Objective To investigate the clinicopathological features,immunophenotype,diagnosis and treatment of SMARCA4(BRG1)-deficient carcinoma.Methods Clinical data of 11 patients with SMAR-CA4(BRG1)-deficient cancer were collected.The morphologic and immunohistochemical features of this tumour were summarized,and the relevant literature was reviewed.Results Among the 11 cases of SMARCA4(BRG1)-deficient carcinoma,eight were male and three were female,with median age of 60.Seven patients underwent radical resection,and four underwent traditional joint targeted chemotherapy and immunotherapy.Microscopically,the tumor cells were epithelioid,rhabdoid or spindle-shaped,with prominent eosinophilic nucleoli and frequent mitoses(>5/10 HPF).Multiple foci of necrosis were found in the tumor tissue,a large number of tumor emboli in the blood vessels and myxoid stromal degeneration.Among these cases,11 cases showed loss of SMARCA4(BRG1)expression,whereas the CK and Vim markers were expressed,SMARCB1(INI1)expression was retained,and p53 mutation was detected.The tumor cells showed high proliferation activity(Ki-67>60%),and synaptophsin was moderately positive.Three cases were mismatch repair deficient and respectively showed the loss of MLH1/PMS2,PMS2 and MSH6 expression.Conclusion The incidence of SMARCA4(BRG1)-dificient carcinoma is low.It can be easily confused with other tumors and is difficult to be diagnosed before operation,which requires confirmation by immunohistochemistry.

Objective To compare the effects of SARIMA,LSTM and EDM in predicting the incidence of HFRS in Weifang under different circumstances,and explore the best prediction model.Methods The monthly incidence of HFRS in Weifang from January 2011 to December 2017 was selected to construct the SARIMA model,univariate LSTM model,univariate EDM model,and SARIMAX model,multivariate LSTM model,and multivariate EDM model including meteorological factors.The monthly incidence from January 2018 to December 2018 was predicted,and the prediction effects of each model were compared.Results The MAPE of SARIMA model,univariate LSTM model,multivariate LSTM model,univariate EDM model,multivariate EDM model were 42.17%,48.40%,16.19%,55.00%,51.79%,respectively.Conclusion The multivariate LSTM model including meteorological factors had a good prediction effect on the incidence of HFRS in Weifang,and the prediction results could provide reference for the prevention and control of HFRS.

Chronic cerebral hypoperfusion leads to white matter injury (WMI), which subsequently causes neurodegeneration and even cognitive impairment. However, due to the lack of treatment specifically for WMI, novel recognized and effective therapeutic strategies are urgently needed. In this study, we found that honokiol and magnolol, two compounds derived from Magnolia officinalis, significantly facilitated the differentiation of primary oligodendrocyte precursor cells (OPCs) into mature oligodendrocytes, with a more prominent effect of the former compound. Moreover, our results demonstrated that honokiol treatment improved myelin injury, induced mature oligodendrocyte protein expression, attenuated cognitive decline, promoted oligodendrocyte regeneration, and inhibited astrocytic activation in the bilateral carotid artery stenosis model. Mechanistically, honokiol increased the phosphorylation of serine/threonine kinase (Akt) and mammalian target of rapamycin (mTOR) by activating cannabinoid receptor 1 during OPC differentiation. Collectively, our study indicates that honokiol might serve as a potential treatment for WMI in chronic cerebral ischemia.
Magnolia ; White Matter ; Brain Ischemia/metabolism* ; Oligodendroglia/metabolism*

