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3. Von Willebrand factor processing in patients with advanced chronic liver disease and its relation to portal hypertension and clinical outcome

Author

Simbrunner, Benedikt, Villesen, Ida Falk, Scheiner, Bernhard, Paternostro, Rafael, Schwabl, Philipp, Stättermayer, Albert Friedrich, Marculescu, Rodrig, Pinter, Matthias, Quehenberger, Peter, Trauner, Michael, Karsdal, Morten, Lisman, Ton, Reiberger, Thomas, Leeming, Diana Julie, and Mandorfer, Mattias

Published
2023
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4. The fibroblast hormone Endotrophin is a biomarker of mortality in chronic diseases

Author

Genovese, Federica, Bager, Cecilie, Frederiksen, Peder, Vazquez, Dario, Sand, Jannie Marie Bülow, Jenkins, R Gisli, Maher, Toby M., Stewart, Iain D., Molyneaux, Philip L., Fahy, William A, Wain, Louise V., Vestbo, Jørgen, Nanthakumar, Carmel, Shaker, Saher Burhan, Hoyer, Nils, Leeming, Diana Julie, George, Jacob, Trebicka, Jonel, Rasmussen, Daniel Guldager Kring, Hansen, Michael K., Cockwell, Paul, Kremer, Daan, Bakker, Stephan JL, Selby, Nicholas M, Reese-Petersen, Alexander Lynge, González, Arantxa, Núñez, Julio, Rossing, Peter, Nissen, Neel I., Boisen, Mogens Karsbøl, Chen, Inna M., Zhao, Lei, Karsdal, Morten A., and Schuppan, Detlef

Published
2024
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5. Opportunities and barriers in omics-based biomarker discovery for steatotic liver diseases

Author

Hansen, Torben, Mann, Matthias, Matthijnssens, Jelle, Krag, Aleksander, Bork, Peer, Arumugam, Manimozhiyan, Trebicka, Jonel, Karsdal, Morten, Anastasiadou, Ema, Israelsen, Hans, Melberg, Hans Olav, Legido-Quigley, Cristina, Thiele, Maja, Villesen, Ida Falk, Niu, Lili, Johansen, Stine, Sulek, Karolina, Nishijima, Suguru, Espen, Lore Van, Keller, Marisa, Israelsen, Mads, Suvitaival, Tommi, Zawadzki, Andressa de, Juel, Helene Bæk, Brol, Maximilian Joseph, Stinson, Sara Elizabeth, Huang, Yun, Silva, Maria Camilla Alvarez, Kuhn, Michael, Leeming, Diana Julie, Dalgaard, Louise Torp, and Jensen, Lars Juhl

Published
2024
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7. N-terminal propeptide of type 3 collagen-based sequential algorithm can identify high-risk steatohepatitis and fibrosis in MAFLD

Author

Tang, Liang-Jie, Li, Gang, Eslam, Mohammed, Zhu, Pei-Wu, Chen, Sui-Dan, Leung, Howard Ho-Wai, Huang, Ou-Yang, Wong, Grace Lai-Hung, Zhou, Yu-Jie, Karsdal, Morten, Leeming, Diana Julie, Jiang, Pei, Wang, Cong, Yuan, Hai-Yang, Byrne, Christopher D., Targher, Giovanni, George, Jacob, Wong, Vincent Wai-Sun, and Zheng, Ming-Hua

Published
2023
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8. Performance of non-invasive tests and histology for the prediction of clinical outcomes in patients with non-alcoholic fatty liver disease: an individual participant data meta-analysis

Author

Anstee, Quentin M, Daly, Ann K, Govaere, Olivier, Cockell, Simon, Tiniakos, Dina, Bedossa, Pierre, Burt, Alastair, Oakley, Fiona, Cordell, Heather J, Day, Christopher P, Wonders, Kristy, Missier, Paolo, McTeer, Matthew, Vale, Luke, Oluboyede, Yemi, Breckons, Matt, Bossuyt, Patrick M, Zafarmand, Hadi, Vali, Yasaman, Lee, Jenny, Nieuwdorp, Max, Holleboom, Adriaan G, Verheij, Joanne, Ratziu, Vlad, Clément, Karine, Patino-Navarrete, Rafael, Pais, Raluca, Paradis, Valerie, Schuppan, Detlef, Schattenberg, Jörn M, Surabattula, Rambabu, Myneni, Sudha, Straub, Beate K, Vidal-Puig, Toni, Vacca, Michele, Rodrigues-Cuenca, Sergio, Allison, Mike, Kamzolas, Ioannis, Petsalaki, Evangelia, Campbell, Mark, Lelliott, Chris J, Davies, Susan, Orešič, Matej, Hyötyläinen, Tuulia, McGlinchey, Aiden, Mato, Jose M, Millet, Óscar, Dufour, Jean-François, Berzigotti, Annalisa, Masoodi, Mojgan, Pavlides, Michael, Harrison, Stephen, Neubauer, Stefan, Cobbold, Jeremy, Mozes, Ferenc, Akhtar, Salma, Olodo-Atitebi, Seliat, Banerjee, Rajarshi, Kelly, Matt, Shumbayawonda, Elizabeth, Dennis, Andrea, Andersson, Anneli, Wigley, Ioan, Romero-Gómez, Manuel, Gómez-González, Emilio, Ampuero, Javier, Castell, Javier, Gallego-Durán, Rocío, Fernández, Isabel, Montero-Vallejo, Rocío, Karsdal, Morten, Rasmussen, Daniel Guldager Kring, Leeming, Diana Julie, Sinisi, Antonia, Musa, Kishwar, Sandt, Estelle, Tonini, Manuela, Bugianesi, Elisabetta, Rosso, Chiara, Armandi, Angelo, Marra, Fabio, Gastaldelli, Amalia, Svegliati, Gianluca, Boursier, Jérôme, Francque, Sven, Vonghia, Luisa, Driessen, Ann, Ekstedt, Mattias, Kechagias, Stergios, Yki-Järvinen, Hannele, Porthan, Kimmo, Arola, Johanna, van Mil, Saskia, Papatheodoridis, George, Cortez-Pinto, Helena, Rodrigues, Cecilia M P, Valenti, Luca, Pelusi, Serena, Petta, Salvatore, Pennisi, Grazia, Miele, Luca, Geier, Andreas, Trautwein, Christian, Reißing, Johanna, Aithal, Guruprasad P, Francis, Susan, Palaniyappan, Naaventhan, Bradley, Christopher, Hockings, Paul, Schneider, Moritz, Newsome, Philip, Hübscher, Stefan, Wenn, David, Rosenquist, Christian, Trylesinski, Aldo, Mayo, Rebeca, Alonso, Cristina, Duffin, Kevin, Perfield, James W, Chen, Yu, Yunis, Carla, Tuthill, Theresa, Harrington, Magdalena Alicia, Miller, Melissa, Chen, Yan, McLeod, Euan James, Ross, Trenton, Bernardo, Barbara, Schölch, Corinna, Ertle, Judith, Younes, Ramy, Oldenburger, Anouk, Coxson, Harvey, Ostroff, Rachel, Alexander, Leigh, Biegel, Hannah, Kjær, Mette Skalshøi, Harder, Lea Mørch, Davidsen, Peter, Ellegaard, Jens, Balp, Maria-Magdalena, Brass, Clifford, Jennings, Lori, Martic, Miljen, Löffler, Jürgen, Applegate, Douglas, Shankar, Sudha, Torstenson, Richard, Lindén, Daniel, Fournier-Poizat, Céline, Llorca, Anne, Kalutkiewicz, Michael, Pepin, Kay, Ehman, Richard, Horan, Gerald, Ho, Gideon, Tai, Dean, Chng, Elaine, Patterson, Scott D, Billin, Andrew, Doward, Lynda, Twiss, James, Thakker, Paresh, Derdak, Zoltan, Landgren, Henrik, Lackner, Carolin, Gouw, Annette, Hytiroglou, Prodromos, Mózes, Ferenc E, Lee, Jenny A, Alzoubi, Osama, Staufer, Katharina, Trauner, Michael, Paternostro, Rafael, Stauber, Rudolf E, van Dijk, Anne-Marieke, Mak, Anne Linde, de Saint Loup, Marc, Shima, Toshihide, Gaia, Silvia, Shalimar, Lupșor-Platon, Monica, Wong, Vincent Wai-Sun, Li, Guanlin, Wong, Grace Lai-Hung, Karlas, Thomas, Wiegand, Johannes, Sebastiani, Giada, Tsochatzis, Emmanuel, Liguori, Antonio, Yoneda, Masato, Nakajima, Atsushi, Hagström, Hannes, Akbari, Camilla, Hirooka, Masashi, Chan, Wah-Kheong, Mahadeva, Sanjiv, Rajaram, Ruveena, Zheng, Ming-Hua, George, Jacob, Eslam, Mohammed, Viganò, Mauro, Ridolfo, Sofia, Aithal, Guruprasad Padur, Lee, Dae Ho, Nasr, Patrik, Cassinotto, Christophe, de Lédinghen, Victor, Mendoza, Yuly P, Noureddin, Mazen, Truong, Emily, and Harrison, Stephen A

Published
2023
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9. Biomarkers for staging fibrosis and non-alcoholic steatohepatitis in non-alcoholic fatty liver disease (the LITMUS project): a comparative diagnostic accuracy study

Author

Vali, Yasaman, Lee, Jenny, Boursier, Jerome, Petta, Salvatore, Wonders, Kristy, Tiniakos, Dina, Bedossa, Pierre, Geier, Andreas, Francque, Sven, Allison, Mike, Papatheodoridis, Georgios, Cortez-Pinto, Helena, Pais, Raluca, Dufour, Jean-Francois, Leeming, Diana Julie, Harrison, Stephen A, Chen, Yu, Cobbold, Jeremy F, Pavlides, Michael, Holleboom, Adriaan G, Yki-Jarvinen, Hannele, Crespo, Javier, Karsdal, Morten, Ostroff, Rachel, Zafarmand, Mohammad Hadi, Torstenson, Richard, Duffin, Kevin, Yunis, Carla, Brass, Clifford, Ekstedt, Mattias, Aithal, Guruprasad P, Schattenberg, Jörn M, Bugianesi, Elisabetta, Romero-Gomez, Manuel, Ratziu, Vlad, Anstee, Quentin M, and Bossuyt, Patrick M

Published
2023
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10. A serologically assessed neo-epitope biomarker of cellular fibronectin degradation is related to pulmonary fibrosis

Author

Hansen, Annika Hummersgaard, Breisnes, Helene Wallem, Prior, Thomas Skovhus, Hilberg, Ole, Rasmussen, Daniel Guldager Kring, Genovese, Federica, Lukassen, Marie Vestergaard, Svensson, Birte, Langholm, Lasse Løcke, Manon-Jensen, Tina, Karsdal, Morten Asser, Leeming, Diana Julie, Bendstrup, Elisabeth, and Sand, Jannie Marie Bülow

Published
2023
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16. Among simple non-invasive scores, Pro-C3 and ADAPT best exclude advanced fibrosis in Asian patients with MAFLD

Author

Tang, Liang-Jie, Ma, Hong-Lei, Eslam, Mohammed, Wong, Grace Lai-Hung, Zhu, Pei-Wu, Chen, Sui-Dan, Leeming, Diana Julie, Karsdal, Morten, Li, Gang, Huang, Ou-Yang, Leung, Howard Ho-Wai, Zhou, Yu-Jie, Feng, Qian, Jiang, Pei, Gao, Li-Mei, Byrne, Christopher D., Targher, Giovanni, George, Jacob, Wong, Vincent Wai-Sun, and Zheng, Ming-Hua

Published
2022
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17. Performance of novel collagen turnover biomarkers to detect increased liver stiffness in MASLD.

Author

Hegmar, Hannes, Wiggers, Thomas, Nasr, Patrik, Vessby, Johan, Kechagias, Stergios, Nyhlin, Nils, Marschall, Hanns‐Ulrich, Borssén, Åsa Danielsson, Strandberg, Rickard, Karsdal, Morten, Leeming, Diana Julie, Ekstedt, Mattias, and Hagström, Hannes

Subjects
COLLAGEN, BIOMARKERS, PLATELET count, LIVER, HEPATIC fibrosis
Abstract

Background: Cleavage products from collagen formation and degradation hold potential as first‐line biomarkers for the risk of advanced fibrosis in patients with metabolic dysfunction‐associated steatotic liver disease (MASLD). Here, we evaluated the performance of PRO‐C3, PRO‐C6, C4M, PRO‐C18L, and the clinical score ADAPT (age, diabetes, PRO‐C3, and platelet count) to detect patients with an LSM >8 kPa or >12 kPa in comparison to the Fibrosis‐4 Index (FIB‐4). Methods: Serum from patients with MASLD (n = 269) from six Swedish University Hospitals was analyzed using enzyme‐linked immunosorbent assay‐based methods. Liver stiffness measurement (LSM) by vibration‐controlled transient elastography was performed. The area under the curve (AUC), calibration curves, and net benefit analysis were used. Results: An LSM >8 kPa was found in 108 (40.1%) patients. PRO‐C3, PRO‐C6, C4M, and PRO‐C18L had AUCs ranging from 0.48 to 0.62. ADAPT had the highest AUC (0.73, 95% confidence interval [CI] = 0.67–0.79) to detect patients >8 kPa, compared to FIB‐4 (0.71, (95%CI = 0.64–0.77, p = 0.35), and had a higher net benefit compared to FIB‐4 from a probability threshold of 15%. FIB‐4 and ADAPT performed equally well to detect patients with an LSM >12 kPa, AUC 0.76 versus 0.76, p = 0.93. Conclusions: ADAPT seems to be marginally better than FIB‐4 in identifying patients with an LSM >8 kPa. However, the clinical utility of ADAPT as a first line test is uncertain, especially in low‐risk populations. The overall performance of FIB‐4 was similar to that of ADAPT in detecting patients with an LSM of >12 kPa. Altogether, the results suggest that ADAPT might be useful to detect earlier stages of fibrosis in MASLD, but that FIB‐4 remains a first‐line test for advanced fibrosis. [ABSTRACT FROM AUTHOR]

