Objective: To investigate the factors influencing the co-prevalence of allergic rhinitis and obesity among primary and secondary school students in Inner Mongolia, so as to provide a data foundation and theoretical basis for developing targeted intervention measures. Methods: In September and October 2024, a stratified cluster random sampling method was employed to select 139 102 students from 539 schools across 12 leagues/cities and 103 banners/counties in Inner Mongolia Autonomous Region. Participants who were diagnosed with allergic rhinitis by a doctor at least once within one year and had a body mass index ≥ 28 kg/m 2 were considered to have comorbid conditions. Results: The coprevalence rate of allergic rhinitis and obesity among primary and secondary school students in Inner Mongolia was 6.4% (8 931 cases). Lasso-Logistic regression revealed that nonboarding status, higher maternal education, consuming high protein foods ≥1 time daily, occasionally or never eating breakfast, engaging in moderate to vigorous physical activity for ≥60 minutes on fewer than half of holidays, and having been exposed to second hand smoke in person within the past seven days were associated with higher odds ratios for co-prevalence of allergic rhinitis and obesity( OR = 1.23 , 1.22-1.63, 1.20, 1.19, 1.38, 1.35); being female, higher grade level, residence in flag/county/district areas, non only child status, never having consumed a full glass of alcohol, non hypertensive status, and households without pets were associated with lower co-prevalence risks ( OR =0.65, 0.67-0.77, 0.81, 0.87, 0.73, 0.41, 0.68) (all P <0.05). The ROC curve indicated an area under the curve of 0.64 for the predictive model, demonstrating satisfactory discriminatory ability. The calibration curve showed consistency between predicted and actual occurrence probabilities. Conclusions The co-prevalence of allergic rhinitis and obesity among primary and secondary school students in Inner Mongolia is closely associated with demographic characteristics, dietary behaviours, and lifestyle habits. Future prevention and control strategies should prioritize these factors to implement targeted interventions.

Objective To evaluate the applicability and guideline concordance of the Chinese Society of Clinical Oncology(CSCO)arti-ficial intelligence(AI)system in clinical decision-making for colorectal cancer(CRC)patients,and to explore its feasibility in real-world clinical applications.Methods A total of 972 CRC patients diagnosed and treated at the Second Affiliated Hospital,Zhejiang University School of Medicine,from January 2010 to December 2021,were included.Patient data were analyzed by the CSCO AI system to gener-ate treatment decisions,and decision concordance was assessed by a blinded independent central review(BICR)panel.The applicability and guideline concordance rates of the CSCO AI system were calculated for different treatment stages,and a logistic regression model was used to analyze factors influencing the system's decision discrepancies with actual treatments.Results The overall applicability rate of the CSCO AI system was 96.2%,and the overall guideline concordance rate was 94.9%.In the adjuvant and palliative treatment stages,the system's applicability rates were 95.8%and 96.7%,respectively,and the guideline concordance rates were 95.0%and 94.9%,respective-ly.Multivariate logistic regression analysis showed that age≥65 years and high-risk stage Ⅱ treatment were significant factors affecting guideline concordance in the adjuvant treatment stage(both P<0.05).Conclusions The CSCO AI system demonstrated high applicability and guideline concordance in the adjuvant and palliative treatment stages for CRC.The system's clinical decision-making potential is sig-nificant,and it can be further optimized for specific clinical scenarios and promoted for use across various medical institutions.

Increasing evidence shows that the early lesions of Parkinson's disease (PD) originate from gut, and correction of microbiota dysbiosis is a promising therapy for PD. FLZ is a neuroprotective agent on PD, which has been validated capable of alleviating microbiota dysbiosis in PD mice. However, the detailed mechanisms still need elucidated. Through metabolomics and 16S rRNA analysis, we identified glycoursodeoxycholic acid (GUDCA) was the most affected differential microbial metabolite by FLZ treatment, which was specially and negatively regulated by Clostridium innocuum, a differential microbiota with the strongest correlation to GUDCA production, through inhibiting bile salt hydrolase (BSH) enzyme. The protection of GUDCA on colon and brain were also clarified in PD models, showing that it could activate Nrf2 pathway, further validating that FLZ protected dopaminergic neurons through promoting GUDCA production. Our study uncovered that FLZ improved PD through microbiota-gut-brain axis, and also gave insights into modulation of microbial metabolites may serve as an important strategy for treating PD.

