1,383 results on '"Ina S"'
Search Results
352. Increased DNA methylation of SLFN12 in CD4+ and CD8+ T cells from multiple sclerosis patients
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Rhead, Brooke, primary, Brorson, Ina S., additional, Berge, Tone, additional, Adams, Cameron, additional, Quach, Hong, additional, Moen, Stine Marit, additional, Berg-Hansen, Pål, additional, Celius, Elisabeth Gulowsen, additional, Sangurdekar, Dipen P., additional, Bronson, Paola G., additional, Lea, Rodney A., additional, Burnard, Sean, additional, Maltby, Vicki E., additional, Scott, Rodney J., additional, Lechner-Scott, Jeannette, additional, Harbo, Hanne F., additional, Bos, Steffan D., additional, and Barcellos, Lisa F., additional
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- 2018
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353. G6PD Deficiency in Indonesian Newborn
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Timan, Ina S, primary, Pattiasina, Firensca, additional, Pasaribu, Merci Monica, additional, Anandari, Latifah, additional, Kosen, Desi Natalia, additional, Rohsiswatmo, Rinawati, additional, and Sjarif, Damayanti Rusli, additional
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- 2018
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354. Influence of maternal characteristics and caregiving behaviours on children's caries experience: An intergenerational approach
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Goettems, Marília L., primary, Nascimento, Gustavo G., additional, Peres, Marco A., additional, Santos, Ina S., additional, Matijasevich, Alicia, additional, Barros, Aluisio J. D., additional, Peres, Karen G., additional, and Demarco, Flávio F., additional
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- 2018
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355. Effects of dietary intake patterns from 1 to 4 years on BMI z-score and body shape at age of 6 years: a prospective birth cohort study from Brazil
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Santos, Leonardo Pozza, primary, Ong, Ken K., additional, Santos, Ina S., additional, Matijasevich, Alicia, additional, and Barros, Aluísio J. D., additional
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- 2018
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356. Prevalence of the apolipoprotein E ε4 allele in amyloid β positive subjects across the spectrum of Alzheimer's disease
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Mattsson, Niklas, primary, Groot, Colin, additional, Jansen, Willemijn J., additional, Landau, Susan M., additional, Villemagne, Victor L., additional, Engelborghs, Sebastiaan, additional, Mintun, Mark M., additional, Lleo, Alberto, additional, Molinuevo, José Luis, additional, Jagust, William J., additional, Frisoni, Giovanni B., additional, Ivanoiu, Adrian, additional, Chételat, Gaël, additional, Resende de Oliveira, Catarina, additional, Rodrigue, Karen M., additional, Kornhuber, Johannes, additional, Wallin, Anders, additional, Klimkowicz‐Mrowiec, Aleksandra, additional, Kandimalla, Ramesh, additional, Popp, Julius, additional, Aalten, Pauline P., additional, Aarsland, Dag, additional, Alcolea, Daniel, additional, Almdahl, Ina S., additional, Baldeiras, Inês, additional, Buchem, Mark A., additional, Cavedo, Enrica, additional, Chen, Kewei, additional, Cohen, Ann D., additional, Förster, Stefan, additional, Fortea, Juan, additional, Frederiksen, Kristian S., additional, Freund‐Levi, Yvonne, additional, Gill, Kiran Dip, additional, Gkatzima, Olymbia, additional, Grimmer, Timo, additional, Hampel, Harald, additional, Herukka, Sanna‐Kaisa, additional, Johannsen, Peter, additional, Laere, Koen, additional, Leon, Mony J., additional, Maier, Wolfgang, additional, Marcusson, Jan, additional, Meulenbroek, Olga, additional, Møllergård, Hanne M., additional, Morris, John C., additional, Mroczko, Barbara, additional, Nordlund, Arto, additional, Prabhakar, Sudesh, additional, Peters, Oliver, additional, Rami, Lorena, additional, Rodríguez‐Rodríguez, Eloy, additional, Roe, Catherine M., additional, Rüther, Eckart, additional, Santana, Isabel, additional, Schröder, Johannes, additional, Seo, Sang W., additional, Soininen, Hilkka, additional, Spiru, Luiza, additional, Stomrud, Erik, additional, Struyfs, Hanne, additional, Teunissen, Charlotte E., additional, Verhey, Frans R.J., additional, Vos, Stephanie J.B., additional, Waalwijk van Doorn, Linda J.C., additional, Waldemar, Gunhild, additional, Wallin, Åsa K., additional, Wiltfang, Jens, additional, Vandenberghe, Rik, additional, Brooks, David J., additional, Fladby, Tormod, additional, Rowe, Christopher C., additional, Drzezga, Alexander, additional, Verbeek, Marcel M., additional, Sarazin, Marie, additional, Wolk, David A., additional, Fleisher, Adam S., additional, Klunk, William E., additional, Na, Duk L., additional, Sánchez‐Juan, Pascual, additional, Lee, Dong Young, additional, Nordberg, Agneta, additional, Tsolaki, Magda, additional, Camus, Vincent, additional, Rinne, Juha O., additional, Fagan, Anne M., additional, Zetterberg, Henrik, additional, Blennow, Kaj, additional, Rabinovici, Gil D., additional, Hansson, Oskar, additional, Berckel, Bart N.M., additional, Flier, Wiesje M., additional, Scheltens, Philip, additional, Visser, Pieter Jelle, additional, and Ossenkoppele, Rik, additional
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- 2018
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357. Why are males more attractive after brood care? Proximate causes of enhanced sex pheromone emission in a burying beetle
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Chemnitz, Johanna, primary, Fujan, Ina S., additional, Winkelmann, Carola, additional, and Steiger, Sandra, additional
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- 2018
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358. Genetic meta-analysis identifies 9 novel loci and functional pathways for Alzheimer’s disease risk
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Jansen, Iris E, primary, Savage, Jeanne E, additional, Watanabe, Kyoko, additional, Bryois, Julien, additional, Williams, Dylan M, additional, Steinberg, Stacy, additional, Sealock, Julia, additional, Karlsson, Ida K, additional, Hägg, Sara, additional, Athanasiu, Lavinia, additional, Voyle, Nicola, additional, Proitsi, Petroula, additional, Witoelar, Aree, additional, Stringer, Sven, additional, Aarsland, Dag, additional, Almdahl, Ina S, additional, Andersen, Fred, additional, Bergh, Sverre, additional, Bettella, Francesco, additional, Bjornsson, Sigurbjorn, additional, Brækhus, Anne, additional, Bråthen, Geir, additional, de Leeuw, Christiaan, additional, Desikan, Rahul S, additional, Djurovic, Srdjan, additional, Dumitrescu, Logan, additional, Fladby, Tormod, additional, Homan, Timothy, additional, Jonsson, Palmi V, additional, Kiddle, Steven J, additional, Rongve, K Arvid, additional, Saltvedt, Ingvild, additional, Sando, Sigrid B., additional, Selbæk, Geir, additional, Skenne, Nathan, additional, Snaedal, Jon, additional, Stordal, Eystein, additional, Ulstein, Ingun D., additional, Wang, Yunpeng, additional, White, Linda R, additional, Hjerling-Leffler, Jens, additional, Sullivan, Patrick F, additional, van der Flier, Wiesje M, additional, Dobson, Richard, additional, Davis, Lea K., additional, Stefansson, Hreinn, additional, Stefansson, Kari, additional, Pedersen, Nancy L, additional, Ripke, Stephan, additional, Andreassen, Ole A, additional, and Posthuma, Danielle, additional
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- 2018
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359. Analisis Penggunaan Media Sosial Sebagai Strategi Pemasaran di Kalangan Wirausahawan Muda
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Nina Dewi Lashwaty and Ina Sholihah Widiati
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irausahawan, pemasaran digital, media sosial ,Social Sciences - Abstract
Penelitian ini dilakukan dengan metode Kuantitatif pada bulan Juli, Agustus, September 2021. Sampelnya 217 mahasiswa-mahasiswi STMIK AMIKOM Surakarta tahun akademik 2020/2021. Berdasarkan analisis regresi diketahui bahwa penggunaan Instagram, Whatsapp, dan Line memiliki pengaruh positif terhadap peningkatan penjualan di kalangan wirausahawan muda mahasiswa STMIK AMIKOM Surakarta, sedangkan lainnya berlawanan arah. Berdasarkan Uji F diketahui terdapat pengaruh simultan penggunaan Facebook, Instagram, Whatsapp, Youtube, Twitter, Telegram, dan Line terhadap peningkatan penjualan di kalangan wirausahawan muda mahasiswa STMIK AMIKOM Surakarta. Dari Uji t dapat diketahui bahwa penggunaan Instagram yang secara parsial paling berpengaruh terhadap peningkatan penjualan di kalangan wirausahawan muda mahasiswa STMIK AMIKOM Surakarta, sedangkan penggunaan Youtube yang secara parsial paling tidak berpengaruh. R2 = 0.207 berarti penggunaan Facebook, Instagram, Whatsapp, Youtube, Twitter, Telegram, dan Line berpengaruh 20.7% terhadap peningkatan penjualan di kalangan wirausahawan muda mahasiswa STMIK AMIKOM Surakarta, sisanya dipengaruhi oleh variabel-variabel lain yang tidak diteliti. Alpha Cronbach = 0.764 maka reliabilitas tinggi. Kata Kunci : Wirausahawan, Pemasaran Digital, Media Sosial
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- 2022
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360. Worldwide trends in blood pressure from 1975 to 2015:a pooled analysis of 1479 population-based measurement studies with 19.1 million participants
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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
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- 2017
361. CD105 expression in cancer-associated fibroblasts: a biomarker for bone metastasis in early invasive ductal breast cancer patients
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María Belén Giorello, Leandro Marcelo Martinez, Francisco Raúl Borzone, María del Rosario Padin, María Florencia Mora, Ina Sevic, Laura Alaniz, María de Luján Calcagno, Hernán García-Rivello, Alejandra Wernicke, Vivian Labovsky, and Norma Alejandra Chasseing
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cancer-associated fibroblasts ,CD105 ,breast cancer ,prognosis factor ,bone metastasis ,Biology (General) ,QH301-705.5 - Abstract
Introduction: Bone metastasis is one of the causes that mainly decrease survival in patients with advanced breast cancer. Therefore, it is essential to find prognostic markers for the occurrence of this type of metastasis during the early stage of the disease. Currently, cancer-associated fibroblasts, which represent 80% of the fibroblasts present in the tumor microenvironment, are an interesting target for studying new biomarkers and developing alternative therapies. This study evaluated the prognostic significance of the CD105 expression in cancer-associated fibroblasts in early breast cancer patients.Methods: Immunohistochemistry was used to assess CD105 expression in invasive ductal breast carcinomas (n = 342), analyzing its association with clinical and pathological characteristics.Results: High CD105 expression in cancer-associated fibroblasts was associated with an increased risk of metastatic occurrence (p = 0.0003), particularly bone metastasis (p = 0.0005). Furthermore, high CD105 expression was associated with shorter metastasis-free survival, bone metastasis-free survival, and overall survival (p = 0.0002, 0.0006, and 0.0002, respectively). CD105 expression also constituted an independent prognostic factor for metastasis-free survival, bone metastasis-free survival, and overall survival (p = 0.0003, 0.0006, and 0.0001, respectively).Discussion: The high CD105 expression in cancer-associated fibroblasts is an independent prognostic marker for bone metastasis in early breast cancer patients. Therefore, the evaluation of CD105(+) CAFs could be crucial to stratify BCPs based on their individual risk profile for the development of BM, enhancing treatment strategies and outcomes.
