ObjectiveTo analyze the distribution of traditional Chinese medicine （TCM） syndrome elements in patients with immune-related adverse events （irAEs） associated with malignant tumor immunotherapy and to explore the influencing factors for the occurrence of irAEs. MethodsClinical data were retrospectively collected from malignant tumor patients treated with programmed death-1 （PD-1） inhibitors， including demographic information， tumor history， duration of immunotherapy， occurrence of irAEs， types and grades of irAEs （G1-G5）， and TCM four-diagnostic information. Patients were divided into irAEs group and the non-irAEs group based on the occurrence of irAEs. Propensity score matching （PSM） at a 1∶2 ratio was performed to balance baseline characteristics between groups. Syndrome elements before treatment and cumulative contributions of syndrome elements before and after irAEs onset were evaluated using the "Syndrome Elements Differentiation Scale". Logistic regression analysis was conducted to identify factors associated with the occurrence of irAEs. The use of glucocorticoids in the irAEs group was also analyzed. ResultsAfter 1∶2 matching， 59 patients were included in the irAEs group and 118 were in the non-irAEs group. No statistically significant differences were found between groups in terms of age， gender， primary tumor site， pathological type， or tumor stage （P＞0.05）. Patients in the non-irAEs group were more likely to have received targeted therapy， while the irAEs group had a longer duration of immunotherapy and a higher rate of positive programmed death-ligand 1 （PD-L1） expression （P＜0.05）. In total， 72 irAEs events occurred among 59 patients， with an overall incidence rate of 19.4% （59/304） and a grade 3~5 incidence rate of 6.8% （4/59）， mainly presenting as cardiotoxicity， nephrotoxicity， and pneumotoxicity.Before immunotherapy， the top three syndrome elements in the irAEs group were spleen （71.2%， 42/59）， kidney （42.4%， 25/59）， and lung （39.0%， 23/59）. For the pathogenic nature elements， yin deficiency （52.5%， 31/59）， phlegm （40.7%， 24/59）， and dampness （35.6%， 21/59） ranked highest. Compared to the non-irAEs group， the distribution of spleen， kidney， liver， yin deficiency， and qi deficiency elements showed significant differences in the irAEs group （P＜0.05）. After the occurrence of irAEs， the cumulative contributions of spleen， lung， stomach， heart， yin deficiency， qi deficiency， and yang hyperactivity elements increased significantly （P＜0.05）. Multivariate Logistic regression analysis indicated that duration of immunotherapy， spleen syndrome element， kidney syndrome element， liver syndrome element， yin deficiency element， and qi deficiency element were independent risk factors for irAEs （P＜0.05 or P＜0.01）. Among the irAEs patients， 15 received glucocorticoid combined with TCM treatment， while 6 received glucocorticoid therapy alone. Patients receiving combined treatment required lower doses and shorter courses of glucocorticoids compared to those treated with glucocorticoids alone （P＜0.05）. ConclusionIn malignant tumor patients， spleen， kidney， lung， yin deficiency， phlegm， dampness， and qi deficiency are the predominant syndrome elements before and after the occurrence of irAEs. However， elements such as heat and qi stagnation significantly increase after irAEs onset. Duration of immunotherapy， spleen， kidney， liver syndrome elements， yin deficiency， and qi deficiency are independent risk factors for the development of irAEs.

ObjectiveTo explore the characteristics of ecological niche and interspecific relationships of mosquitoes in different habitats in Dongcheng District, Beijing, and to provide a basis for mosquito ecological monitoring, control and the development or optimization of prevention and control strategies for related mosquito-borne diseases. MethodsFrom May to October 2023, the ecological monitoring in residential areas, parks, tourist attractions and medical institutions in Dongcheng District of Beijing was carried out using the carbon dioxide (CO₂) mosquito trapping method, and the ecological niche characteristics and interspecific relationships of mosquitoes in different habitats were analyzed using Levins ecological niche breadth index, Pinaka ecological niche overlap index and ecological niche similarity coefficients. ResultsThe temporal ecological niche of Culex pipiens pallens (10.62) was higher than that of Aedes albopictus (8.29) in different habitats in Dongcheng District of Beijing, and the temporal ecological niche overlap index of the two mosquitoes was as high as 0.87. The ecological niche breadth of Culex pipiens pallens was higher than that of Aedes albopictus in different monitoring habitats, and the order of the ecological niche breadth of Culex pipiens pallens in different monitoring habitats was, from high to low, as follows: residential areas (11.09) > tourist attractions (10.25) > medical institutions (9.15) > parks (9.07), while the ecological niche breadth of Aedes albopictus in different habitats was, in descending order, residential areas (8.56) > medical institutions (7.68) > parks (7.44) > tourist attractions (5.73). The results of niche overlap analysis showed that the overlap index between Culex pipiens pallens and Aedes albopictus was the largest in residential areas (0.86), as for in other habitats, which was, in descending order, parks (0.81) > medical institutions (0.68) > tourist attractions (0.60). Besides, the ecological similarity coefficients further verified that similarity coefficients, between the two mosquito species, were highest in residential areas (0.712), lowest in tourist attractions (0.497), and which were 0.675 in parks and 0.598 in medical institutions, respectively. ConclusionIn different monitoring habitats in Dongcheng District of Beijing, Culex albopictus pallens demonstrates a stronger spatio-temporal resource utilization ability than Aedes albopictus, and the two species exhibit more similar spatio-temporal resource utilization patterns in residential areas. Corresponding control strategies targeting the characteristics of ecological niches and interspecific relationships of these two mosquito species in different habitats should be developed to enhance the prevention and control effect.

