TRAF3IP3 at the trans-Golgi network regulates NKT2 maturation via the MEK/ERK signaling pathway

TRAF3IP3 Blocks Mitophagy to Exacerbate Myocardial Injury Induced by Ischemia-Reperfusion

To uncover the possible role of TRAF3IP3 in the progression of myocardial infarction (MI), clarify its role in mitophagy and mitochondrial function, and explore the underlying mechanism. GEO chip analysis, RT-qPCR, and LDH release assay were used to detect the expression of TRAF3IP3 in tissues and cells and its effects on cell damage. Immunostaining and ATP product assays were performed to examine the effects of TRAF3IP3 on mitochondrial function. Co-IP, CHX assays, Immunoblot and Immunostaining assays were conducted to determine the effects of TRAF3IP3 on mitophagy. TRAF3IP3 was highly expressed in IR rats and HR-induced H9C2 cells. TRAF3IP3 knockdown can alleviate H/R-induced H9C2 cell damage. In addition, TRAF3IP3 knockdown can induce mitophagy, thus enhancing mitochondrial function. We further revealed that TRAF3IP3 can promote the degradation of NEDD4 protein. Moreover, TRAF3IP3 knockdown suppressed myocardial injury in I/R rats. TRAF3IP3 blocks mitophagy to exacerbate myocardial injury induced by I/R via mediating NEDD4 expression.

Machine-learning prediction of a novel diagnostic model using mitochondria-related genes for patients with bladder cancer

Bladder cancer (BC) is the ninth most-common cancer worldwide and it is associated with high morbidity and mortality. Mitochondrial Dysfunction is involved in the progression of BC. This study aimed to developed a novel diagnostic model based on mitochondria-related genes (MRGs) for BC patients using Machine Learning. In this study, we analyzed GSE13507 datasets and identified 752 DE-MRGs in BC specimens. Functional enrichment analysis uncovered the significant roles of 752 DE-MRGs in key processes such as cellular and organ development, as well as gene regulation. The analysis revealed the crucial functions of these genes in transcriptional regulation and protein-DNA interactions. Then, we performed LASSO and SVM-RFE, and identified four critical diagnostic genes including GLRX2, NMT1, OXSM and TRAF3IP3. Based on the above four genes, we developed a novel diagnostic model whose diagnostic value was confirmed in GSE13507, GSE3167 and GSE37816 datasets. Moreover, we reported the expressing pattern of GLRX2, NMT1, OXSM and TRAF3IP3 in BC samples. Immune cell infiltration analysis revealed that the four genes were associated with several immune cells. Finally, we performed RT-PCR and confirmed NMT1 was highly expressed in BC cells. Functional experiments revealed that knockdown of NMT1 suppressed the proliferation of BC cells. Overall, we have formulated a diagnostic potential that offered a comprehensive framework for delving into the underlying mechanisms of BC. Before proceeding with clinical implementation, it is essential to undertake further investigative efforts to validate its diagnostic effectiveness in BC patients.

Impaired thymic iNKT cell differentiation at early precursor stage in murine haploidentical bone marrow transplantation with GvHD

Introduction

Early recovery of donor-derived invariant natural killer T (iNKT) cells are associated with reduced risk of graft-versus-host disease (GvHD) and overall survival. Patients with severe GvHD, however, had much slower iNKT cell reconstitution relative to conventional T cells.

Methods

To characterize the delay of iNKT cell reconstitution and explore its possible causes, we used a haploidentical bone marrow transplantation (haplo-BMT) mouse model with GvHD. We found the delayed recovery of thymic and peripheral iNKT cell numbers with markedly decreased thymic NKT1 subset in GvHD mice. The defective generation of thymic iNKT precursors with egress capability contributed to the reduced peripheral iNKT cells in GvHD mice. We further identified intermediate NK1.1- NKT1 precursor subpopulations under steady-state conditions and found that the differentiation of these subpopulations was impaired in the thymi of GvHD mice. Detailed characterization of iNKT precursors and thymic microenvironment showed a close association of elevated TCR/co-stimulatory signaling provided by double positive thymocytes and macrophages with defective down-regulation of proliferation, metabolism, and NKT2 signature in iNKT precursor cells. Correspondingly, NKT2 but not NKT1 differentiation was favored in GvHD mice.

Discussion

These data underline the important roles of TCR and co-stimulatory signaling in the differentiation of thymic iNKT subsets under transplantation conditions.

Progranulin regulates the development and function of NKT2 cells through EZH2 and PLZF

T helper 2 (Th2) cytokine production by invariant natural killer T (iNKT) cells is involved in the development of asthma, but the regulation of Th2 cytokines in iNKT cells remains unknown. Although it is known that progranulin (PGRN) induces the production of Th2 cytokines in iNKT cells in vivo, the underlying mechanism is not clear. This study aims to investigate the role of PGRN in iNKT cells. The effects of PGRN on the differentiation of iNKT cells was detected by flow cytometry. Then stimulation of iNKT cells and airway resistance were carried out to evaluate the function of PGRN on iNKT cells. Furthermore, the mechanisms of PGRN in regulating iNKT cells was investigated by RT-PCR, WB, confocal and luciferase reporter assays. The absolute number of iNKT cells decreased in PGRN KO mice despite an increase in the percentage of iNKT cells. Furthermore, analyzing the subsets of iNKT cells, we found that NKT2 cells and their IL-4 production were reduced. Mechanistically, the decrease in NKT2 cells in the PGRN KO mice was caused by increased expression of enhancer of zeste homolog 2 (EZH2), that in turn caused increased degradation and altered nuclear localization of PLZF. Interestingly, PGRN signaling decreased expression of EZH2 and treatment of the PGRN KO mice with the EZH2 specific inhibitor GSK343 rescued the defect in NKT2 differentiation, IL-4 generation, and PLZF expression. Altogether, We have revealed a new pathway (PGRN-EZH2-PLZF), which regulates the Th2 responses of iNKT cells and provides a potentially new target for asthma treatment.