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- 2023
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362. Pharmacokinetic modelling of orally administered cannabidiol and implications for medication control in horses
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Fabienne Eichler, Błażej Poźniak, Marc Machnik, Ina Schenk, Anke Wingender, Natalie Baudisch, Mario Thevis, Wolfgang Bäumer, Christoph Lischer, and Anna Ehrle
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CBD ,cannabinoids ,doping ,drug control ,equine ,Monolix ,Veterinary medicine ,SF600-1100 - Abstract
Cannabidiol (CBD) products gain increasing popularity amongst animal owners and veterinarians as an alternative remedy for treatment of stress, inflammation or pain in horses. Whilst the use of cannabinoids is banned in equine sports, there is limited information available concerning CBD detection times in blood or urine. The aim of this study was to determine the pharmacokinetic properties of CBD following oral administration in the horse to assist doping control laboratories with interpreting CBD analytical results. Part 1: dose escalation study: Single oral administration of three escalating doses of CBD paste (0.2 mg/kg, n = 3 horses; 1 mg/kg, n = 3; 3 mg/kg, n = 5) with >7 days wash-out periods in between. Part 2: multiple dose study: oral administration of CBD paste (3 mg/kg, n = 6) twice daily for 15 days. Multiple blood and urine samples were collected daily throughout both studies. Following study part 2, blood and urine samples were collected for 2 weeks to observe the elimination phase. Concentrations of CBD, its metabolites and further cannabinoids were evaluated using gas-chromatography/tandem-mass-spectrometry. Pharmacokinetic parameters were assessed via two approaches: population pharmacokinetic analysis using a nonlinear mixed-effects model and non-compartmental analysis. AUC0–12 h and Cmax were tested for dose proportionality. During the elimination phase, the CBD steady-state urine to serum concentration ratio (Rss) was calculated. Oral CBD medication was well-tolerated in horses. Based on population pharmacokinetics, a three-compartment model with zero-order absorption most accurately described the pharmacokinetic properties of CBD. High volumes of distribution into peripheral compartments and high concentrations of 7-carboxy-CBD were observed in serum. Non-compartmental analysis identified a Cmax of 12.17 ± 2.08 ng/mL after single administration of CBD (dose: 3 mg/kg). AUC0–12 h showed dose proportionality, increase for Cmax leveled off at higher doses. Following multiple doses, the CBD terminal half-life was 161.29 ± 43.65 h in serum. Rss was 4.45 ± 1.04. CBD is extensively metabolized and shows high volumes of tissue distribution with a resulting extended elimination phase. Further investigation of the potential calming and anti-inflammatory effects of CBD are required to determine cut-off values for medication control using the calculated Rss.
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- 2023
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363. Flexible Correct-by-Construction Programming
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Tobias Runge, Tabea Bordis, Alex Potanin, Thomas Thüm, and Ina Schaefer
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computer science - logic in computer science ,computer science - programming languages ,computer science - software engineering ,Logic ,BC1-199 ,Electronic computers. Computer science ,QA75.5-76.95 - Abstract
Correctness-by-Construction (CbC) is an incremental program construction process to construct functionally correct programs. The programs are constructed stepwise along with a specification that is inherently guaranteed to be satisfied. CbC is complex to use without specialized tool support, since it needs a set of predefined refinement rules of fixed granularity which are additional rules on top of the programming language. Each refinement rule introduces a specific programming statement and developers cannot depart from these rules to construct programs. CbC allows to develop software in a structured and incremental way to ensure correctness, but the limited flexibility is a disadvantage of CbC. In this work, we compare classic CbC with CbC-Block and TraitCbC. Both approaches CbC-Block and TraitCbC, are related to CbC, but they have new language constructs that enable a more flexible software construction approach. We provide for both approaches a programming guideline, which similar to CbC, leads to well-structured programs. CbC-Block extends CbC by adding a refinement rule to insert any block of statements. Therefore, we introduce CbC-Block as an extension of CbC. TraitCbC implements correctness-by-construction on the basis of traits with specified methods. We formally introduce TraitCbC and prove soundness of the construction strategy. All three development approaches are qualitatively compared regarding their programming constructs, tool support, and usability to assess which is best suited for certain tasks and developers.
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- 2023
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364. Awakening the sleeping giant of urban green in times of crisis—coverage, co-creation and practical guidelines for optimizing biodiversity-friendly and health-promoting residential greenery
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Sonja Mohr-Stockinger, Simone J. Sanft, Frederike Büttner, Sylvia Butenschön, Rhea Rennert, and Ina Säumel
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co-creation ,environmental justice ,ecosystem services ,green gentrification ,green regeneration ,nature-based solutions ,Public aspects of medicine ,RA1-1270 - Abstract
As multiple crises deepen existing inequalities in urban societies within and between neighborhoods, strategically integrating nature-based solutions into the living environment can help reduce negative impacts and improve public health, social cohesion, and well-being. Compared to public green such as parks, semi-public residential greenery is rarely studied, is regularly overlooked by planners, and often receives step-motherly treatment from architects and housing companies. We approximated the area of residential greenery of modernist multi-story apartment complexes in Berlin, Germany. We surveyed residents’ suggestions for improving their living environments in vulnerable neighborhoods, report on co-creation experiences, and provide a practical guideline for optimizing health-promoting residential green spaces. The semi-public open space on the doorstep of two-thirds of Berlin’s population is highly fragmented and, in total, has a similar area as the public green spaces and a great potential for qualitative development. Just as the suitability of different nature-based solutions to be integrated into the residential greenery depends on building types, resident demands differ between neighborhoods. Residents called for more involvement in design, implementation, and maintenance, frequently proposing that biodiversity-friendly measures be included. As there is no universal solution even for neighborhoods sharing similar structural and socioeconomic parameters, we propose, and have tested, an optimization loop for health-promoting residential greening that involves exploring residents’ needs and co-creating local solutions for urban regeneration processes that can be initiated by different actors using bottom-up and/or top-down approaches in order to unlock this potential for healthy, livable and biodiversity friendly cities.
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- 2023
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365. Strain-promoted azide-alkyne cycloaddition for protein-protein coupling in the formation of a bis-hemoglobin as a copper-free oxygen carrier
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Ina S. Dubinsky-Davidchik, Ronald Kluger, and Serena Singh
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Azides ,Alkyne ,010402 general chemistry ,Photochemistry ,01 natural sciences ,Biochemistry ,chemistry.chemical_compound ,Hemoglobins ,Tetramer ,Humans ,Reactivity (chemistry) ,Physical and Theoretical Chemistry ,chemistry.chemical_classification ,Cycloaddition Reaction ,010405 organic chemistry ,Organic Chemistry ,Combinatorial chemistry ,Cycloaddition ,0104 chemical sciences ,Oxygen ,chemistry ,Alkynes ,Functional group ,Azide ,Hemoglobin ,Derivative (chemistry) - Abstract
Conventional chemical approaches to protein-protein coupling present challenges due to the intrinsic competition between the desired interactions of reagents with groups of the protein as well as reactions with water. Biorthogonal Cu(i)-catalyzed azide-alkyne cycloaddition (CuAAC)-processes provide a basis to direct reactivity without functional group interference. However, the requirement for Cu(i) in CuAAC leads to complications that result from the metal ion's interactions with the protein. In principle, a similar but metal-free alternative approach to coupling could employ the reaction of an alkyne that is strained in combination with an azide (strain-promoted azide-alkyne cycloaddition, SPAAC). The method is exemplified by the combination of a cyclooctyne derivative of hemoglobin with an azide-modified hemoglobin. The bis-hemoglobin tetramer that is produced has properties consistent with those sought for use as a hemoglobin-based oxygen carrier (HBOC).
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- 2016
366. Infant sleep hygiene counseling (sleep trial): protocol of a randomized controlled trial
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Ina S, Santos, Diego G, Bassani, Alicia, Matijasevich, Camila S, Halal, Bianca, Del-Ponte, Suélen Henriques, da Cruz, Luciana, Anselmi, Elaine, Albernaz, Michelle, Fernandes, Luciana, Tovo-Rodrigues, Mariangela F, Silveira, and Pedro C, Hallal
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Time Factors ,Child growth ,Directive Counseling ,Infant ,Mothers ,Self-Control ,House Calls ,Study Protocol ,Child Development ,Clinical Protocols ,Child, Preschool ,Surveys and Questionnaires ,Infant Care ,Humans ,Female ,Single-Blind Method ,Sleep Hygiene ,Sleep - Abstract
Background Sleep problems in childhood have been found to be associated with memory and learning impairments, irritability, difficulties in mood modulation, attention and behavioral problems, hyperactivity and impulsivity. Short sleep duration has been found to be associated with overweight and obesity in childhood. This paper describes the protocol of a behavioral intervention planned to promote healthier sleep in infants. Methods The study is a 1:1 parallel group single-blinded randomized controlled trial enrolling a total of 552 infants at 3 months of age. The main eligibility criterion is maternal report of the infant’s sleep lasting on average less than 15 h per 24 h (daytime and nighttime sleep). Following block randomization, trained fieldworkers conduct home visits of the intervention group mothers and provide standardized advice on general practices that promote infant’s self-regulated sleep. A booklet with the intervention content to aid the mother in implementing the intervention was developed and is given to the mothers in the intervention arm. In the two days following the home visit the intervention mothers receive daily telephone calls for intervention reinforcement and at day 3 the fieldworkers conduct a reinforcement visit to support mothers’ compliance with the intervention. The main outcome assessed is the between group difference in average nighttime self-regulated sleep duration (the maximum amount of time the child stays asleep or awake without awakening the parents), at ages 6, 12 and 24 months, evaluated by means of actigraphy, activity diary records and questionnaires. The secondary outcomes are conditional linear growth between age 3–12 and 12–24 months and neurocognitive development at ages 12 and 24 months. Discussion The negative impact of inadequate and insufficient sleep on children’s physical and mental health are unquestionable, as well as its impact on cognitive function, academic performance and behavior, all of these being factors to which children in low- and middle-income countries are at higher risk. Behavioral interventions targeting mothers and young children that can be delivered inexpensively and not requiring specialized training can help prevent future issues by reducing the risk to which these children are exposed. Trial registration ClinicalTrial.gov NCT02788630 registered on 14 June 2016 (retrospectively registered).
