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156. Self consistent measurement and removal of the dipolar interaction field in magnetic particle assemblies and the determination of their intrinsic switching field distribution.

Author

Martínez Huerta, J. M., De La Torre Medina, J., Piraux, L., and Encinas, A.

Subjects
*NANOWIRES, *NANOSTRUCTURED materials, *MAGNETIZATION, *PARTICLES, *POLARITY (Physics)
Abstract

Using low density arrays of bistable magnetic nanowires as a model dipolar system, it is shown that the dipolar interaction field coefficient can be measured from the remanence curves as well as from other functions of the isothermal remanent magnetization and the DC demagnetization remanence obtained as an affine transformation of the Wohlfarth relation. Based on mean field arguments, these measurements are used to subtract and remove the contribution of the configuration dependent dipolar interaction field from the major loop and remanence curves. The corrected remanence curves are first used to obtain the intrinsic switching field distribution of the nanowire array and then to validate this approach showing that they yield results consistent with the Wohlfarth relation for an assembly of noninteracting particles, thus providing a self-consistent procedure to verify the measured values of the interaction field and its removal from the measurements. [ABSTRACT FROM AUTHOR]

Published
2012
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157. Alcohol consumption and risk of urothelial cell bladder cancer in the European prospective investigation into cancer and nutrition cohort

Author

Botteri, E., Ferrari, P., Roswall, N., Tjonneland, A., Hjartaker, A., Huerta, J. M., Fortner, R. T., Trichopoulou, A., Karakatsani, A., La Vecchia, C., Pala, V., Perez-Cornago, A., Sonestedt, E., Liedberg, F., Overvad, K., Sanchez, M. J., Gram, I. T., Stepien, M., Trijsburg, L., Ljungberg, Börje, Johansson, M., Kuehn, T., Panico, S., Tumino, R., Bueno-de-Mesquita, H. B., Weiderpass, E., Botteri, E., Ferrari, P., Roswall, N., Tjonneland, A., Hjartaker, A., Huerta, J. M., Fortner, R. T., Trichopoulou, A., Karakatsani, A., La Vecchia, C., Pala, V., Perez-Cornago, A., Sonestedt, E., Liedberg, F., Overvad, K., Sanchez, M. J., Gram, I. T., Stepien, M., Trijsburg, L., Ljungberg, Börje, Johansson, M., Kuehn, T., Panico, S., Tumino, R., Bueno-de-Mesquita, H. B., and Weiderpass, E.

Abstract

Findings on the association between alcohol consumption and bladder cancer are inconsistent. We investigated that association in the European Prospective Investigation into Cancer and Nutrition cohort. We included 476,160 individuals mostly aged 35-70 years, enrolled in ten countries and followed for 13.9 years on average. Hazard ratios (HR) for developing urothelial cell carcinoma (UCC; 1,802 incident cases) were calculated using Cox proportional hazards models. Alcohol consumption at baseline and over the life course was analyzed, as well as different types of beverages (beer, wine, spirits). Baseline alcohol intake was associated with a statistically nonsignificant increased risk of UCC (HR 1.03; 95% confidence interval (CI) 1.00-1.06 for each additional 12 g/day). HR in smokers was 1.04 (95% CI 1.01-1.07). Men reporting high baseline intakes of alcohol (>96 g/day) had an increased risk of UCC (HR 1.57; 95% CI 1.03-2.40) compared to those reporting moderate intakes (<6 g/day), but no dose-response relationship emerged. In men, an increased risk of aggressive forms of UCC was observed even at lower doses (>6 to 24 g/day). Average lifelong alcohol intake was not associated with the risk of UCC, however intakes of spirits>24 g/day were associated with an increased risk of UCC in men (1.38; 95% CI 1.01-1.91) and smokers (1.39; 95% CI 1.01-1.92), compared to moderate intakes. We found no association between alcohol and UCC in women and never smokers. In conclusion, we observed some associations between alcohol and UCC in men and in smokers, possibly because of residual confounding by tobacco smoking.

Published
2017
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158. Endometrial cancer risk prediction including serum-based biomarkers: results from the EPIC cohort

Author

Fortner, RT, Huesing, A, Kuehn, T, Konar, M, Overvad, K, Tjonneland, A, Hansen, L, Boutron-Ruault, M-C, Severi, G, Fournier, A, Boeing, H, Trichopoulou, A, Benetou, V, Orfanos, P, Masala, G, Agnoli, C, Mattiello, A, Tumino, R, Sacerdote, C, Bueno-de-Mesquita, HBA, Peeters, PHM, Weiderpass, E, Gram, IT, Gavrilyuk, O, Ramon Quiros, J, Maria Huerta, J, Ardanaz, E, Larranaga, N, Lujan-Barroso, L, Sanchez-Cantalejo, E, Butt, ST, Borgquist, S, Idahl, A, Lundin, E, Khaw, K-T, Allen, NE, Rinaldi, S, Dossus, L, Gunter, M, Merritt, MA, Tzoulaki, I, Riboli, E, Kaaks, R, Fortner, RT, Huesing, A, Kuehn, T, Konar, M, Overvad, K, Tjonneland, A, Hansen, L, Boutron-Ruault, M-C, Severi, G, Fournier, A, Boeing, H, Trichopoulou, A, Benetou, V, Orfanos, P, Masala, G, Agnoli, C, Mattiello, A, Tumino, R, Sacerdote, C, Bueno-de-Mesquita, HBA, Peeters, PHM, Weiderpass, E, Gram, IT, Gavrilyuk, O, Ramon Quiros, J, Maria Huerta, J, Ardanaz, E, Larranaga, N, Lujan-Barroso, L, Sanchez-Cantalejo, E, Butt, ST, Borgquist, S, Idahl, A, Lundin, E, Khaw, K-T, Allen, NE, Rinaldi, S, Dossus, L, Gunter, M, Merritt, MA, Tzoulaki, I, Riboli, E, and Kaaks, R

Abstract

Endometrial cancer risk prediction models including lifestyle, anthropometric and reproductive factors have limited discrimination. Adding biomarker data to these models may improve predictive capacity; to our knowledge, this has not been investigated for endometrial cancer. Using a nested case-control study within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort, we investigated the improvement in discrimination gained by adding serum biomarker concentrations to risk estimates derived from an existing risk prediction model based on epidemiologic factors. Serum concentrations of sex steroid hormones, metabolic markers, growth factors, adipokines and cytokines were evaluated in a step-wise backward selection process; biomarkers were retained at p < 0.157 indicating improvement in the Akaike information criterion (AIC). Improvement in discrimination was assessed using the C-statistic for all biomarkers alone, and change in C-statistic from addition of biomarkers to preexisting absolute risk estimates. We used internal validation with bootstrapping (1000-fold) to adjust for over-fitting. Adiponectin, estrone, interleukin-1 receptor antagonist, tumor necrosis factor-alpha and triglycerides were selected into the model. After accounting for over-fitting, discrimination was improved by 2.0 percentage points when all evaluated biomarkers were included and 1.7 percentage points in the model including the selected biomarkers. Models including etiologic markers on independent pathways and genetic markers may further improve discrimination.

Published
2017

159. Worldwide trends in blood pressure from 1975 to 2015:a pooled analysis of 1479 population-based measurement studies with 19.1 million participants

