ObjectiveThis paper aims to assess the effects of Wenfei Guyuan umbilical moxibustion on the quality of life and immune function in patients with chronic obstructive pulmonary disease （COPD） in stable phase. MethodsA multi-center randomized controlled trial design was employed，and the 220 cases of patients with COPD in stable phase from three grade A class-Ⅲ hospitals were included as research objects. The patients were randomly divided into the test group and control group，with each group consisting of 110 cases. Both groups received standardized treatment of western medicine，and the test group received Wenfei Guyuan umbilical moxibustion twice weekly for 13 weeks，followed by a 26-week follow-up period. Quality of life was evaluated by using the COPD assessment test （CAT），the modified COPD patient-reported outcomes （mCOPD-PRO） measure，and the modified effectiveness satisfaction questionnaire for COPD （mESQ-COPD） before treatment，four weeks， eight weeks， and 13 weeks of the treatment period，as well as 13 weeks and 26 weeks of the follow-up period. The number of acute exacerbation cases of patients in both groups was recorded during study period to evaluate the effect of Wenfei Guyuan umbilical moxibustion on acute exacerbations. 30 cases were randomly selected in both observation group and control group. Peripheral blood samples were collected before treatment and at 13 weeks of treatment. Enzyme-linked immunosorbent assay （ELISA） was used to detect the levels of immunoglobulin A （IgA），immunoglobulin G （IgG），immunoglobulin M （IgM），interleukin 10 （IL-10），interleukin 17A （IL-17A），transforming growth factor β1 （TGF-β1），and tumor necrosis factor α （TNF-α）. Flow cytometry was used to detect cluster of differentiation 4 positive （CD4⁺），cluster of differentiation 8 positive （CD8⁺），T helper 17 （Th17），and Treg levels， thereby preliminarily exploring the effect of Wenfei Guyuan umbilical moxibustion on immune function. ResultsA total of 220 patients were included，with five cases dropping out. 215 cases were finally included in the per-protocol set，including 107 in the treatment group and 108 in the control group. Baseline characteristics of the first two groups before treatment were compared between the two groups. In terms of life quality evaluation， the main effect of group differences on the CAT scores was significant （F=15.108，P<0.01）. The main effects of group differences on the physical domain （F=38.807，P<0.01），psychological domain （F=38.996，P<0.01），environmental domain （F=17.436，P<0.01），and total score of mCOPD-PRO （F=41.972，P<0.01） were significant. The main effects of group difference on clinical symptoms domain of mESQ-COPD （F=81.516，P<0.01），work-life ability domain （F=36.549，P<0.001），environmental adaptation ability domain （F=22.677，P<0.01），therapeutic effect domain （F=74.055，P<0.01），and total score of mESQ-COPD （F=73.251，P<0.01） were significant. Regarding acute exacerbations，during the entire study period，as well as the treatment period and follow-up period，the observation group showed fewer patients experiencing acute exacerbations compared to the control group，but the difference between the two groups was not statistically significant. In terms of immune indicators，after 13 weeks of treatment，the levels of IgA，IgG，and IgM in the observation group were significantly better than those in the control group （P<0.05）. The level of IL-10 was significantly higher than that in the control group （P<0.05），and the levels of IL-17A，TGF-β1，and TNF-α were significantly lower than those in the control group （P<0.05）. Compared with those in the control group，the level of CD4⁺/CD8⁺ in the observation group was significantly increased （P<0.05），while the levels of CD4⁺ and Treg were slightly increased，but the difference was not statistically significant. The levels of CD8⁺，Th17，and Th17/Treg were significantly decreased （P<0.05）. ConclusionWenfei Guyuan umbilical moxibustion can improve the quality of life， and immune function in patients with COPD in stable phase. It is worth promoting in clinical practice.

