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Discovery and validation an eight-biomarker serum gene signature for the diagnosis of steroid-induced osteonecrosis of the femoral head

机译:发现和验证八生物标志物血清基因签名,用于诊断类固醇诱导的股骨头骨折症

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摘要

Steroid-induced osteonecrosis of the femoral head (SONFH) is difficult to be diagnosed at the early stages when it can be administrated effectively. Yet, to date no study has been performed to identify diagnostic biomarkers and to develop diagnostic models for SONFH. In the current study, a total of 60 SONFH patients with Association Research Circulation Osseous (ARCO) stages I-IV, and 20 controls were enrolled and divided into the discovery and validation cohorts. The serum samples were collected and the gene expression profiles were detected by microarray analysis based on the discovery cohort. Then, eight genes (BIRC3, CBL, CCR5, LYN, PAK1, PTEN, RAF1 and TLR4) were identified as the candidate serum biomarkers of SONFH due to the significant differential expression patterns and the topological importance in the interaction network of SONFH-related differentially expressed genes. Functionally, these candidate serum biomarkers were significantly involved into several pathological processes during SONFH progression, such as the immune regulation and inflammation, bone metabolism and angiogenesis. After that, a prediction model for the diagnosis of SONFH was constructed using Partial least squares regression based on the serum levels of the candidate biomarkers. Notably, both the 10-fold cross-validation and the independent dataset test demonstrated the good performance of this model. In conclusion, our study discovered eight promising serum biomarkers and developed the multi-biomarker-based prediction model as a new, potential and non-invasive diagnostic tool for the detection of SONFH, as well as benefit the administration of SONFH in a daily clinical setting.
机译:当它可以有效施用时,难以在早期阶段诊断股骨头(SONFH)的类固醇致骨折。然而,迄今为止,没有进行研究以识别诊断生物标志物并为Sonfh开发诊断模型。在目前的研究中,共有和验证核心I-IV的共有关联研究循环综合症(ARCO)阶段(ARCO)阶段的60名SonFH患者。收集血清样品,基于发现队列的微阵列分析检测基因表达谱。然后,由于SONFH相关差分网络的相互作用网络中的显着差异表达模式和拓扑重要性,将八个基因(BIRC3,CBL,CCR5,LYL,PT1,PTER5,RAF1和TLR4)鉴定为SONFH的候选血清生物标志物。表达基因。在功能上,这些候选血清生物标志物在SONFH进展期间显着参与了几种病理过程,例如免疫调节和炎症,骨代谢和血管生成。此后,使用基于候选生物标志物的血清水平的血清水平使用部分最小二乘回归构建SONFH诊断的预测模型。值得注意的是,10倍交叉验证和独立数据集测试都表现出该模型的良好性能。总之,我们的研究发现了八个有前途的血清生物标志物,并将基于多生物标记的预测模型作为一种新的,潜在和非侵入性的诊断工具,用于检测SONFH,以及在日常临床环境中受益于Sonfh的给药。

著录项

  • 来源
    《Bone》 |2019年第2019期|共10页
  • 作者单位

    China Acad Chinese Med Sci Inst Chinese Mat Med 16 Nanxiaojie Beijing 100700 Peoples R China;

    China Acad Chinese Med Sci Inst Chinese Mat Med 16 Nanxiaojie Beijing 100700 Peoples R China;

    China Acad Chinese Med Sci Wangjing Hosp Beijing 100102 Peoples R China;

    China Acad Chinese Med Sci Wangjing Hosp Beijing 100102 Peoples R China;

    Chinese Acad Med Sci Inst Hematol Peking Union Med Coll Tianjin 300041 Peoples R China;

    Zhengzhou Tradit Chinese Med Traumatol Hosp Zhengzhou 450000 Henan Peoples R China;

    China Acad Chinese Med Sci Wangjing Hosp Beijing 100102 Peoples R China;

    China Acad Chinese Med Sci Wangjing Hosp Beijing 100102 Peoples R China;

    China Acad Chinese Med Sci Inst Chinese Mat Med 16 Nanxiaojie Beijing 100700 Peoples R China;

    China Acad Chinese Med Sci Inst Chinese Mat Med 16 Nanxiaojie Beijing 100700 Peoples R China;

    China Acad Chinese Med Sci Inst Chinese Mat Med 16 Nanxiaojie Beijing 100700 Peoples R China;

    China Acad Chinese Med Sci Inst Chinese Mat Med 16 Nanxiaojie Beijing 100700 Peoples R China;

    China Acad Chinese Med Sci Inst Chinese Mat Med 16 Nanxiaojie Beijing 100700 Peoples R China;

    China Acad Chinese Med Sci Inst Chinese Mat Med 16 Nanxiaojie Beijing 100700 Peoples R China;

    China Acad Chinese Med Sci Wangjing Hosp Beijing 100102 Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 骨科学(运动系疾病、矫形外科学);
  • 关键词

    Steroid-induced osteonecrosis of the femoral head; Gene expression profiling; Biological molecular network; Biomarker; Partial least square model;

    机译:类固醇诱导的股骨头骨折;基因表达分析;生物分子网络;生物标志物;部分最小二乘模型;

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