| Bioinformatics study and experimental evaluation of miR-182, and miR-34 expression profiles in Tuberculosis and lung cancer |
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Leila Alimardanian1, Bahram Mohammad Soltani2, Shiva Irani1, Mojgan Sheikhpour3 |
1Department of Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran
2Department of Molecular Genetics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran
3Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran |
Correspondence:
Mojgan Sheikhpour, Tel: +98-9122969712, +98 21 6411228, Fax: +98 21 64112313,
Email: mshaikhpoor@gmail.com
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Received: 23 October 2023 • Revised: 20 February 2024 • Accepted: 7 April 2024 |
| Abstract |
Background
Lung cancer is one of the most dangerous diseases among cancers and tuberculosis is one of the deadliest infectious diseases in the world. Many studies have mentioned the connection between lung cancer and tuberculosis, and also the microRNAs that play a significant role in the development of these two diseases. This study aims to use different databases to find effective miRNAs and their role on different genes on lung and tuberculosis diseases. Also determining the role of miR-34a and miR-182 in lung cancer and tuberculosis.
Methods
Using the GEO database, the influential microRNA databases were studied in two diseases. Finally, regarding bioinformatics results and literature studies, two miR-34a and miR-182 were selected. The role of these microRNAs and their target genes was carefully evaluated using bioinformatics. The expression of microRNAs in the blood plasma of patients with lung cancer and tuberculosis and healthy people were investigated.
Results
According to the GEO database, miR-34a and miR-182 are microRNAs that affect tuberculosis and lung cancer. By checking the miRBase, miRcode, Diana, miRDB, galaxy, KEGG databases, the role of these microRNAs on genes and different molecular pathways and their effect on these microRNAs were mentioned. The results of the present study showed that the expression of miR-34a and miR-182 was lower than that of healthy people. The P value amount for miR-182 was <0.0001 and for miR-34a was 0.3380.
Conclusion
Reducing the expression pattern of these microRNAs indicates their role in lung cancer and tuberculosis occurrence. Therefore, these microRNAs can be used as a biomarker for prognosis, diagnosis, and treatment methods. |
| Key Words:
Lung cancer, tuberculosis, microRNAs, expression profiles, bioinformatics |
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