ObjectiveTo establish a rapid analytical method for identifying the differential components in Poria cocos medicinal materials based on ultra performance liquid chromatography-quadrupole-electrostatic field orbital trap high-resolution mass spectrometry（UPLC-Q-Orbitrap-MS）， combined with mass defect filtering（MDF） and molecular network integration techniques. MethodsUPLC-Q-Orbitrap-MS was used for MS data acquisition and identification of P. cocos medicinal materials， with the help of MDF for the study of cleavage behavior and structural identification of triterpenoids. According to the similarity of MS/MS fragmentation patterns of each component， global natural product social molecular network（GNPS） was established， and Cytoscape 3.6.1 was used to screen molecular clusters with similar structures and the the structure of main compound classes were identified and confirmed. Multivariate statistical analyses such as principal component analysis（PCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA） were used to screen the differential components of the five P. cocos medicinal materials with the variable importance in the projection（VIP） value>1 and P<0.05 as the criteria. ResultsA total of 66 compounds were identified by database comparison， 8 compounds were newly identified by MDF， 28 compounds were newly identified by GNPS， and a total of 102 chemical compounds were identified， including 43 triterpenoids， 16 saccharides， 26 amino acids and peptides， 3 nucleosides， and 14 other compounds. Triterpenoids were predominant in Poriae Cutis and wild Fushen， amino acids and peptides were the most abundant in Poria and cultivated Fushen， carbohydrates were the most abundant in Poriae Cutis. Type Ⅰ and Ⅱ triterpenoids had higher amounts in Poria and cultivated Fushen， type Ⅲ triterpenoids were more abundant in Poriae Cutis， all four types of triterpenoids were higher in Fushenmu， and type Ⅰ， Ⅱ， and Ⅳ triterpenoids were higher in wild Fushen. A total of 12 common differential chemical constituents were screened， including serine， guanosine， gallic acid， 2-octenal， maltotriose， trametenolic acid， dehydroeburicoic acid， dehydrotrametenolic acid， poricoic acid A， poricoic acid B， poricoic acid E and G， but the relative contents of them varied significantly among different medicinal materials. ConclusionAmong the five P. cocos medicinal materials， the types of constituents are generally similar， but their relative contents differed significantly among these medicinal materials， especially in the distribution of triterpenoids. The integration of UPLC-Q-Orbitrap-MS， MDF and GNPS can provide a reference for the rapid qualitative analysis of other Chinese medicines.

ObjectiveTo establish a rapid analytical method for identifying the differential components in Poria cocos medicinal materials based on ultra performance liquid chromatography-quadrupole-electrostatic field orbital trap high-resolution mass spectrometry（UPLC-Q-Orbitrap-MS）， combined with mass defect filtering（MDF） and molecular network integration techniques. MethodsUPLC-Q-Orbitrap-MS was used for MS data acquisition and identification of P. cocos medicinal materials， with the help of MDF for the study of cleavage behavior and structural identification of triterpenoids. According to the similarity of MS/MS fragmentation patterns of each component， global natural product social molecular network（GNPS） was established， and Cytoscape 3.6.1 was used to screen molecular clusters with similar structures and the the structure of main compound classes were identified and confirmed. Multivariate statistical analyses such as principal component analysis（PCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA） were used to screen the differential components of the five P. cocos medicinal materials with the variable importance in the projection（VIP） value>1 and P<0.05 as the criteria. ResultsA total of 66 compounds were identified by database comparison， 8 compounds were newly identified by MDF， 28 compounds were newly identified by GNPS， and a total of 102 chemical compounds were identified， including 43 triterpenoids， 16 saccharides， 26 amino acids and peptides， 3 nucleosides， and 14 other compounds. Triterpenoids were predominant in Poriae Cutis and wild Fushen， amino acids and peptides were the most abundant in Poria and cultivated Fushen， carbohydrates were the most abundant in Poriae Cutis. Type Ⅰ and Ⅱ triterpenoids had higher amounts in Poria and cultivated Fushen， type Ⅲ triterpenoids were more abundant in Poriae Cutis， all four types of triterpenoids were higher in Fushenmu， and type Ⅰ， Ⅱ， and Ⅳ triterpenoids were higher in wild Fushen. A total of 12 common differential chemical constituents were screened， including serine， guanosine， gallic acid， 2-octenal， maltotriose， trametenolic acid， dehydroeburicoic acid， dehydrotrametenolic acid， poricoic acid A， poricoic acid B， poricoic acid E and G， but the relative contents of them varied significantly among different medicinal materials. ConclusionAmong the five P. cocos medicinal materials， the types of constituents are generally similar， but their relative contents differed significantly among these medicinal materials， especially in the distribution of triterpenoids. The integration of UPLC-Q-Orbitrap-MS， MDF and GNPS can provide a reference for the rapid qualitative analysis of other Chinese medicines.

