scholarly journals Arginine Deiminase and Biotin Metabolism Signaling Pathways Play an Important Role in Human-Derived Serotype V, ST1 Streptococcus agalactiae Virulent Strain upon Infected Tilapia

Animals ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 849
Author(s):  
Yu Liu ◽  
Liping Li ◽  
Zhiping Luo ◽  
Rui Wang ◽  
Ting Huang ◽  
...  

Our previous study showed that human-derived Streptococcus agalactiae (serotype V) could infect tilapia, but the mechanism underlying the cross-species infection remains unrecognized. In this study, a multi-omics analysis was performed on human-derived S.agalactiae strain NNA048 (virulent to tilapia, serotype V, ST1) and human-derived S.agalactiae strain NNA038 (non-virulent to tilapia, serotype V, ST1). The results showed that 907 genes (504 up/403 down) and 89 proteins (51 up/38 down) were differentially expressed (p < 0.05) between NNA038 and NNA048. Among them, 56 genes (proteins) were altered with similar trends at both mRNA and protein levels. Functional annotation of them showed that the main differences were enriched in the arginine deiminase system signaling pathway and biotin metabolism signaling pathway: gdhA, glnA, ASL, ADI, OTC, arcC, FabF, FabG, FabZ, BioB and BirA genes may have been important factors leading to the pathogenicity differences between NNA038 and NNA048. We aimed to provide a comprehensive analysis of the human-derived serotype V ST1 S.agalactiae strains, which were virulent and non-virulent to tilapia, and provide a more comprehensive understanding of the virulence mechanism.

2022 ◽  
Author(s):  
Xing Wang ◽  
Jiandi Yu ◽  
Kun peng ◽  
Huali Wen ◽  
Renjie Wang ◽  
...  

Abstract Objective: To analyze the differential genes, lncRNA, signaling pathway and patient prognosis of bladder cancer after alpha1H treatment.Methods: Sequencing data GSE172112 for patients in clinical trials with a new bladder cancer drug were downloaded from the GEO database, The bladder cancer tissues using the new drug alpha1H (alpha1-oleate) and placebo were analyzed in the R language, The differentially expressed genes were selected; Differential genes were analyzed for KEGG pathway enrichment using the DAVID database, To explore the effect of a lpha1H treatment on pathways in patients with bladder cancer; at the same time, lncRNA expression data from the Bladder Cancer (BLCA) dataset were also downloaded through the TCGA database, First, screening for differential lncRNA expression, The screening results were then analyzed by univariate Cox regression to initially screen for lncRNA associated with prognosis, The key lncRNA affecting the prognosis were further screened out, The prognostic model was also constructed using multivariate Cox regression analysis. Results: There yielded 394 significantly upregulated genes and 385 significantly downregulated genes in bladder cancer tissue after a lpha1H treatment. Through gene signaling pathway enrichment analysis, the upregulated genes were mainly enriched in the signaling pathways regulating the pluripotent line of stem cell cells, the TGF-signaling pathways, and the cell cycle. The downregulated genes were mainly enriched in the MAPK signaling pathway, phagosomes, and the TNF signaling pathway. After a lpha1H treatment, of 119 differentially expressed lncRNA, from the lnc2cancer database, two genes were found to be potentially associated with bladder cancer prognosis, and the final analysis confirmed the key lncRNA affecting prognosis. The results of survival analysis showed that high expression of LINC00152 unfavorable unfavorable patient prognosis and the new drug alpha1H reduces LINC00152 favors patient prognosis. Conclusion: Alpha1H can cure bladder cancer by regulating hallmark signaling, TGF-beta signaling, and LINC00152.


2020 ◽  
Author(s):  
Jun Zhang ◽  
Ziwei Wang ◽  
Rong Zhao ◽  
Lanfen An ◽  
Xing Zhou ◽  
...  

