Evidence map›Paper›PMID 42589305›Full record

ArticleInternational journal of molecular sciences2026

Transcriptomic Analysis Reveals PACS1 as a Potential Shared Candidate Biomarker for Apical Periodontitis and Osteoporosis.

Saixuan Wu, Sen Wang, Huicong Bai, Jingyantong Zhang, Zhen Zhang, Ming Dong, Weidong Niu

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Saixuan WuSchool and Hospital of Stomatology, Dalian Medical University, Dalian 116044, China.
Sen WangSchool and Hospital of Stomatology, Dalian Medical University, Dalian 116044, China.ORCID 0009-0009-5187-4588
Huicong BaiSchool and Hospital of Stomatology, Dalian Medical University, Dalian 116044, China.
Jingyantong ZhangSchool and Hospital of Stomatology, Dalian Medical University, Dalian 116044, China.
Zhen ZhangSchool and Hospital of Stomatology, Dalian Medical University, Dalian 116044, China.
Ming DongSchool and Hospital of Stomatology, Dalian Medical University, Dalian 116044, China.
Weidong NiuSchool and Hospital of Stomatology, Dalian Medical University, Dalian 116044, China.

Funding

Educational Department of Liaoning Province LJ222410161071Educational Department of Liaoning Province LJ222410161078National Natural Science Foundation of China 82270971National Natural Science Foundation of China 82401094
6 · The paper itself

Abstract

Apical periodontitis (AP), a localized inflammatory bone disease, and osteoporosis (OP), a systemic metabolic bone disorder, are both characterized by chronic inflammation and dysregulated bone metabolism, yet the molecular mechanisms underlying their association remain unclear. This study aimed to identify shared biomarkers and pathogenic pathways linking AP and OP. Gene expression datasets for AP and OP were obtained from the Gene Expression Omnibus database, and shared differentially expressed genes were identified and analyzed using functional enrichment, Gene set enrichment analysis (GSEA), Gene set variation analysis GSVA, and single-sample gene set enrichment analysis (ssGSEA)-based immune infiltration approaches. A random forest model was applied to prioritize candidate genes, followed by validation using single-cell RNA sequencing datasets, clinical samples, and in vitro assays. Forty-three shared differentially expressed genes were identified, among which

Indexed as

OsteoporosisTranscriptomeVesicular Transport ProteinsBiomarkersCell DifferentiationGene Expression ProfilingHumansOsteoblastsBiomarkersVesicular Transport Proteinsapical periodontitisimmune infiltrationosteoblast differentiationosteoporosisPACS1

Identifiers

PMID42589305
PMCPMC13466771

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.