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)

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), 19 Mar 2025, (E-pub ahead of print) In: European Journal of Endocrinology. lvaf052.

Research output: Contribution to journal › Article › peer-review

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2023

Classifying hypertension subtypes using multi-omics: A multi-centre machine learning based retrospective study

Reel, P. S., Reel, S., Cole, C., Zennaro, M. C. & Jefferson, E., 31 Oct 2023. 1 p.

Research output: Contribution to conference › Poster › peer-review

Open Access

FRI135 Differential Expression Of Circulating MicroRNAs In Primary Aldosteronism: Potential Biomarkers For Improved Diagnosis

Lamprou, S., MacKenzie, S. M., McClure, J. D., Robertson, S., Riddell, A., van Kralingen, J. C., Gimenez-Roqueplo, A.-P., Reel, P., Reel, S., Assié, G., Amar, L., Beuschlein, F., Rossi, G. P., Deinum, J., Reincke, M., Eisenhofer, G., Jefferson, E., Zennaro, M. C. & Davies, E., Oct 2023, In: Journal of the Endocrine Society. 7, Suppl 1, p. A350-A351 2 p., bvad114.647.

Research output: Contribution to journal › Meeting abstract › peer-review

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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.

Research output: Contribution to journal › Article › peer-review

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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42 Citations (Scopus)

164 Downloads (Pure)

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.

Research output: Contribution to journal › Article › peer-review

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3 Citations (Scopus)

71 Downloads (Pure)

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.

Research output: Contribution to journal › Article › peer-review

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11 Citations (Scopus)

104 Downloads (Pure)

Whole blood methylome-derived features to discriminate endocrine hypertension

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. & 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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6 Citations (Scopus)

103 Downloads (Pure)

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.

Research output: Contribution to journal › Article › peer-review

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25 Citations (Scopus)

121 Downloads (Pure)

Using machine learning approaches for multi-omics data analysis: A review

Reel, P. S., Reel, S., Pearson, E., Trucco, E. & Jefferson, E. (Lead / Corresponding author), Jul 2021, In: Biotechnology Advances. 49, 24 p., 107739.

Research output: Contribution to journal › Review article › peer-review

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460 Citations (Scopus)

5848 Downloads (Pure)

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.

Research output: Contribution to journal › Article › peer-review

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10 Citations (Scopus)

352 Downloads (Pure)

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)

Research output

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