Exploring antidiabetic drug targets as potential disease-modifying agents in osteoarthritis.

IF 9.7 1区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL EBioMedicine Pub Date : 2024-09-01 Epub Date: 2024-08-16 DOI:10.1016/j.ebiom.2024.105285
Kai Fu, Shucheng Si, Xinzhong Jin, Yan Zhang, Vicky Duong, Qianying Cai, Guangyi Li, Win Min Oo, Xianyou Zheng, Cindy G Boer, Yuqing Zhang, Xiaojuan Wei, Changqing Zhang, Youshui Gao, David J Hunter
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Abstract

Background: Osteoarthritis is a leading cause of disability, and disease-modifying osteoarthritis drugs (DMOADs) could represent a pivotal advancement in treatment. Identifying the potential of antidiabetic medications as DMOADs could impact patient care significantly.

Methods: We designed a comprehensive analysis pipeline involving two-sample Mendelian Randomization (MR) (genetic proxies for antidiabetic drug targets), summary-based MR (SMR) (for mRNA), and colocalisation (for drug-target genes) to assess their causal relationship with 12 osteoarthritis phenotypes. Summary statistics from the largest genome-wide association meta-analysis (GWAS) of osteoarthritis and gene expression data from the eQTLGen consortium were utilised.

Findings: Seven out of eight major types of clinical antidiabetic medications were identified, resulting in fourteen potential drug targets. Sulfonylurea targets ABCC8/KCNJ11 were associated with increased osteoarthritis risk at any site (odds ratio (OR): 2.07, 95% confidence interval (CI): 1.50-2.84, P < 3 × 10-4), while PPARG, influenced by thiazolidinediones (TZDs), was associated with decreased risk of hand (OR: 0.61, 95% CI: 0.48-0.76, P < 3 × 10-4), finger (OR: 0.50, 95% CI: 0.35-0.73, P < 3 × 10-4), and thumb (OR: 0.49, 95% CI: 0.34-0.71, P < 3 × 10-4) osteoarthritis. Metformin and GLP1-RA, targeting GPD1 and GLP1R respectively, were associated with reduced risk of knee and finger osteoarthritis. In the SMR analyses, gene expression of KCNJ11, GANAB, ABCA1, and GSTP1, targeted by antidiabetic drugs, was significantly linked to at least one osteoarthritis phenotype and was replicated across at least two gene expression datasets. Additionally, increased KCNJ11 expression was related to decreased osteoarthritis risk and co-localised with at least one osteoarthritis phenotype.

Interpretation: Our findings suggest a potential therapeutic role for antidiabetic drugs in treating osteoarthritis. The results indicate that certain antidiabetic drug targets may modify disease progression, with implications for developing targeted DMOADs.

Funding: This study was funded by the Shanghai Municipal Education Commission-Gaofeng Clinical Medicine Grant (2022), the Shanghai Municipal Health Commission Health Industry Clinical Research Project (Grant No. 20224Y0139), Beijing Natural Science Foundation (Grant No. 7244458), and the Postdoctoral Fellowship Program (Grade C) of China Postdoctoral Science Foundation (Grant No. GZC20230130).

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探索将抗糖尿病药物靶点作为骨关节炎的潜在疾病调节剂。
背景:骨关节炎是导致残疾的主要原因,而改变病情的骨关节炎药物(DMOADs)可能是治疗骨关节炎的关键进展。确定抗糖尿病药物作为 DMOADs 的潜力将对患者护理产生重大影响:我们设计了一个综合分析流水线,其中包括双样本孟德尔随机化(MR)(抗糖尿病药物靶点的基因代理)、基于摘要的MR(SMR)(mRNA)和共定位(药物靶点基因),以评估它们与12种骨关节炎表型的因果关系。研究利用了最大的骨关节炎全基因组关联荟萃分析(GWAS)的汇总统计数据和eQTLGen联盟的基因表达数据:在八种主要的临床抗糖尿病药物中发现了七种,由此产生了十四个潜在的药物靶点。磺脲类药物靶点 ABCC8/KCNJ11 与任何部位的骨关节炎风险增加有关(几率比 (OR):2.07,95% 置信区间 (CI):1.50-2.84,P -4),而受噻唑烷二酮类药物(TZDs)影响的 PPARG 与手部(OR:0.61,95% CI:0.48-0.76,P -4)、手指(OR:0.50,95% CI:0.35-0.73,P -4)和拇指(OR:0.49,95% CI:0.34-0.71,P -4)骨关节炎风险降低相关。分别针对 GPD1 和 GLP1R 的二甲双胍和 GLP1-RA 与膝关节和手指骨关节炎风险的降低有关。在SMR分析中,抗糖尿病药物所针对的KCNJ11、GANAB、ABCA1和GSTP1的基因表达与至少一种骨关节炎表型有显著关联,并在至少两个基因表达数据集中得到了重复。此外,KCNJ11表达的增加与骨关节炎风险的降低有关,并与至少一种骨关节炎表型共定位:我们的研究结果表明,抗糖尿病药物在治疗骨关节炎方面具有潜在的治疗作用。研究结果表明,某些抗糖尿病药物靶点可能会改变疾病的进展,这对开发有针对性的DMOADs具有重要意义:本研究得到了上海市教委-高枫临床医学资助项目(2022)、上海市卫计委健康产业临床研究项目(批准号:20224Y0139)、北京市自然科学基金(批准号:7244458)和中国博士后科学基金博士后研究基金项目(C级)(批准号:GZC20230130)的资助。
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来源期刊
EBioMedicine
EBioMedicine Biochemistry, Genetics and Molecular Biology-General Biochemistry,Genetics and Molecular Biology
CiteScore
17.70
自引率
0.90%
发文量
579
审稿时长
5 weeks
期刊介绍: eBioMedicine is a comprehensive biomedical research journal that covers a wide range of studies that are relevant to human health. Our focus is on original research that explores the fundamental factors influencing human health and disease, including the discovery of new therapeutic targets and treatments, the identification of biomarkers and diagnostic tools, and the investigation and modification of disease pathways and mechanisms. We welcome studies from any biomedical discipline that contribute to our understanding of disease and aim to improve human health.
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