In recent years, the application of artificial intelligence (AI) in the field of biology has witnessed remarkable advancements. Among these, the most notable achievements have emerged in the domain of protein structure prediction and design, with AlphaFold and related innovations earning the 2024 Nobel Prize in Chemistry. These breakthroughs have transformed our ability to understand protein folding and molecular interactions, marking a pivotal milestone in computational biology. Looking ahead, it is foreseeable that the accurate prediction of various physicochemical properties of proteins—beyond static structure—will become the next critical frontier in this rapidly evolving field. One of the most important protein properties is thermodynamic stability, which refers to a protein’s ability to maintain its native conformation under physiological or stress conditions. Accurate prediction of protein stability, especially upon single-point mutations, plays a vital role in numerous scientific and industrial domains. These include understanding the molecular basis of disease, rational drug design, development of therapeutic proteins, design of more robust industrial enzymes, and engineering of biosensors. Consequently, the ability to reliably forecast the stability changes caused by mutations has broad and transformative implications across biomedical and biotechnological applications. Historically, protein stability was assessed via experimental methods such as differential scanning calorimetry (DSC) and circular dichroism (CD), which, while precise, are time-consuming and resource-intensive. This prompted the development of computational approaches, including empirical energy functions and physics-based simulations. However, these traditional models often fall short in capturing the complex, high-dimensional nature of protein conformational landscapes and mutational effects. Recent advances in machine learning (ML) have significantly improved predictive performance in this area. Early ML models used handcrafted features derived from sequence and structure, whereas modern deep learning models leverage massive datasets and learn representations directly from data. Deep neural networks (DNNs), graph neural networks (GNNs), and attention-based architectures such as transformers have shown particular promise. GNNs, in particular, excel at modeling spatial and topological relationships in molecular structures, making them well-suited for protein modeling tasks. Furthermore, attention mechanisms enable models to dynamically weigh the contribution of specific residues or regions, capturing long-range interactions and allosteric effects. Nevertheless, several key challenges remain. These include the imbalance and scarcity of high-quality experimental datasets, particularly for rare or functionally significant mutations, which can lead to biased or overfitted models. Additionally, the inherently dynamic nature of proteins—their conformational flexibility and context-dependent behavior—is difficult to encode in static structural representations. Current models often rely on a single structure or average conformation, which may overlook important aspects of stability modulation. Efforts are ongoing to incorporate multi-conformational ensembles, molecular dynamics simulations, and physics-informed learning frameworks into predictive models. This paper presents a comprehensive review of the evolution of protein thermodynamic stability prediction techniques, with emphasis on the recent progress enabled by machine learning. It highlights representative datasets, modeling strategies, evaluation benchmarks, and the integration of structural and biochemical features. The aim is to provide researchers with a structured and up-to-date reference, guiding the development of more robust, generalizable, and interpretable models for predicting protein stability changes upon mutation. As the field moves forward, the synergy between data-driven AI methods and domain-specific biological knowledge will be key to unlocking deeper understanding and broader applications of protein engineering.

