Knockout of SLAMF8 attenuates collagen-induced rheumatoid arthritis in mice through inhibiting TLR4/NF-κB signaling pathway

Qin, Wenyi; Xiao, Rong; Yu, Chao; Jia, Ping; Yang, Juan; Zhou, Guoqing

doi:10.1016/j.intimp.2022.108644

Cited by 17 publications

(15 citation statements)

References 34 publications

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“…SLAMF8 , a nonclassical SLAMF member, does not include signaling motifs in its short cytoplasmic tails, in contrast with normal SLAMF receptors. In the past, researchers have shown that a combined SLAMF8 deficiency suppressed the inflammatory responses via the mechanism of downregulating the expression of TLR4 on the macrophages [ 54 , 55 ]. A deletion in SLAMF8 significantly inhibited TLR4 upregulation and NF- κ B activation [ 55 ].…”

Section: Discussionmentioning

confidence: 99%

“…In the past, researchers have shown that a combined SLAMF8 deficiency suppressed the inflammatory responses via the mechanism of downregulating the expression of TLR4 on the macrophages [ 54 , 55 ]. A deletion in SLAMF8 significantly inhibited TLR4 upregulation and NF- κ B activation [ 55 ]. TMEM176A is involved in tumor development [ 56 , 57 ].…”

Section: Discussionmentioning

confidence: 99%

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Identifying Hub Genes and Immune Cell Infiltration for the Progression of Carotid Atherosclerotic Plaques in the Context of Predictive and Preventive Using Integrative Bioinformatics Approaches and Machine-Learning Strategies

Zhang

Huang

et al. 2022

Journal of Immunology Research

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Emerging evidence shows that carotid atherosclerosis is related to the activation of immune-related pathways and inflammatory cell infiltration. However, the immune-linked pathways that helped in the advancement of the carotid atherosclerotic plaque and the association of such plaques with the infiltration status of the body’s immune cells still unclear. Here, the expression profiles of the genes expressed during the progression of the carotid atherosclerotic plaques were retrieved from the Gene Expression Omnibus database and 178 differentially expressed genes were examined. The Weighted Gene Coexpression Network Analysis technique identified one of the brown modules showed the greatest correlation with carotid atherosclerotic plaques. In total, 66 intersecting genes could be detected after combining the DEGs. LASSO regression analysis was subsequently performed to obtain five hub genes as potential biomarkers for carotid atherosclerotic plaques. The functional analysis emphasized the vital roles played by the inflammation- and immune system-related pathways in this disease. The immune cell infiltration results highlighted the significant correlation among the CD4+ T cells, B cells, macrophages, and CD8+ T cells. Thereafter, the gene expression levels and the diagnostic values related to every hub gene were further validated. The above results indicated that macrophages, B cells, CD4+ T cells, and CD8 + T cells were closely related to the formation of the advanced-stage carotid atherosclerotic plaques. Based on the results, it could be hypothesized that the expression of hub genes (C3AR1, SLAMF8, TMEM176A, FERMT3, and GIMAP4) assisted in the advancement of the early-stage to advanced-stage carotid atherosclerotic plaque through immune-related signaling pathways. This may help to provide novel strategies for the treatment of carotid plaque in the context of predictive, preventive, and personalized medicine.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Identifying Hub Genes and Immune Cell Infiltration for the Progression of Carotid Atherosclerotic Plaques in the Context of Predictive and Preventive Using Integrative Bioinformatics Approaches and Machine-Learning Strategies

Zhang

Huang

et al. 2022

Journal of Immunology Research

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show abstract

“…SLAMF8, a nonclassical SLAMF member, does not include signaling motifs in its short cytoplasmic tails, in contrast with normal SLAMF receptors. In the past, researchers have shown that a combined SLAMF8 de ciency suppressed the in ammatory responses via the mechanism of downregulating the expression of TLR4 on the macrophages [50,51]. A deletion in SLAMF8 signi cantly inhibited TLR4 upregulation and NF-κB activation [51].…”

Section: Discussionmentioning

confidence: 99%

“…In the past, researchers have shown that a combined SLAMF8 de ciency suppressed the in ammatory responses via the mechanism of downregulating the expression of TLR4 on the macrophages [50,51]. A deletion in SLAMF8 signi cantly inhibited TLR4 upregulation and NF-κB activation [51]. TMEM176A is involved in tumor development [52,53].…”

Section: Discussionmentioning

confidence: 99%

Identification of hub genes and immune cell infiltration participating in the progression of carotid atherosclerotic plaques

