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Grasset L, Bouteloup V, Cacciamani F, Pellegrin I, Planche V, Chêne G, Dufouil C. Associations Between Blood-Based Biomarkers and Cognitive and Functional Trajectories Among Participants of the MEMENTO Cohort. Neurology 2024; 102:e209307. [PMID: 38626384 DOI: 10.1212/wnl.0000000000209307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/18/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Elevated levels of Alzheimer disease (AD) blood-based biomarkers are associated with accelerated cognitive decline. However, their distinct relationships with specific cognitive and functional domains require further investigation. We aimed at estimating the associations between AD blood-based biomarkers and the trajectories of distinct cognitive and functional domains over a 5-year follow-up period. METHODS We conducted a clinic-based prospective study using data from the MEMENTO study, a nationwide French cohort. We selected dementia-free individuals at baseline aged 60 years or older. Baseline measurements of β-amyloid (Aβ) 40 and 42, phosphorylated tau (p-tau181), and neurofilament light chain (NfL) concentrations were obtained using the Simoa HD-X analyzer. Mini-Mental State Examination (MMSE), Free and Cued Selective Reminding Test (FCSRT), animal fluency, Trail Making Tests A and B, Short Physical Performance Battery (SPPB), and Instrumental Activities of Daily Living were administered annually for up to 5 years. We used linear mixed models, adjusted for potential confounders, to model AD biomarkers' relation with cognitive and functional decline. RESULTS A total of 1,938 participants were included in this study, with a mean (SD) baseline age of 72.8 (6.6) years, and 62% were women. Higher baseline p-tau181 and NfL were associated with significantly faster decline in most cognitive, physical, and functional outcomes (+1 SD p-tau181: βMMSE = -0.055, 95% CI -0.067 to -0.043, βFCSRT = -0.034, 95% CI -0.043 to -0.025, βfluency = -0.029, 95% CI -0.038 to -0.020, βSPPB = -0.040, 95% CI -0.057 to -0.022, and β4IADL = -0.115, 95% CI 0.091-0.140. +1 SD NfL: βMMSE = -0.039, 95% CI -0.053 to -0.025, βFCSRT = -0.022, 95% CI -0.032 to -0.012, βfluency = -0.014, 95% CI -0.024 to -0.004, and β4IADL = 0.077, 95% CI 0.048-0.105). A multiplicative association of p-tau181 and NfL with worsening cognitive and functional trajectories was evidenced. Lower Aβ42/40 ratio was only associated with slightly faster cognitive decline in FCSRT and semantic fluency (+1 SD: β = 0.011, 95% CI 0.002-0.020, and β = 0.011, 95% CI 0.003-0.020, respectively). These associations were not modified by APOE ε4, sex, nor education level. DISCUSSION In a memory clinic sample, p-tau181 and NfL, both independently and jointly, are linked to more pronounced cognitive, physical and functional declines. Blood-based biomarker measurement in AD research may provide useful insights regarding biological processes underlying cognitive, physical, and functional declines in at-risk individuals.
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Affiliation(s)
- Leslie Grasset
- From the UMR 1219 (L.G., V.B., F.C., G.C., C.D.), Bordeaux Population Health Center, University of Bordeaux, Inserm; CIC 1401-EC (L.G., V.B., F.C., G.C., C.D.), Inserm, University of Bordeaux, CHU de Bordeaux; Centre Hospitalier Universitaire (CHU) de Bordeaux (V.B., G.C., C.D.), Pole de sante publique; ARAMISLab (F.C.), Sorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière; Qairnel SAS (F.C.), Paris; Laboratory of Immunology and Immunogenetics (I.P.), Resources Biological Center (CRB), CHU Bordeaux; Univ. Bordeaux (I.P.), CNRS, ImmunoConcEpT, UMR 5164; and Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives, Centre Mémoire de Ressources et de Recherches, Pôle de Neurosciences Cliniques, CHU de Bordeaux, France
| | - Vincent Bouteloup
- From the UMR 1219 (L.G., V.B., F.C., G.C., C.D.), Bordeaux Population Health Center, University of Bordeaux, Inserm; CIC 1401-EC (L.G., V.B., F.C., G.C., C.D.), Inserm, University of Bordeaux, CHU de Bordeaux; Centre Hospitalier Universitaire (CHU) de Bordeaux (V.B., G.C., C.D.), Pole de sante publique; ARAMISLab (F.C.), Sorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière; Qairnel SAS (F.C.), Paris; Laboratory of Immunology and Immunogenetics (I.P.), Resources Biological Center (CRB), CHU Bordeaux; Univ. Bordeaux (I.P.), CNRS, ImmunoConcEpT, UMR 5164; and Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives, Centre Mémoire de Ressources et de Recherches, Pôle de Neurosciences Cliniques, CHU de Bordeaux, France
| | - Federica Cacciamani
- From the UMR 1219 (L.G., V.B., F.C., G.C., C.D.), Bordeaux Population Health Center, University of Bordeaux, Inserm; CIC 1401-EC (L.G., V.B., F.C., G.C., C.D.), Inserm, University of Bordeaux, CHU de Bordeaux; Centre Hospitalier Universitaire (CHU) de Bordeaux (V.B., G.C., C.D.), Pole de sante publique; ARAMISLab (F.C.), Sorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière; Qairnel SAS (F.C.), Paris; Laboratory of Immunology and Immunogenetics (I.P.), Resources Biological Center (CRB), CHU Bordeaux; Univ. Bordeaux (I.P.), CNRS, ImmunoConcEpT, UMR 5164; and Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives, Centre Mémoire de Ressources et de Recherches, Pôle de Neurosciences Cliniques, CHU de Bordeaux, France
| | - Isabelle Pellegrin
- From the UMR 1219 (L.G., V.B., F.C., G.C., C.D.), Bordeaux Population Health Center, University of Bordeaux, Inserm; CIC 1401-EC (L.G., V.B., F.C., G.C., C.D.), Inserm, University of Bordeaux, CHU de Bordeaux; Centre Hospitalier Universitaire (CHU) de Bordeaux (V.B., G.C., C.D.), Pole de sante publique; ARAMISLab (F.C.), Sorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière; Qairnel SAS (F.C.), Paris; Laboratory of Immunology and Immunogenetics (I.P.), Resources Biological Center (CRB), CHU Bordeaux; Univ. Bordeaux (I.P.), CNRS, ImmunoConcEpT, UMR 5164; and Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives, Centre Mémoire de Ressources et de Recherches, Pôle de Neurosciences Cliniques, CHU de Bordeaux, France
| | - Vincent Planche
- From the UMR 1219 (L.G., V.B., F.C., G.C., C.D.), Bordeaux Population Health Center, University of Bordeaux, Inserm; CIC 1401-EC (L.G., V.B., F.C., G.C., C.D.), Inserm, University of Bordeaux, CHU de Bordeaux; Centre Hospitalier Universitaire (CHU) de Bordeaux (V.B., G.C., C.D.), Pole de sante publique; ARAMISLab (F.C.), Sorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière; Qairnel SAS (F.C.), Paris; Laboratory of Immunology and Immunogenetics (I.P.), Resources Biological Center (CRB), CHU Bordeaux; Univ. Bordeaux (I.P.), CNRS, ImmunoConcEpT, UMR 5164; and Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives, Centre Mémoire de Ressources et de Recherches, Pôle de Neurosciences Cliniques, CHU de Bordeaux, France
| | - Geneviève Chêne
- From the UMR 1219 (L.G., V.B., F.C., G.C., C.D.), Bordeaux Population Health Center, University of Bordeaux, Inserm; CIC 1401-EC (L.G., V.B., F.C., G.C., C.D.), Inserm, University of Bordeaux, CHU de Bordeaux; Centre Hospitalier Universitaire (CHU) de Bordeaux (V.B., G.C., C.D.), Pole de sante publique; ARAMISLab (F.C.), Sorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière; Qairnel SAS (F.C.), Paris; Laboratory of Immunology and Immunogenetics (I.P.), Resources Biological Center (CRB), CHU Bordeaux; Univ. Bordeaux (I.P.), CNRS, ImmunoConcEpT, UMR 5164; and Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives, Centre Mémoire de Ressources et de Recherches, Pôle de Neurosciences Cliniques, CHU de Bordeaux, France
