Analysis of Potential Biomarkers in Frontal Temporal Dementia: A Bioinformatics Approach
Frontal temporal dementia (FTD) is a neurological disorder known to have fewer therapeutic options. So far, only a few biomarkers are available for FTD that can be used as potential comorbidity targets. For example, genes such as <i>VCP</i>, which has a role in breast cancer, and <i&g...
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MDPI AG
2023-10-01
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| Series: | International Journal of Molecular Sciences |
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| Online Access: | https://www.mdpi.com/1422-0067/24/19/14910 |
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| author | Inara Deedar Momin Jessica Rigler Kumaraswamy Naidu Chitrala |
| author_facet | Inara Deedar Momin Jessica Rigler Kumaraswamy Naidu Chitrala |
| author_sort | Inara Deedar Momin |
| collection | DOAJ |
| description | Frontal temporal dementia (FTD) is a neurological disorder known to have fewer therapeutic options. So far, only a few biomarkers are available for FTD that can be used as potential comorbidity targets. For example, genes such as <i>VCP</i>, which has a role in breast cancer, and <i>WFS1</i>, which has a role in COVID-19, are known to show a role in FTD as well. To this end, in the present study, we aim to identify potential biomarkers or susceptible genes for FTD that show comorbidities with diseases such as COVID-19 and breast cancer. A dataset from Gene Expression Omnibus containing FTD expression profiles from African American and white ethnicity backgrounds was included in our study. In FTD samples of the GSE193391 dataset, we identified 305 DEGs, with 168 genes being up-regulated and 137 genes being down-regulated. We conducted a comorbidity analysis for COVID-19 and breast cancer, followed by an analysis of potential drug interactions, pathogenicity, analysis of genetic variants, and functional enrichment analysis. Our results showed that the genes <i>AKT3</i>, <i>GFAP</i>, <i>ADCYAP1R1</i>, <i>VDAC1</i>, and <i>C4A</i> have significant transcriptomic alterations in FTD along with the comorbidity status with COVID-19 and breast cancer. Functional pathway analysis revealed that these comorbid genes were significantly enriched in the pathways such as glioma, JAK/STAT signaling, systematic lupus erythematosus, neurodegeneration-multiple diseases, and neuroactive ligand–receptor interaction. Overall, from these results, we concluded that these genes could be recommended as potential therapeutic targets for the treatment of comorbidities (breast cancer and COVID-19) in patients with FTD. |
| first_indexed | 2024-03-10T21:43:04Z |
| format | Article |
| id | doaj.art-c08c99a0e04a42d1b3a0c71f6e664fdf |
| institution | Directory Open Access Journal |
| issn | 1661-6596 1422-0067 |
| language | English |
| last_indexed | 2024-03-10T21:43:04Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | International Journal of Molecular Sciences |
| spelling | doaj.art-c08c99a0e04a42d1b3a0c71f6e664fdf2023-11-19T14:32:26ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672023-10-0124191491010.3390/ijms241914910Analysis of Potential Biomarkers in Frontal Temporal Dementia: A Bioinformatics ApproachInara Deedar Momin0Jessica Rigler1Kumaraswamy Naidu Chitrala2Department of Engineering Technology, University of Houston, Sugar Land, TX 77479, USADepartment of Engineering Technology, University of Houston, Sugar Land, TX 77479, USADepartment of Engineering Technology, University of Houston, Sugar Land, TX 77479, USAFrontal temporal dementia (FTD) is a neurological disorder known to have fewer therapeutic options. So far, only a few biomarkers are available for FTD that can be used as potential comorbidity targets. For example, genes such as <i>VCP</i>, which has a role in breast cancer, and <i>WFS1</i>, which has a role in COVID-19, are known to show a role in FTD as well. To this end, in the present study, we aim to identify potential biomarkers or susceptible genes for FTD that show comorbidities with diseases such as COVID-19 and breast cancer. A dataset from Gene Expression Omnibus containing FTD expression profiles from African American and white ethnicity backgrounds was included in our study. In FTD samples of the GSE193391 dataset, we identified 305 DEGs, with 168 genes being up-regulated and 137 genes being down-regulated. We conducted a comorbidity analysis for COVID-19 and breast cancer, followed by an analysis of potential drug interactions, pathogenicity, analysis of genetic variants, and functional enrichment analysis. Our results showed that the genes <i>AKT3</i>, <i>GFAP</i>, <i>ADCYAP1R1</i>, <i>VDAC1</i>, and <i>C4A</i> have significant transcriptomic alterations in FTD along with the comorbidity status with COVID-19 and breast cancer. Functional pathway analysis revealed that these comorbid genes were significantly enriched in the pathways such as glioma, JAK/STAT signaling, systematic lupus erythematosus, neurodegeneration-multiple diseases, and neuroactive ligand–receptor interaction. Overall, from these results, we concluded that these genes could be recommended as potential therapeutic targets for the treatment of comorbidities (breast cancer and COVID-19) in patients with FTD.https://www.mdpi.com/1422-0067/24/19/14910frontal temporal dementiacomorbiditybreast cancerCOVID-19differential gene expression analysis |
| spellingShingle | Inara Deedar Momin Jessica Rigler Kumaraswamy Naidu Chitrala Analysis of Potential Biomarkers in Frontal Temporal Dementia: A Bioinformatics Approach International Journal of Molecular Sciences frontal temporal dementia comorbidity breast cancer COVID-19 differential gene expression analysis |
| title | Analysis of Potential Biomarkers in Frontal Temporal Dementia: A Bioinformatics Approach |
| title_full | Analysis of Potential Biomarkers in Frontal Temporal Dementia: A Bioinformatics Approach |
| title_fullStr | Analysis of Potential Biomarkers in Frontal Temporal Dementia: A Bioinformatics Approach |
| title_full_unstemmed | Analysis of Potential Biomarkers in Frontal Temporal Dementia: A Bioinformatics Approach |
| title_short | Analysis of Potential Biomarkers in Frontal Temporal Dementia: A Bioinformatics Approach |
| title_sort | analysis of potential biomarkers in frontal temporal dementia a bioinformatics approach |
| topic | frontal temporal dementia comorbidity breast cancer COVID-19 differential gene expression analysis |
| url | https://www.mdpi.com/1422-0067/24/19/14910 |
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