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Régy M, Dugravot A, Sabia S, Helmer C, Tzourio C, Hanseeuw B, Singh-Manoux A, Dumurgier J. The role of dementia in the association between APOE4 and all-cause mortality: pooled analyses of two population-based cohort studies. THE LANCET. HEALTHY LONGEVITY 2024; 5:e422-e430. [PMID: 38824957 DOI: 10.1016/s2666-7568(24)00066-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 04/09/2024] [Accepted: 04/15/2024] [Indexed: 06/04/2024] Open
Abstract
BACKGROUND The ε4 allele of the apolipoprotein E gene (APOE4) plays a role in neurodegeneration and in cardiovascular disease, but findings on its association with mortality are inconsistent. We aimed to examine the association between APOE4 and mortality, and the role of dementia in this association. METHODS In this pooled analysis, data on White participants aged 45-90 years who underwent APOE genotyping were drawn from two population-based cohorts: the Whitehall II study (UK), which began in 1985 and is ongoing, and the Three-City study (France), initiated in 1999 and ended in 2012. In the Three-City study, vital status was ascertained through linkage to the national registry of death Institut National de la Statistique des Études économiques, and dementia was ascertained via a neuropsychological evaluation and validation of diagnoses by an independent committee of neurologists and geriatricians. In the Whitehall II study, vital status was ascertained through linkage to the UK national mortality register, and dementia cases were ascertained by linkage to three national registers. Participants with prevalent dementia at baseline and participants missing an APOE genotype were excluded from analyses. Cox regression proportional hazard models were used to examine the association of APOE4 with all-cause, cardiovascular, and cancer mortality. The role of dementia in the association between APOE4 status and mortality was examined by excluding participants who developed dementia during follow-up from the analyses. An illness-death model was then used to examine the role of incident dementia in these associations. FINDINGS 14 091 participants (8492 from the Three-City study and 5599 from the Whitehall II study; 6668 [47%] of participants were women and 7423 [53%] were men), with a median follow-up of 15·4 years (IQR 10·6-21·2), were included in the analyses. Of these participants, APOE4 carriers (3264 [23%] of the cohort carried at least one ε4 allele) had a higher risk of all-cause mortality compared with non-carriers, with hazard ratios (HR) of 1·16 (95% CI 1·07-1·26) for heterozygotes and 1·59 (1·24-2·06) for homozygotes. Compared with APOE3 homozygotes, higher cardiovascular mortality was observed in APOE4 carriers, with a HR of 1·23 (1·01-1·50) for heterozygotes, and no association was found between APOE4 and cancer mortality. Excluding cases of incident dementia over the follow-up resulted in attenuated associations with mortality in homozygotes but not in heterozygotes. The illness-death model indicated that the higher mortality risk in APOE4 carriers was not solely attributable to dementia. INTERPRETATION We found a robust association between APOE4 and all-cause and cardiovascular mortality but not cancer mortality. Dementia explained a significant proportion of the association with all-cause mortality for APOE4 homozygotes, while non-dementia factors, such as cardiovascular disease mortality, are likely to play a role in shaping mortality outcomes in APOE4 heterozygotes. FUNDING National Institutes of Health. TRANSLATION For the French translation of the abstract see Supplementary Materials section.
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Affiliation(s)
- Mélina Régy
- Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France
| | - Aline Dugravot
- Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France
| | - Séverine Sabia
- Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France; Faculty of Brain Sciences, University College London, London, UK.
| | - Catherine Helmer
- University of Bordeaux Inserm, Bordeaux Population Health, U1219 Bordeaux, France
| | - Christophe Tzourio
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, U1219, CHU Bordeaux, France
| | - Bernard Hanseeuw
- Université Catholique de Louvain, Cliniques Universitaires Saint-Luc, Brussels, Belgium
| | - Archana Singh-Manoux
- Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France; Faculty of Brain Sciences, University College London, London, UK
| | - Julien Dumurgier
- Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France
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Hojjati SH, Babajani-Feremi A. Seeing beyond the symptoms: biomarkers and brain regions linked to cognitive decline in Alzheimer's disease. Front Aging Neurosci 2024; 16:1356656. [PMID: 38813532 PMCID: PMC11135344 DOI: 10.3389/fnagi.2024.1356656] [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: 12/15/2023] [Accepted: 04/08/2024] [Indexed: 05/31/2024] Open
Abstract
Objective Early Alzheimer's disease (AD) diagnosis remains challenging, necessitating specific biomarkers for timely detection. This study aimed to identify such biomarkers and explore their associations with cognitive decline. Methods A cohort of 1759 individuals across cognitive aging stages, including healthy controls (HC), mild cognitive impairment (MCI), and AD, was examined. Utilizing nine biomarkers from structural MRI (sMRI), diffusion tensor imaging (DTI), and positron emission tomography (PET), predictions were made for Mini-Mental State Examination (MMSE), Clinical Dementia Rating Scale Sum of Boxes (CDRSB), and Alzheimer's Disease Assessment Scale-Cognitive Subscale (ADAS). Biomarkers included four sMRI (e.g., average thickness [ATH]), four DTI (e.g., mean diffusivity [MD]), and one PET Amyloid-β (Aβ) measure. Ensemble regression tree (ERT) technique with bagging and random forest approaches were applied in four groups (HC/MCI, HC/AD, MCI/AD, and HC/MCI/AD). Results Aβ emerged as a robust predictor of cognitive scores, particularly in late-stage AD. Volumetric measures, notably ATH, consistently correlated with cognitive scores across early and late disease stages. Additionally, ADAS demonstrated links to various neuroimaging biomarkers in all subject groups, highlighting its efficacy in monitoring brain changes throughout disease progression. ERT identified key brain regions associated with cognitive scores, such as the right transverse temporal region for Aβ, left and right entorhinal cortex, left inferior temporal gyrus, and left middle temporal gyrus for ATH, and the left uncinate fasciculus for MD. Conclusion This study underscores the importance of an interdisciplinary approach in understanding AD mechanisms, offering potential contributions to early biomarker development.
