Assi, Nada and Gunter, Marc J. and Thomas, Duncan C. and Leitzmann, Michael and Stepien, Magdalena and Chajes, Veronique and Philip, Thierry and Vineis, Paolo and Bamia, Christina and Boutron-Ruault, Marie-Christine and Sandanger, Torkjel M. and Molinuevo, Amaia and Boshuizen, Hendriek and Sundkvist, Anneli and Kuhn, Tilman and Travis, Ruth and Overvad, Kim and Riboli, Elio and Scalbert, Augustin and Jenab, Mazda and Viallon, Vivian and Ferrari, Pietro (2018) Metabolic signature of healthy lifestyle and its relation with risk of hepatocellular carcinoma in a large European cohort. AMERICAN JOURNAL OF CLINICAL NUTRITION, 108 (1). pp. 117-126. ISSN 0002-9165, 1938-3207
Full text not available from this repository. (Request a copy)Abstract
Background: Studies using metabolomic data have identified metabolites from several compound classes that are associated with disease-related lifestyle factors. Objective: In this study, we identified metabolic signatures reflecting lifestyle patterns and related them to the risk of hepatocellular carcinoma (HCC) in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Design: Within a nested case-control study of 147 incident HCC cases and 147 matched controls, partial least squares (PLS) analysis related 7 modified healthy lifestyle index (HLI) variables (diet, BMI, physical activity, lifetime alcohol, smoking, diabetes, and hepatitis) to 132 targeted serum-measured metabolites and a liver function score. The association between the resulting PLS scores and HCC risk was examined in multivariable conditional logistic regression models, where ORs and 95% CIs were computed. Results: The lifestyle component's PLS score was negatively associated with lifetime alcohol, BMI, smoking, and diabetes, and positively associated with physical activity. Its metabolic counterpart was positively related to the metabolites sphingomyelin (SM)(OH) C14: 1, C16: 1, and C22: 2 and negatively related to glutamate, hexoses, and the diacyl-phosphatidylcholine PC aaC32: 1. The lifestyle and metabolomics components were inversely associated with HCC risk, with the ORs for a 1-SD increase in scores equal to 0.53 (95% CI: 0.38, 0.74) and 0.28 (0.18, 0.43), and the associated AUCs equal to 0.64 (0.57, 0.70) and 0.74 (0.69, 0.80), respectively. Conclusions: This study identified a metabolic signature reflecting a healthy lifestyle pattern which was inversely associated with HCC risk. The metabolic profile displayed a stronger association with HCC than did the modified HLI derived from questionnaire data. Measuring a specific panel of metabolites may identify strata of the population at higher risk for HCC and can add substantial discrimination compared with questionnaire data.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | SERUM METABOLITES; DIETARY PATTERNS; LIVER-INJURY; HEPATITIS-B; ALCOHOL; CANCER; POPULATION; EPIDEMIOLOGY; BIOMARKERS; MORTALITY; hepatocellular carcinoma; targeted metabolomics; multivariate statistics; metabolic signatures; partial least squares; healthy lifestyle index; EPIC |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Institut für Epidemiologie und Präventivmedizin |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 02 Mar 2020 08:49 |
| Last Modified: | 02 Mar 2020 08:49 |
| URI: | https://pred.uni-regensburg.de/id/eprint/14273 |
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