Objective:To explore the therapeutic effect of compound Kuijie Ankang Decoction on ulcerative colitis (UC) model mice by non targeted metabonomics; To explore its mechanism.Compound Kuijie Ankang.Methods:The mice were randomly divided into blank control group, model group, Kuijie Ankang Decoction group and sulfasalazine group, with 12 mice in each group. Except the blank control group, the other groups were given 1.5% DSS solution for free drinking to prepare UC model. After successful modeling, Kuijie Ankang Decoction group was intragastrically administered with compound Kuijie Ankang Decoction of 9.68 g/kg, sulfasalazine group was intragastrically administered with sulfasalazine capsule suspension of 320 mg/kg, model group and blank control group were intragastrically administered with equal volume of purified water, once a day, for 7 consecutive days. The body mass and disease activity index (DAI) score of mice were measured. ELISA was used to measure the levels of tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), interleukin-6 (IL-6), and interleukin-10 (IL-10) in the colon tissue of mice; the protein expressions of Claudin-1 and Zo-1 in colon tissue were detected by immunofluorescence method. HE staining was used to observe the pathological changes in the colon, and UHPLC-OE-MS technology was used to analyze the endogenous metabolite structure of mouse colon tissue, differential metabolites and related metabolic pathways were screened.Results:Compared with the model group, the colon length in Kuijie Ankang Decoction group and sulfasalazine group increased ( P<0.01), the DAI score decreased ( P<0.01), the levels of TNF-α, IL-1β and IL-6 in colon tissue decreased ( P<0.01), the level of IL-10 increased ( P<0.01), and the average optical density of Claudin-1 and Zo-1 protein increased ( P<0.01 or P<0.05). Metabolomics analysis identified 26 potential differential metabolites, including nicotinamide adenine dinucleotide, guanine, gamma aminobutyric acid, and thiamine, affecting 26 key metabolic pathways, including lysine biosynthesis, thiamine metabolism, cysteine and methionine metabolism. Conclusion:Kuaijie Ankang Decoction may improve metabolites such as Gamma aminobutyric acid and thiamine through metabolic pathways such as lysine biosynthesis to alleviate inflammatory reactions, thereby exerting therapeutic effects on ulcerative colitis in mice.

Objective To evaluate the effect of bundle intervention on reducing catheter-associated urinary tract in-fection(CAUTI).Methods Hospitalized patients with urinary catheterization in a tertiary first-class hospital were subjected to targeted monitoring of a baseline survey from January to December 2022(pre-intervention).The main causes were found out,and bundle intervention measures were developed and implemented through plan-do-check-act(PDCA)tools from January to March 2023(intervention period).The data from April to December 2023(post-intervention)were collected,difference in catheter use rate and incidence of CAUTI before and after intervention were compared.Results The implementation rate of correctly hanging urine collection bags after intervention was 97.00％,the implementation rate of timely emptying urine collection bags was 91.72％,awareness rate of hand hy-giene among patient's family members was 79.13％,implementation rate of urinary catheter clamping during trans-portation was 74.79％,and daily evaluation implementation rate was 87.68％,which were higher than the pre-in-tervention rates of 85.63％,80.47％,62.75％,60.00％,and 79.93％,respectively.The incidence of CAUTI de-creased from 1.23‰ before intervention to 0.57‰ after intervention,the use rate of urinary catheter decreased from 5.53％before intervention to 5.37％after intervention.Differences of the above indicators were all statistically sig-nificant(all P＜0.05).Conclusion Through targeted monitoring on CAUTI and PDCA quality tools,the weak links in healthcare-associated infection control are identified,more targeted prevention and control measures are for-mulated,the implementation of bundle intervention measures can reduce the incidence of CAUTI.

Objective:To explore risk factors for delayed onset of lactogenesis in prenatally overweight women and construct risk prediction models based on machine learning for early identification of high-risk individuals.Methods:Convenience sampling was adopted to select 338 prenatally overweight women who delivered in the Obstetrics Departments of four ClassⅢ Grade A hospitals in Hengyang City from October 2023 to June 2024 for the study. Delivery women were randomly divided into training set and test set in the ratio of 7∶3. The survey was conducted with the General Information Questionnaire, Breastfeeding Self-efficacy Scale Short Form, Edinburgh Postnatal Depression Scale, LATCH Scale and Pittsburgh Sleep Quality Index. One-way analysis and LASSO regression were used to screen predictors using delayed onset of lactogenesis as the outcome variable. Risk prediction models were constructed based on three machine learning algorithms of Logistic regression, support vector, and random forest, respectively. The models were tuned by ten-fold cross-validation to filter out the best models.Results:Delayed onset of lactogenesis occurred in 140 of 338 prenatally overweight women, an incidence of 41.4%. Among the three predictive model performances, the random forest model had the highest area under the receiver operating characteristic curve, accuracy, precision, recall, and F1 value. The importance of each predictor was ranked according to the fandom forest algorithm, and in descending order of importance, they were breastfeeding 1 h after the birth of the newborn, number of previous deliveries, age, feeding mode 3 d postpartum, pregnancy complications, mode of delivery, number of breastfeeding 24 h postpartum, and monthly household income.Conclusions:Risk prediction models for delayed onset of lactogenesis in prenatally overweight women are constructed based on three machine learning algorithms, aiming to help provide a scientific basis for clinical healthcare professionals to take relevant decisions.

Objective To evaluate the effect of bundle intervention on reducing catheter-associated urinary tract in-fection(CAUTI).Methods Hospitalized patients with urinary catheterization in a tertiary first-class hospital were subjected to targeted monitoring of a baseline survey from January to December 2022(pre-intervention).The main causes were found out,and bundle intervention measures were developed and implemented through plan-do-check-act(PDCA)tools from January to March 2023(intervention period).The data from April to December 2023(post-intervention)were collected,difference in catheter use rate and incidence of CAUTI before and after intervention were compared.Results The implementation rate of correctly hanging urine collection bags after intervention was 97.00％,the implementation rate of timely emptying urine collection bags was 91.72％,awareness rate of hand hy-giene among patient's family members was 79.13％,implementation rate of urinary catheter clamping during trans-portation was 74.79％,and daily evaluation implementation rate was 87.68％,which were higher than the pre-in-tervention rates of 85.63％,80.47％,62.75％,60.00％,and 79.93％,respectively.The incidence of CAUTI de-creased from 1.23‰ before intervention to 0.57‰ after intervention,the use rate of urinary catheter decreased from 5.53％before intervention to 5.37％after intervention.Differences of the above indicators were all statistically sig-nificant(all P＜0.05).Conclusion Through targeted monitoring on CAUTI and PDCA quality tools,the weak links in healthcare-associated infection control are identified,more targeted prevention and control measures are for-mulated,the implementation of bundle intervention measures can reduce the incidence of CAUTI.

Objective:To explore risk factors for delayed onset of lactogenesis in prenatally overweight women and construct risk prediction models based on machine learning for early identification of high-risk individuals.Methods:Convenience sampling was adopted to select 338 prenatally overweight women who delivered in the Obstetrics Departments of four ClassⅢ Grade A hospitals in Hengyang City from October 2023 to June 2024 for the study. Delivery women were randomly divided into training set and test set in the ratio of 7∶3. The survey was conducted with the General Information Questionnaire, Breastfeeding Self-efficacy Scale Short Form, Edinburgh Postnatal Depression Scale, LATCH Scale and Pittsburgh Sleep Quality Index. One-way analysis and LASSO regression were used to screen predictors using delayed onset of lactogenesis as the outcome variable. Risk prediction models were constructed based on three machine learning algorithms of Logistic regression, support vector, and random forest, respectively. The models were tuned by ten-fold cross-validation to filter out the best models.Results:Delayed onset of lactogenesis occurred in 140 of 338 prenatally overweight women, an incidence of 41.4%. Among the three predictive model performances, the random forest model had the highest area under the receiver operating characteristic curve, accuracy, precision, recall, and F1 value. The importance of each predictor was ranked according to the fandom forest algorithm, and in descending order of importance, they were breastfeeding 1 h after the birth of the newborn, number of previous deliveries, age, feeding mode 3 d postpartum, pregnancy complications, mode of delivery, number of breastfeeding 24 h postpartum, and monthly household income.Conclusions:Risk prediction models for delayed onset of lactogenesis in prenatally overweight women are constructed based on three machine learning algorithms, aiming to help provide a scientific basis for clinical healthcare professionals to take relevant decisions.

