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.Genetic evolution,drug resistance,and biofilm formation capacity of E.coli O157:H7 from different animal sources in Xinjiang
Yan WANG ; Ling ZHANG ; Yifan LIU ; Wanpeng MA ; Tian QIN ; Wei WANG ; Zhanqiang SU
Chinese Journal of Veterinary Science 2025;45(4):685-692
Different animals in Xinjiang carry Escherichia coli O157:H7(E.coli O157:H7),but the connection between these strains is not clear.This study aims to understand the evolutionary sub-group of E.coli O157:H7,the distribution of the dominant genetic lineage,the biofilm formation ability,the carriage of mobile genetic elements and their drug resistance profile.E.coli O157:H7 was identified by PCR.Multilocus sequence typing(MLST)protocol was used for E.coli O157 to detect ST type,plasmid replicon and integron genes.Biofilm formation ability was determined by crystal violet microplate,and Kirby-Bauer was used to detect drug resistance.The results showed that 46.7%(7/15)of E.coli O157:H7 belongs to Group A,53.3%(8/15)of E.coli O157:H7 be-longs to Group E.Sheep source were mainly prevalent in Group A(4/6).Cattle sources are mainly Group E(6/7).A total of six ST types were detected:ST11(8/15),ST-206(1/15),ST-6126(3/15),ST-1640(1/15),ST-178(1/15),ST-4550(1/15).Two strains had a moderate biofilm-form-ing capacity,two strains had a weak biofilm-forming capacity,10 strains have no biofilm-forming capacity.All were multidrug-resistant strains,with complete resistance to lincomycin,oxacillin,clindamycin,vancomycin,midemycin and cefthiophene,and 88%-94%resistance to poly-myxin B,ampicillin,penicillin G and erythromycin,they are highly drug resistant.The five resist-ance genes detected were acrA(66.66%,10/15),tolC(73.33%,11/15),qurS(13.33%,2/15),floR and qurA(6.67%,1/15).Four plasm id replicons were detected,they were IncP(66.66%,10/15),IncFrepB(86.67%,13/15),IncFIA(6.67%,1/15),IncFIB(66.66%,10/15).Two class Ⅰ integrons were detected and they were ISCR1(33.33%,5/15),ISECP1(20%,3/15).The re-sults showed that E.coli O157:H7 in Xinjiang was predominantly prevalent in Group A and Group E.Sheep sources were predominantly prevalent in Group A,and cattle sources were predominantly prevalent in Group E.The ST types were widely distributed,with ST11 types being the predomi-nant type,the biofilm-forming ability was weak,and the resistance was strong,all of them were multi-drug-resistant strains,and the resistance genes were mainly externally excreted from the pumps,and the resistance genes had more spreading elements.
3.The synergistic effect and mechanism verification of effective components of Biejia-Ezhu against triple-negative breast cancer based on network pharmacology and component compatibility theory
Dou-dou FENG ; Xiao-shan LUO ; Yan-yun MENG ; Jing-zhe ZHAO ; Jiu-long ZHU ; Ya-zhen HUANG ; Qing XIE ; Xiang-Li LING ; Su XIE
Chinese Pharmacological Bulletin 2025;41(5):950-959
Aim To explore the compatibility and po-tential mechanism of effective components of Biejia-Ezhu against triple negative breast cancer(TNBC)and verify it by experiments.Methods Effective compo-nents and targets of Biejia-Ezhu were obtained by TC-MSP and Swiss Target Prediction.Disease targets of TNBC were obtained from OMMI and GeneCards data-bases.The PPI network was constructed using STRING database.GO and KEGG path enrichment analysis was performed using DAVID database.Cytoscape3.9.1 software was used to construct the"drug-component-target-disease"network,screen key targets and compo-nents for molecular docking,and further verify the com-patibility of key components and targets in vitro.Re-sults ① A total of 71 effective components were iden-tified in the Biejia-Ezhu drug pair.There were 146 drug targets associated with the disease.A total of 113 signaling pathways were identified by KEGG analysis.The 71 potential active components of Biejia-Ezhu mainly acted on key targets such as mTORC1,ULK1,TNF,EGFR,ESR1,STAT3,HIF1A,and PTGS2.Mo-lecular docking results showed that glycine and curcu-min were the key active components of Biejia-Ezhu,and both had strong docking activity against key target proteins mTORC1 and ULK1.②The results of in vitro experiment showed that glycine combined with curcu-min significantly inhibited the proliferation and clonal formation ability of TNBC cells(P<0.05),up-regula-ted the expression of autophagy marker LC3 Ⅱ/Ⅰ,down-regulated the expression of EGFR,down-regula-ted the expression of pathway protein mTORC1,p-mTOR,p-ULK1,and promoted the expression of path-way protein ULK1(P<0.05).Conclusion The key component of Biejia-Ezhu against triple-negative breast cancer is glycine-curcumin,the mechanism of which may be related to the regulation of the mTORC1/ULK1 signaling pathway to promote autophagy.
