ObjectiveTo clarify the graded quantitative diagnostic characteristics of lung qi deficiency syndrome in chronic obstructive pulmonary disease （COPD） based on latent class analysis combined with a hidden structure model. MethodsClinical data， including the four diagnostic methods of traditional Chinese medicine （TCM）， were collected from 745 COPD patients with lung qi deficiency syndrome. Latent class modeling was performed using R 4.1.2 software， and each patient was classified into one of three severity categories （mild， moderate， or severe） based on probabilistic parameterization， parameter estimation， and model fitting. A database was established for different severity levels of lung qi deficiency syndrome. Based on this， Lantern 5.0 software was used to construct hidden structure models for mild， moderate， and severe lung qi deficiency syndrome， and syndrome differentiation rules were developed through comprehensive clustering. ResultsA latent class model was constructed using 28 symptoms and signs with a frequency greater than 10%. Considering TCM theory and model simplicity， the optimal model was determined when the number of latent classes was three， categorizing lung qi deficiency syndrome into mild （298 cases）， moderate （164 cases）， and severe （283 cases）. Hidden structure models were separately developed for each severity level， and syndrome differentiation rules were established. A comparison of common symptoms in the syndrome differentiation rules for mild and moderate lung qi deficiency syndrome showed no statistically significant differences in diagnostic values and weights （P＞0.05）， leading to their combined analysis and the development of a unified syndrome differentiation rule. Value and weight of quantitative diagnosis of mild-to-moderate lung qi deficiency syndrome were as followed： shortness of breath （diagnostic value 9.3， diagnostic weight 86.92%）， dyspnea on exertion （8.2， 76.64%）， low voice and reluctance to speak （6.7， 62.62%）， poor appetite （4.0， 37.38%）， loose stools （4.0， 37.38%）， weak cough sound （2.9， 27.10%）， wheezing （2.3， 21.50%）， fatigue （1.8， 16.82%）， spontaneous sweating （1.7， 15.89%）， susceptibility to colds （1.6， 14.95%）， swollen tongue （1.4， 13.08%）， teeth marks on the tongue edge （1.2， 11.21%）， deep pulse （1.6， 14.95%）， with a diagnostic threshold of 10.3. Value and weight of quantitative diagnosis of severe lung qi deficiency syndrome were as followed： weak cough sound （15.1， 61.13%）， soreness and weakness of the waist and knees （12.6， 51.01%）， shortness of breath （11.1， 44.94%）， low voice and reluctance to speak （8.3， 33.60%）， frequent nocturia （6.1， 24.70%）， spontaneous sweating （3.7， 14.98%）， susceptibility to colds （3.5， 14.17%）， teeth marks on the tongue edge （7.8， 31.58%）， pale tongue body （1.9， 7.69%）， white tongue coating （5.5， 22.27%）， thin pulse （1.5， 6.07%）， with a diagnostic threshold of 23.7. ConclusionThe combination of latent class analysis and a hideen structure model effectively clarified the graded quantitative diagnostic characteristics of lung qi deficiency syndrome， providing a reference for the quantitative diagnosis of other fundamental syndromes in TCM.

Objective To assess the current state and influencing factors of multi-site work-related musculoskeletal disorders (WMSDs) among front-line employees in the assembly workshop of an automobile manufacturing enterprise. Methods A total of 394 front-line workers in the assembly workshop of an automobile manufacturing enterprise in Beijing City were selected as the research subjects using the judgmental sampling method. The Chinese version Musculoskeletal Disorders Questionnaire was used to assess the presence of WMSDs over the past 12 months in nine body regions: neck, shoulders, upper back, lower back, elbows, wrists, hips and thighs, knees, ankles and feet. The multivariable logistic regression was employed to investigate the influencing factors. Results The detection rate of overall WMSDs was 32.7% (129/394), with the top three single-site WMSDs being in the neck, shoulders, and lower back, and their detection rates were 14.0%, 12.7% and 9.6%, respectively. The detection rate of multi-site WMSDs was 17.8% (70/394). The result of multivariable logistic regression analysis revealed that workers who turned or bent their upper body while keeping their legs stationary, frequently performed wrist flexion/extension/lateral bending/rotation, or stood for prolonged period of time had significantly higher risks of developing multi-site WMSDs compared with those who did not (all P<0.05). Workers who perceived uncomfortable workplace lighting had higher risk of multi-site WMSDs than those who perceived it as comfortable (P<0.01). Conclusion The development of multi-site WMSDs among workers in the assembly workshop of this automobile manufacturing enterprise is strongly related to poor working postures at work.

