1
|
Koivumäki M, Ekblad L, Lantero-Rodriguez J, Ashton NJ, Karikari TK, Helin S, Parkkola R, Lötjönen J, Zetterberg H, Blennow K, Rinne JO, Snellman A. Blood biomarkers of neurodegeneration associate differently with amyloid deposition, medial temporal atrophy, and cerebrovascular changes in APOE ε4-enriched cognitively unimpaired elderly. Alzheimers Res Ther 2024; 16:112. [PMID: 38762725 PMCID: PMC11102270 DOI: 10.1186/s13195-024-01477-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 05/06/2024] [Indexed: 05/20/2024]
Abstract
BACKGROUND Alzheimer's disease (AD) is characterized by the accumulation of amyloid-β (Aβ) plaques, neurofibrillary tau tangles, and neurodegeneration in the brain parenchyma. Here, we aimed to (i) assess differences in blood and imaging biomarkers used to evaluate neurodegeneration among cognitively unimpaired APOE ε4 homozygotes, heterozygotes, and non-carriers with varying risk for sporadic AD, and (ii) to determine how different cerebral pathologies (i.e., Aβ deposition, medial temporal atrophy, and cerebrovascular pathology) contribute to blood biomarker concentrations in this sample. METHODS Sixty APOE ε4 homozygotes (n = 19), heterozygotes (n = 21), and non-carriers (n = 20) ranging from 60 to 75 years, were recruited in collaboration with Auria biobank (Turku, Finland). Participants underwent Aβ-PET ([11C]PiB), structural brain MRI including T1-weighted and T2-FLAIR sequences, and blood sampling for measuring serum neurofilament light chain (NfL), plasma total tau (t-tau), plasma N-terminal tau fragments (NTA-tau) and plasma glial fibrillary acidic protein (GFAP). [11C]PiB standardized uptake value ratio was calculated for regions typical for Aβ accumulation in AD. MRI images were analysed for regional volumes, atrophy scores, and volumes of white matter hyperintensities. Differences in biomarker levels and associations between blood and imaging biomarkers were tested using uni- and multivariable linear models (unadjusted and adjusted for age and sex). RESULTS Serum NfL concentration was increased in APOE ε4 homozygotes compared with non-carriers (mean 21.4 pg/ml (SD 9.5) vs. 15.5 pg/ml (3.8), p = 0.013), whereas other blood biomarkers did not differ between the groups (p > 0.077 for all). From imaging biomarkers, hippocampal volume was significantly decreased in APOE ε4 homozygotes compared with non-carriers (6.71 ml (0.86) vs. 7.2 ml (0.7), p = 0.029). In the whole sample, blood biomarker levels were differently predicted by the three measured cerebral pathologies; serum NfL concentration was associated with cerebrovascular pathology and medial temporal atrophy, while plasma NTA-tau associated with medial temporal atrophy. Plasma GFAP showed significant association with both medial temporal atrophy and Aβ pathology. Plasma t-tau concentration did not associate with any of the measured pathologies. CONCLUSIONS Only increased serum NfL concentrations and decreased hippocampal volume was observed in cognitively unimpaired APOEε4 homozygotes compared to non-carriers. In the whole population the concentrations of blood biomarkers were affected in distinct ways by different pathologies.
Collapse
Affiliation(s)
- Mikko Koivumäki
- Turku PET Centre, Turku University Hospital, University of Turku, Turku, Finland.
| | - Laura Ekblad
- Turku PET Centre, Turku University Hospital, University of Turku, Turku, Finland
- Department of Geriatric Medicine, Turku University Hospital and University of Turku, Turku, Finland
| | - Juan Lantero-Rodriguez
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
- Department of Old Age Psychiatry, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK
- NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation, London, UK
| | - Thomas K Karikari
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Semi Helin
- Turku PET Centre, Turku University Hospital, University of Turku, Turku, Finland
| | - Riitta Parkkola
- Department of Radiology, Turku University Hospital, University of Turku, Turku, Finland
| | | | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin, University of Wisconsin-Madison, Madison, WI, USA
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Juha O Rinne
- Turku PET Centre, Turku University Hospital, University of Turku, Turku, Finland
- InFLAMES Research Flagship Center, University of Turku, Turku, Finland
| | - Anniina Snellman
- Turku PET Centre, Turku University Hospital, University of Turku, Turku, Finland
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| |
Collapse
|
2
|
Lista S, Mapstone M, Caraci F, Emanuele E, López-Ortiz S, Martín-Hernández J, Triaca V, Imbimbo C, Gabelle A, Mielke MM, Nisticò R, Santos-Lozano A, Imbimbo BP. A critical appraisal of blood-based biomarkers for Alzheimer's disease. Ageing Res Rev 2024; 96:102290. [PMID: 38580173 DOI: 10.1016/j.arr.2024.102290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 03/18/2024] [Accepted: 03/31/2024] [Indexed: 04/07/2024]
Abstract
Biomarkers that predict the clinical onset of Alzheimer's disease (AD) enable the identification of individuals in the early, preclinical stages of the disease. Detecting AD at this point may allow for more effective therapeutic interventions and optimized enrollment for clinical trials of novel drugs. The current biological diagnosis of AD is based on the AT(N) classification system with the measurement of brain deposition of amyloid-β (Aβ) ("A"), tau pathology ("T"), and neurodegeneration ("N"). Diagnostic cut-offs for Aβ1-42, the Aβ1-42/Aβ1-40 ratio, tau and hyperphosphorylated-tau concentrations in cerebrospinal fluid have been defined and may support AD clinical diagnosis. Blood-based biomarkers of the AT(N) categories have been described in the AD continuum. Cross-sectional and longitudinal studies have shown that the combination of blood biomarkers tracking neuroaxonal injury (neurofilament light chain) and neuroinflammatory pathways (glial fibrillary acidic protein) enhance sensitivity and specificity of AD clinical diagnosis and improve the prediction of AD onset. However, no international accepted cut-offs have been identified for these blood biomarkers. A kit for blood Aβ1-42/Aβ1-40 is commercially available in the U.S.; however, it does not provide a diagnosis, but simply estimates the risk of developing AD. Although blood-based AD biomarkers have a great potential in the diagnostic work-up of AD, they are not ready for the routine clinical use.
Collapse
Affiliation(s)
- Simone Lista
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), Valladolid 47012, Spain.
| | - Mark Mapstone
- Department of Neurology, Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA 92697, USA.
| | - Filippo Caraci
- Department of Drug and Health Sciences, University of Catania, Catania 95125, Italy; Neuropharmacology and Translational Neurosciences Research Unit, Oasi Research Institute-IRCCS, Troina 94018, Italy.
| | | | - Susana López-Ortiz
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), Valladolid 47012, Spain.
| | - Juan Martín-Hernández
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), Valladolid 47012, Spain.
| | - Viviana Triaca
- Institute of Biochemistry and Cell Biology (IBBC), National Research Council (CNR), Rome 00015, Italy.
| | - Camillo Imbimbo
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia 27100, Italy.
| | - Audrey Gabelle
- Memory Resources and Research Center, Montpellier University of Excellence i-site, Montpellier 34295, France.
| | - Michelle M Mielke
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC 27101, USA.
| | - Robert Nisticò
- School of Pharmacy, University of Rome "Tor Vergata", Rome 00133, Italy; Laboratory of Pharmacology of Synaptic Plasticity, EBRI Rita Levi-Montalcini Foundation, Rome 00143, Italy.
| | - Alejandro Santos-Lozano
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), Valladolid 47012, Spain; Physical Activity and Health Research Group (PaHerg), Research Institute of the Hospital 12 de Octubre ('imas12'), Madrid 28041, Spain.
| | - Bruno P Imbimbo
- Department of Research and Development, Chiesi Farmaceutici, Parma 43122, Italy.
| |
Collapse
|
3
|
Lantero-Rodriguez J, Salvadó G, Snellman A, Montoliu-Gaya L, Brum WS, Benedet AL, Mattsson-Carlgren N, Tideman P, Janelidze S, Palmqvist S, Stomrud E, Ashton NJ, Zetterberg H, Blennow K, Hansson O. Plasma N-terminal containing tau fragments (NTA-tau): a biomarker of tau deposition in Alzheimer's Disease. Mol Neurodegener 2024; 19:19. [PMID: 38365825 PMCID: PMC10874032 DOI: 10.1186/s13024-024-00707-x] [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: 05/26/2023] [Accepted: 01/30/2024] [Indexed: 02/18/2024] Open
Abstract
BACKGROUND Novel phosphorylated-tau (p-tau) blood biomarkers (e.g., p-tau181, p-tau217 or p-tau231), are highly specific for Alzheimer's disease (AD), and can track amyloid-β (Aβ) and tau pathology. However, because these biomarkers are strongly associated with the emergence of Aβ pathology, it is difficult to determine the contribution of insoluble tau aggregates to the plasma p-tau signal in blood. Therefore, there remains a need for a biomarker capable of specifically tracking insoluble tau accumulation in brain. METHODS NTA is a novel ultrasensitive assay targeting N-terminal containing tau fragments (NTA-tau) in cerebrospinal fluid (CSF) and plasma, which is elevated in AD. Using two well-characterized research cohorts (BioFINDER-2, n = 1,294, and BioFINDER-1, n = 932), we investigated the association between plasma NTA-tau levels and disease progression in AD, including tau accumulation, brain atrophy and cognitive decline. RESULTS We demonstrate that plasma NTA-tau increases across the AD continuum¸ especially during late stages, and displays a moderate-to-strong association with tau-PET (β = 0.54, p < 0.001) in Aβ-positive participants, while weak with Aβ-PET (β = 0.28, p < 0.001). Unlike plasma p-tau181, GFAP, NfL and t-tau, tau pathology determined with tau-PET is the most prominent contributor to NTA-tau variance (52.5% of total R2), while having very low contribution from Aβ pathology measured with CSF Aβ42/40 (4.3%). High baseline NTA-tau levels are predictive of tau-PET accumulation (R2 = 0.27), steeper atrophy (R2 ≥ 0.18) and steeper cognitive decline (R2 ≥ 0.27) in participants within the AD continuum. Plasma NTA-tau levels significantly increase over time in Aβ positive cognitively unimpaired (βstd = 0.16) and impaired (βstd = 0.18) at baseline compared to their Aβ negative counterparts. Finally, longitudinal increases in plasma NTA-tau levels were associated with steeper longitudinal decreases in cortical thickness (R2 = 0.21) and cognition (R2 = 0.20). CONCLUSION Our results indicate that plasma NTA-tau levels increase across the AD continuum, especially during mid-to-late AD stages, and it is closely associated with in vivo tau tangle deposition in AD and its downstream effects. Moreover, this novel biomarker has potential as a cost-effective and easily accessible tool for monitoring disease progression and cognitive decline in clinical settings, and as an outcome measure in clinical trials which also need to assess the downstream effects of successful Aβ removal.
Collapse
Affiliation(s)
- Juan Lantero-Rodriguez
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at the University of Gothenburg, House V3/SU, 43180, Mölndal, Sweden.
| | - Gemma Salvadó
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Anniina Snellman
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at the University of Gothenburg, House V3/SU, 43180, Mölndal, Sweden
- Turku PET Centre, University of Turku, Turku University Hospital, Turku, Finland
| | - Laia Montoliu-Gaya
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at the University of Gothenburg, House V3/SU, 43180, Mölndal, Sweden
| | - Wagner S Brum
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at the University of Gothenburg, House V3/SU, 43180, Mölndal, Sweden
- Graduate Program in Biological Sciences: Biochemistry, Universidade Federal Do Rio Grande Do Sul (UFRGS), Porto Alegre, Brazil
| | - Andrea L Benedet
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at the University of Gothenburg, House V3/SU, 43180, Mölndal, Sweden
| | - Niklas Mattsson-Carlgren
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Department of Neurology, Skåne University Hospital, Lund, Sweden
- Wallenberg Center for Molecular Medicine, Lund University, Lund, Sweden
| | - Pontus Tideman
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, 20502, Malmö, Sweden
| | - Shorena Janelidze
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Sebastian Palmqvist
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Erik Stomrud
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, 20502, Malmö, Sweden
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at the University of Gothenburg, House V3/SU, 43180, Mölndal, Sweden
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Old Age Psychiatry, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK
- NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation, London, UK
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at the University of Gothenburg, House V3/SU, 43180, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London, London, UK
- UK Dementia Research Institute, University College London, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at the University of Gothenburg, House V3/SU, 43180, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.
- Memory Clinic, Skåne University Hospital, 20502, Malmö, Sweden.
| |
Collapse
|
4
|
Cisterna-García A, Beric A, Ali M, Pardo JA, Chen HH, Fernandez MV, Norton J, Gentsch J, Bergmann K, Budde J, Perlmutter JS, Morris JC, Cruchaga C, Botia JA, Ibanez L. Cell-free RNA signatures predict Alzheimer's disease. iScience 2023; 26:108534. [PMID: 38089583 PMCID: PMC10711471 DOI: 10.1016/j.isci.2023.108534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 11/09/2023] [Accepted: 11/20/2023] [Indexed: 02/01/2024] Open
Abstract
There is a need for affordable, scalable, and specific blood-based biomarkers for Alzheimer's disease that can be applied to a population level. We have developed and validated disease-specific cell-free transcriptomic blood-based biomarkers composed by a scalable number of transcripts that capture AD pathobiology even in the presymptomatic stages of the disease. Accuracies are in the range of the current CSF and plasma biomarkers, and specificities are high against other neurodegenerative diseases.
Collapse
Affiliation(s)
- Alejandro Cisterna-García
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- Departamento de Ingeniería de la Información y las Comunicaciones, Universidad de Murcia, Murcia, Spain
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Aleksandra Beric
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Muhammad Ali
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Jose Adrian Pardo
- Departamento de Ingeniería de la Información y las Comunicaciones, Universidad de Murcia, Murcia, Spain
| | - Hsiang-Han Chen
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Maria Victoria Fernandez
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Joanne Norton
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- The Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University in Saint Louis, Saint Louis, MO, USA
| | - Jen Gentsch
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- The Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University in Saint Louis, Saint Louis, MO, USA
| | - Kristy Bergmann
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - John Budde
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Joel S. Perlmutter
- Department of Neurology, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- Hope Center for Neurological Disorders, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- Department of Radiology, Neuroscience, Physical Therapy, and Occupational Therapy, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - John C. Morris
- The Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University in Saint Louis, Saint Louis, MO, USA
- Department of Neurology, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- Department of Pathology and Immunology, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- The Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University in Saint Louis, Saint Louis, MO, USA
- Department of Neurology, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- Hope Center for Neurological Disorders, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- Department of Genetics, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Juan A. Botia
- Departamento de Ingeniería de la Información y las Comunicaciones, Universidad de Murcia, Murcia, Spain
| | - Laura Ibanez
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- Department of Neurology, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| |
Collapse
|
5
|
Er Zeybekler S. Polydopamine-coated hexagonal boron nitride-based electrochemical immunosensing of T-Tau as a marker of Alzheimer's disease. Bioelectrochemistry 2023; 154:108552. [PMID: 37651881 DOI: 10.1016/j.bioelechem.2023.108552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 08/02/2023] [Accepted: 08/26/2023] [Indexed: 09/02/2023]
Abstract
Alzheimer's disease (AD) is a complex pathological process that is one of the leading causes of dementia globally. The demand for diagnostic tools that are minimally invasive, timely, and accurate is on the rise. Total tau (T-Tau) protein in blood serum is a promising biomarker for predicting early-stage AD diagnosis. In this study, the hexagonal boron nitride (HBN) based immunosensor platform was developed to detect T-Tau in artificial blood serum. After the exfoliation of HBN, its surface was coated with polydopamine (PDA) in alkaline conditions. The Anti-T-Tau was immobilized on a hydrophilic nanocomposite surface using PDA's reactive catechol and quinone groups, eliminating the need for extra crosslinkers. The working electrode surface of the screen-printed carbon electrode (SPCE) was coated with HBN-PDA nanocomposite using the drop-casting method. The biofunctional surface was created by directly immobilizing Anti-T-Tau on the HBN-PDA nanocomposite-modified SPCE. The analytical performance of the HBN-PDA/Anti-T-Tau/T-Tau immunosensor in the presence of T-Tau isoforms was determined through electrochemical measurements. The linear detection range was 1-30 pg/mL with a detection limit of 0.42 pg/mL for T-Tau, which is suitable for detecting T-Tau in the blood serum.
Collapse
Affiliation(s)
- Simge Er Zeybekler
- Ege University, Faculty of Science Biochemistry Department, 35100 Bornova-Izmir, Turkey
| |
Collapse
|
6
|
Blaber AP, Sadeghian F, Naz Divsalar D, Scarisbrick IA. Elevated biomarkers of neural injury in older adults following head-down bed rest: links to cardio-postural deconditioning with spaceflight and aging. Front Hum Neurosci 2023; 17:1208273. [PMID: 37822710 PMCID: PMC10562592 DOI: 10.3389/fnhum.2023.1208273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 08/29/2023] [Indexed: 10/13/2023] Open
Abstract
Introduction Prolonged physical inactivity with bed rest or spaceflight is associated with cardiovascular and neuromuscular deconditioning; however, its impact on neural integrity of cardio-postural reflexes and possible mitigation with exercise has not been examined. We assessed the association between the physiological deconditioning of bed rest immobilization with neural injury markers and the effects of 60-75 min of daily exercise. Methods Data were collected as part of a randomized clinical trial (clinicaltrials.gov identifier: NCT04964999) at the McGill University Medical Centre. Twenty-two 55- to 65-year-old healthy volunteers gave informed consent and took part. Within sex, participants were randomly assigned to exercise (60- to 75-min daily) or control (inactive) groups and spent 14 days in continuous 6° head-down tilt. Neural injury [neurofilament light chain (NfL), glial fibrillary acidic protein (GFAP), total tau (t-Tau), myelin basic protein (MBP), brain-derived neurotrophic factor (BDNF), ubiquitin carboxy-terminal hydrolase L1 (UCH-L1)], as well as interleukin-6 (IL-6), tumor necrosis factor alpha (TNF-α), and insulin-like growth factor 1 (IGF-1) biomarkers were measured before, during, and after bed rest. The false discovery rate with Huber M-estimation was used to correlate changes in biomarkers with cardiovascular and muscular function changes over bed rest. Results Bed rest elevated NfL, GFAP, TNF-α, and IL-6 in all participants and reduced IGF-1 in females only. With standing, changes in heart rate, blood pressure, and lower limb muscle motoneuron activity correlated with changes in TNF-α and BDNF. Baroreflex control, leg muscle maximal voluntary contraction, and postural sway are correlated with GFAP and NfL. Exercise participants had fewer interactions than control participants, but significant correlations still existed, with both groups exhibiting similar reductions in orthostatic tolerance. Discussion An hour of daily exercise in older persons otherwise immobilized for 2 weeks did not abate bed rest-induced increases in serum signatures of neural injury or pro-inflammatory markers. Exercise reduced the number of physiological interactions of biomarkers, but significant cardio-postural correlations remained with no protection against post-bed rest orthostatic intolerance. The identification of associations of inflammatory and neural injury biomarkers with changes in cardio-postural physiology and exercise points to biotherapeutic opportunities and improved exercise interventions for astronauts and individuals in bed rest. Clinical trial registration https://www.clinicaltrials.gov/search?cond=NCT04964999, identifier: NCT04964999.
