A computational approach for the identification of key genes and biological pathways of chronic lung diseases: a systems biology approach
Abstract Background Chronic lung diseases are characterized by impaired lung function. Given that many diseases have shared clinical symptoms and pathogenesis, identifying shared pathogenesis can help the design of preventive and therapeutic strategies. This study aimed to evaluate the proteins and...
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| Format: | Article |
| Language: | English |
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BMC
2023-07-01
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| Series: | BMC Medical Genomics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12920-023-01596-7 |
| _version_ | 1797784371330023424 |
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| author | Hadi Rezaeeyan B. Fatemeh Nobakht M. Gh Masoud Arabfard |
| author_facet | Hadi Rezaeeyan B. Fatemeh Nobakht M. Gh Masoud Arabfard |
| author_sort | Hadi Rezaeeyan |
| collection | DOAJ |
| description | Abstract Background Chronic lung diseases are characterized by impaired lung function. Given that many diseases have shared clinical symptoms and pathogenesis, identifying shared pathogenesis can help the design of preventive and therapeutic strategies. This study aimed to evaluate the proteins and pathways of chronic obstructive pulmonary disease (COPD), asthma, idiopathic pulmonary fibrosis (IPF), and mustard lung disease (MLD). Methods and results After collecting the data and determining the gene list of each disease, gene expression changes were examined in comparison to healthy individuals. Protein–protein interaction (PPI) and pathway enrichment analysis were used to evaluate genes and shared pathways of the four diseases. There were 22 shared genes, including ACTB, AHSG, ALB, APO, A1, APO C3, FTH1, GAPDH, GC, GSTP1, HP, HSPB1, IGKC, KRT10, KRT9, LCN1, PSMA2, RBP4, 100A8, S100A9, TF, and UBE2N. The major biological pathways in which these genes are involved are inflammatory pathways. Some of these genes activate different pathways in each disease, leading to the induction or inhibition of inflammation. Conclusion Identification of the genes and shared pathways of diseases can contribute to identifying pathogenesis pathways and designing preventive and therapeutic strategies. |
| first_indexed | 2024-03-13T00:38:56Z |
| format | Article |
| id | doaj.art-a2a7fe6c2df3480f8e25a0de3d9d0493 |
| institution | Directory Open Access Journal |
| issn | 1755-8794 |
| language | English |
| last_indexed | 2024-03-13T00:38:56Z |
| publishDate | 2023-07-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Medical Genomics |
| spelling | doaj.art-a2a7fe6c2df3480f8e25a0de3d9d04932023-07-09T11:27:29ZengBMCBMC Medical Genomics1755-87942023-07-0116111110.1186/s12920-023-01596-7A computational approach for the identification of key genes and biological pathways of chronic lung diseases: a systems biology approachHadi Rezaeeyan0B. Fatemeh Nobakht M. Gh1Masoud Arabfard2Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical SciencesChemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical SciencesChemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical SciencesAbstract Background Chronic lung diseases are characterized by impaired lung function. Given that many diseases have shared clinical symptoms and pathogenesis, identifying shared pathogenesis can help the design of preventive and therapeutic strategies. This study aimed to evaluate the proteins and pathways of chronic obstructive pulmonary disease (COPD), asthma, idiopathic pulmonary fibrosis (IPF), and mustard lung disease (MLD). Methods and results After collecting the data and determining the gene list of each disease, gene expression changes were examined in comparison to healthy individuals. Protein–protein interaction (PPI) and pathway enrichment analysis were used to evaluate genes and shared pathways of the four diseases. There were 22 shared genes, including ACTB, AHSG, ALB, APO, A1, APO C3, FTH1, GAPDH, GC, GSTP1, HP, HSPB1, IGKC, KRT10, KRT9, LCN1, PSMA2, RBP4, 100A8, S100A9, TF, and UBE2N. The major biological pathways in which these genes are involved are inflammatory pathways. Some of these genes activate different pathways in each disease, leading to the induction or inhibition of inflammation. Conclusion Identification of the genes and shared pathways of diseases can contribute to identifying pathogenesis pathways and designing preventive and therapeutic strategies.https://doi.org/10.1186/s12920-023-01596-7Systems biologyCOPDIPFAsthmaProtein–protein interaction networkMustard lung disease |
| spellingShingle | Hadi Rezaeeyan B. Fatemeh Nobakht M. Gh Masoud Arabfard A computational approach for the identification of key genes and biological pathways of chronic lung diseases: a systems biology approach BMC Medical Genomics Systems biology COPD IPF Asthma Protein–protein interaction network Mustard lung disease |
| title | A computational approach for the identification of key genes and biological pathways of chronic lung diseases: a systems biology approach |
| title_full | A computational approach for the identification of key genes and biological pathways of chronic lung diseases: a systems biology approach |
| title_fullStr | A computational approach for the identification of key genes and biological pathways of chronic lung diseases: a systems biology approach |
| title_full_unstemmed | A computational approach for the identification of key genes and biological pathways of chronic lung diseases: a systems biology approach |
| title_short | A computational approach for the identification of key genes and biological pathways of chronic lung diseases: a systems biology approach |
| title_sort | computational approach for the identification of key genes and biological pathways of chronic lung diseases a systems biology approach |
| topic | Systems biology COPD IPF Asthma Protein–protein interaction network Mustard lung disease |
| url | https://doi.org/10.1186/s12920-023-01596-7 |
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