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

生物标志物 医学 生物标志物发现 候选基因 肿瘤科 生物信息学 微阵列 内科学 比例危险模型 血管生成 疾病 基因签名 PTEN公司 计算生物学 基因 基因表达 蛋白质组学 生物 生物化学 PI3K/AKT/mTOR通路 细胞凋亡
作者
Taixian Li,Yanqiong Zhang,Rongtian Wang,Zhipeng Xue,Shangzhu Li,Yuju Cao,Daobing Liu,Yanfang Niu,Xia Mao,Xiaoyue Wang,Weijie Li,Qiuyan Guo,Min-Qun Guo,Na Lin,Weiheng Chen
出处
期刊:Bone [Elsevier]
卷期号:122: 199-208 被引量:37
标识
DOI:10.1016/j.bone.2019.03.008
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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI

祝大家在新的一年里科研腾飞
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Peterholland关注了科研通微信公众号
1秒前
西子阳发布了新的文献求助10
2秒前
shiguang发布了新的文献求助10
3秒前
养蚊子发布了新的文献求助10
4秒前
5秒前
科研完成签到,获得积分10
7秒前
7秒前
共享精神应助科研通管家采纳,获得10
7秒前
Owen应助科研通管家采纳,获得10
7秒前
7秒前
bkagyin应助zzzkyt采纳,获得10
7秒前
8秒前
qudie发布了新的文献求助10
8秒前
哈哈王子发布了新的文献求助10
8秒前
Aexxx1完成签到,获得积分10
9秒前
9秒前
9秒前
脑洞疼应助shiguang采纳,获得10
10秒前
10秒前
Andywong完成签到,获得积分10
12秒前
张露711发布了新的文献求助10
12秒前
12秒前
13秒前
Shaw发布了新的文献求助10
13秒前
小芋头发布了新的文献求助30
14秒前
元谷雪发布了新的文献求助10
14秒前
zhaoying完成签到,获得积分10
14秒前
哈哈王子完成签到,获得积分10
15秒前
16秒前
16秒前
郑小发布了新的文献求助10
16秒前
Andywong发布了新的文献求助10
16秒前
zzzkyt发布了新的文献求助10
18秒前
20秒前
七彩完成签到,获得积分10
20秒前
Shaw完成签到,获得积分10
21秒前
Yifan2024应助浩气长存采纳,获得40
22秒前
刘一一完成签到,获得积分10
22秒前
爆米花应助aniu采纳,获得10
24秒前
宇文天奇完成签到,获得积分10
26秒前
高分求助中
Востребованный временем 2500
The Three Stars Each: The Astrolabes and Related Texts 1500
Agenda-setting and journalistic translation: The New York Times in English, Spanish and Chinese 1000
Les Mantodea de Guyane 1000
Very-high-order BVD Schemes Using β-variable THINC Method 950
Field Guide to Insects of South Africa 660
Foucault's Technologies Another Way of Cutting Reality 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3389871
求助须知:如何正确求助?哪些是违规求助? 3001728
关于积分的说明 8799894
捐赠科研通 2688367
什么是DOI,文献DOI怎么找? 1472537
科研通“疑难数据库(出版商)”最低求助积分说明 681001
邀请新用户注册赠送积分活动 673674