Abstract Background: Globally, endometrial cancer is the fourth most common malignant tumor in women and the number of women being diagnosed is increasing. Tumor progression is strongly related to the cell survival-promoting functions of autophagy. We explored the relationship between endometrial cancer prognoses and the expression of autophagy genes using human autophagy databases.Methods: The Cancer Genome Atlas was used to identify autophagy related genes (ARGs) that were differentially expressed in endometrial cancer tissue compared to healthy endometrial tissue. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes were referenced to identify important biological functions and signaling pathways related to these differentially expressed ARGs. A prognostic model for endometrial cancer was constructed using univariate and multivariate Cox, and Least Absolute Shrinkage and Selection Operator regression analysis. Endometrial cancer patients were divided into high- and low-risk groups according to risk scores. Survival and receiver operating characteristic (ROC) curves were plotted for these patients to assess the accuracy of the prognostic model. Using immunohistochemistry the protein levels of the genes associated with risk were assessed.Results: We determined 37 ARGs were differentially expressed between endometrial cancer and healthy tissues. These genes were enriched in the biological processes and signaling pathways related to autophagy. Four ARGs (CDKN2A, PTK6, ERBB2 and BIRC5) were selected to establish a prognostic model of endometrial cancer. Kaplan–Meier survival analysis suggested that high-risk groups have significantly shorter survival times than low-risk groups. The area under the ROC curve indicated that the prognostic model for survival prediction was relatively accurate. Immunohistochemistry suggested that among the four ARGs the protein levels of CDKN2A, PTK6, ERBB2, and BIRC5 were higher in endometrial cancer than healthy endometrial tissue.Conclusions: Our prognostic model assessing four ARGs (CDKN2A, PTK6, ERBB2, and BIRC5) suggested their potential as independent predictive biomarkers and therapeutic targets for endometrial cancer.


2020 ◽  
Author(s):  
Jun Zhang ◽  
Ziwei Wang ◽  
Rong Zhao ◽  
Lanfen An ◽  
Xing Zhou ◽  
...  

Abstract Background: Globally, endometrial cancer is the fourth most common malignant tumor in women and the number of women being diagnosed is increasing. Tumor progression is strongly related to the cell survival-promoting functions of autophagy. We explored the relationship between endometrial cancer prognoses and the expression of autophagy genes using human autophagy databases.Methods: The Cancer Genome Atlas was used to identify autophagy related genes (ARGs) that were differentially expressed in endometrial cancer tissue compared to healthy endometrial tissue. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes were referenced to identify important biological functions and signaling pathways related to these differentially expressed ARGs. A prognostic model for endometrial cancer was constructed using univariate and multivariate Cox, and Least Absolute Shrinkage and Selection Operator regression analysis. Endometrial cancer patients were divided into high- and low-risk groups according to risk scores. Survival and receiver operating characteristic (ROC) curves were plotted for these patients to assess the accuracy of the prognostic model. Using immunohistochemistry the protein levels of the genes associated with risk were assessed.Results: We determined 37 ARGs were differentially expressed between endometrial cancer and healthy tissues. These genes were enriched in the biological processes and signaling pathways related to autophagy. Four ARGs (CDKN2A, PTK6, ERBB2 and BIRC5) were selected to establish a prognostic model of endometrial cancer. Kaplan–Meier survival analysis suggested that high-risk groups have significantly shorter survival times than low-risk groups. The area under the ROC curve indicated that the prognostic model for survival prediction was relatively accurate. Immunohistochemistry suggested that among the four ARGs the protein levels of CDKN2A, PTK6, ERBB2, and BIRC5 were higher in endometrial cancer than healthy endometrial tissue.Conclusions: Our prognostic model assessing four ARGs (CDKN2A, PTK6, ERBB2, and BIRC5) suggested their potential as independent predictive biomarkers and therapeutic targets for endometrial cancer.


