{"title":"Causal relationships of serum iron metabolites with sepsis and cardiomyopathy: a Mendelian randomization analysis.","authors":"Jian Zhang, Jing Cui, Quanrui Li, Geng Tian","doi":"10.29219/fnr.v69.12623","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>The study aims to investigate the causal relationships of serum iron (SI) metabolites with sepsis and cardiomyopathy as two distinct outcomes.</p><p><strong>Methods: </strong>Genome-wide association studies (GWAS) data for SI, serum ferritin (SF), serum transferrin (STF), transferrin receptor (TFRC), sepsis, and cardiomyopathy were obtained from the EBI website. Transferrin saturation percentage (TSP) data were from the Genetics of Iron Status Consortium. Due to lack of GWAS for acute sepsis-induced cardiomyopathy (SIC), cardiomyopathy GWAS was used as a genetic proxy. Causal relationships were analysed using inverse-variance weighting, MR-Egger, weighted median, simple mode, and weighted mode methods. Power calculations, Cochran's Q test, MR-PRESSO, and Steiger directionality test were performed for quality control.</p><p><strong>Results: </strong>In the analysis of iron metabolites and cardiomyopathy, there were 2 single nucleotide polymorphisms (SNPs) in SI (mean <i>F</i>-statistic = 12.3), 69 SNPs in SF (mean <i>F</i>-statistic = 28.7), 3 SNPs in STF (mean F-statistic = 15.2), 2 SNPs in TFRC (mean <i>F</i>-statistic = 11.8), and 24 SNPs in TSP (mean <i>F</i>-statistic = 22.4); and SF was a risk factor for cardiomyopathy (OR = 1.750, 95%CI: 1.152~2.657, <i>P</i> = 0.009). Furthermore, in the analysis of iron metabolites and sepsis, there were 2 SNPs in SI, 86 SNPs in SF, 4 SNPs in STF, 4 SNPs in TFRC, and 29 SNPs in TSP; and SF was a risk factor of sepsis (OR = 3.079, 95%CI: 1.420~6.679, <i>P</i> = 0.004). The Steiger directionality test confirmed that the causal direction was from ferritin to both outcomes. The results of quality control revealed no heterogeneity or horizontal pleiotropy among SNPs. In addition, there was no significant change in the MR analysis results after the removal of single SNP.</p><p><strong>Conclusion: </strong>SF may increase the risk of both sepsis and cardiomyopathy, potentially through inflammation-iron metabolism pathways rather than direct iron toxicity.</p>","PeriodicalId":12119,"journal":{"name":"Food & Nutrition Research","volume":"69 ","pages":""},"PeriodicalIF":4.5000,"publicationDate":"2025-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12664298/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Food & Nutrition Research","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.29219/fnr.v69.12623","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: The study aims to investigate the causal relationships of serum iron (SI) metabolites with sepsis and cardiomyopathy as two distinct outcomes.
Methods: Genome-wide association studies (GWAS) data for SI, serum ferritin (SF), serum transferrin (STF), transferrin receptor (TFRC), sepsis, and cardiomyopathy were obtained from the EBI website. Transferrin saturation percentage (TSP) data were from the Genetics of Iron Status Consortium. Due to lack of GWAS for acute sepsis-induced cardiomyopathy (SIC), cardiomyopathy GWAS was used as a genetic proxy. Causal relationships were analysed using inverse-variance weighting, MR-Egger, weighted median, simple mode, and weighted mode methods. Power calculations, Cochran's Q test, MR-PRESSO, and Steiger directionality test were performed for quality control.
Results: In the analysis of iron metabolites and cardiomyopathy, there were 2 single nucleotide polymorphisms (SNPs) in SI (mean F-statistic = 12.3), 69 SNPs in SF (mean F-statistic = 28.7), 3 SNPs in STF (mean F-statistic = 15.2), 2 SNPs in TFRC (mean F-statistic = 11.8), and 24 SNPs in TSP (mean F-statistic = 22.4); and SF was a risk factor for cardiomyopathy (OR = 1.750, 95%CI: 1.152~2.657, P = 0.009). Furthermore, in the analysis of iron metabolites and sepsis, there were 2 SNPs in SI, 86 SNPs in SF, 4 SNPs in STF, 4 SNPs in TFRC, and 29 SNPs in TSP; and SF was a risk factor of sepsis (OR = 3.079, 95%CI: 1.420~6.679, P = 0.004). The Steiger directionality test confirmed that the causal direction was from ferritin to both outcomes. The results of quality control revealed no heterogeneity or horizontal pleiotropy among SNPs. In addition, there was no significant change in the MR analysis results after the removal of single SNP.
Conclusion: SF may increase the risk of both sepsis and cardiomyopathy, potentially through inflammation-iron metabolism pathways rather than direct iron toxicity.
期刊介绍:
Food & Nutrition Research is a peer-reviewed journal that presents the latest scientific research in various fields focusing on human nutrition. The journal publishes both quantitative and qualitative research papers.
Through an Open Access publishing model, Food & Nutrition Research opens an important forum for researchers from academic and private arenas to exchange the latest results from research on human nutrition in a broad sense, both original papers and reviews, including:
* Associations and effects of foods and nutrients on health
* Dietary patterns and health
* Molecular nutrition
* Health claims on foods
* Nutrition and cognitive functions
* Nutritional effects of food composition and processing
* Nutrition in developing countries
* Animal and in vitro models with clear relevance for human nutrition
* Nutrition and the Environment
* Food and Nutrition Education
* Nutrition and Economics
Research papers on food chemistry (focus on chemical composition and analysis of foods) are generally not considered eligible, unless the results have a clear impact on human nutrition.
The journal focuses on the different aspects of nutrition for people involved in nutrition research such as Dentists, Dieticians, Medical doctors, Nutritionists, Teachers, Journalists and Manufacturers in the food and pharmaceutical industries.