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Yakoub Y, Gonzalez-Ortiz F, Ashton NJ, Déry C, Strikwerda-Brown C, St-Onge F, Ourry V, Schöll M, Geddes MR, Ducharme S, Montembeault M, Rosa-Neto P, Soucy JP, Breitner JCS, Zetterberg H, Blennow K, Poirier J, Villeneuve S. Plasma p-tau217 predicts cognitive impairments up to ten years before onset in normal older adults. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.09.24307120. [PMID: 38766113 PMCID: PMC11100946 DOI: 10.1101/2024.05.09.24307120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
Importance Positron emission tomography (PET) biomarkers are the gold standard for detection of Alzheimer amyloid and tau in vivo . Such imaging can identify cognitively unimpaired (CU) individuals who will subsequently develop cognitive impartment (CI). Plasma biomarkers would be more practical than PET or even cerebrospinal fluid (CSF) assays in clinical settings. Objective Assess the prognostic accuracy of plasma p-tau217 in comparison to CSF and PET biomarkers for predicting the clinical progression from CU to CI. Design In a cohort of elderly at high risk of developing Alzheimer's dementia (AD), we measured the proportion of CU individuals who developed CI, as predicted by Aβ (A+) and/or tau (T+) biomarker assessment from plasma, CSF, and PET. Results from each method were compared with (A-T-) reference individuals. Data were analyzed from June 2023 to April 2024. Setting Longitudinal observational cohort. Participants Some 228 participants from the PREVENT-AD cohort were CU at the time of biomarker assessment and had 1 - 10 years of follow-up. Plasma was available from 215 participants, CSF from 159, and amyloid- and tau-PET from 155. Ninety-three participants had assessment using all three methods (main group of interest). Progression to CI was determined by clinical consensus among physicians and neuropsychologists who were blind to plasma, CSF, PET, and MRI findings, as well as APOE genotype. Exposures Plasma Aβ 42/40 was measured using IP-MS; CSF Aβ 42/40 using Lumipulse; plasma and CSF p-tau217 using UGOT assay. Aβ-PET employed the 18 F-NAV4694 ligand, and tau-PET used 18 F-flortaucipir. Main Outcome Prognostic accuracy of plasma, CSF, and PET biomarkers for predicting the development of CI in CU individuals. Results Cox proportional hazard models indicated a greater progression rate in all A+T+ groups compared to A-T-groups (HR = 6.61 [95% CI = 2.06 - 21.17] for plasma, 3.62 [1.49 - 8.81] for CSF and 9.24 [2.34 - 36.43] for PET). The A-T+ groups were small, but also characterized with individuals who developed CI. Plasma biomarkers identified about five times more T+ than PET. Conclusion and relevance Plasma p-tau217 assessment is a practical method for identification of persons who will develop cognitive impairment up to 10 years later. Key Points Question: Can plasma p-tau217 serve as a prognostic indicator for identifying cognitively unimpaired (CU) individuals at risk of developing cognitive impairments (CI)?Findings: In a longitudinal cohort of CU individuals with a family history of sporadic AD, almost all individuals with abnormal plasma p-tau217 concentrations developed CI within 10 years, regardless of plasma amyloid levels. Similar findings were obtained with CSF p-tau217 and tau-PET. Fluid p-tau217 biomarkers had the main advantage over PET of identifying five times more participants with elevated tau.Meaning: Elevated plasma p-tau217 levels in CU individuals strongly indicate future clinical progression.
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Ho S, Darrow J, De Simone F, Calabro A, Gannon S, Esquivel R, Thakker P, Khingelova K, Rao A, Zhang Y, Moghekar A. Assessment of Preanalytical Cerebrospinal Fluid Handling and Storage Factors on Measurement of Aβ1-42, Aβ1-40, and pTau181 Using an Automated Chemiluminescent Platform. J Appl Lab Med 2024:jfae033. [PMID: 38712812 DOI: 10.1093/jalm/jfae033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Accepted: 03/11/2024] [Indexed: 05/08/2024]
Abstract
BACKGROUND Standardizing cerebrospinal fluid (CSF) laboratory protocols will improve the reliability and availability of clinical biomarker testing required for prescription of novel Alzheimer disease (AD) therapies. This study evaluated several preanalytical handling and storage factors common to β-amyloid1-42 (Aβ1-42), β-amyloid1-40 (Aβ1-40), and phosphorylated tau (pTau181) concentrations including storage at different temperatures, extended cap contact, various mixing methods, and multiple freeze-thaw cycles. METHODS Aβ1-42, Aβ1-40, and pTau181 concentrations were measured using LUMIPULSE G1200 automated assays. Samples were collected in polypropylene tubes of various volumes. Sample cap-contact was evaluated by storing samples in upright and inverted positions at either 4°C for 1 week or -80°C for 1 month. To assess mixing methods, samples were freeze-thawed and mixed by inversion, vortex, horizontal roller, or unmixed prior to assay sampling. The impact of successive freeze-thaw cycles was assessed through freezing, thawing, and analyzing CSF samples. RESULTS Short-term storage at 4°C did not affect Aβ1-42, Aβ1-40, or pTau181 measurements in any tube type. Tube cap contact affected Aβ1-42 in 2.5 mL tubes and pTau181 levels in 10 mL tubes. No difference was observed between mixing methods. After 4 freeze-thaw cycles, Aβ1-42 significantly decreased but Aβ1-40 remained unchanged. Utilizing the Aβ1-42/Aβ1-40 ratio, Aβ1-42 values normalized, maintaining ratio values within ±5% of baseline measurements. CONCLUSIONS Storage of CSF at 4°C for 1 week or -80°C for 1 month did not significantly affect Aβ1-42, Aβ1-40, pTau181, or associated ratio measurements. Tube cap-contact impacted pTau181 and pTau181/Aβ1-42 values in larger tubes. Mixing methods are equivalent. The Aβ1-42/Aβ1-40 ratio compensates for freeze-thaw variability up to 4 cycles.
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Affiliation(s)
- Sara Ho
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Jacqueline Darrow
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | | | | | - Sara Gannon
- Fujirebio Diagnostics Inc., Malvern, PA, United States
| | | | - Parmi Thakker
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Kristina Khingelova
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Aruna Rao
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Yifan Zhang
- Department of Biostatistics, Johns Hopkins School of Public Health, Baltimore, MD, United States
| | - Abhay Moghekar
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, United States
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Algeciras‐Schimnich A, Bornhorst JA. Importance of cerebrospinal fluid (CSF) collection protocol for the accurate diagnosis of Alzheimer's disease when using CSF biomarkers. Alzheimers Dement 2024; 20:3657-3658. [PMID: 38288880 PMCID: PMC11095420 DOI: 10.1002/alz.13721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 01/05/2024] [Indexed: 05/16/2024]
Affiliation(s)
| | - Joshua A. Bornhorst
- Department of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesotaUSA
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Jonaitis EM, Jeffers B, VandenLangenberg M, Ma Y, Van Hulle C, Langhough R, Du L, Chin NA, Przybelski RJ, Hogan KJ, Christian BT, Betthauser TJ, Okonkwo OC, Bendlin BB, Asthana S, Carlsson CM, Johnson SC. CSF Biomarkers in Longitudinal Alzheimer Disease Cohorts: Pre-Analytic Challenges. Clin Chem 2024; 70:538-550. [PMID: 38431278 PMCID: PMC10908554 DOI: 10.1093/clinchem/hvad221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 11/27/2023] [Indexed: 03/05/2024]
Abstract
BACKGROUND The sensitivity of amyloid to pre-analytic factors complicates cerebrospinal fluid (CSF) diagnostics for Alzheimer disease. We report reliability and validity evidence for automated immunoassays from frozen and fresh CSF samples in an ongoing, single-site research program. METHODS CSF samples were obtained from 2 Wisconsin cohorts (1256 measurements; 727 participants). Levels of amyloid beta 1-42 (Aβ42), phosphorylated tau 181 (pTau181), and total tau (tTau) were obtained using an Elecsys cobas e 601 platform. Repeatability and fixed effects of storage tube type, extraction method, and freezing were assessed via mixed models. Concordance with amyloid positron emission tomography (PET) was investigated with 238 participants having a temporally proximal PET scan. RESULTS Repeatability was high with intraclass correlation (ICC) ≥0.9, but tube type strongly affected measurements. Discriminative accuracy for PET amyloid positivity was strong across tube types (area under the curve [AUC]: Aβ42, 0.87; pTau181Aβ42 , 0.96), although optimal thresholds differed. CONCLUSIONS Under real-world conditions, the Elecsys platform had high repeatability. However, strong effects of pre-analytic factors suggest caution in drawing longitudinal inferences.
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Affiliation(s)
- Erin M Jonaitis
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
- Department of Medicine, Division of Geriatrics and Gerontology, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
| | - Beckie Jeffers
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
- Department of Medicine, Division of Geriatrics and Gerontology, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
| | - Monica VandenLangenberg
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
- Department of Medicine, Division of Geriatrics and Gerontology, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
| | - Yue Ma
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
| | - Carol Van Hulle
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
| | - Rebecca Langhough
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
- Department of Medicine, Division of Geriatrics and Gerontology, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
| | - Lianlian Du
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
- Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
| | - Nathaniel A Chin
- Department of Medicine, Division of Geriatrics and Gerontology, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
| | - Robert J Przybelski
- Department of Medicine, Division of Geriatrics and Gerontology, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
| | - Kirk J Hogan
- Department of Anesthesiology, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
| | - Bradley T Christian
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
- Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
- Department of Psychiatry, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
| | - Tobey J Betthauser
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
- Department of Medicine, Division of Geriatrics and Gerontology, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
| | - Ozioma C Okonkwo
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
- Department of Medicine, Division of Geriatrics and Gerontology, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
| | - Barbara B Bendlin
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
- Department of Medicine, Division of Geriatrics and Gerontology, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
| | - Sanjay Asthana
- Geriatric Research Education and Clinical Center of the Wm. S. Middleton Memorial Veterans Hospital, Madison, WI, United States
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
| | - Cynthia M Carlsson
- Geriatric Research Education and Clinical Center of the Wm. S. Middleton Memorial Veterans Hospital, Madison, WI, United States
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
| | - Sterling C Johnson
- Geriatric Research Education and Clinical Center of the Wm. S. Middleton Memorial Veterans Hospital, Madison, WI, United States
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
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Igeta Y, Hemmi I, Yuyama K, Ouchi Y. Odor identification score as an alternative method for early identification of amyloidogenesis in Alzheimer's disease. Sci Rep 2024; 14:4658. [PMID: 38409432 PMCID: PMC10897211 DOI: 10.1038/s41598-024-54322-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Accepted: 02/11/2024] [Indexed: 02/28/2024] Open
Abstract
A simple screening test to identify the early stages of Alzheimer's disease (AD) is urgently needed. We investigated whether odor identification impairment can be used to differentiate between stages of the A/T/N classification (amyloid, tau, neurodegeneration) in individuals with amnestic mild cognitive impairment or AD and in healthy controls. We collected data from 132 Japanese participants visiting the Toranomon Hospital dementia outpatient clinic. The odor identification scores correlated significantly with major neuropsychological scores, regardless of apolipoprotein E4 status, and with effective cerebrospinal fluid (CSF) biomarkers [amyloid β 42 (Aβ42) and the Aβ42/40 and phosphorylated Tau (p-Tau)/Aβ42 ratios] but not with ineffective biomarkers [Aβ40 and the p-Tau/total Tau ratio]. A weak positive correlation was observed between the corrected odor identification score (adjusted for age, sex, ApoE4 and MMSE), CSF Aβ42, and the Aβ42/40 ratio. The odor identification score demonstrated excellent discriminative power for the amyloidogenesis stage , according to the A/T/N classification, but was unsuitable for differentiating between the p-Tau accumulation and the neurodegeneration stages. After twelve odor species were analyzed, a version of the score comprising only four odors-India ink, wood, curry, and sweaty socks-proved highly effective in identifying AD amyloidogenesis, showing promise for the screening of preclinical AD.
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Affiliation(s)
- Yukifusa Igeta
- Department of Dementia, Dementia Center, Federation of National Public Service Personnel Mutual Aid Associations, Toranomon Hospital, 2-2-2 Toranomon, Minato-ku, Tokyo, 105-8470, Japan.
- Division of Dementia Research, Okinaka Memorial Institute for Medical Research, 2-2-2 Toranomon, Minato-ku, Tokyo, 105-8470, Japan.
| | - Isao Hemmi
- Japanese Red Cross College of Nursing, 4-1-3 Hiroo, Shibuya-ku, Tokyo, 150-0012, Japan
| | - Kohei Yuyama
- Lipid Biofunction Section, Faculty of Advanced Life Science, Hokkaido University, Kita-21, Nishi-11, Kita-ku, Sapporo, 001-0021, Japan
| | - Yasuyoshi Ouchi
- Department of Dementia, Dementia Center, Federation of National Public Service Personnel Mutual Aid Associations, Toranomon Hospital, 2-2-2 Toranomon, Minato-ku, Tokyo, 105-8470, Japan
- Division of Dementia Research, Okinaka Memorial Institute for Medical Research, 2-2-2 Toranomon, Minato-ku, Tokyo, 105-8470, Japan
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Bali D, Hansson O, Janelidze S. Effects of certain pre-analytical factors on the performance of plasma phospho-tau217. Alzheimers Res Ther 2024; 16:31. [PMID: 38331843 PMCID: PMC10851521 DOI: 10.1186/s13195-024-01391-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 01/14/2024] [Indexed: 02/10/2024]
Abstract
INTRODUCTION Pre-analytical factors can cause substantial variability in the measurements of cerebrospinal fluid (CSF) and plasma biomarkers of Alzheimer's disease (AD). However, their effects on the performance of one of the most promising plasma AD biomarkers, phosphorylated tau (p-tau)217, are not known. METHODS We included 50 amyloid-β positive (Aβ+) and 50 Aβ- participants from the Swedish BioFINDER-1 study. Plasma and CSF p-tau217 were measured using an immunoassay developed by Lilly Research Laboratories. We examined the effect of four plasma handling conditions, i.e., (1) thawing at room temperature (RT) with no centrifugation, (2) thawing at RT followed by centrifugation, (3) thawing on ice with no centrifugation, and (4) thawing on ice followed by centrifugation. In addition, we also tested the effects of up to 3 freeze-thaw cycles on the associations of plasma p-tau217 with AD-related pathologies measured with CSF p-tau217 and CSF Aβ42/Aβ40. RESULTS In the whole cohort (combining Aβ+ and Aβ- participants), we found significant correlations between plasma p-tau217 and both CSF p-tau217 (Rrange, 0.614-0.717, p < 0.001) and CSF Aβ42/Aβ40 (Spearman Rrange, - 0.515 to - 0.652, p < 0.001) for each of the four tested conditions. Correlations between plasma and CSF p-tau217 were also significant for all conditions in the Aβ+ group (Rrange, 0.506-0.579, p < 0.001). However, in this Aβ+ subgroup, correlations with CSF Aβ42/Aβ40 were only significant for centrifuged samples (thawed at RT, R = - 0.394, p = 0.010; thawed on ice, R = - 0.406; p = 0.007). In Aβ- participants, correlations between plasma and CSF p-tau217 were again significant only for centrifuged samples (thawed at RT, R = 0.394, p = 0.007; thawed on ice, R = 0.334; p = 0.022), with no correlations seen between plasma p-tau217 and CSF Aβ42/Aβ40 for any of the conditions. While the accuracy of plasma p-tau217 to identify individuals with abnormal CSF Aβ42/Aβ40 or CSF p-tau217 status was high, the AUCs for samples thawed at RT and analyzed without centrifugation were numerically lower than the AUCs of other conditions (CSF Aβ42/Aβ40 = 0.845 vs 0.872-0.884; CSF p-tau217 = 0.866 vs 0.908-0.924, pdiff > 0.11). P-tau217 concentration was consistently higher in non-centrifuged samples than in centrifuged samples (p ≤ 0.021). There were no differences between samples freeze-thawed once, twice, or three times. CONCLUSION Centrifugation improved the performance of plasma p-tau217, but thawing temperatures and up to three freeze-thaw cycles did not have a significant impact. These results may inform the future development of standardized sample-handling protocols for AD biomarkers.
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Affiliation(s)
- Divya Bali
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Sölvegatan 19, BMC B11, 22184, Lund, Sweden.
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Sölvegatan 19, BMC B11, 22184, Lund, Sweden
- Memory Clinic, Skåne University Hospital, 20502, Malmö, Sweden
| | - Shorena Janelidze
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Sölvegatan 19, BMC B11, 22184, Lund, Sweden.
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Kurihara M, Kondo S, Ohse K, Nojima H, Kikkawa-Saito E, Iwata A. Relationship Between Cerebrospinal Fluid Alzheimer's Disease Biomarker Values Measured via Lumipulse Assays and Conventional ELISA: Single-Center Experience and Systematic Review. J Alzheimers Dis 2024; 99:1077-1092. [PMID: 38759016 DOI: 10.3233/jad-240185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/19/2024]
Abstract
Background Although Lumipulse assays and conventional ELISA are strongly correlated, the precise relationship between their measured values remains undetermined. Objective To determine the relationship between Lumipulse and ELISA measurement values. Methods Patients who underwent cerebrospinal fluid (CSF) Alzheimer's disease (AD) biomarker measurements and consented to biobanking between December 2021 and June 2023 were included. The relationship between values measured via Lumipulse assays and conventional ELISA were evaluated by Passing-Bablok analyses for amyloid-β 1-42 (Aβ42), total tau (t-tau), and phospho-tau 181 (p-tau 181). Studies using both assays were systematically searched for in PubMed and summarized after quality assessment. Results Regression line slopes and intercepts were 1.41 (1.23 to 1.60) and -77.8 (-198.4 to 44.5) for Aβ42, 0.94 (0.88 to 1.01) and 98.2 (76.9 to 114.4) for t-tau, and 1.60 (1.43 to 1.75) and -21.1 (-26.9 to -15.6) for p-tau181. Spearman's correlation coefficients were 0.90, 0.95, and 0.95 for Aβ42, t-tau, and p-tau181, respectively. We identified 13 other studies that included 2,117 patients in total. Aβ42 slope varied among studies, suggesting inter-lab difference of ELISA. The slope and intercept of t-tau were approximately 1 and 0, respectively, suggesting small proportional and systematic differences. Conversely, the p-tau181 slope was significantly higher than 1, distributed between 1.5-2 in most studies, with intercepts significantly lower than 0, suggesting proportional and systematic differences. Conclusions We characterized different relationship between measurement values for each biomarker, which may be useful for understanding the differences in CSF biomarker measurement values on different platforms and for future global harmonization.
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Affiliation(s)
- Masanori Kurihara
- Department of Neurology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan
- Integrated Research Initiative for Living Well with Dementia, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan
| | - Soichiro Kondo
- Department of Neurology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan
| | - Kensuke Ohse
- Integrated Research Initiative for Living Well with Dementia, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan
| | | | | | - Atsushi Iwata
- Department of Neurology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan
- Integrated Research Initiative for Living Well with Dementia, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan
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Wang Z, Lewis V, Stehmann C, Varghese S, Senesi M, McGlade A, Ellett LJ, Doecke JD, Eratne D, Velakoulis D, Masters CL, Collins SJ, Li Q. Alzheimer's disease biomarker utilization at first referral enhances differential diagnostic precision with simultaneous exclusion of Creutzfeldt-Jakob disease. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2024; 16:e12548. [PMID: 38352040 PMCID: PMC10862167 DOI: 10.1002/dad2.12548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 12/19/2023] [Indexed: 02/16/2024]
Abstract
Most suspected Creutzfeldt-Jakob disease (CJD) cases are eventually diagnosed with other disorders. We assessed the utility of investigating Alzheimer's disease (AD) biomarkers and neurofilament light (NfL) in patients when CJD is suspected. The study cohort consisted of cerebrospinal fluid (CSF) samples referred for CJD biomarker screening wherein amyloid beta 1-42 (Aβ1-42), phosphorylated tau 181 (p-tau181), and total tau (t-tau) could be assessed via Elecsys immunoassays (n = 419) and NfL via enzyme-linked immunosorbent assay (ELISA; n = 161). In the non-CJD sub cohort (n = 371), 59% (219/371) had A+T- (abnormal Aβ1-42 only) and 21% (79/371) returned A+T+ (abnormal Aβ1-42 and p-tau181). In the 48 CJD subjects, a similar AD biomarker profile distribution was observed. To partially address the prevalence of likely pre-symptomatic AD, NfL was utilized to assess for neuronal damage. NfL was abnormal in 76% (25/33) of A+T- subjects 40 to 69 years of age, 80% (20/25) of whom had normal t-tau. This study reinforces AD as an important differential diagnosis of suspected CJD, highlighting that incorporating AD biomarkers and NfL at initial testing is worthwhile.
