The rapid screening of bioactive constituents within traditional Chinese medicine (TCM) presents a significant challenge to researchers. Prevailing strategies for the screening of active components in TCM often overlook trace components owing to their concealment by more abundant constituents. To address this limitation, a fishing strategy based on offline two-dimensional liquid chromatography (2D-LC) combined with surface plasmon resonance (SPR) was utilized to screen bioactive trace components targeting peroxiredoxin 3 (PRDX3), using Uncaria alkaloids (UAs) as a case study. Initially, an orthogonal preparative offline 2D-LC system combining a positively charged C₁₈ column and a conventional C₁₈ column under disparate mobile phase conditions was constructed. To fully reveal the trace alkaloids, 13 2D fractions of UAs were prepared, and their components were characterized using mass spectrometry (MS). Subsequently, employing PRDX3 as the targeting protein, a SPR-based screening approach was established and rigorously validated with geissoschizine methyl ether (GSM) serving as a positive control for binding. Employing this refined strategy, 29 candidate binding alkaloids were fished from the 13 2D fractions. Notably, combining offline 2D-LC with SPR increased the yield of candidate binding components from 10 to 29 when compared to SPR-based screening alone. Subsequent binding affinity assays confirmed that PRDX3 was a direct binding target for the 12 fished alkaloids, with isovallesiachotamine (IV), corynoxeine N-oxide (CO-N), and cadambine (CAD) demonstrating the highest affinity for PRDX3. Their interactions were further validated through molecular docking analysis. Subsequent intracellular H₂O₂ measurement assays and transfection experiments confirmed that these three trace alkaloids enhanced PRDX3-mediated H₂O₂ clearance. In conclusion, this study introduced an innovative strategy for the identification of active trace components in TCM. This approach holds promise for accelerating research on medicinal components within this field.

Objective: To analyze the change trends in the body shape indicators and proportions of students in Harbin from 2010 to 2024, and to investigate ergonomic compatibility of functional dimensions of school desks and chairs with current student shape indicators, so as to provide a reference for revising furniture standards of desks and chairs. Methods: Between September and November of both 2010 and 2024, a combination of convenience sampling and stratified cluster random sampling was conducted across three districts in Harbin, yielding samples of 6 590 and 6 252 students, respectively. Anthropometric shape indicators cluding height, sitting height, crus length, and thigh length-and their proportional changes were compared over the 15-year period. The 2024 data were compared with current standard functional dimensions of school furniture. The statistical analysis incorporated t-test and Mann-Whitney U- test. Results: From 2010 to 2024, average height increased by 1.8 cm for boys and 1.5 cm for girls; sitting height increased by 1.5 cm for both genders; crus length increased by 0.3 cm for boys and 0.4 cm for girls; and thigh length increased by 0.5 cm for both genders. The ratios of sitting height to height, and sitting height to leg length increased by less than 0.1 . The difference between desk chair height and 1/3 sitting height ranged from 0.4-0.8 cm. Among students matched with size 0 desks and chairs, 22.0% had a desk to chair height difference less than 0, indicating that the desk to chair height difference might be insufficient for taller students. The differences between seat height and fibular height ranged from -1.4 to 1.1 cm; and the differences between seat depth and buttock popliteal length ranged from -9.8 to 3.4 cm. Among obese students, the differences between seat width and 1/2 hip circumference ranged from -20.5 to -8.7 cm, while it ranged from -12.2 to -3.8 cm among non obese students. Conclusion Current furniture standards basically satisfy hygienic requirements; however, in the case of exceptionally tall and obese students, ergonomic accommodations such as adaptive seating allocation or personalized adjustments are recommended to meet hygienic requirements.

