1
|
Blandino V, Colletti T, Ribisi P, Tarantino D, Mosca V, Agnello L, Ciaccio M, Piccoli T. Cerebrospinal Fluid Neurofilaments Light-Chain Differentiate Patients Affected by Alzheimer's Disease with Different Rate of Progression (RoP): A Preliminary Study. Brain Sci 2024; 14:960. [PMID: 39451975 PMCID: PMC11505946 DOI: 10.3390/brainsci14100960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2024] [Revised: 09/22/2024] [Accepted: 09/23/2024] [Indexed: 10/26/2024] Open
Abstract
Alzheimer's disease (AD) is the most common neurodegenerative disorder and a leading cause of dementia. One major challenge for clinicians is accurately assessing the rate of disease progression (RoP) early in the diagnostic process, which is crucial for patient management and clinical trial stratification. This study evaluated the role of cerebrospinal fluid biomarkers-Aβ42, t-Tau, pTau, Neurogranin (Ng), and Neurofilament light-chain (NF-L)-in predicting RoP at the time of AD diagnosis. We included 56 AD patients and monitored cognitive impairment using MMSE scores at diagnosis and during six-month follow-up visits. RoP scores were calculated based on these assessments. Our correlation analyses revealed significant associations between RoP and pTau, Aβ42/Ng ratio, and NF-L levels. When patients were stratified by median RoP values into low-to-moderate (L-M: <2) and upper-moderate (U-M: >2) groups, those in the U-M group had notably higher CSF NF-L levels compared to the L-M group. Logistic regression analysis further demonstrated that elevated CSF NF-L levels were predictive of a faster RoP. These findings highlight the potential of CSF NF-L as a prognostic biomarker for rapid disease progression in AD. By identifying patients at risk for accelerated cognitive decline, CSF NF-L could significantly enhance early intervention strategies and improve patient management in clinical settings.
Collapse
Affiliation(s)
- Valeria Blandino
- Cognitive and Memory Disorders Clinic, AOUP “Paolo Giaccone” University Teaching Hospital, Department of Biomedicine, Neurosciences, and Advanced Diagnostics (Bi.N.D.), University of Palermo, 90127 Palermo, Italy; (V.B.); (T.C.); (P.R.); (D.T.)
| | - Tiziana Colletti
- Cognitive and Memory Disorders Clinic, AOUP “Paolo Giaccone” University Teaching Hospital, Department of Biomedicine, Neurosciences, and Advanced Diagnostics (Bi.N.D.), University of Palermo, 90127 Palermo, Italy; (V.B.); (T.C.); (P.R.); (D.T.)
| | - Paolo Ribisi
- Cognitive and Memory Disorders Clinic, AOUP “Paolo Giaccone” University Teaching Hospital, Department of Biomedicine, Neurosciences, and Advanced Diagnostics (Bi.N.D.), University of Palermo, 90127 Palermo, Italy; (V.B.); (T.C.); (P.R.); (D.T.)
| | - Domenico Tarantino
- Cognitive and Memory Disorders Clinic, AOUP “Paolo Giaccone” University Teaching Hospital, Department of Biomedicine, Neurosciences, and Advanced Diagnostics (Bi.N.D.), University of Palermo, 90127 Palermo, Italy; (V.B.); (T.C.); (P.R.); (D.T.)
| | - Viviana Mosca
- Cognitive and Memory Disorders Clinic, AOUP “Paolo Giaccone” University Teaching Hospital, Department of Biomedicine, Neurosciences, and Advanced Diagnostics (Bi.N.D.), University of Palermo, 90127 Palermo, Italy; (V.B.); (T.C.); (P.R.); (D.T.)
| | - Luisa Agnello
- Institute of Clinical Biochemistry, Clinical Molecular Medicine, and Clinical Laboratory Medicine, Department of Biomedicine, Neurosciences, and Advanced Diagnostics (Bi.N.D), University of Palermo, 90127 Palermo, Italy; (L.A.); (M.C.)
| | - Marcello Ciaccio
- Institute of Clinical Biochemistry, Clinical Molecular Medicine, and Clinical Laboratory Medicine, Department of Biomedicine, Neurosciences, and Advanced Diagnostics (Bi.N.D), University of Palermo, 90127 Palermo, Italy; (L.A.); (M.C.)
- Department of Laboratory Medicine, University Hospital “P. Giaccone”, 90127 Palermo, Italy
| | - Tommaso Piccoli
- Cognitive and Memory Disorders Clinic, AOUP “Paolo Giaccone” University Teaching Hospital, Department of Biomedicine, Neurosciences, and Advanced Diagnostics (Bi.N.D.), University of Palermo, 90127 Palermo, Italy; (V.B.); (T.C.); (P.R.); (D.T.)
| |
Collapse
|
2
|
Minguillón Pereiro AM, Quintáns Castro B, Ouro Villasante A, Aldrey Vázquez JM, Cortés Hernández J, Aramburu-Núñez M, Arias Gómez M, Jiménez Martín I, Sobrino T, Pías-Peleteiro JM. PSEN2 Mutations May Mimic Frontotemporal Dementia: Two New Case Reports and a Review. Biomedicines 2024; 12:1881. [PMID: 39200345 PMCID: PMC11351743 DOI: 10.3390/biomedicines12081881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2024] [Revised: 08/07/2024] [Accepted: 08/08/2024] [Indexed: 09/02/2024] Open
Abstract
BACKGROUND Monogenic Alzheimer's disease (AD) has severe health and socioeconomic repercussions. Its rarest cause is presenilin 2 (PSEN2) gene mutations. We present two new cases with presumed PSEN2-AD with unusual clinical and neuroimaging findings in order to provide more information on the pathophysiology and semiology of these patients. METHODS Women aged 69 and 62 years at clinical onset, marked by prominent behavioral and language dysfunction, progressing to severe dementia within three years were included. The complete study is depicted. In addition, a systematic review of the PSEN2-AD was performed. RESULTS Neuroimaging revealed pronounced frontal white matter hyperintensities (WMH) and frontotemporal atrophy/hypometabolism. The genetic study unveiled PSEN2 variants: c.772G>A (p.Ala258Thr) and c.1073-2_1073-1del. Both cerebrospinal fluid (CSF) and experimental blood biomarkers shouldered AD etiology. CONCLUSIONS Prominent behavioral and language dysfunction suggesting frontotemporal dementia (FTD) may be underestimated in the literature as a clinical picture in PSEN2 mutations. Thus, it may be reasonable to include PSEN2 in genetic panels when suspecting FTDL. PSEN2 mutations may cause striking WMH, arguably related to myelin disruption induced by amyloid accumulation.
Collapse
Affiliation(s)
- Anxo Manuel Minguillón Pereiro
- Servicio de Neurología, Hospital Clínico Universitario Santiago de Compostela, Travesía de Choupana, 15706 Santiago de Compostela, Spain (J.M.P.-P.)
| | - Beatriz Quintáns Castro
- Fundación Pública Galega de Medicina Xenómica, Hospital Clínico Universitario Santiago de Compostela, Rúa da Choupana, 15706 Santiago de Compostela, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER-U711), 15706 Santiago de Compostela, Spain
| | - Alberto Ouro Villasante
- NeuroAging Laboratory (NEURAL) Group, Clinical Neurosciences Research Laboratory (LINC), Health Research Institute of Santiago de Compostela (IDIS), Hospital Clínico Universitario, 15706 Santiago de Compostela, Spain; (A.O.V.)
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - José Manuel Aldrey Vázquez
- Servicio de Neurología, Hospital Clínico Universitario Santiago de Compostela, Travesía de Choupana, 15706 Santiago de Compostela, Spain (J.M.P.-P.)
- NeuroAging Laboratory (NEURAL) Group, Clinical Neurosciences Research Laboratory (LINC), Health Research Institute of Santiago de Compostela (IDIS), Hospital Clínico Universitario, 15706 Santiago de Compostela, Spain; (A.O.V.)
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Julia Cortés Hernández
- Servicio de Medicina Nuclear, Sección de Sistema Nervioso Central, Hospital Clínico Universitario Santiago de Compostela, Travesía de Choupana, 15706 Santiago de Compostela, Spain
| | - Marta Aramburu-Núñez
- NeuroAging Laboratory (NEURAL) Group, Clinical Neurosciences Research Laboratory (LINC), Health Research Institute of Santiago de Compostela (IDIS), Hospital Clínico Universitario, 15706 Santiago de Compostela, Spain; (A.O.V.)
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Manuel Arias Gómez
- Servicio de Neurología, Hospital Clínico Universitario Santiago de Compostela, Travesía de Choupana, 15706 Santiago de Compostela, Spain (J.M.P.-P.)
| | - Isabel Jiménez Martín
- Unidad de Neuropsicologia Clínica, Hospital Clínico Universitario Santiago de Compostela, Travesía de Choupana, 15706 Santiago de Compostela, Spain
| | - Tomás Sobrino
- NeuroAging Laboratory (NEURAL) Group, Clinical Neurosciences Research Laboratory (LINC), Health Research Institute of Santiago de Compostela (IDIS), Hospital Clínico Universitario, 15706 Santiago de Compostela, Spain; (A.O.V.)
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Juan Manuel Pías-Peleteiro
- Servicio de Neurología, Hospital Clínico Universitario Santiago de Compostela, Travesía de Choupana, 15706 Santiago de Compostela, Spain (J.M.P.-P.)
- NeuroAging Laboratory (NEURAL) Group, Clinical Neurosciences Research Laboratory (LINC), Health Research Institute of Santiago de Compostela (IDIS), Hospital Clínico Universitario, 15706 Santiago de Compostela, Spain; (A.O.V.)
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, 28029 Madrid, Spain
| |
Collapse
|
3
|
Fernandes S, Revanna J, Pratt J, Hayes N, Marchetto MC, Gage FH. Modeling Alzheimer's disease using human cell derived brain organoids and 3D models. Front Neurosci 2024; 18:1434945. [PMID: 39156632 PMCID: PMC11328153 DOI: 10.3389/fnins.2024.1434945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2024] [Accepted: 07/10/2024] [Indexed: 08/20/2024] Open
Abstract
Age-related neurodegenerative diseases, like Alzheimer's disease (AD), are challenging diseases for those affected with no cure and limited treatment options. Functional, human derived brain tissues that represent the diverse genetic background and cellular subtypes contributing to sporadic AD (sAD) are limited. Human stem cell derived brain organoids recapitulate some features of human brain cytoarchitecture and AD-like pathology, providing a tool for illuminating the relationship between AD pathology and neural cell dysregulation leading to cognitive decline. In this review, we explore current strategies for implementing brain organoids in the study of AD as well as the challenges associated with investigating age-related brain diseases using organoid models.
Collapse
Affiliation(s)
- Sarah Fernandes
- Laboratory of Genetics, The Salk Institute for Biological Studies, La Jolla, CA, United States
- Department of Biological Sciences, University of California, San Diego, La Jolla, CA, United States
| | - Jasmin Revanna
- Laboratory of Genetics, The Salk Institute for Biological Studies, La Jolla, CA, United States
- Department of Biological Sciences, University of California, San Diego, La Jolla, CA, United States
| | - Joshua Pratt
- Laboratory of Genetics, The Salk Institute for Biological Studies, La Jolla, CA, United States
- Department of Biology, San Diego State University, San Diego, CA, United States
| | - Nicholas Hayes
- Laboratory of Genetics, The Salk Institute for Biological Studies, La Jolla, CA, United States
- Department of Biological Sciences, California State University, San Marcos, CA, United States
| | - Maria C. Marchetto
- Department of Anthropology, Center for Academic Research and Training in Anthropogeny (CARTA), University of California, San Diego, La Jolla, CA, United States
| | - Fred H. Gage
- Laboratory of Genetics, The Salk Institute for Biological Studies, La Jolla, CA, United States
| |
Collapse
|
4
|
Im D, Choi TS. Distinctive contribution of two additional residues in protein aggregation of Aβ42 and Aβ40 isoforms. BMB Rep 2024; 57:263-272. [PMID: 38835114 PMCID: PMC11214890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 04/16/2024] [Accepted: 04/26/2024] [Indexed: 06/06/2024] Open
Abstract
Amyloid-β (Aβ) is one of the amyloidogenic intrinsically disordered proteins (IDPs) that self-assemble to protein aggregates, incurring cell malfunction and cytotoxicity. While Aβ has been known to regulate multiple physiological functions, such as enhancing synaptic functions, aiding in the recovery of the blood-brain barrier/brain injury, and exhibiting tumor suppression/antimicrobial activities, the hydrophobicity of the primary structure promotes pathological aggregations that are closely associated with the onset of Alzheimer's disease (AD). Aβ proteins consist of multiple isoforms with 37-43 amino acid residues that are produced by the cleavage of amyloid-β precursor protein (APP). The hydrolytic products of APP are secreted to the extracellular regions of neuronal cells. Aβ 1-42 (Aβ42) and Aβ 1-40 (Aβ40) are dominant isoforms whose significance in AD pathogenesis has been highlighted in numerous studies to understand the molecular mechanism and develop AD diagnosis and therapeutic strategies. In this review, we focus on the differences between Aβ42 and Aβ40 in the molecular mechanism of amyloid aggregations mediated by the two additional residues (Ile41 and Ala42) of Aβ42. The current comprehension of Aβ42 and Aβ40 in AD progression is outlined, together with the structural features of Aβ42/Aβ40 amyloid fibrils, and the aggregation mechanisms of Aβ42/Aβ40. Furthermore, the impact of the heterogeneous distribution of Aβ isoforms during amyloid aggregations is discussed in the system mimicking the coexistence of Aβ42 and Aβ40 in human cerebrospinal fluid (CSF) and plasma. [BMB Reports 2024; 57(6): 263-272].
Collapse
Affiliation(s)
- Dongjoon Im
- Department of Life Sciences, Korea University, Seoul 02841, Korea
| | - Tae Su Choi
- Department of Life Sciences, Korea University, Seoul 02841, Korea
| |
Collapse
|
5
|
Chang HI, Huang KL, Huang CG, Huang CW, Huang SH, Lin KJ, Chang CC. Clinical Significance of the Plasma Biomarker Panels in Amyloid-Negative and Tau PET-Positive Amnestic Patients: Comparisons with Alzheimer's Disease and Unimpaired Cognitive Controls. Int J Mol Sci 2024; 25:5607. [PMID: 38891795 PMCID: PMC11171590 DOI: 10.3390/ijms25115607] [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: 04/12/2024] [Revised: 05/14/2024] [Accepted: 05/15/2024] [Indexed: 06/21/2024] Open
Abstract
The purpose of this study was to investigate whether plasma biomarkers can help to diagnose, differentiate from Alzheimer disease (AD), and stage cognitive performance in patients with positron emission tomography (PET)-confirmed primary age-related tauopathy, termed tau-first cognitive proteinopathy (TCP) in this study. In this multi-center study, we enrolled 285 subjects with young-onset AD (YOAD; n = 55), late-onset AD (LOAD; n = 96), TCP (n = 44), and cognitively unimpaired controls (CTL; n = 90) and analyzed plasma Aβ42/Aβ40, pTau181, neurofilament light (NFL), and total-tau using single-molecule assays. Amyloid and tau centiloids reflected pathological burden, and hippocampal volume reflected structural integrity. Receiver operating characteristic curves and areas under the curves (AUCs) were used to determine the diagnostic accuracy of plasma biomarkers compared to hippocampal volume and amyloid and tau centiloids. The Mini-Mental State Examination score (MMSE) served as the major cognitive outcome. Logistic stepwise regression was used to assess the overall diagnostic accuracy, combining fluid and structural biomarkers and a stepwise linear regression model for the significant variables for MMSE. For TCP, tau centiloid reached the highest AUC for diagnosis (0.79), while pTau181 could differentiate TCP from YOAD (accuracy 0.775) and LOAD (accuracy 0.806). NFL reflected the clinical dementia rating in TCP, while pTau181 (rho = 0.3487, p = 0.03) and Aβ42/Aβ40 (rho = -0.36, p = 0.02) were significantly correlated with tau centiloid. Hippocampal volume (unstandardized β = 4.99, p = 0.01) outperformed all of the fluid biomarkers in predicting MMSE scores in the TCP group. Our results support the superiority of tau PET to diagnose TCP, pTau181 to differentiate TCP from YOAD or LOAD, and NFL for functional staging.
Collapse
Affiliation(s)
- Hsin-I Chang
- Department of Neurology, Cognition and Aging Center, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan; (H.-I.C.); (C.-W.H.)
- Institute for Translational Research in Biomedicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 83301, Taiwan
| | - Kuo-Lun Huang
- Department of Neurology, Linkou Chang Gung Memorial Hospital, Chang Gung University, Taoyuan 333423, Taiwan;
| | - Chung-Gue Huang
- Department of Medical Laboratory, Linkou Chang Gung Memorial Hospital, Department of Medical Bio-Technology and Laboratory Science, Chang Gung University, Taoyuan 333423, Taiwan;
| | - Chi-Wei Huang
- Department of Neurology, Cognition and Aging Center, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan; (H.-I.C.); (C.-W.H.)
| | - Shu-Hua Huang
- Department of Nuclear Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan;
| | - Kun-Ju Lin
- Department of Nuclear Medicine, Linkou Chang Gung Memorial Hospital, Chang Gung University, Taoyuan 333423, Taiwan;
| | - Chiung-Chih Chang
- Department of Neurology, Cognition and Aging Center, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan; (H.-I.C.); (C.-W.H.)
