ObjectiveTo investigate the association of physical activity and balance ability with disability, and to further examine the mediating role of balance ability in the relationship between physical activity and disability. MethodsBased on data from 2021 to 2023 National Health and Nutrition Examination Survey (NHANES) cycle, a multivariable Logistic regression model was constructed to evaluate the independent association of physical activity and balance ability with disability, with covariates adjusted in four steps. An interaction model was further developed to assess the multiplicative interaction between physical activity and balance ability. Mediation analysis was performed using the Baron and Kenny three-step approach to examine the mediating role of balance ability, and the proportion of the mediation effect was calculated. The significance of the mediation effect was assessed using the Delta method, and robustness was verified through the Bootstrap method with a fixed random seed. Multiple sensitivity analyses were conducted to ensure the stability of the results. ResultsA total of 3 902 participants were included, with a prevalence of disability of 17.7%. Multivariable regression analysis showed that, after adjusting for all covariates, both light-intensity physical activity (LIPA) (OR = 0.489, 95%CI 0.380 to 0.629, P < 0.001) and high-intensity physical activity (HIPA) (OR = 0.493, 95%CI 0.371 to 0.656, P < 0.001) were significantly associated with a reduced risk of disability, whereas impaired balance ability was significantly associated with an increased risk (OR = 1.579, 95%CI 1.266 to 1.970, P < 0.001). The interaction effect analysis showed that the interaction between physical activity and balance ability were not significant (P > 0.05), however, the main effect of LIPA remained robust (β = -0.597, SE = 0.221, OR = 0.550, P = 0.007), while impaired balance ability was significantly associated with an increased risk of disability (β = 0.577, SE = 0.231, OR = 1.780, P = 0.012). The mediation analysis further indicated that balance ability played a robust mediating role in the association between LIPA and disability, with a mediation proportion of 21.1%. The indirect effect (a × b) was statistically significant (P < 0.001), and the 95% confidence intervals derived from the bootstrap method did not include zero. ConclusionPhysical activity and balance ability are significantly associated with disability, and balance ability may mediate the relationship between physical activity and disability, highlighting its potential value in disability risk assessment and intervention strategies.

Medical artificial intelligence （AI） is a new type of application formed by the combination of machine learning， computer vision， natural language processing， and other technologies with clinical medical treatment. With the continuous iteration and development of relevant technologies， medical AI has shown great potential in improving the efficiency of diagnosis and treatment， and service quality， but it also increases the possibility of triggering ethical issues. Ethical issues resulting from the clinical application of medical AI were analyzed， including the lack of algorithmic interpretability and transparency of medical AI， leading to information asymmetry and cognitive discrepancies； the concerning status of security and privacy protection of medical data； and the complex and unclear division of responsibilities due to the collaborative participation of multiple subjects in the clinical application of medical AI， resulting in increased difficulty in the identification of medical accidents and clarification of responsibilities. The paper proposed the principles of not harming patients’ interests， physician’s subjectivity， fairness and inclusiveness， and rapid response. It also explored the strategies and implementation paths for responding to the ethical issues of medical AI from multiple perspectives， including standardizing the environment and processes， clarifying responsibility attribution， continuously assessing the impact of data protection， guaranteeing data security， ensuring model transparency and interpretability， carrying out multi-subject collaboration， as well as the principles of being driven by ethical values and adhering to the “human health-centeredness.” It aimed to provide guidance for the healthy development of medical AI， ensuring technological progress while effectively managing and mitigating accompanying ethical risks， thereby promoting the benign development of medical AI technology and better serving the healthcare industry and patients.

