Search Results - "Tenori, L."

Effectiveness of mid-infrared spectroscopy for the prediction of cow milk metabolites by Franzoi, M., Niero, G., Meoni, G., Tenori, L., Luchinat, C., Penasa, M., Cassandro, M., De Marchi, M.

“…Proton nuclear magnetic resonance (1H NMR) spectroscopy is acknowledged as one of the most powerful analytical methods with cross-cutting applications in dairy…”
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Nuclear magnetic resonance spectroscopy to investigate the association between milk metabolites and udder quarter health status in dairy cows by Bobbo, T., Meoni, G., Niero, G., Tenori, L., Luchinat, C., Cassandro, M., Penasa, M.

“…Nuclear magnetic resonance spectroscopy was applied to investigate the association between milk metabolome and udder quarter health status in dairy cows…”
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Grazing affects metabolic pattern of individual cow milk by Niero, G., Meoni, G., Tenori, L., Luchinat, C., Visentin, G., Callegaro, S., Visentin, E., Cassandro, M., De Marchi, M., Penasa, M.

“…Effective traceability tools able to characterize milk from pasture are important to safeguard low-input farming systems, niche dairy products, and local…”
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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 by 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.

“…Prognostic tools in early breast cancer are inadequate. The evolving field of metabolomics may allow more accurate identification of patients with residual…”
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Metabolomics by Nuclear Magnetic Resonance identifies patients with high risk of death within two years after a cardiovascular event: The case of the amiflorence II study by Tenori, L, Giusti, B, Vignoli, A, Gori, A.M, Luchinat, C, Grifoni, E, Barchielli, A, Balzi, D, Marchionni, N, Marcucci, R

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Allostasis and Resilience of the Human Individual Metabolic Phenotype by Ghini, Veronica, Saccenti, Edoardo, Tenori, Leonardo, Assfalg, Michael, Luchinat, Claudio

“…The urine metabotype of 12 individuals was followed over a period of 8–10 years, which provided the longest longitudinal study of metabolic phenotypes to date…”
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Effects of pre-processing cooling treatments of harvested olives on oil volatilome and quality parameters by Vendrell Calatayud, M., Brizzolara, S., Meoni, G., Tenori, L., Luchinat, C., Tonutti, P.

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148P Serum metabolomics based risk assessment of disease recurrence in elderly patients with early breast cancer (eBC) by Risi, E., Vignoli, A., Lisanti, C., Biagioni, C., Paderi, A., Cappadona Sciammetta, S., Del Monte, F., Moretti, E., Sanna, G., Livraghi, L., Malorni, L., Benelli, M., Puglisi, F., Luchinat, C., Tenori, L., Biganzoli, L.

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Probabilistic Networks of Blood Metabolites in Healthy Subjects As Indicators of Latent Cardiovascular Risk by Saccenti, Edoardo, Suarez-Diez, Maria, Luchinat, Claudio, Santucci, Claudio, Tenori, Leonardo

“…The complex nature of the mechanisms behind cardiovascular diseases prevents the detection of latent early risk conditions. Network representations are ideally…”
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Metabolomic analysis as a tool to identify breast cancer (BC) cell lines resistant to palbociclib (PD) by Bonechi, M., Guarducci, C., Meoni, G., Tenori, L., Biagioni, C., Schiff, R., Osborne, C.K., Luchinat, C., Malorni, L., Migliaccio, I.

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A metabolomic recurrence score for risk-stratification of elderly patients (pts) with early colorectal cancer (eCRC) by Donato, S Di, Vignoli, A., Mori, E., Tenori, L., Malorni, L., Cantafio, S., Mottino, G., Becheri, D., Mccartney, A., Biagioni, C., De Monte, F.l., Leo, A Di, Luchinat, C., Biganzoli, L.