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Affiliation(s)
- Zitianyu Wang
- National Dementia Diagnostics Laboratory (NDDL), The Florey InstituteThe University of MelbourneParkvilleAustralia
- Australian National Creutzfeldt‐Jakob Disease Registry (ANCJDR), The Florey InstituteThe University of MelbourneParkvilleAustralia
| | - Victoria Lewis
- Australian National Creutzfeldt‐Jakob Disease Registry (ANCJDR), The Florey InstituteThe University of MelbourneParkvilleAustralia
- Department of Medicine, Clinical Sciences Building, Royal Melbourne Hospital (RMH)The University of MelbourneParkvilleAustralia
| | - Christiane Stehmann
- Australian National Creutzfeldt‐Jakob Disease Registry (ANCJDR), The Florey InstituteThe University of MelbourneParkvilleAustralia
| | - Shiji Varghese
- National Dementia Diagnostics Laboratory (NDDL), The Florey InstituteThe University of MelbourneParkvilleAustralia
| | - Matteo Senesi
- Australian National Creutzfeldt‐Jakob Disease Registry (ANCJDR), The Florey InstituteThe University of MelbourneParkvilleAustralia
- Department of Medicine, Clinical Sciences Building, Royal Melbourne Hospital (RMH)The University of MelbourneParkvilleAustralia
| | - Amelia McGlade
- Australian National Creutzfeldt‐Jakob Disease Registry (ANCJDR), The Florey InstituteThe University of MelbourneParkvilleAustralia
| | - Laura J. Ellett
- Australian National Creutzfeldt‐Jakob Disease Registry (ANCJDR), The Florey InstituteThe University of MelbourneParkvilleAustralia
| | | | - Dhamidhu Eratne
- National Dementia Diagnostics Laboratory (NDDL), The Florey InstituteThe University of MelbourneParkvilleAustralia
- Neuropsychiatry, John Cade BuildingRoyal Melbourne HospitalParkvilleAustralia
| | - Dennis Velakoulis
- Neuropsychiatry, John Cade BuildingRoyal Melbourne HospitalParkvilleAustralia
| | - Colin L. Masters
- National Dementia Diagnostics Laboratory (NDDL), The Florey InstituteThe University of MelbourneParkvilleAustralia
- Australian National Creutzfeldt‐Jakob Disease Registry (ANCJDR), The Florey InstituteThe University of MelbourneParkvilleAustralia
| | - Steven J. Collins
- National Dementia Diagnostics Laboratory (NDDL), The Florey InstituteThe University of MelbourneParkvilleAustralia
- Australian National Creutzfeldt‐Jakob Disease Registry (ANCJDR), The Florey InstituteThe University of MelbourneParkvilleAustralia
- Department of Medicine, Clinical Sciences Building, Royal Melbourne Hospital (RMH)The University of MelbourneParkvilleAustralia
| | - Qiao‐Xin Li
- National Dementia Diagnostics Laboratory (NDDL), The Florey InstituteThe University of MelbourneParkvilleAustralia
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Wang H, Sun M, Li W, Liu X, Zhu M, Qin H. Biomarkers associated with the pathogenesis of Alzheimer's disease. Front Cell Neurosci 2023; 17:1279046. [PMID: 38130871 PMCID: PMC10733517 DOI: 10.3389/fncel.2023.1279046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 11/21/2023] [Indexed: 12/23/2023] Open
Abstract
Alzheimer's disease (AD) is a progressive degenerative neurological illness with insidious onset. Due to the complexity of the pathogenesis of AD and different pathological changes, the clinical phenotypes of dementia are diverse, and these pathological changes also interact with each other. Therefore, it is of great significance to search for biomarkers that can diagnose these pathological changes to improve the ability to monitor the course of disease and treat the disease. The pathological mechanism hypothesis with high recognition of AD mainly includes the accumulation of β-amyloid (Aβ) around neurons and hyperphosphorylation of tau protein, which results in the development of neuronal fiber tangles (NFTs) and mitochondrial dysfunction. AD is an irreversible disease; currently, there is no clinical cure or delay in the disease process of drugs, and there is a lack of effective early clinical diagnosis methods. AD patients, often in the dementia stages and moderate cognitive impairment, will seek medical treatment. Biomarkers can help diagnose the presence or absence of specific diseases and their pathological processes, so early screening and diagnosis are crucial for the prevention and therapy of AD in clinical practice. β-amyloid deposition (A), tau pathology (T), and neurodegeneration/neuronal damage (N), also known as the AT (N) biomarkers system, are widely validated core humoral markers for the diagnosis of AD. In this paper, the pathogenesis of AD related to AT (N) and the current research status of cerebrospinal fluid (CSF) and blood related biomarkers were reviewed. At the same time, the limitations of humoral markers in the diagnosis of AD were also discussed, and the future development of humoral markers for AD was prospected. In addition, the contents related to mitochondrial dysfunction, prion virology and intestinal microbiome related to AD are also described, so as to understand the pathogenesis of AD in many aspects and dimensions, so as to evaluate the pathological changes related to AD more comprehensively and accurately.
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Affiliation(s)
- Hui Wang
- College of Life Sciences, Nankai University, Tianjin, China
| | - Mengli Sun
- College of Life Sciences, Nankai University, Tianjin, China
- Research Center for Tissue Repair and Regeneration Affiliated with the Medical Innovation Research Division and 4th Medical Center, PLA General Hospital and PLA Medical College, Beijing, China
| | - Wenhui Li
- College of Life Sciences, Nankai University, Tianjin, China
| | - Xing Liu
- College of Life Sciences, Nankai University, Tianjin, China
| | - Mengfan Zhu
- College of Life Sciences, Nankai University, Tianjin, China
| | - Hua Qin
- College of Life Sciences, Nankai University, Tianjin, China
- Research Center for Tissue Repair and Regeneration Affiliated with the Medical Innovation Research Division and 4th Medical Center, PLA General Hospital and PLA Medical College, Beijing, China
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10
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Want A, Staniak K, Grabowska-Pyrzewicz W, Fesiuk A, Barczak A, Gabryelewicz T, Kulczyńska-Przybik A, Mroczko B, Wojda U. Optimized RT-qPCR and a novel normalization method for validating circulating miRNA biomarkers in ageing-related diseases. Sci Rep 2023; 13:20869. [PMID: 38012217 PMCID: PMC10682428 DOI: 10.1038/s41598-023-47971-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 11/20/2023] [Indexed: 11/29/2023] Open
Abstract
Circulating miRNAs have potential as minimally invasive biomarkers for diagnosing various diseases, including ageing-related disorders such as Alzheimer's disease (AD). However, the lack of standardization in the common analysis method, RT-qPCR, and specifically in the normalization step, has resulted in inconsistent data across studies, hindering miRNA clinical implementation as well as basic research. To address this issue, this study proposes an optimized protocol for key steps in miRNA profiling, which incorporates absorbance-based haemolysis detection for assessing sample quality, double spike-in controls for miRNA isolation and reverse transcription, and the use of 7 stable normalizers verified in an aging population, including healthy subjects and individuals at different stages of Alzheimer's disease (140 subjects). The stability of these 7 normalizers was demonstrated using our novel method called BestmiRNorm for identifying optimal normalizers. BestmiRNorm, developed utilizing the Python programming language, enables the assessment of up to 11 potential normalizers. The standardized application of this optimized RT-qPCR protocol and the recommended normalizers are crucial for the development of miRNAs as biomarkers for AD and other ageing-related diseases in clinical diagnostics and basic research.
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Affiliation(s)
- Andrew Want
- Laboratory of Preclinical Testing of Higher Standard, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
| | - Karolina Staniak
- Laboratory of Preclinical Testing of Higher Standard, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
| | - Wioleta Grabowska-Pyrzewicz
- Laboratory of Preclinical Testing of Higher Standard, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
| | - Aleksandra Fesiuk
- Laboratory of Preclinical Testing of Higher Standard, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
| | - Anna Barczak
- Dementia Diseases Unit, Mossakowski Medical Research Institute, Polish Academy of Sciences, Warsaw, Poland
| | - Tomasz Gabryelewicz
- Dementia Diseases Unit, Mossakowski Medical Research Institute, Polish Academy of Sciences, Warsaw, Poland
| | - Agnieszka Kulczyńska-Przybik
- Department of Neurodegeneration Diagnostics, Faculty of Medicine, Medical University of Bialystok, Białystok, Poland
| | - Barbara Mroczko
- Department of Neurodegeneration Diagnostics, Faculty of Medicine, Medical University of Bialystok, Białystok, Poland
| | - Urszula Wojda
- Laboratory of Preclinical Testing of Higher Standard, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland.
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11
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Ramanan VK, Armstrong MJ, Choudhury P, Coerver KA, Hamilton RH, Klein BC, Wolk DA, Wessels SR, Jones LK. Antiamyloid Monoclonal Antibody Therapy for Alzheimer Disease: Emerging Issues in Neurology. Neurology 2023; 101:842-852. [PMID: 37495380 PMCID: PMC10663011 DOI: 10.1212/wnl.0000000000207757] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 06/30/2023] [Indexed: 07/28/2023] Open
Abstract
With recent data demonstrating that lecanemab treatment can slow cognitive and functional decline in early symptomatic Alzheimer disease (AD), it is widely anticipated that this drug and potentially other monoclonal antibody infusions targeting β-amyloid protein will imminently be realistic options for some patients with AD. Given that these new antiamyloid monoclonal antibodies (mAbs) are associated with nontrivial risks and burdens of treatment that are radically different from current mainstays of AD management, effectively and equitably translating their use to real-world clinical care will require systematic and practice-specific modifications to existing workflows and infrastructure. In this Emerging Issues in Neurology article, we provide practical guidance for a wide audience of neurology clinicians on logistic adaptations and decision making around emerging antiamyloid mAbs. Specifically, we briefly summarize the rationale and available evidence supporting antiamyloid mAb use in AD to facilitate appropriate communication with patients and care partners on potential benefits. We also discuss pragmatic approaches to optimizing patient selection and treatment monitoring, with a particular focus on the value of incorporating shared decision making and multidisciplinary collaboration. In addition, we review some of the recognized limitations of current knowledge and highlight areas of future evolution to guide the development of sustainable and flexible models for treatment and follow-up. As the field enters a new era with disease-modifying treatment options for AD, it will be critical for neurology practices to prepare and continually innovate to ensure optimal outcomes for patients.
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Affiliation(s)
- Vijay K Ramanan
- From the Department of Neurology (V.K.R., L.K.J.), Mayo Clinic, Rochester, MN; Department of Neurology (M.J.A.), University of Florida College of Medicine; Norman Fixel Institute for Neurologic Diseases (M.J.A.), University of Florida, Gainesville; Cleo Roberts Center (P.C.), Banner Sun Health Research Institute, Sun City, AZ; Rocky Mountain Neurology (K.C.), Lone Tree, CO; Department of Neurology (R.H.H., D.A.W.), Department of Physical Medicine and Rehabilitation (R.H.H.), and Department of Psychiatry (R.H.H.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Abington Neurological Associates (B.C.K.), Ltd., Abington, PA; and American Academy of Neurology (S.R.W.), Minneapolis, MN
| | - Melissa J Armstrong
- From the Department of Neurology (V.K.R., L.K.J.), Mayo Clinic, Rochester, MN; Department of Neurology (M.J.A.), University of Florida College of Medicine; Norman Fixel Institute for Neurologic Diseases (M.J.A.), University of Florida, Gainesville; Cleo Roberts Center (P.C.), Banner Sun Health Research Institute, Sun City, AZ; Rocky Mountain Neurology (K.C.), Lone Tree, CO; Department of Neurology (R.H.H., D.A.W.), Department of Physical Medicine and Rehabilitation (R.H.H.), and Department of Psychiatry (R.H.H.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Abington Neurological Associates (B.C.K.), Ltd., Abington, PA; and American Academy of Neurology (S.R.W.), Minneapolis, MN
| | - Parichita Choudhury
- From the Department of Neurology (V.K.R., L.K.J.), Mayo Clinic, Rochester, MN; Department of Neurology (M.J.A.), University of Florida College of Medicine; Norman Fixel Institute for Neurologic Diseases (M.J.A.), University of Florida, Gainesville; Cleo Roberts Center (P.C.), Banner Sun Health Research Institute, Sun City, AZ; Rocky Mountain Neurology (K.C.), Lone Tree, CO; Department of Neurology (R.H.H., D.A.W.), Department of Physical Medicine and Rehabilitation (R.H.H.), and Department of Psychiatry (R.H.H.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Abington Neurological Associates (B.C.K.), Ltd., Abington, PA; and American Academy of Neurology (S.R.W.), Minneapolis, MN
| | - Katherine A Coerver
- From the Department of Neurology (V.K.R., L.K.J.), Mayo Clinic, Rochester, MN; Department of Neurology (M.J.A.), University of Florida College of Medicine; Norman Fixel Institute for Neurologic Diseases (M.J.A.), University of Florida, Gainesville; Cleo Roberts Center (P.C.), Banner Sun Health Research Institute, Sun City, AZ; Rocky Mountain Neurology (K.C.), Lone Tree, CO; Department of Neurology (R.H.H., D.A.W.), Department of Physical Medicine and Rehabilitation (R.H.H.), and Department of Psychiatry (R.H.H.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Abington Neurological Associates (B.C.K.), Ltd., Abington, PA; and American Academy of Neurology (S.R.W.), Minneapolis, MN
| | - Roy H Hamilton
- From the Department of Neurology (V.K.R., L.K.J.), Mayo Clinic, Rochester, MN; Department of Neurology (M.J.A.), University of Florida College of Medicine; Norman Fixel Institute for Neurologic Diseases (M.J.A.), University of Florida, Gainesville; Cleo Roberts Center (P.C.), Banner Sun Health Research Institute, Sun City, AZ; Rocky Mountain Neurology (K.C.), Lone Tree, CO; Department of Neurology (R.H.H., D.A.W.), Department of Physical Medicine and Rehabilitation (R.H.H.), and Department of Psychiatry (R.H.H.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Abington Neurological Associates (B.C.K.), Ltd., Abington, PA; and American Academy of Neurology (S.R.W.), Minneapolis, MN
| | - Brad C Klein
- From the Department of Neurology (V.K.R., L.K.J.), Mayo Clinic, Rochester, MN; Department of Neurology (M.J.A.), University of Florida College of Medicine; Norman Fixel Institute for Neurologic Diseases (M.J.A.), University of Florida, Gainesville; Cleo Roberts Center (P.C.), Banner Sun Health Research Institute, Sun City, AZ; Rocky Mountain Neurology (K.C.), Lone Tree, CO; Department of Neurology (R.H.H., D.A.W.), Department of Physical Medicine and Rehabilitation (R.H.H.), and Department of Psychiatry (R.H.H.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Abington Neurological Associates (B.C.K.), Ltd., Abington, PA; and American Academy of Neurology (S.R.W.), Minneapolis, MN
| | - David A Wolk
- From the Department of Neurology (V.K.R., L.K.J.), Mayo Clinic, Rochester, MN; Department of Neurology (M.J.A.), University of Florida College of Medicine; Norman Fixel Institute for Neurologic Diseases (M.J.A.), University of Florida, Gainesville; Cleo Roberts Center (P.C.), Banner Sun Health Research Institute, Sun City, AZ; Rocky Mountain Neurology (K.C.), Lone Tree, CO; Department of Neurology (R.H.H., D.A.W.), Department of Physical Medicine and Rehabilitation (R.H.H.), and Department of Psychiatry (R.H.H.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Abington Neurological Associates (B.C.K.), Ltd., Abington, PA; and American Academy of Neurology (S.R.W.), Minneapolis, MN
| | - Scott R Wessels
- From the Department of Neurology (V.K.R., L.K.J.), Mayo Clinic, Rochester, MN; Department of Neurology (M.J.A.), University of Florida College of Medicine; Norman Fixel Institute for Neurologic Diseases (M.J.A.), University of Florida, Gainesville; Cleo Roberts Center (P.C.), Banner Sun Health Research Institute, Sun City, AZ; Rocky Mountain Neurology (K.C.), Lone Tree, CO; Department of Neurology (R.H.H., D.A.W.), Department of Physical Medicine and Rehabilitation (R.H.H.), and Department of Psychiatry (R.H.H.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Abington Neurological Associates (B.C.K.), Ltd., Abington, PA; and American Academy of Neurology (S.R.W.), Minneapolis, MN
| | - Lyell K Jones
- From the Department of Neurology (V.K.R., L.K.J.), Mayo Clinic, Rochester, MN; Department of Neurology (M.J.A.), University of Florida College of Medicine; Norman Fixel Institute for Neurologic Diseases (M.J.A.), University of Florida, Gainesville; Cleo Roberts Center (P.C.), Banner Sun Health Research Institute, Sun City, AZ; Rocky Mountain Neurology (K.C.), Lone Tree, CO; Department of Neurology (R.H.H., D.A.W.), Department of Physical Medicine and Rehabilitation (R.H.H.), and Department of Psychiatry (R.H.H.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Abington Neurological Associates (B.C.K.), Ltd., Abington, PA; and American Academy of Neurology (S.R.W.), Minneapolis, MN
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12
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Kang JH, Korecka M, Lee EB, Cousins KAQ, Tropea TF, Chen-Plotkin AA, Irwin DJ, Wolk D, Brylska M, Wan Y, Shaw LM. Alzheimer Disease Biomarkers: Moving from CSF to Plasma for Reliable Detection of Amyloid and tau Pathology. Clin Chem 2023; 69:1247-1259. [PMID: 37725909 PMCID: PMC10895336 DOI: 10.1093/clinchem/hvad139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 07/07/2023] [Indexed: 09/21/2023]
Abstract
BACKGROUND Development of validated biomarkers to detect early Alzheimer disease (AD) neuropathology is needed for therapeutic AD trials. Abnormal concentrations of "core" AD biomarkers, cerebrospinal fluid (CSF) amyloid beta1-42, total tau, and phosphorylated tau correlate well with neuroimaging biomarkers and autopsy findings. Nevertheless, given the limitations of established CSF and neuroimaging biomarkers, accelerated development of blood-based AD biomarkers is underway. CONTENT Here we describe the clinical significance of CSF and plasma AD biomarkers to detect disease pathology throughout the Alzheimer continuum and correlate with imaging biomarkers. Use of the AT(N) classification by CSF and imaging biomarkers provides a more objective biologically based diagnosis of AD than clinical diagnosis alone. Significant progress in measuring CSF AD biomarkers using extensively validated highly automated assay systems has facilitated their transition from research use only to approved in vitro diagnostics tests for clinical use. We summarize development of plasma AD biomarkers as screening tools for enrollment and monitoring participants in therapeutic trials and ultimately in clinical care. Finally, we discuss the challenges for AD biomarkers use in clinical trials and precision medicine, emphasizing the possible ethnocultural differences in the levels of AD biomarkers. SUMMARY CSF AD biomarker measurements using fully automated analytical platforms is possible. Building on this experience, validated blood-based biomarker tests are being implemented on highly automated immunoassay and mass spectrometry platforms. The progress made developing analytically and clinically validated plasma AD biomarkers within the AT(N) classification scheme can accelerate use of AD biomarkers in therapeutic trials and routine clinical practice.
