Non-Coding RNAs in Airway Diseases: A Brief Overview of Recent Data.
Giusy Daniela AlbanoRosalia GagliardoAngela Marina MontalbanoMirella ProfitaPublished in: Cancers (2022)
Inflammation of the human lung is mediated in response to different stimuli (e.g., physical, radioactive, infective, pro-allergenic, or toxic) such as cigarette smoke and environmental pollutants. These stimuli often promote an increase in different inflammatory activities in the airways, manifesting themselves as chronic diseases (e.g., allergic airway diseases, asthma chronic bronchitis/chronic obstructive pulmonary disease, or even lung cancer). Non-coding RNA (ncRNAs) are single-stranded RNA molecules of few nucleotides that regulate the gene expression involved in many cellular processes. ncRNA are molecules typically involved in the reduction of translation and stability of the genes of mRNAs s. They regulate many biological aspects such as cellular growth, proliferation, differentiation, regulation of cell cycle, aging, apoptosis, metabolism, and neuronal patterning, and influence a wide range of biologic processes essential for the maintenance of cellular homeostasis. The relevance of ncRNAs in the pathogenetic mechanisms of respiratory diseases has been widely established and in the last decade many papers were published. However, once their importance is established in pathogenetic mechanisms, it becomes important to further deepen the research in this direction. In this review we describe several of most recent knowledge concerning ncRNA (overall miRNAs) expression and activities in the lung.
Keyphrases
- cell cycle
- chronic obstructive pulmonary disease
- oxidative stress
- gene expression
- cell proliferation
- lung function
- healthcare
- dna methylation
- cystic fibrosis
- signaling pathway
- mental health
- cell death
- physical activity
- genome wide
- allergic rhinitis
- endoplasmic reticulum stress
- long non coding rna
- machine learning
- blood brain barrier
- human health
- cerebral ischemia
- atopic dermatitis
- brain injury
- drug induced
- data analysis
- artificial intelligence
- pi k akt