Objective:To explore the diagnostic value of contrast-enhanced mammography (CEM) and MRI in differentiating benign and malignant breast lesions based on the 2013 breast imaging reporting and data system (BI-RADS) lexicon and the supplement on CEM.Methods:The clinical and imaging data of 83 patients with breast lesions from March 2019 to April 2022 in the Third Affiliated Hospital of Soochow University were retrospectively analyzed. Totally 100 breast lesions from 83 female patients aged 28 to 78 (49±14) years, were divided into benign lesions (50 lesions) and malignant lesions (50 lesions) according to the pathological results. The t-test, χ 2 test and Fisher′s exact test were used to compare the differences of clinical and imaging features between benign and malignant lesions, and these imaging features which had statistical differences were established CEM and MRI models by multivariate logistic regression analysis respectively. The receiver operating characteristic curves and the area under the curve (AUC) were used to assess the diagnostic efficacy of two models in differentiating benign and malignant breast lesions. Using the DeLong test compared the AUC. Results:Multivariate logistic regression analysis showed that associated features (OR=9.075,95%CI 1.430-57.570, P=0.019), lesion conspicuity (OR=6.180,95%CI 2.608-14.646, P<0.001), mass margin (OR=2.193,95%CI 1.405-3.422, P=0.001) and calcification distribution (OR=2.147,95%CI 1.157-3.986, P=0.015) were independent predictors of differentiating benign and malignant breast lesions in CEM, and then the predictive model of CEM was constructed. Time-signal intensity curve (OR=9.230, 95%CI 3.178-26.805, P<0.001), associated features (OR=5.289,95%CI 1.343-20.831, P=0.017) and mass margin (OR=2.192,95%CI 1.336-3.597, P=0.002) were independent predictors of differentiating benign and malignant breast lesions in MRI, and the predictive model of MRI was constructed. The AUC of CEM and MRI models for differentiating benign and malignant breast lesions were 0.947 and 0.930 respectively, and two models were no significant difference ( Z=0.68, P=0.494). Conclusion:The diagnostic efficacy of CEM and MRI in differentiating benign and malignant breast lesions is comparable based on the 2013 BI-RADS lexicon and the supplement on CEM.

H 1-antihistamines are widely used in the treatment of various allergic diseases, but there are still many challenges in the safe and rational use of H 1-antihistamines in pediatrics, and there is a lack of guidance on the prescription review of H 1-antihistamines for children.In this paper, suggestions are put forward from the indications, dosage, route of administration, pathophysiological characteristics of children with individual difference and drug interactions, so as to provide reference for clinicians and pharmacists.

Anti-seizure medications (ASMs) are the main therapy for epilepsy.There are many kinds of ASMs with complex mechanism of action, so it is difficult for pharmacists to examine prescriptions.This paper put forward some suggestions on the indications, dosage forms/routes of administration, appropriateness of usage and dosage, combined medication and drug interaction, long-term prescription review, individual differences in pathophysiology of children, and drug selection when complicated with common epilepsy, for the reference of doctors and pharmacists.