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Affiliation(s)
- Seyed Hani Hojjati
- Department of Radiology, Weill Cornell Medicine, Brain Health Imaging Institute, New York, NY, United States
| | - Abbas Babajani-Feremi
- Department of Neurology, University of Florida, Gainesville, FL, United States
- Magnetoencephalography (MEG) Lab, The Norman Fixel Institute of Neurological Diseases, University of Florida Health, Gainesville, FL, United States
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Phillips JS, Robinson JL, Cousins KAQ, Wolk DA, Lee EB, McMillan CT, Trojanowski JQ, Grossman M, Irwin DJ. Polypathologic Associations with Gray Matter Atrophy in Neurodegenerative Disease. J Neurosci 2024; 44:e0808232023. [PMID: 38050082 PMCID: PMC10860605 DOI: 10.1523/jneurosci.0808-23.2023] [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: 05/08/2023] [Revised: 10/01/2023] [Accepted: 10/26/2023] [Indexed: 12/06/2023] Open
Abstract
Mixed pathologies are common in neurodegenerative disease; however, antemortem imaging rarely captures copathologic effects on brain atrophy due to a lack of validated biomarkers for non-Alzheimer's pathologies. We leveraged a dataset comprising antemortem MRI and postmortem histopathology to assess polypathologic associations with atrophy in a clinically heterogeneous sample of 125 human dementia patients (41 female, 84 male) with T1-weighted MRI ≤ 5 years before death and postmortem ordinal ratings of amyloid-[Formula: see text], tau, TDP-43, and [Formula: see text]-synuclein. Regional volumes were related to pathology using linear mixed-effects models; approximately 25% of data were held out for testing. We contrasted a polypathologic model comprising independent factors for each proteinopathy with two alternatives: a model that attributed atrophy entirely to the protein(s) associated with the patient's primary diagnosis and a protein-agnostic model based on the sum of ordinal scores for all pathology types. Model fits were evaluated using log-likelihood and correlations between observed and fitted volume scores. Additionally, we performed exploratory analyses relating atrophy to gliosis, neuronal loss, and angiopathy. The polypathologic model provided superior fits in the training and testing datasets. Tau, TDP-43, and [Formula: see text]-synuclein burden were inversely associated with regional volumes, but amyloid-[Formula: see text] was not. Gliosis and neuronal loss explained residual variance in and mediated the effects of tau, TDP-43, and [Formula: see text]-synuclein on atrophy. Regional brain atrophy reflects not only the primary molecular pathology but also co-occurring proteinopathies; inflammatory immune responses may independently contribute to degeneration. Our findings underscore the importance of antemortem biomarkers for detecting mixed pathology.
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Affiliation(s)
- Jeffrey S Phillips
- Departments of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - John L Robinson
- Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Katheryn A Q Cousins
- Departments of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - David A Wolk
- Departments of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Edward B Lee
- Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Corey T McMillan
- Departments of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - John Q Trojanowski
- Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Murray Grossman
- Departments of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - David J Irwin
- Departments of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania 19104
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Hani Hojjati S, Butler TA, Chiang GC, Habeck C, RoyChoudhury A, Feiz F, Shteingart J, Nayak S, Ozoria S, Fernández A, Stern Y, Luchsinger JA, Devanand DP, Razlighi QR. Distinct and joint effects of low and high levels of Aβ and tau deposition on cortical thickness. Neuroimage Clin 2023; 38:103409. [PMID: 37104927 PMCID: PMC10165160 DOI: 10.1016/j.nicl.2023.103409] [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: 01/31/2023] [Revised: 04/11/2023] [Accepted: 04/14/2023] [Indexed: 04/29/2023]
Abstract
Alzheimer's disease (AD) is defined by the presence of Amyloid-β (Aβ),tau, and neurodegeneration (ATN framework) in the human cerebral cortex. Yet, prior studies have suggested that Aβ deposition can be associated with both cortical thinning and thickening. These contradictory results are attributed to small sample sizes, the presence versus absence of tau, and limited detectability in the earliest phase of protein deposition, which may begin in young adulthood and cannot be captured in studies enrolling only older subjects. In this study, we aimed to find the distinct and joint effects of Aβ andtau on neurodegeneration during the progression from normal to abnormal stages of pathologies that remain elusive. We used18F-MK6240 and 18F-Florbetaben/18F-Florbetapir positron emission tomography (PET) and magnetic resonance imaging (MRI) to quantify tau, Aβ, and cortical thickness in 590 participants ranging in age from 20 to 90. We performed multiple regression analyses to assess the distinct and joint effects of Aβ and tau on cortical thickness using 590 healthy control (HC) and mild cognitive impairment (MCI) participants (141 young, 394 HC elderlies, 52 MCI). We showed thatin participants with normal levels of global Aβdeposition, Aβ uptakewassignificantly associated with increasedcortical thickness regardless of tau (e.g., left entorhinal cortex with t > 3.241, p < 0.0013). The relationship between tau deposition and neurodegeneration was more complex: in participants with abnormal levels of global tau, tau uptake was associated with cortical thinning in several regions of the brain (e.g., left entorhinal with t < -2.80, p < 0.0096 and left insula with t-value < -4.284, p < 0.0001), as reported on prior neuroimaging and neuropathological studies. Surprisingly, in participants with normal levels of global tau, tau was found to be associated with cortical thickening. Moreover, in participants with abnormal levels of global Aβandtau, theresonancebetween them, defined as their correlation throughout the cortex, wasassociated strongly with cortical thinning even when controlling for a direct linear effect. We confirm prior findings of an association between Aβ deposition and cortical thickening and suggest this may also be the case in the earliest stages of deposition in normal aging. We also illustrate that resonance between high levels of Aβ and tau uptake is strongly associated with cortical thinning, emphasizing the effects of Aβ/tau synergy inAD pathogenesis.
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Affiliation(s)
- Seyed Hani Hojjati
- Quantitative Neuroimaging Laboratory, Brain Health Imaging Institute, Department of Radiology, Weill Cornell Medicine, New York, NY, United States.
