Omics · study · 2026
Identification of Aging-Related Signature Genes in Temporomandibular Joint Degeneration Based on Bioinformatics
Listed in NCBI GEO
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.
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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<0.05) and an increase in Tb.Sp (p<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<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<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.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE315nnn/GSE315467 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE315467 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1397197 ncbi.nlm.nih.gov/bioproject/PRJNA1397197 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Mus musculus
- From keywords
- Life Sciences
- Inferred from text
- Genetics 71%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE315467 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].anzsrc:group:3105 | enrichment · NCBI GEO | taxonomy-embedding@1.0.0 | title+keywords+description (71%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[organism].NCBITaxon:10090 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |