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101. Theory and operation principle of a HTS high Q resonant circuit

Author

Jian X. Jin, Chang M. Zhang, You G. Guo, and Jian G. Zhu

Subjects
High temperature superconductors -- Design and construction, Power electronics -- Research, Electric circuit analysis, Business, Electronics, Electronics and electrical industries
Abstract

Theoretical and operational analyses were used for evaluating a high-temperature superconductor (HTS) technology based high Q resonant circuit with a power electronic controller. Results suggested that the HTS based circuit is capable of high voltage generation and current control.

Published
2007

102. Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adults

Author

Hofer, E., Roshchupkin, G.V., Adams, H.H.H., Knol, M.J., Lin, H., Li, S., Zare, H., Ahmad, S., Armstrong, N.J., Satizabal, C.L., Bernard, M., Bis, J.C., Gillespie, N.A., Luciano, M., Mishra, A., Scholz, M., Teumer, A., Xia, R., Jian, X., Mosley, T.H., Saba, Y., Pirpamer, L., Seiler, S., Becker, J.T., Carmichael, O., Rotter, J.I., Psaty, B.M., Lopez, O.L., Amin, N., van der Lee, S.J., Yang, Q., Himali, J.J., Maillard, P., Beiser, A.S., DeCarli, C., Karama, S., Lewis, L., Harris, M., Bastin, M.E., Deary, I.J., Veronica Witte, A., Beyer, F., Loeffler, M., Mather, K.A., Schofield, P.R., Thalamuthu, A., Kwok, J.B., Wright, M.J., Ames, D., Trollor, J., Jiang, J., Brodaty, H., Wen, W., Vernooij, M.W., Hofman, A., Uitterlinden, A.G., Niessen, W.J., Wittfeld, K., Bülow, R., Völker, U., Pausova, Z., Bruce Pike, G., Maingault, S., Crivello, F., Tzourio, C., Amouyel, P., Mazoyer, B., Neale, M.C., Franz, C.E., Lyons, M.J., Panizzon, M.S., Andreassen, O.A., Dale, A.M., Logue, M.A., Grasby, K.L., Jahanshad, N., Painter, J.N., Colodro-Conde, L., Bralten, J., Hibar, D.P., Lind, P.A., Pizzagalli, F., Stein, J.L., Thompson, P.M., Medland, S.E., Sachdev, P.S., Kremen, W.S., Wardlaw, J.M., Villringer, A., van Duijn, C.M., Grabe, H.J., Longstreth, W.T., Fornage, M., Paus, T., Debette, S., Arfan Ikram, M., Schmidt, H., Schmidt, R., Seshadri, S., Hofer, E., Roshchupkin, G.V., Adams, H.H.H., Knol, M.J., Lin, H., Li, S., Zare, H., Ahmad, S., Armstrong, N.J., Satizabal, C.L., Bernard, M., Bis, J.C., Gillespie, N.A., Luciano, M., Mishra, A., Scholz, M., Teumer, A., Xia, R., Jian, X., Mosley, T.H., Saba, Y., Pirpamer, L., Seiler, S., Becker, J.T., Carmichael, O., Rotter, J.I., Psaty, B.M., Lopez, O.L., Amin, N., van der Lee, S.J., Yang, Q., Himali, J.J., Maillard, P., Beiser, A.S., DeCarli, C., Karama, S., Lewis, L., Harris, M., Bastin, M.E., Deary, I.J., Veronica Witte, A., Beyer, F., Loeffler, M., Mather, K.A., Schofield, P.R., Thalamuthu, A., Kwok, J.B., Wright, M.J., Ames, D., Trollor, J., Jiang, J., Brodaty, H., Wen, W., Vernooij, M.W., Hofman, A., Uitterlinden, A.G., Niessen, W.J., Wittfeld, K., Bülow, R., Völker, U., Pausova, Z., Bruce Pike, G., Maingault, S., Crivello, F., Tzourio, C., Amouyel, P., Mazoyer, B., Neale, M.C., Franz, C.E., Lyons, M.J., Panizzon, M.S., Andreassen, O.A., Dale, A.M., Logue, M.A., Grasby, K.L., Jahanshad, N., Painter, J.N., Colodro-Conde, L., Bralten, J., Hibar, D.P., Lind, P.A., Pizzagalli, F., Stein, J.L., Thompson, P.M., Medland, S.E., Sachdev, P.S., Kremen, W.S., Wardlaw, J.M., Villringer, A., van Duijn, C.M., Grabe, H.J., Longstreth, W.T., Fornage, M., Paus, T., Debette, S., Arfan Ikram, M., Schmidt, H., Schmidt, R., and Seshadri, S.

Abstract

Cortical thickness, surface area and volumes vary with age and cognitive function, and in neurological and psychiatric diseases. Here we report heritability, genetic correlations and genome-wide associations of these cortical measures across the whole cortex, and in 34 anatomically predefined regions. Our discovery sample comprises 22,824 individuals from 20 cohorts within the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium and the UK Biobank. We identify genetic heterogeneity between cortical measures and brain regions, and 160 genome-wide significant associations pointing to wnt/β-catenin, TGF-β and sonic hedgehog pathways. There is enrichment for genes involved in anthropometric traits, hindbrain development, vascular and neurodegenerative disease and psychiatric conditions. These data are a rich resource for studies of the biological mechanisms behind cortical development and aging.

Published
2020

103. Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adults

Author

Hofer, E, Roshchupkin, GV, Adams, HHH, Knol, MJ, Lin, H, Li, S, Zare, H, Ahmad, S, Armstrong, NJ, Satizabal, CL, Bernard, M, Bis, JC, Gillespie, NA, Luciano, M, Mishra, A, Scholz, M, Teumer, A, Xia, R, Jian, X, Mosley, TH, Saba, Y, Pirpamer, L, Seiler, S, Becker, JT, Carmichael, O, Rotter, JI, Psaty, BM, Lopez, OL, Amin, N, van der Lee, SJ, Yang, Q, Himali, JJ, Maillard, P, Beiser, AS, Decarli, C, Karama, S, Lewis, L, Harris, M, Bastin, ME, Deary, IJ, Witte, AV, Beyer, F, Loeffler, M, Mather, KA, Schofield, PR, Thalamuthu, A, Kwok, JB, Wright, MJ, Ames, D, Trollor, J, Jiang, J, Brodaty, H, Wen, W, Vernooij, MW, Hofman, A, Uitterlinden, AG, Niessen, WJ, Wittfeld, K, Bülow, R, Völker, U, Pausova, Z, Pike, GB, Maingault, S, Crivello, F, Tzourio, C, Amouyel, P, Mazoyer, B, Neale, MC, Franz, CE, Lyons, MJ, Panizzon, MS, Andreassen, OA, Dale, AM, Logue, M, Grasby, KL, Jahanshad, N, Painter, JN, Colodro-Conde, L, Bralten, J, Hibar, DP, Lind, PA, Pizzagalli, F, Stein, JL, Thompson, PM, Medland, SE, Sachdev, PS, Kremen, WS, Wardlaw, JM, Villringer, A, van Duijn, CM, Grabe, HJ, Longstreth, WT, Fornage, M, Paus, T, Debette, S, Ikram, MA, Schmidt, H, Schmidt, R, Seshadri, S, Ching, CRK, Hofer, E, Roshchupkin, GV, Adams, HHH, Knol, MJ, Lin, H, Li, S, Zare, H, Ahmad, S, Armstrong, NJ, Satizabal, CL, Bernard, M, Bis, JC, Gillespie, NA, Luciano, M, Mishra, A, Scholz, M, Teumer, A, Xia, R, Jian, X, Mosley, TH, Saba, Y, Pirpamer, L, Seiler, S, Becker, JT, Carmichael, O, Rotter, JI, Psaty, BM, Lopez, OL, Amin, N, van der Lee, SJ, Yang, Q, Himali, JJ, Maillard, P, Beiser, AS, Decarli, C, Karama, S, Lewis, L, Harris, M, Bastin, ME, Deary, IJ, Witte, AV, Beyer, F, Loeffler, M, Mather, KA, Schofield, PR, Thalamuthu, A, Kwok, JB, Wright, MJ, Ames, D, Trollor, J, Jiang, J, Brodaty, H, Wen, W, Vernooij, MW, Hofman, A, Uitterlinden, AG, Niessen, WJ, Wittfeld, K, Bülow, R, Völker, U, Pausova, Z, Pike, GB, Maingault, S, Crivello, F, Tzourio, C, Amouyel, P, Mazoyer, B, Neale, MC, Franz, CE, Lyons, MJ, Panizzon, MS, Andreassen, OA, Dale, AM, Logue, M, Grasby, KL, Jahanshad, N, Painter, JN, Colodro-Conde, L, Bralten, J, Hibar, DP, Lind, PA, Pizzagalli, F, Stein, JL, Thompson, PM, Medland, SE, Sachdev, PS, Kremen, WS, Wardlaw, JM, Villringer, A, van Duijn, CM, Grabe, HJ, Longstreth, WT, Fornage, M, Paus, T, Debette, S, Ikram, MA, Schmidt, H, Schmidt, R, Seshadri, S, and Ching, CRK