2021 ◽  
Vol 20 (1) ◽  
pp. 83-87
Author(s):  
Xiumin Yang ◽  
Chencai Qiao ◽  
Chao Zheng ◽  
Qingjun Deng

Purpose: To investigate the protective effect of ligustilide on sepsis-induced acute kidney injury (AKI) and the signaling pathways involved.Methods: Sepsis-induced AKI was established by cecal ligation and puncture (CLP) in mice. Histopathological renal damage was examined using hematoxylin and eosin (H & E) staining while creatinine and cytokines were measured using commercial kits. Protein levels were determined by Western blotting.Results: Vacuoles, dilations, degeneration, and necrosis were observed in CLP mouse kidneys, but these alterations were countered by 20 mg/kg of ligustilide. Serum creatinine, blood urea nitrogen (BUN), tumor necrosis factor (TNF)-α, interleukin (IL)-1β, and IL-6 were significantly increased in CLP mice compared with control. Furthermore, the serum levels of these indicators in serum were lowered by ligustilide (p < 0.01). The expression levels of Toll-like receptor 4 (TLR4) TLR4 and phosphorylated nuclear factor (NF)-κB in CLP mice were also downregulated by ligustilide. Malondialdehyde (MDA) and myeloperoxidase (MPO) levels increased in CLP mice, but were attenuated by ligustilide (p < 0.01). Superoxide dismutase (SOD) and glutathione (GSH) levels decreased in CLP mice but were increased by ligustilide (p < 0.01). Increased expression of Nrf2 and heme oxygenase-1 (HO-1) were observed in CLP mice, and were further enhancced by ligustilide.Conclusion: Ligustilide exerts antioxidant and anti-inflammatory effects on sepsis-induced AKI via TLR4/NF-κB and Nrf2/HO-1 signaling pathways. Keywords: Ligustilide, Sepsis, Acute kidney injury, TLR4/NF-κB signaling pathway, Nrf2/HO-1 signaling pathway


2017 ◽  
Vol 43 (3) ◽  
pp. 969-985 ◽  
Author(s):  
Weihai Liu ◽  
Jiajun Zhang ◽  
Changye Zou ◽  
Xianbiao Xie ◽  
Yongqian Wang ◽  
...  

Background/Aims: Osteosarcoma (OS) is the most common primary malignant bone tumor in children and adolescents. However, the molecular mechanisms regulating osteosarcoma tumorigenesis and progression are still poorly understood. Circular RNAs (circRNAs) have been identified as microRNA sponges and are involved in many important biological processes. This study aims to investigate the global changes in the expression pattern of circRNAs in osteosarcoma and provide a comprehensive understanding of differentially expressed circRNAs. Methods: Microarray based circRNA expression was determined in osteosarcoma cell lines and compared with hFOB1.19, which was used as the normal control. We confirmed the microarray data by real time-qPCR in both osteosarcoma cell lines and tissues. The circRNA/microRNA/mRNA interaction network was predicted using bioinformatics. Gene Ontology analysis and 4 annotation tools for pathway analysis (KEGG, Biocarta, PANTHER and Reactome) were used to predict the functions of differentially expressed circRNAs. Results: We revealed a number of differentially expressed circRNAs and 12 of them were confirmed, which suggests a potential role of circRNAs in OS. Among these differentially expressed circRNAs, hsa_circRNA_103801 was up-regulated in both osteosarcoma cell lines and tissues, while hsa_circRNA_104980 was down-regulated. The most likely potential target miRNAs for hsa_circRNA_103801 include hsa-miR-370-3p, hsa-miR-338-3p and hsa-miR-877-3p, while the most potential target miRNAs of hsa_circRNA_104980 consist of hsa-miR-1298-3p and hsa-miR-660-3p. Functional analysis found that hsa_circRNA_103801 was involved in pathways in cancer, such as the HIF-1, VEGF and angiogenesis pathway, the Rap1 signaling pathway and the PI3K-Akt signaling pathway, while hsa_circRNA_104980 was related to some pathways such as the tight junction pathway. Conclusions: This study has identified the comprehensive expression profile of circRNAs in osteosarcoma for the first time. And the ceRNA network prediction and bioinformatics functional analysis could provide a comprehensive understanding of hsa_circRNA_103801 and hsa_circRNA_104980, which may be involved in the initiation and progression of osteosarcoma. The present study indicates that circRNAs may play important roles in osteosarcoma and thus serve as biomarkers of osteosarcoma diagnosis and treatment.


