双向双样本的门德尔随机化分析揭示了炎症性细胞因子和糖尿病病风险之间的因果关系
Siyuan Song1,2,3, Qianhua Yan4,5,6, Jiangyi Yu7,8,9
1Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, Jiangsu Province, China.
Scientific reports
|October 25, 2024
概括
这项研究使用了门德尔的随机化来研究炎症性细胞因子和糖尿病病 (DN) 之间的因果关系. 关键发现显示TNFSF14和TRANCE与DNA风险有积极联系,而IL-1α,TGF-α和GDNF与DNA风险有负面联系.
科学领域:
- 遗传学和分子生物学
- 免疫学 免疫学 免疫学
- 内分泌学 在内分泌学.
背景情况:
- 观察性研究表明,在2型糖尿病 (T2DM) 中,炎症性细胞因子和糖尿病病 (DN) 之间存在联系.
- 特定的炎症性细胞因子和DN之间的因果关系仍然不确定.
- 了解这些因果关系对于开发针对DN的向治疗至关重要.
研究的目的:
- 用双向双样本孟德尔随机化 (MR) 来评估91种炎症性细胞因子和DN之间的因果关系.
- 确定特定的炎症性细胞因子,这些细胞因子会影响DN的发展或进展.
- 提供强有力的证据,证明炎症在DN病变发生中的作用.
主要方法:
- 利用DN的全基因组关联研究 (GWAS) 和炎症性细胞因子的蛋白质定量特征位置 (pQTL) 的总结统计数据.
- 采用逆方差加权 (IVW) 方法作为主要的分析方法.
- 使用MR-Egger回归,加权模式和加权中位数方法进行敏感性分析,以确保稳定性并评估异质性和性.
主要成果:
- 在欧洲祖先中,发现了瘤亡因子连接物超级家族成员14 (TNFSF14) 和与TNF相关的激活诱导的细胞因子 (TRANCE) 的积极因果关联.
- 对于欧洲祖先的DN,观察到interleukin-1-alpha (IL-1α) 和转化生长因子-alpha (TGF-α) 的负因果关联.
- 在东亚祖先中,与DN相关的质细胞系衍生神经变因子 (GDNF) 发现了负因果关联,没有显著的异质性或水平变性.
结论:
- 核磁共振分析证实了特定的炎症性细胞因子和糖尿病病之间的因果关系.
- 这些发现提供了对DN背后的炎症机制的关键见解.
- 这项研究为未来针对DN的研究和治疗策略提供了宝贵的参考.
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