Diffusion Basis Spectrum Imaging in Midlife Obesity: Associations with Abdominal Adipose Tissue

Abstract Background Obesity and abdominal adiposity in midlife are shown to increase the risk of Alzheimer disease. However, it is not clear whether midlife adiposity is associated with increased neuroinflammation. We aimed to investigate the associations of obesity, BMI of 30 kg/m 2 or higher, and abdominal visceral and subcutaneous adipose tissue (VAT and SAT) with brain histology, using diffusion basis spectrum imaging (DBSI) analysis; Method In total, 54 cognitively normal middle‐aged subjects (50.46±6.19 years, male: 21 (38.9%), obesity: 32 (59.3 %), BMI: 32.18±6.99 kg/m 2 ) underwent brain and abdominal 3T MRI. Abdominal VAT and SAT were semi‐automatically segmented using VOXel Analysis Suite (Voxa). A DBSI scheme with a total of 98 diffusion samplings was acquired followed by movement and eddy current correction and brain tissue extraction in FSL. DBSI maps including fractional anisotropy (FA, overall integrity), axial diffusivity (AD, axonal injury), radial diffusivity (RD, myelin loss), restricted fraction (RF, inflammation cellularity), hindered fraction (HF, extracellular edema), and fiber fraction (FF, axonal density) were generated using in‐house software scripted in MATLAB. DBSI‐derived maps were processed using a tract‐based spatial statistics (TBSS) pipeline for whole‐brain white matter voxel‐wise analyses. Using the Randomize tool from FSL, the difference between obese vs. non‐obese, high‐VAT vs. low‐VAT, and high‐SAT vs. low‐SAT groups were investigated for each DBSI‐derived skeleton, with age and sex as covariates, and a threshold of 0.05 for false‐discovery rate. The sex differences were further investigated; Result Lower FF and AD and higher RF in widespread white matter areas were observed in the obese vs. non‐obese group, and in the high‐SAT vs. low‐SAT group. Lower AD and higher RF were observed for the high‐VAT vs. low‐VAT group. All of these differences were only significant in females, not males, but higher RF in obese vs. non‐obese was observed both in males and females; Conclusion Our data support lower axonal density and fiber integrity, as well as higher inflammation cellularity in cognitively normal, middle‐aged obese individuals, and those with high VAT and high SAT, especially in females. Overall, our data suggest the differential role of visceral and subcutaneous abdominal fat in promoting neuroinflammation and axonal damage.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.089979
Primary Topic
Cardiovascular Disease and Adiposity
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Diffusion Basis Spectrum Imaging in Midlife Obesity: Associations with Abdominal Adipose Tissue

Tammie L.S. Benzinger, Joseph E. Ippolito, Bettina Mittendorfer, Claude B. Sirlin et al.
Alzheimer s & Dementia
Cardiovascular Disease and Adiposity
article

Diffusion Basis Spectrum Imaging in Midlife Obesity: Associations with Abdominal Adipose Tissue

Tammie L.S. Benzinger, Joseph E. Ippolito, Bettina Mittendorfer, Claude B. Sirlin, Mahsa Dolatshahi, Sheng‐Kwei Song, Farzaneh Rahmani, Cyrus A. Raji, LaKisha Lloyd, Paul K. Commean, Caitlyn Nguyen, Sara Hosseinzadeh Kasani, John C. Morris
article en

Abstract

Abstract Background Obesity and abdominal adiposity in midlife are shown to increase the risk of Alzheimer disease. However, it is not clear whether midlife adiposity is associated with increased neuroinflammation. We aimed to investigate the associations of obesity, BMI of 30 kg/m 2 or higher, and abdominal visceral and subcutaneous adipose tissue (VAT and SAT) with brain histology, using diffusion basis spectrum imaging (DBSI) analysis; Method In total, 54 cognitively normal middle‐aged subjects (50.46±6.19 years, male: 21 (38.9%), obesity: 32 (59.3 %), BMI: 32.18±6.99 kg/m 2 ) underwent brain and abdominal 3T MRI. Abdominal VAT and SAT were semi‐automatically segmented using VOXel Analysis Suite (Voxa). A DBSI scheme with a total of 98 diffusion samplings was acquired followed by movement and eddy current correction and brain tissue extraction in FSL. DBSI maps including fractional anisotropy (FA, overall integrity), axial diffusivity (AD, axonal injury), radial diffusivity (RD, myelin loss), restricted fraction (RF, inflammation cellularity), hindered fraction (HF, extracellular edema), and fiber fraction (FF, axonal density) were generated using in‐house software scripted in MATLAB. DBSI‐derived maps were processed using a tract‐based spatial statistics (TBSS) pipeline for whole‐brain white matter voxel‐wise analyses. Using the Randomize tool from FSL, the difference between obese vs. non‐obese, high‐VAT vs. low‐VAT, and high‐SAT vs. low‐SAT groups were investigated for each DBSI‐derived skeleton, with age and sex as covariates, and a threshold of 0.05 for false‐discovery rate. The sex differences were further investigated; Result Lower FF and AD and higher RF in widespread white matter areas were observed in the obese vs. non‐obese group, and in the high‐SAT vs. low‐SAT group. Lower AD and higher RF were observed for the high‐VAT vs. low‐VAT group. All of these differences were only significant in females, not males, but higher RF in obese vs. non‐obese was observed both in males and females; Conclusion Our data support lower axonal density and fiber integrity, as well as higher inflammation cellularity in cognitively normal, middle‐aged obese individuals, and those with high VAT and high SAT, especially in females. Overall, our data suggest the differential role of visceral and subcutaneous abdominal fat in promoting neuroinflammation and axonal damage.

Alzheimer s & DementiaVol. 20(S2)
Washington University in St. Louis (US), University of California San Diego (US), Mallinckrodt (United States) (US), Prevent Alzheimer’s Disease 2020 (US), University of Missouri (US)
Good health and well-being
Openalex Percentile: Top 55%
Cardiovascular Disease and Adiposity
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.