ObjectiveBased on modern analytical techniques and a depressed mouse model established by chronic unpredictable mild stress（CUMS）， to evaluate the quality marker（Q-Marker） and pharmacodynamic difference of Baihe Dihuangtang prepared by different processes. MethodsHigh performance liquid chromatography（HPLC） was used to establish the characteristic profiles of Baihe Dihuangtang， and determine the content of Q-Marker in the samples prepared by ancient and modern processes. Seventy C57BL/6J mice were randomly divided into the normal group， model group， fluoxetine group（3 mg·kg^-1）， low and high dose groups of ancient process（6.5， 26 g·kg^-1）， and low and high dose groups of modern process（6.5， 26 g·kg^-1）， with 10 mice in each group. Except for the normal group， CUMS was used to induce depression in mice from the other groups for 28 d. After successful modeling， administration groups were given the corresponding drugs by gavage every day， and the normal and model groups were given an equal volume of pure water by gavage for 21 consecutive days. Change in body mass of mice was recorded， tail suspension test and open field test were used to evaluate the depressive behavior of mice， and enzyme-linked immunosorbent assay（ELISA） was employed to determine the contents of tumor necrosis factor-α（TNF-α）， interleukin（IL）-1β and IL-6 in serum. ResultsCharacteristic profiles of Baihe Dihuangtang prepared by the two processes were established， the similarity between the two was 0.951， and 8 characteristic peaks were recognized with the reference peak of regaloside A. The results of quantitative analysis showed that the Q-Marker content was similar in Baihe Dihuangtang prepared by ancient and modern processes. The results of pharmacodynamics showed that， compared with the normal group， the model group showed increased immobility time in the tail suspension test， reduced total movement distance in the open field test， and elevated IL-1β， IL-6 and TNF-α levels in the serum（P<0.01）. Compared with the model group， the behavioral indicators of mice in the Baihe Dihuangtang treatment group were significantly improved in terms of tail suspension time and open field exercise， and the levels of IL-1β， IL-6 and TNF-α in serum were significantly reduced（P<0.05， P<0.01）. Baihe Dihuangtang prepared by the two processes both had antidepressant effects， and the difference between the two was not statistically significant in improving depressive symptoms. ConclusionQ-Marker of Baihe Dihuangtang prepared by modern and ancient methods are equivalent in content， and the pharmacological effects are consistent， indicating that dried Lilii Bulbus can replace fresh products in the preparation of Baihe Dihuangtang. This study provides a scientific basis for the development of new drugs of Baihe Dihuangtang and a reference for its rational application and clinical use.

ObjectiveBased on modern analytical techniques and a depressed mouse model established by chronic unpredictable mild stress（CUMS）， to evaluate the quality marker（Q-Marker） and pharmacodynamic difference of Baihe Dihuangtang prepared by different processes. MethodsHigh performance liquid chromatography（HPLC） was used to establish the characteristic profiles of Baihe Dihuangtang， and determine the content of Q-Marker in the samples prepared by ancient and modern processes. Seventy C57BL/6J mice were randomly divided into the normal group， model group， fluoxetine group（3 mg·kg^-1）， low and high dose groups of ancient process（6.5， 26 g·kg^-1）， and low and high dose groups of modern process（6.5， 26 g·kg^-1）， with 10 mice in each group. Except for the normal group， CUMS was used to induce depression in mice from the other groups for 28 d. After successful modeling， administration groups were given the corresponding drugs by gavage every day， and the normal and model groups were given an equal volume of pure water by gavage for 21 consecutive days. Change in body mass of mice was recorded， tail suspension test and open field test were used to evaluate the depressive behavior of mice， and enzyme-linked immunosorbent assay（ELISA） was employed to determine the contents of tumor necrosis factor-α（TNF-α）， interleukin（IL）-1β and IL-6 in serum. ResultsCharacteristic profiles of Baihe Dihuangtang prepared by the two processes were established， the similarity between the two was 0.951， and 8 characteristic peaks were recognized with the reference peak of regaloside A. The results of quantitative analysis showed that the Q-Marker content was similar in Baihe Dihuangtang prepared by ancient and modern processes. The results of pharmacodynamics showed that， compared with the normal group， the model group showed increased immobility time in the tail suspension test， reduced total movement distance in the open field test， and elevated IL-1β， IL-6 and TNF-α levels in the serum（P<0.01）. Compared with the model group， the behavioral indicators of mice in the Baihe Dihuangtang treatment group were significantly improved in terms of tail suspension time and open field exercise， and the levels of IL-1β， IL-6 and TNF-α in serum were significantly reduced（P<0.05， P<0.01）. Baihe Dihuangtang prepared by the two processes both had antidepressant effects， and the difference between the two was not statistically significant in improving depressive symptoms. ConclusionQ-Marker of Baihe Dihuangtang prepared by modern and ancient methods are equivalent in content， and the pharmacological effects are consistent， indicating that dried Lilii Bulbus can replace fresh products in the preparation of Baihe Dihuangtang. This study provides a scientific basis for the development of new drugs of Baihe Dihuangtang and a reference for its rational application and clinical use.