Collapse
Affiliation(s)
- Andrew P. Blaber
- Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada
| | - Farshid Sadeghian
- Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada
| | - Donya Naz Divsalar
- Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada
| | - Isobel A. Scarisbrick
- Department of Physical Medicine and Rehabilitation, Center for Regenerative Biotherapeutics, Mayo Clinic, Rochester, MN, United States
| |
Collapse
|
7
|
Willis BA, Lo AC, Dage JL, Shcherbinin S, Chinchen L, Andersen SW, LaBell ES, Perahia DG, Hauck PM, Lowe SL. Safety, Tolerability, and Pharmacokinetics of Zagotenemab in Participants with Symptomatic Alzheimer's Disease: A Phase I Clinical Trial. J Alzheimers Dis Rep 2023; 7:1015-1024. [PMID: 37849628 PMCID: PMC10578324 DOI: 10.3233/adr-230012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 08/16/2023] [Indexed: 10/19/2023] Open
Abstract
Background Zagotenemab (LY3303560), a monoclonal antibody, preferentially binds to extracellular, misfolded, aggregated tau that has been implicated in Alzheimer's disease (AD). Objective The goal of this study was to assess the safety and pharmacokinetics of multiple doses of zagotenemab in participants with AD. Methods This was a Phase Ib, multi-site, participant- and investigator-blind, placebo-controlled, parallel-group study in participants with mild cognitive impairment due to AD or mild to moderate AD. After screening, participants were randomized to zagotenemab 70 mg, 210 mg, or placebo every 4 weeks for up to 49 weeks and were followed up for 16 weeks. Results A total of 13 males and 9 females, aged 59 to 84 years, were dosed. No deaths occurred during this study. A total of 4 serious adverse events occurred in 2 participants who then discontinued the study. The most commonly reported (3 or more participants) treatment-emergent adverse events were sinus bradycardia, headache, fall, and bronchitis. The pharmacokinetics profile showed generally linear exposures across the dose range studied with a clearance of ~8 mL/h. The half-life of zagotenemab in serum was ~20 days. A dose-dependent increase in plasma tau was observed. No other significant pharmacodynamic differences were observed due to low dose levels and limited treatment duration. Conclusions No dose-limiting adverse events were observed with zagotenemab treatment. Pharmacokinetics of zagotenemab were typical for a monoclonal antibody. Meaningful pharmacodynamic differences were not observed.Clinicaltrials.gov: NCT03019536.
Collapse
Affiliation(s)
- Brian A. Willis
- Work Completed While an Employee of Eli Lilly and Company. Current Affiliation: Eisai Inc., Nutley, NJ, USA
| | - Albert C. Lo
- Work Completed While an Employee of Eli Lilly and Company
| | - Jeffrey L. Dage
- Work Completed While an Employee of Eli Lilly and Company. Current Affiliation: Indiana University School of Medicine, Indianapolis, IN, USA
| | | | | | | | | | | | | | | |
Collapse
|
8
|
Vila-Castelar C, Chen Y, Langella S, Lopera F, Zetterberg H, Hansson O, Dage JL, Janelidzde S, Su Y, Chen K, McDowell CP, Martinez JE, Ramirez-Gomez L, Garcia G, Aguillon D, Baena A, Giraldo-Chica M, Protas HD, Ghisays V, Rios-Romenets S, Tariot PN, Blennow K, Reiman EM, Quiroz YT. Sex differences in blood biomarkers and cognitive performance in individuals with autosomal dominant Alzheimer's disease. Alzheimers Dement 2023; 19:4127-4138. [PMID: 37279390 PMCID: PMC10527358 DOI: 10.1002/alz.13314] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 05/05/2023] [Accepted: 05/09/2023] [Indexed: 06/08/2023]
Abstract
INTRODUCTION Plasma tau phosphorylated at threonine 217 (P-tau217) and neurofilament light (NfL) have emerged as markers of Alzheimer's disease (AD) pathology. Few studies have examined the role of sex in plasma biomarkers in sporadic AD, yielding mixed findings, and none in autosomal dominant AD. METHODS We examined the effects of sex and age on plasma P-tau217 and NfL, and their association with cognitive performance in a cross-sectional study of 621 Presenilin-1 E280A mutation carriers (PSEN1) and non-carriers. RESULTS As plasma P-tau217 levels increase, cognitively unimpaired female carriers showed better cognitive performance than cognitively unimpaired male carriers. Yet, as disease progresses, female carriers had a greater plasma NfL increase than male carriers. There were no sex differences in the association between age and plasma biomarkers among non-carriers. DISCUSSION Our findings suggest that, among PSEN1 mutation carriers, females had a greater rate of neurodegeneration than males, yet it did not predict cognitive performance. HIGHLIGHTS We examined sex differences in plasma P-tau217 and NfL in Presenilin-1 E280A (PSEN1) mutation carriers and non-carriers. Female carriers had a greater plasma NfL increase, but not P-tau217, than male carriers. As plasma P-tau217 levels increase, cognitively unimpaired female carriers showed better cognitive performance than cognitively unimpaired male carriers. The interaction effect of sex by plasma NfL levels did not predict cognition among carriers.
Collapse
Affiliation(s)
- Clara Vila-Castelar
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02129, USA
| | - Yinghua Chen
- Banner Alzheimer’s Institute, Phoenix, AZ, 85718, USA
| | - Stephanie Langella
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02129, USA
| | - Francisco Lopera
- Grupo de Neurociencias de Antioquia, Universidad de Antioquia, Medellin, 1226, Colombia
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, 405 30, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, 405 30, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
- UK Dementia Research Institute at UCL, London, WC1E 6BT, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
| | - Oskar Hansson
- Memory Clinic, Skåne University Hospital, Malmö, 214 28, Sweden
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, 205 02, Sweden
| | - Jeffrey L. Dage
- Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | | | - Yi Su
- Banner Alzheimer’s Institute, Phoenix, AZ, 85718, USA
| | - Kewei Chen
- Banner Alzheimer’s Institute, Phoenix, AZ, 85718, USA
| | - Celina Pluim McDowell
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02129, USA
- Department of Psychological and Brain Sciences, Boston University, Boston, 02215, MA
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, 02115, MA
| | - Jairo E. Martinez
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02129, USA
- Department of Psychological and Brain Sciences, Boston University, Boston, 02215, MA
| | | | - Gloria Garcia
- Grupo de Neurociencias de Antioquia, Universidad de Antioquia, Medellin, 1226, Colombia
| | - David Aguillon
- Grupo de Neurociencias de Antioquia, Universidad de Antioquia, Medellin, 1226, Colombia
| | - Ana Baena
- Grupo de Neurociencias de Antioquia, Universidad de Antioquia, Medellin, 1226, Colombia
| | | | | | | | - Silvia Rios-Romenets
- Grupo de Neurociencias de Antioquia, Universidad de Antioquia, Medellin, 1226, Colombia
| | | | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, 405 30, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, 405 30, Sweden
| | | | - Yakeel T. Quiroz
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02129, USA
- Grupo de Neurociencias de Antioquia, Universidad de Antioquia, Medellin, 1226, Colombia
| |
Collapse
|
9
|
Kesler SR, Henneghan AM, Prinsloo S, Palesh O, Wintermark M. Neuroimaging based biotypes for precision diagnosis and prognosis in cancer-related cognitive impairment. Front Med (Lausanne) 2023; 10:1199605. [PMID: 37720513 PMCID: PMC10499624 DOI: 10.3389/fmed.2023.1199605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 08/15/2023] [Indexed: 09/19/2023] Open
Abstract
Cancer related cognitive impairment (CRCI) is commonly associated with cancer and its treatments, yet the present binary diagnostic approach fails to capture the full spectrum of this syndrome. Cognitive function is highly complex and exists on a continuum that is poorly characterized by dichotomous categories. Advanced statistical methodologies applied to symptom assessments have demonstrated that there are multiple subclasses of CRCI. However, studies suggest that relying on symptom assessments alone may fail to account for significant differences in the neural mechanisms that underlie a specific cognitive phenotype. Treatment plans that address the specific physiologic mechanisms involved in an individual patient's condition is the heart of precision medicine. In this narrative review, we discuss how biotyping, a precision medicine framework being utilized in other mental disorders, could be applied to CRCI. Specifically, we discuss how neuroimaging can be used to determine biotypes of CRCI, which allow for increased precision in prediction and diagnosis of CRCI via biologic mechanistic data. Biotypes may also provide more precise clinical endpoints for intervention trials. Biotyping could be made more feasible with proxy imaging technologies or liquid biomarkers. Large cross-sectional phenotyping studies are needed in addition to evaluation of longitudinal trajectories, and data sharing/pooling is highly feasible with currently available digital infrastructures.
Collapse
Affiliation(s)
- Shelli R. Kesler
- Division of Adult Health, School of Nursing, The University of Texas at Austin, Austin, TX, United States
- Department of Diagnostic Medicine, Dell School of Medicine, The University of Texas at Austin, Austin, TX, United States
- Department of Oncology, Dell School of Medicine, The University of Texas at Austin, Austin, TX, United States
| | - Ashley M. Henneghan
- Division of Adult Health, School of Nursing, The University of Texas at Austin, Austin, TX, United States
- Department of Oncology, Dell School of Medicine, The University of Texas at Austin, Austin, TX, United States
| | - Sarah Prinsloo
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Oxana Palesh
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, United States
| | - Max Wintermark
- Department of Neuroradiology, The University of Texas MD Anderson Cancer, Houston, TX, United States
| |
Collapse
|
10
|
Ziegler T, Tsiountsioura M, Meixner-Goetz L, Cvirn G, Lamprecht M. Polyphenols' Impact on Selected Biomarkers of Brain Aging in Healthy Middle-Aged and Elderly Subjects: A Review of Clinical Trials. Nutrients 2023; 15:3770. [PMID: 37686802 PMCID: PMC10490411 DOI: 10.3390/nu15173770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 08/25/2023] [Accepted: 08/25/2023] [Indexed: 09/10/2023] Open
Abstract
With a constantly growing elderly population, incidences of neurodegenerative diseases are also rising and are expected to further increase over the next years, while costing health systems across the world trillions of dollars. Therefore, biomarkers to detect manifestations of brain aging early and interventions to slow down its pace are of great interest. In the last years, the importance of the neurotrophins brain-derived neurotrophic factor (BDNF) and nerve growth factor (NGF) in the context of cognitive function and the aging brain has increased, besides the already well-established amyloid-beta (Aβ) and tau plaques. Due to their wide range of beneficial health effects as well as their antioxidant and anti-inflammatory properties, a class of secondary plant-metabolites, the so-called polyphenols, gained increasing attention. In this review, we discuss the roles of BDNF, Aβ, NGF, and tau proteins as biomarkers of brain aging and the effect of dietary polyphenol interventions on these biomarkers, assessed via blood analysis, magnetic resonance imaging (MRI), and positron emission tomography (PET).
Collapse
Affiliation(s)
- Tobias Ziegler
- Division of Medicinal Chemistry, Otto Loewi Research Center, Medical University of Graz, 8010 Graz, Austria; (T.Z.); (M.T.); (G.C.)
- Juice Plus+ Science Institute, Memphis, TN 38017, USA;
| | - Melina Tsiountsioura
- Division of Medicinal Chemistry, Otto Loewi Research Center, Medical University of Graz, 8010 Graz, Austria; (T.Z.); (M.T.); (G.C.)
- Juice Plus+ Science Institute, Memphis, TN 38017, USA;
| | | | - Gerhard Cvirn
- Division of Medicinal Chemistry, Otto Loewi Research Center, Medical University of Graz, 8010 Graz, Austria; (T.Z.); (M.T.); (G.C.)
| | - Manfred Lamprecht
- Juice Plus+ Science Institute, Memphis, TN 38017, USA;
- Green Beat Institute of Nutrient Research, 8010 Graz, Austria
| |
Collapse
|
11
|
Gokce M, Velioglu HA, Bektay MY, Guler EM. Evaluating the Clinical Significance of Diazepam Binding Inhibitor in Alzheimer's Disease: A Comparison with Inflammatory, Oxidative, and Neurodegenerative Biomarkers. Gerontology 2023; 69:1104-1112. [PMID: 37607528 DOI: 10.1159/000531849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 06/26/2023] [Indexed: 08/24/2023] Open
Abstract
INTRODUCTION Alzheimer's disease (AD) is one of the pathologies that the scientific world is still desperate for. The aim of this study was the investigation of diazepam binding inhibitor (DBI) as a prognostic factor for AD prognosis. METHODS A total of 120 participants were divided into 3 groups. Forty new diagnosed Alzheimer patients (NDG) who have been diagnosed but have not started AD treatment, 40 patients who diagnosed 5 years ago (D5YG), and 40 healthy control groups (CG) were included in the study. Levels of DBI, oxidative stress, inflammatory, and neurodegenerative biomarkers were compared between 3 groups. RESULTS Plasma levels of DBI, oligomeric Aβ, total tau, glial fibrillary acidic protein, α-synuclein, interleukin (IL) 1β, IL6, tumor necrosis factor α, oxidative stress index, high-sensitive C-reactive protein, and DNA damage were found higher in D5YG and NDG as compared to CG (p < 0.001). On the contrary, plasma levels of total thiol, native thiol, vitamin D and vitamin B12 were lower in D5YG and NDG as compared to CG (p < 0.001). DISCUSSION DBI may be a potential plasma biomarker and promising drug target for AD. It could help physicians make a comprehensive evaluation with cognitive and neurodegenerative tests.
Collapse
Affiliation(s)
- Mustafa Gokce
- Department of Pharmacology, Bezmialem Vakif University School of Pharmacy, Istanbul, Turkey
- Department of Pharmacology, Institute of Health Sciences, Istanbul University, Istanbul, Turkey
| | - Halil Aziz Velioglu
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, New York, USA
- Functional Imaging and Cognitive-Affective Neuroscience Lab (fINCAN), Health Sciences and Technology Research Institute (SABITA), Regenerative and Restorative Medicine Research Center (REMER), Istanbul Medipol University, Istanbul, Turkey
| | - Muhammed Yunus Bektay
- Department of Clinical Pharmacy, Bezmialem Vakif University School of Pharmacy, Istanbul, Turkey
| | - Eray Metin Guler
- Department of Medical Biochemistry, Faculty of Hamidiye Medicine, University of Health Sciences, Istanbul, Turkey
| |
Collapse
|
12
|
Pais MV, Forlenza OV, Diniz BS. Plasma Biomarkers of Alzheimer's Disease: A Review of Available Assays, Recent Developments, and Implications for Clinical Practice. J Alzheimers Dis Rep 2023; 7:355-380. [PMID: 37220625 PMCID: PMC10200198 DOI: 10.3233/adr-230029] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 04/03/2023] [Indexed: 05/25/2023] Open
Abstract
Recently, low-sensitive plasma assays have been replaced by new ultra-sensitive assays such as single molecule enzyme-linked immunosorbent assay (Simoa), the Mesoscale Discovery (MSD) platform, and immunoprecipitation-mass spectrometry (IP-MS) with higher accuracy in the determination of plasma biomarkers of Alzheimer's disease (AD). Despite the significant variability, many studies have established in-house cut-off values for the most promising available biomarkers. We first reviewed the most used laboratory methods and assays to measure plasma AD biomarkers. Next, we review studies focused on the diagnostic performance of these biomarkers to identify AD cases, predict cognitive decline in pre-clinical AD cases, and differentiate AD cases from other dementia. We summarized data from studies published until January 2023. A combination of plasma Aβ42/40 ratio, age, and APOE status showed the best accuracy in diagnosing brain amyloidosis with a liquid chromatography-mass spectrometry (LC-MS) assay. Plasma p-tau217 has shown the best accuracy in distinguishing Aβ-PET+ from Aβ-PET-even in cognitively unimpaired individuals. We also summarized the different cut-off values for each biomarker when available. Recently developed assays for plasma biomarkers have undeniable importance in AD research, with improved analytical and diagnostic performance. Some biomarkers have been extensively used in clinical trials and are now clinically available. Nonetheless, several challenges remain to their widespread use in clinical practice.
Collapse
Affiliation(s)
- Marcos V. Pais
- UConn Center on Aging, University of Connecticut Health Center, Farmington, CT, USA
- Laboratory of Neuroscience (LIM-27), Departamento e Instituto de Psiquiatria, Faculdade de Medicina, Universidade de Sao Paulo (FMUSP), Sao Paulo, SP, Brazil
| | - Orestes V. Forlenza
- Laboratory of Neuroscience (LIM-27), Departamento e Instituto de Psiquiatria, Faculdade de Medicina, Universidade de Sao Paulo (FMUSP), Sao Paulo, SP, Brazil
| | - Breno S. Diniz
- UConn Center on Aging, University of Connecticut Health Center, Farmington, CT, USA
| |
Collapse
|
13
|
Kivisäkk P, Carlyle BC, Sweeney T, Trombetta BA, LaCasse K, El-Mufti L, Tuncali I, Chibnik LB, Das S, Scherzer CR, Johnson KA, Dickerson BC, Gomez-Isla T, Blacker D, Oakley DH, Frosch MP, Hyman BT, Aghvanyan A, Bathala P, Campbell C, Sigal G, Stengelin M, Arnold SE. Plasma biomarkers for diagnosis of Alzheimer's disease and prediction of cognitive decline in individuals with mild cognitive impairment. Front Neurol 2023; 14:1069411. [PMID: 36937522 PMCID: PMC10018178 DOI: 10.3389/fneur.2023.1069411] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 02/10/2023] [Indexed: 03/06/2023] Open
Abstract
Background The last few years have seen major advances in blood biomarkers for Alzheimer's Disease (AD) with the development of ultrasensitive immunoassays, promising to transform how we diagnose, prognose, and track progression of neurodegenerative dementias. Methods We evaluated a panel of four novel ultrasensitive electrochemiluminescence (ECL) immunoassays against presumed CNS derived proteins of interest in AD in plasma [phosphorylated-Tau181 (pTau181), total Tau (tTau), neurofilament light (NfL), and glial fibrillary acidic protein (GFAP)]. Two sets of banked plasma samples from the Massachusetts Alzheimer's Disease Research Center's longitudinal cohort study were examined: A longitudinal prognostic sample (n = 85) consisting of individuals with mild cognitive impairment (MCI) and 4 years of follow-up and a cross-sectional sample (n = 238) consisting of individuals with AD, other neurodegenerative diseases (OND), and normal cognition (CN). Results Participants with MCI who progressed to dementia due to probable AD during follow-up had higher baseline plasma concentrations of pTau181, NfL, and GFAP compared to non-progressors. The best prognostic discrimination was observed with pTau181 (AUC = 0.83, 1.7-fold increase) and GFAP (AUC = 0.83, 1.6-fold increase). Participants with autopsy- and/or biomarker verified AD had higher plasma levels of pTau181, tTau and GFAP compared to CN and OND, while NfL was elevated in AD and further increased in OND. The best diagnostic discrimination was observed with pTau181 (AD vs CN: AUC = 0.90, 2-fold increase; AD vs. OND: AUC = 0.84, 1.5-fold increase) but tTau, NfL, and GFAP also showed good discrimination between AD and CN (AUC = 0.81-0.85; 1.5-2.2 fold increase). Conclusions These new ultrasensitive ECL plasma assays for pTau181, tTau, NfL, and GFAP demonstrated diagnostic utility for detection of AD. Moreover, the absolute baseline plasma levels of pTau181 and GFAP reflect cognitive decline over the next 4 years, providing prognostic information that may have utility in both clinical practice and clinical trial populations.
