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Paternally Expressed Gene 10 Promoter Methylation Level as a Predictor of HBeAg Seroconversion in Chronic Hepatitis B Patients.

The management of chronic hepatitis B (CHB) encounters challenges like suboptimal antiviral response and the lack of predictive biomarkers. In this study, the role of paternally expressed gene 10 (PEG10) in hepatitis B e antigen (HBeAg) seroconversion (HBeAg SC) was explored to identify a therapeutic target and predictive model. In total, 349 participants were recruited, and 141 HBeAg-positive patients were followed up after 48 weeks of antiviral therapy. Key genes were screened by machine learning algorithms (BORUTA, RF and LASSO). PEG10 mRNA, promoter methylation and plasma levels were examined. The effect of PEG10 was assessed by logistic regression, and HBeAg SC was predicted by nomograms. HBeAg-positive patients showed markedly elevated PEG10 mRNA expression (p&#x2009;<&#x2009;0.001), which correlated strongly with major virological markers such as HBV DNA (r&#x2009;=&#x2009;0.520, p&#x2009;<&#x2009;0.001), HBeAg (r&#x2009;=&#x2009;0.490, p&#x2009;<&#x2009;0.001) and HBsAg (r&#x2009;=&#x2009;0.400, p&#x2009;<&#x2009;0.001). In addition, HBeAg-positive patients exhibited a significant reduction in PEG10 promoter methylation levels compared with controls (p&#x2009;<&#x2009;0.001). According to logistic regression analysis, PEG10 promoter methylation status was an independent predictor of HBeAg SC. The predictive nomogram incorporating PEG10 promoter methylation ratio (PMR), albumin (ALB), aspartate aminotransferase (AST) and HBeAg demonstrated excellent clinical predictive value (area under curve (AUC)&#x2009;=&#x2009;0.895,95% confidence interval (CI): 0.808&#x2009;~&#x2009;0.963). The methylation status of the PEG10 promoter represents a promising biomarker for the prediction of HBeAg SC in patients with CHB. CLINICAL TRIAL REGISTRATION: Not applicable.

Humans

Epigenetic footprints: Investigating placental DNA methylation in the context of prenatal exposure to phenols and phthalates.

BACKGROUND: Endocrine disrupting compounds (EDCs) such as phthalates and phenols can affect placental functioning and fetal health, potentially via epigenetic modifications. We investigated the associations between pregnancy exposure to synthetic phenols and phthalates estimated from repeated urine sampling and genome wide placental DNA methylation. METHODS: The study is based on 387 women with placental DNA methylation assessed with Infinium MethylationEPIC arrays and with 7 phenols, 13 phthalates, and two non-phthalate plasticizer metabolites measured in pools of urine samples collected twice during pregnancy. We conducted an exploratory analysis on individual CpGs (EWAS) and differentially methylated regions (DMRs) as well as a candidate analysis focusing on 20 previously identified CpGs. Sex-stratified analyses were also performed. RESULTS: In the exploratory analysis, when both sexes were studied together no association was observed in the EWAS. In the sex-stratified analysis, 114 individual CpGs (68 in males, 46 in females) were differentially methylated, encompassing 74 genes (36 for males and 38 for females). We additionally identified 28 DMRs in the entire cohort, 40 for females and 42 for males. Associations were mostly positive (for DMRs: 93% positive associations in the entire cohort, 60% in the sex-stratified analysis), with the exception of several associations for bisphenols and DINCH metabolites that were negative. Biomarkers associated with most DMRs were parabens, DEHP, and DiNP metabolite concentrations. Some DMRs encompassed imprinted genes including APC (associated with parabens and DiNP metabolites), GNAS (bisphenols), ZIM2;PEG3;MIMT1 (parabens, monoethyl phthalate), and SGCE;PEG10 (parabens, DINCH metabolites). Terms related to adiposity, lipid and glucose metabolism, and cardiovascular function were among the enriched phenotypes associated with differentially methylated CpGs. The candidate analysis identified one CpG mapping to imprinted LGALS8 gene, negatively associated with ethylparaben. CONCLUSIONS: By combining improved exposure assessment and extensive placental epigenome coverage, we identified several novel genes associated with the exposure, possibly in a sex-specific manner.

Humans