TY - JOUR A1 - Rothwell, Joseph A. A1 - Murphy, Neil A1 - Aleksandrova, Krasimira A1 - Schulze, Matthias Bernd A1 - Bešević, Jelena A1 - Kliemann, Nathalie A1 - Jenab, Mazda A1 - Ferrari, Pietro A1 - Achaintre, David A1 - Gicquiau, Audrey A1 - Vozar, Béatrice A1 - Scalbert, Augustin A1 - Huybrechts, Inge A1 - Freisling, Heinz A1 - Prehn, Cornelia A1 - Adamski, Jerzy A1 - Cross, Amanda J. A1 - Pala, Valeria Maria A1 - Boutron-Ruault, Marie-Christine A1 - Dahm, Christina C. A1 - Overvad, Kim A1 - Gram, Inger Torhild A1 - Sandanger, Torkjel M. A1 - Skeie, Guri A1 - Jakszyn, Paula A1 - Tsilidis, Kostas K. A1 - Hughes, David J. A1 - van Guelpen, Bethany A1 - Bodén, Stina A1 - Sánchez, Maria-José A1 - Schmidt, Julie A. A1 - Katzke, Verena A1 - Kühn, Tilman A1 - Colorado-Yohar, Sandra A1 - Tumino, Rosario A1 - Bueno-de-Mesquita, Bas A1 - Vineis, Paolo A1 - Masala, Giovanna A1 - Panico, Salvatore A1 - Eriksen, Anne Kirstine A1 - Tjønneland, Anne A1 - Aune, Dagfinn A1 - Weiderpass, Elisabete A1 - Severi, Gianluca A1 - Chajès, Véronique A1 - Gunter, Marc J. T1 - Metabolic signatures of healthy lifestyle patterns and colorectal cancer risk in a European cohort JF - Clinical gastroenterology and hepatology N2 - BACKGROUND & AIMS: Colorectal cancer risk can be lowered by adherence to the World Cancer Research Fund/American Institute for Cancer Research (WCRF/AICR) guidelines. We derived metabolic signatures of adherence to these guidelines and tested their associations with colorectal cancer risk in the European Prospective Investigation into Cancer and Nutrition cohort. METHODS: Scores reflecting adherence to the WCRF/AICR recommendations (scale, 1-5) were calculated from participant data on weight maintenance, physical activity, diet, and alcohol among a discovery set of 5738 cancer-free European Prospective Investigation into Cancer and Nutrition participants with metabolomics data. Partial least-squares regression was used to derive fatty acid and endogenous metabolite signatures of the WCRF/AICR score in this group. In an independent set of 1608 colorectal cancer cases and matched controls, odds ratios (ORs) and 95% CIs were calculated for colorectal cancer risk per unit increase in WCRF/AICR score and per the corresponding change in metabolic signatures using multivariable conditional logistic regression. RESULTS: Higher WCRF/AICR scores were characterized by metabolic signatures of increased odd-chain fatty acids, serine, glycine, and specific phosphatidylcholines. Signatures were inversely associated more strongly with colorectal cancer risk (fatty acids: OR, 0.51 per unit increase; 95% CI, 0.29-0.90; endogenous metabolites: OR, 0.62 per unit change; 95% CI, 0.50-0.78) than the WCRF/AICR score (OR, 0.93 per unit change; 95% CI, 0.86-1.00) overall. Signature associations were stronger in male compared with female participants. CONCLUSIONS: Metabolite profiles reflecting adherence to WCRF/AICR guidelines and additional lifestyle or biological risk factors were associated with colorectal cancer. Measuring a specific panel of metabolites representative of a healthy or unhealthy lifestyle may identify strata of the population at higher risk of colorectal cancer. KW - colorectal neoplasm KW - risk factors KW - World Cancer Research Fund/American Institute for Cancer Research Recommendations KW - targeted metabolomics Y1 - 2020 U6 - https://doi.org/10.1016/j.cgh.2020.11.045 SN - 1542-3565 SN - 1542-7714 VL - 20 SP - E1061 EP - E1082 PB - Elsevier CY - New York, NY ER - TY - JOUR A1 - Jannasch, Franziska A1 - Kröger, Janine A1 - Agnoli, Claudia A1 - Barricarte, Aurelio A1 - Boeing, Heiner A1 - Cayssials, Valérie A1 - Colorado-Yohar, Sandra A1 - Dahm, Christina C. A1 - Dow, Courtney A1 - Fagherazzi, Guy A1 - Franks, Paul W. A1 - Freisling, Heinz A1 - Gunter, Marc J. A1 - Kerrison, Nicola D. A1 - Key, Timothy