Activation of the renin-angiotensin system introduces osteoarthritis

Yamagishi, Kotaro; Tsukamoto, Ichiro; Akagi, Masao

doi:10.1016/j.joca.2015.02.581

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“… 25 In addition, renin-angiotensin system could regulate hypertrophic differentiation of chondrocytes. 26 Furthermore, another earlier study reported that AGT precursor in synovial fluid participated in the mechanism of OA by inhibiting proteinase activities. 27 In this study, AGT was also a hub node in PPI network, regulated by SPI1.…”

Section: Discussionmentioning

confidence: 99%

Investigation of candidate genes for osteoarthritis based on gene expression profiles

Dong

Xia

Wang

et al. 2016

Acta Orthopaedica et Traumatologica Turcica

View full text Add to dashboard Cite

ObjectiveTo explore the mechanism of osteoarthritis (OA) and provide valid biological information for further investigation.MethodsGene expression profile of GSE46750 was downloaded from Gene Expression Omnibus database. The Linear Models for Microarray Data (limma) package (Bioconductor project, http://www.bioconductor.org/packages/release/bioc/html/limma.html) was used to identify differentially expressed genes (DEGs) in inflamed OA samples. Gene Ontology function enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways enrichment analysis of DEGs were performed based on Database for Annotation, Visualization and Integrated Discovery data, and protein–protein interaction (PPI) network was constructed based on the Search Tool for the Retrieval of Interacting Genes/Proteins database. Regulatory network was screened based on Encyclopedia of DNA Elements. Molecular Complex Detection was used for sub-network screening. Two sub-networks with highest node degree were integrated with transcriptional regulatory network and KEGG functional enrichment analysis was processed for 2 modules.ResultsIn total, 401 up- and 196 down-regulated DEGs were obtained. Up-regulated DEGs were involved in inflammatory response, while down-regulated DEGs were involved in cell cycle. PPI network with 2392 protein interactions was constructed. Moreover, 10 genes including Interleukin 6 (IL6) and Aurora B kinase (AURKB) were found to be outstanding in PPI network. There are 214 up- and 8 down-regulated transcription factor (TF)-target pairs in the TF regulatory network. Module 1 had TFs including SPI1, PRDM1, and FOS, while module 2 contained FOSL1. The nodes in module 1 were enriched in chemokine signaling pathway, while the nodes in module 2 were mainly enriched in cell cycle.ConclusionThe screened DEGs including IL6, AGT, and AURKB might be potential biomarkers for gene therapy for OA by being regulated by TFs such as FOS and SPI1, and participating in the cell cycle and cytokine–cytokine receptor interaction pathway.

show abstract

Section: Discussionmentioning

confidence: 99%

Investigation of candidate genes for osteoarthritis based on gene expression profiles

Dong

Xia

Wang

et al. 2016

Acta Orthopaedica et Traumatologica Turcica

View full text Add to dashboard Cite

show abstract

“…Evidence had demonstrated that local renin-angiotensin system components expressed particularly in hypertrophic chondrocytes and did not in hyaline chondrocytes (25). Recently, Yamagishi et al revealed that activation of the renin-angiotensin system may introduce OA (26). Evidence had shown that an ACE inhibitor (Ramipril) could improve vascular function in patients with rheumatoid arthritis (27).…”

Section: Gene Changementioning

confidence: 99%

Identification of potential target genes associated with the pathogenesis of osteoarthritis using microarray based analysis

Zhi

Zhang

et al. 2017

Molecular Medicine Reports

View full text Add to dashboard Cite

The aim of the present study was to investigate the molecular circuitry of osteoarthritis (OA) and identify more potential target genes for OA treatment. Microarray data of GSE32317 was downloaded from the National Center for Biotechnology Information Gene Expression Omnibus database. Differentially expressed genes (DEGs) were identified in samples of synovial membrane from patients with early stage of knee OA (OA_Early) and late stage of knee OA (OA_End) that were compared with healthy specimens. Bioinformatics analysis was applied to analyze the significant functions and pathways that were enriched by the common DEGs identified in OA_Early and OA_End samples. Furthermore, a protein‑protein interaction (PPI) network was constructed and significant modules were extracted. Transcription factors (TFs) that could regulate genes in the significant modules were identified. A total of 1,207 and 1,575 DEGs were identified in OA_Early and OA_End samples compared with healthy samples, respectively. A total of 740 genes were upregulated and 308 genes were downregulated across the OA_Early and OA_End samples. These common DEGs were enriched in different gene ontology terms and pathways, such as immune response. Angiotensinogen (AGT) and C‑X‑C motif chemokine ligand 12 (CXCL12) were identified to be hub proteins in the PPI network or in the selected module 1. In addition, the DEG lysine demethylase 2B (KDM2B) was identified as a TF that can regulate genes in the significant modules 2 and 3. In conclusion, the present study has identified AGT, CXCL12 and KDM2B as potentially essential genes associated with the pathogenesis of knee OA.

show abstract

Activation of the renin-angiotensin system introduces osteoarthritis

Abstract: In 2013, we reported that the local renin-angiotensin system (RAS) can modulate the hypertrophic differentiation of chondrocytes. Abstracts / Osteoarthritis and Cartilage 23 (2015) A82eA416 A320

Cited by 2 publications

References 0 publications

Investigation of candidate genes for osteoarthritis based on gene expression profiles

Investigation of candidate genes for osteoarthritis based on gene expression profiles

Identification of potential target genes associated with the pathogenesis of osteoarthritis using microarray based analysis

Contact Info

Product

Resources

About