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| 1 | Secondary prevention medication persistence and prognosis of acute ischaemic stroke or transient ischaemic attack显示文摘Introduction The risk of disability and mortality is high among recurrent stroke,which highlights the importance of secondary prevention measures.We aim to evaluate medication persistence for secondary prevention and the prognosis of acute ischaemic stroke or transient ischaemic attack(TIA)in China.Methods Patients with acute ischaemic stroke or TIA from the China National Stroke Registry II were divided into 3 groups based on the percentage of persistence in secondary prevention medication classes from discharge to 3 months after onset(level I:persistence=0%,level II:0% | Lei Zhang Junfeng Shi Yuesong Pan Zixiao Li Hongyi Yan Chelsea Liu Wei Lv Xia Meng Yongjun Wang | 2021 | Stroke & Vascular Neurology2021，6，3： | 3 |
| 2 | Characterization of gut microbiomes in nonalcoholic steatohepatitis (NASH) patients: A connection between endogenous alcohol and NASH显示文摘 | Lixin Zhu Susan S. Baker Chelsea Gill Wensheng Liu Razan Alkhouri Robert D. Baker Steven R. Gill | 2013 | Hepatology2013，，2： | 3 |
| 3 | Temporal trends and rural-urban disparities in cerebrovascular risk factors,in-hospital management and outcomes in ischaemic strokes in China from 2005 to 2015:a nationwide serial cross-sectional survey显示文摘Background Stroke is the leading cause of mortality in China,with limited evidence of in-hospital burden obtained from nationwide surveys.We aimed to monitor and track the temporal trends and rural-urban disparities in cerebrovascular risk factors,management and outcomes from 2005 to 2015.Methods We used a two-stage random sampling survey to create a nationally representative sample of patients admitted for ischaemic stroke in 2005,2010 and 2015.We sampled participating hospitals with an economic-geographical region-stratified random-sampling approach first and then obtained patients with a systematic sampling approach.We weighed our survey data to estimate the national-level results and assess changes from 2005 to 2015.Results We analysed 28277 ischaemic stroke admissions from 189 participating hospitals.From 2005 to 2015,the estimated national hospital admission rate for ischaemic stroke per 100000 people increased(from 75.9 to 402.7,Ptrend<0.001),and the prevalence of risk factors,including hypertension,diabetes,dyslipidaemia and current smoking,increased.The composite score of diagnostic tests for stroke aetiology assessment(from 0.22 to 0.36,Ptrend<0.001)and secondary prevention treatments(from 0.46 to 0.70,Ptrend<0.001)were improved.A temporal decrease was found in discharge against medical advice(DAMA)(from 15.2%(95%CI 13.7%to 16.7%)to 8.6%(8.1%to 9.0%);adjusted Ptrend=0.046),and decreases in in-hospital mortality(0.7%in 2015 vs 1.8%in 2005;adjusted OR(aOR)0.52;95%CI 0.32 to 0.85)and the composite outcome of in-hospital mortality or DAMA(8.4%in 2015 vs 13.9%in 2005;aOR 0.65;95%CI 0.47 to 0.89)were observed.Disparities between rural and urban hospitals narrowed;however,disparities persisted in in-hospital management(brain MRI:rural-urban difference from−14.4%to−11.2%;cerebrovascular assessment:from−20.3%to−16.7%;clopidogrel:from−2.1%to−10.3%;anticoagulant for atrial fibrillation:from−10.9%to−8.2%)and in-hospital outcomes(DAMA:from 2.7%to 5.0%;composite outcome of in-hospital mortality or DAMA:from 2.4%to 4.6%).Conclusions From 2005 to 2015,improvements in hospital admission and in-hospital management for ischaemic stroke in China were found.A temporal improvement in DAMA and improvements in in-hospital mortality and the composite outcome of in-hospital mortality or DAMA were observed.Disparities between rural and urban hospitals generally narrowed but persisted. | Chun-Juan Wang Hong-Qiu Gu Xin-Miao Zhang Yong Jiang Hao Li Janet Prvu Bettger Xia Meng Ke-Hui Dong Run-Qi Wangqin Xin Yang Meng Wang Chelsea Liu Li-Ping Liu Bei-Sha Tang Guo-Zhong Li Yu-Ming Xu Zhi-Yi He Yi Yang Winnie Yip Gregg C Fonarow Lee H Schwamm Ying Xian Xing-Quan Zhao Yi-Long Wang Yongjun Wang Zixiao Li | 2023 | Stroke & Vascular Neurology2023，8，1： | 0 |
| 4 | Machine Learning Modeling of Protein-intrinsic Features Predicts Tractability of Targeted Protein Degradation显示文摘Targeted protein degradation(TPD)has rapidly emerged as a therapeutic modality to eliminate previously undruggable proteins by repurposing the cell’s endogenous protein degradation machinery.However,the susceptibility of proteins for targeting by TPD approaches,termed“degradability”,is largely unknown.Here,we developed a machine learning model,model-free analysis of protein degradability(MAPD),to predict degradability from features intrinsic to protein targets.MAPD shows accurate performance in predicting kinases that are degradable by TPD compounds[with an area under the precision–recall curve(AUPRC)of 0.759 and an area under the receiver operating characteristic curve(AUROC)of 0.775]and is likely generalizable to independent non-kinase proteins.We found five features with statistical significance to achieve optimal prediction,with ubiquitination potential being the most predictive.By structural modeling,we found that E2-accessible ubiquitination sites,but not lysine residues in general,are particularly associated with kinase degradability.Finally,we extended MAPD predictions to the entire proteome to find964 disease-causing proteins(including proteins encoded by 278 cancer genes)that may be tractable to TPD drug development. | Wubing Zhang Shourya S.Roy Burman Jiaye Chen Katherine A.Donovan Yang Cao Chelsea Shu Boning Zhang Zexian Zeng Shengqing Gu Yi Zhang Dian Li Eric S.Fischer Collin Tokheim X.Shirley Liu | 2022 | Genomics, Proteomics & Bioinformatics2022，20，5： | 0 |
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