@article{ZhengLuanSofianopoulouetal.2020, author = {Zheng, Ju-Sheng and Luan, Jian'an and Sofianopoulou, Eleni and Imamura, Fumiaki and Stewart, Isobel D. and Day, Felix R. and Pietzner, Maik and Wheeler, Eleanor and Lotta, Luca A. and Gundersen, Thomas E. and Amiano, Pilar and Ardanaz, Eva and Chirlaque, Maria-Dolores and Fagherazzi, Guy and Franks, Paul W. and Kaaks, Rudolf and Laouali, Nasser and Mancini, Francesca Romana and Nilsson, Peter M. and Onland-Moret, N. Charlotte and Olsen, Anja and Overvad, Kim and Panico, Salvatore and Palli, Domenico and Ricceri, Fulvio and Rolandsson, Olov and Spijkerman, Annemieke M. W. and Sanchez, Maria-Jose and Schulze, Matthias B. and Sala, Nuria and Sieri, Sabina and Tjonneland, Anne and Tumino, Rosario and van der Schouw, Yvonne T. and Weiderpass, Elisabete and Riboli, Elio and Danesh, John and Butterworth, Adam S. and Sharp, Stephen J. and Langenberg, Claudia and Forouhi, Nita G. and Wareham, Nicholas J.}, title = {Plasma vitamin C and type 2 diabetes}, series = {Diabetes care}, volume = {44}, journal = {Diabetes care}, number = {1}, publisher = {American Diabetes Association}, address = {Alexandria}, issn = {0149-5992}, doi = {10.2337/dc20-1328}, pages = {98 -- 106}, year = {2020}, abstract = {OBJECTIVE: Higher plasma vitamin C levels are associated with lower type 2 diabetes risk, but whether this association is causal is uncertain. To investigate this, we studied the association of genetically predicted plasma vitamin C with type 2 diabetes. RESEARCH DESIGN AND METHODS: We conducted genome-wide association studies of plasma vitamin C among 52,018 individuals of European ancestry to discover novel genetic variants. We performed Mendelian randomization analyses to estimate the association of genetically predicted differences in plasma vitamin C with type 2 diabetes in up to 80,983 case participants and 842,909 noncase participants. We compared this estimate with the observational association between plasma vitamin C and incident type 2 diabetes, including 8,133 case participants and 11,073 noncase participants. RESULTS: We identified 11 genomic regions associated with plasma vitamin C (P < 5 x 10(-8)), with the strongest signal at SLC23A1, and 10 novel genetic loci including SLC23A3, CHPT1, BCAS3, SNRPF, RER1, MAF, GSTA5, RGS14, AKT1, and FADS1. Plasma vitamin C was inversely associated with type 2 diabetes (hazard ratio per SD 0.88; 95\% CI 0.82, 0.94), but there was no association between genetically predicted plasma vitamin C (excluding FADS1 variant due to its apparent pleiotropic effect) and type 2 diabetes (1.03; 95\% CI 0.96, 1.10). CONCLUSIONS: These findings indicate discordance between biochemically measured and genetically predicted plasma vitamin C levels in the association with type 2 diabetes among European populations. The null Mendelian randomization findings provide no strong evidence to suggest the use of vitamin C supplementation for type 2 diabetes prevention.}, language = {en} } @misc{SaberiHosnijehCasabonneNietersetal.2020, author = {Saberi Hosnijeh, Fatemeh and Casabonne, Delphine and Nieters, Alexandra and Solans, Marta and Naudin, Sabine and Ferrari, Pietro and Mckay, James D. and Benavente, Yolanda and Weiderpass, Elisabete and Freisling, Heinz and Severi, Gianluca and Boutron Ruault, Marie-Christine and Besson, Caroline and Agnoli, Claudia and Masala, Giovanna and Sacerdote, Carlotta and Tumino, Rosario and Huerta, Jose Maria and Amiano, Pilar and Rodriguez-Barranco, Miguel and Bonet, Catalina and Barricarte, Aurelio and Christakoudi, Sofia and Knuppel, Anika and Bueno-de-Mesquita, Bas and Schulze, Matthias B. and Kaaks, Rudolf and Canzian, Federico and Spath, Florentin and Jerkeman, Mats and Rylander, Charlotta and Tjonneland, Anne and Olsen, Anja and Borch, Kristin Benjaminsen and Vermeulen, Roel}, title = {Association between anthropometry and lifestyle factors and risk of B-cell lymphoma}, series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, journal = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, number = {9}, issn = {1866-8372}, doi = {10.25932/publishup-57356}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-573562}, pages = {16}, year = {2020}, abstract = {To better understand the role of individual and lifestyle factors in human disease, an exposome-wide association study was performed to investigate within a single-study anthropometry measures and lifestyle factors previously associated with B-cell lymphoma (BCL). Within the European Prospective Investigation into Cancer and nutrition study, 2402 incident BCL cases were diagnosed from 475 426 participants that were followed-up on average 14 years. Standard and penalized Cox regression models as well as principal component analysis (PCA) were used to evaluate 84 exposures in relation to BCL risk. Standard and penalized Cox regression models showed a positive