- Institute for Translational Research in Biomedicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 83301, Taiwan
- School of Medicine, College of Medicine, National Sun Yat-sen University, Kaohsiung 80404, Taiwan
| |
Collapse
|
6
|
Gin A, Nguyen PD, Serrano G, Alexander G, Su J. Towards Early Diagnosis and Screening of Alzheimer's Disease Using Frequency Locked Whispering Gallery Mode Microtoroid Biosensors. RESEARCH SQUARE 2024:rs.3.rs-4355995. [PMID: 38798660 PMCID: PMC11118682 DOI: 10.21203/rs.3.rs-4355995/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Alzheimer's disease (AD) is a progressive form of dementia affecting almost 55 million people worldwide. It is characterized by the abnormal deposition of amyloid plaques and neurofibrillary tangles within the brain, leading to a pathological cascade of neuron degeneration and death as well as memory loss and cognitive decline. Amyloid beta (Aβ) is an AD biomarker present in cerebrospinal fluid and blood serum and correlates with the presence of amyloid plaques and tau tangles in the brain. Measuring the levels of Aβ can help with early diagnosis of AD, which is key for studying novel AD drugs and delaying the symptoms of dementia. However, this goal is difficult to achieve due to the low levels of AD biomarkers in biofluids. Here we demonstrate for the first time the use of FLOWER (frequency locked optical whispering evanescent resonator) for quantifying the levels of post-mortem cerebrospinal fluid (CSF) Aβ42 in clinicopathologically classified control, mild cognitive impairment (MCI), and AD participants. FLOWER is capable of measuring CSF Aβ42 (area under curve, AUC = 0.92) with higher diagnostic performance than standard ELISA (AUC = 0.82) and was also able to distinguish between control and MCI samples. Our results demonstrate the capability of FLOWER for screening CSF samples for early diagnosis of Alzheimer's pathology.
Collapse
|
7
|
Jia Z, Maghaydah Y, Zdanys K, Kuchel GA, Diniz BS, Liu C. CRISPR-Powered Aptasensor for Diagnostics of Alzheimer's Disease. ACS Sens 2024; 9:398-405. [PMID: 38154140 DOI: 10.1021/acssensors.3c02167] [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] [Indexed: 12/30/2023]
Abstract
Alzheimer's disease (AD) is a neurodegenerative disorder and the most common cause of dementia, characterized by the accumulation of amyloid beta (Aβ) peptides in the brain. Here, we present a simple, rapid, and affordable CRISPR-powered aptasensor for the quantitative detection of Aβ40 and Aβ42 biomarkers in cerebrospinal fluid (CSF) samples, enabling early and accurate diagnostics of AD patients. The aptasensor couples the high specificity of aptamers for Aβ biomarkers with CRISPR-Cas12a-based fluorescence detection. The CRISPR-powered aptasensor enables us to detect Aβ40 and Aβ42 in CSF samples within 60 min, achieving a detection sensitivity of 1 pg/mL and 0.1 pg/mL, respectively. To validate its clinical utility, we quantitatively detected Aβ40 and Aβ42 biomarkers in clinical CSF samples. Furthermore, by combining CSF Aβ42 levels with the c(Aβ42)/c(Aβ40) ratio, we achieved an accurate diagnostic classification of AD patients and healthy individuals, showing superior performance over the conventional ELISA method. We believe that our innovative aptasensor approach holds promise for the early diagnostic classification of AD patients.
Collapse
Affiliation(s)
- Zhengyang Jia
- Department of Biomedical Engineering, University of Connecticut Health Center, Farmington, Connecticut 06030, United States
| | - Yazeed Maghaydah
- Center on Aging, University of Connecticut Health Center, Farmington, Connecticut 06030, United States
| | - Kristina Zdanys
- Department of Psychiatry, Division of Geriatric Psychiatry and Behavioral Health, University of Connecticut Health Center, Farmington, Connecticut 06030, United States
| | - George A Kuchel
- Center on Aging, University of Connecticut Health Center, Farmington, Connecticut 06030, United States
| | - Breno Satler Diniz
- Center on Aging, University of Connecticut Health Center, Farmington, Connecticut 06030, United States
- Department of Psychiatry, Division of Geriatric Psychiatry and Behavioral Health, University of Connecticut Health Center, Farmington, Connecticut 06030, United States
| | - Changchun Liu
- Department of Biomedical Engineering, University of Connecticut Health Center, Farmington, Connecticut 06030, United States
| |
Collapse
|
8
|
Howard E, Moody JN, Prieto S, Hayes JP. Higher Cerebrospinal Fluid Levels of Amyloid-β40 Following Traumatic Brain Injury Relate to Confrontation Naming Performance. J Alzheimers Dis 2024; 100:539-550. [PMID: 38943392 DOI: 10.3233/jad-240254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/01/2024]
Abstract
Background Traumatic brain injury (TBI) may confer risk for Alzheimer's disease (AD) through amyloid-β (Aβ) overproduction. However, the relationship between TBI and Aβ levels in cerebrospinal fluid (CSF) remains unclear. Objective To explore whether Aβ overproduction is implicated in the relationship between TBI and AD, we compared CSF levels of Aβ in individuals with a TBI history versus controls (CTRLs) and related CSF Aβ levels to cognitive markers associated with preclinical AD. Methods Participants were 112 non-impaired Veterans (TBI = 56, CTRL = 56) from the Alzheimer's Disease Neuroimaging Initiative-Department of Defense database with available cognitive data (Boston Naming Test [BNT], Rey Auditory Verbal Learning Test [AVLT]) and CSF measures of Aβ42, Aβ40, and Aβ38. Mediation models explored relationships between TBI history and BNT scores with Aβ peptides as mediators. Results The TBI group had higher CSF Aβ40 (t = -2.43, p = 0.017) and Aβ38 (t = -2.10, p = 0.038) levels than the CTRL group, but groups did not differ in CSF Aβ42 levels or Aβ42/Aβ40 ratios (p > 0.05). Both Aβ peptides negatively correlated with BNT (Aβ40: rho = -0.20, p = 0.032; Aβ38: rho = -0.19, p = 0.048) but not AVLT (p > 0.05). Aβ40 had a significant indirect effect on the relationship between TBI and BNT performance (β= -0.16, 95% CI [-0.393, -0.004], PM = 0.54). Conclusions TBI may increase AD risk and cognitive vulnerability through Aβ overproduction. Biomarker models incorporating multiple Aβ peptides may help identify AD risk among those with TBI.
Collapse
Affiliation(s)
- Erica Howard
- Psychology Department, The Ohio State University, Columbus, OH, USA
| | - Jena N Moody
- Psychology Department, The Ohio State University, Columbus, OH, USA
| | - Sarah Prieto
- Psychology Department, The Ohio State University, Columbus, OH, USA
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Jasmeet P Hayes
- Psychology Department, The Ohio State University, Columbus, OH, USA
- Chronic Brain Injury Initiative, The Ohio State University, Columbus, OH, USA
| |
Collapse
|
9
|
Goodman MJ, Li XR, Livschitz J, Huang CC, Bendlin BB, Granadillo ED. Comparing Symmetric Dimethylarginine and Amyloid-β42 as Predictors of Alzheimer's Disease Development. J Alzheimers Dis Rep 2023; 7:1427-1444. [PMID: 38225970 PMCID: PMC10789286 DOI: 10.3233/adr-230054] [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: 06/30/2023] [Accepted: 11/15/2023] [Indexed: 01/17/2024] Open
Abstract
Background Physicians may soon be able to diagnose Alzheimer's disease (AD) in its early stages using fluid biomarkers like amyloid. However, it is acknowledged that additional biomarkers need to be characterized which would facilitate earlier monitoring of AD pathogenesis. Objective To determine if a potential novel inflammation biomarker for AD, symmetric dimethylarginine, has utility as a baseline serum biomarker for discriminating prodromal AD from cognitively unimpaired controls in comparison to cerebrospinal fluid amyloid-β42 (Aβ42). Methods Data including demographics, magnetic resonance imaging and fluorodeoxyglucose-positron emission tomography scans, Mini-Mental State Examination and Functional Activities Questionnaire scores, and biomarker concentrations were obtained from the Alzheimer's Disease Neuroimaging Initiative for a total of 146 prodromal AD participants and 108 cognitively unimpaired controls. Results Aβ42 (p = 0.65) and symmetric dimethylarginine (p = 0.45) were unable to predict age-matched cognitively unimpaired controls and prodromal AD participants. Aβ42 was negatively associated with regional brain atrophy and hypometabolism as well as cognitive and functional decline in cognitively unimpaired control participants (p < 0.05) that generally decreased in time. There were no significant associations between Aβ42 and symmetric dimethylarginine with imaging or neurocognitive biomarkers in prodromal AD patients. Conclusions Correlations were smaller between Aβ42 and neuropathological biomarkers over time and were absent in prodromal AD participants, suggesting a plateau effect dependent on age and disease stage. Evidence supporting symmetric dimethylarginine as a novel biomarker for AD as a single measurement was not found.
Collapse
Affiliation(s)
| | - Xin Ran Li
- Medical College of Wisconsin, Wauwatosa, WI, USA
| | | | | | | | - Elias D. Granadillo
- Medical College of Wisconsin, Wauwatosa, WI, USA
- University of Wisconsin, Madison, WI, USA
| | | |
Collapse
|
10
|
Aksman LM, Oxtoby NP, Scelsi MA, Wijeratne PA, Young AL, Alves IL, Collij LE, Vogel JW, Barkhof F, Alexander DC, Altmann A. A data-driven study of Alzheimer's disease related amyloid and tau pathology progression. Brain 2023; 146:4935-4948. [PMID: 37433038 PMCID: PMC10690020 DOI: 10.1093/brain/awad232] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 06/12/2023] [Accepted: 06/29/2023] [Indexed: 07/13/2023] Open
Abstract
Amyloid-β is thought to facilitate the spread of tau throughout the neocortex in Alzheimer's disease, though how this occurs is not well understood. This is because of the spatial discordance between amyloid-β, which accumulates in the neocortex, and tau, which accumulates in the medial temporal lobe during ageing. There is evidence that in some cases amyloid-β-independent tau spreads beyond the medial temporal lobe where it may interact with neocortical amyloid-β. This suggests that there may be multiple distinct spatiotemporal subtypes of Alzheimer's-related protein aggregation, with potentially different demographic and genetic risk profiles. We investigated this hypothesis, applying data-driven disease progression subtyping models to post-mortem neuropathology and in vivo PET-based measures from two large observational studies: the Alzheimer's Disease Neuroimaging Initiative (ADNI) and the Religious Orders Study and Rush Memory and Aging Project (ROSMAP). We consistently identified 'amyloid-first' and 'tau-first' subtypes using cross-sectional information from both studies. In the amyloid-first subtype, extensive neocortical amyloid-β precedes the spread of tau beyond the medial temporal lobe, while in the tau-first subtype, mild tau accumulates in medial temporal and neocortical areas prior to interacting with amyloid-β. As expected, we found a higher prevalence of the amyloid-first subtype among apolipoprotein E (APOE) ε4 allele carriers while the tau-first subtype was more common among APOE ε4 non-carriers. Within tau-first APOE ε4 carriers, we found an increased rate of amyloid-β accumulation (via longitudinal amyloid PET), suggesting that this rare group may belong within the Alzheimer's disease continuum. We also found that tau-first APOE ε4 carriers had several fewer years of education than other groups, suggesting a role for modifiable risk factors in facilitating amyloid-β-independent tau. Tau-first APOE ε4 non-carriers, in contrast, recapitulated many of the features of primary age-related tauopathy. The rate of longitudinal amyloid-β and tau accumulation (both measured via PET) within this group did not differ from normal ageing, supporting the distinction of primary age-related tauopathy from Alzheimer's disease. We also found reduced longitudinal subtype consistency within tau-first APOE ε4 non-carriers, suggesting additional heterogeneity within this group. Our findings support the idea that amyloid-β and tau may begin as independent processes in spatially disconnected regions, with widespread neocortical tau resulting from the local interaction of amyloid-β and tau. The site of this interaction may be subtype-dependent: medial temporal lobe in amyloid-first, neocortex in tau-first. These insights into the dynamics of amyloid-β and tau may inform research and clinical trials that target these pathologies.
Collapse
Affiliation(s)
- Leon M Aksman
- Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London WC1V 6LJ, UK
| | - Neil P Oxtoby
- Centre for Medical Image Computing, Department of Computer Science, University College London, London WC1V 6LJ, UK
| | - Marzia A Scelsi
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London WC1V 6LJ, UK
| | - Peter A Wijeratne
- Centre for Medical Image Computing, Department of Computer Science, University College London, London WC1V 6LJ, UK
| | - Alexandra L Young
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 8AF, UK
- Centre for Medical Image Computing, Department of Computer Science, University College London, London WC1V 6LJ, UK
| | | | - Lyduine E Collij
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam 1007MB, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam 1081 HV, The Netherlands
| | - Jacob W Vogel
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA
- Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Frederik Barkhof
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London WC1V 6LJ, UK
- Brain Research Center, Amsterdam 1081 GN, The Netherlands
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam 1007MB, The Netherlands
| | - Daniel C Alexander
- Centre for Medical Image Computing, Department of Computer Science, University College London, London WC1V 6LJ, UK
| | - Andre Altmann
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London WC1V 6LJ, UK
| | | |
Collapse
|
11
|
Abdelmoaty MM, Lu E, Kadry R, Foster EG, Bhattarai S, Mosley RL, Gendelman HE. Clinical biomarkers for Lewy body diseases. Cell Biosci 2023; 13:209. [PMID: 37964309 PMCID: PMC10644566 DOI: 10.1186/s13578-023-01152-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 10/24/2023] [Indexed: 11/16/2023] Open
Abstract
Synucleinopathies are a group of neurodegenerative disorders characterized by pathologic aggregates of neural and glial α-synuclein (α-syn) in the form of Lewy bodies (LBs), Lewy neurites, and cytoplasmic inclusions in both neurons and glia. Two major classes of synucleinopathies are LB disease and multiple system atrophy. LB diseases include Parkinson's disease (PD), PD with dementia, and dementia with LBs. All are increasing in prevalence. Effective diagnostics, disease-modifying therapies, and therapeutic monitoring are urgently needed. Diagnostics capable of differentiating LB diseases are based on signs and symptoms which might overlap. To date, no specific diagnostic test exists despite disease-specific pathologies. Diagnostics are aided by brain imaging and cerebrospinal fluid evaluations, but more accessible biomarkers remain in need. Mechanisms of α-syn evolution to pathologic oligomers and insoluble fibrils can provide one of a spectrum of biomarkers to link complex neural pathways to effective therapies. With these in mind, we review promising biomarkers linked to effective disease-modifying interventions.
Collapse
Affiliation(s)
- Mai M Abdelmoaty
- Department of Pharmacology and Experimental Neuroscience, College of Medicine, University of Nebraska Medical Center, Omaha, NE, 68198, USA
| | - Eugene Lu
- Department of Pharmacology and Experimental Neuroscience, College of Medicine, University of Nebraska Medical Center, Omaha, NE, 68198, USA
| | - Rana Kadry
- Department of Cellular and Integrative Physiology, University of Nebraska Medical Center, Omaha, NE, 68198, USA
| | - Emma G Foster
- Department of Pharmacology and Experimental Neuroscience, College of Medicine, University of Nebraska Medical Center, Omaha, NE, 68198, USA
| | - Shaurav Bhattarai
- Department of Pharmacology and Experimental Neuroscience, College of Medicine, University of Nebraska Medical Center, Omaha, NE, 68198, USA
| | - R Lee Mosley
- Department of Pharmacology and Experimental Neuroscience, College of Medicine, University of Nebraska Medical Center, Omaha, NE, 68198, USA
| | - Howard E Gendelman
- Department of Pharmacology and Experimental Neuroscience, College of Medicine, University of Nebraska Medical Center, Omaha, NE, 68198, USA.
| |
Collapse
|
12
|
Kang JH, Korecka M, Lee EB, Cousins KAQ, Tropea TF, Chen-Plotkin AA, Irwin DJ, Wolk D, Brylska M, Wan Y, Shaw LM. Alzheimer Disease Biomarkers: Moving from CSF to Plasma for Reliable Detection of Amyloid and tau Pathology. Clin Chem 2023; 69:1247-1259. [PMID: 37725909 PMCID: PMC10895336 DOI: 10.1093/clinchem/hvad139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 07/07/2023] [Indexed: 09/21/2023]
Abstract
BACKGROUND Development of validated biomarkers to detect early Alzheimer disease (AD) neuropathology is needed for therapeutic AD trials. Abnormal concentrations of "core" AD biomarkers, cerebrospinal fluid (CSF) amyloid beta1-42, total tau, and phosphorylated tau correlate well with neuroimaging biomarkers and autopsy findings. Nevertheless, given the limitations of established CSF and neuroimaging biomarkers, accelerated development of blood-based AD biomarkers is underway. CONTENT Here we describe the clinical significance of CSF and plasma AD biomarkers to detect disease pathology throughout the Alzheimer continuum and correlate with imaging biomarkers. Use of the AT(N) classification by CSF and imaging biomarkers provides a more objective biologically based diagnosis of AD than clinical diagnosis alone. Significant progress in measuring CSF AD biomarkers using extensively validated highly automated assay systems has facilitated their transition from research use only to approved in vitro diagnostics tests for clinical use. We summarize development of plasma AD biomarkers as screening tools for enrollment and monitoring participants in therapeutic trials and ultimately in clinical care. Finally, we discuss the challenges for AD biomarkers use in clinical trials and precision medicine, emphasizing the possible ethnocultural differences in the levels of AD biomarkers. SUMMARY CSF AD biomarker measurements using fully automated analytical platforms is possible. Building on this experience, validated blood-based biomarker tests are being implemented on highly automated immunoassay and mass spectrometry platforms. The progress made developing analytically and clinically validated plasma AD biomarkers within the AT(N) classification scheme can accelerate use of AD biomarkers in therapeutic trials and routine clinical practice.