Abstract

Cortical thickness, surface area and volumes vary with age and cognitive function, and in neurological and psychiatric diseases. Here we report heritability, genetic correlations and genome-wide associations of these cortical measures across the whole cortex, and in 34 anatomically predefined regions. Our discovery sample comprises 22,824 individuals from 20 cohorts within the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium and the UK Biobank. We identify genetic heterogeneity between cortical measures and brain regions, and 160 genome-wide significant associations pointing to wnt/β-catenin, TGF-β and sonic hedgehog pathways. There is enrichment for genes involved in anthropometric traits, hindbrain development, vascular and neurodegenerative disease and psychiatric conditions. These data are a rich resource for studies of the biological mechanisms behind cortical development and aging.

Published
2020

104. Cerebral small vessel disease genomics and its implications across the lifespan

Author

Sargurupremraj, M. (Muralidharan), Suzuki, H. (Hideaki), Jian, X. (Xueqiu), Sarnowski, C., Evans, T.E (Tavia), Bis, J.C. (Joshua), Eiriksdottir, G. (Gudny), Sakaue, S. (Saori), Terzikhan, N. (Natalie), Habes, M. (Mohamad), Zhao, W. (Wei), Armstrong, N.J. (Nicola J.), Hofer, E. (Edith), Yanek, L.R. (Lisa), Hagenaars, S.P. (Saskia P.), Kumar, R.B. (Rajan B.), Akker, E.B. (Erik) van den, McWhirter, R.E. (Rebekah E.), Trompet, S. (Stella), Mishra, A. (Aniket), Saba, Y. (Yasaman), Satizabal, C.L. (Claudia), Beaudet, G. (Gregory), Petit, L. (Laurent), Tsuchida, A. (Ami), Zago, L. (Laure), Schilling, S. (Sabrina), Sigurdsson, S. (Stefan), Gottesman, R.F. (Rebecca), Lewis, C.E. (Cora E.), Aggarwal, N.T. (Neelum T.), Lopez, O.L. (Oscar), Smith, J.A. (Jennifer A), Valdés Hernández, M.C. (Maria C.), van der Grond, J. (Jeroen), Wright, M.J. (Margaret), Knol, M.J. (Maria J.), Dörr, M. (Marcus), Thomson, R. (Russell), Bordes, C. (Constance), Le Grand, Q. (Quentin), Duperron, M.-G. (Marie-Gabrielle), Smith, A.V. (Albert), Knopman, D.S. (David), Schreiner, P.J. (Pamela), Evans, D.A. (Denis A.), Rotter, J.I. (Jerome I.), Beiser, A. (Alexa), Maniega, S.M. (Susana Muñoz), Beekman, M. (Marian), Trollor, J., Stott, D.J. (David. J.), Vernooij, M.W. (Meike), Wittfeld, K. (Katharina), Niessen, W.J. (Wiro), Soumaré, A. (Aicha), Boerwinkle, E.A. (Eric), Sidney, S. (Stephen), Turner, S.T. (Stephen), Davies, G. (Gail), Thalamuthu, A. (Anbupalam), Völker, U. (Uwe), Buchem, M.A. (Mark) van, Bryan, R.N. (R. Nick), Amin, N. (Najaf), Bastin, M.E. (Mark), Ames, D.J. (David), Teumer, A. (Alexander), Amouyel, P. (Philippe), Kwok, J.B. (John B.), Bülow, R. (Robin), Deary, I.J. (Ian), Schofield, P.R. (Peter R.), Brodaty, H. (Henry), Jiang, J. (Jiyang), Tabara, Y. (Yasuharu), Setoh, K. (Kazuya), Miyamoto, S. (Susumu), Yoshida, K. (Kazumichi), Nagata, M. (Manabu), Kamatani, Y. (Yoichiro), Matsuda, F. (Fumihiko), Psaty, B.M. (Bruce), Bennett, D.A. (David), De Jager, P., Mosley, T.H. (Thomas H.), Sachdev, P.S. (Perminder), Schmidt, R. (Reinhold), Warren, H. (Helen), Evangelou, E. (Evangelos), Trégouët, D.-A. (David-Alexandre), Andrade, M. (Mariza) de, Basu, S. (Saonli), Berr, C. (Claudine), Brody, J.A. (Jennifer A.), Chasman, D.I. (Daniel I.), Dartigues, J.-F., Folsom, A.R. (Aaron), Germain, M. (Marine), de Haan, H. (Hugoline), Heit, J.A. (John), Houwing-Duitermaat, J. (Jeanine), Kabrhel, C. (Christopher), Kraft, P. (Peter), Legal, G. (Grégoire), Lindström, S. (Sara), Monajemi, R. (Ramin), Morange, P.-E. (P.), Psaty, B.M. (Bruce M.), Reitsma, P.H. (Pieter H.), Jarvelin, M.-R. (Marjo-Riitta), Rose, L.M. (Lynda M.), Peyvandi, F. (Flora), Saut, N. (Noemie), Slagboom, E. (Eline), Smadja, D. (David), Smith, N.L. (Nicholas L.), Suchon, P. (Pierre), Tang, W. (Weihong), Taylor, K.D. (Kent D.), Tregouet, D.-A. (David-Alexandre), Tzourio, C. (Christophe), Visser, M.C.H. (Marieke) de, Hylckama Vlieg, A. (Astrid) van, Weng, L.-C., Wiggins, K.L. (Kerri L.), Gormley, A.M., Anttila, V. (Verneri), Winsvold, B.S. (Bendik S.), Palta, P. (Priit), Esko, T. (Tõnu), Pers, T.H. (Tune H.), Farh, K.-H. (Kai-How), Cuenca-Leon, E. (Ester), Muona, M. (Mikko), Furlotte, N.A. (Nicholas A.), Kurth, T. (Tobias), Ingason, A. (Andres), McMahon, G. (George), Ligthart, L. (Lannie), Terwindt, G.M. (Gisela M.), Todt, U. (Unda), Freilinger, T.M. (Tobias M.), Ran, C. (Caroline), Gordon, S.G. (Scott G.), Stam, A.H. (Anine), Steinberg, S. (Stacy), Borck, G. (Guntram), Koiranen, M. (Markku), Quaye, L. (Lydia), Adams, H.H.H. (Hieab H. H.), Lehtimäki, T. (Terho), Sarin, A.-P., Wedenoja, J. (Juho), Hinds, D.A. (David A.), Buring, J.E. (Julie), Schürks, M. (Markus), Ridker, P.M. (Paul M.), Gudlaug Hrafnsdottir, M. (Maria), Stefansson, H. (Hreinn), Ring, S.M. (Susan M.), Hottenga, J.J. (Jouke Jan), Penninx, B.W.J.H. (Brenda), Färkkilä, M. (Markus), Artto, V. (Ville), Kaunisto, M.A. (Mari), Vepsäläinen, S. (Salli), Malik, R. (Rainer), Heath, A.C. (Andrew), Madden, P.A.F. (Pamela A. F.), Martin, N.G. (Nicholas), Montgomery, G.W. (Grant), Kurki, M. (Mitja), Kals, M. (Mart), Mägi, R. (Reedik), Pärn, K. (Kalle), Hämäläinen, E. (Eija), Huang, H. (Hailiang), Byrnes, A.E. (Andrea E.), Franke, L. (Lude), Huang, J. (Jie), Stergiakouli, E. (Evie), Lee, P.H. (Phil H.), Sandor, C. (Cynthia), Webber, C. (Caleb), Cader, Z. (Zameel), Müller-Myhsok, B. (B.), Schreiber, S. (Stefan), Meitinger, T. (Thomas), Hagen, K. (Knut), Salomaa, V. (Veikko), Heikkilä, K. (Kauko), Loehrer, E. (Elizabeth), Uitterlinden, A.G. (André), Hofman, A. (Albert), Duijn, C.M. (Cornelia) van, Cherkas, L. (Lynn), Pedersen, L.M. (Linda M.), Stubhaug, A. (Audun), Nielsen, C.S. (Christopher S.), Männikkö, M. (Minna), Mihailov, E. (Evelin), Milani, L. (Lili), Esserlind, A.-L. (Ann-Louise), Francke Christensen, A. (Anne), Folkmann Hansen, T. (Thomas), Werge, T. (Thomas), Kaprio, J. (Jaakko), Aromaa, A. (Arpo), Raitakari, O. (Olli), Ikram, M.A. (M. Arfan), Spector, T.D. (Timothy), Järvelin, M.