| | - Carole Dufouil
- From the UMR 1219 (L.G., V.B., F.C., G.C., C.D.), Bordeaux Population Health Center, University of Bordeaux, Inserm; CIC 1401-EC (L.G., V.B., F.C., G.C., C.D.), Inserm, University of Bordeaux, CHU de Bordeaux; Centre Hospitalier Universitaire (CHU) de Bordeaux (V.B., G.C., C.D.), Pole de sante publique; ARAMISLab (F.C.), Sorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière; Qairnel SAS (F.C.), Paris; Laboratory of Immunology and Immunogenetics (I.P.), Resources Biological Center (CRB), CHU Bordeaux; Univ. Bordeaux (I.P.), CNRS, ImmunoConcEpT, UMR 5164; and Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives, Centre Mémoire de Ressources et de Recherches, Pôle de Neurosciences Cliniques, CHU de Bordeaux, France
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López-Ortiz S, Caruso G, Emanuele E, Menéndez H, Peñín-Grandes S, Guerrera CS, Caraci F, Nisticò R, Lucia A, Santos-Lozano A, Lista S. Digging into the intrinsic capacity concept: Can it be applied to Alzheimer's disease? Prog Neurobiol 2024; 234:102574. [PMID: 38266702 DOI: 10.1016/j.pneurobio.2024.102574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 01/09/2024] [Accepted: 01/18/2024] [Indexed: 01/26/2024]
Abstract
Historically, aging research has largely centered on disease pathology rather than promoting healthy aging. The World Health Organization's (WHO) policy framework (2015-2030) underscores the significance of fostering the contributions of older individuals to their families, communities, and economies. The WHO has introduced the concept of intrinsic capacity (IC) as a key metric for healthy aging, encompassing five primary domains: locomotion, vitality, sensory, cognitive, and psychological. Past AD research, constrained by methodological limitations, has focused on single outcome measures, sidelining the complexity of the disease. Our current scientific milieu, however, is primed to adopt the IC concept. This is due to three critical considerations: (I) the decline in IC is linked to neurocognitive disorders, including AD, (II) cognition, a key component of IC, is deeply affected in AD, and (III) the cognitive decline associated with AD involves multiple factors and pathophysiological pathways. Our study explores the application of the IC concept to AD patients, offering a comprehensive model that could revolutionize the disease's diagnosis and prognosis. There is a dearth of information on the biological characteristics of IC, which are a result of complex interactions within biological systems. Employing a systems biology approach, integrating omics technologies, could aid in unraveling these interactions and understanding IC from a holistic viewpoint. This comprehensive analysis of IC could be leveraged in clinical settings, equipping healthcare providers to assess AD patients' health status more effectively and devise personalized therapeutic interventions in accordance with the precision medicine paradigm. We aimed to determine whether the IC concept could be extended from older individuals to patients with AD, thereby presenting a model that could significantly enhance the diagnosis and prognosis of this disease.
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Affiliation(s)
- Susana López-Ortiz
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), 47012 Valladolid, Spain
| | - Giuseppe Caruso
- Department of Drug and Health Sciences, University of Catania, 95125 Catania, Italy; Neuropharmacology and Translational Neurosciences Research Unit, Oasi Research Institute-IRCCS, 94018 Troina, Italy
| | | | - Héctor Menéndez
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), 47012 Valladolid, Spain
| | - Saúl Peñín-Grandes
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), 47012 Valladolid, Spain
| | - Claudia Savia Guerrera
- Department of Educational Sciences, University of Catania, 95125 Catania, Italy; Department of Biomedical and Biotechnological Sciences, University of Catania, 95125 Catania, Italy
| | - Filippo Caraci
- Department of Drug and Health Sciences, University of Catania, 95125 Catania, Italy; Neuropharmacology and Translational Neurosciences Research Unit, Oasi Research Institute-IRCCS, 94018 Troina, Italy
| | - Robert Nisticò
- School of Pharmacy, University of Rome "Tor Vergata", 00133 Rome, Italy; Laboratory of Pharmacology of Synaptic Plasticity, EBRI Rita Levi-Montalcini Foundation, 00143 Rome, Italy
| | - Alejandro Lucia
- Research Institute of the Hospital 12 de Octubre ('imas12'), 28041 Madrid, Spain; Faculty of Sport Sciences, European University of Madrid, 28670 Villaviciosa de Odón, Madrid, Spain; CIBER of Frailty and Healthy Ageing (CIBERFES), 28029 Madrid, Spain
| | - Alejandro Santos-Lozano
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), 47012 Valladolid, Spain; Research Institute of the Hospital 12 de Octubre ('imas12'), 28041 Madrid, Spain
| | - Simone Lista
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), 47012 Valladolid, Spain.
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Aggarwal G, Morley JE, Vellas B, Nguyen AD, Butler AA. Low circulating adropin concentrations predict increased risk of cognitive decline in community-dwelling older adults. GeroScience 2024; 46:897-911. [PMID: 37233882 PMCID: PMC10828274 DOI: 10.1007/s11357-023-00824-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 05/10/2023] [Indexed: 05/27/2023] Open
Abstract
The secreted peptide adropin is highly expressed in human brain tissues and correlates with RNA and proteomic risk indicators for dementia. Here we report that plasma adropin concentrations predict risk for cognitive decline in the Multidomain Alzheimer Preventive Trial (ClinicalTrials.gov Identifier, NCT00672685; mean age 75.8y, SD = 4.5 years, 60.2% female, n = 452). Cognitive ability was evaluated using a composite cognitive score (CCS) that assessed four domains: memory, language, executive function, and orientation. Relationships between plasma adropin concentrations and changes in CCS (∆CCS) were examined using Cox Proportional Hazards Regression, or by grouping into tertiles ranked low to high by adropin values and controlling for age, time between baseline and final visits, baseline CCS, and other risk factors (e.g., education, medication, APOE4 status). Risk of cognitive decline (defined as a ∆CCS of - 0.3 or more) decreased with increasing plasma adropin concentrations (hazard ratio = 0.873, 95% CI 0.780-0.977, P = 0.018). Between adropin tertiles, ∆CCS was significantly different (P = 0.01; estimated marginal mean ± SE for the 1st to 3rd tertile, - 0.317 ± 0.064; - 0.275 ± 0.063; - 0.042 ± 0.071; n = 133,146, and 130, respectively; P < 0.05 for 1st vs. 2nd and 3rd adropin tertiles). Normalized plasma Aß42/40 ratio and plasma neurofilament light chain, indicators of neurodegeneration, were significantly different between adropin tertile. These differences were consistent with reduced risk of cognitive decline with higher plasma adropin levels. Overall, these results suggest cognitive decline is reduced in community-dwelling older adults with higher circulating adropin levels. Further studies are needed to determine the underlying causes of the relationship and whether increasing adropin levels can delay cognitive decline.