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Affiliation(s)
- Ju Hee Kang
- Department of Pharmacology and Clinical Pharmacology, Research Center for Controlling Intercellular Communication, Inha University, Incheon, South Korea
| | - Magdalena Korecka
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Edward B Lee
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Katheryn A Q Cousins
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Thomas F Tropea
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Alice A Chen-Plotkin
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - David J Irwin
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - David Wolk
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Magdalena Brylska
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Yang Wan
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Leslie M Shaw
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
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13
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Maurer J, Grouzmann E, Eugster PJ. Tutorial review for peptide assays: An ounce of pre-analytics is worth a pound of cure. J Chromatogr B Analyt Technol Biomed Life Sci 2023; 1229:123904. [PMID: 37832388 DOI: 10.1016/j.jchromb.2023.123904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 10/04/2023] [Accepted: 10/05/2023] [Indexed: 10/15/2023]
Abstract
The recent increase in peptidomimetic-based medications and the growing interest in peptide hormones has brought new attention to the quantification of peptides for diagnostic purposes. Indeed, the circulating concentrations of peptide hormones in the blood provide a snapshot of the state of the body and could eventually lead to detecting a particular health condition. Although extremely useful, the quantification of such molecules, preferably by liquid chromatography coupled to mass spectrometry, might be quite tricky. First, peptides are subjected to hydrolysis, oxidation, and other post-translational modifications, and, most importantly, they are substrates of specific and nonspecific proteases in biological matrixes. All these events might continue after sampling, changing the peptide hormone concentrations. Second, because they include positively and negatively charged groups and hydrophilic and hydrophobic residues, they interact with their environment; these interactions might lead to a local change in the measured concentrations. A phenomenon such as nonspecific adsorption to lab glassware or materials has often a tremendous effect on the concentration and needs to be controlled with particular care. Finally, the circulating levels of peptides might be low (pico- or femtomolar range), increasing the impact of the aforementioned effects and inducing the need for highly sensitive instruments and well-optimized methods. Thus, despite the extreme diversity of these peptides and their matrixes, there is a common challenge for all the assays: the need to keep concentrations unchanged from sampling to analysis. While significant efforts are often placed on optimizing the analysis, few studies consider in depth the impact of pre-analytical steps on the results. By working through practical examples, this solution-oriented tutorial review addresses typical pre-analytical challenges encountered during the development of a peptide assay from the standpoint of a clinical laboratory. We provide tips and tricks to avoid pitfalls as well as strategies to guide all new developments. Our ultimate goal is to increase pre-analytical awareness to ensure that newly developed peptide assays produce robust and accurate results.
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Affiliation(s)
- Jonathan Maurer
- Service of Clinical Pharmacology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Eric Grouzmann
- Service of Clinical Pharmacology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Philippe J Eugster
- Service of Clinical Pharmacology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
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14
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Mansilla A, Canyelles M, Ferrer R, Arranz J, Rodríguez-Baz Í, Zhu N, Rubio-Guerra S, El Bounasri S, Sánchez O, Torres S, Fortea J, Lleó A, Alcolea D, Tondo M. Effects of storage conditions on the stability of blood-based markers for the diagnosis of Alzheimer's disease. Clin Chem Lab Med 2023; 61:1580-1589. [PMID: 37083158 DOI: 10.1515/cclm-2023-0245] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 04/12/2023] [Indexed: 04/22/2023]
Abstract
OBJECTIVES Alzheimer's disease (AD) is considered the most common cause of dementia in older people. Recently, blood-based markers (BBM) Aβ1-42, Aβ1-40, and phospho Tau181 (p-Tau181) have demonstrated the potential to transform the diagnosis and prognostic assessment of AD. Our aim was to investigate the effect of different storage conditions on the quantification of these BBM and to evaluate the interchangeability of plasma and serum samples. METHODS Forty-two individuals with some degree of cognitive impairment were studied. Thirty further patients were retrospectively selected. Aβ1-42, Aβ1-40, and p-Tau181 were quantified using the LUMIPULSE-G600II automated platform. To assess interchangeability between conditions, correction factors for magnitudes that showed strong correlations were calculated, followed by classification consistency studies. RESULTS Storing samples at 4 °C for 8-9 days was associated with a decrease in Aβ fractions but not when stored for 1-2 days. Using the ratio partially attenuated the pre-analytical effects. For p-Tau181, samples stored at 4 °C presented lower concentrations, whereas frozen samples presented higher ones. Concerning classification consistency in comparisons that revealed strong correlations (p-Tau181), the percentage of total agreement was greater than 90 % in a large number of the tested cut-offs values. CONCLUSIONS Our findings provide relevant information for the standardization of sample collection and storage in the analysis of AD BBM in an automated platform. This knowledge is crucial to ensure their introduction into clinical settings.
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Affiliation(s)
- Andrea Mansilla
- Department of Biochemistry, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB) Sant Pau, Barcelona, Spain
| | - Marina Canyelles
- Department of Biochemistry, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB) Sant Pau, Barcelona, Spain
- Centre of Biomedical Investigation Network for Diabetes and Metabolic Diseases (CIBERDEM), Madrid, Spain
| | - Rosa Ferrer
- Department of Biochemistry, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB) Sant Pau, Barcelona, Spain
| | - Javier Arranz
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB Sant Pau) Sant Pau, Barcelona, Spain
| | - Íñigo Rodríguez-Baz
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB Sant Pau) Sant Pau, Barcelona, Spain
| | - Nuole Zhu
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB Sant Pau) Sant Pau, Barcelona, Spain
| | - Sara Rubio-Guerra
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB Sant Pau) Sant Pau, Barcelona, Spain
| | - Shaimaa El Bounasri
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB Sant Pau) Sant Pau, Barcelona, Spain
| | - Oriol Sánchez
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB Sant Pau) Sant Pau, Barcelona, Spain
| | - Soraya Torres
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB Sant Pau) Sant Pau, Barcelona, Spain
| | - Juan Fortea
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB Sant Pau) Sant Pau, Barcelona, Spain
- Centre of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Alberto Lleó
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB Sant Pau) Sant Pau, Barcelona, Spain
- Centre of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Daniel Alcolea
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB Sant Pau) Sant Pau, Barcelona, Spain
- Centre of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Mireia Tondo
- Department of Biochemistry, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB) Sant Pau, Barcelona, Spain
- Centre of Biomedical Investigation Network for Diabetes and Metabolic Diseases (CIBERDEM), Madrid, Spain
- Comisión de Neuroquímica y Enfermedades Neurológicas, Sociedad Española de Medicina de Laboratorio, Barcelona, Spain
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15
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Pais MV, Forlenza OV, Diniz BS. Plasma Biomarkers of Alzheimer's Disease: A Review of Available Assays, Recent Developments, and Implications for Clinical Practice. J Alzheimers Dis Rep 2023; 7:355-380. [PMID: 37220625 PMCID: PMC10200198 DOI: 10.3233/adr-230029] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 04/03/2023] [Indexed: 05/25/2023] Open
Abstract
Recently, low-sensitive plasma assays have been replaced by new ultra-sensitive assays such as single molecule enzyme-linked immunosorbent assay (Simoa), the Mesoscale Discovery (MSD) platform, and immunoprecipitation-mass spectrometry (IP-MS) with higher accuracy in the determination of plasma biomarkers of Alzheimer's disease (AD). Despite the significant variability, many studies have established in-house cut-off values for the most promising available biomarkers. We first reviewed the most used laboratory methods and assays to measure plasma AD biomarkers. Next, we review studies focused on the diagnostic performance of these biomarkers to identify AD cases, predict cognitive decline in pre-clinical AD cases, and differentiate AD cases from other dementia. We summarized data from studies published until January 2023. A combination of plasma Aβ42/40 ratio, age, and APOE status showed the best accuracy in diagnosing brain amyloidosis with a liquid chromatography-mass spectrometry (LC-MS) assay. Plasma p-tau217 has shown the best accuracy in distinguishing Aβ-PET+ from Aβ-PET-even in cognitively unimpaired individuals. We also summarized the different cut-off values for each biomarker when available. Recently developed assays for plasma biomarkers have undeniable importance in AD research, with improved analytical and diagnostic performance. Some biomarkers have been extensively used in clinical trials and are now clinically available. Nonetheless, several challenges remain to their widespread use in clinical practice.
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Affiliation(s)
- Marcos V. Pais
- UConn Center on Aging, University of Connecticut Health Center, Farmington, CT, USA
- Laboratory of Neuroscience (LIM-27), Departamento e Instituto de Psiquiatria, Faculdade de Medicina, Universidade de Sao Paulo (FMUSP), Sao Paulo, SP, Brazil
| | - Orestes V. Forlenza
- Laboratory of Neuroscience (LIM-27), Departamento e Instituto de Psiquiatria, Faculdade de Medicina, Universidade de Sao Paulo (FMUSP), Sao Paulo, SP, Brazil
| | - Breno S. Diniz
- UConn Center on Aging, University of Connecticut Health Center, Farmington, CT, USA
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16
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Palmqvist S, Stomrud E, Cullen N, Janelidze S, Manuilova E, Jethwa A, Bittner T, Eichenlaub U, Suridjan I, Kollmorgen G, Riepe M, von Arnim CA, Tumani H, Hager K, Heidenreich F, Mattsson-Carlgren N, Zetterberg H, Blennow K, Hansson O. An accurate fully automated panel of plasma biomarkers for Alzheimer's disease. Alzheimers Dement 2023; 19:1204-1215. [PMID: 35950735 PMCID: PMC9918613 DOI: 10.1002/alz.12751] [Citation(s) in RCA: 47] [Impact Index Per Article: 47.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 05/27/2022] [Accepted: 06/10/2022] [Indexed: 12/23/2022]
Abstract
INTRODUCTION There is a great need for fully automated plasma assays that can measure amyloid beta (Aβ) pathology and predict future Alzheimer's disease (AD) dementia. METHODS Two cohorts (n = 920) were examined: Panel A+ (n = 32 cognitively unimpaired [CU], n = 106 mild cognitive impairment [MCI], and n = 89 AD) and BioFINDER-1 (n = 461 CU, n = 232 MCI). Plasma Aβ42/Aβ40, phosphorylated tau (p-tau)181, two p-tau217 variants, ApoE4 protein, neurofilament light, and GFAP were measured using Elecsys prototype immunoassays. RESULTS The best biomarker for discriminating Aβ-positive versus Aβ-negative participants was Aβ42/Aβ40 (are under the curve [AUC] 0.83-0.87). Combining Aβ42/Aβ40, p-tau181, and ApoE4 improved the AUCs significantly (0.90 to 0.93; P< 0.01). Adding additional biomarkers had marginal effects (ΔAUC ≤0.01). In BioFINDER, p-tau181, p-tau217, and ApoE4 predicted AD dementia within 6 years in CU (AUC 0.88) and p-tau181, p-tau217, and Aβ42/Aβ40 in MCI (AUC 0.87). DISCUSSION The high accuracies for Aβ pathology and future AD dementia using fully automated instruments are promising for implementing plasma biomarkers in clinical trials and clinical routine.
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Affiliation(s)
- Sebastian Palmqvist
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Erik Stomrud
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Nicholas Cullen
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Sweden
| | - Shorena Janelidze
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Sweden
| | | | | | | | | | | | | | - Matthias Riepe
- Division of Geriatric Psychiatry, Ulm University, Germany
| | - Christine A.F. von Arnim
- Division of Geriatrics, University Medical Center Göttingen, Georg-August-University, Goettingen, Germany
| | | | - Klaus Hager
- Institute for General Medicine and Palliative Medicine, Hannover Medical School, Germany
| | - Fedor Heidenreich
- Dept. of Neurology and Clinical Neurophysiology, Diakovere Krankenhaus Henriettenstift, Hannover, Germany
| | - Niklas Mattsson-Carlgren
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Sweden
- Wallenberg Center for Molecular Medicine, Lund University, Lund, Sweden
- Department of Neurology, Skåne University Hospital, Lund, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, United Kingdom
- UK Dementia Research Institute at UCL, London, United Kingdom
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
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17
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Advances in sample preparation and HPLC-MS/MS methods for determining amyloid-β peptide in biological samples: a review. Anal Bioanal Chem 2023:10.1007/s00216-023-04631-9. [PMID: 36877264 DOI: 10.1007/s00216-023-04631-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 01/28/2023] [Accepted: 02/23/2023] [Indexed: 03/07/2023]
Abstract
Alzheimer's disease (AD), a neurological disorder, is a major public health concern and the most common form of dementia. Its typical symptoms include memory loss, confusion, changes in personality, and cognitive impairment, which result in patients gradually losing independence. Over the last decades, some studies have focused on searching for effective biomarkers as early diagnostic indicators of AD. Amyloid-β (Aβ) peptides have been consolidated as reliable AD biomarkers and have been incorporated into modern diagnostic research criteria. However, quantitative analysis of Aβ peptides in biological samples remains a challenge because both the sample and the physical-chemical properties of these peptides are complex. During clinical routine, Aβ peptides are measured in the cerebrospinal fluid by immunoassays, but the availability of a specific antibody is critical-in some cases, an antibody may not exist, or its specificity may be inadequate, leading to low sensitivity and false results. HPLC-MS/MS has been reported as a sensitive and selective method for determining different fragments of Aβ peptides in biological samples simultaneously. Developments in sample preparation techniques (preconcentration platforms) such as immunoprecipitation, 96-well plate SPME, online SPME, and fiber-in-tube SPME have enabled not only effective enrichment of Aβ peptides present at trace levels in biological samples, but also efficient exclusion of interferents from the sample matrix (sample cleanup). This high extraction efficiency has provided MS platforms with higher sensitivity. Recently, methods affording LLOQ values as low as 5 pg mL-1 have been reported. Such low LLOQ values are adequate for quantifying Aβ peptides in complex matrixes including cerebrospinal fluid (CSF) and plasma samples. This review summarizes the advances in mass spectrometry (MS)-based methods for quantifying Aβ peptides and covers the period 1992-2022. Important considerations regarding the development of the HPLC-MS/MS method such as the sample preparation step, optimization of the HPLC-MS/MS parameters, and matrix effects are described. Clinical applications, difficulties related to analysis of plasma samples, and future trends of these MS/MS-based methods are also discussed.
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18
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Blennow K, Stomrud E, Zetterberg H, Borlinghaus N, Corradini V, Manuilova E, Müller-Hübner L, Quevenco FC, Rutz S, Hansson O. Second-generation Elecsys cerebrospinal fluid immunoassays aid diagnosis of early Alzheimer's disease. Clin Chem Lab Med 2023; 61:234-244. [PMID: 36282960 DOI: 10.1515/cclm-2022-0516] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 10/10/2022] [Indexed: 12/15/2022]
Abstract
OBJECTIVES Timely diagnosis of Alzheimer's disease (AD) is critical for appropriate treatment/patient management. Cerebrospinal fluid (CSF) biomarker analysis is often used to aid diagnosis. We assessed analytical performance of second-generation (Gen II) Elecsys® CSF immunoassays (Roche Diagnostics International Ltd), and adjusted existing cut-offs, to evaluate their potential utility in clinical routine. METHODS Analytical performance was assessed using CSF samples measured with Elecsys CSF Gen II immunoassays on cobas e analyzers. Aβ42 Gen I/Gen II immunoassay method comparisons were performed (Passing-Bablok regression). Cut-off values were adjusted using estimated bias in biomarker levels between BioFINDER protocol aliquots/Gen I immunoassays and Gen II protocol aliquots/immunoassays. Distribution of Gen II immunoassay values was evaluated in AD, mild cognitive impairment (MCI), and cognitively normal cohorts; percentage observations outside the measuring range were derived. RESULTS The Gen II immunoassays demonstrated good analytical performance, including repeatability, intermediate precision, lot-to-lot agreement (Pearson's r: ≥0.999), and platform agreement (Pearson's r: ≥0.995). Aβ42 Gen I/Gen II immunoassay measurements were strongly correlated (Pearson's r: 0.985-0.999). Aβ42 Gen II immunoassay cut-offs were adjusted to 1,030 and 800 ng/L, and pTau181/Aβ42 ratio cut-offs to 0.023 and 0.029, for Gen II and I protocols, respectively. No observations were below the lower limit of the measuring range; above the upper limit, there were none from the AD cohort, and 2.6 and 6.8% from the MCI and cognitively normal cohorts, respectively. CONCLUSIONS Our findings suggest that the Gen II immunoassays have potential utility in clinical routine to aid diagnosis of AD.
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Affiliation(s)
- Kaj Blennow
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Erik Stomrud
- Department of Clinical Sciences Malmö, Clinical Memory Research Unit, Lund University, Malmö, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Disease, Shatin, N.T., Hong Kong, P.R. China
| | | | | | | | | | | | | | - Oskar Hansson
- Department of Clinical Sciences Malmö, Clinical Memory Research Unit, Lund University, Malmö, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
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19
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Leuzy A, Mattsson-Carlgren N, Cullen NC, Stomrud E, Palmqvist S, La Joie R, Iaccarino L, Zetterberg H, Rabinovici G, Blennow K, Janelidze S, Hansson O. Robustness of CSF Aβ42/40 and Aβ42/P-tau181 measured using fully automated immunoassays to detect AD-related outcomes. Alzheimers Dement 2023. [PMID: 36681387 DOI: 10.1002/alz.12897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 10/26/2022] [Accepted: 11/10/2022] [Indexed: 01/23/2023]
Abstract
INTRODUCTION This study investigated the comparability of cerebrospinal fluid (CSF) cutoffs for Elecsys immunoassays for amyloid beta (Aβ)42/Aβ40 or Aβ42/phosphorylated tau (p-tau)181 and the effects of measurement variability when predicting Alzheimer's disease (AD)-related outcomes (i.e., Aβ-positron emission tomography [PET] visual read and AD neuropathology). METHODS We studied 750 participants (BioFINDER study, Alzheimer's Disease Neuroimaging Initiative [ADNI], and University of California San Francisco [UCSF]). Youden's index was used to identify cutoffs and to calculate accuracy (Aβ-PET visual read as outcome). Using longitudinal variability in Aβ-negative controls, we identified a gray zone around cut-points where the risk of an inconsistent predicted outcome was >5%. RESULTS For Aβ42/Aβ40, cutoffs across cohorts were <0.059 (BioFINDER), <0.057 (ADNI), and <0.058 (UCSF). For Aβ42/p-tau181, cutoffs were <41.90 (BioFINDER), <39.20 (ADNI), and <46.02 (UCSF). Accuracy was ≈90% for both Aβ42/Aβ40 and Aβ42/p-tau181 using these cutoffs. Using Aβ-PET as an outcome, 8.7% of participants fell within a gray zone interval for Aβ42/Aβ40, compared to 4.5% for Aβ42/p-tau181. Similar findings were observed using a measure of overall AD neuropathologic change (7.7% vs. 3.3%). In a subset with CSF and plasma Aβ42/40, the number of individuals within the gray zone was ≈1.5 to 3 times greater when using plasma Aβ42/40. DISCUSSION CSF Aβ42/p-tau181 was more robust to the effects of measurement variability, suggesting that it may be the preferred Elecsys-based measure in clinical practice and trials.