-R. (Marjo-Riitta), Metspalu, A. (Andres), Kubisch, C. (Christian), Beckmann, J.S. (Jacques), Ferrari, M.D. (Michel), Belin, A.C. (Andrea C.), Wessman, M. (Maija), van den Maagdenberg, A.M.J.M. (Arn M. J. M.), Zwart, J-A. (John-Anker), Boomsma, D.I. (Dorret), Davey Smith, G. (George), Eriksson, N. (Nicholas), Daly, M.J. (Mark), Neale, B.M. (Benjamin), Olesen, J. (Jes), Chasman, D.I. (Daniel), Nyholt, D.R. (Dale), Palotie, A. (Aarno), Ikram, M.A. (Arfan), Wen, W. (Wei), DeCarli, C. (Charles), Srikanth, V. (Velandai), Jukema, J.W. (Jan Wouter), Slagboom, P.E. (Eline), Kardia, S.L.R. (Sharon), Okada, Y. (Yukinori), Mazoyer, B. (Bernard), Wardlaw, J.M. (J.), Nyquist, P. (Paul), Mather, R., Grabe, H.J. (Hans Jörgen), Schmidt, H. (Helena), Van Duijn, C.M. (Cornelia M.), Gudnason, V. (Vilmundur), Longstreth Jr, W.T., Launer, L.J. (Lenore), Lathrop, M. (Mark), Seshadri, S. (Sudha), Adams, H.H.H. (Hieab), Matthews, P.M. (P.), Fornage, M. (Myriam), Debette, S. (Stéphanie), Sargurupremraj, M. (Muralidharan), Suzuki, H. (Hideaki), Jian, X. (Xueqiu), Sarnowski, C., Evans, T.E (Tavia), Bis, J.C. (Joshua), Eiriksdottir, G. (Gudny), Sakaue, S. (Saori), Terzikhan, N. (Natalie), Habes, M. (Mohamad), Zhao, W. (Wei), Armstrong, N.J. (Nicola J.), Hofer, E. (Edith), Yanek, L.R. (Lisa), Hagenaars, S.P. (Saskia P.), Kumar, R.B. (Rajan B.), Akker, E.B. (Erik) van den, McWhirter, R.E. (Rebekah E.), Trompet, S. (Stella), Mishra, A. (Aniket), Saba, Y. (Yasaman), Satizabal, C.L. (Claudia), Beaudet, G. (Gregory), Petit, L. (Laurent), Tsuchida, A. (Ami), Zago, L. (Laure), Schilling, S. (Sabrina), Sigurdsson, S. (Stefan), Gottesman, R.F. (Rebecca), Lewis, C.E. (Cora E.), Aggarwal, N.T. (Neelum T.), Lopez, O.L. (Oscar), Smith, J.A. (Jennifer A), Valdés Hernández, M.C. (Maria C.), van der Grond, J. (Jeroen), Wright, M.J. (Margaret), Knol, M.J. (Maria J.), Dörr, M. (Marcus), Thomson, R. (Russell), Bordes, C. (Constance), Le Grand, Q. (Quentin), Duperron, M.-G. (Marie-Gabrielle), Smith, A.V. (Albert), Knopman, D.S. (David), Schreiner, P.J. (Pamela), Evans, D.A. (Denis A.), Rotter, J.I. (Jerome I.), Beiser, A. (Alexa), Maniega, S.M. (Susana Muñoz), Beekman, M. (Marian), Trollor, J., Stott, D.J. (David. J.), Vernooij, M.W. (Meike), Wittfeld, K. (Katharina), Niessen, W.J. (Wiro), Soumaré, A. (Aicha), Boerwinkle, E.A. (Eric), Sidney, S. (Stephen), Turner, S.T. (Stephen), Davies, G. (Gail), Thalamuthu, A. (Anbupalam), Völker, U. (Uwe), Buchem, M.A. (Mark) van, Bryan, R.N. (R. Nick), Amin, N. (Najaf), Bastin, M.E. (Mark), Ames, D.J. (David), Teumer, A. (Alexander), Amouyel, P. (Philippe), Kwok, J.B. (John B.), Bülow, R. (Robin), Deary, I.J. (Ian), Schofield, P.R. (Peter R.), Brodaty, H. (Henry), Jiang, J. (Jiyang), Tabara, Y. (Yasuharu), Setoh, K. (Kazuya), Miyamoto, S. (Susumu), Yoshida, K. (Kazumichi), Nagata, M. (Manabu), Kamatani, Y. (Yoichiro), Matsuda, F. (Fumihiko), Psaty, B.M. (Bruce), Bennett, D.A. (David), De Jager, P., Mosley, T.H. (Thomas H.), Sachdev, P.S. (Perminder), Schmidt, R. (Reinhold), Warren, H. (Helen), Evangelou, E. (Evangelos), Trégouët, D.-A. (David-Alexandre), Andrade, M. (Mariza) de, Basu, S. (Saonli), Berr, C. (Claudine), Brody, J.A. (Jennifer A.), Chasman, D.I. (Daniel I.), Dartigues, J.-F., Folsom, A.R. (Aaron), Germain, M. (Marine), de Haan, H. (Hugoline), Heit, J.A. (John), Houwing-Duitermaat, J. (Jeanine), Kabrhel, C. (Christopher), Kraft, P. (Peter), Legal, G. (Grégoire), Lindström, S. (Sara), Monajemi, R. (Ramin), Morange, P.-E. (P.), Psaty, B.M. (Bruce M.), Reitsma, P.H. (Pieter H.), Jarvelin, M.-R. (Marjo-Riitta), Rose, L.M. (Lynda M.), Peyvandi, F. (Flora), Saut, N. (Noemie), Slagboom, E. (Eline), Smadja, D. (David), Smith, N.L. (Nicholas L.), Suchon, P. (Pierre), Tang, W. (Weihong), Taylor, K.D. (Kent D.), Tregouet, D.-A. (David-Alexandre), Tzourio, C. (Christophe), Visser, M.C.H. (Marieke) de, Hylckama Vlieg, A. (Astrid) van, Weng, L.-C., Wiggins, K.L. (Kerri L.), Gormley, A.M., Anttila, V. (Verneri), Winsvold, B.S. (Bendik S.), Palta, P. (Priit), Esko, T. (Tõnu), Pers, T.H. (Tune H.), Farh, K.-H. (Kai-How), Cuenca-Leon, E. (Ester), Muona, M. (Mikko), Furlotte, N.A. (Nicholas A.), Kurth, T. (Tobias), Ingason, A. (Andres), McMahon, G. (George), Ligthart, L. (Lannie), Terwindt, G.M. (Gisela M.), Todt, U. (Unda), Freilinger, T.M. (Tobias M.), Ran, C. (Caroline), Gordon, S.G. (Scott G.), Stam, A.H. (Anine), Steinberg, S. (Stacy), Borck, G. (Guntram), Koiranen, M. (Markku), Quaye, L. (Lydia), Adams, H.H.H. (Hieab H. H.), Lehtimäki, T. (Terho), Sarin, A.-P., Wedenoja, J. (Juho), Hinds, D.A. (David A.), Buring, J.E. (Julie), Schürks, M. (Markus), Ridker, P.M. (Paul M.), Gudlaug Hrafnsdottir, M. (Maria), Stefansson, H. (Hreinn), Ring, S.M. (Susan M.), Hottenga, J.J. (Jouke Jan), Penninx, B.W.J.H. (Brenda), Färkkilä, M. (Markus), Artto, V. (Ville), Kaunisto, M.A. (Mari), Vepsäläinen, S. (Salli), Malik, R. (Rainer), Heath, A.C. (Andrew), Madden, P.A.F. (Pamela A. F.), Martin, N.G. (Nicholas), Montgomery, G.W. (Grant), Kurki, M. (Mitja), Kals, M. (Mart), Mägi, R. (Reedik), Pärn, K. (Kalle), Hämäläinen, E. (Eija), Huang, H. (Hailiang), Byrnes, A.E. (Andrea E.), Franke, L. (Lude), Huang, J. (Jie), Stergiakouli, E. (Evie), Lee, P.H. (Phil H.), Sandor, C. (Cynthia), Webber, C. (Caleb), Cader, Z. (Zameel), Müller-Myhsok, B. (B.), Schreiber, S. (Stefan), Meitinger, T. (Thomas), Hagen, K. (Knut), Salomaa, V. (Veikko), Heikkilä, K. (Kauko), Loehrer, E. (Elizabeth), Uitterlinden, A.G. (André), Hofman, A. (Albert), Duijn, C.M. (Cornelia) van, Cherkas, L. (Lynn), Pedersen, L.M. (Linda M.), Stubhaug, A. (Audun), Nielsen, C.S. (Christopher S.), Männikkö, M. (Minna), Mihailov, E. (Evelin), Milani, L. (Lili), Esserlind, A.-L. (Ann-Louise), Francke Christensen, A. (Anne), Folkmann Hansen, T. (Thomas), Werge, T. (Thomas), Kaprio, J. (Jaakko), Aromaa, A. (Arpo), Raitakari, O. (Olli), Ikram, M.A. (M. Arfan), Spector, T.D. (Timothy), Järvelin, M.-R. (Marjo-Riitta), Metspalu, A. (Andres), Kubisch, C. (Christian), Beckmann, J.S. (Jacques), Ferrari, M.D. (Michel), Belin, A.C. (Andrea C.), Wessman, M. (Maija), van den Maagdenberg, A.M.J.M. (Arn M. J. M.), Zwart, J-A. (John-Anker), Boomsma, D.I. (Dorret), Davey Smith, G. (George), Eriksson, N. (Nicholas), Daly, M.J. (Mark), Neale, B.M. (Benjamin), Olesen, J. (Jes), Chasman, D.I. (Daniel), Nyholt, D.R. (Dale), Palotie, A. (Aarno), Ikram, M.A. (Arfan), Wen, W. (Wei), DeCarli, C. (Charles), Srikanth, V. (Velandai), Jukema, J.W. (Jan Wouter), Slagboom, P.E. (Eline), Kardia, S.L.R. (Sharon), Okada, Y. (Yukinori), Mazoyer, B. (Bernard), Wardlaw, J.M. (J.), Nyquist, P. (Paul), Mather, R., Grabe, H.J. (Hans Jörgen), Schmidt, H. (Helena), Van Duijn, C.M. (Cornelia M.), Gudnason, V. (Vilmundur), Longstreth Jr, W.T., Launer, L.J. (Lenore), Lathrop, M. (Mark), Seshadri, S. (Sudha), Adams, H.H.H. (Hieab), Matthews, P.M. (P.), Fornage, M. (Myriam), and Debette, S. (Stéphanie)

