Frontiers in Genetics | |
PCDH7 as the key gene related to the co-occurrence of sarcopenia and osteoporosis | |
Genetics | |
Bingdi Chen1  Jun Li1  Jingyao Chen1  Guixin Sun2  Mingchong Liu2  Chensong Yang2  Qidong Wang2  Yongheng Wang3  Wentao Shi3  | |
[1] Institute for Regenerative Medicine, Shanghai East Hospital, The Institute for Biomedical Engineering and Nano Science, Tongji University School of Medicine, Shanghai, China;Shanghai East Hospital, School of Medicine, Shanghai, China;Shanghai Tenth People’s Hospital, School of Medicine, Shanghai, China; | |
关键词: sarcopenia; osteoporosis; crosstalk genes; machine learning; bioinformatic analysis; | |
DOI : 10.3389/fgene.2023.1163162 | |
received in 2023-02-10, accepted in 2023-04-06, 发布年份 2023 | |
来源: Frontiers | |
【 摘 要 】
Sarcopenia and osteoporosis, two degenerative diseases in older patients, have become severe health problems in aging societies. Muscles and bones, the most important components of the motor system, are derived from mesodermal and ectodermal mesenchymal stem cells. The adjacent anatomical relationship between them provides the basic conditions for mechanical and chemical signals, which may contribute to the co-occurrence of sarcopenia and osteoporosis. Identifying the potential common crosstalk genes between them may provide new insights for preventing and treating their development. In this study, DEG analysis, WGCNA, and machine learning algorithms were used to identify the key crosstalk genes of sarcopenia and osteoporosis; this was then validated using independent datasets and clinical samples. Finally, four crosstalk genes (ARHGEF10, PCDH7, CST6, and ROBO3) were identified, and mRNA expression and protein levels of PCDH7 in clinical samples from patients with sarcopenia, with osteoporosis, and with both sarcopenia and osteoporosis were found to be significantly higher than those from patients without sarcopenia or osteoporosis. PCDH7 seems to be a key gene related to the development of both sarcopenia and osteoporosis.
【 授权许可】
Unknown
Copyright © 2023 Liu, Wang, Shi, Yang, Wang, Chen, Li, Chen and Sun.
【 预 览 】
Files | Size | Format | View |
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RO202310106161713ZK.pdf | 5742KB | download |