Collapse
Affiliation(s)
- Pia Kivisäkk
- Alzheimer's Clinical and Translational Research Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Becky C. Carlyle
- Alzheimer's Clinical and Translational Research Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, United Kingdom
| | - Thadryan Sweeney
- Alzheimer's Clinical and Translational Research Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Bianca A. Trombetta
- Alzheimer's Clinical and Translational Research Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Kathryn LaCasse
- Alzheimer's Clinical and Translational Research Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Leena El-Mufti
- Alzheimer's Clinical and Translational Research Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Idil Tuncali
- Precision Neurology Program and Center for Advanced Parkinson Research, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, United States
| | - Lori B. Chibnik
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, United States
| | - Sudeshna Das
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Clemens R. Scherzer
- Precision Neurology Program and Center for Advanced Parkinson Research, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, United States
| | - Keith A. Johnson
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Bradford C. Dickerson
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Teresa Gomez-Isla
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Deborah Blacker
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Derek H. Oakley
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Matthew P. Frosch
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Bradley T. Hyman
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | | | | | | | - George Sigal
- Meso Scale Diagnostics, LLC., Rockville, MD, United States
| | | | - Steven E. Arnold
- Alzheimer's Clinical and Translational Research Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| |
Collapse
|
14
|
Hayes JP, Pierce ME, Brown E, Salat D, Logue MW, Constantinescu J, Valerio K, Miller MW, Sherva R, Huber BR, Milberg W, McGlinchey R. Genetic Risk for Alzheimer Disease and Plasma Tau Are Associated With Accelerated Parietal Cortex Thickness Change in Middle-Aged Adults. Neurol Genet 2023; 9:e200053. [PMID: 36742995 PMCID: PMC9893442 DOI: 10.1212/nxg.0000000000200053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 11/21/2022] [Indexed: 02/04/2023]
Abstract
Background and Objectives Neuroimaging and biomarker studies in Alzheimer disease (AD) have shown well-characterized patterns of cortical thinning and altered biomarker concentrations of tau and β-amyloid (Aβ). However, earlier identification of AD has great potential to advance clinical care and determine candidates for drug trials. The extent to which AD risk markers relate to cortical thinning patterns in midlife is unknown. The first objective of this study was to examine cortical thickness change associated with genetic risk for AD among middle-aged military veterans. The second objective was to determine the relationship between plasma tau and Aβ and change in brain cortical thickness among veterans stratified by genetic risk for AD. Methods Participants consisted of post-9/11 veterans (N = 155) who were consecutively enrolled in the Translational Research Center for TBI and Stress Disorders prospective longitudinal cohort and were assessed for mild traumatic brain injury (TBI) and posttraumatic disorder (PTSD). Genome-wide polygenic risk scores (PRSs) for AD were calculated using summary results from the International Genomics of Alzheimer's Disease Project. T-tau and Aβ40 and Aβ42 plasma assays were run using Simoa technology. Whole-brain MRI cortical thickness change estimates were obtained using the longitudinal stream of FreeSurfer. Follow-up moderation analyses examined the AD PRS × plasma interaction on change in cortical thickness in AD-vulnerable regions. Results Higher AD PRS, signifying greater genetic risk for AD, was associated with accelerated cortical thickness change in a right hemisphere inferior parietal cortex cluster that included the supramarginal gyrus, angular gyrus, and intraparietal sulcus. Higher tau, but not Aβ42/40 ratio, was associated with greater cortical thickness change among those with higher AD PRS. Mild TBI and PTSD were not associated with cortical thickness change. Discussion Plasma tau, particularly when combined with genetic stratification for AD risk, can be a useful indicator of brain change in midlife. Accelerated inferior parietal cortex changes in midlife may be an important factor to consider as a marker of AD-related brain alterations.
Collapse
Affiliation(s)
- Jasmeet Pannu Hayes
- Department of Psychology (J.P.H., K.V.), The Ohio State University, & Chronic Brain Injury Program, The Ohio State University, Columbus; Translational Research Center for TBI and Stress Disorders (TRACTS) (M.E.P., E.B., D.S., J.C., W.M., R.M.), VA Boston Healthcare System, MA; Department of Psychiatry (M.E.P., M.W.L., M.W.M., B.R.H.), Boston University School of Medicine, MA; Neuroimaging Research for Veterans (NeRVe) Center (E.B., D.S., J.C., W.M., R.M.), VA Boston Healthcare System, MA; Brain Aging and Dementia (BAnD) Laboratory (D.S.), A. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown; National Center for PTSD (M.W.L., M.W.M., B.R.H.), Behavioral Sciences Division, VA Boston Healthcare System, MA; Boston University School of Medicine (M.W.L., R.S.), Biomedical Genetics, MA; Boston University School of Public Health (M.W.L.), Department of Biostatistics, MA; Department of Neurology (B.R.H.), Boston University School of Medicine, MA; Geriatric Research (W.M., R.M.), Education, and Clinical Center (GRECC), VA Boston Healthcare System, MA; and Department of Psychiatry (W.M., R.M.), Harvard Medical School, Boston, MA
| | - Meghan E Pierce
- Department of Psychology (J.P.H., K.V.), The Ohio State University, & Chronic Brain Injury Program, The Ohio State University, Columbus; Translational Research Center for TBI and Stress Disorders (TRACTS) (M.E.P., E.B., D.S., J.C., W.M., R.M.), VA Boston Healthcare System, MA; Department of Psychiatry (M.E.P., M.W.L., M.W.M., B.R.H.), Boston University School of Medicine, MA; Neuroimaging Research for Veterans (NeRVe) Center (E.B., D.S., J.C., W.M., R.M.), VA Boston Healthcare System, MA; Brain Aging and Dementia (BAnD) Laboratory (D.S.), A. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown; National Center for PTSD (M.W.L., M.W.M., B.R.H.), Behavioral Sciences Division, VA Boston Healthcare System, MA; Boston University School of Medicine (M.W.L., R.S.), Biomedical Genetics, MA; Boston University School of Public Health (M.W.L.), Department of Biostatistics, MA; Department of Neurology (B.R.H.), Boston University School of Medicine, MA; Geriatric Research (W.M., R.M.), Education, and Clinical Center (GRECC), VA Boston Healthcare System, MA; and Department of Psychiatry (W.M., R.M.), Harvard Medical School, Boston, MA
| | - Emma Brown
- Department of Psychology (J.P.H., K.V.), The Ohio State University, & Chronic Brain Injury Program, The Ohio State University, Columbus; Translational Research Center for TBI and Stress Disorders (TRACTS) (M.E.P., E.B., D.S., J.C., W.M., R.M.), VA Boston Healthcare System, MA; Department of Psychiatry (M.E.P., M.W.L., M.W.M., B.R.H.), Boston University School of Medicine, MA; Neuroimaging Research for Veterans (NeRVe) Center (E.B., D.S., J.C., W.M., R.M.), VA Boston Healthcare System, MA; Brain Aging and Dementia (BAnD) Laboratory (D.S.), A. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown; National Center for PTSD (M.W.L., M.W.M., B.R.H.), Behavioral Sciences Division, VA Boston Healthcare System, MA; Boston University School of Medicine (M.W.L., R.S.), Biomedical Genetics, MA; Boston University School of Public Health (M.W.L.), Department of Biostatistics, MA; Department of Neurology (B.R.H.), Boston University School of Medicine, MA; Geriatric Research (W.M., R.M.), Education, and Clinical Center (GRECC), VA Boston Healthcare System, MA; and Department of Psychiatry (W.M., R.M.), Harvard Medical School, Boston, MA
| | - David Salat
- Department of Psychology (J.P.H., K.V.), The Ohio State University, & Chronic Brain Injury Program, The Ohio State University, Columbus; Translational Research Center for TBI and Stress Disorders (TRACTS) (M.E.P., E.B., D.S., J.C., W.M., R.M.), VA Boston Healthcare System, MA; Department of Psychiatry (M.E.P., M.W.L., M.W.M., B.R.H.), Boston University School of Medicine, MA; Neuroimaging Research for Veterans (NeRVe) Center (E.B., D.S., J.C., W.M., R.M.), VA Boston Healthcare System, MA; Brain Aging and Dementia (BAnD) Laboratory (D.S.), A. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown; National Center for PTSD (M.W.L., M.W.M., B.R.H.), Behavioral Sciences Division, VA Boston Healthcare System, MA; Boston University School of Medicine (M.W.L., R.S.), Biomedical Genetics, MA; Boston University School of Public Health (M.W.L.), Department of Biostatistics, MA; Department of Neurology (B.R.H.), Boston University School of Medicine, MA; Geriatric Research (W.M., R.M.), Education, and Clinical Center (GRECC), VA Boston Healthcare System, MA; and Department of Psychiatry (W.M., R.M.), Harvard Medical School, Boston, MA
| | - Mark W Logue
- Department of Psychology (J.P.H., K.V.), The Ohio State University, & Chronic Brain Injury Program, The Ohio State University, Columbus; Translational Research Center for TBI and Stress Disorders (TRACTS) (M.E.P., E.B., D.S., J.C., W.M., R.M.), VA Boston Healthcare System, MA; Department of Psychiatry (M.E.P., M.W.L., M.W.M., B.R.H.), Boston University School of Medicine, MA; Neuroimaging Research for Veterans (NeRVe) Center (E.B., D.S., J.C., W.M., R.M.), VA Boston Healthcare System, MA; Brain Aging and Dementia (BAnD) Laboratory (D.S.), A. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown; National Center for PTSD (M.W.L., M.W.M., B.R.H.), Behavioral Sciences Division, VA Boston Healthcare System, MA; Boston University School of Medicine (M.W.L., R.S.), Biomedical Genetics, MA; Boston University School of Public Health (M.W.L.), Department of Biostatistics, MA; Department of Neurology (B.R.H.), Boston University School of Medicine, MA; Geriatric Research (W.M., R.M.), Education, and Clinical Center (GRECC), VA Boston Healthcare System, MA; and Department of Psychiatry (W.M., R.M.), Harvard Medical School, Boston, MA
| | - Julie Constantinescu
- Department of Psychology (J.P.H., K.V.), The Ohio State University, & Chronic Brain Injury Program, The Ohio State University, Columbus; Translational Research Center for TBI and Stress Disorders (TRACTS) (M.E.P., E.B., D.S., J.C., W.M., R.M.), VA Boston Healthcare System, MA; Department of Psychiatry (M.E.P., M.W.L., M.W.M., B.R.H.), Boston University School of Medicine, MA; Neuroimaging Research for Veterans (NeRVe) Center (E.B., D.S., J.C., W.M., R.M.), VA Boston Healthcare System, MA; Brain Aging and Dementia (BAnD) Laboratory (D.S.), A. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown; National Center for PTSD (M.W.L., M.W.M., B.R.H.), Behavioral Sciences Division, VA Boston Healthcare System, MA; Boston University School of Medicine (M.W.L., R.S.), Biomedical Genetics, MA; Boston University School of Public Health (M.W.L.), Department of Biostatistics, MA; Department of Neurology (B.R.H.), Boston University School of Medicine, MA; Geriatric Research (W.M., R.M.), Education, and Clinical Center (GRECC), VA Boston Healthcare System, MA; and Department of Psychiatry (W.M., R.M.), Harvard Medical School, Boston, MA
| | - Kate Valerio
- Department of Psychology (J.P.H., K.V.), The Ohio State University, & Chronic Brain Injury Program, The Ohio State University, Columbus; Translational Research Center for TBI and Stress Disorders (TRACTS) (M.E.P., E.B., D.S., J.C., W.M., R.M.), VA Boston Healthcare System, MA; Department of Psychiatry (M.E.P., M.W.L., M.W.M., B.R.H.), Boston University School of Medicine, MA; Neuroimaging Research for Veterans (NeRVe) Center (E.B., D.S., J.C., W.M., R.M.), VA Boston Healthcare System, MA; Brain Aging and Dementia (BAnD) Laboratory (D.S.), A. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown; National Center for PTSD (M.W.L., M.W.M., B.R.H.), Behavioral Sciences Division, VA Boston Healthcare System, MA; Boston University School of Medicine (M.W.L., R.S.), Biomedical Genetics, MA; Boston University School of Public Health (M.W.L.), Department of Biostatistics, MA; Department of Neurology (B.R.H.), Boston University School of Medicine, MA; Geriatric Research (W.M., R.M.), Education, and Clinical Center (GRECC), VA Boston Healthcare System, MA; and Department of Psychiatry (W.M., R.M.), Harvard Medical School, Boston, MA
| | - Mark W Miller
- Department of Psychology (J.P.H., K.V.), The Ohio State University, & Chronic Brain Injury Program, The Ohio State University, Columbus; Translational Research Center for TBI and Stress Disorders (TRACTS) (M.E.P., E.B., D.S., J.C., W.M., R.M.), VA Boston Healthcare System, MA; Department of Psychiatry (M.E.P., M.W.L., M.W.M., B.R.H.), Boston University School of Medicine, MA; Neuroimaging Research for Veterans (NeRVe) Center (E.B., D.S., J.C., W.M., R.M.), VA Boston Healthcare System, MA; Brain Aging and Dementia (BAnD) Laboratory (D.S.), A. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown; National Center for PTSD (M.W.L., M.W.M., B.R.H.), Behavioral Sciences Division, VA Boston Healthcare System, MA; Boston University School of Medicine (M.W.L., R.S.), Biomedical Genetics, MA; Boston University School of Public Health (M.W.L.), Department of Biostatistics, MA; Department of Neurology (B.R.H.), Boston University School of Medicine, MA; Geriatric Research (W.M., R.M.), Education, and Clinical Center (GRECC), VA Boston Healthcare System, MA; and Department of Psychiatry (W.M., R.M.), Harvard Medical School, Boston, MA
| | - Richard Sherva
- Department of Psychology (J.P.H., K.V.), The Ohio State University, & Chronic Brain Injury Program, The Ohio State University, Columbus; Translational Research Center for TBI and Stress Disorders (TRACTS) (M.E.P., E.B., D.S., J.C., W.M., R.M.), VA Boston Healthcare System, MA; Department of Psychiatry (M.E.P., M.W.L., M.W.M., B.R.H.), Boston University School of Medicine, MA; Neuroimaging Research for Veterans (NeRVe) Center (E.B., D.S., J.C., W.M., R.M.), VA Boston Healthcare System, MA; Brain Aging and Dementia (BAnD) Laboratory (D.S.), A. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown; National Center for PTSD (M.W.L., M.W.M., B.R.H.), Behavioral Sciences Division, VA Boston Healthcare System, MA; Boston University School of Medicine (M.W.L., R.S.), Biomedical Genetics, MA; Boston University School of Public Health (M.W.L.), Department of Biostatistics, MA; Department of Neurology (B.R.H.), Boston University School of Medicine, MA; Geriatric Research (W.M., R.M.), Education, and Clinical Center (GRECC), VA Boston Healthcare System, MA; and Department of Psychiatry (W.M., R.M.), Harvard Medical School, Boston, MA
| | - Bertrand Russell Huber
- Department of Psychology (J.P.H., K.V.), The Ohio State University, & Chronic Brain Injury Program, The Ohio State University, Columbus; Translational Research Center for TBI and Stress Disorders (TRACTS) (M.E.P., E.B., D.S., J.C., W.M., R.M.), VA Boston Healthcare System, MA; Department of Psychiatry (M.E.P., M.W.L., M.W.M., B.R.H.), Boston University School of Medicine, MA; Neuroimaging Research for Veterans (NeRVe) Center (E.B., D.S., J.C., W.M., R.M.), VA Boston Healthcare System, MA; Brain Aging and Dementia (BAnD) Laboratory (D.S.), A. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown; National Center for PTSD (M.W.L., M.W.M., B.R.H.), Behavioral Sciences Division, VA Boston Healthcare System, MA; Boston University School of Medicine (M.W.L., R.S.), Biomedical Genetics, MA; Boston University School of Public Health (M.W.L.), Department of Biostatistics, MA; Department of Neurology (B.R.H.), Boston University School of Medicine, MA; Geriatric Research (W.M., R.M.), Education, and Clinical Center (GRECC), VA Boston Healthcare System, MA; and Department of Psychiatry (W.M., R.M.), Harvard Medical School, Boston, MA
| | - William Milberg
- Department of Psychology (J.P.H., K.V.), The Ohio State University, & Chronic Brain Injury Program, The Ohio State University, Columbus; Translational Research Center for TBI and Stress Disorders (TRACTS) (M.E.P., E.B., D.S., J.C., W.M., R.M.), VA Boston Healthcare System, MA; Department of Psychiatry (M.E.P., M.W.L., M.W.M., B.R.H.), Boston University School of Medicine, MA; Neuroimaging Research for Veterans (NeRVe) Center (E.B., D.S., J.C., W.M., R.M.), VA Boston Healthcare System, MA; Brain Aging and Dementia (BAnD) Laboratory (D.S.), A. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown; National Center for PTSD (M.W.L., M.W.M., B.R.H.), Behavioral Sciences Division, VA Boston Healthcare System, MA; Boston University School of Medicine (M.W.L., R.S.), Biomedical Genetics, MA; Boston University School of Public Health (M.W.L.), Department of Biostatistics, MA; Department of Neurology (B.R.H.), Boston University School of Medicine, MA; Geriatric Research (W.M., R.M.), Education, and Clinical Center (GRECC), VA Boston Healthcare System, MA; and Department of Psychiatry (W.M., R.M.), Harvard Medical School, Boston, MA
| | - Regina McGlinchey
- Department of Psychology (J.P.H., K.V.), The Ohio State University, & Chronic Brain Injury Program, The Ohio State University, Columbus; Translational Research Center for TBI and Stress Disorders (TRACTS) (M.E.P., E.B., D.S., J.C., W.M., R.M.), VA Boston Healthcare System, MA; Department of Psychiatry (M.E.P., M.W.L., M.W.M., B.R.H.), Boston University School of Medicine, MA; Neuroimaging Research for Veterans (NeRVe) Center (E.B., D.S., J.C., W.M., R.M.), VA Boston Healthcare System, MA; Brain Aging and Dementia (BAnD) Laboratory (D.S.), A. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown; National Center for PTSD (M.W.L., M.W.M., B.R.H.), Behavioral Sciences Division, VA Boston Healthcare System, MA; Boston University School of Medicine (M.W.L., R.S.), Biomedical Genetics, MA; Boston University School of Public Health (M.W.L.), Department of Biostatistics, MA; Department of Neurology (B.R.H.), Boston University School of Medicine, MA; Geriatric Research (W.M., R.M.), Education, and Clinical Center (GRECC), VA Boston Healthcare System, MA; and Department of Psychiatry (W.M., R.M.), Harvard Medical School, Boston, MA
| |
Collapse
|
15
|
Jiang X, O'Bryant SE, Johnson LA, Rissman RA, Yaffe K. Association of cardiovascular risk factors and blood biomarkers with cognition: The HABS-HD study. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2023; 15:e12394. [PMID: 36911361 PMCID: PMC9994160 DOI: 10.1002/dad2.12394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 12/08/2022] [Accepted: 12/20/2022] [Indexed: 03/14/2023]
Abstract
Introduction To determine if cardiovascular risk factor (CVRF) burden is associated with Alzheimer's disease (AD) biomarkers and whether they synergistically associate with cognition. Methods We cross-sectionally studied 1521 non-demented Mexican American (52%) and non-Hispanic White individuals aged ≥50 years. A composite score was calculated by averaging the z-scores of five cognitive tests. Plasma β-amyloid (Aβ) 42/40, total tau (t-tau), and neurofilament light (NfL) were assayed using Simoa. CVRF burden was assessed using the Framingham Risk Score (FRS). Results Compared to low FRS (< 10% risk), high FRS (≥ 20% risk) was independently associated with increased t-tau and NfL. High FRS was significantly associated with higher NfL only among Mexican American individuals. Intermediate or high FRS (vs. low FRS) were independently associated with lower cognition, and the association remained significant after adjusting for plasma biomarkers. Hypertension synergistically interacted with t-tau and NfL (p < 0.05). Discussion CVRFs play critical roles, both through independent and neurodegenerative pathways, on cognition.