| | - Tracy A Butler
- Brain Health Imaging Institute, Department of Radiology, Weill Cornell Medicine, New York, NY, United States
| | - Gloria C Chiang
- Brain Health Imaging Institute, Department of Radiology, Weill Cornell Medicine, New York, NY, United States
| | - Christian Habeck
- Department of Neurology and the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, United States
| | - Arindam RoyChoudhury
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, United States
| | - Farnia Feiz
- Quantitative Neuroimaging Laboratory, Brain Health Imaging Institute, Department of Radiology, Weill Cornell Medicine, New York, NY, United States
| | - Jacob Shteingart
- Quantitative Neuroimaging Laboratory, Brain Health Imaging Institute, Department of Radiology, Weill Cornell Medicine, New York, NY, United States
| | - Siddharth Nayak
- Quantitative Neuroimaging Laboratory, Brain Health Imaging Institute, Department of Radiology, Weill Cornell Medicine, New York, NY, United States
| | - Sindy Ozoria
- Quantitative Neuroimaging Laboratory, Brain Health Imaging Institute, Department of Radiology, Weill Cornell Medicine, New York, NY, United States
| | - Antonio Fernández
- Quantitative Neuroimaging Laboratory, Brain Health Imaging Institute, Department of Radiology, Weill Cornell Medicine, New York, NY, United States
| | - Yaakov Stern
- Departments of Neurology, Psychiatry, GH Sergievsky Center, the Taub Institute for the Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, United States
| | - José A Luchsinger
- Departments of Medicine and Epidemiology, Columbia University Irving Medical Center, New York, NY, United States
| | - Davangere P Devanand
- Division of Geriatric Psychiatry, New York State Psychiatric Institute, Columbia University Irving Medical Center, New York, NY, United States; Department of Neurology, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, United States; Department of Psychiatry, New York State Psychiatric Institute, Columbia University Irving Medical Center, New York, NY, United States
| | - Qolamreza R Razlighi
- Quantitative Neuroimaging Laboratory, Brain Health Imaging Institute, Department of Radiology, Weill Cornell Medicine, New York, NY, United States
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Li TR, Yao YX, Jiang XY, Dong QY, Yu XF, Wang T, Cai YN, Han Y. β-Amyloid in blood neuronal-derived extracellular vesicles is elevated in cognitively normal adults at risk of Alzheimer's disease and predicts cerebral amyloidosis. Alzheimers Res Ther 2022; 14:66. [PMID: 35550625 PMCID: PMC9097146 DOI: 10.1186/s13195-022-01010-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Accepted: 04/27/2022] [Indexed: 02/08/2023]
Abstract
Background Blood biomarkers that can be used for preclinical Alzheimer’s disease (AD) diagnosis would enable trial enrollment at a time when the disease is potentially reversible. Here, we investigated plasma neuronal-derived extracellular vesicle (nEV) cargo in patients along the Alzheimer’s continuum, focusing on cognitively normal controls (NCs) with high brain β-amyloid (Aβ) loads (Aβ+). Methods The study was based on the Sino Longitudinal Study on Cognitive Decline project. We enrolled 246 participants, including 156 NCs, 45 amnestic mild cognitive impairment (aMCI) patients, and 45 AD dementia (ADD) patients. Brain Aβ loads were determined using positron emission tomography. NCs were classified into 84 Aβ− NCs and 72 Aβ+ NCs. Baseline plasma nEVs were isolated by immunoprecipitation with an anti-CD171 antibody. After verification, their cargos, including Aβ, tau phosphorylated at threonine 181, and neurofilament light, were quantified using a single-molecule array. Concentrations of these cargos were compared among the groups, and their receiver operating characteristic (ROC) curves were constructed. A subset of participants underwent follow-up cognitive assessment and magnetic resonance imaging. The relationships of nEV cargo levels with amyloid deposition, longitudinal changes in cognition, and brain regional volume were explored using correlation analysis. Additionally, 458 subjects in the project had previously undergone plasma Aβ quantification. Results Only nEV Aβ was included in the subsequent analysis. We focused on Aβ42 in the current study. After normalization of nEVs, the levels of Aβ42 were found to increase gradually across the cognitive continuum, with the lowest in the Aβ− NC group, an increase in the Aβ+ NC group, a further increase in the aMCI group, and the highest in the ADD group, contributing to their diagnoses (Aβ− NCs vs. Aβ+ NCs, area under the ROC curve values of 0.663; vs. aMCI, 0.857; vs. ADD, 0.957). Furthermore, nEV Aβ42 was significantly correlated with amyloid deposition, as well as longitudinal changes in cognition and entorhinal volume. There were no differences in plasma Aβ levels among NCs, aMCI, and ADD individuals. Conclusions Our findings suggest the potential use of plasma nEV Aβ42 levels in diagnosing AD-induced cognitive impairment and Aβ+ NCs. This biomarker reflects cortical amyloid deposition and predicts cognitive decline and entorhinal atrophy. Supplementary Information The online version contains supplementary material available at 10.1186/s13195-022-01010-x.
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Affiliation(s)
- Tao-Ran Li
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China
| | - Yun-Xia Yao
- Department of Neurobiology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China
| | - Xue-Yan Jiang
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China.,School of Biomedical Engineering, Hainan University, Haikou, 570228, China
| | - Qiu-Yue Dong
- Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, School of Information and Communication Engineering, Shanghai University, Shanghai, 200444, China
| | - Xian-Feng Yu
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China
| | - Ting Wang
- Department of Neurobiology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China
| | - Yan-Ning Cai
- Department of Neurobiology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China.
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China. .,School of Biomedical Engineering, Hainan University, Haikou, 570228, China. .,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, 100053, China. .,National Clinical Research Center for Geriatric Diseases, Beijing, 100053, China.
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Wang X, Zhao M, Lin L, Han Y. Plasma β-Amyloid Levels Associated With Structural Integrity Based on Diffusion Tensor Imaging in Subjective Cognitive Decline: The SILCODE Study. Front Aging Neurosci 2021; 12:592024. [PMID: 33510631 PMCID: PMC7835390 DOI: 10.3389/fnagi.2020.592024] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Accepted: 12/11/2020] [Indexed: 11/26/2022] Open
Abstract
Background: Accumulating evidence has demonstrated that plasma β-amyloid (Aβ) levels are useful biomarkers to reflect brain amyloidosis and gray matter structure, but little is known about their correlation with subclinical white matter (WM) integrity in individuals at risk of Alzheimer's disease (AD). Here, we investigated the microstructural changes in WM between subjects with low and high plasma Aβ levels among individuals with subjective cognitive decline (SCD). Methods: This study included 142 cognitively normal individuals with SCD who underwent a battery of neuropsychological tests, plasma Aβ measurements, and diffusion tensor imaging (DTI) based on the Sino Longitudinal Study on Cognitive Decline (SILCODE). Using tract-based spatial statistics (TBSS), we compared fractional anisotropy (FA), and mean diffusivity (MD) in WM between subjects with low (N = 71) and high (N = 71) plasma Aβ levels (cut-off: 761.45 pg/ml for Aβ40 and 10.74 pg/ml for Aβ42). Results: We observed significantly decreased FA and increased MD in the high Aβ40 group compared to the low Aβ40 group in various regions, including the body, the genu, and the splenium of the corpus callosum; the superior longitudinal fasciculus; the corona radiata; the thalamic radiation; the external and internal capsules; the inferior fronto-occipital fasciculus; and the sagittal stratum [p < 0.05, familywise error (FWE) corrected]. Average FA values were associated with poor performance on executive and memory assessments. No significant differences were found in either MD or FA between the low and high Aβ42 groups. Conclusion: Our results suggest that a correlation exists between WM integrity and plasma Aβ40 levels in individuals with SCD.
