Evidence map›Paper›PMID 38734758›Full record

ArticleBiochemical genetics2025

Identification and Verification of Endoplasmic Reticulum Stress-Related Genes as Novel Signatures for Osteoarthritis Diagnosis and Therapy: A Bioinformatics Analysis-Oriented Pilot Study.

Jia Lv, Nannan Kou, Yunxuan Li, Kejia Qiu, Xiang Guo, Li Zhang, Zhichao Zhang, Shaoxuan He, Yong Yuan

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Article in Biochemical genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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4 · The record

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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

9 authors.

Jia Lv *Department of Trauma Surgery, The Second Affiliated Hospital of Kunming Medical University, 374 Yunnan-Myanmar Avenue, Kunming, 650101, China.
Nannan Kou *Department of Trauma Surgery, The Second Affiliated Hospital of Kunming Medical University, 374 Yunnan-Myanmar Avenue, Kunming, 650101, China.
Yunxuan Li *Department of Trauma Surgery, The Second Affiliated Hospital of Kunming Medical University, 374 Yunnan-Myanmar Avenue, Kunming, 650101, China.
Kejia QiuDepartment of Trauma Surgery, The Second Affiliated Hospital of Kunming Medical University, 374 Yunnan-Myanmar Avenue, Kunming, 650101, China.
Xiang GuoDepartment of Trauma Surgery, The Second Affiliated Hospital of Kunming Medical University, 374 Yunnan-Myanmar Avenue, Kunming, 650101, China.
Li ZhangDepartment of Trauma Surgery, The Second Affiliated Hospital of Kunming Medical University, 374 Yunnan-Myanmar Avenue, Kunming, 650101, China.
Zhichao ZhangDepartment of Trauma Surgery, The Second Affiliated Hospital of Kunming Medical University, 374 Yunnan-Myanmar Avenue, Kunming, 650101, China.
Shaoxuan HeDepartment of Trauma Surgery, The Second Affiliated Hospital of Kunming Medical University, 374 Yunnan-Myanmar Avenue, Kunming, 650101, China. heshaoxuan@126.com.
Yong YuanDepartment of Trauma Surgery, The Second Affiliated Hospital of Kunming Medical University, 374 Yunnan-Myanmar Avenue, Kunming, 650101, China. yuanyongdoc@163.com.

Funding

Second Affiliated Hospital of Kunming Medical University 2019YK009
6 · The paper itself

Abstract

background and purposeEndoplasmic reticulum stress (ERS) has been reported to be closely associated with the development of osteoarthritis (OA), but the underlying mechanisms are not fully delineated. The present study was designed to investigate the involvement of ERS-related genes in regulating OA progression.

methodsThe expression profiles of OA patients and normal people were downloaded from the gene expression omnibus (GEO) database. The differentially expressed genes (DEGs) in datasets GSE55457 and GSE55235 were screened and identified by R software with the construction of the protein-protein interaction (PPI) networks. Through the STRING and Venn diagram analysis, hub ERS-related genes were obtained. Gene ontology (GO) and kyoto encyclopedia of genes and genomes (KEGG) enrichment analyses were performed. Biomarkers with high diagnostic values of osteoarthritis (OA) were studied. The hematoxylin and eosin (H&E) staining and micro-CT were applied to evaluate the establishment of the OA model. The expression levels of biomarkers were validated with the use of reverse transcription‑quantitative polymerase chain reaction (RT-qPCR) and western blot. Finally, we evaluated the correlations of hub ERS-related genes with the immune infiltration cells via the CIBERSORT algorithm.

resultsA total of 60 downregulated and 52 upregulated DEGs were identified, and the following GO and KEGG pathway analyses verified that those DEGs were mainly enriched in biological process (BP), cellular component (CC), molecular function (MF), and inflammation-associated signal pathways. Interestingly, among all the DEGs, six ER stress-associated genes, including activating transcription factor 3 (ATF3), DEAD-Box Helicase 3 X-Linked (DDX3X), AP-1 transcription factor subunit (JUN), eukaryotic initiation factor 4 (EIF4A1), KDEL endoplasmic reticulum protein retention receptor 3 (KDELR3), and vascular endothelial growth factor A (VEGFA), were found to be closely associated with OA progression, and the following RT-qPCR and Western Blot analysis confirmed that DDX3X, JUN, and VEGFA were upregulated, whereas KDELR3, EIF4A1, and ATF3 were downregulated in OA rats tissues compared to the normal tissues, which were in accordance with our bioinformatics findings. Furthermore, our receiver operating characteristic (ROC) curve analysis verified that the above six ER stress-associated genes could be used as ideal biomarkers for OA diagnosis and those genes also potentially regulated immune responses by influencing the biological functions of mast cells and macrophages.

conclusionCollectively, the present study firstly identified six ER stress-associated genes (ATF3, DDX3X, JUN, EIF4A1, KDELR3, and VEGFA) that may play critical role in regulating the progression of OA.

Indexed as

Computational BiologyEndoplasmic Reticulum StressOsteoarthritisAnimalsBiomarkersGene Expression ProfilingHumansPilot ProjectsProtein Interaction MapsRatsBiomarkersBioinformatics analysisEndoplasmic reticulum stressMicroarrayOsteoarthritis

Identifiers

PMID38734758

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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 OpenQuestion graph.