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2. Altered infective competence of the human gut microbiome in COVID-19
- Author
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de Nies, Laura, Galata, Valentina, Martin-Gallausiaux, Camille, Despotovic, Milena, Busi, Susheel Bhanu, Snoeck, Chantal J., Delacour, Lea, Budagavi, Deepthi Poornima, Laczny, Cédric Christian, Habier, Janine, Lupu, Paula-Cristina, Halder, Rashi, Fritz, Joëlle V., Marques, Taina, Sandt, Estelle, O’Sullivan, Marc Paul, Ghosh, Soumyabrata, Satagopam, Venkata, Krüger, Rejko, Fagherazzi, Guy, Ollert, Markus, Hefeng, Feng Q., May, Patrick, and Wilmes, Paul
- Published
- 2023
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3. 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
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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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4. Increased serum miR-193a-5p during non-alcoholic fatty liver disease progression: Diagnostic and mechanistic relevance
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Clark, James, Cordell, Heather J., Darlay, Rebecca, Day, Christopher P., Hardy, Tim, Liu, Yang-Lin, Oakley, Fiona, Palmer, Jeremy, Queen, Rachel, Wonders, Kristy, Bossuyt, Patrick M., Holleboom, Adriaan G., Zafarmand, Hadi, Vali, Yasaman, Lee, Jenny, Clement, Karine, Pais, Raluca, Schuppan, Detlef, Allison, Michael, Cuenca, Sergio Rodriguez, Pellegrinelli, Vanessa, Vacca, Michele, Vidal-Puig, Antonio, Hyötyläinen, Tuulia, McGlinchey, Aidan, Orešič, Matej, Sen, Partho, Mato, Jose, Millet, Óscar, Dufour, Jean-Francois, Harrison, Stephen, Neubauer, Stefan, Pavlides, Michael, Mozes, Ferenc, Akhtar, Salma, Banerjee, Rajarshi, Kelly, Matt, Shumbayawonda, Elizabeth, Dennis, Andrea, Erpicum, Charlotte, Romero-Gomez, Manuel, Gallego-Durán, Rocío, Fernández, Isabel, Karsdal, Morten, Leeming, Diana, Fisker, Mette Juul, Erhardtsen, Elisabeth, Rasmussen, Daniel, Qvist, Per, Sinisi, Antonia, Sandt, Estelle, Tonini, Maria Manuela, Parola, Maurizio, Rosso, Chiara, Marra, Fabio, Gastaldelli, Amalia, Francque, Sven, Kechagias, Stergios, Yki-Järvinen, Hannele, Porthan, Kimmo, van Mil, Saskia, Papatheodoridis, George, Cortez-Pinto, Helena, Valenti, Luca, Petta, Salvatore, Miele, Luca, Geier, Andreas, Trautwein, Christian, Hockings, Paul, Newsome, Phil, Wenn, David, Pereira Rodrigues, Cecília Maria, Hanf, Rémy, Chaumat, Pierre, Rosenquist, Christian, Trylesinski, Aldo, Ortiz, Pablo, Duffin, Kevin, Yunis, Carla, Miller, Melissa, Tuthill, Theresa, Ertle, Judith, Younes, Ramy, Alexander, Leigh, Ostroff, Rachel, Kjær, Mette Skalshøi, Mikkelsen, Lars Friis, Brass, Clifford, Jennings, Lori, Balp, Maria-Magdalena, Martic, Miljen, Hanauer, Guido, Shankar, Sudha, Torstenson, Richard, Fournier, Céline, Ehman, Richard, Kalutkiewicz, Michael, Pepin, Kay, Myers, Joel, Shevell, Diane, Ho, Gideon, Landgren, Henrik, Myers, Rob, Doward, Lynda, Whalley, Diane, Twiss, James, Johnson, Katherine, Leary, Peter J., Govaere, Olivier, Barter, Matthew J., Charlton, Sarah H., Cockell, Simon J., Tiniakos, Dina, Zatorska, Michalina, Bedossa, Pierre, Brosnan, M. Julia, Cobbold, Jeremy F., Ekstedt, Mattias, Aithal, Guruprasad P., Clément, Karine, Schattenberg, Jörn M., Boursier, Jerome, Ratziu, Vlad, Bugianesi, Elisabetta, Anstee, Quentin M., and Daly, Ann K.
- Published
- 2022
- Full Text
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5. Altered infective competence of the human gut microbiome in COVID-19
- Author
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Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group) [research center], Luxembourg Centre for Systems Biomedicine (LCSB): Eco-Systems Biology (Wilmes Group) [research center], Luxembourg Centre for Systems Biomedicine (LCSB): Clinical & Experimental Neuroscience (Krüger Group) [research center], Fonds National de la Recherche - FnR [sponsor], Fondation André Losch [sponsor], FEDER [sponsor], SBB [sponsor], ERC [sponsor], de Nies, Laura, Galata, Valentina, Martin-Gallausiaux, Camille, Despotovic, Milena, Busi, Susheel Bhanu, Snoeck, Chantal J., Delacour, Lea, Budagavi, Deepthi Poornima, Laczny, Cedric Christian, Habier, Janine, Lupu, Paula-Cristina, Halder, Rashi, Fritz, Joëlle V., Marques, Tainá, Sandt, Estelle, O'Sullivan, Marc Paul, Ghosh, Soumyabrata, Satagopam, Venkata, Consortium, CON-Vince, Krüger, Rejko, Fagherazzi, Guy, Ollert, Markus, He, Feng, May, Patrick, Wilmes, Paul, Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group) [research center], Luxembourg Centre for Systems Biomedicine (LCSB): Eco-Systems Biology (Wilmes Group) [research center], Luxembourg Centre for Systems Biomedicine (LCSB): Clinical & Experimental Neuroscience (Krüger Group) [research center], Fonds National de la Recherche - FnR [sponsor], Fondation André Losch [sponsor], FEDER [sponsor], SBB [sponsor], ERC [sponsor], de Nies, Laura, Galata, Valentina, Martin-Gallausiaux, Camille, Despotovic, Milena, Busi, Susheel Bhanu, Snoeck, Chantal J., Delacour, Lea, Budagavi, Deepthi Poornima, Laczny, Cedric Christian, Habier, Janine, Lupu, Paula-Cristina, Halder, Rashi, Fritz, Joëlle V., Marques, Tainá, Sandt, Estelle, O'Sullivan, Marc Paul, Ghosh, Soumyabrata, Satagopam, Venkata, Consortium, CON-Vince, Krüger, Rejko, Fagherazzi, Guy, Ollert, Markus, He, Feng, May, Patrick, and Wilmes, Paul
- Abstract
BACKGROUND: Infections with SARS-CoV-2 have a pronounced impact on the gastrointestinal tract and its resident microbiome. Clear differences between severe cases of infection and healthy individuals have been reported, including the loss of commensal taxa. We aimed to understand if microbiome alterations including functional shifts are unique to severe cases or a common effect of COVID-19. We used high-resolution systematic multi-omic analyses to profile the gut microbiome in asymptomatic-to-moderate COVID-19 individuals compared to a control group. RESULTS: We found a striking increase in the overall abundance and expression of both virulence factors and antimicrobial resistance genes in COVID-19. Importantly, these genes are encoded and expressed by commensal taxa from families such as Acidaminococcaceae and Erysipelatoclostridiaceae, which we found to be enriched in COVID-19-positive individuals. We also found an enrichment in the expression of a betaherpesvirus and rotavirus C genes in COVID-19-positive individuals compared to healthy controls. CONCLUSIONS: Our analyses identified an altered and increased infective competence of the gut microbiome in COVID-19 patients. Video Abstract.
