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Yang Y, Huh K, Kwak YT. Relationship between the response to donepezil and plasma amyloid beta oligomers in patients with Alzheimer's disease. Geriatr Gerontol Int 2024. [PMID: 39149764 DOI: 10.1111/ggi.14958] [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: 05/03/2024] [Revised: 07/10/2024] [Accepted: 07/23/2024] [Indexed: 08/17/2024]
Abstract
AIM To date, there is no reported effective biomarker that can predict which Alzheimer's disease (AD) patients will respond to donepezil and which will not. This study aimed to investigate whether baseline values of Aβ oligomers (AβOs), measured by the Multimer Detection System-Oligomeric Aβ (MDS-OAβ), can be used to predict responders after 6 months of donepezil medication. METHODS The study enrolled 104 patients diagnosed with probable AD. After 6 months of donepezil medication, the response to treatment was evaluated by re-assessing the Korean version of the Mini-Mental State Examination (K-MMSE) and Clinical Dementia Rating scale-Sum of Box (CDR-SB) scales conducted at baseline. The patients were categorized into two groups according to the baseline MDS-OAβ values known as the cut-off for AD diagnosis: a group with values below 0.78 and another group with values equal to or above 0.78. RESULTS After 6 months of medication, the number of responders was 50 (49.5%). Responders exhibited significantly worse baseline CDR, CDR-SB, K-MMSE, and Barthel index compared with non-responders. There was a significantly higher number of responders among patients with MDS-OAβ values below the cut-off of 0.78 compared with those with values equal to or above this threshold. Furthermore, there was a significant improvement in the K-MMSE and CDR-SB after 6 months of donepezil medication in patients with MDS-OAβ values below 0.78 compared with those with values equal to or above 0.78. CONCLUSIONS Baseline MDS-OAβ values might constitute a novel biochemical marker for the efficacy of 6 months of donepezil treatment in AD. Geriatr Gerontol Int 2024; ••: ••-••.
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Affiliation(s)
- YoungSoon Yang
- Department of Neurology, Soonchunhyang University College of Medicine, Cheonan Hospital, Cheonan, Korea
| | - Kyoon Huh
- Department of Neurology, Hyoja Geriatric Hospital, Yongin, Korea
| | - Yong Tae Kwak
- Department of Neurology, Hyoja Geriatric Hospital, Yongin, Korea
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Meng X, Song Q, Liu Z, Liu X, Wang Y, Liu J. Neurotoxic β-amyloid oligomers cause mitochondrial dysfunction-the trigger for PANoptosis in neurons. Front Aging Neurosci 2024; 16:1400544. [PMID: 38808033 PMCID: PMC11130508 DOI: 10.3389/fnagi.2024.1400544] [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: 03/13/2024] [Accepted: 04/29/2024] [Indexed: 05/30/2024] Open
Abstract
As the global population ages, the incidence of elderly patients with dementia, represented by Alzheimer's disease (AD), will continue to increase. Previous studies have suggested that β-amyloid protein (Aβ) deposition is a key factor leading to AD. However, the clinical efficacy of treating AD with anti-Aβ protein antibodies is not satisfactory, suggesting that Aβ amyloidosis may be a pathological change rather than a key factor leading to AD. Identification of the causes of AD and development of corresponding prevention and treatment strategies is an important goal of current research. Following the discovery of soluble oligomeric forms of Aβ (AβO) in 1998, scientists began to focus on the neurotoxicity of AβOs. As an endogenous neurotoxin, the active growth of AβOs can lead to neuronal death, which is believed to occur before plaque formation, suggesting that AβOs are the key factors leading to AD. PANoptosis, a newly proposed concept of cell death that includes known modes of pyroptosis, apoptosis, and necroptosis, is a form of cell death regulated by the PANoptosome complex. Neuronal survival depends on proper mitochondrial function. Under conditions of AβO interference, mitochondrial dysfunction occurs, releasing lethal contents as potential upstream effectors of the PANoptosome. Considering the critical role of neurons in cognitive function and the development of AD as well as the regulatory role of mitochondrial function in neuronal survival, investigation of the potential mechanisms leading to neuronal PANoptosis is crucial. This review describes the disruption of neuronal mitochondrial function by AβOs and elucidates how AβOs may activate neuronal PANoptosis by causing mitochondrial dysfunction during the development of AD, providing guidance for the development of targeted neuronal treatment strategies.
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Affiliation(s)
| | | | | | | | | | - Jinyu Liu
- Department of Toxicology, School of Public Health, Jilin University, Changchun, China
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Delaby C, Lehmann S. [On the road to biological blood diagnosis of Alzheimer's disease?]. Med Sci (Paris) 2024; 40:351-360. [PMID: 38651960 DOI: 10.1051/medsci/2024037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/25/2024] Open
Abstract
The growing number of people suffering from Alzheimer's disease (AD) represents a major public health problem. The diagnosis of AD is multidisciplinary and involves the use of amyloid and tau biomarkers measured in cerebrospinal fluid. Recent advances in analytical techniques now allow us to measure these biomarkers in blood. Blood biomarkers offer particularly promising potential for early, minimally invasive detection of AD, as well as for differential diagnosis of dementia and patient follow-up. The aim of this review is to provide an overview of current and candidate blood biomarkers for AD, their informative value, and their potential to be integrated into clinical practice in the near future.
