1.Predictive Modeling of Symptomatic Intracranial Hemorrhage Following Endovascular Thrombectomy: Insights From the Nationwide TREAT-AIS Registry
Jia-Hung CHEN ; I-Chang SU ; Yueh-Hsun LU ; Yi-Chen HSIEH ; Chih-Hao CHEN ; Chun-Jen LIN ; Yu-Wei CHEN ; Kuan-Hung LIN ; Pi-Shan SUNG ; Chih-Wei TANG ; Hai-Jui CHU ; Chuan-Hsiu FU ; Chao-Liang CHOU ; Cheng-Yu WEI ; Shang-Yih YAN ; Po-Lin CHEN ; Hsu-Ling YEH ; Sheng-Feng SUNG ; Hon-Man LIU ; Ching-Huang LIN ; Meng LEE ; Sung-Chun TANG ; I-Hui LEE ; Lung CHAN ; Li-Ming LIEN ; Hung-Yi CHIOU ; Jiunn-Tay LEE ; Jiann-Shing JENG ;
Journal of Stroke 2025;27(1):85-94
		                        		
		                        			 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. 
		                        		
		                        		
		                        		
		                        	
2.Predictive Modeling of Symptomatic Intracranial Hemorrhage Following Endovascular Thrombectomy: Insights From the Nationwide TREAT-AIS Registry
Jia-Hung CHEN ; I-Chang SU ; Yueh-Hsun LU ; Yi-Chen HSIEH ; Chih-Hao CHEN ; Chun-Jen LIN ; Yu-Wei CHEN ; Kuan-Hung LIN ; Pi-Shan SUNG ; Chih-Wei TANG ; Hai-Jui CHU ; Chuan-Hsiu FU ; Chao-Liang CHOU ; Cheng-Yu WEI ; Shang-Yih YAN ; Po-Lin CHEN ; Hsu-Ling YEH ; Sheng-Feng SUNG ; Hon-Man LIU ; Ching-Huang LIN ; Meng LEE ; Sung-Chun TANG ; I-Hui LEE ; Lung CHAN ; Li-Ming LIEN ; Hung-Yi CHIOU ; Jiunn-Tay LEE ; Jiann-Shing JENG ;
Journal of Stroke 2025;27(1):85-94
		                        		
		                        			 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. 
		                        		
		                        		
		                        		
		                        	
3.Predictive Modeling of Symptomatic Intracranial Hemorrhage Following Endovascular Thrombectomy: Insights From the Nationwide TREAT-AIS Registry
Jia-Hung CHEN ; I-Chang SU ; Yueh-Hsun LU ; Yi-Chen HSIEH ; Chih-Hao CHEN ; Chun-Jen LIN ; Yu-Wei CHEN ; Kuan-Hung LIN ; Pi-Shan SUNG ; Chih-Wei TANG ; Hai-Jui CHU ; Chuan-Hsiu FU ; Chao-Liang CHOU ; Cheng-Yu WEI ; Shang-Yih YAN ; Po-Lin CHEN ; Hsu-Ling YEH ; Sheng-Feng SUNG ; Hon-Man LIU ; Ching-Huang LIN ; Meng LEE ; Sung-Chun TANG ; I-Hui LEE ; Lung CHAN ; Li-Ming LIEN ; Hung-Yi CHIOU ; Jiunn-Tay LEE ; Jiann-Shing JENG ;
Journal of Stroke 2025;27(1):85-94
		                        		
		                        			 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. 
		                        		
		                        		
		                        		
		                        	
4.Monotropein Induced Apoptosis and Suppressed Cell Cycle Progression in Colorectal Cancer Cells.
Quan GAO ; Lin LI ; Qi-Man ZHANG ; Qin-Song SHENG ; Ji-Liang ZHANG ; Li-Jun JIN ; Rui-Yan SHANG
Chinese journal of integrative medicine 2024;30(1):25-33
		                        		
		                        			OBJECTIVE:
		                        			To determine whether monotropein has an anticancer effect and explore its potential mechanisms against colorectal cancer (CRC) through network pharmacology and molecular docking combined with experimental verification.
		                        		
		                        			METHODS:
		                        			Network pharmacology and molecular docking were used to predict potential targets of monotropein against CRC. Cell counting kit assay, plate monoclonal assay and microscopic observation were used to investigate the antiproliferative effects of monotropein on CRC cells HCT116, HT29 and LoVo. Flow cytometry and scratch assay were used to analyze apoptosis and cell cycle, as well as cell migration, respectively in HCT116, HT29, and LoVo cells. Western blotting was used to detect the expression of proteins related to apoptosis, cell cycle, and cell migration, and the expression of proteins key to the Akt pathway.
		                        		
