Objective To explore the effectiveness of the generative large language model MedGo in nursing decision-making for elderly patients with multimorbidity. Methods A quasi-randomized controlled trial study was conducted involving 6 junior nurses, 6 senior nurses and the MedGo model from January 1, 2025 to March 31, 2025 at the Emergency Internal Medicine Ward of Shanghai East Hospital Affiliated to Tongji University. Clinical data of 120 elderly patients with multimorbidity were analyzed to compare the performance of the three groups in four tasks (nursing diagnosis assessment, nursing intervention formulation, complication identification, and complication prevention) from three evaluation dimensions: decision-making time consumption, decision accuracy, and decision-making quality. Results In terms of decision-making time, the senior nurse group completed all four tasks faster than the junior nurse group (P＜0.01), and the MedGo group completed all four tasks faster than the junior nurse group (P＜0.001) and the senior nurse group (P＜0.001). In terms of decision-making accuracy, senior nurse group scored higher than junior nurse group in all four tasks (P＜0.001), while the MedGo group outperformed the senior nurse group only in complication identification (P＜0.001). In terms of decision-making quality, the MedGo group scored higher than junior nurse group (P＜0.001) and senior nurse group (P＜0.001) in all four tasks. Conclusions The MedGo model demonstrates advantages of high efficiency, accuracy, and quality in nursing decision-making for elderly patients with multimorbidity; senior nurses outperform junior nurses in decision-making, providing diverse references for clinical nursing decision-making.

ObjectiveTo investigate the effects of metformin on the immune functions of immature dendritic cells （imDCs） and the underlying mechanisms. MethodsMouse bone marrow-derived imDCs were treated with different concentrations of metformin. The working concentration and treatment time of metformin in this study were determined based on the results of cell apoptosis and cell viability assays. The effects of metformin on the phagocytic capacity of imDCs was evaluated using an antigen endocytosis assay. The expression of cluster of differentiation 205 （CD205）， the polymerization of filamentous actin （F-actin）， and the underlying regulatory mechanisms were investigated through flow cytometry， laser confocal fluorescence microscopy， and Western blot. ResultsThe working concentrations of metformin were 1， 2， 4 mmol/L for 24 h determined by the apoptosis and cell viability assays.Metformin significantly suppressed the phagocytic capacity of imDCs， down-regulated the expression of the mannose receptor CD205 on the cell surface， which was closely associated with phagocytic function； metformin inhibited the RhoA-ROCK1-LIMK1-Cofilin signaling pathway， which inhibited the polymerization of F-actin and disturbed its dynamic remodeling of imDCs. ConclusionMetformin can inhibit the expression of CD205 and disrupt the remodeling of F-actin， thereby suppressing the antigen-capturing capacity of imDCs.

Objective:To develop and evaluate a nomogram prediction model for poor outcome of lower extremity motor function in patients with acute ischemic stroke (AIS) at 90 days after onset.Methods:Patients with AIS admitted to Guangzhou Province Hospital of Chinese Medicine from January to October 2024 were included retrospectively. At 90 days after onset, Functional Ambulation Category (FAC) was used for outcome evaluation. ≥4 was defined as good outcome and <4 was defined as poor outcome. Multivariate logistic regression analysis was used to identify the independent predictive factors for poor outcome of lower extremity motor function, and develop a nomogram prediction model. The area under the receiver operating characteristic curve, calibration curve, and clinical decision curve were used to evaluate the predictive model. Results:A total of 325 patients with AIS were enrolled, including 214 males (65.8%), median aged 62 years (interquartile range, 54-71 years); 158 patients (48.6%) had poor outcome of lower extremity motor function. Multivariate logistic regression analysis showed that older age (odds ratio [ OR] 1.037, 95% confidence interval [ CI] 1.011-1.065]; P=0.007) and a higher baseline National Institutes of Health Stroke Scale (NIHSS) score ( OR 1.472, 95% CI 1.336-1.637; P<0.001) were the independent predictors of poor outcome, while intravenous thrombolysis ( OR 0.195, 95% CI 0.080-0.443; P<0.001) and early rehabilitation intervention ( OR 0.444, 95% CI 0.231-0.850; P=0.014) were the independent predictors of good outcome. The area under the receiver operating characteristic curve of the nomogram prediction model developed using the above factors was 0.906 (95% CI 0.872-0.940), indicating that the model had good discriminability. The calibration curve fits well with the ideal curve. The clinical decision curve showed that the model had stronger clinical practicality. Conclusion:The nomogram developed by age, intravenous thrombolysis, early rehabilitation intervention, and baseline NIHSS score can effectively predict the risk of poor outcome of lower extremity motor function in patients with AIS and has higher clinical value.

