Exosomal Long Non-Coding RNAs in Lung Diseases

International Journal of Molecular Sciences

Christophe Poulet¹  Makon-Sébastien Njock¹  Michel Malaise¹  Renaud Louis²  Edouard Louis²  Julien Guiot²  Catherine Moermans³ 

[1] Department of Rheumatology, University Hospital of Liège (CHULiege), 4000 Liège, Belgium;Fibropôle Research Group, University Hospital of Liège (CHULiege), 4000 Liège, Belgium;GIGA-I3 Research Group, GIGA Institute, University of Liège (ULiege) and University Hospital of Liège (CHULiege), 4000 Liège, Belgium;

关键词: lncRNA;    H19;    MEG3;    MALAT1;    HOTAIR;    exosome;   

DOI  :  10.3390/ijms21103580

来源: DOAJ

【 摘 要 】

Within the non-coding genome landscape, long non-coding RNAs (lncRNAs) and their secretion within exosomes are a window that could further explain the regulation, the sustaining, and the spread of lung diseases. We present here a compilation of the current knowledge on lncRNAs commonly found in Chronic Obstructive Pulmonary Disease (COPD), asthma, Idiopathic Pulmonary Fibrosis (IPF), or lung cancers. We built interaction networks describing the mechanisms of action for COPD, asthma, and IPF, as well as private networks for H19, MALAT1, MEG3, FENDRR, CDKN2B-AS1, TUG1, HOTAIR, and GAS5 lncRNAs in lung cancers. We identified five signaling pathways targeted by these eight lncRNAs over the lung diseases mentioned above. These lncRNAs were involved in ten treatment resistances in lung cancers, with HOTAIR being itself described in seven resistances. Besides, five of them were previously described as promising biomarkers for the diagnosis and prognosis of asthma, COPD, and lung cancers. Additionally, we describe the exosomal-based studies on H19, MALAT1, HOTAIR, GAS5, UCA1, lnc-MMP2-2, GAPLINC, TBILA, AGAP2-AS1, and SOX2-OT. This review concludes on the need for additional studies describing the lncRNA mechanisms of action and confirming their potential as biomarkers, as well as their involvement in resistance to treatment, especially in non-cancerous lung diseases.

【 授权许可】

Unknown