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.Epidemiological Investigation of Dampness Syndrome Manifestations in the Population at Risk of Cerebrovascular Disease
Xiao-Jia NI ; Hai-Yan HUANG ; Qing SU ; Yao XU ; Ling-Ling LIU ; Zhuo-Ran KUANG ; Yi-Hang LI ; Yi-Kai ZHANG ; Miao-Miao MENG ; Yi-Xin GUO ; Xiao-Bo YANG ; Ye-Feng CAI
Journal of Guangzhou University of Traditional Chinese Medicine 2024;41(3):531-539
		                        		
		                        			
		                        			Objective To make an epidemiological investigation on traditional Chinese medicine(TCM)dampness syndrome manifestations in the population at risk of cerebrovascular diseases in Guangdong area.Methods A cross-sectional study was conducted to analyze the clinical data related to the risk of cerebrovascular diseases in 330 Guangdong permanent residents.The diagnosis of dampness syndrome,quantitative scoring of dampness syndrome and rating of the risk of stroke were performed for the investigation of the distribution pattern of dampness syndrome and its influencing factors.Results(1)A total of 306(92.73%)study subjects were diagnosed as dampness syndrome.The percentage of dampness syndrome in the risk group was 93.82%(258/275),which was slightly higher than that of the healthy group(48/55,87.27%),but the difference was not statistically significant(χ2 = 2.91,P = 0.112).The quantitative score of dampness syndrome in the risk group was higher than that of the healthy group,and the difference was statistically significance(Z =-2.24,P = 0.025).(2)Among the study subjects at risk of cerebrovascular disease,evaluation time(χ2 = 26.11,P = 0.001),stroke risk grading(χ2= 8.85,P = 0.031),and history of stroke or transient ischemic attack(TIA)(χ2 = 9.28,P = 0.015)were the factors influencing the grading of dampness syndrome in the population at risk of cerebrovascular disease.Conclusion Dampness syndrome is the common TCM syndrome in the population of Guangdong area.The manifestations of dampness syndrome are more obvious in the population with risk factors of cerebrovascular disease,especially in the population at high risk of stroke,and in the population with a history of stroke or TIA.The assessment and intervention of dampness syndrome should be taken into account for future project of stroke prevention in Guangdong.
		                        		
		                        		
		                        		
		                        	
5.Hepatitis C virus infection:surveillance report from China Healthcare-as-sociated Infection Surveillance System in 2020
Xi-Mao WEN ; Nan REN ; Fu-Qin LI ; Rong ZHAN ; Xu FANG ; Qing-Lan MENG ; Huai YANG ; Wei-Guang LI ; Ding LIU ; Feng-Ling GUO ; Shu-Ming XIANYU ; Xiao-Quan LAI ; Chong-Jie PANG ; Xun HUANG ; An-Hua WU
Chinese Journal of Infection Control 2024;23(1):1-8
		                        		
		                        			
		                        			Objective To investigate the infection status and changing trend of hepatitis C virus(HCV)infection in hospitalized patients in medical institutions,and provide reference for formulating HCV infection prevention and control strategies.Methods HCV infection surveillance results from cross-sectional survey data reported to China Healthcare-associated Infection(HAI)Surveillance System in 2020 were summarized and analyzed,HCV positive was serum anti-HCV positive or HCV RNA positive,survey result was compared with the survey results from 2003.Results In 2020,1 071 368 inpatients in 1 573 hospitals were surveyed,738 535 of whom underwent HCV test,4 014 patients were infected with HCV,with a detection rate of 68.93%and a HCV positive rate of 0.54%.The positive rate of HCV in male and female patients were 0.60%and 0.48%,respectively,with a statistically sig-nificant difference(x2=47.18,P<0.001).The HCV positive rate in the 50-<60 age group was the highest(0.76%),followed by the 40-<50 age group(0.71%).Difference among all age groups was statistically signifi-cant(x2=696.74,P<0.001).In 2003,91 113 inpatients were surveyed.35 145 of whom underwent HCV test,resulting in a detection rate of 38.57%;775 patients were infected with HCV,with a positive rate of 2.21%.In 2020,HCV positive rates in hospitals of different scales were 0.46%-0.63%,with the highest in hospital with bed numbers ranging 600-899.Patients'HCV positive rates in hospitals of different scales was statistically signifi-cant(X2=35.34,P<0.001).In 2020,12 provinces/municipalities had over 10 000 patients underwent HCV-rela-ted test,and HCV positive rates ranged 0.19%-0.81%,with the highest rate from Hainan Province.HCV posi-tive rates in different departments were 0.06%-0.82%,with the lowest positive rate in the department of pedia-trics and the highest in the department of internal medicine.In 2003 and 2020,HCV positive rates in the depart-ment of infectious diseases were the highest,being 7.95%and 3.48%,respectively.Followed by departments of orthopedics(7.72%),gastroenterology(3.77%),nephrology(3.57%)and general intensive care unit(ICU,3.10%)in 2003,as well as departments of gastroenterology(1.35%),nephrology(1.18%),endocrinology(0.91%),and general intensive care unit(ICU,0.79%)in 2020.Conclusion Compared with 2003,HCV positive rate decreased significantly in 2020.HCV infected patients were mainly from the department of infectious diseases,followed by departments of gastroenterology,nephrology and general ICU.HCV infection positive rate varies with gender,age,and region.
		                        		
