| 基于NLRP3基因多态性和SVM模型构建大动脉粥样硬化型缺血性脑卒中预测模型 |
| 投稿时间：2025-01-08 修订日期：2025-02-27 点此下载全文 |
| 引用本文：开赛·艾尼瓦尔,谢孟岐,刘梽颍,曹祯,戴芳芳,余博文,王晓蓓.基于NLRP3基因多态性和SVM模型构建大动脉粥样硬化型缺血性脑卒中预测模型[J].医学研究杂志,2025,54(7):103-108 |
| DOI：
10.11969/j.issn.1673-548X.2025.07.019 |
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| 基金项目:新疆维吾尔自治区自然科学基金资助项目(2021D01C376) |
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| 中文摘要:目的 本研究基于NOD样受体热蛋白结构域相关蛋白3(NOD-like receptor thermal protein domain associated protein 3, NLRP3)基因多态性与支持向量机(support vector machine, SVM)模型,构建大动脉粥样硬化(large artery atherosclerosis, LAA)型缺血性脑卒中预测模型并评估其效能。方法 选取84例LAA型脑梗死患者和84例健康对照作为研究对象,检测NLRP3基因rs10159239、rs10754558、rs12143966、rs3806265位点的多态性,构建SVM模型,并通过受试者工作特征(receiver operating characteristic,ROC)曲线评估模型性能。结果 病例组和对照组NLRP3基因多态性位点的基因型和等位基因频数比较,差异有统计学意义(P＜0.05)。SVM模型在训练集和测试集上的ROC曲线下面积(area under curve,AUC)分别为0.900(95％CI:0.850～0.950)和0.903(95％CI:0.807～0.999),预测效能高且未过拟合。SHAP值分析结果表明,NLRP3 rs10159239基因型AG、rs10754558基因型CG和GG、rs12143966基因型GG、rs3806265基因型CT为疾病发生的危险因素。结论 NLRP3基因多态性与LAA型缺血性脑卒中的发病风险密切相关,基于NLRP3基因多态性构建的SVM模型可用于预测LAA型缺血性脑卒中的危险因素,为临床早期诊断与精准预防提供了新思路。 |
| 中文关键词:NLRP3基因多态性 SVM模型 缺血性卒中 预测模型 |
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| Establishment of A LAA Ischemic Stroke Prediction Model Based on the NLRP 3 Gene Polymorphism and SVM Model. |
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| Abstract:Objective This study aims to construct a prediction model for large artery atherosclerotic(LAA) ischemic stroke based on NOD-like receptor thermal protein domain associated protein 3(NLRP3) gene polymorphism and support vector machine(SVM) model. Methods 84 LAA patients and 84healthy controls were selected to detect polymorphisms at rs10159239, rs10754558, rs12143966 and rs3806265 of NLRP3 gene, construct the SVM model, and the model performance was evaluated by receiver operating characteristic(ROC) curve. Results The genotype and allele frequency of NLRP3gene polymorphism sites were compared between the case group and the control group, and the difference was statistically significant(P<0.05). The area under curve(AUC) of the ROC in the training and test sets is 0.900(95%CI:0.850-0.950) and 0.903(95%CI:0.807-0.999), respectively, with high prediction efficacy and no overfit. The results of SHAP value analysis showed that:NLRP3 rs10159239genotype AG, rs10754558genotype CG and GG, rs12143966genotype GG and rs3806265genotype CT are the risk factors for disease development. Conclusions NLRP3gene polymorphism is closely related to the risk of LA ischemic stroke. SVM model based on NLRP3 gene polymorphism can be used to predict the risk factors of LAA ischemic stroke, providing a new idea for early clinical diagnosis and precise prevention. |
| keywords:NLRP3 gene polymorphism SVM model Ischemic stroke Predictive model |
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