ObjectiveThis study aimed to investigate whether Bushen Tongluo prescription inhibits macrophage polarization by regulating the Wnt3a/β-catenin signaling pathway， thereby reducing epithelial-mesenchymal transition and excessive extracellular matrix deposition， in order to elucidate the anti-pulmonary fibrosis mechanisms of Bushen Tongluo prescription and provide a new theoretical basis for the clinical treatment of pulmonary fibrosis. MethodsFifty male Sprague-Dawley （SD） rats were randomly divided into a blank group， model group， pirfenidone group， and high- and low-dose Bushen Tongluo prescription groups. Except for the blank group， the pulmonary fibrosis model was established by intratracheal instillation of bleomycin. Intervention was initiated on day 28 after modeling. The high- and low-dose Bushen Tongluo prescription groups were administered Bushen Tongluo prescription at doses of 30.88， 15.44 g·kg^-1， respectively， by intragastric gavage. The pirfenidone group was administered pirfenidone capsules at 110 mg·kg^-1 by intragastric gavage. The blank and model groups were given an equal volume of normal saline by gavage， once daily for 90 days. After treatment， the level of transforming growth factor-β₁ （TGF-β₁） in bronchoalveolar lavage fluid （BALF） was detected by enzyme-linked immunosorbent assay （ELISA）. Morphological changes in lung tissue and the collagen volume fraction were compared. The protein distribution and expression of E-cadherin， cytokeratin 19， α-smooth muscle actin （α-SMA）， vimentin， collagen type Ⅰ （Col Ⅰ）， and collagen type Ⅲ （Col Ⅲ） in lung tissue were detected by immunohistochemistry. The protein distribution and expression of CD68， arginase-1 （Arg-1）， inducible nitric oxide synthase （iNOS）， Wnt3a， and β-catenin in lung tissue were detected by immunofluorescence. The protein expression of Wnt3a and β-catenin in lung tissue was detected by Western blot， and the mRNA expression of Wnt3a and β-catenin was detected by Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. ResultsCompared with the blank group， a large number of inflammatory cells infiltrated the airway walls， alveolar spaces， and interstitial tissue in the model group， with obvious fibrous tissue hyperplasia. The level of TGF-β₁ in BALF was significantly increased. The protein expression of E-cadherin and cytokeratin 19 in lung tissue was decreased， whereas the protein expression of α-SMA， Vimentin， Wnt3a， β-catenin， Col Ⅰ， and Col Ⅲ was increased. The fluorescence-positive area ratios of CD68， Arg-1， iNOS， Wnt3a， and β-catenin in lung tissue were increased. The protein and mRNA expression levels of Wnt3a and β-catenin in lung tissue were significantly increased （P<0.01）. Compared with the model group， all treatment groups showed varying degrees of improvement in inflammatory cell infiltration and fibrous tissue hyperplasia in the airway walls， alveolar spaces， and interstitial tissue， decreased TGF-β₁ levels in BALF， increased protein expression of E-cadherin and cytokeratin 19 in lung tissue， decreased protein expression of α-SMA， Vimentin， Col Ⅰ， and Col Ⅲ， decreased fluorescence-positive area ratios of CD68， Arg-1， iNOS， Wnt3a， and β-catenin in lung tissue， and decreased protein and mRNA expression levels of Wnt3a and β-catenin in lung tissue （P<0.05， P<0.01）. ConclusionBushen Tongluo prescription can improve bleomycin-induced pulmonary fibrosis in rats by inhibiting epithelial-mesenchymal transition and reducing excessive extracellular matrix deposition. The mechanism may be related to inhibition of the Wnt3a/β-catenin signaling pathway and the macrophage polarization mediated by this pathway.

