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Weber DM, Kim JC, Goldman SM, Clarke NJ, Racke MK. New plasma LC-MS/MS assays for the quantitation of beta-amyloid peptides and identification of apolipoprotein E proteoforms for Alzheimer's disease risk assessment. J Investig Med 2024; 72:465-474. [PMID: 38548482 DOI: 10.1177/10815589241246537] [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] [Indexed: 05/01/2024]
Abstract
Early detection of Alzheimer's disease (AD) represents an unmet clinical need. Beta-amyloid (Aβ) plays an important role in AD pathology, and the Aβ42/40 peptide ratio is a good indicator for amyloid deposition. In addition, variants of the apolipoprotein E (APOE) gene are associated with variable AD risk. Here, we describe the development and validation of high-throughput liquid chromatography-tandem mass spectrometry (LC-MS/MS) assays for plasma Aβ40 and Aβ42 quantitation, as well as apolipoprotein E (ApoE) proteotype determination as a surrogate for APOE genotype. Aβ40 and Aβ42 were simultaneously immunoprecipitated from plasma, proteolytically digested, and quantitated by LC-MS/MS. ApoE proteotype status was qualitatively assessed by targeting tryptic peptides from the ApoE2, ApoE3, and ApoE4 proteoforms. Both assays were validated according to the Clinical and Laboratory Standards Institute (CLSI) guidelines. Within-run precision was 1.8%-4.2% (Aβ40), 1.9%-7.2% (Aβ42), and 2.6%-8.3% (Aβ42/40 ratio). Between-run precision was 3.5%-5.9% (Aβ40), 3.8%-8.0% (Aβ42), and 3.3%-8.7% (Aβ42/40 ratio). Both Aβ40 and Aβ42 were linear from 10 to 2500 pg/mL. Identified ApoE proteotypes had 100% concordance with APOE genotypes. We have developed a precise, accurate, and sensitive high-throughput LC-MS/MS assay for plasma Aβ40, Aβ42, and proteoforms of ApoE.
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Affiliation(s)
- Darren M Weber
- Quest Diagnostics Nichols Institute, San Juan Capistrano, CA, USA
| | - Jueun C Kim
- Quest Diagnostics Nichols Institute, San Juan Capistrano, CA, USA
| | - Scott M Goldman
- Quest Diagnostics Nichols Institute, San Juan Capistrano, CA, USA
| | - Nigel J Clarke
- Quest Diagnostics Nichols Institute, San Juan Capistrano, CA, USA
| | - Michael K Racke
- Quest Diagnostics Nichols Institute, San Juan Capistrano, CA, USA
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Weber DM, Taylor SW, Lagier RJ, Kim JC, Goldman SM, Clarke NJ, Vaillancourt DE, Duara R, McFarland KN, Wang WE, Golde TE, Racke MK. Clinical utility of plasma Aβ42/40 ratio by LC-MS/MS in Alzheimer's disease assessment. Front Neurol 2024; 15:1364658. [PMID: 38595851 PMCID: PMC11003272 DOI: 10.3389/fneur.2024.1364658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 03/08/2024] [Indexed: 04/11/2024] Open
Abstract
Introduction Plasma Aβ42/40 ratio can help predict amyloid PET status, but its clinical utility in Alzheimer's disease (AD) assessment is unclear. Methods Aβ42/40 ratio was measured by LC-MS/MS for 250 specimens with associated amyloid PET imaging, diagnosis, and demographic data, and for 6,192 consecutive clinical specimens submitted for Aβ42/40 testing. Results High diagnostic sensitivity and negative predictive value (NPV) for Aβ-PET positivity were observed, consistent with the clinical performance of other plasma LC-MS/MS assays, but with greater separation between Aβ42/40 values for individuals with positive vs. negative Aβ-PET results. Assuming a moderate prevalence of Aβ-PET positivity, a cutpoint was identified with 99% NPV, which could help predict that AD is likely not the cause of patients' cognitive impairment and help reduce PET evaluation by about 40%. Conclusion High-throughput plasma Aβ42/40 LC-MS/MS assays can help identify patients with low likelihood of AD pathology, which can reduce PET evaluations, allowing for cost savings.
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Affiliation(s)
- Darren M. Weber
- Quest Diagnostics Nichols Institute, San Juan Capistrano, CA, United States
| | - Steven W. Taylor
- Quest Diagnostics Nichols Institute, San Juan Capistrano, CA, United States
| | - Robert J. Lagier
- Quest Diagnostics Nichols Institute, San Juan Capistrano, CA, United States
| | - Jueun C. Kim
- Quest Diagnostics Nichols Institute, San Juan Capistrano, CA, United States
| | - Scott M. Goldman
- Quest Diagnostics Nichols Institute, San Juan Capistrano, CA, United States
| | - Nigel J. Clarke
- Quest Diagnostics Nichols Institute, San Juan Capistrano, CA, United States
| | - David E. Vaillancourt
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, United States
| | - Ranjan Duara
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, United States
- Wien Center for Alzheimer's Disease and Memory Disorders, Mount Sinai Medical Center, Miami Beach, FL, United States
| | - Karen N. McFarland
- Department of Neurology, Center for Translational Research in Neurodegenerative Disease, 1Florida Alzheimer’s Disease Research Center (ADRC), University of Florida, Gainesville, FL, United States
| | - Wei-en Wang
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, United States
| | - Todd E. Golde
- Department of Neurology, Center for Translational Research in Neurodegenerative Disease, 1Florida Alzheimer’s Disease Research Center (ADRC), University of Florida, Gainesville, FL, United States
- Department of Pharmacology and Chemical Biology, Department of Neurology, Emory Center for Neurodegenerative Disease, Emory University, Atlanta, GA, United States
| | - Michael K. Racke
- Quest Diagnostics Nichols Institute, San Juan Capistrano, CA, United States
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Weber DM, Taylor SW, Lagier RJ, Kim JC, Goldman SM, Clarke NJ, Vaillancourt DE, Duara R, McFarland KN, Wang WE, Golde TE, Racke MK. Clinical utility of plasma Aβ42/40 ratio by LC-MS/MS in Alzheimer's disease assessment. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.12.12.23299878. [PMID: 38168329 PMCID: PMC10760303 DOI: 10.1101/2023.12.12.23299878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
INTRODUCTION Plasma Aβ42/40 ratio can be used to help predict amyloid PET status, but its clinical utility in Alzheimer's disease (AD) assessment is unclear. METHODS Aβ42/40 ratio was measured by LC-MS/MS in 250 specimens with associated amyloid PET imaging, diagnosis, and demographic data, and 6,192 consecutive clinical specimens submitted for Aβ42/40 testing. RESULTS High diagnostic sensitivity and negative predictive value (NPV) for Aβ-PET positivity were observed, consistent with the clinical performance of other plasma LC-MS/MS assays, but with greater separation between Aβ42/40 values for individuals with positive vs negative Aβ-PET results. Assuming a moderate prevalence of Aβ-PET positivity, a cutpoint was identified with 99% NPV, which could help predict that AD is likely not the cause of patients' cognitive impairment and help reduce PET evaluation by about 40%. DISCUSSION Using high-throughput plasma Aβ42/40 LC-MS/MS assays can help reduce PET evaluations in patients with low likelihood of AD pathology, allowing for cost savings.
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Affiliation(s)
- Darren M Weber
- Quest Diagnostics Nichols Institute, San Juan Capistrano, CA USA
| | - Steven W Taylor
- Quest Diagnostics Nichols Institute, San Juan Capistrano, CA USA
| | - Robert J Lagier
- Quest Diagnostics Nichols Institute, San Juan Capistrano, CA USA
| | - Jueun C Kim
- Quest Diagnostics Nichols Institute, San Juan Capistrano, CA USA
| | - Scott M Goldman
- Quest Diagnostics Nichols Institute, San Juan Capistrano, CA USA
| | - Nigel J Clarke
- Quest Diagnostics Nichols Institute, San Juan Capistrano, CA USA
| | - David E Vaillancourt
- Department of Applied Physiology and Kinesiology, Fixel Institute for Neurological Disorders, and 1Florida ADRC, University of Florida, Gainesville, FL USA
| | - Ranjan Duara
- Department of Applied Physiology and Kinesiology, Fixel Institute for Neurological Disorders, and 1Florida ADRC, University of Florida, Gainesville, FL USA
- Wien Center for Alzheimer's Disease and Memory Disorders, Mount Sinai Medical Center, Miami Beach, FL USA
| | - Karen N McFarland
- Department of Neurology, Center for Translational Research in Neurodegenerative Disease, 1Florida Alzheimer's Disease Research Center (ADRC), University of Florida, Gainesville, FL USA
| | - Wei-En Wang
- Department of Applied Physiology and Kinesiology, Fixel Institute for Neurological Disorders, and 1Florida ADRC, University of Florida, Gainesville, FL USA
| | - Todd E Golde
- Department of Neurology, Center for Translational Research in Neurodegenerative Disease, 1Florida Alzheimer's Disease Research Center (ADRC), University of Florida, Gainesville, FL USA
- Department of Pharmacology and Chemical Biology and Department of Neurology Center for Neurodegenerative Disease, Goizueta Institute Emory Brain Health, Emory University, School of Medicine. Atlanta, GA USA
| | - Michael K Racke
- Quest Diagnostics Nichols Institute, San Juan Capistrano, CA USA
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Collij LE, Farrar G, Zwan M, van de Giessen E, Ossenkoppele R, Barkhof F, Rozemuller AJM, Pijnenburg YAL, van der Flier WM, Bouwman F. Clinical outcomes up to 9 years after [ 18F]flutemetamol amyloid-PET in a symptomatic memory clinic population. Alzheimers Res Ther 2023; 15:207. [PMID: 38012799 PMCID: PMC10680192 DOI: 10.1186/s13195-023-01351-1] [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: 06/27/2023] [Accepted: 11/09/2023] [Indexed: 11/29/2023]
Abstract
BACKGROUND Previous studies demonstrated increases in diagnostic confidence and change in patient management after amyloid-PET. However, studies investigating longitudinal outcomes over an extended period of time are limited. Therefore, we aimed to investigate clinical outcomes up to 9 years after amyloid-PET to support the clinical validity of the imaging technique. METHODS We analyzed longitudinal data from 200 patients (Mage = 61.8, 45.5% female, MMMSE = 23.3) suspected of early-onset dementia that underwent [18F]flutemetamol-PET. Baseline amyloid status was determined through visual read (VR). Information on mortality was available with a mean follow-up of 6.7 years (range = 1.1-9.3). In a subset of 108 patients, longitudinal cognitive scores and clinical etiological diagnosis (eDx) at least 1 year after amyloid-PET acquisition were available (M = 3.06 years, range = 1.00-7.02). VR - and VR + patients were compared on mortality rates with Cox Hazard's model, prevalence of stable eDx using chi-square test, and longitudinal cognition with linear mixed models. Neuropathological data was available for 4 patients (mean delay = 3.59 ± 1.82 years, range = 1.2-6.3). RESULTS At baseline, 184 (92.0%) patients were considered to have dementia. The majority of VR + patients had a primary etiological diagnosis of AD (122/128, 95.3%), while the VR - group consisted mostly of non-AD etiologies, most commonly frontotemporal lobar degeneration (30/72, 40.2%). Overall mortality rate was 48.5% and did not differ between VR - and VR + patients. eDx at follow-up was consistent with baseline diagnosis for 92/108 (85.2%) patients, with most changes observed in VR - cases (VR - = 14/35, 40% vs VR + = 2/73, 2.7%, χ2 = 26.03, p < 0.001), who at no time received an AD diagnosis. VR + patients declined faster than VR - patients based on MMSE (β = - 1.17, p = 0.004), episodic memory (β = - 0.78, p = 0.003), fluency (β = - 1.44, p < 0.001), and attention scores (β = 16.76, p = 0.03). Amyloid-PET assessment was in line with post-mortem confirmation in all cases; two cases were VR + and showed widespread AD pathology, while the other two cases were VR - and showed limited amyloid pathology. CONCLUSION In a symptomatic population, we observed that amyloid-status did not impact mortality rates, but is predictive of cognitive functioning over time across several domains. Also, we show particular validity for a negative amyloid-PET assessment, as these patients did not receive an AD diagnosis at follow-up.
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Affiliation(s)
- Lyduine E Collij
- Department of Radiology and Nuclear Medicine, Amsterdam UMC - location VUmc, Amsterdam, The Netherlands.
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands.
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.
| | | | - Marissa Zwan
- Alzheimer Center and Department of Neurology, Amsterdam UMC - location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Elsmarieke van de Giessen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC - location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands
| | - Rik Ossenkoppele
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Alzheimer Center and Department of Neurology, Amsterdam UMC - location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam UMC - location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands
- Centre for Medical Image Computing, and Queen Square Institute of Neurology, UCL, London, UK
| | | | - Yolande A L Pijnenburg
- Alzheimer Center and Department of Neurology, Amsterdam UMC - location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center and Department of Neurology, Amsterdam UMC - location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Department of Epidemiology and Data Science, Amsterdam UMC - location VUmc, Amsterdam, The Netherlands
| | - Femke Bouwman
- Alzheimer Center and Department of Neurology, Amsterdam UMC - location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
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Kepp KP, Robakis NK, Høilund-Carlsen PF, Sensi SL, Vissel B. The amyloid cascade hypothesis: an updated critical review. Brain 2023; 146:3969-3990. [PMID: 37183523 DOI: 10.1093/brain/awad159] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 04/20/2023] [Accepted: 04/23/2023] [Indexed: 05/16/2023] Open
Abstract
Results from recent clinical trials of antibodies that target amyloid-β (Aβ) for Alzheimer's disease have created excitement and have been heralded as corroboration of the amyloid cascade hypothesis. However, while Aβ may contribute to disease, genetic, clinical, imaging and biochemical data suggest a more complex aetiology. Here we review the history and weaknesses of the amyloid cascade hypothesis in view of the new evidence obtained from clinical trials of anti-amyloid antibodies. These trials indicate that the treatments have either no or uncertain clinical effect on cognition. Despite the importance of amyloid in the definition of Alzheimer's disease, we argue that the data point to Aβ playing a minor aetiological role. We also discuss data suggesting that the concerted activity of many pathogenic factors contribute to Alzheimer's disease and propose that evolving multi-factor disease models will better underpin the search for more effective strategies to treat the disease.
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Affiliation(s)
- Kasper P Kepp
- Section of Biophysical and Biomedicinal chemistry, DTU Chemistry, Technical University of Denmark, 2800 Kongens Lyngby, Denmark
| | - Nikolaos K Robakis
- Icahn School of Medicine at Mount Sinai Medical Center, New York, NY 10029, USA
| | - Poul F Høilund-Carlsen
- Department of Nuclear Medicine, Odense University Hospital, 5000 Odense C, Denmark
- Department of Clinical Research, University of Southern Denmark, 5000 Odense C, Denmark
| | - Stefano L Sensi
- Center for Advanced Studies and Technology-CAST, and Institute for Advanced Biotechnology (ITAB), University G. d'Annunzio of Chieti-Pescara, Chieti, 66013, Italy
- Department of Neuroscience, Imaging, and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, 66013, Italy
| | - Bryce Vissel
- St Vincent's Hospital Centre for Applied Medical Research, St Vincent's Hospital, Sydney, 2010, Australia
- School of Clinical Medicine, UNSW Medicine and Health, St Vincent's Healthcare Clinical Campus, Faculty of Medicine and Health, Sydney, NSW 2052, Australia
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Dang C, Wang Y, Li Q, Lu Y. Neuroimaging modalities in the detection of Alzheimer's disease-associated biomarkers. PSYCHORADIOLOGY 2023; 3:kkad009. [PMID: 38666112 PMCID: PMC11003434 DOI: 10.1093/psyrad/kkad009] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Revised: 06/04/2023] [Accepted: 06/20/2023] [Indexed: 04/28/2024]
Abstract
Alzheimer's disease (AD) is the most common cause of dementia. Neuropathological changes in AD patients occur up to 10-20 years before the emergence of clinical symptoms. Specific diagnosis and appropriate intervention strategies are crucial during the phase of mild cognitive impairment (MCI) and AD. The detection of biomarkers has emerged as a promising tool for tracking the efficacy of potential therapies, making an early disease diagnosis, and prejudging treatment prognosis. Specifically, multiple neuroimaging modalities, including magnetic resonance imaging (MRI), positron emission tomography, optical imaging, and single photon emission-computed tomography, have provided a few potential biomarkers for clinical application. The MRI modalities described in this review include structural MRI, functional MRI, diffusion tensor imaging, magnetic resonance spectroscopy, and arterial spin labelling. These techniques allow the detection of presymptomatic diagnostic biomarkers in the brains of cognitively normal elderly people and might also be used to monitor AD disease progression after the onset of clinical symptoms. This review highlights potential biomarkers, merits, and demerits of different neuroimaging modalities and their clinical value in MCI and AD patients. Further studies are necessary to explore more biomarkers and overcome the limitations of multiple neuroimaging modalities for inclusion in diagnostic criteria for AD.
