Systematic analysis of nutrigenomic effects of polyphenols related to cardiometabolic health in humans-evidence from untargeted mRNA and miRNA studies

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F22%3A92209" target="_blank" >RIV/60460709:41210/22:92209 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S1568163722000915#keys0005" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1568163722000915#keys0005</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.arr.2022.101649" target="_blank" >10.1016/j.arr.2022.101649</a>

Result language
angličtina
Original language name
Systematic analysis of nutrigenomic effects of polyphenols related to cardiometabolic health in humans-evidence from untargeted mRNA and miRNA studies
Original language description
Cardiovascular and metabolic disorders present major causes of mortality in the ageing population. Polyphenols present in human diets possess cardiometabolic protective properties, however their underlying molecular mechanisms in humans are still not well identified. Even though preclinical and in vitro studies advocate that these bioactives can modulate gene expression, most studies were performed using targeted approaches. With the objective to decipher the molecular mechanisms underlying polyphenols cardiometabolic preventive properties in humans, we performed integrative multi-omic bioinformatic analyses of published studies which reported improvements of cardiometabolic risk factors following polyphenol intake, together with genomic analyses performed using untargeted approach. We identified 5 studies within our criteria and nearly 5000 differentially expressed genes, both mRNAs and miRNAs, in peripheral blood cells. Integrative bioinformatic analyses (e.g. pathway and gene network analyses, ide
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10601 - Cell biology

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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