- Published
- 2023
6. Machine learning algorithm improves the detection of NASH (NAS-based) and at-risk NASH: A development and validation study
- Author
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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
7. 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
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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.
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- 2023
- Full Text
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8. Increased serum miR-193a-5p during non-alcoholic fatty liver disease progression: Diagnostic and mechanistic relevance
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Johnson, Katherine, Leary, Peter J., Govaere, Olivier, Barter, Matthew J., Charlton, Sarah H., Cockell, Simon J., Tiniakos, Dina, Zatorska, Michalina, Bedossa, Pierre, Brosnan, M. Julia, Cobbold, Jeremy F., Ekstedt, Mattias, Aithal, Guruprasad P., Boursier, Jerome, Ratziu, Vlad, Bugianesi, Elisabetta, Anstee, Quentin M., Daly, Ann K., Clark, James, Cockell, Simon, Cordell, Heather J., Darlay, Rebecca, Day, Christopher P., Hardy, Tim, Liu, Yang-Lin, Oakley, Fiona, Palmer, Jeremy, Queen, Rachel, Wonders, Kristy, Bossuyt, Patrick M., Holleboom, Adriaan G., Zafarmand, Hadi, Vali, Yasaman, Lee, Jenny, Clement, Karine, Pais, Raluca, Schuppan, Detlef, Allison, Michael, Cuenca, Sergio Rodriguez, Pellegrinelli, Vanessa, Vacca, Michele, Vidal-Puig, Antonio, McGlinchey, Aidan, Sen, Partho, Mato, Jose, Dufour, Jean-Francois, Harrison, Stephen, Neubauer, Stefan, Pavlides, Michael, Mozes, Ferenc, Akhtar, Salma, Banerjee, Rajarshi, Kelly, Matt, Shumbayawonda, Elizabeth, Dennis, Andrea, Erpicum, Charlotte, Romero-Gomez, Manuel, Karsdal, Morten, Leeming, Diana, Fisker, Mette Juul, Erhardtsen, Elisabeth, Rasmussen, Daniel, Qvist, Per, Sinisi, Antonia, Sandt, Estelle, Tonini, Maria Manuela, Parola, Maurizio, Rosso, Chiara, Marra, Fabio, Gastaldelli, Amalia, Francque, Sven, Kechagias, Stergios, Porthan, Kimmo, van Mil, Saskia, Papatheodoridis, George, Cortez-Pinto, Helena, Valenti, Luca, Petta, Salvatore, Miele, Luca, Geier, Andreas, Trautwein, Christian, Hockings, Paul, Newsome, Phil, Wenn, David, Chaumat, Pierre, Rosenquist, Christian, Trylesinski, Aldo, Ortiz, Pablo, Duffin, Kevin, Yunis, Carla, Miller, Melissa, Tuthill, Theresa, Ertle, Judith, Younes, Ramy, Alexander, Leigh, Ostroff, Rachel, Mikkelsen, Lars Friis, Brass, Clifford, Jennings, Lori, Balp, Maria-Magdalena, Martic, Miljen, Hanauer, Guido, Shankar, Sudha, Torstenson, Richard, Ehman, Richard, Kalutkiewicz, Michael, Pepin, Kay, Myers, Joel, Shevell, Diane, Ho, Gideon, Landgren, Henrik, Myers, Rob, Doward, Lynda, Whalley, Diane, and Twiss, James
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Hepatology ,Gastroenterology ,Internal Medicine ,Immunology and Allergy ,digestive system diseases - Abstract
Background & Aims: Serum microRNA (miRNA) levels are known to change in non-alcoholic fatty liver disease (NAFLD) and may serve as useful biomarkers. This study aimed to profile miRNAs comprehensively at all NAFLD stages. Methods: We profiled 2,083 serum miRNAs in a discovery cohort (183 cases with NAFLD representing the complete NAFLD spectrum and 10 population controls). miRNA libraries generated by HTG EdgeSeq were sequenced by Illumina NextSeq. Selected serum miRNAs were profiled in 372 additional cases with NAFLD and 15 population controls by quantitative reverse transcriptase PCR. Results: Levels of 275 miRNAs differed between cases and population controls. Fewer differences were seen within individual NAFLD stages, but miR-193a-5p consistently showed increased levels in all comparisons. Relative to NAFL/non-alcoholic steatohepatitis (NASH) with mild fibrosis (stage 0/1), 3 miRNAs (miR-193a-5p, miR-378d, and miR378d) were increased in cases with NASH and clinically significant fibrosis (stages 2–4), 7 (miR193a-5p, miR-378d, miR-378e, miR-320b, miR-320c, miR-320d, and miR-320e) increased in cases with NAFLD activity score (NAS) 5–8 compared with lower NAS, and 3 (miR-193a-5p, miR-378d, and miR-378e) increased but 1 (miR-19b-3p) decreased in steatosis, activity, and fibrosis (SAF) activity score 2–4 compared with lower SAF activity. The significant findings for miR-193a-5p were replicated in the additional cohort with NAFLD. Studies in Hep G2 cells showed that following palmitic acid treatment, miR-193a-5p expression decreased significantly. Gene targets for miR-193a-5p were investigated in liver RNAseq data for a case subgroup (n = 80); liver GPX8 levels correlated positively with serum miR-193a-5p. Conclusions: Serum miR-193a-5p levels correlate strongly with NAFLD activity grade and fibrosis stage. MiR-193a-5p may have a role in the hepatic response to oxidative stress and is a potential clinically tractable circulating biomarker for progressive NAFLD. Lay summary: MicroRNAs (miRNAs) are small pieces of nucleic acid that may turn expression of genes on or off. These molecules can be detected in the blood circulation, and their levels in blood may change in liver disease including non-alcoholic fatty liver disease (NAFLD). To see if we could detect specific miRNA associated with advanced stages of NAFLD, we carried out miRNA sequencing in a group of 183 patients with NAFLD of varying severity together with 10 population controls. We found that a number of miRNAs showed changes, mainly increases, in serum levels but that 1 particular miRNA miR-193a-5p consistently increased. We confirmed this increase in a second group of cases with NAFLD. Measuring this miRNA in a blood sample may be a useful way to determine whether a patient has advanced NAFLD without an invasive liver biopsy.
