1.Research progress of nano drug delivery system based on metal-polyphenol network for the diagnosis and treatment of inflammatory diseases
Meng-jie ZHAO ; Xia-li ZHU ; Yi-jing LI ; Zi-ang WANG ; Yun-long ZHAO ; Gao-jian WEI ; Yu CHEN ; Sheng-nan HUANG
Acta Pharmaceutica Sinica 2025;60(2):323-336
		                        		
		                        			
		                        			 Inflammatory diseases (IDs) are a general term of diseases characterized by chronic inflammation as the primary pathogenetic mechanism, which seriously affect the quality of patient′s life and cause significant social and medical burden. Current drugs for IDs include nonsteroidal anti-inflammatory drugs, corticosteroids, immunomodulators, biologics, and antioxidants, but these drugs may cause gastrointestinal side effects, induce or worsen infections, and cause non-response or intolerance. Given the outstanding performance of metal polyphenol network (MPN) in the fields of drug delivery, biomedical imaging, and catalytic therapy, its application in the diagnosis and treatment of IDs has attracted much attention and significant progress has been made. In this paper, we first provide an overview of the types of IDs and their generating mechanisms, then sort out and summarize the different forms of MPN in recent years, and finally discuss in detail the characteristics of MPN and their latest research progress in the diagnosis and treatment of IDs. This research may provide useful references for scientific research and clinical practice in the related fields. 
		                        		
		                        		
		                        		
		                        	
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.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. 
		                        		
		                        		
		                        		
		                        	
		                				5.A new suberin from roots of Ephedra sinica  Stapf
		                			
		                			Bo-wen ZHANG ; Meng LI ; Xiao-lan WANG ; Ying YANG ; Shi-qi ZHOU ; Si-qi TAO ; Meng YANG ; Deng-hui ZHU ; Ya-tong XU ; Wei-sheng FENG ; Xiao-ke ZHENG
Acta Pharmaceutica Sinica 2024;59(3):661-666
		                        		
		                        			
		                        			 Six compounds were isolated from the roots of 
		                        		
		                        	
6.Comparison of the predictive value of new simplified insulin resistance assessment indexes in identifying left ventricular subclinical dysfunction in T2DM patients
Yan-Yan CHEN ; Meng-Ying LI ; Jie ZHOU ; Jian-Fang FU ; Ying ZHANG ; Yi WANG ; Cheng WANG ; Xiang-Yang LIU ; Sheng-Jun TA ; Li-Wen LIU ; Ze-Ping LI ; Xiao-Miao LI
Medical Journal of Chinese People's Liberation Army 2024;49(2):137-143
		                        		
		                        			
		                        			Objective To investigate the predictive value of new simplified insulin resistance(IR)assessment indexes in identifying subclinical left ventricular systolic function impairment in patients with type 2 diabetes mellitus(T2DM).Methods A total of 150 T2DM patients with preserved left ventricular ejection fraction(LVEF≥50%)who were admitted to Department of Endocrinology of the First Affiliated Hospital of Air Force Medical University from June 2021 to December 2021 were retrospectively analyzed.All patients underwent two-dimensional speckle tracking echocardiography to measure left ventricular global longitudinal strain(GLS).According to GLS value,the subjects were divided into the normal group(GLS≥18%group,n=80)and the impaired group(GLS<18%group,n=70).Some new simplified IR assessment indicators were calculated and compared between the two groups,including body mass index(BMI),TG/HDL-C ratio,triglyceride-glucose(TyG)index,TyG-BMI index,TyG-WHR and metabolic score for IR(METS-IR).Correlation between the GLS and the new simplified IR assessment indexes was analyzed.The receiver operating characteristic(ROC)curve was used to analyze the diagnostic efficacy of different simplified IR assessment indexes,with the area under the curve(AUC)calculated.Furthermore,according to whether the subjects were complicated with hypertension,binary logistics regression analysis was performed to explore the independent correlation between the simplified IR assessment index and GLS<18%.Results Total 150 were included with aged(54.5±13.7)years with 96(64.0%)men and 54(36.0%)women.Compared with the GLS≥18%group,the TG/HDL-C ratio,TyG index,TyG-BMI,and METS-IR of subjects in the GLS<18%group were significantly increased(P<0.05).Pearson correlation analysis showed that TG/HDL-C ratio,TyG index,TyG-BMI,TyG-WHR,and METS-IR were negatively correlated with GLS(P<0.05).ROC analysis showed that TyG index had a certain predictive value for the evaluation of GLS<18%(AUC=0.678,95%CI 0.591-0.765,P<0.001).Stratification based on hypertension and further adjusting for confounding factors,TyG index remains significantly associated with GLS<18%(OR=3.249,95%CI 1.045-10.103,P=0.042).Conclusions The novel simplified insulin resistance evaluation indexes are closely associated with left ventricular subclinical systolic dysfunction in T2DM patients with preserved ejection fraction.TyG index is an effective index to identify left ventricular subclinical dysfunction in these populations.
		                        		
