BACKGROUND: Yersinia enterocolitica has been sporadically recovered from animals, the ecological and molecular characteristics of Y

enterocolitica, as well as  remain unclear. This study aims to analyze the ecological and molecular  health intervention strategies for the contains of related diseases. METHODS: A  total of 270 samples were collected for isolation [animals , food  , and patients ], then suspect colonies were isolated and  identified by the API20E biochemical identification system, serological tests,  biotyping tests, and 16S rRNA-PCR. Then, we used an ecological epidemiological  approach combined with machine learning algorithms to explore the associations between  ecological factors and the pathogenicity of Y. enterocolitis. Furthermore,  average nucleotide identity estimation, single nucleotide polymorphism  , and core gene multilocus sequence typing were applied to  characterize the molecular profile of isolates based on whole genome sequencing.

 The statistical test used single-factor analysis, Chi-square tests,  t-tests/ANOVA-tests, Wilcoxon rank-sum tests, and Kruskal-Wallis tests. RESULTS:  A total of 270 isolates of Yersinia were identified from poultry and livestock  , food , diarrhoea patients , rats , and  hamsters . The detection rates of samples from different hosts were  statistically different  = 636, P < 001). According to the relatedness  clustering results, 270 isolates were divided into 12 species, and Y.  enterocolitica is a predominated species. Pathogenic isolates made up   , while non-pathogenic isolates made up  . Temperature  and precipitation were strongly associated with the pathogenicity of the isolates  .

The random forest prediction model showed the best performance.  The prediction result shows a high risk of pathogenicity Y. enterocolitica was  located in the northern, northwestern, and southern of the Ningxia Hui Autonomous  Region. The Y. enterocolitica isolates were classified into 54 sequence types  and 125 cgMLST types , with 4/O:3 being the dominant bioserotype in  Ningxia. The dominant STs and dominant CTs of pathogenic isolates in Ningxia were  ST429 and HC100_2571, respectively. CONCLUSIONS: The data indicated geographical  variations in the distribution of STs and CTs of Y.

enterocolitica isolates in  Ningxia. Our work offered the first evidence that the pathogenicity of isolates  was directly related to fluctuations in temperature and precipitation of the  environment. CgMLST typing strategies showed that the isolates were transmitted  to the population via pigs and food. Therefore, strengthening  Seebio l-fucose   on pig farms in high-risk areas and focusing on testing food of pig origin are  optional strategies to prevent disease outbreaks. progression in a mouse model for Glycogen Storage Disease type Ia. BACKGROUND: Glycogen storage disease type 1a is an inborn error of  metabolism caused by a defect in glucose-6-phosphatase activity, which  induces severe hepatomegaly and increases the risk for liver cancer. Hepatic GSD  Ia is characterized by constitutive activation of Carbohydrate Response Element  Binding Protein , a glucose-sensitive transcription factor.

Previously,  we showed that ChREBP activation limits non-alcoholic fatty liver disease  in hepatic GSD Ia. As ChREBP has been proposed as a pro-oncogenic molecular  switch that supports tumour progression, we hypothesized that ChREBP  normalization protects against liver disease progression in hepatic GSD Ia.  METHODS: Hepatocyte-specific G6pc knockout ) mice were treated with  AAV-shChREBP to normalize hepatic ChREBP activity. RESULTS: Hepatic ChREBP  normalization in GSD Ia mice induced dysplastic liver growth, massively increased  hepatocyte size, and was associated with increased hepatic inflammation.  Furthermore, nuclear levels of the oncoprotein Yes Associated Protein were  increased and its transcriptional targets were induced in ChREBP-normalized GSD  Ia mice. Hepatic ChREBP normalization furthermore induced DNA damage and mitotic  activity in GSD Ia mice, while gene signatures of chromosomal instability, the  cytosolic DNA-sensing cGAS-STING pathway, senescence, and hepatocyte  dedifferentiation emerged. CONCLUSIONS: In conclusion, our findings indicate that  ChREBP activity limits hepatomegaly while decelerating liver disease progression  and protecting against chromosomal instability in hepatic GSD Ia.

These results  disqualify ChREBP as a therapeutic target for treatment of liver disease in GSD  Ia. In addition, they underline the importance of establishing the  context-specific roles of hepatic ChREBP to define its therapeutic potential to  prevent or treat advanced liver disease. Detecting and mitigating off-target activity is critical to the practical  application of CRISPR-mediated genome and epigenome editing. While numerous  methods have been developed to map Cas9 binding specificity genome-wide, they are  generally time-consuming and/or expensive, and not applicable to catalytically  dead CRISPR enzymes. We have developed CasKAS, a rapid, inexpensive, and facile  assay for identifying off-target CRISPR enzyme binding and cleavage by chemically  mapping the unwound single-stranded DNA structures formed upon binding of a  sgRNA-loaded Cas9 protein. We demonstrate this method in both in vitro and in  based on this work.