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| 1 | Functional analysis of a novel C-glycosyltransferase in the orchid Dendrobium catenatum显示文摘Flavonoids,which are a diverse class of phytonutrients,are used by organisms to respond to nearly all abiotic stresses and are beneficial for human health.Glycosyltransferase,used during the last step of flavonoid biosynthesis,is important in flavonoid enrichment.However,little is known about glycosyltransferase in the orchid Dendrobium catenatum(D.officinale).In this study,we isolated a novel C-glycosyltransferase(designated DcaCGT)from the orchid D.catenatum by identifying and analyzing 82 putative genes in the GT1 family.DcaCGT could specifically catalyze not only di-C-glycosylation but also O-glycosylation.Apart from the normal function of catalyzing 2-hydroxynaringenin and phloretin to the respective di-C-glycosides,DcaCGT also catalyzes apigenin to cosmosiin.Targeted metabolic profiling of the substrates(2-hydroxynaringenin,phloretin,and apigenin)and products(vitexin,isovitexin,vicenin-2,nothofagin,3’,5’-di-C-glucosylphloretin,and cosmosiin)in different tissues showed that vicenin-2 was the most abundant product of this novel enzyme.Cosmosiin was detected in flowers and flower buds.We also established that DcaCGT functions expanded throughout the evolution of D.catenatum.Residual OGT activity may help D.catenatum resist drought stress.Our study illustrates the function,origin,and differentiation of DcaCGT and provides insights into glycosylation and molecular propagation processes,which can be used to improve the production of flavonoids by the cultivated medicinal plant D.catenatum. | Zhiyao Ren Xiaoyu Ji Zhenbin Jiao Yingyi Luo Guo-Qiang Zhang Shengchang Tao Zhouxi Lei Jing Zhang Yuchen Wang Zhong-Jian Liu Gang Wei | 2020 | Horticulture Research2020，7，1： | 5 |
| 2 | Optimal VAR control considering wind farms using probabilistic load-flow and gray based genetic algorithms显示文摘 | HONG Yingyi LUO Yifeng | 2009 | IEEE Trans on Power Delivery2009，24，3： | 1 |
| 3 | Risk factors of peripheral arterial disease and relationship between low ankle-brachial index and mortality from all-cause and cardiovascular disease in chinese patients with type 2 diabetes显示文摘 | Jue Li Yingyi Luo Yawei Xu | 2007 | Circulation Journal2007，71，： | 1 |
| 4 | The Association between Ankle-Brachial Index and Cardiovascular or All-Cause Mortality in Metabolic Syndrome of Elderly Chinese显示文摘 | Yuanxi XU Jue LI Yingyi LUO | 2007 | Hypertens Res2007，30，： | 1 |
| 5 | Optimal VAR control considering wind farms using probabilistic load-flow and gray-based genetic algorithms显示文摘 | HONG Yingyi LUO Yifeng | | 0，，03： | 1 |
| 6 | Optimal VAR control considering wind farms using probabilistic load-flow and gray-based genetic algorithms 显示文摘 | Hong Yingyi Luo Yifeng | 2009 | Transactions Power Delivery2009，24，3： | 1 |
| 7 | Optimal VAR control considering wind farms using probabilistic load-flow and gray-based genetic algorithms显示文摘 | HONG Yingyi LUO Yifeng | 2009 | IEEE Transactions on Power Delivery2009，24，3： | 1 |
| 8 | The association between ankle-brachial index and cardiovascular or all-cause mortality in metabolic syndrome of elderly chinese显示文摘 | Yuanxi XU Jue LI Yingyi LUO | 2007 | Hypertens Res2007，30，7： | 1 |
| 9 | Elevated serum uric acid level as a predictor for cardiovascu-lar and all-cause mortality in Chinese patients with high cardiovascular risk显示文摘Objective To assess the predictive value of serum uric acid levels for cardiovascular and all-cause mortality in a large prospective population based study.Methods The study was based on 3648 participants in Shanghai and Beijing,who were inpatients with high cardiovascular(CV) risk at baseLine (2004.7 to 2005.1),and blood was taken.Follow-up for death from cardiovascular disease and any cause was complete until January 1,2006.Results The mean follow-up was 1 years.There were 303 deaths during follow-up,of which 121 were cardiovascular.Crude mortality rates were 8.3 % for all patients,6.8% for female patients (116/1715),and 9.7% (187/1933) for male patients.Among men,patients in the lower and higher uric acid groups had increased cardiac and overall mortality risks compared with patients in the normal uric acid groups.Similar relation was found in women but not statistically significant.After adjusting for other conventional risk factors (age,diabetes,hypertension,diuretic use and smoking),baseline uric acid level was still associated with increased risk for death from cardiovascular disease (P=0.005),or death from all causes (P=0.014) Conclusion Our data suggest that abnormal serum uric acid levels are independently and significantly associated with risk of cardiovascular and all-cause mortality.(J Geriatr Cardiol 2008;5:15-20) | Yongquan Wu Meijing Li Jue Li Yingyi Luo Yan Xing Dayi Hu | 2008 | Journal of Geriatric Cardiology2008，5，1： | 0 |
| 10 | DNA methylation markers in the diagnosis and prognosis of common leukemias显示文摘The ability to identify a specific type of leukemia using minimally invasive biopsies holds great promise to improve the diagnosis,treatment selection,and prognosis prediction of patients.Using genome-wide methylation profiling and machine learning methods,we investigated the utility of CpG methylation status to differentiate blood from patients with acute lymphocytic leukemia(ALL)or acute myelogenous leukemia(AML)from normal blood.We established a CpG methylation panel that can distinguish ALL and AML blood from normal blood as well as ALL blood from AML blood with high sensitivity and specificity.We then developed a methylation-based survival classifier with 23 CpGs for ALL and 20 CpGs for AML that could successfully divide patients into high-risk and low-risk groups,with significant differences in clinical outcome in each leukemia type.Together,these findings demonstrate that methylation profiles can be highly sensitive and specific in the accurate diagnosis of ALL and AML,with implications for the prediction of prognosis and treatment selection. | Hua Jiang Zhiying Ou Yingyi He Meixing Yu Shaoqing Wu Gen Li Jie Zhu Ru Zhang Jiayi Wang Lianghong Zheng Xiaohong Zhang Wenge Hao Liya He Xiaoqiong Gu Qingli Quan Edward Zhang Huiyan Luo Wei Wei Zhihuan Li Guangxi Zang Charlotte Zhang Tina Poon Daniel Zhang Ian Ziyar Run-ze Zhang Oulan Li Linhai Cheng Taylor Shimizu Xinping Cui Jian-kang Zhu Xin Sun Kang Zhang | 2020 | Signal Transduction and Targeted Therapy2020，5，1： | 0 |
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