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Reas ET, Shadrin A, Frei O, Motazedi E, McEvoy L, Bahrami S, van der Meer D, Makowski C, Loughnan R, Wang X, Broce I, Banks SJ, Fominykh V, Cheng W, Holland D, Smeland OB, Seibert T, Selbæk G, Brewer JB, Fan CC, Andreassen OA, Dale AM. Improved multimodal prediction of progression from MCI to Alzheimer's disease combining genetics with quantitative brain MRI and cognitive measures. Alzheimers Dement 2023; 19:5151-5158. [PMID: 37132098 PMCID: PMC10620101 DOI: 10.1002/alz.13112] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 03/21/2023] [Accepted: 04/04/2023] [Indexed: 05/04/2023]
Abstract
INTRODUCTION There is a pressing need for non-invasive, cost-effective tools for early detection of Alzheimer's disease (AD). METHODS Using data from the Alzheimer's Disease Neuroimaging Initiative (ADNI), Cox proportional models were conducted to develop a multimodal hazard score (MHS) combining age, a polygenic hazard score (PHS), brain atrophy, and memory to predict conversion from mild cognitive impairment (MCI) to dementia. Power calculations estimated required clinical trial sample sizes after hypothetical enrichment using the MHS. Cox regression determined predicted age of onset for AD pathology from the PHS. RESULTS The MHS predicted conversion from MCI to dementia (hazard ratio for 80th versus 20th percentile: 27.03). Models suggest that application of the MHS could reduce clinical trial sample sizes by 67%. The PHS alone predicted age of onset of amyloid and tau. DISCUSSION The MHS may improve early detection of AD for use in memory clinics or for clinical trial enrichment. HIGHLIGHTS A multimodal hazard score (MHS) combined age, genetics, brain atrophy, and memory. The MHS predicted time to conversion from mild cognitive impairment to dementia. MHS reduced hypothetical Alzheimer's disease (AD) clinical trial sample sizes by 67%. A polygenic hazard score predicted age of onset of AD neuropathology.
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Affiliation(s)
- Emilie T. Reas
- Department of Neurosciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Alexey Shadrin
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407 Oslo, Norway
| | - Oleksandr Frei
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407 Oslo, Norway
- Center for Bioinformatics, Department of Informatics, University of Oslo, PO box 1080, Blindern, 0316 Oslo, Norway
| | - Ehsan Motazedi
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407 Oslo, Norway
| | - Linda McEvoy
- Department of Radiology, University of California, San Diego, La Jolla, CA 92093, USA
| | - Shahram Bahrami
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407 Oslo, Norway
| | - Dennis van der Meer
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407 Oslo, Norway
| | - Carolina Makowski
- Department of Radiology, University of California, San Diego, La Jolla, CA 92093, USA
| | - Robert Loughnan
- University of California, San Diego, La Jolla, California, USA
| | - Xin Wang
- Department of Neurosciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Iris Broce
- Department of Neurosciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Sarah J. Banks
- Department of Neurosciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Vera Fominykh
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407 Oslo, Norway
| | - Weiqiu Cheng
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407 Oslo, Norway
| | - Dominic Holland
- Department of Neurosciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Olav B. Smeland
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407 Oslo, Norway
| | - Tyler Seibert
- Department of Radiology, University of California, San Diego, La Jolla, CA 92093, USA
| | | | - James B. Brewer
- Department of Neurosciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Chun C. Fan
- Population Neuroscience and Genetics Lab, University of California, La Jolla, CA 92093, USA
- Center for Human Development, University of California, San Diego, La Jolla, CA 92093, USA
- Department of Radiology, University of California, San Diego, La Jolla, CA 92093, USA
| | - Ole A. Andreassen
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407 Oslo, Norway
| | - Anders M. Dale
- Department of Neurosciences, University of California San Diego, La Jolla, CA 92093, USA
- Population Neuroscience and Genetics Lab, University of California, La Jolla, CA 92093, USA
- Department of Radiology, University of California, San Diego, La Jolla, CA 92093, USA
- Department of Psychiatry, University of California, San Diego, La Jolla, CA 92093, USA
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García-Bermúdez MY, Vohra R, Freude K, van Wijngaarden P, Martin K, Thomsen MS, Aldana BI, Kolko M. Potential Retinal Biomarkers in Alzheimer's Disease. Int J Mol Sci 2023; 24:15834. [PMID: 37958816 PMCID: PMC10649108 DOI: 10.3390/ijms242115834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 10/18/2023] [Accepted: 10/25/2023] [Indexed: 11/15/2023] Open
Abstract
Alzheimer's disease (AD) represents a major diagnostic challenge, as early detection is crucial for effective intervention. This review examines the diagnostic challenges facing current AD evaluations and explores the emerging field of retinal alterations as early indicators. Recognizing the potential of the retina as a noninvasive window to the brain, we emphasize the importance of identifying retinal biomarkers in the early stages of AD. However, the examination of AD is not without its challenges, as the similarities shared with other retinal diseases introduce complexity in the search for AD-specific markers. In this review, we address the relevance of using the retina for the early diagnosis of AD and the complex challenges associated with the search for AD-specific retinal biomarkers. We provide a comprehensive overview of the current landscape and highlight avenues for progress in AD diagnosis by retinal examination.
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Affiliation(s)
| | - Rupali Vohra
- Eye Translational Research Unit, Department of Drug Design and Pharmacology, University of Copenhagen, 2100 Copenhagen, Denmark
- Department of Ophthalmology, Copenhagen University Hospital, Rigshospitalet, 2600 Glostrup, Denmark
| | - Kristine Freude
- Group of Stem Cell Models and Embryology, Department of Veterinary and Animal Sciences, University of Copenhagen, 1870 Frederiksberg, Denmark
| | - Peter van Wijngaarden
- Center for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, VIC 3002, Australia
- Ophthalmology, Department of Surgery, University of Melbourne, Melbourne, VIC 3010, Australia
| | - Keith Martin
- Center for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, VIC 3002, Australia
- Ophthalmology, Department of Surgery, University of Melbourne, Melbourne, VIC 3010, Australia
- Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Maj Schneider Thomsen
- Neurobiology Research and Drug Delivery, Department of Health, Science and Technology, Aalborg University, 9220 Aalborg, Denmark
| | - Blanca Irene Aldana
- Neurometabolism Research Group, Department of Drug Design and Pharmacology, University of Copenhagen, 2100 Copenhagen, Denmark
| | - Miriam Kolko
- Eye Translational Research Unit, Department of Drug Design and Pharmacology, University of Copenhagen, 2100 Copenhagen, Denmark
- Department of Ophthalmology, Copenhagen University Hospital, Rigshospitalet, 2600 Glostrup, Denmark
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153
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Gonzales MM, Vela G, Philip V, Trevino H, LaRoche A, Wang CP, Parent DM, Kautz T, Satizabal CL, Tanner J, O'Bryant S, Maestre G, Tracy RP, Seshadri S. Demographic and Clinical Characteristics Associated With Serum GFAP Levels in an Ethnically Diverse Cohort. Neurology 2023; 101:e1531-e1541. [PMID: 37813589 PMCID: PMC10585700 DOI: 10.1212/wnl.0000000000207706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 06/09/2023] [Indexed: 10/16/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Elevations in circulating glial fibrillary acidic protein (GFAP), a putative marker of reactive astrocytosis, have been found to associate with cognitive decline and dementia status. Further validation in diverse cohorts and evaluation of potential health disparities are necessary for broader generalization. The goal of this study was to examine the associations between demographics, cardiovascular risk factors, and APOE ε4 status with serum GFAP levels among Mexican American and non-Hispanic White older adults across the continuum from cognitively unimpaired to Alzheimer disease dementia. METHODS Serum GFAP levels were assayed using a Simoa HD-1 analyzer in older adults enrolled in the observational Texas Alzheimer Research and Care Consortium. Associations between demographic and clinical characteristics with serum GFAP levels were evaluated using linear regression. The diagnostic accuracy of serum GFAP was further examined using area under the receiver operating characteristic curves (AUROC) in univariate and adjusted models, and optimal cut points were derived using the maximum Kolmogorov-Smirnov metric. All models were also stratified by ethnicity and disease stage. RESULTS A total of 1,156 Mexican American and 587 non-Hispanic White participants were included (mean age = 68 years, standard deviation = 10; 65% female). Older age (β = 0.562 (95% CI 0.515-0.609), p < 0.001), apolipoprotein ε4 status (β = 0.139 (95% CI 0.092-0.186), p < 0.001), and cognitive impairment (β = 0.150 (95% CI 0.103-0.197), p < 0.001) were positively associated with serum GFAP. By contrast, higher body mass index (β = -0.181 (95% CI -0.228 to -0.134), p < 0.001), diabetes (β = -0.065 (95% CI -0.112 to -0.018), p < 0.001), and tobacco use (β = -0.059 (95% CI -0.106 to -0.012), p < 0.001) were inversely associated with serum GFAP. AUROC values were generally comparable across ethnicities and model fit improved with inclusion of additional covariates. However, optimal cut-off values were consistently lower in Mexican Americans relative to non-Hispanic White participants. DISCUSSION The study results highlight the importance of understanding the role of broader demographic and clinical factors on circulating GFAP levels within diverse cohorts to enhance precision across clinical, research, and community settings.
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Affiliation(s)
- Mitzi M Gonzales
- From the Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., G.V., V.P., H.T., A.L., C.-P.W., T.K., C.L.S., J.T., S.S.); Department of Neurology (M.M.G., J.T., S.S.); Department of Population Health Sciences (C.-P.W., C.L.S.), University of Texas Health Science Center, San Antonio; South Texas Veterans Health Care System (C.-P.W.), Geriatric Research, Education and Clinical Center, San Antonio; Departments of Pathology and Laboratory Medicine (D.M.P., R.P.T.), and Biochemistry, Larner College of Medicine, University of Vermont, Burlington; Department of Medicine (T.K.), University of Texas Health Science Center at San Antonio; Department of Neurology (C.L.S., S.S.), Boston University School of Medicine, MA; Institute for Translational Research and Department of Family Medicine (S.O.B.), University of North Texas Health Science Center, Fort Worth; Neurosciences Laboratory (G.M.), Biological Research Institute and Research Institute of Cardiovascular Diseases, Faculty of Medicine, Universidad del Zulia, Maracaibo, Venezuela; and Department of Biomedical Sciences (G.M.), Division of Neurosciences, University of Texas Rio Grande Valley School of Medicine, Brownsville.
| | - Gabriel Vela
- From the Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., G.V., V.P., H.T., A.L., C.-P.W., T.K., C.L.S., J.T., S.S.); Department of Neurology (M.M.G., J.T., S.S.); Department of Population Health Sciences (C.-P.W., C.L.S.), University of Texas Health Science Center, San Antonio; South Texas Veterans Health Care System (C.-P.W.), Geriatric Research, Education and Clinical Center, San Antonio; Departments of Pathology and Laboratory Medicine (D.M.P., R.P.T.), and Biochemistry, Larner College of Medicine, University of Vermont, Burlington; Department of Medicine (T.K.), University of Texas Health Science Center at San Antonio; Department of Neurology (C.L.S., S.S.), Boston University School of Medicine, MA; Institute for Translational Research and Department of Family Medicine (S.O.B.), University of North Texas Health Science Center, Fort Worth; Neurosciences Laboratory (G.M.), Biological Research Institute and Research Institute of Cardiovascular Diseases, Faculty of Medicine, Universidad del Zulia, Maracaibo, Venezuela; and Department of Biomedical Sciences (G.M.), Division of Neurosciences, University of Texas Rio Grande Valley School of Medicine, Brownsville
| | - Vinu Philip
- From the Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., G.V., V.P., H.T., A.L., C.-P.W., T.K., C.L.S., J.T., S.S.); Department of Neurology (M.M.G., J.T., S.S.); Department of Population Health Sciences (C.-P.W., C.L.S.), University of Texas Health Science Center, San Antonio; South Texas Veterans Health Care System (C.-P.W.), Geriatric Research, Education and Clinical Center, San Antonio; Departments of Pathology and Laboratory Medicine (D.M.P., R.P.T.), and Biochemistry, Larner College of Medicine, University of Vermont, Burlington; Department of Medicine (T.K.), University of Texas Health Science Center at San Antonio; Department of Neurology (C.L.S., S.S.), Boston University School of Medicine, MA; Institute for Translational Research and Department of Family Medicine (S.O.B.), University of North Texas Health Science Center, Fort Worth; Neurosciences Laboratory (G.M.), Biological Research Institute and Research Institute of Cardiovascular Diseases, Faculty of Medicine, Universidad del Zulia, Maracaibo, Venezuela; and Department of Biomedical Sciences (G.M.), Division of Neurosciences, University of Texas Rio Grande Valley School of Medicine, Brownsville
| | - Hector Trevino
- From the Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., G.V., V.P., H.T., A.L., C.-P.W., T.K., C.L.S., J.T., S.S.); Department of Neurology (M.M.G., J.T., S.S.); Department of Population Health Sciences (C.-P.W., C.L.S.), University of Texas Health Science Center, San Antonio; South Texas Veterans Health Care System (C.-P.W.), Geriatric Research, Education and Clinical Center, San Antonio; Departments of Pathology and Laboratory Medicine (D.M.P., R.P.T.), and Biochemistry, Larner College of Medicine, University of Vermont, Burlington; Department of Medicine (T.K.), University of Texas Health Science Center at San Antonio; Department of Neurology (C.L.S., S.S.), Boston University School of Medicine, MA; Institute for Translational Research and Department of Family Medicine (S.O.B.), University of North Texas Health Science Center, Fort Worth; Neurosciences Laboratory (G.M.), Biological Research Institute and Research Institute of Cardiovascular Diseases, Faculty of Medicine, Universidad del Zulia, Maracaibo, Venezuela; and Department of Biomedical Sciences (G.M.), Division of Neurosciences, University of Texas Rio Grande Valley School of Medicine, Brownsville
| | - Ashley LaRoche
- From the Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., G.V., V.P., H.T., A.L., C.-P.W., T.K., C.L.S., J.T., S.S.); Department of Neurology (M.M.G., J.T., S.S.); Department of Population Health Sciences (C.-P.W., C.L.S.), University of Texas Health Science Center, San Antonio; South Texas Veterans Health Care System (C.-P.W.), Geriatric Research, Education and Clinical Center, San Antonio; Departments of Pathology and Laboratory Medicine (D.M.P., R.P.T.), and Biochemistry, Larner College of Medicine, University of Vermont, Burlington; Department of Medicine (T.K.), University of Texas Health Science Center at San Antonio; Department of Neurology (C.L.S., S.S.), Boston University School of Medicine, MA; Institute for Translational Research and Department of Family Medicine (S.O.B.), University of North Texas Health Science Center, Fort Worth; Neurosciences Laboratory (G.M.), Biological Research Institute and Research Institute of Cardiovascular Diseases, Faculty of Medicine, Universidad del Zulia, Maracaibo, Venezuela; and Department of Biomedical Sciences (G.M.), Division of Neurosciences, University of Texas Rio Grande Valley School of Medicine, Brownsville
| | - Chen-Pin Wang
- From the Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., G.V., V.P., H.T., A.L., C.-P.W., T.K., C.L.S., J.T., S.S.); Department of Neurology (M.M.G., J.T., S.S.); Department of Population Health Sciences (C.-P.W., C.L.S.), University of Texas Health Science Center, San Antonio; South Texas Veterans Health Care System (C.-P.W.), Geriatric Research, Education and Clinical Center, San Antonio; Departments of Pathology and Laboratory Medicine (D.M.P., R.P.T.), and Biochemistry, Larner College of Medicine, University of Vermont, Burlington; Department of Medicine (T.K.), University of Texas Health Science Center at San Antonio; Department of Neurology (C.L.S., S.S.), Boston University School of Medicine, MA; Institute for Translational Research and Department of Family Medicine (S.O.B.), University of North Texas Health Science Center, Fort Worth; Neurosciences Laboratory (G.M.), Biological Research Institute and Research Institute of Cardiovascular Diseases, Faculty of Medicine, Universidad del Zulia, Maracaibo, Venezuela; and Department of Biomedical Sciences (G.M.), Division of Neurosciences, University of Texas Rio Grande Valley School of Medicine, Brownsville
| | - Danielle M Parent
- From the Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., G.V., V.P., H.T., A.L., C.-P.W., T.K., C.L.S., J.T., S.S.); Department of Neurology (M.M.G., J.T., S.S.); Department of Population Health Sciences (C.-P.W., C.L.S.), University of Texas Health Science Center, San Antonio; South Texas Veterans Health Care System (C.-P.W.), Geriatric Research, Education and Clinical Center, San Antonio; Departments of Pathology and Laboratory Medicine (D.M.P., R.P.T.), and Biochemistry, Larner College of Medicine, University of Vermont, Burlington; Department of Medicine (T.K.), University of Texas Health Science Center at San Antonio; Department of Neurology (C.L.S., S.S.), Boston University School of Medicine, MA; Institute for Translational Research and Department of Family Medicine (S.O.B.), University of North Texas Health Science Center, Fort Worth; Neurosciences Laboratory (G.M.), Biological Research Institute and Research Institute of Cardiovascular Diseases, Faculty of Medicine, Universidad del Zulia, Maracaibo, Venezuela; and Department of Biomedical Sciences (G.M.), Division of Neurosciences, University of Texas Rio Grande Valley School of Medicine, Brownsville
| | - Tiffany Kautz
- From the Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., G.V., V.P., H.T., A.L., C.-P.W., T.K., C.L.S., J.T., S.S.); Department of Neurology (M.M.G., J.T., S.S.); Department of Population Health Sciences (C.-P.W., C.L.S.), University of Texas Health Science Center, San Antonio; South Texas Veterans Health Care System (C.-P.W.), Geriatric Research, Education and Clinical Center, San Antonio; Departments of Pathology and Laboratory Medicine (D.M.P., R.P.T.), and Biochemistry, Larner College of Medicine, University of Vermont, Burlington; Department of Medicine (T.K.), University of Texas Health Science Center at San Antonio; Department of Neurology (C.L.S., S.S.), Boston University School of Medicine, MA; Institute for Translational Research and Department of Family Medicine (S.O.B.), University of North Texas Health Science Center, Fort Worth; Neurosciences Laboratory (G.M.), Biological Research Institute and Research Institute of Cardiovascular Diseases, Faculty of Medicine, Universidad del Zulia, Maracaibo, Venezuela; and Department of Biomedical Sciences (G.M.), Division of Neurosciences, University of Texas Rio Grande Valley School of Medicine, Brownsville
| | - Claudia L Satizabal
- From the Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., G.V., V.P., H.T., A.L., C.-P.W., T.K., C.L.S., J.T., S.S.); Department of Neurology (M.M.G., J.T., S.S.); Department of Population Health Sciences (C.-P.W., C.L.S.), University of Texas Health Science Center, San Antonio; South Texas Veterans Health Care System (C.-P.W.), Geriatric Research, Education and Clinical Center, San Antonio; Departments of Pathology and Laboratory Medicine (D.M.P., R.P.T.), and Biochemistry, Larner College of Medicine, University of Vermont, Burlington; Department of Medicine (T.K.), University of Texas Health Science Center at San Antonio; Department of Neurology (C.L.S., S.S.), Boston University School of Medicine, MA; Institute for Translational Research and Department of Family Medicine (S.O.B.), University of North Texas Health Science Center, Fort Worth; Neurosciences Laboratory (G.M.), Biological Research Institute and Research Institute of Cardiovascular Diseases, Faculty of Medicine, Universidad del Zulia, Maracaibo, Venezuela; and Department of Biomedical Sciences (G.M.), Division of Neurosciences, University of Texas Rio Grande Valley School of Medicine, Brownsville
| | - Jeremy Tanner
- From the Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., G.V., V.P., H.T., A.L., C.-P.W., T.K., C.L.S., J.T., S.S.); Department of Neurology (M.M.G., J.T., S.S.); Department of Population Health Sciences (C.-P.W., C.L.S.), University of Texas Health Science Center, San Antonio; South Texas Veterans Health Care System (C.-P.W.), Geriatric Research, Education and Clinical Center, San Antonio; Departments of Pathology and Laboratory Medicine (D.M.P., R.P.T.), and Biochemistry, Larner College of Medicine, University of Vermont, Burlington; Department of Medicine (T.K.), University of Texas Health Science Center at San Antonio; Department of Neurology (C.L.S., S.S.), Boston University School of Medicine, MA; Institute for Translational Research and Department of Family Medicine (S.O.B.), University of North Texas Health Science Center, Fort Worth; Neurosciences Laboratory (G.M.), Biological Research Institute and Research Institute of Cardiovascular Diseases, Faculty of Medicine, Universidad del Zulia, Maracaibo, Venezuela; and Department of Biomedical Sciences (G.M.), Division of Neurosciences, University of Texas Rio Grande Valley School of Medicine, Brownsville
| | - Sid O'Bryant
- From the Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., G.V., V.P., H.T., A.L., C.-P.W., T.K., C.L.S., J.T., S.S.); Department of Neurology (M.M.G., J.T., S.S.); Department of Population Health Sciences (C.-P.W., C.L.S.), University of Texas Health Science Center, San Antonio; South Texas Veterans Health Care System (C.-P.W.), Geriatric Research, Education and Clinical Center, San Antonio; Departments of Pathology and Laboratory Medicine (D.M.P., R.P.T.), and Biochemistry, Larner College of Medicine, University of Vermont, Burlington; Department of Medicine (T.K.), University of Texas Health Science Center at San Antonio; Department of Neurology (C.L.S., S.S.), Boston University School of Medicine, MA; Institute for Translational Research and Department of Family Medicine (S.O.B.), University of North Texas Health Science Center, Fort Worth; Neurosciences Laboratory (G.M.), Biological Research Institute and Research Institute of Cardiovascular Diseases, Faculty of Medicine, Universidad del Zulia, Maracaibo, Venezuela; and Department of Biomedical Sciences (G.M.), Division of Neurosciences, University of Texas Rio Grande Valley School of Medicine, Brownsville
| | - Gladys Maestre
- From the Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., G.V., V.P., H.T., A.L., C.-P.W., T.K., C.L.S., J.T., S.S.); Department of Neurology (M.M.G., J.T., S.S.); Department of Population Health Sciences (C.-P.W., C.L.S.), University of Texas Health Science Center, San Antonio; South Texas Veterans Health Care System (C.-P.W.), Geriatric Research, Education and Clinical Center, San Antonio; Departments of Pathology and Laboratory Medicine (D.M.P., R.P.T.), and Biochemistry, Larner College of Medicine, University of Vermont, Burlington; Department of Medicine (T.K.), University of Texas Health Science Center at San Antonio; Department of Neurology (C.L.S., S.S.), Boston University School of Medicine, MA; Institute for Translational Research and Department of Family Medicine (S.O.B.), University of North Texas Health Science Center, Fort Worth; Neurosciences Laboratory (G.M.), Biological Research Institute and Research Institute of Cardiovascular Diseases, Faculty of Medicine, Universidad del Zulia, Maracaibo, Venezuela; and Department of Biomedical Sciences (G.M.), Division of Neurosciences, University of Texas Rio Grande Valley School of Medicine, Brownsville
| | - Russell P Tracy
- From the Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., G.V., V.P., H.T., A.L., C.-P.W., T.K., C.L.S., J.T., S.S.); Department of Neurology (M.M.G., J.T., S.S.); Department of Population Health Sciences (C.-P.W., C.L.S.), University of Texas Health Science Center, San Antonio; South Texas Veterans Health Care System (C.-P.W.), Geriatric Research, Education and Clinical Center, San Antonio; Departments of Pathology and Laboratory Medicine (D.M.P., R.P.T.), and Biochemistry, Larner College of Medicine, University of Vermont, Burlington; Department of Medicine (T.K.), University of Texas Health Science Center at San Antonio; Department of Neurology (C.L.S., S.S.), Boston University School of Medicine, MA; Institute for Translational Research and Department of Family Medicine (S.O.B.), University of North Texas Health Science Center, Fort Worth; Neurosciences Laboratory (G.M.), Biological Research Institute and Research Institute of Cardiovascular Diseases, Faculty of Medicine, Universidad del Zulia, Maracaibo, Venezuela; and Department of Biomedical Sciences (G.M.), Division of Neurosciences, University of Texas Rio Grande Valley School of Medicine, Brownsville
| | - Sudha Seshadri
- From the Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (M.M.G., G.V., V.P., H.T., A.L., C.-P.W., T.K., C.L.S., J.T., S.S.); Department of Neurology (M.M.G., J.T., S.S.); Department of Population Health Sciences (C.-P.W., C.L.S.), University of Texas Health Science Center, San Antonio; South Texas Veterans Health Care System (C.-P.W.), Geriatric Research, Education and Clinical Center, San Antonio; Departments of Pathology and Laboratory Medicine (D.M.P., R.P.T.), and Biochemistry, Larner College of Medicine, University of Vermont, Burlington; Department of Medicine (T.K.), University of Texas Health Science Center at San Antonio; Department of Neurology (C.L.S., S.S.), Boston University School of Medicine, MA; Institute for Translational Research and Department of Family Medicine (S.O.B.), University of North Texas Health Science Center, Fort Worth; Neurosciences Laboratory (G.M.), Biological Research Institute and Research Institute of Cardiovascular Diseases, Faculty of Medicine, Universidad del Zulia, Maracaibo, Venezuela; and Department of Biomedical Sciences (G.M.), Division of Neurosciences, University of Texas Rio Grande Valley School of Medicine, Brownsville
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Shvetcov A, Thomson S, Spathos J, Cho AN, Wilkins HM, Andrews SJ, Delerue F, Couttas TA, Issar JK, Isik F, Kaur S, Drummond E, Dobson-Stone C, Duffy SL, Rogers NM, Catchpoole D, Gold WA, Swerdlow RH, Brown DA, Finney CA. Blood-Based Transcriptomic Biomarkers Are Predictive of Neurodegeneration Rather Than Alzheimer's Disease. Int J Mol Sci 2023; 24:15011. [PMID: 37834458 PMCID: PMC10573468 DOI: 10.3390/ijms241915011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Revised: 10/06/2023] [Accepted: 10/07/2023] [Indexed: 10/15/2023] Open
Abstract
Alzheimer's disease (AD) is a growing global health crisis affecting millions and incurring substantial economic costs. However, clinical diagnosis remains challenging, with misdiagnoses and underdiagnoses being prevalent. There is an increased focus on putative, blood-based biomarkers that may be useful for the diagnosis as well as early detection of AD. In the present study, we used an unbiased combination of machine learning and functional network analyses to identify blood gene biomarker candidates in AD. Using supervised machine learning, we also determined whether these candidates were indeed unique to AD or whether they were indicative of other neurodegenerative diseases, such as Parkinson's disease (PD) and amyotrophic lateral sclerosis (ALS). Our analyses showed that genes involved in spliceosome assembly, RNA binding, transcription, protein synthesis, mitoribosomes, and NADH dehydrogenase were the best-performing genes for identifying AD patients relative to cognitively healthy controls. This transcriptomic signature, however, was not unique to AD, and subsequent machine learning showed that this signature could also predict PD and ALS relative to controls without neurodegenerative disease. Combined, our results suggest that mRNA from whole blood can indeed be used to screen for patients with neurodegeneration but may be less effective in diagnosing the specific neurodegenerative disease.