Collapse
Affiliation(s)
- Xiaqing Jiang
- Department of Psychiatry and Behavioral Sciences University of California San Francisco San Francisco California USA
| | - Sid E O'Bryant
- Institute for Translational Research 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
| | - Robert A Rissman
- Department of Neurosciences University of California San Diego California USA.,Veterans Affairs San Diego Healthcare System San Diego California USA
| | - Kristine Yaffe
- Department of Psychiatry and Behavioral Sciences University of California San Francisco San Francisco California USA.,Department of Epidemiology and Biostatistics University of California San Francisco San Francisco California USA.,Department of Neurology University of California San Francisco California USA.,San Francisco VA Health Care System San Francisco California USA
| | | |
Collapse
|
16
|
Dong Y, Hou T, Li Y, Liu R, Cong L, Liu K, Liu C, Han X, Ren Y, Tang S, Winblad B, Blennow K, Wang Y, Du Y, Qiu C. Plasma Amyloid-β, Total Tau, and Neurofilament Light Chain Across the Alzheimer's Disease Clinical Spectrum: A Population-Based Study. J Alzheimers Dis 2023; 96:845-858. [PMID: 37899059 PMCID: PMC10657676 DOI: 10.3233/jad-230932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/06/2023] [Indexed: 10/31/2023]
Abstract
BACKGROUND Plasma biomarkers have emerged as a promising approach for characterizing pathophysiology in mild cognitive impairment (MCI) and Alzheimer's disease (AD). OBJECTIVE We aimed to characterize plasma biomarkers for AD and neurodegeneration across the AD clinical continuum, and to assess their ability to differentiate between AD, MCI, and normal cognition. METHODS This population-based study engaged 1,446 rural-dwelling older adults (age ≥60 years, 61.0% women) derived from MIND-China; of these, 402 were defined with MCI and 142 with AD. Plasma amyloid-β (Aβ), total tau (t-tau), and neurofilament light chain (NfL) concentrations were analyzed using the Simoa platform. Data were analyzed using linear and logistic regression models, and receiver operating characteristic (ROC) analysis. RESULTS Across the AD clinical spectrum, plasma Aβ40 and NfL increased, whereas Aβ42/Aβ40 ratio decreased. Plasma t-tau was higher in people with AD dementia than those with MCI or normal cognition. Plasma NfL outperformed other biomarkers in differentiating AD from normal cognition (area under the ROC curve [AUC] = 0.75), but all plasma biomarkers performed poorly to distinguish MCI from normal cognition (AUC <0.60). Plasma NfL in combination with age, sex, education, and APOE genotype yielded the AUC of 0.87 for differentiating between AD and normal cognition, 0.79 between AD and MCI, and 0.64 between MCI and normal cognition. CONCLUSIONS In this Chinese population, AD plasma biomarkers vary by age, sex, and APOE genotype. Plasma Aβ, t-tau, and NfL differ across the AD clinical spectrum, and plasma NfL appears to be superior to plasma Aβ and t-tau for defining the clinical spectrum.
Collapse
Affiliation(s)
- Yi Dong
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China
- Institute of Brain Science and Brain-inspired Research, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, P.R. China
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging in Shandong First Medical University, Ministry of Education of the People’s Republic of China, Jinan, Shandong, P.R. China
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, P.R. China
| | - Tingting Hou
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging in Shandong First Medical University, Ministry of Education of the People’s Republic of China, Jinan, Shandong, P.R. China
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, P.R. China
| | - Yuanjing Li
- Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden
| | - Rui Liu
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging in Shandong First Medical University, Ministry of Education of the People’s Republic of China, Jinan, Shandong, P.R. China
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, P.R. China
| | - Lin Cong
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging in Shandong First Medical University, Ministry of Education of the People’s Republic of China, Jinan, Shandong, P.R. China
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, P.R. China
| | - Keke Liu
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging in Shandong First Medical University, Ministry of Education of the People’s Republic of China, Jinan, Shandong, P.R. China
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, P.R. China
| | - Cuicui Liu
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging in Shandong First Medical University, Ministry of Education of the People’s Republic of China, Jinan, Shandong, P.R. China
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, P.R. China
| | - Xiaolei Han
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging in Shandong First Medical University, Ministry of Education of the People’s Republic of China, Jinan, Shandong, P.R. China
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, P.R. China
| | - Yifei Ren
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging in Shandong First Medical University, Ministry of Education of the People’s Republic of China, Jinan, Shandong, P.R. China
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, P.R. China
| | - Shi Tang
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging in Shandong First Medical University, Ministry of Education of the People’s Republic of China, Jinan, Shandong, P.R. China
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, P.R. China
| | - Bengt Winblad
- Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Center for Alzheimer Research, Karolinska Institutet, Stockholm, Sweden
- Theme Inflammation and Aging, Karolinska University Hospital, Huddinge, Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Yongxiang Wang
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China
- Institute of Brain Science and Brain-inspired Research, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, P.R. China
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging in Shandong First Medical University, Ministry of Education of the People’s Republic of China, Jinan, Shandong, P.R. China
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, P.R. China
- Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden
| | - Yifeng Du
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China
- Institute of Brain Science and Brain-inspired Research, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, P.R. China
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging in Shandong First Medical University, Ministry of Education of the People’s Republic of China, Jinan, Shandong, P.R. China
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, P.R. China
| | - Chengxuan Qiu
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China
- Institute of Brain Science and Brain-inspired Research, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, P.R. China
- Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden
| |
Collapse
|
17
|
Farvadi F, Hashemi F, Amini A, Alsadat Vakilinezhad M, Raee MJ. Early Diagnosis of Alzheimer's Disease with Blood Test; Tempting but Challenging. INTERNATIONAL JOURNAL OF MOLECULAR AND CELLULAR MEDICINE 2023; 12:172-210. [PMID: 38313372 PMCID: PMC10837916 DOI: 10.22088/ijmcm.bums.12.2.172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Revised: 11/25/2023] [Accepted: 12/13/2023] [Indexed: 02/06/2024]
Abstract
The increasing prevalence of Alzheimer's disease (AD) has led to a health crisis. According to official statistics, more than 55 million people globally have AD or other types of dementia, making it the sixth leading cause of death. It is still difficult to diagnose AD and there is no definitive diagnosis yet; post-mortem autopsy is still the only definite method. Moreover, clinical manifestations occur very late in the course of disease progression; therefore, profound irreversible changes have already occurred when the disease manifests. Studies have shown that in the preclinical stage of AD, changes in some biomarkers are measurable prior to any neurological damage or other symptoms. Hence, creating a reliable, fast, and affordable method capable of detecting AD in early stage has attracted the most attention. Seeking clinically applicable, inexpensive, less invasive, and much more easily accessible biomarkers for early diagnosis of AD, blood-based biomarkers (BBBs) seem to be an ideal option. This review is an inclusive report of BBBs that have been shown to be altered in the course of AD progression. The aim of this report is to provide comprehensive insight into the research status of early detection of AD based on BBBs.
Collapse
Affiliation(s)
- Fakhrossadat Farvadi
- Center for Nanotechnology in Drug Delivery, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Fatemeh Hashemi
- School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, the University of Newcastle, Newcastle, Australia
| | - Azadeh Amini
- Department of Pharmaceutical Biomaterials and Medical Biomaterials Research Center, Faculty of Pharmacy, Tehran University of Medical sciences, Tehran, Iran
| | | | - Mohammad Javad Raee
- Center for Nanotechnology in Drug Delivery, Shiraz University of Medical Sciences, Shiraz, Iran
| |
Collapse
|
18
|
Merten N, Pinto AA, Paulsen AJ, Chen Y, Engelman CD, Hancock LM, Johnson SC, Schubert CR. Associations of Midlife Lifestyle and Health Factors with Long-Term Changes in Blood-Based Biomarkers of Alzheimer's Disease and Neurodegeneration. J Alzheimers Dis 2023; 94:1381-1395. [PMID: 37393497 PMCID: PMC10461414 DOI: 10.3233/jad-221287] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/03/2023]
Abstract
BACKGROUND Pathological biomarkers of Alzheimer's disease (AD) and other dementias can change decades before clinical symptoms. Lifestyle and health factors might be relevant modifiable risk factors for dementia. Many previous studies have been focusing on associations of lifestyle and health-related factors with clinical outcomes later in life. OBJECTIVE We aimed to determine to what extent midlife factors of lifestyle, inflammation, vascular, and metabolic health were associated with long-term changes in blood-based biomarkers of AD (amyloid beta (Aβ)) and neurodegeneration (neurofilament light chain (NfL); total tau(TTau)). METHODS In 1,529 Beaver Dam Offspring Study (BOSS) participants (mean age 49 years, standard deviation (SD) = 9; 54% were women), we applied mixed-effects models with baseline risk factors as determinants and 10-year serum biomarker change as outcomes. RESULTS We found that education and inflammatory markers were associated with levels and/or change over time across all three markers of AD and neurodegeneration in the blood. There were baseline associations of measures of cardiovascular health with lower Aβ42/Aβ40. TTau changed little over time and was higher in individuals with diabetes. Individuals with lower risk in a number of cardiovascular and metabolic risk factors, including diabetes, hypertension, and atherosclerosis had slower accumulation of neurodegeneration over time, as determined by NfL levels. CONCLUSION Various lifestyle and health factors, including education and inflammation, were associated with longitudinal changes of neurodegenerative and AD biomarker levels in midlife. If confirmed, these findings could have important implications for developing early lifestyle and health interventions that could potentially slow processes of neurodegeneration and AD.
Collapse
Affiliation(s)
- Natascha Merten
- Division of Geriatrics and Gerontology, Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
| | - A Alex Pinto
- Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
| | - Adam J Paulsen
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
| | - Yanjun Chen
- Department of Ophthalmology and Visual Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
| | - Corinne D Engelman
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
| | - Laura M Hancock
- Department of Neurology, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
- William S Middleton Memorial Veterans Hospital, WI, USA
| | - Sterling C Johnson
- Division of Geriatrics and Gerontology, Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
| | - Carla R Schubert
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
| |
Collapse
|
19
|
Mielke MM, Aggarwal NT, Vila‐Castelar C, Agarwal P, Arenaza‐Urquijo EM, Brett B, Brugulat‐Serrat A, DuBose LE, Eikelboom WS, Flatt J, Foldi NS, Franzen S, Gilsanz P, Li W, McManus AJ, van Lent DM, Milani SA, Shaaban CE, Stites SD, Sundermann E, Suryadevara V, Trani J, Turner AD, Vonk JMJ, Quiroz YT, Babulal GM. Consideration of sex and gender in Alzheimer's disease and related disorders from a global perspective. Alzheimers Dement 2022; 18:2707-2724. [PMID: 35394117 PMCID: PMC9547039 DOI: 10.1002/alz.12662] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 02/15/2022] [Accepted: 02/20/2022] [Indexed: 01/31/2023]
Abstract
Sex or gender differences in the risk of Alzheimer's disease and related dementias (ADRD) differ by world region, suggesting that there are potentially modifiable risk factors for intervention. However, few epidemiological or clinical ADRD studies examine sex differences; even fewer evaluate gender in the context of ADRD risk. The goals of this perspective are to: (1) provide definitions of gender, biologic sex, and sexual orientation. and the limitations of examining these as binary variables; (2) provide an overview of what is known with regard to sex and gender differences in the risk, prevention, and diagnosis of ADRD; and (3) discuss these sex and gender differences from a global, worldwide perspective. Identifying drivers of sex and gender differences in ADRD throughout the world is a first step in developing interventions unique to each geographical and sociocultural area to reduce these inequities and to ultimately reduce global ADRD risk. HIGHLIGHTS: The burden of dementia is unevenly distributed geographically and by sex and gender. Scientific advances in genetics and biomarkers challenge beliefs that sex is binary. Discrimination against women and sex and gender minority (SGM) populations contributes to cognitive decline. Sociocultural factors lead to gender inequities in Alzheimer's disease and related dementias (ADRD) worldwide.
Collapse
Affiliation(s)
- Michelle M. Mielke
- Division of Epidemiology, Department of Quantitative Health SciencesMayo ClinicRochesterMinnesotaUSA
- Department of NeurologyMayo ClinicRochesterMinnesotaUSA
| | - Neelum T. Aggarwal
- Department of Neurological SciencesRush University Medical CenterChicagoIllinoisUSA
- Rush Alzheimer's Disease CenterRush University Medical CenterChicagoIllinoisUSA
| | - Clara Vila‐Castelar
- Department of Psychiatry, Harvard Medical SchoolMassachusetts General HospitalMassachusettsBostonUSA
| | - Puja Agarwal
- Rush Alzheimer's Disease CenterRush University Medical CenterChicagoIllinoisUSA
- Department of Internal MedicineRush University Medical CenterChicagoIllinoisUSA
| | - Eider M. Arenaza‐Urquijo
- Barcelonaβeta Brain Research Center (BBRC)Pasqual Maragall FoundationBarcelonaSpain
- IMIM (Hospital del Mar Medical Research Institute)BarcelonaSpain
- CIBER Fragilidad y Envejecimiento Saludable (CIBERFES)MadridSpain
| | - Benjamin Brett
- Department of NeurosurgeryMedical College of WisconsinWisconsinMilwaukeeUSA
| | - Anna Brugulat‐Serrat
- Barcelonaβeta Brain Research Center (BBRC)Pasqual Maragall FoundationBarcelonaSpain
- IMIM (Hospital del Mar Medical Research Institute)BarcelonaSpain
- CIBER Fragilidad y Envejecimiento Saludable (CIBERFES)MadridSpain
- Atlantic Fellow for Equity in Brain HealthThe University of California San FranciscoSan FranciscoCaliforniaUSA
| | - Lyndsey E. DuBose
- Department of Medicine, Division of GeriatricsUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
| | - Willem S. Eikelboom
- Department of NeurologyErasmus MC University Medical CenterRotterdamThe Netherlands
| | - Jason Flatt
- Social and Behavioral Health Program, School of Public HealthUniversity of Nevada, Las VegasLas VegasNevadaUSA
| | - Nancy S. Foldi
- Department of Psychology, Queens College and The Graduate CenterCity University of New YorkNew YorkUSA
- Department of PsychiatryNew York University Long Island School of MedicineNew YorkUSA
| | - Sanne Franzen
- Department of NeurologyErasmus MC University Medical CenterRotterdamThe Netherlands
| | - Paola Gilsanz
- Kaiser Permanente Division of ResearchOaklandCaliforniaUSA
| | - Wei Li
- Department of Clinical and Diagnostic SciencesUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Alison J. McManus
- Department of NeurologyMassachusetts General HospitalBostonMassachusettsUSA
| | - Debora Melo van Lent
- UT Health San AntonioGlenn Biggs Institute for Alzheimer's and Neurodegenerative diseasesSan AntonioTexasUSA
- Framingham Heart StudyFraminghamMassachusettsUSA
- Department of NeurologyBoston University School of MedicineBostonMassachusettsUSA
| | - Sadaf Arefi Milani
- Division of Geriatrics & Palliative Medicine, Department of Internal MedicineUniversity of Texas Medical BranchGalvestonTexasUSA
| | - C. Elizabeth Shaaban
- Department of EpidemiologyGraduate School of Public HealthUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Shana D. Stites
- Department of PsychiatryPerlman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Erin Sundermann
- Department of PsychiatryUniversity of CaliforniaSan DiegoCaliforniaUSA
| | - Vidyani Suryadevara
- Department of Orthopedic SurgeryRush University Medical CenterChicagoIllinoisUSA
| | - Jean‐Francoise Trani
- Department of Public HealthWashington University in St. LouisSt. LouisMissouriUSA
| | - Arlener D. Turner
- Department of Psychiatry & Behavioral SciencesUniversity of Miami Miller School of MedicineMiamiFloridaUSA
| | - Jet M. J. Vonk
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- Julius Center for Health Sciences and Primary CareDepartment of EpidemiologyUniversity Medical Center Utrecht and Utrecht UniversityUtrechtThe Netherlands
| | - Yakeel T. Quiroz
- Department of Psychiatry, Harvard Medical SchoolMassachusetts General HospitalMassachusettsBostonUSA
- Grupo de Neurociencias de Antioquia of Universidad de AntioquiaMedellinColumbiaUSA
| | - Ganesh M. Babulal
- Department of NeurologyWashington University in St. LouisSt. LouisMississippiUSA
- Department of Clinical Research and LeadershipThe George Washington University School of Medicine and Health SciencesWashingtonDCUSA
- Department of Psychology, Faculty of HumanitiesUniversity of JohannesburgJohannesburgSouth Africa
| | | |
Collapse
|
20
|
Dibacto REK, Ngoumen DJN, Ella FA, Nanhah JVK, Ambamba BDA, Hagbe PV, Fonkoua M, Mandob DE, Minka RS, Ngondi JL. In vitro anticholinesterase potential of some spices consumed in Cameroon and their protective effects on hydrogen peroxide-mediated oxidative stress damage in SK-N-SH cells. IBRO Neurosci Rep 2022; 13:107-113. [PMID: 35874495 PMCID: PMC9305342 DOI: 10.1016/j.ibneur.2022.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 07/10/2022] [Accepted: 07/10/2022] [Indexed: 11/23/2022] Open
Abstract
Background Many neurodegenerative such as Alzheimer's disease (AD) are characterized by cholinergic dysfunction and oxidative stress which is a key event in neuronal death process. Thus, anticholinesterase and anti-oxidation compounds are two promising strategies in the development of AD drugs. Beyond their culinary use, spices are today studies for health purpose. In this study, some spices consumed in Cameroon were evaluated for their anticholinesterase and neuroprotective effects. Methods Colorimetric methods were used to determine total flavonoid and alkaloid content of a combinated extract (hydroethanolic + ethanolic extracts) of different selected spices. Aftermaths, anti-cholinesterase activity of spice extract was carried out using Ellman’s method. Finally, neuroprotective effects performed on human SK-N-SH cells stressed with H2O2 by assessing neuronal survival ( resazurin assay) and neuronal death (LDH assay). Results Flavonoid content of spices extract were ranged from 22.94 to 32.01 mg EQ/g DM and alkaloid content were ranged from 320 to 896 mg EQu/g DM. Among the spices studied, Xylopia parviflora presented the greatest acetylcholinesterase inhibition with an IC50 = 14 µg/mL. In Cell culture experiments, pre-incubation of SK-N-SH cell with the selected spices at different concentrations were improved neuronal survival and reduced the percentage of neuronal cells dead. Conclusion The present results reveal that selected spices consumed in Cameroon have good anticholinesterase activity as well as neuroprotective effect on SK-N-SH which may provide new natural compounds that could help in the management of Alzheimer's disease.
