γδ T cells possess both innate and adaptive immune characteristics. Their antigen recognition is independent of major histocompatibility complex presentation， and they can directly recognize abnormal tumor metabolism， showing unique application potential in tumors with low immune infiltration. This paper systematically sorts out the biological characteristics and antitumor immune functions of γδ T cells， and mainly reviews the relevant mechanisms by which active ingredients of traditional Chinese medicine regulate γδ T cells to exert antitumor immune functions. Glycyrrhiza polysaccharide and Astragalus polysaccharide can enhance the antitumor immune function of γδ T cells by promoting the expression of various cytokines， regulating intestinal flora and alleviating immunosuppressive state. Quercetin and puerarin can strengthen γδ T cell-mediated tumor cell killing by regulating the proliferation of γδ T cells， the expression of cytotoxic effector molecules and related signaling pathways. Toosendanin can potentiate γδ T cell-induced tumor cell killing by down-regulating the expression of anti-apoptotic protein in tumor cells. Artesunate can boost γδ T cell-mediated antitumor immune responses by enhancing the effector function of γδ T cells and weakening tumor immune escape. Future research shall focus on exploring the synergistic effects and molecular mechanisms of the combined application of active ingredients of traditional Chinese medicine and γδ T cell immunotherapy， and identifying the key targets for γδ T cells to exert antitumor immune functions.

γδ T cells possess both innate and adaptive immune characteristics. Their antigen recognition is independent of major histocompatibility complex presentation， and they can directly recognize abnormal tumor metabolism， showing unique application potential in tumors with low immune infiltration. This paper systematically sorts out the biological characteristics and antitumor immune functions of γδ T cells， and mainly reviews the relevant mechanisms by which active ingredients of traditional Chinese medicine regulate γδ T cells to exert antitumor immune functions. Glycyrrhiza polysaccharide and Astragalus polysaccharide can enhance the antitumor immune function of γδ T cells by promoting the expression of various cytokines， regulating intestinal flora and alleviating immunosuppressive state. Quercetin and puerarin can strengthen γδ T cell-mediated tumor cell killing by regulating the proliferation of γδ T cells， the expression of cytotoxic effector molecules and related signaling pathways. Toosendanin can potentiate γδ T cell-induced tumor cell killing by down-regulating the expression of anti-apoptotic protein in tumor cells. Artesunate can boost γδ T cell-mediated antitumor immune responses by enhancing the effector function of γδ T cells and weakening tumor immune escape. Future research shall focus on exploring the synergistic effects and molecular mechanisms of the combined application of active ingredients of traditional Chinese medicine and γδ T cell immunotherapy， and identifying the key targets for γδ T cells to exert antitumor immune functions.

ObjectiveTo apply and systematically evaluate the care-need grading assessment tool for adults with disabilities in welfare institutions. MethodsFrom June to July, 2025, four disability care institutions in Shanghai were selected, and a total of 1 002 adults with disabilities were assessed using the self-developed care-need grading assessment tool for adults with disabilities in welfare institutions. The application effectiveness of the tool was evaluated by analyzing the classification results of care need grading and the reclassification in grade distribution. The application validity was assessed through score differences across functional dimensions, reduced-dimension clustering scatter plots for each grade, and external variables. The application efficiency was evaluated based on the average assessment duration and learning curves. The application utility value was assessed through the distribution characteristics and mapping relationships of service lists across different grades. ResultsThe distribution across disability levels was 84 in Level 1, 298 in Level 2, 92 in Level 3, 246 in Level 4, and 282 in Level 5, indicating a trend where individuals from higher levels in the original system shifted toward the middle and lower levels of the new system. The tool demonstrated strong discriminatory power across the four functional dimensions (P < 0.001), indicating favorable discriminant validity. The five classified levels exhibited clear clustering boundaries in the reduced-dimension space, reflecting robust structural validity. The classification results were consistent with theoretical expectations regarding external variables, including age, disability type, disability grade, number of comorbidities, and primary clinical diagnoses (P < 0.05), demonstrating sound external validity. The median assessment duration was 5.80 minutes, with a significant learning effect (P = 0.037), showcasing high efficiency. Finally, service lists tailored to different care levels were developed, where service content exhibited graded differences across care levels and accurately mapped the care-need characteristics of each grade, reflecting substantial utility value. ConclusionThis tool can classify the care needs of adults with disabilities into five levels, with sound validity and high assessment efficiency; while the resulting service lists for different care levels can be used to guide practical implementation, which can be used for the graded assessment of care needs among adults with disabilities.

