Evidence map›Paper›PMID 41459514›Full record

ArticleFrontiers in immunology2025

Identification and validation of ubiquitination-associated genes of senile osteoporosis based on bioinformatics analysis.

Xiyue Cheng, Junchuan Liu, Yiman Guan, Boya Jing, Jing Zhao, Yan Cao

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xiyue ChengDepartment of General Practice, Hebei Medical University Third Hospital, Shijiazhuang, China.
Junchuan LiuFirst Department of Comprehensive Orthopedics, Hebei Medical University Third Hospital, Shijiazhuang, China.
Yiman GuanDepartment of Ultrasound, Hebei Medical University Third Hospital, Shijiazhuang, China.
Boya JingDepartment of General Practice, Hebei Medical University Third Hospital, Shijiazhuang, China.
Jing ZhaoDepartment of General Practice, Hebei Medical University Third Hospital, Shijiazhuang, China.
Yan CaoDepartment of General Practice, Hebei Medical University Third Hospital, Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Senile osteoporosis (SOP) is linked to the ubiquitination process, with dysregulation of ubiquitin-mediated protein turnover disrupting bone remodeling and resulting in decreased bone mineral density (BMD). This study aimed to identify biomarkers related to ubiquitination in SOP and explore their molecular regulatory mechanisms. Methods: Transcriptomic data of SOP samples (categorized by high and low BMD) were obtained from public databases. Differential expression analysis, protein-protein interaction networks, and the CytoHubba plugin (using Maximum Neighborhood Component and degree algorithms) were utilized, alongside the Least Absolute Shrinkage and Selection Operator, to identify ubiquitination-related genes (URGs) as potential SOP biomarkers. The diagnostic potential of these biomarkers was assessed through a Support Vector Machine model and a nomogram. Their molecular mechanisms were further investigated using enrichment analysis, immune infiltration analysis, and the construction of regulatory networks. Expression levels of the biomarkers were validated in a SOP rat model, with enzyme-linked immunosorbent assay applied to detect relevant indices. Results: RPS27A and UBE2E1 were significantly underexpressed in low BMD samples and demonstrated a strong ability to differentiate between patients with varying BMDs, making them potential diagnostic biomarkers for SOP. A positive correlation was observed between RPS27A and UBE2E1 (cor = 0.35, Conclusion: This study successfully identified RPS27A and UBE2E1 as key biomarkers for SOP, demonstrating their diagnostic potential and involvement in important biological pathways and immune responses, thus offering new prospects for therapeutic interventions.

Indexed as

Computational BiologyOsteoporosisUbiquitinationAgedAnimalsBiomarkersBone DensityDisease Models, AnimalFemaleGene Expression ProfilingGene Regulatory NetworksHumansMaleProtein Interaction MapsRatsTranscriptomeBiomarkersUbiquitin-Conjugating EnzymesbiomarkersdiagnosisRPS27asenile osteoporosisUbe2E1ubiquitination

Identifiers

PMID41459514
PMCPMC12740899

What Socratic holds

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Registered trials

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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.