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Affiliation(s)
- Artur Shvetcov
- Department of Psychological Medicine, Sydney Children’s Hospitals Network, Sydney, NSW 2031, Australia
- Discipline of Psychiatry and Mental Health, School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW 2052, Australia
| | - Shannon Thomson
- Neuroinflammation Research Group, Centre for Immunology and Allergy Research, Westmead Institute for Medical Research, Sydney, NSW 2145, Australia
- School of Medical Sciences, Faculty of Medicine Health, The University of Sydney, Sydney, NSW 2050, Australia
| | - Jessica Spathos
- Neuroinflammation Research Group, Centre for Immunology and Allergy Research, Westmead Institute for Medical Research, Sydney, NSW 2145, Australia
| | - Ann-Na Cho
- Dementia Research Centre, Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW 2109, Australia
| | - Heather M. Wilkins
- University of Kansas Alzheimer’s Disease Research Centre, Kansas City, KS 66160, USA
- Department of Biochemistry and Molecular Biology, University of Kansas Medical Centre, Kansas City, KS 66160, USA
- Department of Neurology, University of Kansas Medical Centre, Kansas City, KS 66160, USA
| | - Shea J. Andrews
- Department of Psychiatry & Behavioral Sciences, University of California San Francisco, San Francisco, CA 94143, USA
| | - Fabien Delerue
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Timothy A. Couttas
- Brain and Mind Centre, Translational Research Collective, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2050, Australia
| | - Jasmeen Kaur Issar
- Molecular Neurobiology Research Laboratory, Kids Research, Children’s Medical Research Institute, Children’s Hospital at Westmead, Westmead, NSW 2145, Australia
- Kids Neuroscience Centre, Kids Research, Children’s Hospital at Westmead, Westmead, NSW 2145, Australia
- Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2050, Australia
| | - Finula Isik
- Neuroinflammation Research Group, Centre for Immunology and Allergy Research, Westmead Institute for Medical Research, Sydney, NSW 2145, Australia
- School of Medical Sciences, Faculty of Medicine Health, The University of Sydney, Sydney, NSW 2050, Australia
| | - Simranpreet Kaur
- Murdoch Children’s Research Institute, Royal Children’s Hospital, Parkville, VIC 3052, Australia
- Department of Pediatrics, University of Melbourne, Parkville, VIC 3010, Australia
| | - Eleanor Drummond
- School of Medical Sciences, Faculty of Medicine Health, The University of Sydney, Sydney, NSW 2050, Australia
- Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050, Australia
| | - Carol Dobson-Stone
- School of Medical Sciences, Faculty of Medicine Health, The University of Sydney, Sydney, NSW 2050, Australia
- Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050, Australia
| | - Shantel L. Duffy
- Allied Health, Research and Strategic Partnerships, Nepean Blue Mountains Local Health District, Penrith, NSW 2750, Australia
| | - Natasha M. Rogers
- Centre for Transplant and Renal Research, Westmead Institute for Medical Research, Sydney, NSW 2145, Australia
- Renal and Transplant Medicine Unit, Westmead Hospital, Westmead, NSW 2145, Australia
- Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2050, Australia
| | - Daniel Catchpoole
- The Tumor Bank, Kids Research, Children’s Hospital at Westmead, Westmead, NSW 2145, Australia
- Children’s Cancer Research Institute, Children’s Hospital at Westmead, Westmead, NSW 2145, Australia
| | - Wendy A. Gold
- School of Medical Sciences, Faculty of Medicine Health, The University of Sydney, Sydney, NSW 2050, Australia
- Molecular Neurobiology Research Laboratory, Kids Research, Children’s Medical Research Institute, Children’s Hospital at Westmead, Westmead, NSW 2145, Australia
- Kids Neuroscience Centre, Kids Research, Children’s Hospital at Westmead, Westmead, NSW 2145, Australia
| | - Russell H. Swerdlow
- University of Kansas Alzheimer’s Disease Research Centre, Kansas City, KS 66160, USA
- Department of Biochemistry and Molecular Biology, University of Kansas Medical Centre, Kansas City, KS 66160, USA
- Department of Neurology, University of Kansas Medical Centre, Kansas City, KS 66160, USA
- Department of Molecular and Integrative Physiology, University of Kansas Medical Centre, Kansas City, KS 66160, USA
| | - David A. Brown
- Neuroinflammation Research Group, Centre for Immunology and Allergy Research, Westmead Institute for Medical Research, Sydney, NSW 2145, Australia
- Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2050, Australia
- Department of Immunopathology, Institute for Clinical Pathology and Medical Research-New South Wales Health Pathology, Sydney, NSW 2145, Australia
| | - Caitlin A. Finney
- Neuroinflammation Research Group, Centre for Immunology and Allergy Research, Westmead Institute for Medical Research, Sydney, NSW 2145, Australia
- School of Medical Sciences, Faculty of Medicine Health, The University of Sydney, Sydney, NSW 2050, Australia
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Ramanan VK, Graff-Radford J, Syrjanen J, Shir D, Algeciras-Schimnich A, Lucas J, Martens YA, Carrasquillo MM, Day GS, Ertekin-Taner N, Lachner C, Willis FB, Knopman DS, Jack CR, Petersen RC, Vemuri P, Graff-Radford N, Mielke MM. Association of Plasma Biomarkers of Alzheimer Disease With Cognition and Medical Comorbidities in a Biracial Cohort. Neurology 2023; 101:e1402-e1411. [PMID: 37580163 PMCID: PMC10573134 DOI: 10.1212/wnl.0000000000207675] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 06/06/2023] [Indexed: 08/16/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Recent advances in blood-based biomarkers offer the potential to revolutionize the diagnosis and management of Alzheimer disease (AD), but additional research in diverse populations is critical. We assessed the profiles of blood-based AD biomarkers and their relationships to cognition and common medical comorbidities in a biracial cohort. METHODS Participants were evaluated through the Mayo Clinic Jacksonville Alzheimer Disease Research Center and matched on age, sex, and cognitive status. Plasma AD biomarkers (β-amyloid peptide 1-42 [Aβ42/40], plasma tau phosphorylated at position 181 [p-tau181], glial fibrillary acidic protein [GFAP], and neurofilament light) were measured using the Quanterix SiMoA HD-X analyzer. Cognition was assessed with the Mini-Mental State Examination. Wilcoxon rank sum tests were used to assess for differences in plasma biomarker levels by sex. Linear models tested for associations of self-reported race, chronic kidney disease (CKD), and vascular risk factors with plasma AD biomarker levels. Additional models assessed for interactions between race and plasma biomarkers in predicting cognition. RESULTS The sample comprised African American (AA; N = 267) and non-Hispanic White (NHW; N = 268) participants, including 69% female participants and age range 43-100 (median 80.2) years. Education was higher in NHW participants (median 16 vs 12 years, p < 0.001) while APOE ε4 positivity was higher in AA participants (43% vs 34%; p = 0.04). We observed no differences in plasma AD biomarker levels between AA and NHW participants. These results were unchanged after stratifying by cognitive status (unimpaired vs impaired). Although the p-tau181-cognition association seemed stronger in NHW participants while the Aβ42/40-cognition association seemed stronger in AA participants, these findings did not survive after excluding individuals with CKD. Female participants displayed higher GFAP (177.5 pg/mL vs 157.73 pg/mL; p = 0.002) and lower p-tau181 (2.62 pg/mL vs 3.28 pg/mL; p = 0.001) levels than male participants. Diabetes was inversely associated with GFAP levels (β = -0.01; p < 0.001). DISCUSSION In a biracial community-based sample of adults, we observed that sex differences, CKD, and vascular risk factors, but not self-reported race, contributed to variation in plasma AD biomarkers. Although some prior studies have reported primary effects of race/ethnicity, our results reinforce the need to account for broad-based medical and social determinants of health (including sex, systemic comorbidities, and other factors) in effectively and equitably deploying plasma AD biomarkers in the general population.
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Affiliation(s)
- Vijay K Ramanan
- From the Department of Neurology (V.K.R., J.G.-R., D.S., D.S.K., R.C.P.), Department of Quantitative Health Sciences (J.S., R.C.P.), and Department of Laboratory Medicine and Pathology (A.A.-S.), Mayo Clinic, Rochester, MN; Department of Psychiatry and Psychology (J.L., C.L.), Department of Neuroscience (Y.A.M., M.M.C., G.S.D., N.E.-T.), Department of Neurology (N.E.-T., C.L., N.G.-R.), and Department of Family Medicine (F.B.W.), Mayo Clinic, Jacksonville, FL; Department of Radiology (C.R.J., P.V.), Mayo Clinic, Rochester, MN; and Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC.
| | - Jonathan Graff-Radford
- From the Department of Neurology (V.K.R., J.G.-R., D.S., D.S.K., R.C.P.), Department of Quantitative Health Sciences (J.S., R.C.P.), and Department of Laboratory Medicine and Pathology (A.A.-S.), Mayo Clinic, Rochester, MN; Department of Psychiatry and Psychology (J.L., C.L.), Department of Neuroscience (Y.A.M., M.M.C., G.S.D., N.E.-T.), Department of Neurology (N.E.-T., C.L., N.G.-R.), and Department of Family Medicine (F.B.W.), Mayo Clinic, Jacksonville, FL; Department of Radiology (C.R.J., P.V.), Mayo Clinic, Rochester, MN; and Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC
| | - Jeremy Syrjanen
- From the Department of Neurology (V.K.R., J.G.-R., D.S., D.S.K., R.C.P.), Department of Quantitative Health Sciences (J.S., R.C.P.), and Department of Laboratory Medicine and Pathology (A.A.-S.), Mayo Clinic, Rochester, MN; Department of Psychiatry and Psychology (J.L., C.L.), Department of Neuroscience (Y.A.M., M.M.C., G.S.D., N.E.-T.), Department of Neurology (N.E.-T., C.L., N.G.-R.), and Department of Family Medicine (F.B.W.), Mayo Clinic, Jacksonville, FL; Department of Radiology (C.R.J., P.V.), Mayo Clinic, Rochester, MN; and Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC
| | - Dror Shir
- From the Department of Neurology (V.K.R., J.G.-R., D.S., D.S.K., R.C.P.), Department of Quantitative Health Sciences (J.S., R.C.P.), and Department of Laboratory Medicine and Pathology (A.A.-S.), Mayo Clinic, Rochester, MN; Department of Psychiatry and Psychology (J.L., C.L.), Department of Neuroscience (Y.A.M., M.M.C., G.S.D., N.E.-T.), Department of Neurology (N.E.-T., C.L., N.G.-R.), and Department of Family Medicine (F.B.W.), Mayo Clinic, Jacksonville, FL; Department of Radiology (C.R.J., P.V.), Mayo Clinic, Rochester, MN; and Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC
| | - Alicia Algeciras-Schimnich
- From the Department of Neurology (V.K.R., J.G.-R., D.S., D.S.K., R.C.P.), Department of Quantitative Health Sciences (J.S., R.C.P.), and Department of Laboratory Medicine and Pathology (A.A.-S.), Mayo Clinic, Rochester, MN; Department of Psychiatry and Psychology (J.L., C.L.), Department of Neuroscience (Y.A.M., M.M.C., G.S.D., N.E.-T.), Department of Neurology (N.E.-T., C.L., N.G.-R.), and Department of Family Medicine (F.B.W.), Mayo Clinic, Jacksonville, FL; Department of Radiology (C.R.J., P.V.), Mayo Clinic, Rochester, MN; and Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC
| | - John Lucas
- From the Department of Neurology (V.K.R., J.G.-R., D.S., D.S.K., R.C.P.), Department of Quantitative Health Sciences (J.S., R.C.P.), and Department of Laboratory Medicine and Pathology (A.A.-S.), Mayo Clinic, Rochester, MN; Department of Psychiatry and Psychology (J.L., C.L.), Department of Neuroscience (Y.A.M., M.M.C., G.S.D., N.E.-T.), Department of Neurology (N.E.-T., C.L., N.G.-R.), and Department of Family Medicine (F.B.W.), Mayo Clinic, Jacksonville, FL; Department of Radiology (C.R.J., P.V.), Mayo Clinic, Rochester, MN; and Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC
| | - Yuka A Martens
- From the Department of Neurology (V.K.R., J.G.-R., D.S., D.S.K., R.C.P.), Department of Quantitative Health Sciences (J.S., R.C.P.), and Department of Laboratory Medicine and Pathology (A.A.-S.), Mayo Clinic, Rochester, MN; Department of Psychiatry and Psychology (J.L., C.L.), Department of Neuroscience (Y.A.M., M.M.C., G.S.D., N.E.-T.), Department of Neurology (N.E.-T., C.L., N.G.-R.), and Department of Family Medicine (F.B.W.), Mayo Clinic, Jacksonville, FL; Department of Radiology (C.R.J., P.V.), Mayo Clinic, Rochester, MN; and Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC
| | - Minerva M Carrasquillo
- From the Department of Neurology (V.K.R., J.G.-R., D.S., D.S.K., R.C.P.), Department of Quantitative Health Sciences (J.S., R.C.P.), and Department of Laboratory Medicine and Pathology (A.A.-S.), Mayo Clinic, Rochester, MN; Department of Psychiatry and Psychology (J.L., C.L.), Department of Neuroscience (Y.A.M., M.M.C., G.S.D., N.E.-T.), Department of Neurology (N.E.-T., C.L., N.G.-R.), and Department of Family Medicine (F.B.W.), Mayo Clinic, Jacksonville, FL; Department of Radiology (C.R.J., P.V.), Mayo Clinic, Rochester, MN; and Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC
| | - Gregory S Day
- From the Department of Neurology (V.K.R., J.G.-R., D.S., D.S.K., R.C.P.), Department of Quantitative Health Sciences (J.S., R.C.P.), and Department of Laboratory Medicine and Pathology (A.A.-S.), Mayo Clinic, Rochester, MN; Department of Psychiatry and Psychology (J.L., C.L.), Department of Neuroscience (Y.A.M., M.M.C., G.S.D., N.E.-T.), Department of Neurology (N.E.-T., C.L., N.G.-R.), and Department of Family Medicine (F.B.W.), Mayo Clinic, Jacksonville, FL; Department of Radiology (C.R.J., P.V.), Mayo Clinic, Rochester, MN; and Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC
| | - Nilüfer Ertekin-Taner
- From the Department of Neurology (V.K.R., J.G.-R., D.S., D.S.K., R.C.P.), Department of Quantitative Health Sciences (J.S., R.C.P.), and Department of Laboratory Medicine and Pathology (A.A.-S.), Mayo Clinic, Rochester, MN; Department of Psychiatry and Psychology (J.L., C.L.), Department of Neuroscience (Y.A.M., M.M.C., G.S.D., N.E.-T.), Department of Neurology (N.E.-T., C.L., N.G.-R.), and Department of Family Medicine (F.B.W.), Mayo Clinic, Jacksonville, FL; Department of Radiology (C.R.J., P.V.), Mayo Clinic, Rochester, MN; and Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC
| | - Christian Lachner
- From the Department of Neurology (V.K.R., J.G.-R., D.S., D.S.K., R.C.P.), Department of Quantitative Health Sciences (J.S., R.C.P.), and Department of Laboratory Medicine and Pathology (A.A.-S.), Mayo Clinic, Rochester, MN; Department of Psychiatry and Psychology (J.L., C.L.), Department of Neuroscience (Y.A.M., M.M.C., G.S.D., N.E.-T.), Department of Neurology (N.E.-T., C.L., N.G.-R.), and Department of Family Medicine (F.B.W.), Mayo Clinic, Jacksonville, FL; Department of Radiology (C.R.J., P.V.), Mayo Clinic, Rochester, MN; and Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC
| | - Floyd B Willis
- From the Department of Neurology (V.K.R., J.G.-R., D.S., D.S.K., R.C.P.), Department of Quantitative Health Sciences (J.S., R.C.P.), and Department of Laboratory Medicine and Pathology (A.A.-S.), Mayo Clinic, Rochester, MN; Department of Psychiatry and Psychology (J.L., C.L.), Department of Neuroscience (Y.A.M., M.M.C., G.S.D., N.E.-T.), Department of Neurology (N.E.-T., C.L., N.G.-R.), and Department of Family Medicine (F.B.W.), Mayo Clinic, Jacksonville, FL; Department of Radiology (C.R.J., P.V.), Mayo Clinic, Rochester, MN; and Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC
| | - David S Knopman
- From the Department of Neurology (V.K.R., J.G.-R., D.S., D.S.K., R.C.P.), Department of Quantitative Health Sciences (J.S., R.C.P.), and Department of Laboratory Medicine and Pathology (A.A.-S.), Mayo Clinic, Rochester, MN; Department of Psychiatry and Psychology (J.L., C.L.), Department of Neuroscience (Y.A.M., M.M.C., G.S.D., N.E.-T.), Department of Neurology (N.E.-T., C.L., N.G.-R.), and Department of Family Medicine (F.B.W.), Mayo Clinic, Jacksonville, FL; Department of Radiology (C.R.J., P.V.), Mayo Clinic, Rochester, MN; and Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC
| | - Clifford R Jack
- From the Department of Neurology (V.K.R., J.G.-R., D.S., D.S.K., R.C.P.), Department of Quantitative Health Sciences (J.S., R.C.P.), and Department of Laboratory Medicine and Pathology (A.A.-S.), Mayo Clinic, Rochester, MN; Department of Psychiatry and Psychology (J.L., C.L.), Department of Neuroscience (Y.A.M., M.M.C., G.S.D., N.E.-T.), Department of Neurology (N.E.-T., C.L., N.G.-R.), and Department of Family Medicine (F.B.W.), Mayo Clinic, Jacksonville, FL; Department of Radiology (C.R.J., P.V.), Mayo Clinic, Rochester, MN; and Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC
| | - Ronald C Petersen
- From the Department of Neurology (V.K.R., J.G.-R., D.S., D.S.K., R.C.P.), Department of Quantitative Health Sciences (J.S., R.C.P.), and Department of Laboratory Medicine and Pathology (A.A.-S.), Mayo Clinic, Rochester, MN; Department of Psychiatry and Psychology (J.L., C.L.), Department of Neuroscience (Y.A.M., M.M.C., G.S.D., N.E.-T.), Department of Neurology (N.E.-T., C.L., N.G.-R.), and Department of Family Medicine (F.B.W.), Mayo Clinic, Jacksonville, FL; Department of Radiology (C.R.J., P.V.), Mayo Clinic, Rochester, MN; and Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC
| | - Prashanthi Vemuri
- From the Department of Neurology (V.K.R., J.G.-R., D.S., D.S.K., R.C.P.), Department of Quantitative Health Sciences (J.S., R.C.P.), and Department of Laboratory Medicine and Pathology (A.A.-S.), Mayo Clinic, Rochester, MN; Department of Psychiatry and Psychology (J.L., C.L.), Department of Neuroscience (Y.A.M., M.M.C., G.S.D., N.E.-T.), Department of Neurology (N.E.-T., C.L., N.G.-R.), and Department of Family Medicine (F.B.W.), Mayo Clinic, Jacksonville, FL; Department of Radiology (C.R.J., P.V.), Mayo Clinic, Rochester, MN; and Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC
| | - Neill Graff-Radford
- From the Department of Neurology (V.K.R., J.G.-R., D.S., D.S.K., R.C.P.), Department of Quantitative Health Sciences (J.S., R.C.P.), and Department of Laboratory Medicine and Pathology (A.A.-S.), Mayo Clinic, Rochester, MN; Department of Psychiatry and Psychology (J.L., C.L.), Department of Neuroscience (Y.A.M., M.M.C., G.S.D., N.E.-T.), Department of Neurology (N.E.-T., C.L., N.G.-R.), and Department of Family Medicine (F.B.W.), Mayo Clinic, Jacksonville, FL; Department of Radiology (C.R.J., P.V.), Mayo Clinic, Rochester, MN; and Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC
| | - Michelle M Mielke
- From the Department of Neurology (V.K.R., J.G.-R., D.S., D.S.K., R.C.P.), Department of Quantitative Health Sciences (J.S., R.C.P.), and Department of Laboratory Medicine and Pathology (A.A.-S.), Mayo Clinic, Rochester, MN; Department of Psychiatry and Psychology (J.L., C.L.), Department of Neuroscience (Y.A.M., M.M.C., G.S.D., N.E.-T.), Department of Neurology (N.E.-T., C.L., N.G.-R.), and Department of Family Medicine (F.B.W.), Mayo Clinic, Jacksonville, FL; Department of Radiology (C.R.J., P.V.), Mayo Clinic, Rochester, MN; and Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC
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Martínez-Dubarbie F, Guerra-Ruiz A, López-García S, Lage C, Fernández-Matarrubia M, Infante J, Pozueta-Cantudo A, García-Martínez M, Corrales-Pardo A, Bravo M, López-Hoyos M, Irure-Ventura J, Sánchez-Juan P, García-Unzueta MT, Rodríguez-Rodríguez E. Accuracy of plasma Aβ40, Aβ42, and p-tau181 to detect CSF Alzheimer's pathological changes in cognitively unimpaired subjects using the Lumipulse automated platform. Alzheimers Res Ther 2023; 15:163. [PMID: 37784138 PMCID: PMC10544460 DOI: 10.1186/s13195-023-01319-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Accepted: 09/27/2023] [Indexed: 10/04/2023]
Abstract
BACKGROUND The arrival of new disease-modifying treatments for Alzheimer's disease (AD) requires the identification of subjects at risk in a simple, inexpensive, and non-invasive way. With tools allowing an adequate screening, it would be possible to optimize the use of these treatments. Plasma markers of AD are very promising, but it is necessary to prove that alterations in their levels are related to alterations in gold standard markers such as cerebrospinal fluid or PET imaging. With this research, we want to evaluate the performance of plasma Aβ40, Aβ42, and p-tau181 to detect the pathological changes in CSF using the automated Lumipulse platform. METHODS Both plasma and CSF Aβ40, Aβ42, and p-tau181 have been evaluated in a group of 208 cognitively unimpaired subjects with a 30.3% of ApoE4 carriers. We have correlated plasma and CSF values of each biomarker. Then, we have also assessed the differences in plasma marker values according to amyloid status (A - / +), AD status (considering AD + subjects to those A + plus Tau +), and ATN group defined by CSF. Finally, ROC curves have been performed, and the area under the curve has been measured using amyloid status and AD status as an outcome and different combinations of plasma markers as predictors. RESULTS Aβ42, amyloid ratio, p-tau181, and p-tau181/Aβ42 ratio correlated significantly between plasma and CSF. For these markers, the levels were significantly different in the A + / - , AD + / - , and ATN groups. Amyloid ratio predicts amyloid and AD pathology in CSF with an AUC of 0.89. CONCLUSIONS Plasma biomarkers of AD using the automated Lumipulse platform show good diagnostic performance in detecting Alzheimer's pathology in cognitively unimpaired subjects.