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- 2016
367. Pengukuran Komponen Zat Besi pada Laki-Laki Pendonor Darah Rutin di Kabupaten Gunung Kidul Tahun 2013
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Ina S. Timan, Grace Tanamal, Vivi Setiawaty, and Ni Ken Ritchie
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blood donor, iron status, Gunung Kidul ,lcsh:Public aspects of medicine ,lcsh:R ,lcsh:Medicine ,lcsh:RA1-1270 ,General Medicine - Abstract
Iron deficiency is one of the most common nutritional disorder in the world and this can happen in the routine male blood donors. In people who donate blood on a regular basis are feared to iron deficiency without anemia. Thus a major concern of the donor screening for iron deficiency aiming for blood donors is to stay healthy and continue to donate blood. This study used a cross-sectional design in the male blood donors from Gunung Kidul who donate blood first, fifth and tenth times. Each donation made up of 25 people who were taken blood samples for serum iron (SI), total iron binding capacity (TIBC), transferrin saturation and serum ferritin examination. Results obtained in the first donation, the mean ferritin level was 91.78; the fifth donation increased ferritin levels in the amount of 111.49 and decreased again in the tenth donation donor group 65.28. Results of Kruskal Wallis test showed no significant difference between the mean ferritin levels in the first donation, the fifth and the tenth time (p=0.044). There is a decrease in body iron stores (serum ferritin) in the tenth donation while no changes for SI, TIBC and transferrin saturation. The more often one donate blood can cause first stage of iron deficiency which call as iron depletion. Therefore need to be considered dietary or nutritional status and also supplements provided after donor.Keywords : blood donor, iron status, Gunung KidulAbstrakDefisiensi besi adalah salah satu gangguan gizi yang paling umum dan bisa terjadi pada para pendonor darah laki-laki yang rutin. Pada pendonor darah yang sering mendonorkan darah, pada suatu waktu dikhawatirkan dapat terjadi defisiensi besi tanpa anemia. Tujuan dari penelitian adalah untuk mendapatkan hubungan kekerapan donasi dengan penurunan cadangan besi tubuh (feritin serum) dan saturasi besi. Penelitian ini menggunakan desain potong lintang pada para pendonor darah laki-laki di Gunung Kidul yang menyumbangkan darahnya pertama, kelima dan kesepuluh kali. Jumlah donor dari kelompok donasi sebanyak 25 orang yang diambil sampel darahnya untuk dilakukan pemeriksaan serum iron (SI), total iron binding capacity (TIBC), saturasi transferin dan feritin serum. Didapatkan hasil pada kelompok pendonor pertama kali, rerata kadar feritin adalah 91,78; pada kelompok pendonor yang menyumbangkan darahnya kelima kali terjadi peningkatan kadar feritin yaitu sebesar 111,49 dan menurun lagi pada kelompok pendonor donasi yang menyumbangkan darahnya kesepuluh kali yakni 65,28. Hasil uji kruskal wallis menunjukkan ada perbedaan rerata yang bermakna antara kadar feritin dari donasi pertama, kelima dan kesepuluh kali (nilai p=0,044). Kadar SI, TIBC dan saturasi transferin tidak mengalami perubahan sedangkan cadangan besi tubuh (feritin serum) pada donasi kesepuluh mengalami penurunan. Semakin sering seseorang menyumbangkan darah dapat terjadi defisiensi besi tahap pertama yang disebut juga iron depletion.Kata kunci : donor darah, status zat besi, Gunung Kidul
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- 2016
368. The Feasibility of Using Augmented Auditory Feedback From a Pressure Detecting Insole to Reduce the Knee Adduction Moment: A Proof of Concept Study
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Ina S. Stoller, Markus A. Wimmer, C. Ferrigno, Najia Shakoor, and Laura E. Thorp
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Adult ,Male ,musculoskeletal diseases ,medicine.medical_specialty ,Knee Joint ,Computer science ,Biomedical Engineering ,Walking ,Feedback ,03 medical and health sciences ,0302 clinical medicine ,Gait (human) ,Physical medicine and rehabilitation ,Physiology (medical) ,Pressure ,medicine ,Humans ,Gait ,030203 arthritis & rheumatology ,Auditory feedback ,Foot ,Work (physics) ,Biomechanics ,030229 sport sciences ,Biomechanical Phenomena ,Shoes ,Moment (mathematics) ,Adduction moment ,Proof of concept ,Auditory Perception ,Feasibility Studies ,Female ,Gait modification ,human activities ,Biomedical engineering - Abstract
The objective of this work was to conduct a proof of concept study utilizing auditory feedback from a pressure-detecting shoe insole to shift plantar pressure medially in order to reduce the knee adduction moment (KAM). When compared with normal walking, 32 healthy subjects significantly reduced their peak KAM using feedback (p
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- 2016
369. Clinical frailty, and not features of acute infection, is associated with late mortality in COVID‐19: a retrospective cohort study
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Nikolaos I. Vlachogiannis, Kenneth F. Baker, Georgios Georgiopoulos, Charalampos Lazaridis, Ina Schim van der Loeff, Aidan T. Hanrath, Kateryna Sopova, Simon Tual‐Chalot, Aikaterini Gatsiou, Ioakim Spyridopoulos, Kimon Stamatelopoulos, Christopher J.A. Duncan, and Konstantinos Stellos
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COVID‐19 ,Late mortality ,Frailty ,4C mortality score ,Prognosis ,Diseases of the musculoskeletal system ,RC925-935 ,Human anatomy ,QM1-695 - Abstract
Abstract Background Coronavirus disease 2019 (COVID‐19) is associated with excess mortality after hospital discharge. Identification of patients at increased risk of death following hospital discharge is needed to guide clinical monitoring and early intervention. Herein, we aimed to identify predictors of early vs. late mortality in COVID‐19 patients. Methods A total of 471 patients with polymerase chain reaction‐confirmed COVID‐19 were followed up for 9 months [median (inter‐quartile range) of follow‐up time: 271 (14) days] after hospital admission. COVID‐19‐related signs and symptoms, laboratory features, co‐morbidities, Coronavirus Clinical Characterisation Consortium (4C) mortality and Clinical Frailty Scale (CFS) scores were analysed by logistic regression for association with early (28 day) vs. late mortality. Receiver operating characteristic (ROC) analysis was used to determine the discriminative value of 4C and CFS scores for early vs. late mortality. Results A total of 120 patients died within 28 days from hospital admission. Of the remaining 351 patients, 41 died within the next 8 months. Respiratory failure, systemic inflammation, and renal impairment were associated with early mortality, while active cancer and dementia were associated with late mortality, after adjustment for age and sex. 4C mortality score and CFS were associated with both early [odds ratio (OR) (95% confidence interval—CI): 4C: 1.34 (1.25–1.45); CFS: 1.49 (1.33–1.66)] and late [OR (95% CI): 4C: 1.23 (1.12–1.36); CFS: 2.04 (1.62–2.56)] mortality. After adjustment for CFS, the association between 4C and late mortality was lost. By ROC analysis, 4C mortality score was superior to CFS for 28 day mortality [area under the curve (AUC) (95% CI): 0.779 (0.732–0.825) vs. 0.723 (0.673–0.773), respectively; P = 0.039]. In contrast, CFS had higher predictive value for late mortality compared with 4C mortality score [AUC (95% CI): 0.830 (0.776–0.883) vs. 0.724 (0.650–0.798), respectively; P = 0.007]. Conclusions In our cohort, late mortality in COVID‐19 patients is more strongly associated with premorbid clinical frailty than with severity of the acute infection phase.
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- 2022
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370. Consideration of specific key points improves outcome of decompression treatment in patients with endocrine orbitopathy: pre-/post-OP comparison and biomechanical simulation
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Matthias Krause, Michael-Tobias Neuhaus, Ina Sterker, Alexander K. Bartella, Annika Schönfeld, Bernd Lethaus, Rüdiger Zimmerer, and Evgeny Gladilin
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Endocrine orbitopathy ,Decompression surgery ,Computer tomography data ,Biomechanical simulation ,Medicine - Abstract
Abstract Endocrine orbitopathy is typically treated by resecting orbital walls. This procedure reduces intraorbital pressure by releasing intraorbital tissue, effectively alleviating the symptoms. However, selection of an appropriate surgical plan for treatment of endocrine orbitopathy requires careful consideration because predicting the effects of one-, two-, or three-wall resections on the release of orbital tissues is difficult. Here, based on our experience, we describe two specific orbital sites (’key points’) that may significantly improve decompression results. Methodological framework of this work is mainly based on comparative analysis pre- and post-surgery tomographic images as well as image- and physics-based simulation of soft tissue outcome using the finite element modelling of mechanical soft tissue behaviour. Thereby, the optimal set of unknown modelling parameters was obtained iteratively from the minimum difference between model predictions and post-surgery ground truth data. This report presents a pre-/post-surgery study indicating a crucial role of these particular key points in improving the post-surgery outcome of decompression treatment of endocrine orbitopathy which was also supported by 3D biomechanical simulation of alternative two-wall resection plans. In particular, our experimental results show a nearly linear relationship between the resection area and amount of tissue released in the extraorbital space. However, a disproportionately higher volume of orbital outflow could be achieved under consideration of the two special key points. Our study demonstrates the importance of considering natural biomechanical obstacles to improved outcomes in two-wall resection treatment of endocrine orbitopathy. Further investigations of alternative surgery scenarios and post-surgery data are required to generalize the insights of this feasibility study.
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- 2022
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371. Productivity and stability of foothill meadow species in the Balkan mountains conditions
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Natalia Georgieva, Valentin Kosev, Dimitar Mitev, and Ina Stoycheva
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meadow grasses ,evaluation ,productivity ,stability parameters ,Agriculture - Abstract
The creation of grasslands with the participation of species of local origin, suitable for the climatic conditions of the region and with increased productivity and stability of yield is an important condition for ensuring sustainable or organic feed production. For ecological assessment of meadow species in the semi-mountainous regions of Balkan Mountains according to indicators and parameters related to productivity and stability, an experiment is carried out in the period 2011–2019 in the following variation: Festuca rubra L., Lolium perenne L., Dactylis glomerata L., Arrhenatherum elatius P.B., Festuca arundinacea Schreb., Briza maxima L., Trisetum flavescens L., Agrostis alba L. The experiment is performed by the block method, and the methods of regression, variance and nonparametric analysis are used to assess the stability. According to the values of most of the calculated stability parameters (bi, Si2, λi, σ2i, PP, W2, S⁽³⁾, S⁽⁶⁾, NP⁽¹⁾) Dactilis glomerata shows good ecological stability. Complex evaluation by GGE biplot analysis identifies Festuca rubra L. as a species that favourably combines high productivity with relative stability. Dactilis glomerata and French ryegrass are characterized by high stability and yield close to the average for the group. These species are suitable for growing in a wide range of environmental conditions.
