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Angiogenesis in hepatocellular carcinoma:mechanisms and anti-angiogenic therapies 被引量:3
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作者 Changyu Yao Shilun Wu +6 位作者 Jian Kong Yiwen Sun Yannan Bai Ruhang Zhu Zhuxin Li Wenbing Sun Lemin Zheng 《Cancer Biology & Medicine》 SCIE CAS CSCD 2023年第1期25-43,共19页
Hepatocellular carcinoma(HCC)is the fourth leading cause of cancer-associated death worldwide.Angiogenesis,the process of formation of new blood vessels,is required for cancer cells to obtain nutrients and oxygen.HCC ... Hepatocellular carcinoma(HCC)is the fourth leading cause of cancer-associated death worldwide.Angiogenesis,the process of formation of new blood vessels,is required for cancer cells to obtain nutrients and oxygen.HCC is a typical hypervascular solid tumor with an aberrant vascular network and angiogenesis that contribute to its growth,progression,invasion,and metastasis.Current anti-angiogenic therapies target mainly tyrosine kinases,vascular endothelial growth factor receptor(VEGFR),and plateletderived growth factor receptor(PDGFR),and are considered effective strategies for HCC,particularly advanced HCC.However,because the survival benefits conferred by these anti-angiogenic therapies are modest,new anti-angiogenic targets must be identified.Several recent studies have determined the underlying molecular mechanisms,including pro-angiogenic factors secreted by HCC cells,the tumor microenvironment,and cancer stem cells.In this review,we summarize the roles of pro-angiogenic factors;the involvement of endothelial cells,hepatic stellate cells,tumor-associated macrophages,and tumor-associated neutrophils present in the tumor microenvironment;and the regulatory influence of cancer stem cells on angiogenesis in HCC.Furthermore,we discuss some of the clinically approved anti-angiogenic therapies and potential novel therapeutic targets for angiogenesis in HCC.A better understanding of the mechanisms underlying angiogenesis may lead to the development of more optimized anti-angiogenic treatment modalities for HCC. 展开更多
关键词 ANGIOGENESIS hepatocellular carcinoma pro-angiogenic factors tumor microenvironment anti-angiogenic therapy
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The mechanism and therapy of aortic aneurysms 被引量:1
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作者 Jianing Gao Huanhuan Cao +5 位作者 Gaofei Hu Yufei Wu Yangkai Xu Hongtu Cui Hong S.Lu Lemin Zheng 《Signal Transduction and Targeted Therapy》 SCIE CSCD 2023年第3期963-982,共20页
Aortic aneurysm is a chronic aortic disease affected by many factors.Although it is generally asymptomatic,it poses a significant threat to human life due to a high risk of rupture.Because of its strong concealment,it... Aortic aneurysm is a chronic aortic disease affected by many factors.Although it is generally asymptomatic,it poses a significant threat to human life due to a high risk of rupture.Because of its strong concealment,it is difficult to diagnose the disease in the early stage.At present,there are no effective drugs for the treatment of aneurysms.Surgical intervention and endovascular treatment are the only therapies.Although current studies have discovered that inflammatory responses as well as the production and activation of various proteases promote aortic aneurysm,the specific mechanisms remain unclear.Researchers are further exploring the pathogenesis of aneurysms to find new targets for diagnosis and treatment.To better understand aortic aneurysm,this review elaborates on the discovery history of aortic aneurysm,main classification and clinical manifestations,related molecular mechanisms,clinical cohort studies and animal models,with the ultimate goal of providing insights into the treatment of this devastating disease.The underlying problem with aneurysm disease is weakening of the aortic wall,leading to progressive dilation.If not treated in time,the aortic aneurysm eventually ruptures.An aortic aneurysm is a local enlargement of an artery caused by a weakening of the aortic wall.The disease is usually asymptomatic but leads to high mortality due to the risk of artery rupture. 展开更多
关键词 AORTIC DIAGNOSIS DRUGS treatment
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Polarity-activated super-resolution imaging probe for the formation and morphology of amyloid fibrils
