Bacillus mycoides JA20-1 was screened and identified as a biocontrol bacterium with a high capacity for producing volatile organic compounds(VOCs) in the laboratory. This strain had significant inhibitory effects on various postharvest disease pathogens in crops, such as Botrytis cinerea, as well as soil-borne disease pathogens in ginseng, such as Sclerotinia ginseng. In order to accelerate its industrialization process, in this study, single-factor experiments and response surface optimization methods were used. The fermentation medium and fermentation conditions in the shake flask of strain JA20-1 were systematically optimized by using cell production volume as the response variable. Meanwhile, the biocontrol effect of JA20-1 on B. cinerea of ginseng during the storage period was evaluated by using the method of fumigation in a dry dish in vitro. The results indicated that the optimal fermentation medium formulation for strain JA20-1 was as follows: 1% yeast paste, 1% soluble starch, 0.25% K_2HPO_4·3H_2O, and 0.2% NaCl. The optimal fermentation conditions in the shake flask were vaccination size of 3%, culture volume of 50 mL in a 250 mL Erlenmeyer flask, pH of 6.2, fermentation temperature of 34 ℃, shaking speed of 180 r·min~(-1), and incubation time of 18 hours. The bacteria count in the fermentation broth under these conditions reached 2.17 × 10~8 CFU·mL~(-1), which was 6.58 times higher than before. The average control efficacy of the fermentation broth on Botrytis cinerea of ginseng under in vitro fumigation reached 61.70% and 84.04% respectively, when 20 mL and 30 mL per dish were used. The research provided theoretical support and technical foundation for the development and utilization of Bacillus mycoides JA20-1 and the biocontrol of soil-borne diseases in ginseng and postharvest diseases in crops.
Botrytis/drug effects* ; Fermentation ; Panax/microbiology* ; Plant Diseases/prevention & control* ; Volatile Organic Compounds/metabolism* ; Bacillus/physiology* ; Pest Control, Biological/methods* ; Biological Control Agents/metabolism* ; Culture Media/chemistry*

Combined with elastic network model(ENM),the perturbation response scanning(PRS)has emerged as a robust technique for pinpointing allosteric interactions within proteins.Here,we proposed the PRS analysis of drug-target networks(DTNs),which could provide a promising avenue in network medicine.We demonstrated the utility of the method by introducing a deep learning and network perturbation-based framework,for drug repurposing of multiple sclerosis(MS).First,the MS comorbidity network was constructed by performing a random walk with restart algorithm based on shared genes between MS and other diseases as seed nodes.Then,based on topological analysis and functional annotation,the neurotransmission module was identified as the"therapeutic module"of MS.Further,perturbation scores of drugs on the module were calculated by constructing the DTN and introducing the PRS analysis,giving a list of repurposable drugs for MS.Mechanism of action analysis both at pathway and structural levels screened dihydroergocristine as a candidate drug of MS by targeting a serotonin receptor of se-rotonin 2B receptor(HTR2B).Finally,we established a cuprizone-induced chronic mouse model to evaluate the alteration of HTR2B in mouse brain regions and observed that HTR2B was significantly reduced in the cuprizone-induced mouse cortex.These findings proved that the network perturbation modeling is a promising avenue for drug repurposing of MS.As a useful systematic method,our approach can also be used to discover the new molecular mechanism and provide effective candidate drugs for other complex diseases.

