Objective To investigate the tendency of distribution and drug-resistance of the causative organisms of urinary tract infections(UTIs)in Wuhan,and provide reliable evidence for clinical treatment.Methods Analyzed the 5 378 stains of pathogen isolated from the urine of patients in hospital.The bacteria isolates were identified with BD Phoenix-100 while can-dida isolates were identified by color plate.Results A total of 5 378 stains of pathogen had been isolated.There were 2 945 stains (54.8%)of Gram-negative bacteria,1 657 stains (30.8%)of Gram-positive bacteria,776 stains (14.4%)of fungus. The rates of Escherichiacoli resistant to penicillin were highest (>83%),and there were no carbapenem-resistant strains. There were vancomycin and linezolid-resistant Enterococcispp strains,the lowest dection rates of which were 0.3%.The de-tection rate of MRCNS was over 83%.Conclusion Escherichiacoli was the most common pathogens of urinary tract infec-tion,and theβ-lactamase inhibitor complex can be used as empirical treatment of E.coli infections.Thedetection rate of MRCNS increased,which shoud be kept a watchful eye on.

Objective:To delve deeply into the dynamic trajectories of cell subpopulations and the communication network among immune cell subgroups during the malignant progression of glioblastoma(GBM),and to endeavor to unearth key risk biomarkers in the GBM malignancy progression,so as to provide a more profound understanding for the treatment and prognosis of this disease by integrating tran-scriptomic data and clinical information of the GBM patients.Methods:Utilizing single-cell sequencing data analysis,we constructed a cell subgroup atlas during the malignant progression of GBM.The Mono-cle2 tool was employed to build dynamic progression trajectories of the tumor cell subgroups in GBM.Through gene enrichment analysis,we explored the biological processes enriched in genes that significant-ly changed with the malignancy progression of GBM tumor cell subpopulations.CellChat was used to identify the communication network between the different immune cell subgroups.Survival analysis helped in identifying risk molecular markers that impacted the patient prognosis during the malignant pro-gression of GBM.This methodological approach offered a comprehensive and detailed examination of the cellular and molecular dynamics within GBM,providing a robust framework for understanding the disease's progression and potential therapeutic targets.Results:The analysis of single-cell sequencing data identified 6 different cell types,including lymphocytes,pericytes,oligodendrocytes,macrophages,glioma cells,and microglia.The 27 151 cells in the single-cell dataset included 3 881 cells from the pa-tients with low-grade glioma(LGG),10 166 cells from the patients with newly diagnosed GBM,and 13 104 cells from the patients with recurrent glioma(rGBM).The pseudo-time analysis of the glioma cell subgroups indicated significant cellular heterogeneity during malignant progression.The cell interaction analysis of immune cell subgroups revealed the communication network among the different immune sub-groups in GBM malignancy,identifying 22 biologically significant ligand-receptor pairs across 12 key bio-logical pathways.Survival analysis had identified 8 genes related to the prognosis of the GBM patients,among which SERPINE1,COL6A1,SPP1,LTF,C1S,AEBP1,and SAA1L were high-risk genes in the GBM patients,and ABCC8 was low-risk genes in the GBM patients.These findings not only provided new theoretical bases for the treatment of GBM,but also offered fresh insights for the prognosis assessment and treatment decision-making for the GBM patients.Conclusion:This research comprehensively and pro-foundly reveals the dynamic changes in glioma cell subpopulations and the communication patterns among the immune cell subgroups during the malignant progression of GBM.These findings are of significant im-portance for understanding the complex biological processes of GBM,providing crucial new insights for precision medicine and treatment decisions in GBM.Through these studies,we hope to provide more ef-fective treatment options and more accurate prognostic assessments for the patients with GBM.

Recent work in decision neuroscience suggests that visual saliency can interact with reward-based choice, and the lateral intraparietal cortex (LIP) is implicated in this process. In this study, we recorded from LIP neurons while monkeys performed a two alternative choice task in which the reward and luminance associated with each offer were varied independently. We discovered that the animal's choice was dictated by the reward amount while the luminance had a marginal effect. In the LIP, neuronal activity corresponded well with the animal's choice pattern, in that a majority of reward-modulated neurons encoded the reward amount in the neuron's preferred hemifield with a positive slope. In contrast, compared to their responses to low luminance, an approximately equal proportion of luminance-sensitive neurons responded to high luminance with increased or decreased activity, leading to a much weaker population-level response. Meanwhile, in the non-preferred hemifield, the strength of encoding for reward amount and luminance was positively correlated, suggesting the integration of these two factors in the LIP. Moreover, neurons encoding reward and luminance were homogeneously distributed along the anterior-posterior axis of the LIP. Overall, our study provides further evidence supporting the neural instantiation of a priority map in the LIP in reward-based decisions.
Animals ; Macaca mulatta/physiology* ; Parietal Lobe ; Neurons/physiology* ; Saccades ; Reward ; Photic Stimulation

