Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

With the completion of the "Human Genome Project" and the smooth progress of the "Herbal Genome Project", the research wave of RNAomics is gradually advancing, opening the research gateway for the modernization of traditional Chinese medicine (TCM) and initiating the post-genome era of medicinal plant RNA research. Therefore, this article proposes for the first time the concept of HerbRNomes, which involves constructing databases of medicinal plant, medicinal fungus, and medicinal animal RNA at different stages, from different origins, and in different organs. This research aims to explore the role of HerbRNA in self-genetic information transmission, functional regulation, as well as cross-species regulation functional mechanisms and key technologies. It also investigates application scenarios, providing a theoretical basis and research ideas for the resistance of TCM or medicinal plants to adversity and stress, molecular assistant breeding, and the development of small nucleic acid drugs. This article reviews recent research progress in elucidating the molecular mechanisms of the transmission and expression of genetic information, self-regulation and cross-species regulation of herbs at the RNA level, along with key technologies. It proposes a development strategy for small nucleic acid drugs based on HerbRNomes, providing theoretical support and guidance for the modernization of TCM based on HerbRNomes research.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Objective To observe the value of intratumoral and peritumoral radiomics based on diffusion weighted imaging(DWI)for predicting histological grade of breast cancer.Methods Preoperative DWI data of 700 patients with single breast cancer diagnosed by pathology were retrospectively analyzed.The patients were divided into training set(n= 560,including 381 of grade Ⅰ+Ⅱ and 179 of grade Ⅲ)and test set(n=140,including 95 of grade Ⅰ+Ⅱ and 45 of grade Ⅲ)at the ratio of 8∶2.Intratumoral ROI(ROIintra)was manually delineated on DWI,which was automatically expanded by 3 mm and 5 mm to decline peritumoral ROI(ROIperi,including ROI3 mm and ROI5 mm),then intratumoral-peritumoral ROI(ROIintra+3 mm,ROIintra+5 mm)were obtained.The optimal radiomics features were extracted and screened,and the radiomics model(RM)for predicting the histological grade of breast cancer were constructed.Receiver operating characteristic curves were drawn,and the areas under the curve(AUC)were calculated to evaluate the predictive efficacy of each model.Calibration curve method was used to evaluate the calibration degree,while decision curve analysis(DCA)was performed to explore the clinical practicability of each model.Results AUC of RMintra,RM+3 mm,RM+5mm,RMintra+3 mm and RMintra+5 mm was 0.750,0.724,0.749,0.833 and 0.807 in training set,while was 0.723,0.718,0.736,0.759 and 0.782 in test set,respectively.In training set,significant differences of AUC was found(all P＜0.01),while in test set,no significant difference of AUC was found among models(all P＞0.05).The calibrations of models were all high.DCA showed that taken 0.02-0.88 as the threshold,the clinical net benefit of RMintra+per were greater in training set,while taken 0.40-0.72 as the threshold,the clinical net benefit of RMintra+per was greater in test set.Conclusion Both DWI intratumoral and peritumoral radiomics could effectively predict histological grade of breast cancer.Combination of intratumoral and peritumoral radiomics was more effective.

Objective To explore the risk factors for bile leakage after laparoscopic common bile duct exploration(LCBDE)with primary closure.Methods The clinical data of 560 patients with choledocholithiasis who underwent LCBDE with primary closure in Tianjin Hospital of Integrated Traditional Chinese and Western Medicine from September 2021 to September 2023 were retrospectively analyzed,and the patients were divided into the bile leak group and the non-bile leak group according to the occurrence of postoperative bile leakage.The risk factors affecting the occurrence of postoperative bile leakage were analyzed by multivariate analysis.Results A total of 64 cases(11.4% )experienced varying degrees of bile leakage,including 55 cases of grade A bile leakage,7 cases of grade B,and 2 cases of grade C.The thin common bile duct(OR=0.07,P<0.001),history of hypertension(OR=4.56,P<0.001),and high BMI(OR=1.17,P=0.002)were the risk factors for postoperative bile leakage in patients with choledocholithiasis.Conclusion Patients with thin common bile duct,hypertension and obesity are more likely to occur postoperative bile leakage.Patients with choledocholithiasis who have the above high-risk factors should be cautious in choosing LCBDE with primary closure.

Shiwei-Ruxiang-capsule (SWRXC) is a classic formulation widely used in the treatment of rheumatoid arthritis (RA). The study used liquid chromatography-tandem mass spectrometry (LC-MS/MS) serum untargeted metabolomics and high-throughput 16S rRNA gene sequencing association analysis to elucidate the mechanism of action of SWRXC for the treatment of Freund's complete adjuvant-induced RA. The results showed that SWRXC significantly improved symptoms and reduced serum cytokine levels in RA rats. Based on LC-MS/MS technology, metabolomics identified tryptophan metabolism, nucleotide metabolism and purine metabolism as the most relevant pathways for treatment. In addition, 16S rRNA sequencing results showed that SWRXC could ameliorate RA-induced intestinal microbial oncogenesis in rats. In conclusion, SWRXC can improve the morphology and structure of RA joint tissues, reduce serum factor levels, and may play a role in improving RA by modulating related metabolic pathways such as tryptophan metabolism, nucleotide metabolism and purine metabolism, and altering the composition of intestinal flora. Animal protocols were approved by the Animal Ethics Committee of Qinghai Normal University (No. 2021041203).

