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Mielke MM, Anderson M, Ashford JW, Jeromin A, Lin PJ, Rosen A, Tyrone J, Vandevrede L, Willis DR, Hansson O, Khachaturian AS, Schindler SE, Weiss J, Batrla R, Bozeat S, Dwyer JR, Holzapfel D, Jones DR, Murray JF, Partrick KA, Scholler E, Vradenburg G, Young D, Braunstein JB, Burnham SC, de Oliveira FF, Hu YH, Mattke S, Merali Z, Monane M, Sabbagh MN, Shobin E, Weiner M, Udeh-Momoh CT. Recommendations for clinical implementation of blood-based biomarkers for Alzheimer's disease. Alzheimers Dement 2024. [PMID: 39351838 DOI: 10.1002/alz.14184] [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: 04/25/2024] [Revised: 07/01/2024] [Accepted: 07/02/2024] [Indexed: 10/03/2024]
Abstract
Blood-based biomarkers (BBM) for Alzheimer's disease (AD) are being increasingly used in clinical practice to support an AD diagnosis. In contrast to traditional diagnostic modalities, such as amyloid positron emission tomography and cerebrospinal fluid biomarkers, BBMs offer a more accessible and lower cost alternative for AD biomarker testing. Their unique scalability addresses the anticipated surge in demand for biomarker testing with the emergence of disease-modifying treatments (DMTs) that require confirmation of amyloid pathology. To facilitate the uptake of BBMs in clinical practice, The Global CEO Initiative on Alzheimer's Disease convened a BBM Workgroup to provide recommendations for two clinical implementational pathways for BBMs: one for current use for triaging and another for future use to confirm amyloid pathology. These pathways provide a standardized diagnostic approach with guidance on interpreting BBM test results. Integrating BBMs into clinical practice will simplify the diagnostic process and facilitate timely access to DMTs for eligible patients.
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Affiliation(s)
- Michelle M Mielke
- Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, USA
| | | | - J Wesson Ashford
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, USA
- War Related Illness and Injury Study Center, VA Palo Alto Health Care System, Palo Alto, California, USA
| | | | - Pei-Jung Lin
- Center for the Evaluation of Value and Risk in Health Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, Massachusetts, USA
| | - Allyson Rosen
- Palo Alto Veterans Affairs Medical Center, Palo Alto, California, USA
- Stanford University School of Medicine, Stanford, California, USA
| | | | - Lawren Vandevrede
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, California, USA
| | - Deanna R Willis
- Department of Family Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | | | - Suzanne E Schindler
- Department of Neurology, Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Joan Weiss
- US Department of Health and Human Services, Health Resources and Services Administration, Bureau of Health Workforce, Rockville, Maryland, USA
| | | | | | - John R Dwyer
- Global Alzheimer's Platform Foundation, Washington, District of Columbia, USA
| | - Drew Holzapfel
- The Global CEO Initiative on Alzheimer's Disease, Philadelphia, Pennsylvania, USA
- Davos Alzheimer's Collaborative, Philadelphia, Pennsylvania, USA
| | | | - James F Murray
- Davos Alzheimer's Collaborative, Philadelphia, Pennsylvania, USA
| | - Katherine A Partrick
- The Global CEO Initiative on Alzheimer's Disease, Philadelphia, Pennsylvania, USA
| | - Emily Scholler
- The Global CEO Initiative on Alzheimer's Disease, Philadelphia, Pennsylvania, USA
- Davos Alzheimer's Collaborative, Philadelphia, Pennsylvania, USA
| | - George Vradenburg
- The Global CEO Initiative on Alzheimer's Disease, Philadelphia, Pennsylvania, USA
- Davos Alzheimer's Collaborative, Philadelphia, Pennsylvania, USA
| | | | | | | | | | | | - Soeren Mattke
- The USC Brain Health Observatory, University of Southern California, Los Angeles, California, USA
| | - Zul Merali
- Brain and Mind Institute, Aga Khan University, Nairobi, Kenya
| | | | | | | | - Michael Weiner
- Departments of Radiology and Biomedical Imaging, Medicine, Psychiatry, and Neurology, University of California, San Francisco, California, USA
| | - Chinedu T Udeh-Momoh
- Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, USA
- Brain and Mind Institute, Aga Khan University, Nairobi, Kenya
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Park IK, Choi YS, Jo SY. Development of quantitative detection methods for four Alzheimer's disease specific biomarker panels using electrochemical immunosensors based on enzyme immunoassay. ANAL SCI 2024; 40:1809-1821. [PMID: 38884905 DOI: 10.1007/s44211-024-00614-7] [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: 03/04/2024] [Accepted: 06/02/2024] [Indexed: 06/18/2024]
Abstract
Accurate and timely diagnosis of Alzheimer's disease (AD) is necessary to maximize the effectiveness of treatment and using biomarkers for diagnosis is attracting attention as a minimally invasive method with few side effects. Electrochemical immunosensor (EI) is a method that is in the spotlight in the medical and bioanalytical fields due to its portability and field usability. Here, we quantified four AD specific biomarkers using EIs based on enzyme immunoassay. We selected and developed quantitative methods for the biomarkers using screen-printed gold electrodes. For three biomarkers, quantification was performed using competition immunoassays in which antigen-antibody premix mixtures were applied to antigen-immobilized electrodes and the limit of detection (LOD) values were secured, 1.20 ng/ml, 1.30 ng/ml, and 1.74 ng/ml, respectively. For the other, a sandwich immunoassay using antibody pair was selected for quantification and LOD was also achieved as 0.077 ng/ml. All four biomarkers in buffer samples were successfully quantified and reliable R2 values were obtained, and reliable calibration curves were secured for three biomarkers in spiked human serum samples. The immunosensors developed and will be optimized are expected to be used in various fields, including detection of biomarkers for not only AD but also related diseases.
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Affiliation(s)
- Il Kyu Park
- JHK Medical Science Inc., Yuseong-gu, Daejeon, 34013, Republic of Korea
| | - Young Sun Choi
- JHK Medical Science Inc., Yuseong-gu, Daejeon, 34013, Republic of Korea
| | - Seo Yun Jo
- JHK Medical Science Inc., Yuseong-gu, Daejeon, 34013, Republic of Korea.
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3
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Ju Y, Li S, Kong X, Zhao Q. EBF1 is a potential biomarker for predicting progression from mild cognitive impairment to Alzheimer's disease: an in silico study. Front Aging Neurosci 2024; 16:1397696. [PMID: 39347016 PMCID: PMC11427346 DOI: 10.3389/fnagi.2024.1397696] [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: 04/07/2024] [Accepted: 08/19/2024] [Indexed: 10/01/2024] Open
Abstract
Introduction The prediction of progression from mild cognitive impairment (MCI) to Alzheimer's disease (AD) is an important clinical challenge. This study aimed to identify the independent risk factors and develop a nomogram model that can predict progression from MCI to AD. Methods Data of 141 patients with MCI were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. We set a follow-up time of 72 months and defined patients as stable MCI (sMCI) or progressive MCI (pMCI) according to whether or not the progression of MCI to AD occurred. We identified and screened independent risk factors by utilizing weighted gene co-expression network analysis (WGCNA), where we obtained 14,893 genes after data preprocessing and selected the soft threshold β = 7 at an R 2 of 0.85 to achieve a scale-free network. A total of 14 modules were discovered, with the midnightblue module having a strong association with the prognosis of MCI. Using machine learning strategies, which included the least absolute selection and shrinkage operator and support vector machine-recursive feature elimination; and the Cox proportional-hazards model, which included univariate and multivariable analyses, we identified and screened independent risk factors. Subsequently, we developed a nomogram model for predicting the progression from MCI to AD. The performance of our nomogram was evaluated by the C-index, calibration curve, and decision curve analysis (DCA). Bioinformatics analysis and immune infiltration analysis were conducted to clarify the function of early B cell factor 1 (EBF1). Results First, the results showed that 40 differentially expressed genes (DEGs) related to the prognosis of MCI were generated by weighted gene co-expression network analysis. Second, five hub variables were obtained through the abovementioned machine learning strategies. Third, a low Montreal Cognitive Assessment (MoCA) score [hazard ratio (HR): 4.258, 95% confidence interval (CI): 1.994-9.091] and low EBF1 expression (hazard ratio: 3.454, 95% confidence interval: 1.813-6.579) were identified as the independent risk factors through the Cox proportional-hazards regression analysis. Finally, we developed a nomogram model including the MoCA score, EBF1, and potential confounders (age and gender). By evaluating our nomogram model and validating it in both internal and external validation sets, we demonstrated that our nomogram model exhibits excellent predictive performance. Through the Gene Ontology (GO) enrichment analysis, Kyoto Encyclopedia of Genes Genomes (KEGG) functional enrichment analysis, and immune infiltration analysis, we found that the role of EBF1 in MCI was closely related to B cells. Conclusion EBF1, as a B cell-specific transcription factor, may be a key target for predicting progression from MCI to AD. Our nomogram model was able to provide personalized risk factors for the progression from MCI to AD after evaluation and validation.
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Affiliation(s)
- Yanxiu Ju
- Department of Neurology, China-Japan Union Hospital of Jilin University, Changchun, China
- Engineering Laboratory of Memory and Cognitive Impairment Disease of Jilin Province, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Songtao Li
- Department of Neurology, China-Japan Union Hospital of Jilin University, Changchun, China
- Engineering Laboratory of Memory and Cognitive Impairment Disease of Jilin Province, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Xiangyi Kong
- Key Laboratory of Lymphatic Surgery of Jilin Province, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Qing Zhao
- Department of Neurology, China-Japan Union Hospital of Jilin University, Changchun, China
- Engineering Laboratory of Memory and Cognitive Impairment Disease of Jilin Province, China-Japan Union Hospital of Jilin University, Changchun, China
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Hu Y, Cho M, Sachdev P, Dage J, Hendrix S, Hansson O, Bateman RJ, Hampel H. Fluid biomarkers in the context of amyloid-targeting disease-modifying treatments in Alzheimer's disease. MED 2024:S2666-6340(24)00335-0. [PMID: 39255800 DOI: 10.1016/j.medj.2024.08.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 07/26/2024] [Accepted: 08/16/2024] [Indexed: 09/12/2024]
Abstract
Clinical management and therapeutics development for Alzheimer's disease (AD) have entered a new era, with recent approvals of monoclonal antibody therapies targeting the underlying pathophysiology of the disease and modifying its trajectory. Imaging and fluid biomarkers are becoming increasingly important in the clinical development of AD therapeutics. This review focuses on the evidence of fluid biomarkers from recent amyloid-β-targeting clinical trials, summarizing biomarker data across 12 trials. It further proposes a simple framework to put biomarker guidance in the context of amyloid-pathway-targeted disease modification, delineates factors that impact biomarker data in clinical trials, and highlights knowledge gaps and future directions. Increased knowledge and data on biomarkers in the context of disease progression and disease modification will help to better design future AD trials and guide the clinical management of patients on AD-modifying therapies, bringing us closer to the implementation of precision medicine in AD.
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Affiliation(s)
- Yan Hu
- Eisai Inc., Nutley, NJ, USA
| | | | | | - Jeffrey Dage
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA; Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA
| | | | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden; Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Randall J Bateman
- Department of Neurology, Washington University of St. Louis, St. Louis, MO, USA; The Tracy Family SILQ Center, Washington University School of Medicine, Saint Louis, MO, USA
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5
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Kamatham PT, Shukla R, Khatri DK, Vora LK. Pathogenesis, diagnostics, and therapeutics for Alzheimer's disease: Breaking the memory barrier. Ageing Res Rev 2024; 101:102481. [PMID: 39236855 DOI: 10.1016/j.arr.2024.102481] [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: 05/06/2024] [Revised: 06/28/2024] [Accepted: 08/29/2024] [Indexed: 09/07/2024]
Abstract
Alzheimer's disease (AD) is the most common cause of dementia and accounts for 60-70 % of all cases. It affects millions of people worldwide. AD poses a substantial economic burden on societies and healthcare systems. AD is a progressive neurodegenerative disorder characterized by cognitive decline, memory loss, and impaired daily functioning. As the prevalence of AD continues to increase, understanding its pathogenesis, improving diagnostic methods, and developing effective therapeutics have become paramount. This comprehensive review delves into the intricate mechanisms underlying AD, explores the current state of diagnostic techniques, and examines emerging therapeutic strategies. By revealing the complexities of AD, this review aims to contribute to the growing body of knowledge surrounding this devastating disease.
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Affiliation(s)
- Pushpa Tryphena Kamatham
- Molecular and Cellular Neuroscience Laboratory, Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, Telangana 500037, India
| | - Rashi Shukla
- Molecular and Cellular Neuroscience Laboratory, Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, Telangana 500037, India
| | - Dharmendra Kumar Khatri
- Department of Pharmacology, Nims Institute of Pharmacy, Nims University Rajasthan, Jaipur, India.
| | - Lalitkumar K Vora
- School of Pharmacy, Medical Biology Centre, Queen's University Belfast, 97 Lisburn Road, Belfast, Northern Ireland BT9 7BL, UK.
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Karikari T, Chen Y, Zeng X, Olvera-Rojas M, Sehrawat A, Lafferty T, Pascoal T, Villemagne V, Solis-Urra P, Triviño-Ibañez E, Gómez-Rí M, Cohen A, Ikonomovic M, Esteban-Cornejo I, Erickson K, Lopez O, Yates N. A streamlined, resource-efficient immunoprecipitation-mass spectrometry method for quantifying plasma amyloid-β biomarkers in Alzheimer's disease. RESEARCH SQUARE 2024:rs.3.rs-4947448. [PMID: 39281858 PMCID: PMC11398558 DOI: 10.21203/rs.3.rs-4947448/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/18/2024]
Abstract
High-performance, resource-efficient methods for plasma amyloid-β (Aβ) quantification in Alzheimer's disease are lacking; existing mass spectrometry-based assays are resource- and time-intensive. We developed a streamlined mass spectrometry method with a single immunoprecipitation step, an optimized buffer system, and ≤75% less antibody requirement. Analytical and clinical performances were compared with an in-house reproduced version of a well-known two-step assay. The streamlined assay showed high dilution linearity (r2>0.99) and precision (< 10% coefficient of variation), low quantification limits (Aβ1-40: 12.5 pg/ml; Aβ1-42: 3.125 pg/ml), and high signal correlation (r2~0.7) with the two-step immunoprecipitation assay. The novel single-step assay showed more efficient recovery of Aβ peptides via fewer immunoprecipitation steps, with significantly higher signal-to-noise ratios, even at plasma sample volumes down to 50 pl. Both assays had equivalent performances in distinguishing non-elevated vs. elevated brain Aβ-PET individuals. The new method enables simplified yet robust evaluation of plasma Aβ biomarkers in Alzheimer's disease.
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7
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Brier MR, Schindler SE, Salter A, Perantie D, Shelley N, Judge B, Keefe S, Kirmess KM, Verghese PB, Yarasheski KE, Venkatesh V, Raji C, Gordon BA, Bateman RJ, Morris JC, Naismith RT, Holtzman DM, Benzinger TL, Cross AH. Unexpected Low Rate of Amyloid-β Pathology in Multiple Sclerosis Patients. Ann Neurol 2024; 96:453-459. [PMID: 38963256 PMCID: PMC11324391 DOI: 10.1002/ana.27027] [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: 04/08/2024] [Revised: 05/29/2024] [Accepted: 06/13/2024] [Indexed: 07/05/2024]
Abstract
The life expectancy of people with multiple sclerosis (MS) has increased, yet we have noted that development of a typical Alzheimer disease dementia syndrome is uncommon. We hypothesized that Alzheimer disease pathology is uncommon in MS patients. In 100 MS patients, the rate of amyloid-β plasma biomarker positivity was approximately half the rate in 300 non-MS controls matched on age, sex, apolipoprotein E proteotype, and cognitive status. Interestingly, most MS patients who did have amyloid-β pathology had features atypical for MS at diagnosis. These results support that MS is associated with reduced Alzheimer disease risk, and suggest new avenues of research. ANN NEUROL 2024;96:453-459.
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Affiliation(s)
- Matthew R. Brier
- Department of Neurology, Washington University in St. Louis
- Mallinckrodt Institute of Radiology, Washington University in St. Louis
| | | | - Amber Salter
- Department of Neurology, University of Texas Southwestern Medical Center
| | - Dana Perantie
- Department of Neurology, Washington University in St. Louis
| | - Nicole Shelley
- Department of Neurology, Washington University in St. Louis
| | - Bradley Judge
- Department of Neurology, Washington University in St. Louis
| | - Sarah Keefe
- Mallinckrodt Institute of Radiology, Washington University in St. Louis
| | | | | | | | | | - Cyrus Raji
- Mallinckrodt Institute of Radiology, Washington University in St. Louis
| | - Brian A. Gordon
- Mallinckrodt Institute of Radiology, Washington University in St. Louis
| | | | - John C. Morris
- Department of Neurology, Washington University in St. Louis
| | | | | | | | - Anne H. Cross
- Department of Neurology, Washington University in St. Louis
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Desai U, Gomes DA, Chandler J, Ye W, Daly M, Kirson N, Dennehy EB. Understanding the impact of slowing disease progression for individuals with biomarker-confirmed early symptomatic Alzheimer's disease. Curr Med Res Opin 2024:1-7. [PMID: 39175422 DOI: 10.1080/03007995.2024.2394602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2024] [Revised: 08/13/2024] [Accepted: 08/16/2024] [Indexed: 08/24/2024]
Abstract
Recent advances in development of amyloid-targeting therapies support the potential to slow the rate of progression of Alzheimer's disease. We conducted a narrative review of published evidence identified through a targeted search of the MEDLINE and EMBASE databases (2020-2023), recent presentations at disease-specific conferences, and data updates from cohort studies in Alzheimer's disease to describe the trajectory of the progression of Alzheimer's disease. Our findings enable the interpretation of clinical trial results and the value associated with slowing disease progression across outcomes of relevance to patients, care partners, clinicians, researchers and policymakers. Even at the earliest stages, Alzheimer's disease imposes a substantial burden on individuals, care partners, and healthcare systems. The magnitude of the burden increases with the rate of disease progression and symptom severity, as worsening cognitive decline and physical impairment result in loss of functional independence. Data from cohort studies also indicate that slowing disease progression is associated with decreased likelihood of needing extensive clinical care over at least 5 years, decreased care partner burden, and substantial individual and societal cost savings. Slowed disease progression is of significant benefit to individuals with Alzheimer's disease, their loved ones, and the healthcare system. As clinicians and policymakers devise strategies to improve access to treatment earlier in the disease spectrum, they should carefully weigh the benefits of slowing progression early in the disease (e.g. preservation of cognitive and functional abilities, as well as relative independence) to individuals, their loved ones, and broader society.
