中国组织工程研究 ›› 2026, Vol. 30 ›› Issue (22): 5867-5875.doi: 10.12307/2026.135

• 组织工程相关大数据分析 Big data analysis in tissue engineering • 上一篇    下一篇

炎症细胞因子与冻结肩:来自FinnGen GWAS数据库欧洲人群的大样本分析

颜  威1,2,3,孔令军1,何天翔1,朱清广4,5,奚小冰1,2,3,房  敏1   

  1. 1上海中医药大学附属曙光医院,上海市   200021;2上海交通大学医学院附属瑞金医院,上海市   200025;3上海市中西医结合防治骨与关节病损重点实验室,上海市   200025;4上海中医药大学附属岳阳中西医结合医院,上海市   200437;5上海市中医药研究院推拿研究所,上海市   200437

  • 收稿日期:2025-04-24 接受日期:2025-08-12 出版日期:2026-08-08 发布日期:2025-12-29
  • 通讯作者: 房敏,博士,教授,上海中医药大学附属曙光医院,上海市 200021
  • 作者简介:颜威,男,1992年生,江苏省连云港市人,汉族,在读博士,主治医师,主要从事中医骨伤科学研究和慢性筋骨病的中西医结合治疗。
  • 基金资助:
    上海市卫生健康委员会中医药科研项目(2024QN110),项目负责人:颜威;上海市进一步加快中医药传承创新发展三年行动计划项目(2021-2023年)[ZY(2021-2023)-0208],项目负责人:奚小冰;上海市进一步加快中医药传承创新发展三年行动计划项目(2021-2023年) [ZY(2021-2023)-0209-03],项目负责人:奚小冰;上海市进一步加快中医药传承创新发展三年行动计划项目[ZY(2025-2027)-3-1-1],项目负责人:房敏

The relationship between inflammatory cytokines and frozen shoulder: a large-sample analysis of the European population based on the FinnGen GWAS database

Yan Wei1, 2, 3, Kong Lingjun1, He Tianxiang1, Zhu Qingguang4, 5, Xi Xiaobing1, 2, 3, Fang Min1   

  1. 1Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 200021, China; 2Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; 3Shanghai Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Treatment of Bone and Joint Diseases, Shanghai 200025, China; 4Yueyang Integrated Traditional Chinese and Western Medicine Hospital affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 200437, China; 5Tuina Research Institute of Shanghai Academy of Traditional Chinese Medicine, Shanghai 200437, China
  • Received:2025-04-24 Accepted:2025-08-12 Online:2026-08-08 Published:2025-12-29
  • Contact: Fang Min, PhD, Professor, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 200021, China
  • About author:Yan Wei, PhD candidate, Attending physician, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 200021, China; Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Shanghai Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Treatment of Bone and Joint Diseases, Shanghai 200025, China
  • Supported by:
    Scientific Research Project of Traditional Chinese Medicine, Shanghai Municipal Health Commission, No. 2024QN110 (to YW); Three-Year Action Plan Project of Shanghai Municipality to Further Accelerate the Inheritance and Innovation Development of Traditional Chinese Medicine (2021-2023), Nos. ZY(2021-2023)-0208 and ZY(2021-2023)-0209-03 (both to XXB); Three-Year Action Plan Project of Shanghai Municipality to Further Accelerate the Inheritance and Innovation Development of Traditional Chinese Medicine (2025-2027), No. ZY(2025-2027)-3-1-1 (to FM)

摘要:



文题释义:
冻结肩:是以肩关节逐渐僵硬和疼痛为主要表现,最初为疼痛的逐渐发作,随后运动范围受限,最终达到“冻结”状态,是骨伤科常见疾病之一。
孟德尔随机化:是一种基于遗传变异的因果推断方法,用于评估暴露因素与疾病或其他结局之间的因果关系。孟德尔随机化的核心原理是利用遗传变异在自然界中的随机分配特性,减少混杂因素和反向因果的影响。孟德尔随机化分析以单核苷酸多态性作为工具变量,这些单核苷酸多态性与暴露因素具有已知的因果关联,同时不直接关联于其他混杂变量或结局。 

