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@#Abstract: Objective To analyze the emergency response and long-term intervention effects after the detection of infectious snails epidemic by loop-mediated isothermal amplification (LAMP) assays in Hannan District, Wuhan City, and to explore the application of LAMP in early surveillance and early-warning of schistosomiasis transmission. Methods Snails picked up by the risk monitoring system in Hannan District were examined by anatomical microscopy and LAMP technology to identify the schistosomiasis infection. Emergency response and intensive intervention were initiated in the environment where positive snails appeared, and the long-term effects were evaluated. Results In May 2018, the infectious snails were detected by LAMP technology in Hannan District, and the positive snails were located in Zhujiacha, Dongzhuang Village, Obstacles and weeds were removed and buried by machine in Zhujiacha. 12 700 m2 of snails were killed by drugs, and the mortality rate of snails was more than 80%; no new seropositive persons were found in the emergency examination within 500 m of the positive snail sites. 506 people were examined in Dong Zhuang Village at the end of the year, and 30 positive IHA cases were detected with a blood positive rate of 5.93%, no positive fecal test was found, and all positive blood test patients took preventive medication. The monitoring results of sentinel rats and wild feces were all negative. Health education was carried out, 7 warning signs were deployed and refreshed, and 500 publicity brochures were distributed. After nearly three years of intensified intervention and monitoring in the villages where the positive environment is located, and the density of snails on the stubborn snail has dropped from 0.094/frame to 0.027/frame, and the positive rate of blood test in Dongzhuang Village has steadily dropped from 5.93% to 3.74%. Conclusions The infected snails missed by microscopy were detected by LAMP in Hannan District, which created conditions for the rapid emergency treatment of environment and elimination of positive snail and improved the sensitivity of the surveillance and early warning system in transmission-interrupted areas.
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BACKGROUND: Ulcerative colitis (UC) is a complicated disease caused by the interaction between genetic and environmental factors that affects mucosal homeostasis and triggers an inappropriate immune response. Single-cell RNA sequencing (scRNA-seq) can be used to rapidly obtain the precise gene expression patterns of thousands of cells in the intestine, analyze the characteristics of cells with the same phenotype, and provide new insights into the growth and development of intestinal organs, the clonal evolution of cells, and immune cell changes. These findings can provide new ideas for the diagnosis and treatment of intestinal diseases. AIM: To identify clinical phenotypes and biomarkers that can predict the response of UC patients to specific therapeutic drugs and thus aid the diagnosis and treatment of UC. METHODS: Using the Gene Expression Omnibus (GEO) database, we analyzed peripheral blood cell subtypes of patients with UC by scRNA-seq combined with bulk RNA sequencing (RNA-seq) to reveal the core genes of UC. We then combined weighted gene correlation network analysis (WGCNA) and least absolute shrinkage and selection operator (LASSO) analysis to reveal diagnostic markers of UC. RESULTS: After processing the scRNA-seq data, we obtained data from approximately 24340 cells and identified 17 cell types. Through intercellular communication analysis, we selected monocyte marker genes as the candidate gene set for the prediction model. Construction of a WGCNA coexpression network identified RhoB, cathepsin D (CTSD) and zyxin (ZYX) as core genes. Immune infiltration analysis showed that these three core genes were strongly correlated with immune cells. Functional enrichment analysis showed that the differentially expressed genes were closely related to immune and inflammatory responses, which are associated with many challenges in the diagnosis and treatment of UC. CONCLUSION: Through scRNA-seq analysis, LASSO diagnostic model building and WGCNA, we identified RhoB, CTSD and ZYX as core genes of UC that are closely related to monocyte infiltration that may serve as diagnostic markers and molecular targets for UC therapeutic intervention.
