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Mitolo M, Lombardi G, Manca R, Nacmias B, Venneri A. Association between blood-based protein biomarkers and brain MRI in the Alzheimer's disease continuum: a systematic review. J Neurol 2024:10.1007/s00415-024-12674-w. [PMID: 39264441 DOI: 10.1007/s00415-024-12674-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2024] [Revised: 08/27/2024] [Accepted: 08/28/2024] [Indexed: 09/13/2024]
Abstract
Blood-based biomarkers (BBM) are becoming easily detectable tools to reveal pathological changes in Alzheimer's disease (AD). A comprehensive and up-to-date overview of the association between BBM and brain MRI parameters is not available. This systematic review aimed to summarize the literature on the associations between the main BBM and MRI markers across the clinical AD continuum. A systematic literature search was carried out on PubMed and Web of Science and a total of 33 articles were included. Hippocampal volume was positively correlated with Aβ42 and Aβ42/Aβ40 and negatively with Aβ40 plasma levels. P-tau181 and p-tau217 concentrations were negatively correlated with temporal grey matter volume and cortical thickness. NfL levels were negatively correlated with white matter microstructural integrity, whereas GFAP levels were positively correlated with myo-inositol values in the posterior cingulate cortex/precuneus. These findings highlight consistent associations between various BBM and brain MRI markers even in the pre-clinical and prodromal stages of AD. This suggests a possible advantage in combining multiple AD-related markers to improve accuracy of early diagnosis, prognosis, progression monitoring and treatment response.
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Affiliation(s)
- Micaela Mitolo
- Department of Medicine and Surgery, University of Parma, Parma, Italy
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Gemma Lombardi
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Florence, Italy
| | - Riccardo Manca
- Department of Medicine and Surgery, University of Parma, Parma, Italy.
- Department of Life Sciences, Brunel University London, Kingston Lane, Uxbridge, UB8 3PH, UK.
| | - Benedetta Nacmias
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Florence, Italy
| | - Annalena Venneri
- Department of Medicine and Surgery, University of Parma, Parma, Italy
- Department of Life Sciences, Brunel University London, Kingston Lane, Uxbridge, UB8 3PH, UK
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Ghosh G, Neely BA, Bland AM, Whitmer ER, Field CL, Duignan PJ, Janech MG. Identification of Candidate Protein Biomarkers Associated with Domoic Acid Toxicosis in Cerebrospinal Fluid of California Sea Lions ( Zalophus californianus). J Proteome Res 2024; 23:2419-2430. [PMID: 38807289 PMCID: PMC11232103 DOI: 10.1021/acs.jproteome.4c00103] [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: 02/13/2024] [Revised: 05/10/2024] [Accepted: 05/20/2024] [Indexed: 05/30/2024]
Abstract
Since 1998, California sea lion (Zalophus californianus) stranding events associated with domoic acid toxicosis (DAT) have consistently increased. Outside of direct measurement of domoic acid in bodily fluids at the time of stranding, there are no practical nonlethal clinical tests for the diagnosis of DAT that can be utilized in a rehabilitation facility. Proteomics analysis was conducted to discover candidate protein markers of DAT using cerebrospinal fluid from stranded California sea lions with acute DAT (n = 8), chronic DAT (n = 19), or without DAT (n = 13). A total of 2005 protein families were identified experiment-wide. A total of 83 proteins were significantly different in abundance across the three groups (adj. p < 0.05). MDH1, PLD3, ADAM22, YWHAG, VGF, and CLSTN1 could discriminate California sea lions with or without DAT (AuROC > 0.75). IGKV2D-28, PTRPF, KNG1, F2, and SNCB were able to discriminate acute DAT from chronic DAT (AuROC > 0.75). Proteins involved in alpha synuclein deposition were over-represented as classifiers of DAT, and many of these proteins have been implicated in a variety of neurodegenerative diseases. These proteins should be considered potential markers for DAT in California sea lions and should be prioritized for future validation studies as biomarkers.
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Affiliation(s)
- Gautam Ghosh
- Department of Biology, Grice Marine Laboratory, College of Charleston, Charleston, South Carolina 29412, United States
| | - Benjamin A Neely
- National Institute of Standards and Technology (NIST) Charleston, Charleston, South Carolina 29412, United States
| | - Alison M Bland
- Department of Biology, Grice Marine Laboratory, College of Charleston, Charleston, South Carolina 29412, United States
- Hollings Marine Laboratory, College of Charleston, Charleston, South Carolina 29412, United States
| | - Emily R Whitmer
- The Marine Mammal Center, 2000 Bunker Road, Sausalito, California 94965, United States
| | - Cara L Field
- The Marine Mammal Center, 2000 Bunker Road, Sausalito, California 94965, United States
| | - Pádraig J Duignan
- The Marine Mammal Center, 2000 Bunker Road, Sausalito, California 94965, United States
| | - Michael G Janech
- Department of Biology, Grice Marine Laboratory, College of Charleston, Charleston, South Carolina 29412, United States
- Hollings Marine Laboratory, College of Charleston, Charleston, South Carolina 29412, United States
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Paprzycka O, Wieczorek J, Nowak I, Madej M, Strzalka-Mrozik B. Potential Application of MicroRNAs and Some Other Molecular Biomarkers in Alzheimer's Disease. Curr Issues Mol Biol 2024; 46:5066-5084. [PMID: 38920976 PMCID: PMC11202417 DOI: 10.3390/cimb46060304] [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: 03/30/2024] [Revised: 05/05/2024] [Accepted: 05/21/2024] [Indexed: 06/27/2024] Open
Abstract
Alzheimer's disease (AD) is the world's most common neurodegenerative disease, expected to affect up to one-third of the elderly population in the near future. Among the major challenges in combating AD are the inability to reverse the damage caused by the disease, expensive diagnostic tools, and the lack of specific markers for the early detection of AD. This paper highlights promising research directions for molecular markers in AD diagnosis, including the diagnostic potential of microRNAs. The latest molecular methods for diagnosing AD are discussed, with particular emphasis on diagnostic techniques prior to the appearance of full AD symptoms and markers detectable in human body fluids. A collection of recent studies demonstrates the promising potential of molecular methods in AD diagnosis, using miRNAs as biomarkers. Up- or downregulation in neurodegenerative diseases may not only provide a new diagnostic tool but also serve as a marker for differentiating neurodegenerative diseases. However, further research in this direction is needed.
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Affiliation(s)
- Olga Paprzycka
- Department of Molecular Biology, Faculty of Pharmaceutical Sciences in Sosnowiec, Medical University of Silesia, 40-055 Katowice, Poland; (O.P.); (J.W.); (M.M.)
| | - Jan Wieczorek
- Department of Molecular Biology, Faculty of Pharmaceutical Sciences in Sosnowiec, Medical University of Silesia, 40-055 Katowice, Poland; (O.P.); (J.W.); (M.M.)
| | - Ilona Nowak
- Silesia LabMed, Centre for Research and Implementation, Medical University of Silesia, 40-752 Katowice, Poland;
| | - Marcel Madej
- Department of Molecular Biology, Faculty of Pharmaceutical Sciences in Sosnowiec, Medical University of Silesia, 40-055 Katowice, Poland; (O.P.); (J.W.); (M.M.)
- Silesia LabMed, Centre for Research and Implementation, Medical University of Silesia, 40-752 Katowice, Poland;
| | - Barbara Strzalka-Mrozik
- Department of Molecular Biology, Faculty of Pharmaceutical Sciences in Sosnowiec, Medical University of Silesia, 40-055 Katowice, Poland; (O.P.); (J.W.); (M.M.)
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Wang S, Xie S, Zheng Q, Zhang Z, Wang T, Zhang G. Biofluid biomarkers for Alzheimer's disease. Front Aging Neurosci 2024; 16:1380237. [PMID: 38659704 PMCID: PMC11039951 DOI: 10.3389/fnagi.2024.1380237] [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: 02/01/2024] [Accepted: 03/27/2024] [Indexed: 04/26/2024] Open
Abstract
Alzheimer's disease (AD) is a multifactorial neurodegenerative disease, with a complex pathogenesis and an irreversible course. Therefore, the early diagnosis of AD is particularly important for the intervention, prevention, and treatment of the disease. Based on the different pathophysiological mechanisms of AD, the research progress of biofluid biomarkers are classified and reviewed. In the end, the challenges and perspectives of future research are proposed.
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Affiliation(s)
- Sensen Wang
- Shandong Yinfeng Academy of Life Science, Jinan, Shandong, China
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation, Ministry of Education, Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Yantai University, Yantai, Shandong, China
| | - Sitan Xie
- Shandong Yinfeng Academy of Life Science, Jinan, Shandong, China
| | - Qinpin Zheng
- Shandong Yinfeng Academy of Life Science, Jinan, Shandong, China
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation, Ministry of Education, Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Yantai University, Yantai, Shandong, China
| | - Zhihui Zhang
- Shandong Yinfeng Academy of Life Science, Jinan, Shandong, China
| | - Tian Wang
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation, Ministry of Education, Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Yantai University, Yantai, Shandong, China
| | - Guirong Zhang
- Shandong Yinfeng Academy of Life Science, Jinan, Shandong, China
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation, Ministry of Education, Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Yantai University, Yantai, Shandong, China
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Huang X, Huang S, Fu F, Song J, Zhang Y, Yue F. Characterization of preclinical Alzheimer's disease model: spontaneous type 2 diabetic cynomolgus monkeys with systemic pro-inflammation, positive biomarkers and developing AD-like pathology. Alzheimers Res Ther 2024; 16:52. [PMID: 38459540 PMCID: PMC10921774 DOI: 10.1186/s13195-024-01416-9] [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: 11/22/2023] [Accepted: 02/19/2024] [Indexed: 03/10/2024]
Abstract
BACKGROUND The key to the prevention and treatment of Alzheimer's disease (AD) is to be able to predict and diagnose AD at the preclinical or early stage, but the lack of a preclinical model of AD is the critical factor that causes this problem to remain unresolved. METHODS We assessed 18 monkeys in vivo evaluation of pro-inflammatory cytokines and AD pathological biomarkers (n = 9 / type 2 diabetic mellitus (T2DM) group, age 20, fasting plasma glucose (FPG) ≥ 100 mg/dL, and n = 9 / negative control (NC) group, age 17, FPG < 100 mg/dL). Levels of pro-inflammatory cytokines and AD pathological biomarkers was measured by ELISA and Simoa Technology, respectively. 9 monkeys evaluated ex vivo for AD-like pathology (n = 6 / T2DM group, age 22.17, FPG ≥ 126 mg/dL, and n = 3 / NC group, age 14.67, FPG < 100 mg/dL). To evaluate the pathological features of AD in the brains of T2DM monkeys, we assessed the levels of Aβ, phospho-tau, and neuroinflammation using immunohistochemistry, which further confirmed the deposition of Aβ plaques by Bielschowsky's silver, Congo red, and Thioflavin S staining. Synaptic damage and neurodegeneration were assessed by immunofluorescence. RESULTS We found not only increased levels of pro-inflammatory cytokines such as tumor necrosis factor-α (TNF-α) in peripheral blood (PB) and brain of T2DM monkeys but also changes in PB of AD pathological biomarkers such as decreased β-amyloid (Aβ) 42 and Aβ40 levels. Most notably, we observed AD-like pathological features in the brain of T2DM monkeys, including Aβ plaque deposition, p-tau from neuropil thread to pre-neurofibrillary tangles (NFTs), and even the appearance of extracellular NFT. Microglia were activated from a resting state to an amoeboid. Astrocytes showed marked hypertrophy and an increased number of cell bodies and protrusions. Finally, we observed impairment of the postsynaptic membrane but no neurodegeneration or neuronal death. CONCLUSIONS Overall, T2DM monkeys showed elevated levels of peripheral and intracerebral inflammation, positive AD biomarkers in body fluids, and developing AD-like pathology in the brain, including Aβ and tau pathology, glial cell activation, and partial synaptic damage, but no neuronal degeneration or death as compared to the healthy normal group. Hereby, we consider the T2DM monkeys with elevation of the peripheral pro-inflammatory factors and positive AD biomarkers can be potentially regarded as a preclinical AD model.
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Affiliation(s)
- Xinxin Huang
- State Key Laboratory of Digital Medical Engineering, School of Biomedical Engineering, Hainan University, Sanya, 572025, China
- Collaborative Innovation Center of One Health, Hainan University, Hainan University, Haikou, 570228, China
| | - Shanshan Huang
- State Key Laboratory of Digital Medical Engineering, School of Biomedical Engineering, Hainan University, Sanya, 572025, China
- Collaborative Innovation Center of One Health, Hainan University, Hainan University, Haikou, 570228, China
| | - Fangyan Fu
- State Key Laboratory of Digital Medical Engineering, School of Biomedical Engineering, Hainan University, Sanya, 572025, China
- Collaborative Innovation Center of One Health, Hainan University, Hainan University, Haikou, 570228, China
| | - Junzhen Song
- State Key Laboratory of Digital Medical Engineering, School of Biomedical Engineering, Hainan University, Sanya, 572025, China
- Collaborative Innovation Center of One Health, Hainan University, Hainan University, Haikou, 570228, China
| | - Yuling Zhang
- State Key Laboratory of Digital Medical Engineering, School of Biomedical Engineering, Hainan University, Sanya, 572025, China
- Collaborative Innovation Center of One Health, Hainan University, Hainan University, Haikou, 570228, China
| | - Feng Yue
- State Key Laboratory of Digital Medical Engineering, School of Biomedical Engineering, Hainan University, Sanya, 572025, China.
- Collaborative Innovation Center of One Health, Hainan University, Hainan University, Haikou, 570228, China.
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Jung Y, Damoiseaux JS. The potential of blood neurofilament light as a marker of neurodegeneration for Alzheimer's disease. Brain 2024; 147:12-25. [PMID: 37540027 DOI: 10.1093/brain/awad267] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 07/22/2023] [Accepted: 07/28/2023] [Indexed: 08/05/2023] Open
Abstract
Over the past several years, there has been a surge in blood biomarker studies examining the value of plasma or serum neurofilament light (NfL) as a biomarker of neurodegeneration for Alzheimer's disease. However, there have been limited efforts to combine existing findings to assess the utility of blood NfL as a biomarker of neurodegeneration for Alzheimer's disease. In addition, we still need better insight into the specific aspects of neurodegeneration that are reflected by the elevated plasma or serum concentration of NfL. In this review, we survey the literature on the cross-sectional and longitudinal relationships between blood-based NfL levels and other, neuroimaging-based, indices of neurodegeneration in individuals on the Alzheimer's continuum. Then, based on the biomarker classification established by the FDA-NIH Biomarker Working group, we determine the utility of blood-based NfL as a marker for monitoring the disease status (i.e. monitoring biomarker) and predicting the severity of neurodegeneration in older adults with and without cognitive decline (i.e. a prognostic or a risk/susceptibility biomarker). The current findings suggest that blood NfL exhibits great promise as a monitoring biomarker because an increased NfL level in plasma or serum appears to reflect the current severity of atrophy, hypometabolism and the decline of white matter integrity, particularly in the brain regions typically affected by Alzheimer's disease. Longitudinal evidence indicates that blood NfL can be useful not only as a prognostic biomarker for predicting the progression of neurodegeneration in patients with Alzheimer's disease but also as a susceptibility/risk biomarker predicting the likelihood of abnormal alterations in brain structure and function in cognitively unimpaired individuals with a higher risk of developing Alzheimer's disease (e.g. those with a higher amyloid-β). There are still limitations to current research, as discussed in this review. Nevertheless, the extant literature strongly suggests that blood NfL can serve as a valuable prognostic and susceptibility biomarker for Alzheimer's disease-related neurodegeneration in clinical settings, as well as in research settings.
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Affiliation(s)
- Youjin Jung
- Department of Psychology, Wayne State University, Detroit, MI 48202, USA
- Institute of Gerontology, Wayne State University, Detroit, MI 48202, USA
| | - Jessica S Damoiseaux
- Department of Psychology, Wayne State University, Detroit, MI 48202, USA
- Institute of Gerontology, Wayne State University, Detroit, MI 48202, USA
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Seidu NM, Kern S, Sacuiu S, Sterner TR, Blennow K, Zetterberg H, Lindberg O, Ferreira D, Westman E, Zettergren A, Skoog I. Association of CSF biomarkers with MRI brain changes in Alzheimer's disease. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2024; 16:e12556. [PMID: 38406609 PMCID: PMC10884990 DOI: 10.1002/dad2.12556] [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: 09/15/2023] [Accepted: 01/24/2024] [Indexed: 02/27/2024]
Abstract
The relation between cerebrospinal fluid (CSF) biomarkers of Alzheimer's disease (AD) and magnetic resonance imaging (MRI) measures is poorly understood in cognitively healthy individuals from the general population. Participants' (n = 226) mean age was 70.9 years (SD = 0.4). CSF concentrations of amyloid beta (Aβ)1-42, total tau (t-tau), phosphorylated tau (p-tau), neurogranin, and neurofilament light, and volumes of hippocampus, amygdala, total basal forebrain (TBF), and cortical thickness were measured. Linear associations between CSF biomarkers and MRI measures were investigated. In Aβ1-42 positives, higher t-tau and p-tau were associated with smaller hippocampus (P = 0.001 and P = 0.003) and amygdala (P = 0.005 and P = 0.01). In Aβ1-42 negatives, higher t-tau, p-tau, and neurogranin were associated with larger TBF volume (P = 0.001, P = 0.001, and P = 0.01). No associations were observed between the CSF biomarkers and an AD signature score of cortical thickness. AD-specific biomarkers in cognitively healthy 70-year-olds may be related to TBF, hippocampus, and amygdala. Lack of association with cortical thickness might be due to early stage of disease.
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Affiliation(s)
- Nazib M Seidu
- Neuropsychiatric Epidemiology (EPINEP)Centre for Ageing and Health (AGECAP)Institute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Silke Kern
- Neuropsychiatric Epidemiology (EPINEP)Centre for Ageing and Health (AGECAP)Institute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Department of Psychiatry Cognition and Old Age PsychiatrySahlgrenska University Hospital, Region Västra GötalandGothenburgSweden
| | - Simona Sacuiu
- Neuropsychiatric Epidemiology (EPINEP)Centre for Ageing and Health (AGECAP)Institute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Department of Psychiatry Cognition and Old Age PsychiatrySahlgrenska University Hospital, Region Västra GötalandGothenburgSweden
- Division of Clinical GeriatricsDepartment of NeurobiologyCare Sciences and SocietyCenter for Alzheimer ResearchKarolinska InstitutetStockholmSweden
- Cognitive Disorders ClinicTheme Inflammation and AgingKarolinska University HospitalStockholmSweden
| | - Therese Rydberg Sterner
- Neuropsychiatric Epidemiology (EPINEP)Centre for Ageing and Health (AGECAP)Institute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Aging Research CenterDepartment of NeurobiologyCare Sciences and SocietyKarolinska Institutet and Stockholm UniversityStockholmSweden
| | - Kaj Blennow
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Clinical Neurochemistry LaboratorySahlgrenska University Hospital, Region Västra GötalandGothenburgSweden
| | - Henrik Zetterberg
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Clinical Neurochemistry LaboratorySahlgrenska University Hospital, Region Västra GötalandGothenburgSweden
- UK Dementia Research Institute at UCLLondonUK
- Department of Neurodegenerative DiseaseUCL Institute of NeurologyLondonUK
- Hong Kong Center for Neurodegenerative DiseasesHong KongChina
- UW Department of MedicineSchool of Medicine and Public HealthMadisonWisconsinUSA
| | - Olof Lindberg
- Division of Clinical GeriatricsDepartment of NeurobiologyCare Sciences and SocietyCenter for Alzheimer ResearchKarolinska InstitutetStockholmSweden
| | - Daniel Ferreira
- Division of Clinical GeriatricsDepartment of NeurobiologyCare Sciences and SocietyCenter for Alzheimer ResearchKarolinska InstitutetStockholmSweden
- Facultad de Ciencias de la SaludUniversidad Fernando Pessoa CanariasLas PalmasSpain
| | - Eric Westman
- Division of Clinical GeriatricsDepartment of NeurobiologyCare Sciences and SocietyCenter for Alzheimer ResearchKarolinska InstitutetStockholmSweden
- Department of NeuroimagingCentre for Neuroimaging SciencesInstitute of PsychiatryPsychology and NeuroscienceKing's College LondonLondonUK
| | - Anna Zettergren
- Neuropsychiatric Epidemiology (EPINEP)Centre for Ageing and Health (AGECAP)Institute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Ingmar Skoog
- Neuropsychiatric Epidemiology (EPINEP)Centre for Ageing and Health (AGECAP)Institute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Department of Psychiatry Cognition and Old Age PsychiatrySahlgrenska University Hospital, Region Västra GötalandGothenburgSweden
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Srikrishna M, Ashton NJ, Moscoso A, Pereira JB, Heckemann RA, van Westen D, Volpe G, Simrén J, Zettergren A, Kern S, Wahlund L, Gyanwali B, Hilal S, Ruifen JC, Zetterberg H, Blennow K, Westman E, Chen C, Skoog I, Schöll M. CT-based volumetric measures obtained through deep learning: Association with biomarkers of neurodegeneration. Alzheimers Dement 2024; 20:629-640. [PMID: 37767905 PMCID: PMC10916947 DOI: 10.1002/alz.13445] [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: 04/19/2023] [Revised: 06/29/2023] [Accepted: 08/01/2023] [Indexed: 09/29/2023]
Abstract
INTRODUCTION Cranial computed tomography (CT) is an affordable and widely available imaging modality that is used to assess structural abnormalities, but not to quantify neurodegeneration. Previously we developed a deep-learning-based model that produced accurate and robust cranial CT tissue classification. MATERIALS AND METHODS We analyzed 917 CT and 744 magnetic resonance (MR) scans from the Gothenburg H70 Birth Cohort, and 204 CT and 241 MR scans from participants of the Memory Clinic Cohort, Singapore. We tested associations between six CT-based volumetric measures (CTVMs) and existing clinical diagnoses, fluid and imaging biomarkers, and measures of cognition. RESULTS CTVMs differentiated cognitively healthy individuals from dementia and prodromal dementia patients with high accuracy levels comparable to MR-based measures. CTVMs were significantly associated with measures of cognition and biochemical markers of neurodegeneration. DISCUSSION These findings suggest the potential future use of CT-based volumetric measures as an informative first-line examination tool for neurodegenerative disease diagnostics after further validation. HIGHLIGHTS Computed tomography (CT)-based volumetric measures can distinguish between patients with neurodegenerative disease and healthy controls, as well as between patients with prodromal dementia and controls. CT-based volumetric measures associate well with relevant cognitive, biochemical, and neuroimaging markers of neurodegenerative diseases. Model performance, in terms of brain tissue classification, was consistent across two cohorts of diverse nature. Intermodality agreement between our automated CT-based and established magnetic resonance (MR)-based image segmentations was stronger than the agreement between visual CT and MR imaging assessment.
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Loeffler DA. Antibody-Mediated Clearance of Brain Amyloid-β: Mechanisms of Action, Effects of Natural and Monoclonal Anti-Aβ Antibodies, and Downstream Effects. J Alzheimers Dis Rep 2023; 7:873-899. [PMID: 37662616 PMCID: PMC10473157 DOI: 10.3233/adr-230025] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 07/05/2023] [Indexed: 09/05/2023] Open
Abstract
Immunotherapeutic efforts to slow the clinical progression of Alzheimer's disease (AD) by lowering brain amyloid-β (Aβ) have included Aβ vaccination, intravenous immunoglobulin (IVIG) products, and anti-Aβ monoclonal antibodies. Neither Aβ vaccination nor IVIG slowed disease progression. Despite conflicting phase III results, the monoclonal antibody Aducanumab received Food and Drug Administration (FDA) approval for treatment of AD in June 2021. The only treatments unequivocally demonstrated to slow AD progression to date are the monoclonal antibodies Lecanemab and Donanemab. Lecanemab received FDA approval in January 2023 based on phase II results showing lowering of PET-detectable Aβ; phase III results released at that time indicated slowing of disease progression. Topline results released in May 2023 for Donanemab's phase III trial revealed that primary and secondary end points had been met. Antibody binding to Aβ facilitates its clearance from the brain via multiple mechanisms including promoting its microglial phagocytosis, activating complement, dissolving fibrillar Aβ, and binding of antibody-Aβ complexes to blood-brain barrier receptors. Antibody binding to Aβ in peripheral blood may also promote cerebral efflux of Aβ by a peripheral sink mechanism. According to the amyloid hypothesis, for Aβ targeting to slow AD progression, it must decrease downstream neuropathological processes including tau aggregation and phosphorylation and (possibly) inflammation and oxidative stress. This review discusses antibody-mediated mechanisms of Aβ clearance, findings in AD trials involving Aβ vaccination, IVIG, and anti-Aβ monoclonal antibodies, downstream effects reported in those trials, and approaches which might improve the Aβ-clearing ability of monoclonal antibodies.