Collapse
Affiliation(s)
- Ju Hee Kang
- Department of Pharmacology and Clinical Pharmacology, Research Center for Controlling Intercellular Communication, Inha University, Incheon, South Korea
| | - Magdalena Korecka
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Edward B Lee
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Katheryn A Q Cousins
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Thomas F Tropea
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Alice A Chen-Plotkin
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - David J Irwin
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - David Wolk
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Magdalena Brylska
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Yang Wan
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Leslie M Shaw
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| |
Collapse
|
13
|
Zilinskaite N, Shukla RP, Baradoke A. Use of 3D Printing Techniques to Fabricate Implantable Microelectrodes for Electrochemical Detection of Biomarkers in the Early Diagnosis of Cardiovascular and Neurodegenerative Diseases. ACS MEASUREMENT SCIENCE AU 2023; 3:315-336. [PMID: 37868357 PMCID: PMC10588936 DOI: 10.1021/acsmeasuresciau.3c00028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 08/25/2023] [Accepted: 08/25/2023] [Indexed: 10/24/2023]
Abstract
This Review provides a comprehensive overview of 3D printing techniques to fabricate implantable microelectrodes for the electrochemical detection of biomarkers in the early diagnosis of cardiovascular and neurodegenerative diseases. Early diagnosis of these diseases is crucial to improving patient outcomes and reducing healthcare systems' burden. Biomarkers serve as measurable indicators of these diseases, and implantable microelectrodes offer a promising tool for their electrochemical detection. Here, we discuss various 3D printing techniques, including stereolithography (SLA), digital light processing (DLP), fused deposition modeling (FDM), selective laser sintering (SLS), and two-photon polymerization (2PP), highlighting their advantages and limitations in microelectrode fabrication. We also explore the materials used in constructing implantable microelectrodes, emphasizing their biocompatibility and biodegradation properties. The principles of electrochemical detection and the types of sensors utilized are examined, with a focus on their applications in detecting biomarkers for cardiovascular and neurodegenerative diseases. Finally, we address the current challenges and future perspectives in the field of 3D-printed implantable microelectrodes, emphasizing their potential for improving early diagnosis and personalized treatment strategies.
Collapse
Affiliation(s)
- Nemira Zilinskaite
- Wellcome/Cancer
Research UK Gurdon Institute, Henry Wellcome Building of Cancer and
Developmental Biology, University of Cambridge, Tennis Court Road, Cambridge CB2 1QN, U.K.
- Faculty
of Medicine, University of Vilnius, M. K. Čiurlionio g. 21, LT-03101 Vilnius, Lithuania
| | - Rajendra P. Shukla
- BIOS
Lab-on-a-Chip Group, MESA+ Institute for Nanotechnology, Max Planck
Center for Complex Fluid Dynamics, University
of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands
| | - Ausra Baradoke
- Wellcome/Cancer
Research UK Gurdon Institute, Henry Wellcome Building of Cancer and
Developmental Biology, University of Cambridge, Tennis Court Road, Cambridge CB2 1QN, U.K.
- Faculty
of Medicine, University of Vilnius, M. K. Čiurlionio g. 21, LT-03101 Vilnius, Lithuania
- BIOS
Lab-on-a-Chip Group, MESA+ Institute for Nanotechnology, Max Planck
Center for Complex Fluid Dynamics, University
of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands
- Center for
Physical Sciences and Technology, Savanoriu 231, LT-02300 Vilnius, Lithuania
| |
Collapse
|
14
|
Siegmann EM, Olm P, Lenz B, Mühle C, Oberstein TJ, Maler JM, Kornhuber J. Digit Ratio (2D:4D) Is Not Associated with Alzheimer's Disease in the Elderly. Brain Sci 2023; 13:1229. [PMID: 37759830 PMCID: PMC10526128 DOI: 10.3390/brainsci13091229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 08/15/2023] [Accepted: 08/19/2023] [Indexed: 09/29/2023] Open
Abstract
The development of Alzheimer's disease (AD) is influenced by sex hormones-estrogens and androgens in particular. However, the impact of prenatal sex hormone exposure is less clear; very few investigations have examined the relationship between the second-to-fourth digit length ratio (2D:4D), a putative proxy for the ratio of prenatal estrogens to androgens, and AD, with inconsistent results among the few that have. Therefore, we aimed to investigate this relationship using methodologically robust metrics. In a 2 (sex) × 4 (group) MANOVA incorporating 108 participants (30 AD patients, 19 patients with tauopathy but no amyloidopathy, 31 clinical and 28 healthy age- and education-matched controls), the effects of sex and group on the dependent variables right and left 2D:4D were examined. We also explored the association between 2D:4D and the severity of AD symptoms assessed via neuropsychological examination. We did not find any significant differences in the right- and left-hand 2D:4D between patients with AD and the other groups; no significant associations between 2D:4D and neuropsychological task performances were found in the dementia groups. The 2D:4D of healthy women was significantly lower than that of depressed women without AD, i.e., clinical controls, but not significantly different from depressed female patients with AD. This investigation does not support the role of 2D:4D in the development or severity of AD in general, but suggests a potential role of 2D:4D for depression in women. Future studies are warranted to clarify whether 2D:4D can distinguish between early- and late-onset depression in women.
Collapse
Affiliation(s)
- Eva-Maria Siegmann
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Schwabachanlage 6, 91054 Erlangen, Germany
| | - Pauline Olm
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Schwabachanlage 6, 91054 Erlangen, Germany
| | - Bernd Lenz
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Schwabachanlage 6, 91054 Erlangen, Germany
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health (CIMH), Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany
| | - Christiane Mühle
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Schwabachanlage 6, 91054 Erlangen, Germany
| | - Timo Jan Oberstein
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Schwabachanlage 6, 91054 Erlangen, Germany
| | - Juan Manuel Maler
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Schwabachanlage 6, 91054 Erlangen, Germany
| | - Johannes Kornhuber
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Schwabachanlage 6, 91054 Erlangen, Germany
| |
Collapse
|
15
|
Toniolo S, Di Lorenzo F, Bernardini S, Mercuri NB, Sancesario GM. Blood-Brain Barrier Dysfunction and Aβ42/40 Ratio Dose-Dependent Modulation with the ApoE Genotype within the ATN Framework. Int J Mol Sci 2023; 24:12151. [PMID: 37569528 PMCID: PMC10418506 DOI: 10.3390/ijms241512151] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 06/26/2023] [Accepted: 06/27/2023] [Indexed: 08/13/2023] Open
Abstract
The definition of Alzheimer's disease (AD) now considers the presence of the markers of amyloid (A), tau deposition (T), and neurodegeneration (N) essential for diagnosis. AD patients have been reported to have increased blood-brain barrier (BBB) dysfunction, but that has not been tested within the ATN framework so far. As the field is moving towards the use of blood-based biomarkers, the relationship between BBB disruption and AD-specific biomarkers requires considerable attention. Moreover, other factors have been previously implicated in modulating BBB permeability, including age, gender, and ApoE status. A total of 172 cognitively impaired individuals underwent cerebrospinal fluid (CSF) analysis for AD biomarkers, and data on BBB dysfunction, demographics, and ApoE status were collected. Our data showed that there was no difference in BBB dysfunction across different ATN subtypes, and that BBB damage was not correlated with cognitive impairment. However, patients with BBB disruption, if measured with a high Qalb, had low Aβ40 levels. ApoE status did not affect BBB function but had a dose-dependent effect on the Aβ42/40 ratio. These results might highlight the importance of understanding dynamic changes across the BBB in future studies in patients with AD.
Collapse
Affiliation(s)
- Sofia Toniolo
- Cognitive Neurology Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX1 3AZ, UK
- Department of Systems Medicine, University of Rome ‘Tor Vergata’, 00133 Rome, Italy (G.M.S.)
| | - Francesco Di Lorenzo
- Department of Systems Medicine, University of Rome ‘Tor Vergata’, 00133 Rome, Italy (G.M.S.)
- Non-Invasive Brain Simulation Unit, IRCSS Santa Lucia Foundation, 00179 Rome, Italy
| | - Sergio Bernardini
- Department of Systems Medicine, University of Rome ‘Tor Vergata’, 00133 Rome, Italy (G.M.S.)
| | - Nicola Biagio Mercuri
- Department of Systems Medicine, University of Rome ‘Tor Vergata’, 00133 Rome, Italy (G.M.S.)
| | - Giulia Maria Sancesario
- Department of Systems Medicine, University of Rome ‘Tor Vergata’, 00133 Rome, Italy (G.M.S.)
- Biobank Unit, IRCSS Santa Lucia Foundation, 00179 Rome, Italy
| |
Collapse
|
16
|
Gaetani L, Chiasserini D, Paolini Paoletti F, Bellomo G, Parnetti L. Required improvements for cerebrospinal fluid-based biomarker tests of Alzheimer's disease. Expert Rev Mol Diagn 2023; 23:1195-1207. [PMID: 37902844 DOI: 10.1080/14737159.2023.2276918] [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: 04/26/2023] [Accepted: 10/25/2023] [Indexed: 11/01/2023]
Abstract
INTRODUCTION Cerebrospinal fluid (CSF) biomarkers represent a well-established tool for diagnosing Alzheimer's disease (AD), independently from the clinical stage, by reflecting the presence of brain amyloidosis (A+) and tauopathy (T+). In front of this important achievement, so far, (i) CSF AD biomarkers have not yet been adopted for routine clinical use in all Centers dedicated to AD, mainly due to inter-lab variation and lack of internationally accepted cutoff values; (ii) we do need to add other biomarkers more suitable to correlate with the clinical stage and disease monitoring; (iii) we also need to detect the co-presence of other 'non-AD' pathologies. AREAS COVERED Efforts to establish standardized cutoff values based on large-scale multi-center studies are discussed. The influence of aging and comorbidities on CSF biomarker levels is also analyzed, and possible solutions are presented, i.e. complementing the A/T/(N) system with markers of axonal damage and synaptic derangement. EXPERT OPINION The first, mandatory need is to reach common cutoff values and defined (automated) methodologies for CSF AD biomarkers. To properly select subjects deserving CSF analysis, blood tests might represent the first-line approach. In those subjects undergoing CSF analysis, multiple biomarkers, able to give a comprehensive and personalized pathophysiological/prognostic information, should be included.
Collapse
Affiliation(s)
- Lorenzo Gaetani
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Davide Chiasserini
- Section of Physiology and Biochemistry, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | | | - Giovanni Bellomo
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Lucilla Parnetti
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| |
Collapse
|
17
|
Gonzalez-Ortiz F, Kac PR, Brum WS, Zetterberg H, Blennow K, Karikari TK. Plasma phospho-tau in Alzheimer's disease: towards diagnostic and therapeutic trial applications. Mol Neurodegener 2023; 18:18. [PMID: 36927491 PMCID: PMC10022272 DOI: 10.1186/s13024-023-00605-8] [Citation(s) in RCA: 34] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 02/15/2023] [Indexed: 03/18/2023] Open
Abstract
As the leading cause of dementia, Alzheimer's disease (AD) is a major burden on affected individuals, their families and caregivers, and healthcare systems. Although AD can be identified and diagnosed by cerebrospinal fluid or neuroimaging biomarkers that concord with neuropathological evidence and clinical symptoms, challenges regarding practicality and accessibility hinder their widespread availability and implementation. Consequently, many people with suspected cognitive impairment due to AD do not receive a biomarker-supported diagnosis. Blood biomarkers have the capacity to help expand access to AD diagnostics worldwide. One such promising biomarker is plasma phosphorylated tau (p-tau), which has demonstrated specificity to AD versus non-AD neurodegenerative diseases, and will be extremely important to inform on clinical diagnosis and eligibility for therapies that have recently been approved. This review provides an update on the diagnostic and prognostic performances of plasma p-tau181, p-tau217 and p-tau231, and their associations with in vivo and autopsy-verified diagnosis and pathological hallmarks. Additionally, we discuss potential applications and unanswered questions of plasma p-tau for therapeutic trials, given their recent addition to the biomarker toolbox for participant screening, recruitment and during-trial monitoring. Outstanding questions include assay standardization, threshold generation and biomarker verification in diverse cohorts reflective of the wider community attending memory clinics and included in clinical trials.
Collapse
Affiliation(s)
- Fernando Gonzalez-Ortiz
- grid.8761.80000 0000 9919 9582Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- grid.1649.a000000009445082XClinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Przemysław R. Kac
- grid.8761.80000 0000 9919 9582Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Wagner S. Brum
- grid.8761.80000 0000 9919 9582Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- grid.8532.c0000 0001 2200 7498Graduate Program in Biological Sciences: Biochemistry, Universidade Federal Do Rio Grande Do Sul (UFRGS), Porto Alegre, Brazil
| | - Henrik Zetterberg
- grid.8761.80000 0000 9919 9582Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- grid.1649.a000000009445082XClinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- grid.83440.3b0000000121901201Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- grid.83440.3b0000000121901201UK Dementia Research Institute at UCL, London, UK
- grid.24515.370000 0004 1937 1450Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | - Kaj Blennow
- grid.8761.80000 0000 9919 9582Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- grid.1649.a000000009445082XClinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Thomas K. Karikari
- grid.8761.80000 0000 9919 9582Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- grid.21925.3d0000 0004 1936 9000Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA USA
| |
Collapse
|
18
|
Souza ID, Anderson JL, Tumas V, Queiroz MEC. Direct coupling of fiber-in-tube solid-phase microextraction with tandem mass spectrometry to determine amyloid beta peptides as biomarkers for Alzheimer's disease in cerebrospinal fluid samples. Talanta 2023; 254:124186. [PMID: 36521326 DOI: 10.1016/j.talanta.2022.124186] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Revised: 11/29/2022] [Accepted: 12/07/2022] [Indexed: 12/14/2022]
Abstract
Current research efforts at neurological diseases have focused on identifying novel biomarkers to aid in diagnosis, to provide accurate prognostic information, and to monitor disease progression. This study presents the direct coupling of fiber-in-tube solid-phase microextraction to tandem mass spectrometry as a reliable method to determine amyloid beta peptides (Aβ38, Aβ40, and Aβ42) as biomarkers for Alzheimer's disease in cerebrospinal fluid (CSF) samples. To obtain the biocompatible fiber-in-tube SPME capillary, a PEEK tube segment was longitudinally packed with fine fibers [nitinol wires coated with a zwitterionic polymeric ionic liquid], to act as selective extraction medium. The fiber-in-tube SPME-MS/MS method integrated analyte extraction/enrichment and sample cleanup (exclusion of interferents) into one step. The method provided lower limits of quantification (LLOQ: 0.2 ng mL-1 for Aβ38 and 0.1 ng mL-1 for Aβ40 and Aβ42), high precision (CV lower than 11.6%), and high accuracy (relative standard deviation lower than 15.1%). This method was successfully applied to determine Aβ peptides in CSF samples obtained from AD patients (n = 8) and controls (healthy volunteers, n = 10). Results showed that Aβ42 levels in the CSF samples obtained from AD patients were significantly lower compared to healthy controls (p < 0.05). On the basis of the ROC analysis results, the Aβ42/Aβ40 ratio (AUC = 0.950, p < 0.01; 95%) performed significantly better than Aβ42 alone (AUC = 0.913, p < 0.01; 95%) in discriminating between AD patients and healthy controls and presented better diagnostic ability for AD. The novelties of this study are not only related to evaluating Aβ peptides as AD biomarkers, but also to demonstrating direct online coupling of fiber-in-tube SPME with MS/MS as a quantitative high-throughput method for bioanalysis.
Collapse
Affiliation(s)
- Israel D Souza
- Departamento de Química, Faculdade de Filosofia Ciências e Letras de Ribeirão Preto, University of Sao Paulo, Ribeirao Preto, SP, Brazil
| | - Jared L Anderson
- Department of Chemistry, Iowa State University, Ames, IA, United States
| | - Vitor Tumas
- Department of Neurosciences and Behavioral Sciences, Ribeirao Preto Medical School of University of São Paulo, Ribeirao Preto, SP, Brazil
| | - Maria Eugênia C Queiroz
- Departamento de Química, Faculdade de Filosofia Ciências e Letras de Ribeirão Preto, University of Sao Paulo, Ribeirao Preto, SP, Brazil.
| |
Collapse
|
19
|
Zou Y, Yu S, Ma X, Ma C, Mao C, Mu D, Li L, Gao J, Qiu L. How far is the goal of applying β-amyloid in cerebrospinal fluid for clinical diagnosis of Alzheimer's disease with standardization of measurements? Clin Biochem 2023; 112:33-42. [PMID: 36473516 DOI: 10.1016/j.clinbiochem.2022.11.013] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 11/02/2022] [Accepted: 11/30/2022] [Indexed: 12/12/2022]
Abstract
Cerebrospinal fluid (CSF) β-amyloid (Aβ) is important for early diagnosis of Alzheimer's disease (AD). However, the cohort distributions and cut-off values have large variation across different analytical assays, kits, and laboratories. In this review, we summarize the cut-off values and diagnostic performance for CSF Aβ1-42 and Aβ1-42/Aβ1-40, and explore the important effect factors. Based on the Alzheimer's Association external quality control program (AAQC program), the peer group coefficient of variation of manual ELISA assays for CSF Aβ1-42 was unsatisfied (>20%). Fully automated platforms with better performance have recently been developed, but still not widely applied. In 2020, the certified reference material (CRM) for CSF Aβ1-42 was launched; however, the AAQC 2021-round results did not show effective improvements. Thus, further development and popularization of CRM for CSF Aβ1-42 and Aβ1-40 are urgently required. Standardizing the diagnostic procedures of AD and related status and the pre-analytical protocols of CSF samples, improving detection performance of analytical assays, and popularizing the application of fully automated platforms are also important for the establishment of uniform cut-off values. Moreover, each laboratory should verify the applicability of uniform cut-off values, and evaluate whether it is necessary to establish its own population- and assay-specific cut-off values.
