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Geng C, Tan L, Chen C. Neuropsychiatric symptoms profile and markers of Alzheimer disease-type pathology in patients with Lewy body dementias. Brain Res 2024; 1833:148881. [PMID: 38519009 DOI: 10.1016/j.brainres.2024.148881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 02/20/2024] [Accepted: 03/19/2024] [Indexed: 03/24/2024]
Abstract
BACKGROUND To determine whether Lewy body dementia (LBD) patients with likely copathology of Alzheimer's disease (AD) exhibit greater neuropsychiatric symptom (NPS) compared to those without likely AD-type copathology. METHODS We enrolled 69 individuals diagnosed with Lewy body dementia (LBD), comprising both dementia with Lewy bodies (DLB) (n = 36) and Parkinson's disease dementia (PDD) (n = 33). These participants had accessible cerebrospinal fluid (CSF) markers related to Alzheimer's disease (AD) and cognitive data. We assessed CSF levels of β-amyloid 42 (Aβ42), phosphorylated tau (p-tau), and total tau (t-tau). Employing autopsy-validated CSF thresholds (t-tau/Aβ42 ratio > 0.3, n = 69), we categorized individuals into LBD with AD pathology (LBD + AD, n = 31) and LBD without apparent AD co-pathology (LBD - AD, n = 38). Moreover, the Hamilton Depression Scale (HAMD24), Hamilton Anxiety Scale (HAMA14), and Neuropsychiatric Inventory Questionnaire (NPI-Q) was used to assess the NPS. Spearman correlations were utilized to explore links between NPS and CSF marker profiles. RESULTS In terms of neuropsychiatric symptoms, LBD + AD patients demonstrated notably elevated levels of depressive symptoms (HAMD24) in comparison to LBD - AD patients (P < 0.001). However, based on PDD and DLB groups, no significant variations were noted in the neuropsychiatric symptoms(P>0.05). Moreover, CSF-derived biomarkers of Aβ42, and t-tau/Aβ42 were also associated with HAMD24 total scores in the LBD + AD subsample (P < 0.05). CONCLUSION There is an association between AD pathological markers and the NPS of LBD. The biologically based classification of LBD may be more advantageous in elucidating clinical heterogeneity than clinically defined syndromes.
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Affiliation(s)
- Chaofan Geng
- Department of Neurology & Innovation Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, Beijing, China
| | - Leilei Tan
- Department of Neurology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, China
| | - Chen Chen
- Department of Neurology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, China.
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Tunold JA, Tan MMX, Toft M, Ross O, van de Berg WDJ, Pihlstrøm L. Lysosomal Polygenic Burden Drives Cognitive Decline in Parkinson's Disease with Low Alzheimer Risk. Mov Disord 2024; 39:596-601. [PMID: 38124396 DOI: 10.1002/mds.29698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 11/22/2023] [Accepted: 12/08/2023] [Indexed: 12/23/2023] Open
Abstract
BACKGROUND Genetics influence cognitive progression in Parkinson's disease, possibly through mechanisms related to Lewy and Alzheimer's disease pathology. Lysosomal polygenic burden has recently been linked to more severe Lewy pathology post mortem. OBJECTIVES To assess the influence of lysosomal polygenic burden on cognitive progression in Parkinson's disease patients with low Alzheimer's disease risk. METHODS Using Cox regression we assessed association between lysosomal polygenic scores and time to Montreal Cognitive Assessment score ≤ 21 in the Parkinson's Progression Markers Initiative cohort (n = 374), with replication in data from the Parkinson's Disease Biomarker Program (n = 777). Patients were stratified by Alzheimer's disease polygenic risk. RESULTS The lysosomal polygenic score was associated with faster progression of cognitive decline in patients with low Alzheimer's disease risk in both datasets (P = 0.0032 and P = 0.0054, respectively). CONCLUSION Our study supports complex interplay between genetics and neuropathology in Parkinson's disease-related cognitive impairment, emphasizing the role of lysosomal polygenic burden. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Jon-Anders Tunold
- Department of Neurology, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Manuela M X Tan
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Mathias Toft
- Department of Neurology, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Owen Ross
- Mayo Clinic, Department of Neuroscience, Jacksonville, Florida, USA
| | - Wilma D J van de Berg
- Department of Anatomy and Neurosciences, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Program Neurodegeneration, Amsterdam, The Netherlands
| | - Lasse Pihlstrøm
- Department of Neurology, Oslo University Hospital, Oslo, Norway
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Fernandes M, Maio S, Eusebi P, Placidi F, Izzi F, Spanetta M, De Masi C, Lupo C, Calvello C, Nuccetelli M, Bernardini S, Mercuri NB, Liguori C. Cerebrospinal-fluid biomarkers for predicting phenoconversion in patients with isolated rapid-eye movement sleep behavior disorder. Sleep 2024; 47:zsad198. [PMID: 37542734 DOI: 10.1093/sleep/zsad198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 05/22/2023] [Indexed: 08/07/2023] Open
Abstract
STUDY OBJECTIVES Patients with isolated rapid-eye-movement sleep behavior disorder (iRBD) have an increased risk of developing neurodegenerative diseases. This study assessed cerebrospinal-fluid (CSF) biomarkers of neurodegeneration and blood-brain barrier (BBB) alteration in patients with iRBD compared to controls and ascertain whether these biomarkers may predict phenoconversion to alpha-synucleinopathies (Parkinson's Disease (PD), Dementia with Lewy bodies (DLB), Multiple System Atrophy (MSA)). METHODS Patients and controls underwent between 2012 and 2016 a neurological assessment, a lumbar puncture for CSF biomarker analysis (β-amyloid42 - Aβ42; total-tau, and phosphorylated tau), and BBB alteration (CSF/serum albumin ratio). All patients with iRBD were followed until 2021 and then classified into patients who converted to alpha-synucleinopathies (iRBD converters, cRBD) or not (iRBD non-converters, ncRBD). RESULTS Thirty-four patients with iRBD (mean age 67.12 ± 8.14) and 33 controls (mean age 64.97 ± 8.91) were included. At follow-up (7.63 ± 3.40 years), eight patients were ncRBD and 33 patients were cRBD: eleven converted to PD, 10 to DLB, and two to MSA. Patients with iRBD showed lower CSF Aβ42 levels and higher CSF/serum albumin ratio than controls. Cox regression analysis showed that the phenoconversion rate increases with higher motor impairment (hazard ratio [HR] = 1.23, p = 0.032). CSF Aβ42 levels predicted phenoconversion to DLB (HR = 0.67, p = 0.038) and BBB alteration predicted phenoconversion to PD (HR = 1.20, p = 0.038). DISCUSSION This study showed that low CSF Aβ42 levels and high BBB alteration may predict the phenoconversion to DLB and PD in patients with iRBD, respectively. These findings highlight the possibility to discriminate phenoconversion in iRBD patients through CSF biomarkers; however, further studies are needed.
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Affiliation(s)
- Mariana Fernandes
- Department of Systems Medicine, University of Rome 'Tor Vergata", Rome, Italy
| | - Silvia Maio
- Department of Systems Medicine, University of Rome 'Tor Vergata", Rome, Italy
- Sleep Medicine Centre, Neurology Unit, University Hospital "Tor Vergata", Rome, Italy
| | - Paolo Eusebi
- Department of Medicine, Neurology Clinic, University Hospital of Perugia, Italy
| | - Fabio Placidi
- Department of Systems Medicine, University of Rome 'Tor Vergata", Rome, Italy
- Sleep Medicine Centre, Neurology Unit, University Hospital "Tor Vergata", Rome, Italy
| | - Francesca Izzi
- Sleep Medicine Centre, Neurology Unit, University Hospital "Tor Vergata", Rome, Italy
| | - Matteo Spanetta
- Department of Systems Medicine, University of Rome 'Tor Vergata", Rome, Italy
| | - Claudia De Masi
- Sleep Medicine Centre, Neurology Unit, University Hospital "Tor Vergata", Rome, Italy
| | - Clementina Lupo
- Department of Systems Medicine, University of Rome 'Tor Vergata", Rome, Italy
| | - Carmen Calvello
- Department of Systems Medicine, University of Rome 'Tor Vergata", Rome, Italy
| | - Marzia Nuccetelli
- Department of Clinical Biochemistry and Molecular Biology, University of Rome "Tor Vergata", Rome, Italy
| | - Sergio Bernardini
- Department of Clinical Biochemistry and Molecular Biology, University of Rome "Tor Vergata", Rome, Italy
| | - Nicola Biagio Mercuri
- Department of Systems Medicine, University of Rome 'Tor Vergata", Rome, Italy
- Sleep Medicine Centre, Neurology Unit, University Hospital "Tor Vergata", Rome, Italy
| | - Claudio Liguori
- Department of Systems Medicine, University of Rome 'Tor Vergata", Rome, Italy
- Sleep Medicine Centre, Neurology Unit, University Hospital "Tor Vergata", Rome, Italy
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Vogel JW, Corriveau-Lecavalier N, Franzmeier N, Pereira JB, Brown JA, Maass A, Botha H, Seeley WW, Bassett DS, Jones DT, Ewers M. Connectome-based modelling of neurodegenerative diseases: towards precision medicine and mechanistic insight. Nat Rev Neurosci 2023; 24:620-639. [PMID: 37620599 DOI: 10.1038/s41583-023-00731-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/26/2023] [Indexed: 08/26/2023]
Abstract
Neurodegenerative diseases are the most common cause of dementia. Although their underlying molecular pathologies have been identified, there is substantial heterogeneity in the patterns of progressive brain alterations across and within these diseases. Recent advances in neuroimaging methods have revealed that pathological proteins accumulate along specific macroscale brain networks, implicating the network architecture of the brain in the system-level pathophysiology of neurodegenerative diseases. However, the extent to which 'network-based neurodegeneration' applies across the wide range of neurodegenerative disorders remains unclear. Here, we discuss the state-of-the-art of neuroimaging-based connectomics for the mapping and prediction of neurodegenerative processes. We review findings supporting brain networks as passive conduits through which pathological proteins spread. As an alternative view, we also discuss complementary work suggesting that network alterations actively modulate the spreading of pathological proteins between connected brain regions. We conclude this Perspective by proposing an integrative framework in which connectome-based models can be advanced along three dimensions of innovation: incorporating parameters that modulate propagation behaviour on the basis of measurable biological features; building patient-tailored models that use individual-level information and allowing model parameters to interact dynamically over time. We discuss promises and pitfalls of these strategies for improving disease insights and moving towards precision medicine.
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Affiliation(s)
- Jacob W Vogel
- Department of Clinical Sciences, SciLifeLab, Lund University, Lund, Sweden.
| | - Nick Corriveau-Lecavalier
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Nicolai Franzmeier
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Acadamy, University of Gothenburg, Mölndal and Gothenburg, Sweden
| | - Joana B Pereira
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden
- Neuro Division, Department of Clinical Neurosciences, Karolinska Institute, Stockholm, Sweden
| | - Jesse A Brown
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
| | - Anne Maass
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Hugo Botha
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - William W Seeley
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
- Department of Pathology, University of California, San Francisco, CA, USA
| | - Dani S Bassett
- Departments of Bioengineering, Electrical and Systems Engineering, Physics and Astronomy, Neurology and Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Santa Fe Institute, Santa Fe, NM, USA
| | - David T Jones
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Michael Ewers
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany.
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Coughlin DG, Irwin DJ. Fluid and Biopsy Based Biomarkers in Parkinson's Disease. Neurotherapeutics 2023; 20:932-954. [PMID: 37138160 PMCID: PMC10457253 DOI: 10.1007/s13311-023-01379-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/11/2023] [Indexed: 05/05/2023] Open
Abstract
Several advances in fluid and tissue-based biomarkers for use in Parkinson's disease (PD) and other synucleinopathies have been made in the last several years. While work continues on species of alpha-synuclein (aSyn) and other proteins which can be measured from spinal fluid and plasma samples, immunohistochemistry and immunofluorescence from peripheral tissue biopsies and alpha-synuclein seeding amplification assays (aSyn-SAA: including real-time quaking induced conversion (RT-QuIC) and protein misfolding cyclic amplification (PMCA)) now offer a crucial advancement in their ability to identify aSyn species in PD patients in a categorical fashion (i.e., of aSyn + vs aSyn -); to augment clinical diagnosis however, aSyn-specific assays that have quantitative relevance to pathological burden remain an unmet need. Alzheimer's disease (AD) co-pathology is commonly found postmortem in PD, especially in those who develop dementia, and dementia with Lewy bodies (DLB). Biofluid biomarkers for tau and amyloid beta species can detect AD co-pathology in PD and DLB, which does have relevance for prognosis, but further work is needed to understand the interplay of aSyn tau, amyloid beta, and other pathological changes to generate comprehensive biomarker profiles for patients in a manner translatable to clinical trial design and individualized therapies.
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Affiliation(s)
- David G Coughlin
- Department of Neurosciences, University of California San Diego, 9444 Medical Center Drive, ECOB 03-021, MCC 0886, La Jolla, CA, 92037, USA.
| | - David J Irwin
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, 19104, USA
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Gaetani L, Chiasserini D, Paolini Paoletti F, Bellomo G, Parnetti L. Required improvements for cerebrospinal fluid-based biomarker tests of Alzheimer's disease. Expert Rev Mol Diagn 2023; 23:1195-1207. [PMID: 37902844 DOI: 10.1080/14737159.2023.2276918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 10/25/2023] [Indexed: 11/01/2023]
Abstract
INTRODUCTION Cerebrospinal fluid (CSF) biomarkers represent a well-established tool for diagnosing Alzheimer's disease (AD), independently from the clinical stage, by reflecting the presence of brain amyloidosis (A+) and tauopathy (T+). In front of this important achievement, so far, (i) CSF AD biomarkers have not yet been adopted for routine clinical use in all Centers dedicated to AD, mainly due to inter-lab variation and lack of internationally accepted cutoff values; (ii) we do need to add other biomarkers more suitable to correlate with the clinical stage and disease monitoring; (iii) we also need to detect the co-presence of other 'non-AD' pathologies. AREAS COVERED Efforts to establish standardized cutoff values based on large-scale multi-center studies are discussed. The influence of aging and comorbidities on CSF biomarker levels is also analyzed, and possible solutions are presented, i.e. complementing the A/T/(N) system with markers of axonal damage and synaptic derangement. EXPERT OPINION The first, mandatory need is to reach common cutoff values and defined (automated) methodologies for CSF AD biomarkers. To properly select subjects deserving CSF analysis, blood tests might represent the first-line approach. In those subjects undergoing CSF analysis, multiple biomarkers, able to give a comprehensive and personalized pathophysiological/prognostic information, should be included.