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Affiliation(s)
- David A. Loeffler
- Beaumont Research Institute, Department of Neurology, Corewell Health, Royal Oak, MI, USA
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Faraz Ahmed T, Bilal Azmi M, Imtiaz F, Zaman U, Ahmed A, Shahbaz N. Plasma levels of phosphorylated tau and neurofilament light chain as potential biomarkers for Alzheimer's disease: A biochemical analysis in Pakistani population. Saudi Pharm J 2023; 31:1202-1209. [PMID: 37273267 PMCID: PMC10236364 DOI: 10.1016/j.jsps.2023.05.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 05/10/2023] [Indexed: 06/06/2023] Open
Abstract
The National Institute on Aging-Alzheimer's Association's research framework in 2018 proposed a molecular construct for the diagnosis of Alzheimer's disease (AD). Nonetheless, the clinical exclusionary strategy is still the mainstay of AD diagnosis in Pakistan. We looked at the plasma levels of amyloid beta-42 (Aβ-42), phosphorylated tau (P-tau), and neurofilament light (NFL) in patients with Alzheimer's clinical syndrome (ACS) and healthy controls (HC) from the Pakistani population to keep pace with the global efforts towards establishing accessible and affordable biochemical diagnostic markers for AD in Pakistan. Consultant neurologists screened patients who presented with cognitive impairment to three large tertiary care hospitals in Karachi, and after receiving informed consent, recruited participants with ACS and HC from the same facilities. We collected 5cc of blood in EDTA tubes along with demographic and lifestyle information of the subjects. Plasma aliquots were stored at -80°C after centrifugation. For analysis it was thawed at 4℃ and levels of the three proteins were measured through ELISA. Data from 28 ACS patients and 28 age matched healthy controls were evaluated. Among demographic factors, education and depression were related with health status (p = 0.03 and 0.003, respectively). NFL and P-tau mean values demonstrated a significant difference between the ACS and control groups (p = 0.003 and 0.006), however Aβ42 did not (p = 0.114). ROC analysis showed that plasma P-tau and NFL, with AUCs of 0.717 and 0.735, respectively, could substantially distinguish ACS from the HC group (p = 0.007 and 0.003, respectively). Both plasma P-tau (r = -0.389; p = 0.004) and NFL (r = -0.424; p = 0.001) levels were significantly and negatively correlated with individuals' MMSE scores. NFL and plasma P-tau show promise in differentiating AD patients from healthy individuals. However, similar larger studies are needed to validate our findings.
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Affiliation(s)
- Tehniat Faraz Ahmed
- Department of Biochemistry, Dow International Dental College, Dow University of Health Sciences (DUHS), 74200 Karachi, Pakistan
| | - Muhammad Bilal Azmi
- Department of Biochemistry, Dow Medical College, Dow University of Health Sciences (DUHS), 74200 Karachi, Pakistan
| | - Fauzia Imtiaz
- Department of Biochemistry, Dow Medical College, Dow University of Health Sciences (DUHS), 74200 Karachi, Pakistan
| | - Uzma Zaman
- Department of Biochemistry, Dow International Medical College, Dow University of Health Sciences (DUHS), 74200 Karachi, Pakistan
| | - Affan Ahmed
- Dow Medical College, Dow University of Health Sciences (DUHS), 74200 Karachi, Pakistan
| | - Naila Shahbaz
- Department of Neurology, Dr Ruth Pfau Civil Hospital Karachi, 74400 Karachi, Pakistan
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11
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Gu L, Shu H, Wang Y, Wang P. Blood Neurofilament Light Chain in Different Types of Dementia. Curr Alzheimer Res 2023; 20:149-160. [PMID: 37264656 DOI: 10.2174/1567205020666230601123123] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 04/09/2023] [Accepted: 04/12/2023] [Indexed: 06/03/2023]
Abstract
AIMS The study aimed to evaluate diagnostic values of circulating neurofilament light chain (NFL) levels in different types of dementia. BACKGROUND Previous studies reported inconsistent change of blood NFL for different types of dementia, including Alzheimer's disease (AD), frontotemporal dementia (FTD), Parkinson's disease dementia (PDD) and Creutzfeldt-Jakob disease (CJD) and Lewy body dementia (LBD). OBJECTIVE Meta-analysis was conducted to summarize the results of studies evaluating diagnostic values of circulating NFL levels in different types of dementia to enhance the strength of evidence. METHODS Articles evaluating change in blood NFL levels in dementia and published before July 2022 were searched on the following databases (PubMed, Web of Science, EMBASE, Medline and Google Scholar). The computed results were obtained by using STATA 12.0 software. RESULTS AD patients showed increased NFL concentrations in serum and plasma, compared to healthy controls (HC) (standard mean difference (SMD) = 1.09, 95% confidence interval (CI): 0.48, 1.70, I2 = 97.4%, p < 0.001). In AD patients, higher NFL concentrations in serum and plasma were associated with reduced cerebrospinal fluid (CSF) Aβ1-42, increased CSF t-tau, increased CSF p-tau, reduced Mini-Mental State Examination (MMSE) and decreased memory. Additionally, mild cognitive impairment (MCI) showed elevated NFL concentrations in serum and plasma, compared to HC (SMD = 0.53, 95% CI: 0.18, 0.87, I2 = 93.8%, p < 0.001). However, in MCI, no significant association was found between NFL concentrations in serum, plasma and memory or visuospatial function. No significant difference was found between preclinical AD and HC (SMD = 0.18, 95% CI: -0.10, 0.47, I2 = 0.0%, p = 0.438). FTD patients showed increased NFL concentrations in serum and plasma, compared to HC (SMD = 1.08, 95% CI: 0.72, 1.43, I2 = 83.3%, p < 0.001). Higher NFL concentrations in serum and plasma were associated with increased CSF NFL in FTD. Additionally, the pooled parameters calculated were as follows: sensitivity, 0.82 (95% CI: 0.72, 0.90); specificity, 0.91 (95% CI: 0.83, 0.96). CJD patients showed increased NFL concentrations in serum and plasma, compared to HC. No significant difference in NFL level in serum and plasma was shown between AD and FTD (SMD = -0.03, 95% CI: -0.77, 0.72, I2 = 83.3%, p = 0.003). CONCLUSION In conclusion, the study suggested abnormal blood NFL level in AD and MCI, but not in preclinical AD. FTD and CJD showed abnormal blood NFL levels.
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Affiliation(s)
- Lihua Gu
- Department of Neurology, Tianjin Huanhu Hospital, 300222, Tianjin, China
| | - Hao Shu
- Department of Neurology, the Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, 210031, Jiangsu, China
| | - Yanjuan Wang
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, 210009, Jiangsu, China
| | - Pan Wang
- Department of Neurology, Tianjin Huanhu Hospital, 300222, Tianjin, China
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12
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Novel CSF Biomarkers Tracking Autoimmune Inflammatory and Neurodegenerative Aspects of CNS Diseases. Diagnostics (Basel) 2022; 13:diagnostics13010073. [PMID: 36611365 PMCID: PMC9818715 DOI: 10.3390/diagnostics13010073] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 12/13/2022] [Accepted: 12/20/2022] [Indexed: 12/29/2022] Open
Abstract
The accurate diagnosis of neuroinflammatory (NIDs) and neurodegenerative (NDDs) diseases and the stratification of patients into disease subgroups with distinct disease-related characteristics that reflect the underlying pathology represents an unmet clinical need that is of particular interest in the era of emerging disease-modifying therapies (DMT). Proper patient selection for clinical trials and identifying those in the prodromal stages of the diseases or those at high risk will pave the way for precision medicine approaches and halt neuroinflammation and/or neurodegeneration in early stages where this is possible. Towards this direction, novel cerebrospinal fluid (CSF) biomarker candidates were developed to reflect the diseased organ's pathology better. Μisfolded protein accumulation, microglial activation, synaptic dysfunction, and finally, neuronal death are some of the pathophysiological aspects captured by these biomarkers to support proper diagnosis and screening. We also describe advances in the field of molecular biomarkers, including miRNAs and extracellular nucleic acids known as cell-free DNA and mitochondrial DNA molecules. Here we review the most important of these novel CSF biomarkers of NIDs and NDDs, focusing on their involvement in disease development and emphasizing their ability to define homogeneous disease phenotypes and track potential treatment outcomes that can be mirrored in the CSF compartment.
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13
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Chelban V, Nikram E, Perez-Soriano A, Wilke C, Foubert-Samier A, Vijiaratnam N, Guo T, Jabbari E, Olufodun S, Gonzalez M, Senkevich K, Laurens B, Péran P, Rascol O, Le Traon AP, Todd EG, Costantini AA, Alikhwan S, Tariq A, Ng BL, Muñoz E, Painous C, Compta Y, Junque C, Segura B, Zhelcheska K, Wellington H, Schöls L, Jaunmuktane Z, Kobylecki C, Church A, Hu MTM, Rowe JB, Leigh PN, Massey L, Burn DJ, Pavese N, Foltynie T, Pchelina S, Wood N, Heslegrave AJ, Zetterberg H, Bocchetta M, Rohrer JD, Marti MJ, Synofzik M, Morris HR, Meissner WG, Houlden H. Neurofilament light levels predict clinical progression and death in multiple system atrophy. Brain 2022; 145:4398-4408. [PMID: 35903017 PMCID: PMC9762941 DOI: 10.1093/brain/awac253] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 06/06/2022] [Accepted: 06/17/2022] [Indexed: 11/12/2022] Open
Abstract
Disease-modifying treatments are currently being trialled in multiple system atrophy. Approaches based solely on clinical measures are challenged by heterogeneity of phenotype and pathogenic complexity. Neurofilament light chain protein has been explored as a reliable biomarker in several neurodegenerative disorders but data on multiple system atrophy have been limited. Therefore, neurofilament light chain is not yet routinely used as an outcome measure in multiple system atrophy. We aimed to comprehensively investigate the role and dynamics of neurofilament light chain in multiple system atrophy combined with cross-sectional and longitudinal clinical and imaging scales and for subject trial selection. In this cohort study, we recruited cross-sectional and longitudinal cases in a multicentre European set-up. Plasma and CSF neurofilament light chain concentrations were measured at baseline from 212 multiple system atrophy cases, annually for a mean period of 2 years in 44 multiple system atrophy patients in conjunction with clinical, neuropsychological and MRI brain assessments. Baseline neurofilament light chain characteristics were compared between groups. Cox regression was used to assess survival; receiver operating characteristic analysis to assess the ability of neurofilament light chain to distinguish between multiple system atrophy patients and healthy controls. Multivariate linear mixed-effects models were used to analyse longitudinal neurofilament light chain changes and correlated with clinical and imaging parameters. Polynomial models were used to determine the differential trajectories of neurofilament light chain in multiple system atrophy. We estimated sample sizes for trials aiming to decrease neurofilament light chain levels. We show that in multiple system atrophy, baseline plasma neurofilament light chain levels were better predictors of clinical progression, survival and degree of brain atrophy than the neurofilament light chain rate of change. Comparative analysis of multiple system atrophy progression over the course of disease, using plasma neurofilament light chain and clinical rating scales, indicated that neurofilament light chain levels rise as the motor symptoms progress, followed by deceleration in advanced stages. Sample size prediction suggested that significantly lower trial participant numbers would be needed to demonstrate treatment effects when incorporating plasma neurofilament light chain values into multiple system atrophy clinical trials in comparison to clinical measures alone. In conclusion, neurofilament light chain correlates with clinical disease severity, progression and prognosis in multiple system atrophy. Combined with clinical and imaging analysis, neurofilament light chain can inform patient stratification and serve as a reliable biomarker of treatment response in future multiple system atrophy trials of putative disease-modifying agents.
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Affiliation(s)
- Viorica Chelban
- Correspondence to: Dr Viorica Chelban Department of Neuromuscular Diseases UCL Queen Square Institute of Neurology London WC1N 3BG, UK E-mail:
| | - Elham Nikram
- Peninsula Technology Assessment Group (PenTAG), University of Exeter, Exeter EX 2LU, UK
| | - Alexandra Perez-Soriano
- Movement Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, Barcelona 08036, Spain
- Parkinson's Disease and Movement Disorders Unit, Neurology Department, Institute of Biomedical Research August Pi i Sunyer (IDIBAPS), Barcelona 08036, Spain
- Parkinson's Disease and Movement Disorders Unit, Neurology Department, Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas, Madrid 28029, Spain
| | - Carlo Wilke
- Division Translational Genomics of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, 72074 Tübingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), 72074 Tübingen, Germany
| | - Alexandra Foubert-Samier
- CRMR AMS, Service de Neurologie – Maladies Neurodégénératives, CHU de Bordeaux, F-33000 Bordeaux, France
- Université de Bordeaux, CNRS, IMN, UMR 5293, F-33000 Bordeaux, France
- Université de Bordeaux, INSERM, BPH, U1219, F-33000 Bordeaux, France
- Inserm, CIC 1401 Bordeaux, Clinical Epidemiology Unit, F-33000 Bordeaux, France
| | - Nirosen Vijiaratnam
- Department Clinical and Movement Neuroscience, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
| | - Tong Guo
- Department Clinical and Movement Neuroscience, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
| | - Edwin Jabbari
- Department Clinical and Movement Neuroscience, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
| | - Simisola Olufodun
- Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
| | - Mariel Gonzalez
- Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
| | - Konstantin Senkevich
- Neurogenomics and Precision Medicine (NAP-Med) Laboratory, The Neuro (Montreal Neurological Institute-Hospital), Montreal, QC H3A 2B4, Canada
- Department of Neurology & Neurosurgery, McGill University, Montreal, QC H3A 2B4, Canada
- Laboratory of Human Genetics, Petersburg Nuclear Physics Institute named by B.P. Konstantinov of National Research Centre 'Kurchatov Institute', Gatchina 188300, Russia
- Laboratory of Medical Genetics, Pavlov First Saint-Petersburg State Medical University, St. Petersburg 197022, Russia
| | - Brice Laurens
- CRMR AMS, Service de Neurologie – Maladies Neurodégénératives, CHU de Bordeaux, F-33000 Bordeaux, France
- Université de Bordeaux, CNRS, IMN, UMR 5293, F-33000 Bordeaux, France
| | - Patrice Péran
- ToNIC, Toulouse NeuroImaging Center, UMR 1214, Université de Toulouse, 31024 Toulouse, France
| | - Olivier Rascol
- CRMR AMS, CHU de Toulouse, 31300 Toulouse, France
- Clinical Investigation Center CIC 1436, NS-Park/F-CRIN Network and NeuroToul COEN Center; Inserm, University of Toulouse 3 and CHU of Toulouse, F-31000 Toulouse, France
- Departments of Neurosciences and Clinical Pharmacology, CHU Toulouse and University of Toulouse 3, F-31000 Toulouse, France
| | - Anne Pavy Le Traon
- CRMR AMS, CHU de Toulouse, 31300 Toulouse, France
- Institut des Maladies Métaboliques et Cardiovasculaires, Inserm U 1297, Toulouse University, F-31000 Toulouse, France
| | - Emily G Todd
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, WC1N 3BG London, UK
| | - Alyssa A Costantini
- Department Clinical and Movement Neuroscience, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
| | - Sondos Alikhwan
- Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
| | - Ambreen Tariq
- Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
| | - Bai Lin Ng
- Department of Economics, University College London, London WC1N 3BG, UK
| | - Esteban Muñoz
- Movement Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, Barcelona 08036, Spain
- Parkinson's Disease and Movement Disorders Unit, Neurology Department, Institute of Biomedical Research August Pi i Sunyer (IDIBAPS), Barcelona 08036, Spain
- Parkinson's Disease and Movement Disorders Unit, Neurology Department, Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas, Madrid 28029, Spain
| | - Celia Painous
- Movement Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, Barcelona 08036, Spain
- Parkinson's Disease and Movement Disorders Unit, Neurology Department, Institute of Biomedical Research August Pi i Sunyer (IDIBAPS), Barcelona 08036, Spain
- Parkinson's Disease and Movement Disorders Unit, Neurology Department, Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas, Madrid 28029, Spain
| | - Yaroslau Compta
- Movement Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, Barcelona 08036, Spain
- Parkinson's Disease and Movement Disorders Unit, Neurology Department, Institute of Biomedical Research August Pi i Sunyer (IDIBAPS), Barcelona 08036, Spain
- Parkinson's Disease and Movement Disorders Unit, Neurology Department, Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas, Madrid 28029, Spain
| | - Carme Junque
- Parkinson's Disease and Movement Disorders Unit, Neurology Department, Institute of Biomedical Research August Pi i Sunyer (IDIBAPS), Barcelona 08036, Spain
- Parkinson's Disease and Movement Disorders Unit, Neurology Department, Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas, Madrid 28029, Spain
- Medical Psychology Unit, Department of Medicine, Institute of Neuroscience, University of Barcelona, 08035 Barcelona, Spain
| | - Barbara Segura
- Parkinson's Disease and Movement Disorders Unit, Neurology Department, Institute of Biomedical Research August Pi i Sunyer (IDIBAPS), Barcelona 08036, Spain
- Parkinson's Disease and Movement Disorders Unit, Neurology Department, Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas, Madrid 28029, Spain
- Medical Psychology Unit, Department of Medicine, Institute of Neuroscience, University of Barcelona, 08035 Barcelona, Spain
| | - Kristina Zhelcheska
- Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
| | - Henny Wellington
- Biomarkers Factory Laboratory, UK Dementia Research Institute, UCL Queen Square Institute of Neurology, London WC1N 3BG, UK
| | - Ludger Schöls
- Division Translational Genomics of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, 72074 Tübingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), 72074 Tübingen, Germany
| | - Zane Jaunmuktane
- Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, WC1N 3BG London, UK
| | - Christopher Kobylecki
- Department of Neurology, Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, Stott Lane, Salford M6 8HD, UK
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, University of Manchester, Oxford Road, Manchester M13 9PT, UK
| | - Alistair Church
- Department of Neurology, Royal Gwent Hospital, Newport NP20 2UB, UK
| | - Michele T M Hu
- Division of Neurology, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, UK
| | - James B Rowe
- Department of Clinical Neurosciences, Cambridge University, Cambridge CB3 0SZ, UK
- MRC Cognition and Brain Sciences Unit, University of Cambridge, CB3 0SZ Cambridge, UK
- Neurology Department, Cambridge University Hospitals NHS Trust, Cambridge CB2 0QQ, UK
| | - P Nigel Leigh
- Department of Neuroscience, Brighton and Sussex Medical School, Brighton BN1 9PX, UK
| | - Luke Massey
- Neurology Department, University Hospitals Dorset, Poole BH15 2JB, UK
| | - David J Burn
- Faculty of Medical Sciences, Clinical Ageing Research Unit, Newcastle University, NE4 5PL Newcastle, UK
| | - Nicola Pavese
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, WC1N 3BG London, UK
| | - Tom Foltynie
- Department Clinical and Movement Neuroscience, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
| | - Sofya Pchelina
- Laboratory of Human Genetics, Petersburg Nuclear Physics Institute named by B.P. Konstantinov of National Research Centre 'Kurchatov Institute', Gatchina 188300, Russia
- Laboratory of Medical Genetics, Pavlov First Saint-Petersburg State Medical University, St. Petersburg 197022, Russia
| | - Nicholas Wood
- Department Clinical and Movement Neuroscience, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
| | - Amanda J Heslegrave
- Biomarkers Factory Laboratory, UK Dementia Research Institute, UCL Queen Square Institute of Neurology, London WC1N 3BG, UK
| | - Henrik Zetterberg
- Biomarkers Factory Laboratory, UK Dementia Research Institute, UCL Queen Square Institute of Neurology, London WC1N 3BG, UK
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, WC1N 3BG London, UK
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, 405 30 Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, 405 30 Mölndal, Sweden
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong 1512-1518, China
| | - Martina Bocchetta
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, WC1N 3BG London, UK
| | - Jonathan D Rohrer
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, WC1N 3BG London, UK
| | - Maria J Marti
- Movement Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, Barcelona 08036, Spain
- Parkinson's Disease and Movement Disorders Unit, Neurology Department, Institute of Biomedical Research August Pi i Sunyer (IDIBAPS), Barcelona 08036, Spain
- Parkinson's Disease and Movement Disorders Unit, Neurology Department, Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas, Madrid 28029, Spain
| | - Matthis Synofzik
- Division Translational Genomics of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, 72074 Tübingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), 72074 Tübingen, Germany
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Saunders TS, Gadd DA, Spires‐Jones TL, King D, Ritchie C, Muniz‐Terrera G. Associations between cerebrospinal fluid markers and cognition in ageing and dementia: A systematic review. Eur J Neurosci 2022; 56:5650-5713. [PMID: 35338546 PMCID: PMC9790745 DOI: 10.1111/ejn.15656] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 03/08/2022] [Accepted: 03/13/2022] [Indexed: 12/30/2022]
Abstract
A biomarker associated with cognition in neurodegenerative dementias would aid in the early detection of disease progression, complement clinical staging and act as a surrogate endpoint in clinical trials. The current systematic review evaluates the association between cerebrospinal fluid protein markers of synapse loss and neuronal injury and cognition. We performed a systematic search which revealed 67 studies reporting an association between cerebrospinal fluid markers of interest and neuropsychological performance. Despite the substantial heterogeneity between studies, we found some evidence for an association between neurofilament-light and worse cognition in Alzheimer's diseases, frontotemporal dementia and typical cognitive ageing. Moreover, there was an association between cerebrospinal fluid neurogranin and cognition in those with an Alzheimer's-like cerebrospinal fluid biomarker profile. Some evidence was found for cerebrospinal fluid neuronal pentraxin-2 as a correlate of cognition across dementia syndromes. Due to the substantial heterogeneity of the field, no firm conclusions can be drawn from this review. Future research should focus on improving standardization and reporting as well as establishing the importance of novel markers such as neuronal pentraxin-2 and whether such markers can predict longitudinal cognitive decline.
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Affiliation(s)
- Tyler S. Saunders
- UK Dementia Research InstituteThe University of EdinburghEdinburghUK
- Center for Discovery Brain SciencesThe University of EdinburghEdinburghUK
- Center for Clinical Brain SciencesThe University of EdinburghEdinburghUK
- Center for Dementia PreventionThe University of EdinburghEdinburghUK
| | - Danni A. Gadd
- Center for Genomic and Experimental Medicine, Institute of Genetics and Molecular MedicineUniversity of EdinburghEdinburghUK
| | - Tara L. Spires‐Jones
- UK Dementia Research InstituteThe University of EdinburghEdinburghUK
- Center for Discovery Brain SciencesThe University of EdinburghEdinburghUK
| | - Declan King
- UK Dementia Research InstituteThe University of EdinburghEdinburghUK
- Center for Discovery Brain SciencesThe University of EdinburghEdinburghUK
| | - Craig Ritchie
- Center for Clinical Brain SciencesThe University of EdinburghEdinburghUK
- Center for Dementia PreventionThe University of EdinburghEdinburghUK
| | - Graciela Muniz‐Terrera
- Center for Clinical Brain SciencesThe University of EdinburghEdinburghUK
- Center for Dementia PreventionThe University of EdinburghEdinburghUK
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15
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Chen PH, Lin SI, Liao YY, Hsu WL, Cheng FY. Associations between blood-based biomarkers of Alzheimer's disease with cognition in motoric cognitive risk syndrome: A pilot study using plasma Aβ42 and total tau. Front Aging Neurosci 2022; 14:981632. [PMID: 36268195 PMCID: PMC9577229 DOI: 10.3389/fnagi.2022.981632] [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: 06/29/2022] [Accepted: 09/20/2022] [Indexed: 01/28/2023] Open
Abstract
Background Motoric cognitive risk (MCR) syndrome is a conceptual construct that combines slow gait speed with subjective cognitive complaints and has been shown to be associated with an increased risk of developing dementia. However, the relationships between the pathology of Alzheimer's disease (AD) and MCR syndrome remain uncertain. Therefore, the purpose of this study was to determine the levels of plasma AD biomarkers (Aβ42 and total tau) and their relationships with cognition in individuals with MCR. Materials and methods This was a cross-sectional pilot study that enrolled 25 individuals with normal cognition (NC), 27 with MCR, and 16 with AD. Plasma Aβ42 and total tau (t-tau) levels were measured using immunomagnetic reduction (IMR) assays. A comprehensive neuropsychological assessment was also performed. Results The levels of plasma t-tau proteins did not differ significantly between the MCR and AD groups, but that of plasma t-tau was significantly increased in the MCR and AD groups, compared to the NC group. Visuospatial performance was significantly lower in the MCR group than in the NC group. The levels of plasma t-tau correlated significantly with the Montreal Cognitive Assessment (MoCA) and Boston naming test scores in the MCR group. Conclusion In this pilot study, we found significantly increased plasma t-tau proteins in the MCR and AD groups, compared with the NC group. The plasma t-tau levels were also significantly correlated with the cognitive function of older adults with MCR. These results implied that MCR and AD may share similar pathology. However, these findings need further confirmation in longitudinal studies.
