Bioinformatic analysis of the molecular mechanisms underlying the progression of bone defects

Hao Liu; Xuan Zhao; Yin Li; Jiang Yi; Chenxi Zhang; Ziyang Zheng; Siming Dai; Guoyong Yin; Shujie Zhao

doi:10.3389/fmed.2023.1157099

Bioinformatic analysis of the molecular mechanisms underlying the progression of bone defects

Front Med (Lausanne). 2023 Jun 8:10:1157099. doi: 10.3389/fmed.2023.1157099. eCollection 2023.

Authors

Hao Liu^{1

2

3}, Xuan Zhao^{1

2

3}, Yin Li^{1

2

3}, Jiang Yi^{1

2

3}, Chenxi Zhang^{1

2

3}, Ziyang Zheng^{1

2

3}, Siming Dai^{1

2

3}, Guoyong Yin^{1

2

3}, Shujie Zhao^{1

2

3}

Affiliations

¹ Department of Orthopedics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
² Jiangsu Institute of Functional Reconstruction and Rehabilitation, Nanjing, Jiangsu, China.
³ Spinal Cord Disease Research Center, Nanjing Medical University, Nanjing, Jiangsu, China.

Abstract

Background: The pathophysiology of bone defects (BDs) is complex, and the treatment for bone defects, in particular massive bone defects, remains a major clinical challenge. Our study was conducted to explore the molecular events related to the progression of bone defects a common clinical condition.

Methods: First, microarray data of GSE20980 were obtained from the Gene Expression Omnibus (GEO) database, where 33 samples in total were used to analyze the molecular biological processes related to bone defects. Next, the original data were normalized and differentially expressed genes (DEGs) were identified. Additionally, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted. Finally, a protein-protein interaction (PPI) network was constructed and the trends of the different genes were confirmed.

Results: Compared with the samples of non-critical size defects (NCSD), the samples of critical size defects (CSD) had 2057, 827, and 1,024 DEGs at 7, 14, and 21 days post injury, respectively. At day 7, the DEGs were significantly enriched in metabolic pathways, at day 14 the DEGs were predominantly enriched in G-protein coupled signaling pathways and the Janus kinase (JAK)-signal transducer and activator of transcription (STAT) signaling pathway, and at day 21 the DEGs were mainly enriched in circadian entrainment and synaptic-related functions. The PPI network showed similar results. Quantitative real-time PCR (qRT-PCR) and western blot (WB) were performed to validate the partial results of sequencing.

Conclusion: This study provides some clues about the molecular mechanism behind bone defects, which should contribute to scientific research and clinical treatment of this condition.

Keywords: Kyoto encyclopedia of genes and genomes (KEGG); bone defects; circadian rhythms; metabolic pathway; protein–protein interaction (PPI).