Chinese Journal of Tissue Engineering Research ›› 2026, Vol. 30 ›› Issue (33): 8676-8686.doi: 10.12307/2026.482

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Bioinformatics analysis of cuproptosis in periodontitis and verification in a periodontitis rat model 

Qin Yufeng1, 2, Feng Xiaoyun3, Gao Hongli2, Xiong Lin2, Zhang Yuehan1, Chen Helin1, 2   

  1. 1College of Stomatology, Guizhou Medical University, Guiyang 550004, Guizhou Province, China; 2Affiliated Stomatological Hospital of Guizhou Medical University, Guiyang 550004, Guizhou Province, China; 3Shizhen College, Guizhou University of Traditional Chinese Medicine, Guiyang 550000, Guizhou Province, China
  • Received:2025-10-29 Revised:2026-03-12 Online:2026-11-28 Published:2026-06-13
  • Contact: Chen Helin, PhD, Associate chief physician, Master’s supervisor, College of Stomatology, Guizhou Medical University, Guiyang 550004, Guizhou Province, China; Affiliated Stomatological Hospital of Guizhou Medical University, Guiyang 550004, Guizhou Province, China
  • About author:Qin Yufeng, MS candidate, College of Stomatology, Guizhou Medical University, Guiyang 550004, Guizhou Province, China; Affiliated Stomatological Hospital of Guizhou Medical University, Guiyang 550004, Guizhou Province, China
  • Supported by:
    the National Natural Science Foundation of China (Regional Program), No. 82160186 (to CHL); Plan Project of Guizhou Provincial Science and Technology Department, No. Qiankehejichu-ZK[2021]General 433 (to CHL)

Abstract: BACKGROUND: Through analyzing the expression of cuproptosis-related genes in periodontitis tissues, this study attempted to explore the significance of cuproptosis-related biomarkers in the diagnosis and treatment of periodontitis during the development of periodontitis. 
OBJECTIVE: To explore the expression of cuproptosis-related genes in periodontitis and their potential mechanisms through bioinformatics analysis. 
METHODS: Periodontitis transcriptome datasets GSE10334 and GSE156993 were obtained from the Gene Expression Omnibus (GEO) database. After eliminating batch effects, they were integrated into a meta-cohort. Hub genes were screened and identified using the Least Absolute Shrinkage and Selection Operator, Support Vector Machine-Recursive Feature Elimination, and Venn analysis. Subsequently, a comprehensive analysis of the distribution and role of these hub genes in periodontitis was performed using receiver operating characteristic curves, functional enrichment analysis, immune cell infiltration analysis, single-cell analysis (dataset GSE171213), gene-drug network analysis, nomogram model construction, and consensus clustering. Further validation was conducted in a Sprague-Dawley rat periodontitis model.

RESULTS AND CONCLUSION: (1) Three hub cuproptosis signature genes (NOD-like receptor pyrin domain-containing protein 3, dihydrolipoamide succinyltransferase and glutamine synthetase) in periodontitis were identified using machine learning algorithms. These genes were significantly upregulated in periodontal tissues, with NOD-like receptor pyrin domain-containing protein 3 (the area under the curve=0.828) and glutamine synthetase (the area under the curve=0.830) showing good diagnostic value, suggesting their potential as diagnostic biomarkers for periodontitis. (2) Dihydrolipoamide succinyltransferase induced mitochondrial dysfunction by regulating the tricarboxylic acid cycle and lipoic acid metabolism; NOD-like receptor pyrin domain-containing protein 3 amplified inflammatory responses through inflammasome activation; and glutamine synthetase supported immune cell function by enhancing glutamine metabolism. These three genes synergistically regulated cuproptosis to drive the progression of periodontitis. (3) The expression levels of NOD-like receptor pyrin domain-containing protein 3, dihydrolipoamide succinyltransferase and glutamine synthetase were upregulated in the Sprague-Dawley rat model of periodontitis and positively correlated with the amount of alveolar bone resorption, providing in vivo evidence for the proposed mechanistic hypothesis. These findings indicate that NOD-like receptor pyrin domain-containing protein 3, dihydrolipoamide succinyltransferase and glutamine synthetase, as hub genes of cuproptosis, play important roles in the occurrence and development of periodontitis and possess potential diagnostic value.

Key words: cuproptosis, periodontitis, bioinformatics, NOD-like receptor pyrin domain-containing protein 3 (NLRP3), glutamine synthetase (GLS), dihydrolipoamide succinyltransferase (DLST)

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