Objective:To report the nationwide surveillance results of pathogenic profiles and antimicrobial resistance patterns of Gram-positive bloodstream infections in China in 2023.Methods:The clinical isolates of Gram-posttive bacteria from blood cultures were collected in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System（BRICS）during January to December 2023. Antimicrobial susceptibility testing was performed using the dilution method recommended by the Clinical and Laboratory Standards Institute（CLSI）. Statistical analyses were conducted using WHONET 5.6 and SPSS 25.0 software.Results:A total of 4 385 Gram-positive bacterial isolates were obtained from 60 participating center. The top five pathogens were Staphylococcus aureus（ n=1 544，35.2%），coagulase-negative Staphylococci（ n=1 441，32.9%）， Enterococcus faecium（ n=574，13.1%）， Enterococcus faecalis（ n=385，8.8%），and α-hemolytic Streptococci（ n=187，4.3%）. The prevalence of methicillin-resistant Staphylococcus aureus（MRSA）and methicillin-resistant coagulase-negative Staphylococci（MRCNS）was 26.2%（405/1 544）and 69.8%（1 006/1 441），respectively. Notably，all Staphylococci remained susceptible to glycopeptide or daptomycin. Staphylococcus aureus demonstrated excellent susceptibility（>97.0%）to cephalobiol，rifampicin，trimethoprim-sulfamethoxazole，linezolid，minocycline，tigecycline，and eravacycline. No Enterococcus exhibiting resistance to linezolid were detected. Glycopeptide resistance was uncommon but more frequent in Enterococcus faecium（resistance to vancomycin and teicoplanin：both 1.7%）compared to Enterococcus faecalis（both 0.3%）. The detection rates of MRSA and MRCNS exhibited significant regional variations across the country（ χ2=17.674 and 148.650，respectively，both P<0.001）. No vancomycin-resistant Enterococci were detected in central China. Institutional comparison demonstrated higher prevalence of MRSA（ χ2=14.111， P<0.001）and MRCNS（ χ2=4.828， P=0.028）in provincial hospitals than that in municipal hospitals. Socioeconomic analysis identified elevated detection rates of both MRSA（ χ2=18.986， P<0.001）and MRCNS（ χ2=4.477， P=0.034）in less developed regions（per capita GDP

Objective:To report the results of bacterial resistant investigation collaborative system（BRICS）on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2023，and provide reference for clinical tretment of bloodstream infections and prevention and control of bacterial resistance.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of BRICS were collected during January 2023 to December 2023. 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 were used to analyze the data.Results:During the study period，11 492 strains of Gram-negative bacteria were collected from 60 hospitals，of which 10 098（87.9%）were Enterobacterales and 1 394（12.1%）were non-fermentative bacteria. The top 5 bacterial species were Escherichia coli（50.0%）， Klebsiella pneumoniae（26.1%）， Pseudomonas aeruginosa（5.1%）， Acinetobacter baumannii complex（5.0%）and Enterobacter cloacae complex（4.1%）. The ESBL-producing rates in Escherichia coli， Klebsiella pneumoniae and Proteus mirablilis were 46.8%（2 685/5 741），18.3%（549/2 999）and 44.0%（77/175），respectively. The prevalence of carbapenem-resistant Escherichia coli（CREC）and carbapenem-resistant Klebsiella pneumoniae（CRKP）were 1.3%（76/5 741）and 15.0%（450/2 999）；32.9%（25/76）and 78.0%（351/450）of CREC and CRKP were sensitive to ceftazidime/avibactam combination，respectively. 94.7%（72/76）and 90.2%（406/450）of CREC and CRKP were sensitive to aztreonam/avibactam combination. Furthermore，57.9%（44/76）and 79.1%（356/450）were sensitive to imipenem/relebactam combination. The prevalence of carbapenem-resistant Acinetobacter baumannii（CRAB）complex was 64.6%（370/573），while more than 80.0% of CRAB complex was sensitive to tigecycline，eravacycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa（CRPA）was 17.0%（99/581）. There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of important Gram-negative bacteria resistance among different regions in China，with statistically significant differences in the prevalence of CREC，CRKP，CRPA and CRAB complex（ χ2=10.6，28.6，10.8 and 19.3， P<0.05）. The prevalence of ESBL-producing Escherichia coli， CREC，CRAB complex and CRKP were higher in provincial hospitals than those in municipal hospitals（ χ2=12.5，9.8，12.7 and 57.8，all P<0.01）. Conclusions:Gram-negative bacteria are the main pathogens causing bloodstream infections in China，and Escherichia coli is ranked in the top，while the trend of Klebsiella pneumoniae increases continuously with time. CRKP infection shows a slow upward trend，CREC infecton maintains a low prevalence level，and CRAB complex infection continues to exhibit a high prevalence rate. The composition and resistance patterns of pathogens causing bloodstream infections vary to some extent across different regions and levels of hospitals in China.