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Affiliation(s)
- Constance Delaby
- LBPC-PPC, Université Montpellier, CHU Montpellier, INM Inserm U1298, Montpellier, France - Hospital de la Santa Creu i Sant Pau - Biomedical Research Institute Sant Pau - Universitat Autònoma de Barcelona, Barcelone, Espagne
| | - Sylvain Lehmann
- LBPC-PPC, Université Montpellier, CHU Montpellier, INM Inserm U1298, Montpellier, France
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Kim GH, Kim J, Choi WS, Kim YK, Lee KH, Jang JW, Kim JG, Ryu HJ, Yang SJ, Jang H, Jung NY, Kim KW, Jeong Y, Moon SY. Executive Summary of 2023 International Conference of the Korean Dementia Association (IC-KDA 2023): A Report From the Academic Committee of the Korean Dementia Association. Dement Neurocogn Disord 2024; 23:75-88. [PMID: 38720824 PMCID: PMC11073927 DOI: 10.12779/dnd.2024.23.2.75] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2024] [Revised: 04/07/2024] [Accepted: 04/10/2024] [Indexed: 05/12/2024] Open
Abstract
The Korean Dementia Association (KDA) has been organizing biennial international academic conferences since 2019, with the International Conference of the KDA (IC-KDA) 2023 held in Busan under the theme 'Beyond Boundaries: Advancing Global Dementia Solutions.' The conference comprised 6 scientific sessions, 3 plenary lectures, and 4 luncheon symposiums, drawing 804 participants from 35 countries. Notably, a Korea-Taiwan Joint Symposium addressed insights into Alzheimer's disease (AD). Plenary lectures by renowned scholars explored topics such as microbiome-related AD pathogenesis, social cognition in neurodegenerative diseases, and genetic frontotemporal dementia (FTD). On the first day, specific presentations covered subjects like the gut-brain axis and neuroinflammation in dementia, blood-based biomarkers in AD, and updates in AD therapeutics. The second day's presentations addressed recent issues in clinical neuropsychology, FTD cohort studies, and the pathogenesis of non-AD dementia. The Academic Committee of the KDA compiles lecture summaries to provide comprehensive understanding of the advanced dementia knowledge presented at IC-KDA 2023.
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Affiliation(s)
- Geon Ha Kim
- Department of Neurology, Ewha Womans University Mokdong Hospital, Ewha Womans University, College of Medicine, Seoul, Korea
| | - Jaeho Kim
- Department of Neurology, Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong, Korea
| | - Won-Seok Choi
- School of Biological Sciences and Technology, College of Natural Sciences, Chonnam National University, Gwangju, Korea
| | - Yun Kyung Kim
- Brain Science Institute, Korea Institute of Science and Technology, Seoul, Korea
| | - Kun Ho Lee
- Department of Biomedical Science, Chosun University, Gwangju, Korea
| | - Jae-Won Jang
- Department of Neurology, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon, Korea
| | - Jae Gwan Kim
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Korea
| | - Hui Jin Ryu
- Department of Neurology, Konkuk University Medical Center, Seoul, Korea
| | - Soh-Jeong Yang
- Department of Neurology, Severance Hospital of Yonsei University Health System, Seoul, Korea
| | - Hyemin Jang
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Na-Yeon Jung
- Department of Neurology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Korea
| | - Ko Woon Kim
- Department of Neurology, Jeonbuk National University Medical School and Hospital, Jeonju, Korea
| | - Yong Jeong
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea
| | - So Young Moon
- Department of Neurology, Ajou University School of Medicine, Suwon, Korea
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Blömeke L, Rehn F, Kraemer‐Schulien V, Kutzsche J, Pils M, Bujnicki T, Lewczuk P, Kornhuber J, Freiesleben SD, Schneider L, Preis L, Priller J, Spruth EJ, Altenstein S, Lohse A, Schneider A, Fliessbach K, Wiltfang J, Hansen N, Rostamzadeh A, Düzel E, Glanz W, Incesoy EI, Butryn M, Buerger K, Janowitz D, Ewers M, Perneczky R, Rauchmann B, Teipel S, Kilimann I, Goerss D, Laske C, Munk MH, Sanzenbacher C, Spottke A, Roy‐Kluth N, Heneka MT, Brosseron F, Wagner M, Wolfsgruber S, Kleineidam L, Stark M, Schmid M, Jessen F, Bannach O, Willbold D, Peters O. Aβ oligomers peak in early stages of Alzheimer's disease preceding tau pathology. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2024; 16:e12589. [PMID: 38666085 PMCID: PMC11044868 DOI: 10.1002/dad2.12589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 03/11/2024] [Accepted: 03/15/2024] [Indexed: 04/28/2024]
Abstract
INTRODUCTION Soluble amyloid beta (Aβ) oligomers have been suggested as initiating Aβ related neuropathologic change in Alzheimer's disease (AD) but their quantitative distribution and chronological sequence within the AD continuum remain unclear. METHODS A total of 526 participants in early clinical stages of AD and controls from a longitudinal cohort were neurobiologically classified for amyloid and tau pathology applying the AT(N) system. Aβ and tau oligomers in the quantified cerebrospinal fluid (CSF) were measured using surface-based fluorescence intensity distribution analysis (sFIDA) technology. RESULTS Across groups, highest Aβ oligomer levels were found in A+ with subjective cognitive decline and mild cognitive impairment. Aβ oligomers were significantly higher in A+T- compared to A-T- and A+T+. APOE ε4 allele carriers showed significantly higher Aβ oligomer levels. No differences in tau oligomers were detected. DISCUSSION The accumulation of Aβ oligomers in the CSF peaks early within the AD continuum, preceding tau pathology. Disease-modifying treatments targeting Aβ oligomers might have the highest therapeutic effect in these disease stages. Highlights Using surface-based fluorescence intensity distribution analysis (sFIDA) technology, we quantified Aβ oligomers in cerebrospinal fluid (CSF) samples of the DZNE-Longitudinal Cognitive Impairment and Dementia (DELCODE) cohortAβ oligomers were significantly elevated in mild cognitive impairment (MCI)Amyloid-positive subjects in the subjective cognitive decline (SCD) group increased compared to the amyloid-negative control groupInterestingly, levels of Aβ oligomers decrease at advanced stages of the disease (A+T+), which might be explained by altered clearing mechanisms.
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Shim KH, Kim D, Kang MJ, Pyun J, Park YH, Youn YC, Park KW, Suk K, Lee H, Gomes BF, Zetterberg H, An SSA, Kim S. Subsequent correlated changes in complement component 3 and amyloid beta oligomers in the blood of patients with Alzheimer's disease. Alzheimers Dement 2024; 20:2731-2741. [PMID: 38411315 PMCID: PMC11032549 DOI: 10.1002/alz.13734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 12/05/2023] [Accepted: 01/19/2024] [Indexed: 02/28/2024]
Abstract
INTRODUCTION Alzheimer's disease (AD) involves the complement cascade, with complement component 3 (C3) playing a key role. However, the relationship between C3 and amyloid beta (Aβ) in blood is limited. METHODS Plasma C3 and Aβ oligomerization tendency (AβOt) were measured in 35 AD patients and 62 healthy controls. Correlations with cerebrospinal fluid (CSF) biomarkers, cognitive impairment, and amyloid positron emission tomography (PET) were analyzed. Differences between biomarkers were compared in groups classified by concordances of biomarkers. RESULTS Plasma C3 and AβOt were elevated in AD patients and in CSF or amyloid PET-positive groups. Weak positive correlation was found between C3 and AβOt, while both had strong negative correlations with CSF Aβ42 and cognitive performance. Abnormalities were observed for AβOt and CSF Aβ42 followed by C3 changes. DISCUSSION Increased plasma C3 in AD are associated with amyloid pathology, possibly reflecting a defense response for Aβ clearance. Further studies on Aβ-binding proteins will enhance understanding of Aβ mechanisms in blood.