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Affiliation(s)
- Francisco Martínez-Dubarbie
- Neurology Service, Marqués de Valdecilla University Hospital, Avda. de Valdecilla 25, Santander, Cantabria, 39008, Spain.
- Institute for Research Marqués de Valdecilla (IDIVAL), Santander, Cantabria, 39011, Spain.
| | - Armando Guerra-Ruiz
- Biochemistry and Clinical Analysis Department, Marqués de Valdecilla University Hospital, Santander, Cantabria, 39008, Spain
| | - Sara López-García
- Neurology Service, Marqués de Valdecilla University Hospital, Avda. de Valdecilla 25, Santander, Cantabria, 39008, Spain
- Institute for Research Marqués de Valdecilla (IDIVAL), Santander, Cantabria, 39011, Spain
| | - Carmen Lage
- Neurology Service, Marqués de Valdecilla University Hospital, Avda. de Valdecilla 25, Santander, Cantabria, 39008, Spain
- Institute for Research Marqués de Valdecilla (IDIVAL), Santander, Cantabria, 39011, Spain
- Atlantic Fellow for Equity in Brain Health, Global Brain Health Institute, University of California, San Francisco, San Francisco, USA
| | - Marta Fernández-Matarrubia
- Neurology Service, Marqués de Valdecilla University Hospital, Avda. de Valdecilla 25, Santander, Cantabria, 39008, Spain
- Institute for Research Marqués de Valdecilla (IDIVAL), Santander, Cantabria, 39011, Spain
| | - Jon Infante
- Neurology Service, Marqués de Valdecilla University Hospital, Avda. de Valdecilla 25, Santander, Cantabria, 39008, Spain
- Institute for Research Marqués de Valdecilla (IDIVAL), Santander, Cantabria, 39011, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, 28220, Spain
- Medicine and Psychiatry Department, University of Cantabria, Santander, Spain
| | - Ana Pozueta-Cantudo
- Neurology Service, Marqués de Valdecilla University Hospital, Avda. de Valdecilla 25, Santander, Cantabria, 39008, Spain
- Institute for Research Marqués de Valdecilla (IDIVAL), Santander, Cantabria, 39011, Spain
| | - María García-Martínez
- Neurology Service, Marqués de Valdecilla University Hospital, Avda. de Valdecilla 25, Santander, Cantabria, 39008, Spain
- Institute for Research Marqués de Valdecilla (IDIVAL), Santander, Cantabria, 39011, Spain
| | - Andrea Corrales-Pardo
- Neurology Service, Marqués de Valdecilla University Hospital, Avda. de Valdecilla 25, Santander, Cantabria, 39008, Spain
- Institute for Research Marqués de Valdecilla (IDIVAL), Santander, Cantabria, 39011, Spain
- Universidad Europea del Atlántico, Santander, Spain
| | - María Bravo
- Neurology Service, Marqués de Valdecilla University Hospital, Avda. de Valdecilla 25, Santander, Cantabria, 39008, Spain
- Institute for Research Marqués de Valdecilla (IDIVAL), Santander, Cantabria, 39011, Spain
| | - Marcos López-Hoyos
- Institute for Research Marqués de Valdecilla (IDIVAL), Santander, Cantabria, 39011, Spain
- Immunology Department, Marqués de Valdecilla University Hospital, Santander, Spain
- Molecular Biology Department, University of Cantabria, Santander, Spain
| | - Juan Irure-Ventura
- Institute for Research Marqués de Valdecilla (IDIVAL), Santander, Cantabria, 39011, Spain
- Immunology Department, Marqués de Valdecilla University Hospital, Santander, Spain
| | - Pascual Sánchez-Juan
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, 28220, Spain
- CIEN Foundation/Queen Sofia Foundation Alzheimer Center, Madrid, 28220, Spain
| | - María Teresa García-Unzueta
- Institute for Research Marqués de Valdecilla (IDIVAL), Santander, Cantabria, 39011, Spain
- Biochemistry and Clinical Analysis Department, Marqués de Valdecilla University Hospital, Santander, Cantabria, 39008, Spain
| | - Eloy Rodríguez-Rodríguez
- Neurology Service, Marqués de Valdecilla University Hospital, Avda. de Valdecilla 25, Santander, Cantabria, 39008, Spain
- Institute for Research Marqués de Valdecilla (IDIVAL), Santander, Cantabria, 39011, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, 28220, Spain
- Medicine and Psychiatry Department, University of Cantabria, Santander, Spain
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Imbimbo BP, Watling M, Imbimbo C, Nisticò R. Plasma ATN(I) classification and precision pharmacology in Alzheimer's disease. Alzheimers Dement 2023; 19:4729-4734. [PMID: 37079778 DOI: 10.1002/alz.13084] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 03/15/2023] [Accepted: 03/15/2023] [Indexed: 04/22/2023]
Abstract
Evaluating potential therapies for Alzheimer's disease (AD) depends on use of biomarkers for appropriate subject selection and monitoring disease progression. Biomarkers that predict onset of clinical symptoms are particularly important for AD because they enable intervention before irreversible neurodegeneration occurs. The amyloid-β-tau-neurodegeneration (ATN) classification system is currently used as a biological staging model for AD and is based on three classes of biomarkers evaluating amyloid-β (Aβ), tau pathology and neurodegeneration or neuronal injury. Promising blood-based biomarkers for each of these categories have been identified (Aβ42/Aβ40 ratio, phosphorylated tau, neurofilament light chain), and this matrix is now being expanded toward an ATN(I) system, where "I" represents a neuroinflammatory biomarker. The plasma ATN(I) system, together with APOE genotyping, offers a basis for individualized evaluation and a move away from the classic "one size fits all" approach toward a biomarker-driven individualisation of therapy for patients with AD.
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Affiliation(s)
- Bruno P Imbimbo
- Department of Research & Development, Chiesi Farmaceutici, Parma, Italy
| | - Mark Watling
- Independent Scholar (formerly at TranScrip Ltd, Reading, UK), Ruthin, UK
| | - Camillo Imbimbo
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Robert Nisticò
- Department of Biology, School of Pharmacy, University of Tor Vergata, and European Brain Research Institute (EBRI), Rome, Italy
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158
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Li H, Tan CC, Tan L, Xu W. Predictors of cognitive deterioration in subjective cognitive decline: evidence from longitudinal studies and implications for SCD-plus criteria. J Neurol Neurosurg Psychiatry 2023; 94:844-854. [PMID: 36868847 DOI: 10.1136/jnnp-2022-330246] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 01/28/2023] [Indexed: 03/05/2023]
Abstract
BACKGROUND Subjective cognitive decline (SCD) is an early manifestation of cognitive deterioration (CD) in some individuals. Therefore, it is worthwhile to conduct a systematic review and meta-analysis to summarise predictors of CD among individuals with SCD. METHOD PubMed, Embase, and Cochrane Library were searched until May 2022. Longitudinal studies that assessed factors associated with CD in SCD population were included. Multivariable-adjusted effect estimates were pooled using random-effects models. The credibility of evidence was assessed. The study protocol was registered with PROSPERO. RESULTS A total of 69 longitudinal studies were identified for systematic review, of which 37 were included for the meta-analysis. The mean conversion rate of SCD to any CD was 19.8%, including all-cause dementia (7.3%) and Alzheimer's disease (4.9%). Sixteen factors (66.67%) were found as predictors, including 5 SCD features (older age at onset, stable SCD, both self- and informant-reported SCD, worry and SCD in the memory clinic), 4 biomarkers (cerebral amyloid β-protein deposition, lower scores of Hulstaert formula, higher total tau in the cerebrospinal fluid and hippocampus atrophy), 4 modifiable factors (lower education, depression, anxiety and current smoking), 2 unmodifiable factors (apolipoprotein E4 and older age) and worse performance on Trail Making Test B. The robustness of overall evidence was impaired by risk of bias and heterogeneity. CONCLUSION This study constructed a risk factor profile for SCD to CD conversion, supporting and supplementing the existing list of features for identifying SCD populations at high risk of objective cognitive decline or dementia. These findings could promote early identification and management of high-risk populations to delay dementia onset. PROSPERO REGISTRATION NUMBER CRD42021281757.
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Affiliation(s)
- Han Li
- Neurology department, Qingdao Municipal Hospital Group, Qingdao University, Qingdao, Shandong, China
- Medical College, Qingdao University, Qingdao, China
| | - Chen-Chen Tan
- Neurology department, Qingdao Municipal Hospital Group, Qingdao University, Qingdao, Shandong, China
| | - Lan Tan
- Neurology department, Qingdao Municipal Hospital Group, Qingdao University, Qingdao, Shandong, China
| | - Wei Xu
- Neurology department, Qingdao Municipal Hospital Group, Qingdao University, Qingdao, Shandong, China
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159
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Leung JM, Rojas JC, Tang C, Chan B, Lario-Lago A, Boxer AL, Do Q, Kramer JH, Du Z, Du P, Sands LP. Presence of Preoperative Neurodegeneration Biofluid Markers in Patients with Postoperative Delirium. Anesthesiology 2023; 139:432-443. [PMID: 37364279 PMCID: PMC10529495 DOI: 10.1097/aln.0000000000004666] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/28/2023]
Abstract
BACKGROUND The pathophysiology of delirium is incompletely understood, including what molecular pathways are involved in brain vulnerability to delirium. This study examined whether preoperative plasma neurodegeneration markers were elevated in patients who subsequently developed postoperative delirium through a retrospective case-control study. METHODS Inclusion criteria were patients of 65 yr of age or older, undergoing elective noncardiac surgery with a hospital stay of 2 days or more. Concentrations of preoperative plasma P-Tau181, neurofilament light chain, amyloid β1-42 (Aβ42), and glial fibrillary acidic protein were measured with a digital immunoassay platform. The primary outcome was postoperative delirium measured by the Confusion Assessment Method. The study included propensity score matching by age and sex with nearest neighbor, such that each patient in the delirium group was matched by age and sex with a patient in the no-delirium group. RESULTS The initial cohort consists of 189 patients with no delirium and 102 patients who developed postoperative delirium. Of 291 patients aged 72.5 ± 5.8 yr, 50.5% were women, and 102 (35%) developed postoperative delirium. The final cohort in the analysis consisted of a no-delirium group (n = 102) and a delirium group (n = 102) matched by age and sex using the propensity score method. Of the four biomarkers assayed, the median value for neurofilament light chain was 32.05 pg/ml for the delirium group versus 23.7 pg/ml in the no-delirium group. The distribution of biomarker values significantly differed between the delirium and no-delirium groups (P = 0.02 by the Kolmogorov-Smirnov test) with the largest cumulative probability difference appearing at the biomarker value of 32.05 pg/ml. CONCLUSIONS These results suggest that patients who subsequently developed delirium are more likely to be experiencing clinically silent neurodegenerative changes before surgery, reflected by changes in plasma neurofilament light chain biomarker concentrations, which may identify individuals with a preoperative vulnerability to subsequent cognitive decline. EDITOR’S PERSPECTIVE
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Affiliation(s)
- Jacqueline M Leung
- Department of Anesthesia and Perioperative Care, University of California San Francisco, San Francisco, California
| | - Julio C Rojas
- Memory and Aging Center, Department of Neurology, Weill institute for Neurosciences, University of California San Francisco, San Francisco, California
| | - Christopher Tang
- Department of Anesthesia and Perioperative Care, University of California San Francisco, San Francisco, California
| | - Brandon Chan
- Memory and Aging Center, Department of Neurology, Weill institute for Neurosciences, University of California San Francisco, San Francisco, California
| | - Argentina Lario-Lago
- Memory and Aging Center, Department of Neurology, Weill institute for Neurosciences, University of California San Francisco, San Francisco, California
| | - Adam L Boxer
- Memory and Aging Center, Department of Neurology, Weill institute for Neurosciences, University of California San Francisco, San Francisco, California
| | - Quyen Do
- Department of Statistics, Virginia Tech, Blacksburg, Virginia
| | - Joel H Kramer
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California
| | - Zhiyuan Du
- Department of Statistics, Virginia Tech, Blacksburg, Virginia
| | - Pang Du
- Department of Statistics, Virginia Tech, Blacksburg, Virginia
| | - Laura P Sands
- Center for Gerontology, Virginia Tech, Blacksburg, Virginia
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160
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Bilgel M, An Y, Walker KA, Moghekar AR, Ashton NJ, Kac PR, Karikari TK, Blennow K, Zetterberg H, Jedynak BM, Thambisetty M, Ferrucci L, Resnick SM. Longitudinal changes in Alzheimer's-related plasma biomarkers and brain amyloid. Alzheimers Dement 2023; 19:4335-4345. [PMID: 37216632 PMCID: PMC10592628 DOI: 10.1002/alz.13157] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 04/25/2023] [Accepted: 04/25/2023] [Indexed: 05/24/2023]
Abstract
INTRODUCTION Understanding longitudinal plasma biomarker trajectories relative to brain amyloid changes can help devise Alzheimer's progression assessment strategies. METHODS We examined the temporal order of changes in plasma amyloid-β ratio (A β 42 / A β 40 ${{\rm A}\beta }_{42}/{{\rm A}\beta }_{40}$ ), glial fibrillary acidic protein (GFAP), neurofilament light chain (NfL), and phosphorylated tau ratios (p-tau181 / A β 42 $\text{p-tau181}/\mathrm{A}{\beta}_{42}$ ,p-tau231 / A β 42 $\text{p-tau231}/\mathrm{A}{\beta}_{42}$ ) relative to 11 C-Pittsburgh compound B (PiB) positron emission tomography (PET) cortical amyloid burden (PiB-/+). Participants (n = 199) were cognitively normal at index visit with a median 6.1-year follow-up. RESULTS PiB groups exhibited different rates of longitudinal change inA β 42 / A β 40 ( β = 5.41 × 10 - 4 , SE = 1.95 × 10 - 4 , p = 0.0073 ) ${{\rm A}\beta }_{42}/{{\rm A}\beta }_{40}\ ( {\beta \ = \ 5.41 \times {{10}}^{ - 4},{\rm{\ SE\ }} = \ 1.95 \times {{10}}^{ - 4},\ p\ = \ 0.0073} )$ . Change in brain amyloid correlated with change in GFAP (r = 0.5, 95% CI = [0.26, 0.68]). The greatest relative decline inA β 42 / A β 40 ${{\rm A}\beta }_{42}/{{\rm A}\beta }_{40}$ (-1%/year) preceded brain amyloid positivity by 41 years (95% CI = [32, 53]). DISCUSSION PlasmaA β 42 / A β 40 ${{\rm A}\beta }_{42}/{{\rm A}\beta }_{40}$ may begin declining decades prior to brain amyloid accumulation, whereas p-tau ratios, GFAP, and NfL increase closer in time. HIGHLIGHTS PlasmaA β 42 / A β 40 ${{\rm A}\beta }_{42}/{{\rm A}\beta }_{40}$ declines over time among PiB- but does not change among PiB+. Phosphorylated-tau to Aβ42 ratios increase over time among PiB+ but do not change among PiB-. Rate of change in brain amyloid is correlated with change in GFAP and neurofilament light chain. The greatest decline inA β 42 / A β 40 ${{\rm A}\beta }_{42}/{{\rm A}\beta }_{40}$ may precede brain amyloid positivity by decades.
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Affiliation(s)
- Murat Bilgel
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, Maryland, 21224, USA
| | - Yang An
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, Maryland, 21224, USA
| | - Keenan A. Walker
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, Maryland, 21224, USA
| | - Abhay R. Moghekar
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, 21287, USA
| | - Nicholas J. Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, 431 80 Mölndal, Sweden
- King’s College London, Institute of Psychiatry, Psychology and Neuroscience, Maurice Wohl Clinical Neuroscience Institute, London, SE5 9RX, UK
- NIHR Biomedical Research Centre for Mental Health and Biomedical Research, Unit for Dementia at South London and Maudsley, NHS Foundation, London, SE5 8AF, UK
- Centre for Age-Related Medicine, Stavanger University Hospital, 4019 Stavanger, Norway
| | - Przemysław R. Kac
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, 431 80 Mölndal, Sweden
| | - Thomas K. Karikari
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, 431 80 Mölndal, Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, 431 80 Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, 431 80 Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, 431 80 Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, 431 80 Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
- UK Dementia Research Institute at UCL, London, WC1E 6BT, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53792, USA
| | - Bruno M. Jedynak
- Department of Mathematics and Statistics, Portland State University, Portland, Oregon, 97201, USA
| | - Madhav Thambisetty
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, Maryland, 21224, USA
| | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute on Aging, Baltimore, Maryland, 21224, USA
| | - Susan M. Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, Maryland, 21224, USA
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161
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Zhang X, Liu H, Huang Y, Wang R. A meta-analysis of neurogenic exosomes in the diagnosis of Alzheimer's disease. Heliyon 2023; 9:e20604. [PMID: 37817991 PMCID: PMC10560781 DOI: 10.1016/j.heliyon.2023.e20604] [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: 02/08/2023] [Revised: 07/22/2023] [Accepted: 10/01/2023] [Indexed: 10/12/2023] Open
Abstract
Background Alzheimer's disease (AD) is an irreversible and difficult-to-treat neurodegenerative disease. It is necessary to search for reliable biomarkers for the early diagnosis of AD in a timely and effective manner in high-risk or preclinical AD populations. Studies have shown that neurogenic exosomes in the blood can be effectively used as biomarkers for AD. Objective In this meta-analysis, we aimed to find reliable biomarkers (Aβ42, T-tau, and P-tau181 in peripheral blood neurogenic exosomes) for the early diagnosis of AD to provide theoretical support for the early diagnosis of high-risk or preclinical AD populations. Methods By searching the literature database, relevant studies on AD diagnostic markers were collected. The study period was from April 1, 2012, to April 1, 2022. The average concentrations of Aβ42, T-tau, and P-tau181 in the exosomes of the AD group and healthy control group were compared using RevMan 5.3 software. Results A total of 13 studies were screened, including 842 subjects. Meta-analysis showed that the combined SMD value of neurogenic exosome Aβ42 was 1.70 (95% CI = [1.20,2.20], Z = 6.69, P < 0.05). The combined SMD value of T-tau was 1.02 (95% CI = [0.27,1.77], Z = 2.67, P < 0.05). The combined SMD value of P-tau181 was 1.75 (95% CI = [1.16, 2.35], Z = 5.75, P < 0.05). The levels of neurogenic exosomes Aβ42, T-tau, and P-tau181 in AD patients were significantly higher than those in healthy controls. Conclusion Aβ42, T-tau, and P-tau181 in blood neurogenic exosomes can be effectively used as biomarkers for AD and can be applied in the diagnosis, screening, prognosis prediction and disease monitoring of AD.
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Affiliation(s)
- Xin Zhang
- Neurobiology Institute, School of Public Health, North China University of Science and Technology, Tangshan, Hebei 063210, China
- Dementia and Dyscognitive Key Lab., Tangshan, Hebei 063000, China
| | - Huiyu Liu
- Neurobiology Institute, School of Public Health, North China University of Science and Technology, Tangshan, Hebei 063210, China
- Dementia and Dyscognitive Key Lab., Tangshan, Hebei 063000, China
| | - Yuanyuan Huang
- Dementia and Dyscognitive Key Lab., Tangshan, Hebei 063000, China
- School Basic Medical Sciences, Hebei Key Laboratory for Chronic Diseases, North China University of Science and Technology, Tangshan, Hebei 063210, China
| | - Ruimin Wang
- Neurobiology Institute, School of Public Health, North China University of Science and Technology, Tangshan, Hebei 063210, China
- Dementia and Dyscognitive Key Lab., Tangshan, Hebei 063000, China
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162
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Suridjan I, van der Flier WM, Monsch AU, Burnie N, Baldor R, Sabbagh M, Vilaseca J, Cai D, Carboni M, Lah JJ. Blood-based biomarkers in Alzheimer's disease: Future directions for implementation. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2023; 15:e12508. [PMID: 38058357 PMCID: PMC10696162 DOI: 10.1002/dad2.12508] [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: 06/23/2023] [Revised: 09/22/2023] [Accepted: 10/30/2023] [Indexed: 12/08/2023]
Abstract
INTRODUCTION Disease-modifying therapies (DMTs) for Alzheimer's disease (AD) will increase diagnostic demand. A non-invasive blood-based biomarker (BBBM) test for detection of amyloid-β pathology may reduce diagnostic barriers and facilitate DMT initiation. OBJECTIVE To explore heterogeneity in AD care pathways and potential role of BBBM tests. METHODS Survey of 213 healthcare professionals/payers in US/China/UK/Germany/Spain/France and two advisory boards (US/Europe). RESULTS Current diagnostic pathways are heterogeneous, meaning many AD patients are missed while low-risk patients undergo unnecessary procedures. Confirmatory amyloid testing (cerebrospinal fluid biomarkers/positron emission tomography) is utilized in few patients, resulting in diagnostic/treatment delays. A high negative-predictive-value test could streamline the diagnostic pathway by reducing unnecessary procedures in low-risk patients; supporting confirmatory testing where needed. Imminent approval of DMTs will increase need for fast and reliable AD diagnostic tests. DISCUSSION An easy-to-use, accurate, non-invasive BBBM test for amyloid pathology could guide diagnostic procedures or referral, streamlining early diagnosis and DMT initiation. Highlights This study explored AD care pathways and how BBBM may meet diagnostic demandsCurrent diagnostic pathways are heterogeneous, with country and setting variationsMany AD patients are missed, while low-risk patients undergo unnecessary proceduresAn easy-to-use, accurate, non-invasive BBBM test for amyloid pathology is neededThis test could streamline early diagnosis of amyloid pathology and DMT initiation.
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Affiliation(s)
| | - Wiesje M. van der Flier
- Alzheimer Center AmsterdamNeurology, Epidemiology and Data Science, Vrije Universiteit AmsterdamAmsterdam UMC location VUmcAmsterdamThe Netherlands
- Amsterdam NeuroscienceNeurodegenerationAmsterdamThe Netherlands
| | - Andreas U. Monsch
- Memory ClinicUniversity Department of Geriatric Medicine FELIX PLATTERBaselSwitzerland
| | | | - Robert Baldor
- Department of Family Medicine and Community HealthUMass Chan Medical School, North WorcesterMassachusettsUSA
| | - Marwan Sabbagh
- Barrow Neurological InstituteDignity Health/St Joseph's Hospital and Medical CenterPhoenixArizonaUSA
| | - Josep Vilaseca
- Department of MedicineUniversitat de Vic‐Central Catalonia UniversityVicSpain
- Primary Health Care ServiceAlthaia Foundation ‐ Clinical and University Network in Manresa, Dr. Joan SolerManresaSpain
| | - Dongming Cai
- Alzheimer's Disease Research CenterIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
- N. Bud Grossman Center for Memory Research and CareUniversity of MinnesotaMinneapolisMinnesotaUSA
- Geriatric ResearchEducation and Clinical Center (GRECC)Minneapolis VA Health Care System, One Veterans DrMinneapolisMinnesotaUSA
| | | | - James J. Lah
- Goizueta Alzheimer's Disease Research CenterEmory University School of MedicineAtlantaGeorgiaUSA
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163
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Monane M, Johnson KG, Snider BJ, Turner RS, Drake JD, Maraganore DM, Bicksel JL, Jacobs DH, Ortega JL, Henderson J, Jiang Y, Huang S, Coppinger J, Fogelman I, West T, Braunstein JB. A blood biomarker test for brain amyloid impacts the clinical evaluation of cognitive impairment. Ann Clin Transl Neurol 2023; 10:1738-1748. [PMID: 37550958 PMCID: PMC10578891 DOI: 10.1002/acn3.51863] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 07/06/2023] [Accepted: 07/09/2023] [Indexed: 08/09/2023] Open
Abstract
OBJECTIVE The objective of this study was to examine clinicians' patient selection and result interpretation of a clinically validated mass spectrometry test measuring amyloid beta and ApoE blood biomarkers combined with patient age (PrecivityAD® blood test) in symptomatic patients evaluated for Alzheimer's disease (AD) or other causes of cognitive decline. METHODS The Quality Improvement and Clinical Utility PrecivityAD Clinician Survey (QUIP I, ClinicalTrials.gov Identifier: NCT05477056) was a prospective, single-arm cohort study among 366 patients evaluated by neurologists and other cognitive specialists. Participants underwent blood biomarker testing and received an amyloid probability score (APS), indicating the likelihood of a positive result on an amyloid positron emission tomography (PET) scan. The primary study outcomes were appropriateness of patient selection as well as result interpretation associated with PrecivityAD blood testing. RESULTS A 95% (347/366) concordance rate was noted between clinicians' patient selection and the test's intended use criteria. In the final analysis including these 347 patients (median age 75 years, 56% women), prespecified test result categories incorporated 133 (38%) low APS, 162 (47%) high APS, and 52 (15%) intermediate APS patients. Clinicians' pretest and posttest AD diagnosis probability changed from 58% to 23% in low APS patients and 71% to 89% in high APS patients (p < 0.0001). Anti-AD drug therapy decreased by 46% in low APS patients (p < 0.0001) and increased by 57% in high APS patients (p < 0.0001). INTERPRETATION These findings demonstrate the clinical utility of the PrecivityAD blood test in clinical care and may have added relevance as new AD therapies are introduced.