Objective:To explore the characteristics of weekly gestational weight gain (GWG) in women with obesity and its correlation with the risk of macrosomia.Methods:Clinical data of women with singleton pregnancy and pre-pregnancy body mass index (PPBMI) ≥28 kg/m 2 were retrospectively analyzed, from January 2014 to December 2019, in Beijing Obstetrics and Gynecology Hospital, Capital Medical University (Beijing Maternal and Child Health Care Hospital). The participants were divided into three groups based on their PPBMI: group A (28-<30 kg/m 2), group B (30-<32 kg/m 2), and group C (≥32 kg/m 2). The study compared the characteristics of GWG among the three groups, explored the correlation between the weekly weight gain during each gestational stage and the risk of macrosomia, and discussed the impacts of the GWG pattern in women with different PPBMI on the risk of macrosomia. Chi-square (or Fisher's exact), Kruskal-Wallis, and Mann-Whitney U tests were performed for statistical analysis. Multivariate logistic regression was used to analyze the impact of weekly weight gain in specific gestational stages on macrosomia. Results:(1) A total of 2 046 participants were included in the study, with 982 in group A, 588 in group B, and 476 in group C. For all of the 2 046 cases, the median PPBMI was 30.1 kg/m 2 (29.0-31.9 kg/m 2), GWG was 10.5 kg (7.3-14.0 kg), and neonatal birth weight was 3 520 g (3 215-3 816 g) with 60 (2.9%) ≥4 500 g, and the biggest baby weighed 5 580 g. Out of the births analyzed, macrosomia occurred in 318 cases (15.5%). (2) Among the three groups (A, B and C), the differences in maternal age [32.0 years (29.0-35.0 years), 32.0 years (29.0-35.0 years) and 32.0 years (29.0-34.0 years), H=6.58] and women with a history of type 2 diabetes mellitus [0.9% (9/982), 0.3% (2/588) and 1.9% (9/476), χ2=6.61] were statistically significant (all P<0.05). (3) The weekly weight gain in each group exhibited a gradual upward trend before 20-24 weeks, reached a plateau at 24-32 weeks, peaked at 32-36 weeks, and subsequently declined. The weekly weight gain of group A in the pre-pregnancy to 14 weeks [0.14 kg/week (0.00-0.25 kg/week)], 14 to 20 weeks [0.25 kg/week (0.17-0.42 kg/week)], and 20 to 24 weeks [0.38 kg/week (0.25-0.63 kg/week)] were higher than those of group B [0.07 kg/week (－0.03-0.21 kg/week), 0.25 kg/week (0.10-0.42 kg/week), and 0.38 kg/week (0.22-0.60 kg/week)], respectively ( Z value was－3.73,－2.16, and－2.01, all P<0.05). Likewise, the weekly weight gain of group B in the above three stages were all higher than those of group C [0.07 kg/week (－0.10-0.21 kg/week), 0.17 kg/week (0.05-0.33 kg/week), and 0.25 kg/week (0.08-0.50 kg/week)], respectively ( Z value was－2.55,－3.28, and－3.25, all P<0.05). (4) The risk of macrosomia increased with the weekly weight gain in specific gestational stages in different PPBMI groups. In group A, the stages correlated with increased risk were 14-20 weeks [adjusted odd ratio ( aOR)=2.669, 95% CI: 1.378-5.169] and 20-24 weeks ( aOR=1.764, 95% CI: 1.143-2.723), while the stages were 20-24 weeks ( aOR=2.149, 95% CI: 1.156-3.996) and 36 weeks until delivery ( aOR=1.888, 95% CI: 1.268-2.810) in group B, and pre-pregnancy to 14 weeks ( aOR=3.515, 95% CI: 1.158-10.665) and 14-20 weeks ( aOR=3.021, 95% CI: 1.058-8.628) in group C (all P<0.05). The risk of macrosomia increased when the weekly weight gain of both risk-related stages in group A ( aOR=2.255, 95% CI: 1.029-4.940) ≥50th percentile, and group B ( aOR=4.399, 95% CI: 1.017-19.023) ≥75th percentile, and for group C ( aOR=3.404, 95% CI: 1.004-11.543) when the weekly weight gain above 25th percentile (all P<0.05). Conclusions:Weekly GWG demonstrates an observable gradual acceleration pattern in women with obesity. Therefore, clinical attention should be directed towards monitoring fluctuations in the weekly weight gain in this population, as excessive weekly weight gain before 24 gestational weeks is associated with an elevated risk of macrosomia.

Objective:To understand the genome analysis and molecular typing of foodborne Yersinia enterocolitica ( Y.e) strains in Liaocheng City of Shandong Province from 2020 to 2021. Methods:The Y.e strains were isolated from raw meat and meat products. Then we made the strain identification, drug sensitivity test, virulence gene test, pulsed-field gel electrophoresis (PFGE), and whole genome sequencing (WGS). The genome sequencing data were assembled with the microbial genome annotation package. We performed the multilocus sequence typing (MLST) and core genome multilocus sequence typing (cgMLST) and used WGS-based single nucleotide polymorphism typing (wg-SNPs) method to carry out genetic evolution analysis with 14 domestic and Y.e genomes obtained from the NCBI. Results:A total of 21 strains of Y.e were detected from 165 samples, with a detection rate of 12.73%. The 20 strains of Y.e were sequenced successfully. The 20 strains of Y.e carries a variety of drug resistance genes and virulence genes, showing multiple drug resistance. The virulence gene PCR test showed that 21 strains of Y.e having two virulence genes. Cluster analysis of PFGE, MLST, and cgMLST showed that the genomics of 21 strains was highly diverse. The genetic evolution analysis of wg-SNPs showed that 20 Y.e strains could be divided into two main evolutionary branches. Conclusions:Y.e strains isolated from raw meat in Liaocheng City carry a variety of drug resistance genes and virulence genes, and the molecular typing is highly diverse, which may cause infection risk. The molecular biological monitoring of Y.e in raw meat should be strengthened, and genome sequencing and molecular typing detection be carried out to provide the theoretical basis for foodborne illness caused by Y.e.

