Evidence map›Paper›PMID 36773317›Full record

ArticleInternational journal of epidemiology2023

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

Guillaume Butler-Laporte, Yossi Farjoun, Yiheng Chen, Michael Hultström, Kevin Y H Liang, Tomoko Nakanishi, Chen-Yang Su, Satoshi Yoshiji, Vincenzo Forgetta, J Brent Richards

Open access · bronzeAbstract read
In one paragraph

Article in International journal of epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
7.3field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Mendelian Randomization and Infection: Pitfalls and Promises.The Journal of infectious diseases · 2025
    Review
  8. Article
  9. Observational
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 4 countries.

Guillaume Butler-LaporteLady Davis Institute for Medical Research, Jewish General Hospital, McGill University, Montréal, QC, Canada.ORCID 0000-0001-5388-0396
Yossi FarjounLady Davis Institute for Medical Research, Jewish General Hospital, McGill University, Montréal, QC, Canada.
Yiheng ChenLady Davis Institute for Medical Research, Jewish General Hospital, McGill University, Montréal, QC, Canada.
Michael HultströmLady Davis Institute for Medical Research, Jewish General Hospital, McGill University, Montréal, QC, Canada.
Kevin Y H LiangLady Davis Institute for Medical Research, Jewish General Hospital, McGill University, Montréal, QC, Canada.
Tomoko NakanishiLady Davis Institute for Medical Research, Jewish General Hospital, McGill University, Montréal, QC, Canada.ORCID 0000-0001-9510-5646
Chen-Yang SuLady Davis Institute for Medical Research, Jewish General Hospital, McGill University, Montréal, QC, Canada.
Satoshi YoshijiLady Davis Institute for Medical Research, Jewish General Hospital, McGill University, Montréal, QC, Canada.
Vincenzo ForgettaLady Davis Institute for Medical Research, Jewish General Hospital, McGill University, Montréal, QC, Canada.ORCID 0000-0002-6061-4720
J Brent RichardsLady Davis Institute for Medical Research, Jewish General Hospital, McGill University, Montréal, QC, Canada.ORCID 0000-0002-3746-9086
Jewish General Hospital · CAJapan Society for the Promotion of Science · JPKing's College London · GBKyoto University · JPUppsala University · SE

Funding

Cancer Research UKDepartment of HealthMedical Research CouncilWellcome Trust
6 · The paper itself

Abstract

objectivesIncreased 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.

methodsAs 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).

resultsMost 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).

conclusionUsing 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.

Indexed as

Communicable DiseasesCOVID-19SepsisBiomarkersGenome-Wide Association StudyHumansIronMendelian Randomization AnalysisPolymorphism, Single NucleotideBiomarkersIronferritininfectious diseaseIronMendelian randomization

Identifiers

PMID36773317
PMCPMC10396421
OpenAlexW4320035221

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.