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Affiliation(s)
- Kyu Hwan Shim
- Department of Bionano TechnologyGachon UniversitySeongnamRepublic of Korea
| | - Danyeong Kim
- Department of Bionano TechnologyGachon UniversitySeongnamRepublic of Korea
| | - Min Ju Kang
- Department of NeurologyVeterans Medical Research InstituteVeterans Health Service Medical CenterSeoulRepublic of Korea
| | - Jung‐Min Pyun
- Department of NeurologySoonchunhyang University Seoul HospitalSoonchunhyang University College of MedicineSeoulRepublic of Korea
| | - Young Ho Park
- Department of NeurologySeoul National University College of Medicine and Clinical Neuroscience CenterSeoul National University Bundang HospitalSeongnamRepublic of Korea
| | - Young Chul Youn
- Department of NeurologyChung‐Ang University College of MedicineSeoulRepublic of Korea
| | - Kyung Won Park
- Department of NeurologyDong‐A University College of Medicine and Institute of Convergence Bio‐HealthBusanRepublic of Korea
| | - Kyoungho Suk
- Department of PharmacologyKyungpook National University School of MedicineDaeguRepublic of Korea
| | - Ho‐Won Lee
- Department of NeurologyKyungpook National University School of MedicineDaeguRepublic of Korea
| | - Bárbara Fernandes Gomes
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience & Physiologythe Sahlgrenska Academy at the University of GothenburgMölndalSweden
| | - Henrik Zetterberg
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience & Physiologythe Sahlgrenska Academy at the University of GothenburgMölndalSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
- Department of Neurodegenerative DiseaseUCL Institute of Neurology, Queen SquareLondonUK
- UK Dementia Research Institute at UCLLondonUK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water BayHong KongChina
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthUniversity of Wisconsin–MadisonMadisonWisconsinUSA
| | - Seong Soo A. An
- Department of Bionano TechnologyGachon UniversitySeongnamRepublic of Korea
| | - SangYun Kim
- Department of NeurologySeoul National University College of Medicine and Clinical Neuroscience CenterSeoul National University Bundang HospitalSeongnamRepublic of Korea
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Wang SM, Kang DW, Um YH, Kim S, Lee CU, Scheltens P, Lim HK. Plasma oligomer beta-amyloid is associated with disease severity and cerebral amyloid deposition in Alzheimer's disease spectrum. Alzheimers Res Ther 2024; 16:55. [PMID: 38468313 PMCID: PMC10926587 DOI: 10.1186/s13195-024-01400-3] [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: 04/06/2023] [Accepted: 01/26/2024] [Indexed: 03/13/2024]
Abstract
BACKGROUND Multimer detection system-oligomeric amyloid-β (MDS-OAβ) is a measure of plasma OAβ, which is associated with Alzheimer's disease (AD) pathology. However, the relationship between MDS-OAβ and disease severity of AD is not clear. We aimed to investigate MDS-OAβ levels in different stages of AD and analyze the association between MDS-OAβ and cerebral Aβ deposition, cognitive function, and cortical thickness in subjects within the AD continuum. METHODS In this cross-sectional study, we analyzed a total 126 participants who underwent plasma MDS-OAβ, structural magnetic resonance image of brain, and neurocognitive measures using Korean version of the Consortium to Establish a Registry for Alzheimer's Disease, and cerebral Aβ deposition or amyloid positron emission tomography (A-PET) assessed by [18F] flutemetamol PET. Subjects were divided into 4 groups: N = 39 for normal control (NC), N = 31 for A-PET-negative mild cognitive impairment (MCI) patients, N = 30 for A-PET-positive MCI patients, and N = 22 for AD dementia patients. The severity of cerebral Aβ deposition was expressed as standard uptake value ratio (SUVR). RESULTS Compared to the NC (0.803 ± 0.27), MDS-OAβ level was higher in the A-PET-negative MCI group (0.946 ± 0.137) and highest in the A-PET-positive MCI group (1.07 ± 0.17). MDS-OAβ level in the AD dementia group was higher than in the NC, but it fell to that of the A-PET-negative MCI group level (0.958 ± 0.103). There were negative associations between MDS-OAβ and cognitive function and both global and regional cerebral Aβ deposition (SUVR). Cortical thickness of the left fusiform gyrus showed a negative association with MDS-OAβ when we excluded the AD dementia group. CONCLUSIONS These findings suggest that MDS-OAβ is not only associated with neurocognitive staging, but also with cerebral Aβ burden in patients along the AD continuum.
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Affiliation(s)
- Sheng-Min Wang
- Department of Psychiatry, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 10, 63-Ro, Yeongdeungpo-Gu, Seoul, 07345, South Korea
| | - Dong Woo Kang
- Department of Psychiatry, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, 06591, South Korea
| | - Yoo Hyun Um
- Department of Psychiatry, St. Vincent Hospital, Suwon, Korea, College of Medicine, The Catholic University of Korea, Suwon, 16247, South Korea
| | - Sunghwan Kim
- Department of Psychiatry, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 10, 63-Ro, Yeongdeungpo-Gu, Seoul, 07345, South Korea
| | - Chang Uk Lee
- Department of Psychiatry, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, 06591, South Korea
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1118, Amsterdam, 1081, HZ, Netherlands
- EQT Life Sciences Partners, Amsterdam, 1071, DV, The Netherlands
| | - Hyun Kook Lim
- Department of Psychiatry, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 10, 63-Ro, Yeongdeungpo-Gu, Seoul, 07345, South Korea.