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Affiliation(s)
- Lorenzo Gaetani
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Davide Chiasserini
- Section of Physiology and Biochemistry, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | | | - Giovanni Bellomo
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Lucilla Parnetti
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
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Noguchi-Shinohara M, Ono K. The Mechanisms of the Roles of α-Synuclein, Amyloid-β, and Tau Protein in the Lewy Body Diseases: Pathogenesis, Early Detection, and Therapeutics. Int J Mol Sci 2023; 24:10215. [PMID: 37373401 DOI: 10.3390/ijms241210215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 06/06/2023] [Accepted: 06/15/2023] [Indexed: 06/29/2023] Open
Abstract
Lewy body diseases (LBD) are pathologically defined as the accumulation of Lewy bodies composed of an aggregation of α-synuclein (αSyn). In LBD, not only the sole aggregation of αSyn but also the co-aggregation of amyloidogenic proteins, such as amyloid-β (Aβ) and tau, has been reported. In this review, the pathophysiology of co-aggregation of αSyn, Aβ, and tau protein and the advancement in imaging and fluid biomarkers that can detect αSyn and co-occurring Aβ and/or tau pathologies are discussed. Additionally, the αSyn-targeted disease-modifying therapies in clinical trials are summarized.
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Affiliation(s)
- Moeko Noguchi-Shinohara
- Department of Neurology, Kanazawa University Graduate School of Medical Sciences, Kanazawa 920-8640, Japan
| | - Kenjiro Ono
- Department of Neurology, Kanazawa University Graduate School of Medical Sciences, Kanazawa 920-8640, Japan
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8
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Erhardt E, Horner A, Shaff N, Wertz C, Nitschke S, Vakhtin A, Mayer A, Adair J, Knoefel J, Rosenberg G, Poston K, Suarez Cedeno G, Deligtisch A, Pirio Richardson S, Ryman S. Longitudinal hippocampal subfields, CSF biomarkers, and cognition in patients with Parkinson disease. Clin Park Relat Disord 2023; 9:100199. [PMID: 38107672 PMCID: PMC10724830 DOI: 10.1016/j.prdoa.2023.100199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 04/21/2023] [Accepted: 04/26/2023] [Indexed: 12/19/2023] Open
Abstract
Objective Hippocampal atrophy is an indicator of emerging dementia in PD, though it is unclear whether cerebral spinal fluid (CSF) Abeta-42, t-tau, or alpha-syn predict hippocampal subfield atrophy in a de novo cohort of PD patients. To examine whether levels of CSF alpha-synuclein (alpha-syn), beta-amyloid 1-42 (Abeta-42), or total-tau (t-tau) are associated with hippocampal subfield volumes over time. Methods We identified a subset of Parkinson's Progression Markers Initiative (PPMI) de novo PD patients with longitudinal T1-weighted imaging (baseline plus at least two additional visits across 12, 24, and 48 months) and CSF biomarkers available at baseline. We performed cross-sectional, regression, and linear mixed model analyses to evaluate the baseline and longitudinal CSF biomarkers, hippocampal subfields, and cognition. A false discovery rate (FDR) was used to correct for multiple comparisons. Results 88 PD-CN and 21 PD-MCI had high quality longitudinal data. PD-MCI patients exhibited reduced bilateral CA1 volumes relative to PD-CN, though there were no significant differences in CSF biomarkers between these groups. Relationships between CSF biomarkers and hippocampal subfields changed over time, with a general pattern that lower CSF Abeta-42, higher t-tau and higher alpha-syn were associated with smaller hippocampal subfields, primarily in the right hemisphere. Conclusion We replicated prior reports that demonstrated reduced CA1 volumes in PD-MCI in a de novo PD cohort. CSF biomarkers were associated with individual subfields, with evidence that the increased CSF t-tau was associated with smaller subiculum volumes at baseline and over time, though there was no clear indication that the subfields associated with cognition (CA1 and HATA) were associated with CSF biomarkers.
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Affiliation(s)
- Erik Erhardt
- University of New Mexico, Department of Mathematics and Statistics, USA
| | - Anna Horner
- Mind Research Network, Department of Translational Neuroscience, USA
| | - Nicholas Shaff
- Mind Research Network, Department of Translational Neuroscience, USA
| | - Chris Wertz
- Mind Research Network, Department of Translational Neuroscience, USA
| | | | - Andrei Vakhtin
- Mind Research Network, Department of Translational Neuroscience, USA
| | - Andrew Mayer
- Mind Research Network, Department of Translational Neuroscience, USA
| | - John Adair
- University of New Mexico Health Science Center, Department of Neurology, USA
| | - Janice Knoefel
- University of New Mexico Health Science Center, Department of Neurology, USA
| | - Gary Rosenberg
- University of New Mexico Health Science Center, Department of Neurology, USA
| | - Kathleen Poston
- Stanford University, Department of Neurology and Neurological Sciences, USA
| | | | - Amanda Deligtisch
- University of New Mexico Health Science Center, Department of Neurology, USA
| | | | - Sephira Ryman
- Mind Research Network, Department of Translational Neuroscience, USA
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Cousins KAQ, Irwin DJ, Chen-Plotkin A, Shaw LM, Arezoumandan S, Lee EB, Wolk DA, Weintraub D, Spindler M, Deik A, Grossman M, Tropea TF. Plasma GFAP associates with secondary Alzheimer's pathology in Lewy body disease. Ann Clin Transl Neurol 2023; 10:802-813. [PMID: 37000892 DOI: 10.1002/acn3.51768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 03/13/2023] [Accepted: 03/14/2023] [Indexed: 04/03/2023] Open
Abstract
OBJECTIVE Within Lewy body spectrum disorders (LBSD) with α-synuclein pathology (αSyn), concomitant Alzheimer's disease (AD) pathology is common and is predictive of clinical outcomes, including cognitive impairment and decline. Plasma phosphorylated tau 181 (p-tau181 ) is sensitive to AD neuropathologic change (ADNC) in clinical AD, and plasma glial fibrillary acidic protein (GFAP) is associated with the presence of β-amyloid plaques. While these plasma biomarkers are well tested in clinical and pathological AD, their diagnostic and prognostic performance for concomitant AD in LBSD is unknown. METHODS In autopsy-confirmed αSyn-positive LBSD, we tested how plasma p-tau181 and GFAP differed across αSyn with concomitant ADNC (αSyn+AD; n = 19) and αSyn without AD (αSyn; n = 30). Severity of burden was scored on a semiquantitative scale for several pathologies (e.g., β-amyloid and tau), and scores were averaged across sampled brainstem, limbic, and neocortical regions. RESULTS Linear models showed that plasma GFAP was significantly higher in αSyn+AD compared to αSyn (β = 0.31, 95% CI = 0.065-0.56, and P = 0.015), after covarying for age at plasma, plasma-to-death interval, and sex; plasma p-tau181 was not (P = 0.37). Next, linear models tested associations of AD pathological features with both plasma analytes, covarying for plasma-to-death, age at plasma, and sex. GFAP was significantly associated with brain β-amyloid (β = 15, 95% CI = 6.1-25, and P = 0.0018) and tau burden (β = 12, 95% CI = 2.5-22, and P = 0.015); plasma p-tau181 was not associated with either (both P > 0.34). INTERPRETATION Findings indicate that plasma GFAP may be sensitive to concomitant AD pathology in LBSD, especially accumulation of β-amyloid plaques.
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Affiliation(s)
- Katheryn A Q Cousins
- Department of Neurology, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - David J Irwin
- Department of Neurology, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Alice Chen-Plotkin
- Department of Neurology, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Leslie M Shaw
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Sanaz Arezoumandan
- Department of Neurology, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Edward B Lee
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - David A Wolk
- Department of Neurology, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Daniel Weintraub
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Meredith Spindler
- Department of Neurology, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Andres Deik
- Department of Neurology, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Murray Grossman
- Department of Neurology, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Thomas F Tropea
- Department of Neurology, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
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10
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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] [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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11
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Sandor C, Millin S, Dahl A, Schalkamp AK, Lawton M, Hubbard L, Rahman N, Williams N, Ben-Shlomo Y, Grosset DG, Hu MT, Marchini J, Webber C. Universal clinical Parkinson's disease axes identify a major influence of neuroinflammation. Genome Med 2022; 14:129. [PMID: 36384636 PMCID: PMC9670420 DOI: 10.1186/s13073-022-01132-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 10/21/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND There is large individual variation in both clinical presentation and progression between Parkinson's disease patients. Generation of deeply and longitudinally phenotyped patient cohorts has enormous potential to identify disease subtypes for prognosis and therapeutic targeting. METHODS Replicating across three large Parkinson's cohorts (Oxford Discovery cohort (n = 842)/Tracking UK Parkinson's study (n = 1807) and Parkinson's Progression Markers Initiative (n = 472)) with clinical observational measures collected longitudinally over 5-10 years, we developed a Bayesian multiple phenotypes mixed model incorporating genetic relationships between individuals able to explain many diverse clinical measurements as a smaller number of continuous underlying factors ("phenotypic axes"). RESULTS When applied to disease severity at diagnosis, the most influential of three phenotypic axes "Axis 1" was characterised by severe non-tremor motor phenotype, anxiety and depression at diagnosis, accompanied by faster progression in cognitive function measures. Axis 1 was associated with increased genetic risk of Alzheimer's disease and reduced CSF Aβ1-42 levels. As observed previously for Alzheimer's disease genetic risk, and in contrast to Parkinson's disease genetic risk, the loci influencing Axis 1 were associated with microglia-expressed genes implicating neuroinflammation. When applied to measures of disease progression for each individual, integration of Alzheimer's disease genetic loci haplotypes improved the accuracy of progression modelling, while integrating Parkinson's disease genetics did not. CONCLUSIONS We identify universal axes of Parkinson's disease phenotypic variation which reveal that Parkinson's patients with high concomitant genetic risk for Alzheimer's disease are more likely to present with severe motor and non-motor features at baseline and progress more rapidly to early dementia.
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Affiliation(s)
- Cynthia Sandor
- UK Dementia Research Institute, Cardiff University, Cardiff, CF24 4HQ, UK.
| | - Stephanie Millin
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, OX1 3PT, UK
| | - Andrew Dahl
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
| | | | - Michael Lawton
- School of Social and Community Medicine, University of Bristol, Bristol, BS8 1TH, UK
| | - Leon Hubbard
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, CF24 4HQ, UK
| | - Nabila Rahman
- UK Dementia Research Institute, Cardiff University, Cardiff, CF24 4HQ, UK
| | - Nigel Williams
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, CF24 4HQ, UK
| | - Yoav Ben-Shlomo
- School of Social and Community Medicine, University of Bristol, Bristol, BS8 1TH, UK
| | - Donald G Grosset
- Department of Neurology, Institute of Neurological Sciences, Queen Elizabeth University Hospital, G51 4LB, Glasgow, UK
| | - Michele T Hu
- Department of Physiology, Anatomy and Genetics, Le Gros Clark Building, Oxford Parkinson's Disease Centre, University of Oxford, Oxford, OX1 3PT, UK
- Nuffield Department of Clinical Neurosciences, Division of Clinical Neurology, University of Oxford, Oxford, OX3 7LF, UK
| | - Jonathan Marchini
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
- Department of Statistics, University of Oxford, Oxford, OX1, UK
- Regeneron Genetics Center, Tarrytown, NY, USA
| | - Caleb Webber
- UK Dementia Research Institute, Cardiff University, Cardiff, CF24 4HQ, UK.
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, OX1 3PT, UK.
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12
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Cousins KAQ, Arezoumandan S, Shellikeri S, Ohm D, Shaw LM, Grossman M, Wolk D, McMillan CT, Chen-Plotkin A, Lee E, Trojanowski JQ, Zetterberg H, Blennow K, Irwin DJ. CSF Biomarkers of Alzheimer Disease in Patients With Concomitant α-Synuclein Pathology. Neurology 2022; 99:e2303-e2312. [PMID: 36041863 PMCID: PMC9694837 DOI: 10.1212/wnl.0000000000201202] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 07/19/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES CSF biomarkers β-amyloid 1-42 (Aβ42), phosphorylated tau 181 (p-tau181), total tau (t-tau), and neurogranin (Ng) can diagnose Alzheimer disease (AD) in life. However, it is unknown whether CSF concentrations, and thus their accuracies, are affected by concomitant pathologies common in AD, such as α-synuclein (αSyn). Our primary goal was to test whether biomarkers in patients with AD are altered by concomitant αSyn. We compared CSF Aβ42, p-tau181, t-tau, and Ng levels across autopsy-confirmed AD and concomitant AD and αSyn (AD + αSyn). Antemortem CSF levels were related to postmortem accumulations of αSyn. Finally, we tested how concommitant AD + αSyn affected the diagnostic accuracy of 2 CSF-based strategies: the amyloid/tau/neurodegeneration (ATN) framework and the t-tau/Aβ42 ratio. METHODS Inclusion criteria were neuropathologic diagnoses of AD, mixed AD + αSyn, and αSyn. A convenience sample of nonimpaired controls was selected with available CSF and a Mini-Mental State Examination (MMSE) ≥ 27. αSyn without AD and controls were included as reference groups. Analyses of covariance (ANCOVAs) tested planned comparisons were CSF Aβ42, p-tau181, t-tau, and Ng differences across AD and AD + αSyn. Linear models tested how biomarkers were altered by αSyn accumulation in AD, accounting for pathologic β-amyloid and tau. Receiver operating characteristic and area under the curve (AUC), including 95% CI, evaluated diagnostic accuracy. RESULTS Participants were 61 patients with AD, 39 patients with mixed AD + αSyn, 20 patients with αSyn, and 61 controls. AD had similar median age (73 [interquartile range {IQR} = 12] years), MMSE (23 [IQR = 9]), and sex distribution (male = 49%) compared with AD + αSyn age (70 [IQR = 13] years; p = 0.3), MMSE (25 [IQR = 9.5]; p = 0.19), and sex distribution (male = 69%; p = 0.077). ANCOVAs showed that AD + αSyn had lower p-tau181 (F(1,94) = 17, p < 2.6e-16), t-tau (F(1,93) = 11, p = 0.0004), and Ng levels (F(1,50) = 12, p = 0.0004) than AD; there was no difference in Aβ42 (p = 0.44). Models showed increasing αSyn related to lower p-tau181 (β = -0.26, SE = 0.092, p = 0.0065), t-tau (β = -0.19, SE = 0.092, p = 0.041), and Ng levels (β = -0.2, SE = 0.066, p = 0.0046); αSyn was not a significant factor for Aβ42 (p = 1). T-tau/Aβ42 had the highest accuracy when detecting AD, including mixed AD + αSyn cases (AUC = 0.95; CI 0.92-0.98). DISCUSSION Findings demonstrate that concomitant αSyn pathology in AD is associated with lower CSF p-tau181, t-tau, and Ng levels and can affect diagnostic accuracy in patients with AD.
