| 摘要: | 研究背景：肝炎與脂肪肝是人類常見的疾病，在台灣，慢性肝病及肝硬化為全國主要死因的第9位，肝癌則為全國主要癌症死因的第2位。有研究指出肝炎病毒感染及肝癌與LINE-1的低甲基化有關聯性，但是相關的訊息有限，因此我們的研究目標是探討LINE-1 DNA甲基化程度與肝臟疾病指標之相關性。
研究方法：橫斷性研究。
參與者：研究樣本來自台灣人體資料生物庫(Taiwan Biobank) 2012年至2023年間收集的分佈在全國各地居民的健康數據，共189133個樣本。其中具有甲基化資料的樣本，共2469人。
結果測量方法：使用Illumina Infinium MethylationEPIC Bead Chip確定和分析LINE-1甲基化資料。根據中位數將LINE-1甲基化程度分為高或低甲基化組。肝炎病毒感染狀態; 脂肪肝及其他肝臟疾病指標使用台灣人體生物資料庫中的資料進行分組及計算。使用線性回歸來估計肝臟疾病與LINE-1甲基化程度之間的回歸係數（beta）和95%信賴區間（CI）。使用羅吉斯回歸來估計肝臟疾病與LINE-1甲基化高低分組之間的勝算比（OR）和95%CI。
研究結果：研究樣本平均年齡為49.73歲(標準差=11.08)，其中有1240人(50.22%)為男性。人口學基本變項中的性別; 年齡; 父親籍貫; 抽菸習慣和三酸甘油脂與LINE-1甲基化程度或高低分組有顯著相關(p<0.05)。在校正了可能的干擾因子後，唯有脂肪肝生物標誌物組合變項中的FIB-4分數≧1.45 (beta=0.1099, 95%CI=0.0050 to 0.2148, P=0.0400)和NFS (非酒精性脂肪肝疾病纖維化分數，NAFLD fibrosis score)介於-1.455到0.674之間 (beta=0.1550, 95%CI=0.0617 to 0.2484, P=0.0011)與LINE-1甲基化程度有顯著相關性。但是並未發現任何肝臟疾病指標與LINE-1甲基化高低分組有顯著相關。
結論：研究結果顯示肝纖維化指標，像是FIB-4和NFS與LINE-1甲基化程度有顯著相關性，需要進一步的影像檢查來評估肝的纖維化程度，以確定與LINE-1 DNA甲基化之間的關聯性。
Research Objectives: Hepatitis and fatty liver disease are common human diseases. In Taiwan, chronic liver disease and cirrhosis are the 9th leading cause of death nationwide, while liver cancer is the 2nd leading cause of cancer-related deaths. Some research has indicated an association between hepatitis virus infection, liver cancer, and hypomethylation of LINE-1. However, limited information exists on this topic. Our research objective was to investigate hepatitis and other liver-related indicators associated with LINE-1 DNA methylation levels.
Design: Cross-sectional study.
Participants: 189133 study samples were obtained from the Taiwan Biobank, which collected health data from residents across the country between 2012 and 2023. Among them, 2469 samples with methylation data were included in the study.
Main Outcome Measures: The data of LINE-1 methylation was determined and analyzed using the Illumina Infinium MethylationEPIC Bead Chip. LINE-1 methylation level was divided into high and low LINE-1 methylation groups according to the median. Hepatitis virus infection status, fatty liver, and other liver disease indicators were grouped and calculated using data from the Taiwan Biobank. Linear regression was used to estimate the regression coefficients (beta) and 95% confidence intervals (CI) for the association between liver disease and LINE-1 methylation levels. Logistic regression was used to estimate odds ratio (OR) and 95% CI of the association between liver diseases and LINE-1 methylation groups.
Results: The average age of the study sample was 49.73 years (SD=11.08) with 1240 (50.22%) males. In the univariable analysis, gender, age, father's ethnicity, smoking habits, and triglycerides were significantly associated with LINE-1 methylation status (p <0.05). After adjusting for potential confounders, only the FIB-4 score ? 1.45 (beta = 0.1099, 95% CI = 0.0050 to 0.2148, P = 0.0400) and the NFS (NAFLD fibrosis score) between -1.455 and 0.674 (beta = 0.1550, 95% CI = 0.0617 to 0.2484, P = 0.0011) among the fatty liver biomarker panels were significantly associated with the LINE-1 methylation levels. However, no significant association was found between any liver disease indicators and the high or low LINE-1 methylation groups.
Conclusions: The results show that liver fibrosis markers, such as FIB-4 and NFS, are significantly associated with the LINE-1 methylation levels. Further imaging examination is needed to evaluate the degree of liver fibrosis to confirm the association with LINE-1 DNA methylation. |
