Objective:In the realm of Class I pathogens,Burkholderia pseudomallei(BP)stands out for its propensity to induce severe pathogenicity.Investigating the intricate interactions between BP and host cells is imperative fo...Objective:In the realm of Class I pathogens,Burkholderia pseudomallei(BP)stands out for its propensity to induce severe pathogenicity.Investigating the intricate interactions between BP and host cells is imperative for comprehending the dynamics of BP infection and discerning biomarkers indicative of the host cell response process.Methods:mRNA extraction from BP-infected mouse macrophages constituted the initial step of our study.Employing gene expression arrays,the extracted RNA underwent conversion into digital signals.The percentile shift method facilitated data processing,with the identification of genes manifesting significant differences accomplished through the application of the t-test.Subsequently,a comprehensive analysis involving Gene Ontology enrichment and Kyoto Encyclopedia of Genes and Genomes pathway was conducted on the differentially expressed genes(DEGs).Leveraging the ESTIMATE algorithm,gene signatures were utilized to compute risk scores for gene expression data.Support vector machine analysis and gene enrichment scores were instrumental in establishing correlations between biomarkers and macrophages,followed by an evaluation of the predictive power of the identified biomarkers.Results:The functional and pathway associations of the DEGs predominantly centered around G protein-coupled receptors.A noteworthy positive correlation emerged between the blue module,consisting of 416 genes,and the StromaScore.FZD4,identified through support vector machine analysis among intersecting genes,indicated a robust interaction with macrophages,suggesting its potential as a robust biomarker.FZD4 exhibited commendable predictive efficacy,with BP infection inducing its expression in both macrophages and mouse lung tissue.Western blotting in macrophages confirmed a significant upregulation of FZD4 expression from 0.5 to 24 h post-infection.In mouse lung tissue,FZD4 manifested higher expression in the cytoplasm of pulmonary epithelial cells in BP-infected lungs than in the control group.Conclusion:Thesefindings underscore the upregulation of FZD4 expression by BP in both macrophages and lung tissue,pointing to its prospective role as a biomarker in the pathogenesis of BP infection.展开更多
为降低源荷两侧不确定性对综合能源系统(integrated energy system,IES)安全性与经济性的影响,以及提升IES面对不确定性的灵活、稳定运行的能力,提出多种储能参与平抑不确定性波动的策略,建立多重不确定性下日前-实时两阶段协同优化的...为降低源荷两侧不确定性对综合能源系统(integrated energy system,IES)安全性与经济性的影响,以及提升IES面对不确定性的灵活、稳定运行的能力,提出多种储能参与平抑不确定性波动的策略,建立多重不确定性下日前-实时两阶段协同优化的鲁棒模型。模型中加入鲁棒可调因子综合评估系统经济性与鲁棒性,在日前阶段,根据新能源及负荷预测功率确定预调度计划,以实现最小运行成本下的功率平衡;在实时阶段,根据新能源出力及负荷实际模拟功率确定参与二次灵活调整设备的调整功率,以最小成本实现功率再平衡。算例表明,电源侧、储能侧的实时调整能更好发挥IES应对不确定性的协同调节功能;引入鲁棒可调因子刻画不确实性,较好地均衡了系统运行的经济性和安全性。展开更多
基金The study was supported by Yuying Program Incubation Project of General Hospital of Center Theater(ZZYFH202104)Wuhan Young and Middle-Aged Medical Backbone Talent Project 2020(2020-55)Logistics Research Program Project 2019(CLB19J029).
文摘Objective:In the realm of Class I pathogens,Burkholderia pseudomallei(BP)stands out for its propensity to induce severe pathogenicity.Investigating the intricate interactions between BP and host cells is imperative for comprehending the dynamics of BP infection and discerning biomarkers indicative of the host cell response process.Methods:mRNA extraction from BP-infected mouse macrophages constituted the initial step of our study.Employing gene expression arrays,the extracted RNA underwent conversion into digital signals.The percentile shift method facilitated data processing,with the identification of genes manifesting significant differences accomplished through the application of the t-test.Subsequently,a comprehensive analysis involving Gene Ontology enrichment and Kyoto Encyclopedia of Genes and Genomes pathway was conducted on the differentially expressed genes(DEGs).Leveraging the ESTIMATE algorithm,gene signatures were utilized to compute risk scores for gene expression data.Support vector machine analysis and gene enrichment scores were instrumental in establishing correlations between biomarkers and macrophages,followed by an evaluation of the predictive power of the identified biomarkers.Results:The functional and pathway associations of the DEGs predominantly centered around G protein-coupled receptors.A noteworthy positive correlation emerged between the blue module,consisting of 416 genes,and the StromaScore.FZD4,identified through support vector machine analysis among intersecting genes,indicated a robust interaction with macrophages,suggesting its potential as a robust biomarker.FZD4 exhibited commendable predictive efficacy,with BP infection inducing its expression in both macrophages and mouse lung tissue.Western blotting in macrophages confirmed a significant upregulation of FZD4 expression from 0.5 to 24 h post-infection.In mouse lung tissue,FZD4 manifested higher expression in the cytoplasm of pulmonary epithelial cells in BP-infected lungs than in the control group.Conclusion:Thesefindings underscore the upregulation of FZD4 expression by BP in both macrophages and lung tissue,pointing to its prospective role as a biomarker in the pathogenesis of BP infection.
文摘为降低源荷两侧不确定性对综合能源系统(integrated energy system,IES)安全性与经济性的影响,以及提升IES面对不确定性的灵活、稳定运行的能力,提出多种储能参与平抑不确定性波动的策略,建立多重不确定性下日前-实时两阶段协同优化的鲁棒模型。模型中加入鲁棒可调因子综合评估系统经济性与鲁棒性,在日前阶段,根据新能源及负荷预测功率确定预调度计划,以实现最小运行成本下的功率平衡;在实时阶段,根据新能源出力及负荷实际模拟功率确定参与二次灵活调整设备的调整功率,以最小成本实现功率再平衡。算例表明,电源侧、储能侧的实时调整能更好发挥IES应对不确定性的协同调节功能;引入鲁棒可调因子刻画不确实性,较好地均衡了系统运行的经济性和安全性。