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Affiliation(s)
- Geetika Aggarwal
- Henry and Amelia Nasrallah Center for Neuroscience, Saint Louis University, St. Louis, MO, USA
- Division of Geriatric Medicine, Department of Internal Medicine, Saint Louis University School of Medicine, St. Louis, MO, USA
- Department of Pharmacology & Physiology, Saint Louis University School of Medicine, St. Louis, MO, USA
| | - John E Morley
- Division of Geriatric Medicine, Department of Internal Medicine, Saint Louis University School of Medicine, St. Louis, MO, USA
| | - Bruno Vellas
- Gérontopôle de Toulouse, Institut du Vieillissement, Centre Hospitalo-Universitaire de Toulouse, 37 Allées Jules Guesdes, 31000, Toulouse, France
| | - Andrew D Nguyen
- Henry and Amelia Nasrallah Center for Neuroscience, Saint Louis University, St. Louis, MO, USA.
- Division of Geriatric Medicine, Department of Internal Medicine, Saint Louis University School of Medicine, St. Louis, MO, USA.
- Department of Pharmacology & Physiology, Saint Louis University School of Medicine, St. Louis, MO, USA.
| | - Andrew A Butler
- Henry and Amelia Nasrallah Center for Neuroscience, Saint Louis University, St. Louis, MO, USA.
- Department of Pharmacology & Physiology, Saint Louis University School of Medicine, St. Louis, MO, USA.
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Buckinx F, Brabant C, Bruyère O, Durieux N. Effects of nutritional counseling on physical performance and muscle strength in older adults: a systematic review protocol. JBI Evid Synth 2024; 22:305-313. [PMID: 37641802 DOI: 10.11124/jbies-22-00443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
OBJECTIVE The objective of this review is to synthesize the effects of nutritional counseling compared with no intervention (maintaining lifestyle habits) or nutritional counseling in combination with other interventions (eg, nutritional supplementation, physical activity) on physical performance and muscle strength in older adults. INTRODUCTION Nutritional counseling, which is considered the first line of nutrition therapy, could play an important role in geriatric care programs by helping older adults understand the importance of nutrition and by promoting healthy, sustainable eating habits. However, the effects of nutritional counseling on physical function and muscle strength among older adults are not clear. INCLUSION CRITERIA This review will consider randomized controlled trials and non-randomized controlled trials. Participants aged 65 years or older, who have received nutritional counseling alone or in combination with another intervention (eg, nutritional supplementation, physical exercise) will be considered for inclusion. Comparators will include another intervention or no intervention, but physical performance (ie, gait, endurance, balance) or muscle strength must be measured. METHODS This systematic review will be conducted in accordance with the JBI methodology for systematic reviews of effectiveness. The databases to be searched will include MEDLINE (Ovid), Embase, CENTRAL (Ovid), CINAHL (EBSCOhost), and Scopus. Sources of unpublished studies and gray literature will include Google Scholar and protocol registers. Two independent reviewers will select relevant studies, critically appraise the studies, and extract data. Studies will be pooled in a statistical meta-analysis or presented in narrative format. The Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approach will be used to grade the certainty of the evidence. REVIEW REGISTRATION PROSPERO CRD42022374527.
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Affiliation(s)
- Fanny Buckinx
- Division of Public Health, Epidemiology and Health Economics, University of Liège, Belgium
- WHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Ageing
| | - Christian Brabant
- Division of Public Health, Epidemiology and Health Economics, University of Liège, Belgium
- WHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Ageing
| | - Olivier Bruyère
- Division of Public Health, Epidemiology and Health Economics, University of Liège, Belgium
- WHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Ageing
- Department of Sports Sciences, University of Liège, Liège, Belgium
| | - Nancy Durieux
- Research Unit for a Life-Course Perspective on Health and Education - RUCHE, Faculty of Psychology, Speech and Language Therapy and Educational Sciences, University of Liège, Liège, Belgium
- JBI Belgium: A JBI Affiliated Group, Belgium Centre for Evidence-Based Medicine, Leuven, Belgium
- Cochrane Belgium, CEBAM, Leuven, Belgium
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Beydoun MA, Noren Hooten N, Beydoun HA, Weiss J, Maldonado AI, Katzel LI, Davatzikos C, Gullapalli RP, Seliger SL, Erus G, Evans MK, Zonderman AB, Waldstein SR. Plasma neurofilament light and brain volumetric outcomes among middle-aged urban adults. Neurobiol Aging 2023; 129:28-40. [PMID: 37257406 PMCID: PMC10524231 DOI: 10.1016/j.neurobiolaging.2023.04.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 04/05/2023] [Accepted: 04/30/2023] [Indexed: 06/02/2023]
Abstract
Elevated plasma neurofilament light chain (NfL) is associated with dementia though underlying mechanisms remain unknown. We examined cross-sectional relationships of time-dependent plasma NfL with selected brain structural magnetic resonance imaging (sMRI) prognostic markers of dementia. The sample was drawn from the Healthy Aging in Neighborhoods of Diversity Across the Life Span (HANDLS) study, selecting participants with complete v1 (2004-2009) and v2 (2009-2013) plasma NfL exposure and ancillary sMRI data at vscan (2011-2015, n = 179, mean v1 to vscan time: 5.4 years). Multivariable-adjusted linear regression models were conducted, overall, by sex, and race, correcting for multiple testing with q-values. NfL(v1) was associated with larger WMLV (both Loge transformed), after 5-6 years' follow-up, overall (β = +2.131 ± 0.660, b = +0.29, p = 0.001, and q = 0.0029) and among females. NfLv2 was linked to a 125 mm3 lower left hippocampal volume (p = 0.004 and q = 0.015) in reduced models, mainly among males, as was observed for annualized longitudinal change in NfL (δNfLbayes). Among African American adults, NfLv1 was inversely related to total, gray and white matter volumes. Plasma NfL may reflect future brain pathologies in middle-aged adults.
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Affiliation(s)
- May A Beydoun
- Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD, USA.