2021 ◽  
Vol 11 ◽  
Author(s):  
Min Cao ◽  
Xu Yan ◽  
Baofeng Su ◽  
Ning Yang ◽  
Qiang Fu ◽  
...  

Sebastes schlegelii, an important aquaculture species, has been widely cultured in East Asian countries. With the increase in the cultivation scale, various diseases have become major threats to the industry. Evidence has shown that non-coding RNAs (ncRNAs) have remarkable functions in the interactions between pathogens and their hosts. However, little is known about the mechanisms of circular RNAs (circRNAs) and coding RNAs in the process of preventing pathogen infection in the intestine in teleosts. In this study, we aimed to uncover the global landscape of mRNAs, circRNAs, and microRNAs (miRNAs) in response to Edwardsiella tarda infection at different time points (0, 2, 6, 12, and 24 h) and to construct regulatory networks for exploring the immune regulatory mechanism in the intestine of S. schlegelii. In total, 1,794 mRNAs, 87 circRNAs, and 79 miRNAs were differentially expressed. The differentially expressed RNAs were quantitatively validated using qRT-PCR. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis showed that most of the differentially expressed mRNA genes and the target genes of ncRNAs were related to immune signaling pathways, such as the NF-κB signal pathway, pathogen recognition receptors related to signaling pathways (Toll-like receptors and Nod-like receptors), and the chemokine signaling pathway. Based on these differentially expressed genes, 624 circRNA-miRNA pairs and 2,694 miRNA-mRNA pairs were predicted using the miRanda software. Integrated analyses generated 25 circRNA-miRNA-mRNA interaction networks. In a novel_circ_0004195/novel-530/IκB interaction network, novel_530 was upregulated, while its two targets, novel_circ_0004195 and IκB, were downregulated after E. tarda infection. In addition, two circRNA-miRNA-mRNA networks related to apoptosis (novel_circ_0003210/novel_152/apoptosis-stimulating of p53 protein 1) and interleukin (novel_circ_0001907/novel_127/interleukin-1 receptor type 2) were also identified in our study. We thus speculated that the downstream NF-κB signaling pathway, p53 signaling pathway, and apoptosis pathway might play vital roles in the immune response in the intestine of S. schlegelii. This study revealed a landscape of RNAs in the intestine of S. schlegelii during E. tarda infection and provided clues for further study on the immune mechanisms and signaling networks based on the circRNA-miRNA-mRNA axis in S. schlegelii.


2021 ◽  
Author(s):  
Ting Zhong ◽  
Min Feng ◽  
Minzhi Su ◽  
Hongshan Wu ◽  
Qing Li ◽  
...  