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Kim J, Yang Y. Alterations in cognitive function and blood biomarkers following transcranial direct current stimulation in patients with amyloid positron emission tomography-positive Alzheimer's disease: a preliminary study. Front Neurosci 2023; 17:1327886. [PMID: 38178837 PMCID: PMC10765986 DOI: 10.3389/fnins.2023.1327886] [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: 10/25/2023] [Accepted: 12/08/2023] [Indexed: 01/06/2024] Open
Abstract
Introduction Alzheimer's disease (AD), the most common form of dementia, is characterized by progressive cognitive decline. To address this, we conducted a randomized, double-blinded, sham-controlled study to investigate the therapeutic potential of transcranial direct current stimulation (tDCS) on patients with amyloid positron emission tomography (PET)- positive AD. Methods Participants already undergoing pharmacological treatment and testing positive for amyloid PET were divided into Active-tDCS (n = 8) and Sham-tDCS (n = 8) groups. For 12 weeks, participants or their caregivers administered daily bi-frontal tDCS (YMS-201B+, Ybrain Inc., Seongnam, Korea) at home (2 mA, 30 min). Pre- and post-intervention assessments included neuropsychological tests and blood sample measurements for oligomerized beta-amyloid. Results The Active-tDCS group demonstrated significant improvements in cognitive domains such as language abilities, verbal memory, and attention span and in frontal lobe functions compared to the Sham-tDCS group. Furthermore, the Active-tDCS group showed a marked reduction in post-intervention plasma Aβ oligomerization tendency level, suggesting changes in pivotal AD-associated biomarkers. Discussion Our results emphasize the potential therapeutic benefits of tDCS for mild AD patients with amyloid PET positivity and stress the urgency for broader research, considering the global challenges of dementia and the need to pursue innovative therapeutic strategies.
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Affiliation(s)
- Jinuk Kim
- Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon, Republic of Korea
| | - YoungSoon Yang
- Department of Neurology, Soonchunhyang University College of Medicine, Cheonan Hospital, Cheonan, Republic of Korea
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Bae H, Kang MJ, Ha SW, Jeong DE, Lee K, Lim S, Min JY, Min KB. Association of plasma amyloid-β oligomerization with theta/beta ratio in older adults. Front Aging Neurosci 2023; 15:1291881. [PMID: 38106526 PMCID: PMC10722169 DOI: 10.3389/fnagi.2023.1291881] [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: 09/10/2023] [Accepted: 11/06/2023] [Indexed: 12/19/2023] Open
Abstract
Background Oligomeric Aβ (OAβ) is a promising candidate marker for Alzheimer's disease (AD) diagnosis. Electroencephalography (EEG) is a potential tool for early detection of AD. Still, whether EEG power ratios, particularly the theta/alpha ratio (TAR) and theta/beta ratio (TBR), reflect Aβ burden-a primary mechanism underlying cognitive impairment and AD. This study investigated the association of TAR and TBR with amyloid burden in older adults based on MDS-OAβ levels. Methods 529 individuals (aged ≥60 years) were recruited. All participants underwent EEG (MINDD SCAN, Ybrain Inc., South Korea) and AlzOn™ test (PeopleBio Inc., Gyeonggi-do, Republic of Korea) for quantifying MDS-OAβ values in the plasma. EEG variables were log-transformed to normalize the data distribution. Using the MDS-OAβ cutoff value (0.78 ng/mL), all participants were classified into two groups: high MDS-OAβ and low MDS-OAβ. Results Participants with high MDS-OAβ levels had significantly higher TARs and TBRs than those with low MDS-OAβ levels. The log-transformed TBRs in the central lobe (β = 0.161, p = 0.0026), frontal lobe (β = 0.145, p = 0.0044), parietal lobe (β = 0.166, p = 0.0028), occipital lobe (β = 0.158, p = 0.0058), and temporal lobe (beta = 0.162, p = 0.0042) were significantly and positively associated with increases in MDS-OAβ levels. After adjusting for the Bonferroni correction, the TBRs in all lobe regions, except the occipital lobe, were significantly associated with increased MDS-OAβ levels. Conclusion We found a significant association of MDS-OAβ with TBR in older adults. This finding indicates that an increase in amyloid burden may be associated with an increase in the low-frequency band and a decrease in the relatively high-frequency band.
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Affiliation(s)
- Heewon Bae
- Veterans Medical Research Institute, Veterans Health Service Medical Center, Seoul, Republic of Korea
- Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea
| | - Min Ju Kang
- Department of Neurology, Veterans Health Service Medical Center, Seoul, Republic of Korea
| | - Sang-Won Ha
- Department of Neurology, Veterans Health Service Medical Center, Seoul, Republic of Korea
| | - Da-Eun Jeong
- Department of Neurology, Veterans Health Service Medical Center, Seoul, Republic of Korea
| | - Kiwon Lee
- Ybrain Research Institute, Seongnam-si, Republic of Korea
| | - Seungui Lim
- Ybrain Research Institute, Seongnam-si, Republic of Korea
| | - Jin-Young Min
- Veterans Medical Research Institute, Veterans Health Service Medical Center, Seoul, Republic of Korea
| | - Kyoung-Bok Min
- Department of Preventive Medicine, College of Medicine, Seoul National University, Seoul, Republic of Korea
- Medical Research Center, Institute of Health Policy and Management, Seoul National University, Seoul, Republic of Korea
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Delaby C, Hirtz C, Lehmann S. Overview of the blood biomarkers in Alzheimer's disease: Promises and challenges. Rev Neurol (Paris) 2023; 179:161-172. [PMID: 36371265 DOI: 10.1016/j.neurol.2022.09.003] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 08/30/2022] [Accepted: 09/02/2022] [Indexed: 11/11/2022]
Abstract
The increasing number of people with advanced Alzheimer's disease (AD) represents a significant psychological and financial cost to the world population. Accurate detection of the earliest phase of preclinical AD is of major importance for the success of preventive and therapeutic strategies (Cullen et al., 2021). Advances in analytical techniques have been essential for the development of sensitive, specific and reliable diagnostic tests for AD biomarkers in biological fluids (cerebrospinal fluid and blood). Blood biomarkers hold promising potential for early and minimally invasive detection of AD, but also for differential diagnosis of dementia and for monitoring the course of the disease. The aim of this review is to provide an overview of current blood biomarkers of AD, from tau proteins and amyloid peptides to biomarkers of neuronal degeneration and inflammation, reactive and metabolic factors. We thus discuss the informative value of currently candidate blood biomarkers and their potential to be integrated into clinical practice for the management of AD in the near future.
