Harada Sei, Takebayashi Toru, Kurihara Ayako, Akiyama Miki, Suzuki Asako, Hatakeyama Yoko, Sugiyama Daisuke, Kuwabara Kazuyo, Takeuchi Ayano, Okamura Tomonori, Nishiwaki Yuji, Tanaka Taichiro, Hirayama Akiyoshi, Sugimoto Masahiro, Soga Tomoyoshi, Tomita Masaru
Department of Preventive Medicine and Public Health, School of Medicine, Keio University, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Institute for Advanced Biosciences, Keio University, Tsuruoka, 997-0052, Japan.
Environ Health Prev Med. 2016 Jan;21(1):18-26. doi: 10.1007/s12199-015-0494-y. Epub 2015 Oct 12.
Metabolomics is a promising approach to the identification of biomarkers in plasma. Here, we performed a population-based, cross-sectional study to identify potential biomarkers of alcohol intake and alcohol-induced liver injury by metabolomic profiling using capillary electrophoresis-mass spectrometry (CE-MS).
Fasting plasma samples were collected from 896 Japanese men who participated in the baseline survey of the Tsuruoka Metabolomics Cohort Study, and 115 polar metabolites were identified and absolutely quantified by CE-MS. Information on daily ethanol intake was collected through a standardized, self-administered questionnaire. The associations between ethanol intake and plasma concentration of metabolites were examined. Relationships between metabolite concentrations or their ratios and serum liver enzyme levels in the highest ethanol intake group (>46.0 g/day) were then examined by linear regression analysis. Replication analysis was conducted in 193 samples collected from independent population of this cohort.
Nineteen metabolites were identified to have an association with daily alcohol consumption both in the original and replication population. Three of these metabolites (threonine, glutamine, and guanidinosuccinate) were found to associate well with elevated levels of serum liver enzymes in the highest ethanol intake group, but not in the non-drinker group. We also found that the glutamate/glutamine ratio had a much stronger relation to serum γ-glutamyltransferase, aspartate transaminase, and alanine transaminase than glutamate or glutamine alone (standardized beta = 0.678, 0.558, 0.498, respectively).
We found 19 metabolites associated with alcohol intake, and three biomarker candidates (threonine, guanidinosuccinate and glutamine) of alcohol-induced liver injury. Glutamate/glutamine ratio might also be good biomarker.
代谢组学是一种很有前景的用于识别血浆生物标志物的方法。在此,我们开展了一项基于人群的横断面研究,旨在通过使用毛细管电泳-质谱联用技术(CE-MS)进行代谢组学分析来识别酒精摄入量及酒精性肝损伤的潜在生物标志物。
从896名参与鹤冈代谢组学队列研究基线调查的日本男性中采集空腹血浆样本,通过CE-MS识别并绝对定量115种极性代谢物。通过标准化的自填问卷收集每日乙醇摄入量信息。研究乙醇摄入量与代谢物血浆浓度之间的关联。然后,通过线性回归分析研究最高乙醇摄入量组(>46.0克/天)中代谢物浓度或其比值与血清肝酶水平之间的关系。在从该队列独立人群中收集的193个样本中进行重复分析。
在原始人群和重复人群中均鉴定出19种代谢物与每日酒精消费有关。其中三种代谢物(苏氨酸、谷氨酰胺和胍基琥珀酸)在最高乙醇摄入量组中与血清肝酶水平升高密切相关,但在非饮酒组中并非如此。我们还发现,谷氨酸/谷氨酰胺比值与血清γ-谷氨酰转移酶、天冬氨酸转氨酶和丙氨酸转氨酶的关系比单独的谷氨酸或谷氨酰胺更强(标准化β分别为0.678、0.558、0.498)。
我们发现19种与酒精摄入相关的代谢物,以及三种酒精性肝损伤的生物标志物候选物(苏氨酸、胍基琥珀酸和谷氨酰胺)。谷氨酸/谷氨酰胺比值也可能是良好的生物标志物。