| | - Nicole Noren Hooten
- Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD, USA
| | - Hind A Beydoun
- Department of Research Programs, Fort Belvoir Community Hospital, Fort Belvoir, VA, USA
| | - Jordan Weiss
- Department of Demography, University of California Berkeley, Berkeley, CA, USA
| | - Ana I Maldonado
- Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD, USA; Department of Psychology, University of Maryland, Baltimore County, Catonsville, MD, USA
| | - Leslie I Katzel
- Geriatric Research Education and Clinical Center, Baltimore VA Medical Center, Baltimore, MD, USA; Division of Gerontology, Geriatrics and Palliative Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Christos Davatzikos
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Rao P Gullapalli
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Stephen L Seliger
- Division of Nephrology, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Guray Erus
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Michele K Evans
- Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD, USA
| | - Alan B Zonderman
- Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD, USA
| | - Shari R Waldstein
- Department of Psychology, University of Maryland, Baltimore County, Catonsville, MD, USA; Geriatric Research Education and Clinical Center, Baltimore VA Medical Center, Baltimore, MD, USA; Division of Gerontology, Geriatrics and Palliative Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
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Capo X, Galmes-Panades AM, Navas-Enamorado C, Ortega-Moral A, Marín S, Cascante M, Sánchez-Polo A, Masmiquel L, Torrens-Mas M, Gonzalez-Freire M. Circulating Neurofilament Light Chain Levels Increase with Age and Are Associated with Worse Physical Function and Body Composition in Men but Not in Women. Int J Mol Sci 2023; 24:12751. [PMID: 37628936 PMCID: PMC10454444 DOI: 10.3390/ijms241612751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 08/05/2023] [Accepted: 08/09/2023] [Indexed: 08/27/2023] Open
Abstract
This study aimed to assess the relationship between age-related changes in Neurofilament Light Chain (NFL), a marker of neuronal function, and various factors including muscle function, body composition, and metabolomic markers. The study included 40 participants, aged 20 to 85 years. NFL levels were measured, and muscle function, body composition, and metabolomic markers were assessed. NFL levels increased significantly with age, particularly in men. Negative correlations were found between NFL levels and measures of muscle function, such as grip strength, walking speed, and chair test performance, indicating a decline in muscle performance with increasing NFL. These associations were more pronounced in men. NFL levels also negatively correlated with muscle quality in men, as measured by 50 kHz phase angle. In terms of body composition, NFL was positively correlated with markers of fat mass and negatively correlated with markers of muscle mass, predominantly in men. Metabolomic analysis revealed significant associations between NFL levels and specific metabolites, with gender-dependent relationships observed. This study provides insights into the relationship between circulating serum NFL, muscle function, and aging. Our findings hint at circulating NFL as a potential early marker of age-associated neurodegenerative processes, especially in men.
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Affiliation(s)
- Xavier Capo
- Translational Research in Aging and Longevity (TRIAL) Group, Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain; (X.C.); (A.M.G.-P.); (C.N.-E.); (A.O.-M.); (A.S.-P.); (M.T.-M.)
| | - Aina Maria Galmes-Panades
- Translational Research in Aging and Longevity (TRIAL) Group, Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain; (X.C.); (A.M.G.-P.); (C.N.-E.); (A.O.-M.); (A.S.-P.); (M.T.-M.)
- Physical Activity and Sport Sciences Research Group (GICAFE), Institute for Educational Research and Innovation (IRIE), University of the Balearic Islands, 07120 Palma de Mallorca, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - Cayetano Navas-Enamorado
- Translational Research in Aging and Longevity (TRIAL) Group, Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain; (X.C.); (A.M.G.-P.); (C.N.-E.); (A.O.-M.); (A.S.-P.); (M.T.-M.)
| | - Ana Ortega-Moral
- Translational Research in Aging and Longevity (TRIAL) Group, Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain; (X.C.); (A.M.G.-P.); (C.N.-E.); (A.O.-M.); (A.S.-P.); (M.T.-M.)
| | - Silvia Marín
- Department of Biochemistry and Molecular Biomedicine, Faculty of Biology, Universitat de Barcelona, 08028 Barcelona, Spain; (S.M.); (M.C.)
- Institute of Biomedicine of University of Barcelona (IBUB), University of Barcelona, 08028 Barcelona, Spain
- CIBEREHD, Network Center for Hepatic and Digestive Diseases, National Spanish Health Institute Carlos III (ISCIII), 28029 Madrid, Spain
| | - Marta Cascante
- Department of Biochemistry and Molecular Biomedicine, Faculty of Biology, Universitat de Barcelona, 08028 Barcelona, Spain; (S.M.); (M.C.)
- Institute of Biomedicine of University of Barcelona (IBUB), University of Barcelona, 08028 Barcelona, Spain
- CIBEREHD, Network Center for Hepatic and Digestive Diseases, National Spanish Health Institute Carlos III (ISCIII), 28029 Madrid, Spain
| | - Andrés Sánchez-Polo
- Translational Research in Aging and Longevity (TRIAL) Group, Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain; (X.C.); (A.M.G.-P.); (C.N.-E.); (A.O.-M.); (A.S.-P.); (M.T.-M.)
| | - Luis Masmiquel
- Vascular and Metabolic Pathologies Group, Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain;
| | - Margalida Torrens-Mas
- Translational Research in Aging and Longevity (TRIAL) Group, Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain; (X.C.); (A.M.G.-P.); (C.N.-E.); (A.O.-M.); (A.S.-P.); (M.T.-M.)
- Grupo Multidisciplinar de Oncología Traslacional, Institut Universitari d´Investigació en Ciències de la Salut (IUNICS), University of the Balearic Islands, 07122 Palma de Mallorca, Spain
| | - Marta Gonzalez-Freire
- Translational Research in Aging and Longevity (TRIAL) Group, Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain; (X.C.); (A.M.G.-P.); (C.N.-E.); (A.O.-M.); (A.S.-P.); (M.T.-M.)
- Faculty of Experimental Sciences, Francisco de Vitoria University (UFV), 28223 Madrid, Spain
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Saunders TS, Pozzolo FE, Heslegrave A, King D, McGeachan RI, Spires-Jones MP, Harris SE, Ritchie C, Muniz-Terrera G, Deary IJ, Cox SR, Zetterberg H, Spires-Jones TL. Predictive blood biomarkers and brain changes associated with age-related cognitive decline. Brain Commun 2023; 5:fcad113. [PMID: 37180996 PMCID: PMC10167767 DOI: 10.1093/braincomms/fcad113] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 12/28/2022] [Accepted: 04/05/2023] [Indexed: 04/08/2023] Open
Abstract
Growing evidence supports the use of plasma levels of tau phosphorylated at threonine 181, amyloid-β, neurofilament light and glial fibrillary acidic protein as promising biomarkers for Alzheimer's disease. While these blood biomarkers are promising for distinguishing people with Alzheimer's disease from healthy controls, their predictive validity for age-related cognitive decline without dementia remains unclear. Further, while tau phosphorylated at threonine 181 is a promising biomarker, the distribution of this phospho-epitope of tau in the brain is unknown. Here, we tested whether plasma levels of tau phosphorylated at threonine 181, amyloid-β, neurofilament light and fibrillary acidic protein predict cognitive decline between ages 72 and 82 in 195 participants in the Lothian birth cohorts 1936 study of cognitive ageing. We further examined post-mortem brain samples from temporal cortex to determine the distribution of tau phosphorylated at threonine 181 in the brain. Several forms of tau phosphorylated at threonine 181 have been shown to contribute to synapse degeneration in Alzheimer's disease, which correlates closely with cognitive decline in this form of dementia, but to date, there have not been investigations of whether tau phosphorylated at threonine 181 is found in synapses in Alzheimer's disease or healthy ageing brain. It was also previously unclear whether tau phosphorylated at threonine 181 accumulated in dystrophic neurites around plaques, which could contribute to tau leakage to the periphery due to impaired membrane integrity in dystrophies. Brain homogenate and biochemically enriched synaptic fractions were examined with western blot to examine tau phosphorylated at threonine 181 levels between groups (n = 10-12 per group), and synaptic and astrocytic localization of tau phosphorylated at threonine 181 were examined using array tomography (n = 6-15 per group), and localization of tau phosphorylated at threonine 181 in plaque-associated dystrophic neurites with associated gliosis were examined with standard immunofluorescence (n = 8-9 per group). Elevated baseline plasma tau phosphorylated at threonine 181, neurofilament light and fibrillary acidic protein predicted steeper general cognitive decline during ageing. Further, increasing tau phosphorylated at threonine 181 over time predicted general cognitive decline in females only. Change in plasma tau phosphorylated at threonine 181 remained a significant predictor of g factor decline when taking into account Alzheimer's disease polygenic risk score, indicating that the increase of blood tau phosphorylated at threonine 181 in this cohort was not only due to incipient Alzheimer's disease. Tau phosphorylated at threonine 181 was observed in synapses and astrocytes in both healthy ageing and Alzheimer's disease brain. We observed that a significantly higher proportion of synapses contain tau phosphorylated at threonine 181 in Alzheimer's disease relative to aged controls. Aged controls with pre-morbid lifetime cognitive resilience had significantly more tau phosphorylated at threonine 181 in fibrillary acidic protein-positive astrocytes than those with pre-morbid lifetime cognitive decline. Further, tau phosphorylated at threonine 181 was found in dystrophic neurites around plaques and in some neurofibrillary tangles. The presence of tau phosphorylated at threonine 181 in plaque-associated dystrophies may be a source of leakage of tau out of neurons that eventually enters the blood. Together, these data indicate that plasma tau phosphorylated at threonine 181, neurofilament light and fibrillary acidic protein may be useful biomarkers of age-related cognitive decline, and that efficient clearance of tau phosphorylated at threonine 181 by astrocytes may promote cognitive resilience.