Background During urbanization, the passenger load on urban public transport systems continues to increase, exposing bus drivers to a high risk of musculoskeletal disorders (MSDs). This occupational health issue may also potentially compromise public transport safety. Objective To investigate the prevalence of MSDs among bus drivers in a first-tier city and to explore associated influencing factors. Methods A self-administered questionnaire survey was conducted from December 2024 to March 2025 among 1300 bus drivers in a bus company. Data were collected on general demographic information, occupational activities, and MSDs indicators. A total of 1268 valid questionnaires were returned, yielding a response rate of 97.5%. Descriptive statistics were used to analyze the distribution characteristics of MSDs. Pearson χ² tests were employed to examine the association between MSDs prevalence and individual/occupational characteristics. Logistic regression was performed to identify the influencing factors of MSDs. Results The survey revealed that the prevalence of MSDs among the bus drivers was 28.5%, with the highest prevalence in the 41–50 years age group (30.5%). The conditions primarily affected the cervical spine (60.5%) and lumbar spine (61.9%), with some cases involving multiple sites. The logistic regression model indicated that the following factors were associated with a higher risk of MSDs: frequent smoking (OR=1.477), poor or moderate self-reported health status (OR=4.422), 11–20 years of service (OR=1.749), daily cumulative driving time ≥361 min (OR=1.616), frequent whole-body fatigue during driving (OR=2.077), occasional whole-body fatigue during driving (OR=1.873), feeling tense during driving (OR=1.518), fatigue after work (OR=2.485), work-related stress (OR=1.882), and prolonged smartphone use with head-down posture (OR=1.671). Conversely, occasional exercise (OR=0.713)/frequent exercise (OR=0.569), driving intervals ≥21 min per round (OR=0.645), and perceiving the driving seat comfortable (OR=0.429) were associated with a lower risk of MSDs. Conclusion Physical exercise, smoking, years of service, daily cumulative driving time, driving intervals per round, prolonged smartphone use with head-down posture, self-reported health status, and psychological factors such as work-related stress are influencing factors for MSDs among bus drivers. Drivers should increase physical exercise and change unhealthy living habits. Employers should optimize working conditions, arrange reasonable driving schedules, and foster a positive work environment to reduce MSDs prevalence.

Background During urbanization, the passenger load on urban public transport systems continues to increase, exposing bus drivers to a high risk of musculoskeletal disorders (MSDs). This occupational health issue may also potentially compromise public transport safety. Objective To investigate the prevalence of MSDs among bus drivers in a first-tier city and to explore associated influencing factors. Methods A self-administered questionnaire survey was conducted from December 2024 to March 2025 among 1300 bus drivers in a bus company. Data were collected on general demographic information, occupational activities, and MSDs indicators. A total of 1268 valid questionnaires were returned, yielding a response rate of 97.5%. Descriptive statistics were used to analyze the distribution characteristics of MSDs. Pearson χ² tests were employed to examine the association between MSDs prevalence and individual/occupational characteristics. Logistic regression was performed to identify the influencing factors of MSDs. Results The survey revealed that the prevalence of MSDs among the bus drivers was 28.5%, with the highest prevalence in the 41–50 years age group (30.5%). The conditions primarily affected the cervical spine (60.5%) and lumbar spine (61.9%), with some cases involving multiple sites. The logistic regression model indicated that the following factors were associated with a higher risk of MSDs: frequent smoking (OR=1.477), poor or moderate self-reported health status (OR=4.422), 11–20 years of service (OR=1.749), daily cumulative driving time ≥361 min (OR=1.616), frequent whole-body fatigue during driving (OR=2.077), occasional whole-body fatigue during driving (OR=1.873), feeling tense during driving (OR=1.518), fatigue after work (OR=2.485), work-related stress (OR=1.882), and prolonged smartphone use with head-down posture (OR=1.671). Conversely, occasional exercise (OR=0.713)/frequent exercise (OR=0.569), driving intervals ≥21 min per round (OR=0.645), and perceiving the driving seat comfortable (OR=0.429) were associated with a lower risk of MSDs. Conclusion Physical exercise, smoking, years of service, daily cumulative driving time, driving intervals per round, prolonged smartphone use with head-down posture, self-reported health status, and psychological factors such as work-related stress are influencing factors for MSDs among bus drivers. Drivers should increase physical exercise and change unhealthy living habits. Employers should optimize working conditions, arrange reasonable driving schedules, and foster a positive work environment to reduce MSDs prevalence.