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Affiliation(s)
- Antoine Leuzy
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Niklas Mattsson-Carlgren
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden.,Department of Neurology, Skåne University Hospital, Lund, Sweden.,Wallenberg Center for Molecular Medicine, Lund University, Lund, Sweden
| | - Nicholas C Cullen
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Erik Stomrud
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden.,Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Sebastian Palmqvist
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden.,Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Renaud La Joie
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California, USA
| | - Leonardo Iaccarino
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California, USA
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK.,UK Dementia Research Institute at UCL, London, UK.,Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | - Gil Rabinovici
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California, USA.,Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA.,Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, California, USA.,Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Shorena Janelidze
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden.,Memory Clinic, Skåne University Hospital, Malmö, Sweden
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20
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Hansson O, Edelmayer RM, Boxer AL, Carrillo MC, Mielke MM, Rabinovici GD, Salloway S, Sperling R, Zetterberg H, Teunissen CE. The Alzheimer's Association appropriate use recommendations for blood biomarkers in Alzheimer's disease. Alzheimers Dement 2022; 18:2669-2686. [PMID: 35908251 PMCID: PMC10087669 DOI: 10.1002/alz.12756] [Citation(s) in RCA: 146] [Impact Index Per Article: 73.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 06/28/2022] [Accepted: 07/08/2022] [Indexed: 01/31/2023]
Abstract
Blood-based markers (BBMs) have recently shown promise to revolutionize the diagnostic and prognostic work-up of Alzheimer's disease (AD), as well as to improve the design of interventional trials. Here we discuss in detail further research needed to be performed before widespread use of BBMs. We already now recommend use of BBMs as (pre-)screeners to identify individuals likely to have AD pathological changes for inclusion in trials evaluating disease-modifying therapies, provided the AD status is confirmed with positron emission tomography (PET) or cerebrospinal fluid (CSF) testing. We also encourage studying longitudinal BBM changes in ongoing as well as future interventional trials. However, BBMs should not yet be used as primary endpoints in pivotal trials. Further, we recommend to cautiously start using BBMs in specialized memory clinics as part of the diagnostic work-up of patients with cognitive symptoms and the results should be confirmed whenever possible with CSF or PET. Additional data are needed before use of BBMs as stand-alone diagnostic AD markers, or before considering use in primary care.
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Affiliation(s)
- Oskar Hansson
- ClinicalMemory Research UnitDepartment of Clinical Sciences MalmöLund UniversityMalmöSweden
- Memory ClinicSkåne University HospitalMalmöSweden
| | | | - Adam L. Boxer
- Department of NeurologyUniversity of California San FranciscoMemory and Aging CenterSan FranciscoCaliforniaUSA
| | | | - Michelle M. Mielke
- Department of Epidemiology and PreventionWake Forest University School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Gil D. Rabinovici
- Department of NeurologyUniversity of California San FranciscoMemory and Aging CenterSan FranciscoCaliforniaUSA
| | - Stephen Salloway
- Departments of Neurology and PsychiatryAlpert Medical School of Brown UniversityProvidenceRhode IslandUSA
| | - Reisa Sperling
- Centerfor Alzheimer Research and TreatmentBrigham and Women's Hospital, Massachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Henrik Zetterberg
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska Academy at the University of GothenburgMölndalSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
- Department of Neurodegenerative DiseaseUCL Institute of NeurologyQueen SquareLondonUK
- UK Dementia Research Institute at UCLLondonUK
- Hong Kong Center for Neurodegenerative DiseasesClear Water BayHong KongPeople's Republic of China
| | - Charlotte E. Teunissen
- NeurochemistryLaboratoryDepartment of Clinical ChemistryAmsterdam University Medical CentersVrije UniversiteitAmsterdam NeuroscienceAmsterdamthe Netherlands
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21
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Nojima H, Ito S, Kushida A, Abe A, Motsuchi W, Verbel D, Vandijck M, Jannes G, Vandenbroucke I, Aoyagi K. Clinical utility of cerebrospinal fluid biomarkers measured by LUMIPULSE ® system. Ann Clin Transl Neurol 2022; 9:1898-1909. [PMID: 36321325 PMCID: PMC9735374 DOI: 10.1002/acn3.51681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 10/03/2022] [Accepted: 10/10/2022] [Indexed: 11/06/2022] Open
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.
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Affiliation(s)
- Hisashi Nojima
- FUJIREBIO Inc.2‐1‐1, Nishishinjuku, Shinjuku‐kuTokyo163‐0410Japan
| | - Satoshi Ito
- Eisai Co., Ltd. 4‐6‐10 KoishikawaBunkyo‐kuTokyo112‐8088Japan,Eisai Inc.200 Metro BoulevardNutleyNew Jersey07110USA
| | - Akira Kushida
- FUJIREBIO Inc.2‐1‐1, Nishishinjuku, Shinjuku‐kuTokyo163‐0410Japan
| | - Aki Abe
- FUJIREBIO Inc.2‐1‐1, Nishishinjuku, Shinjuku‐kuTokyo163‐0410Japan
| | - Wataru Motsuchi
- FUJIREBIO Inc.2‐1‐1, Nishishinjuku, Shinjuku‐kuTokyo163‐0410Japan
| | - David Verbel
- Eisai Inc.200 Metro BoulevardNutleyNew Jersey07110USA
| | - Manu Vandijck
- Fujirebio‐Europe N.V.Technologiepark 69052GhentBelgium
| | - Geert Jannes
- Fujirebio‐Europe N.V.Technologiepark 69052GhentBelgium
| | | | - Katsumi Aoyagi
- FUJIREBIO Inc.2‐1‐1, Nishishinjuku, Shinjuku‐kuTokyo163‐0410Japan
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22
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Delaby C, Teunissen CE, Blennow K, Alcolea D, Arisi I, Amar EB, Beaume A, Bedel A, Bellomo G, Bigot‐Corbel E, Bjerke M, Blanc‐Quintin M, Boada M, Bousiges O, Chapman MD, DeMarco ML, D'Onofrio M, Dumurgier J, Dufour‐Rainfray D, Engelborghs S, Esselmann H, Fogli A, Gabelle A, Galloni E, Gondolf C, Grandhomme F, Grau‐Rivera O, Hart M, Ikeuchi T, Jeromin A, Kasuga K, Keshavan A, Khalil M, Körtvelyessy P, Kulczynska‐Przybik A, Laplanche J, Lewczuk P, Li Q, Lleó A, Malaplate C, Marquié M, Masters CL, Mroczko B, Nogueira L, Orellana A, Otto M, Oudart J, Paquet C, Paoletti FP, Parnetti L, Perret‐Liaudet A, Peoc'h K, Poesen K, Puig‐Pijoan A, Quadrio I, Quillard‐Muraine M, Rucheton B, Schraen S, Schott JM, Shaw LM, Suárez‐Calvet M, Tsolaki M, Tumani H, Udeh‐Momoh CT, Vaudran L, Verbeek MM, Verde F, Vermunt L, Vogelgsang J, Wiltfang J, Zetterberg H, Lehmann S. Clinical reporting following the quantification of cerebrospinal fluid biomarkers in Alzheimer's disease: An international overview. Alzheimers Dement 2022; 18:1868-1879. [PMID: 34936194 PMCID: PMC9787404 DOI: 10.1002/alz.12545] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 10/11/2021] [Accepted: 10/25/2021] [Indexed: 01/28/2023]
Abstract
INTRODUCTION The current practice of quantifying cerebrospinal fluid (CSF) biomarkers as an aid in the diagnosis of Alzheimer's disease (AD) varies from center to center. For a same biochemical profile, interpretation and reporting of results may differ, which can lead to misunderstandings and raises questions about the commutability of tests. METHODS We obtained a description of (pre-)analytical protocols and sample reports from 40 centers worldwide. A consensus approach allowed us to propose harmonized comments corresponding to the different CSF biomarker profiles observed in patients. RESULTS The (pre-)analytical procedures were similar between centers. There was considerable heterogeneity in cutoff definitions and report comments. We therefore identified and selected by consensus the most accurate and informative comments regarding the interpretation of CSF biomarkers in the context of AD diagnosis. DISCUSSION This is the first time that harmonized reports are proposed across worldwide specialized laboratories involved in the biochemical diagnosis of AD.
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Affiliation(s)
- Constance Delaby
- LBPC‐PPCUniv MontpellierCHU MontpellierINSERMMontpellierFrance,Hospital de la Santa Creu i Sant Pau ‐ Biomedical Research Institute Sant Pau ‐ Universitat Autònoma de BarcelonaBarcelonaSpain
| | - Charlotte E. Teunissen
- Neurochemistry LabDepartment of Clinical ChemistryAmsterdam NeuroscienceAmsterdam UMCVrije Universiteit AmsterdamAmsterdamNetherlands
| | - Kaj Blennow
- Institute of Neuroscience and PhysiologyThe Sahlgrenska Academy at the University of GothenburgGothenburgSweden
| | - Daniel Alcolea
- Hospital de la Santa Creu i Sant Pau ‐ Biomedical Research Institute Sant Pau ‐ Universitat Autònoma de BarcelonaBarcelonaSpain
| | - Ivan Arisi
- European Brain Research Institute (EBRI) “Rita Levi‐Montalcini”RomaItaly
| | - Elodie Bouaziz Amar
- Université de ParisCognitive Neurology CenterGHU APHP Nord Lariboisière Fernand‐Widal HospitalParisFrance
| | | | | | - Giovanni Bellomo
- Lab of Clinical NeurochemistrySection of NeurologyDept. of Medicine and SurgeryUniversity of PerugiaPerugiaItaly
| | | | - Maria Bjerke
- Vrije Universiteit BrusselCenter for Neurosciences and Department of Clinical BiologyClinical Neurochemistry LaboratoryUniversitair Ziekenhuis BrusselBrusselsBelgium,Department of Biomedical Sciences, Institute Born‐BungeUniversity of AntwerpAntwerpBelgium
| | | | - Mercè Boada
- Research Center and Memory ClinicFundació ACEInstitut Català de Neurociències Aplicades and Universitat Internacional de Catalunya (UIC)BarcelonaSpain,Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)Instituto de Salud Carlos IIIMadridSpain
| | - Olivier Bousiges
- Laboratoire de Biochimie et Biologie Moléculaire, et CNRSICube Laboratory UMR 7357 and FMTS (Fédération de Médecine Translationnelle de Strasbourg)Team IMISHôpitaux Universitaires de StrasbourgStrasbourgFrance
| | - Miles D Chapman
- Department of NeuroimmunologyNational Hospital for Neurology and Neurosurgery, UCL Queen SquareLondonUK
| | - Mari L. DeMarco
- Department of Pathology and Laboratory MedicineSt. Paul's Hospital, Providence Health Care, Vancouver, Canada & Department of Pathology & Laboratory MedicineUniversity of British ColumbiaVancouverCanada
| | - Mara D'Onofrio
- European Brain Research Institute (EBRI) “Rita Levi‐Montalcini”RomaItaly
| | - Julien Dumurgier
- Université de ParisCognitive Neurology CenterGHU APHP Nord Lariboisière Fernand‐Widal HospitalParisFrance
| | | | - Sebastiaan Engelborghs
- Department of Biomedical Sciences, Institute Born‐BungeUniversity of AntwerpAntwerpBelgium,Vrije Universiteit BrusselUniversitair Ziekenhuis BrusselCenter for Neurosciences and Department of NeurologyBrusselsBelgium
| | - Hermann Esselmann
- Department of Psychiatry and PsychotherapyUniversity Medical Center Goettingen (UMGGoettingenGermany
| | - Anne Fogli
- CHU Clermont‐FerrandClermont‐FerrandFrance
| | - Audrey Gabelle
- LBPC‐PPCUniv MontpellierCHU MontpellierINSERMMontpellierFrance
| | | | | | | | - Oriol Grau‐Rivera
- Barcelonaβeta Brain Research Center (BBRC)Pasqual Maragall FoundationBarcelonaSpain,Servei de NeurologiaHospital del MarUnitat de deteriorament cognitiu i transtorns del movimentBarcelonaSpain,IMIM (Hospital del Mar Medical Research Institute)BarcelonaSpain,Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES)MadridSpain
| | - Melanie Hart
- Department of NeuroimmunologyNational Hospital for Neurology and Neurosurgery, UCL Queen SquareLondonUK
| | - Takeshi Ikeuchi
- Dept. of Molecular GeneticsCenter for BioresourcesBrain Research InstituteNiigata UniversityNiigataJapan
| | | | - Kensaku Kasuga
- Dept. of Molecular GeneticsCenter for BioresourcesBrain Research InstituteNiigata UniversityNiigataJapan
| | - Ashvini Keshavan
- Dementia Research CentreUCL Queen Square Institute of NeurologyLondonUK
| | | | - Peter Körtvelyessy
- Freie Universität Berlin and Humboldt‐Universität zu BerlinDepartment of NeurologyGerman Center for Neurodegenerative Diseases, Magdeburg, Germany and Charité‐Universitäts medizin BerlinBerlinGermany
| | | | - Jean‐Louis Laplanche
- Université de ParisCognitive Neurology CenterGHU APHP Nord Lariboisière Fernand‐Widal HospitalParisFrance
| | - Piotr Lewczuk
- Department of Neurodegeneration DiagnosticsMedical University of BialystokBialystokPoland,Lab for Clinical Neurochemistry and Neurochemical Dementia DiagnosticsUniversitätsklinikum Erlangen and Friedrich‐Alexander Universität Erlangen‐NürnbergErlangenGermany
| | - Qiao‐Xin Li
- Florey Institute and The University of MelbourneMelbourneVictoriaAustralia
| | - Alberto Lleó
- Hospital de la Santa Creu i Sant Pau ‐ Biomedical Research Institute Sant Pau ‐ Universitat Autònoma de BarcelonaBarcelonaSpain
| | - Catherine Malaplate
- CHRU de NancyLaboratoire de BiochimieBiologie Moléculaire et Nutrition/ Université de LorraineNancyFrance
| | - Marta Marquié
- Research Center and Memory ClinicFundació ACEInstitut Català de Neurociències Aplicades and Universitat Internacional de Catalunya (UIC)BarcelonaSpain,Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)Instituto de Salud Carlos IIIMadridSpain
| | - Colin L. Masters
- Florey Institute and The University of MelbourneMelbourneVictoriaAustralia
| | - Barbara Mroczko
- Department of Neurodegeneration DiagnosticsMedical University of BialystokBialystokPoland
| | - Léonor Nogueira
- Laboratoire de Biologie Cellulaire et CytologieCHU PURPANToulouseFrance
| | - Adelina Orellana
- Research Center and Memory ClinicFundació ACEInstitut Català de Neurociències Aplicades and Universitat Internacional de Catalunya (UIC)BarcelonaSpain,Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)Instituto de Salud Carlos IIIMadridSpain
| | - Markus Otto
- Department of Neurology and CSF LaboratoryUniversity of UlmUlmGermany
| | | | - Claire Paquet
- Université de ParisCognitive Neurology CenterGHU APHP Nord Lariboisière Fernand‐Widal HospitalParisFrance
| | - Federico Paolini Paoletti
- Lab of Clinical NeurochemistrySection of NeurologyDept. of Medicine and SurgeryUniversity of PerugiaPerugiaItaly
| | - Lucilla Parnetti
- Lab of Clinical NeurochemistrySection of NeurologyDept. of Medicine and SurgeryUniversity of PerugiaPerugiaItaly
| | - Armand Perret‐Liaudet
- Lyon Neuroscience Research Center BIORAN Team ‐ CNRS UMR 5292INSERM U1028Lyon University HospitalLyonFrance
| | - Katell Peoc'h
- Université de Paris GHU APHP Nord Beaujon HospitalParisFrance
| | - Koen Poesen
- Laboratory for Molecular Neurobiomarker Research (LaMoN)Department of NeurosciencesKU LeuvenLeuven Brain InstituteLeuvenBelgium
| | - Albert Puig‐Pijoan
- Servei de NeurologiaHospital del MarUnitat de deteriorament cognitiu i transtorns del movimentBarcelonaSpain,IMIM (Hospital del Mar Medical Research Institute)BarcelonaSpain
| | - Isabelle Quadrio
- Lyon Neuroscience Research Center BIORAN Team ‐ CNRS UMR 5292INSERM U1028Lyon University HospitalLyonFrance
| | - Muriel Quillard‐Muraine
- UNIROUENRouen University HospitalDepartment of Clinical biologyBiochemistry laboratoryNormandie UnivRouenFrance
| | | | - Susanna Schraen
- InsermCHU LilleU1172‐LilNCogLICENDLabEx DISTALZUniversité de LilleLilleFrance
| | | | - Leslie M. Shaw
- Department of Pathology and Laboratory Medicine HospitalUniversity of PennsylvaniaPennsylvaniaUSA
| | - Marc Suárez‐Calvet
- Barcelonaβeta Brain Research Center (BBRC)Pasqual Maragall FoundationBarcelonaSpain,Servei de NeurologiaHospital del MarUnitat de deteriorament cognitiu i transtorns del movimentBarcelonaSpain,IMIM (Hospital del Mar Medical Research Institute)BarcelonaSpain,Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES)MadridSpain
| | - Magda Tsolaki
- 1st Department of NeurologySchool of MedicineFaculty of Health of SciencesAristotle University of ThessalonikiThessalonikiGreece
| | - Hayrettin Tumani
- Department of Neurology and CSF LaboratoryUniversity of UlmUlmGermany
| | | | | | - Marcel M Verbeek
- Donders Institute for Brain, Cognition and BehaviourRadboud Alzheimer CentreDepartments of Neurology and Laboratory MedicineRadboud University Medical CenterNijmegenThe Netherlands
| | - Federico Verde
- Department of Neurology ‐ Stroke Unit and Laboratory of NeuroscienceIRCCS Istituto Auxologico ItalianoMilanItaly,Department of Pathophysiology and Transplantation“Dino Ferrari” Center, Università degli Studi di MilanoMilanItaly
| | - Lisa Vermunt
- Neurochemistry LabDepartment of Clinical ChemistryAmsterdam NeuroscienceAmsterdam UMCVrije Universiteit AmsterdamAmsterdamNetherlands
| | - Jonathan Vogelgsang
- Department of Psychiatry and PsychotherapyUniversity Medical Center Goettingen (UMGGoettingenGermany,McLean HospitalTranslational Neuroscience LaboratoryHarvard Medical SchoolBelmontMassachusettsUSA
| | - Jens Wiltfang
- Department of Psychiatry and PsychotherapyUniversity Medical Center Goettingen (UMGGoettingenGermany,German Center for Neurodegenerative Diseases (DZNE)GoettingenGermany,Neurosciences and Signaling GroupInstitute of Biomedicine (iBiMED)Department of Medical SciencesUniversity of AveiroAveiroPortugal
| | - Henrik Zetterberg
- Institute of Neuroscience and PhysiologyThe Sahlgrenska Academy at the University of GothenburgGothenburgSweden,Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden,UK Dementia Research Institute at UCLLondonUK,Department of Neurodegenerative DiseaseUCL Institute of NeurologyLondonUK
| | - Sylvain Lehmann
- LBPC‐PPCUniv MontpellierCHU MontpellierINSERMMontpellierFrance
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23
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Yu X, Srivastava S, Huang S, Hayden EY, Teplow DB, Xie YH. The Feasibility of Early Alzheimer’s Disease Diagnosis Using a Neural Network Hybrid Platform. BIOSENSORS 2022; 12:bios12090753. [PMID: 36140138 PMCID: PMC9496690 DOI: 10.3390/bios12090753] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 09/03/2022] [Accepted: 09/10/2022] [Indexed: 11/18/2022]
Abstract
Early diagnosis of Alzheimer’s Disease (AD) is critical for disease prevention and cure. However, currently, techniques with the required high sensitivity and specificity are lacking. Recently, with the advances and increased accessibility of data analysis tools, such as machine learning, research efforts have increasingly focused on using these computational methods to solve this challenge. Here, we demonstrate a convolutional neural network (CNN)-based AD diagnosis approach using the surface-enhanced Raman spectroscopy (SERS) fingerprints of human cerebrospinal fluid (CSF). SERS and CNN were combined for biomarker detection to analyze disease-associated biochemical changes in the CSF. We achieved very high reproducibility in double-blind experiments for testing the feasibility of our system on human samples. We achieved an overall accuracy of 92% (100% for normal individuals and 88.9% for AD individuals) based on the clinical diagnosis. Further, we observed an excellent correlation coefficient between our test score and the Clinical Dementia Rating (CDR) score. Our findings offer a substantial indication of the feasibility of detecting AD biomarkers using the innovative combination of SERS and machine learning. We are hoping that this will serve as an incentive for future research in the field.