Author

Zhou, B. (Bin), Bentham, J. (James), Di Cesare, M. (Mariachiara), Bixby, H. (Honor), Danaei, G. (Goodarz), Cowan, M. J. (Melanie J.), Paciorek, C. J. (Christopher J.), Singh, G. (Gitanjali), Hajifathalian, K. (Kaveh), Bennett, J. E. (James E.), Taddei, C. (Cristina), Bilano, V. (Ver), Carrillo-Larco, R. M. (Rodrigo M.), Djalalinia, S. (Shirin), Khatibzadeh, S. (Shahab), Lugero, C. (Charles), Peykari, N. (Niloofar), Zhang, W. Z. (Wan Zhu), Lu, Y. (Yuan), Stevens, G. A. (Gretchen A.), Riley, L. M. (Leanne M.), Bovet, P. (Pascal), Elliott, P. (Paul), Gu, D. (Dongfeng), Ikeda, N. (Nayu), Jackson, R. T. (Rod T.), Joffres, M. (Michel), Kengne, A. P. (Andre Pascal), Laatikainen, T. (Tiina), Lam, T. H. (Tai Hing), Laxmaiah, A. (Avula), Liu, J. (Jing), Miranda, J. J. (J. Jaime), Mondo, C. K. (Charles K.), Neuhauser, H. K. (Hannelore K.), Sundstrom, J. (Johan), Smeeth, L. (Liam), Soric, M. (Maroje), Woodward, M. (Mark), Ezzati, M. (Majid), Abarca-Gomez, L. (Leandra), Abdeen, Z. A. (Ziad A.), Rahim, H. A. (Hanan Abdul), Abu-Rmeileh, N. M. (Niveen M.), Acosta-Cazares, B. (Benjamin), Adams, R. (Robert), Aekplakorn, W. (Wichai), Afsana, K. (Kaosar), Aguilar-Salinas, C. A. (Carlos A.), Agyemang, C. (Charles), Ahmadvand, A. (Alireza), Ahrens, W. (Wolfgang), Al Raddadi, R. (Rajaa), Al Woyatan, R. (Rihab), Ali, M. M. (Mohamed M.), Alkerwi, A. (Ala'a), Aly, E. (Eman), Amouyel, P. (Philippe), Amuzu, A. (Antoinette), Andersen, L. B. (Lars Bo), Anderssen, S. A. (Sigmund A.), Angquist, L. (Lars), Anjana, R. M. (Ranjit Mohan), Ansong, D. (Daniel), Aounallah-Skhiri, H. (Hajer), Araujo, J. (Joana), Ariansen, I. (Inger), Aris, T. (Tahir), Arlappa, N. (Nimmathota), Aryal, K. (Krishna), Arveiler, D. (Dominique), Assah, F. K. (Felix K.), Assuncao, M. C. (Maria Cecilia F.), Avdicova, M. (Maria), Azevedo, A. (Ana), Azizi, F. (Fereidoun), Babu, B. V. (Bontha V.), Bahijri, S. (Suhad), Balakrishna, N. (Nagalla), Bandosz, P. (Piotr), Banegas, J. R. (Jose R.), Barbagallo, C. M. (Carlo M.), Barcelo, A. (Alberto), Barkat, A. (Amina), Barros, A. J. (Aluisio J. D.), Barros, M. V. (Mauro V.), Bata, I. (Iqbal), Batieha, A. M. (Anwar M.), Baur, L. A. (Louise A.), Beaglehole, R. (Robert), Ben Romdhane, H. (Habiba), Benet, M. (Mikhail), Benson, L. S. (Lowell S.), Bernabe-Ortiz, A. (Antonio), Bernotiene, G. (Gailute), Bettiol, H. (Heloisa), Bhagyalaxmi, A. (Aroor), Bharadwaj, S. (Sumit), Bhargava, S. K. (Santosh K.), Bi, Y. (Yufang), Bikbov, M. (Mukharram), Bjerregaard, P. (Peter), Bjertness, E. (Espen), Bjokelund, C. (Cecilia), Blokstra, A. (Anneke), Bo, S. (Simona), Bobak, M. (Martin), Boeing, H. (Heiner), Boggia, J. G. (Jose G.), Boissonnet, C. P. (Carlos P.), Bongard, V. (Vanina), Braeckman, L. (Lutgart), Brajkovich, I. (Imperia), Branca, F. (Francesco), Breckenkamp, J. (Juergen), Brenner, H. (Hermann), Brewster, L. M. (Lizzy M.), Bruno, G. (Graziella), Bueno-de-Mesquita, H. B. (H. B. (as)), Bugge, A. (Anna), Burns, C. (Con), Bursztyn, M. (Michael), de Leon, A. C. (Antonio Cabrera), Cameron, C. (Christine), Can, G. (Gunay), Candido, A. P. (Ana Paula C.), Capuano, V. (Vincenzo), Cardoso, V. C. (Viviane C.), Carlsson, A. C. (Axel C.), Carvalho, M. J. (Maria J.), Casanueva, F. F. (Felipe F.), Casas, J.-P. (Juan-Pablo), Caserta, C. A. (Carmelo A.), Chamukuttan, S. (Snehalatha), Chan, A. W. (Angelique W.), Chan, Q. (Queenie), Chaturvedi, H. K. (Himanshu K.), Chaturvedi, N. (Nishi), Chen, C.-J. (Chien-Jen), Chen, F. (Fangfang), Chen, H. (Huashuai), Chen, S. (Shuohua), Chen, Z. (Zhengming), Cheng, C.-Y. (Ching-Yu), Dekkaki, I. C. (Imane Cherkaoui), Chetrit, A. (Angela), Chiolero, A. (Arnaud), Chiou, S.-T. (Shu-Ti), Chirita-Emandi, A. (Adela), Cho, B. (Belong), Cho, Y. (Yumi), Chudek, J. (Jerzy), Cifkova, R. (Renata), Claessens, F. (Frank), Clays, E. (Els), Concin, H. (Hans), Cooper, C. (Cyrus), Cooper, R. (Rachel), Coppinger, T. C. (Tara C.), Costanzo, S. (Simona), Cottel, D. (Dominique), Cowell, C. (Chris), Craig, C. L. (Cora L.), Crujeiras, A. B. (Ana B.), Cruz, J. J. (Juan J.), D'Arrigo, G. (Graziella), d'Orsi, E. (Eleonora), Dallongeville, J. (Jean), Damasceno, A. (Albertino), Dankner, R. (Rachel), Dantoft, T. M. (Thomas M.), Dauchet, L. (Luc), De Backer, G. (Guy), de Gaetano, G. (Giovanni), De Henauw, S. (Stefaan), De Smedt, D. (Delphine), Deepa, M. (Mohan), Dehghan, A. (Abbas), Delisle, H. (Helene), Deschamps, V. (Valerie), Dhana, K. (Klodian), Di Castelnuovo, A. F. (Augusto F.), Dias-da-Costa, J. S. (Juvenal Soares), Diaz, A. (Alejandro), Dickerson, T. T. (Ty T.), Do, H. T. (Ha T. P.), Dobson, A. J. (Annette J.), Donfrancesco, C. (Chiara), Donoso, S. P. (Silvana P.), Doering, A. (Angela), Doua, K. (Kouamelan), Drygas, W. (Wojciech), Dulskiene, V. (Virginija), Dzakula, A. (Aleksandar), Dzerve, V. (Vilnis), Dziankowska-Zaborszczyk, E. (Elzbieta), Eggertsen, R. (Robert), Ekelund, U. (Ulf), El Ati, J. (Jalila), Ellert, U. (Ute), Elosua, R. (Roberto), Erasmus, R. T. (Rajiv T.), Erem, C. (Cihangir), Eriksen, L. (Louise), Escobedo-de la Pena, J. (Jorge), Evans, A. (Alun), Faeh, D. (David), Fall, C. H. (Caroline H.), Farzadfar, F. (Farshad), Felix-Redondo, F. J. (Francisco J.), Ferguson, T. S. (Trevor S.), Fernandez-Berges, D. (Daniel), Ferrante, D. (Daniel), Ferrari, M. (Marika), Ferreccio, C. (Catterina), Ferrieres, J. (Jean), Finn, J. D. (Joseph D.), Fischer, K. (Krista), Foeger, B. (Bernhard), Foo, L. H. (Leng Huat), Forslund, A.-S. (Ann-Sofie), Forsner, M. (Maria), Fortmann, S. P. (Stephen P.), Fouad, H. M. (Heba M.), Francis, D. K. (Damian K.), Franco, M. d. (Maria do Carmo), Franco, O. H. (Oscar H.), Frontera, G. (Guillermo), Fuchs, F. D. (Flavio D.), Fuchs, S. C. (Sandra C.), Fujita, Y. (Yuki), Furusawa, T. (Takuro), Gaciong, Z. (Zbigniew), Gareta, D. (Dickman), Garnett, S. P. (Sarah P.), Gaspoz, J.-M. (Jean-Michel), Gasull, M. (Magda), Gates, L. (Louise), Gavrila, D. (Diana), Geleijnse, J. M. (Johanna M.), Ghasemian, A. (Anoosheh), Ghimire, A. (Anup), Giampaoli, S. (Simona), Gianfagna, F. (Francesco), Giovannelli, J. (Jonathan), Goldsmith, R. A. (Rebecca A.), Goncalves, H. (Helen), Gonzalez Gross, M. (Marcela), Gonzalez Rivas, J. P. (Juan P.), Gottrand, F. (Frederic), Graff-Iversen, S. (Sidsel), Grafnetter, D. (Dusan), Grajda, A. (Aneta), Gregor, R. D. (Ronald D.), Grodzicki, T. (Tomasz), Grontved, A. (Anders), Gruden, G. (Grabriella), Grujic, V. (Vera), Guan, O. P. (Ong Peng), Gudnason, V. (Vilmundur), Guerrero, R. (Ramiro), Guessous, I. (Idris), Guimaraes, A. L. (Andre L.), Gulliford, M. C. (Martin C.), Gunnlaugsdottir, J. (Johanna), Gunter, M. (Marc), Gupta, P. C. (Prakash C.), Gureje, O. (Oye), Gurzkowska, B. (Beata), Gutierrez, L. (Laura), Gutzwiller, F. (Felix), Hadaegh, F. (Farzad), Halkjaer, J. (Jytte), Hambleton, I. R. (Ian R.), Hardy, R. (Rebecca), Harikumar, R. (Rachakulla), Hata, J. (Jun), Hayes, A. J. (Alison J.), He, J. (Jiang), Hendriks, M. E. (Marleen Elisabeth), Henriques, A. (Ana), Hernandez Cadena, L. (Leticia), . (), Herrala, S. (Sauli), Heshmat, R. (Ramin), Hihtaniemi, I. T. (Ilpo Tapani), Ho, S. Y. (Sai Yin), Ho, S. C. (Suzanne C.), Hobbs, M. (Michael), Hofman, A. (Albert), Dinc, G. H. (Gonul Horasan), Hormiga, C. M. (Claudia M.), Horta, B. L. (Bernardo L.), Houti, L. (Leila), Howitt, C. (Christina), Htay, T. T. (Thein Thein), Htet, A. S. (Aung Soe), Hu, Y. (Yonghua), Maria Huerta, J. (Jose), Husseini, A. S. (Abdullatif S.), Huybrechts, I. (Inge), Hwalla, N. (Nahla), Iacoviello, L. (Licia), Iannone, A. G. (Anna G.), Ibrahim, M. M. (M. Mohsen), Ikram, M. A. (M. Arfan), Irazola, V. E. (Vilma E.), Islam, M. (Muhammad), Ivkovic, V. (Vanja), Iwasaki, M. (Masanori), Jacobs, J. M. (Jeremy M.), Jafar, T. (Tazeen), Jamrozik, K. (Konrad), Janszky, I. (Imre), Jasienska, G. (Grazyna), Jelakovic, B. (Bojan), Jiang, C. Q. (Chao Qiang), Johansson, M. (Mattias), Jonas, J. B. (Jost B.), Jorgensen, T. (Torben), Joshi, P. (Pradeep), Juolevi, A. (Anne), Jurak, G. (Gregor), Juresa, V. (Vesna), Kaaks, R. (Rudolf), Kafatos, A. (Anthony), Kalter-Leibovici, O. (Ofra), Kamaruddin, N. A. (Nor Azmi), Kasaeian, A. (Amir), Katz, J. (Joanne), Kauhanen, J. (Jussi), Kaur, P. (Prabhdeep), Kavousi, M. (Maryam), Kazakbaeva, G. (Gyulli), Keil, U. (Ulrich), Boker, L. K. (Lital Keinan), Keinanen-Kiukaanniemi, S. (Sirkka), Kelishadi, R. (Roya), Kemper, H. C. (Han C. G.), Kersting, M. (Mathilde), Key, T. (Timothy), Khader, Y. S. (Yousef Saleh), Khalili, D. (Davood), Khang, Y.-H. (Young-Ho), Khaw, K.-T. (Kay-Tee), Kiechl, S. (Stefan), Killewo, J. (Japhet), Kim, J. (Jeongseon), Klumbiene, J. (Jurate), Kolle, E. (Elin), Kolsteren, P. (Patrick), Korrovits, P. (Paul), Koskinen, S. (Seppo), Kouda, K. (Katsuyasu), Koziel, S. (Slawomir), Kristensen, P. L. (Peter Lund), Krokstad, S. (Steinar), Kromhout, D. (Daan), Kruger, H. S. (Herculina S.), Kubinova, R. (Ruzena), Kuciene, R. (Renata), Kuh, D. (Diana), Kujala, U. M. (Urho M.), Kula, K. (Krzysztof), Kulaga, Z. (Zbigniew), Kumar, R. K. (R. Krishna), Kurjata, P. (Pawel), Kusuma, Y. S. (Yadlapalli S.), Kuulasmaa, K. (Kari), Kyobutungi, C. (Catherine), Lachat, C. (Carl), Landrove, O. (Orlando), Lanska, V. (Vera), Lappas, G. (Georg), Larijani, B. (Bagher), Laugsand, L. E. (Lars E.), Le, T. D. (Tuyen D.), Leclercq, C. (Catherine), Lee, J. (Jeannette), Lee, J. (Jeonghee), Lehtimaki, T. (Terho), Lekhraj, R. (Rampal), Leon-Munoz, L. M. (Luz M.), Levitt, N. S. (Naomi S.), Li, Y. (Yanping), Lilly, C. L. (Christa L.), Lim, W.-Y. (Wei-Yen), Fernanda Lima-Costa, M. (M.), Lin, H.-H. (Hsien-Ho), Lin, X. (Xu), Linneberg, A. (Allan), Lissner, L. (Lauren), Litwin, M. (Mieczyslaw), Lorbeer, R. (Roberto), Lotufo, P. A. (Paulo A.), Eugenio Lozano, J. (Jose), Luksiene, D. (Dalia), Lundqvist, A. (Annamari), Lunet, N. (Nuno), Lytsy, P. (Per), Ma, G. (Guansheng), Ma, J. (Jun), Machado-Coelho, G. L. (George L. L.), Machi, S. (Suka), Maggi, S. (Stefania), Magliano, D. J. (Dianna J.), Majer, M. (Marjeta), Makdisse, M. (Marcia), Malekzadeh, R. (Reza), Malhotra, R. (Rahul), Rao, K. M. (Kodavanti Mallikharjuna), Malyutina, S. (Sofia), Manios, Y. (Yannis), Mann, J. I. (Jim I.), Manzato, E. (Enzo), Margozzini, P. (Paula), Marques-Vidal, P. (Pedro), Marrugat, J. (Jaume), Martorell, R. (Reynaldo), Mathiesen, E. B. (Ellisiv B.), Matijasevich, A. (Alicia), Matsha, T. E. (Tandi E.), Mbanya, J. C. (Jean Claude N.), Posso, A. J. (Anselmo J. Mc Donald), McFarlane, S. R. (Shelly R.), McGarvey, S. T. (Stephen T.), McLachlan, S. (Stela), McLean, R. M. (Rachael M.), McNulty, B. A. (Breige A.), Khir, A. S. (Amir Sharifuddin Md), Mediene-Benchekor, S. (Sounnia), Medzioniene, J. (Jurate), Meirhaeghe, A. (Aline), Meisinger, C. (Christa), Menezes, A. M. (Ana Maria B.), Menon, G. R. (Geetha R.), Meshram, I. I. (Indrapal I.), Metspalu, A. (Andres), Mi, J. (Jie), Mikkel, K. (Kairit), Miller, J. C. (Jody C.), Francisco Miquel, J. (Juan), Jaime Miranda, J. (J.), Misigoj-Durakovic, M. (Marjeta), Mohamed, M. K. (Mostafa K.), Mohammad, K. (Kazem), Mohammadifard, N. (Noushin), Mohan, V. (Viswanathan), Yusoff, M. F. (Muhammad Fadhli Mohd), Moller, N. C. (Niels C.), Molnar, D. (Denes), Momenan, A. (Amirabbas), Monyeki, K. D. (Kotsedi Daniel K.), Moreira, L. B. (Leila B.), Morejon, A. (Alain), Moreno, L. A. (Luis A.), Morgan, K. (Karen), Moschonis, G. (George), Mossakowska, M. (Malgorzata), Mostafa, A. (Aya), Mota, J. (Jorge), Motlagh, M. E. (Mohammad Esmaeel), Motta, J. (Jorge), Muiesan, M. L. (Maria L.), Mueller-Nurasyid, M. (Martina), Murphy, N. (Neil), Mursu, J. (Jaakko), Musil, V. (Vera), Nagel, G. (Gabriele), Naidu, B. M. (Balkish M.), Nakamura, H. (Harunobu), Namsna, J. (Jana), Nang, E. E. (Ei Ei K.), Nangia, V. B. (Vinay B.), Narake, S. (Sameer), Maria Navarrete-Munoz, E. (Eva), Ndiaye, N. C. (Ndeye Coumba), Neal, W. A. (William A.), Nenko, I. (Ilona), Nervi, F. (Flavio), Nguyen, N. D. (Nguyen D.), Nieto-Martinez, R. E. (Ramfis E.), Niiranen, T. J. (Teemu J.), Ning, G. (Guang), Ninomiya, T. (Toshiharu), Nishtar, S. (Sania), Noale, M. (Marianna), Noboa, O. A. (Oscar A.), Noorbala, A. A. (Ahmad Ali), Norat, T. (Teresa), Noto, D. (Davide), Al Nsour, M. (Mohannad), O'Reilly, D. (Dermot), Oh, K. (Kyungwon), Olinto, M. T. (Maria Teresa A.), Oliveira, I. O. (Isabel O.), Omar, M. A. (Mohd Azahadi), Onat, A. (Altan), Ordunez, P. (Pedro), Osmond, C. (Clive), Ostojic, S. M. (Sergej M.), Otero, J. A. (Johanna A.), Overvad, K. (Kim), Owusu-Dabo, E. (Ellis), Paccaud, F. M. (Fred