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574PA metabolomic recurrence score for risk-stratification of elderly patients (pts) with early colorectal cancer (eCRC) by Donato, S Di, Vignoli, A, Mori, E, Tenori, L, Malorni, L, Cantafio, S, Mottino, G, Becheri, D, Mccartney, A, Biagioni, C, Monte, F Del, Leo, A Di, Luchinat, C, Biganzoli, L

“…Abstract Background Adjuvant treatment decisions for pts with eCRC are currently based on suboptimal risk stratification factors, especially for elderly pts…”
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574P - A metabolomic recurrence score for risk-stratification of elderly patients (pts) with early colorectal cancer (eCRC) by Donato, S Di, Vignoli, A., Mori, E., Tenori, L., Malorni, L., Cantafio, S., Mottino, G., Becheri, D., Mccartney, A., Biagioni, C., De Monte, F.l., Leo, A Di, Luchinat, C., Biganzoli, L.

“…Adjuvant treatment decisions for pts with eCRC are currently based on suboptimal risk stratification factors, especially for elderly pts. Metabolomics measures…”
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P3645Metabolomics by nuclear magnetic resonance identifies patients at high risk of death within two years after acute coronary syndrome by Grifoni, E., Vignoli, A., Tenori, L., Giusti, B., Takis, P.G., Valente, S., Carrabba, N., Balzi, D., Barchielli, A.M., Marchionni, N., Gensini, G.F., Marcucci, R., Luchinat, C., Gori, A.M.

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Abstract P6-02-07: Metabolomic analysis by nuclear magnetic resonance spectroscopy discriminates hormone receptor positive/HER2 negative breast cancer cell lines resistant to palbociclib by Bonechi, M, Guarducci, C, Meoni, G, Tenori, L, Biagioni, C, Schiff, R, Osborne, CK, Luchinat, C, Di Leo, A, Malorni, L, Migliaccio, I

“…Abstract Introduction: Clinical trials of palbociclib in combination with endocrine therapy have recently shown unprecedented activity for the treatment of…”
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Risk assessment of Disease Recurrence (DR) through serum metabolomics analysis in elderly patients (pts) with early breast cancer (eBC) by Lisanti, C., Risi, E., Vignoli, A., Becheri, D., Biagioni, C., Paderi, A., Cappadona, S., Del Monte, F., Moretti, E., Sanna, G., Livraghi, L., Malorni, L., Benelli, M., Puglisi, F., Mottino, G., Luchinat, C., Tenori, L., Biganzoli, L.

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SIOG2022-0056 - Risk assessment of Disease Recurrence (DR) through serum metabolomics analysis in elderly patients (pts) with early breast cancer (eBC) by Lisanti, C., Risi, E., Vignoli, A., Becheri, D., Biagioni, C., Paderi, A., Cappadona, S., Del Monte, F., Moretti, E., Sanna, G., Livraghi, L., Malorni, L., Benelli, M., Puglisi, F., Mottino, G., Luchinat, C., Tenori, L., Biganzoli, L.

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Serum metabolomic profiles identify ER-positive early breast cancer patients at increased risk of disease recurrence in a multicentre population by Hart, C.D., Vignoli, A., Tenori, L., Biganzoli, L., Risi, E., Love, R.R., Luchinat, C., Di Leo, A.

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Of monkeys and men: a metabolomic analysis of static and dynamic urinary metabolic phenotypes in two species by Saccenti, Edoardo, Tenori, Leonardo, Verbruggen, Paul, Timmerman, Marieke E, Bouwman, Jildau, van der Greef, Jan, Luchinat, Claudio, Smilde, Age K

“…Metabolomics has attracted the interest of the medical community for its potential in predicting early derangements from a healthy to a diseased metabolic…”
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Serum metabolomic as biomarkers to differentiate early from metastatic disease in elderly colorectal cancer (crc) patients by Di Donato, S., Mislang, A.R., Vignoli, A., Mori, E., Vitale, S., Biagioni, C., Hart, C., Becheri, D., Del Monte, F., Luchinat, C., Di Leo, A., Mottino, G., Tenori, L., Biganzoli, L.

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