4.6 Article

Inflammatory pathway analytes predicting rapid cognitive decline in MCI stage of Alzheimer's disease

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出版社

WILEY
DOI: 10.1002/acn3.51109

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资金

  1. Alzheimer's Association [2014-NIRG-305310]
  2. NIA [K23AG055685, 1P30 AG062428-01]
  3. Jane and Lee Seidman fund
  4. National Institute On Aging of the National Institutes of Health [K23AG055685]
  5. Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health) [U01 AG024904]
  6. DOD ADNI (Department of Defense) [W81XWH-12-2-0012]
  7. National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering
  8. Canadian Institutes of Health Research
  9. AbbVie
  10. Alzheimer's Association
  11. Alzheimer's Drug Discovery Foundation
  12. Araclon Biotech
  13. BioClinica, Inc.
  14. Biogen
  15. Bristol-Myers Squibb Company
  16. CereSpir, Inc.
  17. Cogstate
  18. Eisai Inc.
  19. Elan Pharmaceuticals, Inc.
  20. Eli Lilly and Company
  21. EuroImmun
  22. F. Hoffmann-La Roche Ltd
  23. Genentech, Inc.
  24. Fujirebio
  25. GE Healthcare
  26. IXICO Ltd.
  27. Janssen Alzheimer Immunotherapy Research & Development, LLC.
  28. Johnson & Johnson Pharmaceutical Research & Development LLC.
  29. Lumosity
  30. Lundbeck
  31. Merck Co., Inc.
  32. Meso Scale Diagnostics, LLC.
  33. NeuroRx Research
  34. Neurotrack Technologies
  35. Novartis Pharmaceuticals Corporation
  36. Pfizer Inc
  37. Piramal Imaging
  38. Servier
  39. Takeda Pharmaceutical Company
  40. Transition Therapeutics

向作者/读者索取更多资源

Objective To determine the inflammatory analytes that predict clinical progression and evaluate their performance against biomarkers of neurodegeneration. Methods A longitudinal study of MCI-AD patients in a Discovery cohort over 15 months, with replication in the Alzheimer's Disease Neuroimaging Initiative (ADNI) MCI cohort over 36 months. Fifty-three inflammatory analytes were measured in the CSF and plasma with a RBM multiplex analyte platform. Inflammatory analytes that predict clinical progression on Clinical Dementia Rating Scale-Sum of Boxes (CDR-SB) and Mini Mental State Exam scores were assessed in multivariate regression models. To provide context, key analyte results in ADNI were compared against biomarkers of neurodegeneration, hippocampal volume, and CSF neurofilament light (NfL), in receiver operating characteristic (ROC) analyses evaluating highest quartile of CDR-SB change over two years (>= 3 points). Results Cerebrospinal fluid inflammatory analytes in relation to cognitive decline were best described by gene ontology terms, natural killer cell chemotaxis, and endothelial cell apoptotic process and in plasma, extracellular matrix organization, blood coagulation, and fibrin clot formation described the analytes. CSF CCL2 was most robust in predicting rate of cognitive change and analytes that correlated to CCL2 suggest IL-10 pathway dysregulation. The ROC curves for >= 3 points change in CDR-SB over 2 years when comparing baseline hippocampal volume, CSF NfL, and CCL2 were not significantly different. Interpretation Baseline levels of immune cell chemotactic cytokine CCL2 in the CSF and IL-10 pathway dysregulation impact longitudinal cognitive and functional decline in MCI-AD. CCL2's utility appears comparable to biomarkers of neurodegeneration in predicting rapid decline.

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