Yangyang Zhou
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Yangyang Zhou has a total of 10 co-authors. Here are the top co-authors by number of shared publications:
- Bingyan Xiang
Department of Orthopaedics, Third Affiliated Hospital of Zunyi Medical University (The First People’s Hospital of Zunyi City), Zunyi, China
1 shared publication - Fan Bai
Department of Orthopaedics, Third Affiliated Hospital of Zunyi Medical University (The First People's Hospital of Zunyi City), Zunyi, Guizhou Province, China
1 shared publication - Fan Bai
The First People’s Hospital of Zunyi, Zunyi, China
1 shared publication - Guozhen Deng
Department of Orthopaedics, Third Affiliated Hospital of Zunyi Medical University(The First People's Hospital of Zunyi City), Zunyi, 563000, China
1 shared publication - Hongjiang She
First People’s Hospital of Zunyi City, Zunyi, China
1 shared publication - Peibei Yao
The First People’s Hospital of Zunyi, Zunyi, China
1 shared publication
Latest Publications
- Open Access
- 3 October 2025
- Published by Wolters Kluwer Health in Medicine
- Vol. 104 (40) , e44923
Identification of key mitophagy-related genes in osteomyelitis: Insights from differential gene expression and machine learning models
Osteomyelitis, a severe skeletal infection, involves complex pathogenic mechanisms. Mitophagy (mitophagy) is crucial for cellular homeostasis and has been linked to various diseases, including osteomyelitis. This study explores the genetic basis of mitophagy in osteomyelitis, identifying differentially expressed genes related to mitophagy and their potential as biomarkers and therapeutic targets. Using the GSE30119 dataset from GEO, mRNA expression profiles from 49 osteomyelitis patients and 44 healthy individuals were analyzed. Differential gene expression analysis identified 2876 differentially expressed genes with a threshold of |log FC| > 0.5 and P < .05. Mitophagy-related genes were sourced from GeneCards, with 25 overlapping genes identified. Functional enrichment analyses, including gene ontology and Kyoto encyclopedia of genes and genomes, were conducted. Four machine learning models (generalized linear model, random forest, support vector machine, and extreme gradient boosting) identified 9 key genes for a diagnostic model. Gene set enrichment analysis and immune cell infiltration analysis using CIBERSORT were performed. Furthermore, RT-qPCR was performed to experimentally validate the expression patterns of the identified key genes in an inflammatory cellular model. Twenty-five intersecting genes were identified, with gene ontology and Kyoto encyclopedia of genes and genomes analyses highlighting their roles in autophagy and mitochondrial functions. The random forest model identified 9 key genes: BMP2KL, ALPK1, PGAM5, PINK1, TP53, GPC1, ITPKC, PEX3, and P2RX5, validated with an area under the receiver operating characteristic curve of 0.905. Gene set enrichment analysis indicated their involvement in metabolic and signaling pathways. Immune infiltration analysis revealed significant differences between patients and healthy individuals. RT-qPCR validation confirmed significant expression changes of the 9 key genes under inflammatory conditions, consistent with bioinformatics predictions. This study identifies key mitophagy genes and targets in osteomyelitis, providing a basis for future research and therapies.
- 3 October 2025
- Published by Wolters Kluwer Health in Medicine
- Vol. 104 (40) , e44923
Open AccessIdentification of key mitophagy-related genes in osteomyelitis: Insights from differential gene expression and machine learning models
Osteomyelitis, a severe skeletal infection, involves complex pathogenic mechanisms. Mitophagy (mitophagy) is crucial for cellular homeostasis and has been linked to various diseases, including osteomyelitis. This study explores the genetic basis of mitophagy in osteomyelitis, identifying differentially expressed genes related to mitophagy and their potential as biomarkers and therapeutic targets. Using the GSE30119 dataset from GEO, mRNA expression profiles from 49 osteomyelitis patients and 44 healthy individuals were analyzed. Differential gene expression analysis identified 2876 differentially expressed genes with a threshold of |log FC| > 0.5 and P < .05. Mitophagy-related genes were sourced from GeneCards, with 25 overlapping genes identified. Functional enrichment analyses, including gene ontology and Kyoto encyclopedia of genes and genomes, were conducted. Four machine learning models (generalized linear model, random forest, support vector machine, and extreme gradient boosting) identified 9 key genes for a diagnostic model. Gene set enrichment analysis and immune cell infiltration analysis using CIBERSORT were performed. Furthermore, RT-qPCR was performed to experimentally validate the expression patterns of the identified key genes in an inflammatory cellular model. Twenty-five intersecting genes were identified, with gene ontology and Kyoto encyclopedia of genes and genomes analyses highlighting their roles in autophagy and mitochondrial functions. The random forest model identified 9 key genes: BMP2KL, ALPK1, PGAM5, PINK1, TP53, GPC1, ITPKC, PEX3, and P2RX5, validated with an area under the receiver operating characteristic curve of 0.905. Gene set enrichment analysis indicated their involvement in metabolic and signaling pathways. Immune infiltration analysis revealed significant differences between patients and healthy individuals. RT-qPCR validation confirmed significant expression changes of the 9 key genes under inflammatory conditions, consistent with bioinformatics predictions. This study identifies key mitophagy genes and targets in osteomyelitis, providing a basis for future research and therapies.
