Upregulation of chemokine CXCL10 enhances chronic pulmonary inflammation in tree shrew collagen-induced arthritis

Gao, Bo; Lin, Jie; Jiang, Zihan; Yang, Zhongshan; Yu, Hua; Ding, Lei; Yu, Min; Cui, Qinhua; Dunavin, Neil; Zhang, Ming; Li, Meizhang

doi:10.1038/s41598-018-28404-y

Cited by 23 publications

(14 citation statements)

References 46 publications

(53 reference statements)

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“…The CXCL10 and CXCL9 genes encode for chemotactic agents for T-lymphocytes and monocytes and can bind to CXCR3, which may facilitate the proliferation, angiogenic activity, and survival of human mesangial cells within a heterotrimeric G-protein signaling pathway. Gao et al showed that inhibition of CXCR3 (a CXCL10 receptor) significantly reduced chronic pulmonary inflammation by reducing inflammatory cell recruitment [32]. Studies have also reported that CXCL10 is necessary for cancer cell growth [33,34].…”

Section: Discussionmentioning

confidence: 99%

Bioinformatics Analysis and Identification of Genes and Molecular Pathways Involved in Synovial Inflammation in Rheumatoid Arthritis

Xiong

Liu

et al. 2019

Med Sci Monit

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Background Rheumatoid arthritis (RA) has a high prevalence in the elderly population. The genes and pathways in the inflamed synovium in patients with RA are poorly understood. This study aimed to identify differentially expressed genes (DEGs) linked to the progression of synovial inflammation in RA using bioinformatics analysis. Material/Methods Gene expression profiles of datasets GSE55235 and GSE55457 were acquired from the Gene Expression Omnibus (GEO) database. DEGs were identified using Morpheus software, and co-expressed DEGs were identified with Venn diagrams. Protein-protein interaction (PPI) networks were assembled with Cytoscape software and separated into subnetworks using the Molecular Complex Detection (MCODE) algorithm. The functions of the top module were assessed using the Database for Annotation, Visualization, and Integrated Discovery (DAVID). The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed. Results DEGs that were upregulated were significantly enhanced in protein binding, the cell cytosol, organization of the extracellular matrix (ECM), regulation of RNA transcription, and cell adhesion. DEGs that were downregulated were associated with control of the immune response, B-cell and T-cell receptor signaling pathway regulation. KEGG pathway analysis showed that upregulated DEGs enhanced pathways associated with the cell adherens junction, osteoclast differentiation, and hereditary cardiomyopathies. Downregulated DEGs were enriched in primary immunodeficiency, cell adhesion molecules (CAMs), cytokine-cytokine receptor interaction, and hematopoietic cell lineages. Conclusions The findings from this bioinformatics network analysis study identified molecular mechanisms and the key hub genes that may contribute to synovial inflammation in patients with RA.

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Section: Discussionmentioning

confidence: 99%

Bioinformatics Analysis and Identification of Genes and Molecular Pathways Involved in Synovial Inflammation in Rheumatoid Arthritis

Xiong

Liu

et al. 2019

Med Sci Monit

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“…no. ab123104; monoclonal; raised in rabbit; 1:40 dilution; Abcam) was performed as previously described (13).…”

Section: Methodsmentioning

confidence: 99%

COL12A1, a novel potential prognostic factor and therapeutic target in gastric cancer

Jiang

et al. 2019

Mol Med Report

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Dysregulation of collagen type XII α1 chain (COL12A1) has been found in several cancer types and could be involved in tumor progression. However, its clinical significance in gastric cancer (GC) remains under exploration. Online databases (Gene Expression Omnibus and UALCAN), reverse transcription-quantitative PCR and immunohistochemistry were utilized in the present study to evaluate the expression of COL12A1 in GC tissues and cell lines. It was found that COL12A1 expression was notably upregulated in GC. Clinicopathological analysis showed that elevated COL12A1 expression was positively correlated with tumor invasiveness, metastasis and advanced clinical stage. The prognostic analysis suggested that high COL12A1 expression contributed to poor overall survival. Multivariate Cox analysis indicated that COL12A1 overexpression was a powerful independent prognostic indicator in patients with GC (hazard ratio, 1.896; 95% CI, 1.267–2.837; P=0.002). The results highlighted the importance of COL12A1 in GC and suggested its potential role as a candidate for clinical outcome prediction and targeted therapy in patients with GC.