The sterile electrode acupuncture needle for single use is an innovative product that combines traditional acupuncture with modern electronic technology, and it has obtained Class Ⅱ medical device registration certificate. This acupuncture device consists of a needle body and a handle. The diameter of the needle body ranges from 0.16 mm to 0.55 mm, and the length from 7 mm to 150 mm. The spiral spray technology is adopted to modify the micron-level insulating coat on stainless steel needle body. The needle holder is connected to the electroacupuncture device (conductive), the micro-film insulated needle body (non-conductive) and the membrane-free needle tip (conductive) can provide a precise electrical stimulation for different tissue layers of acupoints (such as deep nerves and fascia). The intradermal stimulation test, cytotoxicity test and hypersensitivity reaction test have showed a favorable biocompatibility, laying a solid and reliable safety for clinical application. This acupuncture device is suitable for the in-depth invasive stimulation at the sites of human body surface in combination with electroacupuncture equipment in medical institutions.
Humans ; Needles ; Acupuncture Therapy/instrumentation* ; Electrodes ; Equipment Design ; Electroacupuncture/instrumentation* ; Acupuncture Points ; Animals

Objective To investigate the predictive value of combined radiomic features derived from chest CT scans with clinical characteristics for epidermal growth factor receptor(EGFR)gene mutations in non-small cell lung cancer(NSCLC).Methods A multi-center case-control study was conducted on the clinical data and CT images of 1 070 NSCLC patients from the radiology departments of the 3 medical institutions between January 2013 and October 2023.The 719 NSCLC patients from the First Affiliated Hospital of Army Medical University were randomly divided into a training set and an internal validation set in a ratio of 7∶3;The 173 patients in the Eastern Theatre General Hospital and the 178 patients in Army Medical Centre of PLA were assigned into the external validation set 1 and 2,respectively.Least absolute shrinkage and selection operator(LASSO)regression was employed to identify the optimal radiomic features,which were subsequently used to construct a radiomics model.Univariate and multivariate logistic regression analyses were applied to identify clinical features associated with EGFR mutation,thereby developing a clinical model.The radiomic and clinical features were subsequently combined to develop a comprehensive model.All the 3 classification models were built using random forest(RF)machine learning.The area under curve(AUC),accuracy,sensitivity and specificity were utilized to evaluate the predictive performance of the models.Calibration curve was plotted to assess the goodness of fit of the comprehensive model,while decision curve analysis was performed to assess the clinical utility of the model.Results The AUC value of the radiomics model was 0.762 4(95%CI:0.692 4～0.825 1),0.745 4(95%CI:0.671 1～0.814 3),and 0.724 7(95%CI:0.639 7～0.801 6),respectively,in the internal validation set,external validation set 1,and external validation set 2;The AUC value of the clinical prediction model was 0.691 7(95%CI:0.627 9～0.757 6),0.652 5(95%CI:0.576 7～0.729 1),and 0.779 2(95%CI:0.712 5～0.847 3),respectively in the above sets in turn;The comprehensive model constructed based on clinical features and radiomic features showed the best predictive efficacy,with an AUC value of 0.818 0(95%CI:0.757 7～0.874 3),0.782 4(95%CI:0.703 1～0.848 2),and 0.796 6(95%CI:0.718 1～0.868 6),respectively in the above sets.Calibration curve analysis indicated that the comprehensive model had a good fit,while decision curve analysis revealed that the model provided a favorable net benefit.Conclusion Our comprehensive model constructed based on chest CT radiomic features and clinical characteristics shows superior predictive performance for EGFR gene mutations in NSCLC across multiple center datasets,which may be helpful for clinical decision-making for treatment strategies.

