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. 2025 Jul 2;15(1):23008.
doi: 10.1038/s41598-025-04687-w.

Detecting a potential causal relationship between plasma metabolites and myocardial infarction using bidirectional and two-step Mendelian randomization

Affiliations

Detecting a potential causal relationship between plasma metabolites and myocardial infarction using bidirectional and two-step Mendelian randomization

Mengqi Yang et al. Sci Rep. .

Abstract

Some studies have shown that plasma metabolites may be associated with myocardial infarction (MI); however, the causal relationship between plasma metabolites and MI, as well as the potential mediating role of immune cells, remains unclear. This Mendelian randomisation (MR) study utilised large-scale genome-wide association study (GWAS) summary data encompassing 1400 plasma metabolites (n = 8299), 731 immune cell traits from the GWAS Catalog consortium (n = 3757), and MI cases and controls from the FinnGen consortium (cases: n = 26,060; controls: n = 343,079). Using bidirectional MR analysis, we assessed the causal links between plasma metabolites and MI, and between immune cells and MI, excluding reverse causality. Five MR methods were applied, with inverse variance weighting used as the primary analytical approach. In addition, we conducted two-step MR to identify potential immune cell mediators. We identified 44 positive and 33 negative causal associations between genetic liability to plasma metabolites and MI. Of these, only the association between 3β-hydroxy-5-cholestenoate (OR = 0.909; 95% CI 0.871-0.950; P = 1.84 × 10-5) and MI remained statistically significant after Bonferroni correction. Additionally, eight positive and five negative causal associations were observed between immune cells and MI. Among them, HLA-DR on dendritic cells (OR = 1.039; 95% CI 1.020-1.057; P = 2.84 × 10-5) and HLA-DR on plasmacytoid dendritic cells (OR = 1.031; 95% CI 1.016-1.047; P = 4.33 × 10-5) were identified as risk factors for MI after correction. Notably, bidirectional MR revealed that the glutamine conjugate of C6H10O2 (1) (OR = 1.125; 95% CI 1.042-1.215; P = 0.003) was causally associated with increased MI risk, with no evidence of reverse causality or heterogeneity. In the two-step MR analysis, positive associations were found between this metabolite and HLA-DR on CD33-HLA-DR + cells (OR = 1.302; 95% CI 1.014-1.671; P = 0.038), and between the immune trait HLA-DR on CD33-HLA-DR + (OR = 1.035; 95% CI 1.010-1.060; P = 0.005) and MI. Furthermore, mediation analysis indicated that 7.68% of the effect of the metabolite on MI was mediated through HLA-DR on CD33-HLA-DR+. Plasma metabolites and immune cells demonstrated causal associations with myocardial infarction. Moreover, immune cells acted as mediators in the causal pathway from plasma metabolites to myocardial infarction.

Keywords: Immune cells; Mendelian randomisation; Myocardial infarction; Plasma metabolites.

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Conflict of interest statement

Declarations. Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Study overview.
Fig. 2
Fig. 2
Forest plot. (A) MR effect size of CA on MI. (B) MR effect size of HLA-DR on plasmacytoid DCs on MI. (C) MR effect size of HLA-DR on DCs on MI.
Fig. 3
Fig. 3
Scatter plot. (A) SNP effects on CA. (B) SNP effects on HLA-DR on plasmacytoid DCs. (C) SNP effects on HLA-DR on DCs.
Fig. 4
Fig. 4
Sensitivity analysis. (A) MR leave-one-out sensitivity analysis of CA on MI. (B) MR leave-one-out sensitivity analysis of HLA-DR on plasmacytoid DCs on MI. (C) MR leave-one-out sensitivity analysis of HLA-DR on DCs on MI.
Fig. 5
Fig. 5
Mediation analysis.
Fig. 6
Fig. 6
Mediation analysis. The β1 coefficient represents the effect of the metabolite on immune cells; The β2 coefficient represents the effect of immune cells on MI.

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