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Affiliation(s)
- Xiaoni Wang
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Mingyan Zhao
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Li Lin
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.,National Clinical Research Center for Geriatric Disorders, Beijing, China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China
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Harrison TM, Du R, Klencklen G, Baker SL, Jagust WJ. Distinct effects of beta-amyloid and tau on cortical thickness in cognitively healthy older adults. Alzheimers Dement 2020; 17:1085-1096. [PMID: 33325068 PMCID: PMC8203764 DOI: 10.1002/alz.12249] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 10/22/2020] [Accepted: 11/01/2020] [Indexed: 12/15/2022]
Abstract
INTRODUCTION Published reports of associations between β-amyloid (Aβ) and cortical integrity conflict. Tau biomarkers may help elucidate the complex relationship between pathology and neurodegeneration in aging. METHODS We measured cortical thickness using magnetic resonance imaging, Aβ using Pittsburgh compound B positron emission tomography (PiB-PET), and tau using flortaucipir (FTP)-PET in 125 cognitively normal older adults. We examined relationships among PET measures, cortical thickness, and cognition. RESULTS Cortical thickness was reduced in PiB+/FTP+ participants compared to the PiB+/FTP- and PiB-/FTP- groups. Continuous PiB associations with cortical thickness were weak but positive in FTP- participants and negative in FTP+. FTP strongly negatively predicted thickness regardless of PiB status. FTP was associated with memory and cortical thickness, and mediated the association of PiB with memory. DISCUSSION Past findings linking Aβ and cortical thickness are likely weak due to opposing effects of Aβ on cortical thickness relative to tau burden. Tau, in contrast to Aβ, is strongly related to cortical thickness and memory.
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Affiliation(s)
- Theresa M Harrison
- Helen Wills Neuroscience Institute, UC Berkeley, Berkeley, California, USA
| | - Richard Du
- Helen Wills Neuroscience Institute, UC Berkeley, Berkeley, California, USA
| | - Giuliana Klencklen
- Helen Wills Neuroscience Institute, UC Berkeley, Berkeley, California, USA
| | - Suzanne L Baker
- Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - William J Jagust
- Helen Wills Neuroscience Institute, UC Berkeley, Berkeley, California, USA.,Lawrence Berkeley National Laboratory, Berkeley, California, USA
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Gao F, Shang S, Chen C, Dang L, Gao L, Wei S, Wang J, Huo K, Deng M, Wang J, Qu Q. Non-linear Relationship Between Plasma Amyloid-β 40 Level and Cognitive Decline in a Cognitively Normal Population. Front Aging Neurosci 2020; 12:557005. [PMID: 33061905 PMCID: PMC7516983 DOI: 10.3389/fnagi.2020.557005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Accepted: 08/19/2020] [Indexed: 01/06/2023] Open
Abstract
Objectives Recent studies regarding the relationships between plasma amyloid-β (Aβ) levels and cognitive performance had inconsistent results. In this study, we aimed to characterize the relationship between cognitive decline and plasma Aβ levels in a large-sample cognitively normal population. Methods This population-based, prospective cohort study included 1,240 participants with normal cognition. The Mini-Mental State Examination (MMSE) was used to assess cognitive function at baseline and 2 years later. Restricted cubic splines, multivariate logistic regression, and multivariate linear regression models were used to evaluate the type of relationship between cognitive decline during the 2-year follow-up period and plasma Aβ levels (Aβ40, Aβ42, and Aβ42/40). Results Participants with moderate Aβ40 levels had the highest risk of cognitive decline during a 2-year follow-up relative to individuals with low Aβ40 [odds ratio (OR): 0.60, 95% confidence interval (CI): 0.45–0.81, p < 0.001] or high Aβ40 (OR: 0.65, 95% CI: 0.49–0.87, p = 0.004) levels. The association between Aβ40 and cognitive decline did not depend on sex, education level, or APOE ε4 status. There was an interaction found between age (≤ 65 and > 65 years) and Aβ40 (p for interaction = 0.021). In individuals older than 65 years, there was a positive linear relationship between plasma Aβ40 and cognitive decline (OR: 1.02, 95% CI: 1.00–1.04, p = 0.027). For participants ≤ 65 years old, the lower Aβ40 and higher Aβ40 groups had a lower risk of cognitive decline than the medium Aβ40 group (OR: 0.69, 95% CI: 0.50–0.94, p = 0.02; OR: 0.63, 95% CI: 0.45–0.86, p = 0.004). None of relationship between plasma Aβ42, Aβ42/40 and cognitive decline was found during a 2-year follow-up. Conclusion The relationship between plasma Aβ40 and cognitive decline was not linear, but an inverted-U shape in a cognitively normal population. The underlying mechanism requires further investigation.
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Affiliation(s)
- Fan Gao
- Clinical Research Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Suhang Shang
- Department of Neurology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Chen Chen
- Department of Neurology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Liangjun Dang
- Department of Neurology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Ling Gao
- Department of Neurology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Shan Wei
- Department of Neurology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jin Wang
- Department of Neurology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Kang Huo
- Department of Neurology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Meiying Deng
- Department of Neurology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jingyi Wang
- Department of Neurology, Huxian Hospital of Traditional Chinese Medicine, Xi'an, China
| | - Qiumin Qu
- Department of Neurology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
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Neuropsychological Test Performance and MRI Markers of Dementia Risk: Reducing Education Bias. Alzheimer Dis Assoc Disord 2020; 33:179-185. [PMID: 31206372 DOI: 10.1097/wad.0000000000000321] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND To use neuropsychological assessments for studying the underlying disease processes contributing to dementia, it is crucial that they correspond to magnetic resonance imaging (MRI)-based measures of dementia, regardless of educational level. METHODS French 3-City Dijon MRI study cohort members (n=1782) with assessments of white matter lesion volume (WMLV), hippocampal volume (HCV), and cerebrospinal fluid volume (CSFV), and 6 waves of neuropsychological assessments over 11 years, including Mini-Mental State Examination (MMSE), plus 5 other tests combined using a Z-score or item-response theory (IRT-cognition) comprised the study cohort. We evaluated, testing interactions, whether education modified associations of MRI markers with intercept or rate of change of MMSE, Z-score composite, or IRT-cognition. RESULTS In linear models, education modified the associations of WMLV and CSFV with MMSE and CSFV and Z-score composite. In mixed models, education modified the associations of WMLV and CSFV with level of MMSE and the association of HCV with slope of MMSE. Education also modified the association with CSFV and slope of Z-score composite decline. There was no evidence that education modified associations between MRI measures and level or slope of IRT-cognition. CONCLUSIONS Longitudinal analysis of correctly scaled neuropsychological assessments may provide unbiased proxies for MRI-based measures of dementia risk.