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Affiliation(s)
- Chun Dang
- Department of Periodical Press, West China Hospital, Sichuan University, Chengdu 610000, China
| | - Yanchao Wang
- Department of Neurology, Chifeng University of Affiliated Hospital, Chifeng 024000, China
| | - Qian Li
- Department of Neurology, the Second Affiliated Hospital of Harbin Medical University, Harbin 150081, China
| | - Yaoheng Lu
- Department of General Surgery, Chengdu Integrated Traditional Chinese Medicine and Western Medicine Hospital, Chengdu 610000, China
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Feng LR, Vogel A, Mellergaard C, Waldemar G, Hasselbalch SG, Law I, Henriksen OM, Frederiksen KS. Clinical validation of the cingulate island sign visual rating scale in dementia with Lewy bodies. J Neurol Sci 2023; 451:120719. [PMID: 37421880 DOI: 10.1016/j.jns.2023.120719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 05/19/2023] [Accepted: 06/17/2023] [Indexed: 07/10/2023]
Abstract
INTRODUCTION The cingulate island sign (CIS) is a metabolic pattern on [18F]fluorodeoxyglucose ([18F]FDG) positron emission tomography (PET) associated with dementia with Lewy bodies (DLB). The aim of this study was to validate the visual CIS rating scale (CISRs) for the diagnosis of DLB and to explore the clinical correlates. METHODS This single-center study included 166 DLB patients and 161 patients with Alzheimer's disease (AD). The CIS on [18F]FDG-PET scans was rated using the CISRs independently by three blinded raters. RESULTS The optimal cut-off to differentiate DLB from AD was a CISRs score ≥ 1 (sensitivity = 66%, specificity = 84%) whereas a CISRs score ≥ 2 (sensitivity = 58%, specificity = 92%) was optimal to differentiate amyloid positive DLB (n = 43 (82.7%)) and AD. To identify DLB with abnormal (n = 53 (72.6%)) versus normal (n = 20 (27.4%)) dopamine transporter imaging, a CISRs cut-off of 4 had a specificity of 95%. DLB with a CISRs score of 4 performed significantly better in tests on free verbal recall and picture based cued recall, but worse on processing speed compared to DLB with a CISRs score of 0. CONCLUSION This study confirms the CISRs as a valid marker for the diagnosis of DLB with a high specificity and a lower, but acceptable, sensitivity. Concomitant AD pathology does not influence diagnostic accuracy of the CISRs. In DLB patients, presence of CIS is associated with relative preserved memory function and impaired processing speed.
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Affiliation(s)
- Linda Ruohua Feng
- Danish Dementia Research Centre, Department of Neurology, Neuroscience Centre, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Asmus Vogel
- Danish Dementia Research Centre, Department of Neurology, Neuroscience Centre, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Clara Mellergaard
- Danish Dementia Research Centre, Department of Neurology, Neuroscience Centre, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Gunhild Waldemar
- Danish Dementia Research Centre, Department of Neurology, Neuroscience Centre, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Steen Gregers Hasselbalch
- Danish Dementia Research Centre, Department of Neurology, Neuroscience Centre, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Ian Law
- Department of Clinical Physiology, Nuclear Medicine & PET, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Otto Mølby Henriksen
- Department of Clinical Physiology, Nuclear Medicine & PET, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Kristian Steen Frederiksen
- Danish Dementia Research Centre, Department of Neurology, Neuroscience Centre, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.
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Pais MV, Forlenza OV, Diniz BS. Plasma Biomarkers of Alzheimer's Disease: A Review of Available Assays, Recent Developments, and Implications for Clinical Practice. J Alzheimers Dis Rep 2023; 7:355-380. [PMID: 37220625 PMCID: PMC10200198 DOI: 10.3233/adr-230029] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 04/03/2023] [Indexed: 05/25/2023] Open
Abstract
Recently, low-sensitive plasma assays have been replaced by new ultra-sensitive assays such as single molecule enzyme-linked immunosorbent assay (Simoa), the Mesoscale Discovery (MSD) platform, and immunoprecipitation-mass spectrometry (IP-MS) with higher accuracy in the determination of plasma biomarkers of Alzheimer's disease (AD). Despite the significant variability, many studies have established in-house cut-off values for the most promising available biomarkers. We first reviewed the most used laboratory methods and assays to measure plasma AD biomarkers. Next, we review studies focused on the diagnostic performance of these biomarkers to identify AD cases, predict cognitive decline in pre-clinical AD cases, and differentiate AD cases from other dementia. We summarized data from studies published until January 2023. A combination of plasma Aβ42/40 ratio, age, and APOE status showed the best accuracy in diagnosing brain amyloidosis with a liquid chromatography-mass spectrometry (LC-MS) assay. Plasma p-tau217 has shown the best accuracy in distinguishing Aβ-PET+ from Aβ-PET-even in cognitively unimpaired individuals. We also summarized the different cut-off values for each biomarker when available. Recently developed assays for plasma biomarkers have undeniable importance in AD research, with improved analytical and diagnostic performance. Some biomarkers have been extensively used in clinical trials and are now clinically available. Nonetheless, several challenges remain to their widespread use in clinical practice.
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Affiliation(s)
- Marcos V. Pais
- UConn Center on Aging, University of Connecticut Health Center, Farmington, CT, USA
- Laboratory of Neuroscience (LIM-27), Departamento e Instituto de Psiquiatria, Faculdade de Medicina, Universidade de Sao Paulo (FMUSP), Sao Paulo, SP, Brazil
| | - Orestes V. Forlenza
- Laboratory of Neuroscience (LIM-27), Departamento e Instituto de Psiquiatria, Faculdade de Medicina, Universidade de Sao Paulo (FMUSP), Sao Paulo, SP, Brazil
| | - Breno S. Diniz
- UConn Center on Aging, University of Connecticut Health Center, Farmington, CT, USA
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Chandler JM, Rentz DM, Zagar A, Kim Y, Schwartz RL, Fillit H. Disease progression and costs at the 3-year follow-up of the GERAS-US study. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2023; 15:e12430. [PMID: 37091310 PMCID: PMC10113935 DOI: 10.1002/dad2.12430] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 02/15/2023] [Accepted: 03/19/2023] [Indexed: 04/25/2023]
Abstract
Introduction GERAS-US prospectively characterized clinical and economic outcomes of early symptomatic Alzheimer's disease (AD). Societal cost changes were examined in amyloid-positive patients with mild cognitive impairment due to AD (MCI) and mild dementia due to AD (MILD). Methods Cognition, function, and caregiver burden were assessed using Mini-Mental State Examination (MMSE), Cognitive Function Index (CFI), and Zarit Burden Interview, respectively. Costs are presented as least square mean for the overall population and for MCI versus MILD using mixed model repeated measures. Results MMSE score and CFI worsened. Total societal costs (dollars/month) for MCI and MILD, respectively, were higher at baseline ($2430 and $4063) but steady from 6 ($1977 and $3032) to 36 months ($2007 and $3392). Direct non-medical costs rose significantly for MILD. Caregiver burden was higher for MILD versus MCI at 12, 18, and 24 months. Discussion Function and cognition declined in MILD. Non-medical costs reflect the increasing impact of AD even in its early stages. HIGHLIGHTS In the GERAS-US study, total societal costs for patients with mild cognitive impairment due to Alzheimer's disease (MCI) and mild dementia due to Alzheimer's disease (MILD) were higher at baseline but steady from 6 to 36 months.Mini-Mental State Examination (MMSE) and Cognitive Function Index (CFI) worsened; the rate of decline was significant for patients with MILD but not for those with MCI.There was a rise in direct non-medical costs at 36 months for patients with MILD.Caregiver burden was higher for MILD versus MCI at 12, 18, and 24 months.Slowing the rate of disease progression in this early symptomatic population may allow patients to maintain their ability to carry out everyday activities longer.
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Affiliation(s)
| | - Dorene M. Rentz
- Department of NeurologyHarvard Medical SchoolBostonMassachusettsUSA
- Department of NeurologyBrigham and Women's HospitalMassachusetts General HospitalBostonMassachusettsUSA
| | | | - Yongin Kim
- Eli Lilly and CompanyIndianapolisIndianaUSA
| | | | - Howard Fillit
- Geriatric Medicine, Palliative Care and NeuroscienceThe Icahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
- Alzheimer's Drug Discovery FoundationNew YorkNew YorkUSA
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10
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Collij LE, Farrar G, Valléz García D, Bader I, Shekari M, Lorenzini L, Pemberton H, Altomare D, Pla S, Loor M, Markiewicz P, Yaqub M, Buckley C, Frisoni GB, Nordberg A, Payoux P, Stephens A, Gismondi R, Visser PJ, Ford L, Schmidt M, Birck C, Georges J, Mett A, Walker Z, Boada M, Drzezga A, Vandenberghe R, Hanseeuw B, Jessen F, Schöll M, Ritchie C, Lopes Alves I, Gispert JD, Barkhof F. The amyloid imaging for the prevention of Alzheimer's disease consortium: A European collaboration with global impact. Front Neurol 2023; 13:1063598. [PMID: 36761917 PMCID: PMC9907029 DOI: 10.3389/fneur.2022.1063598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 12/08/2022] [Indexed: 01/22/2023] Open
Abstract
Background Amyloid-β (Aβ) accumulation is considered the earliest pathological change in Alzheimer's disease (AD). The Amyloid Imaging to Prevent Alzheimer's Disease (AMYPAD) consortium is a collaborative European framework across European Federation of Pharmaceutical Industries Associations (EFPIA), academic, and 'Small and Medium-sized enterprises' (SME) partners aiming to provide evidence on the clinical utility and cost-effectiveness of Positron Emission Tomography (PET) imaging in diagnostic work-up of AD and to support clinical trial design by developing optimal quantitative methodology in an early AD population. The AMYPAD studies In the Diagnostic and Patient Management Study (DPMS), 844 participants from eight centres across three clinical subgroups (245 subjective cognitive decline, 342 mild cognitive impairment, and 258 dementia) were included. The Prognostic and Natural History Study (PNHS) recruited pre-dementia subjects across 11 European parent cohorts (PCs). Approximately 1600 unique subjects with historical and prospective data were collected within this study. PET acquisition with [18F]flutemetamol or [18F]florbetaben radiotracers was performed and quantified using the Centiloid (CL) method. Results AMYPAD has significantly contributed to the AD field by furthering our understanding of amyloid deposition in the brain and the optimal methodology to measure this process. Main contributions so far include the validation of the dual-time window acquisition protocol to derive the fully quantitative non-displaceable binding potential (BP ND ), assess the value of this metric in the context of clinical trials, improve PET-sensitivity to emerging Aβ burden and utilize its available regional information, establish the quantitative accuracy of the Centiloid method across tracers and support implementation of quantitative amyloid-PET measures in the clinical routine. Future steps The AMYPAD consortium has succeeded in recruiting and following a large number of prospective subjects and setting up a collaborative framework to integrate data across European PCs. Efforts are currently ongoing in collaboration with ARIDHIA and ADDI to harmonize, integrate, and curate all available clinical data from the PNHS PCs, which will become openly accessible to the wider scientific community.
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Affiliation(s)
- Lyduine E. Collij
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location VUmc, Amsterdam, Netherlands,Amsterdam Neuroscience, Brain Imaging, Amsterdam, Netherlands,*Correspondence: Lyduine E. Collij ✉
| | | | - David Valléz García
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location VUmc, Amsterdam, Netherlands,Amsterdam Neuroscience, Brain Imaging, Amsterdam, Netherlands
| | - Ilona Bader
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location VUmc, Amsterdam, Netherlands,Amsterdam Neuroscience, Brain Imaging, Amsterdam, Netherlands
| | | | - Luigi Lorenzini
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location VUmc, Amsterdam, Netherlands,Amsterdam Neuroscience, Brain Imaging, Amsterdam, Netherlands
| | - Hugh Pemberton
- Centre for Medical Image Computing, and Queen Square Institute of Neurology, UCL, London, United Kingdom
| | - Daniele Altomare
- Laboratory of Neuroimaging of Aging (LANVIE), Université de Genève, Geneva, Switzerland
| | - Sandra Pla
- Synapse Research Management Partners, Barcelona, Spain
| | - Mery Loor
- Synapse Research Management Partners, Barcelona, Spain
| | - Pawel Markiewicz
- Centre for Medical Image Computing, and Queen Square Institute of Neurology, UCL, London, United Kingdom
| | - Maqsood Yaqub
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location VUmc, Amsterdam, Netherlands
| | | | - Giovanni B. Frisoni
- Laboratory of Neuroimaging of Aging (LANVIE), Université de Genève, Geneva, Switzerland
| | - Agneta Nordberg
- Department of Neurobiology, Care Sciences and Society, Center of Alzheimer Research, Karolinska Institutet, Stockholm, Sweden
| | - Pierre Payoux
- Department of Nuclear Medicine, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Andrew Stephens
- Life Molecular Imaging GmbH, Berlin, Baden-Württemberg, Germany
| | | | - Pieter Jelle Visser
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location VUmc, Amsterdam, Netherlands
| | - Lisa Ford
- Janssen Pharmaceutica NV, Beerse, Belgium
| | | | | | | | - Anja Mett
- GE Healthcare, Amersham, United Kingdom
| | - Zuzana Walker
- Centre for Medical Image Computing, and Queen Square Institute of Neurology, UCL, London, United Kingdom
| | - Mercé Boada
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Alexander Drzezga
- Department of Psychiatry, University Hospital of Cologne, Cologne, North Rhine-Westphalia, Germany
| | - Rik Vandenberghe
- Faculty of Medicine, University Hospitals Leuven, Leuven, Brussels, Belgium
| | - Bernard Hanseeuw
- Institute of Neuroscience (IONS), Université Catholique de Louvain, Brussels, Belgium
| | - Frank Jessen
- Department of Psychiatry, University Hospital of Cologne, Cologne, North Rhine-Westphalia, Germany
| | - Michael Schöll
- Department of Psychiatry and Neurochemistry, University of Gothenburg, Gothenburg, Sweden
| | - Craig Ritchie
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | | | - Juan Domingo Gispert
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location VUmc, Amsterdam, Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location VUmc, Amsterdam, Netherlands,Amsterdam Neuroscience, Brain Imaging, Amsterdam, Netherlands,Centre for Medical Image Computing, and Queen Square Institute of Neurology, UCL, London, United Kingdom
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11
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Kepp KP, Sensi SL, Johnsen KB, Barrio JR, Høilund-Carlsen PF, Neve RL, Alavi A, Herrup K, Perry G, Robakis NK, Vissel B, Espay AJ. The Anti-Amyloid Monoclonal Antibody Lecanemab: 16 Cautionary Notes. J Alzheimers Dis 2023; 94:497-507. [PMID: 37334596 DOI: 10.3233/jad-230099] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
After the CLARITY-AD clinical trial results of lecanemab were interpreted as positive, and supporting the amyloid hypothesis, the drug received accelerated Food and Drug Administration approval. However, we argue that benefits of lecanemab treatment are uncertain and may yield net harm for some patients, and that the data do not support the amyloid hypothesis. We note potential biases from inclusion, unblinding, dropouts, and other issues. Given substantial adverse effects and subgroup heterogeneity, we conclude that lecanemab's efficacy is not clinically meaningful, consistent with numerous analyses suggesting that amyloid-β and its derivatives are not the main causative agents of Alzheimer's disease dementia.
