21 research outputs found

    Validation of the LUMIPULSE automated immunoassay for the measurement of core AD biomarkers in cerebrospinal fluid

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    Altres ajuts: Swedish Research Council (#2017-00915); Alzheimer Drug Discovery Foundation (ADDF), USA (#RDAPB-201809-2016615); Swedish Alzheimer Foundation (#AF-742881); Hjärnfonden, Sweden (#FO2017-0243); Swedish State Under the Agreement Between the Swedish Government and the County Councils, the ALF-Agreement (#ALFGBG-715986); National Program of Sustainability II (MEYS CR); Ministry of Health of the Czech Republic (grant no. 19-04-00560); ZonMW (part of the Dutch national 'Deltaplan for Dementia'; Selfridges Group Foundation; National Institutes of Health, USA (grant number 5R01NS104147-02); Alzheimerfonden (AF-930934); Åhléns-stiftelsen; Stiftelsen för Gamla tjänarinnor; Canadian Institutes of Health Research (CIHR) (MOP-11-51-31; RFN 152985, 159815, 162303); Canadian Consortium of Neurodegeneration and Aging (CCNA; MOP-11-51-31 -team 1); Weston Brain Institute, the Alzheimer's Association (NIRG-12-92090, NIRP-12-259245); Brain Canada Foundation (CFI Project 34874; 33397); Fonds de Recherche du Québec - Santé (FRQS; Chercheur Boursier, 2020-VICO-279314); Wallenberg Scholar supported by grants, Swedish Research Council (#2018-02532); Swedish State Support for Clinical Research (#ALFGBG-720931); Alzheimer Drug Discovery Foundation (ADDF), USA (#201809-2016862); Dementia Research Institute at UCL.Objectives: The core cerebrospinal fluid (CSF) biomarkers; total tau (tTau), phospho-tau (pTau), amyloid β 1-42 (Aβ 1-42), and the Aβ 1-42/Aβ 1-40 ratio have transformed Alzheimer's disease (AD) research and are today increasingly used in clinical routine laboratories as diagnostic tools. Fully automated immunoassay instruments with ready-to-use assay kits and calibrators has simplified their analysis and improved reproducibility of measurements. We evaluated the analytical performance of the fully automated immunoassay instrument LUMIPULSE G (Fujirebio) for measurement of the four core AD CSF biomarkers and determined cutpoints for AD diagnosis. Methods: Comparison of the LUMIPULSE G assays was performed with the established INNOTEST ELISAs (Fujirebio) for hTau Ag, pTau 181, β-amyloid 1-42, and with V-PLEX Plus Aβ Peptide Panel 1 (6E10) (Meso Scale Discovery) for Aβ 1-42/Aβ 1-40, as well as with a LC-MS reference method for Aβ 1-42. Intra- and inter-laboratory reproducibility was evaluated for all assays. Clinical cutpoints for Aβ 1-42, tTau, and pTau was determined by analysis of three cohorts of clinically diagnosed patients, comprising 651 CSF samples. For the Aβ 1-42/Aβ 1-40 ratio, the cutpoint was determined by mixture model analysis of 2,782 CSF samples. Results: The LUMIPULSE G assays showed strong correlation to all other immunoassays (r>0.93 for all assays). The repeatability (intra-laboratory) CVs ranged between 2.0 and 5.6%, with the highest variation observed for β-amyloid 1-40. The reproducibility (inter-laboratory) CVs ranged between 2.1 and 6.5%, with the highest variation observed for β-amyloid 1-42. The clinical cutpoints for AD were determined to be 409 ng/L for total tau, 50.2 ng/L for pTau 181, 526 ng/L for β-amyloid 1-42, and 0.072 for the Aβ 1-42/Aβ 1-40 ratio. Conclusions: Our results suggest that the LUMIPULSE G assays for the CSF AD biomarkers are fit for purpose in clinical laboratory practice. Further, they corroborate earlier presented reference limits for the biomarkers

