Shanghai Journal of Stomatology ›› 2025, Vol. 34 ›› Issue (4): 346-353.doi: 10.19439/j.sjos.2025.04.002

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Proteomic analysis of dental pulp serum in pulpitis at different stages

Sui Xin, Xu Huaxing, Li Jiayang, Qin Zhiming, Ma Zhifei, Zhou Rongrui, Zhou Qiangqiang, Wei Xiaoling   

  1. Department of Operative Dentistry and Endodontics, Shanghai Stomatological Hospital and School of Stomatology, Fudan University; Shanghai Key Laboratory of Craniomaxillofacial Development and Diseases, Fudan University. Shanghai 200001, China
  • Received:2024-05-29 Revised:2024-07-06 Online:2025-08-25 Published:2025-08-26

Abstract: PURPOSE: To investigate the differentially expressed proteins in dental pulp serum of pulpitis at different stages. METHODS: Dental pulp serum was collected from 9 pulpitis patients and categorized into three groups: initial pulpitis (IP), mild to moderate pulpitis (MP) and severe pulpitis (SP). Proteomics technology was utilized to screen for differentially expressed proteins. Functional annotation and enrichment analysis were then conducted using the Metascape database, while protein-protein interaction analysis was performed with the STRING database. RESULTS: Compared with the IP group, the MP group had 20 upregulated proteins and 23 downregulated proteins, while the SP group had one upregulated protein and 44 downregulated proteins. Compared to the MP group, the SP group had 9 upregulated proteins and 15 downregulated proteins. The differential proteins were mainly involved in key biological processes such as cellular response to stress, adaptive immune response, and the Parkin-ubiquitin proteasomal system. Protein-protein interaction network analysis identified several key functional nodes, including CCT6A. CONCLUSIONS: This study analyzed the differential expression of proteins in dental pulp serum between early, mild to moderate, and severe pulpitis, providing a theoretical basis for accurate diagnosis and clinical decision-making of pulpitis.

Key words: Pulpitis, Dental pulp serum, Proteomics, Biomarkers

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