目的:本研究旨在探讨中国西北汉族人群DPF3基因单核苷酸多态性(SNPs)与肺结核(PTB)易感性的关系。
方法:使用AgenaMassARRAY对来自488名PTB患者和488名健康对照的4个DPF3SNP(rs10140566、rs75575287、rs202075571和rs61986330)进行基因分型。使用逻辑回归计算赔率(OR)和95%置信区间(CI)。采用多因素降维(MDR)分析来研究SNP-SNP相互作用对PTB风险的影响。使用R软件分析GSE54992数据集以确定DPF3表达水平。
结果:总体分析显示rs202075571(等位基因:OR=1.31,p=0.015;CCvs.TT:OR=1.97,p=0.049;显性:OR=1.33,p=0.032)和rs61986330(等位基因:OR=1.38,p=0.010;CAvs.CC:OR=1.35,p=0.044;显性:OR=1.40,p=0.019)与PTB风险增加相关。分层分析显示rs10140566是女性PTB的危险因素,年龄≤40岁和不吸烟者,rs202075571与年龄>40岁和吸烟者的PTB风险相关,rs61986330与男性的PTB风险相关,年龄>40岁和吸烟者。四个SNP模型显示了PTB风险的显着预测潜力。此外,与健康对照相比,DPF3在PTB中表现出更高的表达。
结论:DPF3多态性(rs10140566、rs202075571和rs61986330)与PTB风险增加相关,为PTB的机制提供有价值的新见解。
OBJECTIVE: This study aimed to investigate the association between single nucleotide polymorphisms (SNPs) in
DPF3 and susceptibility to pulmonary tuberculosis (PTB) in the Northwest Chinese Han population.
METHODS: Genotyping of four
DPF3 SNPs (rs10140566, rs75575287, rs202075571, and rs61986330) was performed using Agena MassARRAY from 488 PTB patients and 488 healthy controls. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using logistic regression. Multifactor dimensionality reduction (MDR) analysis was employed to investigate the effect of SNP-SNP interactions on PTB risk. The GSE54992 dataset was analyzed using R software to ascertain
DPF3 expression levels.
RESULTS: Overall analysis revealed that rs202075571 (allele: OR = 1.31, p = 0.015; CC vs. TT: OR = 1.97, p = 0.049; dominant: OR = 1.33, p = 0.032) and rs61986330 (allele: OR = 1.38, p = 0.010; CA vs. CC: OR = 1.35, p = 0.044; dominant: OR = 1.40, p = 0.019) were associated with an increased PTB risk. Stratified analysis showed that rs10140566 was a PTB risk factor in females, those aged ≤40 and non-smokers, and rs202075571 was associated with PTB risk in individuals aged >40 and smokers, and rs61986330 was associated with PTB risk in males, those aged >40 and smokers. The four SNPs model demonstrated significant predictive potential for PTB risk. Furthermore,
DPF3 exhibited higher expression in PTB compared to healthy controls.
CONCLUSIONS: DPF3 polymorphisms (rs10140566, rs202075571, and rs61986330) are associated with an increased risk of PTB, providing valuable new insights into the mechanism of PTB.