TY - JOUR
T1 - Hippocampal volume reduction is associated with direct measure of insulin resistance in adults
AU - Frangou, Sophia
AU - Abbasi, Fahim
AU - Watson, Katie
AU - Haas, Shalaila S.
AU - Antoniades, Mathilde
AU - Modabbernia, Amirhossein
AU - Myoraku, Alison
AU - Robakis, Thalia
AU - Rasgon, Natalie
N1 - Publisher Copyright:
© 2021
PY - 2022/1
Y1 - 2022/1
N2 - 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.
AB - 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.
KW - Adiposity
KW - Hippocampal volume
KW - Insulin resistance
UR - http://www.scopus.com/inward/record.url?scp=85112720155&partnerID=8YFLogxK
U2 - 10.1016/j.neures.2021.07.006
DO - 10.1016/j.neures.2021.07.006
M3 - Article
C2 - 34352294
AN - SCOPUS:85112720155
SN - 0168-0102
VL - 174
SP - 19
EP - 24
JO - Neuroscience Research
JF - Neuroscience Research
ER -