TY - JOUR
T1 - High serum levels of l-carnitine and citric acid negatively correlated with alkaline phosphatase are detectable in Koreans before gastric cancer onset
AU - Han, Youngmin
AU - Yoo, Hye Jin
AU - Jee, Sun Ha
AU - Lee, Jong Ho
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2022/8
Y1 - 2022/8
N2 - 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.
AB - 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.
KW - Acyl-carnitine
KW - Alkaline phosphatase
KW - Carnitine
KW - Disease prediction
KW - Gastric cancer
KW - Metabolomics
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U2 - 10.1007/s11306-022-01922-7
DO - 10.1007/s11306-022-01922-7
M3 - Article
C2 - 35900644
AN - SCOPUS:85135144625
SN - 1573-3882
VL - 18
JO - Metabolomics
JF - Metabolomics
IS - 8
M1 - 62
ER -