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Affiliation(s)
| | | | - Julie Chandler
- Value, Evidence, and Outcomes, Eli Lilly and Company, Indianapolis, IN, USA
| | - Wenyu Ye
- Value, Evidence, and Outcomes, Eli Lilly and Company, Indianapolis, IN, USA
| | | | | | - Ellen B Dennehy
- Value, Evidence, and Outcomes, Eli Lilly and Company, Indianapolis, IN, USA
- Department of Psychological Sciences, Purdue University, West Lafayette, IN, USA
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9
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Hu X, Ma YN, Karako K, Song P, Tang W, Xia Y. Guardians of memory: The urgency of early dementia screening in an aging society. Intractable Rare Dis Res 2024; 13:133-137. [PMID: 39220280 PMCID: PMC11350203 DOI: 10.5582/irdr.2024.01026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Revised: 06/12/2024] [Accepted: 06/16/2024] [Indexed: 09/04/2024] Open
Abstract
The global aging population has led to a significant rise in the prevalence of age-related non-communicable diseases such as dementia and other cognitive disorders. In 2019, there were 57.4 million people with dementia worldwide, and this number is projected to triple by 2050. Intervening in and managing 12 potentially modifiable dementia risk factors can prevent or delay the onset and progression of about 40% of dementia cases. Neuroimaging, biomarkers, and advanced neuropsychological testing offer promising pathways for the early detection of dementia. Emphasis should be placed on educating the public about the importance of brain health and the early signs of cognitive impairment, as well as promoting dementia prevention measures. Adopting a healthy lifestyle - including a balanced diet, regular physical exercise, active social engagement, cognitive activities, and avoiding smoking and excessive alcohol consumption - can help reduce the risk of cognitive decline and prevent cognitive disorders. Government policies on dementia prevention and health care, along with early and regular dementia screening programs, can enhance the early identification and management of individuals at risk. In addition, integrating cognitive health assessments into routine medical check-ups is essential for the early screening and management of dementia.
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Affiliation(s)
- Xiqi Hu
- Department of Neurosurgery, Haikou Affiliated Hospital of Central South University Xiangya School of Medicine, Haikou, China
| | - Ya-nan Ma
- Department of Neurosurgery, Haikou Affiliated Hospital of Central South University Xiangya School of Medicine, Haikou, China
| | - Kenji Karako
- Department of Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Peipei Song
- National Center for Global Health and Medicine, Tokyo, Japan
| | - Wei Tang
- Department of Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- National Center for Global Health and Medicine, Tokyo, Japan
| | - Ying Xia
- Department of Neurosurgery, Haikou Affiliated Hospital of Central South University Xiangya School of Medicine, Haikou, China
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Eastwood SM, Meyer MR, Kirmess KM, Wente-Roth TL, Irvin F, Holubasch MS, Verghese PB, West T, Braunstein JB, Yarasheski KE, Contois JH. PrecivityAD2™ Blood Test: Analytical Validation of an LC-MS/MS Assay for Quantifying Plasma Phospho-tau217 and Non-Phospho-tau217 Peptide Concentrations That Are Used with Plasma Amyloid-β42/40 in a Multianalyte Assay with Algorithmic Analysis for Detecting Brain Amyloid Pathology. Diagnostics (Basel) 2024; 14:1739. [PMID: 39202226 PMCID: PMC11353612 DOI: 10.3390/diagnostics14161739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Revised: 08/07/2024] [Accepted: 08/08/2024] [Indexed: 09/03/2024] Open
Abstract
Alzheimer's disease (AD) is a progressive irreversible neurodegenerative disorder that represents a major global public health concern. Traditionally, AD is diagnosed using cerebrospinal fluid biomarker analysis or brain imaging modalities. Recently, less burdensome, more widely available blood biomarker (BBM) assays for amyloid-beta (Aβ42/40) and phosphorylated-tau concentrations have been found to accurately identify the presence/absence of brain amyloid plaques and tau tangles and have helped to streamline AD diagnosis. However, few BBMs have been rigorously analytically validated. Herein, we report the analytical validation of a novel liquid chromatography-tandem mass spectrometry (LC-MS/MS) multiplex method for quantifying plasma phosphorylated-tau217 (p-tau217) and non-phosphorylated-tau217 (np-tau217) peptide concentrations. We combined the p-tau217/np-tau217 concentrations ratio (%p-tau217) and the previously validated LC-MS/MS multiplex assay for plasma Aβ42/40 into a new multianalyte assay with algorithmic analysis (MAAA; PrecivityAD2™ test) that identifies brain amyloid status based on brain amyloid positron emission tomography. We found (a) the %p-tau217 assay is precise, accurate, sensitive, and linear over a wide analytical measurement range, and free from carryover and interference; (b) the pre-analytical specimen collection, processing, storage, and shipping conditions that maintain plasma tau peptide stability; and (c) using the measured analytical imprecision for plasma Aβ42/40 and p-tau217/np-tau217 levels in a worst-case scenario model, the PrecivityAD2 test algorithm for amyloid pathology classification changed for only 3.5% of participants from brain amyloid positive to negative, or from negative to positive. The plasma sample preparation and LC-MS/MS methods underlying the PrecivityAD2 test are suitable for use in the clinical laboratory and valid for the test's intended purpose: to aid in the diagnostic evaluation of individuals aged 55 and older with signs or symptoms of mild cognitive impairment or dementia.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Kevin E. Yarasheski
- C2N Diagnostics, 4340 Duncan Avenue, Suite 110, Saint Louis, MO 63110, USA; (S.M.E.); (M.R.M.); (K.M.K.); (T.L.W.-R.); (F.I.); (M.S.H.); (P.B.V.); (T.W.); (J.B.B.); (J.H.C.)
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11
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Devanarayan V, Doherty T, Charil A, Sachdev P, Ye Y, Murali LK, Llano DA, Zhou J, Reyderman L, Hampel H, Kramer LD, Dhadda S, Irizarry MC. Plasma pTau217 predicts continuous brain amyloid levels in preclinical and early Alzheimer's disease. Alzheimers Dement 2024; 20:5617-5628. [PMID: 38940656 PMCID: PMC11350129 DOI: 10.1002/alz.14073] [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: 04/08/2024] [Revised: 05/24/2024] [Accepted: 05/24/2024] [Indexed: 06/29/2024]
Abstract
BACKGROUND This study investigated the potential of phosphorylated plasma Tau217 ratio (pTau217R) and plasma amyloid beta (Aβ) 42/Aβ40 in predicting brain amyloid levels measured by positron emission tomography (PET) Centiloid (CL) for Alzheimer's disease (AD) staging and screening. METHODS Quantification of plasma pTau217R and Aβ42/Aβ40 employed immunoprecipitation-mass spectrometry. CL prediction models were developed on a cohort of 904 cognitively unimpaired, preclinical and early AD subjects and validated on two independent cohorts. RESULTS Models integrating pTau217R outperformed Aβ42/Aβ40 alone, predicting amyloid levels up to 89.1 CL. High area under the receiver operating characteristic curve (AUROC) values (89.3% to 94.7%) were observed across a broad CL range (15 to 90). Utilizing pTau217R-based models for low amyloid levels reduced PET scans by 70.5% to 78.6%. DISCUSSION pTau217R effectively predicts brain amyloid levels, surpassing cerebrospinal fluid Aβ42/Aβ40's range. Combining it with plasma Aβ42/Aβ40 enhances sensitivity for low amyloid detection, reducing unnecessary PET scans and expanding clinical utility. CLINICALTRIALS GOV IDENTIFIERS NCT02956486 (MissionAD1), NCT03036280 (MissionAD2), NCT04468659 (AHEAD3-45), NCT03887455 (ClarityAD) HIGHLIGHTS: Phosphorylated plasma Tau217 ratio (pTau217R) effectively predicts amyloid-PET Centiloid (CL) across a broad spectrum. Integrating pTau217R with Aβ42/Aβ40 extends the CL prediction upper limit to 89.1 CL. Combined model predicts amyloid status with high accuracy, especially in cognitively unimpaired individuals. This model identifies subjects above or below various CL thresholds with high accuracy. pTau217R-based models significantly reduce PET scans by up to 78.6% for screening out individuals with no/low amyloid.
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Affiliation(s)
- Viswanath Devanarayan
- Eisai Inc., Clinical Evidence GenerationNutleyNew JerseyUSA
- Department of MathematicsStatistics and Computer ScienceUniversity of Illinois ChicagoChicagoIllinoisUSA
| | | | - Arnaud Charil
- Eisai Inc., Clinical Evidence GenerationNutleyNew JerseyUSA
| | | | - Yuanqing Ye
- Eisai Inc., Clinical Evidence GenerationNutleyNew JerseyUSA
| | | | - Daniel A. Llano
- Carle Illinois College of MedicineUrbanaIllinoisUSA
- Department of Molecular and Integrative PhysiologyUniversity of Illinois Urbana‐ChampaignUrbanaIllinoisUSA
- Beckman Institute for Advanced Science and TechnologyUrbanaIllinoisUSA
| | - Jin Zhou
- Eisai Inc., Clinical Evidence GenerationNutleyNew JerseyUSA
| | | | - Harald Hampel
- Eisai Inc., Clinical Evidence GenerationNutleyNew JerseyUSA
| | - Lynn D. Kramer
- Eisai Inc., Clinical Evidence GenerationNutleyNew JerseyUSA
| | - Shobha Dhadda
- Eisai Inc., Clinical Evidence GenerationNutleyNew JerseyUSA
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12
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Assfaw AD, Schindler SE, Morris JC. Advances in blood biomarkers for Alzheimer disease (AD): A review. Kaohsiung J Med Sci 2024; 40:692-698. [PMID: 38888066 DOI: 10.1002/kjm2.12870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Accepted: 06/04/2024] [Indexed: 06/20/2024] Open
Abstract
Alzheimer disease (AD) and Alzheimer Disease and Related Dementias (AD/ADRD) are growing public health challenges globally affecting millions of older adults, necessitating concerted efforts to advance our understanding and management of these conditions. AD is a progressive neurodegenerative disorder characterized pathologically by amyloid plaques and tau neurofibrillary tangles that are the primary cause of dementia in older individuals. Early and accurate diagnosis of AD dementia is crucial for effective intervention and treatment but has proven challenging to accomplish. Although testing for AD brain pathology with cerebrospinal fluid (CSF) or positron emission tomography (PET) has been available for over 2 decades, most patients never underwent this testing because of inaccessibility, high out-of-pocket costs, perceived risks, and the lack of AD-specific treatments. However, in recent years, rapid progress has been made in developing blood biomarkers for AD/ADRD. Consequently, blood biomarkers have emerged as promising tools for non-invasive and cost-effective diagnosis, prognosis, and monitoring of AD progression. This review presents the evolving landscape of blood biomarkers in AD/ADRD and explores their potential applications in clinical practice for early detection, prognosis, and therapeutic interventions. It covers recent advances in blood biomarkers, including amyloid beta (Aβ) peptides, tau protein, neurofilament light chain (NfL), and glial fibrillary acidic protein (GFAP). It also discusses their diagnostic and prognostic utility while addressing associated challenges and limitations. Future research directions in this rapidly evolving field are also proposed.
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Affiliation(s)
- Araya Dimtsu Assfaw
- Department of Neurology, Knight Alzheimer Disease Research Center (Knight ADRC), Washington University School of Medicine, St. Louis, Missouri, USA
| | - Suzanne E Schindler
- Department of Neurology, Knight Alzheimer Disease Research Center (Knight ADRC), Washington University School of Medicine, St. Louis, Missouri, USA
| | - John C Morris
- Department of Neurology, Knight Alzheimer Disease Research Center (Knight ADRC), Washington University School of Medicine, St. Louis, Missouri, USA
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13
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Abramowitz A, Weber M. Management of MCI in the Outpatient Setting. Curr Psychiatry Rep 2024; 26:413-421. [PMID: 38856858 DOI: 10.1007/s11920-024-01514-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/27/2024] [Indexed: 06/11/2024]
Abstract
PURPOSE OF REVIEW We review current literature related to the clinical assessment of Mild Cognitive Impairment (MCI). We compile recommendations related to the evaluation of MCI and examine literature regarding the use of clinical biomarkers in this assessment, the role of non-pharmacologic therapy in the prevention of cognitive decline, and recent approval of anti-amyloid therapy in the treatment of MCI. RECENT FINDINGS The role of imaging and plasma biomarkers in the clinical assessment of MCI has expanded. There is data that non-pharmacologic therapy may have a role in the prevention of neurocognitive decline. Anti-amyloid therapies have recently been approved for clinical use. Clinical assessment of MCI remains multifactorial and includes screening and treating for underlying psychiatric and medical co-morbidities. The use of biomarkers in clinical settings is expanding with the rise of anti-amyloid therapies. These new diagnostics and therapeutics require nuanced discussion of risks and benefits. Psychiatrist's skillset is uniquely suited for these complex evaluations.
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Affiliation(s)
- Amy Abramowitz
- UNC School of Medicine and UNC Hospitals, Chapel Hill, NC, USA.
| | - Michael Weber
- UNC School of Medicine and UNC Hospitals, Chapel Hill, NC, USA
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14
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Mielke MM, Fowler NR. Alzheimer disease blood biomarkers: considerations for population-level use. Nat Rev Neurol 2024; 20:495-504. [PMID: 38862788 PMCID: PMC11347965 DOI: 10.1038/s41582-024-00989-1] [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] [Accepted: 05/30/2024] [Indexed: 06/13/2024]
Abstract
In the past 5 years, we have witnessed the first approved Alzheimer disease (AD) disease-modifying therapy and the development of blood-based biomarkers (BBMs) to aid the diagnosis of AD. For many reasons, including accessibility, invasiveness and cost, BBMs are more acceptable and feasible for patients than a lumbar puncture (for cerebrospinal fluid collection) or neuroimaging. However, many questions remain regarding how best to utilize BBMs at the population level. In this Review, we outline the factors that warrant consideration for the widespread implementation and interpretation of AD BBMs. To set the scene, we review the current use of biomarkers, including BBMs, in AD. We go on to describe the characteristics of typical patients with cognitive impairment in primary care, who often differ from the patient populations used in AD BBM research studies. We also consider factors that might affect the interpretation of BBM tests, such as comorbidities, sex and race or ethnicity. We conclude by discussing broader issues such as ethics, patient and provider preference, incidental findings and dealing with indeterminate results and imperfect accuracy in implementing BBMs at the population level.
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Affiliation(s)
- Michelle M Mielke
- Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
| | - Nicole R Fowler
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
- Indiana University Center for Aging Research, Indianapolis, IN, USA
- Regenstrief Institute, Inc., Indianapolis, IN, USA
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15
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Lista S, Imbimbo BP, Grasso M, Fidilio A, Emanuele E, Minoretti P, López-Ortiz S, Martín-Hernández J, Gabelle A, Caruso G, Malaguti M, Melchiorri D, Santos-Lozano A, Imbimbo C, Heneka MT, Caraci F. Tracking neuroinflammatory biomarkers in Alzheimer's disease: a strategy for individualized therapeutic approaches? J Neuroinflammation 2024; 21:187. [PMID: 39080712 PMCID: PMC11289964 DOI: 10.1186/s12974-024-03163-y] [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: 05/29/2024] [Accepted: 06/28/2024] [Indexed: 08/02/2024] Open
Abstract
BACKGROUND Recent trials of anti-amyloid-β (Aβ) monoclonal antibodies, including lecanemab and donanemab, in early Alzheimer disease (AD) showed that these drugs have limited clinical benefits and their use comes with a significant risk of serious adverse events. Thus, it seems crucial to explore complementary therapeutic approaches. Genome-wide association studies identified robust associations between AD and several AD risk genes related to immune response, including but not restricted to CD33 and TREM2. Here, we critically reviewed the current knowledge on candidate neuroinflammatory biomarkers and their role in characterizing the pathophysiology of AD. MAIN BODY Neuroinflammation is recognized to be a crucial and contributing component of AD pathogenesis. The fact that neuroinflammation is most likely present from earliest pre-stages of AD and co-occurs with the deposition of Aβ reinforces the need to precisely define the sequence and nature of neuroinflammatory events. Numerous clinical trials involving anti-inflammatory drugs previously yielded unfavorable outcomes in early and mild-to-moderate AD. Although the reasons behind these failures remain unclear, these may include the time and the target selected for intervention. Indeed, in our review, we observed a stage-dependent neuroinflammatory process in the AD brain. While the initial activation of glial cells counteracts early brain Aβ deposition, the downregulation in the functional state of microglia occurs at more advanced disease stages. To address this issue, personalized neuroinflammatory modulation therapy is required. The emergence of reliable blood-based neuroinflammatory biomarkers, particularly glial fibrillary acidic protein, a marker of reactive astrocytes, may facilitate the classification of AD patients based on the ATI(N) biomarker framework. This expands upon the traditional classification of Aβ ("A"), tau ("T"), and neurodegeneration ("N"), by incorporating a novel inflammatory component ("I"). CONCLUSIONS The present review outlines the current knowledge on potential neuroinflammatory biomarkers and, importantly, emphasizes the role of longitudinal analyses, which are needed to accurately monitor the dynamics of cerebral inflammation. Such a precise information on time and place will be required before anti-inflammatory therapeutic interventions can be considered for clinical evaluation. We propose that an effective anti-neuroinflammatory therapy should specifically target microglia and astrocytes, while considering the individual ATI(N) status of patients.
