Objective To investigate the radon activity concentrations in subways of Nanning City and assess the average annual effective doses for subway staff and passengers due to radon exposure. Methods Sixty-three stations across the subway lines 2, 3, and 5 were selected as study sites. Radon activity concentrations were measured using the scintillation counting method with scintillation vials. Results The radon activity concentrations in subway lines 2, 3, and 5 were 7.9-24.4, 12.0-26.2, and 12.6-18.2 Bq/m³, respectively. The average radon activity concentrations for these three lines were (17.4 ± 4.6), (19.1 ± 4.1), and (14.6 ± 1.7) Bq/m³, respectively. Statistical analysis using SPSS 26.0 software revealed a significant difference in radon activity concentrations among these stations (P<0.01). Considering the data in previous research, the average radon activity concentration across all stations in the subway lines of Nanning City was determined to be 17.4 Bq/m³. The estimated average annual effective dose due to radon exposure was 0.131 mSv for subway staff and 0.033 mSv for passengers. Conclusion The radon activity concentrations in the subway lines of Nanning City were significantly lower than the national standard limit (400 Bq/m³). The annual effective doses from radon exposure for both subway staff and passengers were below the limits specified in the Basic Standards for Protection Against Ionizing Radiation and for the Safety of Radiation Sources (GB18871—2002). The health impact of radon and its progeny on subway staff and passengers in the subway lines of Nanning City was extremely low and can be considered negligible.

ObjectiveThis study aims to analyze animal models of anxiety disorder based on the clinical characteristics of anxiety disorder in traditional Chinese and Western medicine， systematically assess the clinical compatibility， and provide suggestions for the construction of animal models with a high degree of clinical compatibility between traditional Chinese and Western medicine. MethodsRelevant literature on animal models of anxiety disorder was retrieved from global databases. Scoring scales were developed according to the etiology， pathogenesis， and diagnostic criteria of anxiety disorder in both traditional Chinese and Western medicine. The animal models of anxiety disorder in the literature were analyzed， and their clinical compatibility was systematically assessed to identify reference-worthy models. ResultsThe average clinical compatibility of existing animal models of anxiety disorder was 42.13% for traditional Chinese medicine and 50.94% for Western medicine. Among these， the chronic unpredictable mild stress （CUMS） model had the highest compatibility with both traditional Chinese and Western medicine. However， current models rarely reflect the clinical syndromes of traditional Chinese medicine in depth， and show limitations in syndrome differentiation. ConclusionThe existing animal models of anxiety disorder are mostly established using single-factor approaches， which fail to comprehensively simulate the onset process and physiopathological characteristics of anxiety disorder. These models also neglect the syndrome-based indicators emphasized in traditional Chinese medicine. In the future， the model development should incorporate the clinical characteristics of syndromes in both traditional Chinese and Western medicine， establish standardized evaluation criteria for anxiety disorder models， and utilize multifactorial approaches to enhance the representativeness of animal models in traditional Chinese medicine.

The advancement of tissue clearing technology has significantly propelled neuroscience research. Nevertheless, the fluorescent proteins used in traditional transgenic mouse strains were not specifically optimized for tissue clearing procedures, resulting in a substantial decrease in fluorescent intensity after clearing. In this study, we developed the Ci1 reporter mouse strain (where Ci stands for the Chinese Institute for Brain Research, CIBR) based on the bright red fluorescent protein mScarlet. The Ci1 reporter exhibits no fluorescence leakage in various organs or tissue types and can be readily crossed with multiple tissue-specific Cre lines. Compared to the Ai14 mouse strain, the Ci1 reporter strain demonstrates lower non-specific leakage, stronger fluorescence intensity in different tissues, and better preservation of fluorescence following tissue clearing treatment. The creation of the Ci1 reporter provides a more effective tool for both neuroscience and other biomedical research applications.
Animals ; Luminescent Proteins/metabolism* ; Mice, Transgenic ; Mice ; Red Fluorescent Protein ; Brain/metabolism* ; Genes, Reporter ; Fluorescence

