4.5 Article

Comparative Analysis of Alzheimer's Disease Cerebrospinal Fluid Biomarkers Measurement by Multiplex SOMAscan Platform and Immunoassay-Based Approach

Journal

JOURNAL OF ALZHEIMERS DISEASE
Volume 89, Issue 1, Pages 193-207

Publisher

IOS PRESS
DOI: 10.3233/JAD-220399

Keywords

Alzheimer's disease; assays; cerebrospinal fluid biomarkers; correlation; SOMAscan

Categories

Funding

  1. National Institutes of Health [R01AG044546, P01AG003991, RF1AG053303, RF1AG058501, U01AG058922]
  2. Chuck Zuckerberg Initiative
  3. NIH [P30AG066444, P01AG03991, P01AG026276]
  4. Hope Center for Neurological Disorders
  5. Neurogenomics and Informatics Center
  6. Departments of Neurology and Psychiatry at Washington University School of Medicine
  7. Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health) [U01AG024904]
  8. DODADNI (Department of Defense) [W81XWH-12-2-0012]
  9. National Institute on Aging
  10. National Institute of Biomedical Imaging and Bioengineering
  11. AbbVie
  12. Alzheimer's Association
  13. Alzheimer's Drug Discovery Foundation
  14. Araclon Biotech
  15. BioClinica, Inc.
  16. Biogen
  17. BristolMyers Squibb Company
  18. CereSpir, Inc.
  19. Cogstate
  20. Eisai Inc.
  21. Elan Pharmaceuticals, Inc.
  22. Eli Lilly and Company
  23. EuroImmun
  24. F. Hoffmann-La Roche Ltd.
  25. Genentech, Inc.
  26. Fujirebio
  27. GE Healthcare
  28. IXICO Ltd.
  29. Janssen Alzheimer Immunotherapy Research & Development, LLC
  30. Johnson & Johnson Pharmaceutical Research & Development LLC
  31. Lumosity
  32. Lundbeck
  33. Merck Co., Inc.
  34. Meso Scale Diagnostics, LLC
  35. NeuroRx Research
  36. Neurotrack Technologies
  37. Novartis Pharmaceuticals Corporation
  38. Pfizer Inc.
  39. Piramal Imaging
  40. Servier
  41. Takeda Pharmaceutica l Company
  42. Transition Therapeutics
  43. Canadian Institutes of Health Research
  44. Dominantly Inherited Alzheimer Network (DIAN) - National Institute on Aging (NIA) [U19AG032438]
  45. Alzheimer's Association [SG-20-690363-DIAN]
  46. German Center for Neurodegenerative Diseases (DZNE)
  47. Raul Carrea Institute for Neurological Research (FLENI)
  48. Japan Agency for Medical Research and Development, AMED
  49. Korea Health Industry Development Institute (KHIDI)
  50. Spanish Institute of Health Carlos III (ISCIII)
  51. Canadian Institutes of Health Research (CIHR)
  52. Canadian Consortium of Neurodegeneration and Aging
  53. Brain Canada Foundation
  54. Fonds de Recherche du Quebec -Sante

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This study compared the measurement results of SOMAscan and immunoassay-based methods for five cerebrospinal fluid proteins associated with Alzheimer's disease and neurodegeneration. The results showed that SOMAscan performed as well as immunoassay methods for NfL, Neurogranin, VILIP-1, and sTREM2, but showed weaker correlation for SNAP-25.
Background: The SOMAscan assay has an advantage over immunoassay-based methods because it measures a large number of proteins in a cost-effective manner. However, the performance of this technology compared to the routinely used immunoassay techniques needs to be evaluated. Objective: We performed comparative analyses of SOMAscan and immunoassay-based protein measurements for five cerebrospinal fluid (CSF) proteins associated with Alzheimer's disease (AD) and neurodegeneration: NfL, Neurogranin, sTREM2, VILIP-1, and SNAP-25. Methods: We compared biomarkers measured in ADNI (N = 689), Knight-ADRC (N = 870), DIAN (N = 115), and Barcelona-1 (N = 92) cohorts. Raw protein values were transformed using z-score in order to combine measures from the different studies. sTREM2 and VILIP-1 had more than one analyte in SOMAscan; all available analytes were evaluated. Pearson's correlation coefficients between SOMAscan and immunoassays were calculated. Receiver operating characteristic curve and area under the curve were used to compare prediction accuracy of these biomarkers between the two platforms. Results: Neurogranin, VILIP-1, and NfL showed high correlation between SOMAscan and immunoassay measures (r > 0.9). sTREM2 had a fair correlation (r > 0.6), whereas SNAP-25 showed weak correlation (r = 0.06). Measures in both platforms provided similar predicted performance for all biomarkers except SNAP-25 and one of the sTREM2 analytes. sTREM2 showed higher AUC for SOMAscan based measures. Conclusion: Our data indicate that SOMAscan performs as well as immunoassay approaches for NfL, Neurogranin, VILIP-1, and sTREM2. Our study shows promise for using SOMAscan as an alternative to traditional immunoassay-based measures. Follow-up investigation will be required for SNAP-25 and additional established biomarkers.

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