Evaluation of the causal relationship between 28 circulating biomarkers and osteoarthritis : a bidirectional Mendelian randomization study.

IF 4.7 2区 医学 Q2 CELL & TISSUE ENGINEERING
Xiao-Wei Zhu, Xiao Zheng, Lu Wang, Jia Liu, Man Yang, Ya-Qi Liu, Yun Qian, Yuan Luo, Lei Zhang
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引用次数: 0

Abstract

Aims: Circulating biochemistry markers are commonly used to monitor and detect disease-induced dysfunctions including osteoarthritis (OA). However, the causal nature of this relationship is nevertheless largely unknown, due to unmeasured confounding factors from observational studies. We aimed to reveal the causal relationship between 28 circulating biochemistry markers and OA pathogenesis.

Methods: We conducted a comprehensive bidirectional two-sample Mendelian randomization (MR) study between 28 circulating biomarkers and six OA types, using large-scale genome-wide association study (GWAS) summary statistics data from a UK Biobank cohort (n = 450,243) and the latest OA meta-analysis (n = 826,690). We replicated the significant results of low-density lipoprotein cholesterol (LDL-C) and total cholesterol (TC) in an independent large GWAS dataset obtained from the Global Lipids Genetics Consortium (GLGC) (n > 800,000).

Results: Using 73 to 792 instrumental variables for biomarkers, this large MR analysis identified 11 causal associations at the Bonferroni corrected significance level of 2.98 × 10-4, involving seven biomarkers and five OA types. LDL-C (odds ratio (OR) per SD increase 0.90, 95% CI 0.86 to 0.93), apolipoprotein B (OR 0.86, 95% CI 0.82 to 0.91), TC (OR 0.90, 95% CI 0.86 to 0.94), calcium (OR 0.82, 95% CI 0.75 to 0.90), and glucose (OR 0.81, 95% CI 0.73 to 0.89) are causally associated with a reduced risk of OA, while phosphate (OR 1.18, 95% CI 1.08 to 1.30) and aspartate aminotransferase (OR 1.15, 95% CI 1.07 to 1.24) are causally associated with an increased risk. Analysis of GLGC summary statistics successfully replicated LDL-C (OR 0.93, 95% CI 0.90 to 0.96) and TC (OR 0.92, 95% CI 0.89 to 0.95).

Conclusion: This comprehensive bidirectional MR analysis provides new insights into the prevention and treatment of OA, as well as understanding the biological mechanism underlying OA pathogenesis.

评估 28 种循环生物标志物与骨关节炎之间的因果关系:一项双向孟德尔随机研究。
目的:循环生物化学标志物通常用于监测和检测疾病引起的功能障碍,包括骨关节炎(OA)。然而,由于观察性研究中未测量的混杂因素,这种关系的因果性质在很大程度上是未知的。我们旨在揭示28种循环生物化学标志物与OA发病机制之间的因果关系。方法:我们利用来自英国生物银行队列(n = 450,243)的大规模全基因组关联研究(GWAS)汇总统计数据和最新的OA荟萃分析(n = 826,690),对28种循环生物标志物和6种OA类型进行了全面的双向双样本孟德尔随机化(MR)研究。我们在全球脂质遗传学联盟(GLGC) (n bbb80万)获得的独立大型GWAS数据集中复制了低密度脂蛋白胆固醇(LDL-C)和总胆固醇(TC)的显著结果。结果:使用73至792个生物标志物工具变量,这项大型MR分析确定了11个因果关联,Bonferroni校正显著性水平为2.98 × 10-4,涉及7种生物标志物和5种OA类型。低密度(比值比(或)/ SD增加0.90,95%可信区间0.86到0.93),载脂蛋白B(或0.86,95%可信区间0.82到0.91),TC(或0.90,95%可信区间0.86到0.94),钙(或0.82,95%可信区间0.75到0.90),和葡萄糖(或0.81,95%可信区间0.73到0.89)与OA的风险降低有关,而磷酸(或1.18,95%可信区间1.08到1.30)和天冬氨酸转氨酶(或1.15,95%可信区间1.07到1.24)与风险增加有关。GLGC汇总统计分析成功地复制了LDL-C (OR 0.93, 95% CI 0.90 ~ 0.96)和TC (OR 0.92, 95% CI 0.89 ~ 0.95)。结论:这项全面的双向MR分析为OA的预防和治疗提供了新的见解,并为OA发病机制的生物学机制提供了新的认识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Bone & Joint Research
Bone & Joint Research CELL & TISSUE ENGINEERING-ORTHOPEDICS
CiteScore
7.40
自引率
23.90%
发文量
156
审稿时长
12 weeks
期刊介绍: The gold open access journal for the musculoskeletal sciences. Included in PubMed and available in PubMed Central.
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