OBJECTIVE To observe the clinical efficacy of Erdong Xiaoke Formula in the treatment of type 2 diabetes dry eyes with yin deficiency and heat excess syndrome and its effect on serum interleukin 17(IL-17)and interleukin 1β(IL-1β),and to ex-plore the therapeutic mechanism of Erdong Xiaoke Formula.METHODS 110 cases of type 2 diabetes patients with dry eyes of yin deficiency and heat excess syndrome from Jiangsu Province Hospital of Chinese Medicine were enrolled and randomly divided into a treatment group and a control group,55 cases each.5 cases dropped out of the treatment group and 4 cases dropped out of the control group.The control group was given a basic hypoglycemic regimen combined with topical sodium hyaluronate eye drops.The treatment group was given Erdong Xiaoke Formula in addition to the treatment in the control group.The treatment course for both groups was 4 weeks.Changes in TCM syndrome scores of the two groups of patients were observed before and after treatment,and the clinical effica-cy of TCM was evaluated.Blood glucose and pancreatic islet function-related indicators[fasting blood glucose(FBG),fasting insulin(FINS),fasting C-peptide(FCP),postprandial 2 h blood glucose(PBG),insulin secretion function index(HOMA-β),insulin re-sistance index(HOMA)-IR)],ocular surface indicators[tear break up time(BUT),corneal sodium fluorescein staining(FL),Schirmer Ⅰ test(SⅠT)],and inflammation-related indicators(IL-17,IL-1β)were detected.The occurrence of adverse reactions in the two groups of patients was observed during the treatment period.RESULTS After treatment,the total scores of TCM syn-dromes in both groups were significantly reduced(P＜0.01),the treatment group was better than the control group(P＜0.01),and the total effective rate of TCM syndromes in the treatment group was higher than that of the control group(P＜0.01);SⅠT and BUT of pa-tients in both groups increased significantly(P＜0.01),and the treatment group was better than the control group(P＜0.05,P＜0.01);the FL of patients in both groups significantly reduced(P＜0.01),and there was no significant difference between the groups;the ser-um IL-17 and IL-1β of the patients in the treatment group decreased significantly(P＜0.01),which was significantly better than that of the control group(P＜0.05).There were no significant changes in blood glucose and pancreatic islet function-related indicators in the two groups before and after treatment(P＞0.05).During the treatment,no obvious adverse reactions were observed in the two groups.CONCLUSION Erdong Xiaoke Formula can improve SⅠT,BUT,FL and eye symptoms in patients with diabetic dry eye,effectively treat diabetic dry eye,and reduce ocular surface inflammation.Its mechanism may be related to reducing serum inflammato-ry factors IL-17 and IL-1β.

