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活动性肺结核中miRNA差异表达谱分析及潜在关键基因的鉴定

miRNA Differential Expression Profile Analysis and Identification of Potential Key Genes in Active Tuberculosis.

作者信息

Yang Jun, Dan Hanliang, Chen Yeng, Zou Linrong, Liu Shanshan, Wang Feng, Musa Maslinda Binti

机构信息

Faculty of Applied Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia.

Department of Laboratory Medicine, Guilin, Guangxi, China.

出版信息

J Cell Mol Med. 2025 May;29(10):e70567. doi: 10.1111/jcmm.70567.


DOI:10.1111/jcmm.70567
PMID:40387517
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12087295/
Abstract

Tuberculosis (TB), caused by Mycobacterium TB (MTB), remains a significant global health issue, particularly in developing nations. MicroRNAs (miRNAs) are non-coding RNAs (ncRNAs) that modulate immune responses and play a pivotal role in the pathogenesis of MTB by altering host immune defences. Insights into the regulatory functions of these miRNAs have revealed mechanisms through which MTB evades immune surveillance and establishes persistent infections, highlighting the critical role of miRNA networks in TB pathogenesis. The purpose of this study was to analyse miRNA expression in plasma from TB patients, to predict target genes, and to construct regulatory networks to elucidate the roles of miRNAs in TB pathogenesis. Plasma samples from three patients with active TB and three healthy controls were analysed using high-throughput small RNA sequencing. DEMs were identified using DESeq2, and target genes were predicted via TargetScan and miRWalk. Protein-protein interaction (PPI) networks were constructed using STRING and Cytoscape. Functional enrichment analyses were performed using Gene Ontology (GO) and KEGG databases. A total of 23 DEMs were identified, including 17 upregulated and 6 downregulated miRNAs. hsa-miR-15a-5p emerged as the most significantly upregulated miRNA. PPI network analysis highlighted CCND1, CDK6 and CCND2 as central genes, potentially regulated by miR-15a-5p. GO and KEGG analyses revealed enrichment in pathways related to cell cycle regulation, kinase activity and protein complex formation, suggesting their involvement in TB pathogenesis. This study identifies hsa-miR-15a-5p and its target genes as key components in the regulatory landscape of TB. These findings offer new insights into the molecular mechanisms of TB and propose potential biomarkers and therapeutic targets for future research.

摘要

由结核分枝杆菌(MTB)引起的结核病(TB)仍然是一个重大的全球健康问题,在发展中国家尤为如此。微小RNA(miRNA)是非编码RNA(ncRNA),可调节免疫反应,并通过改变宿主免疫防御在MTB的发病机制中起关键作用。对这些miRNA调节功能的深入了解揭示了MTB逃避免疫监视并建立持续性感染的机制,突出了miRNA网络在结核病发病机制中的关键作用。本研究的目的是分析结核病患者血浆中的miRNA表达,预测靶基因,并构建调控网络以阐明miRNA在结核病发病机制中的作用。使用高通量小RNA测序分析了三名活动性结核病患者和三名健康对照的血浆样本。使用DESeq2鉴定差异表达的miRNA(DEM),并通过TargetScan和miRWalk预测靶基因。使用STRING和Cytoscape构建蛋白质-蛋白质相互作用(PPI)网络。使用基因本体论(GO)和KEGG数据库进行功能富集分析。共鉴定出23个DEM,包括17个上调的miRNA和6个下调的miRNA。hsa-miR-15a-5p是上调最显著的miRNA。PPI网络分析突出显示CCND1、CDK6和CCND2为中心基因,可能受miR-15a-5p调控。GO和KEGG分析显示,与细胞周期调控、激酶活性和蛋白质复合物形成相关的途径富集,表明它们参与了结核病的发病机制。本研究确定hsa-miR-15a-5p及其靶基因是结核病调控格局中的关键组成部分。这些发现为结核病的分子机制提供了新的见解,并为未来的研究提出了潜在的生物标志物和治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c72/12087295/1cd0e9d2a5ef/JCMM-29-e70567-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c72/12087295/03dc3e028c7e/JCMM-29-e70567-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c72/12087295/f3c02ee3b02b/JCMM-29-e70567-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c72/12087295/1cd0e9d2a5ef/JCMM-29-e70567-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c72/12087295/03dc3e028c7e/JCMM-29-e70567-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c72/12087295/f3c02ee3b02b/JCMM-29-e70567-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c72/12087295/1cd0e9d2a5ef/JCMM-29-e70567-g001.jpg

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miRNA Differential Expression Profile Analysis and Identification of Potential Key Genes in Active Tuberculosis.

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本文引用的文献

[1]
From immunology to artificial intelligence: revolutionizing latent tuberculosis infection diagnosis with machine learning.

Mil Med Res. 2023-11-28

[2]
Forecasting New Tuberculosis Cases in Malaysia: A Time-Series Study Using the Autoregressive Integrated Moving Average (ARIMA) Model.

Cureus. 2023-9-4

[3]
Differential Expression of miR-146 and miR-155 in Active and Latent Tuberculosis Infection.

Iran J Public Health. 2023-8

[4]
Integrated bioinformatics analysis of dendritic cells hub genes reveal potential early tuberculosis diagnostic markers.

BMC Med Genomics. 2023-9-8

[5]
Role of miR-15a-5p and miR-199a-3p in the inflammatory pathway regulated by NF-κB in experimental and human atherosclerosis.

Clin Transl Med. 2023-8

[6]
Regulation of cGAS and STING signaling during inflammation and infection.

J Biol Chem. 2023-7

[7]
Role of non-coding RNAs in tuberculosis and their potential for clinical applications.

J Appl Microbiol. 2023-6-1

[8]
nc-RNA-mediated high expression of CDK6 correlates with poor prognosis and immune infiltration in pancreatic cancer.

Cancer Med. 2023-2

[9]
PRKCA Promotes Mitophagy through the miR-15a-5p/PDK4 Axis to Relieve Sepsis-Induced Acute Lung Injury.

Infect Immun. 2023-1-24

[10]
MicroRNAs as immune regulators and biomarkers in tuberculosis.

Front Immunol. 2022

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