Literature DB >> 34743014

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

Danni Liu1, Zhihong Yang2, Kristina Chandler2, Adepeju Oshodi2, Ting Zhang2, Jing Ma2, Praveen Kusumanchi2, Nazmul Huda2, Laura Heathers3, Kristina Perez2, Kelsey Tyler2, Ruth Ann Ross2, Yanchao Jiang2, Dabao Zhang1, Min Zhang4, Suthat Liangpunsakul5.   

Abstract

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.
Copyright © 2021 Elsevier Inc. All rights reserved.

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Year:  2021        PMID: 34743014      PMCID: PMC9506418          DOI: 10.1016/j.trsl.2021.10.008

Source DB:  PubMed          Journal:  Transl Res        ISSN: 1878-1810            Impact factor:   10.171


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