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2024, Vol. 28 ›› Issue (28): 4505-4510

Molecular mechanism of PANoptosis in diagnostic markers and subtyping of osteoporosis

Ding Qiang1, Xiong Bo1, Liu Jinfu2, Tian Zhao1, Rong Xiangbin3, Chen Limin1, Tao Hongcheng1, Li Hao1, Zeng Ping2   

  1. 1The First Clinical Medical College of Guangxi University of Chinese Medicine, Nanning 530000, Guangxi Zhuang Autonomous Region, China; 2The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning 530000, Guangxi Zhuang Autonomous Region, China; 3Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning 530000, Guangxi Zhuang Autonomous Region, China

  • Received:2023-06-05 Accepted:2023-07-27 Online:2024-10-08 Published:2023-11-27

  • Contact: Zeng Ping, MD, Chief physician, The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning 530000, Guangxi Zhuang Autonomous Region, China

  • About author:Ding Qiang, MD candidate, The First Clinical Medical College of Guangxi University of Chinese Medicine, Nanning 530000, Guangxi Zhuang Autonomous Region, China

  • Supported by:

    National Natural Science Foundation of China, No. 81960876 (to ZP); Doctoral Innovation Project of Guangxi Zhuang Autonomous Region, No. YCBZ2023152 (to DQ)


Abstract: BACKGROUND: It has been hypothesized that PANoptosis may be involved in the pathologic process of osteoporosis, but there have been no studies addressing the mechanisms of PANoptosis genes in osteoporosis.
OBJECTIVE: To analyze the biological mechanism of PANoptosis regulators in the occurrence and development of osteoporosis.
METHODS: The GSE56815 dataset was obtained from the Gene Expression Omnibus database and PANoptosis genes were extracted for differential analysis. The key genes of PANoptosis were screened by random forest tree model to construct a disease risk prediction model. Consensus clustering algorithm, single sample genome enrichment analysis and immune infiltration analysis were used to explore the differences between different PANoptosis molecular subtypes. Herbal drugs that regulate the key genes of PANoptosis were predicted through Coremine medical database, a medical ontology information retrieval platform.
RESULTS AND CONCLUSION: Based on the four PANoptosis key genes (CASP1, CASP10, MEFV, and TNF), the diagnostic markers of osteoporosis were determined, and the risk prediction model was constructed and verified. Osteoporosis was divided into two different PANoptosis subtypes (clusters A, B and gene clusters A, B), and the PANoptosis scores of cluster B and gene cluster B were higher than those of cluster A and gene cluster A, respectively. Traditional Chinese drugs such as ginseng which can regulate the key genes of PANoptosis were predicted by the Coremine medical database.

Key words: osteoporosis, PANoptosis, prediction model, molecular subtype, traditional Chinese medicine prediction


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