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- 2022
9. Parkinson’s disease-associated alterations of the gut microbiome predict disease-relevant changes in metabolic functions
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Baldini, Federico, Hertel, Johannes, Sandt, Estelle, Thinnes, Cyrille C., Neuberger-Castillo, Lorieza, Pavelka, Lukas, Betsou, Fay, Krüger, Rejko, Thiele, Ines, Aguayo, Gloria, Allen, Dominic, Ammerlann, Wim, Aurich, Maike, Balling, Rudi, Banda, Peter, Beaumont, Katy, Becker, Regina, Berg, Daniela, Binck, Sylvia, Bisdorff, Alexandre, Bobbili, Dheeraj, Brockmann, Kathrin, Calmes, Jessica, Castillo, Lorieza, Diederich, Nico, Dondelinger, Rene, Esteves, Daniela, Ferrand, Jean-Yves, Fleming, Ronan, Gantenbein, Manon, Gasser, Thomas, Gawron, Piotr, Geffers, Lars, Giarmana, Virginie, Glaab, Enrico, Gomes, Clarissa P. C., Goncharenko, Nikolai, Graas, Jérôme, Graziano, Mariela, Groues, Valentin, Grünewald, Anne, Gu, Wei, Hammot, Gaël, Hanff, Anne-Marie, Hansen, Linda, Hansen, Maxime, Haraldsdöttir, Hulda, Heirendt, Laurent, Herbrink, Sylvia, Herzinger, Sascha, Heymann, Michael, Hiller, Karsten, Hipp, Geraldine, Hu, Michele, Huiart, Laetitia, Hundt, Alexander, Jacoby, Nadine, Jarosław, Jacek, Jaroz, Yohan, Kolber, Pierre, Kutzera, Joachim, Landoulsi, Zied, Larue, Catherine, Lentz, Roseline, Liepelt, Inga, Liszka, Robert, Longhino, Laura, Lorentz, Victoria, Mackay, Clare, Maetzler, Walter, Marcus, Katrin, Marques, Guilherme, Martens, Jan, Mathay, Conny, Matyjaszczyk, Piotr, May, Patrick, Meisch, Francoise, Menster, Myriam, Minelli, Maura, Mittelbronn, Michel, Mollenhauer, Brit, Mommaerts, Kathleen, Moreno, Carlos, Mühlschlegel, Friedrich, Nati, Romain, Nehrbass, Ulf, Nickels, Sarah, Nicolai, Beatrice, Nicolay, Jean-Paul, Noronha, Alberto, Oertel, Wolfgang, Ostaszewski, Marek, Pachchek, Sinthuja, Pauly, Claire, Perquin, Magali, Reiter, Dorothea, Rosety, Isabel, Rump, Kirsten, Satagopam, Venkata, Schlesser, Marc, Schmitz, Sabine, Schmitz, Susanne, Schneider, Reinhard, Schwamborn, Jens, Schweicher, Alexandra, Simons, Janine, Stute, Lara, Trefois, Christophe, Trezzi, Jean-Pierre, Vaillant, Michel, Vasco, Daniel, Vyas, Maharshi, Wade-Martins, Richard, and Wilmes, Paul
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Male ,Systemic disease ,Parkinson's disease ,Physiology ,Luxembourg ,Plant Science ,Disease ,Transsulfuration pathway ,Biology ,General Biochemistry, Genetics and Molecular Biology ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Structural Biology ,RNA, Ribosomal, 16S ,Pantothenic acid ,medicine ,Humans ,Microbiome ,lcsh:QH301-705.5 ,Ecology, Evolution, Behavior and Systematics ,030304 developmental biology ,Aged ,Metabolic modelling ,0303 health sciences ,Gut microbiome ,Methionine ,Dopaminergic ,Parkinson Disease ,Cell Biology ,Middle Aged ,medicine.disease ,3. Good health ,Gastrointestinal Microbiome ,RNA, Bacterial ,chemistry ,Computational modelling ,lcsh:Biology (General) ,Case-Control Studies ,Parkinson’s disease ,Female ,General Agricultural and Biological Sciences ,030217 neurology & neurosurgery ,Developmental Biology ,Biotechnology ,Research Article - Abstract
Background Parkinson’s disease (PD) is a systemic disease clinically defined by the degeneration of dopaminergic neurons in the brain. While alterations in the gut microbiome composition have been reported in PD, their functional consequences remain unclear. Herein, we addressed this question by an analysis of stool samples from the Luxembourg Parkinson’s Study (n = 147 typical PD cases, n = 162 controls). Results All individuals underwent detailed clinical assessment, including neurological examinations and neuropsychological tests followed by self-reporting questionnaires. Stool samples from these individuals were first analysed by 16S rRNA gene sequencing. Second, we predicted the potential secretion for 129 microbial metabolites through personalised metabolic modelling using the microbiome data and genome-scale metabolic reconstructions of human gut microbes. Our key results include the following. Eight genera and seven species changed significantly in their relative abundances between PD patients and healthy controls. PD-associated microbial patterns statistically depended on sex, age, BMI, and constipation. Particularly, the relative abundances of Bilophila and Paraprevotella were significantly associated with the Hoehn and Yahr staging after controlling for the disease duration. Furthermore, personalised metabolic modelling of the gut microbiomes revealed PD-associated metabolic patterns in the predicted secretion potential of nine microbial metabolites in PD, including increased methionine and cysteinylglycine. The predicted microbial pantothenic acid production potential was linked to the presence of specific non-motor symptoms. Conclusion Our results suggest that PD-associated alterations of the gut microbiome can translate into substantial functional differences affecting host metabolism and disease phenotype.
