Serum metabolomic analysis reveals several novel metabolites in association with excessive alcohol use - an exploratory study

dc.contributor.authorLiu, Danni
dc.contributor.authorYang, Zhihong
dc.contributor.authorChandler, Kristina
dc.contributor.authorOshodi, Adepeju
dc.contributor.authorZhang, Ting
dc.contributor.authorMa, Jing
dc.contributor.authorKusumanchi, Praveen
dc.contributor.authorHuda, Nazmul
dc.contributor.authorHeathers, Laura
dc.contributor.authorPerez, Kristina
dc.contributor.authorTyler, Kelsey
dc.contributor.authorRoss, Ruth Ann
dc.contributor.authorJiang, Yanchao
dc.contributor.authorZhang, Dabao
dc.contributor.authorZhang, Min
dc.contributor.authorLiangpunsakul, Suthat
dc.contributor.departmentMedicine, School of Medicine
dc.date.accessioned2023-10-24T11:16:44Z
dc.date.available2023-10-24T11:16:44Z
dc.date.issued2022
dc.description.abstractAppropriate 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.
dc.eprint.versionAuthor's manuscript
dc.identifier.citationLiu D, Yang Z, Chandler K, et al. Serum metabolomic analysis reveals several novel metabolites in association with excessive alcohol use - an exploratory study. Transl Res. 2022;240:87-98. doi:10.1016/j.trsl.2021.10.008
dc.identifier.urihttps://hdl.handle.net/1805/36594
dc.language.isoen_US
dc.publisherElsevier
dc.relation.isversionof10.1016/j.trsl.2021.10.008
dc.relation.journalTranslational Research
dc.rightsPublisher Policy
dc.sourcePMC
dc.subjectAlcohol drinking
dc.subjectMetabolome
dc.subjectLinear models
dc.subjectROC Curve
dc.subjectMetabolomics
dc.titleSerum metabolomic analysis reveals several novel metabolites in association with excessive alcohol use - an exploratory study
dc.typeArticle
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