AIM: To assess the stability of the tear film and the characteristics of corneal nerves in patients with Parkinson's disease(PD).METHODS: This cross-sectional observational study included 72 PD patients and 50 healthy controls. Disease severity was determined using the Hoehn-Yahr(H-Y)scale, dividing patients into mild and moderate PD groups. Dry eye symptoms were evaluated via the ocular surface disease index(OSDI)questionnaire, while tear secretion was quantified using the Schirmer I test. Ocular surface damage was assessed through staining scores, and comprehensive ocular examinations were performed utilizing the LipiView ocular surface interferometer and an ocular surface analyzer. Corneal nerve parameters were examined using corneal confocal microscopy in conjunction with automated analysis software ACCMetrics, with correlations drawn between these parameters, PD course, and severity.RESULTS: PD patients exhibited significantly elevated OSDI scores, indicative of more pronounced dry eye symptoms compared to the control group(F=70.290, P<0.01). Tear film stability was markedly compromised, with significantly shorter tear film breakup time and increased corneal fluorescein staining, both showing statistically significant differences relative to controls(all P<0.01). Tear secretion indices, including Schirmer I test results and tear meniscus height, were significantly reduced in PD patients(all P<0.01), whereas lipid secretion indices, such as lipid layer thickness and meibomian gland dropout score, did not show significant variation. Corneal nerve analysis revealed significant reductions in corneal nerve fiber density, nerve branch density, fiber length, and total branch density in PD patients compared to controls(all P<0.01). Furthermore, blink frequency was markedly prolonged(F=62.353, P<0.01). Correlation analysis demonstrated a significant relationship between alterations in tear film stability and both disease duration and H-Y scores.CONCLUSION: PD patients have obvious dry eye manifestations in the early stage of the disease, including the reduction of tear film stability and corneal nerve fiber density, and gradually aggravate with the progress of the disease. Neurodegenerative disease-related dry eye needs to be diagnosed early and actively treated.

OBJECTIVE To explore the effects of CD20 coding gene （MS4A1） polymorphism on the blood concentration and efficacy of rituximab in patients with non-Hodgkin’s lymphoma. METHODS A prospective observational study was conducted on 160 newly diagnosed non-Hodgkin’s lymphoma patients who received the R-CHOP regimen at the Sun Yat Sen University Cancer Center from January 2016 to December 2020， with a minimum follow-up period of approximately 5 years. The blood concentration of rituximab was detected by enzyme-linked immunosorbent assay. MS4A1 tagSNPs were selected by Haploview4.2 software， including rs1051461， rs17155034， rs4939364， and rs10501385. The genotype of MS4A1 was detected by Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Univariate linear regression analysis was employed to examine the correlation between various factors（demographic， clinical， and genotypic variables） in patients and the steady-state trough concentration of rituximab during the first course of treatment， followed by multivariate linear regression analysis. Kaplan-Meier curves were drawn to evaluate progression-free survival （PFS） and overall survival （OS）. Using MS4A1 genotype and tumor stage as independent variables， Cox regression model was employed to evaluate the factors influencing patient prognosis. RESULTS The blood concentration of rituximab in MS4A1 rs10501385 CC carriers was 15.20 μg/mL，which was significantly lower than 21.95 μg/mL in AA+AC carriers （P＜0.05）. The multivariate linear regression model incorporating tumor stage and MS4A1 rs10501385 polymorphism explained 7.3% of the interindividual variability in rituximab concentrations. Compared with MS4A1 rs1051461 CC carriers， CT+TT carriers had significantly prolonged PFS and OS （P＜0.05）. The Cox proportional hazards regression model showed that the MS4A1 rs1051461 CC genotype （HR＝4.406， 95%CI：1.743-11.137， P＜0.05） and tumor Ⅲ&Ⅳ （HR＝3.233， 95%CI： 1.413-7.399， P＜0.05） were independent risk factors for PFS. CONCLUSIONS The tumor staging and MS4A1 rs10501385 polymorphism are key influencing factors for blood concentration of rituximab， and MS4A1 rs1051461 polymorphism significantly affects PFS in non-Hodgkin’s lymphoma patients.