OBJECTIVE To provide standardized whole-process guidance on drug traceability codes for medical institutions in Sichuan province， ensuring medication safety and compliance with medical insurance supervision requirements. METHODS Based on evidence-based principles and expert consensus， Expert Consensus on Whole-process Management of Drug Traceability Codes in Medical Institutions of Sichuan Province （hereinafter referred to as the Consensus） was formulated through systematic literature review， field investigations， establishment of a multidisciplinary expert committee and multiple rounds of questionnare consultation via the modified Delphi method， and finalized through consensus meetings. RESULTS & CONCLUSIONS The Consensus clarifies key operating procedures for code verification， code assignment and code return， whole-process operational standards for drug warehouse acceptance and storage， drug warehouse outbound delivery and pharmacy acceptance check， drug distribution and dispensing in pharmacy and intravenous admixture center， medication administration in nursing units and examination departments， as well as drug return process. Key recommendations are proposed such as improving the core functions of the drug traceability system， unifying the hospital-wide traceability code database， strengthening the management of traceability codes for backup medications， establishing a management organization and institutional framework， and optimizing the architectural design and data governance requirements of the drug traceability system. The release of the Consensus will provide scientific， standardized and implementable practical guidelines for medical institutions of Sichuan province， helping to improve closed-loop management of the drug traceability system， strengthen medication safety and fulfil medical insurance fund supervision.

Healthy lifestyles and good living habits are effective strategies and important approaches to prevent chronic non-communicable diseases. With the development of evidence-based medicine, the evidence translation system has made some achievements in clinical practice. There is, however, no comprehensive, professional and efficient system for translating lifestyle evidence globally. Therefore, the Health Lifestyle Evidence (HLSE) Group of Lanzhou University constructed the HLSE Evidence Translation System (https://hlse.cn/), with the aim of synthesizing, evaluating, translating, and applying lifestyle-related evidence resources. This paper aims to introduce the functional module design of the evidence translation system, the system development process and testing, introduce the interface design and function demonstration, and explain the significance of constructing the HLSE.

Healthy lifestyles and good living habits are effective strategies and important approaches to prevent chronic non-communicable diseases. With the development of evidence-based medicine, the evidence translation system has made some achievements in clinical practice. There is, however, no comprehensive, professional and efficient system for translating lifestyle evidence globally. Therefore, the Health Lifestyle Evidence (HLSE) Group of Lanzhou University constructed the HLSE Evidence Translation System (https://hlse.cn/), with the aim of synthesizing, evaluating, translating, and applying lifestyle-related evidence resources. This paper aims to introduce the functional module design of the evidence translation system, the system development process and testing, introduce the interface design and function demonstration, and explain the significance of constructing the HLSE.

Objective We aimed to investigate the feasibility and method of constructing a traditional Chinese medicine(TCM)curative effect prediction model based on the data of Kechuanting acupoint plastering therapy in the treatment of bronchial asthma(asthma).Methods Data from the Chronic Disease Management Research Platform of 303 patients with asthma who were treated with Kechuanting acupoint plastering therapy for 6 weeks in the Department of Acupuncture and Rehabilitation of Jiangsu Hospital of Traditional Chinese Medicine from June to August 2018 to 2021 were selected.We used Phyton 3.10 for statistical analysis.After data preprocessing,the influencing factors were used to build models by Logistic regression,support vector machine,K-means clustering algorithm,Bayes algorithm,random forest method and Light gradient boosting machine(LightGBM)respectively,with the improvement of asthma control test score(ACT),forced expiratory volume in one second(FEV1)and exhaled nitric oxide(FeNO)as the outcome indicators.Then,the models were compared and analyzed.Subsequently,the superior model was used to establish the efficacy prediction model and verify its stability to obtain the accuracy rate and eliminate the relatively important factors.Results The accuracy rate of the Kechuanting acupoint plastering therapy curative effect prediction model established by the LightGBM model was more than 70%.Five important factors were selected,including allergic history,tabacco and alcohol abuse,plastering duration,ACT before treatment,and FeNO before treatment.According to the classification analysis and the relationship between the important factors and the outcome indicators,Kechuanting acupoint plastering therapy significantly improved the ACT of patients with no history of allergy,no tabacco and alcohol abuse,and poor ACT:5-15 points(P<0.05).Furthermore,Kechuanting acupoint plastering therapy improved FeNO more significantly in patients with more than 3 years of treatment than those with no more than 3 years(P<0.05).However,Kechuanting acupoint plastering therapy only improved FeNO in a few patients with poor asthma control levels(P<0.05)and severe airway inflammation(FeNO>50×10-9)(P>0.05).Conclusion Acupoint plastering application has a significant effect on improving the control level of asthma,but its effect on improving airway inflammation is limited.It is feasible to use data from the chronic disease management research platform to construct the prediction model.After optimization and testing,the predictive model established based on the data of this study may provide an effective evaluation tool for targeted clinical treatment.

