Increasing serum iron levels and their role in the risk of infectious diseases: a Mendelian randomization approach

被引:10
作者
Butler-Laporte, Guillaume [1 ,2 ]
Farjoun, Yossi [1 ]
Chen, Yiheng [1 ]
Hultstrom, Michael [1 ,2 ,3 ,4 ]
Liang, Kevin Y. H. [1 ]
Nakanishi, Tomoko [1 ,5 ,6 ,7 ]
Su, Chen-Yang [1 ]
Yoshiji, Satoshi [1 ,6 ]
Forgetta, Vincenzo [1 ]
Richards, J. Brent [1 ,2 ,5 ,8 ,9 ,10 ]
机构
[1] McGill Univ, Jewish Gen Hosp, Lady Davis Inst Med Res, Montreal, PQ, Canada
[2] McGill Univ, Dept Epidemiol Biostat & Occupat Hlth, Montreal, PQ, Canada
[3] Uppsala Univ, Dept Surg Sci, Anaesthesiol & Intens Care Med, Uppsala, Sweden
[4] Uppsala Univ, Dept Med Cell Biol, Integrat Physiol, Uppsala, Sweden
[5] McGill Univ, Dept Human Genet, Montreal, PQ, Canada
[6] Kyoto Univ, Kyoto McGill Int Collaborat Sch Genom Med, Grad Sch Med, Kyoto, Japan
[7] Japan Soc Promot Sci, Tokyo, Japan
[8] McGill Univ, Infect Dis & Immun Global Hlth Program, Res Inst, Hlth Ctr, Montreal, PQ, Canada
[9] Kings Coll London, Dept Twin Res, London, England
[10] 5 Prime Sci Inc, Montreal, PQ, Canada
基金
英国惠康基金; 日本学术振兴会; 英国医学研究理事会; 加拿大健康研究院;
关键词
Iron; ferritin; Mendelian randomization; infectious disease; GENOME-WIDE ASSOCIATION; EPIDEMIOLOGY; INDICATORS; RESOURCE; BIAS;
D O I
10.1093/ije/dyad010
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Objectives Increased iron stores have been associated with elevated risks of different infectious diseases, suggesting that iron supplementation may increase the risk of infections. However, these associations may be biased by confounding or reverse causation. This is important, since up to 19% of the population takes iron supplementation. We used Mendelian randomization (MR) to bypass these biases and estimate the causal effect of iron on infections. Methods As instrumental variables, we used genetic variants associated with iron biomarkers in two genome-wide association studies (GWASs) of European ancestry participants. For outcomes, we used GWAS results from the UK Biobank, FinnGen, the COVID-19 Host Genetics Initiative or 23andMe, for seven infection phenotypes: 'any infections', combined, COVID-19 hospitalization, candidiasis, pneumonia, sepsis, skin and soft tissue infection (SSTI) and urinary tract infection (UTI). Results Most of our analyses showed increasing iron (measured by its biomarkers) was associated with only modest changes in the odds of infectious outcomes, with all 95% odds ratios confidence intervals within the 0.88 to 1.26 range. However, for the three predominantly bacterial infections (sepsis, SSTI, UTI), at least one analysis showed a nominally elevated risk with increased iron stores (P <0.05). Conclusion Using MR, we did not observe an increase in risk of most infectious diseases with increases in iron stores. However for bacterial infections, higher iron stores may increase odds of infections. Hence, using genetic variation in iron pathways as a proxy for iron supplementation, iron supplements are likely safe on a population level, but we should continue the current practice of conservative iron supplementation during bacterial infections or in those at high risk of developing them.
引用
收藏
页码:1163 / 1174
页数:12
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