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Affiliation(s)
- Simone Lista
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), 47012, Valladolid, Spain.
| | - Bruno P Imbimbo
- Department of Research and Development, Chiesi Farmaceutici, 43122, Parma, Italy
| | | | | | | | | | - Susana López-Ortiz
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), 47012, Valladolid, Spain
| | - Juan Martín-Hernández
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), 47012, Valladolid, Spain
| | - Audrey Gabelle
- CMRR, Memory Resources and Research Center, Montpellier University of Excellence i-site, 34295, Montpellier, France
| | - Giuseppe Caruso
- Oasi Research Institute-IRCCS, 94018, Troina, Italy
- Department of Drug and Health Sciences, University of Catania, 95125, Catania, Italy
| | - Marco Malaguti
- Department for Life Quality Studies, Alma Mater Studiorum, University of Bologna, 40126, Bologna, Italy
| | - Daniela Melchiorri
- Department of Physiology and Pharmacology, Sapienza University, 00185, Rome, Italy
| | - Alejandro Santos-Lozano
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), 47012, Valladolid, Spain
- Physical Activity and Health Research Group (PaHerg), Research Institute of the Hospital, 12 de Octubre ('imas12'), 28041, Madrid, Spain
| | - Camillo Imbimbo
- Department of Brain and Behavioral Sciences, University of Pavia, 27100, Pavia, Italy
| | - Michael T Heneka
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, 4367, Esch-Belval, Luxembourg.
| | - Filippo Caraci
- Oasi Research Institute-IRCCS, 94018, Troina, Italy.
- Department of Drug and Health Sciences, University of Catania, 95125, Catania, Italy.
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16
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Guo T, Li A, Sun P, He Z, Cai Y, Lan G, Liu L, Li J, Yang J, Zhu Y, Zhao R, Chen X, Shi D, Liu Z, Wang Q, Xu L, Zhou L, Ran P, Wang X, Sun K, Lu J, Han Y. Astrocyte reactivity is associated with tau tangle load and cortical thinning in Alzheimer's disease. Mol Neurodegener 2024; 19:58. [PMID: 39080744 PMCID: PMC11290175 DOI: 10.1186/s13024-024-00750-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 07/25/2024] [Indexed: 08/02/2024] Open
Abstract
BACKGROUND It is not fully established whether plasma β-amyloid(Aβ)42/Aβ40 and phosphorylated Tau181 (p-Tau181) can effectively detect Alzheimer's disease (AD) pathophysiology in older Chinese adults and how these biomarkers correlate with astrocyte reactivity, Aβ plaque deposition, tau tangle aggregation, and neurodegeneration. METHODS We recruited 470 older adults and analyzed plasma Aβ42/Aβ40, p-Tau181, glial fibrillary acidic protein (GFAP), and neurofilament light (NfL) using the Simoa platform. Among them, 301, 195, and 70 underwent magnetic resonance imaging, Aβ and tau positron emission tomography imaging. The plasma Aβ42/Aβ40 and p-Tau181 thresholds were defined as ≤0.0609 and ≥2.418 based on the receiver operating characteristic curve analysis using the Youden index by comparing Aβ-PET negative cognitively unimpaired individuals and Aβ-PET positive cognitively impaired patients. To evaluate the feasibility of using plasma Aβ42/Aβ40 (A) and p-Tau181 (T) to detect AD and understand how astrocyte reactivity affects this process, we compared plasma GFAP, Aβ plaque, tau tangle, plasma NfL, hippocampal volume, and temporal-metaROI cortical thickness between different plasma A/T profiles and explored their relations with each other using general linear models, including age, sex, APOE-ε4, and diagnosis as covariates. RESULTS Plasma A+/T + individuals showed the highest levels of astrocyte reactivity, Aβ plaque, tau tangle, and axonal degeneration, and the lowest hippocampal volume and temporal-metaROI cortical thickness. Lower plasma Aβ42/Aβ40 and higher plasma p-Tau181 were independently and synergistically correlated with higher plasma GFAP and Aβ plaque. Elevated plasma p-Tau181 and GFAP concentrations were directly and interactively associated with more tau tangle formation. Regarding neurodegeneration, higher plasma p-Tau181 and GFAP concentrations strongly correlated with more axonal degeneration, as measured by plasma NfL, and lower plasma Aβ42/Aβ40 and higher plasma p-Tau181 were related to greater hippocampal atrophy. Higher plasma GFAP levels were associated with thinner cortical thickness and significantly interacted with lower plasma Aβ42/Aβ40 and higher plasma p-Tau181 in predicting more temporal-metaROI cortical thinning. Voxel-wise imaging analysis confirmed these findings. DISCUSSION This study provides a valuable reference for using plasma biomarkers to detect AD in the Chinese community population and offers novel insights into how astrocyte reactivity contributes to AD progression, highlighting the importance of targeting reactive astrogliosis to prevent AD.
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Affiliation(s)
- Tengfei Guo
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China.
- Institute of Biomedical Engineering, Peking University Shenzhen Graduate School, Shenzhen, 518055, China.
| | - Anqi Li
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Pan Sun
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Zhengbo He
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Yue Cai
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Guoyu Lan
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Lin Liu
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Jieyin Li
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Jie Yang
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
- Department of Neurology, Xuanwu Hospital of Capital Medical University, #45 Changchun Street, Xicheng District, Beijing, 100053, China
| | - Yalin Zhu
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Ruiyue Zhao
- Department of Nuclear Medicine, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510120, China
| | - Xuhui Chen
- Department of Neurology, Peking University Shenzhen Hospital, Shenzhen, 518000, China
| | - Dai Shi
- Neurology Medicine Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518000, China
| | - Zhen Liu
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Qingyong Wang
- Department of Neurology, Shenzhen Guangming District People's Hospital, Shenzhen, 518107, China
| | - Linsen Xu
- Department of Medical Imaging, Shenzhen Guangming District People's Hospital, Shenzhen, 518106, China
| | - Liemin Zhou
- Neurology Medicine Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518000, China
| | - Pengcheng Ran
- Department of Nuclear Medicine, Guangdong Hospital of Traditional Chinese Medicine, Guangzhou, 510120, China
| | - Xinlu Wang
- Department of Nuclear Medicine, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510120, China
| | - Kun Sun
- Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen, 518132, China
| | - Jie Lu
- Department of Neurology, Xuanwu Hospital of Capital Medical University, #45 Changchun Street, Xicheng District, Beijing, 100053, China.
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, #45 Changchun Street, Xicheng District, Beijing, 100053, China.
| | - Ying Han
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China.
- Department of Neurology, Xuanwu Hospital of Capital Medical University, #45 Changchun Street, Xicheng District, Beijing, 100053, China.
- School of Biomedical Engineering, Hainan University, Haikou, 570228, China.
- Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, 100053, China.
- National Clinical Research Center for Geriatric Diseases, Beijing, 100053, China.
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17
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Bivona G, Sammataro S, Ghersi G. Nucleic Acids-Based Biomarkers for Alzheimer's Disease Diagnosis and Novel Molecules to Treat the Disease. Int J Mol Sci 2024; 25:7893. [PMID: 39063135 PMCID: PMC11277093 DOI: 10.3390/ijms25147893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2024] [Revised: 07/16/2024] [Accepted: 07/17/2024] [Indexed: 07/28/2024] Open
Abstract
Alzheimer's disease (AD) represents the most common form of dementia and affects million people worldwide, with a high social burden and considerable economic costs. AD diagnosis benefits from a well-established panel of laboratory tests that allow ruling-in patients, along with FDG and amyloid PET imaging tools. The main laboratory tests used to identify AD patients are Aβ40, Aβ42, the Aβ42/Aβ40 ratio, phosphorylated Tau 181 (pTau181) and total Tau (tTau). Although they are measured preferentially in the cerebrospinal fluid (CSF), some evidence about the possibility for blood-based determination to enter clinical practice is growing up. Unfortunately, CSF biomarkers for AD and, even more, the blood-based ones, present a few flaws, and twenty years of research in this field did not overcome these pitfalls. The tale even worsens when the issue of treating AD is addressed due to the lack of effective strategies despite the many decades of attempts by pharmaceutic industries and scientists. Amyloid-based drugs failed to stop the disease, and no neuroinflammation-based drugs have been demonstrated to work so far. Hence, only symptomatic therapy is available, with no disease-modifying treatment on hand. Such a desolate situation fully justifies the active search for novel biomarkers to be used as reliable tests for AD diagnosis and molecular targets for treating patients. Recently, a novel group of molecules has been identified to be used for AD diagnosis and follow-up, the nuclei acid-based biomarkers. Nucleic acid-based biomarkers are a composite group of extracellular molecules consisting of DNA and RNA alone or in combination with other molecules, including proteins. This review article reports the main findings from the studies carried out on these biomarkers during AD, and highlights their advantages and limitations.
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Affiliation(s)
- Giulia Bivona
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, 90127 Palermo, Italy
| | - Selene Sammataro
- Department of Precision Medicine in Medical, Surgical and Critical Care (Me.Pre.C.C.), University of Palermo, 90127 Palermo, Italy;
| | - Giulio Ghersi
- Department of Biological, Chemical and Pharmaceutical Sciences and Technologies (STEBICEF), University of Palermo, 90128 Palermo, Italy;
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18
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Sun Z, Zhang X, So KF, Jiang W, Chiu K. Targeting Microglia in Alzheimer's Disease: Pathogenesis and Potential Therapeutic Strategies. Biomolecules 2024; 14:833. [PMID: 39062547 PMCID: PMC11274940 DOI: 10.3390/biom14070833] [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: 05/03/2024] [Revised: 07/01/2024] [Accepted: 07/09/2024] [Indexed: 07/28/2024] Open
Abstract
Microglia, as resident macrophages in the central nervous system, play a multifunctional role in the pathogenesis of Alzheimer's disease (AD). Their clustering around amyloid-β (Aβ) deposits is a core pathological feature of AD. Recent advances in single-cell RNA sequencing (scRNA-seq) and single-nucleus RNA sequencing (snRNA-seq) have revealed dynamic changes in microglial phenotypes over time and across different brain regions during aging and AD progression. As AD advances, microglia primarily exhibit impaired phagocytosis of Aβ and tau, along with the release of pro-inflammatory cytokines that damage synapses and neurons. Targeting microglia has emerged as a potential therapeutic approach for AD. Treatment strategies involving microglia can be broadly categorized into two aspects: (1) enhancing microglial function: This involves augmenting their phagocytic ability against Aβ and cellular debris and (2) mitigating neuroinflammation: Strategies include inhibiting TNF-α signaling to reduce the neuroinflammatory response triggered by microglia. Clinical trials exploring microglia-related approaches for AD treatment have garnered attention. Additionally, natural products show promise in enhancing beneficial effects and suppressing inflammatory responses. Clarifying microglial dynamics, understanding their roles, and exploring novel therapeutic approaches will advance our fight against AD.
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Affiliation(s)
- Zhongqing Sun
- Department of Neurology, Xijing Hospital, Fourth Military Medical University, Xi’an 710032, China
- Department of Ophthalmology, School of Clinical Medicine, Li Kai Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- State Key Lab of Brain and Cognitive Sciences, Li Kai Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Xin Zhang
- Department of Neurology, Xijing Hospital, Fourth Military Medical University, Xi’an 710032, China
| | - Kwok-Fai So
- State Key Lab of Brain and Cognitive Sciences, Li Kai Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Guangdong-Hongkong-Macau Institute of CNS Regeneration, Key Laboratory of CNS Regeneration (Ministry of Education), Jinan University, Guangzhou 510632, China
- Department of Psychology, The University of Hong Kong, Hong Kong SAR, China
| | - Wen Jiang
- Department of Neurology, Xijing Hospital, Fourth Military Medical University, Xi’an 710032, China
| | - Kin Chiu
- Department of Ophthalmology, School of Clinical Medicine, Li Kai Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- State Key Lab of Brain and Cognitive Sciences, Li Kai Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Department of Psychology, The University of Hong Kong, Hong Kong SAR, China
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19
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Xiong C, Luo J, Wolk DA, Shaw LM, Roberson ED, Murchison CF, Henson RL, Benzinger TLS, Bui Q, Agboola F, Grant E, Gremminger EN, Moulder KL, Geldmacher DS, Clay OJ, Babulal G, Cruchaga C, Holtzman DM, Bateman RJ, Morris JC, Schindler SE. Baseline levels and longitudinal changes in plasma Aβ42/40 among Black and white individuals. Nat Commun 2024; 15:5539. [PMID: 38956096 PMCID: PMC11219932 DOI: 10.1038/s41467-024-49859-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 06/21/2024] [Indexed: 07/04/2024] Open
Abstract
Blood-based biomarkers of Alzheimer disease (AD) may facilitate testing of historically under-represented groups. The Study of Race to Understand Alzheimer Biomarkers (SORTOUT-AB) is a multi-center longitudinal study to compare AD biomarkers in participants who identify their race as either Black or white. Plasma samples from 324 Black and 1,547 white participants underwent analysis with C2N Diagnostics' PrecivityAD test for Aβ42 and Aβ40. Compared to white individuals, Black individuals had higher average plasma Aβ42/40 levels at baseline, consistent with a lower average level of amyloid pathology. Interestingly, this difference resulted from lower average levels of plasma Aβ40 in Black participants. Despite the differences, Black and white individuals had similar longitudinal rates of change in Aβ42/40, consistent with a similar rate of amyloid accumulation. Our results agree with multiple recent studies demonstrating a lower prevalence of amyloid pathology in Black individuals, and additionally suggest that amyloid accumulates consistently across both groups.
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Affiliation(s)
- Chengjie Xiong
- Division of Biostatistics, Washington University, St. Louis, MO, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Jingqin Luo
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA
- Siteman Cancer Center Biostatistics and Qualitative Research Shared Resource, Washington University School of Medicine, St. Louis, MO, USA
| | - David A Wolk
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Leslie M Shaw
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Erik D Roberson
- Alzheimer's Disease Center, Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Charles F Murchison
- Alzheimer's Disease Center, Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Rachel L Henson
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Tammie L S Benzinger
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Mallinckrodt Institute of Radiology, Washington University, St. Louis, MO, USA
| | - Quoc Bui
- Division of Biostatistics, Washington University, St. Louis, MO, USA
| | - Folasade Agboola
- Division of Biostatistics, Washington University, St. Louis, MO, USA
| | - Elizabeth Grant
- Division of Biostatistics, Washington University, St. Louis, MO, USA
| | | | - Krista L Moulder
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - David S Geldmacher
- Alzheimer's Disease Center, Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Olivio J Clay
- Alzheimer's Disease Center, Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA
- Department of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Ganesh Babulal
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Carlos Cruchaga
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - David M Holtzman
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Randall J Bateman
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - John C Morris
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Suzanne E Schindler
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA.
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20
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Chu H, Huang C, Guan Y, Xie F, Chen M, Guo Q. The associations between nutritional status and physical frailty and Alzheimer's disease plasma biomarkers in older cognitively unimpaired adults with positive of amyloid-β PET. Clin Nutr 2024; 43:1647-1656. [PMID: 38810424 DOI: 10.1016/j.clnu.2024.05.024] [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: 02/01/2024] [Revised: 05/06/2024] [Accepted: 05/12/2024] [Indexed: 05/31/2024]
Abstract
BACKGROUND & AIMS It has been revealed good nutritional status and no physical frailty, which are modifiable lifestyle factors, are linked to less cognitive decline and a lower risk of Alzheimer's disease (AD). We aimed to investigate the associations between nutritional status and physical frailty and plasma AD biomarkers, especially the Tau-associated biomarkers in older cognitively unimpaired (CU) adults with higher β-amyloid (Aβ) burden. METHODS The nutritional status and physical frailty were assessed via Mini-Nutritional Assessment Short-Form (MNA-SF) and Fried frailty index. The participants underwent the examination of plasma AD biomarkers and 18F-florbetapir PET scan as well as 18F-MK6240 PET in the validation cohort. Correlation and multiple linear regression analyses were used to investigate the associations between nutritional status and frailty and AD biomarkers. RESULTS Two cohorts were included in our study. A total of 129 participants with Aβ-PET positive were enrolled in the development cohort. Multiple linear regression analysis showed MNA-SF scores, normal nutritional status, Fried frailty index scores, frailty and some domains of frailty including weight loss, maximal grip strength and exhaustion were associated with plasma p-Tau-181. Furthermore, weight loss, Fried frailty index scores and frailty were associated with higher Aβ-PET standard uptake value ratio. We further performed subgroup analyses stratified by age, sex and apolipoprotein E ε4 genotype to investigate the beneficial characteristics of nutrition and frailty in the special subgroups. Validation cohort contained 38 Aβ-PET positive participants. MNA-SF scores, normal nutritional status, Fried frailty index scores and frailty were associated with Tau burden evaluated by 18F-MK6240 PET Braak-like stages. CONCLUSIONS Our data indicates that normal nutritional status and no physical frailty may be associated with expected trend of plasma AD biomarkers, especially less Tau pathology in older CU adults with Aβ deposition. Adjusting to these characteristics of nutrition and physical frailty may help reduce the risk of AD development.