4.Chemical constituents from Inula japonica and their anti-asthmatic activity
Yan ZHANG ; Yan-rong GUO ; Su-ping YU ; Shu-ling WANG ; Xiao-song CHEN ; Yu-xia HAN ; Ming-hao PENG
Chinese Traditional Patent Medicine 2025;47(10):3283-3289
AIM To study the chemical constituents from Inula japonica Thunb.and their anti-asthmatic activity.METHODS Separation and purification were performed using silica gel and Sephadex LH-20,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The effect of compounds on the release rate of β-Hex was evaluated by substrate coloration method.RESULTS Twenty-three compounds were isolated and identified as dehydrodontic acid(1),vitexin(2),alternariol(3),globuxanthone(4),1,3,6,7-tetrahydroxyxanthone(5),hydroxyhydrolapachol(6),isoscopoletin(7),elephanmollen(8),benzoylcholine(9),hoconobiflavone(10),clovandiol(11),hydroxydihydrobovolide(12),5,7-dihydroxycoumarin(13),scopoletin(14),orlichenol glucoside(15),urolignoside(16),9-angeloyloxythymol(17),6,3′,4′-trihydroxyaurone(18),flufuran(19),sweroside(20),guajadial(21),5,7,4′-trimethoxy-4-phenylcoumarin(22),dibutylphthalate(23).After intervention with compounds 9 and 16,the release rates of β-Hex were(56.64±2.37)%and(58.07±2.29)%,respectively.CONCLUSION Compounds 1-23 are isolated from Ⅰ.japonica for the first time.Compounds 9 and 16 have anti-asthmatic activity.
5.Oroxylin A induces apoptosis in Ishikawa cell line of endometrial cancer via PI3K/AKT signaling pathway
Huan-huan ZHAO ; Yu-qian JIAO ; Ruo-qi QIAO ; Xue BAI ; Na WANG ; Yun-jie TIAN ; Wen-ling FAN ; Li LI ; Su-wen SU ; Yan FU ; Hui ZHANG ; Hong-fang YANG
Chinese Pharmacological Bulletin 2025;41(3):555-560
Aim To investigate the effect of oroxylin A(OA)on apoptosis in Ishikawa cell line of endometrial cancer and the underlying mechanism through the phosphatidylinositol-3 kinase/protein kinase B(PI3K/AKT)signaling pathway.Methods Ishikawa cells were treated with different concentrations of OA(0,4,8,10,12,and 20 μmol·L-1)for 24 h-72 h,the cell viability was detected by CCK-8 assay,apoptosis was detected by flow cytometry,and the protein ex-pression levels of B-cell lymphoma-2(Bcl-2),Bcl-2-associated X protein(Bax),PI3K/AKT,recombinant cytochrome P450 1B1(CYP1B1),and catechol-O-methyltransferase(COMT)were detected by Western blot technique.Results OA inhibited the prolifera-tion of Ishikawa cells in a concentration-and time-de-pendent manner.Compared with the blank control group,the expression of Bax protein increased signifi-cantly,while the expression of Bcl-2 protein decreased significantly with the increase of OA concentration.The expression of COMT protein increased significant-ly,while the expression of CYP1B1 protein decreased significantly.PI3K/AKT:IGF-1(PI3 K agonist)sup-plementation reversed the effect,the expression of COMT protein significantly decreased,and the expres-sion of CYP1B1 protein significantly increased.Con-clusions OA exerts anti-tumor effects in Ishikawa cells of endometrial cancer,which may be related to cell apoptosis mediated by the inhibition of the PI3K/AKT signaling pathway.
6.Formulation and Analysis of the Standard for Medication Error Management
Su SU ; Jin LU ; Ling TAN ; Feng QIU ; Jiancun ZHEN ; Suying YAN
Herald of Medicine 2025;44(3):392-395
To standardize the management of medication errors in medical institutions,the Pharmaceutical Specialized Committee of the Chinese Hospital Association led the formulation of the Pharmacy Management—Adverse Drug Reaction Manage-ment—Medication Error Management.The formulation process referred to national regulations,policies,books,and consensus on medication error management.This article described the development process of this standard and provided an in-depth analysis of its key contents.It aimed to guide and inform medical institutions,helping them thoroughly understand and master the requirements for medication error management.The article enhanced the management of medication errors and ensured the safety and effective-ness of medication.
7.Association between long-term total sleep duration and physical activity trajectories and cardiovascular diseases among middle-aged and older adults: a 9-year longitudinal study.
Yan LI ; Ya-Ling HUANG ; Hai-Rou SU ; Gui-Bing WU ; Zhi-Xin ZHU
Journal of Geriatric Cardiology 2025;22(7):625-637
BACKGROUND:
It remains unclear whether sleep duration and physical activity (PA) trajectories in middle-aged and older adults are associated with different risks of cardiovascular diseases (CVDs). This study aimed to explore the trajectories of total sleep duration and PA among middle-aged and older Chinese adults and their impact on CVD risk.