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Affiliation(s)
- Katheryn Alexandra Quilico Cousins
- From the Departments of Neurology (K.A.Q.C., S.A., S.S., D.O., M.G., D.W., C.T.M., A.C.-P., D.J.I.), Pathology and Laboratory Medicine (L.M.S., E.L., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Psychiatry and Neurochemistry (H.Z., K.B.), Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden; and Department of Neurodegenerative Disease (H.Z.), Institute of Neurology, University College London, UK.
| | - Sanaz Arezoumandan
- From the Departments of Neurology (K.A.Q.C., S.A., S.S., D.O., M.G., D.W., C.T.M., A.C.-P., D.J.I.), Pathology and Laboratory Medicine (L.M.S., E.L., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Psychiatry and Neurochemistry (H.Z., K.B.), Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden; and Department of Neurodegenerative Disease (H.Z.), Institute of Neurology, University College London, UK
| | - Sanjana Shellikeri
- From the Departments of Neurology (K.A.Q.C., S.A., S.S., D.O., M.G., D.W., C.T.M., A.C.-P., D.J.I.), Pathology and Laboratory Medicine (L.M.S., E.L., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Psychiatry and Neurochemistry (H.Z., K.B.), Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden; and Department of Neurodegenerative Disease (H.Z.), Institute of Neurology, University College London, UK
| | - Daniel Ohm
- From the Departments of Neurology (K.A.Q.C., S.A., S.S., D.O., M.G., D.W., C.T.M., A.C.-P., D.J.I.), Pathology and Laboratory Medicine (L.M.S., E.L., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Psychiatry and Neurochemistry (H.Z., K.B.), Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden; and Department of Neurodegenerative Disease (H.Z.), Institute of Neurology, University College London, UK
| | - Leslie M Shaw
- From the Departments of Neurology (K.A.Q.C., S.A., S.S., D.O., M.G., D.W., C.T.M., A.C.-P., D.J.I.), Pathology and Laboratory Medicine (L.M.S., E.L., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Psychiatry and Neurochemistry (H.Z., K.B.), Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden; and Department of Neurodegenerative Disease (H.Z.), Institute of Neurology, University College London, UK
| | - Murray Grossman
- From the Departments of Neurology (K.A.Q.C., S.A., S.S., D.O., M.G., D.W., C.T.M., A.C.-P., D.J.I.), Pathology and Laboratory Medicine (L.M.S., E.L., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Psychiatry and Neurochemistry (H.Z., K.B.), Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden; and Department of Neurodegenerative Disease (H.Z.), Institute of Neurology, University College London, UK
| | - David Wolk
- From the Departments of Neurology (K.A.Q.C., S.A., S.S., D.O., M.G., D.W., C.T.M., A.C.-P., D.J.I.), Pathology and Laboratory Medicine (L.M.S., E.L., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Psychiatry and Neurochemistry (H.Z., K.B.), Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden; and Department of Neurodegenerative Disease (H.Z.), Institute of Neurology, University College London, UK
| | - Corey T McMillan
- From the Departments of Neurology (K.A.Q.C., S.A., S.S., D.O., M.G., D.W., C.T.M., A.C.-P., D.J.I.), Pathology and Laboratory Medicine (L.M.S., E.L., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Psychiatry and Neurochemistry (H.Z., K.B.), Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden; and Department of Neurodegenerative Disease (H.Z.), Institute of Neurology, University College London, UK
| | - Alice Chen-Plotkin
- From the Departments of Neurology (K.A.Q.C., S.A., S.S., D.O., M.G., D.W., C.T.M., A.C.-P., D.J.I.), Pathology and Laboratory Medicine (L.M.S., E.L., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Psychiatry and Neurochemistry (H.Z., K.B.), Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden; and Department of Neurodegenerative Disease (H.Z.), Institute of Neurology, University College London, UK
| | - Edward Lee
- From the Departments of Neurology (K.A.Q.C., S.A., S.S., D.O., M.G., D.W., C.T.M., A.C.-P., D.J.I.), Pathology and Laboratory Medicine (L.M.S., E.L., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Psychiatry and Neurochemistry (H.Z., K.B.), Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden; and Department of Neurodegenerative Disease (H.Z.), Institute of Neurology, University College London, UK
| | - John Q Trojanowski
- From the Departments of Neurology (K.A.Q.C., S.A., S.S., D.O., M.G., D.W., C.T.M., A.C.-P., D.J.I.), Pathology and Laboratory Medicine (L.M.S., E.L., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Psychiatry and Neurochemistry (H.Z., K.B.), Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden; and Department of Neurodegenerative Disease (H.Z.), Institute of Neurology, University College London, UK
| | - Henrik Zetterberg
- From the Departments of Neurology (K.A.Q.C., S.A., S.S., D.O., M.G., D.W., C.T.M., A.C.-P., D.J.I.), Pathology and Laboratory Medicine (L.M.S., E.L., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Psychiatry and Neurochemistry (H.Z., K.B.), Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden; and Department of Neurodegenerative Disease (H.Z.), Institute of Neurology, University College London, UK
| | - Kaj Blennow
- From the Departments of Neurology (K.A.Q.C., S.A., S.S., D.O., M.G., D.W., C.T.M., A.C.-P., D.J.I.), Pathology and Laboratory Medicine (L.M.S., E.L., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Psychiatry and Neurochemistry (H.Z., K.B.), Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden; and Department of Neurodegenerative Disease (H.Z.), Institute of Neurology, University College London, UK
| | - David John Irwin
- From the Departments of Neurology (K.A.Q.C., S.A., S.S., D.O., M.G., D.W., C.T.M., A.C.-P., D.J.I.), Pathology and Laboratory Medicine (L.M.S., E.L., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Psychiatry and Neurochemistry (H.Z., K.B.), Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden; and Department of Neurodegenerative Disease (H.Z.), Institute of Neurology, University College London, UK
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13
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Shellikeri S, Cho S, Cousins KAQ, Liberman M, Howard E, Balganorth Y, Weintraub D, Spindler M, Deik A, Lee EB, Trojanowski JQ, Irwin D, Wolk D, Grossman M, Nevler N. Natural speech markers of Alzheimer's disease co-pathology in Lewy body dementias. Parkinsonism Relat Disord 2022; 102:94-100. [PMID: 35985146 PMCID: PMC9680016 DOI: 10.1016/j.parkreldis.2022.07.023] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 07/07/2022] [Accepted: 07/29/2022] [Indexed: 11/18/2022]
Abstract
INTRODUCTION An estimated 50% of patients with Lewy body dementias (LBD), including Parkinson's disease dementia (PDD) and Dementia with Lewy bodies (DLB), have co-occurring Alzheimer's disease (AD) that is associated with worse prognosis. This study tests an automated analysis of natural speech as an inexpensive, non-invasive screening tool for AD co-pathology in biologically-confirmed cohorts of LBD patients with AD co-pathology (SYN + AD) and without (SYN-AD). METHODS We analyzed lexical-semantic and acoustic features of picture descriptions using automated methods in 22 SYN + AD and 38 SYN-AD patients stratified using AD CSF biomarkers or autopsy diagnosis. Speech markers of AD co-pathology were identified using best subset regression, and their diagnostic discrimination was tested using receiver operating characteristic. ANCOVAs compared measures between groups covarying for demographic differences and cognitive disease severity. We tested relations with CSF tau levels, and compared speech measures between PDD and DLB clinical disorders in the same cohort. RESULTS Age of acquisition of nouns (p = 0.034, |d| = 0.77) and lexical density (p = 0.0064, |d| = 0.72) were reduced in SYN + AD, and together showed excellent discrimination for SYN + AD vs. SYN-AD (95% sensitivity, 66% specificity; AUC = 0.82). Lower lexical density was related to higher CSF t-Tau levels (R = -0.41, p = 0.0021). Clinically-diagnosed PDD vs. DLB did not differ on any speech features. CONCLUSION AD co-pathology may result in a deviant natural speech profile in LBD characterized by specific lexical-semantic impairments, not detectable by clinical disorder diagnosis. Our study demonstrates the potential of automated digital speech analytics as a screening tool for underlying AD co-pathology in LBD.
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Affiliation(s)
- Sanjana Shellikeri
- Penn Frontotemporal Degeneration Center and Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA.
| | - Sunghye Cho
- Linguistic Data Consortium, University of Pennsylvania, Philadelphia, PA, USA
| | - Katheryn A Q Cousins
- Penn Frontotemporal Degeneration Center and Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Mark Liberman
- Linguistic Data Consortium, University of Pennsylvania, Philadelphia, PA, USA; Department of Linguistics, University of Pennsylvania, Philadelphia, PA, USA
| | - Erica Howard
- Department of Psychology, The Ohio State University, Columbus, OH, USA
| | - Yvonne Balganorth
- Penn Frontotemporal Degeneration Center and Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Daniel Weintraub
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Meredith Spindler
- Parkinson's Disease and Movement Disorders Center, and Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Andres Deik
- Parkinson's Disease and Movement Disorders Center, and Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Edward B Lee
- Center for Neurodegenerative Disease Research, and Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - John Q Trojanowski
- Center for Neurodegenerative Disease Research, and Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - David Irwin
- Penn Frontotemporal Degeneration Center and Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - David Wolk
- Penn Frontotemporal Degeneration Center and Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Murray Grossman
- Penn Frontotemporal Degeneration Center and Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Naomi Nevler
- Penn Frontotemporal Degeneration Center and Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA.
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14
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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] [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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15
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Jellinger KA. Are there morphological differences between Parkinson's disease-dementia and dementia with Lewy bodies? Parkinsonism Relat Disord 2022; 100:24-32. [PMID: 35691178 DOI: 10.1016/j.parkreldis.2022.05.024] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 04/21/2022] [Accepted: 05/30/2022] [Indexed: 12/17/2022]
Abstract
Parkinson's disease dementia (PDD) and dementia with Lewy bodies (DLB) are two major neurocognitive disorders in the spectrum of Lewy body diseases that overlap in many clinical and neuropathological features, although they show several differences. Clinically distinguished mainly based on the duration of parkinsonism prior to development of dementia, their morphology is characterized by a variable combination of Lewy body (LB) and Alzheimer's disease (AD) pathologies, the latter usually being more frequent and severe in DLB. OBJECTIVE The aims of the study were to investigate essential neuropathological differences between PDD and DLB in a larger cohort of autopsy cases. METHODS 110 PDD autopsy cases were compared with 78 DLB cases. The major demographic, clinical (duration of illness, final MMSE) and neuropathological data were assessed retrospectively. Neuropathological studies used standardized methods and immunohistochemistry for phospho-tau, β-amyloid (Aß) and α-synuclein, with semiquantitative assessment of the major histological lesions. RESULTS PDD patients were significantly older at death than DLB ones (mean 83.9 vs. 79.8 years), with a significantly longer disease duration (mean 9.2 vs. 6.7 years). Braak LB scores and particularly neuritic Braak stages were significantly higher in the DLB group (mean 5.1and 5.1 vs. 4.2 and 4.4, respectively), as were Thal Aβ phases (mean 4.1 vs. 3.0). Diffuse striatal Aβ plaques were considerable in 55% and moderate in 45% of DLB cases, but were extremely rare in PDD. The most significant differences concerned the frequency and degree of cerebral amyloid angiopathy (CAA), being significantly higher in DLB (98.7 vs. 50%, and mean degree of 2.9 vs. 0.72, respectively). Worse prognosis in DLB than in PDD was linked to both increased Braak neuritic stages and more severe CAA. INTERPRETATION These and other recent studies imply the association of CAA, more severe concomitant AD pathology, and striatal Aβ load with cognitive decline and more rapid disease process that distinguishes DLB from PDD, while the influence of other cerebrovascular diseases or co-pathologies in both disorders was not specifically examined. The importance of both CAA and tau pathology in DLB and much less in PDD supports the concept of a pathogenetic continuum from Parkinson's disease (PD) - > PDD - > DLB - > DLB + AD and subtypes of AD with LB pathology within the spectrum of age-related proteinopathies.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Vienna, Austria, Alberichgasse 5/13, A-1150, Vienna, Austria.
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16
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Blömeke L, Pils M, Kraemer-Schulien V, Dybala A, Schaffrath A, Kulawik A, Rehn F, Cousin A, Nischwitz V, Willbold J, Zack R, Tropea TF, Bujnicki T, Tamgüney G, Weintraub D, Irwin D, Grossman M, Wolk DA, Trojanowski JQ, Bannach O, Chen-Plotkin A, Willbold D. Quantitative detection of α-Synuclein and Tau oligomers and other aggregates by digital single particle counting. NPJ Parkinsons Dis 2022; 8:68. [PMID: 35655068 PMCID: PMC9163356 DOI: 10.1038/s41531-022-00330-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2021] [Accepted: 05/10/2022] [Indexed: 12/13/2022] Open
Abstract
The pathological hallmark of neurodegenerative diseases is the formation of toxic oligomers by proteins such as alpha-synuclein (aSyn) or microtubule-associated protein tau (Tau). Consequently, such oligomers are promising biomarker candidates for diagnostics as well as drug development. However, measuring oligomers and other aggregates in human biofluids is still challenging as extreme sensitivity and specificity are required. We previously developed surface-based fluorescence intensity distribution analysis (sFIDA) featuring single-particle sensitivity and absolute specificity for aggregates. In this work, we measured aSyn and Tau aggregate concentrations of 237 cerebrospinal fluid (CSF) samples from five cohorts: Parkinson’s disease (PD), dementia with Lewy bodies (DLB), Alzheimer’s disease (AD), progressive supranuclear palsy (PSP), and a neurologically-normal control group. aSyn aggregate concentration discriminates PD and DLB patients from normal controls (sensitivity 73%, specificity 65%, area under the receiver operating curve (AUC) 0.68). Tau aggregates were significantly elevated in PSP patients compared to all other groups (sensitivity 87%, specificity 70%, AUC 0.76). Further, we found a tight correlation between aSyn and Tau aggregate titers among all patient cohorts (Pearson coefficient of correlation r = 0.81). Our results demonstrate that aSyn and Tau aggregate concentrations measured by sFIDA differentiate neurodegenerative disease diagnostic groups. Moreover, sFIDA-based Tau aggregate measurements might be particularly useful in distinguishing PSP from other parkinsonisms. Finally, our findings suggest that sFIDA can improve pre-clinical and clinical studies by identifying those individuals that will most likely respond to compounds designed to eliminate specific oligomers or to prevent their formation.