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Affiliation(s)
- Heling Chu
- Department of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chuyi Huang
- Health Management Center, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Yihui Guan
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Fang Xie
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Meirong Chen
- Department of Neurorehabilitation High Dependency Unit, Jiangwan Hospital, Shanghai, China.
| | - Qihao Guo
- Department of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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21
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Devanarayan V, Llano DA, Hu YH, Hampel H, Kramer L, Dhadda S, Irizarry M. Plasma pTau181 enhances the prediction of future clinical decline in amyloid-positive mild cognitive impairment. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2024; 16:e12621. [PMID: 39045143 PMCID: PMC11263975 DOI: 10.1002/dad2.12621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 05/29/2024] [Accepted: 06/19/2024] [Indexed: 07/25/2024]
Abstract
Abstract Plasma pTau181, a marker of amyloid and tau burden, was evaluated as a prognostic predictor of clinical decline and Alzheimer's disease (AD) progression of amyloid-positive (Aβ+) patients with mild cognitive impairment (MCI). The training cohort for constructing the Bayesian prediction models comprised 135 Aβ+ MCI clinical trial placebo subjects. Performance was evaluated in two validation cohorts. An 18-month ≥1 increase in the Clinical Dementia Rating Sum of Boxes was the clinical decline criterion. Baseline plasma pTau181 concentration matched clinical assessments' prediction performance. Adding pTau181 to clinical assessments significantly improved the prediction of an 18-month clinical decline and the 36-month progression from Aβ+ MCI to AD. The area under the receiver operating characteristic curve for the latter increased from 71.8% to 79%, and the hazard ratio for time-to-progression improved from 2.26 to 3.11 (p < 0.0001). Baseline plasma pTau181 has the potential for identifying Aβ+ MCI subjects with faster clinical decline over time. Highlights This study assessed pTau181 as a prognostic predictor of 18-month clinical decline and extended progression to Alzheimer's disease (AD) in amyloid-positive patients with mild cognitive impairment (Aβ+ MCI).The research findings underscore the promise of baseline plasma pTau181 as a screening tool for identifying Aβ+ MCI individuals with accelerated clinical decline within a standard 18-month clinical trial period. The predictive accuracy is notably enhanced when combined with clinical assessments.Similar positive outcomes were noted in forecasting the extended progression of Aβ+ MCI subjects to AD.
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Affiliation(s)
- Viswanath Devanarayan
- Eisai Inc.Clinical Evidence GenerationNutleyNew JerseyUSA
- Department of MathematicsStatistics and Computer ScienceUniversity of Illinois ChicagoChicagoIllinoisUSA
| | - Daniel A. Llano
- Carle Illinois College of MedicineUrbanaIllinoisUSA
- Department of Molecular and Integrative PhysiologyUniversity of Illinois Urbana‐ChampaignUrbanaIllinoisUSA
- Beckman Institute for Advanced Science and TechnologyUrbanaIllinoisUSA
| | - Yan Helen Hu
- Eisai Inc.Clinical Evidence GenerationNutleyNew JerseyUSA
| | - Harald Hampel
- Eisai Inc.Clinical Evidence GenerationNutleyNew JerseyUSA
| | - Lynn Kramer
- Eisai Inc.Clinical Evidence GenerationNutleyNew JerseyUSA
| | - Shobha Dhadda
- Eisai Inc.Clinical Evidence GenerationNutleyNew JerseyUSA
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22
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Das SR, Ilesanmi A, Wolk DA, Gee JC. Beyond Macrostructure: Is There a Role for Radiomics Analysis in Neuroimaging ? Magn Reson Med Sci 2024; 23:367-376. [PMID: 38880615 PMCID: PMC11234947 DOI: 10.2463/mrms.rev.2024-0053] [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: 04/28/2024] [Accepted: 05/20/2024] [Indexed: 06/18/2024] Open
Abstract
The most commonly used neuroimaging biomarkers of brain structure, particularly in neurodegenerative diseases, have traditionally been summary measurements from ROIs derived from structural MRI, such as volume and thickness. Advances in MR acquisition techniques, including high-field imaging, and emergence of learning-based methods have opened up opportunities to interrogate brain structure in finer detail, allowing investigators to move beyond macrostructural measurements. On the one hand, superior signal contrast has the potential to make appearance-based metrics that directly analyze intensity patterns, such as texture analysis and radiomics features, more reliable. Quantitative MRI, particularly at high-field, can also provide a richer set of measures with greater interpretability. On the other hand, use of neural networks-based techniques has the potential to exploit subtle patterns in images that can now be mined with advanced imaging. Finally, there are opportunities for integration of multimodal data at different spatial scales that is enabled by developments in many of the above techniques-for example, by combining digital histopathology with high-resolution ex-vivo and in-vivo MRI. Some of these approaches are at early stages of development and present their own set of challenges. Nonetheless, they hold promise to drive the next generation of validation and biomarker studies. This article will survey recent developments in this area, with a particular focus on Alzheimer's disease and related disorders. However, most of the discussion is equally relevant to imaging of other neurological disorders, and even to other organ systems of interest. It is not meant to be an exhaustive review of the available literature, but rather presented as a summary of recent trends through the discussion of a collection of representative studies with an eye towards what the future may hold.
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Affiliation(s)
- Sandhitsu R. Das
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
- Penn Image Computing and Science Laboratory (PICSL), Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
- Penn Memory Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Ademola Ilesanmi
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
- Penn Image Computing and Science Laboratory (PICSL), Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - David A. Wolk
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
- Penn Memory Center, University of Pennsylvania, Philadelphia, PA, USA
| | - James C. Gee
- Penn Image Computing and Science Laboratory (PICSL), Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
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23
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McInvale JJ, Canoll P, Hargus G. Induced pluripotent stem cell models as a tool to investigate and test fluid biomarkers in Alzheimer's disease and frontotemporal dementia. Brain Pathol 2024; 34:e13231. [PMID: 38246596 PMCID: PMC11189780 DOI: 10.1111/bpa.13231] [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: 10/03/2023] [Accepted: 11/29/2023] [Indexed: 01/23/2024] Open
Abstract
Neurodegenerative diseases are increasing in prevalence and comprise a large socioeconomic burden on patients and their caretakers. The need for effective therapies and avenues for disease prevention and monitoring is of paramount importance. Fluid biomarkers for neurodegenerative diseases have gained a variety of uses, including informing participant selection for clinical trials, lending confidence to clinical diagnosis and disease staging, determining prognosis, and monitoring therapeutic response. Their role is expected to grow as disease-modifying therapies start to be available to a broader range of patients and as prevention strategies become established. Many of the underlying molecular mechanisms of currently used biomarkers are incompletely understood. Animal models and in vitro systems using cell lines have been extensively employed but face important translatability limitations. Induced pluripotent stem cell (iPSC) technology, where a theoretically unlimited range of cell types can be reprogrammed from peripheral cells sampled from patients or healthy individuals, has gained prominence over the last decade. It is a promising avenue to study physiological and pathological biomarker function and response to experimental therapeutics. Such systems are amenable to high-throughput drug screening or multiomics readouts such as transcriptomics, lipidomics, and proteomics for biomarker discovery, investigation, and validation. The present review describes the current state of biomarkers in the clinical context of neurodegenerative diseases, with a focus on Alzheimer's disease and frontotemporal dementia. We include a discussion of how iPSC models have been used to investigate and test biomarkers such as amyloid-β, phosphorylated tau, neurofilament light chain or complement proteins, and even nominate novel biomarkers. We discuss the limitations of current iPSC methods, mentioning alternatives such as coculture systems and three-dimensional organoids which address some of these concerns. Finally, we propose exciting prospects for stem cell transplantation paradigms using animal models as a preclinical tool to study biomarkers in the in vivo context.
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Affiliation(s)
- Julie J. McInvale
- Department of Pathology and Cell BiologyColumbia UniversityNew YorkNew YorkUSA
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia UniversityNew YorkNew YorkUSA
- Medical Scientist Training Program, Columbia UniversityNew YorkNew YorkUSA
| | - Peter Canoll
- Department of Pathology and Cell BiologyColumbia UniversityNew YorkNew YorkUSA
| | - Gunnar Hargus
- Department of Pathology and Cell BiologyColumbia UniversityNew YorkNew YorkUSA
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia UniversityNew YorkNew YorkUSA
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24
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Narasimhan S, Holtzman DM, Apostolova LG, Cruchaga C, Masters CL, Hardy J, Villemagne VL, Bell J, Cho M, Hampel H. Apolipoprotein E in Alzheimer's disease trajectories and the next-generation clinical care pathway. Nat Neurosci 2024; 27:1236-1252. [PMID: 38898183 DOI: 10.1038/s41593-024-01669-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 04/18/2024] [Indexed: 06/21/2024]
Abstract
Alzheimer's disease (AD) is a complex, progressive primary neurodegenerative disease. Since pivotal genetic studies in 1993, the ε4 allele of the apolipoprotein E gene (APOE ε4) has remained the strongest single genome-wide associated risk variant in AD. Scientific advances in APOE biology, AD pathophysiology and ApoE-targeted therapies have brought APOE to the forefront of research, with potential translation into routine AD clinical care. This contemporary Review will merge APOE research with the emerging AD clinical care pathway and discuss APOE genetic risk as a conduit to genomic-based precision medicine in AD, including ApoE's influence in the ATX(N) biomarker framework of AD. We summarize the evidence for APOE as an important modifier of AD clinical-biological trajectories. We then illustrate the utility of APOE testing and the future of ApoE-targeted therapies in the next-generation AD clinical-diagnostic pathway. With the emergence of new AD therapies, understanding how APOE modulates AD pathophysiology will become critical for personalized AD patient care.
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Affiliation(s)
| | - David M Holtzman
- Department of Neurology, Hope Center for Neurological Disorders, Knight ADRC, Washington University in St. Louis, St. Louis, MO, USA
| | - Liana G Apostolova
- Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Radiology and Imaging Neurosciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Colin L Masters
- Florey Institute and the University of Melbourne, Parkville, Victoria, Australia
| | - John Hardy
- Department of Neurodegenerative Disease and Dementia Research Institute, Reta Lila Weston Research Laboratories, UCL Institute of Neurology, Queen Square, London, UK
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25
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Schindler SE, Galasko D, Pereira AC, Rabinovici GD, Salloway S, Suárez-Calvet M, Khachaturian AS, Mielke MM, Udeh-Momoh C, Weiss J, Batrla R, Bozeat S, Dwyer JR, Holzapfel D, Jones DR, Murray JF, Partrick KA, Scholler E, Vradenburg G, Young D, Algeciras-Schimnich A, Aubrecht J, Braunstein JB, Hendrix J, Hu YH, Mattke S, Monane M, Reilly D, Somers E, Teunissen CE, Shobin E, Vanderstichele H, Weiner MW, Wilson D, Hansson O. Acceptable performance of blood biomarker tests of amyloid pathology - recommendations from the Global CEO Initiative on Alzheimer's Disease. Nat Rev Neurol 2024; 20:426-439. [PMID: 38866966 DOI: 10.1038/s41582-024-00977-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/16/2024] [Indexed: 06/14/2024]
Abstract
Anti-amyloid treatments for early symptomatic Alzheimer disease have recently become clinically available in some countries, which has greatly increased the need for biomarker confirmation of amyloid pathology. Blood biomarker (BBM) tests for amyloid pathology are more acceptable, accessible and scalable than amyloid PET or cerebrospinal fluid (CSF) tests, but have highly variable levels of performance. The Global CEO Initiative on Alzheimer's Disease convened a BBM Workgroup to consider the minimum acceptable performance of BBM tests for clinical use. Amyloid PET status was identified as the reference standard. For use as a triaging test before subsequent confirmatory tests such as amyloid PET or CSF tests, the BBM Workgroup recommends that a BBM test has a sensitivity of ≥90% with a specificity of ≥85% in primary care and ≥75-85% in secondary care depending on the availability of follow-up testing. For use as a confirmatory test without follow-up tests, a BBM test should have performance equivalent to that of CSF tests - a sensitivity and specificity of ~90%. Importantly, the predictive values of all biomarker tests vary according to the pre-test probability of amyloid pathology and must be interpreted in the complete clinical context. Use of BBM tests that meet these performance standards could enable more people to receive an accurate and timely Alzheimer disease diagnosis and potentially benefit from new treatments.
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Affiliation(s)
- Suzanne E Schindler
- Department of Neurology, Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St Louis, MO, USA.
| | - Douglas Galasko
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Ana C Pereira
- Department of Neurology, Icahn School of Medicine, Mount Sinai, New York, NY, USA
| | - Gil D Rabinovici
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
- Department of Radiology and Biomedical Imaging, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Stephen Salloway
- Department of Neurology, Alpert Medical School, Brown University, Providence, RI, USA
| | - Marc Suárez-Calvet
- Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain
| | | | - Michelle M Mielke
- Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Chi Udeh-Momoh
- Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Joan Weiss
- US Department of Health and Human Services, Health Resources and Services Administration, Bureau of Health Workforce, Rockville, MD, USA
| | | | | | - John R Dwyer
- Global Alzheimer's Platform Foundation, Washington, DC, USA
| | - Drew Holzapfel
- The Global CEO Initiative on Alzheimer's Disease, Philadelphia, PA, USA
| | | | | | | | - Emily Scholler
- The Global CEO Initiative on Alzheimer's Disease, Philadelphia, PA, USA
| | - George Vradenburg
- Davos Alzheimer's Collaborative, Philadelphia, PA, USA
- UsAgainstAlzheimer's, Washington, DC, USA
| | | | | | | | | | | | | | - Soeren Mattke
- The USC Brain Health Observatory, University of Southern California, Los Angeles, CA, USA
| | | | | | | | - Charlotte E Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam University Medical Centers, Vrije Universitiet, Amsterdam, The Netherlands
| | | | | | - Michael W Weiner
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, CA, USA
- Department of Psychiatry, University of California, San Francisco, CA, USA
- Department of Neurology, University of California, San Francisco, CA, USA
| | | | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.
- Memory Clinic, Skåne University Hospital, Malmö, Sweden.
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26
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Wimo A, Kirsebom BE, Timón-Reina S, Vromen E, Selnes P, Bon J, Emersic A, Kramberger MG, Speh A, Visser PJ, Winblad B, Fladby T. Costs of diagnosing early Alzheimer's disease in three European memory clinic settings: Results from the precision medicine in Alzheimer's disease project. Int J Geriatr Psychiatry 2024; 39:e6126. [PMID: 39030788 DOI: 10.1002/gps.6126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Accepted: 07/05/2024] [Indexed: 07/22/2024]
Abstract
OBJECTIVES The implementation of disease-modifying treatments for Alzheimer's Disease (AD) will require cost-effective diagnostic processes. As part of The Precision Medicine In AD consortium (PMI-AD) project, the aim is to analyze the baseline costs of diagnosing early AD at memory clinics in Norway, Slovenia, and the Netherlands. METHODS The costs of cognitive testing and a clinical examination, apolipoprotein E, magnetic resonance imaging (MRI), cerebrospinal fluid (CSF), positron emission tomography and blood-based biomarkers (BBM), which are used in different combinations in the three countries, were analyzed. Standardized unit costs, adjusted for GDP per capita and based on Swedish conditions were applied. The costs were expressed in euros (€) as of 2019. A diagnostic set comprising clinical examination, cognitive testing, MRI and CSF was defined as the gold standard, with MRI mainly used as an exclusion filter. RESULTS Cost data were available for 994 persons in Norway, 169 in Slovenia and 1015 in the Netherlands. The mean diagnostic costs were 1478 (95% confidence interval 1433-1523) € in Norway, 851 (731-970) € in Slovenia and 1184 (1135-1232) € in the Netherlands. Norway had the highest unit costs but also the greatest use of tests. With a uniform diagnostic test set applied, the diagnostic costs were 1264 (1238-1291) €, in Norway, 843 (771-914) € in Slovenia and 1184 (1156-1213) € in the Netherlands. There were no major cost differences between the final set of diagnoses. CONCLUSIONS The total costs for setting a diagnosis of AD varied somewhat in the three countries, depending on unit costs and use of tests. These costs are relatively low in comparison to the societal costs of AD.
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Affiliation(s)
- Anders Wimo
- Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, Solna, Sweden
| | - Bjørn-Eivind Kirsebom
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway
- Faculty of Health Sciences, Department of Psychology, The Arctic University of Norway, Tromsø, Norway
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | | | - Ellen Vromen
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
| | - Per Selnes
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Jaka Bon
- Department of Neurology, University Medical Centre Ljubljana, Ljubljana, Slovenia
| | - Andreja Emersic
- Department of Neurology, University Medical Centre Ljubljana, Ljubljana, Slovenia
- Faculty of Pharmacy, University of Ljubljana, Ljubljana, Slovenia
| | - Milica Gregoric Kramberger
- Department of Neurology, University Medical Centre Ljubljana, Ljubljana, Slovenia
- Medical Faculty, University of Ljubljana, Ljubljana, Slovenia
- Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics Huddinge, Karolinska Institutet, Huddinge, Sweden
| | - Andreja Speh
- Department of Neurology, University Medical Centre Ljubljana, Ljubljana, Slovenia
| | - Pieter Jelle Visser
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Department of Psychiatry, Maastricht University, Maastricht, the Netherlands
| | - Bengt Winblad
- Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, Solna, Sweden
- Theme Inflammation and Aging, Karolinska University Hospital, Stockholm, Sweden
| | - Tormod Fladby
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
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27
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Bolsewig K, van Unnik AAJM, Blujdea ER, Gonzalez MC, Ashton NJ, Aarsland D, Zetterberg H, Padovani A, Bonanni L, Mollenhauer B, Schade S, Vandenberghe R, Poesen K, Kramberger MG, Paquet C, Bousiges O, Cretin B, Willemse EAJ, Teunissen CE, Lemstra AW. Association of Plasma Amyloid, P-Tau, GFAP, and NfL With CSF, Clinical, and Cognitive Features in Patients With Dementia With Lewy Bodies. Neurology 2024; 102:e209418. [PMID: 38830138 PMCID: PMC11244745 DOI: 10.1212/wnl.0000000000209418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 04/19/2024] [Indexed: 06/05/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Plasma β-amyloid-1-42/1-40 (Aβ42/40), phosphorylated-tau (P-tau), glial fibrillary acidic protein (GFAP), and neurofilament light (NfL) have been widely examined in Alzheimer disease (AD), but little is known about their reflection of copathologies, clinical importance, and predictive value in dementia with Lewy bodies (DLB). We aimed to evaluate associations of these biomarkers with CSF amyloid, cognition, and core features in DLB. METHODS This cross-sectional multicenter cohort study with prospective component included individuals with DLB, AD, and healthy controls (HCs), recruited from 2002 to 2020 with an annual follow-up of up to 5 years, from the European-Dementia With Lewy Bodies consortium. Plasma biomarkers were measured by single-molecule array (Neurology 4-Plex E kit). Amyloid status was determined by CSF Aβ42 concentrations, and cognition was assessed by Mini-Mental State Examination (MMSE). Biomarker differences across groups, associations with amyloid status, and clinical core features were assessed by analysis of covariance. Associations with cognitive impairment and decline were assessed by linear regression and linear mixed-effects models. RESULTS In our cohort consisting of 562 individuals (HC n = 89, DLB n = 342, AD n = 131; 250 women [44.5%], mean [SD] age of 71 [8] years), sex distribution did not differ between groups. Patients with DLB were significantly older, and had less years of education and worse baseline cognition than HC, but not AD. DLB participants stratified for amyloid status differed significantly in plasma Aβ42/40 ratio (decreased in amyloid abnormal: β = -0.008, 95% CI -0.016 to -0.0003, p = 0.01) and P-tau (increased in amyloid abnormal, P-tau181: β = 0.246, 95% CI 0.011-0.481; P-tau231: β = 0.227, 95% CI 0.035-0.419, both p < 0.05), but not in GFAP (β = 0.068, 95% CI -0.018 to 0.153, p = 0.119), and NfL (β = 0.004, 95% CI -0.087 to 0.096, p = 0.923) concentrations. Higher baseline GFAP, NfL, and P-tau concentrations were associated with lower MMSE scores in DLB, and GFAP and NfL were associated with a faster cognitive decline (GFAP: annual change of -2.11 MMSE points, 95% CI -2.88 to -1.35 MMSE points, p < 0.001; NfL: annual change of -2.13 MMSE points, 95% CI -2.97 to -1.29 MMSE points, p < 0.001). DLB participants with parkinsonism had higher concentrations of NfL (β = 0.08, 95% CI 0.02-0.14, p = 0.006) than those without. DISCUSSION Our study suggests a possible utility of plasma Aβ42/40, P-tau181, and P-tau231 as a noninvasive biomarkers to assess amyloid copathology in DLB, and plasma GFAP and NfL as monitoring biomarkers for cognitive symptoms in DLB.