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Wang X, Sun Y, Li T, Cai Y, Han Y. Amyloid-β as a Blood Biomarker for Alzheimer’s Disease: A Review of Recent Literature. J Alzheimers Dis 2020; 73:819-832. [PMID: 31868667 DOI: 10.3233/jad-190714] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Affiliation(s)
- Xiaoni Wang
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Yu Sun
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Taoran Li
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Yanning Cai
- Department of Neurobiology, Xuanwu Hospital of Capital Medical University, Key Laboratory for Neurodegenerative Diseases of the Ministry of Education, Beijing, China
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
- Center of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China
- National Clinical Research Center for Geriatric Disorders, Beijing, China
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11
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Plasma β-amyloid 1–42 reference values in cognitively normal subjects. J Neurol Sci 2018; 391:120-126. [DOI: 10.1016/j.jns.2018.06.006] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Revised: 05/18/2018] [Accepted: 06/12/2018] [Indexed: 12/17/2022]
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12
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Hanon O, Vidal JS, Lehmann S, Bombois S, Allinquant B, Tréluyer JM, Gelé P, Delmaire C, Blanc F, Mangin JF, Buée L, Touchon J, Hugon J, Vellas B, Galbrun E, Benetos A, Berrut G, Paillaud E, Wallon D, Castelnovo G, Volpe-Gillot L, Paccalin M, Robert PH, Godefroy O, Dantoine T, Camus V, Belmin J, Vandel P, Novella JL, Duron E, Rigaud AS, Schraen-Maschke S, Gabelle A. Plasma amyloid levels within the Alzheimer's process and correlations with central biomarkers. Alzheimers Dement 2018; 14:858-868. [PMID: 29458036 DOI: 10.1016/j.jalz.2018.01.004] [Citation(s) in RCA: 92] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2017] [Revised: 12/01/2017] [Accepted: 01/08/2018] [Indexed: 12/14/2022]
Abstract
INTRODUCTION Diagnostic relevance of plasma amyloid β (Aβ) for Alzheimer's disease (AD) process yields conflicting results. The objective of the study was to assess plasma levels of Aβ42 and Aβ40 in amnestic mild cognitive impairment (MCI), nonamnestic MCI, and AD patients and to investigate relationships between peripheral and central biomarkers. METHODS One thousand forty participants (417 amnestic MCI, 122 nonamnestic MCI, and 501 AD) from the Biomarker of AmyLoïd pepTide and AlZheimer's diseAse Risk multicenter prospective study with cognition, plasma, cerebrospinal fluid (CSF), and magnetic resonance imaging assessments were included. RESULTS Plasma Aβ1-42 and Aβ1-40 were lower in AD (36.9 [11.7] and 263 [80] pg/mL) than in amnestic MCI (38.2 [11.9] and 269 [68] pg/mL) than in nonamnestic MCI (39.7 [10.5] and 272 [52] pg/mL), respectively (P = .01 for overall difference between groups for Aβ1-42 and P = .04 for Aβ1-40). Globally, plasma Aβ1-42 correlated with age, Mini-Mental State Examination, and APOE ε4 allele. Plasma Aβ1-42 correlated with all CSF biomarkers in MCI but only with CSF Aβ42 in AD. DISCUSSION Plasma Aβ was associated with cognitive status and CSF biomarkers, suggesting the interest of plasma amyloid biomarkers for diagnosis purpose.
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Affiliation(s)
- Olivier Hanon
- Memory Resource and Research Centre of de Paris-Broca-Ile de France, Hopital Broca, APHP, Paris, France; EA 4468, Université Paris Descartes, Sorbonne Paris Cité, Paris, France.
| | - Jean-Sébastien Vidal
- Memory Resource and Research Centre of de Paris-Broca-Ile de France, Hopital Broca, APHP, Paris, France; EA 4468, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
| | - Sylvain Lehmann
- Laboratoire de Protéomique Clinique, Department of Biochemistry, Saint Eloi Hospital, IRMB, Inserm U1183, Université de Montpellier, Montpellier, France
| | - Stéphanie Bombois
- Memory Clinic, CHU Lille, Lille, France; Université Lille, Inserm U1171, Degenerative and Vascular Cognitive Disorders, Lille, France
| | | | - Jean-Marc Tréluyer
- Unité de recherche Clinique, Hôpital Universitaire Necker-Enfants Malades, APHP, Université Paris Descartes, Paris, France
| | - Patrick Gelé
- Department of Biology and Pathology, CHU de Lille, Lille, France; Université Lille, INSERM UMRS 1172, Alzheimer's & Tauopathies, Centre de Biologie Pathologie Génétique, CHU Lille, Lille, France
| | - Christine Delmaire
- Memory Clinic, CHU Lille, Lille, France; Université Lille, Inserm U1171, Degenerative and Vascular Cognitive Disorders, Lille, France
| | - Fredéric Blanc
- Memory Resource and Research Centre of Strasbourg/Colmar, CHRU de Strasbourg, Strasbourg, France; University of Strasbourg and French National Centre for Scientific Research (CNRS), ICube Laboratory and Fédération de Médecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Intégrative en Santé (IMIS)/Neurocrypto, Strasbourg, France
| | - Jean-François Mangin
- CATI Multicenter Neuroimaging Platform, Neurospin, CEA, cati-neuroimaging.com, Paris Saclay University, Gif-sur-Yvette, France
| | - Luc Buée
- Department of Biology and Pathology, CHU de Lille, Lille, France; Université Lille, INSERM UMRS 1172, Alzheimer's & Tauopathies, Centre de Biologie Pathologie Génétique, CHU Lille, Lille, France
| | - Jacques Touchon