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- 2020
10. Diagnostic accuracy of elastography and magnetic resonance imaging in patients with NAFLD: A systematic review and meta-analysis
- Author
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Selvaraj, Emmanuel Anandraj, primary, Mózes, Ferenc Emil, additional, Jayaswal, Arjun Narayan Ajmer, additional, Zafarmand, Mohammad Hadi, additional, Vali, Yasaman, additional, Lee, Jenny A., additional, Levick, Christina Kim, additional, Young, Liam Arnold Joseph, additional, Palaniyappan, Naaventhan, additional, Liu, Chang-Hai, additional, Aithal, Guruprasad Padur, additional, Romero-Gómez, Manuel, additional, Brosnan, M. Julia, additional, Tuthill, Theresa A., additional, Anstee, Quentin M., additional, Neubauer, Stefan, additional, Harrison, Stephen A., additional, Bossuyt, Patrick M., additional, Pavlides, Michael, additional, Anstee, Quentin, additional, Daly, Ann, additional, Johnson, Katherine, additional, Govaere, Olivier, additional, Cockell, Simon, additional, Tiniakos, Dina, additional, Bedossa, Pierre, additional, Oakley, Fiona, additional, Cordell, Heather, additional, Day, Chris, additional, Wonders, Kristy, additional, Bossuyt, Patrick, additional, Zafarmand, Hadi, additional, Lee, Jenny, additional, Ratziu, Vlad, additional, Clement, Karine, additional, Pais, Raluca, additional, Schuppan, Detlef, additional, Schattenberg, Jörn, additional, Vidal-Puig, Toni, additional, Vacca, Michele, additional, Rodrigues-Cuenca, Sergio, additional, Allison, Mike, additional, Kamzolas, Ioannis, additional, Petsalaki, Evangelia, additional, Oresic, Matej, additional, Hyötyläinen, Tuulia, additional, McGlinchey, Aiden, additional, Mato, Jose M., additional, Millet, Oscar, additional, Dufour, Jean-François, additional, Berzigotti, Annalisa, additional, Harrison, Stephen, additional, Cobbold, Jeremy, additional, Mozes, Ferenc, additional, Akhtar, Salma, additional, Banerjee, Rajarshi, additional, Kelly, Matt, additional, Shumbayawonda, Elizabeth, additional, Dennis, Andrea, additional, Erpicum, Charlotte, additional, Gómez-González, Emilio, additional, Ampuero, Javier, additional, Castell, Javier, additional, Gallego-Durán, Rocío, additional, Fernández, Isabel, additional, Montero-Vallejo, Rocío, additional, Karsdal, Morten, additional, Erhardtsen, Elisabeth, additional, Rasmussen, Daniel, additional, Leeming, Diana Julie, additional, Fisker, Mette Juul, additional, Sinisi, Antonia, additional, Musa, Kishwar, additional, Betsou, Fay, additional, Sandt, Estelle, additional, Tonini, Manuela, additional, Bugianesi, Elisabetta, additional, Rosso, Chiara, additional, Armandi, Angelo, additional, Marra, Fabio, additional, Gastaldelli, Amalia, additional, Svegliati, Gianluca, additional, Boursier, Jérôme, additional, Francque, Sven, additional, Vonghia, Luisa, additional, Ekstedt, Mattias, additional, Kechagias, Stergios, additional, Yki-Jarvinen, Hannele, additional, Luukkonen, Panu, additional, van Mil, Saskia, additional, Papatheodoridis, George, additional, Cortez-Pinto, Helena, additional, Valenti, Luca, additional, Petta, Salvatore, additional, Miele, Luca, additional, Geier, Andreas, additional, Trautwein, Christian, additional, Aithal, Guru, additional, Hockings, Paul, additional, Newsome, Philip, additional, Wenn, David, additional, Pereira Rodrigues, Cecília Maria, additional, Chaumat, Pierre, additional, Hanf, Rémy, additional, Trylesinski, Aldo, additional, Ortiz, Pablo, additional, Duffin, Kevin, additional, Brosnan, Julia, additional, Tuthill, Theresa, additional, McLeod, Euan, additional, Ertle, Judith, additional, Younes, Ramy, additional, Ostroff, Rachel, additional, Alexander, Leigh, additional, Kjær, Mette Skalshøi, additional, Mikkelsen, Lars Friis, additional, Balp, Maria-Magdalena, additional, Brass, Clifford, additional, Jennings, Lori, additional, Martic, Miljen, additional, Loeffler, Juergen, additional, Hanauer, Guido, additional, Shankar, Sudha, additional, Fournier, Céline, additional, Pepin, Kay, additional, Ehman, Richard, additional, Myers, Joel, additional, Ho, Gideon, additional, Torstenson, Richard, additional, Myers, Rob, additional, and Doward, Lynda, additional
- Published
- 2021
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11. Additional file 1 of Parkinson’s disease-associated alterations of the gut microbiome predict disease-relevant changes in metabolic functions
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Baldini, Federico, Hertel, Johannes, Sandt, Estelle, Thinnes, Cyrille C., Lorieza Neuberger-Castillo, Pavelka, Lukas, Betsou, Fay, Rejko Krüger, and Thiele, Ines
- Abstract
Additional file 1. Extended results on microbial abundance analyses (Fig. S1, S2, and S3) and background information about characteristics of the community models and read counts (Tables S1, S2, S3, and S4).