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Affiliation(s)
- Tyler S Saunders
- UK Dementia Research Institute and Centre for Discovery Brain Sciences at the University of Edinburgh, Edinburgh, EH8 9JZ, UK
- Edinburgh Dementia Prevention & Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Francesca E Pozzolo
- UK Dementia Research Institute and Centre for Discovery Brain Sciences at the University of Edinburgh, Edinburgh, EH8 9JZ, UK
| | - Amanda Heslegrave
- United Kingdom UK Dementia Research Institute at University College London, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Declan King
- UK Dementia Research Institute and Centre for Discovery Brain Sciences at the University of Edinburgh, Edinburgh, EH8 9JZ, UK
| | - Robert I McGeachan
- UK Dementia Research Institute and Centre for Discovery Brain Sciences at the University of Edinburgh, Edinburgh, EH8 9JZ, UK
| | - Maxwell P Spires-Jones
- UK Dementia Research Institute and Centre for Discovery Brain Sciences at the University of Edinburgh, Edinburgh, EH8 9JZ, UK
| | - Sarah E Harris
- Lothian Birth Cohort studies, Department of Psychology, University of Edinburgh, Edinburgh, EH8 9AD, UK
| | - Craig Ritchie
- Edinburgh Dementia Prevention & Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Graciela Muniz-Terrera
- Edinburgh Dementia Prevention & Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH4 2XU, UK
- Department of Social Medicine, Ohio University, Athens, Ohio 45701, USA
- Latin American Institute for Brain Health (BrainLat), Universidad Adolfo Ibanez, Santiago 3485, Chile
| | - Ian J Deary
- Lothian Birth Cohort studies, Department of Psychology, University of Edinburgh, Edinburgh, EH8 9AD, UK
| | - Simon R Cox
- Lothian Birth Cohort studies, Department of Psychology, University of Edinburgh, Edinburgh, EH8 9AD, UK
| | - Henrik Zetterberg
- United Kingdom UK Dementia Research Institute at University College London, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, S-431 80 Molndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, S-431 80 Molndal, Sweden
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
| | - Tara L Spires-Jones
- UK Dementia Research Institute and Centre for Discovery Brain Sciences at the University of Edinburgh, Edinburgh, EH8 9JZ, UK
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8
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O’Bryant SE, Petersen M, Hall JR, Large S, Johnson LA. Plasma Biomarkers of Alzheimer's Disease Are Associated with Physical Functioning Outcomes Among Cognitively Normal Adults in the Multiethnic HABS-HD Cohort. J Gerontol A Biol Sci Med Sci 2023; 78:9-15. [PMID: 35980599 PMCID: PMC9879752 DOI: 10.1093/gerona/glac169] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Indexed: 02/02/2023] Open
Abstract
In this study, we examined the link between plasma Alzheimer's disease (AD) biomarkers and physical functioning outcomes within a community-dwelling, multiethnic cohort. Data from 1 328 cognitively unimpaired participants (n = 659 Mexican American and n = 669 non-Hispanic White) from the ongoing Health & Aging Brain Study-Health Disparities (HABS-HD) cohort were examined. Plasma AD biomarkers (amyloid beta [Aβ]40, Aβ42, total tau [t-tau], and neurofilament light chain [NfL]) were assayed using the ultra-sensitive Simoa platform. Physical functioning measures were the Timed Up and Go (TUG) and the Short Physical Performance Battery (SPPB). Cross-sectional linear regression analyses revealed that plasma Aβ 40 (p < .001), Aβ 42 (p = .003), and NfL (p < .001) were each significantly associated with TUG time in seconds. Plasma Aβ 40 (p < .001), Aβ 42 (p < .001), t-tau (p = .002), and NfL (p < .001) were each significantly associated with SPPB Total Score. Additional analyses demonstrate that the link between plasma AD biomarkers and physical functioning outcomes were strongest among Mexican Americans. Plasma AD biomarkers are receiving a great deal of attention in the literature and are now available clinically including use in clinical trials. The examination of AD biomarkers and physical functioning may allow for the development of risk profiles, which could stratify a person's risk for neurodegenerative diseases, such as AD, based on plasma AD biomarkers, physical functioning, ethnicity, or a combination of these measures prior to the onset of cognitive impairment.
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Affiliation(s)
- Sid E O’Bryant
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, Texas, USA
- Department of Family Medicine, University of North Texas Health Science Center, Fort Worth, Texas, USA
| | - Melissa Petersen
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, Texas, USA
- Department of Family Medicine, University of North Texas Health Science Center, Fort Worth, Texas, USA
| | - James R Hall
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, Texas, USA
- Department of Family Medicine, University of North Texas Health Science Center, Fort Worth, Texas, USA
| | - Stephanie Large
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, Texas, USA
- Department of Pharmacology and Neuroscience, University of North Texas Health Science Center, Fort Worth, Texas, USA
| | - Leigh A Johnson
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, Texas, USA
- Department of Pharmacology and Neuroscience, University of North Texas Health Science Center, Fort Worth, Texas, USA
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9
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Beydoun MA, Noren Hooten N, Weiss J, Maldonado AI, Beydoun HA, Katzel LI, Davatzikos C, Gullapalli RP, Seliger SL, Erus G, Evans MK, Zonderman AB, Waldstein SR. Plasma neurofilament light as blood marker for poor brain white matter integrity among middle-aged urban adults. Neurobiol Aging 2023; 121:52-63. [PMID: 36371816 PMCID: PMC9733693 DOI: 10.1016/j.neurobiolaging.2022.10.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 10/05/2022] [Accepted: 10/10/2022] [Indexed: 11/06/2022]
Abstract
Plasma neurofilament light chain (NfL)'s link to dementia may be mediated through white matter integrity (WMI). In this study, we examined plasma NfL's relationships with diffusion tensor magnetic resonance imaging markers: global and cortical white matter fractional anisotropy (FA) and trace (TR). Plasma NfL measurements at 2 times (v1: 2004-2009 and v2: 2009-2013) and ancillary dMRI (vscan: 2011-2015) were considered (n = 163, mean time v1 to vscan = 5.4 years and v2 to vscan: 1.1 years). Multivariable-adjusted regression models, correcting for multiple-testing revealed that, overall, higher NfLv1 was associated with greater global TR (β ± SE: +0.0000560 ± 0.0000186, b = 0.27, p = 0.003, q = 0.012), left frontal WM TR (β ± SE: + 0.0000706 ± 0.0000201, b ± 0.30, p = 0.001, q = 0.0093) and right frontal WM TR (β ± SE: + 0.0000767 ± 0.000021, b ± 0.31, p < 0.001, q = 0.0093). These associations were mainly among males and White adults. Among African American adults only, NfLv2 was associated with greater left temporal lobe TR. "Tracking high" in NfL was associated with reduced left frontal FA (Model 2, body mass index-adjusted: β ± SE:-0.01084 ± 0.00408, p = 0.009). Plasma NfL is a promising biomarker predicting future brain white matter integrity (WMI) in middle-aged adults.