BackgroundIndividuals with chronic multimorbidity exhibit a high prevalence of sleep disturbances， which impair their physical and psychological well-being and impede chronic disease management. Although sleep quality is closely influencing with psychological functioning， empirical evidence regarding the longitudinal trajectories of sleep quality and their influencing factors in this population remains insufficient. ObjectiveTo investigate the longitudinal trajectories of sleep quality and associated factors among patients with chronic multimorbidity from hospitalization through 6 months post-discharge， aiming to facilitate the early identification of high-risk individuals and the development of personalized sleep interventions. MethodsA total of 228 inpatients with chronic multimorbidity， primarily with cardiovascular and metabolic chronic conditions， were enrolled via random sampling at The Third People's Hospital of Fuyang from January 2023 to September 2024. Baseline assessments were conducted during hospitalization using the general socio-demographic questionnaire， the Sleep Dysfunction Rating Scale （SDRS）， the Ruminative Response Scale （RRS）， and the Hospital Anxiety and Depression Scale （HADS）. Sleep quality was further evaluated using the SDRS at 1-， 3-， and 6-month post-discharge. Latent class growth model was employed to delineate trajectories of sleep quality. Multivariate logistic regression analysis was subsequently performed to identify influencing factors of sleep quality. ResultsA total of 201 patients with chronic diseases were included.Based on four predefined assessment time points （baseline， 1 month， 3 months， 6 months post-discharge）， the latent class growth model identified three distinct trajectories of sleep quality： persistent high sleep disturbance （n=72， 35.82%）， moderate sleep disturbance-progression （n=73， 36.32%）， and low sleep disturbance （n=56， 27.86%）. Multivariate logistic regression analysis revealed that， compared with the low sleep disturbance group， multiple factors increased the odds of membership in the persistent high sleep disturbance group： per capita monthly household income of <3 000 yuan （β=13.131， P<0.01） or 3 000–5 000 yuan （β=5.913， P<0.05）， aged 45–65 years （β=9.536， P<0.05）， presence of 3 （β=7.792， P<0.05） or >3 comorbid chronic conditions （β=6.626， P<0.05）， as well as higher RRS （β=0.334， P<0.01） and HADS score （β=1.628， P<0.01）. Additionally， patients aged 45–65 years （β=2.777， P<0.05）， with 3 （β=3.802， P<0.01） or >3 comorbid chronic conditions （β=2.463， P<0.01）， and with higher RRS （β=0.111， P<0.01） and HDAS scores （β=0.350， P<0.05） also demonstrated significantly increased odds of belonging to the moderate sleep disturbance–progression group. ConclusionThere is significant population heterogeneity in sleep quality trajectories among patients with chronic multimorbidity， with age， per capita household monthly income， number of comorbidities， rumination， and anxiety/depression symptoms being identify as the primary influencing factors.

OBJECTIVE Aimd to investigate the prevalence of olfactory dysfunction among healthy elderly individuals in China using a large sample size and to explore its correlations with demographic and other factors.METHODS A total of 5 258 participants who aged 60 and above underwent the T&T olfactometer test and completed questionnaires.The prevalence of olfactory dysfunction was reported,and logistic regression analyses were performed to assess the associations between olfactory dysfunction and other factors.RESULTS The overall prevalence of olfactory dysfunction in the study was 26.5%.Independent risk factors for olfactory dysfunction included advanced age,rural residence(OR=1.88,95%CI:1.60-2.22,P<0.01),current smoking(OR=1.45,95%CI:1.15-1.83,P<0.01),and self-reported olfactory dysfunction(OR=10.12,95%CI:8.44-12.14,P<0.01).In contrast,female gender(OR=0.70,95%CI:0.58-0.85,P<0.01)and high educational attainment were independently associated with a lower prevalence of olfactory dysfunction.CONCLUSION The prevalence of olfactory dysfunction among individuals aged 60 and above increased with age.Male gender,rural residence,low educational attainment,current smoking,and self-reported decline in olfactory function were independently associated with olfactory dysfunction.

Objective:To introduce an innovative concept teaching method called the core case analysis (CCA), to evaluate its application in teaching, and to provide a theoretical basis and practical reference for improving teaching effectiveness and cultivating practical talents.Methods:This paper elaborated the application strategies of CCA in teaching health service management courses. All the students of two undergraduate classes who studied "health service management" and enrolled in 2021 and 2020 at a medical university were selected as the research objects. The students were divided into experimental group and control group according to whether they received the CCA teaching method. A statistical analysis was performed on the scores of single-choice questions designed for concept definition and term explanation questions in the final exam. SPSS 23.0 software was used for t test. A questionnaire survey was conducted in the experimental group to comprehensively evaluate the effectiveness of teaching with the CCA method. Results:The score of the experimental group was significantly higher than that of the control group [(14.00±1.41) vs. (12.05±2.15), P=0.002]. The questionnaire showed that the teaching effectiveness of the CCA method and the students' acceptance of the method were relatively high. Conclusions:Compared with the traditional concept teaching method, the CCA method has advantages and is worthy of promotion and application in related teaching fields. Moreover, several key points of this method in teaching practice are put forward: emphasizing the combined use of multiple teaching methods, cultivating a professional teaching team, and optimizing the concept assessment and evaluation system.

