Iron metabolism and incidence of metabolic syndrome

Kilani, N.; Vollenweider, Péter; Waeber, Gérard; Marques‐Vidal, Pedro

doi:10.1016/j.numecd.2015.07.005

Cited by 19 publications

(15 citation statements)

References 25 publications

(47 reference statements)

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“…In accordance, 2 studies have shown transferrin to be associated with higher fasting insulin and 2‐h glucose concentrations but not with fasting glucose concentrations, similar to our study. Further, in our study, transferrin showed borderline positive associations with IGM and MetS, but not with T2DM, although positive associations have been reported elsewhere 5,16,23,37 . Despite its inverse correlation with ferritin, positive associations of transferrin with metabolic outcomes probably suggest iron‐independent pathways 5 .…”

Section: Discussioncontrasting

confidence: 58%

“…Additional investigations of transferrin may help to further understand the role of iron in the pathogenesis of metabolic disorders. However, studies investigating the relation between transferrin and IGM, T2DM or MetS, in addition to ferritin are sparse 5,8,15,16 . Hence, there is only weak and inconsistent evidence to support this hypothesis.…”

Section: Introductionmentioning

confidence: 99%

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Hepatic steatosis and hepatic iron overload modify the association of iron markers with glucose metabolism disorders and metabolic syndrome

Pitchika

Kühn

Schipf

et al. 2021

Liver International

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Background Iron status has been linked with impaired glucose metabolism (IGM), type 2 diabetes mellitus (T2DM) and the metabolic syndrome (MetS), but the role of hepatic steatosis or iron overload on these associations remains uncertain. Methods We analysed data from 2310 participants without known T2DM of the population‐based Study of Health in Pomerania (SHIP‐TREND, Germany) through logistic regression models. We tested additive and multiplicative interactions between ferritin and hepatic steatosis or iron overload. Results Serum ferritin was positively associated with IGM (OR per 100 µg/L: 1.11 [1.01, 1.23]), T2DM (OR per 100 µg/L: 1.20 [1.06, 1.36]) and MetS (OR per 100 µg/L: 1.11 [1.02, 1.20]) in the total population as well as in participants without hepatic iron overload. However, the synergistic effect of higher ferritin concentrations and hepatic iron overload showed stronger associations with IGM and T2DM. Similarly, while ferritin was positively associated with T2DM and MetS even in the absence of hepatic steatosis, the synergistic effect of higher ferritin concentrations and hepatic steatosis showed stronger associations with IGM, T2DM and MetS. Transferrin was associated with isolated impaired glucose tolerance but not with T2DM and MetS. Conclusions Our study suggests that ferritin may be associated with glucose metabolism disorders and MetS even in people without hepatic steatosis or iron overload. However, in individuals with higher ferritin concentrations, the presence of hepatic steatosis may indicate stronger risk for glucose metabolism disorders and MetS, while the presence of hepatic iron overload may indicate stronger risk only for glucose metabolism disorders.

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Section: Discussioncontrasting

confidence: 58%

Section: Introductionmentioning

confidence: 99%

Hepatic steatosis and hepatic iron overload modify the association of iron markers with glucose metabolism disorders and metabolic syndrome

Pitchika

Kühn

Schipf

et al. 2021

Liver International

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“…A study of Korean adolescents also found that serum ferritin levels ((the concentration of ferritin in the study was 42.7 (40.7,44.9) µg/L) were negatively associated with HDL-C values, even after adjusting for all covariates [41]. One possible reason is that, unlike other reports [17,42,43], the distribution of iron storage indicators in these studies is within the normal range. The definition of iron surplus of TBI is beyond zero [29].…”

Section: Discussionmentioning

confidence: 50%

Association of Iron Storage Markers with Metabolic Syndrome and Its Components in Chinese Rural 6–12 Years Old Children: The 2010–2012 China National Nutrition and Health Survey

