中国组织工程研究 ›› 2026, Vol. 30 ›› Issue (17): 4508-4516.doi: 10.12307/2026.090

• 组织构建相关数据分析 Date analysis of organization construction • 上一篇    下一篇

降脂药物靶点对骨坏死风险的预防作用:基于FinnGen与GLGC数据库遗传信息分析

李  威1,柴金莲2,张博淳1,李广政3,刘晓晨3,魏传付1,陈  宁3,骆  帝1,4,李  刚1,4,梁学振1,4   

  1. 山东中医药大学,1第一临床医学院,2药学院,3中医学院,山东省济南市   250355;4山东中医药大学附属医院显微骨科,山东省济南市   250014

  • 收稿日期:2025-03-14 接受日期:2025-06-06 出版日期:2026-06-18 发布日期:2025-12-04
  • 通讯作者: 梁学振,博士,副教授,硕士生导师,山东中医药大学第一临床医学院,山东省济南市 250355;山东中医药大学附属医院显微骨科,山东省济南市 250014
  • 作者简介:李威,男,2001年生,山东省菏泽市人,汉族,山东中医药大学在读硕士,主要从事中医骨伤科学方面的研究。
  • 基金资助:
    国家自然科学基金项目(82205154),项目负责人:梁学振;国家自然科学基金项目(82204453),项目负责人:李刚;山东省自然科学基金青年项目(ZR2021QH004),项目负责人:梁学振; 山东省自然科学基金项目(ZR2024MH156),项目负责人:梁学振

Preventive effect of lipid-lowering drug targets on the risk of osteonecrosis: genetic information analysis based on the FinnGen and GLGC databases

Li Wei1, Chai Jinlian2, Zhang Bochun1, Li Guangzheng3, Liu Xiaochen3, Wei Chuanfu1, Chen Ning3, Luo Di1, 4, Li Gang1, 4, Liang Xuezhen1, 4   

  1. 1First College of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250355, Shandong Province, China; 2College of Pharmacy, 3College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250355, Shandong Province, China; 4Department of Orthopedic Microsurgery, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250014, Shandong Province, China
  • Received:2025-03-14 Accepted:2025-06-06 Online:2026-06-18 Published:2025-12-04
  • Contact: Liang Xuezhen, MD, Associate professor, Master’s supervisor, First College of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250355, Shandong Province, China; Department of Orthopedic Microsurgery, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250014, Shandong Province, China
  • About author:Li Wei, MS candidate, First College of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250355, Shandong Province, China
  • Supported by:
    the National Natural Science Foundation of China, Nos. 82205154 (to LXZ) and 82204453 (to LG); Shandong Provincial Natural Science Foundation for the Youth, No. ZR2021QH004(to LXZ); Shandong Provincial Natural Science Foundation, No. ZR2024MH156 (to LXZ)

摘要:


文题释义:
孟德尔随机化:是一种利用遗传变异作为工具变量的因果推断方法,能够有效减少传统观察性研究中的混杂偏倚和反向因果干扰。
HMGCR抑制剂:HMGCR抑制剂(如他汀类药物)通过抑制胆固醇合成途径中的限速酶,降低低密度脂蛋白胆固醇水平。

背景:骨坏死是临床常见的难治性疾病,给患者生活带来极大困扰,也给医疗体系造成沉重负担。研究表明降脂药可能对骨坏死预后有一定的改善作用,然而具体的降脂药靶点与骨坏死的因果关联尚未可知。
目的:通过孟德尔随机化和Meta分析探索低密度脂蛋白、降脂药物(HMGCR抑制剂、PCSK9抑制剂和NPC1L1抑制剂)与骨坏死之间的因果
关系。
方法:①从全球血脂遗传学联合会成果(GLGC)数据库中下载HMGCR基因(5号染色体:74632154-74657929)、PCSK9 基因(1号染色体:55505221-55530525)以及 NPC1L1基因(7号染色体:44552134-44580914)作为降脂药物暴露的工具变量,从FinnGen数据库获取骨坏死相关数据,包括R9版本(共359 399样本量:1 385例病例和358 014例对照)、R10版本(共392 580样本量:1 543例病例和391 037例对照)和R11版本(共431 369样本量:1 543例病例和429 826例对照)。同时选取低密度脂蛋白作为生物标志物。②运用双样本孟德尔随机化分析方法,评估降脂药物暴露与骨坏死之间的因果关系,并借助 LDlink去除可能影响骨坏死发病机制的混杂因素。③采用MR-Egger、加权中位数、逆方差加权法和加权模式这4种方法检测降脂药物暴露与骨坏死之间的因果关系,其中将逆方差加权法作为主要分析方法。④为全面综合评估降脂药物与骨坏死之间的关联性,进一步针对逆方差加权法得出的OR值结果展开Meta分析。⑤最后,为确保研究结果具备稳健性与可信度,采用Q检验评估异质性,利用MR-Egger回归评估水平多效性,并针对阳性结果开展贝叶斯共定位分析。⑥研究还选取冠心病作为阳性对照,通过将其作为结局因素进行孟德尔随机化分析,以此确定工具变量的可靠性。
结果与结论:①孟德尔随机化分析结果显示,针对骨坏死不同版本数据,HMGCR抑制剂与骨坏死的关系呈现出多样化特征。在R9版本数据中,HMGCR抑制剂降低骨坏死患病风险效果显著(逆方差加权法:OR=0.24,95%CI:0.08-0.71;P=0.009);R10 版本数据得出相似结论(逆方差加权法:OR=0.29,95%CI:0.10-0.86;P=0.025);而在R11版本数据中,二者无明显因果关系(P=0.09 > 0.05)。②NPC1L1抑制剂、PCSK9抑制剂和低密度脂蛋白在骨坏死R9、R10和R11版本数据中均未显示出与骨坏死存在明显因果关系。对HMGCR抑制剂逆方差加权法结果的Meta分析进一步证实,HMGCR抑制剂能显著降低骨坏死患病风险(OR=0.3,95%CI:0.16-0.56)。③敏感性分析未发现异质性或遗传混杂偏倚的统计学证据,贝叶斯共定位分析显示,H4/(H4+H3)后验概率超90%,意味着HMGCR抑制剂与骨坏死之间的因果关系并非偶然。④经孟德尔随机化和Meta分析证实,HMGCR 抑制剂与降低骨坏死患病风险存在显著因果关联,表明现有 HMGCR抑制剂有望成为骨坏死防治的关键靶点,为众多骨坏死患者带来新的治疗选择,但后续仍需深入开展临床研究进行验证。

