4.5 Article

Weight Loss is a Preclinical Signal of Cerebral Amyloid Deposition and Could Predict Cognitive Impairment in Elderly Adults

期刊

JOURNAL OF ALZHEIMERS DISEASE
卷 77, 期 1, 页码 449-456

出版社

IOS PRESS
DOI: 10.3233/JAD-200524

关键词

Alzheimer's disease; amyloid; body mass index; longitudinal

资金

  1. National Natural Science Foundation of China [91849126]
  2. Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health) [U01AG024904]
  3. DODADNI (Department of Defense) [W81XWH-12-2-0012]
  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. BristolMyers 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
  20. Genentech, Inc.
  21. Fujirebio
  22. GE Healthcare
  23. IXICO Ltd.
  24. Janssen Alzheimer Immunotherapy Research & Development, LLC.
  25. Johnson & Johnson Pharmaceutical Research & Development LLC.
  26. Lumosity
  27. Lundbeck
  28. Merck Co., Inc.
  29. Meso Scale Diagnostics, LLC.
  30. NeuroRx Research
  31. Neurotrack Technologies
  32. Novartis Pharmaceuticals Corporation
  33. Pfizer Inc.
  34. Piramal Imaging
  35. Servier
  36. Takeda Pharmaceutical Company
  37. Transition Therapeutics
  38. Canadian Institutes of Health Research

向作者/读者索取更多资源

Background: Higher late-life body mass index (BMI) was associated with reduced risk of Alzheimer's disease (AD), which might be explained by a reverse causal relationship. Objective: To investigate whether weight loss was a preclinical manifestation of AD pathologies and could be a predictor of cognitive impairment. Methods: A total of 1,194 participants (mean age = 73.2 [range: 54 to 91] years, female = 44.5%) from the Alzheimer's Disease Neuroimaging Initiative (ADNI) were grouped according to AD biomarker profile as indicated by amyloid (A) and tau (TN) status and clinical stage by clinical dementia rating (CDR). BMI across the biomarker-defined clinical stages was compared with Bonferroni correction. Pearson correlation analysis was performed to test the relationship between the amyloid change by PET and the BMI change. Multiple regression models were used to explore the influences of amyloid pathologies on BMI change as well as the effects of weight loss on longitudinal changes of global cognitive function. Results: BMI was significantly decreased in AD preclinical stage (amyloid positive [A+] and CDR = 0) and dementia stage (A+/TN+ and CDR = 0.5 or 1), compared with the healthy controls (A-/TN- and CDR = 0, p < 0.005), while no significant differences were observed between preclinical AD and AD dementia. Amyloid PET change was inversely correlated with BMI change (p = 0.023, 0 = -14). Individuals in amyloid positive group exhibited faster weight loss (time x group interaction p = 0.019, 0 = -0.20) compared to the amyloid negative group. Greater weight loss predicted higher risk of developing cognitive disorders. Conclusion: Elders who experienced greater weight loss might belong to preclinical stage of AD and could be targeted for primary prevention of the disease.

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