2026-06-14T03:43:08Zhttps://repisalud.isciii.es/rest/oai/requestoai:repisalud.isciii.es:20.500.12105/158112024-10-31T11:48:36Zcom_20.500.12105_2052com_20.500.12105_2051col_20.500.12105_19608
Repisalud
author
Domingo-Relloso, Arce
author
Gribble, Matthew O
author
Riffo-Campos, Angela L
author
Haack, Karin
author
Cole, Shelley A
author
Tellez-Plaza, Maria
author
Umans, Jason G
author
Fretts, Amanda M
author
Zhang, Ying
author
Fallin, M Daniele
author
Navas-Acien, Ana
author
Everson, Todd M
funder
NIH - National Heart, Lung, and Blood Institute (NHLBI) (Estados Unidos)
funder
NIH - National Institute of Environmental Health Sciences (NIEHS) (Estados Unidos)
funder
Fundación La Caixa
funder
Instituto de Salud Carlos III
funder
Centro de Investigación Biomédica en Red - CIBERCV (Enfermedades Cardiovasculares)
funder
Ministerio de Ciencia e Innovación (España)
funder
Unión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF)
funder
AstraZeneca
funder
Agencia Estatal de Investigación (España)
2023-04-14T12:23:59Z
2023-04-14T12:23:59Z
2022-12-18
Clin Epigenetics. 2022 Dec 18;14(1):177.
10.1186/s13148-022-01392-7
1868-7083
Clinical epigenetics
36529747
http://hdl.handle.net/20.500.12105/15811
Background: The prevalence of type 2 diabetes has dramatically increased in the past years. Increasing evidence supports that blood DNA methylation, the best studied epigenetic mark, is related to diabetes risk. Few prospective studies, however, are available. We studied the association of blood DNA methylation with diabetes in the Strong Heart Study. We used limma, Iterative Sure Independence Screening and Cox regression to study the association of blood DNA methylation with fasting glucose, HOMA-IR and incident type 2 diabetes among 1312 American Indians from the Strong Heart Study. DNA methylation was measured using Illumina's MethylationEPIC beadchip. We also assessed the biological relevance of our findings using bioinformatics analyses. Results: Among the 358 differentially methylated positions (DMPs) that were cross-sectionally associated either with fasting glucose or HOMA-IR, 49 were prospectively associated with incident type 2 diabetes, although no DMPs remained significant after multiple comparisons correction. Multiple of the top DMPs were annotated to genes with relevant functions for diabetes including SREBF1, associated with obesity, type 2 diabetes and insulin sensitivity; ABCG1, involved in cholesterol and phospholipids transport; and HDAC1, of the HDAC family. (HDAC inhibitors have been proposed as an emerging treatment for diabetes and its complications). Conclusions: Our results suggest that differences in peripheral blood DNA methylation are related to cross-sectional markers of glucose metabolism and insulin activity. While some of these DMPs were modestly associated with prospective incident type 2 diabetes, they did not survive multiple testing. Common DMPs with diabetes epigenome-wide association studies from other populations suggest a partially common epigenomic signature of glucose and insulin activity.
eng
Epigenetics
Type 2 diabetes
DNA methylation
American Indians
Epigenetics of type 2 diabetes and diabetes-related outcomes in the Strong Heart Study
journal article
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