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Nguyen DLB, Okolicsanyi RK, Haupt LM. Heparan sulfate proteoglycans: Mediators of cellular and molecular Alzheimer's disease pathogenic factors via tunnelling nanotubes? Mol Cell Neurosci 2024; 129:103936. [PMID: 38750678 DOI: 10.1016/j.mcn.2024.103936] [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: 03/07/2024] [Revised: 04/14/2024] [Accepted: 05/01/2024] [Indexed: 05/19/2024] Open
Abstract
Neurological disorders impact around one billion individuals globally (15 % approx.), with significant implications for disability and mortality with their impact in Australia currently amounts to 6.8 million deaths annually. Heparan sulfate proteoglycans (HSPGs) are complex extracellular molecules implicated in promoting Tau fibril formation resulting in Tau tangles, a hallmark of Alzheimer's disease (AD). HSPG-Tau protein interactions contribute to various AD stages via aggregation, toxicity, and clearance, largely via interactions with the glypican 1 and syndecan 3 core proteins. The tunnelling nanotubes (TNTs) pathway is emerging as a facilitator of intercellular molecule transport, including Tau and Amyloid β proteins, across extensive distances. While current TNT-associated evidence primarily stems from cancer models, their role in Tau propagation and its effects on recipient cells remain unclear. This review explores the interplay of TNTs, HSPGs, and AD-related factors and proposes that HSPGs influence TNT formation in neurodegenerative conditions such as AD.
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Affiliation(s)
- Duy L B Nguyen
- Stem Cell and Neurogenesis Group, Genomics Research Centre, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Queensland University of Technology (QUT), 60 Musk Ave., Kelvin Grove, Queensland 4059, Australia
| | - Rachel K Okolicsanyi
- Stem Cell and Neurogenesis Group, Genomics Research Centre, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Queensland University of Technology (QUT), 60 Musk Ave., Kelvin Grove, Queensland 4059, Australia; ARC Training Centre for Cell and Tissue Engineering Technologies, Queensland University of Technology (QUT), Australia
| | - Larisa M Haupt
- Stem Cell and Neurogenesis Group, Genomics Research Centre, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Queensland University of Technology (QUT), 60 Musk Ave., Kelvin Grove, Queensland 4059, Australia; Centre for Biomedical Technologies, Queensland University of Technology (QUT), 60 Musk Ave., Kelvin Grove, QLD 4059, Australia; ARC Training Centre for Cell and Tissue Engineering Technologies, Queensland University of Technology (QUT), Australia; Max Planck Queensland Centre for the Materials Sciences of Extracellular Matrices, Queensland University of Technology (QUT), Australia.
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2
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Ratan Y, Rajput A, Maleysm S, Pareek A, Jain V, Pareek A, Kaur R, Singh G. An Insight into Cellular and Molecular Mechanisms Underlying the Pathogenesis of Neurodegeneration in Alzheimer's Disease. Biomedicines 2023; 11:biomedicines11051398. [PMID: 37239068 DOI: 10.3390/biomedicines11051398] [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: 04/21/2023] [Revised: 05/04/2023] [Accepted: 05/06/2023] [Indexed: 05/28/2023] Open
Abstract
Alzheimer's disease (AD) is the most prominent neurodegenerative disorder in the aging population. It is characterized by cognitive decline, gradual neurodegeneration, and the development of amyloid-β (Aβ)-plaques and neurofibrillary tangles, which constitute hyperphosphorylated tau. The early stages of neurodegeneration in AD include the loss of neurons, followed by synaptic impairment. Since the discovery of AD, substantial factual research has surfaced that outlines the disease's causes, molecular mechanisms, and prospective therapeutics, but a successful cure for the disease has not yet been discovered. This may be attributed to the complicated pathogenesis of AD, the absence of a well-defined molecular mechanism, and the constrained diagnostic resources and treatment options. To address the aforementioned challenges, extensive disease modeling is essential to fully comprehend the underlying mechanisms of AD, making it easier to design and develop effective treatment strategies. Emerging evidence over the past few decades supports the critical role of Aβ and tau in AD pathogenesis and the participation of glial cells in different molecular and cellular pathways. This review extensively discusses the current understanding concerning Aβ- and tau-associated molecular mechanisms and glial dysfunction in AD. Moreover, the critical risk factors associated with AD including genetics, aging, environmental variables, lifestyle habits, medical conditions, viral/bacterial infections, and psychiatric factors have been summarized. The present study will entice researchers to more thoroughly comprehend and explore the current status of the molecular mechanism of AD, which may assist in AD drug development in the forthcoming era.
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Affiliation(s)
- Yashumati Ratan
- Department of Pharmacy, Banasthali Vidyapith, Banasthali 304022, Rajasthan, India
| | - Aishwarya Rajput
- Department of Pharmacy, Banasthali Vidyapith, Banasthali 304022, Rajasthan, India
| | - Sushmita Maleysm
- Department of Bioscience & Biotechnology, Banasthali Vidyapith, Banasthali 304022, Rajasthan, India
| | - Aaushi Pareek
- Department of Pharmacy, Banasthali Vidyapith, Banasthali 304022, Rajasthan, India
| | - Vivek Jain
- Department of Pharmaceutical Sciences, Mohan Lal Sukhadia University, Udaipur 313001, Rajasthan, India
| | - Ashutosh Pareek
- Department of Pharmacy, Banasthali Vidyapith, Banasthali 304022, Rajasthan, India
| | - Ranjeet Kaur
- Adesh Institute of Dental Sciences and Research, Bathinda 151101, Punjab, India
| | - Gurjit Singh
- Department of Biomedical Engineering, University of Illinois Chicago, Chicago, IL 60607, USA
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3
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Tsoi PS, Quan MD, Ferreon JC, Ferreon ACM. Aggregation of Disordered Proteins Associated with Neurodegeneration. Int J Mol Sci 2023; 24:3380. [PMID: 36834792 PMCID: PMC9966039 DOI: 10.3390/ijms24043380] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Revised: 02/02/2023] [Accepted: 02/06/2023] [Indexed: 02/10/2023] Open
Abstract
Cellular deposition of protein aggregates, one of the hallmarks of neurodegeneration, disrupts cellular functions and leads to neuronal death. Mutations, posttranslational modifications, and truncations are common molecular underpinnings in the formation of aberrant protein conformations that seed aggregation. The major proteins involved in neurodegeneration include amyloid beta (Aβ) and tau in Alzheimer's disease, α-synuclein in Parkinson's disease, and TAR DNA-binding protein (TDP-43) in amyotrophic lateral sclerosis (ALS). These proteins are described as intrinsically disordered and possess enhanced ability to partition into biomolecular condensates. In this review, we discuss the role of protein misfolding and aggregation in neurodegenerative diseases, specifically highlighting implications of changes to the primary/secondary (mutations, posttranslational modifications, and truncations) and the quaternary/supramolecular (oligomerization and condensation) structural landscapes for the four aforementioned proteins. Understanding these aggregation mechanisms provides insights into neurodegenerative diseases and their common underlying molecular pathology.
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Affiliation(s)
| | | | - Josephine C. Ferreon
- Department of Pharmacology and Chemical Biology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Allan Chris M. Ferreon
- Department of Pharmacology and Chemical Biology, Baylor College of Medicine, Houston, TX 77030, USA
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4
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Ghimire ML, Cox BD, Winn CA, Rockett TW, Schifano NP, Slagle HM, Gonzalez F, Bertino MF, Caputo GA, Reiner JE. Selective Detection and Characterization of Small Cysteine-Containing Peptides with Cluster-Modified Nanopore Sensing. ACS NANO 2022; 16:17229-17241. [PMID: 36214366 DOI: 10.1021/acsnano.2c07842] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
It was recently demonstrated that one can monitor ligand-induced structure fluctuations of individual thiolate-capped gold nanoclusters using resistive-pulse nanopore sensing. The magnitude of the fluctuations scales with the size of the capping ligand, and it was later shown one can observe ligand exchange in this nanopore setup. We expand on these results by exploring the different types of current fluctuations associated with peptide ligands attaching to tiopronin-capped gold nanoclusters. We show here that the fluctuations can be used to identify the attaching peptide through either the magnitude of the peptide-induced current jumps or the onset of high-frequency current fluctuations. Importantly, the peptide attachment process requires that the peptide contains a cysteine residue. This suggests that nanopore-based monitoring of peptide attachments with thiolate-capped clusters could provide a means for selective detection of cysteine-containing peptides. Finally, we demonstrate the cluster-based protocol with various peptide mixtures to show that one can identify more than one cysteine-containing peptide in a mixture.
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Affiliation(s)
- Madhav L Ghimire
- Department of Physics, Virginia Commonwealth University, Richmond, Virginia 23284, United States
| | - Bobby D Cox
- Department of Physics, Virginia Commonwealth University, Richmond, Virginia 23284, United States
| | - Cole A Winn
- Department of Physics, Virginia Commonwealth University, Richmond, Virginia 23284, United States
| | - Thomas W Rockett
- Department of Physics, Virginia Commonwealth University, Richmond, Virginia 23284, United States
| | - Nicholas P Schifano
- Department of Chemistry and Biochemistry, Rowan University, Glassboro, New Jersey 08028, United States
| | - Hannah M Slagle
- Department of Chemistry and Biochemistry, Rowan University, Glassboro, New Jersey 08028, United States
| | - Frank Gonzalez
- Department of Chemistry and Biochemistry, Rowan University, Glassboro, New Jersey 08028, United States
| | - Massimo F Bertino
- Department of Physics, Virginia Commonwealth University, Richmond, Virginia 23284, United States
| | - Gregory A Caputo
- Department of Chemistry and Biochemistry, Rowan University, Glassboro, New Jersey 08028, United States
| | - Joseph E Reiner
- Department of Physics, Virginia Commonwealth University, Richmond, Virginia 23284, United States
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5
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Effects of Linkers and Substitutions on Multitarget Directed Ligands for Alzheimer’s Diseases: Emerging Paradigms and Strategies. Int J Mol Sci 2022; 23:ijms23116085. [PMID: 35682763 PMCID: PMC9181730 DOI: 10.3390/ijms23116085] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 05/24/2022] [Accepted: 05/25/2022] [Indexed: 02/06/2023] Open
Abstract
Alzheimer’s disease (AD) is multifactorial, progressive and the most predominant cause of cognitive impairment and dementia worldwide. The current “one-drug, one-target” approach provides only symptomatic relief to the condition but is unable to cure the disease completely. The conventional single-target therapeutic approach might not always induce the desired effect due to the multifactorial nature of AD. Hence, multitarget strategies have been proposed to simultaneously knock out multiple targets involved in the development of AD. Herein, we provide an overview of the various strategies, followed by the multitarget-directed ligand (MTDL) development, rationale designs and efficient examples. Furthermore, the effects of the linkers and substitutional functional groups on MTDLs against various targets of AD and their modes of action are also discussed.
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6
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Manukyan AL. Noise as a cause of neurodegenerative disorders: molecular and cellular mechanisms. Neurol Sci 2022; 43:2983-2993. [PMID: 35166975 DOI: 10.1007/s10072-022-05948-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 02/08/2022] [Indexed: 12/21/2022]
Abstract
Noise as an environmental stressor becomes of increasing importance in our industrialized world, and especially traffic noise from the environment represents a potential novel neurodegenerative risk factor, as well as for hearing loss. A significant number of studies have been suggested that the overproduction of reactive oxygen species (ROS) has a complex role in stimulation of pathologic events. Experimental studies upon molecular pathways of traffic noise exposure proposed that it increased the level of stress hormones and mediated the inflammatory and oxidative stress (OS) pathways resulting in endothelial and neuronal dysfunction. Studies have shown that neurons are especially sensitive to OS due to high polyunsaturated fatty acids content in membranes, high oxygen uptake, and weak antioxidant defense. However, OS induces the necrotic and apoptotic cell deaths in the cochlea. Chronic noise is one of the many overall reasons of obtained sensorineural hearing loss which destroys cognitive functions in human and animals, as well as suppresses neurogenesis in the hippocampus. Nevertheless, behavioral disorders caused by noise are mainly accompanied with oxidative stress, but the clear molecular mechanism of neurodegeneration due to disruption of the pro- and antioxidant systems is still not fully understood. This paper aims to highlight the down-stream pathophysiology of noise-induced mental disorders, including hearing loss, annoyance, anxiety, depression, memory loss, and Alzheimer's disease, describing the underlying mechanisms of induction of inflammation and oxidative stress.