Although enteric glial cell (EGC) abnormal activation is reported to be involved in the pathogenesis of Parkinson's disease (PD), and inhibition of EGC gliosis alleviated gut and dopaminergic neuronal dysfunction was verified in our previous study, the potential role of gut microbiota on EGC function in PD still need to be addressed. In the present study, fecal microbiota transplantation revealed that EGC function was regulated by gut microbiota. By employing 16S rRNA and metabolomic analysis, we identified that 3-indolepropionic acid (IPA) was the most affected differential microbial metabolite that regulated EGC gliosis. The protective effects of IPA on PD were validated in rotenone-stimulated EGCs and rotenone (30 mg/kg i.g. for 4 weeks)-induced PD mice, as indicated by decreased inflammation, improved intestinal and brain barrier as well as dopaminergic neuronal function. Mechanistic study showed that IPA targeted pregnane X receptor (PXR) in EGCs, and inhibition of IL-13Rα1 involved cytokine-cytokine receptor interaction pathway, leading to inactivation of downstream JAK1-STAT6 pathway. Our data not only provided evidence that EGC gliosis was critical in spreading intestinal damage to brain, but also highlighted the potential role of microbial metabolite IPA in alleviating PD pathological damages through gut-brain axis.

[This corrects the article DOI: 10.1016/j.apsb.2025.02.029.].

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Objective: To analyze the prevalence trends of different types of elevated blood pressure and their association with nutritional status among primary and secondary school students in Inner Mongolia from 2019 to 2024, providing references for targeted prevention strategies. Methods: From September 2019 to 2024, a stratified random cluster sampling method was used to select 12 primary and secondary schools from each league city in Inner Mongolia Autonomous Region. A total of 177 108, 137 758, 190 182, 180 084 , 188 056, 180 351 primary and secondary school students (excluding grades one to three of primary school) were included for physical examination. The correlation between their nutritional status and high blood pressure was analyzed based on the basic situation of 129 821 primary and secondary school students who completed a questionnaire survey at the same time in 2024. Statistical analysis was conducted using a Chi-square test and multiple Logistic regression model. Results: From 2019 to 2024, the detection rates of elevated blood pressure were 13.60%, 13.68%, 17.60%, 17.24%, 14.77% and 15.96%, respectively. The rates for isolated systolic hypertension were 4.24%, 5.83%, 7.26%, 7.19%, 6.24% and 6.93%; isolated diastolic hypertension rates were 6.38%, 4.99%, 6.23 %, 6.41%, 5.39% and 5.66%; and combined systolic and diastolic hypertension rates were 2.97%, 2.86%, 4.11%, 3.65%, 3.14 % and 3.36%. Multivariate Logistic regression analysis showed that girls, junior high school, senior high school, overweight, and obesity were positively associated with elevated blood pressure risk ( OR =1.27, 1.25, 1.32, 1.66, 3.07, all P <0.05); conversely, county residence, Mongolian ethnicity, and other ethnicities showed negative associations ( OR =0.90, 0.93, 0.90, all P <0.05). Conclusions Overweight and obesity among children and adolescents are closely related to various types of elevated blood pressure. Prevention strategies should prioritize effectively controlling weight issues among children and adolescents, thereby effectively reducing the incidence of elevated blood pressure.