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Affiliation(s)
- May A Beydoun
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
| | - Nicole Noren Hooten
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Jordan Weiss
- Stanford Center on Longevity, Stanford University, Stanford, CA USA
| | - Ana I Maldonado
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA; Department of Psychology, University of Maryland, Catonsville, MD, USA
| | - Hind A Beydoun
- Department of Research Programs, Fort Belvoir Community Hospital, Fort Belvoir, VA, USA
| | - Leslie I Katzel
- Division of Gerontology, Geriatrics, and Palliative Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA; Division of Gerontology & Geriatric Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Christos Davatzikos
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Rao P Gullapalli
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Stephen L Seliger
- Division of Nephrology, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Guray Erus
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Michele K Evans
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Alan B Zonderman
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Shari R Waldstein
- Department of Psychology, University of Maryland, Catonsville, MD, USA; Division of Gerontology, Geriatrics, and Palliative Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA; Division of Gerontology & Geriatric Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
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10
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Wisniewski T, Masurkar AV. Gait dysfunction in Alzheimer disease. Handb Clin Neurol 2023; 196:267-274. [PMID: 37620073 DOI: 10.1016/b978-0-323-98817-9.00013-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/26/2023]
Abstract
Alzheimer's disease (AD) is the most common cause of age-associated dementia and will exponentially rise in prevalence in the coming decades, supporting the parallel development of the early stage detection and disease-modifying strategies. While primarily considered as a cognitive disorder, AD also features motor symptoms, primarily gait dysfunction. Such gait abnormalities can be phenotyped across classic clinical syndromes as well as by quantitative kinematic assessments to address subtle dysfunction at preclinical and prodromal stages. As such, certain measures of gait can predict the future cognitive and functional decline. Moreover, cross-sectional and longitudinal studies have associated gait abnormalities with imaging, biofluid, and genetic markers of AD across all stages. This suggests that gait assessment is an important tool in the clinical assessment of patients across the AD spectrum, especially to help identify at-risk individuals.
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Affiliation(s)
- Thomas Wisniewski
- Department of Neurology, NYU School of Medicine, New York, NY, United States; Department of Pathology, NYU School of Medicine, New York, NY, United States; Department of Psychiatry, NYU School of Medicine, New York, NY, United States; Division of Cognitive Neurology, Center for Cognitive Neurology, NYU School of Medicine, New York, NY, United States.
| | - Arjun V Masurkar
- Department of Neurology, NYU School of Medicine, New York, NY, United States; Division of Cognitive Neurology, Center for Cognitive Neurology, NYU School of Medicine, New York, NY, United States
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11
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Giudici KV, Guyonnet S, Morley JE, Nguyen AD, Aggarwal G, Parini A, Li Y, Bateman RJ, Vellas B, de Souto Barreto P. Interactions Between Weight Loss and Plasma Neurodegenerative Markers for Determining Cognitive Decline Among Community-Dwelling Older Adults. J Gerontol A Biol Sci Med Sci 2022; 77:1159-1168. [PMID: 35034116 PMCID: PMC9159663 DOI: 10.1093/gerona/glac015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Indexed: 01/18/2023] Open
Abstract
This study aimed to investigate the interaction between weight loss (WL) and plasma amyloid-β 42/40 (Aβ 42/40), neurofilament light chain (NfL), progranulin, and their association with cognitive decline over time among older adults. This 5-year observational approach included 470 participants from the Multidomain Alzheimer Preventive Trial, mean age 76.8 years (SD = 4.5), 59.4% women. WL was defined as ≥5% decrease over the first year. Biomarkers were measured at 12 months. Cognitive function was assessed yearly from 12 months onward by Mini-Mental State Examination (MMSE); Clinical Dementia Rating sum of boxes (CDR-SB); a composite score based on Category Naming Test; Digit Symbol Substitution Test; 10 MMSE orientation items (MMSEO) and free and total recall of the Free and Cued Selective Reminding test; and these tests individually. Twenty-seven participants (5.7%) presented WL. In adjusted analyses, combined WL + lower Aβ 42/40 (≤0.103, lowest quartile) was related with more pronounced 4-year cognitive decline according to CDR-SB (p < .0001) and MMSEO (p = .021), compared with non-WL + higher Aβ 42/40. WL + higher NfL (>94.55 pg/mL, highest quartile) or progranulin (>38.4 ng/mL, 3 higher quartiles) were related with higher cognitive decline according to CDR-SB, MMSE, MMSEO, and composite score (all p < .03), compared with non-WL + lower NfL or higher progranulin. Regrouping progranulin quartiles (Q1-Q3 vs Q4) revealed higher cognitive decline among the WL + lower progranulin group compared with non-WL + lower progranulin. In conclusion, 1-year WL was associated with subsequent higher 4-year cognitive decline among older adults presenting low Aβ 42/40 or high NfL. Future studies combining plasma biomarker assessments and body weight surveillance may be useful for identifying people at risk of cognitive impairment. Clinical trial number: NCT00672685.