Published
2024
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18. Serum PRO‐C3 is useful for risk prediction and fibrosis assessment in MAFLD with chronic kidney disease in an Asian cohort

Author

Tang, Liang‐Jie, primary, Sun, Dan‐Qin, additional, Song, Sherlot Juan, additional, Yip, Terry Cheuk‐Fung, additional, Wong, Grace Lai‐Hung, additional, Zhu, Pei‐Wu, additional, Chen, Sui‐Dan, additional, Karsdal, Morten, additional, Leeming, Diana Julie, additional, Jiang, Pei, additional, Wang, Cong, additional, Chen, Qiang, additional, Byrne, Christopher D., additional, Targher, Giovanni, additional, Eslam, Mohammed, additional, George, Jacob, additional, Wong, Vincent Wai‐Sun, additional, and Zheng, Ming‐Hua, additional

Published
2024
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19. Review: Opportunities and barriers for omics-based biomarker discovery in steatotic liver diseases

Author

Thiele, Maja, primary, Villesen, Ida Falk, additional, Niu, Lili, additional, Johansen, Stine, additional, Sulek, Karolina, additional, Nishijima, Suguru, additional, Van Espen, Lore, additional, Keller, Marisa, additional, Israelsen, Mads, additional, Suvitaival, Tommi, additional, de Zawadzki, Andressa, additional, Juel, Helene Bæk, additional, Brol, Maximilian Joseph, additional, Stinson, Sara Elisabeth, additional, Huang, Yun, additional, Alvarez Silva, Maria Camilla, additional, Kuhn, Michael, additional, Anastasiadou, Ema, additional, Leeming, Diana Julie, additional, Karsdal, Morten, additional, Matthijnssens, Jelle, additional, Arumugam, Manimozhiyan, additional, Dalgaard, Louise Torp, additional, Legido-Quigley, Cristina, additional, Mann, Mathias, additional, Trebicka, Jonel, additional, Bork, Peer, additional, Jensen, Lars Juhl, additional, Hansen, Torben, additional, Krag, Aleksander, additional, Israelsen, Hans, additional, Melberg, Hans Olav, additional, Thiele, Maja, additional, and Mann, Matthias, additional

Published
2024
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25. A Serological Neoepitope Biomarker of Neutrophil Elastase-Degraded Calprotectin, Associated with Neutrophil Activity, Identifies Idiopathic Pulmonary Fibrosis and Chronic Obstructive Pulmonary Disease More Effectively Than Total Calprotectin

Author

Hansen, Annika Hummersgaard, primary, Mortensen, Joachim Høg, additional, Rønnow, Sarah Rank, additional, Karsdal, Morten Asser, additional, Leeming, Diana Julie, additional, and Sand, Jannie Marie Bülow, additional

Published
2023
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27. Bone morphogenetic protein 8B promotes the progression of non-alcoholic steatohepatitis

Author

Vacca, Michele, Leslie, Jack, Virtue, Samuel, Lam, Brian Y. H., Govaere, Olivier, Tiniakos, Dina, Snow, Sophie, Davies, Susan, Petkevicius, Kasparas, Tong, Zhen, Peirce, Vivian, Nielsen, Mette Juul, Ament, Zsuzsanna, Li, Wei, Kostrzewski, Tomasz, Leeming, Diana Julie, Ratziu, Vlad, Allison, Michael E. D., Anstee, Quentin M., Griffin, Julian L., Oakley, Fiona, and Vidal-Puig, Antonio

Published
2020
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28. Serum PRO-C3 is useful for risk prediction and fibrosis assessment in MAFLD with chronic kidney disease

Author

Tang, Liang-Jie, primary, Sun, Dan-Qin, additional, Song, Sherlot Juan, additional, Yip, Terry Cheuk-Fung, additional, Wong, Grace Lai-Hung, additional, Zhu, Pei-Wu, additional, Chen, Sui-Dan, additional, Karsdal, Morten, additional, Leeming, Diana Julie, additional, Jiang, Pei, additional, Wang, Cong, additional, Chen, Qiang, additional, Byrne, Christopher, additional, Targher, Giovanni, additional, Eslam, Mohammed, additional, George, Jacob, additional, Wong, Vincent Wai-Sun, additional, and Zheng, Ming-Hua, additional

Published
2023
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29. Serum collagen biomarkers are related to fatal outcome in patients with severe COVID-19 in a Phase II clinical trial

Author

Breisnes, Helene Wallem, primary, Nielsen, Signe Holm, additional, Bager, Cecilie, additional, Leeming, Diana Julie, additional, Cahn, Tony, additional, O’Shea, Ciara, additional, Siderfin, Jack, additional, Hove, Kai, additional, Layton, Mark, additional, Bay-Jensen, Anne-Christine, additional, Sand, Jannie Marie Bülow, additional, and Mukherjee, Sumanta, additional

Published
2023
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33. Machine learning algorithm improves the detection of NASH (NAS-based) and at-risk NASH: A development and validation study

Author

Jenny, Lee, Max, Westphal, Yasaman, Vali, Jerome, Boursier, Salvatorre, Petta, Rachel, Ostroff, Leigh, Alexander, Yu, Chen, Celine, Fournier, Andreas, Geier, Sven, Francque, Kristy, Wonder, Dina, Tiniako, Pierre, Bedossa, Mike, Allison, Georgios, Papatheodoridi, Helena, Cortez-Pinto, Raluca, Pai, Jean-Francois, Dufour, Diana Julie, Leeming, Stephen, Harrison, Jeremy, Cobbold, Adriaan G, Holleboom, Hannele, Yki-Järvinen, Javier, Crespo, Mattias, Ekstedt, Guruprasad P, Aithal, Elisabetta, Bugianesi, Manuel, Romero-Gomez, Richard, Torstenson, Morten, Karsdal, Carla, Yuni, Jörn M, Schattenberg, Detlef, Schuppan, Vlad, Ratziu, Clifford, Bra, Kevin, Duffin, Koos, Zwinderman, Michael, Pavlide, Quentin M, Anstee, Patrick M, Bossuyt, Anstee, Quentin M., Daly, Ann K., Govaere, Olivier, Cockell, Simon, Tiniakos, Dina, Bedossa, Pierre, Burt, Alastair, Oakley, Fiona, Cordell, Heather J., Day, Christopher P., Wonders, Kristy, Missier, Paolo, Mcteer, Matthew, Vale, Luke, Oluboyede, Yemi, Breckons, Matt, Bossuyt, Patrick M., Zafarmand, Hadi, Vali, Yasaman, Lee, Jenny, Nieuwdorp, Max, Holleboom, Adriaan G., Verheij, Joanne, Ratziu, Vlad, Clément, Karine, Patino-Navarrete, Rafael, Pais, Raluca, Paradis, Valerie, Schuppan, Detlef, Schattenberg, Jörn M., Surabattula, Rambabu, Myneni, Sudha, Straub, Beate K., Vidal-Puig, Toni, Vacca, Michele, Rodrigues-Cuenca, Sergio, Allison, Mike, Kamzolas, Ioanni, Petsalaki, Evangelia, Campbell, Mark, Lelliott, Chris J., Davies, Susan, Orešič, Matej, Hyötyläinen, Tuulia, Mcglinchey, Aiden, Mato, Jose M., Millet, Óscar, Dufour, Jean-Françoi, Berzigotti, Annalisa, Masoodi, Mojgan, Pavlides, Michael, Harrison, Stephen, Neubauer, Stefan, Cobbold, Jeremy, Mozes, Ferenc, Akhtar, Salma, Olodo-Atitebi, Seliat, Banerjee, Rajarshi, Kelly, Matt, Shumbayawonda, Elizabeth, Dennis, Andrea, Andersson, Anneli, Wigley, Ioan, Romero-Gómez, Manuel, Gómez-González, Emilio, Ampuero, Javier, Castell, Javier, Gallego-Durán, Rocío, Fernández, Isabel, Montero-Vallejo, Rocío, Karsdal, Morten, Guldager Kring Rasmussen, Daniel, Leeming, Diana Julie, Sinisi, Antonia, Musa, Kishwar, Sandt, Estelle, Tonini, Manuela, Bugianesi, Elisabetta, Rosso, Chiara, Armandi, Angelo, Marra, Fabio, Gastaldelli, Amalia, Svegliati, Gianluca, Boursier, Jérôme, Francque, Sven, Vonghia, Luisa, Driessen, Ann, Ekstedt, Mattia, Kechagias, Stergio, Yki-Järvinen, Hannele, Porthan, Kimmo, Arola, Johanna, van Mil, Saskia, Papatheodoridis, George, Cortez-Pinto, Helena, Rodrigues, Cecilia M. P., Valenti, Luca, Pelusi, Serena, Petta, Salvatore, Pennisi, Grazia, Miele, Luca, Geier, Andrea, Trautwein, Christian, Aithal, Guruprasad P., Francis, Susan, Hockings, Paul, Schneider, Moritz, Newsome, Philip, Hübscher, Stefan, Wenn, David, Rosenquist, Christian, Trylesinski, Aldo, Mayo, Rebeca, Alonso, Cristina, Duffin, Kevin, Perfield, James W., Chen, Yu, Yunis, Carla, Tuthill, Theresa, Harrington, Magdalena Alicia, Miller, Melissa, Chen, Yan, Mcleod, Euan Jame, Ross, Trenton, Bernardo, Barbara, Schölch, Corinna, Ertle, Judith, Younes, Ramy, Oldenburger, Anouk, Ostroff, Rachel, Alexander, Leigh, Biegel, Hannah, Skalshøi Kjær, Mette, Mørch Harder, Lea, Davidsen, Peter, Mikkelsen, Lars Frii, Balp, Maria-Magdalena, Brass, Clifford, Jennings, Lori, Martic, Miljen, Löffler, Jürgen, Applegate, Dougla, Shankar, Sudha, Torstenson, Richard, Fournier-Poizat, Céline, Llorca, Anne, Kalutkiewicz, Michael, Pepin, Kay, Ehman, Richard, Horan, Gerald, Ho, Gideon, Tai, Dean, Chng, Elaine, Patterson, Scott D., Billin, Andrew, Doward, Lynda, Twiss, Jame, Thakker, Paresh, Landgren, Henrik, Lackner, Carolin, Gouw, Annette, Hytiroglou, Prodromos, Luca, Miele (ORCID:0000-0003-3464-0068), Jenny, Lee, Max, Westphal, Yasaman, Vali, Jerome, Boursier, Salvatorre, Petta, Rachel, Ostroff, Leigh, Alexander, Yu, Chen, Celine, Fournier, Andreas, Geier, Sven, Francque, Kristy, Wonder, Dina, Tiniako, Pierre, Bedossa, Mike, Allison, Georgios, Papatheodoridi, Helena, Cortez-Pinto, Raluca, Pai, Jean-Francois, Dufour, Diana Julie, Leeming, Stephen, Harrison, Jeremy, Cobbold, Adriaan G, Holleboom, Hannele, Yki-Järvinen, Javier, Crespo, Mattias, Ekstedt, Guruprasad P, Aithal, Elisabetta, Bugianesi, Manuel, Romero-Gomez, Richard, Torstenson, Morten, Karsdal, Carla, Yuni, Jörn M, Schattenberg, Detlef, Schuppan, Vlad, Ratziu, Clifford, Bra, Kevin, Duffin, Koos, Zwinderman, Michael, Pavlide, Quentin M, Anstee, Patrick M, Bossuyt, Anstee, Quentin M., Daly, Ann K., Govaere, Olivier, Cockell, Simon, Tiniakos, Dina, Bedossa, Pierre, Burt, Alastair, Oakley, Fiona, Cordell, Heather J., Day, Christopher P., Wonders, Kristy, Missier, Paolo, Mcteer, Matthew, Vale, Luke, Oluboyede, Yemi, Breckons, Matt, Bossuyt, Patrick M., Zafarmand, Hadi, Vali, Yasaman, Lee, Jenny, Nieuwdorp, Max, Holleboom, Adriaan G., Verheij, Joanne, Ratziu, Vlad, Clément, Karine, Patino-Navarrete, Rafael, Pais, Raluca, Paradis, Valerie, Schuppan, Detlef, Schattenberg, Jörn M., Surabattula, Rambabu, Myneni, Sudha, Straub, Beate K., Vidal-Puig, Toni, Vacca, Michele, Rodrigues-Cuenca, Sergio, Allison, Mike, Kamzolas, Ioanni, Petsalaki, Evangelia, Campbell, Mark, Lelliott, Chris J., Davies, Susan, Orešič, Matej, Hyötyläinen, Tuulia, Mcglinchey, Aiden, Mato, Jose M., Millet, Óscar, Dufour, Jean-Françoi, Berzigotti, Annalisa, Masoodi, Mojgan, Pavlides, Michael, Harrison, Stephen, Neubauer, Stefan, Cobbold, Jeremy, Mozes, Ferenc, Akhtar, Salma, Olodo-Atitebi, Seliat, Banerjee, Rajarshi, Kelly, Matt, Shumbayawonda, Elizabeth, Dennis, Andrea, Andersson, Anneli, Wigley, Ioan, Romero-Gómez, Manuel, Gómez-González, Emilio, Ampuero, Javier, Castell, Javier, Gallego-Durán, Rocío, Fernández, Isabel, Montero-Vallejo, Rocío, Karsdal, Morten, Guldager Kring Rasmussen, Daniel, Leeming, Diana Julie, Sinisi, Antonia, Musa, Kishwar, Sandt, Estelle, Tonini, Manuela, Bugianesi, Elisabetta, Rosso, Chiara, Armandi, Angelo, Marra, Fabio, Gastaldelli, Amalia, Svegliati, Gianluca, Boursier, Jérôme, Francque, Sven, Vonghia, Luisa, Driessen, Ann, Ekstedt, Mattia, Kechagias, Stergio, Yki-Järvinen, Hannele, Porthan, Kimmo, Arola, Johanna, van Mil, Saskia, Papatheodoridis, George, Cortez-Pinto, Helena, Rodrigues, Cecilia M. P., Valenti, Luca, Pelusi, Serena, Petta, Salvatore, Pennisi, Grazia, Miele, Luca, Geier, Andrea, Trautwein, Christian, Aithal, Guruprasad P., Francis, Susan, Hockings, Paul, Schneider, Moritz, Newsome, Philip, Hübscher, Stefan, Wenn, David, Rosenquist, Christian, Trylesinski, Aldo, Mayo, Rebeca, Alonso, Cristina, Duffin, Kevin, Perfield, James W., Chen, Yu, Yunis, Carla, Tuthill, Theresa, Harrington, Magdalena Alicia, Miller, Melissa, Chen, Yan, Mcleod, Euan Jame, Ross, Trenton, Bernardo, Barbara, Schölch, Corinna, Ertle, Judith, Younes, Ramy, Oldenburger, Anouk, Ostroff, Rachel, Alexander, Leigh, Biegel, Hannah, Skalshøi Kjær, Mette, Mørch Harder, Lea, Davidsen, Peter, Mikkelsen, Lars Frii, Balp, Maria-Magdalena, Brass, Clifford, Jennings, Lori, Martic, Miljen, Löffler, Jürgen, Applegate, Dougla, Shankar, Sudha, Torstenson, Richard, Fournier-Poizat, Céline, Llorca, Anne, Kalutkiewicz, Michael, Pepin, Kay, Ehman, Richard, Horan, Gerald, Ho, Gideon, Tai, Dean, Chng, Elaine, Patterson, Scott D., Billin, Andrew, Doward, Lynda, Twiss, Jame, Thakker, Paresh, Landgren, Henrik, Lackner, Carolin, Gouw, Annette, Hytiroglou, Prodromos, and Luca, Miele (ORCID:0000-0003-3464-0068)

