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.

Purpose: There is still insufficient evidence for predicting stroke risk in patients with mild carotid atherosclerotic stenosis. This study aimed to explore the association between carotid intraplaque neovascularization (IPN) in mild stenosis and ischemic stroke, using contrast-enhanced ultrasound (CEUS) imaging. Methods: This retrospective observational study included 369 patients from July 2021 to March 2022. These patients were categorized as symptomatic or asymptomatic based on their recent history of ipsilateral ischemic stroke. Initial parameters of carotid plaques, such as IPN grading and contrast enhancement index, were assessed using B-mode ultrasonography and CEUS. The follow-up period lasted 12 months or until a newly-developed ischemic stroke occurred. Logistic regression models and Cox proportional-hazards regression models were employed to explore the associations between ultrasonic parameters and the incidence of recent and future ischemic strokes. Results: In patients with mild stenosis, both increasing age and grade 2 carotid IPN were significant predictors of recent primary ischemic stroke. Furthermore, grade 2 carotid IPN independently predicted future ischemic strokes in both symptomatic and asymptomatic patients. Conclusion This study demonstrated that carotid IPN as detected by CEUS imaging holds potential as a useful non-invasive biomarker for predicting recent and future ischemic strokes in patients with mild carotid stenosis.

Objective:To explore the impact of a comprehensive intervention program that integrates transitional care with personalized discharge preparation services on discharge preparedness on the growth, development, and motor development in premature infants, providing guidance and reference for clinical practice.Methods:The 90 pairs of premature infants and their main caregivers who were treated in the neonatal department, Children ′s Hospital, Quanzhou Maternal and Child Health Hospital were studied from February 2023 to February 2024 by randomized control method. Used the table of random numbers, they were divided into the control group and the observation group, with 45 pairs in each group. The control group routinely administered care, while the observation group was implemented a transitional care combined with personalized discharge preparation services. The discharge preparedness, growth and motor development, and the disease uncertainty of caregivers were observed between the 2 groups. Results:There were 27 males and 18 females of the 45 preterm infants,with gestational age of 30.86 (29.36, 31.50) weeks in the control group, 24 males and 21 females with gestational age of 30.29(29.00, 31.07) weeks in the observation group. The main caregiver identities 43 were mothers and 2 were other identities in the control group, 42 were mothers and 3 were other identities in the observation group, with them being 31.00(28.00, 35.00) years old. There were 97.78% (44 /45) caregivers who thought the child was ready to go home in the observation group, while the control group were 84.44% (38 /45), these differences were statistically significant ( χ2=4.88, P<0.05). The total score of discharge readiness in the observation group were 240.00(237.00, 242.50) points, higher than in the control group 226.00(219.00, 229.50) points, these differences were statistically significant ( Z=-6.23, P<0.05). The head circumference and body weight of the observation group were (34.82 ± 1.14) cm and (3.60 ± 0.55) kg, while the control group were (34.25 ± 1.22) cm and (3.35 ± 0.53) kg, there were statistically significant between the two groups ( t=-2.29, -2.22, all P<0.05). The Test of Infant Motor Performance score in the observation group was 50.00(46.00, 52.00) points, while the control group was 45.00(42.00, 48.00) points, there were statistically significant between the two groups ( Z=-3.65, P<0.05). The total score of disease uncertainty in the observation was 52.00(45.50, 60.00) points, while the control group was 61.00(58.50, 65.00) points, there was statistically significant between the two groups ( Z=-4.62, P<0.05). Conclusions:The discharge preparedness of the caregivers of preterm infants was improved because of the use of transitional care combined with personalized discharge preparation services, and the growth and motor development of preterm infants were promoted, and the uncertainty of the family caregivers of preterm infants about the disease was reduced.

Polycystic ovary syndrome (PCOS) is a common reproductive endocrine disorder in women of childbearing age, which can cause metabolic disorders, cardiovascular disease, ovarian cancer, uterine cancer and other complications, seriously endangering the health of the body. China has become one of the countries with the fastest increasing prevalence of PCOS, but its complex pathogenesis leads to highly heterogeneous clinical manifestations, making it difficult to completely cure. Therefore, clarifying the potential pathogenesis of PCOS is of great significance for early clinical screening, diagnosis, treatment, and prognosis. Recent studies have shown that long noncoding RNA (lncRNA) plays a dual role in the pathogenesis of PCOS and is a potential novel biomarker and intervention target. The characteristics of multi-component, multi-target, and multi-pathway action in Traditional Chinese Medicine (TCM) are consistent with the biological properties of lncRNA, which have diverse types, dual roles, and diverse locations. However, research on lncRNA mediated PCOS and how TCM can improve PCOS by regulating lncRNA is relatively scattered, which is not conducive to the recognition of its clinical value. Therefore, this article provides a systematic review of the dual regulatory mechanism, clinical value, and TCM intervention research of lncRNA in the occurrence and development of PCOS, aiming to clarify how lncRNA affects the occurrence and development of PCOS and potential treatment strategies, in order to provide new ideas for the clinical prevention and treatment of PCOS.

