Differential genome-wide DNA methylation patterns in childhood obesity

被引:16
|
作者
Cao-Lei, Lei [1 ,2 ]
Elgbeili, Guillaume [3 ]
Szyf, Moshe [4 ,5 ]
Laplante, David P. [3 ]
King, Suzanne [1 ,2 ,3 ]
机构
[1] McGill Univ, Dept Psychiat, Montreal, PQ, Canada
[2] Douglas Hosp, 6875 LaSalle Blvd, Montreal, PQ H4H 1R3, Canada
[3] Douglas Hosp, 6875 LaSalle Blvd, Montreal, PQ H4H 1R3, Canada
[4] McGill Univ, Dept Pharmacol & Therapeut, Montreal, PQ, Canada
[5] McGill Univ, Sackler Program Epigenet & Dev Psychobiol, Montreal, PQ, Canada
关键词
Genome-wide DNA methylation; Immune function; Obesity; Prenatal maternal stress; Project Ice Storm;
D O I
10.1186/s13104-019-4189-0
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Objective: Exposure to stress during pregnancy may program susceptibility to the development of obesity in offspring. Our goal was to determine whether prenatal maternal stress (PNMS) due to a natural disaster was associated with child obesity, and to compare the DNA methylation profiles in obese versus non-obese children at age 13 1/2 years. Women and their children were involved in the longitudinal natural disaster study-Project Ice Strom, which served as a human model to study PNMS. Blood was collected from 31 children (including five obese children). Infinium HumanMethylation450 BeadChip Array was performed for genome-wide DNA methylation analyses. Results: Results demonstrated a well-defined obesity-associated genome-wide DNA methylation pattern. There were 277 CpGs, corresponding to 143 genes, were differentially-methylated. IPA analyses revealed 51 canonical pathways, and enrichment of pathways was involved in immune function. Although no significant association was found between PNMS and child obesity, the preliminary data in the study revealed obesity-associated methylation patterns on a genome-wide level in children.
引用
收藏
页数:7
相关论文
共 50 条
  • [31] Genome-wide methylation patterns in Marfan syndrome
    Mitzi M. van Andel
    Maarten Groenink
    Maarten P. van den Berg
    Janneke Timmermans
    Arthur J. H. A. Scholte
    Barbara J. M. Mulder
    Aeilko H. Zwinderman
    Vivian de Waard
    Clinical Epigenetics, 2021, 13
  • [32] Advances in genome-wide DNA methylation analysis
    Gupta, Romi
    Nagarajan, Arvindhan
    Wajapeyee, Narendra
    BIOTECHNIQUES, 2010, 49 (04) : III - XI
  • [33] Challenges in understanding genome-wide DNA methylation
    Zhang M.Q.
    Smith A.D.
    Journal of Computer Science and Technology, 2010, 25 (1) : 26 - 34
  • [34] Genome-wide DNA Methylation Mapping in Cancer
    Shen, Lanlan
    TUMOR BIOLOGY, 2008, 29 : 16 - 16
  • [35] Genome-wide DNA methylation profile in mungbean
    Kang, Yang Jae
    Bae, Ahra
    Shim, Sangrea
    Lee, Taeyoung
    Lee, Jayern
    Satyawan, Dani
    Kim, Moon Young
    Lee, Suk-Ha
    SCIENTIFIC REPORTS, 2017, 7
  • [36] Genome-Wide Mapping of DNA Methylation in Chicken
    Li, Qinghe
    Li, Ning
    Hu, Xiaoxiang
    Li, Jinxiu
    Du, Zhuo
    Chen, Li
    Yin, Guangliang
    Duan, Jinjie
    Zhang, Haichao
    Zhao, Yaofeng
    Wang, Jun
    Li, Ning
    PLOS ONE, 2011, 6 (05):
  • [37] Challenges in Understanding Genome-Wide DNA Methylation
    张伟奇
    Andrew D. Smith
    JournalofComputerScience&Technology, 2010, 25 (01) : 26 - 34
  • [38] Genome-wide DNA methylation profile in mungbean
    Yang Jae Kang
    Ahra Bae
    Sangrea Shim
    Taeyoung Lee
    Jayern Lee
    Dani Satyawan
    Moon Young Kim
    Suk-Ha Lee
    Scientific Reports, 7
  • [39] A genome-wide DNA methylation study in azoospermia
    Ferfouri, F.
    Boitrelle, F.
    Ghout, I.
    Albert, M.
    Gomes, D. Molina
    Wainer, R.
    Bailly, M.
    Selva, J.
    Vialard, F.
    ANDROLOGY, 2013, 1 (06) : 815 - 821
  • [40] Genome-wide DNA methylation changes in human
    Siebert-Kuss, Lara M.
    Dietrich, Verena
    Di Persio, Sara
    Bhaskaran, Jahnavi
    Stehling, Martin
    Cremers, Jann-Frederik
    Sandmann, Sarah
    Varghese, Julian
    Kliesch, Sabine
    Schlatt, Stefan
    Vaquerizas, Juan M.
    Neuhaus, Nina
    Laurentino, Sandra
    AMERICAN JOURNAL OF HUMAN GENETICS, 2024, 111 (06) : 1125 - 1139