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Affiliation(s)
- Pei-Hao Chen
- Department of Neurology, MacKay Memorial Hospital, Taipei, Taiwan,Department of Medicine, MacKay Medical College, New Taipei City, Taiwan,Graduate Institute of Mechanical and Electrical Engineering, National Taipei University of Technology, Taipei, Taiwan
| | - Sang-I Lin
- Institute of Long-Term Care, MacKay Medical College, New Taipei City, Taiwan
| | - Ying-Yi Liao
- Department of Gerontological Health Care, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan
| | - Wei-Ling Hsu
- Institute of Long-Term Care, MacKay Medical College, New Taipei City, Taiwan,Center of Dementia Care, MacKay Memorial Hospital, New Taipei City, Taiwan
| | - Fang-Yu Cheng
- Institute of Long-Term Care, MacKay Medical College, New Taipei City, Taiwan,*Correspondence: Fang-Yu Cheng,
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Sun Q, Ni J, Wei M, Long S, Li T, Fan D, Lu T, Shi J, Tian J. Plasma β-amyloid, tau, neurodegeneration biomarkers and inflammatory factors of probable Alzheimer’s disease dementia in Chinese individuals. Front Aging Neurosci 2022; 14:963845. [PMID: 36062146 PMCID: PMC9433929 DOI: 10.3389/fnagi.2022.963845] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 07/21/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundPlasma-derived β-amyloid, tau, and neurodegeneration (ATN) biomarkers can accurately diagnose Alzheimer’s disease (AD) and predict its progression. Few studies have investigated the relationship between plasma biomarkers and changes in plasma inflammatory markers in clinically diagnosed AD.MethodsSeventy-four participants were recruited, including 30 mild-to-moderate AD dementia patients and 44 normal controls (NC). All participants underwent neuropsychological testing and blood sampling for biomarker testing. AD was clinically diagnosed according to the National Institute on Aging-Alzheimer’s Association (NIA-AA) core criteria and required age-mismatched hippocampal atrophy. We performed Single Molecule Array (Simoa), an ultra-sensitive enzyme-linked immunosorbent assay (ELISA), to examine plasma ATN markers, including β-amyloid (Aβ) 40, Aβ42, p-tau181, total (t)-tau, neurofilament protein light chain (NfL), and inflammatory factors (TNF-α, IL-1β, IL-6, and IL-8).ResultsThe level of the plasma Aβ42/Aβ40 ratio was significantly declined and the levels of the plasma p-tau181, NfL and TNF-α were significantly higher in the AD group than the NC group, but there was no significant difference in the levels of plasma t-tau, IL-1β, IL-6, and IL-8 between the AD and NC groups. The levels of plasma p-tau181, NfL, Aβ42/Aβ40 ratio, and TNF-α were all associated with impairments in multiple cognitive domains. Among them, the plasma Aβ42/Aβ40 ratio, and the p-tau181 and TNF-α levels were associated with impairments in global cognition, memory, and visuospatial abilities, but not with executive function, only plasma NfL level was associated with executive function. Plasma NfL showed higher diagnostic performance in AD than in NC individuals (AUC = 0.833). A combined diagnostic prediction model of plasma Aβ42/Aβ40 ratio, p-tau 181, and NfL had the highest value than each factor alone (AUC = 0.902),with a sensitivity and specificity of 0.867 and 0.886, respectively.ConclusionThe levels of plasma ATN biomarkers (Aβ42/Aβ40 ratio, p-tua181, and NfL) were significantly changed in clinically diagnosed AD patients and they all associated with different domains of cognitive impairment. Plasma ATN biomarkers better differentiate mild-to-moderate AD dementia from NC when they are incorporated into diagnostic models together rather than individually. Plasma ATN biomarkers have the potential to be a screening tool for AD. However, the expression of inflammatory factors in AD patients requires further research.
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Affiliation(s)
- Qingling Sun
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Jingnian Ni
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Mingqing Wei
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Siwei Long
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Ting Li
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Dongsheng Fan
- Department of Neurology, Peking University Third Hospital, Beijing, China
| | - Tao Lu
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
| | - Jing Shi
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- *Correspondence: Jing Shi,
| | - Jinzhou Tian
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Jinzhou Tian,
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Park SA, Jang YJ, Kim MK, Lee SM, Moon SY. Promising Blood Biomarkers for Clinical Use in Alzheimer's Disease: A Focused Update. J Clin Neurol 2022; 18:401-409. [PMID: 35796265 PMCID: PMC9262460 DOI: 10.3988/jcn.2022.18.4.401] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 04/29/2022] [Accepted: 04/29/2022] [Indexed: 12/11/2022] Open
Abstract
Alzheimer’s disease (AD) is the most-common cause of neurodegenerative dementia, and it is characterized by abnormal amyloid and tau accumulation, which indicates neurodegeneration. AD has mostly been diagnosed clinically. However, ligand-specific positron emission tomography (PET) imaging, such as amyloid PET, and cerebrospinal fluid (CSF) biomarkers are needed to accurately diagnose AD, since they supplement the shortcomings of clinical diagnoses. Using biomarkers that represent the pathology of AD is essential (particularly when disease-modifying treatment is available) to identify the corresponding pathology of targeted therapy and for monitoring the treatment response. Although imaging and CSF biomarkers are useful, their widespread use is restricted by their high cost and the discomfort during the lumbar puncture, respectively. Recent advances in AD blood biomarkers shed light on their future use for clinical purposes. The amyloid β (Aβ)42/Aβ40 ratio and the concentrations of phosphorylated tau at threonine 181 and at threonine 217, and of neurofilament light in the blood were found to represent the pathology of Aβ, tau, and neurodegeneration in the brain when using automatic electrochemiluminescence technologies, single-molecule arrays, immunoprecipitation coupled with mass spectrometry, etc. These blood biomarkers are imminently expected to be incorporated into clinical practice to predict, diagnose, and determine the stage of AD. In this review we focus on advancements in the measurement technologies for blood biomarkers and the promising biomarkers that are approaching clinical application. We also discuss the current limitations, the needed further investigations, and the perspectives on their use.
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Affiliation(s)
- Sun Ah Park
- Lab for Neurodegenerative Dementia, Department of Anatomy, Ajou University School of Medicine, Suwon, Korea.,Department of Neurology, Ajou University School of Medicine, Suwon, Korea.,Neuroscience Graduate Program, Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Korea.
| | - Yu Jung Jang
- Lab for Neurodegenerative Dementia, Department of Anatomy, Ajou University School of Medicine, Suwon, Korea.,Neuroscience Graduate Program, Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Korea
| | - Min Kyoung Kim
- Lab for Neurodegenerative Dementia, Department of Anatomy, Ajou University School of Medicine, Suwon, Korea.,Neuroscience Graduate Program, Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Korea
| | - Sun Min Lee
- Department of Neurology, Ajou University School of Medicine, Suwon, Korea
| | - So Young Moon
- Department of Neurology, Ajou University School of Medicine, Suwon, Korea
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18
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Salvadó G, Shekari M, Falcon C, Operto G, Milà-Alomà M, Sánchez-Benavides G, Cacciaglia R, Arenaza-Urquijo E, Niñerola-Baizán A, Perissinotti A, Minguillon C, Fauria K, Kollmorgen G, Suridjan I, Molinuevo JL, Zetterberg H, Blennow K, Suárez-Calvet M, Gispert JD. Brain alterations in the early Alzheimer's continuum with amyloid-β, tau, glial and neurodegeneration CSF markers. Brain Commun 2022; 4:fcac134. [PMID: 35702732 PMCID: PMC9185381 DOI: 10.1093/braincomms/fcac134] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 03/03/2022] [Accepted: 05/20/2022] [Indexed: 11/15/2022] Open
Abstract
Higher grey matter volumes/cortical thickness and fluorodeoxyglucose uptake have been consistently found in cognitively unimpaired individuals with abnormal Alzheimer’s disease biomarkers compared with those with normal biomarkers. It has been hypothesized that such transient increases may be associated with neuroinflammatory mechanisms triggered in response to early Alzheimer’s pathology. Here, we evaluated, in the earliest stages of the Alzheimer’s continuum, associations between grey matter volume and fluorodeoxyglucose uptake with CSF biomarkers of several pathophysiological mechanisms known to be altered in preclinical Alzheimer’s disease stages. We included 319 cognitively unimpaired participants from the ALFA+ cohort with available structural MRI, fluorodeoxyglucose PET and CSF biomarkers of amyloid-β and tau pathology (phosphorylated tau and total tau), synaptic dysfunction (neurogranin), neuronal and axonal injury (neurofilament light), glial activation (soluble triggering receptor on myeloid cells 2, YKL40, GFAP, interleukin-6 and S100b) and α-synuclein using the Roche NeuroToolKit. We first used the amyloid-β/tau framework to investigate differences in the neuroimaging biomarkers between preclinical Alzheimer’s disease stages. Then, we looked for associations between the neuroimaging markers and all the CSF markers. Given the non-negative nature of the concentrations of CSF biomarkers and their high collinearity, we clustered them using non-negative matrix factorization approach (components) and sought associations with the imaging markers. By groups, higher grey matter volumes were found in the amyloid-β-positive tau-negative participants with respect to the reference amyloid-β-negative tau-negative group. Both amyloid-β and tau-positive participants showed higher fluorodeoxyglucose uptake than tau-negative individuals. Using the obtained components, we observed that tau pathology accompanied by YKL-40 (astrocytic marker) was associated with higher grey matter volumes and fluorodeoxyglucose uptake in extensive brain areas. Higher grey matter volumes in key Alzheimer-related regions were also found in association with two other components characterized by a higher expression of amyloid-β in combination with different glial markers: one with higher GFAP and S100b levels (astrocytic markers) and the other one with interleukin-6 (pro-inflammatory). Notably, these components’ expression had different behaviours across amyloid-β/tau stages. Taken together, our results show that CSF amyloid-β and phosphorylated tau, in combination with different aspects of glial response, have distinctive associations with higher grey matter volumes and increased glucose metabolism in key Alzheimer-related regions. These mechanisms combine to produce transient higher grey matter volumes and fluorodeoxyglucose uptake at the earliest stages of the Alzheimer’s continuum, which may revert later on the course of the disease when neurodegeneration drives structural and metabolic cerebral changes.
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Affiliation(s)
- Gemma Salvadó
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- IMIM (Hospital del MarMedical Research Institute), Barcelona, Spain
| | - Mahnaz Shekari
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- IMIM (Hospital del MarMedical Research Institute), Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
| | - Carles Falcon
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- IMIM (Hospital del MarMedical Research Institute), Barcelona, Spain
- Centro de Investigación Biomédica en Red Bioingeniería, Biomateriales y Nanomedicina, (CIBER-BBN), Barcelona, Spain
| | - Grégory Operto
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- IMIM (Hospital del MarMedical Research Institute), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Marta Milà-Alomà
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- IMIM (Hospital del MarMedical Research Institute), Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Gonzalo Sánchez-Benavides
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- IMIM (Hospital del MarMedical Research Institute), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Raffaele Cacciaglia
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- IMIM (Hospital del MarMedical Research Institute), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Eider Arenaza-Urquijo
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- IMIM (Hospital del MarMedical Research Institute), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Aida Niñerola-Baizán
- Centro de Investigación Biomédica en Red Bioingeniería, Biomateriales y Nanomedicina, (CIBER-BBN), Barcelona, Spain
- Nuclear Medicine Department, Hospital Clínic Barcelona, Barcelona, Spain
| | - Andrés Perissinotti
- Centro de Investigación Biomédica en Red Bioingeniería, Biomateriales y Nanomedicina, (CIBER-BBN), Barcelona, Spain
- Nuclear Medicine Department, Hospital Clínic Barcelona, Barcelona, Spain
| | - Carolina Minguillon
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- IMIM (Hospital del MarMedical Research Institute), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Karine Fauria
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | | | | | - José Luis Molinuevo
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, United Kingdom
- UK Dementia Research Institute at UCL, London, United Kingdom
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Marc Suárez-Calvet
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- IMIM (Hospital del MarMedical Research Institute), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
- Servei de Neurologia, Hospital del Mar, Barcelona, Spain
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- IMIM (Hospital del MarMedical Research Institute), Barcelona, Spain
- Centro de Investigación Biomédica en Red Bioingeniería, Biomateriales y Nanomedicina, (CIBER-BBN), Barcelona, Spain
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19
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Meeker KL, Butt OH, Gordon BA, Fagan AM, Schindler SE, Morris JC, Benzinger TLS, Ances BM. Cerebrospinal fluid neurofilament light chain is a marker of aging and white matter damage. Neurobiol Dis 2022; 166:105662. [PMID: 35167933 PMCID: PMC9112943 DOI: 10.1016/j.nbd.2022.105662] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 02/09/2022] [Accepted: 02/10/2022] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Cerebrospinal fluid (CSF) neurofilament light chain (NfL) reflects neuro-axonal damage and is increasingly used to evaluate disease progression across neurological conditions including Alzheimer disease (AD). However, it is unknown how NfL relates to specific types of brain tissue. We sought to determine whether CSF NfL is more strongly associated with total gray matter, white matter, or white matter hyperintensity (WMH) volume, and to quantify the relative importance of brain tissue volume, age, and AD marker status (i.e., APOE genotype, brain amyloidosis, tauopathy, and cognitive status) in predicting CSF NfL. METHODS 419 participants (Clinical Dementia Rating [CDR] Scale > 0, N = 71) had CSF, magnetic resonance imaging (MRI), and neuropsychological data. A subset had amyloid positron emission tomography (PET) and tau PET. Pearson correlation analysis was used to determine the association between CSF NfL and age. Multiple regression was used to determine which brain volume (i.e., gray, white, or WMH volume) most strongly associated with CSF NfL. Stepwise regression and dominance analyses were used to determine the individual contributions and relative importance of brain volume, age, and AD marker status in predicting CSF NfL. RESULTS CSF NfL increased with age (r = 0.59, p < 0.001). Elevated CSF NfL was associated with greater total WMH volume (p < 0.001), but not gray or white matter volume (p's > 0.05) when considered simultaneously. Age and WMH volume were consistently more important (i.e., have greater R2 values) than AD markers when predicting CSF NfL. CONCLUSIONS CSF NfL is a non-specific marker of aging and white matter integrity with limited sensitivity to specific markers of AD. CSF NfL likely reflects processes associated with cerebrovascular disease.
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Affiliation(s)
- Karin L Meeker
- Department of Neurology, School of Medicine, Washington University in St. Louis, St. Louis, MO, USA.
| | - Omar H Butt
- Department of Neurology, School of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Brian A Gordon
- Mallinckrodt Institute of Radiology, School of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Anne M Fagan
- Department of Neurology, School of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Suzanne E Schindler
- Department of Neurology, School of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - John C Morris
- Department of Neurology, School of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Tammie L S Benzinger
- Mallinckrodt Institute of Radiology, School of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Beau M Ances
- Department of Neurology, School of Medicine, Washington University in St. Louis, St. Louis, MO, USA
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20
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Li K, Qu H, Ma M, Xia C, Cai M, Han F, Zhang Q, Gu X, Ma Q. Correlation Between Brain Structure Atrophy and Plasma Amyloid-β and Phosphorylated Tau in Patients With Alzheimer’s Disease and Amnestic Mild Cognitive Impairment Explored by Surface-Based Morphometry. Front Aging Neurosci 2022; 14:816043. [PMID: 35547625 PMCID: PMC9083065 DOI: 10.3389/fnagi.2022.816043] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Accepted: 02/28/2022] [Indexed: 12/27/2022] Open
Abstract
ObjectiveTo investigate the changes in the cortical thickness of the region of interest (ROI) and plasma Aβ40, Aβ42, and phosphorylated Tau (P-Tau) concentrations in patients with Alzheimer’s disease (AD) and amnestic mild cognitive impairment (aMCI) as the disease progressed with surface-based morphometry (SBM), to analyze the correlation between ROI cortical thickness and measured plasma indexes and neuropsychological scales, and to explore the clinical value of ROI cortical thickness combined with plasma Aβ40, Aβ42, and P-Tau in the early recognition and diagnosis of AD.MethodsThis study enrolled 33 patients with AD, 48 patients with aMCI, and 33 healthy controls (normal control, NC). Concentration changes in plasma Aβ42, Aβ40, and P-Tau collected in each group were analyzed. Meanwhile, the whole brain T1 structure images (T1WI-3D-MPRAGE) of each group of patients were collected, and T1 image in AD-aMCI, AD-NC, and aMCI-NC group were analyzed and processed by SBM technology to obtain brain regions with statistical differences as clusters, and the cortical thickness of each cluster was extracted. Multivariate ordered logistic regression analysis was used to screen out the measured plasma indexes and the indexes with independent risk factors in the cortical thickness of each cluster. Three comparative receiver operating characteristic (ROC) curves of AD-aMCI, AD-NC, and aMCI-NC groups were plotted, respectively, to explore the diagnostic value of multi-factor combined prediction for cognitive impairment. The relationship between cortical thickness and plasma indexes, and between cortical thickness and Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) scores were clarified by Pearson correlation analysis.ResultsPlasma Aβ40, Aβ42, and P-Tau proteins in the NC, aMCI, and AD groups increased with the progression of AD (P < 0.01); cortical thickness reductions in the AD-aMCI groups and AD-NC groups mainly involved the bilateral superior temporal gyrus, transverse temporal gyrus, superior marginal gyrus, insula, right entorhinal cortex, right fusiform gyrus, and cingulate gyrus. However, there were no statistical significances in cortical thickness reductions in the aMCI and NC groups. The cortical thickness of the ROI was negatively correlated with plasma Aβ40, Aβ42, and P-Tau concentrations (P < 0.05), and the cortical thickness of the ROI was positively correlated with MMSE and MoCA scores. Independent risk factors such as Aβ40, Aβ42, P-Tau, and AD-NC cluster 1R (right superior temporal gyrus, temporal pole, entorhinal cortex, transverse temporal gyrus, fusiform gyrus, superior marginal gyrus, middle temporal gyrus, and inferior temporal gyrus) were combined to plot ROC curves. The diagnostic efficiency of plasma indexes was higher than that of cortical thickness indexes, the diagnostic efficiency of ROC curves after the combination of cortical thickness and plasma indexes was higher than that of cortical thickness or plasma indexes alone.ConclusionPlasma Aβ40, Aβ42, and P-Tau may be potential biomarkers for early prediction of AD. As the disease progressed, AD patients developed cortical atrophy characterized by atrophy of the medial temporal lobe. The combined prediction of these region and plasma Aβ40, Aβ42, and P-Tau had a higher diagnostic value than single-factor prediction for cognitive decline.
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Affiliation(s)
- Kaidi Li
- Department of Neurology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China
| | - Hang Qu
- Department of Imaging, Yangzhou First People’s Hospital, Affiliated Hospital of Yangzhou University, Yangzhou, China
| | - Mingyi Ma
- Department of Molecular and Cellular Biology, University of Illinois Urbana-Champaign, Urbana, IL, United States
| | - Chenyu Xia
- Department of Neurology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
| | - Ming Cai
- Department of Neurology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
| | - Fang Han
- Department of Imaging, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
| | - Qing Zhang
- Department of Imaging, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
| | - Xinyi Gu
- Department of Neurology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
| | - Qiang Ma
- Department of Neurology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
- *Correspondence: Qiang Ma,
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21
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Klyucherev TO, Olszewski P, Shalimova AA, Chubarev VN, Tarasov VV, Attwood MM, Syvänen S, Schiöth HB. Advances in the development of new biomarkers for Alzheimer's disease. Transl Neurodegener 2022; 11:25. [PMID: 35449079 PMCID: PMC9027827 DOI: 10.1186/s40035-022-00296-z] [Citation(s) in RCA: 75] [Impact Index Per Article: 37.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 03/28/2022] [Indexed: 12/16/2022] Open
Abstract
Alzheimer's disease (AD) is a complex, heterogeneous, progressive disease and is the most common type of neurodegenerative dementia. The prevalence of AD is expected to increase as the population ages, placing an additional burden on national healthcare systems. There is a large need for new diagnostic tests that can detect AD at an early stage with high specificity at relatively low cost. The development of modern analytical diagnostic tools has made it possible to determine several biomarkers of AD with high specificity, including pathogenic proteins, markers of synaptic dysfunction, and markers of inflammation in the blood. There is a considerable potential in using microRNA (miRNA) as markers of AD, and diagnostic studies based on miRNA panels suggest that AD could potentially be determined with high accuracy for individual patients. Studies of the retina with improved methods of visualization of the fundus are also showing promising results for the potential diagnosis of the disease. This review focuses on the recent developments of blood, plasma, and ocular biomarkers for the diagnosis of AD.
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Affiliation(s)
- Timofey O Klyucherev
- Department of Neuroscience, Functional Pharmacology, University of Uppsala, Uppsala, Sweden.,Department of Pharmacology, Institute of Pharmacy, I. M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Pawel Olszewski
- Department of Neuroscience, Functional Pharmacology, University of Uppsala, Uppsala, Sweden
| | - Alena A Shalimova
- Department of Neuroscience, Functional Pharmacology, University of Uppsala, Uppsala, Sweden.,Department of Pharmacology, Institute of Pharmacy, I. M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Vladimir N Chubarev
- Institute of Translational Medicine and Biotechnology, I. M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Vadim V Tarasov
- Department of Pharmacology, Institute of Pharmacy, I. M. Sechenov First Moscow State Medical University, Moscow, Russia.,Institute of Translational Medicine and Biotechnology, I. M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Misty M Attwood
- Department of Neuroscience, Functional Pharmacology, University of Uppsala, Uppsala, Sweden
| | - Stina Syvänen
- Department of Public Health and Caring Sciences, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Helgi B Schiöth
- Department of Neuroscience, Functional Pharmacology, University of Uppsala, Uppsala, Sweden.
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22
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Relationship between cerebrospinal fluid neurodegeneration biomarkers and temporal brain atrophy in cognitively healthy older adults. Neurobiol Aging 2022; 116:80-91. [DOI: 10.1016/j.neurobiolaging.2022.04.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 04/05/2022] [Accepted: 04/14/2022] [Indexed: 12/30/2022]
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23
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Fluid Biomarkers in Alzheimer’s Disease and Other Neurodegenerative Disorders: Toward Integrative Diagnostic Frameworks and Tailored Treatments. Diagnostics (Basel) 2022; 12:diagnostics12040796. [PMID: 35453843 PMCID: PMC9029739 DOI: 10.3390/diagnostics12040796] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 03/09/2022] [Accepted: 03/17/2022] [Indexed: 02/05/2023] Open
Abstract
The diagnosis of neurodegenerative diseases (NDDs) represents an increasing social burden, with the unsolved issue of disease-modifying therapies (DMTs). The failure of clinical trials treating Alzheimer′s Disease (AD) so far highlighted the need for a different approach in drug design and patient selection. Identifying subjects in the prodromal or early symptomatic phase is critical to slow down neurodegeneration, but the implementation of screening programs with this aim will have an ethical and social aftermath. Novel minimally invasive candidate biomarkers (derived from blood, saliva, olfactory brush) or classical cerebrospinal fluid (CSF) biomarkers have been developed in research settings to stratify patients with NDDs. Misfolded protein accumulation, neuroinflammation, and synaptic loss are the pathophysiological hallmarks detected by these biomarkers to refine diagnosis, prognosis, and target engagement of drugs in clinical trials. We reviewed fluid biomarkers of NDDs, considering their potential role as screening, diagnostic, or prognostic tool, and their present-day use in clinical trials (phase II and III). A special focus will be dedicated to novel techniques for the detection of misfolded proteins. Eventually, an applicative diagnostic algorithm will be proposed to translate the research data in clinical practice and select prodromal or early patients to be enrolled in the appropriate DMTs trials for NDDs.