Background: and Purpose This study aimed to investigate the association between residual inflammatory risk (RIR) and vulnerable plaques using high-resolution magnetic resonance imaging (HRMRI) in symptomatic intracranial atherosclerotic stenosis (ICAS). Methods: This retrospective study included 70%–99% symptomatic ICAS patients hospitalized from January 2016 to December 2022. Patients were classified into four groups based on high-sensitivity C-reactive protein (hs-CRP) and low-density lipoprotein cholesterol (LDL-C): residual cholesterol inflammatory risk (RCIR, hs-CRP ≥3 mg/L and LDL-C ≥2.6 mmol/L), RIR (hs-CRP ≥3 mg/L and LDL-C <2.6 mmol/L), residual cholesterol risk (RCR, hs-CRP <3 mg/L and LDL-C ≥2.6 mmol/L), and no residual risk (NRR, hs-CRP <3 mg/L and LDL-C <2.6 mmol/L). Vulnerable plaque features on HRMRI included positive remodeling, diffuse distribution, intraplaque hemorrhage, and strong enhancement. Results: Among 336 included patients, 21, 60, 58, and 197 were assigned to the RCIR, RIR, RCR, and NRR groups, respectively. Patients with RCIR (adjusted odds ratio [aOR], 3.606; 95% confidence interval [CI], 1.346–9.662; P=0.011) and RIR (aOR, 3.361; 95% CI, 1.774–6.368, P<0.001) had higher risks of strong enhancement than those with NRR. Additionally, patients with RCIR (aOR, 2.965; 95% CI, 1.060–8.297; P=0.038) were more likely to have intraplaque hemorrhage compared with those with NRR. In the sensitivity analysis, RCR (aOR, 2.595; 95% CI, 1.201–5.608; P=0.015) exhibited an additional correlation with an increased risk of intraplaque hemorrhage. Conclusion In patients with symptomatic ICAS, RIR is associated with a higher risk of intraplaque hemorrhage and strong enhancement, indicating an increased vulnerability to atherosclerotic plaques.

Objective To verify the accuracy of γ spectrometry by analyzing the results of national interlaboratory comparisons of radionuclide analysis by γ spectrometry from 2018 to 2023. Methods A statistical analysis was conducted on the results from multiple years of participation in the national interlaboratory comparisons of radionuclide analysis by γ spectrometry. The measurement results of radionuclide specific activities in soil were analyzed to provide technical support for improving the capability to analyze radionuclides in soil. Results The laboratory participated in six interlaboratory comparisons and conducted 23 radionuclide analyses by γ spectrometry from 2018 to 2023. The relative deviation was −12.20% to 8.11%, the |Z_test| was 0 to 0.61, the U_test was 0 to 0.62, and the U_rel was 0.07 to 0.12. The overall pass rate was 100% and the excellent rate was 33.3%. In addition, 21 of the 23 (91.3%) radionuclide analyses showed full scores in experiment operation. However, the total scores were relatively low due to multiple oversights and lack of rigor in the preparation of the test reports, which prevented the laboratory from qualifying for the excellence evaluation process, resulting in a relatively low excellent rate. Conclusion The interlaboratory comparisons indicate that the measurements of radionuclides in this laboratory were all qualified, with full scores for experiment operation in several analyses. These results demonstrate that the soil radionuclide analysis system based on γ spectrometry is reliable and stable.

Cardiovascular disease (CVD) is the most common and fatal non communicable disease in the world. Hypertension accounts for a large proportion of global non communicable diseases. Irisin was first discovered and named in 2012. As a muscle myokine, irisin has the function of regulating glucose and lipid metabolism. Exercise can promote irisin' participation in energy metabolism in the body. At the same time, it has been found that irisin can intervene in the development of hypertension and have a positive effect on the improvement of hypertension. Therefore, this paper reviews research on the relationship between irisin and hypertension, summarizes the mechanism of irisin’ action on vascular function in hypertension, and analyzes the effect of irisin on blood pressure under exercise intervention.

Objective To establish the functional constipated mouse model by compound diphenoxylate, and explore the anti-constipation effect of black garlic polysaccharide. Methods Mouse small intestine ink propulsion experiment and mouse defecation experiment were carried out respectively. The mice in each experiment were randomly divided into blank group, model group, positive group and black garlic polysaccharide （0.25, 0.5, 1 g/kg） groups. Mice in blank group and model group were given distilled water, and in positive group were given lactulose oral solution. Compound diphenoxylate （5 mg/kg） was intragastric administrated after 1 week of administration, and small intestine propulsion experiment and defecation experiment were conducted respectively. Results Compared with model group, intestinal propulsion rate of black garlic polysaccharide groups was significantly increased and first dejection time was significantly shorten, and the number, weight and fecal water content increased significantly at 6 h in middle and high dose groups. Conclusion Black garlic polysaccharide could promote intestinal propelling, shorten defecation time and increase fecal water content.

