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Li T, Zhang Y, Wang R, Xue Z, Li S, Cao Y, Liu D, Niu Y, Mao X, Wang X, Li W, Guo Q, Guo M, Lin N, Chen W. Discovery and validation an eight-biomarker serum gene signature for the diagnosis of steroid-induced osteonecrosis of the femoral head. Bone 2019; 122:199-208. [PMID: 30853659 DOI: 10.1016/j.bone.2019.03.008] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2019] [Revised: 03/04/2019] [Accepted: 03/06/2019] [Indexed: 12/18/2022]
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.
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Affiliation(s)
- Taixian Li
- 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
| | - Yanqiong Zhang
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Rongtian Wang
- Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing 100102, China
| | - Zhipeng Xue
- Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing 100102, China
| | - Shangzhu Li
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Tianjin 300041, China
| | - Yuju Cao
- Zhengzhou Traditional Chinese Medicine Traumatology Hospital, Zhengzhou 450000, China
| | - Daobing Liu
- Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing 100102, China
| | - Yanfang Niu
- Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing 100102, China
| | - Xia Mao
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Xiaoyue Wang
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Weijie Li
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Qiuyan Guo
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Minqun Guo
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Na Lin
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China.
| | - Weiheng Chen
- Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing 100102, China.
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