Objective Atrial fibrillation(AF)is a disease of high heterogeneity,and the association between AF phenotypes and the outcome of different catheter ablation strategies remains unclear.Conventional classification of AF(e.g.according to duration,atrial size,and thromboembolism risk)fails to provide reference for the optimal stratification of the prognostic risks or to guide individualized treatment plan.In recent years,research on machine learning has found that cluster analysis,an unsupervised data-driven approach,can uncover the intrinsic structure of data and identify clusters of patients with pathophysiological similarity.It has been demonstrated that cluster analysis helps improve the characterization of AF phenotypes and provide valuable prognostic information.In our cohort of AF inpatients undergoing radiofrequency catheter ablation,we used unsupervised cluster analysis to identify patient subgroups,to compare them with previous studies,and to evaluate their association with different suitable ablation patterns and outcomes.Methods The participants were AF patients undergoing radiofrequency catheter ablation at West China Hospital between October 2015 and December 2017.All participants were aged 18 years or older.They underwent radiofrequency catheter ablation during their hospitalization.They completed the follow-up process under explicit informed consent.Patients with AF of a reversible cause,severe mitral stenosis or prosthetic heart valve,congenital heart disease,new-onset acute coronary syndrome within three months prior to the surgery,or a life expectancy less than 12 months were excluded according to the exclusion criteria.The cohort consisted of 1 102 participants with paroxysmal or persistent/long-standing persistent AF.Data on 59 variables representing demographics,AF type,comorbidities,therapeutic history,vital signs,electrocardiographic and echocardiographic findings,and laboratory findings were collected.Overall,data for the variables were rarely missing(<5% ),and multiple imputation was used for correction of missing data.Follow-up surveys were conducted through outpatient clinic visits or by telephone.Patients were scheduled for follow-up with 12-lead resting electrocardiography and 24-hours Holter monitoring at 3 months and 6 months after the ablation procedure.Early ablation success was defined as the absence of documented AF,atrial flutter,or atrial tachycardia>30 seconds at 6-month follow-up.Hierarchical clustering was performed on the 59 baseline variables.All characteristic variables were standardized to have a mean of zero and a standard deviation of one.Initially,each patient was regarded as a separate cluster,and the distance between these clusters was calculated.Then,the Ward minimum variance method of clustering was used to merge the pair of clusters with the minimum total variance.This process continued until all patients formed one whole cluster.The"NbClust"package in R software,capable of calculating various statistical indices,including pseudo t2 index,cubic clustering criterion,silhouette index etc,was applied to determine the optimal number of clusters.The most frequently chosen number of clusters by these indices was selected.A heatmap was generated to illustrate the clinical features of clusters,while a tree diagram was used to depict the clustering process and the heterogeneity among clusters.Ablation strategies were compared within each cluster regarding ablation efficacy.Results Five statistically driven clusters were identified:1)the younger age cluster(n=404),characterized by the lowest prevalence of cardiovascular and cerebrovascular comorbidities but the highest prevalence of obstructive sleep apnea syndrome(14.4% );2)a cluster of elderly adults with chronic diseases(n=438),the largest cluster,showing relatively higher rates of hypertension,diabetes,stroke,and chronic obstructive pulmonary disease;3)a cluster with high prevalence of sinus node dysfunction(n=160),with patients showing the highest prevalence of sick sinus syndrome and pacemaker implantation;4)the heart failure cluster(n=80),with the highest prevalence of heart failure(58.8% )and persistent/long-standing persistent AF(73.7% );5)prior coronary artery revascularization cluster(n=20),with patients of the most advanced age(median:69.0 years old)and predominantly male patients,all of whom had prior myocardial infarction and coronary artery revascularization.Patients in cluster 2 achieved higher early ablation success with pulmonary veins isolation alone compared to extensive ablation strategies(79.6% vs.66.5%;odds ratio[OR]=1.97,95% confidence interval[CI]:1.28-3.03).Although extensive ablation strategies had a slightly higher success rate in the heart failure group,the difference was not statistically significant.Conclusions This study provided a unique classification of AF patients undergoing catheter ablation by cluster analysis.Age,chronic disease,sinus node dysfunction,heart failure and history of coronary artery revascularization contributed to the formation of the five clinically relevant subtypes.These subtypes showed differences in ablation success rates,highlighting the potential of cluster analysis in guiding individualized risk stratification and treatment decisions for AF patients.

