NOD-like Receptor Signaling Pathway Research Articles

Xinkeshu tablets promote angiogenesis in zebrafish embryos and human umbilical vein endothelial cells through multiple signaling pathways

Ethnopharmacological relevanceAngiogenesis is particularly important in ischemic cardiovascular diseases such as coronary heart disease (CHD). Xinkeshu tablets (XKS) are a commonly used Chinese patent medicine for CHD with a defined clinical effect. However, the proangiogenic effect of XKS remains unknown.Aim of the study: We attempted to investigate the chemical composition and proangiogenic effect of XKS, as well as its underlying mechanisms. Materials and methodsThe chemical composition of a XKS methanol extract was analyzed using a UPLC-Q-Orbitrap-MS system. The compound's proangiogenic effects were evaluated in zebrafish embryos and human umbilical vein endothelial cells (HUVECs). Furthermore, the underlying mechanisms were investigated using transcriptome assays and real-time quantitative PCR validation. ResultsWe identified 116 chemical constituents of XKS. XKS significantly stimulated subintestinal vessel plexus (SIVs) growth and rescued tyrosine kinase inhibitor (PTK787)-induced intersegmental vessels (ISVs) injury in zebrafish in a concentration-dependent manner. XKS significantly rescued the proliferation, migration capacity and tube formation of Recombinant VEGFR tyrosine kinase inhibitor II (VRI)-injured HUVECs. XKS promoted angiogenesis through multiple signaling pathways, including metabolic pathways, the PPAR signaling pathway, the AGE-RAGE signaling pathway, the NOD-like receptor signaling pathway, the VEGF signaling pathway, and the PI3K/Akt signaling pathway. ConclusionHerein, we identified 116 chemical constituents of XKS for the first time and demonstrated that XKS may regulate angiogenesis through multiple signaling pathways to treat CHD.

O016 Leukocyte gene expression profiles in fatty acid ethyl ester-induced acute pancreatitis

Abstract Introduction Gene expression has been poorly studied in acute pancreatitis (AP). We examined leukocyte differential gene expression (DGE) in fatty acid ethyl ester-induced AP (FAEE-AP), which models alcohol-associated AP. Methods Wild type C57Bl/7 mice were randomly divided into 5 groups of 6 receiving two hourly intraperitoneal injections of either 150 mg/kg palmitoleic acid (POA) and 1.35 g/kg ethanol (FAEE-AP), or 50 mg/kg POA and 1.35 g/kg ethanol (FAEE-AP), or 1.35 g/kg ethanol alone (contrast), or saline (control), or no injections (control). Mice were humanely killed at 12 hours for AP assessment and Agilent two-colour RNA blood microarray, with Gene Ontology (GO) and Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway analyses (DGE P <0.05, log FC >1). Results AP developed in FAEE-AP, more severe with 150 mg/kg POA, but not in either control group, with <10 DGEs between the FAEE-AP groups, and between saline and no injection groups. Comparison between combined FAEE and combined controls identified 1180 upregulated and 355 downregulated mRNAs. GO and KEGG analyses found DGEs strongly enriched in inflammatory response and NOD-like receptor signalling pathways, respectively. Comparison of ethanol alone and controls identified 307 upregulated and 82 downregulated mRNAs, enriched in mononuclear cell differentiation and cytokine-cytokine receptor interaction; 336 of 389 DGEs overlapped with FAEE-AP. Conclusion These data suggest appropriateness of either control, with little detectable difference in DGEs between FAEE-AP protocols despite differing AP severity; limited additional data were obtained using an ethanol group. Comparison with other AP models may improve understanding of disease mechanisms.

Bioinformatics analysis of synovial fluid-derived mesenchymal stem cells in the temporomandibular joint stimulated with IL-1β.

