Goettingen, Germany
| | - Mohammed Dakna
- Department of Neurology, University Medical Center Goettingen, Goettingen, Germany
| | - Douglas Galasko
- Department of Neurosciences, University of California, San Diego, San Diego, CA, United States of America
| | - Samantha J. Hutten
- The Michael J. Fox Foundation for Parkinson’s Research, New York, NY, United States of America
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, United States of America
| | - Marian Quan
- Roche Diagnostics, Indianapolis, IN, United States of America
| | - Kenneth Marek
- Institute for Neurodegenerative Disorders, New Haven, CT, United States of America
| | - Andrew Siderowf
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America
| | - Jonas Franz
- Institute of Neuropathology, University Medical Center Göttingen, Göttingen, Germany
- Campus Institute for Dynamics of Biological Networks, University of Göttingen, Göttingen, Germany
- Max Planck Institute for Experimental Medicine, Göttingen, Germany
| | - Claudia Trenkwalder
- Paracelsus-Elena-Klinik, Kassel, Germany
- Department of Neurosurgery, University Medical Center Goettingen, Goettingen, Germany
| | - Brit Mollenhauer
- Department of Neurology, University Medical Center Goettingen, Goettingen, Germany
- Paracelsus-Elena-Klinik, Kassel, Germany
- * E-mail:
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22
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Aamodt WW, Waligorska T, Shen J, Tropea TF, Siderowf A, Weintraub D, Grossman M, Irwin D, Wolk DA, Xie SX, Trojanowski JQ, Shaw LM, Chen-Plotkin AS. Neurofilament Light Chain as a Biomarker for Cognitive Decline in Parkinson Disease. Mov Disord 2021; 36:2945-2950. [PMID: 34480363 DOI: 10.1002/mds.28779] [Citation(s) in RCA: 54] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 07/22/2021] [Accepted: 07/30/2021] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Neurofilament light chain protein (NfL) is a promising biomarker of neurodegeneration. OBJECTIVES To determine whether plasma and CSF NfL (1) associate with motor or cognitive status in Parkinson's disease (PD) and (2) predict future motor or cognitive decline in PD. METHODS Six hundred and fifteen participants with neurodegenerative diseases, including 152 PD and 200 healthy control participants, provided a plasma and/or cerebrospinal fluid (CSF) NfL sample. Diagnostic groups were compared using the Kruskal-Wallis rank test. Within PD, cross-sectional associations between NfL and Unified Parkinson's Disease Rating Scale Part III (UPDRS-III) and Mattis Dementia Rating Scale (DRS-2) scores were assessed by linear regression; longitudinal analyses were performed using linear mixed-effects models and Cox regression. RESULTS Plasma and CSF NfL levels correlated substantially (Spearman r = 0.64, P < 0.001); NfL was highest in neurocognitive disorders. PD participants with high plasma NfL were more likely to develop incident cognitive impairment (HR 5.34, P = 0.005). CONCLUSIONS Plasma NfL is a useful prognostic biomarker for PD, predicting clinical conversion to mild cognitive impairment or dementia. © 2021 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Whitley W Aamodt
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Teresa Waligorska
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Junchao Shen
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Thomas F Tropea
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Andrew Siderowf
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Daniel Weintraub
- Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Parkinson's Disease and Mental Illness Research, Education, and Clinical Centers, Philadelphia Veterans Affairs Medical Center, Philadelphia, Pennsylvania, USA
| | - Murray Grossman
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - David Irwin
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - David A Wolk
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Sharon X Xie
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - John Q Trojanowski
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Leslie M Shaw
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Alice S Chen-Plotkin
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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23
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Gupta HV, Beach TG, Mehta SH, Shill HA, Driver-Dunckley E, Sabbagh MN, Belden CM, Liebsack C, Dugger BN, Serrano GE, Sue LI, Siderowf A, Pontecorvo MJ, Mintun MA, Joshi AD, Adler CH. Clinicopathological Correlation: Dopamine and Amyloid PET Imaging with Neuropathology in Three Subjects Clinically Diagnosed with Alzheimer's Disease or Dementia with Lewy Bodies. J Alzheimers Dis 2021; 80:1603-1612. [PMID: 33720879 PMCID: PMC10109539 DOI: 10.3233/jad-200323] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
BACKGROUND Imaging biomarkers have the potential to distinguish between different brain pathologies based on the type of ligand used with PET. AV-45 PET (florbetapir, Amyvid™) is selective for the neuritic plaque amyloid of Alzheimer's disease (AD), while AV-133 PET (florbenazine) is selective for VMAT2, which is a dopaminergic marker. OBJECTIVE To report the clinical, AV-133 PET, AV-45 PET, and neuropathological findings of three clinically diagnosed dementia patients who were part of the Avid Radiopharmaceuticals AV133-B03 study as well as the Arizona Study of Aging and Neurodegenerative Disorders (AZSAND). METHODS Three subjects who had PET imaging with both AV-133 and AV-45 as well as a standardized neuropathological assessment were included. The final clinical, PET scan, and neuropathological diagnoses were compared. RESULTS The clinical and neuropathological diagnoses were made blinded to PET scan results. The first subject had a clinical diagnosis of dementia with Lewy bodies (DLB); AV-133 PET showed bilateral striatal dopaminergic degeneration, and AV-45 PET was positive for amyloid. The final clinicopathological diagnosis was DLB and AD. The second subject was diagnosed clinically with probable AD; AV-45 PET was positive for amyloid, while striatal AV-133 PET was normal. The final clinicopathological diagnosis was DLB and AD. The third subject had a clinical diagnosis of DLB. Her AV-45 PET was positive for amyloid and striatal AV-133 showed dopaminergic degeneration. The final clinicopathological diagnosis was multiple system atrophy and AD. CONCLUSION PET imaging using AV-133 for the assessment of striatal VMAT2 density may help distinguish between AD and DLB. However, some cases of DLB with less-pronounced nigrostriatal dopaminergic neuronal loss may be missed.
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Affiliation(s)
- Harsh V Gupta
- Department of Neurology, The University of Kansas Health System, Kansas City, KS, USA
| | | | - Shyamal H Mehta
- Department of Neurology, Mayo Clinic College of Medicine, Scottsdale, AZ, USA
| | | | | | | | | | | | - Brittany N Dugger
- Department of Pathology and Laboratory Medicine, University of California-Davis School of Medicine, Sacramento, CA, USA
| | | | - Lucia I Sue
- Banner Sun Health Research Institute, Sun City, AZ, USA
| | - Andrew Siderowf
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | | | | | | | - Charles H Adler
- Department of Neurology, Mayo Clinic College of Medicine, Scottsdale, AZ, USA
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24
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Gallagher J, Rick J, Xie SX, Martinez-Martin P, Mamikonyan E, Chen-Plotkin A, Dahodwala N, Morley J, Duda JE, Trojanowski JQ, Siderowf A, Weintraub D. Psychometric Properties of the Clinical Dementia Rating Scale Sum of Boxes in Parkinson's Disease. J Parkinsons Dis 2021; 11:737-745. [PMID: 33386814 PMCID: PMC8058172 DOI: 10.3233/jpd-202390] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND A composite measure that assesses both cognitive and functional abilities in Parkinson's disease (PD) would be useful for diagnosing mild cognitive impairment (MCI) and PD dementia (PDD) and as an outcome measure in randomized controlled trials. The Clinical Dementia Rating Scale Sum of Boxes (CDR-SOB) was designed to assess both cognition and basic-instrumental activities of daily living in Alzheimer's disease but has not yet been validated in PD. OBJECTIVE To validate the CDR-SOB as a composite cognitive-functional measure for PD patients, as well as to assess its sensitivity to change. METHODS The CDR-SOB and a comprehensive cognitive and functional battery was administered to 101 PD patients at baseline (39 normal cognition [NC], 41 MCI and 21 PDD by expert consensus panel), and re-administered to 64 patients after 1-2 years follow-up (32 NC and 32 cognitive impairment [CI] at baseline). RESULTS Cross-sectionally, CDR-SOB and domain scores were correlated with corresponding neuropsychological or functional measures and were significantly different between cognitive subgroups both at baseline and at follow-up. In addition, CDR-SOB ROC curves distinguished between normal cognition and dementia with high sensitivity, but did not distinguish well between NC and MCI. Longitudinal changes in the CDR-SOB and domain scores were not significant and were inconsistent in predicting change in commonly-used cognitive and functional tests. CONCLUSION The CDR-SOB detects dementia-level cognitive impairment in PD but may not be appropriate for predicting longitudinal combined cognitive-functional changes in patients without significant cognitive impairment at baseline.
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Affiliation(s)
- Julia Gallagher
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Jacqueline Rick
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Sharon X Xie
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Pablo Martinez-Martin
- Center for Networked Biomedical Research in Neurodegenerative Diseases (CIBERNED), Carlos III Institute of Health, Madrid, Spain
| | - Eugenia Mamikonyan
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Alice Chen-Plotkin
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Nabila Dahodwala
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - James Morley
- Parkinson's Disease Research, Education and Clinical Center (PADRECC), Philadelphia Veteran's Affairs Medical Center, Philadelphia, PA, USA
| | - John E Duda
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.,Parkinson's Disease Research, Education and Clinical Center (PADRECC), Philadelphia Veteran's Affairs Medical Center, Philadelphia, PA, USA
| | - John Q Trojanowski
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Andrew Siderowf
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Daniel Weintraub
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.,Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Parkinson's Disease Research, Education and Clinical Center (PADRECC), Philadelphia Veteran's Affairs Medical Center, Philadelphia, PA, USA
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25
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Howard E, Irwin DJ, Rascovsky K, Nevler N, Shellikeri S, Tropea TF, Spindler M, Deik A, Chen-Plotkin A, Siderowf A, Dahodwala N, Weintraub D, Shaw LM, Trojanowski JQ, Vaishnavi SN, Wolk DA, Mechanic-Hamilton D, Morley JF, Duda JE, Grossman M, Cousins KAQ. Cognitive Profile and Markers of Alzheimer Disease-Type Pathology in Patients With Lewy Body Dementias. Neurology 2021; 96:e1855-e1864. [PMID: 33593865 PMCID: PMC8105963 DOI: 10.1212/wnl.0000000000011699] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Accepted: 01/06/2021] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVE To determine whether patients with Lewy body dementia (LBD) with likely Alzheimer disease (AD)-type copathology are more impaired on confrontation naming than those without likely AD-type copathology. METHODS We selected 57 patients with LBD (dementia with Lewy bodies [DLB], n = 38; Parkinson disease dementia [PDD], n = 19) with available AD CSF biomarkers and neuropsychological data. CSF β-amyloid1-42 (Aβ42), phosphorylated-tau (p-tau), and total-tau (t-tau) concentrations were measured. We used an autopsy-validated CSF cut point (t-tau:Aβ42 ratio > 0.3, n = 43), or autopsy data when available (n = 14), to categorize patients as having LBD with (LBD + AD, n = 26) and without (LBD - AD, n = 31) likely AD-type copathology. Analysis of covariance tested between-group comparisons across biologically defined groups (LBD + AD, LBD - AD) and clinical phenotypes (DLB, PDD) on confrontation naming (30-item Boston Naming Test [BNT]), executive abilities (letter fluency [LF], reverse digit span [RDS]), and global cognition (Mini-Mental State Examination [MMSE]), with adjustment for age at dementia onset, time from dementia onset to test date, and time from CSF to test date. Spearman correlation related cognitive performance to CSF analytes. RESULTS Patients with LBD + AD performed worse on BNT than patients with LBD - AD (F = 4.80, p = 0.03); both groups performed similarly on LF, RDS, and MMSE (all p > 0.1). Clinically defined PDD and DLB groups did not differ in performance on any of these measures (all p > 0.05). A correlation across all patients showed that BNT score was negatively associated with CSF t-tau (ρ = -0.28, p < 0.05) and p-tau (ρ = -0.26, p = 0.05) but not Aβ42 (p > 0.1). CONCLUSION Markers of AD-type copathology are implicated in impaired language performance in LBD. Biologically based classification of LBD may be advantageous over clinically defined syndromes to elucidate clinical heterogeneity.
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Affiliation(s)
- Erica Howard
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - David J Irwin
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - Katya Rascovsky
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - Naomi Nevler
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - Sanjana Shellikeri
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - Thomas F Tropea
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - Meredith Spindler
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - Andres Deik
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - Alice Chen-Plotkin
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - Andrew Siderowf
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - Nabila Dahodwala
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - Daniel Weintraub
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - Leslie M Shaw
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - John Q Trojanowski
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - Sanjeev N Vaishnavi
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - David A Wolk
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - Dawn Mechanic-Hamilton
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - James F Morley
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - John E Duda
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - Murray Grossman
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA
| | - Katheryn A Q Cousins
- From the Department of Neurology (E.H., D.J.I., K.R., N.N., S.S., T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W., S.N.V., D.A.W., D.M.-H., J.F.M., J.E.D., M.G., K.A.Q.C.), Frontotemporal Degeneration Center (E.H., D.J.I., K.R., N.N., S.S., M.G., K.A.Q.C.), Parkinson's Disease and Movement Disorders Center (T.F.T., M.S., A.D., A.C.-P., A.S., N.D., D.W.), Digital Neuropathology Laboratory (D.J.I.), Alzheimer's Disease Center (J.Q.T., S.N.V., D.A.W., D.M.-H.), Center for Neurodegenerative Disease Research (L.M.S., J.Q.T.), and Department of Pathology and Laboratory Medicine (L.M.S., J.Q.T., D.A.W.), Perelman School of Medicine at the University of Pennsylvania; and Michael J. Crescenz VA Medical Center (D.W., J.F.M., J.E.D.), Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA.
