Youngmin Han, Hye Jin Yoo, Sun Ha Jee, Jong Ho Lee
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Identified putative biomarkers were validated in baseline serum samples of 140 subjects (validation set; control and GC occurrence group, 70 each) using targeted metabolites analysis.</p><p><strong>Results: </strong>The final analysis was conducted on the discovery set (control, n = 52 vs. GC occurrence, n = 50) and the validation set (control, n = 43 vs. GC occurrence, n = 44) applying exclusion conditions. Eighteen putative metabolite sets differed between two groups found on nontargeted metabolic screening. We focused on fatty acid-related energy metabolism. In targeted analysis, levels of decanoyl-L-carnitine (p = 0.019), L-carnitine (p = 0.033), and citric acid (p = 0.025) were significantly lower in the GC occurrence group, even after adjusting for age, sex, and smoking status. Additionally, L-carnitine and citric acid were confirmed to have an independently significant relationship to GC development. Notably, alkaline phosphatase showed a significant correlation with these two biomarkers.</p><p><strong>Conclusion: </strong>Changes in serum L-carnitine and citric acid levels that may result from alterations of fatty-acid-related energy metabolism are expected to be valuable biomarkers for the early diagnosis of GC risk.</p>","PeriodicalId":144887,"journal":{"name":"Metabolomics : Official journal of the Metabolomic Society","volume":" ","pages":"62"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"High serum levels of L-carnitine and citric acid negatively correlated with alkaline phosphatase are detectable in Koreans before gastric cancer onset.\",\"authors\":\"Youngmin Han, Hye Jin Yoo, Sun Ha Jee, Jong Ho Lee\",\"doi\":\"10.1007/s11306-022-01922-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Monitoring metabolic biomarkers could be utilized as an effective tool for the early detection of gastric cancer (GC) risk.</p><p><strong>Objective: </strong>We aimed to discover predictive serum biomarkers for GC and investigate biomarker-related metabolism.</p><p><strong>Methods: </strong>Subjects were randomly selected from the Korean Cancer Prevention Study-II cohort and matched by age and sex. We analyzed baseline serum samples of 160 subjects (discovery set; control and GC occurrence group, 80 each) via nontargeted screening. Identified putative biomarkers were validated in baseline serum samples of 140 subjects (validation set; control and GC occurrence group, 70 each) using targeted metabolites analysis.</p><p><strong>Results: </strong>The final analysis was conducted on the discovery set (control, n = 52 vs. GC occurrence, n = 50) and the validation set (control, n = 43 vs. GC occurrence, n = 44) applying exclusion conditions. Eighteen putative metabolite sets differed between two groups found on nontargeted metabolic screening. We focused on fatty acid-related energy metabolism. In targeted analysis, levels of decanoyl-L-carnitine (p = 0.019), L-carnitine (p = 0.033), and citric acid (p = 0.025) were significantly lower in the GC occurrence group, even after adjusting for age, sex, and smoking status. 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引用次数: 1
摘要
摘要:监测代谢生物标志物可作为早期检测胃癌(GC)风险的有效工具。目的:发现胃癌的预测血清生物标志物,并研究生物标志物相关代谢。方法:从韩国癌症预防研究ii队列中随机选择受试者,按年龄和性别匹配。我们分析了160名受试者的基线血清样本(发现集;对照组和胃癌发生组各80例)。在140名受试者的基线血清样本中验证了已确定的假定生物标志物(验证集;对照组和GC发生组各70例)采用靶向代谢物分析。结果:采用排除条件对发现集(对照,n = 52 vs. GC发生,n = 50)和验证集(对照,n = 43 vs. GC发生,n = 44)进行最终分析。在非靶向代谢筛查中发现的两组之间有18个假定代谢物组存在差异。我们专注于脂肪酸相关的能量代谢。在针对性分析中,即使在调整了年龄、性别和吸烟状况后,GC发生组的癸醇-左旋肉碱(p = 0.019)、左旋肉碱(p = 0.033)和柠檬酸(p = 0.025)水平也显著降低。此外,左旋肉碱和柠檬酸被证实与GC的发展有独立的显著关系。值得注意的是,碱性磷酸酶与这两种生物标志物具有显著的相关性。结论:脂肪酸相关能量代谢的改变可能导致血清左旋肉碱和柠檬酸水平的变化,有望成为早期诊断胃癌风险的有价值的生物标志物。
High serum levels of L-carnitine and citric acid negatively correlated with alkaline phosphatase are detectable in Koreans before gastric cancer onset.
Introduction: Monitoring metabolic biomarkers could be utilized as an effective tool for the early detection of gastric cancer (GC) risk.
Objective: We aimed to discover predictive serum biomarkers for GC and investigate biomarker-related metabolism.
Methods: Subjects were randomly selected from the Korean Cancer Prevention Study-II cohort and matched by age and sex. We analyzed baseline serum samples of 160 subjects (discovery set; control and GC occurrence group, 80 each) via nontargeted screening. Identified putative biomarkers were validated in baseline serum samples of 140 subjects (validation set; control and GC occurrence group, 70 each) using targeted metabolites analysis.
Results: The final analysis was conducted on the discovery set (control, n = 52 vs. GC occurrence, n = 50) and the validation set (control, n = 43 vs. GC occurrence, n = 44) applying exclusion conditions. Eighteen putative metabolite sets differed between two groups found on nontargeted metabolic screening. We focused on fatty acid-related energy metabolism. In targeted analysis, levels of decanoyl-L-carnitine (p = 0.019), L-carnitine (p = 0.033), and citric acid (p = 0.025) were significantly lower in the GC occurrence group, even after adjusting for age, sex, and smoking status. Additionally, L-carnitine and citric acid were confirmed to have an independently significant relationship to GC development. Notably, alkaline phosphatase showed a significant correlation with these two biomarkers.
Conclusion: Changes in serum L-carnitine and citric acid levels that may result from alterations of fatty-acid-related energy metabolism are expected to be valuable biomarkers for the early diagnosis of GC risk.