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24
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Serum NfL in Alzheimer Dementia: Results of the Prospective Dementia Registry Austria. MEDICINA (KAUNAS, LITHUANIA) 2022; 58:medicina58030433. [PMID: 35334608 PMCID: PMC8955532 DOI: 10.3390/medicina58030433] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 03/11/2022] [Accepted: 03/12/2022] [Indexed: 11/16/2022]
Abstract
Background and Objectives: The neurofilament light chain (NfL) is a biomarker for neuro-axonal injury in various acute and chronic neurological disorders, including Alzheimer’s disease (AD). We here investigated the cross-sectional and longitudinal associations between baseline serum NfL (sNfL) levels and cognitive, behavioural as well as MR volumetric findings in the Prospective Dementia Registry Austria (PRODEM-Austria). Materials and Methods: All participants were clinically diagnosed with AD according to NINCDS-ADRDA criteria and underwent a detailed clinical assessment, cognitive testing (including the Mini Mental State Examination (MMSE) and the Consortium to Establish a Registry for Alzheimer’s Disease (CERAD)), the neuropsychiatric inventory (NPI) and laboratory evaluation. A total of 237 patients were included in the study. Follow-up examinations were done at 6 months, 1 year and 2 years with 93.3% of patients undergoing at least one follow-up. We quantified sNfL by a single molecule array (Simoa). In a subgroup of 125 subjects, brain imaging data (1.5 or 3T MRI, with 1 mm isotropic resolution) were available. Brain volumetry was assessed using the FreeSurfer image analysis suite (v6.0). Results: Higher sNfL concentrations were associated with worse performance in cognitive tests at baseline, including CERAD (B = −10.084, SE = 2.999, p < 0.001) and MMSE (B = −3.014, SE = 1.293, p = 0.021). The sNfL levels also correlated with the presence of neuropsychiatric symptoms (NPI total score: r = 0.138, p = 0.041) and with smaller volumes of the temporal lobe (B = −0.012, SE = 0.003, p = 0.001), the hippocampus (B = −0.001, SE = 0.000201, p = 0.013), the entorhinal (B = −0.000308, SE = 0.000124, p = 0.014), and the parahippocampal cortex (B = −0.000316, SE = 0.000113, p = 0.006). The sNfL values predicted more pronounced cognitive decline over the mean follow-up period of 22 months, but there were no significant associations with respect to change in neuropsychiatric symptoms and brain volumetric measures. Conclusions: the sNfL levels relate to cognitive, behavioural, and imaging hallmarks of AD and predicts short term cognitive decline.
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25
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Liu Y, Xu Y, Yu M. MicroRNA-4722-5p and microRNA-615-3p serve as potential biomarkers for Alzheimer's disease. Exp Ther Med 2022; 23:241. [PMID: 35222718 PMCID: PMC8815048 DOI: 10.3892/etm.2022.11166] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 11/09/2021] [Indexed: 12/05/2022] Open
Abstract
The aim of the present study was to investigate the expression levels of microRNA(miR)-4722-5p and miR-615-3p in Alzheimer's disease (AD) and their diagnostic value. Blood samples were collected from 33 patients with AD and 33 healthy controls, and an β-amyloid (Aβ)25-35-induced PC12 cell model was also established. The relative mRNA expression levels of miR-4722-5p and miR-615-3p were detected using reverse transcription-quantitative PCR. The correlations between the mRNA expression levels of the two miRNAs and the mini-mental state examination (MMSE) scores were analyzed, and the receiver operating characteristic curve was used to assess the diagnostic value of miR-4722-5p and miR-615-3p in AD. Functional enrichment analysis of the miRNA target genes was performed using The Database for Annotation, Visualization and Integrated Discovery database and the R language analysis package. The mRNA expression levels of miR-4722-5p and miR-615-3p were increased in patients with AD and the Aβ25-35-induced PC12 cell model. The mRNA expression levels of miR-4722-5p and miR-615-3p were negatively correlated with MMSE scores, and the combination of the two miRNAs for AD had an improved diagnostic value than that of each miRNA alone. The results of Gene Ontology (GO) enrichment analysis showed that the target genes of miR-4722-5p were found in the cytoplasm and cytosol, and were mainly involved in protein folding and cell division. The molecular functions included protein binding and GTPase activator activity. The results of Kyoto Encyclopedia of Genes and Genomes analysis showed that miR-4722-5p was associated with the regulation of dopaminergic synapses and mTOR signaling pathways. GO enrichment analysis also revealed that the target genes of miR-615-3p were located in the nucleus and cytoplasm, were involved in the regulation of transcription and protein phosphorylation, and were associated with protein binding, metal ion binding and transcription factor activity. The target genes of miR-615-3p played important roles in the regulation of the Ras and FoxO signaling pathways. In conclusion, miR-4722-5p and miR-615-3p may be potential biomarkers in the early diagnosis of AD.
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Affiliation(s)
- Yan Liu
- Department of Neurology, The Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu 212001, P.R. China
| | - Yuhao Xu
- Department of Neurology, The Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu 212001, P.R. China
| | - Ming Yu
- Department of Neurology, The Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu 212001, P.R. China
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Mahaman YAR, Embaye KS, Huang F, Li L, Zhu F, Wang JZ, Liu R, Feng J, Wang X. Biomarkers used in Alzheimer's disease diagnosis, treatment, and prevention. Ageing Res Rev 2022; 74:101544. [PMID: 34933129 DOI: 10.1016/j.arr.2021.101544] [Citation(s) in RCA: 59] [Impact Index Per Article: 29.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 12/09/2021] [Accepted: 12/15/2021] [Indexed: 12/12/2022]
Abstract
Alzheimer's disease (AD), being the number one in terms of dementia burden, is an insidious age-related neurodegenerative disease and is presently considered a global public health threat. Its main histological hallmarks are the Aβ senile plaques and the P-tau neurofibrillary tangles, while clinically it is marked by a progressive cognitive decline that reflects the underlying synaptic loss and neurodegeneration. Many of the drug therapies targeting the two pathological hallmarks namely Aβ and P-tau have been proven futile. This is probably attributed to the initiation of therapy at a stage where cognitive alterations are already obvious. In other words, the underlying neuropathological changes are at a stage where these drugs lack any therapeutic value in reversing the damage. Therefore, there is an urgent need to start treatment in the very early stage where these changes can be reversed, and hence, early diagnosis is of primordial importance. To this aim, the use of robust and informative biomarkers that could provide accurate diagnosis preferably at an earlier phase of the disease is of the essence. To date, several biomarkers have been established that, to a different extent, allow researchers and clinicians to evaluate, diagnose, and more specially exclude other related pathologies. In this study, we extensively reviewed data on the currently explored biomarkers in terms of AD pathology-specific and non-specific biomarkers and highlighted the recent developments in the diagnostic and theragnostic domains. In the end, we have presented a separate elaboration on aspects of future perspectives and concluding remarks.
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27
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Vorobev SV, Yanishevskij SN, Emelin AY, Lebedev AA, Lebedev SP, Makarov YN, Usikov AS, Klotchenko SA, Vasin AV. Prospects for the use of graphene-based biological sensors in the early diagnosis of Alzheimer's disease (review of literature). Klin Lab Diagn 2022; 67:5-12. [PMID: 35077063 DOI: 10.51620/0869-2084-2022-67-1-5-12] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Among the most significant challenges presented to modern medicine is the problem of cognitive disorders. The relevance of her research is determined by the wide spread of disorders of the higher cortical functions, their significant negative impact on the quality of life of patients, as well as high economic costs on the part of the state and the patient's relatives aimed at organizing medical, diagnostic and rehabilitation processes. The main cause of cognitive impairment in the elderly is Alzheimer's disease. Currently, the criteria for the diagnosis of this nosological form have been developed and are widely used in practice. However, it should be noted that their use is most effective if the patient has a detailed clinical picture, at the stage of dementia. In addition, they provide for the study of biomarkers in a number of cases in the cerebrospinal fluid or using positron emission tomography, which presents certain technical difficulties. Especially significant problems arise in the pre-dement stages. This situation dictates the need to search for new promising diagnostic methods that will have high sensitivity and specificity, as well as the possibility of application in the early stages of Alzheimer's disease, including in outpatient settings. The article provides information about modern methods of computer neuroimaging, discusses the research directions of individual biomarkers, and also shows the prospects for using diagnostic test panels developed on the basis of graphene biosensors, taking into account the latest achievements of nanotechnology and their integration into medical science.
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Affiliation(s)
- S V Vorobev
- Almazov National Medical Research Centre.,Saint-Petersburg State Pediatric Medical University
| | - S N Yanishevskij
- Almazov National Medical Research Centre.,Military Medical Academy named after S.M. Kirov
| | - A Yu Emelin
- Military Medical Academy named after S.M. Kirov
| | - A A Lebedev
- Saint Petersburg National Research University of Information Technologies, Mechanics and Optics.,Ioffe Institute
| | | | - Yu N Makarov
- Saint Petersburg National Research University of Information Technologies, Mechanics and Optics.,Nitride Crystals Group Ltd
| | - A S Usikov
- Saint Petersburg National Research University of Information Technologies, Mechanics and Optics.,Nitride Crystals Group Ltd
| | | | - A V Vasin
- Smorodintsev Research Institute of Influenza.,Institute of Biomedical Systems and Biotechnology, Peter the Great Saint-Petersburg Polytechnic University
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28
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Brosseron F, Maass A, Kleineidam L, Ravichandran KA, González PG, McManus RM, Ising C, Santarelli F, Kolbe CC, Häsler LM, Wolfsgruber S, Marquié M, Boada M, Orellana A, de Rojas I, Röske S, Peters O, Cosma NC, Cetindag A, Wang X, Priller J, Spruth EJ, Altenstein S, Schneider A, Fliessbach K, Wiltfang J, Schott BH, Bürger K, Janowitz D, Dichgans M, Perneczky R, Rauchmann BS, Teipel S, Kilimann I, Göerß D, Laske C, Munk MH, Düzel E, Yakupov R, Dobisch L, Metzger CD, Glanz W, Ewers M, Dechent P, Haynes JD, Scheffler K, Roy N, Rostamzadeh A, Teunissen CE, Marchant NL, Spottke A, Jucker M, Latz E, Wagner M, Mengel D, Synofzik M, Jessen F, Ramirez A, Ruiz A, Heneka MT. Soluble TAM receptors sAXL and sTyro3 predict structural and functional protection in Alzheimer's disease. Neuron 2021; 110:1009-1022.e4. [PMID: 34995486 DOI: 10.1016/j.neuron.2021.12.016] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 11/17/2021] [Accepted: 12/10/2021] [Indexed: 10/19/2022]
Abstract
There is an urgent need to improve the understanding of neuroinflammation in Alzheimer's disease (AD). We analyzed cerebrospinal fluid inflammatory biomarker correlations to brain structural volume and longitudinal cognitive outcomes in the DELCODE study and in a validation cohort of the F.ACE Alzheimer Center Barcelona. We investigated whether respective biomarker changes are evident before onset of cognitive impairment. YKL-40; sTREM2; sAXL; sTyro3; MIF; complement factors C1q, C4, and H; ferritin; and ApoE protein were elevated in pre-dementia subjects with pathological levels of tau or other neurodegeneration markers, demonstrating tight interactions between inflammation and accumulating neurodegeneration even before onset of symptoms. Intriguingly, higher levels of ApoE and soluble TAM receptors sAXL and sTyro3 were related to larger brain structure and stable cognitive outcome at follow-up. Our findings indicate a protective mechanism relevant for intervention strategies aiming to regulate neuroinflammation in subjects with no or subjective symptoms but underlying AD pathology profile.
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Affiliation(s)
- Frederic Brosseron
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn 53127, Germany; Department of Neurodegenerative Disease and Geriatric Psychiatry/Neurology, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Anne Maass
- German Center for Neurodegenerative Diseases (DZNE), Leipziger Straße 44, Magdeburg 39120, Germany
| | - Luca Kleineidam
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn 53127, Germany; Department of Neurodegenerative Disease and Geriatric Psychiatry/Neurology, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Kishore Aravind Ravichandran
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn 53127, Germany; Department of Neurodegenerative Disease and Geriatric Psychiatry/Neurology, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Pablo García González
- Research Center and Memory Clinic, Fundacío ACE Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain; Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Róisín M McManus
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn 53127, Germany; Department of Neurodegenerative Disease and Geriatric Psychiatry/Neurology, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Christina Ising
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn 53127, Germany; Department of Neurodegenerative Disease and Geriatric Psychiatry/Neurology, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Francesco Santarelli
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn 53127, Germany; Department of Neurodegenerative Disease and Geriatric Psychiatry/Neurology, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Carl-Christian Kolbe
- University of Bonn Medical Center, Institute of Innate Immune, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Lisa M Häsler
- Hertie Institute for Clinical Brain Research, Department of Cellular Neurology, University of Tübingen, Otfried-Müller-Strasse 27, 72076 Tübingen, Germany; German Center for Neurodegenerative Diseases (DZNE), Otfried-Müller-Straße 27, Tübingen 72076, Germany
| | - Steffen Wolfsgruber
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn 53127, Germany; Department of Neurodegenerative Disease and Geriatric Psychiatry/Neurology, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Marta Marquié
- Research Center and Memory Clinic, Fundacío ACE Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain; Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Mercè Boada
- Research Center and Memory Clinic, Fundacío ACE Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain; Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Adelina Orellana
- Research Center and Memory Clinic, Fundacío ACE Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain; Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Itziar de Rojas
- Research Center and Memory Clinic, Fundacío ACE Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain; Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Sandra Röske
- Department of Neurodegenerative Disease and Geriatric Psychiatry/Neurology, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Oliver Peters
- German Center for Neurodegenerative Diseases (DZNE), Charitéplatz 1, Berlin 10117, Germany; Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, 10117 Berlin, Germany
| | - Nicoleta-Carmen Cosma
- German Center for Neurodegenerative Diseases (DZNE), Charitéplatz 1, Berlin 10117, Germany; Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, 10117 Berlin, Germany
| | - Arda Cetindag
- German Center for Neurodegenerative Diseases (DZNE), Charitéplatz 1, Berlin 10117, Germany; Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, 10117 Berlin, Germany
| | - Xiao Wang
- Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, 10117 Berlin, Germany
| | - Josef Priller
- German Center for Neurodegenerative Diseases (DZNE), Charitéplatz 1, Berlin 10117, Germany; Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, 10117 Berlin, Germany; Department of Psychiatry and Psychotherapy, Technical University Munich, 81675 Munich, Germany
| | - Eike J Spruth
- German Center for Neurodegenerative Diseases (DZNE), Charitéplatz 1, Berlin 10117, Germany; Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, 10117 Berlin, Germany
| | - Slawek Altenstein
- German Center for Neurodegenerative Diseases (DZNE), Charitéplatz 1, Berlin 10117, Germany; Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, 10117 Berlin, Germany
| | - Anja Schneider
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn 53127, Germany; Department of Neurodegenerative Disease and Geriatric Psychiatry/Neurology, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Klaus Fliessbach
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn 53127, Germany; Department of Neurodegenerative Disease and Geriatric Psychiatry/Neurology, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Jens Wiltfang
- German Center for Neurodegenerative Diseases (DZNE), Von-Siebold-Str. 3a, Göttingen 37075, Germany; Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, University of Göttingen, Von-Siebold-Str. 5, 37075 Göttingen, Germany; Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
| | - Björn H Schott
- German Center for Neurodegenerative Diseases (DZNE), Von-Siebold-Str. 3a, Göttingen 37075, Germany; Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, University of Göttingen, Von-Siebold-Str. 5, 37075 Göttingen, Germany; Leibniz Institute for Neurobiology, Brenneckestr. 6, 39118 Magdeburg, Germany
| | - Katharina Bürger
- German Center for Neurodegenerative Diseases (DZNE), Feodor-Lynen-Strasse 17, Munich 81377, Germany; Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Feodor-Lynen-Strasse 17, 81377 Munich, Germany
| | - Daniel Janowitz
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Feodor-Lynen-Strasse 17, 81377 Munich, Germany
| | - Martin Dichgans
- German Center for Neurodegenerative Diseases (DZNE), Feodor-Lynen-Strasse 17, Munich 81377, Germany; Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Feodor-Lynen-Strasse 17, 81377 Munich, Germany
| | - Robert Perneczky
- German Center for Neurodegenerative Diseases (DZNE), Feodor-Lynen-Strasse 17, Munich 81377, Germany; Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy) Munich, Munich, Germany; Ageing Epidemiology Research Unit (AGE), School of Public Health, Imperial College London, London, UK
| | - Boris-Stephan Rauchmann
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Feodor-Lynen-Strasse 17, 81377 Munich, Germany
| | - Stefan Teipel
- German Center for Neurodegenerative Diseases (DZNE), Gehlsheimer Str. 20, Rostock 18147, Germany; Department of Psychosomatic Medicine, Rostock University Medical Center, Gehlsheimer Str. 20, 18147 Rostock, Germany
| | - Ingo Kilimann
- German Center for Neurodegenerative Diseases (DZNE), Gehlsheimer Str. 20, Rostock 18147, Germany; Department of Psychosomatic Medicine, Rostock University Medical Center, Gehlsheimer Str. 20, 18147 Rostock, Germany
| | - Doreen Göerß
- Department of Psychosomatic Medicine, Rostock University Medical Center, Gehlsheimer Str. 20, 18147 Rostock, Germany
| | - Christoph Laske
- German Center for Neurodegenerative Diseases (DZNE), Otfried-Müller-Straße 27, Tübingen 72076, Germany; Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Matthias H Munk
- German Center for Neurodegenerative Diseases (DZNE), Otfried-Müller-Straße 27, Tübingen 72076, Germany; Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Emrah Düzel
- German Center for Neurodegenerative Diseases (DZNE), Leipziger Straße 44, Magdeburg 39120, Germany; Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany
| | - Renat Yakupov
- German Center for Neurodegenerative Diseases (DZNE), Leipziger Straße 44, Magdeburg 39120, Germany
| | - Laura Dobisch
- German Center for Neurodegenerative Diseases (DZNE), Leipziger Straße 44, Magdeburg 39120, Germany; Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany
| | - Coraline D Metzger
- German Center for Neurodegenerative Diseases (DZNE), Leipziger Straße 44, Magdeburg 39120, Germany; Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany; Department of Psychiatry and Psychotherapy, Otto-von-Guericke University, Magdeburg, Germany
| | - Wenzel Glanz
- German Center for Neurodegenerative Diseases (DZNE), Leipziger Straße 44, Magdeburg 39120, Germany
| | - Michael Ewers
- German Center for Neurodegenerative Diseases (DZNE), Feodor-Lynen-Strasse 17, Munich 81377, Germany
| | - Peter Dechent
- MR-Research in Neurosciences, Department of Cognitive Neurology, Georg-August-University Göttingen, Göttingen, Germany
| | - John Dylan Haynes
- Bernstein Center for Computational Neurosciences, Charité - Universitätsmedizin, Berlin, Germany
| | - Klaus Scheffler
- Department for Biomedical Magnetic Resonance, University of Tübingen, 72076 Tübingen, Germany
| | - Nina Roy
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn 53127, Germany
| | - Ayda Rostamzadeh
- Department of Psychiatry, University of Cologne, Medical Faculty, Kerpener Strasse 62, 50924 Cologne, Germany
| | - Charlotte E Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam University Medical centers, Vrije Universiteit, Amsterdam, the Netherlands
| | | | - Annika Spottke
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn 53127, Germany; Department of Neurology, University of Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Mathias Jucker
- Hertie Institute for Clinical Brain Research, Department of Cellular Neurology, University of Tübingen, Otfried-Müller-Strasse 27, 72076 Tübingen, Germany; German Center for Neurodegenerative Diseases (DZNE), Otfried-Müller-Straße 27, Tübingen 72076, Germany
| | - Eicke Latz
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn 53127, Germany; University of Bonn Medical Center, Institute of Innate Immune, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Michael Wagner
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn 53127, Germany; Department of Neurodegenerative Disease and Geriatric Psychiatry/Neurology, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - David Mengel
- German Center for Neurodegenerative Diseases (DZNE), Otfried-Müller-Straße 27, Tübingen 72076, Germany; Division Translational Genomics of Neurodegenerative Diseases, Center for Neurology and Hertie Institute for Clinical Brain Research, University of Tübingen, Otfried-Müller-Strasse 27, 72076 Tübingen, Germany
| | - Matthis Synofzik
- German Center for Neurodegenerative Diseases (DZNE), Otfried-Müller-Straße 27, Tübingen 72076, Germany; Division Translational Genomics of Neurodegenerative Diseases, Center for Neurology and Hertie Institute for Clinical Brain Research, University of Tübingen, Otfried-Müller-Strasse 27, 72076 Tübingen, Germany
| | - Frank Jessen
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn 53127, Germany; Department of Psychiatry, University of Cologne, Medical Faculty, Kerpener Strasse 62, 50924 Cologne, Germany; Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Joseph-Stelzmann-Strasse 26, 50931 Köln, Germany
| | - Alfredo Ramirez
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn 53127, Germany; Department of Neurodegenerative Disease and Geriatric Psychiatry/Neurology, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany; Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Joseph-Stelzmann-Strasse 26, 50931 Köln, Germany; Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany; Department of Psychiatry & Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, San Antonio, TX, USA
| | - Agustín Ruiz
- Research Center and Memory Clinic, Fundacío ACE Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain; Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Michael T Heneka
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn 53127, Germany; Department of Neurodegenerative Disease and Geriatric Psychiatry/Neurology, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany; Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 7 avenue des Hauts Fourneaux, 4362 Esch-sur- Alzette, Luxembourg; Department of Infectious Diseases and Immunology, University of Massachusetts Medical School, 55 Lake Avenue, North Worcester, Massachusetts 01655, USA.
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Hao Y, Liu X, Zhu R. Neurodegeneration and Glial Activation Related CSF Biomarker as the Diagnosis of Alzheimer's Disease: A Systematic Review and an Updated Meta-analysis. Curr Alzheimer Res 2021; 19:32-46. [PMID: 34879804 DOI: 10.2174/1567205018666211208142702] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 09/29/2021] [Accepted: 10/21/2021] [Indexed: 11/22/2022]
Abstract
OBJECTIVE Recently, neuron specific enolase (NSE), Visinin-like protein-1 (VLP-1), neurogranin (Ng), and YKL-40 have been identified as candidates for neuronal degeneration and glial activation biomarkers. Therefore, we perform a comprehensive meta-analysis to assess the diagnostic value of CSF NSE, VLP-1, Ng and YKL-40 in Alzheimer's disease (AD). METHODS We searched Pubmed, MEDLINE, EMBASE databases for research about the levels of CSF NSE, VLP-1, Ng and YKL-40 in AD patients compared with controls or other dementia diseases until Dec 2020. RESULTS The present meta-analysis contained a total of 51 studies comprising 6248 patients with dementia disorders and 3861 controls. Among them, there were 3262 patients with AD, 2456 patients with mild cognitive impairment (MCI), 173 patients with vascular dementia (VaD), 221 patients with frontotemporal dementia (FTD), and 136 with Lewy bodies dementia (DLB). Our study demonstrated that CSF NSE, VLP-1, Ng and YKL-40 levels were increased in AD as compared to healthy controls. We also observed that the CSF NSE level was higher in AD than VaD, suggesting CSF NSE might act as a key role in distinguishing between AD and VaD. Interestingly, there was a higher VLP-1 expression in AD, and a lower expression in DLB patients. Moreover, we found the CSF Ng level was increased in AD than MCI, implying CSF Ng might be a biomarker for identifying the progression of AD. Additionally, a significantly higher CSF YKL-40 level was detected not only in AD, but also in FTD, DLB, VaD, signifying YKL-40 was not sensitive in the diagnosis of AD. CONCLUSION Our study confirmed that CSF levels of NSE, VLP-1, and Ng could be valuable biomarkers for identifying patients who are more susceptible to AD and distinguishing AD from other neurodegenerative dementia disorders.
