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 analyze the influencing factors of frailty in elderly patients with lower extremity osteoarthritis,and to construct and validate the risk assessment model.Methods Convenient sampling method was used to select 535 elderly patients with lower extremity osteoarthritis from tertiary hospitals and community health service centers in Hangzhou from January to September 2022 as the survey subjects including 357 in the modeling group and 178 in the validation group.Univariate and multivariate logistic regression analysis were used to determine the risk factors of frailty,construct a risk assessment model and draw a nomogram.The discrimination and calibration of the model were evaluated by the area under the receiver operating characteristic curve and the Hosmer-Lemeshow test.The Bootstrap method was used for intemal validation of the model,and the time verification method was used for external validation.Results The model variables included the number of affected joints,age-adjusted Charlson comorbidity index,pain,nutritional status,sedentary time,activity of daily living,osteoarthritis index,lower limb muscle strength,and Social Support Rating Scale score.The Hosmer-Lemeshow test results of the model showed that P=0.202,the area under the receiver operating characteristic curve was 0.942,the optimal critical value was 0.392,the sensitivity was 0.914,the specificity was 0.893,and the accuracy rate was 0.902.The internal and external validation showed that the C-statistics were 0.935 and 0.919,respectively,and the calibration curve showed good fitting.Conclusion The risk assessment model has a good degree of discrimination and calibration,which can more intuitively and easily screen elderly patients with lower extremity osteoarthritis at high risk of frailty,and provide references for early monitoring,identification,prevention and control.

Schizophrenia is a serious mental disorder that is often associated with profound impairment in patients′ daily functioning, and its etiology and pathophysiology are still to be fully elucidated. There is a pathological correlation between inflammation, brain injuries, and the pathogenesis of schizophrenia, with microglia actively participating in these processes. This review provides a comprehensive overview of the impact of microglial cells on neurodevelopment and neuroplasticity, and microglia abnormalities mediating the onset of schizophrenia by contributing to damage in different brain regions.

Objective To explore the association between arachidonic acid(AA)metabolism and cervical cancer(CC),to provide new ideas for metabolic therapies for CC.Methods The activity and migration ability of CC cells after AA intervention were detected by CCK-8 assay and cell scratch assay,respectively.Bioinformatics analysis was performed using GEPIA 2 and GSCA databases to study the correlation between key enzymes of AA metabolism(COX2,ALOX15)and the progression,prognosis,pathway activation,and tumor immunity of CC.The mRNA expression of inflammatory factors interleukin-6(IL-6),monocyte chemoattractant protein-1(MCP-1),tumor necrosis factor-α(TNF-α),interferon-γ(IFN-γ),cyclooxygenase 2(COX2),and arachidonic acid lipoxygenase 15(ALOX15)were detected by real-time fluorescence quantitative polymerase chain reaction(RT-qPCR).Results A A at 5μmol/ml significantly promoted the growth of CC cells(t=7.672,P=0.0166)and increased the relative cell migration rate by 30％at the same concentration(t=6.672,P=0.0026).And the expression levels of inflammatory factors also showed significant differences(P＜0.05).Further bioinformatics analysis revealed that the expression levels of key enzymes of AA metabolism,COX2 and ALOX15,were significantly up-regulated in CC(P＜0.05),which also different in different stages and increased the risk of poor prognosis in patients.Among them,COX2 may accelerate the progression of CC by decreasing the level of tyrosine kinase metabolism and exacerbating DNA damage,and ALOX15 may form a tumor inflammatory environment by increasing the degree of infiltration of resting CD8+T cells and B lymphocytes.Conclusion AA metabolism promotes the proliferation and migration of CC cells and induces changes in the tumor inflam-matory microenvironment,in which its metabolic key enzymes,COX2 and ALOX15,may play an important role.

Objective To explore the association between arachidonic acid(AA)metabolism and cervical cancer(CC),to provide new ideas for metabolic therapies for CC.Methods The activity and migration ability of CC cells after AA intervention were detected by CCK-8 assay and cell scratch assay,respectively.Bioinformatics analysis was performed using GEPIA 2 and GSCA databases to study the correlation between key enzymes of AA metabolism(COX2,ALOX15)and the progression,prognosis,pathway activation,and tumor immunity of CC.The mRNA expression of inflammatory factors interleukin-6(IL-6),monocyte chemoattractant protein-1(MCP-1),tumor necrosis factor-α(TNF-α),interferon-γ(IFN-γ),cyclooxygenase 2(COX2),and arachidonic acid lipoxygenase 15(ALOX15)were detected by real-time fluorescence quantitative polymerase chain reaction(RT-qPCR).Results A A at 5μmol/ml significantly promoted the growth of CC cells(t=7.672,P=0.0166)and increased the relative cell migration rate by 30％at the same concentration(t=6.672,P=0.0026).And the expression levels of inflammatory factors also showed significant differences(P＜0.05).Further bioinformatics analysis revealed that the expression levels of key enzymes of AA metabolism,COX2 and ALOX15,were significantly up-regulated in CC(P＜0.05),which also different in different stages and increased the risk of poor prognosis in patients.Among them,COX2 may accelerate the progression of CC by decreasing the level of tyrosine kinase metabolism and exacerbating DNA damage,and ALOX15 may form a tumor inflammatory environment by increasing the degree of infiltration of resting CD8+T cells and B lymphocytes.Conclusion AA metabolism promotes the proliferation and migration of CC cells and induces changes in the tumor inflam-matory microenvironment,in which its metabolic key enzymes,COX2 and ALOX15,may play an important role.

