ObjectiveTo systematically elucidate the accumulation characteristics of secondary metabolites in the stems and leaves of Panax ginseng with different stem colors. MethodsUltra-high-performance liquid chromatography-triple quadrupole-tandem mass spectrometry （UHPLC-QqQ-MS） was employed to determine the of 22 ginsenosides in the stems and leaves of 2- to 5-year-old P. ginseng plants with green and purple stems. Principal component analysis （PCA）， orthogonal partial least squares-discriminant analysis （OPLS-DA）， and one-way analysis of variance （ANOVA） were performed to explore the distribution patterns of ginsenosides from three dimensions： tissue distribution， growth duration， and stem color. Results① Tissue distribution： Leaves served as the primary organ for ginsenoside accumulation， exhibiting significantly higher total ginsenoside content than stems， which indicated distinct tissue-specific distribution of ginsenosides. ② Growth duration： Ginsenoside levels in stems generally peaked in the 2-year-old plants before stabilizing， while those in leaves displayed a declining-rebounding pattern， indicating that the 2-year-old plants （harvest stage） was a critical time point for the resurgence of leaf ginsenosides. ③ Stem color： A stage-specific correlation was observed between stem color and ginsenoside accumulation. In stems， the early-growth stage （2-year-old） of purple-stemmed plants exhibited higher content of specific ginsenosides （e.g.， ginsenoside Rk₁ and notoginsenoside R₁）， which may be associated with its stronger early-stage stress resistance. In leaves， the content of core ginsenosides （e.g.， ginsenosides Re and Rd） in 5-year-old plants with green stems showed a surpassing trend， demonstrating higher potential of resource development. ConclusionThe accumulation of ginsenosides in P. ginseng stems and leaves is multidimensionally regulated by tissue type， growth duration， and stem color phenotypes. Purple-stemmed plants exhibit early-stage specific ginsenoside accumulation and stress resistance potential， whereas green-stemmed plants are more advantageous for core leaf ginsenoside development at the harvest stage. The findings confirm that aboveground stem color can serve as a biomarker for directed breeding and efficient resource utilization of P. ginseng.

ObjectiveTo systematically elucidate the accumulation characteristics of secondary metabolites in the stems and leaves of Panax ginseng with different stem colors. MethodsUltra-high-performance liquid chromatography-triple quadrupole-tandem mass spectrometry （UHPLC-QqQ-MS） was employed to determine the of 22 ginsenosides in the stems and leaves of 2- to 5-year-old P. ginseng plants with green and purple stems. Principal component analysis （PCA）， orthogonal partial least squares-discriminant analysis （OPLS-DA）， and one-way analysis of variance （ANOVA） were performed to explore the distribution patterns of ginsenosides from three dimensions： tissue distribution， growth duration， and stem color. Results① Tissue distribution： Leaves served as the primary organ for ginsenoside accumulation， exhibiting significantly higher total ginsenoside content than stems， which indicated distinct tissue-specific distribution of ginsenosides. ② Growth duration： Ginsenoside levels in stems generally peaked in the 2-year-old plants before stabilizing， while those in leaves displayed a declining-rebounding pattern， indicating that the 2-year-old plants （harvest stage） was a critical time point for the resurgence of leaf ginsenosides. ③ Stem color： A stage-specific correlation was observed between stem color and ginsenoside accumulation. In stems， the early-growth stage （2-year-old） of purple-stemmed plants exhibited higher content of specific ginsenosides （e.g.， ginsenoside Rk₁ and notoginsenoside R₁）， which may be associated with its stronger early-stage stress resistance. In leaves， the content of core ginsenosides （e.g.， ginsenosides Re and Rd） in 5-year-old plants with green stems showed a surpassing trend， demonstrating higher potential of resource development. ConclusionThe accumulation of ginsenosides in P. ginseng stems and leaves is multidimensionally regulated by tissue type， growth duration， and stem color phenotypes. Purple-stemmed plants exhibit early-stage specific ginsenoside accumulation and stress resistance potential， whereas green-stemmed plants are more advantageous for core leaf ginsenoside development at the harvest stage. The findings confirm that aboveground stem color can serve as a biomarker for directed breeding and efficient resource utilization of P. ginseng.

