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Natural modulators of nonalcoholic fatty liver disease: Mode of action analysis and in silico ADME-Tox prediction. | LitMetric

AI Article Synopsis

  • Nonalcoholic fatty liver disease (NAFLD) is a widespread chronic liver condition, and this study focuses on identifying natural compounds that can help alleviate it.
  • Researchers analyzed 26 naturally-derived compounds for their modes of action (MoAs) and identified 12 with strong experimental support, while also assessing their safety and potential as drug candidates through ADME-Tox properties.
  • The study underscores the importance of using a combined MoA/in silico approach to optimize these compounds for therapeutic use, suggesting that this method could be applied to other naturally-derived substances with various biological activities.

Article Abstract

Nonalcoholic fatty liver disease (NAFLD) is considered to be the most common chronic liver disease. The discovery of natural product-based NAFLD modulators requires a more comprehensive study of their modes of action (MoAs). In this study we analysed available in the literature data for 26 naturally-derived compounds associated with experimental evidence for NAFLD alleviation and outlined potential biomolecular targets and a network of pharmacological MoAs for 12 compounds with the highest number of experimentally supported MoA key events, modulated by them. Despite the general perception that the therapeutic agents of natural origin are safe, an evaluation of ADME-Tox properties of these compounds has also been performed in order to estimate their suitability as drug candidates. We evaluated how the investigated structures fit to Lipinski's "Rule of five" and predicted their potential Phase I biotransformation pathways and toxicological effects using the ACD/Percepta platform, and the Meteor Nexus and Derek Nexus knowledge-based systems. Our results revealed the potential of the studied compounds as lead structures and outlined those of them that needed further optimisation of their pharmacokinetic profiles. The presented combined MoA/in silico approach could be extrapolated to naturally-derived and pathology-relevant lead structures with other biological activities. It could direct their optimisation by a mechanistically justified in silico evaluation.

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Source
http://dx.doi.org/10.1016/j.taap.2017.10.013DOI Listing

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