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26
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Devous MD, Fleisher AS, Pontecorvo MJ, Lu M, Siderowf A, Navitsky M, Kennedy I, Southekal S, Harris TS, Mintun MA. Relationships Between Cognition and Neuropathological Tau in Alzheimer's Disease Assessed by 18F Flortaucipir PET. J Alzheimers Dis 2021; 80:1091-1104. [PMID: 33682705 DOI: 10.3233/jad-200808] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Tau neurofibrillary tangle burden increases with Alzheimer's disease (AD) stage and correlates with degree of cognitive impairment. Tau PET imaging could facilitate understanding the relationship between tau pathology and cognitive impairment. OBJECTIVE Evaluate the relationship between 18F flortaucipir uptake patterns and cognition across multiple cognitive domains. METHODS We acquired flortaucipir PET scans in 84 amyloid-positive control, mild cognitive impairment (MCI), and AD subjects. Flortaucipir standardized uptake value ratio (SUVr) values were obtained from a neocortical volume of interest (VOI), a precuneus VOI, and VOIs defined by the correlation between flortaucipir SUVr images and domain-specific cognitive tests. Cognitive assessments included Mini-Mental State Exam (MMSE), Alzheimer's Disease Assessment Scale-Cognitive Subscale (ADAS-cog), and a neuropsychological test battery (i.e., Wechsler Memory Scale-Revised Logical Memory (WMS-R), Trail Making Test, Boston Naming Test, Digit Symbol Substitution Test, Animal List Generation, WMS-R Digit Span, American National Adult Reading Test, Clock Drawing Test, Judgment of Line Orientation, and WMS-R Logical Memory II (Delayed Recall)) and the Functional Activities Questionnaire (FAQ). Correlation analyses compared regional and voxel-wise VOIs to cognitive scores. RESULTS Subjects included 5 controls, 47 MCI, and 32 AD subjects. Significant correlations were seen between both flortaucipir and florbetapir SUVrs and MMSE, ADAS-Cog, and FAQ. Cognitive impairment was associated with increased flortaucipir uptake in regionally specific patterns consistent with the neuroanatomy underlying specific cognitive tests. CONCLUSION Flortaucipir SUVr values demonstrated significant inverse correlations with cognitive scores in domain-specific patterns. Findings support the hypothesis that PET imaging of neuropathologic tau deposits may reflect underlying neurodegeneration in AD.
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Affiliation(s)
| | | | | | - Ming Lu
- Avid Radiopharmaceuticals, Inc., Philadelphia, PA, USA
| | - Andrew Siderowf
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Ian Kennedy
- Avid Radiopharmaceuticals, Inc., Philadelphia, PA, USA
| | | | | | - Mark A Mintun
- Avid Radiopharmaceuticals, Inc., Philadelphia, PA, USA
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Tropea TF, Amari N, Han N, Rick J, Suh E, Akhtar RS, Dahodwala N, Deik A, Gonzalez-Alegre P, Hurtig H, Siderowf A, Spindler M, Stern M, Thenganatt MA, Weintraub D, Willis AW, Van Deerlin V, Chen-Plotkin A. Whole Clinic Research Enrollment in Parkinson's Disease: The Molecular Integration in Neurological Diagnosis (MIND) Study. J Parkinsons Dis 2021; 11:757-765. [PMID: 33492247 PMCID: PMC8058284 DOI: 10.3233/jpd-202406] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
BACKGROUND Observational studies in Parkinson's disease (PD) have focused on relatively small numbers of research participants who are studied extensively. The Molecular Integration in Neurological Diagnosis Initiative at the University of Pennsylvania aims to characterize molecular and clinical features of PD in every patient in a large academic center. OBJECTIVE To determine the feasibility and interest in a global-capture biomarker research protocol. Additionally, to describe the clinical characteristics and GBA and LRRK2 variant carrier status among participants. METHODS All patients at UPenn with a clinical diagnosis of PD were eligible. Informed consent included options for access to the medical record, future recontact, and use of biosamples for additional studies. A blood sample and a completed questionnaire were obtained from participants. Targeted genotyping for four GBA and eight LRRK2 variants was performed, with plasma and DNA banked for future research. RESULTS Between September 2018 and December 2019, 704 PD patients were approached for enrollment; 652 (92.6%) enrolled, 28 (3.97%) declined, and 24 (3.41%) did not meet eligibility criteria. Median age was 69 (IQR 63_75) years, disease duration was 5.41 (IQR 2.49_9.95) years, and 11.10%of the cohort was non-white. Disease risk-associated variants in GBA were identified in 39 participants (5.98%) and in LRRK2 in 16 participants (2.45%). CONCLUSIONS We report the clinical and genetic characteristics of PD patients in an all-comers, global capture protocol from an academic center. Patient interest in participation and yield for identification of GBA and LRRK2 mutation carriers is high, demonstrating feasibility of PD clinic-wide molecular characterization.
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Affiliation(s)
- Thomas F. Tropea
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Noor Amari
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Noah Han
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jacqueline Rick
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - EunRan Suh
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Rizwan S. Akhtar
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Nabila Dahodwala
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Andres Deik
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Pedro Gonzalez-Alegre
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Howard Hurtig
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Andrew Siderowf
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Meredith Spindler
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Matthew Stern
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Mary Ann Thenganatt
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Daniel Weintraub
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
- Parkinson’s Disease Research, Education and Clinical Centers (PADRECC), Philadelphia Veterans Affairs Medical Center, Philadelphia, PA, USA
| | - Allison W. Willis
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Vivianna Van Deerlin
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Alice Chen-Plotkin
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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Chahine LM, Brumm MC, Caspell-Garcia C, Oertel W, Mollenhauer B, Amara A, Fernandez-Arcos A, Tolosa E, Simonet C, Hogl B, Videnovic A, Hutten SJ, Tanner C, Weintraub D, Burghardt E, Coffey C, Cho HR, Kieburtz K, Poston KL, Merchant K, Galasko D, Foroud T, Siderowf A, Marek K, Simuni T, Iranzo A. Dopamine transporter imaging predicts clinically-defined α-synucleinopathy in REM sleep behavior disorder. Ann Clin Transl Neurol 2020; 8:201-212. [PMID: 33321002 PMCID: PMC7818144 DOI: 10.1002/acn3.51269] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 11/18/2020] [Accepted: 11/19/2020] [Indexed: 01/03/2023] Open
Abstract
INTRODUCTION Individuals with idiopathic rapid eye movement sleep behavior disorder (iRBD) are at high risk for a clinical diagnosis of an α-synucleinopathy (aSN). They could serve as a key population for disease-modifying trials. Abnormal dopamine transporter (DAT) imaging is a strong candidate biomarker for risk of aSN diagnosis in iRBD. Our primary objective was to identify a quantitative measure of DAT imaging that predicts diagnosis of clinically-defined aSN in iRBD. METHODS The sample included individuals with iRBD, early Parkinson's Disease (PD), and healthy controls (HC) enrolled in the Parkinson Progression Marker Initiative, a longitudinal, observational, international, multicenter study. The iRBD cohort was enriched with individuals with abnormal DAT binding at baseline. Motor and nonmotor measures were compared across groups. DAT specific binding ratios (SBR) were used to calculate the percent of expected DAT binding for age and sex using normative data from HCs. Receiver operative characteristic analyses identified a baseline DAT binding cutoff that distinguishes iRBD participants diagnosed with an aSN in follow-up versus those not diagnosed. RESULTS The sample included 38 with iRBD, 205 with PD, and 92 HC who underwent DAT-SPECT at baseline. Over 4.7 years of mean follow-up, 14 (36.84%) with iRBD were clinically diagnosed with aSN. Risk of aSN diagnosis was significantly elevated among those with baseline putamen SBR ≤ 48% of that expected for age and sex, relative to those above this cutoff (hazard ratio = 17.8 [95%CI: 3.79-83.3], P = 0.0003). CONCLUSION We demonstrate the utility of DAT SBR to identify individuals with iRBD with increased short-term risk of an aSN diagnosis.
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Affiliation(s)
- Lana M Chahine
- Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Michael C Brumm
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, Iowa, USA
| | - Chelsea Caspell-Garcia
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, Iowa, USA
| | - Wolfgang Oertel
- Department of Neurology, Philipps University, Marburg, Germany
| | - Brit Mollenhauer
- Department of Neurology, University Medical Center Goettingen, Goettingen, Germany.,Paracelsus-Elena-Klinik, Kassel, Germany
| | - Amy Amara
- Department of Neurology, The University of Alabama at Birmingham, Birmingham, Alabama, USA
| | | | - Eduardo Tolosa
- Neurology Service, Hospital Clinic de Barcelona, Barcelona, Spain
| | - Cristina Simonet
- Neurology Service, Hospital Clinic de Barcelona, Barcelona, Spain
| | - Birgit Hogl
- Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
| | - Aleksandar Videnovic
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Samantha J Hutten
- The Michael J. Fox Foundation for Parkinson's Research, New York, New York, USA
| | - Caroline Tanner
- Department of Neurology, University of California San Francisco, San Francisco, California, USA
| | - Daniel Weintraub
- Departments of Neurology Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Elliot Burghardt
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, Iowa, USA
| | - Christopher Coffey
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, Iowa, USA
| | - Hyunkeun R Cho
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, Iowa, USA
| | - Karl Kieburtz
- University of Rochester Medical Center, University of Rochester, Rochester, NY, USA
| | - Kathleen L Poston
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, California, USA
| | - Kalpana Merchant
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Douglas Galasko
- Department of Neurology, University of California, San Diego, California, USA
| | - Tatiana Foroud
- Department of Medical & Molecular Genetics, Indiana University, Indianapolis, Indiana, USA
| | - Andrew Siderowf
- Departments of Neurology Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Kenneth Marek
- Institute for Neurodegenerative Disorders, New Haven, Connecticut, USA
| | - Tanya Simuni
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Alex Iranzo
- Neurology Service, Hospital Clinic de Barcelona, Barcelona, Spain
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Ohm DT, Peterson C, Lobrovich R, Cousins KAQ, Gibbons GS, McMillan CT, Wolk DA, Van Deerlin V, Elman L, Spindler M, Deik A, Siderowf A, Trojanowski JQ, Lee EB, Grossman M, Irwin DJ. Degeneration of the locus coeruleus is a common feature of tauopathies and distinct from TDP-43 proteinopathies in the frontotemporal lobar degeneration spectrum. Acta Neuropathol 2020; 140:675-693. [PMID: 32804255 DOI: 10.1007/s00401-020-02210-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 08/04/2020] [Accepted: 08/05/2020] [Indexed: 12/12/2022]
Abstract
Neurodegeneration of the locus coeruleus (LC) in age-related neurodegenerative diseases such as Alzheimer's disease (AD) is well documented. However, detailed studies of LC neurodegeneration in the full spectrum of frontotemporal lobar degeneration (FTLD) proteinopathies comparing tauopathies (FTLD-tau) to TDP-43 proteinopathies (FTLD-TDP) are lacking. Here, we tested the hypothesis that there is greater LC neuropathology and neurodegeneration in FTLD-tau compared to FTLD-TDP. We examined 280 patients including FTLD-tau (n = 94), FTLD-TDP (n = 135), and two reference groups: clinical/pathological AD (n = 32) and healthy controls (HC, n = 19). Adjacent sections of pons tissue containing the LC were immunostained for phosphorylated TDP-43 (1D3-p409/410), hyperphosphorylated tau (PHF-1), and tyrosine hydroxylase (TH) to examine neuromelanin-containing noradrenergic neurons. Blinded to clinical and pathologic diagnoses, we semi-quantitatively scored inclusions of tau and TDP-43 both inside LC neuronal somas and in surrounding neuropil. We also digitally measured the percent area occupied of neuromelanin inside of TH-positive LC neurons and in surrounding neuropil to calculate a ratio of extracellular-to-intracellular neuromelanin as an objective composite measure of neurodegeneration. We found that LC tau burden in FTLD-tau was greater than LC TDP-43 burden in FTLD-TDP (z = - 11.38, p < 0.0001). Digital measures of LC neurodegeneration in FTLD-tau were comparable to AD (z = - 1.84, p > 0.05) but greater than FTLD-TDP (z = - 3.85, p < 0.0001) and HC (z = - 4.12, p < 0.0001). Both tau burden and neurodegeneration were consistently elevated in the LC across pathologic and clinical subgroups of FTLD-tau compared to FTLD-TDP subgroups. Moreover, LC tau burden positively correlated with neurodegeneration in the total FTLD group (rho = 0.24, p = 0.001), while TDP-43 burden did not correlate with LC neurodegeneration in FTLD-TDP (rho = - 0.01, p = 0.90). These findings suggest that patterns of disease propagation across all tauopathies include prominent LC tau and neurodegeneration that are relatively distinct from the minimal degenerative changes to the LC in FTLD-TDP and HC. Antemortem detection of LC neurodegeneration and/or function could potentially improve antemortem differentiation of underlying FTLD tauopathies from clinically similar FTLD-TDP proteinopathies.
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Affiliation(s)
- Daniel T Ohm
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Claire Peterson
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Rebecca Lobrovich
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Katheryn A Q Cousins
- Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Garrett S Gibbons
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Corey T McMillan
- Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - David A Wolk
- Alzheimer's Disease Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Penn Memory Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Vivianna Van Deerlin
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Alzheimer's Disease Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Lauren Elman
- Comprehensive Amyotrophic Lateral Sclerosis Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Meredith Spindler
- Parkinson's Disease and Movement Disorders Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Andres Deik
- Parkinson's Disease and Movement Disorders Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Andrew Siderowf
- Parkinson's Disease and Movement Disorders Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - John Q Trojanowski
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Alzheimer's Disease Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Edward B Lee
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Alzheimer's Disease Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Translational Neuropathology Research Laboratory, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Murray Grossman
- Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - David J Irwin
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
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Coughlin DG, Phillips JS, Roll E, Peterson C, Lobrovich R, Rascovsky K, Ungrady M, Wolk DA, Das S, Weintraub D, Lee EB, Trojanowski JQ, Shaw LM, Vaishnavi S, Siderowf A, Nasrallah IM, Irwin DJ, McMillan CT. Multimodal in vivo and postmortem assessments of tau in Lewy body disorders. Neurobiol Aging 2020; 96:137-147. [PMID: 33002767 DOI: 10.1016/j.neurobiolaging.2020.08.003] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Revised: 07/30/2020] [Accepted: 08/03/2020] [Indexed: 12/12/2022]
Abstract
We compared regional retention of 18F-flortaucipir between 20 patients with Lewy body disorders (LBD), 12 Alzheimer's disease patients with positive amyloid positron emission tomography (PET) scans (AD+Aβ) and 15 healthy controls with negative amyloid PET scans (HC-Aβ). In LBD subjects, we compared the relationship between 18F-flortaucipir retention and cerebrospinal fluid (CSF) tau, cognitive performance, and neuropathological tau at autopsy. The LBD cohort was stratified using an Aβ42 cut-off of 192 pg/mL to enrich for groups likely harboring tau pathology (LBD+Aβ = 11, LBD-Aβ = 9). 18F-flortaucipir retention was higher in LBD+AB than HC-Aβ in five, largely temporal-parietal regions with sparing of medial temporal regions. Higher retention was associated with higher CSF total-tau levels (p = 0.04), poorer domain-specific cognitive performance (p = 0.02-0.04), and greater severity of neuropathological tau in corresponding regions. While 18F-flortaucipir retention in LBD is intermediate between healthy controls and AD, retention relates to cognitive impairment, CSF total-tau, and neuropathological tau. Future work in larger autopsy-validated cohorts is needed to define LBD-specific tau biomarker profiles.
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Affiliation(s)
- David G Coughlin
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA; Digital Neuropathology Laboratory, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Lewy Body Disease Center of Excellence, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Jeffrey S Phillips
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA; Frontotemporal Degeneration Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Emily Roll
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA; Frontotemporal Degeneration Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Claire Peterson
- Digital Neuropathology Laboratory, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Rebecca Lobrovich
- Digital Neuropathology Laboratory, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Katya Rascovsky
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA; Frontotemporal Degeneration Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Molly Ungrady
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA; Frontotemporal Degeneration Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - David A Wolk
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA; Alzheimer's Disease Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Sandhitsu Das
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA; Alzheimer's Disease Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Daniel Weintraub
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA; Michael J. Crescenz VA Medical Center, Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA, USA
| | - Edward B Lee
- Alzheimer's Disease Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Department of Pathology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - John Q Trojanowski
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA; Alzheimer's Disease Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Department of Pathology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA; Center for Neurodegenerative Disease Research, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Leslie M Shaw
- Department of Pathology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Sanjeev Vaishnavi
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA; Lewy Body Disease Center of Excellence, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Andrew Siderowf
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA; Lewy Body Disease Center of Excellence, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Ilya M Nasrallah
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - David J Irwin
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA; Digital Neuropathology Laboratory, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Lewy Body Disease Center of Excellence, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Frontotemporal Degeneration Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Corey T McMillan
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA; Frontotemporal Degeneration Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
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Mollenhauer B, Dakna M, Kruse N, Galasko D, Foroud T, Zetterberg H, Schade S, Gera RG, Wang W, Gao F, Frasier M, Chahine LM, Coffey CS, Singleton AB, Simuni T, Weintraub D, Seibyl J, Toga AW, Tanner CM, Kieburtz K, Marek K, Siderowf A, Cedarbaum JM, Hutten SJ, Trenkwalder C, Graham D. Validation of Serum Neurofilament Light Chain as a Biomarker of Parkinson's Disease Progression. Mov Disord 2020; 35:1999-2008. [PMID: 32798333 PMCID: PMC8017468 DOI: 10.1002/mds.28206] [Citation(s) in RCA: 87] [Impact Index Per Article: 21.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Revised: 05/20/2020] [Accepted: 06/19/2020] [Indexed: 01/15/2023] Open
Abstract
Background: The objective of this study was to assess neurofilament light chain as a Parkinson’s disease biomarker. Methods: We quantified neurofilament light chain in 2 independent cohorts: (1) longitudinal cerebrospinal fluid samples from the longitudinal de novo Parkinson’s disease cohort and (2) a large longitudinal cohort with serum samples from Parkinson’s disease, other cognate/neurodegenerative disorders, healthy controls, prodromal conditions, and mutation carriers. Results: In the Parkinson’s Progression Marker Initiative cohort, mean baseline serum neurofilament light chain was higher in Parkinson’s disease patients (13 ± 7.2 pg/mL) than in controls (12 ± 6.7 pg/mL), P = 0.0336. Serum neurofilament light chain increased longitudinally in Parkinson’s disease patients versus controls (P < 0.01). Motor scores were positively associated with neurofilament light chain, whereas some cognitive scores showed a negative association. Conclusions: Neurofilament light chain in serum samples is increased in Parkinson’s disease patients versus healthy controls, increases over time and with age, and correlates with clinical measures of Parkinson’s disease severity. Although the specificity of neurofilament light chain for Parkinson’s disease is low, it is the first blood-based biomarker candidate that could support disease stratification of Parkinson’s disease versus other cognate/neurodegenerative disorders, track clinical progression, and possibly assess responsiveness to neuroprotective treatments. However, use of neurofilament light chain as a biomarker of response to neuroprotective interventions remains to be assessed.
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Affiliation(s)
- Brit Mollenhauer
- Department of Neurology, University Medical Center Goettingen, Goettingen, Germany.,Paracelsus-Elena Klinik, Kassel, Germany
| | - Mohammed Dakna
- Department of Neurology, University Medical Center Goettingen, Goettingen, Germany
| | - Niels Kruse
- Department of Neuropathology, University Medical Center Goettingen, Goettingen, Germany
| | - Douglas Galasko
- Department of Neurosciences, University of California, San Diego, San Diego, California, USA
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden.,Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, London, United Kingdom.,UK Dementia Research Institute at UCL, London, United Kingdom
| | - Sebastian Schade
- Department of Neurology, University Medical Center Goettingen, Goettingen, Germany
| | - Roland G Gera
- Department of Medical Statistics, University Medical Center Goettingen, Goettingen, Germany
| | - Wenting Wang
- Biostatistics, Biogen, Cambridge, Massachusetts, USA
| | - Feng Gao
- Biostatistics, Biogen, Cambridge, Massachusetts, USA
| | - Mark Frasier
- The Michael J. Fox Foundation for Parkinson's Research, New York, New York, USA
| | - Lana M Chahine
- Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Christopher S Coffey
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, Iowa, USA
| | - Andrew B Singleton
- Molecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
| | - Tanya Simuni
- Parkinson's Disease and Movement Disorders Center, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Daniel Weintraub
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - John Seibyl
- Institute for Neurodegenerative Disorders, New Haven, Connecticut, USA
| | - Arthur W Toga
- Laboratory of Neuro Imaging, University of Southern California, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of University of Southern California, Los Angeles, California, USA
| | - Caroline M Tanner
- Department of Neurology, University of California San Francisco, San Francisco, California, USA, and Parkinson's Disease Research Education and Clinical Center, San Francisco Veterans Affairs Health Care System, San Francisco, California, USA
| | - Karl Kieburtz
- Clinical Trials Coordination Center, University of Rochester Medical Center, Rochester, New York, USA
| | - Kenneth Marek
- The Michael J. Fox Foundation for Parkinson's Research, New York, New York, USA.,Institute for Neurodegenerative Disorders, New Haven, Connecticut, USA
| | - Andrew Siderowf
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | | | - Samantha J Hutten
- The Michael J. Fox Foundation for Parkinson's Research, New York, New York, USA
| | | | - Danielle Graham
- Discovery and Early Development Biomarkers, Biogen, Cambridge, Massachusetts, USA
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Chahine LM, Siderowf A, Barnes J, Seedorff N, Caspell-Garcia C, Simuni T, Coffey CS, Galasko D, Mollenhauer B, Arnedo V, Daegele N, Frasier M, Tanner C, Kieburtz K, Marek K. Predicting Progression in Parkinson's Disease Using Baseline and 1-Year Change Measures. J Parkinsons Dis 2020; 9:665-679. [PMID: 31450510 PMCID: PMC6839498 DOI: 10.3233/jpd-181518] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Improved prediction of Parkinson's disease (PD) progression is needed to support clinical decision-making and to accelerate research trials. OBJECTIVES To examine whether baseline measures and their 1-year change predict longer-term progression in early PD. METHODS Parkinson's Progression Markers Initiative study data were used. Participants had disease duration ≤2 years, abnormal dopamine transporter (DAT) imaging, and were untreated with PD medications. Baseline and 1-year change in clinical, cerebrospinal fluid (CSF), and imaging measures were evaluated as candidate predictors of longer-term (up to 5 years) change in Movement Disorders Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) score and DAT specific binding ratios (SBR) using linear mixed-effects models. RESULTS Among 413 PD participants, median follow-up was 5 years. Change in MDS-UPDRS from year-2 to last follow-up was associated with disease duration (β= 0.351; 95% CI = 0.146, 0.555), male gender (β= 3.090; 95% CI = 0.310, 5.869), and baseline (β= -0.199; 95% CI = -0.315, -0.082) and 1-year change (β= 0.540; 95% CI = 0.423, 0.658) in MDS-UPDRS; predictors in the model accounted for 17.6% of the variance in outcome. Predictors of percent change in mean SBR from year-2 to last follow-up included baseline rapid eye movement sleep behavior disorder score (β= -0.6229; 95% CI = -1.2910, 0.0452), baseline (β= 7.232; 95% CI = 2.268, 12.195) and 1-year change (β= 45.918; 95% CI = 35.994,55.843) in mean striatum SBR, and 1-year change in autonomic symptom score (β= -0.325;95% CI = -0.695, 0.045); predictors in the model accounted for 44.1% of the variance. CONCLUSIONS Baseline clinical, CSF, and imaging measures in early PD predicted change in MDS-UPDRS and dopamine-transporter binding, but the predictive value of the models was low. Adding the short-term change of possible predictors improved the predictive value, especially for modeling change in dopamine-transporter binding.