Abstract

Background and aims: Detecting NASH remains challenging, while at-risk NASH (steatohepatitis and F≥ 2) tends to progress and is of interest for drug development and clinical application. We developed prediction models by supervised machine learning techniques, with clinical data and biomarkers to stage and grade patients with NAFLD. Approach and results: Learning data were collected in the Liver Investigation: Testing Marker Utility in Steatohepatitis metacohort (966 biopsy-proven NAFLD adults), staged and graded according to NASH CRN. Conditions of interest were the clinical trial definition of NASH (NAS ≥ 4;53%), at-risk NASH (NASH with F ≥ 2;35%), significant (F ≥ 2;47%), and advanced fibrosis (F ≥ 3;28%). Thirty-five predictors were included. Missing data were handled by multiple imputations. Data were randomly split into training/validation (75/25) sets. A gradient boosting machine was applied to develop 2 models for each condition: clinical versus extended (clinical and biomarkers). Two variants of the NASH and at-risk NASH models were constructed: direct and composite models.Clinical gradient boosting machine models for steatosis/inflammation/ballooning had AUCs of 0.94/0.79/0.72. There were no improvements when biomarkers were included. The direct NASH model produced AUCs (clinical/extended) of 0.61/0.65. The composite NASH model performed significantly better (0.71) for both variants. The composite at-risk NASH model had an AUC of 0.83 (clinical and extended), an improvement over the direct model. Significant fibrosis models had AUCs (clinical/extended) of 0.76/0.78. The extended advanced fibrosis model (0.86) performed significantly better than the clinical version (0.82). Conclusions: Detection of NASH and at-risk NASH can be improved by constructing independent machine learning models for each component, using only clinical predictors. Adding biomarkers only improved the accuracy of fibrosis.

Published
2023

34. Machine learning algorithm improves the detection of NASH (NAS-based) and at-risk NASH: A development and validation study

Author

Lee, Jenny, Westphal, Max, Vali, Yasaman, Boursier, Jerome, Petta, Salvatorre, Ostroff, Rachel, Alexander, Leigh, Chen, Yu, Fournier, Celine, Geier, Andreas, Francque, Sven, Wonders, Kristy, Tiniakos, Dina, Bedossa, Pierre, Allison, Mike, Papatheodoridis, Georgios, Cortez-Pinto, Helena, Pais, Raluca, Dufour, Jean-Francois, Leeming, Diana Julie, Harrison, Stephen, Cobbold, Jeremy, Holleboom, Adriaan G., Yki-Jarvinen, Hannele, Crespo, Javier, Ekstedt, Mattias, Aithal, Guruprasad P., Bugianesi, Elisabetta, Romero-Gomez, Manuel, Torstenson, Richard, Karsdal, Morten, Yunis, Carla, Schattenberg, Joern M., Schuppan, Detlef, Ratziu, Vlad, Brass, Clifford, Duffin, Kevin, Zwinderman, Koos, Pavlides, Michael, Anstee, Quentin M., Bossuyt, Patrick M., LITMUS Investigators, Lee, Jenny, Westphal, Max, Vali, Yasaman, Boursier, Jerome, Petta, Salvatorre, Ostroff, Rachel, Alexander, Leigh, Chen, Yu, Fournier, Celine, Geier, Andreas, Francque, Sven, Wonders, Kristy, Tiniakos, Dina, Bedossa, Pierre, Allison, Mike, Papatheodoridis, Georgios, Cortez-Pinto, Helena, Pais, Raluca, Dufour, Jean-Francois, Leeming, Diana Julie, Harrison, Stephen, Cobbold, Jeremy, Holleboom, Adriaan G., Yki-Jarvinen, Hannele, Crespo, Javier, Ekstedt, Mattias, Aithal, Guruprasad P., Bugianesi, Elisabetta, Romero-Gomez, Manuel, Torstenson, Richard, Karsdal, Morten, Yunis, Carla, Schattenberg, Joern M., Schuppan, Detlef, Ratziu, Vlad, Brass, Clifford, Duffin, Kevin, Zwinderman, Koos, Pavlides, Michael, Anstee, Quentin M., Bossuyt, Patrick M., and LITMUS Investigators

Abstract

Background and Aims: Detecting NASH remains challenging, while at-risk NASH (steatohepatitis and F >= 2) tends to progress and is of interest for drug development and clinical application. We developed prediction models by supervised machine learning techniques, with clinical data and biomarkers to stage and grade patients with NAFLD. Approach and Results: Learning data were collected in the Liver Investigation: Testing Marker Utility in Steatohepatitis metacohort (966 biopsy-proven NAFLD adults), staged and graded according to NASH CRN. Conditions of interest were the clinical trial definition of NASH (NAS >= 4;53%), at-risk NASH (NASH with F >= 2;35%), significant (F >= 2;47%), and advanced fibrosis (F >= 3;28%). Thirty-five predictors were included. Missing data were handled by multiple imputations. Data were randomly split into training/validation (75/25) sets. A gradient boosting machine was applied to develop 2 models for each condition: clinical versus extended (clinical and biomarkers). Two variants of the NASH and at-risk NASH models were constructed: direct and composite models.Clinical gradient boosting machine models for steatosis/inflammation/ballooning had AUCs of 0.94/0.79/0.72. There were no improvements when biomarkers were included. The direct NASH model produced AUCs (clinical/extended) of 0.61/0.65. The composite NASH model performed significantly better (0.71) for both variants. The composite at-risk NASH model had an AUC of 0.83 (clinical and extended), an improvement over the direct model. Significant fibrosis models had AUCs (clinical/extended) of 0.76/0.78. The extended advanced fibrosis model (0.86) performed significantly better than the clinical version (0.82). Conclusions: Detection of NASH and at-risk NASH can be improved by constructing independent machine learning models for each component, using only clinical predictors. Adding biomarkers only improved the accuracy of fibrosis., Funding Agencies|Jenny Lee, Quentin M. Anstee, and Pierre Bedossa conceptualized and designed the study; Jerome Boursier, Salvatore Petta, Kristy Wonders, Dina Tiniakos, Pierre Bedossa, Andreas Geier, Sven Francque, Mike Allison, Georgios Papatheodoridis, Helena Cortez-Pin

Published
2023
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35. Machine learning algorithm improves the detection of NASH (NAS-based) and at-risk NASH: A development and validation study

Author

Innovative Medicines Initiative, European Commission, Research Foundation - Flanders, Lee, Jenny, Westphal, Max, Vali, Yasaman, Boursier, Jerome, Petta, Salvatorre, Ostroff, Rachel, Alexander, Leigh, Chen, Yu, Fournier, Celine, Geier, Andreas, Francque, Sven, Wonders, Kristy, Tiniakos, Dina, Bedossa, Pierre, Allison, Mike, Papatheodoridis, Georgios, Cortez-Pinto, Helena, Pais, Raluca, Dufour, Jean-François, Leeming, Diana Julie, Harrison, Stephen, Cobbold, Jeremy, Holleboom, Adriaan G., Yki-Järvinen, Hannele, Crespo, Javier, Ekstedt, Mattias, Aithal, Guruprasad P., Bugianesi, Elisabetta, Romero-Gómez, Manuel, Torstenson, Richard, Karsdal, Morten, Yunis, Carla27, Schattenberg, Jörn M., Schuppan, Detlef, Ratziu, Vlad, Brass, Clifford, Duffin, Kevin, Zwinderman, Koos, Pavlides, Michael, Anstee, Quentin M., Bossuyt, Patrick M., LITMUS investigators, Innovative Medicines Initiative, European Commission, Research Foundation - Flanders, Lee, Jenny, Westphal, Max, Vali, Yasaman, Boursier, Jerome, Petta, Salvatorre, Ostroff, Rachel, Alexander, Leigh, Chen, Yu, Fournier, Celine, Geier, Andreas, Francque, Sven, Wonders, Kristy, Tiniakos, Dina, Bedossa, Pierre, Allison, Mike, Papatheodoridis, Georgios, Cortez-Pinto, Helena, Pais, Raluca, Dufour, Jean-François, Leeming, Diana Julie, Harrison, Stephen, Cobbold, Jeremy, Holleboom, Adriaan G., Yki-Järvinen, Hannele, Crespo, Javier, Ekstedt, Mattias, Aithal, Guruprasad P., Bugianesi, Elisabetta, Romero-Gómez, Manuel, Torstenson, Richard, Karsdal, Morten, Yunis, Carla27, Schattenberg, Jörn M., Schuppan, Detlef, Ratziu, Vlad, Brass, Clifford, Duffin, Kevin, Zwinderman, Koos, Pavlides, Michael, Anstee, Quentin M., Bossuyt, Patrick M., and LITMUS investigators

Abstract

[Background and Aims] Detecting NASH remains challenging, while at-risk NASH (steatohepatitis and F≥ 2) tends to progress and is of interest for drug development and clinical application. We developed prediction models by supervised machine learning techniques, with clinical data and biomarkers to stage and grade patients with NAFLD., [Approach and Results] Learning data were collected in the Liver Investigation: Testing Marker Utility in Steatohepatitis metacohort (966 biopsy-proven NAFLD adults), staged and graded according to NASH CRN. Conditions of interest were the clinical trial definition of NASH (NAS ≥ 4;53%), at-risk NASH (NASH with F ≥ 2;35%), significant (F ≥ 2;47%), and advanced fibrosis (F ≥ 3;28%). Thirty-five predictors were included. Missing data were handled by multiple imputations. Data were randomly split into training/validation (75/25) sets. A gradient boosting machine was applied to develop 2 models for each condition: clinical versus extended (clinical and biomarkers). Two variants of the NASH and at-risk NASH models were constructed: direct and composite models. Clinical gradient boosting machine models for steatosis/inflammation/ballooning had AUCs of 0.94/0.79/0.72. There were no improvements when biomarkers were included. The direct NASH model produced AUCs (clinical/extended) of 0.61/0.65. The composite NASH model performed significantly better (0.71) for both variants. The composite at-risk NASH model had an AUC of 0.83 (clinical and extended), an improvement over the direct model. Significant fibrosis models had AUCs (clinical/extended) of 0.76/0.78. The extended advanced fibrosis model (0.86) performed significantly better than the clinical version (0.82)., [Conclusions] Detection of NASH and at-risk NASH can be improved by constructing independent machine learning models for each component, using only clinical predictors. Adding biomarkers only improved the accuracy of fibrosis.