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Affiliation(s)
- Kasper P Kepp
- Department of Chemistry, Section of Biophysical and Biomedicinal Chemistry, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Stefano L Sensi
- Center for Advanced Studies and Technology - CAST, and Institute for Advanced Biotechnology (ITAB), University G. d'Annunzio of Chieti-Pescara, Italy
- Department of Neuroscience, Imaging, and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Italy
| | - Kasper B Johnsen
- Department of Health Science and Technology, Neurobiology Research and Drug Delivery Group, Aalborg University, Aalborg, Denmark
| | - Jorge R Barrio
- Department of Molecular and Medical Pharmacology, UCLA School of Medicine, Los Angeles, CA, USA
| | - Poul F Høilund-Carlsen
- Department of Nuclear Medicine, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Rachael L Neve
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Abass Alavi
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA USA
| | - Karl Herrup
- Department of Neurobiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - George Perry
- Department of Neuroscience, Developmental and Regenerative Biology, The University of Texas at San Antonio, San Antonio, TX, USA
| | - Nikolaos K Robakis
- Icahn School of Medicine at Mount Sinai Medical Center, New York, NY, USA
| | - Bryce Vissel
- St Vincent's Hospital Centre for Applied Medical Research, St Vincent's Hospital, Darlinghurst, NSW, Australia
- School of Clinical Medicine, UNSW Medicine & Health, St Vincent's Healthcare Clinical Campus, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia
| | - Alberto J Espay
- Department of Neurology, James J. and Joan A. Gardner Family Center for Parkinson's Disease and Movement Disorders, University of Cincinnati, Cincinnati, OH, USA
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12
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Collij LE, Salvadó G, de Wilde A, Altomare D, Shekari M, Gispert JD, Bullich S, Stephens A, Barkhof F, Scheltens P, Bouwman F, van der Flier WM. Quantification of [
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F]florbetaben amyloid‐PET imaging in a mixed memory clinic population: The ABIDE project. Alzheimers Dement 2022. [DOI: 10.1002/alz.12886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 10/25/2022] [Accepted: 10/27/2022] [Indexed: 12/12/2022]
Affiliation(s)
- Lyduine E. Collij
- Department of Radiology and Nuclear Medicine Amsterdam University Medical Center Amsterdam Neuroscience Amsterdam The Netherlands
| | - Gemma Salvadó
- Barcelonaβeta Brain Research Center (BBRC) Pasqual Maragall Foundation Barcelona Spain
- Clinical Memory Research Unit Department of Clinical Sciences Lund University Malmö Sweden
| | - Arno de Wilde
- Department of Neurology Alzheimer Center Amsterdam Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam The Netherlands
| | - Daniele Altomare
- Laboratory of Neuroimaging of Aging (LANVIE) University of Geneva Geneva Switzerland
- Memory Center Geneva University Hospitals Geneva Switzerland
| | - Mahnaz Shekari
- Barcelonaβeta Brain Research Center (BBRC) Pasqual Maragall Foundation Barcelona Spain
- IMIM (Hospital del Mar Medical Research Institute) Barcelona Spain
- Pompeu Fabra University Barcelona Spain
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center (BBRC) Pasqual Maragall Foundation Barcelona Spain
- IMIM (Hospital del Mar Medical Research Institute) Barcelona Spain
- Centro de Investigación Biomédica en Red de Bioingeniería Biomateriales y Nanomedicina (CIBER‐BBN) Madrid Spain
| | | | | | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine Amsterdam University Medical Center Amsterdam Neuroscience Amsterdam The Netherlands
- Centre for Medical Image Computing and Queen Square Institute of Neurology UCL London UK
| | - Philip Scheltens
- Department of Neurology Alzheimer Center Amsterdam Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam The Netherlands
| | - Femke Bouwman
- Department of Neurology Alzheimer Center Amsterdam Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam The Netherlands
| | - Wiesje M. van der Flier
- Department of Neurology Alzheimer Center Amsterdam Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam The Netherlands
- Department of Epidemiology & Data Science Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam The Netherlands
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13
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Kannappan B, te Nijenhuis J, Choi YY, Lee JJ, Choi KY, Balzekas I, Jung HY, Choe Y, Song MK, Chung JY, Ha JM, Choi SM, Kim H, Kim BC, Jo HJ, Lee KH. Can hippocampal subfield measures supply information that could be used to improve the diagnosis of Alzheimer's disease? PLoS One 2022; 17:e0275233. [PMID: 36327265 PMCID: PMC9632892 DOI: 10.1371/journal.pone.0275233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Accepted: 09/12/2022] [Indexed: 11/05/2022] Open
Abstract
The diagnosis of Alzheimer's disease (AD) needs to be improved. We investigated if hippocampal subfield volume measured by structural imaging, could supply information, so that the diagnosis of AD could be improved. In this study, subjects were classified based on clinical, neuropsychological, and amyloid positivity or negativity using PET scans. Data from 478 elderly Korean subjects grouped as cognitively unimpaired β-amyloid-negative (NC), cognitively unimpaired β-amyloid-positive (aAD), mild cognitively impaired β-amyloid-positive (pAD), mild cognitively impaired-specific variations not due to dementia β-amyloid-negative (CIND), severe cognitive impairment β-amyloid-positive (ADD+) and severe cognitive impairment β-amyloid-negative (ADD-) were used. NC and aAD groups did not show significant volume differences in any subfields. The CIND did not show significant volume differences when compared with either the NC or the aAD (except L-HATA). However, pAD showed significant volume differences in Sub, PrS, ML, Tail, GCMLDG, CA1, CA4, HATA, and CA3 when compared with the NC and aAD. The pAD group also showed significant differences in the hippocampal tail, CA1, CA4, molecular layer, granule cells/molecular layer/dentate gyrus, and CA3 when compared with the CIND group. The ADD- group had significantly larger volumes than the ADD+ group in the bilateral tail, SUB, PrS, and left ML. The results suggest that early amyloid depositions in cognitive normal stages are not accompanied by significant bilateral subfield volume atrophy. There might be intense and accelerated subfield volume atrophy in the later stages associated with the cognitive impairment in the pAD stage, which subsequently could drive the progression to AD dementia. Early subfield volume atrophy associated with the β-amyloid burden may be characterized by more symmetrical atrophy in CA regions than in other subfields. We conclude that the hippocampal subfield volumetric differences from structural imaging show promise for improving the diagnosis of Alzheimer's disease.
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Affiliation(s)
- Balaji Kannappan
- Gwangju Alzheimer’s & Related Dementias Cohort Research Center, Chosun University, Gwangju, South Korea
- Department of Biomedical Science, Chosun University, Gwangju, South Korea
| | - Jan te Nijenhuis
- Gwangju Alzheimer’s & Related Dementias Cohort Research Center, Chosun University, Gwangju, South Korea
- Department of Biomedical Science, Chosun University, Gwangju, South Korea
| | - Yu Yong Choi
- Gwangju Alzheimer’s & Related Dementias Cohort Research Center, Chosun University, Gwangju, South Korea
| | - Jang Jae Lee
- Gwangju Alzheimer’s & Related Dementias Cohort Research Center, Chosun University, Gwangju, South Korea
| | - Kyu Yeong Choi
- Gwangju Alzheimer’s & Related Dementias Cohort Research Center, Chosun University, Gwangju, South Korea
| | - Irena Balzekas
- Department of Neurology, Mayo Clinic, Rochester, Minnesota
| | - Ho Yub Jung
- Department of Computer Engineering, Chosun University, Gwangju, South Korea
| | | | - Min Kyung Song
- Department of Neurology, Chonnam National University Medical School and Hospital, Gwangju, South Korea
| | - Ji Yeon Chung
- Gwangju Alzheimer’s & Related Dementias Cohort Research Center, Chosun University, Gwangju, South Korea
- Department of Neurology, Chosun University Hospital, Gwangju, South Korea
| | - Jung-Min Ha
- Gwangju Alzheimer’s & Related Dementias Cohort Research Center, Chosun University, Gwangju, South Korea
- Department of Nuclear Medicine, Chosun University Hospital, Gwangju, South Korea
| | - Seong-Min Choi
- Department of Neurology, Chonnam National University Medical School, Gwangju, South Korea
| | - Hoowon Kim
- Gwangju Alzheimer’s & Related Dementias Cohort Research Center, Chosun University, Gwangju, South Korea
- Department of Neurology, Chosun University Hospital, Gwangju, South Korea
| | - Byeong C. Kim
- Department of Neurology, Chonnam National University Medical School, Gwangju, South Korea
| | - Hang Joon Jo
- Department of Physiology, College of Medicine, Hanyang University, Seoul, South Korea
| | - Kun Ho Lee
- Gwangju Alzheimer’s & Related Dementias Cohort Research Center, Chosun University, Gwangju, South Korea
- Department of Biomedical Science, Chosun University, Gwangju, South Korea
- Korea Brain Research Institute, Daegu, South Korea
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14
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Comparison of Three Automated Approaches for Classification of Amyloid-PET Images. Neuroinformatics 2022; 20:1065-1075. [PMID: 35622223 DOI: 10.1007/s12021-022-09587-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/25/2022] [Indexed: 01/27/2023]
Abstract
Automated amyloid-PET image classification can support clinical assessment and increase diagnostic confidence. Three automated approaches using global cut-points derived from Receiver Operating Characteristic (ROC) analysis, machine learning (ML) algorithms with regional SUVr values, and deep learning (DL) network with 3D image input were compared under various conditions: number of training data, radiotracers, and cohorts. 276 [11C]PiB and 209 [18F]AV45 PET images from ADNI database and our local cohort were used. Global mean and maximum SUVr cut-points were derived using ROC analysis. 68 ML models were built using regional SUVr values and one DL network was trained with classifications of two visual assessments - manufacturer's recommendations (gray-scale) and with visually guided reference region scaling (rainbow-scale). ML-based classification achieved similarly high accuracy as ROC classification, but had better convergence between training and unseen data, with a smaller number of training data. Naïve Bayes performed the best overall among the 68 ML algorithms. Classification with maximum SUVr cut-points yielded higher accuracy than with mean SUVr cut-points, particularly for cohorts showing more focal uptake. DL networks can support the classification of definite cases accurately but performed poorly for equivocal cases. Rainbow-scale standardized image intensity scaling and improved inter-rater agreement. Gray-scale detects focal accumulation better, thus classifying more amyloid-positive scans. All three approaches generally achieved higher accuracy when trained with rainbow-scale classification. ML yielded similarly high accuracy as ROC, but with better convergence between training and unseen data, and further work may lead to even more accurate ML methods.
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15
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Ketchum FB, Chin NA, Grill J, Gleason CE, Erickson C, Clark LR, Paulsen JS, Kind AJ. Moving beyond disclosure: Stages of care in preclinical Alzheimer's disease biomarker testing. Alzheimers Dement 2022; 18:1969-1979. [PMID: 35213786 PMCID: PMC9402800 DOI: 10.1002/alz.12620] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 01/07/2022] [Accepted: 01/11/2022] [Indexed: 01/28/2023]
Abstract
Alzheimer's disease (AD) begins with an asymptomatic "preclinical" phase, in which abnormal biomarkers indicate risk for developing cognitive impairment. Biomarker information is increasingly being disclosed in research settings, and is moving toward clinical settings with the development of cheaper and non-invasive testing. Limited research has focused on the safety and psychological effects of disclosing biomarker results to cognitively unimpaired adults. However, less is known about how to ensure equitable access and robust counseling for decision-making before testing, and how to effectively provide long-term follow-up and risk management after testing. Using the framework of Huntington's disease, which is based on extensive experience with disclosing and managing risk for a progressive neurodegenerative condition, this article proposes a conceptual model of pre-disclosure, disclosure, and post-disclosure phases for AD biomarker testing. Addressing research questions in each phase will facilitate the transition of biomarker testing into clinical practice.
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Affiliation(s)
- Fred B. Ketchum
- Department of NeurologyUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Nathaniel A. Chin
- Division of GeriatricsDepartment of MedicineUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA,Wisconsin Alzheimer's Disease Research CenterMadisonWisconsinUSA
| | - Joshua Grill
- Institute for Memory Impairments and Neurological DisordersUniversity of California, IrvineIrvineCaliforniaUSA,Departments of Psychiatry and Human Behavior and Neurobiology and BehaviorUniversity of California, IrvineIrvineCaliforniaUSA
| | - Carey E. Gleason
- Division of GeriatricsDepartment of MedicineUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA,Wisconsin Alzheimer's Disease Research CenterMadisonWisconsinUSA,Geriatric ResearchEducation and Clinical Center (11G)William S. Middleton Memorial Veterans HospitalMadisonWisconsinUSA
| | - Claire Erickson
- Wisconsin Alzheimer's Disease Research CenterMadisonWisconsinUSA,Neuroscience & Public Policy ProgramUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Lindsay R. Clark
- Division of GeriatricsDepartment of MedicineUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Jane S. Paulsen
- Department of NeurologyUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Amy J.H. Kind
- Division of GeriatricsDepartment of MedicineUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA,Wisconsin Alzheimer's Disease Research CenterMadisonWisconsinUSA,Center for Health Disparities ResearchUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
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16
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Birdsill AC, Koscik RL, Cody KA, Jonaitis EM, Cadman RV, Erickson CM, Chin NA, Przybelski RJ, Carlsson CM, Asthana S, Christian BT, Eisenmenger LB, Betthauser TJ, Johnson SC. Trajectory of clinical symptoms in relation to amyloid chronicity. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2022; 14:e12360. [PMID: 36187195 PMCID: PMC9489232 DOI: 10.1002/dad2.12360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 07/27/2022] [Accepted: 08/29/2022] [Indexed: 01/25/2023]
Abstract
Introduction While it is generally appreciated that amyloid precedes symptomatic Alzheimer's disease (AD) by decades, a greater understanding of this timeline may increase prognostic accuracy, planning, and care of persons who are on the AD continuum. Methods We examined trajectories of Clinical Dementia Rating-Sum of Boxes (CDR-SB) relative to estimated years of amyloid positivity (A+) in n = 123 participants who were all A+ based on [C-11]Pittsburgh compound B positron emission tomography. Results The average amyloid chronicity at CDR-SB of 2.5 was 20.1 years. The average trajectory of CDR-SB accelerated after 10 years of elevated amyloid and varied greatly between 10 and 30 years. Exploratory analyses suggested that older age and higher volume of white matter hyperintensities shortened the interval between amyloid onset and cognitive impairment. Discussion The recontextualization of amyloid burden into the time domain will facilitate studies of disease progression, the influence of co-pathology, and factors that hasten or slow cognitive impairment.
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Affiliation(s)
- Alex C. Birdsill
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA,Geriatric Research Education and Clinical CenterWilliam S. Middleton Veterans HospitalMadisonWisconsinUSA
| | - Rebecca L. Koscik
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA,Wisconsin Alzheimer's InstituteUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Karly A. Cody
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA,Department of MedicineUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Erin M. Jonaitis
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA,Wisconsin Alzheimer's InstituteUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Robert V. Cadman
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA,Department of MedicineUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Claire M. Erickson
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA,Department of MedicineUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Nathaniel A. Chin
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA,Department of MedicineUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Robert J. Przybelski
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA,Department of MedicineUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Cynthia M. Carlsson
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA,Geriatric Research Education and Clinical CenterWilliam S. Middleton Veterans HospitalMadisonWisconsinUSA,Wisconsin Alzheimer's InstituteUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA,Department of MedicineUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Sanjay Asthana
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA,Geriatric Research Education and Clinical CenterWilliam S. Middleton Veterans HospitalMadisonWisconsinUSA,Department of MedicineUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Bradley T. Christian
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA,Waisman Laboratory for Brain Imaging and BehaviorUniversity of Wisconsin‐MadisonMadisonWisconsinUSA,Department of Medical PhysicsUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Laura B. Eisenmenger
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA,Department of RadiologyUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Tobey J. Betthauser
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA,Department of MedicineUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Sterling C. Johnson
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA,Geriatric Research Education and Clinical CenterWilliam S. Middleton Veterans HospitalMadisonWisconsinUSA,Wisconsin Alzheimer's InstituteUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA,Department of MedicineUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
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17
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Hammers DB, Suhrie K, Dixon A, Gradwohl BD, Archibald ZG, King JB, Spencer RJ, Duff K, Hoffman JM. Relationship between a novel learning slope metric and Alzheimer's disease biomarkers. NEUROPSYCHOLOGY, DEVELOPMENT, AND COGNITION. SECTION B, AGING, NEUROPSYCHOLOGY AND COGNITION 2022; 29:799-819. [PMID: 33952156 PMCID: PMC8568738 DOI: 10.1080/13825585.2021.1919984] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 04/18/2021] [Indexed: 01/07/2023]
Abstract
The Learning Ratio (LR) is a novel learning score examining the proportion of information learned over successive learning trials relative to information available to be learned. Validation is warranted to understand LR's sensitivity to Alzheimer's disease (AD) pathology. One-hundred twenty-three participants across the AD continuum underwent memory assessment, quantitative brain imaging, and genetic analysis. LR scores were calculated from the HVLT-R, BVMT-R, RBANS List Learning, and RBANS Story Memory, and compared to total hippocampal volumes,18F-Flutemetamol composite SUVR uptake, and APOE ε4 status. Lower LR scores were consistently associated with smaller total hippocampal volumes, greater cerebral β-amyloid deposition, and APOE ε4 positivity. This LR score outperformed a traditional learning slope calculation in all analyses. LR is sensitive to AD pathology along the AD continuum - more so than a traditional raw learning score - and reducing the competition between the first trial and subsequent trials can better depict learning capacity.