ObjectiveIn order to provide a reference for the optimization of preparation process of stir-fried Glycyrrhizae Radix et Rhizoma（sf-GRR）， the quality changes during the processing was studied. MethodsGlycyrrhizae Radix et Rhizoma was processed by stir-frying for 17 min， and samples were collected every 1 min during the processing. The appearance color of the samples was determined by visual analysis technology， the moisture and extract of the process samples were detected by the drying method and the hot extraction method of alcohol-soluble extract in the general rules of the 2020 edition of Chinese Pharmacopoeia（part Ⅳ）， and the contents of liquiritin apioside， liquiritin， isoliquiritin apioside， isoliquiritin， licoricesaponin G₂ and glycyrrhizic acid in the process samples were determined by high performance liquid chromatography（HPLC）. Then principal component analysis（PCA）， partial least squares-discriminant analysis（PLS-DA） and Spearman correlation analysis were used for clustering， discrimination and correlation analysis of the appearance color， moisture， extract and the contents of six internal components. Based on artificial neural network and random forest algorithm， the prediction model of processing degree of sf-GRR was established. On this basis， based on the five principles of quality marker（Q-Maker）， explore the monitoring Q-Maker of sf-GRR. ResultsThe color of Glycyrrhizae Radix et Rhizoma deepened after stir-frying， and the appearance color of the sample changed from light yellow to dark yellow during processing. During the stir-frying process， the moisture content showed a decreasing trend with the extension of processing time， while the extract content showed an increasing trend with the extension of processing time. After stir-frying， the contents of liquiritin apioside， liquiritin and licoricesaponin G₂ showed an overall decreasing trend， while the contents of isoliquiritin apioside and isoliquiritin increased， and the content of glycyrrhizic acid increased slightly. The correlation analysis showed that moisture was positively correlated with brightness（L^*） and red/green value（a^*）， and negatively correlated with yellow/blue value（b^*） and total color difference（E^*ab）. Isoliquiritin apioside and isoliquiritin had negative correlation with L^* and a^*， and positive correlation with b^* and E^*ab. The processing process of sf-GRR could be divided into two stages of the early stage（0-14 min） and the late stage（15-17 min）， and could be divided into three stages of the early stage（0-6 min）， the middle stage（7-14 min） and the late stage（15-17 min） by combining the moisture， extract， the contents of 6 components and color values. Based on artificial neural network analysis and random forest algorithm， isoliquiritin apioside， isoliquiritin， liquiritin and glycyrrhizic acid were selected as monitoring markers for sf-GRR. ConclusionBased on the analysis of the exterior-interior indicators of process samples of sf-GRR， this paper ultimately identifies four processing monitoring markers， which can provide a basis for optimizing the processing technology of sf-GRR.