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- 2022
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372. The use of google classroom in teaching writing skills
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Septina Indrayani and Ina Sukaesih
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google classroom ,s-v agreement ,writing skills ,Language and Literature ,Philology. Linguistics ,P1-1091 - Abstract
Writing is one of the skills that English learners must master. However, in Indonesia where English is taught as a Foreign language (EFL), it has become the most challenging skill to learn. One of the factors is the difference in the usage of subject and verb in the sentence. This paper aims to see the impact of Google Classroom usage on the learning process of writing simple sentences, specifically the accuracy of writing the Subject Verb (S-V) agreement and students’ perception of using this online tool in writing activities. A mixed-method approach is used in this study where one group pretest-posttest of writing accuracy is done for 77 Electrical Engineering students, Jakarta State Polytechnic. For qualitative data analysis, Focus Group Discussions (FGDs) are conducted. The result shows an increase in the accuracy of students’ writing accuracy specifically on the writing of S-V agreement. Furthermore, students believe that Google Classroom in the writing class is beneficial due to lesson hand-outs distribution and assignment submission efficiency.
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- 2022
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373. Brain Morphometric Correlates of Depressive Symptoms among Patients with and without Dementia
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Maria Lage Barca, Dag Alnæs, Knut Engedal, Karin Persson, Rannveig Sakshaug Eldholm, Nikias Siafarikas, Ina Selseth Almdahl, Maria Stylianou-Korsnes, Ingvild Saltvedt, Geir Selbæk, and Lars T. Westlye
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dementia ,depression ,mri ,Neurology. Diseases of the nervous system ,RC346-429 ,Geriatrics ,RC952-954.6 - Abstract
Introduction: Findings regarding brain morphometry among patients with dementia and concomitant depressive symptoms have been inconsistent. Thus, the aim of the present study was to test the hypothesis that dementia and concomitant depressive symptoms are associated with structural brain changes in the temporal lobe measured with structural magnetic resonance imaging (MRI). Methods: A sample of 492 patients from Norwegian memory clinics (n = 363) and Old Age Psychiatry services (n = 129) was studied. The assessment included the Cornell Scale for Depression in Dementia (CSDD), Instrumental Activities of Daily Living Scale, Mini Mental State Examination, and MRI of the brain, processed with FreeSurfer to derive ROI measures of cortical thickness, volume, and area using the Desikan-Killiany parcellation, as well as subcortical volumes. Dementia was diagnosed according to ICD-10 research criteria. Correlates of brain morphometry using multiple linear regression were examined. Results: Higher scores on the CSDD were associated with larger cortical volume (β = 0.125; p value = 0.003) and area of the left isthmus of the cingulate gyrus (β = 0.151; p value =
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- 2022
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374. The impact of obstructive sleep apnea on quality of life in children with asthma
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Lisa Adhia Garina, Faisal Yunus, Ina Susianti Timan, Widhy Yudistira Nalapraya, and Bambang Supriyatno
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asthma ,children ,lung function ,obstructive sleep apnea ,quality of life ,Medicine ,Pediatrics ,RJ1-570 - Abstract
Background In children with asthma, obstructive sleep apnea (OSA) is a comorbidity of concern. The presence of OSA has been associated with asthma exacerbations and decreased quality of life. Leukotriene played a role in tonsil hypertrophy which is one of the risk factors for OSA. Objective To evaluate the influence of OSA on quality of life in children with asthma. Methods This cross-sectional study in asthmatic children aged 7?15 years was conducted from August 2020 to June 2021 at government elementary and primary high schools in Bandung, West Java, Indonesia. Asthma was diagnosed by peak expiratory flow rate (PEFR) and OSA was diagnosed by polysomnography. Leukotriene was examined by an ELISA method and quality of life assessed by the Pediatric Asthma Quality of Life Questionnaire (PAQLQ). Results Using the ISAAC questionnaire distributed through teachers to parents, 206 (6.9%) of 2,964 children stated that they had been diagnosed with asthma, 80 of whom were included in our study. Subjects’ mean age was 12 (SD 2) years and most were male. Intermittent asthma and history of allergy was dominant. Thirty-two children had OSA, mostly mild OSA. The mean level of leukotriene was not different between asthmatic children with and without OSA. The percentage of PEFR in asthmatic children with OSA was significantly lower than in those without OSA. The total PAQLQ score in asthmatic children with OSA and all PAQLQ domains were significantly lower than in those without OSA. Conclusion Obstructive sleep apnea in children with asthma is significantly associated with decreased peak expiratory flow rate and lower quality of life.
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- 2022
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375. Utilizing and teaching data tools in Excel for exploratory analysis
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Steven E. Markham, Susan W. Palocsay, and Ina S. Markham
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Marketing ,Set (abstract data type) ,Decision support system ,Exploratory data analysis ,business.industry ,Computer science ,Business intelligence ,Container (abstract data type) ,Key (cryptography) ,business ,Automation ,Data science ,Pivot table - Abstract
In this article we offer Excel as an introductory tool to high end business intelligence (BI) and decision support system (DSS) applications. Because it is ubiquitous, Excel can be used by all managers and business students for exploratory data analysis. We provide three key points in this utilization of Microsoft ® Excel 2003: (1) manipulating records using Excel as a database, (2) creating PivotTables ® and PivotCharts ® using Excel for analysis, and (3) importing data using Excel as an automation container. The basic skill set defined by the above three items allows users to begin to use Excel to its full potential in finding information in business data, and it offers a key tool for future research in improving the utilization of information across organizations.
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- 2010
376. Microsomal epoxide hydrolase expression in the endometrial uterine corpus is regulated by progesterone during the menstrual cycle
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Miriam B. Buck, Simone L. Popp, Curt W. Burger, Peter Fritz, Cornelius Knabbe, Ina S. Abele, Leen J. Blok, Payman Hanifi-Moghaddam, Matthias B. Stope, Obstetrics & Gynecology, and Medical Oncology
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medicine.medical_specialty ,Histology ,Physiology ,Blotting, Western ,Cell Culture Techniques ,Medroxyprogesterone Acetate ,Biology ,Endometrium ,Gene Expression Regulation, Enzymologic ,Cell Line ,SDG 3 - Good Health and Well-being ,Internal medicine ,Progesterone receptor ,medicine ,Estrogen Receptor beta ,Humans ,Receptor ,Menstrual Cycle ,Progesterone ,Regulation of gene expression ,Epoxide Hydrolases ,Reverse Transcriptase Polymerase Chain Reaction ,Estrogen Receptor alpha ,Cell Biology ,General Medicine ,Immunohistochemistry ,Blot ,medicine.anatomical_structure ,Endocrinology ,Microsomal epoxide hydrolase ,Female ,Receptors, Progesterone ,Estrogen receptor alpha ,Tamoxifen ,medicine.drug - Abstract
We have shown previously that high expression levels of microsomal epoxide hydrolase (mEH) correlate with a poor prognosis of breast cancer patients receiving tamoxifen, suggesting that enhanced mEH expression could lead to antiestrogen resistance (Fritz et al. in J Clin Oncol 19:3-9, 2001). Thus, the purpose of this study was to gain insights into the role of mEH in hormone-responsive tissues. We analyzed biopsy samples of the endometrium by immunohistochemical staining, pointing to a regulation of mEH during the menstrual cycle: during the first half mEH expression was low, increased during the second half and reached highest levels during pregnancy. Additionally, the progesterone receptor (PR) positive human endometrial cell lines IKPRAB-36 (estrogene receptor alpha [ER alpha] negative) and ECC1-PRAB72 (ER alpha positive) were chosen to further investigate the hormonal regulation of mEH expression. Western Blot and quantitative RT-PCR analysis revealed an increase of mEH expression after treatment with medroxy-progesterone 17-acetate (MPA) in the ER alpha containing ECC1-PRAB72 cells. In contrast our results suggest that MPA had no influence on the mEH protein level in the ER alpha- IKPRAB-36 cells. In conclusion, mEH expression is regulated by progesterone in the presence of both PRs and ER alpha.
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- 2010
377. Improving the prediction of employee productivity: a comparison of ordinary least squares versus genetic algorithms coupled with artificial neural networks
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Markham, Steven E., Markham, Ina S., and Wray, Barry A.
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Neural networks -- Usage ,Employee performance -- Management ,Genetic algorithms -- Usage ,Least squares -- Usage ,Production management -- Methods ,Neural network ,Company business management ,Engineering and manufacturing industries ,Human resources and labor relations - Abstract
Byline: Steven E. Markham, Ina S. Markham, Barry A. Wray This research compares the results of utilising an Ordinary Least Squares (OLS) approach versus a combined Genetic Algorithm (GA) with an Artificial Neural Network (ANN) for the task of selecting high-productivity employees. Demographic and piece-rate performance data were collected from 378 employees of a large garment manufacturer. While the OLS model showed only 3 of 11 predictors to be significant, a combined GA procedure coupled with an ANN model found seven determinants to be important in identifying the most productive employees. The ANN model's R of 0.30 was significantly better at predicting hourly productivity than the OLS model (R = 0.14). The accuracy of the classification results showed that the two techniques were very different; the ANN results were significantly more accurate for identifying and classifying high-performance employees. The implications of this for the field of productivity and employee selection are discussed.