Collapse
Affiliation(s)
- Yutong Zou
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing 100730, China
| | - Songlin Yu
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing 100730, China
| | - Xiaoli Ma
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing 100730, China; Medical Science Research Center, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing 100730, China
| | - Chaochao Ma
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing 100730, China
| | - Chenhui Mao
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Danni Mu
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing 100730, China
| | - Lei Li
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing 100730, China
| | - Jing Gao
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China.
| | - Ling Qiu
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing 100730, China; State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China.
| |
Collapse
|
20
|
Karmirian K, Holubiec M, Goto-Silva L, Fernandez Bessone I, Vitória G, Mello B, Alloatti M, Vanderborght B, Falzone TL, Rehen S. Modeling Alzheimer's Disease Using Human Brain Organoids. Methods Mol Biol 2023; 2561:135-158. [PMID: 36399268 DOI: 10.1007/978-1-0716-2655-9_7] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Alzheimer's disease (AD) is the primary cause of dementia, to date. The urgent need to understand the biological and biochemical processes related to this condition, as well as the demand for reliable in vitro models for drug screening, has led to the development of novel techniques, among which stem cell methods are of utmost relevance for AD research, particularly the development of human brain organoids. Brain organoids are three-dimensional cellular aggregates derived from induced pluripotent stem cells (iPSCs) that recreate different neural cell interactions and tissue characteristics in culture. Here, we describe the protocol for the generation of brain organoids derived from AD patients and for the analysis of AD-derived pathology. AD organoids can recapitulate beta-amyloid and tau pathological features, making them a promising model for studying the molecular mechanisms underlying disease and for in vitro drug testing.
Collapse
Affiliation(s)
- Karina Karmirian
- D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil
- Institute of Biomedical Sciences, Rio de Janeiro, Brazil
| | - Mariana Holubiec
- Instituto de Biología Celular y Neurociencia IBCN (UBA-CONICET), Facultad de Medicina, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Livia Goto-Silva
- D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil
| | - Ivan Fernandez Bessone
- Instituto de Biología Celular y Neurociencia IBCN (UBA-CONICET), Facultad de Medicina, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Gabriela Vitória
- D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil
| | - Beatriz Mello
- D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil
| | - Matias Alloatti
- Instituto de Biología Celular y Neurociencia IBCN (UBA-CONICET), Facultad de Medicina, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Bart Vanderborght
- D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil
| | - Tomás L Falzone
- Instituto de Biología Celular y Neurociencia IBCN (UBA-CONICET), Facultad de Medicina, Universidad de Buenos Aires, Buenos Aires, Argentina
- Instituto de Investigación en Biomedicina de Buenos Aires IBioBA (CONICET), Partner Institute of the Max Planck Society, Buenos Aires, Argentina
| | - Stevens Rehen
- D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil.
- Department of Genetics, Institute of Biology, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil.
| |
Collapse
|
21
|
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: 6] [Impact Index Per Article: 6.0] [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
|
22
|
Chen F, Wang N, Tian X, Qin Y, Su J, He R, He X. The potential diagnostic accuracy of urine formaldehyde levels in Alzheimer's disease: A systematic review and meta-analysis. Front Aging Neurosci 2022; 14:1057059. [PMID: 36583189 PMCID: PMC9794019 DOI: 10.3389/fnagi.2022.1057059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 11/25/2022] [Indexed: 12/14/2022] Open
Abstract
Background Formaldehyde (FA), a toxic aldehyde, has been shown to be associated with a variety of cognitive disorders, including Alzheimer's disease (AD). There is increasing evidence that FA levels are significantly increased in AD patients and may be involved in the pathological process of AD. The aim of this study was to assess the potential diagnostic value of urine FA levels in AD using meta-analysis techniques. Methods Original reports of morning urine FA levels in AD patients and healthy controls (HCs) were included in the meta-analysis. Standardized mean differences (SMD) were calculated using a random-effects model, heterogeneity was explored using methodological, age, sex difference and sensitivity analyses, and receiver operating characteristic (ROC) curves were constructed to assess the diagnostic value of urine FA levels in AD. Results A total of 12 studies were included, and the urine FA levels of 874 AD patients and 577 HCs were reviewed. Compared with those in HCs, the FA levels were significantly increased in AD patients. The heterogeneity of the results did not affect their robustness, and results of the area under the curve (AUC) suggested that urine FA levels had good potential diagnostic value. Conclusion Urine FA levels are involved in AD disease progression and are likely to be useful as a potential biomarker for clinical auxiliary diagnosis. However, further studies are needed to validate the results of this study.
Collapse
Affiliation(s)
- Fan Chen
- School of Basic Medical Sciences, Dali University, Dali, Yunnan, China
| | - Na Wang
- School of Basic Medical Sciences, Dali University, Dali, Yunnan, China
| | - Xinyan Tian
- School of Basic Medical Sciences, Dali University, Dali, Yunnan, China
| | - Yan Qin
- School of Basic Medical Sciences, Dali University, Dali, Yunnan, China
| | - Juan Su
- School of Basic Medical Sciences, Dali University, Dali, Yunnan, China,*Correspondence: Juan Su,
| | - Rongqiao He
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China,Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China,Rongqiao He,
| | - Xiaping He
- School of Basic Medical Sciences, Dali University, Dali, Yunnan, China,Xiaping He,
| |
Collapse
|
23
|
Zhao YL, Ou YN, Ma YH, Huang YY, Bi YL, Tan L, Yu JT. Association between Life’s Simple 7 and cerebrospinal fluid biomarkers of Alzheimer’s disease pathology in cognitively intact adults: the CABLE study. Alzheimers Res Ther 2022; 14:74. [PMID: 35619174 PMCID: PMC9134665 DOI: 10.1186/s13195-022-01019-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 05/16/2022] [Indexed: 11/10/2022]
Abstract
Abstract
Introduction
This study sought to explore the association between Life’s Simple 7 (LS7) and cerebrospinal fluid (CSF) Alzheimer’s disease (AD) pathological biomarkers in the cognitively normal northern Chinese population.
Methods
From the Chinese Alzheimer’s Biomarker and LifestylE (CABLE) study, 1106 cognitively normal participants were enrolled. The mean age was 62.34 years, and 39.6% were female. LS7 scores were summed with each metric assigned 0, 1, or 2 scores. The multiple linear regression models were used to investigate the association between LS7 scores and CSF AD biomarkers.
Results
We found that LS7 scores were significantly associated with CSF AD pathologies, including Aβ42/40 (β = 0.034, P = .041), p-tau181 (β = − 0.043, P = .006), and t-tau (β = − 0.044, P = .003). In subscales, the biological metrics (blood pressure, cholesterol, glucose) were significantly related to CSF tau-related biomarkers. These associations were observed in the APOE ε4 allele non-carriers, yet not in carriers. The relationship of behavior metrics was found in the middle age and males.
Conclusion
Improving LS7 scores might do a favor to alleviate the pathology of AD in the preclinical stage, especially among the APOE ε4 allele non-carriers.
Collapse
|
24
|
Xu C, Zhao L, Dong C. A Review of Application of Aβ42/40 Ratio in Diagnosis and Prognosis of Alzheimer’s Disease. J Alzheimers Dis 2022; 90:495-512. [DOI: 10.3233/jad-220673] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
The number of patients with Alzheimer’s disease (AD) and non-Alzheimer’s disease (non-AD) has drastically increased over recent decades. The amyloid cascade hypothesis attributes a vital role to amyloid-β protein (Aβ) in the pathogenesis of AD. As the main pathological hallmark of AD, amyloid plaques consist of merely the 42 and 40 amino acid variants of Aβ (Aβ 42 and Aβ 40). The cerebrospinal fluid (CSF) biomarker Aβ 42/40 has been extensively investigated and eventually integrated into important diagnostic tools to support the clinical diagnosis of AD. With the development of highly sensitive assays and technologies, blood-based Aβ 42/40, which was obtained using a minimally invasive and cost-effective method, has been proven to be abnormal in synchrony with CSF biomarker values. This paper presents the recent progress of the CSF Aβ 42/40 ratio and plasma Aβ 42/40 for AD as well as their potential clinical application as diagnostic markers or screening tools for dementia.
Collapse
Affiliation(s)
- Chang Xu
- Department of Neurology, the First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Li Zhao
- Department of Neurology, the First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Chunbo Dong
- Department of Neurology, the First Affiliated Hospital, Dalian Medical University, Dalian, China
| |
Collapse
|
25
|
Namchaiw P, Bunreangsri P, Eiamcharoen P, Eiamboonsert S, P. Poo-arporn R. An in vitro workflow of neuron-laden agarose-laminin hydrogel for studying small molecule-induced amyloidogenic condition. PLoS One 2022; 17:e0273458. [PMID: 36026506 PMCID: PMC9416999 DOI: 10.1371/journal.pone.0273458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 08/08/2022] [Indexed: 11/18/2022] Open
Abstract
In vitro studies have been popularly used to determine the cellular and molecular mechanisms for many decades. However, the traditional two-dimension (2D) cell culture which grows cells on a flat surface does not fully recapitulate the pathological phenotypes. Alternatively, the three-dimension (3D) cell culture provides cell-cell and cell-ECM interaction that better mimics tissue-like structure. Thus, it has gained increasing attention recently. Yet, the expenses, time-consuming, and complications of cellular and biomolecular analysis are still major limitations of 3D culture. Herein, we describe a cost-effective and simplified workflow of the 3D neuronal cell-laden agarose-laminin preparation and the isolation of cells, RNAs, and proteins from the scaffold. To study the effects of the amyloidogenic condition in neurons, we utilized a neuron-like cell line, SH-SY5Y, and induced the amyloidogenic condition by using an amyloid forty-two inducer (Aftin-4). The effectiveness of RNAs, proteins and cells isolation from 3D scaffold enables us to investigate the cellular and molecular mechanisms underlying amyloidogenic cascade in neuronal cells. The results show that SH-SY5Y cultured in agarose-laminin scaffold differentiated to a mature TUJ1-expressing neuron cell on day 7. Furthermore, the gene expression profile from the Aftin-4-induced amyloidogenic condition revealed the expression of relevant gene-encoding proteins in the amyloidogenic pathway, including APP, BACE1, PS1, and PS2. This platform could induce the amyloid-beta 42 secretion and entrap secreted proteins in the scaffold. The induction of amyloidogenic conditions in a 3D culture facilitates the interaction between secreted amyloid-beta and neurons, which makes it resembles the pathological environment in Alzheimer’s brain. Together, this workflow is applicable for studying the cellular and molecular analysis of amyloid-induced neuronal toxicity, such as those occurred in Alzheimer’s disease progression. Importantly, our method is cost-effective, reproducible, and easy to manipulate.
Collapse
Affiliation(s)
- Poommaree Namchaiw
- Biological Engineering Program, Faculty of Engineering, King Mongkut’s University of Technology Thonburi, Thung Kru, Bangkok, Thailand
- Neuroscience Center for Research and Innovation, Learning Institute, King Mongkut’s University of Technology Thonburi, Thung Kru, Bangkok, Thailand
- * E-mail:
| | - Patapon Bunreangsri
- Neuroscience Center for Research and Innovation, Learning Institute, King Mongkut’s University of Technology Thonburi, Thung Kru, Bangkok, Thailand
| | - Piyaporn Eiamcharoen
- Department of Pathology, Faculty of Veterinary Medicine, Kasetsart University, Thung Kru, Bangkok, Thailand
- Veterinary Medical Teaching Hospital, University of California Davis, Davis, California, United States of America
| | - Salita Eiamboonsert
- Biological Engineering Program, Faculty of Engineering, King Mongkut’s University of Technology Thonburi, Thung Kru, Bangkok, Thailand
- Media Technology, King Mongkut’s University of Technology Thonburi, Thung Kru, Bangkok, Thailand
| | - Rungtiva P. Poo-arporn
- Biological Engineering Program, Faculty of Engineering, King Mongkut’s University of Technology Thonburi, Thung Kru, Bangkok, Thailand
| |
Collapse
|
26
|
Oberstein TJ, Schmidt MA, Florvaag A, Haas AL, Siegmann EM, Olm P, Utz J, Spitzer P, Doerfler A, Lewczuk P, Kornhuber J, Maler JM. Amyloid-β levels and cognitive trajectories in non-demented pTau181-positive subjects without amyloidopathy. Brain 2022; 145:4032-4041. [PMID: 35973034 DOI: 10.1093/brain/awac297] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 07/11/2022] [Accepted: 07/24/2022] [Indexed: 11/13/2022] Open
Abstract
Phosphorylated Tau181 (pTau181) in cerebrospinal fluid (CSF) and recently in plasma has been associated with Alzheimer's disease. In the absence of amyloidopathy, individuals with increased total Tau levels and/or temporal lobe atrophy experience no or only mild cognitive decline compared with biomarker-negative controls, leading to the proposal to categorize this constellation as Suspected non-Alzheimer disease pathophysiology (SNAP). We investigated whether the characteristics of SNAP also applied to individuals with increased CSF-pTau181 without amyloidopathy. In this long-term observational study, 285 non-demented individuals, including 76 individuals with subjective cognitive impairment and 209 individuals with mild cognitive impairment, were classified based on their CSF-levels of pTau181 (T), total Tau (N), Amyloid-beta-(Aβ)-42 and Aβ42/Aβ40 ratio (A) into A + T+N±, A + T-N±, A-T + N±, and A-T-N-. The longitudinal analysis included 154 subjects with a follow-up of more than 12 months who were followed to a median of 4.6 years (interquartile range = 4.3 years). We employed linear mixed models on psychometric tests and region of interest analysis of structural MRI data. Cognitive decline and hippocampal atrophy rate were significantly higher in A + T+N ± compared to A-T + N±, whereas there was no difference between A-T + N ± and A-T-N-. Furthermore, there was no significant difference between A-T + N ± and controls in dementia risk (Hazard ratio 0.3, 95% confidence interval [0.1, 1.9]). However, A-T + N ± and A-T-N- could be distinguished based on their Aβ42 and Aβ40 levels. Both Aβ40 and Aβ42 levels were significantly increased in A-T + N ± compared to controls. Long term follow-up of A-T + N ± individuals revealed no evidence that this biomarker constellation was associated with dementia or more severe hippocampal atrophy rates compared to controls. However, because of the positive association of pTau181 with Aβ in the A-T + N ± group, a link to the pathophysiology of Alzheimer´s disease cannot be excluded in this case. We propose to refer to these individuals in the SNAP group as "pTau and Aβ surge with subtle deterioration" (PASSED). The investigation of the circumstances of simultaneous elevation of pTau and Aβ might provide a deeper insight into the process under which Aβ becomes pathological.
Collapse
Affiliation(s)
- Timo Jan Oberstein
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Manuel Alexander Schmidt
- Institute of Neuroradiology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Anna Florvaag
- Department of Radiology and Nuclear Medicine, Klinikum Nuremberg, Nuremberg, Germany
| | - Anna Lena Haas
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Eva Maria Siegmann
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Pauline Olm
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Janine Utz
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Philipp Spitzer
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Arnd Doerfler
- Institute of Neuroradiology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Piotr Lewczuk
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.,Department of Neurodegeneration Diagnostics, Medical University of Bialystok, University Hospital of Bialystok, Bialystok, Poland.,Department of Biochemical Diagnostics, University Hospital of Bialystok, Bialystok, Poland
| | - Johannes Kornhuber
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Juan Manuel Maler
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| |
Collapse
|
27
|
McKenzie C, Bucks RS, Weinborn M, Bourgeat P, Salvado O, Gavett BE. Residual reserve index modifies the effect of amyloid pathology on fluorodeoxyglucose metabolism: Implications for efficiency and capacity in cognitive reserve. Front Aging Neurosci 2022; 14:943823. [PMID: 36034126 PMCID: PMC9413056 DOI: 10.3389/fnagi.2022.943823] [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: 05/14/2022] [Accepted: 07/25/2022] [Indexed: 11/13/2022] Open
Abstract
Background The residual approach to measuring cognitive reserve (using the residual reserve index) aims to capture cognitive resilience conferred by cognitive reserve, but may be confounded by factors representing brain resilience. We sought to distinguish between brain and cognitive resilience by comparing interactions between the residual reserve index and amyloid, tau, and neurodegeneration ["AT(N)"] biomarkers when predicting executive function. We hypothesized that the residual reserve index would moderate at least one path from an AT(N) biomarker to executive function (consistent with cognitive resilience), as opposed to moderating a path between two AT(N) biomarkers (suggestive of brain resilience). Methods Participants (N = 332) were from the Alzheimer's Disease Neuroimaging Initiative. The residual reserve index represented the difference between observed and predicted memory performance (a positive residual reserve index suggests higher cognitive reserve). AT(N) biomarkers were: CSF β-amyloid1-42/β-amyloid1-40 (A), plasma phosphorylated tau-181 (T), and FDG metabolism in AD-specific regions ([N]). AT(N) biomarkers (measured at consecutive time points) were entered in a sequential mediation model testing the indirect effects from baseline amyloid to executive function intercept (third annual follow-up) and slope (baseline to seventh follow-up), via tau and/or FDG metabolism. The baseline residual reserve index was entered as a moderator of paths between AT(N) biomarkers (e.g., amyloid-tau), and paths between AT(N) biomarkers and executive function. Results The residual reserve index interacted with amyloid pathology when predicting FDG metabolism: the indirect effect of amyloid → FDG metabolism → executive function intercept and slope varied as a function of the residual reserve index. With lower amyloid pathology, executive function performance was comparable at different levels of the residual reserve index, but a higher residual reserve index was associated with lower FDG metabolism. With higher amyloid pathology, a higher residual reserve index predicted better executive function via higher FDG metabolism. Conclusion The effect of the residual reserve index on executive function performance via FDG metabolism was consistent with cognitive resilience. This suggests the residual reserve index captures variation in cognitive reserve; specifically, neural efficiency, and neural capacity to upregulate metabolism to enhance cognitive resilience in the face of greater amyloid pathology. Implications for future research include the potential bidirectionality between neural efficiency and amyloid accumulation.