- 9 March 2023
- Published by Springer Nature in International Orthopaedics
- Vol. 47 (5) , 1353-1360
Arthroscopic percutaneous pullout suture transverse tunnel technique repair for tibial spine fractures in skeletally immature patients
Purpose We introduce an arthroscopic percutaneous pullout suture transverse tunnel (PP-STT) technique for repair tibial spine fractures (TSF) in skeletally immature patients (SIPs) to avoid damage to the tibial epiphyseal and evaluate the clinical and radiological outcomes of the PP-STT technique for repair TSF in SIPs. Methods Between February 2013 and November 2019, 41 skeletally immature patients were diagnosed with TSF; 21 patients were treated using the conventional transtibial pullout suture (TS-PLS) technique (group 1), and 20 patients were treated using the PP-STT technique (group 2). We compared clinical outcomes using the International Knee Documentation Committee (IKDC), Lysholm, Tegner, and visual analog scale (VAS) scores and participant sport levels, after a minimum of two year follow-up. Residual knee laxity was evaluated using Lachman and anterior drawer tests. Fracture healing and displacement were compared using X-ray. Results Significant improvements in clinical and radiological outcomes between preoperative and final follow-up (Lysholm, Tegner, IKDC, and VAS scores; Lachman and anterior drawer tests; and fracture displacement; p = 0.001) were achieved in both groups, with no significant between-group differences. Groups 1 and 2 exhibited no significant difference in time to radiographic healing (12.2 ± 1.3 weeks vs 13.1 ± 1.5 weeks, respectively; p = 0.513) or in the rate of return to sports level (19 (90.4%) vs 18 (90.0%), respectively; p = 0.826). Conclusion Both surgical techniques provided satisfactory clinical and radiological outcomes. PP-STT may be a suitable alternative to protect the tibial epiphyseal for repair TSP in SIPs.
- 9 March 2023
- Published by Springer Nature in International Orthopaedics
- Vol. 47 (5) , 1353-1360
Arthroscopic percutaneous pullout suture transverse tunnel technique repair for tibial spine fractures in skeletally immature patients
Purpose We introduce an arthroscopic percutaneous pullout suture transverse tunnel (PP-STT) technique for repair tibial spine fractures (TSF) in skeletally immature patients (SIPs) to avoid damage to the tibial epiphyseal and evaluate the clinical and radiological outcomes of the PP-STT technique for repair TSF in SIPs. Methods Between February 2013 and November 2019, 41 skeletally immature patients were diagnosed with TSF; 21 patients were treated using the conventional transtibial pullout suture (TS-PLS) technique (group 1), and 20 patients were treated using the PP-STT technique (group 2). We compared clinical outcomes using the International Knee Documentation Committee (IKDC), Lysholm, Tegner, and visual analog scale (VAS) scores and participant sport levels, after a minimum of two year follow-up. Residual knee laxity was evaluated using Lachman and anterior drawer tests. Fracture healing and displacement were compared using X-ray. Results Significant improvements in clinical and radiological outcomes between preoperative and final follow-up (Lysholm, Tegner, IKDC, and VAS scores; Lachman and anterior drawer tests; and fracture displacement; p = 0.001) were achieved in both groups, with no significant between-group differences. Groups 1 and 2 exhibited no significant difference in time to radiographic healing (12.2 ± 1.3 weeks vs 13.1 ± 1.5 weeks, respectively; p = 0.513) or in the rate of return to sports level (19 (90.4%) vs 18 (90.0%), respectively; p = 0.826). Conclusion Both surgical techniques provided satisfactory clinical and radiological outcomes. PP-STT may be a suitable alternative to protect the tibial epiphyseal for repair TSP in SIPs.