Long Noncoding RNAs in the Regulation of Asthma: Current Research and Clinical Implications

Zhu, Xueyi; Wei, Ying; Dong, Jingcheng

doi:10.3389/fphar.2020.532849

Cited by 22 publications

(14 citation statements)

References 100 publications

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“… 85 The miR‐203a targets the 3′‐untranslated region of E2F transcription factor 3 (E2F3), a positive regulator, that be involved in DNA replication by stimulating the entry of quiescent cells into the G1/S phase of the cell cycle. 86 , 87 Therefore, down regulation of lnc‐PVT1 has positive effect on the treatment of RSV infection.…”

Section: Long Noncoding Rnasmentioning

confidence: 99%

Long noncoding RNAs in respiratory viruses: A review

Kesheh

Mahmoudvand

Shokri

2021

Reviews in Medical Virology

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Long noncoding RNAs (lncRNAs) are defined as RNA molecules longer than 200 nucleotides that can regulate gene expression at the transcriptional or post‐transcriptional levels. Both human lncRNAs and lncRNAs encoded by viruses can modulate the expression of host genes which are critical for viral replication, latency, activation of signalling pathways, cytokine and chemokine production, RNAi processing, expression of interferons (IFNs) and interferon‐stimulated genes (ISGs). Studies on lncRNAs as key regulators of host‐virus interactions may give new insights into therapeutic strategies for the treatment of related diseases. This current review focuses on the role of lncRNAs, and their interactions with respiratory viruses including influenza A virus (IAV), respiratory syncytial virus (RSV) and severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2).

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Section: Long Noncoding Rnasmentioning

confidence: 99%

Long noncoding RNAs in respiratory viruses: A review

Kesheh

Mahmoudvand

Shokri

2021

Reviews in Medical Virology

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“…Based on these data, several studies have shown that lncRNAs are involved in a variety of biological and physiological processes and are directly related to various cancers, coronary artery disease, and many other diseases affecting humans [ 6 – 8 ]. It is reported that LncRNAs also play many regulatory roles in the pathological process of asthma, including helper T cell (Th)1/Th2 imbalance, eosinophil dysfunction, macrophage polarization, airway smooth muscle cell proliferation and glucocorticoid insensitivity [ 9 ]. Technological advances have allowed for a better understanding of the complex pathogenesis of asthma.…”

Section: Introductionmentioning

confidence: 99%

Integrated analysis of mRNA and long noncoding RNA profiles in peripheral blood mononuclear cells of patients with bronchial asthma

et al. 2022

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Background 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. Methods 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. Results 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. Conclusions We identified the core mRNAs and their related lncRNAs and predicted the biological processes and signaling pathways involved in asthma.

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“…This study generates new insights into the pathogenesis of asthma by integrating disease characteristics, pathways, and SNPs information. Three typical disease characteristics were scrupulously determined according to the summary of asthma characteristics in classic retrospective articles ( Papi et al, 2018 ; Zhu et al, 2020b ), i.e., airway inflammation, airway hyperresponsiveness, and airway remodeling, etc. A contemporary catalog of corresponding risk transcriptome including mRNAs, miRNAs, and lncRNAs was manually established.…”

Section: Introductionmentioning

confidence: 99%

Multiplex-Heterogeneous Network-Based Capturing Potential SNP “Switches” of Pathways Associating With Diverse Disease Characteristics of Asthma

Ran

Zhang

Fan

et al. 2021

Front. Cell Dev. Biol.

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Asthma is a complex heterogeneous respiratory disorder. In recent years nubbly regions of the role of genetic variants and transcriptome including mRNAs, microRNAs, and long non-coding RNAs in the pathogenesis of asthma have been separately excavated and reported. However, how to systematically integrate and decode this scattered information remains unclear. Further exploration would improve understanding of the internal communication of asthma. To excavate new insights into the pathogenesis of asthma, we ascertained three asthma characteristics according to reviews, airway inflammation, airway hyperresponsiveness, and airway remodeling. We manually created a contemporary catalog of corresponding risk transcriptome, including mRNAs, miRNAs, and lncRNAs. MIMP is a multiplex-heterogeneous networks-based approach, measuring the relevance of disease characteristics to the pathway by examining the similarity between the determined vectors of risk transcriptome and pathways in the same low-dimensional vector space. It was developed to enable a more concentrated and in-depth exploration of potential pathways. We integrated experimentally validated competing endogenous RNA regulatory information and the SNPs with significant pathways into the ceRNA-mediated SNP switching pathway network (CSSPN) to analyze ceRNA regulation of pathways and the role of SNP in these dysfunctions. We discovered 11 crucial ceRNA regulations concerning asthma disease feature pathway and propose a potential mechanism of ceRNA regulatory SNP → gene → pathway → disease feature effecting asthma pathogenesis, especially for MALAT1 (rs765499057/rs764699354/rs189435941) → hsa-miR-155 → IL13 (rs201185816/rs1000978586/rs202101165) → Interleukin-4 and Interleukin-13 signaling → inflammation/airway remodeling and MALAT1 (rs765499057/rs764699354/rs189435941) → hsa-miR-155 → IL17RB (rs948046241) → Interleukin-17 signaling (airway remodeling)/Cytokine-cytokine receptor interaction (inflammation). This study showed a systematic and propagable workflow for capturing the potential SNP “switch” of asthma through text and database mining and provides further information on the pathogenesis of asthma.

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Long Noncoding RNAs in the Regulation of Asthma: Current Research and Clinical Implications

Cited by 22 publications

References 100 publications

Long noncoding RNAs in respiratory viruses: A review

Long noncoding RNAs in respiratory viruses: A review

Integrated analysis of mRNA and long noncoding RNA profiles in peripheral blood mononuclear cells of patients with bronchial asthma

Multiplex-Heterogeneous Network-Based Capturing Potential SNP “Switches” of Pathways Associating With Diverse Disease Characteristics of Asthma

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