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- 2006
378. Intratumoral rhIL-12 administration in head and neck squamous cell carcinoma patients induces B cell activation
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Robbert van der Voort, Gosse J. Adema, I. Jolanda M. de Vries, Ina S. Klasen, Aniek O. de Graaf, Tjitske Duiveman-de Boer, Jeroen van der Laak, Ruurd Torensma, Johan H. J. M. van Krieken, Léon C van Kempen, Harry Dolstra, Carla M.L. van Herpen, and Pieter H.M. De Mulder
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Male ,Cancer Research ,Pathology ,Genetics and epigenetic pathways of disease [NCMLS 6] ,medicine.medical_treatment ,Injections, Intralesional ,Lymphocyte Activation ,Polymerase Chain Reaction ,Immunophenotyping ,Immune Regulation [NCMLS 2] ,Molecular diagnosis, prognosis and monitoring [UMCN 1.2] ,Chronic inflammation and autoimmunity [UMCN 4.2] ,B-Lymphocytes ,Middle Aged ,Immunohistochemistry ,Interleukin-12 ,Recombinant Proteins ,Pathogenesis and modulation of inflammation [N4i 1] ,Cytokine ,medicine.anatomical_structure ,Oncology ,Head and Neck Neoplasms ,Carcinoma, Squamous Cell ,Female ,Lymph ,medicine.medical_specialty ,Age-related aspects of cancer [ONCOL 2] ,Interferon-gamma ,Translational research [ONCOL 3] ,Carcinoma ,medicine ,Humans ,RNA, Messenger ,B cell ,Aged ,DNA Primers ,Hereditary cancer and cancer-related syndromes [ONCOL 1] ,Base Sequence ,business.industry ,Tumor-infiltrating lymphocytes ,Germinal center ,Immunotherapy, gene therapy and transplantation [UMCN 1.4] ,Tissue engineering and pathology [NCMLS 3] ,medicine.disease ,Head and neck squamous-cell carcinoma ,Tumor microenvironment [UMCN 1.3] ,Lymph Nodes ,business ,Immunity, infection and tissue repair [NCMLS 1] - Abstract
Contains fulltext : 69631.pdf (Publisher’s version ) (Open Access) The objectives of this study were to investigate the effects of intratumorally (i.t.) administered recombinant human interleukin-12 (rhIL-12) on the distribution and function of B cells in the primary tumors, the locoregional lymph nodes and peripheral blood of head and neck squamous cell carcinoma (HNSCC) patients. The initial characterization of the patients participating in the phase Ib and phase II studies has previously been reported. After rhIL-12 treatment, fewer secondary follicles with a broader outer region of the mantle zones and an increase in interfollicular B-blasts were seen in the enlarged lymph nodes compared with control HNSCC patients. The size of the germinal center (GC) was diminished, partly due to a decrease in the number of CD57+ GC cells that have been associated with immune suppression. These changes did not correlate with signs of apoptosis or CXCR5 expression by B cells. Strikingly, in 3 out of 4 IL-12 treated patients, increased IFN-gamma mRNA expression by B cells was detected. In addition, a highly significant IgG subclass switch was seen in the plasma with more IgG1, less IgG2 and more IgG4, indicating a switch to T helper 1 phenotype. Finally, peritumoral B cell infiltration was a positive prognostic sign for overall survival in the 30 HNSCC patients investigated, irrespective of IL-12 treatment. In conclusion, these data indicate that after i.t. IL-12 treatment in HNSCC, significant activation of the B cell and the B cell compartment occurred and that the presence of tumor infiltrating B cells correlated with overall survival of HNSCC patients.
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- 2008
379. A different rhythm of life: sleep patterns in the first 4 years of life and associated sociodemographic characteristics in a large Brazilian birth cohort
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Netsi, Elena, primary, Santos, Ina S., additional, Stein, Alan, additional, Barros, Fernando C., additional, Barros, Aluísio J.D., additional, and Matijasevich, Alicia, additional
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- 2017
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380. Erratum: Corrigendum: Whole-genome sequencing identifies rare genotypes in COMP and CHADL associated with high risk of hip osteoarthritis
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Styrkarsdottir, Unnur, primary, Helgason, Hannes, additional, Sigurdsson, Asgeir, additional, Norddahl, Gudmundur L, additional, Agustsdottir, Arna B, additional, Reynard, Louise N, additional, Villalvilla, Amanda, additional, Halldorsson, Gisli H, additional, Jonasdottir, Aslaug, additional, Magnusdottir, Audur, additional, Oddson, Asmundur, additional, Sulem, Gerald, additional, Zink, Florian, additional, Sveinbjornsson, Gardar, additional, Helgason, Agnar, additional, Johannsdottir, Hrefna S, additional, Helgadottir, Anna, additional, Stefansson, Hreinn, additional, Gretarsdottir, Solveig, additional, Rafnar, Thorunn, additional, Almdahl, Ina S, additional, Brækhus, Anne, additional, Fladby, Tormod, additional, Selbæk, Geir, additional, Hosseinpanah, Farhad, additional, Azizi, Fereidoun, additional, Koh, Jung Min, additional, Tang, Nelson L S, additional, Danesphour, Maryams, additional, Mayordomo, Jose I, additional, Welt, Corrine, additional, Braund, Peter S, additional, Samani, Nilesh J, additional, Kiemeney, Lambertus A, additional, Lohmander, L Stefan, additional, Christiansen, Claus, additional, Andreassen, Ole A, additional, consortium, arcOGEN, additional, Magnusson, Olafur, additional, Masson, Gisli, additional, Kong, Augustine, additional, Jonsdottir, Ingileif, additional, Gudbjartsson, Daniel, additional, Sulem, Patrick, additional, Jonsson, Helgi, additional, Loughlin, John, additional, Ingvarsson, Thorvaldur, additional, Thorsteinsdottir, Unnur, additional, and Stefansson, Kari, additional
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- 2017
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381. First and Second Strings: Using Entity Analytics to Contrast Core and Supporting Teams
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Markham, Ina S., primary and Markham, Steven E., additional
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- 2017
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382. Caesarean section and adiposity at 6, 18 and 30 years of age: results from three Pelotas (Brazil) birth cohorts
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Barros, Aluisio J. D., primary, Santos, Leonardo Pozza, additional, Wehrmeister, Fernando, additional, Motta, Janaina Vieira dos Santos, additional, Matijasevich, Alicia, additional, Santos, Ina S., additional, Menezes, Ana M. B., additional, Gonçalves, Helen, additional, Assunção, Maria Cecília Formoso, additional, Horta, Bernardo L., additional, and Barros, Fernando C., additional
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- 2017
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383. Cerebrospinal Fluid Levels of Amyloid Beta 1-43 Mirror 1-42 in Relation to Imaging Biomarkers of Alzheimer’s Disease
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Almdahl, Ina S., primary, Lauridsen, Camilla, additional, Selnes, Per, additional, Kalheim, Lisa F., additional, Coello, Christopher, additional, Gajdzik, Beata, additional, Møller, Ina, additional, Wettergreen, Marianne, additional, Grambaite, Ramune, additional, Bjørnerud, Atle, additional, Bråthen, Geir, additional, Sando, Sigrid B., additional, White, Linda R., additional, and Fladby, Tormod, additional
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- 2017
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384. A review, analysis, and extension of peer-leader feedback agreement: Contrasting group aggregate agreement vs. self-other agreement using entity analytics and visualization
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Markham, Steven E., primary, Markham, Ina S., additional, and Smith, Janice Witt, additional
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- 2017
- Full Text
- View/download PDF
385. MMP-9, brain edema, and length of hospital stay of patients with spontaneous supratentorial intracerebral hemorrhage after hematoma evacuation along with the administration of tigecycline
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Saekhu, Mohamad, primary, Ibrahim, Nurhadi, additional, Timan, Ina S., additional, Madjid, Amir S., additional, Muttaqin, Zainal, additional, Ronokusumo, Teguh A.S., additional, Sastroasmoro, Sudigdo, additional, and Mahyuddin, Hilman, additional
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- 2017
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- View/download PDF
386. Optimization and adsorption kinetic studies of aqueous manganese ion removal using chitin extracted from shells of edible Philippine crabs
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Quimque, Mark Tristan J., primary, Jimenez, Marvin C., additional, Acas, Meg Ina S., additional, Indoc, Danrelle Keth L., additional, Gomez, Enjelyn C., additional, and Tabuñag, Jenny Syl D., additional
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- 2017
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387. Type I interferons augment regulatory T cell polarization in concert with ancillary cytokine signals
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Siawosh K. Eskandari, Hazim Allos, Jenelle M. Safadi, Ina Sulkaj, Jan S. F. Sanders, Paolo Cravedi, Irene M. Ghobrial, Stefan P. Berger, and Jamil R. Azzi
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type interferons ,interferon alpha ,interferon beta ,interleukin ,foxp regulatory t cells ,treg induction ,Specialties of internal medicine ,RC581-951 - Abstract
In the transplant community, research efforts exploring endogenous alternatives to inducing tolerogenic allo-specific immune responses are much needed. In this regard, CD4 + FoxP3+ regulatory T cells (Tregs) are appealing candidates due to their intrinsic natural immunosuppressive qualities. To date, various homeostatic factors that dictate Treg survival and fitness have been elucidated, particularly the non-redundant roles of antigenic CD3ζ/T-cell-receptor, co-stimulatory CD28, and cytokine interleukin (IL-)2 dependent signaling. Many of the additional biological signals that affect Tregs remain to be elucidated, however, especially in the transplant context. Previously, we demonstrated an unexpected link between type I interferons (IFNs) and Tregs in models of multiple myeloma (MM)—where MM plasmacytes escaped immunological surveillance by enhancing type I IFN signaling and precipitating upregulated Treg responses that could be overturned with specific knockdown of type I IFN signaling. Here, we elaborated on these findings by assessing the role of type I IFN signaling (IFN-α and -β) on Treg homeostasis within an alloimmune context. Specifically, we studied the induction of Tregs from naïve CD4 T cells. Using in vitro and in vivo models of murine skin allotransplantation, we found that type I IFN indeed spatiotemporally enhanced the polarization of naïve CD4 T cells into FoxP3+ Tregs. Notably, however, this effect was not independent of, and rather co-dependent on, ancillary cytokine signals including IL-2. These findings provide evidence for the relevance of type I IFN pathway in modulating FoxP3+ Treg responses and, by extension, stipulate an additional means of facilitating Treg fitness via type I IFNs.
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- 2023
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388. Understanding old herbal secrets: The renaissance of traditional medicinal plants beyond the twenty classic species?
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Marisa Milena Scherrer, Stefan Zerbe, Joshua Petelka, and Ina Säumel
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biocultural diversity ,cultural erosion ,cultural ecosystem services ,environmental education ,folk medicine ,nature conservation ,Therapeutics. Pharmacology ,RM1-950 - Abstract
The use of traditional medicinal plants plays an important role especially in remote rural and marginalized landscapes at different latitudes. In the development of nature conservation strategies based on local knowledge and sustainable resource management, medicinal herbs have been hypothesized to be cultural key stone species. Environmental education is a crucial driver for fostering environmental literacy and preserving local knowledge across generations. We conducted semi-structured interviews with stakeholders in the Autonomous Province of Bozen-South Tyrol (N Italy) to gain insights into, and reflections on, the cultural value of traditional medicinal plants and their interplay within the local landscape, nature conservation and their role in environmental education and knowledge transfer across generations. We also used a combination of purposive and snowball sampling to identify relevant actors. The different voices collected in the study clearly highlight the role of medicinal herbs in healthcare, for cultural identity of local communities and demonstrate a growing commercial market niche that maintains the local economy and services, including widespread offers related to environmental education, that have not, unfortunately, been used yet in the formal curricula of local schools. The latter is crucial for a holistic approach taking medicinal plants as an ideal vehicle to connect especially children with nature and history of South Tyrol, strengthening health education and overall environmental literacy, including species knowledge. However, the revival of herbal medicine and related knowledge do not prevent the continuous loss of local traditional knowledge regarding medicinal plants, recipes and use. More species and their uses are being forgotten due to superficialisation of knowledge and of mainstreaming and homogenization of the global market of herbal medicine. Safeguarding the natural and cultural treasures of South Tyrol for future generations is in the hands of the local communities.