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Affiliation(s)
- Xinke Yu
- Department of Materials Science and Engineering, University of California, Los Angeles, CA 90095, USA
| | - Siddharth Srivastava
- Department of Materials Science and Engineering, University of California, Los Angeles, CA 90095, USA
- Correspondence:
| | - Shan Huang
- Department of Materials Science and Engineering, University of California, Los Angeles, CA 90095, USA
| | - Eric Y. Hayden
- Department of Neurology, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA 90095, USA
| | - David B. Teplow
- Department of Neurology, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA 90095, USA
| | - Ya-Hong Xie
- Department of Materials Science and Engineering, University of California, Los Angeles, CA 90095, USA
- Jonsson Comprehensive Cancer Center, University of California, Los Angeles, CA 90095, USA
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24
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Dulewicz M, Kulczyńska-Przybik A, Mroczko P, Kornhuber J, Lewczuk P, Mroczko B. Biomarkers for the Diagnosis of Alzheimer’s Disease in Clinical Practice: The Role of CSF Biomarkers during the Evolution of Diagnostic Criteria. Int J Mol Sci 2022; 23:ijms23158598. [PMID: 35955728 PMCID: PMC9369334 DOI: 10.3390/ijms23158598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 07/30/2022] [Accepted: 07/30/2022] [Indexed: 11/16/2022] Open
Abstract
Alzheimer’s disease (AD) is a progressive condition and the most common cause of dementia worldwide. The neuropathological changes characteristic of the disorder can be successfully detected before the development of full-blown AD. Early diagnosis of the disease constitutes a formidable challenge for clinicians. CSF biomarkers are the in vivo evidence of neuropathological changes developing in the brain of dementia patients. Therefore, measurement of their concentrations allows for improved accuracy of clinical diagnosis. Moreover, AD biomarkers may provide an indication of disease stage. Importantly, the CSF biomarkers of AD play a pivotal role in the new diagnostic criteria for the disease, and in the recent biological definition of AD by the National Institute on Aging, NIH and Alzheimer’s Association. Due to the necessity of collecting CSF by lumbar puncture, the procedure seems to be an important issue not only from a medical, but also a legal, viewpoint. Furthermore, recent technological advances may contribute to the automation of AD biomarkers measurement and may result in the establishment of unified cut-off values and reference limits. Moreover, a group of international experts in the field of AD biomarkers have developed a consensus and guidelines on the interpretation of CSF biomarkers in the context of AD diagnosis. Thus, technological advancement and expert recommendations may contribute to a more widespread use of these diagnostic tests in clinical practice to support a diagnosis of mild cognitive impairment (MCI) or dementia due to AD. This review article presents up-to-date data regarding the usefulness of CSF biomarkers in routine clinical practice and in biomarkers research.
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Affiliation(s)
- Maciej Dulewicz
- Department of Neurodegeneration Diagnostics, Medical University of Bialystok, 15-269 Bialystok, Poland; (A.K.-P.); (P.L.); (B.M.)
- Correspondence:
| | - Agnieszka Kulczyńska-Przybik
- Department of Neurodegeneration Diagnostics, Medical University of Bialystok, 15-269 Bialystok, Poland; (A.K.-P.); (P.L.); (B.M.)
| | - Piotr Mroczko
- Department of Criminal Law and Criminology, Faculty of Law, University of Bialystok, 15-213 Bialystok, Poland;
| | - Johannes Kornhuber
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen and Friedrich-Alexander Universität Erlangen-Nürnberg, 91054 Erlangen, Germany;
| | - Piotr Lewczuk
- Department of Neurodegeneration Diagnostics, Medical University of Bialystok, 15-269 Bialystok, Poland; (A.K.-P.); (P.L.); (B.M.)
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen and Friedrich-Alexander Universität Erlangen-Nürnberg, 91054 Erlangen, Germany;
| | - Barbara Mroczko
- Department of Neurodegeneration Diagnostics, Medical University of Bialystok, 15-269 Bialystok, Poland; (A.K.-P.); (P.L.); (B.M.)
- Department of Biochemical Diagnostics, Medical University of Bialystok, 15-269 Bialystok, Poland
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25
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van der Hoeven AE, van Waaij K, Bijlenga D, Roelandse FWC, Overeem S, Bakker JA, Fronczek R, Lammers GJ. Hypocretin-1 measurements in cerebrospinal fluid using radioimmunoassay: within and between assay reliability and limit of quantification. Sleep 2022; 45:6581446. [PMID: 35512685 PMCID: PMC9272241 DOI: 10.1093/sleep/zsac103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 03/30/2022] [Indexed: 11/23/2022] Open
Abstract
Study Objectives The most sensitive and specific investigative method for the diagnosis of narcolepsy type 1 (NT1) is the determination of hypocretin-1 (orexin-A) deficiency (≤110 pg/mL) in cerebrospinal fluid using a radioimmunoassay (RIA). We aimed to assess the reliability of the Phoenix Pharmaceuticals hypocretin-1 RIA, by determining the lower limit of quantification (LLOQ), the variability around the cutoff of 110 pg/mL, and the inter- and intra-assay variability. Methods Raw data of 80 consecutive hypocretin-1 RIAs were used to estimate the intra- and inter-assay coefficient of variation (CV). The LLOQ was established and defined as the lowest converted concentration with a CV <25%; the conversion is performed using a harmonization sample which is internationally used to minimize variation between RIAs. Results The mean intra-assay CV was 4.7%, while the unconverted inter-assay CV was 28.3% (18.5% excluding 2 outliers) and 7.5% when converted to international values. The LLOQ was determined as 27.9 pg/mL. The intra-assay CV of RIAs with lower specific radioactive activity showed a median of 5.6% (n = 41, range 1.6%–17.0%), which was significantly higher than in RIAs with higher specific activity (n = 36; median 3.2%, range 0.4%–11.6%, p = .013). The CV around the 110 pg/mL cutoff was <7%. Conclusions Hypocretin-1 RIAs should always be harmonized using standard reference material. The specific activity of an RIA has a significant impact on its reliability, because of the decay of 125I radioactivity. Values around the hypocretin-1 cut-off can reliably be measured. Hypocretin-1 concentrations below 28 pg/mL should be reported as “undetectable” when measured with the Phoenix Pharmaceuticals RIA. Clinical Trial Information This study is not registered in a clinical trial register, as it has a retrospective database design
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Affiliation(s)
- Adrienne Elisabeth van der Hoeven
- Department of Neurology, Leiden University Medical Center , Leiden , the Netherlands
- Sleep-Wake Center, Stichting Epilepsie Instellingen Nederland (SEIN) , Heemstede , the Netherlands
| | - Kevin van Waaij
- Department of Neurology, Leiden University Medical Center , Leiden , the Netherlands
| | - Denise Bijlenga
- Department of Neurology, Leiden University Medical Center , Leiden , the Netherlands
- Sleep-Wake Center, Stichting Epilepsie Instellingen Nederland (SEIN) , Heemstede , the Netherlands
| | | | | | - Jaap Adriaan Bakker
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center , Leiden , the Netherlands
| | - Rolf Fronczek
- Department of Neurology, Leiden University Medical Center , Leiden , the Netherlands
- Sleep-Wake Center, Stichting Epilepsie Instellingen Nederland (SEIN) , Heemstede , the Netherlands
| | - Gert Jan Lammers
- Department of Neurology, Leiden University Medical Center , Leiden , the Netherlands
- Sleep-Wake Center, Stichting Epilepsie Instellingen Nederland (SEIN) , Heemstede , the Netherlands
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26
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Hall S, Orrù CD, Serrano GE, Galasko D, Hughson AG, Groveman BR, Adler CH, Beach TG, Caughey B, Hansson O. Performance of αSynuclein RT-QuIC in relation to neuropathological staging of Lewy body disease. Acta Neuropathol Commun 2022; 10:90. [PMID: 35733234 PMCID: PMC9219141 DOI: 10.1186/s40478-022-01388-7] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 05/27/2022] [Indexed: 11/21/2022] Open
Abstract
Currently, there is a need for diagnostic markers in Lewy body disorders (LBD). α-synuclein (αSyn) RT-QuIC has emerged as a promising assay to detect misfolded αSyn in clinically or neuropathologically established patients with various synucleinopathies. In this study, αSyn RT-QuIC was used to analyze lumbar CSF in a clinical cohort from the Swedish BioFINDER study and postmortem ventricular CSF in a neuropathological cohort from the Arizona Study of Aging and Neurodegenerative Disorders/Brain and Body Donation Program (AZSAND/BBDP). The BioFINDER cohort included 64 PD/PDD, 15 MSA, 15 PSP, 47 controls and two controls who later converted to PD/DLB. The neuropathological cohort included 101 cases with different brain disorders, including LBD and controls. In the BioFINDER cohort αSyn RT-QuIC identified LBD (i.e. PD, PDD and converters) vs. controls with a sensitivity of 95% and a specificity of 83%. The two controls that converted to LBD were αSyn RT-QuIC positive. Within the AZSAND/BBDP cohort, αSyn RT-QuIC identified neuropathologically verified "standard LBD" (i.e. PD, PD with AD and DLB; n = 25) vs. no LB pathology (n = 53) with high sensitivity (100%) and specificity (94%). Only 57% were αSyn RT-QuIC positive in the subgroup with "non-standard" LBD (i.e., AD with Lewy Bodies not meeting criteria for DLB or PD, and incidental LBD, n = 23). Furthermore, αSyn RT-QuIC reliably identified cases with LB pathology in the cortex (97% sensitivity) vs. cases with no LBs or LBs present only in the olfactory bulb (93% specificity). However, the sensitivity was low, only 50%, for cases with LB pathology restricted to the brainstem or amygdala, not affecting the allocortex or neocortex. In conclusion, αSyn RT-QuIC of CSF samples is highly sensitive and specific for identifying cases with clinicopathologically-defined Lewy body disorders and shows a lower sensitivity for non-standard LBD or asymptomatic LBD or in cases with modest LB pathology not affecting the cortex.
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Affiliation(s)
- Sara Hall
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.
- Memory Clinic, Skåne University Hospital, 20502, Malmö, Sweden.
| | - Christina D Orrù
- LPVD, Rocky Mountain Laboratories, NIAID, NIH, Hamilton, MT, USA
| | - Geidy E Serrano
- Banner Sun Health Research Institute, Sun City, Arizona, USA
| | - Douglas Galasko
- Department of Neurosciences, University of California San Diego, La Jolla, CA, USA
- Veterans Affairs San Diego Healthcare System, San Diego, CA, USA
| | - Andrew G Hughson
- LPVD, Rocky Mountain Laboratories, NIAID, NIH, Hamilton, MT, USA
| | | | - Charles H Adler
- Department of Neurology, Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Thomas G Beach
- Banner Sun Health Research Institute, Sun City, Arizona, USA
| | - Byron Caughey
- LPVD, Rocky Mountain Laboratories, NIAID, NIH, Hamilton, MT, USA
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.
- Memory Clinic, Skåne University Hospital, 20502, Malmö, Sweden.
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27
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Monteiro JC, Yokomichi ALY, de Carvalho Bovolato AL, Schelp AO, Ribeiro SJL, Deffune E, Moraes MLD. Alzheimer's disease diagnosis based on detection of autoantibodies against Aβ using Aβ40 peptide in liposomes. Clin Chim Acta 2022; 531:223-229. [PMID: 35447142 DOI: 10.1016/j.cca.2022.04.235] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 04/14/2022] [Accepted: 04/15/2022] [Indexed: 11/03/2022]
Abstract
BACKGROUND Alzheimer's disease (AD) is the most common form of dementia and affect more than 50 million people worldwide. Thus, there is a high demand by non-invasive methods for an early diagnosis. This work explores the AD diagnostic using the amyloid beta 1-40 (Aβ40) peptide encapsulated into dipalmitoyl phosphatidyl glycerol (DPPG) liposomes and immobilized on polyethylene imine previously deposited on screen-printed carbon electrodes to detect autoantibodies against Aβ40, a potential biomarker found in plasma samples. METHODS The immunosensor assembly was accompanied by atomic force microscopy (AFM) images that showed globular aggregates from 20 to 200 nm corresponding liposomes and by cyclic voltammetry (CV) through increase of the voltammogram area each material deposited. After building the immunosensor, when it was exposed to antibody anti-Aβ40, there was an increase in film roughness of approximately 9 nm, indicating the formation of the immunocomplex. RESULTS In the detection by CV, the presence of specific antibody, in the range of 0.1 to 10 μg/ml, resulted in an increase in the voltammograms area and current in 0.45 V reaching 3.2 µA.V and 5.7 μA, respectively, in comparison with the control system, which remained almost unchanged from 0.1 μg/ml. In patient samples, both cerebrospinal fluid (CSF) and plasma, was possible separated among positive and negative samples for AD using CV profile and area, with a difference of 0.1 μA.V from the upper error bar of healthy samples for CSF sample and 0.6 μA.V for plasma sample. CONCLUSIONS These results showed the feasibility of the method employed for the non-invasive diagnostic of Alzheimer's disease detecting natural autoantibodies that circulate in plasma through a simple and easy-to-interpret method.
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Affiliation(s)
- Júlio César Monteiro
- Universidade Federal de São Paulo, Instituto de Ciência e Tecnologia, São José dos Campos, SP, Brazil
| | - Anna Laura Yuri Yokomichi
- Universidade Federal de São Paulo, Instituto de Ciência e Tecnologia, São José dos Campos, SP, Brazil
| | | | - Arthur Oscar Schelp
- Universidade Estadual Paulista, Hemocentro de Botucatu, Botucatu, SP, Brazil
| | | | - Elenice Deffune
- Universidade Estadual Paulista, Hemocentro de Botucatu, Botucatu, SP, Brazil
| | - Marli Leite de Moraes
- Universidade Federal de São Paulo, Instituto de Ciência e Tecnologia, São José dos Campos, SP, Brazil.
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28
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van Harten AC, Wiste HJ, Weigand SD, Mielke MM, Kremers WK, Eichenlaub U, Dyer RB, Algeciras‐Schimnich A, Knopman DS, Jack CR, Petersen RC. Detection of Alzheimer's disease amyloid beta 1-42, p-tau, and t-tau assays. Alzheimers Dement 2022; 18:635-644. [PMID: 34310035 PMCID: PMC9249966 DOI: 10.1002/alz.12406] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 04/07/2021] [Accepted: 05/06/2021] [Indexed: 11/25/2022]
Abstract
INTRODUCTION We aimed to provide cut points for the automated Elecsys Alzheimer's disease (AD) cerebrospinal fluid (CSF) biomarkers. METHODS Cut points for Elecsys amyloid beta 42 (Aβ42), total tau (t-tau), hyperphosphorylated tau (p-tau), and t-tau/Aβ42 and p-tau/Aβ42 ratios were evaluated in Mayo Clinic Study of Aging (n = 804) and Mayo Clinic Alzheimer's Disease Research Center (n = 70) participants. RESULTS The t-tau/Aβ42 and p-tau/Aβ42 ratios had a higher percent agreement with normal/abnormal amyloid positron emission tomography (PET) than the individual CSF markers. Reciever Operating Characteristic (ROC)-based cut points were 0.26 (0.24-0.27) for t-tau/Aβ42 and 0.023 (0.020-0.025) for p-tau/Aβ42. Ratio cut points derived from other cohorts performed as well in our cohort as our own did. Individual biomarkers had worse diagnostic properties and more variable results in terms of positive and negative percent agreement (PPA and NPA). CONCLUSION CSF t-tau/Aβ42 and p-tau/Aβ42 ratios are very robust indicators of AD. For individual biomarkers, the intended use should determine which cut point is chosen.
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Affiliation(s)
- Argonde C. van Harten
- Department of NeurologyMayo ClinicRochesterMinnesotaUSA
- Department of Neurology and Alzheimer Center Amsterdam UMCAmsterdamthe Netherlands
| | - Heather J. Wiste
- Department of Health Sciences ResearchMayo ClinicRochesterMinnesotaUSA
| | | | - Michelle M. Mielke
- Department of NeurologyMayo ClinicRochesterMinnesotaUSA
- Department of Health Sciences ResearchMayo ClinicRochesterMinnesotaUSA
| | - Walter K. Kremers
- Department of Health Sciences ResearchMayo ClinicRochesterMinnesotaUSA
| | | | - Roy B. Dyer
- Department of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesotaUSA
| | | | | | | | - Ronald C. Petersen
- Department of NeurologyMayo ClinicRochesterMinnesotaUSA
- Department of Health Sciences ResearchMayo ClinicRochesterMinnesotaUSA
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29
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Knorr U, Simonsen AH, Jensen CS, Zetterberg H, Blennow K, Akhøj M, Forman J, Hasselbalch SG, Kessing LV. Alzheimer's disease related biomarkers in bipolar disorder - A longitudinal one-year case-control study. J Affect Disord 2022; 297:623-633. [PMID: 34728295 DOI: 10.1016/j.jad.2021.10.074] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 10/06/2021] [Accepted: 10/23/2021] [Indexed: 11/29/2022]
Abstract
INTRODUCTION Bipolar disorder (BD) is a heterogeneous mental disorder characterized by recurrent relapses of affective episodes: Subgroups of patients with BD have cognitive deficits, and an increased risk of dementia. METHODS This prospective, longitudinal, one-year follow-up, case-control study investigated biomarkers for AD and neurodegenerative diseases, namely: cerebrospinal fluid (CSF) amyloid beta (Aβ) isoforms and ratios (Aβ42, Aβ40, Aβ38), CSF soluble amyloid precursor protein (sAPP) α and β, CSF total (t-tau) and phosphorylated tau (p-tau), CSF neurofilament-light (NF-L), CSF neurogranin (NG), plasma-isoforms Aβ42 and Aβ40, plasma-tau, plasma-NF-L, and serum S100B, in patients with BD (N = 62, aged 18-60) and gender-and-age-matched healthy control individuals (N = 40). CSF and plasma/serum samples were collected at baseline, during and after an affective episode, if it occurred, and after a year. Data were analyzed in mixed models. RESULTS Levels of CSF Aβ42 decreased in patients with BD who had an episode during follow-up (BD-E) (N = 22) compared to patients without an episode (BD-NE) (N = 25) during follow-up (P = 0.002). Stable levels were seen for all other markers in BD-E compared to BD-NE during the one-year follow-up. We found no statistically significant differences between patients with BD and HC at T0 and T3 for Aβ42, Aβ40, Aβ38, Aβ42/38, Aβ42/40, sAPPα, sAPPβ, t-tau, p-tau, p-tau /t-tau, NF-L, NG in CSF and further Aβ40, Aβ42, Aβ42/40, t-tau, NF-L in plasma, S100B in serum, and APOE-status. Furthermore, all 18 biomarkers were stable in HC during the one-year follow-up from T0 to T3. CONCLUSION A panel of biomarkers of Alzheimer's and neurodegeneration show no differences between patients with BD and HC. There were abnormalities of amyloid production/clearance during an acute BD episode. The abnormalities mimic the pattern seen in AD namely decreasing CSF Aβ42 and may suggest an association with brain amyloidosis.
