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.
2.6-Gingerol Induced Apoptosis and Cell Cycle Arrest in Glioma Cells via MnSOD and ERK Phosphorylation Modulation
Sher-Wei LIM ; Wei-Chung CHEN ; Huey-Jiun KO ; Yu-Feng SU ; Chieh-Hsin WU ; Fu-Long HUANG ; Chien-Feng LI ; Cheng Yu TSAI
Biomolecules & Therapeutics 2025;33(1):129-142
6-gingerol, a bioactive compound from ginger, has demonstrated promising anticancer properties across various cancer models by inducing apoptosis and inhibiting cell proliferation and invasion. In this study, we explore its mechanisms against glioblastoma multiforme (GBM), a notably aggressive and treatment-resistant brain tumor. We found that 6-gingerol crosses the blood-brain barrier more effectively than curcumin, enhancing its potential as a therapeutic agent for brain tumors. Our experiments show that 6-gingerol reduces cell proliferation and triggers apoptosis in GBM cell lines by disrupting cellular energy homeostasis. This process involves an increase in mitochondrial reactive oxygen species (mtROS) and a decrease in mitochondrial membrane potential, primarily due to the downregulation of manganese superoxide dismutase (MnSOD). Additionally, 6-gingerol reduces ERK phosphorylation by inhibiting EGFR and RAF, leading to G1 phase cell cycle arrest. These findings indicate that 6-gingerol promotes cell death in GBM cells by modulating MnSOD and ROS levels and arresting the cell cycle through the ERFR-RAF-1/MEK/ ERK signaling pathway, highlighting its potential as a therapeutic agent for GBM and setting the stage for future clinical research.
3.6-Gingerol Induced Apoptosis and Cell Cycle Arrest in Glioma Cells via MnSOD and ERK Phosphorylation Modulation
Sher-Wei LIM ; Wei-Chung CHEN ; Huey-Jiun KO ; Yu-Feng SU ; Chieh-Hsin WU ; Fu-Long HUANG ; Chien-Feng LI ; Cheng Yu TSAI
Biomolecules & Therapeutics 2025;33(1):129-142
6-gingerol, a bioactive compound from ginger, has demonstrated promising anticancer properties across various cancer models by inducing apoptosis and inhibiting cell proliferation and invasion. In this study, we explore its mechanisms against glioblastoma multiforme (GBM), a notably aggressive and treatment-resistant brain tumor. We found that 6-gingerol crosses the blood-brain barrier more effectively than curcumin, enhancing its potential as a therapeutic agent for brain tumors. Our experiments show that 6-gingerol reduces cell proliferation and triggers apoptosis in GBM cell lines by disrupting cellular energy homeostasis. This process involves an increase in mitochondrial reactive oxygen species (mtROS) and a decrease in mitochondrial membrane potential, primarily due to the downregulation of manganese superoxide dismutase (MnSOD). Additionally, 6-gingerol reduces ERK phosphorylation by inhibiting EGFR and RAF, leading to G1 phase cell cycle arrest. These findings indicate that 6-gingerol promotes cell death in GBM cells by modulating MnSOD and ROS levels and arresting the cell cycle through the ERFR-RAF-1/MEK/ ERK signaling pathway, highlighting its potential as a therapeutic agent for GBM and setting the stage for future clinical research.
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.
5.6-Gingerol Induced Apoptosis and Cell Cycle Arrest in Glioma Cells via MnSOD and ERK Phosphorylation Modulation
Sher-Wei LIM ; Wei-Chung CHEN ; Huey-Jiun KO ; Yu-Feng SU ; Chieh-Hsin WU ; Fu-Long HUANG ; Chien-Feng LI ; Cheng Yu TSAI
Biomolecules & Therapeutics 2025;33(1):129-142
6-gingerol, a bioactive compound from ginger, has demonstrated promising anticancer properties across various cancer models by inducing apoptosis and inhibiting cell proliferation and invasion. In this study, we explore its mechanisms against glioblastoma multiforme (GBM), a notably aggressive and treatment-resistant brain tumor. We found that 6-gingerol crosses the blood-brain barrier more effectively than curcumin, enhancing its potential as a therapeutic agent for brain tumors. Our experiments show that 6-gingerol reduces cell proliferation and triggers apoptosis in GBM cell lines by disrupting cellular energy homeostasis. This process involves an increase in mitochondrial reactive oxygen species (mtROS) and a decrease in mitochondrial membrane potential, primarily due to the downregulation of manganese superoxide dismutase (MnSOD). Additionally, 6-gingerol reduces ERK phosphorylation by inhibiting EGFR and RAF, leading to G1 phase cell cycle arrest. These findings indicate that 6-gingerol promotes cell death in GBM cells by modulating MnSOD and ROS levels and arresting the cell cycle through the ERFR-RAF-1/MEK/ ERK signaling pathway, highlighting its potential as a therapeutic agent for GBM and setting the stage for future clinical research.