Collapse
Affiliation(s)
- Cathryn McKenzie
- School of Psychological Science, The University of Western Australia, Perth, WA, Australia
| | - Romola S. Bucks
- School of Psychological Science, The University of Western Australia, Perth, WA, Australia
| | - Michael Weinborn
- School of Psychological Science, The University of Western Australia, Perth, WA, Australia
| | - Pierrick Bourgeat
- Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation (CSIRO) Health and Biosecurity, Brisbane, QLD, Australia
| | - Olivier Salvado
- Data61, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Sydney, NSW, Australia
| | - Brandon E. Gavett
- School of Psychological Science, The University of Western Australia, Perth, WA, Australia
| |
Collapse
|
28
|
Dulewicz M, Kulczyńska-Przybik A, Mroczko P, Kornhuber J, Lewczuk P, Mroczko B. Biomarkers for the Diagnosis of Alzheimer’s Disease in Clinical Practice: The Role of CSF Biomarkers during the Evolution of Diagnostic Criteria. Int J Mol Sci 2022; 23:ijms23158598. [PMID: 35955728 PMCID: PMC9369334 DOI: 10.3390/ijms23158598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 07/30/2022] [Accepted: 07/30/2022] [Indexed: 11/16/2022] Open
Abstract
Alzheimer’s disease (AD) is a progressive condition and the most common cause of dementia worldwide. The neuropathological changes characteristic of the disorder can be successfully detected before the development of full-blown AD. Early diagnosis of the disease constitutes a formidable challenge for clinicians. CSF biomarkers are the in vivo evidence of neuropathological changes developing in the brain of dementia patients. Therefore, measurement of their concentrations allows for improved accuracy of clinical diagnosis. Moreover, AD biomarkers may provide an indication of disease stage. Importantly, the CSF biomarkers of AD play a pivotal role in the new diagnostic criteria for the disease, and in the recent biological definition of AD by the National Institute on Aging, NIH and Alzheimer’s Association. Due to the necessity of collecting CSF by lumbar puncture, the procedure seems to be an important issue not only from a medical, but also a legal, viewpoint. Furthermore, recent technological advances may contribute to the automation of AD biomarkers measurement and may result in the establishment of unified cut-off values and reference limits. Moreover, a group of international experts in the field of AD biomarkers have developed a consensus and guidelines on the interpretation of CSF biomarkers in the context of AD diagnosis. Thus, technological advancement and expert recommendations may contribute to a more widespread use of these diagnostic tests in clinical practice to support a diagnosis of mild cognitive impairment (MCI) or dementia due to AD. This review article presents up-to-date data regarding the usefulness of CSF biomarkers in routine clinical practice and in biomarkers research.
Collapse
Affiliation(s)
- Maciej Dulewicz
- Department of Neurodegeneration Diagnostics, Medical University of Bialystok, 15-269 Bialystok, Poland; (A.K.-P.); (P.L.); (B.M.)
- Correspondence:
| | - Agnieszka Kulczyńska-Przybik
- Department of Neurodegeneration Diagnostics, Medical University of Bialystok, 15-269 Bialystok, Poland; (A.K.-P.); (P.L.); (B.M.)
| | - Piotr Mroczko
- Department of Criminal Law and Criminology, Faculty of Law, University of Bialystok, 15-213 Bialystok, Poland;
| | - Johannes Kornhuber
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen and Friedrich-Alexander Universität Erlangen-Nürnberg, 91054 Erlangen, Germany;
| | - Piotr Lewczuk
- Department of Neurodegeneration Diagnostics, Medical University of Bialystok, 15-269 Bialystok, Poland; (A.K.-P.); (P.L.); (B.M.)
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen and Friedrich-Alexander Universität Erlangen-Nürnberg, 91054 Erlangen, Germany;
| | - Barbara Mroczko
- Department of Neurodegeneration Diagnostics, Medical University of Bialystok, 15-269 Bialystok, Poland; (A.K.-P.); (P.L.); (B.M.)
- Department of Biochemical Diagnostics, Medical University of Bialystok, 15-269 Bialystok, Poland
| |
Collapse
|
29
|
Cui Y, Zhang H, Zhu J, Liao Z, Wang S, Liu W. Investigation of Whole and Glandular Saliva as a Biomarker for Alzheimer's Disease Diagnosis. Brain Sci 2022; 12:595. [PMID: 35624982 PMCID: PMC9139762 DOI: 10.3390/brainsci12050595] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2022] [Revised: 04/26/2022] [Accepted: 04/30/2022] [Indexed: 12/07/2022] Open
Abstract
Salivary Aβ40, Aβ42, t-tau, and p-tau 181 are commonly employed in Alzheimer's disease (AD) investigations. However, the collection method of these biomarkers can affect their levels. To assess the impact of saliva collection methods on biomarkers in this study, 15 healthy people were employed in the morning with six saliva collection methods. The chosen methods were then applied in 30 AD patients and 30 non-AD controls. The levels of salivary biomarkers were calculated by a specific enzyme-linked immunosorbent assay. The receiver operating characteristic was utilized to assess salivary biomarkers in AD patients. The results demonstrated that the highest levels of salivary Aβ40, Aβ42, t-tau, and p-tau were in different saliva collection methods. The correlations between different saliva biomarkers in the same collection method were different. Salivary Aβ40, Aβ42, t-tau, and p-tau had no significant association. Salivary Aβ42 was higher in AD than in non-AD controls. However, p-tau/t-tau and Aβ42/Aβ40 had some relevance. The area under the curve for four biomarkers combined in AD diagnosis was 92.11%. An alternate saliva collection method (e.g., USS in Aβ40, UPS in Aβ42, t-tau, SSS in p-tau 181) was demonstrated in this study. Moreover, combining numerous biomarkers improves AD diagnosis.
Collapse
Affiliation(s)
- Yangyang Cui
- Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China; (Y.C.); (H.Z.); (J.Z.)
- Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China
- Biomechanics and Biotechnology Lab, Research Institute of Tsinghua University in Shenzhen, Shenzhen 518057, China;
| | - Hankun Zhang
- Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China; (Y.C.); (H.Z.); (J.Z.)
- Biomechanics and Biotechnology Lab, Research Institute of Tsinghua University in Shenzhen, Shenzhen 518057, China;
| | - Jia Zhu
- Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China; (Y.C.); (H.Z.); (J.Z.)
- Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China
- Biomechanics and Biotechnology Lab, Research Institute of Tsinghua University in Shenzhen, Shenzhen 518057, China;
| | - Zhenhua Liao
- Biomechanics and Biotechnology Lab, Research Institute of Tsinghua University in Shenzhen, Shenzhen 518057, China;
| | - Song Wang
- Biomechanics and Biotechnology Lab, Research Institute of Tsinghua University in Shenzhen, Shenzhen 518057, China;
| | - Weiqiang Liu
- Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China; (Y.C.); (H.Z.); (J.Z.)
- Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China
- Biomechanics and Biotechnology Lab, Research Institute of Tsinghua University in Shenzhen, Shenzhen 518057, China;
| |
Collapse
|
30
|
Blanc F, Bousiges O. Biomarkers and diagnosis of dementia with Lewy bodies including prodromal: Practical aspects. Rev Neurol (Paris) 2022; 178:472-483. [PMID: 35491246 DOI: 10.1016/j.neurol.2022.03.008] [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] [Received: 02/15/2022] [Revised: 03/20/2022] [Accepted: 03/21/2022] [Indexed: 10/18/2022]
Abstract
Dementia with Lewy Bodies (DLB) is a common form of cognitive neurodegenerative disease. More than half of the patients affected are not or misdiagnosed because of the clinical similarity with Alzheimer's disease (AD), Parkinson's disease but also psychiatric diseases such as depression or psychosis. In this review, we evaluate the interest of different biomarkers in the diagnostic process: cerebrospinal fluid (CSF), brain MRI, FP-CIT SPECT, MIBG SPECT, perfusion SPECT, FDG-PET by focusing more specifically on differential diagnosis between DLB and AD. FP-CIT SPECT is of high interest to discriminate DLB and AD, but not at the prodromal stage. Brain MRI has shown differences in group study with lower grey matter concentration of the Insula in prodromal DLB, but its interest in clinical routine is not demonstrated. Among the AD biomarkers (t-Tau, phospho-Tau181, Aβ42 and Aβ40) used routinely, t-Tau and phospho-Tau181 have shown excellent discrimination whatever the clinical stages severity. CSF Alpha-synuclein assay in the CSF has also an interest in the discrimination between DLB and AD but not in segregation between DLB and healthy elderly subjects. CSF synuclein RT-QuIC seems to be an excellent biomarker but its application in clinical routine remains to be demonstrated, given the non-automation of the process.
Collapse
Affiliation(s)
- F Blanc
- Hôpitaux Universitaire de Strasbourg, CM2R (Centre Mémoire de Ressource et de Recherche), Hôpital de jour, pôle de Gériatrie, Strasbourg, France; CNRS, laboratoire ICube UMR 7357 et FMTS (Fédération de Médecine Translationnelle de Strasbourg), équipe IMIS, Strasbourg, France.
| | - O Bousiges
- CNRS, laboratoire ICube UMR 7357 et FMTS (Fédération de Médecine Translationnelle de Strasbourg), équipe IMIS, Strasbourg, France; Hôpitaux Universitaire de Strasbourg, Laboratoire de Biochimie et Biologie Moléculaire, Strasbourg, France
| |
Collapse
|
31
|
Yang Y, Zhao JJ, Yu XF. Expert Consensus on Cognitive Dysfunction in Diabetes. Curr Med Sci 2022; 42:286-303. [PMID: 35290601 DOI: 10.1007/s11596-022-2549-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 02/02/2022] [Indexed: 12/14/2022]
Abstract
The incidence of diabetes is gradually increasing in China, and diabetes and associated complications, such as cognitive dysfunction have gained much attention in recent time. However, the concepts, clinical treatment, and prevention of cognitive dysfunction in patients with diabetes remain unclear. The Chinese Society of Endocrinology investigated the current national and overseas situation of cognitive dysfunction associated with diabetes. Based on research both in China and other countries worldwide, the Expert Consensus on Cognitive Dysfunction in Diabetes was established to guide physicians in the comprehensive standardized management of cognitive dysfunction in diabetes and to improve clinical outcomes in Chinese patients. This consensus presents an overview, definition and classification, epidemiology and pathogenesis, risk factors, screening, diagnosis, differential diagnosis, treatment, and prevention of cognitive dysfunction in patients with diabetes.
Collapse
Affiliation(s)
- Yan Yang
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Jia-Jun Zhao
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, 25000, China.
| | - Xue-Feng Yu
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| |
Collapse
|
32
|
Ren R, Qi J, Lin S, Liu X, Yin P, Wang Z, Tang R, Wang J, Huang Q, Li J, Xie X, Hu Y, Cui S, Zhu Y, Yu X, Wang P, Zhu Y, Wang Y, Huang Y, Hu Y, Wang Y, Li C, Zhou M, Wang G. The China Alzheimer Report 2022. Gen Psychiatr 2022; 35:e100751. [PMID: 35372787 PMCID: PMC8919463 DOI: 10.1136/gpsych-2022-100751] [Citation(s) in RCA: 80] [Impact Index Per Article: 40.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 02/23/2022] [Indexed: 01/22/2023] Open
Abstract
China’s population has rapidly aged over the recent decades of social and economic development as neurodegenerative disorders have proliferated, especially Alzheimer’s disease (AD) and related dementias (ADRD). AD’s incidence rate, morbidity, and mortality have steadily increased to make it presently the fifth leading cause of death among urban and rural residents in China and magnify the resulting financial burdens on individuals, families and society. The ‘Healthy China Action’ plan of 2019–2030 promotes the transition from disease treatment to health maintenance for this expanding population with ADRD. This report describes related epidemiological trends, evaluates the economic burden of the disease, outlines current clinical diagnosis and treatment status and delineates existing available public health resources. More specifically, it examines the public health impact of ADRD, including prevalence, mortality, costs, usage of care, and the overall effect on caregivers and society. In addition, this special report presents technical guidance and supports for the prevention and treatment of AD, provides expertise to guide relevant governmental healthcare policy development and suggests an information platform for international exchange and cooperation.
Collapse
Affiliation(s)
- Rujing Ren
- Department of Neurology and Institute of Neurology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jinlei Qi
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shaohui Lin
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xinya Liu
- School of Public Health, Fudan University, Shanghai, China
- NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhihui Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ran Tang
- Department of Neurology and Institute of Neurology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jintao Wang
- Department of Neurology and Institute of Neurology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qiang Huang
- Department of Neurology and Institute of Neurology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jianping Li
- Department of Neurology and Institute of Neurology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xinyi Xie
- Department of Neurology and Institute of Neurology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yongbo Hu
- Department of Neurology and Institute of Neurology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shishuang Cui
- Department of Neurology and Institute of Neurology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuan Zhu
- Department of Neurology and Institute of Neurology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaoping Yu
- Department of Neurology and Institute of Neurology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Pengfei Wang
- School of Public Health, Fudan University, Shanghai, China
- NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Yikang Zhu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yiran Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yanyan Huang
- Department of Geriatrics, Huashan Hospital, Fudan University, Shanghai, China
| | - Yisong Hu
- National Survey Research Center, Renmin University of China, Beijing, China
| | - Ying Wang
- School of Public Health, Fudan University, Shanghai, China
- NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Chunbo Li
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Gang Wang
- Department of Neurology and Institute of Neurology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| |
Collapse
|
33
|
Vogt NM, Hunt JFV, Adluru N, Ma Y, Van Hulle CA, Dean DC, Kecskemeti SR, Chin NA, Carlsson CM, Asthana S, Johnson SC, Kollmorgen G, Batrla R, Wild N, Buck K, Zetterberg H, Alexander AL, Blennow K, Bendlin BB. Interaction of amyloid and tau on cortical microstructure in cognitively unimpaired adults. Alzheimers Dement 2022; 18:65-76. [PMID: 33984184 PMCID: PMC8589921 DOI: 10.1002/alz.12364] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 03/31/2021] [Accepted: 04/12/2021] [Indexed: 01/03/2023]
Abstract
INTRODUCTION Neurite orientation dispersion and density imaging (NODDI), a multi-compartment diffusion-weighted imaging (DWI) model, may be useful for detecting early cortical microstructural alterations in Alzheimer's disease prior to cognitive impairment. METHODS Using neuroimaging (NODDI and T1-weighted magnetic resonance imaging [MRI]) and cerebrospinal fluid (CSF) biomarker data (measured using Elecsys® CSF immunoassays) from 219 cognitively unimpaired participants, we tested the main and interactive effects of CSF amyloid beta (Aβ)42 /Aβ40 and phosphorylated tau (p-tau) on cortical NODDI metrics and cortical thickness, controlling for age, sex, and apolipoprotein E ε4. RESULTS We observed a significant CSF Aβ42 /Aβ40 × p-tau interaction on cortical neurite density index (NDI), but not orientation dispersion index or cortical thickness. The directionality of these interactive effects indicated: (1) among individuals with lower CSF p-tau, greater amyloid burden was associated with higher cortical NDI; and (2) individuals with greater amyloid and p-tau burden had lower cortical NDI, consistent with cortical neurodegenerative changes. DISCUSSION NDI is a particularly sensitive marker for early cortical changes that occur prior to gross atrophy or development of cognitive impairment.
Collapse
Affiliation(s)
- Nicholas M. Vogt
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Jack F. V. Hunt
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Nagesh Adluru
- Waisman Laboratory for Brain Imaging and Behavior, Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Yue Ma
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Carol A. Van Hulle
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Douglas C. Dean
- Waisman Laboratory for Brain Imaging and Behavior, Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Steven R. Kecskemeti
- Waisman Laboratory for Brain Imaging and Behavior, Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Nathaniel A. Chin
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Cynthia M. Carlsson
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, WI, USA
| | - Sanjay Asthana
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, WI, USA
| | - Sterling C. Johnson
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, WI, USA
| | | | - Richard Batrla
- Roche Diagnostics International AG, Rotkreuz, Switzerland
| | | | | | - Henrik Zetterberg
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- UK Dementia Research Institute at University College London, London, UK
| | - Andrew L. Alexander
- Waisman Laboratory for Brain Imaging and Behavior, Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Kaj Blennow
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Barbara B. Bendlin
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| |
Collapse
|
34
|
Age, sex and APOE-ε4 modify the balance between soluble and fibrillar β-amyloid in non-demented individuals: topographical patterns across two independent cohorts. Mol Psychiatry 2022; 27:2010-2018. [PMID: 35236958 PMCID: PMC9126807 DOI: 10.1038/s41380-022-01436-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 12/20/2021] [Accepted: 01/04/2022] [Indexed: 12/16/2022]
Abstract
Amyloid (Aβ) pathology is the earliest detectable pathophysiological event along the Alzheimer's continuum, which can be measured both in the cerebrospinal fluid (CSF) and by Positron Emission Tomography (PET). Yet, these biomarkers identify two distinct Aβ pools, reflecting the clearance of soluble Aβ as opposed to the presence of Aβ fibrils in the brain. An open question is whether risk factors known to increase Alzheimer's' disease (AD) prevalence may promote an imbalance between soluble and deposited Aβ. Unveiling such interactions shall aid our understanding of the biological pathways underlying Aβ deposition and foster the design of effective prevention strategies. We assessed the impact of three major AD risk factors, such as age, APOE-ε4 and female sex, on the association between CSF and PET Aβ, in two independent samples of non-demented individuals (ALFA: n = 320, ADNI: n = 682). We tested our hypotheses both in candidate regions of interest and in the whole brain using voxel-wise non-parametric permutations. All of the assessed risk factors induced a higher Aβ deposition for any given level of CSF Aβ42/40, although in distinct cerebral topologies. While age and sex mapped onto neocortical areas, the effect of APOE-ε4 was prominent in the medial temporal lobe, which represents a target of early tau deposition. Further, we found that the effects of age and APOE-ε4 was stronger in women than in men. Our data indicate that specific AD risk factors affect the spatial patterns of cerebral Aβ aggregation, with APOE-ε4 possibly facilitating a co-localization between Aβ and tau along the disease continuum.