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Affiliation(s)
- Yuehan Hao
- Department of Neurology, The First Affiliated Hospital of China Medical University, Shenyang 110001. China
| | - Xu Liu
- Department of Neurology, The First Affiliated Hospital of China Medical University, Shenyang 110001. China
| | - Ruixia Zhu
- Department of Neurology, The First Affiliated Hospital of China Medical University, Shenyang 110001. China
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30
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Milà-Alomà M, Brinkmalm A, Ashton NJ, Kvartsberg H, Shekari M, Operto G, Salvadó G, Falcon C, Gispert JD, Vilor-Tejedor N, Arenaza-Urquijo EM, Grau-Rivera O, Sala-Vila A, Sanchez-Benavides G, González-de-Echávarri JM, Minguillon C, Fauria K, Niñerola-Baizán A, Perissinotti A, Kollmorgen G, Suridjan I, Zetterberg H, Molinuevo JL, Blennow K, Suárez-Calvet M. CSF Synaptic Biomarkers in the Preclinical Stage of Alzheimer Disease and Their Association With MRI and PET: A Cross-sectional Study. Neurology 2021; 97:e2065-e2078. [PMID: 34556565 PMCID: PMC8610620 DOI: 10.1212/wnl.0000000000012853] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 09/08/2021] [Indexed: 12/05/2022] Open
Abstract
Background and Objectives To determine whether CSF synaptic biomarkers are altered in the early preclinical stage of the Alzheimer continuum and associated with Alzheimer disease (AD) risk factors, primary pathology, and neurodegeneration markers. Methods This cross-sectional study was performed in the Alzheimer's and Families (ALFA+) cohort, comprising middle-aged cognitively unimpaired participants. CSF neurogranin and growth-associated protein-43 (GAP-43) were measured with immunoassays, and synaptosomal-associated protein-25 (SNAP-25) and synaptotagmin-1 were measured with immunoprecipitation mass spectrometry. AD CSF biomarkers β-amyloid (Aβ)42/40, phosphorylated tau (p-tau), and total tau and the neurodegeneration biomarker neurofilament light chain (NfL) were also measured. Participants underwent structural MRI and fluorodeoxyglucose and Aβ PET imaging. General linear modeling was used to test the associations between CSF synaptic biomarkers and risk factors, Aβ pathology, tau pathology, and neurodegeneration markers. Results All CSF synaptic biomarkers increased with age. CSF neurogranin was higher in females, while CSF SNAP-25 was higher in APOE ε4 carriers. All CSF synaptic biomarkers increased with higher Aβ load (as measured by CSF Aβ42/40 and Aβ PET Centiloid values), and it is important to note that the synaptic biomarkers were increased even in individuals in the earliest stages of Aβ deposition. Higher CSF synaptic biomarkers were also associated with higher CSF p-tau and NfL. Higher CSF neurogranin and GAP-43 were significantly associated with higher brain metabolism but lower cortical thickness in AD-related brain regions. Discussion CSF synaptic biomarkers increase in the early preclinical stages of the Alzheimer continuum even when a low burden of Aβ pathology is present, and they differ in their association with age, sex, APOE ε4, and markers of neurodegeneration. Trial Registration Information ClinicalTrials.gov Identifier NCT02485730.
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Affiliation(s)
- Marta Milà-Alomà
- From the Barcelonaβeta Brain Research Center (BBRC) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., N.V.-T., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., K.F., J.L.M., M.S.-C.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., M.S.-C.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) (M.M.-A., G.O., E.M.A.-U., O.G.-R., G.S.-B., C.M., K.F., M.S.-C.), Madrid; Universitat Pompeu Fabra (M.M.-A., M.S.), Barcelona, Spain; Department of Psychiatry and Neurochemistry (A.B., N.J.A., H.K., H.Z., K.B.), Institute of Neuroscience and Physiology, University of Gothenburg; Clinical Neurochemistry Laboratory (A.B., H.K., H.Z., K.B.), Sahlgrenska University Hospital, Mölndal; Wallenberg Centre for Molecular and Translational Medicine (A.B., N.J.A., H.K.), Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Sweden; King's College London (N.J.A.), Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute; NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation (N.J.A.), London, UK; Centro de Investigación Biomédica en Red de Bioingeniería (C.F., J.D.G., A.N.-B., A.P.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; Centre for Genomic Regulation (CRG) (N.V.-T.), Barcelona Institute for Science and Technology; Department of Clinical Genetics (N.V.-T.), Erasmus MC, University Medical Center Rotterdam, the Netherlands; Servei de Neurologia (O.G.-R., M.S.-C.), Hospital del Mar; Servei de Medicina Nuclear (A.N.-B., A.P.), Hospital Clínic, Barcelona, Spain; Roche Diagnostics GmbH (G.K.), Penzberg, Germany; Roche Diagnostics International Ltd (I.S.), Rotkreuz, Switzerland; UK Dementia Research Institute at UCL (H.Z.), London; Department of Neurodegenerative Disease (H.Z.), UCL Queen Square Institute of Neurology, London, UK; and H. Lundbeck A/S (J.L.M.), Copenhagen, Denmark
| | - Ann Brinkmalm
- From the Barcelonaβeta Brain Research Center (BBRC) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., N.V.-T., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., K.F., J.L.M., M.S.-C.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., M.S.-C.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) (M.M.-A., G.O., E.M.A.-U., O.G.-R., G.S.-B., C.M., K.F., M.S.-C.), Madrid; Universitat Pompeu Fabra (M.M.-A., M.S.), Barcelona, Spain; Department of Psychiatry and Neurochemistry (A.B., N.J.A., H.K., H.Z., K.B.), Institute of Neuroscience and Physiology, University of Gothenburg; Clinical Neurochemistry Laboratory (A.B., H.K., H.Z., K.B.), Sahlgrenska University Hospital, Mölndal; Wallenberg Centre for Molecular and Translational Medicine (A.B., N.J.A., H.K.), Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Sweden; King's College London (N.J.A.), Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute; NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation (N.J.A.), London, UK; Centro de Investigación Biomédica en Red de Bioingeniería (C.F., J.D.G., A.N.-B., A.P.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; Centre for Genomic Regulation (CRG) (N.V.-T.), Barcelona Institute for Science and Technology; Department of Clinical Genetics (N.V.-T.), Erasmus MC, University Medical Center Rotterdam, the Netherlands; Servei de Neurologia (O.G.-R., M.S.-C.), Hospital del Mar; Servei de Medicina Nuclear (A.N.-B., A.P.), Hospital Clínic, Barcelona, Spain; Roche Diagnostics GmbH (G.K.), Penzberg, Germany; Roche Diagnostics International Ltd (I.S.), Rotkreuz, Switzerland; UK Dementia Research Institute at UCL (H.Z.), London; Department of Neurodegenerative Disease (H.Z.), UCL Queen Square Institute of Neurology, London, UK; and H. Lundbeck A/S (J.L.M.), Copenhagen, Denmark
| | - Nicholas J Ashton
- From the Barcelonaβeta Brain Research Center (BBRC) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., N.V.-T., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., K.F., J.L.M., M.S.-C.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., M.S.-C.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) (M.M.-A., G.O., E.M.A.-U., O.G.-R., G.S.-B., C.M., K.F., M.S.-C.), Madrid; Universitat Pompeu Fabra (M.M.-A., M.S.), Barcelona, Spain; Department of Psychiatry and Neurochemistry (A.B., N.J.A., H.K., H.Z., K.B.), Institute of Neuroscience and Physiology, University of Gothenburg; Clinical Neurochemistry Laboratory (A.B., H.K., H.Z., K.B.), Sahlgrenska University Hospital, Mölndal; Wallenberg Centre for Molecular and Translational Medicine (A.B., N.J.A., H.K.), Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Sweden; King's College London (N.J.A.), Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute; NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation (N.J.A.), London, UK; Centro de Investigación Biomédica en Red de Bioingeniería (C.F., J.D.G., A.N.-B., A.P.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; Centre for Genomic Regulation (CRG) (N.V.-T.), Barcelona Institute for Science and Technology; Department of Clinical Genetics (N.V.-T.), Erasmus MC, University Medical Center Rotterdam, the Netherlands; Servei de Neurologia (O.G.-R., M.S.-C.), Hospital del Mar; Servei de Medicina Nuclear (A.N.-B., A.P.), Hospital Clínic, Barcelona, Spain; Roche Diagnostics GmbH (G.K.), Penzberg, Germany; Roche Diagnostics International Ltd (I.S.), Rotkreuz, Switzerland; UK Dementia Research Institute at UCL (H.Z.), London; Department of Neurodegenerative Disease (H.Z.), UCL Queen Square Institute of Neurology, London, UK; and H. Lundbeck A/S (J.L.M.), Copenhagen, Denmark
| | - Hlin Kvartsberg
- From the Barcelonaβeta Brain Research Center (BBRC) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., N.V.-T., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., K.F., J.L.M., M.S.-C.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., M.S.-C.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) (M.M.-A., G.O., E.M.A.-U., O.G.-R., G.S.-B., C.M., K.F., M.S.-C.), Madrid; Universitat Pompeu Fabra (M.M.-A., M.S.), Barcelona, Spain; Department of Psychiatry and Neurochemistry (A.B., N.J.A., H.K., H.Z., K.B.), Institute of Neuroscience and Physiology, University of Gothenburg; Clinical Neurochemistry Laboratory (A.B., H.K., H.Z., K.B.), Sahlgrenska University Hospital, Mölndal; Wallenberg Centre for Molecular and Translational Medicine (A.B., N.J.A., H.K.), Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Sweden; King's College London (N.J.A.), Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute; NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation (N.J.A.), London, UK; Centro de Investigación Biomédica en Red de Bioingeniería (C.F., J.D.G., A.N.-B., A.P.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; Centre for Genomic Regulation (CRG) (N.V.-T.), Barcelona Institute for Science and Technology; Department of Clinical Genetics (N.V.-T.), Erasmus MC, University Medical Center Rotterdam, the Netherlands; Servei de Neurologia (O.G.-R., M.S.-C.), Hospital del Mar; Servei de Medicina Nuclear (A.N.-B., A.P.), Hospital Clínic, Barcelona, Spain; Roche Diagnostics GmbH (G.K.), Penzberg, Germany; Roche Diagnostics International Ltd (I.S.), Rotkreuz, Switzerland; UK Dementia Research Institute at UCL (H.Z.), London; Department of Neurodegenerative Disease (H.Z.), UCL Queen Square Institute of Neurology, London, UK; and H. Lundbeck A/S (J.L.M.), Copenhagen, Denmark
| | - Mahnaz Shekari
- From the Barcelonaβeta Brain Research Center (BBRC) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., N.V.-T., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., K.F., J.L.M., M.S.-C.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., M.S.-C.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) (M.M.-A., G.O., E.M.A.-U., O.G.-R., G.S.-B., C.M., K.F., M.S.-C.), Madrid; Universitat Pompeu Fabra (M.M.-A., M.S.), Barcelona, Spain; Department of Psychiatry and Neurochemistry (A.B., N.J.A., H.K., H.Z., K.B.), Institute of Neuroscience and Physiology, University of Gothenburg; Clinical Neurochemistry Laboratory (A.B., H.K., H.Z., K.B.), Sahlgrenska University Hospital, Mölndal; Wallenberg Centre for Molecular and Translational Medicine (A.B., N.J.A., H.K.), Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Sweden; King's College London (N.J.A.), Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute; NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation (N.J.A.), London, UK; Centro de Investigación Biomédica en Red de Bioingeniería (C.F., J.D.G., A.N.-B., A.P.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; Centre for Genomic Regulation (CRG) (N.V.-T.), Barcelona Institute for Science and Technology; Department of Clinical Genetics (N.V.-T.), Erasmus MC, University Medical Center Rotterdam, the Netherlands; Servei de Neurologia (O.G.-R., M.S.-C.), Hospital del Mar; Servei de Medicina Nuclear (A.N.-B., A.P.), Hospital Clínic, Barcelona, Spain; Roche Diagnostics GmbH (G.K.), Penzberg, Germany; Roche Diagnostics International Ltd (I.S.), Rotkreuz, Switzerland; UK Dementia Research Institute at UCL (H.Z.), London; Department of Neurodegenerative Disease (H.Z.), UCL Queen Square Institute of Neurology, London, UK; and H. Lundbeck A/S (J.L.M.), Copenhagen, Denmark
| | - Grégory Operto
- From the Barcelonaβeta Brain Research Center (BBRC) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., N.V.-T., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., K.F., J.L.M., M.S.-C.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., M.S.-C.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) (M.M.-A., G.O., E.M.A.-U., O.G.-R., G.S.-B., C.M., K.F., M.S.-C.), Madrid; Universitat Pompeu Fabra (M.M.-A., M.S.), Barcelona, Spain; Department of Psychiatry and Neurochemistry (A.B., N.J.A., H.K., H.Z., K.B.), Institute of Neuroscience and Physiology, University of Gothenburg; Clinical Neurochemistry Laboratory (A.B., H.K., H.Z., K.B.), Sahlgrenska University Hospital, Mölndal; Wallenberg Centre for Molecular and Translational Medicine (A.B., N.J.A., H.K.), Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Sweden; King's College London (N.J.A.), Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute; NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation (N.J.A.), London, UK; Centro de Investigación Biomédica en Red de Bioingeniería (C.F., J.D.G., A.N.-B., A.P.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; Centre for Genomic Regulation (CRG) (N.V.-T.), Barcelona Institute for Science and Technology; Department of Clinical Genetics (N.V.-T.), Erasmus MC, University Medical Center Rotterdam, the Netherlands; Servei de Neurologia (O.G.-R., M.S.-C.), Hospital del Mar; Servei de Medicina Nuclear (A.N.-B., A.P.), Hospital Clínic, Barcelona, Spain; Roche Diagnostics GmbH (G.K.), Penzberg, Germany; Roche Diagnostics International Ltd (I.S.), Rotkreuz, Switzerland; UK Dementia Research Institute at UCL (H.Z.), London; Department of Neurodegenerative Disease (H.Z.), UCL Queen Square Institute of Neurology, London, UK; and H. Lundbeck A/S (J.L.M.), Copenhagen, Denmark
| | - Gemma Salvadó
- From the Barcelonaβeta Brain Research Center (BBRC) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., N.V.-T., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., K.F., J.L.M., M.S.-C.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., M.S.-C.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) (M.M.-A., G.O., E.M.A.-U., O.G.-R., G.S.-B., C.M., K.F., M.S.-C.), Madrid; Universitat Pompeu Fabra (M.M.-A., M.S.), Barcelona, Spain; Department of Psychiatry and Neurochemistry (A.B., N.J.A., H.K., H.Z., K.B.), Institute of Neuroscience and Physiology, University of Gothenburg; Clinical Neurochemistry Laboratory (A.B., H.K., H.Z., K.B.), Sahlgrenska University Hospital, Mölndal; Wallenberg Centre for Molecular and Translational Medicine (A.B., N.J.A., H.K.), Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Sweden; King's College London (N.J.A.), Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute; NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation (N.J.A.), London, UK; Centro de Investigación Biomédica en Red de Bioingeniería (C.F., J.D.G., A.N.-B., A.P.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; Centre for Genomic Regulation (CRG) (N.V.-T.), Barcelona Institute for Science and Technology; Department of Clinical Genetics (N.V.-T.), Erasmus MC, University Medical Center Rotterdam, the Netherlands; Servei de Neurologia (O.G.-R., M.S.-C.), Hospital del Mar; Servei de Medicina Nuclear (A.N.-B., A.P.), Hospital Clínic, Barcelona, Spain; Roche Diagnostics GmbH (G.K.), Penzberg, Germany; Roche Diagnostics International Ltd (I.S.), Rotkreuz, Switzerland; UK Dementia Research Institute at UCL (H.Z.), London; Department of Neurodegenerative Disease (H.Z.), UCL Queen Square Institute of Neurology, London, UK; and H. Lundbeck A/S (J.L.M.), Copenhagen, Denmark
| | - Carles Falcon
- From the Barcelonaβeta Brain Research Center (BBRC) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., N.V.-T., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., K.F., J.L.M., M.S.-C.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., M.S.-C.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) (M.M.-A., G.O., E.M.A.-U., O.G.-R., G.S.-B., C.M., K.F., M.S.-C.), Madrid; Universitat Pompeu Fabra (M.M.-A., M.S.), Barcelona, Spain; Department of Psychiatry and Neurochemistry (A.B., N.J.A., H.K., H.Z., K.B.), Institute of Neuroscience and Physiology, University of Gothenburg; Clinical Neurochemistry Laboratory (A.B., H.K., H.Z., K.B.), Sahlgrenska University Hospital, Mölndal; Wallenberg Centre for Molecular and Translational Medicine (A.B., N.J.A., H.K.), Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Sweden; King's College London (N.J.A.), Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute; NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation (N.J.A.), London, UK; Centro de Investigación Biomédica en Red de Bioingeniería (C.F., J.D.G., A.N.-B., A.P.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; Centre for Genomic Regulation (CRG) (N.V.-T.), Barcelona Institute for Science and Technology; Department of Clinical Genetics (N.V.-T.), Erasmus MC, University Medical Center Rotterdam, the Netherlands; Servei de Neurologia (O.G.-R., M.S.-C.), Hospital del Mar; Servei de Medicina Nuclear (A.N.-B., A.P.), Hospital Clínic, Barcelona, Spain; Roche Diagnostics GmbH (G.K.), Penzberg, Germany; Roche Diagnostics International Ltd (I.S.), Rotkreuz, Switzerland; UK Dementia Research Institute at UCL (H.Z.), London; Department of Neurodegenerative Disease (H.Z.), UCL Queen Square Institute of Neurology, London, UK; and H. Lundbeck A/S (J.L.M.), Copenhagen, Denmark
| | - Juan Domingo Gispert
- From the Barcelonaβeta Brain Research Center (BBRC) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., N.V.-T., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., K.F., J.L.M., M.S.-C.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., M.S.-C.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) (M.M.-A., G.O., E.M.A.-U., O.G.-R., G.S.-B., C.M., K.F., M.S.-C.), Madrid; Universitat Pompeu Fabra (M.M.-A., M.S.), Barcelona, Spain; Department of Psychiatry and Neurochemistry (A.B., N.J.A., H.K., H.Z., K.B.), Institute of Neuroscience and Physiology, University of Gothenburg; Clinical Neurochemistry Laboratory (A.B., H.K., H.Z., K.B.), Sahlgrenska University Hospital, Mölndal; Wallenberg Centre for Molecular and Translational Medicine (A.B., N.J.A., H.K.), Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Sweden; King's College London (N.J.A.), Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute; NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation (N.J.A.), London, UK; Centro de Investigación Biomédica en Red de Bioingeniería (C.F., J.D.G., A.N.-B., A.P.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; Centre for Genomic Regulation (CRG) (N.V.-T.), Barcelona Institute for Science and Technology; Department of Clinical Genetics (N.V.-T.), Erasmus MC, University Medical Center Rotterdam, the Netherlands; Servei de Neurologia (O.G.-R., M.S.-C.), Hospital del Mar; Servei de Medicina Nuclear (A.N.-B., A.P.), Hospital Clínic, Barcelona, Spain; Roche Diagnostics GmbH (G.K.), Penzberg, Germany; Roche Diagnostics International Ltd (I.S.), Rotkreuz, Switzerland; UK Dementia Research Institute at UCL (H.Z.), London; Department of Neurodegenerative Disease (H.Z.), UCL Queen Square Institute of Neurology, London, UK; and H. Lundbeck A/S (J.L.M.), Copenhagen, Denmark
| | - Natalia Vilor-Tejedor
- From the Barcelonaβeta Brain Research Center (BBRC) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., N.V.-T., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., K.F., J.L.M., M.S.-C.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., M.S.-C.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) (M.M.-A., G.O., E.M.A.-U., O.G.-R., G.S.-B., C.M., K.F., M.S.-C.), Madrid; Universitat Pompeu Fabra (M.M.-A., M.S.), Barcelona, Spain; Department of Psychiatry and Neurochemistry (A.B., N.J.A., H.K., H.Z., K.B.), Institute of Neuroscience and Physiology, University of Gothenburg; Clinical Neurochemistry Laboratory (A.B., H.K., H.Z., K.B.), Sahlgrenska University Hospital, Mölndal; Wallenberg Centre for Molecular and Translational Medicine (A.B., N.J.A., H.K.), Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Sweden; King's College London (N.J.A.), Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute; NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation (N.J.A.), London, UK; Centro de Investigación Biomédica en Red de Bioingeniería (C.F., J.D.G., A.N.-B., A.P.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; Centre for Genomic Regulation (CRG) (N.V.-T.), Barcelona Institute for Science and Technology; Department of Clinical Genetics (N.V.-T.), Erasmus MC, University Medical Center Rotterdam, the Netherlands; Servei de Neurologia (O.G.-R., M.S.-C.), Hospital del Mar; Servei de Medicina Nuclear (A.N.-B., A.P.), Hospital Clínic, Barcelona, Spain; Roche Diagnostics GmbH (G.K.), Penzberg, Germany; Roche Diagnostics International Ltd (I.S.), Rotkreuz, Switzerland; UK Dementia Research Institute at UCL (H.Z.), London; Department of Neurodegenerative Disease (H.Z.), UCL Queen Square Institute of Neurology, London, UK; and H. Lundbeck A/S (J.L.M.), Copenhagen, Denmark
| | - Eider M Arenaza-Urquijo
- From the Barcelonaβeta Brain Research Center (BBRC) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., N.V.-T., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., K.F., J.L.M., M.S.-C.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., M.S.-C.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) (M.M.-A., G.O., E.M.A.-U., O.G.-R., G.S.-B., C.M., K.F., M.S.-C.), Madrid; Universitat Pompeu Fabra (M.M.-A., M.S.), Barcelona, Spain; Department of Psychiatry and Neurochemistry (A.B., N.J.A., H.K., H.Z., K.B.), Institute of Neuroscience and Physiology, University of Gothenburg; Clinical Neurochemistry Laboratory (A.B., H.K., H.Z., K.B.), Sahlgrenska University Hospital, Mölndal; Wallenberg Centre for Molecular and Translational Medicine (A.B., N.J.A., H.K.), Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Sweden; King's College London (N.J.A.), Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute; NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation (N.J.A.), London, UK; Centro de Investigación Biomédica en Red de Bioingeniería (C.F., J.D.G., A.N.-B., A.P.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; Centre for Genomic Regulation (CRG) (N.V.-T.), Barcelona Institute for Science and Technology; Department of Clinical Genetics (N.V.-T.), Erasmus MC, University Medical Center Rotterdam, the Netherlands; Servei de Neurologia (O.G.-R., M.S.-C.), Hospital del Mar; Servei de Medicina Nuclear (A.N.-B., A.P.), Hospital Clínic, Barcelona, Spain; Roche Diagnostics GmbH (G.K.), Penzberg, Germany; Roche Diagnostics International Ltd (I.S.), Rotkreuz, Switzerland; UK Dementia Research Institute at UCL (H.Z.), London; Department of Neurodegenerative Disease (H.Z.), UCL Queen Square Institute of Neurology, London, UK; and H. Lundbeck A/S (J.L.M.), Copenhagen, Denmark
| | - Oriol Grau-Rivera
- From the Barcelonaβeta Brain Research Center (BBRC) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., N.V.-T., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., K.F., J.L.M., M.S.-C.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., M.S.-C.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) (M.M.-A., G.O., E.M.A.-U., O.G.-R., G.S.-B., C.M., K.F., M.S.-C.), Madrid; Universitat Pompeu Fabra (M.M.-A., M.S.), Barcelona, Spain; Department of Psychiatry and Neurochemistry (A.B., N.J.A., H.K., H.Z., K.B.), Institute of Neuroscience and Physiology, University of Gothenburg; Clinical Neurochemistry Laboratory (A.B., H.K., H.Z., K.B.), Sahlgrenska University Hospital, Mölndal; Wallenberg Centre for Molecular and Translational Medicine (A.B., N.J.A., H.K.), Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Sweden; King's College London (N.J.A.), Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute; NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation (N.J.A.), London, UK; Centro de Investigación Biomédica en Red de Bioingeniería (C.F., J.D.G., A.N.-B., A.P.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; Centre for Genomic Regulation (CRG) (N.V.-T.), Barcelona Institute for Science and Technology; Department of Clinical Genetics (N.V.-T.), Erasmus MC, University Medical Center Rotterdam, the Netherlands; Servei de Neurologia (O.G.-R., M.S.-C.), Hospital del Mar; Servei de Medicina Nuclear (A.N.-B., A.P.), Hospital Clínic, Barcelona, Spain; Roche Diagnostics GmbH (G.K.), Penzberg, Germany; Roche Diagnostics International Ltd (I.S.), Rotkreuz, Switzerland; UK Dementia Research Institute at UCL (H.Z.), London; Department of Neurodegenerative Disease (H.Z.), UCL Queen Square Institute of Neurology, London, UK; and H. Lundbeck A/S (J.L.M.), Copenhagen, Denmark