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Affiliation(s)
| | - Kim G. Johnson
- Department of Psychiatry & Behavioral SciencesDuke UniversityDurhamNorth CarolinaUSA
| | - B. Joy Snider
- Washington University School of MedicineSt. LouisMissouriUSA
| | | | - Jonathan D. Drake
- Warren Alpert Medical School at Brown UniversityProvidenceRhode IslandUSA
| | | | | | | | | | | | | | | | | | | | - Tim West
- C2N Diagnostics, LLCSt. LouisMissouriUSA
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164
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Orobets KS, Karamyshev AL. Amyloid Precursor Protein and Alzheimer's Disease. Int J Mol Sci 2023; 24:14794. [PMID: 37834241 PMCID: PMC10573485 DOI: 10.3390/ijms241914794] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Revised: 09/20/2023] [Accepted: 09/26/2023] [Indexed: 10/15/2023] Open
Abstract
Alzheimer's disease (AD) is one of the most common neurodegenerative disorders associated with age or inherited mutations. It is characterized by severe dementia in the late stages that affect memory, cognitive functions, and daily life overall. AD progression is linked to the accumulation of cytotoxic amyloid beta (Aβ) and hyperphosphorylated tau protein combined with other pathological features such as synaptic loss, defective energy metabolism, imbalances in protein, and metal homeostasis. Several treatment options for AD are under investigation, including antibody-based therapy and stem cell transplantation. Amyloid precursor protein (APP) is a membrane protein considered to play a main role in AD pathology. It is known that APP in physiological conditions follows a non-amyloidogenic pathway; however, it can proceed to an amyloidogenic scenario, which leads to the generation of extracellular deleterious Aβ plaques. Not all steps of APP biogenesis are clear so far, and these questions should be addressed in future studies. AD is a complex chronic disease with many factors that contribute to disease progression.
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Affiliation(s)
| | - Andrey L. Karamyshev
- Department of Cell Biology and Biochemistry, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA;
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165
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Zou Y, Li L, Guan L, Ma C, Yu S, Ma X, Mao C, Gao J, Qiu L. Research trends and hotspots of glial fibrillary acidic protein within the area of Alzheimer's disease: a bibliometric analysis. Front Aging Neurosci 2023; 15:1196272. [PMID: 37829140 PMCID: PMC10565806 DOI: 10.3389/fnagi.2023.1196272] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 09/01/2023] [Indexed: 10/14/2023] Open
Abstract
Objective Our aim was to analyze the trends and hotspots on glial fibrillary acidic protein (GFAP) within the area of Alzheimer's disease (AD) by using a bibliometric method, which is currently missing. Methods All articles and reviews on GFAP within the area of AD from inception to December 31, 2022, were searched from the Web of Science Core Collection. Full records were derived, imported into Microsoft Excel, and analyzed by BIBLIOMETRC, VOSviewer, and CiteSpace. Results In total, 2,269 publications, including 2,166 articles, were ultimately included. The number of publications from 81 countries/regions and 527 academic journals increased annually. The top three prolific countries and institutions were the USA, China, and England, the University of Gothenburg (Sweden), Universidade Federal Rio Grande do Sul (Brasilia), and UCL Queen Square Institute of Neurology (England). Henrik Zetterberg from the University of Gothenburg, Kaj Blennow from the University of Gothenburg, and Alexei Verkhratsky from the University of Manchester were the top three prolific and cited authors; Journal of Alzheimer's Disease, Brain Research, and Neuroscience contributed the most publications. The top key areas of research included "molecular, biology, and genetics" and "molecular, biology, and immunology," and the top published and linked meaningful keywords included oxidative stress, inflammation/neuroinflammation, microglia, hippocampus, amyloid, cognitive impairment, tau, and dysfunction. Conclusion Based on the bibliometric analysis, the number of publications on GFAP within the area of AD has been rapidly increasing, especially in the past several years. Oxidative stress and inflammation are research hotspots, and GFAP in body fluids, especially blood, could be used for large-scale screening for AD.
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Affiliation(s)
- Yutong Zou
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China
| | - Lei Li
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China
| | - Lihua Guan
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China
| | - Chaochao Ma
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China
| | - Songlin Yu
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China
| | - Xiaoli Ma
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China
- Medical Science Research Center (MRC), Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Chenhui Mao
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Jing Gao
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Ling Qiu
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China
- State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
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Hampel H, Hu Y, Cummings J, Mattke S, Iwatsubo T, Nakamura A, Vellas B, O'Bryant S, Shaw LM, Cho M, Batrla R, Vergallo A, Blennow K, Dage J, Schindler SE. Blood-based biomarkers for Alzheimer's disease: Current state and future use in a transformed global healthcare landscape. Neuron 2023; 111:2781-2799. [PMID: 37295421 PMCID: PMC10720399 DOI: 10.1016/j.neuron.2023.05.017] [Citation(s) in RCA: 31] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Revised: 03/03/2023] [Accepted: 05/19/2023] [Indexed: 06/12/2023]
Abstract
Timely detection of the pathophysiological changes and cognitive impairment caused by Alzheimer's disease (AD) is increasingly pressing because of the advent of biomarker-guided targeted therapies that may be most effective when provided early in the disease. Currently, diagnosis and management of early AD are largely guided by clinical symptoms. FDA-approved neuroimaging and cerebrospinal fluid biomarkers can aid detection and diagnosis, but the clinical implementation of these testing modalities is limited because of availability, cost, and perceived invasiveness. Blood-based biomarkers (BBBMs) may enable earlier and faster diagnoses as well as aid in risk assessment, early detection, prognosis, and management. Herein, we review data on BBBMs that are closest to clinical implementation, particularly those based on measures of amyloid-β peptides and phosphorylated tau species. We discuss key parameters and considerations for the development and potential deployment of these BBBMs under different contexts of use and highlight challenges at the methodological, clinical, and regulatory levels.
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Affiliation(s)
- Harald Hampel
- Alzheimer's Disease and Brain Health, Eisai Inc., Nutley, NJ, USA.
| | - Yan Hu
- Alzheimer's Disease and Brain Health, Eisai Inc., Nutley, NJ, USA.
| | - Jeffrey Cummings
- Chambers-Grundy Center for Transformative Neuroscience, Pam Quirk Brain Health and Biomarker Laboratory, Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas (UNLV), Las Vegas, NV, USA
| | - Soeren Mattke
- Center for Improving Chronic Illness Care, University of Southern California, Los Angeles, CA, USA
| | - Takeshi Iwatsubo
- Department of Neuropathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Akinori Nakamura
- Department of Biomarker Research, National Center for Geriatrics and Gerontology, Obu, Japan; Department of Cognition and Behavior Science, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Bruno Vellas
- University Paul Sabatier, Gérontopôle, Toulouse University Hospital, UMR INSERM 1285, Toulouse, France
| | - Sid O'Bryant
- Institute for Translational Research, Texas College of Osteopathic Medicine, Department of Family Medicine, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Leslie M Shaw
- Perelman School of Medicine, Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Min Cho
- Alzheimer's Disease and Brain Health, Eisai Inc., Nutley, NJ, USA
| | - Richard Batrla
- Alzheimer's Disease and Brain Health, Eisai Inc., Nutley, NJ, USA
| | - Andrea Vergallo
- Alzheimer's Disease and Brain Health, Eisai Inc., Nutley, NJ, USA
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Jeffrey Dage
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Suzanne E Schindler
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
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167
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Chaparro CIP, Simões BT, Borges JP, Castanho MARB, Soares PIP, Neves V. A Promising Approach: Magnetic Nanosystems for Alzheimer's Disease Theranostics. Pharmaceutics 2023; 15:2316. [PMID: 37765284 PMCID: PMC10536416 DOI: 10.3390/pharmaceutics15092316] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 09/06/2023] [Accepted: 09/08/2023] [Indexed: 09/29/2023] Open
Abstract
Among central nervous system (CNS) disorders, Alzheimer's disease (AD) is the most prevalent neurodegenerative disorder and a major cause of dementia worldwide. The yet unclear etiology of AD and the high impenetrability of the blood-brain barrier (BBB) limit most therapeutic compounds from reaching the brain. Although many efforts have been made to effectively deliver drugs to the CNS, both invasive and noninvasive strategies employed often come with associated side effects. Nanotechnology-based approaches such as nanoparticles (NPs), which can act as multifunctional platforms in a single system, emerged as a potential solution for current AD theranostics. Among these, magnetic nanoparticles (MNPs) are an appealing strategy since they can act as contrast agents for magnetic resonance imaging (MRI) and as drug delivery systems. The nanocarrier functionalization with specific moieties, such as peptides, proteins, and antibodies, influences the particles' interaction with brain endothelial cell constituents, facilitating transport across the BBB and possibly increasing brain penetration. In this review, we introduce MNP-based systems, combining surface modifications with the particles' physical properties for molecular imaging, as a novel neuro-targeted strategy for AD theranostics. The main goal is to highlight the potential of multifunctional MNPs and their advances as a dual nanotechnological diagnosis and treatment platform for neurodegenerative disorders.
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Affiliation(s)
- Catarina I. P. Chaparro
- Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisbon, Portugal; (C.I.P.C.); (B.T.S.); (M.A.R.B.C.)
- i3N/CENIMAT, Department of Materials Science, NOVA School of Science and Technology, NOVA University of Lisbon, Campus de Caparica, 2829-516 Caparica, Portugal;
| | - Beatriz T. Simões
- Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisbon, Portugal; (C.I.P.C.); (B.T.S.); (M.A.R.B.C.)
| | - João P. Borges
- i3N/CENIMAT, Department of Materials Science, NOVA School of Science and Technology, NOVA University of Lisbon, Campus de Caparica, 2829-516 Caparica, Portugal;
| | - Miguel A. R. B. Castanho
- Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisbon, Portugal; (C.I.P.C.); (B.T.S.); (M.A.R.B.C.)
| | - Paula I. P. Soares
- i3N/CENIMAT, Department of Materials Science, NOVA School of Science and Technology, NOVA University of Lisbon, Campus de Caparica, 2829-516 Caparica, Portugal;
| | - Vera Neves
- Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisbon, Portugal; (C.I.P.C.); (B.T.S.); (M.A.R.B.C.)
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168
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Self WK, Holtzman DM. Emerging diagnostics and therapeutics for Alzheimer disease. Nat Med 2023; 29:2187-2199. [PMID: 37667136 DOI: 10.1038/s41591-023-02505-2] [Citation(s) in RCA: 49] [Impact Index Per Article: 49.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 07/18/2023] [Indexed: 09/06/2023]
Abstract
Alzheimer disease (AD) is the most common contributor to dementia in the world, but strategies that slow or prevent its clinical progression have largely remained elusive, until recently. This Review highlights the latest advances in biomarker technologies and therapeutic development to improve AD diagnosis and treatment. We review recent results that enable pathological staging of AD with neuroimaging and fluid-based biomarkers, with a particular emphasis on the role of amyloid, tau and neuroinflammation in disease pathogenesis. We discuss the lessons learned from randomized controlled trials, including some supporting the proposal that certain anti-amyloid antibodies slow cognitive decline during the mildly symptomatic phase of AD. In addition, we highlight evidence for newly identified therapeutic targets that may be able to modify AD pathogenesis and progression. Collectively, these recent discoveries-and the research directions that they open-have the potential to move AD clinical care toward disease-modifying treatment strategies with maximal benefits for patients.
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Affiliation(s)
- Wade K Self
- Department of Neurology, Hope Center for Neurological Disorders, Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - David M Holtzman
- Department of Neurology, Hope Center for Neurological Disorders, Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA.
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169
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Cost-effective Alzheimer's disease detection using plasma p-tau217-based risk stratification. NATURE AGING 2023; 3:1053-1054. [PMID: 37653257 DOI: 10.1038/s43587-023-00485-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
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170
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Jagust WJ, Teunissen CE, DeCarli C. The complex pathway between amyloid β and cognition: implications for therapy. Lancet Neurol 2023; 22:847-857. [PMID: 37454670 DOI: 10.1016/s1474-4422(23)00128-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 03/11/2023] [Accepted: 03/27/2023] [Indexed: 07/18/2023]
Abstract
For decades, the hypothesis that brain deposition of the amyloid β protein initiates Alzheimer's disease has dominated research and clinical trials. Targeting amyloid β is starting to produce therapeutic benefit, although whether amyloid-lowering drugs will be widely and meaningfully effective is still unclear. Despite extensive in-vivo biomarker evidence in humans showing the importance of an amyloid cascade that drives cognitive decline, the amyloid hypothesis does not fully account for the complexity of late-life cognitive impairment. Multiple brain pathological changes, inflammation, and host factors of resilience might also be involved in contributing to the development of dementia. This variability suggests that the benefits of lowering amyloid β might depend on how strongly an amyloid pathway is manifest in an individual in relation to other coexisting pathophysiological processes. A new approach to research and treatment, which fully considers the multiple factors that drive cognitive decline, is necessary.
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Affiliation(s)
- William J Jagust
- School of Public Health, and Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA.
| | - Charlotte E Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Program Neurodegeneration, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Charles DeCarli
- Department of Neurology, University of California, Davis, CA, USA
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171
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Brum WS, Cullen NC, Janelidze S, Ashton NJ, Zimmer ER, Therriault J, Benedet AL, Rahmouni N, Tissot C, Stevenson J, Servaes S, Triana-Baltzer G, Kolb HC, Palmqvist S, Stomrud E, Rosa-Neto P, Blennow K, Hansson O. A two-step workflow based on plasma p-tau217 to screen for amyloid β positivity with further confirmatory testing only in uncertain cases. NATURE AGING 2023; 3:1079-1090. [PMID: 37653254 PMCID: PMC10501903 DOI: 10.1038/s43587-023-00471-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 07/18/2023] [Indexed: 09/02/2023]
Abstract
Cost-effective strategies for identifying amyloid-β (Aβ) positivity in patients with cognitive impairment are urgently needed with recent approvals of anti-Aβ immunotherapies for Alzheimer's disease (AD). Blood biomarkers can accurately detect AD pathology, but it is unclear whether their incorporation into a full diagnostic workflow can reduce the number of confirmatory cerebrospinal fluid (CSF) or positron emission tomography (PET) tests needed while accurately classifying patients. We evaluated a two-step workflow for determining Aβ-PET status in patients with mild cognitive impairment (MCI) from two independent memory clinic-based cohorts (n = 348). A blood-based model including plasma tau protein 217 (p-tau217), age and APOE ε4 status was developed in BioFINDER-1 (area under the curve (AUC) = 89.3%) and validated in BioFINDER-2 (AUC = 94.3%). In step 1, the blood-based model was used to stratify the patients into low, intermediate or high risk of Aβ-PET positivity. In step 2, we assumed referral only of intermediate-risk patients to CSF Aβ42/Aβ40 testing, whereas step 1 alone determined Aβ-status for low- and high-risk groups. Depending on whether lenient, moderate or stringent thresholds were used in step 1, the two-step workflow overall accuracy for detecting Aβ-PET status was 88.2%, 90.5% and 92.0%, respectively, while reducing the number of necessary CSF tests by 85.9%, 72.7% and 61.2%, respectively. In secondary analyses, an adapted version of the BioFINDER-1 model led to successful validation of the two-step workflow with a different plasma p-tau217 immunoassay in patients with cognitive impairment from the TRIAD cohort (n = 84). In conclusion, using a plasma p-tau217-based model for risk stratification of patients with MCI can substantially reduce the need for confirmatory testing while accurately classifying patients, offering a cost-effective strategy to detect AD in memory clinic settings.
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Affiliation(s)
- Wagner S Brum
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
- Graduate Program in Biological Sciences: Biochemistry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
| | - Nicholas C Cullen
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
| | - Shorena Janelidze
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Institute of Psychiatry, Psychology and Neuroscience, Maurice Wohl Institute Clinical Neuroscience, King's College London, London, UK
- NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia, South London and Maudsley NHS Foundation, London, UK
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
| | - Eduardo R Zimmer
- Graduate Program in Biological Sciences: Biochemistry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Department of Pharmacology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Graduate Program in Biological Sciences: Pharmacology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- McGill Centre for Studies in Aging, McGill University, Montreal, Québec, Canada
| | - Joseph Therriault
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Montreal, Québec, Canada
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Québec, Canada
| | - Andrea L Benedet
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Nesrine Rahmouni
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Montreal, Québec, Canada
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Québec, Canada
| | - Cécile Tissot
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Montreal, Québec, Canada
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Québec, Canada
| | - Jenna Stevenson
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Montreal, Québec, Canada
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Québec, Canada
| | - Stijn Servaes
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Montreal, Québec, Canada
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Québec, Canada
| | | | - Hartmuth C Kolb
- Neuroscience Biomarkers, Janssen Research & Development, La Jolla, CA, USA
| | - Sebastian Palmqvist
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Erik Stomrud
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Pedro Rosa-Neto
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Montreal, Québec, Canada
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Québec, Canada
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden.
- Memory Clinic, Skåne University Hospital, Malmö, Sweden.
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172
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Lehmann S, Schraen-Maschke S, Vidal JS, Delaby C, Blanc F, Paquet C, Allinquant B, Bombois S, Gabelle A, Hanon O. Head-to-Head Comparison of Two Plasma Phospho-tau Assays in Predicting Conversion of Mild Cognitive Impairment to Dementia. Clin Chem 2023; 69:1072-1083. [PMID: 37654065 DOI: 10.1093/clinchem/hvad103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 06/06/2023] [Indexed: 09/02/2023]
Abstract
BACKGROUND Among blood biomarkers, phospho-tau181 (pTau181) is one of the most efficient in detecting Alzheimer disease across its continuum. However, transition from research to routine clinical use will require confirmation of clinical performance in prospective cohorts and evaluation of cofounding factors. METHODS Here we tested the Lumipulse assay for plasma pTau181 in mild cognitive impairment (MCI) participants from the Baltazar prospective cohort. We compared the performance of this assay to the corresponding Simoa assay for the prediction of conversion to dementia. We also evaluated the association with various routine blood parameters indicative of comorbidities. RESULTS Lumipulse and Simoa gave similar results overall, with hazard ratios for conversion to dementia of 3.48 (95% CI, 2.23-5.45) and 3.70 (95%CI, 2.39-5.87), respectively. However, the 2 tests differ somewhat in terms of the patients identified, suggesting that their use may be complementary. When combined with age, sex, and apolipoprotein E (APOE)ε4 status, areas under the curves for conversion detection were 0.736 (95% CI, 0.682-0.791) for Lumipulse and 0.733 (95% CI, 0.679-0.788) for Simoa. Plasma pTau181 was independently associated with renal dysfunction (assessed by creatinine and glomerular filtration) for both assays. Cardiovascular factors (adiponectin and cholesterol), nutritional, and inflammatory markers (total protein content, C-reactive protein) also impacted plasma pTau181 concentration, although more so with the Simoa than with the Lumipulse assay. CONCLUSIONS Plasma pTau181 measured using the fully automated Lumipulse assay performs as well as the Simoa assay for detecting conversion to dementia of MCI patients within 3 years and Lumipulse is less affected by comorbidities. This study suggests a pathway to routine noninvasive in vitro diagnosis-approved testing to contribute to the management of Alzheimer disease. CLINICALTRIALS.GOV REGISTRATION NUMBER NCT01315639.
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Affiliation(s)
- Sylvain Lehmann
- Univ Montpellier, IRMB CHU de Montpellier, INM INSERM, Montpellier, France
| | - Susanna Schraen-Maschke
- Inserm, CHU Lille, UMR-S-U1172, LiCEND, Lille Neuroscience & Cognition, LabEx DISTALZ, University of Lille, Lille, France
| | - Jean-Sébastien Vidal
- EA 4468, APHP, Hospital Broca, Memory Resource and Research Centre of de Paris-Broca-Ile de France, Université Paris Cité, Paris, France
| | - Constance Delaby
- Univ Montpellier, IRMB CHU de Montpellier, INM INSERM, Montpellier, France
- Sant Pau Memory Unit, Hospital de la Santa Creu i Sant Pau-Biomedical Research Institute Sant Pau-Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Frédéric Blanc
- CHRU de Strasbourg, Memory Resource and Research Centre of Strasbourg/Colmar, French National Centre for Scientific Research, ICube Laboratory and Fédération de Médecine Translationnelle de Strasbourg, Team Imagerie Multimodale Intégrative en Santé /Neurocrypto, Université de Strasbourg, Strasbourg, France
| | - Claire Paquet
- GHU APHP Nord Lariboisière Fernand Widal, Centre de Neurologie Cognitive, Université Paris Cité, Paris, France
| | - Bernadette Allinquant
- UMR-S1266, Institute of Psychiatry and Neurosciences, Inserm, Université Paris Cité, Paris, France
| | - Stéphanie Bombois
- Inserm, CHU Lille, UMR-S-U1172, LiCEND, Lille Neuroscience & Cognition, LabEx DISTALZ, University of Lille, Lille, France
- Assistance Publique-Hôpitaux de Paris, Département de Neurologie, Centre des Maladies Cognitives et Comportementales, GH Pitié-Salpêtrière, Paris, France
| | - Audrey Gabelle
- Memory Research and Resources Center, Department of Neurology, Inserm INM NeuroPEPs Team, Université de Montpellier, Montpellier, France
| | - Olivier Hanon
- EA 4468, APHP, Hospital Broca, Memory Resource and Research Centre of de Paris-Broca-Ile de France, Université Paris Cité, Paris, France
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173
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Wang J, Chen M, Masters CL, Wang YJ. Translating blood biomarkers into clinical practice for Alzheimer's disease: Challenges and perspectives. Alzheimers Dement 2023; 19:4226-4236. [PMID: 37218404 DOI: 10.1002/alz.13116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 03/23/2023] [Accepted: 04/04/2023] [Indexed: 05/24/2023]
Abstract
Early and accurate diagnosis of Alzheimer's disease (AD) in clinical practice is urgent with advances in AD treatment. Blood biomarker assays are preferential diagnostic tools for widespread clinical use with the advantages of being less invasive, cost effective, and easily accessible, and they have shown good performance in research cohorts. However, in community-based populations with maximum heterogeneity, great challenges are still faced in diagnosing AD based on blood biomarkers in terms of accuracy and robustness. Here, we analyze these challenges, including the confounding impact of systemic and biological factors, small changes in blood biomarkers, and difficulty in detecting early changes. Furthermore, we provide perspectives on several potential strategies to overcome these challenges for blood biomarkers to bridge the gap from research to clinical practice.