Abstract

White matter hyperintensities (WMH) are the most common brain-imaging feature of cerebral small vessel disease (SVD), hypertension being the main known risk factor. Here, we identify 27 genome-wide loci for WMH-volume in a cohort of 50,970 older individuals, accounting for modification/confounding by hypertension. Aggregated WMH risk variants were associated with altered white matter integrity (p = 2.5×10-7) in brain images from 1,738 young healthy adults, providing insight into the lifetime impact of SVD genetic risk. Mendelian randomization suggested causal association of increasing WMH-volume with stroke, Alzheimer-type dementia, and of increasing blood pressure (BP) with larger WMH-volume, notably also in persons without clinical hypertension. Transcriptome-wide colocalization analyses showed association of WMH-volume with expression of 39 genes, of which four encode known drug targets. Finally, we provide insight into BP-independent biological pathways underlying SVD and suggest potential for genetic stratification of high-risk individuals and for genetically-informed prioritization of drug targets for prevention trials.

Published
2020
Full Text
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105. Cerebral small vessel disease genomics and its implications across the lifespan

Author

Sargurupremraj, M., Suzuki, H., Jian, X., Sarnowski, C., Evans, T.E., Bis, J.C., Eiriksdottir, G., Sakaue, S., Terzikhan, N., Habes, M., Zhao, W., Armstrong, N.J., Hofer, E., Yanek, L.R., Hagenaars, S.P., Kumar, R.B., van den Akker, E.B., McWhirter, R.E., Trompet, S., Mishra, A., Saba, Y., Satizabal, C.L., Beaudet, G., Petit, L., Tsuchida, A., Zago, L., Schilling, S., Sigurdsson, S., Gottesman, R.F., Lewis, C.E., Aggarwal, N.T., Lopez, O.L., Smith, J.A., Valdés Hernández, M.C., Van der Grond, J., Wright, M.J., Knol, M.J., Dörr, M., Thomson, R.J., Bordes, C., Le Grand, Q., Duperron, M-G, Smith, A.V., Knopman, D.S., Schreiner, P.J., Evans, D.A., Rotter, J.I., Beiser, A.S., Maniega, S.M., Beekman, M., Trollor, J., Stott, D.J., Vernooij, M.W., Wittfeld, K., Niessen, W.J., Soumaré, A., Boerwinkle, E., Sidney, S., Turner, S.T., Davies, G., Thalamuthu, A., Völker, U., van Buchem, M.A., Bryan, R.N., Dupuis, J., Bastin, M.E., Ames, D., Teumer, A., Amouyel, P., Kwok, J.B., Bülow, R., Deary, I.J., Schofield, P.R., Brodaty, H., Jiang, J., Tabara, Y., Setoh, K., Miyamoto, S., Yoshida, K., Nagata, M., Kamatani, Y., Matsuda, F., Psaty, B.M., Bennett, D.A., De Jager, P.L., Mosley, T.H., Sachdev, P.S., Schmidt, R., Warren, H.R., Evangelou, E., Trégouët, D-A, Ikram, M.A., Wen, W., DeCarli, C., Srikanth, V.K., Jukema, J.W., Slagboom, E.P., Kardia, S.L.R., Okada, Y., Mazoyer, B., Wardlaw, J.M., Nyquist, P.A., Mather, K.A., Grabe, H.J., Schmidt, H., van Duijn, C.M., Gudnason, V., Longstreth, W.T., Launer, L. J., Lathrop, M., Seshadri, S., Tzourio, C., Adams, H.H., Matthews, P.M., Fornage, M., Debette, S., Sargurupremraj, M., Suzuki, H., Jian, X., Sarnowski, C., Evans, T.E., Bis, J.C., Eiriksdottir, G., Sakaue, S., Terzikhan, N., Habes, M., Zhao, W., Armstrong, N.J., Hofer, E., Yanek, L.R., Hagenaars, S.P., Kumar, R.B., van den Akker, E.B., McWhirter, R.E., Trompet, S., Mishra, A., Saba, Y., Satizabal, C.L., Beaudet, G., Petit, L., Tsuchida, A., Zago, L., Schilling, S., Sigurdsson, S., Gottesman, R.F., Lewis, C.E., Aggarwal, N.T., Lopez, O.L., Smith, J.A., Valdés Hernández, M.C., Van der Grond, J., Wright, M.J., Knol, M.J., Dörr, M., Thomson, R.J., Bordes, C., Le Grand, Q., Duperron, M-G, Smith, A.V., Knopman, D.S., Schreiner, P.J., Evans, D.A., Rotter, J.I., Beiser, A.S., Maniega, S.M., Beekman, M., Trollor, J., Stott, D.J., Vernooij, M.W., Wittfeld, K., Niessen, W.J., Soumaré, A., Boerwinkle, E., Sidney, S., Turner, S.T., Davies, G., Thalamuthu, A., Völker, U., van Buchem, M.A., Bryan, R.N., Dupuis, J., Bastin, M.E., Ames, D., Teumer, A., Amouyel, P., Kwok, J.B., Bülow, R., Deary, I.J., Schofield, P.R., Brodaty, H., Jiang, J., Tabara, Y., Setoh, K., Miyamoto, S., Yoshida, K., Nagata, M., Kamatani, Y., Matsuda, F., Psaty, B.M., Bennett, D.A., De Jager, P.L., Mosley, T.H., Sachdev, P.S., Schmidt, R., Warren, H.R., Evangelou, E., Trégouët, D-A, Ikram, M.A., Wen, W., DeCarli, C., Srikanth, V.K., Jukema, J.W., Slagboom, E.P., Kardia, S.L.R., Okada, Y., Mazoyer, B., Wardlaw, J.M., Nyquist, P.A., Mather, K.A., Grabe, H.J., Schmidt, H., van Duijn, C.M., Gudnason, V., Longstreth, W.T., Launer, L. J., Lathrop, M., Seshadri, S., Tzourio, C., Adams, H.H., Matthews, P.M., Fornage, M., and Debette, S.