Objective:To investigate the research status and hotspots of Linggui Zhugan Decoction.Methods:The research literature about Linggui Zhugan Decoction was retrieved from CNKI, VIP, Wanfang Data and CBM databases from January 1, 2000 to July 11, 2023. NoteExpress 3.8 software was used to merge and remove the weight, and CiteSpace 6.2.R4 software was used to analyze the author, research institution, key words and draw the knowledge map.Results:A total of 1 521 articles were included, and the number of published papers showed a fluctuating upward trend. The main source journals were Chinese Journal of Urban and Rural Enterprise Hygiene, Acta Chinese Medicine, Information of Traditional Chinese Medicine, etc. The main research institutions were Tianjin University of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Shandong University of Traditional Chinese Medicine, etc. Among the most published papers were Huang Jinling from Anhui University of Chinese Medicine (22 articles), Wang Liang from the Institute of Integrated Chinese and Western Medicine of Anhui Academy of Chinese Medicine (14 articles) and Shi Hui from Anhui University of Chinese Medicine (10 articles); high-frequency keywords included chronic heart failure, vertigo, clinical efficacy and so on. Conclusions:The research on Linggui Zhugan Decoction focuses on the clinical research of circulatory system, respiratory system, digestive system and urinary system. The research focus has gradually developed from clinical study, prescription composition and efficacy study, network pharmacology study, mechanism and related theory exploration of prescriptions to clinical practical application.

End-stage liver diseases,such as cirrhosis and liver cancer caused by hepatitis B,are often combined with hepatic encephalopathy(HE);ammonia poisoning is posited as one of its main pathogenesis mechanisms.Ammonia is closely related to autophagy,but the molecular mechanism of ammonia's regulatory effect on autophagy in HE remains unclear.Sialylation is an essential form of glycosylation.In the nervous system,abnormal sialylation affects various physiological processes,such as neural development and synapse formation.ST3 β-galactoside α2,3-sialyltransferase 6(ST3GAL6)is one of the significant glycosyltransferases responsible for adding α2,3-linked sialic acid to substrates and generating glycan structures.We found that the expression of ST3GAL6 was upregulated in the brains of mice with HE and in astrocytes after ammonia induction,and the expression levels of α2,3-sialylated glycans and autophagy-related proteins microtubule-associated protein light chain 3(LC3)and Beclin-1 were upregulated in ammonia-induced astrocytes.These findings suggest that ST3GAL6 is related to autophagy in HE.Therefore,we aimed to determine the regulatory relationship between ST3GAL6 and autophagy.We found that silencing ST3GAL6 and blocking or degrading α2,3-sialylated glycans by way of Maackia amurensis lectin-Ⅱ(MAL-Ⅱ)and neuraminidase can inhibit autophagy.In addition,silencing the expression of ST3GAL6 can downregulate the expression of heat shock protein β8(HSPB8)and Bcl2-associated athanogene 3(BAG3).Notably,the overexpression of HSPB8 partially restored the reduced autophagy levels caused by silencing ST3GAL6 expression.Our results indicate that ST3GAL6 regulates autophagy through the HSPB8-BAG3 complex.

Objective Based on the U.S.Food and Drug Administration Adverse Event Reporting System(FAERS)database,data mining was conducted on hematological adverse events related to antibody drug conjugates(ADC),providing reference for the safe use of ADC drugs in clinical practice.Methods The report data from the third quarter of 2011 to the fourth quarter of 2022 were retrieved from the FAERS database.After data cleaning such as deduplication and name standardization,extract hematological adverse events related to ADC,and use report odds ratio method and the information component method for signal detection.Results A total of 101 610 adverse event reports were extracted,with 8 ADC drugs as the primary suspected drugs,and 5 768 ADC related hematological adverse event reports.Among them,3 423 cases of agranulocytosis were involved,and the signal intensity from strong to weak were sacituzumab govitecan(SG),gemtuzumab ozogamicin(GO),brentuximab vedotin(BV),polatuzumab vedotin(PV),enfortumab vedotin(EV),trastuzumab deruxtecan(TD),inotuzumab ozogamicin(IO)and ado-trastuzumab emtansine(TDM-1).There were 2 327 cases hematopoietic cell deficiency,with signals ranging from strong to weak were IO,SG,BV,EV,PV,TD,TDM-1,and GO.Report with clinical outcome of death of ADC drug related hematological adverse events included BV 179(16.84％),TDM-1 102(13.01％),TD 88(27.08％),GO 12(16.90％),IO 8(11.59％),EV 54(24.32％),PV 22(27.16％),and SG 84(21.05％).Adverse event time analysis showed that the number of events on the first day of TD,IO,and SG medication accounts for ≥ 40％of the total number of cases.The median time of hematological adverse events in TD,GO,IO,EV,PV,and SG was within one treatment course(21 days).Conclusion Attention should be paid to the risk of ADC drug-related hematological adverse event,during the clinical medication process,blood cell count changes should be closely monitored,and any abnormalities should be promptly diagnosed and treated.