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Affiliation(s)
- Lara Blömeke
- Institute of Biological Information Processing (Structural Biochemistry: IBI-7), Forschungszentrum Jülich, 52428, Jülich, Germany.,attyloid GmbH, 40225, Düsseldorf, Germany
| | - Marlene Pils
- attyloid GmbH, 40225, Düsseldorf, Germany.,Institut für Physikalische Biologie, Heinrich-Heine-Universität Düsseldorf, 40225, Düsseldorf, Germany
| | - Victoria Kraemer-Schulien
- Institute of Biological Information Processing (Structural Biochemistry: IBI-7), Forschungszentrum Jülich, 52428, Jülich, Germany
| | - Alexandra Dybala
- attyloid GmbH, 40225, Düsseldorf, Germany.,Institut für Physikalische Biologie, Heinrich-Heine-Universität Düsseldorf, 40225, Düsseldorf, Germany
| | - Anja Schaffrath
- Institute of Biological Information Processing (Structural Biochemistry: IBI-7), Forschungszentrum Jülich, 52428, Jülich, Germany
| | - Andreas Kulawik
- Institute of Biological Information Processing (Structural Biochemistry: IBI-7), Forschungszentrum Jülich, 52428, Jülich, Germany.,attyloid GmbH, 40225, Düsseldorf, Germany.,Institut für Physikalische Biologie, Heinrich-Heine-Universität Düsseldorf, 40225, Düsseldorf, Germany
| | - Fabian Rehn
- Institute of Biological Information Processing (Structural Biochemistry: IBI-7), Forschungszentrum Jülich, 52428, Jülich, Germany
| | - Anneliese Cousin
- Institute of Biological Information Processing (Structural Biochemistry: IBI-7), Forschungszentrum Jülich, 52428, Jülich, Germany
| | - Volker Nischwitz
- Central Institute for Engineering, Electronics and Analytics, Analytics (ZEA-3), Forschungszentrum Jülich, 52428, Jülich, Germany
| | - Johannes Willbold
- Institute of Biological Information Processing (Structural Biochemistry: IBI-7), Forschungszentrum Jülich, 52428, Jülich, Germany
| | - Rebecca Zack
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Thomas F Tropea
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Tuyen Bujnicki
- Institute of Biological Information Processing (Structural Biochemistry: IBI-7), Forschungszentrum Jülich, 52428, Jülich, Germany
| | - Gültekin Tamgüney
- Institute of Biological Information Processing (Structural Biochemistry: IBI-7), Forschungszentrum Jülich, 52428, Jülich, Germany.,Institut für Physikalische Biologie, Heinrich-Heine-Universität Düsseldorf, 40225, Düsseldorf, Germany
| | - Daniel Weintraub
- Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Parkinson's Disease and Mental Illness Research, Education, and Clinical Centers, Philadelphia Veterans Affairs Medical Center, Philadelphia, PA, USA
| | - David Irwin
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Murray Grossman
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - David A Wolk
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - John Q Trojanowski
- Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Oliver Bannach
- Institute of Biological Information Processing (Structural Biochemistry: IBI-7), Forschungszentrum Jülich, 52428, Jülich, Germany.,attyloid GmbH, 40225, Düsseldorf, Germany.,Institut für Physikalische Biologie, Heinrich-Heine-Universität Düsseldorf, 40225, Düsseldorf, Germany
| | - Alice Chen-Plotkin
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Dieter Willbold
- Institute of Biological Information Processing (Structural Biochemistry: IBI-7), Forschungszentrum Jülich, 52428, Jülich, Germany. .,Institut für Physikalische Biologie, Heinrich-Heine-Universität Düsseldorf, 40225, Düsseldorf, Germany.
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17
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Effects of Alzheimer's genetic risk scores and CSF biomarkers in de novo Parkinson's Disease. NPJ Parkinsons Dis 2022; 8:57. [PMID: 35545633 PMCID: PMC9095668 DOI: 10.1038/s41531-022-00317-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 04/08/2022] [Indexed: 11/08/2022] Open
Abstract
Coexisting Alzheimer's disease (AD) pathology is common in Parkinson's disease (PD). However, the implications of genetic risk scores (GRS) for AD have not been elucidated in PD. In 413 de novo PD and 195 healthy controls from the Parkinson's Progression Marker Initiative database, the effects of GRS for AD (GRS-AD) and PD (GRS-PD) on the risk of PD and longitudinal CSF biomarkers and clinical outcomes were explored. Higher GRS-PD and lower baseline CSF α-synuclein were associated with an increased risk of PD. In the PD group, GRS-AD was correlated positively with CSF p-tau/Aβ and negatively with CSF α-synuclein. Higher GRS-PD was associated with faster CSF p-tau/Aβ increase, and GRS-AD and GRS-PD were interactively associated with CSF α-synuclein. In the PD group, higher GRS-AD was associated with poor visuospatial function, and baseline CSF p-tau/Aβ was associated with faster cognitive decline. Higher GRS-PD was associated with better semantic fluency and frontal-related cognition and motor function given the same levels of CSF biomarkers and dopamine transporter uptake. Taken together, our results suggest that higher GRS-AD and CSF p-tau/Aβ, reflecting AD-related pathophysiology, may be associated with cognitive decline in PD patients.
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18
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Si X, Guo T, Wang Z, Fang Y, Gu L, Cao L, Yang W, Gao T, Song Z, Tian J, Yin X, Guan X, Zhou C, Wu J, Bai X, Liu X, Zhao G, Zhang M, Pu J, Zhang B. Neuroimaging evidence of glymphatic system dysfunction in possible REM sleep behavior disorder and Parkinson's disease. NPJ Parkinsons Dis 2022; 8:54. [PMID: 35487930 PMCID: PMC9055043 DOI: 10.1038/s41531-022-00316-9] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 03/31/2022] [Indexed: 12/21/2022] Open
Abstract
Alpha-synucleinopathy is postulated to be central to both idiopathic rapid eye movement sleep behaviour disorder (iRBD) and Parkinson’s disease (PD). Growing evidence suggests an association between the diminished clearance of α-synuclein and glymphatic system dysfunction. However, evidence accumulating primarily based on clinical data to support glymphatic system dysfunction in patients with iRBD and PD is currently insufficient. This study aimed to use diffusion tensor image analysis along the perivascular space (DTI-ALPS) to evaluate glymphatic system activity and its relationship to clinical scores of disease severity in patients with possible iRBD (piRBDs) and those with PD. Further, we validated the correlation between the ALPS index and the prognosis of PD longitudinally. Overall, 168 patients with PD, 119 piRBDs, and 129 healthy controls were enroled. Among them, 50 patients with PD had been longitudinally reexamined. Patients with PD exhibited a lower ALPS index than those with piRBDs (P = 0.036), and both patient groups showed a lower ALPS index than healthy controls (P < 0.001 and P = 0.001). The ALPS index and elevated disease severity were negatively correlated in the piRBD and PD subgroups. Moreover, the ALPS index was correlated with cognitive decline in patients with PD in the longitudinal analyses. In conclusion, DTI-ALPS provided neuroimaging evidence of glymphatic system dysfunction in piRBDs and patients with PD; however, the potential of assessing the pathological progress of α-synucleinopathies as an indicator is worth verifying. Further development of imaging methods for glymphatic system function is also warranted.
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Affiliation(s)
- Xiaoli Si
- Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, 310009, Hangzhou, Zhejiang, China.,Department of Neurology, Fourth Affiliated Hospital, School of Medicine, Zhejiang University, N1 Avenue, 322000, Yiwu, Zhejiang, China
| | - Tao Guo
- Department of Radiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, 310009, Hangzhou, Zhejiang, China
| | - Zhiyun Wang
- Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, 310009, Hangzhou, Zhejiang, China
| | - Yi Fang
- Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, 310009, Hangzhou, Zhejiang, China
| | - Luyan Gu
- Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, 310009, Hangzhou, Zhejiang, China
| | - Lanxiao Cao
- Department of Neurology, Fourth Affiliated Hospital, School of Medicine, Zhejiang University, N1 Avenue, 322000, Yiwu, Zhejiang, China
| | - Wenyi Yang
- Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, 310009, Hangzhou, Zhejiang, China
| | - Ting Gao
- Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, 310009, Hangzhou, Zhejiang, China
| | - Zhe Song
- Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, 310009, Hangzhou, Zhejiang, China
| | - Jun Tian
- Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, 310009, Hangzhou, Zhejiang, China
| | - Xinzhen Yin
- Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, 310009, Hangzhou, Zhejiang, China
| | - Xiaojun Guan
- Department of Radiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, 310009, Hangzhou, Zhejiang, China
| | - Cheng Zhou
- Department of Radiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, 310009, Hangzhou, Zhejiang, China
| | - Jingjing Wu
- Department of Radiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, 310009, Hangzhou, Zhejiang, China
| | - Xueqin Bai
- Department of Radiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, 310009, Hangzhou, Zhejiang, China
| | - Xiaocao Liu
- Department of Radiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, 310009, Hangzhou, Zhejiang, China
| | - Guohua Zhao
- Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, 310009, Hangzhou, Zhejiang, China. .,Department of Neurology, Fourth Affiliated Hospital, School of Medicine, Zhejiang University, N1 Avenue, 322000, Yiwu, Zhejiang, China.
| | - Minming Zhang
- Department of Radiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, 310009, Hangzhou, Zhejiang, China.
| | - Jiali Pu
- Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, 310009, Hangzhou, Zhejiang, China.
| | - Baorong Zhang
- Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, 310009, Hangzhou, Zhejiang, China.
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19
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Neuropathological substrates of cognition in Parkinson's disease. PROGRESS IN BRAIN RESEARCH 2022; 269:177-193. [PMID: 35248194 DOI: 10.1016/bs.pbr.2022.01.014] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Autopsy validation is still required for a definitive diagnosis of Parkinson's disease (Postuma et al., 2015), where the presence of Lewy bodies and Lewy neurites, composed primarily of alpha-synuclein, are observed in stereotyped patterns throughout regions of the brainstem, limbic, and neocortical regions of the brain (Braak et al., 2003). In spite of these relatively reliable observed patterns of alpha-synuclein pathology, there is a large degree of heterogeneity in the timing and features of neuropsychiatric and cognitive dysfunction in Parkinson's disease (Fereshtehnejad et al., 2015; Selikhova et al., 2009; Williams-Gray et al., 2013). Detailed studies of their neuropathological substrates of cognitive dysfunction and their associations with a variety of in vivo biomarkers have begun to disentangle this complex relationship, but ongoing multicentered, longitudinal studies of well-characterized and autopsy validated cases are still required.
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20
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Scott GD, Arnold MR, Beach TG, Gibbons CH, Kanthasamy AG, Lebovitz RM, Lemstra AW, Shaw LM, Teunissen CE, Zetterberg H, Taylor AS, Graham TC, Boeve BF, Gomperts SN, Graff-Radford NR, Moussa C, Poston KL, Rosenthal LS, Sabbagh MN, Walsh RR, Weber MT, Armstrong MJ, Bang JA, Bozoki AC, Domoto-Reilly K, Duda JE, Fleisher JE, Galasko DR, Galvin JE, Goldman JG, Holden SK, Honig LS, Huddleston DE, Leverenz JB, Litvan I, Manning CA, Marder KS, Pantelyat AY, Pelak VS, Scharre DW, Sha SJ, Shill HA, Mari Z, Quinn JF, Irwin DJ. Fluid and Tissue Biomarkers of Lewy Body Dementia: Report of an LBDA Symposium. Front Neurol 2022; 12:805135. [PMID: 35173668 PMCID: PMC8841880 DOI: 10.3389/fneur.2021.805135] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 12/27/2021] [Indexed: 12/14/2022] Open
Abstract
The Lewy Body Dementia Association (LBDA) held a virtual event, the LBDA Biofluid/Tissue Biomarker Symposium, on January 25, 2021, to present advances in biomarkers for Lewy body dementia (LBD), which includes dementia with Lewy bodies (DLBs) and Parkinson's disease dementia (PDD). The meeting featured eight internationally known scientists from Europe and the United States and attracted over 200 scientists and physicians from academic centers, the National Institutes of Health, and the pharmaceutical industry. Methods for confirming and quantifying the presence of Lewy body and Alzheimer's pathology and novel biomarkers were discussed.
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Affiliation(s)
- Gregory D. Scott
- Department of Pathology, Oregon Health and Science University, Portland, OR, United States
- Department of Pathology and Laboratory Services, VA Portland Medical Center, Portland, OR, United States
| | - Moriah R. Arnold
- Graduate Program in Biomedical Sciences, School of Medicine M.D./Ph.D. Program, Oregon Health and Science University, Portland, OR, United States
| | - Thomas G. Beach
- Civin Laboratory for Neuropathology and Brain and Body Donation Program, Banner Sun Health Research Institute, Sun City, AZ, United States
| | - Christopher H. Gibbons
- Department of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States
| | - Anumantha G. Kanthasamy
- Department of Physiology and Pharmacology, Center for Brain Sciences and Neurodegenerative Diseases, University of Georgia, Athens, GA, United States
| | | | - Afina W. Lemstra
- Department of Neurology, Amsterdam University Medical Center (UMC), Alzheimer Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Leslie M. Shaw
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Charlotte E. Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam University Medical Center (UMC), Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, University College London (UCL) Institute of Neurology, London, United Kingdom
- UK Dementia Research Institute at University College London, London, United Kingdom
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | | | - Todd C. Graham
- Lewy Body Dementia Association, Lilburn, GA, United States
| | - Bradley F. Boeve
- Department of Neurology and Center for Sleep Medicine, Mayo Clinic, Rochester, MN, United States
| | - Stephen N. Gomperts
- Department of Neurology, Massachusetts General Hospital, Boston, MA, United States
| | | | - Charbel Moussa
- Department of Neurology, Georgetown University Medical Center, Washington DC, CA, United States
| | - Kathleen L. Poston
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, United States
| | - Liana S. Rosenthal
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Marwan N. Sabbagh
- Department of Neurology, Barrow Neurological Institute, Phoenix, AZ, United States
| | - Ryan R. Walsh
- Barrow Neurological Institute and Muhammed Ali Parkinson Center, Phoenix, AZ, United States
| | - Miriam T. Weber
- Department of Neurology, University of Rochester, Rochester, NY, United States
| | - Melissa J. Armstrong
- Department of Neurology, University of Florida College of Medicine, Gainesville, FL, United States
| | - Jee A. Bang
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Andrea C. Bozoki
- Department of Neurology, University of North Carolina, Chapel Hill, NC, United States
| | | | - John E. Duda
- Parkinson's Disease Research, Education and Clinical Center, Michael J. Crescenz VA Medical Center, Philadelphia, PA, United States
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Jori E. Fleisher
- Department of Neurological Sciences, Rush Medical College, Chicago, IL, United States
| | - Douglas R. Galasko
- Department of Neurosciences, University of California, San Diego, San Diego, CA, United States
| | - James E. Galvin
- Department of Neurology, Comprehensive Center for Brain Health, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Jennifer G. Goldman
- Shirley Ryan Abilitylab and Department of Physical Medicine and Rehabilitation and Neurology, Parkinson's Disease and Movement Disorders, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Samantha K. Holden
- Department of Neurology, University of Colorado School of Medicine, Aurora, CO, United States
| | - Lawrence S. Honig
- Columbia University Irving Medical Center, New York, NY, United States
| | - Daniel E. Huddleston
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, United States
| | - James B. Leverenz
- Lou Ruvo Center for Brain Health, Cleveland Clinic, Cleveland, OH, United States
| | - Irene Litvan
- Department of Neurosciences, University of California, San Diego, San Diego, CA, United States
| | - Carol A. Manning
- Department of Neurology, University of Virginia, Charlottesville, VA, United States
| | - Karen S. Marder
- Columbia University Irving Medical Center, New York, NY, United States
| | - Alexander Y. Pantelyat
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Victoria S. Pelak
- Departments of Neurology and Ophthalmology, University of Colorado School of Medicine, Aurora, CO, United States
| | - Douglas W. Scharre
- Department of Neurology, Ohio State University Wexner Medical Center, Columbus, OH, United States
| | - Sharon J. Sha
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, United States
| | - Holly A. Shill
- Department of Neurology, Barrow Neurological Institute, Phoenix, AZ, United States
| | - Zoltan Mari
- Lou Ruvo Center for Brain Health, Cleveland Clinic Lerner College of Medicine, Las Vegas, NV, United States
| | - Joseph F. Quinn
- Department of Neurology, Oregon Health and Science University, Portland, OR, United States
- Department of Neurology, VA Portland Medical Center, Portland, OR, United States
| | - David J. Irwin
- Department of Neurology, University of Pennsylvania Health System, Philadelphia, PA, United States
- Digital Neuropathology Laboratory, Philadelphia, PA, United States
- Lewy Body Disease Research Center of Excellence, Philadelphia, PA, United States
- Frontotemporal Degeneration Center, Philadelphia, PA, United States
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21
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van de Beek M, Ooms FAH, Ebenau JL, Barkhof F, Scheltens P, Teunissen CE, van Harten AC, van der Flier WM, Lemstra AW. Association of the ATN Research Framework With Clinical Profile, Ccognitive Decline, and Mortality in Patients With Dementia With Lewy Bodies. Neurology 2022; 98:e1262-e1272. [PMID: 35074893 DOI: 10.1212/wnl.0000000000200048] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 12/30/2021] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES The ATN framework has been developed to categorize biological processes within the Alzheimer's disease (AD) continuum. Since AD pathology often coincides with dementia with Lewy Bodies (DLB), we aimed to investigate the distribution of ATN profiles in DLB and associate ATN-profiles in DLB to prognosis. METHODS We included 202 DLB patients from the Amsterdam Dementia Cohort (68±7yrs, 19%F, MMSE: 24±3, DAT-SPECT abnormal: 105/119). Patients were classified into eight profiles according to the ATN framework, using CSF Aβ42 (A), CSF p-tau (T) and medial temporal atrophy scores (N). We compared presence of clinical symptoms in ATN profiles and used linear mixed models to analyze decline on cognitive tests (follow-up 3±2yrs for n=139). Mortality risk was assessed using Cox proportional hazards analysis. Analyses were performed on both the eight profiles, as well as three clustered categories (normal AD biomarkers, non-AD pathologic change, AD continuum). RESULTS Fifty (25%) DLB patients had normal AD biomarkers (A-T-N-), 37 (18%) had non-AD pathologic change (A-T+N-: 10%/A-T-N+: 6%/A-T+N+: 3%) and 115 (57%) were classified within the AD continuum (A+T-N-: 20%/A+T+N-: 16%/A+T-N+: 10%/A+T+N+: 9%). A+T+N+ patients were older and least often had RBD symptoms. Parkinsonism was more often present in A+T-, compared to A-T+ (independent of N). Compared to patients with normal AD biomarkers, patients in A+ categories showed steeper decline on memory tests and higher mortality risk. Cognitive decline and mortality did not differ between non-AD pathologic change and normal AD biomarkers. DISCUSSION In our DLB cohort, we found clinically relevant associations between ATN categories and disease manifestation. Patients within the AD continuum had steeper cognitive decline and shorter survival. Implementing the ATN framework within DLB patients aids in subtyping patients based on underlying biological processes and could provide targets for future treatment strategies, e.g. AD modifying treatment. Expanding the framework by incorporating markers for alpha-synucleinopathy would improve the use of the framework to characterize dementia patients with mixed pathology, which could enhance proper stratification of patients for therapeutic trials.
