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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)

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  • 2025

    Identification of hypertension subtypes using microRNA profiles and machine learning

    Reel, S., Reel, P. S., Van Kralingen, J., Larsen, C. K., Robertson, S., MacKenzie, S. M., Riddell, A., McClure, J. D., Lamprou, S., Connell, J. M. C., Amar, L., Pecori, A., Tetti, M., Pamporaki, C., Kabat, M., Ceccato, F., Kroiss, M., Dennedy, M. C., Stell, A. & Deinum, J. & 11 others, Mulatero, P., Reincke, M., Gimenez-Roqueplo, A.-P., Assié, G., Blanchard, A., Beuschlein, F., Rossi, G.-P., Eisenhofer, G., Zennaro, M. C., Jefferson, E. & Davies, E. (Lead / Corresponding author), Mar 2025, In: European Journal of Endocrinology. 192, 4, p. 418-428 11 p., lvaf052.

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  • 2022

    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 others, Lenzini, 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.

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

    Reel, P. S. (Lead / Corresponding author), 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 others, Dennedy, 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. (Lead / Corresponding author), Oct 2022, In: EBioMedicine. 84, 16 p., 104276.

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  • Preanalytical Pitfalls in Untargeted Plasma Nuclear Magnetic Resonance Metabolomics of Endocrine Hypertension

    Bliziotis, N. G. (Lead / Corresponding author), Kluijtmans, L. A. J. (Lead / Corresponding author), 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 others, Ceccato, 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. (Lead / Corresponding author), Jansen, J. J., Deinum, J. & Timmers, H. J. L. M. (Lead / Corresponding author), 24 Jul 2022, In: Metabolites. 12, 8, 21 p., 679.

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  • Predicting Hypertension Subtypes with Machine Learning Using Targeted Metabolites and Their Ratios

    Reel, S. (Lead / Corresponding author), Reel, P. S., Erlic, Z., Amar, L., Pecori, A., Larsen, C. K., Tetti, M., Pamporaki, C., Prehn, C., Adamski, J., Dennedy, M. C., Deinum, J., Eisenhofer, G., Langton, K., Mulatero, P., Reincke, M., Rossi, G. P., Lenzini, L., Davies, E. & Zennaro, M. C. & 2 others, Beuschlein, F. & Jefferson, E. (Lead / Corresponding author), 16 Aug 2022, In: Metabolites. 12, 8, 20 p., 755.

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  • Whole blood methylome-derived features to discriminate endocrine hypertension

    Armignacco, R. (Lead / Corresponding author), 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. & Davies, E. & 15 others, MacKenzie, S. M., Rossi, G. P., Lenzini, L., Ceccato, F., Scaroni, C., Mulatero, P., Williams, T. A., Pecori, A., Monticone, S., Beuschlein, F., Reincke, M., Zennaro, M.-C., Bertherat, J., Jefferson, E. & Assié, G. (Lead / Corresponding author), 3 Nov 2022, In: Clinical Epigenetics. 14, 1, 11 p., 142.

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  • 2021

    Targeted metabolomics as a tool in discriminating endocrine from primary hypertension

    Erlic, Z., Reel, P., Reel, S., Amar, L., Pecori, A., Larsen, C. K., Tetti, M., Pamporaki, C., Prehn, C., Adamski, J., Prejbisz, A., Ceccato, F., Scaroni, C., Kroiss, M., Dennedy, M. C., Deinum, J., Langton, K., Mulatero, P., Reincke, M. & Lenzini, L. & 6 others, Gimenez-Roqueplo, A.-P., Assié, G., Blanchard, A., Zennaro, M. C., Jefferson, E. & Beuschlein, F. (Lead / Corresponding author), Apr 2021, In: Journal of Clinical Endocrinology and Metabolism. 106, 4, p. 1111-1128 18 p.

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  • 2018

    The Research Data Management Platform (RDMP): A novel, process driven, open-source tool for the management of longitudinal cohorts of clinical data

    Nind, T., Galloway, J., McAllister, G., Scobbie, D., Bonney, W., Hall, C., Tramma, L., Reel, P., Groves, M., Appleby, P., Doney, A., Guthrie, B. & Jefferson, E. (Lead / Corresponding author), 22 May 2018, In: Giga Science. 7, 7, 12 p., giy060.

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