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Multi-tissue epigenetic analysis identifies distinct associations underlying insulin resistance and Alzheimer’s disease at CPT1A locus

BACKGROUND: Insulin resistance (IR) is a major risk factor for Alzheimer’s disease (AD) dementia. The mechanisms by which IR predisposes to AD are not well-understood. Epigenetic studies may help identify molecular signatures of IR associated with AD, thus improving our understanding of the biologic...

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Autores principales: Sarnowski, Chloé, Huan, Tianxiao, Ma, Yiyi, Joehanes, Roby, Beiser, Alexa, DeCarli, Charles S., Heard-Costa, Nancy L., Levy, Daniel, Lin, Honghuang, Liu, Ching-Ti, Liu, Chunyu, Meigs, James B., Satizabal, Claudia L., Florez, Jose C., Hivert, Marie-France, Dupuis, Josée, De Jager, Philip L., Bennett, David A., Seshadri, Sudha, Morrison, Alanna C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10612362/
https://www.ncbi.nlm.nih.gov/pubmed/37891690
http://dx.doi.org/10.1186/s13148-023-01589-4
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author Sarnowski, Chloé
Huan, Tianxiao
Ma, Yiyi
Joehanes, Roby
Beiser, Alexa
DeCarli, Charles S.
Heard-Costa, Nancy L.
Levy, Daniel
Lin, Honghuang
Liu, Ching-Ti
Liu, Chunyu
Meigs, James B.
Satizabal, Claudia L.
Florez, Jose C.
Hivert, Marie-France
Dupuis, Josée
De Jager, Philip L.
Bennett, David A.
Seshadri, Sudha
Morrison, Alanna C.
author_facet Sarnowski, Chloé
Huan, Tianxiao
Ma, Yiyi
Joehanes, Roby
Beiser, Alexa
DeCarli, Charles S.
Heard-Costa, Nancy L.
Levy, Daniel
Lin, Honghuang
Liu, Ching-Ti
Liu, Chunyu
Meigs, James B.
Satizabal, Claudia L.
Florez, Jose C.
Hivert, Marie-France
Dupuis, Josée
De Jager, Philip L.
Bennett, David A.
Seshadri, Sudha
Morrison, Alanna C.
author_sort Sarnowski, Chloé
collection PubMed
description BACKGROUND: Insulin resistance (IR) is a major risk factor for Alzheimer’s disease (AD) dementia. The mechanisms by which IR predisposes to AD are not well-understood. Epigenetic studies may help identify molecular signatures of IR associated with AD, thus improving our understanding of the biological and regulatory mechanisms linking IR and AD. METHODS: We conducted an epigenome-wide association study of IR, quantified using the homeostatic model assessment of IR (HOMA-IR) and adjusted for body mass index, in 3,167 participants from the Framingham Heart Study (FHS) without type 2 diabetes at the time of blood draw used for methylation measurement. We identified DNA methylation markers associated with IR at the genome-wide level accounting for multiple testing (P < 1.1 × 10(−7)) and evaluated their association with neurological traits in participants from the FHS (N = 3040) and the Religious Orders Study/Memory and Aging Project (ROSMAP, N = 707). DNA methylation profiles were measured in blood (FHS) or dorsolateral prefrontal cortex (ROSMAP) using the Illumina HumanMethylation450 BeadChip. Linear regressions (ROSMAP) or mixed-effects models accounting for familial relatedness (FHS) adjusted for age, sex, cohort, self-reported race, batch, and cell type proportions were used to assess associations between DNA methylation and neurological traits accounting for multiple testing. RESULTS: We confirmed the strong association of blood DNA methylation with IR at three loci (cg17901584–DHCR24, cg17058475–CPT1A, cg00574958–CPT1A, and cg06500161–ABCG1). In FHS, higher levels of blood DNA methylation at cg00574958 and cg17058475 were both associated with lower IR (P = 2.4 × 10(−11) and P = 9.0 × 10(–8)), larger total brain volumes (P = 0.03 and P = 9.7 × 10(−4)), and smaller log lateral ventricular volumes (P = 0.07 and P = 0.03). In ROSMAP, higher levels of brain DNA methylation at the same two CPT1A markers were associated with greater risk of cognitive impairment (P = 0.005 and P = 0.02) and higher AD-related indices (CERAD score: P = 5 × 10(−4) and 0.001; Braak stage: P = 0.004 and P = 0.01). CONCLUSIONS: Our results suggest potentially distinct epigenetic regulatory mechanisms between peripheral blood and dorsolateral prefrontal cortex tissues underlying IR and AD at CPT1A locus. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13148-023-01589-4.