To investigate the characteristics and differences of immune cell infiltration between different SDHx gene expression and pheochromocytoma/paraganglioma(PPGL).

Depression is a high-incidence mental disorder with complex causes and multifaceted pathogenic mechanisms. Its pathogenesis has not yet been fully elucidated， which has hindered the development of novel and highly effective antidepressant drugs. This condition severely affects human physical and mental health while imposing a significant socio-economic burden. At present， several hypotheses exist regarding the pathogenesis of depression， including monoamine neurotransmitter imbalances， neurotrophic factor deficiencies， neural plasticity impairments， glutamate dysregulation， neuroinflammatory disorders， gut microbiota imbalances， and mitochondrial autophagy dysfunction. Currently， most clinical antidepressants are monoamine neurotransmitter reuptake inhibitors. Although they exhibit certain therapeutic effects， they are associated with significant drawbacks， such as severe adverse reactions and poor patient compliance. In contrast， traditional Chinese medicine （TCM）， characterized by its multi-targeted effects， mild efficacy， and minimal side effects， has demonstrated significant advantages in the treatment of depression. Chinese medicine Polygalae Radix possesses the functions of calming the mind， enhancing cognitive functions， harmonizing the heart and kidneys， and dispelling phlegm to open orifices. It is often included in compound prescriptions for the clinical treatment of depression. Based on current hypotheses regarding the pathogenesis of depression， this paper systematically reviews research progress on the antidepressant mechanisms of Polygalae Radix from multiple perspectives， including its active components， its use in herbal pairings， and its inclusion in TCM compound prescriptions. This review aims to provide a scientific basis for the clinical application of Polygalae Radix in antidepressant therapy and to serve as a reference for the modernization of its antidepressant research.

Objective To compare the application value of different nutritional assessment tools for peritoneal dialysis patients.Methods A total of 147 patients who were hospitalized for peritoneal dialysis in The Second Affiliated Hospital of Naval Medical University between Oct.2022 and Oct.2023 were enrolled by convenience sampling method.The nutritional assessment was carried out by using 3 assessment tools,including 7-point subjective global assessment(7-SGA),malnutrition inflammation score(MIS)and controlling nutritional status(CONUT).Correlation analyses were conducted between the nutritional assessment results and anthropometric measurements and blood biochemical indexes.Results The incidence of malnutrition assessed by 7-SGA,MIS,and CONUT were 53.74%(79/147),48.30%(71/147),and 76.19%(112/147),respectively.Both 7-SGA and MIS assessment revealed that the incidence of malnutrition in peritoneal dialysis patients＞60 years old was significantly higher than that in patients≤60 years old(both P＜0.01).Grouped by 7-SGA results,the body mass index(BMI),skeletal muscle mass,skeletal muscle mass index,phase angle,grip strength,upper arm circumference,upper arm muscle circumference,skinfold thickness,albumin and prealbumin levels in malnourished peritoneal dialysis patients were significantly lower than those in well-nourished peritoneal dialysis patients(all P＜0.05).The 7-SGA score was negatively correlated with age(P＜0.05),and was positively correlated with BMI,skeletal muscle mass,skeletal muscle mass index,phase angle,grip strength,upper arm circumference,upper arm muscle circumference,skinfold thickness,albumin,prealbumin,total protein,creatinine,and hemoglobin(all P＜0.05).Conclusion The incidence of malnutrition in peritoneal dialysis patients varies with the assessment tools used.7-SGA score has high correlation with anthropometric and blood biochemical indexes,and is effective,reliable,and practical.It is a good tool for nutritional assessment in patients undergoing peritoneal dialysis.

