ObjectiveTo investigate the mechanism of salt processing of Psoraleae Fructus （PF） through modern analytical techniques and biotechnology， focusing on its effects related to hepatotoxicity and anti-osteoporosis activity. MethodsThe zebrafish model was utilized to evaluate the impact of PF and salt-processed Psoraleae Fructus （SPF） on the hepatotoxicity （using 134.17 ， 178.89， 268.34 mg·L^-1 as low， medium， and high dose groups of PF， 135.04， 180.06， 270.08 mg·L^-1 as low， medium， and high dose groups of SPF， respectively） and anti-osteoporotic activity （using 33.54 ， 67.08 and 134.17 mg·L^-1 as low， medium， and high dose groups of PF， 33.76， 67.52， 135.04 mg·L^-1 as low， medium， and high dose groups of SPF， respectively）， which was using alizarin red skull staining of zebrafish as an indicator of different batches of PF. The specific dosage of a batch of PF was taken as an example. Then ultra-performance liquid chromatography-quadrupole-time of flight-mass spectrometry（UPLC-Q-TOF-MS） analysis was employed to identify the chemical composition of PF before and after salt processing， and PCA， OPLS-DA， and independent sample t-test were used to elucidating the compositional changes associated with the effects of salt processing on hepatotoxicity and anti-osteoporosis activity. ResultsUnder specific conditions， PF induced notable hepatotoxicity in zebrafish while simultaneously demonstrating protective effect against prednisolone-induced osteoporosis. In comparison to PF， SPF showed alleviated hepatotoxicity while retaining significant anti-osteoporosis activity. UPLC-Q-TOF-MS analysis revealed that after salt processing， the overall chemical composition of PF showed a downward trend， with 69 components showing a decrease in content， represented by psoralen， and 13 components showing an increase， represented by 4′-O-methyl psoralen B. Further multivariate statistical analysis revealed 11 key differential components before and after salt processing of PF， including psoralen and bakuchiol. ConclusionSalt processing effectively diminishes hepatotoxicity without impairing therapeutic efficacy against osteoporosis of PF， which may be related to the compositional changes before and after salt processing of PF and provides key evidence to reveal the scientific significance of salt processing of PF.

ObjectiveToll-like receptor 4 （TLR4）， a receptor for pathogen-associated molecular patterns of innate immunity， is associated with neurodegenerative diseases. Interleukin （IL）-6， IL-1β， and tumor necrosis factor-α （TNF-α） as common pro-inflammatory cytokines and high-sensitivity C-reactive protein （hs-CRP） are related to inflammatory responses. This study evaluated the clinical efficacy and possible mechanisms of therapeutic effects of Fengyintang on early and mid-stage PD with excessive heat generating wind by observing the effects of Fengyintang on the serum levels of TLR4， IL-6， IL-1β， TNF-α， and hs-CRP in the patients with PD. MethodsSixty-eight PD patients who met the inclusion criteria were randomly assigned into the control group and the observation group （n=34）. Both groups were treated with anti-PD Western medicine and the observation group was additionally treated with Fengyintang. Both groups were treated for 8 weeks. Before and after 8 weeks of treatment， the patients in the two groups were measured for their TCM symptom scores， International Movement Disorder Society Unified Parkinson's Disease Rating Scale （MDS-UPDRS） score， Parkinson's Disease Non-Motor Symptom Scale （NMSS） score， Patient Assessment of Constipation Symptom （PAC-SYM） score， Pittsburgh Sleep Quality Index （PSQI）， Hamilton Anxiety Scale （HAMA） score， Hamilton Depression Scale （HAMD） score， and changes in serum TLR4， IL-6， IL-1β， TNF-α， and hs-CRP levels. ResultsOne case in the control group was removed due to loss of visit， and a total of 67 PD patients （33 in the control group and 34 in the observation group） who met the criteria were included for analysis. After treatment， patients in the observation group showed decreases in scores of TCM symptoms， MDS-UPDRS， NMSS， PAC-SYM， PSQI， HAMA， and HAMD （P<0.05， P<0.01）. Moreover， the observation group had lower scores of TCM symptoms， MDS-UPDRS， NMSS， PAC-SYM， PSQI， HAMA， and HAMD than the control group （P<0.05， P<0.01）. The observation group showed higher efficacy in terms of TCM symptoms and MDS-UPDRS score than the control group （Z=-0.57， P<0.05）. The overall response rate was higher in the observation group than in the control group （Z=-0.62， P<0.05， P<0.01）. The serum TLR4， TNF-α， IL-1β， IL-6， and hs-CRP levels of the observation group were lower than those of the control group （P<0.05， P<0.01）. ConclusionFengyintang combined with Western medicine can safely and effectively alleviate the clinical symptoms， reduce the levels of inflammatory factors， improve the quality of life， and delay the disease progression of PD patients by inhibiting peripheral TLR4 expression and thus suppressing the downstream inflammatory response.

