ArticleDiabetology & metabolic syndrome2023
Epidemiological and transcriptome data identify potential key genes involved in iron overload for type 2 diabetes.
Article in Diabetology & metabolic syndrome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 7 citations in OpenAlex.
- Identification of FLVCR1 as the iron metabolism-related gene of statin-associated diabetes.Acta diabetologica · 2025Article
- Global trends and hotspots of type 2 diabetes in children and adolescents: A bibliometric study and visualization analysis.World journal of diabetes · 2025Article
- Ferroptosis in diabetic cardiomyopathy: from its mechanisms to therapeutic strategies.Frontiers in endocrinology · 2024Review
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10 authors at 3 institutions in 1 country.
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Abstract
backgroundMany previous studies have reported the association between iron overload (IO) and type 2 diabetes mellitus (T2DM). However, the underlying molecular mechanism is not clear.
methodsEpidemiological data from the National Health and Nutrition Examination Survey 2017-2018 (NHANES) was used to systematically explore the association between IO and diabetes. Furthermore, transcriptome data from Gene Expression Omnibus (GEO) were analyzed using bioinformatics methods to explore the underlying functional mechanisms at the molecular level.
resultsData from NHANES showed a "W" shape relationship between serum iron (frozen) and the risk of diabetes (P < 0.001) as well as a "∧" shape correlation between serum unsaturated iron binding capacity (UIBC) and the risk of diabetes (P = 0.007). Furthermore, the serum iron (frozen) was positively associated with fasting plasma glucose and HOMAB (P < 0.05), and UIBC was positively associated with fasting insulin (P < 0.05). Transcriptome data showed that two IO-related genes [Transferrin receptor (TFRC) and Solute carrier family-11 member-2 (SLC11A2)] were down-regulated in T2DM. The correlation analysis showed that expression levels of TFRC and SLC11A2 were significantly and positively correlated with genes involved in insulin secretion (P < 0.05). Protein-protein interaction network analysis showed that TFRC and SLC11A2 interacted with four key genes, including VAMP2, HIF1A, SLC2A1, and RAB11FIP2.
conclusionWe found that IO status was associated with increased FPG and aggravated HOMAB, and two IO-related genes (TFRC and SLC11A2) might induce the occurrence of T2DM by influencing insulin secretion, which provides potential therapeutic targets for T2DM patients.
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