<HashMap><database>GEO</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Other>ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE315nnn/GSE315467/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Transcriptomics</omics_type><species>Mus musculus</species><gds_type>Expression profiling by high throughput sequencing</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE315467</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Identification of Aging-Related Signature Genes in Temporomandibular Joint Degeneration Based on Bioinformatics</name><description>Background: Temporomandibular joint (TMJ) degenerative diseases are increasingly affecting elderly populations, with aging being a significant risk factor driving the TMJ changes. This study aims to explore the shared characteristics between aging and TMJ degenerative diseases at the tissue level, and to identify aging-related signature genes in TMJ degenerations using bioinformatics approaches. Methods: Young (2 months of age, n=7) and aged (18 months of age, n=6) mice’s condyles were used to construct an aging dataset. Overlapping genes were selected from differentially expressed genes in the TMJOA dataset, aging dataset and mechanical stimulation dataset. Temporomandibular joint osteoarthritis-associated and aging-related differentially expressed genes (TMJOA-ARDEGs) were identified through Weighted gene co-expression network analysis. Functional enrichment analysis and Protein-Protein Interaction networks were employed. Machine learning was applied to select Hub temporomandibular joint osteoarthritis-associated and aging-related differentially expressed genes (Hub TMJOA-ARDEGs). An age-related TMJOA mouse model (18 months of age) was established and grouped based on the micro-CT and the modified Mankin scores. The expression changes of key Hub TMJOA-ARDEGs were verified by immunohistochemical staining. The Mann-Whitney U test was used in non-normally distributed data, presented as [median (interquartile range)]. Results: Fifty-two TMJOA-ARDEGs were identified, with functional enrichment analysis revealed that these genes participate in circadian rhythm and apoptosis. Eight Hub TMJOA-ARDEGs were identified, ANK1, MELTF, FERMT3, MDFI, CXCL14, EPHA3, SMOC2 and NR1D1. Based on the micro-CT, 12 TMJs of aged mice were divided into the TMJOA group (n=6) and the healthy group (n=6). Micro-CT revealed bone resorption in the TMJOA group compared to the healthy group, with a decrease in BV/TV (p&lt;0.05) and an increase in Tb.Sp (p&lt;0.05). The modified Mankin scores showed that the TMJOA group had a score of 5.61 (2.28), higher than the healthy group's score of 0.83 (1.28), p&lt;0.01. These results confirm the validity of the model grouping. Among the Hub TMJOA-ARDEGs, NR1D1 is a key gene involved in regulating circadian rhythm. In immunohistochemical staining, the expression level of NR1D1 showed significantly elevated expression in osteoarthritis mice (p&lt;0.01). Conclusion: NR1D1, a negative feedback regulator in the circadian rhythm loop, is a characteristic gene associated with both aging and TMJ degenerative diseases.</description><dates><publication>2026/04/26</publication></dates><accession>GSE315467</accession><cross_references><GSM>GSM9429192</GSM><GSM>GSM9429181</GSM><GSM>GSM9429191</GSM><GSM>GSM9429190</GSM><GSM>GSM9429185</GSM><GSM>GSM9429184</GSM><GSM>GSM9429183</GSM><GSM>GSM9429182</GSM><GSM>GSM9429193</GSM><GSM>GSM9429189</GSM><GSM>GSM9429188</GSM><GSM>GSM9429187</GSM><GSM>GSM9429186</GSM><GPL>23479</GPL><GSE>315467</GSE><taxon>Mus musculus</taxon></cross_references></HashMap>