Objective To knockout Rag2 and IL2rg genes and construct severe combined immunodeficiency mice based on CRISPR/Cas9 technology. Method Design and synthesis of 25 bp sgRNA were made according to the Rag2 and IL2rg sequences in Genbank. After annealing, sgRNA was cloned into pX330 vector. Recombination plasmid Rag2?sgRNA, IL2rg?sgRN and Cas9 were then transcribed into RNA, these RNA were microinjected into zygotes and the zygotes were transplanted into recipient ICR mice. F0 founders were born and mutated F0 founders mated with wild type mice to obtain F1 generation heterozygous mice. Mutated F1 mice were crossed and got F2 generation homozygous mice. Genotype and phenotype of the knockout mice were identified by sequencing, flow cytometry and xenograft model. Results Rag2?sgRNA and IL2rg?sgRNA recombination plasmids were constructed and transcribed into RNA. After microinjection and mat? ing, F0 founders were born and F2 homozygous mice were obtained. The results of sequencing showed that there were two types of genotype in IL2rg gene, 10 bp or 11 bp deletion;however, there was only one genotype in Rag2 gene, which was 8 bp deletion. Compared with wild?type BALB/c mice, the number of CD3 +, B220 + and NKp46 + cells in peripheral blood of the knockout mice was reduced significantly. After inoculation of human breast cancer cell line SKBR?2HL cells, tumor size in the xenograft mouse model was increased gradually along with time extension. Conclusion CRISPR/Cas9 is an efficient way to mutate Rag2 and IL2rg gene in mice in vivo, leading to aberrant T cells, B cells and NK cells.

Objective To master the prevalence of plague and its trend in Guizhou Province,and to analyze the plague monitoring results from 2000 to 2012.Methods The report of infectious disease,the information of plague natural focus and the epizootic monitoring data of Xingyi City,Anlong County and Dingxiao Distract of Guizhou Province from 2000 to 2012 were collected and the status of the plague natural focus was analyzed.Results There were 137 cases of gland plague in Xingyi City and Arlong county from 2000-2003,1 death,and mt plague occurred in 66 villages.Fifty-four strains of Yersiniapestis were detected and 49 rats were plague antigen F1 positive(49/160).No human plague occurred between 2004-2012.A total of 4 plague antigen F1 positive rats were detected in Dingxiao District and Xingyi City in 2005 and 2006.There was no Yersinia pestis and F1 antibody in 2007-2012.The epidemic stage of plague was from 2000-2003; the active stage was from 2004-2006; and the quiescent stage was from 2007-2012.The dominant species of the plague natural focus was Rattus flavipestus (42.83％,7 966/18 597),but was replaced by Rattus norvegicus at the epidemic stage (47.22％,1 480/3 134) and the active stage(35.35％,2 071/5 196).The density of rodents was 5.34％ at the epidemic stage,which was higher than that of the active stage (3.27％) and the quiescent stage (1.71％,x2 =2 286.15,P ＜ 0.01).Xenopsylla cheopis(56.34％,10 034/17 811) was the dominant species,and the index was 1.537 9,which was greater than those of the active stage(0.959 6) and the quiescent stage(0.540 4,x2 =492.68,P ＜ 0.01).Conclusions The plague of Guizhou Province is at the quiescent stage.Both the density of rodents and the Xenopsylla cheopis index are lower than the national standard of controlling.