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Affiliation(s)
- Lana M Chahine
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Andrew Siderowf
- Departments of Neurology Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Janel Barnes
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Nicholas Seedorff
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Chelsea Caspell-Garcia
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Tanya Simuni
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Christopher S Coffey
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Douglas Galasko
- Department of Neurology, University of California, San Diego, CA, USA
| | - Brit Mollenhauer
- Department of Neurology, University Medical Center Goettingen, Goettingen, Germany and Paracelsus-Elena-Klinik, Kassel, Germany
| | | | - Nichole Daegele
- Institute for Neurodegenerative Disorders, New Haven, CT, USA
| | - Mark Frasier
- The Michael J. Fox Foundation, New York, NY, USA
| | - Caroline Tanner
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Karl Kieburtz
- Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA
| | - Kenneth Marek
- Institute for Neurodegenerative Disorders, New Haven, CT, USA
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Siderowf A, Jennings D, Stern M, Seibyl J, Eberly S, Oakes D, Marek K. Clinical and Imaging Progression in the PARS Cohort: Long-Term Follow-up. Mov Disord 2020; 35:1550-1557. [PMID: 32657461 DOI: 10.1002/mds.28139] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 04/27/2020] [Accepted: 05/17/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND AND OBJECTIVES The PARS (Parkinson Associated Risk Syndrome) study was designed to test whether screening for hyposmia followed by dopamine transporter imaging can identify risk for conversion to clinical PD, and to evaluate progression markers during the prodromal period. METHODS Subjects with hyposmia completed annual clinical evaluations and biennial [123 I]ß-CIT single-photon emission computed tomography scans. Subjects were categorized as normal (>80% age-expected tracer uptake; n = 134), indeterminate (>65-80%; n = 30), and dopamine transporter deficit (≤65%; n = 21) by their baseline scan, and survival analysis was used to compare risk of conversion to motor PD. Progressing to a scan with a dopamine transporter deficit was assessed for those subjects with either normal or indeterminate baseline imaging. RESULTS Over a mean of 6.3 [standard deviation: 2.2] years of follow-up, 67% (n = 14) of dopamine transporter deficit subjects, 20% (n = 6) of dopamine transporter indeterminate subjects, and 4% (n = 6) of dopamine transporter normal subjects converted to a PD diagnosis (P < 0.0001). Among subjects without dopamine transporter deficit at baseline, a reduction to ≤65% age-expected uptake occurred in 12 of 30 (40%) with indeterminate dopamine transporter and 7 of 134 (5%) with no dopamine transporter DAT deficit (P < 0.0001). Imaging conversion during follow-up was associated with subsequent clinical conversion (hazard ratio: 9.6; P = 0.0157). DISCUSSION AND CONCLUSIONS Long-term follow-up of the PARS cohort demonstrated a high rate of conversion to clinical PD in subjects who either had abnormal dopamine transporter imaging at baseline or developed abnormal imaging during follow-up. These data extend the earlier PARS findings and present new results showing the sequence of incident imaging deficit, imaging progression, and clinical changes that occur in prodromal PD. © 2020 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Andrew Siderowf
- Parkinson's Disease and Movement Disorders Center, Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Danna Jennings
- Institute for Neurodegenerative Disorders, New Haven, Connecticut, USA
| | - Matthew Stern
- Parkinson's Disease and Movement Disorders Center, Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - John Seibyl
- Institute for Neurodegenerative Disorders, New Haven, Connecticut, USA
| | - Shirley Eberly
- Department of Biostatistics and Computational Biology, University of Rochester, Rochester, New York, USA
| | - David Oakes
- Department of Biostatistics and Computational Biology, University of Rochester, Rochester, New York, USA
| | - Kenneth Marek
- Institute for Neurodegenerative Disorders, New Haven, Connecticut, USA
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Irwin DJ, Fedler J, Coffey CS, Caspell-Garcia C, Kang JH, Simuni T, Foroud T, Toga AW, Tanner CM, Kieburtz K, Chahine LM, Reimer A, Hutten S, Weintraub D, Mollenhauer B, Galasko DR, Siderowf A, Marek K, Trojanowski JQ, Shaw LM. Evolution of Alzheimer's Disease Cerebrospinal Fluid Biomarkers in Early Parkinson's Disease. Ann Neurol 2020; 88:574-587. [PMID: 32542885 PMCID: PMC7497251 DOI: 10.1002/ana.25811] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 06/03/2020] [Accepted: 06/05/2020] [Indexed: 12/13/2022]
Abstract
OBJECTIVE We analyzed the longitudinal profile of Alzheimer's disease (AD) cerebrospinal fluid (CSF) biomarkers in early Parkinson's disease (PD) compared with healthy controls (HCs) and tested baseline CSF biomarkers for prediction of clinical decline in PD. METHODS Amyloid-β 1 to 42 (Aβ42 ), total tau (t-tau) and phosphorylated tau (p-tau) at the threonine 181 position were measured using the high-precision Roche Elecsys electrochemiluminescence immunoassay in all available CSF samples from longitudinally studied patients with PD (n = 416) and HCs (n = 192) followed for up to 3 years in the Parkinson's Progression Markers Initiative (PPMI). Longitudinal CSF and clinical data were analyzed with linear-mixed effects models. RESULTS We found patients with PD had lower CSF t-tau (median = 157.7 pg/mL; range = 80.9-467.0); p-tau (median = 13.4 pg/mL; range = 8.0-40.1), and Aβ42 (median = 846.2 pg/mL; range = 238.8-3,707.0) than HCs at baseline (CSF t-tau median = 173.5 pg/mL; range = 82.0-580.8; p-tau median = 15.4 pg/mL; range = 8.1-73.6; and Aβ42 median = 926.5 pg/mL; range = 239.1-3,297.0; p < 0.05-0.001) and a moderate-to-strong correlation among these biomarkers in both patients with PD and HCs (Rho = 0.50-0.97; p < 0.001). Of the patients with PD, 31.5% had pathologically low levels of CSF Aβ42 at baseline and these patients with PD had lower p-tau levels (median = 10.8 pg/mL; range = 8.0-32.8) compared with 27.7% of HCs with pathologically low CSF Aβ42 (CSF p-tau median = 12.8 pg/mL; range 8.2-73.6; p < 0.03). In longitudinal CSF analysis, we found patients with PD had greater decline in CSF Aβ42 (mean difference = -41.83 pg/mL; p = 0.03) and CSF p-tau (mean difference = -0.38 pg/mL; p = 0.03) at year 3 compared with HCs. Baseline CSF Aβ42 values predicted small but measurable decline on cognitive, autonomic, and motor function in early PD. INTERPRETATION Our data suggest baseline CSF AD biomarkers may have prognostic value in early PD and that the dynamic change of these markers, although modest over a 3-year period, suggest biomarker profiles in PD may deviate from healthy aging. ANN NEUROL 2020;88:574-587.
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Affiliation(s)
- David J Irwin
- Department of Neurology, School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Janel Fedler
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Christopher S Coffey
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Chelsea Caspell-Garcia
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Ju Hee Kang
- Department of Pharmacology & Clinical Pharmacology, Inha University, Incheon, South Korea
| | - Tanya Simuni
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, IN, USA
| | - Arthur W Toga
- Laboratory of Neuro Imaging, University of Southern California, Los Angeles, CA, USA
| | - Caroline M Tanner
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Karl Kieburtz
- Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA
| | - Lana M Chahine
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | | | | | - Daniel Weintraub
- Department of Neurology, School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.,Department of Psychiatry Perelman, School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.,Michael J. Crescenz VA Medical Center, Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA, USA
| | - Brit Mollenhauer
- Department of Neurology, University Medical Center, Göttingen Paracelsus-Elena-Klinik, Kassel, Germany
| | - Douglas R Galasko
- Department of Neurology, University of San Diego, San Diego, CA, USA
| | - Andrew Siderowf
- Department of Neurology, School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Kenneth Marek
- Institute for Neurodegenerative Disorders, New Haven, CT, USA
| | - John Q Trojanowski
- Department of Pathology and Laboratory Medicine, School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.,Center for Neurodegenerative Disease Research, School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Leslie M Shaw
- Department of Pathology and Laboratory Medicine, School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
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Fleisher AS, Pontecorvo MJ, Devous MD, Lu M, Arora AK, Truocchio SP, Aldea P, Flitter M, Locascio T, Devine M, Siderowf A, Beach TG, Montine TJ, Serrano GE, Curtis C, Perrin A, Salloway S, Daniel M, Wellman C, Joshi AD, Irwin DJ, Lowe VJ, Seeley WW, Ikonomovic MD, Masdeu JC, Kennedy I, Harris T, Navitsky M, Southekal S, Mintun MA. Positron Emission Tomography Imaging With [18F]flortaucipir and Postmortem Assessment of Alzheimer Disease Neuropathologic Changes. JAMA Neurol 2020; 77:829-839. [PMID: 32338734 PMCID: PMC7186920 DOI: 10.1001/jamaneurol.2020.0528] [Citation(s) in RCA: 216] [Impact Index Per Article: 54.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Accepted: 01/10/2020] [Indexed: 01/05/2023]
Abstract
Importance Positron emission tomography (PET) may increase the diagnostic accuracy and confirm the underlying neuropathologic changes of Alzheimer disease (AD). Objective To determine the accuracy of antemortem [18F]flortaucipir PET images for predicting the presence of AD-type tau pathology at autopsy. Design, Setting, and Participants This diagnostic study (A16 primary cohort) was conducted from October 2015 to June 2018 at 28 study sites (27 in US sites and 1 in Australia). Individuals with a terminal illness who were older than 50 years and had a projected life expectancy of less than 6 months were enrolled. All participants underwent [18F]flortaucipir PET imaging, and scans were interpreted by 5 independent nuclear medicine physicians or radiologists. Supplemental autopsy [18F]flortaucipir images and pathological samples were also collected from 16 historically collected cases. A second study (FR01 validation study) was conducted from March 26 to April 26, 2019, in which 5 new readers assessed the original PET images for comparison to autopsy. Main Outcomes and Measures [18F]flortaucipir PET images were visually assessed and compared with immunohistochemical tau pathology. An AD tau pattern of flortaucipir retention was assessed for correspondence with a postmortem B3-level (Braak stage V or VI) pathological pattern of tau accumulation and to the presence of amyloid-β plaques sufficient to meet the criteria for high levels of AD neuropathological change. Success was defined as having at least 3 of the 5 readers above the lower bounds of the 95% CI for both sensitivity and specificity of 50% or greater. Results A total of 156 patients were enrolled in the A16 study and underwent [18F]flortaucipir PET imaging. Of these, 73 died during the study, and valid autopsies were performed for 67 of these patients. Three autopsies were evaluated as test cases and removed from the primary cohort (n = 64). Of the 64 primary cohort patients, 34 (53%) were women and 62 (97%) were white; mean (SD) age was 82.5 (9.6) years; and 49 (77%) had dementia, 1 (2%) had mild cognitive impairment, and 14 (22%) had normal cognition. Prespecified success criteria were met for the A16 primary cohort. The flortaucipir PET scans predicted a B3 level of tau pathology, with sensitivity ranging from 92.3% (95% CI, 79.7%-97.3%) to 100.0% (95% CI, 91.0%-100.0%) and specificity ranging from 52.0% (95% CI, 33.5%-70.0%) to 92.0% (95% CI, 75.0%-97.8%). A high level of AD neuropathological change was predicted with sensitivity of 94.7% (95% CI, 82.7%-98.5%) to 100.0% (95% CI, 90.8%-100.0%) and specificity of 50.0% (95% CI, 32.1%-67.9%) to 92.3% (95% CI, 75.9%-97.9%). The FR01 validation study also met prespecified success criteria. Addition of the supplemental autopsy data set and 3 test cases, which comprised a total of 82 patients and autopsies for both the A16 and FR01 studies, resulted in improved specificity and comparable overall accuracy. Among the 156 enrolled participants, 14 (9%) experienced at least 1 treatment-emergent adverse event. Conclusions and Relevance This study's findings suggest that PET imaging with [18F]flortaucipir could be used to identify the density and distribution of AD-type tau pathology and the presence of high levels of AD neuropathological change, supporting a neuropathological diagnosis of AD.
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Affiliation(s)
| | | | | | - Ming Lu
- Avid Radiopharmaceuticals, Philadelphia, Pennsylvania
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Joseph C. Masdeu
- Houston Methodist Institute for Academic Medicine, Houston, Texas
| | - Ian Kennedy
- Avid Radiopharmaceuticals, Philadelphia, Pennsylvania
| | - Thomas Harris
- Avid Radiopharmaceuticals, Philadelphia, Pennsylvania
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Pontecorvo MJ, Keene CD, Beach TG, Montine TJ, Arora AK, Devous MD, Navitsky M, Kennedy I, Joshi AD, Lu M, Serrano GE, Sue LI, Intorcia AJ, Rose SE, Wilson A, Hellstern L, Coleman N, Flitter M, Aldea P, Fleisher AS, Mintun MA, Siderowf A. Comparison of regional flortaucipir PET with quantitative tau immunohistochemistry in three subjects with Alzheimer's disease pathology: a clinicopathological study. EJNMMI Res 2020; 10:65. [PMID: 32542468 PMCID: PMC7295920 DOI: 10.1186/s13550-020-00653-x] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Accepted: 06/03/2020] [Indexed: 01/16/2023] Open
Abstract
Background The objective of this study was to make a quantitative comparison of flortaucipir PET retention with pathological tau and β-amyloid across a range of brain regions at autopsy. Methods Patients with dementia (two with clinical diagnosis of AD, one undetermined), nearing the end of life, underwent 20-min PET, beginning 80 min after an injection of ~370 mBq flortaucipir [18F]. Neocortical, basal ganglia, and limbic tissue samples were obtained bilaterally from 19 regions at autopsy and subject-specific PET regions of interest corresponding to the 19 sampled target tissue regions in each hemisphere were hand drawn on the PET images. SUVr values were calculated for each region using a cerebellar reference region. Abnormally phosphorylated tau (Ptau) and amyloid-β (Aβ) tissue concentrations were measured for each tissue region with an antibody capture assay (Histelide) using AT8 and H31L21 antibodies respectively. Results The imaging-to-autopsy interval ranged from 4–29 days. All three subjects had intermediate to high levels of AD neuropathologic change at autopsy. Mean cortical SUVr averaged across all three subjects correlated significantly with the Ptau immunoassay (Pearson r = 0.81; p < 0.0001). When Ptau and Aβ1-42 were both included in the model, the Ptau correlation with flortaucipir SUVr was preserved but there was no correlation of Aβ1-42 with flortaucipir. There was also a modest correlation between limbic (hippocampal/entorhinal and amygdala) flortaucipir SUVr and Ptau (Pearson r = 0.52; p < 0.080). There was no significant correlation between SUVr and Ptau in basal ganglia. Conclusions The results of this pilot study support a quantitative relationship between cortical flortaucipir SUVr values and quantitative measures of Ptau at autopsy. Additional research including more cases is needed to confirm the generalizability of these results. Trial registration, NIH Clinicaltrials.gov NCT # 02516046. Registered August 27, 2015. https://clinicaltrials.gov/ct2/show/NCT02516046?term=02516046&draw=2&rank=1
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Affiliation(s)
- Michael J Pontecorvo
- Avid Radiopharmaceuticals, 3711 Market St., 7th floor, Philadelphia, PA, 19104, USA.