Objective To investigate the dietary intake of preschool children in Northwest China, and provide scientific basis for studying the dietary patterns and characteristics of preschool children and formulating targeted dietary interventions. Methods Using the self-designed ^“Semi-quantitative Food Frequency Questionnaire for Preschool Children in Northwest China^“, a convenient sampling method was used to investigate the dietary intake of children aged 3 to 7 years in Northwest China. The factor analysis combined with the cluster method was used to extract the dietary pattern. Results Through factor analysis of the average daily food intake of preschool children, the results show that the KMO test value was 0.82, Bartlett’s test value was 4 528.97, and the associated probability was <0.001, so factor analysis can be performed. In order to obtain more typical factor components so that the results were easier to explain, under the guidance of nutrition experts, the first 4 common factors were finally retained for analysis, and the cumulative variance contribution rate was 62.17%. On this basis, the number of clusters was 4, and the K-means cluster analysis method was used to cluster the factor scores of various foods for preschool children. According to the proportions of various foods and the characteristics of the foods, The dietary patterns of preschool children can be divided into staple food-based dietary patterns, high-protein dietary patterns, healthy dietary patterns, and high-sugar dietary patterns. Conclusion Using factor analysis method, the scores of each food factor of preschool children were continuous variables, and the results were highly repeatable, and subsequent analysis can be carried out. The factor analysis combined with cluster analysis method extracting the dietary pattern of preschool children that had certain degree of science. According to the characteristics of the four dietary patterns extracted in this study, children's dietary interventions can be targeted to promote children's physical and mental health.

We prepared 15 batches of Kaixin Powder benchmark samples with the decoction pieces of different batches. Further, we established the specific chromatograms and index component content determination method of Kaixin Powder benchmark samples and analyzed the peaks and similarity of the chromatograms. With sibiricose A5, sibiricose A6, polygalaxanthone Ⅲ, 3,6'-disinapoyl sucrose, ginsenoside Rb_1, β-asarone, α-asarone, and dehydropachymic acid as index components, the index component content determination method was established and 70%-130% of the mean content of each component was set as the range. The chromatograms of 15 batches of Kaixin Powder benchmark samples had a total of 22 characteristic peaks, among which 8 peaks were identified, which represented sibiricose A5, sibiricose A6, polygalaxanthone Ⅲ, 3,6'-disinapoyl sucrose, ginsenoside Rb_1, β-asarone, α-asarone, and dehydropachymic acid, respectively. The chromatograms shared the similarity of 0.992-0.999. The 15 batches of benchmark samples had sibiricose A5 of 0.34-0.55 mg·g~(-1), sibiricose A6 of 0.43-0.57 mg·g~(-1), polygalaxanthone Ⅲ of 0.12-0.19 mg·g~(-1), 3,6'-disinapoyl sucrose of 1.08-1.78 mg·g~(-1), ginsenoside Rb_1 of 0.33-0.62 mg·g~(-1), β-asarone of 2.34-3.72 mg·g~(-1), α-asarone of 0.11-0.22 mg·g~(-1), and dehydropachymic acid of 0.053-0.079 mg·g~(-1). This study established the specific chromatograms and index component content determination method of Kaixin Powder benchmark samples, and the method was simple, feasible, reproducible, and stable. This study provides a scientific basis for further research on the key chemical properties of the benchmark samples and preparations of Kaixin Powder.
Powders ; Ginsenosides ; Benchmarking ; Drugs, Chinese Herbal/chemistry* ; Sucrose ; Chromatography, High Pressure Liquid/methods*

Breast cancer has become the most prevalent malignant tumor among women, putting the health of women at serious risk. Screening for lead compounds in the active ingredients of plant that are effective and less toxic continues to be an important strategy for treating breast cancer. Gerbeloid J, a coumarin isolated from Gerbera piloselloides (L.) Cass., showed significant anti-cancer activity. But there is no report on the effect and mechanism of gerbeloid J on cycle and apoptosis of breast cancer. By using the CCK-8, clone formation, and PI staining assays, the effects of gerbeloid J on the proliferation of MCF-7 and MDA-MB-231 cells were assessed in this study. The effects of gerbeloid J on the apoptosis and mitochondrial function of MCF-7 and MDA-MB-231 cells were assessed using DAPI, Annexin V/TO-PRO-3, Rhod-2 AM, TMRM, DCFDA staining assays, and Western blot. The results demonstrated that gerbeloid J regulated the P21/CDC25C/CDK-1/cyclin B1 pathway and arrested the cell cycle at G2/M phase to suppressed the proliferation of MCF-7 and MDA-MB-231 cells. Additionally, gerbeloid J induced apoptosis through the stimulation of mitochondrial calcium excess, reduction of mitochondrial membrane potential, and promotion of ROS generation, and its mechanism was related to the activation of mitochondrial apoptotic pathway. In conclusion, by regulating the P21/CDC25C/CDK-1/cyclin B1 pathway and activating the mitochondrial apoptosis pathway, gerbeloid J could cause breast cancer cell cycle arrest and apoptosis, which might offer a promising candidate for the creation of new drugs against breast cancer.