SynthesisBMC infectious diseases2023
Causal relationship between blood metabolites and risk of five infections: a Mendelian randomization study.
Synthesis in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 7 citations in OpenAlex.
- Rapid detection of urinary tract infection by analyzing the dried spots of biological fluids using convolutional neural networks.Scientific reports · 2026Article
- A systematic exploration of gut microbiota-driven blood metabolites in sepsis: an integrated bioinformatics and genetic association study.Frontiers in genetics · 2026Article
- A scoping review on the possible immunometabolic properties of the furan fatty acid metabolite 3-carboxy-4-methyl-5-propyl-2-furanpropionic acid.The American journal of clinical nutrition · 2025Article
- Lipidomics Reveals Common Mechanisms in Polycystic Ovarian Syndrome, Recurrent Spontaneous Abortion, and Infertility: A Genetic-Based Analysis.International journal of women's health · 2025Article
- Machine Learning Metabolomics Profiling of Dietary Interventions from a Six-Week Randomised Trial.Metabolites · 2024Article
- Circulating micronutrient levels and their association with sepsis susceptibility and severity: a Mendelian randomization study.Frontiers in genetics · 2024Article
- The effect of lipidomes on the risk of endometrioid endometrial cancer: a Mendelian randomization study.Frontiers in oncology · 2024Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveInfectious diseases continue to pose a significant threat in the field of global public health, and our understanding of their metabolic pathogenesis remains limited. However, the advent of genome-wide association studies (GWAS) offers an unprecedented opportunity to unravel the relationship between metabolites and infections.
methodsUnivariable and multivariable Mendelian randomization (MR) was commandeered to elucidate the causal relationship between blood metabolism and five high-frequency infection phenotypes: sepsis, pneumonia, upper respiratory tract infections (URTI), urinary tract infections (UTI), and skin and subcutaneous tissue infection (SSTI). GWAS data for infections were derived from UK Biobank and the FinnGen consortium. The primary analysis was conducted using the inverse variance weighted method on the UK Biobank data, along with a series of sensitivity analyses. Subsequently, replication and meta-analysis were performed on the FinnGen consortium data.
resultsAfter primary analysis and a series of sensitivity analyses, 17 metabolites were identified from UK Biobank that have a causal relationship with five infections. Upon joint analysis with the FinGen cohort, 7 of these metabolites demonstrated consistent associations. Subsequently, we conducted a multivariable Mendelian randomization analysis to confirm the independent effects of these metabolites. Among known metabolites, genetically predicted 1-stearoylglycerol (1-SG) (odds ratio [OR] = 0.561, 95% confidence interval [CI]: 0.403-0.780, P < 0.001) and 3-carboxy-4-methyl-5-propyl-2-furanpropanoate (CMPF) (OR = 0.780, 95%CI: 0.689-0.883, P < 0.001) was causatively associated with a lower risk of sepsis, and genetically predicted phenylacetate (PA) (OR = 1.426, 95%CI: 1.152-1.765, P = 0.001) and cysteine (OR = 1.522, 95%CI: 1.170-1.980, P = 0.002) were associated with an increased risk of UTI. Ursodeoxycholate (UDCA) (OR = 0.906, 95%CI: 0.829-0.990, P = 0.029) is a protective factor against pneumonia. Two unknown metabolites, X-12407 (OR = 1.294, 95%CI: 1.131-1.481, P < 0.001), and X-12847 (OR = 1.344, 95%CI: 1.152-1.568, P < 0.001), were also identified as independent risk factors for sepsis.
conclusionsIn this MR study, we demonstrated a causal relationship between blood metabolites and the risk of developing sepsis, pneumonia, and UTI. However, there was no evidence of a causal connection between blood metabolites and the risk of URTI or SSTI, indicating a need for larger-scale studies to further investigate susceptibility to certain infection phenotypes.
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