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Affiliation(s)
- Ashkhen L Manukyan
- Department of Medical Chemistry, Yerevan State Medical University after M. Heratsi, Koryun 2, 0025, Yerevan, Armenia.
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7
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Soluble amyloid-beta isoforms predict downstream Alzheimer's disease pathology. Cell Biosci 2021; 11:204. [PMID: 34895338 PMCID: PMC8665586 DOI: 10.1186/s13578-021-00712-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Accepted: 11/11/2021] [Indexed: 11/25/2022] Open
Abstract
Background Changes in soluble amyloid-beta (Aβ) levels in cerebrospinal fluid (CSF) are detectable at early preclinical stages of Alzheimer’s disease (AD). However, whether Aβ levels can predict downstream AD pathological features in cognitively unimpaired (CU) individuals remains unclear. With this in mind, we aimed at investigating whether a combination of soluble Aβ isoforms can predict tau pathology (T+) and neurodegeneration (N+) positivity. Methods We used CSF measurements of three soluble Aβ peptides (Aβ1–38, Aβ1–40 and Aβ1–42) in CU individuals (n = 318) as input features in machine learning (ML) models aiming at predicting T+ and N+. Input data was used for building 2046 tuned predictive ML models with a nested cross-validation technique. Additionally, proteomics data was employed to investigate the functional enrichment of biological processes altered in T+ and N+ individuals. Results Our findings indicate that Aβ isoforms can predict T+ and N+ with an area under the curve (AUC) of 0.929 and 0.936, respectively. Additionally, proteomics analysis identified 17 differentially expressed proteins (DEPs) in individuals wrongly classified by our ML model. More specifically, enrichment analysis of gene ontology biological processes revealed an upregulation in myelinization and glucose metabolism-related processes in CU individuals wrongly predicted as T+. A significant enrichment of DEPs in pathways including biosynthesis of amino acids, glycolysis/gluconeogenesis, carbon metabolism, cell adhesion molecules and prion disease was also observed. Conclusions Our results demonstrate that, by applying a refined ML analysis, a combination of Aβ isoforms can predict T+ and N+ with a high AUC. CSF proteomics analysis highlighted a promising group of proteins that can be further explored for improving T+ and N+ prediction. Supplementary Information The online version contains supplementary material available at 10.1186/s13578-021-00712-3.
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8
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Das R, Rauf A, Akhter S, Islam MN, Emran TB, Mitra S, Khan IN, Mubarak MS. Role of Withaferin A and Its Derivatives in the Management of Alzheimer's Disease: Recent Trends and Future Perspectives. Molecules 2021; 26:3696. [PMID: 34204308 PMCID: PMC8234716 DOI: 10.3390/molecules26123696] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 06/12/2021] [Accepted: 06/15/2021] [Indexed: 01/02/2023] Open
Abstract
Globally, Alzheimer's disease (AD) is one of the most prevalent age-related neurodegenerative disorders associated with cognitive decline and memory deficits due to beta-amyloid deposition (Aβ) and tau protein hyperphosphorylation. To date, approximately 47 million people worldwide have AD. This figure will rise to an estimated 75.6 million by 2030 and 135.5 million by 2050. According to the literature, the efficacy of conventional medications for AD is statistically substantial, but clinical relevance is restricted to disease slowing rather than reversal. Withaferin A (WA) is a steroidal lactone glycowithanolides, a secondary metabolite with comprehensive biological effects. Biosynthetically, it is derived from Withania somnifera (Ashwagandha) and Acnistus breviflorus (Gallinero) through the mevalonate and non-mevalonate pathways. Mounting evidence shows that WA possesses inhibitory activities against developing a pathological marker of Alzheimer's diseases. Several cellular and animal models' particulates to AD have been conducted to assess the underlying protective effect of WA. In AD, the neuroprotective potential of WA is mediated by reduction of beta-amyloid plaque aggregation, tau protein accumulation, regulation of heat shock proteins, and inhibition of oxidative and inflammatory constituents. Despite the various preclinical studies on WA's therapeutic potentiality, less is known regarding its definite efficacy in humans for AD. Accordingly, the present study focuses on the biosynthesis of WA, the epidemiology and pathophysiology of AD, and finally the therapeutic potential of WA for the treatment and prevention of AD, highlighting the research and augmentation of new therapeutic approaches. Further clinical trials are necessary for evaluating the safety profile and confirming WA's neuroprotective potency against AD.
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Affiliation(s)
- Rajib Das
- Department of Pharmacy, Faculty of Pharmacy, University of Dhaka, Dhaka 1000, Bangladesh; (R.D.); (S.M.)
| | - Abdur Rauf
- Department of Chemistry, University of Swabi, Anbar 23561, Pakistan;
| | - Saima Akhter
- Department of Pharmacy, International Islamic University Chittagong, Chittagong 4318, Bangladesh;
| | - Mohammad Nazmul Islam
- Department of Pharmacy, International Islamic University Chittagong, Chittagong 4318, Bangladesh;
| | - Talha Bin Emran
- Department of Pharmacy, BGC Trust University Bangladesh, Chittagong 4381, Bangladesh
| | - Saikat Mitra
- Department of Pharmacy, Faculty of Pharmacy, University of Dhaka, Dhaka 1000, Bangladesh; (R.D.); (S.M.)
| | - Ishaq N. Khan
- Institute of Basic Medical Sciences, Khyber Medical University, Peshawar 25100, Pakistan;
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9
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Guo T, Zhang D, Zeng Y, Huang TY, Xu H, Zhao Y. Molecular and cellular mechanisms underlying the pathogenesis of Alzheimer's disease. Mol Neurodegener 2020; 15:40. [PMID: 32677986 PMCID: PMC7364557 DOI: 10.1186/s13024-020-00391-7] [Citation(s) in RCA: 394] [Impact Index Per Article: 98.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2019] [Accepted: 06/17/2020] [Indexed: 12/11/2022] Open
Abstract
Alzheimer’s disease (AD) is the most common neurodegenerative disorder seen in age-dependent dementia. There is currently no effective treatment for AD, which may be attributed in part to lack of a clear underlying mechanism. Studies within the last few decades provide growing evidence for a central role of amyloid β (Aβ) and tau, as well as glial contributions to various molecular and cellular pathways in AD pathogenesis. Herein, we review recent progress with respect to Aβ- and tau-associated mechanisms, and discuss glial dysfunction in AD with emphasis on neuronal and glial receptors that mediate Aβ-induced toxicity. We also discuss other critical factors that may affect AD pathogenesis, including genetics, aging, variables related to environment, lifestyle habits, and describe the potential role of apolipoprotein E (APOE), viral and bacterial infection, sleep, and microbiota. Although we have gained much towards understanding various aspects underlying this devastating neurodegenerative disorder, greater commitment towards research in molecular mechanism, diagnostics and treatment will be needed in future AD research.
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Affiliation(s)
- Tiantian Guo
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, China
| | - Denghong Zhang
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, China
| | - Yuzhe Zeng
- Department of Orthopaedics, Orthopaedic Center of People's Liberation Army, The Affiliated Southeast Hospital of Xiamen University, Zhangzhou, China
| | - Timothy Y Huang
- Neuroscience Initiative, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, California, USA.
| | - Huaxi Xu
- Neuroscience Initiative, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, California, USA.
| | - Yingjun Zhao
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, China.
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10
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Delaby C, Alcolea D, Carmona-Iragui M, Illán-Gala I, Morenas-Rodríguez E, Barroeta I, Altuna M, Estellés T, Santos-Santos M, Turon-Sans J, Muñoz L, Ribosa-Nogué R, Sala-Matavera I, Sánchez-Saudinos B, Subirana A, Videla L, Benejam B, Sirisi S, Lehmann S, Belbin O, Clarimon J, Blesa R, Pagonabarraga J, Rojas-Garcia R, Fortea J, Lleó A. Differential levels of Neurofilament Light protein in cerebrospinal fluid in patients with a wide range of neurodegenerative disorders. Sci Rep 2020; 10:9161. [PMID: 32514050 PMCID: PMC7280194 DOI: 10.1038/s41598-020-66090-x] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Accepted: 03/14/2020] [Indexed: 12/29/2022] Open
Abstract
Cerebrospinal fluid (CSF) biomarkers are useful in the diagnosis and the prediction of progression of several neurodegenerative diseases. Among them, CSF neurofilament light (NfL) protein has particular interest, as its levels reflect neuroaxonal degeneration, a common feature in various neurodegenerative diseases. In the present study, we analyzed NfL levels in the CSF of 535 participants of the SPIN (Sant Pau Initiative on Neurodegeneration) cohort including cognitively normal participants, patients with Alzheimer disease (AD), Down syndrome (DS), frontotemporal dementia (FTD), amyotrophic lateral sclerosis (ALS), dementia with Lewy bodies (DLB), progressive supranuclear palsy (PSP) and corticobasal syndrome (CBS). We evaluated the differences in CSF NfL accross groups and its association with other CSF biomarkers and with cognitive scales. All neurogenerative diseases showed increased levels of CSF NfL, with the highest levels in patients with ALS, FTD, CBS and PSP. Furthermore, we found an association of CSF NfL levels with cognitive impairment in patients within the AD and FTD spectrum and with AD pathology in DLB and DS patients. These results have implications for the use of NfL as a marker in neurodegenerative diseases.
