@article{KroegerMeidtnerStefanetal.2018, author = {Kroeger, Janine and Meidtner, Karina and Stefan, Norbert and Guevara, Marcela and Kerrison, Nicola D. and Ardanaz, Eva and Aune, Dagfinn and Boeing, Heiner and Dorronsoro, Miren and Dow, Courtney and Fagherazzi, Guy and Franks, Paul W. and Freisling, Heinz and Gunter, Marc J. and Maria Huerta, Jose and Kaaks, Rudolf and Key, Timothy J. and Khaw, Kay Tee and Krogh, Vittorio and Kuehn, Tilman and Mancini, Francesca Romana and Mattiello, Amalia and Nilsson, Peter M. and Olsen, Anja and Overvad, Kim and Palli, Domenico and Ramon Quiros, J. and Rolandsson, Olov and Sacerdote, Carlotta and Sala, Nuria and Salamanca-Fernandez, Elena and Sluijs, Ivonne and Spijkerman, Annemieke M. W. and Tjonneland, Anne and Tsilidis, Konstantinos K. and Tumino, Rosario and van der Schouw, Yvonne T. and Forouhi, Nita G. and Sharp, Stephen J. and Langenberg, Claudia and Riboli, Elio and Schulze, Matthias Bernd and Wareham, Nicholas J.}, title = {Circulating Fetuin-A and Risk of Type 2 Diabetes}, series = {Diabetes : a journal of the American Diabetes Association}, volume = {67}, journal = {Diabetes : a journal of the American Diabetes Association}, number = {6}, publisher = {American Diabetes Association}, address = {Alexandria}, issn = {0012-1797}, doi = {10.2337/db17-1268}, pages = {1200 -- 1205}, year = {2018}, abstract = {Fetuin-A, a hepatic-origin protein, is strongly positively associated with risk of type 2 diabetes in human observational studies, but it is unknown whether this association is causal. Weaimed to study the potential causal relation of circulating fetuin-A to risk of type 2 diabetes in a Mendelian randomization study with single nucleotide polymorphisms located in the fetuin-A-encoding AHSG gene. We used data from eight European countries of the European Prospective Investigation into Cancer and Nutrition (EPIC)-InterAct case-cohort study including 10,020 incident cases. Plasma fetuin-A concentration was measured in a subset of 965 subcohort participants and 654 case subjects. A genetic score of the AHSG single nucleotide polymorphisms was strongly associated with fetuin-A (28\% explained variation). Using the genetic score as instrumental variable of fetuin-A, we observed no significant association of a 50 mu g/mL higher fetuin-A concentration with diabetes risk (hazard ratio 1.02 [95\% CI 0.97, 1.07]). Combining our results with those from the DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) consortium (12,171 case subjects) also did not suggest a clear significant relation of fetuin-A with diabetes risk. In conclusion, although there is mechanistic evidence for an effect of fetuin-A on insulin sensitivity and secretion, this study does not support a strong, relevant relationship between circulating fetuin-A and diabetes risk in the general population.}, language = {en} } @article{JannaschKroegerAgnolietal.2019, author = {Jannasch, Franziska and Kr{\"o}ger, Janine and Agnoli, Claudia and Barricarte, Aurelio and Boeing, Heiner and Cayssials, Val{\´e}rie and Colorado-Yohar, Sandra and Dahm, Christina C. and Dow, Courtney and Fagherazzi, Guy and Franks, Paul W. and Freisling, Heinz and Gunter, Marc J. and Kerrison, Nicola D. and Key, Timothy J. and Khaw, Kay-Tee and K{\"u}hn, Tilman and Kyro, Cecilie and Mancini, Francesca Romana and Mokoroa, Olatz and Nilsson, Peter and Overvad, Kim and Palli, Domenico and Panico, Salvatore and Quiros Garcia, Jose Ramon and Rolandsson, Olov and Sacerdote, Carlotta and Sanchez, Maria-Jose and Sahrai, Mohammad Sediq and Sch{\"u}bel, Ruth and Sluijs, Ivonne and Spijkerman, Annemieke M. W. and Tjonneland, Anne and Tong, Tammy Y. N. and Tumino, Rosario and Riboli, Elio and Langenberg, Claudia and Sharp, Stephen J. and Forouhi, Nita G. and Schulze, Matthias Bernd and Wareham, Nicholas J.}, title = {Generalizability of a Diabetes-Associated Country-Specific Exploratory Dietary Pattern Is Feasible Across European Populations}, series = {The Journal of Nutrition}, volume = {149}, journal = {The Journal of Nutrition}, number = {6}, publisher = {Oxford Univ. Press}, address = {Oxford}, issn = {0022-3166}, doi = {10.1093/jn/nxz031}, pages = {1047 -- 1055}, year = {2019}, abstract = {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.