Multidrug-resistant (MDR) bacterial infections have emerged as a serious challenge of global public health crisis. The overuse and misuse of conventional antibiotics have dramatically accelerated the emergence, evolution and worldwide spread of drug-resistant bacterial strains, necessitating urgent exploration of novel antibacterial strategies. Bacteriophages serve as natural bacterial predators offering distinct advantages including high host specificity, autonomous self-replication capabilities and cost-effective large-scale production. However, wild-type phages present significant clinical limitations due to their narrow host ranges, susceptibility to rapid immune clearance and poor penetration of bacterial biofilms, which severely restrict their therapeutic applications. The convergence of synthetic biology, nanotechnology and advanced gene editing technologies has accelerated the development of engineered bacteriophage platforms, providing programmable, scalable and clinically translatable pathways to overcome these inherent biological constraints. Here, we systematically delineate four fundamental strategies for engineered bacteriophage development. Chemical modification utilizes reactive functional groups such as amino, carboxyl and thiol moieties on capsid proteins through esterification, amidation or click chemistry reactions to achieve precise drug conjugation and surface functionalization. In vivo editing encompasses ultraviolet or chemical mutagenesis for random mutation induction, homologous recombination for targeted genetic alterations, recombineering methodologies including electroporation-mediated bacteriophage recombination engineering, and CRISPR-Cas systems for precise genome editing to enable exact genetic reconstruction and host range reprogramming. In vitro synthesis leverages genome engineering platforms where intact phage genomes are transferred into yeast or host bacteria to facilitate highly efficient homologous recombination, enabling large DNA fragment assembly and cross-gene host range expansion without bacterial toxicity constraints. Directed evolution combines artificial selection through mutation library screening with rational design approaches involving chimeric receptor binding protein construction or site-specific mutagenesis, effectively balancing the discovery of unknown adaptive pathways with targeted host specificity modification. Moreover, we comprehensively discuss therapeutic applications across diverse clinical scenarios. Engineered bacteriophage effectively disrupt bacterial biofilms through sophisticated functionalized delivery platforms including nanozyme-conjugated phages, phage-liposome nanoconjugates and bio-responsive hydrogels, demonstrating significantly enhanced bactericidal efficiency compared to unmodified free phages. These bioengineered vectors attenuate bacterial virulence and resensitize pathogens to antibiotics by delivering CRISPR-Cas systems or base editors to disrupt critical virulence factors such as pili, capsule synthesis machineries and quorum sensing systems, or by inactivating antibiotic resistance determinants including beta-lactamase genes. As an intelligent nanomedicine delivery platform, engineered bacteriophage enable precise pathogen elimination an through photocatalytic reactive oxygen species generation, immunomodulatory interventions, or controlled release of antibacterial drugs. Furthermore, oral administration of engineered bacteriophage facilitates microbiota modulation, which selectively eliminate intestinal pathogens while preserve beneficial commensal microbiota, thereby restoring microbial community balance and preventing complications associated with dysbiosis. Finally, we critically analyze persistent challenges including host strain matching complexity, evolution of bacterial resistance mechanisms, pharmacokinetic optimization requirements, optimal administration route selection, large-scale production quality control standards and clinical dosing determination protocols. Through multidisciplinary integration of synthetic biology, infectious disease medicine and immunology, future translational medicine studies of bacteriophage should establish comprehensive technical platforms encompassing rapid phage screening, intelligent rational design, rigorous in vivo evaluation and standardized clinical validation processes, ultimately advancing engineered bacteriophage from laboratory innovations to clinically approved therapeutics for effectively combating MDR bacterial infections.

Objective: To evaluate the cost utility of different influenza vaccination strategies for primary and secondary school students in Anshun City, so as to provide healtheconomic evidence for influenza prevention and control in this population. Methods: Based on the demographic data of 380 700 students aged 5-14 in Anshun City in 2024, a decision tree model for different influenza vaccination strategies was constructed. The incremental cost utility ratio (ICUR) and net monetary benefit (NMB) were calculated, and sensitivity analysis was performed to assess the robustness of the model results. Results: For influenza vaccination among primary and secondary school students in Anshun City, compared with the selfpaid strategy (2% coverage), the free strategy (45% coverage) and the target strategy (70% coverage) both yielded an ICUR of -7 874.29 yuan per quality adjusted life year (QALY). When using 1 and 3 times the per capita Gross Domestic Product (GDP) as the willingness to pay thresholds, the per capita Net Monetary Benefit (NMB) was 1 000, 1 600 and 2 900, 4 500 RMB, respectively. The number of influenza infections or school absenteeism decreased by 25% and 40%, while saving a total cost of (46.779 5 and 73.976 8) million yuan, and increasing QALY by 5 940.79 and 9 394.73, respectively. Sensitivity analysis showed that within the reasonable fluctuation range of parameters, the ICUR remained consistently lower than the one and three times willingness to pay. Furthermore, 99% of the simulation results for both the free and target strategies fell below those thresholds, indicating high robustness of the model results. Conclusion Implementing free and target influenza vaccination strategies for primary and secondary school students in Anshun City offer distinct cost utility advantages, and the advantage enhances as the vaccination coverage rate increases.