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Affiliation(s)
- C Delaby
- LBPC-PPC, Université Montpellier, CHU Montpellier, INM Inserm, Montpellier, France; Hospital de la Santa Creu i Sant Pau - Biomedical Research Institute Sant Pau - Universitat Autònoma de Barcelona, Barcelona, Spain
| | - C Hirtz
- LBPC-PPC, Université Montpellier, CHU Montpellier, INM Inserm, Montpellier, France
| | - S Lehmann
- LBPC-PPC, Université Montpellier, CHU Montpellier, INM Inserm, Montpellier, France.
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Chatterjee P, Doré V, Pedrini S, Krishnadas N, Thota R, Bourgeat P, Ikonomovic MD, Rainey-Smith SR, Burnham SC, Fowler C, Taddei K, Mulligan R, Ames D, Masters CL, Fripp J, Rowe CC, Martins RN, Villemagne VL. Plasma Glial Fibrillary Acidic Protein Is Associated with 18F-SMBT-1 PET: Two Putative Astrocyte Reactivity Biomarkers for Alzheimer's Disease. J Alzheimers Dis 2023; 92:615-628. [PMID: 36776057 PMCID: PMC10041433 DOI: 10.3233/jad-220908] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
Abstract
BACKGROUND Astrocyte reactivity is an early event along the Alzheimer's disease (AD) continuum. Plasma glial fibrillary acidic protein (GFAP), posited to reflect astrocyte reactivity, is elevated across the AD continuum from preclinical to dementia stages. Monoamine oxidase-B (MAO-B) is also elevated in reactive astrocytes observed using 18F-SMBT-1 PET in AD. OBJECTIVE The objective of this study was to evaluate the association between the abovementioned astrocyte reactivity biomarkers. METHODS Plasma GFAP and Aβ were measured using the Simoa ® platform in participants who underwent brain 18F-SMBT-1 and Aβ-PET imaging, comprising 54 healthy control (13 Aβ-PET+ and 41 Aβ-PET-), 11 mild cognitively impaired (3 Aβ-PET+ and 8 Aβ-PET-) and 6 probable AD (5 Aβ-PET+ and 1 Aβ-PET-) individuals. Linear regressions were used to assess associations of interest. RESULTS Plasma GFAP was associated with 18F-SMBT-1 signal in brain regions prone to early Aβ deposition in AD, such as the supramarginal gyrus (SG), posterior cingulate (PC), lateral temporal (LT) and lateral occipital cortex (LO). After adjusting for age, sex, APOE ɛ4 genotype, and soluble Aβ (plasma Aβ 42/40 ratio), plasma GFAP was associated with 18F-SMBT-1 signal in the SG, PC, LT, LO, and superior parietal cortex (SP). On adjusting for age, sex, APOE ɛ4 genotype and insoluble Aβ (Aβ-PET), plasma GFAP was associated with 18F-SMBT-1 signal in the SG. CONCLUSION There is an association between plasma GFAP and regional 18F-SMBT-1 PET, and this association appears to be dependent on brain Aβ load.
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Affiliation(s)
- Pratishtha Chatterjee
- Macquarie Medical School, Macquarie University, North Ryde, New South Wales, Australia.,School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
| | - Vincent Doré
- The Australian eHealth Research Centre, CSIRO, Brisbane, Queensland, Australia.,Department of Molecular Imaging & Therapy, Austin Health, Heidelberg, Victoria, Australia
| | - Steve Pedrini
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia.,Australian Alzheimer's Research Foundation, Sarich Neuroscience Research Institute, Nedlands, Western Australia, Australia
| | - Natasha Krishnadas
- Department of Molecular Imaging & Therapy, Austin Health, Heidelberg, Victoria, Australia.,The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Rohith Thota
- Macquarie Medical School, Macquarie University, North Ryde, New South Wales, Australia.,School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, University of Newcastle, Newcastle, New South Wales, Australia
| | - Pierrick Bourgeat
- Health and Biosecurity Flagship, The Australian eHealth Research Centre, Queensland, Australia
| | - Milos D Ikonomovic
- Department of Neurology, University of Pittsburgh, Pennsylvania, PA, USA.,Geriatric Research Education and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, PA, USA
| | - Stephanie R Rainey-Smith
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia.,Centre for Healthy Ageing, Health Futures Institute, Murdoch University, Murdoch, Western Australia, Australia.,Australian Alzheimer's Research Foundation, Sarich Neuroscience Research Institute, Nedlands, Western Australia, Australia.,School of Psychological Science, University of Western Australia, Crawley, Western Australia, Australia
| | - Samantha C Burnham
- Health and Biosecurity Flagship, The Australian eHealth Research Centre, Queensland, Australia
| | - Christopher Fowler
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Kevin Taddei
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia.,Australian Alzheimer's Research Foundation, Sarich Neuroscience Research Institute, Nedlands, Western Australia, Australia
| | - Rachel Mulligan
- Department of Molecular Imaging & Therapy, Austin Health, Heidelberg, Victoria, Australia
| | - David Ames
- National Ageing Research Institute, Parkville, Victoria, Australia.,Academic Unit for Psychiatry of Old Age, University of Melbourne, Melbourne, Victoria, Australia
| | - Colin L Masters
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Jürgen Fripp
- The Australian eHealth Research Centre, CSIRO, Brisbane, Queensland, Australia
| | - Christopher C Rowe
- Department of Molecular Imaging & Therapy, Austin Health, Heidelberg, Victoria, Australia.,The Florey Department of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Ralph N Martins
- Macquarie Medical School, Macquarie University, North Ryde, New South Wales, Australia.,School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia.,Australian Alzheimer's Research Foundation, Sarich Neuroscience Research Institute, Nedlands, Western Australia, Australia.,School of Psychiatry and Clinical Neurosciences, University of Western Australia, Crawley, Western Australia, Australia
| | - Victor L Villemagne
- Department of Molecular Imaging & Therapy, Austin Health, Heidelberg, Victoria, Australia.,Department of Psychiatry, University of Pittsburgh, Pennsylvania, PA, USA
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12
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Youn YC, Kim HR, Shin HW, Jeong HB, Han SW, Pyun JM, Ryoo N, Park YH, Kim S. Prediction of amyloid PET positivity via machine learning algorithms trained with EDTA-based blood amyloid-β oligomerization data. BMC Med Inform Decis Mak 2022; 22:286. [DOI: 10.1186/s12911-022-02024-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 10/18/2022] [Indexed: 11/09/2022] Open
Abstract
Abstract
Background
The tendency of amyloid-β to form oligomers in the blood as measured with Multimer Detection System-Oligomeric Amyloid-β (MDS-OAβ) is a valuable biomarker for Alzheimer’s disease and has been verified with heparin-based plasma. The objective of this study was to evaluate the performance of ethylenediaminetetraacetic acid (EDTA)-based MDS-OAβ and to develop machine learning algorithms to predict amyloid positron emission tomography (PET) positivity.
