Identification and validation of hub m7G-related genes and infiltrating immune cells in osteoarthritis based on integrated computational and bioinformatics analysis.
| Title: | Identification and validation of hub m7G-related genes and infiltrating immune cells in osteoarthritis based on integrated computational and bioinformatics analysis. |
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| Authors: | Huo, Zhenhui1 (AUTHOR) drzhhuo@163.com, Fan, Chongyi2 (AUTHOR) fanchongyi123@yeah.net, Li, Kehan1 (AUTHOR) khan@aliyun.com, Xu, Chenyue1 (AUTHOR) doctorxcy@163.com, Niu, Yingzhen1 (AUTHOR) niuyingzhen@yeah.net, Wang, Fei1 (AUTHOR) wangfei@hebmu.edu.cn |
| Source: | BMC Musculoskeletal Disorders. 4/4/2025, Vol. 26 Issue 1, p1-18. 18p. |
| Subject Terms: | *GENE expression, *BIOINFORMATICS, *LIFE sciences, *RNA metabolism, *RNA methylation |
| Abstract: | Background: Osteoarthritis (OA) is a joint disease closely associated with synovial tissue inflammation, with the severity of synovitis impacting disease progression. m7G RNA methylation is critical in RNA processing, metabolism, and function, but its role in OA synovial tissue is not well understood. This study explores the relationship between m7G methylation and immune infiltration in OA. Methods: Data were obtained from the GEO database. Hub genes related to m7G were identified using differential expression and LASSO-Cox regression analysis, and a diagnostic model was developed. Functional enrichment, drug target prediction, and target gene-related miRNA prediction were performed for these genes. Immune cell infiltration was analyzed using the CIBERSORT algorithm, and unsupervised clustering analysis was conducted to examine immune infiltration patterns. RT-qPCR was used to validate hub gene expression. Results: Seven m7G hub genes (SNUPN, RNMT, NUDT1, LSM1, LARP1, CYFIP2, and CYFIP1) were identified and used to develop a nomogram for OA risk prediction. Functional enrichment indicated involvement in mRNA metabolism and RNA transport. Differences in macrophage and T-cell infiltration were observed between OA and normal groups. Two distinct m7G immune infiltration patterns were identified, with significant microenvironment differences between clusters. RT-qPCR confirmed differential hub gene expression. Conclusion: A diagnostic model based on seven m7G hub genes was developed, highlighting these genes as potential biomarkers and significant players in OA pathogenesis. [ABSTRACT FROM AUTHOR] |
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| Items | – Name: Title Label: Title Group: Ti Data: Identification and validation of hub m7G-related genes and infiltrating immune cells in osteoarthritis based on integrated computational and bioinformatics analysis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Huo%2C+Zhenhui%22">Huo, Zhenhui</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> drzhhuo@163.com</i><br /><searchLink fieldCode="AR" term="%22Fan%2C+Chongyi%22">Fan, Chongyi</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> fanchongyi123@yeah.net</i><br /><searchLink fieldCode="AR" term="%22Li%2C+Kehan%22">Li, Kehan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> khan@aliyun.com</i><br /><searchLink fieldCode="AR" term="%22Xu%2C+Chenyue%22">Xu, Chenyue</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> doctorxcy@163.com</i><br /><searchLink fieldCode="AR" term="%22Niu%2C+Yingzhen%22">Niu, Yingzhen</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> niuyingzhen@yeah.net</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Fei%22">Wang, Fei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> wangfei@hebmu.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22BMC+Musculoskeletal+Disorders%22">BMC Musculoskeletal Disorders</searchLink>. 4/4/2025, Vol. 26 Issue 1, p1-18. 18p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22GENE+expression%22">GENE expression</searchLink><br />*<searchLink fieldCode="DE" term="%22BIOINFORMATICS%22">BIOINFORMATICS</searchLink><br />*<searchLink fieldCode="DE" term="%22LIFE+sciences%22">LIFE sciences</searchLink><br />*<searchLink fieldCode="DE" term="%22RNA+metabolism%22">RNA metabolism</searchLink><br />*<searchLink fieldCode="DE" term="%22RNA+methylation%22">RNA methylation</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Background: Osteoarthritis (OA) is a joint disease closely associated with synovial tissue inflammation, with the severity of synovitis impacting disease progression. m7G RNA methylation is critical in RNA processing, metabolism, and function, but its role in OA synovial tissue is not well understood. This study explores the relationship between m7G methylation and immune infiltration in OA. Methods: Data were obtained from the GEO database. Hub genes related to m7G were identified using differential expression and LASSO-Cox regression analysis, and a diagnostic model was developed. Functional enrichment, drug target prediction, and target gene-related miRNA prediction were performed for these genes. Immune cell infiltration was analyzed using the CIBERSORT algorithm, and unsupervised clustering analysis was conducted to examine immune infiltration patterns. RT-qPCR was used to validate hub gene expression. Results: Seven m7G hub genes (SNUPN, RNMT, NUDT1, LSM1, LARP1, CYFIP2, and CYFIP1) were identified and used to develop a nomogram for OA risk prediction. Functional enrichment indicated involvement in mRNA metabolism and RNA transport. Differences in macrophage and T-cell infiltration were observed between OA and normal groups. Two distinct m7G immune infiltration patterns were identified, with significant microenvironment differences between clusters. RT-qPCR confirmed differential hub gene expression. Conclusion: A diagnostic model based on seven m7G hub genes was developed, highlighting these genes as potential biomarkers and significant players in OA pathogenesis. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of BMC Musculoskeletal Disorders is the property of BioMed Central and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s12891-025-08539-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 1 Subjects: – SubjectFull: GENE expression Type: general – SubjectFull: BIOINFORMATICS Type: general – SubjectFull: LIFE sciences Type: general – SubjectFull: RNA metabolism Type: general – SubjectFull: RNA methylation Type: general Titles: – TitleFull: Identification and validation of hub m7G-related genes and infiltrating immune cells in osteoarthritis based on integrated computational and bioinformatics analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Huo, Zhenhui – PersonEntity: Name: NameFull: Fan, Chongyi – PersonEntity: Name: NameFull: Li, Kehan – PersonEntity: Name: NameFull: Xu, Chenyue – PersonEntity: Name: NameFull: Niu, Yingzhen – PersonEntity: Name: NameFull: Wang, Fei IsPartOfRelationships: – BibEntity: Dates: – D: 04 M: 04 Text: 4/4/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 14712474 Numbering: – Type: volume Value: 26 – Type: issue Value: 1 Titles: – TitleFull: BMC Musculoskeletal Disorders Type: main |
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