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Affiliation(s)
- C Delaby
- Université de Montpellier, CHU de Montpellier, Laboratoire de Biochimie-Protéomique clinique, INSERM U1183, Montpellier, France.,Department of Neurology, Sant Pau Memory Unit, Hospital de la Santa Creu i Sant Pau - IIB Sant Pau, Barcelona, Spain
| | - D Alcolea
- Department of Neurology, Sant Pau Memory Unit, Hospital de la Santa Creu i Sant Pau - IIB Sant Pau, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, Ciberned, Spain
| | - M Carmona-Iragui
- Department of Neurology, Sant Pau Memory Unit, Hospital de la Santa Creu i Sant Pau - IIB Sant Pau, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, Ciberned, Spain.,Barcelona Down Medical Center, Fundació Catalana Síndrome de Down, Barcelona, Spain
| | - I Illán-Gala
- Department of Neurology, Sant Pau Memory Unit, Hospital de la Santa Creu i Sant Pau - IIB Sant Pau, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, Ciberned, Spain
| | - E Morenas-Rodríguez
- Department of Neurology, Sant Pau Memory Unit, Hospital de la Santa Creu i Sant Pau - IIB Sant Pau, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, Ciberned, Spain
| | - I Barroeta
- Department of Neurology, Sant Pau Memory Unit, Hospital de la Santa Creu i Sant Pau - IIB Sant Pau, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, Ciberned, Spain
| | - M Altuna
- Department of Neurology, Sant Pau Memory Unit, Hospital de la Santa Creu i Sant Pau - IIB Sant Pau, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, Ciberned, Spain
| | - T Estellés
- Department of Neurology, Sant Pau Memory Unit, Hospital de la Santa Creu i Sant Pau - IIB Sant Pau, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, Ciberned, Spain
| | - M Santos-Santos
- Department of Neurology, Sant Pau Memory Unit, Hospital de la Santa Creu i Sant Pau - IIB Sant Pau, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, Ciberned, Spain
| | - J Turon-Sans
- Department of Neurology, Neuromuscular Diseases Unit, MND Clinic, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Raras, Ciberer, Spain
| | - L Muñoz
- Department of Neurology, Sant Pau Memory Unit, Hospital de la Santa Creu i Sant Pau - IIB Sant Pau, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, Ciberned, Spain
| | - R Ribosa-Nogué
- Department of Neurology, Sant Pau Memory Unit, Hospital de la Santa Creu i Sant Pau - IIB Sant Pau, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, Ciberned, Spain
| | - I Sala-Matavera
- Department of Neurology, Sant Pau Memory Unit, Hospital de la Santa Creu i Sant Pau - IIB Sant Pau, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, Ciberned, Spain
| | - B Sánchez-Saudinos
- Department of Neurology, Sant Pau Memory Unit, Hospital de la Santa Creu i Sant Pau - IIB Sant Pau, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, Ciberned, Spain
| | - A Subirana
- Department of Neurology, Sant Pau Memory Unit, Hospital de la Santa Creu i Sant Pau - IIB Sant Pau, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, Ciberned, Spain
| | - L Videla
- Department of Neurology, Sant Pau Memory Unit, Hospital de la Santa Creu i Sant Pau - IIB Sant Pau, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, Ciberned, Spain.,Barcelona Down Medical Center, Fundació Catalana Síndrome de Down, Barcelona, Spain
| | - B Benejam
- Department of Neurology, Sant Pau Memory Unit, Hospital de la Santa Creu i Sant Pau - IIB Sant Pau, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, Ciberned, Spain.,Barcelona Down Medical Center, Fundació Catalana Síndrome de Down, Barcelona, Spain
| | - S Sirisi
- Department of Neurology, Sant Pau Memory Unit, Hospital de la Santa Creu i Sant Pau - IIB Sant Pau, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, Ciberned, Spain
| | - S Lehmann
- Université de Montpellier, CHU de Montpellier, Laboratoire de Biochimie-Protéomique clinique, INSERM U1183, Montpellier, France
| | - O Belbin
- Department of Neurology, Sant Pau Memory Unit, Hospital de la Santa Creu i Sant Pau - IIB Sant Pau, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, Ciberned, Spain
| | - J Clarimon
- Department of Neurology, Sant Pau Memory Unit, Hospital de la Santa Creu i Sant Pau - IIB Sant Pau, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, Ciberned, Spain
| | - R Blesa
- Department of Neurology, Sant Pau Memory Unit, Hospital de la Santa Creu i Sant Pau - IIB Sant Pau, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, Ciberned, Spain
| | - J Pagonabarraga
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, Ciberned, Spain.,Department of Neurology, Movement Disorders Unit, Hospital de la Santa Creu i Sant Pau - IIB Sant Pau, Barcelona, Spain
| | - R Rojas-Garcia
- Department of Neurology, Neuromuscular Diseases Unit, MND Clinic, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Raras, Ciberer, Spain
| | - J Fortea
- Department of Neurology, Sant Pau Memory Unit, Hospital de la Santa Creu i Sant Pau - IIB Sant Pau, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, Ciberned, Spain.,Barcelona Down Medical Center, Fundació Catalana Síndrome de Down, Barcelona, Spain
| | - A Lleó
- Department of Neurology, Sant Pau Memory Unit, Hospital de la Santa Creu i Sant Pau - IIB Sant Pau, Barcelona, Spain. .,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, Ciberned, Spain.
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11
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van Steenoven I, van der Flier WM, Scheltens P, Teunissen CE, Lemstra AW. Amyloid-β peptides in cerebrospinal fluid of patients with dementia with Lewy bodies. ALZHEIMERS RESEARCH & THERAPY 2019; 11:83. [PMID: 31601267 PMCID: PMC6788069 DOI: 10.1186/s13195-019-0537-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Accepted: 09/09/2019] [Indexed: 12/21/2022]
Abstract
BACKGROUND One of the major challenges in diagnosing dementia with Lewy bodies (DLB) is the common co-morbid presence of amyloid pathology. To understand the putative role of altered amyloid-β (Aβ) metabolism in dementia with DLB, we analyzed levels of different cerebrospinal fluid (CSF) Aβ peptides (Aβ38, Aβ40, Aβ42) in DLB, Alzheimer's disease (AD), and cognitively normal controls. METHODS CSF from patients with DLB (n = 72; age 68 ± 6 years; 10%F; Mini-mental State examination (MMSE) 23 ± 4), AD (n = 38; age 68 ± 6 years; 8%F; MMSE 22 ± 5), and cognitively normal controls (n = 38; age 67 ± 7 years; 13%F; MMSE 29 ± 2) was analyzed using the Meso Scale Discovery assay for human Aβ peptides. We performed general linear models to compare CSF Aβ peptide levels between groups. Associations between CSF Aβ peptides and MMSE score at baseline and longitudinal changes over time were assessed with linear mixed models. RESULTS For all three CSF Aβ peptides and compared to controls (Aβ38 2676 ± 703 pg/ml, Aβ40 6243 ± 1500 pg/ml, and Aβ42 692 ± 205 pg/ml), we observed lower levels in DLB (Aβ38 2247 ± 638, Aβ40 5432 ± 1340, and Aβ42 441 ± 185, p < 0.05), whereas AD patients showed only lower Aβ42 levels (304 ± 71, p < 0.001). The observed differences in Aβ38 and Aβ40 were independent of co-morbid AD pathology (CSF tau/Aβ42 > 0.52) and APOE genotype. Finally, lower Aβ peptide levels were associated with lower MMSE score (β = 1.02-1.11, p < 0.05). CONCLUSION We demonstrated different profiles of CSF Aβ reduction in DLB and AD. In particular, while AD is characterized by an isolated drop in Aβ42, DLB comes with reductions in Aβ38, Aβ40, and Aβ42. This suggests that amyloid metabolism is affected in DLB, even in the absence of co-morbid AD pathology.
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Affiliation(s)
- Inger van Steenoven
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1118, 1081 HV, Amsterdam, The Netherlands.
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1118, 1081 HV, Amsterdam, The Netherlands.,Department of Epidemiology and Biostatistics, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1118, 1081 HV, Amsterdam, The Netherlands
| | - Charlotte E Teunissen
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Afina W Lemstra
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1118, 1081 HV, Amsterdam, The Netherlands
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12
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Shi M, Tang L, Toledo JB, Ginghina C, Wang H, Aro P, Jensen PH, Weintraub D, Chen-Plotkin AS, Irwin DJ, Grossman M, McCluskey L, Elman LB, Wolk DA, Lee EB, Shaw LM, Trojanowski JQ, Zhang J. Cerebrospinal fluid α-synuclein contributes to the differential diagnosis of Alzheimer's disease. Alzheimers Dement 2018; 14:1052-1062. [PMID: 29604263 DOI: 10.1016/j.jalz.2018.02.015] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2017] [Revised: 11/08/2017] [Accepted: 02/07/2018] [Indexed: 10/17/2022]
Abstract
INTRODUCTION The ability of Alzheimer's disease (AD) cerebrospinal fluid (CSF) biomarkers (amyloid β peptide 1-42, total tau, and phosphorylated tau) to discriminate AD from related disorders is limited. Biomarkers for other concomitant pathologies (e.g., CSF α-synuclein [α-syn] for Lewy body pathology) may be needed to further improve the differential diagnosis. METHODS CSF total α-syn, phosphorylated α-syn at Ser129, and AD CSF biomarkers were evaluated with Luminex immunoassays in 367 participants, followed by validation in 74 different neuropathologically confirmed cases. RESULTS CSF total α-syn, when combined with amyloid β peptide 1-42 and either total tau or phosphorylated tau, improved the differential diagnosis of AD versus frontotemporal dementia, Lewy body disorders, or other neurological disorders. The diagnostic accuracy of the combined models attained clinical relevance (area under curve ∼0.9) and was largely validated in neuropathologically confirmed cases. DISCUSSION Combining CSF biomarkers representing AD and Lewy body pathologies may have clinical value in the differential diagnosis of AD.
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Affiliation(s)
- Min Shi
- Department of Pathology, University of Washington School of Medicine, Seattle, WA, USA
| | - Lu Tang
- Department of Pathology, University of Washington School of Medicine, Seattle, WA, USA; Department of Neurology, Peking University Third Hospital, Beijing, China
| | - Jon B Toledo
- Departments of Pathology and Laboratory Medicine, Psychiatry, Neurology and Center for Neurodegenerative Disease Research, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Carmen Ginghina
- Department of Pathology, University of Washington School of Medicine, Seattle, WA, USA
| | - Hua Wang
- Department of Pathology, University of Washington School of Medicine, Seattle, WA, USA; Department of Pathology, Peking University Health Science Centre and Third Hospital, Beijing, China
| | - Patrick Aro
- Department of Pathology, University of Washington School of Medicine, Seattle, WA, USA
| | - Poul H Jensen
- DANDRITE-Danish Research Institute of Translational Neuroscience & Department of Biomedicine, University of Aarhus, Aarhus, Denmark
| | - Daniel Weintraub
- Departments of Pathology and Laboratory Medicine, Psychiatry, Neurology and Center for Neurodegenerative Disease Research, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Alice S Chen-Plotkin
- Departments of Pathology and Laboratory Medicine, Psychiatry, Neurology and Center for Neurodegenerative Disease Research, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - David J Irwin
- Departments of Pathology and Laboratory Medicine, Psychiatry, Neurology and Center for Neurodegenerative Disease Research, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Murray Grossman
- Departments of Pathology and Laboratory Medicine, Psychiatry, Neurology and Center for Neurodegenerative Disease Research, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Leo McCluskey
- Departments of Pathology and Laboratory Medicine, Psychiatry, Neurology and Center for Neurodegenerative Disease Research, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Lauren B Elman
- Departments of Pathology and Laboratory Medicine, Psychiatry, Neurology and Center for Neurodegenerative Disease Research, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - David A Wolk
- Departments of Pathology and Laboratory Medicine, Psychiatry, Neurology and Center for Neurodegenerative Disease Research, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Edward B Lee
- Departments of Pathology and Laboratory Medicine, Psychiatry, Neurology and Center for Neurodegenerative Disease Research, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Leslie M Shaw
- Departments of Pathology and Laboratory Medicine, Psychiatry, Neurology and Center for Neurodegenerative Disease Research, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - John Q Trojanowski
- Departments of Pathology and Laboratory Medicine, Psychiatry, Neurology and Center for Neurodegenerative Disease Research, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Jing Zhang
- Department of Pathology, University of Washington School of Medicine, Seattle, WA, USA; Department of Pathology, Peking University Health Science Centre and Third Hospital, Beijing, China.
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13
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Bate C, Williams A. Monomeric amyloid-β reduced amyloid-β oligomer-induced synapse damage in neuronal cultures. Neurobiol Dis 2017; 111:48-58. [PMID: 29272738 DOI: 10.1016/j.nbd.2017.12.007] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2017] [Revised: 11/12/2017] [Accepted: 12/12/2017] [Indexed: 12/25/2022] Open
Abstract
Alzheimer's disease is a progressive neurodegenerative disease characterized by the accumulation of amyloid-β (Aβ) in the brain. Aβ oligomers are believed to cause synapse damage resulting in the memory deficits that are characteristic of this disease. Since the loss of synaptic proteins in the brain correlates closely with the degree of dementia in Alzheimer's disease, the process of Aβ-induced synapse damage was investigated in cultured neurons by measuring the loss of synaptic proteins. Soluble Aβ oligomers, derived from Alzheimer's-affected brains, caused the loss of cysteine string protein and synaptophysin from neurons. When applied to synaptosomes Aβ oligomers increased cholesterol concentrations and caused aberrant activation of cytoplasmic phospholipase A2 (cPLA2). In contrast, Aβ monomer preparations did not affect cholesterol concentrations or activate synaptic cPLA2, nor did they damage synapses. The Aβ oligomer-induced aggregation of cellular prion proteins (PrPC) at synapses triggered the activation of cPLA2 that leads to synapse degeneration. Critically, Aβ monomer preparations did not cause the aggregation of PrPC; rather they reduced the Aβ oligomer-induced aggregation of PrPC. The presence of Aβ monomer preparations also inhibited the Aβ oligomer-induced increase in cholesterol concentrations and activation of cPLA2 in synaptosomes and protected neurons against the Aβ oligomer-induced synapse damage. These results support the hypothesis that Aβ monomers are neuroprotective. We hypothesise that synapse damage may result from a pathological Aβ monomer:oligomer ratio rather than the total concentrations of Aβ within the brain.
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Affiliation(s)
- Clive Bate
- Department of Pathology and Pathogen Biology, Royal Veterinary College, Hawkshead Lane, North Mymms, Herts AL9 7TA, UK.
| | - Alun Williams
- Department of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge CB3 0ES, UK.