Abstract BackgroundQihuzha granule (QHZG) is a Chinese patent medicine, composed of 11 kinds of edible medicinal plants, which is used to treat dyspepsia and anorexia in children caused by spleen and stomach deficiency syndrome. However, its role and mechanism in immunosuppression induced by cyclophosphamide remained unclear. The purpose of this study is to investigate the effect of QHZG on immunosuppression induced by cyclophosphamide in mice and its possible mechanism.MethodsThe immunosuppression injury model was induced by intraperitoneal injection of cyclophosphamide (100 mg/kg); the mRNA level of cytokines (IL-2/4/6, IFN-γ) and critical targets of signaling pathways related to immune regulation (JNK, ERK, P38, JAK2, SRC and STAT3) were tested by QPCR; related protein levels were detected by western blotting; hematoxylin-eosin (HE) staining was employed to observe the histological alterations; macrophages and neutrophils in the mouse spleen were examined by immunofluorescence analysis. ResultsQHZG significantly increased the spleen index and thymus index of mice with immunodeficiency induced by cyclophosphamide and up-regulated the mRNA expression of cytokines (IL-2/4/6, IFN-γ) and critical targets of signaling pathways related to immune regulation (JNK, ERK, P38, JAK2, SRC and STAT3), which were decreased by cyclophosphamide treatment. The results of immunofluorescence staining and histological analysis showed that QHZG could also protect mice from immunosuppressive injury caused by cyclophosphamide via keeping structural integrity of spleen, and partially restoring the production levels of macrophages and monocytes in the spleen. Further studies indicated that QHZG could significantly counter the decline of phosphorylated protein levels of JAK2/SRC-STAT3 axes (P-JAK2, P-SRC and P-STAT3), and MAPK pathways (P-JNK, P-ERK and P-P38) induced by cyclophosphamide, suggesting that the protective effects of QHZG on immunosuppressive injury triggered by cyclophosphamide were involved in JAK2/SRC-STAT3 axes, and MAPK pathways. Meanwhile, we also found that QHZG could partially restore the vital phosphorylated proteins of PI3K/Akt/mTOR signaling pathway (P-Akt, P-mTOR), which were reduced by cyclophosphamide. The data implied that PI3K signaling pathway was also responsible for the protection of QHZG against the immunosuppression induced by cyclophosphamide in mice. ConclusionsOur study demonstrated that QHZG protected mice from cyclophosphamide-triggered immunosuppressive injury via IL-6 and its downstream signaling pathways including PI3K/Akt/mTOR signal pathway and JAK2-SRC/MAPK/STAT3 axes. These results suggested that QHZG might serve as a new drug for the treatment of the immunosuppression caused by cyclophosphamide therapy.


2020 ◽  
Author(s):  
Jun Zhang ◽  
Ziwei Wang ◽  
Rong Zhao ◽  
Lanfen An ◽  
Xing Zhou ◽  
...  

Abstract Background: Globally, endometrial cancer is the fourth most common malignant tumor in women and the number of women being diagnosed is increasing. Tumor progression is strongly related to the cell survival-promoting functions of autophagy. We explored the relationship between endometrial cancer prognoses and the expression of autophagy genes using human autophagy databases.Methods: The Cancer Genome Atlas was used to identify autophagy related genes (ARGs) that were differentially expressed in endometrial cancer tissue compared to healthy endometrial tissue. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes were referenced to identify important biological functions and signaling pathways related to these differentially expressed ARGs. A prognostic model for endometrial cancer was constructed using univariate and multivariate Cox, and Least Absolute Shrinkage and Selection Operator regression analysis. Endometrial cancer patients were divided into high- and low-risk groups according to risk scores. Survival and receiver operating characteristic (ROC) curves were plotted for these patients to assess the accuracy of the prognostic model. Using immunohistochemistry the protein levels of the genes associated with risk were assessed.Results: We determined 37 ARGs were differentially expressed between endometrial cancer and healthy tissues. These genes were enriched in the biological processes and signaling pathways related to autophagy. Four ARGs (CDKN2A, PTK6, ERBB2 and BIRC5) were selected to establish a prognostic model of endometrial cancer. Kaplan–Meier survival analysis suggested that high-risk groups have significantly shorter survival times than low-risk groups. The area under the ROC curve indicated that the prognostic model for survival prediction was relatively accurate. Immunohistochemistry suggested that among the four ARGs the protein levels of CDKN2A, PTK6, ERBB2, and BIRC5 were higher in endometrial cancer than healthy endometrial tissue.Conclusions: Our prognostic model assessing four ARGs (CDKN2A, PTK6, ERBB2, and BIRC5) suggested their potential as independent predictive biomarkers and therapeutic targets for endometrial cancer.