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Affiliation(s)
- Jun Wang
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
- Chongqing Key Laboratory of Ageing and Brain Diseases, Chongqing, China
| | - Ming Chen
- Department of Clinical Laboratory Medicine, Southwest Hospital, Third Military Medical University, Chongqing, China
| | - Colin L Masters
- The Florey Institute, The University of Melbourne, Parkville, Victoria, Australia
| | - Yan-Jiang Wang
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
- Chongqing Key Laboratory of Ageing and Brain Diseases, Chongqing, China
- State Key Laboratory of Trauma, Burns, and Combined Injury, Third Military Medical University, Chongqing, China
- Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
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174
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Salisbury DL, Li D, Todd M, Ng TKS, Yu F. Aerobic Exercise, Training Dose, and Cardiorespiratory Fitness: Effects and Relationships with Resting Plasma Neurotrophic Factors in Alzheimer's Dementia. JOURNAL OF VASCULAR DISEASES 2023; 2:351-366. [PMID: 39328309 PMCID: PMC11426414 DOI: 10.3390/jvd2030027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 09/28/2024]
Abstract
Background Vascular health is increasingly recognized for its roles in the pathogenesis and progression of Alzheimer's disease (AD). The objective of this study was to investigate effects of exercise training, dose, and cardiorespiratory fitness (CRF) on neurotrophic factors in community-dwelling, older adults with mild-to-moderate AD dementia. Methods This was a pilot blood ancillary study of the FIT-AD trial. Participants in the parent study were randomized to 6-month aerobic exercise (AEx) or stretching control. For this ancillary study, resting plasma brain-derived neurotrophic factor (BDNF), irisin, fibroblast growth factor-21 (FGF-21), and insulin-like growth factor-1 (IGF-1) biomarkers were assessed at baseline, 3, and 6 months. Estimates of within- and between-group effect sizes were calculated (Cohen's d). Relationships of biomarker change with dose and CRF change were explored with multivariable linear regression and repeated measures correlations. Results The sample (n = 26, 18 AEx/8 stretching) averaged 77.6 ± 6.9 years old, with the majority being male (65.4%), and non-Hispanic White (92.3%); between-group effect sizes were generally small except for irisin (d = -0.44)), AEx group relative to stretching group. Associations of dose and changes in CRF with changes in neurotrophic biomarker were weak (r2 ≤ 0.025). Conclusions The effects of exercise on BDNF, irisin, IGF-1, and FGF-21 were heterogeneous in AD. Our findings need validation in future, adequately powered exercise studies in AD.
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Affiliation(s)
| | - Danni Li
- School of Medicine, University of Minnesota, Minneapolis, MN 55455, USA
| | - Michael Todd
- Edison College of Nursing and Health Innovation, Arizona State University, Tempe, AZ 85281, USA
| | - Ted K. S. Ng
- Department of Internal Medicine & Rush Institute of Healthy Aging, Rush University Medical Center, Chicago, IL 60612, USA
| | - Fang Yu
- Edison College of Nursing and Health Innovation, Arizona State University, Tempe, AZ 85281, USA
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175
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Vila-Castelar C, Chen Y, Langella S, Lopera F, Zetterberg H, Hansson O, Dage JL, Janelidzde S, Su Y, Chen K, McDowell CP, Martinez JE, Ramirez-Gomez L, Garcia G, Aguillon D, Baena A, Giraldo-Chica M, Protas HD, Ghisays V, Rios-Romenets S, Tariot PN, Blennow K, Reiman EM, Quiroz YT. Sex differences in blood biomarkers and cognitive performance in individuals with autosomal dominant Alzheimer's disease. Alzheimers Dement 2023; 19:4127-4138. [PMID: 37279390 PMCID: PMC10527358 DOI: 10.1002/alz.13314] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 05/05/2023] [Accepted: 05/09/2023] [Indexed: 06/08/2023]
Abstract
INTRODUCTION Plasma tau phosphorylated at threonine 217 (P-tau217) and neurofilament light (NfL) have emerged as markers of Alzheimer's disease (AD) pathology. Few studies have examined the role of sex in plasma biomarkers in sporadic AD, yielding mixed findings, and none in autosomal dominant AD. METHODS We examined the effects of sex and age on plasma P-tau217 and NfL, and their association with cognitive performance in a cross-sectional study of 621 Presenilin-1 E280A mutation carriers (PSEN1) and non-carriers. RESULTS As plasma P-tau217 levels increase, cognitively unimpaired female carriers showed better cognitive performance than cognitively unimpaired male carriers. Yet, as disease progresses, female carriers had a greater plasma NfL increase than male carriers. There were no sex differences in the association between age and plasma biomarkers among non-carriers. DISCUSSION Our findings suggest that, among PSEN1 mutation carriers, females had a greater rate of neurodegeneration than males, yet it did not predict cognitive performance. HIGHLIGHTS We examined sex differences in plasma P-tau217 and NfL in Presenilin-1 E280A (PSEN1) mutation carriers and non-carriers. Female carriers had a greater plasma NfL increase, but not P-tau217, than male carriers. As plasma P-tau217 levels increase, cognitively unimpaired female carriers showed better cognitive performance than cognitively unimpaired male carriers. The interaction effect of sex by plasma NfL levels did not predict cognition among carriers.
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Affiliation(s)
- Clara Vila-Castelar
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02129, USA
| | - Yinghua Chen
- Banner Alzheimer’s Institute, Phoenix, AZ, 85718, USA
| | - Stephanie Langella
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02129, USA
| | - Francisco Lopera
- Grupo de Neurociencias de Antioquia, Universidad de Antioquia, Medellin, 1226, Colombia
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, 405 30, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, 405 30, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
- UK Dementia Research Institute at UCL, London, WC1E 6BT, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
| | - Oskar Hansson
- Memory Clinic, Skåne University Hospital, Malmö, 214 28, Sweden
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, 205 02, Sweden
| | - Jeffrey L. Dage
- Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | | | - Yi Su
- Banner Alzheimer’s Institute, Phoenix, AZ, 85718, USA
| | - Kewei Chen
- Banner Alzheimer’s Institute, Phoenix, AZ, 85718, USA
| | - Celina Pluim McDowell
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02129, USA
- Department of Psychological and Brain Sciences, Boston University, Boston, 02215, MA
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, 02115, MA
| | - Jairo E. Martinez
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02129, USA
- Department of Psychological and Brain Sciences, Boston University, Boston, 02215, MA
| | | | - Gloria Garcia
- Grupo de Neurociencias de Antioquia, Universidad de Antioquia, Medellin, 1226, Colombia
| | - David Aguillon
- Grupo de Neurociencias de Antioquia, Universidad de Antioquia, Medellin, 1226, Colombia
| | - Ana Baena
- Grupo de Neurociencias de Antioquia, Universidad de Antioquia, Medellin, 1226, Colombia
| | | | | | | | - Silvia Rios-Romenets
- Grupo de Neurociencias de Antioquia, Universidad de Antioquia, Medellin, 1226, Colombia
| | | | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, 405 30, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, 405 30, Sweden
| | | | - Yakeel T. Quiroz
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02129, USA
- Grupo de Neurociencias de Antioquia, Universidad de Antioquia, Medellin, 1226, Colombia
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176
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Ferretti G, Serafini S, Angiolillo A, Monterosso P, Di Costanzo A, Matrone C. Advances in peripheral blood biomarkers of patients with Alzheimer's disease: Moving closer to personalized therapies. Biomed Pharmacother 2023; 165:115094. [PMID: 37392653 DOI: 10.1016/j.biopha.2023.115094] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Revised: 06/17/2023] [Accepted: 06/27/2023] [Indexed: 07/03/2023] Open
Abstract
Recently, measurable peripheral biomarkers in the plasma of patients with Alzheimer's disease (AD) have gained considerable clinical interest. Several studies have identified one or more blood signatures that may facilitate the development of novel diagnostic and therapeutic strategies. For instance, changes in peripheral amyloid β42 (Aβ42) levels have been largely investigated in patients with AD and correlated with the progression of the pathology, although with controversial results. In addition, tumor necrosis factor α (TNFα) has been identified as an inflammatory biomarker strongly associated with AD, and several studies have consistently suggested the pharmacological targeting of TNFα to reduce systemic inflammation and prevent neurotoxicity in AD. Moreover, alterations in plasma metabolite levels appear to predict the progression of systemic processes relevant to brain functions. In this study, we analyzed the changes in the levels of Aβ42, TNFα, and plasma metabolites in subjects with AD and compared the results with those in healthy elderly (HE) subjects. Differences in plasma metabolites of patients with AD were analyzed with respect to Aβ42, TNFα, and the Mini-Mental State Examination (MMSE) score, searching for plasma signatures that changed simultaneously. In addition, the phosphorylation levels of the Tyr682 residue of the amyloid precursor protein (APP), which we previously proposed as a biomarker of AD, were measured in five HE and five AD patients, in whom the levels of Aβ42, TNFα, and two plasma lipid metabolites increased simultaneously. Overall, this study highlights the potential of combining different plasma signatures to define specific clinical phenotypes of patient subgroups, thus paving the way for the stratification of patients with AD and development of personalized approaches.
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Affiliation(s)
- Gabriella Ferretti
- Unit of Pharmacology, Department of Neuroscience, Faculty of Medicine, University of Naples Federico II, Via Pansini, 5 80131 Naples, Italy
| | - Sara Serafini
- Unit of Pharmacology, Department of Neuroscience, Faculty of Medicine, University of Naples Federico II, Via Pansini, 5 80131 Naples, Italy
| | - Antonella Angiolillo
- Department of Medicine and Health Sciences, Center for Research and Training in Aging Medicine, University of Molise, 86100 Campobasso, Italy
| | - Paola Monterosso
- Unit of Pharmacology, Department of Neuroscience, Faculty of Medicine, University of Naples Federico II, Via Pansini, 5 80131 Naples, Italy
| | - Alfonso Di Costanzo
- Department of Medicine and Health Sciences, Center for Research and Training in Aging Medicine, University of Molise, 86100 Campobasso, Italy
| | - Carmela Matrone
- Unit of Pharmacology, Department of Neuroscience, Faculty of Medicine, University of Naples Federico II, Via Pansini, 5 80131 Naples, Italy.
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177
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Mansilla A, Canyelles M, Ferrer R, Arranz J, Rodríguez-Baz Í, Zhu N, Rubio-Guerra S, El Bounasri S, Sánchez O, Torres S, Fortea J, Lleó A, Alcolea D, Tondo M. Effects of storage conditions on the stability of blood-based markers for the diagnosis of Alzheimer's disease. Clin Chem Lab Med 2023; 61:1580-1589. [PMID: 37083158 DOI: 10.1515/cclm-2023-0245] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 04/12/2023] [Indexed: 04/22/2023]
Abstract
OBJECTIVES Alzheimer's disease (AD) is considered the most common cause of dementia in older people. Recently, blood-based markers (BBM) Aβ1-42, Aβ1-40, and phospho Tau181 (p-Tau181) have demonstrated the potential to transform the diagnosis and prognostic assessment of AD. Our aim was to investigate the effect of different storage conditions on the quantification of these BBM and to evaluate the interchangeability of plasma and serum samples. METHODS Forty-two individuals with some degree of cognitive impairment were studied. Thirty further patients were retrospectively selected. Aβ1-42, Aβ1-40, and p-Tau181 were quantified using the LUMIPULSE-G600II automated platform. To assess interchangeability between conditions, correction factors for magnitudes that showed strong correlations were calculated, followed by classification consistency studies. RESULTS Storing samples at 4 °C for 8-9 days was associated with a decrease in Aβ fractions but not when stored for 1-2 days. Using the ratio partially attenuated the pre-analytical effects. For p-Tau181, samples stored at 4 °C presented lower concentrations, whereas frozen samples presented higher ones. Concerning classification consistency in comparisons that revealed strong correlations (p-Tau181), the percentage of total agreement was greater than 90 % in a large number of the tested cut-offs values. CONCLUSIONS Our findings provide relevant information for the standardization of sample collection and storage in the analysis of AD BBM in an automated platform. This knowledge is crucial to ensure their introduction into clinical settings.
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Affiliation(s)
- Andrea Mansilla
- Department of Biochemistry, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB) Sant Pau, Barcelona, Spain
| | - Marina Canyelles
- Department of Biochemistry, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB) Sant Pau, Barcelona, Spain
- Centre of Biomedical Investigation Network for Diabetes and Metabolic Diseases (CIBERDEM), Madrid, Spain
| | - Rosa Ferrer
- Department of Biochemistry, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB) Sant Pau, Barcelona, Spain
| | - Javier Arranz
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB Sant Pau) Sant Pau, Barcelona, Spain
| | - Íñigo Rodríguez-Baz
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB Sant Pau) Sant Pau, Barcelona, Spain
| | - Nuole Zhu
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB Sant Pau) Sant Pau, Barcelona, Spain
| | - Sara Rubio-Guerra
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB Sant Pau) Sant Pau, Barcelona, Spain
| | - Shaimaa El Bounasri
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB Sant Pau) Sant Pau, Barcelona, Spain
| | - Oriol Sánchez
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB Sant Pau) Sant Pau, Barcelona, Spain
| | - Soraya Torres
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB Sant Pau) Sant Pau, Barcelona, Spain
| | - Juan Fortea
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB Sant Pau) Sant Pau, Barcelona, Spain
- Centre of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Alberto Lleó
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB Sant Pau) Sant Pau, Barcelona, Spain
- Centre of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Daniel Alcolea
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB Sant Pau) Sant Pau, Barcelona, Spain
- Centre of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Mireia Tondo
- Department of Biochemistry, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB) Sant Pau, Barcelona, Spain
- Centre of Biomedical Investigation Network for Diabetes and Metabolic Diseases (CIBERDEM), Madrid, Spain
- Comisión de Neuroquímica y Enfermedades Neurológicas, Sociedad Española de Medicina de Laboratorio, Barcelona, Spain
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178
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Yosypyshyn D, Kučikienė D, Ramakers I, Schulz JB, Reetz K, Costa AS. Clinical characteristics of patients with suspected Alzheimer's disease within a CSF Aß-ratio grey zone. Neurol Res Pract 2023; 5:40. [PMID: 37533121 PMCID: PMC10398972 DOI: 10.1186/s42466-023-00262-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 06/28/2023] [Indexed: 08/04/2023] Open
Abstract
BACKGROUND The AT(N) research framework for Alzheimer's disease (AD) remains unclear on how to best deal with borderline cases. Our aim was to characterise patients with suspected AD with a borderline Aß1-42/Aß1-40 ratio in cerebrospinal fluid. METHODS We analysed retrospective data from two cohorts (memory clinic cohort and ADNI) of patients (n = 63) with an Aß1-42/Aß1-40 ratio within a predefined borderline area-Q1 above the validated cut-off value(grey zone). We compared demographic, clinical, neuropsychological and neuroimaging features between grey zone patients and patients with low Aß1-42 (normal Aß ratio but pathological Aß1-42, n = 42) and patients with AD (pathological Aß, P-Tau, und T-Tau, n = 80). RESULTS Patients had mild cognitive impairment or mild dementia and a median age of 72 years. Demographic and general clinical characteristics did not differ between the groups. Patients in the grey zone group were the least impaired in cognition. However, they overlapped with the low Aß1-42 group in verbal episodic memory performance, especially in delayed recall and recognition. The grey zone group had less severe medial temporal atrophy, but mild posterior atrophy and mild white matter hyperintensities, similar to the low Aß1-42 group. CONCLUSIONS Patients in the Aß ratio grey zone were less impaired, but showed clinical overlap with patients on the AD continuum. These borderline patients may be at an earlier disease stage. Assuming an increased risk of AD and progressive cognitive decline, careful consideration of clinical follow-up is recommended when using dichotomous approaches to classify Aß status.
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Affiliation(s)
- Dariia Yosypyshyn
- Department of Neurology, University Hospital RWTH Aachen, Pauwelsstr. 30, 52074, Aachen, Germany
| | - Domantė Kučikienė
- Department of Neurology, University Hospital RWTH Aachen, Pauwelsstr. 30, 52074, Aachen, Germany
| | - Inez Ramakers
- Department of Neurology, University Hospital RWTH Aachen, Pauwelsstr. 30, 52074, Aachen, Germany
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands
| | - Jörg B Schulz
- Department of Neurology, University Hospital RWTH Aachen, Pauwelsstr. 30, 52074, Aachen, Germany
- JARA Institute Molecular Neuroscience and Neuroimaging, RWTH Aachen & Forschungszentrum Jülich, Aachen, Germany
| | - Kathrin Reetz
- Department of Neurology, University Hospital RWTH Aachen, Pauwelsstr. 30, 52074, Aachen, Germany.
- JARA Institute Molecular Neuroscience and Neuroimaging, RWTH Aachen & Forschungszentrum Jülich, Aachen, Germany.
| | - Ana Sofia Costa
- Department of Neurology, University Hospital RWTH Aachen, Pauwelsstr. 30, 52074, Aachen, Germany
- JARA Institute Molecular Neuroscience and Neuroimaging, RWTH Aachen & Forschungszentrum Jülich, Aachen, Germany
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179
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Alcolea D, Beeri MS, Rojas JC, Gardner RC, Lleó A. Blood Biomarkers in Neurodegenerative Diseases: Implications for the Clinical Neurologist. Neurology 2023; 101:172-180. [PMID: 36878698 PMCID: PMC10435056 DOI: 10.1212/wnl.0000000000207193] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 01/31/2023] [Indexed: 03/08/2023] Open
Abstract
Blood-based biomarkers offer a major advance in the clinical evaluation of neurodegenerative diseases. Currently, research studies have reported robust assays of blood markers for the detection of amyloid and tau pathologies specific to Alzheimer disease (amyloid-β peptides, and p-tau) and nonspecific blood markers of neuronal (neurofilament light, β-synuclein, and ubiquitin-C-terminal-hydrolase-L1) and glial degeneration (glial fibrillary acidic protein) that can measure key pathophysiologic processes in several neurodegenerative diseases. In the near future, these markers may be used for screening, diagnosis, or disease and treatment response monitoring. Blood-based biomarkers for neurodegenerative diseases have been rapidly implemented in research, and they have the potential to enter clinical use soon in different clinical settings. In this review, we will describe the main developments and their potential implications for the general neurologist.
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Affiliation(s)
- Daniel Alcolea
- From the Sant Pau Memory Unit (D.A., A.L.), Department of Neurology, Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Universitat Autònoma de Barcelona; Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (D.A., A.L.), CIBERNED, Madrid, Spain; Department of Psychiatry (M.S.B.), Icahn School of Medicine at Mount Sinai, New York, NY; The Joseph Sagol Neuroscience (M.S.B., R.C.G.), Center Sheba Medical Center, Tel-Hashomer, Israel; and Department of Neurology (J.C.R.), Weill Institute for Neurosciences, UCSF Memory and Aging Center, San Francisco, CA.
| | - Michal Schnaider Beeri
- From the Sant Pau Memory Unit (D.A., A.L.), Department of Neurology, Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Universitat Autònoma de Barcelona; Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (D.A., A.L.), CIBERNED, Madrid, Spain; Department of Psychiatry (M.S.B.), Icahn School of Medicine at Mount Sinai, New York, NY; The Joseph Sagol Neuroscience (M.S.B., R.C.G.), Center Sheba Medical Center, Tel-Hashomer, Israel; and Department of Neurology (J.C.R.), Weill Institute for Neurosciences, UCSF Memory and Aging Center, San Francisco, CA
| | - Julio C Rojas
- From the Sant Pau Memory Unit (D.A., A.L.), Department of Neurology, Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Universitat Autònoma de Barcelona; Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (D.A., A.L.), CIBERNED, Madrid, Spain; Department of Psychiatry (M.S.B.), Icahn School of Medicine at Mount Sinai, New York, NY; The Joseph Sagol Neuroscience (M.S.B., R.C.G.), Center Sheba Medical Center, Tel-Hashomer, Israel; and Department of Neurology (J.C.R.), Weill Institute for Neurosciences, UCSF Memory and Aging Center, San Francisco, CA
| | - Raquel C Gardner
- From the Sant Pau Memory Unit (D.A., A.L.), Department of Neurology, Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Universitat Autònoma de Barcelona; Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (D.A., A.L.), CIBERNED, Madrid, Spain; Department of Psychiatry (M.S.B.), Icahn School of Medicine at Mount Sinai, New York, NY; The Joseph Sagol Neuroscience (M.S.B., R.C.G.), Center Sheba Medical Center, Tel-Hashomer, Israel; and Department of Neurology (J.C.R.), Weill Institute for Neurosciences, UCSF Memory and Aging Center, San Francisco, CA
| | - Alberto Lleó
- From the Sant Pau Memory Unit (D.A., A.L.), Department of Neurology, Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Universitat Autònoma de Barcelona; Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (D.A., A.L.), CIBERNED, Madrid, Spain; Department of Psychiatry (M.S.B.), Icahn School of Medicine at Mount Sinai, New York, NY; The Joseph Sagol Neuroscience (M.S.B., R.C.G.), Center Sheba Medical Center, Tel-Hashomer, Israel; and Department of Neurology (J.C.R.), Weill Institute for Neurosciences, UCSF Memory and Aging Center, San Francisco, CA.
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180
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Bucci M, Bluma M, Savitcheva I, Ashton NJ, Chiotis K, Matton A, Kivipelto M, Di Molfetta G, Blennow K, Zetterberg H, Nordberg A. Profiling of plasma biomarkers in the context of memory assessment in a tertiary memory clinic. Transl Psychiatry 2023; 13:268. [PMID: 37491358 PMCID: PMC10368630 DOI: 10.1038/s41398-023-02558-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Revised: 06/24/2023] [Accepted: 07/03/2023] [Indexed: 07/27/2023] Open
Abstract
Plasma biomarkers have shown promising performance in research cohorts in discriminating between different stages of Alzheimer's disease (AD). Studies in clinical populations are necessary to provide insights on the clinical utility of plasma biomarkers before their implementation in real-world settings. Here we investigated plasma biomarkers (glial fibrillary acidic protein (GFAP), tau phosphorylated at 181 and 231 (pTau181, pTau231), amyloid β (Aβ) 42/40 ratio, neurofilament light) in 126 patients (age = 65 ± 8) who were admitted to the Clinic for Cognitive Disorders, at Karolinska University Hospital. After extensive clinical assessment (including CSF analysis), patients were classified as: mild cognitive impairment (MCI) (n = 75), AD (n = 25), non-AD dementia (n = 16), no dementia (n = 9). To refine the diagnosis, patients were examined with [18F]flutemetamol PET (Aβ-PET). Aβ-PET images were visually rated for positivity/negativity and quantified in Centiloid. Accordingly, 68 Aβ+ and 54 Aβ- patients were identified. Plasma biomarkers were measured using single molecule arrays (SIMOA). Receiver-operated curve (ROC) analyses were performed to detect Aβ-PET+ using the different biomarkers. In the whole cohort, the Aβ-PET centiloid values correlated positively with plasma GFAP, pTau231, pTau181, and negatively with Aβ42/40 ratio. While in the whole MCI group, only GFAP was associated with Aβ PET centiloid. In ROC analyses, among the standalone biomarkers, GFAP showed the highest area under the curve discriminating Aβ+ and Aβ- compared to other plasma biomarkers. The combination of plasma biomarkers via regression was the most predictive of Aβ-PET, especially in the MCI group (prior to PET, n = 75) (sensitivity = 100%, specificity = 82%, negative predictive value = 100%). In our cohort of memory clinic patients (mainly MCI), the combination of plasma biomarkers was sensitive in ruling out Aβ-PET negative individuals, thus suggesting a potential role as rule-out tool in clinical practice.
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Affiliation(s)
- Marco Bucci
- Department of Neurobiology, Care Sciences and Society, Centre for Alzheimer Research, Division of Clinical Geriatrics, Karolinska Institutet, SE-14183, Stockholm, Sweden
- Theme Inflammation and Aging, Karolinska University Hospital, SE-14186, Stockholm, Sweden
| | - Marina Bluma
- Department of Neurobiology, Care Sciences and Society, Centre for Alzheimer Research, Division of Clinical Geriatrics, Karolinska Institutet, SE-14183, Stockholm, Sweden
| | - Irina Savitcheva
- Medical Radiation Physics and Nuclear Medicine, Karolinska University, SE-14186, Stockholm, Sweden
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, SE-43180, Mölndal, Sweden
| | - Konstantinos Chiotis
- Department of Neurobiology, Care Sciences and Society, Centre for Alzheimer Research, Division of Clinical Geriatrics, Karolinska Institutet, SE-14183, Stockholm, Sweden
- Department of Neurology, Karolinska University Hospital, SE-14186, Stockholm, Sweden
| | - Anna Matton
- Department of Neurobiology, Care Sciences and Society, Centre for Alzheimer Research, Division of Clinical Geriatrics, Karolinska Institutet, SE-14183, Stockholm, Sweden
| | - Miia Kivipelto
- Department of Neurobiology, Care Sciences and Society, Centre for Alzheimer Research, Division of Clinical Geriatrics, Karolinska Institutet, SE-14183, Stockholm, Sweden
- Theme Inflammation and Aging, Karolinska University Hospital, SE-14186, Stockholm, Sweden
| | - Guglielmo Di Molfetta
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, SE-43180, Mölndal, Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, SE-43180, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, SE-43180, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, SE-43180, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, SE-43180, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
- UK Dementia Research Institute at UCL, London, WC1N 3BG, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53792, USA
| | - Agneta Nordberg
- Department of Neurobiology, Care Sciences and Society, Centre for Alzheimer Research, Division of Clinical Geriatrics, Karolinska Institutet, SE-14183, Stockholm, Sweden.