Objective:To explore the correlation between abnormal vital signs (e.g., heart rate, oxygen saturation, and body temperature) and acute exacerbations in patients with chronic obstructive pulmonary disease (COPD), as well as to evaluate the clinical value of continuous monitoring via wearable devices for the early warning and intervention.Methods:A multicenter cross-sectional study enrolled 335 patients with stable chronic obstructive pulmonary disease (COPD) from 12 community health centers in Beijing and Chengdu between June 2023 and May 2024. General demographic and clinical data were collected, and each participant underwent continuous monitoring of resting heart rate, oxygen saturation, and body temperature using wearable devices for 21 days. Based on whether participants had experienced acute exacerbations requiring outpatient, emergency, or inpatient treatment within the previous year, they were categorized into the acute exacerbation group and the non-exacerbation group. Differences in physiological parameters between the acute exacerbation group and non-exacerbation group were analyzed, and contributing factors were assessed using logistic regression analysis.Results:A total of 335 patients with stable COPD were enrolled, including 252 cases (75.22%) in the acute exacerbation group and 83 cases (24.78%) in the non-acute exacerbation group. There were no statistically significant differences in age, sex distribution, comorbidities, or baseline lung function between the two groups (all P>0.05). Compared with the non-acute exacerbation group, patients in the acute exacerbation group had a faster resting heart rate((76.01 ± 7.78) beats/min vs. (72.72 ± 7.35) beats/min, t=3.126, P=0.002), a higher proportion of patients with decreased oxygen saturation (1.75% (0.97%, 3.03%) vs. 0.86% (0.44%, 1.65%), Z=11.086, P=0.001), and a higher proportion of patients with elevated body temperature (0.60% (0.39%, 1.03%) vs. 0.31% (0.17%, 0.54%), Z=7.314, P=0.007). Logistic regression analysis showed that advanced age ( OR=1.051, 95% CI: 1.023-1.080), increased heart rate ( OR=1.055, 95% CI:1.013-1.098), decreased oxygen saturation ( OR=1.197, 95% CI:1.023-1.400), and elevated body temperature ( OR=1.777, 95% CI:1.148-2.752) were positively associated factors for acute exacerbation of COPD. Conclusions:Abnormalities in physiological indicators such as heart rate, oxygen saturation, and body temperature are associated with acute exacerbations in COPD patients. Continuous monitoring using wearable devices may provide a new method for early warning and timely intervention in COPD exacerbations.