The stimulation of interleukin-1β (IL-1β) is the risk factor for temporomandibular joint osteoarthritis (TMJOA). We aim to investigate IL-1β stimulation-related gene and signal pathways in synovial fluid-derived mesenchymal stem cells (SF-MSCs) inflammatory activation to predict the occurrence of TMJOA. The microarray dataset GSE150057 was downloaded from the gene expression omnibus (GEO) database, and principal component analysis (PCA) was performed on the involved genes to obtain differential genes (DEGs). Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway were performed based on the DAVID database. The protein-protein interaction (PPI) network was constructed by the STRING database to identify hub genes. Based on the correlation between differential expression levels of lncRNAs and mRNAs, the co-expression network of lncRNA-mRNA was established. A total of 200 DEGs were obtained. Among 168 differential mRNAs, 126 were up-regulated and 42 were down-regulated; among 32 differential lncRNAs, 23 were up-regulated and 9 were down-regulated. Then, GO analysis showed that DEGs were mainly involved in signal transduction, inflammation, and apoptosis processes. KEGG pathway mainly involved the TNF signaling pathway, NF-κB signaling pathway, NOD-like receptor signaling pathway, and cytokine-cytokine-receptor interaction. Ten hub genes were recognized by PPI analysis, including CXCL8, CCL2, CXCL2, NFKBIA, CSF2, IL1A, IRF1, VCAM1, NFKB1, and TNFAIP3. In conclusion, our study has indicated the role of IL-1β stimulation in the progression of SF-MSCs inflammation and predicted DEGs and downstream pathways.

Specnuezhenide ameliorates ultraviolet-induced skin photoaging in mice by regulating the Sirtuin 3/8-Oxoguanine DNA glycosylase signal.

Ultraviolet-induced skin photoaging was involved in DNA oxidative damage. Specnuezhenide, one of the secoiridoids extracted from Ligustri Lucidi Fructus, possesses antioxidant and anti-inflammatory effects. Whether specnuezhenide ameliorates skin photoaging remains unclear. This study aimed to investigate the effect of specnuezhenide on skin photoaging induced by ultraviolet and explore the underlying mechanism. Mice were employed to treat with ultraviolet to induce skin photoaging, then administrated 10 and 20 mg/kg of specnuezhenide. Histological analysis, protein expression, network pharmacology, and autodock analysis were conducted. Specnuezhenide ameliorated ultraviolet-induced skin photoaging in mice via the increase in collagen contents, and decrease in epidermal thickness, malondialdehyde content, and β-galactosidase expression in the skin. Specnuezhenide reduced cutaneous apoptosis and inflammation in mice with skin photoaging. In addition, network pharmacology data indicated that specnuezhenide possessed potential targets on the NOD-like receptor signaling pathway. Validation experiment found that specnuezhenide inhibited the expression of NOD-like receptor family pyrin domain-containing 3, gasdermin D-C1, and Caspase 1. Furthermore, the expression of 8-Oxoguanine DNA glycosylase (OGG1), sirtuin 3 (SIRT3), and superoxide dismutase 2 was increased in specnuezhenide-treated mice with photoaging. Specnuezhenide protected against ultraviolet-induced skin photoaging in mice via a probable activation of SIRT3/OGG1 signal.

Identification of differentially expressed genes and signaling pathways in Gaoyou duck ovary at different physiological stages.

Gaoyou duck is famous in China and abroad for its good production of double-yolk eggs. However, there has been no systematic research on the egg-laying characteristics of the Gaoyou duck, which limits the development and utilization of breed resource. To identify the essential genes related to ovarian development, the transcriptome profiles of the ovaries of Gaoyou ducks at different physiological stages were analyzed. The transcriptome profiles of the ovaries of Gaoyou ducks at 150 d (before laying), 240 d (egg laying) and 500 d (nesting) were constructed, and the differentially expressed genes (DEGs) underwent GO (gene ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) analyses. The 6 randomly selected DEGs were verified by real-time fluorescent quantitative PCR that their relative expression was consistent with the transcriptional expression profile. Furthermore, KEGG analysis found that 8 candidate signaling pathways were essential for ovarian development, including the MAPK signaling pathway, Progesterone-mediated oocyte maturation, Cell adhesion molecules (CAMs), NOD-like receptor signaling pathway, ECM-receptor interaction, Focal adhesion, TGF-beta signaling path-way and Phagosome. Finally, 5 key DEGs were identified to participate in ovarian development, including TGIF1, TGFBR2, RAF1, PTK2 and FGF10. Our findings reveal the mechanisms under-lying the molecular regulation of related genes in Gaoyou duck ovarian development.

NRSN2 is a Prognostic Biomarker in Gastric Cancer and Facilitates the Growth and Migration of Gastric Cancer Cells.

