OBJECTIVE To explore the pharmacokinetic characteristics of 3 blood-absorbed components of Xiangshao sanjie oral liquid in rats with hyperplasia of mammary gland （HMG）. METHODS Female SD rats were divided into control group and HMG group according to body weight， with 6 rats in each group. The HMG group was given estrogen+progesterone to construct HMG model. After modeling， two groups were given 1.485 g/kg of Xiangshao sanjie oral liquid （calculated by crude drug） intragastrically， once a day， for 7 consecutive days. Blood samples were collected before the first administration （0 h）， and at 5， 15， 30 minutes and 1， 2， 4， 8， 12， 24 hours after the last administration， respectively. Using chlorzoxazone as the internal standard， the plasma concentrations of ferulic acid， paeoniflorin and rosmarinic acid in rats were detected by UPLC-Q/TOF-MS. The pharmacokinetic parameters [area under the drug time curve （AUC0－24 h， AUC0－∞）， mean residence time （MRT0－∞）， half-life （t1/2）， peak time （tmax）， peak concentration （cmax）] were calculated by the non-atrioventricular model using Phoenix WinNonlin 8.1 software. RESULTS Compared with the control group， the AUC0－24 h， AUC0－∞ and cmax of ferulic acid in the HMG group were significantly increased （P＜0.05）； the AUC0－24 h， AUC0－∞ ， MRT0－∞ ， t1/2 and cmax of paeoniflorin increased， but there was no significant difference between 2 groups （P＞0.05）； the AUC0－24 h and MRT0-∞ of rosmarinic acid were significantly increased or prolonged （P＜0.05）. C ONCLUSIONS In HMG model rats， the exposure of ferulic acid， paeoniflorin and rosmarinic acid in Xiangshao sanjie oral liquid all increase， and the retention time of rosmarinic acid is significantly prolonged.

Objective:To investigate the value of machine learning models based on CT radiomics for predicting the outcome of neoadjuvant chemotherapy (NAC) in patients with locally advanced gastric cancer (LAGC).Methods:A retrospective case series study was conducted. A total of 279 LAGC patients receiving NAC before surgery in Shanxi Province Cancer Hospital from January 2018 to November 2020 were included. According to a ratio of 7∶3, all patients were randomly divided into the training set (196 cases) and the validation set (83 cases). According to the tumor regression grade (TRG), the pathological grade was divided into the good response of NAC (GR) group (TRG 0-1, 55 cases) and the poor response of NAC (PR) group (TRG 2-3, 224 cases). The clinicopathological data of patients were collected, such as age, gender, differentiation degree, clinical T and N staging, carcinoembryonic antigen (CEA), and carbohydrate antigen 199 (CA199) level. Radiomics features were extracted from the enhanced CT images in the vein phase, and the features were screened by 3-step dimensionality reduction. And then 5 machine learning algorithms including logistic regression (LR), naive bayes (NB), random forest (RF), support vector machine (SVM) and extreme gradient boosting (XGB) were applied to build prediction models based on the CT radiomics. The receiver operating characteristic (ROC) curve and the decision analysis (DCA) curve were drawn to evaluate the predictive performance and clinical benefit of each model on the outcome of NAC in patients with LAGC.Results:Among 196 patients in the training set, there were 39 cases in GR group and 157 cases in PR group; among 83 patients in the validation set, there were 16 cases in GR group and 67 cases in PR group. There were no statistically significant differences in clinicopathological data of patients between the training and validation sets, or between GR and PR groups in the training and validation sets (all P > 0.05). A total of 102 radiomics features were extracted from region of interest of CT images in the vein phase, and 6 key features were finally selected including original_firstorder_10Percentile, original_firstorder_RoubustMeanAbsoluteDeviation, original_glcm_Idmn, original_glcm_MCC, original_ngtdm_Busyness, original_ngtdm_Contrast; and there were statistically significant differences in 6 features between the GR and PR groups (all P < 0.05). LR, NB, RF, SVM and XGB machine learning algorithms were used to construct 5 prediction models based on the CT radiomics. The area under ROC curve for NAC prediction in the training set was 0.553, 0.709, 0.668, 0.772 and 0.790, respectively; in the validation set was 0.662, 0.622, 0.683, 0.752 and 0.784, respectively. The model constructed by XGB showed the best comprehensive performance, and its accuracy, sensitivity and specificity was 0.771, 0.562 and 0.821, respectively. In the DCA of 5 machine learning models in the training set, XGB-based model provided a higher net benefit. Conclusions:Machine learning models based on enhanced CT radiomics in the vein phase have a high predictive efficacy in the outcome of NAC in LAGC patients before surgery and it helps make clinical personalized treatment decisions.