Collapse
|
21
|
Huang Y, Li Y, Xie F, Guo Q. Associations of plasma phosphorylated tau181 and neurofilament light chain with brain amyloid burden and cognition in objectively defined subtle cognitive decline patients. CNS Neurosci Ther 2022; 28:2195-2205. [PMID: 36074638 PMCID: PMC9627371 DOI: 10.1111/cns.13962] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 08/05/2022] [Accepted: 08/15/2022] [Indexed: 02/06/2023] Open
Abstract
AIMS There is increasing evidence that plasma biomarkers are specific biomarkers for Alzheimer's disease (AD) pathology, but their potential utility in Obj-SCD (objectively defined subtle cognitive decline) remains unclear. METHODS A total of 234 subjects, including 65 with brain amyloid beta (Aβ) negative normal cognition (Aβ- NC), 58 with Aβ-positive NC (Aβ+ NC), 63 with Aβ- Obj-SCD, and 48 with Aβ+ Obj-SCD were enrolled. Plasma Aβ42, Aβ40, Aβ42/Aβ40 ratio, phosphorylated tau181 (p-tau181), neurofilament light chain (NfL), and total tau (T-tau) were measured using Simoa assays. Logistic and linear regression analyses were used to examine the relationship between plasma biomarkers and brain amyloid, cognition, and imaging measures adjusting for age, sex, education, APOE ε4 status, and vascular risk scores. Receiver operating characteristics were used to evaluate the discriminative validity of biomarkers. RESULTS After adjustment, only plasma p-tau181 and NfL were significantly elevated in Aβ+ Obj-SCD participants compared to Aβ- NC group. Elevated p-tau181 was associated with brain amyloid accumulation, worse cognitive performance (visual episodic memory, executive function, and visuospatial function), and hippocampal atrophy. These associations mainly occurred in Aβ+ individuals. In contrast, higher NfL was correlated with brain amyloid burden and verbal memory decline. These associations predominantly occurred in Aβ- individuals. The adjusted diagnostic model combining p-tau181 and NfL levels showed the best performance in identifying Aβ+ Obj-SCD from Aβ- NC [area under the curve (AUC) = 0.814], which did not differ from the adjusted p-tau181 model (AUC = 0.763). CONCLUSIONS Our findings highlight that plasma p-tau181, alone or combined with NfL, contributes to identifying high-risk AD populations.
Collapse
Affiliation(s)
- Yanlu Huang
- Department of GerontologyShanghai Jiao Tong University Affiliated Sixth People's HospitalShanghaiChina
| | - Yuehua Li
- Department of RadiologyShanghai Jiao Tong University Affiliated Sixth People's HospitalShanghaiChina
| | - Fang Xie
- PET Center, Huashan HospitalFudan UniversityShanghaiChina
| | - Qihao Guo
- Department of GerontologyShanghai Jiao Tong University Affiliated Sixth People's HospitalShanghaiChina
| |
Collapse
|
22
|
Tau as a Biomarker of Neurodegeneration. Int J Mol Sci 2022; 23:ijms23137307. [PMID: 35806324 PMCID: PMC9266883 DOI: 10.3390/ijms23137307] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 06/29/2022] [Accepted: 06/29/2022] [Indexed: 12/13/2022] Open
Abstract
Less than 50 years since tau was first isolated from a porcine brain, its detection in femtolitre concentrations in biological fluids is revolutionizing the diagnosis of neurodegenerative diseases. This review highlights the molecular and technological advances that have catapulted tau from obscurity to the forefront of biomarker diagnostics. Comprehensive updates are provided describing the burgeoning clinical applications of tau as a biomarker of neurodegeneration. For the clinician, tau not only enhances diagnostic accuracy, but holds promise as a predictor of clinical progression, phenotype, and response to drug therapy. For patients living with neurodegenerative disorders, characterization of tau dysregulation could provide much-needed clarity to a notoriously murky diagnostic landscape.
Collapse
|
23
|
Tarutani A, Adachi T, Akatsu H, Hashizume Y, Hasegawa K, Saito Y, Robinson AC, Mann DMA, Yoshida M, Murayama S, Hasegawa M. Ultrastructural and biochemical classification of pathogenic tau, α-synuclein and TDP-43. Acta Neuropathol 2022; 143:613-640. [PMID: 35513543 PMCID: PMC9107452 DOI: 10.1007/s00401-022-02426-3] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Revised: 04/12/2022] [Accepted: 04/23/2022] [Indexed: 12/20/2022]
Abstract
Intracellular accumulation of abnormal proteins with conformational changes is the defining neuropathological feature of neurodegenerative diseases. The pathogenic proteins that accumulate in patients' brains adopt an amyloid-like fibrous structure and exhibit various ultrastructural features. The biochemical analysis of pathogenic proteins in sarkosyl-insoluble fractions extracted from patients' brains also shows disease-specific features. Intriguingly, these ultrastructural and biochemical features are common within the same disease group. These differences among the pathogenic proteins extracted from patients' brains have important implications for definitive diagnosis of the disease, and also suggest the existence of pathogenic protein strains that contribute to the heterogeneity of pathogenesis in neurodegenerative diseases. Recent experimental evidence has shown that prion-like propagation of these pathogenic proteins from host cells to recipient cells underlies the onset and progression of neurodegenerative diseases. The reproduction of the pathological features that characterize each disease in cellular and animal models of prion-like propagation also implies that the structural differences in the pathogenic proteins are inherited in a prion-like manner. In this review, we summarize the ultrastructural and biochemical features of pathogenic proteins extracted from the brains of patients with neurodegenerative diseases that accumulate abnormal forms of tau, α-synuclein, and TDP-43, and we discuss how these disease-specific properties are maintained in the brain, based on recent experimental insights.
Collapse
Affiliation(s)
- Airi Tarutani
- Department of Brain and Neuroscience, Tokyo Metropolitan Institute of Medical Science, 2-1-6 Kamikitazawa, Setagaya-ku, Tokyo, 156-8506, Japan
| | - Tadashi Adachi
- Division of Neuropathology, Department of Brain and Neurosciences, Faculty of Medicine, Tottori University, Tottori, 683-8503, Japan
| | - Hiroyasu Akatsu
- Department of Neuropathology, Choju Medical Institute, Fukushimura Hospital, Aichi, 441-8124, Japan
- Department of Community-Based Medical Education, Nagoya City University Graduate School of Medical Sciences, Aichi, 467-8601, Japan
| | - Yoshio Hashizume
- Department of Neuropathology, Choju Medical Institute, Fukushimura Hospital, Aichi, 441-8124, Japan
| | - Kazuko Hasegawa
- Division of Neurology, National Hospital Organization, Sagamihara National Hospital, Kanagawa, 252-0392, Japan
| | - Yuko Saito
- Department of Neuropathology, Tokyo Metropolitan Institute of Gerontology, Tokyo, 173-0015, Japan
- Department of Pathology and Laboratory Medicine, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, 187-8551, Japan
| | - Andrew C Robinson
- Faculty of Biology, Medicine and Health, School of Biological Sciences, Division of Neuroscience and Experimental Psychology, Salford Royal Hospital, The University of Manchester, Salford, M6 8HD, UK
| | - David M A Mann
- Faculty of Biology, Medicine and Health, School of Biological Sciences, Division of Neuroscience and Experimental Psychology, Salford Royal Hospital, The University of Manchester, Salford, M6 8HD, UK
| | - Mari Yoshida
- Department of Neuropathology, Institute for Medical Science of Aging, Aichi Medical University, Aichi, 480-1195, Japan
| | - Shigeo Murayama
- Department of Neuropathology, Tokyo Metropolitan Institute of Gerontology, Tokyo, 173-0015, Japan
- Brain Bank for Neurodevelopmental, Neurological and Psychiatric Disorders, United Graduate School of Child Development, Osaka University, Osaka, 565-0871, Japan
| | - Masato Hasegawa
- Department of Brain and Neuroscience, Tokyo Metropolitan Institute of Medical Science, 2-1-6 Kamikitazawa, Setagaya-ku, Tokyo, 156-8506, Japan.
| |
Collapse
|
24
|
Blood phospho-tau in Alzheimer disease: analysis, interpretation, and clinical utility. Nat Rev Neurol 2022; 18:400-418. [PMID: 35585226 DOI: 10.1038/s41582-022-00665-2] [Citation(s) in RCA: 95] [Impact Index Per Article: 47.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/21/2022] [Indexed: 12/11/2022]
Abstract
Well-authenticated biomarkers can provide critical insights into the biological basis of Alzheimer disease (AD) to enable timely and accurate diagnosis, estimate future burden and support therapeutic trials. Current cerebrospinal fluid and molecular neuroimaging biomarkers fulfil these criteria but lack the scalability and simplicity necessary for widespread application. Blood biomarkers of adequate effectiveness have the potential to act as first-line diagnostic and prognostic tools, and offer the possibility of extensive population screening and use that is not limited to specialized centres. Accelerated progress in our understanding of the biochemistry of brain-derived tau protein and advances in ultrasensitive technologies have enabled the development of AD-specific phosphorylated tau (p-tau) biomarkers in blood. In this Review we discuss how new information on the molecular processing of brain p-tau and secretion of specific fragments into biofluids is informing blood biomarker development, enabling the evaluation of preanalytical factors that affect quantification, and informing harmonized protocols for blood handling. We also review the performance of blood p-tau biomarkers in the context of AD and discuss their potential contexts of use for clinical and research purposes. Finally, we highlight outstanding ethical, clinical and analytical challenges, and outline the steps that need to be taken to standardize inter-laboratory and inter-assay measurements.
Collapse
|
25
|
Sarnowski C, Ghanbari M, Bis JC, Logue M, Fornage M, Mishra A, Ahmad S, Beiser AS, Boerwinkle E, Bouteloup V, Chouraki V, Cupples LA, Damotte V, DeCarli CS, DeStefano AL, Djoussé L, Fohner AE, Franz CE, Kautz TF, Lambert JC, Lyons MJ, Mosley TH, Mukamal KJ, Pase MP, Portilla Fernandez EC, Rissman RA, Satizabal CL, Vasan RS, Yaqub A, Debette S, Dufouil C, Launer LJ, Kremen WS, Longstreth WT, Ikram MA, Seshadri S. Meta-analysis of genome-wide association studies identifies ancestry-specific associations underlying circulating total tau levels. Commun Biol 2022; 5:336. [PMID: 35396452 PMCID: PMC8993877 DOI: 10.1038/s42003-022-03287-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 03/17/2022] [Indexed: 01/27/2023] Open
Abstract
Circulating total-tau levels can be used as an endophenotype to identify genetic risk factors for tauopathies and related neurological disorders. Here, we confirmed and better characterized the association of the 17q21 MAPT locus with circulating total-tau in 14,721 European participants and identified three novel loci in 953 African American participants (4q31, 5p13, and 6q25) at P < 5 × 10-8. We additionally detected 14 novel loci at P < 5 × 10-7, specific to either Europeans or African Americans. Using whole-exome sequence data in 2,279 European participants, we identified ten genes associated with circulating total-tau when aggregating rare variants. Our genetic study sheds light on genes reported to be associated with neurological diseases including stroke, Alzheimer's, and Parkinson's (F5, MAP1B, and BCAS3), with Alzheimer's pathological hallmarks (ADAMTS12, IL15, and FHIT), or with an important function in the brain (PARD3, ELFN2, UBASH3B, SLIT3, and NSD3), and suggests that the genetic architecture of circulating total-tau may differ according to ancestry.
Collapse
Affiliation(s)
- Chloé Sarnowski
- Department of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA.
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Genetics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Mark Logue
- National Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry and Biomedical Genetics, Boston University School of Medicine, Boston, MA, USA
| | - Myriam Fornage
- University of Texas Health Sciences Center at Houston, Houston, TX, USA
| | - Aniket Mishra
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, F-33000, Bordeaux, France
| | - Shahzad Ahmad
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands
| | - Alexa S Beiser
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Boston University and the NHLBI's Framingham Heart Study, Boston, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Eric Boerwinkle
- University of Texas Health Sciences Center at Houston, Houston, TX, USA
| | - Vincent Bouteloup
- Centre Inserm U1219 Bordeaux Population Health, CIC1401-EC, Institut de Santé Publique, d'Epidémiologie et de Développement, Université de Bordeaux, CHU de Bordeaux, Pôle Santé Publique, Bordeaux, France
| | - Vincent Chouraki
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167 - RID-AGE- LabEx DISTALZ - Risk factors and molecular determinants of aging diseases, F-59000, Lille, France
| | - L Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Boston University and the NHLBI's Framingham Heart Study, Boston, MA, USA
| | - Vincent Damotte
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167 - RID-AGE- LabEx DISTALZ - Risk factors and molecular determinants of aging diseases, F-59000, Lille, France
| | - Charles S DeCarli
- Department of Neurology and Center for Neuroscience, University of California at Davis, Davis, CA, USA
| | - Anita L DeStefano
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Luc Djoussé
- Department of Medicine, Division of Aging, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Alison E Fohner
- Institute of Public Health Genetics and Department of Epidemiology and Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA
| | - Carol E Franz
- Department of Psychiatry and Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - Tiffany F Kautz
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
| | - Jean-Charles Lambert
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167 - RID-AGE- LabEx DISTALZ - Risk factors and molecular determinants of aging diseases, F-59000, Lille, France
| | - Michael J Lyons
- Department of Psychology and Brain Sciences, Boston University, Boston, MA, USA
| | | | - Kenneth J Mukamal
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Matthew P Pase
- Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia
- Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | | | - Robert A Rissman
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Claudia L Satizabal
- Boston University and the NHLBI's Framingham Heart Study, Boston, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
| | - Ramachandran S Vasan
- Boston University and the NHLBI's Framingham Heart Study, Boston, MA, USA
- Preventive Medicine & Epidemiology, Boston University School of Medicine, Boston, MA, USA
| | - Amber Yaqub
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Stephanie Debette
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, F-33000, Bordeaux, France
- Bordeaux University Hospital, Department of Neurology, Institute for Neurodegenerative Diseases, Bordeaux, France
| | - Carole Dufouil
- Bordeaux University Hospital, Department of Neurology, Institute for Neurodegenerative Diseases, Bordeaux, France
| | | | - William S Kremen
- Department of Psychiatry and Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - William T Longstreth
- Departments of Neurology and Epidemiology, University of Washington, Seattle, WA, USA
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Sudha Seshadri
- Boston University and the NHLBI's Framingham Heart Study, Boston, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
| |
Collapse
|
26
|
Álvarez-Sánchez L, Peña-Bautista C, Baquero M, Cháfer-Pericás C. Novel Ultrasensitive Detection Technologies for the Identification of Early and Minimally Invasive Alzheimer's Disease Blood Biomarkers. J Alzheimers Dis 2022; 86:1337-1369. [PMID: 35213367 DOI: 10.3233/jad-215093] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
BACKGROUND Single molecule array (SIMOA) and other ultrasensitive detection technologies have allowed the determination of blood-based biomarkers of Alzheimer's disease (AD) for diagnosis and monitoring, thereby opening up a promising field of research. OBJECTIVE To review the published bibliography on plasma biomarkers in AD using new ultrasensitive techniques. METHODS A systematic review of the PubMed database was carried out to identify reports on the use of blood-based ultrasensitive technology to identify biomarkers for AD. RESULTS Based on this search, 86 works were included and classified according to the biomarker determined. First, plasma amyloid-β showed satisfactory accuracy as an AD biomarker in patients with a high risk of developing dementia. Second, plasma t-Tau displayed good sensitivity in detecting different neurodegenerative diseases. Third, plasma p-Tau was highly specific for AD. Fourth, plasma NfL was highly sensitive for distinguishing between patients with neurodegenerative diseases and healthy controls. In general, the simultaneous determination of several biomarkers facilitated greater accuracy in diagnosing AD (Aβ42/Aβ40, p-Tau181/217). CONCLUSION The recent development of ultrasensitive technology allows the determination of blood-based biomarkers with high sensitivity, thus facilitating the early detection of AD through the analysis of easily obtained biological samples. In short, as a result of this knowledge, pre-symptomatic and early AD diagnosis may be possible, and the recruitment process for future clinical trials could be more precise. However, further studies are necessary to standardize levels of blood-based biomarkers in the general population and thus achieve reproducible results among different laboratories.
Collapse
Affiliation(s)
| | - Carmen Peña-Bautista
- Alzheimer Disease Research Group, Health Research Institute La Fe, Valencia, Spain
| | - Miguel Baquero
- Division of Neurology, University and Polytechnic Hospital La Fe, Valencia, Spain
| | | |
Collapse
|
27
|
Tau proteins in blood as biomarkers of Alzheimer's disease and other proteinopathies. J Neural Transm (Vienna) 2022; 129:239-259. [PMID: 35175385 DOI: 10.1007/s00702-022-02471-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2022] [Accepted: 02/02/2022] [Indexed: 12/13/2022]
Abstract
Alzheimer's disease (AD), the most common age-dependent neurodegenerative disorder, is characterized neuropathologically by extracellular Aβ plaques and intracellular tau neurofibrillary tangles. While in AD tau pathology probably follows early alterations in Aβ metabolism, it develops independently in the so-called primary tauopathies, the main form being frontotemporal lobar degeneration with tau pathology. Tau pathology in AD brain is reflected in the cerebrospinal fluid (CSF) by elevated levels of the two AD tau biomarkers total and phosphorylated tau, which are now used for routine diagnostic purposes. On the contrary, no established neurochemical biomarkers exist for tau pathology in primary tauopathies. Thanks to recent technological advances, total and phosphorylated tau can now be quantified also on peripheral blood, and accumulating evidence shows that measurement of plasma phosphorylated tau species (P-tau181, P-tau217, and P-tau231) has high performances in discriminating AD patients from cognitively unimpaired subjects but also from patients with other dementias. Moreover, plasma P-tau levels are associated with tracer uptake on tau- and amyloid-PET as well as with brain atrophy, cognitive measures and longitudinal changes of these parameters. These features, together with the low invasiveness, scalability, and ease of longitudinal sampling, which differentiate plasma P-tau species from their CSF counterparts, make these proteins promising peripheral biomarkers for AD in both research and clinical setting. This review discusses the recent developments in the field of plasma tau proteins as diagnostic, pathophysiological and prognostic biomarkers of Alzheimer's disease; additional findings from the fields of genetic forms of AD and of non-AD proteinopathies are also summarized.
