Integrated network analysis identifying potential novel drug candidates and targets for Parkinson's disease
Abstract This study aimed to identify potential novel drug candidates and targets for Parkinson’s disease. First, 970 genes that have been reported to be related to PD were collected from five databases, and functional enrichment analysis of these genes was conducted to investigate their potential m...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2021-06-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-021-92701-2 |
| _version_ | 1818401765775638528 |
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| author | Pusheng Quan Kai Wang Shi Yan Shirong Wen Chengqun Wei Xinyu Zhang Jingwei Cao Lifen Yao |
| author_facet | Pusheng Quan Kai Wang Shi Yan Shirong Wen Chengqun Wei Xinyu Zhang Jingwei Cao Lifen Yao |
| author_sort | Pusheng Quan |
| collection | DOAJ |
| description | Abstract This study aimed to identify potential novel drug candidates and targets for Parkinson’s disease. First, 970 genes that have been reported to be related to PD were collected from five databases, and functional enrichment analysis of these genes was conducted to investigate their potential mechanisms. Then, we collected drugs and related targets from DrugBank, narrowed the list by proximity scores and Inverted Gene Set Enrichment analysis of drug targets, and identified potential drug candidates for PD treatment. Finally, we compared the expression distribution of the candidate drug-target genes between the PD group and the control group in the public dataset with the largest sample size (GSE99039) in Gene Expression Omnibus. Ten drugs with an FDR < 0.1 and their corresponding targets were identified. Some target genes of the ten drugs significantly overlapped with PD-related genes or already known therapeutic targets for PD. Nine differentially expressed drug-target genes with p < 0.05 were screened. This work will facilitate further research into the possible efficacy of new drugs for PD and will provide valuable clues for drug design. |
| first_indexed | 2024-12-14T07:57:40Z |
| format | Article |
| id | doaj.art-9a7a307920eb490dbf63a8b3f95f2b6e |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-12-14T07:57:40Z |
| publishDate | 2021-06-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-9a7a307920eb490dbf63a8b3f95f2b6e2022-12-21T23:10:31ZengNature PortfolioScientific Reports2045-23222021-06-011111910.1038/s41598-021-92701-2Integrated network analysis identifying potential novel drug candidates and targets for Parkinson's diseasePusheng Quan0Kai Wang1Shi Yan2Shirong Wen3Chengqun Wei4Xinyu Zhang5Jingwei Cao6Lifen Yao7Department of Neurology, The First Affiliated Hospital, Harbin Medical UniversityCenter of TOF-PET/CT/MR, The Fourth Affiliated Hospital, Harbin Medical UniversityDepartment of Neurology, The First Affiliated Hospital, Harbin Medical UniversityDepartment of Neurology, The First Affiliated Hospital, Harbin Medical UniversityDepartment of General Practice, Heilongjiang Provincial HospitalDepartment of Neurology, The First Affiliated Hospital, Harbin Medical UniversityDepartment of Neurology, The First Affiliated Hospital, Harbin Medical UniversityDepartment of Neurology, The First Affiliated Hospital, Harbin Medical UniversityAbstract This study aimed to identify potential novel drug candidates and targets for Parkinson’s disease. First, 970 genes that have been reported to be related to PD were collected from five databases, and functional enrichment analysis of these genes was conducted to investigate their potential mechanisms. Then, we collected drugs and related targets from DrugBank, narrowed the list by proximity scores and Inverted Gene Set Enrichment analysis of drug targets, and identified potential drug candidates for PD treatment. Finally, we compared the expression distribution of the candidate drug-target genes between the PD group and the control group in the public dataset with the largest sample size (GSE99039) in Gene Expression Omnibus. Ten drugs with an FDR < 0.1 and their corresponding targets were identified. Some target genes of the ten drugs significantly overlapped with PD-related genes or already known therapeutic targets for PD. Nine differentially expressed drug-target genes with p < 0.05 were screened. This work will facilitate further research into the possible efficacy of new drugs for PD and will provide valuable clues for drug design.https://doi.org/10.1038/s41598-021-92701-2 |
| spellingShingle | Pusheng Quan Kai Wang Shi Yan Shirong Wen Chengqun Wei Xinyu Zhang Jingwei Cao Lifen Yao Integrated network analysis identifying potential novel drug candidates and targets for Parkinson's disease Scientific Reports |
| title | Integrated network analysis identifying potential novel drug candidates and targets for Parkinson's disease |
| title_full | Integrated network analysis identifying potential novel drug candidates and targets for Parkinson's disease |
| title_fullStr | Integrated network analysis identifying potential novel drug candidates and targets for Parkinson's disease |
| title_full_unstemmed | Integrated network analysis identifying potential novel drug candidates and targets for Parkinson's disease |
| title_short | Integrated network analysis identifying potential novel drug candidates and targets for Parkinson's disease |
| title_sort | integrated network analysis identifying potential novel drug candidates and targets for parkinson s disease |
| url | https://doi.org/10.1038/s41598-021-92701-2 |
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