Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Iulian Dragan"'
Autor:
Shiying Li, Iulian Dragan, Van Du T. Tran, Chun Ho Fung, Dmitry Kuznetsov, Michael K. Hansen, Joline W. J. Beulens, Leen M. ‘t Hart, Roderick C. Slieker, Louise A. Donnelly, Mathias J. Gerl, Christian Klose, Florence Mehl, Kai Simons, Petra J. M. Elders, Ewan R. Pearson, Guy A. Rutter, Mark Ibberson
Publikováno v:
Frontiers in Endocrinology, Vol 15 (2024)
IntroductionType 2 diabetes (T2D) onset, progression and outcomes differ substantially between individuals. Multi-omics analyses may allow a deeper understanding of these differences and ultimately facilitate personalised treatments. Here, in an unsu
Externí odkaz:
https://doaj.org/article/8020ce5607d8402da7325136b175bf1e
Autor:
Roderick C. Slieker, Louise A. Donnelly, Elina Akalestou, Livia Lopez-Noriega, Rana Melhem, Ayşim Güneş, Frederic Abou Azar, Alexander Efanov, Eleni Georgiadou, Hermine Muniangi-Muhitu, Mahsa Sheikh, Giuseppe N. Giordano, Mikael Åkerlund, Emma Ahlqvist, Ashfaq Ali, Karina Banasik, Søren Brunak, Marko Barovic, Gerard A. Bouland, Frédéric Burdet, Mickaël Canouil, Iulian Dragan, Petra J. M. Elders, Celine Fernandez, Andreas Festa, Hugo Fitipaldi, Phillippe Froguel, Valborg Gudmundsdottir, Vilmundur Gudnason, Mathias J. Gerl, Amber A. van der Heijden, Lori L. Jennings, Michael K. Hansen, Min Kim, Isabelle Leclerc, Christian Klose, Dmitry Kuznetsov, Dina Mansour Aly, Florence Mehl, Diana Marek, Olle Melander, Anne Niknejad, Filip Ottosson, Imre Pavo, Kevin Duffin, Samreen K. Syed, Janice L. Shaw, Over Cabrera, Timothy J. Pullen, Kai Simons, Michele Solimena, Tommi Suvitaival, Asger Wretlind, Peter Rossing, Valeriya Lyssenko, Cristina Legido Quigley, Leif Groop, Bernard Thorens, Paul W. Franks, Gareth E. Lim, Jennifer Estall, Mark Ibberson, Joline W. J. Beulens, Leen M ’t Hart, Ewan R. Pearson, Guy A. Rutter
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-18 (2023)
Abstract We identify biomarkers for disease progression in three type 2 diabetes cohorts encompassing 2,973 individuals across three molecular classes, metabolites, lipids and proteins. Homocitrulline, isoleucine and 2-aminoadipic acid, eight triacyl
Externí odkaz:
https://doaj.org/article/8eb84b4a486246dfb262ac9be25f0911
Autor:
Carl Delfin, Iulian Dragan, Dmitry Kuznetsov, Juan Fernandez Tajes, Femke Smit, Daniel E. Coral, Ali Farzaneh, André Haugg, Andreas Hungele, Anne Niknejad, Christopher Hall, Daan Jacobs, Diana Marek, Diane P. Fraser, Dorothee Thuillier, Fariba Ahmadizar, Florence Mehl, Francois Pattou, Frederic Burdet, Gareth Hawkes, Ilja C. W. Arts, Jordi Blanch, Johan Van Soest, José-Manuel Fernández-Real, Juergen Boehl, Katharina Fink, Marleen M. J. van Greevenbroek, Maryam Kavousi, Michiel Minten, Nicole Prinz, Niels Ipsen, Paul W. Franks, Rafael Ramos, Reinhard W. Holl, Scott Horban, Talita Duarte-Salles, Van Du T. Tran, Violeta Raverdy, Yenny Leal, Adam Lenart, Ewan Pearson, Thomas Sparsø, Giuseppe N. Giordano, Vassilios Ioannidis, Keng Soh, Timothy M. Frayling, Carel W. Le Roux, Mark Ibberson
Publikováno v:
Life, Vol 14, Iss 2, p 262 (2024)
Obesity is considered by many as a lifestyle choice rather than a chronic progressive disease. The Innovative Medicines Initiative (IMI) SOPHIA (Stratification of Obesity Phenotypes to Optimize Future Obesity Therapy) project is part of a momentum sh
Externí odkaz:
https://doaj.org/article/343e0c783d8e4fc48237db8466dd4363
Autor:
Shiying Li, Iulian Dragan, Chun Ho Fung, Dmitry Kuznetsov, Michael K. Hansen, Joline W.J. Beulens, Leen M. ’t Hart, Roderick C. Slieker, Louise A. Donnelly, Mathias J. Gerl, Christian Klose, Florence Mehl, Kai Simons, Petra JM Elders, Ewan R. Pearson, Guy A. Rutter, Mark Ibberson