Collapse
|
28
|
Dow CT, Greenblatt CL, Chan ED, Dow JF. Evaluation of BCG Vaccination and Plasma Amyloid: A Prospective, Pilot Study with Implications for Alzheimer’s Disease. Microorganisms 2022; 10:microorganisms10020424. [PMID: 35208878 PMCID: PMC8880735 DOI: 10.3390/microorganisms10020424] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 02/04/2022] [Accepted: 02/09/2022] [Indexed: 02/01/2023] Open
Abstract
BCG vaccine has been used for 100 years to prevent tuberculosis. Not all countries, including the United States, adopted the initial World Health Organization recommendation to use BCG. Moreover, many Western countries that had routinely used BCG have discontinued its use. Recent population studies demonstrate lower prevalence of Alzheimer’s disease (AD) in countries with high BCG coverage. Intravesicular instillation of BCG is also used to treat bladder cancer that has not invaded the bladder muscle wall and has been shown to reduce recurrence. Several retrospective studies of bladder cancer patients demonstrated that BCG treatment was associated with a significantly reduced risk of developing AD. Plasma amyloid β assessment has become a fertile area of study for an AD biomarker that is predictive of a positive amyloid PET scan. Mass spectrometry-based plasma amyloid 42/40 ratio has proven to be accurate and robust, and when combined with age and ApoE, is shown to accurately predict current and future brain amyloid status. These parameters, amyloid 42/40 ratio, age and ApoE genotype are incorporated into an Amyloid Probability Score (APS)–a score that identifies low, intermediate or high risk of having a PET scan positive for cerebral amyloid. Community recruitment was used for this open-label pilot study. Forty-nine BCG-naïve, immunocompetent individuals completed our study: prior to BCG prime and boost, as determined by the APS, 34 had low risk (APS 0–35), 5 had intermediate risk (APS 36–57) and 10 had high risk (APS 58–100). The APS range for the participant group was 0 to 94. Follow-up plasma amyloid testing 9 months after vaccination revealed a reduction in the APS in all the risk groups: low risk group (p = 0. 37), intermediate risk group (p = 0.13) and the high-risk group (statistically significant, p = 0.016). Greater benefit was seen in younger participants and those with the highest risk. The small number of participants and the nascent status of plasma amyloid testing will rightfully temper embracement of these results. However, both the favorable direction of change after BCG as well as the utility of the APS—a valuable surrogate AD biomarker—may prompt a definitive large-scale multicenter investigation of BCG and AD risk as determined by plasma amyloid peptide ratios and APS.
Collapse
Affiliation(s)
- Coad Thomas Dow
- Department of Ophthalmology and Visual Sciences, McPherson Eye Research Institute, University of Wisconsin-Madison, Madison, WI 53706, USA
- Mindful Diagnostics and Therapeutics, Eau Claire, WI 54701, USA
- Correspondence:
| | - Charles L. Greenblatt
- Department of Microbiology and Molecular Genetics, Hebrew University, Jerusalem 9103401, Israel;
| | - Edward D. Chan
- Department of Academic Affairs, National Jewish Health, Denver, CO 80218, USA;
- Division of Pulmonary Sciences and Critical Care Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80217, USA
- Rocky Mountain Regional Veterans Affairs Medical Center, Aurora, CO 80045, USA
| | - Jordan F. Dow
- Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA;
- Northwestern Wisconsin Region Mayo Clinic Health System, Eau Claire, WI 54703, USA
| |
Collapse
|
29
|
Mahaman YAR, Embaye KS, Huang F, Li L, Zhu F, Wang JZ, Liu R, Feng J, Wang X. Biomarkers used in Alzheimer's disease diagnosis, treatment, and prevention. Ageing Res Rev 2022; 74:101544. [PMID: 34933129 DOI: 10.1016/j.arr.2021.101544] [Citation(s) in RCA: 47] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 12/09/2021] [Accepted: 12/15/2021] [Indexed: 12/12/2022]
Abstract
Alzheimer's disease (AD), being the number one in terms of dementia burden, is an insidious age-related neurodegenerative disease and is presently considered a global public health threat. Its main histological hallmarks are the Aβ senile plaques and the P-tau neurofibrillary tangles, while clinically it is marked by a progressive cognitive decline that reflects the underlying synaptic loss and neurodegeneration. Many of the drug therapies targeting the two pathological hallmarks namely Aβ and P-tau have been proven futile. This is probably attributed to the initiation of therapy at a stage where cognitive alterations are already obvious. In other words, the underlying neuropathological changes are at a stage where these drugs lack any therapeutic value in reversing the damage. Therefore, there is an urgent need to start treatment in the very early stage where these changes can be reversed, and hence, early diagnosis is of primordial importance. To this aim, the use of robust and informative biomarkers that could provide accurate diagnosis preferably at an earlier phase of the disease is of the essence. To date, several biomarkers have been established that, to a different extent, allow researchers and clinicians to evaluate, diagnose, and more specially exclude other related pathologies. In this study, we extensively reviewed data on the currently explored biomarkers in terms of AD pathology-specific and non-specific biomarkers and highlighted the recent developments in the diagnostic and theragnostic domains. In the end, we have presented a separate elaboration on aspects of future perspectives and concluding remarks.
Collapse
|
30
|
Hao N, Wang Z, Liu P, Becker R, Yang S, Yang K, Pei Z, Zhang P, Xia J, Shen L, Wang L, Welsh-Bohmer KA, Sanders L, Lee LP, Huang TJ. Acoustofluidic multimodal diagnostic system for Alzheimer's disease. Biosens Bioelectron 2022; 196:113730. [PMID: 34736099 PMCID: PMC8643320 DOI: 10.1016/j.bios.2021.113730] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 10/13/2021] [Accepted: 10/23/2021] [Indexed: 02/08/2023]
Abstract
Alzheimer's disease (AD) is a progressive and irreversible neurodegenerative brain disorder that affects tens of millions of older adults worldwide and has significant economic and societal impacts. Despite its prevalence and severity, early diagnosis of AD remains a considerable challenge. Here we report an integrated acoustofluidics-based diagnostic system (ADx), which combines triple functions of acoustics, microfluidics, and orthogonal biosensors for clinically accurate, sensitive, and rapid detection of AD biomarkers from human plasma. We design and fabricate a surface acoustic wave-based acoustofluidic separation device to isolate and purify AD biomarkers to increase the signal-to-noise ratio. Multimodal biosensors within the integrated ADx are fabricated by in-situ patterning of the ZnO nanorod array and deposition of Ag nanoparticles onto the ZnO nanorods for surface-enhanced Raman scattering (SERS) and electrochemical immunosensors. We obtain the label-free detections of SERS and electrochemical immunoassay of clinical plasma samples from AD patients and healthy controls with high sensitivity and specificity. We believe that this efficient integration provides promising solutions for the early diagnosis of AD.
Collapse
Affiliation(s)
- Nanjing Hao
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Zeyu Wang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Pengzhan Liu
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Ryan Becker
- Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA
| | - Shujie Yang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Kaichun Yang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Zhichao Pei
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Peiran Zhang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Jianping Xia
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Liang Shen
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Lin Wang
- Ascent Bio-Nano Technologies, Inc., Morrisville, NC, 27560, USA
| | | | - Laurie Sanders
- Department of Neurology, Duke University Medical Center, Durham, NC, 27710, USA
| | - Luke P Lee
- Renal Division and Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA; Department of Bioengineering, Department of Electrical Engineering and Computer Science, University of California at Berkeley, Berkeley, CA, 94720, USA; Institute of Quantum Biophysics, Department of Biophysics, Sungkyunkwan University, Suwon, 16419, South Korea
| | - Tony Jun Huang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA.
| |
Collapse
|
31
|
Ogonowski N, Salcidua S, Leon T, Chamorro-Veloso N, Valls C, Avalos C, Bisquertt A, Rentería ME, Orellana P, Duran-Aniotz C. Systematic Review: microRNAs as Potential Biomarkers in Mild Cognitive Impairment Diagnosis. Front Aging Neurosci 2022; 13:807764. [PMID: 35095478 PMCID: PMC8790149 DOI: 10.3389/fnagi.2021.807764] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 12/15/2021] [Indexed: 12/14/2022] Open
Abstract
The rate of progression from Mild Cognitive Impairment (MCI) to Alzheimer's disease (AD) is estimated at >10% per year, reaching up to 80-90% after 6 years. MCI is considered an indicator of early-stage AD. In this context, the diagnostic screening of MCI is crucial for detecting individuals at high risk of AD before they progress and manifest further severe symptoms. Typically, MCI has been determined using neuropsychological assessment tools such as the Montreal Cognitive Assessment (MoCA) or Mini-Mental Status Examination (MMSE). Unfortunately, other diagnostic methods are not available or are unable to identify MCI in its early stages. Therefore, identifying new biomarkers for MCI diagnosis and prognosis is a significant challenge. In this framework, miRNAs in serum, plasma, and other body fluids have emerged as a promising source of biomarkers for MCI and AD-related cognitive impairments. Interestingly, miRNAs can regulate several signaling pathways via multiple and diverse targets in response to pathophysiological stimuli. This systematic review aims to describe the current state of the art regarding AD-related target genes modulated by differentially expressed miRNAs in peripheral fluids samples in MCI subjects to identify potential miRNA biomarkers in the early stages of AD. We found 30 articles that described five miRNA expression profiles from peripheral fluid in MCI subjects, showing possible candidates for miRNA biomarkers that may be followed up as fluid biomarkers or therapeutic targets of early-stage AD. However, additional research is needed to validate these miRNAs and characterize the precise neuropathological mechanisms.
Collapse
Affiliation(s)
- Natalia Ogonowski
- Latin American Institute for Brain Health (BrainLat), Universidad Adolfo Ibanez, Santiago, Chile
- Cognitive Neuroscience Center (CNC), National Scientific and Technical Research Council (CONICET), Universidad de San Andrés, Buenos Aires, Argentina
| | - Stefanny Salcidua
- Latin American Institute for Brain Health (BrainLat), Universidad Adolfo Ibanez, Santiago, Chile
- Faculty of Engineering and Sciences, Universidad Adolfo Ibanez, Santiago, Chile
| | - Tomas Leon
- Global Brain Health Institute, Trinity College, Dublin, Ireland
- Memory and Neuropsychiatric Clinic (CMYN) Neurology Department, Hospital del Salvador, Faculty of Medicine, University of Chile, Santiago, Chile
| | | | | | - Constanza Avalos
- Latin American Institute for Brain Health (BrainLat), Universidad Adolfo Ibanez, Santiago, Chile
| | | | - Miguel E. Rentería
- Department of Genetics and Computational Biology, Queensland Institute of Medical Research (QIMR) Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Paulina Orellana
- Latin American Institute for Brain Health (BrainLat), Universidad Adolfo Ibanez, Santiago, Chile
- Center for Social and Cognitive Neuroscience (CSCN), School of Psychology, Universidad Adolfo Ibanez, Santiago, Chile
| | - Claudia Duran-Aniotz
- Latin American Institute for Brain Health (BrainLat), Universidad Adolfo Ibanez, Santiago, Chile
- Center for Social and Cognitive Neuroscience (CSCN), School of Psychology, Universidad Adolfo Ibanez, Santiago, Chile
| |
Collapse
|
32
|
Abstract
With the expected rise in Alzheimer's disease and related dementias (ADRD) in the coming decades due to the aging population and a lack of effective disease-modifying treatments, there is a need for preventive strategies that may tap into resilience parameters. A wide array of resilience strategies has been proposed including genetics, socioeconomic status, lifestyle modifications, behavioral changes, and management of comorbid disease. These different strategies can be broadly classified as distinguishing between modifiable and non-modifiable risk factors, some of which can be quantified so that their clinical intervention can be effectively accomplished. A clear shift in research focus from dementia risk to addressing disease resistance and resilience is emerging that has provided new potential therapeutic targets. Here we review and summarize the latest investigations of resilience mechanisms and methods of quantifying resilience for clinical research. These approaches include identifying genetic variants that may help identify novel pathways (e.g., lipid metabolism, cellular trafficking, synaptic function, inflammation) for therapeutic treatments and biomarkers for use in a precision medicine-like regimen. In addition, innovative structural and molecular neuroimaging analyses may assist in detecting and quantifying pathological changes well before the onset of clinical symptoms setting up the possibility of primary and secondary prevention trials. Lastly, we summarize recent studies demonstrating the study of resilience in caregivers of persons living with dementia may have direct and indirect impact on the quality of care and patient outcomes.
Collapse
Affiliation(s)
- Mahesh S. Joshi
- Comprehensive Center for Brain Health, Department of Neurology, University of Miami Miller School of Medicine, Boca Raton, FL, USA
| | - James E. Galvin
- Comprehensive Center for Brain Health, Department of Neurology, University of Miami Miller School of Medicine, Boca Raton, FL, USA
| |
Collapse
|
33
|
Marks JD, Syrjanen JA, Graff-Radford J, Petersen RC, Machulda MM, Campbell MR, Algeciras-Schimnich A, Lowe V, Knopman DS, Jack CR, Vemuri P, Mielke MM. Comparison of plasma neurofilament light and total tau as neurodegeneration markers: associations with cognitive and neuroimaging outcomes. Alzheimers Res Ther 2021; 13:199. [PMID: 34906229 PMCID: PMC8672619 DOI: 10.1186/s13195-021-00944-y] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 12/06/2021] [Indexed: 01/08/2023]
Abstract
BACKGROUND Total tau protein (T-Tau) and neurofilament light chain (NfL) have emerged as candidate plasma biomarkers of neurodegeneration, but studies have not compared how these biomarkers cross-sectionally or longitudinally associate with cognitive and neuroimaging measures. We therefore compared plasma T-Tau and NfL as cross-sectional and longitudinal markers of (1) global and domain-specific cognitive decline and (2) neuroimaging markers of cortical thickness, hippocampal volume, white matter integrity, and white matter hyperintensity volume. METHODS We included 995 participants without dementia who were enrolled in the Mayo Clinic Study of Aging cohort. All had concurrent plasma NfL and T-tau, cognitive status, and neuroimaging data. Follow-up was repeated approximately every 15 months for a median of 6.2 years. Plasma NfL and T-tau were measured on the Simoa-HD1 Platform. Linear mixed effects models adjusted for age, sex, and education examined associations between baseline z-scored plasma NfL or T-tau and cognitive or neuroimaging outcomes. Analyses were replicated in Alzheimer's Disease Neuroimaging Initiative (ADNI) among 387 participants without dementia followed for a median of 3.0 years. RESULTS At baseline, plasma NfL was more strongly associated with all cognitive and neuroimaging outcomes. The combination of having both elevated NfL and T-tau at baseline, compared to elevated levels of either alone, was more strongly associated at cross-section with worse global cognition and memory, and with neuroimaging measures including temporal cortex thickness and increased number of infarcts. In longitudinal analyses, baseline plasma T-tau did not add to the prognostic value of baseline plasma NfL. Results using ADNI data were similar. CONCLUSIONS Our results indicate plasma NfL had better utility as a prognostic marker of cognitive decline and neuroimaging changes. Plasma T-tau added cross-sectional value to NfL in specific contexts. TRIAL REGISTRATION Not applicable.
Collapse
Affiliation(s)
- Jordan D Marks
- Medical Scientist Training Program, Mayo Clinic Alix School of Medicine, Rochester, MN, USA
| | - Jeremy A Syrjanen
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | | | - Ronald C Petersen
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Mary M Machulda
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Michelle R Campbell
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | | | - Val Lowe
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | | | | | | | - Michelle M Mielke
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
- Department of Neurology, Mayo Clinic, Rochester, MN, USA.
| |
Collapse
|
34
|
Schubert CR, Paulsen AJ, Pinto AA, Merten N, Cruickshanks KJ. Effect of Long-Term Storage on the Reliability of Blood Biomarkers for Alzheimer's Disease and Neurodegeneration. J Alzheimers Dis 2021; 85:1021-1029. [PMID: 34924380 DOI: 10.3233/jad-215096] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND Stored blood samples from longitudinal cohort studies may be useful for studying biomarkers of preclinical Alzheimer's disease. OBJECTIVE This study aimed to determine the reliability of amyloid-β 40 and amyloid-β 42 (Aβ 40, Aβ 42), total tau (TTau), and neurofilament light (NfL) concentrations measured in blood samples stored long-term at -80°C. METHODS Aβ 40, Aβ 42, TTau, and NfL were measured in serum and plasma samples from two longitudinal cohort studies. Serum samples had been stored at -80°C for 5 (n = 24), 14 (n = 24), and 20 years (N = 78) and plasma samples had been stored for 16 years (N = 78). Biomarker concentrations were measured in duplicate using a single molecule array assay (Simoa; Quanterix, Billerica, MA). Replicate samples for each sample type and storage length were included. RESULTS The concentrations of Aβ 40, Aβ 42, TTau, and NfL were within expected ranges. Some serum TTau concentrations were below the limit of detection. The average intra-assay coefficients of variation (CV) for duplicate measures were 2-7% for all assays except for serum TTau, which were higher (CVs 13% and 17%). Mean differences in original replicate pair Aβ 40, Aβ 42, and NfL concentrations were slightly greater in samples stored for longer versus shorter time periods. CONCLUSION Aβ 40, Aβ 42, TTau, and NfL can be measured in serum and plasma samples that have been stored up to 20 years at -80°C. Long-term storage may be associated with small increases in the variability of concentrations in samples stored 14 or more years.
Collapse
Affiliation(s)
- Carla R Schubert
- Department of Ophthalmology and Visual Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Adam J Paulsen
- Department of Ophthalmology and Visual Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - A Alex Pinto
- Department of Ophthalmology and Visual Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Natascha Merten
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Karen J Cruickshanks
- Department of Ophthalmology and Visual Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.,Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| |
Collapse
|
35
|
Kochsiek J, O’Donnell LJ, Zhang F, Bonke EM, Sollmann N, Tripodis Y, Wiegand TLT, Kaufmann D, Umminger L, Di Biase MA, Kaufmann E, Schultz V, Alosco ML, Martin BM, Lin AP, Coleman MJ, Rathi Y, Pasternak O, Bouix S, Stern RA, Shenton ME, Koerte IK. Exposure to Repetitive Head Impacts Is Associated With Corpus Callosum Microstructure and Plasma Total Tau in Former Professional American Football Players. J Magn Reson Imaging 2021; 54:1819-1829. [PMID: 34137112 PMCID: PMC8633029 DOI: 10.1002/jmri.27774] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 05/29/2021] [Accepted: 06/01/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Exposure to repetitive head impacts (RHI) is associated with an increased risk of later-life neurobehavioral dysregulation and neurodegenerative disease. The underlying pathomechanisms are largely unknown. PURPOSE To investigate whether RHI exposure is associated with later-life corpus callosum (CC) microstructure and whether CC microstructure is associated with plasma total tau and neuropsychological/neuropsychiatric functioning. STUDY TYPE Retrospective cohort study. POPULATION Seventy-five former professional American football players (age 55.2 ± 8.0 years) with cognitive, behavioral, and mood symptoms. FIELD STRENGTH/SEQUENCE Diffusion-weighted echo-planar MRI at 3 T. ASSESSMENT Subjects underwent diffusion MRI, venous puncture, neuropsychological testing, and completed self-report measures of neurobehavioral dysregulation. RHI exposure was assessed using the Cumulative Head Impact Index (CHII). Diffusion MRI measures of CC microstructure (i.e., free-water corrected fractional anisotropy (FA), trace, radial diffusivity (RD), and axial diffusivity (AD)) were extracted from seven segments of the CC (CC1-7), using a tractography clustering algorithm. Neuropsychological tests were selected: Trail Making Test Part A (TMT-A) and Part B (TMT-B), Controlled Oral Word Association Test (COWAT), Stroop Interference Test, and the Behavioral Regulation Index (BRI) from the Behavior Rating Inventory of Executive Function, Adult version (BRIEF-A). STATISTICAL TESTS Diffusion MRI metrics were tested for associations with RHI exposure, plasma total tau, neuropsychological performance, and neurobehavioral dysregulation using generalized linear models for repeated measures. RESULTS RHI exposure was associated with increased AD of CC1 (correlation coefficient (r) = 0.32, P < 0.05) and with increased plasma total tau (r = 0.34, P < 0.05). AD of the anterior CC1 was associated with increased plasma total tau (CC1: r = 0.30, P < 0.05; CC2: r = 0.29, P < 0.05). Higher trace, AD, and RD of CC1 were associated with better performance (P < 0.05) in TMT-A (trace, r = 0.33; AD, r = 0.31; and RD, r = 0.28) and TMT-B (trace, r = 0.31; RD, r = 0.34). Higher FA and AD of CC2 were associated with better performance (P < 0.05) in TMT-A (FA, r = 0.36; AD, r = 0.28), TMT-B (FA, r = 0.36; AD, r = 0.27), COWAT (FA, r = 0.36; AD, r = 0.32), and BRI (AD, r = 0.29). DATA CONCLUSION These results suggest an association among RHI exposure, CC microstructure, plasma total tau, and clinical functioning in former professional American football players. LEVEL OF EVIDENCE 3 Technical Efficacy Stage: 1.
