Comprehensive bioinformatics analysis reveals novel potential biomarkers associated with aging and mitochondria in osteoporosis
Abstract Osteoporosis (OP) is a prevalent age-related bone metabolic disease. Aging and mitochondrial dysfunction are involved in the onset and progression of OP, but the specific mechanisms have not been elucidated. The aim of this study was to identify novel potential biomarkers associated with ag...
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Nature Portfolio
2025-01-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-84926-8 |
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| author | Ke Bi Yuxi Chen Yuhang Hu Song Li Weiming Li Zhange Yu Lei Yu |
| author_facet | Ke Bi Yuxi Chen Yuhang Hu Song Li Weiming Li Zhange Yu Lei Yu |
| author_sort | Ke Bi |
| collection | DOAJ |
| description | Abstract Osteoporosis (OP) is a prevalent age-related bone metabolic disease. Aging and mitochondrial dysfunction are involved in the onset and progression of OP, but the specific mechanisms have not been elucidated. The aim of this study was to identify novel potential biomarkers associated with aging and mitochondria in OP. In this study, based on GEO database, aging-related and mitochondria-related differentially expressed genes (AR&MRDEGs) were screened. The AR&MRDEGs were enriched in mitochondrial structure and function. Then, 6 key genes were identified by WGCNA and multiple machine learning, and a novel diagnostic model was constructed. The efficacy of diagnostic model was validated using external datasets. The results showed that diagnostic model had favorable diagnostic prediction ability. Next, key gene regulatory networks were constructed and single-gene GSEA analysis was performed. In addition, based on a single-cell dataset from OP, single-cell differentially expressed genes (scDEGs) were identified. The results revealed that aging-related and mitochondria-related genes (AR&MRGs) were enriched in the ERK pathway in tissue stem cells (TSCs), and in mitochondrial membrane potential depolarization in monocytes. Cellular communication analysis showed that TSCs were active, with numerous signaling interactions with monocytes, macrophages and immune cells. Finally, the expression of key gene was verified by quantitative real-time PCR (qRT-PCR). This study is expected to provide strategies for the diagnosis and treatment of OP targeting aging and mitochondria. |
| format | Article |
| id | doaj-art-7c6da66805bc447b9ccd7c4e5a099a73 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-7c6da66805bc447b9ccd7c4e5a099a732025-01-12T12:23:26ZengNature PortfolioScientific Reports2045-23222025-01-0115111610.1038/s41598-024-84926-8Comprehensive bioinformatics analysis reveals novel potential biomarkers associated with aging and mitochondria in osteoporosisKe Bi0Yuxi Chen1Yuhang Hu2Song Li3Weiming Li4Zhange Yu5Lei Yu6Department of Orthopedic Surgery at the First Affiliated Hospital, Harbin Medical UniversityDepartment of Orthopedic Surgery at the First Affiliated Hospital, Harbin Medical UniversityDepartment of Orthopedic Surgery at the First Affiliated Hospital, Harbin Medical UniversityDepartment of Orthopedic Surgery at the First Affiliated Hospital, Harbin Medical UniversityDepartment of Orthopedic Surgery at the First Affiliated Hospital, Harbin Medical UniversityDepartment of Orthopedic Surgery at the First Affiliated Hospital, Harbin Medical UniversityDepartment of Orthopedic Surgery at the First Affiliated Hospital, Harbin Medical UniversityAbstract Osteoporosis (OP) is a prevalent age-related bone metabolic disease. Aging and mitochondrial dysfunction are involved in the onset and progression of OP, but the specific mechanisms have not been elucidated. The aim of this study was to identify novel potential biomarkers associated with aging and mitochondria in OP. In this study, based on GEO database, aging-related and mitochondria-related differentially expressed genes (AR&MRDEGs) were screened. The AR&MRDEGs were enriched in mitochondrial structure and function. Then, 6 key genes were identified by WGCNA and multiple machine learning, and a novel diagnostic model was constructed. The efficacy of diagnostic model was validated using external datasets. The results showed that diagnostic model had favorable diagnostic prediction ability. Next, key gene regulatory networks were constructed and single-gene GSEA analysis was performed. In addition, based on a single-cell dataset from OP, single-cell differentially expressed genes (scDEGs) were identified. The results revealed that aging-related and mitochondria-related genes (AR&MRGs) were enriched in the ERK pathway in tissue stem cells (TSCs), and in mitochondrial membrane potential depolarization in monocytes. Cellular communication analysis showed that TSCs were active, with numerous signaling interactions with monocytes, macrophages and immune cells. Finally, the expression of key gene was verified by quantitative real-time PCR (qRT-PCR). This study is expected to provide strategies for the diagnosis and treatment of OP targeting aging and mitochondria.https://doi.org/10.1038/s41598-024-84926-8OsteoporosisAgingMitochondriaWGCNADiagnostic modelSingle-cell bioinformatics analysis |
| spellingShingle | Ke Bi Yuxi Chen Yuhang Hu Song Li Weiming Li Zhange Yu Lei Yu Comprehensive bioinformatics analysis reveals novel potential biomarkers associated with aging and mitochondria in osteoporosis Scientific Reports Osteoporosis Aging Mitochondria WGCNA Diagnostic model Single-cell bioinformatics analysis |
| title | Comprehensive bioinformatics analysis reveals novel potential biomarkers associated with aging and mitochondria in osteoporosis |
| title_full | Comprehensive bioinformatics analysis reveals novel potential biomarkers associated with aging and mitochondria in osteoporosis |
| title_fullStr | Comprehensive bioinformatics analysis reveals novel potential biomarkers associated with aging and mitochondria in osteoporosis |
| title_full_unstemmed | Comprehensive bioinformatics analysis reveals novel potential biomarkers associated with aging and mitochondria in osteoporosis |
| title_short | Comprehensive bioinformatics analysis reveals novel potential biomarkers associated with aging and mitochondria in osteoporosis |
| title_sort | comprehensive bioinformatics analysis reveals novel potential biomarkers associated with aging and mitochondria in osteoporosis |
| topic | Osteoporosis Aging Mitochondria WGCNA Diagnostic model Single-cell bioinformatics analysis |
| url | https://doi.org/10.1038/s41598-024-84926-8 |
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