Objectives:To investigate the epidemiological characteristics and ethnic differences of cardiovascular-kidney-metabolic syndrome(CKM)among the Hani,Dai,Bai,and Lisu populations in Yunnan Province,and to provide evidence for developing effective prevention and control strategies for CKM.Methods:A cross-sectional survey was conducted among four ethnic minority groups.A total of 3 906 permanent residents aged 18 years and older were enrolled using a multistage cluster random sampling method.CKM stages(0-4)were defined based on the 2023 American Heart Association criteria,stages 3-4 were classified as advanced CKM.Descriptive statistics and chi-square tests were used to compare the prevalence of CKM stages across ethnic groups.Modified Poisson regression was applied to estimate relative risk(RR)and 95%confidence intervals(CI)for factors associated with advanced CKM.Results:The prevalence rates of CKM stage 1 and above among the Hani,Dai,Bai and Lisu ethnic groups were 80.1%,87.3%,84.8%and 67.8%,respectively.The prevalence of CKM was generally higher in males than in females,and the prevalence of CKM increased significantly with age.The Dai ethnic group had the highest prevalence of advanced CKM(24.7%,95%CI:22.1%-27.4%),while the Lisu ethnic group had the lowest prevalence of advanced CKM(13.7%,95%CI:11.5%-15.9%).Modified Poisson regression analysis showed that older age and higher body mass index were common risk factors for advanced CKM across all four ethnic groups.Additionally,except for the Lisu ethnic group,the other three ethnic groups had specific individual risk factors:among the Hani ethnic group,low educational attainment(RR=2.18,95%CI:1.12-4.25)and low income(RR=1.47,95%CI:1.00-2.18)were the primary risk factors of CKM.Among the Dai ethnic group,smoking(RR=1.60,95%CI:1.07-2.37)and a family history of cardiovascular disease(RR=1.61,95%CI:1.14-2.27)are the primary risk factors of CKM.Among the Bai ethnic group,male gender(RR=0.48,95%CI:0.29-0.79)was the primary risk factor of CKM.Conclusions:The prevalence of CKM stage 1 or higher is relatively high among the four minority ethnic groups in Yunnan province.There are significant differences in staging characteristics and primary risk factors across ethnic groups,necessitating the development of stratified,differentiated intervention strategies to achieve precise prevention and control and ethnic health equity in terms of CKM.

Stent entrapment is a rare complication of percutaneous coronary intervention.In recent years,with the development of distal radial artery puncture technology,the rare complications related to distal radial artery have been gradually understood.This article describes a patient who underwent coronary intervention through a distal radial approach,and the stent was dislodged and trapped in the far radial artery.The patient came to our hospital for stent implantation because of acute extensive anterolateral myocardial infarction.During the intervention,the balloon could not be filled when the stent was released from the left anterior descending artery,and the retracting stent could not be used to remove the guide catheter.The stent was dislodged and embedded in the distal vessel.The sheath was inserted through the proximal radial reverse puncture,and the stent was captured with a snare and removed.

Objective To analyze the current status and emerging technology trends in domestic medical drainage tube patents,so as to explore possible factors for low patent conversion rates.Methods Patents associated with"drainage tube","medical drainage tube","surgical drainage tube"and related terms were retrieved from the National Intellectual Property Administration Database and the Innojoy Patent Search Engine,covering the period from 2010 to 2020.Screening and visual analysis were conducted using Excel and SPSS 27.0.Results A total of 2 895 relevant patents were identified,comprising 2 489 utility model patents,367 invention patents and 39 design patents.The number of patent applications demonstrated a year-on-year growth trend,with a higher concentration in eastern coastal regions and provinces housing numerous top-tier hospitals and medical institutions.Approximately 49.26％of the patents filed by individuals were affiliated with hospitals,universities,or enterprises.Innovation hotspots included the design,functionality,performance,and safety aspects of drainage tubes and probes.Of the patents,72.61％were invalid,and 61.73％had a survival period of three years or less.Only 5.15％were commercially utilized through transfers,pledges,or licensing.Conclusion Domestic patent applications for medical drainage tubes have seen rapid growth,with a focus on enhancing tube structures such as sleeves,balloons,drainage holes,and threaded designs.However,the unsatisfactory situation of patent conversion and operation have been mainly limited by factors such as weak core technology of patents,insufficient awareness of achievements conversion,poor operation of patent conversion mechanism,insufficient market promotion,and insufficient integration of industry,academia,and research.To address this issue,enhancing intellectual property protection,revitalizing valid patents,and expanding transformation channels would benefit patients and facilitate hospitals'high-quality development,injecting new vitality into the health industry.