Objective: To determine the clinical efficacy of platelet-rich plasma (PRP) injection combined with warm acupuncture and moxibustion for treating patients with knee osteoarthritis and cold dampness obstruction syndrome. Methods: One hundred and twenty-eight patients with knee osteoarthritis and cold dampness obstruction syndrome who visited the Rehabilitation Department and Orthopedics Department of the Second Affiliated Hospital of Anhui University of Chinese Medicine from January 2023 to March 2024 and who met the inclusion and exclusion criteria were randomly divided into an experimental (n=64) and control group (n=64) using the random number table method. The experimental group was treated with PRP injection combined with warm acupuncture and moxibustion, whereas the control group was treated with normal saline injection combined with warm acupuncture and moxibustion treatment. PRP and normal saline injections were administered once every two weeks, a total of four times. Patients were treated with warm acupuncture and moxibustion once a day, six times a week, for four consecutive weeks. The Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), Traditional Chinese Medicine (TCM) syndrome, visual analog scale (VAS), and Lysholm scores were determined before treatment, at week 4 and week 8 of treatment, and week 16 of follow-up. Serum interleukin-6 (IL-6), matrix metalloproteinase-3 (MMP-3), tumor necrosis factor-α (TNF-α), osteoprotegerin (OPG), bone gla protein(BGP), and cartilage oligomeric matrix protein (COMP) levels were compared between the two groups before and after 8 weeks of treatment. The clinical efficacy and safety indicators between the two groups were also compared. Results: There was no statistical difference in baseline data such as gender, age, disease duration, and body mass index between the two groups of patients. Compared with before treatment, both groups showed decreased WOMAC total and subscale, TCM syndrome total score and symptom scores, and VAS scores, and an increase in Lysholm scores at 4, 8, and 16 weeks after treatment. After treatment, serum IL-6, MMP-3, TNF-α, and COMP levels decreased, whereas serum OPG and BGP levels increased (P<0.05). Compared with the control group, patients in the experimental group showed decreased WOMAC total and subscale, TCM syndrome total score and symptom scores, and VAS scores, and an increase in Lysholm score at 4, 8, and 16 weeks after treatment. Compared with the control group, patients in the experimental group showed decreased serum IL-6, MMP-3, TNF-α, and COMP levels and an increase in serum OPG and BPG levels after treatment (P<0.05). The total effective rate of the experimental group was 91.94%, higher than that of the control group (81.97%; P<0.05). Conclusion PRP injection combined with warm acupuncture and moxibustion can improve various TCM symptoms, improve knee joint function and bone metabolism, and reduce inflammation in patients with knee osteoarthritis and cold dampness obstruction syndrome.

OBJECTIVE To explore the effect of hydrogen peroxide disinfectant on terminal disinfection in wards of medical institutions.METHODS The surfaces of highly frequent contact objects of the wards of the First Affilia-ted Hospital of Nanchang University from which the public health center patients were discharged between Apr.2024 and Jun.2024 were respectively disinfected with 0.5％(low)and 5％(high)concentrations of hydrogen peroxide disinfecting wipes,totally 180 samples were randomly collected before and after the disinfection,and the pathogens were detected.The air of the wards from which the public health center patients were discharged be-tween Jul.2024 and Aug.2024 were disinfected with hydrogen peroxide dry mist disinfection device,and 90 sam-ples were respectively collected before and after the disinfection.Geobacillus stearothermophilus was used as the biological indicator and placed at various points within the air-disinfected wards to evaluate the disinfection level.The environmental sampling results and distribution of bacteria were observed and compared.RESULTS The qualified rates of disinfection of the object surfaces were 95.56％(86/90)and 98.89％(89/90)respectively for the low and high concentratioins of hydrogen peroxide disinfecting wipes,and there was no significant difference in the disinfection effect.Totally 120 strains of pathogens were isolated from unqualified samples before the disinfection,among which gram-negative bacteria(69.17％)were dominant,and the isolation rate of multidrug-resistant or-ganisms was 22.50％(27/120);only 1 strain of carbapenem-resistant Acinetobacter baumannii was isolated after the disinfection.The qualified rate of disinfection of air in the wards was 96.00％by 7.5％hydrogen peroxide dry mist disinfection device,the average bacterial colony counts in the air were 2 CFU/(5 min·vsl)after the dis-infection,and the killing rate of Geobacillus stearothermophilus was 100.00％by the air disinfection.CONCLUSION The hydrogen peroxide disinfectant can meet the requirement for terminal disinfection of the wards of the medical institutions,and it is portable and highly efficient.