Methods
The performance of EDTA-based MDS-OAβ in predicting PET positivity was evaluated in 312 individuals with various machine learning models. The models with various combinations of features (i.e., MDS-OAβ level, age, apolipoprotein E4 alleles, and Mini-Mental Status Examination [MMSE] score) were tested 50 times on each dataset.
Results
The random forest model best-predicted amyloid PET positivity based on MDS-OAβ combined with other features with an accuracy of 77.14 ± 4.21% and an F1 of 85.44 ± 3.10%. The order of significance of predictive features was MDS-OAβ, MMSE, Age, and APOE. The Support Vector Machine using the MDS-OAβ value only showed an accuracy of 71.09 ± 3.27% and F−1 value of 80.18 ± 2.70%.
Conclusions
The Random Forest model using EDTA-based MDS-OAβ combined with the MMSE and apolipoprotein E status can be used to prescreen for amyloid PET positivity.
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13
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Chang J, Arai T, Kuramochi M, Inamasu R, Lee Z, Ohkubo T, Mio K, Sasaki YC. Dynamic observations of various oligomers in amyloid β isoforms using laboratory diffracted X-ray blinking. Biochem Biophys Rep 2022; 31:101298. [PMID: 35794960 PMCID: PMC9251562 DOI: 10.1016/j.bbrep.2022.101298] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 06/08/2022] [Accepted: 06/08/2022] [Indexed: 11/02/2022] Open
Abstract
Acceleration of societal ageing has increased the global incidence of geriatric diseases such as Alzheimer's disease (AD), and the demands for proper diagnosis and monitoring of those diseases are also increasing daily. We utilized diffracted X-ray blinking (DXB) for amyloid β (Aβ) isoforms, which are thought to be closely related to AD, to discriminate among the dynamics of individual particles in early and long-term oligomerisation and aggregation inhibiting environments. Among the various Aβ isoforms, the dynamics of Aβ (1–42), which is known to be the most toxic form, were the slowest (the dynamics were lower by 78% com-pared with short-term incubation), and the dynamics were restored (the dynamics increased by 105% compared with normal aggregation) in an environment that suppressed oligomerisation of Aβ (1–42). It has been confirmed that the use of DXB allows measurements of dynamics related to the functional states of the target molecules. The Dynamics of Amyloid β in early oligomerisation was measured by Diffracted X-ray Blinking, pico-meter scale method. The dynamics of Amyloid β was shrinked in more oligomerisation. The dynamics of Amyloid β (1–42) on Pd surface were recovered by 105% compared with that of normal oligomerisation. Dynamical measurement captured the recovery of Amyloid β (1–42); it is important to measure the dynamics of the oligomer.
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14
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Gong X, Zhang H, Liu X, Liu Y, Liu J, Fapohunda FO, Lü P, Wang K, Tang M. Is liquid biopsy mature enough for the diagnosis of Alzheimer's disease? Front Aging Neurosci 2022; 14:977999. [PMID: 35992602 PMCID: PMC9389010 DOI: 10.3389/fnagi.2022.977999] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Accepted: 07/18/2022] [Indexed: 01/10/2023] Open
Abstract
The preclinical diagnosis and clinical practice for Alzheimer's disease (AD) based on liquid biopsy have made great progress in recent years. As liquid biopsy is a fast, low-cost, and easy way to get the phase of AD, continual efforts from intense multidisciplinary studies have been made to move the research tools to routine clinical diagnostics. On one hand, technological breakthroughs have brought new detection methods to the outputs of liquid biopsy to stratify AD cases, resulting in higher accuracy and efficiency of diagnosis. On the other hand, diversiform biofluid biomarkers derived from cerebrospinal fluid (CSF), blood, urine, Saliva, and exosome were screened out and biologically verified. As a result, more detailed knowledge about the molecular pathogenesis of AD was discovered and elucidated. However, to date, how to weigh the reports derived from liquid biopsy for preclinical AD diagnosis is an ongoing question. In this review, we briefly introduce liquid biopsy and the role it plays in research and clinical practice. Then, we summarize the established fluid-based assays of the current state for AD diagnostic such as ELISA, single-molecule array (Simoa), Immunoprecipitation-Mass Spectrometry (IP-MS), liquid chromatography-MS, immunomagnetic reduction (IMR), multimer detection system (MDS). In addition, we give an updated list of fluid biomarkers in the AD research field. Lastly, the current outstanding challenges and the feasibility to use a stand-alone biomarker in the joint diagnostic strategy are discussed.
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Affiliation(s)
- Xun Gong
- Department of Rheumatology and Immunology, Affiliated Hospital of Jiangsu University, Zhenjiang, China
| | - Hantao Zhang
- School of Life Sciences, Jiangsu University, Zhenjiang, China
| | - Xiaoyan Liu
- School of Life Sciences, Jiangsu University, Zhenjiang, China
| | - Yi Liu
- School of Life Sciences, Jiangsu University, Zhenjiang, China
- Institute of Animal Husbandry, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Junlin Liu
- School of Life Sciences, Jiangsu University, Zhenjiang, China
| | | | - Peng Lü
- School of Life Sciences, Jiangsu University, Zhenjiang, China
| | - Kun Wang
- Children’s Center, The Affiliated Taian City Central Hospital of Qingdao University, Taian, China
| | - Min Tang
- School of Life Sciences, Jiangsu University, Zhenjiang, China
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15
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Sandhu GK, Zailan FZ, Vipin A, Ann SS, Kumar D, Ng KP, Kandiah N. Correlation Between Plasma Oligomeric Amyloid-β and Performance on the Language Neutral Visual Cognitive Assessment Test in a Southeast Asian Population. J Alzheimers Dis 2022; 89:25-29. [DOI: 10.3233/jad-220484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Oligomeric amyloid-β (OAβ), an upstream driver of Alzheimer’s disease (AD) neuropathology, correlates with poor cognitive performance and brain volume reduction. Its effect on cognitive performance measured by the language neutral Visual Cognitive Assessment Test (VCAT) remains to be evaluated. We studied the correlation of plasma OAβ with VCAT scores and grey matter volume (GMV) in a Southeast Asian cohort with mild cognitive impairment. Higher plasma OAβ significantly correlated with lower; cognitive scores (VCAT, Mini-Mental State Examination) and GMV/intracranial volume ratio. Such findings reveal the clinical utility of plasma OAβ as a promising biomarker and support validation through longitudinal studies.
