Acuna Nicholas, Park Song-Yi, Conti David V, Stern Mariana C, Wu Anna H, Cheng Iona, Wilkens Lynne R, Shu Xiao-Ou, Setiawan Veronica Wendy
Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Population Sciences in the Pacific Program, University of Hawai'i Cancer Center, Honolulu, HI, USA.
Alcohol. 2025 May;124:105-110. doi: 10.1016/j.alcohol.2025.01.007. Epub 2025 Jan 27.
Excessive alcohol consumption is a significant public health concern and contributes to liver diseases and cancer. Modifiable lifestyle factors including alcohol consumption can influence circulating microRNAs (miRNAs), which are increasingly used as biomarkers for early disease detection. Yet limited studies have identified miRNAs associated with alcohol intake, particularly in multiethnic populations. We aimed to assess the association of alcohol consumption and circulating miRNAs in the Multiethnic Cohort Study. Participants (N = 917) had alcohol consumption data collected at baseline and miRNA data collected at follow-up. Negative binomial models were used to assess the association between alcohol consumption (continuous and categorical [nondrinkers: 0 g of ethanol/day; light drinkers: <28 g of ethanol/day for men and <14 g of ethanol/day for women; and heavy drinkers: ≥28 g of ethanol/day for men and ≥14 g of ethanol/day for women]) and miRNAs. Stratified analyses also examined categories by sex, race/ethnicity, smoking status, and body mass index. Overall, there were 52% non-drinkers, 37 % light drinkers, and 11 % were heavy drinkers. We did not detect an association of miRNAs with alcohol intake in continuous models after correcting for multiple comparisons. However, we did find an inverse association for light drinkers [incidence rate ratio (IRR) = 0.59, p = 8.21E-04] and heavy drinkers (IRR = 0.44, p = 1.47E-03) compared to nondrinkers for miR-451a. Additionally, miR-320e (IRR = 0.63, p = 1.61E-03) had an inverse association with alcohol intake for light drinkers compared to nondrinkers. Subgroup analysis also suggested there were differences by subgroups, underscoring that miRNAs used to detect chronic diseases may be subgroup specific. When stratified by case-control status, we found that among controls both light and heavy drinkers were associated with miR-451a. We identified an association for light and heavy drinkers with miR-451a and mir-320e, miRNAs associated with cancers and liver diseases, in comparison to nondrinkers.
过量饮酒是一个重大的公共卫生问题，会导致肝脏疾病和癌症。包括饮酒在内的可改变生活方式因素会影响循环微RNA（miRNA），miRNA越来越多地被用作疾病早期检测的生物标志物。然而，仅有有限的研究确定了与酒精摄入量相关的miRNA，尤其是在多民族人群中。我们旨在评估多民族队列研究中酒精消费与循环miRNA之间的关联。参与者（N = 917）在基线时收集了酒精消费数据，并在随访时收集了miRNA数据。使用负二项式模型评估酒精消费（连续型和分类型[不饮酒者：0克乙醇/天；轻度饮酒者：男性<28克乙醇/天，女性<14克乙醇/天；重度饮酒者：男性≥28克乙醇/天，女性≥14克乙醇/天]）与miRNA之间的关联。分层分析还按性别、种族/民族、吸烟状况和体重指数对类别进行了检查。总体而言，52%为不饮酒者，37%为轻度饮酒者，11%为重度饮酒者。在对多重比较进行校正后，我们在连续模型中未检测到miRNA与酒精摄入量之间的关联。然而，与不饮酒者相比，我们确实发现轻度饮酒者[发病率比（IRR）= 0.59，p = 8.21E - 04]和重度饮酒者（IRR = 0.44，p = 1.47E - 03）与miR - 451a呈负相关。此外，与不饮酒者相比，轻度饮酒者的miR - 320e（IRR = 0.63，p = 1.61E - 03）与酒精摄入量呈负相关。亚组分析还表明各亚组之间存在差异，这突出表明用于检测慢性病的miRNA可能具有亚组特异性。当按病例对照状态分层时，我们发现，在对照组中，轻度和重度饮酒者均与miR - 451a相关。与不饮酒者相比，我们确定轻度和重度饮酒者与miR - 451a和mir - 320e存在关联，这两种miRNA与癌症和肝脏疾病相关。