    Transient increase in CSF GAP-43 concentration after ischemic stroke

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    Abstract Background Cerebrospinal fluid (CSF) biomarkers reflect ongoing processes in the brain. Growth-associated protein 43 (GAP-43) is highly upregulated in brain tissue shortly after experimental ischemia suggesting the CSF GAP-43 concentration may be altered in ischemic brain disorders. CSF GAP-43 concentration is elevated in Alzheimer’s disease patients; however, patients suffering from stroke have not been studied previously. Methods The concentration of GAP-43 was measured in longitudinal CSF samples from 28 stroke patients prospectively collected on days 0–1, 2–4, 7–9, 3 weeks, and 3–5 months after ischemia and cross-sectionally in 19 controls. The stroke patients were clinically evaluated using a stroke severity score system. The extent of the brain lesion, including injury size and degrees of white matter lesions and atrophy were evaluated by CT and magnetic resonance imaging. Results Increased GAP-43 concentration was detected from day 7–9 to 3 weeks after stroke, compared to day 1–4 and to levels in the control group (P = 0.02 and P = 0.007). At 3–5 months after stroke GAP-43 returned to admission levels. The initial increase in GAP-43 during the nine first days was associated to stroke severity, the degree of white matter lesions and atrophy and correlated positively with infarct size (r s = 0.65, P = 0.001). Conclusions The transient increase of CSF GAP-43 is important to take into account when used as a biomarker for other neurodegenerative diseases such as Alzheimer’s disease. Furthermore, GAP-43 may be a marker of neuronal responses after stroke and additional studies confirming the potential of CSF GAP-43 to reflect severity and outcome of stroke in larger cohorts are warranted

    Increased CSF alpha-synuclein levels in Alzheimer's disease:Correlation with tau levels

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    Background: Given the difficult clinical differential diagnosis between Alzheimer's disease (AD) and dementia with Lewy bodies (DLB), growing interest resulted in research on alpha-synuclein as a potential cerebrospinal fluid biomarker (CSF) for synucleinopathies. Methods: CSF alpha-synuclein-140 concentrations were determined by a prototype xMAP (TM) bead-based assay (Innogenetics NV, Belgium). In addition, CSF amyloid beta(1-42) (A beta(1-42)), total tau (T-tau), and phosphorylated tau (P-tau(181P)) levels were determined. Results: CSF alpha-synuclein levels were higher in AD patients as compared with cognitively healthy controls (P = .019) and patients with synucleinopathies (P <.001). CSF alpha-synuclein levels were correlated with T-tau (P <.001) and P-tau(181P) (P <.001) levels in autopsy-confirmed AD patients. A diagnostic algorithm using alpha-synuclein and P-tau(181P) discriminated neuropathologically confirmed AD from DLB patients, resulting in sensitivity and specificity values of 85% and 81%, respectively. Conclusion: Because CSF alpha-synuclein levels were significantly higher in AD as compared with synucleinopathies, alpha-synuclein might have a value as a biomarker for differential dementia diagnosis. (C) 2014 The Alzheimer's Association. All rights reserved

    Clinical utility of cerebrospinal fluid biomarkers measured by LUMIPULSE® system

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    Abstract Objectives Cerebrospinal fluid (CSF) biomarkers of Alzheimer's disease (AD) are well‐established in research settings, but their use in routine clinical practice remains a largely unexploited potential. Here, we examined the relationship between CSF biomarkers, measured by a fully automated immunoassay platform, and brain β‐amyloid (Aβ) deposition status confirmed by amyloid positron emission tomography (PET). Methods One hundred ninety‐nine CSF samples from clinically diagnosed AD patients enrolled in a clinical study and who underwent amyloid PET were used for the measurement of CSF biomarkers Aβ 1–40 (Aβ40), Aβ 1–42 (Aβ42), total tau (t‐Tau), and phosphorylated tau‐181 (p‐Tau181) using the LUMIPULSE system. These biomarkers and their combinations were compared to amyloid PET classification (negative or positive) using visual read assessments. Several combinations were also analyzed with a multivariable logistic regression model. Results Aβ42, t‐Tau, and p‐Tau181, and the ratios of Aβ42 with other biomarkers had a good diagnostic agreement with amyloid PET imaging. The multivariable logistic regression analysis showed that amyloid PET status was associated with Aβ40 and Aβ42, but other factors, such as MMSE, sex, t‐Tau, and p‐Tau181, did not significantly add information to the model. Conclusions CSF biomarkers measured with the LUMIPULSE system showed good agreement with amyloid PET imaging. The ratio of Aβ42 with the other analyzed biomarkers showed a higher correlation with amyloid PET than Aβ42 alone, suggesting that the combinations of biomarkers could be useful in the diagnostic assessment in clinical research and potentially in routine clinical practice

