Poster: P3-328: Does Insulin Resistance Influence White Matter Lesions In Non-diabetic Ad Subjects?

Grazia Daniela Femminella; Yi-Ting Wang; Thalia van der Doef; Eleni Frangou; Sharon Love; Valeria Calsolaro; Stefan Carver; Clive Holmes; Craig W. Ritchie; Robert M. Lawrence; Brady McFarlane; George Tadros; Basil H. Ridha; Carol Bannister; Zuzana Walker; Hilary Archer; Elizabeth Coulthard; Ben Underwood; Aparna Prasanna; Paul Koranteng; Salman Karim; Kehinde Junaid; Bernadette McGuinness; Anthony Peter Passmore; Ramin Nilforooshan; Ajayverma Macharouthu; Andrew Donaldson; Simon Thacker; Gregor Russell; Naghma Malik; Vandana Mate; Lucy Knight; Sajeev Kshemendran; John Harrison; Clive Ballard; David J. Brooks; Paul Edison

doi:10.1016/j.jalz.2019.06.3360

Poster: P3-328: Does Insulin Resistance Influence White Matter Lesions In Non-diabetic Ad Subjects?

Grazia Daniela Femminella, Yi-Ting Wang, Thalia van der Doef, Eleni Frangou, Sharon Love, Valeria Calsolaro, Stefan Carver, Clive Holmes, Craig W. Ritchie, Robert M. Lawrence, Brady McFarlane, George Tadros, Basil H. Ridha, Carol Bannister, Zuzana Walker, Hilary Archer, Elizabeth Coulthard, Ben Underwood, Aparna Prasanna, Paul KorantengSalman Karim, Kehinde Junaid, Bernadette McGuinness, Anthony Peter Passmore, Ramin Nilforooshan, Ajayverma Macharouthu, Andrew Donaldson, Simon Thacker, Gregor Russell, Naghma Malik, Vandana Mate, Lucy Knight, Sajeev Kshemendran, John Harrison, Clive Ballard, David J. Brooks, Paul Edison

Research output: Contribution to journal › Meeting abstract › peer-review

Abstract

Background:
Vascular risk factors like hypertension, hyperlipidemia and diabetes mellitus are risk factors for Alzheimer's disease (AD). White matter lesions (WMLs) have been recognized as the imaging characteristics of cerebral small vessel diseases. WMLs are a risk factor for stroke, cognitive decline, and dementia and their prevalence increases with age. In magnetic resonance imaging (MRI), white matter hypointensities in T1‐weighted images, and white matter hyperintensities in T2‐weighted and FLAIR images are regarded as visualizations of WMLs. Peripheral insulin resistance (IR) may contribute to the etiopathogenesis of AD. Here we evaluated whether insulin resistance exerts its effects on non‐diabetic AD subjects by influencing WMLs.

Methods:
121 AD subjects form the Evaluating Liraglutide in Alzheimer's Disease (ELAD) trial (NCT01843075) were enrolled. Glucose and insulin levels were measured after a 4‐hour fast on the day of the visit for the brain MRI. Insulin resistance was calculated by the homeostatic model assessment (HOMA‐IR). Hypointensity volumetrics determined as WMLs were estimated using the FreeSurfer analysis (http://surfer.nmr.mgh.harvard.edu/) on T1 MRI acquired on 3T scans. Glucose metabolism (rCMRGlc) was calculated by parametric images generated using spectral analysis with an arterial plasma input function.

Results:
In this non‐diabetic AD population, the prevalence of IR was about 16%. WMLs volume was not correlated to HOMA‐IR. However, WMLs was negatively correlated with left hippocampal volume (Spearman's rho=−.208, p=.02). WMLs volume was positively correlated with age and with serum triglyceride levels and negatively correlated with serum HDL cholesterol levels.

Conclusions:
In this study in a non‐diabetic AD population, white matter lesions were not correlated with peripheral insulin resistance. This suggests that in non‐diabetic AD subjects, vascular changes are not influenced by peripheral insulin resistance.