Neurensin-2 (NRSN2) is reported to be associated with the progression of many tumors. This work aimed at investigating the biological function and prognostic significance of NRSN2 in gastric cancer (GC). NRSN2 expression in various cancer tissue was analyzed by the TIMER database. NRSN2 expression in GC tissue samples of different groups was analyzed by the UALCAN database. The survival analysis was performed with the Kaplan-Meier database. NRSN2 expression in GC tissues and cell lines was measured by qRT-PCR and Western blot. CCK-8, Transwell and scratch healing assays were conducted to detect the proliferative, migrative and invasive capabilities of GC cells, respectively. The LinkedOmics database and StarBase database were utilized to analyze the related genes with NRSN2 in GC. The association of NRSN2 expression with tumor immune infiltrating cells and molecular markers of immune cells was investigated with the TIMER database. NRSN2 expression was up-regulated in GC tissues, which was correlated with GC tumor grade, lymph node metastasis, and TP53 mutation. The prognosis of GC patients with high NRSN2 expression was worse than those of the patients with low NRSN2 expression. NRSN2 expression was also associated with the TNM stage, and Lauren subtype of GC patients. NRSN2 overexpression promoted the growth, migration and invasion of GC cells lines; knocking down NRSN2 worked oppositely. NRSN2 expression in GC was associated with Wnt, p53, and NOD-like receptor signaling pathways. NRSN2 expression was also significantly associated with the infiltration of CD8+ T cells, CD4+ T cells, macrophages, neutrophils, and dendritic cells in the GC microenvironment. NRSN2 expression in GC tissues is up-regulated, which correlates with a poor prognosis and immune cell infiltration of GC patients. NRSN2 facilitates the growth and aggressiveness of GC cells, implying that it may be a diagnostic biomarker and therapy target for GC.

Analysis of alternative splicing in chicken macrophages infected with avian pathogenic E. coli (APEC)

Colibacillosis is a complex disease that caused by avian pathogenic Escherichia coli (APEC), resulting in huge economic loss to the global poultry industry and threatening to human health. Alternative splicing (AS) is a universal post-transcriptional regulatory mechanism, which can simultaneously produce many proteins from a single gene to involve in various diseases and individual development. Herein, we characterized genome-wide AS events in wild type macrophages (WT) and APEC infected macrophages (APEC) by high-throughput RNA sequencing technology. A total of 751 differentially expressed (DE) AS genes were identified in the comparison of APEC vs. WT, including 587 of SE, 114 of MXE, 25 of RI, 17 of A3 and 8 of A5 event. Functional analysis showed that these identified DE AS genes were involved in ‘Endocytosis’, ‘p53 signaling pathway’, ‘MAPK signaling pathway’, ‘NOD-like receptor signaling pathway’, ‘Ubiquitin mediated proteolysis’ and ‘Focal adhesion’ immune related pathways. In summary, we comprehensively investigate AS events during APEC infection. This study has expanded our understanding of the process of APEC infection and provided new insights for further treatment options for APEC infection.

Effects of Atherogenic Factors on Endothelial Cells: Bioinformatics Analysis of Differentially Expressed Genes and Signaling Pathways.

(1) Background: Atherosclerosis is a serious medical condition associated with high morbidity and mortality rates. It develops over many years as a complex chain of events in the vascular wall involving various cells and is influenced by many factors of clinical interest. (2) Methods: In this study, we performed a bioinformatic analysis of Gene Expression Omnibus (GEO) datasets to investigate the gene ontology of differentially expressed genes (DEGs) in endothelial cells exposed to atherogenic factors such as tobacco smoking, oscillatory shear, and oxidized low-density lipoproteins (oxLDL). DEGs were identified using the limma R package, and gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment, and protein-protein interaction (PPI) network analysis were performed. (3) Results: We studied biological processes and signaling pathways involving DEGs in endothelial cells under the influence of atherogenic factors. GO enrichment analysis demonstrated that the DEGs were mainly involved in cytokine-mediated signaling pathway, innate immune response, lipid biosynthetic process, 5-lipoxygenase activity, and nitric-oxide synthase activity. KEGG pathway enrichment analysis showed that common pathways included tumor necrosis factor signaling pathway, NF-κB signaling pathway, NOD-like receptor signaling pathway, lipid and atherosclerosis, lipoprotein particle binding, and apoptosis. (4) Conclusions: Atherogenic factors such as smoking, impaired flow, and oxLDL contribute to impaired innate immune response, metabolism, and apoptosis in endothelial cells, potentially leading to the development of atherosclerosis.

Discovering the Mechanisms of Oleodaphnone as a Potential HIV Latency-Reversing Agent by Transcriptome Profiling.

