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脊髓损伤所致骨质疏松症的药物发现:一项基于文本挖掘的研究。

Drug discovery in spinal cord injury-induced osteoporosis: a text mining-based study.

作者信息

Wang Chenfeng, Xu Yang, Han Lin, Wu Weiqing, Lu Xuhua

机构信息

Department of Orthopaedics, Shanghai Changzheng Hospital, Shanghai, China.

Department of Orthopaedics, Xiamen University, Xiamen, China.

出版信息

Ann Transl Med. 2022 Jul;10(13):733. doi: 10.21037/atm-21-6900.

DOI:10.21037/atm-21-6900
PMID:35957736
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9358497/
Abstract

BACKGROUND

Spinal cord injury (SCI) and osteoporosis (OP) are common diseases in spine surgery, and OP could be the complication of SCI. However, SCI-induced OP is a complex pathologic process and drug discovery is limited, which restricts the study in the mechanism and treatment of the disease. This study aims to identify the genes and molecular pathways related to SCI-induced OP through computational tools and public datasets, and to explore drug targeting therapy, ultimately preventing the occurrence of OP after SCI.

METHODS

In this study, common genes related to SCI and OP were obtained by text mining, then which conducted the functional analysis. Protein-protein interaction (PPI) networks were constructed by STRING online and Cytoscape software. Finally, core genes and potential drugs were performed after undergoing drug-gene interaction analysis which also completed functional analysis.

RESULTS

A total of 371 genes common to 'SCI' and 'OP' were identified by text mining. After functional analysis, 207 significant genes were screened out. Subsequently, PPI analysis yielded 23 genes targetable by 13 drugs which were the candidate to treat SCI-induced OP.

CONCLUSIONS

Taken together, siltuximab, olokizumab, clazakizumab and BAN2401 were first discovered to become the potential drugs for the treatment of SCI-induced OP. Drug discovery using text mining and pathway analysis is a significant way to investigate the pathomechanism of the disease while exploring existing drugs to treat the disease.

摘要

背景

脊髓损伤(SCI)和骨质疏松症(OP)是脊柱外科常见疾病,OP可能是SCI的并发症。然而,SCI诱导的OP是一个复杂的病理过程,药物研发有限,这限制了对该疾病机制和治疗的研究。本研究旨在通过计算工具和公共数据集识别与SCI诱导的OP相关的基因和分子途径,并探索药物靶向治疗,最终预防SCI后OP的发生。

方法

在本研究中,通过文本挖掘获得与SCI和OP相关的常见基因,然后进行功能分析。利用STRING在线工具和Cytoscape软件构建蛋白质-蛋白质相互作用(PPI)网络。最后,在进行药物-基因相互作用分析并完成功能分析后,确定核心基因和潜在药物。

结果

通过文本挖掘共鉴定出371个“SCI”和“OP”共有的基因。功能分析后,筛选出207个显著基因。随后,PPI分析产生了23个可被13种药物靶向的基因,这些药物是治疗SCI诱导的OP的候选药物。

结论

综上所述,首次发现西妥昔单抗、奥洛珠单抗、克拉扎珠单抗和BAN2401成为治疗SCI诱导的OP的潜在药物。利用文本挖掘和通路分析进行药物发现是研究疾病发病机制的重要途径,同时也有助于探索现有药物治疗该疾病。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a443/9358497/cd2716cda4e6/atm-10-13-733-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a443/9358497/ec16f4e78ba1/atm-10-13-733-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a443/9358497/3baa8d4993d9/atm-10-13-733-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a443/9358497/3ca98e12739b/atm-10-13-733-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a443/9358497/cd2716cda4e6/atm-10-13-733-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a443/9358497/ec16f4e78ba1/atm-10-13-733-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a443/9358497/3baa8d4993d9/atm-10-13-733-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a443/9358497/3ca98e12739b/atm-10-13-733-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a443/9358497/cd2716cda4e6/atm-10-13-733-f4.jpg

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