| | - C Dirk Keene
- Department of Pathology, University of Washington, Seattle, WA, USA
| | - Thomas G Beach
- Civin Laboratory for Neuropathology, Banner Sun Health Research Institute, Phoenix, AZ, USA
| | | | - Anupa K Arora
- Avid Radiopharmaceuticals, 3711 Market St., 7th floor, Philadelphia, PA, 19104, USA
| | - Michael D Devous
- Avid Radiopharmaceuticals, 3711 Market St., 7th floor, Philadelphia, PA, 19104, USA
| | - Michael Navitsky
- Avid Radiopharmaceuticals, 3711 Market St., 7th floor, Philadelphia, PA, 19104, USA
| | - Ian Kennedy
- Avid Radiopharmaceuticals, 3711 Market St., 7th floor, Philadelphia, PA, 19104, USA
| | - Abhinay D Joshi
- Avid Radiopharmaceuticals, 3711 Market St., 7th floor, Philadelphia, PA, 19104, USA.,Present Address: Medpace Holdings, Inc., Cincinnati, Ohio, USA
| | - Ming Lu
- Avid Radiopharmaceuticals, 3711 Market St., 7th floor, Philadelphia, PA, 19104, USA
| | - Geidy E Serrano
- Civin Laboratory for Neuropathology, Banner Sun Health Research Institute, Phoenix, AZ, USA
| | - Lucia I Sue
- Civin Laboratory for Neuropathology, Banner Sun Health Research Institute, Phoenix, AZ, USA
| | - Anthony J Intorcia
- Civin Laboratory for Neuropathology, Banner Sun Health Research Institute, Phoenix, AZ, USA
| | - Shannon E Rose
- Department of Pathology, University of Washington, Seattle, WA, USA
| | - Angela Wilson
- Department of Pathology, University of Washington, Seattle, WA, USA
| | - Leanne Hellstern
- Department of Pathology, University of Washington, Seattle, WA, USA
| | - Natalie Coleman
- Department of Pathology, University of Washington, Seattle, WA, USA
| | - Matthew Flitter
- Avid Radiopharmaceuticals, 3711 Market St., 7th floor, Philadelphia, PA, 19104, USA
| | - Patricia Aldea
- Avid Radiopharmaceuticals, 3711 Market St., 7th floor, Philadelphia, PA, 19104, USA
| | - Adam S Fleisher
- Avid Radiopharmaceuticals, 3711 Market St., 7th floor, Philadelphia, PA, 19104, USA
| | - Mark A Mintun
- Avid Radiopharmaceuticals, 3711 Market St., 7th floor, Philadelphia, PA, 19104, USA
| | - Andrew Siderowf
- Avid Radiopharmaceuticals, 3711 Market St., 7th floor, Philadelphia, PA, 19104, USA.,Present Address: Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
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Purri R, Brennan L, Rick J, Xie SX, Deck BL, Chahine LM, Dahodwala N, Chen-Plotkin A, Duda JE, Morley JF, Akhtar RS, Trojanowski JQ, Siderowf A, Weintraub D. Subjective Cognitive Complaint in Parkinson's Disease Patients With Normal Cognition: Canary in the Coal Mine? Mov Disord 2020; 35:1618-1625. [PMID: 32520435 DOI: 10.1002/mds.28115] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Revised: 04/30/2020] [Accepted: 05/04/2020] [Indexed: 01/15/2023] Open
Abstract
OBJECTIVE The objective of this study was to determine the frequency and impact of subjective cognitive complaint (SCC) in Parkinson's disease (PD) patients with normal cognition. METHODS Patients with PD with expert consensus-determined normal cognition at baseline were asked a single question regarding the presence of SCC. Baseline (N = 153) and longitudinal (up to 4 follow-up visits during a 5-year period; N = 121) between-group differences in patients with PD with (+SCC) and without (-SCC) cognitive complaint were examined, including cognitive test performance and self-rated and informant-rated functional abilities. RESULTS A total of 81 (53%) participants reported a cognitive complaint. There were no between-group differences in global cognition at baseline. Longitudinally, the +SCC group declined more than the -SCC group on global cognition (Mattis Dementia Rating Scale-2 total score, F1,431 = 5.71, P = 0.02), processing speed (Symbol Digit Modalities Test, F1,425 = 7.52, P = 0.006), and executive function (Trail Making Test Part B, F1,419 = 4.48, P = 0.04), although the results were not significant after correction for multiple testing. In addition, the +SCC group was more likely to progress to a diagnosis of cognitive impairment over time (hazard ratio = 2.61, P = 0.02). The +SCC group also demonstrated significantly lower self-reported and knowledgeable informant-reported cognition-related functional abilities at baseline, and declined more on an assessment of global functional abilities longitudinally. CONCLUSIONS Patients with PD with normal cognition, but with SCC, report poorer cognition-specific functional abilities, and are more likely to be diagnosed with cognitive impairment and experience global functional ability decline long term. These findings suggest that SCC and worse cognition-related functional abilities may be sensitive indicators of initial cognitive decline in PD. © 2020 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Rachael Purri
- Department of Neurology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
| | - Laura Brennan
- Department of Neurology, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA
| | - Jacqueline Rick
- Department of Neurology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
| | - Sharon X Xie
- Department of Biostatistics, Epidemiology, & Informatics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
| | - Benjamin L Deck
- Department of Psychology, Drexel University, Philadelphia, Pennsylvania, USA
| | - Lana M Chahine
- Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Nabila Dahodwala
- Department of Neurology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
| | - Alice Chen-Plotkin
- Department of Neurology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
| | - John E Duda
- Department of Neurology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA.,Parkinson's Disease Research, Education, and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania, USA
| | - James F Morley
- Department of Neurology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA.,Parkinson's Disease Research, Education, and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania, USA
| | - Rizwan S Akhtar
- Department of Neurology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
| | - John Q Trojanowski
- Department of Pathology and Laboratory Medicine, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
| | - Andrew Siderowf
- Department of Neurology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
| | - Daniel Weintraub
- Department of Neurology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA.,Parkinson's Disease Research, Education, and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania, USA.,Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
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38
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Weintraub D, Caspell‐Garcia C, Simuni T, Cho HR, Coffey CS, Aarsland D, Alcalay RN, Barrett MJ, Chahine LM, Eberling J, Espay AJ, Hamilton J, Hawkins KA, Leverenz J, Litvan I, Richard I, Rosenthal LS, Siderowf A, York M. Neuropsychiatric symptoms and cognitive abilities over the initial quinquennium of Parkinson disease. Ann Clin Transl Neurol 2020; 7:449-461. [PMID: 32285645 PMCID: PMC7187707 DOI: 10.1002/acn3.51022] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Revised: 02/21/2020] [Accepted: 02/24/2020] [Indexed: 01/03/2023] Open
Abstract
OBJECTIVE To determine the evolution of numerous neuropsychiatric symptoms and cognitive abilities in Parkinson disease from disease onset. METHODS Prospectively 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. RESULTS Of 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. INTERPRETATION Neuropsychiatric features in Parkinson disease are common from the onset, increase over time, are frequently comorbid, and fluctuate in severity.
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Affiliation(s)
- Daniel Weintraub
- Department of PsychiatryPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvania
- Department of NeurologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvania
- Parkinson’s Disease Research, Education and Clinical CenterPhiladelphia Veterans Affairs Medical CenterPhiladelphiaPennsylvania
| | | | - Tanya Simuni
- Feinberg School of MedicineNorthwestern UniversityChicagoIllinois
| | - Hyunkeun R. Cho
- Department of BiostatisticsCollege of Public HealthUniversity of IowaIowa CityIowa
| | | | - Dag Aarsland
- Institute of Psychiatry, Psychology and NeuroscienceKing’s College LondonLondonEngland
| | - Roy N. Alcalay
- Department of NeurologyColumbia University Vagelos College of Physicians and SurgeonsNew YorkNew York
| | | | - Lana M. Chahine
- Department of NeurologyUniversity of Pittsburgh School of MedicinePittsburghPennsylvania
| | - Jamie Eberling
- Michael J. Fox Foundation for Parkinson’s ResearchNew YorkNew York
| | - Alberto J. Espay
- Department of NeurologyUniversity of Cincinnati Academic Health CenterCincinnatiOhio
| | - Jamie Hamilton
- Michael J. Fox Foundation for Parkinson’s ResearchNew YorkNew York
| | - Keith A. Hawkins
- Department of PsychiatryYale School of MedicineNew HavenConnecticut
| | - James Leverenz
- Lou Ruvo Center for Brain HealthCleveland ClinicClevelandOhio
| | - Irene Litvan
- UCSD Movement Disorder CenterDepartment of NeurosciencesUniversity of California San DiegoSan DiegoCalifornia
| | - Irene Richard
- Departments of Neurology and PsychiatrySchool of Medicine and DentistryUniversity of RochesterRochesterNew York
| | - Liana S. Rosenthal
- Department of NeurologyJohns Hopkins University School of MedicineBaltimoreMaryland
| | - Andrew Siderowf
- Department of NeurologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvania
| | - Michele York
- Departments of Neurology and Psychiatry & Behavioral SciencesBaylor College of MedicineHoustonTexas
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Simuni T, Brumm MC, Uribe L, Caspell-Garcia C, Coffey CS, Siderowf A, Alcalay RN, Trojanowski JQ, Shaw LM, Seibyl J, Singleton A, Toga AW, Galasko D, Foroud T, Nudelman K, Tosun-Turgut D, Poston K, Weintraub D, Mollenhauer B, Tanner CM, Kieburtz K, Chahine LM, Reimer A, Hutten S, Bressman S, Marek K. 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. Mov Disord 2020; 35:833-844. [PMID: 32073681 DOI: 10.1002/mds.27989] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 01/13/2020] [Accepted: 01/14/2020] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND There 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. OBJECTIVE The 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. METHODS The 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. RESULTS We 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. CONCLUSIONS We 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 REGISTRATION ClinicalTrials.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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Affiliation(s)
- Tanya Simuni
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Michael C Brumm
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, Iowa, USA
| | - Liz Uribe
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, Iowa, USA
| | - Chelsea Caspell-Garcia
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, Iowa, USA
| | - Christopher S Coffey
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, Iowa, USA
| | - Andrew Siderowf
- Departments of Neurology Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Roy N Alcalay
- Department of Neurology, The Taub Institite for Research on Alzheimer's Disease and the Aging Brain, Columbia University, New York, New York, USA
| | - John Q Trojanowski
- Departments of Pathology and Laboratory Medicine Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Leslie M Shaw
- Departments of Pathology and Laboratory Medicine Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - John Seibyl
- Institute for Neurodegenerative Disorders, New Haven, Connecticut, USA
| | - Andrew Singleton
- Laboratory of Neurogenetics, National Institute on Aging, NIH, Bethesda, Maryland, USA
| | - Arthur W Toga
- Laboratory of Neuroimaging (LONI), University of Southern California, Los Angeles, California, USA
| | - Doug Galasko
- Department of Neurology, University of California, San Diego, California, USA
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, Indiana, USA
| | - Kelly Nudelman
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, Indiana, USA
| | - Duygu Tosun-Turgut
- Department of Neurology, University of California San Francisco, San Francisco, California, USA
| | - Kathleen Poston
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, California, USA
| | - Daniel Weintraub
- Departments of Psychiatry and Neurology Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Brit Mollenhauer
- Department of Neurology, University Medical Center Goettingen, Goettingen, Germany and Paracelsus-Elena-Klinik, Kassel, Germany
| | - Caroline M Tanner
- Department of Neurology, University of California San Francisco, San Francisco, California, USA
| | - Karl Kieburtz
- Department of Neurology, University of Rochester Medical Center, Rochester, New York, USA
| | - Lana M Chahine
- Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Alyssa Reimer
- The Michael J. Fox Foundation for Parkinson's Research, New York, New York, USA
| | - Samantha Hutten
- The Michael J. Fox Foundation for Parkinson's Research, New York, New York, USA
| | - Susan Bressman
- Icahn School of Medicine, Mount Sinai, New York, New York, USA
| | - Kenneth Marek
- Institute for Neurodegenerative Disorders, New Haven, Connecticut, USA
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40
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Simuni T, Uribe L, Cho HR, Caspell-Garcia C, Coffey CS, Siderowf A, Trojanowski JQ, Shaw LM, Seibyl J, Singleton A, Toga AW, Galasko D, Foroud T, Tosun D, Poston K, Weintraub D, Mollenhauer B, Tanner CM, Kieburtz K, Chahine LM, Reimer A, Hutten SJ, Bressman S, Marek K. Clinical and dopamine transporter imaging characteristics of non-manifest LRRK2 and GBA mutation carriers in the Parkinson's Progression Markers Initiative (PPMI): a cross-sectional study. Lancet Neurol 2019; 19:71-80. [PMID: 31678032 DOI: 10.1016/s1474-4422(19)30319-9] [Citation(s) in RCA: 76] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Revised: 07/15/2019] [Accepted: 07/23/2019] [Indexed: 12/12/2022]
Abstract
BACKGROUND The Parkinson's Progression Markers Initiative (PPMI) is an ongoing observational, longitudinal cohort study of participants with Parkinson's disease, healthy controls, and carriers of the most common Parkinson's disease-related genetic mutations, which aims to define biomarkers of Parkinson's disease diagnosis and progression. All participants are assessed annually with a battery of motor and non-motor scales, 123-I Ioflupane dopamine transporter (DAT) imaging, and biological variables. We aimed to examine whether non-manifesting carriers of LRRK2 and GBA mutations have prodromal features of Parkinson's disease that correlate with reduced DAT binding. METHODS This cross-sectional analysis is based on assessments done at enrolment in the subset of non-manifesting carriers of LRRK2 and GBA mutations enrolled into the PPMI study from 33 participating sites worldwide. The primary objective was to examine baseline clinical and DAT imaging characteristics in non-manifesting carriers with GBA and LRRK2 mutations compared with healthy controls. DAT deficit was defined as less than 65% of putamen striatal binding ratio expected for the individual's age. We used t tests, χ2 tests, and Fisher's exact tests to compare baseline demographics across groups. An inverse probability weighting method was applied to control for potential confounders such as age and sex. To account for multiple comparisons, we applied a family-wise error rate to each set of analyses. This study is registered with ClinicalTrials.gov, number NCT01141023. FINDINGS Between Jan 1, 2014, and Jan 1, 2019, the study enrolled 208 LRRK2 (93% G2019S) and 184 GBA (96% N370S) non-manifesting carriers. Both groups were similar with respect to mean age, and about 60% were female. Of the 286 (73%) non-manifesting carriers that had DAT imaging results, 18 (11%) LRRK2 and four (3%) GBA non-manifesting carriers had a DAT deficit. Compared with healthy controls, both LRRK2 and GBA non-manifesting carriers had significantly increased mean scores on the Movement Disorders Society Unified Parkinson's Disease Rating Scale (total score 4·6 [SD 4·4] healthy controls vs 8·4 [7·3] LRRK2 vs 9·5 [9·2] GBA, p<0·0001 for both comparisons) and the Scale for Outcomes for PD - autonomic function (5·8 [3·7] vs 8·1 [5·9] and 8·4 [6·0], p<0·0001 for both comparisons). There was no difference in daytime sleepiness, anxiety, depression, impulsive-compulsive disorders, blood pressure, urate, and rapid eye movement (REM) behaviour disorder scores. Hyposmia was significantly more common only in LRRK2 non-manifesting carriers (69 [36%] of 194 healthy controls vs 114 [55%] of 208 LRRK2 non-manifesting carriers; p=0·0003). Finally, GBA but not LRRK2 non-manifesting carriers showed increased DAT striatal binding ratios compared with healthy controls in the caudate (healthy controls 2·98 [SD 0·63] vs GBA 3·26 [0·63]; p<0·0001), putamen (2·15 [0·56] vs 2·48 [0·52]; p<0·0001), and striatum (2·56 [0·57] vs 2·87 [0·55]; p<0·0001). INTERPRETATION Our data show evidence of subtle motor and non-motor signs of Parkinson's disease in non-manifesting carriers compared with healthy controls that can precede DAT deficit. Longitudinal data will be essential to confirm these findings and define the trajectory and predictors for development of Parkinson's disease. FUNDING Michael J Fox Foundation for Parkinson's Research.