- Theme Inflammation and Aging, Karolinska University Hospital, SE-14186, Stockholm, Sweden.
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181
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Ashton NJ, Brum WS, Di Molfetta G, Benedet AL, Arslan B, Jonatis E, Langhough RE, Cody K, Wilson R, Carlsson CM, Vanmechelen E, Montoliu-Gaya L, Lantero-Rodriguez J, Rahmouni N, Tissot C, Stevenson J, Servaes S, Therriault J, Pascoal T, Lleó A, Alcolea D, Fortea J, Rosa-Neto P, Johnson S, Jeromin A, Blennow K, Zetterberg H. Diagnostic accuracy of the plasma ALZpath pTau217 immunoassay to identify Alzheimer's disease pathology. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.07.11.23292493. [PMID: 37502842 PMCID: PMC10370224 DOI: 10.1101/2023.07.11.23292493] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
Importance Phosphorylated tau (pTau) is a specific blood biomarker for Alzheimer's disease (AD) pathology, with pTau217 considered to have the most utility. However, availability of pTau217 tests for research and clinical use has been limited. Expanding access to this highly accurate AD biomarker is crucial for wider evaluation and implementation of AD blood tests. Objective To determine the utility of a novel and commercially available Single molecule array (Simoa) for plasma pTau217 (ALZpath) to detect AD pathology. To evaluate references ranges for abnormal Aβ across three selected cohorts. Design Setting Participants Three single-centre observational cohorts were involved in the study: Translational Biomarkers in Aging and Dementia (TRIAD), Wisconsin Registry for Alzheimer's Prevention (WRAP), and Sant Pau Initiative on Neurodegeneration (SPIN). MRI, Aβ-PET, and tau-PET data were available for TRIAD and WRAP, while CSF biomarkers were additionally measured in a subset of TRIAD and SPIN. Plasma measurements of pTau181, pTau217 (ALZpath), pTau231, Aβ42/40, GFAP, and NfL, were available for all cohorts. Longitudinal blood biomarker data spanning 3 years for TRIAD and 8 years for WRAP were included. Exposures MRI, Aβ-PET, tau-PET, CSF biomarkers (Aβ42/40 and pTau immunoassays) and plasma pTau217 (ALZpath Simoa). Main Outcomes and Measures The accuracy of plasma pTau217 for detecting abnormal amyloid and tau pathology. Longitudinal pTau217 change according to baseline pathology status. Results The study included 786 participants (mean [SD] age, 66.3 [9.7] years; 504 females [64.1%]) were included in the study. High accuracy was observed in identifying elevated Aβ (AUC, 0.92-0.96; 95%CI 0.89-0.99) and tau pathology (AUC, 0.93-0.97; 95%CI 0.84-0.99) across all cohorts. These accuracies were significantly higher than other plasma biomarker combinations and comparable to CSF biomarkers. The detection of abnormal Aβ pathology using binary or three-range references yielded reproducible results. Longitudinally, plasma pTau217 showed an annual increase only in Aβ-positive individuals, with the highest increase observed in those with tau-positivity. Conclusions and Relevance The ALZpath plasma pTau217 Simoa assay accurately identifies biological AD, comparable to CSF biomarkers, with reproducible cut-offs across cohorts. It detects longitudinal changes, including at the preclinical stage, and is the first widely available, accessible, and scalable blood test for pTau217 detection.
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Affiliation(s)
- Nicholas J. Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- King’s College London, Institute of Psychiatry, Psychology and Neuroscience Maurice Wohl Institute Clinical Neuroscience Institute London UK
- NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS Foundation London UK
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
| | - Wagner S. Brum
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Graduate Program in Biological Sciences: Biochemistry, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
| | - Guglielmo Di Molfetta
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Andrea L. Benedet
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Burak Arslan
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Erin Jonatis
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53726, USA
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA
- Department of Medicine, Division of Geriatrics and Gerontology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA
| | - Rebecca E. Langhough
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53726, USA
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA
- Department of Medicine, Division of Geriatrics and Gerontology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA
| | - Karly Cody
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA
| | - Rachael Wilson
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA
- Department of Medicine, Division of Geriatrics and Gerontology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA
| | - Cynthia M. Carlsson
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53726, USA
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA
- Department of Medicine, Division of Geriatrics and Gerontology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA
- Geriatric Research Education and Clinical Center of the Wm. S. Middleton Memorial Veterans Hospital, Madison, WI 53705, USA
| | | | - Laia Montoliu-Gaya
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Juan Lantero-Rodriguez
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Nesrine Rahmouni
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer’s Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l’Ouest-de-l’Île-de-Montréal
- Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, Montreal, Quebec, Canada
| | - Cecile Tissot
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer’s Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l’Ouest-de-l’Île-de-Montréal
- Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, Montreal, Quebec, Canada
| | - Jenna Stevenson
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer’s Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l’Ouest-de-l’Île-de-Montréal
- Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, Montreal, Quebec, Canada
| | - Stijn Servaes
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer’s Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l’Ouest-de-l’Île-de-Montréal
- Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, Montreal, Quebec, Canada
| | - Joseph Therriault
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer’s Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l’Ouest-de-l’Île-de-Montréal
- Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, Montreal, Quebec, Canada
| | - Tharick Pascoal
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Alberto Lleó
- Department of Neurology, Institut d’Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Hospital de la Santa Creu i Sant Pau, Barcelona, Catalunya
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Daniel Alcolea
- Department of Neurology, Institut d’Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Hospital de la Santa Creu i Sant Pau, Barcelona, Catalunya
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Juan Fortea
- Department of Neurology, Institut d’Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Hospital de la Santa Creu i Sant Pau, Barcelona, Catalunya
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Pedro Rosa-Neto
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer’s Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l’Ouest-de-l’Île-de-Montréal
- Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, Montreal, Quebec, Canada
| | - Sterling Johnson
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53726, USA
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA
| | | | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
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182
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Kunwar A, Ablordeppey KK, Mireskandari A, Sheinerman K, Kiefer M, Umansky S, Kumar G. Analytical Validation of a Novel MicroRNA Panel for Risk Stratification of Cognitive Impairment. Diagnostics (Basel) 2023; 13:2170. [PMID: 37443567 DOI: 10.3390/diagnostics13132170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 06/15/2023] [Accepted: 06/20/2023] [Indexed: 07/15/2023] Open
Abstract
We have been developing a novel approach to identify cognitive impairment-related biomarkers by profiling brain-enriched and inflammation-associated microRNA (miRNA) in plasma specimens of cognitively unimpaired and cognitively impaired patients. Here, we present an analytical validation of the novel miRNA panel, CogniMIR®, using two competing quantitative PCR technologies for the expression analysis of 24 target miRNAs. Total RNA from the plasma specimens was isolated using the MagMAX mirVana Kit, and RT-qPCR was performed using stem-loop-based TaqMan and LNA-based qPCR assays. Evaluation of RNA dilution series for our target 24 miRNAs, performed by two operators on two different days, demonstrated that all CogniMIR® panel miRNAs can be reliably and consistently detected by both qPCR technologies, with sample input as low as 20 copies in a qPCR reaction. Intra-run and inter-run repeatability and reproducibility analyses using RNA specimens demonstrated that both operators generated repeatable and consistent Cts, with R2 values of 0.94 to 0.99 and 0.96 to 0.97, respectively. The study results clearly indicate the suitability of miRNA profiling of plasma specimens using either of the qPCR technologies. However, the LNA-based qPCR technology appears to be more operationally friendly and better suited for a CAP/CLIA-certified clinical laboratory.
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Affiliation(s)
- Arzu Kunwar
- DiamiR Biosciences Laboratory, 2 Church Street South, Suite B05, New Haven, CT 06519, USA
| | | | - Alidad Mireskandari
- DiamiR Biosciences Laboratory, 2 Church Street South, Suite B05, New Haven, CT 06519, USA
| | - Kira Sheinerman
- DiamiR Biosciences Laboratory, 2 Church Street South, Suite B05, New Haven, CT 06519, USA
| | - Michael Kiefer
- DiamiR Biosciences Laboratory, 2 Church Street South, Suite B05, New Haven, CT 06519, USA
| | - Samuil Umansky
- DiamiR Biosciences Laboratory, 2 Church Street South, Suite B05, New Haven, CT 06519, USA
| | - Gyanendra Kumar
- DiamiR Biosciences Laboratory, 2 Church Street South, Suite B05, New Haven, CT 06519, USA
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183
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Jönsson L, Wimo A, Handels R, Johansson G, Boada M, Engelborghs S, Frölich L, Jessen F, Kehoe PG, Kramberger M, de Mendonςa A, Ousset PJ, Scarmeas N, Visser PJ, Waldemar G, Winblad B. The affordability of lecanemab, an amyloid-targeting therapy for Alzheimer's disease: an EADC-EC viewpoint. THE LANCET REGIONAL HEALTH. EUROPE 2023; 29:100657. [PMID: 37251789 PMCID: PMC10220264 DOI: 10.1016/j.lanepe.2023.100657] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 05/08/2023] [Accepted: 05/11/2023] [Indexed: 05/31/2023]
Abstract
Lecanemab, an anti-amyloid antibody with effects on biomarker and clinical endpoints in early Alzheimer's Disease (AD), was granted accelerated approval by the FDA in 2023 and regulatory review in Europe is ongoing. We estimate the population potentially eligible for treatment with lecanemab in the 27 EU countries to 5.4 million individuals. Treatment costs would exceed 133 billion EUR per year if the drug is priced similarly as in the United States, amounting to over half of the total pharmaceutical expenditures in the EU. This pricing would be unsustainable; the ability to pay for high-priced therapies varies substantially across countries. Pricing similarly to what has been announced for the United States may place the drug out of reach for patients in some European countries. Disparities in access to novel amyloid-targeting agents may further deepen the inequalities across Europe in health outcomes. As representatives of the European Alzheimer's Disease Consortium Executive Committee, we call for pricing policies that allow eligible patients across Europe to access important innovations, but also continued investments in research and development. Infrastructure to follow up the usage of new therapies in routine care and new payment models may be needed to address affordability and inequalities in patient access.
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Affiliation(s)
- Linus Jönsson
- Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, Solna, Sweden
| | - Anders Wimo
- Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, Solna, Sweden
| | - Ron Handels
- Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, Solna, Sweden
- Department of Psychiatry and Neuropsychology, Maastricht University, Alzheimer Centre Limburg, School for Mental Health and Neurosciences, Maastricht, the Netherlands
| | - Gunilla Johansson
- Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, Solna, Sweden
| | - Mercè Boada
- ACE Alzheimer Center Barcelona - International University of Catalunya, Spain & Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Sebastiaan Engelborghs
- Department of Neurology and Bru-BRAIN, Center for Neurosciences, UZ Brussel & Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | - Lutz Frölich
- Department of Geriatric Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Germany
| | - Frank Jessen
- Department of Psychiatry, University of Cologne, Faculty of Medicine & University Hospital Cologne, Cologne, Germany
| | - Patrick Gavin Kehoe
- Department of Neurology, University Medical Centre, Ljubljana & Medical Faculty, University of Ljubljana, Slovenia
| | | | | | - Pierre Jean Ousset
- Department of Internal Medicine and Clinical Gerontology, Toulouse University Hospital, Toulouse, France
| | - Nikolaos Scarmeas
- Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece
- Department of Neurology, Columbia University, New York, NY, USA
| | - Pieter Jelle Visser
- Department of Psychiatry and Neuropsychology, University of Maastricht & Department of Neurology, Amsterdam Centre, Amsterdam, the Netherlands
| | - Gunhild Waldemar
- Department of Neurology, Danish Dementia Research Centre, Copenhagen University Hospital -Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Denmark
| | - Bengt Winblad
- Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, Solna, Sweden
- Theme Inflammation and Aging, Karolinska University Hospital, Huddinge, Sweden
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184
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Cooley SA, Nelson B, Boerwinkle A, Yarasheski KE, Kirmess KM, Meyer MR, Schindler SE, Morris JC, Fagan A, Ances BM, O’Halloran JA. Plasma Aβ42/Aβ40 Ratios in Older People With Human Immunodeficiency Virus. Clin Infect Dis 2023; 76:1776-1783. [PMID: 36610788 PMCID: PMC10209437 DOI: 10.1093/cid/ciad001] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 12/19/2022] [Accepted: 01/03/2023] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND As people with human immunodeficiency virus (HIV) (PWH) age, it remains unclear whether they are at higher risk for age-related neurodegenerative disorders-for example, Alzheimer disease (AD)-and, if so, how to differentiate HIV-associated neurocognitive impairment from AD. We examined a clinically available blood biomarker test for AD (plasma amyloid-β [Aβ] 42/Aβ40 ratio) in PWH who were cognitively normal (PWH_CN) or cognitively impaired (PWH_CI) and people without HIV (PWoH) who were cognitively normal (PWoH_CN) or had symptomatic AD (PWoH_AD). METHODS A total of 66 PWH (age >40 years) (HIV RNA <50 copies/mL) and 195 PWoH provided blood samples, underwent magnetic resonance imaging, and completed a neuropsychological battery or clinical dementia rating scale. Participants were categorized by impairment (PWH_CN, n = 43; PWH_CI, n = 23; PWoH_CN, n = 138; PWoH_AD, n = 57). Plasma Aβ42 and Aβ40 concentrations were obtained using a liquid chromatography-tandem mass spectrometry method to calculate the PrecivityAD amyloid probability score (APS). The APS incorporates age and apolipoprotein E proteotype into a risk score for brain amyloidosis. Plasma Aβ42/Aβ40 ratios and APSs were compared between groups and assessed for relationships with hippocampal volumes or cognition and HIV clinical characteristics (PWH only). RESULTS The plasma Aβ42/Aβ40 ratio was significantly lower, and the APS higher, in PWoH_AD than in other groups. A lower Aβ42/Aβ40 ratio and higher APS was associated with smaller hippocampal volumes for PWoH_AD. The Aβ42/Aβ40 ratio and APS were not associated with cognition or HIV clinical measures for PWH. CONCLUSIONS The plasma Aβ42/Aβ40 ratio can serve as a screening tool for AD and may help differentiate effects of HIV from AD within PWH, but larger studies with older PWH are needed.
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Affiliation(s)
- Sarah A Cooley
- Department of Neurology, Washington University in St Louis, St Louis, Missouri, USA
| | - Brittany Nelson
- Department of Neurology, Washington University in St Louis, St Louis, Missouri, USA
| | - Anna Boerwinkle
- Department of Neurology, Washington University in St Louis, St Louis, Missouri, USA
| | | | | | | | - Suzanne E Schindler
- Department of Neurology, Washington University in St Louis, St Louis, Missouri, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St Louis, Missouri, USA
| | - John C Morris
- Department of Neurology, Washington University in St Louis, St Louis, Missouri, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St Louis, Missouri, USA
- Department of Radiology, Washington University in St Louis, St Louis, Missouri, USA
| | - Anne Fagan
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St Louis, Missouri, USA
| | - Beau M Ances
- Department of Neurology, Washington University in St Louis, St Louis, Missouri, USA
| | - Jane A O’Halloran
- Division of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St Louis, Missouri, USA
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185
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Largent EA, Grill JD, O'Brien K, Wolk D, Harkins K, Karlawish J. Testing for Alzheimer Disease Biomarkers and Disclosing Results Across the Disease Continuum. Neurology 2023; 100:1010-1019. [PMID: 36720642 PMCID: PMC10238153 DOI: 10.1212/wnl.0000000000206891] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 12/20/2022] [Indexed: 02/02/2023] Open
Abstract
Three pathologic processes are characteristic of Alzheimer disease (AD): β-amyloid, hyperphosphorylated tau, and neurodegeneration. Our understanding of AD is undergoing a transformation due to our ability to measure biomarkers of these processes across different stages of cognitive impairment. There is growing interest in using AD biomarker tests in care and research and, with this, a growing need for guidance on how to return these sensitive results to patients and participants. Here, we propose a 5-step approach informed by clinical and research experience designing and implementing AD biomarker disclosure processes, extant evidence describing how individuals react to AD biomarker information, ethics, law, and the literature on breaking bad news. The clinician should (1) determine the appropriateness of AD biomarker testing and return of results for the particular patient or research participant. If testing is appropriate, the next steps are to (2) provide pretest education and seek consent for testing from the individual and their support person, (3) administer testing, (4) return the results to the individual and their support person, and (5) follow-up to promote the recipient's well-being.
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Affiliation(s)
- Emily A Largent
- From the Department of Medical Ethics and Health Policy (E.A.L., J.K.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Department of Psychiatry and Human Behavior (J.D.G.), and Department of Neurobiology and Behavior (J.D.G.), University of California, Irvine; Department of Neurology (K.O.B., D.W., J.K.), and Department of Medicine (K.H., J.K.), University of Pennsylvania Perelman School of Medicine, Philadelphia.
| | - Joshua D Grill
- From the Department of Medical Ethics and Health Policy (E.A.L., J.K.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Department of Psychiatry and Human Behavior (J.D.G.), and Department of Neurobiology and Behavior (J.D.G.), University of California, Irvine; Department of Neurology (K.O.B., D.W., J.K.), and Department of Medicine (K.H., J.K.), University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Kyra O'Brien
- From the Department of Medical Ethics and Health Policy (E.A.L., J.K.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Department of Psychiatry and Human Behavior (J.D.G.), and Department of Neurobiology and Behavior (J.D.G.), University of California, Irvine; Department of Neurology (K.O.B., D.W., J.K.), and Department of Medicine (K.H., J.K.), University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - David Wolk
- From the Department of Medical Ethics and Health Policy (E.A.L., J.K.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Department of Psychiatry and Human Behavior (J.D.G.), and Department of Neurobiology and Behavior (J.D.G.), University of California, Irvine; Department of Neurology (K.O.B., D.W., J.K.), and Department of Medicine (K.H., J.K.), University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Kristin Harkins
- From the Department of Medical Ethics and Health Policy (E.A.L., J.K.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Department of Psychiatry and Human Behavior (J.D.G.), and Department of Neurobiology and Behavior (J.D.G.), University of California, Irvine; Department of Neurology (K.O.B., D.W., J.K.), and Department of Medicine (K.H., J.K.), University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Jason Karlawish
- From the Department of Medical Ethics and Health Policy (E.A.L., J.K.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Department of Psychiatry and Human Behavior (J.D.G.), and Department of Neurobiology and Behavior (J.D.G.), University of California, Irvine; Department of Neurology (K.O.B., D.W., J.K.), and Department of Medicine (K.H., J.K.), University of Pennsylvania Perelman School of Medicine, Philadelphia
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186
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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: 18] [Impact Index Per Article: 18.0] [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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187
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Jack CR, Wiste HJ, Algeciras-Schimnich A, Figdore DJ, Schwarz CG, Lowe VJ, Ramanan VK, Vemuri P, Mielke MM, Knopman DS, Graff-Radford J, Boeve BF, Kantarci K, Cogswell PM, Senjem ML, Gunter JL, Therneau TM, Petersen RC. Predicting amyloid PET and tau PET stages with plasma biomarkers. Brain 2023; 146:2029-2044. [PMID: 36789483 PMCID: PMC10151195 DOI: 10.1093/brain/awad042] [Citation(s) in RCA: 34] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 12/20/2022] [Accepted: 01/21/2023] [Indexed: 02/16/2023] Open
Abstract
Staging the severity of Alzheimer's disease pathology using biomarkers is useful for therapeutic trials and clinical prognosis. Disease staging with amyloid and tau PET has face validity; however, this would be more practical with plasma biomarkers. Our objectives were, first, to examine approaches for staging amyloid and tau PET and, second, to examine prediction of amyloid and tau PET stages using plasma biomarkers. Participants (n = 1136) were enrolled in either the Mayo Clinic Study of Aging or the Alzheimer's Disease Research Center; had a concurrent amyloid PET, tau PET and blood draw; and met clinical criteria for cognitively unimpaired (n = 864), mild cognitive impairment (n = 148) or Alzheimer's clinical syndrome with dementia (n = 124). The latter two groups were combined into a cognitively impaired group (n = 272). We used multinomial regression models to estimate discrimination [concordance (C) statistics] among three amyloid PET stages (low, intermediate, high), four tau PET stages (Braak 0, 1-2, 3-4, 5-6) and a combined amyloid and tau PET stage (none/low versus intermediate/high severity) using plasma biomarkers as predictors separately within unimpaired and impaired individuals. Plasma analytes, p-tau181, Aβ1-42 and Aβ1-40 (analysed as the Aβ42/Aβ40 ratio), glial fibrillary acidic protein and neurofilament light chain were measured on the HD-X Simoa Quanterix platform. Plasma p-tau217 was also measured in a subset (n = 355) of cognitively unimpaired participants using the Lilly Meso Scale Discovery assay. Models with all Quanterix plasma analytes along with risk factors (age, sex and APOE) most often provided the best discrimination among amyloid PET stages (C = 0.78-0.82). Models with p-tau181 provided similar discrimination of tau PET stages to models with all four plasma analytes (C = 0.72-0.85 versus C = 0.73-0.86). Discriminating a PET proxy of intermediate/high from none/low Alzheimer's disease neuropathological change with all four Quanterix plasma analytes was excellent but not better than p-tau181 only (C = 0.88 versus 0.87 for unimpaired and C = 0.91 versus 0.90 for impaired). Lilly p-tau217 outperformed the Quanterix p-tau181 assay for discriminating high versus intermediate amyloid (C = 0.85 versus 0.74) but did not improve over a model with all Quanterix plasma analytes and risk factors (C = 0.85 versus 0.83). Plasma analytes along with risk factors can discriminate between amyloid and tau PET stages and between a PET surrogate for intermediate/high versus none/low neuropathological change with accuracy in the acceptable to excellent range. Combinations of plasma analytes are better than single analytes for many staging predictions with the exception that Quanterix p-tau181 alone usually performed equivalently to combinations of Quanterix analytes for tau PET discrimination.
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Affiliation(s)
- Clifford R Jack
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
| | - Heather J Wiste
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
| | | | - Dan J Figdore
- Department of Laboratory Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | | | - Val J Lowe
- Department of Nuclear Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Vijay K Ramanan
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | | | - Michelle M Mielke
- Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, NC 27101, USA
| | - David S Knopman
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | | | - Bradley F Boeve
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Kejal Kantarci
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
| | | | | | | | - Terry M Therneau
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
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188
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van der Flier WM, de Vugt ME, Smets EMA, Blom M, Teunissen CE. Towards a future where Alzheimer's disease pathology is stopped before the onset of dementia. NATURE AGING 2023; 3:494-505. [PMID: 37202515 DOI: 10.1038/s43587-023-00404-2] [Citation(s) in RCA: 31] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 03/21/2023] [Indexed: 05/20/2023]
Abstract
Alzheimer's disease (AD) is a major healthcare challenge with no curative treatment at present. To address this challenge, we need a paradigm shift, where we focus on pre-dementia stages of AD. In this Perspective, we outline a strategy to move towards a future with personalized medicine for AD by preparing for and investing in effective and patient-orchestrated diagnosis, prediction and prevention of the dementia stage. While focusing on AD, this Perspective also discusses studies that do not specify the cause of dementia. Future personalized prevention strategies encompass multiple components, including tailored combinations of disease-modifying interventions and lifestyle. By empowering the public and patients to be more actively engaged in the management of their health and disease and by developing improved strategies for diagnosis, prediction and prevention, we can pave the way for a future with personalized medicine, in which AD pathology is stopped to prevent or delay the onset of dementia.
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Affiliation(s)
- Wiesje M van der Flier
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands.
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands.
- Epidemiology and Data Science, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands.
| | - Marjolein E de Vugt
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, Maastricht, the Netherlands
| | - Ellen M A Smets
- Medical Psychology, Amsterdam UMC location AMC, Amsterdam, the Netherlands
| | - Marco Blom
- Alzheimer Nederland, Amersfoort, Utrecht, the Netherlands
| | - Charlotte E Teunissen
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Neurochemistry Laboratory, Clinical Chemistry, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
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189
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Schindler SE, Atri A. The role of cerebrospinal fluid and other biomarker modalities in the Alzheimer's disease diagnostic revolution. NATURE AGING 2023; 3:460-462. [PMID: 37202514 PMCID: PMC10720501 DOI: 10.1038/s43587-023-00400-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
A major transformation in dementia diagnosis and care appears imminent and will depend on three major types of biomarkers: molecular imaging, blood-based biomarkers, and cerebrospinal fluid biomarkers. Each modality has unique strengths and limitations that suggest its optimal uses in research, clinical trials, and clinical diagnosis.