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14
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Alcolea D, Vilaplana E, Suárez-Calvet M, Illán-Gala I, Blesa R, Clarimón J, Lladó A, Sánchez-Valle R, Molinuevo JL, García-Ribas G, Compta Y, Martí MJ, Piñol-Ripoll G, Amer-Ferrer G, Noguera A, García-Martín A, Fortea J, Lleó A. CSF sAPPβ, YKL-40, and neurofilament light in frontotemporal lobar degeneration. Neurology 2017; 89:178-188. [DOI: 10.1212/wnl.0000000000004088] [Citation(s) in RCA: 87] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2016] [Accepted: 04/04/2017] [Indexed: 12/13/2022] Open
Abstract
Objective:To analyze the clinical utility of 3 CSF biomarkers and their structural imaging correlates in a large cohort of patients with different dementia and parkinsonian syndromes within the spectrum of frontotemporal lobar degeneration (FTLD).Methods:We analyzed 3 CSF biomarkers (YKL-40, soluble β fragment of amyloid precursor protein [sAPPβ], neurofilament light [NfL]) and core Alzheimer disease (AD) biomarkers (β-amyloid1-42, total tau, phosphorylated tau) in patients with FTLD-related clinical syndromes (n = 159): behavioral variant of frontotemporal dementia (n = 68), nonfluent (n = 23) and semantic (n = 19) variants of primary progressive aphasia, progressive supranuclear palsy (n = 28), and corticobasal syndrome (n = 21). We also included patients with AD (n = 72) and cognitively normal controls (CN; n = 76). We compared cross-sectional biomarker levels between groups, studied their correlation with cortical thickness, and evaluated their potential diagnostic utility.Results:Patients with FTLD-related syndromes had lower levels of sAPPβ than CN and patients with AD. The levels of sAPPβ showed a strong correlation with cortical structural changes in frontal and cingulate areas. NfL and YKL-40 levels were high in both the FTLD and AD groups compared to controls. In the receiver operating characteristic analysis, the sAPPβ/YKL-40 and NfL/sAPPβ ratios had areas under the curve of 0.91 and 0.96, respectively, distinguishing patients with FTLD from CN, and of 0.84 and 0.85, distinguishing patients with FTLD from patients with AD.Conclusions:The combination of sAPPβ with YKL-40 and with NfL in CSF could be useful to increase the certainty of the diagnosis of FTLD-related syndromes in clinical practice.Classification of evidence:This study provides Class III evidence that CSF levels of sAPPβ, YKL-40, and NfL are useful to identify patients with FTLD-related syndromes.
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15
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Somers C, Goossens J, Engelborghs S, Bjerke M. Selecting Aβ isoforms for an Alzheimer's disease cerebrospinal fluid biomarker panel. Biomark Med 2017; 11:169-178. [PMID: 28111962 DOI: 10.2217/bmm-2016-0276] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Although the core cerebrospinal fluid Alzheimer's disease (AD) biomarkers amyloid-β (Aβ1-42) and tau show a high diagnostic accuracy, there are still limitations due to overlap in the biomarker levels with other neurodegenerative and dementia disorders. During Aβ1-42 production and clearance in the brain, several other Aβ peptides and amyloid precursor protein fragments are formed that could potentially serve as biomarkers for this ongoing disease process. Therefore, this review will present the current status of the findings for amyloid precursor protein and Aβ peptide isoforms in AD and clinically related disorders. In conclusion, adding new Aβ isoforms to the AD biomarker panel may improve early differential diagnostic accuracy and increase the cerebrospinal fluid biomarker concordance with AD neuropathological findings in the brain.
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Affiliation(s)
- Charisse Somers
- Department of Biomedical Sciences, Reference Center for Biological Markers of Dementia (BIODEM), Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Joery Goossens
- Department of Biomedical Sciences, Reference Center for Biological Markers of Dementia (BIODEM), Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Sebastiaan Engelborghs
- Department of Biomedical Sciences, Reference Center for Biological Markers of Dementia (BIODEM), Institute Born-Bunge, University of Antwerp, Antwerp, Belgium.,Department of Neurology & Memory Clinic, Hospital Network Antwerp (ZNA) Middelheim & Hoge Beuken, Antwerp, Belgium
| | - Maria Bjerke
- Department of Biomedical Sciences, Reference Center for Biological Markers of Dementia (BIODEM), Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
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16
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Oeckl P, Steinacker P, Feneberg E, Otto M. Neurochemical biomarkers in the diagnosis of frontotemporal lobar degeneration: an update. J Neurochem 2016; 138 Suppl 1:184-92. [DOI: 10.1111/jnc.13669] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2016] [Revised: 05/09/2016] [Accepted: 05/11/2016] [Indexed: 12/11/2022]
Affiliation(s)
- Patrick Oeckl
- Department of Neurology; Ulm University Hospital; Ulm Germany
| | | | - Emily Feneberg
- Department of Neurology; Ulm University Hospital; Ulm Germany
| | - Markus Otto
- Department of Neurology; Ulm University Hospital; Ulm Germany
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17
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Mollenhauer B, Parnetti L, Rektorova I, Kramberger MG, Pikkarainen M, Schulz-Schaeffer WJ, Aarsland D, Svenningsson P, Farotti L, Verbeek MM, Schlossmacher MG. Biological confounders for the values of cerebrospinal fluid proteins in Parkinson's disease and related disorders. J Neurochem 2016; 139 Suppl 1:290-317. [DOI: 10.1111/jnc.13390] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2015] [Revised: 09/11/2015] [Accepted: 09/21/2015] [Indexed: 12/26/2022]
Affiliation(s)
- Brit Mollenhauer
- Paracelsus-Elena-Klinik; Kassel Germany
- University Medical Center (Department of Neuropathology); Georg-August University Goettingen; Goettingen Germany
| | - Lucilla Parnetti
- Centro Disturbi della Memoria- Unità Valutativa Alzheimer; Clinica Neurologica; Università di Perugia; Perugia Italy
| | - Irena Rektorova
- Applied Neuroscience Group; CEITEC MU; Masaryk University; Brno Czech Republic
| | - Milica G. Kramberger
- Department of Neurology; University Medical Center Ljubljana; Ljubljana Slovenia
- Division for Neurogeriatrics; Department of NVS; Karolinska Institutet; Center for Alzheimer Research; Stockholm Sweden
- Centre for Age-Related Medicine; Stavanger University Hospital; Stavanger Norway
| | - Maria Pikkarainen
- Institute of Clinical Medicine / Neurology; University of Eastern Finland; Kuopio Finland
| | - Walter J. Schulz-Schaeffer
- University Medical Center (Department of Neuropathology); Georg-August University Goettingen; Goettingen Germany
| | - Dag Aarsland
- Division for Neurogeriatrics; Department of NVS; Karolinska Institutet; Center for Alzheimer Research; Stockholm Sweden
- Centre for Age-Related Medicine; Stavanger University Hospital; Stavanger Norway
| | - Per Svenningsson
- Department for Clinical Neuroscience; Karolinska Institute; Stockholm Sweden
| | - Lucia Farotti
- Centro Disturbi della Memoria- Unità Valutativa Alzheimer; Clinica Neurologica; Università di Perugia; Perugia Italy
| | - Marcel M. Verbeek
- Department of Neurology; Department of Laboratory Medicine; Donders Institute for Brain, Cognition and Behaviour; Radboud University Medical Centre; Nijmegen The Netherlands
| | - Michael G. Schlossmacher
- Program in Neuroscience and Division of Neurology; The Ottawa Hospital; University of Ottawa Brain & Mind Research Institute; Ottawa Ontario Canada
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18
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Llorens F, Kruse N, Schmitz M, Shafiq M, da Cunha JEG, Gotzman N, Zafar S, Thune K, de Oliveira JRM, Mollenhauer B, Zerr I. Quantification of CSF biomarkers using an electrochemiluminescence-based detection system in the differential diagnosis of AD and sCJD. J Neurol 2015; 262:2305-11. [DOI: 10.1007/s00415-015-7837-x] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2015] [Revised: 06/24/2015] [Accepted: 06/24/2015] [Indexed: 01/26/2023]
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19
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Ewers M, Mattsson N, Minthon L, Molinuevo JL, Antonell A, Popp J, Jessen F, Herukka SK, Soininen H, Maetzler W, Leyhe T, Bürger K, Taniguchi M, Urakami K, Lista S, Dubois B, Blennow K, Hampel H. CSF biomarkers for the differential diagnosis of Alzheimer's disease: A large-scale international multicenter study. Alzheimers Dement 2015; 11:1306-15. [PMID: 25804998 DOI: 10.1016/j.jalz.2014.12.006] [Citation(s) in RCA: 91] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2013] [Revised: 12/02/2014] [Accepted: 12/05/2014] [Indexed: 12/16/2022]
Abstract
INTRODUCTION The aim of this study was to test the diagnostic value of cerebrospinal fluid (CSF) beta-amyloid (Aβ1-42), phosphorylated tau, and total tau (tau) to discriminate Alzheimer's disease (AD) dementia from other forms of dementia. METHODS A total of 675 CSF samples collected at eight memory clinics were obtained from healthy controls, AD dementia, subjective memory impairment, mild cognitive impairment, vascular dementia, Lewy body dementia (LBD), fronto-temporal dementia (FTD), depression, or other neurological diseases. RESULTS CSF Aβ1-42 showed the best diagnostic accuracy among the CSF biomarkers. At a sensitivity of 85%, the specificity to differentiate AD dementia against other diagnoses ranged from 42% (for LBD, 95% confidence interval or CI = 32-62) to 77% (for FTD, 95% CI = 62-90). DISCUSSION CSF Aβ1-42 discriminates AD dementia from FTD, but shows significant overlap with other non-AD forms of dementia, possibly reflecting the underlying mixed pathologies.
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Affiliation(s)
- Michael Ewers
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilian-University, Munich, Bayern, Germany.
| | - Niklas Mattsson
- Department of Radiology, University of California San Francisco, San Francisco, CA, USA; Institute of Neuroscience & Physiology, Department of Psychiatry & Neurochemistry, The Sahlgrenska Academy at University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Lennart Minthon
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden; Neuropsychiatric Clinic, Malmö University Hospital, Malmö, Sweden
| | - José L Molinuevo
- Alzheimer's disease and other cognitive disorders unit, Neurology Service, ICN Hospital Clinic i Universitari and Pasqual Maragall Foundation, Barcelona, Spain
| | - Anna Antonell
- Alzheimer's disease and other cognitive disorders unit, Neurology Service, ICN Hospital Clinic i Universitari and Pasqual Maragall Foundation, Barcelona, Spain
| | - Julius Popp
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Nordrhein-Westfalen, Germany; Department of Psychiatry, University Hospital of Lausanne, Lausanne, Waadt, Switzerland
| | - Frank Jessen
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Nordrhein-Westfalen, Germany
| | - Sanna-Kaisa Herukka
- Department of Neurology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Hilka Soininen
- Department of Neurology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Walter Maetzler
- Hertie Institute for Clinical Brain Research, Department of Neurodegeneration, Center of Neurology, University of Tuebingen, Tuebingen, Germany; DZNE, German Center for Neurodegenerative Diseases, Tuebingen, Germany
| | - Thomas Leyhe
- Department of Psychiatry and Psychotherapy, University Hospital, Tübingen, Germany
| | - Katharina Bürger
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilian-University, Munich, Bayern, Germany
| | - Miyako Taniguchi
- Center of Old Age Psychiatry, Psychiatric University Hospital, Basel, Switzerland
| | - Katsuya Urakami
- Department of Biological Regulation, School of Health Science, Tottori University Faculty of Medicine, Yonago, Japan
| | - Simone Lista
- AXA Research Fund & UPMC Chair, Paris, France; Sorbonne Universités, Université Pierre et Marie Curie, Paris 06, Institut de la Mémoire et de la Maladie d'Alzheimer & Institut du Cerveau et de la Moelle épinière (ICM), Département de Neurologie, Hôpital de la Pitié-Salpétrière, Paris, France
| | - Bruno Dubois
- Sorbonne Universités, Université Pierre et Marie Curie, Paris 06, Institut de la Mémoire et de la Maladie d'Alzheimer & Institut du Cerveau et de la Moelle épinière (ICM), Département de Neurologie, Hôpital de la Pitié-Salpétrière, Paris, France
| | - Kaj Blennow
- Institute of Neuroscience & Physiology, Department of Psychiatry & Neurochemistry, The Sahlgrenska Academy at University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Harald Hampel
- AXA Research Fund & UPMC Chair, Paris, France; Sorbonne Universités, Université Pierre et Marie Curie, Paris 06, Institut de la Mémoire et de la Maladie d'Alzheimer & Institut du Cerveau et de la Moelle épinière (ICM), Département de Neurologie, Hôpital de la Pitié-Salpétrière, Paris, France
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20
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Mollenhauer B, Rochester L, Chen-Plotkin A, Brooks D. What can biomarkers tell us about cognition in Parkinson's disease? Mov Disord 2014; 29:622-33. [PMID: 24757111 DOI: 10.1002/mds.25846] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2013] [Revised: 01/23/2014] [Accepted: 01/27/2014] [Indexed: 01/13/2023] Open
Abstract
Cognitive decline is common in Parkinson's disease (PD), even in the early motor stage, and this non-motor feature impacts quality of life and prognosis tremendously. In this article, we discuss marker candidates for cognitive decline in PD from different angles, including functional and structural imaging techniques, biological fluid markers in cerebrospinal fluid, and blood genetic predictors, as well as gait as a surrogate marker of cognitive decline. Specifically, imaging-based markers of cognitive impairment in PD include cortical atrophy, reduced cortical metabolism, loss of cortical cholinergic and frontal dopaminergic function, as well as an increased cortical amyloid load. Reduced β-amyloid(1-42) in cerebrospinal fluid and lower plasma levels of epidermal growth factor are predictors for cognitive decline in PD. In addition, genetic variation in the apolipoprotein E (APOE), catechol-O-methyltransferase (COMT), microtubule-associated protein tau (MAPT), and glucocerebrosidase (GBA) genes may confer risk for cognitive impairment in PD; and gait disturbance may also indicate an increased risk for dementia. Other marker candidates have been proposed and are discussed. All of the current studies are hampered by gaps in our knowledge about the molecular causes of cognitive decline, which will have to be considered in future biomarker studies.