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Affiliation(s)
- Dustin B. Hammers
- Center for Alzheimer’s Care, Imaging, and Research, Department of Neurology, University of Utah, Salt Lake City, UT, USA
| | - Kayla Suhrie
- Center for Alzheimer’s Care, Imaging, and Research, Department of Neurology, University of Utah, Salt Lake City, UT, USA
| | - Ava Dixon
- Center for Alzheimer’s Care, Imaging, and Research, Department of Neurology, University of Utah, Salt Lake City, UT, USA
| | - Brian D. Gradwohl
- Mercy Health Hauenstein Neurosciences, Mercy Health, Muskegon, MI, USA
| | - Zane G. Archibald
- Center for Quantitative Cancer Imaging, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Jace B. King
- Utah Center for Advanced Imaging Research, Department of Radiology & Imaging Sciences, University of Utah, 729 Arapeen Drive, Salt Lake City, UT, USA
| | - Robert J. Spencer
- Mental Health Service, VA Ann Arbor Healthcare System, Ann Arbor MI, USA
- Michigan Medicine, Department of Psychiatry, Neuropsychology Section, Ann Arbor MI, USA
| | - Kevin Duff
- Center for Alzheimer’s Care, Imaging, and Research, Department of Neurology, University of Utah, Salt Lake City, UT, USA
| | - John M. Hoffman
- Center for Alzheimer’s Care, Imaging, and Research, Department of Neurology, University of Utah, Salt Lake City, UT, USA
- Center for Quantitative Cancer Imaging, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
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Rai H, Gupta S, Kumar S, Yang J, Singh SK, Ran C, Modi G. Near-Infrared Fluorescent Probes as Imaging and Theranostic Modalities for Amyloid-Beta and Tau Aggregates in Alzheimer's Disease. J Med Chem 2022; 65:8550-8595. [PMID: 35759679 DOI: 10.1021/acs.jmedchem.1c01619] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
A person suspected of having Alzheimer's disease (AD) is clinically diagnosed for the presence of principal biomarkers, especially misfolded amyloid-beta (Aβ) and tau proteins in the brain regions. Existing radiotracer diagnostic tools, such as PET imaging, are expensive and have limited availability for primary patient screening and pre-clinical animal studies. To change the status quo, small-molecular near-infrared (NIR) probes have been rapidly developed, which may serve as an inexpensive, handy imaging tool to comprehend the dynamics of pathogenic progression in AD and assess therapeutic efficacy in vivo. This Perspective summarizes the biochemistry of Aβ and tau proteins and then focuses on structurally diverse NIR probes with coverages of their spectroscopic properties, binding affinity toward Aβ and tau species, and theranostic effectiveness. With the summarized information and perspective discussions, we hope that this paper may serve as a guiding tool for designing novel in vivo imaging fluoroprobes with theranostic capabilities in the future.
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Affiliation(s)
- Himanshu Rai
- Department of Pharmaceutical Engineering & Technology, Indian Institute of Technology (BHU), Varanasi, U.P.-221005, India
| | - Sarika Gupta
- Molecular Science Laboratory, National Institute of Immunology, New Delhi-110067, India
| | - Saroj Kumar
- Department of Biophysics, All India Institute of Medical Sciences, New Delhi-110029, India
| | - Jian Yang
- School of Medicine, Shanghai University, Shanghai 200444, China
| | - Sushil K Singh
- Department of Pharmaceutical Engineering & Technology, Indian Institute of Technology (BHU), Varanasi, U.P.-221005, India
| | - Chongzhao Ran
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts 02129, United States
| | - Gyan Modi
- Department of Pharmaceutical Engineering & Technology, Indian Institute of Technology (BHU), Varanasi, U.P.-221005, India
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Predictive Scale for Amyloid PET Positivity Based on Clinical and MRI Variables in Patients with Amnestic Mild Cognitive Impairment. J Clin Med 2022; 11:jcm11123433. [PMID: 35743503 PMCID: PMC9224873 DOI: 10.3390/jcm11123433] [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: 04/11/2022] [Revised: 06/11/2022] [Accepted: 06/12/2022] [Indexed: 12/05/2022] Open
Abstract
The presence of amyloid-β (Aβ) deposition is considered important in patients with amnestic mild cognitive impairment (aMCI), since they can progress to Alzheimer’s disease dementia. Amyloid positron emission tomography (PET) has been used for detecting Aβ deposition, but its high cost is a significant barrier for clinical usage. Therefore, we aimed to develop a new predictive scale for amyloid PET positivity using easily accessible tools. Overall, 161 aMCI patients were recruited from six memory clinics and underwent neuropsychological tests, brain magnetic resonance imaging (MRI), apolipoprotein E (APOE) genotype testing, and amyloid PET. Among the potential predictors, verbal and visual memory tests, medial temporal lobe atrophy, APOE genotype, and age showed significant differences between the Aβ-positive and Aβ-negative groups and were combined to make a model for predicting amyloid PET positivity with the area under the curve (AUC) of 0.856. Based on the best model, we developed the new predictive scale comprising integers, which had an optimal cutoff score ≥ 3. The new predictive scale was validated in another cohort of 98 participants and showed a good performance with AUC of 0.835. This new predictive scale with accessible variables may be useful for predicting Aβ positivity in aMCI patients in clinical practice.
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20
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Hawksworth J, Fernández E, Gevaert K. A new generation of AD biomarkers: 2019 to 2021. Ageing Res Rev 2022; 79:101654. [PMID: 35636691 DOI: 10.1016/j.arr.2022.101654] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 05/17/2022] [Accepted: 05/25/2022] [Indexed: 12/14/2022]
Abstract
Alzheimer's disease (AD) is the most common form of dementia and cases are rising worldwide. The effort to fight this disease is hampered by a lack of disease-modifying treatments and the absence of an early, accurate diagnostic tool. Neuropathology begins years or decades before symptoms occur and, upon onset of symptoms, diagnosis can take a year or more. Such delays postpone treatment and make research into the early stages of the disease difficult. Ideally, clinicians require a minimally invasive test that can detect AD in its early stages, before cognitive symptoms occur. Advances in proteomic technologies have facilitated the study of promising biomarkers of AD. Over the last two years (2019-2021) studies have identified and validated many species which can be measured in cerebrospinal fluid (CSF), plasma, or in both fluids, and which have a high predictive value for AD. We herein discuss proteins which have been highlighted as promising biomarkers of AD in the last two years, and consider implications for future research within the research framework of the amyloid (A), tau (T), neurodegeneration (N) scoring system. We review recently identified species of amyloid and tau which may improve diagnosis when used in combination with current measures such as amyloid-beta-42 (Aβ42), total tau (t-tau) and phosphorylated tau (p-tau). In addition, several proteins have been identified as likely proxies for neurodegeneration, including neurofilament light (NfL), synaptosomal-associated protein 25 (SNAP-25) and neurogranin (NRGN). Finally, proteins originating from diverse processes such as neuroinflammation, lipid transport and mitochondrial dysfunction could aid in both AD diagnosis and patient stratification.
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Kim JS, Son HJ, Oh M, Lee DY, Kim HW, Oh J. 60 Years of Achievements by KSNM in Neuroimaging Research. Nucl Med Mol Imaging 2022; 56:3-16. [PMID: 35186156 PMCID: PMC8828843 DOI: 10.1007/s13139-021-00727-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 11/01/2021] [Accepted: 12/07/2021] [Indexed: 02/03/2023] Open
Abstract
Nuclear medicine neuroimaging is able to show functional and molecular biologic abnormalities in various neuropsychiatric diseases. Therefore, it has played important roles in the clinical diagnosis and in research on the normal and pathological states of the brain. More than 400 outstanding studies have been conducted by Korean researchers over the past 60 years. In the 1990s, when multiheaded single-photon emission computed tomography (SPECT) scanners were first introduced in South Korea, stroke research using brain perfusion SPECT was conducted. With the spread of positron emission tomography (PET) scanners in the 2000s, research on the clinical usefulness of PET and the evaluation of pathophysiology in various diseases such as epilepsy, brain tumors, degenerative brain diseases, and other neuropsychiatric diseases were actively conducted using [18F]FDG and various neuroreceptor tracers. In the 2010s, with the clinical application of new radiopharmaceuticals for amyloid and tau imaging, research demonstrating the clinical usefulness of PET imaging and the pathophysiology of dementia has increased rapidly. It is expected that the role of nuclear medicine will expand with the development of new radiopharmaceuticals and analysis technologies, along with the application of artificial intelligence for early and differential diagnosis, and the development of therapeutic agents for degenerative brain diseases.
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Affiliation(s)
- Jae Seung Kim
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Hye Joo Son
- Department of Nuclear Medicine, Dankook University College of Medicine, Cheonan, Republic of Korea
| | - Minyoung Oh
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Dong Yun Lee
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Hae Won Kim
- Department of Nuclear Medicine, Keimyung University Dongsan Hospital, Daegu, Republic of Korea
| | - Jungsu Oh
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
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22
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Galasko DR, Grill JD, Lingler JH, Heidebrink JL. A Blood Test for Alzheimer's Disease: It's about Time or Not Ready for Prime Time? J Alzheimers Dis 2022; 90:963-966. [PMID: 35147543 DOI: 10.3233/jad-215490] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
A blood test for Alzheimer's disease is now available for clinical use in persons with cognitive impairment. This is an extraordinary milestone, though the amyloid-based PrecivityAD™ test is not without limitations. Pre and post-test counseling are essential. Phosphorylated tau blood tests are likely to follow soon. When used in conjunction with an appropriate clinical evaluation, blood tests provide the opportunity for an early, accurate, and accessible diagnosis of Alzheimer's disease. Standalone use, however, carries a significant risk of misinterpretation and is strongly discouraged. Now is the time to develop appropriate use criteria to guide the use of these promising assays.
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Affiliation(s)
- Douglas R Galasko
- Department of Neurosciences, University of California San Diego, La Jolla, CA, USA
| | - Joshua D Grill
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
| | - Jennifer H Lingler
- Department of Health and Community Systems, University of Pittsburgh School of Nursing, Pittsburgh, PA, USA
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Mozersky J, Roberts JS, Rumbaugh M, Chhatwal J, Wijsman E, Galasko D, Blacker D. Spillover: The Approval of New Medications for Alzheimer's Disease Dementia Will Impact Biomarker Disclosure Among Asymptomatic Research Participants. J Alzheimers Dis 2022; 90:1035-1043. [PMID: 35404285 PMCID: PMC9794032 DOI: 10.3233/jad-220113] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
In this article we address how the recent, and anticipated upcoming, FDA approvals of novel anti-amyloid medications to treat individuals with mild Alzheimer's disease (AD) dementia could impact disclosure of biomarker results among asymptomatic research participants. Currently, research is typically the context where an asymptomatic individual may have the option to learn their amyloid biomarker status. Asymptomatic research participants who learn their amyloid status may have questions regarding the meaning of this result and the implications for accessing a potential intervention. After outlining our rationale, we provide examples of how current educational materials used in research convey messages regarding amyloid positivity and the availability of treatments, or lack thereof. We suggest language to improve messaging, as well as strengths of current materials, in addressing these issues for research participants. Although novel medications are currently only approved for use among symptomatic individuals, their availability may have implications for disclosure among asymptomatic research participants with evidence of amyloid deposition, who may be especially interested in information on these interventions for potential prevention, or future treatment, of mild cognitive impairment or dementia due to AD.
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Affiliation(s)
- Jessica Mozersky
- Bioethics Research Center, Division of General Medical Sciences, Washington University School of Medicine, St. Louis, MO, USA
| | - J. Scott Roberts
- Department of Health Behavior & Health Education, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Malia Rumbaugh
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Jasmeer Chhatwal
- Massachusetts General Hospital and Brigham and Women’s Hospitals, Harvard Medical School, Boston, MA, USA
| | - Ellen Wijsman
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Douglas Galasko
- Department of Neurosciences and ADRC, University of California San Diego, San Diego, CA, USA
| | - Deborah Blacker
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
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Slegers A, Chafouleas G, Montembeault M, Bedetti C, Welch AE, Rabinovici GD, Langlais P, Gorno-Tempini ML, Brambati SM. Connected speech markers of amyloid burden in primary progressive aphasia. Cortex 2021; 145:160-168. [PMID: 34731686 DOI: 10.1016/j.cortex.2021.09.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 05/16/2021] [Accepted: 09/26/2021] [Indexed: 11/29/2022]
Abstract
INTRODUCTION Positron emission tomography (PET) amyloid imaging has become an important part of the diagnostic workup for patients with primary progressive aphasia (PPA) and uncertain underlying pathology. Here, we employ a semi-automated analysis of connected speech (CS) with a twofold objective. First, to determine if quantitative CS features can help select primary progressive aphasia (PPA) patients with a higher probability of a positive PET amyloid imaging result. Second, to examine the relevant group differences from a clinical perspective. METHODS 117 CS samples from a well-characterised cohort of PPA patients who underwent PET amyloid imaging were collected. Expert consensus established PET amyloid status for each patient, and 40% of the sample was amyloid positive. RESULTS Leave-one-out cross-validation yields 77% classification accuracy (sensitivity: 74%, specificity: 79%). DISCUSSION Our results confirm the potential of CS analysis as a screening tool. Discriminant CS features from lexical, syntactic, pragmatic, and semantic domains are discussed.
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Affiliation(s)
- Antoine Slegers
- Department of Psychology, Université de Montréal, Canada; Centre de Recherche de L'Institut Universitaire de Gériatrie de Montréal (CRIUGM), Montréal, Canada
| | - Geneviève Chafouleas
- Department of Computer Science and Operational Research, Université de Montréal, Montréal, Canada
| | - Maxime Montembeault
- Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Christophe Bedetti
- Department of Psychology, Université de Montréal, Canada; Centre de Recherche de L'Institut Universitaire de Gériatrie de Montréal (CRIUGM), Montréal, Canada
| | - Ariane E Welch
- Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Gil D Rabinovici
- Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Philippe Langlais
- Department of Computer Science and Operational Research, Université de Montréal, Montréal, Canada
| | - Maria L Gorno-Tempini
- Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Simona M Brambati
- Department of Psychology, Université de Montréal, Canada; Centre de Recherche de L'Institut Universitaire de Gériatrie de Montréal (CRIUGM), Montréal, Canada; Centre de recherche du Centre intégré universitaire de santé et de services sociaux du Nord-de-l'Île-de-Montréal, Montréal, Québec, Canada.