Published
2023

36. Biomarkers for staging fibrosis and non-alcoholic steatohepatitis in non-alcoholic fatty liver disease (the LITMUS project): a comparative diagnostic accuracy study

Author

Innovative Medicines Initiative, European Commission, Vali, Yasaman, Lee, Jenny, Boursier, Jerome, Petta, Salvatore, Wonders, Kristy, Tiniakos, Dina, Bedossa, Pierre, Geier, Andreas, Francque, Sven, Allison, Mike, Papatheodoridis, Georgios, Cortez-Pinto, Helena, Pais, Raluca, Dufour, Jean-François, Leeming, Diana Julie, Harrison, Stephen A., Chen, Yu, Cobbold, Jeremy F., Pavlides, Michael, Holleboom, Adriaan G., Yki-Jarvinen, Hannele, Crespo, Javier, Karsdal, Morten, Ostroff, Rachel, Zafarmand, Mohammad Hadi, Torstenson, Richard, Duffin, Kevin, Yunis, Carla, Brass, Clifford, Ekstedt, Mattias, Aithal, Guruprasad P., Schattenberg, Jörn M., Bugianesi, Elisabetta, Romero-Gómez, Manuel, Ratziu, Vlad, Anstee, Quentin M., Bossuyt, Patrick M., on behalf of theLiver Investigation: Testing Marker Utility in Steatohepatitis (LITMUS) consortium investigators, Innovative Medicines Initiative, European Commission, Vali, Yasaman, Lee, Jenny, Boursier, Jerome, Petta, Salvatore, Wonders, Kristy, Tiniakos, Dina, Bedossa, Pierre, Geier, Andreas, Francque, Sven, Allison, Mike, Papatheodoridis, Georgios, Cortez-Pinto, Helena, Pais, Raluca, Dufour, Jean-François, Leeming, Diana Julie, Harrison, Stephen A., Chen, Yu, Cobbold, Jeremy F., Pavlides, Michael, Holleboom, Adriaan G., Yki-Jarvinen, Hannele, Crespo, Javier, Karsdal, Morten, Ostroff, Rachel, Zafarmand, Mohammad Hadi, Torstenson, Richard, Duffin, Kevin, Yunis, Carla, Brass, Clifford, Ekstedt, Mattias, Aithal, Guruprasad P., Schattenberg, Jörn M., Bugianesi, Elisabetta, Romero-Gómez, Manuel, Ratziu, Vlad, Anstee, Quentin M., Bossuyt, Patrick M., and on behalf of theLiver Investigation: Testing Marker Utility in Steatohepatitis (LITMUS) consortium investigators

Abstract

[Background] The reference standard for detecting non-alcoholic steatohepatitis (NASH) and staging fibrosis—liver biopsy—is invasive and resource intensive. Non-invasive biomarkers are urgently needed, but few studies have compared these biomarkers in a single cohort. As part of the Liver Investigation: Testing Marker Utility in Steatohepatitis (LITMUS) project, we aimed to evaluate the diagnostic accuracy of 17 biomarkers and multimarker scores in detecting NASH and clinically significant fibrosis in patients with non-alcoholic fatty liver disease (NAFLD) and identify their optimal cutoffs as screening tests in clinical trial recruitment., [Methods] This was a comparative diagnostic accuracy study in people with biopsy-confirmed NAFLD from 13 countries across Europe, recruited between Jan 6, 2010, and Dec 29, 2017, from the LITMUS metacohort of the prospective European NAFLD Registry. Adults (aged ≥18 years) with paired liver biopsy and serum samples were eligible; those with excessive alcohol consumption or evidence of other chronic liver diseases were excluded. The diagnostic accuracy of the biomarkers was expressed as the area under the receiver operating characteristic curve (AUC) with liver histology as the reference standard and compared with the Fibrosis-4 index for liver fibrosis (FIB-4) in the same subgroup. Target conditions were the presence of NASH with clinically significant fibrosis (ie, at-risk NASH; NAFLD Activity Score ≥4 and F≥2) or the presence of advanced fibrosis (F≥3), analysed in all participants with complete data. We identified thres holds for each biomarker for reducing the number of biopsy-based screen failures when recruiting people with both NASH and clinically significant fibrosis for future trials., [Findings] Of 1430 participants with NAFLD in the LITMUS metacohort with serum samples, 966 (403 women and 563 men) were included after all exclusion criteria had been applied. 335 (35%) of 966 participants had biopsy-confirmed NASH and clinically significant fibrosis and 271 (28%) had advanced fibrosis. For people with NASH and clinically significant fibrosis, no single biomarker or multimarker score significantly reached the predefined AUC 0·80 acceptability threshold (AUCs ranging from 0·61 [95% CI 0·54–0·67] for FibroScan controlled attenuation parameter to 0·81 [0·75–0·86] for SomaSignal), with accuracy mostly similar to FIB-4. Regarding detection of advanced fibrosis, SomaSignal (AUC 0·90 [95% CI 0·86–0·94]), ADAPT (0·85 [0·81–0·89]), and FibroScan liver stiffness measurement (0·83 [0·80–0·86]) reached acceptable accuracy. With 11 of 17 markers, histological screen failure rates could be reduced to 33% in trials if only people who were marker positive had a biopsy for evaluating eligibility. The best screening performance for NASH and clinically significant fibrosis was observed for SomaSignal (number needed to test [NNT] to find one true positive was four [95% CI 4–5]), then ADAPT (six [5–7]), MACK-3 (seven [6–8]), and PRO-C3 (nine [7–11])., [Interpretation] None of the single markers or multimarker scores achieved the predefined acceptable AUC for replacing biopsy in detecting people with both NASH and clinically significant fibrosis. However, several biomarkers could be applied in a prescreening strategy in clinical trial recruitment. The performance of promising markers will be further evaluated in the ongoing prospective LITMUS study cohort.

Published
2023

40. Cross-Sectional and Longitudinal Performance of Non-Invasive Tests of Liver Fibrosis in Patients with Non-Alcoholic Fatty Liver Disease

Author

Armandi, Angelo, primary, Rosso, Chiara, additional, Younes, Ramy, additional, Leeming, Diana Julie, additional, Karsdal, Morten A., additional, Caviglia, Gian Paolo, additional, Pérez-Diaz-del-Campo, Nuria, additional, D’Amato, Daphne, additional, Abdulle, Amina, additional, Nicolosi, Aurora, additional, Castelnuovo, Gabriele, additional, Saracco, Giorgio Maria, additional, Ribaldone, Davide Giuseppe, additional, and Bugianesi, Elisabetta, additional

Published
2023
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41. N-terminal propeptide of type 3 collagen-based sequential algorithm can identify high-risk steatohepatitis and fibrosis in MAFLD

Author

Tang, Liang-Jie, primary, Li, Gang, additional, Eslam, Mohammed, additional, Zhu, Pei-Wu, additional, Chen, Sui-Dan, additional, Leung, Howard Ho-Wai, additional, Huang, Ou-Yang, additional, Wong, Grace Lai-Hung, additional, Zhou, Yu-Jie, additional, Karsdal, Morten, additional, Leeming, Diana Julie, additional, Jiang, Pei, additional, Wang, Cong, additional, Yuan, Hai-Yang, additional, Byrne, Christopher D., additional, Targher, Giovanni, additional, George, Jacob, additional, Wong, Vincent Wai-Sun, additional, and Zheng, Ming-Hua, additional

Published
2022
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42. Systemic inflammation is linked to liver fibrogenesis in patients with advanced chronic liver disease

Author

Simbrunner, Benedikt, primary, Villesen, Ida Falk, additional, Königshofer, Philipp, additional, Scheiner, Bernhard, additional, Bauer, David, additional, Paternostro, Rafael, additional, Schwabl, Philipp, additional, Timelthaler, Gerald, additional, Ramazanova, Dariga, additional, Wöran, Katharina, additional, Stift, Judith, additional, Eigenbauer, Ernst, additional, Stättermayer, Albert Friedrich, additional, Marculescu, Rodrig, additional, Pinter, Matthias, additional, Møller, Søren, additional, Trauner, Michael, additional, Karsdal, Morten, additional, Leeming, Diana Julie, additional, Reiberger, Thomas, additional, and Mandorfer, Mattias, additional

Published
2022
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43. Biomarkers of Clot Activation and Degradation and Risk of Future Major Cardiovascular Events in Acute Exacerbation of COPD: A Cohort Sub-Study in a Randomized Trial Population

Author

Kamstrup, Peter, primary, Sand, Jannie Marie Bülow, additional, Ulrik, Charlotte Suppli, additional, Janner, Julie, additional, Rønn, Christian Philip, additional, Rønnow, Sarah Rank, additional, Leeming, Diana Julie, additional, Jensen, Sidse Graff, additional, Wilcke, Torgny, additional, Mathioudakis, Alexander G., additional, Miravitlles, Marc, additional, Lapperre, Therese, additional, Bendstrup, Elisabeth, additional, Frikke-Schmidt, Ruth, additional, Murray, Daniel D., additional, Itenov, Theis, additional, Bossios, Apostolos, additional, Nielsen, Susanne Dam, additional, Vestbo, Jørgen, additional, Biering-Sørensen, Tor, additional, Karsdal, Morten, additional, Jensen, Jens-Ulrik, additional, and Sivapalan, Pradeesh, additional

Published
2022
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44. Performance of non-invasive tests and histology for the prediction of clinical outcomes in patients with non-alcoholic fatty liver disease: an individual participant data meta-analysis

Author

Mózes, Ferenc E, Lee, Jenny A, Vali, Yasaman, Alzoubi, Osama, Staufer, Katharina, Trauner, Michael, Paternostro, Rafael, Stauber, Rudolf E, Holleboom, Adriaan G, van Dijk, Anne-Marieke, Mak, Anne Linde, Boursier, Jérôme, de Saint Loup, Marc, Shima, Toshihide, Bugianesi, Elisabetta, Gaia, Silvia, Armandi, Angelo, Shalimar, Lupșor-Platon, Monica, Wong, Vincent Wai-Sun, Li, Guanlin, Wong, Grace Lai-Hung, Cobbold, Jeremy, Karlas, Thomas, Wiegand, Johannes, Sebastiani, Giada, Tsochatzis, Emmanuel, Liguori, Antonio, Yoneda, Masato, Nakajima, Atsushi, Hagström, Hannes, Akbari, Camilla, Hirooka, Masashi, Chan, Wah-Kheong, Mahadeva, Sanjiv, Rajaram, Ruveena, Zheng, Ming-Hua, George, Jacob, Eslam, Mohammed, Petta, Salvatore, Pennisi, Grazia, Viganò, Mauro, Ridolfo, Sofia, Aithal, Guruprasad Padur, Palaniyappan, Naaventhan, Lee, Dae Ho, Ekstedt, Mattias, Nasr, Patrik, Cassinotto, Christophe, de Lédinghen, Victor, Berzigotti, Annalisa, Mendoza, Yuly P, Noureddin, Mazen, Truong, Emily, Fournier-Poizat, Céline, Geier, Andreas, Martic, Miljen, Tuthill, Theresa, Anstee, Quentin M, Harrison, Stephen A, Bossuyt, Patrick M, Pavlides, Michael, Anstee, Quentin M, Daly, Ann K, Govaere, Olivier, Cockell, Simon, Tiniakos, Dina, Bedossa, Pierre, Burt, Alastair, Oakley, Fiona, Cordell, Heather J, Day, Christopher P, Wonders, Kristy, Missier, Paolo, McTeer, Matthew, Vale, Luke, Oluboyede, Yemi, Breckons, Matt, Bossuyt, Patrick M, Zafarmand, Hadi, Vali, Yasaman, Lee, Jenny, Nieuwdorp, Max, Holleboom, Adriaan G, Verheij, Joanne, Ratziu, Vlad, Clément, Karine, Patino-Navarrete, Rafael, Pais, Raluca, Paradis, Valerie, Schuppan, Detlef, Schattenberg, Jörn M, Surabattula, Rambabu, Myneni, Sudha, Straub, Beate K, Vidal-Puig, Toni, Vacca, Michele, Rodrigues-Cuenca, Sergio, Allison, Mike, Kamzolas, Ioannis, Petsalaki, Evangelia, Campbell, Mark, Lelliott, Chris J, Davies, Susan, Orešič, Matej, Hyötyläinen, Tuulia, McGlinchey, Aiden, Mato, Jose M, Millet, Óscar, Dufour, Jean-François, Berzigotti, Annalisa, Masoodi, Mojgan, Pavlides, Michael, Harrison, Stephen, Neubauer, Stefan, Cobbold, Jeremy, Mozes, Ferenc, Akhtar, Salma, Olodo-Atitebi, Seliat, Banerjee, Rajarshi, Kelly, Matt, Shumbayawonda, Elizabeth, Dennis, Andrea, Andersson, Anneli, Wigley, Ioan, Romero-Gómez, Manuel, Gómez-González, Emilio, Ampuero, Javier, Castell, Javier, Gallego-Durán, Rocío, Fernández, Isabel, Montero-Vallejo, Rocío, Karsdal, Morten, Rasmussen, Daniel Guldager Kring, Leeming, Diana Julie, Sinisi, Antonia, Musa, Kishwar, Sandt, Estelle, Tonini, Manuela, Bugianesi, Elisabetta, Rosso, Chiara, Armandi, Angelo, Marra, Fabio, Gastaldelli, Amalia, Svegliati, Gianluca, Boursier, Jérôme, Francque, Sven, Vonghia, Luisa, Driessen, Ann, Ekstedt, Mattias, Kechagias, Stergios, Yki-Järvinen, Hannele, Porthan, Kimmo, Arola, Johanna, van Mil, Saskia, Papatheodoridis, George, Cortez-Pinto, Helena, Rodrigues, Cecilia M P, Valenti, Luca, Pelusi, Serena, Petta, Salvatore, Pennisi, Grazia, Miele, Luca, Geier, Andreas, Trautwein, Christian, Reißing, Johanna, Aithal, Guruprasad P, Francis, Susan, Palaniyappan, Naaventhan, Bradley, Christopher, Hockings, Paul, Schneider, Moritz, Newsome, Philip, Hübscher, Stefan, Wenn, David, Rosenquist, Christian, Trylesinski, Aldo, Mayo, Rebeca, Alonso, Cristina, Duffin, Kevin, Perfield, James W, Chen, Yu, Yunis, Carla, Tuthill, Theresa, Harrington, Magdalena Alicia, Miller, Melissa, Chen, Yan, McLeod, Euan James, Ross, Trenton, Bernardo, Barbara, Schölch, Corinna, Ertle, Judith, Younes, Ramy, Oldenburger, Anouk, Coxson, Harvey, Ostroff, Rachel, Alexander, Leigh, Biegel, Hannah, Kjær, Mette Skalshøi, Harder, Lea Mørch, Davidsen, Peter, Ellegaard, Jens, Balp, Maria-Magdalena, Brass, Clifford, Jennings, Lori, Martic, Miljen, Löffler, Jürgen, Applegate, Douglas, Shankar, Sudha, Torstenson, Richard, Lindén, Daniel, Fournier-Poizat, Céline, Llorca, Anne, Kalutkiewicz, Michael, Pepin, Kay, Ehman, Richard, Horan, Gerald, Ho, Gideon, Tai, Dean, Chng, Elaine, Patterson, Scott D, Billin, Andrew, Doward, Lynda, Twiss, James, Thakker, Paresh, Derdak, Zoltan, Landgren, Henrik, Lackner, Carolin, Gouw, Annette, and Hytiroglou, Prodromos

Abstract

Histologically assessed liver fibrosis stage has prognostic significance in patients with non-alcoholic fatty liver disease (NAFLD) and is accepted as a surrogate endpoint in clinical trials for non-cirrhotic NAFLD. Our aim was to compare the prognostic performance of non-invasive tests with liver histology in patients with NAFLD.

