The relationship between body size and prostate cancer risk, and in particular risk by tumour characteristics, is not clear because most studies have not differentiated between high-grade or advanced stage tumours, but rather have assessed risk with a combined category of aggressive disease. We investigated the association of height and adiposity with incidence of and death from prostate cancer in 141,896 men in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort.
Zheng, Ju-Sheng; Sharp, Stephen J; Imamura, Fumiaki; Koulman, Albert; Schulze, Matthias B; Ye, Zheng; Griffin, Jules; Guevara, Marcela; Huerta, José María; Kröger, Janine; Sluijs, Ivonne; Agudo, Antonio; Barricarte, Aurelio; Boeing, Heiner; Colorado-Yohar, Sandra; Dow, Courtney; Dorronsoro, Miren; Dinesen, Pia T; Fagherazzi, Guy; Franks, Paul W; Feskens, Edith J M; Kühn, Tilman; Katzke, Verena Andrea; Key, Timothy J; Khaw, Kay-Tee; de Magistris, Maria Santucci; Mancini, Francesca Romana; Molina-Portillo, Elena; Nilsson, Peter M; Olsen, Anja; Overvad, Kim; Palli, Domenico; Quirós, Jose Ramón; Rolandsson, Olov; Ricceri, Fulvio; Spijkerman, Annemieke M W; Slimani, Nadia; Tagliabue, Giovanna; Tjonneland, Anne; Tumino, Rosario; van der Schouw, Yvonne T; Langenberg, Claudia; Riboli, Elio; Forouhi, Nita G; Wareham, Nicholas J(2017-11-17)
Accumulating evidence suggests that individual circulating saturated fatty acids (SFAs) are heterogeneous in their associations with cardio-metabolic diseases, but evidence about associations of SFAs with metabolic markers of different pathogenic pathways is limited. We aimed to examine the associations between plasma phospholipid SFAs and the metabolic markers of lipid, hepatic, glycaemic and inflammation pathways.
Li, Sherly X; Imamura, Fumiaki; Schulze, Matthias B; Zheng, Jusheng; Ye, Zheng; Agudo, Antonio; Ardanaz, Eva; Aune, Dagfinn; Boeing, Heiner; Dorronsoro, Miren; Dow, Courtney; Fagherazzi, Guy; Grioni, Sara; Gunter, Marc J; Huerta, José María; Ibsen, Daniel B; Jakobsen, Marianne Uhre; Kaaks, Rudolf; Key, Timothy J; Khaw, Kay-Tee; Kyrø, Cecilie; Mancini, Francesca Romana; Molina-Portillo, Elena; Murphy, Neil; Nilsson, Peter M; Onland-Moret, N Charlotte; Palli, Domenico; Panico, Salvatore; Poveda, Alaitz; Quirós, J Ramón; Ricceri, Fulvio; Sluijs, Ivonne; Spijkerman, Annemieke M W; Tjonneland, Anne; Tumino, Rosario; Winkvist, Anna; Langenberg, Claudia; Sharp, Stephen J; Riboli, Elio; Scott, Robert A; Forouhi, Nita G; Wareham, Nicholas J(2018-03-17)
Gene-macronutrient interactions may contribute to the development of type 2 diabetes but research evidence to date is inconclusive. We aimed to increase our understanding of the aetiology of type 2 diabetes by investigating potential interactions between genes and macronutrient intake and their association with the incidence of type 2 diabetes.
Metabolomics is now widely used to characterize metabolic phenotypes associated with lifestyle risk factors such as obesity. The objective of the present study was to explore the associations of body mass index (BMI) with 145 metabolites measured in blood samples in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Metabolites were measured in blood from 392 men from the Oxford (UK) cohort (EPIC-Oxford) and in 327 control subjects who were part of a nested case-control study on hepatobiliary carcinomas (EPIC-Hepatobiliary). Measured metabolites included amino acids, acylcarnitines, hexoses, biogenic amines, phosphatidylcholines, and sphingomyelins. Linear regression models controlled for potential confounders and multiple testing were run to evaluate the associations of metabolite concentrations with BMI. 40 and 45 individual metabolites showed significant differences according to BMI variations, in the EPIC-Oxford and EPIC-Hepatobiliary subcohorts, respectively. Twenty two individual metabolites (kynurenine, one sphingomyelin, glutamate and 19 phosphatidylcholines) were associated with BMI in both subcohorts. The present findings provide additional knowledge on blood metabolic signatures of BMI in European adults, which may help identify mechanisms mediating the relationship of BMI with obesity-related diseases.
Imamura, Fumiaki; Sharp, Stephen J; Koulman, Albert; Schulze, Matthias B; Kröger, Janine; Griffin, Julian L; Huerta, José M; Guevara, Marcela; Sluijs, Ivonne; Agudo, Antonio; Ardanaz, Eva; Balkau, Beverley; Boeing, Heiner; Chajes, Veronique; Dahm, Christina C; Dow, Courtney; Fagherazzi, Guy; Feskens, Edith J M; Franks, Paul W; Gavrila, Diana; Gunter, Marc; Kaaks, Rudolf; Key, Timothy J; Khaw, Kay-Tee; Kühn, Tilman; Melander, Olle; Molina-Portillo, Elena; Nilsson, Peter M; Olsen, Anja; Overvad, Kim; Palli, Domenico; Panico, Salvatore; Rolandsson, Olov; Sieri, Sabina; Sacerdote, Carlotta; Slimani, Nadia; Spijkerman, Annemieke M W; Tjønneland, Anne; Tumino, Rosario; van der Schouw, Yvonne T; Langenberg, Claudia; Riboli, Elio; Forouhi, Nita G; Wareham, Nick J(2017-10)
Combinations of multiple fatty acids may influence cardiometabolic risk more than single fatty acids. The association of a combination of fatty acids with incident type 2 diabetes (T2D) has not been evaluated.