Abstract

White matter hyperintensities (WMH) are the most common brain-imaging feature of cerebral small vessel disease (SVD), hypertension being the main known risk factor. Here, we identify 27 genome-wide loci for WMH-volume in a cohort of 50,970 older individuals, accounting for modification/confounding by hypertension. Aggregated WMH risk variants were associated with altered white matter integrity (p = 2.5×10-7) in brain images from 1,738 young healthy adults, providing insight into the lifetime impact of SVD genetic risk. Mendelian randomization suggested causal association of increasing WMH-volume with stroke, Alzheimer-type dementia, and of increasing blood pressure (BP) with larger WMH-volume, notably also in persons without clinical hypertension. Transcriptome-wide colocalization analyses showed association of WMH-volume with expression of 39 genes, of which four encode known drug targets. Finally, we provide insight into BP-independent biological pathways underlying SVD and suggest potential for genetic stratification of high-risk individuals and for genetically-informed prioritization of drug targets for prevention trials.

Published
2020

106. Global and regional development of the human cerebral cortex: Molecular architecture and occupational aptitudes

Author

Paus, T., Seshadri, S., Pausova, Z., Sestan, N., Jahanshad, N., Ding, L., Kremen, W.S., Franz, C.E., Gillespie, N.A., Debette, S., Maingault, S., Mishra, A., Tzourio, C., Grabe, H.J., Bülow, R., Wittfeld, K., van der -Palitschka, S., Frenzel, S., Ikram, M.A., Adams, H.H.H.H., Evans, T.E., Terzikhan, N., Sachdev, P.S., Wen, W., Brodaty, H., Wright, M.J., Trollor, J.N., Thalamuthu, A., Schofield, P.R., Kwok, J.B., Jiang, J., Ames, D., Mather, K.A., Armstrong, N.J., Villringer, A., Beyer, F., Witte, A.V., Loeffler, M., Scholz, M., Deary, I.E., Wardlaw, J.M., Harris, M.A., Bastin, M.E., Lewis, L., Karama, S., Luciano, M., Yang, Q., Li, S., Bis, J.C., Mazoyer, B., Crivello, F., Carrion-Castillo, A., Schmidt, H., Schmidt, R., Pirpamer, L., Saba, Y., Fornage, M., Mosley, T.H., Gottesman, R., Jian, X., Sousa, A.M.M., Roshchupkin, G.V., Tilley, S., Vosberg, D.E., Patel, Y., Hofer, E., Ma, S., Shin, J., Paus, T., Seshadri, S., Pausova, Z., Sestan, N., Jahanshad, N., Ding, L., Kremen, W.S., Franz, C.E., Gillespie, N.A., Debette, S., Maingault, S., Mishra, A., Tzourio, C., Grabe, H.J., Bülow, R., Wittfeld, K., van der -Palitschka, S., Frenzel, S., Ikram, M.A., Adams, H.H.H.H., Evans, T.E., Terzikhan, N., Sachdev, P.S., Wen, W., Brodaty, H., Wright, M.J., Trollor, J.N., Thalamuthu, A., Schofield, P.R., Kwok, J.B., Jiang, J., Ames, D., Mather, K.A., Armstrong, N.J., Villringer, A., Beyer, F., Witte, A.V., Loeffler, M., Scholz, M., Deary, I.E., Wardlaw, J.M., Harris, M.A., Bastin, M.E., Lewis, L., Karama, S., Luciano, M., Yang, Q., Li, S., Bis, J.C., Mazoyer, B., Crivello, F., Carrion-Castillo, A., Schmidt, H., Schmidt, R., Pirpamer, L., Saba, Y., Fornage, M., Mosley, T.H., Gottesman, R., Jian, X., Sousa, A.M.M., Roshchupkin, G.V., Tilley, S., Vosberg, D.E., Patel, Y., Hofer, E., Ma, S., and Shin, J.

Abstract

We have carried out meta-analyses of genome-wide association studies (GWAS) (n = 23 784) of the first two principal components (PCs) that group together cortical regions with shared variance in their surface area. PC1 (global) captured variations of most regions, whereas PC2 (visual) was specific to the primary and secondary visual cortices. We identified a total of 18 (PC1) and 17 (PC2) independent loci, which were replicated in another 25 746 individuals. The loci of the global PC1 included those associated previously with intracranial volume and/or general cognitive function, such as MAPT and IGF2BP1. The loci of the visual PC2 included DAAM1, a key player in the planar-cell-polarity pathway. We then tested associations with occupational aptitudes and, as predicted, found that the global PC1 was associated with General Learning Ability, and the visual PC2 was associated with the Form Perception aptitude. These results suggest that interindividual variations in global and regional development of the human cerebral cortex (and its molecular architecture) cascade—albeit in a very limited manner—to behaviors as complex as the choice of one’s occupation.

Published
2020

107. Global and Regional Development of the Human Cerebral Cortex: Molecular Architecture and Occupational Aptitudes

Author

Shin, J, Ma, S, Hofer, E, Patel, Y, Vosberg, DE, Tilley, S, Roshchupkin, G, Sousa, AMM, Jian, X, Gottesman, R, Mosley, TH, Fornage, M, Saba, Y, Pirpamer, L, Schmidt, R, Schmidt, H, Carrion-Castillo, A, Crivello, F, Mazoyer, B, Bis, JC, Li, S, Yang, Q, Luciano, M, Karama, S, Lewis, L, Bastin, ME, Harris, MA, Wardlaw, JM, Deary, IE, Scholz, M, Loeffler, M, Witte, AV, Beyer, F, Villringer, A, Armstrong, NJ, Mather, KA, Ames, D, Jiang, J, Kwok, JB, Schofield, PR, Thalamuthu, A, Trollor, JN, Wright, MJ, Brodaty, H, Wen, W, Sachdev, PS, Terzikhan, N, Evans, TE, Adams, HHHH, Ikram, MA, Frenzel, S, Van der Auwera-Palitschka, S, Wittfeld, K, Bulow, R, Grabe, HJ, Tzourio, C, Mishra, A, Maingault, S, Debette, S, Gillespie, NA, Franz, CE, Kremen, WS, Ding, L, Jahanshad, N, Sestan, N, Pausova, Z, Seshadri, S, Paus, T, Shin, J, Ma, S, Hofer, E, Patel, Y, Vosberg, DE, Tilley, S, Roshchupkin, G, Sousa, AMM, Jian, X, Gottesman, R, Mosley, TH, Fornage, M, Saba, Y, Pirpamer, L, Schmidt, R, Schmidt, H, Carrion-Castillo, A, Crivello, F, Mazoyer, B, Bis, JC, Li, S, Yang, Q, Luciano, M, Karama, S, Lewis, L, Bastin, ME, Harris, MA, Wardlaw, JM, Deary, IE, Scholz, M, Loeffler, M, Witte, AV, Beyer, F, Villringer, A, Armstrong, NJ, Mather, KA, Ames, D, Jiang, J, Kwok, JB, Schofield, PR, Thalamuthu, A, Trollor, JN, Wright, MJ, Brodaty, H, Wen, W, Sachdev, PS, Terzikhan, N, Evans, TE, Adams, HHHH, Ikram, MA, Frenzel, S, Van der Auwera-Palitschka, S, Wittfeld, K, Bulow, R, Grabe, HJ, Tzourio, C, Mishra, A, Maingault, S, Debette, S, Gillespie, NA, Franz, CE, Kremen, WS, Ding, L, Jahanshad, N, Sestan, N, Pausova, Z, Seshadri, S, and Paus, T