Published
2023
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45. Global multi-stakeholder endorsement of the MAFLD definition

Author

Méndez-Sánchez, Nahum, primary, Bugianesi, Elisabetta, additional, Gish, Robert G, additional, Lammert, Frank, additional, Tilg, Herbert, additional, Nguyen, Mindie H, additional, Sarin, Shiv K, additional, Fabrellas, Núria, additional, Zelber-Sagi, Shira, additional, Fan, Jian-Gao, additional, Shiha, Gamal, additional, Targher, Giovanni, additional, Zheng, Ming-Hua, additional, Chan, Wah-Kheong, additional, Vinker, Shlomo, additional, Kawaguchi, Takumi, additional, Castera, Laurent, additional, Yilmaz, Yusuf, additional, Korenjak, Marko, additional, Spearman, C Wendy, additional, Ungan, Mehmet, additional, Palmer, Melissa, additional, El-Shabrawi, Mortada, additional, Gruss, Hans-Juergen, additional, Dufour, Jean-François, additional, Dhawan, Anil, additional, Wedemeyer, Heiner, additional, George, Jacob, additional, Valenti, Luca, additional, Fouad, Yasser, additional, Romero‐Gomez, Manuel, additional, Eslam, Mohammed, additional, Abate, Maria Lorena, additional, Abbas, Bahaa, additional, Abbassy, Ahmed Amr, additional, Abd El Ghany, Waleed, additional, Abd Elkhalek, Amira, additional, Abd ElMajeed, Emad, additional, Abdalgaber, Mohammad, additional, AbdAllah, Mohamed, additional, Abdallah, Marwa, additional, Abdallah, Nourhan, additional, Abdelaleem, Shereen, additional, Abdelghani, Yasser, additional, Abdelghany, Wael, additional, Abdelhalim, Safaa Mohamed, additional, Abdelhamid, Wafaa, additional, Abdelhamid, Nehal, additional, Abdelkader, Nadia A., additional, Abdelkreem, Elsayed, additional, Abdelmohsen, Aly Mohamed, additional, Abdelrahman, Awny Ali, additional, Abd-elsalam, Sherief M, additional, Abdeltawab, Doaa, additional, Abduh, Abdulbaset, additional, Abdulhakam, Nada, additional, Abdulla, Maheeba, additional, Abedpoor, Navid, additional, Abenavoli, Ludovico, additional, Åberg, Fredrik, additional, Ablack, Omala, additional, Abo elftouh, Mostafa, additional, Abo-Amer, Yousry Esam-Eldin, additional, Aboubkr, Ashraf, additional, Aboud, Alaa, additional, Abouelnaga, Amr M., additional, Aboufarrag, Galal A., additional, Aboutaleb, Ashraf, additional, Abundis, Leticia, additional, Adalı, Gupse, additional, Adames, Enrique, additional, Adams, Leon, additional, Adda, Danjuma, additional, Adel, Noor, additional, Adel, Nada, additional, Adel Sayed, Muhammad, additional, Afaa, Taiba Jibril, additional, Afredj, Nawal, additional, Aghayeva, Gulnara, additional, Aghemo, Alessio, additional, Aguilar-Salinas, Carlos A., additional, Ahlenstiel, Golo, additional, Ahmady, Walid, additional, Ahmed, Wafaa, additional, Ahmed, Amira, additional, Ahmed, Samah Nasser, additional, Ahmed, Heba Mostafa, additional, Ahmed, Rasha, additional, Aigner, Elmar, additional, Akarsu, Mesut, additional, Akroush, Maisam, additional, Akyuz, Umit, additional, Al Mahtab, Mamun, additional, Al Qadiri, Tahani, additional, Al Rawahi, Yusriya, additional, AL rubaee, Razzaq, additional, Al Saffar, Muna, additional, Alam, Shahinul, additional, Al-Ani, Zaid, additional, Albillos, Agustín, additional, Alboraie, Mohamed, additional, Al-Busafi, Said, additional, Al-Emam, Mohamed, additional, Alharthi, Jawaher, additional, Ali, Kareem, additional, Ali, Basma Abdelmoez, additional, Ali, Mohammad, additional, Ali, Raja Affendi Raja, additional, Alisi, Anna, additional, AL-Khafaji, Ali Raad, additional, Alkhatry, Maryam, additional, Aller, Rocio, additional, Almansoury, Yahya, additional, Al-Naamani, Khalid, additional, Alnakeeb, Alaa, additional, Alonso, Anna, additional, Alqahtani, Saleh A., additional, Alrabadi, Leina, additional, Alswat, Khalid, additional, Altaher, Mahir, additional, Altamimi, Turki, additional, Altamirano, Jose, additional, Alvares-da-Silva, Mario R., additional, Aly, Elsragy Adel M., additional, Alzahaby, Amgad, additional, Alzamzamy, Ahmed, additional, Amano, Keisuke, additional, Amer, Maysa A., additional, Amin, Mona A., additional, Amin, Sayed A., additional, Amir, Ashraf A., additional, Ampuero, Javier, additional, Anas, Noha, additional, Andreone, Pietro, additional, Andriamandimby, Soa Fy, additional, Anees, Mahmoud, additional, Angela, Peltec, additional, Antonios, Manal, additional, Arafat, Wael, additional, Araya, Jose Moreno, additional, Armendariz-Borunda, Juan, additional, Armstrong, Matthew J., additional, Ashktorab, Hassan, additional, Aspichueta, Patricia, additional, Assal, Fathia, additional, Atef, Mira, additional, Attia, Dina, additional, Atwa, Hoda, additional, Awad, Reham, additional, Awad, Mohyeldeen Abd Elaziz, additional, Awny, Sally, additional, Awolowo, Obafemi, additional, Awuku, Yaw Asante, additional, Ayada, Ibrahim, additional, Aye, Than Than, additional, Ayman, Sherif, additional, Ayman, Hedy, additional, Ayoub, Hesham, additional, Azmy, Hosny M., additional, Babaran, Romiro P., additional, Badreldin, Omneya, additional, Badry, Ahmed, additional, Bahçecioğlu, İbrahim Halil, additional, Bahour, Amira, additional, Bai, Jiajia, additional, Balaban, Yasemin, additional, Balasubramanyam, Muthuswamy, additional, Bamakhrama, Khaled, additional, Banales, Jesus M, additional, Bangaru, Babu, additional, Bao, Jianfeng, additional, Barahona, Jorge Suazo, additional, Barakat, Salma, additional, Barbalho, Sandra Maria, additional, Barbra, Bikwa, additional, Barranco, Beatriz, additional, Barrera, Francisco, additional, Baumann, Ulrich, additional, Bazeed, Shamardan, additional, Bech, Eva, additional, Benayad, Aourarh, additional, Benesic, Andreas, additional, Bernstein, David, additional, Bessone, Fernando, additional, Birney, Susie, additional, Bisseye, Cyrille, additional, Blake, Martin, additional, Bobat, Bilal, additional, Bonfrate, Leonilde, additional, Bordin, Dmitry S, additional, Bosques-Padilla, Francisco, additional, Boursier, Jerome, additional, Boushab, Boushab Mohamed, additional, Bowen, David, additional, Bravo, Patricia Medina, additional, Brennan, Paul N, additional, Bright, Bisi, additional, Broekaert, Ilse, additional, Buque, Xabier, additional, Burgos-Santamaría, Diego, additional, Burman, Julio, additional, Busetto, Luca, additional, Byrne, Chris D., additional, Cabral-Prodigalidad, Patricia Anne I., additional, Cabrera-Alvarez, Guillermo, additional, Cai, Wei, additional, Cainelli, Francesca, additional, Caliskan, Ali Riza, additional, Canbay, Ali, additional, Cano-Contreras, Ana, additional, Cao, Hai-Xia, additional, Cao, Zhujun, additional, Carrion, Andres, additional, Carubbi, Francesca, additional, Casanovas, Teresa, additional, Castellanos Fernández, Marlen Ivón, additional, Chai, Jin, additional, Chan, Siew Pheng, additional, Charatcharoenwitthaya, Phunchai, additional, Chavez-Tapia, Norberto, additional, Chayama, Kazuaki, additional, Chen, Jinjun, additional, Chen, Lin, additional, Chen, Zhong-Wei, additional, Chen, Huiting, additional, Chen, Sui-Dan, additional, Chen, Qiang, additional, Chen, Yaxi, additional, Chen, Gang, additional, Chen, En-Quang, additional, Chen, Fei, additional, Chen, Pei-Jer, additional, Cheng, Robert, additional, Cheng, Wendy, additional, Chieh, Jack Tan Wei, additional, Chokr, Imad, additional, Cholongitas, Evangelos, additional, Choudhury, Ashok, additional, Chowdhury, Abhijit, additional, Chukwudike, Evaristus Sunday, additional, Ciardullo, Stefano, additional, Clayton, Michelle, additional, Clement, Karine, additional, Cloa, Marie Michelle, additional, Coccia, Cecilia, additional, Collazos, Cristina, additional, Colombo, Massimo, additional, Cosar, Arif Mansur, additional, Cotrim, Helma Pinchemel, additional, Couillerot, Joris, additional, Coulibaly, Alioune, additional, Crespo, Gonzalo, additional, Crespo, Javier, additional, Cruells, Maria, additional, Cua, Ian Homer Y., additional, Dabbous, Hesham K., additional, Dalekos, George N, additional, D'Alia, Patricia, additional, Dan, Li, additional, Dao, Viet Hang, additional, Darwish, Mostafa, additional, Datz, Christian, additional, Davalos-Moscol, Milagros B, additional, Dawoud, Heba, additional, de Careaga, Blanca Olaechea, additional, de Knegt, Robert, additional, de Ledinghen, Victor, additional, de Silva, Janaka, additional, Debzi, Nabil, additional, Decraecker, Marie, additional, Del Pozo, Elvira, additional, Delgado, Teresa C, additional, Delgado-Blanco, Manuel, additional, Dembiński, Łukasz, additional, Depina, Adilson, additional, Derbala, Moutaz, additional, Desalegn, Hailemichael, additional, Desbois-Mouthon, Christèle, additional, Desoky, Mahmoud, additional, Dev, Anouk, additional, Di Ciaula, Agostino, additional, Diago, Moisés, additional, Diallo, Ibrahima, additional, Díaz, Luis Antonio, additional, Dirchwolf, Melisa, additional, Dongiovanni, Paola, additional, Dorofeyev, Andrriy, additional, Dou, Xiaoguang, additional, Douglas, Mark W., additional, Doulberis, Michael, additional, Dovia, Cecil K., additional, Doyle, Adam, additional, Dragojević, Ivana, additional, Drenth, Joost PH, additional, Duan, Xuefei, additional, Dulskas, Audrius, additional, Dumitrascu, Dan L, additional, Duncan, Oliver, additional, Dusabejambo, Vincent, additional, Dwawhi, Rev. Shem N.A., additional, Eiketsu, Sho, additional, El Amrousy, Doaa, additional, El Deeb, Ahmed, additional, El Deriny, Ghada, additional, El Din, Hesham Salah, additional, El Kamshishy, Salwa, additional, El Kassas, Mohamed, additional, El Raziky, Maissa, additional, Elagamy, Osama A, additional, Elakel, Wafaa, additional, Elalfy, Dina, additional, Elaraby, Hanaa, additional, ElAwady, Heba, additional, Elbadawy, Reda, additional, Eldash, Hanaa Hassan, additional, Eldefrawy, Manal S., additional, Elecharri, Carol Lezama, additional, Elfaramawy, Amel, additional, Elfatih, Mohammed, additional, Elfiky, Mahmoud, additional, Elgamsy, Mohamed, additional, Elgendy, Mohamed, additional, El-Guindi, Mohamed A., additional, Elhussieny, Nagi, additional, Eliwa, Ahmed Maher, additional, Elkabbany, Zeineb, additional, El-Khayat, Hesham, additional, El-Koofy, Nehal M., additional, Elmetwalli, Alaa, additional, Elrabat, Amr, additional, El-Raey, Fathiya, additional, Elrashdy, Fatma, additional, Elsahhar, Medhat, additional, Elsaid, Esraa M., additional, Elsayed, Shimaa, additional, Elsayed, Hany, additional, Elsayed, Aly, additional, Elsayed, Amr M., additional, Elsayed, Hamdy, additional, El-Serafy, Magdy, additional, Elsharkawy, Ahmed M., additional, Elsheemy, Reem Yehia, additional, Elshemy, Eman Elsayed, additional, Elsherbini, Sara, additional, Eltoukhy, Naglaa, additional, Elwakil, Reda, additional, Emad, Ola, additional, Emad, Shaimaa, additional, Embabi, Mohamed, additional, Ergenç, Ilkay, additional, Ermolova, Tatiana, additional, Esmat, Gamal, additional, Esmat, Doaa M., additional, Estupiñan, Enrique Carrera, additional, Ettair, Said, additional, Eugen, Tcaciuc, additional, Ezz-Eldin, Mohammed, additional, Falcón, Lidia Patricia Valdivieso, additional, Fan, Yu-Chen, additional, Fandari, Samah, additional, Farag, Mahmoud, additional, Farahat, Taghreed Mohamed, additional, Fares, Eman M., additional, Fares, Michael, additional, Fassio, Eduardo, additional, Fathy, Hayam, additional, Fathy, Dina, additional, Fathy, Wael, additional, Fayed, Soheir, additional, Feng, Dan, additional, Feng, Gong, additional, Fernández-Bermejo, Miguel, additional, Ferreira, Cristina Targa, additional, Ferrer, Javier Díaz, additional, Forbes, Alastair, additional, Fouad, Rabab, additional, Fouad, Hanan M., additional, Frisch, Tove, additional, Fujii, Hideki, additional, Fukunaga, Shuhei, additional, Fukunishi, Shinya, additional, Fulya, Hacer, additional, Furuhashi, Masato, additional, Gaber, Yasmine, additional, Galang, Augusto Jose G., additional, Gallardo, Jacqueline Cordova, additional, Galloso, Rocío, additional, Gamal, Mahmoud, additional, Gamal, Reham, additional, Gamal, Hadeel, additional, Gan, Jian, additional, Ganbold, Anar, additional, Gao, Xin, additional, Garas, George, additional, Garba, Tony, additional, García-Cortes, Miren, additional, García-Monzón, Carmelo, additional, García-Samaniego, Javier, additional, Gastaldelli, Amalia, additional, Gatica, Manuel, additional, Gatley, Elizabeth, additional, Gegeshidze, Tamar, additional, Geng, Bin, additional, Ghazinyan, Hasmik, additional, Ghoneem, Salma, additional, Giacomelli, Luca, additional, Giannelli, Gianluigi, additional, Giannini, Edoardo