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- 2023
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389. Quo vadis Patria Gaucha? Uruguayan pathways of land use change
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Ina Säumel, Jorge Alvarez, Leonardo R. Ramírez, and Marcos Barra
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afforestation ,agroindustry ,biodiversity ,cultural landscapes ,ecosystem services ,land grabbing ,Nutrition. Foods and food supply ,TX341-641 ,Food processing and manufacture ,TP368-456 - Abstract
South American grasslands, socio-ecological systems used heavily for a long time, are currently experiencing dramatic land-use changes due to implementation of large-scale afforestation and agro-industrial cash crops. Applying the conceptual framework of “Multifunctional and sustainable productive landscapes” to Uruguay, we explored the impacts on rural ecosystems and communities based on a long-term monitoring network by assessing species richness of plant and terrestrial arthropods and socio-economic data from national census. We found that silvi- and agricultural industry established mainly at the expense of extensively grazed grasslands and local family farms with traditional techniques, accompanied by a deregulation of the rural labor market, depopulation and aging of rural society. Governmental nature protection efforts increase the native forest cover and establish nature protection areas focusing mainly on forests. We also discuss pathways of land-use change in recent decades and related discourses of local stakeholders.
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- 2023
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390. Prevalence of cerebral amyloid pathology in persons without dementia: a meta-analysis
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Jansen, Willemijn J, Ossenkoppele, Rik, Knol, Dirk L, Tijms, Betty M, Scheltens, Philip, Verhey, Frans RJ, Visser, Pieter Jelle, Amyloid Biomarker Study Group, Aalten, Pauline, Aarsland, Dag, Alcolea, Daniel, Alexander, Myriam, Almdahl, Ina S, Arnold, Steven E, Baldeiras, Inês, Barthel, Henryk, van Berckel, Bart NM, Bibeau, Kristen, Blennow, Kaj, Brooks, David J, van Buchem, Mark A, Camus, Vincent, Cavedo, Enrica, Chen, Kewei, Chetelat, Gael, Cohen, Ann D, Drzezga, Alexander, Engelborghs, Sebastiaan, Fagan, Anne M, Fladby, Tormod, Fleisher, Adam S, van der Flier, Wiesje M, Ford, Lisa, Förster, Stefan, Fortea, Juan, Foskett, Nadia, Frederiksen, Kristian S, Freund-Levi, Yvonne, Frisoni, Giovanni B, Froelich, Lutz, Gabryelewicz, Tomasz, Gill, Kiran Dip, Gkatzima, Olymbia, Gómez-Tortosa, Estrella, Gordon, Mark Forrest, Grimmer, Timo, Hampel, Harald, Hausner, Lucrezia, Hellwig, Sabine, Herukka, Sanna-Kaisa, Hildebrandt, Helmut, Ishihara, Lianna, Ivanoiu, Adrian, Jagust, William J, Johannsen, Peter, Kandimalla, Ramesh, Kapaki, Elisabeth, Klimkowicz-Mrowiec, Aleksandra, Klunk, William E, Köhler, Sebastian, Koglin, Norman, Kornhuber, Johannes, Kramberger, Milica G, Van Laere, Koen, Landau, Susan M, Lee, Dong Young, de Leon, Mony, Lisetti, Viviana, Lleó, Alberto, Madsen, Karine, Maier, Wolfgang, Marcusson, Jan, Mattsson, Niklas, de Mendonça, Alexandre, Meulenbroek, Olga, Meyer, Philipp T, Mintun, Mark A, Mok, Vincent, Molinuevo, José Luis, Møllergård, Hanne M, Morris, John C, Mroczko, Barbara, Van der Mussele, Stefan, Na, Duk L, Newberg, Andrew, Nordberg, Agneta, Nordlund, Arto, Novak, Gerald P, Paraskevas, George P, Parnetti, Lucilla, Perera, Gayan, Peters, Oliver, Popp, Julius, Prabhakar, Sudesh, Rabinovici, Gil D, Ramakers, Inez HGB, Rami, Lorena, Resende de Oliveira, Catarina, and Rinne, Juha O
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Adult ,Male ,Aging ,Genotype ,Apolipoprotein E4 ,and over ,Neurodegenerative ,Alzheimer's Disease ,Medical and Health Sciences ,Risk Factors ,Clinical Research ,General & Internal Medicine ,mental disorders ,Prevalence ,80 and over ,Acquired Cognitive Impairment ,Genetics ,Humans ,2.1 Biological and endogenous factors ,Cognitive Dysfunction ,Aetiology ,Amyloid Biomarker Study Group ,Cerebrospinal Fluid ,Aged ,screening and diagnosis ,Amyloid beta-Peptides ,Prevention ,Age Factors ,Neurosciences ,Brain ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Middle Aged ,Brain Disorders ,Detection ,Positron-Emission Tomography ,Neurological ,Dementia ,Female ,Biomarkers ,4.2 Evaluation of markers and technologies - Abstract
ImportanceCerebral amyloid-β aggregation is an early pathological event in Alzheimer disease (AD), starting decades before dementia onset. Estimates of the prevalence of amyloid pathology in persons without dementia are needed to understand the development of AD and to design prevention studies.ObjectiveTo use individual participant data meta-analysis to estimate the prevalence of amyloid pathology as measured with biomarkers in participants with normal cognition, subjective cognitive impairment (SCI), or mild cognitive impairment (MCI).Data sourcesRelevant biomarker studies identified by searching studies published before April 2015 using the MEDLINE and Web of Science databases and through personal communication with investigators.Study selectionStudies were included if they provided individual participant data for participants without dementia and used an a priori defined cutoff for amyloid positivity.Data extraction and synthesisIndividual records were provided for 2914 participants with normal cognition, 697 with SCI, and 3972 with MCI aged 18 to 100 years from 55 studies.Main outcomes and measuresPrevalence of amyloid pathology on positron emission tomography or in cerebrospinal fluid according to AD risk factors (age, apolipoprotein E [APOE] genotype, sex, and education) estimated by generalized estimating equations.ResultsThe prevalence of amyloid pathology increased from age 50 to 90 years from 10% (95% CI, 8%-13%) to 44% (95% CI, 37%-51%) among participants with normal cognition; from 12% (95% CI, 8%-18%) to 43% (95% CI, 32%-55%) among patients with SCI; and from 27% (95% CI, 23%-32%) to 71% (95% CI, 66%-76%) among patients with MCI. APOE-ε4 carriers had 2 to 3 times higher prevalence estimates than noncarriers. The age at which 15% of the participants with normal cognition were amyloid positive was approximately 40 years for APOE ε4ε4 carriers, 50 years for ε2ε4 carriers, 55 years for ε3ε4 carriers, 65 years for ε3ε3 carriers, and 95 years for ε2ε3 carriers. Amyloid positivity was more common in highly educated participants but not associated with sex or biomarker modality.Conclusions and relevanceAmong persons without dementia, the prevalence of cerebral amyloid pathology as determined by positron emission tomography or cerebrospinal fluid findings was associated with age, APOE genotype, and presence of cognitive impairment. These findings suggest a 20- to 30-year interval between first development of amyloid positivity and onset of dementia.
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- 2015
391. Multiple Sclerosis Risk Allele in CLEC16A Acts as an Expression Quantitative Trait Locus for CLEC16A and SOCS1 in CD4+ T Cells
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Leikfoss, Ingvild S., Keshari, Pankaj K., Gustavsen, Marte W., Bjølgerud, Anja, Brorson, Ina S., Celius, Elisabeth G., Spurkland, Anne, Bos, Steffan D., Harbo, Hanne F., and Berge, Tone
- Subjects
Adult ,CD4-Positive T-Lymphocytes ,Multiple Sclerosis ,Monosaccharide Transport Proteins ,Quantitative Trait Loci ,lcsh:R ,lcsh:Medicine ,Suppressor of Cytokine Signaling Proteins ,Middle Aged ,Polymorphism, Single Nucleotide ,Young Adult ,Suppressor of Cytokine Signaling 1 Protein ,Risk Factors ,Case-Control Studies ,Humans ,Female ,Genetic Predisposition to Disease ,Lectins, C-Type ,lcsh:Q ,lcsh:Science ,Alleles ,Research Article ,Genome-Wide Association Study - Abstract
For multiple sclerosis, genome wide association studies and follow up studies have identified susceptibility single nucleotide polymorphisms located in or near CLEC16A at chromosome 16p13.13, encompassing among others CIITA, DEXI and SOCS1 in addition to CLEC16A. These genetic variants are located in intronic or intergenic regions and display strong linkage disequilibrium with each other, complicating the understanding of their functional contribution and the identification of the direct causal variant(s). Previous studies have shown that multiple sclerosis-associated risk variants in CLEC16A act as expression quantitative trait loci for CLEC16A itself in human pancreatic β-cells, for DEXI and SOCS1 in thymic tissue samples, and for DEXI in monocytes and lymphoblastoid cell lines. Since T cells are major players in multiple sclerosis pathogenesis, we have performed expression analyses of the CIITA-DEXI-CLEC16A-SOCS1 gene cluster in CD4+ and CD8+ T cells isolated from multiple sclerosis patients and healthy controls. We observed a higher expression of SOCS1 and CLEC16A in CD4+ T cells in samples homozygous for the risk allele of CLEC16A rs12927355. Pair-wise linear regression analysis revealed high correlation in gene expression in peripheral T cells of CIITA, DEXI, CLEC16A and SOCS1. Our data imply a possible regulatory role for the multiple sclerosis-associated rs12927355 in CLEC16A.
