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发现和验证用于诊断激素性股骨头坏死的 8 个血清基因标志物。

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

机构信息

Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China; Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing 100102, China.

Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China.

出版信息

Bone. 2019 May;122:199-208. doi: 10.1016/j.bone.2019.03.008. Epub 2019 Mar 8.

Abstract

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.

摘要

激素诱导性股骨头坏死(SONFH)在早期阶段难以诊断,此时可以进行有效的治疗。然而,迄今为止,尚未有研究用于鉴定 SONFH 的诊断生物标志物并开发诊断模型。在本研究中,共纳入 60 例 ARCO 分期 I-IV 期 SONFH 患者和 20 例对照者,并将其分为发现队列和验证队列。采集血清样本,基于发现队列进行微阵列分析检测基因表达谱。然后,由于差异表达基因的互作网络中存在明显的差异表达模式和拓扑重要性,有 8 个基因(BIRC3、CBL、CCR5、LYN、PAK1、PTEN、RAF1 和 TLR4)被鉴定为 SONFH 的候选血清生物标志物。功能上,这些候选血清生物标志物显著参与了 SONFH 进展过程中的几个病理过程,如免疫调节和炎症、骨代谢和血管生成。之后,基于候选生物标志物的血清水平,使用偏最小二乘回归构建了 SONFH 诊断的预测模型。值得注意的是,10 折交叉验证和独立数据集测试均表明该模型具有良好的性能。总之,我们的研究发现了 8 个有前途的血清生物标志物,并开发了基于多生物标志物的预测模型,作为一种新的、潜在的、非侵入性的 SONFH 检测诊断工具,也有利于 SONFH 在日常临床环境中的治疗。

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