association between anthropometric measures and BCL and multiple myeloma/plasma cell neoplasm (MM). The penalized Cox models additionally showed the association between several exposures from categories of physical activity, smoking status, medical history, socioeconomic position, diet and BCL and/or the subtypes. PCAs confirmed the individual associations but also showed additional observations. The PC5 including anthropometry, was positively associated with BCL, diffuse large B-cell lymphoma (DLBCL) and MM. There was a significant positive association between consumption of sugar and confectionary (PC11) and follicular lymphoma risk, and an inverse association between fish and shellfish and Vitamin D (PC15) and DLBCL risk. The PC1 including features of the Mediterranean diet and diet with lower inflammatory score showed an inverse association with BCL risk, while the PC7, including dairy, was positively associated with BCL and DLBCL risk. Physical activity (PC10) was positively associated with DLBCL risk among women. This study provided informative insights on the etiology of BCL.}, language = {en} } @article{SaberiHosnijehCasabonneNietersetal.2020, author = {Saberi Hosnijeh, Fatemeh and Casabonne, Delphine and Nieters, Alexandra and Solans, Marta and Naudin, Sabine and Ferrari, Pietro and Mckay, James D. and Benavente, Yolanda and Weiderpass, Elisabete and Freisling, Heinz and Severi, Gianluca and Boutron Ruault, Marie-Christine and Besson, Caroline and Agnoli, Claudia and Masala, Giovanna and Sacerdote, Carlotta and Tumino, Rosario and Huerta, Jose Maria and Amiano, Pilar and Rodriguez-Barranco, Miguel and Bonet, Catalina and Barricarte, Aurelio and Christakoudi, Sofia and Knuppel, Anika and Bueno-de-Mesquita, Bas and Schulze, Matthias B. and Kaaks, Rudolf and Canzian, Federico and Spath, Florentin and Jerkeman, Mats and Rylander, Charlotta and Tjonneland, Anne and Olsen, Anja and Borch, Kristin Benjaminsen and Vermeulen, Roel}, title = {Association between anthropometry and lifestyle factors and risk of B-cell lymphoma}, series = {International journal of cancer}, volume = {148}, journal = {International journal of cancer}, number = {9}, publisher = {Wiley}, address = {Hoboken}, issn = {0020-7136}, doi = {10.1002/ijc.33369}, pages = {2115 -- 2128}, year = {2020}, abstract = {To better understand the role of individual and lifestyle factors in human disease, an exposome-wide association study was performed to investigate within a single-study anthropometry measures and lifestyle factors previously associated with B-cell lymphoma (BCL). Within the European Prospective Investigation into Cancer and nutrition study, 2402 incident BCL cases were diagnosed from 475 426 participants that were followed-up on average 14 years. Standard and penalized Cox regression models as well as principal component analysis (PCA) were used to evaluate 84 exposures in relation to BCL risk. Standard and penalized Cox regression models showed a positive association between anthropometric measures and BCL and multiple myeloma/plasma cell neoplasm (MM). The penalized Cox models additionally showed the association between several exposures from categories of physical activity, smoking status, medical history, socioeconomic position, diet and BCL and/or the subtypes. PCAs confirmed the individual associations but also showed additional observations. The PC5 including anthropometry, was positively associated with BCL, diffuse large B-cell lymphoma (DLBCL) and MM. There was a significant positive association between consumption of sugar and confectionary (PC11) and follicular lymphoma risk, and an inverse association between fish and shellfish and Vitamin D (PC15) and DLBCL risk. The PC1 including features of the Mediterranean diet and diet with lower inflammatory score showed an inverse association with BCL risk, while the PC7, including dairy, was positively associated with BCL and DLBCL risk. Physical activity (PC10) was positively associated with DLBCL risk among women. This study provided informative insights on the etiology of BCL.}, language = {en} } @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 B. 