Michel), Padez, C. (Cristina), Pahomova, E. (Elena), Pajak, A. (Andrzej), Palli, D. (Domenico), Palmieri, L. (Luigi), Panda-Jonas, S. (Songhomitra), Panza, F. (Francesco), Papandreou, D. (Dimitrios), Parnell, W. R. (Winsome R.), Parsaeian, M. (Mahboubeh), Pecin, I. (Ivan), Pednekar, M. S. (Mangesh S.), Peer, N. (Nasheeta), Peeters, P. H. (Petra H.), Peixoto, S. V. (Sergio Viana), Pelletier, C. (Catherine), Peltonen, M. (Markku), Pereira, A. C. (Alexandre C.), Marina Perez, R. (Rosa), Peters, A. (Annette), Petkeviciene, J. (Janina), Pigeot, I. (Iris), Pikhart, H. (Hynek), Pilav, A. (Aida), Pilotto, L. (Lorenza), Pitakaka, F. (Freda), Plans-Rubio, P. (Pedro), Polakowska, M. (Maria), Polasek, O. (Ozren), Porta, M. (Miquel), Portegies, M. L. (Marileen L. P.), Pourshams, A. (Akram), Pradeepa, R. (Rajendra), Prashant, M. (Mathur), Price, J. F. (Jacqueline F.), Puiu, M. (Maria), Punab, M. (Margus), Qasrawi, R. F. (Radwan F.), Qorbani, M. (Mostafa), Radic, I. (Ivana), Radisauskas, R. (Ricardas), Rahman, M. (Mahfuzar), Raitakari, O. (Olli), Raj, M. (Manu), Rao, S. R. (Sudha Ramachandra), Ramos, E. (Elisabete), Rampal, S. (Sanjay), Rangel Reina, D. A. (Daniel A.), Rasmussen, F. (Finn), Redon, J. (Josep), Reganit, P. F. (Paul Ferdinand M.), Ribeiro, R. (Robespierre), Riboli, E. (Elio), Rigo, F. (Fernando), de Wit, T. F. (Tobias F. Rinke), Ritti-Dias, R. M. (Raphael M.), Robinson, S. M. (Sian M.), Robitaille, C. (Cynthia), Rodriguez-Artalejo, F. (Fernando), Rodriguez-Villamizar, L. A. (Laura A.), Rojas-Martinez, R. (Rosalba), Rosengren, A. (Annika), Rubinstein, A. (Adolfo), Rui, O. (Ornelas), Sandra Ruiz-Betancourt, B. (Blanca), Russo Horimoto, A. R. (Andrea R. V.), Rutkowski, M. (Marcin), Sabanayagam, C. (Charumathi), Sachdev, H. S. (Harshpal S.), Saidi, O. (Olfa), Sakarya, S. (Sibel), Salanave, B. (Benoit), Salazar Martinez, E. (Eduardo), Salmeron, D. (Diego), Salomaa, V. (Veikko), Salonen, J. T. (Jukka T.), Salvetti, M. (Massimo), Sanchez-Abanto, J. (Jose), Sans, S. (Susana), Santos, D. (Diana), Santos, I. S. (Ina S.), dos Santos, R. N. (Renata Nunes), Santos, R. (Rute), Saramies, J. L. (Jouko L.), Sardinha, L. B. (Luis B.), Margolis, G. S. (Giselle Sarganas), Sarrafzadegan, N. (Nizal), Saum, K.-U. (Kai-Uwe), Savva, S. C. (Savvas C.), Scazufca, M. (Marcia), Schargrodsky, H. (Herman), Schneider, I. J. (Ione J.), Schultsz, C. (Constance), Schutte, A. E. (Aletta E.), Sen, A. (Abhijit), Senbanjo, I. O. (Idowu O.), Sepanlou, S. G. (Sadaf G.), Sharma, S. K. (Sanjib K.), Shaw, J. E. (Jonathan E.), Shibuya, K. (Kenji), Shin, D. W. (Dong Wook), Shin, Y. (Youchan), Siantar, R. (Rosalynn), Sibai, A. M. (Abla M.), Santos Silva, D. A. (Diego Augusto), Simon, M. (Mary), Simons, J. (Judith), Simons, L. A. (Leon A.), Sjotrom, M. (Michael), Skovbjerg, S. (Sine), Slowikowska-Hilczer, J. (Jolanta), Slusarczyk, P. (Przemyslaw), Smith, M. C. (Margaret C.), Snijder, M. B. (Marieke B.), So, H.-K. (Hung-Kwan), Sobngwi, E. (Eugene), Soderberg, S. (Stefan), Solfrizzi, V. (Vincenzo), Sonestedt, E. (Emily), Song, Y. (Yi), Sorensen, T. I. (Thorkild I. A.), Jerome, C. S. (Charles Sossa), Soumare, A. (Aicha), Staessen, J. A. (Jan A.), Starc, G. (Gregor), Stathopoulou, M. G. (Maria G.), Stavreski, B. (Bill), Steene-Johannessen, J. (Jostein), Stehle, P. (Peter), Stein, A. D. (Aryeh D.), Stergiou, G. S. (George S.), Stessman, J. (Jochanan), Stieber, J. (Jutta), Stoeckl, D. (Doris), Stocks, T. (Tanja), Stokwiszewski, J. (Jakub), Stronks, K. (Karien), Strufaldi, M. W. (Maria Wany), Sun, C.-A. (Chien-An), Sung, Y.-T. (Yn-Tz), Suriyawongpaisal, P. (Paibul), Sy, R. G. (Rody G.), Tai, E. S. (E. Shyong), Tammesoo, M.-L. (Mari-Liis), Tamosiunas, A. (Abdonas), Tang, L. (Line), Tang, X. (Xun), Tanser, F. (Frank), Tao, Y. (Yong), Tarawneh, M. R. (Mohammed Rasoul), Tarqui-Mamani, C. B. (Carolina B.), Taylor, A. (Anne), Theobald, H. (Holger), Thijs, L. (Lutgarde), Thuesen, B. H. (Betina H.), Tjonneland, A. (Anne), Tolonen, H. K. (Hanna K.), Topbas, M. (Murat), Topor-Madry, R. (Roman), Jose Tormo, M. (Maria), Torrent, M. (Maties), Traissac, P. (Pierre), Trichopoulos, D. (Dimitrios), Trichopoulou, A. (Antonia), Trinh, O. T. (Oanh T. H.), Trivedi, A. (Atul), Tshepo, L. (Lechaba), Tulloch-Reid, M. K. (Marshall K.), Tuomainen, T.-P. (Tomi-Pekka), Turley, M. L. (Maria L.), Tynelius, P. (Per), Tzourio, C. (Christophe), Ueda, P. (Peter), Ugel, E. (Eunice), Ulmer, H. (Hanno), Uusitalo, H. M. (Hannu M. T.), Valdivia, G. (Gonzalo), Valvi, D. (Damaskini), van der Schouw, Y. T. (Yvonne T.), Van Herck, K. (Koen), van Rossem, L. (Lenie), van Valkengoed, I. G. (Irene G. M.), Vanderschueren, D. (Dirk), Vanuzzo, D. (Diego), Vatten, L. (Lars), Vega, T. (Tomas), Velasquez-Melendez, G. (Gustavo), Veronesi, G. (Giovanni), Verschuren, W. M. (W. M. Monique), Verstraeten, R. (Roosmarijn), Victora, C. G. (Cesar G.), Viet, L. (Lucie), Viikari-Juntura, E. (Eira), Vineis, P. (Paolo), Vioque, J. (Jesus), Virtanen, J. K. (Jyrki K.), Visvikis-Siest, S. (Sophie), Viswanathan, B. (Bharathi), Vollenweider, P. (Peter), Vrdoljak, A. (Ana), Vrijheid, M. (Martine), Wade, A. N. (Alisha N.), Wagner, A. (Aline), Walton, J. (Janette), Mohamud, W. N. (Wan Nazaimoon Wan), Wang, M.-D. (Ming-Dong), Wang, Q. (Qian), Wang, Y. X. (Ya Xing), Wannamethee, S. G. (S. Goya), Wareham, N. (Nicholas), Wederkopp, N. (Niels), Weerasekera, D. (Deepa), Whincup, P. H. (Peter H.), Widhalm, K. (Kurt), Widyahening, I. S. (Indah S.), Wiecek, A. (Andrzej), Wijga, A. H. (Alet H.), Wilks, R. J. (Rainford J.), Willeit, P. (Peter), Williams, E. A. (Emmanuel A.), Wilsgaard, T. (Tom), Wojtyniak, B. (Bogdan), Wong, T. Y. (Tien Yin), Wong-McClure, R. A. (Roy A.), Woo, J. (Jean), Wu, A. G. (Aleksander Giwercman), Wu, F. C. (Frederick C.), Wu, S. L. (Shou Ling), Xu, H. (Haiquan), Yan, W. (Weili), Yang, X. (Xiaoguang), Ye, X. (Xingwang), Yiallouros, P. K. (Panayiotis K.), Yoshihara, A. (Akihiro), Younger-Coleman, N. O. (Novie O.), Yusoff, A. F. (Ahmad F.), Zambon, S. (Sabina), Zdrojewski, T. (Tomasz), Zeng, Y. (Yi), Zhao, D. (Dong), Zhao, W. (Wenhua), Zheng, Y. (Yingffeng), Zhu, D. (Dan), Zimmermann, E. (Esther), Zuniga Cisneros, J. (Julio), Zhou, B. (Bin), Bentham, J. (James), Di Cesare, M. (Mariachiara), Bixby, H. (Honor), Danaei, G. (Goodarz), Cowan, M. J. (Melanie J.), Paciorek, C. J. (Christopher J.), Singh, G. (Gitanjali), Hajifathalian, K. (Kaveh), Bennett, J. E. (James E.), Taddei, C. (Cristina), Bilano, V. (Ver), Carrillo-Larco, R. M. (Rodrigo M.), Djalalinia, S. (Shirin), Khatibzadeh, S. (Shahab), Lugero, C. (Charles), Peykari, N. (Niloofar), Zhang, W. Z. (Wan Zhu), Lu, Y. (Yuan), Stevens, G. A. (Gretchen A.), Riley, L. M. (Leanne M.), Bovet, P. (Pascal), Elliott, P. (Paul), Gu, D. (Dongfeng), Ikeda, N. (Nayu), Jackson, R. T. (Rod T.), Joffres, M. (Michel), Kengne, A. P. (Andre Pascal), Laatikainen, T. (Tiina), Lam, T. H. (Tai Hing), Laxmaiah, A. (Avula), Liu, J. (Jing), Miranda, J. J. (J. Jaime), Mondo, C. K. (Charles K.), Neuhauser, H. K. (Hannelore K.), Sundstrom, J. (Johan), Smeeth, L. (Liam), Soric, M. (Maroje), Woodward, M. (Mark), Ezzati, M. (Majid), Abarca-Gomez, L. (Leandra), Abdeen, Z. A. (Ziad A.), Rahim, H. A. (Hanan Abdul), Abu-Rmeileh, N. M. (Niveen M.), Acosta-Cazares, B. (Benjamin), Adams, R. (Robert), Aekplakorn, W. (Wichai), Afsana, K. (Kaosar), Aguilar-Salinas, C. A. (Carlos A.), Agyemang, C. (Charles), Ahmadvand, A. (Alireza), Ahrens, W. (Wolfgang), Al Raddadi, R. (Rajaa), Al Woyatan, R. (Rihab), Ali, M. M. (Mohamed M.), Alkerwi, A. (Ala'a), Aly, E. (Eman), Amouyel, P. (Philippe), Amuzu, A. (Antoinette), Andersen, L. B. (Lars Bo), Anderssen, S. A. (Sigmund A.), Angquist, L. (Lars), Anjana, R. M. (Ranjit Mohan), Ansong, D. (Daniel), Aounallah-Skhiri, H. (Hajer), Araujo, J. (Joana), Ariansen, I. (Inger), Aris, T. (Tahir), Arlappa, N. (Nimmathota), Aryal, K. (Krishna), Arveiler, D. (Dominique), Assah, F. K. (Felix K.), Assuncao, M. C. (Maria Cecilia F.), Avdicova, M. (Maria), Azevedo, A. (Ana), Azizi, F. (Fereidoun), Babu, B. V. (Bontha V.), Bahijri, S. (Suhad), Balakrishna, N. (Nagalla), Bandosz, P. (Piotr), Banegas, J. R. (Jose R.), Barbagallo, C. M. (Carlo M.), Barcelo, A. (Alberto), Barkat, A. (Amina), Barros, A. J. (Aluisio J. D.), Barros, M. V. (Mauro V.), Bata, I. (Iqbal), Batieha, A. M. (Anwar M.), Baur, L. A. (Louise A.), Beaglehole, R. (Robert), Ben Romdhane, H. (Habiba), Benet, M. (Mikhail), Benson, L. S. (Lowell S.), Bernabe-Ortiz, A. (Antonio), Bernotiene, G. (Gailute), Bettiol, H. (Heloisa), Bhagyalaxmi, A. (Aroor), Bharadwaj, S. (Sumit), Bhargava, S. K. (Santosh K.), Bi, Y. (Yufang), Bikbov, M. (Mukharram), Bjerregaard, P. (Peter), Bjertness, E. (Espen), Bjokelund, C. (Cecilia), Blokstra, A. (Anneke), Bo, S. (Simona), Bobak, M. (Martin), Boeing, H. (Heiner), Boggia, J. G. (Jose G.), Boissonnet, C. P. (Carlos P.), Bongard, V. (Vanina), Braeckman, L. (Lutgart), Brajkovich, I. (Imperia), Branca, F. (Francesco), Breckenkamp, J. (Juergen), Brenner, H. (Hermann), Brewster, L. M. (Lizzy M.), Bruno, G. (Graziella), Bueno-de-Mesquita, H. B. (H. B. (as)), Bugge, A. (Anna), Burns, C. (Con), Bursztyn, M. (Michael), de Leon, A. C. (Antonio Cabrera), Cameron, C. (Christine), Can, G. (Gunay), Candido, A. P. (Ana Paula C.), Capuano, V. (Vincenzo), Cardoso, V. C. (Viviane C.), Carlsson, A. C. (Axel C.), Carvalho, M. J. (Maria J.), Casanueva, F. F. (Felipe F.), Casas, J.-P. (Juan-Pablo), Caserta, C. A. (Carmelo A.), Chamukuttan, S. (Snehalatha), Chan, A. W. (Angelique W.), Chan, Q. (Queenie), Chaturvedi, H. K. (Himanshu K.), Chaturvedi, N. (Nishi), Chen, C.-J. (Chien-Jen), Chen, F. (Fangfang), Chen, H. (Huashuai), Chen, S. (Shuohua), Chen, Z. (Zhengming), Cheng, C.-Y. (Ching-Yu), Dekkaki, I. C. (Imane Cherkaoui), Chetrit, A. (Angela), Chiolero, A. (Arnaud), Chiou, S.-T. (Shu-Ti), Chirita-Emandi, A. (Adela), Cho, B. (Belong), Cho, Y. (Yumi), Chudek, J. (Jerzy), Cifkova, R. (Renata), Claessens, F. (Frank), Clays, E. (Els), Concin, H. (Hans), Cooper, C. (Cyrus), Cooper, R. (Rachel), Coppinger, T. C. (Tara C.), Costanzo, S. (Simona), Cottel, D. (Dominique), Cowell, C. (Chris), Craig, C. L. (Cora L.), Crujeiras, A. B. (Ana B.), Cruz, J. J. (Juan J.), D'Arrigo, G. (Graziella), d'Orsi, E. (Eleonora), Dallongeville, J. (Jean), Damasceno, A. (Albertino), Dankner, R. (Rachel), Dantoft, T. M. (Thomas M.), Dauchet, L. (Luc), De Backer, G. (Guy), de Gaetano, G. (Giovanni), De Henauw, S. (Stefaan), De Smedt, D. (Delphine), Deepa, M. (Mohan), Dehghan, A. (Abbas), Delisle, H. (Helene), Deschamps, V. (Valerie), Dhana, K. (Klodian), Di Castelnuovo, A. F. (Augusto F.), Dias-da-Costa, J. S. (Juvenal Soares), Diaz, A. (Alejandro), Dickerson, T. T. (Ty T.), Do, H. T. (Ha T. P.), Dobson, A. J. (Annette J.), Donfrancesco, C. (Chiara), Donoso, S. P. (Silvana P.), Doering, A. (Angela), Doua, K. (Kouamelan), Drygas, W. (Wojciech), Dulskiene, V. (Virginija), Dzakula, A. (Aleksandar), Dzerve, V. (Vilnis), Dziankowska-Zaborszczyk, E. (Elzbieta), Eggertsen, R. (Robert), Ekelund, U. (Ulf), El Ati, J. (Jalila), Ellert, U. (Ute), Elosua, R. (Roberto), Erasmus, R. T. (Rajiv T.), Erem, C. (Cihangir), Eriksen, L. (Louise), Escobedo-de la Pena, J. (Jorge), Evans, A. (Alun), Faeh, D. (David), Fall, C. H. (Caroline H.), Farzadfar, F. (Farshad), Felix-Redondo, F. J. (Francisco J.), Ferguson, T. S. (Trevor S.), Fernandez-Berges, D. (Daniel), Ferrante, D. (Daniel), Ferrari, M. (Marika), Ferreccio, C. (Catterina), Ferrieres, J. (Jean), Finn, J. D. (Joseph D.), Fischer, K. (Krista), Foeger, B. (Bernhard), Foo, L. H. (Leng Huat), Forslund, A.-S. (Ann-Sofie), Forsner, M. (Maria), Fortmann, S. P. (Stephen P.), Fouad, H. M. (Heba M.), Francis, D. K. (Damian K.), Franco, M. d. (Maria do Carmo), Franco, O. H. (Oscar H.), Frontera, G. (Guillermo), Fuchs, F. D. (Flavio D.), Fuchs, S. C. (Sandra C.), Fujita, Y. (Yuki), Furusawa, T. (Takuro), Gaciong, Z. (Zbigniew), Gareta, D. (Dickman), Garnett, S. P. (Sarah P.), Gaspoz, J.