文章摘要
盛 夏,张亚帅,丁 立,庄新明,王丽宏.血清miR-148a、miR-122-5p水平与骨质疏松症患者髋部骨折的关系及其预测价值分析[J].,2023,(15):2842-2846
血清miR-148a、miR-122-5p水平与骨质疏松症患者髋部骨折的关系及其预测价值分析
Relationship between Serum miR-148a and miR-122-5p Levels and Hip Fracture in Patients with Osteoporosis and Their Predictive Value Analysis
投稿时间:2023-03-30  修订日期:2023-04-24
DOI:10.13241/j.cnki.pmb.2023.15.008
中文关键词: 骨质疏松症  髋部骨折  miR-148a  miR-122-5p  预测价值
英文关键词: Osteoporosis  Hip fracture  miR-148a  miR-122-5p  Predictive value
基金项目:吉林省科技发展计划项目(20210204129YY)
作者单位E-mail
盛 夏 吉林大学第一医院新干部病房 吉林 长春 130000 shengxiawsp@163.com 
张亚帅 吉林大学白求恩第一医院脊柱外科 吉林 长春 130000  
丁 立 吉林大学白求恩第一医院脊柱外科 吉林 长春 130000  
庄新明 吉林大学白求恩第一医院脊柱外科 吉林 长春 130000  
王丽宏 哈尔滨医科大学附属第二医院内分泌与代谢病科 黑龙江 哈尔滨 150000  
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中文摘要:
      摘要 目的:研究血清微小核糖核酸-148a(miR-148a)、miR-122-5p水平与骨质疏松症患者髋部骨折的关系及其预测价值。方法:选取吉林大学第一医院从2019年1月~2021年1月收治的102例骨质疏松症患者作为研究对象。将其按照是否并发髋部骨折分为骨折组45例以及无骨折组57例,另选取健康体检志愿者40例作为对照组。比较三组血清miR-148a、miR-122-5p水平。采用单因素和多因素Logistic回归模型分析骨质疏松症患者髋部骨折的影响因素。采用受试者工作特征(ROC)曲线分析血清miR-148a、miR-122-5p水平预测骨质疏松症患者髋部骨折的效能。结果:骨折组血清miR-148a表达水平为(1.25±0.29),相较于无骨折组的(1.04±0.24)以及对照组的(0.66±0.13)更高,且无骨折组miR-148a表达水平相较对照组更高;骨折组血清miR-122-5p表达水平为(0.60±0.06),相较于无骨折组的(0.74±0.12)以及对照组的(1.01±0.17)更低,且无骨折组miR-122-5p表达水平相较对照组更低(均P<0.05)。骨折组血清PINP、β-CTX水平及年龄、女性人数占比均高于无骨折组,骨密度评分低于无骨折组(均P<0.05)。经多因素Logistic回归分析可得:年龄偏大、女性、骨密度评分降低、血清PINP、β-CTX、miR-148a水平升高均是骨质疏松症患者发生髋部骨折的危险因素,血清miR-122-5p水平升高是其保护因素(均P<0.05)。经ROC曲线分析发现,血清miR-148a、miR-122-5p联合预测骨质疏松症患者发生髋部骨折的效能优于上述两项指标单独预测。结论:血清miR-148a水平升高以及血清miR-122-5p水平降低均可能增加骨质疏松症患者发生髋部骨折的风险,两指标联合检测具有辅助预测骨质疏松症患者发生髋部骨折风险的潜在价值。
英文摘要:
      ABSTRACT Objective: To study the relationship between serum micronucleic acid-148a (miR-148a) and miR-122-5p levels and hip fracture in patients with osteoporosis and to analyze their predictive value. Methods: 102 patients with osteoporosis who were admitted to First Hospital of Jilin University from January 2019 to January 2021 were selected as research objects. The patients were divided into fracture group with 45 cases and non-fracture group with 57 cases according to whether they were complicated with hip fracture or not, and 40 healthy physical examination volunteers were selected as the control group. The serum miR-148a and miR-122-5p levels were compared in the three groups. Univariate and multivariate Logistic regression model was used to analyse the influencing factors of hip fracture in patients with osteoporosis. The efficacy of serum miR-148a and miR-122-5p levels in predicting hip fracture in patients with osteoporosis was analyzed by receiver operating characteristic (ROC) curve. Results: The miR-148a expression level in the fracture group was (1.25±0.29), which was higher than that in the non-fracture group (1.04±0.24) and the control group (0.66±0.13), and the miR-148a expression level in the non-fracture group was higher than that in the control group(all P<0.05). The miR-122-5p expression level in the fracture group was (0.60±0.06), which was lower than that in the non-fracture group (0.74±0.12) and the control group (1.01±0.17), and the miR-122-5p expression level in the non-fracture group was lower than that in the control group (all P<0.05). The serum PINP and β -CTX levels, age and the proportion of female in the fracture group were higher than those in the non-fracture group, and bone mineral density score was lower than that in non-fracture group (all P<0.05). Multivariate Logistic regression analysis showed that older age, female, lower bone mineral density score, increased serum PINP, β-CTX and miR-148a levels were all risk factors for hip fracture in patients with osteoporosis, and increased serum miR-122-5p level was the protective factor (all P<0.05). ROC curve analysis showed that the combined efficacy of serum miR-148a and miR-122-5p in predicting hip fracture in patients with osteoporosis was better than that of the above two indicators alone. Conclusion: The increase of serum miR-148a level and the decrease of serum miR-122-5p level may increase the risk of hip fracture in patients with osteoporosis, and the combined detection of the two indicators has the potential value of assisting in predicting the risk of hip fracture in patients with osteoporosis.
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