Leonardo Tenori, born in 1977, obtained his master’s degree in chemistry in 2002 at the University of Florence, and the International PhD in Structural Biology in 2008 at the University of Florence. He has been Researcher at the Interuniversitary Consortium for Magnetic Resonance of Metallo Proteins (CIRMMP, University of Florence, Italy), and he joined the faculty at the Department of Chemistry of the University of Florence as RTDb lecturer in September 2020.
Leonardo Tenori is skilled in Nuclear Magnetic Resonance (NMR) spectroscopy and in metabolomics, especially in its applications to biomedicine, pharmacology and agricultural sciences. He investigated several pathological conditions including celiac disease (demonstrating that a metabolic signature of celiac disease exist in the serum and in the urine of patients), breast cancer (showing the possibility to predict disease relapse) and cardiovascular diseases (especially for the use of metabolomics in the early prediction of heart failure). He is also skilled in multivariate statistical analysis and he contributed to the development of a new statistical algorithm for knowledge discovery published in PNAS. In 2015 he was awarded with a Fellowship of the Italian Foundation “Veronesi” for the study of the metabolomic alterations in melanoma patients. He has collaboration with researchers and clinicians at local, national and international level.
Metabolomics, foodomics, multivariate statistics, NMR, metabolic networks.
1) Vignoli, A.; Tenori, L.; Giusti, B.; Takis, P. G.; Valente, S.; Carrabba, N.; Balzi, D.; Barchielli, A.; Marchionni, N.; Gensini, G. F.; Marcucci, R.; Luchinat, C.; Gori, A. M. NMR-Based Metabolomics Identifies Patients at High Risk of Death within Two Years after Acute Myocardial Infarction in the AMI-Florence II Cohort. BMC Medicine 2019, 17 (1). https://doi.org/10.1186/s12916-018-1240-2.
2) Tenori, L.; Oakman, C.; Morris, P. G.; Gralka, E.; Turner, N.; Cappadona, S.; Fornier, M.; Hudis, C.; Norton, L.; Luchinat, C.; Di Leo, A. Serum Metabolomic Profiles Evaluated after Surgery May Identify Patients with Oestrogen Receptor Negative Early Breast Cancer at Increased Risk of Disease Recurrence. Results from a Retrospective Study. Molecular Oncology 2015, 9 (1), 128–139. https://doi.org/10.1016/j.molonc.2014.07.012.
3) Bernini, P.; Bertini, I.; Luchinat, C.; Nepi, S.; Saccenti, E.; Schäfer, H.; Schütz, B.; Spraul, M.; Tenori, L. Individual Human Phenotypes in Metabolic Space and Time. Journal of Proteome Research 2009, 8 (9), 4264–4271. https://doi.org/10.1021/pr900344m.
4) Cacciatore, S.; Luchinat, C.; Tenori, L. Knowledge Discovery by Accuracy Maximization. Proceedings of the National Academy of Sciences of the United States of America 2014, 111 (14), 5117–5122. https://doi.org/10.1073/pnas.1220873111.
5) Tenori, L.; Hu, X.; Pantaleo, P.; Alterini, B.; Castelli, G.; Olivotto, I.; Bertini, I.; Luchinat, C.; Gensini, G. F. Metabolomic Fingerprint of Heart Failure in Humans: A Nuclear Magnetic Resonance Spectroscopy Analysis. International Journal of Cardiology 2013, 168 (4), e113–e115. https://doi.org/10.1016/j.ijcard.2013.08.042.
6) Tenori, L.; Oakman, C.; Claudino, W. M.; Bernini, P.; Cappadona, S.; Nepi, S.; Biganzoli, L.; Arbushites, M. C.; Luchinat, C.; Bertini, I.; Di Leo, A. Exploration of Serum Metabolomic Profiles and Outcomes in Women with Metastatic Breast Cancer: A Pilot Study. Molecular Oncology 2012, 6 (4), 437–444. https://doi.org/10.1016/j.molonc.2012.05.003.
7) Aimetti, M.; Cacciatore, S.; Graziano, A.; Tenori, L. Metabonomic Analysis of Saliva Reveals Generalized Chronic Periodontitis Signature. Metabolomics 2012, 8 (3), 465–474. https://doi.org/10.1007/s11306-011-0331-2.
8) Oakman, C.; Tenori, L.; Claudino, W. M.; Cappadona, S.; Nepi, S.; Battaglia, A.; Bernini, P.; Zafarana, E.; Saccenti, E.; Fornier, M.; Morris, P. G.; Biganzoli, L.; Luchinat, C.; Bertini, I.; Di Leo, A. Identification of a Serum-Detectable Metabolomic Fingerprint Potentially Correlated with the Presence of Micrometastatic Disease in Early Breast Cancer Patients at Varying Risks of Disease Relapse by Traditional Prognostic Methods. Annals of Oncology 2011, 22 (6), 1295–1301. https://doi.org/10.1093/annonc/mdq606.
9) Bertini, I.; Calabró, A.; De Carli, V.; Luchinat, C.; Nepi, S.; Porfirio, B.; Renzi, D.; Saccenti, E.; Tenori, L. The Metabonomic Signature of Celiac Disease. Journal of Proteome Research 2009, 8 (1), 170–177. https://doi.org/10.1021/pr800548z.