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Affiliation(s)
- Tanya Simuni
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
| | - Liz Uribe
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Hyunkeun Ryan Cho
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Chelsea Caspell-Garcia
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Christopher S Coffey
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Andrew Siderowf
- Departments of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - John Q Trojanowski
- Departments of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Leslie M Shaw
- Departments of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - John Seibyl
- Institute for Neurodegenerative Disorders, New Haven, CT, USA
| | - Andrew Singleton
- Laboratory of Neurogenetics, National Institute on Aging, NIH, Bethesda, MD, USA
| | - Arthur W Toga
- Laboratory of Neuroimaging (LONI), University of Southern California, Los Angeles, CA, USA
| | - Doug Galasko
- Department of Neurology, University of California, San Diego, CA, USA
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, IN, USA
| | - Duygu Tosun
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Kathleen Poston
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Daniel Weintraub
- Departments of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Departments of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Brit Mollenhauer
- Department of Neurology, University Medical Center Goettingen, Goettingen, Germany; Paracelsus-Elena-Klinik, Kassel, Germany
| | - Caroline M Tanner
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Karl Kieburtz
- Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA
| | - Lana M Chahine
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Alyssa Reimer
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Samantha J Hutten
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Susan Bressman
- Icahn School of Medicine, Mount Sinai, New York, NY, USA
| | - Kenneth Marek
- Institute for Neurodegenerative Disorders, New Haven, CT, USA
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Posavi M, Diaz-Ortiz M, Liu B, Swanson CR, Skrinak RT, Hernandez-Con P, Amado DA, Fullard M, Rick J, Siderowf A, Weintraub D, McCluskey L, Trojanowski JQ, Dewey RB, Huang X, Chen-Plotkin AS. Characterization of Parkinson's disease using blood-based biomarkers: A multicohort proteomic analysis. PLoS Med 2019; 16:e1002931. [PMID: 31603904 PMCID: PMC6788685 DOI: 10.1371/journal.pmed.1002931] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Accepted: 09/05/2019] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Parkinson's disease (PD) is a progressive neurodegenerative disease affecting about 5 million people worldwide with no disease-modifying therapies. We sought blood-based biomarkers in order to provide molecular characterization of individuals with PD for diagnostic confirmation and prediction of progression. METHODS AND FINDINGS In 141 plasma samples (96 PD, 45 neurologically normal control [NC] individuals; 45.4% female, mean age 70.0 years) from a longitudinally followed Discovery Cohort based at the University of Pennsylvania (UPenn), we measured levels of 1,129 proteins using an aptamer-based platform. We modeled protein plasma concentration (log10 of relative fluorescence units [RFUs]) as the effect of treatment group (PD versus NC), age at plasma collection, sex, and the levodopa equivalent daily dose (LEDD), deriving first-pass candidate protein biomarkers based on p-value for PD versus NC. These candidate proteins were then ranked by Stability Selection. We confirmed findings from our Discovery Cohort in a Replication Cohort of 317 individuals (215 PD, 102 NC; 47.9% female, mean age 66.7 years) from the multisite, longitudinally followed National Institute of Neurological Disorders and Stroke Parkinson's Disease Biomarker Program (PDBP) Cohort. Analytical approach in the Replication Cohort mirrored the approach in the Discovery Cohort: each protein plasma concentration (log10 of RFU) was modeled as the effect of group (PD versus NC), age at plasma collection, sex, clinical site, and batch. Of the top 10 proteins from the Discovery Cohort ranked by Stability Selection, four associations were replicated in the Replication Cohort. These blood-based biomarkers were bone sialoprotein (BSP, Discovery false discovery rate [FDR]-corrected p = 2.82 × 10-2, Replication FDR-corrected p = 1.03 × 10-4), osteomodulin (OMD, Discovery FDR-corrected p = 2.14 × 10-2, Replication FDR-corrected p = 9.14 × 10-5), aminoacylase-1 (ACY1, Discovery FDR-corrected p = 1.86 × 10-3, Replication FDR-corrected p = 2.18 × 10-2), and growth hormone receptor (GHR, Discovery FDR-corrected p = 3.49 × 10-4, Replication FDR-corrected p = 2.97 × 10-3). Measures of these proteins were not significantly affected by differences in sample handling, and they did not change comparing plasma samples from 10 PD participants sampled both on versus off dopaminergic medication. Plasma measures of OMD, ACY1, and GHR differed in PD versus NC but did not differ between individuals with amyotrophic lateral sclerosis (ALS, n = 59) versus NC. In the Discovery Cohort, individuals with baseline levels of GHR and ACY1 in the lowest tertile were more likely to progress to mild cognitive impairment (MCI) or dementia in Cox proportional hazards analyses adjusting for age, sex, and disease duration (hazard ratio [HR] 2.27 [95% CI 1.04-5.0, p = 0.04] for GHR, and HR 3.0 [95% CI 1.24-7.0, p = 0.014] for ACY1). GHR's association with cognitive decline was confirmed in the Replication Cohort (HR 3.6 [95% CI 1.20-11.1, p = 0.02]). The main limitations of this study were its reliance on the aptamer-based platform for protein measurement and limited follow-up time available for some cohorts. CONCLUSIONS In this study, we found that the blood-based biomarkers BSP, OMD, ACY1, and GHR robustly associated with PD across multiple clinical sites. Our findings suggest that biomarkers based on a peripheral blood sample may be developed for both disease characterization and prediction of future disease progression in PD.
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Affiliation(s)
- Marijan Posavi
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Maria Diaz-Ortiz
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Benjamine Liu
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Christine R Swanson
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- National Institute of Neurological Disease and Stroke, National Institutes of Health, Bethesda, Maryland, United States of America
| | - R Tyler Skrinak
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Pilar Hernandez-Con
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Defne A Amado
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Michelle Fullard
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Jacqueline Rick
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Andrew Siderowf
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Daniel Weintraub
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Leo McCluskey
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - John Q Trojanowski
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Richard B Dewey
- Department of Neurology and Neurotherapeutics, Clinical Center for Movement Disorders at the University of Texas Southwestern Medical Center, Dallas, Texas, United States of America
| | - Xuemei Huang
- Department of Neurology, Penn State College of Medicine, Hershey, Pennsylvania, United States of America
| | - Alice S Chen-Plotkin
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
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Mollenhauer B, Caspell-Garcia CJ, Coffey CS, Taylor P, Singleton A, Shaw LM, Trojanowski JQ, Frasier M, Simuni T, Iranzo A, Oertel W, Siderowf A, Weintraub D, Seibyl J, Toga AW, Tanner CM, Kieburtz K, Chahine LM, Marek K, Galasko D. Longitudinal analyses of cerebrospinal fluid α-Synuclein in prodromal and early Parkinson's disease. Mov Disord 2019; 34:1354-1364. [PMID: 31361367 PMCID: PMC7098385 DOI: 10.1002/mds.27806] [Citation(s) in RCA: 61] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Revised: 06/17/2019] [Accepted: 07/08/2019] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Aggregation of α-synuclein is central to the pathophysiology of PD. Biomarkers related to α-synuclein may be informative for PD diagnosis/progression. OBJECTIVES To analyze α-synuclein in CSF in drug-naïve PD, healthy controls, and prodromal PD in the Parkinson's Progression Markers Initiative. METHODS Over up to 36-month follow-up, CSF total α-synuclein and its association with MDS-UPDRS motor scores, cognitive assessments, and dopamine transporter imaging were assessed. RESULTS The inception cohort included PD (n = 376; age [mean {standard deviation} years]: 61.7 [9.62]), healthy controls (n = 173; age, 60.9 [11.3]), hyposmics (n = 16; age, 68.3 [6.15]), and idiopathic rapid eye movement sleep behavior disorder (n = 32; age, 69.3 [4.83]). Baseline CSF α-synuclein was lower in manifest and prodromal PD versus healthy controls. Longitudinal α-synuclein decreased significantly in PD at 24 and 36 months, did not change in prodromal PD over 12 months, and trended toward an increase in healthy controls. The decrease in PD was not shown when CSF samples with high hemoglobin concentration were removed from the analysis. CSF α-synuclein changes did not correlate with longitudinal MDS-UPDRS motor scores or dopamine transporter scan. CONCLUSIONS CSF α-synuclein decreases early in the disease, preceding motor PD. CSF α-synuclein does not correlate with progression and therefore does not reflect ongoing dopaminergic neurodegeneration. Decreased CSF α-synuclein may be an indirect index of changes in the balance between α-synuclein secretion, solubility, or aggregation in the brain, reflecting its overall turnover. Additional biomarkers more directly related to α-synuclein pathophysiology and disease progression and other markers to be identified by, for example, proteomics and metabolomics are needed. © 2019 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Brit Mollenhauer
- Department of Neurology, University Medical Center Goettingen, Göttingen, Germany; and Paracelsus-Elena Klinik, Kassel, Germany
| | | | - Christopher S. Coffey
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, Iowa, USA
| | | | - Andy Singleton
- Molecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
| | - Leslie M. Shaw
- Department of Pathology & Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - John Q. Trojanowski
- Center for Neurodegenerative Disease Research, Institute on Aging, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Morris K. Udall Center of Excellence for Parkinson’s Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Mark Frasier
- The Michael J. Fox Foundation for Parkinson’s Research, New York, New York, USA
| | - Tanya Simuni
- Parkinson’s Disease and Movement Disorders Center, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Alex Iranzo
- Neurological Service, Hospital Clinic de Barcelona, Barcelona, Spain
| | - Wolfgang Oertel
- Department of Neurology, Philipps University Marburg, Marburg, Germany
| | - Andrew Siderowf
- Morris K. Udall Center of Excellence for Parkinson’s Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Neurology Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Daniel Weintraub
- Department of Neurology Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - John Seibyl
- Institute for Neurodegenerative Disorders, New Haven, Connecticut, USA
| | - Arthur W. Toga
- University of Southern California, Laboratory of Neuro Imaging, Los Angeles, California, USA
| | - Caroline M. Tanner
- Department of Neurology, University of California San Francisco, San Francisco, California, USA
| | - Karl Kieburtz
- Clinical Trials Coordination Center, University of Rochester Medical Center, Rochester, New York, USA
| | - Lana M. Chahine
- Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Kenneth Marek
- Institute for Neurodegenerative Disorders, New Haven, Connecticut, USA
| | - Douglas Galasko
- Department of Neurosciences, University of California, San Diego, San Diego, California, USA
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43
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Tropea TF, Mak J, Guo MH, Xie SX, Suh E, Rick J, Siderowf A, Weintraub D, Grossman M, Irwin D, Wolk DA, Trojanowski JQ, Van Deerlin V, Chen-Plotkin AS. TMEM106B Effect on cognition in Parkinson disease and frontotemporal dementia. Ann Neurol 2019; 85:801-811. [PMID: 30973966 PMCID: PMC6953172 DOI: 10.1002/ana.25486] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2018] [Revised: 04/10/2019] [Accepted: 04/10/2019] [Indexed: 12/11/2022]
Abstract
OBJECTIVE Common variants near TMEM106B associate with risk of developing frontotemporal dementia (FTD). Emerging evidence suggests a role for TMEM106B in neurodegenerative processes beyond FTD. We evaluate the effect of TMEM106B genotype on cognitive decline across multiple neurogenerative diseases. METHODS We longitudinally followed 870 subjects with diagnoses of Parkinson disease (PD; n = 179), FTD (n = 179), Alzheimer disease (AD; n = 300), memory-predominant mild cognitive impairment (MCI; n = 75), or neurologically normal control subjects (NC; n = 137) at the University of Pennsylvania (UPenn). All participants had annual Mini-Mental State Examination (MMSE; median follow-up duration = 3.0 years) and were genotyped at TMEM106B index single nucleotide polymorphism rs1990622. Genotype effects on cognition were confirmed by extending analyses to additional cognitive instruments (Mattis Dementia Rating Scale-2 [DRS-2] and Montreal Cognitive Assessment [MoCA]) and to an international validation cohort (Parkinson's Progression Markers Initiative [PPMI], N = 371). RESULTS The TMEM106B rs1990622T allele, linked to increased risk of FTD, associated with greater MMSE decline over time in PD subjects but not in AD or MCI subjects. For FTD subjects, rs1990622T associated with more rapid decrease in MMSE only under the minor-allele, rs1990622C , dominant model. Among PD patients, rs1990622T carriers from the UPenn cohort demonstrated more rapid longitudinal decline in DRS-2 scores. Finally, in the PPMI cohort, TMEM106B risk allele carriers demonstrated more rapid longitudinal decline in MoCA scores. INTERPRETATION Irrespective of cognitive instrument or cohort assessed, TMEM106B acts as a genetic modifier for cognitive trajectory in PD. Our results implicate lysosomal dysfunction in the pathogenesis of cognitive decline in 2 different proteinopathies. ANN NEUROL 2019;85:801-811.
