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内蒙古地区蒙古族后纵韧带骨化与外周血microRNA的相关性研究
Correlation between ossification of posterior longitudinal ligament and microRNA in peripheral blood of Mongolian in Inner Mongolia
投稿时间:2024-05-06  
DOI:10.3969/j.issn.1672-5972.2025.02.009
中文关键词:  后纵韧带骨化  微小核糖核酸  蒙古族  相关性研究
英文关键词:Ossification of posterior longitudinal ligament  MicroRNA  Mongolian  Correlation study
基金项目:内蒙古自治区自然科学基金(2021SHZR0385)
作者单位邮编
胡斯楞* 内蒙古医科大学内蒙古 呼和浩特010107 010107
李鹏飞* 内蒙古自治区人民医院脊柱外科内蒙古 呼和浩特010010 010010
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中文摘要:
      目的 分析蒙古族后纵韧带骨化患者外周血中差异表达miRNAs,并进行生物信息学分析,探讨外周血中差异表达miRNAs与蒙古族后纵韧带骨化的关系。方法 收集自2021年12月至2023年12月在内蒙古自治区人民医院脊柱外科就诊的5例蒙古族后纵韧带骨化患者和5例健康蒙古族志愿者外周血样本。应用高通量测序技术检测miRNAs表达,得到差异表达的miRNAs,并绘制聚类热图及火山图。再利用生物信息学数据库对差异表达miRNAs进行靶基因的预测,通过GO分析和KEGG分析预测靶基因参与调控的生物进程和信号通路。综合以上分析将miRNAs和信号通路与后纵韧带骨化串联起来进行讨论。结果 蒙古族后纵韧带骨化组与对照组外周血中共有51个miRNAs表达差异有统计学意义(P<0.05),其中17个miRNAs表达上调,34个miRNAs表达下调。10个miRNAs的差异表达最为明显,其中3个miRNAs表达上调,分别为hsa-miR-27a-5p、hsa-miR-195-3p_R-1和hsa-miR-5683_R-2,7个miRNAs表达下调,分别为hsa-miR-10527-5p、hsa-miR-548z_R-3_1ss4AG、hsa-miR-17-5p、hsa-miR-106a-5p_1ss1AC、hsa-miR-324-5p_R-1、hsa-miR-4326_R+3和hsa-miR-93-5p。通过与TargetScan和miRanda数据库比较,最终发现2 451个差异表达的miRNAs靶基因在各组之间有注释。GO分析显示,差异miRNAs的靶基因通过多种分子机制参与生物学过程(BP),如调控RNA聚合酶Ⅱ对转录的活动、调节RNA聚合酶Ⅱ对转录的正向作用以及影响DNA模板转录。此外,在细胞组分(CC)中发挥功能,包括细胞质、细胞核和胞液等位置,并且在分子功能方面(MF)表现出各种活性,如蛋白质结合、金属离子结合和转移酶的活性。KEGG通路分析显示,差异miRNAs的靶基因富集的信号通路主要包括:代谢途径、肿瘤通路、钙信号通路和Ras信号通路等。结论 本研究测得共51个miRNAs差异表达,其中17个miRNAs表达上调、35个miRNAs表达下调,表明了蒙古族后纵韧带骨化患者外周血中miRNAs存在差异表达。通过生物信息学方法对差异miRNAs进行功能分析差异发现其主要涉及代谢途径、肿瘤通路、钙信号通路和Ras信号通路等。上述通路与成骨分化有明显的关联,证明蒙古族后纵韧带骨化与外周血差异表达的miRNAs及其靶基因存在共同遗传关系。
英文摘要:
      Objective To analyze the differentially expressed miRNAs in the peripheral blood of Mongolian patients with ossification of the posterior longitudinal ligament (OPLL) and to explore the relationship between these miRNAs and OPLL in Mongolian individuals through bioinformatics analysis.Methods Peripheral blood samples were obtained from 5 Mongolian patients diagnosed with OPLL and 5 healthy Mongolian volunteers at the department of spine surgery, Inner Mongolia People's Hospital between December 2021 and December 2023. High-throughput sequencing technology was utilized to assess miRNA expression, leading to the identification of differentially expressed miRNAs. Subsequently, cluster heat maps and volcano plots were generated. Bioinformatics databases were used to predict target genes of the differentially expressed miRNAs, while GO analysis and KEGG analysis were employed to forecast the biological processes and signaling pathways regulated by these target genes. The discussion then focused on the relationship between miRNA expression and signaling pathways in relation to OPLL based on the aforementioned analyses.Results A total of 51 miRNAs exhibited differential expression in peripheral blood between the OPLL group and the control group (P<0.05), with 17 miRNAs up-regulated and 34 miRNAs down-regulated. The most pronounced differential expression was observed in 10 miRNAs, including 3 up-regulated (hsa-miR-27a-5p, hsa-miR-195-3p_R-1, hsa-miR-5683_R-2) and 7 miRNAs down-regulated (hsa-miR-10527-5p, hsa-miR-548z_R-3_1ss4AG, hsa-miR-17-5p, hsa-miR-106a-5p_1ss1AC, has-miR-324-5p_R-1, has-miR-4326-R+3 and has-miR-93-5p). Through comparison with TargetScan and miRanda databases, a total of 2 451 differentially expressed target genes were identified between groups. GO analysis revealed that the target genes of differential miRNAs were implicated in a range of biological processes, including regulation of transcription by RNA polymerase Ⅱ, positive regulation of transcription by RNA polymerase Ⅱ, and regulation of DNA-templated transcription. Furthermore, they functioned in various cellular components such as the cytoplasm, nucleus, and cytosol, and exhibited diverse activities in molecular functions such as protein binding, metal ion binding, and transferase activity. KEGG pathway analysis indicated that the target genes of differential miRNAs were significantly enriched in signaling pathways such as metabolic pathway, cancer pathway, calcium signaling pathway and Ras signaling pathway.Conclusion A total of 51 miRNAs exhibited differential expression in this study, with 17 miRNAs showing up-regulation and 35 miRNAs showing down-regulation. These findings suggest that there is a distinct pattern of miRNA expression in the peripheral blood of Mongolian patients with OPLL. Bioinformatics analysis revealed that the differentially expressed miRNAs primarily participate in metabolic pathways, cancer pathways, calcium signaling pathways, and Ras signaling pathways, all of which are closely linked to osteogenic differentiation. In conclusion, there exists a shared genetic relationship between Mongolian OPLL and the differentially expressed miRNAs and their target genes in peripheral blood.
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