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- 2015
392. Prevalence of cerebral amyloid pathology in persons without dementia
- Author
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Jansen, Willemijn J., Ossenkoppele, Rik, Knol, Dirk L., Tijms, Betty M., Scheltens, Philip, Verhey, Frans R. J., Visser, Pieter Jelle, Aalten, Pauline, Aarsland, Dag, Alcolea, Daniel, Alexander, Myriam, Roe, Catherine M., Rot, Uros, Rowe, Christopher C., Rüther, Eckart, Sabri, Osama, Sanchez-Juan, Páscual, Santana, Isabel, Sarazin, Marie, Schröder, Johannes, Schütte, Christin, Almdahl, Ina S., Seo, Sang W., Soetewey, Femke, Soininen, Hilkka, Spiru, Luiza, Struyfs, Hanne, Teunissen, Charlotte E., Tsolaki, Magda, Vandenberghe, Rik, Verbeek, Marcel M., Villemagne, Victor L., Arnold, Steven E., Vos, Stephanie J. B., van Waalwijk van Doorn, Linda J. C., Waldemar, Gunhild, Wallin, Anders, Wallin, Åsa K., Wiltfang, Jens, Wolk, David A., Zboch, Marzena, Zetterberg, Henrik, Baldeiras, Inês, Barthel, Henryk, van Berckel, Bart N. M., Bibeau, Kristen, Blennow, Kaj, Brooks, David J., van Buchem, Mark A., Camus, Vincent, Cavedo, Enrica, Chen, Kewei, Chetelat, Gael, Cohen, Ann D., Drzezga, Alexander, Engelborghs, Sebastiaan, Fagan, Anne M., Fladby, Tormod, Fleisher, Adam S., van der Flier, Wiesje M., Ford, Lisa, Förster, Stefan, Fortea, Juan, Foskett, Nadia, Frederiksen, Kristian S., Freund-Levi, Yvonne, Frisoni, Giovanni B., Froelich, Lutz, Gabryelewicz, Tomasz, Gill, Kiran Dip, Gkatzima, Olymbia, Gómez-Tortosa, Estrella, Gordon, Mark Forrest, Grimmer, Timo, Hampel, Harald, Hausner, Lucrezia, Hellwig, Sabine, Herukka, Sanna-Kaisa, Hildebrandt, Helmut, Ishihara, Lianna, Ivanoiu, Adrian, Jagust, William J., Johannsen, Peter, Kandimalla, Ramesh, Kapaki, Elisabeth, Klimkowicz-Mrowiec, Aleksandra, Klunk, William E., Köhler, Sebastian, Koglin, Norman, Kornhuber, Johannes, Kramberger, Milica G., Van Laere, Koen, Landau, Susan M., Lee, Dong Young, de Leon, Mony, Lisetti, Viviana, Lleó, Alberto, Madsen, Karine, Maier, Wolfgang, Marcusson, Jan, Mattsson, Niklas, De Mendonça, Alexandre, Meulenbroek, Olga, Meyer, Philipp T., Mintun, Mark A., Mok, Vincent, Molinuevo, José Luis, Møllergård, Hanne M., Morris, John C., Mroczko, Barbara, Van der Mussele, Stefan, Na, Duk L., Newberg, Andrew, Nordberg, Agneta, Nordlund, Arto, Novak, Gerald P., Paraskevas, George P., Parnetti, Lucilla, Perera, Gayan, Peters, Oliver, Popp, Julius, Prabhakar, Sudesh, Rabinovici, Gil D., Ramakers, Inez H. G. B., Rami, Lorena, Resende de Oliveira, Catarina, Rinne, Juha O., Rodrigue, Karen M., Rodríguez-Rodríguez, Eloy, and Repositório da Universidade de Lisboa
- Abstract
Copyright © 2015 American Medical Association. All rights reserved., Importance: Cerebral amyloid-β aggregation is an early pathological event in Alzheimer disease (AD), starting decades before dementia onset. Estimates of the prevalence of amyloid pathology in persons without dementia are needed to understand the development of AD and to design prevention studies. Objective: To use individual participant data meta-analysis to estimate the prevalence of amyloid pathology as measured with biomarkers in participants with normal cognition, subjective cognitive impairment (SCI), or mild cognitive impairment (MCI). Data sources: Relevant biomarker studies identified by searching studies published before April 2015 using the MEDLINE and Web of Science databases and through personal communication with investigators. Study selection: Studies were included if they provided individual participant data for participants without dementia and used an a priori defined cutoff for amyloid positivity. Data extraction and synthesis: Individual records were provided for 2914 participants with normal cognition, 697 with SCI, and 3972 with MCI aged 18 to 100 years from 55 studies. Main outcomes and measures: Prevalence of amyloid pathology on positron emission tomography or in cerebrospinal fluid according to AD risk factors (age, apolipoprotein E [APOE] genotype, sex, and education) estimated by generalized estimating equations. Results: The prevalence of amyloid pathology increased from age 50 to 90 years from 10% (95% CI, 8%-13%) to 44% (95% CI, 37%-51%) among participants with normal cognition; from 12% (95% CI, 8%-18%) to 43% (95% CI, 32%-55%) among patients with SCI; and from 27% (95% CI, 23%-32%) to 71% (95% CI, 66%-76%) among patients with MCI. APOE-ε4 carriers had 2 to 3 times higher prevalence estimates than noncarriers. The age at which 15% of the participants with normal cognition were amyloid positive was approximately 40 years for APOE ε4ε4 carriers, 50 years for ε2ε4 carriers, 55 years for ε3ε4 carriers, 65 years for ε3ε3 carriers, and 95 years for ε2ε3 carriers. Amyloid positivity was more common in highly educated participants but not associated with sex or biomarker modality. Conclusions and relevance: Among persons without dementia, the prevalence of cerebral amyloid pathology as determined by positron emission tomography or cerebrospinal fluid findings was associated with age, APOE genotype, and presence of cognitive impairment. These findings suggest a 20- to 30-year interval between first development of amyloid positivity and onset of dementia., The research leading to these results has received support from the Innovative Medicines Initiative Joint Undertaking under EMIF grant agreement No. 115372, resources of which are composed of financial contribution from the European Union's Seventh Framework Programme (FP7/2007-2013) and EFPIA companies’ in-kind contribution. BIOMARKAPD is an EU Joint Programme–Neurodegenerative Disease Research (JPND) project. The project is supported through national funding organizations under the aegis of JPND (http://www.jpnd.eu). In the Netherlands, this is ZonMw. The DESCRIPA study was funded by the European Commission within the 5th framework program (QLRT-2001-2455). The EDAR study was funded by the European Commission as part of the 6th framework programme (contract No. 37670). This research was performed within the framework of the Center for Translational Molecular Medicine (CTTM) (http://www.ctmm.nl), project LeARN (grant 02N-101). The AIBL study was funded in part by the study partners (Australian Commonwealth Scientific Industrial and Research Organization [CSIRO], Edith Cowan University [ECU], Mental Health Research Institute [MHRI], Alzheimer’s Australia [AA], National Ageing Research Institute [NARI], Austin Health, CogState, Hollywood Private Hospital, Sir Charles Gardner Hospital). The study also received support from the National Health and Medical Research Council (NHMRC) and the Dementia Collaborative Research Centres program (DCRC2), as well as ongoing funding from the Science and Industry Endowment Fund (SIEF). Data collection and sharing for this project was funded by the Alzheimer’s Disease Neuroimaging Initiative (ADNI) (National Institutes of Health grant U01 AG024904) and the US Department of Defense ADNI (W81XWH-12-2-0012). ADNI is funded by the National Institute on Aging and the National Institute of Biomedical Imaging and Bioengineering and through generous contributions from the following: Alzheimer’s Association; Alzheimer’s Drug Discovery Foundation; BioClinica; Biogen Idec; Bristol-Myers Squibb Company; Eisai; Elan Pharmaceuticals; Eli Lilly; F. Hoffmann-La Roche and its affiliated company Genentech; GE Healthcare; Innogenetics; IXICO; Janssen Alzheimer Immunotherapy Research & Development; Johnson & Johnson Pharmaceutical Research & Development; Medpace; Merck; Meso Scale Diagnostics; NeuroRx Research; Novartis Pharmaceuticals; Pfizer; Piramal Imaging; Servier; Synarc; and Takeda Pharmaceutical. The Canadian Institutes of Health Research is providing funds to support ADNI clinical sites in Canada. Private sector contributions are facilitated by the Foundation for the National Institutes of Health (http://www.fnih.org). The grantee organization is the Northern California Institute for Research and Education, and the study is coordinated by the Alzheimer’s Disease Cooperative Study at the University of California, San Diego. ADNI data are disseminated by the Laboratory for Neuro Imaging at the University of Southern California. The Dementia Competence Network (DCN) has been supported by a grant from the German Federal Ministry of Education and Research (BMBF): Kompetenznetz Demenzen (01GI0420). Additional funding related to the randomized clinical trials came from Janssen-Cilag and Merz Pharmaceuticals. The latter funds were exclusively used for personnel, pharmaceuticals, blistering and shipment of medication, and monitoring and as capitation fees for recruiting centers. Funding source for the Chandigarh study is the Indian Council of Medical Research (ICMR), India. Funding for the St Louis contribution was provided by the National Institute on Aging (P50 AG005681, P01 AG003991, and P01 AG026276); Fred Simmons and Olga Mohan, and the Charles and Joanne Knight Alzheimer’s Research Initiative of the Washington University Knight Alzheimer’s Disease Research Center. The Tours study received financial support of the French Ministry of Health grant PHRC-N 2008 1004 and the EC-FP6-project DiMI, LSHB-CT-2005-512146. The Caen study was funded by Agence Nationale de la Recherche, Programme Hospitalier de Recherche Clinique, Région Basse Normandie, and Institut National de la Santé et de la Recherche Médicale (Inserm). The research leading to the Munich contribution to the Mattsson multicenter study has received funding from the program “Investissements d’avenir” (ANR-10-IAIHU-06). The study from Pittsburgh was supported by National Institutes of Health grants (P50 AG005133, R37 AG025516, P01 AG025204). The New York contributions to the Mattsson multicenter study were in part supported by P30 AG008051, R01 AG13616, R01 AG022374, and R01 AG12101. Data from Brescia in this article were collected by Translational Outpatient Memory Clinic (TOMC) working group at IRCCS Fatebenefratelli in Brescia, Italy. Contributors to the TOMC are G. Amicucci, S. Archetti, L. Benussi, G. Binetti, L. Bocchio-Chiavetto, C. Bonvicini, E. Canu, F. Caobelli, E. Cavedo, E. Chittò, M. Cotelli, M. Gennarelli, S. Galluzzi, C. Geroldi, R. Ghidoni, R. Giubbini, U. P. Guerra, G. Kuffenschin, G. Lussignoli, D. Moretti, B. Paghera, M. Parapini, C. Porteri, M. Romano, S. Rosini, I. Villa, R. Zanardini, and O. Zanetti. The JPND Project is supported in Italy by the Italian Ministry of Health. The assembling of the TU Munich data set was supported in part by the German research foundation (Deutsche Forschungsgemeinschaft) (HE 4560/1-2, DR 445/3-1 and DR 445/4-1 to A.D.), and by a KKF grant for clinical research of the Technische Universität München (to A.D. and T.G.). The Florbetaben phase 2 study from which data were derived for this multicenter evaluation was sponsored by Bayer Healthcare/Piramal Imaging (Berlin, Germany). This work was supported by the University of Antwerp Research Fund; the Alzheimer Research Foundation (SAO-FRA); the Research Foundation Flanders (FWO); the Agency for Innovation by Science and Technology (IWT); the Belgian Science Policy Office Interuniversity Attraction Poles (IAP) program; and the Flemish Government–initiated Methusalem excellence grant.
