نبذة مختصرة : Zhiyong Lin,1,* Yue Cheng,2,* Qianwen Tang,1 Hao Zheng,1 Huanji Li,1 Yongyun Lian1 1Department of Orthopedics, Fourth Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China; 2Department of Cardiovascular Surgery, Fourth Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yongyun Lian, Department of Orthopedics, Fourth Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China, Email liandadong@163.comPurpose: Osteoporosis is a metabolic bone disorder characterized by reduced bone mass, impaired microarchitecture, and diminished bone strength, resulting in a significantly elevated risk of fractures. It is especially prevalent among older adults, particularly postmenopausal females, and profoundly impacts quality of life. In this study, we integrated osteoporosis-related single-cell RNA sequencing (scRNA-seq) and microarray datasets, to identify the autophagy-related gene ATG7, which is associated with osteoporosis.Methods: By integrating single-cell transcriptomics with chip data, autophagy-related genes associated with osteoporosis were screened, and cell-cell interactions and developmental trajectories were explored using cell communication and pseudotime analysis. An ovariectomized (OVX) mouse model was established, and verification was performed using micro-CT and immunohistochemistry techniques. Dual-labeled three-color fluorescence technology was employed to further validate the pseudotime analysis results. Additionally, qRT-PCR, Western blot, and other experiments were conducted to assess the expression levels of related genes. Further, ATG7 was overexpressed in OVX mouse BMSCs to investigate its impact on the autophagy process and osteogenic marker proteins.Results: Pseudotime trajectory analysis revealed a strong link between ATG7 expression and the EYA1 mesenchymal stem cell (MSC) subpopulation. The proportion of ...
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