Objective:To investigate the use of targeted next generation sequencing (tNGS) for the detection of drug resistance in mycoplasma pneumoniae pneumonia (MPP) and analyze the clinical characteristics of MPP.Methods:The clinical data of patients with MPP who underwent bronchoalveolar lavage fluid tNGS at the Department of Respiratory and Critical Care Medicine, The Third People's Hospital of Hubei Province, Jianghan University from February 2022 to February 2024 were collected. According to inclusion and exclusion criteria, 80 patients with MPP were included in this study. The clinical data of the patients were retrospectively analyzed. tNGS of bronchoalveolar lavage fluid was performed to assess drug resistance in MPP. These patients were divided into a drug resistance group ( n = 55) and a non-drug resistance group ( n = 25) based on the presence or absence of the 23SrRNA:A2063G drug resistance mutation. Patient's clinical characteristics were compared between the two groups. The significant indicators from the univariate analysis were introduced into a binary logistic regression model to analyze the independent predictors of drug resistance and their predictive values. Results:The median age of patients with MPP was 38 years, with 53.75% (43/80) being female. Among the patients, 62.50% (50/80) had no underlying diseases, and 68.75% (55/80) exhibited drug resistance, while 42.50% (34/80) had mixed infections. The three most common clinical symptoms were cough (92.50%, 74/80), fever (62.50%, 50/80), and dyspnea (31.25%, 25/80). The most common imaging findings in MPP included patchy shadows (48.75%, 39/80) and consolidation shadows (42.50%, 34/80). Nodular shadows (7.50%, 6/80), tree-in-bud signs (5.00%, 4/80), ground-glass opacities (11.25%, 9/80), bronchial wall thickening (3.75%, 3/80), and pleural effusions (5.00%, 4/80) were not common. Bilateral lesions were present in 40.00% (32/80) of cases. In laboratory examinations, the median levels of inflammatory markers C-reactive protein (39.45 mg/L), procalcitonin (0.08 g/L), and serum amyloid A (168.31 mg/L) were increased. The median or mean levels of other indicators were within the normal range. There were no significant differences between the drug resistance and non-drug resistance groups in terms of gender, age, underlying diseases, clinical symptoms, length of hospital stay, mixed infection rate, mycoplasma pneumoniae (MP)-IgG positivity, MP-IgM level > 300 AU/mL, MP-DNA positivity, percentage of lymphocytes, platelet count, number of lymphocytes, and procalcitonin, D-dimer, prealbumin, lactate dehydrogenase, alanine aminotransferase, aspartate aminotransferase, and albumin levels as well as imaging findings (all P > 0.05). In the drug resistance group, the number of fever days, sequence number, white blood cell count, percentage of neutrophils, C-reactive protein level, and serum amyloid A level were as follows: 4 (0, 7), 24464.00 (2754.00, 43457.00), 7.35 (6.09, 9.84), 73.70 (67.20, 73.70), 39.82 (20.82, 70.40), and 205.40 (81.08, 338.30), respectively. These values were significantly higher than those in the non-drug resistance group [2 (0, 4.50), 658.00 (323.00, 7593.00), 6.12 (5.04, 7.20), 64.45 (58.58, 76.33), 35.63 (4.94, 57.36), 81.30 (12.51, 243.76), Z = -2.43, -4.67, -2.72, -2.36, -2.04, -2.37]. The albumin level in the drug resistance group was 41.50 (38.10, 44.30), which was significantly lower than that in the non-drug resistance group [43.55 (40.03, 46.05), Z = -2.07, P < 0.05]. In the binary logistic regression analysis, the sequence number was identified as an independent predictor of drug resistance. When the sequence number exceeded 1001, the area under the curve value was 0.827, with a sensitivity of 94.5% and specificity of 68.0%. Conclusions:The clinical manifestations of MPP are similar in both the macrolide-resistant and the non-resistant groups. However, the drug-resistant group exhibits a greater number of fever days, higher sequence numbers, and more severe inflammatory responses. The sequence number of MPP can be used to predict drug resistance. When the sequence number exceeds 1001, its predictive value for drug resistance is significantly higher.

Objective To explore the differences and similarities in the changes of pulp repair response after direct pulp capping with iRoot BP Plus and MTA.Methods A total of 36 male SD rats were randomly divided into 3 groups,namely iRoot BP Plus group,MTA group and blank control group.Dental pulp exposure and direct pulp capping was performed on both sides of maxillary first molars of each rat.Four rats were randomly selected and sacrificed from each group at 7,14,and 28 days postoperatively,and the specimens were taken for hematoxylin-eosin(HE)staining,and then each index was observed.Results ①From the perspective of dentin tubular formation quality,at 14 d and 28 d,there were statistical differences between iRoot BP Plus group and MTA group(P＜0.05),and iRoot BP Plus was significantly better than MTA in terms of quality of restorative dentin formation.②At 14 days after operation,iRoot BP Plus had a greater area of neodontinin than that in MTA group(P＜0.05).Conclusion Both iRoot BP Plus and MTA can promote the formation of restorative dentin bridges after direct pulp capping,and the formation quality is high.The long-term effects need to be further studied.