In proton therapy,prompt gamma-ray imaging is considered as one of the most promising methods for assessing proton beam range.Prompt gamma-ray imaging detector evaluates the proton beam range based on the prompt gamma-ray distribution obtained by the prompt gamma-ray imaging system,which enables high-precision measurement of the proton beam range.Herein a proton beam range verification algorithm is designed for the newly developed prototype of the range verification detector(pixelated prompt gamma-ray imaging detector),which verifies the range estimation accuracy of the prototype for different phantoms and different energies of homogeneous media through Monte Carlo simulation.The results show that the accuracy of the proton beam range verification algorithm is within 0.5 mm of the safety margin error of the Bragg peak,and the measurement accuracy is significantly improved with the increase of the number of protons,indicating that the prototype algorithm is feasible for proton beam range verification.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective To investigate the relationship between ST-segment elevation myocardial infarction(STEMI)treatment time nodes and coronary microcirculation dysfunction(CMD)after primary percutaneous coronary intervention(PCI)and its prognosis,providing evidence for early identification of high-risk patients,further optimization of treatment system,shortening treatment time and improving prognosis.Methods This study selected 150 STEMI patients who received primary PCI at the 920th Hospital of the Joint Logistic Support Force of the People's Liberation Army of China from March 2023 to September 2023 as the CMD group after PCI(89 cases),with a microcirculation resistance index(caIMR)of≥40 U based on coronary angiography.caIMR＜40 U was classified as the non-CMD group(61 cases).The clinical data,various examination indicators and imaging data of the two groups of patients were collected,and the occurrence of major adverse cardiovascular events(MACE)within half a year after direct PCI of the patients was followed up.The correlation between the two variables was analyzed using Spearman.Multivariate Logistic regression was used to analyze the relationship between each treatment time point and the occurrence of CMD after direct PCI.Using receiver operating characteristic(ROC)curve analysis to predict the occurrence of CMD after direct PCI.The survival curves between the two groups were plotted using the Kaplan-Meier method.Results The levels of symptom onset-to-balloon(S-to-B),symptom onset-to-first medical contact(S-to-FMC),first medical contact-to-balloon(FMC-to-B),symptom onset-to-door(S-to-D)and first medical contact-to-door(FMC-to-D)in the CMD group were significantly higher than those in the non-CMD group(all P＜0.05).Correlation analysis showed that S-to-D,S-to-FMC,the time from FMC-to-B,and the time from FMC-to-D were all positively correlated with the time from S-to-B(r=0.996,P＜0.001;r=0.937,P＜0.001;r=0.431,P＜0.001;r=0.441,P＜0.001).Multivariate Logistic regression analysis indicated that the duration of S-to-D(OR 2.165,95％CI 1.655-2.830,P＜0.001)was a significant influencing factor for CMD.Moreover,S-to-D has a relatively high predictive value for the occurrence of CMD after direct PCI.The area under the ROC curve is 0.898(95％CI 0.850-0.946,P＜0.001),the optimal cut-off value is 231 min,the sensitivity is 82.0％,and the specificity is 88.5％.Kaplan-Meier curve analysis showed that the cumulative survival rate of MACE outcomes in the CMD group was significantly lower than that in the non-CMD group(Log-rank P=0.009).Conclusions Shortening the S-to-D time can reduce the occurrence of CMD after PCI,thereby reducing the incidence of MACE and improving prognosis.

Objective To explore the predictive value of dose surface histogram(DSH)in image guided radiotherapy(IGRT)for radiotherapy-induced acute radiation proctitis(ARP)in cervical cancer(CCA).Methods Totally 380 patients with CCA IGRT admitted to some hospital from May 2019 to May 2023 were selected prospectively and randomly divided into a control group(n=1 80)and an experimental group(n=200).The patients in the 2 groups were followed up and the incidence rates of ARP were counted,and rectal dose distribution was evaluated using dose volume histogram(DVH)in the control group and DSH in the experimental group.The predictive values of DVH and DSH for ARP were evaluated and compared using ROC curves.Statistical analysis was performed using SPSS 21.0 software.Results The two groups did not have statistically significant difference in the incidence rate of ARP(P＞0.05),while there were significant differences in the evaluation indicators of the rectal dose distribution(P＜0.05).V40,V50,S40 and S50 proved to have low predictive values for grade Ⅰ-Ⅳ ARP with AUC 0.700(P＜0.05);V60 and S60 had moderate predictive values for grade Ⅰ-Ⅳ ARP with AUC greater than 0.700 and less than or equal to 0.900(P＜0.05);V70,V78,S70 and S7s showed high predictive values for grade Ⅰ-Ⅳ ARP with AUC higher than 0.900(P＜0.05).Delong's test results indicated that DVH and DSH had no significant differences in AUC when used to predict gradeⅠ-Ⅳ ARP(allP＞0.05).Conclusion DSH is essentially the same as DVH when used for the prediction of grade Ⅰ-Ⅳ ARP due to CCA IGRT,and thus can be used for the supplementation and optimization of radiotherapy planning systems.[Chinese Medical Equipment Journal,2025,46(3):48-53]