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Affiliation(s)
- Katharina Bolsewig
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Annemartijn A J M van Unnik
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Elena R Blujdea
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Maria C Gonzalez
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Nicholas J Ashton
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Dag Aarsland
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Henrik Zetterberg
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Alessandro Padovani
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Laura Bonanni
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Brit Mollenhauer
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Sebastian Schade
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Rik Vandenberghe
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Koen Poesen
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Milica G Kramberger
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Claire Paquet
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Olivier Bousiges
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Benjamin Cretin
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Eline A J Willemse
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Charlotte E Teunissen
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Afina W Lemstra
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
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28
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Dellarole IL, Vacchi E, Ruiz-Barrio I, Pinton S, Raimondi A, Rossi S, Morandi S, Bianco G, Begum Bacinoglu M, Lombardo A, Celauro L, Staedler C, Galati S, Pagonabarraga J, Kulisevsky J, Legname G, Gobbi C, Kaelin-Lang A, Moda F, Melli G. Tau seeding activity in skin biopsy differentiates tauopathies from synucleinopathies. NPJ Parkinsons Dis 2024; 10:116. [PMID: 38879633 PMCID: PMC11180195 DOI: 10.1038/s41531-024-00728-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 05/24/2024] [Indexed: 06/19/2024] Open
Abstract
Most neurodegenerative diseases lack definitive diagnostic tests, and the identification of easily accessible and reliable biomarkers remains a critical unmet need. Since tau protein is highly expressed in skin of tauopathies patients, we aimed to exploit the ultrasensitive seeding activity assay (SAA) to assess tau seeding activity in skin of patients with tauopathies. In this multicentric, case-control study, patients with tauopathies and synucleinopathies were consecutively recruited and sex-matched to healthy controls (HC). Subjects underwent a double 3 mm skin biopsy in cervical area and ankle. Skin tau-SAA, using TauK18 and TauK19 as reaction substrates for 4R and 3R isoforms, seeding score, clinical scales, biochemical and morphological characterization of SAA end-products were evaluated. We analyzed 58 subjects: 24 tauopathies (18 progressive supranuclear palsy, PSP, and 6 corticobasal degeneration, CBD), 20 synucleinopathies (14 Parkinson's disease, PD, and 6 multiple system atrophy, MSA), and 14 HC. PSP and CBD showed higher tau seeding activity at both anatomical sites. A greater sensitivity of 4R-SAA than 3R-SAA was observed. 4R tau-SAA identified tauopathies with 71% sensitivity and 93% specificity. Accuracy was higher for PSP than CBD: PSP vs HC / PD (AUC 0.825), while CBD vs HC / PD (AUC 0.797), and PSP vs MSA (AU 0.778). SAA end-products showed differences in biochemical and morphological characterization according to the anatomical site. Skin tau-SAA identifies tauopathies with good accuracy and can be used to implement the in-vivo clinical diagnosis of patients with neurodegenerative diseases. Further characterization of peripheral tau seed in skin may elucidate the structure of tau deposits in brain.
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Affiliation(s)
- Ilaria Linda Dellarole
- Division of Neurology 5 and Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Elena Vacchi
- Neurodegenerative Diseases Group, Laboratories for Translational Research, Ente Ospedaliero Cantonale, Bellinzona, Switzerland
- Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland
| | - Inigo Ruiz-Barrio
- Movement Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Sandra Pinton
- Neurodegenerative Diseases Group, Laboratories for Translational Research, Ente Ospedaliero Cantonale, Bellinzona, Switzerland
- Neurology Department, Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland
| | - Andrea Raimondi
- Institute for Research in Biomedicine, Università della Svizzera italiana, Bellinzona, Switzerland
| | - Stefania Rossi
- Neurology Department, Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland
| | - Sara Morandi
- Neurology Department, Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland
| | - Giovanni Bianco
- Neurology Department, Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland
| | - Merve Begum Bacinoglu
- Division of Neurology 5 and Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Annalisa Lombardo
- Division of Neurology 5 and Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Luigi Celauro
- Laboratory of Prion Biology, Department of Neuroscience, Scuola Internazionale Superiore Di Studi Avanzati (SISSA), Trieste, Italy
| | - Claudio Staedler
- Neurology Department, Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland
| | - Salvatore Galati
- Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland
- Neurology Department, Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland
| | - Javier Pagonabarraga
- Movement Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Jaime Kulisevsky
- Movement Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Giuseppe Legname
- Laboratory of Prion Biology, Department of Neuroscience, Scuola Internazionale Superiore Di Studi Avanzati (SISSA), Trieste, Italy
| | - Claudio Gobbi
- Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland
- Neurology Department, Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland
- Department of Neurology, University Hospital of Basel, Basel, Switzerland
| | - Alain Kaelin-Lang
- Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland
- Neurology Department, Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Fabio Moda
- Division of Neurology 5 and Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Giorgia Melli
- Neurodegenerative Diseases Group, Laboratories for Translational Research, Ente Ospedaliero Cantonale, Bellinzona, Switzerland.
- Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland.
- Neurology Department, Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland.
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29
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Canestaro WJ, Bateman RJ, Holtzman DM, Monane M, Braunstein JB. Use of a Blood Biomarker Test Improves Economic Utility in the Evaluation of Older Patients Presenting with Cognitive Impairment. Popul Health Manag 2024; 27:174-184. [PMID: 38546435 PMCID: PMC11304753 DOI: 10.1089/pop.2023.0309] [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: 06/21/2024] Open
Abstract
More than 16 million Americans living with cognitive impairment warrant a diagnostic evaluation to determine the cause of this disorder. The recent availability of disease-modifying therapies for Alzheimer's disease (AD) is expected to significantly drive demand for such diagnostic testing. Accurate, accessible, and affordable methods are needed. Blood biomarkers (BBMs) offer advantages over usual care amyloid positron emission tomography (PET) and cerebrospinal fluid (CSF) biomarkers in these regards. This study used a budget impact model to assess the economic utility of the PrecivityAD® blood test, a clinically validated BBM test for the evaluation of brain amyloid, a pathological hallmark of AD. The model compared 2 scenarios: (1) baseline testing involving usual care practice, and (2) early use of a BBM test before usual care CSF and PET biomarker use. At a modest 40% adoption rate, the BBM test scenario had comparable sensitivity and specificity to the usual care scenario and showed net savings in the diagnostic work-up of $3.57 million or $0.30 per member per month in a 1 million member population, translating to over $1B when extrapolated to the US population as a whole and representing a 11.4% cost reduction. Savings were driven by reductions in the frequency and need for CSF and PET testing. Additionally, BBM testing was associated with a cost savings of $643 per AD case identified. Use of the PrecivityAD blood test in the clinical care pathway may prevent unnecessary testing, provide cost savings, and reduce the burden on both patients and health plans.
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Affiliation(s)
- William J. Canestaro
- Department of Management and Organization, Foster School of Business, University of Washington, Seattle, Washington, USA
| | - Randall J. Bateman
- Department of Neurology, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - David M. Holtzman
- Department of Neurology, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - Mark Monane
- C2N Diagnostics, LLC, St. Louis, Missouri, USA
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30
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Dormann D, Lemke EA. Adding intrinsically disordered proteins to biological ageing clocks. Nat Cell Biol 2024; 26:851-858. [PMID: 38783141 DOI: 10.1038/s41556-024-01423-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 04/12/2024] [Indexed: 05/25/2024]
Abstract
Research into how the young and old differ, and which biomarkers reflect the diverse biological processes underlying ageing, is a current and fast-growing field. Biological clocks provide a means to evaluate whether a molecule, cell, tissue or even an entire organism is old or young. Here we summarize established and emerging molecular clocks as timepieces. We emphasize that intrinsically disordered proteins (IDPs) tend to transform into a β-sheet-rich aggregated state and accumulate in non-dividing or slowly dividing cells as they age. We hypothesize that understanding these protein-based molecular ageing mechanisms might provide a conceptual pathway to determining a cell's health age by probing the aggregation state of IDPs, which we term the IDP clock.
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Affiliation(s)
- Dorothee Dormann
- Biocenter, Johannes Gutenberg University, Mainz, Germany.
- Institute for Molecular Biology, Mainz, Germany.
| | - Edward Anton Lemke
- Biocenter, Johannes Gutenberg University, Mainz, Germany.
- Institute for Molecular Biology, Mainz, Germany.
- Institute for Quantitative and Computational Biosciences, Johannes Gutenberg University, Mainz, Germany.
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31
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Sakurai T, Sugimoto T, Akatsu H, Doi T, Fujiwara Y, Hirakawa A, Kinoshita F, Kuzuya M, Lee S, Matsumoto N, Matsuo K, Michikawa M, Nakamura A, Ogawa S, Otsuka R, Sato K, Shimada H, Suzuki H, Suzuki H, Takechi H, Takeda S, Uchida K, Umegaki H, Wakayama S, Arai H. Japan-Multimodal Intervention Trial for the Prevention of Dementia: A randomized controlled trial. Alzheimers Dement 2024; 20:3918-3930. [PMID: 38646854 PMCID: PMC11180858 DOI: 10.1002/alz.13838] [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: 12/07/2023] [Revised: 03/01/2024] [Accepted: 03/16/2024] [Indexed: 04/23/2024]
Abstract
INTRODUCTION We examined the efficacy of a multidomain intervention in preventing cognitive decline among Japanese older adults with mild cognitive impairment (MCI). METHODS Participants aged 65-85 years with MCI were randomized into intervention (management of vascular risk factors, exercise, nutritional counseling, and cognitive training) and control groups. The primary outcome was changes in the cognitive composite score over a period of 18 months. RESULTS Of 531 participants, 406 completed the trial. The between-group difference in composite score changes was 0.047 (95% CI: -0.029 to 0.124). Secondary analyses indicated positive impacts of interventions on several secondary health outcomes. The interventions appeared to be particularly effective for individuals with high attendance during exercise sessions and those with the apolipoprotein E ε4 allele and elevated plasma glial fibrillary acidic protein levels. DISCUSSION The multidomain intervention showed no efficacy in preventing cognitive decline. Further research on more efficient strategies and suitable target populations is required. HIGHLIGHTS This trial evaluated the efficacy of multidomain intervention in individuals with MCI. The trial did not show a significant difference in preplanned cognitive outcomes. Interventions had positive effects on a wide range of secondary health outcomes. Those with adequate adherence or high risk of dementia benefited from interventions.
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Affiliation(s)
- Takashi Sakurai
- Research InstituteNational Center for Geriatrics and GerontologyObuAichiJapan
- Department of Prevention and Care ScienceResearch InstituteNational Center for Geriatrics and GerontologyObuAichiJapan
- Department of Cognition and Behavior ScienceNagoya University Graduate School of MedicineNagoyaAichiJapan
| | - Taiki Sugimoto
- Department of Prevention and Care ScienceResearch InstituteNational Center for Geriatrics and GerontologyObuAichiJapan
- Department of MedicineUniversity of WashingtonSeattleWashingtonUSA
| | - Hiroyasu Akatsu
- Department of General Medicine and General Internal MedicineNagoya City University Graduate School of MedicineNagoyaAichiJapan
| | - Takehiko Doi
- Department of Preventive GerontologyResearch InstituteNational Center for Geriatrics and GerontologyObuAichiJapan
| | - Yoshinori Fujiwara
- Tokyo Metropolitan Institute for Geriatrics and GerontologyItabashi‐kuTokyoJapan
| | - Akihiro Hirakawa
- Department of Clinical BiostatisticsGraduate School of Medical and Dental SciencesTokyo Medical and Dental UniversityBunkyo‐kuTokyoJapan
| | - Fumie Kinoshita
- Department of Advanced MedicineNagoya University HospitalNagoyaAichiJapan
| | | | - Sangyoon Lee
- Department of Preventive GerontologyResearch InstituteNational Center for Geriatrics and GerontologyObuAichiJapan
- Department of ResearchObu Center for Dementia Care Research and PracticeObuAichiJapan
| | - Nanae Matsumoto
- Department of Prevention and Care ScienceResearch InstituteNational Center for Geriatrics and GerontologyObuAichiJapan
| | - Koichiro Matsuo
- Department of Oral Health Sciences for Community WelfareGraduate School of Medical and Dental SciencesTokyo Medical and Dental UniversityBunkyo‐kuTokyoJapan
| | - Makoto Michikawa
- Department of Geriatric MedicineSchool of Life Dentistry at NiigataThe Nippon Dental UniversityNiigataJapan
| | - Akinori Nakamura
- Department of Biomarker ResearchResearch InstituteNational Center for Geriatrics and GerontologyObuAichiJapan
| | - Susumu Ogawa
- Research Team for Social Participation and Healthy AgingTokyo Metropolitan Institute for Geriatrics and GerontologyItabashi‐kuTokyoJapan
| | - Rei Otsuka
- Department of Epidemiology of AgingResearch InstituteNational Center for Geriatrics and GerontologyObuAichiJapan
| | - Kenji Sato
- Department of Rehabilitation MedicineHospital, National Center for Geriatrics and GerontologyObuAichiJapan
| | - Hiroyuki Shimada
- Center for Gerontology and Social ScienceResearch InstituteNational Center for Geriatrics and GerontologyObuAichiJapan
| | - Hiroko Suzuki
- Well Aging DivisionSompo Care Inc.Shinagawa‐kuTokyoJapan
| | - Hiroyuki Suzuki
- Research Team for Social Participation and Healthy AgingTokyo Metropolitan Institute for Geriatrics and GerontologyItabashi‐kuTokyoJapan
| | - Hajime Takechi
- Department of Geriatrics and Cognitive DisordersSchool of MedicineFujita Health UniversityToyoakeAichiJapan
| | - Shinya Takeda
- Department of Clinical PsychologyTottori University Graduate School of Medical SciencesYonagoTottoriJapan
| | - Kazuaki Uchida
- Department of Prevention and Care ScienceResearch InstituteNational Center for Geriatrics and GerontologyObuAichiJapan
| | - Hiroyuki Umegaki
- Department of Community Healthcare and GeriatricsNagoya University Graduate School of MedicineNagoyaAichiJapan
| | - Satomu Wakayama
- Department of Rehabilitation MedicineHospital, National Center for Geriatrics and GerontologyObuAichiJapan
- Innovation for Aging & Wellness DepartmentSompo Holdings, Inc.Shinagawa‐KuTokyoJapan
| | - Hidenori Arai
- National Center for Geriatrics and GerontologyObuAichiJapan
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Wang L, Lu Y, Liu J, Wang S, Fei Z, Zhang K, Zhang D, Jin X. Gegen Qinlian tablets delay Alzheimer's disease progression via inhibiting glial neuroinflammation and remodeling gut microbiota homeostasis. PHYTOMEDICINE : INTERNATIONAL JOURNAL OF PHYTOTHERAPY AND PHYTOPHARMACOLOGY 2024; 128:155394. [PMID: 38569294 DOI: 10.1016/j.phymed.2024.155394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 01/11/2024] [Accepted: 01/24/2024] [Indexed: 04/05/2024]
Abstract
BACKGROUND Current therapeutic agents for AD have limited efficacy and often induce undesirable side effects. Gegen Qinlian tablets (GGQLT) are a well-known clearingheat formula used in clinical treatment of inflammatory diseases. Based on traditional Chinese medicine (TCM) theory, the strategy of clearing-heat is then compatible with the treatment of AD. However, it remains unknown whether GGQLT can exert neuroprotective effects and alleviate neuroinflammation in AD. PURPOSE This study aimed to evaluate the anti-AD effects of GGQLT and to decipher its intricate mechanism using integrative analyses of network pharmacology, transcriptomic RNA sequencing, and gut microbiota. METHODS The ingredients of GGQLT were analyzed using HPLC-ESI-Q/TOF-MS. The AD model was established by bilateral injection of Aβ1-42 into the intracerebroventricular space of rats. The Morris water maze was used to evaluate the cognitive function of the AD rats. The long-term toxicity of GGQLT in rats was assessed by monitoring their body weights and pathological alterations in the liver and kidney. Reactive astrocytes and microglia were assessed by immunohistochemistry by labeling GFAP and Iba-1. The levels of inflammatory cytokines in the hippocampus were evaluated using ELISA kits, RT-PCR, and Western blot, respectively. The potential anti-AD mechanism was predicted by analyses of RNA-sequencing and network pharmacology. Western blot and immunohistochemistry were utilized to detect the phosphorylation levels of IκBα, NF-κB p65, p38, ERK and JNK. The richness and composition of gut bacterial and fungal microflora were investigated via 16S rRNA and ITS sequencing. RESULTS Typical ingredients of GGQLT were identified using HPLC-ESI-Q/TOF-MS. GGQLT significantly improved the cognitive function of AD rats by suppressing the activation of microglia and astrocytes, improving glial morphology, and reducing the neuroinflammatory reactions in the hippocampus. RNA-sequencing, network and experimental pharmacological studies demonstrated that GGQLT inhibited the activation of NF-κB/MAPK signaling pathways in the hippocampus. GGQLT could also restore abnormal gut bacterial and fungal homeostasis and no longer-term toxicity of GGQLT was observed. CONCLUSIONS Our findings, for the first time, demonstrate GGQLT exhibit anti-AD effects and is worthy of further exploration and development.