-M. (Jean-Michel), Gasull, M. (Magda), Gates, L. (Louise), Gavrila, D. (Diana), Geleijnse, J. M. (Johanna M.), Ghasemian, A. (Anoosheh), Ghimire, A. (Anup), Giampaoli, S. (Simona), Gianfagna, F. (Francesco), Giovannelli, J. (Jonathan), Goldsmith, R. A. (Rebecca A.), Goncalves, H. (Helen), Gonzalez Gross, M. (Marcela), Gonzalez Rivas, J. P. (Juan P.), Gottrand, F. (Frederic), Graff-Iversen, S. (Sidsel), Grafnetter, D. (Dusan), Grajda, A. (Aneta), Gregor, R. D. (Ronald D.), Grodzicki, T. (Tomasz), Grontved, A. (Anders), Gruden, G. (Grabriella), Grujic, V. (Vera), Guan, O. P. (Ong Peng), Gudnason, V. (Vilmundur), Guerrero, R. (Ramiro), Guessous, I. (Idris), Guimaraes, A. L. (Andre L.), Gulliford, M. C. (Martin C.), Gunnlaugsdottir, J. (Johanna), Gunter, M. (Marc), Gupta, P. C. (Prakash C.), Gureje, O. (Oye), Gurzkowska, B. (Beata), Gutierrez, L. (Laura), Gutzwiller, F. (Felix), Hadaegh, F. (Farzad), Halkjaer, J. (Jytte), Hambleton, I. R. (Ian R.), Hardy, R. (Rebecca), Harikumar, R. (Rachakulla), Hata, J. (Jun), Hayes, A. J. (Alison J.), He, J. (Jiang), Hendriks, M. E. (Marleen Elisabeth), Henriques, A. (Ana), Hernandez Cadena, L. (Leticia), . (), Herrala, S. (Sauli), Heshmat, R. (Ramin), Hihtaniemi, I. T. (Ilpo Tapani), Ho, S. Y. (Sai Yin), Ho, S. C. (Suzanne C.), Hobbs, M. (Michael), Hofman, A. (Albert), Dinc, G. H. (Gonul Horasan), Hormiga, C. M. (Claudia M.), Horta, B. L. (Bernardo L.), Houti, L. (Leila), Howitt, C. (Christina), Htay, T. T. (Thein Thein), Htet, A. S. (Aung Soe), Hu, Y. (Yonghua), Maria Huerta, J. (Jose), Husseini, A. S. (Abdullatif S.), Huybrechts, I. (Inge), Hwalla, N. (Nahla), Iacoviello, L. (Licia), Iannone, A. G. (Anna G.), Ibrahim, M. M. (M. Mohsen), Ikram, M. A. (M. Arfan), Irazola, V. E. (Vilma E.), Islam, M. (Muhammad), Ivkovic, V. (Vanja), Iwasaki, M. (Masanori), Jacobs, J. M. (Jeremy M.), Jafar, T. (Tazeen), Jamrozik, K. (Konrad), Janszky, I. (Imre), Jasienska, G. (Grazyna), Jelakovic, B. (Bojan), Jiang, C. Q. (Chao Qiang), Johansson, M. (Mattias), Jonas, J. B. (Jost B.), Jorgensen, T. (Torben), Joshi, P. (Pradeep), Juolevi, A. (Anne), Jurak, G. (Gregor), Juresa, V. (Vesna), Kaaks, R. (Rudolf), Kafatos, A. (Anthony), Kalter-Leibovici, O. (Ofra), Kamaruddin, N. A. (Nor Azmi), Kasaeian, A. (Amir), Katz, J. (Joanne), Kauhanen, J. (Jussi), Kaur, P. (Prabhdeep), Kavousi, M. (Maryam), Kazakbaeva, G. (Gyulli), Keil, U. (Ulrich), Boker, L. K. (Lital Keinan), Keinanen-Kiukaanniemi, S. (Sirkka), Kelishadi, R. (Roya), Kemper, H. C. (Han C. G.), Kersting, M. (Mathilde), Key, T. (Timothy), Khader, Y. S. (Yousef Saleh), Khalili, D. (Davood), Khang, Y.-H. (Young-Ho), Khaw, K.-T. (Kay-Tee), Kiechl, S. (Stefan), Killewo, J. (Japhet), Kim, J. (Jeongseon), Klumbiene, J. (Jurate), Kolle, E. (Elin), Kolsteren, P. (Patrick), Korrovits, P. (Paul), Koskinen, S. (Seppo), Kouda, K. (Katsuyasu), Koziel, S. (Slawomir), Kristensen, P. L. (Peter Lund), Krokstad, S. (Steinar), Kromhout, D. (Daan), Kruger, H. S. (Herculina S.), Kubinova, R. (Ruzena), Kuciene, R. (Renata), Kuh, D. (Diana), Kujala, U. M. (Urho M.), Kula, K. (Krzysztof), Kulaga, Z. (Zbigniew), Kumar, R. K. (R. Krishna), Kurjata, P. (Pawel), Kusuma, Y. S. (Yadlapalli S.), Kuulasmaa, K. (Kari), Kyobutungi, C. (Catherine), Lachat, C. (Carl), Landrove, O. (Orlando), Lanska, V. (Vera), Lappas, G. (Georg), Larijani, B. (Bagher), Laugsand, L. E. (Lars E.), Le, T. D. (Tuyen D.), Leclercq, C. (Catherine), Lee, J. (Jeannette), Lee, J. (Jeonghee), Lehtimaki, T. (Terho), Lekhraj, R. (Rampal), Leon-Munoz, L. M. (Luz M.), Levitt, N. S. (Naomi S.), Li, Y. (Yanping), Lilly, C. L. (Christa L.), Lim, W.-Y. (Wei-Yen), Fernanda Lima-Costa, M. (M.), Lin, H.-H. (Hsien-Ho), Lin, X. (Xu), Linneberg, A. (Allan), Lissner, L. (Lauren), Litwin, M. (Mieczyslaw), Lorbeer, R. (Roberto), Lotufo, P. A. (Paulo A.), Eugenio Lozano, J. (Jose), Luksiene, D. (Dalia), Lundqvist, A. (Annamari), Lunet, N. (Nuno), Lytsy, P. (Per), Ma, G. (Guansheng), Ma, J. (Jun), Machado-Coelho, G. L. (George L. L.), Machi, S. (Suka), Maggi, S. (Stefania), Magliano, D. J. (Dianna J.), Majer, M. (Marjeta), Makdisse, M. (Marcia), Malekzadeh, R. (Reza), Malhotra, R. (Rahul), Rao, K. M. (Kodavanti Mallikharjuna), Malyutina, S. (Sofia), Manios, Y. (Yannis), Mann, J. I. (Jim I.), Manzato, E. (Enzo), Margozzini, P. (Paula), Marques-Vidal, P. (Pedro), Marrugat, J. (Jaume), Martorell, R. (Reynaldo), Mathiesen, E. B. (Ellisiv B.), Matijasevich, A. (Alicia), Matsha, T. E. (Tandi E.), Mbanya, J. C. (Jean Claude N.), Posso, A. J. (Anselmo J. Mc Donald), McFarlane, S. R. (Shelly R.), McGarvey, S. T. (Stephen T.), McLachlan, S. (Stela), McLean, R. M. (Rachael M.), McNulty, B. A. (Breige A.), Khir, A. S. (Amir Sharifuddin Md), Mediene-Benchekor, S. (Sounnia), Medzioniene, J. (Jurate), Meirhaeghe, A. (Aline), Meisinger, C. (Christa), Menezes, A. M. (Ana Maria B.), Menon, G. R. (Geetha R.), Meshram, I. I. (Indrapal I.), Metspalu, A. (Andres), Mi, J. (Jie), Mikkel, K. (Kairit), Miller, J. C. (Jody C.), Francisco Miquel, J. (Juan), Jaime Miranda, J. (J.), Misigoj-Durakovic, M. (Marjeta), Mohamed, M. K. (Mostafa K.), Mohammad, K. (Kazem), Mohammadifard, N. (Noushin), Mohan, V. (Viswanathan), Yusoff, M. F. (Muhammad Fadhli Mohd), Moller, N. C. (Niels C.), Molnar, D. (Denes), Momenan, A. (Amirabbas), Monyeki, K. D. (Kotsedi Daniel K.), Moreira, L. B. (Leila B.), Morejon, A. (Alain), Moreno, L. A. (Luis A.), Morgan, K. (Karen), Moschonis, G. (George), Mossakowska, M. (Malgorzata), Mostafa, A. (Aya), Mota, J. (Jorge), Motlagh, M. E. (Mohammad Esmaeel), Motta, J. (Jorge), Muiesan, M. L. (Maria L.), Mueller-Nurasyid, M. (Martina), Murphy, N. (Neil), Mursu, J. (Jaakko), Musil, V. (Vera), Nagel, G. (Gabriele), Naidu, B. M. (Balkish M.), Nakamura, H. (Harunobu), Namsna, J. (Jana), Nang, E. E. (Ei Ei K.), Nangia, V. B. (Vinay B.), Narake, S. (Sameer), Maria Navarrete-Munoz, E. (Eva), Ndiaye, N. C. (Ndeye Coumba), Neal, W. A. (William A.), Nenko, I. (Ilona), Nervi, F. (Flavio), Nguyen, N. D. (Nguyen D.), Nieto-Martinez, R. E. (Ramfis E.), Niiranen, T. J. (Teemu J.), Ning, G. (Guang), Ninomiya, T. (Toshiharu), Nishtar, S. (Sania), Noale, M. (Marianna), Noboa, O. A. (Oscar A.), Noorbala, A. A. (Ahmad Ali), Norat, T. (Teresa), Noto, D. (Davide), Al Nsour, M. (Mohannad), O'Reilly, D. (Dermot), Oh, K. (Kyungwon), Olinto, M. T. (Maria Teresa A.), Oliveira, I. O. (Isabel O.), Omar, M. A. (Mohd Azahadi), Onat, A. (Altan), Ordunez, P. (Pedro), Osmond, C. (Clive), Ostojic, S. M. (Sergej M.), Otero, J. A. (Johanna A.), Overvad, K. (Kim), Owusu-Dabo, E. (Ellis), Paccaud, F. M. (Fred Michel), Padez, C. (Cristina), Pahomova, E. (Elena), Pajak, A. (Andrzej), Palli, D. (Domenico), Palmieri, L. (Luigi), Panda-Jonas, S. (Songhomitra), Panza, F. (Francesco), Papandreou, D. (Dimitrios), Parnell, W. R. (Winsome R.), Parsaeian, M. (Mahboubeh), Pecin, I. (Ivan), Pednekar, M. S. (Mangesh S.), Peer, N. (Nasheeta), Peeters, P. H. (Petra H.), Peixoto, S. V. (Sergio Viana), Pelletier, C. (Catherine), Peltonen, M. (Markku), Pereira, A. C. (Alexandre C.), Marina Perez, R. (Rosa), Peters, A. (Annette), Petkeviciene, J. (Janina), Pigeot, I. (Iris), Pikhart, H. (Hynek), Pilav, A. (Aida), Pilotto, L. (Lorenza), Pitakaka, F. (Freda), Plans-Rubio, P. (Pedro), Polakowska, M. (Maria), Polasek, O. (Ozren), Porta, M. (Miquel), Portegies, M. L. (Marileen L. P.), Pourshams, A. (Akram), Pradeepa, R. (Rajendra), Prashant, M. (Mathur), Price, J. F. (Jacqueline F.), Puiu, M. (Maria), Punab, M. (Margus), Qasrawi, R. F. (Radwan F.), Qorbani, M. (Mostafa), Radic, I. (Ivana), Radisauskas, R. (Ricardas), Rahman, M. (Mahfuzar), Raitakari, O. (Olli), Raj, M. (Manu), Rao, S. R. (Sudha Ramachandra), Ramos, E. (Elisabete), Rampal, S. (Sanjay), Rangel Reina, D. A. (Daniel A.), Rasmussen, F. (Finn), Redon, J. (Josep), Reganit, P. F. (Paul Ferdinand M.), Ribeiro, R. (Robespierre), Riboli, E. (Elio), Rigo, F. (Fernando), de Wit, T. F. (Tobias F. Rinke), Ritti-Dias, R. M. (Raphael M.), Robinson, S. M. (Sian M.), Robitaille, C. (Cynthia), Rodriguez-Artalejo, F. (Fernando), Rodriguez-Villamizar, L. A. (Laura A.), Rojas-Martinez, R. (Rosalba), Rosengren, A. (Annika), Rubinstein, A. (Adolfo), Rui, O. (Ornelas), Sandra Ruiz-Betancourt, B. (Blanca), Russo Horimoto, A. R. (Andrea R. V.), Rutkowski, M. (Marcin), Sabanayagam, C. (Charumathi), Sachdev, H. S. (Harshpal S.), Saidi, O. (Olfa), Sakarya, S. (Sibel), Salanave, B. (Benoit), Salazar Martinez, E. (Eduardo), Salmeron, D. (Diego), Salomaa, V. (Veikko), Salonen, J. T. (Jukka T.), Salvetti, M. (Massimo), Sanchez-Abanto, J. (Jose), Sans, S. (Susana), Santos, D. (Diana), Santos, I. S. (Ina S.), dos Santos, R. N. (Renata Nunes), Santos, R. (Rute), Saramies, J. L. (Jouko L.), Sardinha, L. B. (Luis B.), Margolis, G. S. (Giselle Sarganas), Sarrafzadegan, N. (Nizal), Saum, K.-U. (Kai-Uwe), Savva, S. C. (Savvas C.), Scazufca, M. (Marcia), Schargrodsky, H. (Herman), Schneider, I. J. (Ione J.), Schultsz, C. (Constance), Schutte, A. E. (Aletta E.), Sen, A. (Abhijit), Senbanjo, I. O. (Idowu O.), Sepanlou, S. G. (Sadaf G.), Sharma, S. K. (Sanjib K.), Shaw, J. E. (Jonathan E.), Shibuya, K. (Kenji), Shin, D. W. (Dong Wook), Shin, Y. (Youchan), Siantar, R. (Rosalynn), Sibai, A. M. (Abla M.), Santos Silva, D. A. (Diego Augusto), Simon, M. (Mary), Simons, J. (Judith), Simons, L. A. (Leon A.), Sjotrom, M. (Michael), Skovbjerg, S. (Sine), Slowikowska-Hilczer, J. (Jolanta), Slusarczyk, P. (Przemyslaw), Smith, M. C. (Margaret C.), Snijder, M. B. (Marieke B.), So, H.-K. (Hung-Kwan), Sobngwi, E. (Eugene), Soderberg, S. (Stefan), Solfrizzi, V. (Vincenzo), Sonestedt, E. (Emily), Song, Y. (Yi), Sorensen, T. I. (Thorkild I. A.), Jerome, C. S. (Charles Sossa), Soumare, A. (Aicha), Staessen, J. A. (Jan A.), Starc, G. (Gregor), Stathopoulou, M. G. (Maria G.), Stavreski, B. (Bill), Steene-Johannessen, J. (Jostein), Stehle, P. (Peter), Stein, A. D. (Aryeh D.), Stergiou, G. S. (George S.), Stessman, J. (Jochanan), Stieber, J. (Jutta), Stoeckl, D. (Doris), Stocks, T. (Tanja), Stokwiszewski, J. (Jakub), Stronks, K. (Karien), Strufaldi, M. W. (Maria Wany), Sun, C.-A. (Chien-An), Sung, Y.-T. (Yn-Tz), Suriyawongpaisal, P. (Paibul), Sy, R. G. (Rody G.), Tai, E. S. (E. Shyong), Tammesoo, M.-L. (Mari-Liis), Tamosiunas, A. (Abdonas), Tang, L. (Line), Tang, X. (Xun), Tanser, F. (Frank), Tao, Y. (Yong), Tarawneh, M. R. (Mohammed Rasoul), Tarqui-Mamani, C. B. (Carolina B.), Taylor, A. (Anne), Theobald, H. (Holger), Thijs, L. (Lutgarde), Thuesen, B. H. (Betina H.), Tjonneland, A. (Anne), Tolonen, H. K. (Hanna K.), Topbas, M. (Murat), Topor-Madry, R. (Roman), Jose Tormo, M. (Maria), Torrent, M. (Maties), Traissac, P. (Pierre), Trichopoulos, D. (Dimitrios), Trichopoulou, A. (Antonia), Trinh, O. T. (Oanh T. H.), Trivedi, A. (Atul), Tshepo, L. (Lechaba), Tulloch-Reid, M. K. (Marshall K.), Tuomainen, T.-P. (Tomi-Pekka), Turley, M. L. (Maria L.), Tynelius, P. (Per), Tzourio, C. (Christophe), Ueda, P. (Peter), Ugel, E. (Eunice), Ulmer, H. (Hanno), Uusitalo, H. M. (Hannu M. T.), Valdivia, G. (Gonzalo), Valvi, D. (Damaskini), van der Schouw, Y. T. (Yvonne T.), Van Herck, K. (Koen), van Rossem, L. (Lenie), van Valkengoed, I. G. (Irene G. M.), Vanderschueren, D. (Dirk), Vanuzzo, D. (Diego), Vatten, L. (Lars), Vega, T. (Tomas), Velasquez-Melendez, G. (Gustavo), Veronesi, G. (Giovanni), Verschuren, W. M. (W. M. Monique), Verstraeten, R. (Roosmarijn), Victora, C. G. (Cesar G.), Viet, L. (Lucie), Viikari-Juntura, E. (Eira), Vineis, P. (Paolo), Vioque, J. (Jesus), Virtanen, J. K. (Jyrki K.), Visvikis-Siest, S. (Sophie), Viswanathan, B. (Bharathi), Vollenweider, P. (Peter), Vrdoljak, A. (Ana), Vrijheid, M. (Martine), Wade, A. N. (Alisha N.), Wagner, A. (Aline), Walton, J. (Janette), Mohamud, W. N. (Wan Nazaimoon Wan), Wang, M.-D. (Ming-Dong), Wang, Q. (Qian), Wang, Y. X. (Ya Xing), Wannamethee, S. G. (S. Goya), Wareham, N. (Nicholas), Wederkopp, N. (Niels), Weerasekera, D. (Deepa), Whincup, P. H. (Peter H.), Widhalm, K. (Kurt), Widyahening, I. S. (Indah S.), Wiecek, A. (Andrzej), Wijga, A. H. (Alet H.), Wilks, R. J. (Rainford J.), Willeit, P. (Peter), Williams, E. A. (Emmanuel A.), Wilsgaard, T. (Tom), Wojtyniak, B. (Bogdan), Wong, T. Y. (Tien Yin), Wong-McClure, R. A. (Roy A.), Woo, J. (Jean), Wu, A. G. (Aleksander Giwercman), Wu, F. C. (Frederick C.), Wu, S. L. (Shou Ling), Xu, H. (Haiquan), Yan, W. (Weili), Yang, X. (Xiaoguang), Ye, X. (Xingwang), Yiallouros, P. K. (Panayiotis K.), Yoshihara, A. (Akihiro), Younger-Coleman, N. O. (Novie O.), Yusoff, A. F. (Ahmad F.), Zambon, S. (Sabina), Zdrojewski, T. (Tomasz), Zeng, Y. (Yi), Zhao, D. (Dong), Zhao, W. (Wenhua), Zheng, Y. (Yingffeng), Zhu, D. (Dan), Zimmermann, E. (Esther), and Zuniga Cisneros, J. (Julio)