Latent HIV is a key factor that makes AIDS difficult to cure. Highly effective and specific latent HIV activators can effectively activate latent HIV, and then combined with antiretroviral therapy to achieve a functional cure of AIDS. Here, four sesquiterpenes (1-4) including a new one (1), five flavonoids (5-9) including three biflavonoid structures, and two lignans (10 and 11) were obtained from the roots of Wikstroemia chamaedaphne. Their structures were elucidated through comprehensive spectroscopic analyses. The absolute configuration of 1 was determined by experimental electronic circular dichroism. NH2 cell model was used to test the activity of these 11 compounds in activating latent HIV. Oleodaphnone (2) showed the latent HIV activation effect as well as the positive drug prostratin, and the activation effect was time- and concentration-dependent. Based on transcriptome analysis, the underlying mechanism was that oleodaphnone regulated the TNF, C-type lectin receptor, NF-κB, IL-17, MAPK, NOD-like receptor, JAK-Stat, FoxO, and Toll-like receptor signaling pathways. This study provides the basis for the potential development of oleodaphnone as an effective HIV latency-reversing agent.

Alteration of m6A-Tagged RNA Profiles in Bone Originated from Periprosthetic Joint Infection.

Periprosthetic joint infection (PJI) is a devastating complication. This study aimed to unravel the veil of the N6-methyladenine (m6A) modification in PJI. Synovium, synovial fluid, sonication fluid and bone samples were collected intraoperatively from Staphylococcus aureus PJI and aseptic failure (AF) patients. The overall m6A level was detected by the m6A RNA methylation quantification kit, and the expression of m6A-related genes was quantified by real-time PCR and Western blot. Finally, an epitranscriptomic microarray and bioinformatics analysis were performed. We showed that there was a significant difference in overall m6A level between the PJI group and the AF group (PJI group had a higher overall m6A level). The expression level of METTL3 was higher in the PJI group than that in the AF group. There were 2802 differential m6A-modified mRNAs. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed that differential m6A-modified mRNAs were significantly enriched in the NOD-like receptor signaling pathway, Th17 cell differentiation and the IL-17 signaling pathway, which indicates that the m6A modification might be involved in the processes of infection and immune response, bone metabolism and programmed cell death in PJI. In summary, the present work demonstrated that m6A modification plays a role in PJI and might be a therapeutic target for developing effective treatment strategies.

Revealing immune infiltrate characteristics and potential immune-related genes in hepatic fibrosis: based on bioinformatics, transcriptomics and q-PCR experiments.

The occurrence and progression of hepatic fibrosis (HF) is accompanied by inflammatory damage. Immune genes play a pivotal role in fibrogenesis and inflammatory damage in HF by regulating immune cell infiltration. However, the immune mechanisms of HF are inadequately studied. Therefore, this research aims to identify the immune genes and biological pathway which involved in fibrosis formation and inflammatory damage in HF and explore immune target-based therapeutics for HF. The expression dataset GSE84044 of HF was downloaded from the GEO database. The crucial module genes for HF were screened according to weighted gene co-expression network analysis (WGCNA). The crucial module genes were mapped to immune-related genes obtained from the ImmPort database to obtain the hepatic fibrosis immune genes (HFIGs). In addition, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analyses were performed on HFIGs. Then, the protein-protein interaction (PPI) network was conducted on HFIGs and hub genes were identified from the PPI network. Moreover, immune infiltration analysis was performed to identified correlation between hub gene and immune cell infiltration. To verify the reliability of the GSE84044 expression profile data analysis, a rat model of CCl4-induced HF was established, followed by transcriptome sequencing and immunofluorescence analysis and quantitative reverse transcription (q-PCR) experiments were performed in HF rats and normal rat liver tissues. Finally, CMAP platform was used to explore immune target-based therapeutics for HF. In the bioinformatics analysis of GSE84044 data, 98 HFIGs were screened. These genes were mainly involved in inflammation-related biological pathways such as NOD-like receptor signaling pathway, NF-kappa B signaling pathway, Toll-like receptor signaling pathway and PI3K-Akt signaling pathway. From the PPI network, 10 hub genes were identified, including CXCL8, IL18, CXCL10, CD8A, IL7, PTPRC, CCL5, IL7R, CXCL9 and CCL2. Immune infiltration analysis showed that immune cells like neutrophils, natural killer (NK) cells, macrophages M1 and macrophages M2 were significantly correlated with the hepatic fibrosis process and hub gene expression was significantly correlated with these immune cells. Notably, most of the biological pathways HFIGs riched and all the hub gene expression except CXCL8 were validated in subsequent transcriptome and qRCR experiments. Finally, 15 small molecule compounds with the potential to reverse the high expression of hub genes were screen out as potential therapeutic agents for HF. The immune genes CXCL8, IL18, CXCL10, CD8A, IL7, PTPRC, CCL5, IL7R, CXCL9 and CCL2 may play an essential role in the fibrosis formation and inflammatory damage in HF. The outcomes of this research provide a basis for the study of the immune mechanisms of HF and contribute to the diagnosis and prevention and treatment of HF in clinical practice.

