Evidence map›Paper›PMID 39720031›Full record

ArticleHeliyon2024

Effect of iron status on myocardial infarction: A two-sample Mendelian randomization study.

Xiaozhuo Xu, Jing Liu, Yilin Huang, Xu Han

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Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Xiaozhuo XuDepartment of Geriatrics, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, City Nanjing, China.
Jing LiuDepartment of Geriatrics, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, City Nanjing, China.
Yilin HuangDepartment of Geriatrics, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, City Nanjing, China.
Xu HanDepartment of Geriatrics, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, City Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In observational studies, connections have been identified between iron status and myocardial infarction (MI). The significance of changes in iron status as either a risk factor or a result of MI remains unclear. Methods: We obtained our instrumental variables from a meta-analysis of three GWASs in Iceland, the UK, and Denmark, which discovered 62 independent sequence variants across 56 loci linked to blood iron levels, ferritin, total iron binding capacity (TIBC), transferrin saturation (TSAT), and the Genetics of Iron Status (GIS) database for transferrin. To evaluate the connection between iron status markers and myocardial infarction (MI), we used three GWAS datasets focused on MI outcomes. The chosen datasets included one representing the European population (ebi-a-GCST011364: n case = 14,825, n control = 380,970; finn-b-I9_MI: n case = 12,801, n control = 187,840) and another with a mixed population (ieu-a-798: n case = 43,676, n control = 128,199). The primary method used in our study was inverse variance-weighting, while we also assessed heterogeneity and horizontal pleiotropy to enhance the robustness of our findings. Results: The main analysis with the inverse variance-weighted method showed no significant impact of iron marker levels on MI risk in the ebi-a-GCST011364 and finn-b-I9-MI cohorts. In contrast, the ieu-a-798 cohort indicated that higher ferritin levels had a protective effect against MI (OR = 0.87, 95 % CI 0.78-0.98, P = 0.03). Additionally, TSAT showed an association with decreased MI risk (OR = 0.91, 95 % CI 0.84-0.98, P = 0.01). No significant correlations were observed for other iron status traits examined in this study. Evaluations of horizontal pleiotropy and heterogeneity showed no abnormalities, further strengthening the reliability of our results. Conclusions: Our multi-cohort MR analysis suggests a potential protective effect of higher ferritin levels and TSAT against MI risk. These findings contribute to our understanding of the relationship between iron status markers and cardiovascular health, offering insights for future research and potential therapeutic interventions.

Indexed as

FerritinIronMendelian randomizationMyocardial infarctionTotal iron binding capacityTransferrinTransferrin saturation

Identifiers

PMID39720031
PMCPMC11665644

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