Objective:To explore any effect of repeated transcranial magnetic stimulation (rTMS) on the upper limb motor function and cerebral cortex activation of stroke survivors.Methods:Sixty stroke survivors were randomly divided into an intervention group and a control group, each of 30. In addition to routine rehabilitation training (including drug therapy, comprehensive hemiplegic limb training and physical factor therapy), the intervention group received 15 minutes of rTMS daily, five days a week for 4 weeks while the control group was given false rTMS. Upper limb motor function was evaluated before and after the treatment using the Fugl Meyer upper limb motor function rating scale (FMA-UE). Functional near-infrared spectroscopy was used to detect and compare the activation (β values) of the prefrontal cortex, the motor cortex and the primary somatosensory cortex in the 2 groups. The correlation between the FMA-UE scores and the β values was quantified.Results:①There was no significant difference in the average FMA-UE scores between the two groups before the treatment. Afterward, though both groups′ average scores had increased significantly, there was significantly greater improvement in the treatment group. ②There was also no significant difference in average β value between the two groups before the experiment, but afterward the average βs of channels 27 and 13 in the intervention group were significantly higher than in the control group. Moreover, in patients with lesion in the left brain, the β-values of CH27 and CH13 were also significantly higher than the control group ( P<0.05). ③The FMA-UE scores of the intervention group were moderately correlated with the CH27 and CH13 β values, but those of the control group were only weakly correlated with the β values of CH27. Conclusion:Transcranial magnetic stimulation activates a lesioned left brain region, improving upper limb motor function. The improvement is correlated with the activation of the left prefrontal cortex and the left primary somatosensory cortex.

Objective:To prepare rabbit polyclonal antibodies against respiratory syncytial virus (RSV) N protein and use them as the detection antibodies to establish a N-ELISA-based method for rapid detection of neutralizing antibodies.Methods:A plasmid of pET30a-N for the expression of RSV N protein was constructed. After purification, the protein was immunized into New Zealand rabbits to prepare polyclonal antibodies, which were used as the detection antibodies. Positive serum samples were diluted and used to neutralize RSV (100 TCID 50/well). Hep-2 cells were inoculated and cultured, and then the cells were fixed with 80% acetone. ELISA was performed to detect RSV N protein in infected cells. When the absorbance value of a well was below the cut-off value, it was regarded as the positive well in the neutralization test. The highest dilution of a positive well serum was the neutralizing antibody titer. After optimizting the antibody dilution, detection time, cell density and the duration of neutralization, the method for neutralizing antibody detection was established based on N-ELISA. The established method was verified by analyzing the influences of different cell generations and edge effects, and calculating the accuracy, repeatability and precision. The correlation between the established method and microneutralization method was analyzed by detecting human RSV IgG-positive serum. Results:The plasmid pET30a-N was successfully constructed, and the expressed N protein showed high purity and good specificity. After the third immunization, the antibody titer in rabbit serum was 1∶51 200, and the antibodies could specifically bind to RSV. The prepared rabbit anti-RSV N polyclonal antibodies had a titer of 1∶51 200, and showed good specificity. The neutralizing antibodies could be detected on day 4 with the established method, and the duration of neutralization was shortened to 30 min. Cell generations and the position of wells in the 96-well plate (edge well and non-edge well) had no significant effect on the method, and the repeatability, precision and accuracy of the method were good. In the detection of 64 RSV IgG-positive human serum samples by the established method and microneutralization method, the correlation coefficient was 0.929 6, indicating a good positive correlation between the two methods.Conclusions:A N-ELISA-based method for rapid neutralizing antibody detection is successfully established, which can be used to evaluate the serum antibody level after RSV vaccination.