机构地区:[1]南阳医学高等专科学校第三附属医院眼科,河南省南阳市473000
出 处:《医学理论与实践》2025年第4期555-558,563,共5页The Journal of Medical Theory and Practice
摘 要:目的:探究微小RNA-146a(miR-146a)、转化生长因子-β1(TGF-β1)、血管内皮生长因子(VEGF)与湿性年龄相关性黄斑变性(wAMD)的相关性。方法:前瞻性选取2022年2月—2023年12月眼科收治的wAMD患者110例为病例组,按病情程度将110例患者分为早期组(32例)、中期组(62例)与晚期组(16例)。另按2∶1比例选择同期体检眼部检查健康者55例为对照组。比较各组miR-146a、TGF-β1、VEGF水平差异,通过二元logistic回归分析wAMD影响因素,通过受试者工作曲线(ROC)分析miR-146a、TGF-β1、VEGF水平诊断wAMD与评估病情的价值,并分析miR-146a、TGF-β1与VEGF相关性。结果:各组血清miR-146a、TGF-β1、VEGF比较存在统计学差异(P<0.05)。TGF-β1、VEGF:晚期组>中期组>早期组>对照组,miR-146a:晚期组<中期组<早期组<对照组(P<0.05)。二元logistic回归分析显示,miR-146a、TGF-β1、VEGF均为wAMD影响因素(P<0.05)。ROC曲线分析显示,miR-146a、TGF-β1、VEGF诊断wAMD的AUC分别为0.842、0.857、0.909;诊断敏感度、特异度:miR-146a为76.4%、89.1%,TGF-β1为78.2%、81.8%,VEGF为80.0%、100.0%。miR-146a、TGF-β1、VEGF评估wAMD病情的AUC分别为0.761、0.794、0.872;评估敏感度、特异度:miR-146a为100.0%、51.1%,TGF-β1为100.0%、52.1%,VEGF为100.0%、67.0%。Spearman相关性分析显示:miR-146a与VEGF呈负相关(r=-0.689,P<0.05),TGF-β1与VEGF呈正相关(r=0.679,P<0.05)。结论:wAMD患者血清中miR-146a低表达,TGF-β1、VEGF高表达,miR-146a、TGF-β1、VEGF可作为wAMD诊断与评估病情有效指标,且miR-146a、TGF-β1与VEGF均具有相关性。Objective:Explore micro RNA-146a(miR-146a),Vascular endothelial growth factor(VEGF)and transforming growth factor-β1(TGF-β1)is associated with wet age-related macular degeneration(wAMD).Methods:Prospectively select 110 patients with wAMD admitted to the ophthalmology department of our hospital from February 2022 to December 2023 as the case group.According to the degree of illness,110 patients were divided into early group(32 cases),middle group(62 cases)and late group(16 cases).In addition,55 healthy people in the same period were selected as the control group according to the 2∶1 ratio.Compare the differences in levels of miR-1461,TGF-β1,and VEGF among different groups,analyze the influencing factors of wAMD through binary logistic regression,evaluate the diagnostic value of miR-1461,TGF-β1,and VEGF levels in wAMD and assess the disease through receiver operating characteristic(ROC)curve analysis,and analyze the correlation between miR-1461,TGF-β1,and VEGF.Results:Serum miR-146a,TGF-β1,VEGF in each group were statistically different(P<0.05).TGF-β1,VEGF in late group>middle group>early group>control group,miR-146a in late group<middle group<early group<control group(P<0.05).Binary logistic regression analysis shows that miR-146a,TGF-β1,VEGF were the influencing factor of wAMD(P<0.05).ROC curve analysis showed that the AUC values of miR-146a,TGF-β1,and VEGF for diagnosing wAMD were 0.842,0.857,and 0.909,respectively.Diagnostic sensitivity and specificity:76.4%and 89.1% for miR-146a,78.2% and 81.8%for TGF-β1,80.0% and 100.0% for VEGF.The AUC values of miR-146a,TGF-β1,and VEGF for evaluating wAMD disease were 0.761,0.794,and 0.872,respectively.Evaluation sensitivity and specificity:100.0% and 51.1%for miR-146a,100.0% and 52.1% for TGF-β1,100.0% and 67.0% for VEGF.Spearman correlation analysis showed that miR-146a were negatively correlated with VEGF(r=-0.689,P<0.05),TGF-β1 were positively correlated with VEGF(r=0.679,P<0.05).Conclusion:Low expression of miR-146a in serum of wAMD patients,TGF-β1,VEGF
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