Identifying key genes related to inflammasome in severe COVID-19 patients based on a joint model with random forest and artificial neural network.

The coronavirus disease 2019 (COVID-19) has been spreading astonishingly and caused catastrophic losses worldwide. The high mortality of severe COVID-19 patients is an serious problem that needs to be solved urgently. However, the biomarkers and fundamental pathological mechanisms of severe COVID-19 are poorly understood. The aims of this study was to explore key genes related to inflammasome in severe COVID-19 and their potential molecular mechanisms using random forest and artificial neural network modeling. Differentially expressed genes (DEGs) in severe COVID-19 were screened from GSE151764 and GSE183533 via comprehensive transcriptome Meta-analysis. Protein-protein interaction (PPI) networks and functional analyses were conducted to identify molecular mechanisms related to DEGs or DEGs associated with inflammasome (IADEGs), respectively. Five the most important IADEGs in severe COVID-19 were explored using random forest. Then, we put these five IADEGs into an artificial neural network to construct a novel diagnostic model for severe COVID-19 and verified its diagnostic efficacy in GSE205099. Using combining P value < 0.05, we obtained 192 DEGs, 40 of which are IADEGs. The GO enrichment analysis results indicated that 192 DEGs were mainly involved in T cell activation, MHC protein complex and immune receptor activity. The KEGG enrichment analysis results indicated that 192 GEGs were mainly involved in Th17 cell differentiation, IL-17 signaling pathway, mTOR signaling pathway and NOD-like receptor signaling pathway. In addition, the top GO terms of 40 IADEGs were involved in T cell activation, immune response-activating signal transduction, external side of plasma membrane and phosphatase binding. The KEGG enrichment analysis results indicated that IADEGs were mainly involved in FoxO signaling pathway, Toll-like receptor, JAK-STAT signaling pathway and Apoptosis. Then, five important IADEGs (AXL, MKI67, CDKN3, BCL2 and PTGS2) for severe COVID-19 were screened by random forest analysis. By building an artificial neural network model, we found that the AUC values of 5 important IADEGs were 0.972 and 0.844 in the train group (GSE151764 and GSE183533) and test group (GSE205099), respectively. The five genes related to inflammasome, including AXL, MKI67, CDKN3, BCL2 and PTGS2, are important for severe COVID-19 patients, and these molecules are related to the activation of NLRP3 inflammasome. Furthermore, AXL, MKI67, CDKN3, BCL2 and PTGS2 as a marker combination could be used as potential markers to identify severe COVID-19 patients.

Network Pharmacology-based Strategy to Investigate Pharmacological Mechanisms of Qingbutongluo Pill for Treatment of Brucellosis.

Qingbutongluo pill (QBTLP), a Chinese herbal preparation, has been developed to treat brucellosis for many years with a good therapeutic effect. This study preliminarily explored its potential molecular mechanisms against brucellosis through network pharmacology. The active ingredients of QBTLP were screened out mainly from the Traditional Chinese medicine systems pharmacology database and analysis platform (TCMSP), and their potential targets were predicted through the PubChem database and Swiss Target Prediction platform. GeneCards, DisGeNET Digsee and the Comparative Toxicogenomics Database (CTD) searched the targets corresponding to brucellosis. Then, the Venn diagram obtained intersection targets of QBTLP and diseases. Protein-protein interaction (PPI) network analysis was performed using the Search Tool for the Retrieval of Interacting Genes database (STRING) and visualized in Cytoscape software. Module analysis of the PPI network and core target identification was performed using the Molecular Complex Detection (MCODE) and the Cytohubba plugins. The Metascape data platform was used to perform Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis on the intersection targets, and then the "active ingredientstargets- pathways" network was constructed using Cytoscape to screen key active ingredients. 19 key active ingredients were identified by network pharmacological, including Baicalein, Cryptopin, etc. The core targets of QBTLP for treating brucellosis contained TNF, TLR4, MAPK3, MAPK1, MAPK8, MAPK14, MMP9, etc. And the main pathways included the Toll-like receptor signaling pathway, NOD-like receptor signaling pathway, TNF signaling pathway, MAPK signaling pathway, Th17 cell differentiation, and IL-17 signaling pathway. This study explored the mechanisms of QBTLP for treating brucellosis, which may provide a scientific basis for the clinical application of QBTLP.

