Omics-Based Strategies for Improved Diagnosis and Treatment of Endocrine Hypertension (ENSAT-HT) (Joint with Inserm, University of Torino, University of Padua, University of Glasgow, University of Birmingham, Radboud University Medical Centre, SleekIT Limited and Inserm Transfert)

  • Connell, John (Investigator)
  • Doney, Alexander (Investigator)
  • Jefferson, Emily (Investigator)
  • Zhou, Kaixin (Investigator)

Project Details

StatusFinished
Effective start/end date1/05/1531/12/21

Funding

  • COMMISSION OF THE EUROPEAN COMMUNITIES (H2020-PHC-2014-2015): £724,921.00

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
  • Analyse du profil de méthylation du sang total pour discriminer l’hypertension endocrine

    Armignacco, R., Reel, P. S., Reel, S., Jouinot, A., Septier, A., Gaspar, C., Perlemoine, K., Larsen, C. K., Bouys, L., Braun, L., Riester, A., Kroiss, M., Bonnet-Serrano, F., Amar, L., Blanchard, A., Gimenez-Roqueplo, A. P., Prejbisz, A., Januszewicz, A., Dobrowolski, P., Rossi, G. P., & 12 othersLenzini, L., Ceccato, F., Scaroni, C., Mulatero, P., Pecori, A., Monticone, S., Beuschlein, F., Reincke, M., Zennaro, M. C., Bertherat, J., Jefferson, E. & Assié, G., 24 Sept 2022, In: Annales d'Endocrinologie. 83, 5, p. 297 1 p.

    Research output: Contribution to journalArticlepeer-review

  • Machine learning for classification of hypertension subtypes using multi-omics: A multi-centre, retrospective, data-driven study

    Reel, P. S., Reel, S., van Kralingen, J. C., Langton, K., Lang, K., Erlic, Z., Larsen, C. K., Amar, L., Pamporaki, C., Mulatero, P., Blanchard, A., Kabat, M., Robertson, S., MacKenzie, S. M., Taylor, A. E., Peitzsch, M., Ceccato, F., Scaroni, C., Reincke, M., Kroiss, M., & 22 othersDennedy, M. C., Pecori, A., Monticone, S., Deinum, J., Rossi, G. P., Lenzini, L., McClure, J. D., Nind, T., Riddell, A., Stell, A., Cole, C., Sudano, I., Prehn, C., Adamski, J., Gimenez-Roqueplo, A. P., Assié, G., Arlt, W., Beuschlein, F., Eisenhofer, G., Davies, E., Zennaro, M. C. & Jefferson, E., Oct 2022, In: EBioMedicine. 84, 16 p., 104276.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    File
    17 Citations (Scopus)
    65 Downloads (Pure)
  • Preanalytical Pitfalls in Untargeted Plasma Nuclear Magnetic Resonance Metabolomics of Endocrine Hypertension

    Bliziotis, N. G., Kluijtmans, L. A. J., Tinnevelt, G. H., Reel, P., Reel, S., Langton, K., Robledo, M., Pamporaki, C., Pecori, A., Van Kralingen, J., Tetti, M., Engelke, U. F. H., Erlic, Z., Engel, J., Deutschbein, T., Nölting, S., Prejbisz, A., Richter, S., Adamski, J., Januszewicz, A., & 18 othersCeccato, F., Scaroni, C., Dennedy, M. C., Williams, T. A., Lenzini, L., Gimenez-Roqueplo, A-P., Davies, E., Fassnacht, M., Remde, H., Eisenhofer, G., Beuschlein, F., Kroiss, M., Jefferson, E., Zennaro, M-C., Wevers, R. A., Jansen, J. J., Deinum, J. & Timmers, H. J. L. M., 24 Jul 2022, In: Metabolites. 12, 8, 21 p., 679.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    File
    2 Citations (Scopus)
    24 Downloads (Pure)