Collapse
|
35
|
Lewczuk P, Wiltfang J, Kornhuber J, Verhasselt A. Distributions of Aβ42 and Aβ42/40 in the Cerebrospinal Fluid in View of the Probability Theory. Diagnostics (Basel) 2021; 11:diagnostics11122372. [PMID: 34943609 PMCID: PMC8700661 DOI: 10.3390/diagnostics11122372] [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: 11/11/2021] [Revised: 12/06/2021] [Accepted: 12/08/2021] [Indexed: 12/26/2022] Open
Abstract
Amyloid β 42/40 concentration quotient has been empirically shown to improve accuracy of the neurochemical diagnostics of Alzheimer’s Disease (AD) compared to the Aβ42 concentration alone, but this improvement in diagnostic performance has not been backed up by a theoretical argumentation so far. In this report we show that better accuracy of Aβ42/40 compared to Aβ1-42 is granted by fundamental laws of probability. In particular, it can be shown that the dispersion of a distribution of a quotient of two random variables (Aβ42/40) is smaller than the dispersion of the random variable in the numerator (Aβ42), provided that the two variables are proportional. Further, this concept predicts and explains presence of outlying observations, i.e., AD patients with falsely negatively high Aβ42/40 ratio, and non-AD subjects with extremely low, falsely positive, Aβ42/40 ratio.
Collapse
Affiliation(s)
- Piotr Lewczuk
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen and Friedrich-Alexander Universität Erlangen-Nürnberg, 91054 Erlangen, Germany;
- Department of Neurodegeneration Diagnostics, Medical University of Białystok and Department of Biochemical Diagnostics, University Hospital of Białystok, 15-269 Białystok, Poland
- Correspondence:
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center of Göttingen (UMG), 37075 Göttingen, Germany;
- German Center for Neurodegenerative Diseases (DZNE), 37075 Göttingen, Germany
- Neurosciences and Signaling Group, Department of Medical Sciences, Institute of Biomedicine (iBiMED), University of Aveiro, 3810-193 Aveiro, Portugal
| | - Johannes Kornhuber
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen and Friedrich-Alexander Universität Erlangen-Nürnberg, 91054 Erlangen, Germany;
| | - Anneleen Verhasselt
- Center for Statistics, Data Science Institute, Hasselt University, 3590 Hasselt, Belgium;
| |
Collapse
|
36
|
Vu KHP, Lee MC, Blankenburg GH, Chang YJ, Chu ML, Erbe A, Lesser-Rojas L, Chen YR, Chou CF. Time-Evolved SERS Signatures of DEP-Trapped Aβ and Zn 2+Aβ Peptides Revealed by a Sub-10 nm Electrode Nanogap. Anal Chem 2021; 93:16320-16329. [PMID: 34817990 DOI: 10.1021/acs.analchem.1c01521] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Alzheimer's disease (AD) has become highly relevant in aging societies, yet the fundamental molecular basis for AD is still poorly understood. New tools to study the undergoing structural conformation changes of amyloid beta (Aβ) peptides, the pathogenic hallmark of AD, could play a crucial role in the understanding of the underlying mechanisms of misfolding and cytotoxicity of this peptide. It has been recently reported that Zn2+ interacts with Aβ and changes its aggregation pathway away from less harmful fibrillar forms to more toxic species. Here, we present a versatile platform based on a set of sub-10 nm nanogap electrodes for the manipulation and sensing of biomolecules in the physiological condition at a low copy number, where molecules are trapped via dielectrophoresis (DEP) across the nanogap, which also serves as a surface-enhanced Raman spectroscopy hotspot. In this study, we demonstrate that our electrode nanogap platform can be used to study the structural difference between Aβ40 and ZnAβ40 peptides at different aggregation stages in the physiologically relevant concentration and in solution phase. The Raman spectroscopic signatures of the DEP-captured neuropeptides prove the device to be attractive as a label-free bioanalytical tool.
Collapse
Affiliation(s)
- Katrin H P Vu
- Nanoscience and Technology Program, Taiwan International Graduate Program, Academia Sinica, Taipei 11529, Taiwan, R.O.C.,Department of Engineering and System Science, National Tsing Hua University, Hsinchu 30013, Taiwan, R.O.C.,Institute of Physics, Academia Sinica, Taipei 11529, Taiwan, R.O.C
| | - Ming-Che Lee
- Graduate Institute of Life Sciences, National Defense Medical Center, Taipei 11490, Taiwan, R.O.C.,Genomics Research Center, Academia Sinica, Taipei 11529, Taiwan, R.O.C
| | - Gerhard H Blankenburg
- Nanoscience and Technology Program, Taiwan International Graduate Program, Academia Sinica, Taipei 11529, Taiwan, R.O.C.,Institute of Physics, Academia Sinica, Taipei 11529, Taiwan, R.O.C.,Department of Physics, National Taiwan University, Taipei 10617, Taiwan, R.O.C
| | - Yu-Jen Chang
- Genomics Research Center, Academia Sinica, Taipei 11529, Taiwan, R.O.C.,Taiwan International Graduate Program in Interdisciplinary Neuroscience, National Taiwan University and Academia Sinica, Taipei 11529, Taiwan, R.O.C
| | - Ming-Lee Chu
- Institute of Physics, Academia Sinica, Taipei 11529, Taiwan, R.O.C
| | - Andreas Erbe
- Department of Materials Science and Engineering, NTNU, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway
| | - Leonardo Lesser-Rojas
- Research Center for Atomic, Nuclear and Molecular Sciences, San Pedro de Montes de Oca, San Jose 11501, Costa Rica.,School of Physics, University of Costa Rica, San Pedro de Montes de Oca, San Jose 11501, Costa Rica
| | - Yun-Ru Chen
- Graduate Institute of Life Sciences, National Defense Medical Center, Taipei 11490, Taiwan, R.O.C.,Genomics Research Center, Academia Sinica, Taipei 11529, Taiwan, R.O.C
| | - Chia-Fu Chou
- Institute of Physics, Academia Sinica, Taipei 11529, Taiwan, R.O.C.,Research Center for Applied Sciences, Academia Sinica, Taipei 11529, Taiwan, R.O.C
| |
Collapse
|
37
|
Yoong SQ, Lu J, Xing H, Gyanwali B, Tan YQ, Wu XV. The prognostic utility of CSF neurogranin in predicting future cognitive decline in the Alzheimer's disease continuum: A systematic review and meta-analysis with narrative synthesis. Ageing Res Rev 2021; 72:101491. [PMID: 34688925 DOI: 10.1016/j.arr.2021.101491] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 09/13/2021] [Accepted: 10/15/2021] [Indexed: 01/08/2023]
Abstract
Core cerebrospinal fluid (CSF) biomarkers (Aβ42, T-tau, P-tau) were included as supporting diagnostic criteria for Alzheimer's Disease (AD), but they lack the power to predict AD progression. On the other hand, a new biomarker CSF Neurogranin (Ng) has been shown to predict cognitive decline. This systematic review aims to synthesise the prognostic utility of CSF Ng in predicting cognitive decline in the AD continuum. Seven databases were searched systematically from inception to 30 September 2020. Participants were 55 years or older, who had baseline and at least one follow-up cognitive assessments. Risk of bias was assessed using the Quality in Prognosis Studies tool. Meta-analysis was conducted by pooling standardised beta coefficients and adjusted hazard ratios. Thirteen studies were included and high-quality evidence suggests that CSF Ng predicts Mini-Mental State Examination (MMSE) decline in Aβ+ mild cognitive impairment (MCI). Moderate quality evidence showed that CSF Ng could predict the decline of memory and executive function in MCI. Narrative synthesis found that CSF Ng/Aβ42 was also likely to predict cognitive decline. More studies are required to validate the use of CSF Ng as an AD prognostic marker and its application in future development of drug treatment and diagnosis.
Collapse
|
38
|
Gobom J, Parnetti L, Rosa-Neto P, Vyhnalek M, Gauthier S, Cataldi S, Lerch O, Laczo J, Cechova K, Clarin M, Benet AI, Pascoal TA, Rahmouni N, Vandijck M, Huyck E, Le Bastard N, Stevenson J, Chamoun M, Alcolea D, Lleó A, Andreasson U, Verbeek MM, Bellomo G, Rinaldi R, Ashton N, Zetterberg H, Sheardova K, Hort J, Blennow K. Validation of the LUMIPULSE automated immunoassay for the measurement of core AD biomarkers in cerebrospinal fluid. Clin Chem Lab Med 2021; 60:207-219. [PMID: 34773730 DOI: 10.1515/cclm-2021-0651] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2021] [Accepted: 11/02/2021] [Indexed: 01/12/2023]
Abstract
OBJECTIVES The core cerebrospinal fluid (CSF) biomarkers; total tau (tTau), phospho-tau (pTau), amyloid β 1-42 (Aβ 1-42), and the Aβ 1-42/Aβ 1-40 ratio have transformed Alzheimer's disease (AD) research and are today increasingly used in clinical routine laboratories as diagnostic tools. Fully automated immunoassay instruments with ready-to-use assay kits and calibrators has simplified their analysis and improved reproducibility of measurements. We evaluated the analytical performance of the fully automated immunoassay instrument LUMIPULSE G (Fujirebio) for measurement of the four core AD CSF biomarkers and determined cutpoints for AD diagnosis. METHODS Comparison of the LUMIPULSE G assays was performed with the established INNOTEST ELISAs (Fujirebio) for hTau Ag, pTau 181, β-amyloid 1-42, and with V-PLEX Plus Aβ Peptide Panel 1 (6E10) (Meso Scale Discovery) for Aβ 1-42/Aβ 1-40, as well as with a LC-MS reference method for Aβ 1-42. Intra- and inter-laboratory reproducibility was evaluated for all assays. Clinical cutpoints for Aβ 1-42, tTau, and pTau was determined by analysis of three cohorts of clinically diagnosed patients, comprising 651 CSF samples. For the Aβ 1-42/Aβ 1-40 ratio, the cutpoint was determined by mixture model analysis of 2,782 CSF samples. RESULTS The LUMIPULSE G assays showed strong correlation to all other immunoassays (r>0.93 for all assays). The repeatability (intra-laboratory) CVs ranged between 2.0 and 5.6%, with the highest variation observed for β-amyloid 1-40. The reproducibility (inter-laboratory) CVs ranged between 2.1 and 6.5%, with the highest variation observed for β-amyloid 1-42. The clinical cutpoints for AD were determined to be 409 ng/L for total tau, 50.2 ng/L for pTau 181, 526 ng/L for β-amyloid 1-42, and 0.072 for the Aβ 1-42/Aβ 1-40 ratio. CONCLUSIONS Our results suggest that the LUMIPULSE G assays for the CSF AD biomarkers are fit for purpose in clinical laboratory practice. Further, they corroborate earlier presented reference limits for the biomarkers.
Collapse
Affiliation(s)
- Johan Gobom
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Lucilla Parnetti
- Laboratory of Clinical Neurochemistry, Section of Neurology, University of Perugia, Perugia, Italy
| | - Pedro Rosa-Neto
- Department of Neurology and Neurosurgery, McGill University Research Centre for Studies in Aging, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal, Psychiatry and Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada.,Montreal Neurological Institute, Montreal, QC, Canada
| | - Martin Vyhnalek
- Department of Neurology, Second Medical Faculty, Charles University, Prague, Czech Republic.,Motol University Hospital, Prague, Czech Republic.,International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic
| | - Serge Gauthier
- Department of Neurology and Neurosurgery, McGill University Research Centre for Studies in Aging, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal, Psychiatry and Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada.,Montreal Neurological Institute, Montreal, QC, Canada
| | - Samuela Cataldi
- Laboratory of Clinical Neurochemistry, Section of Neurology, University of Perugia, Perugia, Italy
| | - Ondrej Lerch
- Department of Neurology, Second Medical Faculty, Charles University, Prague, Czech Republic.,Motol University Hospital, Prague, Czech Republic.,International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic
| | - Jan Laczo
- Department of Neurology, Second Medical Faculty, Charles University, Prague, Czech Republic.,Motol University Hospital, Prague, Czech Republic.,International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic
| | - Katerina Cechova
- Department of Neurology, Second Medical Faculty, Charles University, Prague, Czech Republic.,Motol University Hospital, Prague, Czech Republic.,International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic
| | - Marcus Clarin
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Andrea I Benet
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Translational Neuroimaging Laboratory, McGill Centre for Studies in Aging, McGill University, Montreal, QC, Canada
| | - Tharick A Pascoal
- Translational Neuroimaging Laboratory, McGill Centre for Studies in Aging, McGill University, Montreal, QC, Canada
| | - Neserine Rahmouni
- Translational Neuroimaging Laboratory, McGill Centre for Studies in Aging, McGill University, Montreal, QC, Canada
| | | | | | | | - Jenna Stevenson
- Translational Neuroimaging Laboratory, McGill Centre for Studies in Aging, McGill University, Montreal, QC, Canada
| | - Mira Chamoun
- Translational Neuroimaging Laboratory, McGill Centre for Studies in Aging, McGill University, Montreal, QC, Canada
| | - Daniel Alcolea
- Department of Neurology, Memory Unit, Hospital de la Santa Creu i Sant Pau- Biomedical Research Institute Sant Pau-Universitat Autònoma de Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Alberto Lleó
- Department of Neurology, Memory Unit, Hospital de la Santa Creu i Sant Pau- Biomedical Research Institute Sant Pau-Universitat Autònoma de Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Ulf Andreasson
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Marcel M Verbeek
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.,Department of Neurology, Radboud Alzheimer Centre, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - Giovanni Bellomo
- Laboratory of Clinical Neurochemistry, Section of Neurology, University of Perugia, Perugia, Italy
| | - Roberta Rinaldi
- Laboratory of Clinical Neurochemistry, Section of Neurology, University of Perugia, Perugia, Italy
| | - Nicholas Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.,King's College London, Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute, London, UK.,NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation, London, UK
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK.,UK Dementia Research Institute at UCL, London, UK
| | - Katerina Sheardova
- Department of Neurology, Second Medical Faculty, Charles University, Prague, Czech Republic.,First Department of Neurology, Faculty of Medicine, Masaryk University and St. Anne's University Hospital, Brno, Czech Republic
| | - Jakub Hort
- Department of Neurology, Second Medical Faculty, Charles University, Prague, Czech Republic.,Motol University Hospital, Prague, Czech Republic.,First Department of Neurology, Faculty of Medicine, Masaryk University and St. Anne's University Hospital, Brno, Czech Republic
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| |
Collapse
|
39
|
Nerattini M, Rubino F, Arnone A, Polito C, Mazzeo S, Lombardi G, Puccini G, Nacmias B, De Cristofaro MT, Sorbi S, Pupi A, Sciagrà R, Bessi V, Berti V. Cerebral amyloid load determination in a clinical setting: interpretation of amyloid biomarker discordances aided by tau and neurodegeneration measurements. Neurol Sci 2021; 43:2469-2480. [PMID: 34739618 DOI: 10.1007/s10072-021-05704-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 10/26/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND Alzheimer's disease (AD) diagnosis can be hindered by amyloid biomarkers discordances. OBJECTIVE We aim to interpret discordances between amyloid positron emission tomography (Amy-PET) and cerebrospinal fluid (CSF) (Aβ42 and Aβ42/40), using Amy-PET semiquantitative analysis, [18F]fluorodeoxyglucose (FDG)-PET pattern, and CSF assays. METHOD Thirty-six subjects with dementia or mild cognitive impairment, assessed by neuropsychological tests, structural and functional imaging, and CSF assays (Aβ42, Aβ42/40, p-tau, t-tau), were retrospectively examined. Amy-PET and FDG-PET scans were analyzed by visual assessment and voxel-based analysis. SUVR were calculated on Amy-PET scans. RESULTS Groups were defined basing on the agreement among CSF Aβ42 (A), CSF Aβ42/40 Ratio (R), and Amy-PET (P) dichotomic results ( ±). In discordant groups, CSF assays, Amy-PET semiquantification, and FDG-PET patterns supported the diagnosis suggested by any two agreeing amyloid biomarkers. In groups with discordant CSF Aβ42, the ratio always agrees with Amy-PET results, solving both false-negative and false-positive Aβ42 results, with Aβ42 levels close to the cut-off in A + R-P- subjects. The A + R + P- group presented high amyloid deposition in relevant areas, such as precuneus, posterior cingulate cortex (PCC) and dorsolateral frontal inferior cortex at semiquantitative analysis. CONCLUSION The amyloid discordant cases could be overcome by combining CSF Aβ42, CSF ratio, and Amy-PET results. The concordance of any 2 out of the 3 biomarkers seems to reveal the remaining one as a false result. A cut-off point review could avoid CSF Aβ42 false-negative results. The regional semiquantitative Amy-PET analysis in AD areas, such as precuneus and PCC, could increase the accuracy in AD diagnosis.