Identifying the metabolites associated with alcohol consumption may provide insights into the metabolic pathways through which alcohol may affect human health. We studied associations of alcohol consumption with circulating concentrations of 123 metabolites among 2974 healthy participants from the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Alcohol consumption at recruitment was self-reported through dietary questionnaires. Metabolite concentrations were measured by tandem mass spectrometry (BIOCRATES AbsoluteIDQTM p180 kit). Data were randomly divided into discovery (2/3) and replication (1/3) sets. Multivariable linear regression models were used to evaluate confounder-adjusted associations of alcohol consumption with metabolite concentrations. Metabolites significantly related to alcohol intake in the discovery set (FDR q-value < 0.05) were further tested in the replication set (Bonferroni-corrected p-value < 0.05). Of the 72 metabolites significantly related to alcohol intake in the discovery set, 34 were also significant in the replication analysis, including three acylcarnitines, the amino acid citrulline, four lysophosphatidylcholines, 13 diacylphosphatidylcholines, seven acyl-alkylphosphatidylcholines, and six sphingomyelins. Our results confirmed earlier findings that alcohol consumption was associated with several lipid metabolites, and possibly also with specific acylcarnitines and amino acids. This provides further leads for future research studies aiming at elucidating the mechanisms underlying the effects of alcohol in relation to morbid conditions.
Helping consumers make healthier food choices is a key issue for the prevention of cancer and other diseases. In many countries, political authorities are considering the implementation of a simplified labelling system to reflect the nutritional quality of food products. The Nutri-Score, a five-colour nutrition label, is derived from the Nutrient Profiling System of the British Food Standards Agency (modified version) (FSAm-NPS). How the consumption of foods with high/low FSAm-NPS relates to cancer risk has been studied in national/regional cohorts but has not been characterized in diverse European populations.
Wood, Angela M; Kaptoge, Stephen; Butterworth, Adam S; Willeit, Peter; Warnakula, Samantha; Bolton, Thomas; Paige, Ellie; Paul, Dirk S; Sweeting, Michael; Burgess, Stephen; Bell, Steven; Astle, William; Stevens, David; Koulman, Albert; Selmer, Randi M; Verschuren, W M Monique; Sato, Shinichi; Njølstad, Inger; Woodward, Mark; Salomaa, Veikko; Nordestgaard, Børge G; Yeap, Bu B; Fletcher, Astrid; Melander, Olle; Kuller, Lewis H; Balkau, Beverley; Marmot, Michael; Koenig, Wolfgang; Casiglia, Edoardo; Cooper, Cyrus; Arndt, Volker; Franco, Oscar H; Wennberg, Patrik; Gallacher, John; de la Cámara, Agustín Gómez; Völzke, Henry; Dahm, Christina C; Dale, Caroline E; Bergmann, Manuela M; Crespo, Carlos J; van der Schouw, Yvonne T; Kaaks, Rudolf; Simons, Leon A; Lagiou, Pagona; Schoufour, Josje D; Boer, Jolanda M A; Key, Timothy J; Rodriguez, Beatriz; Moreno-Iribas, Conchi; Davidson, Karina W; Taylor, James O; Sacerdote, Carlotta; Wallace, Robert B; Quiros, J Ramon; Tumino, Rosario; Blazer, Dan G; Linneberg, Allan; Daimon, Makoto; Panico, Salvatore; Howard, Barbara; Skeie, Guri; Strandberg, Timo; Weiderpass, Elisabete; Nietert, Paul J; Psaty, Bruce M; Kromhout, Daan; Salamanca-Fernandez, Elena; Kiechl, Stefan; Krumholz, Harlan M; Grioni, Sara; Palli, Domenico; Huerta, José M; Price, Jackie; Sundström, Johan; Arriola, Larraitz; Arima, Hisatomi; Travis, Ruth C; Panagiotakos, Demosthenes B; Karakatsani, Anna; Trichopoulou, Antonia; Kühn, Tilman; Grobbee, Diederick E; Barrett-Connor, Elizabeth; van Schoor, Natasja; Boeing, Heiner; Overvad, Kim; Kauhanen, Jussi; Wareham, Nick; Langenberg, Claudia; Forouhi, Nita; Wennberg, Maria; Després, Jean-Pierre; Cushman, Mary; Cooper, Jackie A; Rodriguez, Carlos J; Sakurai, Masaru; Shaw, Jonathan E; Knuiman, Matthew; Voortman, Trudy; Meisinger, Christa; Tjønneland, Anne; Brenner, Hermann; Palmieri, Luigi; Dallongeville, Jean; Brunner, Eric J; Assmann, Gerd; Trevisan, Maurizio; Gillum, Richard F; Ford, Ian; Sattar, Naveed; Lazo, Mariana; Thompson, Simon G; Ferrari, Pietro; Leon, David A; Smith, George Davey; Peto, Richard; Jackson, Rod; Banks, Emily; Di Angelantonio, Emanuele; Danesh, John(2018)
Low-risk limits recommended for alcohol consumption vary substantially across different national guidelines. To define thresholds associated with lowest risk for all-cause mortality and cardiovascular disease, we studied individual-participant data from 599 912 current drinkers without previous cardiovascular disease.
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