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血脂、调脂药物与膀胱癌风险:一项孟德尔随机化研究

Blood lipids, lipid-regulatory medications, and risk of bladder cancer: a Mendelian randomization study.

作者信息

Cheng Zhang, Ye Fangdie, Liang Yingchun, Xu Chenyang, Zhang Zheyu, Ou Yuxi, Chen Xinan, Dai Xiyu, Mou Zezhong, Li Weijian, Chen Yiling, Zhou Quan, Zou Lujia, Mao Shanhua, Jiang Haowen

机构信息

Department of Urology, Huashan Hospital, Fudan University, Shanghai, China.

Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, China.

出版信息

Front Nutr. 2023 Dec 22;10:992608. doi: 10.3389/fnut.2023.992608. eCollection 2023.

Abstract

BACKGROUND

The influences of blood lipids and lipid-regulatory medications on the risk of bladder cancer have long been suspected, and previous findings remain controversial. We aimed to assess the causality between blood lipids or lipid-regulatory medications and bladder cancer susceptibility by means of a comprehensive Mendelian Randomization (MR) study.

METHODS

Genetic proxies from genome-wide association studies (GWAS) of four blood lipid traits and lipid-lowering variants in genes encoding the targets of lipid-regulatory medications were employed. The largest ever GWAS data of blood lipids and bladder cancer involving up to 440,546 and 205,771 individuals of European ancestry were extracted from UK Biobank and FinnGen Project Round 6, respectively. A two-sample bidirectional MR study was performed using the inverse variance weighted as the main method. The heterogeneity, horizontal pleiotropy, MR Steiger, and leave-one-out analyses were also conducted as sensitivity tests.

RESULTS

There was indicative evidence that genetically predicted low-density lipoprotein cholesterol (LDL-C) affected bladder cancer susceptibility based on 146 single nucleotide polymorphisms (SNPs) with an odds ratio (OR) of 0.776 (95% confidence interval [CI] = 0.625-0.965,  = 0.022). However, this result became non-significant after two SNPs that possibly drove the effect were removed as demonstrated by leave-one-out analysis. The reversed MR analysis suggested that bladder cancer could not affect serum lipid levels. No causal relationship was found between the lipid-lowering effect of lipid-regulatory medications (fibrates, probucol, statins, ezetimibe, proprotein convertase subtilisin/kexin type 9 [PCSK9] inhibitors, and evinacumab) and the risk of bladder cancer. No heterogeneity or pleiotropy was found (all  > 0.05).

CONCLUSION

This MR study revealed for the first time, using the most recent and comprehensive GWAS data to date, that genetically predicted total cholesterol (TC) and the lipid-lowering effect of lipid-regulatory medications had no causal association with bladder cancer susceptibility. We also verified claims from early studies that low-density lipoprotein cholesterol (HDL-C), LDL-C, and triglyceride (TG) are not related to bladder cancer susceptibility either. The current study indicated that lipid metabolism may not be as important in the tumorigenesis of bladder cancer as previously believed.

摘要

背景

长期以来,人们一直怀疑血脂和调脂药物对膀胱癌风险有影响,而先前的研究结果仍存在争议。我们旨在通过一项全面的孟德尔随机化(MR)研究来评估血脂或调脂药物与膀胱癌易感性之间的因果关系。

方法

采用来自四项血脂性状全基因组关联研究(GWAS)的遗传代理以及编码调脂药物靶点的基因中的降脂变异。分别从英国生物银行和芬兰基因研究项目第6轮中提取了有史以来最大的血脂和膀胱癌GWAS数据,涉及多达440546名和205771名欧洲血统个体。使用逆方差加权作为主要方法进行两样本双向MR研究。还进行了异质性、水平多效性、MR Steiger和留一法分析作为敏感性检验。

结果

有指示性证据表明,基于146个单核苷酸多态性(SNP),基因预测的低密度脂蛋白胆固醇(LDL-C)会影响膀胱癌易感性,优势比(OR)为0.776(95%置信区间[CI]=0.625 - 0.965,=0.022)。然而,如留一法分析所示,去除两个可能驱动该效应的SNP后,这一结果变得不显著。反向MR分析表明膀胱癌不会影响血脂水平。未发现调脂药物(贝特类、普罗布考、他汀类、依泽替米贝、前蛋白转化酶枯草溶菌素/kexin 9型[PCSK9]抑制剂和evinacumab)的降脂作用与膀胱癌风险之间存在因果关系。未发现异质性或多效性(所有>0.05)。

结论

这项MR研究首次使用迄今为止最新和全面的GWAS数据表明,基因预测的总胆固醇(TC)和调脂药物的降脂作用与膀胱癌易感性无因果关联。我们还证实了早期研究的说法,即高密度脂蛋白胆固醇(HDL-C)、低密度脂蛋白胆固醇(LDL-C)和甘油三酯(TG)也与膀胱癌易感性无关。当前研究表明,脂质代谢在膀胱癌发生过程中可能不像以前认为的那么重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68ef/10768687/77a0d6aff471/fnut-10-992608-g001.jpg

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