G., additional, Giefer, Matthew, additional, Ginès, Pere, additional, Girala, Marcos, additional, Giraudi, Pablo J, additional, Goh, George Boon-Bee, additional, Gomaa, Ahmed Ali, additional, Gong, Benbingdi, additional, Gonzales, Dina Hilda C., additional, Gonzalez, Humberto C., additional, Gonzalez-Huezo, Maria Saraí, additional, Graupera, Isabel, additional, Grgurevic, Ivica, additional, Grønbæk, Henning, additional, Gu, Xuelian, additional, Guan, Lin, additional, Gueye, Ibrahima, additional, Guingané, Alice Nanelin, additional, Gul, Ozen Oz, additional, Gul, Cuma Bulent, additional, Guo, Qing, additional, Gupta, Pramendra Prasad, additional, Gurakar, Ahmet, additional, Gutierrez, Juan Carlos Restrepo, additional, Habib, Ghada, additional, Hafez, Azaa, additional, Hagman, Emilia, additional, Halawa, Eman, additional, Hamdy, Osama, additional, Hamed, Abd Elkhalek, additional, Hamed, Dina H., additional, Hamid, Saeed, additional, Hamoudi, Waseem, additional, Han, Yu, additional, Haridy, James, additional, Haridy, Hanan, additional, Harris, David C H Harris, additional, Hart, Michael, additional, Hasan, Fuad, additional, Hashim, Almoutaz, additional, Hassan, Israa, additional, Hassan, Ayman, additional, Hassan, Essam Ali, additional, Hassan, Adel Ahmed, additional, Hassan, Magda Shehata, additional, Hassanin, Fetouh, additional, Hassnine, Alshymaa, additional, Haukeland, John Willy, additional, Hawal, Amr Ismael M., additional, He, Jinfan, additional, He, Qiong, additional, He, Yong, additional, He, Fang-Ping, additional, Hegazy, Mona, additional, Hegazy, Adham, additional, Henegil, Osama, additional, Hernández, Nelia, additional, Hernández-Guerra, Manuel, additional, Higuera-de-la-Tijera, Fatima, additional, Hindy, Ibrahim, additional, Hirota, Keisuke, additional, Ho, Lee Chi, additional, Hodge, Alexander, additional, Hosny, Mohamed, additional, Hou, Xin, additional, Huang, Jiao-Feng, additional, Huang, Yan, additional, Huang, Zhifeng, additional, Huang, Yuan, additional, Huang, Ang, additional, Huang, Xiao-Ping, additional, Hui-ping, Sheng, additional, Hunyady, Bela, additional, Hussein, Mennatallah A., additional, Hussein, Osama, additional, Hussien, Shahinaz Mahmoud, additional, Ibáñez-Samaniego, Luis, additional, Ibdah, Jamal, additional, Ibrahim, Luqman, additional, Ibrahim, Miada, additional, Ibrahim, Ibrahim, additional, Icaza-Chávez, Maria E., additional, Idelbi, Sahar, additional, Idilman, Ramazan Idilman, additional, Ikeda, Mayumi, additional, Indolfi, Giuseppe, additional, Invernizzi, Federica, additional, Irshad, Iram, additional, Isa, Hasan Mohamed Ali, additional, Iskandar, Natacha Jreige, additional, Ismaiel, Abdulrahman, additional, Ismail, Mariam, additional, Ismail, Zulkifli, additional, Ismail, Faisal, additional, Iwamoto, Hideki, additional, Jack, Kathryn, additional, Jacob, Rachael, additional, Jafarov, Fuad, additional, Jafri, Wasim, additional, Jahshan, Helen, additional, Jalal, Prasun K, additional, Jancoriene, Ligita, additional, Janicko, Martin, additional, Jayasena, Hiruni, additional, Jefferies, Meryem, additional, Jha, Vivekanand, additional, Ji, Fanpu, additional, Ji, Yaqiu, additional, Jia, Jidong, additional, Jiang, Changtao, additional, Jiang, Ni, additional, Jiang, Zong-zhe, additional, Jin, Xing, additional, Jin, Yi, additional, Jing, Xu, additional, Jingyu, Qian, additional, Jinjolava, Maia, additional, Jong, FX Himawan Haryanto, additional, Jucov, Alina, additional, Julius, Ibecheole, additional, Kaddah, Mona, additional, Kamada, Yoshihiro, additional, kamal, Abobakr, additional, Kamal, Enas Mohamed, additional, Kamel, Ashraf Sayed, additional, Kao, Jia-Horng, additional, Karin, Maja, additional, Karlas, Thomas, additional, Kashwaa, Mohammad, additional, Katsidzira, Leolin, additional, Kaya, Eda, additional, Kayasseh, M.Azzam, additional, Keenan, Bernadette, additional, Keklikkiran, Caglayan, additional, Keml, William, additional, Khalaf, Deia K., additional, Khalefa, Rofida, additional, Khamis, Sherin, additional, Khater, Doaa, additional, khattab, Hamed, additional, Khavkin, Anatoly, additional, Khlynova, Olga, additional, Khmis, Nabil, additional, Kobyliak, Nazarii, additional, Koffas, Apostolos, additional, Koike, Kazuhiko, additional, Kok, Kenneth Y.Y., additional, Koller, Tomas, additional, Komas, Narcisse Patrice, additional, Korochanskaya, Nataliya V., additional, Koulla, Yannoula, additional, Koya, Shunji, additional, Kraft, Colleen, additional, Kraja, Bledar, additional, Krawczyk, Marcin, additional, Kuchay, Mohammad Shafi, additional, Kulkarni, Anand V, additional, Kumar, Ashish, additional, Kumar, Manoj, additional, Lakoh, Sulaiman, additional, Lam, Philip, additional, Lan, Ling, additional, Lange, Naomi F., additional, Lankarani, Kamran Bagheri, additional, Lanthier, Nicolas, additional, Lapshyna, Kateryna, additional, Lashen, Sameh A., additional, Laure, Konang Nguieguia Justine, additional, Lazebnik, Leonid, additional, Lebrec, Didier, additional, Lee, Samuel S., additional, Lee, Way Seah, additional, Lee, Yeong Yeh, additional, Leeming, Diana Julie, additional, Leite, Nathalie Carvalho, additional, Leon, Roberto, additional, Lesmana, Cosmas Rinaldi Adithya, additional, Li, Junfeng, additional, Li, Qiong, additional, Li, Jun, additional, Li, Yang-Yang, additional, Li, Yufang, additional, Li, Lei, additional, Li, Min, additional, li, Yiling, additional, Liang, Huiqing, additional, Lijuan, Tang, additional, Lim, Seng Gee, additional, Lim, Lee-Ling, additional, Lin, Shumei, additional, Lin, Han-Chieh, additional, Lin, Rita, additional, Lithy, Rania, additional, Liu, Yaru, additional, Liu, Yuanyuan, additional, Liu, Xin, additional, Liu, Wen-Yue, additional, Liu, Shourong, additional, Liu, Ken, additional, Liu, Tian, additional, Lonardo, Amedeo, additional, López, Mariana Bravo, additional, López-Benages, Eva, additional, Lopez-Jaramillo, Patricio, additional, Lu, Huimin, additional, Lu, Lun Gen, additional, Lu, Yan, additional, Lubel, John, additional, Lui, Rashid, additional, Lupasco, Iulianna, additional, Luzina, Elena, additional, Lv, Xiao-Hui, additional, Lynch, Kate, additional, Ma, Hong-Lei, additional, Machado, Mariana Verdelho, additional, Maduka, Nonso, additional, Madzharova, Katerina, additional, Magdaong, Russellini, additional, Mahadeva, Sanjiv, additional, Mahfouz, Amel, additional, Mahmood, Nik Ritza Kosai Nik, additional, Mahmoud, Eman, additional, Mahrous, Mohamed, additional, Maiwall, Rakhi, additional, Majeed, Ammar, additional, Majumdar, Avik, additional, Mak, Loey, additional, Maklouf, Madiha M, additional, Malekzadeh, Reza, additional, Mandato, Claudia, additional, Mangia, Alessandra, additional, Mann, Jake, additional, Mansour, Hala Hussien, additional, Mansouri, Abdellah, additional, Mantovani, Alessandro, additional, Mao, Jun qian, additional, Maramag, Flor, additional, Marchesini, Giulio, additional, Marcus, Claude, additional, Marinho, Rui António Rocha Tato, additional, Martinez-Chantar, Maria L, additional, Martins, Antonieta A. Soares, additional, Marwan, Rana, additional, Mason, Karen Frances, additional, Masoud, Ghadeer, additional, Massoud, Mohamed Naguib, additional, Matamoros, Maria Amalia, additional, Mateos, Rosa Martín, additional, Mawed, Asmaa, additional, Mbanya, Jean Claude, additional, Mbendi, Charles, additional, McColaugh, Lone, additional, McLeod, Duncan, additional, Medina, Juan Francisco Rivera, additional, Megahed, Ahmed, additional, Mehrez, Mai, additional, Memon, Iqbal, additional, Merat, Shahin, additional, Mercado, Randy, additional, Mesbah, Ahmed, additional, Meskini, Taoufik, additional, Metwally, Mayada, additional, Metwaly, Rasha, additional, Miao, Lei, additional, Micah, Eileen, additional, Miele, Luca, additional, Milivojevic, Vladimir, additional, Milovanovic, Tamara, additional, Mina, Yvonne L., additional, Mishkovik, Milan, additional, Mishriki, Amal, additional, Mitchell, Tim, additional, Mohamed, Alshaimaa, additional, Mohamed, Mona, additional, Mohamed, Sofain, additional, Mohammed, Shady, additional, Mohammed, Ahmed, additional, Mohan, Viswanathan, additional, Mohie, Sara, additional, Mokhtar, Aalaa, additional, Moniem, Reham, additional, Montilla, Mabel Segura, additional, Morales, Jose Antonio Orozco, additional, Morata, María María Sánchez, additional, Moreno-Planas, Jose Maria, additional, Morise, Silvia, additional, Mosaad, Sherif, additional, Moselhy, Mohamed, additional, Mostafa, Alaa Mohamed, additional, Mostafa, Ebraheem, additional, Mouane, Nezha, additional, Mousa, Nasser, additional, Moustafa, Hamdy Mahfouz, additional, Msherif, Abeer, additional, Muller, Kate, additional, Munoz, Christopher, additional, Muñoz-Urribarri, Ana Beatriz, additional, Murillo, Omar Alfaro, additional, Mustapha, Feisul Idzwan, additional, Muzurović, Emir, additional, Nabil, Yehia, additional, Nafady, Shaymaa, additional, Nagamatsu, Ayu, additional, Nakajima, Atsushi, additional, Nakano, Dan, additional, Nan, Yuemin, additional, Nascimbeni, Fabio, additional, Naseef, Mirella S., additional, Nashat, Nagwa, additional, Natalia, Taran, additional, Negro, Francesco, additional, Nersesov, Alexander V., additional, Neuman, Manuela, additional, Ng'wanasayi, Masolwa, additional, Ni, Yan, additional, Nicoll, Amanda, additional, Niizeki, Takashi, additional, Nikolova, Dafina, additional, Ningning, Wang, additional, Niriella, Madunil, additional, Nogoibaeva, K.A, additional, Nordien, Rozeena, additional, O Sullivan, Catherine, additional, O'Beirne, James, additional, Obekpa, Solomon, additional, Ocama, Ponsiano, additional, Ochwoto, Missiani, additional, Ogolodom, Michael Promise, additional, Ojo, Olusegun, additional, Okrostsvaridze, Nana, additional, Oliveira, Claudia P., additional, Omaña, Raul Contreras, additional, Omar, Omneya M., additional, Omar, Hanaa, additional, Omar, Mabroka, additional, Omran, Salma, additional, Omran, Reham, additional, Osman, Marian Muse, additional, Owise, Nevin, additional, Owusu-Ansah, Theobald, additional, Padilla- Machaca, P. Martín, additional, Palle, Sirish, additional, Pan, Ziyan, additional, Pan, Xiao-Yan, additional, Pan, Qiuwei, additional, Papaefthymiou, Apostolis, additional, Paquissi, Feliciano Chanana, additional, Par, Gabriella, additional, Parkash, Arit, additional, Payawal, Diana, additional, Peltekian, Kevork M., additional, Peng, Xuebin, additional, Peng, Liang, additional, Peng, Ying, additional, Pengoria, Rahul, additional, Perez, Martina, additional, Pérez, José Luis, additional, Pérez, Norma Marlene, additional, Persico, Marcello, additional, Pessoa, Mário Guimarães, additional, Petta, Salvatore, additional, Philip, Mathew, additional, Plaz Torres, Maria Corina, additional, Polavarapu, Naveen, additional, Poniachik, Jaime, additional, Portincasa, Piero, additional, Pu, Chunwen, additional, Pürnak, Tuğrul, additional, Purwanto, Edhie, additional, Qi, Xiaolong, additional, Qi, Xingshun, additional, Qian, Zibing, additional, Qiang, Zhao, additional, Qiao, Zengpei, additional, Qiao, Liang, additional, Queiroz, Alberto, additional, Rabiee, Atoosa, additional, Radwan, Manal, additional, Rahetilahy, Alain Marcel, additional, Ramadan, Yasmin, additional, Ramadan, Dina, additional, Ramli, Anis Safura, additional, Ramm, Grant A., additional, Ran, Ao, additional, Rankovic, Ivan, additional, RAO, Huiying, additional, Raouf, Sara, additional, Ray, Sayantan, additional, Reau, Nancy, additional, Refaat, Ahmed, additional, Reiberger, Thomas, additional, Remes-Troche, Jose M, additional, Reyes, Eira Cerda, additional, Richardson, Ben, additional, Ridruejo, Ezequiel, additional, Riestra Jimenez, Sergio, additional, Rizk, Ibrahim, additional, Roberts, Stuart, additional, Roblero, Juan Pablo, additional, Robles, Jorge Alberto Prado, additional, Rockey, Don, additional, Rodríguez, Manuel, additional, Rodríguez Hernández, Heriberto, additional, Román, Eva, additional, Romeiro, Fernando Gomes, additional, Romeo, Stefano, additional, Rosales-Zabal, Jose Miguel, additional, Roshdi, Georgina 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2022
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46. Global multi-stakeholder endorsement of the MAFLD definition