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Affiliation(s)
- Thomas F Tropea
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Jordan Mak
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Michael H Guo
- Program in Medical and Population Genetics, Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA
- Department of Medicine, University of North Carolina Hospitals, Chapel Hill, NC
| | - Sharon X Xie
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Eunran Suh
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Jacqueline Rick
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Andrew Siderowf
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Daniel Weintraub
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Parkinson's Disease and Mental Illness Research, Education, and Clinical Centers, Philadelphia Veterans Affairs Medical Center, Philadelphia, PA
| | - Murray Grossman
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - David Irwin
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - David A Wolk
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - John Q Trojanowski
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Vivianna Van Deerlin
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Alice S Chen-Plotkin
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
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Deck BL, Xie SX, Choi G, Rick J, Siderowf A, Rudovsky S, Chen-Plotkin A, Duda JE, Morley JF, Dahodwala N, Trojanowski JQ, Weintraub D. Cognitive Functional Abilities in Parkinson's Disease: Agreement Between Patients and Informants. Mov Disord Clin Pract 2019; 6:440-445. [PMID: 31392244 DOI: 10.1002/mdc3.12781] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Revised: 04/19/2019] [Accepted: 04/22/2019] [Indexed: 12/20/2022] Open
Abstract
Background The Penn Parkinson's Daily Activities Questionnaire-15 (PDAQ-15) assesses cognition-related instrumental activities of daily living (IADL) in Parkinson's disease (PD). Objectives To assess the degree and predictors of disagreement between patients (PT) and knowledgeable informants (KI) on the PDAQ-15. Methods We recruited 254 PT and KI pairs (PT-KI), determined predictors of agreement, and compared scores to a performance-based functional measure (Direct Assessment of Functional Status [DAFS]; N = 61). Results PT and KI total score (intraclass correlation = 0.57) and individual item (Cohen's kappa = 0.46-0.62) agreement were moderate. Patient depression, global cognition, and caregiver burden (all P < 0.05), predicted PT-KI discrepancy. PT-KI discrepancy was highest in patients with a dementia diagnosis, followed by mild cognitive impairment and then normal cognition (all P < 0.01), with PT rating themselves relatively more functionally intact as cognition worsened. DAFS performance was more highly correlated with KI (r = 0.82; P < 0.001) than PT (r = 0.62; P < 0.001) PDAQ-15 score. Conclusions Our results support using KI as proxies when assessing cognitive IADLs in PD PTs, particularly in cases of more advanced cognitive decline.
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Affiliation(s)
- Benjamin L Deck
- Departments of Neurology, Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA.,Department of Psychology Drexel University Philadelphia Pennsylvania USA
| | - Sharon X Xie
- Departments of Biostatistics, Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA
| | - Gyujae Choi
- Department of Radiation Oncology Baylor College of Medicine Houston Texas USA
| | - Jacqueline Rick
- Departments of Neurology, Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA
| | - Andrew Siderowf
- Departments of Neurology, Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA
| | - Samuel Rudovsky
- Departments of Neurology, Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA
| | - Alice Chen-Plotkin
- Departments of Neurology, Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA
| | - John E Duda
- Departments of Neurology, Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA.,Michael J. Crescenz Veterans Affairs Medical Center, Parkinson's Disease Research Education and Clinical Center (PADRECC) Philadelphia Pennsylvania USA
| | - James F Morley
- Departments of Neurology, Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA.,Michael J. Crescenz Veterans Affairs Medical Center, Parkinson's Disease Research Education and Clinical Center (PADRECC) Philadelphia Pennsylvania USA
| | - Nabila Dahodwala
- Departments of Neurology, Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA
| | - John Q Trojanowski
- Departments of Pathology and Laboratory Medicine, Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA
| | - Daniel Weintraub
- Departments of Neurology, Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA.,Departments of Psychiatry, Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA.,Michael J. Crescenz Veterans Affairs Medical Center, Parkinson's Disease Research Education and Clinical Center (PADRECC) Philadelphia Pennsylvania USA
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Peterson B, Armstrong M, Galasko D, Galvin JE, Goldman J, Irwin D, Paulson H, Kaufer D, Leverenz J, Lunde A, McKeith IG, Siderowf A, Taylor A, Amodeo K, Barrett M, Domoto-Reilly K, Duda J, Gomperts S, Graff-Radford N, Holden S, Honig L, Huddleston D, Lippa C, Litvan I, Manning C, Marder K, Moussa C, Onyike C, Pagan F, Pantelyat A, Pelak V, Poston K, Quinn J, Richard I, Rosenthal LS, Sabbagh M, Scharre D, Sha S, Shill H, Torres-Yaghi Y, Christie T, Graham T, Richards I, Koehler M, Boeve B. Lewy Body Dementia Association's Research Centers of Excellence Program: Inaugural Meeting Proceedings. Alzheimers Res Ther 2019; 11:23. [PMID: 30867052 PMCID: PMC6417280 DOI: 10.1186/s13195-019-0476-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/05/2022]
Abstract
The first Lewy Body Dementia Association (LBDA) Research Centers of Excellence (RCOE) Investigator’s meeting was held on December 14, 2017, in New Orleans. The program was established to increase patient access to clinical experts on Lewy body dementia (LBD), which includes dementia with Lewy bodies (DLB) and Parkinson’s disease dementia (PDD), and to create a clinical trials-ready network. Four working groups (WG) were created to pursue the LBDA RCOE aims: (1) increase access to high-quality clinical care, (2) increase access to support for people living with LBD and their caregivers, (3) increase knowledge of LBD among medical and allied (or other) professionals, and (4) create infrastructure for a clinical trials-ready network as well as resources to advance the study of new therapeutics.
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Affiliation(s)
| | | | | | | | | | - David Irwin
- University of Pennsylvania, Philadelphia, USA
| | | | | | | | - Angela Lunde
- Mayo Clinic campus, 200 1st Street SW, Rochester, MN, 55905, USA
| | | | | | | | | | | | | | - John Duda
- University of Pennsylvania, Philadelphia, USA
| | | | | | | | | | | | - Carol Lippa
- Thomas Jefferson University, Philadelphia, USA
| | | | | | | | - Charbel Moussa
- Georgetown University Medical Center, Washington, D.C., USA
| | | | - Fernando Pagan
- Georgetown University Medical Center, Washington, D.C., USA
| | | | | | | | - Joseph Quinn
- Oregon Health & Science University, Portland, USA
| | | | | | | | | | | | | | | | | | - Todd Graham
- Lewy Body Dementia Association, Lilburn, USA
| | | | | | - Brad Boeve
- Mayo Clinic campus, 200 1st Street SW, Rochester, MN, 55905, USA.
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Prakash N, Caspell-Garcia C, Coffey C, Siderowf A, Tanner CM, Kieburtz K, Mollenhauer B, Galasko D, Merchant K, Foroud T, Chahine LM, Weintraub D, Casaceli C, Dorsey R, Wilson R, Herzog M, Daegele N, Arnedo V, Frasier M, Sherer T, Marek K, Frank S, Jennings D, Simuni T. Feasibility and safety of lumbar puncture in the Parkinson's disease research participants: Parkinson's Progression Marker Initiative (PPMI). Parkinsonism Relat Disord 2019; 62:201-209. [PMID: 30738748 DOI: 10.1016/j.parkreldis.2018.12.025] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2018] [Revised: 12/11/2018] [Accepted: 12/19/2018] [Indexed: 12/29/2022]
Abstract
OBJECTIVE To determine the feasibility, safety and tolerability of lumbar punctures (LPs) in research participants with early Parkinson disease (PD), subjects without evidence of dopaminergic deficiency (SWEDDs) and healthy volunteers (HC). BACKGROUND Cerebrospinal fluid (CSF) analysis is becoming an essential part of the biomarkers discovery effort in PD with still limited data on safety and feasibility of serial LPs in PD participants. DESIGN/METHODS Parkinson's Progression Marker Initiative (PPMI) is a longitudinal observation study designed to identify PD progression biomarkers. All PPMI participants undergo LP at baseline, 6, 12 months and yearly thereafter. CSF collection is performed by a trained investigator using predominantly atraumatic needles. Adverse events (AEs) are monitored by phone one week after LP completion. We analyzed safety data from baseline LPs. RESULTS PPMI enrolled 683 participants (423 PD/196 HC/64 SWEDDs) from 23 study sites. CSF was collected at baseline in 97.5% of participants, of whom 5.4% underwent collection under fluoroscopy. 23% participants reported any related AEs, 68% of all AE were mild while 5.6% were severe. The most common AEs were headaches (13%) and low back pain (6.5%) and both occurred more commonly in HC and SWEDDs compared to PD participants. Factors associated with higher incidence of AEs across the cohorts included female gender, younger age and use of traumatic needles with larger diameter. AEs largely did not impact compliance with the future LPs. CONCLUSIONS LPs are safe and feasible in PD research participants. Specific LP techniques (needle type and gauge) may reduce the overall incidence of AEs.
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Affiliation(s)
- Neha Prakash
- Northwestern University Feinberg School of Medicine, USA.
| | | | | | | | | | | | - Brit Mollenhauer
- Center of Parkinsonism and Movement Disorders Paracelsus-Elena Klinik Kassel and University Medical Center Goettingen, Germany.
| | | | | | | | | | | | | | - Ray Dorsey
- University of Rochester Medical Center, USA.
| | - Renee Wilson
- Clinical Trial Coordination Center, University of Rochester Medical Center, USA.
| | | | | | | | | | | | - Ken Marek
- Institute for Neurodegenerative Disorders, USA.
| | - Samuel Frank
- Harvard Medical School, Beth Israel Deaconess Medical Center, Parkinson's Disease and Movement Disorders Center, Director of the HDSA Center of Excellence, USA.
| | | | - Tanya Simuni
- Northwestern University Feinberg School of Medicine, USA.
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Marek K, Chowdhury S, Siderowf A, Lasch S, Coffey CS, Caspell‐Garcia C, Simuni T, Jennings D, Tanner CM, Trojanowski JQ, Shaw LM, Seibyl J, Schuff N, Singleton A, Kieburtz K, Toga AW, Mollenhauer B, Galasko D, Chahine LM, Weintraub D, Foroud T, Tosun‐Turgut D, Poston K, Arnedo V, Frasier M, Sherer T. The Parkinson's progression markers initiative (PPMI) - establishing a PD biomarker cohort. Ann Clin Transl Neurol 2018; 5:1460-1477. [PMID: 30564614 PMCID: PMC6292383 DOI: 10.1002/acn3.644] [Citation(s) in RCA: 242] [Impact Index Per Article: 40.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2018] [Revised: 07/30/2018] [Accepted: 08/03/2018] [Indexed: 01/05/2023] Open
Abstract
OBJECTIVE The Parkinson's Progression Markers Initiative (PPMI) is an observational, international study designed to establish biomarker-defined cohorts and identify clinical, imaging, genetic, and biospecimen Parkinson's disease (PD) progression markers to accelerate disease-modifying therapeutic trials. METHODS A total of 423 untreated PD, 196 Healthy Control (HC) and 64 SWEDD (scans without evidence of dopaminergic deficit) subjects were enrolled at 24 sites. To enroll PD subjects as early as possible following diagnosis, subjects were eligible with only asymmetric bradykinesia or tremor plus a dopamine transporter (DAT) binding deficit on SPECT imaging. Acquisition of data was standardized as detailed at www.ppmi-info.org. RESULTS Approximately 9% of enrolled subjects had a single PD sign at baseline. DAT imaging excluded 16% of potential PD subjects with SWEDD. The total MDS-UPDRS for PD was 32.4 compared to 4.6 for HC and 28.2 for SWEDD. On average, PD subjects demonstrated 45% and 68% reduction in mean striatal and contralateral putamen Specific Binding Ratios (SBR), respectively. Cerebrospinal fluid (CSF) was acquired from >97% of all subjects. CSF (PD/HC/SWEDD pg/mL) α-synuclein (1845/2204/2141) was reduced in PD vs HC or SWEDD (P < 0.03). Similarly, t-tau (45/53) and p-tau (16/18) were reduced in PD versus HC (P < 0.01). INTERPRETATION PPMI has detailed the biomarker signature for an early PD cohort defined by clinical features and imaging biomarkers. This strategy provides the framework to establish biomarker cohorts and to define longitudinal progression biomarkers to support future PD treatment trials.