Type 2 diabetes is a complex, multifactorial disease with varying presentation and underlying pathophysiology. Recent studies using data-driven cluster analysis have led to a stratification of type 2 diabetes into novel subgroups based on six clinica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1bb407838f1290f327a42906f6d7615
https://doi.org/10.1101/2022.09.03.22279563
https://doi.org/10.1101/2022.09.03.22279563
Autor:
Sheikh M, Kai Simons, Florence Mehl, Dina Mansour Aly, Marko Barovic, Peter Rossing, Frédéric Burdet, Timothy J. Pullen, Min Kim, Filip Ottosson, Iulian Dragan, t Hart Lm, Imre Pavo, Asger Wretlind, Michele Solimena, Joline W.J. Beulens, Petra J. M. Elders, Gudmundsdottir, Céline Fernandez, M.J. Gerl, Giuseppe N. Giordano, Muniangi-Muhitu H, Mikael Åkerlund, Efanov A, Louise A. Donnelly, Lopez-Noriega L, Diana Marek, Kevin L. Duffin, Hugo Fitipaldi, Christian Klose, Guy A. Rutter, Olle Melander, Emma Ahlqvist, Lori L. Jennings, Akalestou E, Michael K. Hansen, Adnan Ali, Gerard A Bouland, Tommi Suvitaival, Bernard Thorens, Gudnason, Georgiadou E, Niknejad A, Leif Groop, E R Pearson, Mickaël Canouil, Paul W. Franks, Mark Ibberson, Leclerc I, Lyssenko, Roderick C. Slieker, Dmitry Kuznetsov, van der Heijden Aa, Cristina Legido Quigley, Philippe Froguel, Andreas Festa
We have deployed a multi-omics approach in large cohorts of patients with existing type 2 diabetes to identify biomarkers for disease progression across three molecular classes, metabolites, lipids and proteins. A Cox regression analysis for associat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a15c00e04b68fe5497562b58ccd88494
https://doi.org/10.1101/2021.04.22.21255625
https://doi.org/10.1101/2021.04.22.21255625
Autor:
Mathias J. Gerl, Hugo Fitipaldi, Michael K. Hansen, Mikael Åkerlund, Leif Groop, Roderick C. Slieker, Kai Simons, Guy A. Rutter, Ewan R. Pearson, Louise A. Donnelly, Peter Rossing, Gerard A Bouland, Min Kim, Mark Ibberson, Amber A. van der Heijden, Dmitry Kuznetsov, Christian Klose, Florence Mehl, Timothy J. Pullen, Giuseppe N. Giordano, Valeriya Lyssenko, Iulian Dragan, Emma Ahlqvist, Andreas Festa, Dina Mansour Aly, Paul W. Franks, Cristina Legido Quigley, Asger Wretlind, Petra J. M. Elders, Imre Pavo, Joline W. J. Beulens, Adnan Ali, Bernard Thorens, Leen M 't Hart, Tommi Suvitaival
Publikováno v:
Slieker, R C, Donnelly, L A, Fitipaldi, H, Bouland, G A, Giordano, G N, Åkerlund, M, Gerl, M J, Ahlqvist, E, Ali, A, Dragan, I, Elders, P, Festa, A, Hansen, M K, van der Heijden, A A, Mansour Aly, D, Kim, M, Kuznetsov, D, Mehl, F, Klose, C, Simons, K, Pavo, I, Pullen, T J, Suvitaival, T, Wretlind, A, Rossing, P, Lyssenko, V, Legido Quigley, C, Groop, L, Thorens, B, Franks, P W, Ibberson, M, Rutter, G A, Beulens, J W J, 't Hart, L M & Pearson, E R 2021, ' Distinct Molecular Signatures of Clinical Clusters in People With Type 2 Diabetes : An IMI-RHAPSODY Study ', Diabetes, vol. 70, no. 11, pp. 2683-2693 . https://doi.org/10.2337/db20-1281
Diabetes
Slieker, R C, Donnelly, L A, Fitipaldi, H, Bouland, G A, Giordano, G N, Åkerlund, M, Gerl, M J, Ahlqvist, E, Ali, A, Dragan, I, Elders, P, Festa, A, Hansen, M K, van der Heijden, A A, Mansour Aly, D, Kim, M, Kuznetsov, D, Mehl, F, Klose, C, Simons, K, Pavo, I, Pullen, T J, Suvitaival, T, Wretlind, A, Rossing, P, Lyssenko, V, Legido Quigley, C, Groop, L, Thorens, B, Franks, P W, Ibberson, M, Rutter, G A, Beulens, J W J, 't Hart, L M & Pearson, E R 2021, ' Distinct Molecular Signatures of Clinical Clusters in People With Type 2 Diabetes : An IMI-RHAPSODY Study ', Diabetes, vol. 70, no. 11, pp. 2683-2693 . https://doi.org/10.2337/db20-1281, https://doi.org/10.2337/db20-1281
Diabetes, 70(11), 2683-2693. American Diabetes Association Inc.
