| 王伟,张翠云,李金英,宫月娇,康晓静.miR-146a-5p基因多态性与多囊卵巢综合征发病风险的相关性.[J].中南医学科学杂志.,2021,(5):583-586. |
| miR-146a-5p基因多态性与多囊卵巢综合征发病风险的相关性 |
| Association between miR-146a-5p gene polymorphism and PCOS |
| 投稿时间：2020-12-17 修订日期：2021-01-28 |
| DOI：10.15972/j.cnki.43-1509/r.2021.05.021 |
| 中文关键词: miR-146a-5p 基因多态性 多囊卵巢综合征 |
| 英文关键词:miR-146a-5p gene polymorphism polycystic ovary syndrome |
| 基金项目:秦皇岛市科学技术研究与发展计划(201805A098) 作者简介:王伟,主治医师,研究方向为多囊卵巢的诊断与治疗,E-mail为gdu8uh@163.com。 |
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| 中文摘要: |
| 目的研究分析miR-146a-5p基因多态性与多囊卵巢综合征(PCOS)发病风险的相关性。方法回顾性选取PCOS患者122例为观察组,选取同期本院体检正常者110例为对照组。收集两组年龄、身高、体质量及BMI等指标。采用血液基因组DNA提取试剂盒提取DNA,采用四引物扩增受阻突变体系聚合酶链反应(T-ARMS-PCR)法对miR-146a-5p rs2910164位点进行基因分型。Logistic回归模型用于评价miR-146a-5p的rs2910164位点与PCOS发病风险的关联强度及PCOS的危险因素。结果观察组体质量、BMI显著高于对照组(P＜0.05)；观察组与对照组miR-146a-5p的基因型分布差异有显著性(P＜0.05)；miR-146a-5p的基因型在两组间的分布符合Hardy-Weinberg平衡(P＞0.05)。观察组和对照组的CG基因型分布差异存在显著性(OR=2.16,95%CI=1.19~3.70,P＝0.004)。观察组的C等位基因频率显著高于对照组(OR=1.78,95%CI=1.15~2.36,P＝0.001)。在C等位基因的显性作用(CC+CG与GG之间的比较)中,CC+CG基因型显著增加了PCOS的风险(OR=1.91,95%CI=1.42~2.75,P＝0.001)。对年龄和BMI进行调整后,共显性、显性和隐性模型的基因型在OR中均未显示任何显著变化。以PCOS为因变量,以体质量、BMI和miR-146a-5p基因型为自变量,进行Logistic回归分析,结果显示miR-146a-5p rs2910164、体质量、BMI是PCOS的独立危险因素。结论miR-146a-5p的rs2910164位点C等位基因与PCOS发病风险增加有关,可以作为预测PCOS发病风险的潜在预警生物标志物。 |
| 英文摘要: |
| To study the association between miR-146a-5p gene polymorphism and the risk of polycystic ovary syndrome. MethodsUsing retrospective analysis, 122 patients with polycystic ovary syndrome were selected as the observation group, and 110 patients with normal physical examination in our hospital during the same period were selected as the control group. Collect age, height, weight and BMI index and other indicators of two groups. DNA was extracted using a blood genomic DNA extraction kit, and the four-primer amplification hindered mutation system polymerase chain reaction (T-ARMS-PCR) method was used to genotype miR-146a-5p rs2910164. Logistic regression model was used to evaluate the strength of the association between the rs2910164 locus of miR-146a-5p and the risk of polycystic ovary syndrome and the risk factors of PCOS. ResultsThe weight and BMI of the observation group were significantly higher than those of the control group (P＜0.05). The distribution of miR-146a-5p genotype was significantly different between the observation group and the control group (P＜0.05); the distribution of miR-146a-5p genotype between the two groups was in line with Hardy-Weinberg equilibrium(P＞0.05). There were significant differences in the distribution of CG genotypes between the observation group and the control group (OR=2.16,95%CI=1.19-3.70, P＝0.004). The frequency of the C allele in the observation group was significantly higher than that in the control group (OR=1.78,95%CI=1.15-2.36, P＝0.001). In the dominant role of the C allele (comparison between CC+CG and GG), the CC+CG genotype significantly increased the risk of PCOS (OR=1.91,95%CI=1.42-2.75, P＝0.001). After adjusting for age and BMI, the genotypes of codominant, dominant, and recessive models did not show any significant changes in OR. Taking PCOS as the dependent variable, body weight, BMI index and miR-146a-5p genotype as independent variables, Logistic regression analysis was performed. The results showed that miR-146a-5p rs2910164, body weight, and BMI index were independent risk factors for PCOS. ConclusionThe miR-146a-5p rs2910164 locus C allele is associated with an increased risk of PCOS and can be used as a potential biomarker to predict the risk of PCOS. |
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