Objective: To investigate the anti-tumor effect of CTL cells on colon cancer xenograft in nude mice after knocking out the immune check point CTLA-4 by CRISPR/Cas9 technology. Methods: A specific small guide RNA (sgRNA) for CTLA-4 was designed to construct sgRNA/Cas9 plasmid, which was then transfected into CTL using a lentiviral vector to obtain CTL cells with CTLA-4 deletion (CTLA-4 KO CTL). The transfection efficiency of the plasmid and the deletion efficiency of CTLA-4 were verified. BALB/c nude mice were randomly divided into two groups to prophylactically inoculate CTLA-4 KO CTL (experimental group) or CTL (control group); 3 days later, the animals of two groups were inoculated with colon cancer cell line LS174-T to observe the tumor formation rate and tumor formation time. After constructing colon cancer xenograft model in nude mice, the animals were randomly divided into two groups, respectively treated with CTLA-4 KO CTL (experimental group) and CTL (control group) cells to observe the tumor growth volume and survival time of mice. The serum levels of TNF-α and IFN-γ in nude mice were detected. Results: sgRNAwas designed and CRSIPR/Cas9 system with lentivirus as vector was successfully constructed. CTL cells were transfected with the established CRSIPR/ Cas9 system, and the highest transfection efficiency was up to (28.80±0.62)%. After transfection, the deletion efficiency of CTLA-4 was detected by Flow cytometry. The CTLA-4 expression of CTLA-4 KO CTL group was significantly lower than that of CTL group [(0.91±0.25)% vs (42.70±2.72)%, P<0.05]. In prophylactic assay, the formation rate of colon cancer xenografts in the experimental group was significantly lower than that in the control group(33.33%vs100%,P<0.05). In treatment assay, the tumor volume in the experimental group was significantly inhibited compared with the control group ([503±23.9] vs [911.2±51.4] mm3, P<0.05), and the survivaltimeoftheexperimentalgroupwassignificantlyprolonged (mediansurvivaltime:78dvs42d,P<0.05); Moreover, the secretion levels of serumTNF-α([268.93±17.04]pg/mlvs[148.26±20.07]pg/ml,P<0.05) and IFN-γ(315.38±18.67 pg/ml vs 202.92±29.32 pg/ml, P<0.05) in the experimental group were significantly higher than those in the control group. Conclusions: The lentiviral vector CRSIPR/Cas9 system is an effective gene editing method; its successful deletion of CTLA-4 in CTL cells can significantly inhibit the tumor formation rate of colon cancer xenografts in nude mice and enhance the anti-tumor effect of CTLon colon cancer xenografts.

Currently, in precision cardiac surgery, there are still some pressing issues that need to be addressed. For example, cardiopulmonary bypass remains a critical factor in precise surgical treatment, and many core aspects still rely on the experience and subjective judgment of cardiopulmonary bypass specialists and surgeons, lacking precise data feedback. With the increasing elderly population and rising surgical complexity, precise feedback during cardiopulmonary bypass becomes crucial for improving surgical success rates and facilitating high-complexity procedures. Overcoming these key challenges requires not only a solid medical background but also close collaboration among multiple interdisciplinary fields. Establishing a multidisciplinary team encompassing professionals from the medical, information, software, and related industries can provide high-quality solutions to these challenges. This article shows several patents from a collaborative medical and electronic information team, illustrating how to identify unresolved technical issues and find corresponding solutions in the field of precision cardiac surgery while sharing experiences in applying for invention patents.

Objective     To explore the correlation between the quantitative and qualitative features of CT images and the invasiveness of pulmonary ground-glass nodules, providing reference value for preoperative planning of patients with ground-glass nodules. Methods    The patients with ground-glass nodules who underwent surgical treatment and were diagnosed with pulmonary adenocarcinoma from September 2020 to July 2022 at the Third Affiliated Hospital of Kunming Medical University were collected. Based on the pathological diagnosis results, they were divided into two groups: a non-invasive adenocarcinoma group with in situ and minimally invasive adenocarcinoma, and an invasive adenocarcinoma group. Imaging features were collected, and a univariate logistic regression analysis was conducted on the clinical and imaging data of the patients. Variables with statistical difference were selected for multivariate logistic regression analysis to establish a predictive model of invasive adenocarcinoma based on independent risk factors. Finally, the sensitivity and specificity were calculated based on the Youden index. Results     A total of 555 patients were collected. The were 310 patients in the non-invasive adenocarcinoma group, including 235 females and 75 males, with a meadian age of 49 (43, 58) years, and 245 patients in the invasive adenocarcinoma group, including 163 females and 82 males, with a meadian age of 53 (46, 61) years. The binary logistic regression analysis showed that the maximum diameter (OR=4.707, 95%CI 2.060 to 10.758), consolidation/tumor ratio (CTR, OR=1.027, 95%CI 1.011 to 1.043), maximum CT value (OR=1.025, 95%CI 1.004 to 1.047), mean CT value (OR=1.035, 95%CI 1.008 to 1.063), spiculation sign (OR=2.055, 95%CI 1.148 to 3.679), and vascular convergence sign (OR=2.508, 95%CI 1.345 to 4.676) were independent risk factors for the occurrence of invasive adenocarcinoma (P<0.05). Based on the independent predictive factors, a predictive model of invasive adenocarcinoma was constructed. The formula for the model prediction was: Logit(P)=–1.293+1.549×maximum diameter of lesion+0.026×CTR+0.025×maximum CT value+0.034×mean CT value+0.72×spiculation sign+0.919×vascular convergence sign. The area under the receiver operating characteristic curve of the model was 0.910 (95%CI 0.885 to 0.934), indicating that the model had good discrimination ability. The calibration curve showed that the predictive model had good calibration, and the decision analysis curve showed that the model had good clinical utility. Conclusion     The predictive model combining quantitative and qualitative features of CT has a good predictive ability for the invasiveness of ground-glass nodules. Its predictive performance is higher than any single indicator.