[1]邹 雪,刘 博,张婷婷,等.血清代谢物组学水平与咳嗽变异性哮喘发病风险因果关系的孟德尔随机化分析研究[J].现代检验医学杂志,2026,41(03):142-145+166.[doi:10.3969/j.issn.1671-7414.2026.03.025]
　ZOU Xue,LIU Bo,ZHANG Tingting,et al.Mendelian Randomization Analysis on the Causal Relationship between Serum Metabolomics Levels and the Risk of Cough Variant Asthma[J].Journal of Modern Laboratory Medicine,2026,41(03):142-145+166.[doi:10.3969/j.issn.1671-7414.2026.03.025]
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血清代谢物组学水平与咳嗽变异性哮喘发病风险因果关系的孟德尔随机化分析研究()

《现代检验医学杂志》[ISSN:/CN:]

卷:
第41卷
期数:
2026年03期
页码:
142-145+166
栏目:
论著
出版日期:
2026-05-13

文章信息/Info

Title:
Mendelian Randomization Analysis on the Causal Relationship between Serum Metabolomics Levels and the Risk of Cough Variant Asthma
文章编号:
1671-7414（2026）03-142-05
作者:
邹 雪，刘 博，张婷婷，满益娟，张宝昕
河北省沧州中西医结合医院呼吸科，河北沧州 061000
Author(s):
ZOU Xue，LIU Bo，ZHANG Tingting，MAN Yijuan，ZHANG Baoxin
Department of Respiratory Medicine, Cang-Zhou Hospital of Integrated Traditional Chinese and Western Medicine in Hebei, Hebei Cangzhou 061000, China
关键词:
代谢物组学; 咳嗽变异性哮喘; 孟德尔随机化
分类号:
R562.25；R446
DOI:
10.3969/j.issn.1671-7414.2026.03.025
文献标志码:
A
摘要:
目的?利用孟德尔随机化（MR）分析血清代谢物组学水平与咳嗽变异性哮喘（CVA）发病风险的因果关系，为评估个体CVA发病风险提供依据。方法以血清代谢物为暴露因素，CVA为结局指标，采用全基因组关联分析（GWAS）对1400种代谢物及代谢物比值进行评估，使用MR预测血清代谢物组学水平与CVA发病风险的因果关系，采用MR-Egger回归进行异质性、水平多效性、敏感度分析，并针对可能与CVA发病风险存在因果关系的血清代谢物进行代谢途径分析。结果MR分析得到78种可能与CVA存在因果关系的血清代谢物及比值，且遗传工具变量均F＞10，其中γ-谷氨酰-瓜氨酸经Bonferroni法校正后差异仍具有统计学意义（P<3.57×10-5）。MR-Egger回归分析显示，γ-谷氨酰-瓜氨酸无异质性或水平多效性。代谢途径分析显示，羧酸合成过程、有机酸合成过程、羧酸代谢过程、酰胺代谢过程、氨基酸代谢过程可能是影响CVA的代谢途径（均P<0.05）。结论部分血清代谢物与CVA发病风险存在因果关系，其中γ-谷氨酰-瓜氨酸升高可能降低了CVA的发病风险。羧酸合成过程、有机酸合成过程、羧酸代谢过程、酰胺代谢过程、氨基酸代谢过程可能是影响CVA发病的代谢途径。
Abstract:
Objective To analyze the causal relationship between serum metabolomics levels and the risk of developing cough vari-ant asthma (CVA) using Mendelian Randomization (MR), thereby providing a basis for assessing an individual’s risk of developing CVA. Methods Using serum metabolites as exposure factors and CVA as the outcome indicator, a genome-wide association study (GWAS) was used to evaluate 1 400 metabolites and metabolite ratios. MR was applied to predict the causal relationship between serum metabolomic levels and CVA onset risk. MR-Egger regression was used for heterogeneity, horizontal pleiotropy, and sensitiv-ity analyses. Metabolic pathway analysis was conducted for serum metabolites that may have a causal relationship with CVA onset risk. Results MR analysis identified 78 serum metabolites and ratios that may have a causal relationship with CVA, and all genetic instrumental variables had F>10, among which γ-glutamyl-citrulline remained statistically significant causal effect on CVA after Bonferroni correction (P<3.57×10-5). MR-Egger regression analysis showed that γ-glutamyl-citrulline had no heterogeneity or horizontal pleiotropy. Metabolic pathway analysis revealed that the carboxylic acid synthesis process, organic acid synthesis process, carboxylic acid metabolism process, amide metabolism process, and amino acid metabolism process may be metabolic pathways in-fluencing CVA (all P<0.10). Conclusions A causal relationship exists between certain serum metabolites and the risk of CVA, with elevated γ-glutamyl-citrulline potentially reducing the risk of CVA. Carboxylic acid synthesis, organic acid synthesis, carboxylic acid metabolism, amide metabolism, and amino acid metabolism may be metabolic pathways influencing the onset of CVA.

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备注/Memo

备注/Memo:
基金项目：河北省中医药管理局科研计划项目（2021317）。
作者简介：邹雪（1990-），女，本科，主管护师，研究方向：咳嗽变异性哮喘，E-mail：zx_83877@sina.com。
更新日期/Last Update: 2026-05-15