- Memory Resource and Research Centre of Montpellier, Department of Neurology, CHU Gui de Chauliac, Université de Montpellier, Montpellier, France
| | - Jacques Hugon
- Memory Resource and Research Centre of Paris Nord-Ile de France, Groupe Hospitalier Saint Louis-Lariboisière-Fernand Widal, APHP, Paris, France; University of Paris Diderot, Sorbonne Paris Cité, Paris, France
| | - Bruno Vellas
- Memory Resource and Research Centre of Midi-Pyrénées, CHU La Grave-Casselardit, Toulouse, France
| | - Evelyne Galbrun
- Department of Gérontology 2, Centre Hospitalier Émile-Roux, AP-HP, Limeil-Brévannes, France
| | - Athanase Benetos
- Memory Resource and Research Centre of Lorraine, CHU de Nancy, Nancy, France
| | - Gilles Berrut
- Memory Research Resource Center of Nantes, CHU de Nantes, Nantes, France
| | - Elèna Paillaud
- Department of Internal Medicine and Geriatrics, Hôpital Henri-Mondor, APHP, Créteil, France
| | - David Wallon
- Memory Resource and Research Centre of Haute-Normandie, CHU Charles Nicolle, Rouen, France; Inserm U1079, IRIB, Université de Rouen-Normandie, Rouen, France
| | | | | | - Marc Paccalin
- Memory Resource and Research Centre of Poitiers, CHU de Poitiers, Poitiers, France
| | | | - Olivier Godefroy
- Memory Resource and Research Centre of Amiens Picardie, CHU d'Amiens-Picardie, Amiens, France
| | - Thierry Dantoine
- Memory Research Resource Center of Limoges, CHU de Limoges, Limoges, France
| | - Vincent Camus
- Memory Resource and Research Centre of Tours, CHRU de Tours, Tours, France; Inserm U930 Imagerie et Cerveau, Université François-Rabelais de Tours, Tours, France
| | - Joël Belmin
- Service de Gériatrie à orientation Cardiologique et Neurologique, Hôpitaux Universitaires Pitie-Salpêtrière-Charles Foix, APHP, Paris, France; DHU FAST, Sorbonne Universités, UPMC Université Paris 06, Paris, France
| | - Pierre Vandel
- Memory Resource and Research Centre of Besançon-Franche-Comté, CHU de Besançon, Besançon, France; EA 481 Neuroscience, IFR 133, University of Bourgogne Franche-Comté, Besançon, France
| | - Jean-Luc Novella
- Memory Resource and Research Centre of Champagne Ardenne, CHU de Reims, Reims, France; EA 3797, Université de Reims Champagne Ardenne, Reims, France
| | - Emmanuelle Duron
- Memory Resource and Research Centre of de Paris-Broca-Ile de France, Hopital Broca, APHP, Paris, France; EA 4468, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
| | - Anne-Sophie Rigaud
- Memory Resource and Research Centre of de Paris-Broca-Ile de France, Hopital Broca, APHP, Paris, France; EA 4468, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
| | - Suzanna Schraen-Maschke
- Department of Biology and Pathology, CHU de Lille, Lille, France; Université Lille, INSERM UMRS 1172, Alzheimer's & Tauopathies, Centre de Biologie Pathologie Génétique, CHU Lille, Lille, France
| | - Audrey Gabelle
- Memory Resource and Research Centre of Montpellier, Department of Neurology, CHU Gui de Chauliac, Université de Montpellier, Montpellier, France
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Gary C, Hérard AS, Hanss Z, Dhenain M. Plasma Amyloid Is Associated with White Matter and Subcortical Alterations and Is Modulated by Age and Seasonal Rhythms in Mouse Lemur Primates. Front Aging Neurosci 2018; 10:35. [PMID: 29491833 PMCID: PMC5817060 DOI: 10.3389/fnagi.2018.00035] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Accepted: 01/30/2018] [Indexed: 01/03/2023] Open
Abstract
Accumulation of amyloid-β (Aβ) peptides in the brain is a critical early event in the pathogenesis of Alzheimer's disease (AD), the most common age-related neurodegenerative disorder. There is increasing interest in measuring levels of plasma Aβ since this could help in diagnosis of brain pathology. However, the value of plasma Aβ in such a diagnosis is still controversial and factors modulating its levels are still poorly understood. The mouse lemur (Microcebus murinus) is a primate model of cerebral aging which can also present with amyloid plaques and whose Aβ is highly homologous to humans'. In an attempt to characterize this primate model and to evaluate the potential of plasma Aβ as a biomarker for brain alterations, we measured plasma Aβ40 concentration in 21 animals aged from 5 to 9.5 years. We observed an age-related increase in plasma Aβ40 levels. We then evaluated the relationships between plasma Aβ40 levels and cerebral atrophy in these mouse lemurs. Voxel-based analysis of cerebral MR images (adjusted for the age/sex/brain size of the animals), showed that low Aβ40 levels are associated with atrophy of several white matter and subcortical brain regions. These results suggest that low Aβ40 levels in middle-aged/old animals are associated with brain deterioration. One special feature of mouse lemurs is that their metabolic and physiological parameters follow seasonal changes strictly controlled by illumination. We evaluated seasonal-related variations of plasma Aβ40 levels and found a strong effect, with higher plasma Aβ40 concentrations in winter conditions compared to summer. This question of seasonal modulation of Aβ plasma levels should be addressed in clinical studies. We also focused on the amplitude of the difference between plasma Aβ40 levels during the two seasons and found that this amplitude increases with age. Possible mechanisms leading to these seasonal changes are discussed.