J. A1 - Khaw, Kay-Tee A1 - Kühn, Tilman A1 - Kyro, Cecilie A1 - Mancini, Francesca Romana A1 - Mokoroa, Olatz A1 - Nilsson, Peter A1 - Overvad, Kim A1 - Palli, Domenico A1 - Panico, Salvatore A1 - Quiros Garcia, Jose Ramon A1 - Rolandsson, Olov A1 - Sacerdote, Carlotta A1 - Sanchez, Maria-Jose A1 - Sahrai, Mohammad Sediq A1 - Schübel, Ruth A1 - Sluijs, Ivonne A1 - Spijkerman, Annemieke M. W. A1 - Tjonneland, Anne A1 - Tong, Tammy Y. N. A1 - Tumino, Rosario A1 - Riboli, Elio A1 - Langenberg, Claudia A1 - Sharp, Stephen J. A1 - Forouhi, Nita G. A1 - Schulze, Matthias Bernd A1 - Wareham, Nicholas J. T1 - Generalizability of a Diabetes-Associated Country-Specific Exploratory Dietary Pattern Is Feasible Across European Populations JF - The Journal of Nutrition N2 - Background: Population-specificity of exploratory dietary patterns limits their generalizability in investigations with type 2 diabetes incidence. Objective: The aim of this study was to derive country-specific exploratory dietary patterns, investigate their association with type 2 diabetes incidence, and replicate diabetes-associated dietary patterns in other countries. Methods: Dietary intake data were used, assessed by country-specific questionnaires at baseline of 11,183 incident diabetes cases and 14,694 subcohort members (mean age 52.9 y) from 8 countries, nested within the European Prospective Investigation into Cancer and Nutrition study (mean follow-up time 6.9 y). Exploratory dietary patterns were derived by principal component analysis. HRs for incident type 2 diabetes were calculated by Prentice-weighted Cox proportional hazard regression models. Diabetes-associated dietary patterns were simplified or replicated to be applicable in other countries. A meta-analysis across all countries evaluated the generalizability of the diabetes-association. Results: Two dietary patterns per country/UK-center, of which overall 3 dietary patterns were diabetes-associated, were identified. A risk-lowering French dietary pattern was not confirmed across other countries: pooled HRFrance per 1 SD: 1.00; 95% CI: 0.90, 1.10. Risk-increasing dietary patterns, derived in Spain and UK-Norfolk, were confirmed, but only the latter statistically significantly: HRSpain: 1.09; 95% CI: 0.97, 1.22 and HRUK-Norfolk: 1.12; 95% CI: 1.04, 1.20. Respectively, this dietary pattern was characterized by relatively high intakes of potatoes, processed meat, vegetable oils, sugar, cake and cookies, and tea. Conclusions: Only few country/center-specific dietary patterns (3 of 18) were statistically significantly associated with diabetes incidence in this multicountry European study population. One pattern, whose association with diabetes was confirmed across other countries, showed overlaps in the food groups potatoes and processed meat with identified diabetes-associated dietary patterns from other studies. The study demonstrates that replication of associations of exploratory patterns with health outcomes is feasible and a necessary step to overcome population-specificity in associations from such analyses. KW - dietary patterns KW - principal component analysis KW - diet-disease association KW - type 2 diabetes mellitus KW - replication KW - meta-analysis Y1 - 2019 U6 - https://doi.org/10.1093/jn/nxz031 SN - 0022-3166 SN - 1541-6100 VL - 149 IS - 6 SP - 1047 EP - 1055 PB - Oxford Univ. Press CY - Oxford ER - TY - JOUR A1 - Christakoudi, Sofa A1 - Tsilidis, Konstantinos K. A1 - Muller, David C. A1 - Freisling, Heinz A1 - Weiderpass, Elisabete A1 - Overvad, Kim A1 - Söderberg, Stefan A1 - Häggström, Christel A1 - Pischon, Tobias A1 - Dahm, Christina C. A1 - Zhang, Jie A1 - Tjønneland, Anne A1 - Schulze, Matthias Bernd T1 - A Body Shape Index (ABSI) achieves better mortality risk stratification than alternative indices of abdominal obesity: results from a