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- 2020
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12. The CONSTANCES Cohort Biobank: An Open Tool for Research in Epidemiology and Prevention of Diseases
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Henny, Joseph, Nadif, Rachel, Le Got, Stéphane, Lemonnier, Sylvie, Ozguler, Anna, Ruiz, Fabrice, Beaumont, Katy, Brault, Dominique, Sandt, Estelle, Goldberg, Marcel, Zins, Marie, Cohortes épidémiologiques en population (CONSTANCES), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay-Université de Paris (UP), Centre de recherche en épidémiologie et santé des populations (CESP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris-Sud - Paris 11 (UP11)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), ClinSearch [Malakoff, France], Luxembourg Institute of Health (LIH), Integrated BioBank of Luxembourg (IBBL), Université de Paris - UFR Médecine Paris Centre [Santé] (UP Médecine Paris Centre), Université de Paris (UP), Infrastructures en Biologie Santé et Agronomie, IBiSA: ANR-11-INBS-0002 H. Lundbeck A/S AstraZeneca France MSD France, The Constances Cohort Study was supported and funded by the Caisse nationale d’assurance maladie (CNAM). The Constances Cohort Study is an Infrastructure nationale en Biologie et Santé and benefits from a grant from ANR (ANR-11-INBS-0002) and from the Ministry of Research. Constances is also partly funded by MSD, AstraZeneca and Lundbeck., ANR-11-INBS-0002,CONSTANCES,La cohorte CONSTANCES - Infrastructure épidémiologique ouverte pour la recherche et la surveillance(2011), HAL UVSQ, Équipe, Infrastructures - La cohorte CONSTANCES - Infrastructure épidémiologique ouverte pour la recherche et la surveillance - - CONSTANCES2011 - ANR-11-INBS-0002 - INBS - VALID, Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay-Université Paris Cité (UPCité), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Paris-Sud - Paris 11 (UP11)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Paris Cité - UFR Médecine [Santé] (UPCité UFR Médecine), and Université Paris Cité (UPCité)
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biobanking methodology ,[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie ,urine samples ,blood samples ,longitudinal studies ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,DNA ,population-based cohort ,biorepository ,observational studies - Abstract
International audience; “General-purpose cohorts” in epidemiology and public health are designed to cover a broad scope of determinants and outcomes, in order to answer several research questions, including those not defined at study inception. In this context, the general objective of the CONSTANCES project is to set up a large population-based cohort that will contribute to the development of epidemiological research by hosting ancillary projects on a wide range of scientific domains, and to provide public health information. CONSTANCES was designed as a randomly selected sample of French adults aged 18–69 years at study inception; 202,045 subjects were included over an 8-year period. At inclusion, the selected participants are invited to attend one of the 24 participating Health Prevention Centers (HPCs) for a comprehensive health examination. The follow-up includes a yearly self-administered questionnaire, and a periodic visit to an HPC. Procedures have been developed to use the national healthcare databases to allow identification and validation of diseases over the follow-up. The biological collection (serum, lithium heparinized plasma, EDTA plasma, urine and buffy coat) began gradually in June 2018. At the end of the inclusions, specimens from 83,000 donors will have been collected. Specimens are collected according to a standardized protocol, identical in all recruitment centers. All operations relating to bio-banking have been entrusted by Inserm to the Integrated Biobank of Luxembourg (IBBL). A quality management system has been put in place. Particular attention has been paid to the traceability of all operations. The nature of the biological samples stored has been deliberately limited due to the economic and organizational constraints of the inclusion centers. Some research works may require specific collection conditions, and can be developed on request for a limited number of subjects and in specially trained centers. The biological specimens that are collected will allow for a large spectrum of biomarkers studies and genetic and epigenetic markers through candidate or agnostic approaches. By linking the extensive data on personal, lifestyle, environmental, occupational and social factors with the biomarker data, the CONSTANCES cohort offers the opportunity to study the interplays between these factors using an integrative approach and state-of-the-art methods.
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- 2020
13. The Luxembourg Parkinson’s Study: A Comprehensive Approach for Stratification and Early Diagnosis
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Luxembourg Centre for Systems Biomedicine (LCSB) [research center], Hipp Epouse D'amico, Géraldine, Vaillant, Michel, Diederich, Nico J., Roomp, Kirsten, Satagopam, Venkata, Banda, Peter, Sandt, Estelle, Mommaerts, Kathleen, Schmitz, Sabine, Longhino, Laura, Schweicher, Alexandra, Hanff, Anne-Marie, Nicolai, Béatrice, Kolber, Pierre Luc, Reiter, Dorothea, Pavelka, Lukas, Binck, Sylvia, Pauly, Claire, Geffers, Lars, Betsou, Fay, Gantenbein, Manon, Klucken, Jochen, Gasser, Thomas, Hu, Michele, Balling, Rudi, Krüger, Rejko, Luxembourg Centre for Systems Biomedicine (LCSB) [research center], Hipp Epouse D'amico, Géraldine, Vaillant, Michel, Diederich, Nico J., Roomp, Kirsten, Satagopam, Venkata, Banda, Peter, Sandt, Estelle, Mommaerts, Kathleen, Schmitz, Sabine, Longhino, Laura, Schweicher, Alexandra, Hanff, Anne-Marie, Nicolai, Béatrice, Kolber, Pierre Luc, Reiter, Dorothea, Pavelka, Lukas, Binck, Sylvia, Pauly, Claire, Geffers, Lars, Betsou, Fay, Gantenbein, Manon, Klucken, Jochen, Gasser, Thomas, Hu, Michele, Balling, Rudi, and Krüger, Rejko
- Abstract
While genetic advances have successfully defined part of the complexity in Parkinson’s disease (PD), the clinical characterization of phenotypes remains challenging. Therapeutic trials and cohort studies typically include patients with earlier disease stages and exclude comorbidities, thus ignoring a substantial part of the real-world PD population. To account for these limitations, we implemented the Luxembourg PD study as a comprehensive clinical, molecular and device-based approach including patients with typical PD and atypical parkinsonism, irrespective of their disease stage, age, comorbidities, or linguistic background. To provide a large, longitudinally followed, and deeply phenotyped set of patients and controls for clinical and fundamental research on PD, we implemented an open-source digital platform that can be harmonized with international PD cohort studies. Our interests also reflect Luxembourg-specific areas of PD research, including vision, gait, and cognition. This effort is flanked by comprehensive biosampling efforts assuring high quality and sustained availability of body liquids and tissue biopsies. We provide evidence for the feasibility of such a cohort program with deep phenotyping and high quality biosampling on parkinsonism in an environment with structural specificities and alert the international research community to our willingness to collaborate with other centers. The combination of advanced clinical phenotyping approaches including device-based assessment will create a comprehensive assessment of the disease and its variants, its interaction with comorbidities and its progression. We envision the Luxembourg Parkinson’s study as an important research platform for defining early diagnosis and progression markers that translate into stratified treatment approaches.
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- 2018
14. The Luxembourg Parkinson’s Study: A Comprehensive Approach for Stratification and Early Diagnosis
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Hipp, Geraldine, primary, Vaillant, Michel, additional, Diederich, Nico J., additional, Roomp, Kirsten, additional, Satagopam, Venkata P., additional, Banda, Peter, additional, Sandt, Estelle, additional, Mommaerts, Kathleen, additional, Schmitz, Sabine K., additional, Longhino, Laura, additional, Schweicher, Alexandra, additional, Hanff, Anne-Marie, additional, Nicolai, Béatrice, additional, Kolber, Pierre, additional, Reiter, Dorothea, additional, Pavelka, Lukas, additional, Binck, Sylvia, additional, Pauly, Claire, additional, Geffers, Lars, additional, Betsou, Fay, additional, Gantenbein, Manon, additional, Klucken, Jochen, additional, Gasser, Thomas, additional, Hu, Michele T., additional, Balling, Rudi, additional, and Krüger, Rejko, additional
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- 2018
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15. Additional file 1: Table S1â S3. of The cardiovascular and hypothalamus-pituitary-adrenal axis response to stress is controlled by glucocorticoid receptor sequence variants and promoter methylation
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Li-Tempel, Ting, Larra, Mauro, Sandt, Estelle, MÊriaux, Sophie, Schote, Andrea, SchäChinger, Hartmut, Muller, Claude, and Turner, Jonathan
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Table S1. Commonly reported haplotypes. Table S2. GR SNPs PCR primers and their reaction condition. Table S3. Association of GR gene SNPs and haplotypes with response of blood pressure, heart rate and cortisol response effect by SECPT.