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Affiliation(s)
- Brit Mollenhauer
- Paracelsus-Elena-Klinik, Kassel and University Medical Center, Göttingen, Germany
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21
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Oeckl P, Steinacker P, Feneberg E, Otto M. Cerebrospinal fluid proteomics and protein biomarkers in frontotemporal lobar degeneration: Current status and future perspectives. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2014; 1854:757-68. [PMID: 25526887 DOI: 10.1016/j.bbapap.2014.12.010] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2014] [Revised: 11/18/2014] [Accepted: 12/11/2014] [Indexed: 12/13/2022]
Abstract
Frontotemporal lobar degeneration (FTLD) comprises a spectrum of rare neurodegenerative diseases with an estimated prevalence of 15-22 cases per 100,000 persons including the behavioral variant of frontotemporal dementia (bvFTD), progressive non-fluent aphasia (PNFA), semantic dementia (SD), FTD with motor neuron disease (FTD-MND), progressive supranuclear palsy (PSP) and corticobasal syndrome (CBS). The pathogenesis of the diseases is still unclear and clinical diagnosis of FTLD is hampered by overlapping symptoms within the FTLD subtypes and with other neurodegenerative diseases such as Alzheimer's disease (AD) and Parkinson's disease (PD). Intracellular protein aggregates in the brain are a major hallmark of FTLD and implicate alterations in protein metabolism or function in the disease's pathogenesis. Cerebrospinal fluid (CSF) which surrounds the brain can be used to study changes in neurodegenerative diseases and to identify disease-related mechanisms or neurochemical biomarkers for diagnosis. In the present review, we will give an overview of the current literature on proteomic studies in CSF of FTLD patients. Reports of targeted and unbiased proteomic approaches are included and the results are discussed in regard of their informative value about disease pathology and the suitability to be used as diagnostic biomarkers. Finally, we will give some future perspectives on CSF proteomics and a list of candidate biomarkers which might be interesting for validation in further studies. This article is part of a Special Issue entitled: Neuroproteomics: Applications in neuroscience and neurology.
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Affiliation(s)
- Patrick Oeckl
- Department of Neurology, Ulm University Hospital, Oberer Eselsberg 45, 89081 Ulm, Germany.
| | - Petra Steinacker
- Department of Neurology, Ulm University Hospital, Oberer Eselsberg 45, 89081 Ulm, Germany.
| | - Emily Feneberg
- Department of Neurology, Ulm University Hospital, Oberer Eselsberg 45, 89081 Ulm, Germany.
| | - Markus Otto
- Department of Neurology, Ulm University Hospital, Oberer Eselsberg 45, 89081 Ulm, Germany.
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Ahmed RM, Paterson RW, Warren JD, Zetterberg H, O'Brien JT, Fox NC, Halliday GM, Schott JM. Biomarkers in dementia: clinical utility and new directions. J Neurol Neurosurg Psychiatry 2014; 85:1426-34. [PMID: 25261571 PMCID: PMC4335455 DOI: 10.1136/jnnp-2014-307662] [Citation(s) in RCA: 89] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2014] [Revised: 08/27/2014] [Accepted: 09/03/2014] [Indexed: 12/12/2022]
Abstract
Imaging, cerebrospinal fluid (CSF) and blood-based biomarkers have the potential to improve the accuracy by which specific causes of dementia can be diagnosed in vivo, provide insights into the underlying pathophysiology, and may be used as inclusion criteria and outcome measures for clinical trials. While a number of imaging and CSF biomarkers are currently used for each of these purposes, this is an evolving field, with numerous potential biomarkers in varying stages of research and development. We review the currently available biomarkers for the three most common forms of neurodegenerative dementia, and give an overview of research techniques that may in due course make their way into the clinic.
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Affiliation(s)
- R M Ahmed
- Neuroscience Research Australia and the University of NSW, Sydney, New South Wales, Australia
| | - R W Paterson
- Dementia Research Centre, University College London Institute of Neurology, National Hospital for Neurology and Neurosurgery, London, UK
| | - J D Warren
- Dementia Research Centre, University College London Institute of Neurology, National Hospital for Neurology and Neurosurgery, London, UK
| | - H Zetterberg
- Department of Molecular Neuroscience, University College London Institute of Neurology, National Hospital for Neurology and Neurosurgery, London, UK
- Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Institute of Neuroscience and Physiology, Mölndal, Sweden
| | - J T O'Brien
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - N C Fox
- Dementia Research Centre, University College London Institute of Neurology, National Hospital for Neurology and Neurosurgery, London, UK
| | - G M Halliday
- Neuroscience Research Australia and the University of NSW, Sydney, New South Wales, Australia
| | - J M Schott
- Dementia Research Centre, University College London Institute of Neurology, National Hospital for Neurology and Neurosurgery, London, UK
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Schade S, Mollenhauer B. Biomarkers in biological fluids for dementia with Lewy bodies. ALZHEIMERS RESEARCH & THERAPY 2014; 6:72. [PMID: 25478030 PMCID: PMC4255553 DOI: 10.1186/s13195-014-0072-3] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Dementia with Lewy bodies (DLB) has become the second most common neurodegenerative dementia due to demographic ageing. Differential diagnosis is still troublesome especially in early stages of the disease, since there is a great clinical and neuropathological overlap primarily with Alzheimer's disease and Parkinson's disease. Therefore, more specific biomarkers, not only for scientific reasons but also for clinical therapeutic decision-making, are urgently needed. In this review, we summarize the knowledge on fluid biomarkers for DLB, derived predominantly from cerebrospinal fluid. We discuss the value of well-defined markers (β-amyloid, (phosphorylated) tau, α-synuclein) as well as some promising 'upcoming' substances, which still have to be further evaluated.
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Affiliation(s)
- Sebastian Schade
- Paracelsus-Elena-Klinik, Klinikstraße 16, Kassel, D-34128, Germany ; Department of Clinical Neurophysiology, University Medical Center, Georg-August University, Robert-Koch Straße 40, Göttingen, 37075, Germany
| | - Brit Mollenhauer
- Paracelsus-Elena-Klinik, Klinikstraße 16, Kassel, D-34128, Germany ; Department of Neurosurgery, University Medical Center, Georg-August University, Robert-Koch Straße 40, Göttingen, 37075, Germany ; Department of Neuropathology, University Medical Center, Georg-August University, Robert-Koch Straße 40, Göttingen, 37075, Germany
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Sarasa L, Allué JA, Pesini P, González-Martínez Á, Sarasa M. Identification of β-amyloid species in canine cerebrospinal fluid by mass spectrometry. Neurobiol Aging 2013; 34:2125-32. [DOI: 10.1016/j.neurobiolaging.2013.03.009] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2012] [Revised: 02/12/2013] [Accepted: 03/11/2013] [Indexed: 01/20/2023]
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Bibl M, Esselmann H, Wiltfang J. Neurochemical biomarkers in Alzheimer's disease and related disorders. Ther Adv Neurol Disord 2012; 5:335-48. [PMID: 23139704 PMCID: PMC3487531 DOI: 10.1177/1756285612455367] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
Neurochemical biomarkers for diagnosing dementias are currently under intensive investigation and the field is rapidly expanding. The main protagonists and the best defined among them are cerebrospinal fluid levels of Aβ42, tau and its phosphorylated forms (p-tau). In addition, novel cerebrospinal fluid biomarkers are emerging and their multiparametric assessment seems most promising for increasing the accuracy in neurochemical dementia diagnostics. The combined assessment of Aβ42 and p-tau has recently shown value for diagnosing prodromal states of Alzheimer's dementia, that is, mild cognitive impairment. Disease-specific biomarkers for other degenerative dementias are still missing, but some progress has recently been made. As lumbar puncture is an additional burden for the patient, blood-based neurochemical biomarkers are definitely warranted and promising new discoveries have been made in this direction. These diagnostic developments have implicit therapeutic consequences and give rise to new requirements for future neurochemical dementia diagnostics.
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Affiliation(s)
- Mirko Bibl
- Department of Psychiatry, Psychotherapy and Addiction Medicine, Kliniken Essen-Mitte; University of Duisburg-Essen, Essen, Germany
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Mao P. Oxidative Stress and Its Clinical Applications in Dementia. JOURNAL OF NEURODEGENERATIVE DISEASES 2012; 2013:319898. [PMID: 26316986 PMCID: PMC4437276 DOI: 10.1155/2013/319898] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/05/2012] [Accepted: 07/16/2012] [Indexed: 02/08/2023]
Abstract
Dementia is a complex disorder that mostly affects the elderly and represents a significant and growing public health burden in the world. Alzheimer's disease (AD)- associated dementia and dementia with Lewy bodies (DLB) are the most common forms of dementia, in which oxidative stress is significantly involved. Oxidative stress mechanisms may have clinical applications, that is, providing information for potential biomarkers. Thus brain-rich peptides with an antioxidant property, such as CART (cocaine- and amphetamine-regulated transcript), may be promising new markers. This paper summarizes the progress in research regarding oxidative stress in dementia with a focus on potential biomarkers in the cerebrospinal fluid (CSF) in the main forms of dementia. Other central and peripheral biomarkers, especially those considered oxidative stress related, are also discussed. This paper aims to provide information to improve current understanding of the pathogenesis and progression of dementia. It also offers insight into the differential diagnosis of AD and DLB.
