Identification of core pathogenic genes and pathways in elderly osteoporosis based on bioinformatics analysis.
10.3760/cma.j.cn112150-20230221-00140
- VernacularTitle:基于生物信息学分析识别老年骨质疏松症核心致病基因及通路
- Author:
Chao WANG
1
;
Xu JIANG
2
;
Quan LI
3
;
Yan Zhuo ZHANG
1
;
Jian Feng TAO
1
;
Cheng Ai WU
1
Author Information
1. National Center for Orthopaedics/Beijing Research Institute of Traumatology and Orthopaedics/Beijing Jishuitan Hospital, Beijing 100035, China.
2. National Center for Orthopaedics/Department of Orthopaedics, Beijing Jishuitan Hospital, Beijing 100035, China.
3. National Center for Orthopaedics/Department of Endocrinology, Beijing Jishuitan Hospital, Beijing 100035, China.
- Publication Type:Journal Article
- MeSH:
Female;
Humans;
Male;
Aged;
Gene Expression Profiling/methods*;
Transcriptome;
Protein Interaction Maps/genetics*;
Computational Biology/methods*;
Osteoporosis/genetics*
- From:
Chinese Journal of Preventive Medicine
2023;57(7):1040-1046
- CountryChina
- Language:Chinese
-
Abstract:
Objective: Using bioinformatics methods to analyze the core pathogenic genes and related pathways in elderly osteoporosis. Methods: From November 2020 and August 2021, eight elderly osteoporosis patients who received treatment and five healthy participants who underwent physical examinations in Beijing Jishuitan Hospital were selected as subjects. The expression level of RNA in the peripheral blood of eight elderly osteoporosis patients and five healthy participants was collected for high-throughput transcriptome sequencing and analysis. The gene ontology (GO) analysis Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis was performed for the differentially expressed genes (DEGs). The protein-protein interaction (PPI) network was constructed using the STRING website and Cytoscape software, and the most significant modules and hub genes were screened out. Results: Among the eight elderly osteoporosis patients, there were seven females and one male, with an average age of 72.4 years (SD=4.2). Among the five healthy participants, there were four females and one male, with an average age of 68.2 years (SD=5.7). A total of 1 635 DEGs (847 up-regulated and 788 down-regulated) were identified. GO analysis revealed that the molecular functions of DEGs were mainly enriched in structural constituents of the ribosome, protein dimerization activity, and cellular components were mainly enriched in the nucleosome, DNA packaging complex, cytosolic part, protein-DNA complex and the cytosolic ribosome. KEGG pathway analysis showed that DEGs were mainly enriched in systemic lupus erythematosus and ribosome. Gene UBA52, UBB, RPS27A, RPS15, RPS12, RPL13A, RPL23A, RPL10A, RPS25 and RPS6 were selected and seven of them could encode ribosome proteins. Conclusion: The pathogenesis of elderly osteoporosis may be associated with ribosome-related genes and pathways.