Abstract

Background: Raised blood pressure is an important risk factor for cardiovascular diseases and chronic kidney disease. We estimated worldwide trends in mean systolic and mean diastolic blood pressure, and the prevalence of, and number of people with, raised blood pressure, defined as systolic blood pressure of 140 mm Hg or higher or diastolic blood pressure of 90 mm Hg or higher. Methods: For this analysis, we pooled national, subnational, or community population-based studies that had measured blood pressure in adults aged 18 years and older. We used a Bayesian hierarchical model to estimate trends from 1975 to 2015 in mean systolic and mean diastolic blood pressure, and the prevalence of raised blood pressure for 200 countries. We calculated the contributions of changes in prevalence versus population growth and ageing to the increase in the number of adults with raised blood pressure. Findings: We pooled 1479 studies that had measured the blood pressures of 19.1 million adults. Global age-standardised mean systolic blood pressure in 2015 was 127.0 mm Hg (95% credible interval 125.7–128.3) in men and 122.3 mm Hg (121.0–123.6) in women; age-standardised mean diastolic blood pressure was 78.7 mm Hg (77.9–79.5) for men and 76.7 mm Hg (75.9–77.6) for women. Global age-standardised prevalence of raised blood pressure was 24.1% (21.4–27.1) in men and 20.1% (17.8–22.5) in women in 2015. Mean systolic and mean diastolic blood pressure decreased substantially from 1975 to 2015 in high-income western and Asia Pacific countries, moving these countries from having some of the highest worldwide blood pressure in 1975 to the lowest in 2015. Mean blood pressure also decreased in women in central and eastern Europe, Latin America and the Caribbean, and, more recently, central Asia, Middle East, and north Africa, but the estimated trends in these super-regions had larger uncertainty than in high-income super-regions. By contrast, mean blood pressure might have increased in

Published
2017

162. Método óptimo para la obtención de plasma rico en plaquetas en el Servicio de Clínica del Dolor del CMN 20 de noviembre ISSSTE

Author

Valadez Báez, X. L., Hernández Santos, J. R., Torres Huerta, J. C., Tenopala Villegas, S., and Canseco Aguilar, C. P.

Subjects
Plasma rico en plaquetas, collection methods, Platelet-rich plasma, métodos de obtención
Abstract

Objetivos: Describir el método óptimo para obtener plasma rico en plaquetas (PRP). Material y métodos: Previo consentimiento informado, se obtuvieron de 36 pacientes sanos una muestra sanguínea de 15 ml distribuidos en 5 tubos estériles: uno para obtención de biometría hemática y el resto se sometieron a alguno de los 3 protocolos para obtención de plasma rico en plaquetas. Protocolo 1 (n = 21): 1200 rpm/2 ciclos/8 minutos (cada ciclo); protocolo 2 (n = 8): 1200 rpm/1 ciclo de centrifugado/8 minutos. Protocolo 3 (n = 7): 1200 rpm/1 ciclo de centrifugado/10 minutos. De las muestras obtenidas, se analizó 1 ml de plasma mediante citómetro de flujo automatizado (BD FACSCanto II) y se determinó el rendimiento plaquetario mediante la fórmula: recuento de plaquetas PRP (100)/recuento de plaquetas de sangre total. El método estadístico empleado fue medidas de tendencia central, Chi cuadrado, t de Student, análisis de varianza, prueba de Wilcoxon y probabilidad de Kruskal-Wallis. Resultados: El promedio de concentración basal plaquetaria fue de 261.2 miles/mcl para los 3 métodos (p = 0.906). Después del proceso de centrifugado para protocolo 1 fue 662.3 ± 243.3 (p = 0.001); protocolo 2, 377.9 ± 101.4 (p = 0.008) y 30.9 ± 18.8 (p = 0.016) para el 3. El rendimiento fue: 255.2 ± 57.6 %; 149.3 ± 24.6 %; 13.3 ± 11.6 %, respectivamente. Conclusión: Se logró obtener PRP aplicando el primer protocolo (1200 rpm/2 ciclos/8 minutos cada ciclo). El estudio se realizó en pacientes adultos sanos, sin embargo, se tendrán que realizar estudios posteriores con una mayor población para comprobar la efectividad de este método. En caso de que la obtención plaquetaria en estudios con mayor población sea la adecuada, deberá validarse su utilidad clínica en paciente con enfermedades crónico degenerativas y se tomen en cuenta las enfermedades concomitantes. Objective: To determine the optimal method to collect platelet-rich plasma (PRP). Material and methods: We collected 15 ml of blood from 36 healthy adults to determine platelet count and to test which of the following three protocols were the best to collect PRP. We used 3 ml of blood for each method: protocol 1: (n = 21) the blood tube was tested at 1200 revolutions per minute (RPM) in 2 centrifuge cycles of 8 minutes each; protocol 2 (n = 8): 1200 RPM/1 cycle/8 minutes, and protocol 3: (n = 7): 1200 RPM/1 cycle/10 minutes. From the blood samples that we collected, we also analyzed 1 ml of plasma to determine platelet performance by using an automatic flow cytometer (BD FACSCanto II). Platelet performance was determined by the following formula: platelet PRP count (100)/platelet count from total blood. The statistical method used were measures of central tendency, Chi-square, t-test, analysis of variance and the Wilcoxon and Kruskal-Wallis tests. Results: The basal overall count of platelet was 261.2 miles/mcl for the three methods (p = 0.906), 662.3 ± 243.3 (p = 0.001) for protocol 1; 377.9 ± 101.4 (p = 0.008) for protocol 2 and 30.9 ± 18.8 (p = 0.016) for protocol 3. Platelet performances were 255.2 ± 57.6 %; 149.3 ± 24.6 %; 13.3 ± 11.6 % respectively. Conclusion: Applying the first protocol we obtain PRP (1200 RPM/2 cycles of 8 minutes each). This study was done in healthy adults; however, future studies with a larger sample size are needed to confirm our findings of this method. In case of collecting platelets in studies with greater population being the adequate, its clinical utility should be validated by including patients with chronic and degenerative diseases and take care of associated diseases.

Published
2016

163. Variation at ABO histo-blood group and FUT loci and diffuse and intestinal gastric cancer risk in a European population

Author

Duell, E, Bonet, C, Muñoz, X, Lujan-Barroso, L, Weiderpass, E, Boutron-Ruault, M, Racine, A, Severi, G, Canzian, F, Rizzato, C, Boeing, H, Overvad, K, Tjønneland, A, Argüelles, M, Sánchez-Cantalejo, E, Chamosa, S, Huerta, J, Barricarte, A, Khaw, K, Wareham, N, Travis, R, Trichopoulou, A, Trichopoulos, D, Yiannakouris, N, and Palli, D

Abstract

ABO blood serotype A is known to be associated with risk of gastric cancer (GC), but little is known how ABO alleles and the fucosyltransferase (FUT) enzymes and genes which are involved in Lewis antigen formation [and in Helicobacter pylori (H. pylori) binding and pathogenicity] may be related to GC risk in a European population. The authors conducted an investigation of 32 variants at ABO and FUT1-7 loci and GC risk in a case-control study of 365 cases and 1,284 controls nested within the EPIC cohort (the EPIC-Eurgast study). Four variants (including rs505922) in ABO, and allelic blood group A (AO+AA, odds ratio=1.84, 95%CI=1.20-2.80) were associated with diffuse-type GC; however, conditional models with other ABO variants indicated that the associations were largely due to allelic blood group A. One variant in FUT5 was also associated with diffuse-type GC, and four variants (and haplotypes) in FUT2 (Se), FUT3 (Le) and FUT6 with intestinal-type GC. Further, one variant in ABO, two in FUT3 and two in FUT6 were associated with H. pylori infection status in controls, and two of these (in FUT3 and FUT6) were weakly associated with intestinal-type GC risk. None of the individual variants surpassed a Bonferroni corrected p-value cutoff of 0.0016; however, after a gene-based permutation test, two loci [FUT3(Le)/FUT5/FUT6 and FUT2(Se)] were significantly associated with diffuse- and intestinal-type GC, respectively. Replication and functional studies are therefore recommended to clarify the role of ABO and FUT alleles in H. pylori infection and subtype-specific gastric carcinogenesis.

Published
2016

164. Alcohol consumption and risk of type 2 diabetes in European men and women: Influence of beverage type and body sizeThe EPIC-InterAct study

Author

Beulens, J, van der Schouw, Y, Bergmann, M, Rohrmann, S, Schulze, M, Buijsse, B, Grobbee, D, Arriola, L, Cauchi, S, Tormo, M, Allen, N, van der A, D, Balkau, B, Boeing, H, Clavel-Chapelon, F, de Lauzon-Guillan, B, Franks, P, Froguel, P, Gonzales, C, Halkjaer, J, Huerta, J, Kaaks, R, Key, T, Khaw, K, and Krogh, V

Abstract

Objective: To investigate the association between alcohol consumption and type 2 diabetes, and determine whether this is modified by sex, body mass index (BMI) and beverage type. Design: Multicentre prospective case-cohort study. Setting: Eight countries from the European Prospective Investigation into Cancer and Nutrition cohort. Subjects: A representative baseline sample of 16154 participants and 12403 incident cases of type 2 diabetes. Interventions: Alcohol consumption assessed using validated dietary questionnaires. Main outcome measures: Occurrence of type 2 diabetes based on multiple sources (mainly self-reports), verified against medical information. Results: Amongst men, moderate alcohol consumption was nonsignificantly associated with a lower incidence of diabetes with a hazard ratio (HR) of 0.90 (95% CI: 0.78-1.05) for 6.1-12.0 versus 0.1-6.0gday-1, adjusted for dietary and diabetes risk factors. However, the lowest risk was observed at higher intakes of 24.1-96.0gday-1 with an HR of 0.86 (95% CI: 0.75-0.98). Amongst women, moderate alcohol consumption was associated with a lower incidence of diabetes with a hazard ratio of 0.82 (95% CI: 0.72-0.92) for 6.1-12.0gday-1 (P interaction gender

Published
2016
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165. A prospective study of one-carbon metabolism biomarkers and cancer of the head and neck and esophagus

Author

Fanidi, A, Relton, C, Ueland, P, Midttun, Ø, Vollset, SE, Travis, R, Trichopoulou, A, Lagiou, P, Trichopoulos, D, Bueno-De-Mesquita, H, Ros, M, Boeing, H, Tumino, R, Panico, S, Palli, D, Sieri, S, Vineis, P, Sánchez, M, Huerta, J, Gurrea, AB, Luján-Barroso, L, Quirós, JR, Tjønneland, A, Halkjær, J, and Boutron-Ruault, M

Abstract

Experimental and epidemiological data suggest that factors of one-carbon metabolism are important in the pathogenesis of several cancers, but prospective data on head and neck cancer (HNC) and esophagus cancer are limited. The European Prospective Investigation into Cancer and Nutrition (EPIC) study recruited 385,747 participants from 10 countries who donated a blood sample. The current study included 516 cancer cases of the head and neck and esophagus and 516 individually matched controls. Plasma levels of vitamins B2, B6, B9 (folate), B12, and methionine and homocysteine were measured in pre-diagnostic plasma samples and analyzed in relation to HNC and esophagus cancer risk, as well as post-diagnosis all-cause mortality. After controlling for risk factors, study participants with higher levels of homocysteine had elevated risk of HNC, the odds ratio (OR) in conditional analysis when comparing the top and bottom quartiles of homocysteine [ORQ4 vs. Q1 ] being 2.13 (95% confidence interval [95% CI] 1.13-4.00, p for trend 0.009). A slight decrease in HNC risk was also seen among subjects with higher levels of folate (ORQ4 vs. Q1 0.63, 95% CI 0.35-1.16, p for trend 0.02). Subgroup analyses by anatomical sub-site indicated particularly strong associations with circulating homocysteine for oral cavity and gum cancer (p for trend 8×10(-4)), as well as for oropharynx cancer (p for trend 0.008). Plasma concentrations of the other investigated biomarkers did not display any clear association with risk or survival. In conclusion, study participants with elevated circulating levels of homocysteine had increased risk of developing squamous cell carcinoma of the head and neck.

Published
2016
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167. Genetic association of gastric cancer with miRNA clusters including the cancer-related genes MIR29, MIR25, MIR93 and MIR106: results from the EPIC-EURGAST study

Author

Espinosa-Parrilla, Y, Muñoz, X, Bonet, C, Garcia, N, Venceslá, A, Yiannakouris, N, Naccarati, A, Sieri, S, Panico, S, Huerta, J, Barricarte, A, Menéndez, V, Sánchez-Cantalejo, E, Dorronsoro, M, Brennan, P, Duarte-Salles, T, B As Bueno-de-Mesquita, H, Weiderpass, E, Lund, E, Clavel-Chapelon, F, Boutron-Ruault, M, Racine, A, Numans, M, Tumino, R, and Canzian, F

Abstract

MicroRNAs (miRNAs) are post-transcriptional gene regulators involved in a wide range of biological processes including tumorigenesis. Deregulation of miRNA pathways has been associated with cancer but the contribution of their genetic variability to this disorder is poorly known. We analyzed the genetic association of gastric cancer (GC) and its anatomical and histological subtypes, with 133 single-nucleotide polymorphisms (SNPs) tagging 15 isolated miRNAs and 24 miRNA clusters potentially involved in cancer, in 365 GC cases and 1,284 matched controls within the European Prospective Investigation into Cancer and Nutrition cohort. Various SNPs were associated with GC under the log-additive model. Furthermore, several of these miRNAs passed the gene-based permutation test when analyzed according to GC subtypes: three tagSNPs of the miR-29a/miR-29b-1 cluster were associated with diffuse subtype (minimum p-value = 1.7 × 10(-4) ; odds ratio, OR = 1.72; 95% confidence interval, CI = 1.30-2.28), two tagSNPs of the miR-25/miR-93/miR-106b cluster were associated with cardia GC (minimum p-value = 5.38 × 10(-3) ; OR = 0.56, 95% CI = 0.37-0.86) and one tagSNP of the miR-363/miR-92a-2/miR-19b-2/miR-20b/miR-18b/miR-106a cluster was associated with noncardia GC (minimum p-value = 5.40 × 10(-3) ; OR = 1.41, 95% CI = 1.12-1.78). Some functionally validated target genes of these miRNAs are implicated in cancer-related processes such as methylation (DNMT3A, DNMT3B), cell cycle (E2F1, CDKN1A, CDKN1C), apoptosis (BCL2L11, MCL1), angiogenesis (VEGFA) and progression (PIK3R1, MYCN). Furthermore, we identified genetic interactions between variants tagging these miRNAs and variants in their validated target genes. Deregulation of the expression of these miRNAs in GC also supports our findings, altogether suggesting for the fist time that genetic variation in MIR29, MIR25, MIR93 and MIR106b may have a critical role in genetic susceptibility to GC and could contribute to the molecular mechanisms of gastric carcinogenesis.

