Abstract
We sought to investigate the relationship between the changes of CpG island methylation status of LMNA gene and insulin resistance in polycystic ovary syndrome (PCOS) patients. The genome-wide methylation microarray screening was done in three PCOS cases of insulin resistance and one case of a normal woman. The PCOS insulin resistance-related genes were identified as indicated by the results of gene chip screening. Then, 24 cases of insulin-resistant PCOS patients and 24 cases of normal individuals were studied to identify the effects of the candidate genes using genome-wide study of DNA from the peripheral blood analyzed by MassARRAY®EpiTYPER™ DNA methylation analysis technique. We found that the methylation status of CpG island in the promoter area of LMNA gene was changed. The 20 CG sites in CpG island of LMNA gene were examined using case control experiment among which 12 CpG sites differed significantly (P < 0.05) between two groups while the remaining eight CpG sites differed non-significantly. We, therefore, concluded that the changes in the hypermethylation status of CpG island of LMNA gene were related to the insulin resistance in PCOS patients, indicating that this gene may be involved in the regulation of PCOS-associated insulin resistance.
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Acknowledgments
The authors thank Hui-Jun Wang, postdoctoral fellow at Fudan University Shanghai Medical College, for providing technical support and Prof. Lin Jinfang of OB/GYN hospital, Fudan University, China for valuable suggestions regarding PCOS cohort. The authors also thank all study participants, general practitioners, and field workers at the Research Center of OB/GYN Hospital & Shanghai Medical College of Fudan University, China. Finally, thanks for the great contribution of Prof. Hua keqin of OB/GYN hospital, Fudan University, China to the experimental design and modification.
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Co-first author: W. Ting, H. Jian.
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Ting, W., Yanyan, Q., Jian, H. et al. The Relationship Between Insulin Resistance and CpG Island Methylation of LMNA Gene in Polycystic Ovary Syndrome. Cell Biochem Biophys 67, 1041–1047 (2013). https://doi.org/10.1007/s12013-013-9602-z
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DOI: https://doi.org/10.1007/s12013-013-9602-z