Startseite Study on the molecular aspect of cardioprotective effects of selenium: a mini-review
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Study on the molecular aspect of cardioprotective effects of selenium: a mini-review

  • Neda Roshanravan EMAIL logo , Samad Ghaffari , Majid Mosharkesh , Rezayat Parvizi , Shamsi Ghaffari , Erfan Mosharkesh und Ahmad Separham EMAIL logo
Veröffentlicht/Copyright: 1. August 2025

Abstract

Selenium (Se) is an essential micronutrient with multiple and complex effects on human health, including potent antioxidant, anti-inflammatory, and antiviral properties. Cardiovascular disease (CVD) and its most severe complications are the leading causes of mortality and disability worldwide. Considering the fact that oxidative stress and inflammation are central to CVDs, this review focuses on different cardioprotective characteristics of Se with a special focus on molecular mechanisms. In this review, several databases, websites, and search engines, including Medline, PubMed, Scopus, ScienceDirect, and Google Scholar, were searched using MeSH keywords of Se, Se compounds, CVD, oxidative stress, inflammation, coronary artery disease, and signaling pathway. The present study thoroughly explains the molecular pathways by which Se carries out its function to decrease cardiovascular and related diseases.


Corresponding authors: Neda Roshanravan, PhD, Associate Professor of Nutrition, Cardiovascular Research Center, Tabriz University of Medical Sciences, Tabriz, Iran, E-mail: ; and Ahmad Separham, Professor of Interventional Cardiology, Cardiovascular Research Center, Tabriz University of Medical Sciences, Tabriz, Iran, E-mail:

Acknowledgments

The authors would like to thank the Cardiovascular Research Center of Tabriz University of Medical Sciences.

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: Methodology: EM and RP. Investigation: NR and MM. Data Curation: NR and AS. Writing—Original Draft Preparation: NR. Supervision: NR and AS. Revision: ShG and SG. All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Competing interests: The authors declared that there is no conflict of interest.

  6. Research funding: This research did not receive any specific grant from the funding agencies in the public, commercial, or not-for-profit sectors.

  7. Data availability: In this review, data availability is not applicable.

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Received: 2024-07-23
Accepted: 2025-07-21
Published Online: 2025-08-01

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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