Objective:To compare the application of Micronutritional Risk Assessment(MNA),Universal Screening Tool for Malnutrition(MUST)and Nutritional Risk Screening 2002(NRS2002)in nutritional risk assessment among patients with digestive tract tumors during perichemotherapy,based on the Global Leadership Initiative on Malnutrition(GLIM)standard.Methods:A prospective cross-section study was conducted,including 114 patients with digestive tract tumors hospitalized by Department of General Surgery,Huangshan Shoukang Hospital from January 2020 to December 2021.All patients were evaluated by GLIM assessment,the correlation between GLIM and MNA,MUST and NRS 2002 screening results was compared,and the consistency among different methods was compared.Patients were divided into malnourished group(nutritional risk group)or normal nourished group according to the results of the three tools.The differences in single anthropometric or test indicators between the groups were compared.Results:According to GLIM,the proportion of malnutrition was 36.8%.The proportion of malnutrition evaluated by MNA,MUST,and NRS2002 were 63.2%,47.4%,and 32.5%,respectively.The sensitivity and negative predictive value of MNA in assessing nutrition-related risks were the highest,while the specificity,Jorden index,Kappa value and positive predictive value of NRS2002 were the highest.There were statistical differences in levels of body mass index,hemoglobin(Hb),triglyceride,total cholesterol,albumin,prealbumin(P-ALB),blood creatinine,lymphocyte counts,and hospitalization costs between two groups assessed by three different tools(P<0.05).Levels of Hb and P-ALB were statistically different between the two groups of the three screening tools.Conclusion:Based on GLIM evaluation results,MNA and other nutritional screening tools are applicable to the assessment of nutritional risks of patients with gastrointestinal cancer during perichemotherapy due to the joint evaluation of measurement indicators.The MNA is more recommended with the highest detection rate and sensitivity for nutritional risks assessment.

Malnutrition significantly impacts patient outcomes and prognosis.Enteral nutrition(EN)serves as a critical nutritional support strategy for hospitalized patients,particularly those who are critically ill,by effectively addressing malnutrition.However,nutritional requirements vary substantially based on disease state and individual characteristics.Artificial intelligence(AI)enables precision EN management through its advanced data processing and predictive analytics capabilities.This review examines current applications of AI in precision EN delivery,identifies existing challenges,and proposes solutions.We aim to inform future research directions and facilitate AI integration into clinical EN practice,ultimately optimizing patient-centered nutritional care.

PURPOSE: To methodically assess the effectiveness of augmentative plating (AP) and exchange nailing (EN) in managing nonunion following intramedullary nailing for long bone fractures of the lower extremity. METHODS: PubMed, EMBASE, Web of Science, and the Cochrane Library were searched to gather clinical studies regarding the use of AP and EN techniques in the treatment of nonunion following intramedullary nailing of lower extremity long bones. The search was conducted up until May 2023. The original studies underwent an independent assessment of their quality, a process conducted utilizing the Newcastle-Ottawa scale. Data were retrieved from these studies, and meta-analysis was executed utilizing Review Manager 5.3. RESULTS: This meta-analysis included 8 studies involving 661 participants, with 305 in the AP group and 356 in the EN group. The results of the meta-analysis demonstrated that the AP group exhibited a higher rate of union (odds ratio: 8.61, 95% confidence intervals (CI): 4.12 - 17.99, p < 0.001), shorter union time (standardized mean difference (SMD): -1.08, 95% CI: -1.79 - -0.37, p = 0.003), reduced duration of the surgical procedure (SMD: -0.56, 95% CI: -0.93 - -0.19, p = 0.003), less bleeding (SMD: -1.5, 95% CI: -2.81 - -0.18, p = 0.03), and a lower incidence of complications (relative risk: -0.17, 95% CI: -0.27 - -0.06, p = 0.001). In the subgroup analysis, the time for union in the AP group in nonisthmal and isthmal nonunion of lower extremity long bones was shorter compared to the EN group (nonisthmal SMD: -1.94, 95% CI: -3.28 - -0.61, p < 0.001; isthmal SMD: -1.08, 95% CI: -1.64 - -0.52, p = 0.002). CONCLUSION In the treatment of nonunion in diaphyseal fractures of the long bones in the lower extremity, the AP approach is superior to EN, both intraoperatively (with reduced duration of the surgical procedure and diminished blood loss) and postoperatively (with an elevated union rate, shorter union time, and lower incidence of complications). Specifically, in the management of nonunion of lower extremity long bones with non-isthmal and isthmal intramedullary nails, AP demonstrated shorter union time in comparison to EN.
Humans ; Bone Nails/adverse effects* ; Bone Plates/adverse effects* ; Femoral Fractures/surgery* ; Fracture Fixation, Intramedullary/methods* ; Fractures, Ununited/surgery* ; Lower Extremity/injuries*

