Adaptive immune cells antagonize ILC2 homeostasis via SLAMF3 and SLAMF5

Type 2 innate lymphoid cells (ILC2s) mainly reside in tissues with few lymphoid cells. How their tissue residency is regulated remains poorly understood. This study explores the inhibitory role of SLAM-family receptors (SFRs) on adaptive immune cells in ILC2 maintenance. We observed an increase in the population of ILC2s in Rag1-deficient mice. Homotypic engagement of SFRs between ILC2s and adaptive immune cells was identified as a potential mechanism. SFR deficiency led to an increase in ILC2s. Conditional deletion of SFRs on T and/or B cells led to an increased ILC2 abundance. Mechanistically, as ILC precursors differentiate into ILC2s, SFRs, primarily SLAMF3 and SLAMF5, are inhibitory, which impair IL-7-induced PI3K activation and enhance apoptosis via SHP-1. These findings reveal a mechanism by which adaptive immune cells negatively regulate the homeostasis of ILC2s and contribute to our understanding of the complex interplay between innate and adaptive immune cells in the regulation of immune responses.

Antagonizing roles of SHP1 in the pathogenesis of Helicobacter pylori infection

BACKGROUND

SHP1 has been documented as a tumor suppressor and it was thought to play an antagonistic role in the pathogenesis of Helicobacter pylori infection. In this study, the exact mechanism of this antagonistic action was studied.

MATERIALS AND METHODS

AGS, MGC803, and GES-1 cells were infected with H. pylori, intracellular distribution changes of SHP1 were first detected by immunofluorescence. SHP1 overexpression and knockdown were then constructed in these cells to investigate its antagonistic roles in H. pylori infection. Migration and invasion of infected cells were detected by transwell assay, secretion of IL-8 was examined via ELISA, the cells with hummingbird-like alteration were determined by microexamination, and activation of JAK2/STAT3, PI3K/Akt, and ERK pathways were detected by immunoblotting. Mice infection model was established and gastric pathological changes were evaluated. Finally, the SHP1 activator sorafenib was used to analyze the attenuating effect of SHP1 activation on H. pylori pathogenesis in vitro and in vivo.

RESULTS

The sub-localization of SHP1 changed after H. pylori infection, specifically that the majority of the cytoplasmic SHP1 was transferred to the cell membrane. SHP1 inhibited H. pylori-induced activation of JAK2/STAT3 pathway, PI3K/Akt pathway, nuclear translocation of NF-κB, and then reduced EMT, migration, invasion, and IL-8 secretion. In addition, SHP1 inhibited the formation of CagA-SHP2 complex by dephosphorylating phosphorylated CagA, reduced ERK phosphorylation and the formation of CagA-dependent hummingbird-like cells. In the mice infection model, gastric pathological changes were observed and increased IL-8 secretion, indicators of cell proliferation and EMT progression were also detected. By activating SHP1 with sorafenib, a significant curative effect against H. pylori infection was obtained in vitro and in vivo.

CONCLUSIONS

SHP1 plays an antagonistic role in H. pylori pathogenesis by inhibiting JAK2/STAT3 and PI3K/Akt pathways, NF-κB nuclear translocation, and CagA phosphorylation, thereby reducing cell EMT, migration, invasion, IL-8 secretion, and hummingbird-like changes.

Tumour targetable and microenvironment-responsive nanoparticles simultaneously disrupt the PD-1/PD-L1 pathway and MAPK/ERK/JNK pathway for efficient treatment of colorectal cancer

