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.Enhancement of tropane alkaloids biosynthesis in Atropa belladonna  hariy root by overexpression of HnCYP82M3  and DsTRI  genes
		                			
		                			De-hui MU ; Yan-hong LIU ; Piao-piao CHEN ; Ai-juan TAN ; Bing-nan MA ; Hang PAN ; Ming-sheng ZHANG ; Wei QIANG
Acta Pharmaceutica Sinica 2024;59(3):775-783
		                        		
		                        			
		                        			 Tropane alkaloids (TAs) are a class of anticholinergic drugs widely used in clinical practice and mainly extracted from plant, among which 
		                        		
		                        	
5.Innovation and Practice of Chinese Medicinal Materials Resource Chemistry Leading the Whole Industry Chain Recycling and Green Development of Chinese Medicinal Materials
Jin'ao DUAN ; Sheng GUO ; Shulan SU ; Lanping GUO ; Ming ZHAO ; Rui LIU ; Hui YAN ; Tuanjie WANG ; Zhenzhong WANG ; Wei XIAO ; Luqi HUANG
Journal of Nanjing University of Traditional Chinese Medicine 2024;40(10):1114-1122
		                        		
		                        			
		                        			The concept,connotation and extension,goals and tasks of the discipline of Chinese medicinal materials resource chem-istry have been proposed and developed for 20 years.Looking back at the 20-year construction and development process,continuous exploration and innovative practice have been carried out around the scientific production and effective utilization of traditional Chinese medicinal materials.The theoretical connotation has been further enriched,the research mode has been further improved,and the tech-nical system has been further expanded.A series of research results have been formed and promoted for application,serving the high-quality development of the traditional Chinese medicinal materials industry,and contributing to the improvement of quality,efficiency,and green development of the entire industry chain of Chinese medicinal resources.However,with the rapid growth of Chinese medici-nal materials industry and the continuous expansion and extension of the industry chain,the waste and by-products generated in the production process of Chinese medicinal agriculture and industry are increasing day by day,causing resource waste and environmental pollution,which has become a new major problem facing the development of the industry.This article focuses on the establishment and case analysis of a model for the full industry chain recycling and low-carbon green development of Chinese medicinal materials,as well as the creation of an ecological industry demonstration park for the recycling of Chinese medicinal materials.It showcases the phased a-chievements made in recent years,aiming to provide demonstration and reference for the low-carbon and green transformation of the Chinese medicinal materials industry from a linear economy model to a circular economy model.It provides reference for improving the efficiency of Chinese medicinal materials utilization and creating new quality productivity,and helps promote low-carbon and green de-velopment in the field of Chinese medicinal materials industry.
		                        		
		                        		
		                        		
		                        	
6.Downregulation of MUC1 Inhibits Proliferation and Promotes Apoptosis by Inactivating NF-κB Signaling Pathway in Human Nasopharyngeal Carcinoma
Shou-Wu WU ; Shao-Kun LIN ; Zhong-Zhu NIAN ; Xin-Wen WANG ; Wei-Nian LIN ; Li-Ming ZHUANG ; Zhi-Sheng WU ; Zhi-Wei HUANG ; A-Min WANG ; Ni-Li GAO ; Jia-Wen CHEN ; Wen-Ting YUAN ; Kai-Xian LU ; Jun LIAO
Progress in Biochemistry and Biophysics 2024;51(9):2182-2193
		                        		
		                        			
		                        			ObjectiveTo investigate the effect of mucin 1 (MUC1) on the proliferation and apoptosis of nasopharyngeal carcinoma (NPC) and its regulatory mechanism. MethodsThe 60 NPC and paired para-cancer normal tissues were collected from October 2020 to July 2021 in Quanzhou First Hospital. The expression of MUC1 was measured by real-time quantitative PCR (qPCR) in the patients with PNC. The 5-8F and HNE1 cells were transfected with siRNA control (si-control) or siRNA targeting MUC1 (si-MUC1). Cell proliferation was analyzed by cell counting kit-8 and colony formation assay, and apoptosis was analyzed by flow cytometry analysis in the 5-8F and HNE1 cells. The qPCR and ELISA were executed to analyze the levels of TNF-α and IL-6. Western blot was performed to measure the expression of MUC1, NF-кB and apoptosis-related proteins (Bax and Bcl-2). ResultsThe expression of MUC1 was up-regulated in the NPC tissues, and NPC patients with the high MUC1 expression were inclined to EBV infection, growth and metastasis of NPC. Loss of MUC1 restrained malignant features, including the proliferation and apoptosis, downregulated the expression of p-IкB、p-P65 and Bcl-2 and upregulated the expression of Bax in the NPC cells. ConclusionDownregulation of MUC1 restrained biological characteristics of malignancy, including cell proliferation and apoptosis, by inactivating NF-κB signaling pathway in NPC. 
		                        		
