The Role and Therapeutic Significance of Quercetin as a Potential Natural Active Ingredient in Metabolic Dysfunction-Associated Fatty Liver Disease
Abstract
Background: : /Objectives: Metabolic dysfunction-associated fatty liver disease (MASLD) is a metabolic disorder with an increasing incidence, for which pharmacotherapy is still very limited. One of the pharmacotherapeutic approaches for MASLD is to prevent oxidative stress processes, in which polyphenolic flavonoids, including quercetin, may play an extremely important role. Quercetin has been reported in several publications to have a potential hepatoprotective effect, but despite numerous research results, it has not lived up to the expectations placed on it so far. This study provides a comprehensive overview of the effects of quercetin on MASLD, including its role in autophagy during disease progression.
Methods:: This review describes the etiopathogenesis of MASLD and provides a comprehensive overview of the main physiological and pharmacological effects of quercetin, as well as its potential clinical applications.
Conclusions:: The effects of quercetin and commonly used biopharmaceuticals in folk medicine for the treatment of MASLD still do not show clear results. The extremely positive effects obtained in in vitro studies cannot be replicated or can only be replicated in a very limited form in pre- and clinical studies. Further research is needed to resolve this dilemma.
Read the paper
Related studies
- Quercetin Influences Quorum Sensing in Food Borne Bacteria: In-Vitro and In-Silico Evidence
- Phenolic-protein interactions: insight from in-silico analyses – a review
- In Silico Discovery of Candidate Drugs against Covid-19
- Neuropharmacological Effects of Quercetin: A Literature-Based Review
- In vitro and in silico anti-dengue activity of compounds obtained from Psidium guajava through bioprospecting
- Effect of Quercetin Rich Onion Extracts on Bacterial Quorum Sensing
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.