ArticleCalcified tissue international2025
Integrated Bioinformatics Analysis and Experimental Validation of the Role of Cellular Senescence in Osteoporosis.
Article in Calcified tissue international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
This study assessed the effect of cellular senescence-related genes in the development of osteoporosis (OP) via the databases, which may be the potential targeted biomarkers of the OP. The development of OP is significantly influenced by cellular senescence (CS). However, the exact mechanism of CS in OP is unknown. Hence, it is imperative to uncover the molecular mechanisms and therapeutic targets implicated in CS-associated OP. In the Gene Expression Omnibus (GEO) and GeneCards databases, we identified differential genes (DEGs) that are associated with OP and CS. Subsequently, their function was assessed through GO, KEGG, and GSEA analysis. The protein-protein interaction (PPI) network was correlated and analyzed to obtain key genes. Finally, animal models were employed for experimental validation. Eight genes, CDK1, CCNB1, TOP2A, FEN1, CDC6, FOXM1, CDC25A, and MCM2, were recognized as potential biomarker genes. FEN1 and CDC6, as new potential markers, have not been reported yet. We found that cell cycle regulation has an important role in aging-induced OP, which provides new ideas for the further development of targeted therapies.
Indexed as
Identifiers
41361583What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.