https://orcid.org/0000-0001-5649-4212(梁学振);https://orcid.org/0009-0001-2139-0840(李威)


中国组织工程研究杂志出版内容重点:干细胞;骨髓干细胞;造血干细胞;脂肪干细胞;肿瘤干细胞;胚胎干细胞;脐带脐血干细胞;干细胞诱导;干细胞分化;组织工程

关键词: 骨坏死, 降脂药, 孟德尔随机化, Meta分析, HMGCR抑制剂, PCSK9抑制剂, NPC1L1抑制剂

Abstract: BACKGROUND: Osteonecrosis is a common and refractory disease in clinical practice, which brings great distress to the patients' lives and also imposes a heavy burden on the medical system. Some observational studies have shown that lipid-lowering drugs may have a certain promoting effect on the prognosis of osteonecrosis. However, the causal relationship between the specific targets of lipid-lowering drugs and osteonecrosis remains unknown.
OBJECTIVE: To explore the causal relationships between low-density lipoprotein, lipid-lowering drugs [3-hydroxy-3-methylglutaryl-coenzyme A reductase (HMGCR) inhibitors, PCSK9 inhibitors, and NPC1L1 inhibitors] and osteonecrosis through Mendelian randomization and Meta-analysis.
METHODS: (1) The study first downloaded the HMGCR gene (Chromosome 5: 74632154-74657929), PCSK9 gene (Chromosome 1: 55505221-55530525), and NPC1L1 gene (Chromosome 7: 44552134-44580914) from the Global Lipids Genetics Consortium (GLGC) database as instrumental variables for lipid-lowering drug exposure. Osteonecrosis-related data were obtained from the FinnGen database, including Version R9 (with a total sample size of 359 399: 1 385 cases and 358 014 controls), Version R10 (with a total sample size of 392 580: 1 543 cases and 391 037 controls), and Version R11 (with a total sample size of 431 369: 1 543 cases and 429 826 controls). Meanwhile, low-density lipoprotein was selected as the biomarker for this study. (2) The two-sample Mendelian randomization analysis method was used to evaluate the causal relationship between lipid-lowering drug exposure and osteonecrosis. And LDlink was used to remove confounding factors that might affect the pathogenesis of osteonecrosis. (3) Four methods, namely MR-Egger, weighted median, inverse-variance weighting (IVW), and weighted mode, were employed to detect the causal relationship between lipid-lowering drug exposure and osteonecrosis. The IVW method was used as the primary analysis method. (4) To comprehensively and comprehensively evaluate the association between lipid-lowering drugs and osteonecrosis, a meta-analysis was further conducted on the odds ratio (OR) values obtained from the IVW method. (5) Finally, to ensure the robustness and reliability of the research results, this study used the Q test to evaluate heterogeneity, MR-Egger regression to evaluate horizontal pleiotropy, and Bayesian colocalization analysis for positive results. (6) The study also selected coronary heart disease as a positive control. By conducting Mendelian randomization analysis with it as the outcome factor, the reliability of the instrumental variables was determined.
RESULTS AND CONCLUSION: (1) The results of the Mendelian randomization analysis showed that the relationship between HMGCR inhibitors and osteonecrosis exhibited diverse characteristics across different versions of osteonecrosis data. In the R9 version data, HMGCR inhibitors were significantly effective in reducing the risk of osteonecrosis (IVW: OR=0.24, 95% confidence interval [CI]: 0.08-0.71; P=0.009). Similar conclusions were drawn from the R10 version data (IVW: OR=0.29, 95% CI: 0.10-0.86; P=0.025). However, in the R11 version data, there was no obvious causal relationship between them (P=0.09 > 0.05). (2) Neither NPC1L1 inhibitors, PCSK9 inhibitors, nor low-density lipoprotein showed an obvious causal relationship with osteonecrosis in the R9, R10, and R11 version data of osteonecrosis. The meta-analysis of the IVW results for HMGCR inhibitors further confirmed that they could significantly reduce the risk of osteonecrosis (OR=0.3, 95% CI: 0.16-0.56). (3) The sensitivity analysis did not find statistical evidence of heterogeneity or genetic confounding bias. The Bayesian colocalization analysis showed that the posterior probability of H4/(H4+H3) exceeded 90%, indicating that the causal relationship between HMGCR inhibitors and osteonecrosis was not accidental. (4) This study, through Mendelian randomization and meta-analysis, confirmed that there was a significant causal association between HMGCR inhibitors and the reduction of the risk of osteonecrosis. This suggests that existing HMGCR inhibitors are expected to become key targets for the prevention and treatment of osteonecrosis, bringing new treatment options for many patients with osteonecrosis. However, further in-depth clinical studies are still needed for verification.

Key words: osteonecrosis, lipid-lowering drugs, Mendelian randomization, meta-analysis, HMGCR inhibitors, PCSK9 inhibitors, NPC1L1 inhibitors

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