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A computationally driven analysis of the polyphenol-protein interactome.

Sébastien Lacroix1,2, Jasna Klicic Badoux3, Marie-Pier Scott-Boyer1,4

  • 1The Microsoft Research - University of Trento Centre for Computational and Systems Biology (COSBI), Rovereto (TN), Italy.

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Polyphenols from foods impact health by interacting with numerous proteins, influencing metabolism and preventing cardiometabolic diseases. This study maps these interactions, revealing broad biological effects.

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Area of Science:

  • Nutritional biochemistry
  • Systems biology
  • Pharmacology

Background:

  • Polyphenol-rich foods are key in nutritional strategies against cardiometabolic diseases (CMDs).
  • Polyphenols exert oxidative, inflammatory, and metabolic effects.
  • Limited understanding exists regarding polyphenol molecular interactions with proteins.

Purpose of the Study:

  • To identify proteins interacting with or metabolizing polyphenols.
  • To map these proteins to biological pathways and networks.
  • To annotate functions within the polyphenol-protein interactome.

Main Methods:

  • Mining public databases (Phenol-Explorer, Dictionary of Natural Products, STITCH, Pathway Commons, BindingDB, KEGG).
  • Retrieving 1,395 polyphenols and metabolites.
  • Analyzing 11,987 interactions between 369 polyphenols and 5,699 proteins.

Main Results:

  • A comprehensive polyphenol-protein interactome was constructed.
  • Pathway enrichment analysis revealed broad, non-specific pathway coverage.
  • Polyphenols demonstrated pleiotropic effects across metabolic and CMD-related processes.

Conclusions:

  • This study provides a knowledgebase of polyphenol-protein interactions.
  • Identifies polyphenol classes and foods influencing metabolism.
  • Highlights the systems-wide impact of polyphenols on health and disease.