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Affiliation(s)
- Marleen van de Beek
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Floor A H Ooms
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Jarith L Ebenau
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, the Netherlands.,Institutes of Neurology and Healthcare Engineering, UCL, London, England, United Kingdom
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Charlotte E Teunissen
- Department of Neurochemistry, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Argonde C van Harten
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Epidemiology and Data Sciences, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Afina W Lemstra
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
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22
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Pathak N, Vimal SK, Tandon I, Agrawal L, Hongyi C, Bhattacharyya S. Neurodegenerative Disorders of Alzheimer, Parkinsonism, Amyotrophic Lateral Sclerosis and Multiple Sclerosis: An Early Diagnostic Approach for Precision Treatment. Metab Brain Dis 2022; 37:67-104. [PMID: 34719771 DOI: 10.1007/s11011-021-00800-w] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Accepted: 07/11/2021] [Indexed: 12/21/2022]
Abstract
Neurodegenerative diseases (NDs) are characterised by progressive dysfunction of synapses, neurons, glial cells and their networks. Neurodegenerative diseases can be classified according to primary clinical features (e.g., dementia, parkinsonism, or motor neuron disease), anatomic distribution of neurodegeneration (e.g., frontotemporal degenerations, extrapyramidal disorders, or spinocerebellar degenerations), or principal molecular abnormalities. The most common neurodegenerative disorders are amyloidosis, tauopathies, a-synucleinopathy, and TAR DNA-binding protein 43 (TDP-43) proteopathy. The protein abnormalities in these disorders have abnormal conformational properties along with altered cellular mechanisms, and they exhibit motor deficit, mitochondrial malfunction, dysfunctions in autophagic-lysosomal pathways, synaptic toxicity, and more emerging mechanisms such as the roles of stress granule pathways and liquid-phase transitions. Finally, for each ND, microglial cells have been reported to be implicated in neurodegeneration, in particular, because the microglial responses can shift from neuroprotective to a deleterious role. Growing experimental evidence suggests that abnormal protein conformers act as seed material for oligomerization, spreading from cell to cell through anatomically connected neuronal pathways, which may in part explain the specific anatomical patterns observed in brain autopsy sample. In this review, we mention the human pathology of select neurodegenerative disorders, focusing on how neurodegenerative disorders (i.e., Alzheimer's disease, Parkinson's disease, amyotrophic lateral sclerosis, and multiple sclerosis) represent a great healthcare problem worldwide and are becoming prevalent because of the increasing aged population. Despite many studies have focused on their etiopathology, the exact cause of these diseases is still largely unknown and until now with the only available option of symptomatic treatments. In this review, we aim to report the systematic and clinically correlated potential biomarker candidates. Although future studies are necessary for their use in early detection and progression in humans affected by NDs, the promising results obtained by several groups leads us to this idea that biomarkers could be used to design a potential therapeutic approach and preclinical clinical trials for the treatments of NDs.
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Affiliation(s)
- Nishit Pathak
- Department of Pharmaceutical Sciences and Chinese Traditional Medicine, Southwest University, Beibei, Chongqing, 400715, People's Republic of China
| | - Sunil Kumar Vimal
- Department of Pharmaceutical Sciences and Chinese Traditional Medicine, Southwest University, Beibei, Chongqing, 400715, People's Republic of China
| | - Ishi Tandon
- Amity University Jaipur, Rajasthan, Jaipur, Rajasthan, India
| | - Lokesh Agrawal
- Graduate School of Comprehensive Human Sciences, Kansei Behavioural and Brain Sciences, University of Tsukuba, 1-1-1, Tennodai, Tsukuba, Ibaraki, 305-8577, Japan
| | - Cao Hongyi
- Department of Pharmaceutical Sciences and Chinese Traditional Medicine, Southwest University, Beibei, Chongqing, 400715, People's Republic of China
| | - Sanjib Bhattacharyya
- Department of Pharmaceutical Sciences and Chinese Traditional Medicine, Southwest University, Beibei, Chongqing, 400715, People's Republic of China.
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23
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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. JOURNAL OF PARKINSON'S DISEASE 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] [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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24
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Coughlin DG, Coslett HB, Peterson C, Phillips JS, McMillan C, Lee EB, Trojanowski JQ, Grossman M, Irwin DJ. Lateralized
ante mortem
and
post mortem
pathology in a case of Lewy body disease with corticobasal syndrome. ALZHEIMER'S & DEMENTIA: TRANSLATIONAL RESEARCH & CLINICAL INTERVENTIONS 2022; 8:e12294. [PMID: 35592691 PMCID: PMC9092750 DOI: 10.1002/trc2.12294] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 03/08/2022] [Accepted: 03/10/2022] [Indexed: 11/06/2022]
Abstract
Introduction Methods Results Discussion
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Affiliation(s)
- David G. Coughlin
- Department of Neurosciences University of California San Diego La Jolla California USA
| | - H. Branch Coslett
- Department of Neurology University of Pennsylvania Philadelphia Pennsylvania USA
| | - Claire Peterson
- Department of Neurology University of Pennsylvania Philadelphia Pennsylvania USA
| | - Jeffrey S. Phillips
- Department of Neurology University of Pennsylvania Philadelphia Pennsylvania USA
| | - Corey McMillan
- Department of Neurology University of Pennsylvania Philadelphia Pennsylvania USA
| | - Edward B. Lee
- Department of Pathology and Laboratory Medicine University of Pennsylvania Philadelphia Pennsylvania USA
| | - John Q. Trojanowski
- Department of Pathology and Laboratory Medicine University of Pennsylvania Philadelphia Pennsylvania USA
| | - Murray Grossman
- Department of Neurology University of Pennsylvania Philadelphia Pennsylvania USA
| | - David J. Irwin
- Department of Neurology University of Pennsylvania Philadelphia Pennsylvania USA
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25
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Armstrong MJ. Advances in dementia with Lewy bodies. Ther Adv Neurol Disord 2021; 14:17562864211057666. [PMID: 34840608 PMCID: PMC8613883 DOI: 10.1177/17562864211057666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 10/14/2021] [Indexed: 11/17/2022] Open
Abstract
Dementia with Lewy bodies (DLB) is a clinical diagnosis representing a specific presentation of a pathological α-synucleinopathy (Lewy body disease). DLB is one entity under the broader term Lewy body dementia, which also includes Parkinson’s disease dementia. Recent advances in DLB include publication of updated diagnostic criteria and recognition of prodromal DLB states, including mild cognitive impairment, delirium-onset, and psychiatric-onset forms. Research criteria for the mild cognitive impairment form of DLB were published in 2020. Increasing research shows that concomitant Alzheimer’s disease pathology in individuals with DLB is common in addition to the α-synucleinopathy pathology. This has implications for biomarker use and expected progression. Identifying biomarkers for DLB is an area of active research. Cerebrospinal fluid and skin biopsy tests are now commercially available in the United States, but their role in routine clinical care is not yet established. Additional research and biomarkers are needed. Research suggests that median survival after DLB diagnosis is 3–4 years, but there are rapidly and slowly progressive forms. Most individuals with DLB die of complications of the disease. Clinical trials for individuals with DLB have increased over the last 5 years, targeting both symptoms and underlying pathology. Effective therapies remain an unmet need, however. This review focuses on recent advances with an emphasis on literature that informs clinical care.
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Affiliation(s)
- Melissa J Armstrong
- Department of Neurology, College of Medicine, University of Florida, P.O. Box 100268, Gainesville, FL 32611, USA
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26
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van der Lee SJ, van Steenoven I, van de Beek M, Tesi N, Jansen IE, van Schoor NM, Reinders MJT, Huisman M, Scheltens P, Teunissen CE, Holstege H, van der Flier WM, Lemstra AW. Genetics Contributes to Concomitant Pathology and Clinical Presentation in Dementia with Lewy Bodies. J Alzheimers Dis 2021; 83:269-279. [PMID: 34308904 PMCID: PMC8461715 DOI: 10.3233/jad-210365] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Background: Dementia with Lewy bodies (DLB) is a complex, progressive neurodegenerative disease with considerable phenotypic, pathological, and genetic heterogeneity. Objective: We tested if genetic variants in part explain the heterogeneity in DLB. Methods: We tested the effects of variants previously associated with DLB (near APOE, GBA, and SNCA) and polygenic risk scores for Alzheimer’s disease (AD-PRS) and Parkinson’s disease (PD-PRS). We studied 190 probable DLB patients from the Alzheimer’s dementia cohort and compared them to 2,552 control subjects. The p-tau/Aβ1–42 ratio in cerebrospinal fluid was used as in vivo proxy to separate DLB cases into DLB with concomitant AD pathology (DLB-AD) or DLB without AD (DLB-pure). We studied the clinical measures age, Mini-Mental State Examination (MMSE), and the presence of core symptoms at diagnosis and disease duration. Results: We found that all studied genetic factors significantly associated with DLB risk (all-DLB). Second, we stratified the DLB patients by the presence of concomitant AD pathology and found that APOE ɛ4 and the AD-PRS associated specifically with DLB-AD, but less with DLB-pure. In addition, the GBA p.E365K variant showed strong associated with DLB-pure and less with DLB-AD. Last, we studied the clinical measures and found that APOE ɛ4 associated with reduced MMSE, higher odds to have fluctuations and a shorter disease duration. In addition, the GBA p.E365K variant reduced the age at onset by 5.7 years, but the other variants and the PRS did not associate with clinical features. Conclusion: These finding increase our understanding of the pathological and clinical heterogeneity in DLB.
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Affiliation(s)
- Sven J van der Lee
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Section Genomics of Neurdegenerative Diseases and Aging, Department of Human Genetics Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Inger van Steenoven
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Marleen van de Beek
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Niccolò Tesi
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Section Genomics of Neurdegenerative Diseases and Aging, Department of Human Genetics Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Pattern Recognition & Bioinformatics, Delft University of Technology, Delft, The Netherlands
| | - Iris E Jansen
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije University, Amsterdam, The Netherlands
| | - Natasja M van Schoor
- Department of Epidemiology and Data Science, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Marcel J T Reinders
- Pattern Recognition & Bioinformatics, Delft University of Technology, Delft, The Netherlands
| | - Martijn Huisman
- Department of Epidemiology and Data Science, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.,Department of Sociology, VU University, Amsterdam, The Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Charlotte E Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Henne Holstege
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Section Genomics of Neurdegenerative Diseases and Aging, Department of Human Genetics Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Epidemiology and Data Science, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Afina W Lemstra
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
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27
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Baek MS, Lee MJ, Kim HK, Lyoo CH. Temporal trajectory of biofluid markers in Parkinson's disease. Sci Rep 2021; 11:14820. [PMID: 34285331 PMCID: PMC8292456 DOI: 10.1038/s41598-021-94345-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 07/09/2021] [Indexed: 11/18/2022] Open
Abstract
Full dynamics of biofluid biomarkers have been unknown in patients with Parkinson’s disease (PD). Using data from 396 PD patients and 182 controls in the Parkinson's Progression Markers Initiative (PPMI) database, we estimated long-term temporal trajectories of CSF α-synuclein (α-syn), amyloid-β (Aβ), total tau (t-tau), phosphorylated tau (p-tau) and serum neurofilament light chain (NfL) by integrating function between the baseline levels and annual changes. At baseline, PD patients showed lower CSF α-syn, Aβ, t-tau and p-tau levels than those of the controls. In all PD patients, CSF α-syn and Aβ decreased in a negative exponential pattern before the onset of motor symptoms, whereas CSF t-tau and p-tau, and serum NfL increased. Patients with cognitive impairment exhibited faster decline of Aβ and α-syn and faster rise of t-tau, p-tau and NfL, when compared to those without. Similarly, low Aβ group showed earlier decline of α-syn, faster rise of t-tau, p-tau and NfL, and faster decline of cognitive performances, when compared to high Aβ group. Our results suggest that longitudinal changes in biomarkers can be influenced by cognitive impairment and Aβ burden at baseline. PD patients with Aβ pathology may be associated with early appearance of α-synuclein pathology, rapid progression of axonal degeneration and neurodegeneration, and consequently greater cognitive decline.