6.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.
7.Relationship between physical activity and sarcopenia among elderly people in ten provinces (autonomous regions) of China, 2022—2023
Yuchen WANG ; Huijun WANG ; Yuna HE ; Chang SU ; Jiguo ZHANG ; Wenwen DU ; Xiaofang JIA ; Feifei HUANG ; Li LI ; Jing BAI ; Yanli WEI ; Xiaofan ZHANG ; Fangxu GUAN ; Yifei OUYANG
Journal of Environmental and Occupational Medicine 2025;42(6):661-667
Background The decline of physical activity in the elderly due to aging may increase the risk of sarcopenia. Currently, there is a lack of evidence from large natural populations on the relationship between PA and sarcopenia. Objective To explore the relationship between PA and sarcopenia in the elderly aged 60 years and above in 10 provinces (autonomous regions) of China. Methods Data were retrieved from the 2022—2023 round of the China Development and Nutrition Health Impact Cohort. Personal basic information and PA data were collected by questionnaire survey. Skeletal muscle mass was measured by bio-electrical impedance analysis, muscle strength was measured using a grip dynamometer, and physical performance was reflected by 6-meter walk speed. The Asian Working Group for Sarcopenia (AWGS) 2019 criteria were used to diagnose sarcopenia. Light physical activity (LPA) duration, moderate-to-vigorous physical activity (MVPA) duration, and total physical activity volume were calculated. A total of
8.Association between obesity and dyslipidemia among rural primary and middle school students in Students Nutrition Improvement Program Areas of Zhejiang Province
ZHAO Dong, HUANG Lichun, SU Danting, GU Wei, HAN Dan, ZHANG Ronghua
Chinese Journal of School Health 2024;45(3):414-418
Objective:
The study aimed to analyze the association between different types of obesity and dyslipidemia among rural primary and middle school students in Zhejiang Province, so as to inform strategies for prevention and control of childhood obesity and hyperlipidemia.
Methods:
As part of Nutrition Improvement Programme for Rural Compulsory Education Students, 1 244 participants were selected by stratified cluster random sampling in 5 counties of Zhejiang Province during September to December 2021. Physical examination, detection of blood lipid and questionnaire survey were conducted. The Chi -square test and Logistic regression analyses were used to assess the association between different types of obesity and dyslipidemia.
Results:
The prevalence rates of overweight, obesity, abdominal obesity, and hyperlipidemia were 15.11%, 12.46%, 17.60%, and 21.78%. Obesity and abdominal obesity were correlated to high risk of high triglycerides ( OR =3.97, 95% CI =2.54-6.20; OR =4.45, 95% CI =2.95- 6.72 )( P <0.05). Compared with the non overweight and obese group with normal waist circumference,the overweight and obesity group were correlated to high risk of high cholesterol ( OR=2.53, 95%CI =1.45-4.42, P <0.05). Abdominal overweight or obese group had the highest risk for dyslipidemia and triglycerides ( OR =1.82, 95% CI =1.33-2.48; OR =3.64, 95% CI =2.45-5.43) ( P < 0.05).
Conclusions
The prevalence rates of overweight, obesity, abdominal obesity, and hyperlipidemia are relatively high in rural primary and middle school students of Nutrition Improvement Programme for Rural Compulsory Education Students in Zhejiang Province. Abdominal obesity is a more important risk factor for hyperlipidemia. Waist circumference should be the focus of considerable attention.
