Insulin resistance, cognition, and functional brain network topology in older adults with obesity
Abstract Cross-sectional data from a sample of older adults with obesity was used to determine how peripheral insulin resistance (PIR) and neuronal insulin signaling abnormalities (NISAs) relate to executive function and functional brain network topology. Older adults (n = 71) with obesity but witho...
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| Format: | Article |
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Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-06038-1 |
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| author | Clayton C. McIntyre Robert G. Lyday Yixin Su Barbara Nicklas Sean L. Simpson Gagan Deep Shannon L. Macauley Christina E. Hugenschmidt |
| author_facet | Clayton C. McIntyre Robert G. Lyday Yixin Su Barbara Nicklas Sean L. Simpson Gagan Deep Shannon L. Macauley Christina E. Hugenschmidt |
| author_sort | Clayton C. McIntyre |
| collection | DOAJ |
| description | Abstract Cross-sectional data from a sample of older adults with obesity was used to determine how peripheral insulin resistance (PIR) and neuronal insulin signaling abnormalities (NISAs) relate to executive function and functional brain network topology. Older adults (n = 71) with obesity but without type 2 diabetes were included. PIR was quantified by HOMA2-IR. NISAs were quantified according to an established neuron-derived small-extracellular-vesicle-based metric, R. An executive function composite score, summed scores to the Auditory Verbal Learning Test (AVLT) trials 1–5, and functional brain networks generated from resting-state functional magnetic resonance imaging data were outcomes in analyses. We used general linear models and a novel regression framework for brain network analysis to identify relationships between insulin-related biomarkers and brain-related outcomes. HOMA2-IR, but not R, was negatively associated with executive function. Neither measure was associated with AVLT score. HOMA2-IR was also related to hippocampal network topology in participants who had undergone functional neuroimaging. Neither HOMA2-IR nor R were significantly related to network topology of the central executive network. This study provides further evidence that PIR is associated with aging brain function. NISAs were not found to be related to PIR, cognition, or functional brain network topology. |
| format | Article |
| id | doaj-art-5de7014d4d0c415b816b131b2b8de9fb |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-5de7014d4d0c415b816b131b2b8de9fb2025-08-20T03:37:30ZengNature PortfolioScientific Reports2045-23222025-07-0115111110.1038/s41598-025-06038-1Insulin resistance, cognition, and functional brain network topology in older adults with obesityClayton C. McIntyre0Robert G. Lyday1Yixin Su2Barbara Nicklas3Sean L. Simpson4Gagan Deep5Shannon L. Macauley6Christina E. Hugenschmidt7Neuroscience Graduate Program, Wake Forest Graduate School of Arts and SciencesDepartment of Radiology, Wake Forest University School of MedicineDepartment of Gerontology and Geriatric Medicine, Wake Forest University School of MedicineDepartment of Gerontology and Geriatric Medicine, Wake Forest University School of MedicineDepartment of Biostatistics and Data Science, Wake Forest University School of MedicineDepartment of Gerontology and Geriatric Medicine, Wake Forest University School of MedicineDepartment of Gerontology and Geriatric Medicine, Wake Forest University School of MedicineDepartment of Gerontology and Geriatric Medicine, Wake Forest University School of MedicineAbstract Cross-sectional data from a sample of older adults with obesity was used to determine how peripheral insulin resistance (PIR) and neuronal insulin signaling abnormalities (NISAs) relate to executive function and functional brain network topology. Older adults (n = 71) with obesity but without type 2 diabetes were included. PIR was quantified by HOMA2-IR. NISAs were quantified according to an established neuron-derived small-extracellular-vesicle-based metric, R. An executive function composite score, summed scores to the Auditory Verbal Learning Test (AVLT) trials 1–5, and functional brain networks generated from resting-state functional magnetic resonance imaging data were outcomes in analyses. We used general linear models and a novel regression framework for brain network analysis to identify relationships between insulin-related biomarkers and brain-related outcomes. HOMA2-IR, but not R, was negatively associated with executive function. Neither measure was associated with AVLT score. HOMA2-IR was also related to hippocampal network topology in participants who had undergone functional neuroimaging. Neither HOMA2-IR nor R were significantly related to network topology of the central executive network. This study provides further evidence that PIR is associated with aging brain function. NISAs were not found to be related to PIR, cognition, or functional brain network topology.https://doi.org/10.1038/s41598-025-06038-1 |
| spellingShingle | Clayton C. McIntyre Robert G. Lyday Yixin Su Barbara Nicklas Sean L. Simpson Gagan Deep Shannon L. Macauley Christina E. Hugenschmidt Insulin resistance, cognition, and functional brain network topology in older adults with obesity Scientific Reports |
| title | Insulin resistance, cognition, and functional brain network topology in older adults with obesity |
| title_full | Insulin resistance, cognition, and functional brain network topology in older adults with obesity |
| title_fullStr | Insulin resistance, cognition, and functional brain network topology in older adults with obesity |
| title_full_unstemmed | Insulin resistance, cognition, and functional brain network topology in older adults with obesity |
| title_short | Insulin resistance, cognition, and functional brain network topology in older adults with obesity |
| title_sort | insulin resistance cognition and functional brain network topology in older adults with obesity |
| url | https://doi.org/10.1038/s41598-025-06038-1 |
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