School of Medicine, Xi'an Jiaotong University, Xi'an, China.
Second department of Orthopedics, The affiliated Xi'an Central Hospital of Xi'an Jiaotong, University College of Medicine, Xi'an, China.
Sci Rep. 2024 Nov 24;14(1):29118. doi: 10.1038/s41598-024-80697-4.
Spinal stenosis is a commonly chronic spinal degenerative disease, which is a major cause of pain and dysfunction in the elderly. Mendelian randomization (MR) has been widely applied to repurpose licensed drugs and identify novel therapeutic targets. Consequently, we intended to identify new therapeutic targets for spinal stenosis and to analyze their possible mechanisms and potential side effects.We conducted the Mendelian randomization analysis to identify potential drug targets for the management of spinal stenosis. Cis-expressed quantitative trait loci (cis-eQTL) data as genetic instrumental variables were acquired from the eQTLGen consortium. The summary statistics for single nucleotide polymorphism (SNP) associations of spinal stenosis were obtained from the FinnGen study(20,807 cases and 294,770 controls). Co-localization analysis was performed to determine whether there was shared causal variation between the SNPs associated with spinal stenosis as well as the eQTL. Multiple external validations were performed to reinforce the reliability and stability of the findings utilizing the cis-eQTL from the GTEx portal, the Ferkingstad et al. pQTL dataset, and the Sun et al. pQTL dataset. The viability of the identified drug targets for future clinical applications was elucidated through the phenome-wide association study and drug candidate prediction. Three drug targets (BMP6, DLK1, and GFPT1) exhibited significant causal associations with spinal stenosis in the eQTLGen cohort by MR analysis, which was strongly supported by the results of the co-localization analysis. The causal association of DLK1 and GFPT1 with spinal stenosis remained remarkable with multiple external validations. Multivariate MR and phenome-wide association study analysis indicated that both targets were not associated with other traits. In addition, phenome-wide association study analysis and drug prediction analysis demonstrated the potential of these two targets for future clinical applications. In this study, DLK1 and GFPT1 were identified as promising novel therapeutic targets for spinal stenosis, providing initial genetic insights for drug development in spinal stenosis.
椎管狭窄症是一种常见的慢性脊柱退行性疾病,是老年人疼痛和功能障碍的主要原因。孟德尔随机化(MR)已广泛应用于重新定位已许可药物和确定新的治疗靶点。因此,我们旨在确定治疗椎管狭窄症的新治疗靶点,并分析其可能的机制和潜在的副作用。
我们进行了孟德尔随机化分析,以确定治疗椎管狭窄症的潜在药物靶点。从 eQTLGen 联盟获得顺式表达数量性状基因座(cis-eQTL)数据作为遗传工具变量。从 FinnGen 研究(20807 例病例和 294770 例对照)中获得与椎管狭窄症相关的单核苷酸多态性(SNP)关联的汇总统计数据。进行共定位分析以确定与椎管狭窄症相关的 SNP 以及顺式-eQTL 之间是否存在共享因果变异。利用 GTEx 门户、Ferkingstad 等人的 pQTL 数据集和 Sun 等人的 pQTL 数据集的 cis-eQTL 进行了多次外部验证,以加强发现结果的可靠性和稳定性。通过表型全基因组关联研究和候选药物预测,阐明了所鉴定药物靶点未来临床应用的可行性。
通过 MR 分析,在 eQTLGen 队列中,三个药物靶点(BMP6、DLK1 和 GFPT1)与椎管狭窄症存在显著的因果关联,共定位分析结果强烈支持了这一结果。DLK1 和 GFPT1 与椎管狭窄症的因果关联在多次外部验证中仍然显著。多变量 MR 和表型全基因组关联研究分析表明,这两个靶点均与其他特征无关。此外,表型全基因组关联研究分析和药物预测分析表明了这两个靶点未来临床应用的潜力。
在这项研究中,DLK1 和 GFPT1 被确定为治疗椎管狭窄症的有前途的新治疗靶点,为椎管狭窄症的药物开发提供了初步的遗传见解。