OBJECTIVE To analyze chemical components of Yao ethnic medicine Pittosporum pauciflorum， establish its fingerprint and investigate the spectrum-effect relationship of its anti-inflammatory effect. METHODS UHPLC-Q-Orbitrap-MS technology was used to analyze the chemical components of P. pauciflorum （batch S6）. The fingerprints for 10 batches of P. pauciflorum from different producing areas in Guangxi Province （batches S1-S10） were established by HPLC， and similarity assessment and chemometric pattern recognition analysis were conducted. RAW264.7 inflammatory cell model was induced by lipopolysaccharide， and the anti-inflammatory activity of P. pauciflorum was investigated. Using inhibition rates of nitric oxide （NO）， tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6） and IL-1β as efficacy indicators， grey relational analysis and partial least squares regression analysis were adopted to evaluate the spectrum-effect relationship of the anti-inflammatory effect of P. pauciflorum. RESULTS There were 60 chemical components， including flavonoids， phenolic acids， lipids， etc.， identified in P. pauciflorum. The fingerprints for 10 batches of P. pauciflorum showed 14 common peaks，with similarity values ranging from 0.883 to 0.991. Three common peaks were assigned neochlorogenic acid （peak 5）， chlorogenic acid （peak 7）， and syringaldehyde （peak 10）. The classification results of the systematic clustering analysis and the principal component analysis were basically consistent. Batches S1 to S10 of P. pauciflorum significantly reduced the levels of NO， TNF-α， IL-6 （except for batch S5） and IL-1β in the cell supernatant （P＜0.05 or P＜0.01）. Inhibition rates of above inflammatory indexes were 10.26%-39.96%， 14.96%-31.36%， 1.38%-21.27%， 18.54%-28.00%， respectively. The contents of neochlorogenic acid， syringaldehyde， as well as the components corresponding to peaks 1， 3， 9， 12 and 14，exhibited a strong correlation with the anti-inflammatory effects of P. pauciflorum. CONCLUSIONS The present study has analyzed the chemical components of P. pauciflorum and established HPLC fingerprints for 10 batches of P. pauciflorum. Each batch of medicinal herbs demonstrates certain anti- inflammatory activities， among which neochlorogenic acid， syringaldehyde， and the components corresponding to peaks 1， 3， 9， 12 and 14 are likely to be the active anti-inflammatory components.

