探讨骨不连中铁下垂的生物学功能:结合孟德尔随机化的生物信息学分析。

IF 2.4 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Jun Yu, Kai Feng, Ming Yang, Kaijie Yang, Yun Jin, Zhanhu Mi
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引用次数: 0

摘要

以GEO数据库为基础,深入探讨骨不连过程中嗜铁相关基因的作用机制。并采用孟德尔随机化方法探讨15种微量元素与骨不连发生的因果关系。从GEO数据库中检索并下载骨不连RNA-seq数据。采用“limma”和“WGCNA”两种差异表达分析方法鉴定骨不连的差异表达基因。采用随机森林树、支持向量机、Lasso-cox分析筛选骨不连中铁下垂相关基因;基于筛选的嗜铁相关基因构建骨不连风险模型;在此基础上,进一步探讨了嗜铁相关基因参与骨不连发生发展的通路机制。孟德尔随机化分析以方差逆加权为主要分析方法,加权中位数、加权模态、Mr-Egger、Simple模态为辅助分析方法。采用Cochran’s Q检验和漏斗图分析检测异质性,采用Mr-Egger截距检测水平多效性,采用“留一法”进行敏感性分析。PTGS2/PRKCA/MAPK14对骨不连的诊断效果均较好。基于PTGS2、PRKCA和MAPK14的风险预测模型对骨不愈合具有良好的预测效果和临床获益率。铁下沉核心基因PRKCA可能参与VEGF信号通路,影响细胞周期,抑制骨折愈合。磁共振分析表明,钾和维生素E是骨不连发展的保护因素。下垂铁基因PTGS2/PRKCA/MAPK14是骨不连的潜在诊断靶点。PRKCA表达下调可能通过VEGF信号通路抑制骨折断裂处血管生长过程中的骨折愈合。磁共振结果表明,钾和维生素E对骨折愈合有促进作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploration of the Biological Function of Ferroptosis in Bone Nonunion: An Analysis of Bioinformatics Combined Mendelian Randomization.

To deeply investigate the mechanism of ferroptosis-related genes in the process of bone nonunion based on the GEO database. And using Mendelian randomization to explore the causal association of 15 trace elements with the occurrence of bone nonunion. Bone nonunion RNA-seq data were retrieved and downloaded from the GEO database. The differentially expressed genes in bone nonunion were identified using two differential expression analysis methods, "limma" and "WGCNA". Random Forest Tree, Support Vector Machine, and Lasso-cox were used to analyze and screen the genes related to ferroptosis in bone nonunion; A risk model of bone nonunion was constructed based on the screened ferroptosis-related genes; based on this, the pathway mechanism of ferroptosis-related genes involved in the occurrence and development of bone nonunion was further investigated. Mendelian randomization analysis was performed using inverse variance weighting as the main analysis method, and weighted median, Weighted mode, Mr-Egger, and Simple mode were used as complementary methods. Heterogeneity was detected using Cochran's Q test and funnel plot analysis, horizontal pleiotropy was detected using Mr-Egger intercept, and sensitivity analyses were performed using the "leave-one-out" method. PTGS2/PRKCA/MAPK14 all showed excellent diagnostic efficacy for bone nonunion. The risk prediction model based on PTGS2, PRKCA, and MAPK14 showed good predictive efficacy and clinical benefit rate for bone nonunion. Ferroptosis core gene PRKCA may be involved in the VEGF signaling pathway to affect the cell cycle and inhibit fracture healing. MR analysis suggests that Potassium and Vitamin E are protective factors for the development of bone nonunion. Ferroptosis genes PTGS2/PRKCA/MAPK14 are potential diagnostic targets for bone nonunion. The down-regulation of PRKCA expression may inhibit fracture healing through the VEGF signaling pathway during the growth of blood vessels at fracture breaks. The results of MR suggested that Potassium and Vitamin E have a promoting effect on fracture healing.

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来源期刊
Molecular Biotechnology
Molecular Biotechnology 医学-生化与分子生物学
CiteScore
4.10
自引率
3.80%
发文量
165
审稿时长
6 months
期刊介绍: Molecular Biotechnology publishes original research papers on the application of molecular biology to both basic and applied research in the field of biotechnology. Particular areas of interest include the following: stability and expression of cloned gene products, cell transformation, gene cloning systems and the production of recombinant proteins, protein purification and analysis, transgenic species, developmental biology, mutation analysis, the applications of DNA fingerprinting, RNA interference, and PCR technology, microarray technology, proteomics, mass spectrometry, bioinformatics, plant molecular biology, microbial genetics, gene probes and the diagnosis of disease, pharmaceutical and health care products, therapeutic agents, vaccines, gene targeting, gene therapy, stem cell technology and tissue engineering, antisense technology, protein engineering and enzyme technology, monoclonal antibodies, glycobiology and glycomics, and agricultural biotechnology.
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