Department of Pathophysiology, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Department of Geriatric, Beijing Hospital, Beijing, China.
BMC Pulm Med. 2022 May 2;22(1):174. doi: 10.1186/s12890-022-01945-9.
Bronchial asthma is a heterogeneous disease with distinct disease phenotypes and underlying pathophysiological mechanisms. Long non-coding RNAs (lncRNAs) are involved in numerous functionally different biological and physiological processes. The aim of this study was to identify differentially expressed lncRNAs and mRNAs in patients with asthma and further explore the functions and interactions between lncRNAs and mRNAs.
Ten patients with asthma and 9 healthy controls were enrolled in this study. RNA was isolated from peripheral blood mononuclear cells. We performed microarray analysis to evaluate lncRNA and mRNA expression. The functions of the differentially expressed mRNAs were analyzed by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses. A global signal transduction network was constructed to identify the core mRNAs. An lncRNA-mRNA network was constructed. Five mRNAs showing the greatest differences in expression levels or high degrees in the gene-gene functional interaction network, with their correlated lncRNAs, were validated by real-time quantitative polymerase chain reaction.
We identified 2229 differentially expressed mRNAs and 1397 lncRNAs between the asthma and control groups. Kyoto Encyclopedia of Genes and Genomes pathway analysis identified many pathways associated with inflammation and cell survival. The gene-gene functional interaction network suggested that some core mRNAs are involved in the pathogenesis of bronchial asthma. The lncRNA-mRNA co-expression network revealed correlated lncRNAs. CXCL8, FOXO3, JUN, PIK3CA, and G0S2 and their related lncRNAs NONHSAT115963, AC019050.1, MTCYBP3, KB-67B5.12, and HNRNPA1P12 were identified according to their differential expression levels and high degrees in the gene-gene network.
We identified the core mRNAs and their related lncRNAs and predicted the biological processes and signaling pathways involved in asthma.
支气管哮喘是一种具有不同疾病表型和潜在病理生理机制的异质性疾病。长非编码 RNA（lncRNA）参与了许多功能不同的生物学和生理学过程。本研究旨在鉴定哮喘患者中差异表达的 lncRNA 和 mRNA，并进一步探讨 lncRNA 和 mRNA 之间的功能和相互作用。
本研究纳入了 10 例哮喘患者和 9 例健康对照者。从外周血单核细胞中提取 RNA。我们进行了微阵列分析以评估 lncRNA 和 mRNA 的表达。通过基因本体论和京都基因与基因组百科全书通路分析来分析差异表达的 mRNAs 的功能。构建了一个全局信号转导网络以鉴定核心 mRNAs。构建了 lncRNA-mRNA 网络。通过实时定量聚合酶链反应验证了表达水平差异最大或基因-基因功能互作网络中度数最高的 5 个 mRNA 及其相关的 lncRNA。
我们在哮喘组和对照组之间鉴定出 2229 个差异表达的 mRNAs 和 1397 个 lncRNAs。京都基因与基因组百科全书通路分析鉴定出许多与炎症和细胞存活相关的通路。基因-基因功能互作网络提示一些核心 mRNAs 参与了支气管哮喘的发病机制。lncRNA-mRNA 共表达网络揭示了相关的 lncRNA。根据其在基因网络中的差异表达水平和高度数，鉴定出 CXCL8、FOXO3、JUN、PIK3CA 和 G0S2 及其相关的 lncRNA NONHSAT115963、AC019050.1、MTCYBP3、KB-67B5.12 和 HNRNPA1P12。
我们鉴定了核心 mRNAs 及其相关的 lncRNA，并预测了哮喘涉及的生物学过程和信号通路。
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