| Title: | Associations Between Insulin-Like Growth Factor-1 and Resting-State Functional Connectivity in Cognitively Unimpaired Midlife Adults |
| Journal: | Journal of Alzheimer's Disease |
| Published: | 25 Jul 2023 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/36710671/ |
| DOI: | https://doi.org/10.3233/jad-220608 |
| URL: | https://content.iospress.com:443/download/journal-of-alzheimers-disease/jad220608?id=journal-of-alzheimers-disease%2Fjad220608 |
| Citations: | 5 (5 in last 2 years) as of 8 Aug 2024 |
Publication 8005
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Abstract
BACKGROUND: Insulin-like growth factor (IGF)-1 plays an important role in Alzheimer's disease (AD) pathogenesis and increases disease risk. However, prior research examining IGF-1 levels and brain neural network activity is mixed.</p>
OBJECTIVE: The present study investigated the relationship between IGF-1 levels and 21 neural networks, as measured by functional magnetic resonance imaging (fMRI) in 13,235 UK Biobank participants.</p>
METHODS: Linear mixed models were used to regress IGF-1 against the intrinsic functional connectivity (i.e., degree of network activity) for each neural network. Interactions between IGF-1 and AD risk factors such as Apolipoprotein E4 (APOE4) genotype, sex, AD family history, and age were also tested.</p>
RESULTS: Higher IGF-1 was associated with more network activity in the right Executive Function neural network. IGF-1 interactions with APOE4 or sex implicated motor, primary/extrastriate visual, and executive function related neural networks. Neural network activity trends with increasing IGF-1 were different in different age groups. Higher IGF-1 levels relate to much more network activity in the Sensorimotor Network and Cerebellum Network in early-life participants (40-52 years old), compared with mid-life (52-59 years old) and late-life (59-70 years old) participants.</p>
CONCLUSION: These findings suggest that sex and APOE4 genotype may modify the relationship between IGF-1 and brain network activities related to visual, motor, and cognitive processing. Additionally, IGF-1 may have an age-dependent effect on neural network connectivity.</p>
9 Authors
- Tianqi Li
- Colleen Pappas
- Brandon Klinedinst
- Amy Pollpeter
- Brittany Larsen
- Nathan Hoth
- Faith Anton
- Qian Wang
- Auriel A. Willette
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