OBJECTIVE To summarize the implementation experiences of the China Hospital Association’s Clinical Pharmacist Instructor Training Program Reform， and to evaluate the effectiveness of the reform， thus continuously enhancing the quality and standards of clinical pharmacist instructor training. METHODS The study drew on project evaluation methodologies to summarize the main characteristics of the comprehensive system and new model for clinical pharmacist instructor training established through the reform by literature review. The “learning assessment” and “reaction assessment” were conducted by using Kirkpatrick’s four-level model of evaluation in order to evaluate the effectiveness of the clinical pharmacist instructor training reform through statistically processing and analyzing the performance data and teaching evaluation data of the instructor participants. Based on problem and trend analysis， the future development directions were anticipated for the reform of clinical pharmacist instructor training. RESULTS & CONCLUSIONS The latest round of clinical pharmacist instructor training reform initiated by the Chinese Hospital Association had initially established a four-pronged training system encompassing “recruitment， training， assessment， and management”. It had also forged a training 。 model “oriented towards enhancing clinical teaching competency， with practical learning and skill-based assessment conducted on clinical teaching sites as its core”. Following a period of over three years of gradual reform， the new training system and model became increasingly mature. In both 2023 and 2024， the participants achieved relatively high average total scores in their initial completion assessments [with scores of （84.05± 5.83） and （85.82±4.35） points， respectively]. They also reported a strong sense of gain from the training reform [with self- perceived gain scores of （4.80±0.44） and （4.85±0.39） points， respectively]. The operation and implementation effects of the reform were generally satisfactory. In the future， clinical pharmacist instructor training reforms should continue to address the issues remaining from the current phase， while aligning with global trends in pharmacy education and industry development. Additionally， sustained exploration and practice will be carried out around the core objective of “enhancing clinical teaching competence”.

BACKGROUND:The stability of the pelvis is mainly determined by the posterior pelvic ring and the sacroiliac joint.The posterior pelvic ring injury and the dislocation of the sacroiliac joint caused by high energy impacts such as car accidents increase year by year.Surgical treatment is the best method,and there are many kinds of endophytorepair methods in clinical practice,but which treatment method has the best biomechanical properties is still controversial. OBJECTIVE:To compare the biomechanical properties of three kinds of internal implants:anterior double plates,posterior bridging plate and tension nail in the repair of unilateral unstable pelvic posterior ring injury,to provide a reference for the clinical treatment and development of a new pelvic tension screw. METHODS:(1)Finite element simulation:Mimics,Wrap and SolidWorks were used to establish normal pelvic model,unilateral injured pelvis model,and three kinds of internal implant repaired models(anterior double plates,posterior bridging plate and tension nail).Ansys was used to analyze the stress and deformation of the models.(2)Biomechanical test:A total of 15 intact pelvic specimens were randomly grouped into five groups,normal pelvic model,unilateral injured pelvis model,anterior double plates,posterior bridging plate and tension nail groups.The mechanical test was performed using an Instron E10000 testing machine. RESULTS AND CONCLUSION:(1)Simulation:In the normal pelvic model,the average displacement of the sacrum was 0.174 mm,and the maximum stress of the sacral iliac bone was 10.51 MPa,and the stress distribution was uniform.The mean sacral displacement of the unilateral injured pelvis model was 0.267 mm,and the stress concentration of the model was obvious.The mean displacement of the sacrum in the three repaired models was close to that in the normal pelvic model,and the stress distribution of the sacral iliac bone in the tension nail repaired model was uniform.(2)Mechanical test:The stiffness of the normal pelvic model was(226.38±4.18)N/mm,and that of the unilateral unstable pelvic model was the smallest(130.02±2.19)N/mm.The deviation of the normal pelvic model stiffness and the three repaired models'stiffness were all within(±10%),and the repair effect was obvious.(3)The simulation results were in agreement with the experimental results.(4)The biomechanics of the tension nail repaired model was the most similar to that of the normal pelvis,and this method was the best.The repairing stiffness of the anterior double plate was too large,and the stress shielding effect was more significant.The posterior bridging plate repair could not solve the compensatory effect of the normal side soft tissue and had defects.This study provides an optimal basis for clinical surgery.(5)The new type of pelvic tension nail should be improved from the point of view of the tension nail to retain the good biomechanical properties of the tension nail,while adding other advantages,such as being used for the osteoporotic pelvis.