Objective To prepare 4-sulfonylcalix[6]arene-modified cotton fibers for adsorption and removal of uranium based on the specific complexation of calix[6]arene with uranium (VI). Methods Chemical grafting was used for the modification of cotton, which reacted with α-bromoisobutyryl bromide, glycidyl methacrylate, and 4-sulfonylcalix[6]arene. Scanning electron microscopy (SEM), X-ray photoelectron spectroscopy (XPS), and infrared spectroscopy (FTIR) were used to characterize the structure of 4-sulfonylcalix[6]arene-modified cotton (Cotton S-C[6]a). A Franz diffusion cell was used to simulate uranium-contaminated skin. Laser fluorimetry was used to determine the uranium content. Results SEM, XPS, and FTIR showed that cotton fibers were successfully grafted with 4-sulfonylcalix[6]arene. The optimal conditions of Cotton S-C[6]a for the adsorption of uranium (VI) was pH 4.0, duration of 20 min, and 20 mg of adsorbent. The adsorption process fitted well with pseudo-secondary-order kinetics. The uranium removal efficiency of Cotton S-C[6]a was up to 78.46% in aqueous solution and 81.72% on skin. Conclusion The synthesized Cotton S-C[6]a is highly efficient in the removal of uranium (VI) in solution and on contaminated skin.

Objective:To explore MRI T 2-mapping and blood oxygenation level dependent (BOLD) to evaluate the functional changes of paraspinal muscle in rats with discogenic low back pain (DLBP) after swimming. Methods:Totally 54 female 1-month-old SD rats were selected, which were divided into 3 groups by random number table method, sham operation (Sham) group, DLBP non-swimming group and DLBP swimming group, with 18 rats in each group. Under the guidance of X-ray fluoroscopy, the L4/5 and L5/6 intervertebral discs of the rats in the DLBP non-swimming group and DLBP swimming group were punctured by the posterior approach, and establishment of DLBP rat model by destroying nucleus pulposus, and only paraspinal muscles at the same level were punctured in the Sham group. After modeling, the DLBP swimming group received swimming exercise intervention for 5 consecutive days (30 min/d), while the DLBP non-swimming group and Sham group did not receive any rehabilitation exercise intervention. Each group was divided into 3 time point subgroups on average, the T 2-mapping and BOLD sequences were scanned at 30, 90 and 180 days after modeling to obtain the T 2 value, R 2* value of the paraspinal muscles, and the paraspinal muscles at the modeling level were taken for immunofluorescence staining, and the fluorescence intensity of myosin heavy chain (MYH)1 (type Ⅱ muscle fiber) and MYH7 (type I muscle fiber) was analyzed. One-way analysis of variance was used for comparison among the 3 groups, and the Bonferroni method was used for multiple comparisons, and Pearson correlation coefficient was used to evaluate the correlation between quantitative MRI parameters T 2 value, R 2* value and MYH1, MYH7 immunofluorescence intensity of rat paraspinal muscles at 180 days after modeling. Results:At 30 days after modeling, there was no significant difference in T 2 value and R 2* value among the 3 groups (all P>0.05). At 90 days after modeling, the T 2 value of the DLBP swimming group was higher than that of the DLBP non-swimming group, and the T 2 value of the DLBP non-swimming group was lower than that of the Sham group (all P<0.05), and there was no significant difference in the R 2* value among the 3 groups ( P>0.05). At 180 days after modeling, the T 2 value of the DLBP swimming group was higher than that of the DLBP non-swimming group, and the R 2* value was lower than that of the DLBP non-swimming group; the T 2 value of the DLBP non-swimming group was lower than that of the Sham group, and the R 2* value was higher than that of the Sham group (all P<0.05). At 30 and 90 days after modeling, there was no significant difference in the expressions of MYH1 and MYH7 among the 3 groups (all P>0.05). At 180 days after modeling, the expression of MYH1 decreased and the expression of MYH7 increased in the DLBP swimming group compared with the DLBP non-swimming group; the expression of MYH1 increased and the expression of MYH7 decreased in the DLBP non-swimming group compared with the Sham group (all P<0.05). At 180 days after modeling, the T 2 value had a moderate negative correlation with the fluorescence intensity of MYH1 ( r=-0.511, P=0.043), and a moderate positive correlation with the fluorescence intensity of MYH7 ( r=0.564, P=0.023); R 2* value was moderate positive correlated with the fluorescence intensity of MYH1 ( r=0.625, P=0.010), and moderate negative correlated with the fluorescence intensity of MYH7 ( r=-0.653, P=0.006). Conclusions:Swimming exercise can improve the reduction of water content and perfusion in the paraspinal muscles of DLBP rats, and reduce the transformation of muscle fibers from type Ⅰ to type Ⅱ, the changes of T 2 and R 2* value can reflect the transformation of paraspinal muscle fiber types to a certain extent.