		                        		
		                        		
		                        	
7.Development and design of distal radial artery puncture compression hemostatic device
Xueqing ZHU ; Yang GE ; Meng LI ; Sheng YUAN ; Jingjing WANG ; Zhenyu LIU
China Medical Equipment 2024;21(2):196-199
		                        		
		                        			
		                        			To research and design a new type of distal radial artery puncture compression hemostatic device,to solve the problem of distal radial artery puncture and compression hemostat that has not been clinically applied in China.The hemostatic device was mainly composed of hemostatic part,pressure regulating part,fixing part and visual window.The hemostatic device can accurately compress the puncture point,and it was convenient for medical staff to observe the wound through the visual window,find out abnormal conditions such as bleeding or hematoma in time,and take measures to deal with them,which greatly improved the hemostatic effect and comfort of the postoperative puncture point.The new hemostatic device has the advantages of reasonable design and simple clinical operation,which is worthy of clinical promotion.
		                        		
		                        		
		                        		
		                        	
8.mRNA Vaccines and Drugs: a New Favorite for Cancer Immunotherapy
Zhi-Meng WEI ; Sheng DANG ; Guang-Chen LI ; Lan-Zhu GAO ; Jing-Bo ZHAI
Progress in Biochemistry and Biophysics 2024;51(9):2115-2132
		                        		
		                        			
		                        			mRNA vaccines and drugs enter host cells through delivery vectors and produce target proteins using the protein synthesis mechanism of cells. mRNA and target proteins can induce the body to produce innate immunity and adaptive immunity, and the target protein itself can also play a corresponding role. Tumor cells are inhibited and cleared under the above immune effects and target proteins. This article reviews the immunogenicity of mRNA, that is, the specific mechanism of stimulating the body to produce an immune response.At the same time, the main types of cells transfected by mRNA vaccine were briefly introduced. (1) Muscle cells, epidermal cells, dendritic cells and macrophages at the injection site; (2) immune cells in peripheral lymphoid organs;(3) liver cells and spleen cells, etc. Although transfected with a variety of cells, it is mainly enriched in immune cells and liver cells because immune cells express toll-like receptors and liver cells express low-density lipoprotein receptors. mRNA vaccines and drugs are mainly divided into non-replicating mRNA (nrmRNA),self-amplifying RNA (saRNA), trans-amplifying RNA (taRNA) and circular RNA (circRNA).This article reviews how these 4 types of vaccines and drugs work, and compares their advantages and disadvantages. Due to its inherent immunogenicity, instability, and low delivery efficiency in vivo, mRNA vaccines and drugs have been unable to enter the clinic. This article describes in detail how to reformation and modify the 5'cap, 5'UTR, 3'UTR, ORF, 3'Poly(A) and some nucleotides of mRNA to eliminate its immunogenicity and instability. Due to the low efficiency of the delivery carrier, the researchers optimized it. This article briefly introduces the application of non-viral vectors and their targeting, specifically involving the mechanism of action of various types of delivery vectors and their advantages and disadvantages, and summarizes some of the current targeting vectors. Targeted carriers can improve the delivery efficiency of mRNA to specific tissues and prevent side effects of systemic exposure, such as liver injury. The specific methods of using mRNA vaccines and drugs to treat cancer are as follows: mRNA can be used to encode and transcribe tumor-associated antigens, tumor-specific antigens (TSAs), therapeutic antibodies, cytokines, tumor suppressors, oncolytic viruses, CRISPR-Cas9, CARs and TCRs, so as to play an anti-tumor role. In this paper, the specific mechanism of the above methods and the current research and development of corresponding mRNA vaccines and drugs are briefly reviewed. The successful development of the COVID-19 mRNA vaccine has brought mRNA technology to the attention of the world and brought new and effective means for the prevention and treatment of cancer. mRNA vaccines and drugs have the advantages of short development cycle, dual immune mechanism, safety, high efficiency and large-scale production. At the same time, there are also many areas that need further improvement, such as the development of ideal target TSAs, the in-depth development of saRNA, taRNA and circRNA, the development of targeted nano-delivery for different tissues and organs, the expansion of mRNA administration routes, and the development of mRNA that can be stably stored at room temperature or even high temperature. These problems need to be further studied and solved. In addition to cancer therapy, mRNA vaccines and drugs can also be used in the treatment of infectious diseases, genetic diseases, regenerative medicine and anti-aging. mRNA vaccines and drugs are a very promising platform, and we believe that they will benefit cancer patients in the near future. 
		                        		