METHODS:
This study was based on the China Health and Retirement Longitudinal Study. 12009 adults aged 45 years and older from five waves were included. CVD events were measured by self-reports of heart disease and stroke. We first used group-based trajectory modeling to identify total sleep duration and PA trajectories from 2011 to 2020, and then employed logistic regression models to analyze their risk for CVD.
RESULTS:
We identified three sleep duration and PA trajectories. The risk of heart disease increased by 33% (OR = 1.31, 95% CI: 1.12-1.53) for the short sleep duration trajectory (vs. moderate sleep duration trajectory), by 40% (OR = 1.40, 95% CI: 1.06-1.84) for the high decreasing PA trajectory, and by 20% (OR = 1.20, 95% CI: 1.01-1.42) for the low stable PA trajectory (vs. high stable PA trajectory), respectively. Similar results for stroke and CVD as the outcomes were also observed, but the higher risk of stroke in the high decreasing PA trajectory group was not statistically significant. The joint effects of sleep and PA showed lower risks of heart disease and stroke in trajectories with moderate or long sleep duration and high stable PA compared with short sleep duration and a low stable PA trajectory.
CONCLUSIONS
Short total sleep duration, high decreasing PA, and low stable PA trajectories could increase the risk of CVDs among middle-aged and older adults. Long-term moderate to long total sleep durations and high stable PA trajectories might be optimal for preventing CVDs.
8.Colon Dialysis with Yishen Decoction Improves Autophagy Disorder in Intestinal Mucosal Epithelial Cells of Chronic Renal Failure by Regulating SIRT1 Pathway.
Yan-Jun FAN ; Jing-Ai FANG ; Su-Fen LI ; Ting LIU ; Wen-Yuan LIU ; Ya-Ling HU ; Rui-Hua WANG ; Hui LI ; Da-Lin SUN ; Guang ZHANG ; Zi-Yuan ZHANG
Chinese journal of integrative medicine 2025;31(10):899-907
OBJECTIVE:
To explore the mechanism of colon dialysis with Yishen Decoction (YS) in improving the autophagy disorder of intestinal epithelial cells in chronic renal failure (CRF) in vivo and in vitro.
METHODS:
Thirty male SD rats were randomly divided into normal, CRF, and colonic dialysis with YS groups by a random number table method (n=10). The CRF model was established by orally gavage of adenine 200 mg/(kg•d) for 4 weeks. CRF rats in the YS group were treated with colonic dialysis using YS 20 g/(kg•d) for 14 consecutive days. The serum creatinine (SCr) and urea nitrogen (BUN) levels were detected by enzyme-linked immunosorbent assay. Pathological changes of kidney and colon tissues were observed by hematoxylin and eosin staining. Autophagosome changes in colonic epithelial cells was observed with electron microscopy. In vitro experiments, human colon cancer epithelial cells (T84) were cultured and divided into normal, urea model (74U), YS colon dialysis, autophagy activator rapamycin (Ra), autophagy inhibitor 3-methyladenine (3-MA), and SIRT1 activator resveratrol (Re) groups. RT-PCR and Western blot were used to detect the mRNA and protein expressions of zonula occludens-1 (ZO-1), Claudin-1, silent information regulator sirtuin 1 (SIRT1), LC3, and Beclin-1 both in vitro and in vivo.
RESULTS:
Colonic dialysis with YS decreased SCr and BUN levels in CRF rats (P<0.05), and alleviated the pathological changes of renal and colon tissues. Expressions of SIRT1, ZO-1, Claudin-1, Beclin-1, and LC3II/I were increased in the YS group compared with the CRF group in vivo (P<0.05). In in vitro study, compared with normal group, the expressions of SIRT1, ZO-1, and Claudin-1 were decreased, and expressions of Beclin-1, and LC3II/I were increased in the 74U group (P<0.05). Compared with the 74U group, expressions of SIRT1, ZO-1, and Claudin-1 were increased, whereas Beclin-1, and LC3II/I were decreased in the YS group (P<0.05). The treatment of 3-MA and rapamycin regulated autophagy and the expression of SIRT1. SIRT1 activator intervention up-regulated autophagy as well as the expressions of ZO-1 and Claudin-1 compared with the 74U group (P<0.05).
CONCLUSION
Colonic dialysis with YS could improve autophagy disorder and repair CRF intestinal mucosal barrier injury by regulating SIRT1 expression in intestinal epithelial cells.
Animals
;
Sirtuin 1/metabolism*
;
Drugs, Chinese Herbal/therapeutic use*
;
Autophagy/drug effects*
;
Male
;
Intestinal Mucosa/drug effects*
;
Rats, Sprague-Dawley
;
Epithelial Cells/metabolism*
;
Colon/drug effects*
;
Humans
;
Kidney Failure, Chronic/drug therapy*
;
Signal Transduction/drug effects*
;
Renal Dialysis
;
Rats
;
Kidney/drug effects*
9.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.
10.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.

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