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Affiliation(s)
- Lin Wang
- School of Pharmacy, China Medical University, No.77 of Puhe Road, Shenyang North New Area, Shenyang 110122, China
| | - Ye Lu
- School of Pharmacy, China Medical University, No.77 of Puhe Road, Shenyang North New Area, Shenyang 110122, China
| | - Jiamei Liu
- Department of Pathology, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, China
| | - Siyi Wang
- The 1st Clinical Department, China Medical University, Shenyang 110122, China
| | - Zepeng Fei
- School of Pharmacy, China Medical University, No.77 of Puhe Road, Shenyang North New Area, Shenyang 110122, China
| | - Kaiwen Zhang
- School of Pharmacy, China Medical University, No.77 of Puhe Road, Shenyang North New Area, Shenyang 110122, China
| | - Dongfang Zhang
- School of Pharmacy, China Medical University, No.77 of Puhe Road, Shenyang North New Area, Shenyang 110122, China.
| | - Xin Jin
- School of Pharmacy, China Medical University, No.77 of Puhe Road, Shenyang North New Area, Shenyang 110122, China.
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Glaesser D, Iwig M. Increased molar ratio of free fatty acids to albumin in blood as cause and early biomarker for the development of cataracts and Alzheimer's disease. Exp Eye Res 2024; 243:109888. [PMID: 38583754 DOI: 10.1016/j.exer.2024.109888] [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: 10/25/2023] [Revised: 03/29/2024] [Accepted: 04/04/2024] [Indexed: 04/09/2024]
Abstract
Cataracts and Alzheimer's disease (AD) are closely linked and are associated with aging and with systemic diseases that increase the molar ratio of free fatty acids to albumin (mFAR) in the blood. From the results of our earlier studies on the development of senile cataracts and from results recently published in the literature on the pathogenesis of Alzheimer's disease, we suggest that there is a common lipotoxic cascade for both diseases, explaining the strong connection between aging, an elevated mFAR in the blood, cataract formation, and AD. Long-chain free fatty acids (FFA) are transported in the blood as FFA/albumin complexes. In young people, vascular albumin barriers in the eyes and brain, very similar in their structure and effect, reduce the FFA/albumin complex concentration from around 650 μmol/l in the blood to 1-3 μmol/l in the aqueous humour of the eyes as well as in the cerebrospinal fluid of the brain. At such low concentrations the fatty acid uptake of the target cells - lens epithelial and brain cells - rises with increasing FFA/albumin complex concentrations, especially when the fatty acid load of albumin molecules is mFAR>1. At higher albumin concentrations, for instance in blood plasma or the interstitial tissue spaces, the fatty acid uptake of the target cells becomes increasingly independent of the FFA/albumin complex concentration and is mainly a function of the mFAR (Richieri et al., 1993). In the blood plasma of young people, the mFAR is normally below 1.0. In people over 40 years old, aging increases the mFAR by decreasing the plasma concentration of albumin and enhancing the plasma concentrations of FFA. The increase in the mFAR in association with C6-unsaturated FFA are risk factors for the vascular albumin barriers (Hennig et al., 1984). Damage to the vascular albumin barrier in the eyes and brain increases the concentration of FFA/albumin complex in the aqueous humour as well as in the cerebrospinal fluid, leading to mitochondrial dysfunction and the death of lens epithelial and brain cells, the development of cataracts, and AD. An age-dependent increase in the concentration of FFA/albumin complex has been found in the aqueous humour of 177 cataract patients, correlating with the mitochondria-mediated apoptotic death of lens epithelial cells, lens opacification and cataracts (Iwig et al., 2004). Mitochondrial dysfunction is also an early crucial event in Alzheimer's pathology, closely connected with the generation of amyloid beta peptides (Leuner et al., 2012). Very recently, amyloid beta production has also been confirmed in the lenses of Alzheimer's patients, causing cataracts (Moncaster et al., 2022). In view of this, we propose that there is a common lipotoxic cascade for senile cataract formation and senile AD, initiated by aging and/or systemic diseases, leading to an mFAR>1 in the blood.
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Affiliation(s)
- Dietmar Glaesser
- Institute of Physiological Chemistry, Martin-Luther-University Halle-Wittenberg, D-06097, Halle, Germany.
| | - Martin Iwig
- Institute of Physiological Chemistry, Martin-Luther-University Halle-Wittenberg, D-06097, Halle, Germany
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Zahr NM. Alcohol Use Disorder and Dementia: A Review. Alcohol Res 2024; 44:03. [PMID: 38812709 PMCID: PMC11135165 DOI: 10.35946/arcr.v44.1.03] [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: 05/31/2024] Open
Abstract
PURPOSE By 2040, 21.6% of Americans will be over age 65, and the population of those older than age 85 is estimated to reach 14.4 million. Although not causative, older age is a risk factor for dementia: every 5 years beyond age 65, the risk doubles; approximately one-third of those older than age 85 are diagnosed with dementia. As current alcohol consumption among older adults is significantly higher compared to previous generations, a pressing question is whether drinking alcohol increases the risk for Alzheimer's disease or other forms of dementia. SEARCH METHODS Databases explored included PubMed, Web of Science, and ScienceDirect. To accomplish this narrative review on the effects of alcohol consumption on dementia risk, the literature covered included clinical diagnoses, epidemiology, neuropsychology, postmortem pathology, neuroimaging and other biomarkers, and translational studies. Searches conducted between January 12 and August 1, 2023, included the following terms and combinations: "aging," "alcoholism," "alcohol use disorder (AUD)," "brain," "CNS," "dementia," "Wernicke," "Korsakoff," "Alzheimer," "vascular," "frontotemporal," "Lewy body," "clinical," "diagnosis," "epidemiology," "pathology," "autopsy," "postmortem," "histology," "cognitive," "motor," "neuropsychological," "magnetic resonance," "imaging," "PET," "ligand," "degeneration," "atrophy," "translational," "rodent," "rat," "mouse," "model," "amyloid," "neurofibrillary tangles," "α-synuclein," or "presenilin." When relevant, "species" (i.e., "humans" or "other animals") was selected as an additional filter. Review articles were avoided when possible. SEARCH RESULTS The two terms "alcoholism" and "aging" retrieved about 1,350 papers; adding phrases-for example, "postmortem" or "magnetic resonance"-limited the number to fewer than 100 papers. Using the traditional term, "alcoholism" with "dementia" resulted in 876 citations, but using the currently accepted term "alcohol use disorder (AUD)" with "dementia" produced only 87 papers. Similarly, whereas the terms "Alzheimer's" and "alcoholism" yielded 318 results, "Alzheimer's" and "alcohol use disorder (AUD)" returned only 40 citations. As pertinent postmortem pathology papers were published in the 1950s and recent animal models of Alzheimer's disease were created in the early 2000s, articles referenced span the years 1957 to 2024. In total, more than 5,000 articles were considered; about 400 are herein referenced. DISCUSSION AND CONCLUSIONS Chronic alcohol misuse accelerates brain aging and contributes to cognitive impairments, including those in the mnemonic domain. The consensus among studies from multiple disciplines, however, is that alcohol misuse can increase the risk for dementia, but not necessarily Alzheimer's disease. Key issues to consider include the reversibility of brain damage following abstinence from chronic alcohol misuse compared to the degenerative and progressive course of Alzheimer's disease, and the characteristic presence of protein inclusions in the brains of people with Alzheimer's disease, which are absent in the brains of those with AUD.
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Affiliation(s)
- Natalie M Zahr
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California. Center for Health Sciences, SRI International, Menlo Park, California
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Chen Y, Wang Y, Tao Q, Lu P, Meng F, Zhuang L, Qiao S, Zhang Y, Luo B, Liu Y, Peng G. Diagnostic value of isolated plasma biomarkers and its combination in neurodegenerative dementias: A multicenter cohort study. Clin Chim Acta 2024; 558:118784. [PMID: 38588788 DOI: 10.1016/j.cca.2024.118784] [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: 10/18/2023] [Revised: 03/17/2024] [Accepted: 04/03/2024] [Indexed: 04/10/2024]
Abstract
BACKGROUND Plasma amyloid-β (Aβ), phosphorylated tau-181 (p-tau181), neurofilament light (NfL) and glial fibrillary acidic protein (GFAP) potentially aid in the diagnosis of neurodegenerative dementias. We aim to conduct a comprehensive comparison between different biomarkers and their combination, which is lacking, in a multicenter Chinese dementia cohort consisting of Alzheimer's disease (AD), frontotemporal dementia (FTD), and progressive supranuclear palsy (PSP). METHODS We enrolled 92 demented patients [64 AD, 16 FTD, and 12 PSP with dementia] and 20 healthy controls (HC). Their plasma Αβ, p-tau181, NfL, and GFAP were detected by highly sensitive-single molecule immunoassays. Αβ pathology in patients was measured by cerebrospinal fluid or/and amyloid positron emission tomography. RESULTS All plasma biomarkers tested were significantly altered in dementia patients compared with HC, especially Aβ42/Aβ40 and NfL showed significant performance in distinguishing AD from HC. A combination of plasma Aβ42/Aβ40, p-tau181, NfL, and GFAP could discriminate FTD or PSP well from HC and was able to distinguish AD and non-AD (FTD/PSP). CONCLUSIONS Our results confirmed the diagnostic performance of individual plasma biomarkers Aβ42/Aβ40, p-tau181, NfL, and GFAP in Chinese dementia patients and noted that a combination of these biomarkers may be more accurate in identifying FTD/PSP patients and distinguishing AD from non-AD dementia.
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Affiliation(s)
- Yi Chen
- Department of Neurology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yunyun Wang
- Department of Neurology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Department of Neurology, Shengzhou People's Hospital, Shaoxing, China
| | - Qingqing Tao
- Department of Neurology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Peilin Lu
- Department of Neurology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Fanxia Meng
- Department of Neurology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Liying Zhuang
- Department of Neurology, the Affiliated Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Song Qiao
- Department of Neurology, the Affiliated Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ying Zhang
- Department of Geriatrics, Tongde Hospital of Zhejiang Province, Hangzhou, China
| | - Benyan Luo
- Department of Neurology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Yang Liu
- Department of Neurology, Saarland University, KirrbergerstraBe Geb., 90D-66421 Homburg/Sarr, German.
| | - Guoping Peng
- Department of Neurology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
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Yakoub Y, Gonzalez-Ortiz F, Ashton NJ, Déry C, Strikwerda-Brown C, St-Onge F, Ourry V, Schöll M, Geddes MR, Ducharme S, Montembeault M, Rosa-Neto P, Soucy JP, Breitner JCS, Zetterberg H, Blennow K, Poirier J, Villeneuve S. Plasma p-tau217 predicts cognitive impairments up to ten years before onset in normal older adults. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.09.24307120. [PMID: 38766113 PMCID: PMC11100946 DOI: 10.1101/2024.05.09.24307120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
Importance Positron emission tomography (PET) biomarkers are the gold standard for detection of Alzheimer amyloid and tau in vivo . Such imaging can identify cognitively unimpaired (CU) individuals who will subsequently develop cognitive impartment (CI). Plasma biomarkers would be more practical than PET or even cerebrospinal fluid (CSF) assays in clinical settings. Objective Assess the prognostic accuracy of plasma p-tau217 in comparison to CSF and PET biomarkers for predicting the clinical progression from CU to CI. Design In a cohort of elderly at high risk of developing Alzheimer's dementia (AD), we measured the proportion of CU individuals who developed CI, as predicted by Aβ (A+) and/or tau (T+) biomarker assessment from plasma, CSF, and PET. Results from each method were compared with (A-T-) reference individuals. Data were analyzed from June 2023 to April 2024. Setting Longitudinal observational cohort. Participants Some 228 participants from the PREVENT-AD cohort were CU at the time of biomarker assessment and had 1 - 10 years of follow-up. Plasma was available from 215 participants, CSF from 159, and amyloid- and tau-PET from 155. Ninety-three participants had assessment using all three methods (main group of interest). Progression to CI was determined by clinical consensus among physicians and neuropsychologists who were blind to plasma, CSF, PET, and MRI findings, as well as APOE genotype. Exposures Plasma Aβ 42/40 was measured using IP-MS; CSF Aβ 42/40 using Lumipulse; plasma and CSF p-tau217 using UGOT assay. Aβ-PET employed the 18 F-NAV4694 ligand, and tau-PET used 18 F-flortaucipir. Main Outcome Prognostic accuracy of plasma, CSF, and PET biomarkers for predicting the development of CI in CU individuals. Results Cox proportional hazard models indicated a greater progression rate in all A+T+ groups compared to A-T-groups (HR = 6.61 [95% CI = 2.06 - 21.17] for plasma, 3.62 [1.49 - 8.81] for CSF and 9.24 [2.34 - 36.43] for PET). The A-T+ groups were small, but also characterized with individuals who developed CI. Plasma biomarkers identified about five times more T+ than PET. Conclusion and relevance Plasma p-tau217 assessment is a practical method for identification of persons who will develop cognitive impairment up to 10 years later. Key Points Question: Can plasma p-tau217 serve as a prognostic indicator for identifying cognitively unimpaired (CU) individuals at risk of developing cognitive impairments (CI)?Findings: In a longitudinal cohort of CU individuals with a family history of sporadic AD, almost all individuals with abnormal plasma p-tau217 concentrations developed CI within 10 years, regardless of plasma amyloid levels. Similar findings were obtained with CSF p-tau217 and tau-PET. Fluid p-tau217 biomarkers had the main advantage over PET of identifying five times more participants with elevated tau.Meaning: Elevated plasma p-tau217 levels in CU individuals strongly indicate future clinical progression.
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Zheng H, Sun H, Cai Q, Tai HC. The Enigma of Tau Protein Aggregation: Mechanistic Insights and Future Challenges. Int J Mol Sci 2024; 25:4969. [PMID: 38732197 PMCID: PMC11084794 DOI: 10.3390/ijms25094969] [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: 03/30/2024] [Revised: 04/20/2024] [Accepted: 04/23/2024] [Indexed: 05/13/2024] Open
Abstract
Tau protein misfolding and aggregation are pathological hallmarks of Alzheimer's disease and over twenty neurodegenerative disorders. However, the molecular mechanisms of tau aggregation in vivo remain incompletely understood. There are two types of tau aggregates in the brain: soluble aggregates (oligomers and protofibrils) and insoluble filaments (fibrils). Compared to filamentous aggregates, soluble aggregates are more toxic and exhibit prion-like transmission, providing seeds for templated misfolding. Curiously, in its native state, tau is a highly soluble, heat-stable protein that does not form fibrils by itself, not even when hyperphosphorylated. In vitro studies have found that negatively charged molecules such as heparin, RNA, or arachidonic acid are generally required to induce tau aggregation. Two recent breakthroughs have provided new insights into tau aggregation mechanisms. First, as an intrinsically disordered protein, tau is found to undergo liquid-liquid phase separation (LLPS) both in vitro and inside cells. Second, cryo-electron microscopy has revealed diverse fibrillar tau conformations associated with different neurodegenerative disorders. Nonetheless, only the fibrillar core is structurally resolved, and the remainder of the protein appears as a "fuzzy coat". From this review, it appears that further studies are required (1) to clarify the role of LLPS in tau aggregation; (2) to unveil the structural features of soluble tau aggregates; (3) to understand the involvement of fuzzy coat regions in oligomer and fibril formation.
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Affiliation(s)
| | | | | | - Hwan-Ching Tai
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, School of Public Health, Xiamen University, Xiamen 361102, China
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Dark HE, Duggan MR, Walker KA. Plasma biomarkers for Alzheimer's and related dementias: A review and outlook for clinical neuropsychology. Arch Clin Neuropsychol 2024; 39:313-324. [PMID: 38520383 DOI: 10.1093/arclin/acae019] [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: 02/02/2024] [Accepted: 02/05/2024] [Indexed: 03/25/2024] Open
Abstract
Recent technological advances have improved the sensitivity and specificity of blood-based biomarkers for Alzheimer's disease and related dementias. Accurate quantification of amyloid-ß peptide, phosphorylated tau (pTau) isoforms, as well as markers of neurodegeneration (neurofilament light chain [NfL]) and neuro-immune activation (glial fibrillary acidic protein [GFAP] and chitinase-3-like protein 1 [YKL-40]) in blood has allowed researchers to characterize neurobiological processes at scale in a cost-effective and minimally invasive manner. Although currently used primarily for research purposes, these blood-based biomarkers have the potential to be highly impactful in the clinical setting - aiding in diagnosis, predicting disease risk, and monitoring disease progression. Whereas plasma NfL has shown promise as a non-specific marker of neuronal injury, plasma pTau181, pTau217, pTau231, and GFAP have demonstrated desirable levels of sensitivity and specificity for identification of individuals with Alzheimer's disease pathology and Alzheimer's dementia. In this forward looking review, we (i) provide an overview of the most commonly used blood-based biomarkers for Alzheimer's disease and related dementias, (ii) discuss how comorbid medical conditions, demographic, and genetic factors can inform the interpretation of these biomarkers, (iii) describe ongoing efforts to move blood-based biomarkers into the clinic, and (iv) highlight the central role that clinical neuropsychologists may play in contextualizing and communicating blood-based biomarker results for patients.
