The tremendous public health and economic impact of coronavirus disease 2019(COVID-19), caused by severe acute respiratory syndrome coronavirus 2(SARSCoV-2), has become a huge challenge globally. There is increasing e...The tremendous public health and economic impact of coronavirus disease 2019(COVID-19), caused by severe acute respiratory syndrome coronavirus 2(SARSCoV-2), has become a huge challenge globally. There is increasing evidence that SARS-CoV-2 induces intestinal infections. Type Ⅲ interferon(IFN-λ) has an antiviral role in intestinal infection, with focused, long-lasting, and non-inflammatory characteristics. This review presents a summary of the structure of SARSCoV-2, including its invasion and immune escape mechanisms. Emphasis was placed on the gastrointestinal impact of SARS-CoV-2, including changes to the intestinal microbiome, activation of immune cells, and inflammatory responses.We also describe the comprehensive functions of IFN-λ in anti-enteric SARS-CoV-2 infection, and discuss the potential application of IFN-λ as a therapeutic agent for COVID-19 with intestinal symptoms.展开更多
Purpose: Interferon-γ (INF-γ) is a cytokine that participates in the immune reaction of the body. Its level of secretion can reflect the immune response condition after the body is infected by pathogens, which is a ...Purpose: Interferon-γ (INF-γ) is a cytokine that participates in the immune reaction of the body. Its level of secretion can reflect the immune response condition after the body is infected by pathogens, which is a significant indication of clinically-related diseases. Therefore, it is of great significance in application to develop a fluorescence biosensor to inspect INF-γ with rapidness, high sensitivity and high practicability. Method: The fluorescence sensor is made on the basis of the two-dimensional nano-material namely Carbon Nitride Nanosheet (CNNS) and the Aptamer probe to identify INF-γ (Apt®INF-γ). CNNS can quickly quench the Cy5 fluorescent dye modified on the Apt®INF-γ probe due to the Photoinduced Electron Transfer (PET), but when the INF-γ exists, Apt®INF-γ specifically identifies and combines it. The complex of Apt®INF-γ and INF-γ is away from CNNS, which can effectively block the fluorescent signal of Apt?INF-γ being quenched by CNNS. Result: The sensitive detection of IFN-γ protein can be achieved through the application of CNNS/Apt®INF-γ fluorescence sensing platform. In this method, the intensity of the fluorescent signal is positively correlated with the concentration of IFN-γ, of which the liner response range is 0.5 - 100 ng/mL and the limit of detection is 0.303 ng/mL. In addition, this fluorescence sensing platform has the advantages of high specificity, simple operation and low costs. It can inspect the content of IFN-γ in clinical serum samples without interference. The actual recovery rate of serum samples is 97.11% - 106.96%. Conclusion: Therefore, the CNNS/Apt®INF-γ sensing platform is expected to be implemented in the actual clinical detection, also conducive to developing a universal fluorescence biosensor to inspect other target materials.展开更多
Background:Women are mostly affected by thyroid carcinoma(THCA),an endocrine system cancer.However,the biomarkers of interferon-gamma(IFN-γ)in THCA have not been identified,so this study aimed to investigate whether ...Background:Women are mostly affected by thyroid carcinoma(THCA),an endocrine system cancer.However,the biomarkers of interferon-gamma(IFN-γ)in THCA have not been identified,so this study aimed to investigate whether IFN-γ-related genes could predict the overall prognosis of THCA patients.Methods:Transcriptome-related expression data were obtained from The Cancer Genome Atlas database.Differential expression of IFN-γ-responsive genes(DE-IFN-γ)between THCA and normal samples was determined based on the“limma”package in R.The prognostic value of the model was determined by least absolute shrinkage and selection operator,univariate Cox,and multivariate Cox analyses,as well as Kaplan-Meier curves.A nomogram was created to predict the THCA survival probabilities by combining clinicopathological features and prognostic genetic features.High-risk and low-risk groups were examined THCA-related pathways using gene set enrichment analysis.Correlations between the two groups with different scores and the immune microenvironment and immunotherapy were also explored.Finally,we verified the expression levels using real-time PCR.Results:From 48 DE-IFN-γ,4 DE-IFN-γ(METTL7B,VAMP8,CFB,IFIT3)associated with good prognosis were selected by least absolute shrinkage and selection operator and Cox co-screening.Based on these four genes,THCA patients were divided into two groups,with the high-risk group having a poorer overall survival rate.The risk score,age,and staging were identified as independent prognostic factors.The low-scoring group had significantly enriched 13 signaling pathways,according to gene set enrichment analysis.Meanwhile,the two groups delineated according to the risk score differed in terms of the immune microenvironment and immune checkpoints.Finally,our real-time PCR results corroborated previous hypotheses.Conclusion:Researchers identified four DE-IFN-γbiomarker genes with promising prognostic value for THCA patients,which may help guide immunotherapy preference.Moreover,it may subsequently influence our THCA treatment decisions.展开更多
基金Supported by National Natural Science Foundation of China(to M.Y.),No.81970468.
