Drug repurposing in psoriasis, performed by reversal of disease-associated gene expression profiles
Psoriasis is a skin disease which results in scales on the skin caused by flaky patches. Psoriasis is triggered by various conditions such as drug reactions, trauma, and skin infection etc. Globally, there are 125 million people affected by psoriasis and yet there is no effective treatment available...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-01-01
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| Series: | Computational and Structural Biotechnology Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2001037022004937 |
| _version_ | 1797978153255174144 |
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| author | Faheem Ahmed Son Gi Ho Anupama Samantasinghar Fida Hussain Memon Chethikkattuveli Salih Abdul Rahim Afaque Manzoor Soomro Pratibha Naina Sunildutt Kyung Hwan Kim Kyung Hyun Choi |
| author_facet | Faheem Ahmed Son Gi Ho Anupama Samantasinghar Fida Hussain Memon Chethikkattuveli Salih Abdul Rahim Afaque Manzoor Soomro Pratibha Naina Sunildutt Kyung Hwan Kim Kyung Hyun Choi |
| author_sort | Faheem Ahmed |
| collection | DOAJ |
| description | Psoriasis is a skin disease which results in scales on the skin caused by flaky patches. Psoriasis is triggered by various conditions such as drug reactions, trauma, and skin infection etc. Globally, there are 125 million people affected by psoriasis and yet there is no effective treatment available, and it emphasizes the need for discovery of efficacious treatments. De-novo drug development takes 10–17 years and $2–$3 billion of investment with <10 % success rate to bring drug from concept to a market ready product. A possible alternative is drug repurposing, which aims at finding other indications of already approved drugs. In this study, a computational drug repurposing framework is developed and applied to differential gene expressions of Psoriasis targets obtained from the publicly available database (GEO). This strategy uses the gene expression signatures of the Psoriasis and compares it with perturbagen available in the CMap. Based on the connected signature drugs are ranked which could possibly reverse the signatures to stop the psoriasis. The drugs with most negative connectivity scores are ranked efficient and vice versa. The top hit drugs are verified using the literature survey of the peer reviewed journal, electronic health records, patents, and hospital database. As a result, 50/150 and 37/150 drugs are confirmed to have anti-psoriasis efficacy in two datasets. Top 10 drugs are suggested as potential repurposable drugs for psoriasis. This study offers, a powerful yet simple approach for rapid identification of potential drug repurposing candidates in Psoriasis and any disease of interest. |
| first_indexed | 2024-04-11T05:18:23Z |
| format | Article |
| id | doaj.art-6968c8e567724a63aff257841e988196 |
| institution | Directory Open Access Journal |
| issn | 2001-0370 |
| language | English |
| last_indexed | 2024-04-11T05:18:23Z |
| publishDate | 2022-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Computational and Structural Biotechnology Journal |
| spelling | doaj.art-6968c8e567724a63aff257841e9881962022-12-24T04:55:01ZengElsevierComputational and Structural Biotechnology Journal2001-03702022-01-012060976107Drug repurposing in psoriasis, performed by reversal of disease-associated gene expression profilesFaheem Ahmed0Son Gi Ho1Anupama Samantasinghar2Fida Hussain Memon3Chethikkattuveli Salih Abdul Rahim4Afaque Manzoor Soomro5 Pratibha6Naina Sunildutt7Kyung Hwan Kim8Kyung Hyun Choi9Department of Mechatronics Engineering, Jeju National University, Republic of KoreaBioSpero, Inc., Jeju, Republic of KoreaDepartment of Mechatronics Engineering, Jeju National University, Republic of KoreaDepartment of Mechatronics Engineering, Jeju National University, Republic of Korea; Department of Electrical Engineering, Sukkur IBA University, PakistanDepartment of Mechatronics Engineering, Jeju National University, Republic of KoreaDepartment of Electrical Engineering, Sukkur IBA University, PakistanDepartment of Mechatronics Engineering, Jeju National University, Republic of KoreaDepartment of Mechatronics Engineering, Jeju National University, Republic of KoreaBioSpero, Inc., Jeju, Republic of KoreaDepartment of Mechatronics Engineering, Jeju National University, Republic of Korea; Corresponding author.Psoriasis is a skin disease which results in scales on the skin caused by flaky patches. Psoriasis is triggered by various conditions such as drug reactions, trauma, and skin infection etc. Globally, there are 125 million people affected by psoriasis and yet there is no effective treatment available, and it emphasizes the need for discovery of efficacious treatments. De-novo drug development takes 10–17 years and $2–$3 billion of investment with <10 % success rate to bring drug from concept to a market ready product. A possible alternative is drug repurposing, which aims at finding other indications of already approved drugs. In this study, a computational drug repurposing framework is developed and applied to differential gene expressions of Psoriasis targets obtained from the publicly available database (GEO). This strategy uses the gene expression signatures of the Psoriasis and compares it with perturbagen available in the CMap. Based on the connected signature drugs are ranked which could possibly reverse the signatures to stop the psoriasis. The drugs with most negative connectivity scores are ranked efficient and vice versa. The top hit drugs are verified using the literature survey of the peer reviewed journal, electronic health records, patents, and hospital database. As a result, 50/150 and 37/150 drugs are confirmed to have anti-psoriasis efficacy in two datasets. Top 10 drugs are suggested as potential repurposable drugs for psoriasis. This study offers, a powerful yet simple approach for rapid identification of potential drug repurposing candidates in Psoriasis and any disease of interest.http://www.sciencedirect.com/science/article/pii/S2001037022004937PsoriasisDrug repurposingGene expression and reversalCMapDrug perturbagen |
| spellingShingle | Faheem Ahmed Son Gi Ho Anupama Samantasinghar Fida Hussain Memon Chethikkattuveli Salih Abdul Rahim Afaque Manzoor Soomro Pratibha Naina Sunildutt Kyung Hwan Kim Kyung Hyun Choi Drug repurposing in psoriasis, performed by reversal of disease-associated gene expression profiles Computational and Structural Biotechnology Journal Psoriasis Drug repurposing Gene expression and reversal CMap Drug perturbagen |
| title | Drug repurposing in psoriasis, performed by reversal of disease-associated gene expression profiles |
| title_full | Drug repurposing in psoriasis, performed by reversal of disease-associated gene expression profiles |
| title_fullStr | Drug repurposing in psoriasis, performed by reversal of disease-associated gene expression profiles |
| title_full_unstemmed | Drug repurposing in psoriasis, performed by reversal of disease-associated gene expression profiles |
| title_short | Drug repurposing in psoriasis, performed by reversal of disease-associated gene expression profiles |
| title_sort | drug repurposing in psoriasis performed by reversal of disease associated gene expression profiles |
| topic | Psoriasis Drug repurposing Gene expression and reversal CMap Drug perturbagen |
| url | http://www.sciencedirect.com/science/article/pii/S2001037022004937 |
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