ObjectiveTo explore the effects of serine hydroxymethyltransferase 1 （SHMT1） rs1979277 polymorphisms on pharmacokinetic characteristics and clinical prognosis of methotrexate （MTX） in children with acute lymphoblastic leukemia （ALL）. MethodsMatrix-assisted laser desorption/ionization time of flight mass spectrometry was used for SHMT1 rs1979277 genotyping in children with ALL . Clinical data including serum MTX concentrations， incidences of adverse events， and ALL relapse after chemotherapy with MTX were collected. The associations of SHMT1 rs1979277 G>A genotypes with dose-adjusted serum concentrations （C/D ratios）， adverse events of MTX， and relapse were analyzed. The associations between rs1979277 genotypes and SHMT1 expression were explored based on Bioinformatics methods. ResultsAmong the 146 children with ALL included， the rs1979277 GG homozygous genotype accounted for 85.62% （125/146）， while the GA heterozygous genotype accounted for 14.38% （21/146）. The frequency of the G allele was 92.81% （271/292）， while the A allele was only 7.19% （21/292）. Children with the GG homozygous genotype had higher median C/D ratios of MTX in 24 h ［12.06 （μmol·m²）/（L·g）］ and higher relapse rates （12.80%） than those in GA heterozygous genotype carriers ［10.96 （μmol·m²）/（L·g）， and 9.52%， respectively］. However， none of the above differences were statistically significant （all P>0.05）. The incidences of respiratory （19.05%） and liver disorders （33.33%） in children with the GA heterozygous genotype were significantly higher than those in GG homozygous genotype carriers （4.00% and 12.00%， respectively， P<0.05）. There were no statistically significant differences in the incidences of other adverse events. Bioinformatics analysis showed that the rs1979277 A allele was significantly associated with higher SHMT1 expression in multiple tissues， such as the tibial artery， pancreas， and adrenal gland （P<0.05）. ConclusionSHMT1 rs1979277 GA genotype may be a risk factor for respiratory and liver disorders in ALL children treated with MTX.

ObjectiveTo explore the effects of vascular endothelial growth factor A （VEGFA） rs2010963 and rs3025039 polymorphisms on chemotherapy toxicities and clinical prognosis in children with brain tumors. MethodsA total of 104 pediatric patients with brain tumors receiving standardized chemotherapy were enrolled. Matrix-assisted laser desorption/ionization time of flight mass spectrometry was used for VEGFA rs2010963 and rs3025039 genotyping. The χ² test was applied to analyze the association between genotypes and chemotherapy‑related toxicities. Cox regression was used to evaluate the correlations of clinicopathological characteristics and genotypes with the progression‑free survival （PFS）. In addition， bioinformatic analyses were conducted to investigate the regulatory factors potentially affected by the two SNP loci. ResultsThe VEGFA expression in brain tumors （5.17±1.81） was significantly higher than that in normal tissues （4.33±1.56， P<0.001）. Patients with high VEGFA expression had significantly worse overall survival than patients with low VEGFA expression （P<0.001）. Among the 104 children with brain tumors included， the rs2010963 CC， CG， and GG genotypes accounted for 14.42%， 55.77%， and 29.81%， respectively. The frequencies of C and G alleles were 42.31% and 57.69%， respectively. The rs3025039 CC， CT， and TT genotypes accounted for 70.19%， 25.96%， and 3.85%， respectively. The frequencies of C and T alleles were 83.17% and 16.83%， respectively. The children with the rs3025039 CC genotype had significantly higher incidences of thrombocytopenia （46.58%） and gastrointestinal toxicity （56.16%） than CT genotype carriers （22.22% and 33.33%， respectively， P<0.05）， and significantly lower incidences of coagulation disorders （4.11%） than TT genotype carriers （50.00%， P<0.05）.The incidence of hyperlipidemia （2.74%） was significantly lower than that in the CT genotype carriers （14.82%， P<0.05）. The tumor type and the rs2010963 genotype were significantly associated with PFS （P<0.05） in univariable and multivariable Cox regression analysis. Bioinformatic analysis indicated that the rs2010963 and rs3025039 polymorphisms regulated VEGFA expression by affecting the binding of transcription factors and miRNAs to their target gene sequences， respectively. ConclusionThe VEGFA rs3025039 CC genotype is a risk factor for thrombocytopenia and gastrointestinal toxicity， and a protective factor for coagulation disorders and hyperlipidemia. The rs2010963 CG genotype is a protective factor for brain tumor progression.

Objective To construct a dynamic prediction model for JC polyomavirus (JCV) reactivation after kidney transplantation. Methods A retrospective analysis was conducted on the clinical data of 128 recipients who met the inclusion criteria and received kidney transplantation in Nanfang Hospital, Southern Medical University, from June 2021 to December 2024. Dynamic Cox regression and dynamic restricted mean survival time (RMST) regression based on the landmark method were adopted to establish the dynamic prediction models, and Monte Carlo cross-validation was used to evaluate model performance. Results The dynamic models could predict the incidence and onset time of JCV reactivation within the subsequent 3 months according to covariates at each landmark time point from the 1st to the 6th month after transplantation. Remuzzi score, body mass index and warm ischemia time were independent risk factors for JCV reactivation, while a history of urinary BK polyomavirus reactivation served as a protective factor. The median values of the area under the curve, C-index and Brier score of the dynamic Cox model were 0.873, 0.851 and 0.065 respectively, and the C-index of the dynamic RMST model was 0.829, all of which were superior to those of the static model. Conclusions The landmark-based dynamic models exhibit excellent predictive performance, which may integrate baseline data and post-transplant follow-up information to realize dynamic assessment of the risk and time window of JCV reactivation, thereby providing evidence for optimizing post-operative monitoring and individualized intervention strategies.

