Literature DB >> 30792424

Epigenome-wide association study in peripheral white blood cells involving insulin resistance.

Ana Arpón1, Fermín I Milagro1,2, Omar Ramos-Lopez1, M Luisa Mansego1, José Luis Santos3, José-Ignacio Riezu-Boj4,5, J Alfredo Martínez1,2,6,7.   

Abstract

Insulin resistance (IR) is a hallmark of type 2 diabetes, metabolic syndrome and cardiometabolic risk. An epigenetic phenomena such as DNA methylation might be involved in the onset and development of systemic IR. The aim of this study was to explore the genetic DNA methylation levels in peripheral white blood cells with the objective of identifying epigenetic signatures associated with IR measured by the Homeostatic Model Assessment of IR (HOMA-IR) following an epigenome-wide association study approach. DNA methylation levels were assessed using Infinium Methylation Assay (Illumina), and were associated with HOMA-IR values of participants from the Methyl Epigenome Network Association (MENA) project, finding statistical associations for at least 798 CpGs. A stringent statistical analysis revealed that 478 of them showed a differential methylation pattern between individuals with HOMA-IR ≤ 3 and > 3. ROC curves of top four CpGs out of 478 allowed differentiating individuals between both groups (AUC≈0.88). This study demonstrated the association between DNA methylation in some specific CpGs and HOMA-IR values that will help to the understanding and in the development of new strategies for personalized approaches to predict and prevent IR-associated diseases.

Entities:  

Year:  2019        PMID: 30792424      PMCID: PMC6385280          DOI: 10.1038/s41598-019-38980-2

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  90 in total

1.  Gene Expression Omnibus: NCBI gene expression and hybridization array data repository.

Authors:  Ron Edgar; Michael Domrachev; Alex E Lash
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

2.  Adjusting batch effects in microarray expression data using empirical Bayes methods.

Authors:  W Evan Johnson; Cheng Li; Ariel Rabinovic
Journal:  Biostatistics       Date:  2006-04-21       Impact factor: 5.899

3.  The Diet, Obesity and Genes (Diogenes) Dietary Study in eight European countries - a comprehensive design for long-term intervention.

Authors:  T M Larsen; S Dalskov; M van Baak; S Jebb; A Kafatos; A Pfeiffer; J A Martinez; T Handjieva-Darlenska; M Kunesová; C Holst; W H M Saris; A Astrup
Journal:  Obes Rev       Date:  2009-05-28       Impact factor: 9.213

4.  lumi: a pipeline for processing Illumina microarray.

Authors:  Pan Du; Warren A Kibbe; Simon M Lin
Journal:  Bioinformatics       Date:  2008-05-08       Impact factor: 6.937

5.  Randomized, multi-center trial of two hypo-energetic diets in obese subjects: high- versus low-fat content.

Authors:  M Petersen; M A Taylor; W H M Saris; C Verdich; S Toubro; I Macdonald; S Rössner; V Stich; B Guy-Grand; D Langin; J A Martinez; O Pedersen; C Holst; T I A Sørensen; A Astrup
Journal:  Int J Obes (Lond)       Date:  2006-03       Impact factor: 5.095

6.  Chondromodulin-I maintains cardiac valvular function by preventing angiogenesis.

Authors:  Masatoyo Yoshioka; Shinsuke Yuasa; Keisuke Matsumura; Kensuke Kimura; Takayuki Shiomi; Naritaka Kimura; Chisa Shukunami; Yasunori Okada; Makio Mukai; Hankei Shin; Ryohei Yozu; Masataka Sata; Satoshi Ogawa; Yuji Hiraki; Keiichi Fukuda
Journal:  Nat Med       Date:  2006-09-17       Impact factor: 53.440

Review 7.  Molecular mechanisms of insulin resistance.

Authors:  S Schinner; W A Scherbaum; S R Bornstein; A Barthel
Journal:  Diabet Med       Date:  2005-06       Impact factor: 4.359

8.  Cell-specific epigenetic regulation of ChM-I gene expression: crosstalk between DNA methylation and histone acetylation.

Authors:  Tomoki Aoyama; Takeshi Okamoto; Yoshiki Kohno; Kenichi Fukiage; Seiji Otsuka; Moritoshi Furu; Kinya Ito; Yonghui Jin; Satoshi Nagayama; Tomitaka Nakayama; Takashi Nakamura; Junya Toguchida
Journal:  Biochem Biophys Res Commun       Date:  2007-10-31       Impact factor: 3.575

9.  Negative regulation of rho signaling by insulin and its impact on actin cytoskeleton organization in vascular smooth muscle cells: role of nitric oxide and cyclic guanosine monophosphate signaling pathways.