Objective To develop GTKO (α-1,3-galactosyltransferase gene-knockout, GTKO)/hCD55 (human CD55) gene-edited xenotransplant donor pigs and verify their function. Methods In this study, CRISPR (clustered regularly interspaced short palindromic repeats)/Cas9 (CRISPR-associated nuclease 9), PiggyBac transposon technology and somatic cell nuclear transfer technology were used to construct GTKO/hCD55 gene-edited Diannan miniature pigs. The phenotype and function of GTKO/hCD55 pigs were analyzed by Sanger sequencing, real-time fluorescence quantitative PCR, flow cytometry, immunofluorescence, bisulfite sequencing, antigen-antibody binding assays, and complement-dependent cytotoxicity assays. Results After transfection of PX458 and PiggyBac gene editing vectors into wild-type fetal pig fibroblasts, 48 single-cell colonies were obtained through puromycin drug screening. Two single-cell colonies were selected for somatic cell nuclear transfer, resulting in two fetal pigs at 33 days of gestation. The GGTA1(α-1,3-galactosyltransferase) genotypes of fetal pig F01 were -17 bp and wild type (WT), while the GGTA1 genotypes of fetal pig F02 were -26 bp/+2 bp and -3 bp. The hCD55 mRNA expression levels of both fetal pigs were significantly higher than those of WT pigs (P＜0.01). The fetal pig F02 was selected as the donor cell source for recloning, 11 surviving piglets were obtained, all identified as GTKO/hCD55 gene-edited pigs. These pigs showed absence of α-Gal antigen expression, but weak or no expression of hCD55 was observed. Methylation analysis of the hCD55 gene's CpG island showed hypermethylation in kidney tissue lacking hCD55 expression, whereas it was not methylated or partially methylated in kidney tissue expressing hCD55. Moreover, codon optimization of the CpG island of the hCD55 gene to reduce CG content could achieve stable expression of the hCD55 gene. In addition, antigen-antibody binding experiment showed that the amount of human IgM binding to GTKO/hCD55 gene-edited pig fibroblasts was significantly lower than that of WT pigs (P＜0.01). Complement-dependent cytotoxicity experiment showed that the survival rate of fibroblasts in GTKO/hCD55 pigs was significantly higher than that in WT pigs (P＜0.01). Conclusion This study demonstrates the successful generation of GTKO/hCD55 gene-edited xenotransplant donor pigs. Methylation-induced gene silencing of the hCD55 gene can be effectively avoided by reducing the CG content of the CpG island through codon optimization. This study provides a reference for the development of xenotransplant donor pigs and guides subsequent research on xenotransplantation.

Objective:To investigate the predictive value of radiomics features derived from dynamic contrast-enhanced MRI (DCE-MRI) based on habitat imaging technology for pathological complete response after neoadjuvant therapy (NAT) for breast cancer.Methods:All patients were female, aged 25-67 years. Patients were stratified into training ( n=83) and validation ( n=36) sets via stratified random sampling (7∶3 ratio). Pathological complete remission (pCR) and non-pathological complete remission (non-pCR) were defined using the Miller-Payne grading system. All patients underwent DCE-MRI before NAT. ITK-Snap software was used to outline the region of interest (ROI), the imaging histological features of the entire tumor region were extracted and screened, a traditional imaging histological model for predicting post-NAT pCR (ROI overall model) was constructed; the tumor region was divided into three subregions using habitat imaging technology, and the imaging histological features within ROI subregion 1, ROI subregion 2, and ROI subregion 3 were extracted and screened, and the habitat imaging model for predicting post-NAT pCR were constructed (ROI subregion 1 model, ROI subregion 2 model, ROI subregion 3 model). Univariate logistic regression identified clinical predictors of pCR for clinical model construction. Combined models integrating clinical predictors and habitat imaging features were established. The efficacy of each model in predicting pCR after NAT in breast cancer was evaluated using receiver operating characteristic curves and area under the curve (AUC), and the efficacy of clinical application of the models was evaluated using decision curve analysis (DCA). Results:Of the 119 patients, 74 were pCR patients, with 52 in the training set and 22 in the validation set, and 45 were non-pCR patients, with 31 in the training set and 14 in the validation set. Logistic regression analysis showed that human epidermal growth factor receptor 2 status ( OR=0.254, 95% CI 0.093-0.697, P=0.008) was an independent predictor of pCR after NAT, and this was used to construct a clinical prediction model. The predictive efficacy of ROI subregion 1 model and ROI subregion 2 model in the habitat model was higher than that of the traditional imaging histology model (ROI overall model), with AUCs of 0.805, 0.748,0.728 for the training set and 0.776,0.718,0.708 for the validation set, respectively. The combined clinical prediction model for predicting pCR after NAT in breast cancer had AUCs of 0.877 and 0.818 for the training and validation sets, respectively. DCA showed a higher net benefit for the combined model than for the traditional imaging histology model and the habitat imaging histology model. Conclusion:Compared with the traditional method of extracting the entire tumor region, extracting radiomics features from DCE-MRI subregions based on habitat imaging technology can improve the predictive performance of NAT efficacy in breast cancer.