PURPOSE: We carried out the study aiming to explore and analyze the risk factors, the distribution of pathogenic bacteria, and their antibiotic-resistance characteristics influencing the occurrence of surgical site infection (SSI), to provide valuable assistance for reducing the incidence of SSI after traumatic fracture surgery. METHODS: A retrospective case-control study enrolling 3978 participants from January 2015 to December 2019 receiving surgical treatment for traumatic fractures was conducted at Tangdu Hospital of Air Force Medical University. Baseline data, demographic characteristics, lifestyles, variables related to surgical treatment, and pathogen culture were harvested and analyzed. Univariate analyses and multivariate logistic regression analyses were used to reveal the independent risk factors of SSI. A bacterial distribution histogram and drug-sensitive heat map were drawn to describe the pathogenic characteristics. RESULTS: Included 3978 patients 138 of them developed SSI with an incidence rate of 3.47% postoperatively. By logistic regression analysis, we found that variables such as gender (males) (odds ratio (OR) = 2.012, 95% confidence interval (CI): 1.235 - 3.278, p = 0.005), diabetes mellitus (OR = 5.848, 95% CI: 3.513 - 9.736, p < 0.001), hypoproteinemia (OR = 3.400, 95% CI: 1.280 - 9.031, p = 0.014), underlying disease (OR = 5.398, 95% CI: 2.343 - 12.438, p < 0.001), hormonotherapy (OR = 11.718, 95% CI: 6.269 - 21.903, p < 0.001), open fracture (OR = 29.377, 95% CI: 9.944 - 86.784, p < 0.001), and intraoperative transfusion (OR = 2.664, 95% CI: 1.572 - 4.515, p < 0.001) were independent risk factors for SSI, while, aged over 59 years (OR = 0.132, 95% CI: 0.059 - 0.296, p < 0.001), prophylactic antibiotics use (OR = 0.082, 95% CI: 0.042 - 0.164, p < 0.001) and vacuum sealing drainage use (OR = 0.036, 95% CI: 0.010 - 0.129, p < 0.001) were protective factors. Pathogens results showed that 301 strains of 38 species of bacteria were harvested, among which 178 (59.1%) strains were Gram-positive bacteria, and 123 (40.9%) strains were Gram-negative bacteria. Staphylococcus aureus (108, 60.7%) and Enterobacter cloacae (38, 30.9%) accounted for the largest proportion. The susceptibility of Gram-positive bacteria to Vancomycin and Linezolid was almost 100%. The susceptibility of Gram-negative bacteria to Imipenem, Amikacin, and Meropenem exceeded 73%. CONCLUSION Orthopedic surgeons need to develop appropriate surgical plans based on the risk factors and protective factors associated with postoperative SSI to reduce its occurrence. Meanwhile, it is recommended to strengthen blood glucose control in the early stage of admission and for surgeons to be cautious and scientific when choosing antibiotic therapy in clinical practice.
Humans ; Surgical Wound Infection/epidemiology* ; Male ; Female ; Risk Factors ; Retrospective Studies ; Middle Aged ; Adult ; Case-Control Studies ; Fractures, Bone/surgery* ; Aged ; Drug Resistance, Bacterial ; Logistic Models ; Anti-Bacterial Agents/therapeutic use* ; Incidence ; Bacteria/drug effects*

Combined with elastic network model (ENM), the perturbation response scanning (PRS) has emerged as a robust technique for pinpointing allosteric interactions within proteins. Here, we proposed the PRS analysis of drug-target networks (DTNs), which could provide a promising avenue in network medicine. We demonstrated the utility of the method by introducing a deep learning and network perturbation-based framework, for drug repurposing of multiple sclerosis (MS). First, the MS comorbidity network was constructed by performing a random walk with restart algorithm based on shared genes between MS and other diseases as seed nodes. Then, based on topological analysis and functional annotation, the neurotransmission module was identified as the "therapeutic module" of MS. Further, perturbation scores of drugs on the module were calculated by constructing the DTN and introducing the PRS analysis, giving a list of repurposable drugs for MS. Mechanism of action analysis both at pathway and structural levels screened dihydroergocristine as a candidate drug of MS by targeting a serotonin receptor of serotonin 2B receptor (HTR2B). Finally, we established a cuprizone-induced chronic mouse model to evaluate the alteration of HTR2B in mouse brain regions and observed that HTR2B was significantly reduced in the cuprizone-induced mouse cortex. These findings proved that the network perturbation modeling is a promising avenue for drug repurposing of MS. As a useful systematic method, our approach can also be used to discover the new molecular mechanism and provide effective candidate drugs for other complex diseases.