2020 ◽  
Author(s):  
Jun Zhang ◽  
Ziwei Wang ◽  
Rong Zhao ◽  
Lanfen An ◽  
Xing Zhou ◽  
...  

Abstract Background Globally, endometrial cancer is the fourth most common malignant tumor in women and the number of women being diagnosed is increasing. Tumor progression is strongly related to the cell survival-promoting functions of autophagy. We explored the relationship between endometrial cancer prognoses and the expression of autophagy genes using human autophagy databases.Methods The Cancer Genome Atlas was used to identify autophagy related genes (ARGs) that were differentially expressed in endometrial cancer tissue compared to healthy endometrial tissue. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes were referenced to identify important biological functions and signaling pathways related to these differentially expressed ARGs. A prognostic model for endometrial cancer was constructed using univariate and multivariate Cox, and Least Absolute Shrinkage and Selection Operator regression analysis. Endometrial cancer patients were divided into high- and low-risk groups according to risk scores. Survival and receiver operating characteristic (ROC) curves were plotted for these patients to assess the accuracy of the prognostic model. Using immunohistochemistry the protein levels of the genes associated with risk were assessed.Results We determined 37 ARGs were differentially expressed between endometrial cancer and healthy tissues. These genes were enriched in the biological processes and signaling pathways related to autophagy. Four ARGs (CDKN2A, PTK6, ERBB2and BIRC5) were selected to establish a prognostic model of endometrial cancer. Kaplan–Meier survival analysis suggested that high-risk groups have significantly shorter survival times than low-risk groups. The area under the ROC curve indicated that the prognostic model for survival prediction was relatively accurate. Immunohistochemistry suggested that among the four ARGs the protein levels of CDKN2A, PTK6, ERBB2 and BIRC5 were higher in endometrial cancer than healthy endometrial tissue.Conclusions Our prognostic model assessing four ARGs (CDKN2A, PTK6, ERBB2, and BIRC5) suggested their potential as independent predictive biomarkers and therapeutic targets for endometrial cancer.


Author(s):  
Rong-Hua Song ◽  
Bin Wang ◽  
Qiu-Ming Yao ◽  
Qian Li ◽  
Xi Jia ◽  
...  

Background: The current study aimed at exploring the cytokine profile in the tears of patients with Graves’ ophthalmopathy (GO). Methods: Tears were sampled from the eyes of 7 patients with active GO and 7 healthy volunteers using filter paper. Then the levels of up to 34 cytokines in the tears of each subject were detected using high-throughput protein microarray technology in line with the introduction. Results: The results of cytokine protein microarray screening showed that 10 proteins, namely, CD40, CD40 Ligand, GITR, IL-12p70, IL-1 beta, IL-2, IL-21, IL-6, MIP-3 alpha and TRANCE, were overexpressed (with fold change >1.20) and 3 proteins, namely, GM-CSF, IL-1 sRI and IL-13 were downregulated (with fold change < 0.83) in GO patients. In addition, the protein levels of CD40 and CD40 ligand (CD40L) were significantly different between GO patients and healthy controls (P=0.028 and 0.011, respectively). Further Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses of differently expressed proteins showed that these proteins were involved in biological functions including biological processes (positive regulation of cytokine production, JAK-STAT cascade and leukocyte proliferation), molecular functions (cytokine and growth factor receptors binding and cytokine activity), and other important pathways (cytokine-cytokine receptor interaction, JAK-STAT signaling pathway, IL-17 signaling pathway, NF-kappa B signaling pathway, Th17 cell differentiation, and intestinal immune network for IgA production), all of which might be involved in the pathology of GO. Conclusion: Our cytokine protein microarray analysis indicated that several proteins were differentially expressed in GO patients, which provides potential targets for GO prevention.


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