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Affiliation(s)
- Heather E Dark
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Intramural Research Program, Baltimore, MD, USA
| | - Michael R Duggan
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Intramural Research Program, Baltimore, MD, USA
| | - Keenan A Walker
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Intramural Research Program, Baltimore, MD, USA
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van Gils AM, Rhodius-Meester HFM, Handgraaf D, Hendriksen HMA, van Strien A, Schoonenboom N, Schipper A, Kleijer M, Griffioen A, Muller M, Tolonen A, Lötjönen J, van der Flier WM, Visser LNC. Use of a digital tool to support the diagnostic process in memory clinics-a usability study. Alzheimers Res Ther 2024; 16:75. [PMID: 38589933 PMCID: PMC11003066 DOI: 10.1186/s13195-024-01433-8] [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: 10/27/2023] [Accepted: 03/21/2024] [Indexed: 04/10/2024]
Abstract
BACKGROUND Both memory clinic professionals and patients see value in digital tools, yet these hardly find their way to clinical practice. We explored the usability of a digital tool to support the diagnostic work-up in daily memory clinic practice. We evaluated four modules that integrate multi-modal patient data (1.cognitive test; cCOG, and 2. MRI quantification; cMRI) into useful diagnostic information for clinicians (3. cDSI) and understandable and personalized information for patients (4. patient report). METHODS We conducted a mixed-methods study in five Dutch memory clinics. Fourteen clinicians (11 geriatric specialists/residents, two neurologists, one nurse practitioner) were invited to integrate the tool into routine care with 43 new memory clinic patients. We evaluated usability and user experiences through quantitative data from questionnaires (patients, care partners, clinicians), enriched with thematically analyzed qualitative data from interviews (clinicians). RESULTS We observed wide variation in tool use among clinicians. Our core findings were that clinicians: 1) were mainly positive about the patient report, since it contributes to patient-centered and personalized communication. This was endorsed by patients and care partners, who indicated that the patient report was useful and understandable and helped them to better understand their diagnosis, 2) considered the tool acceptable in addition to their own clinical competence, 3) indicated that the usefulness of the tool depended on the patient population and purpose of the diagnostic process, 4) addressed facilitators (ease of use, practice makes perfect) and barriers (high workload, lack of experience, data unavailability). CONCLUSION This multicenter usability study revealed a willingness to adopt a digital tool to support the diagnostic process in memory clinics. Clinicians, patients, and care partners appreciated the personalized diagnostic report. More attention to education and training of clinicians is needed to utilize the full functionality of the tool and foster implementation in actual daily practice. These findings provide an important step towards a lasting adoption of digital tools in memory clinic practice.
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Affiliation(s)
- Aniek M van Gils
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
- Amsterdam Neuroscience Neurodegeneration, Amsterdam, The Netherlands.
| | - Hanneke F M Rhodius-Meester
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Amsterdam Neuroscience Neurodegeneration, Amsterdam, The Netherlands
- Department of Geriatric Medicine, The Memory Clinic, Oslo University Hospital, Oslo, Norway
- Department of Internal Medicine, Geriatric Medicine Section, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
| | - Dédé Handgraaf
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Amsterdam Neuroscience Neurodegeneration, Amsterdam, The Netherlands
| | - Heleen M A Hendriksen
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Amsterdam Neuroscience Neurodegeneration, Amsterdam, The Netherlands
| | - Astrid van Strien
- Department of Geriatric medicine, Jeroen Bosch Ziekenhuis, Den Bosch, The Netherlands
| | | | - Annemieke Schipper
- Department of Neurology, HagaZiekenhuis, location Zoetermeer, Zoetermeer, The Netherlands
| | - Mariska Kleijer
- Department of Neurology, HagaZiekenhuis, location Zoetermeer, Zoetermeer, The Netherlands
| | - Annemiek Griffioen
- Department of Internal Medicine, Geriatric Medicine Section, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
| | - Majon Muller
- Department of Internal Medicine, Geriatric Medicine Section, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
| | | | | | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Amsterdam Neuroscience Neurodegeneration, Amsterdam, The Netherlands
- Department of Epidemiology and Data Sciences, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Leonie N C Visser
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Amsterdam Neuroscience Neurodegeneration, Amsterdam, The Netherlands
- Department of Medical Psychology, Amsterdam UMC location University of Amsterdam/AMC, Amsterdam, The Netherlands
- Amsterdam Public Health, Quality of Care, Amsterdam, The Netherlands
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
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Toniolo S, Zhao S, Scholcz A, Amein B, Ganse‐Dumrath A, Heslegrave AJ, Thompson S, Manohar S, Zetterberg H, Husain M. Relationship of plasma biomarkers to digital cognitive tests in Alzheimer's disease. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2024; 16:e12590. [PMID: 38623387 PMCID: PMC11016819 DOI: 10.1002/dad2.12590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 03/19/2024] [Accepted: 03/21/2024] [Indexed: 04/17/2024]
Abstract
INTRODUCTION A major limitation in Alzheimer's disease (AD) research is the lack of the ability to measure cognitive performance at scale-robustly, remotely, and frequently. Currently, there are no established online digital platforms validated against plasma biomarkers of AD. METHODS We used a novel web-based platform that assessed different cognitive functions in AD patients (N = 46) and elderly controls (N = 53) who were also evaluated for plasma biomarkers (amyloid beta 42/40 ratio, phosphorylated tau ([p-tau]181, glial fibrillary acidic protein, neurofilament light chain). Their cognitive performance was compared to a second, larger group of elderly controls (N = 352). RESULTS Patients with AD were significantly impaired across all digital cognitive tests, with performance correlating with plasma biomarker levels, particularly p-tau181. The combination of p-tau181 and the single best-performing digital test achieved high accuracy in group classification. DISCUSSION These findings show how online testing can now be deployed in patients with AD to measure cognitive function effectively and related to blood biomarkers of the disease. Highlights This is the first study comparing online digital testing to plasma biomarkers.Alzheimer's disease patients and two independent cohorts of elderly controls were assessed.Cognitive performance correlated with plasma biomarkers, particularly phosphorylated tau (p-tau)181.Glial fibrillary acidic protein and neurofilament light chain, and less so the amyloid beta 42/40 ratio, were also associated with performance.The best cognitive metric performed at par to p-tau181 in group classification.
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Affiliation(s)
- Sofia Toniolo
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUK
- Cognitive Disorders ClinicJR HospitalOxfordUK
| | - Sijia Zhao
- Department of Experimental PsychologyUniversity of OxfordOxfordUK
| | - Anna Scholcz
- Department of Experimental PsychologyUniversity of OxfordOxfordUK
| | - Benazir Amein
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUK
| | - Akke Ganse‐Dumrath
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUK
| | - Amanda J. Heslegrave
- UK Dementia Research InstituteUCLLondonUK
- Department of Neurodegenerative DiseaseUCL Institute of NeurologyLondonUK
| | | | - Sanjay Manohar
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUK
- Cognitive Disorders ClinicJR HospitalOxfordUK
- Department of Experimental PsychologyUniversity of OxfordOxfordUK
| | - Henrik Zetterberg
- UK Dementia Research InstituteUCLLondonUK
- Department of Neurodegenerative DiseaseUCL Institute of NeurologyLondonUK
- Institute of Neuroscience and PhysiologyUniversity of GothenburgGothenburgSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
- Hong Kong Center for Neurodegenerative DiseasesHong KongChina
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Masud Husain
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUK
- Cognitive Disorders ClinicJR HospitalOxfordUK
- Department of Experimental PsychologyUniversity of OxfordOxfordUK
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Barthélemy NR, Salvadó G, Schindler SE, He Y, Janelidze S, Collij LE, Saef B, Henson RL, Chen CD, Gordon BA, Li Y, La Joie R, Benzinger TLS, Morris JC, Mattsson-Carlgren N, Palmqvist S, Ossenkoppele R, Rabinovici GD, Stomrud E, Bateman RJ, Hansson O. Highly accurate blood test for Alzheimer's disease is similar or superior to clinical cerebrospinal fluid tests. Nat Med 2024; 30:1085-1095. [PMID: 38382645 PMCID: PMC11031399 DOI: 10.1038/s41591-024-02869-z] [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: 10/24/2023] [Accepted: 02/12/2024] [Indexed: 02/23/2024]
Abstract
With the emergence of Alzheimer's disease (AD) disease-modifying therapies, identifying patients who could benefit from these treatments becomes critical. In this study, we evaluated whether a precise blood test could perform as well as established cerebrospinal fluid (CSF) tests in detecting amyloid-β (Aβ) plaques and tau tangles. Plasma %p-tau217 (ratio of phosporylated-tau217 to non-phosphorylated tau) was analyzed by mass spectrometry in the Swedish BioFINDER-2 cohort (n = 1,422) and the US Charles F. and Joanne Knight Alzheimer Disease Research Center (Knight ADRC) cohort (n = 337). Matched CSF samples were analyzed with clinically used and FDA-approved automated immunoassays for Aβ42/40 and p-tau181/Aβ42. The primary and secondary outcomes were detection of brain Aβ or tau pathology, respectively, using positron emission tomography (PET) imaging as the reference standard. Main analyses were focused on individuals with cognitive impairment (mild cognitive impairment and mild dementia), which is the target population for available disease-modifying treatments. Plasma %p-tau217 was clinically equivalent to FDA-approved CSF tests in classifying Aβ PET status, with an area under the curve (AUC) for both between 0.95 and 0.97. Plasma %p-tau217 was generally superior to CSF tests in classification of tau-PET with AUCs of 0.95-0.98. In cognitively impaired subcohorts (BioFINDER-2: n = 720; Knight ADRC: n = 50), plasma %p-tau217 had an accuracy, a positive predictive value and a negative predictive value of 89-90% for Aβ PET and 87-88% for tau PET status, which was clinically equivalent to CSF tests, further improving to 95% using a two-cutoffs approach. Blood plasma %p-tau217 demonstrated performance that was clinically equivalent or superior to clinically used FDA-approved CSF tests in the detection of AD pathology. Use of high-performance blood tests in clinical practice can improve access to accurate AD diagnosis and AD-specific treatments.
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Affiliation(s)
- Nicolas R Barthélemy
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Tracy Family Stable Isotope Labeling Quantitation (SILQ) Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Gemma Salvadó
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden
| | - Suzanne E Schindler
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Charles F. and Joanne Knight Alzheimer Disease Research Center (Knight ADRC), Washington University School of Medicine, St. Louis, MO, USA
| | - Yingxin He
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Tracy Family Stable Isotope Labeling Quantitation (SILQ) Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Shorena Janelidze
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden
| | - Lyduine E Collij
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands
| | - Benjamin Saef
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Rachel L Henson
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Charles D Chen
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Brian A Gordon
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Yan Li
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Division of Biostatistics, Washington University in St. Louis, St. Louis, MO, USA
| | - Renaud La Joie
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Tammie L S Benzinger
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - John C Morris
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Charles F. and Joanne Knight Alzheimer Disease Research Center (Knight ADRC), Washington University School of Medicine, St. Louis, MO, USA
| | - Niklas Mattsson-Carlgren
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden
- Wallenberg Center for Molecular Medicine, Lund University, Lund, Sweden
- Department of Neurology, Skåne University Hospital, Lund University, Lund, Sweden
| | - Sebastian Palmqvist
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Rik Ossenkoppele
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC, location VUmc, Amsterdam, The Netherlands
| | - Gil D Rabinovici
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA
| | - Erik Stomrud
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Randall J Bateman
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA.
- Tracy Family Stable Isotope Labeling Quantitation (SILQ) Center, Washington University School of Medicine, St. Louis, MO, USA.
- Charles F. and Joanne Knight Alzheimer Disease Research Center (Knight ADRC), Washington University School of Medicine, St. Louis, MO, USA.
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden.
- Memory Clinic, Skåne University Hospital, Malmö, Sweden.
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42
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Blood-based biomarkers for Alzheimer's disease. Neuroscientist 2024; 30:155. [PMID: 38465455 DOI: 10.1177/10738584241236157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
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Therriault J, Ashton NJ, Pola I, Triana-Baltzer G, Brum WS, Di Molfetta G, Arslan B, Rahmouni N, Tissot C, Servaes S, Stevenson J, Macedo AC, Pascoal TA, Kolb HC, Jeromin A, Blennow K, Zetterberg H, Rosa-Neto P, Benedet AL. Comparison of two plasma p-tau217 assays to detect and monitor Alzheimer's pathology. EBioMedicine 2024; 102:105046. [PMID: 38471397 PMCID: PMC10943661 DOI: 10.1016/j.ebiom.2024.105046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 02/19/2024] [Accepted: 02/21/2024] [Indexed: 03/14/2024] Open
Abstract
BACKGROUND Blood-based biomarkers of Alzheimer's disease (AD) have become increasingly important as scalable tools for diagnosis and determining clinical trial eligibility. P-tau217 is the most promising due to its excellent sensitivity and specificity for AD-related pathological changes. METHODS We compared the performance of two commercially available plasma p-tau217 assays (ALZpath p-tau217 and Janssen p-tau217+) in 294 individuals cross-sectionally. Correlations with amyloid PET and tau PET were assessed, and Receiver Operating Characteristic (ROC) analyses evaluated both p-tau217 assays for identifying AD pathology. FINDINGS Both plasma p-tau217 assays were strongly associated with amyloid and tau PET. Furthermore, both plasma p-tau217 assays identified individuals with AD vs other neurodegenerative diseases (ALZpath AUC = 0.95; Janssen AUC = 0.96). Additionally, plasma p-tau217 concentrations rose with AD severity and their annual changes correlated with tau PET annual change. INTERPRETATION Both p-tau217 assays had excellent diagnostic performance for AD. Our study supports the future clinical use of commercially-available assays for p-tau217. FUNDING This research is supported by the Weston Brain Institute, Canadian Institutes of Health Research (CIHR), Canadian Consortium on Neurodegeneration in Aging, the Alzheimer's Association, Brain Canada Foundation, the Fonds de Recherche du Québec - Santé and the Colin J. Adair Charitable Foundation.
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Affiliation(s)
- Joseph Therriault
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre Intégré Universitaire de Santé et de Services Sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal, Montréal, Québec H4H 1R3, Canada; Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Quebec H3A 2B4, Canada
| | - Nicholas James Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal 6 431 41, Sweden; Wallenberg Centre for Molecular Medicine, University of Gothenburg, Gothenburg 6 431 41, Sweden; King's College London, Institute of Psychiatry, Psychology and Neuroscience, Maurice Wohl Institute Clinical Neuroscience Institute, London SE5 9RT, UK; NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS Foundation, London SE5 8AF, UK
| | - Ilaria Pola
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal 6 431 41, Sweden
| | | | - Wagner Scheeren Brum
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal 6 431 41, Sweden
| | - Guglielmo Di Molfetta
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal 6 431 41, Sweden
| | - Burak Arslan
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal 6 431 41, Sweden
| | - Nesrine Rahmouni
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre Intégré Universitaire de Santé et de Services Sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal, Montréal, Québec H4H 1R3, Canada; Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Quebec H3A 2B4, Canada
| | - Cecile Tissot
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre Intégré Universitaire de Santé et de Services Sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal, Montréal, Québec H4H 1R3, Canada; Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Quebec H3A 2B4, Canada
| | - Stijn Servaes
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre Intégré Universitaire de Santé et de Services Sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal, Montréal, Québec H4H 1R3, Canada; Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Quebec H3A 2B4, Canada
| | - Jenna Stevenson
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre Intégré Universitaire de Santé et de Services Sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal, Montréal, Québec H4H 1R3, Canada; Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Quebec H3A 2B4, Canada
| | - Arthur Cassa Macedo
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre Intégré Universitaire de Santé et de Services Sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal, Montréal, Québec H4H 1R3, Canada; Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Quebec H3A 2B4, Canada
| | - Tharick Ali Pascoal
- Department of Neurology and Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh 15213, USA
| | | | | | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal 6 431 41, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal 6 431 41, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal 6 431 41, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal 6 431 41, Sweden; Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK; UK Dementia Research Institute at UCL, London SE5 9RT, UK; Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong 1512, China; Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA
| | - Pedro Rosa-Neto
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre Intégré Universitaire de Santé et de Services Sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal, Montréal, Québec H4H 1R3, Canada; Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Quebec H3A 2B4, Canada
| | - Andrea Lessa Benedet
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal 6 431 41, Sweden.