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{HarmsScalbertZamoraRosetal.2019, author = {Harms, Laura M. and Scalbert, Augustin and Zamora-Ros, Raul and Rinaldi, Sabina and Jenab, Mazda and Murphy, Neil and Achaintre, David and Tj{\o}nneland, Anne and Olsen, Anja and Overvad, Kim and Aleksandrova, Krasimira}, title = {Plasma polyphenols associated with lower high-sensitivity C-reactive protein concentrations}, series = {British Journal of Nutrition}, volume = {123}, journal = {British Journal of Nutrition}, number = {2}, publisher = {Cambridge University Press}, address = {Cambridge}, issn = {0007-1145}, doi = {10.1017/S0007114519002538}, pages = {198 -- 208}, year = {2019}, abstract = {Experimental studies have reported on the anti-inflammatory properties of polyphenols. However, results from epidemiological investigations have been inconsistent and especially studies using biomarkers for assessment of polyphenol intake have been scant. We aimed to characterise the association between plasma concentrations of thirty-five polyphenol compounds and low-grade systemic inflammation state as measured by high-sensitivity C-reactive protein (hsCRP). A cross-sectional data analysis was performed based on 315 participants in the European Prospective Investigation into Cancer and Nutrition cohort with available measurements of plasma polyphenols and hsCRP. In logistic regression analysis, the OR and 95 \% CI of elevated serum hsCRP (>3 mg/l) were calculated within quartiles and per standard deviation higher level of plasma polyphenol concentrations. In a multivariable-adjusted model, the sum of plasma concentrations of all polyphenols measured (per standard deviation) was associated with 29 (95 \% CI 50, 1) \% lower odds of elevated hsCRP. In the class of flavonoids, daidzein was inversely associated with elevated hsCRP (OR 0 center dot 66, 95 \% CI 0 center dot 46, 0 center dot 96). Among phenolic acids, statistically significant associations were observed for 3,5-dihydroxyphenylpropionic acid (OR 0 center dot 58, 95 \% CI 0 center dot 39, 0 center dot 86), 3,4-dihydroxyphenylpropionic acid (OR 0 center dot 63, 95 \% CI 0 center dot 46, 0 center dot 87), ferulic acid (OR 0 center dot 65, 95 \% CI 0 center dot 44, 0 center dot 96) and caffeic acid (OR 0 center dot 69, 95 \% CI 0 center dot 51, 0 center dot 93). The odds of elevated hsCRP were significantly reduced for hydroxytyrosol (OR 0 center dot 67, 95 \% CI 0 center dot 48, 0 center dot 93). The present study showed that polyphenol biomarkers are associated with lower odds of elevated hsCRP. Whether diet rich in bioactive polyphenol compounds could be an effective strategy to prevent or modulate deleterious health effects of inflammation should be addressed by further well-powered longitudinal studies.}, language = {en} } @misc{HarmsScalbertZamoraRosetal.2020, author = {Harms, Laura M. and Scalbert, Augustin and Zamora-Ros, Raul and Rinaldi, Sabina and Jenab, Mazda and Murphy, Neil and Achaintre, David and Tj{\o}nneland, Anne and Olsen, Anja and Overvad, Kim and Aleksandrova, Krasimira}, title = {Plasma polyphenols associated with lower high-sensitivity C-reactive protein concentrations}, series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, journal = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, number = {2}, issn = {1866-8372}, doi = {10.25932/publishup-51577}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-515774}, pages = {13}, year = {2020}, abstract = {Experimental studies have reported on the anti-inflammatory properties of polyphenols. However, results from epidemiological investigations have been inconsistent and especially studies using biomarkers for assessment of polyphenol intake have been scant. We aimed to characterise the association between plasma concentrations of thirty-five polyphenol compounds and low-grade systemic inflammation state as measured by high-sensitivity C-reactive protein (hsCRP). A cross-sectional data analysis was performed based on 315 participants in the European Prospective Investigation into Cancer and Nutrition cohort with available measurements of plasma polyphenols and hsCRP. In logistic regression analysis, the OR and 95 \% CI of elevated serum hsCRP (>3 mg/l) were calculated within quartiles and per standard deviation higher level of plasma polyphenol concentrations. In a multivariable-adjusted model, the sum of plasma concentrations of all polyphenols measured (per standard deviation) was associated with 29 (95 \% CI 50, 1) \% lower odds of elevated hsCRP. In the class of flavonoids, daidzein was inversely associated with elevated hsCRP (OR 0 center dot 66, 95 \% CI 0 center dot 46, 0 center dot 96). Among phenolic acids, statistically significant associations were observed for 3,5-dihydroxyphenylpropionic acid (OR 0 center dot 58, 95 \% CI 0 center dot 39, 0 center dot 86), 3,4-dihydroxyphenylpropionic acid (OR 0 center dot 63, 95 \% CI 0 center dot 46, 0 center dot 87), ferulic acid (OR 0 center dot 65, 95 \% CI 0 center dot 44, 0 center dot 96) and caffeic acid (OR 0 center dot 69, 95 \% CI 0 center dot 51, 0 center dot 93). The odds of elevated hsCRP were significantly reduced for hydroxytyrosol (OR 0 center dot 67, 95 \% CI 0 center dot 48, 0 center dot 93). The present study showed that polyphenol biomarkers are associated with lower odds of elevated hsCRP. Whether diet rich in bioactive polyphenol compounds could be an effective strategy to prevent or modulate deleterious health effects of inflammation should be addressed by further well-powered longitudinal studies.}, language = {en} }