Objective To investigate the CT and MRI features of giant cell reparative granuloma(GCRG)in lateral skull base.Methods The CT,MRI and clinicopathological data of 8 patients with GCRG in lateral skull base were collected and analyzed.Results All of the eight lesions were unilateral and solitary(three on the left side and five on the right side),with widespread involvement affecting two or more bony structures of the lateral skull base.All lesions showed expansile and lytic bone destruction on CT scans,the margins were clear(7/8),and the sclerotic changes could be seen at the margin of all eight lesions.On MRI,the lesions revealed heterogeneous isointense and hypointense on T1WI,and heterogeneous hypointense with focal cystic changes on T2WI,without fluid-fluid levels.The enhanced scan showed heterogeneous enhancement.Seven cases extended to the middle cranial fossa,caused com-pression of the temporal lobe brain tissue,with thickened and strengthened adjacent meninges.Conclusion The GCRG in lateral skull base has certain characteristic appearances on CT and MRI;understanding these characteristic manifestations can provide a basis for accurate diagnosis.

Objective To investigate the association of spleen volume with the risk of non-alcoholic fatty liver disease(NAFLD)as well as their causal relationship.Methods We included 90 NAFLD cases and 47 healthy controls who had received contrast-enhanced computed tomography(CT)scan of the abdomen at the Second Affiliated Hospital of Xi'an Jiaotong University from November 2022 to November 2023.We conducted three-dimensional reconstruction of the spleen through a deep learning network model using a two-stage coarse-to-fine segmentation approach.We compared the two groups using the two-sample t test or Mann-Whitney U test for continuous data and using the chi-square test for categorical data;evaluated the correlation between spleen volume and liver function indicators through Pearson correlation or Spearman rank correlation analyses;determined the factors influencing the development of NAFLD through multivariable Logistic regression analysis;and further assessed the casual relationship between spleen volume and NAFLD using the inverse variance-weighted two-sample Mendelian randomization(IVW-MR)method.Results Spleen volume was significantly larger in NAFLD cases than in controls(272.93±104.16 vs 204.37±81.20 cm3,P<0.001).The Spearman rank correlation analysis showed that spleen volume was positively correlated with the hepatic steatosis index(rs=0.422,P<0.001)and gamma-glutamyl transferase levels(rs=0.211,P=0.047)in patients with NAFLD.The multivariable Logistic regression analysis indicated that spleen volume was an independent risk factor for the development of NAFLD(odds ratio[OR]=1.01,95%confidence interval[CI]:1.00-1.02,P=0.049).The IVW-MR analysis detected a causal relationship between spleen volume and NAFLD(OR=1.16,95%CI:1.05-1.28,P=0.005).Conclusion Increased spleen volume may be a risk factor for the development and progression of NAFLD.Further studies are still needed to investigate the specific mechanism.

Objective To evaluate the applicability and guideline concordance of the Chinese Society of Clinical Oncology(CSCO)arti-ficial intelligence(AI)system in clinical decision-making for colorectal cancer(CRC)patients,and to explore its feasibility in real-world clinical applications.Methods A total of 972 CRC patients diagnosed and treated at the Second Affiliated Hospital,Zhejiang University School of Medicine,from January 2010 to December 2021,were included.Patient data were analyzed by the CSCO AI system to gener-ate treatment decisions,and decision concordance was assessed by a blinded independent central review(BICR)panel.The applicability and guideline concordance rates of the CSCO AI system were calculated for different treatment stages,and a logistic regression model was used to analyze factors influencing the system's decision discrepancies with actual treatments.Results The overall applicability rate of the CSCO AI system was 96.2%,and the overall guideline concordance rate was 94.9%.In the adjuvant and palliative treatment stages,the system's applicability rates were 95.8%and 96.7%,respectively,and the guideline concordance rates were 95.0%and 94.9%,respective-ly.Multivariate logistic regression analysis showed that age≥65 years and high-risk stage Ⅱ treatment were significant factors affecting guideline concordance in the adjuvant treatment stage(both P<0.05).Conclusions The CSCO AI system demonstrated high applicability and guideline concordance in the adjuvant and palliative treatment stages for CRC.The system's clinical decision-making potential is sig-nificant,and it can be further optimized for specific clinical scenarios and promoted for use across various medical institutions.