Objective:To investigate the ultra-long-term antihypertensive efficacy, safety, major adverse events, and survival benefits of renal denervation (RDN) in patients with resistant hypertension (rHTN) and mild chronic kidney disease (CKD).Methods:This real-world, single-center retrospective study enrolled patients with rHTN and mild CKD who underwent RDN at Tianjin First Central Hospital between October 2011 and June 2016. Office blood pressure, home self-measured blood pressure, 24-hour ambulatory blood pressure, serum creatinine, estimated glomerular filtration rate, and urine albumin-to-creatinine ratio were collected at baseline and at 1, 5, and 13 years post-RDN. The total daily defined dose of antihypertensive medications at 13 years post-RDN was recorded, along with endpoint events during follow-up, including cardiovascular death, all-cause death, hospitalization for heart failure, myocardial infarction, and stroke. Patients were stratified according to CKD stage (G1-G2 vs. G3a) and baseline systolic blood pressure (mild-to-moderate vs. severe hypertension), and follow-up data were compared across subgroups.Results:A total of 40 patients were included, aged (51±15) years, including 26 (65%) males. At the 13-year follow-up, office systolic blood pressure (SBP) and diastolic blood pressure (DBP) decreased by (-32±20) mmHg and (-15±14) mmHg (1 mmHg=0.133 kPa), respectively; reductions in home self-measured blood pressure (SBP: (-25±14) mmHg, DBP: (-10±11) mmHg) and 24-hour ambulatory blood pressure (SBP: (-16±9 mmHg, DBP: (-10±6) mmHg) were also observed, alongside a reduction in the total daily defined dose of antihypertensive medications by (1.1±0.9) compared to baseline. Renal function assessments showed no significant differences at 13 years versus baseline in serum creatinine ((105±51) μmol/L vs. (96±22) μmol/L), estimated glomerular filtration rate ((72±22) ml·min -1·1.73 m -2 vs. (78±17) ml·min -1·1.73 m -2), or urine albumin-to-creatinine ratio ((101±86) mg/g vs. (127±82) mg/g) (all P>0.05). All-cause and cardiovascular mortality rates during follow-up were 13% (5/40) and 8% (3/40), respectively. Subgroup analysis results showed that, although CKD G1-G2 patients had smaller reductions in office SBP ((-31±20) mmHg vs. (-34±19) mmHg) and DBP ((-13±10) mmHg vs. (-25±18) mmHg) compared to G3a patients at 13 years, intergroup differences were not significant (all P>0.05). In contrast, severe hypertension subgroup exhibited greater reductions in office SBP ((-55±13) mmHg vs. (-20±10) mmHg) and DBP ((-24±17) mmHg vs. (-13±10) mmHg) versus mild-to-moderate hypertension subgroup (all P<0.05). Conclusion:RDN demonstrates sustained antihypertensive efficacy with favorable renal safety in rHTN patients with mild CKD. Patients with higher baseline systolic blood pressure may exhibit better responsiveness to RDN.