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25
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Mozersky J, Hartz S, Linnenbringer E, Levin L, Streitz M, Stock K, Moulder K, Morris JC. Communicating 5-Year Risk of Alzheimer's Disease Dementia: Development and Evaluation of Materials that Incorporate Multiple Genetic and Biomarker Research Results. J Alzheimers Dis 2021; 79:559-572. [PMID: 33337371 DOI: 10.3233/jad-200993] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Cognitively normal (CN) older adults participating in Alzheimer's disease (AD) research increasingly ask for their research results-including genetic and neuroimaging findings-to understand their risk of developing AD dementia. AD research results are typically not returned for multiple reasons, including possible psychosocial harms of knowing one is at risk of a highly feared and untreatable disease. OBJECTIVE We developed materials that convey information about 5-year absolute risk of developing AD dementia based on research results. METHODS 20 CN older adults who received a research brain MRI result were interviewed regarding their wishes for research results to inform material development (Pilot 1). Following material development, 17 CN older adults evaluated the materials for clarity and acceptability (Pilot 2). All participants were community-dwelling older adults participating in longitudinal studies of aging at a single site. RESULTS Participants want information on their risk of developing AD dementia to better understand their own health, satisfy curiosity, inform family, and future planning. Some articulated concerns, but the majority wanted to know their risk despite the limitations of information. Participants found the educational materials and results report clear and acceptable, and the majority would want to know their research results after reviewing them. CONCLUSION These materials will be used in a clinical study examining the psychosocial and cognitive effects of offering research results to a cohort of CN older adults. Future AD research may incorporate the return of complex risk information to CN older adults, and materials are needed to communicate this information.
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Affiliation(s)
- Jessica Mozersky
- Bioethics Research Center, Division of General Medical Sciences, Washington University School of Medicine, St. Louis, MO, USA
| | - Sarah Hartz
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | - Erin Linnenbringer
- Department of Surgery, Division of Public Health Sciences, Washington University School of Medicine, St. Louis, MO, USA
| | - Lillie Levin
- Bioethics Research Center, Division of General Medical Sciences, Washington University School of Medicine, St. Louis, MO, USA
| | - Marissa Streitz
- Department of Neurology, Washington University School of Medicine, St. Louis, MO; and Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Kristin Stock
- Washington University Danforth College of Arts and Sciences (post-baccalaureate program) and Music Speaks, LLC
| | - Krista Moulder
- Department of Neurology, Washington University School of Medicine, St. Louis, MO; and Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - John C Morris
- Department of Neurology, Washington University School of Medicine, St. Louis, MO; and Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
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Joo SH, Lee CU. Cerebral Amyloid Positivity Prediction Models Using Clinical Data in Subjects With Mild Cognitive Impairment and Dementia. Psychiatry Investig 2021; 18:864-870. [PMID: 34500505 PMCID: PMC8473862 DOI: 10.30773/pi.2021.0104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Accepted: 07/07/2021] [Indexed: 11/27/2022] Open
Abstract
OBJECTIVE Due to high cost of amyloid imaging, its use of amyloid imaging to confirm amyloid pathology is limited in clinical practice. It is of importance to develop a model to predict cerebral amyloid positivity using clinical data obtained from a memory clinic. METHODS A total of 410 participants who had symptom of subjective cognitive decline and underwent amyloid PET and apolipoprotein ε (APOE) genotyping were retrospectively enrolled from January 2016 to January 2019. Models for cerebral amyloid positivity prediction were developed in all subjects, mild cognitive impairment (MCI) subjects, and Alzheimer's disease (AD) dementia subjects through multivariate logistic regression analysis. The performance of the models was assessed using receiver operating characteristic (ROC) curve analysis and the area under the curve (AUC) values. RESULTS Age, sex, years of education, body mass index (BMI), APOE4, and mini mental state examination score (MMSE) were selected for the final model for all subjects. The AUC value of the ROC curve was 0.775. Age, sex, years of education, BMI, and APOE4 were selected for the final model for MCI subjects. The AUC value was 0.735. Age, sex, years of education, BMI, APOE4, MMSE, and history of hypertension were selected for the final model for AD dementia subjects. The AUC value was 0.845. CONCLUSION This study found that models using clinical data can predict cerebral amyloid positivity according to cognitive status. These models can be useful as a screening tool predict cerebral amyloid deposition in cognitively impaired patients in a memory clinic.
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Affiliation(s)
- Soo Hyun Joo
- Department of Psychiatry, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Chang Uk Lee
- Department of Psychiatry, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
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Wang H, Han X, Gao S. Identification of potential biomarkers for pathogenesis of Alzheimer's disease. Hereditas 2021; 158:23. [PMID: 34225819 PMCID: PMC8259215 DOI: 10.1186/s41065-021-00187-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Accepted: 05/31/2021] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Alzheimer's disease (AD) is an extremely complicated neurodegenerative disorder, which accounts for almost 80 % of all dementia diagnoses. Due to the limited treatment efficacy, it is imperative for AD patients to take reliable prevention and diagnosis measures. This study aimed to explore potential biomarkers for AD. METHODS GSE63060 and GSE140829 datasets were downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEG) between AD and control groups in GSE63060 were analyzed using the limma software package. The mRNA expression data in GSE140829 was analyzed using weighted gene co-expression network analysis (WGCNA) function package. Protein functional connections and interactions were analyzed using STRING and key genes were screened based on the degree and Maximal Clique Centrality (MCC) algorithm. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed on the key genes. RESULTS There were 65 DEGs in GSE63060 dataset between AD patients and healthy controls. In GSE140829 dataset, the turquoise module was related to the pathogenesis of AD, among which, 42 genes were also differentially expressed in GSE63060 dataset. Then 8 genes, RPS17, RPL26, RPS3A, RPS25, EEF1B2, COX7C, HINT1 and SNRPG, were finally screened. Additionally, these 42 genes were significantly enriched in 12 KEGG pathways and 119 GO terms. CONCLUSIONS In conclusion, RPS17, RPL26, RPS3A, RPS25, EEF1B2, COX7C, HINT1 and SNRPG, were potential biomarkers for pathogenesis of AD, which should be further explored in AD in the future.
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Affiliation(s)
- Huimin Wang
- Department of Neurology, Tianjin Hospital of ITCWM Nankai Hospital, 300100, Tianjin, China
| | - Xiujiang Han
- Department of Geriatrics, Tianjin Hospital of ITCWM Nankai Hospital, No.6 Changjiang Road, Nankai, 300100, Tianjin, China
| | - Sheng Gao
- Department of Geriatrics, Tianjin Hospital of ITCWM Nankai Hospital, No.6 Changjiang Road, Nankai, 300100, Tianjin, China.
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Frederiksen KS, Nielsen TR, Winblad B, Schmidt R, Kramberger MG, Jones RW, Hort J, Grimmer T, Georges J, Frölich L, Engelborghs S, Dubois B, Waldemar G. European Academy of Neurology/European Alzheimer's Disease Consortium position statement on diagnostic disclosure, biomarker counseling, and management of patients with mild cognitive impairment. Eur J Neurol 2021; 28:2147-2155. [PMID: 33368924 PMCID: PMC8246881 DOI: 10.1111/ene.14668] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 11/30/2020] [Accepted: 12/01/2020] [Indexed: 01/12/2023]
Abstract
BACKGROUND AND PURPOSE Careful counseling through the diagnostic process and adequate postdiagnostic support in patients with mild cognitive impairment (MCI) is important. Previous studies have indicated heterogeneity in practice and the need for guidance for clinicians. METHODS A joint European Academy of Neurology/European Alzheimer's Disease Consortium panel of dementia specialists was appointed. Through online meetings and emails, positions were developed regarding disclosing a syndrome diagnosis of MCI, pre- and postbiomarker sampling counseling, and postdiagnostic support. RESULTS Prior to diagnostic evaluation, motives and wishes of the patient should be sought. Diagnostic disclosure should be carried out by a dementia specialist taking the ethical principles of "the right to know" versus "the wish not to know" into account. Disclosure should be accompanied by written information and a follow-up plan. It should be made clear that MCI is not dementia. Prebiomarker counseling should always be carried out if biomarker sampling is considered and postbiomarker counseling if sampling is carried out. A dementia specialist knowledgeable about biomarkers should inform about pros and cons, including alternatives, to enable an autonomous and informed decision. Postbiomarker counseling will depend in part on the results of biomarkers. Follow-up should be considered for all patients with MCI and include brain-healthy advice and possibly treatment for specific underlying causes. Advice on advance directives may be relevant. CONCLUSIONS Guidance to clinicians on various aspects of the diagnostic process in patients with MCI is presented here as position statements. Further studies are needed to enable more evidence-based and standardized recommendations in the future.
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Affiliation(s)
| | - T. Rune Nielsen
- Department of NeurologyDanish Dementia Research CentreRigshospitaletCopenhagenDenmark
| | - Bengt Winblad
- Division of NeurogeriatricsDepartment of Neurobiology, Care Sciences and SocietyCenter for Alzheimer ResearchKarolinska InstituteSolnaSweden
- Theme AgingKarolinska University HospitalStockholmSweden
| | | | - Milica G. Kramberger
- Department of NeurologyCenter for Cognitive ImpairmentsUniversity Medical CentreLjubljanaSlovenia
| | - Roy W. Jones
- RICE (The Research Institute for the Care of Older People)Royal United HospitalBath and University of BristolBristolUK
| | - Jakub Hort
- Department of NeurologyCognitive CenterSecond Faculty of Medicine and Motol University HospitalCharles UniversityPragueCzech Republic
| | - Timo Grimmer
- Department of Psychiatry and PsychotherapySchool of MedicineRechts der Isar HospitalTechnical University of MunichMunichGermany
| | | | - Lutz Frölich
- Department of Geriatric PsychiatryUniversity of HeidelbergMannheimGermany
| | - Sebastiaan Engelborghs
- Department of Neurology and Center for NeurosciencesUZ Brussel and Free University of Brussels (VUBBrusselsBelgium
- Reference Center for Biological Markers of Dementia (BIODEM)Institute Born‐BungeUniversity of AntwerpAntwerpBelgium
| | - Bruno Dubois
- Department of NeurologyDementia Research CenterSalpêtrière HospitalSorbonne UniversityParisFrance
| | - Gunhild Waldemar
- Department of NeurologyDanish Dementia Research CentreRigshospitaletCopenhagenDenmark
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Roteta Unceta Barrenechea A, Aibar Arregui MA, Nogueira Souto D, Melero Polo J, Moreno Gázquez I, Tardin Cardoso L, Saker Diffalah Y, Andrés Gracia A. Cardiac Transthyretin Amyloidosis: A Nuclear Medicine Leading Role. Situation in a Spanish Center and "State of the Art" in Nuclear Medicine. Clin Nucl Med 2021; 46:456-464. [PMID: 33630805 DOI: 10.1097/rlu.0000000000003553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE Amyloidosis is a heterogeneous group of diseases caused by abnormal extracellular deposition of insoluble proteins and can involve myocardium. One of the causes of myocardial involvement is TTR amyloidosis. Our objective has been to evaluate the situation of cardiac amyloidosis (CA) in our center and the role of nuclear medicine, and to review the state of the art of nuclear medicine in this entity. PATIENTS AND METHODS We have evaluated retrospectively 186 patients with clinical suspicion of CA and analyzed the clinical characteristics, free light chains and immunofixation in serum and/or urine, and the most relevant biomarkers associated with transthyretin CA (C-ATTR) of these patients and compared them with the results of the 99mTc-DPD scintigraphy. RESULTS We have verified the growing bibliographic evidence concerning C-ATTR. A total of 51 scintigraphies (27.4%) were positive, 2 (1.1%) indeterminate and 133 (71.5%) negative according to the Perugini score. ATTR was diagnosed in 22 (11.8%; 77.3% males; mean age, 79.4 years). Of these, 12 (75% men; 82.3 years) were ATTRwt (wild-type or age-associated) patients, 2 (50% men; 52 years) experienced ATTRv (variant or hereditary), and 8 (87.5% men; 82.3 years) were not classified because of the absence genetic test. The origin of amyloidosis could not be determined in 31 (16.7%; 80.7% males; 84.5 years). In 29 of them (93.6%), it was because there was no study of free light chains or immunofixation. CONCLUSIONS Nuclear medicine is playing an increasing role in the diagnosis and classification of CA. However, the monitoring of these is still patchy.
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Affiliation(s)
| | | | - Daniel Nogueira Souto
- From the Department of Nuclear Medicine, UCMHMNA (Multihospital Nuclear Medicine Clinical Unit of Aragon)
| | | | - Inmaculada Moreno Gázquez
- Clinical Analysis, Lozano Blesa University Clinical Hospital-Zaragoza, Instituto de Investigación Sanitaria Aragón, Zaragoza, Spain
| | - Leticia Tardin Cardoso
- From the Department of Nuclear Medicine, UCMHMNA (Multihospital Nuclear Medicine Clinical Unit of Aragon)
| | - Yasmina Saker Diffalah
- From the Department of Nuclear Medicine, UCMHMNA (Multihospital Nuclear Medicine Clinical Unit of Aragon)
| | - Alejandro Andrés Gracia
- From the Department of Nuclear Medicine, UCMHMNA (Multihospital Nuclear Medicine Clinical Unit of Aragon)
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Relationship between F-18 florbetapir uptake in occipital lobe and neurocognitive performance in Alzheimer's disease. Jpn J Radiol 2021; 39:984-993. [PMID: 34019227 DOI: 10.1007/s11604-021-01132-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 05/05/2021] [Indexed: 12/14/2022]
Abstract
PURPOSE To determine the association between occipital amyloid-PET uptake and neurocognitive performance in Alzheimer's disease (AD). MATERIALS AND METHODS Fifty-eight participants with normal aged, mild cognitive impairment (MCI) due to AD and AD subjects who underwent F-18 florbetapir brain PET/CT scans were divided into four groups (A, normal; B, MCI; C, mild AD; and D, moderate/severe AD). Semiquantitative analyses of SUVR images were performed. The differences between groups and the correlations between florbetapir uptake and Thai Mental State Examination (TMSE) scores were determined. Significant differences were defined using a P < 0.001, uncorrected, or a P < 0.05, FWE for the voxel-based analyses with Statistical Parametric Mapping (SPM). RESULTS There was a slightly higher florbetapir uptake in the precuneus, parietal, and occipital association cortices in Group B > A. The occipital florbetapir uptake in Groups C and D was significantly higher than in Group A, in addition to the precuneus, anterior cingulate, posterior cingulate, temporoparietal, and frontal cortices. There was a strong negative correlation between TMSE scores and florbetapir uptake in the occipital lobe. CONCLUSIONS Occipital amyloid uptake is associated with clinically advanced AD, and is inversely correlated with neurocognitive performance and may be useful for evaluating AD severity.
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Knopman DS, Amieva H, Petersen RC, Chételat G, Holtzman DM, Hyman BT, Nixon RA, Jones DT. Alzheimer disease. Nat Rev Dis Primers 2021; 7:33. [PMID: 33986301 PMCID: PMC8574196 DOI: 10.1038/s41572-021-00269-y] [Citation(s) in RCA: 697] [Impact Index Per Article: 232.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/09/2021] [Indexed: 12/21/2022]
Abstract
Alzheimer disease (AD) is biologically defined by the presence of β-amyloid-containing plaques and tau-containing neurofibrillary tangles. AD is a genetic and sporadic neurodegenerative disease that causes an amnestic cognitive impairment in its prototypical presentation and non-amnestic cognitive impairment in its less common variants. AD is a common cause of cognitive impairment acquired in midlife and late-life but its clinical impact is modified by other neurodegenerative and cerebrovascular conditions. This Primer conceives of AD biology as the brain disorder that results from a complex interplay of loss of synaptic homeostasis and dysfunction in the highly interrelated endosomal/lysosomal clearance pathways in which the precursors, aggregated species and post-translationally modified products of Aβ and tau play important roles. Therapeutic endeavours are still struggling to find targets within this framework that substantially change the clinical course in persons with AD.