Purpose To measure the spatial resolution in MRI quality control testing automatically based on the American College of Radiology(ACR)phantom using the support vector machine(SVM)method,and the feasibility,accuracy and measurement speed of this method are explored.Materials and Methods Quality control tests were performed using eight MRI devices at Beijing Friendship Hospital of Capital Medical University.A retrospective study was conducted on 71 MRI quality control test images collected based on ACR phantoms between 2017 and 2019.The images were preprocessed by binarization,extraction region of interest and so on.An SVM-based classification model was constructed for analyzing the spatial resolution of dot arrays in row and column directions.The dataset was randomly split into a training set and a test set.The generalization performance of the classification model in this study was evaluated through accuracy,precision,recall and F1 score on the test set.Comparing the results of spatial resolution measurements obtained by both manual and automatic method,we demonstrated the feasibility and accuracy of the method.Additionally,the time taken for the automatic spatial resolution measurement was recorded.Results In this study,the proposed method of automatically measuring the spatial resolution of ACR phantom test images using SVM was feasible,high accuracy and short time.In classification performance test,the accuracy of the spatial resolution of the row directional latices was 95%,the precision was 100%.The accuracy of the spatial resolution of the column directional latices was 97%,the precision was 100%.Among the test cases,the results of automatic measurements matched those of manual measurements in 13 out of 14 cases.On average,automatic spatial resolution measurement took 0.158 seconds per case.Conclusion This study achieves automatic measurement of spatial resolution in MRI quality control based on the ACR phantom using SVM method.The method demonstrates high accuracy and fast measurement speeds,holding significant implications for future rapid MRI quality control stability testing.

Objective To compare the ability of single-phase,dual-phase,and triphasic models in forecasting postoperative pancreatic fistula(POPF)after pancreaticoduodenectomy(PD)using radiomics based on triphasic enhanced CT.Methods A total of 181 patients who underwent multi-phase enhanced CT prior to PD were retrospectively selected,and the collection phase included non-contrast,arterial phase(AP),and equilibrium phase(EP).3D Slicer software was utilized to segment the region of interest(ROI)for the postoperative pancreatic remnant on each phase.Radiomics feature extraction was performed using R software,followed by feature selection through least absolute shrinkage and selection operator(LASSO)regression with five-fold cross-validation to prevent model overfitting.The effective features selected were combined in a weighted linear manner to obtain a Radiomics score(Radscore).The patients were divided into training set and test set in a 7︰3 ratio.Logistic regression was employed to construct seven POPF prediction models(three single-phase,three dual-phase,and one triphasic models)based on different phase combinations.The diagnostic performance of the models was evaluated using the area under the curve(AUC)of receiver operating characteristic(ROC)curve,accuracy(ACC),sensitivity(SEN),and specificity(SPE).The DeLong test was applied to compare the differences in AUC among different models.Results After LASSO regression,24 effective features associated with POPF were selected from different phases.In the test set,the triphasic model exhibited the highest AUC and ACC(AUC=0.76,ACC=0.808).The calibration curve demonstrated the strongest agreement between the estimated probabilities and observed probabilities for the triphasic model.The decision curve analysis(DCA)curve indicated that the triphasic model had the largest threshold range with a higher net benefit.Conclusion Compared with single-phase and dual-phase models,the triphasic model based on enhanced CT provides better prediction of POPF after PD,aiding clinical decision-making and improve prognosis.