OBJECTIVE: To observe the efficacy and safety of moxibustion in treating patients with central obesity of phlegm-dampness constitution. METHODS: A total of 66 patients with central obesity of phlegm-dampness constitution were randomly assigned to a moxibustion group (n=33, 3 cases dropped out) and a sham moxibustion group (n=33, 4 cases dropped out). The moxibustion group received mild moxibustion combined with lifestyle intervention; the moxibustion was applied at Shenque (CV8) and bilateral Zusanli (ST36), 30 min per session, maintaining a local skin temperature of (43±1) ℃. The sham moxibustion group received simulated moxibustion combined with lifestyle intervention; the simulated moxibustion was applied at the same acupoints, with the same session length, but with a maintained skin temperature of (37±1) ℃. Both groups were treated once every other day, three times per week for 8 consecutive weeks. Obesity-related physical indicators (waist circumference, hip circumference, body weight, body fat percentage, body mass index [BMI]), constitution evaluation indicators (phlegm-dampness constitution conversion score, symptom score), the impact of weight on quality of life-lite (IWQOL-Lite), the hospital anxiety and depression scale (HADS), and the incidence of adverse events were measured before and after treatment, and after 4 weeks of follow-up. RESULTS: Compared with before treatment, both groups showed significant reductions in waist circumference, hip circumference, body weight, body fat percentage, BMI, phlegm-dampness constitution conversion score and symptom score, IWQOL-Lite, and both anxiety and depression subscale scores of HADS after treatment and at follow-up (P<0.001). These improvements were significantly greater in the moxibustion group than those in the sham moxibustion group (P<0.001, P<0.01, P<0.05). One patient in the moxibustion group experienced a mild burn that resolved with routine care; the incidence of adverse reactions was 3.0% (1/33) in the moxibustion group and 0% (0/33) in the sham moxibustion group, with no statistically significant difference (P>0.05). CONCLUSION On the basis of lifestyle intervention, moxibustion effectively improves obesity-related physical indicators, enhances quality of life, alleviates anxiety and depression, and improves the phlegm-dampness constitution in patients with central obesity. These benefits persist for at least 4 weeks after treatment.
Humans ; Moxibustion ; Male ; Female ; Middle Aged ; Adult ; Obesity, Abdominal/psychology* ; Acupuncture Points ; Treatment Outcome ; Aged ; Quality of Life ; Young Adult ; Body Mass Index

OBJECTIVE To explore the risk factors for postoperative infectious endophthalmitis,distribution of pathogens and peripheral blood interleukin-17(IL-17),matrix metalloproteinase-2(MMP-2)and insulin-like growth factor-1(IGF-1)in the patients with cataract and analyze the significance.METHODS A total of 60,000 patients with cataract who received surgical procedures in Daqing Eye Hospital from Jan.2018 to Jun.2024 were recruited as the research subjects.The aqueous humor and vitreous humor were collected from the patients with postoperative infectious endophthalmitis,and the isolated pathogens were identified.The baseline data were com-pared,the risk factors for the infectious endophthalmitis were analyzed.The levels of serum IL-17,MMP-2 and IGF-1 were compared,and the efficiencies of the indexes in prediction of infectious endophthalmitis were analyzed.RESULTS Totally 65,600 eyes involving 60,000 patients were enrolled in the study,21 of which(21 patients)were diagnosed with infectious endophthalmitis,with the incidence rate 0.032％.All of the 21 eyes were cultured positive for pathogens,among which gram-positive bacteria(73.08％)were dominant.Univariate analysis and multivariate analysis showed that complication with diabetes mellitus and vitreous overflow were the risk factors for the postoperative infectious endophthalmitis in the cataract patients.There were significant differences in the levels of serum IL-7,MMP-2 and IGF-1 between the infection group and the non-infection group after the surgery for 3 days(P＜0.05).Receiver operating characteristic(ROC)curve analysis showed that the levels of serum IL-17,MMP-2 and IGF-1 after the surgery for 3 days could predict the occurrence of postoperative infectious endoph-thalmitis in the cataract patients,and the joint detection of the three indexes has highest predictive efficiency(P＜0.05),the area under the curve was 0.950,with the sensitivity 95.24％,the specificity 81.91％.CONCLUSIONS The incidence rate of postoperative endophthalmitis is 0.032％among the cataract patients.The complication with diabetes mellitus and vitreous outflow are the risk factors.The gram-positive bacteria are dominant among the pathogens.The changes of serum IL-17,MMP-2 and IGF-1 levels are closely associated with the occurrence of en-dophthalmitis,which has predictive value.

Objective To investigate the clinical significance and potential mechanism of NAT10 in hepatocellular carcinoma.Meth-ods A total of 50 normal and 374 tumor samples were obtained based on The Cancer Genome Atlas(TCGA),and the data were pro-cessed by R 4.2.1.Results The expression of NAT10 in tumor samples was significantly higher than that in normal samples(P＜0.001).Compared with patients with low expression of NAT10,patients with high expression of NAT10had worse prognosis(P＜0.001).Logistic regression analysis showed that high NAT10 expression was associated with adverse clinical prognostic factors,and pa-tients with high NAT10 expression were more likely to progress to the advanced stage.Gene set enrichment analysis(GSEA)results showed that the genes related to heterobiotic metabolism,blood coagulation and fatty acid metabolism were differentially enriched in the samples with high expression of NAT10.The protein interaction analysis results showed that NAT10may interact with genes such as IGF2,SST,MUC2,CHGA,AGR2,etc.Conclusion NAT10 is highly expressed in hepatocellular carcinoma,and the expression level is cor-related with the clinical characteristics and survival rate of patients with hepatocellular carcinoma.NAT10may be a potential molecular bio-marker for hepatocellular carcinoma prognosis.