Collapse
Affiliation(s)
- Matilde Nerattini
- Nuclear Medicine Unit, Azienda Ospedaliero-Universitaria Careggi, Largo Piero Palagi 1, 50139, Florence, Italy.
| | - Federica Rubino
- Nuclear Medicine Unit, Azienda Ospedaliero-Universitaria Careggi, Largo Piero Palagi 1, 50139, Florence, Italy
| | - Annachiara Arnone
- Nuclear Medicine Unit, Azienda Ospedaliero-Universitaria Careggi, Largo Piero Palagi 1, 50139, Florence, Italy
| | - Cristina Polito
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence (NEUROFARBA), Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla 3, 50134, Florence, Italy
| | - Salvatore Mazzeo
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence (NEUROFARBA), Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla 3, 50134, Florence, Italy
| | - Gemma Lombardi
- IRCCS Fondazione Don Carlo Gnocchi, Via Scandicci 269, 50143, Florence, Italy
| | - Giulia Puccini
- Department of Nuclear Medicine, Hospital of Prato, Via Suor Niccolina Infermiera, 20/22, 59100, Prato, Italy
| | - Benedetta Nacmias
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence (NEUROFARBA), Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla 3, 50134, Florence, Italy.,IRCCS Fondazione Don Carlo Gnocchi, Via Scandicci 269, 50143, Florence, Italy
| | - Maria Teresa De Cristofaro
- Nuclear Medicine Unit, Azienda Ospedaliero-Universitaria Careggi, Largo Piero Palagi 1, 50139, Florence, Italy
| | - Sandro Sorbi
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence (NEUROFARBA), Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla 3, 50134, Florence, Italy.,IRCCS Fondazione Don Carlo Gnocchi, Via Scandicci 269, 50143, Florence, Italy
| | - Alberto Pupi
- Nuclear Medicine Unit, Azienda Ospedaliero-Universitaria Careggi, Largo Piero Palagi 1, 50139, Florence, Italy
| | - Roberto Sciagrà
- Nuclear Medicine Unit, Azienda Ospedaliero-Universitaria Careggi, Largo Piero Palagi 1, 50139, Florence, Italy
| | - Valentina Bessi
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence (NEUROFARBA), Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla 3, 50134, Florence, Italy
| | - Valentina Berti
- Nuclear Medicine Unit, Azienda Ospedaliero-Universitaria Careggi, Largo Piero Palagi 1, 50139, Florence, Italy
| |
Collapse
|
40
|
Park S, Kim Y. Bias-generating factors in biofluid amyloid-β measurements for Alzheimer's disease diagnosis. Biomed Eng Lett 2021; 11:287-295. [PMID: 34616582 DOI: 10.1007/s13534-021-00201-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 08/05/2021] [Accepted: 08/08/2021] [Indexed: 01/03/2023] Open
Abstract
Alzheimer's disease (AD) is the most prevalent cause of dementia worldwide, yet the dearth of readily accessible diagnostic biomarkers is a substantial hindrance towards progressing to effective preventive and therapeutic approaches. Due to a long delay between cerebral amyloid-β (Aβ) accumulation and the onset of cognitive impairments, biomarkers that reflect Aβ pathology and enable routine screening for disease progression are of urgent need for application in the clinical diagnosis of AD. According to accumulating evidences, cerebrospinal fluid (CSF) and plasma offer windows to the brain as they allow monitoring of biochemical changes in the brain. Considering the high availability and accuracy in depicting Aβ deposition in the brain, Aβ levels in CSF and plasma are regarded as promising fluid biomarkers for the diagnosis of AD patients at an early stage. However, clinical data with intra- and interindividual variations in the concentrations of CSF and plasma Aβ implicate the need to reevaluate current Aβ detection methods and establish a standardized operating procedure. Therefore, this review introduces three bias-generating factors in biofluid Aβ measurement that may hamper the accurate Aβ quantification and how such complications can be overcome for the widespread implementation of fluid Aβ detection in clinical practice.
Collapse
Affiliation(s)
- Sohui Park
- Department of Pharmacy, Department of Integrative Biotechnology and Translational Medicine, and Yonsei Institute of Pharmaceutical Sciences, College of Pharmacy, Yonsei University, Incheon, 21983 Republic of Korea
| | - YoungSoo Kim
- Department of Pharmacy, Department of Integrative Biotechnology and Translational Medicine, and Yonsei Institute of Pharmaceutical Sciences, College of Pharmacy, Yonsei University, Incheon, 21983 Republic of Korea
| |
Collapse
|
41
|
Tsantzali I, Boufidou F, Sideri E, Mavromatos A, Papaioannou MG, Foska A, Tollos I, Paraskevas SG, Bonakis A, Voumvourakis KI, Tsivgoulis G, Kapaki E, Paraskevas GP. From Cerebrospinal Fluid Neurochemistry to Clinical Diagnosis of Alzheimer's Disease in the Era of Anti-Amyloid Treatments. Report of Four Patients. Biomedicines 2021; 9:biomedicines9101376. [PMID: 34680493 PMCID: PMC8533180 DOI: 10.3390/biomedicines9101376] [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] [Received: 08/31/2021] [Revised: 09/26/2021] [Accepted: 09/30/2021] [Indexed: 12/26/2022] Open
Abstract
Analysis of classical cerebrospinal fluid biomarkers, especially when incorporated in a classification/diagnostic system such as the AT(N), may offer a significant diagnostic tool allowing correct identification of Alzheimer’s disease during life. We describe four patients with more or less atypical or mixed clinical presentation, in which the classical cerebrospinal fluid biomarkers amyloid peptide with 42 and 40 amino acids (Aβ42 and Aβ40, respectively), phospho-tau (τP-181) and total tau (τΤ) were measured. Despite the unusual clinical presentation, the biomarker profile was compatible with Alzheimer’s disease in all four patients. The measurement of classical biomarkers in the cerebrospinal fluid may be a useful tool in identifying the biochemical fingerprints of Alzheimer’s disease, especially currently, due to the recent approval of the first disease-modifying treatment, allowing not only typical but also atypical cases to be enrolled in trials of such treatments.
Collapse
Affiliation(s)
- Ioanna Tsantzali
- 2nd Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, “Attikon” General University Hospital, 12462 Athens, Greece; (I.T.); (E.S.); (A.M.); (A.F.); (I.T.); (A.B.); (K.I.V.); (G.T.)
| | - Fotini Boufidou
- Neurochemistry and Biological Markers Unit, 1st Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, “Eginition” Hospital, 11528 Athens, Greece; (F.B.); (M.G.P.); (S.G.P.); (E.K.)
| | - Eleni Sideri
- 2nd Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, “Attikon” General University Hospital, 12462 Athens, Greece; (I.T.); (E.S.); (A.M.); (A.F.); (I.T.); (A.B.); (K.I.V.); (G.T.)
| | - Antonis Mavromatos
- 2nd Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, “Attikon” General University Hospital, 12462 Athens, Greece; (I.T.); (E.S.); (A.M.); (A.F.); (I.T.); (A.B.); (K.I.V.); (G.T.)
| | - Myrto G. Papaioannou
- Neurochemistry and Biological Markers Unit, 1st Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, “Eginition” Hospital, 11528 Athens, Greece; (F.B.); (M.G.P.); (S.G.P.); (E.K.)
| | - Aikaterini Foska
- 2nd Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, “Attikon” General University Hospital, 12462 Athens, Greece; (I.T.); (E.S.); (A.M.); (A.F.); (I.T.); (A.B.); (K.I.V.); (G.T.)
| | - Ioannis Tollos
- 2nd Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, “Attikon” General University Hospital, 12462 Athens, Greece; (I.T.); (E.S.); (A.M.); (A.F.); (I.T.); (A.B.); (K.I.V.); (G.T.)
| | - Sotirios G. Paraskevas
- Neurochemistry and Biological Markers Unit, 1st Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, “Eginition” Hospital, 11528 Athens, Greece; (F.B.); (M.G.P.); (S.G.P.); (E.K.)
| | - Anastasios Bonakis
- 2nd Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, “Attikon” General University Hospital, 12462 Athens, Greece; (I.T.); (E.S.); (A.M.); (A.F.); (I.T.); (A.B.); (K.I.V.); (G.T.)
| | - Konstantinos I. Voumvourakis
- 2nd Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, “Attikon” General University Hospital, 12462 Athens, Greece; (I.T.); (E.S.); (A.M.); (A.F.); (I.T.); (A.B.); (K.I.V.); (G.T.)
| | - Georgios Tsivgoulis
- 2nd Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, “Attikon” General University Hospital, 12462 Athens, Greece; (I.T.); (E.S.); (A.M.); (A.F.); (I.T.); (A.B.); (K.I.V.); (G.T.)
| | - Elisabeth Kapaki
- Neurochemistry and Biological Markers Unit, 1st Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, “Eginition” Hospital, 11528 Athens, Greece; (F.B.); (M.G.P.); (S.G.P.); (E.K.)
| | - George P. Paraskevas
- 2nd Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, “Attikon” General University Hospital, 12462 Athens, Greece; (I.T.); (E.S.); (A.M.); (A.F.); (I.T.); (A.B.); (K.I.V.); (G.T.)
- Neurochemistry and Biological Markers Unit, 1st Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, “Eginition” Hospital, 11528 Athens, Greece; (F.B.); (M.G.P.); (S.G.P.); (E.K.)
- Correspondence: ; Tel.: +30-2105832466
| |
Collapse
|
42
|
Hampel H, Hardy J, Blennow K, Chen C, Perry G, Kim SH, Villemagne VL, Aisen P, Vendruscolo M, Iwatsubo T, Masters CL, Cho M, Lannfelt L, Cummings JL, Vergallo A. The Amyloid-β Pathway in Alzheimer's Disease. Mol Psychiatry 2021; 26:5481-5503. [PMID: 34456336 PMCID: PMC8758495 DOI: 10.1038/s41380-021-01249-0] [Citation(s) in RCA: 595] [Impact Index Per Article: 198.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 07/19/2021] [Accepted: 07/28/2021] [Indexed: 02/06/2023]
Abstract
Breakthroughs in molecular medicine have positioned the amyloid-β (Aβ) pathway at the center of Alzheimer's disease (AD) pathophysiology. While the detailed molecular mechanisms of the pathway and the spatial-temporal dynamics leading to synaptic failure, neurodegeneration, and clinical onset are still under intense investigation, the established biochemical alterations of the Aβ cycle remain the core biological hallmark of AD and are promising targets for the development of disease-modifying therapies. Here, we systematically review and update the vast state-of-the-art literature of Aβ science with evidence from basic research studies to human genetic and multi-modal biomarker investigations, which supports a crucial role of Aβ pathway dyshomeostasis in AD pathophysiological dynamics. We discuss the evidence highlighting a differentiated interaction of distinct Aβ species with other AD-related biological mechanisms, such as tau-mediated, neuroimmune and inflammatory changes, as well as a neurochemical imbalance. Through the lens of the latest development of multimodal in vivo biomarkers of AD, this cross-disciplinary review examines the compelling hypothesis- and data-driven rationale for Aβ-targeting therapeutic strategies in development for the early treatment of AD.
Collapse
Affiliation(s)
- Harald Hampel
- Eisai Inc., Neurology Business Group, Woodcliff Lake, NJ, USA.
| | - John Hardy
- UK Dementia Research Institute at UCL and Department of Neurodegenerative Disease, UCL Institute of Neurology, University College London, London, UK
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Christopher Chen
- Memory Aging and Cognition Centre, Departments of Pharmacology and Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - George Perry
- Department of Biology and Neurosciences Institute, University of Texas at San Antonio (UTSA), San Antonio, TX, USA
| | - Seung Hyun Kim
- Department of Neurology, College of Medicine, Hanyang University, Seoul, Republic of Korea; Cell Therapy Center, Hanyang University Hospital, Seoul, Republic of Korea
| | - Victor L Villemagne
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Medicine, The University of Melbourne, Melbourne, VIC, Australia
| | - Paul Aisen
- USC Alzheimer's Therapeutic Research Institute, San Diego, CA, USA
| | - Michele Vendruscolo
- Centre for Misfolding Diseases, Department of Chemistry, University of Cambridge, Cambridge, UK
| | - Takeshi Iwatsubo
- Department of Neuropathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Colin L Masters
- Laureate Professor of Dementia Research, Florey Institute and The University of Melbourne, Parkville, VIC, Australia
| | - Min Cho
- Eisai Inc., Neurology Business Group, Woodcliff Lake, NJ, USA
| | - Lars Lannfelt
- Uppsala University, Department of of Public Health/Geriatrics, Uppsala, Sweden
- BioArctic AB, Stockholm, Sweden
| | - Jeffrey L Cummings
- Chambers-Grundy Center for Transformative Neuroscience, Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas (UNLV), Las Vegas, NV, USA
| | - Andrea Vergallo
- Eisai Inc., Neurology Business Group, Woodcliff Lake, NJ, USA.
| |
Collapse
|
43
|
Willemse EAJ, Sieben A, Somers C, Vermeiren Y, De Roeck N, Timmers M, Van Broeckhoven C, De Vil B, Cras P, De Deyn PP, Martin JJ, Teunissen CE, Engelborghs S, Bjerke M. Neurogranin as biomarker in CSF is non-specific to Alzheimer's disease dementia. Neurobiol Aging 2021; 108:99-109. [PMID: 34551375 DOI: 10.1016/j.neurobiolaging.2021.08.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 07/10/2021] [Accepted: 08/01/2021] [Indexed: 11/19/2022]
Abstract
We aimed to evaluate the specificity of neurogranin (Ng) for Alzheimer's disease (AD) in a dementia cohort. Cerebrospinal fluid (CSF) Ng was measured (ELISA) in two independent cohorts: (1) clinical (n = 116; age 72±11 years): AD, non-AD (+high T-tau), and controls; and (2) autopsy-confirmed (n = 97; age 71±11 years): AD and non-AD, and 50 controls (age 60±6 years). In 16 autopsy-confirmed AD and 8 control subjects, Ng was measured in tissue (BA6+BA22). Ng was compared across diagnostic groups or neuropathological staging using multilinear regression models. Median[IQR] Ng concentrations were elevated in AD (414[315-499]pg/mL) and non-AD (464[319-699]pg/mL) compared to controls (260[193-306]pg/mL), but highest in AD-high-T-tau (874[716, 1148] pg/mL) and Creutzfeldt-Jakob disease (CJD; 828[703-1373]pg/mL) in cohort 1 (p < 0.01), but not in cohort 2: AD: 358[249-470]pg/mL; non-AD:245[137-416]pg/mL; controls: 259[193-370]pg/mL. Ng and tau biomarkers strongly correlated (r = 0.4-0.9, p < 0.05), except in CJD. CSF Ng concentrations were not associated with neuropathological AD hallmarks, nor with tissue Ng concentrations. CSF Ng is a general biomarker for synaptic degeneration, strongly correlating with CSF tau, but without added value for AD differential diagnosis.
Collapse
Affiliation(s)
- Eline A J Willemse
- Reference Center for Biological Markers of Dementia (BIODEM) and Laboratory of Neurochemistry and Behavior, Laboratory of Neurobiology, Laboratory of Neurogenetics, and Biobank, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium; Neurochemistry laboratory. Dept. of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, the Netherlands; Alzheimer Center, Dept. of Neurology, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Anne Sieben
- Reference Center for Biological Markers of Dementia (BIODEM) and Laboratory of Neurochemistry and Behavior, Laboratory of Neurobiology, Laboratory of Neurogenetics, and Biobank, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Charisse Somers
- Reference Center for Biological Markers of Dementia (BIODEM) and Laboratory of Neurochemistry and Behavior, Laboratory of Neurobiology, Laboratory of Neurogenetics, and Biobank, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Yannick Vermeiren
- Reference Center for Biological Markers of Dementia (BIODEM) and Laboratory of Neurochemistry and Behavior, Laboratory of Neurobiology, Laboratory of Neurogenetics, and Biobank, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Naomi De Roeck
- Reference Center for Biological Markers of Dementia (BIODEM) and Laboratory of Neurochemistry and Behavior, Laboratory of Neurobiology, Laboratory of Neurogenetics, and Biobank, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Maarten Timmers
- Reference Center for Biological Markers of Dementia (BIODEM) and Laboratory of Neurochemistry and Behavior, Laboratory of Neurobiology, Laboratory of Neurogenetics, and Biobank, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium; Janssen Research and Development, a Division of Janssen Pharmaceutica NV, Beerse, Belgium
| | - Christine Van Broeckhoven
- Reference Center for Biological Markers of Dementia (BIODEM) and Laboratory of Neurochemistry and Behavior, Laboratory of Neurobiology, Laboratory of Neurogenetics, and Biobank, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium; Neurodegenerative Brain Diseases Group, VIB Center for Molecular Neurology, University of Antwerp, Antwerp, Belgium
| | - Bart De Vil
- Reference Center for Biological Markers of Dementia (BIODEM) and Laboratory of Neurochemistry and Behavior, Laboratory of Neurobiology, Laboratory of Neurogenetics, and Biobank, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Patrick Cras
- Reference Center for Biological Markers of Dementia (BIODEM) and Laboratory of Neurochemistry and Behavior, Laboratory of Neurobiology, Laboratory of Neurogenetics, and Biobank, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium; Department of Neurology, University Hospital Antwerp, Antwerp, Belgium
| | - Peter P De Deyn
- Reference Center for Biological Markers of Dementia (BIODEM) and Laboratory of Neurochemistry and Behavior, Laboratory of Neurobiology, Laboratory of Neurogenetics, and Biobank, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium; Department of Neurology and Memory Clinic, Hospital Network Antwerp (ZNA) Middelheim and Hoge Beuken, Antwerp, Belgium
| | - Jean-Jacques Martin
- Reference Center for Biological Markers of Dementia (BIODEM) and Laboratory of Neurochemistry and Behavior, Laboratory of Neurobiology, Laboratory of Neurogenetics, and Biobank, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Charlotte E Teunissen
- Neurochemistry laboratory. Dept. of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, the Netherlands
| | - Sebastiaan Engelborghs
- Reference Center for Biological Markers of Dementia (BIODEM) and Laboratory of Neurochemistry and Behavior, Laboratory of Neurobiology, Laboratory of Neurogenetics, and Biobank, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium; Department of Neurology and Center for Neurosciences (C4N), Universitair Ziekenhuis Brussel (UZ Brussel) and Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | - Maria Bjerke
- Reference Center for Biological Markers of Dementia (BIODEM) and Laboratory of Neurochemistry and Behavior, Laboratory of Neurobiology, Laboratory of Neurogenetics, and Biobank, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium; Neurochemistry laboratory, Department of Clinical Biology and Center for Neurosciences (C4N), Universitair Ziekenhuis Brussel (UZ Brussel) and Vrije Universiteit Brussel (VUB), Brussels, Belgium.
| |
Collapse
|
44
|
Cerebrospinal Fluid Biomarkers for Alzheimer's Disease in the Era of Disease-Modifying Treatments. Brain Sci 2021; 11:brainsci11101258. [PMID: 34679323 PMCID: PMC8534246 DOI: 10.3390/brainsci11101258] [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: 08/14/2021] [Revised: 09/19/2021] [Accepted: 09/21/2021] [Indexed: 01/04/2023] Open
Abstract
Correct in vivo diagnosis of Alzheimer’s disease (AD) helps to avoid administration of disease-modifying treatments in non-AD patients, and allows the possible use of such treatments in clinically atypical AD patients. Cerebrospinal fluid (CSF) biomarkers offer a tool for AD diagnosis. A reduction in CSF β-amyloid (marker of amyloid plaque burden), although compatible with Alzheimer’s pathological change, may also be observed in other dementing disorders, including vascular cognitive disorders due to subcortical small-vessel disease, dementia with Lewy bodies and normal-pressure hydrocephalus. Thus, for the diagnosis of AD, an abnormal result of CSF β-amyloid may not be sufficient, and an increase in phospho-tau (marker of tangle pathology) is also required in order to confirm AD diagnosis in patients with a typical amnestic presentation and reveal underlying AD in patients with atypical or mixed and diagnostically confusing clinical presentations.
