Identification of host immune-related biomarkers in active tuberculosis: A comprehensive analysis of differentially expressed genes
Tuberculosis (TB) is a serious public health issue in India. Numerous molecular mechanisms and immunological responses play significant roles in the pathogenesis of tuberculosis. This study aimed to identify host immune-related biomarkers that are significantly differentially expressed in active TB...
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| Published in: | Tuberculosis (Edinburgh, Scotland) Vol. 148; p. 102538 |
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| Abstract | Tuberculosis (TB) is a serious public health issue in India. Numerous molecular mechanisms and immunological responses play significant roles in the pathogenesis of tuberculosis. This study aimed to identify host immune-related biomarkers that are significantly differentially expressed in active TB and that play a vital role in disease progression. The methodology employed in this study included data collection, pre-processing, analysis, and interpretation of the results. Six microarray datasets were used to identify differentially expressed genes (DEGs), and only the common DEGs were used for further downstream analysis, such as hub gene identification, gene ontology, pathway enrichment analysis, and drug-gene interaction analysis. The study identified 1728 DEGs, including 906 upregulated and 822 downregulated genes. Five hub genes were identified that were: STAT1, GBP5, GBP1, FCGR1A, and BATF2. Gene ontology and pathway enrichment revealed that most of the genes were involved in interferon-gamma signaling. In addition, through drug-gene interactions, known drugs have been identified for STAT1, FCGR1A and GBP1. The findings of this study may contribute to early detection and treatment of active TB. |
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| AbstractList | Tuberculosis (TB) is a serious public health issue in India. Numerous molecular mechanisms and immunological responses play significant roles in the pathogenesis of tuberculosis. This study aimed to identify host immune-related biomarkers that are significantly differentially expressed in active TB and that play a vital role in disease progression. The methodology employed in this study included data collection, pre-processing, analysis, and interpretation of the results. Six microarray datasets were used to identify differentially expressed genes (DEGs), and only the common DEGs were used for further downstream analysis, such as hub gene identification, gene ontology, pathway enrichment analysis, and drug-gene interaction analysis. The study identified 1728 DEGs, including 906 upregulated and 822 downregulated genes. Five hub genes were identified that were: STAT1, GBP5, GBP1, FCGR1A, and BATF2. Gene ontology and pathway enrichment revealed that most of the genes were involved in interferon-gamma signaling. In addition, through drug-gene interactions, known drugs have been identified for STAT1, FCGR1A and GBP1. The findings of this study may contribute to early detection and treatment of active TB.Tuberculosis (TB) is a serious public health issue in India. Numerous molecular mechanisms and immunological responses play significant roles in the pathogenesis of tuberculosis. This study aimed to identify host immune-related biomarkers that are significantly differentially expressed in active TB and that play a vital role in disease progression. The methodology employed in this study included data collection, pre-processing, analysis, and interpretation of the results. Six microarray datasets were used to identify differentially expressed genes (DEGs), and only the common DEGs were used for further downstream analysis, such as hub gene identification, gene ontology, pathway enrichment analysis, and drug-gene interaction analysis. The study identified 1728 DEGs, including 906 upregulated and 822 downregulated genes. Five hub genes were identified that were: STAT1, GBP5, GBP1, FCGR1A, and BATF2. Gene ontology and pathway enrichment revealed that most of the genes were involved in interferon-gamma signaling. In addition, through drug-gene interactions, known drugs have been identified for STAT1, FCGR1A and GBP1. The findings of this study may contribute to early detection and treatment of active TB. Tuberculosis (TB) is a serious public health issue in India. Numerous molecular mechanisms and immunological responses play significant roles in the pathogenesis of tuberculosis. This study aimed to identify host immune-related biomarkers that are significantly differentially expressed in active TB and that play a vital role in disease progression. The methodology employed in this study included data collection, pre-processing, analysis, and interpretation of the results. Six microarray datasets were used to identify differentially expressed genes (DEGs), and only the common DEGs were used for further downstream analysis, such as hub gene identification, gene ontology, pathway enrichment analysis, and drug-gene interaction analysis. The study identified 1728 DEGs, including 906 upregulated and 822 downregulated genes. Five hub genes were identified that were: STAT1, GBP5, GBP1, FCGR1A, and BATF2. Gene ontology and pathway enrichment revealed that most of the genes were involved in interferon-gamma signaling. In addition, through drug-gene interactions, known drugs have been identified for STAT1, FCGR1A and GBP1. The findings of this study may contribute to early detection and treatment of active TB. |
| ArticleNumber | 102538 |
| Author | Singh, Gajendra Pratap Singh, Mamtesh Ansari, Alisha Singh, Harpreet |
| Author_xml | – sequence: 1 givenname: Alisha surname: Ansari fullname: Ansari, Alisha organization: School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, Delhi, 110067, India – sequence: 2 givenname: Gajendra Pratap surname: Singh fullname: Singh, Gajendra Pratap email: gajendra@jnu.ac.in organization: School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, Delhi, 110067, India – sequence: 3 givenname: Mamtesh surname: Singh fullname: Singh, Mamtesh organization: Department of Zoology, Gargi College, University of Delhi, New Delhi, Delhi, 110049, India – sequence: 4 givenname: Harpreet surname: Singh fullname: Singh, Harpreet organization: Department of Bioinformatics, Division of Biomedical Informatics, Indian Council of Medical Research, Delhi, 110029, India |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/38954895$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.3390/genes13040616 10.1038/s41579-022-00763-4 10.1111/1469-0691.12383 10.1164/rccm.2301005 10.4049/jimmunol.163.7.3898 10.1038/s41598-023-38372-7 10.1186/s12879-018-3127-4 10.1007/s13198-022-01849-1 10.1101/gr.1239303 10.3390/jpm11030197 10.1007/s11274-023-03636-x 10.1111/jcmm.14856 10.1186/gb-2007-8-9-r183 10.3389/fimmu.2019.03139 10.18632/oncotarget.5576 10.1016/S0166-4328(01)00297-2 10.1093/nar/gkv007 10.1038/nmeth.2689 10.1016/j.intimp.2022.109588 10.3390/ijms24043919 10.3389/fgene.2019.00932 10.3390/ijms23084095 10.1186/s12879-022-07214-8 10.1016/j.meegid.2021.105158 |
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| Keywords | GEO Network biology Mtb Tuberculosis Differential gene expression |
| Language | English |
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| Title | Identification of host immune-related biomarkers in active tuberculosis: A comprehensive analysis of differentially expressed genes |
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