TRAF3IP3 Is Cleaved by EV71 3C Protease and Exhibits Antiviral Activity

Enterovirus 71 (EV71) is one of the major pathogens of hand, foot, and mouth disease, which poses a major risk to public health and infant safety. 3C protease (3C^pro), a non-structural protein of EV71, promotes viral protein maturation by cleaving polyprotein precursors and facilitates viral immune escape by cleaving host proteins. In this study, we screened for human proteins that could interact with EV71 3C^pro using a yeast two-hybrid assay. Immune-associated protein TRAF3 Interacting Protein 3 (TRAF3IP3) was selected for further study. The results of co-immunoprecipitation and immunofluorescence demonstrated the interaction between TRAF3IP3 and EV71 3C^pro. A cleavage band was detected, indicating that both transfected 3C^pro and EV71 infection could cleave TRAF3IP3. 87Q-88G was identified as the only 3C^pro cleavage site in TRAF3IP3. In Jurkat and rhabdomyosarcoma (RD) cells, TRAF3IP3 inhibited EV71 replication, and 3C^pro cleavage partially resisted TRAF3IP3-induced inhibition. Additionally, the nuclear localization signal (NLS) and nuclear export signal (NES) of TRAF3IP3 were identified. The NES contributed to TRAF3IP3 alteration of 3C^pro localization and inhibition of EV71 replication. Together, these results indicate that TRAF3IP3 inhibits EV71 replication and 3C^pro resists such inhibition via proteolytic cleavage, providing a new example of virus-host interaction.

High TRAF3IP3 Level Predicts Poor Prognosis of Patients with Gliomas

BACKGROUND

Tumor necrosis factor receptor-related factor 3 (TRAF3) interacting protein 3 (TRAF3IP3) is involved in the development of immune tissues and the immune response of the body. Downregulated expression of TRAF3IP3 in malignant melanoma can inhibit tumor growth. The role of TRAF3IP3 in glioma is unknown.

METHODS

We used the Wilcoxon rank sum test to compare the expression of TRAF3IP3 in glioma and normal tissues based on The Cancer Genome Atlas and Genotype Tissue Expression. Logistics regression was used to evaluate the relationship between TRAF3IP3 and clinicopathologic characters. Gene set enrichment analysis and single-sample gene set enrichment analysis were conducted to annotate biological function of TRAF3IP3. We used Kaplan-Meier and Cox regression to evaluate the prognostic value of TRAF3IP3.

RESULTS

We downloaded RNA-seq data of 670 gliomas and 1157 normal tissues. TRAF3IP3 was highly expressed in gliomas (P < 0.001). High expression of TRAF3IP3 and higher World Health Organization grade (odds ratio [OR], 3.57 [2.42-5.34 CI]; P < 0.001), wild-type isocitrate dehydrogenase status (OR, 4.79 [3.40-6.83 CI]; P < 0.001), 1p/19q non-codeletion (OR, 15.32 [9.23-27.01 CI]; P < 0.001), mutant epidermal growth factor receptor status (OR, 2.77 [1.65-4.81 CI]; P < 0.001), worse histologic type (OR, 3.64 [2.48-5.43 CI]; P < 0.001) and worse primary therapy outcome (OR, 2.29 [1.47-3.61 CI]; P < 0.001) were significantly correlated. Six signaling pathways were significantly enriched in the TRAF3IP3 high-expression phenotype group, including JAK-STAT, interferon-γ, apoptosis, P53, programmed cell death protein 1, and CTLA-4 (cytotoxic T-lymphocyte-associated protein 4). High expression of TRAF3IP3 was associated with worse progression-free survival (hazard ratio [HR], 2.39 (1.39-3.01); P < 0.001), disease-free survival (HR, 3.02 (2.27-4.01); P < 0.001) and overall survival (HR, 2.87 (2.20-3.75); P < 0.001).

CONCLUSIONS

TRAF3IP3 play an important role in the occurrence and development of glioma and may be a potential biomarker for the prognosis of glioma.

Recent advances in iNKT cell development

Recent studies suggest that murine invariant natural killer T (iNKT) cell development culminates in three terminally differentiated iNKT cell subsets denoted as NKT1, 2, and 17 cells. Although these studies corroborate the significance of the subset division model, less is known about the factors driving subset commitment in iNKT cell progenitors. In this review, we discuss the latest findings in iNKT cell development, focusing in particular on how T-cell receptor signal strength steers iNKT cell progenitors toward specific subsets and how early progenitor cells can be identified. In addition, we will discuss the essential factors for their sustenance and functionality. A picture is emerging wherein the majority of thymic iNKT cells are mature effector cells retained in the organ rather than developing precursors.