Objective:To investigate the value of multimodal MRI radiomics in the preoperative prediction of Fuhrman nuclear grade of clear cell renal cell carcinoma (ccRCC).Methods:A total of 129 patients with ccRCC confirmed by pathology from April 2011 to April 2021 in Third Affiliated Hospital of Soochow University were collected, and the imaging and clinicopathological data were retrospectively analyzed. All patients were divided into training set ( n=90) and validation set ( n=39) at the ratio of 7∶3 using random indicator method. According to the postoperative pathological results, Fuhrman grades Ⅰ and Ⅱ were included in the low grade group (96 cases, 65 cases in the training set and 31 cases in the validation set), and Fuhrman grades Ⅲ and Ⅳ were included in the high grade group (33 cases, 25 cases in the training set and 8 cases in the validation set). Two radiologists manually delineated regions of interest (ROI) on T 1WI, T 2WI, Dixon-water, Dixon-fat, susceptibility weighted imaging (SWI), blood oxygen level dependent (BOLD) images, and 396 texture features were extracted from each ROI. In the training set, intra-class correlation coefficient, Mann-Whitney U test, minimum redundancy maximum relevance and least absolute shrinkage and selection operator method were used to reduce the dimension of features to obtain the best texture features. The logistic regression was used to develop the multimodal radiomics model, and the receiver operating characteristic (ROC) curve was used to evaluate the effectiveness of the model in identifying high and low-grade ccRCC in training set and validation set. Results:Four SWI, one T 2WI and one BOLD texture features were selected for modeling. The areas under the ROC curve (95%CI) of the multimodal radiomics model for identifying high and low grade ccRCC in the training and validation sets were 0.859 (0.770-0.923) and 0.883 (0.740-0.964), with the specificity at 95.4% and 87.1%, the sensitivity at 68.0% and 87.5%, the accuracy at 87.8% and 87.2%, respectively. Conclusion:The multimodal MRI radiomics model based on T 2WI, SWI and BOLD images has high effectiveness in preoperative predicting Fuhrman nuclear grade of ccRCC.

Objective:To evaluate the reliability and validity of Short-form health survey-36 (SF-36) during the first trimester of pregnancy.Methods:From January 2020 to January 2021, pregnant women aged 18―40 during the first trimester visit were admitted to the Obstetric Department of Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Split-half reliability and Cronbach′s α coefficients were used to evaluate the reliability. The convergent and discriminative validity were evaluated by using AMOS 24.0 and the criterion-rated validity was evaluated with correlation analysis and non-parameter test. Exploratory factor analysis and confirmatory factor analysis based on structural equation modeling were used in the evaluation of contract validity.Results:SF-36 scale had good reliability (split-half reliability: R=0.901, Cronbach′s α coefficients=0.878), convergent validity, discriminate validity and the criterion-rated validity ( r=0.907). Second-order confirmatory factor analysis model was not well-fitted ( RMSEA=0.070, χ 2/dF=3.566, GFI=0.813, CFI=0.814, TLI=0.792, NFI=0.761), indicating that the construct validity was poor. Conclusions:The reliability, consolidation validity, discrimination validity and criterion-related validity of Sf-36 scale are good, while the construct validity is poor. Improvement is needed when the scale is used for pregnant women.