Authors:  Najma Begum; Oana A Sandu; Noreen Duddy
Journal:  Diabetes       Date:  2002-07       Impact factor: 9.461

10.  Protein kinase A translocation and insulin secretion in pancreatic beta-cells: studies with adenylate cyclase toxin from Bordetella pertussis.

Authors:  Zhiyong Gao; Robert A Young; Matteo M Trucco; Scott R Greene; Erik L Hewlett; Franz M Matschinsky; Bryan A Wolf
Journal:  Biochem J       Date:  2002-12-01       Impact factor: 3.857

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  16 in total

1.  Mining the Selective Remodeling of DNA Methylation in Promoter Regions to Identify Robust Gene-Level Associations With Phenotype.

Authors:  Yuan Quan; Fengji Liang; Si-Min Deng; Yuexing Zhu; Ying Chen; Jianghui Xiong
Journal:  Front Mol Biosci       Date:  2021-03-26

Review 2.  DNA methylation markers in obesity, metabolic syndrome, and weight loss.

Authors:  Mirian Samblas; Fermín I Milagro; Alfredo Martínez
Journal:  Epigenetics       Date:  2019-03-27       Impact factor: 4.528

3.  Association of serum kynurenine/tryptophan ratio with poor glycemic control in patients with type2 diabetes.

Authors:  Sara Abedi; Mahmood Vessal; Fatemeh Asadian; Mohammad Ali Takhshid
Journal:  J Diabetes Metab Disord       Date:  2021-09-12

4.  Methylome-Wide Association Study in Peripheral White Blood Cells Focusing on Central Obesity and Inflammation.

Authors:  Ana Arpón; Fermín I Milagro; Omar Ramos-Lopez; Maria L Mansego; José-Ignacio Riezu-Boj; J Alfredo Martínez
Journal:  Genes (Basel)       Date:  2019-06-11       Impact factor: 4.096

5.  Birthweight DNA methylation signatures in infant saliva.

Authors:  Chiara Moccia; Maja Popovic; Elena Isaevska; Valentina Fiano; Morena Trevisan; Franca Rusconi; Silvia Polidoro; Lorenzo Richiardi
Journal:  Clin Epigenetics       Date:  2021-03-19       Impact factor: 6.551

6.  Insulin-resistance and depression cohort data mining to identify nutraceutical related DNA methylation biomarker for type 2 diabetes.

Authors:  Fengji Liang; Yuan Quan; Andong Wu; Ying Chen; Ruifeng Xu; Yuexing Zhu; Jianghui Xiong
Journal:  Genes Dis       Date:  2020-01-27

7.  Adipose Tissue Epigenetic Profile in Obesity-Related Dysglycemia - A Systematic Review.

Authors:  Sara Andrade; Tiago Morais; Ionel Sandovici; Alexandre L Seabra; Miguel Constância; Mariana P Monteiro
Journal:  Front Endocrinol (Lausanne)       Date:  2021-06-29       Impact factor: 5.555

Review 8.  Epigenetics of Hepatic Insulin Resistance.

Authors:  Hannah Maude; Claudia Sanchez-Cabanillas; Inês Cebola
Journal:  Front Endocrinol (Lausanne)       Date:  2021-05-11       Impact factor: 5.555

9.  PPARGC1A Gene Promoter Methylation as a Biomarker of Insulin Secretion and Sensitivity in Response to Glucose Challenges.

Authors:  José L Santos; Bernardo J Krause; Luis Rodrigo Cataldo; Javier Vega; Francisca Salas-Pérez; Paula Mennickent; Raúl Gallegos; Fermín I Milagro; Pedro Prieto-Hontoria; J Ignacio Riezu-Boj; Carolina Bravo; Albert Salas-Huetos; Ana Arpón; José E Galgani; J Alfredo Martínez
Journal:  Nutrients       Date:  2020-09-11       Impact factor: 5.717

10.  Blood-based epigenetic estimators of chronological age in human adults using DNA methylation data from the Illumina MethylationEPIC array.

Authors:  Yunsung Lee; Kristine L Haftorn; William R P Denault; Haakon E Nustad; Christian M Page; Robert Lyle; Sindre Lee-Ødegård; Gunn-Helen Moen; Rashmi B Prasad; Leif C Groop; Line Sletner; Christine Sommer; Maria C Magnus; Håkon K Gjessing; Jennifer R Harris; Per Magnus; Siri E Håberg; Astanand Jugessur; Jon Bohlin
Journal:  BMC Genomics       Date:  2020-10-27       Impact factor: 3.969

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