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Affiliation(s)
- Peizhong Mao
- The Division of Neuroscience, Oregon National Primate Research Center, Oregon Health & Science University, 505 NW 185th Avenue, Beaverton, OR 97006, USA
- The Departments of Physiology and Pharmacology, Public Health and Preventive Medicine, Oregon Health & Science University, Portland, OR 97239, USA
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Bibl M, Gallus M, Welge V, Lehmann S, Sparbier K, Esselmann H, Wiltfang J. Characterization of cerebrospinal fluid aminoterminally truncated and oxidized amyloid-β peptides. Proteomics Clin Appl 2012; 6:163-9. [PMID: 22532452 DOI: 10.1002/prca.201100082] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
PURPOSE Carboxyterminally elongated and aminoterminally truncated Aβ peptides as well as their pyroglutamate and oxidized derivates are major constituents of human amyloid plaques. The objective of the present study was to characterize aminoterminally truncated or oxidized Aβ38, Aβ40, and Aβ42 peptide species in immunoprecipitated human cerebrospinal fluid (CSF). EXPERIMENTAL DESIGN We invented a novel sequential aminoterminally and carboxyterminally specific immunoprecipitation protocol and used the Aβ-SDS-PAGE/immunoblot for subsequent analysis of CSF Aβ peptide patterns. RESULTS In the present study, we identified the aminoterminally truncated Aβ peptides 2-40 and 2-42 as well as oxidized forms of Aβ1-38 and Aβ1-42 in CSF. Our protocol allowed the quantification of a pattern of Aβ peptides 1-38(ox), 2-40, and 2-42 in addition to the well known panel of Aβ 1-37, 1-38, 1-39, 1-40, 1-40(ox), and 1-42 in a group of seven patients with peripheral polyneuropathy. CONCLUSIONS AND CLINICAL RELEVANCE In the present approach, we could broaden the range of quantifiable Aβ peptides described in previous studies (i.e., 1-37, 1-38, 1-39, 1-40, 1-40(ox), and 1-42) by Aβ 1-38(ox), 2-40, and 2-42. An exact analysis of CSF Aβ peptides regarding their carboxy- and aminoterminus as well as posttranslational modification seems promising with respect to diagnostic and pathogenic aspects.
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Affiliation(s)
- Mirko Bibl
- Department of Psychiatry, Psychotherapy and Addiction Medicine, Kliniken Essen-Mitte, University of Duisburg-Essen, Essen, Germany.
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Sinha N, Firbank M, O'Brien JT. Biomarkers in dementia with Lewy bodies: a review. Int J Geriatr Psychiatry 2012; 27:443-53. [PMID: 21721045 DOI: 10.1002/gps.2749] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2011] [Accepted: 05/02/2011] [Indexed: 12/21/2022]
Abstract
BACKGROUND Dementia with Lewy bodies (DLB) shares common clinical, neuropsychological and pathological features with other dementia subtypes, such as Alzheimer's disease (AD), making it difficult to differentiate in clinical practice. Despite the development of consensus diagnostic criteria, many cases are missed, and biomarkers to assist with diagnosis would represent important advances. Our aim was to review the literature to identify potential biomarkers that may distinguish DLB from other dementia subtypes, especially AD. METHOD The literature search was performed using Medline up to October 2010 for imaging studies [single-photon emission computed tomography (SPECT), positron emission tomography (PET), magnetic resonance imaging (MRI) and amyloid imaging] and cerebrospinal fluid (CSF) markers in DLB. Individual articles were examined for additional references. The abstracts of the identified articles were read to determine the most relevant papers, which became the basis for this review. RESULTS The most robust evidence available was for striatal dopamine transporter activity visualised by (123) I-labelled N-(3-fluoropropyl)-2β-carbomethoxy-3β-(4-iodophenyl)nortropane ((123) I-FP-CIT) SPECT. Several other imaging techniques have also reported promising results, such as [(18) F]fluorodopa PET, which assesses nigrostriatal integrity; [(18) F]fluorodeoxyglucose PET, which assesses metabolic deficits; and meta-iodobenzylguanidine imaging, which assesses sympathetic cardiac denervation. Data from studies using CSF measures of amyloid and tau, occipital hypoperfusion on SPECT and preservation of medial temporal lobe structures on MRI suggest that they may offer less diagnostic discrimination. CONCLUSION Several potential biomarkers have shown good diagnostic accuracy for DLB, but apart from FP-CIT SPECT, there is now a need for larger clinical multi-site studies, as well as for studies with pathological verification of diagnosis, before their use could be recommended for routine clinical practice.
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Affiliation(s)
- Namrta Sinha
- Institute for Ageing and Health, Newcastle University, Wolfson Research Centre, Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK.
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Prabhulkar S, Piatyszek R, Cirrito JR, Wu ZZ, Li CZ. Microbiosensor for Alzheimer's disease diagnostics: detection of amyloid beta biomarkers. J Neurochem 2012; 122:374-81. [PMID: 22372824 DOI: 10.1111/j.1471-4159.2012.07709.x] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Alzheimer's disease (AD) affects about 35.6 million people worldwide, and if current trends continue with no medical advancement, one in 85 people will be affected by 2050. Thus, there is an urgent need to develop a cost-effective, easy to use, sensor platform to diagnose and study AD. The measurement of peptide amyloid beta (Aβ) found in CSF has been assessed as an avenue to diagnose and study the disease. The quantification of the ratio of Aβ1-40/42 (or Aβ ratio) has been established as a reliable test to diagnose AD through human clinical trials. Therefore, we have developed a multiplexed, implantable immunosensor to detect amyloid beta (Aβ) isoforms using triple barrel carbon fiber microelectrodes as the sensor platform. Antibodies act as the biorecognition element of the sensor and selectively capture and bind Aβ1-40 and Aβ1-42 to the electrode surface. Electrochemistry was used to measure the intrinsic oxidation signal of Aβ at 0.65 V (vs. Ag/AgCl), originating from a single tyrosine residue found at position 10 in its amino acid sequence. Using the proposed immunosensor Aβ1-40 and Aβ1-42 could be specifically detected in CSF from mice within a detection range of 20-50 nM and 20-140 nM respectively. The immunosensor enables real-time, highly sensitive detection of Aβ and opens up the possibilities for diagnostic ex vivo applications and research-based in vivo studies.
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Affiliation(s)
- Shradha Prabhulkar
- Nanobioengineering/Bioelectronics Laboratory, Department of Biomedical Engineering, Florida International University, Miami, Florida, USA
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Bibl M, Gallus M, Welge V, Esselmann H, Wolf S, Rüther E, Wiltfang J. Cerebrospinal fluid amyloid-β 2-42 is decreased in Alzheimer's, but not in frontotemporal dementia. J Neural Transm (Vienna) 2012; 119:805-13. [PMID: 22527776 PMCID: PMC3605494 DOI: 10.1007/s00702-012-0801-3] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2012] [Accepted: 03/22/2012] [Indexed: 01/09/2023]
Abstract
Alzheimer’s dementia (AD) and frontotemporal dementias (FTD) are common and their clinical differential diagnosis may be complicated by overlapping symptoms, which is why biomarkers may have an important role to play. Cerebrospinal fluids (CSF) Aβ2-42 and 1-42 have been shown to be similarly decreased in AD, but 1-42 did not display sufficient specificity for exclusion of other dementias from AD. The objective of the present study was to clarify the diagnostic value of Aβ2-42 peptides for the differential diagnosis of AD from FTD. For this purpose, 20 non-demented disease controls (NDC), 22 patients with AD and 17 with FTD were comparatively analysed by a novel sequential aminoterminally and carboxyterminally specific immunoprecipitation protocol with subsequent Aβ-SDS-PAGE/immunoblot, allowing the quantification of peptides 1-38ox, 2-40 and 2-42 along with Aβ 1-37, 1-38, 1-39, 1-40, 1-40ox and 1-42. CSF Aβ1-42 was decreased in AD as compared to NDC, but not to FTD. In a subgroup of the patients analyzed, the decrease of Abeta2-42 in AD was evident as compared to both NDC and FTD. Aβ1-38 was decreased in FTD as compared to NDC and AD. For differentiating AD from FTD, Aβ1-42 demonstrated sufficient diagnostic accuracies only when combined with Aβ1-38. Aβ2-42 yielded diagnostic accuracies of over 85 % as a single marker. These accuracy figures could be improved by combining Aβ2-42 to Aβ1-38. Aβ2-42 seems to be a promising biomarker for differentiating AD from other degenerative dementias, such as FTD.
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Affiliation(s)
- Mirko Bibl
- Department of Psychiatry, University of Goettingen, von-Siebold-Str. 5, 37075, Goettingen, Germany.
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Abstract
The incidence of dementia increases steeply with age in older people, although from the tenth decade the slope may be smoother, perhaps reflecting different pathological processes in the oldest old. The prevalence depends upon interaction of age with other factors (e.g., comorbidities, genetic or environmental factors) that in turn are subject to change. If onset of dementia could be postponed by modulating its risk factors, this could significantly affect its incidence. Analysis of risk and protection factors should take into account the critical period during which these factors play a role. For example, the impact of education and diabetes mellitus occurs in early- and midlife, respectively, while maintaining optimal physical and mental activity and controlling vascular factors later in life may slow the rate of cognitive decline. Modifying factors need to be evaluated for different clinical groups, taking into account genetic background, age, and duration at exposure. The aim of the present article is to try to take stock of epidemiological data concerning factors affecting the prevalence of dementia and predict future developments, as well as to look for possible interventions that could affect outcome.
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Affiliation(s)
- T A Treves
- Memory Disorders Clinic, Rabin Medical Center, Petach Tikva, Israel
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Mao P. Recent progress and concerns in dementia: Distinguishing Alzheimer's disease and dementia with Lewy bodies via biochemical markers in the cerebrospinal fluid. ACTA ACUST UNITED AC 2012. [DOI: 10.4236/abc.2012.22022] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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Schipke CG, Prokop S, Heppner FL, Heuser I, Peters O. Comparison of immunosorbent assays for the quantification of biomarkers for Alzheimer's disease in human cerebrospinal fluid. Dement Geriatr Cogn Disord 2011; 31:139-45. [PMID: 21304219 DOI: 10.1159/000322588] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/02/2010] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND The clinical diagnosis of Alzheimer's disease in early stages may be substantiated by the quantification of the biomarkers Abeta42, Abeta40 and total-Tau (t-Tau) in cerebrospinal fluid (CSF). Different commercially available immunosorbent assays yield reliable results, yet the absolute values obtained may differ in between tests. METHODS We used CSF samples from patients that reported to our memory clinic. Enzyme-linked immunosorbent assays obtained from Innogenetics were used for the quantification of Abeta42 and t-Tau, test kits from IBL International were used to determine Abeta42 and Abeta40 concentrations. The multiplex assay system obtained from Mesoscale Discovery (MSD) Systems was used for the quantification of all three biomarkers. RESULTS For all biomarkers, the absolute values obtained with different test systems differ. However, the data sets highly correlate for all comparisons, with the MSD test system proving to be slightly more sensitive. Correlation coefficients (c) for the Abeta42 and Abeta40 quantifications lie between c = 0.80 and c = 0.87, and for the t-Tau quantifications we determined c = 0.99. CONCLUSION We conclude that all assays evaluated give reliable results, yet absolute values obtained have to be assessed differently within the framework of diagnostic procedures, depending on the system used.
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Affiliation(s)
- C G Schipke
- Department of Psychiatry and Psychotherapy, Campus Benjamin Franklin, Charité-Universitätsmedizin Berlin, Berlin, Germany.
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Abstract
The discovery of electrochemiluminescence (ECL) and its development as a means of detection is truly a success story. Although studies describing ECL were published in the early 1960s, most studies using ECL as a means of detection were not widely published until the mid 1990s. Incorporating ECL into assays provides increased sensitivity, several logs of dynamic range and the ability to electronically control the reaction. These characteristics provide advantages over assays that rely on radioisotopic labels, fluorescence and enzymatic activity. There have been many areas of science that have benefited from the use of ECL, including environmental microbiology, virology, neurobiology, molecular biology and immunology. ECL has improved the understanding and treatment of infectious diseases, cancer, neurodegenerative diseases and even sleep apnea disorders. Drug development has also benefited from ECL via improved assessment of pharmacodynamics, pharmacokinetics and determining immune responses against protein-based therapeutics. This review provides an overview of ECL chemistry and principles with a more detailed emphasis on the applications of ECL-based assays in different areas of science and medicine. The primary purpose of this review is to provide an in-depth discussion of the impact that ECL-based analysis has had on microbiology, immunology, virology, neurodegenerative diseases, molecular biology and drug development. Examples of ECL-based bioanalysis in each of these fields are discussed in conjunction with an overview of ECL principles and instrumentation.
