Objective To study the spatial distribution of the incidence of pulmonary tuberculosis in Hubei Province and its influencing factors, so as to improve the theoretical basis for scientific development of tuberculosis prevention and control measures in the future. Methods The data of reported incidence of tuberculosis and related influencing factors in various counties and districts of Hubei Province in 2020 were collected. Global Moran's I index, hotspot analysis and geographically weighted regression (GWR) model analysis were used to calculate the spatial autocorrelation of the incidence of tuberculosis, and to analyze the influencing factors affecting the incidence rate of tuberculosis. Results There were obvious regional differences in the space distribution of the incidence rate of tuberculosis. Hot spot analysis showed positive spatial correlation and obvious clustering. The GWR model (AICc=784.251) in this study had higher AICc value compared to the ordinary least squares regression (OLS) model (AICc=804.2585). The GWR model showed that the increase in the proportion of the population aged 65 and above and the proportion of the ethnic minority population had a significant promoting effect on the increase of the incidence rate of tuberculosis, and there was significant spatial heterogeneity. The effect of PM_2.5 concentration on the incidence rate of pulmonary tuberculosis varied in different regions, and the degree of effect was also different. Conclusion The proportion of people aged 65 and above and the proportion of ethnic minorities may significantly influence the incidence of pulmonary tuberculosis. The effect of PM_2.5 concentration varies in different regions, so targeted measures should be formulated according to the situation in different regions.

Background The Inner Mongolia Autonomous Region is a vast area with a wide array of ecological environments, resulting in considerable regional variations in air pollution characteristics. Current research is limited by a scarcity of systematic, region-wide studies and risk assessments. Objective To assess the health risks associated with inhalation exposure to nine heavy metal and metalloid elements in atmospheric fine particulate matter (PM_2.5) for the population of the Inner Mongolia Autonomous Region. Methods From the 10th to the 16th of each month throughout 2023, atmospheric PM_2.5 samples were collected at designated monitoring sites in 12 leagues (cities) across the Inner Mongolia Autonomous Region to analyze the characteristics and trends in concentration. The health risk assessment model developed by the United States Environmental Protection Agency was employed to evaluate both the non-carcinogenic and carcinogenic risks associated with the heavy metal elements beryllium (Be), cadmium (Cd), chromium (Cr), hydrargyrum (Hg), plumbum (Pb), manganese (Mn), and nickel (Ni) and the metalloid elements stibium (Sb) and arsenic (As). Results In 2023, a total of 1206 valid PM_2.5 samples were analyzed from the Inner Mongolia Autonomous Region. The annual average PM_2.5 concentrations in Inner Mongolia, as well as in the cities of Ordos, Wuhai, and the Alxa League, all exceeded the national limit of 35 μg·m⁻³. The PM_2.5 concentrations across the leagues (cities) exhibited a clear seasonal variation, peaking in winter, followed by spring, and reaching a minimum in summer and autumn. The median PM_2.5 concentration in Ordos throughout the year was higher than that in the other leagues (cities) of the region. Concerning health risks, the non-carcinogenic risks associated with the 9 elements detected in each league (city) were all below 1, indicating acceptable levels. However, the non-carcinogenic risk values for Mn, Cr, and As were relatively high; specifically, Ordos City displayed the highest non-carcinogenic risk values for Mn (7.74×10⁻¹) and Cr (2.97×10⁻²), while Chifeng City recorded the highest value for As (2.34×10⁻³). The carcinogenic risk values for As, Cd, Cr, and Ni fell within the range of 1×10⁻⁹ to 1×10⁻⁵, representing an acceptable level. The health risks varied with age, and the elderly residents faced the highest non-carcinogenic and carcinogenic health risks. Conclusion While the carcinogenic and non-carcinogenic risks from heavy metals and metalloids within atmospheric PM_2.5 in the Inner Mongolia Autonomous Region are generally within acceptable limits, the potential risks that Mn, As, and Cr pose to the health of elderly people warrants particular attention, and Ordos and Chifeng cities exhibit notably higher health risks among other areas. It is recommended that regular, long-term monitoring be conducted, taking into account the specific conditions at monitoring sites across each league (city), and that targeted air quality management strategies be implemented to protect public health.

Objective To construct the predictive model of pressure injury(PI)in the patients with chronic pain based on machine learning,and to analyze its accuracy and rationality,so as to provide an evidence for the predictive evaluation of clinical PI.Methods The clinical medical records data of 396 patients with chronic pain and high risk Braden scores hospitalized in a class 3A hospital of Chongqing City from March 2023 to June 2024 were retrospectively analyzed.Based on the Python3.10 programming language,the decision tree model,random forest model,linear regression model,naive Bayes model and K-Means model were con-structed,and the model performances were compared by accuracy,sensitivity,precision,F1 score and area un-der the receiver operating characteristic(ROC)curve(AUC).Results PI occurred in 35 cases with an inci-dence rate of 8.84%.Age,NRS score,pain site and pain affected sleep were the independent influencing fac-tors for the PI occurrence in the patients with chronic pain.Among 5 kinds of PI risk predictive model,the ac-curacy(0.873),sensitivity(0.874),precision(0.848),F1 score(0.844)and ROC AUC(0.81)of the ran-dom forest model were all higher than those of other models.Conclusion The random forest model has a high predictive performance for PI in the patients with chronic pain,and could be used for the screening and man-agement of high risk groups of PI in the patients with chronic pain.

