Department of Statistics, Purdue University, West Lafayette, Indiana.
Division of Gastroenterology and Hepatology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana.
Transl Res. 2022 Feb;240:87-98. doi: 10.1016/j.trsl.2021.10.008. Epub 2021 Nov 3.
Appropriate screening tool for excessive alcohol use (EAU) is clinically important as it may help providers encourage early intervention and prevent adverse outcomes. We hypothesized that patients with excessive alcohol use will have distinct serum metabolites when compared to healthy controls. Serum metabolic profiling of 22 healthy controls and 147 patients with a history of EAU was performed. We employed seemingly unrelated regression to identify the unique metabolites and found 67 metabolites (out of 556), which were differentially expressed in patients with EAU. Sixteen metabolites belong to the sphingolipid metabolism, 13 belong to phospholipid metabolism, and the remaining 38 were metabolites of 25 different pathways. We also found 93 serum metabolites that were significantly associated with the total quantity of alcohol consumption in the last 30 days. A total of 15 metabolites belong to the sphingolipid metabolism, 11 belong to phospholipid metabolism, and 7 metabolites belong to lysolipid. Using a Venn diagram approach, we found the top 10 metabolites with differentially expressed in EAU and significantly associated with the quantity of alcohol consumption, sphingomyelin (d18:2/18:1), sphingomyelin (d18:2/21:0,d16:2/23:0), guanosine, S-methylmethionine, 10-undecenoate (11:1n1), sphingomyelin (d18:1/20:1, d18:2/20:0), sphingomyelin (d18:1/17:0, d17:1/18:0, d19:1/16:0), N-acetylasparagine, sphingomyelin (d18:1/19:0, d19:1/18:0), and 1-palmitoyl-2-palmitoleoyl-GPC (16:0/16:1). The diagnostic performance of the top 10 metabolites, using the area under the ROC curve, was significantly higher than that of commonly used markers. We have identified a unique metaboloic signature among patients with EAU. Future studies to validate and determine the kinetics of these markers as a function of alcohol consumption are needed.
适当的酒精使用过度(EAU)筛查工具在临床上很重要,因为它可以帮助提供者鼓励早期干预并预防不良后果。我们假设,与健康对照组相比,有过度饮酒史的患者的血清代谢产物会有所不同。对 22 名健康对照者和 147 名有 EAU 病史的患者进行了血清代谢组学分析。我们采用看似不相关的回归来确定独特的代谢产物,发现 67 种代谢产物(556 种中的 67 种)在 EAU 患者中表达不同。16 种代谢产物属于鞘脂代谢,13 种属于磷脂代谢,其余 38 种是 25 种不同途径的代谢产物。我们还发现 93 种血清代谢产物与过去 30 天内的总饮酒量显著相关。其中 15 种代谢产物属于鞘脂代谢,11 种属于磷脂代谢,7 种代谢产物属于溶血磷脂。通过 Venn 图方法,我们发现 EAU 中差异表达且与饮酒量显著相关的前 10 种代谢产物,分别是神经鞘磷脂(d18:2/18:1)、神经鞘磷脂(d18:2/21:0,d16:2/23:0)、鸟苷、S-甲基甲硫氨酸、10-十一烯酸(11:1n1)、神经鞘磷脂(d18:1/20:1,d18:2/20:0)、神经鞘磷脂(d18:1/17:0,d17:1/18:0,d19:1/16:0)、N-乙酰天冬氨酸、神经鞘磷脂(d18:1/19:0,d19:1/18:0)和 1-棕榈酰-2-棕榈油酸-GPC(16:0/16:1)。使用 ROC 曲线下面积,前 10 种代谢产物的诊断性能明显高于常用标志物。我们已经确定了 EAU 患者中独特的代谢特征。需要进一步研究来验证和确定这些标志物作为酒精消耗的函数的动力学。