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Affiliation(s)
- Ulla Knorr
- Psychiatric Center Copenhagen, Department Rigshospitalet, Copenhagen Affective Disorder Research Center (CADIC), Blegdamsvej 9, 2100 Copenhagen, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
| | | | | | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease, University College London, Queen Square, London, United Kingdom; UK Dementia Research Institute University College London, London, United Kingdom
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Morten Akhøj
- Section of Biostatistics, Department of Public Health, University of Copenhagen, Denmark
| | - Julie Forman
- Section of Biostatistics, Department of Public Health, University of Copenhagen, Denmark
| | - Steen Gregers Hasselbalch
- Danish Dementia Research Center, Rigshospitalet, Copenhagen, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Lars Vedel Kessing
- Psychiatric Center Copenhagen, Department Rigshospitalet, Copenhagen Affective Disorder Research Center (CADIC), Blegdamsvej 9, 2100 Copenhagen, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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30
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Vogt NM, Hunt JFV, Adluru N, Ma Y, Van Hulle CA, Dean DC, Kecskemeti SR, Chin NA, Carlsson CM, Asthana S, Johnson SC, Kollmorgen G, Batrla R, Wild N, Buck K, Zetterberg H, Alexander AL, Blennow K, Bendlin BB. Interaction of amyloid and tau on cortical microstructure in cognitively unimpaired adults. Alzheimers Dement 2022; 18:65-76. [PMID: 33984184 PMCID: PMC8589921 DOI: 10.1002/alz.12364] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 03/31/2021] [Accepted: 04/12/2021] [Indexed: 01/03/2023]
Abstract
INTRODUCTION Neurite orientation dispersion and density imaging (NODDI), a multi-compartment diffusion-weighted imaging (DWI) model, may be useful for detecting early cortical microstructural alterations in Alzheimer's disease prior to cognitive impairment. METHODS Using neuroimaging (NODDI and T1-weighted magnetic resonance imaging [MRI]) and cerebrospinal fluid (CSF) biomarker data (measured using Elecsys® CSF immunoassays) from 219 cognitively unimpaired participants, we tested the main and interactive effects of CSF amyloid beta (Aβ)42 /Aβ40 and phosphorylated tau (p-tau) on cortical NODDI metrics and cortical thickness, controlling for age, sex, and apolipoprotein E ε4. RESULTS We observed a significant CSF Aβ42 /Aβ40 × p-tau interaction on cortical neurite density index (NDI), but not orientation dispersion index or cortical thickness. The directionality of these interactive effects indicated: (1) among individuals with lower CSF p-tau, greater amyloid burden was associated with higher cortical NDI; and (2) individuals with greater amyloid and p-tau burden had lower cortical NDI, consistent with cortical neurodegenerative changes. DISCUSSION NDI is a particularly sensitive marker for early cortical changes that occur prior to gross atrophy or development of cognitive impairment.
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Affiliation(s)
- Nicholas M. Vogt
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Jack F. V. Hunt
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Nagesh Adluru
- Waisman Laboratory for Brain Imaging and Behavior, Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Yue Ma
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Carol A. Van Hulle
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Douglas C. Dean
- Waisman Laboratory for Brain Imaging and Behavior, Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Steven R. Kecskemeti
- Waisman Laboratory for Brain Imaging and Behavior, Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Nathaniel A. Chin
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Cynthia M. Carlsson
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, WI, USA
| | - Sanjay Asthana
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, WI, USA
| | - Sterling C. Johnson
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, WI, USA
| | | | - Richard Batrla
- Roche Diagnostics International AG, Rotkreuz, Switzerland
| | | | | | - Henrik Zetterberg
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- UK Dementia Research Institute at University College London, London, UK
| | - Andrew L. Alexander
- Waisman Laboratory for Brain Imaging and Behavior, Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Kaj Blennow
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Barbara B. Bendlin
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
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31
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Forgrave LM, van der Gugten JG, Nguyen Q, DeMarco ML. Establishing pre-analytical requirements and maximizing peptide recovery in the analytical phase for mass spectrometric quantification of amyloid-β peptides 1-42 and 1-40 in CSF. Clin Chem Lab Med 2021; 60:198-206. [PMID: 34881836 DOI: 10.1515/cclm-2021-0549] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Accepted: 11/16/2021] [Indexed: 11/15/2022]
Abstract
OBJECTIVES Amyloid-β (Aβ) peptides in cerebrospinal fluid (CSF), including Aβ42 (residues 1-42) and Aβ40 (residues 1-40), are utilized as biomarkers in the diagnostic workup of Alzheimer's disease. Careful consideration has been given to the pre-analytical and analytical factors associated with measurement of these peptides via immunoassays; however, far less information is available for mass spectrometric methods. As such, we performed a comprehensive evaluation of pre-analytical and analytical factors specific to Aβ quantification using mass spectrometry. METHODS Using our quantitative mass spectrometry assay for Aβ42 and Aβ40 in CSF, we investigated the potential for interference from hemolysate, bilirubin, lipids, and anti-Aβ-antibodies. We also optimized the composition of the calibrator surrogate matrix and Aβ recovery during and after solid phase extraction (SPE). RESULTS There was no interreference observed with total protein up to 12 g/L, hemolysate up to 10% (v/v), bilirubin up to 0.5% (v/v), intralipid up to 1% (v/v), or anti-Aβ-antibodies at expected therapeutic concentrations. For hemolysate, bilirubin and lipids, visual CSF contamination thresholds were established. In the analytical phase, Aβ recovery was increased by ∼50% via SPE solvent modifications and by over 150% via modification of the SPE collection plate, which also extended analyte stability in the autosampler. CONCLUSIONS Attention to mass spectrometric-specific pre-analytical and analytical considerations improved analytical sensitivity and reproducibility, as well as, established CSF specimen acceptance and rejection criteria for use by the clinical laboratory.
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Affiliation(s)
- Lauren M Forgrave
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada
| | - J Grace van der Gugten
- Department of Pathology and Laboratory Medicine, St. Paul's Hospital, Providence Health Care, Vancouver, Canada
| | - Quyen Nguyen
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada
| | - Mari L DeMarco
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada.,Department of Pathology and Laboratory Medicine, St. Paul's Hospital, Providence Health Care, Vancouver, Canada
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32
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Verberk IMW, Misdorp EO, Koelewijn J, Ball AJ, Blennow K, Dage JL, Fandos N, Hansson O, Hirtz C, Janelidze S, Kang S, Kirmess K, Kindermans J, Lee R, Meyer MR, Shan D, Shaw LM, Waligorska T, West T, Zetterberg H, Edelmayer RM, Teunissen CE. Characterization of pre-analytical sample handling effects on a panel of Alzheimer's disease-related blood-based biomarkers: Results from the Standardization of Alzheimer's Blood Biomarkers (SABB) working group. Alzheimers Dement 2021; 18:1484-1497. [PMID: 34845818 PMCID: PMC9148379 DOI: 10.1002/alz.12510] [Citation(s) in RCA: 83] [Impact Index Per Article: 27.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 09/10/2021] [Accepted: 09/15/2021] [Indexed: 12/11/2022]
Abstract
Introduction Pre‐analytical sample handling might affect the results of Alzheimer's disease blood‐based biomarkers. We empirically tested variations of common blood collection and handling procedures. Methods We created sample sets that address the effect of blood collection tube type, and of ethylene diamine tetraacetic acid plasma delayed centrifugation, centrifugation temperature, aliquot volume, delayed storage, and freeze–thawing. We measured amyloid beta (Aβ)42 and 40 peptides with six assays, and Aβ oligomerization‐tendency (OAβ), amyloid precursor protein (APP)699‐711, glial fibrillary acidic protein (GFAP), neurofilament light (NfL), total tau (t‐tau), and phosphorylated tau181. Results Collection tube type resulted in different values of all assessed markers. Delayed plasma centrifugation and storage affected Aβ and t‐tau; t‐tau was additionally affected by centrifugation temperature. The other markers were resistant to handling variations. Discussion We constructed a standardized operating procedure for plasma handling, to facilitate introduction of blood‐based biomarkers into the research and clinical settings.
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Affiliation(s)
- Inge M W Verberk
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Els O Misdorp
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Jannet Koelewijn
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Andrew J Ball
- Quanterix Corporation, Billerica, Massachusetts, USA
| | - Kaj Blennow
- Institute of Neuroscience and Physiology, The Salhgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | | | | | - Oskar Hansson
- Clinical Memory Research Unit, Lund University, Lund, Sweden
| | - Christophe Hirtz
- IRMB-LBPC/PPC, INM, Univ Montpellier, CHU Montpellier, INSERM CNRS, Montpellier, France
| | | | | | | | - Jana Kindermans
- IRMB-LBPC/PPC, INM, Univ Montpellier, CHU Montpellier, INSERM CNRS, Montpellier, France
| | - Ryan Lee
- PeopleBio, Seongnam, South Korea
| | | | - Dandan Shan
- Quanterix Corporation, Billerica, Massachusetts, USA
| | - Leslie M Shaw
- Department of Pathology & Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Teresa Waligorska
- Department of Pathology & Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Tim West
- C2N Diagnostics, St. Louis, Missouri, USA
| | - Henrik Zetterberg
- Institute of Neuroscience and Physiology, The Salhgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,UK Dementia Research Institute at UCL, London, UK.,Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | | | - Charlotte E Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
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33
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Ain QU, Sarfraz M, Prasesti GK, Dewi TI, Kurniati NF. Confounders in Identification and Analysis of Inflammatory Biomarkers in Cardiovascular Diseases. Biomolecules 2021; 11:biom11101464. [PMID: 34680097 PMCID: PMC8533132 DOI: 10.3390/biom11101464] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 09/27/2021] [Accepted: 09/29/2021] [Indexed: 02/08/2023] Open
Abstract
Proinflammatory biomarkers have been increasingly used in epidemiologic and intervention studies over the past decades to evaluate and identify an association of systemic inflammation with cardiovascular diseases. Although there is a strong correlation between the elevated level of inflammatory biomarkers and the pathology of various cardiovascular diseases, the mechanisms of the underlying cause are unclear. Identification of pro-inflammatory biomarkers such as cytokines, chemokines, acute phase proteins, and other soluble immune factors can help in the early diagnosis of disease. The presence of certain confounding factors such as variations in age, sex, socio-economic status, body mass index, medication and other substance use, and medical illness, as well as inconsistencies in methodological practices such as sample collection, assaying, and data cleaning and transformation, may contribute to variations in results. The purpose of the review is to identify and summarize the effect of demographic factors, epidemiological factors, medication use, and analytical and pre-analytical factors with a panel of inflammatory biomarkers CRP, IL-1b, IL-6, TNFa, and the soluble TNF receptors on the concentration of these inflammatory biomarkers in serum.
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Affiliation(s)
- Qurrat Ul Ain
- Department of Pharmacology and Clinical Pharmacy, School of Pharmacy, Bandung Institute of Technology, Bandung 40132, Indonesia; (Q.U.A.); (G.K.P.)
| | - Mehak Sarfraz
- Department of Pharmacy, Comsats University Islamabad Abbottabad Campus, Abbottabad 22060, Pakistan;
| | - Gayuk Kalih Prasesti
- Department of Pharmacology and Clinical Pharmacy, School of Pharmacy, Bandung Institute of Technology, Bandung 40132, Indonesia; (Q.U.A.); (G.K.P.)
| | - Triwedya Indra Dewi
- Department of Cardiology and Vascular Medicine, Faculty of Medicine, Universitas Padjadjaran, Bandung 40124, Indonesia;
| | - Neng Fisheri Kurniati
- Department of Pharmacology and Clinical Pharmacy, School of Pharmacy, Bandung Institute of Technology, Bandung 40132, Indonesia; (Q.U.A.); (G.K.P.)
- Correspondence: ; +62-853-1582-6154
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34
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McDonald SJ, Shultz SR, Agoston DV. The Known Unknowns: An Overview of the State of Blood-Based Protein Biomarkers of Mild Traumatic Brain Injury. J Neurotrauma 2021; 38:2652-2666. [PMID: 33906422 DOI: 10.1089/neu.2021.0011] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Blood-based protein biomarkers have revolutionized several fields of medicine by enabling molecular level diagnosis, as well as monitoring disease progression and treatment efficacy. Traumatic brain injury (TBI) so far has benefitted only moderately from using protein biomarkers to improve injury outcome. Because of its complexity and dynamic nature, TBI, especially its most prevalent mild form (mild TBI; mTBI), presents unique challenges toward protein biomarker discovery and validation given that blood is frequently obtained and processed outside of the clinical laboratory (e.g., athletic fields, battlefield) under variable conditions. As it stands, the field of mTBI blood biomarkers faces a number of outstanding questions. Do elevated blood levels of currently used biomarkers-ubiquitin carboxy-terminal hydrolase L1, glial fibrillary acidic protein, neurofilament light chain, and tau/p-tau-truly mirror the extent of parenchymal damage? Do these different proteins represent distinct injury mechanisms? Is the blood-brain barrier a "brick wall"? What is the relationship between intra- versus extracranial values? Does prolonged elevation of blood levels reflect de novo release or extended protein half-lives? Does biological sex affect the pathobiological responses after mTBI and thus blood levels of protein biomarkers? At the practical level, it is unknown how pre-analytical variables-sample collection, preparation, handling, and stability-affect the quality and reliability of biomarker data. The ever-increasing sensitivity of assay systems and lack of quality control of samples, combined with the almost complete reliance on antibody-based assay platforms, represent important unsolved issues given that false-negative results can lead to false clinical decision making and adverse outcomes. This article serves as a commentary on the state of mTBI biomarkers and the landscape of significant challenges. We highlight and discusses several biological and methodological "known unknowns" and close with some practical recommendations.
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Affiliation(s)
- Stuart J McDonald
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia
- Department of Physiology, Anatomy and Microbiology, School of Life Sciences, La Trobe University, Bundoora, Victoria, Australia
| | - Sandy R Shultz
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia
- Department of Medicine, Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, Australia
| | - Denes V Agoston
- Department of Anatomy, Physiology and Genetics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
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35
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Alawode DOT, Heslegrave AJ, Ashton NJ, Karikari TK, Simrén J, Montoliu‐Gaya L, Pannee J, O´Connor A, Weston PSJ, Lantero‐Rodriguez J, Keshavan A, Snellman A, Gobom J, Paterson RW, Schott JM, Blennow K, Fox NC, Zetterberg H. Transitioning from cerebrospinal fluid to blood tests to facilitate diagnosis and disease monitoring in Alzheimer's disease. J Intern Med 2021; 290:583-601. [PMID: 34021943 PMCID: PMC8416781 DOI: 10.1111/joim.13332] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Revised: 03/18/2021] [Accepted: 03/30/2021] [Indexed: 12/11/2022]
Abstract
Alzheimer's disease (AD) is increasingly prevalent worldwide, and disease-modifying treatments may soon be at hand; hence, now, more than ever, there is a need to develop techniques that allow earlier and more secure diagnosis. Current biomarker-based guidelines for AD diagnosis, which have replaced the historical symptom-based guidelines, rely heavily on neuroimaging and cerebrospinal fluid (CSF) sampling. While these have greatly improved the diagnostic accuracy of AD pathophysiology, they are less practical for application in primary care, population-based and epidemiological settings, or where resources are limited. In contrast, blood is a more accessible and cost-effective source of biomarkers in AD. In this review paper, using the recently proposed amyloid, tau and neurodegeneration [AT(N)] criteria as a framework towards a biological definition of AD, we discuss recent advances in biofluid-based biomarkers, with a particular emphasis on those with potential to be translated into blood-based biomarkers. We provide an overview of the research conducted both in CSF and in blood to draw conclusions on biomarkers that show promise. Given the evidence collated in this review, plasma neurofilament light chain (N) and phosphorylated tau (p-tau; T) show particular potential for translation into clinical practice. However, p-tau requires more comparisons to be conducted between its various epitopes before conclusions can be made as to which one most robustly differentiates AD from non-AD dementias. Plasma amyloid beta (A) would prove invaluable as an early screening modality, but it requires very precise tests and robust pre-analytical protocols.
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Affiliation(s)
- D. O. T. Alawode
- From theDepartment of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
- UK Dementia Research Institute at UCLLondonUK
| | - A. J. Heslegrave
- From theDepartment of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
- UK Dementia Research Institute at UCLLondonUK
| | - N. J. Ashton
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Wallenberg Centre for Molecular and Translational MedicineDepartment of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska Academy at the University of GothenburgGothenburgSweden
- Department of Old Age PsychiatryInstitute of Psychiatry, Psychology & NeuroscienceKing’s College LondonLondonUK
- NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS FoundationLondonUK
| | - T. K. Karikari
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - J. Simrén
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
| | - L. Montoliu‐Gaya
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - J. Pannee
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
| | - A. O´Connor
- UK Dementia Research Institute at UCLLondonUK
- Dementia Research CentreDepartment of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
| | - P. S. J. Weston
- Dementia Research CentreDepartment of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
| | - J. Lantero‐Rodriguez
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - A. Keshavan
- Dementia Research CentreDepartment of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
| | - A. Snellman
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Turku PET CentreUniversity of TurkuTurkuFinland
| | - J. Gobom
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
| | - R. W. Paterson
- Dementia Research CentreDepartment of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
| | - J. M. Schott
- Dementia Research CentreDepartment of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
| | - K. Blennow
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
| | - N. C. Fox
- UK Dementia Research Institute at UCLLondonUK
- Dementia Research CentreDepartment of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
| | - H. Zetterberg
- From theDepartment of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
- UK Dementia Research Institute at UCLLondonUK
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
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Mommaerts K, Willemse EAJ, Marchese M, Larue C, van der Flier WM, Betsou F, Teunissen CE. A Cystatin C Cleavage ELISA Assay as a Quality Control Tool for Determining Sub-Optimal Storage Conditions of Cerebrospinal Fluid Samples in Alzheimer's Disease Research. J Alzheimers Dis 2021; 83:1367-1377. [PMID: 34420976 PMCID: PMC8673510 DOI: 10.3233/jad-210741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Background: An N-terminal octapeptide cleavage of the cystatin C protein was discovered by mass spectrometry when cerebrospinal fluid (CSF) was stored at –20°C for 3 months, which did not occur when CSF was stored at –80°C. Objective: The aim was to develop an immunoassay as quality assessment tool to detect this –20°C cleavage of cystatin C in CSF and support Alzheimer’s disease research. Methods: A specific monoclonal antibody and a double indirect sandwich ELISA were developed: one assay quantifies the octapeptide uncleaved protein specifically and the other quantifies the total cystatin C present in the biological fluid (both cleaved and uncleaved forms). The ratio of these concentrations was calculated to assess the extent of cleavage of cystatin C. The novel ELISA was validated and applied in a short-term (up to 4 weeks) and mid-term (up to one year) stability study of CSF stored at 4°C, –20°C, –80°C, and liquid nitrogen. Impact of freeze-thaw cycles, adsorption, and protease inhibitors were tested. Results: The ratio of truncated protein was modified following –20°C storage and seemed to reach a plateau after 6 months. The ratio was impacted neither by freeze-thaw cycles nor adsorption. The –20°C specific cleavage was found to be protease related. Conclusion: Using this novel double indirect sandwich ELISA, absolute levels of the total and uncleaved cystatin C and the ratio of truncated cystatin C can be measured. This assay is an easily applicable tool which can be used to confirm that CSF biospecimen are fit-for-purpose for Alzheimer’s disease research.