Bacterial biofilms gave rise to persistent infections and multi-organ failure, thereby posing a serious threat to human health. Biofilms were formed by cross-linking of hydrophobic extracellular polymeric substances (EPS), such as proteins, polysaccharides, and eDNA, which were synthesized by bacteria themselves after adhesion and colonization on biological surfaces. They had the characteristics of dense structure, high adhesiveness and low drug permeability, and had been found in many human organs or tissues, such as the brain, heart, liver, spleen, lungs, kidneys, gastrointestinal tract, and skeleton. By releasing pro-inflammatory bacterial metabolites including endotoxins, exotoxins and interleukin, biofilms stimulated the body’s immune system to secrete inflammatory factors. These factors triggered local inflammation and chronic infections. Those were the key reason for the failure of traditional clinical drug therapy for infectious diseases.In order to cope with the increasingly severe drug-resistant infections, it was urgent to develop new therapeutic strategies for bacterial-biofilm eradication and anti-bacterial infections. Based on the nanoscale structure and biocompatible activity, nanobiomaterials had the advantages of specific targeting, intelligent delivery, high drug loading and low toxicity, which could realize efficient intervention and precise treatment of drug-resistant bacterial biofilms. This paper highlighted multiple strategies of biofilms eradication based on nanobiomaterials. For example, nanobiomaterials combined with EPS degrading enzymes could be used for targeted hydrolysis of bacterial biofilms, and effectively increased the drug enrichment within biofilms. By loading quorum sensing inhibitors, nanotechnology was also an effective strategy for eradicating bacterial biofilms and recovering the infectious symptoms. Nanobiomaterials could intervene the bacterial metabolism and break the bacterial survival homeostasis by blocking the uptake of nutrients. Moreover, energy-driven micro-nano robotics had shown excellent performance in active delivery and biofilm eradication. Micro-nano robots could penetrate physiological barriers by exogenous or endogenous driving modes such as by biological or chemical methods, ultrasound, and magnetic field, and deliver drugs to the infection sites accurately. Achieving this using conventional drugs was difficult. Overall, the paper described the biological properties and drug-resistant molecular mechanisms of bacterial biofilms, and highlighted therapeutic strategies from different perspectives by nanobiomaterials, such as dispersing bacterial mature biofilms, blocking quorum sensing, inhibiting bacterial metabolism, and energy driving penetration. In addition, we presented the key challenges still faced by nanobiomaterials in combating bacterial biofilm infections. Firstly, the dense structure of EPS caused biofilms spatial heterogeneity and metabolic heterogeneity, which created exacting requirements for the design, construction and preparation process of nanobiomaterials. Secondly, biofilm disruption carried the risk of spread and infection the pathogenic bacteria, which might lead to other infections. Finally, we emphasized the role of nanobiomaterials in the development trends and translational prospects in biofilm treatment.

Objective To compare the efficacy and safety of Saccharomyces boulardii and other probiotics in the treatment of pediatric diarrhea.Methods Retrieved from PubMed,Embase,CBM,Wanfang data,CNKI and VIP,randomized controlled trial(RCTs)about Saccharomyces boulardii(treatment group)vs other probiotics(control group)were collected.After screening the literature,extracting data and evaluating the quality,Meta-analysis was performed by using RevMan 5.3 and Stata 17.0 software.Results A total of 30 RCTs were included,involving 3 082 children.Results of Meta-analysis showed there was no statistical significance in the duration of diarrhea[mean difference(MD)=-0.65,95％confidence interval(CI)=-1.44-0.14,P＞0.05]or the total incidence of adverse reactions[odds ratio(OR)=0.85,95％CI=0.44-1.62,P＞0.05].The total effective rate(OR=1.60,95％CI=1.08-2.36,P＜0.05)and the number of stools(MD=-0.66,95％CI=-1.00--0.32,P＜0.01)in the treatment group were significantly better than control group.There was statistically significant difference in the duration of diarrhea between the two groups treated with diarrhea with fever(MD=1.81,95％CI=1.12-2.49,P＜0.01)and rotavirus gastroenteritis(MD=-0.92,95％CI=-1.20--0.64,P＜0.01).In the treatment of diarrhea with fever,the duration of diarrhea in the control group was significantly shorter than that in the treatment group.The duration of diarrhea in the treatment group was significantly shorter than that control group.At the same time,the duration of diarrhea in children with diarrhea treated with treatment group was significantly shorter than that of control group Bifidobacterium tetragenous viable(MD=-0.84,95％CI=-1.09--0.58,P＜0.01)and control group combined Bacillus subtilis and Enterococcus faecium enteric-coated(MD=-1.35,95％CI=-2.30-0.39,P＜0.01).Conclusion The safety of Saccharomyces boulardii are similar to other probiotics.The efficacy and the number of stools with Saccharomyces boulardii are significantly better than other probiotics in the treatment of diarrhea.The duration of diarrhea in Saccharomyces boulardii group was significantly shorter than other probiotics,while in the treatment of antibiotic-associated diarrhea,the duration of diarrhea of Saccharomyces boulardii was the same as that of other probiotics.However,the duration of diarrhea in children with diarrhea treated with Saccharomyces boulardii was significantly longer than other probiotics.