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Affiliation(s)
- Charlotte Gary
- Centre National de la Recherche Scientifique, Université Paris-Sud, Université Paris-Saclay, UMR 9199, Neurodegenerative Diseases Laboratory, Fontenay-aux-Roses, France.,Commissariat à l'Energie Atomique et aux Energies Alternatives, Direction de la Recherche Fondamentale, Institut François Jacob, MIRCen, Fontenay-aux-Roses, France
| | - Anne-Sophie Hérard
- Centre National de la Recherche Scientifique, Université Paris-Sud, Université Paris-Saclay, UMR 9199, Neurodegenerative Diseases Laboratory, Fontenay-aux-Roses, France.,Commissariat à l'Energie Atomique et aux Energies Alternatives, Direction de la Recherche Fondamentale, Institut François Jacob, MIRCen, Fontenay-aux-Roses, France
| | - Zoé Hanss
- Centre National de la Recherche Scientifique, Université Paris-Sud, Université Paris-Saclay, UMR 9199, Neurodegenerative Diseases Laboratory, Fontenay-aux-Roses, France.,Commissariat à l'Energie Atomique et aux Energies Alternatives, Direction de la Recherche Fondamentale, Institut François Jacob, MIRCen, Fontenay-aux-Roses, France
| | - Marc Dhenain
- Centre National de la Recherche Scientifique, Université Paris-Sud, Université Paris-Saclay, UMR 9199, Neurodegenerative Diseases Laboratory, Fontenay-aux-Roses, France.,Commissariat à l'Energie Atomique et aux Energies Alternatives, Direction de la Recherche Fondamentale, Institut François Jacob, MIRCen, Fontenay-aux-Roses, France
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14
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Pérez-Grijalba V, Fandos N, Canudas J, Insua D, Casabona D, Lacosta AM, Montañés M, Pesini P, Sarasa M. Validation of Immunoassay-Based Tools for the Comprehensive Quantification of Aβ40 and Aβ42 Peptides in Plasma. J Alzheimers Dis 2018; 54:751-62. [PMID: 27567833 PMCID: PMC5044780 DOI: 10.3233/jad-160325] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Recent advances in neuroimaging and cerebrospinal fluid (CSF) biomarker assays have provided evidence of a long preclinical stage of Alzheimer's disease (AD). This period is being increasingly targeted for secondary prevention trials of new therapies. In this context, the interest of a noninvasive, cost-effective amyloid-β (Aβ) blood-based test does not need to be overstated. Nevertheless, a thorough validation of these bioanalytical methods should be performed as a prerequisite for confident interpretation of clinical results. The aim of this study was to validate ELISA sandwich colorimetric ABtest40 and ABtest42 for the quantification of Aβ40 and Aβ42 in human plasma. The validation parameters assessed included precision, accuracy, sensitivity, specificity, recovery, and dilution linearity. ABtest40 and ABtest42 proved to be specific for their target peptide using Aβ peptides with sequence similar to the target. Mean relative error in the quantification was found to be below 7.5% for both assays, with high intra-assay, inter-assay, and inter-batch precision (CV <9.0% on average). Sensitivity was assessed by determination of the limit of quantification fulfilling precision and accuracy criteria; it was established at 7.60 pg/ml and 3.60 pg/ml for ABtest40 and ABtest42, respectively. Plasma dilution linearity was demonstrated in PBS; however, dilution in a proprietary formulated buffer significantly increased the recovery of both Aβ40 and Aβ42 masked by matrix interactions, allowing a more comprehensive assessment of the free and total peptide levels in the plasma. In conclusion, both assays were successfully validated as tools for the quantification Aβ40 and Aβ42 in plasma.
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Affiliation(s)
| | | | | | | | | | | | | | - Pedro Pesini
- Correspondence to: Pedro Pesini, Araclon Biotech, Via Hispanidad 21, 50009 Zaragoza, Spain. Tel.: +34 976 796 562; E-mail:
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15
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Innes KE, Selfe TK, Brundage K, Montgomery C, Wen S, Kandati S, Bowles H, Khalsa DS, Huysmans Z. Effects of Meditation and Music-Listening on Blood Biomarkers of Cellular Aging and Alzheimer's Disease in Adults with Subjective Cognitive Decline: An Exploratory Randomized Clinical Trial. J Alzheimers Dis 2018; 66:947-970. [PMID: 30320574 PMCID: PMC6388631 DOI: 10.3233/jad-180164] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
BACKGROUND Telomere length (TL), telomerase activity (TA), and plasma amyloid-β (Aβ) levels have emerged as possible predictors of cognitive decline and dementia. OBJECTIVE To assess the: 1) effects of two 12-week relaxation programs on TL, TA, and Aβ levels in adults with subjective cognitive decline; and 2) relationship of biomarker changes to those in cognitive function, psychosocial status, and quality of life (QOL). METHODS Participants were randomized to a 12-week Kirtan Kriya meditation (KK) or music listening (ML) program and asked to practice 12 minutes/day. Plasma Aβ(38/40/42) and peripheral blood mononuclear cell TL and TA were measured at baseline and 3 months. Cognition, stress, sleep, mood, and QOL were assessed at baseline, 3 months, and 6 months. RESULTS Baseline blood samples were available for 53 participants (25 KK, 28 ML). The KK group showed significantly greater increases in Aβ40 than the ML group. TA rose in both groups, although increases were significant only among those with higher practice adherence and lower baseline TA. Changes in both TL and TA varied by their baseline values, with greater increases among participants with values ≤50th percentile (ps-interaction <0.006). Both groups improved in cognitive and psychosocial status (ps ≤0.05), with improvements in stress, mood, and QOL greater in the KK group. Rising Aβ levels were correlated with gains in cognitive function, mood, sleep, and QOL at both 3 and 6 months, associations that were particularly pronounced in the KK group. Increases in TL and TA were also correlated with improvements in certain cognitive and psychosocial measures. CONCLUSION Practice of simple mind-body therapies may alter plasma Aβ levels, TL, and TA. Biomarker increases were associated with improvements in cognitive function, sleep, mood, and QOL, suggesting potential functional relationships.
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Affiliation(s)
- Kim E. Innes
- Department of Epidemiology, School of Public Health, West Virginia University (WVU) Morgantown, WV, USA
| | - Terry Kit Selfe
- Department of Epidemiology, School of Public Health, West Virginia University (WVU) Morgantown, WV, USA
- Department of Biomedical and Health Information Services, Health Science Center Libraries, University of Florida, Gainesville, FL, USA
| | - Kathleen Brundage
- Department of Microbiology, Flow Cytometry & Single Cell Core Facility, Immunology & Cell Biology, School of Medicine, WVU Morgantown, WV, USA
| | - Caitlin Montgomery
- Department of Epidemiology, School of Public Health, West Virginia University (WVU) Morgantown, WV, USA
| | - Sijin Wen
- Department of Biostatistics, School of Public Health, WVU, Morgantown, WV, USA
| | - Sahiti Kandati
- Department of Epidemiology, School of Public Health, West Virginia University (WVU) Morgantown, WV, USA
| | - Hannah Bowles
- Department of Epidemiology, School of Public Health, West Virginia University (WVU) Morgantown, WV, USA
| | | | - Zenzi Huysmans
- College of Physical Activity and Sport Sciences, WVU, Morgantown, WV, USA
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16
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Hsu JL, Lee WJ, Liao YC, Lirng JF, Wang SJ, Fuh JL. Plasma biomarkers are associated with agitation and regional brain atrophy in Alzheimer's disease. Sci Rep 2017; 7:5035. [PMID: 28698646 PMCID: PMC5506051 DOI: 10.1038/s41598-017-05390-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2017] [Accepted: 05/30/2017] [Indexed: 12/28/2022] Open
Abstract
This study investigated the relationships among plasma biomarkers, regional brain atrophy, and clinical symptoms in patients with Alzheimer's disease (AD; n = 177), mild cognitive impairment (MCI; N = 60) and controls (n = 108). The Mini-Mental Status Examination (MMSE), Clinical Dementia Rating (CDR), and Neuropsychiatric Inventory (NPI) subscales were administered to subjects. Magnetic resonance imaging was performed and medial temporal atrophy (MTA) and posterior atrophy (PA) were assessed visually. We examined associations among cognition, NPI score, plasma β-amyloid (Aβ) and clusterin levels, and regional brain atrophy in patients with AD by regression analysis. The mean MTA score was associated with the plasma Aβ1-42/Aβ1-40 ratio (r = 0.38, p = 0.01) and with MMSE scores (r = 0.43, p < 0.01). The plasma clusterin level was correlated with CDR sum of box and right-side PA scores (r = 0.28, p = 0.01 and r = 0.30, p = 0.03, respectively). Right-side PA scores were correlated significantly with NPI agitation/aggression (r = 0.30, p = 0.03) subscale scores. In conclusion, the plasma ratio of Aβ1-42/Aβ1-40 and clusterin level may be associated with different patterns of regional brain atrophy, which in turn may account for the clinical symptoms in patients with AD.
