Identification of biomarkers and genetic approaches toward chronic obstructive pulmonary disease.
Ridhima WadhwaTaru AggarwalVamshikrishna MalylaNitesh KumarGaurav GuptaDinesh Kumar ChellappanHarish DurejaMeenu MehtaSaurabh SatijaMonica GulatiPawan Kumar MauryaTrudi ColletPhilip Michael HansbroKamal DuaPublished in: Journal of cellular physiology (2019)
Chronic obstructive pulmonary disease accounts as the leading cause of mortality worldwide prominently affected by genetic and environmental factors. The disease is characterized by persistent coughing, breathlessness airways inflammation followed by a decrease in forced expiratory volume1 and exacerbations, which affect the quality of life. Determination of genetic, epigenetic, and oxidant biomarkers to evaluate the progression of disease has proved complicated and challenging. Approaches including exome sequencing, genome-wide association studies, linkage studies, and inheritance and segregation studies played a crucial role in the identification of genes, their pathways and variation in genes. This review highlights multiple approaches for biomarker and gene identification, which can be used for differential diagnosis along with the genome editing tools to study genes associated with the development of disease and models their function. Further, we have discussed the approaches to rectify the abnormal gene functioning of respiratory tissues and various novel gene editing techniques like Zinc finger nucleases (ZFN), transcription activator-like effector nucleases (TALEN), and clustered regulatory interspaced short palindromic repeats/CRISPR-associated protein 9 (CRISPR/Cas9).
Keyphrases
- genome editing
- crispr cas
- genome wide
- chronic obstructive pulmonary disease
- copy number
- dna methylation
- bioinformatics analysis
- mitochondrial dna
- genome wide identification
- cystic fibrosis
- gene expression
- lung function
- transcription factor
- genome wide association
- oxidative stress
- case control
- cardiovascular events
- coronary artery disease
- risk factors
- genome wide analysis
- cardiovascular disease
- molecularly imprinted
- human immunodeficiency virus
- hepatitis c virus
- mass spectrometry
- mechanical ventilation
- respiratory tract