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Title: | Identification of biomarkers for glycaemic deterioration in type 2 diabetes | Authors: | Slieker, Roderick C. Donnelly, Louise A. Akalestou, Elina Lopez-Noriega, Livia Melhem, Rana Güneş, Ayşim Azar, Frederic Abou Efanov, Alexander Georgiadou, Eleni Muniangi-Muhitu, Hermine Sheikh, Mahsa Giordano, Giuseppe N. Åkerlund, Mikael Ahlqvist, Emma Ali, Ashfaq Banasik, Karina Brunak, Søren Barovic, Marko Bouland, Gerard A. Burdet, Frédéric Canouil, Mickaël Dragan, Iulian Elders, Petra J. M. Fernandez, Celine Festa, Andreas Fitipaldi, Hugo Froguel, Phillippe Gudmundsdottir, Valborg Gudnason, Vilmundur Gerl, Mathias J. van der Heijden, Amber A. Jennings, Lori L. Hansen, Michael K. Kim, Min Leclerc, Isabelle Klose, Christian Kuznetsov, Dmitry Aly, Dina Mansour Mehl, Florence Marek, Diana Melander, Olle Niknejad, Anne Ottosson, Filip Pavo, Imre Duffin, Kevin Syed, Samreen K. Shaw, Janice L. Cabrera, Over Pullen, Timothy J. Simons, Kai Solimena, Michele Suvitaival, Tommi Wretlind, Asger Rossing, Peter Lyssenko, Valeriya Quigley, Cristina Legido Groop, Leif Thorens, Bernard Franks, Paul W. Lim, Gareth E. Estall, Jennifer Ibberson, Mark Beulens, Joline W. J. Hart, Leen M. 't Pearson, Ewan R. Rutter, Guy A. |
Keywords: | Science::Medicine | Issue Date: | 2023 | Source: | Slieker, R. C., Donnelly, L. A., Akalestou, E., Lopez-Noriega, L., Melhem, R., Güneş, A., Azar, F. A., Efanov, A., Georgiadou, E., Muniangi-Muhitu, H., Sheikh, M., Giordano, G. N., Åkerlund, M., Ahlqvist, E., Ali, A., Banasik, K., Brunak, S., Barovic, M., Bouland, G. A., ...Rutter, G. A. (2023). Identification of biomarkers for glycaemic deterioration in type 2 diabetes. Nature Communications, 14(1), 2533-. https://dx.doi.org/10.1038/s41467-023-38148-7 | Journal: | Nature Communications | 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 triacylglycerol species, and lowered sphingomyelin 42:2;2 levels are predictive of faster progression towards insulin requirement. Of ~1,300 proteins examined in two cohorts, levels of GDF15/MIC-1, IL-18Ra, CRELD1, NogoR, FAS, and ENPP7 are associated with faster progression, whilst SMAC/DIABLO, SPOCK1 and HEMK2 predict lower progression rates. In an external replication, proteins and lipids are associated with diabetes incidence and prevalence. NogoR/RTN4R injection improved glucose tolerance in high fat-fed male mice but impaired it in male db/db mice. High NogoR levels led to islet cell apoptosis, and IL-18R antagonised inflammatory IL-18 signalling towards nuclear factor kappa-B in vitro. This comprehensive, multi-disciplinary approach thus identifies biomarkers with potential prognostic utility, provides evidence for possible disease mechanisms, and identifies potential therapeutic avenues to slow diabetes progression. | URI: | https://hdl.handle.net/10356/169758 | ISSN: | 2041-1723 | DOI: | 10.1038/s41467-023-38148-7 | Schools: | Lee Kong Chian School of Medicine (LKCMedicine) | Rights: | © The Author(s) 2023. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/ licenses/by/4.0/. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | LKCMedicine Journal Articles |
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