Objective:To estimate the radiation dose to caregivers and the public from 177Lu- peptide receptor radionuclide therapy (PRRT) for pediatric neuroblastoma patients and determine the duration of contact restrictions, in order to provide a reference for relevant radiation protection measures. Methods:A retrospective study was conducted by collecting data from 18 pediatric neuroblastoma patients, aged between 3 and 13 (6.72±2.72), who received 177Lu-1, 4, 7, 10-tetraazacyclododecane-1, 4, 7, 10-tetraacetic acid-D-Phe1-Tyr3-Thr8-octreotide (DOTATATE) treatment at the Nuclear Medicine Department of Shandong Cancer Hospital from June 2023 to July 2023. Absorbed dose rate in air at 0, 0.1, 0.5, 1 and 2 m from the patients was measured using a radiation-survey at 1, 4, 24, 48 and 96 h after administration. The whole-body region of interest was delined using HERMES software. Subsequently, curve regression fitting was performed using a biexponential function model. By incorporating hypothesized social contact durations, the effective doses received by family members and the public in contact with patients were estimated. Additionally, MIM software was used to outline the whole-body VOI to obtain the total volume of lesions, and the Pearson or Spearman correlation coefficient was employed to analyze the relationship between the absorbed dose rate in air and clinical indicators as well as the total volume of lesions. Results:The 177Lu-DOTATATE administration dose was (4 353.42±1 451.51) MBq. All patients were discharged from hospital 24 h after 177Lu-DOTATATE administration. At the time of discharge, patients had excreted (76.70±3.99)% of the administered activity, and the absorbed dose rate in air at 0.1, 1 and 2 m from the patients were (32.74±6.98), 3.68(3.01, 4.70) and (1.22±0.51) μSv/h, respectively. After being discharged, the radiation doses to caregivers from children aged 2-5 years and 5-13 years were (2.47±1.80) mSv and (0.88±0.47) mSv, respectively. The contact restriction duration was 2 d for nighttime sleeping with family members and 1 d for contact with other children. On the day of discharge, patients should limit their time on public transportation within 4 h and do not need to restrict private transportation. Conclusions:To ensure the effective dose kept within the safety limits stipulated by current regulations, it is necessary to implement contact restrictions for patients’ family members and the public. After implementing preventive measures, 177Lu-DOTATATE treatment is a safe radionuclide therapeutic option.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective To investigate the relationship between ST-segment elevation myocardial infarction(STEMI)treatment time nodes and coronary microcirculation dysfunction(CMD)after primary percutaneous coronary intervention(PCI)and its prognosis,providing evidence for early identification of high-risk patients,further optimization of treatment system,shortening treatment time and improving prognosis.Methods This study selected 150 STEMI patients who received primary PCI at the 920th Hospital of the Joint Logistic Support Force of the People's Liberation Army of China from March 2023 to September 2023 as the CMD group after PCI(89 cases),with a microcirculation resistance index(caIMR)of≥40 U based on coronary angiography.caIMR＜40 U was classified as the non-CMD group(61 cases).The clinical data,various examination indicators and imaging data of the two groups of patients were collected,and the occurrence of major adverse cardiovascular events(MACE)within half a year after direct PCI of the patients was followed up.The correlation between the two variables was analyzed using Spearman.Multivariate Logistic regression was used to analyze the relationship between each treatment time point and the occurrence of CMD after direct PCI.Using receiver operating characteristic(ROC)curve analysis to predict the occurrence of CMD after direct PCI.The survival curves between the two groups were plotted using the Kaplan-Meier method.Results The levels of symptom onset-to-balloon(S-to-B),symptom onset-to-first medical contact(S-to-FMC),first medical contact-to-balloon(FMC-to-B),symptom onset-to-door(S-to-D)and first medical contact-to-door(FMC-to-D)in the CMD group were significantly higher than those in the non-CMD group(all P＜0.05).Correlation analysis showed that S-to-D,S-to-FMC,the time from FMC-to-B,and the time from FMC-to-D were all positively correlated with the time from S-to-B(r=0.996,P＜0.001;r=0.937,P＜0.001;r=0.431,P＜0.001;r=0.441,P＜0.001).Multivariate Logistic regression analysis indicated that the duration of S-to-D(OR 2.165,95％CI 1.655-2.830,P＜0.001)was a significant influencing factor for CMD.Moreover,S-to-D has a relatively high predictive value for the occurrence of CMD after direct PCI.The area under the ROC curve is 0.898(95％CI 0.850-0.946,P＜0.001),the optimal cut-off value is 231 min,the sensitivity is 82.0％,and the specificity is 88.5％.Kaplan-Meier curve analysis showed that the cumulative survival rate of MACE outcomes in the CMD group was significantly lower than that in the non-CMD group(Log-rank P=0.009).Conclusions Shortening the S-to-D time can reduce the occurrence of CMD after PCI,thereby reducing the incidence of MACE and improving prognosis.