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Abate, Maria Lorena, Abbas, Bahaa, Abbassy, Ahmed Amr, Abd El Ghany, Waleed, Abd Elkhalek, Amira, Abd ElMajeed, Emad, Abdalgaber, Mohammad, AbdAllah, Mohamed, Abdallah, Marwa, Abdallah, Nourhan, Abdelaleem, Shereen, Abdelghani, Yasser, Abdelghany, Wael, Abdelhalim, Safaa Mohamed, Abdelhamid, Wafaa, Abdelhamid, Nehal, Abdelkader, Nadia A., Abdelkreem, Elsayed, Abdelmohsen, Aly Mohamed, Abdelrahman, Awny Ali, Abd-elsalam, Sherief M, Abdeltawab, Doaa, Abduh, Abdulbaset, Abdulhakam, Nada, Abdulla, Maheeba, Abedpoor, Navid, Abenavoli, Ludovico, Åberg, Fredrik, Ablack, Omala, Abo elftouh, Mostafa, Abo-Amer, Yousry Esam-Eldin, Aboubkr, Ashraf, Aboud, Alaa, Abouelnaga, Amr M., Aboufarrag, Galal A., Aboutaleb, Ashraf, Abundis, Leticia, Adalı, Gupse, Adames, Enrique, Adams, Leon, Adda, Danjuma, Adel, Noor, Adel, Nada, Adel Sayed, Muhammad, Afaa, Taiba Jibril, Afredj, Nawal, Aghayeva, Gulnara, Aghemo, Alessio, Aguilar-Salinas, Carlos A., Ahlenstiel, Golo, Ahmady, Walid, Ahmed, Wafaa, Ahmed, Amira, Ahmed, Samah Nasser, Ahmed, Heba Mostafa, Ahmed, Rasha, Aigner, Elmar, Akarsu, Mesut, Akroush, Maisam, Akyuz, Umit, Al Mahtab, Mamun, Al Qadiri, Tahani, Al Rawahi, Yusriya, AL rubaee, Razzaq, Al Saffar, Muna, Alam, Shahinul, Al-Ani, Zaid, Albillos, Agustín, Alboraie, Mohamed, Al-Busafi, Said, Al-Emam, Mohamed, Alharthi, Jawaher, Ali, Kareem, Ali, Basma Abdelmoez, Ali, Mohammad, Ali, Raja Affendi Raja, Alisi, Anna, AL-Khafaji, Ali Raad, Alkhatry, Maryam, Aller, Rocio, Almansoury, Yahya, Al-Naamani, Khalid, Alnakeeb, Alaa, Alonso, Anna, Alqahtani, Saleh A., Alrabadi, Leina, Alswat, Khalid, Altaher, Mahir, Altamimi, Turki, Altamirano, Jose, Alvares-da-Silva, Mario R., Aly, Elsragy Adel M., Alzahaby, Amgad, Alzamzamy, Ahmed, Amano, Keisuke, Amer, Maysa A., Amin, Mona A., Amin, Sayed A., Amir, Ashraf A., Ampuero, Javier, Anas, Noha, Andreone, Pietro, Andriamandimby, Soa Fy, Anees, Mahmoud, Angela, Peltec, Antonios, Manal, Arafat, Wael, Araya, Jose Moreno, Armendariz-Borunda, Juan, Armstrong, Matthew J., Ashktorab, Hassan, Aspichueta, Patricia, Assal, Fathia, Atef, Mira, Attia, Dina, Atwa, Hoda, Awad, Reham, Awad, Mohyeldeen Abd Elaziz, Awny, Sally, Awolowo, Obafemi, Awuku, Yaw Asante, Ayada, Ibrahim, Aye, Than Than, Ayman, Sherif, Ayman, Hedy, Ayoub, Hesham, Azmy, Hosny M., Babaran, Romiro P., Badreldin, Omneya, Badry, Ahmed, Bahçecioğlu, İbrahim Halil, Bahour, Amira, Bai, Jiajia, Balaban, Yasemin, Balasubramanyam, Muthuswamy, Bamakhrama, Khaled, Banales, Jesus M, Bangaru, Babu, Bao, Jianfeng, Barahona, Jorge Suazo, Barakat, Salma, Barbalho, Sandra Maria, Barbra, Bikwa, Barranco, Beatriz, Barrera, Francisco, Baumann, Ulrich, Bazeed, Shamardan, Bech, Eva, Benayad, Aourarh, Benesic, Andreas, Bernstein, David, Bessone, Fernando, Birney, Susie, Bisseye, Cyrille, Blake, Martin, Bobat, Bilal, Bonfrate, Leonilde, Bordin, Dmitry S, Bosques-Padilla, Francisco, Boursier, Jerome, Boushab, Boushab Mohamed, Bowen, David, Bravo, Patricia Medina, Brennan, Paul N, Bright, Bisi, Broekaert, Ilse, Buque, Xabier, Burgos-Santamaría, Diego, Burman, Julio, Busetto, Luca, Byrne, Chris D., Cabral-Prodigalidad, Patricia Anne I., Cabrera-Alvarez, Guillermo, Cai, Wei, Cainelli, Francesca, Caliskan, Ali Riza, Canbay, Ali, Cano-Contreras, Ana, Cao, Hai-Xia, Cao, Zhujun, Carrion, Andres, Carubbi, Francesca, Casanovas, Teresa, Castellanos Fernández, Marlen Ivón, Chai, Jin, Chan, Siew Pheng, Charatcharoenwitthaya, Phunchai, Chavez-Tapia, Norberto, Chayama, Kazuaki, Chen, Jinjun, Chen, Lin, Chen, Zhong-Wei, Chen, Huiting, Chen, Sui-Dan, Chen, Qiang, Chen, Yaxi, Chen, Gang, Chen, En-Quang, Chen, Fei, Chen, Pei-Jer, Cheng, Robert, Cheng, Wendy, Chieh, Jack Tan Wei, Chokr, Imad, Cholongitas, Evangelos, Choudhury, Ashok, Chowdhury, Abhijit, Chukwudike, Evaristus Sunday, Ciardullo, Stefano, Clayton, Michelle, Clement, Karine, Cloa, Marie Michelle, Coccia, Cecilia, Collazos, Cristina, Colombo, Massimo, Cosar, Arif Mansur, Cotrim, Helma Pinchemel, Couillerot, Joris, Coulibaly, Alioune, Crespo, Gonzalo, Crespo, Javier, Cruells, Maria, Cua, Ian Homer Y., Dabbous, Hesham K., Dalekos, George N, D'Alia, Patricia, Dan, Li, Dao, Viet Hang, Darwish, Mostafa, Datz, Christian, Davalos-Moscol, Milagros B, Dawoud, Heba, de Careaga, Blanca Olaechea, de Knegt, Robert, de Ledinghen, Victor, de Silva, Janaka, Debzi, Nabil, Decraecker, Marie, Del Pozo, Elvira, Delgado, Teresa C, Delgado-Blanco, Manuel, Dembiński, Łukasz, Depina, Adilson, Derbala, Moutaz, Desalegn, Hailemichael, Desbois-Mouthon, Christèle, Desoky, Mahmoud, Dev, Anouk, Di Ciaula, Agostino, Diago, Moisés, Diallo, Ibrahima, Díaz, Luis Antonio, Dirchwolf, Melisa, Dongiovanni, Paola, Dorofeyev, Andrriy, Dou, Xiaoguang, Douglas, Mark W., Doulberis, Michael, Dovia, Cecil K., Doyle, Adam, Dragojević, Ivana, Drenth, Joost PH, Duan, Xuefei, Dulskas, Audrius, Dumitrascu, Dan L, Duncan, Oliver, Dusabejambo, Vincent, Dwawhi, Rev. 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Soares, Marwan, Rana, Mason, Karen Frances, Masoud, Ghadeer, Massoud, Mohamed Naguib, Matamoros, Maria Amalia, Mateos, Rosa Martín, Mawed, Asmaa, Mbanya, Jean Claude, Mbendi, Charles, McColaugh, Lone, McLeod, Duncan, Medina, Juan Francisco Rivera, Megahed, Ahmed, Mehrez, Mai, Memon, Iqbal, Merat, Shahin, Mercado, Randy, Mesbah, Ahmed, Meskini, Taoufik, Metwally, Mayada, Metwaly, Rasha, Miao, Lei, Micah, Eileen, Miele, Luca, Milivojevic, Vladimir, Milovanovic, Tamara, Mina, Yvonne L., Mishkovik, Milan, Mishriki, Amal, Mitchell, Tim, Mohamed, Alshaimaa, Mohamed, Mona, Mohamed, Sofain, Mohammed, Shady, Mohammed, Ahmed, Mohan, Viswanathan, Mohie, Sara, Mokhtar, Aalaa, Moniem, Reham, Montilla, Mabel Segura, Morales, Jose Antonio Orozco, Morata, María María Sánchez, Moreno-Planas, Jose Maria, Morise, Silvia, Mosaad, Sherif, Moselhy, Mohamed, Mostafa, Alaa Mohamed, Mostafa, Ebraheem, Mouane, Nezha, Mousa, Nasser, Moustafa, Hamdy Mahfouz, Msherif, Abeer, Muller, Kate, Munoz, Christopher, Muñoz-Urribarri, Ana Beatriz, Murillo, Omar Alfaro, Mustapha, Feisul Idzwan, Muzurović, Emir, Nabil, Yehia, Nafady, Shaymaa, Nagamatsu, Ayu, Nakajima, Atsushi, Nakano, Dan, Nan, Yuemin, Nascimbeni, Fabio, Naseef, Mirella S., Nashat, Nagwa, Natalia, Taran, Negro, Francesco, Nersesov, Alexander V., Neuman, Manuela, Ng'wanasayi, Masolwa, Ni, Yan, Nicoll, Amanda, Niizeki, Takashi, Nikolova, Dafina, Ningning, Wang, Niriella, Madunil, Nogoibaeva, K.A, Nordien, Rozeena, O Sullivan, Catherine, O'Beirne, James, Obekpa, Solomon, Ocama, Ponsiano, Ochwoto, Missiani, Ogolodom, Michael Promise, Ojo, Olusegun, Okrostsvaridze, Nana, Oliveira, Claudia P., Omaña, Raul Contreras, Omar, Omneya M., Omar, Hanaa, Omar, Mabroka, Omran, Salma, Omran, Reham, Osman, Marian Muse, Owise, Nevin, Owusu-Ansah, Theobald, Padilla- Machaca, P. Martín, Palle, Sirish, Pan, Ziyan, Pan, Xiao-Yan, Pan, Qiuwei, Papaefthymiou, Apostolis, Paquissi, Feliciano Chanana, Par, Gabriella, Parkash, Arit, Payawal, Diana, Peltekian, Kevork M., Peng, Xuebin, Peng, Liang, Peng, Ying, Pengoria, Rahul, Perez, Martina, Pérez, José Luis, Pérez, Norma Marlene, Persico, Marcello, Pessoa, Mário Guimarães, Petta, Salvatore, Philip, Mathew, Plaz Torres, Maria Corina, Polavarapu, Naveen, Poniachik, Jaime, Portincasa, Piero, Pu, Chunwen, Pürnak, Tuğrul, Purwanto, Edhie, Qi, Xiaolong, Qi, Xingshun, Qian, Zibing, Qiang, Zhao, Qiao, Zengpei, Qiao, Liang, Queiroz, Alberto, Rabiee, Atoosa, Radwan, Manal, Rahetilahy, Alain Marcel, Ramadan, Yasmin, Ramadan, Dina, Ramli, Anis Safura, Ramm, Grant A., Ran, Ao, Rankovic, Ivan, RAO, Huiying, Raouf, Sara, Ray, Sayantan, Reau, Nancy, Refaat, Ahmed, Reiberger, Thomas, Remes-Troche, Jose M, Reyes, Eira Cerda, Richardson, Ben, Ridruejo, Ezequiel, Riestra Jimenez, Sergio, Rizk, Ibrahim, Roberts, Stuart, Roblero, Juan Pablo, Robles, Jorge Alberto Prado, Rockey, Don, Rodríguez, Manuel, Rodríguez Hernández, Heriberto, Román, Eva, Romeiro, Fernando Gomes, Romeo, Stefano, Rosales-Zabal, Jose Miguel, Roshdi, Georgina R., Rosso, Natalia, Ruf, Andres, Ruiz, Patricia Cordero, Runes, Nelia R., Ruzzenente, Andrea, Ryan, Marno, Saad, Ahmed, Sabbagh, Eman BE, Sabbah, Meriam, Saber, Shimaa, Sabrey, Reham, Sabry, Ramy, Saeed, Maysaa Abdallah, Said, Dina, Said, Ebada M, Sakr, Mohammad Amin, Salah, Yara, Salama, Rabab Maamoun, Salama, Asmaa, Saleh, Hussein, Saleh, Ahmed, Salem, Ahmed, Salem, Ahmed Thabet, Salifou, Alkassoum, Salih, Aso Faeq, Salman, Abdallah, Samouda, Hanen, Sanai, Faisal, Sánchez-Ávila, Juan Francisco, Sanker, Lakshumanan, Sano, Tomoya, Sanz, Miquel, Saparbu, Tobokalova, Sawhney, Rohit, Sayed, Fatma, Sayed, Sayed A., Sayed, Ashraf Othman, Sayed, Manar, Sebastiani, Giada, Secadas, Laura, Sediqi, Khawaja Qamaruddin, Seif, Sameh, Semida, Nady, Şenateş, Ebubekir, Serban, Elena Daniela, Serfaty, Lawrence, Seto, Wai-Kay, Sghaier, Ikram, Sha, Min, Shabaan, Hamada M., Shalaby, Lobna, Shaltout, Inass, Sharara, Ala I., Sharma, Vishal, Shawa, Isaac Thom, Shawkat, Ahmed, Shawky, Nehal, Shehata, Osama, Sheils, Sinead, Shewaye, Abate Bane, Shi, Guojun, Shi, Junping, Shimose, Shigeo, Shirono, Tomotake, Shou, Lan, Shrestha, Ananta, Shui, Guanghou, Sievert, William, Sigurdardottir, Solveig, Sira, Mostafa Mohamed, Siradj, Riyadh, Sison, Cecilia, Smyth, Linda, Soliman, Reham, Sollano, Jose D, Sombie, Roger, Sonderup, Mark, Sood, Siddharth, Soriano, German, Stedman, Catherine A M, Stefanyuk, Oksana, Štimac, Davor, Strasser, Simone, Strnad, Pavel, Stuart, Katherine, Su, Wen, Su, Minghua, Sumida, Yoshio, Sumie, Shuji, Sun, Dan-Qin, Sun, Jing, Suzuki, Hiroyuki, Svegliati-Baroni, Gianluca, Swar, Mohamed Osman, TAHARBOUCHT, S., Taher, Zenab, Takamura, Saori, Tan, Lin, Tan, Soek-Siam, Tanwandee, Tawesak, Tarek, Sara, Tatiana, Ghelimici, Tavaglione, Federica, Tecson, Gina Y., Tee, Hoi-Poh, Teschke, Rolf, Tharwat, Mostafa, Thong, Vo Duy, Thursz, Mark, Tine, Tulari, Tiribelli, Claudio, Tolmane, Ieva, Tong, Jing, Tongo, Marco, Torkie, Mamdouh, Torre, Aldo, Torres, Esther A, Trajkovska, Meri, Treeprasertsuk, Sombat, Tsutsumi, Tsubasa, Tu, Thomas, Tur, Josep A., Turan, Dilara, Turcan, Svetlana, Turkina, Svetlana, Tutar, Engin, Tzeuton, Christian, Ugiagbe, Rose, Uygun, Ahmet, Vacca, Michele, Vajro, Pietro, Van der Poorten, David, Van Kleef, Laurens A., Vashakidze, Eliza, Velazquez, Carlos Moctezuma, Velazquez, Mirtha Infante, Vento, Sandro, Verhoeven, Veronique, Vespasiani-Gentilucci, Umberto, Vethakkan, Shireene Ratna, Vilaseca, Josep, Vítek, Libor, Volkanovska, Ance, Wallace, Michael, Wan, Wang, Wang, Yan, Wang, Ying, Wang, Xiaolin, Wang, Xuemei, Wang, Chengyan, Wang, Chunjiong, Wang, Mingjie, Wangchuk, Pelden, Weltman, Martin, White, MaryFrances, Wiegand, Johannes, Wifi, Mohamed-Naguib, Wigg, Alan, Wilhelmi, Markus, William, Remon, Wittenburg, Henning, Wu, Shengjie, Wubeneh, Abdu Mohammed, Xia, Hongping, Xiao, Jian, Xiao, Xiao, Xiaofeng, Wang, Xiong, Wanyuan, Xu, Liang, Xu, Jie, Xu, Weiguo, Xu, Jing-Hang, Xu, Keshu, Xu, Yumin, Xu, Shi-Hao, Xu, Meng, Xu, Aimin, Xu, Chengfu, Yan, Hongmei, Yang, Jingyi, Yang, Rui-Xu, Yang, Yating, Yang, Qinhe, Yang, Naibin, Yao, Jia, Yara, Justine, Yaraş, Serkan, Yılmaz, Nimet, Younes, Ramy, younes, Huda, Young, Sona, Youssef, Farah, Yu, Yanyan, Yu, Ming-Lung, Yuan, Jing, Yue, Zhang, Yuen, Man-Fung, Yun, Wang, Yurukova, Nonka, Zakaria, Serag, Zaky, Samy, Zaldastanishvili, Maia, Zapata, Rodrigo, Zare, Nazanin, Zerem, Enver, Zeriban, Nema, Zeshuai, Xu, Zhang, Huijie, Zhang, Xuemei, Zhang, Yupei, Zhang, Wen-Hua, Zhang, Xuchen, Zhang, Yon-ping, Zhang, Yuexin, Zhang, Zhan-qing, Zhao, Jingmin, Zhao, Rong-Rong, Zhao, Hongwei, Zheng, Chao, Zheng, Yijie, Zheng, Ruidan, Zheng, Tian-Lei, Zheng, Kenneth, Zhou, Xi Qiao, Zhou, Yongjian, Zhou, Yu-Jie, Zhou, Hong, Zhou, Ling, Zhou, Yongning, Zhu, Long dong, Zhu, Yong Fen, Zhu, Yueyong, Zhu, Pei-Wu, Ziada, Ebtesam, Ziring, David, Ziyi, Li, Zou, Shanshan, Zou, Zhengsheng, Zou, Huaibin, Zuart Ruiz, Roberto, Méndez-Sánchez, Nahum, Bugianesi, Elisabetta, Gish, Robert G, Lammert, Frank, Tilg, Herbert, Nguyen, Mindie H, Sarin, Shiv K, Fabrellas, Núria, Zelber-Sagi, Shira, Fan, Jian-Gao, Shiha, Gamal, Targher, Giovanni, Zheng, Ming-Hua, Chan, Wah-Kheong, Vinker, Shlomo, Kawaguchi, Takumi, Castera, Laurent, Yilmaz, Yusuf, Korenjak, Marko, Spearman, C Wendy, Ungan, Mehmet, Palmer, Melissa, El-Shabrawi, Mortada, Gruss, Hans-Juergen, Dufour, Jean-François, Dhawan, Anil, Wedemeyer, Heiner, George, Jacob, Valenti, Luca, Fouad, Yasser, Romero‐Gomez, Manuel, and Eslam, Mohammed

