Investigation of Brain Signatures Across Diverse Metabolic States in MCI

Abstract Background Late‐life obesity has been reported to have a negative relationship with risk for dementia and has been associated with lower risk of incident Alzheimer’s disease (AD) in non‐demented individuals. However, associations of obesity and cognition solely in patients with mild cognitive impairment (MCI) is unknown. These associations may be confounded by vascular risk that contributes to metabolic syndrome (MetS). This study investigates the complex interplay between obesity, metabolic syndrome, and neurodegeneration in MCI. We analyze neuroimaging measures, AD biomarkers including amyloid‐beta (Aβ) and tau levels in the cerebrospinal fluid (CSF), and a machine‐learning based imaging signature of AD‐like brain atrophy (the SPARE‐AD index) in distinct metabolic subgroups. Methods This study included N = 705 MCI patients (age = 75.3+‐7 years, 61% females) scanned with a median follow‐up interval of 30.3 months from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). N = 139 participants developed dementia. Participants were categorized as metabolic healthy (MH, N = 126) or unhealthy (MU, N = 579) based on MetS criteria, and further as normal weight (NW), overweight (OW), or obese (OB) based on their BMI. Risk of incident dementia among the metabolic states was evaluated using Cox regression. Volumetric brain changes, SPARE‐AD, and CSF total‐tau, p‐tau 181 , and Aβ 1‐42 were analyzed separately using linear models with metabolic state as the predictor, corrected for APOE genotype, age, sex, education, and intracranial volume (volumetric data only). Results were corrected for multiple comparisons using the False Discovery Rate method. Results When compared to MH‐NW participants, only MU‐OB participants had a significantly lower risk for incident dementia (Hazard Ratio = 0.430, p<0.05), lower (more normal) SPARE‐AD (p = 0.029), total‐tau (p = 0.02) and p‐tau 181 (p = 0.006). MU‐OB and MU‐OW participants had significantly higher volumes (p<0.05) of bilateral hippocampi, left temporal white matter, left posterior cingulate gyrus, and the right parahippocampal gyrus, and significantly lower volumes in the right anterior orbital gyrus. A similar pattern of was not observed in other subgroups. Conclusion Obese MCI patients with MetS had lower incident dementia, less AD‐like brain shrinkage and more favorable AD biomarkers. Our findings suggest that the cognitive impairment in MU‐high BMI groups might originate from causes unrelated to AD, and might be related to the vascular and metabolic changes.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.086466
Primary Topic
Diet and metabolism studies
Type
article
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article

Investigation of Brain Signatures Across Diverse Metabolic States in MCI

Ilya M. Nasrallah, Güray Erus, Christos A. Davatzikos, Randa Melhem et al.
Alzheimer s & Dementia
Diet and metabolism studies
article

Investigation of Brain Signatures Across Diverse Metabolic States in MCI

Ilya M. Nasrallah, Güray Erus, Christos A. Davatzikos, Randa Melhem, Haochang Shou, Ahmed Abdulkadir, Sindhuja Tirumalai Govindarajan, Yuhan Cui, Duygu Tosun, Filippos Anagnostakis, Elizabeth Mamourian
article en

Abstract

Abstract Background Late‐life obesity has been reported to have a negative relationship with risk for dementia and has been associated with lower risk of incident Alzheimer’s disease (AD) in non‐demented individuals. However, associations of obesity and cognition solely in patients with mild cognitive impairment (MCI) is unknown. These associations may be confounded by vascular risk that contributes to metabolic syndrome (MetS). This study investigates the complex interplay between obesity, metabolic syndrome, and neurodegeneration in MCI. We analyze neuroimaging measures, AD biomarkers including amyloid‐beta (Aβ) and tau levels in the cerebrospinal fluid (CSF), and a machine‐learning based imaging signature of AD‐like brain atrophy (the SPARE‐AD index) in distinct metabolic subgroups. Methods This study included N = 705 MCI patients (age = 75.3+‐7 years, 61% females) scanned with a median follow‐up interval of 30.3 months from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). N = 139 participants developed dementia. Participants were categorized as metabolic healthy (MH, N = 126) or unhealthy (MU, N = 579) based on MetS criteria, and further as normal weight (NW), overweight (OW), or obese (OB) based on their BMI. Risk of incident dementia among the metabolic states was evaluated using Cox regression. Volumetric brain changes, SPARE‐AD, and CSF total‐tau, p‐tau 181 , and Aβ 1‐42 were analyzed separately using linear models with metabolic state as the predictor, corrected for APOE genotype, age, sex, education, and intracranial volume (volumetric data only). Results were corrected for multiple comparisons using the False Discovery Rate method. Results When compared to MH‐NW participants, only MU‐OB participants had a significantly lower risk for incident dementia (Hazard Ratio = 0.430, p<0.05), lower (more normal) SPARE‐AD (p = 0.029), total‐tau (p = 0.02) and p‐tau 181 (p = 0.006). MU‐OB and MU‐OW participants had significantly higher volumes (p<0.05) of bilateral hippocampi, left temporal white matter, left posterior cingulate gyrus, and the right parahippocampal gyrus, and significantly lower volumes in the right anterior orbital gyrus. A similar pattern of was not observed in other subgroups. Conclusion Obese MCI patients with MetS had lower incident dementia, less AD‐like brain shrinkage and more favorable AD biomarkers. Our findings suggest that the cognitive impairment in MU‐high BMI groups might originate from causes unrelated to AD, and might be related to the vascular and metabolic changes.

Alzheimer s & DementiaVol. 20(S7)
Intel (United States) (US), University of California, San Francisco (US), University of Pennsylvania (US)
Openalex Percentile: Top 65%
Diet and metabolism studies
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