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“…Hub genes CXCL10 in module 2 and EHHADH in module 6 were shown to be respectively regulated by hsa-miR-411-3p and hsa-miR-487a, being involved in inflammatory and amino acid metabolism pathways for HASC differentiation. As reported for LEP above, inflammation promotes the adipocyte differentiation of HASCs, whereas CXCL10 is a well-known pro-inflammatory chemokine (47). Therefore, CXCL10 may be upregulated in adipocyte differentiated HASCs, which was confirmed in the present study.…”

Section: Discussionmentioning

confidence: 81%

An lncRNA‑miRNA‑mRNA ceRNA network for adipocyte differentiation from human adipose‑derived stem cells

Guo

Cao

2019

Mol Med Report

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Human adipose tissue-derived stromal stem cells (HASCs) represent a promising regenerative resource for breast reconstruction and augmentation. However, the mechanisms involved in inducing its adipogenic differentiation remain to be fully elucidated. The present study aimed to comprehensively investigate the expression changes in mRNAs, microRNAs (miRNAs) and long non-coding (lnc)RNAs during the adipogenic differentiation of HASCs, and screen crucial lncRNA-miRNA-mRNA interaction axes using microarray datasets GSE57593, GSE25715 and GSE61302 collected from the Gene Expression Omnibus database. Following pretreatment, differentially expressed genes (DEGs), miRNAs (DE-miRNAs) or lncRNAs (DE-lncRNAs) between undifferentiated and differentiated HASCs were identified using the Linear Models for Microarray data method. A protein-protein interaction (PPI) network was constructed for the DEGs based on protein databases, followed by module analysis. The ‘lncRNA-miRNA-mRNA’ competing endogenous RNA (ceRNA) network was constructed based on the interactions between miRNAs and mRNAs, lncRNAs and miRNAs predicted by the miRWalk and lnCeDB databases. The underlying functions of mRNAs were predicted using the clusterProfiler package. In the present study, 905 DEGs, 36 DE-miRNAs and 577 DE-lncRNAs were screened between undifferentiated HASCs and differentiated adipocyte cells. PPI network analysis demonstrated that LEP may be a hub gene, which was also enriched in significant module 5. LEP was predicted to be involved in the Janus kinase-signal transducer and activator of transcription signaling pathway, and the regulation of inflammatory response. The upregulation of LEP was regulated by downregulated hsa-miRNA (miR)-130b-5p and hsa-miR-23a-5p (or hsa-miR-302d-3p). These miRNAs also respectively interacted with RP11-552F3.9 (or RP11-15A1.7), ultimately forming the ceRNA axes. In conclusion, the present study revealed that the RP11-552F3.9 (RP11-15A1.7)-hsa-miR-130b-5p/hsa-miR-23a-5p (hsa-miR-302d-3p)-LEP interaction axes may be crucial for inducing the adipogenic differentiation of HASCs via involvement in inflammation.

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Upregulation of chemokine CXCL10 enhances chronic pulmonary inflammation in tree shrew collagen-induced arthritis

Cited by 23 publications

References 46 publications

Bioinformatics Analysis and Identification of Genes and Molecular Pathways Involved in Synovial Inflammation in Rheumatoid Arthritis

Bioinformatics Analysis and Identification of Genes and Molecular Pathways Involved in Synovial Inflammation in Rheumatoid Arthritis

COL12A1, a novel potential prognostic factor and therapeutic target in gastric cancer

An lncRNA‑miRNA‑mRNA ceRNA network for adipocyte differentiation from human adipose‑derived stem cells

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