| | - Aleix Sala-Vila
- From the Barcelonaβeta Brain Research Center (BBRC) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., N.V.-T., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., K.F., J.L.M., M.S.-C.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., M.S.-C.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) (M.M.-A., G.O., E.M.A.-U., O.G.-R., G.S.-B., C.M., K.F., M.S.-C.), Madrid; Universitat Pompeu Fabra (M.M.-A., M.S.), Barcelona, Spain; Department of Psychiatry and Neurochemistry (A.B., N.J.A., H.K., H.Z., K.B.), Institute of Neuroscience and Physiology, University of Gothenburg; Clinical Neurochemistry Laboratory (A.B., H.K., H.Z., K.B.), Sahlgrenska University Hospital, Mölndal; Wallenberg Centre for Molecular and Translational Medicine (A.B., N.J.A., H.K.), Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Sweden; King's College London (N.J.A.), Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute; NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation (N.J.A.), London, UK; Centro de Investigación Biomédica en Red de Bioingeniería (C.F., J.D.G., A.N.-B., A.P.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; Centre for Genomic Regulation (CRG) (N.V.-T.), Barcelona Institute for Science and Technology; Department of Clinical Genetics (N.V.-T.), Erasmus MC, University Medical Center Rotterdam, the Netherlands; Servei de Neurologia (O.G.-R., M.S.-C.), Hospital del Mar; Servei de Medicina Nuclear (A.N.-B., A.P.), Hospital Clínic, Barcelona, Spain; Roche Diagnostics GmbH (G.K.), Penzberg, Germany; Roche Diagnostics International Ltd (I.S.), Rotkreuz, Switzerland; UK Dementia Research Institute at UCL (H.Z.), London; Department of Neurodegenerative Disease (H.Z.), UCL Queen Square Institute of Neurology, London, UK; and H. Lundbeck A/S (J.L.M.), Copenhagen, Denmark
| | - Gonzalo Sanchez-Benavides
- From the Barcelonaβeta Brain Research Center (BBRC) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., N.V.-T., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., K.F., J.L.M., M.S.-C.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., M.S.-C.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) (M.M.-A., G.O., E.M.A.-U., O.G.-R., G.S.-B., C.M., K.F., M.S.-C.), Madrid; Universitat Pompeu Fabra (M.M.-A., M.S.), Barcelona, Spain; Department of Psychiatry and Neurochemistry (A.B., N.J.A., H.K., H.Z., K.B.), Institute of Neuroscience and Physiology, University of Gothenburg; Clinical Neurochemistry Laboratory (A.B., H.K., H.Z., K.B.), Sahlgrenska University Hospital, Mölndal; Wallenberg Centre for Molecular and Translational Medicine (A.B., N.J.A., H.K.), Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Sweden; King's College London (N.J.A.), Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute; NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation (N.J.A.), London, UK; Centro de Investigación Biomédica en Red de Bioingeniería (C.F., J.D.G., A.N.-B., A.P.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; Centre for Genomic Regulation (CRG) (N.V.-T.), Barcelona Institute for Science and Technology; Department of Clinical Genetics (N.V.-T.), Erasmus MC, University Medical Center Rotterdam, the Netherlands; Servei de Neurologia (O.G.-R., M.S.-C.), Hospital del Mar; Servei de Medicina Nuclear (A.N.-B., A.P.), Hospital Clínic, Barcelona, Spain; Roche Diagnostics GmbH (G.K.), Penzberg, Germany; Roche Diagnostics International Ltd (I.S.), Rotkreuz, Switzerland; UK Dementia Research Institute at UCL (H.Z.), London; Department of Neurodegenerative Disease (H.Z.), UCL Queen Square Institute of Neurology, London, UK; and H. Lundbeck A/S (J.L.M.), Copenhagen, Denmark
| | - José María González-de-Echávarri
- From the Barcelonaβeta Brain Research Center (BBRC) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., N.V.-T., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., K.F., J.L.M., M.S.-C.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., M.S.-C.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) (M.M.-A., G.O., E.M.A.-U., O.G.-R., G.S.-B., C.M., K.F., M.S.-C.), Madrid; Universitat Pompeu Fabra (M.M.-A., M.S.), Barcelona, Spain; Department of Psychiatry and Neurochemistry (A.B., N.J.A., H.K., H.Z., K.B.), Institute of Neuroscience and Physiology, University of Gothenburg; Clinical Neurochemistry Laboratory (A.B., H.K., H.Z., K.B.), Sahlgrenska University Hospital, Mölndal; Wallenberg Centre for Molecular and Translational Medicine (A.B., N.J.A., H.K.), Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Sweden; King's College London (N.J.A.), Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute; NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation (N.J.A.), London, UK; Centro de Investigación Biomédica en Red de Bioingeniería (C.F., J.D.G., A.N.-B., A.P.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; Centre for Genomic Regulation (CRG) (N.V.-T.), Barcelona Institute for Science and Technology; Department of Clinical Genetics (N.V.-T.), Erasmus MC, University Medical Center Rotterdam, the Netherlands; Servei de Neurologia (O.G.-R., M.S.-C.), Hospital del Mar; Servei de Medicina Nuclear (A.N.-B., A.P.), Hospital Clínic, Barcelona, Spain; Roche Diagnostics GmbH (G.K.), Penzberg, Germany; Roche Diagnostics International Ltd (I.S.), Rotkreuz, Switzerland; UK Dementia Research Institute at UCL (H.Z.), London; Department of Neurodegenerative Disease (H.Z.), UCL Queen Square Institute of Neurology, London, UK; and H. Lundbeck A/S (J.L.M.), Copenhagen, Denmark
| | - Carolina Minguillon
- From the Barcelonaβeta Brain Research Center (BBRC) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., N.V.-T., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., K.F., J.L.M., M.S.-C.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., M.S.-C.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) (M.M.-A., G.O., E.M.A.-U., O.G.-R., G.S.-B., C.M., K.F., M.S.-C.), Madrid; Universitat Pompeu Fabra (M.M.-A., M.S.), Barcelona, Spain; Department of Psychiatry and Neurochemistry (A.B., N.J.A., H.K., H.Z., K.B.), Institute of Neuroscience and Physiology, University of Gothenburg; Clinical Neurochemistry Laboratory (A.B., H.K., H.Z., K.B.), Sahlgrenska University Hospital, Mölndal; Wallenberg Centre for Molecular and Translational Medicine (A.B., N.J.A., H.K.), Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Sweden; King's College London (N.J.A.), Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute; NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation (N.J.A.), London, UK; Centro de Investigación Biomédica en Red de Bioingeniería (C.F., J.D.G., A.N.-B., A.P.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; Centre for Genomic Regulation (CRG) (N.V.-T.), Barcelona Institute for Science and Technology; Department of Clinical Genetics (N.V.-T.), Erasmus MC, University Medical Center Rotterdam, the Netherlands; Servei de Neurologia (O.G.-R., M.S.-C.), Hospital del Mar; Servei de Medicina Nuclear (A.N.-B., A.P.), Hospital Clínic, Barcelona, Spain; Roche Diagnostics GmbH (G.K.), Penzberg, Germany; Roche Diagnostics International Ltd (I.S.), Rotkreuz, Switzerland; UK Dementia Research Institute at UCL (H.Z.), London; Department of Neurodegenerative Disease (H.Z.), UCL Queen Square Institute of Neurology, London, UK; and H. Lundbeck A/S (J.L.M.), Copenhagen, Denmark
| | - Karine Fauria
- From the Barcelonaβeta Brain Research Center (BBRC) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., N.V.-T., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., K.F., J.L.M., M.S.-C.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., M.S.-C.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) (M.M.-A., G.O., E.M.A.-U., O.G.-R., G.S.-B., C.M., K.F., M.S.-C.), Madrid; Universitat Pompeu Fabra (M.M.-A., M.S.), Barcelona, Spain; Department of Psychiatry and Neurochemistry (A.B., N.J.A., H.K., H.Z., K.B.), Institute of Neuroscience and Physiology, University of Gothenburg; Clinical Neurochemistry Laboratory (A.B., H.K., H.Z., K.B.), Sahlgrenska University Hospital, Mölndal; Wallenberg Centre for Molecular and Translational Medicine (A.B., N.J.A., H.K.), Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Sweden; King's College London (N.J.A.), Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute; NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation (N.J.A.), London, UK; Centro de Investigación Biomédica en Red de Bioingeniería (C.F., J.D.G., A.N.-B., A.P.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; Centre for Genomic Regulation (CRG) (N.V.-T.), Barcelona Institute for Science and Technology; Department of Clinical Genetics (N.V.-T.), Erasmus MC, University Medical Center Rotterdam, the Netherlands; Servei de Neurologia (O.G.-R., M.S.-C.), Hospital del Mar; Servei de Medicina Nuclear (A.N.-B., A.P.), Hospital Clínic, Barcelona, Spain; Roche Diagnostics GmbH (G.K.), Penzberg, Germany; Roche Diagnostics International Ltd (I.S.), Rotkreuz, Switzerland; UK Dementia Research Institute at UCL (H.Z.), London; Department of Neurodegenerative Disease (H.Z.), UCL Queen Square Institute of Neurology, London, UK; and H. Lundbeck A/S (J.L.M.), Copenhagen, Denmark
| | - Aida Niñerola-Baizán
- From the Barcelonaβeta Brain Research Center (BBRC) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., N.V.-T., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., K.F., J.L.M., M.S.-C.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., M.S.-C.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) (M.M.-A., G.O., E.M.A.-U., O.G.-R., G.S.-B., C.M., K.F., M.S.-C.), Madrid; Universitat Pompeu Fabra (M.M.-A., M.S.), Barcelona, Spain; Department of Psychiatry and Neurochemistry (A.B., N.J.A., H.K., H.Z., K.B.), Institute of Neuroscience and Physiology, University of Gothenburg; Clinical Neurochemistry Laboratory (A.B., H.K., H.Z., K.B.), Sahlgrenska University Hospital, Mölndal; Wallenberg Centre for Molecular and Translational Medicine (A.B., N.J.A., H.K.), Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Sweden; King's College London (N.J.A.), Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute; NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation (N.J.A.), London, UK; Centro de Investigación Biomédica en Red de Bioingeniería (C.F., J.D.G., A.N.-B., A.P.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; Centre for Genomic Regulation (CRG) (N.V.-T.), Barcelona Institute for Science and Technology; Department of Clinical Genetics (N.V.-T.), Erasmus MC, University Medical Center Rotterdam, the Netherlands; Servei de Neurologia (O.G.-R., M.S.-C.), Hospital del Mar; Servei de Medicina Nuclear (A.N.-B., A.P.), Hospital Clínic, Barcelona, Spain; Roche Diagnostics GmbH (G.K.), Penzberg, Germany; Roche Diagnostics International Ltd (I.S.), Rotkreuz, Switzerland; UK Dementia Research Institute at UCL (H.Z.), London; Department of Neurodegenerative Disease (H.Z.), UCL Queen Square Institute of Neurology, London, UK; and H. Lundbeck A/S (J.L.M.), Copenhagen, Denmark
| | - Andrés Perissinotti
- From the Barcelonaβeta Brain Research Center (BBRC) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., N.V.-T., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., K.F., J.L.M., M.S.-C.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., M.S.-C.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) (M.M.-A., G.O., E.M.A.-U., O.G.-R., G.S.-B., C.M., K.F., M.S.-C.), Madrid; Universitat Pompeu Fabra (M.M.-A., M.S.), Barcelona, Spain; Department of Psychiatry and Neurochemistry (A.B., N.J.A., H.K., H.Z., K.B.), Institute of Neuroscience and Physiology, University of Gothenburg; Clinical Neurochemistry Laboratory (A.B., H.K., H.Z., K.B.), Sahlgrenska University Hospital, Mölndal; Wallenberg Centre for Molecular and Translational Medicine (A.B., N.J.A., H.K.), Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Sweden; King's College London (N.J.A.), Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute; NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation (N.J.A.), London, UK; Centro de Investigación Biomédica en Red de Bioingeniería (C.F., J.D.G., A.N.-B., A.P.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; Centre for Genomic Regulation (CRG) (N.V.-T.), Barcelona Institute for Science and Technology; Department of Clinical Genetics (N.V.-T.), Erasmus MC, University Medical Center Rotterdam, the Netherlands; Servei de Neurologia (O.G.-R., M.S.-C.), Hospital del Mar; Servei de Medicina Nuclear (A.N.-B., A.P.), Hospital Clínic, Barcelona, Spain; Roche Diagnostics GmbH (G.K.), Penzberg, Germany; Roche Diagnostics International Ltd (I.S.), Rotkreuz, Switzerland; UK Dementia Research Institute at UCL (H.Z.), London; Department of Neurodegenerative Disease (H.Z.), UCL Queen Square Institute of Neurology, London, UK; and H. Lundbeck A/S (J.L.M.), Copenhagen, Denmark
| | - Gwendlyn Kollmorgen
- From the Barcelonaβeta Brain Research Center (BBRC) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., N.V.-T., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., K.F., J.L.M., M.S.-C.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., M.S.-C.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) (M.M.-A., G.O., E.M.A.-U., O.G.-R., G.S.-B., C.M., K.F., M.S.-C.), Madrid; Universitat Pompeu Fabra (M.M.-A., M.S.), Barcelona, Spain; Department of Psychiatry and Neurochemistry (A.B., N.J.A., H.K., H.Z., K.B.), Institute of Neuroscience and Physiology, University of Gothenburg; Clinical Neurochemistry Laboratory (A.B., H.K., H.Z., K.B.), Sahlgrenska University Hospital, Mölndal; Wallenberg Centre for Molecular and Translational Medicine (A.B., N.J.A., H.K.), Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Sweden; King's College London (N.J.A.), Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute; NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation (N.J.A.), London, UK; Centro de Investigación Biomédica en Red de Bioingeniería (C.F., J.D.G., A.N.-B., A.P.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; Centre for Genomic Regulation (CRG) (N.V.-T.), Barcelona Institute for Science and Technology; Department of Clinical Genetics (N.V.-T.), Erasmus MC, University Medical Center Rotterdam, the Netherlands; Servei de Neurologia (O.G.-R., M.S.-C.), Hospital del Mar; Servei de Medicina Nuclear (A.N.-B., A.P.), Hospital Clínic, Barcelona, Spain; Roche Diagnostics GmbH (G.K.), Penzberg, Germany; Roche Diagnostics International Ltd (I.S.), Rotkreuz, Switzerland; UK Dementia Research Institute at UCL (H.Z.), London; Department of Neurodegenerative Disease (H.Z.), UCL Queen Square Institute of Neurology, London, UK; and H. Lundbeck A/S (J.L.M.), Copenhagen, Denmark
| | - Ivonne Suridjan
- From the Barcelonaβeta Brain Research Center (BBRC) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., N.V.-T., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., K.F., J.L.M., M.S.-C.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., M.S.-C.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) (M.M.-A., G.O., E.M.A.-U., O.G.-R., G.S.-B., C.M., K.F., M.S.-C.), Madrid; Universitat Pompeu Fabra (M.M.-A., M.S.), Barcelona, Spain; Department of Psychiatry and Neurochemistry (A.B., N.J.A., H.K., H.Z., K.B.), Institute of Neuroscience and Physiology, University of Gothenburg; Clinical Neurochemistry Laboratory (A.B., H.K., H.Z., K.B.), Sahlgrenska University Hospital, Mölndal; Wallenberg Centre for Molecular and Translational Medicine (A.B., N.J.A., H.K.), Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Sweden; King's College London (N.J.A.), Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute; NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation (N.J.A.), London, UK; Centro de Investigación Biomédica en Red de Bioingeniería (C.F., J.D.G., A.N.-B., A.P.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; Centre for Genomic Regulation (CRG) (N.V.-T.), Barcelona Institute for Science and Technology; Department of Clinical Genetics (N.V.-T.), Erasmus MC, University Medical Center Rotterdam, the Netherlands; Servei de Neurologia (O.G.-R., M.S.-C.), Hospital del Mar; Servei de Medicina Nuclear (A.N.-B., A.P.), Hospital Clínic, Barcelona, Spain; Roche Diagnostics GmbH (G.K.), Penzberg, Germany; Roche Diagnostics International Ltd (I.S.), Rotkreuz, Switzerland; UK Dementia Research Institute at UCL (H.Z.), London; Department of Neurodegenerative Disease (H.Z.), UCL Queen Square Institute of Neurology, London, UK; and H. Lundbeck A/S (J.L.M.), Copenhagen, Denmark
| | - Henrik Zetterberg
- From the Barcelonaβeta Brain Research Center (BBRC) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., N.V.-T., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., K.F., J.L.M., M.S.-C.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., M.S.-C.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) (M.M.-A., G.O., E.M.A.-U., O.G.-R., G.S.-B., C.M., K.F., M.S.-C.), Madrid; Universitat Pompeu Fabra (M.M.-A., M.S.), Barcelona, Spain; Department of Psychiatry and Neurochemistry (A.B., N.J.A., H.K., H.Z., K.B.), Institute of Neuroscience and Physiology, University of Gothenburg; Clinical Neurochemistry Laboratory (A.B., H.K., H.Z., K.B.), Sahlgrenska University Hospital, Mölndal; Wallenberg Centre for Molecular and Translational Medicine (A.B., N.J.A., H.K.), Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Sweden; King's College London (N.J.A.), Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute; NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation (N.J.A.), London, UK; Centro de Investigación Biomédica en Red de Bioingeniería (C.F., J.D.G., A.N.-B., A.P.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; Centre for Genomic Regulation (CRG) (N.V.-T.), Barcelona Institute for Science and Technology; Department of Clinical Genetics (N.V.-T.), Erasmus MC, University Medical Center Rotterdam, the Netherlands; Servei de Neurologia (O.G.-R., M.S.-C.), Hospital del Mar; Servei de Medicina Nuclear (A.N.-B., A.P.), Hospital Clínic, Barcelona, Spain; Roche Diagnostics GmbH (G.K.), Penzberg, Germany; Roche Diagnostics International Ltd (I.S.), Rotkreuz, Switzerland; UK Dementia Research Institute at UCL (H.Z.), London; Department of Neurodegenerative Disease (H.Z.), UCL Queen Square Institute of Neurology, London, UK; and H. Lundbeck A/S (J.L.M.), Copenhagen, Denmark
| | - José Luis Molinuevo
- From the Barcelonaβeta Brain Research Center (BBRC) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., N.V.-T., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., K.F., J.L.M., M.S.-C.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., M.S.-C.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) (M.M.-A., G.O., E.M.A.-U., O.G.-R., G.S.-B., C.M., K.F., M.S.-C.), Madrid; Universitat Pompeu Fabra (M.M.-A., M.S.), Barcelona, Spain; Department of Psychiatry and Neurochemistry (A.B., N.J.A., H.K., H.Z., K.B.), Institute of Neuroscience and Physiology, University of Gothenburg; Clinical Neurochemistry Laboratory (A.B., H.K., H.Z., K.B.), Sahlgrenska University Hospital, Mölndal; Wallenberg Centre for Molecular and Translational Medicine (A.B., N.J.A., H.K.), Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Sweden; King's College London (N.J.A.), Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute; NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation (N.J.A.), London, UK; Centro de Investigación Biomédica en Red de Bioingeniería (C.F., J.D.G., A.N.-B., A.P.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; Centre for Genomic Regulation (CRG) (N.V.-T.), Barcelona Institute for Science and Technology; Department of Clinical Genetics (N.V.-T.), Erasmus MC, University Medical Center Rotterdam, the Netherlands; Servei de Neurologia (O.G.-R., M.S.-C.), Hospital del Mar; Servei de Medicina Nuclear (A.N.-B., A.P.), Hospital Clínic, Barcelona, Spain; Roche Diagnostics GmbH (G.K.), Penzberg, Germany; Roche Diagnostics International Ltd (I.S.), Rotkreuz, Switzerland; UK Dementia Research Institute at UCL (H.Z.), London; Department of Neurodegenerative Disease (H.Z.), UCL Queen Square Institute of Neurology, London, UK; and H. Lundbeck A/S (J.L.M.), Copenhagen, Denmark
| | - Kaj Blennow
- From the Barcelonaβeta Brain Research Center (BBRC) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., N.V.-T., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., K.F., J.L.M., M.S.-C.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., M.S.-C.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) (M.M.-A., G.O., E.M.A.-U., O.G.-R., G.S.-B., C.M., K.F., M.S.-C.), Madrid; Universitat Pompeu Fabra (M.M.-A., M.S.), Barcelona, Spain; Department of Psychiatry and Neurochemistry (A.B., N.J.A., H.K., H.Z., K.B.), Institute of Neuroscience and Physiology, University of Gothenburg; Clinical Neurochemistry Laboratory (A.B., H.K., H.Z., K.B.), Sahlgrenska University Hospital, Mölndal; Wallenberg Centre for Molecular and Translational Medicine (A.B., N.J.A., H.K.), Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Sweden; King's College London (N.J.A.), Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute; NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation (N.J.A.), London, UK; Centro de Investigación Biomédica en Red de Bioingeniería (C.F., J.D.G., A.N.-B., A.P.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; Centre for Genomic Regulation (CRG) (N.V.-T.), Barcelona Institute for Science and Technology; Department of Clinical Genetics (N.V.-T.), Erasmus MC, University Medical Center Rotterdam, the Netherlands; Servei de Neurologia (O.G.-R., M.S.-C.), Hospital del Mar; Servei de Medicina Nuclear (A.N.-B., A.P.), Hospital Clínic, Barcelona, Spain; Roche Diagnostics GmbH (G.K.), Penzberg, Germany; Roche Diagnostics International Ltd (I.S.), Rotkreuz, Switzerland; UK Dementia Research Institute at UCL (H.Z.), London; Department of Neurodegenerative Disease (H.Z.), UCL Queen Square Institute of Neurology, London, UK; and H. Lundbeck A/S (J.L.M.), Copenhagen, Denmark
| | - Marc Suárez-Calvet
- From the Barcelonaβeta Brain Research Center (BBRC) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., N.V.-T., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., K.F., J.L.M., M.S.-C.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.M.-A., M.S., G.O., G.S., C.F., J.D.G., E.M.A.-U., O.G.-R., A.S.-V., G.S.-B., J.M.G.-d-E., C.M., M.S.-C.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) (M.M.-A., G.O., E.M.A.-U., O.G.-R., G.S.-B., C.M., K.F., M.S.-C.), Madrid; Universitat Pompeu Fabra (M.M.-A., M.S.), Barcelona, Spain; Department of Psychiatry and Neurochemistry (A.B., N.J.A., H.K., H.Z., K.B.), Institute of Neuroscience and Physiology, University of Gothenburg; Clinical Neurochemistry Laboratory (A.B., H.K., H.Z., K.B.), Sahlgrenska University Hospital, Mölndal; Wallenberg Centre for Molecular and Translational Medicine (A.B., N.J.A., H.K.), Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Sweden; King's College London (N.J.A.), Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute; NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation (N.J.A.), London, UK; Centro de Investigación Biomédica en Red de Bioingeniería (C.F., J.D.G., A.N.-B., A.P.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; Centre for Genomic Regulation (CRG) (N.V.-T.), Barcelona Institute for Science and Technology; Department of Clinical Genetics (N.V.-T.), Erasmus MC, University Medical Center Rotterdam, the Netherlands; Servei de Neurologia (O.G.-R., M.S.-C.), Hospital del Mar; Servei de Medicina Nuclear (A.N.-B., A.P.), Hospital Clínic, Barcelona, Spain; Roche Diagnostics GmbH (G.K.), Penzberg, Germany; Roche Diagnostics International Ltd (I.S.), Rotkreuz, Switzerland; UK Dementia Research Institute at UCL (H.Z.), London; Department of Neurodegenerative Disease (H.Z.), UCL Queen Square Institute of Neurology, London, UK; and H. Lundbeck A/S (J.L.M.), Copenhagen, Denmark.