Objective To evaluate the consumption of opioid and postoperative analgesia of intercostal nerve block(ICNB)and paravertebral block(PVB)for autologuous rib cartilage graft for auricular reconstruction in children with microtia.Methods A total of 120 patients scheduled for autologuous rib cartilage graft for auricular reconstruction were enrolled.According to randomized blocks,patients were allocated into three groups(n=40 in each group):general anesthesia group(GA group),ultrasound-guided intercostal nerve block group(ICNB group)and ultrasound-guided PVB group(PVB group).GA group only received general anesthesia,while ICNB group and PVB group received single-shot nerve block with lidocaine after induction of general anesthesia.All groups were received patient-controlled intravenous analgesia(PCIA)for 48 hours postoperatively.Intraoperative opioid requirement was recorded.Heart rate(HR)and mean arterial pressure(MAP)were recorded at different time points during surgery.Time of the first visual analogue scale(VAS)obtained and duration of postanesthesia care unit(PACU)stay were evaluated.The VAS scores of chest and ear during deep breath and at rest were recorded during 48 hours postoperatively.Opioid consumption and postoperative analgesia-related adverse events were compared among the three groups during 48 hours after surgery.Results Compared with those in GA group,intraoperative fentanyl consumption(P=0.02,P<0.01),time of the first VAS obtained(P<0.01,P=0.02),duration of PACU stay(P<0.01,P<0.01)and HR when harvesting the first rib cartilage(P=0.04,P<0.01)were statistically lower in ICNB group and PVB group than those in GA group,but no statistical difference was found between these two groups.There were no statistical differences in VAS scores,opioid consumption and analgesia-related adverse events among the three groups.Conclusion Ultrasound-guided single-shot ICNB and PVB with lidocaine provide similar efficacy of reducing intraoperative opioid consumption,maintaining intraoperative hemodynamic stability and faster awakening,but fail to alleviate postoperative pain.

Objective To investigate the efficacy of an interpretable integrated learning model combining clinical indicators,CT image features and radiomics features for the differential diagnosis of lung squamous cell carcinoma and adenocarcinoma,so as to provide references for clincal treatment decisions.Methods A retrospective analysis was conducted on clinical and imaging data from 220 patients(231 lesions)with primary non-small cell lung cancer at Jiangjin Central Hospital of Chongqing(Center 1)and 83 patients(84 lesions)at Chongqing General Hospital(Center 2).In Center 1,the squamous cell carcinoma group consisted of 60 patients(60 lesions),while the adenocarcinoma group included 160 patients(171 lesions).In Center 2,the squamous cell carcinoma group comprised 18 patients(18 lesions),and the adenocarcinoma group involved 65 patients(66 lesions).The patients were categorized into squamous cell carcinoma and adenocarcinoma groups based on pathological findings.Center 1 was randomly partitioned into a training set and a validation set at a 7∶3 ratio,while Center 2 served as the independent test set.Firstly,a deep learning model,VB-Net,was used to automatically segment the tumor region on the lung window image;secondly,the SMOTE(synthetic minority oversampling technique)method was used to balance the categories in the training set and standardize the extracted features with Z-scores;thirdly,the least absolute shrinkage and selection operator(LASSO)were used to select the optimal radiomics features and calculate the radiomics score(Radscore),and univariate and multivariate logistic regression was used to screen clinical indicators and independent clinical factors for differentiating lung squamous cell carcinoma and adenocarcinoma in CT image features;finally,three ensemble learning algorithms(AdaBoost,Bagging decision tree and XGBoost)were used to combine independent clinical factors and Radscore to construct the model.The receiver operating characteristic(ROC)curve was used to evaluate the diagnostic performance of the models.SHAP technique was used to analyze the feature contribution and model decision-making process.Results Among the evaluated ensemble models,AdaBoost and Bagging decision trees demonstrated overfitting tendencies.In contrast,the XGBoost model showed the best performance,achieving AUC values of 0.939,0.887 and 0.853 in the training,validation and independent test sets,respectively.SHAP indicated that Radscore was the most important feature affecting the performance of the model.The decision diagram enabled the visualization of the diagnostic process of the model.Conclusion The interpretable integrated learning model based on clinical indicators,CT image and radiomics features is expected to non-invasively diagnose lung squamous cell carcinoma and adenocarcinoma before treatment and assist clinicians make treatment decisions as early as possible.[Chinese Medical Equipment Journal,2025,46(7):12-20]

