A NARRATIVE REVIEW: IMPACT OF DIETARY POLYPHENOLS ON METABOLIC SYNDROME MANAGEMENT

Julia Kuszneruk; Katarzyna Krzemińska; Maria Kubas; Julia Czerwik; Patrycja Felisiak

doi:10.31435/ijitss.3(47).2025.3689

Authors

Julia Kuszneruk Medical University of Lublin, Poland https://orcid.org/0009-0001-5508-5027
Katarzyna Krzemińska Medical University of Lublin, Poland https://orcid.org/0009-0004-4988-7295
Maria Kubas Medical University of Lublin, Poland https://orcid.org/0009-0005-1306-9132
Julia Czerwik Medical University of Lublin, Poland https://orcid.org/0000-0001-7241-194X
Patrycja Felisiak Medical University of Lublin, Poland https://orcid.org/0009-0004-4968-0331

DOI:

https://doi.org/10.31435/ijitss.3(47).2025.3689

Keywords:

Polyphenols, Metabolic Syndrome, Visceral Adipose Tissue, Central Obesity, Insulin Resistance, Hypertension, Atherogenic Dyslipidemia

Abstract

Introduction and purposes: Metabolic syndrome includes central obesity, insulin resistance, dyslipidemia, and hypertension. Studies have explored polyphenols for their potential to prevent or manage these issues through antioxidant and metabolic effects.

Materials and Methods: A comprehensive literature review was carried out utilizing PubMed and Google Scholar. The search incorporated keywords such as 'polyphenols', 'metabolic syndrome', 'visceral adipose tissue', 'insulin resistance', 'hypertension', 'atherogenic dyslipidemia'. The search included articles published from 2020 to 2025.

Results: Although many studies suggest that polyphenols may help to manage central obesity, the effects of polyphenols on carbohydrate metabolism, blood pressure and lipid profiles are inconsistent and inconclusive. These conflicting results are probably due to small sample sizes and a lack of robust, high-quality human clinical trials.

Conclusion: The review indicates a potential connection between dietary polyphenols and the individual elements of MetS, highlighting the need for further investigation in this area. Overall, due to the variability in study design and sample size, conclusions should be interpreted with careful consideration.

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