Expression Profile of Pyroptosis-Related Genes and the Associated Regulatory Axis in Primary Gout Patients.

Analyzed the expression characteristics of pyroptosis-related genes (PRGs) in peripheral blood mononuclear cells (PBMCs) of gout patients by microarray, and constructed ceRNA network to explore the molecular mechanism of RNA-mediated pyroptosis regulation. Human mRNA, lncRNA, circRNA microarray data were used to identify differentially expressed in PBMCs from patients with primary gout and healthy controls. Differential PRGs in PBMCs of gout patients identified by Genecard database and mRNA microarray data. GO and KEGG enrichment analyses of these genes were then conducted. Protein-protein interaction networks and cytoHubba were used to identify hub genes. Combining the lncRNA and circRNA microarray data, a ceRNA network was constructed by Cytoscape to screen out key non-coding RNA molecules that can regulate target PRGs. Finally, the relative expression levels of target miRNA and circRNA in 60 gout patients and 40 healthy subjects were detected by qRT-PCR. The results revealed 30 differentially expressed PRGs. GO and KEGG analysis of these genes were mainly concentrated in the production and regulation of cytokines, NOD-like receptor signaling pathway and so on. Nine hub genes were screened by PPI network, including IL1B, DDX3X, NLRP3, NLRP9, AIM2, CASP8, P2XR7, CARD8 and IFI16. The has_circRNA_102906\hsa_circRNA_102910\hsa_circRNA_102911-hsa-miR-129-5p-DDX3X\NLRP3\NLRP9 regulatory network was constructed. The expression of has_circRNA_102906, hsa_circRNA_102910, hsa_circRNA_102911 were up-regulated and hsa-miR-129-5p down-regulated in PBMCs of gout patients. The relative expression of hsa_circRNA_102911 was positively correlated with clinical inflammatory indicators associated with gout, and the area under the curve of hsa_circRNA_102911 for gout diagnosis was 0.85 (95% CI: 0.775-0.925; p < 0.001). There are several differentially expressed PRGs in PBMCs of gout patients, which are involved in the regulation of gout inflammation through multiple pathways. hsa_circRNA_102911-hsa-miR-129-5p-DDX3X\NLRP3\NLRP9 may be the key regulatory pathway for pyroptosis to regulate gout inflammation, and hsa_circRNA_102911 may be a potential biomarker for the diagnosis of primary gout.

Comprehensive analysis reveals CCDC60 as a potential biomarker correlated with prognosis and immune infiltration of head and neck squamous cell carcinoma.

Coiled-coil domain containing 60 (CCDC60) is a member of the CCDC family, which participates in the progression of many types of cancer. However, the prognostic value of CCDC60 in head and neck squamous cell carcinoma (HNSC) and its function in tumor immunity remain unclear. CCDC60 expression and its prognostic potential in HNSC were evaluated by bioinformatics approaches, which was validated in human HNSC samples. Genetic alteration analysis of CCDC60 and the underlying biological function of CCDC60 related co-expressed genes in HNSC were analyzed. The impact of CCDC60 on the regulation of immune infiltration in HNSC was comprehensively investigated. In vitro, a series of functional assays on CCDC60 were performed in HNSC cells. Our study has indicated that compared with the adjacent normal tissues, CCDC60 expression was considerably downregulated in HNSC tissues. High CCDC60 expression was connected with favorable outcome of HNSC patients, and its prognostic significance was examined by distinct clinical characteristics. We identified the CCDC60-related co-expression genes, which were mainly enriched in the NOD-like receptor signaling pathway associated with the inhibition of tumor growth, leading to a better prognosis of HNSC patients. In vitro, CCDC60 overexpression significantly inhibited the growth, migration and invasiveness but regulated cell cycle progression, and promoted cell adhesion of Fadu and Cal27 cells. Additionally, high CCDC60 expression had strong connections with the infiltrating levels of immune cells, immune marker sets, immunomodulators and chemokines in HNSC, suggesting that targeting CCDC60 could be a promising strategy to enhance the efficacy of immunotherapy for HNSC patients. Tumor suppressor CCDC60 may be identified as a prognostic and immune-related indicator in HNSC, which had the potential functions in regulating the immune infiltration of HNSC and improving the response to immunotherapy for HNSC patients.