Objective:To investigate the relationship between the serum levels of vascular endothelial growth factor (VEGF), matrix metalloproteinase-9 (MMP-9), S100 calcium binding protein B (S100B) with glycolipid metabolism, pregnancy outcome in pregnant women with gestational diabetes.Methods:The clinical data of 153 pregnant women with gestational diabetes (research group) and 153 healthy pregnant women (control group) in the Second Affiliated Hospital of Xi ′an Medical University from January 2020 to October 2023 were retrospectively analyzed. The serum levels of VEGF, MMP-9 and S100B were measured by enzyme linked immunosorbent assay, and the fasting blood glucose, triglyceride, total cholesterol, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), fasting insulin and glycated hemoglobin were measured, and the homeostasis model assessment insulin resistance index (HOMA-IR) was calculated. The adverse outcomes of pregnant women with gestational diabetes were recorded. Pearson method was used to analyze the correlation between glycolipid metabolism indexes and VEGF, MMP-9, S100B in pregnant women with gestational diabetes. Multivariate Logistic regression was used to analyze the independent risk factors of adverse pregnancy outcome in pregnant women with gestational diabetes. Receiver operating characteristic (ROC) curve was drawn to analyze the predictive value of VEGF, MMP-9 and S100B on adverse pregnancy outcome in pregnant women with gestational diabetes. Results:The fasting blood glucose, fasting insulin, glycated hemoglobin, HOMA-IR, triglyceride, total cholesterol, LDL-C, VEGF, MMP-9 and S100B in research group were significantly higher than those in control group: (9.42 ± 0.65) mmol/L vs. (4.13 ± 0.46) mmol/L, (16.58 ± 2.37) mU/L vs. (13.41 ± 2.05) mU/L, (7.28 ± 0.46)% vs. (4.35 ± 0.39)%, 4.83 ± 0.42 vs. 2.71 ± 0.37, (3.41 ± 0.67) mmol/L vs. (2.85 ± 0.63) mmol/L, (5.54 ± 1.56) mmol/L vs. (5.12 ± 1.50) mmol/L, (3.14 ± 0.97) mmol/L vs. (2.86 ± 0.93) mmol/L, (184.02 ± 30.25) ng/L vs. (156.33 ± 26.41) ng/L, (45.78 ± 7.56) μg/L vs. (29.36 ± 5.03) μg/L and (117.51 ± 25.12) ng/L vs. (89.74 ± 22.46) ng/L, the HDL-C was significantly lower than that in control group: (1.34 ± 0.27) mmol/L vs. (1.42 ± 0.30) mmol/L, and there were statistical differences ( P<0.01 or <0.05). Pearson correlation analysis result showed that VEGF, MMP-9, S100B in pregnant women with gestational diabetes were positively correlated with fasting blood glucose, fasting insulin, glycated hemoglobin, HOMA-IR, triglyceride, total cholesterol and LDL-C ( P<0.01), negatively correlated with HDL-C ( P<0.01). Among 153 pregnant women with gestational diabetes, 49 had adverse pregnancy outcome, and 104 had good pregnancy outcome. The VEGF, MMP-9 and S100B in pregnant women with adverse pregnancy outcome were significantly higher than those in pregnant women with good pregnancy outcome: (212.75 ± 28.63) ng/L vs. (170.49 ± 26.58) ng/L, (52.37 ± 7.14) μg/L vs. (42.68 ± 6.35) μg/L and (136.83 ± 23.62) ng/L vs. (108.41 ± 21.35) ng/L, and there were statistical differences ( P<0.01). Multivariate Logistic regression analysis result showed that VEGF, MMP-9 and S100B were independent risk factors for adverse pregnancy outcome in pregnant women with gestational diabetes ( OR = 7.013, 5.382 and 6.129; 95% CI 5.206 to 9.447, 3.449 to 8.398 and 3.520 to 10.673; P<0.01). ROC curve analysis result showed that the area under the curve of VEGF, MMP-9 combined S100B in predicting adverse pregnancy outcome in pregnant women with gestational diabetes was significantly larger than that of VEGF, MMP-9 and S100B alone (0.945 vs. 0.863, 0.847 and 0.801; P<0.05 or <0.01), with sensitivity of 89.80% and specificity of 91.30%. Conclusions:The high serum levels of VEGF, MMP-9 and S100B are associated with abnormal glycolipid metabolism and adverse pregnancy outcome in pregnant women with gestational diabetes, and the combination of the three indexes has a high predictive value for adverse pregnancy outcome.