9.Clinical characteristics of COVID-19 infection in patients undergoing hemodialysis
Jinrong ZHU ; Yana ZHAO ; Wei HUANG ; Weiwei ZHAO ; Yue WANG ; Song WANG ; Chunyan SU
Journal of Peking University(Health Sciences) 2024;56(2):267-272
Objective:To analyze the clinical characteristics of hemodialysis patients with corona virus disease 2019(COVID-19)in a single-center from Beijing.Methods:Patients with COVID-19 who re-ceived regular hemodialysis at Peking University Third Hospital from November 30,2022 to January 4,2023 were selected as the study objects.Clinical symptoms,severity and duration of symptoms during the period of virus positive were investigated in the form of questionnaires,and the basic information of the patients,as well as the results of blood tests(routine blood and blood biochemistry,etc.)before and af-ter infection,dialysis treatment and the outcome of the disease were collected by consulting medical re-cords.Results:A total of 203 subjects were included in this study,including 148 mild cases(72.91%),23 medium cases(11.33%),32 severe and critical cases(15.76%),and 16(7.88%)deaths occured during the follow-up.Clinical symptoms mainly included respiratory symptoms(among which 81.77%had cough,68.97%had expectoration),fever(81.28%)and fatigue(65.52%),and fatigue and weakness had the longest duration[9(5,15)days]among all symptoms.Twenty-six patients(12.8%)reduced the dialysis sessions[1(1,2)times],25 patients(12.32%)had the behavior of early finishing dialysis(27 times),reducing the dialysis time by 30.0(20.0,30.5)minutes.Univa-riate analysis showed that the hemoglobin,creatinine,urea nitrogen and ultrafiltration decreased signi-ficantly after infection(P<0.05).There were significant differences in age,albumin,hemoglobin,creatinine levels and vascular access types among the patients with different clinical subtypes,and the changes of dialysis sessions,fever,expectoration and fatigue degree were also different among the patients with different clinical subtypes(P<0.05).Multivariate Logistic regression analysis showed that age(OR=1.051,95%CI:1.017-1.086,P=0.003)and albumin levels(OR=0.905,95%CI:0.803-1.019,P=0.098)corrected by fever,expectoration and fatigue levels were still associated with the oc-currence of pneumonia.Conclusion:The morbidity of pneumonia and the proportion of deaths in hemo-dialysis patients with COVID-19 were higher,and some clinical symptoms lasted for a longer time than the general population.During the infection period,the incidence of dialysis-related complications in-creased,hemoglobin and nutritional status decreased.Elderly patients and patients with low albumin level had a higher risk of developing pneumonia after infection.
10.Expert consensus on cryoablation therapy of oral mucosal melanoma
Guoxin REN ; Moyi SUN ; Zhangui TANG ; Longjiang LI ; Jian MENG ; Zhijun SUN ; Shaoyan LIU ; Yue HE ; Wei SHANG ; Gang LI ; Jie ZHNAG ; Heming WU ; Yi LI ; Shaohui HUANG ; Shizhou ZHANG ; Zhongcheng GONG ; Jun WANG ; Anxun WANG ; Zhiyong LI ; Zhiquan HUNAG ; Tong SU ; Jichen LI ; Kai YANG ; Weizhong LI ; Weihong XIE ; Qing XI ; Ke ZHAO ; Yunze XUAN ; Li HUANG ; Chuanzheng SUN ; Bing HAN ; Yanping CHEN ; Wenge CHEN ; Yunteng WU ; Dongliang WEI ; Wei GUO
Journal of Practical Stomatology 2024;40(2):149-155
Cryoablation therapy with explicit anti-tumor mechanisms and histopathological manifestations has a long history.A large number of clinical practice has shown that cryoablation therapy is safe and effective,making it an ideal tumor treatment method in theory.Previously,its efficacy and clinical application were constrained by the limitations of refrigerants and refrigeration equipment.With the development of the new generation of cryoablation equipment represented by argon helium knives,significant progress has been made in refrigeration efficien-cy,ablation range,and precise temperature measurement,greatly promoting the progression of tumor cryoablation technology.This consensus systematically summarizes the mechanism of cryoablation technology,indications for oral mucosal melanoma(OMM)cryotherapy,clinical treatment process,adverse reactions and management,cryotherapy combination therapy,etc.,aiming to provide reference for carrying out the standardized cryoablation therapy of OMM.


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