		                        			RESULTS:
		                        			The Gene Ontology and Reactome enrichment analyses indicated that the anticancer potential of monotropein against CRC might be involved in multiple cancer-related signaling pathways. Among these pathways, RAC-beta serine/threonine-protein kinase (Akt1, Akt2), cyclin-dependent kinase 6 (CDK6), matrix metalloproteinase-9 (MMP9), epidermal growth factor receptor (EGFR), cell division control protein 42 homolog (CDC42) were shown as the potential anticancer targets of monotropein against CRC. Molecular docking suggested that monotropein may interact with the 6 targets (Akt1, Akt2, CDK6, MMP9, EGFR, CDC42). Subsequently, cell activity of HCT116, HT29 and LoVo cell lines were significantly suppressed by monotropein (P<0.05). Furthermore, our research revealed that monotropein induced cell apoptosis by inhibiting Bcl-2 and increasing Bax, induced G1-S cycle arrest in colorectal cancer by decreasing the expressions of CyclinD1, CDK4 and CDK6, inhibited cell migration by suppressing the expressions of CDC42 and MMP9 (P<0.05), and might play an anticancer role through Akt signaling pathway.
		                        		
		                        			CONCLUSION
		                        			Monotropein exerts its antitumor effects primarily by arresting the cell cycle, causing cell apoptosis, and inhibiting cell migration. This indicates a high potential for developing novel medication for treating CRC.
		                        		
		                        		
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Proto-Oncogene Proteins c-akt/metabolism*
		                        			;
		                        		
		                        			Cell Proliferation
		                        			;
		                        		
		                        			Matrix Metalloproteinase 9
		                        			;
		                        		
		                        			Molecular Docking Simulation
		                        			;
		                        		
		                        			Cell Cycle
		                        			;
		                        		
		                        			ErbB Receptors
		                        			;
		                        		
		                        			Apoptosis
		                        			;
		                        		
		                        			Colorectal Neoplasms/pathology*
		                        			;
		                        		
		                        			Cell Line, Tumor
		                        			
		                        		
		                        	
		                				5.Two new dalbergiphenols from Zhuang medicine Dalbergia rimosa  Roxb
		                			
		                			Cheng-sheng LU ; Wei-yu WANG ; Min ZHU ; Si-si QIN ; Zhao-hui LI ; Chen-yan LIANG ; Xu FENG ; Jian-hua WEI
Acta Pharmaceutica Sinica 2024;59(2):418-423
		                        		
		                        			
		                        			 Twelve compounds were isolated from the ethyl acetate fraction of the 80% aqueous ethanol extract of the roots and stems of 
		                        		
		                        	
6.Paeoniflorin Induces Apoptosis in NSCLC Cells via Activating Hippo Signaling Pathway
Yan LI ; Liang PENG ; Lifeng JIANG ; Sheng WANG ; Ge WANG ; Xiaolin YU ; Yulin YAO
Chinese Journal of Experimental Traditional Medical Formulae 2024;30(12):39-44
		                        		
		                        			
		                        			ObjectiveTo observe the apoptosis induced by paeoniflorin (PF) in non-small cell lung cancer (NSCLC) cells and explore its mechanism. MethodCell counting kit-8 (CCK-8) was used to detect the inhibition rates of H1299, H292 and A549 cells with different concentrations of PF (2.5, 5, 10, 20, 25 µmol·L-1), and to screen suitable concentrations of PF and experimental cells. The inhibitory effect of PF on lung cancer cells was detected by clone formation assay. The effect of PF on cell apoptosis was detected by flow cytometry with annexin V-FITC/propidium iodide (PI) double staining. With the right concentration of drugs, levels of apoptosis-associated protein B-cell lymphoma-2 (Bcl-2), Bcl-2-associated X protein (Bax), cleaved Caspase-3 and Caspase-3 were detected by Western blot. At the same time, the molecular expressions of hypoxia inducible factor -1α (HIF-1α) and Hippo signaling pathway were determined. ResultCompared with the blank group, PF significantly inhibited the growth of H1299, H292 and A549 cells of human lung cancer (P<0.01). PF significantly induced apoptosis in A549 cells (P<0.01), decreased the Bcl-2/Bax ratio (P<0.01), and significantly increased the cleaved Caspase-3 expression (P<0.01). Compared with those in the blank group, the expression levels of HIF-1α, transcriptional coactivator with PDZ-binding motif (TAZ), large tumor suppressor 1 (LATS1), Mps one binding 1 (MOB1) and Yes-associated protein (YAP) in A549 cells of the PF treatment group were significantly decreased (P<0.01), while the expressions of p-LATS1, p-MOB1 and p-YAP were significantly increased (P<0.01). At the same time, there was no significant effect on the expression levels of phosphorylated mammalian Ste20-like kinase 1 (p-MST1) and MST1, which did not reach a statistical difference. ConclusionAll data demonstrated that PF showed an anti-tumor effect by improving hypoxic conditions and inhibiting the abnormally activated Hippo signaling pathway, thereby inducing and promoting apoptosis in non-small cell lung cancer. 
		                        		