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Affiliation(s)
| | - Helene Amieva
- Inserm U1219 Bordeaux Population Health Center, University of Bordeaux, Bordeaux, France
| | | | - Gäel Chételat
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - David M Holtzman
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Bradley T Hyman
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Ralph A Nixon
- Departments of Psychiatry and Cell Biology, New York University Langone Medical Center, New York University, New York, NY, USA
- NYU Neuroscience Institute, New York University Langone Medical Center, New York University, New York, NY, USA
| | - David T Jones
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
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Robinson RL, Rentz DM, Andrews JS, Zagar A, Kim Y, Bruemmer V, Schwartz RL, Ye W, Fillit HM. Costs of Early Stage Alzheimer's Disease in the United States: Cross-Sectional Analysis of a Prospective Cohort Study (GERAS-US)1. J Alzheimers Dis 2021; 75:437-450. [PMID: 32250304 PMCID: PMC7306889 DOI: 10.3233/jad-191212] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
BACKGROUND Costs associated with early stages of Alzheimer's disease (AD; mild cognitive impairment [MCI] and mild dementia [MILD]) are understudied. OBJECTIVE To compare costs associated with MCI and MILD due to AD in the United States. METHODS Data included baseline patient/study partner medical history, healthcare resource utilization, and outcome assessments as part of a prospective cohort study. Direct, indirect, and total societal costs were derived by applying standardized unit costs to resources for the 1-month pre-baseline period (USD2017). Costs/month for MCI and MILD cohorts were compared using analysis of variance models. To strengthen the confidence of diagnosis, amyloid-β (Aβ) tests were included and analyses were replicated stratifying within each cohort by amyloid status [+ /-]. RESULTS Patients (N = 1327) with MILD versus MCI had higher total societal costs/month ($4243 versus $2816; p < 0.001). These costs were not significantly different within each severity cohort by amyloid status. The largest fraction of overall costs were informal caregiver costs (45.1%) for the MILD cohort, whereas direct medical patient costs were the largest for the MCI cohort (39.0%). Correspondingly, caregiver time spent on basic activities of daily living (ADLs), instrumental ADLs, and supervision time was twice as high for MILD versus MCI (all p < 0.001). CONCLUSION Early AD poses a financial burden, and despite higher functioning among those with MCI, caregivers were significantly impacted. The major cost driver was the patient's clinical cognitive-functional status and not amyloid status. Differences were primarily due to rising need for caregiver support.
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Affiliation(s)
| | - Dorene M Rentz
- Harvard Medical School, Boston, MA, USA.,Department of Neurology, Brigham and Women's Hospital, Massachusetts General Hospital, Boston, MA, USA
| | | | | | - Yongin Kim
- Eli Lilly and Company, Indianapolis, IN, USA
| | | | | | - Wenyu Ye
- Eli Lilly and Company, Indianapolis, IN, USA
| | - Howard M Fillit
- Geriatric Medicine, Palliative Care and Neuroscience, The Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Alzheimer's Drug Discovery Foundation, New York, NY, USA
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Lohmeyer JL, Alpinar-Sencan Z, Schicktanz S. Attitudes towards prediction and early diagnosis of late-onset dementia: a comparison of tested persons and family caregivers. Aging Ment Health 2021; 25:832-843. [PMID: 32091238 DOI: 10.1080/13607863.2020.1727851] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Background: The focus on early detection of dementia and Mild Cognitive Impairment (MCI) diagnosis has entered the clinics' daily routine. However, there exist epistemic uncertainty and moral concerns whether early detection and prediction of dementia is clinically meaningful for the people affected, primarily due to the lack of effective treatment options.Methods: In this study, we adopted qualitative research methods. Twelve face-to-face interviews with tested persons with MCI and early dementia and five focus groups with family caregivers were conducted in Germany in order to explore and analyze their understanding and assessments of early detection and prediction of dementia in memory clinics.Results: Our study revealed that there was much uncertainty among the participants diagnosed with MCI especially when compared to the participants with an early dementia diagnosis. Their uncertainty concerned the meaning of a 'MCI' diagnosis as well as the validity of specific biomarker test results. Moreover, we identified different lines of moral issues for and against the tests among the participants. They include a) inter-familiar conflicts of interest in the initial phase of memory problems, b) the hope for (future) therapy and prevention, c) the desire for easier access to experts in memory clinics, d) advance planning, e) stigmatization, as well as, f) suicide as an option to avoid the future loss of self-determination.Conclusions: Current clinical and communication strategies only partly address the perspectives and needs of the affected. A standardized and ethically reflected procedure of the information provided by professionals before testing and afterwards, during disclosure, seems necessary. Further, longitudinal studies are needed to improve our knowledge about the experiences tested persons and family caregivers have with different levels of stigma.
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Affiliation(s)
- Johann Leopold Lohmeyer
- Department of Medical Ethics and History of Medicine, University Medical Center Göttingen, Göttingen, Germany
| | - Zümrüt Alpinar-Sencan
- Department of Medical Ethics and History of Medicine, University Medical Center Göttingen, Göttingen, Germany
| | - Silke Schicktanz
- Department of Medical Ethics and History of Medicine, University Medical Center Göttingen, Göttingen, Germany
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Chung JK, Jang JW. Comprehensive Visual Rating Scale on Magnetic Resonance Imaging: Application to Prodromal Alzheimer Disease. Ann Geriatr Med Res 2021; 25:39-44. [PMID: 33715339 PMCID: PMC8024168 DOI: 10.4235/agmr.21.0010] [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: 01/17/2021] [Accepted: 03/08/2021] [Indexed: 12/03/2022] Open
Abstract
Background A comprehensive visual rating scale (CVRS) using brain magnetic resonance imaging (MRI) was previously developed to evaluate structural changes in the brains of older patients. This study investigated the usefulness of the CVRS in predicting dementia with Alzheimer disease (AD) in patients with prodromal AD. Methods We included 189 patients with prodromal AD with available data from the Alzheimer’s Disease Neuroimaging Initiative study. We evaluated all patients using CVRS and assessed their progression to AD dementia over 3 years of longitudinal follow-up. Survival analysis was performed using the Cox proportional hazards model to analyze the hazard ratios of the CVRS for progression to AD dementia. Results Among 189 patients with prodromal AD, 61 (32.3%) progressed to dementia. The mean baseline CVRS scores differed significantly between the stable and progressive groups (9.9±5.1 vs. 12.4±4.9; p=0.002). An initial high CVRS score was an independent risk factor for the progression to AD dementia (hazard ratio=1.110; 95% confidence interval, 1.043–1.182). Conclusion The baseline CVRS score predicted the progression to dementia in patients with prodromal AD, indicating its independent association with longitudinal cognitive decline.
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Affiliation(s)
- Jae Kyung Chung
- Department of Neurology, Kangwon National University Hospital, Chuncheon, Korea
| | - Jae-Won Jang
- Department of Neurology, Kangwon National University Hospital, Chuncheon, Korea.,Department of Neurology, Kangwon National University College of Medicine, Chuncheon, Korea
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Barthel H. First Tau PET Tracer Approved: Toward Accurate In Vivo Diagnosis of Alzheimer Disease. J Nucl Med 2021; 61:1409-1410. [PMID: 33004646 DOI: 10.2967/jnumed.120.252411] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Accepted: 06/30/2020] [Indexed: 11/16/2022] Open
Affiliation(s)
- Henryk Barthel
- Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany
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Therriault J, Pascoal TA, Benedet AL, Tissot C, Savard M, Chamoun M, Lussier F, Kang MS, Berzgin G, Wang T, Fernandes-Arias J, Massarweh G, Soucy JP, Vitali P, Saha-Chaudhuri P, Gauthier S, Rosa-Neto P. Frequency of Biologically Defined Alzheimer Disease in Relation to Age, Sex, APOE ε4, and Cognitive Impairment. Neurology 2021; 96:e975-e985. [PMID: 33443136 PMCID: PMC8055338 DOI: 10.1212/wnl.0000000000011416] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 10/08/2020] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVE To assess the frequency of biologically defined Alzheimer disease (AD) in relation to age, sex, APOE ε4, and clinical diagnosis in a prospective cohort study evaluated with amyloid-PET and tau-PET. METHODS We assessed cognitively unimpaired (CU) elderly (n = 166), patients with amnestic mild cognitive impairment (n = 77), and patients with probable AD dementia (n = 62) who underwent evaluation by dementia specialists and neuropsychologists in addition to amyloid-PET with [18F]AZD4694 and tau-PET with [18F]MK6240. Individuals were grouped according to their AD biomarker profile. Positive predictive value for biologically defined AD was assessed in relation to clinical diagnosis. Frequency of AD biomarker profiles was assessed using logistic regressions with odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS The clinical diagnosis of probable AD dementia demonstrated good agreement with biologically defined AD (positive predictive value 85.2%). A total of 7.88% of CU were positive for both amyloid-PET and tau-PET. Frequency of biologically defined AD increased with age (OR 1.14; p < 0.0001) and frequency of APOE ε4 allele carriers (single ε4: OR 3.82; p < 0.0001; double ε4: OR 17.55, p < 0.0001). CONCLUSION Whereas we observed strong, but not complete, agreement between clinically defined probable AD dementia and biomarker positivity for both β-amyloid and tau, we also observed that biologically defined AD was not rare in CU elderly. Abnormal tau-PET was almost exclusively observed in individuals with abnormal amyloid-PET. Our results highlight that even in tertiary care memory clinics, detailed evaluation by dementia specialists systematically underestimates the frequency of biologically defined AD and related entities. CLASSIFICATION OF EVIDENCE This study provides Class I evidence that biologically defined AD (abnormal amyloid PET and tau PET) was observed in 85.2% of people with clinically defined AD and 7.88% of CU elderly.
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Affiliation(s)
- Joseph Therriault
- From the Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital (J.T., T.A.P., A.L.B., C.T., M.S., M.C., F.L., M.S.K., G.B., T.W., J.F.-A., S.G., P.R.-N.), and the Departments of Neurology and Neurosurgery (J.T., T.A.P., A.L.B., C.T., M.C., F.L., M.S.K., G.B., T.W., J.F.-A., J.-P.S., P.V., S.G., P.R.-N.), Psychiatry (S.G., P.R.-N.), Radiochemistry (G.M.), and Epidemiology and Biostatistics (P.S.-C.), McGill University, Montreal; and Montreal Neurological Institute (J.T., T.A.P., A.L.B., C.T., F.L., M.S.K., G.B., T.W., J.F.-A., G.M., J.-P.S., P.R.-N.), Canada
| | - Tharick A Pascoal
- From the Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital (J.T., T.A.P., A.L.B., C.T., M.S., M.C., F.L., M.S.K., G.B., T.W., J.F.-A., S.G., P.R.-N.), and the Departments of Neurology and Neurosurgery (J.T., T.A.P., A.L.B., C.T., M.C., F.L., M.S.K., G.B., T.W., J.F.-A., J.-P.S., P.V., S.G., P.R.-N.), Psychiatry (S.G., P.R.-N.), Radiochemistry (G.M.), and Epidemiology and Biostatistics (P.S.-C.), McGill University, Montreal; and Montreal Neurological Institute (J.T., T.A.P., A.L.B., C.T., F.L., M.S.K., G.B., T.W., J.F.-A., G.M., J.-P.S., P.R.-N.), Canada
| | - Andrea L Benedet
- From the Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital (J.T., T.A.P., A.L.B., C.T., M.S., M.C., F.L., M.S.K., G.B., T.W., J.F.-A., S.G., P.R.-N.), and the Departments of Neurology and Neurosurgery (J.T., T.A.P., A.L.B., C.T., M.C., F.L., M.S.K., G.B., T.W., J.F.-A., J.-P.S., P.V., S.G., P.R.-N.), Psychiatry (S.G., P.R.-N.), Radiochemistry (G.M.), and Epidemiology and Biostatistics (P.S.-C.), McGill University, Montreal; and Montreal Neurological Institute (J.T., T.A.P., A.L.B., C.T., F.L., M.S.K., G.B., T.W., J.F.-A., G.M., J.-P.S., P.R.-N.), Canada
| | - Cecile Tissot
- From the Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital (J.T., T.A.P., A.L.B., C.T., M.S., M.C., F.L., M.S.K., G.B., T.W., J.F.-A., S.G., P.R.-N.), and the Departments of Neurology and Neurosurgery (J.T., T.A.P., A.L.B., C.T., M.C., F.L., M.S.K., G.B., T.W., J.F.-A., J.-P.S., P.V., S.G., P.R.-N.), Psychiatry (S.G., P.R.-N.), Radiochemistry (G.M.), and Epidemiology and Biostatistics (P.S.-C.), McGill University, Montreal; and Montreal Neurological Institute (J.T., T.A.P., A.L.B., C.T., F.L., M.S.K., G.B., T.W., J.F.-A., G.M., J.-P.S., P.R.-N.), Canada
| | - Melissa Savard
- From the Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital (J.T., T.A.P., A.L.B., C.T., M.S., M.C., F.L., M.S.K., G.B., T.W., J.F.-A., S.G., P.R.-N.), and the Departments of Neurology and Neurosurgery (J.T., T.A.P., A.L.B., C.T., M.C., F.L., M.S.K., G.B., T.W., J.F.-A., J.-P.S., P.V., S.G., P.R.-N.), Psychiatry (S.G., P.R.-N.), Radiochemistry (G.M.), and Epidemiology and Biostatistics (P.S.-C.), McGill University, Montreal; and Montreal Neurological Institute (J.T., T.A.P., A.L.B., C.T., F.L., M.S.K., G.B., T.W., J.F.-A., G.M., J.-P.S., P.R.-N.), Canada
| | - Mira Chamoun
- From the Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital (J.T., T.A.P., A.L.B., C.T., M.S., M.C., F.L., M.S.K., G.B., T.W., J.F.-A., S.G., P.R.-N.), and the Departments of Neurology and Neurosurgery (J.T., T.A.P., A.L.B., C.T., M.C., F.L., M.S.K., G.B., T.W., J.F.-A., J.-P.S., P.V., S.G., P.R.-N.), Psychiatry (S.G., P.R.-N.), Radiochemistry (G.M.), and Epidemiology and Biostatistics (P.S.-C.), McGill University, Montreal; and Montreal Neurological Institute (J.T., T.A.P., A.L.B., C.T., F.L., M.S.K., G.B., T.W., J.F.-A., G.M., J.-P.S., P.R.-N.), Canada
| | - Firoza Lussier
- From the Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital (J.T., T.A.P., A.L.B., C.T., M.S., M.C., F.L., M.S.K., G.B., T.W., J.F.-A., S.G., P.R.-N.), and the Departments of Neurology and Neurosurgery (J.T., T.A.P., A.L.B., C.T., M.C., F.L., M.S.K., G.B., T.W., J.F.-A., J.-P.S., P.V., S.G., P.R.-N.), Psychiatry (S.G., P.R.-N.), Radiochemistry (G.M.), and Epidemiology and Biostatistics (P.S.-C.), McGill University, Montreal; and Montreal Neurological Institute (J.T., T.A.P., A.L.B., C.T., F.L., M.S.K., G.B., T.W., J.F.-A., G.M., J.-P.S., P.R.-N.), Canada
| | - Min Su Kang
- From the Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital (J.T., T.A.P., A.L.B., C.T., M.S., M.C., F.L., M.S.K., G.B., T.W., J.F.-A., S.G., P.R.-N.), and the Departments of Neurology and Neurosurgery (J.T., T.A.P., A.L.B., C.T., M.C., F.L., M.S.K., G.B., T.W., J.F.-A., J.-P.S., P.V., S.G., P.R.-N.), Psychiatry (S.G., P.R.-N.), Radiochemistry (G.M.), and Epidemiology and Biostatistics (P.S.-C.), McGill University, Montreal; and Montreal Neurological Institute (J.T., T.A.P., A.L.B., C.T., F.L., M.S.K., G.B., T.W., J.F.-A., G.M., J.-P.S., P.R.-N.), Canada
