Causal Effects of Genetically Predicted Iron Status on Sepsis: A Two-Sample Bidirectional Mendelian Randomization Study

Background/Aim: Several observational studies showed a significant association between elevated iron status biomarkers levels and sepsis with the unclear direction of causality. A two-sample bidirectional mendelian randomization (MR) study was designed to identify the causal direction between seven...

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Autores principales: Yuanlong Hu, Xiaomeng Cheng, Huaiyu Mao, Xianhai Chen, Yue Cui, Zhanjun Qiu
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Publicado: Frontiers Media S.A. 2021
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spelling oai:doaj.org-article:f7a6167b51ac4615a3a8e46fa59da3272021-11-19T05:25:18ZCausal Effects of Genetically Predicted Iron Status on Sepsis: A Two-Sample Bidirectional Mendelian Randomization Study2296-861X10.3389/fnut.2021.747547https://doaj.org/article/f7a6167b51ac4615a3a8e46fa59da3272021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fnut.2021.747547/fullhttps://doaj.org/toc/2296-861XBackground/Aim: Several observational studies showed a significant association between elevated iron status biomarkers levels and sepsis with the unclear direction of causality. A two-sample bidirectional mendelian randomization (MR) study was designed to identify the causal direction between seven iron status traits and sepsis.Methods: Seven iron status traits were studied, including serum iron, ferritin, transferrin saturation, transferrin, hemoglobin, erythrocyte count, and reticulocyte count. MR analysis was first performed to estimate the causal effect of iron status on the risk of sepsis and then performed in the opposite direction. The multiplicative random-effects and fixed-effects inverse-variance weighted, weighted median-based method and MR-Egger were applied. MR-Egger regression, MR pleiotropy residual sum and outlier (MR-PRESSO), and Cochran's Q statistic methods were used to assess heterogeneity and pleiotropy.Results: Genetically predicted high levels of serum iron (OR = 1.21, 95%CI = 1.13–1.29, p = 3.16 × 10−4), ferritin (OR = 1.32, 95%CI = 1.07–1.62, p =0.009) and transferrin saturation (OR = 1.14, 95%CI = 1.06–1.23, p = 5.43 × 10−4) were associated with an increased risk of sepsis. No significant causal relationships between sepsis and other four iron status biomarkers were observed.Conclusions: This present bidirectional MR analysis suggested the causal association of the high iron status with sepsis susceptibility, while the reverse causality hypothesis did not hold. The levels of transferrin, hemoglobin, erythrocytes, and reticulocytes were not significantly associated with sepsis. Further studies will be required to confirm the potential clinical value of such a prevention and treatment strategy.Yuanlong HuYuanlong HuXiaomeng ChengXiaomeng ChengHuaiyu MaoXianhai ChenXianhai ChenYue CuiZhanjun QiuZhanjun QiuFrontiers Media S.A.articleiron statusiron metabolismsepsisinfectionbidirectional mendelian randomization analysesNutrition. Foods and food supplyTX341-641ENFrontiers in Nutrition, Vol 8 (2021)
institution DOAJ
collection DOAJ
language EN
topic iron status
iron metabolism
sepsis
infection
bidirectional mendelian randomization analyses
Nutrition. Foods and food supply
TX341-641
spellingShingle iron status
iron metabolism
sepsis
infection
bidirectional mendelian randomization analyses
Nutrition. Foods and food supply
TX341-641
Yuanlong Hu
Yuanlong Hu
Xiaomeng Cheng
Xiaomeng Cheng
Huaiyu Mao
Xianhai Chen
Xianhai Chen
Yue Cui
Zhanjun Qiu
Zhanjun Qiu
Causal Effects of Genetically Predicted Iron Status on Sepsis: A Two-Sample Bidirectional Mendelian Randomization Study
description Background/Aim: Several observational studies showed a significant association between elevated iron status biomarkers levels and sepsis with the unclear direction of causality. A two-sample bidirectional mendelian randomization (MR) study was designed to identify the causal direction between seven iron status traits and sepsis.Methods: Seven iron status traits were studied, including serum iron, ferritin, transferrin saturation, transferrin, hemoglobin, erythrocyte count, and reticulocyte count. MR analysis was first performed to estimate the causal effect of iron status on the risk of sepsis and then performed in the opposite direction. The multiplicative random-effects and fixed-effects inverse-variance weighted, weighted median-based method and MR-Egger were applied. MR-Egger regression, MR pleiotropy residual sum and outlier (MR-PRESSO), and Cochran's Q statistic methods were used to assess heterogeneity and pleiotropy.Results: Genetically predicted high levels of serum iron (OR = 1.21, 95%CI = 1.13–1.29, p = 3.16 × 10−4), ferritin (OR = 1.32, 95%CI = 1.07–1.62, p =0.009) and transferrin saturation (OR = 1.14, 95%CI = 1.06–1.23, p = 5.43 × 10−4) were associated with an increased risk of sepsis. No significant causal relationships between sepsis and other four iron status biomarkers were observed.Conclusions: This present bidirectional MR analysis suggested the causal association of the high iron status with sepsis susceptibility, while the reverse causality hypothesis did not hold. The levels of transferrin, hemoglobin, erythrocytes, and reticulocytes were not significantly associated with sepsis. Further studies will be required to confirm the potential clinical value of such a prevention and treatment strategy.
format article
author Yuanlong Hu
Yuanlong Hu
Xiaomeng Cheng
Xiaomeng Cheng
Huaiyu Mao
Xianhai Chen
Xianhai Chen
Yue Cui
Zhanjun Qiu
Zhanjun Qiu
author_facet Yuanlong Hu
Yuanlong Hu
Xiaomeng Cheng
Xiaomeng Cheng
Huaiyu Mao
Xianhai Chen
Xianhai Chen
Yue Cui
Zhanjun Qiu
Zhanjun Qiu
author_sort Yuanlong Hu
title Causal Effects of Genetically Predicted Iron Status on Sepsis: A Two-Sample Bidirectional Mendelian Randomization Study
title_short Causal Effects of Genetically Predicted Iron Status on Sepsis: A Two-Sample Bidirectional Mendelian Randomization Study
title_full Causal Effects of Genetically Predicted Iron Status on Sepsis: A Two-Sample Bidirectional Mendelian Randomization Study
title_fullStr Causal Effects of Genetically Predicted Iron Status on Sepsis: A Two-Sample Bidirectional Mendelian Randomization Study
title_full_unstemmed Causal Effects of Genetically Predicted Iron Status on Sepsis: A Two-Sample Bidirectional Mendelian Randomization Study
title_sort causal effects of genetically predicted iron status on sepsis: a two-sample bidirectional mendelian randomization study
publisher Frontiers Media S.A.
publishDate 2021
url https://doaj.org/article/f7a6167b51ac4615a3a8e46fa59da327
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