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spelling pubmed-106123622023-10-29 Multi-tissue epigenetic analysis identifies distinct associations underlying insulin resistance and Alzheimer’s disease at CPT1A locus Sarnowski, Chloé Huan, Tianxiao Ma, Yiyi Joehanes, Roby Beiser, Alexa DeCarli, Charles S. Heard-Costa, Nancy L. Levy, Daniel Lin, Honghuang Liu, Ching-Ti Liu, Chunyu Meigs, James B. Satizabal, Claudia L. Florez, Jose C. Hivert, Marie-France Dupuis, Josée De Jager, Philip L. Bennett, David A. Seshadri, Sudha Morrison, Alanna C. Clin Epigenetics Research BACKGROUND: Insulin resistance (IR) is a major risk factor for Alzheimer’s disease (AD) dementia. The mechanisms by which IR predisposes to AD are not well-understood. Epigenetic studies may help identify molecular signatures of IR associated with AD, thus improving our understanding of the biological and regulatory mechanisms linking IR and AD. METHODS: We conducted an epigenome-wide association study of IR, quantified using the homeostatic model assessment of IR (HOMA-IR) and adjusted for body mass index, in 3,167 participants from the Framingham Heart Study (FHS) without type 2 diabetes at the time of blood draw used for methylation measurement. We identified DNA methylation markers associated with IR at the genome-wide level accounting for multiple testing (P < 1.1 × 10(−7)) and evaluated their association with neurological traits in participants from the FHS (N = 3040) and the Religious Orders Study/Memory and Aging Project (ROSMAP, N = 707). DNA methylation profiles were measured in blood (FHS) or dorsolateral prefrontal cortex (ROSMAP) using the Illumina HumanMethylation450 BeadChip. Linear regressions (ROSMAP) or mixed-effects models accounting for familial relatedness (FHS) adjusted for age, sex, cohort, self-reported race, batch, and cell type proportions were used to assess associations between DNA methylation and neurological traits accounting for multiple testing. RESULTS: We confirmed the strong association of blood DNA methylation with IR at three loci (cg17901584–DHCR24, cg17058475–CPT1A, cg00574958–CPT1A, and cg06500161–ABCG1). In FHS, higher levels of blood DNA methylation at cg00574958 and cg17058475 were both associated with lower IR (P = 2.4 × 10(−11) and P = 9.0 × 10(–8)), larger total brain volumes (P = 0.03 and P = 9.7 × 10(−4)), and smaller log lateral ventricular volumes (P = 0.07 and P = 0.03). In ROSMAP, higher levels of brain DNA methylation at the same two CPT1A markers were associated with greater risk of cognitive impairment (P = 0.005 and P = 0.02) and higher AD-related indices (CERAD score: P = 5 × 10(−4) and 0.001; Braak stage: P = 0.004 and P = 0.01). CONCLUSIONS: Our results suggest potentially distinct epigenetic regulatory mechanisms between peripheral blood and dorsolateral prefrontal cortex tissues underlying IR and AD at CPT1A locus. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13148-023-01589-4. BioMed Central 2023-10-27 /pmc/articles/PMC10612362/ /pubmed/37891690 http://dx.doi.org/10.1186/s13148-023-01589-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Sarnowski, Chloé
Huan, Tianxiao
Ma, Yiyi
Joehanes, Roby
Beiser, Alexa
DeCarli, Charles S.
Heard-Costa, Nancy L.
Levy, Daniel
Lin, Honghuang
Liu, Ching-Ti
Liu, Chunyu
Meigs, James B.
Satizabal, Claudia L.
Florez, Jose C.
Hivert, Marie-France
Dupuis, Josée
De Jager, Philip L.
Bennett, David A.
Seshadri, Sudha
Morrison, Alanna C.
Multi-tissue epigenetic analysis identifies distinct associations underlying insulin resistance and Alzheimer’s disease at CPT1A locus
title Multi-tissue epigenetic analysis identifies distinct associations underlying insulin resistance and Alzheimer’s disease at CPT1A locus
title_full Multi-tissue epigenetic analysis identifies distinct associations underlying insulin resistance and Alzheimer’s disease at CPT1A locus
title_fullStr Multi-tissue epigenetic analysis identifies distinct associations underlying insulin resistance and Alzheimer’s disease at CPT1A locus
title_full_unstemmed Multi-tissue epigenetic analysis identifies distinct associations underlying insulin resistance and Alzheimer’s disease at CPT1A locus
title_short Multi-tissue epigenetic analysis identifies distinct associations underlying insulin resistance and Alzheimer’s disease at CPT1A locus
title_sort multi-tissue epigenetic analysis identifies distinct associations underlying insulin resistance and alzheimer’s disease at cpt1a locus
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10612362/
https://www.ncbi.nlm.nih.gov/pubmed/37891690
http://dx.doi.org/10.1186/s13148-023-01589-4
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