Objective:To summarize the basic content, evaluation indexes, and application effects of virtual reality (VR) technology for nursing education in the ICU.Methods:Based on Arksey and O'?Malley's framework for scoping study, the literature was retrieved from PubMed, CINAHL, China National Knowledge Infrastructure, Wanfang Data, and other databases. Relevant references were also searched manually. The search time was from the establishment of the databases to January 22, 2024. Literature screening and data extraction were performed independently by two researchers based on the literature inclusion criteria.Results:A total of 14 articles were finally included. The main form of VR-based ICU nursing education was mainly immersive VR, and the content of the education included critical patient assessment, tracheotomy, mechanical ventilation care, extracorporeal membrane oxygenation therapy, developmental care of critically ill infants, infection control, critical care shift handover, ward environment familiarization, and disease management and decision-making. Educational procedures mainly included pre-teaching introduction, VR simulation and post-teaching review. The teaching time ranges from 16 minutes to four hours, and the frequency of teaching is mostly one time. The evaluation indexes included theoretical level, skill level, psychological indexes, and relevant indexes of VR experience. VR education improved the learners' theoretical knowledge level and operation skills to a certain extent, with better acceptance and satisfaction.Conclusions:The applicability and effectiveness of VR technology in ICU nursing education are favorable. Future research should design and implement a standardized VR education course combined with clinical needs and relevant standards. Exploring the effects of the long-term application of VR technology in ICU nursing education also is needed to provide a basis for the development of the best VR teaching strategy.

Objective:To study the relationship between serum adiponectin level and early vascular aging (EVA).Methods:The cross-sectional study method was used. Six hundred and seventy-two subjects who completed health checkup from June to December 2023 in the Affiliated Hospital of Qingdao University were selected. The subjects were divided into the EVA group (237 cases) and the control group (435 cases) based on brachial-ankle pulse wave velocity (baPWV). According to the adiponectin tertiles method, the subjects were divided into low adiponectin subgroup (2.4 to 6.6 mg/L, 225 cases), medium adiponectin subgroup (6.7 to 9.1 mg/L, 227 cases) and high adiponectin subgroup (9.2 to 19.8 mg/L, 220 cases). The basic demographic information, past history and serological indexes were recorded. Univariate and multivariate binary Logistic regression analyses were used to analyze the risk factors for EVA, and multivariate Logistic regression was used to analyze the effect of adiponectin on EVA.Results:The male proportion, age, body mass index (BMI), systolic blood pressure, diastolic blood pressure, triglycerides (TG), fasting blood glucose (FBG), uric acid, glycated hemoglobin (HbA 1c), homocysteine, baPWV and alcohol history proportion in EVA group were significantly higher than those in control group: 64.98% (154/237) vs. 53.33% (232/435), 53 (47, 57) years old vs. 46 (39, 52) years old, (26.34 ± 3.37) kg/m 2 vs. (25.16 ± 3.91) kg/m 2, (132.27 ± 15.48) mmHg (1 mmHg = 0.133 kPa) vs. (117.30 ± 13.04) mmHg, (81.79 ± 11.04) mmHg vs. (71.93 ± 10.10) mmHg, 1.45 (1.03, 2.03) mmol/L vs. 1.08 (0.76, 1.65) mmol/L, 5.52 (5.03, 6.21) mmol/L vs. 5.14 (4.77, 5.56) mmol/L, (380.04 ± 96.43) μmol/L vs. (362.18 ± 94.94) μmol/L, 5.80 (5.50, 5.90)% vs. 5.70 (5.40, 5.82)%, 10.70 (9.01, 12.90) μmol/L vs. 9.96 (8.30, 12.20) μmol/L, 1 586 (1 511, 1 719) cm/s vs. 1 299 (1 215, 1 367) cm/s and 19.41% (46/237) vs. 13.56% (59/435), the adiponectin was significantly lower than that in control group: 7.00 (5.70, 8.75) mg/L vs. 8.40 (6.40, 10.60) mg/L, and there were statistical differences ( P<0.01 or <0.05). There were no statistical differences in total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), creatinine and smoking history proportion between two groups ( P>0.05). The male proportion, BMI, systolic blood pressure, diastolic blood pressure, TG, FBG, uric acid, creatinine, HbA 1c, homocysteine, EVA incidence, baPWV, smoking history proportion and alcohol history proportion in low adiponectin subgroup and medium adiponectin subgroup were significantly higher than those in high adiponectin subgroup, furthermore, the indexes except HbA 1c in low adiponectin subgroup were significantly higher than those in medium adiponectin subgroup, and there were statistical differences ( P<0.05); the HDL-C in low adiponectin subgroup and medium adiponectin subgroup was significantly lower than that in high adiponectin subgroup, furthermore, that in low adiponectin subgroup was significantly lower than that in medium adiponectin subgroup, and there were statistical differences ( P<0.05); there were no statistical differences in age, TC and LDL-C among the three subgroups ( P>0.05). Univariate binary Logistic regression analysis result showed that age, male, BMI, alcohol history, systolic blood pressure, diastolic blood pressure, TG, FBG, uric acid and HbA 1c were the risk factors for EVA ( P<0.01 or <0.05), while the adiponectin was a protective factor for EVA ( P<0.01). Multivariate binary Logistic regression analysis result showed that age, systolic blood pressure, TG and FBG were risk factors for EVA ( OR = 1.098, 1.066, 1.209 and 1.268; 95% CI 1.069 to 1.127, 1.050 to 1.082, 1.007 to 1.451 and 1.069 to 1.502; P<0.01 or <0.05), while adiponectin was a protective factor ( OR = 0.892, 95% CI 0.828 to 0.962, P<0.01). Multivariable Logistic regression analysis result showed that adiponectin consistently remained a protective factor for EVA across unadjusted, preliminary adjusted and fully adjusted covariate models ( OR = 0.553, 0.580 and 0.576; 95% CI 0.451 to 0.678, 0.440 to 0.764 and 0.435 to 0.763; P<0.01). Conclusions:The serum APN level is negatively correlated with the risk of EVA, which may be an independent protective factor for the EVA.

