Research Fellow
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AFFILIATION: ADDRESS: CONTACTS: RESEARCH PROFILES: |
| Alessia Vignoli was born in 1988. She graduated with a M.Sc. in Chemical Sciences cum laude (curriculum: Chemistry of Biological Molecules) at the University of Florence in 2014. The same year she won a PhD scholarship for the International Doctorate in Structural Biology at the same University, and she obtained her PhD cum laude in 2017. She has been post-doctoral researcher (2018) under the supervision of Prof. Luchinat and recipient of an AIRC fellowship (2019-2020) at CERM/CIRMMP. Under the guidance of Dr. Leonardo Tenori, she has been post-doctoral fellow (2021-2022) at the Chemistry Department of the University of Florence. In 2023 she joined the faculty at the same Department as research fellow (RTD-A). In 2022 she receives the GIDRM Under 35 award. The same year she has been granted with the Airalzh (Associazione Italiana Ricerca Alzheimer Onlus) Grant for Young Researchers - AGYR 2022. Her scientific interests are focused on the characterization of the chemical composition of complex matrices such as biofluids by means of nuclear magnetic resonance (NMR) spectroscopy, and on the applications of NMR-based metabolomics in medicine for diagnostic and prognostic purposes.
RESEARCH FIELDS: Metabolomics, NMR, Multivariate Statistics, Metabolic Networks.
SELECTED PUBLICATIONS: Vignoli, A.; Fornaro, A.; Tenori, L.; Castelli, G.; Cecconi, E.; Olivotto, I.; Marchionni, N.; Alterini, B.; Luchinat, C. Metabolomics Fingerprint Predicts Risk of Death in Dilated Cardiomyopathy and Heart Failure. Frontiers in Cardiovascular Medicine 2022, 9. https://doi.org/10.3389/fcvm.2022.851905. Di Donato, S.*; Vignoli, A*.; Biagioni, C.; Malorni, L.; Mori, E.; Tenori, L.; Calamai, V.; Parnofiello, A.; Di Pierro, G.; Migliaccio, I.; Cantafio, S.; Baraghini, M.; Mottino, G.; Becheri, D.; Del Monte, F.; Miceli, E.; McCartney, A.; Di Leo, A.; Luchinat, C.; Biganzoli, L. A Serum Metabolomics Classifier Derived from Elderly Patients with Metastatic Colorectal Cancer Predicts Relapse in the Adjuvant Setting. Cancers 2021, 13 (11), 2762. https://doi.org/10.3390/cancers13112762. Vignoli, A.; Paciotti, S.; Tenori, L.; Eusebi, P.; Biscetti, L.; Chiasserini, D.; Scheltens, P.; Turano, P.; Teunissen, C.; Luchinat, C.; Parnetti, L. Fingerprinting Alzheimer’s Disease by 1H Nuclear Magnetic Resonance Spectroscopy of Cerebrospinal Fluid. J. Proteome Res. 2020, 19 (4), 1696–1705. https://doi.org/10.1021/acs.jproteome.9b00850. 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 Med 2019, 17 (1), 3. https://doi.org/10.1186/s12916-018-1240-2. Vignoli, A.; Ghini, V.; Meoni, G.; Licari, C.; Takis, P. G.; Tenori, L.; Turano, P.; Luchinat, C. High‐Throughput Metabolomics by 1D NMR. Angew. Chem. Int. Ed. 2019, 58 (4), 968–994. https://doi.org/10.1002/anie.201804736. McCartney, A.*; Vignoli, A.*; Tenori, L.; Fornier, M.; Rossi, L.; Risi, E.; Luchinat, C.; Biganzoli, L.; Di Leo, A. Metabolomic Analysis of Serum May Refine 21-Gene Expression Assay Risk Recurrence Stratification. npj Breast Cancer 2019, 5 (1), 26. https://doi.org/10.1038/s41523-019-0123-9. Vignoli, A.; Tenori, L.; Luchinat, C.; Saccenti, E. Age and Sex Effects on Plasma Metabolite Association Networks in Healthy Subjects. J. Proteome Res. 2018, 17 (1), 97–107. https://doi.org/10.1021/acs.jproteome.7b00404. Hart, C. D.*; Vignoli, A.*; Tenori, L.; Uy, G. L.; Van To, T.; Adebamowo, C.; Hossain, S. M.; Biganzoli, L.; Risi, E.; Love, R. R.; Luchinat, C.; Di Leo, A. Serum Metabolomic Profiles Identify ER-Positive Early Breast Cancer Patients at Increased Risk of Disease Recurrence in a Multicenter Population. Clin Cancer Res 2017, 23 (6), 1422–1431. https://doi.org/10.1158/1078-0432.CCR-16-1153. |
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