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ORIGINAL RESEARCH article

Front. Endocrinol.
Sec. Renal Endocrinology
Volume 15 - 2024 | doi: 10.3389/fendo.2024.1398023
This article is part of the Research Topic New Drugs in Lipid Lowering Therapy View all 4 articles

Associations between lipid-lowering drugs and urate and gout outcomes: a Mendelian randomization study

Provisionally accepted
Min Liu Min Liu 1*Na Yin Na Yin 2Yuhang Zhu Yuhang Zhu 1Aili Du Aili Du 1*Chunyuan Cai Chunyuan Cai 1*Pengyuan Leng Pengyuan Leng 1*
  • 1 Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
  • 2 School of Nursing, Hangzhou Normal University, Hangzhou, China

The final, formatted version of the article will be published soon.

    Objective: Gout is a common inflammatory arthritis and lipid metabolism plays a crucial role in urate and gout. Potential associations between urate and gout and lipidlowering drugs have been revealed in observational studies. However, the effects of lipid-lowering drugs on urate and gout remain controversial. The aim of this study was to investigate the genetic association between lipid-lowering drugs and urate and gout.Methods: In this study, two genetic proxies were employed to approximate lipidlowering drug exposure: expression quantitative trait loci (eQTL) associated with drug-target genes and genetic variations proximal to or within genes targeted by these drugs, which are linked to low-density lipoprotein cholesterol (LDL-C) levels. The study's exposures encompassed genetic variants within drug target genes (HMGCR, PCSK9, NPC1L1), each representing distinct lipid-lowering mechanisms. Causal effects were estimated using the inverse variance weighting (IVW) method, while the Summary Data-based Mendelian Randomization (SMR) method, leveraging pooled data, was applied to compute effect estimates. These estimates were further refined through various approaches including MR-Egger, the weighted median method, simple and weighted models, and leave-one-out analyses to conduct sensitivity analyses.The analytical outcomes utilizing the IVW method indicated that inhibitors of HMGCR were correlated with an elevated risk of developing gout (IVW: OR [95%CI] = 1.25 [1.03, 1.46], p=0.0436), while PCSK9 inhibitors were linked to heightened levels of urate (IVW: OR [95%CI] = 1.06 [1.01,1.10], p=0.0167).Conversely, no significant correlation between NPC1L1 inhibitors and the levels of urate or the risk of gout was established. Furthermore, the SMR analysis failed to identify significant associations between the expression levels of the HMGCR, PCSK9, and NPC1L1 genes and the risk of gout or elevated urate levels (SMR method: all P values >0.05). Sensitivity analyses further confirmed the robustness of these results, with no significant heterogeneity or pleiotropy found.This study furnishes novel causal evidence supporting the potential genetic correlation between the use of lipid-lowering drugs and the incidence of gout as well as urate levels. The findings indicate that inhibitors targeting HMGCR may elevate the risk associated with the development of gout, while inhibitors targeting PCSK9 are likely to increase urate concentrations.

    Keywords: Lipid-lowering drugs, Gout, urate, Drug Targets, eQTL, Mendelian randomization

    Received: 08 Mar 2024; Accepted: 23 Dec 2024.

    Copyright: © 2024 Liu, Yin, Zhu, Du, Cai and Leng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Min Liu, Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
    Aili Du, Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
    Chunyuan Cai, Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
    Pengyuan Leng, Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China

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