A bird eye view on cystic fibrosis: An underestimated multifaceted chronic disorder.


Journal

Life sciences
ISSN: 1879-0631
Titre abrégé: Life Sci
Pays: Netherlands
ID NLM: 0375521

Informations de publication

Date de publication:
01 Mar 2021
Historique:
received: 06 11 2020
revised: 15 12 2020
accepted: 17 12 2020
pubmed: 1 1 2021
medline: 16 2 2021
entrez: 31 12 2020
Statut: ppublish

Résumé

Cystic fibrosis (CF) is an autosomal recessive disease which involves the mutations in the cystic fibrosis transmembrane conductance regulator (CFTR) gene. CF involves in the inflammatory processes and is considered as a multisystem disorder that is not confined to lungs, but it also affects other vital organs that leads to numerous co-morbidities. The respiratory disorder in the CF results in mortality and morbidity which is characterized by series of serious events involving mucus hypersecretion, microbial infections, airways obstruction, inflammation, destruction of epithelium, tissue remodeling and terminal lung diseases. Mucins are the high molecular weight glycoproteins important for the viscoelastic properties of the mucus, play a significant role in the disease mechanisms. Determining the functional association between the CFTR and mucins might help to identify the putative target for specific therapeutic approach. In fact, furin enzyme which helps in the entry of novel COVID-19 virus into the cell, is upregulated in CF and this can also serve as a potential target for CF treatment. Moreover, the use of nano-formulations for CF treatment is an area of research being widely studied as they have also demonstrated promising outcomes. The in-depth knowledge of non-coding RNAs like miRNAs and lncRNAs and their functional association with CFTR gene expression and mutation can provide a different range of opportunity to identify the promising therapeutic approaches for CF.

Identifiants

pubmed: 33383045
pii: S0024-3205(20)31719-7
doi: 10.1016/j.lfs.2020.118959
pii:
doi:

Substances chimiques

CFTR protein, human 0
MicroRNAs 0
Mucins 0
RNA, Long Noncoding 0
Cystic Fibrosis Transmembrane Conductance Regulator 126880-72-6

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

118959

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Auteurs

Sudhir Kotnala (S)

Department of Immunology and Microbiology, School of Medicine, The University of Texas Rio Grande Valley, McAllen, TX 78504, USA; South Texas Center of Excellence in Cancer Research, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX 78504, USA.

Anupam Dhasmana (A)

Department of Immunology and Microbiology, School of Medicine, The University of Texas Rio Grande Valley, McAllen, TX 78504, USA; South Texas Center of Excellence in Cancer Research, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX 78504, USA.

Vivek K Kashyap (VK)

Department of Immunology and Microbiology, School of Medicine, The University of Texas Rio Grande Valley, McAllen, TX 78504, USA; South Texas Center of Excellence in Cancer Research, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX 78504, USA.

Subhash C Chauhan (SC)

Department of Immunology and Microbiology, School of Medicine, The University of Texas Rio Grande Valley, McAllen, TX 78504, USA; South Texas Center of Excellence in Cancer Research, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX 78504, USA.

Murali M Yallapu (MM)

Department of Immunology and Microbiology, School of Medicine, The University of Texas Rio Grande Valley, McAllen, TX 78504, USA; South Texas Center of Excellence in Cancer Research, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX 78504, USA.

Meena Jaggi (M)

Department of Immunology and Microbiology, School of Medicine, The University of Texas Rio Grande Valley, McAllen, TX 78504, USA; South Texas Center of Excellence in Cancer Research, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX 78504, USA. Electronic address: meena.jaggi@utrgv.edu.

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Classifications MeSH