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作者 Zheng Lv Li Li +6 位作者 Zhongwei Man Zhenzhen Xu Hongtu Cui Rui Zhan Qihua He Lemin Zheng Hongbing Fu 《Nano Research》 SCIE EI CAS CSCD 2020年第9期2556-2563,共8页
The formation of amyloid plaques usually occurs in the early-stage of Alzheimer’s disease(AD).Stimulated emission depletion(STED)imaging provided a powerful tool for visualizing amyloid structures on the nanometer sc... The formation of amyloid plaques usually occurs in the early-stage of Alzheimer’s disease(AD).Stimulated emission depletion(STED)imaging provided a powerful tool for visualizing amyloid structures on the nanometer scale.However,many commercial probes adopted in detecting amyloid fibrils are inapplicable to STED imaging,owing to their unmatched absorption and emission wavelengths,small Stokes'shift,easy photo-bleaching,etc.Herein,we demonstrated a polarity-activated STED probe based on an intramolecular charge transfer donor(D)-7c-acceptor(A)compound.The electron-rich carbazole group and the electron-poor pyridinium bromide group,linked by 7i-conjugated thiophen-bridge,ensure strong near infrared(NIR)emission with a Stokes'shift larger than 200 nm.The tiny change in polarity before and after binding with amyloid plaques leads to a transition from weakly emission charge-transfer(CT)state(Φ<0.04)to highly emissive locally-excited(LE)state(Φ=0.57),giving rise to a fluorescence Turn-On probe.Together with large Stokes'shift,good photostability and high depletion efficiency,the super-resolution imaging of the formation and morphology of amyloid fibrils in vitro based on this probe was realized with a lateral spatial resolution better than 33 nm at an extremely low depletion power.Moreover,the ex-vivo super-resolution imaging of(E)-1-butyl-4(2-(5-(9-ethyl-9Hcarbazol-3-yl)thiophen-2-yl)vinyl)pyridinium bromide(CTPB)probe in Aβ plaques in the brain slices of a Tg mouse was demonstrated.This research provides a demonstration of the super resolution imaging probe of amyloid fibrils based on polarity-response mechanism,providing a new approach to the development of future amyloid probes. 展开更多
关键词 polarity-activated amyloid fibrils super-resolution imaging charge transfer near infrared(NIR)emission
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Trimethylamine-N-oxide is an important target for heart and brain diseases
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作者 Shusi Ding Jing Xue +1 位作者 Qi Zhang Lemin Zheng 《Medical Review》 2022年第4期321-323,共3页
Trimethylamine-N-oxide(TMAO)is a metabolite produced from dietary nutrients by the gut microbiome,which was first discovered in 2011 and used to predict the risk of car-diovascular disease[1].The precursors of TMAO,in... Trimethylamine-N-oxide(TMAO)is a metabolite produced from dietary nutrients by the gut microbiome,which was first discovered in 2011 and used to predict the risk of car-diovascular disease[1].The precursors of TMAO,including phosphatidylcholine[1],choline[2],and L-carnitine[3],are commonly found in cheese,red meat,seafood,egg yolks,and other foods.To date,four different microbial enzyme systems have been identified that can convert precursor substances into trimethylamine(TMA),including choline-TMA lyase(cutC/D)[4],carnitine monooxygenase(cntA/B)[5],betaine reductase,and TMAO reductase[6].In addition,yeaW/X,which is homologous to cntA/B and can utilize a variety of substrates such as choline,betaine,carnitine andγ-butyr-obetaine,can also promote the synthesis of TMA.The coop-eration between yeaW/X and cutC/D was the most well studied[7]. 展开更多
关键词 utilize CONVERT SYNTHESIS
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中国人群颅内动脉瘤不稳定性的标志物及风险分层模型
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作者 刘清源 李科 +10 位作者 贺红卫 苗增利 崔宏图 吴俊 丁曙思 文铮 陈吉元 鲁晓杰 李江安 郑乐民 王硕 《Science Bulletin》 SCIE EI CAS CSCD 2023年第11期1162-1175,M0004,共15页
评估颅内动脉瘤的不稳定风险(破裂和生长风险)对于指导未破裂颅内动脉瘤(UIA)的治疗决策具有重要意义.本研究自2017年1月-2022年1月前瞻性地纳入了UIA患者,进行了2年的随访,并进一步分为发掘队列和验证队列,主要终点事件是UIA的不稳定事... 评估颅内动脉瘤的不稳定风险(破裂和生长风险)对于指导未破裂颅内动脉瘤(UIA)的治疗决策具有重要意义.本研究自2017年1月-2022年1月前瞻性地纳入了UIA患者,进行了2年的随访,并进一步分为发掘队列和验证队列,主要终点事件是UIA的不稳定事件,定义为在随访期内,动脉瘤出现破裂、大小生长或者形态学改变.基于758个UIA患者的发掘队列,联合影像特点和多组学分析,发现大小指数、形态不规则、油酸、花生四烯酸、白细胞介素-1β(IL-1β)和肿瘤坏死因子-α(TNF-α)是UIA出现不稳定事件的危险因素.进一步分析显示,组织中和血清中油酸和花生四烯酸的表达水平有一致性趋势.运用机器学习算法,本研究构建了不稳定分类器,并能较好地识别发掘队列中的不稳定UIA(曲线下面积(AUC)为0.94).在含492个UIA患者的验证队列中,该分类器也能很好地识别不稳定UIA(AUC为0.89).基于大鼠颅内动脉瘤模型,发现干预油酸、IL-1β和TNF-α能预防UIA破裂.本研究基于中国人群揭示了UIA不稳定风险的标志物,并提供了一个风险分层模型,有望指导UIA的临床决策. 展开更多
关键词 分层模型 机器学习算法 临床决策 花生四烯酸 颅内动脉瘤 标志物 不稳定性 形态学改变
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