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Affiliation(s)
- Min Seok Baek
- Department of Neurology, Wonju Severance Christian Hospital, Yonsei University Wonju College of Medicine, Wonju, Gangwon do, Republic of Korea.,Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, 20 Eonjuro 63-gil, Gangnam-gu, Seoul, Republic of Korea
| | - Myung Jun Lee
- Department of Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Biomedical Research Institute, Gudeok-ro 179, Seo-gu, Busan, 49241, Republic of Korea.
| | - Han-Kyeol Kim
- Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, 20 Eonjuro 63-gil, Gangnam-gu, Seoul, Republic of Korea
| | - Chul Hyoung Lyoo
- Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, 20 Eonjuro 63-gil, Gangnam-gu, Seoul, Republic of Korea
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28
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Effects of head trauma and sport participation in young-onset Parkinson's disease. J Neural Transm (Vienna) 2021; 128:1185-1193. [PMID: 34263354 PMCID: PMC8322011 DOI: 10.1007/s00702-021-02370-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 06/19/2021] [Indexed: 12/11/2022]
Abstract
Head trauma (HT) is emerging as an event anticipating onset of neurodegenerative disorders. However, the potential contribution of HT in young-onset cases (YOPD, age at onset < 50) of Parkinson’s disease (PD) has not been examined yet. Here, we systematically assessed HT history in PD patients to estimate the risk associated, especially in terms of age of onset, and define the correlations with the clinical-biochemical profile. The Brain Injury Screening Questionnaire (BISQ) was administered to 94 PD patients (31 with YOPD, known monogenic forms excluded) and 70 controls. HT history was correlated with motor and non-motor scores in all patients, and to CSF biomarkers of neurodegeneration (α-synuclein, amyloid-β42, total and phosporiled-181 tau, lactate, CSF/serum albumin) into a subgroup. HT increased the risk for both PD and YOPD. In PD patients, but not in those with YOPD, the number of HTs directly correlated with CSF total-tau levels. No other correlations resulted between HT and clinical parameters. Sport-related HT was a specific risk factor for YOPD; conversely, the prolonged sporting life represented a protective factor. HTs can favor PD onset, even as YOPD. Sport-related HT resulted a risk factor for YOPD, although the longer sporting practice delayed PD onset, protecting from YOPD. Tauopathy may underlie the overall association between HT and PD. Additional mechanisms could be instead implicated in HT contribution to YOPD onset.
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29
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Jung NY, Kim ES, Kim HS, Jeon S, Lee MJ, Pak K, Lee JH, Lee YM, Lee K, Shin JH, Ko JK, Lee JM, Yoon JA, Hwang C, Choi KU, Lee EC, Seong JK, Huh GY, Kim DS, Kim EJ. Comparison of Diagnostic Performances Between Cerebrospinal Fluid Biomarkers and Amyloid PET in a Clinical Setting. J Alzheimers Dis 2021; 74:473-490. [PMID: 32039853 DOI: 10.3233/jad-191109] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
The diagnostic performances of cerebrospinal fluid (CSF) biomarkers and amyloid positron emission tomography (PET) were compared by examining the association and concordance or discordance between CSF Aβ1-42 and amyloid PET, after determining our own cut-off values for CSF Alzheimer's disease (AD) biomarkers. Furthermore, we evaluated the ability of CSF biomarkers and amyloid PET to predict clinical progression. CSF Aβ1-42, t-tau, and p-tau levels were analyzed in 203 individuals [27 normal controls, 38 mild cognitive impairment (MCI), 62 AD dementia, and 76 patients with other neurodegenerative diseases] consecutively recruited from two dementia clinics. We used both visual and standardized uptake value ratio (SUVR)-based amyloid PET assessments for analyses. The association of CSF biomarkers with amyloid PET SUVR, hippocampal atrophy, and cognitive function were investigated by linear regression analysis, and the risk of conversion from MCI to AD dementia was assessed using a Cox proportional hazards model. CSF p-tau/Aβ1-42 and t-tau/Aβ1-42 exhibited the best diagnostic accuracies among the CSF AD biomarkers examined. Correlations were observed between CSF biomarkers and global SUVR, hippocampal volume, and cognitive function. Overall concordance and discordance between CSF Aβ1-42 and amyloid PET was 77% and 23%, respectively. Baseline positive CSF Aβ1-42 for MCI demonstrated a 5.6-fold greater conversion risk than negative CSF Aβ1-42 . However, amyloid PET findings failed to exhibit significant prognostic value. Therefore, despite presence of a significant correlation between the CSF Aβ1-42 level and SUVR of amyloid PET, and a relevant concordance between CSF Aβ1-42 and amyloid PET, baseline CSF Aβ1-42 better predicted AD conversion.
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Affiliation(s)
- Na-Yeon Jung
- Department of Neurology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Republic of Korea.,Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea
| | - Eun Soo Kim
- Department of Anesthesia and Pain Medicine, Pusan National University Hospital, School of Medicine, Pusan National University, Busan, Republic of Korea
| | - Hyang-Sook Kim
- Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea
| | - Sumin Jeon
- Department of Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Republic of Korea
| | - Myung Jun Lee
- Department of Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Republic of Korea
| | - Kyoungjune Pak
- Department of Nuclear Medicine, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea
| | - Jae-Hyeok Lee
- Department of Neurology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Republic of Korea.,Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea
| | - Young Min Lee
- Department of Psychiatry, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea
| | - Kangyoon Lee
- Department of Psychiatry, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea
| | - Jin-Hong Shin
- Department of Neurology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Republic of Korea.,Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea
| | - Jun Kyeung Ko
- Department of Neurosurgery, Medical Research Institute, Pusan National University Hospital, Busan, Republic of Korea
| | - Jae Meen Lee
- Department of Neurosurgery, Medical Research Institute, Pusan National University Hospital, Busan, Republic of Korea
| | - Jin A Yoon
- Department of Rehabilitation Medicine, Pusan National University School of Medicine and Biomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea
| | - Chungsu Hwang
- Department of Pathology, Pusan National University School of Medicine, Yangsan, Republic of Korea
| | - Kyung-Un Choi
- Department of Pathology, Pusan National University School of Medicine, Yangsan, Republic of Korea
| | - Eun Chong Lee
- School of Biomedical Engineering, Korea University, Seoul, Republic of Korea
| | - Joon-Kyung Seong
- School of Biomedical Engineering, Korea University, Seoul, Republic of Korea
| | - Gi Yeong Huh
- Department of Forensic Medicine, Pusan National University School of Medicine, Yangsan, Republic of Korea
| | - Dae-Seong Kim
- Department of Neurology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Republic of Korea.,Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea
| | - Eun-Joo Kim
- Department of Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Republic of Korea
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30
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Jellinger KA. Significance of cerebral amyloid angiopathy and other co-morbidities in Lewy body diseases. J Neural Transm (Vienna) 2021; 128:687-699. [PMID: 33928445 DOI: 10.1007/s00702-021-02345-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 04/22/2021] [Indexed: 01/12/2023]
Abstract
Lewy body dementia (LBD) and Parkinson's disease-dementia (PDD) are two major neurocognitive disorders with Lewy bodies (LB) of unknown etiology. There is considerable clinical and pathological overlap between these two conditions that are clinically distinguished based on the duration of Parkinsonism prior to development of dementia. Their morphology is characterized by a variable combination of LB and Alzheimer's disease (AD) pathologies. Cerebral amyloid angiopathy (CAA), very common in aged persons and particularly in AD, is increasingly recognized for its association with both pathologies and dementia. To investigate neuropathological differences between LB diseases with and without dementia, 110 PDD and 60 LBD cases were compared with 60 Parkinson's disease (PD) cases without dementia (PDND). The major demographic and neuropathological data were assessed retrospectively. PDD patients were significantly older than PDND ones (83.9 vs 77.8 years; p < 0.05); the age of LB patients was in between both groups (mean 80.2 years), while the duration of disease was LBD < PDD < PDND (mean 6.7 vs 12.5 and 14.3 years). LBD patients had higher neuritic Braak stages (mean 5.1 vs 4.5 and 4.0, respectively), LB scores (mean 5.3 vs 4.2 and 4.0, respectively), and Thal amyloid phases (mean 4.1 vs 3.0 and 2.3, respectively) than the two other groups. CAA was more common in LBD than in the PDD and PDND groups (93 vs 50 and 21.7%, respectively). Its severity was significantly greater in LBD than in PDD and PDND (p < 0.01), involving mainly the occipital lobes. Moreover, striatal Aβ deposition highly differentiated LBD brains from PDD. Braak neurofibrillary tangle (NFT) stages, CAA, and less Thal Aβ phases were positively correlated with LB pathology (p < 0.05), which was significantly higher in LBD than in PDD < PDND. Survival analysis showed worse prognosis in LBD than in PDD (and PDND), which was linked to both increased Braak tau stages and more severe CAA. These and other recent studies imply the association of CAA-and both tau and LB pathologies-with cognitive decline and more rapid disease progression that distinguishes LBD from PDD (and PDND).
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, 1150, Vienna, Austria.
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31
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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] [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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Ryman SG, Yutsis M, Tian L, Henderson VW, Montine TJ, Salmon DP, Galasko D, Poston KL. Cognition at Each Stage of Lewy Body Disease with Co-occurring Alzheimer's Disease Pathology. J Alzheimers Dis 2021; 80:1243-1256. [PMID: 33646154 PMCID: PMC8150665 DOI: 10.3233/jad-201187] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Background: Alzheimer’s disease neuropathologic change (ADNC) may contribute to dementia in patients with Lewy body disease (LBD) pathology. Objective: To examine how co-occurring ADNC impacts domain specific cognitive impairments at each pathologic stage (brainstem, limbic, cerebral cortical) of LBD. Methods: 2,433 participants with antemortem longitudinal neuropsychological assessment and postmortem neuropathological assessment from the National Alzheimer’s Coordinating Center’s Uniform Data Set were characterized based on the evaluation of ADNC and LBD. Longitudinal mixed-models were used to derive measures of cumulative cognitive deficit for each cognitive domain at each pathologic stage of LBD (brainstem, limbic, and cerebral cortical). Results: 111 participants with a pathologic diagnosis of LBD, 741 participants with combined LBD and ADNC, 1,357 participants with ADNC only, and 224 with no pathology (healthy controls) were included in the analyses. In the executive/visuospatial domain, combined LBD and ADNC showed worse deficits than LBD only when Lewy bodies were confined to the brainstem, but no difference when Lewy bodies extended to the limbic or cerebral cortical regions. The cerebral cortical LBD only group exhibited greater executive/visuospatial deficits than the ADNC only group. By contrast, the ADNC only group and the combined pathology group both demonstrated significantly greater cumulative memory deficits relative to Lewy body disease only, regardless of stage. Conclusion: The impact of co-occurring ADNC on antemortem cumulative cognitive deficits varies not only by domain but also on the pathological stage of Lewy bodies. Our findings stress the cognitive impact of different patterns of neuropathological progression in Lewy body diseases.
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Affiliation(s)
- Sephira G Ryman
- Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.,Translational Neuroscience, Mind Research Network, Albuquerque, NM, USA
| | - Maya Yutsis
- Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Lu Tian
- Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Victor W Henderson
- Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.,Epidemiology and Population Health, Stanford University, Stanford, CA, USA.,Department of Clinical Epidemiology, Aarhus University, Aarhus, Denmark
| | | | - David P Salmon
- Department of Neurosciences, University of California San Diego, San Diego, CA, USA
| | - Douglas Galasko
- Department of Neurosciences, University of California San Diego, San Diego, CA, USA
| | - Kathleen L Poston
- Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
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Campese N, Palermo G, Del Gamba C, Beatino MF, Galgani A, Belli E, Del Prete E, Della Vecchia A, Vergallo A, Siciliano G, Ceravolo R, Hampel H, Baldacci F. Progress regarding the context-of-use of tau as biomarker of Alzheimer's disease and other neurodegenerative diseases. Expert Rev Proteomics 2021; 18:27-48. [PMID: 33545008 DOI: 10.1080/14789450.2021.1886929] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Introduction: Tau protein misfolding and accumulation in toxic species is a critical pathophysiological process of Alzheimer's disease (AD) and other neurodegenerative disorders (NDDs). Tau biomarkers, namely cerebrospinal fluid (CSF) total-tau (t-tau), 181-phosphorylated tau (p-tau), and tau-PET tracers, have been recently embedded in the diagnostic criteria for AD. Nevertheless, the role of tau as a diagnostic and prognostic biomarker for other NDDs remains controversial.Areas covered: We performed a systematical PubMed-based review of the most recent advances in tau-related biomarkers for NDDs. We focused on papers published from 2015 to 2020 assessing the diagnostic or prognostic value of each biomarker.Expert opinion: The assessment of tau biomarkers in alternative easily accessible matrices, through the development of ultrasensitive techniques, represents the most significant perspective for AD-biomarker research. In NDDs, novel tau isoforms (e.g. p-tau217) or proteolytic fragments (e.g. N-terminal fragments) may represent candidate diagnostic and prognostic biomarkers and may help monitoring disease progression. Protein misfolding amplification assays, allowing the identification of different tau strains (e.g. 3 R- vs. 4 R-tau) in CSF, may constitute a breakthrough for the in vivo stratification of NDDs. Tau-PET may help tracking the spatial-temporal evolution of tau pathophysiology in AD but its application outside the AD-spectrum deserves further studies.
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Affiliation(s)
- Nicole Campese
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Giovanni Palermo
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Claudia Del Gamba
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | | | - Alessandro Galgani
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Elisabetta Belli
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Eleonora Del Prete
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | | | - Andrea Vergallo
- GRC N° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard De L'hôpital, Sorbonne University, Paris, France
| | - Gabriele Siciliano
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Roberto Ceravolo
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Harald Hampel
- GRC N° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard De L'hôpital, Sorbonne University, Paris, France
| | - Filippo Baldacci
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.,GRC N° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard De L'hôpital, Sorbonne University, Paris, France
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34
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Brisson M, Brodeur C, Létourneau‐Guillon L, Masellis M, Stoessl J, Tamm A, Zukotynski K, Ismail Z, Gauthier S, Rosa‐Neto P, Soucy J. CCCDTD5: Clinical role of neuroimaging and liquid biomarkers in patients with cognitive impairment. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2021; 6:e12098. [PMID: 33532543 PMCID: PMC7821956 DOI: 10.1002/trc2.12098] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Accepted: 09/11/2020] [Indexed: 04/21/2023]
Abstract
Since 1989, four Canadian Consensus Conferences on the Diagnosis and Treatment of Dementia (CCCDTDs) have provided evidence-based dementia diagnostic and treatment guidelines for Canadian clinicians and researchers. We present the results from the Neuroimaging and Fluid Biomarkers Group of the 5th CCCDTD (CCCDTD5), which addressed topics chosen by the steering committee to reflect advances in the field and build on our previous guidelines. Recommendations on Imaging and Fluid Biomarker Use from this Conference cover a series of different fields. Prior structural imaging recommendations for both computerized tomography (CT) and magnetic resonance imaging (MRI) remain largely unchanged, but MRI is now more central to the evaluation than before, with suggested sequences described here. The use of visual rating scales for both atrophy and white matter anomalies is now included in our recommendations. Molecular imaging with [18F]-fluorodeoxyglucose ([18F]-FDG) Positron Emisson Tomography (PET) or [99mTc]-hexamethylpropyleneamine oxime/ethylene cysteinate dimer ([99mTc]-HMPAO/ECD) Single Photon Emission Tomography (SPECT), should now decidedly favor PET. The value of [18F]-FDG PET in the assessment of neurodegenerative conditions has been established with greater certainty since the previous conference, and it has now been recognized as a useful biomarker to establish the presence of neurodegeneration by a number of professional organizations around the world. Furthermore, the role of amyloid PET has been clarified and our recommendations follow those from other groups in multiple countries. SPECT with [123I]-ioflupane (DaTscanTM) is now included as a useful study in differentiating Alzheimer's disease (AD) from Lewy body disease. Finally, liquid biomarkers are in a rapid phase of development and, could lead to a revolution in the assessment AD and other neurodegenerative conditions at a reasonable cost. We hope these guidelines will be useful for clinicians, researchers, policy makers, and the lay public, to inform a current and evidence-based approach to the use of neuroimaging and liquid biomarkers in clinical dementia evaluation and management.
