Metabolic signature of healthy lifestyle and its relation with risk of hepatocellular carcinoma in a large European cohort
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Accepted version
Accepted version
Author(s)
Type
Journal Article
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. This trial was registered at clinicaltrials.gov as NCT03356535.
Date Issued
2018-07-01
Date Acceptance
2018-03-21
Citation
American Journal of Clinical Nutrition, 2018, 108 (1), pp.117-126
ISSN
1938-3207
Publisher
Oxford University Press (OUP)
Start Page
117
End Page
126
Journal / Book Title
American Journal of Clinical Nutrition
Volume
108
Issue
1
Copyright Statement
© 2018 American Society for Nutrition.
This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/about_us/legal/notices)
This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/about_us/legal/notices)
Sponsor
Commission of the European Communities
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/29924298
PII: 5040001
Grant Number
SP23-CT-2005-006438
Subjects
Science & Technology
Life Sciences & Biomedicine
Nutrition & Dietetics
hepatocellular carcinoma
targeted metabolomics
multivariate statistics
metabolic signatures
partial least squares
healthy lifestyle index
EPIC
SERUM METABOLITES
DIETARY PATTERNS
LIVER-INJURY
HEPATITIS-B
ALCOHOL
CANCER
POPULATION
EPIDEMIOLOGY
BIOMARKERS
MORTALITY
Adult
Aged
Aged, 80 and over
Carcinoma, Hepatocellular
Case-Control Studies
Cohort Studies
Diet Surveys
Europe
Female
Healthy Lifestyle
Humans
Liver Neoplasms
Logistic Models
Male
Middle Aged
Risk Factors
Humans
Carcinoma, Hepatocellular
Liver Neoplasms
Diet Surveys
Logistic Models
Risk Factors
Case-Control Studies
Cohort Studies
Adult
Aged
Aged, 80 and over
Middle Aged
Europe
Female
Male
Healthy Lifestyle
Nutrition & Dietetics
11 Medical and Health Sciences
09 Engineering
Publication Status
Published
Coverage Spatial
United States
Date Publish Online
2018-06-21