		                        		
		                        		
		                        	
6.Hepatic lipidomics study in chronic cadmium-exposed mice
Rong-Rong HAO ; Ling LI ; Li TIAN ; Jia XIE ; Meng-Yan CHEN ; Zheng-Ping YU ; Hui-Feng PI
Journal of Regional Anatomy and Operative Surgery 2024;33(3):194-200
		                        		
		                        			
		                        			Objective To study the change of lipidomics in chronic cadmium-exposed mice,thereby screening out lipid subclasses,lipid molecules and enriched metabolic pathways with significant differences.Methods Twelve SPF male C57BL/6J mice(8 weeks old)were randomly divided into the control group(normal water feeding)and the experimental group[cadmium water(0.6 mg/L of CdCl2)feeding],with 6 mice in each group.Mice were sacrificed after 6 months of cadmium exposure,and fresh liver tissues were collected immediately.Lipid oil red O staining and lipidomics analysis were performed on liver tissue.Results Compared with the control group,the liver tissue of mice in the experimental group did not appear red after lipid oil red O staining.Seventeen lipid subclasses with significant differences and 144 lipid molecules with significant differences were screened out by lipidomics.These lipid molecules with significant differences were enriched in glycerophospholipid metabolism,linoleic acid metabolism,alpha-linolenic acid metabolism,glycosylphosphati-dylinositol biosynthesis,glycerolipid metabolism and arachidonic acid metabolism by KEGG.Conclusion This study reveals that chronic cadmium exposure can induce the disorder of lipid subclasses and lipid metabolites in the liver of mice,which provides a basis for understanding the non-alcoholic fatty liver disease caused by chronic cadmium exposure.
		                        		
		                        		
		                        		
		                        	
7.Expression and functional analysis of endocytosis-related gene FCHO2 in breast cancer
FENG Xuefei ; HAO Yanlong ; MENG Xiaoyan ; GUO Yanlin ; ZHAI Yuanfang ; ZOU Binbin ; ZHANG Ling
Chinese Journal of Cancer Biotherapy 2024;31(6):598-606
		                        		
		                        			
		                        			[摘  要]  目的:探讨内吞作用相关基因FCHO2在各亚型乳腺癌中的表达及其与乳腺癌患者的预后和免疫细胞浸润的相关性。方法:应用免疫组化法和bc-GenExMiner v5.0数据库数据分析FCHO2在各亚型乳腺癌组织中的表达,通过GEO和TIMER数据库数据分析FCHO2与各亚型乳腺癌患者预后和免疫细胞浸润的关系,利用STRING和GEPIA数据库数据分析与FCHO2的互作蛋白网络和其与互作蛋白的相关性,通过UALCAN和DAVID数据库数据对乳腺癌组织中FCHO2表达相关基因进行KEGG和GO分析。结果:免疫组化法结果显示,FCHO2在管腔型和HER2+乳腺癌组织中均呈高表达(均P<0.05),且与HER2和Ki67表达有关联(P=0.03和P=0.007)。FCHO2高表达的管腔型乳腺癌患者总生存期(OS)和无复发生存期(RFS)均明显缩短(均P<0.05)。FCHO2蛋白与EPS15等多种蛋白表达相关且构成蛋白-蛋白互作网络。KEGG和GO分析显示,乳腺癌组织中FCHO2相关表达基因主要与昼夜节律、自噬等生物学过程有关,涉及叉头框蛋白O(FoxO)和TGF-β等信号通路。FCHO2表达与各亚型乳腺癌组织中的免疫细胞浸润相关(均P<0.05)。结论:FCHO2在管腔型、HER2+乳腺癌组织中呈高表达,且与管腔型乳腺癌患者预后及免疫细胞浸润相关,其可能成为乳腺癌治疗的潜在靶点。
		                        		
		                        		
		                        		
		                        	
8.Expression and functional analysis of endocytosis-related gene FCHO2 in breast cancer
FENG Xuefei ; HAO Yanlong ; MENG Xiaoyan ; GUO Yanlin ; ZHAI Yuanfang ; ZOU Binbin ; ZHANG Ling
Chinese Journal of Cancer Biotherapy 2024;31(6):598-606
		                        		
