Xinjiang Institute of Pediatrics, Children's Hospital of Xinjiang Uygur Autonomous Region, NO. 393, Aletai Road, Shayibake District, Urumqi, 830054, Xinjiang, China.
Department of Pediatrics, The Eighth Affiliated Hospital of Xinjiang Medical University, Urumqi, 830049, China.
Sci Rep. 2024 May 8;14(1):10595. doi: 10.1038/s41598-024-61451-2.
Delayed diagnosis in patients with pulmonary tuberculosis (PTB) often leads to serious public health problems. High throughput sequencing was used to determine the expression levels of lncRNAs, mRNAs, and miRNAs in the lesions and adjacent health lung tissues of patients with PTB. Their differential expression profiles between the two groups were compared, and 146 DElncRs, 447 DEmRs, and 29 DEmiRs were obtained between lesions and adjacent health tissues in patients with PTB. Enrichment analysis for mRNAs showed that they were mainly involved in Th1, Th2, and Th17 cell differentiation. The lncRNAs, mRNAs with target relationship with miRNAs were predicted respectively, and correlation analysis was performed. The ceRNA regulatory network was obtained by comparing with the differentially expressed transcripts (DElncRs, DEmRs, DEmiRs), then 2 lncRNAs mediated ceRNA networks were established. The expression of genes within the network was verified by quantitative real-time PCR (qRT-PCR). Flow cytometric analysis revealed that the proportion of Th1 cells and Th17 cells was lower in PTB than in controls, while the proportion of Th2 cells increased. Our results provide rich transcriptome data for a deeper investigation of PTB. The ceRNA regulatory network we obtained may be instructive for the diagnosis and treatment of PTB.
肺结核（PTB）患者的延迟诊断常常导致严重的公共卫生问题。高通量测序用于确定 PTB 患者病变和相邻健康肺组织中 lncRNAs、mRNAs 和 miRNAs 的表达水平。比较两组之间的差异表达谱，在 PTB 患者的病变和相邻健康组织之间获得了 146 个 DElncRs、447 个 DEmRs 和 29 个 DEmiRs。对 mRNAs 的富集分析表明，它们主要涉及 Th1、Th2 和 Th17 细胞分化。分别预测了与 miRNAs 具有靶关系的 lncRNAs 和 mRNAs，并进行了相关性分析。通过与差异表达转录物（DElncRs、DEmRs、DEmiRs）比较，获得了 ceRNA 调控网络，然后建立了 2 个 lncRNA 介导的 ceRNA 网络。通过定量实时 PCR（qRT-PCR）验证了网络内基因的表达。流式细胞术分析显示，PTB 患者中 Th1 细胞和 Th17 细胞的比例低于对照组，而 Th2 细胞的比例增加。我们的研究结果为深入研究 PTB 提供了丰富的转录组数据。我们获得的 ceRNA 调控网络可能对 PTB 的诊断和治疗具有指导意义。