Transcriptome-wide identification and characterization of the Macrobrachium rosenbergii microRNAs potentially related to immunity against non-O1 Vibrio cholerae infection

Non-O1 Vibrio cholerae, a member of the Vibrio family, could cause gastrointestinal infection of Macrobrachium rosenbergii and result in significant economic losses. However, few studies on microRNA immunity related to non-O1 V. cholerae infection of M. rosenbergii. The aim of this study was to elucidate the mechanism of miRNA in the potential immune response of M. rosenbergii. to non-O1 V. cholerae MSVC-GY01 infection by transcriptome sequencing. Following quality screening, the control group received 10, 616, 712 clean reads, whereas the infected group received 9,727,616. The miRNA sequences in the two samples are extremely consistent and have a length of roughly 23 nt. In all, 871 known miRNAs were discovered, with 279 differentially expressed miRNAs (DEMs). Meanwhile, 62 novel miRNAs were predicted, including 43 DEMs. In order to understand the immune-related biological functions of DEMs, target genes were predicted. Pathway function annotation analysis showed that non-O1 V. cholerae affected the NOD-like receptor signaling pathway, RIG-I-like receptor signaling pathway, and Toll-like receptor signaling pathway, suggesting that miRNAs in the hepatopancreas play a key role in immune responses to pattern recognition receptors. Twelve DEMs were randomly selected for Quantitative Real-time PCR (qRT-PCR). Overall, the expression trends of qRT-PCR were consistent with the sequencing results. These findings corroborate the immunomodulatory function of miRNA in M. rosenbergii against non-O1 V. cholerae infection and provide guidance for the prevention and treatment of related illnesses.

Based on network pharmacology and bioinformatics to analyze the mechanism of action of Astragalus membranaceus in the treatment of vitiligo and COVID-19

Coronavirus disease 2019 (COVID-19) is spreading rapidly around the world. However, the treatment of vitiligo combined with COVID-19 has not been reported. Astragalus membranaceus (AM) has a therapeutic effect on patients with vitiligo and COVID-19. This study aims to discover its possible therapeutic mechanisms and provide potential drug targets. Using the Chinese Medicine System Pharmacological Database (TCMSP), GEO database and Genecards websites and other databases, AM target, vitiligo disease target, and COVID-19 related gene set were established. Then find the crossover genes by taking the intersection. Then use GO, KEGG enrichment analysis, and PPI network to discover its underlying mechanism. Finally, by importing drugs, active ingredients, crossover genes, and enriched signal pathways into Cytoscape software, a “drug-active ingredient-target signal pathway-” network is constructed. TCMSP screened and obtained 33 active ingredients including baicalein (MOL002714), NEOBAICALEIN (MOL002934), Skullcapflavone II (MOL002927), and wogonin (MOL000173), which acted on 448 potential targets. 1166 differentially expressed genes for vitiligo were screened by GEO. CIVID-19 related genes were screened by Genecards. Then by taking the intersection, a total of 10 crossover genes (PTGS2, CDK1, STAT1, BCL2L1, SCARB1, HIF1A, NAE1, PLA2G4A, HSP90AA1, and HSP90B1) were obtained. KEGG analysis found that it was mainly enriched in signaling pathways such as IL-17 signaling pathway, Th17 cell differentiation, Necroptosis, NOD-like receptor signaling pathway. Five core targets (PTGS2, STAT1, BCL2L1, HIF1A, and HSP90AA1) were obtained by analyzing the PPI network. The network of "active ingredients-crossover genes" was constructed by Cytoscape, and the 5 main active ingredients acting on the 5 core crossover genes acacetin, wogonin, baicalein, bis2S)-2-ethylhexyl) benzene-1,2-dicarboxylate and 5,2′-Dihydroxy-6,7,8-trimethoxyflavone. The core crossover genes obtained by PPI and the core crossover genes obtained by the "active ingredient-crossover gene" network are intersected to obtain the three most important core genes (PTGS2, STAT1, HSP90AA1). AM may act on PTGS2, STAT1, HSP90AA1, etc. through active components such as acacetin, wogonin, baicalein, bis2S)-2-ethylhexyl) benzene-1,2-dicarboxylate and 5,2′-Dihydroxy-6,7,8-trimethoxyflavone to activate IL-17 signaling pathway, Th17 cell differentiation, Necroptosis, NOD-like receptor signaling pathway, Kaposi sarcoma-associated herpesvirus infection, and VEGF signaling pathway and other signaling pathways to achieve the effect of treating vitiligo and COVID-19.

