The predictive role of NF-κB-mediated pro-inflammatory cytokine expression levels in hepatitis B vaccine response

Karabay, Oğuz; Eskiler, Gamze Güney; Alkurt, Umut; Hamarat, Kaan Furkan; Özkan, Asuman Deveci; AYDIN, Ayhan

doi:10.1080/15321819.2022.2164507

Cited by 3 publications

(1 citation statement)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…NF-κB is a key regulator of IFN activation and inflammatory cytokine production [23]. To verify whether inhibitory effect of ZBP1 on SVA replication is approached via NF-κB signaling pathway, infection experiments was carried out in 3D4/21 cells with ZBP1-over Fig.…”

Section: Zbp1 Activates Nf-κb Signaling Pathway In Sva-infected Cellsmentioning

confidence: 99%

ZBP1 inhibits the replication of Senecavirus A by enhancing NF-κB signaling pathway mediated antiviral response in porcine alveolar macrophage 3D4/21 cells

Li,

Zheng,

Chen

et al. 2024

Cell Mol Biol Lett

View full text Add to dashboard Cite

Background Senecavirus A (SVA) caused porcine idiopathic vesicular disease (PIVD) showing worldwide spread with economic losses in swine industry. Although some progress has been made on host factors regulating the replication of SVA, the role of Z-DNA binding protein 1 (ZBP1) remains unclear. Methods The expression of ZBP1 in SVA-infected 3D/421 cells was analyzed by quantitative real-time PCR (qRT-PCR) and western blot. Western blot and qRT-PCR were used to detect the effects of over and interference expression of ZBP1 on SVA VP2 gene and protein. Viral growth curves were prepared to measure the viral proliferation. The effect on type I interferons (IFNs), interferon-stimulated genes (ISGs), and pro-inflammatory cytokines in SVA infection was analyzed by qRT-PCR. Western blot was used to analysis the effect of ZBP1 on NF-κB signaling pathway and inhibitor are used to confirm. Results ZBP1 is shown to inhibit the replication of SVA by enhancing NF-κB signaling pathway mediated antiviral response. SVA infection significantly up-regulated the expression of ZBP1 in 3D4/21 cells. Infection of cells with overexpression of ZBP1 showed that the replication of SVA was inhibited with the enhanced expression of IFNs (IFN-α, IFN-β), ISGs (ISG15, PKR, and IFIT1) and pro-inflammatory cytokines (IL-6, IL-8, and TNF-α), while, infected-cells with interference expression of ZBP1 showed opposite effects. Further results showed that antiviral effect of ZBP1 is achieved by activation the NF-κB signaling pathway and specific inhibitor of NF-κB also confirmed this. Conclusions ZBP1 is an important host antiviral factor in SVA infection and indicates that ZBP1 may be a novel target against SVA. Graphical Abstract

show abstract

Section: Zbp1 Activates Nf-κb Signaling Pathway In Sva-infected Cellsmentioning

confidence: 99%

ZBP1 inhibits the replication of Senecavirus A by enhancing NF-κB signaling pathway mediated antiviral response in porcine alveolar macrophage 3D4/21 cells

Li,

Zheng,

Chen

et al. 2024

Cell Mol Biol Lett

View full text Add to dashboard Cite

show abstract

Chinese medicine in the treatment of chronic hepatitis B: The mechanisms of signal pathway regulation

Zheng,

Qi,

Xue

et al. 2024

Heliyon

View full text Add to dashboard Cite

Predicting novel biomarkers for early diagnosis and dynamic severity monitoring of human ulcerative colitis

Chen,

Huang

et al. 2024

Front. Genet.

View full text Add to dashboard Cite

BackgroundUlcerative colitis is an emerging global health concern that poses a significant threat to human health and can progress to colorectal cancer if not diagnosed and treated promptly. Currently, the biomarkers used clinically for diagnosis and dynamic severity monitoring lack disease specificity.MethodsMouse models induced with 2%, 2.5%, and 3% DSS were utilized to simulate human UC with varying severities of inflammation. Transcriptome sequencing technology was employed to identify differentially expressed genes (DEGs) between the control group and each treatment group. Functional enrichment analysis of the KEGG database was performed for shared DEGs among the three treatment groups. DEGs that were significantly and strongly correlated with DSS concentrations were identified using Spearman correlation analysis. Human homologous genes of the interested DEGs were searched in the HomoloGene database, and their regulation patterns in UC patients were validated using the GSE224758 dataset. These genes were then submitted to the DisGeNET database to identify their known associations with human diseases. Online tools, including SignalP 6.0 and DeepTMHMM 1.0, were used to predict signal peptides and transmembrane helices in the amino acid sequences of human genes homologous to the DEGs of interest.ResultsA total of 1,230, 995, and 2,214 DEGs were identified in the 2%, 2.5%, and 3% DSS-induced groups, respectively, with 668 DEGs common across all three groups. These shared DEGs were primarily associated with signaling transport, pathogenesis, and immune response. Through extensive screening, LGI2 and PRSS22 were identified as potentially novel biomarkers with higher specificity and ease of detection for the early diagnosis and dynamic severity monitoring of human UC, respectively.ConclusionWe have identified two potentially novel biomarkers, LGI2 and PRSS22, which are easy of detection and more specific for human UC. These findings provide new insights into the accurate diagnosis and dynamic monitoring of this persistent disease.

show abstract

The predictive role of NF-κB-mediated pro-inflammatory cytokine expression levels in hepatitis B vaccine response

Cited by 3 publications

References 28 publications

ZBP1 inhibits the replication of Senecavirus A by enhancing NF-κB signaling pathway mediated antiviral response in porcine alveolar macrophage 3D4/21 cells

ZBP1 inhibits the replication of Senecavirus A by enhancing NF-κB signaling pathway mediated antiviral response in porcine alveolar macrophage 3D4/21 cells

Chinese medicine in the treatment of chronic hepatitis B: The mechanisms of signal pathway regulation

Predicting novel biomarkers for early diagnosis and dynamic severity monitoring of human ulcerative colitis

Contact Info

Product

Resources

About