OBJECTIVE: To observe the effects of electroacupuncture (EA) on improving motor function and regulating microglial activation based on Notch receptor 1 (Notch1)/Hes family bHLH transcription factor 1 (Hes1) pathway in mice with Parkinson's disease (PD). METHODS: Thirty-six male C57BL/6 mice were randomly divided into a control group, a model group and an EA group, 12 mice in each group. PD model was established by intraperitoneal injection of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) for 7 consecutive days in the model group and the EA group. From the 1st day of modeling, EA was applied at "Baihui" (GV20) and bilateral "Shenshu" (BL23) in the EA group, with continuous wave, in frequency of 2 Hz and current of 2 mA, 15 min a time, once a day for 14 days continuously. The behavioral performance was evaluated by gait test, pole climbing test and hanging test, the number of positive cells of tyrosine hydroxylase (TH) and the co-expression positive cells of Notch1/ionized calcium binding adaptor molecule 1 (Iba-1) in the substantia nigra of midbrain was assessed by immunofluorescence, the protein expression of TH, α-synuclein (α-syn), Notch1, Hes1, Iba-1, inducible nitric oxide synthase (iNOS), Arginase-1 (ARG1), tumor necrosis factor-α (TNF-α), interleukin (IL)-1β, IL-6 and IL-10 was detected by Western blot, the mRNA expression of Notch1 and Hes1 was detected by real-time PCR. RESULTS: Compared with the control group, in the model group, the stride frequency was accelerated (P<0.001) and the stride length was shortened (P<0.001) for the four limbs, the pole climbing test time was prolonged (P<0.01) and the grip level was reduced (P<0.01); in the substantia nigra of midbrain, the number of positive cells of TH was decreased (P<0.001), the number of co-expression positive cells of Notch1/Iba-1 was increased (P<0.001), the protein expression of α-syn, Notch1, Hes1, Iba-1, iNOS, TNF-α, IL-1βand IL-6 was increased (P<0.01, P<0.05, P<0.001), the protein expression of TH, ARG1 and IL-10 was decreased (P<0.01, P<0.001), the mRNA expression of Notch1 and Hes1 was increased (P<0.01). Compared with the model group, in the EA group, the stride frequency was decelerated (P<0.001) and the stride length was increased (P<0.05, P<0.01, P<0.001) for the four limbs, the pole climbing test time was shortened (P<0.05) and the grip level was increased (P<0.05); in the substantia nigra of midbrain, the number of positive cells of TH was increased (P<0.01), the number of co-expression positive cells of Notch1/Iba-1 was decreased (P<0.001), the protein expression of α-syn, Notch1, Hes1, Iba-1, iNOS, TNF-α, IL-6 and IL-1β was decreased (P<0.05, P<0.01), the protein expression of TH, ARG1 and IL-10 was increased (P<0.05, P<0.001, P<0.01), the mRNA expression of Notch1 and Hes1 was decreased (P<0.05). CONCLUSION EA can improve the behavioral performance and protect the dopaminergic neurons in PD mice, its mechanism may relate to the inhibition of Notch1/Hes1-mediated neuroinflammation, thus inhibiting the microglial activation.
Animals ; Electroacupuncture ; Microglia/metabolism* ; Male ; Receptor, Notch1/metabolism* ; Parkinson Disease/physiopathology* ; Transcription Factor HES-1/metabolism* ; Mice ; Mice, Inbred C57BL ; Humans ; Signal Transduction

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 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.

In the era of big data,artificial intelligence(AI)technology has developed rapidly,with medical field being one of its most deeply penetrated application domains.Leveraging the advantages of big data and AI requires the sharing and integration of medical data,yet balancing privacy protection and data sharing poses significant challenges.This paper analyzes the focus issues of patient privacy and data security in medical AI from a global perspective across 6 dimensions:challenges in data sovereignty and cross-border flow compliance,technical vulnerabilities in de-anonymization and re-identification risks,failure of informed consent mechanisms and dynamic authorization needs,regulatory gaps in algorithmic"black boxes"and data misuse,technological dependency and supply chain security risks,and the dilemma of balancing privacy protection with public health interests.Corresponding solutions and strategies are also proposed.

