4.7 Article

Unfavourable gender effect of high body mass index on brain metabolism and connectivity

Journal

SCIENTIFIC REPORTS
Volume 8, Issue -, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41598-018-30883-y

Keywords

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Funding

  1. Italian Ministry of Health [AD NET-2011-02346784]
  2. IVASCOMAR project Identificazione, validazione e sviluppo commerciale di nuovi biomarcatori diagnostici prognostici per malattie complesse [CTN01_00177_165430]
  3. Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health) [U01 AG024904]
  4. DOD ADNI [W81XWH-12-2-0012]
  5. National Institute on Aging
  6. National Institute of Biomedical Imaging and Bioengineering
  7. AbbVie
  8. Alzheimer's Association
  9. Alzheimer's Drug Discovery Foundation
  10. Araclon Biotech
  11. BioClinica, Inc.
  12. Biogen
  13. Bristol-Myers Squibb Company
  14. CereSpir, Inc.
  15. Cogstate
  16. Eisai Inc.
  17. Elan Pharmaceuticals, Inc.
  18. Eli Lilly and Company
  19. EuroImmun
  20. F. Hoffmann-La Roche Ltd
  21. Genentech, Inc.
  22. Fujirebio
  23. GE Healthcare
  24. IXICO Ltd.
  25. Janssen Alzheimer Immunotherapy Research & Development, LLC.
  26. Johnson & Johnson Pharmaceutical Research & Development LLC.
  27. Lumosity
  28. Lundbeck
  29. Merck Co., Inc.
  30. Meso Scale Diagnostics, LLC.
  31. NeuroRx Research
  32. Neurotrack Technologies
  33. Novartis Pharmaceuticals Corporation
  34. Pfizer Inc.
  35. Piramal Imaging
  36. Servier
  37. Takeda Pharmaceutical Company
  38. Transition Therapeutics
  39. Canadian Institutes of Health Research

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The influence of Body Mass Index (BMI) on neurodegeneration in dementia has yet to be elucidated. We aimed at exploring the effects of BMI levels on cerebral resting-state metabolism and brain connectivity, as crucial measures of synaptic function and activity, in a large group of patients with Alzheimer's Dementia (AD) (n = 206), considering gender. We tested the correlation between BMI levels and brain metabolism, as assessed by F-18-FDG-PET, and the modulation of the resting-state functional networks by BMI. At comparable dementia severity, females with high BMI can withstand a lower degree of brain metabolism dysfunction, as shown by a significant BMI-brain metabolism correlation in the temporal-parietal regions, which are typically vulnerable to AD pathology (R = 0.269, p = 0.009). Of note, high BMI was also associated with reduced connectivity in frontal and limbic brain networks, again only in AD females (p < 0.05 FDR-corrected, k = 100 voxels). This suggests a major vulnerability of neural systems known to be selectively involved in brain compensatory mechanisms in AD females. These findings indicate a strong gender effect of high BMI and obesity in AD, namely reducing the available reserve mechanisms in female patients. This brings to considerations for medical practice and health policy.

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