Original language	English
Pages (from-to)	P1064-P1065
Journal	Alzheimer's & Dementia: The Journal of the Alzheimer's Association
Volume	15
Issue number	7S Part 20
DOIs	https://doi.org/10.1016/j.jalz.2019.06.3360
Publication status	Published - 01 Jul 2019

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Simulation of electronic and optical properties of materials for energy efficient devices
Lawrence, R. (Author), Santos, E. (Supervisor), Dec 2019
Student thesis: Doctoral Thesis › Doctor of Philosophy

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Cite this

Femminella, G. D., Wang, Y.-T., van der Doef, T., Frangou, E., Love, S., Calsolaro, V., Carver, S., Holmes, C., Ritchie, C. W., Lawrence, R. M., McFarlane, B., Tadros, G., Ridha, B. H., Bannister, C., Walker, Z., Archer, H., Coulthard, E., Underwood, B., Prasanna, A., ... Edison, P. (2019). Poster: P3-328: Does Insulin Resistance Influence White Matter Lesions In Non-diabetic Ad Subjects? Alzheimer's & Dementia: The Journal of the Alzheimer's Association, 15(7S Part 20), P1064-P1065. https://doi.org/10.1016/j.jalz.2019.06.3360

@article{b981f0906d344df4b79e1af7e3837d2f,

title = "Poster: P3-328: Does Insulin Resistance Influence White Matter Lesions In Non-diabetic Ad Subjects?",

abstract = "Background:Vascular risk factors like hypertension, hyperlipidemia and diabetes mellitus are risk factors for Alzheimer's disease (AD). White matter lesions (WMLs) have been recognized as the imaging characteristics of cerebral small vessel diseases. WMLs are a risk factor for stroke, cognitive decline, and dementia and their prevalence increases with age. In magnetic resonance imaging (MRI), white matter hypointensities in T1‐weighted images, and white matter hyperintensities in T2‐weighted and FLAIR images are regarded as visualizations of WMLs. Peripheral insulin resistance (IR) may contribute to the etiopathogenesis of AD. Here we evaluated whether insulin resistance exerts its effects on non‐diabetic AD subjects by influencing WMLs.Methods:121 AD subjects form the Evaluating Liraglutide in Alzheimer's Disease (ELAD) trial (NCT01843075) were enrolled. Glucose and insulin levels were measured after a 4‐hour fast on the day of the visit for the brain MRI. Insulin resistance was calculated by the homeostatic model assessment (HOMA‐IR). Hypointensity volumetrics determined as WMLs were estimated using the FreeSurfer analysis (http://surfer.nmr.mgh.harvard.edu/) on T1 MRI acquired on 3T scans. Glucose metabolism (rCMRGlc) was calculated by parametric images generated using spectral analysis with an arterial plasma input function.Results:In this non‐diabetic AD population, the prevalence of IR was about 16%. WMLs volume was not correlated to HOMA‐IR. However, WMLs was negatively correlated with left hippocampal volume (Spearman's rho=−.208, p=.02). WMLs volume was positively correlated with age and with serum triglyceride levels and negatively correlated with serum HDL cholesterol levels.Conclusions:In this study in a non‐diabetic AD population, white matter lesions were not correlated with peripheral insulin resistance. This suggests that in non‐diabetic AD subjects, vascular changes are not influenced by peripheral insulin resistance.",

author = "Femminella, {Grazia Daniela} and Yi-Ting Wang and {van der Doef}, Thalia and Eleni Frangou and Sharon Love and Valeria Calsolaro and Stefan Carver and Clive Holmes and Ritchie, {Craig W.} and Lawrence, {Robert M.} and Brady McFarlane and George Tadros and Ridha, {Basil H.} and Carol Bannister and Zuzana Walker and Hilary Archer and Elizabeth Coulthard and Ben Underwood and Aparna Prasanna and Paul Koranteng and Salman Karim and Kehinde Junaid and Bernadette McGuinness and Passmore, {Anthony Peter} and Ramin Nilforooshan and Ajayverma Macharouthu and Andrew Donaldson and Simon Thacker and Gregor Russell and Naghma Malik and Vandana Mate and Lucy Knight and Sajeev Kshemendran and John Harrison and Clive Ballard and Brooks, {David J.} and Paul Edison",

year = "2019",

month = jul,

day = "1",

doi = "10.1016/j.jalz.2019.06.3360",

language = "English",

volume = "15",

pages = "P1064--P1065",

journal = "Alzheimer's & Dementia: The Journal of the Alzheimer's Association",

publisher = "John Wiley & Sons Inc.",

number = "7S Part 20",

}