Collapse
|
45
|
Baiardi S, Pizza F, Polischi B, Moresco M, Abu-Rumeileh S, Plazzi G, Parchi P. Cerebrospinal fluid biomarkers of neurodegeneration in narcolepsy type 1. Sleep 2021; 43:5573415. [PMID: 31552425 DOI: 10.1093/sleep/zsz215] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2019] [Revised: 06/27/2019] [Indexed: 11/13/2022] Open
Abstract
STUDY OBJECTIVES To measure the levels of five neurodegenerative biomarkers in the cerebrospinal fluid (CSF) of patients with narcolepsy type 1 (NT1) with variable disease duration. METHODS Following a standardized protocol of CSF collection and storage, we measured CSF total- and phosphorylated-tau, amyloid-beta 1-40 and 1-42, and neurofilament light chain (NfL) proteins in 30 nonneurological controls and 36 subjects with NT1, including 14 patients with recent disease onset (i.e. ≤12 months, short disease duration group). RESULTS CSF levels of all biomarkers were similar in NT1 subjects and controls. The comparison between NT1 with short and long disease duration only revealed slightly higher levels of CSF amyloid-beta 1-40 in the former group (median 9,549.5, interquartile range [IQR] 7,064.2-11,525.0 vs. 6,870.0, IQR 5,133.7-9,951.2, p = 0.043). CSF storage time did not influence the levels of the tested biomarkers. CONCLUSIONS The measurement of CSF total-tau, phosphorylated-tau, amyloid-beta 1-40 and 1-42, and NfL proteins is not informative in NT1.
Collapse
Affiliation(s)
- Simone Baiardi
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.,IRCCS, Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Fabio Pizza
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.,IRCCS, Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Barbara Polischi
- IRCCS, Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Monica Moresco
- IRCCS, Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Samir Abu-Rumeileh
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Giuseppe Plazzi
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.,IRCCS, Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Piero Parchi
- IRCCS, Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy.,Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
| |
Collapse
|
46
|
2020 update on the clinical validity of cerebrospinal fluid amyloid, tau, and phospho-tau as biomarkers for Alzheimer's disease in the context of a structured 5-phase development framework. Eur J Nucl Med Mol Imaging 2021; 48:2121-2139. [PMID: 33674895 PMCID: PMC8175301 DOI: 10.1007/s00259-021-05258-7] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Accepted: 02/11/2021] [Indexed: 12/15/2022]
Abstract
Purpose In the last decade, the research community has focused on defining reliable biomarkers for the early detection of Alzheimer’s disease (AD) pathology. In 2017, the Geneva AD Biomarker Roadmap Initiative adapted a framework for the systematic validation of oncological biomarkers to cerebrospinal fluid (CSF) AD biomarkers—encompassing the 42 amino-acid isoform of amyloid-β (Aβ42), phosphorylated-tau (P-tau), and Total-tau (T-tau)—with the aim to accelerate their development and clinical implementation. The aim of this work is to update the current validation status of CSF AD biomarkers based on the Biomarker Roadmap methodology. Methods A panel of experts in AD biomarkers convened in November 2019 at a 2-day workshop in Geneva. The level of maturity (fully achieved, partly achieved, preliminary evidence, not achieved, unsuccessful) of CSF AD biomarkers was assessed based on the Biomarker Roadmap methodology before the meeting and presented and discussed during the workshop. Results By comparison to the previous 2017 Geneva Roadmap meeting, the primary advances in CSF AD biomarkers have been in the area of a unified protocol for CSF sampling, handling and storage, the introduction of certified reference methods and materials for Aβ42, and the introduction of fully automated assays. Additional advances have occurred in the form of defining thresholds for biomarker positivity and assessing the impact of covariates on their discriminatory ability. Conclusions Though much has been achieved for phases one through three, much work remains in phases four (real world performance) and five (assessment of impact/cost). To a large degree, this will depend on the availability of disease-modifying treatments for AD, given these will make accurate and generally available diagnostic tools key to initiate therapy. Supplementary Information The online version contains supplementary material available at 10.1007/s00259-021-05258-7.
Collapse
|
47
|
Keshavan A, Wellington H, Chen Z, Khatun A, Chapman M, Hart M, Cash DM, Coath W, Parker TD, Buchanan SM, Keuss SE, Harris MJ, Murray‐Smith H, Heslegrave A, Fox NC, Zetterberg H, Schott JM. Concordance of CSF measures of Alzheimer's pathology with amyloid PET status in a preclinical cohort: A comparison of Lumipulse and established immunoassays. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 13:e12131. [PMID: 33598527 PMCID: PMC7867115 DOI: 10.1002/dad2.12131] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 10/16/2020] [Indexed: 01/19/2023]
Abstract
INTRODUCTION We assessed the concordance of cerebrospinal fluid (CSF) amyloid beta (Aβ) and tau measured on the fully automated Lumipulse platform with pre-symptomatic Alzheimer's disease (AD) pathology on amyloid positron emission tomography (PET). METHODS In 72 individuals from the Insight 46 study, CSF Aβ40, Aβ42, total tau (t-tau), and phosphorylated tau at site 181 (p-tau181) were measured using Lumipulse, INNOTEST, and Meso Scale Discovery (MSD) assays and inter-platform Pearson correlations derived. Lumipulse Aβ42 measures were adjusted to incorporate standardization to certified reference materials. Logistic regressions and receiver operating characteristics analysis generated CSF cut-points optimizing concordance with 18F-florbetapir amyloid PET status (n = 63). RESULTS Measurements of CSF Aβ, p-tau181, and their ratios correlated well across platforms (r 0.84 to 0.94, P < .0001); those of t-tau and t-tau/Aβ42 correlated moderately (r 0.57 to 0.79, P < .0001). The best concordance with amyloid PET (100% sensitivity and 94% specificity) was afforded by cut-points of 0.075 for Lumipulse Aβ42/Aβ40, 0.087 for MSD Aβ42/Aβ40 and 17.3 for Lumipulse Aβ42/p-tau181. DISCUSSION The Lumipulse platform provides comparable sensitivity and specificity to established CSF immunoassays in identifying pre-symptomatic AD pathology.
Collapse
Affiliation(s)
- Ashvini Keshavan
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - Henrietta Wellington
- UK Dementia Research Institute Fluid Biomarkers LaboratoryUK DRI at University College LondonLondonUK
| | - Zhongbo Chen
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - Ayesha Khatun
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - Miles Chapman
- Neuroimmunology and CSF LaboratoryNational Hospital for Neurology and NeurosurgeryLondonUK
| | - Melanie Hart
- Neuroimmunology and CSF LaboratoryNational Hospital for Neurology and NeurosurgeryLondonUK
- Department of NeuroinflammationUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - David M. Cash
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - William Coath
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - Thomas D. Parker
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - Sarah M. Buchanan
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - Sarah E. Keuss
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - Matthew J. Harris
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - Heidi Murray‐Smith
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - Amanda Heslegrave
- UK Dementia Research Institute Fluid Biomarkers LaboratoryUK DRI at University College LondonLondonUK
| | - Nick C. Fox
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - Henrik Zetterberg
- UK Dementia Research Institute Fluid Biomarkers LaboratoryUK DRI at University College LondonLondonUK
- Clinical Neurochemistry Laboratory, Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Sahlgrenska University HospitalMölndalSweden
| | - Jonathan M Schott
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| |
Collapse
|
48
|
Tanaka T, Ruifen JC, Nai YH, Tan CH, Lim CZJ, Zhang Y, Stephenson MC, Hilal S, Saridin FN, Gyanwali B, Villaraza S, Robins EG, Ihara M, Schöll M, Zetterberg H, Blennow K, Ashton NJ, Shao H, Reilhac A, Chen C. Head-to-head comparison of amplified plasmonic exosome Aβ42 platform and single-molecule array immunoassay in a memory clinic cohort. Eur J Neurol 2021; 28:1479-1489. [PMID: 33370497 DOI: 10.1111/ene.14704] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Accepted: 12/20/2020] [Indexed: 12/16/2022]
Abstract
BACKGROUND AND PURPOSE Various blood biomarkers reflecting brain amyloid-β (Aβ) load have recently been proposed with promising results. However, to date, no comparative study amongst blood biomarkers has been reported. Our objective was to examine the diagnostic performance and cost effectiveness of three blood biomarkers on the same cohort. METHODS Using the same cohort (n = 68), the performances of the single-molecule array (Simoa) Aβ40, Aβ42, Aβ42/Aβ40 and the amplified plasmonic exosome (APEX) Aβ42 blood biomarkers were compared using amyloid positron emission tomography (PET) as the reference standard. The extent to which these blood tests can reduce the recruitment cost of clinical trials was also determined by identifying amyloid positive (Aβ+) participants. RESULTS Compared to Simoa biomarkers, APEX-Aβ42 showed significantly higher correlations with amyloid PET retention values and excellent diagnostic performance (sensitivity 100%, specificity 93.3%, area under the curve 0.995). When utilized for clinical trial recruitment, our simulation showed that pre-screening with blood biomarkers followed by a confirmatory amyloid PET imaging would roughly half the cost (56.8% reduction for APEX-Aβ42 and 48.6% for Simoa-Aβ42/Aβ40) compared to the situation where only PET imaging is used. Moreover, with 100% sensitivity, APEX-Aβ42 pre-screening does not increase the required number of initial participants. CONCLUSIONS With its high diagnostic performance, APEX is an ideal candidate for Aβ+ subject identification, monitoring and primary care screening, and could efficiently enrich clinical trials with Aβ+ participants whilst halving recruitment costs.
Collapse
Affiliation(s)
- Tomotaka Tanaka
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Clinical Imaging Research Centre, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Department of Neurology, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Joyce Chong Ruifen
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Ying-Hwey Nai
- Clinical Imaging Research Centre, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Chin Hong Tan
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Division of Psychology, Nanyang Technological University, Singapore, Singapore
| | - Carine Z J Lim
- Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore, Singapore.,Institute for Health Innovation and Technology, National University of Singapore, Singapore, Singapore
| | - Yan Zhang
- Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore, Singapore
| | - Mary C Stephenson
- Clinical Imaging Research Centre, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Saima Hilal
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Francis N Saridin
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Bibek Gyanwali
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Steven Villaraza
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Edward G Robins
- Clinical Imaging Research Centre, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Singapore Bioimaging Consortium, Agency for Science, A*Star, Singapore, Singapore
| | - Masafumi Ihara
- Department of Neurology, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Michael Schöll
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK.,UK Dementia Research Institute at UCL, London, UK
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.,Maurice Wohl Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,NIHR Biomedical Research Centre for Mental Health, Biomedical Research Unit for Dementia at South London, and Maudsley NHS Foundation, London, UK
| | - Huilin Shao
- Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore, Singapore.,Institute for Health Innovation and Technology, National University of Singapore, Singapore, Singapore
| | - Anthonin Reilhac
- Clinical Imaging Research Centre, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Christopher Chen
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| |
Collapse
|
49
|
Alomar-Dominguez C, Dostal L, Thaler J, Putz G, Humpel C, Lederer W. Beta-amyloid peptides(1-42) and (1-40) in the cerebrospinal fluid during pregnancy: a prospective observational study. Arch Womens Ment Health 2021; 24:455-461. [PMID: 33009578 PMCID: PMC8116303 DOI: 10.1007/s00737-020-01072-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Accepted: 09/23/2020] [Indexed: 11/27/2022]
Abstract
To evaluate changes in concentrations of selected biomarkers, neurotrophic factors, and growth factors in the cerebrospinal fluid during pregnancy. A prospective observational study was conducted in 32 pregnant women undergoing gynecological and obstetrical surgery under spinal anesthesia in a university hospital. Beta-amyloid(1-42) and beta-amyloid(1-40) peptides, brain-derived neurotrophic factor, glial cell line-derived neurotrophic factor, and vascular endothelial growth factor were analyzed in cerebrospinal fluid using an enzyme-linked immunosorbent assay. Eight women in second trimester pregnancy who underwent spinal anesthesia for gynecological or obstetrical surgery were compared with 24 matched women in third trimester pregnancies. CSF concentrations of beta-amyloid(1-42) were significantly higher in third trimester pregnancies (p = 0.025). During third trimester, the beta-amyloid ratio correlated with the vascular endothelial growth factor (rs = 0.657; p = 0.008). Higher concentrations of beta-amyloid(1-42) in cerebrospinal fluid of third trimester pregnancies and correlations between the beta-amyloid ratio and the vascular endothelial growth factor support the hypothesis that beta-amyloid peptides are involved in complex adaptive brain alterations during pregnancy.
Collapse
Affiliation(s)
- Cristina Alomar-Dominguez
- Department of Anesthesiology and Critical Care Medicine, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria.
| | - L Dostal
- Department of Medical Statistics, Informatics and Health Economics, Medical University of Innsbruck, Innsbruck, Austria
| | - J Thaler
- Department of Anesthesiology and Critical Care Medicine, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria
| | - G Putz
- Department of Anesthesiology and Critical Care Medicine, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria
| | - C Humpel
- Psychiatric Laboratory, Department of Psychiatry, Psychotherapy and Psychosomatics, Medical University of Innsbruck, Innsbruck, Austria
| | - W Lederer
- Department of Anesthesiology and Critical Care Medicine, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria
| |
Collapse
|
50
|
Angiotensin Converting Enzyme Inhibitors and Angiotensin Receptor Blockers Rescue Memory Defects in Drosophila-Expressing Alzheimer's Disease-Related Transgenes Independently of the Canonical Renin Angiotensin System. eNeuro 2020; 7:ENEURO.0235-20.2020. [PMID: 33060184 PMCID: PMC7768280 DOI: 10.1523/eneuro.0235-20.2020] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 09/29/2020] [Accepted: 10/01/2020] [Indexed: 01/09/2023] Open
Abstract
Alzheimer's disease (AD) is a degenerative disorder that causes progressive memory and cognitive decline. Recently, studies have reported that inhibitors of the mammalian renin angiotensin system (RAS) result in a significant reduction in the incidence and progression of AD by unknown mechanisms. Here, we used a genetic and pharmacological approach to evaluate the beneficial effects of angiotensin converting enzyme inhibitors (ACE-Is) and angiotensin receptor blockers (ARBs) in Drosophila expressing AD-related transgenes. Importantly, while ACE orthologs have been identified in Drosophila, other RAS components are not conserved. We show that captopril, an ACE-I, and losartan, an ARB, can suppress a rough eye phenotype and brain cell death in flies expressing a mutant human C99 transgene. Captopril also significantly rescues memory defects in these flies. Similarly, both drugs reduce cell death in Drosophila expressing human Aβ42 and losartan significantly rescues memory deficits. However, neither drug affects production, accumulation or clearance of Aβ42 Importantly, neither drug rescued brain cell death in Drosophila expressing human Tau, suggesting that RAS inhibitors specifically target the amyloid pathway. Of note, we also observed reduced cell death and a complete rescue of memory deficits when we crossed a null mutation in Drosophila Acer into each transgenic line demonstrating that the target of captopril in Drosophila is Acer. Together, these studies demonstrate that captopril and losartan are able to modulate AD related phenotypes in the absence of the canonical RAS pathway and suggest that both drugs have additional targets that can be identified in Drosophila.
Collapse
|