Objective To investigate the herpes zoster vaccination willingness in middle-aged population in Zibo City, and analyze its influencing factors. Methods A questionnaire survey was conducted among population aged 40-59 years in 24 streets of 8 districts and counties in Zibo City using stratified sampling method, and the willingness to vaccinate herpes zoster vaccine was statistically analyzed. The influencing factors of herpes zoster vaccination willingness in middle-aged population in Zibo City were analyzed. Results Among the 692 survey subjects, 654 cases (94.51%) were not vaccinated with herpes zoster vaccine, among which 170 cases (25.99%) were willing to be vaccinated. Multivariate logistic regression analysis showed that gender, age, education level, knowledge of herpes zoster, presence or absence of people with herpes zoster around them, knowledge of symptoms and sequelae of herpes zoster, knowledge of herpes zoster vaccine, knowledge of preventive effect of herpes zoster vaccine on herpes zoster, possible adverse reactions after vaccination, and acceptable effective rate of vaccine were the influencing factors of herpes zoster vaccination willingness in middle-aged population in Zibo City (P<0.05). Conclusion The willingness of herpes zoster vaccination is low in middle-aged population in Zibo City, and its influencing factors include gender, age, education level, herpes zoster cognition and vaccine cognition. It is necessary to strengthen the education of herpes zoster and vaccine among middle-aged population in Zibo City, and formulate promotion strategies based on individualized needs to enhance the vaccination willingness of people.

Objective:To investigate the application effects of learning pyramid theory combined with constructivism in the standardized training of nurses in the department of gastroenterology.Methods:We randomly divided 104 gastroenterology nurses who received standardized training from October 2021 to October 2023 into observation group and control group, with 52 nurses in each group. The control group received conventional teaching, while the observation group received a combination of learning pyramid theory and constructivist teaching. The two groups were compared in terms of theoretical and practical scores, core competencies, self-learning abilities, and professional values scores before and after training. SPSS 23.0 was used to perform the t-test. Results:After training, the two groups showed improvements in all the tests; and the scores were all significantly higher in the observation group than in the control group: theoretical knowledge [(88.61±15.62) vs. (81.76±14.27)], skill practice [(82.91±15.17) vs. (76.40±13.82)], Competency Inventory for Registered Nurses scale score [(157.83±21.73) vs. (125.40±15.77)], self-learning ability score [(123.38±21.62) vs. (97.43±15.23)], and Nurse Professional Values scale score [(89.15±14.63) vs. (78.52±12.84)].Conclusions:The teaching model of learning pyramid theory and constructivism theory can enhance standardized training effectiveness for gastroenterology nurses.