Collapse
Affiliation(s)
- Janna Kochsiek
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany
| | - Lauren J. O’Donnell
- Laboratory of Mathematics in Imaging, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Fan Zhang
- Laboratory of Mathematics in Imaging, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Elena M. Bonke
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany
- Graduate School of Systemic Neurosciences, Ludwig-Maximilians-Universität, Munich, Germany
| | - Nico Sollmann
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Ulm, Germany
| | - Yorghos Tripodis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Alzheimer’s Disease and CTE Centers, Boston University School of Medicine, Boston, MA, USA
| | - Tim L. T. Wiegand
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany
| | - David Kaufmann
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany
- Department of Radiology, Charité Universitätsmedizin, Berlin, Germany
- Department of Radiology, University Hospital Augsburg, University of Augsburg, Germany
| | - Lisa Umminger
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany
| | - Maria A. Di Biase
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Elisabeth Kaufmann
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany
- Department of Neurology, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany
| | - Vivian Schultz
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Michael L. Alosco
- Alzheimer’s Disease and CTE Centers, Boston University School of Medicine, Boston, MA, USA
- Department of Neurology, Boszon University School of Medicine, Boston, MA, USA
| | - Brett M. Martin
- Data Coordinating Center, Boston University School of Public Health, Boston, MA, USA
| | - Alexander P. Lin
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Center for Clinical Spectroscopy, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Michael J. Coleman
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Yogesh Rathi
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Ofer Pasternak
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Sylvain Bouix
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Robert A. Stern
- Alzheimer’s Disease and CTE Centers, Boston University School of Medicine, Boston, MA, USA
- Department of Neurology, Boszon University School of Medicine, Boston, MA, USA
- Departments of Neurosugery and Anatomy & Neurobiology, Boston University School of Medicine, Boston, MA, USA
| | - Martha E. Shenton
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Inga K. Koerte
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany
- Graduate School of Systemic Neurosciences, Ludwig-Maximilians-Universität, Munich, Germany
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| |
Collapse
|
36
|
Feng L, Li J, Zhang R. Current research status of blood biomarkers in Alzheimer's disease: Diagnosis and prognosis. Ageing Res Rev 2021; 72:101492. [PMID: 34673262 DOI: 10.1016/j.arr.2021.101492] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2021] [Revised: 08/04/2021] [Accepted: 10/15/2021] [Indexed: 01/10/2023]
Abstract
Alzheimer's disease (AD), which mainly occurs in the elderly, is a neurodegenerative disease with a hidden onset, which leads to progressive cognitive and behavioral changes. The annually increasing prevalence rate and number of patients with AD exert great pressure on the society. No effective disease-modifying drug treatments are available; thus, there is no cure yet. The disease progression can only be delayed through early detection and drug assistance. Therefore, the importance of exploring associated biomarkers for the early diagnosis and prediction of the disease progress is highlighted. The National Institute on Aging- Alzheimer's Association (NIA-AA) proposed A/T/N diagnostic criteria in 2018, including Aβ42, p-tau, t-tau in cerebrospinal fluid (CSF), and positron emission tomography (PET). However, the invasiveness of lumbar puncture for CSF assessment and non-popularity of PET have prompted researchers to look for minimally invasive, easy to collect, and cost-effective biomarkers. Therefore, studies have largely focused on some novel molecules in the peripheral blood. This is an emerging research field, facing many obstacles and challenges while achieving some promising results.
Collapse
|
37
|
Teunissen CE, Verberk IMW, Thijssen EH, Vermunt L, Hansson O, Zetterberg H, van der Flier WM, Mielke MM, Del Campo M. Blood-based biomarkers for Alzheimer's disease: towards clinical implementation. Lancet Neurol 2021; 21:66-77. [PMID: 34838239 DOI: 10.1016/s1474-4422(21)00361-6] [Citation(s) in RCA: 340] [Impact Index Per Article: 113.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Revised: 09/06/2021] [Accepted: 09/07/2021] [Indexed: 12/13/2022]
Abstract
For many years, blood-based biomarkers for Alzheimer's disease seemed unattainable, but recent results have shown that they could become a reality. Convincing data generated with new high-sensitivity assays have emerged with remarkable consistency across different cohorts, but also independent of the precise analytical method used. Concentrations in blood of amyloid and phosphorylated tau proteins associate with the corresponding concentrations in CSF and with amyloid-PET or tau-PET scans. Moreover, other blood-based biomarkers of neurodegeneration, such as neurofilament light chain and glial fibrillary acidic protein, appear to provide information on disease progression and potential for monitoring treatment effects. Now the question emerges of when and how we can bring these biomarkers to clinical practice. This step would pave the way for blood-based biomarkers to support the diagnosis of, and development of treatments for, Alzheimer's disease and other dementias.
Collapse
Affiliation(s)
- Charlotte E Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands.
| | - Inge M W Verberk
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Elisabeth H Thijssen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Lisa Vermunt
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Sölvegatan, Sweden; Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Henrik Zetterberg
- Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; UK Dementia Research Institute at UCL, London, UK; Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK; Hong Kong Center for Neurodegenerative Diseases, Hong Kong Special Administrative Region, China
| | - Wiesje M van der Flier
- Alzheimer Center, Department of Neurology, and Department of Epidemiology and Data Science, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Michelle M Mielke
- Department of Quantitative Health Sciences, and Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Marta Del Campo
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands; Departamento de Ciencias Farmacéuticas y de la Salud, Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Madrid, Spain
| |
Collapse
|
38
|
Altuna-Azkargorta M, Mendioroz-Iriarte M. Blood biomarkers in Alzheimer's disease. NEUROLOGÍA (ENGLISH EDITION) 2021; 36:704-710. [PMID: 34752348 DOI: 10.1016/j.nrleng.2018.03.006] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2017] [Accepted: 03/01/2018] [Indexed: 11/25/2022] Open
Abstract
INTRODUCTION Early diagnosis of Alzheimer disease (AD) through the use of biomarkers could assist in the implementation and monitoring of early therapeutic interventions, and has the potential to significantly modify the course of the disease. DEVELOPMENT The classic cerebrospinal fluid and approved structural and functional neuroimaging biomarkers are of limited clinical application given their invasive nature and/or high cost. The identification of more accessible and less costly biomarkers, such as blood biomarkers, would increase their use in clinical practice. We review the available published evidence on the main blood biochemical biomarkers potentially useful for diagnosing AD. CONCLUSIONS Blood biomarkers are more cost- and time-effective than CSF biomarkers. However, immediate applicability in clinical practice is relatively unlikely. The main limitations come from the difficulty of measuring and standardising thresholds between different laboratories and the failure to replicate results. Of all the molecules studied, apoptosis and neurodegeneration biomarkers and the biomarker panels obtained through "omics" approaches, such as isolated or combined metabolomics, offer the most promising results.
Collapse
Affiliation(s)
- M Altuna-Azkargorta
- Laboratorio de Neuroepigenética, Navarrabiomed, Complejo Hospitalario de Navarra, Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Spain.
| | - M Mendioroz-Iriarte
- Laboratorio de Neuroepigenética, Navarrabiomed, Complejo Hospitalario de Navarra, Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Spain; Servicio de Neurología, Complejo Hospitalario de Navarra, Pamplona, Spain
| |
Collapse
|
39
|
Wu X, Xiao Z, Yi J, Ding S, Gu H, Wu W, Luo J, Liang X, Zheng L, Xu H, Zhao Q, Ding D. Development of a Plasma Biomarker Diagnostic Model Incorporating Ultrasensitive Digital Immunoassay as a Screening Strategy for Alzheimer Disease in a Chinese Population. Clin Chem 2021; 67:1628-1639. [PMID: 34662373 DOI: 10.1093/clinchem/hvab192] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Accepted: 08/17/2021] [Indexed: 01/07/2023]
Abstract
BACKGROUND The ultrasensitive detection of blood-based biomarkers such as amyloid β (Aβ), tau, and neurofilament light (NFL) has drawn much attention in Alzheimer disease (AD) diagnosis. However, few studies have been conducted in the Chinese population. This study aimed to evaluate the ability of plasma biomarker diagnostic models for AD in the Chinese population based on a novel digital immunoassay technology. METHODS 159 patients with AD, 148 patients with amnestic mild cognitive impairment (aMCI), and 121 cognitively normal control participants were recruited from 2 cohorts. The concentrations of plasma Aβ42, Aβ40, Aβ42/Aβ40, total tau (t-tau), phosphorylated tau 181 (p-tau 181), and NFL were quantified using an ultrasensitive single molecule array (Simoa) platform. Comprehensive and simplified diagnostic models were established based on the plasma biomarker profile and clinical characteristics. RESULTS Among all blood biomarkers, p-tau181 had the greatest potential for identifying patients with cognitive impairment. The simplified diagnostic model, which combined plasma p-tau181, Aβ42, and clinical features, achieved 93.3% area under the curve (AUC), 78.6% sensitivity, and 94.2% specificity for distinguishing AD from control participants, indicating a diagnostic ability approaching that of the comprehensive diagnostic model including 5 plasma biomarkers and clinical characteristics (95.1% AUC, 85.5% sensitivity, 94.2% specificity). Moreover, the simplified model reached 95.9% AUC and 94.0% AUC for early- and late-onset AD/control participants, respectively. CONCLUSIONS We established AD diagnostic models using plasma biomarkers for Chinese participants. These findings suggest the simplified diagnostic model provides an accessible and practical way for large-scale screening in the clinic and community, especially in developing countries.
Collapse
Affiliation(s)
- Xue Wu
- School of Biomedical Engineering/Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Zhenxu Xiao
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Jingwei Yi
- School of Biomedical Engineering/Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Saineng Ding
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Hongchen Gu
- School of Biomedical Engineering/Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Wanqing Wu
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Jianfeng Luo
- Department of Biostatistics, School of Public Health, Fudan University, Shanghai, China.,Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai, China
| | - Xiaoniu Liang
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Li Zheng
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Hong Xu
- School of Biomedical Engineering/Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Qianhua Zhao
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China.,MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Ding Ding
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| |
Collapse
|
40
|
|
41
|
Syrjanen JA, Campbell MR, Algeciras-Schimnich A, Vemuri P, Graff-Radford J, Machulda MM, Bu G, Knopman DS, Jack CR, Petersen RC, Mielke MM. Associations of amyloid and neurodegeneration plasma biomarkers with comorbidities. Alzheimers Dement 2021; 18:1128-1140. [PMID: 34569696 DOI: 10.1002/alz.12466] [Citation(s) in RCA: 90] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 06/24/2021] [Accepted: 06/25/2021] [Indexed: 01/21/2023]
Abstract
INTRODUCTION Blood-based biomarkers of amyloid pathology and neurodegeneration are entering clinical use. It is critical to understand what factors affect the levels of these markers. METHODS Plasma markers (Aβ42, Aβ40, NfL, T-tau, Aβ42/40 ratio) were measured on the Quanterix Simoa HD-1 analyzer for 996 Mayo Clinic Study of Aging (MCSA) participants, aged 51 to 95 years. All other data were collected during in-person MCSA visits or abstracted from the medical record. RESULTS Among cognitively unimpaired (CU) participants, all plasma markers correlated with age. Linear regression models revealed multiple relationships. For example, higher Charlson Comorbidity Index and chronic kidney disease were associated with higher levels of all biomarkers. Some relationships differed between mild cognitive impairment and dementia participants. DISCUSSION Multiple variables affect plasma biomarkers of amyloid pathology and neurodegeneration among CU in the general population. Incorporating this information is critical for accurate interpretation of the biomarker levels and for the development of reference ranges.
Collapse
Affiliation(s)
- Jeremy A Syrjanen
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Michelle R Campbell
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | | | | | | | - Mary M Machulda
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA
| | - Guojun Bu
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
| | - David S Knopman
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Clifford R Jack
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Ronald C Petersen
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.,Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Michelle M Mielke
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.,Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| |
Collapse
|
42
|
Alawode DOT, Heslegrave AJ, Ashton NJ, Karikari TK, Simrén J, Montoliu‐Gaya L, Pannee J, O´Connor A, Weston PSJ, Lantero‐Rodriguez J, Keshavan A, Snellman A, Gobom J, Paterson RW, Schott JM, Blennow K, Fox NC, Zetterberg H. Transitioning from cerebrospinal fluid to blood tests to facilitate diagnosis and disease monitoring in Alzheimer's disease. J Intern Med 2021; 290:583-601. [PMID: 34021943 PMCID: PMC8416781 DOI: 10.1111/joim.13332] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Revised: 03/18/2021] [Accepted: 03/30/2021] [Indexed: 12/11/2022]
Abstract
Alzheimer's disease (AD) is increasingly prevalent worldwide, and disease-modifying treatments may soon be at hand; hence, now, more than ever, there is a need to develop techniques that allow earlier and more secure diagnosis. Current biomarker-based guidelines for AD diagnosis, which have replaced the historical symptom-based guidelines, rely heavily on neuroimaging and cerebrospinal fluid (CSF) sampling. While these have greatly improved the diagnostic accuracy of AD pathophysiology, they are less practical for application in primary care, population-based and epidemiological settings, or where resources are limited. In contrast, blood is a more accessible and cost-effective source of biomarkers in AD. In this review paper, using the recently proposed amyloid, tau and neurodegeneration [AT(N)] criteria as a framework towards a biological definition of AD, we discuss recent advances in biofluid-based biomarkers, with a particular emphasis on those with potential to be translated into blood-based biomarkers. We provide an overview of the research conducted both in CSF and in blood to draw conclusions on biomarkers that show promise. Given the evidence collated in this review, plasma neurofilament light chain (N) and phosphorylated tau (p-tau; T) show particular potential for translation into clinical practice. However, p-tau requires more comparisons to be conducted between its various epitopes before conclusions can be made as to which one most robustly differentiates AD from non-AD dementias. Plasma amyloid beta (A) would prove invaluable as an early screening modality, but it requires very precise tests and robust pre-analytical protocols.
Collapse
Affiliation(s)
- D. O. T. Alawode
- From theDepartment of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
- UK Dementia Research Institute at UCLLondonUK
| | - A. J. Heslegrave
- From theDepartment of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
- UK Dementia Research Institute at UCLLondonUK
| | - N. J. Ashton
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Wallenberg Centre for Molecular and Translational MedicineDepartment of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska Academy at the University of GothenburgGothenburgSweden
- Department of Old Age PsychiatryInstitute of Psychiatry, Psychology & NeuroscienceKing’s College LondonLondonUK
- NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS FoundationLondonUK
| | - T. K. Karikari
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - J. Simrén
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
| | - L. Montoliu‐Gaya
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - J. Pannee
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
| | - A. O´Connor
- UK Dementia Research Institute at UCLLondonUK
- Dementia Research CentreDepartment of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
| | - P. S. J. Weston
- Dementia Research CentreDepartment of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
| | - J. Lantero‐Rodriguez
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - A. Keshavan
- Dementia Research CentreDepartment of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
| | - A. Snellman
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Turku PET CentreUniversity of TurkuTurkuFinland
| | - J. Gobom
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
| | - R. W. Paterson
- Dementia Research CentreDepartment of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
| | - J. M. Schott
- Dementia Research CentreDepartment of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
| | - K. Blennow
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
| | - N. C. Fox
- UK Dementia Research Institute at UCLLondonUK
- Dementia Research CentreDepartment of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
| | - H. Zetterberg
- From theDepartment of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
- UK Dementia Research Institute at UCLLondonUK
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
| |
Collapse
|
43
|
Xiao Z, Wu X, Wu W, Yi J, Liang X, Ding S, Zheng L, Luo J, Gu H, Zhao Q, Xu H, Ding D. Plasma biomarker profiles and the correlation with cognitive function across the clinical spectrum of Alzheimer's disease. Alzheimers Res Ther 2021; 13:123. [PMID: 34225797 PMCID: PMC8259165 DOI: 10.1186/s13195-021-00864-x] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 06/20/2021] [Indexed: 02/08/2023]
Abstract
BACKGROUND Plasma biomarkers showed a promising value in the disease diagnosis and management of Alzheimer's disease (AD). However, profiles of the biomarkers and the associations with cognition across a spectrum of cognitive stages have seldom been reported. METHODS We recruited 320 individuals with cognitive impairment and 131 cognitively normal participants from a memory clinic and a community cohort. Participants were classified into 6 groups based on their Clinical Dementia Rating (CDR) scores and clinical diagnosis, including AD, amnestic mild cognitive impairment (aMCI), and normal cognition (NC). A battery of neuropsychological tests was used to assess the global and domain-specific cognition. Plasma Aβ1-40, Aβ1-42, Aβ1-42/Aβ1-40, total tau (t-tau), neurofilament protein light chain (NfL), and phosphorylated tau at threonine 181 (p-tau181) were quantified using the single-molecule array (Simoa) platform. RESULTS All the plasma markers (Aβ1-40, Aβ1-42, Aβ1-42/Aβ1-40, t-tau, NfL, p-tau181) showed certain discrepancies among NC, aMCI, and AD groups. The p-tau181 level showed a continuous escalating trend as the CDR scores increased from 0 (NC group) to 3 (severe AD). Compared with other biomarkers, p-tau181 had correlations with broader cognitive domains, covering global cognition (r = -0.536, P < 0.0001), memory (r = -0.481, P < 0.0001), attention (r = -0.437, P < 0.0001), visuospatial function (r = -0.385, P < 0.0001), and language (r = -0.177, P = 0.0003). Among participants with CDR ≥ 1, higher p-tau181 was correlated with worse global cognition (r = -0.301, P < 0.001). CONCLUSIONS Plasma p-tau181 had correlations with broader cognitive domains, suggesting its potential as a promising clinical-relevant blood-based biomarker.
