Global LINE-1 DNA methylation is associated with blood glycaemic and lipid profiles

被引:82
作者
Pearce, Mark S. [1 ]
McConnell, James C. [2 ]
Potter, Catherine [2 ]
Barrett, Laura M. [2 ]
Parker, Louise [3 ,4 ]
Mathers, John C. [5 ]
Relton, Caroline L. [2 ]
机构
[1] Newcastle Univ, Royal Victoria Infirm, Inst Hlth & Soc, Sir James Spence Inst, Newcastle Upon Tyne NE1 4LP, Tyne & Wear, England
[2] Newcastle Univ, Human Nutr Res Ctr, Inst Med Genet, Newcastle Upon Tyne NE1 4LP, Tyne & Wear, England
[3] Dalhousie Univ, Dept Med, Halifax, NS, Canada
[4] Dalhousie Univ, Dept Paediat, Halifax, NS, Canada
[5] Newcastle Univ, Human Nutr Res Ctr, Inst Ageing & Hlth, Newcastle Upon Tyne NE1 4LP, Tyne & Wear, England
基金
英国生物技术与生命科学研究理事会; 英国工程与自然科学研究理事会;
关键词
Global DNA methylation; LINE-1; cohort study; glucose; HDL/LDL cholesterol; insulin; triglyceride; NEWCASTLE THOUSAND FAMILIES; AGE; 50; YEARS; INSULIN-RESISTANCE; GLUCOSE-TOLERANCE; GENE-EXPRESSION; HEART-DISEASE; EXPOSURE; ELEMENTS; PLASMA; HYPOMETHYLATION;
D O I
10.1093/ije/dys020
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background Patterns of DNA methylation change with age and these changes are believed to be associated with the development of common complex diseases. The hypothesis that Long Interspersed Nucleotide Element 1 (LINE-1) DNA methylation (an index of global DNA methylation) is associated with biomarkers of metabolic health was investigated in this study. Methods Global LINE-1 DNA methylation was quantified by pyrosequencing in blood-derived DNA samples from 228 individuals, aged 49-51 years, from the Newcastle Thousand Families Study (NTFS). Associations between log-transformed LINE-1 DNA methylation levels and anthropometric and blood biochemical measurements, including triglycerides, total cholesterol, low-density lipoprotein (LDL) and high-density lipoprotein (HDL) cholesterol, fasting glucose and insulin secretion and resistance were examined. Results Linear regression, after adjustment for sex, demonstrated positive associations between log-transformed LINE-1 DNA methylation and fasting glucose {coefficient 2.80 [ 95% confidence interval (CI) 0.39-5.22]}, total cholesterol [4.76 (95% CI 1.43-8.10)], triglycerides [3.83 (95% CI 1.30-6.37)] and LDL-cholesterol [5.38 (95% CI 2.12-8.64)] concentrations. A negative association was observed between log-transformed LINE-1 methylation and both HDL cholesterol concentration [-1.43 (95% CI -2.38 to -0.48)] and HDL: LDL ratio [-1.06 (95% CI -1.76 to -0.36)]. These coefficients reflect the millimoles per litre change in biochemical measurements per unit increase in log-transformed LINE-1 methylation. Conclusions These novel associations between global LINE-1 DNA methylation and blood glycaemic and lipid profiles highlight a potential role for epigenetic biomarkers as predictors of metabolic disease and may be relevant to future diagnosis, prevention and treatment of this group of disorders. Further work is required to establish the role of confounding and reverse causation in the observed associations.
引用
收藏
页码:210 / 217
页数:8
相关论文
共 44 条
[11]   Epigenetics at the epicenter of modern medicine [J].
Feinberg, Andrew P. .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2008, 299 (11) :1345-1350
[12]  
FRIEDEWALD WT, 1972, CLIN CHEM, V18, P499
[13]   Quantitative, high-resolution epigenetic profiling of CpG loci identifies associations with cord blood plasma homocysteine and birth weight in humans [J].
Fryer, Anthony A. ;
Emes, Richard D. ;
Ismail, Khaled M. K. ;
Haworth, Kim E. ;
Mein, Charles ;
Carroll, William D. ;
Farrell, William E. .
EPIGENETICS, 2011, 6 (01) :86-94
[14]   Distinct DNA methylation changes highly correlated with chronological age in the human brain [J].
Hernandez, Dena G. ;
Nalls, Michael A. ;
Gibbs, J. Raphael ;
Arepalli, Sampath ;
van der Brug, Marcel ;
Chong, Sean ;
Moore, Matthew ;
Longo, Dan L. ;
Cookson, Mark R. ;
Traynor, Bryan J. ;
Singleton, Andrew B. .
HUMAN MOLECULAR GENETICS, 2011, 20 (06) :1164-1172
[15]   An Immune Response Network Associated with Blood Lipid Levels [J].
Inouye, Michael ;
Silander, Kaisa ;
Hamalainen, Eija ;
Salomaa, Veikko ;
Harald, Kennet ;
Jousilahti, Pekka ;
Mannisto, Satu ;
Eriksson, Johan G. ;
Saarela, Janna ;
Ripatti, Samuli ;
Perola, Markus ;
van Ommen, Gert-Jan B. ;
Taskinen, Marja-Riitta ;
Palotie, Aarno ;
Dermitzakis, Emmanouil T. ;
Peltonen, Leena .
PLOS GENETICS, 2010, 6 (09)
[16]   Distinctive patterns of age-dependent hypomethylation in interspersed repetitive sequences [J].
Jintaridth, Pornrutsami ;
Mutirangura, Apiwat .
PHYSIOLOGICAL GENOMICS, 2010, 41 (02) :194-200
[17]   Glucose restriction can extend normal cell lifespan and impair precancerous cell growth through epigenetic control of hTERT and p16 expression [J].
Li, Yuanyuan ;
Liu, Liang ;
Tollefsbol, Trygve O. .
FASEB JOURNAL, 2010, 24 (05) :1442-1453
[18]   Epigenomic alterations and gene expression profiles in respiratory epithelia exposed to cigarette smoke condensate [J].
Liu, F. ;
Killian, J. K. ;
Yang, M. ;
Walker, R. L. ;
Hong, J. A. ;
Zhang, M. ;
Davis, S. ;
Zhang, Y. ;
Hussain, M. ;
Xi, S. ;
Rao, M. ;
Meltzer, P. A. ;
Schrump, D. S. .
ONCOGENE, 2010, 29 (25) :3650-3664
[19]   Widespread and tissue specific age-related DNA methylation changes in mice [J].
Maegawa, Shinji ;
Hinkal, George ;
Kim, Hyun Soo ;
Shen, Lanlan ;
Zhang, Li ;
Zhang, Jiexin ;
Zhang, Nianxiang ;
Liang, Shoudan ;
Donehower, Lawrence A. ;
Issa, Jean-Pierre J. .
GENOME RESEARCH, 2010, 20 (03) :332-340
[20]   Epigenomics: a basis for understanding individual differences? [J].
Mathers, John C. .
PROCEEDINGS OF THE NUTRITION SOCIETY, 2008, 67 (04) :390-394