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Affiliation(s)
| | | | | | - Soo See Ann
- Lee Kong Chian School of Medicine, Singapore
| | - Dilip Kumar
- Lee Kong Chian School of Medicine, Singapore
| | - Kok Pin Ng
- Lee Kong Chian School of Medicine, Singapore
- National Neuroscience Institute, Singapore
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16
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Park SA, Jang YJ, Kim MK, Lee SM, Moon SY. Promising Blood Biomarkers for Clinical Use in Alzheimer's Disease: A Focused Update. J Clin Neurol 2022; 18:401-409. [PMID: 35796265 PMCID: PMC9262460 DOI: 10.3988/jcn.2022.18.4.401] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 04/29/2022] [Accepted: 04/29/2022] [Indexed: 12/11/2022] Open
Abstract
Alzheimer’s disease (AD) is the most-common cause of neurodegenerative dementia, and it is characterized by abnormal amyloid and tau accumulation, which indicates neurodegeneration. AD has mostly been diagnosed clinically. However, ligand-specific positron emission tomography (PET) imaging, such as amyloid PET, and cerebrospinal fluid (CSF) biomarkers are needed to accurately diagnose AD, since they supplement the shortcomings of clinical diagnoses. Using biomarkers that represent the pathology of AD is essential (particularly when disease-modifying treatment is available) to identify the corresponding pathology of targeted therapy and for monitoring the treatment response. Although imaging and CSF biomarkers are useful, their widespread use is restricted by their high cost and the discomfort during the lumbar puncture, respectively. Recent advances in AD blood biomarkers shed light on their future use for clinical purposes. The amyloid β (Aβ)42/Aβ40 ratio and the concentrations of phosphorylated tau at threonine 181 and at threonine 217, and of neurofilament light in the blood were found to represent the pathology of Aβ, tau, and neurodegeneration in the brain when using automatic electrochemiluminescence technologies, single-molecule arrays, immunoprecipitation coupled with mass spectrometry, etc. These blood biomarkers are imminently expected to be incorporated into clinical practice to predict, diagnose, and determine the stage of AD. In this review we focus on advancements in the measurement technologies for blood biomarkers and the promising biomarkers that are approaching clinical application. We also discuss the current limitations, the needed further investigations, and the perspectives on their use.
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Affiliation(s)
- Sun Ah Park
- Lab for Neurodegenerative Dementia, Department of Anatomy, Ajou University School of Medicine, Suwon, Korea.,Department of Neurology, Ajou University School of Medicine, Suwon, Korea.,Neuroscience Graduate Program, Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Korea.
| | - Yu Jung Jang
- Lab for Neurodegenerative Dementia, Department of Anatomy, Ajou University School of Medicine, Suwon, Korea.,Neuroscience Graduate Program, Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Korea
| | - Min Kyoung Kim
- Lab for Neurodegenerative Dementia, Department of Anatomy, Ajou University School of Medicine, Suwon, Korea.,Neuroscience Graduate Program, Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Korea
| | - Sun Min Lee
- Department of Neurology, Ajou University School of Medicine, Suwon, Korea
| | - So Young Moon
- Department of Neurology, Ajou University School of Medicine, Suwon, Korea
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17
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Multimer Detection System-Oligomerized Amyloid Beta (MDS-OA β): A Plasma-Based Biomarker Differentiates Alzheimer's Disease from Other Etiologies of Dementia. Int J Alzheimers Dis 2022; 2022:9960832. [PMID: 35547155 PMCID: PMC9085320 DOI: 10.1155/2022/9960832] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 04/12/2022] [Indexed: 01/10/2023] Open
Abstract
With emerging amyloid therapies, documentation of the patient's amyloid status to confirm the etiology of a clinical diagnosis is warranted prior to instituting amyloid-based therapy. The Multimer Detection System-Oligomeric Amyloid-β (MDS-OAβ) is a noninvasive blood-based biomarker utilized to measure Aβ oligomerization tendency. We determined the difference in MDS-OAβ ratio across the groups: (a) no cognitive impairment or subjective cognitive impairment (NCI/SCI), (b) Alzheimer's disease (AD), (c) non-AD, and (d) mixed Alzheimer's disease-Vascular dementia (AD-VaD). MDS-OAβ level was not significantly different between AD and mixed AD-VaD, but both groups were significantly different from the NCI/SCI and from the non-AD group. An MDS-OAβ level of >1 could potentially indicate clinical variants of AD or mixed pathology (AD-VaD).
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18
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Mankhong S, Kim S, Lee S, Kwak HB, Park DH, Joa KL, Kang JH. Development of Alzheimer’s Disease Biomarkers: From CSF- to Blood-Based Biomarkers. Biomedicines 2022; 10:biomedicines10040850. [PMID: 35453600 PMCID: PMC9025524 DOI: 10.3390/biomedicines10040850] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 03/25/2022] [Accepted: 03/31/2022] [Indexed: 02/05/2023] Open
Abstract
In the 115 years since the discovery of Alzheimer’s disease (AD), our knowledge, diagnosis, and therapeutics have significantly improved. Biomarkers are the primary tools for clinical research, diagnostics, and therapeutic monitoring in clinical trials. They provide much insightful information, and while they are not clinically used routinely, they help us to understand the mechanisms of this disease. This review charts the journey of AD biomarker discovery and development from cerebrospinal fluid (CSF) amyloid-beta 1-42 (Aβ42), total tau (T-tau), and phosphorylated tau (p-tau) biomarkers and imaging technologies to the next generation of biomarkers. We also discuss advanced high-sensitivity assay platforms for CSF Aβ42, T-tau, p-tau, and blood analysis. The recently proposed Aβ deposition/tau biomarker/neurodegeneration or neuronal injury (ATN) scheme might facilitate the definition of the biological status underpinning AD and offer a common language among researchers across biochemical biomarkers and imaging. Moreover, we highlight blood-based biomarkers for AD that offer a scalable alternative to CSF biomarkers through cost-saving and reduced invasiveness, and may provide an understanding of disease initiation and development. We discuss different groups of blood-based biomarker candidates, their advantages and limitations, and paths forward, from identification and analysis to clinical validation. The development of valid blood-based biomarkers may facilitate the implementation of future AD therapeutics and diagnostics.