Objective:To investigate the situation of computed tomography(CT)equipment and socio economic development of various grades and classifications of medical institutions in Jiangsu Province,and to analyze the interrelationship between them.Methods:From October 20,2023 to November 20,2023,a questionnaire survey was conducted on imported and domestic CT equipment of various grades and classifications of medical institutions in 13 prefecture-level cities in Jiangsu Province through online questionnaire survey of"questionnaire star".The gross domestic product(GDP)of each prefecture-level city in Jiangsu province was used as an indicator of measuring the level of socio-economic development in the region.The CT number,the row number of detector,quality of image,the total examination case number of daily average and the daily average case number of single machine examination of medical institutions of various grades and classifications of 13 prefecture-level cities were used to conduct correlation analysis with GDP values of various districts.Results:A total of 910 questionnaires were distributed,and 512 questionnaires were retrieved.There were 482 valid questionnaires in the 512 questionnaires,and the valid rate was 94.15,which involved to 482 various grade and classification institutions of 13 prefecture-level cities in Jiangsu province.The number of imported and domestic CT equipment in the 13 prefecture-level cities of Jiangsu Province positively correlated with the GDP of each city(r=0.882,0.880,P<0.001).The number of imported CT equipment with 64 rows and more than 64 rows,and with less than 64 rows,and the number of domestic CT equipment with 64 rows and more than 64 rows,and with less than 64 rows all positively correlated with the GDP of each city(r=0.880,0.881,0.736,0.897,P<0.05).The total number of daily average of examinations for imported and domestic CT equipment of 13 prefecture-level cities positively correlated with the GDP of each city(r=0.774,0.814,P<0.05).There were no significant difference in the image quality and the daily average case number of single machine examination between the domestic CT equipment and the imported CT equipment(P>0.05).Conclusion:The medical institutions of city with high level of economic development have more quantitative and more high-end CT equipment,and the quality of image of domestic CT equipment is equal to that of imported CT equipment regardless of the high and low level of economic development.

Objective:To investigate the situation of computed tomography(CT)equipment and socio economic development of various grades and classifications of medical institutions in Jiangsu Province,and to analyze the interrelationship between them.Methods:From October 20,2023 to November 20,2023,a questionnaire survey was conducted on imported and domestic CT equipment of various grades and classifications of medical institutions in 13 prefecture-level cities in Jiangsu Province through online questionnaire survey of"questionnaire star".The gross domestic product(GDP)of each prefecture-level city in Jiangsu province was used as an indicator of measuring the level of socio-economic development in the region.The CT number,the row number of detector,quality of image,the total examination case number of daily average and the daily average case number of single machine examination of medical institutions of various grades and classifications of 13 prefecture-level cities were used to conduct correlation analysis with GDP values of various districts.Results:A total of 910 questionnaires were distributed,and 512 questionnaires were retrieved.There were 482 valid questionnaires in the 512 questionnaires,and the valid rate was 94.15,which involved to 482 various grade and classification institutions of 13 prefecture-level cities in Jiangsu province.The number of imported and domestic CT equipment in the 13 prefecture-level cities of Jiangsu Province positively correlated with the GDP of each city(r=0.882,0.880,P<0.001).The number of imported CT equipment with 64 rows and more than 64 rows,and with less than 64 rows,and the number of domestic CT equipment with 64 rows and more than 64 rows,and with less than 64 rows all positively correlated with the GDP of each city(r=0.880,0.881,0.736,0.897,P<0.05).The total number of daily average of examinations for imported and domestic CT equipment of 13 prefecture-level cities positively correlated with the GDP of each city(r=0.774,0.814,P<0.05).There were no significant difference in the image quality and the daily average case number of single machine examination between the domestic CT equipment and the imported CT equipment(P>0.05).Conclusion:The medical institutions of city with high level of economic development have more quantitative and more high-end CT equipment,and the quality of image of domestic CT equipment is equal to that of imported CT equipment regardless of the high and low level of economic development.

