与结核病治疗反应相关的 circRNA-miRNA-mRNA 调控网络。
A circRNA-miRNA-mRNA regulatory network associated with the treatment response to tuberculosis.
机构信息
Department of Respiratory and Critical Care Medicine, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
Department of Emergency, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
出版信息
Microb Pathog. 2021 Jan;150:104672. doi: 10.1016/j.micpath.2020.104672. Epub 2020 Dec 7.
OBJECTIVES
The high morbidity and mortality of tuberculosis (TB) have severe socio-economic consequences, and there is an urgent need to explore the mechanisms driving TB development and progression. The aim of this study was to analyze the regulatory RNAs and target genes involved in TB, in order to identify key genetic biomarkers for diagnosing and treating TB.
METHODS
Circular RNAs (circRNAs), microRNAs (miRNAs) and messenger RNA (mRNAs) expression profiles of TB patients and healthy controls were downloaded from the GEO database. A circRNA-miRNA-mRNA competing endogenous RNA (ceRNA) network was constructed using the differentially expressed circRNAs (DEcircRNAs), miRNAs (DEmiRNAs), and mRNAs (DEmRNAs). The DEmRNAs in this network were functionally annotated using GO and KEGG analyses, and ordinal regression analysis was used to identify the genes correlated to the treatment response in TB patients.
RESULTS
We identified 133 DEmRNAs, 37 DEcircRNAs and 173 DEmiRNAs between the TB and healthy controls, from which 30 DECircRNAs, 27 DEmiRNAs and 35 DEmRNAs were used to construct the ceRNA network. CACNA1I, IGF2BP3, LPCAT2, SPOCK2 and IRF2 were significantly correlated with the anti-TB therapeutic response (P < 0.05).
CONCLUSION
A TB-associated DEcircRNA-miRNA-mRNA ceRNA network was constructed, of which some DEmRNAs potentially influence the treatment response.
目的
结核病（TB）的高发病率和死亡率给社会经济带来了严重的后果，因此迫切需要探索导致 TB 发展和进展的机制。本研究旨在分析与 TB 相关的调控 RNA 和靶基因，以确定诊断和治疗 TB 的关键遗传生物标志物。
方法
从 GEO 数据库中下载了 TB 患者和健康对照者的环状 RNA（circRNA）、微小 RNA（miRNA）和信使 RNA（mRNA）表达谱。使用差异表达的 circRNA（DEcircRNA）、miRNA（DEmiRNA）和 mRNA（DEmRNA）构建 circRNA-miRNA-mRNA 竞争内源性 RNA（ceRNA）网络。使用 GO 和 KEGG 分析对该网络中的 DEmRNAs 进行功能注释，并使用有序回归分析鉴定与 TB 患者治疗反应相关的基因。
结果
我们在 TB 患者和健康对照者之间鉴定出了 133 个 DEmRNAs、37 个 DEcircRNAs 和 173 个 DEmiRNAs，其中 30 个 DECircRNAs、27 个 DEmiRNAs 和 35 个 DEmRNAs 用于构建 ceRNA 网络。CACNA1I、IGF2BP3、LPCAT2、SPOCK2 和 IRF2 与抗 TB 治疗反应显著相关（P<0.05）。
结论
构建了一个与 TB 相关的 DEcircRNA-miRNA-mRNA ceRNA 网络，其中一些 DEmRNAs 可能影响治疗反应。
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