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Affiliation(s)
- Kathleen Mommaerts
- Biospecimen Research Group, Integrated Biobank of Luxembourg, Luxembourg Institute of Health, Luxembourg.,Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Luxembourg
| | - Eline A J Willemse
- Department of Clinical Chemistry, Neurochemistry Laboratory, Amsterdam Neuroscience, Amsterdam University Medical Center, VU University, Amsterdam, the Netherlands
| | - Monica Marchese
- Translational Biomarker Group, Integrated Biobank of Luxembourg, Luxembourg Institute of Health, Luxembourg
| | - Catherine Larue
- Integrated Biobank of Luxembourg, Luxembourg Institute of Health, Luxembourg
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam University Medical Center, VU University, Amsterdam, the Netherlands.,Department of Epidemiology and Biostatistics, Amsterdam University Medical Center, VU Amsterdam, Amsterdam, the Netherlands
| | - Fay Betsou
- Integrated Biobank of Luxembourg, Luxembourg Institute of Health, Luxembourg
| | - Charlotte E Teunissen
- Department of Clinical Chemistry, Neurochemistry Laboratory, Amsterdam Neuroscience, Amsterdam University Medical Center, VU University, Amsterdam, the Netherlands
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37
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Babapour Mofrad R, Scheltens P, Kim S, Kang S, Youn YC, An SSA, Tomassen J, van Berckel BNM, Visser PJ, van der Flier WM, Teunissen CE. Plasma amyloid-β oligomerization assay as a pre-screening test for amyloid status. Alzheimers Res Ther 2021; 13:133. [PMID: 34311775 PMCID: PMC8311929 DOI: 10.1186/s13195-021-00873-w] [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: 12/06/2020] [Accepted: 07/04/2021] [Indexed: 01/15/2023]
Abstract
OBJECTIVE We assessed the performance of plasma amyloid oligomerization tendency (OAβ) as a marker for abnormal amyloid status. Additionally, we examined long-term storage effects on plasma OAβ. METHODS We included 399 subjects regardless of clinical diagnosis from the Amsterdam Dementia Cohort and European Medical Information Framework for AD project (age, 63.8 ± 6.6; 44% female). Amyloid status was determined by visual read on positron emission tomography (PET; nabnormal = 206). Plasma OAβ was measured using the multimer detection system (MDS). Long-term storage effects on MDS-OAβ were assessed using general linear models. Associations between plasma MDS-OAβ and Aβ-PET status were assessed using logistic regression and receiver operating characteristics analyses. Correlations between plasma MDS-OAβ and CSF biomarker levels were evaluated using Pearson correlation analyses. RESULTS MDS-OAβ was higher in individuals with abnormal amyloid, and it identified abnormal Aβ-PET with an area under the curve (AUC) of 0.74 (95% CI, 0.67-0.81), especially in samples with a storage duration < 4 years. Combining APOEe4 and age with plasma MDS-OAβ revealed an AUC of 81% for abnormal amyloid PET status (95% CI, 74-87%). Plasma MDS-OAβ correlated negatively with MMSE (r = - 0.29, p < .01) and CSF Aβ42 (r = - 0.20, p < 0.05) and positively with CSF Tau (r = 0.20, p = 0.01). CONCLUSIONS Plasma MDS-OAβ combined with APOEe4 and age accurately identifies brain amyloidosis in a large Aβ-confirmed population. Using plasma MDS-OAβ as a screener reduced the costs and number of PET scans needed to screen for amyloidosis, which is relevant for clinical trials. Additionally, plasma MDS-OAβ levels appeared affected by long-term storage duration, which could be of interest for others measuring plasma Aβ biomarkers.
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Affiliation(s)
- Rosha Babapour Mofrad
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, Amsterdam, The Netherlands.
- Alzheimer Center & Department of Neurology Amsterdam, Neuroscience Campus Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
| | - Philip Scheltens
- Alzheimer Center & Department of Neurology Amsterdam, Neuroscience Campus Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - SangYun Kim
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Gyeonggi-do, Republic of Korea
| | - Sungmin Kang
- Department of Research and Development, PeopleBio Inc, Seongnam-si, Republic of Korea
| | - Young Chul Youn
- Department of Neurology, Chung-Ang University College of Medicine, Seoul, Republic of Korea
| | - Seong Soo A An
- Department of Bionanotechnology, Gachon University, Incheon, Republic of Korea
| | - Jori Tomassen
- Alzheimer Center & Department of Neurology Amsterdam, Neuroscience Campus Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Bart N M van Berckel
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Pieter Jelle Visser
- Alzheimer Center & Department of Neurology Amsterdam, Neuroscience Campus Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Department of Psychiatry & Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center & Department of Neurology Amsterdam, Neuroscience Campus Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Department of Epidemiology and Biostatistics, Amsterdam UMC, VU University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Charlotte E Teunissen
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, Amsterdam, The Netherlands
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38
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Ladang A, Rigaud L, Sqalli G, Cavalier E. Effects of various pre-analytical conditions on blood-based biomarkers of Alzheimer's disease. Clin Chem Lab Med 2021; 59:e435-e437. [PMID: 34233385 DOI: 10.1515/cclm-2021-0637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 06/30/2021] [Indexed: 11/15/2022]
Affiliation(s)
- Aurélie Ladang
- Clinical Chemistry Department, CHU Liège, Liège, Belgium
| | - Lucas Rigaud
- Clinical Chemistry Department, CHU Liège, Liège, Belgium
| | - Ghali Sqalli
- Clinical Chemistry Department, CHU Liège, Liège, Belgium
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39
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Hampel H, Shaw LM, Aisen P, Chen C, Lleó A, Iwatsubo T, Iwata A, Yamada M, Ikeuchi T, Jia J, Wang H, Teunissen CE, Peskind E, Blennow K, Cummings J, Vergallo A. State-of-the-art of lumbar puncture and its place in the journey of patients with Alzheimer's disease. Alzheimers Dement 2021; 18:159-177. [PMID: 34043269 PMCID: PMC8626532 DOI: 10.1002/alz.12372] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 02/24/2021] [Accepted: 04/12/2021] [Indexed: 01/01/2023]
Abstract
Recent advances in developing disease‐modifying therapies (DMT) for Alzheimer's disease (AD), and the recognition that AD pathophysiology emerges decades before clinical symptoms, necessitate a paradigm shift of health‐care systems toward biomarker‐guided early detection, diagnosis, and therapeutic decision‐making. Appropriate incorporation of cerebrospinal fluid biomarker analysis in clinical practice is an essential step toward system readiness for accommodating the demand of AD diagnosis and proper use of DMTs—once they become available. However, the use of lumbar puncture (LP) in individuals with suspected neurodegenerative diseases such as AD is inconsistent, and the perception of its utility and safety differs considerably among medical specialties as well as among regions and countries. This review describes the state‐of‐the‐art evidence concerning the safety profile of LP in older adults, discusses the risk factors for LP‐associated adverse events, and provides recommendations and an outlook for optimized use and global implementation of LP in individuals with suspected AD.
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Affiliation(s)
- Harald Hampel
- Eisai Inc., Neurology Business Group, Woodcliff Lake, New Jersey, USA
| | - Leslie M Shaw
- Perelman School of Medicine, Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Paul Aisen
- USC Alzheimer's Therapeutic Research Institute, San Diego, California, USA
| | - Christopher Chen
- Memory Aging and Cognition Centre, Departments of Pharmacology and Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Alberto Lleó
- Sant Pau Memory Unit, 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 de Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Takeshi Iwatsubo
- Department of Neuropathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Atsushi Iwata
- Tokyo Metropolitan Geriatric Hospital, 35-2 Sakaecho, Itabashi-ku, Tokyo, Japan
| | - Masahito Yamada
- Department of Neurology and Neurobiology of Aging, Kanazawa University Graduate School of Medical Science, Kanazawa, Japan
| | - Takeshi Ikeuchi
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Asahimachi, Niigata, Japan
| | - Jianping Jia
- Innovation Center for Neurological Disorders, Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing, China
| | - Huali Wang
- Dementia Care and Research Center, Peking University Institute of Mental Health (Sixth Hospital), Beijing Dementia Key Lab, National Clinical Research Center for Mental Disorders, Beijing, China
| | - Charlotte E Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Elaine Peskind
- VA Northwest Mental Illness Research, Education and Clinical Center, VA Puget Sound Health Care System, Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, Washington, USA
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Jeffrey Cummings
- Chambers-Grundy Center for Transformative Neuroscience, Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas (UNLV), Las Vegas, Nevada, USA
| | - Andrea Vergallo
- Eisai Inc., Neurology Business Group, Woodcliff Lake, New Jersey, USA
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40
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Bartolome F, Orive G, Carro E. Standardizing salivary lactoferrin measurements to obtain a robust diagnostic biomarker for Alzheimer's disease. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 13:e12173. [PMID: 33969170 PMCID: PMC8088590 DOI: 10.1002/dad2.12173] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Revised: 02/01/2021] [Accepted: 02/18/2021] [Indexed: 12/13/2022]
Abstract
The search for new, robust, and reproducible biomarkers for Alzheimer's disease (AD) diagnosis is a challenge. We recently reported that salivary lactoferrin (Lf) could be presented as new biomarker candidate for AD, being both non-invasive and cost-effective, as well as having appropriate diagnostic performance for the clinical detection of AD subjects. Saliva is an attractive sample type for biomarker-based testing approaches for several other diseases; however, its composition may change under certain circumstances. It is therefore critical to maintain a consistent salivary handling protocol, considering possible extrinsic factors that may influence salivary Lf concentration. In this work, we analyzed salivary Lf concentration under different handling conditions and donor-dependent factors including age, inter-diurnal variations, physical activity, and pharmacological treatments. Our aim was to evaluate the influence of such conditions on salivary Lf concentration. In conclusion, we found that most of these extrinsic factors should be considered in the future when using Lf as a predictive biomarker for AD.
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Affiliation(s)
- Fernando Bartolome
- Network Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED)CordobaSpain
- Group of Neurodegenerative DiseasesHospital Universitario 12 de Octubre Research Institute (imas12)MadridSpain
| | - Gorka Orive
- Laboratory of Pharmacy and Pharmaceutical TechnologyFaculty of PharmacyUniversity of the Basque CountryVitoriaSpain
- Bioaraba, NanoBioCel Research GroupVitoria‐GasteizSpain
- Networked Center for Biomedical Research in BioengineeringBiomaterials and Nanomedicine (CIBER‐BBN)BarcelonaSpain
| | - Eva Carro
- Network Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED)CordobaSpain
- Group of Neurodegenerative DiseasesHospital Universitario 12 de Octubre Research Institute (imas12)MadridSpain
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41
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Budelier MM, Bateman RJ. Biomarkers of Alzheimer Disease. J Appl Lab Med 2021; 5:194-208. [PMID: 31843944 DOI: 10.1373/jalm.2019.030080] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Accepted: 10/31/2019] [Indexed: 01/22/2023]
Abstract
BACKGROUND Alzheimer disease (AD) was once a clinical diagnosis confirmed by postmortem autopsy. Today, with the development of AD biomarkers, laboratory assays to detect AD pathology are able to complement clinical diagnosis in symptomatic individuals with uncertain diagnosis. A variety of commercially available assays are performed as laboratory-developed tests, and many more are in development for both clinical and research purposes. CONTENT The role of laboratory medicine in diagnosing and managing AD is expanding; thus, it is important for laboratory professionals and ordering physicians to understand the strengths and limitations of both existing and emerging AD biomarker assays. In this review, we will provide an overview of the diagnosis of AD, discuss existing laboratory assays for AD and their recommended use, and examine the clinical performance of emerging AD biomarkers. SUMMARY The field of AD biomarker discovery and assay development is rapidly evolving, with recent studies promising to improve both the diagnosis of symptomatic individuals and enrollment and monitoring of asymptomatic individuals in research studies. However, care must be taken to ensure proper use and interpretation of these assays. For clinical purposes, these assays are meant to aid in diagnosis but are not themselves diagnostic. For individuals without symptoms, AD biomarker tests are still only appropriate for research purposes. Additionally, there are analytical challenges that require careful attention, especially for longitudinal use of AD tests.
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Affiliation(s)
- Melissa M Budelier
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO
| | - Randall J Bateman
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
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42
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Doecke JD, Francois C, Fowler CJ, Stoops E, Bourgeat P, Rainey-Smith SR, Li QX, Masters CL, Martins RN, Villemagne VL, Collins SJ, Vanderstichele HM. Core Alzheimer's disease cerebrospinal fluid biomarker assays are not affected by aspiration or gravity drip extraction methods. Alzheimers Res Ther 2021; 13:79. [PMID: 33863377 PMCID: PMC8052760 DOI: 10.1186/s13195-021-00812-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 03/22/2021] [Indexed: 11/10/2022]
Abstract
BACKGROUND CSF biomarkers are well-established for routine clinical use, yet a paucity of comparative assessment exists regarding CSF extraction methods during lumbar puncture. Here, we compare in detail biomarker profiles in CSF extracted using either gravity drip or aspiration. METHODS Biomarkers for β-amyloidopathy (Aβ1-42, Aβ1-40), tauopathy (total tau), or synapse pathology (BACE1, Neurogranin Trunc-p75, α-synuclein) were assessed between gravity or aspiration extraction methods in a sub-population of the Australian Imaging, Biomarkers and Lifestyle (AIBL) study (cognitively normal, N = 36; mild cognitive impairment, N = 8; Alzheimer's disease, N = 6). RESULTS High biomarker concordance between extraction methods was seen (concordance correlation > 0.85). Passing Bablock regression defined low beta coefficients indicating high scalability. CONCLUSIONS Levels of these commonly assessed CSF biomarkers are not influenced by extraction method. Results of this study should be incorporated into new consensus guidelines for CSF collection, storage, and analysis of biomarkers.
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Affiliation(s)
- James D Doecke
- The Australian e-Health Research Centre, CSIRO, Brisbane, QLD, Australia
| | | | | | | | - Pierrick Bourgeat
- The Australian e-Health Research Centre, CSIRO, Brisbane, QLD, Australia
| | - Stephanie R Rainey-Smith
- Australian Alzheimer's Research Foundation, Perth, WA, Australia
- Centre for Healthy Ageing, Health Futures Institute, Murdoch University, Murdoch, WA, Australia
| | - Qiao-Xin Li
- University of Melbourne, Melbourne, VIC, Australia
| | | | | | - Victor L Villemagne
- Department of Molecular Imaging & Therapy, Austin Health, Heidelberg, VIC, Australia
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
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43
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Baiardi S, Pizza F, Polischi B, Moresco M, Abu-Rumeileh S, Plazzi G, Parchi P. Cerebrospinal fluid biomarkers of neurodegeneration in narcolepsy type 1. Sleep 2021; 43:5573415. [PMID: 31552425 DOI: 10.1093/sleep/zsz215] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2019] [Revised: 06/27/2019] [Indexed: 11/13/2022] Open
Abstract
STUDY OBJECTIVES To measure the levels of five neurodegenerative biomarkers in the cerebrospinal fluid (CSF) of patients with narcolepsy type 1 (NT1) with variable disease duration. METHODS Following a standardized protocol of CSF collection and storage, we measured CSF total- and phosphorylated-tau, amyloid-beta 1-40 and 1-42, and neurofilament light chain (NfL) proteins in 30 nonneurological controls and 36 subjects with NT1, including 14 patients with recent disease onset (i.e. ≤12 months, short disease duration group). RESULTS CSF levels of all biomarkers were similar in NT1 subjects and controls. The comparison between NT1 with short and long disease duration only revealed slightly higher levels of CSF amyloid-beta 1-40 in the former group (median 9,549.5, interquartile range [IQR] 7,064.2-11,525.0 vs. 6,870.0, IQR 5,133.7-9,951.2, p = 0.043). CSF storage time did not influence the levels of the tested biomarkers. CONCLUSIONS The measurement of CSF total-tau, phosphorylated-tau, amyloid-beta 1-40 and 1-42, and NfL proteins is not informative in NT1.
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Affiliation(s)
- Simone Baiardi
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.,IRCCS, Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Fabio Pizza
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.,IRCCS, Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Barbara Polischi
- IRCCS, Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Monica Moresco
- IRCCS, Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Samir Abu-Rumeileh
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Giuseppe Plazzi
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.,IRCCS, Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Piero Parchi
- IRCCS, Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy.,Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
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44
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Wilcock D, Jicha G, Blacker D, Albert MS, D’Orazio LM, Elahi FM, Fornage M, Hinman JD, Knoefel J, Kramer J, Kryscio RJ, Lamar M, Moghekar A, Prestopnik J, Ringman JM, Rosenberg G, Sagare A, Satizabal CL, Schneider J, Seshadri S, Sur S, Tracy RP, Yasar S, Williams V, Singh H, Mazina L, Helmer KG, Corriveau RA, Schwab K, Kivisäkk P, Greenberg SM. MarkVCID cerebral small vessel consortium: I. Enrollment, clinical, fluid protocols. Alzheimers Dement 2021; 17:704-715. [PMID: 33480172 PMCID: PMC8122220 DOI: 10.1002/alz.12215] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Accepted: 09/22/2020] [Indexed: 01/04/2023]
Abstract
The concept of vascular contributions to cognitive impairment and dementia (VCID) derives from more than two decades of research indicating that (1) most older individuals with cognitive impairment have post mortem evidence of multiple contributing pathologies and (2) along with the preeminent role of Alzheimer's disease (AD) pathology, cerebrovascular disease accounts for a substantial proportion of this contribution. Contributing cerebrovascular processes include both overt strokes caused by etiologies such as large vessel occlusion, cardioembolism, and embolic infarcts of unknown source, and frequently asymptomatic brain injuries caused by diseases of the small cerebral vessels. Cerebral small vessel diseases such as arteriolosclerosis and cerebral amyloid angiopathy, when present at moderate or greater pathologic severity, are independently associated with worse cognitive performance and greater likelihood of dementia, particularly in combination with AD and other neurodegenerative pathologies. Based on this evidence, the US National Alzheimer's Project Act explicitly authorized accelerated research in vascular and mixed dementia along with frontotemporal and Lewy body dementia and AD itself. Biomarker development has been consistently identified as a key step toward translating scientific advances in VCID into effective prevention and treatment strategies. Validated biomarkers can serve a range of purposes in trials of candidate interventions, including (1) identifying individuals at increased VCID risk, (2) diagnosing the presence of cerebral small vessel disease or specific small vessel pathologies, (3) stratifying study participants according to their prognosis for VCID progression or treatment response, (4) demonstrating an intervention's target engagement or pharmacodynamic mechanism of action, and (5) monitoring disease progression during treatment. Effective biomarkers allow academic and industry investigators to advance promising interventions at early stages of development and discard interventions with low success likelihood. The MarkVCID consortium was formed in 2016 with the goal of developing and validating fluid- and imaging-based biomarkers for the cerebral small vessel diseases associated with VCID. MarkVCID consists of seven project sites and a central coordinating center, working with the National Institute of Neurologic Diseases and Stroke and National Institute on Aging under cooperative agreements. Through an internal selection process, MarkVCID has identified a panel of 11 candidate biomarker "kits" (consisting of the biomarker measure and the clinical and cognitive data used to validate it) and established a range of harmonized procedures and protocols for participant enrollment, clinical and cognitive evaluation, collection and handling of fluid samples, acquisition of neuroimaging studies, and biomarker validation. The overarching goal of these protocols is to generate rigorous validating data that could be used by investigators throughout the research community in selecting and applying biomarkers to multi-site VCID trials. Key features of MarkVCID participant enrollment, clinical/cognitive testing, and fluid biomarker procedures are summarized here, with full details in the following text, tables, and supplemental material, and a description of the MarkVCID imaging biomarker procedures in a companion paper, "MarkVCID Cerebral small vessel consortium: II. Neuroimaging protocols." The procedures described here address a range of challenges in MarkVCID's design, notably: (1) acquiring all data under informed consent and enrollment procedures that allow unlimited sharing and open-ended analyses without compromising participant privacy rights; (2) acquiring the data in a sufficiently wide range of study participants to allow assessment of candidate biomarkers across the various patient groups who might ultimately be targeted in VCID clinical trials; (3) defining a common dataset of clinical and cognitive elements that contains all the key outcome markers and covariates for VCID studies and is realistically obtainable during a practical study visit; (4) instituting best fluid-handling practices for minimizing avoidable sources of variability; and (5) establishing rigorous procedures for testing the reliability of candidate fluid-based biomarkers across replicates, assay runs, sites, and time intervals (collectively defined as the biomarker's instrumental validity). Participant Enrollment Project sites enroll diverse study cohorts using site-specific inclusion and exclusion criteria so as to provide generalizable validation data across a range of cognitive statuses, risk factor profiles, small vessel disease severities, and racial/ethnic characteristics representative of the diverse patient groups that might be enrolled in a future VCID trial. MarkVCID project sites include both prospectively enrolling centers and centers providing extant data and samples from preexisting community- and population-based studies. With approval of local institutional review boards, all sites incorporate MarkVCID consensus language into their study documents and informed consent agreements. The consensus language asks prospectively enrolled participants to consent to unrestricted access to their data and samples for research analysis within and outside MarkVCID. The data are transferred and stored as a de-identified dataset as defined by the Health Insurance Portability and Accountability Act Privacy Rule. Similar human subject protection and informed consent language serve as the basis for MarkVCID Research Agreements that act as contracts and data/biospecimen sharing agreements across the consortium. Clinical and Cognitive Data Clinical and cognitive data are collected across prospectively enrolling project sites using common MarkVCID instruments. The clinical data elements are modified from study protocols already in use such as the Alzheimer's Disease Center program Uniform Data Set Version 3 (UDS3), with additional focus on VCID-related items such as prior stroke and cardiovascular disease, vascular risk factors, focal neurologic findings, and blood testing for vascular risk markers and kidney function including hemoglobin A1c, cholesterol subtypes, triglycerides, and creatinine. Cognitive assessments and rating instruments include the Clinical Dementia Rating Scale, Geriatric Depression Scale, and most of the UDS3 neuropsychological battery. The cognitive testing requires ≈60 to 90 minutes. Study staff at the prospectively recruiting sites undergo formalized training in all measures and review of their first three UDS3 administrations by the coordinating center. Collection and Handling of Fluid Samples Fluid sample types collected for MarkVCID biomarker kits are serum, ethylenediaminetetraacetic acid-plasma, platelet-poor plasma, and cerebrospinal fluid (CSF) with additional collection of packed cells to allow future DNA extraction and analyses. MarkVCID fluid guidelines to minimize variability include fasting morning fluid collections, rapid processing, standardized handling and storage, and avoidance of CSF contact with polystyrene. Instrumental Validation for Fluid-Based Biomarkers Instrumental validation of MarkVCID fluid-based biomarkers is operationally defined as determination of intra-plate and inter-plate repeatability, inter-site reproducibility, and test-retest repeatability. MarkVCID study participants both with and without advanced small vessel disease are selected for these determinations to assess instrumental validity across the full biomarker assay range. Intra- and inter-plate repeatability is determined by repeat assays of single split fluid samples performed at individual sites. Inter-site reproducibility is determined by assays of split samples distributed to multiple sites. Test-retest repeatability is determined by assay of three samples acquired from the same individual, collected at least 5 days apart over a 30-day period and assayed on a single plate. The MarkVCID protocols are designed to allow direct translation of the biomarker validation results to multicenter trials. They also provide a template for outside groups to perform analyses using identical methods and therefore allow direct comparison of results across studies and centers. All MarkVCID protocols are available to the biomedical community and intended to be shared. In addition to the instrumental validation procedures described here, each of the MarkVCID kits will undergo biological validation to determine whether the candidate biomarker measures important aspects of VCID such as cognitive function. Analytic methods and results of these validation studies for the 11 MarkVCID biomarker kits will be published separately. The results of this rigorous validation process will ultimately determine each kit's potential usefulness for multicenter interventional trials aimed at preventing or treating small vessel disease related VCID.
