Integrating bioinformatics and machine learning to uncover lncRNA LINC00269 as a key regulator in Parkinson's disease via pyroptosis pathways
Abstract Background Pyroptosis, a specific type of programmed cell death, which has become a significant factor to Parkinson's disease (PD). Concurrently, long non-coding RNAs (lncRNAs) have garnered attention for their regulatory roles in neurodegenerative disorders. This study was designed to...
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BMC
2024-12-01
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| Series: | European Journal of Medical Research |
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| Online Access: | https://doi.org/10.1186/s40001-024-02201-y |
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| author | LiLi Ma Yue Liu Yajing Ren Na Mi Jing Fang Rui Bao Xiuzhi Xu Hongjia Zhang Ying Tang |
| author_facet | LiLi Ma Yue Liu Yajing Ren Na Mi Jing Fang Rui Bao Xiuzhi Xu Hongjia Zhang Ying Tang |
| author_sort | LiLi Ma |
| collection | DOAJ |
| description | Abstract Background Pyroptosis, a specific type of programmed cell death, which has become a significant factor to Parkinson's disease (PD). Concurrently, long non-coding RNAs (lncRNAs) have garnered attention for their regulatory roles in neurodegenerative disorders. This study was designed to ascertain the key lncRNAs in pyroptosis pathways of PD and elucidate their regulatory mechanisms. Methods Employing a combination of bioinformatics and machine learning, we analyzed PD data sets GSE133347 and GSE110716. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) recognized different lncRNAs. Through various algorithms such as Least Absolute Shrinkage and Selection Operator (LASSO), Random Forest (RF), and Weighted Gene Co-expression Network Analysis (WGCNA), we recognized LINC01606 and LINC00269, which are key factors during the emergence and development of PD. Furthermore, experimental validation was conducted in PD mouse models to confirm these bioinformatics findings. Results The analysis showed that there were a large number of apoptosis-related gene expression changes in Parkinson's syndrome, for example, CASP1 and GSDME were up-regulated, and CASP9 and AIM2 were down-regulated. Among the lncRNAs, LINC01606 and LINC00269 were identified as potential modulators of pyroptosis. Notably, LINC00269 was observed to be significantly downregulated in the brain tissues of a PD mouse model, supporting its involvement in PD. The study also highlighted potential interactions of these lncRNAs with genes like ONECUT2, PRLR, CTNNA3, and LRP2. Conclusions This study identifies LINC00269 as a potential contributor to pyroptosis pathways in PD. While further investigation is required to fully elucidate its role, these findings provide new insights into PD pathogenesis and suggest potential avenues for future research on diagnostic and therapeutic targets. The study underscores the importance of integrating bioinformatics with experimental validation in neurodegenerative disease research. |
| format | Article |
| id | doaj-art-0bf37666adff4fc69755f37bf2eb3b21 |
| institution | OA Journals |
| issn | 2047-783X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | BMC |
| record_format | Article |
| series | European Journal of Medical Research |
| spelling | doaj-art-0bf37666adff4fc69755f37bf2eb3b212025-08-20T01:59:43ZengBMCEuropean Journal of Medical Research2047-783X2024-12-0129111710.1186/s40001-024-02201-yIntegrating bioinformatics and machine learning to uncover lncRNA LINC00269 as a key regulator in Parkinson's disease via pyroptosis pathwaysLiLi Ma0Yue Liu1Yajing Ren2Na Mi3Jing Fang4Rui Bao5Xiuzhi Xu6Hongjia Zhang7Ying Tang8Department of Neurology, The First Affiliated Hospital of Harbin Medical UniversityDepartment of Neurology, The First Affiliated Hospital of Harbin Medical UniversitySchool of Medical and Life Sciences, Chengdu University of TCMDepartment of Neurology, Chi Feng Municipal HospitalDepartment of Neurology, The Fourth Affiliated Hospital of Harbin Medical UniversityDepartment of Rehabilitation, The Third Affiliated Hospital of Heilongjiang University of Chinese MedicineGeneral Medical Department, Heilongjiang Provincial HospitalDepartment of Neurology, Jilin City Hospital of Chemical IndustryDepartment of Neurology, The First Affiliated Hospital of Harbin Medical UniversityAbstract Background Pyroptosis, a specific type of programmed cell death, which has become a significant factor to Parkinson's disease (PD). Concurrently, long non-coding RNAs (lncRNAs) have garnered attention for their regulatory roles in neurodegenerative disorders. This study was designed to ascertain the key lncRNAs in pyroptosis pathways of PD and elucidate their regulatory mechanisms. Methods Employing a combination of bioinformatics and machine learning, we analyzed PD data sets GSE133347 and GSE110716. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) recognized different lncRNAs. Through various algorithms such as Least Absolute Shrinkage and Selection Operator (LASSO), Random Forest (RF), and Weighted Gene Co-expression Network Analysis (WGCNA), we recognized LINC01606 and LINC00269, which are key factors during the emergence and development of PD. Furthermore, experimental validation was conducted in PD mouse models to confirm these bioinformatics findings. Results The analysis showed that there were a large number of apoptosis-related gene expression changes in Parkinson's syndrome, for example, CASP1 and GSDME were up-regulated, and CASP9 and AIM2 were down-regulated. Among the lncRNAs, LINC01606 and LINC00269 were identified as potential modulators of pyroptosis. Notably, LINC00269 was observed to be significantly downregulated in the brain tissues of a PD mouse model, supporting its involvement in PD. The study also highlighted potential interactions of these lncRNAs with genes like ONECUT2, PRLR, CTNNA3, and LRP2. Conclusions This study identifies LINC00269 as a potential contributor to pyroptosis pathways in PD. While further investigation is required to fully elucidate its role, these findings provide new insights into PD pathogenesis and suggest potential avenues for future research on diagnostic and therapeutic targets. The study underscores the importance of integrating bioinformatics with experimental validation in neurodegenerative disease research.https://doi.org/10.1186/s40001-024-02201-yPyroptosisParkinson's diseaselncRNAsLINC00269Immune infiltration |
| spellingShingle | LiLi Ma Yue Liu Yajing Ren Na Mi Jing Fang Rui Bao Xiuzhi Xu Hongjia Zhang Ying Tang Integrating bioinformatics and machine learning to uncover lncRNA LINC00269 as a key regulator in Parkinson's disease via pyroptosis pathways European Journal of Medical Research Pyroptosis Parkinson's disease lncRNAs LINC00269 Immune infiltration |
| title | Integrating bioinformatics and machine learning to uncover lncRNA LINC00269 as a key regulator in Parkinson's disease via pyroptosis pathways |
| title_full | Integrating bioinformatics and machine learning to uncover lncRNA LINC00269 as a key regulator in Parkinson's disease via pyroptosis pathways |
| title_fullStr | Integrating bioinformatics and machine learning to uncover lncRNA LINC00269 as a key regulator in Parkinson's disease via pyroptosis pathways |
| title_full_unstemmed | Integrating bioinformatics and machine learning to uncover lncRNA LINC00269 as a key regulator in Parkinson's disease via pyroptosis pathways |
| title_short | Integrating bioinformatics and machine learning to uncover lncRNA LINC00269 as a key regulator in Parkinson's disease via pyroptosis pathways |
| title_sort | integrating bioinformatics and machine learning to uncover lncrna linc00269 as a key regulator in parkinson s disease via pyroptosis pathways |
| topic | Pyroptosis Parkinson's disease lncRNAs LINC00269 Immune infiltration |
| url | https://doi.org/10.1186/s40001-024-02201-y |
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