Zhang

Wang

et al. 2020

Nutrients

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Background: Elevated ferritin, which is often used to represent iron storage, is known to increase the risk of metabolic syndrome (MetS) or its components, but its increase is affected by many factors. Therefore, it is necessary to analyze the relationship between other indicators of iron storage, and MetS and its components in order to fully understand the role of iron in the occurrence and development of these diseases. Although there are many studies to analyze the relationship involved in adults and adolescents, in children there is limited research. In this study, we aim to estimate the association of whole blood iron, ferritin, and total body iron with metabolic syndrome, and especially its components in Chinese rural children aged 6–12 years old. Method: A total of 1333 children aged 6–12 years old were enrolled from the 2010–2012 China National Nutrition and Health Survey in this study. Markers of iron storage (whole blood iron, ferritin, and total body iron (TBI)) and MetS component parameters (waist, blood pressure, high-density lipoprotein cholesterol (HDL-C), triglyceride (TG), and fast glycose) were collected. A multivariate logistic regression analysis was performed to confirm the independent relationship between iron storage markers, and the incident of metabolic syndrome and its components. Results: After adjusting for age, gender, C-reactive protein (CRP), and body mass index (BMI), a negative association was found between whole blood iron, ferritin, and TBI and incidence of reduced HDL-C (odds ratio (OR) = 0.63, 0.49, and 0.57, respectively). The highest tertile of whole blood iron increased the risk of the incidence of hyperglycemia (OR = 1.74), while TBI decreased the risk by 61%. No significant association was found between ferritin tertiles and the incidence of hyperglycemia. Conclusion: An iron storage level within the normal range in children is associated with a risk of MetS components, especially in hyperglycemia and reduced HDL-C. The relationship between the three iron indexes and metabolic syndrome and its components is not completely consistent, which suggests that the underlying mechanism is complex and needs to be further explored.

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“…Currently, there is controversy on the association of iron concentrations in the body and its metabolism with the development of the MetS in both genders, both in adults and adolescents. Iron is usually considered as an independent factor for the development of MetS and, thus, not in all cases associated with ceruloplasmin levels [36][37][38][39][40][41].…”

Section: Non Mets Metsmentioning

confidence: 99%

Predictive value of ceruloplasmin for metabolic syndrome in adolescents

et al. 2016

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The metabolic syndrome (MetS) is precisely defined and the cardiovascular risk associated with the clustering of its components has been demonstrated in adults. However, data on children and adolescents are still scarce, in part, because of difficulties in transposing the definition from adults. The identification of risk factors for the development of MetS at an early age is essential for prevention purposes with low‐grade inflammation acting as a determinant for the association among the MetS components. The aim of this study was to investigate the associations of the MetS with systemic markers of inflammation and ceruloplasmin in a population of adolescents. The present is a cross‐sectional study whose sample population consisted of 976 adolescents, 13.2 ± 1.2 years of age. Interleukin‐6 (IL‐6) and tumor necrosis factor‐α (TNF‐α) were determined by ELISA. High‐sensitivity C‐reactive protein (hs‐CRP) was determined by a solid‐phase chemiluminiscent immunometric assay. Ceruloplasmin was measured by immunoturbidimetry. MetS adolescents exhibited higher levels of TNF−α, IL‐6, CRP, and ceruloplasmin compared to non‐MetS individuals. TNF−α, IL‐6, and CRP showed strong correlations with the MetS components and insulin resistance but not relevant predictive values according to ROC curves (AUC values 0.544‐ 0.555). In contrast, ceruloplasmin only showed significant correlations in non‐Mets individuals, but exhibited a very high predictive value (AUC=0.941, P < 0.001). The determination of serum ceruloplasmin in adolescents might be a useful tool to identify patients with the highest risk of future cardiovascular disease. © 2016 BioFactors, 42(2):163–170, 2016

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Iron metabolism and incidence of metabolic syndrome

Abstract: Background and aims: Whether iron metabolism affects metabolic syndrome (METS) is debated. We

Cited by 19 publications

References 25 publications

Hepatic steatosis and hepatic iron overload modify the association of iron markers with glucose metabolism disorders and metabolic syndrome

Hepatic steatosis and hepatic iron overload modify the association of iron markers with glucose metabolism disorders and metabolic syndrome

Association of Iron Storage Markers with Metabolic Syndrome and Its Components in Chinese Rural 6–12 Years Old Children: The 2010–2012 China National Nutrition and Health Survey

Predictive value of ceruloplasmin for metabolic syndrome in adolescents

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