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Affiliation(s)
- Donna Wilcock
- Sanders-Brown Center on Aging, University of Kentucky College of Medicine, Lexington, KY 40504, USA
| | - Gregory Jicha
- Sanders-Brown Center on Aging, University of Kentucky College of Medicine, Lexington, KY 40504, USA
| | - Deborah Blacker
- Department of Epidemiology, Harvard T.H Chan School of Public Health and Department of Psychiatry, Harvard Medical School, Boston, MA 02115, USA
| | - Marilyn S. Albert
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Lina M. D’Orazio
- Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - Fanny M. Elahi
- Center for Memory and Aging, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94143, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School and Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Jason D. Hinman
- David Geffen School of Medicine, Department of Neurology, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Janice Knoefel
- Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
| | - Joel Kramer
- David Geffen School of Medicine, Department of Neurology, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Richard J. Kryscio
- Sanders-Brown Center on Aging, University of Kentucky College of Medicine, Lexington, KY 40504, USA
| | - Melissa Lamar
- Rush Alzheimer’s Disease Center, Rush University, Chicago, IL, USA
| | - Abhay Moghekar
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Jillian Prestopnik
- Center for Memory and Aging, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
| | - John M. Ringman
- Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - Gary Rosenberg
- Center for Memory and Aging, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
| | - Abhay Sagare
- Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Claudia L. Satizabal
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health San Antonio, San Antonio, TX 78229, USA
| | - Julie Schneider
- Rush Alzheimer’s Disease Center, Rush University, Chicago, IL, USA
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health San Antonio, San Antonio, TX 78229, USA
| | - Sandeepa Sur
- Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Russell P. Tracy
- Department of Pathology and Laboratory Medicine, University of Vermont Larner College of Medicine, Burlington, VT 05405, USA
| | - Sevil Yasar
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Victoria Williams
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705, USA
| | - Herpreet Singh
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Lidiya Mazina
- Neurological Clinical Research Institute, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Karl G. Helmer
- Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA
| | | | - Kristin Schwab
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Pia Kivisäkk
- Alzheimer’s Clinical and Translational Research Unit, Massachusetts General Hospital, Boston, MA 02129, USA
| | - Steven M. Greenberg
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA
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Hansson O, Batrla R, Brix B, Carrillo MC, Corradini V, Edelmayer RM, Esquivel RN, Hall C, Lawson J, Bastard NL, Molinuevo JL, Nisenbaum LK, Rutz S, Salamone SJ, Teunissen CE, Traynham C, Umek RM, Vanderstichele H, Vandijck M, Wahl S, Weber CJ, Zetterberg H, Blennow K. The Alzheimer's Association international guidelines for handling of cerebrospinal fluid for routine clinical measurements of amyloid β and tau. Alzheimers Dement 2021; 17:1575-1582. [PMID: 33788410 DOI: 10.1002/alz.12316] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Accepted: 01/29/2021] [Indexed: 01/01/2023]
Abstract
The core cerebrospinal fluid (CSF) Alzheimer's disease (AD) biomarkers amyloid beta (Aβ42 and Aβ40), total tau, and phosphorylated tau, have been extensively clinically validated, with very high diagnostic performance for AD, including the early phases of the disease. However, between-center differences in pre-analytical procedures may contribute to variability in measurements across laboratories. To resolve this issue, a workgroup was led by the Alzheimer's Association with experts from both academia and industry. The aim of the group was to develop a simplified and standardized pre-analytical protocol for CSF collection and handling before analysis for routine clinical use, and ultimately to ensure high diagnostic performance and minimize patient misclassification rates. Widespread application of the protocol would help minimize variability in measurements, which would facilitate the implementation of unified cut-off levels across laboratories, and foster the use of CSF biomarkers in AD diagnostics for the benefit of the patients.
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Affiliation(s)
- Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.,Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | | | | | | | | | | | | | | | - John Lawson
- Fujirebio Diagnostics Inc, Malvern, Pennsylvania, USA
| | | | - José Luis Molinuevo
- BarcelonaBeta Brain Research Center, Pasqual Maragall Foundation Barcelona, Barcelona, Spain.,AD and Other Cognitive Disorders Unit Hospital Clinic, Barcelona, Spain
| | | | | | | | - Charlotte E Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | | | | | | | | | - Simone Wahl
- Saladax Biomedical, Inc. Bethlehem, Bethlehem, Pennsylvania, USA
| | | | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK.,UK Dementia Research Institute at UCL, London, UK
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
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Yang J, Jia L, Li Y, Qiu Q, Quan M, Jia J. Fluid Biomarkers in Clinical Trials for Alzheimer's Disease: Current and Future Application. J Alzheimers Dis 2021; 81:19-32. [PMID: 33749646 DOI: 10.3233/jad-201068] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
Alzheimer's disease (AD) research is entering a unique moment in which enormous information about the molecular basis of this disease is being translated into therapeutics. However, almost all drug candidates have failed in clinical trials over the past 30 years. These many trial failures have highlighted a need for the incorporation of biomarkers in clinical trials to help improve the trial design. Fluid biomarkers measured in cerebrospinal fluid and circulating blood, which can reflect the pathophysiological process in the brain, are becoming increasingly important in AD clinical trials. In this review, we first succinctly outline a panel of fluid biomarkers for neuropathological changes in AD. Then, we provide a comprehensive overview of current and future application of fluid biomarkers in clinical trials for AD. We also summarize the many challenges that have been encountered in efforts to integrate fluid biomarkers in clinical trials, and the barriers that have begun to be overcome. Ongoing research efforts in the field of fluid biomarkers will be critical to make significant progress in ultimately unveiling disease-modifying therapies in AD.
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Affiliation(s)
- Jianwei Yang
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, People's Republic of China
| | - Longfei Jia
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, People's Republic of China.,National Clinical Research Center for Geriatric Diseases, Beijing, People's Republic of China.,Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, People's Republic of China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, People's Republic of China
| | - Yan Li
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, People's Republic of China
| | - Qiongqiong Qiu
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, People's Republic of China
| | - Meina Quan
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, People's Republic of China
| | - Jianping Jia
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, People's Republic of China.,National Clinical Research Center for Geriatric Diseases, Beijing, People's Republic of China.,Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, People's Republic of China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, People's Republic of China
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47
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Jayachandran M, Miller VM, Lahr BD, Bailey KR, Lowe VJ, Fields JA, Mielke MM, Kantarci K. Peripheral Markers of Neurovascular Unit Integrity and Amyloid-β in the Brains of Menopausal Women. J Alzheimers Dis 2021; 80:397-405. [PMID: 33554914 PMCID: PMC8075395 DOI: 10.3233/jad-201410] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND The identification of blood-borne biomarkers for the diagnosis and prognosis of Alzheimer's disease and related dementias is more feasible at the population level than obtaining cerebrospinal fluid or neuroimaging markers. OBJECTIVE This study determined the association of blood microvesicles, derived from cells of the neurovascular unit, with brain amyloid-β deposition in menopausal women. METHODS A subset of women from the Kronos Early Estrogen Prevention Study underwent brain amyloid-β positron emission tomography three years following cessation of study treatment with placebo (PL, n = 29), transdermal 17β-estradiol (tE2; n = 21), or oral conjugated equine estrogen (oCEE; n = 17). Isolated peripheral venous blood microvesicles were analyzed by digital flow cytometry using fluorophore conjugated antibodies directed toward total tau, amyloid-β 1-42 (Aβ1-42), neuron specific class III β-tubulin (Tuj1), microglia ionized calcium -binding adaptor molecule 1(Iba1), glial fibrillary acid protein (GFAP), and low density lipoprotein receptor-related protein1 (LRP1). Principal components analysis reduced the dimensionality of these selected six markers to two principal components (PCs). Proportional odds ordinal logistic regression analysis was used with amyloid-β deposition regressed on these PCs. RESULTS Only the number of microvesicles positive for Aβ1-42 differed statistically among prior treatment groups (median [IQR]: 6.06 [2.11, 12.55] in PL; 2.49 [0.73, 3.59] in tE2; and 4.96 [0.83, 10.31] in oCEE; p = 0.032). The joint association between the 2 PCs and brain amyloid-β deposition was significant (p = 0.045). CONCLUSION Six selected markers expressing peripheral blood microvesicles derived from cells of the neurovascular unit, when summarized into two principal components, were associated with brain amyloid-β deposition.
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Affiliation(s)
- Muthuvel Jayachandran
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, USA.,Department of Internal Medicine, Divisions of Nephrology and Hypertension and Hematology Research, Mayo Clinic, Rochester, MN, USA
| | - Virginia M Miller
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, USA.,Department of Surgery, Mayo Clinic, Rochester, MN, USA
| | - Brian D Lahr
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Kent R Bailey
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Val J Lowe
- Department of Radiology, Division of Nuclear Medicine, Mayo Clinic, Rochester, MN, USA
| | - Julie A Fields
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Michelle M Mielke
- Department of Health Science Research, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - Kejal Kantarci
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
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2020 update on the clinical validity of cerebrospinal fluid amyloid, tau, and phospho-tau as biomarkers for Alzheimer's disease in the context of a structured 5-phase development framework. Eur J Nucl Med Mol Imaging 2021; 48:2121-2139. [PMID: 33674895 PMCID: PMC8175301 DOI: 10.1007/s00259-021-05258-7] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Accepted: 02/11/2021] [Indexed: 12/15/2022]
Abstract
Purpose In the last decade, the research community has focused on defining reliable biomarkers for the early detection of Alzheimer’s disease (AD) pathology. In 2017, the Geneva AD Biomarker Roadmap Initiative adapted a framework for the systematic validation of oncological biomarkers to cerebrospinal fluid (CSF) AD biomarkers—encompassing the 42 amino-acid isoform of amyloid-β (Aβ42), phosphorylated-tau (P-tau), and Total-tau (T-tau)—with the aim to accelerate their development and clinical implementation. The aim of this work is to update the current validation status of CSF AD biomarkers based on the Biomarker Roadmap methodology. Methods A panel of experts in AD biomarkers convened in November 2019 at a 2-day workshop in Geneva. The level of maturity (fully achieved, partly achieved, preliminary evidence, not achieved, unsuccessful) of CSF AD biomarkers was assessed based on the Biomarker Roadmap methodology before the meeting and presented and discussed during the workshop. Results By comparison to the previous 2017 Geneva Roadmap meeting, the primary advances in CSF AD biomarkers have been in the area of a unified protocol for CSF sampling, handling and storage, the introduction of certified reference methods and materials for Aβ42, and the introduction of fully automated assays. Additional advances have occurred in the form of defining thresholds for biomarker positivity and assessing the impact of covariates on their discriminatory ability. Conclusions Though much has been achieved for phases one through three, much work remains in phases four (real world performance) and five (assessment of impact/cost). To a large degree, this will depend on the availability of disease-modifying treatments for AD, given these will make accurate and generally available diagnostic tools key to initiate therapy. Supplementary Information The online version contains supplementary material available at 10.1007/s00259-021-05258-7.
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49
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Darrow JA, Calabro A, Gannon S, Orusakwe A, Esquivel R, Traynham C, Rao A, Gulyani S, Khingelova K, Bandeen-Roche K, Albert M, Moghekar A. Effect of Patient-Specific Preanalytic Variables on CSF Aβ1-42 Concentrations Measured on an Automated Chemiluminescent Platform. J Appl Lab Med 2021; 6:397-408. [PMID: 33249440 PMCID: PMC8482291 DOI: 10.1093/jalm/jfaa145] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Accepted: 07/28/2020] [Indexed: 12/21/2022]
Abstract
BACKGROUND Cerebrospinal fluid (CSF) biomarkers are increasingly used to confirm the accuracy of a clinical diagnosis of mild cognitive impairment or dementia due to Alzheimer disease (AD). Recent evidence suggests that fully automated assays reduce the impact of some preanalytical factors on the variability of these measures. This study evaluated the effect of several preanalytical variables common in clinical settings on the variability of CSF β-amyloid 1-42 (Aβ1-42) concentrations. METHODS Aβ1-42 concentrations were measured using the LUMIPULSE G1200 from both freshly collected and frozen CSF samples. Preanalytic variables examined were: (1) patient fasting prior to CSF collection, (2) blood contamination of specimens, and (3) aliquoting specimens sequentially over the course of collection (i.e., CSF gradients). RESULTS Patient fasting did not significantly affect CSF Aβ1-42 levels. While assessing gradient effects, Aβ1-42 concentrations remained stable within the first 5 1-mL aliquots. However, there is evidence of a gradient effect toward higher concentrations over successive aliquots. Aβ1-42 levels were stable when fresh CSF samples were spiked with up to 2.5% of blood. However, in frozen CSF samples, even 0.25% blood contamination significantly decreased Aβ1-42 concentrations. CONCLUSIONS The preanalytical variables examined here do not have significant effects on Aβ1-42 concentrations if fresh samples are processed within 2 h. However, a gradient effect can be observed on Aβ1-42 concentrations after the first 5 mL of collection and blood contamination has a significant impact on Aβ1-42 concentrations once specimens have been frozen.
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Affiliation(s)
| | | | | | | | | | | | - Aruna Rao
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD
| | - Seema Gulyani
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD
| | | | - Karen Bandeen-Roche
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Marilyn Albert
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD
| | - Abhay Moghekar
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD
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50
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Lolansen SD, Rostgaard N, Oernbo EK, Juhler M, Simonsen AH, MacAulay N. Inflammatory Markers in Cerebrospinal Fluid from Patients with Hydrocephalus: A Systematic Literature Review. DISEASE MARKERS 2021; 2021:8834822. [PMID: 33613789 PMCID: PMC7875647 DOI: 10.1155/2021/8834822] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 01/06/2021] [Indexed: 02/06/2023]
Abstract
OBJECTIVE The aim of this systematic review was to evaluate existing literature on inflammatory markers in CSF from patients with hydrocephalus and identify potential markers capable of promoting hydrocephalus development and progression. METHODS Relevant studies published before December 3rd 2020 were identified from PubMed, Embase, and reference lists. Studies were screened for eligibility using the predefined inclusion and exclusion criteria. Data from eligible studies were extracted, and sources of bias were evaluated. We included articles written in English investigating inflammatory markers in CSF from patients with hydrocephalus and control subjects. The review was conducted according to the PRISMA guidelines by three independent reviewers. RESULTS Twenty-two studies analyzed CSF from 311 patients with idiopathic normal pressure hydrocephalus (iNPH), 178 with posthemorrhagic hydrocephalus (PHH), 151 with other hydrocephalus diagnoses, and 394 control subjects. Fifty-eight inflammatory markers were investigated. The CSF of iNPH patients had increased CSF levels of IL-6, IL-1β, and LRG compared with control subjects, whereas the CSF of PHH patients had increased levels of IL-6, IL-18, and VEGF. CSF from patients with "other hydrocephalus diagnoses" had elevated IFN-γ compared to control subjects, and VEGF was increased in congenital hydrocephalus, spina bifida, and hydrocephalus associated with tuberculous meningitis compared with controls. CONCLUSION IL-6, IL-1β, LRG, IL-18, VEGF, and IFN-γ are elevated in CSF from patients with hydrocephalus and may be involved in promotion of hydrocephalus development and progression. They may serve as novel disease biomarkers, and their signaling pathways may represent targets for pharmacological management of hydrocephalus.
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Affiliation(s)
| | - Nina Rostgaard
- Department of Neurosurgery, Rigshospitalet, Copenhagen, Denmark
| | - Eva Kjer Oernbo
- Department of Neuroscience, University of Copenhagen, Copenhagen, Denmark
| | - Marianne Juhler
- Department of Neurosurgery, Rigshospitalet, Copenhagen, Denmark
| | - Anja Hviid Simonsen
- Danish Dementia Research Centre, Department of Neurology, Rigshospitalet, Copenhagen, Denmark
| | - Nanna MacAulay
- Department of Neuroscience, University of Copenhagen, Copenhagen, Denmark
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