Objective:To examine the near-complete genomic analysis of norovirus (NoV) subtype GⅡ.17 [P17] outbreaks in Beijing Chaoyang District from 2014 to 2024.Methods:Data and specimens related to outbreaks of the NoV aggregation in Beijing′s Chaoyang District from 2014 to 2024 were collected. The NoV was identified using real-time fluorescence reverse transcription polymerase chain reaction (RT-PCR). Specimens with positive nucleic acid were amplified by standard PCR, whole genome sequencing and evolutionary analysis. Amino acid site variations were compared.Results:In Chaoyang District, from 2014 to 2024, a total of 637 aggregated outbreaks caused by the NoV infection were reported, of which 584 were successfully typed. The epidemic caused by the GⅡ.17 [P17] subtype accounted for 8.79% (56/637), which was the dominant epidemic gene subtype in 2014-2015, sporadic in 2016-2019, reappeared in 2022, and significantly increased in 2024 (27.27%, 24/88). Outbreaks caused by the GⅡ.17 [P17] subtype occurred mainly from October to December, with the main sites of occurrence in primary schools and kindergartens. This study yielded 53 near-complete genome sequences of the GⅡ.17 [P17] subtype from 46 incidents in Chaoyang District. The GⅡ.17 [P17] subtype sequences of Chaoyang District from 2014 to 2024 were segmented into three subgroups on the evolutionary tree, with sequences from 2014 to 2019, 2022 to April 2024, and May to December 2024 clustered into the d, e, and b subgroups, respectively. In the VP1 region′s P2 area, particularly at the HBGA binding site, subgroups b and e exhibited mutations in 22 and two sites, while subgroups b and e showed mutations in four and one sites, predominantly in the RdRp region.Conclusion:The outbreak caused by the NoV GⅡ.17 [P17] subtype in Chaoyang District from 2014 to 2024 continues, with a significant increase in 2024, and it becomes the dominant gene subtype from October to December. The sequence formation of the NoV GⅡ.17 [P17] subtype in Chaoyang District from January to April 2022 and from May to December 2024 shows two different evolutions, with specific mutation sites, requiring continuous monitoring of the NoV GⅡ.17 [P17] subtype.