BACKGROUND:Immune cells are correlated with various metabolic bone diseases,yet the specific immunological mechanisms and causal relationships remain elusive.OBJECTIVE:To investigate the causal relationship between immune cells and the risk of metabolic bone diseases through two-sample Mendelian randomization.METHODS:Genome-wide association study(GWAS)data on 731 immune cells and metabolic bone diseases(osteonecrosis,osteomalacia,osteoporosis,and osteoporosis combined with pathological fracture)were obtained from publicly available databases.Genetic variants related to immune cells were employed as instrumental variables.The inverse variance weighting method was utilized as the primary analytical approach,while MR-Egger and weighted median methods were applied to assess the causal relationships between immune cells and the risk of metabolic bone diseases.In addition,MR-PRESSO,MR-Egger regression,Cochran's Q test,and the leave-one-out method were implemented to evaluate genetic polymorphisms and the heterogeneity of instrumental variables,and MR Steiger method was used to exclude reverse causality.RESULTS AND CONCLUSION:(1)The analysis revealed that IgD-CD38dim％B cells,HLA DR on CD14+CD16-monocytes,and HLA DR on CD14+monocytes were significantly and causally associated with an increased risk of osteoporosis(P＜6.8x10-5).Sensitivity analyses confirmed the reliability and stability of these results.Furthermore,among the immune cell types studied,28 demonstrated potential causal associations with osteonecrosis,23 with osteomalacia,46 with osteoporosis,and 45 with the combined condition of osteoporosis and pathologic fracture(P＜0.05).(2)This study provides a comprehensive assessment of the causal influence of immune cells on metabolic bone diseases,highlighting the significant role of immune factors in the pathogenesis of these conditions,particularly osteoporosis.The findings contribute valuable insights into the relationship between immune traits and bone metabolism,laying a foundation for future research in this domain.This study utilized an international database to analyze the European population,which offers a reference for Chinese biomedical research in the realm of metabolic bone diseases,and facilitates the conduction of relevant studies for the Chinese population,thereby promoting the enhancement of the prevention and treatment of metabolic bone diseases.

Objective To investigate the changes of residual radioactivity at different time points after 131I treatment in the patients with differentiated thyroid cancer(DTC)and influencing factors.Methods A to-tal of 235 patients with DTC receiving 131I treatment in this hospital from January 2021 to June 2023 were se-lected as the study subjects and divided into the high dose group(＞5.55 GBp,n=56)and low dose group(≤5.55 GBp,n=179)according to the treatment dose.The clinical data of the two groups were collected and the changes of residual radioactivity after 131I treatment were compared between the two groups.The binary re-gression was used to analyze its influencing factors.Results The sex,age,BMI,basic metabolic rate(BMR)and serum thyroglobulin antibody(TgAb)had no statistical differences between the two groups(P＞0.05).The proportions of serum thyroglobulin(TG)＜1 ng/mL,131I first time treatment and residual thyroid ratio prompted by the whole body 131I scan after treatment in the low dose group were significantly higher than those in the high dose group(P＜0.05).The residual radioactivity in the two groups was significantly de-creased with time extension.The residual radioactivity at 24,48,72 h after treatment in the low dose group was significantly lower than that in the high dose group(P＜0.05).The binary logistic regression analysis re-sults showed that the T stage and treatment dose were the influencing factors of residual radioactivity after 131I treatment.Conclusion The residual radioactivity after 131I treatment in the patients with DTC shows the significant decreasing trend with time extension,this change trend has an active significance for further opti-mizing and perfecting the isolation and protection scheme.For the patients with high T stage and big treat-ment dose,the isolation time should exceed 72 h.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.