Abstract

We have carried out meta-analyses of genome-wide association studies (GWAS) (n = 23 784) of the first two principal components (PCs) that group together cortical regions with shared variance in their surface area. PC1 (global) captured variations of most regions, whereas PC2 (visual) was specific to the primary and secondary visual cortices. We identified a total of 18 (PC1) and 17 (PC2) independent loci, which were replicated in another 25 746 individuals. The loci of the global PC1 included those associated previously with intracranial volume and/or general cognitive function, such as MAPT and IGF2BP1. The loci of the visual PC2 included DAAM1, a key player in the planar-cell-polarity pathway. We then tested associations with occupational aptitudes and, as predicted, found that the global PC1 was associated with General Learning Ability, and the visual PC2 was associated with the Form Perception aptitude. These results suggest that interindividual variations in global and regional development of the human cerebral cortex (and its molecular architecture) cascade-albeit in a very limited manner-to behaviors as complex as the choice of one's occupation.

Published
2020

108. Nitrogen-Doped Oxygenated Molybdenum Phosphide as an Efficient Electrocatalyst for Hydrogen Evolution in Alkaline Media

Author

Khan, MW, Loomba, S, Ali, R, Mohiuddin, M, Alluqmani, A, Haque, F, Liu, Y, Sagar, RUR, Zavabeti, A, Alkathiri, T, Shabbir, B, Jian, X, Ou, JZ, Mahmood, A, Mahmood, N, Khan, MW, Loomba, S, Ali, R, Mohiuddin, M, Alluqmani, A, Haque, F, Liu, Y, Sagar, RUR, Zavabeti, A, Alkathiri, T, Shabbir, B, Jian, X, Ou, JZ, Mahmood, A, and Mahmood, N

Abstract

Phosphides of transition metals (TMPs) are a developing class of materials for hydrogen evolution reaction (HER) as an alternative to expensive noble metals to produce clean energy. Herein, the nitrogen-doped molybdenum oxide (MoOx) is developed via a facile and simple hydrothermal method, followed by annealing in the N2 atmosphere and phosphorization to form a nitrogen-doped oxygenated molybdenum phosphide (N-MoP) sphere-shaped structure. The developed N-doped phosphide structure depicts enhanced HER activity by reaching a current density of 10 mA cm−2 at a very low overpotential of only 87 mV, which is much better than annealed nitrogen-doped molybdenum oxide (A-MoOx) 138 mV in alkaline medium. N-MoP is a highly efficient electrocatalyst for HER attributed to a more exposed surface, large electrode/electrolyte interface and appropriate binding energies for reactants. This study extends the opportunity of developing nitrogen-doped TMPs, which can display exceptional properties as compared to their oxides.

Published
2020

109. Correction: Whole exome sequencing study identifies novel rare and common Alzheimer's-Associated variants involved in immune response and transcriptional regulation.

Author

Bis, JC, Jian, X, Kunkle, BW, Chen, Y, Hamilton-Nelson, KL, Bush, WS, Salerno, WJ, Lancour, D, Ma, Y, Renton, AE, Marcora, E, Farrell, JJ, Zhao, Y, Qu, L, Ahmad, S, Amin, N, Amouyel, P, Beecham, GW, Below, JE, Campion, D, Cantwell, L, Charbonnier, C, Chung, J, Crane, PK, Cruchaga, C, Cupples, LA, Dartigues, J-F, Debette, S, Deleuze, J-F, Fulton, L, Gabriel, SB, Genin, E, Gibbs, RA, Goate, A, Grenier-Boley, B, Gupta, N, Haines, JL, Havulinna, AS, Helisalmi, S, Hiltunen, M, Howrigan, DP, Ikram, MA, Kaprio, J, Konrad, J, Kuzma, A, Lander, ES, Lathrop, M, Lehtimäki, T, Lin, H, Mattila, K, Mayeux, R, Muzny, DM, Nasser, W, Neale, B, Nho, K, Nicolas, G, Patel, D, Pericak-Vance, MA, Perola, M, Psaty, BM, Quenez, O, Rajabli, F, Redon, R, Reitz, C, Remes, AM, Salomaa, V, Sarnowski, C, Schmidt, H, Schmidt, M, Schmidt, R, Soininen, H, Thornton, TA, Tosto, G, Tzourio, C, van der Lee, SJ, van Duijn, CM, Valladares, O, Vardarajan, B, Wang, L-S, Wang, W, Wijsman, E, Wilson, RK, Witten, D, Worley, KC, Zhang, X, Alzheimer’s Disease Sequencing Project, Bellenguez, C, Lambert, J-C, Kurki, MI, Palotie, A, Daly, M, Boerwinkle, E, Lunetta, KL, Destefano, AL, Dupuis, J, Martin, ER, Schellenberg, GD, Seshadri, S, Naj, AC, Fornage, M, Farrer, LA, Bis, JC, Jian, X, Kunkle, BW, Chen, Y, Hamilton-Nelson, KL, Bush, WS, Salerno, WJ, Lancour, D, Ma, Y, Renton, AE, Marcora, E, Farrell, JJ, Zhao, Y, Qu, L, Ahmad, S, Amin, N, Amouyel, P, Beecham, GW, Below, JE, Campion, D, Cantwell, L, Charbonnier, C, Chung, J, Crane, PK, Cruchaga, C, Cupples, LA, Dartigues, J-F, Debette, S, Deleuze, J-F, Fulton, L, Gabriel, SB, Genin, E, Gibbs, RA, Goate, A, Grenier-Boley, B, Gupta, N, Haines, JL, Havulinna, AS, Helisalmi, S, Hiltunen, M, Howrigan, DP, Ikram, MA, Kaprio, J, Konrad, J, Kuzma, A, Lander, ES, Lathrop, M, Lehtimäki, T, Lin, H, Mattila, K, Mayeux, R, Muzny, DM, Nasser, W, Neale, B, Nho, K, Nicolas, G, Patel, D, Pericak-Vance, MA, Perola, M, Psaty, BM, Quenez, O, Rajabli, F, Redon, R, Reitz, C, Remes, AM, Salomaa, V, Sarnowski, C, Schmidt, H, Schmidt, M, Schmidt, R, Soininen, H, Thornton, TA, Tosto, G, Tzourio, C, van der Lee, SJ, van Duijn, CM, Valladares, O, Vardarajan, B, Wang, L-S, Wang, W, Wijsman, E, Wilson, RK, Witten, D, Worley, KC, Zhang, X, Alzheimer’s Disease Sequencing Project, Bellenguez, C, Lambert, J-C, Kurki, MI, Palotie, A, Daly, M, Boerwinkle, E, Lunetta, KL, Destefano, AL, Dupuis, J, Martin, ER, Schellenberg, GD, Seshadri, S, Naj, AC, Fornage, M, and Farrer, LA

Abstract

A correction to this paper has been published and can be accessed via a link at the top of the paper.

Published
2020

110. Hyperspectral imaging as a part of pharmaceutical product design

Author

Bøtker, Johan, Wu, Jian X., Rantanen, Jukka, Bøtker, Johan, Wu, Jian X., and Rantanen, Jukka

Abstract

Imaging is getting an important element of the modern drug development process. Different hyperspectral imaging tools can provide in-depth understanding of complex pharmaceutical products including not only phenomena captured by the laboratory-based off-line instruments but also increasingly tools capable of fulfilling the process analytical measurement scenarios. Information related to spatial distribution of the components in pharmaceutical products can be explored using infrared, near-infrared, Raman, and ultraviolet mapping, as well as using RGB imaging. These tools are generally accepted by the regulatory bodies, and at the same time, they are becoming a natural part of drug development process. In the future, hyperspectral imaging will be a key enabling part of the continuously operating production systems.

