Integrative analysis of the contribution of mRNAs and long non‑coding RNAs to the pathogenesis of asthma

Liu,Xiaochuang; Zhang,Yanyan; Jiang,Hui; Jiang,Nannan; Gao,Jiarong

doi:10.3892/mmr.2019.10511

Integrative analysis of the contribution of mRNAs and long non‑coding RNAs to the pathogenesis of asthma

Authors:
- Xiaochuang Liu
- Yanyan Zhang
- Hui Jiang
- Nannan Jiang
- Jiarong Gao
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Affiliations: Department of Pharmacy, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui 230031, P.R. China, Department of Pharmacy, Anhui Medical College, Hefei, Anhui 230601, P.R. China, Department of Pharmacy, Anhui University of Chinese Medicine, Hefei, Anhui 230012, P.R. China
Published online on: July 19, 2019 https://doi.org/10.3892/mmr.2019.10511
Pages: 2617-2624
Copyright: © Liu et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Asthma, a common but poorly controlled disease, is one of the most serious health problems worldwide; however, the mechanisms underlying the development of asthma remain unknown. Long non‑coding RNAs (lncRNAs) and mRNAs serve important roles in the initiation and progression of various diseases. The present study aimed to investigate the role of differentially expressed lncRNAs and mRNAs associated with asthma. Differentially expressed lncRNAs and mRNAs were screened between the expression data of 62 patients with asthma and 43 healthy controls. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed to investigate the biological functions and pathways associated with the lncRNAs and mRNAs identified. Protein‑protein interaction (PPI) networks were subsequently generated. In addition, lncRNA‑mRNA weighted co‑expression networks were obtained. In total, 159 differentially expressed lncRNAs and 1,261 mRNAs were identified. GO and KEGG analyses revealed that differentially expressed mRNAs regulated asthma by participating in the ‘vascular endothelial (VEGF) signaling pathway’, ‘oxidative phosphorylation’, ‘Fc ε RI signaling pathway’, ‘amino sugar and nucleotide sugar metabolism’, ‘histidine metabolism’, ‘β‑alanine metabolism’ and ‘extracellular matrix‑receptor interaction’ (P<0.05). Furthermore, protein kinase B 1 had the highest connectivity degree in the PPI network, and was significantly enriched in the ‘VEGF signaling pathway’ and ‘Fc ε RI signaling pathway’. A total of 8 lncRNAs in the lncRNA‑mRNA co‑expression network were reported to interact with 52 differentially expressed genes, which were enriched in asthma‑associated GO and KEGG pathways. The results obtained in the present study may provide insight into the profile of differentially expressed lncRNAs associated with asthma. The identification of a cluster of dysregulated lncRNAs and mRNAs may serve as a potential therapeutic strategy to reverse the progression of asthma.

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