    Commutability of the certified reference materials for the standardization of β-amyloid 1-42 assay in human cerebrospinal fluid: lessons for tau and β-amyloid 1-40 measurements

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    The core Alzheimer’s disease cerebrospinal fluid (CSF) biomarkers total tau (T-tau), phosphorylated tau (P-tau), β-amyloid 1-42 (Aβ42) and β-amyloid 1-40 (Aβ40) are increasing in importance and are now part of the research criteria for the diagnosis of the disease. The main aim of this study is to evaluate whether a set of certified reference materials (CRMs) are commutable for Aβ42 and to serve as a feasibility study for the other markers. This property is a prerequisite for the establishment of CRMs which will then be used by manufacturers to calibrate their assays against. Once the preanalytical factors have been standardized and proper selection criteria are available for subject cohorts this harmonization between methods will allow for universal cut-offs to be determined.JRC.F.6-Reference Material

    Association of CSF GAP-43 With the Rate of Cognitive Decline and Progression to Dementia in Amyloid-Positive Individuals

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    BACKGROUND AND OBJECTIVES: To test the associations between the presynaptic growth-associated protein 43 (GAP-43) protein, quantified in cerebrospinal fluid (CSF), and biomarkers of Alzheimer's disease (AD) pathophysiology, cross-sectionally and longitudinally. METHODS: In this retrospective study, GAP-43 was measured in participants from the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort using an in-house ELISA method, and levels were compared between groups, both cross-sectionally and longitudinally. Linear regression models tested the associations between biomarkers of AD (Aβ and tau pathologies, neurodegeneration and cognition) adjusted by age, sex and diagnosis. Linear mixed effect models (LME) evaluated how baseline GAP-43 predicts brain hypometabolism, atrophy and cognitive decline over time. Cox-proportional hazard regression models tested how GAP-43 levels and Aβ status, at baseline, increased the risk of progression to AD dementia over time. RESULTS: This study included 786 participants from the ADNI cohort, which were further classified in cognitively unimpaired (CU) Aβ-negative (nCU-=197); CU Aβ-positive (nCU+=55), mild cognitively impaired (MCI) Aβ-negative (nMCI-=228), MCI Aβ-positive (nMCI+=193) and AD dementia Aβ-positive (nAD=113). CSF GAP-43 levels were increased in Aβ-positive compared to Aβ-negative participants, independent of the cognitive status. In Aβ-positive participants, high baseline GAP-43 levels led to worse brain metabolic decline (P=0.01), worse brain atrophy (P=8.8x10-27) as well as worse MMSE scores (P= 0.03) over time, as compared to those with low GAP-43 levels. Similarly, Aβ-positive participants with high baseline GAP-43 had the highest risk to convert to AD dementia (hazard ratio [HR=8.56, 95% CI, 4.94-14.80, P=1.5x10-14]). Despite the significant association with Aβ pathology (η 2 Aβ PET=0.09, P Aβ PET<0.001), CSF tTau and P-Tau had a larger effect size on GAP43 than had Aβ PET (η 2 pTau-181=0.53, P pTau-181<0.001; η 2 tTau=0.59, P tTau<0.001). CONCLUSIONS: and Classification of Evidence: This study provides Class III classification of evidence that high baseline levels of CSF GAP-43 are associated to progression in Aβ-positive individuals, with a more aggressive neurodegenerative process, faster rate of cognitive decline and increased risk of converting to dementia

    The impact of preanalytical variables on measuring cerebrospinal fluid biomarkers for Alzheimer's disease diagnosis : A review

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    Introduction: Cerebrospinal fluid (CSF) biomarkers have the potential to improve the diagnostic accuracy of Alzheimer's disease, yet there is a lack of harmonized preanalytical CSF handling protocols. Methods: This systematic review summarizes the current literature on the influence of preanalytical variables on CSF biomarker concentration. We evaluated the evidence for three core CSF biomarkers: β-amyloid 42, total tau, and phosphorylated tau. Results: The clinically important variables with the largest amount of conflicting data included the temperature at which samples are stored, the time nonfrozen samples can be stored, and possible effects of additives such as detergents, blood contamination, and centrifugation. Conversely, we discovered that there is consensus that tube material has a significant effect. Discussion: A unified CSF handling protocol is recommended to reduce preanalytical variability and facilitate comparison of CSF biomarkers across studies and laboratories. In future, experiments should use a gold standard with fresh CSF collected in low binding tubes
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