		                        		
		                        		
		                        	
		                				9.A new furan α -butenolactones from Alisma orientale  and their potential antifibrotic activities
		                			
		                			Deng-hui ZHU ; Peng-li GUO ; Si-qi TAO ; Jing-ke ZHANG ; Meng-nan ZENG ; Xiao-ke ZHENG ; Wei-sheng FENG
Acta Pharmaceutica Sinica 2024;59(7):2058-2061
		                        		
		                        			
		                        			 Four furan 
		                        		
		                        	
10.A novel PAX9 variant in a Chinese family with non-syndromic oligodontia and genotype-phenotype analysis of PAX9 variants
Zhanyun JIN ; Junjia GUO ; Yunyun YUAN ; Lingqiang MENG ; Hui LI ; Ya ZHAO ; Jiabao REN ; Yongping MA ; Zun-Sheng XIAO ; Hong ZHANG ; Ling YANG ; Chenyun DOU ; Xiaoxue WANG ; Jinmei WANG ; Wenjing SHEN
West China Journal of Stomatology 2024;42(5):581-592
		                        		
		                        			
		                        			Objective This study aimed to identify PAX9 variants in non-syndromic tooth agenesis families of Chi-na,as well as to analyze the genotype-phenotype of non-syndromic tooth agenesis caused by PAX9 variants,which can provide a basis for the genetic diagnosis of tooth agenesis.Methods We collected the data of 44 patients with non-syn-dromic oligodontia who underwent treatment at Stomatological Hospital of Hebei Medical University between 2018 and 2023.Whole-exome sequencing was performed on the peripheral blood of the proband and its core family members,and the variants were verified by Sanger sequencing.Pathogenicity analysis and function prediction of the variants were per-formed using bioinformatics tools.The correlation between the genotype of PAX9 variant and its corresponding pheno-type was examined by reviewing 55 publications retrieved from PubMed.The studies involved 232 tooth agenesis pa-tients with PAX9 variants.Results A novel PAX9 c.447delG(p.Pro150Argfs*62)and a reported PAX9 c.406C>T(p.Gln136*)were identified in two Chinese families.Through bioinformatics analysis and three-dimensional structural mod-eling,we postulated that the frameshift variant was pathogenic.The outcome was the premature cessation of PAX9 pro-tein,which caused severe structural and functional deficiencies.Summarizing the PAX9 genotype-phenotype relationship revealed that patients carrying the PAX9 variant commonly led to loss of the second molars.Conclusion We identified the novel PAX9 c.447delG(p.Pro150Argfs*62)in a Chinese family of non-syndromic oligodontia,expanding the known variant spectrum of PAX9.The most susceptible tooth position for PAX9 variants of tooth agenesis was the second mo-lars and the deciduous molars during the deciduous dentition.
		                        		
		                        		
		                        		
		                        	
            
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