Objective:To investigate application of the teaching method of problem-based learning(PBL)combined with neuronavigation technique in neurosurgical teaching,so as to improve further the teaching quality.Methods:The teaching method of PBL combined with neuronavigation technique adopted the same PBL teaching approach with conventional teaching method,and the neuronavigation technique was applied to reconstruct three dimensional(3D)graphics for patients'imaging documents.The neuronavigation technique was used to display intraoperative operation process for students,and guide their operation in surgery,and conduct teaching for them.A total of 30 medical students who conducted internship at department of neurosurgery of Beijing Tiantan Hospital,Capital Medical University during January and December 2023 were selected.A random-number table method was adopted to divide them into conventional PBL teaching method group(n=15)and PBL combined with neuronavigation technique teaching method group(n=15).The students'assessment results between two teaching methods were compared when they completed internship.A self-made survey questionnaire was adopted to investigate students'satisfaction for two kinds of teaching methods.Results:The assessment results of theory,technical ability and imaging of PBL combined with neuronavigation technique teaching method group were respectively(90.27±2.66),(90.73±2.71)and(90.13±2.77),all of which were higher than those of conventional PBL teaching method,and the differences were significant(t=13.82,7.95,13.93,P<0.05).The satisfactions about case,teacher performance,auxiliary teaching tools,learning initiative,learning efficiency,the mastery of theoretical,anatomical and imaging knowledge,the mastery of operational skills,and communication and interaction in PBL combined with neuronavigation technique teaching method group were all higher than those of conventional PBL teaching method,and the differences were significant(t=10.96,5.98,6.51,4.64,3.83,4.80,6.95,7.54,9.47,5.93,P<0.05).Conclusion:The application of the teaching method that PBL combined with neuronavigation technique in the teaching of neurosurgery for medical students can improve the teaching quality of neurosurgery,and enhance the satisfaction of students for teaching method.

Objective:To investigate application of the teaching method of problem-based learning(PBL)combined with neuronavigation technique in neurosurgical teaching,so as to improve further the teaching quality.Methods:The teaching method of PBL combined with neuronavigation technique adopted the same PBL teaching approach with conventional teaching method,and the neuronavigation technique was applied to reconstruct three dimensional(3D)graphics for patients'imaging documents.The neuronavigation technique was used to display intraoperative operation process for students,and guide their operation in surgery,and conduct teaching for them.A total of 30 medical students who conducted internship at department of neurosurgery of Beijing Tiantan Hospital,Capital Medical University during January and December 2023 were selected.A random-number table method was adopted to divide them into conventional PBL teaching method group(n=15)and PBL combined with neuronavigation technique teaching method group(n=15).The students'assessment results between two teaching methods were compared when they completed internship.A self-made survey questionnaire was adopted to investigate students'satisfaction for two kinds of teaching methods.Results:The assessment results of theory,technical ability and imaging of PBL combined with neuronavigation technique teaching method group were respectively(90.27±2.66),(90.73±2.71)and(90.13±2.77),all of which were higher than those of conventional PBL teaching method,and the differences were significant(t=13.82,7.95,13.93,P<0.05).The satisfactions about case,teacher performance,auxiliary teaching tools,learning initiative,learning efficiency,the mastery of theoretical,anatomical and imaging knowledge,the mastery of operational skills,and communication and interaction in PBL combined with neuronavigation technique teaching method group were all higher than those of conventional PBL teaching method,and the differences were significant(t=10.96,5.98,6.51,4.64,3.83,4.80,6.95,7.54,9.47,5.93,P<0.05).Conclusion:The application of the teaching method that PBL combined with neuronavigation technique in the teaching of neurosurgery for medical students can improve the teaching quality of neurosurgery,and enhance the satisfaction of students for teaching method.

Objective:To investigate the predictive value of radiomics features derived from dynamic contrast-enhanced MRI (DCE-MRI) based on habitat imaging technology for pathological complete response after neoadjuvant therapy (NAT) for breast cancer.Methods:All patients were female, aged 25-67 years. Patients were stratified into training ( n=83) and validation ( n=36) sets via stratified random sampling (7∶3 ratio). Pathological complete remission (pCR) and non-pathological complete remission (non-pCR) were defined using the Miller-Payne grading system. All patients underwent DCE-MRI before NAT. ITK-Snap software was used to outline the region of interest (ROI), the imaging histological features of the entire tumor region were extracted and screened, a traditional imaging histological model for predicting post-NAT pCR (ROI overall model) was constructed; the tumor region was divided into three subregions using habitat imaging technology, and the imaging histological features within ROI subregion 1, ROI subregion 2, and ROI subregion 3 were extracted and screened, and the habitat imaging model for predicting post-NAT pCR were constructed (ROI subregion 1 model, ROI subregion 2 model, ROI subregion 3 model). Univariate logistic regression identified clinical predictors of pCR for clinical model construction. Combined models integrating clinical predictors and habitat imaging features were established. The efficacy of each model in predicting pCR after NAT in breast cancer was evaluated using receiver operating characteristic curves and area under the curve (AUC), and the efficacy of clinical application of the models was evaluated using decision curve analysis (DCA). Results:Of the 119 patients, 74 were pCR patients, with 52 in the training set and 22 in the validation set, and 45 were non-pCR patients, with 31 in the training set and 14 in the validation set. Logistic regression analysis showed that human epidermal growth factor receptor 2 status ( OR=0.254, 95% CI 0.093-0.697, P=0.008) was an independent predictor of pCR after NAT, and this was used to construct a clinical prediction model. The predictive efficacy of ROI subregion 1 model and ROI subregion 2 model in the habitat model was higher than that of the traditional imaging histology model (ROI overall model), with AUCs of 0.805, 0.748,0.728 for the training set and 0.776,0.718,0.708 for the validation set, respectively. The combined clinical prediction model for predicting pCR after NAT in breast cancer had AUCs of 0.877 and 0.818 for the training and validation sets, respectively. DCA showed a higher net benefit for the combined model than for the traditional imaging histology model and the habitat imaging histology model. Conclusion:Compared with the traditional method of extracting the entire tumor region, extracting radiomics features from DCE-MRI subregions based on habitat imaging technology can improve the predictive performance of NAT efficacy in breast cancer.