Published
2022
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47. Biomarkers of Clot Activation and Degradation and Risk of Future Major Cardiovascular Events in Acute Exacerbation of COPD:A Cohort Sub-Study in a Randomized Trial Population

Author

Kamstrup, Peter, Sand, Jannie Marie Bulow, Ulrik, Charlotte Suppli, Janner, Julie, Ronn, Christian Philip, Ronnow, Sarah Rank, Leeming, Diana Julie, Jensen, Sidse Graff, Wilcke, Torgny, Mathioudakis, Alexander G., Miravitlles, Marc, Lapperre, Therese, Bendstrup, Elisabeth, Frikke-Schmidt, Ruth, Murray, Daniel D., Itenov, Theis, Bossios, Apostolos, Nielsen, Susanne Dam, Vestbo, Jorgen, Biering-Sorensen, Tor, Karsdal, Morten, Jensen, Jens-Ulrik, Sivapalan, Pradeesh, Kamstrup, Peter, Sand, Jannie Marie Bulow, Ulrik, Charlotte Suppli, Janner, Julie, Ronn, Christian Philip, Ronnow, Sarah Rank, Leeming, Diana Julie, Jensen, Sidse Graff, Wilcke, Torgny, Mathioudakis, Alexander G., Miravitlles, Marc, Lapperre, Therese, Bendstrup, Elisabeth, Frikke-Schmidt, Ruth, Murray, Daniel D., Itenov, Theis, Bossios, Apostolos, Nielsen, Susanne Dam, Vestbo, Jorgen, Biering-Sorensen, Tor, Karsdal, Morten, Jensen, Jens-Ulrik, and Sivapalan, Pradeesh

Abstract

Cardiovascular diseases are common in patients with chronic obstructive pulmonary disease (COPD). Clot formation and resolution secondary to systemic inflammation may be a part of the explanation. The aim was to determine whether biomarkers of clot formation (products of von Willebrand Factor formation and activation) and clot resolution (product of fibrin degeneration) during COPD exacerbation predicted major cardiovascular events (MACE). The cohort was based on clinical data and biobank plasma samples from a trial including patients admitted with an acute exacerbation of COPD (CORTICO-COP). Neo-epitope biomarkers of formation and the activation of von Willebrand factor (VWF-N and V-WFA, respectively) and cross-linked fibrin degradation (X-FIB) were assessed using ELISAs in EDTA plasma at the time of acute admission, and analyzed for time-to-first MACE within 36 months, using multivariable Cox proportional hazards models. In total, 299/318 participants had samples available for analysis. The risk of MACE for patients in the upper quartile of each biomarker versus the lower quartile was: X-FIB: HR 0.98 (95% CI 0.65-1.48), VWF-N: HR 1.56 (95% CI 1.07-2.27), and VWF-A: HR 0.78 (95% CI 0.52-1.16). Thus, in COPD patients with an acute exacerbation, VWF-N was associated with future MACE and warrants further studies in a larger population.

Published
2022

48. Heat-Inactivated Akkermansia muciniphila Improves Gut Permeability but Does Not Prevent Development of Non-Alcoholic Steatohepatitis in Diet-Induced Obese Ldlr−/−.Leiden Mice

Author

Morrison, Martine C., Gart, Eveline, van Duyvenvoorde, Wim, Snabel, Jessica, Nielsen, Mette Juul, Leeming, Diana Julie, Menke, Aswin, Kleemann, Robert, Morrison, Martine C., Gart, Eveline, van Duyvenvoorde, Wim, Snabel, Jessica, Nielsen, Mette Juul, Leeming, Diana Julie, Menke, Aswin, and Kleemann, Robert

Abstract

The development of non-alcoholic steatohepatitis (NASH) has been associated with alterations in gut microbiota composition and reduced gut barrier function. Akkermansia muciniphila is a gut microbe that is thought to have health-promoting properties, including the ability to improve gut barrier function and host metabolism, both when administered live and after heat-inactivation. We questioned whether heat-inactivated A. muciniphila may reduce NASH development. Ldlr−/−.Leiden mice, a translational, diet-induced model for NASH, were fed a NASH-inducing high-fat diet (HFD) supplemented with heat-inactivated A. muciniphila. After 28 weeks, effects of the treatment on obesity and associated metabolic dysfunction in the gut (microbiota composition and permeability), adipose tissue, and liver were studied relative to an untreated HFD control. Treatment with heat-inactivated A. muciniphila did not affect body weight or adiposity and had no effect on plasma lipids, blood glucose, or plasma insulin. Heat-inactivated A. muciniphila had some minor effects on mucosal microbiota composition in ileum and colon and improved gut barrier function, as assessed by an in vivo functional gut permeability test. Epidydimal white adipose tissue (WAT) hypertrophy and inflammation were not affected, but heat-inactivated A. muciniphila did reduce hypertrophy in the mesenteric WAT which is in close proximity to the intestine. Heat-inactivated A. muciniphila did not affect the development of NASH or associated fibrosis in the liver and did not affect circulating bile acids or markers of liver fibrosis, but did reduce PRO-C4, a type IV collagen synthesis marker, which may be associated with gut integrity. In conclusion, despite beneficial effects in the gut and mesenteric adipose tissue, heat-inactivated A. muciniphila did not affect the development of NASH and fibrosis in a chronic disease setting that mimics clinically relevant disease stages.

Published
2022

49. Systemic Biomarkers of Collagen and Elastin Turnover Are Associated With Clinically Relevant Outcomes in COPD

Author

Stolz, Daiana, Leeming, Diana Julie, Kristensen, Jacob Hull Edfort, Karsdal, Morten A., Boersma, Wim, Louis, Renaud, Milenkovic, Branislava, Kostikas, Konstantinos, Blasi, Francesco, Aerts, Joachim, Sand, Jannie M.B., Wouters, Emiel F.M., Rohde, Gernot, Prat, Cristina, Torres, Antoni, Welte, Tobias, Roth, Michael, Papakonstantinou, Eleni, and Tamm, Michael

Published
2017
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