@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 Bernd 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} } @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} }