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Hippocampal volume reduction is associated with direct measure of insulin resistance in adults.
Frangou, Sophia; Abbasi, Fahim; Watson, Katie; Haas, Shalaila S; Antoniades, Mathilde; Modabbernia, Amirhossein; Myoraku, Alison; Robakis, Thalia; Rasgon, Natalie.
Afiliación
  • Frangou S; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Psychiatry, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada. Electronic address: Sophia.frangou@mssm.edu.
  • Abbasi F; Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
  • Watson K; Department of Psychiatry, Stanford University School of Medicine, USA.
  • Haas SS; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Antoniades M; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Modabbernia A; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Myoraku A; Department of Psychiatry, Stanford University School of Medicine, USA.
  • Robakis T; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Rasgon N; Department of Psychiatry, Stanford University School of Medicine, USA. Electronic address: nrasgon@stanford.edu.
Neurosci Res ; 174: 19-24, 2022 Jan.
Article en En | MEDLINE | ID: mdl-34352294
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.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Resistencia a la Insulina Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Female / Humans Idioma: En Revista: Neurosci Res Asunto de la revista: NEUROLOGIA Año: 2022 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Resistencia a la Insulina Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Female / Humans Idioma: En Revista: Neurosci Res Asunto de la revista: NEUROLOGIA Año: 2022 Tipo del documento: Article