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Tecnologías ómicas, alimentos y salud: Alimentómica

Authors: Cifuentes, Alejandro;

Tecnologías ómicas, alimentos y salud: Alimentómica

Abstract

In this lecture, we will present the principles and applications of Foodomics including an overview of different works carried out in our laboratory following this modern strategy. The works include results on Foodomics in Alzheimer’s disease studies, the use of Foodomics for analyzing transgenic foods, Foodomics characterization of new bioactive compounds from natural sources, and Foodomics investigations of the anti-proliferative effect of natural polyphenols against different human cancer cell lines. Whole-transcriptome microarray, proteomics and MS-based profiling and non-targeted metabolome approaches were employed to carry out the mentioned studies. These Foodomics strategies enabled: i) the identification of biomarkers for early detection of Alzheimer’s disease which should allow to investigate the effect of natural compounds on this illness, ii) the investigation of the substantial equivalence of transgenic foods with their natural counterparts, iii) the characterization of new bioactive compounds and iv) the identification of several differentially expressed genes alone and/or linked to changed metabolic pathways that were modulated by natural polyphenols in cancer cells, providing new evidences at molecular level on the antiproliferative effect of natural compounds that are part of our diet. These works demonstrate the wide spectrum of possibilities and challenges that can be faced via Foodomics in the current postgenomic era.

Resumen del trabajo presentado al XXVIII Congreso Peruano de Química: Gastón Pons Muzzo, celebrado en la Universidad Nacional Mayor de San Marcos (UNMSM) de Lima (Perú) del 29 al 31 de marzo de 2017.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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