Objective:To evaluate the mediating effect of electrocardiographic (ECG) indicators in the association between short-term exposure to fine particulate matter (PM 2.5) and blood pressure and to explore the key PM 2.5 element constituents that produce the mediating effect. Methods:Based on a cross-sectional survey across 10 cities in the Beijing-Tianjin-Hebei region and surrounding areas, PM 2.5 and its element constituents were collected from the nearest air monitoring superstation. Blood pressure and ECG indicators of participants were obtained through physical examinations. A multivariate linear regression was used to evaluate the effect of short-term exposures to PM 2.5 on blood pressure. A mediation analysis was used to identify the mediating effect of ECG indicators in the association between exposure to PM 2.5 and its element constituents and blood pressure. Results:The age of the 1 793 participants was (65.1±13.3) years, and 885 (49.4%) were males. During the study period, the daily mean concentration of PM 2.5 was (70±45) μg/m 3, and the systolic blood pressure (SBP), diastolic blood pressure (DBP), mean arterial pressure (MAP) and pulse pressure (PP) were (139±20), (82±11), (101±13), and (57±17) mmHg (1 mmHg=0.133 kPa), respectively. The results of the multivariate linear regression showed that for every 10 μg/m 3 increase in PM 2.5 on the same day (lag 0), DBP increased by 0.15 (95% CI: 0.02-0.28) mmHg, and PP decreased 0.18 (95% CI: 0.36-0.01) mmHg. The exposure to 14 elemental constituents, such as Ga, Co and Se, was associated with an increase in DBP, while the exposure to 17 elemental constituents, such as Cs, Se and Ag, was associated with a decrease in PP. At lag 0, the PM 2.5-induced increase in DBP was mediated by the QRS interval (mediation percentage of 18.98%), and the PM 2.5-induced decrease in PP was mediated by the QT interval (mediation percentage of -6.31%). The exposure to K, Br, Pb, Zn, Ca, Co, Pd, Cu, and As constituents was associated with increases in DBP mediated by prolonged QRS interval. The exposure to Pb, Zn, K, and As constituents was associated with decreases in PP mediated by prolonged QRS interval. Conclusion:ECG indicators such as QRS interval may mediate the association between short-term exposure to PM 2.5 and its element constituents and blood pressure.

Objective To explore the value of Turbo-Flash mode CT scanning for displaying calcification of ligamentum arteriousum(CLA)in infants and young children.Methods Chest CT data obtained with Turbo-Flash mode scanning of 1 762 infants and young children(aged 1 to 36 months)with suspected lung,trachea or bronchi lesions were retrospectively analyzed.Children were divided into group A to L according to age at 3-month intervals.CLA was evaluated and its CT manifestations were analyzed.The incidence of CLA in each group was counted,the density of CLA was measured,and their correlations with age were observed.Results Among 1 762 children,912 was found with CLA(912/1 762,51.76%).The incidence of CLA in group A—L was 34.29%(12/35)—59.35%(92/155),respectively.All CLA located in the arterial ligaments between the left side of pulmonary trunk and the origin level of left subclavian artery of the aorta and shaped differently.The density of CLA in group A—L was(183.36±50.16)—(295.80±105.91)HU,respectively.The incidence of CLA in group A—F was positively(r=0.945,P=0.002),while in group F—L was negatively correlated with age(r=-0.765,P=0.045).Meanwhile,the density of CLA in group A—F was positively correlated with age(r=0.775,P=0.020),but no significant correlation between CLA density and age was found in G—L group(P=0.593).Conclusion Turbo-Flash mode CT scanning had high clinical application value for displaying CLA in infants and young children.

Objective:To investigate the X-chromosome inactivation (XCI) patterns and origin in four children with Rett syndrome (RTT), and to explore the genetic basis of their phenotypic variability.Methods:Four pediatric RTT cases diagnosed at Northwest Women′s and Children′s Hospital between August 1, 2022 and October 31, 2024 were enrolled. Clinical data were collected, and whole exome sequencing (WES) and Sanger sequencing were performed on the children and their parents to identify pathogenic variants. XCI analysis and linkage studies were conducted to determine the origin of variants and assess skewed XCI. This study was approved by the Medical Ethics Committee of the Northwest Women′s and Children′s Hospital (Ethics No. 21-036).Results:① WES and Sanger sequencing revealed that the four children carried the following MECP2 (NM_001110792.2) variants: c. 916C>T (p.Arg306Cys), c. 842delG (p.G281Afs*20), c. 763C>T (p.R255X), and c. 686C>T (p.Pro229Leu). The c. 916C>T variant was maternally inherited, while the other three were de novo. ② All four variants have been previously reported. c. 916C>T, c. 842delG, and c. 763C>T were classified as pathogenic, whereas c. 686C>T was deemed likely pathogenic. ③ XCI analysis demonstrated skewed inactivation in child 2 and 3 and their mothers, with maternal X-chromosome recombination during gametogenesis observed in child 3. All variants were located on the maternal X chromosome. Conclusion:Skewed XCI is a common pathogenic mechanism in MECP2-related RTT, and MECP2 variants may exhibit a maternal origin bias. Clinical evaluation should incorporate XCI status for comprehensive genetic analysis.