The present study was aimed to develop a novel combination therapeutic strategy of gene therapy and immunotherapy for efficiently treatment of colorectal cancer (CRC). To achieve that goal, the polyethylene glycol-modified poly (2-(N,N-dimethylamino) ethyl methacrylate) (PEG-PDMAEMA)-based nanoparticles loaded with protein tyrosine phosphatase non-receptor type 6 (PTPN6) (NP-PTPN6) was developed first followed by conjugation with anti-PD-L1 monoclonal antibodies (aPD-L1) atezolizumab (aPD-L1NP-PTPN6). Importantly, the aPD-L1 was conjugated on the surface of NP-PTPN6 by the matrix metalloproteinases (MMPs)-cleavable linkage PLGLAG. Therefore, the aPD-L1 would be completely released once the aPD-L1NP-PTPN6 was entrapped into tumour tissues as demonstrated by the release assay. Tumour targeting assay demonstrated the aPD-L1NP-PTPN6 have high affinity to CRC cells and resulted in excellent tumour targeting drug delivery efficacy. Additionally, anti-tumour effect evaluation revealed that the aPD-L1NP-PTPN6 has greater ability to inhibit the growth, invasion and migration of CRC cells and finally led to longer survival time of tumour-bearing mice than other treatments. Further mechanisms studies demonstrated that treatment of CRC cells with aPD-L1NP-PTPN6 contributed to significant suppression of the MAPK/ERK signalling pathway. Besides, it was further demonstrated that treating CRC with aPD-L1NP-PTPN6 resulted in up-regulation of NK cells and T cells percentage within the tumour tissues.

Multilevel regulation of RUVBL2 expression predicts poor prognosis in hepatocellular carcinoma

Background

Hepatocellular carcinoma (HCC) is the second-most lethal cancer worldwide with a complex pathogenesis. RuvB-like 2 (RUVBL2) was previously found to contribute to hepatocarcinogenesis. However, its expression, regulation and clinical significance have not been systematically evaluated in a large number of clinical samples.

Methods

Here, we performed a comprehensive analysis of RUVBL2 based on multiple datasets from 371 liver cancer patients of The Cancer Genome Atlas (TCGA) and on immunohistochemical staining in 153 subjects. In addition, the aberrant signaling pathways caused by RUVBL2 overexpression were investigated.

Results

We demonstrated that promoter hypomethylation, copy number gain, MYC amplification and CTNNB1 mutation were all responsible for RUVBL2 overexpression in HCC. High levels of RUVBL2 mRNA were associated with shorter recurrence-free survival time (RFS) but not overall survival time (OS). Furthermore, RUVBL2 protein was overexpressed in the nucleus and cytoplasm of HCC samples. Univariate and multivariate survival analyses showed that strong nuclear and cytoplasmic staining of RUVBL2 independently predicted worse OS and RFS with a 2.03-fold and a 1.71-fold increase in the hazard ratio, respectively. High levels of RUVBL2 promoted carcinogenesis through the heat shock protein 90 (HSP90)-Cell Division Cycle 37 (CDC37), AKT serine/threonine kinase (AKT) and mitogen-activated protein kinase (ERK/MAPK) pathways.

Conclusion

The deregulation of RUVBL2 in HCC is influenced at the genomic, epigenetic and transcriptional levels. Our findings highlight the potential roles of RUVBL2 as a promising prognostic marker as well as a therapeutic target for HCC.

The identification of key genes in nasopharyngeal carcinoma by bioinformatics analysis of high-throughput data

Nasopharyngeal carcinoma (NPC) is a common pattern of regional malignancy in the south of China, especially in Guangdong province. The development of computerized tomography (CT) technology and the improvement of radiotherapy scheme can improve the survival rate of NPC patients. However, the prevalence and recurrence rate of NPC are increasing every year. It is urgent for us to uncover the molecular mechanism of NPC. In this study, we used scientific information retrieval from the GEO (gene expression omnibus) database to download the GSE12452, which contained 41 samples, including 31 nasopharyngeal carcinoma samples and 10 control samples. With the help of GO (gene ontology) analysis, KEGG (kyoto encyclopedia of genes and genomes) analysis, PPI (protein-protein interaction) network model construction, and WGCNA (weighted gene co-expression network analysis), we found 6896 differentially expressed genes, which affected the biological processes included cell cycle process, DNA metabolic process, DNA repairing, immune response, cell activation, regulation of immune system process, inflammatory response. The 20 hub genes present in front of us are SYK, PIK3CG, FYN, ACACB, LRRK2, RIPK4, RAC2, PIK3CD, PTPRC, LCR, RAD51, MAD2L1, CDK1, PCNA, GMPS, CCNB1, GAPDH, CCNA2, RFC4, TOP2A. In the future, these are the areas where we need to focus on the molecular mechanism of NPC.