		                        			
		                        			[摘  要]  目的:探讨内吞作用相关基因FCHO2在各亚型乳腺癌中的表达及其与乳腺癌患者的预后和免疫细胞浸润的相关性。方法:应用免疫组化法和bc-GenExMiner v5.0数据库数据分析FCHO2在各亚型乳腺癌组织中的表达,通过GEO和TIMER数据库数据分析FCHO2与各亚型乳腺癌患者预后和免疫细胞浸润的关系,利用STRING和GEPIA数据库数据分析与FCHO2的互作蛋白网络和其与互作蛋白的相关性,通过UALCAN和DAVID数据库数据对乳腺癌组织中FCHO2表达相关基因进行KEGG和GO分析。结果:免疫组化法结果显示,FCHO2在管腔型和HER2+乳腺癌组织中均呈高表达(均P<0.05),且与HER2和Ki67表达有关联(P=0.03和P=0.007)。FCHO2高表达的管腔型乳腺癌患者总生存期(OS)和无复发生存期(RFS)均明显缩短(均P<0.05)。FCHO2蛋白与EPS15等多种蛋白表达相关且构成蛋白-蛋白互作网络。KEGG和GO分析显示,乳腺癌组织中FCHO2相关表达基因主要与昼夜节律、自噬等生物学过程有关,涉及叉头框蛋白O(FoxO)和TGF-β等信号通路。FCHO2表达与各亚型乳腺癌组织中的免疫细胞浸润相关(均P<0.05)。结论:FCHO2在管腔型、HER2+乳腺癌组织中呈高表达,且与管腔型乳腺癌患者预后及免疫细胞浸润相关,其可能成为乳腺癌治疗的潜在靶点。
		                        		
		                        		
		                        		
		                        	
9.Preparation of Polyethylenimine Modified Nickel Ferrite-Graphene Oxide Material and Its Application in Enrichment of Phosphopeptides
Kai-Na ZHANG ; Yuan LIU ; Xiang-Feng WANG ; Hai-Ling LIU ; Meng-Xia XIE
Chinese Journal of Analytical Chemistry 2024;52(5):664-673
		                        		
		                        			
		                        			The NiFe2O4-graphene oxide nanocomposite modified with polyethylenimine(GO@PEI-NiFe2O4)was prepared to purify and enrich phosphopeptides from biosamples.The Ni2+and Fe3+ions on its surface could coordinate with phosphate groups and then selectively adsorb phosphopeptides.PEI was conducive to the above combination due to its high hydrophilicity.The material showed good magnetic response properties and could be rapidly separated from samples with the aid of magnet.With tryptic digest of β-casein as sample,the enrichment property of the material to phosphopeptides was studied,which was compared with the results of GO@NiFe2O4,revealing the adsorption mechanism of GO@PEI-NiFe2O4.The static and dynamic binding properties of GO@PEI-NiFe2O4 were investigated using pTyr as a representative phosphopeptide,and the adsorption capacity was 36.2 μg/mg.The results showed that the material could remove the interference of nonphosphopeptides and effectively enrich phosphopeptides in complex matrix.After enrichment by GO@PEI-NiFe2O4,1535 phosphopeptides were identified from the tryptic digest of rat liver by mass spectrum and the enrichment effect of GO@PEI-NiFe2O4 greatly outperformed commercial Fe3+-IMAC kits.This work provided an efficient material for the enrichment of phosphopeptides,showing potential applications in phosphoproteomics research.
		                        		
		                        		
		                        		
		                        	
10.Correlation of serum PRL and IL-38 with type 2 diabetes mellitus combined with non-alcoholic fatty liver disease
Qiong FENG ; Ling DANG ; Meng JIANG
International Journal of Laboratory Medicine 2024;45(22):2747-2751,2757
		                        		
		                        			
		                        			Objective To investigate the correlation of serum oxytocin(PRL)and interleukin-38(IL-38)with type 2 diabetes mellitus(T2DM)combined with non-alcoholic fatty liver disease(NAFLD).Methods A total of 172 patients with T2DM admitted to the Department of Gastroenterology in the hospital from January 2021 to January 2023 were selected as the T2DM group and were divided into the NAFLD group(88 cases)and the non-NAFLD group(84 cases)according to whether or not they were comorbid with NAFLD,and 67 physically examined healthy people during the same period were also selected as the control group.Serum PRL and IL-38 levels were measured by enzyme-linked immunosorbent assay.Logistic regression was used to ana-lyze the factors affecting T2DM combined with NAFLD,and receiver operating characteristic(ROC)curve was used to analyze the predictive value of serum PRL and IL-38 for T2DM combined with NAFLD.Results Com-pared with the control group,serum PRL levels decreased and IL-38 levels increased in the T2DM group(P<0.05).The NAFLD comorbidity rate was 51.16%(88/172)in 172 patients with T2DM.Compared with the non-NAFLD group,serum PRL levels decreased and IL-38 levels increased in the NAFLD group(P<0.05).Increased body mass index,prolonged duration of T2DM,and elevated ghrelin aminotransferase,ghrelin amin-otransferase,total cholesterol,triacylglycerol,LDL cholesterol,and IL-38 were the independent risk factors for T2DM combined with NAFLD(P<0.05),and elevated HDL cholesterol and PRL were the independent pro-tective factors(P<0.05).The area under the curve for the combined prediction of serum PRL and IL-38 for T2DM combined with NAFLD was 0.897,which was greater than 0.779 and 0.782 of serum PRL and IL-38 alone(P<0.05).Conclusion Reduced serum PRL levels and increased IL-38 levels in T2DM patients are in-dependent influencing factors for T2DM combined with NAFLD,and the combination of serum PRL and IL-38 has a high predictive value for T2DM combined with NAFLD.
		                        		
		                        		
		                        		
		                        	
            
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