Objective To evaluate the value of dynamic contrast-enhanced magnetic resonance imaging(DCE-MRI)in differentiating histopathological types of brain metastases from non-small cell lung cancer(NSCLC).Methods Sixty-eight patients with brain metastases confirmed by pathology were collected,including 47 lung adenocarcinoma patients divided into a lung adenocarcinoma group and 21 lung squamous cell carcinoma patients into a lung squamous cell carcinoma group.The two groups were compared in terms of the DCE-MRI derived parameters including volume transfer constant(Ktrans),extra vascular extracellular volume fraction(Ve)and plasma volume fraction(Vp);ROC curves were used to assess the diagnostic efficacy of different quantitative parameters for the pathologic types of brain metastases from lung adenocarcinoma group or lung squamous cell carcinoma.SPSS 22.0 software was used for statistical analysis.Results The lung adenocarcinoma group had the values of Ktrans,Ve,Vp and Ve+Vp higher than those of the lung squamous cell carcinoma group,with the differences being statistically significant(all P＜0.05).ROC curve analysis results showed that Ktrans,Vp and Ve had high differential diagnosis values for the pathologic types of brain metastases from lung adenocarcinoma group or lung squamous cell carcinoma,with the AUC being 1.000,0.998 and 0.875,the optimal Youden index being 0.183 min-1,0.039 and 0.270,the sensitivity being 100.00％,100.00％and 80.56％and the specificity being 100.00％,97.06％and 80.88％,respectively.Conclusion The quantitative parameters of DCE-MRI gain advantages in the differential diagnosis of NSCLC brain metastases,and provide references for the diagnosis and treatment of brain metastases of lung cancer.[Chinese Medical Equipment Journal,2025,46(5):54-59]

Objective:To construct and validate a predictive model for postoperative pulmonary complications (PPCs) in patients undergoing robot-assisted laparoscopic urological surgery.Methods:This retrospective study included the medical records of 932 patients who underwent robot-assisted laparoscopic urological surgery at the First Affiliated Hospital of Zhejiang University School of Medicine from January 2020 to February 2022. The patients were divided into a training group ( n=559) and a validation group ( n=373) at a 6∶4 ratio. Logistic regression analysis was used to determine the independent risk factors for PPCs, and a nomogram prediction model was constructed based on these factors. The performance of the model was evaluated using the receiver operating characteristic curve and calibration curve, and the clinical benefit was assessed using the clinical decision curve analysis. Results:The independent risk factors for PPCs included advanced age (>60 yr), smoking history, respiratory tract infection within 1 month, preoperative low SpO 2 (<96%), and prolonged length of postoperative hospital stay ( P<0.05), and the body mass index (18.5-<28.0 kg/m 2) was a protective factor. The nomogram prediction model developed based on the aforementioned 6 influencing factors had an area under the receiver operating characteristic curve of 0.81 (95% confidence interval 0.76-0.86) in training group and 0.80 (95% confidence interval 0.75-0.86) in validation group. The calibration curve indicated a good consistency between the predicted and actual occurrence curves, and the clinical decision curve analysis showed good accuracy and net benefit of the prediction model. Conclusions:The predictive model for PPCs is successfully constructed based on age, low body mass index, smoking history, history of respiratory tract infection within 1 month, preoperative low SpO 2 and prolonged length of postoperative hospital stay and has good predictive performance in patients undergoing robot-assisted laparoscopic urological surgery.