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Affiliation(s)
- Kelly Virecoulon Giudici
- Address correspondence to: Kelly Virecoulon Giudici, PhD, Gérontopôle of Toulouse, Institute of Aging, Toulouse University Hospital, Université Toulouse III Paul Sabatier, 37 Allée Jules Guesde, 31000 Toulouse, France. E-mail:
| | - Sophie Guyonnet
- Gerontopole of Toulouse, Institute of Ageing, Toulouse University Hospital (CHU Toulouse), Toulouse, France,CERPOP UMR1295, University of Toulouse III, INSERM, UPS, Toulouse, France
| | - John E Morley
- Division of Geriatric Medicine, School of Medicine, Saint Louis University, St. Louis, Missouri, USA
| | - Andrew D Nguyen
- Division of Geriatric Medicine, School of Medicine, Saint Louis University, St. Louis, Missouri, USA
| | - Geetika Aggarwal
- Division of Geriatric Medicine, School of Medicine, Saint Louis University, St. Louis, Missouri, USA
| | - Angelo Parini
- Institute of Metabolic and Cardiovascular Diseases (I2MC), INSERM UMR 1048, University of Toulouse III Paul Sabatier, Toulouse, France
| | - Yan Li
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA,Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Randall J Bateman
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Bruno Vellas
- Gerontopole of Toulouse, Institute of Ageing, Toulouse University Hospital (CHU Toulouse), Toulouse, France,CERPOP UMR1295, University of Toulouse III, INSERM, UPS, Toulouse, France
| | - Philipe de Souto Barreto
- Gerontopole of Toulouse, Institute of Ageing, Toulouse University Hospital (CHU Toulouse), Toulouse, France,CERPOP UMR1295, University of Toulouse III, INSERM, UPS, Toulouse, France
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12
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Sugimoto T, Arai H, Sakurai T. An update on cognitive frailty: Its definition, impact, associated factors and underlying mechanisms, and interventions. Geriatr Gerontol Int 2021; 22:99-109. [PMID: 34882939 DOI: 10.1111/ggi.14322] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Revised: 11/02/2021] [Accepted: 11/17/2021] [Indexed: 01/10/2023]
Abstract
Since the concept and operational definition of "cognitive frailty" (simultaneous presence of physical frailty and cognitive impairment without concurrent dementia) were proposed by the International Academy of Nutrition and Aging and the International Association of Gerontology and Geriatrics, cognitive frailty has been widely investigated. This review is intended to address the operational definition of cognitive frailty, its consequences, contributing factors and underlying mechanisms, as well as interventions for cognitive frailty. Although the definitions and assessments of cognitive frailty vary among researchers, older adults with both physical frailty and cognitive impairment are shown to be at higher risk of adverse health outcomes, including death, disability, hospitalization and incident dementia, than those with either condition alone. While the underlying mechanisms of cognitive frailty are still unclear, factors shown to be associated with cognitive frailty include sociodemographic factors, social status, nutritional status, geriatric syndrome, physical and cognitive activities, functional status, comorbidities, medication use, gut-derived metabolites and structural changes in the brain. Accumulating evidence indicates the need for comprehensive geriatric assessment that helps identify the possible causes of cognitive frailty and develop a multimodal individualized intervention to prevent adverse health outcomes for older adults with cognitive frailty. Further studies are required to clarify the mechanisms through which physical frailty and cognitive impairment interact to accelerate adverse health outcomes, particularly cognitive outcomes. In addition, for older adults with cognitive frailty, an effective flow diagram from primary screening through comprehensive assessment to multidimensional intervention needs to be developed for future implementation in both clinical and community settings. Geriatr Gerontol Int 2021; ••: ••-••.
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Affiliation(s)
- Taiki Sugimoto
- Department of Prevention and Care Science, Research Institute, National Center for Geriatrics and Gerontology, Obu, Japan.,Center for Comprehensive Care and Research on Memory Disorders, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Hidenori Arai
- National Center for Geriatrics and Gerontology, Obu, Japan
| | - Takashi Sakurai
- Department of Prevention and Care Science, Research Institute, National Center for Geriatrics and Gerontology, Obu, Japan.,Center for Comprehensive Care and Research on Memory Disorders, National Center for Geriatrics and Gerontology, Obu, Japan.,Department of Cognition and Behavior Science, Nagoya University Graduate School of Medicine, Nagoya, Japan
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13
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Beydoun MA, Noren Hooten N, Maldonado AI, Beydoun HA, Weiss J, Evans MK, Zonderman AB. BMI and Allostatic Load Are Directly Associated with Longitudinal Increase in Plasma Neurofilament Light among Urban Middle-Aged Adults. J Nutr 2021; 152:535-549. [PMID: 34718678 PMCID: PMC8826916 DOI: 10.1093/jn/nxab381] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 09/13/2021] [Accepted: 10/26/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Plasma neurofilament light chain (NfL) is a novel biomarker for age-related neurodegenerative disease. We tested whether NfL may be linked to cardiometabolic risk factors, including BMI, the allostatic load (AL) total score (ALtotal), and related AL continuous components (ALcomp). We also tested whether these relations may differ by sex or by race. METHODS We used data from the HANDLS (Healthy Aging in Neighborhoods of Diversity across the Life Span) study [n = 608, age at visit 1 (v1: 2004-2009): 30-66 y, 42% male, 58% African American] to investigate associations of initial cardiometabolic risk factors and time-dependent plasma NfL concentrations over 3 visits (2004-2017; mean ± SD follow-up time: 7.72 ± 1.28 y), with outcomes being NfLv1 and annualized change in NfL (δNfL). We used mixed-effects linear regression and structural equations modeling (SM). RESULTS BMI was associated with lower initial (γ01 = -0.014 ± 0.002, P < 0.001) but faster increase in plasma NfL over time (γ11 = +0.0012 ± 0.0003, P < 0.001), a pattern replicated for ALtotal. High-sensitivity C-reactive protein (hsCRP), serum total cholesterol, and resting heart rate at v1 were linked with faster plasma NfL increase over time, overall, while being uncorrelated with NfLv1 (e.g., hsCRP × Time, full model: γ11 = +0.004 ± 0.002, P = 0.015). In SM analyses, BMI's association with δNfL was significantly mediated through ALtotal among women [total effect (TE) = +0.0014 ± 0.00038, P < 0.001; indirect effect = +0.00042 ± 0.00019, P = 0.025; mediation proportion = 30%], with only a direct effect (DE) detected among African American adults (TE = +0.0011 ± 0.0004, P = 0.015; DE = +0.0010 ± 0.00048, P = 0.034). The positive associations between ALtotal/BMI and δNfL were mediated through increased glycated hemoglobin (HbA1c) concentrations, overall. CONCLUSIONS Cardiometabolic risk factors, particularly elevated HbA1c, should be screened and targeted for neurodegenerative disease, pending comparable longitudinal studies. Other studies examining the clinical utility of plasma NfL as a neurodegeneration marker should account for confounding effects of BMI and AL.
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Affiliation(s)
| | - Nicole Noren Hooten
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging/NIH/Intramural Research Program, Baltimore, MD, USA
| | - Ana I Maldonado
- Department of Psychology, University of Maryland, Baltimore County, Catonsville, MD, USA
| | - Hind A Beydoun
- Department of Research Programs, Fort Belvoir Community Hospital, Fort Belvoir, VA, USA
| | - Jordan Weiss
- Department of Demography, University of California, Berkeley, Berkeley, CA, USA
| | - Michele K Evans
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging/NIH/Intramural Research Program, Baltimore, MD, USA
| | - Alan B Zonderman
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging/NIH/Intramural Research Program, Baltimore, MD, USA
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Yuan A, Nixon RA. Neurofilament Proteins as Biomarkers to Monitor Neurological Diseases and the Efficacy of Therapies. Front Neurosci 2021; 15:689938. [PMID: 34646114 PMCID: PMC8503617 DOI: 10.3389/fnins.2021.689938] [Citation(s) in RCA: 86] [Impact Index Per Article: 28.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 09/02/2021] [Indexed: 01/01/2023] Open
Abstract
Biomarkers of neurodegeneration and neuronal injury have the potential to improve diagnostic accuracy, disease monitoring, prognosis, and measure treatment efficacy. Neurofilament proteins (NfPs) are well suited as biomarkers in these contexts because they are major neuron-specific components that maintain structural integrity and are sensitive to neurodegeneration and neuronal injury across a wide range of neurologic diseases. Low levels of NfPs are constantly released from neurons into the extracellular space and ultimately reach the cerebrospinal fluid (CSF) and blood under physiological conditions throughout normal brain development, maturation, and aging. NfP levels in CSF and blood rise above normal in response to neuronal injury and neurodegeneration independently of cause. NfPs in CSF measured by lumbar puncture are about 40-fold more concentrated than in blood in healthy individuals. New ultra-sensitive methods now allow minimally invasive measurement of these low levels of NfPs in serum or plasma to track disease onset and progression in neurological disorders or nervous system injury and assess responses to therapeutic interventions. Any of the five Nf subunits - neurofilament light chain (NfL), neurofilament medium chain (NfM), neurofilament heavy chain (NfH), alpha-internexin (INA) and peripherin (PRPH) may be altered in a given neuropathological condition. In familial and sporadic Alzheimer's disease (AD), plasma NfL levels may rise as early as 22 years before clinical onset in familial AD and 10 years before sporadic AD. The major determinants of elevated levels of NfPs and degradation fragments in CSF and blood are the magnitude of damaged or degenerating axons of fiber tracks, the affected axon caliber sizes and the rate of release of NfP and fragments at different stages of a given neurological disease or condition directly or indirectly affecting central nervous system (CNS) and/or peripheral nervous system (PNS). NfPs are rapidly emerging as transformative blood biomarkers in neurology providing novel insights into a wide range of neurological diseases and advancing clinical trials. Here we summarize the current understanding of intracellular NfP physiology, pathophysiology and extracellular kinetics of NfPs in biofluids and review the value and limitations of NfPs and degradation fragments as biomarkers of neurodegeneration and neuronal injury.