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Affiliation(s)
- Mélanie Brisson
- Centre hospitalier de l'université de QuébecQuebec CityCanada
| | | | | | | | - Jon Stoessl
- Vancouver Coastal Health, University of British‐ColumbiaVancouverCanada
| | | | | | - Zahinoor Ismail
- Department of Psychiatry, Hotchkiss Brain Institute and O'Brien Institute for Public HealthUniversity of CalgaryCalgaryCanada
| | | | - Pedro Rosa‐Neto
- McGill Center for Studies in AgingCanada
- McConnell Brain Imaging Centre, Montreal Neurological InstituteMontrealCanada
| | - Jean‐Paul Soucy
- Centre hospitalier de l'université de MontréalMontrealCanada
- McConnell Brain Imaging Centre, Montreal Neurological InstituteMontrealCanada
- PERFORM Center, Concordia UniversityMontrealCanada
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35
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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] [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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Spotorno N, Coughlin DG, Olm CA, Wolk D, Vaishnavi SN, Shaw LM, Dahodwala N, Morley JF, Duda JE, Deik AF, Spindler MA, Chen‐Plotkin A, Lee EB, Trojanowski JQ, McMillan CT, Weintraub D, Grossman M, Irwin DJ. Tau pathology associates with in vivo cortical thinning in Lewy body disorders. Ann Clin Transl Neurol 2020; 7:2342-2355. [PMID: 33108692 PMCID: PMC7732256 DOI: 10.1002/acn3.51183] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Accepted: 08/12/2020] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVES To investigate the impact of Alzheimer's disease (AD) co-pathology on an in vivo structural measure of neurodegeneration in Lewy body disorders (LBD). METHODS We studied 72 LBD patients (Parkinson disease (PD) = 2, PD-MCI = 25, PD with dementia = 10, dementia with Lewy bodies = 35) with either CSF analysis or neuropathological examination and structural MRI during life. The cohort was divided into those harboring significant AD co-pathology, either at autopsy (intermediate/high AD neuropathologic change) or with CSF signature indicating AD co-pathology (t-tau/Aβ1-42 > 0.3) (LBD+AD, N = 19), and those without AD co-pathology (LBD-AD, N = 53). We also included a reference group of 25 patients with CSF biomarker-confirmed amnestic AD. We investigated differences in MRI cortical thickness estimates between groups, and in the 21 autopsied LBD patients (LBD-AD = 14, LBD+AD = 7), directly tested the association between antemortem MRI and post-mortem burdens of tau, Aβ, and alpha-synuclein using digital histopathology in five representative neocortical regions. RESULTS The LBD+AD group was characterized by cortical thinning in anterior/medial and lateral temporal regions (P < 0.05 FWE-corrected) relative to LBD-AD. In LBD+AD, cortical thinning was most pronounced in temporal neocortex, whereas the AD reference group showed atrophy that equally encompassed temporal, parietal and frontal neocortex. In autopsied LBD, we found an inverse correlation with cortical thickness and post-mortem tau pathology, while cortical thickness was not significantly associated with Aβ or alpha-synuclein pathology. INTERPRETATION LBD+AD is characterized by temporal neocortical thinning on MRI, and cortical thinning directly correlated with post-mortem histopathologic burden of tau, suggesting that tau pathology influences the pattern of neurodegeneration in LBD.
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Affiliation(s)
- Nicola Spotorno
- Penn Frontotemporal Degeneration CenterDepartment of NeurologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - David G. Coughlin
- Department of NeurologyPerelman School of MedicineUniversity of Pennsylvania PhiladelphiaPhiladelphiaPAUSA
- Department of RadiologyPenn Image Computing and Science LaboratoryUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - Christopher A. Olm
- Penn Frontotemporal Degeneration CenterDepartment of NeurologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
- Department of NeurosciencesHealth SciencesUC San DiegoSan DiegoCAUSA
| | - David Wolk
- Department of NeurologyPerelman School of MedicineUniversity of Pennsylvania PhiladelphiaPhiladelphiaPAUSA
- Alzheimer's Disease CenterDepartment of Neuropathology Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
| | - Sanjeev N. Vaishnavi
- Department of NeurologyPerelman School of MedicineUniversity of Pennsylvania PhiladelphiaPhiladelphiaPAUSA
- Alzheimer's Disease CenterDepartment of Neuropathology Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
| | - Leslie M. Shaw
- Department of Pathology and Laboratory MedicinePerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
| | - Nabila Dahodwala
- Department of NeurologyPerelman School of MedicineUniversity of Pennsylvania PhiladelphiaPhiladelphiaPAUSA
| | - James F. Morley
- Department of NeurologyPerelman School of MedicineUniversity of Pennsylvania PhiladelphiaPhiladelphiaPAUSA
- Parkinson's Disease ResearchEducation and Clinical Center (PADRECC)Michael J. Crescenz Veterans Affairs Medical CenterPhiladelphiaPAUSA
| | - John E. Duda
- Department of NeurologyPerelman School of MedicineUniversity of Pennsylvania PhiladelphiaPhiladelphiaPAUSA
- Parkinson's Disease ResearchEducation and Clinical Center (PADRECC)Michael J. Crescenz Veterans Affairs Medical CenterPhiladelphiaPAUSA
| | - Andres F. Deik
- Department of NeurologyPerelman School of MedicineUniversity of Pennsylvania PhiladelphiaPhiladelphiaPAUSA
| | - Meredith A. Spindler
- Department of NeurologyPerelman School of MedicineUniversity of Pennsylvania PhiladelphiaPhiladelphiaPAUSA
| | - Alice Chen‐Plotkin
- Department of NeurologyPerelman School of MedicineUniversity of Pennsylvania PhiladelphiaPhiladelphiaPAUSA
| | - Edward B. Lee
- Alzheimer's Disease CenterDepartment of Neuropathology Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
- Department of Pathology and Laboratory MedicinePerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
- Center for Neurodegenerative Disease ResearchPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
| | - John Q. Trojanowski
- Alzheimer's Disease CenterDepartment of Neuropathology Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
- Department of Pathology and Laboratory MedicinePerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
- Center for Neurodegenerative Disease ResearchPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
| | - Corey T. McMillan
- Penn Frontotemporal Degeneration CenterDepartment of NeurologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
- Department of NeurologyPerelman School of MedicineUniversity of Pennsylvania PhiladelphiaPhiladelphiaPAUSA
| | - Daniel Weintraub
- Department of NeurologyPerelman School of MedicineUniversity of Pennsylvania PhiladelphiaPhiladelphiaPAUSA
- Parkinson's Disease ResearchEducation and Clinical Center (PADRECC)Michael J. Crescenz Veterans Affairs Medical CenterPhiladelphiaPAUSA
- Department of PsychiatryPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
| | - Murray Grossman
- Penn Frontotemporal Degeneration CenterDepartment of NeurologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
- Department of RadiologyPenn Image Computing and Science LaboratoryUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - David J. Irwin
- Penn Frontotemporal Degeneration CenterDepartment of NeurologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
- Department of RadiologyPenn Image Computing and Science LaboratoryUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
- Digital Neuropathology LaboratoryPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
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Wolters EE, van de Beek M, Ossenkoppele R, Golla SSV, Verfaillie SCJ, Coomans EM, Timmers T, Visser D, Tuncel H, Barkhof F, Boellaard R, Windhorst AD, van der Flier WM, Scheltens P, Lemstra AW, van Berckel BNM. Tau PET and relative cerebral blood flow in dementia with Lewy bodies: A PET study. Neuroimage Clin 2020; 28:102504. [PMID: 33395993 PMCID: PMC7714680 DOI: 10.1016/j.nicl.2020.102504] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 11/08/2020] [Accepted: 11/10/2020] [Indexed: 02/07/2023]
Abstract
PURPOSE Alpha-synuclein often co-occurs with Alzheimer's disease (AD) pathology in Dementia with Lewy Bodies (DLB). From a dynamic [18F]flortaucipir PET scan we derived measures of both tau binding and relative cerebral blood flow (rCBF). We tested whether regional tau binding or rCBF differed between DLB patients and AD patients and controls and examined their association with clinical characteristics of DLB. METHODS Eighteen patients with probable DLB, 65 AD patients and 50 controls underwent a dynamic 130-minute [18F]flortaucipir PET scan. DLB patients with positive biomarkers for AD based on cerebrospinal fluid or amyloid PET were considered as DLB with AD pathology (DLB-AD+). Receptor parametric mapping (cerebellar gray matter reference region) was used to extract regional binding potential (BPND) and R1, reflecting (AD-specific) tau pathology and rCBF, respectively. First, we performed regional comparisons of [18F]flortaucipir BPND and R1 between diagnostic groups. In DLB patients only, we performed regression analyses between regional [18F]flortaucipir BPND, R1 and performance on ten neuropsychological tests. RESULTS Regional [18F]flortaucipir BPND in DLB was comparable with tau binding in controls (p > 0.05). Subtle higher tau binding was observed in DLB-AD+ compared to DLB-AD- in the medial temporal and parietal lobe (both p < 0.05). Occipital and lateral parietal R1 was lower in DLB compared to AD and controls (all p < 0.01). Lower frontal R1 was associated with impaired performance on digit span forward (standardized beta, stβ = 0.72) and category fluency (stβ = 0.69) tests. Lower parietal R1 was related to lower delayed (stβ = 0.50) and immediate (stβ = 0.48) recall, VOSP number location (stβ = 0.70) and fragmented letters (stβ = 0.59) scores. Lower occipital R1 was associated to worse performance on VOSP fragmented letters (stβ = 0.61), all p < 0.05. CONCLUSION The amount of tau binding in DLB was minimal and did not differ from controls. However, there were DLB-specific occipital and lateral parietal relative cerebral blood flow reductions compared to both controls and AD patients. Regional rCBF, but not tau binding, was related to cognitive impairment. This indicates that assessment of rCBF may give more insight into disease mechanisms in DLB than tau PET.
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Affiliation(s)
- E E Wolters
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands; Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
| | - M van de Beek
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - R Ossenkoppele
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands; Clinical Memory Research Unit, Lund University, Lund, Sweden
| | - S S V Golla
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - S C J Verfaillie
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - E M Coomans
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - T Timmers
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands; Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - D Visser
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - H Tuncel
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - F Barkhof
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands; Institutes of Neurology & Healthcare Engineering, UCL, London, United Kingdom
| | - R Boellaard
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - A D Windhorst
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - W M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands; Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Ph Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - A W Lemstra
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - B N M van Berckel
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
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Fluid Candidate Biomarkers for Alzheimer's Disease: A Precision Medicine Approach. J Pers Med 2020; 10:jpm10040221. [PMID: 33187336 PMCID: PMC7712586 DOI: 10.3390/jpm10040221] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 11/04/2020] [Accepted: 11/05/2020] [Indexed: 12/11/2022] Open
Abstract
A plethora of dynamic pathophysiological mechanisms underpins highly heterogeneous phenotypes in the field of dementia, particularly in Alzheimer's disease (AD). In such a faceted scenario, a biomarker-guided approach, through the implementation of specific fluid biomarkers individually reflecting distinct molecular pathways in the brain, may help establish a proper clinical diagnosis, even in its preclinical stages. Recently, ultrasensitive assays may detect different neurodegenerative mechanisms in blood earlier. ß-amyloid (Aß) peptides, phosphorylated-tau (p-tau), and neurofilament light chain (NFL) measured in blood are gaining momentum as candidate biomarkers for AD. P-tau is currently the more convincing plasma biomarker for the diagnostic workup of AD. The clinical role of plasma Aβ peptides should be better elucidated with further studies that also compare the accuracy of the different ultrasensitive techniques. Blood NFL is promising as a proxy of neurodegeneration process tout court. Protein misfolding amplification assays can accurately detect α-synuclein in cerebrospinal fluid (CSF), thus representing advancement in the pathologic stratification of AD. In CSF, neurogranin and YKL-40 are further candidate biomarkers tracking synaptic disruption and neuroinflammation, which are additional key pathophysiological pathways related to AD genesis. Advanced statistical analysis using clinical scores and biomarker data to bring together individuals with AD from large heterogeneous cohorts into consistent clusters may promote the discovery of pathophysiological causes and detection of tailored treatments.
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39
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Koyama AK, Irwin DJ. Alzheimer disease biomarker profiles in dementia with Lewy bodies: Does A plus T spell D-L-B? Neurology 2020; 95:1076-1077. [PMID: 32989112 DOI: 10.1212/wnl.0000000000010958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Affiliation(s)
- Alain K Koyama
- From the Australian Institute of Health Innovation (A.K.K.), Sydney; and University of Pennsylvania (D.J.I.), Philadelphia
| | - David John Irwin
- From the Australian Institute of Health Innovation (A.K.K.), Sydney; and University of Pennsylvania (D.J.I.), Philadelphia.
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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] [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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Cornblath EJ, Robinson JL, Irwin DJ, Lee EB, Lee VMY, Trojanowski JQ, Bassett DS. Defining and predicting transdiagnostic categories of neurodegenerative disease. Nat Biomed Eng 2020; 4:787-800. [PMID: 32747831 PMCID: PMC7946378 DOI: 10.1038/s41551-020-0593-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Accepted: 06/25/2020] [Indexed: 11/09/2022]
Abstract
The prevalence of concomitant proteinopathies and heterogeneous clinical symptoms in neurodegenerative diseases hinders the identification of individuals who might be candidates for a particular intervention. Here, by applying an unsupervised clustering algorithm to post-mortem histopathological data from 895 patients with degeneration in the central nervous system, we show that six non-overlapping disease clusters can simultaneously account for tau neurofibrillary tangles, α-synuclein inclusions, neuritic plaques, inclusions of the transcriptional repressor TDP-43, angiopathy, neuron loss and gliosis. We also show that membership to the six transdiagnostic disease clusters, which explains more variance in cognitive phenotypes than can be explained by individual diagnoses, can be accurately predicted from scores of the Mini-Mental Status Exam, protein levels in cerebrospinal fluid, and genotype at the APOE and MAPT loci, via cross-validated multiple logistic regression. This combination of unsupervised and supervised data-driven tools provides a framework that could be used to identify latent disease subtypes in other areas of medicine.
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Affiliation(s)
- Eli J Cornblath
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
| | - John L Robinson
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - David J Irwin
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Edward B Lee
- Translational Neuropathology Research Laboratory, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Virginia M-Y Lee
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - John Q Trojanowski
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Danielle S Bassett
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA.