Objective:To investigate the predictive efficacy of Delta radiomics for the patholo-gical complete remission (pCR) of pancreatic cancer after total neoadjuvant therapy (TNT).Methods:The retrospective cohort study was conducted. The clinicopathological data of 263 patients with pancreatic cancer who were admitted to Henan Provincial People′s Hospital (Zhengzhou University People's Hspital) from January 2019 to September 2024 were collected. There were 166 males and 97 females, aged (56±12)years. All patients underwent TNT. The 263 patients were randomly divided into a training set of 184 cases and a test set of 79 cases using a 7∶3 random seed count. The training set was used to construct the prediction model, and the test set was used to validate the performance of the prediction model. Observation indicators: (1) postoperative and follow-up condi-tions; (2) imaging feature selection and model construction; (3) evaluation of predictive efficacy of different radiomic models. Comparison of measurement data with normal distribution between groups was conducted using the t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. The Kaplan-Meier method was used to calculate the survival rate and draw survival curve. The Log-rank test was used for survival analysis. The perfor-mance of the prediction model for pCR after TNT was evaluated using the receiver operator charac-teristic (ROC) curve, precision-recall (P-R) curve and Bootstrap method, along with the calculation of area under the curve (AUC), precision rate, recall rate, F1-score. Results:(1) Postoperative and follow-up conditions. All 263 patients underwent surgery after TNT, with pathological examination revealing 124 cases of pCR (86 cases in the training set, 38 cases in the test set) and 139 cases of non-pCR (98 cases in the training set, 41 cases in the test set), respectively. All 263 patients were followed up for 6(range, 3-12) months after surgery, of which 15 cases (4 cases of pCR and 11 cases of non-pCR) were lost to follow-up or died due to non-tumor reasons within 6 months after surgery. The postoperative 6-month recurrence-free survival rate of 124 pCR patients and 139 non-pCR patients were 80% and 50%, respectively, showing a significant difference between the two groups of patients ( χ2=22.84, P<0.05). (2) Imaging feature selection and model construction. Construction of the traditional radiology model: based on the response evaluation criteria in solid tumors 1.1, the Logistic regression model was constructed using the relative shrinkage (D%) as a predictive variable. The AUC of traditional radiology model was 0.72 [95% confidence interval ( CI) as 0.63?0.81] in the training set and 0.75 (95% CI as 0.66?0.84) in the test set, respectively. Construction of the Delta radiomics model: 10 non-zero coefficient features were selected. The Delta radiomics models were constructed by using the regularized Logistic regression, random forest, gradient boosting machine, and support vector machine algorithms through using selected features as input variables. (3) Evaluation of predictive efficacy of different radiomic models. The AUC of Delta radiomics model constructed by regularized Logistic regression algorithm in the test set for predicting pCR in pancreatic cancer after TNT was 0.90, higher than that of the random forest algorithm, gradient boosting machine algorithm, support vector machine algorithm (AUC as 0.81, 0.81, 0.83), and higher than that of the traditional radiology model (AUC as 0.72). Results of Bootstrap method revealed significant differences in the predictive efficacy of Delta radiomics model constructed by regularized Logistic regression algorithm compared to the Delta radiomics model constructed by random forest algorithm, gradient boosting machine algorithm, support vector machine algorithm and the tradi-tional radiology model (95% CI as 0.03?0.16, 0.03?0.16, 0.03?0.13, 0.08?0.29, P<0.05). The regularized Logistic regression algorithm within the Delta radiomics model demonstrated the best overall performance among the above models evaluated. Conclusion:Compared to the traditional radiology model, the Delta radiomics model offers superior efficacy in predicting pCR of pancreatic cancer after TNT, in which the regularized Logistic regression algorithm demonstrates the best overall performance metrics.

Objective To investigate the correlation between the levels of activated protein C(APC),thromboxane B2(TXB2),and soluble B7-H3(sB7-H3)in the peripheral blood of elderly patients with pneumonia and the severity as well as prognosis of the disease.Methods One hundred elderly pneumonia patients admitted to our hospital from March 2022 to June 2024 were enrolled as the study group,and 100 healthy volunteers during the same period were selected as the control group.The levels of APC,TXB2,and sB7-H3 in peripheral blood were com-pared between the two groups.Study group patients were further categorized into low-risk,medium-risk,and high-risk subgroups based on the CURB-65 score(Confusion,Uremia,Respiratory rate,Blood pressure,Age≥65 years).The levels of APC,TXB2,and sB7-H3 in peripheral blood were compared among patients with varying disease severities.Pearson correlation analysis was performed to evaluate the correlation between the levels of APC,TXB2,and sB7-H3 in peripheral blood and disease severity.The study group was followed up for 30 days and subsequently divided into good prognosis and poor prognosis subgroups according to their clinical outcomes.Clinical data and peripheral blood levels of APC,TXB2,and sB7-H3 were compared between patients with different prognoses.Partial correlation analysis was conducted to assess the relationship between peripheral blood levels of APC,TXB2,and sB7-H3 and prognosis.Finally,the predictive value of these biomarkers was evaluated using the Receiver Oper-ating Characteristic(ROC)curve.Results The level of APC in the peripheral blood of the study group was signifi-cantly lower than that of the control group,whereas the levels of TXB2 and sB7-H3 were significantly higher(P<0.05).The severity of the disease in the study group was assessed using the CURB-65 score,which categorized patients into 33 mild cases,39 moderate cases,and 28 severe cases.Severe patients exhibited a lower level of APC in peripheral blood compared to moderate and mild patients.Additionally,the levels of TXB2 and sB7-H3 in moderate patients were higher than those in mild patients,while severe patients demonstrated even higher levels of TXB2 and sB7-H3 compared to both moderate and mild patients(P<0.05).Pearson correlation analysis revealed that peripheral blood APC was negatively correlated with the CURB-65 score,whereas TXB2 and sB7-H3 were positively correlated with the CURB-65 score(P<0.05).During a 30-day follow-up period,the research team identified 79 patients with good prognoses and 21 patients with poor prognoses.Significant differences were observed in diabetes prevalence,disease severity,and APACHEⅡ scores between the poor prognosis subgroup and the good prognosis subgroup(P<0.05).The levels of APC in peripheral blood were significantly lower in the poor prognosis subgroup compared to the good prognosis subgroup,whereas the levels of TXB2 and sB7-H3 were significantly higher(P<0.05).Partial correlation analysis revealed that peripheral blood APC,TXB2,and sB7-H3 were significantly associ-ated with prognosis(P<0.05).The AUC values for predicting the prognosis of elderly pneumonia patients using peripheral blood APC,TXB2,and sB7-H3 were 0.752,0.738,and 0.761,respectively,with sensitivities of 66.67%,76.19%,and 66.67%,and specificities of 78.48%,67.09%,and 78.48%.When combining these three indicators for prognostic prediction,the AUC increased to 0.918,with a sensitivity of 85.71%and a specificity of 87.34%,demonstrating a significant improvement in predictive accuracy compared to each indicator used alone(Z=2.207,2.666,2.109,P=0.027,0.008,0.035).Conclusion The levels of APC,TXB2,and sB7-H3 in the peripheral blood of elderly patients with pneumonia are significantly associated with the severity and prognosis of the disease.Combined detection of these biomarkers can serve as a reliable predictor of clinical outcomes.