Published
2016
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168. Association of plasma phospholipid n-3 and n-6 polyunsaturated fatty acids with type 2 diabetes: The EPIC-InterAct case-cohort study

Author

Forouhi, N, Imamura, F, Sharp, S, Koulman, A, Schulze, M, Zheng, J, Ye, Z, Sluijs, I, Guevara, M, Huerta, J, Kröger, J, Wang, L, Summerhill, K, Griffin, J, Feskens, E, Affret, A, Amiano, P, Boeing, H, Dow, C, Fagherazzi, G, Franks, P, Gonzalez, C, Kaaks, R, Key, T, Khaw, K, Kühn, T, Mortensen, L, Nilsson, P, Overvad, K, Pala, V, Palli, D, Panico, S, Quirós, J, Rodriguez-Barranco, M, Rolandsson, O, Sacerdote, C, Scalbert, A, Slimani, N, Spijkerman, A, Tjonneland, A, Tormo, M, Tumino, R, van der A, D, van der Schouw, Y, Langenberg, C, Riboli, E, Wareham, N, Forouhi, Nita G, Imamura, Fumiaki, Sharp, Stephen J, Koulman, Albert, Schulze, Matthias B, Zheng, Jusheng, Ye, Zheng, Sluijs, Ivonne, Guevara, Marcela, Huerta, José María, Kröger, Janine, Wang, Laura Yun, Summerhill, Keith, Griffin, Julian L, Feskens, Edith J. M, Affret, Aurélie, Amiano, Pilar, Boeing, Heiner, Dow, Courtney, Fagherazzi, Guy, Franks, Paul W, Gonzalez, Carlo, Kaaks, Rudolf, Key, Timothy J, Khaw, Kay Tee, Kühn, Tilman, Mortensen, Lotte Maxild, Nilsson, Peter M, Overvad, Kim, Pala, Valeria, Palli, Domenico, Panico, Salvatore, Quirós, J. Ramón, Rodriguez Barranco, Miguel, Rolandsson, Olov, Sacerdote, Carlotta, Scalbert, Augustin, Slimani, Nadia, Spijkerman, Annemieke M. W, Tjonneland, Anne, Tormo, Maria Jose, Tumino, Rosario, van der A, Daphne L, van der Schouw, Yvonne T, Langenberg, Claudia, Riboli, Elio, Wareham, Nicholas J., Apollo - University of Cambridge Repository, [Forouhi,NG, Imamura,F, Sharp,SJ, Zheng,J, Ye,Z, Langenberg,C, Wareham,NJ] MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom. [Koulman,A, Wang,LY, Summerhill,K, Griffin,JL] MRC Human Nutrition Research, Cambridge, UK. [Schulze,MB, Kröger,J, Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Germany. [Sluijs,I, van der Schouw,YT] University Medical Center Utrecht, Utrecht, the Netherlands. [Guevara,M] Navarre Public Health Institute (ISPN), Pamplona, Spain. [Guevara,M, Huerta,JM, Amiano,P, Rodriguez-Barranco,M, Tormo,M] CIBER Epidemiología y Salud Pública (CIBERESP), Spain. [Huerta,M, Tormo,M] Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain. [Feskens,EJM] Wageningen University, The Netherlands. [Affret,A, Dow,C, Fagherazzi,G] Inserm, CESP, U1018, Villejuif, France. Univ Paris-Sud, Villejuif, France, Gustave Roussy Institute, Villejuif, France. [Amiano,P] Public Health Division of Gipuzkoa, San Sebastian, Spain. Instituto BIO-Donostia, Basque Government, San Sebastian, Spain. [Boeing,H] German Institute of Human Nutrition Potsdam-Rehbruecke, Germany. [Franks,PW, Nilsson,PM] Lund University, Malmö, Sweden. [Franks,PW, Rolandsson,O] Umeå University, Umeå, Sweden. [Gonzalez,C] Catalan Institute of Oncology (ICO), Barcelona, Spain. [Kaaks,R, Kühn1,T] German Cancer Research Centre (DKFZ), Heidelberg, Germany. [Key1,TJ] University of Oxford, Oxford, United Kingdom. [Khaw,KT] University of Cambridge, Cambridge, United Kingdom. [Mortensen,M] Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark. [Mortensen,M, Overvad,K] Department of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark. [Overvad,K] Aalborg University Hospital, Aalborg, Denmark. [Pala,V] Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy. [Palli,D] Cancer Research and Prevention Institute (ISPO), Florence, Italy. [Panico,S] Dipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy. [Quirós,JR] Public Health Directorate, Asturias, Spain. [Rodriguez-Barranco,M] Escuela Andaluza de Salud Pública. Instituto de Investigación Biosanitaria ibs.GRANADA. Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain. [Sacerdote,C] Unit of Cancer Epidemiology, Citta' della Salute e della Scienza Hospital-University of Turin and Center for Cancer Prevention (CPO), Turin, Italy. Human Genetics Foundation (HuGeF), Turin, Italy. [Scalbert,A, Slimani,N] International Agency for Research on Cancer, Lyon, France. [Spijkerman,AMW, van der A,DL] National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands. [Tjonneland,A] Danish Cancer Society Research Center, Copenhagen, Denmark. [Tormo,MJ] Department of Health and Social Sciences, Universidad de Murcia, Murcia, Spain. [Tumino,R] Cancer Registry and Histopathology Unit, Civic and M.P.Arezzo Hospital, ASP Ragusa, Italy. [Riboli,E] School of Public Health, Imperial College London, London, United Kingdom., Funding for the InterAct project was provided by the EU FP6 programme (grant number LSHM_CT_2006_037197)., Imamura, Fumiaki [0000-0002-6841-8396], Sharp, Stephen J [0000-0003-2375-1440], Koulman, Albert [0000-0001-9998-051X], Sluijs, Ivonne [0000-0001-7758-4911], Guevara, Marcela [0000-0001-9242-6364], Huerta, José María [0000-0002-9637-3869], Rodriguez-Barranco, Miguel [0000-0002-9972-9779], Tormo, Maria-Jose [0000-0003-1474-5233], van der Schouw, Yvonne T [0000-0002-4605-435X], Langenberg, Claudia [0000-0002-5017-7344], and Wareham, Nicholas J [0000-0003-1422-2993]

Subjects
Male, Physiology, Social Sciences, Diabetes Mellitus Tipo 2, Chemicals and Drugs::Lipids::Fatty Acids::Fatty Acids, Unsaturated::Fatty Acids, Omega-6::Linoleic Acids [Medical Subject Headings], Anatomy::Fluids and Secretions::Body Fluids::Blood::Plasma [Medical Subject Headings], Biochemistry, Plasma, Mathematical and Statistical Techniques, Endocrinology, Sociology, Chemicals and Drugs::Lipids::Fatty Acids::Fatty Acids, Unsaturated::Fatty Acids, Omega-3 [Medical Subject Headings], Plant Products, Estudios prospectivos, Medicine and Health Sciences, Fosfolípidos, Ácidos grasos omega 3, Phospholipids, Medicine(all), Schools, Fatty Acids, Geographicals::Geographic Locations::Europe [Medical Subject Headings], food and beverages, Agriculture, Ácido eicosapentaenoico, 11 Medical And Health Sciences, Hematology, Middle Aged, Lipids, Type 2 Diabetes, Body Fluids, Blood, Ácidos Grasos Omega-6, Ácido 8,11,14-eicosanoico, Endokrinologi och diabetes, Physical Sciences, Fatty Acids, Unsaturated, Diseases::Nutritional and Metabolic Diseases::Metabolic Diseases::Glucose Metabolism Disorders::Diabetes Mellitus::Diabetes Mellitus, Type 2 [Medical Subject Headings], Medicine, Dieta, lipids (amino acids, peptides, and proteins), Anatomy, Europa, Statistics (Mathematics), Chemicals and Drugs::Lipids::Fatty Acids::Fatty Acids, Unsaturated::Arachidonic Acids [Medical Subject Headings], Research Article, Cromatografía de gases, Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cohort Studies::Longitudinal Studies::Prospective Studies [Medical Subject Headings], Endocrine Disorders, Chemicals and Drugs::Lipids::Fatty Acids::Fatty Acids, Unsaturated::Eicosanoids::8,11,14-Eicosatrienoic Acid [Medical Subject Headings], Phenomena and Processes::Physiological Phenomena::Nutritional Physiological Phenomena::Diet [Medical Subject Headings], Endocrinology and Diabetes, Research and Analysis Methods, Vegetable Oils, Blood Plasma, Education, Chemicals and Drugs::Lipids::Fatty Acids::Fatty Acids, Unsaturated::Fatty Acids, Omega-3::Docosahexaenoic Acids [Medical Subject Headings], General & Internal Medicine, Fatty Acids, Omega-6, Fatty Acids, Omega-3, Ácidos docosahexaenoicos, Diabetes Mellitus, Journal Article, Humans, Statistical Methods, Chemicals and Drugs::Lipids::Phospholipids [Medical Subject Headings], Ácido araquidónico, Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Chemistry Techniques, Analytical::Chromatography::Chromatography, Gas [Medical Subject Headings], Chemicals and Drugs::Lipids::Fatty Acids::Fatty Acids, Unsaturated::Fatty Acids, Omega-6 [Medical Subject Headings], Chemicals and Drugs::Lipids::Fatty Acids::Fatty Acids, Unsaturated::Fatty Acids, Omega-3::Eicosapentaenoic Acid [Medical Subject Headings], Ácidos Grasos Insaturados, Biology and Life Sciences, Ácido linoleico, Agronomy, Diabetes Mellitus, Type 2, Metabolic Disorders, Case-Control Studies, Oils, Chemicals and Drugs::Lipids::Fatty Acids::Fatty Acids, Unsaturated [Medical Subject Headings], Mathematics, Meta-Analysis, Crop Science
Abstract

Background Whether and how n-3 and n-6 polyunsaturated fatty acids (PUFAs) are related to type 2 diabetes (T2D) is debated. Objectively measured plasma PUFAs can help to clarify these associations. Methods and Findings Plasma phospholipid PUFAs were measured by gas chromatography among 12,132 incident T2D cases and 15,919 subcohort participants in the European Prospective Investigation into Cancer and Nutrition (EPIC)-InterAct study across eight European countries. Country-specific hazard ratios (HRs) were estimated using Prentice-weighted Cox regression and pooled by random-effects meta-analysis. We also systematically reviewed published prospective studies on circulating PUFAs and T2D risk and pooled the quantitative evidence for comparison with results from EPIC-InterAct. In EPIC-InterAct, among long-chain n-3 PUFAs, α-linolenic acid (ALA) was inversely associated with T2D (HR per standard deviation [SD] 0.93; 95% CI 0.88–0.98), but eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) were not significantly associated. Among n-6 PUFAs, linoleic acid (LA) (0.80; 95% CI 0.77–0.83) and eicosadienoic acid (EDA) (0.89; 95% CI 0.85–0.94) were inversely related, and arachidonic acid (AA) was not significantly associated, while significant positive associations were observed with γ-linolenic acid (GLA), dihomo-GLA, docosatetraenoic acid (DTA), and docosapentaenoic acid (n6-DPA), with HRs between 1.13 to 1.46 per SD. These findings from EPIC-InterAct were broadly similar to comparative findings from summary estimates from up to nine studies including between 71 to 2,499 T2D cases. Limitations included potential residual confounding and the inability to distinguish between dietary and metabolic influences on plasma phospholipid PUFAs. Conclusions These large-scale findings suggest an important inverse association of circulating plant-origin n-3 PUFA (ALA) but no convincing association of marine-derived n3 PUFAs (EPA and DHA) with T2D. Moreover, they highlight that the most abundant n6-PUFA (LA) is inversely associated with T2D. The detection of associations with previously less well-investigated PUFAs points to the importance of considering individual fatty acids rather than focusing on fatty acid class., Using a large European cohort, Nita Forouhi and colleagues investigate the association between the concentration of polyunsaturated fatty acids measured in plasma and risk of developing type 2 diabetes., Author Summary Why Was This Study Done? Most dietary guidelines recommend the consumption of polyunsaturated fatty acids for cardiovascular health, but it is unclear whether or how n-3 and n-6 types of polyunsaturated fatty acids are related to type 2 diabetes. Health concerns have been raised previously about a diet high in linoleic acid (n-6 fatty acid), but its association with type 2 diabetes is unclear. Major limitations in previous studies have included the error-prone subjective assessment of the habitual consumption of polyunsaturated fatty acids when dietary intakes were evaluated and a small number of type 2 diabetes cases (n = 71 to 673) when objective biomarkers of polyunsaturated fatty acids were measured. What Did the Researchers Do and Find? We measured circulating individual polyunsaturated fatty acids in the blood samples of individuals within a large study from across eight countries of Europe among a reference sample of 15,919 individuals as well as 12,132 individuals who subsequently developed diabetes. Individuals were followed up for an average of approximately 10 y. We investigated the association between individual polyunsaturated fatty acids and the risk of future type 2 diabetes using statistical analyses that accounted for factors that could be potential alternative explanations for any observed associations. We found that higher levels of blood alpha-linolenic acid, a plant-origin n-3 fatty acid, and n-6 linoleic acid, the most abundant type of polyunsaturated fatty acid, were associated with a lower risk of future type 2 diabetes. In contrast, higher levels of four other minor individual n-6 fatty acids were associated with higher type 2 diabetes risk, while the blood marine-origin n-3 fatty acids were not associated with future diabetes. What Do These Findings Mean? Our findings show that it is important to consider individual circulating polyunsaturated fatty acids for association with type 2 diabetes risk, rather than placing emphasis on the class of circulating polyunsaturated fatty acids. We found that blood n-6 linoleic acid, the most abundant polyunsaturated fatty acid, is inversely associated with type 2 diabetes. We found no evidence that blood total n-6 polyunsaturated fatty acids may elevate the risk of type 2 diabetes, but several individual minor blood n-6 polyunsaturated fatty acids were associated with increased type 2 diabetes risk, highlighting the importance of polyunsaturated fatty acid metabolism in the development of type 2 diabetes.