Objective To explore the effect and mechanism of Baicalein in the treatment of hyperuricemia.Methods The mouse model of hyperuricemia was established by yeast extract combined with potassium oxazinate.The effect and potential mechanism of Baicalein in the treatment of hyperuricemia were studied by biochemical indexes,pathological changes,non-target metabonomics and network pharmacology.Results Baicalein could reduce the contents of serum uric acid,creatinine and blood urea nitrogen,reduce the inflammatory injury of renal tissue,up-regulate the expression level of uric acid excretion protein and down-regulate the expression level of uric acid reabsorption protein.Nine disease-related targets such as BCL2,SIRT1 and XDH were screened by network pharmacology.Six key metabolic pathways including nicotinic acid and nicotinamide metabolism,caffeine metabolism and purine metabolism were screened by metabonomics analysis.Conclusions Baicalein can treat hyperuricemia and reduce renal injury,and its mechanism may be related to the metabolic pathways of nicotinic acid and nicotinamide regulated by SIRT1 and quinolinate.

With intensified aging， Alzheimer's disease has become a serious problem in China's health field. In the field of traditional Chinese medicine （TCM）， Alzheimer's disease mainly describes cognitive deficits such as dementia and amnesia. After the inheritance and summary by medical experts of successive generations， the theory of "toxin damaging brain collaterals" has become a mature pathogenesis hypothesis of this disease. Blood stasis， as one of the main viral pathogens， is also closely related to the theory of Alzheimer's disease in modern pharmacology. Chuanxiong Rhizoma is used frequently in clinical prescriptions for Alzheimer's disease. As the main component of Chuanxiong Rhizoma， tetramethylpyrazine has a series of pharmacological effects on the cardiovascular system such as vasodilation， anti-platelet aggregation， anti-atherosclerosis， and anti-myocardial ischemia， which reflects the effects of Chuanxiong Rhizoma in activating blood circulation and removing blood stasis. However， few studies have focused on the effect of tetramethylpyrazine on the pathogenesis of Alzheimer's disease. From the perspective of TCM theory and modern pharmacology， this article discussed the effects of tetramethylpyrazine on the pathology and pathogenesis of Alzheimer's disease from the aspects of cardiovascular function， oxidative stress， inflammatory response， mitochondrial function， and cholinergic system and made prospects for the future application of tetramethylpyrazine to prevent and treat Alzheimer's disease.

【Objective】 To investigate the effect of phenotypes of Duffy blood group on chemokine storage and chemokine scavenging function of erythrocytes. 【Methods】 Twenty-four erythrocyte samples were collected and tested Duffy blood phenotype using the anti-human globulin method, and erythrocyte CCL2, CCL5, CXCL8, and CCL11 content and their chemokine scavenging function using ELISA. The expression of Duffy antigens on erythrocytes was detected using a flow analyzer. 【Results】 The difference in CCL2 content(41.1±14.7 pg/mL vs 63.1±20.8 pg/mL)of erythrocyte lysate between Fy(a+b-) and Fy(a+b+) phenotype was statistically significant (P<0.05), however, the difference in the content of CCL5(794.5±320.1 pg/mL vs 846.9±359.4 pg/mL), CXCL8(59.5±34.2 pg/mL vs 49.1± 11.9 pg/mL), and CCL11(109.1±25.1 pg/mL vs 158.6 ±56.0 pg/mL) were not statistically significant (P>0.05).The difference in the scavenging function of CCL2(1471±202.1 pg/mL vs 1860±267.5 pg/mL)and CCL5 (848.5±461.7 pg/mL vs 1797±546.1pg/mL) between Fy(a+b-) and Fy(a+b+) phenotype were statistically significant (P<0.05), however, for CXCL8(1851±180.7 pg/mL vs 1 862± 248.3 pg/mL) and CCL11(691.0±125.7 pg/mL vs 781.7 ±293.8 pg/mL) scavenging function the difference were not statistically significant (P>0.05).The difference in Duffy antigen expression (mean fluorescent intensity:105.3±20.45 vs 111.9±18.30)on erythrocytes between Fy(a+b-) and Fy(a+b+) phenotype was not statistically significant (P>0.05). 【Conclusion】 The Fy(a+b+) and Fy(a+b-) phenotypes of the Duffy blood group can affect the chemokine storage and scavenging function of erythrocytes. Fy(a+b+) phenotypes are able to store more chemokines and have a stronger chemokine scavenging function than Fy(a+b-) phenotypes.