Objective:To investigate the value of machine learning models based on CT radiomics for predicting the outcome of neoadjuvant chemotherapy (NAC) in patients with locally advanced gastric cancer (LAGC).Methods:A retrospective case series study was conducted. A total of 279 LAGC patients receiving NAC before surgery in Shanxi Province Cancer Hospital from January 2018 to November 2020 were included. According to a ratio of 7∶3, all patients were randomly divided into the training set (196 cases) and the validation set (83 cases). According to the tumor regression grade (TRG), the pathological grade was divided into the good response of NAC (GR) group (TRG 0-1, 55 cases) and the poor response of NAC (PR) group (TRG 2-3, 224 cases). The clinicopathological data of patients were collected, such as age, gender, differentiation degree, clinical T and N staging, carcinoembryonic antigen (CEA), and carbohydrate antigen 199 (CA199) level. Radiomics features were extracted from the enhanced CT images in the vein phase, and the features were screened by 3-step dimensionality reduction. And then 5 machine learning algorithms including logistic regression (LR), naive bayes (NB), random forest (RF), support vector machine (SVM) and extreme gradient boosting (XGB) were applied to build prediction models based on the CT radiomics. The receiver operating characteristic (ROC) curve and the decision analysis (DCA) curve were drawn to evaluate the predictive performance and clinical benefit of each model on the outcome of NAC in patients with LAGC.Results:Among 196 patients in the training set, there were 39 cases in GR group and 157 cases in PR group; among 83 patients in the validation set, there were 16 cases in GR group and 67 cases in PR group. There were no statistically significant differences in clinicopathological data of patients between the training and validation sets, or between GR and PR groups in the training and validation sets (all P > 0.05). A total of 102 radiomics features were extracted from region of interest of CT images in the vein phase, and 6 key features were finally selected including original_firstorder_10Percentile, original_firstorder_RoubustMeanAbsoluteDeviation, original_glcm_Idmn, original_glcm_MCC, original_ngtdm_Busyness, original_ngtdm_Contrast; and there were statistically significant differences in 6 features between the GR and PR groups (all P < 0.05). LR, NB, RF, SVM and XGB machine learning algorithms were used to construct 5 prediction models based on the CT radiomics. The area under ROC curve for NAC prediction in the training set was 0.553, 0.709, 0.668, 0.772 and 0.790, respectively; in the validation set was 0.662, 0.622, 0.683, 0.752 and 0.784, respectively. The model constructed by XGB showed the best comprehensive performance, and its accuracy, sensitivity and specificity was 0.771, 0.562 and 0.821, respectively. In the DCA of 5 machine learning models in the training set, XGB-based model provided a higher net benefit. Conclusions:Machine learning models based on enhanced CT radiomics in the vein phase have a high predictive efficacy in the outcome of NAC in LAGC patients before surgery and it helps make clinical personalized treatment decisions.

ObjectiveTo investigate the effectiveness and safety of Bushen Yugu Formula （补肾愈骨方） promoting postoperative functional rehabilitation of patients with chronic lateral ankle instability （CLAI） with syndrome of liver-kidney insufficiency and sinews-vessels deprived of nourishment. MethodsClinical data were retrospectively collected from 40 patients with CLAI with syndrome of liver-kidney insufficiency and sinews-vessels deprived of nou-rishment who underwent external ankle ligament repair surgery. They were divided into 20 cases each in the treatment group and control group according to whether or not they took Bushen Yugu Formula； patients in the control group underwent postoperative functional rehabilitation， while patients in the treatment group took Bushen Yugu Formula in the 3rd and 4th postoperative weeks combined with the rehabilitation. The American Orthopaedic Foot and Ankle Society （AOFAS） scores， the flexion/extension and internal/external rotation， the imaging scores of the ankle joint on the operated side and the traditional Chinese medicine （TCM） syndrome scores were recorded in the preoperative and 3-month postoperative， respectively. The patients' liver and kidney functions were tested in the preoperative and 4-month postoperative， and adverse events during treatment were recorded. ResultsCompared with the preoperative period， the AOFAS scores were higher and the TCM syndrome scores were lower in both groups 3 months after surgery （P＜0.01）， and the ankle internal and external rotation mobility and imaging scores were higher in the treatment group （P＜0.05 or P＜0.01）， and ankle flexion/extension mobility was lower in the control group （P＜0.05）. At 3 months after surgery， the AOFAS score was higher in the treatment group than in the control group， and the TCM syndrome score was lower than in the control group （P＜0.05 or P＜0.01）. Two cases of gastrointestinal reactions were reported in the treatment group， which relieved on their own after stopping the formula， and no abnormality was observed in liver and kidney function indexes. ConclusionBushen Yugu Formula can promote functional rehabilitation of ankle joint and improve clinical symptoms in CLAI patients with syndrome of liver-kidney insufficiency and sinews-vessels deprived of nourishment， and it shows a good safety.