		                        		
		                        		
		                        	
7.A preliminary exploration of reduced port laparoscopic proximal gastrectomy with right-sided overlap and single-flap valvuloplasty (ROSF)
Wei PENG ; Qiankun SHAO ; Xinyu LIANG ; Shangcheng YAN ; Qiang CHEN ; Rui REN ; Mengchao SHENG ; Wenting XU ; Yuan TIAN ; Yongyou WU
Chinese Journal of Gastrointestinal Surgery 2024;27(10):1069-1074
		                        		
		                        			
		                        			Objective:This study aimed to share preliminary experiences of single-incision plus two ports laparoscopic proximal gastrectomy with right-sided overlap and single-flap valvuloplasty (ROSF).Methods:Following the 6th edition of the Japanese Gastric Cancer Treatment Guidelines, proximal gastrectomy with lymphadenectomy was performed. Using a single-port approach, the esophagus was transected at least 2 cm above the tumor's upper margin with linear staplers. The stomach was then extracted through a periumbilical incision, and the proximal stomach was subsequently transected extracorporeally, while ensuring appropriate resection margins on both the greater and lesser curvatures. A single flap was created before returning the remnant stomach to the abdominal cavity and re-establishing pneumoperitoneum. The No.2 clip was used to grasp and elevate the esophageal stump. An incision was made at the right lower edge of the esophageal stump to guarantee that the esophageal lumen was open. The linear stapler was then inserted into the openings of the stomach and esophagus to perform a side overlap anastomosis with a length of 3 cm. Another barbed suture was used to close the common opening of the esophagus and the stomach, and the same barbed suture were used to suture the gastric wall to the lower edge of the muscle flap. The first barbed suture was then used to sequentially suture the proximal brim of the flap to the esophagus and the right brim of the flap to the right brim of the mucosal window. After completion of anastomosis, a drainage tube was inserted through the right upper port. This procedure was employed from November 2023 to March 2024 on five patients diagnosed with adenocarcinoma of the esophagogastric junction and upper stomach. The cohort consisted of three males and two females, with an age range of 62 to 75 years and a body mass index (BMI) of 13.7 to 24.2 kg/m2. All cases were preoperatively staged as T1-2N0M0, confirmed by endoscopic biopsy and enhanced CT scans of the chest, abdomen, and pelvis.Results:All five patients successfully underwent the surgery. The median surgery time was 180-325 minutes, with the intraoperative blood loss of 30-50 ml. The number of lymph nodes harvested ranged from 18 to 27. The time to first flatus, and restore liquid diet and was 2.0-5.0 and 1.0-3.0 days, respectively. The postoperative length of stay was 9.0-11.0 days. The pain scores on the Numeric Rating Scale (NRS). On the first day, the pain scores were 3.0 in two cases, 2.0 in two cases, and 1.0 in one case. On the second day, the pain scores were 2.0 in two cases and 1.0 in three cases. On the third day, the pain scores were 1.0 in four cases and 2.0 in one case. No short-term postoperative complications were observed, and there were no perioperative deaths.Conclusion:Single-incision plus two ports laparoscopic proximal gastrectomy with ROSF is safe and feasible.
		                        		
		                        		
		                        		
		                        	
8.The correlation between colorectal cancer tissues JAK2 gene mutations and TCF3 protein expression with clinical pathological features and prognosis
Ke-Jin YAN ; Hong-Liang ZHU ; Xian-Qiang XIE ; Dong-Sheng LI ; Zeng-Lu ZHENG ; Ji-Yang LI
Modern Interventional Diagnosis and Treatment in Gastroenterology 2024;29(6):675-680,690
		                        		