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Zhao Y, Arceneaux L, Culicchia F, Lukiw WJ. Neurofilament Light (NF-L) Chain Protein from a Highly Polymerized Structural Component of the Neuronal Cytoskeleton to a Neurodegenerative Disease Biomarker in the Periphery. HSOA JOURNAL OF ALZHEIMER'S & NEURODEGENERATIVE DISEASES 2021; 7:056. [PMID: 34881359 PMCID: PMC8651065 DOI: 10.24966/and-9608/100056] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Neurofilaments (NFs) are critical scaffolding components of the axoskeleton of healthy neurons interacting directly with multiple synaptic-phosphoproteins to support and coordinate neuronal cell shape, cytoarchitecture, synaptogenesis and neurotransmission. While neuronal presynaptic proteins such as synapsin-2 (SYN II) degrade rapidly via the ubiquitin-proteasome pathway, a considerably more stable neurofilament light (NF-L) chain protein turns over much more slowly, and in several neurological diseases is accompanied by a pathological shift from an intracellular neuronal cytoplasmic location into various biofluid compartments. NF-L has been found to be significantly elevated in peripheral biofluids in multiple neurodegenerative disorders, however it is not as widely appreciated that NF-L expression within neurons undergoing inflammatory neurodegeneration exhibit a significant down-regulation in these neuron-specific intermediate-filament components. Down-regulated NF-L in neurons correlates well with the observed axonal and neuronal atrophy, neurite deterioration and synaptic disorganization in tissues affected by Alzheimer's disease (AD) and other progressive, age-related neurological diseases. This Review paper: (i) will briefly assess the remarkably high number of neurological disorders that exhibit NF-L depolymerization, liberation from neuron-specific compartments, mobilization and enrichment into pathological biofluids; (ii) will evaluate how NF-L exhibits compartmentalization effects in age-related neurological disorders; (iii) will review how the shift of NF-L compartmentalization from within the neuronal cytoskeleton into peripheral biofluids may be a diagnostic biomarker for neuronal-decline in all cause dementia most useful in distinguishing between closely related neurological disorders; and (iv) will review emerging evidence that deficits in plasma membrane barrier integrity, pathological transport and/or vesicle-mediated trafficking dysfunction of NF-L may contribute to neuronal decline, with specific reference to AD wherever possible.
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Affiliation(s)
- Yuhai Zhao
- LSU Neuroscience Center, Louisiana State University Health Science Center, New Orleans LA 70112, USA
- Department of Cell Biology and Anatomy, LSU Health Science Center, New Orleans LA 70112, USA
| | - Lisa Arceneaux
- LSU Neuroscience Center, Louisiana State University Health Science Center, New Orleans LA 70112, USA
| | - Frank Culicchia
- LSU Neuroscience Center, Louisiana State University Health Science Center, New Orleans LA 70112, USA
- Department of Neurosurgery, Louisiana State University Health Science Center, New Orleans LA 70112, USA
| | - Walter J Lukiw
- LSU Neuroscience Center, Louisiana State University Health Science Center, New Orleans LA 70112, USA
- Department of Ophthalmology, Louisiana State University Health Science Center, New Orleans LA 7011, USA
- Department of Neurology, Louisiana State University Health Science Center, New Orleans LA 70112, USA
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Dulewicz M, Kulczyńska-Przybik A, Słowik A, Borawska R, Mroczko B. Neurogranin and Neuronal Pentraxin Receptor as Synaptic Dysfunction Biomarkers in Alzheimer's Disease. J Clin Med 2021; 10:jcm10194575. [PMID: 34640593 PMCID: PMC8509697 DOI: 10.3390/jcm10194575] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 09/27/2021] [Accepted: 09/29/2021] [Indexed: 12/24/2022] Open
Abstract
Synaptic loss and dysfunction are one of the earliest signs of neurodegeneration associated with cognitive decline in Alzheimer’s disease (AD). It seems that by assessing proteins related to synapses, one may reflect their dysfunction and improve the understanding of neurobiological processes in the early stage of the disease. To our best knowledge, this is the first study that analyzes the CSF concentrations of two synaptic proteins together, such as neurogranin (Ng) and neuronal pentraxins receptor (NPTXR) in relation to neurochemical dementia biomarkers in Alzheimer’s disease. Methods: Ng, NPTXR and classical AD biomarkers concentrations were measured in the CSF of patients with AD and non-demented controls (CTRL) using an enzyme-linked immunosorbent assay (ELISA) and Luminex xMAP technology. Results: The CSF level of Ng was significantly higher, whereas the NPTXR was significantly lower in the AD patients than in cognitively healthy controls. As a first, we calculated the NPTXR/Ng ratio as an indicator of synaptic disturbance. The patients with AD presented a significantly decreased NPTXR/Ng ratio. The correlation was observed between both proteins in the AD and the whole study group. Furthermore, the relationship between the Ng level and pTau181 was found in the AD group of patients. Conclusions: The Ng and NPTXR concentrations in CSF are promising synaptic dysfunction biomarkers reflecting pathological changes in AD.
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Affiliation(s)
- Maciej Dulewicz
- Department of Neurodegeneration Diagnostics, Medical University of Bialystok, 15-269 Bialystok, Poland; (A.K.-P.); (R.B.); (B.M.)
- Correspondence:
| | - Agnieszka Kulczyńska-Przybik
- Department of Neurodegeneration Diagnostics, Medical University of Bialystok, 15-269 Bialystok, Poland; (A.K.-P.); (R.B.); (B.M.)
| | - Agnieszka Słowik
- Department of Neurology, Jagiellonian University, 30-688 Krakow, Poland;
| | - Renata Borawska
- Department of Neurodegeneration Diagnostics, Medical University of Bialystok, 15-269 Bialystok, Poland; (A.K.-P.); (R.B.); (B.M.)
| | - Barbara Mroczko
- Department of Neurodegeneration Diagnostics, Medical University of Bialystok, 15-269 Bialystok, Poland; (A.K.-P.); (R.B.); (B.M.)
- Department of Biochemical Diagnostics, Medical University of Bialystok, 15-269 Bialystok, Poland
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Yuan A, Nixon RA. Neurofilament Proteins as Biomarkers to Monitor Neurological Diseases and the Efficacy of Therapies. Front Neurosci 2021; 15:689938. [PMID: 34646114 PMCID: PMC8503617 DOI: 10.3389/fnins.2021.689938] [Citation(s) in RCA: 110] [Impact Index Per Article: 36.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 09/02/2021] [Indexed: 01/01/2023] Open
Abstract
Biomarkers of neurodegeneration and neuronal injury have the potential to improve diagnostic accuracy, disease monitoring, prognosis, and measure treatment efficacy. Neurofilament proteins (NfPs) are well suited as biomarkers in these contexts because they are major neuron-specific components that maintain structural integrity and are sensitive to neurodegeneration and neuronal injury across a wide range of neurologic diseases. Low levels of NfPs are constantly released from neurons into the extracellular space and ultimately reach the cerebrospinal fluid (CSF) and blood under physiological conditions throughout normal brain development, maturation, and aging. NfP levels in CSF and blood rise above normal in response to neuronal injury and neurodegeneration independently of cause. NfPs in CSF measured by lumbar puncture are about 40-fold more concentrated than in blood in healthy individuals. New ultra-sensitive methods now allow minimally invasive measurement of these low levels of NfPs in serum or plasma to track disease onset and progression in neurological disorders or nervous system injury and assess responses to therapeutic interventions. Any of the five Nf subunits - neurofilament light chain (NfL), neurofilament medium chain (NfM), neurofilament heavy chain (NfH), alpha-internexin (INA) and peripherin (PRPH) may be altered in a given neuropathological condition. In familial and sporadic Alzheimer's disease (AD), plasma NfL levels may rise as early as 22 years before clinical onset in familial AD and 10 years before sporadic AD. The major determinants of elevated levels of NfPs and degradation fragments in CSF and blood are the magnitude of damaged or degenerating axons of fiber tracks, the affected axon caliber sizes and the rate of release of NfP and fragments at different stages of a given neurological disease or condition directly or indirectly affecting central nervous system (CNS) and/or peripheral nervous system (PNS). NfPs are rapidly emerging as transformative blood biomarkers in neurology providing novel insights into a wide range of neurological diseases and advancing clinical trials. Here we summarize the current understanding of intracellular NfP physiology, pathophysiology and extracellular kinetics of NfPs in biofluids and review the value and limitations of NfPs and degradation fragments as biomarkers of neurodegeneration and neuronal injury.
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Affiliation(s)
- Aidong Yuan
- Center for Dementia Research, Nathan Kline Institute, Orangeburg, NY, United States
- Department of Psychiatry, NYU Neuroscience Institute, New York, NY, United States
| | - Ralph A. Nixon
- Center for Dementia Research, Nathan Kline Institute, Orangeburg, NY, United States
- Department of Psychiatry, NYU Neuroscience Institute, New York, NY, United States
- Department of Cell Biology, New York University Grossman School of Medicine, (NYU), Neuroscience Institute, New York, NY, United States
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Ekblad LL, Visser PJ, Tijms BM. Proteomic correlates of cortical thickness in cognitively normal individuals with normal and abnormal cerebrospinal fluid beta-amyloid 1-42. Neurobiol Aging 2021; 107:42-52. [PMID: 34375908 DOI: 10.1016/j.neurobiolaging.2021.07.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 06/16/2021] [Accepted: 07/06/2021] [Indexed: 12/13/2022]
Abstract
Cortical atrophy is an early feature of Alzheimer´s disease (AD). The biological processes associated with variability in cortical thickness remain largely unknown. We studied 220 cerebrospinal fluid (CSF) proteins to evaluate biological pathways associated with cortical thickness in 34 brain regions in 79 cognitively normal older individuals with normal (>192 ng/L, n = 47), and abnormal (≤192 ng/L, n = 32) CSF beta-amyloid1-42 (Aβ42). Interactions for Aβ42 status were tested. Panther GeneOntology and Cytoscape ClueGO analyses were used to evaluate biological processes associated with regional cortical thickness. 170 (77.3 %) proteins related with cortical thickness in at least 1 brain region across the total group, and 171 (77.7 %) proteins showed Aβ42 specific associations. Higher levels of proteins related to axonal and synaptic integrity, amyloid accumulation, and inflammation were associated with thinner cortex in lateral temporal regions, the rostral anterior cingulum, the lateral occipital cortex and the pars opercularis only in the abnormal Aβ42 group. Alterations in CSF proteomics are associated with a regional cortical atrophy in the earliest stages of AD.
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Affiliation(s)
- Laura L Ekblad
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam, the Netherlands; Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland.
| | - Pieter Jelle Visser
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam, the Netherlands; Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands; Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, Stockholm, Sweden
| | - Betty M Tijms
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam, the Netherlands
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Barro C, Zetterberg H. The blood biomarkers puzzle - A review of protein biomarkers in neurodegenerative diseases. J Neurosci Methods 2021; 361:109281. [PMID: 34237384 DOI: 10.1016/j.jneumeth.2021.109281] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 06/07/2021] [Accepted: 07/04/2021] [Indexed: 02/04/2023]
Abstract
Neurodegenerative diseases are heterogeneous in their cause and clinical presentation making clinical assessment and disease monitoring challenging. Because of this, there is an urgent need for objective tools such as fluid biomarkers able to quantitate different aspects of the disease. In the last decade, technological improvements and awareness of the importance of biorepositories led to the discovery of an evolving number of fluid biomarkers covering the main characteristics of neurodegenerative diseases such as neurodegeneration, protein aggregates and inflammation. The ability to quantitate each aspect of the disease at a high definition enables a more precise stratification of the patients at inclusion in clinical trials, hence reducing the noise that may hamper the detection of therapeutical efficacy and allowing for smaller but likewise powered studies, which particularly improves the ability to start clinical trials for rare neurological diseases. Moreover, the use of fluid biomarkers has the potential to support a targeted therapeutical intervention, as it is now emerging for the treatment of amyloid-beta deposition in patients suffering from Alzheimer's disease. Here we review the knowledge that evolved from the measurement of fluid biomarker proteins in neurodegenerative conditions.
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Affiliation(s)
- Christian Barro
- Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Boston, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA.
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK; UK Dementia Research Institute at UCL, London, UK; Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
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36
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Ashton NJ, Leuzy A, Karikari TK, Mattsson-Carlgren N, Dodich A, Boccardi M, Corre J, Drzezga A, Nordberg A, Ossenkoppele R, Zetterberg H, Blennow K, Frisoni GB, Garibotto V, Hansson O. The validation status of blood biomarkers of amyloid and phospho-tau assessed with the 5-phase development framework for AD biomarkers. Eur J Nucl Med Mol Imaging 2021; 48:2140-2156. [PMID: 33677733 PMCID: PMC8175325 DOI: 10.1007/s00259-021-05253-y] [Citation(s) in RCA: 75] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Accepted: 02/09/2021] [Indexed: 12/14/2022]
Abstract
PURPOSE The development of blood biomarkers that reflect Alzheimer's disease (AD) pathophysiology (phosphorylated tau and amyloid-β) has offered potential as scalable tests for dementia differential diagnosis and early detection. In 2019, the Geneva AD Biomarker Roadmap Initiative included blood biomarkers in the systematic validation of AD biomarkers. METHODS A panel of experts convened in November 2019 at a two-day workshop in Geneva. The level of maturity (fully achieved, partly achieved, preliminary evidence, not achieved, unsuccessful) of blood biomarkers was assessed based on the Biomarker Roadmap methodology and discussed fully during the workshop which also evaluated cerebrospinal fluid (CSF) and positron emission tomography (PET) biomarkers. RESULTS Plasma p-tau has shown analytical validity (phase 2 primary aim 1) and first evidence of clinical validity (phase 3 primary aim 1), whereas the maturity level for Aβ remains to be partially achieved. Full and partial achievement has been assigned to p-tau and Aβ, respectively, in their associations to ante-mortem measures (phase 2 secondary aim 2). However, only preliminary evidence exists for the influence of covariates, assay comparison and cut-off criteria. CONCLUSIONS Despite the relative infancy of blood biomarkers, in comparison to CSF biomarkers, much has already been achieved for phases 1 through 3 - with p-tau having greater success in detecting AD and predicting disease progression. However, sufficient data about the effect of covariates on the biomarker measurement is lacking. No phase 4 (real-world performance) or phase 5 (assessment of impact/cost) aim has been tested, thus not achieved.
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Affiliation(s)
- N J Ashton
- Institute of Neuroscience & Physiology, Department of Psychiatry & Neurochemistry, Sahlgrenska Academy, University of Gothenburg, House V3/SU, SE-431 80, Mölndal, Sweden.
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.
| | - A Leuzy
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
| | - T K Karikari
- Institute of Neuroscience & Physiology, Department of Psychiatry & Neurochemistry, Sahlgrenska Academy, University of Gothenburg, House V3/SU, SE-431 80, Mölndal, Sweden
| | - N Mattsson-Carlgren
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
- Department of Neurology, Skåne University Hospital, Lund, Sweden
- Wallenberg Centre for Molecular Medicine, Lund University, Lund, Sweden
| | - A Dodich
- NIMTlab - Neuroimaging and Innovative Molecular Tracers Laboratory, University of Geneva, Geneva, Switzerland
- Center for Neurocognitive Rehabilitation (CeRiN), CIMeC, University of Trento, Trento, Italy
| | - M Boccardi
- German Center for Neurodegenerative Diseases (DZNE), Rostock-Greifswald, Rostock, Germany
- LANVIE - Laboratory of Neuroimaging of Aging, University of Geneva, Geneva, Switzerland
| | - J Corre
- Centre National de la Recherche Scientifique, Montpellier, France
| | - A Drzezga
- Medical Faculty and University Hospital of Cologne, Cologne, Germany
| | - A Nordberg
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Theme Aging, Karolinska University Hospital Stockholm, Stockholm, Sweden
| | - R Ossenkoppele
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - H Zetterberg
- Institute of Neuroscience & Physiology, Department of Psychiatry & Neurochemistry, Sahlgrenska Academy, University of Gothenburg, House V3/SU, SE-431 80, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, London, UK
| | - K Blennow
- Institute of Neuroscience & Physiology, Department of Psychiatry & Neurochemistry, Sahlgrenska Academy, University of Gothenburg, House V3/SU, SE-431 80, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - G B Frisoni
- German Center for Neurodegenerative Diseases (DZNE), Rostock-Greifswald, Rostock, Germany
- Memory Clinic, Geneva University Hospitals, Geneva, Switzerland
| | - V Garibotto
- NIMTlab - Neuroimaging and Innovative Molecular Tracers Laboratory, University of Geneva, Geneva, Switzerland
- Diagnostic Department, University Hospitals of Geneva, Geneva, Switzerland
| | - O Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden.
- UK Dementia Research Institute at UCL, London, UK.
- Memory Clinic, Skåne University Hospital, SE-205 02, Malmö, Sweden.
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Gallo A, Pillet LE, Verpillot R. New frontiers in Alzheimer's disease diagnostic: Monoamines and their derivatives in biological fluids. Exp Gerontol 2021; 152:111452. [PMID: 34182050 DOI: 10.1016/j.exger.2021.111452] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 04/29/2021] [Accepted: 06/08/2021] [Indexed: 10/21/2022]
Abstract
Current diagnosis of Alzheimer's disease (AD) relies on a combination of neuropsychological evaluations, biomarker measurements and brain imaging. Nevertheless, these approaches are either expensive, invasive or lack sensitivity to early AD stages. The main challenge of ongoing research is therefore to identify early non-invasive biomarkers to diagnose AD at preclinical stage. Accumulating evidence support the hypothesis that initial degeneration of profound monoaminergic nuclei may trigger a transneuronal spread of AD pathology towards hippocampus and cortex. These studies aroused great interest on monoamines, i.e. noradrenaline (NA), dopamine (D) ad serotonin (5-HT), as early hallmarks of AD pathology. The present work reviews current literature on the potential role of monoamines and related metabolites as biomarkers of AD. First, morphological changes in the monoaminergic systems during AD are briefly described. Second, we focus on concentration changes of these molecules and their derivatives in biological fluids, including cerebrospinal fluid, obtained by lumbar puncture, and blood or urine, sampled via less invasive procedures. Starting from initial observations, we then discuss recent insights on metabolomics-based analysis, highlighting the promising clinical utility of monoamines for the identification of a molecular AD signature, aimed at improving early diagnosis and discrimination from other dementia.
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38
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Pereira JB, Janelidze S, Stomrud E, Palmqvist S, van Westen D, Dage JL, Mattsson-Carlgren N, Hansson O. Plasma markers predict changes in amyloid, tau, atrophy and cognition in non-demented subjects. Brain 2021; 144:2826-2836. [PMID: 34077494 PMCID: PMC8557344 DOI: 10.1093/brain/awab163] [Citation(s) in RCA: 61] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 03/26/2021] [Accepted: 04/02/2021] [Indexed: 11/13/2022] Open
Abstract
It is currently unclear whether plasma biomarkers can be used as independent prognostic tools to predict changes associated with early Alzheimer's disease (AD). In this study we sought to address this question by assessing whether plasma biomarkers can predict changes in amyloid load, tau accumulation, brain atrophy and cognition in non-demented individuals. To achieve this, plasma amyloid-β 42/40 (Aβ42/40), phosphorylated-tau181 (P-tau181), phosphorylated-tau217 (P-tau217) and neurofilament light (NfL) were determined in 159 non-demented individuals, 123 patients with AD dementia and 35 patients with a non-AD dementia from the Swedish BioFINDER-2 study, who underwent longitudinal amyloid (18 F-flutemetamol) and tau (18 F-RO948) positron emission tomography (PET), structural magnetic resonance imaging (T1-weighted) and cognitive testing. Our univariate linear mixed effect models showed there were several significant associations between the plasma biomarkers with imaging and cognitive measures. However, when all biomarkers were included in the same multivariate linear mixed effect models, we found that increased longitudinal amyloid-PET signals were independently predicted by low baseline plasma Aβ42/40 (p = 0.012), whereas increased tau-PET signals, brain atrophy and worse cognition were independently predicted by high plasma P-tau217 (p < 0.004). These biomarkers performed equally well or better than the corresponding biomarkers measured in the cerebrospinal fluid. In addition, they showed a similar performance to binary plasma biomarker values defined using the Youden index, which can be more easily implemented in the clinic. In addition, plasma Aβ42/40 and P-tau217 did not predict longitudinal changes in patients with a non-AD neurodegenerative disorder. In conclusion, our findings indicate that plasma Aβ42/40 and P-tau217 could be useful in clinical practice, research and drug development as prognostic markers of future AD pathology.
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Affiliation(s)
- Joana B Pereira
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, SE-20502 Malmö, Sweden.,Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institute, 141 83 Huddinge, Sweden
| | - Shorena Janelidze
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, SE-20502 Malmö, Sweden
| | - Erik Stomrud
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, SE-20502 Malmö, Sweden.,Memory Clinic, Skåne University Hospital, 214 28 Malmö, Sweden
| | - Sebastian Palmqvist
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, SE-20502 Malmö, Sweden.,Memory Clinic, Skåne University Hospital, 214 28 Malmö, Sweden
| | - Danielle van Westen
- Diagnostic Radiology, Department of Clinical Sciences Lund, Lund University, 221 85 Lund, Sweden.,Image and Function, Skåne University Hospital, Malmö 205 02, Sweden
| | | | - Niklas Mattsson-Carlgren
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, SE-20502 Malmö, Sweden.,Department of Neurology, Skåne University Hospital, Lund University, 221 84 Lund, Sweden.,Wallenberg Center for Molecular Medicine, Lund University, 221 84 Lund, Sweden
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, SE-20502 Malmö, Sweden.,Memory Clinic, Skåne University Hospital, 214 28 Malmö, Sweden
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39
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Parkin GM, Corey-Bloom J, Snell C, Castleton J, Thomas EA. Plasma neurofilament light in Huntington's disease: A marker for disease onset, but not symptom progression. Parkinsonism Relat Disord 2021; 87:32-38. [PMID: 33940564 PMCID: PMC9083556 DOI: 10.1016/j.parkreldis.2021.04.017] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 04/13/2021] [Accepted: 04/14/2021] [Indexed: 11/21/2022]
Abstract
OBJECTIVE To investigate whether plasma NfL levels correlate with clinical symptom severity in premanifest (PM) and manifest HD (HD) individuals, and whether a NfL cut-point could distinguish PM from HD patients with reasonable accuracy. METHOD 98 participants (33 control, 26 PM, 39 HD), underwent blood sample collection and clinical assessment, using both UHDRS and non-UHDRS measures, at one academic HD Center. Years to onset (YTO), probability of disease onset in 5 years, and predicted years until 60% onset probability were also calculated. NfL levels were measured using a Meso Scale Discovery assay. RESULTS Cohorts differed by age. NfL levels differed significantly across diagnostic groups and were significantly correlated with age. Age-adjusted NfL levels were not correlated with clinical measures in either HD or PM cohorts, but were correlated when cohorts were combined. In PM subjects, NfL levels correlated with YTO, probability of onset in 5 years, and years until 60% onset probability. Using ROC analysis, a NfL cut-point of <53.15 pg/ml distinguished HD from control; <74.84 pg/ml distinguished HD from PM. CONCLUSIONS These findings implicate plasma NfL as a peripheral prognostic marker for premanifest-HD. Notably, we show that significant correlations between NfL and clinical symptoms are detected only when PM + HD subjects are combined, but not within HD subjects alone. To date, prior studies have investigated the clinical usefulness of NfL exclusively in merged PM + HD cohorts. Our data suggests a biasing of these previous correlations, and hence potentially limited usefulness of plasma NfL in monitoring HD symptom progression, for example, in clinical trials.