Objective To investigate the mechanism of matrix metalloproteinase(MMP)-9 involved in epithelial mesenchymal transformation(EMT)in chronic sinusitis(CRS).Methods The expression of MMP-9 from polypoid middle turbinate tissue was detected by immunohistochemical staining qPCR and Western blot assay in 42 patients with CRS and 8 patients underwent septoplasty.Primary human nasal epithelial cells HNEpc were cultured in vitro and divided into the control group,the TGF-β1 group(5 μg/L TGF-β1 intervention)and the TGF-β1+si-MMP-9 group(transfected with si-MMP-9 and 5 μg/L TGF-β1 intervention).The expression of MMP-9 was detected by cell immunofluorescence staining.Expression levels of TGF-β1,MMP-9 and EMT-related proteins E-cadherin,vimentin and α-SMA were detected by Western blot assay.Results(1)The positive expression rate of MMP-9 was significantly higher in the nasal mucosa of CRS with nasal polyps(CRSwNP)group(54.5%,12/22)than that of the CRS without polyps(25.0%,5/20)group and the control group(12.8%,1/8).The relative expression levels of MMP-9 mRNA and protein in nasal mucosa were higher in the CRSwNP group than those in the CRSsNP group and the control group(P＜0.05).(2)Compared with the control group,the expressions levels of TGF-β1,MMP-9,vimentin and α-SMA were increased in the TGF-β1 group,while the expression of E-cadherin was decreased(P＜0.05).Compared with the TGF-β1 group,expression levels of TGF-β1,MMP-9,vimentin and α-SMA were decreased in the TGF-β1+si-MMP-9 group,and the expression of E-cadherin was increased(P＜0.05).Conclusion The expression of MMP-9 is increased in CRS patients,which may be involved in the development of CRS through the regulation of EMT.

Objective To explore the effects of transcutaneous electrical acupoint stimulation(TEAS)combined with multi-model analgesia on infrared thermal imaging characteristics and pain after total knee arthroplasty(TKA).Methods A total of 74 patients with TKA were divided into the treatment group and the control group according to random number table method,with 37 cases in each group.The control group was treated with multi-model analgesia,and the treatment group was treated with TEAS on the basis of multi-model analgesia for 30 min,once in the morning and afternoon before the patient's rehabilitation exercise 1-7 days after surgery.The infrared thermal imaging data,visual analogue scale(VAS)score,Western Ontario and McMaster Universities Osteoarthritis Index(WOMAC)score and pain threshold of the two groups were recorded and analyzed before and at different time points after operation.Results There were 2 cases dropped out in each group.Compared with before surgery,both groups had an increase in knee joint temperature on the surgical side 14 days after surgery(P<0.05),and the temperature in the treatment group was lower than that in the control group(P<0.05).The self knee temperature difference in the treatment group was lower than that in the control group 14 days after surgery(P<0.05).Compared with before surgery,the VAS score of the treatment group decreased 3 and 7 days after surgery(P<0.05),while the VAS score of the control group decreased 7 days after surgery(P<0.05);compared with the control group at 3 and 7 days after surgey,the VAS score of the treatment group was lower than that of the control group.Compared with before surgery,the WOMAC scores of both groups increased 7 days after surgery(P<0.05);after 7 days of surgery,the WOMAC score of the treatment group was lower than that of the control group(P<0.05).Compared with before surgery,the pain threshold values of both groups increased 7 days after surgery(P<0.05);compared with the control group at 3 and 7 days after surgery,the pain threshold values of the treatment group was higher than that of the control group(P<0.05).Conclusion TEAS combined with multi-model analgesia can reduce the temperature of the knee joint,relieve the pain of the operated limb,and promote the early functional recovery of the knee joint after TKA.Infrared thermal imaging technology has a certain application value in indirectly assessing the degree of postoperative pain and detecting early infection of the affected limb.

