Dai Jinwei, Sun Nianzhe, Xu Wenye, Zuo Zhihong, Pang Xiaoyang, Qian Zhaoxin
Shock. 2025 Oct 1;64(4):380-385. doi: 10.1097/SHK.0000000000002644. Epub 2025 Jul 10.
Background : Drug-induced anaphylactic shock (DIAS) remained a critical clinical challenge due to increased drug use and novel hypersensitivity mechanisms. The role of circulating inflammatory proteins in DIAS remained unclear. Methods: We applied multivariable Mendelian randomization (MR) to explore the associations between specific inflammatory proteins and DIAS, drawing on recent findings from genome-wide association studies. Circulating inflammatory protein data were obtained from a cohort of European ancestry comprising 14,824 samples, while data on DIAS were sourced from the FinnGen consortium, including 20,806 cases and 411,845 controls. To strengthen our findings, we conducted complementary analyses such as colocalization (COLOC), enrichment studies, drug screening, and molecular docking. Results: MR analysis identified significant associations between inflammatory proteins and DIAS. CD40L exhibited a protective effect (OR = 0.69, 95% CI: 0.4951-0.9578, P = 0.027) and high colocalization probability (58%). CXCL10 (OR = 1.51, 95% CI: 1.0075-2.2549, P = 0.046) and CCL3 (OR = 2.08, 95% CI: 1.0079-4.3072, P = 0.048) significantly increased risk. Drug screening and enrichment analyses further elucidated underlying molecular mechanisms. Conclusions : This study identified novel associations between inflammatory proteins and the risk of anaphylaxis, providing insights for targeted prediction and therapeutic strategies.
由于药物使用增加和新的超敏反应机制,药物性过敏性休克(DIAS)仍然是一个严峻的临床挑战。循环炎症蛋白在DIAS中的作用尚不清楚。方法:我们应用多变量孟德尔随机化(MR)来探讨特定炎症蛋白与DIAS之间的关联,借鉴全基因组关联研究的最新发现。循环炎症蛋白数据来自一个包含14,824个样本的欧洲血统队列,而DIAS数据来自芬兰基因联盟,包括20,806例病例和411,845例对照。为了加强我们的发现,我们进行了互补分析,如共定位(COLOC)、富集研究、药物筛选和分子对接。结果:MR分析确定了炎症蛋白与DIAS之间的显著关联。CD40L表现出保护作用(OR = 0.69,95% CI:0.4951 - 0.9578,P = 0.027)和高共定位概率(58%)。CXCL10(OR = 1.51,95% CI:1.0075 - 2.2549,P = 0.046)和CCL3(OR = 2.08,95% CI:1.0079 - 4.3072,P = 0.048)显著增加风险。药物筛选和富集分析进一步阐明了潜在的分子机制。结论:本研究确定了炎症蛋白与过敏反应风险之间的新关联,为靶向预测和治疗策略提供了见解。