Two kinds of different functional groups modified RuBpy-doped silica fluorescent nanoprobes Probe A and B that conjugated with avidin were prepared for the recognition of liver cancer cells. Firstly RuBpy-doped silica nanoparticles were synthesized by reverse microemulsion and modified with different functional groups, then Probe A was prepared by the conjugation of avidin with carboxyl modified nanoparticles through covalent binding using 1-ethyl-3-( 3-dimethylamino propyl ) carbodiimide hydrochloride ( EDC )/sulfo-NHS, whereas Probe B was prepared by the conjugation of avidin with the polyethylene glycol ( PEG) linkers on the surface nanoparticles using cyanogen bromide method. Therefore, compared with Probe A, Probe B was obtained by coupling avidin to the nanoparticles through long-chain PEG molecules. The two probes were incubated with liver cancer cells respectively, and microscopic fluorescence imaging shows that Probe B which contained PEG molecules could be more effectively applied for the recognition of tumor marker carcinoembryonic antigen ( CEA) in liver cancer cells.

In order to explore the possible mechanism of EA (Electroacupuncture) in improving cognitive impairment, the present study was to research the effect of EA on the behavior and expression of the hippocampal neuronal nitric oxide synthase (nNOS) protein of the ovariectomized rats. Forty female SD rats were randomly and equally divided into four groups: sham group (ovarian fat around removal), model group (ovariectomy), sham EA group (sham EA stimulation after ovariectomy) and EA group (EA stimulation after ovariectomy). Two weeks after the ovariectomy, EA and sham EA were applied continuously for 3 months. In the experiment, Morris water maze was used to test the ability of spatial learning and memory, while enzyme-linked immuno sorbent assay (ELISA) and Western blot (WB) were used to detect the concentration of serum estradiol (E2) and relative expression of nNOS protein. The results showed that the escape latency of the EA and sham EA groups was shortened and the number of platform-crossing was significantly increased. The concentration of serum E2 and the expression of nNOS protein in both EA group and sham EA group were significantly elevated compared to those in the model group, while increment in the EA group was more significant (P<0.01). It could be concluded that from above experimental results, EA could be capable of improving learning and memory in ovariectomized rats by promoting the expression of nNOS protein through increasing the concentration of estrogen.
Animals ; Behavior, Animal ; Cognition Disorders ; prevention & control ; Electroacupuncture ; Estradiol ; blood ; Female ; Hippocampus ; enzymology ; Learning ; Memory ; Neurons ; enzymology ; Nitric Oxide Synthase Type I ; metabolism ; Ovariectomy ; adverse effects ; Rats ; Rats, Sprague-Dawley

The minimum life is one of the most important research topics in synthetic biology. Minimizing a genome while at the same time maintaining an optimal growth of the cells is one of the important research objectives in metabolic engineering. Here we propose a genome minimization method based on genome scale metabolic network analysis. The metabolic network is minimized by first deleting the zero flux reactions from flux variability analysis, and then by repeatedly calculating the optimal growth rates after combinatorial deletion of the non-essential genes in the reduced network. We applied this method to the classic E. coli metabolic network model ---iAF1260 and successfully reduced the number of genes in the model from 1 260 to 312 while maintaining the optimal growth rate unaffected. We also analyzed the metabolic pathways in the network with the minimized number of genes. The results provide some guidance for the design of wet experiments to obtain an E. coli minimal genome.
Escherichia coli ; genetics ; metabolism ; Genes, Bacterial ; Genome, Bacterial ; genetics ; Metabolic Engineering ; Metabolic Networks and Pathways