Potential Therapeutic Drugs for Parkinson's Disease Based on Data Mining and Bioinformatics Analysis

The objective is to search potential therapeutic drugs for Parkinson's disease based on data mining and bioinformatics analysis and providing new ideas for research studies on “new application of conventional drugs.” Method differential gene candidates were obtained based on data mining of gene...

Descripción completa

Detalles Bibliográficos
Autores principales: Xu, Chuan, Chen, Jiajun, Xu, Xia, Zhang, Yingyu, Li, Jia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6189653/
https://www.ncbi.nlm.nih.gov/pubmed/30370044
http://dx.doi.org/10.1155/2018/3464578
_version_ 1783363401847668736
author Xu, Chuan
Chen, Jiajun
Xu, Xia
Zhang, Yingyu
Li, Jia
author_facet Xu, Chuan
Chen, Jiajun
Xu, Xia
Zhang, Yingyu
Li, Jia
author_sort Xu, Chuan
collection PubMed
description The objective is to search potential therapeutic drugs for Parkinson's disease based on data mining and bioinformatics analysis and providing new ideas for research studies on “new application of conventional drugs.” Method differential gene candidates were obtained based on data mining of genes of PD brain tissue, original gene data analysis, differential gene crossover, pathway enrichment analysis, and protein interaction, and potential therapeutic drugs for Parkinson's disease were obtained through drug-gene relationship. Result. 250 common differential genes were obtained from 3 research studies, and 31 differential gene candidates were obtained through gene enrichment analysis and protein interaction. 10 drugs such as metformin hydrochloride were directly or indirectly correlated to differential gene candidates. Conclusion. Potential therapeutic drugs that may be used for prevention and treatment of Parkinson's disease were discovered through data mining and bioinformatics analysis, which provided new ideas for research and development of drugs. Results showed that metformin hydrochloride and other drugs had certain therapeutical effect on Parkinson's disease, and melbine (DMBG) can be used for treatment of Parkinson's disease and type 2 diabetes patients.
format Online
Article
Text
id pubmed-6189653
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-61896532018-10-28 Potential Therapeutic Drugs for Parkinson's Disease Based on Data Mining and Bioinformatics Analysis Xu, Chuan Chen, Jiajun Xu, Xia Zhang, Yingyu Li, Jia Parkinsons Dis Research Article The objective is to search potential therapeutic drugs for Parkinson's disease based on data mining and bioinformatics analysis and providing new ideas for research studies on “new application of conventional drugs.” Method differential gene candidates were obtained based on data mining of genes of PD brain tissue, original gene data analysis, differential gene crossover, pathway enrichment analysis, and protein interaction, and potential therapeutic drugs for Parkinson's disease were obtained through drug-gene relationship. Result. 250 common differential genes were obtained from 3 research studies, and 31 differential gene candidates were obtained through gene enrichment analysis and protein interaction. 10 drugs such as metformin hydrochloride were directly or indirectly correlated to differential gene candidates. Conclusion. Potential therapeutic drugs that may be used for prevention and treatment of Parkinson's disease were discovered through data mining and bioinformatics analysis, which provided new ideas for research and development of drugs. Results showed that metformin hydrochloride and other drugs had certain therapeutical effect on Parkinson's disease, and melbine (DMBG) can be used for treatment of Parkinson's disease and type 2 diabetes patients. Hindawi 2018-10-02 /pmc/articles/PMC6189653/ /pubmed/30370044 http://dx.doi.org/10.1155/2018/3464578 Text en Copyright © 2018 Chuan Xu et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Xu, Chuan
Chen, Jiajun
Xu, Xia
Zhang, Yingyu
Li, Jia
Potential Therapeutic Drugs for Parkinson's Disease Based on Data Mining and Bioinformatics Analysis
title Potential Therapeutic Drugs for Parkinson's Disease Based on Data Mining and Bioinformatics Analysis
title_full Potential Therapeutic Drugs for Parkinson's Disease Based on Data Mining and Bioinformatics Analysis
title_fullStr Potential Therapeutic Drugs for Parkinson's Disease Based on Data Mining and Bioinformatics Analysis
title_full_unstemmed Potential Therapeutic Drugs for Parkinson's Disease Based on Data Mining and Bioinformatics Analysis
title_short Potential Therapeutic Drugs for Parkinson's Disease Based on Data Mining and Bioinformatics Analysis
title_sort potential therapeutic drugs for parkinson's disease based on data mining and bioinformatics analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6189653/
https://www.ncbi.nlm.nih.gov/pubmed/30370044
http://dx.doi.org/10.1155/2018/3464578
work_keys_str_mv AT xuchuan potentialtherapeuticdrugsforparkinsonsdiseasebasedondataminingandbioinformaticsanalysis
AT chenjiajun potentialtherapeuticdrugsforparkinsonsdiseasebasedondataminingandbioinformaticsanalysis
AT xuxia potentialtherapeuticdrugsforparkinsonsdiseasebasedondataminingandbioinformaticsanalysis
AT zhangyingyu potentialtherapeuticdrugsforparkinsonsdiseasebasedondataminingandbioinformaticsanalysis
AT lijia potentialtherapeuticdrugsforparkinsonsdiseasebasedondataminingandbioinformaticsanalysis

Ejemplares similares