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基于基因表达综合数据库和连通性图谱快速发现股骨头坏死潜在药物。

Rapid Discovery of Potential Drugs for Osteonecrosis of Femoral Head Based on Gene Expression Omnibus Database and Connectivity Map.

机构信息

Department of Orthopedics, The First Clinical Medical School, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.

Orthopaedic Microsurgery, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.

出版信息

Orthop Surg. 2019 Dec;11(6):1209-1219. doi: 10.1111/os.12533. Epub 2019 Nov 6.

Abstract

OBJECTIVE

To use Gene Expression Omnibus (GEO) database coupled with Connectivity Map (CMap) databases to screen potential therapeutic drugs for osteonecrosis of femoral head (ONFH) rapidly.

METHODS

Raw genetic data with accession number GSE74089 that contained eight hip articular cartilage specimens from four ONFH patients and four healthy controls were obtained from the Gene Expression Omnibus (GEO) database and were then integrated using R to identify differentially expressed genes (DEGs). Subsequently, to identify several potential small molecular compounds that were most strongly negatively correlated with ONFH, a search query of DEGs was explored by using CMap.

RESULTS

Filtering revealed 1937 DEGs with log (fold-change) ≥1 and adjust P value < 0.001. Finally, a network of candidate targets for ONFH with 135 nodes and 660 edges was constructed through network topology analysis, including 96 up-regulated genes and 39 down-regulated genes. Several significant gene functions and signaling pathways associated with pathological processes of ONFH were identified via gene enrichment analysis. Based on the CMap database, some potential small molecular components that may be possible to counteract the effects of molecular signal imbalance for ONFH were identified. Neostigmine bromide with low CMap score and P value and specificity score was predicted to be the most candidate compound, involved in the "positive regulation of stem cell proliferation," "regulation of protein autophosphorylation," "VEGF signaling pathway," and "ECM-receptor interaction."

CONCLUSIONS

The GEO and CMap databases can be effectively used in understanding the molecular changes in ONFH and provide a systematic manner to identify potential drugs for ONFH prevention and treatment. However, additional clinical and experimental research of the candidate compound is warranted.

摘要

目的

利用基因表达综合数据库(GEO)和连接图谱数据库(CMap)筛选治疗股骨头坏死(ONFH)的潜在治疗药物。

方法

从基因表达综合数据库(GEO)中获取 GSE74089 号数据集,该数据集包含了来自 4 例 ONFH 患者和 4 例健康对照者的 8 例髋关节软骨标本的原始基因数据。利用 R 软件对其进行整合,以识别差异表达基因(DEGs)。随后,通过 CMap 对 DEGs 进行搜索查询,以确定几种与 ONFH 最强烈负相关的潜在小分子化合物。

结果

筛选出 1937 个差异表达基因,其对数(fold-change)≥1,调整 P 值<0.001。最后,通过网络拓扑分析构建了一个 ONFH 候选靶点网络,包括 96 个上调基因和 39 个下调基因,共有 135 个节点和 660 个边。基因富集分析发现了一些与 ONFH 病理过程相关的重要基因功能和信号通路。基于 CMap 数据库,鉴定出一些可能对抗 ONFH 分子信号失衡的潜在小分子成分。溴新斯的明以低 CMap 评分、P 值和特异性评分被预测为最有前途的候选化合物,与“干细胞增殖的正调控”、“蛋白质自身磷酸化的调控”、“VEGF 信号通路”和“ECM-受体相互作用”有关。

结论

GEO 和 CMap 数据库可有效地用于了解 ONFH 的分子变化,并为鉴定预防和治疗 ONFH 的潜在药物提供系统的方法。然而,还需要对候选化合物进行更多的临床和实验研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a05d/6904644/4d11e95eadf2/OS-11-1209-g001.jpg

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