IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v13y2016i8p776-d75162.html
   My bibliography  Save this article

Correlation of CpG Island Methylation of the Cytochrome P450 2E1/2D6 Genes with Liver Injury Induced by Anti-Tuberculosis Drugs: A Nested Case-Control Study

Author

Listed:
  • Jinling Zhang

    (Hebei Province Key Laboratory of Occupational Health and Safety for Coal Industry, School of Public Health, North China University of Science and Technology, No.57 Jianshe Road, Tangshan 063000, China)

  • Xuebin Zhu

    (Hebei Province Key Laboratory of Occupational Health and Safety for Coal Industry, School of Public Health, North China University of Science and Technology, No.57 Jianshe Road, Tangshan 063000, China)

  • Yuhong Li

    (Hebei Province Key Laboratory of Occupational Health and Safety for Coal Industry, School of Public Health, North China University of Science and Technology, No.57 Jianshe Road, Tangshan 063000, China)

  • Lingyan Zhu

    (Hebei Province Key Laboratory of Occupational Health and Safety for Coal Industry, School of Public Health, North China University of Science and Technology, No.57 Jianshe Road, Tangshan 063000, China)

  • Shiming Li

    (Department of Clinical Laboratories, Tangshan Tuberculosis Hospital, Tangshan 063000, China)

  • Guoying Zheng

    (Hebei Province Key Laboratory of Occupational Health and Safety for Coal Industry, School of Public Health, North China University of Science and Technology, No.57 Jianshe Road, Tangshan 063000, China)

  • Qi Ren

    (Hebei Province Key Laboratory of Occupational Health and Safety for Coal Industry, School of Public Health, North China University of Science and Technology, No.57 Jianshe Road, Tangshan 063000, China)

  • Yonghong Xiao

    (Hebei Province Key Laboratory of Occupational Health and Safety for Coal Industry, School of Public Health, North China University of Science and Technology, No.57 Jianshe Road, Tangshan 063000, China)

  • Fumin Feng

    (Hebei Province Key Laboratory of Occupational Health and Safety for Coal Industry, School of Public Health, North China University of Science and Technology, No.57 Jianshe Road, Tangshan 063000, China)

Abstract

This study investigated the role of CpG island methylation of the CYP2E1 and CYP2D6 genes in liver injury induced by anti-TB drugs from an epigenetic perspective in a Chinese cohort. A 1:1 matched nested case-control study design was applied. Pulmonary tuberculosis (TB) patients, who underwent standard anti-TB therapy and developed liver injury were defined as cases, while those who did not develop liver injury were defined as control. The two groups were matched in terms of sex, treatment regimen, and age. In 114 pairs of cases, CpG island methylation levels of the CYP2E1 and CYP2D6 genes in plasma cell-free DNA were found to be significantly correlated with the occurrence of anti-TB drug-induced liver injury (ADLI), with odds ratio (OR) values of 2.429 and 3.500, respectively ( p < 0.01). Moreover, through multivariate logistic regression analysis, CpG island methylation of the CYP2E1 and CYP2D6 genes in plasma cell-free DNA were found to be significantly correlated with the occurrence of ADLI, with adjusted OR values of 4.390 (95% confidence interval (CI): 1.982–9.724) and 9.193 (95% CI: 3.624–25.888), respectively ( p < 0.001). These results suggest that aberrantly elevated methylation of CpG islands of the CYP2E1 and CYP2D6 genes in plasma cell-free DNA may increase the risk of ADLI in Chinese TB patients.

Suggested Citation

  • Jinling Zhang & Xuebin Zhu & Yuhong Li & Lingyan Zhu & Shiming Li & Guoying Zheng & Qi Ren & Yonghong Xiao & Fumin Feng, 2016. "Correlation of CpG Island Methylation of the Cytochrome P450 2E1/2D6 Genes with Liver Injury Induced by Anti-Tuberculosis Drugs: A Nested Case-Control Study," IJERPH, MDPI, vol. 13(8), pages 1-9, August.
    • Handle: RePEc:gam:jijerp:v:13:y:2016:i:8:p:776-:d:75162
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/13/8/776/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/13/8/776/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alexander Meissner & Tarjei S. Mikkelsen & Hongcang Gu & Marius Wernig & Jacob Hanna & Andrey Sivachenko & Xiaolan Zhang & Bradley E. Bernstein & Chad Nusbaum & David B. Jaffe & Andreas Gnirke & Rudol, 2008. "Genome-scale DNA methylation maps of pluripotent and differentiated cells," Nature, Nature, vol. 454(7205), pages 766-770, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sandhya Malla & Kanchan Kumari & Carlos A. García-Prieto & Jonatan Caroli & Anna Nordin & Trinh T. T. Phan & Devi Prasad Bhattarai & Carlos Martinez-Gamero & Eshagh Dorafshan & Stephanie Stransky & Da, 2024. "The scaffolding function of LSD1 controls DNA methylation in mouse ESCs," Nature Communications, Nature, vol. 15(1), pages 1-24, December.
    2. Amir D. Hay & Noah J. Kessler & Daniel Gebert & Nozomi Takahashi & Hugo Tavares & Felipe K. Teixeira & Anne C. Ferguson-Smith, 2023. "Epigenetic inheritance is unfaithful at intermediately methylated CpG sites," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    3. Yurika Matsui & Mohamed Nadhir Djekidel & Katherine Lindsay & Parimal Samir & Nina Connolly & Gang Wu & Xiaoyang Yang & Yiping Fan & Beisi Xu & Jamy C. Peng, 2023. "SNIP1 and PRC2 coordinate cell fates of neural progenitors during brain development," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    4. Johanna Klughammer & Daria Romanovskaia & Amelie Nemc & Annika Posautz & Charlotte A. Seid & Linda C. Schuster & Melissa C. Keinath & Juan Sebastian Lugo Ramos & Lindsay Kosack & Ann Evankow & Dieter , 2023. "Comparative analysis of genome-scale, base-resolution DNA methylation profiles across 580 animal species," Nature Communications, Nature, vol. 14(1), pages 1-23, December.
    5. Sun Shuying & Yu Xiaoqing, 2016. "HMM-Fisher: identifying differential methylation using a hidden Markov model and Fisher’s exact test," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 15(1), pages 55-67, March.
    6. Yu Xiaoqing & Sun Shuying, 2016. "HMM-DM: identifying differentially methylated regions using a hidden Markov model," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 15(1), pages 69-81, March.
    7. Jincheol Park & Shili Lin, 2018. "Detection of Differentially Methylated Regions Using Bayesian Curve Credible Bands," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 10(1), pages 20-40, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:13:y:2016:i:8:p:776-:d:75162. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.