Published
2016
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171. Effectiveness and Safety of Bivalirudin During Percutaneous Coronary Intervention in Acute Coronary Syndrome in the Real World: CARTAGOMAX Study

Author

Mármol-Lozano R, Bonilla-Pacheco Yi, Jaulent-Huertas L, Dau-Villareal Df, Castillo-Moreno Ja, Ruiz-Abellón Mdel C, Abellán-Huerta J, Giner-Caro Ja, Picó-Aracil F, and Cascón-Pérez Jd

Subjects
Male, medicine.medical_specialty, Acute coronary syndrome, medicine.drug_class, medicine.medical_treatment, 030204 cardiovascular system & hematology, Antithrombins, 03 medical and health sciences, 0302 clinical medicine, Percutaneous Coronary Intervention, Internal medicine, Medicine, Bivalirudin, Humans, 030212 general & internal medicine, Longitudinal Studies, Prospective Studies, Acute Coronary Syndrome, Mortality, Prospective cohort study, Stroke, Aged, Pharmacology, Intraoperative Care, business.industry, Incidence (epidemiology), Anticoagulant, Percutaneous coronary intervention, Heparin, Hirudins, Middle Aged, medicine.disease, Peptide Fragments, Recombinant Proteins, Treatment Outcome, Cardiology, Female, Cardiology and Cardiovascular Medicine, business, medicine.drug, Follow-Up Studies
Abstract

The CARTAGOMAX study assessed the safety and efficacy of bivalirudin during real-world cardiac intervention. This was a single-center prospective study. Patients with acute coronary syndrome undergoing percutaneous coronary intervention were anticoagulated with bivalirudin alone or unfractionated heparin plus a glycoprotein IIb/IIIa inhibitor. Propensity score matching was performed to control for baseline imbalances and yielded 1168 patients. There was lower incidence of the composite outcome of death from any cause or major bleeding at 30 days (P = 0.005), 6 months (P = 0.005), and 12 months (P = 0.001) of follow-up in the bivalirudin group, compared with the heparin plus glycoprotein inhibitor group. The administration of bivalirudin was associated with lower rate of all-cause mortality at 1 year of follow-up (P = 0.009). The incidence of major bleeding was lower in the bivalirudin group at 1, 6, and 12 months of follow-up (P = 0.002, P = 0.013 and P = 0.017, respectively). The incidence of stroke and reinfarction were similar between groups during follow-up. The rate of stent thrombosis were slightly higher in the bivalirudin group, without reaching statistical significance at 1 and 12 months of follow-up (P = 0.06, P = 0.04, P = 0.07 at 1, 6, and 12 months, respectively). The CARTAGOMAX study found that the use of bivalirudin during percutaneous coronary intervention was associated with lower incidence of the composite outcome of death from any cause or major bleeding during follow-up. The use of bivalirudin was associated with similar rates of stroke, reinfarction, and stent thrombosis compared with heparin plus glycoprotein inhibitor. Bivalirudin proved to be a safe and effective anticoagulant during percutaneous coronary intervention.

Published
2016

172. Plasma and dietary carotenoids and vitamins A, C and E and risk of colon and rectal cancer in the European Prospective Investigation into Cancer and Nutrition

Author

Leenders, M., Leufkens, A.M., Siersema, P.D., Duijnhoven, F.J.B. van, Vrieling, A., Hulshof, P.J., Gils, C.H. van, Overvad, K., Roswall, N., Kyro, C., Boutron-Ruault, M.C., Fagerhazzi, G., Cadeau, C., Kuhn, T., Johnson, T., Boeing, H., Aleksandrova, K., Trichopoulou, A., Klinaki, E., Androulidaki, A., Palli, D., Grioni, S., Sacerdote, C., Tumino, R., Panico, S., Bakker, M.F., Skeie, G., Weiderpass, E., Jakszyn, P., Barricarte, A., Huerta, J. Maria, Molina-Montes, E., Arguelles, M., Johansson, I., Ljuslinder, I., Key, T.J., Bradbury, K.E., Khaw, K.T., Wareham, N.J., Ferrari, P., Duarte-Salles, T., Jenab, M., Gunter, M.J., Vergnaud, A.C., Wark, P.A., Bueno-De-Mesquita, H.B., Leenders, M, Leufkens, Am, Siersema, Pd, van Duijnhoven, Fj, Vrieling, A, Hulshof, Pj, van Gils, Ch, Overvad, K, Roswall, N, Kyr?, C, Boutron Ruault, Mc, Fagerhazzi, G, Cadeau, C, K?hn, T, Johnson, T, Boeing, H, Aleksandrova, K, Trichopoulou, A, Klinaki, E, Androulidaki, A, Palli, D, Grioni, S, Sacerdote, C, Tumino, R, Panico, Salvatore, Bakker, Mf, Skeie, G, Weiderpass, E, Jakszyn, P, Barricarte, A, Mar?a Huerta, J, Molina Montes, E, Arg?elles, M, Johansson, I, Ljuslinder, I, Key, Tj, Bradbury, Ke, Khaw, Kt, Wareham, Nj, Ferrari, P, Duarte Salles, T, Jenab, M, Gunter, Mj, Vergnaud, Ac, Wark, Pa, Bueno de Mesquita, Hb, LS IRAS EEPI GRA (Gezh.risico-analyse), IRAS RATIA2, and Risk Assessment of Toxic and Immunomodulatory Agents

Subjects
Adult, Male, Ascorbic Acid, Antioxidants, Fruits and vegetables, Body Mass Index, Risk Factors, Surveys and Questionnaires, Odds Ratio, Humans, Vitamin E, Vitamin A, Aged, Rectal Neoplasms, Incidence, Vitamins, Middle Aged, Colorectal cancer, Carotenoids, Diet, Europe, Oxidative Stress, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], Case-Control Studies, Colonic Neoplasms, Multivariate Analysis, Female
Abstract

Item does not contain fulltext Carotenoids and vitamins A, C and E are possibly associated with a reduced colorectal cancer (CRC) risk through antioxidative properties. The association of prediagnostic plasma concentrations and dietary consumption of carotenoids and vitamins A, C and E with the risk of colon and rectal cancer was examined in this case-control study, nested within the European Prospective Investigation into Cancer and Nutrition study. Plasma concentrations of carotenoids (alpha- and beta-carotene, canthaxanthin, beta-cryptoxanthin, lutein, lycopene, zeaxanthin) and vitamins A (retinol), C and E (alpha-, beta- and gamma- and delta-tocopherol) and dietary consumption of beta-carotene and vitamins A, C and E were determined in 898 colon cancer cases, 501 rectal cancer cases and 1,399 matched controls. Multivariable conditional logistic regression models were performed to estimate incidence rate ratios (IRR) and corresponding 95% confidence intervals (CIs). An association was observed between higher prediagnostic plasma retinol concentration and a lower risk of colon cancer (IRR for highest quartile = 0.63, 95% CI: 0.46, 0.87, p for trend = 0.01), most notably proximal colon cancer (IRR for highest quartile = 0.46, 95% CI: 0.27, 0.77, p for trend = 0.01). Additionally, inverse associations for dietary beta-carotene and dietary vitamins C and E with (distal) colon cancer were observed. Although other associations were suggested, there seems little evidence for a role of these selected compounds in preventing CRC through their antioxidative properties.

Published
2014
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173. Flavonoid and lignan intake and pancreatic cancer risk in the European prospective investigation into cancer and nutrition cohort

Author

Molina-Montes, E., Sanchez, M. J., Zamora-Ros, R., Bueno-de-Mesquita, H. B., Wark, P. A., Obon-Santacana, M., Kuhn, T., Katzke, V., Travis, R. C., Ye, W., Sund, M., Naccarati, A., Mattiello, A., Krogh, V., Martorana, C., Masala, G., Amiano, P., Huerta, J. M., Barricarte, A., Quiros, J. R., Weiderpass, E., Angell Asli, L., Skeie, G., Ericson, U., Sonestedt, E., Peeters, P. H., Romieu, I., Scalbert, A., Overvad, K., Clemens, M., Boeing, H., Trichopoulou, A., Peppa, E., Vidalis, P., Khaw, K. T., Wareham, N., Olsen, A., Tjonneland, A., Boutroun-Rualt, M. C., Clavel-Chapelon, F., Cross, A. J., Riboli, E., and Duell, E. J.

Subjects
SDG 3 - Good Health and Well-being
Abstract

Despite the potential cancer preventive effects of flavonoids and lignans, their ability to reduce pancreatic cancer risk has not been demonstrated in epidemiological studies. Our aim was to examine the association between dietary intakes of flavonoids and lignans and pancreatic cancer risk in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. A total of 865 exocrine pancreatic cancer cases occurred after 11.3 years of follow-up of 477,309 cohort members. Dietary flavonoid and lignan intake was estimated through validated dietary questionnaires and the US Department of Agriculture (USDA) and Phenol Explorer databases. Hazard ratios (HR) and 95% confidence intervals (CIs) were calculated using age, sex and center-stratified Cox proportional hazards models, adjusted for energy intake, body mass index (BMI), smoking, alcohol and diabetes status. Our results showed that neither overall dietary intake of flavonoids nor of lignans were associated with pancreatic cancer risk (multivariable-adjusted HR for a doubling of intake 5 1.03, 95% CI: 0.95–1.11 and 1.02; 95% CI: 0.89– 1.17, respectively). Statistically significant associations were also not observed by flavonoid subclasses. An inverse association between intake of flavanones and pancreatic cancer risk was apparent, without reaching statistical significance, in microscopically confirmed cases (HR for a doubling of intake 5 0.96, 95% CI: 0.91–1.00). In conclusion, we did not observe an association between intake of flavonoids, flavonoid subclasses or lignans and pancreatic cancer risk in the EPIC cohort.

Published
2016
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174. Método óptimo para la obtención de plasma rico en plaquetas en el Servicio de Clínica del Dolor del CMN 20 de noviembre ISSSTE

Author

Valadez Báez,X. L., Hernández Santos,J. R., Torres Huerta,J. C., Tenopala Villegas,S., and Canseco Aguilar,C. P.

Subjects
Plasma rico en plaquetas, métodos de obtención
Abstract

Objetivos: Describir el método óptimo para obtener plasma rico en plaquetas (PRP). Material y métodos: Previo consentimiento informado, se obtuvieron de 36 pacientes sanos una muestra sanguínea de 15 ml distribuidos en 5 tubos estériles: uno para obtención de biometría hemática y el resto se sometieron a alguno de los 3 protocolos para obtención de plasma rico en plaquetas. Protocolo 1 (n = 21): 1200 rpm/2 ciclos/8 minutos (cada ciclo); protocolo 2 (n = 8): 1200 rpm/1 ciclo de centrifugado/8 minutos. Protocolo 3 (n = 7): 1200 rpm/1 ciclo de centrifugado/10 minutos. De las muestras obtenidas, se analizó 1 ml de plasma mediante citómetro de flujo automatizado (BD FACSCanto II) y se determinó el rendimiento plaquetario mediante la fórmula: recuento de plaquetas PRP (100)/recuento de plaquetas de sangre total. El método estadístico empleado fue medidas de tendencia central, Chi cuadrado, t de Student, análisis de varianza, prueba de Wilcoxon y probabilidad de Kruskal-Wallis. Resultados: El promedio de concentración basal plaquetaria fue de 261.2 miles/mcl para los 3 métodos (p = 0.906). Después del proceso de centrifugado para protocolo 1 fue 662.3 ± 243.3 (p = 0.001); protocolo 2, 377.9 ± 101.4 (p = 0.008) y 30.9 ± 18.8 (p = 0.016) para el 3. El rendimiento fue: 255.2 ± 57.6 %; 149.3 ± 24.6 %; 13.3 ± 11.6 %, respectivamente. Conclusión: Se logró obtener PRP aplicando el primer protocolo (1200 rpm/2 ciclos/8 minutos cada ciclo). El estudio se realizó en pacientes adultos sanos, sin embargo, se tendrán que realizar estudios posteriores con una mayor población para comprobar la efectividad de este método. En caso de que la obtención plaquetaria en estudios con mayor población sea la adecuada, deberá validarse su utilidad clínica en paciente con enfermedades crónico degenerativas y se tomen en cuenta las enfermedades concomitantes.

Published
2016

176. Paget–Schroetter syndrome

Author

Franco, J, primary, Medina, F, additional, Formiga, F, additional, Huerta, J, additional, Arbe, G, additional, and Charte, A, additional

Published
2017
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180. [LB.01.21] ANALYSIS OF THE INFLUENCE OF THE CLASSICAL CARDIOVASCULAR RISK FACTORS IN THE TIMES AND QUALITY INDICATORS IN THE INTRAHOSPITAL CARE FOR ACUTE ISCHEMIC STROKE

Author

Martínez-Lerma, E.J., primary, Palazón, B., additional, Abellán-Huerta, J., additional, Clavel-Ruipérez, F.G., additional, Gómez, P., additional, Morales, A., additional, Carreón, E., additional, Sánchez-Vizcaino, C., additional, Leal-Hernández, M., additional, and Abellán-Alemán, J., additional

Published
2017
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189. General and abdominal obesity and risk of esophageal and gastric adenocarcinoma in the European Prospective Investigation into Cancer and Nutrition

Author

Steffen, A, Huerta, J-M, Weiderpass, E, Bueno-de-Mesquita, HBA, May, AM, Siersema, PD, Kaaks, R, Neamat-Allah, J, Pala, V, Panico, S, Saieva, C, Tumino, R, Naccarati, A, Dorronsoro, M, Sánchez-Cantalejo, E, Ardanaz, E, Quirós, JR, Ohlsson, B, Johansson, M, Wallner, B, Overvad, K, Halkjaer, J, Tjønneland, A, Fagherazzi, G, Racine, A, Clavel-Chapelon, F, Key, TJ, Khaw, K-T, Wareham, N, Lagiou, P, Bamia, C, Trichopoulou, A, Ferrari, P, Freisling, H, Lu, Y, Riboli, E, Cross, AJ, Gonzalez, CA, Boeing, H, Steffen, Annika, Huerta, José Maria, Weiderpass, Elisabete, Bueno de Mesquita, H. B. A, May, Anne M, Siersema, Peter D, Kaaks, Rudolf, Neamat Allah, Jasmine, Pala, Valeria, Panico, Salvatore, Saieva, Calogero, Tumino, Rosario, Naccarati, Alessio, Dorronsoro, Miren, Sánchez Cantalejo, Emilio, Ardanaz, Eva, Quirós, J. Ramón, Ohlsson, Bodil, Johansson, Mattia, Wallner, Bengt, Overvad, Kim, Halkjaer, Jytte, Tjønneland, Anne, Fagherazzi, Guy, Racine, Antoine, Clavel Chapelon, Françoise, Key, Tim J, Khaw, Kay Tee, Wareham, Nick, Lagiou, Pagona, Bamia, Christina, Trichopoulou, Antonia, Ferrari, Pietro, Freisling, Heinz, Lu, Yunxia, Riboli, Elio, Cross, Amanda J, Gonzalez, Carlos A, and Boeing, Heiner

Subjects
Adult, Male, Risk, Esophageal Neoplasms, Other Research Radboud Institute for Molecular Life Sciences [Radboudumc 0], body mass index, Adenocarcinoma, Follow-Up Studie, abdominal obesity, HELICOBACTER-PYLORI, Risk Factors, Stomach Neoplasms, CARDIA, Journal Article, PARTICIPANTS, Humans, COHORT, Body Weights and Measures, HIP CIRCUMFERENCE, Oncology & Carcinogenesis, Obesity, Prospective Studies, esophageal cancer, Esophageal Neoplasm, METAANALYSIS, Aged, Science & Technology, MORTALITY, Risk Factor, Research Support, Non-U.S. Gov't, gastric cancer, Body Weights and Measure, Middle Aged, waist circumference, BODY-MASS INDEX, Europe, Multicenter Study, Prospective Studie, Oncology, general obesity, Obesity, Abdominal, Population Surveillance, BARRETTS-ESOPHAGUS, ADIPOSITY, Female, Life Sciences & Biomedicine, 1112 Oncology And Carcinogenesis, Human, Follow-Up Studies
Abstract

Item does not contain fulltext General obesity, as reflected by BMI, is an established risk factor for esophageal adenocarcinoma (EAC), a suspected risk factor for gastric cardia adenocarcinoma (GCC) and appears unrelated to gastric non-cardia adenocarcinoma (GNCC). How abdominal obesity, as commonly measured by waist circumference (WC), relates to these cancers remains largely unexplored. Using measured anthropometric data from 391,456 individuals from the European Prospective Investigation into Cancer and Nutrition (EPIC) study and 11 years of follow-up, we comprehensively assessed the association of anthropometric measures with risk of EAC, GCC and GNCC using multivariable proportional hazards regression. One hundred twenty-four incident EAC, 193 GCC and 224 GNCC were accrued. After mutual adjustment, BMI was unrelated to EAC, while WC showed a strong positive association (highest vs. lowest quintile HR = 1.19; 95% CI, 0.63-2.22 and HR = 3.76; 1.72-8.22, respectively). Hip circumference (HC) was inversely related to EAC after controlling for WC, while WC remained positively associated (HR = 0.35; 0.18-0.68, and HR=4.10; 1.94-8.63, respectively). BMI was not associated with GCC or GNCC. WC was related to higher risks of GCC after adjustment for BMI and more strongly after adjustment for HC (highest vs. lowest quintile HR = 1.91; 1.09-3.37, and HR = 2.23; 1.28-3.90, respectively). Our study demonstrates that abdominal, rather than general, obesity is an indisputable risk factor for EAC and also provides evidence for a protective effect of gluteofemoral (subcutaneous) adipose tissue in EAC. Our study further shows that general obesity is not a risk factor for GCC and GNCC, while the role of abdominal obesity in GCC needs further investigation.