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Affiliation(s)
- Suzanne E Schindler
- Department of Neurology, Washington University in St Louis, St Louis, MO, USA.
- Charles F. and Joanne Knight Alzheimer Disease Research Center, St Louis, MO, USA.
| | - Alireza Atri
- Banner Sun Health Research Institute, Banner Health, Sun City, AZ, USA
- Center for Brain/Mind Medicine, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
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190
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Ashton NJ, Puig-Pijoan A, Milà-Alomà M, Fernández-Lebrero A, García-Escobar G, González-Ortiz F, Kac PR, Brum WS, Benedet AL, Lantero-Rodriguez J, Day TA, Vanbrabant J, Stoops E, Vanmechelen E, Triana-Baltzer G, Moughadam S, Kolb H, Ortiz-Romero P, Karikari TK, Minguillon C, Sánchez JJH, Navalpotro-Gómez I, Grau-Rivera O, Manero RM, Puente-Periz V, de la Torre R, Roquer J, Dage JL, Zetterberg H, Blennow K, Suárez-Calvet M. Plasma and CSF biomarkers in a memory clinic: Head-to-head comparison of phosphorylated tau immunoassays. Alzheimers Dement 2023; 19:1913-1924. [PMID: 36370462 PMCID: PMC10762642 DOI: 10.1002/alz.12841] [Citation(s) in RCA: 60] [Impact Index Per Article: 60.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 09/27/2022] [Accepted: 09/30/2022] [Indexed: 11/13/2022]
Abstract
INTRODUCTION Direct comparisons of the main blood phosphorylated tau immunoassays in memory clinic populations are needed to understand possible differences. METHODS In the BIODEGMAR study, 197 participants presenting with cognitive complaints were classified into an Alzheimer's disease (AD) or a non-AD cerebrospinal fluid (CSF) profile group, according to their amyloid beta 42/ phosphorylated tau (Aβ42/p-tau) ratio. We performed a head-to-head comparison of nine plasma and nine CSF tau immunoassays and determined their accuracy to discriminate abnormal CSF Aβ42/p-tau ratio. RESULTS All studied plasma tau biomarkers were significantly higher in the AD CSF profile group compared to the non-AD CSF profile group and significantly discriminated abnormal CSF Aβ42/p-tau ratio. For plasma p-tau biomarkers, the higher discrimination accuracy was shown by Janssen p-tau217 (r = 0.76; area under the curve [AUC] = 0.96), ADx p-tau181 (r = 0.73; AUC = 0.94), and Lilly p-tau217 (r = 0.73; AUC = 0.94). DISCUSSION Several plasma p-tau biomarkers can be used in a specialized memory clinic as a stand-alone biomarker to detect biologically-defined AD. HIGHLIGHTS Patients with an Alzheimer's disease cerebrospinal fluid (AD CSF) profile have higher plasma phosphorylated tau (p-tau) levels than the non-AD CSF profile group. All plasma p-tau biomarkers significantly discriminate patients with an AD CSF profile from the non-AD CSF profile group. Janssen p-tau217, ADx p-tau181, and Lilly p-tau217 in plasma show the highest accuracy to detect biologically defined AD. Janssen p-tau217, ADx p-tau181, Lilly p-tau217, Lilly p-tau181, and UGot p-tau231 in plasma show performances that are comparable to their CSF counterparts.
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Affiliation(s)
- Nicholas J. Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden
- Wallenberg Centre for Molecular and Translational Medicine, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Sweden
- King’s College London, Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute, London, UK
- NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation, London, UK
| | - Albert Puig-Pijoan
- Cognitive Decline and Movement Disorders Unit, Neurology Department, Hospital del Mar, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Marta Milà-Alomà
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Aida Fernández-Lebrero
- Cognitive Decline and Movement Disorders Unit, Neurology Department, Hospital del Mar, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
| | - Greta García-Escobar
- Cognitive Decline and Movement Disorders Unit, Neurology Department, Hospital del Mar, Barcelona, Spain
| | - Fernándo González-Ortiz
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
| | - Przemysław R. Kac
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden
| | - Wagner S. Brum
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden
- Graduate Program in Biological Sciences: Biochemistry, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
| | - Andréa L. Benedet
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden
| | - Juan Lantero-Rodriguez
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden
| | - Theresa A. Day
- Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana, USA
| | | | - Erik Stoops
- ADx NeuroSciences, Technologiepark 94, Ghent, Belgium
| | | | | | - Setareh Moughadam
- Neuroscience Biomarkers Janssen Research & Development La Jolla California, USA
| | - Hartmuth Kolb
- Neuroscience Biomarkers Janssen Research & Development La Jolla California, USA
| | - Paula Ortiz-Romero
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
| | - Thomas K. Karikari
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Carolina Minguillon
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | | | - Irene Navalpotro-Gómez
- Cognitive Decline and Movement Disorders Unit, Neurology Department, Hospital del Mar, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
| | - Oriol Grau-Rivera
- Cognitive Decline and Movement Disorders Unit, Neurology Department, Hospital del Mar, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Rosa María Manero
- Cognitive Decline and Movement Disorders Unit, Neurology Department, Hospital del Mar, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Víctor Puente-Periz
- Cognitive Decline and Movement Disorders Unit, Neurology Department, Hospital del Mar, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Rafael de la Torre
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra (CEXS-UPF), Barcelona, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Madrid, Spain
| | - Jaume Roquer
- Cognitive Decline and Movement Disorders Unit, Neurology Department, Hospital del Mar, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jeff L. Dage
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Marc Suárez-Calvet
- Cognitive Decline and Movement Disorders Unit, Neurology Department, Hospital del Mar, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
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191
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Hansson O, Blennow K, Zetterberg H, Dage J. Blood biomarkers for Alzheimer's disease in clinical practice and trials. NATURE AGING 2023; 3:506-519. [PMID: 37202517 PMCID: PMC10979350 DOI: 10.1038/s43587-023-00403-3] [Citation(s) in RCA: 73] [Impact Index Per Article: 73.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 03/21/2023] [Indexed: 05/20/2023]
Abstract
Blood-based biomarkers hold great promise to revolutionize the diagnostic and prognostic work-up of Alzheimer's disease (AD) in clinical practice. This is very timely, considering the recent development of anti-amyloid-β (Aβ) immunotherapies. Several assays for measuring phosphorylated tau (p-tau) in plasma exhibit high diagnostic accuracy in distinguishing AD from all other neurodegenerative diseases in patients with cognitive impairment. Prognostic models based on plasma p-tau levels can also predict future development of AD dementia in patients with mild cognitive complaints. The use of such high-performing plasma p-tau assays in the clinical practice of specialist memory clinics would reduce the need for more costly investigations involving cerebrospinal fluid samples or positron emission tomography. Indeed, blood-based biomarkers already facilitate identification of individuals with pre-symptomatic AD in the context of clinical trials. Longitudinal measurements of such biomarkers will also improve the detection of relevant disease-modifying effects of new drugs or lifestyle interventions.
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Affiliation(s)
- Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden.
- Memory Clinic, Skåne University Hospital, Lund, Sweden.
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for 27 Neurodegenerative Diseases, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Jeffrey Dage
- Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, USA
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA
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192
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Montoliu-Gaya L, Benedet AL, Tissot C, Vrillon A, Ashton NJ, Brum WS, Lantero-Rodriguez J, Stevenson J, Nilsson J, Sauer M, Rahmouni N, Brinkmalm G, Lussier FZ, Pascoal TA, Skoog I, Kern S, Zetterberg H, Paquet C, Gobom J, Rosa-Neto P, Blennow K. Mass spectrometric simultaneous quantification of tau species in plasma shows differential associations with amyloid and tau pathologies. NATURE AGING 2023:10.1038/s43587-023-00405-1. [PMID: 37198279 DOI: 10.1038/s43587-023-00405-1] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Accepted: 03/22/2023] [Indexed: 05/19/2023]
Abstract
Blood phosphorylated tau (p-tau) biomarkers, at differing sites, demonstrate high accuracy to detect Alzheimer's disease (AD). However, knowledge on the optimal marker for disease identification across the AD continuum and the link to pathology is limited. This is partly due to heterogeneity in analytical methods. In this study, we employed an immunoprecipitation mass spectrometry method to simultaneously quantify six phosphorylated (p-tau181, p-tau199, p-tau202, p-tau205, p-tau217 and p-tau231) and two non-phosphorylated plasma tau peptides in a total of 214 participants from the Paris Lariboisière and Translational Biomarkers of Aging and Dementia cohorts. Our results indicate that p-tau217, p-tau231 and p-tau205 are the plasma tau forms that best reflect AD-related brain changes, although with distinct emergences along the disease course and correlations with AD features-amyloid and tau. These findings support the differential association of blood p-tau variants with AD pathology, and our method offers a potential tool for disease staging in clinical trials.
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Affiliation(s)
- Laia Montoliu-Gaya
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
| | - Andréa L Benedet
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Cécile Tissot
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada
| | - Agathe Vrillon
- Université de Paris, Cognitive Neurology Center, GHUNord APHP Hospital Lariboisière Fernand Widal, Paris, France
- Université de Paris, Inserm UMRS11-44 Therapeutic Optimization in Neuropsychopharmacology, Paris, France
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
- Department of Old Age Psychiatry, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK
- NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation, London, UK
| | - Wagner S Brum
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Graduate Program in Biological Sciences: Biochemistry, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
| | - Juan Lantero-Rodriguez
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Jenna Stevenson
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada
| | - Johanna Nilsson
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Mathias Sauer
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Nesrine Rahmouni
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada
| | - Gunnar Brinkmalm
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Firoza Z Lussier
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada
| | - Tharick A Pascoal
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Ingmar Skoog
- Department of Neuropsychiatric Epidemiology, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
- Department of Psychiatry Cognition and Old Age Psychiatry, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Silke Kern
- Department of Neuropsychiatric Epidemiology, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
- Department of Psychiatry Cognition and Old Age Psychiatry, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London, London, UK
- UK Dementia Research Institute, University College London, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
- UW Department of Medicine, School of Medicine and Public Health, Madison, WI, USA
| | - Claire Paquet
- Université de Paris, Cognitive Neurology Center, GHUNord APHP Hospital Lariboisière Fernand Widal, Paris, France
- Université de Paris, Inserm UMRS11-44 Therapeutic Optimization in Neuropsychopharmacology, Paris, France
| | - Johan Gobom
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Pedro Rosa-Neto
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.
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193
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Bilgel M, An Y, Walker KA, Moghekar AR, Ashton NJ, Kac PR, Karikari TK, Blennow K, Zetterberg H, Jedynak BM, Thambisetty M, Ferrucci L, Resnick SM. Longitudinal changes in Alzheimer's-related plasma biomarkers and brain amyloid. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.01.12.23284439. [PMID: 36711545 PMCID: PMC9882432 DOI: 10.1101/2023.01.12.23284439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
INTRODUCTION Understanding longitudinal plasma biomarker trajectories relative to brain amyloid changes can help devise Alzheimer's progression assessment strategies. METHODS We examined the temporal order of changes in plasma amyloid-β ratio (Aβ 42 /Aβ 40 ), glial fibrillary acidic protein (GFAP), neurofilament light chain (NfL), and phosphorylated tau ratios (p-tau181/Aβ 42 , p-tau231/Aβ 42 ) relative to 11 C-Pittsburgh compound B (PiB) positron emission tomography (PET) cortical amyloid burden (PiB-/+). Participants (n = 199) were cognitively normal at index visit with a median 6.1-year follow-up. RESULTS PiB groups exhibited different rates of longitudinal change in Aβ 42 /Aβ 40 (β = 5.41 × 10^ -4 , SE = 1.95 × 10 -4 , p = 0.0073). Change in brain amyloid was correlated with change in GFAP (r = 0.5, 95% CI = [0.26, 0.68]). Greatest relative decline in Aβ 42 /Aβ 40 (-1%/year) preceded brain amyloid positivity onset by 41 years (95% CI = [32, 53]). DISCUSSION Plasma Aβ 42 /Aβ 40 may begin declining decades prior to brain amyloid accumulation, whereas p-tau ratios, GFAP, and NfL increase closer in time.
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Affiliation(s)
- Murat Bilgel
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, Maryland, 21224, USA
| | - Yang An
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, Maryland, 21224, USA
| | - Keenan A. Walker
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, Maryland, 21224, USA
| | - Abhay R. Moghekar
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, 21287, USA
| | - Nicholas J. Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, 431 80 Mölndal, Sweden
- King’s College London, Institute of Psychiatry, Psychology and Neuroscience, Maurice Wohl Clinical Neuroscience Institute, London, SE5 9RX, UK
- NIHR Biomedical Research Centre for Mental Health and Biomedical Research, Unit for Dementia at South London and Maudsley, NHS Foundation, London, SE5 8AF, UK
- Centre for Age-Related Medicine, Stavanger University Hospital, 4019 Stavanger, Norway
| | - Przemyslaw R. Kac
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, 431 80 Mölndal, Sweden
| | - Thomas K. Karikari
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, 431 80 Mölndal, Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, 431 80 Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, 431 80 Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, 431 80 Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, 431 80 Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
- UK Dementia Research Institute at UCL, London, WC1E 6BT, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53792, USA
| | - Bruno M. Jedynak
- Department of Mathematics and Statistics, Portland State University, Portland, Oregon, 97201, USA
| | - Madhav Thambisetty
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, Maryland, 21224, USA
| | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute on Aging, Baltimore, Maryland, 21224, USA
| | - Susan M. Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, Maryland, 21224, USA
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194
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Zabala-Findlay A, Penny LK, Lofthouse RA, Porter AJ, Palliyil S, Harrington CR, Wischik CM, Arastoo M. Utility of Blood-Based Tau Biomarkers for Mild Cognitive Impairment and Alzheimer's Disease: Systematic Review and Meta-Analysis. Cells 2023; 12:cells12081184. [PMID: 37190093 DOI: 10.3390/cells12081184] [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: 02/06/2023] [Revised: 04/04/2023] [Accepted: 04/10/2023] [Indexed: 05/17/2023] Open
Abstract
OBJECTIVES With the development of new technologies capable of detecting low concentrations of Alzheimer's disease (AD) relevant biomarkers, the idea of a blood-based diagnosis of AD is nearing reality. This study aims to consider the evidence of total and phosphorylated tau as blood-based biomarkers for mild cognitive impairment (MCI) and AD when compared to healthy controls. METHODS Studies published between 1 January 2012 and 1 May 2021 (Embase and MEDLINE databases) measuring plasma/serum levels of tau in AD, MCI, and control cohorts were screened for eligibility, including quality and bias assessment via a modified QUADAS. The meta-analyses comprised 48 studies assessing total tau (t-tau), tau phosphorylated at threonine 181 (p-tau181), and tau phosphorylated at threonine 217 (p-tau217), comparing the ratio of biomarker concentrations in MCI, AD, and cognitively unimpaired (CU) controls. RESULTS Plasma/serum p-tau181 (mean effect size, 95% CI, 2.02 (1.76-2.27)) and t-tau (mean effect size, 95% CI, 1.77 (1.49-2.04)) were elevated in AD study participants compared to controls. Plasma/serum p-tau181 (mean effect size, 95% CI, 1.34 (1.20-1.49)) and t-tau (mean effect size, 95% CI, 1.47 (1.26-1.67)) were also elevated with moderate effect size in MCI study participants compared to controls. p-tau217 was also assessed, albeit in a small number of eligible studies, for AD vs. CU (mean effect size, 95% CI, 1.89 (1.86-1.92)) and for MCI vs. CU groups (mean effect size, 95% CI, 4.16 (3.61-4.71)). CONCLUSIONS This paper highlights the growing evidence that blood-based tau biomarkers have early diagnostic utility for Alzheimer's disease. REGISTRATION PROSPERO No. CRD42020209482.
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Affiliation(s)
- Alex Zabala-Findlay
- Institute of Medical Sciences, University of Aberdeen, Aberdeen AB25 2ZD, UK
- Scottish Biologics Facility, University of Aberdeen, Aberdeen AB25 2ZP, UK
| | - Lewis K Penny
- Institute of Medical Sciences, University of Aberdeen, Aberdeen AB25 2ZD, UK
- Scottish Biologics Facility, University of Aberdeen, Aberdeen AB25 2ZP, UK
| | - Richard A Lofthouse
- Institute of Medical Sciences, University of Aberdeen, Aberdeen AB25 2ZD, UK
- Scottish Biologics Facility, University of Aberdeen, Aberdeen AB25 2ZP, UK
| | - Andrew J Porter
- Institute of Medical Sciences, University of Aberdeen, Aberdeen AB25 2ZD, UK
- Scottish Biologics Facility, University of Aberdeen, Aberdeen AB25 2ZP, UK
| | - Soumya Palliyil
- Institute of Medical Sciences, University of Aberdeen, Aberdeen AB25 2ZD, UK
- Scottish Biologics Facility, University of Aberdeen, Aberdeen AB25 2ZP, UK
| | - Charles R Harrington
- Institute of Medical Sciences, University of Aberdeen, Aberdeen AB25 2ZD, UK
- GT Diagnostics, Aberdeen AB24 5RP, UK
- TauRx Therapeutics Ltd., Aberdeen AB24 5RP, UK
| | - Claude M Wischik
- Institute of Medical Sciences, University of Aberdeen, Aberdeen AB25 2ZD, UK
- GT Diagnostics, Aberdeen AB24 5RP, UK
- TauRx Therapeutics Ltd., Aberdeen AB24 5RP, UK
| | - Mohammad Arastoo
- Institute of Medical Sciences, University of Aberdeen, Aberdeen AB25 2ZD, UK
- Scottish Biologics Facility, University of Aberdeen, Aberdeen AB25 2ZP, UK
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195
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Mirkin S, Albensi BC. Should artificial intelligence be used in conjunction with Neuroimaging in the diagnosis of Alzheimer's disease? Front Aging Neurosci 2023; 15:1094233. [PMID: 37187577 PMCID: PMC10177660 DOI: 10.3389/fnagi.2023.1094233] [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: 11/09/2022] [Accepted: 03/27/2023] [Indexed: 05/17/2023] Open
Abstract
Alzheimer's disease (AD) is a progressive, neurodegenerative disorder that affects memory, thinking, behavior, and other cognitive functions. Although there is no cure, detecting AD early is important for the development of a therapeutic plan and a care plan that may preserve cognitive function and prevent irreversible damage. Neuroimaging, such as magnetic resonance imaging (MRI), computed tomography (CT), and positron emission tomography (PET), has served as a critical tool in establishing diagnostic indicators of AD during the preclinical stage. However, as neuroimaging technology quickly advances, there is a challenge in analyzing and interpreting vast amounts of brain imaging data. Given these limitations, there is great interest in using artificial Intelligence (AI) to assist in this process. AI introduces limitless possibilities in the future diagnosis of AD, yet there is still resistance from the healthcare community to incorporate AI in the clinical setting. The goal of this review is to answer the question of whether AI should be used in conjunction with neuroimaging in the diagnosis of AD. To answer the question, the possible benefits and disadvantages of AI are discussed. The main advantages of AI are its potential to improve diagnostic accuracy, improve the efficiency in analyzing radiographic data, reduce physician burnout, and advance precision medicine. The disadvantages include generalization and data shortage, lack of in vivo gold standard, skepticism in the medical community, potential for physician bias, and concerns over patient information, privacy, and safety. Although the challenges present fundamental concerns and must be addressed when the time comes, it would be unethical not to use AI if it can improve patient health and outcome.
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Affiliation(s)
- Sophia Mirkin
- Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Fort Lauderdale, FL, United States
| | - Benedict C. Albensi
- Barry and Judy Silverman College of Pharmacy, Nova Southeastern University, Fort Lauderdale, FL, United States
- St. Boniface Hospital Research, Winnipeg, MB, Canada
- University of Manitoba, Winnipeg, MB, Canada
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196
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Coulthard E, Hosseini AA. Blood biomarkers: ready for clinical practice? J Neurol Neurosurg Psychiatry 2023; 94:409-410. [PMID: 37012069 DOI: 10.1136/jnnp-2022-330958] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 01/24/2023] [Indexed: 04/05/2023]
Affiliation(s)
- Elizabeth Coulthard
- Bristol Medical School, University of Bristol, Bristol, UK
- Neurology Department, North Bristol NHS Trust, Bristol, UK
| | - Akram A Hosseini
- Department of Academic Neurology, Nottingham University Hospitals NHS Trust, Queen's Medical Centre, Nottingham, UK
- Sir Peter Mansfield Imaging Centre, University of Nottingham University Park Campus, Nottingham, UK
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197
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Allué JA, Pascual‐Lucas M, Sarasa L, Castillo S, Sarasa M, Sáez ME, Abdel‐Latif S, Rissman RA, Terencio J. Clinical utility of an antibody-free LC-MS method to detect brain amyloid deposition in cognitively unimpaired individuals from the screening visit of the A4 Study. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2023; 15:e12451. [PMID: 37274930 PMCID: PMC10236000 DOI: 10.1002/dad2.12451] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 05/08/2023] [Accepted: 05/08/2023] [Indexed: 06/07/2023]
Abstract
INTRODUCTION This study explored the ability of plasma amyloid beta (Aβ)42/Aβ40 to identify brain amyloid deposition in cognitively unimpaired (CU) individuals. METHODS Plasma Aβ was quantified with an antibody-free high-performance liquid chromatography tandem mass spectrometry method from Araclon Biotech (ABtest-MS) in a subset of 731 CU individuals from the screening visit of the Anti-Amyloid Treatment in Asymptomatic Alzheimer's (A4) Study, to assess associations of Aβ42/Aβ40 with Aβ positron emission tomography (PET). RESULTS A model including Aβ42/Aβ40, age, apolipoprotein E ε4, and recruitment site identified Aβ PET status with an area under the curve of 0.88 and an overall accuracy of 81%. A plasma-based pre-screening step could save up to 42% of the total number of Aβ PET scans. DISCUSSION ABtest-MS accurately identified brain amyloid deposition in a population of CU individuals, supporting its implementation in AD secondary prevention trials to reduce recruitment time and costs. Although a certain degree of heterogeneity is inherent to large and multicentric trials, ABtest-MS could be more robust to pre-analytical bias compared to other immunoprecipitation mass spectrometry methods. HIGHLIGHTS Plasma amyloid beta (Aβ)42/Aβ40 accurately identified brain Aβ deposition in cognitively unimpaired individuals from the Anti-Amyloid Treatment in Asymptomatic Alzheimer's (A4) Study.The inclusion of the recruitment site in the predictive models has a non-negligible effect.A plasma biomarker-based model could reduce recruitment costs in Alzheimer's disease secondary prevention trials.Antibody-free liquid chromatography mass spectrometry methods may be more robust to pre-analytical variability than other platforms.
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Affiliation(s)
| | | | | | | | | | | | - Sara Abdel‐Latif
- Alzheimer's Therapeutic Research Institute, Keck School of MedicineUniversity of Southern CaliforniaSan DiegoCaliforniaUSA
| | - Robert A. Rissman
- Alzheimer's Therapeutic Research Institute, Keck School of MedicineUniversity of Southern CaliforniaSan DiegoCaliforniaUSA
- Department of NeurosciencesUniversity of CaliforniaSan Diego, La JollaCaliforniaUSA
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Thanapornsangsuth P, Booncharoen K, Luechaipanit W, Supharatpariyakorn T, Sarutikriangkri Y, Tangnimitchok S, Likitjaroen Y, Sukprakun C, Tepmongkol S, Hemachudha T. Prospective evaluation of plasma phosphorylated tau in a real-life memory clinic in Thailand. Alzheimers Dement 2023. [PMID: 36924432 DOI: 10.1002/alz.13022] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 02/02/2023] [Accepted: 02/03/2023] [Indexed: 03/18/2023]
Abstract
INTRODUCTION Despite the substantial accuracy of plasma p-tau in diagnosing Alzheimer's disease (AD) in research cohorts, data on real-life memory clinic patients are lacking. METHODS Memory clinic patients at their early symptomatic stages were prospectively enrolled to undergo routine clinical assessment, plasma p-tau181 quantification (Simoa), amyloid and tau-positron emission tomography (PET). The diagnostic performance of plasma p-tau181, neurocognitive specialists, and regional tau-PET were compared head-to-head using amyloid-PET as the reference standard. RESULTS Plasma p-tau181 has the area under the curve (AUC), sensitivity, specificity, and accuracy of 0.84 (95% confidence interval [CI] 0.73-0.94), 0.80 (95% CI 0.64-0.90), 0.75 (95% CI 0.51-0.90), and 0.78 (95% CI 0.65-0.88) for detecting amyloid-PET positivity in early symptomatic patients, respectively. The AUC of clinical diagnosis and tau-PET were 0.70 (95% CI 0.56-0.85) and 0.88 (95% CI 0.79-0.97), respectively. DISCUSSION Plasma p-tau181 also performed well in real-life memory clinic settings and its role in clinical practice is supported.