Schizophrenia is a serious mental disorder that is often associated with profound impairment in patients′ daily functioning, and its etiology and pathophysiology are still to be fully elucidated. There is a pathological correlation between inflammation, brain injuries, and the pathogenesis of schizophrenia, with microglia actively participating in these processes. This review provides a comprehensive overview of the impact of microglial cells on neurodevelopment and neuroplasticity, and microglia abnormalities mediating the onset of schizophrenia by contributing to damage in different brain regions.

Background The safety of drinking water is closely related to people's health. In recent years, relevant studies have identified some health related problems with drinking water in Inner Mongolia Autonomous Region. The complex and diverse natural environment embraced by the vast jurisdiction of the region may lead to uneven drinking water quality across the region. Objective To evaluate eight chemicals including arsenic, cadmium, chromium (hexavalent), lead, mercury, fluoride, trichloromethane, and carbon tetrachloride in urban drinking water in Inner Mongolia Autonomous Region in 2021, and to provide reference for optimizing urban water supply system and ideas for further developing strategies to promote population health. Methods A total of 1228 monitoring sites were set up in urban areas of Inner Mongolia, and water samples were collected once in dry season (May) and once in wet season (August−September). Eight chemicals of interest in drinking water were detected according to the Standard examination methods for drinking water, and assessed for health risks using the health risk assessment model recommended by the United States Environmental Protection Agency (USEPA) and following the Technical guide for environmental health risk assessment of chemical exposure. Mann-Whitney U test was used to compare the concentrations of eight chemicals in urban drinking water by water seasons and water sample types. Results In 2021, a total of 2381 samples of urban drinking water were tested in the Inner Mongolia Autonomous Region, including 1195 samples in wet season and 1186 samples in dry season; 389 samples of finished water and 1992 samples of tap water. The positive rates of arsenic and fluoride were 26.25% and 96.77%, respectively. The positive rates of cadmium, chromium (hexavalent), lead, mercury, trichloromethane, and carbon tetrachloride were 6.22%, 16.63%, 6.09%, 16.67%, 18.98%, and 8.36%, respectively. The exceeding standard rate of fluoride was 4.87%. Trichloromethane and carbon tetrachloride were qualified in all samples. There were statistical differences in the concentrations of arsenic, cadmium, chromium (hexavalent), lead, and carbon tetrachloride in urban drinking water between water seasons (Z=−3.847, P<0.05; Z=2.464, P=0.014; Z=−3.129, P=0.002; Z=4.341, P<0.05; Z=4.342, P<0.05). Only fluoride concentration was found statistically different among different water sample types (Z=−2.287, P=0.022). The non-carcinogenic risks of ingestion and dermal exposure to each chemical in drinking water by water seasons and water sample types were all less than 1, but the P₉₅ total non-carcinogenic risks of oral exposure were greater than 1. The P₉₅ carcinogenic risks of oral exposure to some chemicals in drinking water by water seasons and water sample types were>10⁻⁴, which suggested carcinogenic risks, while the carcinogenic risks of dermal explore to chemicals were all less than 10⁻⁶. Conclusion In 2021, urban drinking water in Inner Mongolia Autonomous Region is generally safe, but arsenic, cadmium, chromium (hexavalent), lead, mercury, and fluoride still exceed the national limits, posing certain health risks.

Objective:To summarize and evaluate the best evidence for nonpharmacological interventions in patients with post-stroke depression.Methods:Based on the "6S" pyramid model of evidence resources, the Chinese and English databases and websites of relevant professional associations were systematically searched for evidence on nonpharmacological interventions in patients with post-stroke depression, including guidelines, evidence summaries, systematic reviews, and expert consensus. The retrieval time limit was from the establishment of the database to July 31, 2021. The quality of the article was independently evaluated by two researchers, and evidence was extracted and summarized for the article that met the quality standards.Results:A total of 15 articles were included, including 4 guidelines, 1 evidence summary, 9 systematic reviews, and 1 expert consensus. A total of 25 pieces of the best evidence were compiled from five aspects, namely, health education, exercise intervention, psychological intervention, physical intervention and traditional Chinese medicine techniques.Conclusions:Medical and nursing staff should formulate nonpharmacological interventions for post-stroke depression patients according to the specific clinical conditions and patient characteristics, and apply the evidence in clinical practice.

