4.7 Article

Identification and validation of Alzheimer's disease-related metabolic brain pattern in biomarker confirmed Alzheimer's dementia patients

Journal

SCIENTIFIC REPORTS
Volume 12, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41598-022-15667-9

Keywords

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Funding

  1. Slovenian Research Agency (ARRS)
  2. National Institutes of Health
  3. DOD ADNI (Department of Defense)
  4. National Institute on Aging
  5. National Institute of Biomedical Imaging and Bioengineering
  6. AbbVie
  7. Alzheimer's Association
  8. Alzheimer's Drug Discovery Foundation
  9. Araclon Biotech
  10. BioClinica, Inc.
  11. Biogen
  12. Bristol-Myers Squibb Company
  13. CereSpir, Inc.
  14. Cogstate
  15. Eisai Inc.
  16. Elan Pharmaceuticals, Inc.
  17. Eli Lilly and Company
  18. EuroImmun
  19. F. Hoffmann-La Roche Ltd and its affiliated company Genentech, Inc.
  20. Fujirebio
  21. GE Healthcare
  22. IXICO Ltd.
  23. Janssen Alzheimer Immunotherapy Research & Development, LLC. [P1-0389, J7-2600, J7-3150]
  24. Johnson & Johnson Pharmaceutical Research & Development LLC. [U01 AG024904]
  25. Lumosity [W81XWH-12-2-0012]
  26. Lundbeck
  27. Merck Co., Inc.
  28. Meso Scale Diagnostics, LLC.
  29. NeuroRx Research
  30. Neurotrack Technologies
  31. Novartis Pharmaceuticals Corporation
  32. Pfizer Inc.
  33. Piramal Imaging
  34. Servier
  35. Takeda Pharmaceutical Company
  36. Transition Therapeutics
  37. Canadian Institutes of Health Research

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Metabolic brain biomarkers have been incorporated into diagnostic guidelines for neurodegenerative diseases, and a homogeneous sample is needed to improve their accuracy. In this study, we aimed to identify and validate an Alzheimer's disease-related pattern (ADRP) in AD patients with confirmed diagnosis. We found that ADRP expression differentiated AD from other types of dementia and correlated with clinical measures of cognition and neuropsychological indices.
Metabolic brain biomarkers have been incorporated in various diagnostic guidelines of neurodegenerative diseases, recently. To improve their diagnostic accuracy a biologically and clinically homogeneous sample is needed for their identification. Alzheimer's disease-related pattern (ADRP) has been identified previously in cohorts of clinically diagnosed patients with dementia due to Alzheimer's disease (AD), meaning that its diagnostic accuracy might have been reduced due to common clinical misdiagnosis. In our study, we aimed to identify ADRP in a cohort of AD patients with CSF confirmed diagnosis, validate it in large out-of-sample cohorts and explore its relationship with patients' clinical status. For identification we analyzed 2-[F-18]FDG PET brain scans of 20 AD patients and 20 normal controls (NCs). For validation, 2-[F-18]FDG PET scans from 261 individuals with AD, behavioral variant of frontotemporal dementia, mild cognitive impairment and NC were analyzed. We identified an ADRP that is characterized by relatively reduced metabolic activity in temporoparietal cortices, posterior cingulate and precuneus which co-varied with relatively increased metabolic activity in the cerebellum. ADRP expression significantly differentiated AD from NC (AUC = 0.95) and other dementia types (AUC = 0.76-0.85) and its expression correlated with clinical measures of global cognition and neuropsychological indices in all cohorts.

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