Objective:To investigate the use of earplugs among noise-exposed workers (Homo sapiens) in Bao'an District, Shenzhen, measure the personal attenuation rating (PAR) of earplugs when wearing earplugs, (Homo sapiens), analyze factors influencing the protective effect of earplugs, and evaluate the role of targeted wearing interventions in improving protective efficacy.Methods:From December 2022 to January 2023, 220 workers in noise-exposed positions from 3 enterprises in Bao'an District, Shenzhen were selected as subjects using the convenience sampling method. The Personal Attenuation Rating (PAR) values of workers wearing earplugs were measured using a fit testing system. Combined with the results of a questionnaire survey, the individual differences in workers' baseline PAR were described. A multivariate logistic regression model was used to analyze the influencing factors for earplugs to achieve the protective effect. One-on-one wearing interventions were implemented for workers who failed to achieve the protective effect, and repeated PAR tests were conducted. The changes in PAR of 120 workers before and after the intervention were compared.Results:The median baseline PAR for 220 workers was 7 (0, 14) dB, and the intervention rate was 54.55% (120/220). There were differences in the baseline PAR of workers with different length of service, earplugs wearing time and experience, daily noise exposure time and intensity, training and the comfort of earplug use ( P<0.05). The results of multivariate regression analysis showed that workers The comfort with earplugs wearing ( OR=2.81, 95% CI: 1.49~5.33, P<0.01) and training ( OR=6.60, 95% CI: 1.70~25.63, P<0.05) were the influencing factors of achieving the protective requirement. The median PAR was increased to 13 (11, 16) dB after intervention. Conclusion:The baseline protective effect of earplugs worn by workers is significantly influenced by comfort and enterprise training. One-on-one interventions can effectively improve the protective efficacy of those who fail to meet the requirements.

Objective This study aims to investigate the work fatigue risks of clinical nursing staff in a tertiary hospital in Xingguo County and analyze the influencing factors,providing a reference for formulating scientific work processes and systems and improving nursing quality.Methods A convenience sampling was conducted to select 179 clinical nurses from a tertiary hos-pital in Xingguo County from March to April 2025.A self-designed general information questionnaire,a clinical nursing staff work fatigue risk assessment questionnaire,and the nurse work stressor scale were used for the investigation.Univariate and multiple linear regression analyses were conducted to identify the influencing factors of work fatigue risks.Results A total of 186 ques-tionnaires were distributed,with 7 excluded as invalid and 179 valid responses(96.24％).The work fatigue risk assessment score of the 179 clinical nurses was(84.39±10.26),indicating a relatively high level of fatigue.There were significant differ-ences in work fatigue risk scores across genders,weekly working hours,years of work experience,contract types,and work stress levels(P＜0.05).Multiple linear regression analysis showed that gender(B=0.624,95％CI=0.194～1.054),weekly work-ing hours(B=0.037,95％CI=0.067～0.007),years of work experience(B=0.028,95％CI=0.010～0.046),contract type(B=-0.517,95％CI=-0.997～-0.037),and work stress(B=0.127,95％CI=0.050～0.204)were the influen-cing factors of work fatigue risks(P＜0.05).Conclusion The work fatigue risks of clinical nursing staff in a tertiary hospital in Xingguo County are at a relatively high level.Gender,weekly working hours,years of work experience,contract type,and work stress are the main influencing factors.Nursing managers should pay attention to these factors and take targeted measures to inter-vene and reduce the work fatigue risks of nursing staff.

Background As a pillar industry in China, the manufacturing sector has a high incidence of non-fatal occupational injuries. The factors influencing non-fatal occupational injuries in this industry are closely related at various levels, including individual, equipment, environment, and management, making the analysis of these influencing factors complex. Objective To identify influencing factors of non-fatal occupational injuries among manufacturing workers, providing a basis for targeted interventions and surveillance. Methods A total of 2243 frontline workers from cable and shipbuilding enterprises were selected as study subjects to investigate the incidence of non-fatal occupational injuries and collect information at four levels: individual, equipment, management, and environment in past 12 months. Data balancing was performed using resampling, and LASSO regression was used to select factors of non-fatal occupational injuries. The influence degree and type of variables were judged based on the magnitude of the estimated coefficients of each variable, where variables with estimated coefficients > 0 are risk factors, and those <0 are protective factors. The area under the receiver operating characteristic (ROC)curve (AUC) was used to test the performance of the model, with an AUC value > 0.7 indicating good model performance. Results Among the 2243 frontline workers, males accounted for 77.7% (1742 out of 2243), with the main age range being 40-49 years old, representing 29.5% (661 out of 2243), 82.7% of the workers (1854 out of 2243) were married, and 55.6% (1248 out of 2243) had a junior middle school education level. The average monthly income for 51.0% (1144 out of 2243) of the workers was between 5000 and 6999 Chinese Yuan. The incidence of non-fatal occupational injuries among the manufacturing workers was 8.4% (189/2243) in the past 12 months. Among the 22 factors associated with the occurrence of non-fatal occupational injuries (P<0.05), 10 were individual-level factors, including gender, smoking, alcohol consumption, colleague relationships, average exercise duration, job burnout, work fatigue, musculoskeletal disorders, cardiovascular diseases, and neurological and sensory organ diseases; 3 were equipment-level factors, including equipment operability, hazardous workpieces, and safety hazards; 5 were environmental-level factors, including low temperatures, special operations, noise, workspace size, and dirty and disorderly environment; and 4 were management-level factors, including daily working hours, weekly working days, overtime, and pre-job technical training. The AUC value of the LASSO regression model was 0.704 and the final model retained a total of 10 variables. Among them, there were 7 risk factors for non-fatal occupational injuries (coefficient > 0), including safety hazards, musculoskeletal disorders, dangerous workpieces, job burnout, dirty and disorderly environment, smoking, and male gender; and 3 protective factors (coefficient < 0), including pre-job technical training, good colleague relationship, and long working days per week. Conclusion Manufacturing enterprises need to focus on the incidence of non-fatal occupational injuries and conduct targeted interventions for non-fatal occupational injuries by controlling potential safety hazards, providing pre-job technical training, reducing dangerous workpieces, rectifying working environment, and reasonably arranging working hours.