Objective:To introduce an innovative concept teaching method called the core case analysis (CCA), to evaluate its application in teaching, and to provide a theoretical basis and practical reference for improving teaching effectiveness and cultivating practical talents.Methods:This paper elaborated the application strategies of CCA in teaching health service management courses. All the students of two undergraduate classes who studied "health service management" and enrolled in 2021 and 2020 at a medical university were selected as the research objects. The students were divided into experimental group and control group according to whether they received the CCA teaching method. A statistical analysis was performed on the scores of single-choice questions designed for concept definition and term explanation questions in the final exam. SPSS 23.0 software was used for t test. A questionnaire survey was conducted in the experimental group to comprehensively evaluate the effectiveness of teaching with the CCA method. Results:The score of the experimental group was significantly higher than that of the control group [(14.00±1.41) vs. (12.05±2.15), P=0.002]. The questionnaire showed that the teaching effectiveness of the CCA method and the students' acceptance of the method were relatively high. Conclusions:Compared with the traditional concept teaching method, the CCA method has advantages and is worthy of promotion and application in related teaching fields. Moreover, several key points of this method in teaching practice are put forward: emphasizing the combined use of multiple teaching methods, cultivating a professional teaching team, and optimizing the concept assessment and evaluation system.

OBJECTIVE: To investigate the X-chromosome inactivation (XCI) patterns and origin in four children with Rett syndrome (RTT), and to explore the genetic basis of their phenotypic variability. METHODS: Four pediatric RTT cases diagnosed at Northwest Women's and Children's Hospital between August 1, 2022 and October 31, 2024 were enrolled. Clinical data were collected, and whole exome sequencing (WES) and Sanger sequencing were performed on the children and their parents to identify pathogenic variants. XCI analysis and linkage studies were conducted to determine the origin of variants and assess skewed XCI. This study was approved by the Medical Ethics Committee of the Northwest Women's and Children's Hospital (Ethics No. 21-036). RESULTS: WES and Sanger sequencing revealed that the four children carried the following MECP2 (NM_001110792.2) variants. c.916C>T (p.Arg306Cys), c.842delG (p.G281Afs*20), c.763C>T (p.R255X), and c.686C>T (p.Pro229Leu). The c.916C>T variant was maternally inherited, while the other three were de novo. All four variants have been previously reported: c.916C>T, c.842delG, and c.763C>T were classified as pathogenic, whereas c.686C>T was deemed likely pathogenic. XCI analysis demonstrated skewed inactivation in child 2 and 3 and their mothers, with maternal X-chromosome recombination during gametogenesis observed in child 3. All variants were located on the maternal X chromosome. CONCLUSION Skewed XCI is a common pathogenic mechanism in MECP2-related RTT, and MECP2 variants may exhibit a maternal origin bias. Clinical evaluation should incorporate XCI status for comprehensive genetic analysis.
Child ; Humans ; Chromosomes, Human, X/genetics* ; Exome Sequencing ; Methyl-CpG-Binding Protein 2/genetics* ; Mutation ; Rett Syndrome/genetics* ; X Chromosome Inactivation/genetics*

Objective:To construct a risk classification model for adverse events of medical consumables,so as to achieve automatic evaluation for risk level of such events,and enhance the capability for risk management of adverse events of medical consumables,and ensure the safety of medical apparatuses.Methods:The data of adverse events of medical consumables of 370 cases of 148 types that were reported by Shandong Provincial Third Hospital from 2020 to 2023 were selected,and they were divided into high-risk and low-risk types.Eight key factors of them,which included the number of cases,injury level,type of registration certificate,with source and without source,high-value and low-value,domestic and imports,product classification,and risk levels,were counted to form a dataset.K-nearest neighbor(KNN),support vector machine(SVM)and decision tree algorithms in machine learning were used to construct a risk classification model for adverse events of medical consumables.The data of 12 adverse events of medical consumables of 5 types of our hospital,which were newly reported in 2024,were integrated for their parameters.Then,the accuracy rate and prediction performance of the model were further analyzed.Results:By comparing the KNN,SVM and decision tree algorithm models,the effect of SVM algorithm model was better,and its accuracy rate was 90.54%,and its area under curve(AUC)value of the receiver operating characteristic(ROC)curve was 0.944,and its Kolmogorov-Smirnov(KS)test value was 0.808.The model had favorable predictive performance.The results,that invoked SVM algorithm model to conduct verification of actual prediction for 12 adverse events of medical consumables of 5 types,indicated it was same between predictive outcomes and risk levels of manual evaluation.Conclusion:The risk classification model of adverse events of medical consumables has established an operational model for assessing the risk level of such events,which can assist monitoring personnel for adverse event of medical apparatuses to quickly and accurately find risk signals of adverse events of medical consumables,and improve the monitoring capability of them for these adverse events.