Objective:To explore the dual mediating effects of health belief and depression among health knowledge, social support, and health behaviors based on the capacity, opportunity, motivation-behavior (COM-B) model, and analyze the influencing factors of health behaviors in patients with ischemic stroke.Methods:This multi-center cluster sampling research recruited ischemic stroke patients ( n=1 696) who were hospitalized in neurology departments of five tertiary hospitals in Henan Province from October 2023 to October 2024. A cross-sectional investigation was conducted using the general information questionnaire, social support rating scale (SSRS), stroke prevention knowledge questionnaire(SPKQ), short form health belief model scale(SF-HBMS), health promoting lifestyle profile-Ⅱ (HPLP-Ⅱ), and patient health questionnaire-9(PHQ-9) to ultimately reveal the pathways and effect sizes among variables. Partial correlation analysis and multiple linear stepwise regression analysis were conducted to examine the relationships among social support, health knowledge, health belief, health behaviors, and depression in stroke patients by SPSS 26.0 software. Structural equation modeling was constructed using AMOS 28.0 software, and the mediating effect was tested using the Bootstrap method. Results:The scores of social support, health knowledge, health belief, and health behaviors among ischemic stroke patients were (37.46±9.94), (26.56±6.84), (75.62±12.62) and (130.79±26.27), respectively. The score of depression was 5.00 (2.00, 8.00). Health behaviors were positively correlated with health knowledge, social support, and health belief( r=0.333, 0.246, 0.267, all P<0.05), while negatively correlated with depression ( r=-0.146, P<0.05). Multiple linear stepwise regression analysis showed that health knowledge, social support, health belief, and depression were all influencing factors of health behaviors in ischemic stroke patients (all P<0.05). Health belief (effect value=0.068, 95% CI=0.048-0.093) and depression (effect value=0.009, 95% CI=0.003-0.018) both played partial mediating roles between health knowledge and health behaviors, accounting for 17.3%(0.077/0.446) of the total effect. Meanwhile, health belief (effect value=0.045, 95% CI=0.029-0.063) and depression (effect value=0.016, 95% CI=0.008-0.027) both played partial mediating roles between social support and health behaviors, accounting for 26.5%(0.061/0.230) of the total effect. Conclusion:Health knowledge and social support can not only directly influence health behaviors but also indirectly affect them through health belief and depression in patients with ischemic stroke.

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.

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.

ObjectiveThis study aims to enhance of the farnesyl pyrophosphate（FPP） pool in Saccharomyces cerevisiae by heterologously expressing different farnesyl diphosphate synthases（FPSs） from various plants， thereby increasing the production of terpenoid compounds by the engineered yeast. MethodsRNA from mixed samples of roots， stems， and leaves of seven plants including Arabidopsis thaliana， Rosa rugosa， Artemisia annua， Centella asiatica， Humulus lupulus， Medicago sativa， and Panax ginseng was extracted by column chromatography and reverse transcribed into the first strand of complementary DNA（cDNA）， and based on the transcriptome data of the seven species of plants， sequence-specific primers were designed for CaFPS， RrFPS， MsFPS， HiFPS， PgFPS， AtFPS， and AaFPS， the full-length of the genes was cloned， and the genes were analyzed for bioinformatics in order to construct a pESC yeast shuttle vector. These seven plant-derived FPSs were further heterologously expressed in the previous constructed β-elemene-producing yeast， and the yield of β-elemene was indicated for their catalytic acivities. ResultsThe coding sequences of CaFPS， RrFPS， MsFPS， HiFPS， PgFPS， AtFPS， and AaFPS were all of 1 021 bp in length and encoding 301 amino acids， all of which were similarly related to the endogenous FPS-encoding gene（ERG20） in S. cerevisiae. After heterologous expression， RrFPS was identified as the most effective in catalyzing the synthesis of FPP from isopentenyl pyrophosphate（IPP） and dimethylallyl pyrophosphate（DMAPP）. Compared to the control strains， the RrFPS overexpressed yeast strains YB-1-Rr and YB-3-Rr increased the production of β-elemene by 231.25% and 189.3%， respectively. ConclusionBy comparing the functions of FPS-encoding genes from seven different plant sources， it is determined that the protein encoded by the RrFPS from R. rugosa has the best catalytic ability， which can provide key genetic elements for the construction of engineered yeast strain constructs with high terpenoid production.