背景:冻结肩是骨伤科常见疾病,但无特异性确诊的临床指标,炎症细胞因子与冻结肩有相当大的关联,但具体因果关系尚未明确。此研究采用全基因组关联研究的汇总统计数据进行孟德尔随机化分析,全基因组关联研究数据基于大样本遗传变异信息,可减少环境混杂因素干扰,更可靠地推断炎症细胞因子与冻结肩的因果关系,弥补传统观察性研究无法确定因果关联的局限。  
目的:运用双向双样本孟德尔随机化方法,探讨炎症细胞因子与冻结肩发病之间的因果关系。
方法:利用FinnGen数据库中全基因组关联研究的汇总统计数据,对41种炎性细胞因子和冻结肩的因果关系进行分析。FinnGen数据库由芬兰国立卫生与福利研究院(THL)、赫尔辛基大学等多家芬兰科研机构联合发起,包括2 942例病例和167 641例欧洲血统对照,整合数十万至百万级人群的基因组、临床表型和生化指标数据,支持疾病遗传关联研究。该研究基于公开可用的汇总统计数据库,无需伦理审批。采用逆方差加权法、加权中位数法、加权模型法、简单模型法、MR-Egger回归和敏感性分析(包括MR-Egger、MR-PRESSO、Cochran’s Q检验)进行双向孟德尔随机化分析。
结果与结论:单核细胞趋化蛋白3在正反两个方向上均具有显著的因果效应。在正向分析中,单核细胞趋化蛋白3与冻结肩风险呈正相关(OR=1.176,95%CI:1.034-1.338,P=0.014);在反向分析中,冻结肩与单核细胞趋化蛋白3水平呈负相关(OR=0.782,95%CI:0.625-0.979,P=0.032)。此外,发现肿瘤坏死因子β与冻结肩风险之间有显著关联(OR=1.126,95%CI:1.002-1.264,P=0.046);在反向分析中,基质细胞衍生因子1α与冻结肩风险之间也有显著关联(OR=1.1,95%CI:1.011-1.196,P=0.028),表明肿瘤坏死因子β、基质细胞衍生因子1α与冻结肩存在可靠的相关性。此双向孟德尔随机化研究揭示了单核细胞趋化蛋白3与冻结肩之间的复杂相互作用,提示单核细胞趋化蛋白3可能作为一个潜在的治疗靶点。此外,研究还表明肿瘤坏死因子β与冻结肩风险相关,可能是冻结肩潜在的风险因子;而冻结肩亦与基质细胞衍生因子1α水平升高相关,基质细胞衍生因子1α具备成为冻结肩诊断标志物的潜力。但还需进一步研究以阐明这些因果关系背后的生物学机制。此外国际数据库的分析为中国研究提供了候选分子和因果推断范式,但需结合本土数据实现精准转化。

https://orcid.org/0000-0002-4353-7970 (颜威) 


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: 冻结肩, 炎症细胞因子, 单核细胞趋化蛋白3, 基质细胞衍生因子1α, 孟德尔随机化分析

Abstract: BACKGROUND: Frozen shoulder is a common disease in orthopedics, but there is no specific clinical indicator for diagnosis. There is a significant association between inflammatory cytokines and frozen shoulder, but the specific causal relationship is not yet clear. This study used summary statistical data from genome-wide association studies (GWAS) for Mendelian randomization analysis. GWAS data are based on large-sample genetic variation information, which can reduce environmental confounding factors and more reliably infer the causal relationship between inflammatory cytokines and frozen shoulder, filling the limitations of traditional observational studies that cannot determine causal relationships.
OBJECTIVE: To explore the causal relationship between inflammatory cytokines and frozen shoulder using bidirectional two-sample Mendelian randomization method.
METHODS: Using the summary statistical data of GWAS in the FinnGen database, the causal relationship between 41 inflammatory cytokines and frozen shoulder was analyzed. The FinnGen database is a collaborative initiative launched by the Finnish Institute for Health and Welfare (THL), the University of Helsinki, and other Finnish research institutions. It comprises 2 942 case samples and 167 641 controls of European ancestry, integrating genomic data, clinical phenotypes, and biochemical indicators from hundreds of thousands to millions of individuals. This resource supports genetic association studies for various diseases. This study was based on publicly accessible summary-level data and exempt from ethical review. Bidirectional Mendelian randomization analysis was performed using inverse variance weighting, weighted median, weighted model, simple model, MR-Egger regression, and sensitivity analysis (including MR-Egger, MR-PRESSO, Cochran’s Q test).
RESULTS AND CONCLUSION: Monocyte chemotactic protein 3 has significant causal effects in both positive and negative directions. In positive analysis, monocyte chemoattractant protein 3 was positively correlated with frozen shoulder risk [odds ratio (OR)=1.176, 95% confidence interval (CI): 1.034-1.338, P=0.014]; in reverse analysis, frozen shoulder was negatively correlated with monocyte chemoattractant protein 3 levels (OR=0.782, 95% CI: 0.625-0.979, P=0.032). In addition, a significant association was found between tumor necrosis factor β and the risk of frozen shoulder (OR=1.126, 95% CI: 1.002-1.264, P=0.046); in reverse analysis, stromal cell-derived factor 1α also showed a significant association with the risk of frozen shoulder (OR=1.1, 95% CI: 1.011-1.196, P=0.028), indicating a reliable correlation between tumor necrosis factor β, stromal cell-derived factor 1α, and frozen shoulder. This bidirectional Mendelian randomization study revealed the complex interaction between monocyte chemoattractant protein 3 and frozen shoulder, suggesting that monocyte chemoattractant protein 3 may be a potential therapeutic target. In addition, tumor necrosis factor β has been shown to be associated with the risk of frozen shoulder and may be a potential risk factor for frozen shoulder. And frozen shoulder is also associated with elevated levels of stromal cell-derived factor 1α, which has the potential to become a diagnostic biomarker for frozen shoulder. However, further research is needed to elucidate the biological mechanisms behind these causal relationships. Furthermore, the analysis of international databases provides candidate molecules and causal inference paradigms for Chinese research, but precise translation needs to be achieved in combination with local data.

Key words: frozen shoulder, inflammatory cytokines, monocyte chemotactic protein 3, stromal cell-derived factor 1α, Mendelian randomization analysis

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