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Affiliation(s)
- Georgia M Parkin
- Department of Epidemiology, University of California Irvine, Irvine, CA, USA; Institute for Interdisciplinary Salivary Bioscience Research, University of California Irvine, Irvine, CA, USA.
| | - Jody Corey-Bloom
- Department of Neurosciences, University of California San Diego, San Diego, CA, USA.
| | - Chase Snell
- Department of Neurosciences, University of California San Diego, San Diego, CA, USA.
| | - Jordan Castleton
- Department of Neurosciences, University of California San Diego, San Diego, CA, USA.
| | - Elizabeth A Thomas
- Department of Epidemiology, University of California Irvine, Irvine, CA, USA; Institute for Interdisciplinary Salivary Bioscience Research, University of California Irvine, Irvine, CA, USA.
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40
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Sun Y, Tan L, Xu W, Wang ZT, Hu H, Li JQ, Dong Q, Tan L, Yu JT. Plasma Neurofilament Light and Longitudinal Progression of White Matter Hyperintensity in Elderly Persons Without Dementia. J Alzheimers Dis 2021; 75:729-737. [PMID: 32310173 DOI: 10.3233/jad-200022] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
White matter hyperintensities (WMH) is mainly caused by cerebrovascular injury and may also increase the possibilities of progression to Alzheimer's disease. The present study aims to determine whether plasma neurofilament light (NFL) protein levels could predict the progression of WMH volume in elderly persons without dementia. The present study enrolled 1029 non-dementia participants from the Alzheimer's Disease Neuroimaging Initiative in which all had measurements of plasma NFL and WMH at baseline and 589 had longitudinal measurements during follow-up. Spearman correlation analyses and regression models were used to assess cross-sectional and longitudinal associations between plasma NFL and WMH. Plasma NFL concentration had a moderately strong correlation with WMH at baseline (r = 0.17, p < 0.001). Longitudinal analyses showed that higher baseline plasma NFL concentration was associated with accelerated progression of WMH (β=0.015, p = 0.007). Furthermore, higher change rates of plasma NFL could predict faster progression of WMH in the future (β=0.581, p = 0.002). The results of the study suggest that plasma NFL level might be used as a noninvasive biomarker to track variation trend in WMH in elderly persons without dementia.
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Affiliation(s)
- Yan Sun
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Lin Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Wei Xu
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Zuo-Teng Wang
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Hao Hu
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Jie-Qiong Li
- Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Qiang Dong
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Jin-Tai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
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Mielke MM, Przybelski SA, Lesnick TG, Kern S, Zetterberg H, Blennow K, Knopman DS, Graff-Radford J, Petersen RC, Jack CR, Vemuri P. Comparison of CSF neurofilament light chain, neurogranin, and tau to MRI markers. Alzheimers Dement 2021; 17:801-812. [PMID: 33663022 PMCID: PMC8119371 DOI: 10.1002/alz.12239] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 10/01/2020] [Accepted: 10/22/2020] [Indexed: 12/21/2022]
Abstract
INTRODUCTION We determined whether cerebrospinal fluid (CSF) neurofilament light (NfL), neurogranin (Ng), and total-tau (t-tau) differentially mapped to magnetic resonance imaging (MRI) measures of cortical thickness, microstructural integrity (corpus callosum and cingulum fractional anisotropy [FA]), and white matter hyperintensities (WMH). METHODS Analyses included 536 non-demented Mayo Clinic Study of Aging participants with CSF NfL, Ng, t-tau, amyloid beta (Aβ)42 and longitudinal MRI scans. Linear mixed models assessed longitudinal associations between CSF markers and MRI changes. RESULTS Higher CSF NfL was associated with decreasing microstructural integrity and WMH. Higher t-tau was associated with decreasing temporal lobe and Alzheimer's disease (AD) meta region of interest (ROI) cortical thickness. There was no association between Ng and any MRI measure. CSF Aβ42 interacted with Ng for declines in temporal lobe and AD meta ROI cortical thickness and cingulum FA. DISCUSSION CSF NfL predicts changes in white matter integrity, t-tau reflects non-specific changes in cortical thickness, and Ng reflects AD-specific synaptic and neuronal degeneration.
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Affiliation(s)
- Michelle M. Mielke
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | | | | | - Silke Kern
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, London, UK
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | | | | | - Ronald C. Petersen
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
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Sánchez-Benavides G, Suárez-Calvet M, Milà-Alomà M, Arenaza-Urquijo EM, Grau-Rivera O, Operto G, Gispert JD, Vilor-Tejedor N, Sala-Vila A, Crous-Bou M, González-de-Echávarri JM, Minguillon C, Fauria K, Simon M, Kollmorgen G, Zetterberg H, Blennow K, Molinuevo JL. Amyloid-β positive individuals with subjective cognitive decline present increased CSF neurofilament light levels that relate to lower hippocampal volume. Neurobiol Aging 2021; 104:24-31. [PMID: 33962331 DOI: 10.1016/j.neurobiolaging.2021.02.026] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 02/19/2021] [Accepted: 02/26/2021] [Indexed: 12/16/2022]
Abstract
Neurofilament light chain (NfL) is an axonal protein that when measured in cerebrospinal fluid (CSF) serves as a biomarker of neurodegeneration. We aimed at investigating the association among CSF NfL, presence of Subjective Cognitive Decline (SCD) and hippocampal volume, and how CSF amyloid-β (Aβ) modifies these associations. We included 278 cognitively unimpaired participants from the Alfa+ cohort (78 SCD and 200 Controls). Linear models accounting for covariates (age, gender, and mood) were used to test the association between CSF NfL and SCD status, and between CSF NfL and bilateral hippocampal volumes. Interactions with Aβ were also explored. Individuals with SCD had higher CSF NfL and lower CSF Aβ42/40 than Controls. There was a significant interaction between SCD and CSF-Aβ42/40 levels. Stratified analyses showed a significant association between SCD and NfL only in Aβ+ individuals. Higher CSF NfL was significantly associated with lower hippocampal volume specifically in Aβ+ individuals with SCD. The presence of SCD in Aβ+ individuals may represent an early symptom in the Alzheimer's continuum related to incipient neurodegeneration.
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Affiliation(s)
- Gonzalo Sánchez-Benavides
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain.
| | - Marc Suárez-Calvet
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain; Servei de Neurologia, Hospital del Mar, Barcelona, Spain
| | - Marta Milà-Alomà
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain; Universitat Pompeu Fabra, Barcelona, Spain
| | - Eider M Arenaza-Urquijo
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Oriol Grau-Rivera
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain; Servei de Neurologia, Hospital del Mar, Barcelona, Spain
| | - Grégory Operto
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain; Centro de Investigación Biomédica en Red Bioingeniería, Biomateriales y Nanomedicina, Madrid, Spain
| | - Natalia Vilor-Tejedor
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; Centre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, Barcelona, Spain; Erasmus MC. University Medical Center Rotterdam, Department of Clinical Genetics. Rotterdam, The Netherlands
| | - Aleix Sala-Vila
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Marta Crous-Bou
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO) - Bellvitge Biomedical Research Institute (IDIBELL). L'Hospitalet de Llobregat, Barcelona, Spain
| | - José Maria González-de-Echávarri
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Carolina Minguillon
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Karine Fauria
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Maryline Simon
- Roche Diagnostics International Ltd, Rotkreuz, Switzerland
| | | | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK; UK Dementia Research Institute at UCL, London, UK
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - José Luis Molinuevo
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain; Present address: H. Lundbeck A/S, Denmark.
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Benedet AL, Leuzy A, Pascoal TA, Ashton NJ, Mathotaarachchi S, Savard M, Therriault J, Kang MS, Chamoun M, Schöll M, Zimmer ER, Gauthier S, Labbe A, Zetterberg H, Rosa-Neto P, Blennow K. Stage-specific links between plasma neurofilament light and imaging biomarkers of Alzheimer's disease. Brain 2021; 143:3793-3804. [PMID: 33210117 DOI: 10.1093/brain/awaa342] [Citation(s) in RCA: 61] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 07/28/2020] [Accepted: 08/17/2020] [Indexed: 11/12/2022] Open
Abstract
Neurofilament light (NfL) is a marker of neuroaxonal injury, a prominent feature of Alzheimer's disease. It remains uncertain, however, how it relates to amyloid and tau pathology or neurodegeneration across the Alzheimer's disease continuum. The aim of this study was to investigate how plasma NfL relates to amyloid and tau PET and MRI measures of brain atrophy in participants with and without cognitive impairment. We retrospectively examined the association between plasma NfL and MRI measures of grey/white matter volumes in the Alzheimer's Disease Neuroimaging Initiative [ADNI: n = 1149; 382 cognitively unimpaired control subjects and 767 cognitively impaired participants (mild cognitive impairment n = 420, Alzheimer's disease dementia n = 347)]. Longitudinal plasma NfL was measured using single molecule array (Simoa) technology. Cross-sectional associations between plasma NfL and PET amyloid and tau measures were independently assessed in two cohorts: ADNI [n = 198; 110 cognitively unimpaired, 88 cognitively impaired (MCI n = 67, Alzheimer's disease dementia n = 21), data accessed October 2018]; and Translational Biomarkers in Aging and Dementia [TRIAD, n = 116; 74 cognitively unimpaired, 42 cognitively impaired (MCI n = 16, Alzheimer's disease dementia n = 26), data obtained November 2017 to January 2019]. Associations between plasma NfL and imaging-derived measures were examined voxel-wise using linear regression (cross-sectional) and linear mixed effect models (longitudinal). Cross-sectional analyses in both cohorts showed that plasma NfL was associated with PET findings in brain regions typically affected by Alzheimer's disease; associations were specific to amyloid PET in cognitively unimpaired and tau PET in cognitively impaired (P < 0.05). Longitudinal analyses showed that NfL levels were associated with grey/white matter volume loss; grey matter atrophy in cognitively unimpaired was specific to APOE ε4 carriers (P < 0.05). These findings suggest that plasma NfL increases in response to amyloid-related neuronal injury in preclinical stages of Alzheimer's disease, but is related to tau-mediated neurodegeneration in symptomatic patients. As such, plasma NfL may a useful measure to monitor effects in disease-modifying drug trials.
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Affiliation(s)
- Andréa L Benedet
- Translational Neuroimaging Laboratory, McGill Centre for Studies in Aging, McGill University, Montreal, QC, Canada.,CAPES Foundation, Ministry of Education of Brazil, Brasília, Brazil
| | - Antoine Leuzy
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
| | - Tharick A Pascoal
- Translational Neuroimaging Laboratory, McGill Centre for Studies in Aging, McGill University, Montreal, QC, Canada
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.,King's College London, Institute of Psychiatry, Psychology and Neuroscience, Maurice Wohl Clinical Neuroscience Institute, London, UK.,NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS Foundation, London, UK
| | - Sulantha Mathotaarachchi
- Translational Neuroimaging Laboratory, McGill Centre for Studies in Aging, McGill University, Montreal, QC, Canada
| | - Melissa Savard
- Translational Neuroimaging Laboratory, McGill Centre for Studies in Aging, McGill University, Montreal, QC, Canada
| | - Joseph Therriault
- Translational Neuroimaging Laboratory, McGill Centre for Studies in Aging, McGill University, Montreal, QC, Canada
| | - Min Su Kang
- Translational Neuroimaging Laboratory, McGill Centre for Studies in Aging, McGill University, Montreal, QC, Canada
| | - Mira Chamoun
- Translational Neuroimaging Laboratory, McGill Centre for Studies in Aging, McGill University, Montreal, QC, Canada
| | - Michael Schöll
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden.,Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Eduardo R Zimmer
- Alzheimer's Disease Research Unit, The McGill University Research Centre for Studies in Aging, Montreal, McGill University, Montreal, QC, Canada.,Departament of Pharmacology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Serge Gauthier
- Alzheimer's Disease Research Unit, The McGill University Research Centre for Studies in Aging, Montreal, McGill University, Montreal, QC, Canada
| | - Aurélie Labbe
- Department of Decision Sciences, HEC Montreal, Montreal, QC, Canada
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,UK Dementia Research Institute at UCL, London, UK
| | - Pedro Rosa-Neto
- Translational Neuroimaging Laboratory, McGill Centre for Studies in Aging, McGill University, Montreal, QC, Canada.,Alzheimer's Disease Research Unit, The McGill University Research Centre for Studies in Aging, Montreal, McGill University, Montreal, QC, Canada.,Montreal Neurological Institute, Montreal, QC, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
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44
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Zetterberg H, Blennow K. Moving fluid biomarkers for Alzheimer's disease from research tools to routine clinical diagnostics. Mol Neurodegener 2021; 16:10. [PMID: 33608044 PMCID: PMC7893769 DOI: 10.1186/s13024-021-00430-x] [Citation(s) in RCA: 98] [Impact Index Per Article: 32.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Accepted: 02/05/2021] [Indexed: 12/31/2022] Open
Abstract
Four fluid-based biomarkers have been developed into diagnostic tests for Alzheimer’s disease (AD) pathology: the ratio of 42 to 40 amino acid-long amyloid β, a marker of plaque pathology; total-tau and phosphorylated tau, markers of AD-related changes in tau metabolism and secretion; and neurofilament light, a marker of neurodegeneration. When measured in cerebrospinal fluid, these biomarkers can be used in clinical practice to support a diagnosis of mild cognitive impairment or dementia due to AD. Recently, technological breakthroughs have made it possible to measure them in standard blood samples as well. Here, we give an updated account of the current state of the fluid-based AD biomarker research field. We discuss how the new blood tests may be used in research and clinical practice, and what role they may play in relation to more established diagnostic tests, such as CSF biomarkers and amyloid and tau positron emission tomography, to facilitate the effective implementation of future disease-modifying therapies.
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Affiliation(s)
- Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden. .,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden. .,Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK. .,UK Dementia Research Institute at UCL, London, UK.
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden. .,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.
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45
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Wang Z, Yang J, Zhu W, Tang Y, Jia J. The synaptic marker neurogranin as a disease state biomarker in Alzheimer's disease: a systematic review and meta-analysis. Int J Neurosci 2021; 132:1245-1253. [PMID: 33527855 DOI: 10.1080/00207454.2021.1881087] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Objective: Synaptic degeneration is the pathologic foundation of cognitive decline in the Alzheimer's disease (AD) continuum. We aimed to determine whether cerebrospinal fluid (CSF) synaptic marker neurogranin (Ng) is a disease state or a disease stage biomarker in the AD continuum.Methods: Studies comparing CSF Ng levels among AD, mild cognitive impairment (MCI) and healthy participants were included. Studies were eligible if the correlation between CSF Ng levels and Mini-Mental Status Examination (MMSE) scores was investigated.Results: Twenty-one studies met our inclusion criteria (n = 4515). The magnitude of effect sizes was more apparent in AD (standardized mean difference [SMD] = 1.72; 95% confidence interval [CI] = 1.23-2.22), than in MCI (SMD = 0.82; 95% CI = 0.29-1.34) compared to control populations. These results suggest that CSF Ng can discriminate AD and MCI from control populations, implying that synaptic degeneration worsens as patients progress from MCI to AD. However, there was a very weak correlation between CSF Ng levels and MMSE scores (r = -0.15; 95% CI = -0.21--0.08) among the whole populations, suggesting that an increment of CSF Ng is best considered a biological evidence of disease state in the AD continuum.Conclusion: Our study provides evidence that the synaptic marker CSF Ng can be used as a disease state biomarker for the AD continuum. Because synaptic degeneration is a distinct pathologic event from amyloid deposition and neurofibrillary tangle formation, CSF Ng may provide an important supplementation to the AT(N) biomarker system to reveal the sequence of neuropathology.
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Affiliation(s)
- Zhibin Wang
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Jianwei Yang
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Wei Zhu
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Yi Tang
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China.,Neurodegenerative Laboratory of Ministry of Education of the People's Republic of China, Beijing, China
| | - Jianping Jia
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China.,Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China.,Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China
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46
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Zetterberg H, Bendlin BB. Biomarkers for Alzheimer's disease-preparing for a new era of disease-modifying therapies. Mol Psychiatry 2021; 26:296-308. [PMID: 32251378 PMCID: PMC8172244 DOI: 10.1038/s41380-020-0721-9] [Citation(s) in RCA: 190] [Impact Index Per Article: 63.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Revised: 03/17/2020] [Accepted: 03/24/2020] [Indexed: 12/25/2022]
Abstract
Clinical trial results presented in 2019 suggest that antibody-based removal of cerebral amyloid β (Aβ) plaques may possibly clear tau tangles and modestly slow cognitive decline in symptomatic Alzheimer's disease (AD). Although regulatory approval of this approach is still pending, preparing the healthcare system for the advent of disease-modifying therapies against AD is imperative. In particular, it will be necessary to identify the most suitable biomarkers to facilitate appropriate treatment of AD. Here, we give an update on recent developments in fluid and imaging biomarkers for AD-related pathologies and discuss potential approaches that could be adopted to screen for and clarify the underlying pathology in people seeking medical advice because of cognitive symptoms. We succinctly review recent data regarding biomarkers for Aβ and tau pathology, neurodegeneration, synaptic dysfunction, and inflammation, highlight the need for further research into common copathologies, and suggest how different biomarkers could be used (most likely in combination) to facilitate the development and clinical implementation of novel drug candidates against AD.
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Affiliation(s)
- Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK.
- UK Dementia Research Institute at UCL, London, UK.
| | - Barbara B Bendlin
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
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47
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Clinical Utility of the Pathogenesis-Related Proteins in Alzheimer's Disease. Int J Mol Sci 2020; 21:ijms21228661. [PMID: 33212853 PMCID: PMC7698353 DOI: 10.3390/ijms21228661] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 11/05/2020] [Accepted: 11/13/2020] [Indexed: 12/16/2022] Open
Abstract
Research on the Aβ cascade and alternations of biomarkers in neuro-inflammation, synaptic dysfunction, and neuronal injury followed by Aβ have progressed. But the question is how to use the biomarkers. Here, we examine the evidence and pathogenic implications of protein interactions and the time order of alternation. After the deposition of Aβ, the change of tau, neurofilament light chain (NFL), and neurogranin (Ng) is the main alternation and connection to others. Neuro-inflammation, synaptic dysfunction, and neuronal injury function is exhibited prior to the structural and metabolic changes in the brain following Aβ deposition. The time order of such biomarkers compared to the tau protein is not clear. Despite the close relationship between biomarkers and plaque Aβ deposition, several factors favor one or the other. There is an interaction between some proteins that can predict the brain amyloid burden. The Aβ cascade hypothesis could be the pathway, but not all subjects suffer from Alzheimer's disease (AD) within a long follow-up, even with very elevated Aβ. The interaction of biomarkers and the time order of change require further research to identify the right subjects and right molecular target for precision medicine therapies.
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48
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Forloni G. Alzheimer's disease: from basic science to precision medicine approach. BMJ Neurol Open 2020; 2:e000079. [PMID: 33681801 PMCID: PMC7903168 DOI: 10.1136/bmjno-2020-000079] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 08/24/2020] [Accepted: 10/16/2020] [Indexed: 12/14/2022] Open
Abstract
Alzheimer’s disease (AD) is the most common form of dementia in the elderly. Together with cerebral amyloid accumulation, several factors contribute to AD pathology including vascular alterations, systemic inflammation, genetic/epigenetic status and mitochondrial dysfunction. Much is now being devoted to neuroinflammation. However, anti-inflammatory drugs as numerous other therapies, mainly targeted on β-amyloid, have failed to show efficacious effects in AD. Timing, proper selection of patients, and the need for a multitarget approach appear to be the main weak points of current therapeutic efforts. The efficacy of a treatment could be better evaluate if efficient biomarkers are available. We propose here the application of precision medicine principles in AD to simultaneously verify the efficacy of a treatment and the reliability of specific biomarkers according to individually tailored biomarker-guided targeted therapies. People at risk of developing AD or in the very early phase of the disease should be stratified according to: (1) neuropsychological tests; (2) apolipoprotein E (ApoE) genotyping; (3) biochemical analysis of plasma and cerebrospinal fluid (CSF); (4) MRI and positron emission tomography and (5) assessment of their inflammatory profile by an integration of various genetic and biochemical parameters in plasma, CSF and an analysis of microbiota composition. The selected population should be treated with antiamyloidogenic and anti-inflammatory drugs in randomised, longitudinal, placebo-controlled studies using ad hoc profiles (eg, vascular profile, mitochondrial profile, etc…) If these criteria are adopted widely and the results shared, it may be possible to rapidly develop innovative and personalised drug treatment protocols with more realistic chances of being efficacious.
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Affiliation(s)
- Gianluigi Forloni
- Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri, Milano, Lombardia, Italy
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49
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Neurogranin and VILIP-1 as Molecular Indicators of Neurodegeneration in Alzheimer's Disease: A Systematic Review and Meta-Analysis. Int J Mol Sci 2020; 21:ijms21218335. [PMID: 33172069 PMCID: PMC7664397 DOI: 10.3390/ijms21218335] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 11/03/2020] [Accepted: 11/04/2020] [Indexed: 12/13/2022] Open
Abstract
Neurogranin (Ng) and visinin-like protein 1 (VILIP-1) are promising candidates for Alzheimer's Disease (AD) biomarkers closely related to synaptic and neuronal degeneration. Both proteins are involved in calcium-mediated pathways. The meta-analysis was performed in random effects based on the ratio of means (RoM) with calculated pooled effect size. The diagnostic utility of these proteins was examined in cerebrospinal fluid (CSF) of patients in different stages of AD compared to control (CTRL). Ng concentration was also checked in various groups with positive (+) and negative (-) amyloid beta (Aβ). Ng highest levels of RoM were observed in the AD (n = 1894) compared to CTRL (n = 2051) group (RoM: 1.62). Similarly, the VILIP-1 highest values of RoM were detected in the AD (n = 706) compared to CTRL (n = 862) group (RoM: 1.34). Concentrations of both proteins increased in more advanced stages of AD. However, Ng seems to be an earlier biomarker for the assessment of cognitive impairment. Ng appears to be related with amyloid beta, and the highest levels of Ng in CSF was observed in the group with pathological Aβ+ status. Our meta-analysis confirms that Ng and VILIP-1 can be useful CSF biomarkers in differential diagnosis and monitoring progression of cognitive decline. Although, an additional advantage of the protein concentration Ng is the possibility of using it to predict the risk of developing cognitive impairment in normal controls with pathological levels of Aβ1-42. Analyses in larger cohorts are needed, particularly concerning Aβ status.
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50
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Barro C, Chitnis T, Weiner HL. Blood neurofilament light: a critical review of its application to neurologic disease. Ann Clin Transl Neurol 2020; 7:2508-2523. [PMID: 33146954 PMCID: PMC7732243 DOI: 10.1002/acn3.51234] [Citation(s) in RCA: 121] [Impact Index Per Article: 30.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Accepted: 10/12/2020] [Indexed: 02/06/2023] Open
Abstract
Neuronal injury is a universal event that occurs in disease processes that affect both the central and peripheral nervous systems. A blood biomarker linked to neuronal injury would provide a critical measure to understand and treat neurologic diseases. Neurofilament light chain (NfL), a cytoskeletal protein expressed only in neurons, has emerged as such a biomarker. With the ability to quantify neuronal damage in blood, NfL is being applied to a wide range of neurologic conditions to investigate and monitor disease including assessment of treatment efficacy. Blood NfL is not specific for one disease and its release can also be induced by physiological processes. Longitudinal studies in multiple sclerosis, traumatic brain injury, and stroke show accumulation of NfL over days followed by elevated levels over months. Therefore, it may be hard to determine with a single measurement when the peak of NfL is reached and when the levels are normalized. Nonetheless, measurement of blood NfL provides a new blood biomarker for neurologic diseases overcoming the invasiveness of CSF sampling that restricted NfL clinical application. In this review, we examine the use of blood NfL as a biologic test for neurologic disease.
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Affiliation(s)
- Christian Barro
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Tanuja Chitnis
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Howard L Weiner
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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