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Affiliation(s)
- Aidong Yuan
- Center for Dementia Research, Nathan Kline Institute, Orangeburg, NY, United States
- Department of Psychiatry, NYU Neuroscience Institute, New York, NY, United States
| | - Ralph A. Nixon
- Center for Dementia Research, Nathan Kline Institute, Orangeburg, NY, United States
- Department of Psychiatry, NYU Neuroscience Institute, New York, NY, United States
- Department of Cell Biology, New York University Grossman School of Medicine, (NYU), Neuroscience Institute, New York, NY, United States
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Beydoun MA, Noren Hooten N, Beydoun HA, Maldonado AI, Weiss J, Evans MK, Zonderman AB. Plasma neurofilament light as a potential biomarker for cognitive decline in a longitudinal study of middle-aged urban adults. Transl Psychiatry 2021; 11:436. [PMID: 34420032 PMCID: PMC8380245 DOI: 10.1038/s41398-021-01563-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 07/28/2021] [Accepted: 08/12/2021] [Indexed: 12/13/2022] Open
Abstract
Plasma neurofilament light (NfL) is a marker for neurodegenerative diseases. Few studies have examined the association of NfL with middle-aged changes in cognitive performance, and no studies have examined differential NfL effects by race. Using data from the Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS) study (n = 625, Agev1: 30-66 y, 41.6% male, 56.3% African American, 27.8% below poverty), we investigated the associations of initial NfL levels and annualized change with cognitive performance over time in global mental status, verbal and visual memory, fluency, attention, and executive function. We used ordinary least squares and mixed-effects regressions stratified by race, while exploring differential associations by age group, sex, and poverty status. Over a mean follow-up of 4.3 years, we found initial NfL level was associated with a faster decline on normalized mental status scores in Whites only and in those >50 years old. Annualized increase in NfL was associated with a greater decline in verbal fluency in men. In other exploratory analyses, annualized increase in NfL was associated with a slower decline in verbal memory among individuals living above poverty; in the older group (>50 years), first-visit NfL was linked with better performance at baseline in global mental status and verbal memory. In summary, first-visit NfL was primarily associated with the global mental status decline among Whites, while exhibiting inconsistent relationships in some exploratory analyses. Plasma NfL levels can be detected and quantified in non-demented middle-aged adults and changes can be analyzed over time. More longitudinal studies are needed to address the clinical utility of this biomarker for early cognitive defects.
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Affiliation(s)
- May A. Beydoun
- grid.419475.a0000 0000 9372 4913Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD USA
| | - Nicole Noren Hooten
- grid.419475.a0000 0000 9372 4913Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD USA
| | - Hind A. Beydoun
- grid.413661.70000 0004 0595 1323Department of Research Programs, Fort Belvoir Community Hospital, Fort Belvoir, VA USA
| | - Ana I. Maldonado
- grid.419475.a0000 0000 9372 4913Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD USA ,grid.266673.00000 0001 2177 1144Department of Psychology, University of Maryland, Baltimore County, Catonsville, MD USA
| | - Jordan Weiss
- grid.47840.3f0000 0001 2181 7878Department of Demography, University of California, Berkeley, Berkeley, CA USA
| | - Michele K. Evans
- grid.419475.a0000 0000 9372 4913Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD USA
| | - Alan B. Zonderman
- grid.419475.a0000 0000 9372 4913Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD USA
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Clark C, Lewczuk P, Kornhuber J, Richiardi J, Maréchal B, Karikari TK, Blennow K, Zetterberg H, Popp J. Plasma neurofilament light and phosphorylated tau 181 as biomarkers of Alzheimer's disease pathology and clinical disease progression. Alzheimers Res Ther 2021; 13:65. [PMID: 33766131 PMCID: PMC7995778 DOI: 10.1186/s13195-021-00805-8] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 03/09/2021] [Indexed: 01/01/2023]
Abstract
Background To assess the performance of plasma neurofilament light (NfL) and phosphorylated tau 181 (p-tau181) to inform about cerebral Alzheimer’s disease (AD) pathology and predict clinical progression in a memory clinic setting. Methods Plasma NfL and p-tau181, along with established cerebrospinal fluid (CSF) biomarkers of AD pathology, were measured in participants with normal cognition (CN) and memory clinic patients with cognitive impairment (mild cognitive impairment and dementia, CI). Clinical and neuropsychological assessments were performed at inclusion and follow-up visits at 18 and 36 months. Multivariate analysis assessed associations of plasma NfL and p-tau181 levels with AD, single CSF biomarkers, hippocampal volume, and clinical measures of disease progression. Results Plasma NfL levels were higher in CN participants with an AD CSF profile (defined by a CSF p-tau181/Aβ1–42 > 0.0779) as compared with CN non-AD, while p-tau181 plasma levels were higher in CI patients with AD. Plasma NfL levels correlated with CSF tau and p-tau181 in CN, and with CSF tau in CI patients. Plasma p-tau181 correlated with CSF p-tau181 in CN and with CSF tau, p-tau181, Aβ1–42, and Aβ1–42/Aβ1–40 in CI participants. Compared with a reference model, adding plasma p-tau181 improved the prediction of AD in CI patients while adding NfL did not. Adding p-tau181, but not NfL levels, to a reference model improved prediction of cognitive decline in CI participants. Conclusion Plasma NfL indicates neurodegeneration while plasma p-tau181 levels can serve as a biomarker of cerebral AD pathology and cognitive decline. Their predictive performance depends on the presence of cognitive impairment.
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Affiliation(s)
- Christopher Clark
- Institute for Regenerative Medicine, University of Zürich, Zürich, Switzerland.
| | - Piotr Lewczuk
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen, and Friedrich - Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.,Department of Neurodegeneration Diagnostics, Medical University of Białystok, Białystok, Poland
| | - Johannes Kornhuber
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen, and Friedrich - Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Jonas Richiardi
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Bénédicte Maréchal
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,Advanced Clinical Imaging Technology group, Siemens Healthcare AG, Lausanne, Switzerland.,LTS5, École Polytechnique FÉdÉrale de Lausanne (EPFL), Lausanne, Switzerland
| | - Thomas K Karikari
- 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
| | - 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.,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
| | - Julius Popp
- Old age Psychiatry, Department of Psychiatry, University Hospital of Lausanne, Lausanne, Switzerland.,Department of Geriatric Psychiatry, University Hospital of Psychiatry Zürich and University of Zürich, Zürich, Switzerland
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