Liu Fen, Zhu Zhipeng, Zou Huaxi, Huang Zhen, Xiao Shengkai, Li Zhihua
School of Stomatology, Jiangxi Medical College, Nanchang University, Jiangxi Provincial Key Laboratory of Oral Diseases, Jiangxi Provincial Clinical Research Center for Oral Disease, Nanchang, Jiangxi, People's Republic of China.
Department of Cardiovascular Surgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, People's Republic of China.
J Inflamm Res. 2024 Dec 30;17:11861-11880. doi: 10.2147/JIR.S492048. eCollection 2024.
Autophagy plays a crucial role in the pathophysiology of periodontitis, yet its precise involvement in the disease process remains elusive. The aim of the present study was thus to investigate the involvement of autophagy in the pathology of periodontitis. This investigation involved transcriptomic analysis of a broad range of human samples and complemented by in vitro experimentation.
We analyzed the transcriptomes of human gingival tissues from individuals with periodontitis and health controls to identify the differential expression of autophagy-related genes (DEARGs) and to investigate their potential interactions and functional pathways. Additionally, protein-protein interaction (PPI) networks were constructed to identify key functional modules and hub genes. Experimental validation of autophagy regulation in periodontitis and identification of key autophagy-regulating genes was accomplished through in vitro cellular experiments. Subsequently, a comprehensive analysis of immune cell infiltrate utilizing the CIBERSORT algorithm was performed. Finally, leveraging the DSigDB database, potential candidate drugs for periodontitis treatment targeting autophagy were predicted.
A total of 79 genes have been identified as DEARGs in periodontitis. An intricate interplay among the DEARGs and their impact on the regulatory mechanisms of autophagy within the context of periodontitis was observed. Subsequently, 10 hub genes were discerned through the establishment of a PPI network. Furthermore, dysregulated autophagic activity in periodontitis was validated, and 9 key genes (APP, KDR, IL1B, CXCL12, CXCR4, IL6, FOS, LCK, and SHC1) were identified through in vitro experiments. Our analysis unveiled an association between these genes and altered immune cell infiltration in periodontitis. Additionally, we predicted potential therapeutic agents such as curcumin, 27-hydroxycholesterol, and Trolox, showing promise in the treatment of periodontitis by modulating the autophagic process.
This study identified nine key genes for autophagy regulation and potential therapeutic agents in periodontitis. These findings not only enhance our comprehension of the pathological mechanisms of periodontitis but also provide substantial evidence for the advancement of novel therapeutic strategies.
自噬在牙周炎的病理生理学中起着至关重要的作用,但其在疾病过程中的具体参与情况仍不清楚。因此,本研究的目的是调查自噬在牙周炎病理中的作用。这项研究包括对大量人类样本进行转录组分析,并辅以体外实验。
我们分析了牙周炎患者和健康对照者的人类牙龈组织转录组,以确定自噬相关基因的差异表达(DEARGs),并研究它们的潜在相互作用和功能途径。此外,构建了蛋白质-蛋白质相互作用(PPI)网络,以识别关键功能模块和枢纽基因。通过体外细胞实验完成了牙周炎中自噬调节的实验验证和关键自噬调节基因的鉴定。随后,利用CIBERSORT算法对免疫细胞浸润进行了全面分析。最后,利用DSigDB数据库,预测了针对自噬的牙周炎治疗潜在候选药物。
在牙周炎中总共鉴定出79个基因作为DEARGs。观察到DEARGs之间复杂的相互作用及其在牙周炎背景下对自噬调节机制的影响。随后,通过建立PPI网络识别出10个枢纽基因。此外,验证了牙周炎中自噬活性失调,并通过体外实验鉴定出9个关键基因(APP、KDR、IL1B、CXCL12、CXCR4、IL6、FOS、LCK和SHC1)。我们的分析揭示了这些基因与牙周炎中免疫细胞浸润改变之间的关联。此外,我们预测了姜黄素、27-羟基胆固醇和生育三烯酚等潜在治疗药物,它们在通过调节自噬过程治疗牙周炎方面显示出前景。
本研究确定了牙周炎中自噬调节的9个关键基因和潜在治疗药物。这些发现不仅增进了我们对牙周炎病理机制的理解,也为新治疗策略的发展提供了大量证据。