Objective To evaluate the predictive value of deep learning features from chest CT images combined with clinical and radiomics features for epidermal growth factor receptor(EGFR)mutations in non-small cell lung cancer(NSCLC).Methods This case-control study retrospectively analyzed clinical and imaging data of 1 070 NSCLC patients from radiology departments at three hospitals(January 2013 to October 2023).Patients were divided into:a training set(n=502)and internal validation set(n=217)via 7∶3 randomization of 719 cases from the First Affiliated Hospital of Army Medical University;external validation set 1(n=173)from General Hospital of Eastern Theater Command;external validation set 2(n=178)from Daping Hospital of Army Medical University.Deep learning features were extracted using a 2.5D convolutional neural network(CNN)with ResNet101 backbone,radiomics features were derived from CT images,and clinical risk factors were identified to construct models.An integrated model combined deep learning,clinical,and radiomics features.All four models were developed using random forest(RF)classifiers.Calibration curves assessed goodness-of-fit,and decision curve analysis(DCA)evaluated clinical utility.Results The deep learning model achieved AUCs of 0.833 7(95%CI:0.770 6～0.884 7),0.815 1(0.741 6～0.882 8),and 0.810 1(0.745 2～0.873 6)in the internal and two external validation sets,respectively.Clinical models yielded AUCs of 0.731 0(0.660 2～0.802 1),0.746 0(0.666 4～0.824 9),and 0.813 4(0.743 1～0.883 6);radiomics models showed AUCs of 0.762 4(0.692 4～0.825 1),0.745 4(0.671 1～0.814 3),and 0.724 7(0.639 7～0.801 6).The integrated model demonstrated optimal performance with AUCs of 0.905 5(0.857 0～0.945 4),0.832 7(0.763 3～0.896 4),and 0.889 0(0.834 4～0.934 3).DCA indicated significant net benefit for EGFR prediction at threshold probabilities of 0.15～0.85 using the integrated model.Conclusion Deep learning features from CT images effectively predict EGFR mutation status in NSCLC.The integrated model combining deep learning,clinical,and radiomics features further enhances predictive performance.

OBJECTIVE To investigate the effects of renally inappropriate medication （RIM） on the frailty of elderly patients with diabetes. METHODS The data of elderly patients with diabetes mellitus admitted to a third-grade class A hospital in Yunnan province from January to December 2022 were collected， and Beers criteria （2019 edition） and Chinese version of FRAIL scale were used to evaluate RIM and the frailty of the patients； the patients were divided into the trial group （with RIM） and the control group （without RIM） according to whether there was RIM. The propensity score matching was used to balance confounding factors between two groups， and the influence of RIM on the frailty of elderly diabetic patients was analyzed by the Logistic regression model. RESULTS Among the 367 patients， 80 patients （21.80%） had RIM， the drugs involved RIM were spironolactone （82.56%）， rivaroxaban （13.95%） and gabapentin （3.49%）. After reaching the balance between groups using the propensity score matching method， the incidence of frailty was 77.94% in trial group and 27.94% in control group （P＜0.001）； the difference was not statistically significant in other confounding factors between the two groups （P＞0.05）. Results of Logistic regression analysis showed that the risk of frailty in the experimental group was 3.118 times that of the control group （odds ratio was 3.118，95% confidence interval was 1.758-5.530， P＜0.001）. CONCLUSIONS RIM is a risk factor for the frailty of elderly patients with diabetes， which can be considered as an indicator for early identification and screening of the frailty of elderly diabetes patients.

Objective We aimed to explore the clinical efficacy of precise electro-acupuncture stimulation in the pterygopalatine fossa for the treatment of chronic sinusitis.Methods In total,40 patients with chronic sinusitis who visited the Xiyuan Hospital,China Academy of Chinese Medical Sciences between January 2022 and January 2023 were selected.The subjects were randomly divided into two groups:the treatment group(receiving precise electro-acupuncture in the pterygopalatine fossa)and the control group(receiving standard western medical treatment),with 20 cases in each groups.The treatments were administered twice a week for a period of 12 weeks.The effectiveness of the treatments was evaluated through computed tomography(CT)of the sinus changes and the Lund-Mackay scoring system.Results In cases of total opacity and partial opacity,there were significant differences between the two patient groups before and after treatment(P<0.05).Intra-group comparison revealed statistically significant improvements in both groups before and after treatment(P<0.05).The treatment group exhibited significant improvement in various sinus conditions(P<0.05),while in the control group,a significant improvement was only observed in the left maxillary sinus(P<0.05).Inter-group comparison also demonstrated that the treatment group's improvements were superior to those of the control group across multiple indicators(P<0.05).Conclusion The precise electro-acupuncture stimulation technique in the pterygopalatine fossa demonstrated significant therapeutic effects in the treatment of chronic sinusitis,with superior outcomes with respect to radiological changes compared to standard western medicine treatment.