Objective: Network pharmacology combines drug and disease targets with biological information networks based on the integrity and systematicness of the interactions between drugs and disease targets. This study aims to explore the molecular basis of Hanshi Zufei formula for treatment of COVID-19 based on network pharmacology and molecular docking techniques. Methods: Using TCMSP, the chemical constituents and molecular targets of Atractylodis Rhizoma, Citri Reticulatae Pericarpium, Magnoliae Officinalis Cortex, Pogostemonis Herba, Tsaoko Fructus, Ephedrae Herba, Notopterygii Rhizoma et Radix, Zingiberis Rhizoma Recens, and Arecae Semen were investigated. The predicted targets of novel coronavirus were screened using the NCBI and GeneCards databases. To further screen the drug-disease core targets network, the corresponding target proteins were queried using multiple databases (Biogrid, DIP, and HPRD), a protein interaction network graph was constructed, and the network topology was analyzed. The molecular docking studies were also performed between the network's top 15 compounds and the coronavirus (SARS-CoV-2) 3CL hydrolytic enzyme and angiotensin conversion enzyme II (ACE2). Results: The herb-active ingredient-target network contained nine drugs, 86 compounds, and 49 drug-disease targets. Gene ontology (GO) enrichment analysis resulted in 1566 GO items (P < 0.05), among which 1438 were biological process items, 35 were cell composition items, and 93 were molecular function items. Fourteen signal pathways were obtained by enrichment screening of the KEGG pathway database (P < 0.05). The molecular docking results showed that the affinity of the core active compounds with the SARS-CoV-2 3CL hydrolase was better than for the other compounds. Conclusion: Several core compounds can regulate multiple signaling pathways by binding with 3CL hydrolase and ACE2, which might contribute to the treatment of COVID-19.

OBJECTIVE：To establish the fingerprint of ethanol extract and acetone extract from Anemarrhena asphodeloides and its different processed products ，and to investigate the spectrum-effect relationship between the fingerprint and the antioxidant activity. METHODS ：HPLC method and HPLC-ELSD method were adopted. The determination was performed on Thermo BDS Hypersil C 18 column with mobile phase consisted of acetonitrile- 0.2％ acetic acid at the flow rate of 1.0 mL/min. The column temperature was 30 ℃，and the detection wavelength was set at 258 nm. The sample size was 10 μL. The determination was performed on XDB-C 18 columnwith mobile phase consisted of acetonitrile-0.1％ acetic acid （gradient elution ）at the flow rate of 0.9 mL/min. The column temperature was 30 ℃ . The temperature of atomizer was 40 ℃ and the flow rare of N 2 was 1.6 mL/min. The sample size was 10 μL. Using mangiferin and timosaponin B Ⅱ as reference ，Fingerprint Similarity Eva- com luation System of TCM Chromatogram （2004A edition ）was adopted to draw the fingerprint of ethanol extract and acetoneextract from 20 batches of A. asphodeloides and its different processed products to confirm common peaks. Using scave nging rate of 1，1-diphenyl-2-trinitrophenylhydrazine（DPPH）radical as index，antioxidant activities of ethanol extract and acetone extract from 20 batches of A. asphodeloides and its processed products were investigated. Using scavenging rate of DPPH radical as dependent variable ，common peak area as independent variable ，PLSR was used to analyze the spectrum-effect relationship of ethanol extract and acetone extract from A. asphodeloides with antioxidantion activity. RESULTS ：Eight peaks （M1-M8）were identified in the fingerprints of ethanol extracts from 20 batches of processed A. asphodeloides . Mangiferin （chromatogram peak M 7）was identified with similarity of 0.389-1.000；seven comon peaks （S1-S7）and timosaponin B Ⅱ（peak S 5）were identified in the fingerprint of acetone extract ，and the similarity was 0.044-0.999. DPPH radical scavenging rate of ethanol extract from 20 batches of A. asphodeloides and its processed products was 21.23％- 81.39％，and A. asphodeloides was significantly lower than salt-processed A. asphodeloides with salt wine-processed A. asphodeloides （P＜0.001）；and that of acetone extract was 49.73％-83.78％，and A. asphodeloides was significantly higher than stir-baked A. asphodeloides with salt ，wine or fire （P＜0.001）. The standardized regression coefficients of peaks M 2-M7 in the spectrum of ethanol extract from A. asphodeloides were all greater than 0，which was positively correlated with antioxidant activity. Only the variable importance projection （VIP）value of peak M 7 was greater than 1，which had an important contribution. The standardized regression coefficients of peaks S 4-S7 in the acetone extract spectrum of A. asphodeloides were greater than 0，and were positively correlated with antioxidant activity. The order of VIP values was peak S 5＞S6＞S4，and the VIP values were all greater than 1. CONCLUSIONS：The fingerprint of the different processed products A. asphodeloides and its antioxidant activity spectral effect relationship were successfully established ；mangiferin（peak M 7）may be the main antioxidant substance of ethanol extract from A. asphodeloides . Timosaponin B Ⅱ（peak S 5），peak S 6 and peak S 4 may be the main antioxidant substance in acetone extract from A. asphodeloides .