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Shi M, Bradner J, Hancock AM, Chung KA, Quinn JF, Peskind ER, Galasko D, Jankovic J, Zabetian CP, Kim HM, Leverenz JB, Montine TJ, Ginghina C, Kang UJ, Cain KC, Wang Y, Aasly J, Goldstein DS, Zhang J. Cerebrospinal fluid biomarkers for Parkinson disease diagnosis and progression. Ann Neurol 2011; 69:570-80. [PMID: 21400565 PMCID: PMC3117674 DOI: 10.1002/ana.22311] [Citation(s) in RCA: 317] [Impact Index Per Article: 24.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2010] [Revised: 10/06/2010] [Accepted: 10/15/2010] [Indexed: 12/22/2022]
Abstract
OBJECTIVE There is a clear need to develop biomarkers for Parkinson disease (PD) diagnosis, differential diagnosis of Parkinsonian disorders, and monitoring disease progression. We and others have demonstrated that a decrease in DJ-1 and/or α-synuclein in the cerebrospinal fluid (CSF) is a potential index for Parkinson disease diagnosis, but not for PD severity. METHODS Using highly sensitive and quantitative Luminex assays, we measured total tau, phosphorylated tau, amyloid beta peptide 1-42 (Aβ(1-42)), Flt3 ligand, and fractalkine levels in CSF in a large cohort of PD patients at different stages as well as healthy and diseased controls. The utility of these 5 markers was evaluated for disease diagnosis and severity/progression correlation alone, as well as in combination with DJ-1 and α-synuclein. The major results were further validated in an independent cohort of cross-sectional PD patients as well as in PD cases with CSF samples collected longitudinally. RESULTS The results demonstrated that combinations of these biomarkers could differentiate PD patients not only from normal controls but also from patients with Alzheimer disease (AD) and multiple system atrophy. Particularly, with CSF Flt3 ligand, PD could be clearly differentiated from multiple system atrophy, a disease that overlaps with PD clinically, with excellent sensitivity (99%) and specificity (95%). In addition, we identified CSF fractalkine/Aβ(1-42) that positively correlated with PD severity in cross-sectional samples as well as with PD progression in longitudinal samples. INTERPRETATION We have demonstrated that this panel of 7 CSF proteins could aid in Parkinson disease diagnosis, differential diagnosis, and correlation with disease severity and progression.
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Affiliation(s)
- Min Shi
- Department of Pathology, University of Washington School of Medicine, Seattle, WA, USA
| | - Joshua Bradner
- Department of Pathology, University of Washington School of Medicine, Seattle, WA, USA
| | - Aneeka M. Hancock
- Department of Pathology, University of Washington School of Medicine, Seattle, WA, USA
| | - Kathryn A. Chung
- Department of Neurology, Oregon Health and Science University, Portland, OR, USA
| | - Joseph F. Quinn
- Department of Neurology, Oregon Health and Science University, Portland, OR, USA
| | - Elaine R. Peskind
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Mental Illness Research, Education, and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, WA, USA
| | - Douglas Galasko
- Department of Neurosciences, University of California at San Diego, San Diego, CA, USA
| | - Joseph Jankovic
- Parkinson’s Disease Center and Movement Disorders Clinic, Department of Neurology, Baylor College of Medicine, Houston, TX, USA
| | - Cyrus P. Zabetian
- Geriatric Research, Education, and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, WA, USA
- Department of Neurology, University of Washington School of Medicine, Seattle, WA, USA
| | - Hojoong M. Kim
- Geriatric Research, Education, and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, WA, USA
- Department of Neurology, University of Washington School of Medicine, Seattle, WA, USA
| | - James B. Leverenz
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Mental Illness Research, Education, and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, WA, USA
- Department of Neurology, University of Washington School of Medicine, Seattle, WA, USA
| | - Thomas J. Montine
- Department of Pathology, University of Washington School of Medicine, Seattle, WA, USA
| | - Carmen Ginghina
- Department of Pathology, University of Washington School of Medicine, Seattle, WA, USA
| | - Un Jung Kang
- Department of Neurology, University of Chicago, Chicago, IL, USA
| | - Kevin C. Cain
- Department of Biostatistics, University of Washington School of Medicine, Seattle, WA, USA
| | - Yu Wang
- Department of Pathology, University of Washington School of Medicine, Seattle, WA, USA
- Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jan Aasly
- Department of Neurology, St. Olavs Hospital, Trondheim, Norway
| | - David S. Goldstein
- Clinical Neurocardiology Section, CNP, DIR, NINDS, NIH, Bethesda, MD, USA
| | - Jing Zhang
- Department of Pathology, University of Washington School of Medicine, Seattle, WA, USA
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Verpillot R, Esselmann H, Mohamadi MR, Klafki H, Poirier F, Lehnert S, Otto M, Wiltfang J, Jean-Louis V, Taverna M. Analysis of Amyloid-β Peptides in Cerebrospinal Fluid Samples by Capillary Electrophoresis Coupled with LIF Detection. Anal Chem 2011; 83:1696-703. [DOI: 10.1021/ac102828f] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Romain Verpillot
- Univ. Paris-Sud, UMR-CNRS 8612, Laboratory of Proteins and Nanotechnologies in Separation Sciences, 92296, Faculté de Pharmacie, Châtenay-Malabry, France
| | - Hermann Esselmann
- LVR-Hospital, Essen Department of Psychiatry and Psychotherapy, University of Duisburg-Essen, Virchowstrasse 174, D-45147 Essen, Germany
| | | | - Hans Klafki
- LVR-Hospital, Essen Department of Psychiatry and Psychotherapy, University of Duisburg-Essen, Virchowstrasse 174, D-45147 Essen, Germany
| | - Florence Poirier
- Proteomic Platform of IPSIT, Faculté de Pharmacie, Châtenay-Malabry, France
| | - Stefan Lehnert
- University of Ulm, Department of Neurology, Steinhövelstr. 1, 89075 Ulm, Germany
| | - Markus Otto
- University of Ulm, Department of Neurology, Steinhövelstr. 1, 89075 Ulm, Germany
| | - Jens Wiltfang
- LVR-Hospital, Essen Department of Psychiatry and Psychotherapy, University of Duisburg-Essen, Virchowstrasse 174, D-45147 Essen, Germany
| | - Viovy Jean-Louis
- UMR 168, Institute Curie/CNRS/Université Pierre et Marie Curie, Paris, France
| | - Myriam Taverna
- Univ. Paris-Sud, UMR-CNRS 8612, Laboratory of Proteins and Nanotechnologies in Separation Sciences, 92296, Faculté de Pharmacie, Châtenay-Malabry, France
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Oh ES, Mielke MM, Rosenberg PB, Jain A, Fedarko NS, Lyketsos CG, Mehta PD. Comparison of conventional ELISA with electrochemiluminescence technology for detection of amyloid-β in plasma. J Alzheimers Dis 2011; 21:769-73. [PMID: 20634583 DOI: 10.3233/jad-2010-100456] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Plasma amyloid-β (Aβ) level could be useful as a non-invasive biomarker in Alzheimer's disease research. We compared a multiplex electrochemiluminescence detection method with a well established ELISA method for plasma Aβ quantification. Compared to the ELISA method, the electrochemiluminescence detection method demonstrates a statistically significant, but modest correlation. The reasons for this may include the differences in the affinities of antibodies, and purity and source of Aβ peptides used as standards. However, the advantages of electrochemiluminescence detection technology include short processing time and small sample volume. This comparison demonstrates the need for a further study in optimizing this system.
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Affiliation(s)
- Esther S Oh
- Department of Medicine, Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, MD 21224, USA.
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Abstract
Cognitive impairment, including dementia, is commonly seen in those afflicted with Parkinson disease (PD), particularly at advanced disease stages. Pathologically, PD with dementia (PD-D) is most often associated with the presence of cortical Lewy bodies, as is the closely related dementia with Lewy bodies (DLB). Both PD-D and DLB are also frequently complicated by the presence of neurofibrillary tangles and amyloid plaques, features most often attributed to Alzheimer disease. Biomarkers are urgently needed to differentiate among these disease processes and predict dementia in PD as well as monitor responses of patients to new therapies. A few clinical assessments, along with structural and functional neuroimaging, have been utilized in the last few years with some success in this area. Additionally, a number of other strategies have been employed to identify biochemical/molecular biomarkers associated with cognitive impairment and dementia in PD, e.g. targeted analysis of candidate proteins known to be important to PD pathogenesis and progression in cerebrospinal fluid or blood. Finally, interesting results are emerging from preliminary studies with unbiased and high throughput genomic, proteomic and metabolomic techniques. The current findings and perspectives of applying these strategies and techniques are reviewed in this article, together with potential areas of advancement.
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Affiliation(s)
- Min Shi
- Department of Pathology, University of Washington School of Medicine, Seattle, WA 98104, USA
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39
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Spitzer P, Klafki HW, Blennow K, Buée L, Esselmann H, Herruka SK, Jimenez C, Klivenyi P, Lewczuk P, Maler JM, Markus K, Meyer HE, Morris C, Müller T, Otto M, Parnetti L, Soininen H, Schraen S, Teunissen C, Vecsei L, Zetterberg H, Wiltfang J. cNEUPRO: Novel Biomarkers for Neurodegenerative Diseases. Int J Alzheimers Dis 2010; 2010. [PMID: 20886057 PMCID: PMC2945639 DOI: 10.4061/2010/548145] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2010] [Accepted: 07/05/2010] [Indexed: 12/04/2022] Open
Abstract
“clinical NEUroPROteomics of neurodegenerative diseases” (cNEUPRO) is a Specific Targeted Research Project (STREP) within the sixth framework program of the European Commission dedicated to the search for novel biomarker candidates for Alzheimer's disease and other neurodegenerative diseases. The ultimate goal of cNEUPRO is to identify one or more valid biomarker(s) in blood and CSF applicable to support the early and differential diagnosis of dementia disorders. The consortium covers all steps required for the discovery of novel biomarker candidates such as acquisition of high quality CSF and blood samples from relevant patient groups and controls, analysis of body fluids by various methods, and finally assay development and assay validation. Here we report the standardized procedures for diagnosis and preanalytical sample-handling within the project, as well as the status of the ongoing research activities and some first results.
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Affiliation(s)
- Philipp Spitzer
- Laboratory for Molecular Neurobiology, Department of Psychiatry and Psychotherapy, University of Duisburg-Essen, LVR-Klinikum Essen, Virchowstraße 174, 45147 Essen, Germany
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40
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Bibl M, Esselmann H, Lewczuk P, Trenkwalder C, Otto M, Kornhuber J, Wiltfang J, Mollenhauer B. Combined Analysis of CSF Tau, Aβ42, Aβ1-42% and Aβ1-40% in Alzheimer's Disease, Dementia with Lewy Bodies and Parkinson's Disease Dementia. Int J Alzheimers Dis 2010; 2010:761571. [PMID: 20862375 PMCID: PMC2938459 DOI: 10.4061/2010/761571] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2010] [Revised: 07/08/2010] [Accepted: 07/11/2010] [Indexed: 11/20/2022] Open
Abstract
We studied the diagnostic value of CSF Aβ42/tau versus low Aβ1-42% and high Aβ1-40(ox)% levels for differential diagnosis of Alzheimer's disease (AD) and dementia with Lewy bodies (DLB), respectively. CSF of 45 patients with AD, 15 with DLB, 21 with Parkinson's disease dementia (PDD), and 40 nondemented disease controls (NDC) was analyzed by Aβ-SDS-PAGE/immunoblot and ELISAs (Aβ42 and tau). Aβ42/tau lacked specificity in discriminating AD from DLB and PDD. Best discriminating biomarkers were Aβ1-42% and Aβ1-40(ox)% for AD and DLB, respectively. AD and DLB could be differentiated by both Aβ1-42% and Aβ1-40(ox)% with an accuracy of 80% at minimum. Thus, we consider Aβ1-42% and Aβ1-40(ox)% to be useful biomarkers for AD and DLB, respectively. We propose further studies on the integration of Aβ1-42% and Aβ1-40(ox)% into conventional assay formats. Moreover, future studies should investigate the combination of Aβ1-40(ox)% and CSF alpha-synuclein for the diagnosis of DLB.
