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Alberta Tomassini

Researcher at Sapienza University of Rome

Publications -  35
Citations -  827

Alberta Tomassini is an academic researcher from Sapienza University of Rome. The author has contributed to research in topics: Medicine & Metabolite. The author has an hindex of 14, co-authored 31 publications receiving 630 citations.

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Gut metabolomics profiling of non-small cell lung cancer (NSCLC) patients under immunotherapy treatment.

TL;DR: The preliminary data suggest a significant role of gut microbiota metabolic pathways in affecting response to immunotherapy, and the metabolic approach could be a promising strategy to contribute to the personalized management of cancer patients by the identification of microbiota-linked “indicators” of early progressor and long responder patients.
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Exploring human breast milk composition by NMR-based metabolomics

TL;DR: NMR-based metabolic profiling can provide a rapid characterisation of breast milk composition, thus allowing a better understanding of its nutritional properties, and help to protect newborns against infective agents in the new environment.
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Metabolic profiling by 13C-NMR spectroscopy: [1,2-13C2]glucose reveals a heterogeneous metabolism in human leukemia T cells.

TL;DR: Results revealed a heterogeneous metabolism in an asynchronous cell population that may be interpreted on the basis of different metabolic phenotypes of subpopulations in relation to different cell cycle phases.
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Assessment of Fecal Microbiota and Fecal Metabolome in Symptomatic Uncomplicated Diverticular Disease of the Colon

TL;DR: SUDD and AD do not show colonic bacterial overgrowth, but a significant difference in the levels of fecal A. muciniphila was observed, and increasing expression of some metabolites as expression of different AD and SUDD metabolic activity was found.
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Fecal and urinary NMR-based metabolomics unveil an aging signature in mice

TL;DR: The (1)H NMR-based metabolomic approach was able to characterize the effect of age on urinary and fecal metabotypes of BALB/c mice and may increase the understanding of the metabolic alterations involved in the aging process and assist in the design of anti-aging interventions.