Dissection of pyroptosis-related prognostic signature and CASP6-mediated regulation in pancreatic adenocarcinoma: new sights to clinical decision-making

Recent studies have indicated that pyroptosis may participate in the regulation of tumorigenesis and immune microenvironment. However, the role of pyroptosis-related genes (PRGs) in pancreatic adenocarcinoma (PAAD) remains unclear. Through multiple bioinformatics analysis, we constructed a prognostic gene model and competing endogenous RNA network. The correlation between PRGs and prognosis, immune infiltration, immune checkpoints, and tumor mutational burden was analyzed by Kaplan–Meier curve, univariate Cox, multivariate regression, and Spearman’s analysis in PAAD patients. The qRT-PCR, Western blotting, CCK-8, Wound healing, and Transwell assay were applied to examine the role of CASP6 in PANC-1 cell. Thirty-one PRGs were upregulated in PAAD. Functional enrichment analysis revealed that the PRGs were mainly involved in pyroptosis, NOD-like receptor signaling pathway, and response to bacteria. We established a novel 4-gene signature related to PRGs for evaluating the prognosis of PAAD patients. Patients with PAAD in the low-risk group had a better prognosis than those in the high-risk group. The nomogram suggested that the 1-, 3-, and 5-years survival probability exhibited robust predictive performance. Significant correlation was observed between prognostic PRGs and immune infiltration, immune checkpoints, and tumor mutational burden. We first identified the potential competing endogenous RNA regulatory axis in PAAD: lncRNA PVT1/hsa-miR-16-5p/CASP6/CASP8. Moreover, knockdown of CASP6 dramatically inhibited the proliferation, migration, and invasion ability of PANC-1 cell in vitro. In conclusion, CASP6 could be a potential biomarker, promoting the occurrence and progression in PAAD. The lncRNA PVT1/hsa-miR-16-5p/CASP6/CASP8 regulatory axis plays an vital role in regulating the anti-tumor immune responses for PAAD.

Transcriptome and molecular regulatory mechanisms analysis of gills in the black tiger shrimp Penaeus monodon under chronic low-salinity stress.

Background: Salinity is one of the main influencing factors in the culture environment and is extremely important for the survival, growth, development and reproduction of aquatic animals. Methods: In this study, a comparative transcriptome analysis (maintained for 45 days in three different salinities, 30 psu (HC group), 18 psu (MC group) and 3 psu (LC group)) was performed by high-throughput sequencing of economically cultured Penaeus monodon. P. monodon gill tissues from each treatment were collected for RNA-seq analysis to identify potential genes and pathways in response to low salinity stress. Results: A total of 64,475 unigenes were annotated in this study. There were 1,140 upregulated genes and 1,531 downregulated genes observed in the LC vs. HC group and 1,000 upregulated genes and 1,062 downregulated genes observed in the MC vs. HC group. In the LC vs. HC group, 583 DEGs significantly mapped to 37 signaling pathways, such as the NOD-like receptor signaling pathway, Toll-like receptor signaling pathway, and PI3K-Akt signaling pathway; in the MC vs. HC group, 444 DEGs significantly mapped to 28 signaling pathways, such as the MAPK signaling pathway, Hippo signaling pathway and calcium signaling pathway. These pathways were significantly associated mainly with signal transduction, immunity and metabolism. Conclusions: These results suggest that low salinity stress may affect regulatory mechanisms such as metabolism, immunity, and signal transduction in addition to osmolarity in P. monodon. The greater the difference in salinity, the more significant the difference in genes. This study provides some guidance for understanding the low-salt domestication culture of P. monodon.

Mechanism of pulmonary plague biphasic syndrome: inhibition or activation of NF-κB signaling pathway.

Background: Pneumonic plague is a fatal respiratory disease caused by Yersinia pestis. Time-course transcriptome analysis on the mechanism of pneumonic plague biphasic syndrome is lacking in the literature. Materials & methods: This study documented the disease course through bacterial load, histopathology, cytokine levels and flow cytometry. RNA-sequencing technology was used to investigate the global transcriptome profile of lung tissue in mice infected with Y. pestis. Results: Inflammation-related genes were significantly upregulated at 48h post-infection, while genes related to cell adhesion and cytoskeletal structure were downregulated. Conclusion: NOD-like receptor and TNF signaling pathways play a plausible role in pneumonic plague biphasic syndrome and lung injury by controlling the activation and inhibition of the NF-κB signaling pathway.