large European cohort JF - Scientific Reports N2 - Abdominal and general adiposity are independently associated with mortality, but there is no consensus on how best to assess abdominal adiposity. We compared the ability of alternative waist indices to complement body mass index (BMI) when assessing all-cause mortality. We used data from 352,985 participants in the European Prospective Investigation into Cancer and Nutrition (EPIC) and Cox proportional hazards models adjusted for other risk factors. During a mean follow-up of 16.1 years, 38,178 participants died. Combining in one model BMI and a strongly correlated waist index altered the association patterns with mortality, to a predominantly negative association for BMI and a stronger positive association for the waist index, while combining BMI with the uncorrelated A Body Shape Index (ABSI) preserved the association patterns. Sex-specific cohort-wide quartiles of waist indices correlated with BMI could not separate high-risk from low-risk individuals within underweight (BMI<18.5 kg/m(2)) or obese (BMI30 kg/m(2)) categories, while the highest quartile of ABSI separated 18-39% of the individuals within each BMI category, which had 22-55% higher risk of death. In conclusion, only a waist index independent of BMI by design, such as ABSI, complements BMI and enables efficient risk stratification, which could facilitate personalisation of screening, treatment and monitoring. KW - all-cause mortality KW - anthropometric measures KW - mass index KW - overweight KW - cancer KW - prediction KW - adiposity KW - size Y1 - 2020 VL - 10 IS - 1 PB - Springer Nature CY - Berlin ER - TY - GEN A1 - Christakoudi, Sofa A1 - Tsilidis, Konstantinos K. A1 - Muller, David C. A1 - Freisling, Heinz A1 - Weiderpass, Elisabete A1 - Overvad, Kim A1 - Söderberg, Stefan A1 - Häggström, Christel A1 - Pischon, Tobias A1 - Dahm, Christina C. A1 - Zhang, Jie A1 - Tjønneland, Anne A1 - Schulze, Matthias Bernd T1 - A Body Shape Index (ABSI) achieves better mortality risk stratification than alternative indices of abdominal obesity: results from a large European cohort T2 - Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - Abdominal and general adiposity are independently associated with mortality, but there is no consensus on how best to assess abdominal adiposity. We compared the ability of alternative waist indices to complement body mass index (BMI) when assessing all-cause mortality. We used data from 352,985 participants in the European Prospective Investigation into Cancer and Nutrition (EPIC) and Cox proportional hazards models adjusted for other risk factors. During a mean follow-up of 16.1 years, 38,178 participants died. Combining in one model BMI and a strongly correlated waist index altered the association patterns with mortality, to a predominantly negative association for BMI and a stronger positive association for the waist index, while combining BMI with the uncorrelated A Body Shape Index (ABSI) preserved the association patterns. Sex-specific cohort-wide quartiles of waist indices correlated with BMI could not separate high-risk from low-risk individuals within underweight (BMI<18.5 kg/m(2)) or obese (BMI30 kg/m(2)) categories, while the highest quartile of ABSI separated 18-39% of the individuals within each BMI category, which had 22-55% higher risk of death. In conclusion, only a waist index independent of BMI by design, such as ABSI, complements BMI and enables efficient risk stratification, which could facilitate personalisation of screening, treatment and monitoring. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 1200 KW - all-cause mortality KW - anthropometric measures KW - mass index KW - overweight KW - cancer KW - prediction KW - adiposity KW - size Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-525827 SN - 1866-8372 IS - 1 ER -