Objective To investigate the prognostic value of the platelet-to-lymphocyte ratio(PLR)at different early time points in adult patients undergoing veno-arterial extracorporeal membrane oxygenation(VA-ECMO).Methods A retrospective study was conducted,selecting 55 adult patients who underwent VA-ECMO treatment at the First Hospital of Jiaxing from June 2020 to October 2022 as the study subjects.Then,the patients'gender,age,past history[including hypertension,diabetes,heart disease,chronic obstructive pulmonary disease(COPD)],and the reason for extracorporeal membrane pulmonary oxygenation(ECMO)adjuvant therapy[including severe myocarditis,acute myocardia infarction,in-hospital and out-of-hospital cardiac arrest,severe closed craniocerebral injury,severe pneumonia,pelvic fracture,other(pulmonary embolism,electrocution,traumatic hepatic rupture,post-partum hemorrhage,severe acute pancreatitis,crush syndrome)],acute physiology and chronic health evaluationⅡ(APACHEⅡ),sequential organ failure assessment(SOFA)at the time of admission,and ECMO peripheral blood tests[creatinine,alanine aminotransferase(ALT),aspartate aminotransferase(AST),blood lactate acid(Lac),white blood cell count(WBC),neutrophil count(NEU),lymphocyte count(LYM),hemoglobin(Hb),and platelet count(PLT)]and the last time prior to ECMO assistance,24 hours prior to the occurrence of acute kidney injury(AKI),and 24 hours after the occurrence of AKI.PLR levels at 24 hours ECMO,and the proportion of continuous renal replacement therapy(CRRT).The patients were divided into a death group and a survival group based on their 30-day prognosis and further categorized into a CRRT group and a non-CRRT group based on whether CRRT was administered.Clinical indicators of patients with different prognosis and the differences in PLR levels between CRRT and non-CRRT groups were compared.Logistic regression analysis was used to identify independent risk factors affecting the 30-day prognosis of VA-ECMO patients.The receiver operator characteristic(ROC curves)were plotted to evaluate the prognostic predictive value of each risk factor.Results Compared to the survival group,the death group had significantly higher APACHEⅡscores,SOFA scores,LYM and proportion receiving CRRT[APACHEⅡscore:34.00(28.50,36.00)vs.25.00(14.75,34.00),SOFA score:5.00(4.00,6.50)vs.3.00(2.00,5.25),LYM(×109/L):3.40±1.97 vs.2.24±2.11,proportion receiving CRRT:91.30%(21/23)vs.62.50%(20/32)],and a significantly lower level of the last PLR prior to ECMO adjuvant[30.00(21.06,48.17)vs.58.82(41.80,145.72)],and the differences were statistically significant(all P<0.05).Logistic regression analysis showed that the levels of the last PLR before ECMO assistance[odds ratio(OR)=0.965,95%confidence interval(95%CI)was 0.938-0.993,P=0.013],APACHEⅡscore at the time of admission(OR=1.121,95%CI was 1.018-1.234,P=0.020),and CRRT(OR=7.734,95%CI was 1.042-57.401,P=0.045)were independent risk factors affecting the prognosis of the VA-ECMO patients at 30 days after adjuvant;the ROC curve analysis showed that APACHEⅡscore,CRRT and the last PLR level before ECMO assistance had a predictive value for the prognosis of VA-ECMO patients 30 days after assistance,in which the APACHEⅡscore+the last PLR level before ECMO assistance had the greatest predictive value in predicting the prognosis of the patients,with area under the curve(AUC)of 0.846,with a sensitivity of 62.5%and a specificity of 95.7%.Higher early PLR levels were associated with better prognosis.In the CRRT group,PLR levels at 24 hours before ECMO initiation,24 hours before AKI onset,and 24 hours after AKI onset were significantly lower than those in the non-CRRT group(all P<0.05).Conclusion Early PLR levels and CRRT administration have significant predictive value for the prognosis of patients undergoing VA-ECMO therapy.