Frontiers in Immunology (Mar 2024)

The causal relationship between serum metabolites and the risk of psoriasis: a Mendelian randomization and meta-analysis study

  • Yujie Yang,
  • Xuwei Zheng,
  • Haiying Lv,
  • Bin Tang,
  • Bin Tang,
  • Bin Tang,
  • Bin Tang,
  • Bin Tang,
  • Yiyuan Zhong,
  • Qianqian Luo,
  • Yang Bi,
  • Kexin Yang,
  • Haixin Zhong,
  • Haiming Chen,
  • Haiming Chen,
  • Haiming Chen,
  • Haiming Chen,
  • Haiming Chen,
  • Chuanjian Lu,
  • Chuanjian Lu,
  • Chuanjian Lu,
  • Chuanjian Lu,
  • Chuanjian Lu

DOI
https://doi.org/10.3389/fimmu.2024.1343301
Journal volume & issue
Vol. 15

Abstract

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ObjectiveTo explore the influence of serum metabolites on the risk of psoriasis.MethodsIn the initial stage, we applied Mendelian randomization to evaluate the association between 1,400 serum metabolites and the risk of psoriasis. Causal effects were primarily assessed through the Inverse-Variance Weighted method and Wald Ratio’s odds ratios, and 95% confidence intervals. False Discovery Rate was used for multiple comparison corrections. Sensitivity analyses were conducted using Cochran’s Q Test, MR-PRESSO. MR-Steiger Test was employed to check for reverse causality. In the validation stage, we sought other sources of psoriasis GWAS data to verify the initial results and used meta-analysis to combine the effect sizes to obtain robust causal relationships. In addition, we also conducted metabolic pathway enrichment analysis on known metabolites that have a causal relationship with the risk of psoriasis in both stages.ResultsIn the initial stage, we identified 112 metabolites causally associated with psoriasis, including 32 metabolite ratios and 80 metabolites (69 known and 11 unknown). In the validation stage, 24 metabolites (16 known, 1 unknown, and 7 metabolite ratios) were confirmed to have a causal relationship with psoriasis onset. Meta-analysis results showed that the overall effect of combined metabolites was consistent with the main analysis in direction and robust in the causal relationship with psoriasis onset. Of the 16 known metabolites, most were attributed to lipid metabolism, with 5 as risk factors and 8 as protective factors for psoriasis. Peptidic metabolite Gamma-glutamylvaline levels had a negative causal relationship with psoriasis, while exogenous metabolite Catechol sulfate levels and amino acid 3-methylglutaconate levels had a positive causal relationship with the disease onset. The metabolites associated with psoriasis risk in the two stages are mainly enriched in the following metabolic pathways: Glutathione metabolism, Alpha Linolenic Acid and Linoleic Acid Metabolism, Biosynthesis of unsaturated fatty acids, Arachidonic acid metabolism, Glycerophospholipid metabolism.ConclusionCirculating metabolites may have a potential causal relationship with psoriasis risk, and targeting specific metabolites may benefit psoriasis diagnosis, disease assessment, and treatment.

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