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Affiliation(s)
- Mirko Bibl
- Department of Psychiatry, Psychotherapy and Addiction Medicine, Kliniken Essen-Mitte, University of Duisburg-Essen, Henricistrasse 92, 45136 Essen, Germany
| | - Hermann Esselmann
- Department of Psychiatry, Psychotherapy, Rheinische Kliniken Essen, University of Duisburg-Essen, 45147 Essen, Germany
| | - Piotr Lewczuk
- Department of Psychiatry and Psychotherapy, University of Erlangen, Schwabachanlage 6, 91054 Erlangen, Germany
| | | | - Markus Otto
- Institute for Neurology, University of Ulm, 89075 Ulm, Germany
| | - Johannes Kornhuber
- Department of Psychiatry and Psychotherapy, University of Erlangen, Schwabachanlage 6, 91054 Erlangen, Germany
| | - Jens Wiltfang
- Department of Psychiatry, Psychotherapy, Rheinische Kliniken Essen, University of Duisburg-Essen, 45147 Essen, Germany
| | - Brit Mollenhauer
- Paracelsus-Elena Klinik, University of Goettingen, 34128 Kassel, Germany
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41
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Abstract
Alzheimer's disease will reach epidemic proportions within the next 20-30 years if left unchecked. Currently, there are no treatments that prevent or slow Alzheimer's disease but many are being developed. Parallel efforts to develop biomarkers to aid in disease diagnosis and prognosis, and assess disease risk are currently underway. Clinicopathological and biomarker studies have demonstrated that Alzheimer's disease pathology can be detected preclinically. Using biomarkers to identify affected individuals prior to the onset of clinical symptoms and associated synaptic/neuronal loss should enable novel clinical trial design and early mechanism-based therapeutic intervention. This article summarizes the most promising cerebrospinal fluid biomarkers, highlights novel applications and current challenges, and provides a prediction on how the field may evolve in 5-10 years.
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Affiliation(s)
- Anne M Fagan
- Department of Neurology, Hope Center for Neuological Disorder, Washington University, School of Medicine, St. Louis, MO 63110, USA.
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Protein coding of neurodegenerative dementias: the neuropathological basis of biomarker diagnostics. Acta Neuropathol 2010; 119:389-408. [PMID: 20198481 DOI: 10.1007/s00401-010-0658-1] [Citation(s) in RCA: 55] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2009] [Revised: 02/12/2010] [Accepted: 02/13/2010] [Indexed: 12/11/2022]
Abstract
Neuropathological diagnosis of neurodegenerative dementias evolved by adapting the results of neuroanatomy, biochemistry, and cellular and molecular biology. Milestone findings of intra- and extracellular argyrophilic structures, visualizing protein deposition, initiated a protein-based classification. Widespread application of immunohistochemical and biochemical investigations revealed that (1) there are modifications of proteins intrinsic to disease (species that are phosphorylated, nitrated, oligomers, proteinase-resistant, with or without amyloid characteristics; cleavage products), (2) disease forms characterized by the accumulation of a single protein only are rather the exception than the rule, and (3) some modifications of proteins elude present neuropathological diagnostic procedures. In this review, we summarize how neuropathology, together with biochemistry, contributes to disease typing, by demonstrating a spectrum of disorders characterized by the deposition of various modifications of various proteins in various locations. Neuropathology may help to elucidate how brain pathologies alter the detectability of proteins in body fluids by upregulation of physiological forms or entrapment of different proteins. Modifications of at least the five most relevant proteins (amyloid-beta, prion protein, tau, alpha-synuclein, and TDP-43), aided by analysis of further "attracted" proteins, are pivotal to be evaluated simultaneously with different methods. This should complement the detection of biomarkers associated with pathogenetic processes, and also neuroimaging and genetic analysis, in order to obtain a highly personalized diagnostic profile. Defining clusters of patients based on the patterns of protein deposition and immunohistochemically or biochemically detectable modifications of proteins ("codes") may have higher prognostic predictive value, may be useful for monitoring therapy, and may open new avenues for research on pathogenesis.
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Mollenhauer B, Trenkwalder C. Neurochemical biomarkers in the differential diagnosis of movement disorders. Mov Disord 2009; 24:1411-26. [PMID: 19412961 DOI: 10.1002/mds.22510] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
In recent years, the neurochemical analysis of neuronal proteins in cerebrospinal fluid (CSF) has become increasingly accepted for the diagnosis of neurodegenerative dementia diseases such as Alzheimer's disease and Creutzfeldt-Jakob disease. CSF surrounds the central nervous system, and in the composition of CSF proteins one finds brain-specific proteins that are prioritized from blood-derived proteins. Levels of specific CSF proteins could be very promising biomarkers for central nervous system diseases. We need the development of more easily accessible biomarkers, in the blood. In neurodegenerative diseases with and without dementia, studies on CSF and blood proteins have investigated the usefulness of biomarkers in differential diagnosis. The clinical diagnoses of Parkinson's disease, dementia with Lewy bodies, multiple system atrophy, progressive supranuclear palsy, and corticobasal degeneration still rely mainly on clinical symptoms as defined by international classification criteria. In this article, we review CSF biomarkers in these movement disorders and discuss recent published reports on the neurochemical intra vitam diagnosis of neurodegenerative disorders (including recent CSF alpha-synuclein findings).
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Smirnov A, Trupp A, Henkel A, Bloch E, Reulbach U, Lewczuk P, Riggert J, Kornhuber J, Wiltfang J. Differential processing and secretion of Aβ peptides and sAPPα in human platelets is regulated by thrombin and prostaglandine 2. Neurobiol Aging 2009; 30:1552-62. [DOI: 10.1016/j.neurobiolaging.2007.12.009] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2007] [Revised: 12/06/2007] [Accepted: 12/11/2007] [Indexed: 10/22/2022]
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45
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Kim YH, Marcus K, Grinberg LT, Goehler H, Wiltfang J, Stephan C, Eisenacher M, Hardt T, Martens L, J Dunn M, Park YM, Meyer HE. Toward a Successful Clinical Neuroproteomics The 11th HUPO Brain Proteome Project Workshop 3 March, 2009, Kolymbari, Greece. Proteomics Clin Appl 2009; 3:1012-6. [PMID: 21137003 DOI: 10.1002/prca.200900100] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2009] [Accepted: 06/19/2009] [Indexed: 11/07/2022]
Abstract
The HUPO Brain Proteome Project (HUPO BPP) held its 11th workshop in Kolymbari on March 3, 2009. The principal aim of this project is to obtain a better understanding of neurodiseases and ageing, with the ultimate objective of discovering prognostic and diagnostic biomarkers, in addition to the development of novel diagnostic techniques and new medications. The attendees came together to discuss sub-project progress in the clinical neuroproteomics of human or mouse models of Alzheimer's and Parkinson's disease, and to define the needs and guidelines required for more advanced proteomics approaches. With the election of new steering committees, the members of the HUPO BPP elaborated an actual plan promoting activities, outcomes, and future directions of the HUPO BPP to acquire new funding and new participants.
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Affiliation(s)
- Young Hye Kim
- Korea Basic Science Institute, Yusung-gu, Daejeon, Republic of Korea
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46
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Steinacker P, Hendrich C, Sperfeld AD, Jesse S, Lehnert S, Pabst A, von Arnim CAF, Mottaghy FM, Uttner I, Tumani H, Ludolph A, Otto M. Concentrations of beta-amyloid precursor protein processing products in cerebrospinal fluid of patients with amyotrophic lateral sclerosis and frontotemporal lobar degeneration. J Neural Transm (Vienna) 2009; 116:1169-78. [PMID: 19649690 DOI: 10.1007/s00702-009-0271-4] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2008] [Accepted: 02/07/2009] [Indexed: 12/12/2022]
Abstract
Frontotemporal lobar degeneration (FTLD) and amyotrophic lateral sclerosis (ALS) are neurodegenerative disorders with heterogeneous clinical presentation but common neuropathological characteristics and pathophysiological substrates, which led to the view of ALS and FTLD representing two manifestations of a clinicopathological spectrum. For both diseases, changes in metabolism of beta-amyloid precursor protein (APP) are reported. In a pilot study, we analyzed cerebrospinal fluid from patients of the ALS-FTLD spectrum for APP processing products. ALS patients show elevated absolute levels of soluble APP and a shift towards the nonamyloidogenic APP processing pathway in contrast to patients with FTLD or ALS + FTLD. Changes in Abeta pattern could be described, allowing separation of patients with pure FTLD from ALS + FTLD. Combination of sAPP and Abeta values improves group differentiation. These findings may provide information on pathophysiological processes in the ALS-FTLD disease spectrum and could have impact in neurochemical diagnosis. We propose to expand this study to larger patient groups comprising followed up cases with known neuropathology.
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47
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Deisenhammer F, Egg R, Giovannoni G, Hemmer B, Petzold A, Sellebjerg F, Teunissen C, Tumani H. EFNS guidelines on disease-specific CSF investigations. Eur J Neurol 2009; 16:760-70. [DOI: 10.1111/j.1468-1331.2009.02595.x] [Citation(s) in RCA: 56] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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48
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Monitoring the amyloid beta-peptide in vivo--caveat emptor. Drug Discov Today 2009; 14:241-51. [PMID: 19135168 DOI: 10.1016/j.drudis.2008.12.004] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2008] [Revised: 11/27/2008] [Accepted: 12/02/2008] [Indexed: 12/26/2022]
Abstract
As a wave of 'disease modifying' (DM) therapies for Alzheimer's disease (AD) progresses towards the later stages of clinical development, an evaluation of our ability to measure relevant pharmacodynamic effects of such therapies is warranted. Reducing accumulation of amyloid beta (Abeta)-peptide in the brain parenchyma is the primary objective of most current DM approaches. Although a number of methods are available to measure Abeta in blood, cerebrospinal fluid (CSF) and the cerebrum, putative DM-induced changes in the levels of the peptides may not be fully captured, and the reasons for any such changes are not fully understood. Additional candidate biofluid (tau and isoprostanes) and imaging (MRI, FDG-PET) measures may provide alternative supporting evidence of drug activity and subsequent clinical efficacy in patient populations.
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49
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Welge V, Fiege O, Lewczuk P, Mollenhauer B, Esselmann H, Klafki HW, Wolf S, Trenkwalder C, Otto M, Kornhuber J, Wiltfang J, Bibl M. Combined CSF tau, p-tau181 and amyloid-β 38/40/42 for diagnosing Alzheimer’s disease. J Neural Transm (Vienna) 2009; 116:203-12. [DOI: 10.1007/s00702-008-0177-6] [Citation(s) in RCA: 100] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2008] [Accepted: 12/17/2008] [Indexed: 11/28/2022]
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50
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Lakhan SE, Kramer A. Schizophrenia genomics and proteomics: are we any closer to biomarker discovery? Behav Brain Funct 2009; 5:2. [PMID: 19128481 PMCID: PMC2627915 DOI: 10.1186/1744-9081-5-2] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2008] [Accepted: 01/07/2009] [Indexed: 12/13/2022] Open
Abstract
The field of proteomics has made leaps and bounds in the last 10 years particularly in the fields of oncology and cardiovascular medicine. In comparison, neuroproteomics is still playing catch up mainly due to the relative complexity of neurological disorders. Schizophrenia is one such disorder, believed to be the results of multiple factors both genetic and environmental. Affecting over 2 million people in the US alone, it has become a major clinical and public health concern worldwide. This paper gives an update of schizophrenia biomarker research as reviewed by Lakhan in 2006 and gives us a rundown of the progress made during the last two years. Several studies demonstrate the potential of cerebrospinal fluid as a source of neuro-specific biomarkers. Genetic association studies are making headway in identifying candidate genes for schizophrenia. In addition, metabonomics, bioinformatics, and neuroimaging techniques are aiming to complete the picture by filling in knowledge gaps. International cooperation in the form of genomics and protein databases and brain banks is facilitating research efforts. While none of the recent developments described here in qualifies as biomarker discovery, many are likely to be stepping stones towards that goal.
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Affiliation(s)
- Shaheen E Lakhan
- Global Neuroscience Initiative Foundation, Los Angeles, CA, USA.
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