Published
2015
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190. Healthy lifestyle index and risk of gastric adenocarcinoma in the EPIC cohort study

Author

Buckland, G. Travier, N. Huerta, J. M. Bueno-de-Mesquita, H. B(As) Siersema, P. D. Skeie, G. Weiderpass, E. Engeset, D. Ericson, U. Ohlsson, B. Agudo, A. Romieu, I. and Ferrari, P. Freisling, H. Colorado-Yohar, S. Li, K. and Kaaks, R. Pala, V. Cross, A. J. Riboli, E. Trichopoulou, A. Lagiou, P. Bamia, C. Boutron-Ruault, M. C. and Fagherazzi, G. Dartois, L. May, A. M. Peeters, P. H. and Panico, S. Johansson, M. Wallner, B. Palli, D. Key, T. J. Khaw, K. T. Ardanaz, E. Overvad, K. Tjonneland, A. and Dorronsoro, M. Sanchez, M. J. Quiros, J. R. Naccarati, A. Tumino, R. Boeing, H. Gonzalez, C. A.

Abstract

Several modifiable lifestyle factors, including smoking, alcohol, certain dietary factors and weight are independently associated with gastric cancer (GC); however, their combined impact on GC risk is unknown. We constructed a healthy lifestyle index to investigate the joint influence of these behaviors on GC risk within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. The analysis included 461,550 participants (662 first incident GC cases) with a mean follow-up of 11.4 years. A healthy lifestyle index was constructed, assigning 1 point for each healthy behavior related to smoking status, alcohol consumption and diet quality (represented by the Mediterranean diet) for assessing overall GC and also body mass index for cardia GC and 0 points otherwise. Risk of GC was calculated using Cox proportional hazards regression models while adjusting for relevant confounders. The highest versus lowest score in the healthy lifestyle index was associated with a significant lower risk of GC, by 51% overall (HR 0.49 95% CI 0.35, 0.70), by 77% for cardia GC (HR 0.23 95% CI 0.08, 0.68) and by 47% for noncardia GC (HR 0.53 (95% CI 0.32, 0.87), p-trends

Published
2015

192. Efecto sobre el pH intragástrico de 20mg de levopantoprazol versus 40mg de pantoprazol racémico durante los primeros 7 días de tratamiento en pacientes con enfermedad por reflujo gastroesofágico

Author

Remes-Troche, J.M., García García, F.D., Rojas-Loureiro, G., Rivera-Gutiérrez, X., Reyes-Huerta, J., and Amieva-Balmori, M.

Abstract

El S-enantiómero del pantoprazol, el levopantoprazol, es un inhibidor de la bomba de protones que en estudios animales ha mostrado ser más rápido y potente que su formulación racémica. Sin embargo, no existen estudios en humanos por lo que nuestro objetivo fue evaluar los efectos sobre el pH intragástrico de levopantoprazol versus de pantoprazol racémico.

Published
2020
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193. Intragastric pH effect of 20mg of levo-pantoprazole versus 40mg of racemic pantoprazole the first seven days of treatment in patients with gastroesophageal reflux disease

Author

Remes-Troche, J.M., García García, F.D., Rojas-Loureiro, G., Rivera-Gutiérrez, X., Reyes-Huerta, J., and Amieva-Balmori, M.

Abstract

Levo-pantoprazole, the S-enantiomer of pantoprazole, is a proton pump inhibitor that has been shown in animal studies to be faster and stronger than its racemic formulation. There are no studies on humans and therefore our aim was to evaluate the effects of levo-pantoprazole versus racemic pantoprazole on intragastric pH.

Published
2020
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194. Síndrome de Bruns Garland. Informe de un caso y diagnóstico diferencial con el síndrome de cauda equina.

Author

Jiménez-Ávila, J. M., Castañeda-Huerta, J. E., and González-Cisneros, A. C.

Abstract

Background: The Bruns Garland syndrome (diabetic amyotrophy) it is a very rare condition, with few cases reported in the literature. Clinical diff erentiation of diabetic amyotrophy or cauda equine syndrome may be difficult. The issue of misdiagnosis has been discussed as a reason for poor outcome after lumbar spine surgery. We report a case of diabetic amyotrophy that mimics a cauda equina syndrome. Case description: A 59 years old man diabetic patient that suddenly begins with weakness of lower extremities and loss of sphincters control. The patient was seen in the emergency room, the anteroposterior and lateral radiographs of the lumbosacral spine evidenced spondylolisthesis L5-S1 level II of Meyerding. However, the MRI show no vertebral canal compression, nerve root compression or disc extrusion. Electrodiagnostic study revealed diabetic amyotrophy (Bruns Garland syndrome). The patient rapidly improves with treatment based in antineuritics, diabetes control, physical therapy and rehabilitation. Four months after the diagnosis he recover his muscle strength, has no alterations in the march, no loss of balance, his sensitive is preserved and has no pain. Conclusion: Electrodiagnostic and radiologic studies should be used in every diabetic patient presenting with leg pain and/or weakness to diff erentiate diabetic neuropathy from cauda equina syndrome. Treatment of both diseases may be needed for relief of the patient's pain. [ABSTRACT FROM AUTHOR]

Published
2019

195. Flavonoid and lignan intake in relation to bladder cancer risk in the European Prospective Investigation into Cancer and Nutrition (EPIC) study

Author

Zamora-Ros, R. Sacerdote, C. Ricceri, F. Weiderpass, E. and Roswall, N. Buckland, G. St-Jules, D. E. Overvad, K. and Kyro, C. Fagherazzi, G. Kvaskoff, M. Severi, G. and Chang-Claude, J. Kaaks, R. Noethlings, U. Trichopoulou, A. and Naska, A. Trichopoulos, D. Palli, D. Grioni, S. and Mattiello, A. Tumino, R. Gram, I. T. Engeset, D. Huerta, J. M. Molina-Montes, E. Argueelles, M. Amiano, P. and Ardanaz, E. Ericson, U. Lindkvist, B. Nilsson, L. M. and Kiemeney, L. A. Ros, M. Bueno-de-Mesquita, H. B. Peeters, P. H. M. Khaw, K-T Wareham, N. J. Knaze, V. Romieu, I. and Scalbert, A. Brennan, P. Wark, P. Vineis, P. Riboli, E. and Gonzalez, C. A.

Abstract

Background: There is growing evidence of the protective role of dietary intake of flavonoids and lignans on cancer, but the association with bladder cancer has not been thoroughly investigated in epidemiological studies. We evaluated the association between dietary intakes of total and subclasses of flavonoids and lignans and risk of bladder cancer and its main morphological type, urothelial cell carcinoma (UCC), within the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Methods: A cohort of 477 312 men and women mostly aged 35-70 years, were recruited in 10 European countries. At baseline, dietary flavonoid and lignan intakes were estimated using centre-specific validated questionnaires and a food composition database based on the Phenol-Explorer, the UK Food Standards Agency and the US Department of Agriculture databases. Results: During an average of 11 years of follow-up, 1575 new cases of primary bladder cancer were identified, of which 1425 were UCC (classified into aggressive (n = 430) and non-aggressive (n = 413) UCC). No association was found between total flavonoid intake and bladder cancer risk. Among flavonoid subclasses, significant inverse associations with bladder cancer risk were found for intakes of flavonol (hazard ratio comparing fifth with first quintile (HRQ5-Q1) 0.74, 95% confidence interval (CI): 0.61-0.91; P-trend = 0.009) and lignans (HRQ5-Q 10.78, 95% CI: 0.62-0.96; P-trend = 0.046). Similar results were observed for overall UCC and aggressive UCC, but not for non-aggressive UCC. Conclusions: Our study suggests an inverse association between the dietary intakes of flavonols and lignans and risk of bladder cancer, particularly aggressive UCC.

Published
2014

198. Plasma methionine, choline, betaine, and dimethylglycine in relation to colorectal cancer risk in the European Prospective Investigation into Cancer and Nutrition (EPIC)

Author

Nitter, M. Norgard, B. de Vogel, S. Eussen, S. J. P. M. and Meyer, K. Ulvik, A. Ueland, P. M. Nygard, O. Vollset, S. E. Bjorge, T. Tjonneland, A. Hansen, L. Boutron-Ruault, M. Racine, A. Cottet, V. Kaaks, R. Kuehn, T. and Trichopoulou, A. Bamia, C. Naska, A. Grioni, S. Palli, D. Panico, S. Tumino, R. Vineis, P. Bueno-de-Mesquita, H. B. van Kranen, H. Peeters, P. H. Weiderpass, E. and Dorronsoro, M. Jakszyn, P. Sanchez, M. Argueelles, M. and Huerta, J. M. Barricarte, A. Johansson, M. Ljuslinder, I. and Khaw, K. Wareham, N. Freisling, H. Duarte-Salles, T. and Stepien, M. Gunter, M. J. Riboli, E.

Abstract

Background: Disturbances in one carbon metabolism may contribute to carcinogenesis by affecting methylation and synthesis of DNA. Choline and its oxidation product betaine are involved in this metabolism and can serve as alternative methyl group donors when folate status is low. Patients and methods: We conducted a case-control study nested within the European Prospective Investigation into Cancer and Nutrition (EPIC), to investigate plasma concentrations of the methyl donors methionine, choline, betaine (trimethylglycine), and dimethylglycine (DMG) in relation to colorectal cancer (CRC) risk. Our study included 1367 incident CRC cases (965 colon and 402 rectum) and 2323 controls matched by gender, age group, and study center. Multivariate-adjusted odds ratios (ORs) and 95% confidence intervals (95% CIs) for CRC risk were estimated by conditional logistic regression, comparing the fifth to the first quintile of plasma concentrations. Results: Overall, methionine (OR: 0.79, 95% CI: 0.63-0.99, P-trend = 0.05), choline (OR: 0.77, 95% CI: 0.60-0.99, P-trend = 0.07), and betaine (OR: 0.85, 95% CI: 0.66-1.09, P-trend = 0.06) concentrations were inversely associated with CRC risk of borderline significance. In participants with folate concentration below the median of 11.3 nmol/l, high betaine concentration was associated with reduced CRC risk (OR: 0.71, 95% CI: 0.50-1.00, P-trend = 0.02), which was not observed for those having a higher folate status. Among women, but not men, high choline concentration was associated with decreased CRC risk (OR: 0.62, 95% CI: 0.43-0.88, P-trend = 0.01). Plasma DMG was not associated with CRC risk. Conclusions: Individuals with high plasma concentrations of methionine, choline, and betaine may be at reduced risk of CRC.

Published
2014

199. Mining Frequent Spatio-Temporal Patterns in Wind Speed and Direction

Author

Yusof, N., Zurita-Milla, R., Kraak, M.J., Retsios, V., Huerta, J., Schade, S., Cranell, C., Department of Geo-information Processing, UT-I-ITC-STAMP, and Faculty of Geo-Information Science and Earth Observation

Subjects
Meteorology, Computer science, METIS-308155, Sequential Pattern Mining, Closed pattern, Representation (mathematics), Time complexity, Simulation, Wind speed
Abstract

Wind is a dynamic geographic phenomenon that is often characterized by its speed and by the direction from which it blows. The cycle’s effect of heating and cooling on the Earth’s surface causes the wind speed and direction to change throughout the day. Understanding the changeability of wind speed and direction simultaneously in long term time series of wind measurements is a challenging task. Discovering such pattern highlights the recurring of speed together with direction that can be extracted in specific chronological order of time. In this chapter, we present a novel way to explore wind speed and direction simultaneously using sequential pattern mining approach for detecting frequent patterns in spatio-temporal wind datasets. The Linear time Closed pattern Miner sequence (LCMseq) algorithm is constructed to search for significant sequential patterns of wind speed and direction simultaneously. Then, the extracted patterns were explored using visual representation called TileVis and 3D wind rose in order to reveal any valuable trends in the occurrences patterns. The applied methods demonstrated an improvement way of understanding of temporal characteristics of wind resources.

Published
2014
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200. Physical activity, sex steroid, and growth factor concentrations in pre- and post-menopausal women: a cross-sectional study within the EPIC cohort

Author

Rinaldi, S. Kaaks, R. Friedenreich, C. M. Key, T. J. and Travis, R. Biessy, C. Slimani, N. Overvad, K. and Ostergaard, J. N. Tjonneland, A. Olsen, A. Mesrine, S. and Fournier, A. Dossus, L. Lukanova, A. Johnson, T. Boeing, H. Vigl, M. Trichopoulou, A. Benetou, V. Trichopoulos, D. Masala, G. Krogh, V. Tumino, R. Ricceri, F. and Panico, S. Bueno-de-Mesquita, H. B. Monninkhof, E. M. May, A. M. Weiderpass, E. Quiros, J. R. Travier, N. and Molina-Montes, E. Amiano, P. Huerta, J. M. Ardanaz, E. and Sund, M. Johansson, M. Khaw, K. T. Wareham, N. Scalbert, A. Gunter, M. J. Riboli, E. Romieu, I.

Abstract

Increased physical activity (PA) is associated with a reduced risk of several cancers. PA may reduce cancer risk by changing endogenous hormones levels, but relatively little research has focused on this topic. The purpose of this study was to elucidate the relation between PA and endogenous hormone concentrations. A cross-sectional analysis of 798 pre- and 1,360 post-menopausal women included as controls in case-control studies on endogenous hormones (steroids, progesterone, sex-hormone-binding globulin (SHBG), and growth factors) levels, and cancer risk nested within European Prospective Investigation into Cancer and Nutrition cohort was performed. Multivariate regression analyses were performed to compare geometric mean levels of hormones and SHBG by categories of PA. In pre-menopausal women, active women had 19 % significantly lower concentrations of androstenedione, 14 % lower testosterone, and 20 % lower free testosterone than inactive women, while no differences were observed for estrogens, progesterone, SHBG, and growth factors. In post-menopausal women, active women had 18 % significantly lower estradiol and 20 % lower free estradiol concentrations than inactive women, while no differences were observed for the other hormones and SHBG. More vigorous forms of physical activity were associated with higher insulin-like growth factor-I concentrations. Adjustment for body mass index did not alter the associations. Overall, the percentage of variance in hormone concentrations explained by PA levels was < 2 %. Our results support the hypothesis of an influence, although small in magnitude, of PA on sex hormone levels in blood, independent of body size.

Published
2014

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