}, language = {en} } @article{RothwellMurphyAleksandrovaetal.2020, author = {Rothwell, Joseph A. and Murphy, Neil and Aleksandrova, Krasimira and Schulze, Matthias Bernd and Bešević, Jelena and Kliemann, Nathalie and Jenab, Mazda and Ferrari, Pietro and Achaintre, David and Gicquiau, Audrey and Vozar, B{\´e}atrice and Scalbert, Augustin and Huybrechts, Inge and Freisling, Heinz and Prehn, Cornelia and Adamski, Jerzy and Cross, Amanda J. and Pala, Valeria Maria and Boutron-Ruault, Marie-Christine and Dahm, Christina C. and Overvad, Kim and Gram, Inger Torhild and Sandanger, Torkjel M. and Skeie, Guri and Jakszyn, Paula and Tsilidis, Kostas K. and Hughes, David J. and van Guelpen, Bethany and Bod{\´e}n, Stina and S{\´a}nchez, Maria-Jos{\´e} and Schmidt, Julie A. and Katzke, Verena and K{\"u}hn, Tilman and Colorado-Yohar, Sandra and Tumino, Rosario and Bueno-de-Mesquita, Bas and Vineis, Paolo and Masala, Giovanna and Panico, Salvatore and Eriksen, Anne Kirstine and Tj{\o}nneland, Anne and Aune, Dagfinn and Weiderpass, Elisabete and Severi, Gianluca and Chaj{\`e}s, V{\´e}ronique and Gunter, Marc J.}, title = {Metabolic signatures of healthy lifestyle patterns and colorectal cancer risk in a European cohort}, series = {Clinical gastroenterology and hepatology}, volume = {20}, journal = {Clinical gastroenterology and hepatology}, publisher = {Elsevier}, address = {New York, NY}, issn = {1542-3565}, doi = {10.1016/j.cgh.2020.11.045}, pages = {E1061 -- E1082}, year = {2020}, abstract = {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.}, language = {en} } @article{BotteriPeveriBerstadetal.2022, author = {Botteri, Edoardo and Peveri, Giulia and Berstad, Paula and Bagnardi, Vincenzo and Chen, Sairah L. F. and Sandanger, Torkjel M. and Hoff, Geir and Dahm, Christina C. and Antoniussen, Christian S. and Tjonneland, Anne and Eriksen, Anne Kirstine and Skeie, Guri and Perez-Cornago, Aurora and Huerta, Jose Maria and Jakszyn, Paula and Harlid, Sophia and Sundstroem, Bjoern and Barricarte, Aurelio and Monninkhof, Evelyn M. and Derksen, Jeroen W. G. and Schulze, Matthias Bernd and Bueno-de-Mesquita, Bas and Sanchez, Maria-Jose and Cross, Amanda J. and Tsilidis, Konstantinos K. and De Magistris, Maria Santucci and Kaaks, Rudolf and Katzke, Verena and Rothwell, Joseph A. and Laouali, Nasser and Severi, Gianluca and Amiano, Pilar and Contiero, Paolo and Sacerdote, Carlotta and Goldberg, Marcel and Touvier, Mathilde and Freisling, Heinz and Viallon, Vivian and Weiderpass, Elisabete and Riboli, Elio and Gunter, Marc J. and Jenab, Mazda and Ferrari, Pietro}, title = {Changes in lifestyle and risk of colorectal cancer in the European prospective investigation into cancer and nutrition}, series = {The American journal of gastroenterology : AJG}, volume = {118}, journal = {The American journal of gastroenterology : AJG}, number = {4}, publisher = {Lippincott Williams \& Wilkins}, address = {Philadelphia}, issn = {0002-9270}, doi = {10.14309/ajg.0000000000002065}, pages = {702 -- 711}, year = {2022}, abstract = {INTRODUCTION: We investigated the impact of changes in lifestyle habits on colorectal cancer (CRC) risk in a multicountry European cohort. METHODS: We used baseline and follow-up questionnaire data from the European Prospective Investigation into Cancer cohort to assess changes in lifestyle habits and their associations with CRC development. We calculated a healthy lifestyle index (HLI) score based on smoking status, alcohol consumption, body mass index, and physical activity collected at the 2 time points. HLI ranged from 0 (most unfavorable) to 16 (most favorable). We estimated the association between HLI changes and CRC risk using Cox regression models and reported hazard ratios (HR) with 95\% confidence intervals (CI). RESULTS: Among 295,865 participants, 2,799 CRC cases were observed over a median of 7.8 years. The median time between questionnaires was 5.7 years. Each unit increase in HLI from the baseline to the follow-up assessment was associated with a statistically significant 3\% lower CRC risk. Among participants in the top tertile at baseline (HLI > 11), those in the bottom tertile at follow-up (HLI <= 9) had a higher CRC risk (HR 1.34; 95\% CI 1.02-1.75) than those remaining in the top tertile. Among individuals in the bottom tertile at baseline, those in the top tertile at follow-up had a lower risk (HR 0.77; 95\% CI 0.59-1.00) than those remaining in the bottom tertile. DISCUSSION: Improving adherence to a healthy lifestyle was inversely associated with CRC risk, while worsening adherence was positively associated with CRC risk. These results justify and support recommendations for healthy lifestyle changes and healthy lifestyle maintenance for CRC prevention.}, language = {en} }