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- 2016
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16. Relations entre méthylation de l’ADN et facteurs de risque des pathologies liées au stress, pathologies cardio-vasculaires, infectieuses et mentales : une étude épidémiologique
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Sandt, Estelle, Université de Lorraine (UL), Université de Lorraine, Jonathan Turner, and Ndeye Coumba Ndiaye
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Neuroimmunologie ,ADN ,Méthylation ,Stress - Aspect physiologique ,Thèse d'exercice de pharmacie ,Glucocorticoïdes ,Non disponible / Not available ,[SDV.SP]Life Sciences [q-bio]/Pharmaceutical sciences ,Epigénétique - Abstract
Gene expression is regulated by a wide range of mechanisms including endogenicmechanisms and external environmental factors. Epigenetic factors areconsidered to be the principal interface between the genome and theenvironment (Fraga, M 2005) (Szyf, M 2011a) (Szyf, M 2011b). Among thesemechanisms DNA methylation is probably the best understood. Moreover theDNA methylation pattern is susceptible to modifications induced byenvironmental factorsTaking into account its implication in the regulation of gene transcription andsilencing (Bird, A 2007), DNA methylation may also play a critical role in thedevelopment of various diseases including stress related disorders..The Department of Immunology of the “Centre de Recherche Public de la Santé”(CRP-Santé) in Luxembourg has gained considerable experience in clinicalstudies as well as in epigenetics, especially concerning stress response genes. Ihad the opportunity to pursue my Master internship in this Department workingon two academic exploratory studies projects related to the link between DNAmethylation and stress response.First, I was responsible for the data analysis of the “Cold Pressor Test” study.This study demonstrated the association between the stress response induced bya validated stress test: the Cold Pressor Test, and the methylation of theglucocorticoid receptor (GR) gene.These results, together with previous non clinical studies lead thePsychoImmunology team to design the “Long term epigenetic and physiologicaleffects of early life adversity” (EpiPath) study. EpiPath will examine the impact ofEarly Life Adversity (ELA) on the potential risk factors of major public healthproblems: cardiovascular, mental, immune system diseases and stress responsealterations. These are multifactorial diseases meaning that these conditionsdevelopment depends on the presence of genetics, epigenetics andenvironmental factors. The link between ELA and those pathologies in adulthoodis already settled and the aim of this present study is to provide a betterunderstanding of the impact of ELA on epigenetic methylation and on its clinicconsequences.; L’expression des gènes est régulée en partie par de nombreux mécanismes endogènes, mais également par desfacteurs environnementaux. Les modifications épigénétiques représentent la principale interface entre le génomeet l’environnement[1][2][3]. Parmi les différents mécanismes épigénétiques, la méthylation de l’ADN est sansdoute la mieux connue. De plus le profil de méthylation de l’ADN est susceptible de subir des modificationsinduites par des facteurs environnementaux.Compte tenu de son implication dans la régulation de la transcription et l’inactivation des gènes[4], laméthylation de l’ADN pourrait également jouer un rôle clé dans l’apparition de différentes maladies, incluant lesmaladies liées au stress.Le Département d’Immunologie du Centre de Recherche Public de la Santé (CRP-Santé) de Luxembourg aacquis une expérience considérable dans le domaine de l’épigénétique, en particulier concernant les gènesimpliqués dans la réponse au stress ainsi que dans la conduite d’études cliniques. Mon stage de Master 2 au seinde ce Département, m’a permis de travailler sur deux études portant sur le niveau de méthylation de l’ADN.L’étude “Cold Pressor Test” a montré un lien entre la réponse à un stress induite par un test validé- le ColdPressor Test - et la méthylation du gène du récepteur aux glucocorticoïdes (GR). Durant mon stage, je me suischargée de l’analyse des données de cette étude.Ces résultats ainsi que ceux d’études précédentes menées par le groupe PsychoImmunologie du CRP-Santé ontconduit à l’élaboration du protocole de l’étude “Long term epigenetic and physiological effects of early lifeadversity” (EpiPath). EpiPath analysera l’impact des maltraitances subies durant la petite enfance, ou "Early LifeAdversity" (ELA) sur les facteurs de risque de problèmes de santé publiques majeurs: maladiescardiovasculaires, mentales, du système immunitaire et altération de la réponse au stress. Le lien entre desantécédents d’ELA et la survenue de ces pathologies ayant déjà été mis en évidence, l’objectif de cette étudeest de fournir une meilleure compréhension de l’impact de l’ELA sur la méthylation de l’ADN et lesconséquences cliniques.
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- 2014
17. The cardiovascular and hypothalamus-pituitary-adrenal axis response to stress is controlled by glucocorticoid receptor sequence variants and promoter methylation
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Li-Tempel, Ting, primary, Larra, Mauro F., additional, Sandt, Estelle, additional, Mériaux, Sophie B., additional, Schote, Andrea B., additional, Schächinger, Hartmut, additional, Muller, Claude P., additional, and Turner, Jonathan D., additional
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- 2016
- Full Text
- View/download PDF
18. The cardiovascular and hypothalamus-pituitary-adrenal axis response to stress is controlled by glucocorticoid receptor sequence variants and promoter methylation.
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Ting Li-Tempel, Schote, Andrea B., Larra, Mauro F., Schächinger, Hartmut, Sandt, Estelle, Mériaux, Sophie B., Turner, Jonathan D., and Muller, Claude P.