Zhang

Huang

et al. 2022

Preprint

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Emerging evidence shows that carotid atherosclerosis is related to the activation of immune-related pathways and inflammatory cell infiltration. However, the immune-linked pathways that helped in the advancement of the carotid atherosclerotic plaque and the association of such plaques with the infiltration status of the body’s immune cells still unclear. Here, the expression profiles of the genes expressed during the progression of the carotid atherosclerotic plaques, were retrieved from the Gene Expression Omnibus database and 178 differentially expressed genes were examined. The Weighted Gene Co-expression Network Analysis technique identified one of the brown modules showed the greatest correlation with carotid atherosclerotic plaques. In total, 66 intersecting genes could be detected after combining the DEGs. LASSO regression analysis was subsequently performed to obtain five hub genes as potential biomarkers for carotid atherosclerotic plaques. The functional analysis emphasized the vital roles played by the inflammation- and immune system-related pathways in this disease. The immune cell infiltration results highlighted the significant correlation among the CD4+ T cells, B cells, macrophages, and CD8+ T cells. Thereafter, the gene expression levels and the diagnostic values related to every hub gene were further validated. The above results indicated that macrophages, B cells, CD4+ T cells, and CD8+T cells were closely related to the formation of the advanced-stage carotid atherosclerotic plaques. Based on the results, it could be hypothesized that the expression of hub genes (C3AR1, SLAMF8, TMEM176A, FERMT3, and GIMAP4) assisted in the advancement of the early-stage to advanced-stage carotid atherosclerotic plaque through immune-related signaling pathways.

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“…21 SLAM family member 8 (SLAMF8)/CD353 is a member of the CD2 family, which reduces the production of ROS and regulates the development and function of many immune cells. 22 SLAMF8 has been reported to be implicated in autoimmune inflammation, 23 gastrointestinal cancers, 24 and acute liver injuries. 25 However, there are no previous studies examining the relationship between chronic liver diseases and SLAMF8.…”

Section: Introductionmentioning

confidence: 99%

Identification and Validation of Novel Biomarkers for Hepatocellular Carcinoma, Liver Fibrosis/Cirrhosis and Chronic Hepatitis B via Transcriptome Sequencing Technology

Zhao¹,

Zhang²,

Tang³

et al. 2022

JHC

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Purpose The aim of this study was to identify and validate novel biomarkers for distinguishing among hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC), liver fibrosis/liver cirrhosis (LF/LC) and chronic hepatitis B (CHB). Patients and Methods Transcriptomic sequencing was conducted on the liver tissues of 5 patients with HCC, 5 patients with LF/LC, 5 patients with CHB, and 4 healthy controls. The expression levels of selected mRNAs and proteins were assessed by quantitative real-time polymerase chain reaction (qRT-PCR) and immunohistochemical (IHC) staining, and were verified in validation set (n=200) and testing set (n=400) via enzyme-linked immunosorbent assay (ELISA). Results A total of 9 hub mRNAs were identified by short time-series expression miner and weighted gene co-expression network analysis. Of note, the results of qRT-PCR and IHC staining demonstrated that SHC adaptor protein 1 (SHC1), SLAM family member 8 (SLAMF8), and interleukin-32 (IL-32) exhibited gradually increasing trends in the four groups. Subsequent ELISA tests on the validation cohort indicated that the plasma levels of SHC1, SLAMF8 and IL-32 also gradually increased. Furthermore, a diagnostic model APFSSI (age, PLT, ferritin, SHC1, SLAMF8 and IL-32) was established to distinguish among CHB, LF/LC and HCC. The performance of APFSSI model for discriminating CHB from healthy subjects (AUC=0.966) was much greater compared to SHC1 (AUC=0.900), SLAMF8 (AUC=0.744) and IL-32 (AUC=0.821). When distinguishing LF/LC from CHB, APFSSI was the most outstanding diagnostic parameter (AUC=0.924), which was superior to SHC1, SLAMF8 and IL-32 (AUC=0.812, 0.684 and 0.741, respectively). Likewise, APFSSI model with the greatest AUC value displayed an excellent performance for differentiating between HCC and LF/LC than other variables (SHC1, SLAMF8 and IL-32) via ROC analysis. Finally, the results in the test set were consistent with those in the validation set. Conclusion SHC1, SLAMF8 and IL-32 can differentiate among patients with HCC, LF/LC, CHB and healthy controls. More importantly, the APFSSI model greatly improves the diagnostic accuracy of HBV-associated liver diseases.

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Knockout of SLAMF8 attenuates collagen-induced rheumatoid arthritis in mice through inhibiting TLR4/NF-κB signaling pathway

Cited by 17 publications

References 34 publications

Identifying Hub Genes and Immune Cell Infiltration for the Progression of Carotid Atherosclerotic Plaques in the Context of Predictive and Preventive Using Integrative Bioinformatics Approaches and Machine-Learning Strategies

Identifying Hub Genes and Immune Cell Infiltration for the Progression of Carotid Atherosclerotic Plaques in the Context of Predictive and Preventive Using Integrative Bioinformatics Approaches and Machine-Learning Strategies

Identification of hub genes and immune cell infiltration participating in the progression of carotid atherosclerotic plaques

Identification and Validation of Novel Biomarkers for Hepatocellular Carcinoma, Liver Fibrosis/Cirrhosis and Chronic Hepatitis B via Transcriptome Sequencing Technology

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