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Affiliation(s)
- Kenneth Marek
- Institute for Neurodegenerative DisordersNew HavenConnecticut
| | - Sohini Chowdhury
- The Michael J. Fox Foundation for Parkinson's ResearchNew YorkNew York
| | | | - Shirley Lasch
- Institute for Neurodegenerative DisordersNew HavenConnecticut
| | | | | | | | | | | | | | | | - John Seibyl
- Institute for Neurodegenerative DisordersNew HavenConnecticut
| | | | | | - Karl Kieburtz
- Clinical Trials Coordination CenterUniversity of RochesterRochesterNew York
| | | | | | | | | | | | | | | | | | - Vanessa Arnedo
- The Michael J. Fox Foundation for Parkinson's ResearchNew YorkNew York
| | - Mark Frasier
- The Michael J. Fox Foundation for Parkinson's ResearchNew YorkNew York
| | - Todd Sherer
- The Michael J. Fox Foundation for Parkinson's ResearchNew YorkNew York
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Chahine LM, Urbe L, Caspell-Garcia C, Aarsland D, Alcalay R, Barone P, Burn D, Espay AJ, Hamilton JL, Hawkins KA, Lasch S, Leverenz JB, Litvan I, Richard I, Siderowf A, Coffey CS, Simuni T, Weintraub D. Cognition among individuals along a spectrum of increased risk for Parkinson's disease. PLoS One 2018; 13:e0201964. [PMID: 30125297 PMCID: PMC6101368 DOI: 10.1371/journal.pone.0201964] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Accepted: 07/25/2018] [Indexed: 01/02/2023] Open
Abstract
INTRODUCTION Several characteristics associated with increased risk for Parkinson's disease (PD) have been identified, including specific genotypes and various non-motor symptoms. Characterizing non-motor features, such as cognitive abilities, among individuals considered at-risk for PD is essential to improving prediction of future neurodegeneration. METHODS Participants belonging to the following cohorts of the Parkinson Progression Markers Initiative (PPMI) study were included: de novo PD with dopamine transporter binding deficit (n = 423), idiopathic REM sleep behavior disorder (RBD, n = 39), hyposmia (n = 26) and non-PD mutation carrier (NMC; Leucine-rich repeat kinase 2 (LRRK2) G2019S (n = 88) and glucocerebrosidase (GBA) gene (n = 38) mutations)). Inclusion criteria enriched the RBD and hyposmia cohorts, but not the NMC cohort, with individuals with dopamine transporter binding deficit. Baseline neuropsychological performance was compared, and analyses were adjusted for age, sex, education, and depression. RESULTS The RBD cohort performed significantly worse than the hyposmia and NMC cohorts on Symbol Digit Modality Test (mean (SD) 32.4 (9.16) vs. 41.8 (9.98), p = 0.002 and vs. 45.2 (10.9), p<0.001) and Judgment of Line Orientation (11.3 (2.36) vs.12.9 (1.87), p = 0.004 and vs. 12.9 (1.87), p<0.001). The RBD cohort also performed worse than the hyposmia cohort on the Montreal Cognitive Assessment (25.5 (4.13) vs. 27.3 (1.71), p = 0.02). Hyposmics did not differ from PD or NMC cohorts on any cognitive test score. CONCLUSION Among individuals across a spectrum of risk for PD, cognitive function is worse among those with the characteristic most strongly associated with future risk of PD or dementia with Lewy bodies, namely RBD.
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Affiliation(s)
- Lana M. Chahine
- University of Pittsburgh, Pittsburgh, PA, United States of America
| | - Liz Urbe
- The University of Iowa, Iowa City, Iowa, United States of America
| | | | - Dag Aarsland
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, England
| | - Roy Alcalay
- Columbia University Medical Center, Department of Neurology, New York, NY, United States of America
| | - Paolo Barone
- Department of Medicine and Surgery, Center for Neurodegenerative Diseases, University of Salerno, Fisciano, Italy
| | - David Burn
- Institute for Ageing and Health, Newcastle University, Newcastle, United Kingdom
| | - Alberto J. Espay
- Department of Neurology, University of Cincinnati Academic Health Center, Cincinnati, OH, United States of America
| | - Jamie L. Hamilton
- The Michael J. Fox Foundation for Parkinson’s Research, New York, NY, United States of America
| | - Keith A. Hawkins
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States of America
| | - Shirley Lasch
- Institute for Neurodegenerative Disorders, New Haven, CT, United States of America
| | | | - Irene Litvan
- UCSD Movement Disorder Center, Department of Neurosciences, University of California San Diego, San Diego, CA, United States of America
| | - Irene Richard
- Departments of Neurology and Psychiatry, University of Rochester School of Medicine and Dentistry, Rochester, NY, United States of America
| | - Andrew Siderowf
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States of America
| | | | - Tanya Simuni
- Northwestern University Feinberg School of Medicine, Chicago, IL, United States of America
| | - Daniel Weintraub
- Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA, United States of America
- Parkinson’s Disease and Mental Illness Research, Education and Clinical Centers (PADRECC and MIRECC), Philadelphia Veterans Affairs Medical Center, Philadelphia, PA, United States of America
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Robinson JL, Lee EB, Xie SX, Rennert L, Suh E, Bredenberg C, Caswell C, Van Deerlin VM, Yan N, Yousef A, Hurtig HI, Siderowf A, Grossman M, McMillan CT, Miller B, Duda JE, Irwin DJ, Wolk D, Elman L, McCluskey L, Chen-Plotkin A, Weintraub D, Arnold SE, Brettschneider J, Lee VMY, Trojanowski JQ. Neurodegenerative disease concomitant proteinopathies are prevalent, age-related and APOE4-associated. Brain 2018; 141:2181-2193. [PMID: 29878075 PMCID: PMC6022546 DOI: 10.1093/brain/awy146] [Citation(s) in RCA: 393] [Impact Index Per Article: 65.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2017] [Accepted: 04/06/2018] [Indexed: 12/11/2022] Open
Abstract
Lewy bodies commonly occur in Alzheimer's disease, and Alzheimer's disease pathology is frequent in Lewy body diseases, but the burden of co-pathologies across neurodegenerative diseases is unknown. We assessed the extent of tau, amyloid-β, α-synuclein and TDP-43 proteinopathies in 766 autopsied individuals representing a broad spectrum of clinical neurodegenerative disease. We interrogated pathological Alzheimer's disease (n = 247); other tauopathies (n = 95) including Pick's disease, corticobasal disease and progressive supranuclear palsy; the synucleinopathies (n = 164) including multiple system atrophy and Lewy body disease; the TDP-43 proteinopathies (n = 188) including frontotemporal lobar degeneration with TDP-43 inclusions and amyotrophic lateral sclerosis; and a minimal pathology group (n = 72). Each group was divided into subgroups without or with co-pathologies. Age and sex matched logistic regression models compared co-pathology prevalence between groups. Co-pathology prevalence was similar between the minimal pathology group and most neurodegenerative diseases for each proteinopathy: tau was nearly universal (92-100%), amyloid-β common (20-57%); α-synuclein less common (4-16%); and TDP-43 the rarest (0-16%). In several neurodegenerative diseases, co-pathology increased: in Alzheimer's disease, α-synuclein (41-55%) and TDP-43 (33-40%) increased; in progressive supranuclear palsy, α-synuclein increased (22%); in corticobasal disease, TDP-43 increased (24%); and in neocortical Lewy body disease, amyloid-β (80%) and TDP-43 (22%) increased. Total co-pathology prevalence varied across groups (27-68%), and was increased in high Alzheimer's disease, progressive supranuclear palsy, and neocortical Lewy body disease (70-81%). Increased age at death was observed in the minimal pathology group, amyotrophic lateral sclerosis, and multiple system atrophy cases with co-pathologies. In amyotrophic lateral sclerosis and neocortical Lewy body disease, co-pathologies associated with APOE ɛ4. Lewy body disease cases with Alzheimer's disease co-pathology had substantially lower Mini-Mental State Examination scores than pure Lewy body disease. Our data imply that increased age and APOE ɛ4 status are risk factors for co-pathologies independent of neurodegenerative disease; that neurodegenerative disease severity influences co-pathology as evidenced by the prevalence of co-pathology in high Alzheimer's disease and neocortical Lewy body disease, but not intermediate Alzheimer's disease or limbic Lewy body disease; and that tau and α-synuclein strains may also modify co-pathologies since tauopathies and synucleinopathies had differing co-pathologies and burdens. These findings have implications for clinical trials that focus on monotherapies targeting tau, amyloid-β, α-synuclein and TDP-43.
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Affiliation(s)
- John L Robinson
- Penn Alzheimer's Disease Core Center, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Udall Center of Excellence in Parkinson's Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Edward B Lee
- Penn Alzheimer's Disease Core Center, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Udall Center of Excellence in Parkinson's Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Sharon X Xie
- Penn Alzheimer's Disease Core Center, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Udall Center of Excellence in Parkinson's Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Department of Biostatistics and Epidemiology, and Informatics, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Lior Rennert
- Penn Alzheimer's Disease Core Center, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Udall Center of Excellence in Parkinson's Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Department of Biostatistics and Epidemiology, and Informatics, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - EunRan Suh
- Penn Alzheimer's Disease Core Center, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Udall Center of Excellence in Parkinson's Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Colin Bredenberg
- Penn Alzheimer's Disease Core Center, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Udall Center of Excellence in Parkinson's Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Carrie Caswell
- Penn Alzheimer's Disease Core Center, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Udall Center of Excellence in Parkinson's Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Department of Biostatistics and Epidemiology, and Informatics, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Vivianna M Van Deerlin
- Penn Alzheimer's Disease Core Center, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Udall Center of Excellence in Parkinson's Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Ning Yan
- Penn Alzheimer's Disease Core Center, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Udall Center of Excellence in Parkinson's Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- University-town Hospital of Chongqing Medical University, China
| | - Ahmed Yousef
- Penn Alzheimer's Disease Core Center, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Udall Center of Excellence in Parkinson's Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Howard I Hurtig
- Penn Alzheimer's Disease Core Center, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Udall Center of Excellence in Parkinson's Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Department of Neurology, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Andrew Siderowf
- Penn Alzheimer's Disease Core Center, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Udall Center of Excellence in Parkinson's Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Department of Neurology, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Murray Grossman
- Penn Alzheimer's Disease Core Center, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Udall Center of Excellence in Parkinson's Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Department of Neurology, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Frontotemporal Degeneration Center, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Corey T McMillan
- Department of Neurology, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Frontotemporal Degeneration Center, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Bruce Miller
- Memory and Aging Center, Department of Neurology, University of California at San Francisco, San Francisco, CA, USA
| | - John E Duda
- Penn Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Parkinson's Disease Research, Education and Clinical Center, Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
| | - David J Irwin
- Penn Alzheimer's Disease Core Center, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Udall Center of Excellence in Parkinson's Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Department of Neurology, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Frontotemporal Degeneration Center, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - David Wolk
- Penn Alzheimer's Disease Core Center, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Udall Center of Excellence in Parkinson's Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Department of Neurology, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Frontotemporal Degeneration Center, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Memory Center, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Lauren Elman
- Penn Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Department of Neurology, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Leo McCluskey
- Penn Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Department of Neurology, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Alice Chen-Plotkin
- Penn Alzheimer's Disease Core Center, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Udall Center of Excellence in Parkinson's Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Department of Neurology, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Daniel Weintraub
- Penn Udall Center of Excellence in Parkinson's Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Steven E Arnold
- Translational Neurology Head of the Interdisciplinary Brain Center at Massachusetts General Hospital, Harvard Medical School
| | | | - Virginia M-Y Lee
- Penn Alzheimer's Disease Core Center, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Udall Center of Excellence in Parkinson's Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Department of Neurology, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - John Q Trojanowski
- Penn Alzheimer's Disease Core Center, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Udall Center of Excellence in Parkinson's Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Penn Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Department of Neurology, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
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Siderowf A, Aarsland D, Mollenhauer B, Goldman JG, Ravina B. Biomarkers for cognitive impairment in Lewy body disorders: Status and relevance for clinical trials. Mov Disord 2018; 33:528-536. [DOI: 10.1002/mds.27355] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2017] [Revised: 01/13/2018] [Accepted: 01/26/2018] [Indexed: 12/13/2022] Open
Affiliation(s)
- Andrew Siderowf
- Department of Neurology, Perelman School of Medicine; University of Pennsylvania; Philadelphia Philadelphia USA
| | - Dag Aarsland
- Department of Old Age Psychiatry; Kings College; London United Kingdom
- Centre for Age-Related Diseases, Stavanger University Hospital, Stavanger, Norway
| | - Brit Mollenhauer
- Paracelsus-Elena-Klinik, Kassel, Klinikstrasse 16, 34128 Kassel and University Medical Center, Department of Neurology; Göttingen Germany
| | - Jennifer G. Goldman
- Department of Neurological Sciences; Rush University Medical Center; Chicago Illinois
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