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- 2015
393. Scenario Analysis in Spreadsheets with Excel's Scenario Tool
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Susan W. Palocsay and Ina S. Markham
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Computer science ,business.industry ,Management Science and Operations Research ,Education ,Management Information Systems ,Business environment ,ComputingMilieux_COMPUTERSANDEDUCATION ,Relevance (information retrieval) ,Sensitivity (control systems) ,Scenario analysis ,Software engineering ,business ,Simulation ,Decision analysis - Abstract
“What-if” or sensitivity analysis is one of the most important and valuable concepts in management science (MS). To emphasize its practical relevance in a business environment, we teach students in our introductory MS course to analyze “scenarios” with Excel's built-in Scenario tool. This paper demonstrates the application of the Scenario tool with several examples.
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- 2006
394. Effects of dietary intake patterns from 1 to 4 years on BMI z-score and body shape at age of 6 years: a prospective birth cohort study from Brazil.
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Santos, Leonardo Pozza, Ong, Ken K., Santos, Ina S., Matijasevich, Alicia, and Barros, Aluísio J. D.
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ADIPOSE tissues ,BODY image ,BREAD ,BREAST milk ,COFFEE ,INGESTION ,LONGITUDINAL method ,REGRESSION analysis ,RICE ,SNACK foods ,SOYFOODS ,TORSO ,BODY mass index ,PHOTON absorptiometry ,CHILDREN - Abstract
Purpose: To assess the association between dietary intake patterns from 1 to 4 years and BMI and body shape at age of 6 years. Methods: This longitudinal study was based on 3374 Brazilian children from the 2004 Pelotas Birth Cohort Study. We used previously described dietary patterns from 1 to 4 years as the main exposure. We defined body shape using scores for corpulence (a recently described body shape component measured by Photonic Scanner), and trunk and gynoid fat mass percentage from DXA. We run linear regression models to evaluate the associations between dietary patterns from 1 to 4 years and BMI and body shape at 6 years. Results: Several apparent associations between dietary patterns and BMI or body shape were explained by sociodemographic factors. High adherence to snacks (positive loadings to coffee, bread and cookies) at 4 years predicted lower BMI, but higher gynoid fat mass percentage at 6 years, while higher adherence to staple at 2 years (positive loadings to rice and beans) predicted higher trunk fat mass and lower gynoid fat mass. Finally, higher scores on milks at 1 year (positive loading to breast milk) predicted higher gynoid fat mass at 6 years. Conclusion: There were inconsistent associations between dietary patterns in infancy and early childhood and BMI and body shape at 6 years. In adjusted analyses, higher adherence to breast milk at 1 year and to snacks at 4 years appeared to be beneficial for body shape, associated with lower BMI, but higher peripheral fat. [ABSTRACT FROM AUTHOR]
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- 2019
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395. No differential gene expression for CD4+ T cells of MS patients and healthy controls.
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Brorson, Ina S., Eriksson, Anna, Leikfoss, Ingvild S., Celius, Elisabeth G., Berg-Hansen, Pål, Barcellos, Lisa F., Berge, Tone, Harbo, Hanne F., and Bos, Steffan D.
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T cells ,GENE expression ,MULTIPLE sclerosis ,RNA sequencing ,IMMUNE system - Abstract
Background: Multiple sclerosis-associated genetic variants indicate that the adaptive immune system plays an important role in the risk of developing multiple sclerosis. It is currently not well understood how these multiple sclerosis-associated genetic variants contribute to multiple sclerosis risk. CD4
+ T cells are suggested to be involved in multiple sclerosis disease processes. Objective: We aim to identify CD4+ T cell differential gene expression between multiple sclerosis patients and healthy controls in order to understand better the role of these cells in multiple sclerosis. Methods: We applied RNA sequencing on CD4+ T cells from multiple sclerosis patients and healthy controls. Results: We did not identify significantly differentially expressed genes in CD4+ T cells from multiple sclerosis patients. Furthermore, pathway analyses did not identify enrichment for specific pathways in multiple sclerosis. When we investigated genes near multiple sclerosis-associated genetic variants, we did not observe significant enrichment of differentially expressed genes. Conclusion: We conclude that CD4+ T cells from multiple sclerosis patients do not show significant differential gene expression. Therefore, gene expression studies of all circulating CD4+ T cells may not result in viable biomarkers. Gene expression studies of more specific subsets of CD4+ T cells remain justified to understand better which CD4+ T cell subsets contribute to multiple sclerosis pathology. [ABSTRACT FROM AUTHOR]- Published
- 2019
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396. Cardiac Performance by Echocardiography, Cardiovascular Biomarker, Kidney Function, and Venous Oxygen Saturation as Mortality Predictors of Septic Shock.
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Rahasto, Pudjo, Setianto, Budhi, Timan, Ina S., Suhendro, Sukrisman, Lugyanti, Sukmawan, Renan, Sudaryo, Mondastri K., and Kabo, Peter
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- 2019
397. The right bug in the right place: opportunities for bacterial vaginosis treatment
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Shengru Wu, Luisa Warchavchik Hugerth, Ina Schuppe-Koistinen, and Juan Du
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Microbial ecology ,QR100-130 - Abstract
Abstract Bacterial vaginosis (BV) is a condition in which the vaginal microbiome presents an overgrowth of obligate and facultative anaerobes, which disturbs the vaginal microbiome balance. BV is a common and recurring vaginal infection among women of reproductive age and is associated with adverse health outcomes and a decreased quality of life. The current recommended first-line treatment for BV is antibiotics, despite the high recurrence rate. Live biopharmaceutical products/probiotics and vaginal microbiome transplantation (VMT) have also been tested in clinical trials for BV. In this review, we discuss the advantages and challenges of current BV treatments and interventions. Furthermore, we provide our understanding of why current clinical trials with probiotics have had mixed results, which is mainly due to not administering the correct bacteria to the correct body site. Here, we propose a great opportunity for large clinical trials with probiotic strains isolated from the vaginal tract (e.g., Lactobacillus crispatus) and administered directly into the vagina after pretreatment.
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- 2022
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398. The vaginal microbiome and the risk of preterm birth: a systematic review and network meta-analysis
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Unnur Gudnadottir, Justine W. Debelius, Juan Du, Luisa W. Hugerth, Hanna Danielsson, Ina Schuppe-Koistinen, Emma Fransson, and Nele Brusselaers
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Medicine ,Science - Abstract
Abstract Preterm birth is a major cause of neonatal morbidity and mortality worldwide. Increasing evidence links the vaginal microbiome to the risk of spontaneous preterm labour that leads to preterm birth. The aim of this systematic review and network meta-analysis was to investigate the association between the vaginal microbiome, defined as community state types (CSTs, i.e. dominance of specific lactobacilli spp, or not (low-lactobacilli)), and the risk of preterm birth. Systematic review using PubMed, Web of Science, Embase and Cochrane library was performed. Longitudinal studies using culture-independent methods categorizing the vaginal microbiome in at least three different CSTs to assess the risk of preterm birth were included. A (network) meta-analysis was conducted, presenting pooled odds ratios (OR) and 95% confidence intervals (CI); and weighted proportions and 95% CI. All 17 studies were published between 2014 and 2021 and included 38–539 pregnancies and 8–107 preterm births. Women presenting with “low-lactobacilli” vaginal microbiome were at increased risk (OR 1.69, 95% CI 1.15–2.49) for delivering preterm compared to Lactobacillus crispatus dominant women. Our network meta-analysis supports the microbiome being predictive of preterm birth, where low abundance of lactobacilli is associated with the highest risk, and L. crispatus dominance the lowest.
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- 2022
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399. Pendugaan Umur Simpan Sambal Gami Dikemas dalam Jar Polyethylene Terephthalate (PET)
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Ina Siti Nurminabari, Sumartini Sumartini, and Nadyne Kusumah
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pengawetan makanan ,penyimpanan ,stabilitas ,food preservation ,stability ,storage ,Agriculture (General) ,S1-972 ,Nutrition. Foods and food supply ,TX341-641 - Abstract
“Sambal gami” is a typical sauce from Bontang, East Kalimantan, but there has been no research estimating its shelf life. This study aimed to determine the rate of deterioration and estimate the shelf life of “sambal gami” using the Accelerated Shelf Life Testing method based on the Arrhenius approach. “Sambal” was packaged in a Polyethylene Terephthalate plastic jar and stored at 25°C, 30°C and 40°C. Parameters observed during storage Free Fatty Acid (FFA) levels and the number of microbes. The results showed the smallest activation energy value to activate the shelf life of sambal gami, the parameter of FFA levels, namely in the zero-order reaction with linear regression y = 0.3404x + 1.5304, R2 value = 0.9796, quality constant of 0.336 and has shelf life of 6 days at 25°C. Based on the parameters of the total number of microbes that occur in the first-order reaction, with linear regression y = 0.2491x + 7.9356, R2 value = 0.9854, the quality degradation constant is 0.263 and has a shelf life of 5 days at 25°C. The headspace obtained on the package is 40.8%. An excellent standard index for headspace is 10% of pack height.
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- 2022
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400. ENDORPHIN MASSAGE EFFECT ON BACK PAIN IN THIRD TRIMESTER PREGNANT WOMEN
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Miftahul Munir, Aris Puji Utami, Dwi Kurnia Purnama Sari, and Ina Sholikhatin
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Nursing ,RT1-120 ,Gynecology and obstetrics ,RG1-991 - Abstract
Background : Back pain during pregnancy was experienced by many women at certain times during their pregnancy, usually in the third trimester of pregnancy. Efforts to reduce pain can use pharmacological and non-pharmacological methods, by providing anti-pain drugs carried out by health workers and non-pharmacological methods can be done by health workers or families, one of which is endorphin massage therapy. The purpose of this study was to determine the effect of Endorphin Massage on back pain in third trimester pregnant women. Methods : This study used Pretest-Posttest Control Group design. Samples were taken from the population that met the inclusion criteria at PMB Faufatul Zuhriyah from June to August 2021 as many as 30 respondents with purposive sampling. The independent variable was Endorphin massage, while the dependent variable was back pain in third trimester pregnant women. Instrument using Endorphin massage technique checklist and questionnaire, visual analog scale (VAS). Results : the effect of endorphin massage on back pain in third trimester pregnant women with the Mann-Whitney test obtained a Z-count of -4.237 with a p-value of 0.000 (p-value
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- 2022
- Full Text
- View/download PDF
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