文摘The tremendous public health and economic impact of coronavirus disease 2019(COVID-19), caused by severe acute respiratory syndrome coronavirus 2(SARSCoV-2), has become a huge challenge globally. There is increasing evidence that SARS-CoV-2 induces intestinal infections. Type Ⅲ interferon(IFN-λ) has an antiviral role in intestinal infection, with focused, long-lasting, and non-inflammatory characteristics. This review presents a summary of the structure of SARSCoV-2, including its invasion and immune escape mechanisms. Emphasis was placed on the gastrointestinal impact of SARS-CoV-2, including changes to the intestinal microbiome, activation of immune cells, and inflammatory responses.We also describe the comprehensive functions of IFN-λ in anti-enteric SARS-CoV-2 infection, and discuss the potential application of IFN-λ as a therapeutic agent for COVID-19 with intestinal symptoms.
文摘Purpose: Interferon-γ (INF-γ) is a cytokine that participates in the immune reaction of the body. Its level of secretion can reflect the immune response condition after the body is infected by pathogens, which is a significant indication of clinically-related diseases. Therefore, it is of great significance in application to develop a fluorescence biosensor to inspect INF-γ with rapidness, high sensitivity and high practicability. Method: The fluorescence sensor is made on the basis of the two-dimensional nano-material namely Carbon Nitride Nanosheet (CNNS) and the Aptamer probe to identify INF-γ (Apt®INF-γ). CNNS can quickly quench the Cy5 fluorescent dye modified on the Apt®INF-γ probe due to the Photoinduced Electron Transfer (PET), but when the INF-γ exists, Apt®INF-γ specifically identifies and combines it. The complex of Apt®INF-γ and INF-γ is away from CNNS, which can effectively block the fluorescent signal of Apt?INF-γ being quenched by CNNS. Result: The sensitive detection of IFN-γ protein can be achieved through the application of CNNS/Apt®INF-γ fluorescence sensing platform. In this method, the intensity of the fluorescent signal is positively correlated with the concentration of IFN-γ, of which the liner response range is 0.5 - 100 ng/mL and the limit of detection is 0.303 ng/mL. In addition, this fluorescence sensing platform has the advantages of high specificity, simple operation and low costs. It can inspect the content of IFN-γ in clinical serum samples without interference. The actual recovery rate of serum samples is 97.11% - 106.96%. Conclusion: Therefore, the CNNS/Apt®INF-γ sensing platform is expected to be implemented in the actual clinical detection, also conducive to developing a universal fluorescence biosensor to inspect other target materials.
基金supported by National Natural Science Foundation,Regional Science Foundation Project(NO.81960322,82160343)Medical Reserve Personnel Training Program of Yunnan Provincial Health Commission(NO.H-2018097)Joint Program of Applied Basic Research of Yunnan Provincial Department of Science and Technology-Kunming Medical University(NO.202101AY070001-158).
文摘Background:Women are mostly affected by thyroid carcinoma(THCA),an endocrine system cancer.However,the biomarkers of interferon-gamma(IFN-γ)in THCA have not been identified,so this study aimed to investigate whether IFN-γ-related genes could predict the overall prognosis of THCA patients.Methods:Transcriptome-related expression data were obtained from The Cancer Genome Atlas database.Differential expression of IFN-γ-responsive genes(DE-IFN-γ)between THCA and normal samples was determined based on the“limma”package in R.The prognostic value of the model was determined by least absolute shrinkage and selection operator,univariate Cox,and multivariate Cox analyses,as well as Kaplan-Meier curves.A nomogram was created to predict the THCA survival probabilities by combining clinicopathological features and prognostic genetic features.High-risk and low-risk groups were examined THCA-related pathways using gene set enrichment analysis.Correlations between the two groups with different scores and the immune microenvironment and immunotherapy were also explored.Finally,we verified the expression levels using real-time PCR.Results:From 48 DE-IFN-γ,4 DE-IFN-γ(METTL7B,VAMP8,CFB,IFIT3)associated with good prognosis were selected by least absolute shrinkage and selection operator and Cox co-screening.Based on these four genes,THCA patients were divided into two groups,with the high-risk group having a poorer overall survival rate.The risk score,age,and staging were identified as independent prognostic factors.The low-scoring group had significantly enriched 13 signaling pathways,according to gene set enrichment analysis.Meanwhile,the two groups delineated according to the risk score differed in terms of the immune microenvironment and immune checkpoints.Finally,our real-time PCR results corroborated previous hypotheses.Conclusion:Researchers identified four DE-IFN-γbiomarker genes with promising prognostic value for THCA patients,which may help guide immunotherapy preference.Moreover,it may subsequently influence our THCA treatment decisions.