Published
2020

111. Genetic architecture of subcortical brain structures in 38,854 individuals worldwide

Author

Satizabal, C., Adams, H., Hibar, D., White, C., Knol, M., Stein, J., Scholz, M., Sargurupremraj, M., Jahanshad, N., Roshchupkin, G., Smith, A., Bis, J., Jian, X., Luciano, M., Hofer, E., Teumer, A., Van der Lee, S., Yang, J., Yanek, L., Lee, T., Li, S., Hu, Y., Koh, J., Eicher, J., Desrivières, S., Arias-Vasquez, A., Chauhan, G., Athanasiu, L., Renteria, M., Kim, S., Höhn, D., Armstrong, N., Chen, Q., Holmes, A., Den Braber, A., Kloszewska, I., Andersson, M., Espeseth, T., Grimm, O., Abramovic, L., Alhusaini, S., Milaneschi, Y., Papmeyer, M., Axelsson, T., Ehrlich, S., Roiz-Santiañez, R., Kraemer, B., Håberg, A., Jones, H., Pike, G., Stein, D., Stevens, A., Bralten, J., Vernooij, M., Harris, T., Filippi, I., Witte, A., Guadalupe, T., Wittfeld, K., Mosley, T., Becker, J., Doan, N., Hagenaars, S., Saba, Y., Cuellar-Partida, G., Amin, N., Hilal, S., Nho, K., Karbalai, N., Arfanakis, K., Becker, D., Ames, D., Goldman, A., Lee, P., Boomsma, D., Lovestone, S., Giddaluru, S., Le Hellard, S., Mattheisen, M., Bohlken, M., Kasperaviciute, D., Schmaal, L., Lawrie, S., Agartz, I., Walton, E., Tordesillas-Gutierrez, D., Davies, G., Shin, J., Ipser, J., Vinke, L., Hoogman, M., Jia, T., Burkhardt, R., Klein, M., Crivello, F., Janowitz, D., Carmichael, O., Haukvik, U., Aribisala, B., Schmidt, H., Strike, L., Cheng, C., Risacher, S., Pütz, B., Fleischman, D., Assareh, A., Mattay, V., Buckner, R., Mecocci, P., Dale, A., Cichon, S., Boks, M., Matarin, M., Penninx, B., Calhoun, V., Chakravarty, M., Marquand, A., Macare, C., Masouleh, S., Oosterlaan, J., Amouyel, P., Hegenscheid, K., Rotter, J., Schork, A., Liewald, D., De Zubicaray, G., Wong, T., Shen, L., Sämann, P., Brodaty, H., Roffman, J., De Geus, E., Tsolaki, M., Erk, S., Van Eijk, K., Cavalleri, G., Van der Wee, N., McIntosh, A., Gollub, R., Bulayeva, K., Bernard, M., Richards, J., Himali, J., Loeffler, M., Rommelse, N., Hoffmann, W., Westlye, L., Valdés Hernández, M., Hansell, N., Van Erp, T., Wolf, C., Kwok, J., Vellas, B., Heinz, A., Olde Loohuis, L., Delanty, N., Ho, B., Ching, C., Shumskaya, E., Singh, B., Hofman, A., Van der Meer, D., Homuth, G., Psaty, B., Bastin, M., Montgomery, G., Foroud, T., Reppermund, S., Hottenga, J., Simmons, A., Meyer-Lindenberg, A., Cahn, W., Whelan, C., Van Donkelaar, M., Yang, Q., Hosten, N., Green, R., Thalamuthu, A., Mohnke, S., Hulshoff Pol, H., Lin, H., Jack Jr., C., Schofield, P., Mühleisen, T., Maillard, P., Potkin, S., Wen, W., Fletcher, E., Toga, A., Gruber, O., Huentelman, M., Smith, G., Launer, L., Nyberg, L., Jönsson, E., Crespo-Facorro, B., Koen, N., Greve, D., Uitterlinden, A., Weinberger, D., Steen, V., Fedko, I., Groenewold, N., Niessen, W., Toro, R., Tzourio, C., Longstreth Jr., W., Ikram, M., Smoller, J., Van Tol, M., Sussmann, J., Paus, T., Lemaître, H., Schroeter, M., Mazoyer, B., Andreassen, O., Holsboer, F., Depondt, C., Veltman, D., Turner, J., Pausova, Z., Schumann, G., Van Rooij, D., Djurovic, S., Deary, I., McMahon, K., Müller-Myhsok, B., Brouwer, R., Soininen, H., Pandolfo, M., Wassink, T., Cheung, J., Wolfers, T., Martinot, J., Zwiers, M., Nauck, M., Melle, I., Martin, N., Kanai, R., Westman, E., Kahn, R., Sisodiya, S., White, T., Saremi, A., Van Bokhoven, H., Brunner, H., Völzke, H., Wright, M., Van 't Ent, D., Nöthen, M., Ophoff, R., Buitelaar, J., Fernández, G., Sachdev, P., Rietschel, M., Van Haren, N., Fisher, S., Beiser, A., Francks, C., Saykin, A., Mather, K., Romanczuk-Seiferth, N., Hartman, C., DeStefano, A., Heslenfeld, D., Weiner, M., Walter, H., Hoekstra, P., Nyquist, P., Franke, B., Bennett, D., Grabe, H., Johnson, A., Chen, C., Van Duijn, C., Lopez, O., Fornage, M., Wardlaw, J., Schmidt, R., DeCarli, C., De Jager, P., Villringer, A., Debette, S., Gudnason, V., Medland, S., Shulman, J., Thompson, P., and Seshadri, S.

Subjects
nervous system
Abstract

Subcortical brain structures are integral to motion, consciousness, emotions and learning. We identified common genetic variation related to the volumes of the nucleus accumbens, amygdala, brainstem, caudate nucleus, globus pallidus, putamen and thalamus, using genome-wide association analyses in almost 40,000 individuals from CHARGE, ENIGMA and UK Biobank. We show that variability in subcortical volumes is heritable, and identify 48 significantly associated loci (40 novel at the time of analysis). Annotation of these loci by utilizing gene expression, methylation and neuropathological data identified 199 genes putatively implicated in neurodevelopment, synaptic signaling, axonal transport, apoptosis, inflammation/infection and susceptibility to neurological disorders. This set of genes is significantly enriched for Drosophila orthologs associated with neurodevelopmental phenotypes, suggesting evolutionarily conserved mechanisms. Our findings uncover novel biology and potential drug targets underlying brain development and disease.

Published
2019

119. Thromboxane [A.sub.2] from Kupffer cells contributes to the hyperresponsiveness of hepatic portal circulation to endothelin-1 in endotoxemic rats

Author

Xu, Hongzhi, Korneszczuk, Katarzyna, Karaa, Amel, Lin, Tian, Clemens, Mark G., and Zhang, Jian X.

Subjects
Endothelin -- Research, Thromboxanes -- Research, Biological sciences
Abstract

We examined the role of thromboxane [A.sub.2] (TX[A.sub.2]) in LPS-induced hyperresponsiveness of hepatic portal circulation to endothelins (ETs) and whether Kupffer cells are the primary source of TX[A.sub.2] release in response to ET-1 in endotoxemia. After 6 h of LPS (1 mg/kg body wt ip) or saline (control), liver was isolated and perfused with recirculating Krebs-Henseleit bicarbonate buffer at a constant flow rate (100 ml x [min.sup.-1] x kg body [wt.sup.-1]). ET-1 (10 pmol/ min) was infused for 10 min. Portal pressure (PP) was continuously monitored during perfusion. Perfusate was sampled for enzyme immunoassay of thromboxane [B.sub.2] (TX[B.sub.2]; the stable metabolite of TX[A.sub.2]) and lactate dehydrogenase (LDH) assay. ET-1 infusion resulted in a significantly greater increase of PP in the LPS group than in controls. Both TX[A.sub.2] synthase inhibitor furegrelate (Fureg) and TX[A.sub.2] receptor antagonist SQ-29548 (SQ) substantially blocked enhanced increase of PP in the LPS group (4.9 [+ or -] 0.4 vs. 3.6 [+ or -] 0.5 vs. 2.6 [+ or -] 0.6 mmHg for LPS alone, LPS + Fureg, and LPS + SQ, respectively; P < 0.05) while having no significant effect on controls. Gd[Cl.sub.3] for inhibition of Kupffer cells had similar effects (4.9 [+ or -] 0.4 mmHg vs. 2.9 [+ or -] 0.4 mmHg for LPS alone and Gd[Cl.sub.3] + LPS, respectively; P < 0.05). In addition, the attenuated PP after ET-1 was found concomitantly with significantly decreased releases of TX[B.sub.2] and LDH in LPS rats treated with Fureg, SQ, and Gd[Cl.sub.3] (886.6 [+ or -] 73.4 vs. 110.8 [+ or -] 0.8 vs. 114.8 [+ or -] 54.7 vs. 135.2 [+ or -] 45.2 pg/ml, respectively; P < 0.05). After 6 h of LPS, Kupffer cells in isolated cell preparations released a significant amount of TX[A.sub.2] in response to ET-1. These results clearly indicate that hyperresponsiveness of hepatic portal circulation to ET-1 in endotoxemia is mediated at least in part by TX[A.sub.2]-induced receptor activation, and Kupffer cells are likely the primary source of increased TX[A.sub.2] release. isolated liver perfusion; furegrelate; SQ-29548

Published
2005

125. Accurate solution of periodic microstrips for digital applications

Author

Wan, Changhua and Zheng, Jian-X.