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Affiliation(s)
- Jung-Lung Hsu
- Taipei Medical University, Graduate Institute of Humanities in Medicine, Taipei, Taiwan.,Department of Neurology, Chang Gung Memorial Hospital Linkou Medical Center and College of Medicine, Chang-Gung University, Taoyuan, Taiwan.,Taipei Medical University Research Center for Brain and Consciousness and Shuang Ho Hospital, New Taipei City, Taiwan
| | - Wei-Ju Lee
- Neurological Institute, Taichung Veterans General Hospital, Taichung, Taiwan.,Faculty of Medicine, National Yang-Ming University Schools of Medicine, Taipei, Taiwan.,Institute of Clinical Medicine, National Yang-Ming University Schools of Medicine, Taipei, Taiwan
| | - Yi-Chu Liao
- Faculty of Medicine, National Yang-Ming University Schools of Medicine, Taipei, Taiwan.,Brain Research Center, National Yang-Ming University Schools of Medicine, Taipei, Taiwan.,Department of Neurology, Neurological Institute, Taipei veterans General Hospital, Taipei, Taiwan
| | - Jiing-Feng Lirng
- Faculty of Medicine, National Yang-Ming University Schools of Medicine, Taipei, Taiwan.,Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Shuu-Jiun Wang
- Faculty of Medicine, National Yang-Ming University Schools of Medicine, Taipei, Taiwan. .,Brain Research Center, National Yang-Ming University Schools of Medicine, Taipei, Taiwan. .,Department of Neurology, Neurological Institute, Taipei veterans General Hospital, Taipei, Taiwan.
| | - Jong-Ling Fuh
- Faculty of Medicine, National Yang-Ming University Schools of Medicine, Taipei, Taiwan. .,Brain Research Center, National Yang-Ming University Schools of Medicine, Taipei, Taiwan. .,Department of Neurology, Neurological Institute, Taipei veterans General Hospital, Taipei, Taiwan.
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17
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Gil-Montoya JA, Barrios R, Santana S, Sanchez-Lara I, Pardo CC, Fornieles-Rubio F, Montes J, Ramírez C, González-Moles MA, Burgos JS. Association Between Periodontitis and Amyloid β Peptide in Elderly People With and Without Cognitive Impairment. J Periodontol 2017; 88:1051-1058. [PMID: 28598287 DOI: 10.1902/jop.2017.170071] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
BACKGROUND Evidence that periodontal disease is a possible risk factor for cognitive impairment may be explained by the inflammatory hypothesis. The aim of this study is to determine whether periodontitis is related to the amyloid β (Aβ) load in blood and the role of any such relationship in the association between Aβ and cognitive impairment. METHODS A case-control study was performed in elderly people diagnosed with cognitive impairment with or without dementia (cases group) and cognitively healthy elderly people (control group); data were collected on the medical and dental history of participants, and blood samples were drawn to determine Aβ levels using enzyme-linked immunosorbent assay. RESULTS The study included 166 patients and 122 control participants. Higher blood Aβ1-42 levels (P = 0.01) and higher Aβ42:40 ratio (P = 0.06) were observed in participants with severe attachment loss than in other participants. Periodontitis was a significant interaction variable, given that the association between Aβ1-42 and Aβ1-40 and cognitive impairment was only observed in patients with severe periodontitis. According to these data, periodontitis may be a modulating variable of the association between Aβ and cognitive impairment. CONCLUSIONS Plasma Aβ1-42 levels are higher in individuals who have severe periodontal disease. The presence of periodontitis may modify the association between Aβ and cognitive impairment.
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Affiliation(s)
| | - Rocío Barrios
- School of Dentistry, Granada Biohealth Research Institute, Granada, Spain
| | - Soraya Santana
- Neuro Biolabs SL, Health Science Technological Park, Granada, Spain
| | - Inés Sanchez-Lara
- School of Dentistry, Granada Biohealth Research Institute, Granada, Spain
| | | | | | | | - Carlos Ramírez
- Neuro Biolabs SL, Health Science Technological Park, Granada, Spain
| | | | - Javier S Burgos
- Neuro Biolabs SL, Health Science Technological Park, Granada, Spain
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18
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Poljak A, Sachdev PS. Plasma amyloid beta peptides: an Alzheimer’s conundrum or a more accessible Alzheimer’s biomarker? Expert Rev Neurother 2016; 17:3-5. [DOI: 10.1080/14737175.2016.1217156] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Affiliation(s)
- Anne Poljak
- Center for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of NSW, Sydney, Australia
- School of Medical Sciences (SOMS), University of NSW, Sydney, Australia
- Bioanalytical Mass Spectrometry Facility (BMSF), University of NSW, Sydney, Australia
| | - Perminder Singh Sachdev
- Center for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of NSW, Sydney, Australia
- Neuropsychiatric Institute, Prince of Wales Hospital, University of NSW, Sydney, Australia
- School of Psychiatry, University of NSW, Sydney, Australia
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19
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Thinnes FP. Plasmalemmal VDAC-1 corroborated as amyloid Aß-receptor. Front Aging Neurosci 2015; 7:188. [PMID: 26483684 PMCID: PMC4588700 DOI: 10.3389/fnagi.2015.00188] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2015] [Accepted: 09/16/2015] [Indexed: 11/13/2022] Open
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