Diabetes, 70(11), 2683-2693. AMER DIABETES ASSOC
Diabetes
Slieker, R C, Donnelly, L A, Fitipaldi, H, Bouland, G A, Giordano, G N, Åkerlund, M, Gerl, M J, Ahlqvist, E, Ali, A, Dragan, I, Elders, P, Festa, A, Hansen, M K, van der Heijden, A A, Mansour Aly, D, Kim, M, Kuznetsov, D, Mehl, F, Klose, C, Simons, K, Pavo, I, Pullen, T J, Suvitaival, T, Wretlind, A, Rossing, P, Lyssenko, V, Legido Quigley, C, Groop, L, Thorens, B, Franks, P W, Ibberson, M, Rutter, G A, Beulens, J W J, 't Hart, L M & Pearson, E R 2021, ' Distinct Molecular Signatures of Clinical Clusters in People With Type 2 Diabetes : An IMI-RHAPSODY Study ', Diabetes, vol. 70, no. 11, pp. 2683-2693 . https://doi.org/10.2337/db20-1281, https://doi.org/10.2337/db20-1281
Diabetes, 70(11), 2683-2693. American Diabetes Association Inc.
Diabetes, 70(11), 2683-2693. AMER DIABETES ASSOC
Type 2 diabetes is a multifactorial disease with multiple underlying aetiologies. To address this heterogeneity, investigators of a previous study clustered people with diabetes according to five diabetes subtypes. The aim of the current study is to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b8a1acf27dbf824bccb8f43af112859
https://curis.ku.dk/ws/files/288184642/477968816.pdf
https://curis.ku.dk/ws/files/288184642/477968816.pdf
Autor:
Mikael Åkerlund, Imre Pavo, Peter Rossing, Adnan Ali, Min Kim, Bernard Thorens, Andreas Festa, Christian Klose, Florence Mehl, Mathias J. Gerl, Louise A. Donnelly, Dmitry Kuznetsov, Hugo Fitipaldi, Timothy J. Pullen, Gerard A Bouland, Kai Simons, Ewan R. Pearson, Michael K. Hansen, Iulian Dragan, Mark Ibberson, Cristina Legido Quigley, Emma Ahlqvist, Paul W. Franks, Leif Groop, Guy A. Rutter, Giuseppe N. Giordano, Dina Mansour Aly, Valeriya Lyssenko, Leen M 't Hart, Tommi Suvitaival, Roderick C. Slieker, Asger Wretlind, Joline W.J. Beulens
Aims/hypothesisFive clusters based on clinical characteristics have been suggested as diabetes subtypes: one autoimmune and four subtypes of type 2 diabetes (T2D). In the current study we replicate and cross-validate these T2D clusters in three large
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a22d6aa84beb7f9ee15d66887f4ecd6d
https://doi.org/10.1101/2020.12.21.20248628
https://doi.org/10.1101/2020.12.21.20248628
SummarydsSwissKnife is an R package that enables several powerful analyses to be performed on federated datasets. The package works alongside DataSHIELD and extends its functionality. We have developed and implemented dsSwissKnife in a large IMI proj
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66ad41cc7d1fe773a79aa586a73038f0
https://doi.org/10.1101/2020.11.17.386813
https://doi.org/10.1101/2020.11.17.386813