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Physics and Astronomy, College of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Electrical and Systems Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Santa Fe Institute, Santa Fe, NM, 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. JOURNAL OF PARKINSONS DISEASE 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] [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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43
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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] [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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Personalized prediction of depression in patients with newly diagnosed Parkinson's disease: A prospective cohort study. J Affect Disord 2020; 268:118-126. [PMID: 32158001 DOI: 10.1016/j.jad.2020.02.046] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 02/13/2020] [Accepted: 02/27/2020] [Indexed: 12/17/2022]
Abstract
BACKGROUND Depressive disturbances in Parkinson's disease (dPD) have been identified as the most important determinant of quality of life in patients with Parkinson's disease (PD). Prediction models to triage patients at risk of depression early in the disease course are needed for prognosis and stratification of participants in clinical trials. METHODS One machine learning algorithm called extreme gradient boosting (XGBoost) and the logistic regression technique were applied for the prediction of clinically significant depression (defined as The 15-item Geriatric Depression Scale [GDS-15] ≥ 5) using a prospective cohort study of 312 drug-naïve patients with newly diagnosed PD during 2-year follow-up from the Parkinson's Progression Markers Initiative (PPMI) database. Established models were assessed with out-of-sample validation and the whole sample was divided into training and testing samples by the ratio of 7:3. RESULTS Both XGBoost model and logistic regression model achieved good discrimination and calibration. 2 PD-specific factors (age at onset, duration) and 4 nonspecific factors (baseline GDS-15 score, State Trait Anxiety Inventory [STAI] score, Rapid Eye Movement Sleep Behavior Disorder Screening Questionnaire [RBDSQ] score, and history of depression) were identified as important predictors by two models. LIMITATIONS Access to several variables was limited by database. CONCLUSIONS In this longitudinal study, we developed promising tools to provide personalized estimates of depression in early PD and studied the relative contribution of PD-specific and nonspecific predictors, constituting a substantial addition to the current understanding of dPD.
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45
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Baldacci F, Mazzucchi S, Della Vecchia A, Giampietri L, Giannini N, Koronyo-Hamaoui M, Ceravolo R, Siciliano G, Bonuccelli U, Elahi FM, Vergallo A, Lista S, Giorgi FS. The path to biomarker-based diagnostic criteria for the spectrum of neurodegenerative diseases. Expert Rev Mol Diagn 2020; 20:421-441. [PMID: 32066283 PMCID: PMC7445079 DOI: 10.1080/14737159.2020.1731306] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Accepted: 02/14/2020] [Indexed: 12/21/2022]
Abstract
Introduction: The postmortem examination still represents the reference standard for detecting the pathological nature of chronic neurodegenerative diseases (NDD). This approach displays intrinsic conceptual limitations since NDD represent a dynamic spectrum of partially overlapping phenotypes, shared pathomechanistic alterations that often give rise to mixed pathologies.Areas covered: We scrutinized the international clinical diagnostic criteria of NDD and the literature to provide a roadmap toward a biomarker-based classification of the NDD spectrum. A few pathophysiological biomarkers have been established for NDD. These are time-consuming, invasive, and not suitable for preclinical detection. Candidate screening biomarkers are gaining momentum. Blood neurofilament light-chain represents a robust first-line tool to detect neurodegeneration tout court and serum progranulin helps detect genetic frontotemporal dementia. Ultrasensitive assays and retinal scans may identify Aβ pathology early, in blood and the eye, respectively. Ultrasound also represents a minimally invasive option to investigate the substantia nigra. Protein misfolding amplification assays may accurately detect α-synuclein in biofluids.Expert opinion: Data-driven strategies using quantitative rather than categorical variables may be more reliable for quantification of contributions from pathophysiological mechanisms and their spatial-temporal evolution. A systems biology approach is suitable to untangle the dynamics triggering loss of proteostasis, driving neurodegeneration and clinical evolution.
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Affiliation(s)
- Filippo Baldacci
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
- Sorbonne University, GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard de l’hôpital, Paris, France
| | - Sonia Mazzucchi
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | | | - Linda Giampietri
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Nicola Giannini
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Maya Koronyo-Hamaoui
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Roberto Ceravolo
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Gabriele Siciliano
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Ubaldo Bonuccelli
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Fanny M. Elahi
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
| | - Andrea Vergallo
- Sorbonne University, GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard de l’hôpital, Paris, France
- Brain & Spine Institute (ICM), INSERM U 1127, CNRS UMR 7225, Boulevard de l’hôpital, Paris, France
- Department of Neurology, Institute of Memory and Alzheimer’s Disease (IM2A), Pitié-Salpêtrière Hospital, Paris, France
| | - Simone Lista
- Sorbonne University, GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard de l’hôpital, Paris, France
- Brain & Spine Institute (ICM), INSERM U 1127, CNRS UMR 7225, Boulevard de l’hôpital, Paris, France
- Department of Neurology, Institute of Memory and Alzheimer’s Disease (IM2A), Pitié-Salpêtrière Hospital, Paris, France
| | - Filippo Sean Giorgi
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
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46
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Schirinzi T, Di Lazzaro G, Sancesario GM, Summa S, Petrucci S, Colona VL, Bernardini S, Pierantozzi M, Stefani A, Mercuri NB, Pisani A. Young-onset and late-onset Parkinson's disease exhibit a different profile of fluid biomarkers and clinical features. Neurobiol Aging 2020; 90:119-124. [PMID: 32169356 DOI: 10.1016/j.neurobiolaging.2020.02.012] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 02/10/2020] [Accepted: 02/12/2020] [Indexed: 12/11/2022]
Abstract
Young-onset Parkinson's disease (YOPD) is a relevant condition whose neurobiology is questioned if different from those of typical late-onset Parkinson's disease (LOPD). Here, we explored whether the clinical-biochemical profile of Parkinson's disease (PD) could be affected by the age-of-onset (AO), as a possible result of a distinct neurodegenerative process. A panel of fluid biomarkers (CSF lactate, 42-amyloid-β peptide, total and 181-phosphorylated tau; serum uric acid) and the standard scores for motor and nonmotor signs were assessed in 76 idiopathic PD patients (genetic cases excluded; YOPD, AO ≤ 50, n = 44; LOPD, AO > 50, n = 32) and 75 sex/age-matched controls, adjusting the models for the main confounding factors. In PD, AO directly correlated to either CSF lactate and tau proteins or the nonmotor symptoms scale score. Specifically, a younger AO was associated with lower levels of biomarkers and minor burden of nonmotor symptoms. Our findings indicate that clinical-biochemical features of idiopathic PD may vary depending on the AO, accounting for different profiles in YOPD and LOPD whose recognition is fundamental for further pathophysiological implications and clinical applications.
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Affiliation(s)
- Tommaso Schirinzi
- Department of Systems Medicine, University of Roma Tor Vergata, Rome, Italy; Department of Neurosciences, IRCCS Bambino Gesù Children's Hospital, Rome, Italy.
| | - Giulia Di Lazzaro
- Department of Systems Medicine, University of Roma Tor Vergata, Rome, Italy
| | - Giulia Maria Sancesario
- Department of Experimental Neurosciences, IRCCS Santa Lucia Foundation, Rome, Italy; Department of Experimental Medicine and Surgery, University of Roma Tor Vergata, Rome, Italy
| | - Susanna Summa
- Department of Neurosciences, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Simona Petrucci
- Department of Clinical and Molecular Medicine, Sapienza University of Rome, Rome, Italy; Department of Clinical and Molecular Medicine, S. Andrea University Hospital, Rome, Italy; IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Vito Luigi Colona
- Department of Systems Medicine, University of Roma Tor Vergata, Rome, Italy
| | - Sergio Bernardini
- Department of Experimental Medicine and Surgery, University of Roma Tor Vergata, Rome, Italy
| | | | - Alessandro Stefani
- Department of Systems Medicine, University of Roma Tor Vergata, Rome, Italy
| | - Nicola Biagio Mercuri
- Department of Systems Medicine, University of Roma Tor Vergata, Rome, Italy; Department of Experimental Neurosciences, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Antonio Pisani
- Department of Systems Medicine, University of Roma Tor Vergata, Rome, Italy; Department of Experimental Neurosciences, IRCCS Santa Lucia Foundation, Rome, Italy
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47
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Shaw LM, Korecka M, Figurski M, Toledo J, Irwin D, Kang JH, Trojanowski JQ. Detection of Alzheimer Disease Pathology in Patients Using Biochemical Biomarkers: Prospects and Challenges for Use in Clinical Practice. J Appl Lab Med 2020; 5:183-193. [PMID: 31848218 PMCID: PMC7246169 DOI: 10.1373/jalm.2019.029587] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Accepted: 11/01/2019] [Indexed: 12/13/2022]
Abstract
BACKGROUND Thirty-four years ago, amyloid-β 1-42 peptide was identified in amyloid plaques from brain tissue obtained from patients with Alzheimer disease (AD) and Down syndrome. This finding led to development of immunoassays for this marker of amyloid plaque burden in cerebrospinal fluid (CSF) approximately 10 years later. Subsequently, research immunoassays were developed for total τ protein and τ phosphorylated at the threonine 181 position. Subsequent studies documented the clinical utility of these biomarkers of amyloid plaque burden or τ tangle pathology in cohorts of living patients. CONTENT We describe the following: (a) clinical utility of AD biomarkers; (b) measurement challenges, including development of mass spectrometry-based reference methods and automated immunoassays; (c) development of "appropriate use criteria" (AUC) guidelines for safe/appropriate use of CSF testing for diagnosis of AD developed by neurologists, a neuroethicist, and laboratorians; (d) a framework, sponsored by the National Institute of Aging-Alzheimer's Association (NIA-AA), that defines AD on the basis of CSF and imaging methods for detecting amyloid plaque burden, τ tangle pathology, and neurodegeneration. This framework's purpose was investigative but has important implications for future clinical practice; (e) recognition of copathologies in AD patients and challenges for developing methods to detect these in living patients. SUMMARY The field can expect availability of validated research tools for detection of AD pathology that support clinical treatment trials of disease-modifying agents and, ultimately, use in clinical practice. Validated methods are becoming available for CSF testing; emergence of validated methods for AD biomarkers in plasma can be expected in the next few years.
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Affiliation(s)
- Leslie M Shaw
- Department of Pathology and Laboratory Medicine, University
of Pennsylvania, Philadelphia, PA 19104
| | - Magdalena Korecka
- Department of Pathology and Laboratory Medicine, University
of Pennsylvania, Philadelphia, PA 19104
| | - Michal Figurski
- Department of Pathology and Laboratory Medicine, University
of Pennsylvania, Philadelphia, PA 19104
| | - Jon Toledo
- Department of Neurology, Houston Methodist Hospital,
Houston, TX
| | - David Irwin
- Department of Neurology, Perelman School of Medicine,
University of Pennsylvania, Philadelphia, PA 19104
| | - Ju Hee Kang
- Department of Pharmacology and Clinical Pharmacology,
College of Medicine, Inha University, Incheon, 22212, Republic of Korea
| | - John Q Trojanowski
- Department of Pathology and Laboratory Medicine, University
of Pennsylvania, Philadelphia, PA 19104
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48
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Coughlin DG, Hurtig H, Irwin DJ. Pathological Influences on Clinical Heterogeneity in Lewy Body Diseases. Mov Disord 2020; 35:5-19. [PMID: 31660655 PMCID: PMC7233798 DOI: 10.1002/mds.27867] [Citation(s) in RCA: 57] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2019] [Revised: 08/06/2019] [Accepted: 09/03/2019] [Indexed: 12/11/2022] Open
Abstract
PD, PD with dementia, and dementia with Lewy bodies are clinical syndromes characterized by the neuropathological accumulation of alpha-synuclein in the CNS that represent a clinicopathological spectrum known as Lewy body disorders. These clinical entities have marked heterogeneity of motor and nonmotor symptoms with highly variable disease progression. The biological basis for this clinical heterogeneity remains poorly understood. Previous attempts to subtype patients within the spectrum of Lewy body disorders have centered on clinical features, but converging evidence from studies of neuropathology and ante mortem biomarkers, including CSF, neuroimaging, and genetic studies, suggest that Alzheimer's disease beta-amyloid and tau copathology strongly influence clinical heterogeneity and prognosis in Lewy body disorders. Here, we review previous clinical biomarker and autopsy studies of Lewy body disorders and propose that Alzheimer's disease copathology is one of several likely pathological contributors to clinical heterogeneity of Lewy body disorders, and that such pathology can be assessed in vivo. Future work integrating harmonized assessments and genetics in PD, PD with dementia, and dementia with Lewy bodies patients followed to autopsy will be critical to further refine the classification of Lewy body disorders into biologically distinct endophenotypes. This approach will help facilitate clinical trial design for both symptomatic and disease-modifying therapies to target more homogenous subsets of Lewy body disorders patients with similar prognosis and underlying biology. © 2019 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- David G Coughlin
- University of Pennsylvania Health System, Department of Neurology
- Digital Neuropathology Laboratory
- Lewy Body Disease Research Center of Excellence
| | - Howard Hurtig
- University of Pennsylvania Health System, Department of Neurology
| | - David J Irwin
- University of Pennsylvania Health System, Department of Neurology
- Digital Neuropathology Laboratory
- Lewy Body Disease Research Center of Excellence
- Frontotemporal Degeneration Center, Philadelphia PA, USA 19104
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A visual rating scale for cingulate island sign on 18F-FDG-PET to differentiate dementia with Lewy bodies and Alzheimer's disease. J Neurol Sci 2019; 410:116645. [PMID: 31911283 DOI: 10.1016/j.jns.2019.116645] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 12/17/2019] [Accepted: 12/21/2019] [Indexed: 12/27/2022]
Abstract
Valid diagnosis of dementia with Lewy bodies (DLB) is essential to establish appropriate treatment and care. However, the diagnostic accuracy is complicated by clinical and pathological overlap with Alzheimer's disease (AD). Cingulate island sign (CIS), defined as sparing of posterior cingulate cortex (PCC) relative to precuneus and cuneus on 18F-fluoro-deoxy-glucose positron emission tomography (18F-FDG-PET), is included in the revised diagnostic DLB criteria. There are no guidelines for the visual grading of CIS, although visual rating is a fast-applicable method in a clinical setting. The objective was to develop a robust visual CIS scale and evaluate the performance in differentiating DLB with and without amyloid beta pathology (Aβ+/-), and AD. 18F-FDG-PET scans from 35 DLB patients, 36 AD patients, and 23 healthy controls were rated according to a visual CIS scale based on specific reading criteria. The visual CIS scale was validated against a quantitative CIS ratio derived from a region of interest analysis of PCC, precuneus, and cuneus. DLB patients had a significantly higher visual CIS score compared to AD patients, and controls. A cut-off visual CIS score of 4 significantly differentiated DLB Aβ- patients from DLB Aβ+ patients. In conclusion, the visual CIS scale is clinically useful to differentiate DLB from AD. The degree of CIS may be related to Aβ pathology in DLB patients.
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50
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Irwin DJ. Neuropathological Validation of Cerebrospinal Fluid Biomarkers in Neurodegenerative Diseases. J Appl Lab Med 2019; 5:jalm.2019.029876. [PMID: 31811076 DOI: 10.1373/jalm.2019.029876] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Accepted: 10/23/2019] [Indexed: 12/12/2022]
Affiliation(s)
- David J Irwin
- Penn Digital Neuropathology Laboratory
- Penn Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
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