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- 2016
- Full Text
- View/download PDF
19. Increased serum miR-193a-5p during non-alcoholic fatty liver disease progression: Diagnostic and mechanistic relevance
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Raluca Pais, Rachel Ostroff, Stephen Harrison, Lars Friis Mikkelsen, Elisabeth Erhardtsen, Sudha Shankar, Kimmo Porthan, Jérôme Boursier, Antonia Sinisi, Michael Kalutkiewicz, Sven Francque, Miljen Martic, Vanessa Pellegrinelli, Phil N. Newsome, Guido Hanauer, Hannele Yki-Järvinen, Rebecca Darlay, Joel Myers, Carla Yunis, Salvatore Petta, Mette Skalshøi Kjær, Pablo Ortiz, Ann K. Daly, James H. Clark, Dina Tiniakos, Yasaman Vali, Hadi Zafarmand, Matej Orešič, Maurizio Parola, Estelle Sandt, Lori L. Jennings, Matt Kelly, Tuulia Hyötyläinen, Detlef Schuppan, Céline Fournier, Chiara Rosso, Diane E. Shevell, Maria Manuela Tonini, Paul Hockings, Aidan McGlinchey, Salma Akhtar, Mette Juul Fisker, Morten A. Karsdal, Diane Whalley, Melissa R. Miller, Aldo Trylesinski, Mattias Ekstedt, Stefan Neubauer, Jeremy M. Palmer, Partho Sen, Michael Pavlides, Per Qvist, Isabel Fernández, Luca Miele, Fabio Marra, Stergios Kechagias, Richard Torstenson, Katherine Johnson, Jean-François Dufour, Elisabetta Bugianesi, M. Julia Brosnan, George V. Papatheodoridis, Kay M. Pepin, Daniel Guldager Kring Rasmussen, Henrik Landgren, Rachel Queen, Simon Cockell, Michael Allison, Patrick M.M. Bossuyt, Rocío Gallego-Durán, Christian Rosenquist, Leigh Alexander, Elizabeth Shumbayawonda, Michele Vacca, Antonio Vidal-Puig, David Wenn, Rémy Hanf, Oscar Millet, Michalina Zatorska, R. Myers, José M. Mato, Jenny Lee, Theresa Tuthill, James Twiss, Ramy Younes, Peter Leary, Lynda Doward, Kristy Wonders, Guruprasad P. Aithal, Sarah Charlton, Vlad Ratziu, Cecília M. P. Rodrigues, Christian Trautwein, Helena Cortez-Pinto, Gideon Ho, Matt J. Barter, Judith Ertle, Jörn M. Schattenberg, Maria-Magdalena Balp, Yang-Lin Liu, Clifford A. Brass, Olivier Govaere, Amalia Gastaldelli, Sergio Rodriguez Cuenca, Pierre Chaumat, Fiona Oakley, Luca Valenti, Simon J. Cockell, Saskia W.C. van Mil, Ferenc E. Mózes, Andreas Geier, Timothy Hardy, Pierre Bedossa, Andrea Dennis, Richard L. Ehman, Charlotte Erpicum, Karine Clément, Jeremy F. L. Cobbold, Christopher P. Day, Rajarshi Banerjee, Manuel Romero-Gómez, Quentin M. Anstee, Adriaan G. Holleboom, Heather J. Cordell, Kevin L. Duffin, Diana Julie Leeming, Epidemiology and Data Science, APH - Methodology, APH - Personalized Medicine, Vascular Medicine, ACS - Diabetes & metabolism, AGEM - Amsterdam Gastroenterology Endocrinology Metabolism, APH - Aging & Later Life, ARD - Amsterdam Reproduction and Development, Graduate School, Investigators, LITMUS Consortium, Johnson K., Leary P.J., Govaere O., Barter M.J., Charlton S.H., Cockell S.J., Tiniakos D., Zatorska M., Bedossa P., Brosnan M.J., Cobbold J.F., Ekstedt M., Aithal G.P., Clement K., Schattenberg J.M., Boursier J., Ratziu V., Bugianesi E., Anstee Q.M., Daly A.K., Clark J., Cordell H.J., Darlay R., Day C.P., Hardy T., Liu Y.-L., Oakley F., Palmer J., Queen R., Wonders K., Bossuyt P.M., Holleboom A.G., Zafarmand H., Vali Y., Lee J., Pais R., Schuppan D., Allison M., Cuenca S.R., Pellegrinelli V., Vacca M., Vidal-Puig A., Hyotylainen T., McGlinchey A., Oresic M., Sen P., Mato J., Millet O., Dufour J.-F., Harrison S., Neubauer S., Pavlides M., Mozes F., Akhtar S., Banerjee R., Kelly M., Shumbayawonda E., Dennis A., Erpicum C., Romero-Gomez M., Gallego-Duran R., Fernandez I., Karsdal M., Leeming D., Fisker M.J., Erhardtsen E., Rasmussen D., Qvist P., Sinisi A., Sandt E., Tonini M.M., Parola M., Rosso C., Marra F., Gastaldelli A., Francque S., Kechagias S., Yki-Jarvinen H., Porthan K., van Mil S., Papatheodoridis G., Cortez-Pinto H., Valenti L., Petta S., Miele L., Geier A., Trautwein C., Hockings P., Newsome P., Wenn D., Pereira Rodrigues C.M., Hanf R., Chaumat P., Rosenquist C., Trylesinski A., Ortiz P., Duffin K., Yunis C., Miller M., Tuthill T., Ertle J., Younes R., Alexander L., Ostroff R., Kjaer M.S., Mikkelsen L.F., Brass C., Jennings L., Balp M.-M., Martic M., Hanauer G., Shankar S., Torstenson R., Fournier C., Ehman R., Kalutkiewicz M., Pepin K., Myers J., Shevell D., Ho G., Landgren H., Myers R., Doward L., Whalley D., Twiss J., Miller, Melissa, Tuthill, Theresa, Ertle, Judith, Younes, Ramy, Alexander, Leigh, Ostroff, Rachel, Kjær, Mette Skalshøi, Mikkelsen, Lars Friis, Brass, Clifford, Jennings, Lori, Balp, Maria-Magdalena, Martic, Miljen, Hanauer, Guido, Shankar, Sudha, Torstenson, Richard, Fournier, Céline, Ehman, Richard, Kalutkiewicz, Michael, Pepin, Kay, Myers, Joel, Shevell, Diane, Ho, Gideon, Landgren, Henrik, Myers, Rob, Doward, Lynda, Whalley, Diane, Twiss, James, Clark, James, Cordell, Heather J., Darlay, Rebecca, Day, Christopher P., Hardy, Tim, Liu, Yang-Lin, Oakley, Fiona, Palmer, Jeremy, Queen, Rachel, Wonders, Kristy, Bossuyt, Patrick M., Holleboom, Adriaan G., Zafarmand, Hadi, Vali, Yasaman, Lee, Jenny, Clement, Karine, Pais, Raluca, Schuppan, Detlef, Allison, Michael, Cuenca, Sergio Rodriguez, Pellegrinelli, Vanessa, Vacca, Michele, Vidal-Puig, Antonio, Hyötyläinen, Tuulia, McGlinchey, Aidan, Orešič, Matej, Sen, Partho, Mato, Jose, Millet, Óscar, Dufour, Jean-Francois, Harrison, Stephen, Neubauer, Stefan, Pavlides, Michael, Mozes, Ferenc, Akhtar, Salma, Banerjee, Rajarshi, Kelly, Matt, Shumbayawonda, Elizabeth, Dennis, Andrea, Erpicum, Charlotte, Romero-Gomez, Manuel, Gallego-Durán, Rocío, Fernández, Isabel, Karsdal, Morten, Leeming, Diana, Fisker, Mette Juul, Erhardtsen, Elisabeth, Rasmussen, Daniel, Qvist, Per, Sinisi, Antonia, Sandt, Estelle, Tonini, Maria Manuela, Parola, Maurizio, Rosso, Chiara, Marra, Fabio, Gastaldelli, Amalia, Francque, Sven, Kechagias, Stergios, Yki-Järvinen, Hannele, Porthan, Kimmo, van Mil, Saskia, Papatheodoridis, George, Cortez-Pinto, Helena, Valenti, Luca, Petta, Salvatore, Miele, Luca, Geier, Andreas, Trautwein, Christian, Hockings, Paul, Newsome, Phil, Wenn, David, Pereira Rodrigues, Cecília Maria, Hanf, Rémy, Chaumat, Pierre, Rosenquist, Christian, Trylesinski, Aldo, Ortiz, Pablo, Duffin, Kevin, and Yunis, Carla