OBJECTIVE: This study investigates the efficacy and mechanisms of Qingjie Fuzheng Granules (QFG) in inhibiting colitis-associated colorectal cancer (CAC) development via RNA sequencing (RNA-seq) and 16S ribosomal RNA (rRNA) correlation analysis. METHODS: CAC was induced in BALB/c mice using azoxymethane (AOM) and dextran sulfate sodium (DSS), and QFG was administered orally to the treatment group. The effects of QFG on CAC were evaluated using disease index, histology, and serum T-cell ratios. RNA-seq and 16S rRNA analysis assessed the transcriptome and microbiome change. Key pharmacodynamic pathways were identified by integrating these data and confirmed via Western blotting and immunofluorescence. The link between microbiota and CAC-related markers was explored using linear discriminant analysis effect size and Spearman correlation analysis. RESULTS: Long-term treatment with QFG prevented AOM/DSS-induced CAC formation, reduced levels of interleukin (IL)-1β, tumor necrosis factor-alpha (TNF-α), IL-6, and interferon γ (IFN-γ), and increased CD3⁺ and CD4⁺/CD8⁺ T cells ratio, without causing hepatic or renal toxicity. A 16S rRNA analysis revealed that QFG rebalanced the Firmicutes/Bacteroidetes ratio and mitigated AOM/DSS-induced microbiota disturbances. Transcriptomics and Western blotting analysis identified the nucleotide-binding oligomerization domain-containing protein 2 (NOD2)/nuclear factor kappa-B (NF-κB) pathway as key for QFG's treatment against CAC. Furthermore, QFG decreased the abundance of Bacilli, Bacillales, Staphylococcaceae, Staphylococcus, Lactobacillales, Aerococcus, Alloprevotella, and Akkermansia, while increasing Clostridiales, Lachnospiraceae, Lachnospiraceae_NK4A136_group, Ruminococcaceae, and Muribaculaceae, which were highly correlated with CAC-related markers or NOD2/NF-κB pathway. CONCLUSION By mapping the relationships between CAC, immune responses, microbiota, and key pathways, this study clarifies the mechanism of QFG in inhibiting CAC, highlighting its potential for clinical use as preventive therapy.

The ability of cells to sense and adapt to metabolic changes and environmental variations is essential for their functions. Recent advances in synthetic biology have uncovered increasing mechanisms through which cells detect changes in metabolism and environmental conditions, leading to broader applications. However, a systematic review on the regulation of cellular metabolism and environmental adaption is currently lacking. This article presents a comprehensive overview of this field from three perspectives. First, it introduces key transmembrane and sensor proteins involved in the cellular perception of metabolic and environmental changes. Next, it summarizes the adaptive regulation mechanisms that natural cells employ when confronted with intracellular and extracellular metabolic changes. Finally, the review explores the application scenarios based on cellular adaptive regulation in three aspects: dynamic control, rational metabolic engineering, and adaptive evolution and makes an outlook on the future development directions in this field. This review not only provides a comprehensive perspective on the mechanisms by which cells sense metabolic and environmental variations, but also lays a theoretical foundation for further innovations in the field of synthetic biology. With the continuous advancement of future technologies, a deeper understanding of cellular adaptive regulation mechanisms holds great potential to drive the development and application of novel biomanufacturing platforms.
Adaptation, Physiological ; Synthetic Biology ; Metabolic Engineering/methods* ; Environment ; Bacteria/genetics*

L-valine is an important essential branched-chain amino acid widely used in industries such as feed, pharmaceuticals, and food. In order to further enhance the production performance of L-valine, this study systematically engineered the metabolism of a Corynebacterium glutamicum strain, preserved in the laboratory, which is capable of producing L-valine. First, strain VH-9 was obtained by enhancing the precursor supply, synthesis pathway, and transport system of L-valine. In a 5 L fermenter, the titer, yield, and productivity of L-valine were 76.6 g/L, 0.45 g/g, and 2.39 g/(L·h), respectively. Furthermore, strain VH-18 was obtained by enhancing the uptake of substrate glucose and balancing energy supply to reduce succinate accumulation, with the titer, yield, and productivity of L-valine increased to 82.7 g/L, 0.52 g/g, and 2.58 g/(L·h), respectively. After optimization of fermentation conditions, the titer, yield, and productivity of L-valine in strain VH-18 were further improved to 88.7 g/L, 0.54 g/g, and 2.77 g/(L·h), respectively. This study has achieved the high-efficiency production of L-valine through a systems metabolic engineering strategy.
Corynebacterium glutamicum/genetics* ; Metabolic Engineering/methods* ; Valine/biosynthesis* ; Fermentation ; Glucose/metabolism*