Subjects
Strip transmission lines -- Analysis, Electromagnetism -- Analysis, Business, Computers, Electronics, Electronics and electrical industries
Abstract

This paper presents a conformal-mapping analysis of periodic microstrips (PMSs) with zero-thickness strips. The analysis, for the first time, yields closed-form expressions for the common-mode and alternate-differential-mode capacitances, characteristic impedances, and effective dielectric constants of PMSs. The accuracy of the capacitances against electromagnetic simulations is found to be better than 4% in three test cases. The accuracy of approximating the differential-mode capacitance of PMSs using their alternate-differential-mode one is also found to be within 4%. In the case of an air substrate, the capacitances and impedances become exact. These expressions allow a quick estimate of crosstalk-induced impedance and velocity changes on a signal line at or near the center of a data bus consisting of multiconductor microstrips in digital design. A cell of the periodic structure in an alternate differential mode is actually a single microstrip (SMS) with sidewalls and, therefore, the alternate-differential-mode results are equally useful in the design of such an SMS. As expected, calculated alternate-differential-mode data for a large strip spacing approach corresponding common-mode ones and those of a corresponding SMS without sidewalls. Index Terms--Data buses, microstrip, multiconductor transmission lines, periodic structures.

Published
2003

126. Role of thromboxane [A.sub.2] in early BDL-induced portal hypertension

Author

Yokoyama, Yukihiro, Xu, Hongzhi, Kresge, Nicole, Keller, Steve, Sarmadi, Amir H., Baveja, Rajiv, Clemens, Mark G., and Zhang, Jian X.

Subjects
Physiology -- Research, Thromboxanes -- Physiological aspects, Vasoconstriction -- Physiological aspects, Bile ducts -- Physiological aspects, Common bile duct, Biological sciences
Abstract

Although the mechanisms of cirrhosis-induced portal hypertension have been studied extensively, the role of thromboxane [A.sub.2] (TX[A.sub.2]) in the development of portal hypertension has never been explicitly explored. In the present study, we sought to determine the role of TX[A.sub.2] in bile duct ligation (BDL)-induced portal hypertension in Sprague-Dawley rats. After 1 wk of BDL or sham operation, the liver was isolated and perfused with Krebs-Henseleit bicarbonate buffer at a constant flow rate. After 30 min of nonrecirculating perfusion, the buffer was recirculated in a total volume of 100 ml. The perfusate was sampled for the enzyme immunoassay of thromboxane [B.sub.2] (TX[B.sub.2]), the stable metabolite of TX[A.sub.2]. Although recirculation of the buffer caused no significant change in sham-operated rats, it resulted in a marked increase in portal pressure in BDL rats. The increase in portal pressure was found concomitantly with a significant increase of TX[B.sub.2] in the perfusate (sham vs. BDL after 30 min of recirculating perfusion: 1,420 [+ or -] 803 vs. 10,210 [+ or -] 2,950 pg/ml; P < 0.05). Perfusion with a buffer containing indomethacin or gadolinium chloride for inhibition of cyclooxygenase (COX) or Kupffer cells, respectively, substantially blocked the recirculation-induced increases in both portal pressure and TX[B.sub.2] release in BDL group. Hepatic detection of COX gene expression by RT-PCR revealed that COX-2 but not COX-1 was upregulated following BDL, and this upregulation was confirmed at the protein level by Western blot analysis. In conclusion, these results clearly demonstrate that increased hepatic TX[A.sub.2] release into the portal circulation contributes to the increased portal resistance in BDL-induced liver injury, suggesting a role of TX[A.sub.2] in liver fibrosis-induced portal hypertension. Furthermore, the Kupffer cell is likely the source of increased TX[A.sub.2], which is associated with upregulation of the COX-2 enzyme. hepatic fibrosis; vasoconstriction; isolated liver perfusion; cyclooxygenase; portal pressure

Published
2003

141. Optimizing the Super H-mode pedestal to improve performance and facilitate divertor integration

Author

Knolker, M., primary, Snyder, P. B., additional, Evans, T. E., additional, Wilks, T., additional, Eldon, D., additional, Grierson, B., additional, Jaervinen, A., additional, Jian, X., additional, Laggner, F., additional, McClenaghan, J., additional, McLean, A. G., additional, Osborne, T., additional, Paz-Soldan, C., additional, Scotti, F., additional, and Solomon, W., additional

Published
2020
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142. Study of H-mode pedestal predictive model on EAST tokamak

Author

Li, K, primary, Li, G Q, additional, Zang, Q, additional, Zhang, T, additional, Liu, H Q, additional, Xiang, H M, additional, Li, Y Y, additional, Wu, M F, additional, Wu, M Q, additional, Jian, X, additional, Li, G S, additional, Li, H, additional, and Snyder, P B, additional

Published
2020
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144. Identifying the Prevalence and Correlates of Caregiver-Reported Symptoms in Home Hospice Patients at the End of Life

Author

Phongtankuel, Veerawat, primary, Teresi, Jeanne A., additional, Eimicke, Joseph P., additional, Kong, Jian X., additional, Adelman, Ronald D., additional, Prigerson, Holly G., additional, Czaja, Sara J., additional, Shalev, Ariel, additional, Dignam, Ritchell, additional, Baughn, Rosemary, additional, and Reid, M. Cary, additional

Published
2020
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150. Optimization of pyrolysis efficiency based on optical property of semicoke in terahertz region

Author

Ri M. Bao, Shao H. Liu, Shi X. Wu, Yue Ma, Xiao L. Yu, Jian X. Wu, Yi Z. Li, Zhi K. Wu, Wei Wang, Hong L. Zhan, Kun Zhao, and Shu Y. Li

Subjects
chemistry.chemical_classification, Work (thermodynamics), Materials science, Terahertz radiation, 020209 energy, Mechanical Engineering, Analytical chemistry, 02 engineering and technology, Building and Construction, Kinetic energy, Pollution, Industrial and Manufacturing Engineering, General Energy, 020401 chemical engineering, chemistry, Yield (chemistry), Thermal, 0202 electrical engineering, electronic engineering, information engineering, Organic matter, 0204 chemical engineering, Electrical and Electronic Engineering, Pyrolysis, Oil shale, Civil and Structural Engineering
Abstract

The correlation between pyrolysis conditions and fuel production has been extensively studied. Terahertz parameters, instead of thermal kinetic parameters, were investigated to reveal such interior correlation in this work. Different ventilating rate (V), heating rate (β) and final temperature (T) were controlled in several pyrolysis experiments of oil shale to prepare semicoke with varied amount of oil content, respectively. It was observed that V = 0.6 L/min, β = 15 °C/min and T = 550 °C were the expected conditions to produce fuel. The critical points in terahertz parameter corresponded well with that in oil yield. Intervals where increasing V, β and T contributed to oil yield best can be determined by comparing the trend of absorption index at 0.4, 0.6, 0.8, 1.0 THz. Therefore terahertz parameter of semicoke may characterize the organic matter in semicoke that may convert to additional fuel and terahertz method can be applied to optimize pyrolysis efficiency.

Published
2017

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