Abstract

BackgroundThe causal relationship between inflammatory cytokines and cardiovascular diseases (CVDs) has not been fully elucidated. Exploring this relationship between circulating inflammatory cytokines and CVDs is crucial for early clinical diagnosis and effective treatment. Methods and ResultsThis study investigated the causal relationships between 41 inflammatory cytokines and six CVDs: heart failure (HF), myocardial infarction (MI), unstable angina pectoris (UAP), stable angina pectoris (SAP), valvular heart disease (VHD), and aortic aneurysm (AA), using the Mendelian Randomization (MR) method. The primary analysis employed the inverse-variance weighted (IVW) method within MR. Heterogeneity and pleiotropy were assessed through MR-Egger regression and the Q statistic. Strong evidence supported the effect of macrophage inflammatory protein-1β (MIP-1β) on MI (OR = 1.062, P < 0.001, FDR <0.001). Suggestive evidence showed that the Beta nerve growth factor increased the risk of MI (OR = 1.145, P = 0.025), but the stem cell factor (SCF) demonstrated a potential protective effect against MI (OR = 0.910, P = 0.04). SCF and hepatocyte growth factor (HGF) exhibited potential protective effects against SAP. No inflammatory cytokine was associated with UAP. Monocyte chemotactic protein-1 was linked to an increased risk of VHD (OR = 1.056, P = 0.049). Higher levels of interleukin-13 (IL-13), interferon gamma-induced protein 10 (IP-10), and growth-regulated oncogene-alpha were associated with increased susceptibility to HF. Elevated basic fibroblast growth factor (bFGF) levels exhibited protective effects against AA (OR = 0.751, P = 0.038). Reverse MR analyses revealed that AA significantly decreased circulating TNF-related apoptosis-inducing ligand (TRAIL) levels (OR = 0.907, P < 0.001, FDR = 0.01). MI significantly increased circulating IL-12-p70 levels (OR = 1.146, P < 0.001, FDR = 0.014). Suggestive evidence indicated the Causal effects of six CVDs on 17 circulating inflammatory cytokines. ConclusionsThis study clarified the causal relationships between specific inflammatory cytokines and six CVDs, providing novel insights and evidence into the genetic involvement of inflammatory cytokines in CVDs. These inflammatory cytokines may be potential biomarkers for early disease diagnosis and treatment evaluation.

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