To evaluate the accuracy of contrast-enhanced ultrasound diagnostic reports for pancreatic lesions.

Objective To observe the application effect of precision movement cloud technology system on the population with abnormal blood pressure.Methods A total of 100 people with abnormal blood pres-sure in the Chronic Disease Management Center of this hospital from March 1 to December 31,2022 were se-lected as the study subjects and divided into the blood pressure high value group and the grade 1 hypertension group according to the blood pressure situation,50 cases in each group.After the conventional physical exami-nation,questionnaire survey and exercise measurement,"five-in-one"individualized interventional guidance was carried out,the remote monitoring and management was implemented,the movement intensity was moni-tored by the heart rate for supervising the implementation of precise movement,furthermore the changes of various indicators before intervention and in 3 months after intervention were compared between the two groups.Results Compared with before intervention,the body weight,BMI,systolic pressure,diastolic pres-sure,central arterial pressure and vascular growth index after intervention in the blood pressure high value group were decreased,the cardiorespiratory endurance,glycosylated hemoglobin,high-density lipoprotein and cholesterol levels were increased,the differences were statistically significant(P＜0.05).Compared with be-fore intervention,the body weight,BMI,systolic pressure,diastolic pressure,central arterial pressure and vas-cular growth index after intervention in the grade 1 hypertension group were decreased,the cardiorespiratory endurance was increased,and the differences were statistically significant(P＜0.05).Compared with before intervention,the body weight,BMI,systolic pressure,diastolic pressure,central arterial pressure,triglyceride and vascular growth index after intervention in all the subjects were decreased,the cardiorespiratory endur-ance,blood creatinine and blood glucose levels were increased,and the differences were statistically significant(P＜0.05).Conclusion The precision movement cloud technology system is correlated with the improvement of blood pressure,and it is recommended to promote its use in the people with blood pressure high value and grade I hypertension.

Objective:To understand the status quo of emotional intelligence, emotional labor, and humanistic caring ability of medical staff, and to clarify their internal relationship.Methods:Convenience sampling was used to select 713 medical staff from a grade A tertiary hospital in Chengdu, Sichuan Province, China. Emotional Intelligence Scale, Humanistic Caring Scale, and Emotional Labor Scale were used to measure the emotional intelligence, humanistic caring ability, and emotional labor of medical staff. SPSS 22.0 software was used to establish a database for statistical description and analysis. Process 3.2 software was used to analyze the mediating effect.Results:In humanistic caring ability, the average score of comprehension dimension was the highest (75.62±8.20) and the average score of patience dimension was the lowest (58.53±5.01). In emotional labor, the average score of the deep action dimension was the highest (23.39±3.85) and the average score of the surface action dimension was the lowest (17.73±3.18). In emotional intelligence, the average score of self-emotion evaluation dimension was the highest (21.76±3.30) and the average score of other-emotion evaluation dimension was the lowest (20.07±3.71). Positive correlations were found between humanistic caring ability and emotional intelligence, between humanistic caring ability and emotional labor, and between emotional intelligence and emotional labor ( P<0.01). Humanistic caring ability had a partial mediating effect between emotional intelligence and emotional labor. Humanistic caring ability had direct and indirect effects on emotional labor, and the effect sizes were 0.279 and 0.029, respectively. Conclusion:Emotional intelligence has a direct positive predictive effect on emotional labor, humanistic caring ability as an intermediary variable indirectly and positively predicts emotional labor. Humanistic caring ability plays a partial mediating role between emotional intelligence and emotional labor. Attention should be paid to the emotional labor of medical staff, and the emotional labor of medical staff should be improved through targeted training on emotional intelligence and humanistic caring ability. These efforts will improve the current situation and establish a harmonious doctor-patient relationship.