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Affiliation(s)
- Poosanu Thanapornsangsuth
- Thai Red Cross Emerging Infectious Diseases Health Science Centre, World Health Organization Collaborating Centre for Research and Training on Viral Zoonoses, King Chulalongkorn Memorial Hospital The Thai Red Cross Society, Bangkok, Thailand.,Division of Neurology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.,Memory Clinic, King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok, Thailand
| | - Kittithatch Booncharoen
- Division of Neurology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.,Memory Clinic, King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok, Thailand.,Neurocognitive Unit, Division of Neurology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Watayuth Luechaipanit
- Thai Red Cross Emerging Infectious Diseases Health Science Centre, World Health Organization Collaborating Centre for Research and Training on Viral Zoonoses, King Chulalongkorn Memorial Hospital The Thai Red Cross Society, Bangkok, Thailand
| | - Thirawat Supharatpariyakorn
- Thai Red Cross Emerging Infectious Diseases Health Science Centre, World Health Organization Collaborating Centre for Research and Training on Viral Zoonoses, King Chulalongkorn Memorial Hospital The Thai Red Cross Society, Bangkok, Thailand
| | - Yuthachai Sarutikriangkri
- Memory Clinic, King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok, Thailand.,Neurocognitive Unit, Division of Neurology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Suchart Tangnimitchok
- Chulalongkorn Comprehensive Epilepsy Center of Excellence, King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok, Thailand
| | - Yuttachai Likitjaroen
- Division of Neurology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.,Memory Clinic, King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok, Thailand.,Neurocognitive Unit, Division of Neurology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Chanan Sukprakun
- Division of Nuclear Medicine, Department of Radiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Supatporn Tepmongkol
- Division of Nuclear Medicine, Department of Radiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Thiravat Hemachudha
- Thai Red Cross Emerging Infectious Diseases Health Science Centre, World Health Organization Collaborating Centre for Research and Training on Viral Zoonoses, King Chulalongkorn Memorial Hospital The Thai Red Cross Society, Bangkok, Thailand.,Division of Neurology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
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Salvadó G, Ossenkoppele R, Ashton NJ, Beach TG, Serrano GE, Reiman EM, Zetterberg H, Mattsson-Carlgren N, Janelidze S, Blennow K, Hansson O. Specific associations between plasma biomarkers and postmortem amyloid plaque and tau tangle loads. EMBO Mol Med 2023; 15:e17123. [PMID: 36912178 PMCID: PMC10165361 DOI: 10.15252/emmm.202217123] [Citation(s) in RCA: 56] [Impact Index Per Article: 56.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 02/21/2023] [Accepted: 02/21/2023] [Indexed: 03/14/2023] Open
Abstract
Several promising plasma biomarkers for Alzheimer's disease have been recently developed, but their neuropathological correlates have not yet been fully determined. To investigate and compare independent associations between multiple plasma biomarkers (p-tau181, p-tau217, p-tau231, Aβ42/40, GFAP, and NfL) and neuropathologic measures of amyloid and tau, we included 105 participants from the Arizona Study of Aging and Neurodegenerative Disorders (AZSAND) with antemortem plasma samples and a postmortem neuropathological exam, 48 of whom had longitudinal p-tau217 and p-tau181. When simultaneously including plaque and tangle loads, the Aβ42/40 ratio and p-tau231 were only associated with plaques (ρAβ42/40 [95%CI] = -0.53[-0.65, -0.35], ρp-tau231 [95%CI] = 0.28[0.10, 0.43]), GFAP was only associated with tangles (ρGFAP [95%CI] = 0.39[0.17, 0.57]), and p-tau217 and p-tau181 were associated with both plaques (ρp-tau217 [95%CI] = 0.40[0.21, 0.56], ρp-tau181 [95%CI] = 0.36[0.15, 0.50]) and tangles (ρp-tau217 [95%CI] = 0.52[0.34, 0.66]; ρp-tau181 [95%CI] = 0.36[0.17, 0.52]). A model combining p-tau217 and the Aβ42/40 ratio showed the highest accuracy for predicting the presence of Alzheimer's disease neuropathological change (ADNC, AUC[95%CI] = 0.89[0.82, 0.96]) and plaque load (R2 = 0.55), while p-tau217 alone was optimal for predicting tangle load (R2 = 0.45). Our results suggest that high-performing assays of plasma p-tau217 and Aβ42/40 might be an optimal combination to assess Alzheimer's-related pathology in vivo.
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Affiliation(s)
- Gemma Salvadó
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
| | - Rik Ossenkoppele
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden.,Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands.,Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Institute of Psychiatry, Psychology and Neuroscience, Maurice Wohl Institute Clinical Neuroscience Institute, King's College London, London, UK.,NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley, NHS Foundation, London, UK
| | | | | | - Eric M Reiman
- Banner Alzheimer's Institute, Arizona State University and University of Arizona, Phoenix, AZ, USA
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK.,UK Dementia Research Institute at UCL, London, UK.,Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | - Niklas Mattsson-Carlgren
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden.,Department of Neurology, Skåne University Hospital, Lund, Sweden.,Wallenberg Center for Molecular Medicine, Lund University, Lund, Sweden
| | - Shorena Janelidze
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden.,Memory Clinic, Skåne University Hospital, Malmö, Sweden
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200
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Chapman S, Rentería MA, Dworkin JD, Garriga SM, Barker MS, Avila-Rieger J, Gonzalez C, Joyce JL, Vonk JMJ, Soto E, Manly JJ, Brickman AM, Mayeux RP, Cosentino SA. Association of Subjective Cognitive Decline With Progression to Dementia in a Cognitively Unimpaired Multiracial Community Sample. Neurology 2023; 100:e1020-e1027. [PMID: 36450605 PMCID: PMC9990861 DOI: 10.1212/wnl.0000000000201658] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 10/20/2022] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND AND OBJECTIVES This prospective study seeks to examine the utility of subjective cognitive decline (SCD) as a marker of future progression to dementia in a community-based cohort of non-Latinx White, non-Latinx Black, and Latinx individuals. Debate surrounds the utility of SCD, the subjective perception of decline in one's cognition before such impairment is evident in traditional neuropsychological assessments, as an early indicator of impending Alzheimer disease. Unfortunately, most studies examining SCD have been conducted in non-Latinx White samples and commonly exclude groups of individuals shown to be most vulnerable to dementia. METHODS Participants were enrolled into this cohort study from the Washington Heights-Inwood Columbia Aging Project if they were cognitively unimpaired, had baseline measurement of SCD, and self-identified as non-Latinx White, non-Latinx Black, or Latinx. SCD was measured as a continuous sum of 10 items assessing cognitive complaints. Competing risk models tested the main effects of baseline SCD on progression to dementia. Models were adjusted for age, sex/gender, years of education, medical comorbidity burden, enrollment cohort, and baseline memory test performance with death jointly modelled as a function of race/ethnicity. RESULTS A total of 4,043 (1,063 non-Latinx White, 1,267 non-Latinx Black, and 1,713 Latinx) participants were selected for this study with a mean age of 75 years, 67% women, and with a mean follow-up of 5 years. Higher baseline SCD was associated with increased rates of incident dementia over time in the full sample (hazard ratio [HR] 1.085, CI 1.047-1.125, p < 0.001) and within Latinx (HR 1.084, CI 1.039-1.130, p < 0.001) and non-Latinx Black individuals (HR 1.099, CI 1.012-1.194, p = 0.024). DISCUSSION Overall results of this study support SCD as a prodromal marker of dementia in a multiracial community sample, and in Latinx and non-Latinx Black individuals in particular. Because models examining the risk of dementia were adjusted for baseline memory test performance, the results support the idea that SCD, a subjective reflection of one's own current cognitive functioning, contributes information above and beyond standard memory testing. Current findings highlight the importance of carefully evaluating any memory concerns raised by older adults during routine visits and underscore the potential utility of screening older adults for SCD.
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Affiliation(s)
- Silvia Chapman
- From the Cognitive Neuroscience Division (S.C., M.A.R., S.M.G., M.S.B., J.A.-R., J.L.J., E.S., J.J.M., A.M.B., R.P.M., S.A.C.), Taub Institute for Research on Alzheimer's Disease and the Aging Brain (S.C., M.A.R., S.M.G., M.S.B., J.A.-R., J.J.M., A.M.B., R.P.M., S.A.C.), Gertrude H. Sergievsky Center (M.A.R., J.A.-R., J.L.J., E.S., J.J.M., A.M.B., R.P.M., S.A.C.), Department of Neurology (M.A.R., J.J.M., A.M.B., R.P.M., S.A.C.), Columbia University Irving Medical Center, New York; New York State Psychiatric Institute (J.D.D.); Departments of Psychiatry and Biostatistics (J.D.D.), Columbia University Irving Medical Center, New York; Department of Psychology (C.G.), Illinois Institute of Technology, Chicago; Memory and Aging Center (J.M.J.V.), Department of Neurology, University of California San Francisco; and Julius Center for Health Sciences and Primary Care (J.M.J.V.), Department of Epidemiology, Utrecht University Medical Centre, the Netherlands
| | - Miguel Arce Rentería
- From the Cognitive Neuroscience Division (S.C., M.A.R., S.M.G., M.S.B., J.A.-R., J.L.J., E.S., J.J.M., A.M.B., R.P.M., S.A.C.), Taub Institute for Research on Alzheimer's Disease and the Aging Brain (S.C., M.A.R., S.M.G., M.S.B., J.A.-R., J.J.M., A.M.B., R.P.M., S.A.C.), Gertrude H. Sergievsky Center (M.A.R., J.A.-R., J.L.J., E.S., J.J.M., A.M.B., R.P.M., S.A.C.), Department of Neurology (M.A.R., J.J.M., A.M.B., R.P.M., S.A.C.), Columbia University Irving Medical Center, New York; New York State Psychiatric Institute (J.D.D.); Departments of Psychiatry and Biostatistics (J.D.D.), Columbia University Irving Medical Center, New York; Department of Psychology (C.G.), Illinois Institute of Technology, Chicago; Memory and Aging Center (J.M.J.V.), Department of Neurology, University of California San Francisco; and Julius Center for Health Sciences and Primary Care (J.M.J.V.), Department of Epidemiology, Utrecht University Medical Centre, the Netherlands
| | - Jordan D Dworkin
- From the Cognitive Neuroscience Division (S.C., M.A.R., S.M.G., M.S.B., J.A.-R., J.L.J., E.S., J.J.M., A.M.B., R.P.M., S.A.C.), Taub Institute for Research on Alzheimer's Disease and the Aging Brain (S.C., M.A.R., S.M.G., M.S.B., J.A.-R., J.J.M., A.M.B., R.P.M., S.A.C.), Gertrude H. Sergievsky Center (M.A.R., J.A.-R., J.L.J., E.S., J.J.M., A.M.B., R.P.M., S.A.C.), Department of Neurology (M.A.R., J.J.M., A.M.B., R.P.M., S.A.C.), Columbia University Irving Medical Center, New York; New York State Psychiatric Institute (J.D.D.); Departments of Psychiatry and Biostatistics (J.D.D.), Columbia University Irving Medical Center, New York; Department of Psychology (C.G.), Illinois Institute of Technology, Chicago; Memory and Aging Center (J.M.J.V.), Department of Neurology, University of California San Francisco; and Julius Center for Health Sciences and Primary Care (J.M.J.V.), Department of Epidemiology, Utrecht University Medical Centre, the Netherlands
| | - Stella M Garriga
- From the Cognitive Neuroscience Division (S.C., M.A.R., S.M.G., M.S.B., J.A.-R., J.L.J., E.S., J.J.M., A.M.B., R.P.M., S.A.C.), Taub Institute for Research on Alzheimer's Disease and the Aging Brain (S.C., M.A.R., S.M.G., M.S.B., J.A.-R., J.J.M., A.M.B., R.P.M., S.A.C.), Gertrude H. Sergievsky Center (M.A.R., J.A.-R., J.L.J., E.S., J.J.M., A.M.B., R.P.M., S.A.C.), Department of Neurology (M.A.R., J.J.M., A.M.B., R.P.M., S.A.C.), Columbia University Irving Medical Center, New York; New York State Psychiatric Institute (J.D.D.); Departments of Psychiatry and Biostatistics (J.D.D.), Columbia University Irving Medical Center, New York; Department of Psychology (C.G.), Illinois Institute of Technology, Chicago; Memory and Aging Center (J.M.J.V.), Department of Neurology, University of California San Francisco; and Julius Center for Health Sciences and Primary Care (J.M.J.V.), Department of Epidemiology, Utrecht University Medical Centre, the Netherlands
| | - Megan S Barker
- From the Cognitive Neuroscience Division (S.C., M.A.R., S.M.G., M.S.B., J.A.-R., J.L.J., E.S., J.J.M., A.M.B., R.P.M., S.A.C.), Taub Institute for Research on Alzheimer's Disease and the Aging Brain (S.C., M.A.R., S.M.G., M.S.B., J.A.-R., J.J.M., A.M.B., R.P.M., S.A.C.), Gertrude H. Sergievsky Center (M.A.R., J.A.-R., J.L.J., E.S., J.J.M., A.M.B., R.P.M., S.A.C.), Department of Neurology (M.A.R., J.J.M., A.M.B., R.P.M., S.A.C.), Columbia University Irving Medical Center, New York; New York State Psychiatric Institute (J.D.D.); Departments of Psychiatry and Biostatistics (J.D.D.), Columbia University Irving Medical Center, New York; Department of Psychology (C.G.), Illinois Institute of Technology, Chicago; Memory and Aging Center (J.M.J.V.), Department of Neurology, University of California San Francisco; and Julius Center for Health Sciences and Primary Care (J.M.J.V.), Department of Epidemiology, Utrecht University Medical Centre, the Netherlands
| | - Justina Avila-Rieger
- From the Cognitive Neuroscience Division (S.C., M.A.R., S.M.G., M.S.B., J.A.-R., J.L.J., E.S., J.J.M., A.M.B., R.P.M., S.A.C.), Taub Institute for Research on Alzheimer's Disease and the Aging Brain (S.C., M.A.R., S.M.G., M.S.B., J.A.-R., J.J.M., A.M.B., R.P.M., S.A.C.), Gertrude H. Sergievsky Center (M.A.R., J.A.-R., J.L.J., E.S., J.J.M., A.M.B., R.P.M., S.A.C.), Department of Neurology (M.A.R., J.J.M., A.M.B., R.P.M., S.A.C.), Columbia University Irving Medical Center, New York; New York State Psychiatric Institute (J.D.D.); Departments of Psychiatry and Biostatistics (J.D.D.), Columbia University Irving Medical Center, New York; Department of Psychology (C.G.), Illinois Institute of Technology, Chicago; Memory and Aging Center (J.M.J.V.), Department of Neurology, University of California San Francisco; and Julius Center for Health Sciences and Primary Care (J.M.J.V.), Department of Epidemiology, Utrecht University Medical Centre, the Netherlands
| | - Christopher Gonzalez
- From the Cognitive Neuroscience Division (S.C., M.A.R., S.M.G., M.S.B., J.A.-R., J.L.J., E.S., J.J.M., A.M.B., R.P.M., S.A.C.), Taub Institute for Research on Alzheimer's Disease and the Aging Brain (S.C., M.A.R., S.M.G., M.S.B., J.A.-R., J.J.M., A.M.B., R.P.M., S.A.C.), Gertrude H. Sergievsky Center (M.A.R., J.A.-R., J.L.J., E.S., J.J.M., A.M.B., R.P.M., S.A.C.), Department of Neurology (M.A.R., J.J.M., A.M.B., R.P.M., S.A.C.), Columbia University Irving Medical Center, New York; New York State Psychiatric Institute (J.D.D.); Departments of Psychiatry and Biostatistics (J.D.D.), Columbia University Irving Medical Center, New York; Department of Psychology (C.G.), Illinois Institute of Technology, Chicago; Memory and Aging Center (J.M.J.V.), Department of Neurology, University of California San Francisco; and Julius Center for Health Sciences and Primary Care (J.M.J.V.), Department of Epidemiology, Utrecht University Medical Centre, the Netherlands
| | - Jillian L Joyce
- From the Cognitive Neuroscience Division (S.C., M.A.R., S.M.G., M.S.B., J.A.-R., J.L.J., E.S., J.J.M., A.M.B., R.P.M., S.A.C.), Taub Institute for Research on Alzheimer's Disease and the Aging Brain (S.C., M.A.R., S.M.G., M.S.B., J.A.-R., J.J.M., A.M.B., R.P.M., S.A.C.), Gertrude H. Sergievsky Center (M.A.R., J.A.-R., J.L.J., E.S., J.J.M., A.M.B., R.P.M., S.A.C.), Department of Neurology (M.A.R., J.J.M., A.M.B., R.P.M., S.A.C.), Columbia University Irving Medical Center, New York; New York State Psychiatric Institute (J.D.D.); Departments of Psychiatry and Biostatistics (J.D.D.), Columbia University Irving Medical Center, New York; Department of Psychology (C.G.), Illinois Institute of Technology, Chicago; Memory and Aging Center (J.M.J.V.), Department of Neurology, University of California San Francisco; and Julius Center for Health Sciences and Primary Care (J.M.J.V.), Department of Epidemiology, Utrecht University Medical Centre, the Netherlands
| | - Jet M J Vonk
- From the Cognitive Neuroscience Division (S.C., M.A.R., S.M.G., M.S.B., J.A.-R., J.L.J., E.S., J.J.M., A.M.B., R.P.M., S.A.C.), Taub Institute for Research on Alzheimer's Disease and the Aging Brain (S.C., M.A.R., S.M.G., M.S.B., J.A.-R., J.J.M., A.M.B., R.P.M., S.A.C.), Gertrude H. Sergievsky Center (M.A.R., J.A.-R., J.L.J., E.S., J.J.M., A.M.B., R.P.M., S.A.C.), Department of Neurology (M.A.R., J.J.M., A.M.B., R.P.M., S.A.C.), Columbia University Irving Medical Center, New York; New York State Psychiatric Institute (J.D.D.); Departments of Psychiatry and Biostatistics (J.D.D.), Columbia University Irving Medical Center, New York; Department of Psychology (C.G.), Illinois Institute of Technology, Chicago; Memory and Aging Center (J.M.J.V.), Department of Neurology, University of California San Francisco; and Julius Center for Health Sciences and Primary Care (J.M.J.V.), Department of Epidemiology, Utrecht University Medical Centre, the Netherlands
| | - Elizabeth Soto
- From the Cognitive Neuroscience Division (S.C., M.A.R., S.M.G., M.S.B., J.A.-R., J.L.J., E.S., J.J.M., A.M.B., R.P.M., S.A.C.), Taub Institute for Research on Alzheimer's Disease and the Aging Brain (S.C., M.A.R., S.M.G., M.S.B., J.A.-R., J.J.M., A.M.B., R.P.M., S.A.C.), Gertrude H. Sergievsky Center (M.A.R., J.A.-R., J.L.J., E.S., J.J.M., A.M.B., R.P.M., S.A.C.), Department of Neurology (M.A.R., J.J.M., A.M.B., R.P.M., S.A.C.), Columbia University Irving Medical Center, New York; New York State Psychiatric Institute (J.D.D.); Departments of Psychiatry and Biostatistics (J.D.D.), Columbia University Irving Medical Center, New York; Department of Psychology (C.G.), Illinois Institute of Technology, Chicago; Memory and Aging Center (J.M.J.V.), Department of Neurology, University of California San Francisco; and Julius Center for Health Sciences and Primary Care (J.M.J.V.), Department of Epidemiology, Utrecht University Medical Centre, the Netherlands
| | - Jennifer J Manly
- From the Cognitive Neuroscience Division (S.C., M.A.R., S.M.G., M.S.B., J.A.-R., J.L.J., E.S., J.J.M., A.M.B., R.P.M., S.A.C.), Taub Institute for Research on Alzheimer's Disease and the Aging Brain (S.C., M.A.R., S.M.G., M.S.B., J.A.-R., J.J.M., A.M.B., R.P.M., S.A.C.), Gertrude H. Sergievsky Center (M.A.R., J.A.-R., J.L.J., E.S., J.J.M., A.M.B., R.P.M., S.A.C.), Department of Neurology (M.A.R., J.J.M., A.M.B., R.P.M., S.A.C.), Columbia University Irving Medical Center, New York; New York State Psychiatric Institute (J.D.D.); Departments of Psychiatry and Biostatistics (J.D.D.), Columbia University Irving Medical Center, New York; Department of Psychology (C.G.), Illinois Institute of Technology, Chicago; Memory and Aging Center (J.M.J.V.), Department of Neurology, University of California San Francisco; and Julius Center for Health Sciences and Primary Care (J.M.J.V.), Department of Epidemiology, Utrecht University Medical Centre, the Netherlands
| | - Adam M Brickman
- From the Cognitive Neuroscience Division (S.C., M.A.R., S.M.G., M.S.B., J.A.-R., J.L.J., E.S., J.J.M., A.M.B., R.P.M., S.A.C.), Taub Institute for Research on Alzheimer's Disease and the Aging Brain (S.C., M.A.R., S.M.G., M.S.B., J.A.-R., J.J.M., A.M.B., R.P.M., S.A.C.), Gertrude H. Sergievsky Center (M.A.R., J.A.-R., J.L.J., E.S., J.J.M., A.M.B., R.P.M., S.A.C.), Department of Neurology (M.A.R., J.J.M., A.M.B., R.P.M., S.A.C.), Columbia University Irving Medical Center, New York; New York State Psychiatric Institute (J.D.D.); Departments of Psychiatry and Biostatistics (J.D.D.), Columbia University Irving Medical Center, New York; Department of Psychology (C.G.), Illinois Institute of Technology, Chicago; Memory and Aging Center (J.M.J.V.), Department of Neurology, University of California San Francisco; and Julius Center for Health Sciences and Primary Care (J.M.J.V.), Department of Epidemiology, Utrecht University Medical Centre, the Netherlands
| | - Richard P Mayeux
- From the Cognitive Neuroscience Division (S.C., M.A.R., S.M.G., M.S.B., J.A.-R., J.L.J., E.S., J.J.M., A.M.B., R.P.M., S.A.C.), Taub Institute for Research on Alzheimer's Disease and the Aging Brain (S.C., M.A.R., S.M.G., M.S.B., J.A.-R., J.J.M., A.M.B., R.P.M., S.A.C.), Gertrude H. Sergievsky Center (M.A.R., J.A.-R., J.L.J., E.S., J.J.M., A.M.B., R.P.M., S.A.C.), Department of Neurology (M.A.R., J.J.M., A.M.B., R.P.M., S.A.C.), Columbia University Irving Medical Center, New York; New York State Psychiatric Institute (J.D.D.); Departments of Psychiatry and Biostatistics (J.D.D.), Columbia University Irving Medical Center, New York; Department of Psychology (C.G.), Illinois Institute of Technology, Chicago; Memory and Aging Center (J.M.J.V.), Department of Neurology, University of California San Francisco; and Julius Center for Health Sciences and Primary Care (J.M.J.V.), Department of Epidemiology, Utrecht University Medical Centre, the Netherlands
| | - Stephanie A Cosentino
- From the Cognitive Neuroscience Division (S.C., M.A.R., S.M.G., M.S.B., J.A.-R., J.L.J., E.S., J.J.M., A.M.B., R.P.M., S.A.C.), Taub Institute for Research on Alzheimer's Disease and the Aging Brain (S.C., M.A.R., S.M.G., M.S.B., J.A.-R., J.J.M., A.M.B., R.P.M., S.A.C.), Gertrude H. Sergievsky Center (M.A.R., J.A.-R., J.L.J., E.S., J.J.M., A.M.B., R.P.M., S.A.C.), Department of Neurology (M.A.R., J.J.M., A.M.B., R.P.M., S.A.C.), Columbia University Irving Medical Center, New York; New York State Psychiatric Institute (J.D.D.); Departments of Psychiatry and Biostatistics (J.D.D.), Columbia University Irving Medical Center, New York; Department of Psychology (C.G.), Illinois Institute of Technology, Chicago; Memory and Aging Center (J.M.J.V.), Department of Neurology, University of California San Francisco; and Julius Center for Health Sciences and Primary Care (J.M.J.V.), Department of Epidemiology, Utrecht University Medical Centre, the Netherlands.
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