| Literature DB >> 34352294 |
Sophia Frangou1, Fahim Abbasi2, Katie Watson3, Shalaila S Haas4, Mathilde Antoniades4, Amirhossein Modabbernia4, Alison Myoraku3, Thalia Robakis4, Natalie Rasgon5.
Abstract
Hippocampal integrity is highly susceptible to metabolic dysfunction, yet its mechanisms are not well defined. We studied 126 healthy individuals aged 23-61 years. Insulin resistance (IR) was quantified by measuring steady-state plasma glucose (SSPG) concentration during the insulin suppression test. Body mass index (BMI), adiposity, fasting insulin, glucose, leptin as well as structural neuroimaing with automatic hippocampal subfield segmentation were performed. Data analysis using unsupervised machine learning (k-means clustering) identified two subgroups reflecting a pattern of more pronounced hippocampal volume reduction being concurrently associated with greater adiposity and insulin resistance; the hippocampal volume reductions were uniform across subfields. Individuals in the most deviant subgroup were predominantly women (79 versus 42 %) with higher BMI [27.9 (2.5) versus 30.5 (4.6) kg/m2], IR (SSPG concentration, [156 (61) versus 123 (70) mg/dL] and leptinemia [21.7 (17.0) versus 44.5 (30.4) μg/L]. The use of person-based modeling in healthy individuals suggests that adiposity, insulin resistance and compromised structural hippocampal integrity behave as a composite phenotype; female sex emerged as risk factor for this phenotype.Entities:
Keywords: Adiposity; Hippocampal volume; Insulin resistance
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Year: 2021 PMID: 34352294 PMCID: PMC9164143 DOI: 10.1016/j.neures.2021.07.006
Source DB: PubMed Journal: Neurosci Res ISSN: 0168-0102 Impact factor: 2.904