Integration of gene expression and DNA methylation profiles provides a molecular subtype for risk assessment in atherosclerosis

Corrigendum in: /10.3892/mmr.2016.5915

  • Authors:
    • Sheng‑Chao Ma
    • Hui‑Ping Zhang
    • Fan‑Qi Kong
    • Hui Zhang
    • Cheng Yang
    • Yang‑Yang He
    • Yan‑Hua Wang
    • An‑Ning Yang
    • Ju Tian
    • Xiao‑Ling Yang
    • Ming‑Hao Zhang
    • Hua Xu
    • Yi‑Deng Jiang
    • Zheng Yu
  • View Affiliations

  • Published online on: April 13, 2016     https://doi.org/10.3892/mmr.2016.5120
  • Pages: 4791-4799
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Abstract

The aim of the present study was to identify an effective method for detecting early‑phase atherosclerosis (AS), as well as to provide useful DNA methylation profiles to serve as biomarkers for the detection of AS. A total of 300 individuals (150 AS patients and 150 healthy subjects) were recruited for peripheral blood DNA methylation analyses at 12 gene promoter loci using nested methylation‑specific polymerase chain reaction in a test set. Based on the test set, the promoter methylation of TIMP metallopeptidase inhibitor 1 (TIMP1), ATP binding cassette subfamily A member 1 (ABCA1), and acetyl-CoA acetyltransferase 1 (ACAT1) were determined to be candidate biomarkers; demonstrating the highest sensitivity (88%) and specificity (90%). The biomarkers that were candidates for early AS detection were validated in an independent validation set (n=100). In the validation set, the combination of TIMP1, ABCA1 and ACAT1 methylation achieved sensitivity, specificity and coincidence rate values of 88, 70 and 79%, respectively. In the current pilot study, the patterns of DNA methylation of AS‑associated genes were observed to be significantly altered in the peripheral blood of AS patients. Thus, the AS-specific methylation of the three‑gene panel (TIMP1, ABCA1, and ACAT1) may serve as a valuable biomarker for the early detection of AS.
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June-2016
Volume 13 Issue 6

Print ISSN: 1791-2997
Online ISSN:1791-3004

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Spandidos Publications style
Ma SC, Zhang HP, Kong FQ, Zhang H, Yang C, He YY, Wang YH, Yang AN, Tian J, Yang XL, Yang XL, et al: Integration of gene expression and DNA methylation profiles provides a molecular subtype for risk assessment in atherosclerosis Corrigendum in /10.3892/mmr.2016.5915. Mol Med Rep 13: 4791-4799, 2016
APA
Ma, S., Zhang, H., Kong, F., Zhang, H., Yang, C., He, Y. ... Yu, Z. (2016). Integration of gene expression and DNA methylation profiles provides a molecular subtype for risk assessment in atherosclerosis Corrigendum in /10.3892/mmr.2016.5915. Molecular Medicine Reports, 13, 4791-4799. https://doi.org/10.3892/mmr.2016.5120
MLA
Ma, S., Zhang, H., Kong, F., Zhang, H., Yang, C., He, Y., Wang, Y., Yang, A., Tian, J., Yang, X., Zhang, M., Xu, H., Jiang, Y., Yu, Z."Integration of gene expression and DNA methylation profiles provides a molecular subtype for risk assessment in atherosclerosis Corrigendum in /10.3892/mmr.2016.5915". Molecular Medicine Reports 13.6 (2016): 4791-4799.
Chicago
Ma, S., Zhang, H., Kong, F., Zhang, H., Yang, C., He, Y., Wang, Y., Yang, A., Tian, J., Yang, X., Zhang, M., Xu, H., Jiang, Y., Yu, Z."Integration of gene expression and DNA methylation profiles provides a molecular subtype for risk assessment in atherosclerosis Corrigendum in /10.3892/mmr.2016.5915". Molecular Medicine Reports 13, no. 6 (2016): 4791-4799. https://doi.org/10.3892/mmr.2016.5120