Objective:To investigate the ultra-long-term antihypertensive efficacy, safety, major adverse events, and survival benefits of renal denervation (RDN) in patients with resistant hypertension (rHTN) and mild chronic kidney disease (CKD).Methods:This real-world, single-center retrospective study enrolled patients with rHTN and mild CKD who underwent RDN at Tianjin First Central Hospital between October 2011 and June 2016. Office blood pressure, home self-measured blood pressure, 24-hour ambulatory blood pressure, serum creatinine, estimated glomerular filtration rate, and urine albumin-to-creatinine ratio were collected at baseline and at 1, 5, and 13 years post-RDN. The total daily defined dose of antihypertensive medications at 13 years post-RDN was recorded, along with endpoint events during follow-up, including cardiovascular death, all-cause death, hospitalization for heart failure, myocardial infarction, and stroke. Patients were stratified according to CKD stage (G1-G2 vs. G3a) and baseline systolic blood pressure (mild-to-moderate vs. severe hypertension), and follow-up data were compared across subgroups.Results:A total of 40 patients were included, aged (51±15) years, including 26 (65%) males. At the 13-year follow-up, office systolic blood pressure (SBP) and diastolic blood pressure (DBP) decreased by (-32±20) mmHg and (-15±14) mmHg (1 mmHg=0.133 kPa), respectively; reductions in home self-measured blood pressure (SBP: (-25±14) mmHg, DBP: (-10±11) mmHg) and 24-hour ambulatory blood pressure (SBP: (-16±9 mmHg, DBP: (-10±6) mmHg) were also observed, alongside a reduction in the total daily defined dose of antihypertensive medications by (1.1±0.9) compared to baseline. Renal function assessments showed no significant differences at 13 years versus baseline in serum creatinine ((105±51) μmol/L vs. (96±22) μmol/L), estimated glomerular filtration rate ((72±22) ml·min -1·1.73 m -2 vs. (78±17) ml·min -1·1.73 m -2), or urine albumin-to-creatinine ratio ((101±86) mg/g vs. (127±82) mg/g) (all P>0.05). All-cause and cardiovascular mortality rates during follow-up were 13% (5/40) and 8% (3/40), respectively. Subgroup analysis results showed that, although CKD G1-G2 patients had smaller reductions in office SBP ((-31±20) mmHg vs. (-34±19) mmHg) and DBP ((-13±10) mmHg vs. (-25±18) mmHg) compared to G3a patients at 13 years, intergroup differences were not significant (all P>0.05). In contrast, severe hypertension subgroup exhibited greater reductions in office SBP ((-55±13) mmHg vs. (-20±10) mmHg) and DBP ((-24±17) mmHg vs. (-13±10) mmHg) versus mild-to-moderate hypertension subgroup (all P<0.05). Conclusion:RDN demonstrates sustained antihypertensive efficacy with favorable renal safety in rHTN patients with mild CKD. Patients with higher baseline systolic blood pressure may exhibit better responsiveness to RDN.