| | - Gleb Berzgin
- From the Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital (J.T., T.A.P., A.L.B., C.T., M.S., M.C., F.L., M.S.K., G.B., T.W., J.F.-A., S.G., P.R.-N.), and the Departments of Neurology and Neurosurgery (J.T., T.A.P., A.L.B., C.T., M.C., F.L., M.S.K., G.B., T.W., J.F.-A., J.-P.S., P.V., S.G., P.R.-N.), Psychiatry (S.G., P.R.-N.), Radiochemistry (G.M.), and Epidemiology and Biostatistics (P.S.-C.), McGill University, Montreal; and Montreal Neurological Institute (J.T., T.A.P., A.L.B., C.T., F.L., M.S.K., G.B., T.W., J.F.-A., G.M., J.-P.S., P.R.-N.), Canada
| | - Tina Wang
- From the Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital (J.T., T.A.P., A.L.B., C.T., M.S., M.C., F.L., M.S.K., G.B., T.W., J.F.-A., S.G., P.R.-N.), and the Departments of Neurology and Neurosurgery (J.T., T.A.P., A.L.B., C.T., M.C., F.L., M.S.K., G.B., T.W., J.F.-A., J.-P.S., P.V., S.G., P.R.-N.), Psychiatry (S.G., P.R.-N.), Radiochemistry (G.M.), and Epidemiology and Biostatistics (P.S.-C.), McGill University, Montreal; and Montreal Neurological Institute (J.T., T.A.P., A.L.B., C.T., F.L., M.S.K., G.B., T.W., J.F.-A., G.M., J.-P.S., P.R.-N.), Canada
| | - Jaime Fernandes-Arias
- From the Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital (J.T., T.A.P., A.L.B., C.T., M.S., M.C., F.L., M.S.K., G.B., T.W., J.F.-A., S.G., P.R.-N.), and the Departments of Neurology and Neurosurgery (J.T., T.A.P., A.L.B., C.T., M.C., F.L., M.S.K., G.B., T.W., J.F.-A., J.-P.S., P.V., S.G., P.R.-N.), Psychiatry (S.G., P.R.-N.), Radiochemistry (G.M.), and Epidemiology and Biostatistics (P.S.-C.), McGill University, Montreal; and Montreal Neurological Institute (J.T., T.A.P., A.L.B., C.T., F.L., M.S.K., G.B., T.W., J.F.-A., G.M., J.-P.S., P.R.-N.), Canada
| | - Gassan Massarweh
- From the Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital (J.T., T.A.P., A.L.B., C.T., M.S., M.C., F.L., M.S.K., G.B., T.W., J.F.-A., S.G., P.R.-N.), and the Departments of Neurology and Neurosurgery (J.T., T.A.P., A.L.B., C.T., M.C., F.L., M.S.K., G.B., T.W., J.F.-A., J.-P.S., P.V., S.G., P.R.-N.), Psychiatry (S.G., P.R.-N.), Radiochemistry (G.M.), and Epidemiology and Biostatistics (P.S.-C.), McGill University, Montreal; and Montreal Neurological Institute (J.T., T.A.P., A.L.B., C.T., F.L., M.S.K., G.B., T.W., J.F.-A., G.M., J.-P.S., P.R.-N.), Canada
| | - Jean-Paul Soucy
- From the Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital (J.T., T.A.P., A.L.B., C.T., M.S., M.C., F.L., M.S.K., G.B., T.W., J.F.-A., S.G., P.R.-N.), and the Departments of Neurology and Neurosurgery (J.T., T.A.P., A.L.B., C.T., M.C., F.L., M.S.K., G.B., T.W., J.F.-A., J.-P.S., P.V., S.G., P.R.-N.), Psychiatry (S.G., P.R.-N.), Radiochemistry (G.M.), and Epidemiology and Biostatistics (P.S.-C.), McGill University, Montreal; and Montreal Neurological Institute (J.T., T.A.P., A.L.B., C.T., F.L., M.S.K., G.B., T.W., J.F.-A., G.M., J.-P.S., P.R.-N.), Canada
| | - Paolo Vitali
- From the Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital (J.T., T.A.P., A.L.B., C.T., M.S., M.C., F.L., M.S.K., G.B., T.W., J.F.-A., S.G., P.R.-N.), and the Departments of Neurology and Neurosurgery (J.T., T.A.P., A.L.B., C.T., M.C., F.L., M.S.K., G.B., T.W., J.F.-A., J.-P.S., P.V., S.G., P.R.-N.), Psychiatry (S.G., P.R.-N.), Radiochemistry (G.M.), and Epidemiology and Biostatistics (P.S.-C.), McGill University, Montreal; and Montreal Neurological Institute (J.T., T.A.P., A.L.B., C.T., F.L., M.S.K., G.B., T.W., J.F.-A., G.M., J.-P.S., P.R.-N.), Canada
| | - Paramita Saha-Chaudhuri
- From the Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital (J.T., T.A.P., A.L.B., C.T., M.S., M.C., F.L., M.S.K., G.B., T.W., J.F.-A., S.G., P.R.-N.), and the Departments of Neurology and Neurosurgery (J.T., T.A.P., A.L.B., C.T., M.C., F.L., M.S.K., G.B., T.W., J.F.-A., J.-P.S., P.V., S.G., P.R.-N.), Psychiatry (S.G., P.R.-N.), Radiochemistry (G.M.), and Epidemiology and Biostatistics (P.S.-C.), McGill University, Montreal; and Montreal Neurological Institute (J.T., T.A.P., A.L.B., C.T., F.L., M.S.K., G.B., T.W., J.F.-A., G.M., J.-P.S., P.R.-N.), Canada
| | - Serge Gauthier
- From the Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital (J.T., T.A.P., A.L.B., C.T., M.S., M.C., F.L., M.S.K., G.B., T.W., J.F.-A., S.G., P.R.-N.), and the Departments of Neurology and Neurosurgery (J.T., T.A.P., A.L.B., C.T., M.C., F.L., M.S.K., G.B., T.W., J.F.-A., J.-P.S., P.V., S.G., P.R.-N.), Psychiatry (S.G., P.R.-N.), Radiochemistry (G.M.), and Epidemiology and Biostatistics (P.S.-C.), McGill University, Montreal; and Montreal Neurological Institute (J.T., T.A.P., A.L.B., C.T., F.L., M.S.K., G.B., T.W., J.F.-A., G.M., J.-P.S., P.R.-N.), Canada
| | - Pedro Rosa-Neto
- From the Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital (J.T., T.A.P., A.L.B., C.T., M.S., M.C., F.L., M.S.K., G.B., T.W., J.F.-A., S.G., P.R.-N.), and the Departments of Neurology and Neurosurgery (J.T., T.A.P., A.L.B., C.T., M.C., F.L., M.S.K., G.B., T.W., J.F.-A., J.-P.S., P.V., S.G., P.R.-N.), Psychiatry (S.G., P.R.-N.), Radiochemistry (G.M.), and Epidemiology and Biostatistics (P.S.-C.), McGill University, Montreal; and Montreal Neurological Institute (J.T., T.A.P., A.L.B., C.T., F.L., M.S.K., G.B., T.W., J.F.-A., G.M., J.-P.S., P.R.-N.), Canada.
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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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Abstract
Amyloid-β (Aβ) PET imaging has now been available for over 15 years. The ability to detect Aβ in vivo has greatly improved the clinical and research landscape of Alzheimer's disease (AD) and other neurodegenerative conditions. Aβ imaging provides very reliable, accurate, and reproducible measurements of regional and global Aβ burden in the brain. It has proved invaluable in anti-Aβ therapy trials, and is now recognized as a powerful diagnostic tool. The appropriate use of Aβ PET, when combined with comprehensive clinical evaluation by a dementia-trained specialist, can improve the accuracy of a clinical diagnosis of AD and substantially alter management. It can assist in differentiating AD from other neurodegenerative conditions, often by its ability to rule out the presence of Aβ. When combined with tau imaging, further increase in specificity for the diagnosis of AD can be achieved. The integration of Aβ PET, in conjunction with biomarkers of tau, neurodegeneration and neuroinflammation, into large, longitudinal, observational cohort studies continues to increase our understanding of the development of AD. Its incorporation into clinical trials has been pivotal in defining the most effective anti-Aβ biological therapies and optimal dosing so that effective disease modifying therapy now appears imminent. Aβ deposition is a gradual and protracted process, permitting a wide treatment window for anti-Aβ therapies and Aβ PET has made trials in this preclinical AD period feasible. Continuing improvement in Aβ tracer target to background ratio is allowing trials in earlier AD that tailor drug dosage to Aβ level. The quest to standardize quantification and define universally applicable thresholds for all Aβ tracers has produced the Centiloid method. Centiloid values that correlate well with neuropathologic findings and prognosis have been identified. Rapid cloud-based automated individual scan analysis is now possible and does not require MRI. Challenges remain, particularly around cross camera standardized uptake value ratio variation that need to be addressed. This review will compare available Aβ radiotracers, discuss approaches to quantification, as well as the clinical and research applications of Aβ PET.
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Affiliation(s)
- Natasha Krishnadas
- Florey Department of Neurosciences and Mental Health, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Victoria, Australia; Department of Molecular Imaging & Therapy, Austin Health, Victoria, Australia
| | - Victor L Villemagne
- Department of Molecular Imaging & Therapy, Austin Health, Victoria, Australia
| | - Vincent Doré
- Department of Molecular Imaging & Therapy, Austin Health, Victoria, Australia; Health and Biosecurity Flagship, The Australian eHealth Research Centre, CSIRO, Victoria, Australia
| | - Christopher C Rowe
- Department of Molecular Imaging & Therapy, Austin Health, Victoria, Australia; The Australian Dementia Network (ADNeT), Melbourne, Australia; The University of Melbourne, Victoria, Australia.
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Drzezga A, Bischof GN, Giehl K, van Eimeren T. PET and SPECT Imaging of Neurodegenerative Diseases. Mol Imaging 2021. [DOI: 10.1016/b978-0-12-816386-3.00085-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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40
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Solnes LB, Jacobs AH, Coughlin JM, Du Y, Goel R, Hammoud DA, Pomper MG. Central Nervous System Molecular Imaging. Mol Imaging 2021. [DOI: 10.1016/b978-0-12-816386-3.00088-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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41
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Abstract
The presenilin-1 (PSEN1) L226F mutation has been linked to very early onset of prominent behavioral and psychiatric disturbances followed by cognitive decline within a few years. We report a novel case of early-onset Alzheimer disease that was originally diagnosed as psychotic depression in a patient with this gene mutation. We also compare our patient's clinical data to those of other cases of this mutation that have been described in the literature. Because atypical behavioral and psychiatric disturbances in young (<40 years) individuals can herald Alzheimer disease, a tight collaboration between psychiatrists and neurologists is crucial for an early diagnosis.
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42
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Reimand J, Groot C, Teunissen CE, Windhorst AD, Boellaard R, Barkhof F, Nazarenko S, van der Flier WM, van Berckel BNM, Scheltens P, Ossenkoppele R, Bouwman F. Why Is Amyloid-β PET Requested After Performing CSF Biomarkers? J Alzheimers Dis 2020; 73:559-569. [PMID: 31796674 PMCID: PMC7081099 DOI: 10.3233/jad-190836] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND Amyloid-β positron emission tomography (PET) and cerebrospinal fluid (CSF) Aβ42 are considered interchangeable for clinical diagnosis of Alzheimer's disease. OBJECTIVE To explore the clinical reasoning for requesting additional amyloid-β PET after performing CSF biomarkers. METHODS We retrospectively identified 72 memory clinic patients who underwent amyloid-β PET after CSF biomarkers analysis for clinical diagnostic evaluation between 2011 and 2019. We performed patient chart reviews to identify factors which led to additional amyloid-β PET. Additionally, we assessed accordance with appropriate-use-criteria (AUC) for amyloid-β PET. RESULTS Mean patient age was 62.0 (SD = 8.1) and mean Mini-Mental State Exam score was 23.6 (SD = 3.8). CSF analysis conflicting with the clinical diagnosis was the most frequent reason for requesting an amyloid-β PET scan (n = 53, 74%), followed by incongruent MRI (n = 16, 22%), unusual clinical presentation (n = 11, 15%) and young age (n = 8, 11%). An amyloid-β PET scan was rarely (n = 5, 7%) requested in patients with a CSF Aβ+/tau+ status. Fifteen (47%) patients with a post-PET diagnosis of AD had a predominantly non-amnestic presentation. In n = 11 (15%) cases, the reason that the clinician requested amyloid-β was not covered by AUC. This happened most often (n = 7) when previous CSF analysis did not support current clinical diagnosis, which led to requesting amyloid-β PET. CONCLUSION In this single-center study, the main reason for requesting an amyloid-β PET scan after performing CSF biomarkers was the occurrence of a mismatch between the primary clinical diagnosis and CSF Aβ/tau results.
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Affiliation(s)
- Juhan Reimand
- Department of Neurology & Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands.,Department of Health Technologies, Tallinn University of Technology, Tallinn, Estonia.,Radiology Centre, North Estonia Medical Centre, Tallinn, Estonia
| | - Colin Groot
- Department of Neurology & Alzheimer Center Amsterdam, 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
| | - Albert D Windhorst
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Ronald Boellaard
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Centre for Medical Image Computing, Medical Physics and Biomedical Engineering, UCL, United Kingdom
| | - Sergei Nazarenko
- Department of Health Technologies, Tallinn University of Technology, Tallinn, Estonia
| | - Wiesje M van der Flier
- Department of Neurology & Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands.,Department of Epidemiology & Biostatistics, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Bart N M van Berckel
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Philip Scheltens
- Department of Neurology & Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Rik Ossenkoppele
- Department of Neurology & Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands.,Clinical Memory Research Unit, Lund University, Lund, Sweden
| | - Femke Bouwman
- Department of Neurology & Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
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Robinson RL, Rentz DM, Bruemmer V, Scott Andrews J, Zagar A, Kim Y, Schwartz RL, Ye W, Fillit HM. Observation of Patient and Caregiver Burden Associated with Early Alzheimer's Disease in the United States: Design and Baseline Findings of the GERAS-US Cohort Study1. J Alzheimers Dis 2020; 72:279-292. [PMID: 31561360 PMCID: PMC6839598 DOI: 10.3233/jad-190430] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Background: Alzheimer’s disease (AD) is one of the costliest diseases in the United States. Objective: To describe aspects of real-world patient and caregiver burden in patients with clinician-diagnosed early AD, including mild cognitive impairment (MCI) and mild dementia (MILD) due to AD. Methods: Cross-sectional assessment of GERAS-US, a 36-month cohort study of patients seeking care for early AD. Eligible patients were categorized based on study-defined categories of MCI and MILD and by amyloid positivity [+] or negativity [–] within each severity cohort. Demographic characteristics, health-related outcomes, medical history, and caregiver burden by amyloid status are described. Results: Of 1,198 patients with clinician-diagnosed early AD, 52% were amyloid[+]. For patients in both cohorts, amyloid[–] was more likely to occur in those with: delayed time to an AD-related diagnosis, higher rates of depression, poorer Bath Assessment of Subjective Quality of Life in Dementia scores, and Hispanic/Latino ethnicity (all p < 0.05). MILD[–] patients (versus MILD[+]) were more medically complex with greater rates of depression (55.7% versus 40.4%), sleep disorders (34.3% versus 26.5%), and obstructive pulmonary disease (11.8% versus 6.6%); and higher caregiver burden (Zarit Burden Interview) (all p < 0.05). MILD[+] patients had lower function according to the Functional Activities Questionnaire (p < 0.001), yet self-assessment of cognitive complaints across multiple measures did not differ by amyloid status in either severity cohort. Conclusions: Considerable patient and caregiver burden was observed in patients seeking care for memory concerns. Different patterns emerged when both disease severity and amyloid status were evaluated underscoring the need for further diagnostic assessment and care for patients. Study Registry: H8A-US-B004; ClinicalTrials.gov: NCT02951598.