The European Society of Endodontology published the S3-level clinical practice guideline for the treatment of pulpal and apical disease in October 2023, which provides best current therapeutic strategies supported by scientific evidences. The guideline was divided into four parts: the diagnosis and treatment of pulpitis, diagnosis and nonsurgical treatment of apical periodontitis, surgical treatment of apical periodontitis, and regenerative treatment. This article aims to introduce and interpret the guideline, and to better manage patients with pulpitis and apical periodontitis for preserving teeth over a patient′s lifetime in China.

Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2022.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of national bloodstream infection Bacterial Resistant Investigation Collaborative System（BRICS）were collected during January 2022 to December 2022. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute（CLSI）. WHONET 5.6 and SPSS 25.0 software were used to analyze the data.Results:During the study period，9 035 strains of Gram-negative bacteria were collected from 51 hospitals，of which 7 895（87.4%）were Enterobacteriaceae and 1 140（12.6%）were non-fermenting bacteria. The top 5 bacterial species were Escherichia coli（ n=4 510，49.9%）， Klebsiella pneumoniae（ n=2 340，25.9%）， Pseudomonas aeruginosa（ n=534，5.9%）， Acinetobacter baumannii complex（ n=405，4.5%）and Enterobacter cloacae（ n=327，3.6%）. The ESBLs-producing rates in Escherichia coli， Klebsiella pneumoniae and Proteus spp. were 47.1%（2 095/4 452），21.0%（427/2 033）and 41.1%（58/141），respectively. The prevalence of carbapenem-resistant Escherichia coli（CREC）and carbapenem-resistant Klebsiella pneumoniae（CRKP）were 1.3%（58/4 510）and 13.1%（307/2 340）；62.1%（36/58）and 9.8%（30/307）of CREC and CRKP were resistant to ceftazidime/avibactam combination，respectively. The prevalence of carbapenem-resistant Acinetobacter baumannii（CRAB）complex was 59.5%（241/405），while less than 5% of Acinetobacter baumannii complex was resistant to tigecycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa（CRPA）was 18.4%（98/534）. There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of main Gram-negative bacteria resistance among different regions，with statistically significant differences in the prevalence of CRKP and CRPA（ χ2=20.489 and 20.252， P<0.001）. The prevalence of CREC，CRKP，CRPA，CRAB，ESBLs-producing Escherichia coli and Klebsiella pneumoniae were higher in provinicial hospitals than those in municipal hospitals（ χ2=11.953，81.183，10.404，5.915，12.415 and 6.459， P<0.01 or <0.05），while the prevalence of CRPA was higher in economically developed regions（per capita GDP ≥ 92 059 Yuan）than that in economically less-developed regions（per capita GDP <92 059 Yuan）（ χ2=6.240， P=0.012）. Conclusions:The proportion of Gram-negative bacteria in bloodstream infections shows an increasing trend，and Escherichia coli is ranked in the top，while the trend of CRKP decreases continuously with time. Decreasing trends are noted in ESBLs-producing Escherichia coli and Klebsiella pneumoniae. Low prevalence of carbapenem resistance in Escherichia coli and high prevalence in CRAB complex have been observed. The composition ratio and antibacterial spectrum of bloodstream infections in different regions of China are slightly different，and the proportion of main drug resistant bacteria in provincial hospitals is higher than those in municipal hospitals.

Objective To explore the feasibility and accuracy of neutrophil-to-lymphocyte ratio(NLR)in the prediction of testicular torsion(TT)in children with acute scrotal pain.Methods A retrospective case-control study was performed on 158 pediatric patients with ultrasound suspicion of TT who underwent surgical testicular examination during Jan.2017 and Jan.2024.The patients were divided into TT group and non-TT group.Clinical data and laboratory data at admission were analyzed.Sensitivity and specificity of NLR to TT were determined with the area under the curve(AUC)represented on the receiver operating characteristic(ROC)curves.Results There were with no statistically significant differences in clinical data between the two groups(P＞0.05).The NLR was significantly higher in the TT group than in the non-TT group[(4.82±2.37)vs.(2.85±0.75),P＜0.05].The optimal cut-off value of TT predicted by NLR was 2.07,the AUC was 0.809(95％CI:0.709-0.909),and the sensitivity and specificity were 97.9％and 93.3％,respectively,which were significantly higher than other factors.Conclusion For suspicious ultrasound diagnosis of pediatric acute scrotal pain cases,NLR can be used to predict the possibility of TT and may help to evaluate the urgent surgical treatment in these patients.