Collapse
Affiliation(s)
- Zhenxu Xiao
- Institute of Neurology, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Rd, Shanghai, China
- National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Xue Wu
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Wanqing Wu
- Institute of Neurology, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Rd, Shanghai, China
- National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Jingwei Yi
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaoniu Liang
- Institute of Neurology, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Rd, Shanghai, China
- National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Saineng Ding
- Institute of Neurology, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Rd, Shanghai, China
- National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Li Zheng
- Institute of Neurology, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Rd, Shanghai, China
- National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Jianfeng Luo
- Department of Biostatistics, School of Public Health, Fudan University, Shanghai, China
- Key Lab of Public Health Safety of the Ministry of Education, Fudan University, Shanghai, China
| | - Hongchen Gu
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Qianhua Zhao
- Institute of Neurology, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Rd, Shanghai, China.
- National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China.
| | - Hong Xu
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
| | - Ding Ding
- Institute of Neurology, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Rd, Shanghai, China
- National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| |
Collapse
|
44
|
Castillo-Mendieta T, Arana-Lechuga Y, Campos-Peña V, Sosa AL, Orozco-Suarez S, Pinto-Almazán R, Segura-Uribe J, Javier Rodríguez-Sánchez de Tagle A, Ruiz-Sánchez E, Guerra-Araiza C. Plasma Levels of Amyloid-β Peptides and Tau Protein in Mexican Patients with Alzheimer's Disease. J Alzheimers Dis 2021; 82:S271-S281. [PMID: 34151786 DOI: 10.3233/jad-200912] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Alzheimer's disease (AD) causes memory deficit and alterations in other cognitive functions, mainly in adults over 60 years of age. As the diagnosis confirmation is performed by a postmortem neuropathological examination of the brain, this disease can be confused with other types of dementia at early stages. About 860,000 Mexicans are affected by dementia, most of them with insufficient access to adequate comprehensive health care services. Plasma biomarkers could be a rapid option for early diagnosis of the disease. OBJECTIVE This study aimed to analyze some plasma biomarkers (amyloid-β, tau, and lipids) in Mexican AD patients and control subjects with no associated neurodegenerative diseases. METHODS Plasma amyloid-β peptides (Aβ40 and Aβ42), total and phosphorylated tau protein (T-tau and P-tau), and cholesterol and triglyceride levels were quantified by enzyme-linked immunosorbent assay in AD patients and control subjects. RESULTS In Mexican AD patients, we found significantly lower levels of Aβ42 (p < 0.05) compared to the control group. In contrast, significantly higher levels of P-tau (p < 0.05) and triglycerides (p < 0.05) were observed in AD patients compared to controls. Furthermore, a significant correlation was found between the severity of dementia and plasma P-tau levels, Aβ42/Aβ40 and P-tau/T-tau ratios, and triglycerides concentrations. This correlation increased gradually with cognitive decline. CONCLUSION The detection of these plasma biomarkers is an initial step in searching for a timely, less invasive, and cost-efficient diagnosis in Mexicans.
Collapse
Affiliation(s)
- Tzayaka Castillo-Mendieta
- Unidad de Investigación Médica en Farmacología, Hospital de Especialidades Bernardo Sepúlveda, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico.,Doctorado en Ciencias Biológicas y de la Salud, Universidad Autónoma Metropolitana, Mexico City, Mexico
| | - Yoaly Arana-Lechuga
- Sleep Disorders Clinic, Universidad Autónoma Metropolitana-Iztapalapa, Mexico City, Mexico
| | - Victoria Campos-Peña
- Laboratorio Experimental de Enfermedades Neurodegenerativas, Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suárez, Mexico City, Mexico
| | - Ana Luisa Sosa
- Clínica de Demencia, Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suárez, Mexico City, Mexico
| | - Sandra Orozco-Suarez
- Unidad de Investigación Médica en Enfermedades Neurológicas, Hospital de Especialidades Bernardo Sepúlveda, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Rodolfo Pinto-Almazán
- Laboratorio de Biología Molecular en Enfermedades Metabólicas y Neurodegenerativas, Unidad de Investigación, Hospital Regional de Alta Especialidad de Ixtapaluca, Ixtapaluca, State of Mexico, Mexico
| | - Julia Segura-Uribe
- Subdirección de Gestión de la Investigación, Hospital Infantil de México Federico Gómez, Secretaría de Salud, Mexico City, Mexico
| | - Aldo Javier Rodríguez-Sánchez de Tagle
- Unidad de Investigación Médica en Farmacología, Hospital de Especialidades Bernardo Sepúlveda, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico.,Coordinación de QFBT, Universidad del Valle de México-Chapultepec, México City, México
| | - Elizabeth Ruiz-Sánchez
- Laboratorio de Neurotoxicología, Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suárez, Mexico City, Mexico
| | - Christian Guerra-Araiza
- Unidad de Investigación Médica en Farmacología, Hospital de Especialidades Bernardo Sepúlveda, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| |
Collapse
|
45
|
Solje E, Benussi A, Buratti E, Remes AM, Haapasalo A, Borroni B. State-of-the-Art Methods and Emerging Fluid Biomarkers in the Diagnostics of Dementia-A Short Review and Diagnostic Algorithm. Diagnostics (Basel) 2021; 11:diagnostics11050788. [PMID: 33925655 PMCID: PMC8145467 DOI: 10.3390/diagnostics11050788] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 04/21/2021] [Accepted: 04/22/2021] [Indexed: 12/12/2022] Open
Abstract
The most common neurodegenerative dementias include Alzheimer’s disease (AD), dementia with Lewy bodies (DLB), and frontotemporal dementia (FTD). The correct etiology-based diagnosis is pivotal for clinical management of these diseases as well as for the suitable timing and choosing the accurate disease-modifying therapies when these become available. Enzyme-linked immunosorbent assay (ELISA)-based methods, detecting altered levels of cerebrospinal fluid (CSF) Tau, phosphorylated Tau, and Aβ-42 in AD, allowed the wide use of this set of biomarkers in clinical practice. These analyses demonstrate a high diagnostic accuracy in AD but suffer from a relatively restricted usefulness due to invasiveness and lack of prognostic value. In recent years, the development of novel advanced techniques has offered new state-of-the-art opportunities in biomarker discovery. These include single molecule array technology (SIMOA), a tool for non-invasive analysis of ultra-low levels of central nervous system-derived molecules from biofluids, such as CSF or blood, and real-time quaking (RT-QuIC), developed to analyze misfolded proteins. In the present review, we describe the history of methods used in the fluid biomarker analyses of dementia, discuss specific emerging biomarkers with translational potential for clinical use, and suggest an algorithm for the use of new non-invasive blood biomarkers in clinical practice.
Collapse
Affiliation(s)
- Eino Solje
- Institute of Clinical Medicine-Neurology, University of Eastern Finland, 70211 Kuopio, Finland;
- Neuro Center, Neurology, Kuopio University Hospital, 70029 Kuopio, Finland
| | - Alberto Benussi
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, 25121 Brescia, Italy;
| | - Emanuele Buratti
- International Centre for Genetic Engineering and Biotechnology, 34149 Trieste, Italy;
| | - Anne M. Remes
- Research Unit of Clinical Neuroscience, Neurology, University of Oulu, 90230 Oulu, Finland;
- Medical Research Center (MRC), Oulu University Hospital, 90220 Oulu, Finland
| | - Annakaisa Haapasalo
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, 70211 Kuopio, Finland;
| | - Barbara Borroni
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, 25121 Brescia, Italy;
- Correspondence:
| |
Collapse
|
46
|
Ding X, Zhang S, Jiang L, Wang L, Li T, Lei P. Ultrasensitive assays for detection of plasma tau and phosphorylated tau 181 in Alzheimer's disease: a systematic review and meta-analysis. Transl Neurodegener 2021; 10:10. [PMID: 33712071 PMCID: PMC7953695 DOI: 10.1186/s40035-021-00234-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Accepted: 02/24/2021] [Indexed: 02/08/2023] Open
Abstract
A lack of convenient and reliable biomarkers for diagnosis and prognosis is a common challenge for neurodegenerative diseases such as Alzheimer's disease (AD). Recent advancement in ultrasensitive protein assays has allowed the quantification of tau and phosphorylated tau proteins in peripheral plasma. Here we identified 66 eligible studies reporting quantification of plasma tau and phosphorylated tau 181 (ptau181) using four ultrasensitive methods. Meta-analysis of these studies confirmed that the AD patients had significantly higher plasma tau and ptau181 levels compared with controls, and that the plasma tau and ptau181 could predict AD with high-accuracy area under curve of the Receiver Operating Characteristic. Therefore, plasma tau and plasma ptau181 can be considered as biomarkers for AD diagnosis.
Collapse
Affiliation(s)
- Xulong Ding
- Department of Neurology and State Key Laboratory of Biotherapy/Collaborative Innovation Center for Biotherapy, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Shuting Zhang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Lijun Jiang
- Mental Health Center and West China Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Lu Wang
- Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Tao Li
- Mental Health Center and West China Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
| | - Peng Lei
- Department of Neurology and State Key Laboratory of Biotherapy/Collaborative Innovation Center for Biotherapy, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, China.
| |
Collapse
|
47
|
Jayachandran M, Miller VM, Lahr BD, Bailey KR, Lowe VJ, Fields JA, Mielke MM, Kantarci K. Peripheral Markers of Neurovascular Unit Integrity and Amyloid-β in the Brains of Menopausal Women. J Alzheimers Dis 2021; 80:397-405. [PMID: 33554914 PMCID: PMC8075395 DOI: 10.3233/jad-201410] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND The identification of blood-borne biomarkers for the diagnosis and prognosis of Alzheimer's disease and related dementias is more feasible at the population level than obtaining cerebrospinal fluid or neuroimaging markers. OBJECTIVE This study determined the association of blood microvesicles, derived from cells of the neurovascular unit, with brain amyloid-β deposition in menopausal women. METHODS A subset of women from the Kronos Early Estrogen Prevention Study underwent brain amyloid-β positron emission tomography three years following cessation of study treatment with placebo (PL, n = 29), transdermal 17β-estradiol (tE2; n = 21), or oral conjugated equine estrogen (oCEE; n = 17). Isolated peripheral venous blood microvesicles were analyzed by digital flow cytometry using fluorophore conjugated antibodies directed toward total tau, amyloid-β 1-42 (Aβ1-42), neuron specific class III β-tubulin (Tuj1), microglia ionized calcium -binding adaptor molecule 1(Iba1), glial fibrillary acid protein (GFAP), and low density lipoprotein receptor-related protein1 (LRP1). Principal components analysis reduced the dimensionality of these selected six markers to two principal components (PCs). Proportional odds ordinal logistic regression analysis was used with amyloid-β deposition regressed on these PCs. RESULTS Only the number of microvesicles positive for Aβ1-42 differed statistically among prior treatment groups (median [IQR]: 6.06 [2.11, 12.55] in PL; 2.49 [0.73, 3.59] in tE2; and 4.96 [0.83, 10.31] in oCEE; p = 0.032). The joint association between the 2 PCs and brain amyloid-β deposition was significant (p = 0.045). CONCLUSION Six selected markers expressing peripheral blood microvesicles derived from cells of the neurovascular unit, when summarized into two principal components, were associated with brain amyloid-β deposition.
Collapse
Affiliation(s)
- Muthuvel Jayachandran
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, USA.,Department of Internal Medicine, Divisions of Nephrology and Hypertension and Hematology Research, Mayo Clinic, Rochester, MN, USA
| | - Virginia M Miller
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, USA.,Department of Surgery, Mayo Clinic, Rochester, MN, USA
| | - Brian D Lahr
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Kent R Bailey
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Val J Lowe
- Department of Radiology, Division of Nuclear Medicine, Mayo Clinic, Rochester, MN, USA
| | - Julie A Fields
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Michelle M Mielke
- Department of Health Science Research, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - Kejal Kantarci
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| |
Collapse
|
48
|
Campese N, Palermo G, Del Gamba C, Beatino MF, Galgani A, Belli E, Del Prete E, Della Vecchia A, Vergallo A, Siciliano G, Ceravolo R, Hampel H, Baldacci F. Progress regarding the context-of-use of tau as biomarker of Alzheimer's disease and other neurodegenerative diseases. Expert Rev Proteomics 2021; 18:27-48. [PMID: 33545008 DOI: 10.1080/14789450.2021.1886929] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Introduction: Tau protein misfolding and accumulation in toxic species is a critical pathophysiological process of Alzheimer's disease (AD) and other neurodegenerative disorders (NDDs). Tau biomarkers, namely cerebrospinal fluid (CSF) total-tau (t-tau), 181-phosphorylated tau (p-tau), and tau-PET tracers, have been recently embedded in the diagnostic criteria for AD. Nevertheless, the role of tau as a diagnostic and prognostic biomarker for other NDDs remains controversial.Areas covered: We performed a systematical PubMed-based review of the most recent advances in tau-related biomarkers for NDDs. We focused on papers published from 2015 to 2020 assessing the diagnostic or prognostic value of each biomarker.Expert opinion: The assessment of tau biomarkers in alternative easily accessible matrices, through the development of ultrasensitive techniques, represents the most significant perspective for AD-biomarker research. In NDDs, novel tau isoforms (e.g. p-tau217) or proteolytic fragments (e.g. N-terminal fragments) may represent candidate diagnostic and prognostic biomarkers and may help monitoring disease progression. Protein misfolding amplification assays, allowing the identification of different tau strains (e.g. 3 R- vs. 4 R-tau) in CSF, may constitute a breakthrough for the in vivo stratification of NDDs. Tau-PET may help tracking the spatial-temporal evolution of tau pathophysiology in AD but its application outside the AD-spectrum deserves further studies.
Collapse
Affiliation(s)
- Nicole Campese
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Giovanni Palermo
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Claudia Del Gamba
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | | | - Alessandro Galgani
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Elisabetta Belli
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Eleonora Del Prete
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | | | - Andrea Vergallo
- GRC N° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard De L'hôpital, Sorbonne University, Paris, France
| | - Gabriele Siciliano
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Roberto Ceravolo
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Harald Hampel
- GRC N° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard De L'hôpital, Sorbonne University, Paris, France
| | - Filippo Baldacci
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.,GRC N° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard De L'hôpital, Sorbonne University, Paris, France
| |
Collapse
|
49
|
Differential longitudinal changes of neuronal and glial damage markers in anorexia nervosa after partial weight restoration. Transl Psychiatry 2021; 11:86. [PMID: 33558486 PMCID: PMC7870648 DOI: 10.1038/s41398-021-01209-w] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 12/08/2020] [Accepted: 12/11/2020] [Indexed: 12/13/2022] Open
Abstract
Atrophic brain changes in acute anorexia nervosa (AN) are often visible to the naked eye on computed tomography or magnetic resonance imaging scans, but it remains unclear what is driving these effects. In neurological diseases, neurofilament light (NF-L) and tau protein have been linked to axonal damage. Glial fibrillary acidic protein (GFAP) has been associated with astroglial injury. In an attempt to shed new light on factors potentially underlying past findings of structural brain alterations in AN, the current study investigated serum NF-L, tau protein, and GFAP levels longitudinally in AN patients undergoing weight restoration. Blood samples were obtained from 54 acutely underweight, predominantly adolescent female AN patients and 54 age-matched healthy control participants. AN patients were studied in the severely underweight state and again after short-term partial weight restoration. Group comparisons revealed higher levels of NF-L, tau protein, and GFAP in acutely underweight patients with AN compared to healthy control participants. Longitudinally, a decrease in NF-L and GFAP but not in tau protein levels was observed in AN patients upon short-term partial weight restoration. These results may be indicative of ongoing neuronal and astroglial injury during the underweight phase of AN. Normalization of NF-L and GFAP but not tau protein levels may indicate an only partial restoration of neuronal and astroglial integrity upon weight gain after initial AN-associated cell damage processes.
Collapse
|
50
|
Vergallo A, Lemercier P, Cavedo E, Lista S, Vanmechelen E, De Vos A, Zetterberg H, Blennow K, Habert MO, Potier MC, Dubois B, Teipel S, Hampel H. Plasma β-secretase1 concentrations correlate with basal forebrain atrophy and neurodegeneration in cognitively healthy individuals at risk for AD. Alzheimers Dement 2021; 17:629-640. [PMID: 33527718 DOI: 10.1002/alz.12228] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 09/19/2020] [Accepted: 10/12/2020] [Indexed: 12/27/2022]
Abstract
BACKGROUND Increased β-secretase 1 (BACE1) protein concentration, in body fluids, is a candidate biomarker of Alzheimer's disease (AD).We reported that plasma BACE1 protein concentrations are associated with the levels of brain amyloidβ (Αβ) accumulation in cognitively healthy individuals with subjective memory complaint (SMC). METHODS In 302 individuals from the same cohort, we investigated the cross-sectional and longitudinal association between plasma BACE1 protein concentrations and AD biomarkers of neurodegeneration (plasma t-tau and Neurofilament light chain (NfL), fluorodeoxyglucose-positron emission tomography (FDG-PET), brain volumes in the basal forebrain [BF], hippocampus, and entorhinal cortex). RESULTS We report a positive longitudinal correlation of BACE1 with both NfL and t-tau, as well as a correlation between annual BACE1 changes and bi-annual reduction of BF volume. We show a positive association between BACE1 and FDG-PET signal at baseline. CONCLUSIONS The association between plasma BACE1 protein concentrations and BF atrophy we found in cognitively healthy individuals with SMC corroborates translational studies, suggesting a role of BACE1 in neurodegeneration.
Collapse
Affiliation(s)
- Andrea Vergallo
- Sorbonne University, GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard de l'hôpital, Paris, France
| | - Pablo Lemercier
- Sorbonne University, GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard de l'hôpital, Paris, France
| | - Enrica Cavedo
- Sorbonne University, GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard de l'hôpital, Paris, France
| | - Simone Lista
- Sorbonne University, GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard de l'hôpital, Paris, France
| | | | | | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and 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, Queen Square, London, UK.,UK Dementia Research Institute at UCL, London, UK
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
| | - Marie-Odile Habert
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, F-75013, Paris, France.,Centre pour l'Acquisition et le Traitement des Images, Paris, France.,AP-HP, Hôpital Pitié-Salpêtrière, Département de Médecine Nucléaire, Paris, France
| | - Marie-Claude Potier
- ICM Institut du Cerveau et de la Moelle épinière, CNRS UMR7225, INSERM U1127, UPMC, Hôpital de la Pitié-Salpêtrière, 47 Bd de l'Hôpital, Paris, France
| | - Bruno Dubois
- Sorbonne University, GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard de l'hôpital, Paris, France
| | - Stefan Teipel
- Clinical Dementia Research Section, German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany.,Department of Psychosomatic Medicine, University Medicine Rostock, Rostock, Germany
| | - Harald Hampel
- Sorbonne University, GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard de l'hôpital, Paris, France
| | -
- Sorbonne University, GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard de l'hôpital, Paris, France
| |
Collapse
|