Objective To identify biomarkers that characterize its bitter-cold properties of Scutellaria Radix on the basis of evaluating its cold and hot properties,as well as possible metabolic pathways and related targets;To explore its molecular mechanism.Methods Totally 40 mice were randomly divided into a control group and a treatment group,and were orally administered with normal saline and Scutellaria Radix decoction,respectively,for 4 consecutive days.The cold and hot plate differential method was used to evaluate the cold and hot tendencies of the mice;UPLC-MS/MS technology was used to analyze mouse blood samples,differential metabolites were screened using principal component analysis,partial least squares discriminant analysis and orthogonal partial least squares discriminant analysis methods,and metabolic pathway analysis was performed;network modular analysis of differential metabolites was performed using Cytoscape 3.9.0 software to identify potential molecular targets.Results On the second day of administration,the anal temperature of mice in the treatment group decreased significantly compared to the control group(P<0.01);in the cold and hot tendency test,the mice in the treatment group showed an overall increase in high-temperature tendency and a higher proportion of high-temperature zone retention.There was a statistically significant difference(P<0.01,P<0.05)between the treatment group and the control group on the 2nd and 3rd day of treatment;the pattern recognition analysis of serum metabolome data showed that the serum samples of the treatment group and the control group could be completely separated,and a total of 14 differential metabolites were screened out;metabolic pathway analysis identified 16 related pathways,including unsaturated fatty acid biosynthesis,linoleic acid metabolism,citric acid cycle(TCA cycle),arachidonic acid metabolism,glycine,serine and threonine metabolism,steroid hormone biosynthesis,etc.;a total of 16 modules were obtained through network modular analysis,among which the arachidonic acid metabolism pathway and linoleic acid metabolism pathway modules were larger;the nodal degree values of arachidonic acid and linoleic acid were greater than the mean,involving arachidonic acid metabolism and linoleic acid metabolism pathways;by screening 26 genes associated with the cytochrome P450 enzyme system were obtained.Conclusion Scutellaria Radix may regulate the body's energy metabolism,achieve its biological effects,and characterize its medicinal properties by intervening in metabolic pathways such as arachidonic acid and linoleic acid.

Purpose This study aimed to evaluate the consistency of human epidermal growth factor receptor 2(HER2)status between primary breast cancer lesions and lung metastatic lesions and to establish a prognostic model for predicting the survival rate of HER2 low expression(HER2-low)breast cancer patients with lung metastasis.Methods Clinicopathological data from a cohort of 252 patients with breast cancer and lung metastasis were retrospec-tively analyzed.Results 50.00％of the patients had HER2-low expression in metastatic lesions,and HER2-low ex-pression was the most prevalent subgroup in both primary and metastatic lesions.A discordance in HER2 status be-tween primary and metastatic sites was observed in 28.07％of cases.The most frequent shift was from HER2-zero in the primary tumor to HER2-low expression in the metastasis(12.28％of all cases).Estrogen receptor(ER)status,menopausal status,and histological type were identified as independent prognostic factors for overall survival(OS)by univariate and multivariate Cox regression analyses.A prognostic model incorporating these factors was constructed to predict 3-year and 5-year survival.The model demonstrated area under the curve(AUC)values of 0.765 and 0.780 for 3-year and 5-year OS in the training cohort,and 0.667 and 0.706 in the validation cohort,respectively.Conclu-sion HER2-low expression is the most common subtype among breast cancer patients with lung metastasis.The ob-served shift from HER2-zero in primary lesions to HER2-low in metastases underscores the clinical necessity of re-biop-sy at metastatic sites.The developed prognostic model effectively predicts OS in this patient population.