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SCORING SYSTEM ,CPM, counts per million ,AUROC, area under the receiver operating characteristic ,RC799-869 ,AST, aspartate aminotransferase ,MicroRNA ,Non-alcoholic fatty liver disease ,Biomarker ,Sequencing ,TGF-β, transforming growth factor-beta ,Gastroenterology ,STEATOHEPATITIS ,Liver disease ,0302 clinical medicine ,Fibrosis ,miRNA, microRNA ,logFC, log2 fold change ,FIBROSIS ,Immunology and Allergy ,0303 health sciences ,education.field_of_study ,NAS, NAFLD activity score ,medicine.diagnostic_test ,Fatty liver ,GTEx, Genotype-Tissue Expression ,Diseases of the digestive system. Gastroenterology ,3. Good health ,Real-time polymerase chain reaction ,Biomarker, MicroRNA, Non-alcoholic fatty liver disease, Sequencing ,Liver biopsy ,ACID ,Biomarker (medicine) ,030211 gastroenterology & hepatology ,Life Sciences & Biomedicine ,Research Article ,EXPRESSION ,medicine.medical_specialty ,NAFLD, non-alcoholic fatty liver disease ,NASH, non-alcoholic steatohepatitis ,Population ,Gastroenterology and Hepatology ,SAF, steatosis–activity–fibrosis ,VALIDATION ,ER, endoplasmic reticulum ,03 medical and health sciences ,cDNA, complementary DNA ,Internal medicine ,ALT, alanine aminotransferase ,Gastroenterologi ,Internal Medicine ,medicine ,NAFL, non-alcoholic fatty liver ,ALGORITHM ,FIB-4, fibrosis-4 ,education ,030304 developmental biology ,PCA, principal component analysis ,Science & Technology ,Gastroenterology & Hepatology ,Hepatology ,business.industry ,FC, fold change ,medicine.disease ,digestive system diseases ,FLIP, fatty liver inhibition of progression ,Ct, cycle threshold ,Steatosis ,qPCR, quantitative PCR ,business - Abstract
Background & Aims Serum microRNA (miRNA) levels are known to change in non-alcoholic fatty liver disease (NAFLD) and may serve as useful biomarkers. This study aimed to profile miRNAs comprehensively at all NAFLD stages. Methods We profiled 2,083 serum miRNAs in a discovery cohort (183 cases with NAFLD representing the complete NAFLD spectrum and 10 population controls). miRNA libraries generated by HTG EdgeSeq were sequenced by Illumina NextSeq. Selected serum miRNAs were profiled in 372 additional cases with NAFLD and 15 population controls by quantitative reverse transcriptase PCR. Results Levels of 275 miRNAs differed between cases and population controls. Fewer differences were seen within individual NAFLD stages, but miR-193a-5p consistently showed increased levels in all comparisons. Relative to NAFL/non-alcoholic steatohepatitis (NASH) with mild fibrosis (stage 0/1), 3 miRNAs (miR-193a-5p, miR-378d, and miR378d) were increased in cases with NASH and clinically significant fibrosis (stages 2–4), 7 (miR193a-5p, miR-378d, miR-378e, miR-320b, miR-320c, miR-320d, and miR-320e) increased in cases with NAFLD activity score (NAS) 5–8 compared with lower NAS, and 3 (miR-193a-5p, miR-378d, and miR-378e) increased but 1 (miR-19b-3p) decreased in steatosis, activity, and fibrosis (SAF) activity score 2–4 compared with lower SAF activity. The significant findings for miR-193a-5p were replicated in the additional cohort with NAFLD. Studies in Hep G2 cells showed that following palmitic acid treatment, miR-193a-5p expression decreased significantly. Gene targets for miR-193a-5p were investigated in liver RNAseq data for a case subgroup (n = 80); liver GPX8 levels correlated positively with serum miR-193a-5p. Conclusions Serum miR-193a-5p levels correlate strongly with NAFLD activity grade and fibrosis stage. MiR-193a-5p may have a role in the hepatic response to oxidative stress and is a potential clinically tractable circulating biomarker for progressive NAFLD. Lay summary MicroRNAs (miRNAs) are small pieces of nucleic acid that may turn expression of genes on or off. These molecules can be detected in the blood circulation, and their levels in blood may change in liver disease including non-alcoholic fatty liver disease (NAFLD). To see if we could detect specific miRNA associated with advanced stages of NAFLD, we carried out miRNA sequencing in a group of 183 patients with NAFLD of varying severity together with 10 population controls. We found that a number of miRNAs showed changes, mainly increases, in serum levels but that 1 particular miRNA miR-193a-5p consistently increased. We confirmed this increase in a second group of cases with NAFLD. Measuring this miRNA in a blood sample may be a useful way to determine whether a patient has advanced NAFLD without an invasive liver biopsy., Graphical abstract, Highlights • Serum miRNA was sequenced in 183 NAFLD cases of varying severity and 10 population controls. • Plasma levels of miR-193a-5p were significantly increased in patients with advanced fibrosis, high NAS scores, or high SAF scores. • Other miRNAs including miR378d and miR378e were also significantly increased in certain comparisons. • The findings for miR-193a-5p were replicated in a cohort of 372 additional NAFLD cases.
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- 2022
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