Background Diseases severely affect the efficiency of workers. Comorbidity refers to the coexistence of two or more chronic diseases or health problems in the same individual. Previous studies have primarily focused on occupational injuries caused by environmental exposures, while the analysis of the epidemiological characteristics of self-reported diseases and occupational injuries among manufacturing workers has been insufficient. Objective To analyze the distribution of self-reported diseases and occupational injuries among manufacturing workers, the strength of correlation between different diseases, and common disease combinations, and to preliminarily explore the relationship between self-reported diseases and occupational injuries. Methods A cross-sectional survey was conducted to investigate the occupational injuries of 2382 workers in 2 manufacturing enterprises over the past year, and 2355 questionnaires were valid after cleaning. The questionnaire included three parts: basic information, occupational injury occurrence, and disease prevalence. The self-reported diseases diagnosed by physicians included musculoskeletal diseases, cardiovascular diseases, respiratory diseases, mental health problems, neurological and sensory organ diseases, digestive organ diseases, reproductive and urinary organ diseases, skin diseases, tumors, endocrine and metabolic system diseases, blood diseases and birth defects, a total of 11 types. Log-binomial model was used to calculate the prevalence ratio (PR) value of the association between different diseases, and UpSet diagram was used to present the disease combination pattern. Results In total, 40.2% (946/2355) of the study participants reported at least one disease, while 8.6% (203/2355), 5.2% (122/2355), and 5.9% (140/2355) reported having two, three, and four or more diseases, respectively. A higher prevalence was observed for musculoskeletal diseases, neurological and sensory organ diseases, digestive organ diseases, and skin diseases, which accounted for 18.0% (423/2355), 13.8% (324/2355), 9.3% (218/2355), and 9.1% (214/2355), respectively. Workers with musculoskeletal disorders, cardiovascular diseases, or neurological and sensory organ diseases reported significantly higher incidence of occupational injuries compared with workers without the corresponding diseases (P<0.001, P=0.041, and P=0.006, respectively). Musculoskeletal diseases were strongly associated with comorbidities of neurological and sensory organ diseases (PR values were 1.86 and 1.98, respectively), and the other patters were musculoskeletal diseases and digestive organ diseases (PR and OR values were 1.57 and 2.35, respectively), and musculoskeletal diseases and cardiovascular diseases (PR and OR values were 1.46 and 2.22, respectively). The largest binomial comorbidity group involved musculoskeletal diseases and neurological and sensory organ diseases, accounting for 5.4% (25/465) of the comorbid workers. Conclusion Among the self-reported diseases of manufacturing workers, musculoskeletal diseases, neurological and sensory organ diseases, digestive organ diseases, and skin diseases are more common. Musculoskeletal diseases and neurological and sensory organ diseases are the most common in all comorbidities. Musculoskeletal diseases, cardiovascular diseases, and neurological and sensory organ diseases are associated with occupational injuries. In the prevention and control of occupational injuries, joint prevention strategies targeting multiple diseases should be strengthened.