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. 2024 Aug 28;14(9):473.
doi: 10.3390/metabo14090473.

Iron Homeostasis-Related Parameters and Hepcidin/Ferritin Ratio: Emerging Sex-Specific Predictive Markers for Metabolic Syndrome

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Iron Homeostasis-Related Parameters and Hepcidin/Ferritin Ratio: Emerging Sex-Specific Predictive Markers for Metabolic Syndrome

Baraah T Abu AlSel et al. Metabolites. .

Abstract

Metabolic syndrome (MetS) is a worldwide public health challenge. Accumulating evidence implicates elevated serum ferritin and disruptions in iron metabolism as potential elements linked to an increased risk of MetS. This study investigates the relationship between iron homeostasis-including hepcidin levels, serum iron concentration, unsaturated iron-binding capacity (UIBC), and the hepcidin/ferritin (H/F) ratio-and MetS. In this descriptive cross-sectional study, 209 participants aged 24-70 were categorized into two groups: 103 with MetS and 106 without MetS. All participants underwent medical assessment, including anthropometric measures, indices of glycemic control, lipid profiles, and iron-related parameters. Participants were further stratified by the Homeostasis Model Assessment-Insulin Resistance index into three subgroups: insulin-sensitive (IS) (<1.9), early insulin resistance (EIR) (>1.9 to <2.9), and significant insulin resistance (SIR) (>2.9). Notable increments in serum ferritin and hepcidin were observed in the SIR group relative to the IS and EIR groups, with a significant association between metabolic parameters. The UIBC and serum ferritin emerged as significant predictors of MetS, particularly in men, with an area under the curve (AUC) of 0.753 and 0.792, respectively (p ≤ 0.001). In contrast, hepcidin was notably correlated with MetS in women, with an AUC of 0.655 (p = 0.007). The H/F ratio showed superior predictive capability for MetS across both sexes (at cutoff level = 0.67). Among women, this ratio had an AUC of 0.639 (p = 0.015), and for men, it had an AUC of 0.792 (p < 0.001). Hypertension proved an independent risk factor for MetS, affirming its role in metabolic dysregulation. The findings highlight a significant interconnection between iron homeostasis parameters and MetS, with sex-specific variations underscoring the importance of personalized diagnostic criteria. The crucial role of the H/F ratio and the UIBC as emerging predictive markers for MetS indicates their potential utility in identifying at-risk individuals. Further longitudinal research is essential to establish causality and explore the interplay between these biomarkers and MetS.

Keywords: HOMA-IR; ferritin; hepcidin; insulin resistance; insulin-sensitive; metabolic syndrome.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
Receiver operating characteristics (ROC) curve for iron-related parameters predicting metabolic syndrome.

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References

    1. Mohamed S.M., Shalaby M.A., El-Shiekh R.A., El-Banna H.A., Emam S.R., Bakr A.F. Metabolic syndrome: Risk factors, diagnosis, pathogenesis, and management with natural approaches. Food Chem. Adv. 2023;3:100335. doi: 10.1016/j.focha.2023.100335. - DOI
    1. Aljuhani O., Alkahtani S., Alhussain M., Smith L., Habib S.S. Associations of Physical Activity and Sedentary Time with Metabolic Syndrome in Saudi Adult Males. Risk Manag. Healthc. Policy. 2020;13:1839–1847. doi: 10.2147/RMHP.S267575. - DOI - PMC - PubMed
    1. Wu S., Xu W., Guan C., Lv M., Jiang S., Jinhua Z. Global burden of cardiovascular disease attributable to metabolic risk factors, 1990-2019: An analysis of observational data from a 2019 Global Burden of Disease study. BMJ Open. 2023;13:e069397. doi: 10.1136/bmjopen-2022-069397. - DOI - PMC - PubMed
    1. Gosadi I.M. Assessment of the environmental and genetic factors influencing prevalence of metabolic syndrome in Saudi Arabia. Saudi Med. J. 2016;37:12–20. doi: 10.15537/smj.2016.1.12675. - DOI - PMC - PubMed
    1. Fahed G., Aoun L., Bou Zerdan M., Allam S., Bou Zerdan M., Bouferraa Y., Assi H.I. Metabolic Syndrome: Updates on Pathophysiology and Management in 2021. Int. J. Mol. Sci. 2022;23:786. doi: 10.3390/ijms23020786. - DOI - PMC - PubMed

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