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Affiliation(s)
| | - Dorene M Rentz
- Harvard Medical School, Boston, MA, USA.,Department of Neurology, Brigham and Women's Hospital, Massachusetts General Hospital, Boston, MA, USA
| | | | | | | | - Yongin Kim
- Eli Lilly and Company, Indianapolis, IN, USA
| | | | - Wenyu Ye
- Eli Lilly and Company, Indianapolis, IN, USA
| | - Howard M Fillit
- Geriatric Medicine, Palliative Care and Neuroscience, The Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Alzheimer's Drug Discovery Foundation, New York, NY, USA
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44
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Kolanko M, Win Z, Patel N, Malik O, Carswell C, Gontsarova A, Nicholas R, Perry R, Malhotra P. Using amyloid PET imaging to diagnose Alzheimer's disease in patients with multiple sclerosis. J Neurol 2020; 267:3268-3273. [PMID: 32556533 PMCID: PMC7578168 DOI: 10.1007/s00415-020-09969-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Revised: 04/23/2020] [Accepted: 06/01/2020] [Indexed: 12/02/2022]
Abstract
BACKGROUND Cognitive dysfunction affects 40-60% of individuals with multiple sclerosis (MS). The neuropsychological profile commonly consists of a subcortical pattern of deficits, although a proportion of patients have a severe progressive cortical dementia. However, patients with MS can be affected by other neurodegenerative diseases, such as Alzheimer's disease (AD). Little is known about the co-existence of these two conditions but distinguishing dementia due to MS alone from a coexisting neurodegenerative disease is challenging. Amyloid PET imaging has allowed improved AD diagnosis, especially in patients with atypical presentations or multiple possible causes of cognitive impairment. Amyloid PET demonstrates increased cortical signal in AD, whereas reductions in subcortical uptake are associated with demyelination. To the authors knowledge, there are no reports of clinical Amyloid PET use in MS patients with dementia. METHODS Here, three MS patients presenting to the Cognitive Neurology Clinic with progressive cognitive impairment are described. Due to lack of diagnostic clarity from standard investigations, they underwent Amyloid PET Imaging with 18F-florbetapir according to established appropriate use criteria and after review by a multidisciplinary team. RESULTS Two patients were diagnosed with AD based on positive Amyloid PET imaging and were subsequently started on cholinesterase inhibitor treatment. The other patient had a negative scan, leading to further investigations and identification of another potential cause of worsening cognitive impairment. CONCLUSIONS The experience from this case series suggests that Amyloid PET Imaging may be of diagnostic value in selected patients with MS and dementia. In these individuals, it may provide diagnostic clarity and assist with therapeutic decisions.
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Affiliation(s)
- Magdalena Kolanko
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, W6 8RP, UK
- Department of Neurology, Imperial College Healthcare NHS Trust, London, UK
| | - Zarni Win
- Department of Nuclear Medicine, Imperial College Healthcare NHS Trust, London, UK
| | - Neva Patel
- Department of Nuclear Medicine, Imperial College Healthcare NHS Trust, London, UK
| | - Omar Malik
- Department of Neurology, Imperial College Healthcare NHS Trust, London, UK
| | | | | | - Richard Nicholas
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, W6 8RP, UK
- Department of Neurology, Imperial College Healthcare NHS Trust, London, UK
| | - Richard Perry
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, W6 8RP, UK
- Department of Neurology, Imperial College Healthcare NHS Trust, London, UK
| | - Paresh Malhotra
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, W6 8RP, UK.
- Department of Neurology, Imperial College Healthcare NHS Trust, London, UK.
- UK Dementia Research Institute, Imperial College London, London, UK.
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45
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Isaacs JD, Boenink M. Biomarkers for dementia: too soon for routine clinical use. Lancet Neurol 2020; 19:884-885. [PMID: 33098787 DOI: 10.1016/s1474-4422(20)30365-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 09/23/2020] [Accepted: 09/24/2020] [Indexed: 12/19/2022]
Affiliation(s)
- Jeremy D Isaacs
- Department of Neurology, St George's Hospital, London SW17 0QT, UK; Neurosciences Research Centre, St George's University of London, London, UK.
| | - Marianne Boenink
- IQ Healthcare, Radboud University Medical Centre, Nijmegen, Netherlands
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46
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Juengling FD, Allenbach G, Bruehlmeier M, Klaeser B, Wissmeyer MP, Garibotto V, Felbecker A, Georgescu D. Appropriate use criteria for dementia amyloid imaging in Switzerland - mini-review and statement on behalf of the Swiss Society of Nuclear Medicine and the Swiss Memory Clinics. Nuklearmedizin 2020; 60:7-9. [PMID: 33080626 DOI: 10.1055/a-1277-6014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
While FDG-PET imaging of the brain for the differential diagnosis of dementia has been covered by the compulsory health insurance in Switzerland for more than a decade, beta-amyloid-PET just recently has been added to the catalogue of procedures that have been cleared for routine use, provided that a set of appropriate use criteria (AUC) be followed. To provide guidance to dementia care practitioners, the Swiss Society of Nuclear Medicine and the Swiss Memory Clinics jointly report a mini-review on beta-amyloid-PET and discuss the AUC set into effect by the Swiss Federal Office of Public Health, as well as their application and limitations.
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Affiliation(s)
| | - Gilles Allenbach
- Centre hospitalier universitaire vaudois (CHUV), Lausanne, Switzerland
| | | | - Bernd Klaeser
- Cantonal hospital Winterthur, Winterthur, Switzerland
| | | | | | - Ansgar Felbecker
- Clinic for Neurology, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
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47
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Ismail Z, Black SE, Camicioli R, Chertkow H, Herrmann N, Laforce R, Montero‐Odasso M, Rockwood K, Rosa‐Neto P, Seitz D, Sivananthan S, Smith EE, Soucy J, Vedel I, Gauthier S. Recommendations of the 5th Canadian Consensus Conference on the diagnosis and treatment of dementia. Alzheimers Dement 2020; 16:1182-1195. [PMID: 32725777 PMCID: PMC7984031 DOI: 10.1002/alz.12105] [Citation(s) in RCA: 108] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Revised: 03/03/2020] [Accepted: 04/09/2020] [Indexed: 12/13/2022]
Abstract
Since 1989, four Canadian Consensus Conferences on the Diagnosis and Treatment of Dementia (CCCDTD) have provided evidence-based dementia guidelines for Canadian clinicians and researchers. We present the results of the 5th CCCDTD, which convened in October 2019, to address topics chosen by the steering committee to reflect advances in the field, and build on previous guidelines. Topics included: (1) utility of the National Institute on Aging research framework for clinical Alzheimer's disease (AD) diagnosis; (2) updating diagnostic criteria for vascular cognitive impairment, and its management; (3) dementia case finding and detection; (4) neuroimaging and fluid biomarkers in diagnosis; (5) use of non-cognitive markers of dementia for better dementia detection; (6) risk reduction/prevention; (7) psychosocial and non-pharmacological interventions; and (8) deprescription of medications used to treat dementia. We hope the guidelines are useful for clinicians, researchers, policy makers, and the lay public, to inform a current and evidence-based approach to dementia.
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Affiliation(s)
- Zahinoor Ismail
- Department of PsychiatryHotchkiss Brain Institute and O'Brien Institute for Public HealthUniversity of CalgaryCalgaryAlbertaCanada
| | - Sandra E. Black
- Department of Medicine (Neurology) Sunnybrook Health Sciences CentreUniversity of TorontoTorontoOntarioCanada
| | - Richard Camicioli
- Neuroscience and Mental Health InstituteUniversity of AlbertaEdmontonAlbertaCanada
| | - Howard Chertkow
- University of TorontoBaycrest Health SciencesTorontoOntarioCanada
| | | | - Robert Laforce
- Clinique Interdisciplinaire de MémoireDépartement des Sciences NeurologiquesCHU de Québec, and Faculté de MédecineUniversité LavalLavalQuébecCanada
| | - Manuel Montero‐Odasso
- Departments of Medicine, and Epidemiology and BiostatisticsUniversity of Western OntarioLondonOntarioCanada
- Gait and Brain Lab, Parkwood InstituteLondonOntarioCanada
| | | | - Pedro Rosa‐Neto
- Neurosurgery and PsychiatryMcGill Centre for Studies in AgingMontrealQuebecCanada
| | - Dallas Seitz
- Hotchkiss Brain InstituteUniversity of CalgaryCalgaryAlbertaCanada
| | | | - Eric E. Smith
- Hotchkiss Brain InstituteUniversity of CalgaryCalgaryAlbertaCanada
| | - Jean‐Paul Soucy
- McConnell Brain Imaging CentreMontreal Neurological InstituteMcGill UniversityPERFORM CentreConcordia UniversityMontrealQuebecCanada
| | - Isabelle Vedel
- Department of Family MedicineMcGill UniversityMontrealQuebecCanada
| | - Serge Gauthier
- Alzheimer Disease Research UnitMcGill Center for Studies in AgingMontrealQuebecCanada
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48
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Hammers DB, Kucera A, Spencer RJ, Abildskov TJ, Archibald ZG, Hoffman JM, Wilde EA. Examining the Relationship between a Verbal Incidental Learning Measure from the WAIS-IV and Neuroimaging Biomarkers for Alzheimer's Pathology. Dev Neuropsychol 2020; 45:95-109. [PMID: 32374196 DOI: 10.1080/87565641.2020.1762602] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Convergent validation of a verbal incidental learning (IL) task from the WAIS-IV using neuroimaging biomarkers is warranted to understand its sensitivity to Alzheimer's disease (AD) pathology. Fifty-five memory clinic patients aged 59 to 87 years received neuropsychological assessment, and measures of IL and quantitative brain imaging. Worse IL-Total Score and IL-Similarities performances were significantly associated with smaller hemispheric hippocampal volumes. IL measures were not significantly correlated with cerebral β-amyloid burden, though a trend was present and effect sizes were mild. These hippocampal volume results suggest that this IL task may be sensitive to AD pathology along the AD continuum.
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Affiliation(s)
- Dustin B Hammers
- Center for Alzheimer's Care, Imaging, and Research, Department of Neurology, University of Utah , Salt Lake City, UT, USA
| | - Amanda Kucera
- University of Utah Health Care , Salt Lake City, UT, USA
| | - Robert J Spencer
- Mental Health Service, VA Ann Arbor Healthcare System , Ann Arbor, MI, USA
| | - Tracy J Abildskov
- Traumatic Brain Injury and Concussion Center, Department of Neurology, University of Utah , Salt Lake City, UT, USA
| | - Zane G Archibald
- Center for Quantitative Cancer Imaging, Huntsman Cancer Institute, University of Utah , Salt Lake City, UT, USA
| | - John M Hoffman
- Center for Quantitative Cancer Imaging, Huntsman Cancer Institute, University of Utah , Salt Lake City, UT, USA
| | - Elizabeth A Wilde
- Traumatic Brain Injury and Concussion Center, Department of Neurology, University of Utah , Salt Lake City, UT, USA.,George E. Wahlen Veterans Affairs Medical Center , Salt Lake City, UT, USA
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49
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Moonis G, Subramaniam RM, Trofimova A, Burns J, Bykowski J, Chakraborty S, Holloway K, Ledbetter LN, Lee RK, Pannell JS, Pollock JM, Powers WJ, Roca RP, Rosenow JM, Shih RY, Utukuri PS, Corey AS. ACR Appropriateness Criteria® Dementia. J Am Coll Radiol 2020; 17:S100-S112. [PMID: 32370954 DOI: 10.1016/j.jacr.2020.01.040] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Accepted: 01/25/2020] [Indexed: 12/24/2022]
Abstract
Degenerative disease of the central nervous system is a growing public health concern. The primary role of neuroimaging in the workup of patients with probable or possible Alzheimer disease has typically been to exclude other significant intracranial abnormalities. In general, the imaging findings in structural studies, such as MRI, are nonspecific and have limited potential in differentiating different types of dementia. Advanced imaging methods are not routinely used in community or general practices for the diagnosis or differentiation of forms of dementia. Nonetheless, in patients who have been evaluated by a dementia expert, FDG-PET helps to distinguish Alzheimer disease from frontotemporal dementia. In patients with suspected dementia with Lewy bodies, functional imaging of the dopamine transporter (ioflupane) using SPECT may be helpful. In patients with suspected normal-pressure hydrocephalus, DTPA cisternography and HMPAO SPECT/CT brain may provide assessment. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.
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Affiliation(s)
- Gul Moonis
- Columbia University Medical Center, New York, New York.
| | | | | | - Judah Burns
- Panel Chair, Montefiore Medical Center, Bronx, New York
| | | | - Santanu Chakraborty
- Ottawa Hospital Research Institute and the Department of Radiology, The University of Ottawa, Ottawa, Ontario, Canada; Canadian Association of Radiologists
| | - Kathryn Holloway
- MCVH-Virginia Commonwealth University, Richmond, Virginia; Neurosurgery Expert
| | | | - Ryan K Lee
- Einstein Healthcare Network, Philadelphia, Pennsylvania
| | - Jeffrey S Pannell
- University of California San Diego Medical Center, San Diego, California
| | | | - William J Powers
- University of North Carolina School of Medicine, Chapel Hill, North Carolina; American Academy of Neurology
| | - Robert P Roca
- Sheppard Pratt Health System, Towson, Maryland; American Psychiatric Association
| | - Joshua M Rosenow
- Northwestern University Feinberg School of Medicine, Chicago, Illinois; Neurosurgery Expert
| | - Robert Y Shih
- Walter Reed National Military Medical Center, Bethesda, Maryland
| | | | - Amanda S Corey
- Specialty Chair, Atlanta VA Health Care System and Emory University, Atlanta, Georgia
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Burnham SC, Fandos N, Fowler C, Pérez-Grijalba V, Dore V, Doecke JD, Shishegar R, Cox T, Fripp J, Rowe C, Sarasa M, Masters CL, Pesini P, Villemagne VL. Longitudinal evaluation of the natural history of amyloid-β in plasma and brain. Brain Commun 2020; 2:fcaa041. [PMID: 32954297 PMCID: PMC7425352 DOI: 10.1093/braincomms/fcaa041] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Revised: 02/26/2020] [Accepted: 03/04/2020] [Indexed: 01/03/2023] Open
Abstract
Plasma amyloid-β peptide concentration has recently been shown to have high accuracy to predict amyloid-β plaque burden in the brain. These amyloid-β plasma markers will allow wider screening of the population and simplify and reduce screening costs for therapeutic trials in Alzheimer's disease. The aim of this study was to determine how longitudinal changes in blood amyloid-β track with changes in brain amyloid-β. Australian Imaging, Biomarker and Lifestyle study participants with a minimum of two assessments were evaluated (111 cognitively normal, 7 mild cognitively impaired, 15 participants with Alzheimer's disease). Amyloid-β burden in the brain was evaluated through PET and was expressed in Centiloids. Total protein amyloid-β 42/40 plasma ratios were determined using ABtest® assays. We applied our method for obtaining natural history trajectories from short term data to measures of total protein amyloid-β 42/40 plasma ratios and PET amyloid-β. The natural history trajectory of total protein amyloid-β 42/40 plasma ratios appears to approximately mirror that of PET amyloid-β, with both spanning decades. Rates of change of 7.9% and 8.8%, were observed for total protein amyloid-β 42/40 plasma ratios and PET amyloid-β, respectively. The trajectory of plasma amyloid-β preceded that of brain amyloid-β by a median value of 6 years (significant at 88% confidence interval). These findings, showing the tight association between changes in plasma and brain amyloid-β, support the use of plasma total protein amyloid-β 42/40 plasma ratios as a surrogate marker of brain amyloid-β. Also, that plasma total protein amyloid-β 42/40 plasma ratios has potential utility in monitoring trial participants, and as an outcome measure.
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Affiliation(s)
- Samantha C Burnham
- The Australian e-Health Research Centre, CSIRO Health & Biosecurity, Parkville, VIC 3052, Australia
- Centre of Excellence for Alzheimer’s Disease Research and Care, School of Medical Sciences, Edith Cowan University, Joondalup, WA 6027, Australia
| | | | - Christopher Fowler
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC 3010, Australia
| | | | - Vincent Dore
- The Australian e-Health Research Centre, CSIRO Health & Biosecurity, Parkville, VIC 3052, Australia
- Department of Molecular Imaging and Therapy, Austin Health, Heidelberg, VIC 3084, Australia
| | - James D Doecke
- The Australian e-Health Research Centre, CSIRO Health and Biosecurity, Herston 4029, Australia
| | - Rosita Shishegar
- The Australian e-Health Research Centre, CSIRO Health & Biosecurity, Parkville, VIC 3052, Australia
| | - Timothy Cox
- The Australian e-Health Research Centre, CSIRO Health & Biosecurity, Parkville, VIC 3052, Australia
| | - Jurgen Fripp
- The Australian e-Health Research Centre, CSIRO Health and Biosecurity, Herston 4029, Australia
| | - Christopher Rowe
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC 3010, Australia
- Department of Molecular Imaging and Therapy, Austin Health, Heidelberg, VIC 3084, Australia
- Department of Medicine, The University of Melbourne, Parkville, VIC 3052, Australia
| | | | - Colin L Masters
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC 3010, Australia
| | | | - Victor L Villemagne
- Department of Molecular Imaging and Therapy, Austin Health, Heidelberg, VIC 3084, Australia
- Department of Medicine, The University of Melbourne, Parkville, VIC 3052, Australia
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