临床外科杂志 ›› 2025, Vol. 33 ›› Issue (7): 757-.doi: 10.3969/j.issn.1005-6483.20240778

• 论著 • 上一篇    下一篇

基质GLA蛋白与特发性草酸钙结石影响因素的关联及预测模型构建

黄晓科 汤庆峰 赖维奇 朱江 钟远友 胡小波 杨仕伟   

  1. 610500 成都,四川省成都市新都区人民医院泌尿外科
  • 收稿日期:2024-05-22 出版日期:2025-07-20 发布日期:2025-07-20
  • 通讯作者: 黄晓科,Email:wbjqq456@126.com
  • 基金资助:
    成都市卫生健康委课题(2022198)

Association between matrix GLA protein and influencing factors of idiopathic calcium oxalate stones and construction of a prediction model

HUANG Xiaoke,TANG Qingfeng,LAI Weiqi,ZHU Jiang,ZHONG Yuanyou,HU Xiaobo,YANG Shiwei   

  1. Department of Urology,Xindu District People's Hospital,Sichuan Province,Chengdu 610500,China
  • Received:2024-05-22 Online:2025-07-20 Published:2025-07-20

摘要: 目的 探讨基质GLA蛋白(MGP)在特发性草酸钙肾结石(ICOS)发病中的作用机制。 方法 2021年9月~2023年9月收治的ICOS病人60例为结石组,同一时期因肾脏肿瘤、外伤或其他原因接受肾切除术的非结石病人60例为对照组。检测两组血尿生化指标及免疫组化评分,ELISA测定尿MGP水平,qPCR及Western blot检测肾乳头组织MGP mRNA和蛋白表达。采用Logistic回归分析筛选ICOS发病的独立危险因素,绘制列线图预测模型。结果 与对照组比较,结石组尿MGP含量降低[(1805.91±244.44)pg/ml 和(2014.79±252.14)pg/ml,P<0.05];肾乳头MGP mRNA 表达量降低(0.89±0.15和1.00±0.00,P=0.001),MGP蛋白表达量降低(0.87±0.18和.1.00±0.00,P<0.05);肾组织MGP免疫组化评分减少[4(2~6)分 和6(4~8)分,P<0.001]。多因素分析显示,尿钙(OR=1.370)、尿MGP(OR=1.127)、肾乳头MGP相对表达量(OR=27.532)和肾组织MGP免疫组化评分(OR=1.359)是ICOS的独立危险因素。基于上述因素构建的列线图预测模型的ROC曲线下面积为0.839,表明该模型风险预测的区分能力良好。结论 MGP表达与ICOS发病密切相关,尿液和肾组织MGP水平有望成为评估ICOS发病风险和严重程度的新型生物标志物。

关键词: 特发性草酸钙结石, 基质GLA蛋白, 生物标志物, 影响因素, 预测模型

Abstract: Objective To investigate the role of matrix GLA protein(MGP) in the pathogenesis of idiopathic calcium oxalate kidney stones(ICOS),and to find potential biomarkers for early diagnosis and disease evaluation.Methods A total of 120 patients admitted to our hospital from September 2021 to September 2023 were prospectively included,of which 60 patients with ICOS were in the calculus group and 60 patients without calculus were in the control group.Serum biochemical indexes and immunohistochemical scores of the two groups were detected,urinary MGP levels were determined by ELISA,and MGP mRNA and protein expression in renal papilla tissues were detected by qPCR and Western blot.The independent risk factors of ICOS were screened by Logistic regression analysis,and the prediction model was drawn by nomogram.Results Compared with control group,urinary MGP content in calculus group was decreased[(1805.91±244.44)pg/ml vs.(2014.79±252.14)pg/ml,P<0.05).Expression of MGP mRNA and MGP protein in renal papillae decreased(0.89±0.15 vs.1.00±0.00,P=0.001) and decreased(0.87±0.18 vs.1.00±0.00,P<0.05).MGP immunohistochemical scores of renal tissue were decreased [4(2-6) scores vs.6(4-8) scores,P<0.001].Multivariate analysis showed that urinary calcium(OR=1.370),urinary MGP(OR=1.127),renal papilla MGP relative expression level(OR=27.532) and renal tissue MGP immunohistochemical score(OR=1.359) were independent risk factors for ICOS.Area under ROC curve of the nomogram prediction model built based on the above factors is 0.839,indicating that the model has good differentiation ability in risk prediction.Conclusion MGP is closely related to the pathogenesis of ICOS.Urinary and renal tissue MGP levels may be potential biomarkers for early diagnosis and disease assessment of ICOS.

Key words: idiopathic calcium oxalate stones, matrix GLA protein, biomarkers, influencing factors, prediction model

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