Insights into Causal Associations of Lipid Traits and Lipid-modifying Drug Targets with Uric Acid and Risk of Gout

深入探究脂质特征和脂质调节药物靶点与尿酸及痛风风险的因果关联

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Abstract

Emerging lipid-modifying agents show potential but lack evidence for the management of uric acid and gout. We aimed to explore the causal effects of lipid traits, lipid-modifying drugs on uric acid levels and risk of gout. Two-sample MR analyses were performed to investigate the associations of genetically predicted lipid traits (LDL-C, HDL-C and TG) and lipid-modifying drug targets (PCSK9, HMGCR, NPC1L1, CETP, ABCG5/G8, APOB, LDLR, LPL, ANGPTL3, and APOC3) with uric acid levels and gout risk. Validation analyses were performed using the independent cohort of the UK Biobank. Summary-data-based MR was further conducted to estimate the associations of the expression of drug target genes with the outcomes. Genetically predicted lower HDL-C and higher TG were significantly associated with elevated uric acid levels (β (95% CI): -0.11 [-0.18, -0.04], p = 0.001 for HDL-C; 0.18 [0.09, 0.27], p < 0.001 for TG) and increased risk of gout (OR (95% CI): 0.83 [0.71, 0.97], p = 0.017 for HDL-C; 1.54 [1.25, 1.91], p < 0.001 for TG). Notably, LPL activation among lipid-modifying drug targets demonstrated significant associations with both reduced uric acid levels (β [95% CI]: -0.13 [-0.16, -0.10], p < 0.001) and decreased risk of gout (OR 95% CI: 0.84 [0.76, 0.93], p = 0.001). These findings were corroborated in the UK Biobank dataset. Furthermore, the expression of LPL was significantly associated with lower uric acid levels (β [95% CI]: -0.03 [-0.04, -0.01], p = 0.002). Our results suggest that LPL activation, which reduces TG levels, holds promise as a candidate drug for the treatment and prevention of hyperuricemia and gout. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s43657-024-00212-7.

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