Objective To design an intelligent airborne soldier physical training system based on human body composition analysis to solve the problems in diversity of training mode,targeted training plan and high incidence of military training-related injuries.Methods The intelligent airborne military physical training system was designed with B/S architecture and developed with Python language,which was composed of four functional modules for airborne soldier information acquisition,trainee physical fitness state assessment,physical fitness training program recommendation and airborne soldier physical fitness training program evaluation.The airborne soldier information acquisition module collected and analyzed the trainee physiological parameter information with a human body composition analyzer,clarified the parameter characteristics related to physical training with considerations on military physical training requirements and constructed a trainee physical fitness assessment parameter model;the trainee physical fitness state assessment module established an evaluation model based on machine learning to realize stage-by-stage physical fitness evaluation for airborne soldiers;the physical fitness training program recommendation module was constructed based on the physical training feature similarity algorithm and graph embedding theory to provide decision making assistance for program development of airborne military physical training;the airborne soldier physical fitness training program evaluation module compared the physical fitness and evaluation results before and after training by means of list and chart,and updated the training program based on the evaluation results by calling the physical training program recommendation module.Results The intelligent airborne soldier physical training system contributed to forming an individualized physical fitness training recommendation mechanism after trainee body evaluation,modifying training program based on comparison and feedback for stage-by-stage training evaluation,so as to decrease the incidence of military training-related injuries while increasing the training efficiency.Conclusion The system developed improves airborne soldier physical training in rationality and reliability,and provides references for intelligent military training of the PLA.[Chinese Medical Equipment Journal,2025,46(2):16-23]

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To estimate the radiation dose to caregivers and the public from 177Lu- peptide receptor radionuclide therapy (PRRT) for pediatric neuroblastoma patients and determine the duration of contact restrictions, in order to provide a reference for relevant radiation protection measures. Methods:A retrospective study was conducted by collecting data from 18 pediatric neuroblastoma patients, aged between 3 and 13 (6.72±2.72), who received 177Lu-1, 4, 7, 10-tetraazacyclododecane-1, 4, 7, 10-tetraacetic acid-D-Phe1-Tyr3-Thr8-octreotide (DOTATATE) treatment at the Nuclear Medicine Department of Shandong Cancer Hospital from June 2023 to July 2023. Absorbed dose rate in air at 0, 0.1, 0.5, 1 and 2 m from the patients was measured using a radiation-survey at 1, 4, 24, 48 and 96 h after administration. The whole-body region of interest was delined using HERMES software. Subsequently, curve regression fitting was performed using a biexponential function model. By incorporating hypothesized social contact durations, the effective doses received by family members and the public in contact with patients were estimated. Additionally, MIM software was used to outline the whole-body VOI to obtain the total volume of lesions, and the Pearson or Spearman correlation coefficient was employed to analyze the relationship between the absorbed dose rate in air and clinical indicators as well as the total volume of lesions. Results:The 177Lu-DOTATATE administration dose was (4 353.42±1 451.51) MBq. All patients were discharged from hospital 24 h after 177Lu-DOTATATE administration. At the time of discharge, patients had excreted (76.70±3.99)% of the administered activity, and the absorbed dose rate in air at 0.1, 1 and 2 m from the patients were (32.74±6.98), 3.68(3.01, 4.70) and (1.22±0.51) μSv/h, respectively. After being discharged, the radiation doses to caregivers from children aged 2-5 years and 5-13 years were (2.47±1.80) mSv and (0.88±0.47) mSv, respectively. The contact restriction duration was 2 d for nighttime sleeping with family members and 1 d for contact with other children. On the day of discharge, patients should limit their time on public transportation within 4 h and do not need to restrict private transportation. Conclusions:To ensure the effective dose kept within the safety limits stipulated by current regulations, it is necessary to implement contact restrictions for patients’ family members and the public. After implementing preventive measures, 177Lu-DOTATATE treatment is a safe radionuclide therapeutic option.

Under the background of breaking the " five only" evaluation criteria, continuously optimizing the scientific research performance evaluation system of hospitals to mobilize the enthusiasm and creativity of scientific researchers and guide the direction of scientific research development plays an important role in enhancing the overall scientific research capability of hospitals. Through literature analysis and expert consultation, a certain hospital has constructed a personal scientific research performance evaluation index system for medical staff in tertiary public hospitals, oriented towards innovation quality and member contributions, and began to implement it throughout the hospital in 2021. This index system included four categories of scientific research performance: vertical scientific research projects, academic influence, science and technology awards, and transformation of achievements, with a total of 20 indicators. The annual scientific research performance score of an individual would serve as the basis for the distribution of year-end scientific research performance and an important reference for applying for key and major projects within the hospital. After the application of this evaluation index system, the enthusiasm of medical staff for scientific research has been effectively stimulated. The average individual scientific research performance score increased from 0.974 in 2020 to 1.220 in 2023. All scientific research indicators involved in the evaluation system have shown growth, with a significant increase in high-quality results. This evaluation system can provide a reference for the scientific research performance evaluation of public hospitals under the background of breaking the " five only" evaluation criteria.