		                        		
		                        		
		                        	
		                				7.Ameliorative effect of Panax notoginseng  saponins eye drops on non-proliferative diabetic retinopathy in rats
		                			
		                			Xin SUN ; Ya-ru WANG ; Xue-mei CHENG ; Hong-yu CHEN ; Ming CHEN ; Shu-sheng LAI ; Li-li JI ; Xiao-hui WEI ; Chang-hong WANG
Acta Pharmaceutica Sinica 2024;59(5):1271-1279
		                        		
		                        			
		                        			 Diabetic retinopathy (DR) is a diabetic ocular complication that can lead to poor vision and blindness. This experiment aimed to investigate the ameliorative effect and its mechanism of 
		                        		
		                        	
8.Calculation of retention and excretion fractions for uranium intake via wounds based on ICRP Report 137
Jieying LEI ; Yang ZHANG ; Bin ZHANG ; Ming XU ; Wei SHENG ; Gaofeng SUN
Chinese Journal of Radiological Health 2024;33(6):631-637
		                        		
		                        			
		                        			Objective To assess the retention and excretion fractions for uranium intake via wounds in the organs of adult reference computational phantom, and to improve the evaluation of health risks associated with radioactive isotopes intake via wounds. Methods A software for evaluation of the internal radiation dose was developed by combining the wound model in International Commission on Radiological Protection Report 156 and the systemic models in the International Commission on Radiological Protection Report 130 and the subsequent Occupational Intakes of Radionuclides series reports. This study was conducted to calculate the uranium retention fractions in adult reference individuals following ingestion through wounds of seven categories of uranium: weakly retained, moderately retained, strongly retained, very strongly retained, colloids, particles, and fragments. We assessed the retention fractions in the wound sites, bones, and liver, as well as the excretion fractions in urine and feces, and compared these results with authoritative results. Results The retention and excretion fractions of 238U and 235U in different forms of intake via wounds showed consistent variations. The retention fractions of weak and moderate uranium in wounds could be ignored after 1 000 d. The retention fractions of strong, avid, and colloid uranium were 10−4 to 10−5 after 10 000 d. A significant portion of the uranium present in the forms of particles and fragments exhibited long-term retention in wounds. The bone retention fractions were 1 to 2 orders of magnitude higher than the liver retention fractions. Following the intake of soluble and insoluble uranium, the retention fractions in these two organs decreased and increased, respectively, compared with those observed on the first day. The urinary excretion fractions were approximately 2 orders of magnitude higher than the fecal excretion fractions. Following the intake of soluble and particulate uranium, the excretion fractions decreased. At 1 000 d after the intake of uranium in the form of fragments, the urinary and fecal excretion fractions were 10−6 and 10−8, respectively. Conclusion The calculation results validated the accuracy of the established models, providing data support for the assessment of internal exposure doses in individuals following uranium wound contamination incidents.
		                        		
		                        		
		                        		
		                        	
9.Remote Virtual Companion via Tactile Codes and Voices for The People With Visual Impairment
Song GE ; Xuan-Tuo HUANG ; Yan-Ni LIN ; Yan-Cheng LI ; Wen-Tian DONG ; Wei-Min DANG ; Jing-Jing XU ; Ming YI ; Sheng-Yong XU
Progress in Biochemistry and Biophysics 2024;51(1):158-176
		                        		
		                        			
		                        			ObjectiveExisting artificial vision devices can be divided into two types: implanted devices and extracorporeal devices, both of which have some disadvantages. The former requires surgical implantation, which may lead to irreversible trauma, while the latter has some defects such as relatively simple instructions, limited application scenarios and relying too much on the judgment of artificial intelligence (AI) to provide enough security. Here we propose a system that has voice interaction and can convert surrounding environment information into tactile commands on head and neck. Compared with existing extracorporeal devices, our device can provide a larger capacity of information and has advantages such as lower cost, lower risk, suitable for a variety of life and work scenarios. MethodsWith the latest remote wireless communication and chip technologies, microelectronic devices, cameras and sensors worn by the user, as well as the huge database and computing power in the cloud, the backend staff can get a full insight into the scenario, environmental parameters and status of the user remotely (for example, across the city) in real time. In the meanwhile, by comparing the cloud database and in-memory database and with the help of AI-assisted recognition and manual analysis, they can quickly develop the most reasonable action plan and send instructions to the user. In addition, the backend staff can provide humanistic care and emotional sustenance through voice dialogs. ResultsThis study originally proposes the concept of “remote virtual companion” and demonstrates the related hardware and software as well as test results. The system can not only achieve basic guide functions, for example, helping a person with visual impairment to shop in supermarkets, find seats at cafes, walk on the streets, construct complex puzzles, and play cards, but also can meet the demand for fast-paced daily tasks such as cycling. ConclusionExperimental results show that this “remote virtual companion” is applicable for various scenarios and demands. It can help blind people with their travels, shopping and entertainment, or accompany the elderlies with their trips, wilderness explorations, and travels. 
		                        		
		                        		
		                        		
		                        	
10.Research progress on inflammatory mechanism and treatment in aneurysmal subarachnoid hemorrhage
Ming ZHANG ; Xiao-Wei SONG ; Xiao-Kui GAN ; Yi-Ming FANG ; Bao-Sheng HUANG
Medical Journal of Chinese People's Liberation Army 2024;49(11):1336-1342
		                        		
		                        			
		                        			Aneurysmal subarachnoid hemorrhage(aSAH),primarily caused by the rupture of intracranial aneurysms with bleeding into the subarachnoid space,is an acute neurological disease associated with high disability and mortality.Brain injury after aSAH results from a combination of injury mechanisms,with early brain injury(EBI)occurring within 72 hours post-onset,laying the foundation for subsequent pathophysiological changes in the brain and poor prognosis of patients.Among them,the brain immunoinflammatory response,involving the interaction of various immune cells and active substances,plays a significant role in post-aSAH EBI,and is related to delayed brain injury and long-term prognosis.Systemic inflammatory response following aSAH can also affect the prognosis and outcome of patients.This review summarizes the role of local and systemic immune inflammatory responses in the occurrence and progression of aSAH,as well as the research progress on related inflammatory biomarkers and therapeutic prospects,aiming to provide a theoretical reference for new treatment for aSAH.
		                        		
		                        		
		                        		
		                        	
            
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