AIM:To evaluate the clinical efficacy of 0.05% cyclosporine eye drops(Ⅱ)combined with sodium hyaluronate eye drops in treating patients with type 2 diabetes mellitus(T2DM)and moderate-to-severe dry eye.METHODS:A total of 120 T2DM patients(120 eyes)with moderate-to-severe dry eye, treated at the endocrinology and ophthalmology departments at the Affiliated Hospital of Xuzhou Medical University from January 2024 to September 2024, were enrolled in the study. The patients were randomly divided into two groups: combination group [0.05% cyclosporine eye drops(Ⅱ)+ sodium hyaluronate eye drops] and control group(sodium hyaluronate eye drops alone), with 60 cases(60 eyes)in each group. Assessments were conducted at baseline and at 1, 2, and 3 mo post-treatment, including the ocular surface disease index(OSDI), non-contact tear meniscus height(NITMH), first non-invasive tear breakup time(NIBUTf), meibomian gland loss score, lipid layer thickness grade, conjunctival hyperemia grade, and corneal fluorescein staining(FL)score. At 3 mo after treatment, changes in tear inflammatory factors were observed, and corneal subbasal nerve plexus(SBN)morphology/density were analyzed using in vivo confocal microscopy(IVCM).RESULTS:At 1, 2, and 3 mo post-treatment, both groups showed statistically significant increases in NITMH and NIBUTf compared to baseline(all P<0.05), with greater improvement observed in the combination group(both P<0.05). OSDI and FL scores significantly decreased from baseline(all P<0.05), with more pronounced reductions in the combination group(both P<0.05). Meibomian gland loss scores showed no significant improvement in either group(all P>0.05). At 3 mo after treatment, tear levels of interleukin 6(IL-6)and matrix metalloproteinase-9(MMP-9)significantly decreased in both groups(all P<0.001), with a greater reduction noted in the combination group(both P<0.001). The combination group displayed increased corneal nerve branch density and nerve fiber density, along with decreased nerve tortuosity and dendritic cell(DC)density compared to baseline(all P<0.001), while the control group did not show significant changes(all P>0.05).CONCLUSION: The combination of 0.05% cyclosporine eye drops(Ⅱ)and sodium hyaluronate eye drops significantly improves clinical outcomes in T2DM patients with moderate-to-severe dry eye. This treatment effectively alleviates ocular surface inflammation, restores corneal nerve morphology and density, and demonstrates a favorable safety profile.

AIM: To explore the risk factors associated with diabetic retinopathy(DR)based on ultra-widefield swept-source optical coherence tomography angiography(UWF-SS-OCTA), and to establish a clinical prediction model.METHODS:A total of 235 patients(235 eyes)with type 2 diabetes mellitus who were treated in the Affiliated Hospital of Xuzhou Medical University from July to November 2024 were selected as the research objects. According to the presence or absence of DR, they were divided into 120 cases(120 eyes)in non-DR group(NDR group)and 115 cases(115 eyes)in non-proliferative DR group(NPDR group). Data on general characteristics, laboratory tests, and OCTA results were collected for both groups. Univariate analysis was employed to identify DR-related risk factors. Logistic regression analysis was conducted to analyze these risk factors and to establish a DR prediction model. The efficacy of the model was evaluated using the receiver operating characteristic(ROC)curve, calibration curve, and decision curve analysis(DCA).RESULTS: The duration of diabetes, fasting blood glucose, blood urea nitrogen(BUN), history of hypertension, and the choroidal vascular index(CVI)were found to be statistically significant in the model(all P<0.05). Specifically, the duration of diabetes, fasting blood glucose, BUN, and history of hypertension were identified as risk factors for DR among diabetic patients, while CVI was recognized as a protective factor. The area under the curve for the model predicting the probability of DR was 0.898(0.859-0.938), with a diagnostic threshold of 0.438. The corresponding sensitivity and specificity were 87.8% and 78.3%, respectively, indicating that the model possesses high predictive value for the occurrence of DR.CONCLUSION: The duration of diabetes, fasting blood glucose, BUN, history of hypertension, and CVI are significantly correlated with DR. The established prediction model demonstrates a substantial screening capability for DR.