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Affiliation(s)
- Sakulrat Mankhong
- Department of Pharmacology, Research Center for Controlling Intercellular Communication, College of Medicine, Inha University, Incheon 22212, Korea; (S.M.); (S.K.)
- Program in Biomedical Science and Engineering, Inha University, Incheon 22212, Korea; (S.L.); (H.-B.K.); (D.-H.P.)
| | - Sujin Kim
- Department of Pharmacology, Research Center for Controlling Intercellular Communication, College of Medicine, Inha University, Incheon 22212, Korea; (S.M.); (S.K.)
| | - Seongju Lee
- Program in Biomedical Science and Engineering, Inha University, Incheon 22212, Korea; (S.L.); (H.-B.K.); (D.-H.P.)
- Department of Anatomy, College of Medicine, Inha University, Incheon 22212, Korea
| | - Hyo-Bum Kwak
- Program in Biomedical Science and Engineering, Inha University, Incheon 22212, Korea; (S.L.); (H.-B.K.); (D.-H.P.)
- Department of Kinesiology, Inha University, Incheon 22212, Korea
| | - Dong-Ho Park
- Program in Biomedical Science and Engineering, Inha University, Incheon 22212, Korea; (S.L.); (H.-B.K.); (D.-H.P.)
- Department of Kinesiology, Inha University, Incheon 22212, Korea
| | - Kyung-Lim Joa
- Department of Physical & Rehabilitation Medicine, College of Medicine, Inha University, Incheon 22212, Korea;
| | - Ju-Hee Kang
- Department of Pharmacology, Research Center for Controlling Intercellular Communication, College of Medicine, Inha University, Incheon 22212, Korea; (S.M.); (S.K.)
- Program in Biomedical Science and Engineering, Inha University, Incheon 22212, Korea; (S.L.); (H.-B.K.); (D.-H.P.)
- Correspondence: ; Tel.: +82-32-860-9872
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Álvarez-Sánchez L, Peña-Bautista C, Baquero M, Cháfer-Pericás C. Novel Ultrasensitive Detection Technologies for the Identification of Early and Minimally Invasive Alzheimer's Disease Blood Biomarkers. J Alzheimers Dis 2022; 86:1337-1369. [PMID: 35213367 DOI: 10.3233/jad-215093] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
BACKGROUND Single molecule array (SIMOA) and other ultrasensitive detection technologies have allowed the determination of blood-based biomarkers of Alzheimer's disease (AD) for diagnosis and monitoring, thereby opening up a promising field of research. OBJECTIVE To review the published bibliography on plasma biomarkers in AD using new ultrasensitive techniques. METHODS A systematic review of the PubMed database was carried out to identify reports on the use of blood-based ultrasensitive technology to identify biomarkers for AD. RESULTS Based on this search, 86 works were included and classified according to the biomarker determined. First, plasma amyloid-β showed satisfactory accuracy as an AD biomarker in patients with a high risk of developing dementia. Second, plasma t-Tau displayed good sensitivity in detecting different neurodegenerative diseases. Third, plasma p-Tau was highly specific for AD. Fourth, plasma NfL was highly sensitive for distinguishing between patients with neurodegenerative diseases and healthy controls. In general, the simultaneous determination of several biomarkers facilitated greater accuracy in diagnosing AD (Aβ42/Aβ40, p-Tau181/217). CONCLUSION The recent development of ultrasensitive technology allows the determination of blood-based biomarkers with high sensitivity, thus facilitating the early detection of AD through the analysis of easily obtained biological samples. In short, as a result of this knowledge, pre-symptomatic and early AD diagnosis may be possible, and the recruitment process for future clinical trials could be more precise. However, further studies are necessary to standardize levels of blood-based biomarkers in the general population and thus achieve reproducible results among different laboratories.
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Affiliation(s)
| | - Carmen Peña-Bautista
- Alzheimer Disease Research Group, Health Research Institute La Fe, Valencia, Spain
| | - Miguel Baquero
- Division of Neurology, University and Polytechnic Hospital La Fe, Valencia, Spain
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20
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Zhang L, Du X, Su Y, Niu S, Li Y, Liang X, Luo H. Quantitative assessment of AD markers using naked eyes: point-of-care testing with paper-based lateral flow immunoassay. J Nanobiotechnology 2021; 19:366. [PMID: 34789291 PMCID: PMC8597216 DOI: 10.1186/s12951-021-01111-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 11/02/2021] [Indexed: 01/01/2023] Open
Abstract
Aβ42 is one of the most extensively studied blood and Cerebrospinal fluid (CSF) biomarkers for the diagnosis of symptomatic and prodromal Alzheimer's disease (AD). Because of the heterogeneity and transient nature of Aβ42 oligomers (Aβ42Os), the development of technologies for dynamically detecting changes in the blood or CSF levels of Aβ42 monomers (Aβ42Ms) and Aβ42Os is essential for the accurate diagnosis of AD. The currently commonly used Aβ42 ELISA test kits usually mis-detected the elevated Aβ42Os, leading to incomplete analysis and underestimation of soluble Aβ42, resulting in a comprised performance in AD diagnosis. Herein, we developed a dual-target lateral flow immunoassay (dLFI) using anti-Aβ42 monoclonal antibodies 1F12 and 2C6 for the rapid and point-of-care detection of Aβ42Ms and Aβ42Os in blood samples within 30 min for AD diagnosis. By naked eye observation, the visual detection limit of Aβ42Ms or/and Aβ42Os in dLFI was 154 pg/mL. The test results for dLFI were similar to those observed in the enzyme-linked immunosorbent assay (ELISA). Therefore, this paper-based dLFI provides a practical and rapid method for the on-site detection of two biomarkers in blood or CSF samples without the need for additional expertise or equipment.
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Affiliation(s)
- Liding Zhang
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
- MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, China
| | - Xuewei Du
- Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan, China
| | - Ying Su
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Shiqi Niu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
- MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, China
| | - Yanqing Li
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
- MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaohan Liang
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
- MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, China
| | - Haiming Luo
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China.
- MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, China.
- , Wuhan, China.
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