4.5 Article

Head-to-Head Comparison of 8 Plasma Amyloid-beta 42/40 Assays in Alzheimer Disease

期刊

JAMA NEUROLOGY
卷 78, 期 11, 页码 1375-1382

出版社

AMER MEDICAL ASSOC
DOI: 10.1001/jamaneurol.2021.3180

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资金

  1. Swedish Research Council [2017-00915]
  2. Knut and AliceWallenberg foundation [2017-0383]
  3. Marianne and MarcusWallenberg foundation [2015.0125]
  4. Strategic Research Area MultiPark at Lund University
  5. Swedish Alzheimer Foundation [AF-742881]
  6. Swedish Brain Foundation [FO2019-0326]
  7. Parkinson foundation of Sweden [1280/20]
  8. Skane University Hospital Foundation [2020-O000028, 2020-0314]
  9. Swedish federal government under the ALF agreement [2018-Projekt0279]
  10. GE Healthcare
  11. European Research Council [681712]
  12. Swedish State Support for Clinical Research [ALFGBG-720931]
  13. Alzheimer Drug Discovery Foundation [RDAPB-201809-2016615]
  14. AD Strategic Fund
  15. Alzheimer's Association
  16. Olav Thon Foundation
  17. Erling-Persson Family Foundation
  18. Stiftelsen for Gamla Tjanarinnor [FO2019-0228]
  19. Hjarnfonden [FO2017-0243]
  20. European Union [860197]
  21. UK Dementia Research Institute at UCL
  22. National Institute on Aging
  23. Washington University SILQ Center [18dk0207027h0003]
  24. Swedish government
  25. county councils [ALFGBG-715986]
  26. European Union Joint Program for Neurodegenerative Disorders [JPND2019-466-236]
  27. National Institutes of Health [1R01AG068398-01]
  28. Alzheimer's Disease Neuroimaging Initiative [U01 AG024904, W81XWH-12-2-0012]
  29. National Institute of Biomedical Imaging and Bioengineering
  30. Alzheimer's Drug Discovery Foundation
  31. Araclon Biotech
  32. Cogstate
  33. Elan Corporation
  34. Eli Lilly
  35. Fujirebio, General Electric Healthcare
  36. Johnson & Johnson Pharmaceutical Research & Development, Lumosity
  37. Meso Scale Diagnostics
  38. Novartis Pharmaceuticals Corporation
  39. Canadian Institutes of Health Research
  40. Alzheimer's Disease Neuroimaging Initiative clinical sites in Canada
  41. Foundation for the National Institutes of Health
  42. Northern California Institute for Research and Education

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The study conducted in three different hospitals in Sweden from 2010 to 2014 found that certain mass spectrometry-based methods performed better for detecting brain A beta pathology compared to most immunoassays for plasma A beta 42/40 in patients with early Alzheimer's disease.
IMPORTANCE Blood-based tests for brain amyloid-beta (A beta) pathology are needed for widespread implementation of Alzheimer disease (AD) biomarkers in clinical care and to facilitate patient screening and monitoring of treatment responses in clinical trials. OBJECTIVE To compare the performance of plasma A beta 42/40 measured using 8 different A beta assays when detecting abnormal brain A beta status in patients with early AD. DESIGN, SETTING, AND PARTICIPANTS This study included 182 cognitively unimpaired participants and 104 patients with mild cognitive impairment from the BioFINDER cohort who were enrolled at 3 different hospitals in Sweden and underwent A beta positron emission tomography (PET) imaging and cerebrospinal fluid (CSF) and plasma collection from 2010 to 2014. Plasma A beta 42/40 was measured using an immunoprecipitation-coupled mass spectrometry developed at Washington University (IP-MS-WashU), antibody-free liquid chromatography MS developed by Araclon (LC-MS-Arc), and immunoassays from Roche Diagnostics (IA-Elc); Euroimmun (IA-EI); and Amsterdam University Medical Center, ADx Neurosciences, and Quanterix (IA-N4PE). Plasma A beta 42/40 was also measured using an IP-MS-based method from Shimadzu in 200 participants (IP-MS-Shim) and an IP-MS-based method from the University of Gothenburg (IP-MS-UGOT) and another immunoassay from Quanterix (IA-Quan) among 227 participants. For validation, 122 participants (51 cognitively normal, 51 with mild cognitive impairment, and 20 with AD dementia) were included from the Alzheimer Disease Neuroimaging Initiative who underwent A beta-PET and plasma A beta assessments using IP-MS-WashU, IP-MS-Shim, IP-MS-UGOT, IA-Elc, IA-N4PE, and IA-Quan assays. MAIN OUTCOMES AND MEASURES Discriminative accuracy of plasma A beta 42/40 quantified using 8 different assays for abnormal CSF A beta 42/40 and A beta-PET status. RESULTS A total of 408 participants were included in this study. In the BioFINDER cohort, the mean (SD) age was 71.6 (5.6) years and 49.3% of the cohort were women. When identifying participants with abnormal CSF A beta 42/40 in the whole cohort, plasma IP-MS-WashU A beta 42/40 showed significantly higher accuracy (area under the receiver operating characteristic curve [AUC], 0.86; 95% CI, 0.81-0.90) than LC-MS-Arc A beta 42/40, IA-Elc A beta 42/40, IA-EI A beta 42/40, and IA-N4PE A beta 42/40 (AUC range, 0.69-0.78; P < .05). Plasma IP-MS-WashU A beta 42/40 performed significantly better than IP-MS-UGOT A beta 42/40 and IA-Quan A beta 42/40 (AUC, 0.84 vs 0.68 and 0.64, respectively; P < .001), while there was no difference in the AUCs between IP-MS-WashU A beta 42/40 and IP-MS-Shim A beta 42/40 (0.87 vs 0.83; P = .16) in the 2 subcohorts where these biomarkers were available. The results were similar when using A beta-PET as outcome. Plasma IPMS-WashU A beta 42/40 and IPMS-Shim A beta 42/40 showed highest coefficients for correlations with CSF A beta 42/40 (r range, 0.56-0.65). The BioFINDER results were replicated in the Alzheimer Disease Neuroimaging Initiative cohort (mean [SD] age, 72.4 [5.4] years; 43.4% women), where the IP-MS-WashU assay performed significantly better than the IP-MS-UGOT, IA-Elc, IA-N4PE, and IA-Quan assays but not the IP-MS-Shim assay. CONCLUSIONS AND RELEVANCE The results from 2 independent cohorts indicate that certain MS-based methods performed better than most of the immunoassays for plasma A beta 42/40 when detecting brain A beta pathology.

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