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Lista S, Mapstone M, Caraci F, Emanuele E, López-Ortiz S, Martín-Hernández J, Triaca V, Imbimbo C, Gabelle A, Mielke MM, Nisticò R, Santos-Lozano A, Imbimbo BP. A critical appraisal of blood-based biomarkers for Alzheimer's disease. Ageing Res Rev 2024; 96:102290. [PMID: 38580173 DOI: 10.1016/j.arr.2024.102290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 03/18/2024] [Accepted: 03/31/2024] [Indexed: 04/07/2024]
Abstract
Biomarkers that predict the clinical onset of Alzheimer's disease (AD) enable the identification of individuals in the early, preclinical stages of the disease. Detecting AD at this point may allow for more effective therapeutic interventions and optimized enrollment for clinical trials of novel drugs. The current biological diagnosis of AD is based on the AT(N) classification system with the measurement of brain deposition of amyloid-β (Aβ) ("A"), tau pathology ("T"), and neurodegeneration ("N"). Diagnostic cut-offs for Aβ1-42, the Aβ1-42/Aβ1-40 ratio, tau and hyperphosphorylated-tau concentrations in cerebrospinal fluid have been defined and may support AD clinical diagnosis. Blood-based biomarkers of the AT(N) categories have been described in the AD continuum. Cross-sectional and longitudinal studies have shown that the combination of blood biomarkers tracking neuroaxonal injury (neurofilament light chain) and neuroinflammatory pathways (glial fibrillary acidic protein) enhance sensitivity and specificity of AD clinical diagnosis and improve the prediction of AD onset. However, no international accepted cut-offs have been identified for these blood biomarkers. A kit for blood Aβ1-42/Aβ1-40 is commercially available in the U.S.; however, it does not provide a diagnosis, but simply estimates the risk of developing AD. Although blood-based AD biomarkers have a great potential in the diagnostic work-up of AD, they are not ready for the routine clinical use.
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Affiliation(s)
- Simone Lista
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), Valladolid 47012, Spain.
| | - Mark Mapstone
- Department of Neurology, Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA 92697, USA.
| | - Filippo Caraci
- Department of Drug and Health Sciences, University of Catania, Catania 95125, Italy; Neuropharmacology and Translational Neurosciences Research Unit, Oasi Research Institute-IRCCS, Troina 94018, Italy.
| | | | - Susana López-Ortiz
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), Valladolid 47012, Spain.
| | - Juan Martín-Hernández
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), Valladolid 47012, Spain.
| | - Viviana Triaca
- Institute of Biochemistry and Cell Biology (IBBC), National Research Council (CNR), Rome 00015, Italy.
| | - Camillo Imbimbo
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia 27100, Italy.
| | - Audrey Gabelle
- Memory Resources and Research Center, Montpellier University of Excellence i-site, Montpellier 34295, France.
| | - Michelle M Mielke
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC 27101, USA.
| | - Robert Nisticò
- School of Pharmacy, University of Rome "Tor Vergata", Rome 00133, Italy; Laboratory of Pharmacology of Synaptic Plasticity, EBRI Rita Levi-Montalcini Foundation, Rome 00143, Italy.
| | - Alejandro Santos-Lozano
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), Valladolid 47012, Spain; Physical Activity and Health Research Group (PaHerg), Research Institute of the Hospital 12 de Octubre ('imas12'), Madrid 28041, Spain.
| | - Bruno P Imbimbo
- Department of Research and Development, Chiesi Farmaceutici, Parma 43122, Italy.
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Mu Y, Chang KX, Chen YF, Yan K, Wang CX, Hua Q. Diagnosis of Alzheimer's disease: Towards accuracy and accessibility. J Biol Methods 2024; 11:e99010010. [PMID: 38988499 PMCID: PMC11231050 DOI: 10.14440/jbm.2024.412] [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: 10/16/2023] [Revised: 12/23/2023] [Accepted: 12/25/2023] [Indexed: 07/12/2024] Open
Abstract
Alzheimer's disease (AD) is a serious dementia afflicting aging population and is characterized by cognitive decline, amyloid-β plaques, and neurofibrillary tangles. AD substantially impairs the life quality of the victims and poses a heavy burden on the society at large. The number of people with dementia due to AD, prodromal AD, and preclinical AD is estimated to stand at roughly 3.2, 69, and 315 million worldwide, respectively. Current clinical diagnosis is based on clinical symptoms, and clinical research demonstrated that positron emission tomography (PET) and cerebrospinal fluid (CSF) biomarkers had excellent diagnostic performance. However, the application of CSF biomarker tests and PET are restricted by the invasiveness and high cost. The presence of clinical symptoms means that AD pathology has been progressing for many years, and only a few drugs have been approved for the traetemnt of AD. Therefore, early diagnosis is extremely important for controlling the outcomes caused by AD. In this review, we provided an overview of developing clinical diagnostic criteria, diagnostic strategies under clinical research, developing blood based-biomarker assays, and promising nanotechnologically-based assays.
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Affiliation(s)
- Yan Mu
- Beijing University of Chinese Medicine, Beijing 100029, China
| | - Ke-Xin Chang
- Beijing University of Chinese Medicine, Beijing 100029, China
| | - Yu-Feng Chen
- Beijing University of Chinese Medicine, Beijing 100029, China
| | - Ke Yan
- Beijing University of Chinese Medicine, Beijing 100029, China
| | - Chun-Xiang Wang
- Beijing University of Chinese Medicine, Beijing 100029, China
| | - Qian Hua
- Beijing University of Chinese Medicine, Beijing 100029, China
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Gu Y, Honig LS, Kang MS, Bahl A, Sanchez D, Reyes‐Dumeyer D, Manly JJ, Dage JL, Lantigua RA, Brickman AM, Vardarajan BN, Mayeux R. Risk of Alzheimer's disease is associated with longitudinal changes in plasma biomarkers in the multi-ethnic Washington Heights-Hamilton Heights-Inwood Columbia Aging Project (WHICAP) cohort. Alzheimers Dement 2024; 20:1988-1999. [PMID: 38183363 PMCID: PMC10984426 DOI: 10.1002/alz.13652] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 11/27/2023] [Accepted: 11/30/2023] [Indexed: 01/08/2024]
Abstract
BACKGROUND Alzheimer's disease (AD) biomarkers can help differentiate cognitively unimpaired (CU) individuals from mild cognitive impairment (MCI) and dementia. The role of AD biomarkers in predicting cognitive impairment and AD needs examination. METHODS In 628 CU individuals from a multi-ethnic cohort, amyloid beta (Aβ)42, Aβ40, phosphorylated tau-181 (p-tau181), glial fibrillary acidic protein (GFAP), and neurofilament light chain (NfL) were measured in plasma. RESULTS Higher baseline levels of p-tau181/Aβ42 ratio were associated with an increased risk of incident dementia. A biomarker pattern (with elevated Aβ42/Aβ40 but low p-tau181/Aβ42) was associated with decreased dementia risk. Compared to CU, participants who developed MCI or dementia had a rapid decrease in this protective biomarker pattern reflecting AD-specific pathological change. DISCUSSION Elevated levels of AD biomarker p-tau181/Aβ42, by itself or combined with a low Aβ42/Aβ40 level, predicts clinically diagnosed AD. Individuals with a rapid change in these biomarkers may need close monitoring for the potential downward trajectory of cognition. HIGHLIGHTS We discuss a multi-ethnic, urban community study of elderly individuals. The study consisted of a longitudinal assessment over 6 years with repeated clinical assessments. The study used blood-based biomarkers as predictors of mild cognitive impairment and Alzheimer's disease.
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Affiliation(s)
- Yian Gu
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia UniversityNew YorkNew YorkUSA
- G.H. Sergievsky Center, Vagelos College of Physicians and Surgeons, Columbia UniversityNew YorkNew YorkUSA
- Department of NeurologyVagelos College of Physicians and SurgeonsColumbia Universityand the New York Presbyterian HospitalNew YorkNew YorkUSA
- Department of EpidemiologyMailman School of Public HealthColumbia UniversityNew YorkNew YorkUSA
| | - Lawrence S. Honig
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia UniversityNew YorkNew YorkUSA
- G.H. Sergievsky Center, Vagelos College of Physicians and Surgeons, Columbia UniversityNew YorkNew YorkUSA
- Department of NeurologyVagelos College of Physicians and SurgeonsColumbia Universityand the New York Presbyterian HospitalNew YorkNew YorkUSA
| | - Min Suk Kang
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia UniversityNew YorkNew YorkUSA
- G.H. Sergievsky Center, Vagelos College of Physicians and Surgeons, Columbia UniversityNew YorkNew YorkUSA
- Department of NeurologyVagelos College of Physicians and SurgeonsColumbia Universityand the New York Presbyterian HospitalNew YorkNew YorkUSA
| | - Aanya Bahl
- Department of EpidemiologyMailman School of Public HealthColumbia UniversityNew YorkNew YorkUSA
| | - Danurys Sanchez
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia UniversityNew YorkNew YorkUSA
| | - Dolly Reyes‐Dumeyer
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia UniversityNew YorkNew YorkUSA
- G.H. Sergievsky Center, Vagelos College of Physicians and Surgeons, Columbia UniversityNew YorkNew YorkUSA
| | - Jennifer J. Manly
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia UniversityNew YorkNew YorkUSA
- G.H. Sergievsky Center, Vagelos College of Physicians and Surgeons, Columbia UniversityNew YorkNew YorkUSA
- Department of NeurologyVagelos College of Physicians and SurgeonsColumbia Universityand the New York Presbyterian HospitalNew YorkNew YorkUSA
| | - Jeffrey L. Dage
- Stark Neurosciences Research Institute, Indiana University School of MedicineIndianapolisIndianaUSA
| | - Rafael A. Lantigua
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia UniversityNew YorkNew YorkUSA
- Department of MedicineVagelos College of Physicians and Surgeons, Columbia Universityand the New York Presbyterian HospitalNew YorkNew YorkUSA
| | - Adam M. Brickman
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia UniversityNew YorkNew YorkUSA
- G.H. Sergievsky Center, Vagelos College of Physicians and Surgeons, Columbia UniversityNew YorkNew YorkUSA
- Department of NeurologyVagelos College of Physicians and SurgeonsColumbia Universityand the New York Presbyterian HospitalNew YorkNew YorkUSA
| | - Badri N. Vardarajan
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia UniversityNew YorkNew YorkUSA
- G.H. Sergievsky Center, Vagelos College of Physicians and Surgeons, Columbia UniversityNew YorkNew YorkUSA
- Department of NeurologyVagelos College of Physicians and SurgeonsColumbia Universityand the New York Presbyterian HospitalNew YorkNew YorkUSA
| | - Richard Mayeux
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia UniversityNew YorkNew YorkUSA
- G.H. Sergievsky Center, Vagelos College of Physicians and Surgeons, Columbia UniversityNew YorkNew YorkUSA
- Department of NeurologyVagelos College of Physicians and SurgeonsColumbia Universityand the New York Presbyterian HospitalNew YorkNew YorkUSA
- Department of EpidemiologyMailman School of Public HealthColumbia UniversityNew YorkNew YorkUSA
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Guo Q, Ping L, Dammer EB, Yin L, Xu K, Shantaraman A, Fox EJ, Golde TE, Johnson ECB, Roberts BR, Lah JJ, Levey AI, Seyfried NT. Heparin-enriched plasma proteome is significantly altered in Alzheimer's Disease. RESEARCH SQUARE 2024:rs.3.rs-3933136. [PMID: 38464223 PMCID: PMC10925398 DOI: 10.21203/rs.3.rs-3933136/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Introduction Heparin binding proteins (HBPs) with roles in extracellular matrix assembly are strongly correlated to β-amyloid (Aβ) and tau pathology in Alzheimer's disease (AD) brain and cerebrospinal fluid (CSF). However, it remains challenging to detect these proteins in plasma using standard mass spectrometry-based proteomic approaches. Methods We employed heparin affinity chromatography, followed by off-line fractionation and tandem mass tag mass spectrometry (TMT-MS), to capture and enrich HBPs in plasma obtained from AD (n=62) and control (n=47) samples. These profiles were then correlated to a consensus AD brain proteome, as well as with Aβ, tau and phosphorylated tau (pTau) CSF biomarkers from the same individuals. We then leveraged published human postmortem brain proteome datasets to assess the overlap with the heparin-enriched plasma proteome. Results Heparin-enrichment from plasma was highly reproducible, enriched well-known HBPs like APOE and thrombin, and depleted high-abundance proteins such as albumin. A total of 2865 proteins, spanning 10 orders of magnitude were detectable. Utilizing a consensus AD brain protein co-expression network, we observed that specific plasma HBPs exhibited consistent direction of change in both brain and plasma, whereas others displayed divergent changes highlighting the complex interplay between the two compartments. Elevated HBPs in AD plasma, when compared to controls, included members of the matrisome module in brain that accumulate within Aβ deposits, such as SMOC1, SMOC2, SPON1, MDK, OLFML3, FRZB, GPNMB, and APOE. Additionally, heparin enriched plasma proteins demonstrated significant correlations with conventional AD CSF biomarkers, including Aβ, total tau, pTau, and plasma pTau from the same individuals. Conclusion These findings support the utility of a heparin-affinity approach for enriching amyloid-associated proteins, as well as a wide spectrum of plasma biomarkers that reflect pathological changes in the AD brain.
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Affiliation(s)
- Qi Guo
- Emory University School of Medicine
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48
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Suhocki PV, Doraiswamy PM. Cerebral venous biomarkers and veno-arterial gradients: untapped resources in Alzheimer's disease. Front Neurol 2024; 14:1295122. [PMID: 38239326 PMCID: PMC10794725 DOI: 10.3389/fneur.2023.1295122] [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: 09/15/2023] [Accepted: 12/11/2023] [Indexed: 01/22/2024] Open
Abstract
Blood based biomarkers (BBB) derived from forearm veins for estimating brain changes is becoming ubiquitous in Alzheimer's Disease (AD) research and could soon become standard in routine clinical diagnosis. However, there are many peripheral sources of contamination through which concentrations of these metabolites can be raised or lowered after leaving the brain and entering the central venous pool. This raises the issue of potential false conclusions that could lead to erroneous diagnosis or research findings. We propose the use of simultaneous sampling of internal jugular venous and arterial blood to calculate veno-arterial gradient, which can reveal either a surplus or a deficit of metabolites exiting the brain. Methods for sampling internal jugular venous and arterial blood are described along with examples of the use of the veno-arterial gradient in non-AD brain research. Such methods in turn could help better establish the accuracy of forearm venous biomarkers.
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Affiliation(s)
- Paul V. Suhocki
- Duke University Hospital, Durham, NC, United States
- School of Medicine, Duke University, Durham, NC, United States
- Division of Interventional Radiology, Department of Radiology, Duke University Hospital, Durham, NC, United States
| | - P. Murali Doraiswamy
- School of Medicine, Duke University, Durham, NC, United States
- Duke Institute for Brain Sciences, School of Medicine, Duke University, Durham, NC, United States
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Duke University, Durham, NC, United States
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49
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Tavares-Júnior JWL, Ciurleo GCV, Feitosa EDAAF, Oriá RB, Braga-Neto P. The Clinical Aspects of COVID and Alzheimer's Disease: A Round-Up of Where Things Stand and Are Headed. J Alzheimers Dis 2024; 99:1159-1171. [PMID: 38848177 DOI: 10.3233/jad-231368] [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: 06/09/2024]
Abstract
The link between long COVID-19 and brain/cognitive impairments is concerning and may foster a worrisome worldwide emergence of novel cases of neurodegenerative diseases with aging. This review aims to update the knowledge, crosstalk, and possible intersections between the Post-COVID Syndrome (PCS) and Alzheimer's disease (AD). References included in this review were obtained from PubMed searches conducted between October 2023 and November 2023. PCS is a very heterogenous and poorly understood disease with recent evidence of a possible association with chronic diseases such as AD. However, more scientific data is required to establish the link between PCS and AD.
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Affiliation(s)
| | - Gabriella Cunha Vieira Ciurleo
- Department of Clinical Medicine, Neurology Section, Faculty of Medicine, Federal University of Ceará (UFC), Fortaleza, CE, Brazil
- Department of Morphology and Institute of Biomedicine, Laboratory of the Biology of Tissue Healing, Ontogeny and Nutrition, School of Medicine, Federal University of Ceara, Fortaleza, CE, Brazil
| | | | - Reinaldo B Oriá
- Department of Clinical Medicine, Neurology Section, Faculty of Medicine, Federal University of Ceará (UFC), Fortaleza, CE, Brazil
- Department of Morphology and Institute of Biomedicine, Laboratory of the Biology of Tissue Healing, Ontogeny and Nutrition, School of Medicine, Federal University of Ceara, Fortaleza, CE, Brazil
| | - Pedro Braga-Neto
- Department of Clinical Medicine, Neurology Section, Faculty of Medicine, Federal University of Ceará (UFC), Fortaleza, CE, Brazil
- Center of Health Sciences, State University of Ceará, Fortaleza, CE, Brazil
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50
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Korologou-Linden R, Kalsi J, Kafetsouli D, Olawale A, Iwata A, Wingfield D, Mummery D, Hayhoe B, Robinson O, Majeed A, Middleton LT. Novel Blood-Based Biomarkers and Disease Modifying Therapies for Alzheimer's Disease. Are We Ready for the New Era? J Prev Alzheimers Dis 2024; 11:897-902. [PMID: 39044500 PMCID: PMC11266440 DOI: 10.14283/jpad.2024.83] [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: 02/23/2024] [Accepted: 03/17/2024] [Indexed: 07/25/2024]
Abstract
Recent positive trials for novel disease modifying therapies of anti-amyloid monoclonal antibodies represent a paradigm shift in the prevention and management of Alzheimer's disease, a relentlessly progressive and debilitating disease of old age. The reported efficacy of these new agents when given early in the disease trajectory is dependent on an early and accurate disease diagnosis, which is currently based on cerebrospinal fluid tests or/and neuro-imaging studies such as positron emission tomography. These confirmatory tests provide in vivo evidence of the pathological signature of Alzheimer's disease, of increased cerebral amyloid and tau burden and neurodegeneration. The emergence of blood-based biomarkers represents another breakthrough, offering a less invasive and scalable diagnostic tool that could be applied in both primary and specialist care settings, potentially revolutionizing Alzheimer's disease clinical pathways. However, healthcare systems face challenges in the adoption of these new technologies and therapies due to diagnostic and treatment capacity constraints, as well as financial and infrastructure requirements.
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Affiliation(s)
- R Korologou-Linden
- Roxanna Korologou-Linden, Ageing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, 11th Floor, Charing Cross Hospital Campus, W6 8RP, , Tel: +44 20 3311 0208
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