		                        			
		                        			Objective To explore the correlation between colorectal cancer tissue Janus kinase 2(JAK2)gene mutations and T cytokine 3(TCF3)protein expression with clinical pathological characteristics and prognosis,and to provide laboratory reference indicators for early evaluation of the illness severity and prognosis of colorectal cancer.Methods A retrospective analysis was conducted on the data of 50 colorectal cancer patients who were admitted from January 2016 to April 2021 and retained colon cancer and adjacent tissue wax blocks.Basic information,clinical and pathological features such as TNM staging,lymph node metastasis,and 3-year survival prognosis of the patients were collected.The wax blocks of colon cancer and adjacent tissues of patients were detected,in which Taqman fluorescence probe method was applied to detect the distribution of JAK2 gene at the rs2230724 locus AA,AG,and GG genotypes in colon cancer tissues,and immunohistochemistry method was applied to detect the positive expression rate of TCF3 protein in colon cancer and adjacent tissues.The basic information,JAK2 rs2230724 gene mutation,and TCF3 protein expression of patients with different clinical and pathological characteristics were compared,and the influencing factors of clinical and pathological characteristics of colon cancer was analyzed by logistic regression model.Kaplan Meier survival curve was applied to compare the survival prognosis of patients with JAK2 gene mutations and TCF3 protein expression in colorectal cancer tissue,and Cox regression model was applied to analyze the risk factors affecting the prognosis of colorectal cancer patients.Results The positive expression rate of TCF3 protein in colon cancer tissues was higher than that in adjacent tissues(P<0.05).The age,BMI,proportion of GG genotype at rs2230724 locus of JAK2 gene and positive expression rate of TCF3 protein in TNM stage Ⅲ colon cancer patients were higher than those in TNM stage Ⅰ-Ⅱ patients(P<0.05);The age,BMI,smoking rate,proportion of GG type at the rs2230724 locus of JAK2 gene in colon cancer tissue,and positive expression rate of TCF3 protein in patients with lymph node metastasis were higher than those without lymph node metastasis(P<0.05);The results of the logistic regression model analysis showed that the influencing factors of clinical pathological features such as TNM staging and lymph node metastasis in colon cancer were age,mutation of JAK2 gene rs2230724 site in colon cancer tissue,and positive expression rate of TCF3 protein(P<0.05).The Kaplan Meier survival curve analysis showed that patients with JAK2 gene rs2230724 GG genotype and TCF3 protein positivity in colon cancer tissue had higher cumulative all-cause mortality rates(P<0.05).The results of univariate and multivariate Cox regression model analysis showed that independent risk factors affecting the prognosis of colorectal cancer patients include JAK2 gene rs2230724 site GG type,TCF3 protein positive expression,TNM stage Ⅲ,lymph node metastasis,and age.Conclusion The proportion of JAK2 gene rs2230724 GG type and TCF3 protein expression in colorectal cancer tissues are related to their clinical pathological characteristics and prognosis,and can be used as reference indicators for evaluating clinical pathological characteristics and predicting prognosis of colorectal cancer.
		                        		
		                        		
		                        		
		                        	
		                				9.Two new isoflavones from Dalbergia rimosa  Roxb.
		                			
		                			Wei-yu WANG ; Wen-jiao CHEN ; Mei-fang HUANG ; Cheng-sheng LU ; Xu FENG ; Chen-yan LIANG ; Jian-hua WEI
Acta Pharmaceutica Sinica 2024;59(7):2053-2057
		                        		
		                        			
		                        			 Studies on chemical constituents in the rhizome of 
		                        		
		                        	
10.Development of a High-throughput Sequencing Platform for Detection of Viral Encephalitis Pathogens Based on Amplicon Sequencing
Li Ya ZHANG ; Zhe Wen SU ; Chen Rui WANG ; Yan LI ; Feng Jun ZHANG ; Hui Sheng LIU ; He Dan HU ; Xiao Chong XU ; Yu Jia YIN ; Kai Qi YIN ; Ying HE ; Fan LI ; Hong Shi FU ; Kai NIE ; Dong Guo LIANG ; Yong TAO ; Tao Song XU ; Feng Chao MA ; Yu Huan WANG
Biomedical and Environmental Sciences 2024;37(3):294-302
		                        		
		                        			
		                        			Objective Viral encephalitis is an infectious disease severely affecting human health.It is caused by a wide variety of viral pathogens,including herpes viruses,flaviviruses,enteroviruses,and other viruses.The laboratory diagnosis of viral encephalitis is a worldwide challenge.Recently,high-throughput sequencing technology has provided new tools for diagnosing central nervous system infections.Thus,In this study,we established a multipathogen detection platform for viral encephalitis based on amplicon sequencing. Methods We designed nine pairs of specific polymerase chain reaction(PCR)primers for the 12 viruses by reviewing the relevant literature.The detection ability of the primers was verified by software simulation and the detection of known positive samples.Amplicon sequencing was used to validate the samples,and consistency was compared with Sanger sequencing. Results The results showed that the target sequences of various pathogens were obtained at a coverage depth level greater than 20×,and the sequence lengths were consistent with the sizes of the predicted amplicons.The sequences were verified using the National Center for Biotechnology Information BLAST,and all results were consistent with the results of Sanger sequencing. Conclusion Amplicon-based high-throughput sequencing technology is feasible as a supplementary method for the pathogenic detection of viral encephalitis.It is also a useful tool for the high-volume screening of clinical samples.
		                        		
		                        		
		                        		
		                        	
            
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