Objective To explore the treatment effects and mechanism of Fangji Huangqi Xiaozhong Prescription in metabolic syndrome phenotype osteoarthritis(MS-OA)based on PPARγ/NF-κB signaling pathway.Methods SD rats were randomly divided into sham-operation group,OA group,MS-OA group,Western medicine group,and TCM high-and low-dasage groups.The modified Hulth method was used to make the OA model,and OA model was added with high-carbohydrate high-fat diet to make the MS-OA model.TCM high-and low-dosage groups were given 15.12,7.56 g/kg Fangji Huangqi Xiaozhong Prescription for gavage.The Western medicine group was given 16.2 mg/kg of losoprofen sodium by gavage,while the other groups were given physiological saline by gavage once a day for 6 consecutive weeks.Rat body mass was measured,biochemical detection of blood lipids and blood glucose was conducted,ELISA was used to detect the contents of serum TNF-α,IL-1β,IL-10 and leptin,morphological changes in cartilage tissue were observed using safranin O-fixed green and HE staining,immunohistochemical staining was used to detect expressions of Acan,ColⅩ,MMP13,TNF-α,IL-1β and PPARγ in cartilage tissue,Western blot was used to detected the expression of PPARγ,NF-κBp65 and p-NF-κBp65 protein in cartilage tissue.Results Compared with the sham-operation group,body mass and serum TC,TG,LDL-C,TNF-α,IL-1β and leptin of MS-OA group increased significantly(P<0.01),the contents of HDL-C and IL-10 decreased(P<0.01),cartilage tissue degeneration was significant,and the Mankin score increased(P<0.01),the expression of ColⅩ,MMP13,TNF-α,IL-1β,p-NF-κBp65 protein increased(P<0.05,P<0.01),and the expression of Acan and PPARγ protein decreased(P<0.01).Compared with the MS-OA group,the contents of serum TC,TG,LDL-C,TNF-α and leptin decreased in TCM high-dosage group(P<0.05,P<0.01),the content of IL-10 increased(P<0.05),the pathological damage of cartilage tissue improved,the Mankin score decreased(P<0.01),the expressions of ColⅩ,MMP13,TNF-α,IL-1β and p-NF-κBp65 protein in cartilage tissue decreased(P<0.05,P<0.01),and the protein expressions of Acan and PPARγ protein increased(P<0.01,P<0.05).Conclusion Fangji Huangqi Xiaozhong Prescription can improve lipid metabolism disorder,improve intra-articular inflammatory environment,balance cartilage metabolism,and delay cartilage degeneration in MS-OA rats.Its mechanism may be related to the regulation of PPARγ/NF-κB signaling pathway.

OBJECTIVE: To present on a prenatally diagnosed case with complex structural rearrangements of chromosome 8. METHODS: Chromosome karyotyping, chromosomal microarray analysis (CMA) and fluorescence in situ hybridization (FISH) were carried out for a fetus with increased nuchal thickness. RESULTS: The karyotype of the amniotic fluid sample showed extra materials on 8p. FISH revealed a centromeric signal at the terminal of 8p with absence of telomeric signal. CMA revealed partial deletion of 8p23.3 [(208049_2256732)×1], partial duplication of 8p23.3p23.2 [(2259519_3016818)×3], and partial duplication of 8q [8q11.1q12.2(45951900_60989083)×3]. CONCLUSION The complex structural rearrangements of chromosome 8 in this case has differed from the commonly seen inv dup del(8p).
Female ; Pregnancy ; Humans ; Chromosomes, Human, Pair 8/genetics* ; In Situ Hybridization, Fluorescence ; Gene Rearrangement ; Prenatal Diagnosis ; Centromere