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| 1 | Exosomal S100A4 derived from highly metastatic hepatocellular carcinoma cells promotes metastasis by activating STAT3显示文摘Intercellular cross-talk plays important roles in cancer progression and metastasis.Yet how these cancer cells interact with each other is still largely unknown.Exosomes released by tumor cells have been proved to be effective cell-to-cell signal mediators.We explored the functional roles of exosomes in metastasis and the potential prognostic values for hepatocellular carcinoma(HCC).Exosomes were extracted from HCC cells of different metastatic potentials.The metastatic effects of exosomes derived from highly metastatic HCC cells(HMH)were evaluated both in vitro and in vivo.Exosomal proteins were identified with iTRAQ mass spectrum and verified in cell lines,xenograft tumor samples,and functional analyses.Exosomes released by HMH significantly enhanced the in vitro invasion and in vivo metastasis of low metastatic HCC cells(LMH).S100 calcium-binding protein A4(S100A4)was identified as a functional factor in exosomes derived from HMH.S100A4r,ch exosomes significantly promoted tumor metastasis both in vitro and in vivo compared with S100A4^(rich) exosomes or controls.Moreover,exosomal S100A4 could induce expression of osteopontin(OPN),along with other tumor metastasis/stemness-related genes.Exosomal S100A4 activated OPN transcription via STAT3 phosphorylation.HCC patients with high exosomal S100A4 in plasma also had a poorer prognosis.In conclusion,exosomes from HMH could promote the metastatic potential of LMH,and exosomal S100A4 is a key enhancer for HCC metastasis,activating STAT3 phosphorylation and up-regulating OPN expression.This suggested exosomal S100A4 to be a novel prognostic marker and therapeutic target for HCC metastasis. | Haoting Sun Chaoqun Wang Beiyuan Hu Xiaomei Gao Tiantian Zou Qin Luo Mo Chen Yan Fu Yuanyuan Sheng Kaili Zhang Yan Zheng Xudong Ren Shican Yan Yan Geng Luyu Yang Qiongzhu Dong Lunxiu Qin | 2021 | Signal Transduction and Targeted Therapy2021，6，6： | 1 |
| 2 | Urinary analysis based on surface-enhanced Raman scattering for the noninvasive screening of lung cancer显示文摘We developed a reliable simple analysis of adenosine,creatinine and other nucleosides(cytidine and guanosine)with single measurement based on surface-enhanced Raman spectroscopy(SERS)using DSP-AuNPs with Cu^(2+)ions probe and applied it to achieve noninvasive screening of lung cancer.The gold nanoparticles(AuNPs)were modified with 3,3′-dithiodipropionic acid di(N-hydroxysuccinimide ester)(DSP),which could react with above mentioned molecules followed with the aggregation of AuNPs at the presence of Cu^(2+),thus form the plasmonic hot spots to dramatically increase their fingerprint Raman signal.The probe of DSP-AuNPs was applied for the detail analysis of urinary adenosine of healthy people and lung cancer patients.The SERS measurement indicated a higher concentration of urinary adenosine for lung cancer patients than that of healthy people,which was consistent with the results measured by high-performance liquid chromatography(HPLC).In combination of Raman spectroscopy with the orthogonal partial least squares discriminant analysis(OPLS-DA)model,we are able to discriminate the lung cancer patients from healthy people with the urinary test.The results indicated that besides of adenosine,other metabolites including uric acid,guanine and creatinine may also be the potential tumor markers in urine for the noninvasive lung cancer diagnosis.Such a method paves a way for the noninvasive cancer screening and it can be further modified for the detection of other molecules on medical diagnosis. | Xueqian Ren Liping Huang Chengde Wang Yuancai Ge Kaili Zhang Danfeng Jiang Xiaohu Liu Qingwen Zhang Yi Wang | 2022 | Engineered Regeneration2022，3，4： | 0 |
| 3 | Recent Advances of Cu-Based Materials for Electrochemical Nitrate Reduction to Ammonia显示文摘The pollution of nitrate in groundwater has become an environmental problem of general concern due to adverse human and ecological impacts. Treatment of nitrate-rich wastewater is of significance yet challenging for the conventional biological denitrification processes. Electrocatalytic nitrate-to-ammonia conversion emerges as one of the most promising avenues to remove environmentally harmful nitrate from various types of wastewaters while simultaneously producing value-added ammonia. Cu-based materials show great advantages in promoting selective electroreduction of nitrate to ammonia in terms of high nitrate conversion efficiency, ammonia selectivity and ammonia faradaic efficiency thanks to the 3d transition metal structure, low cost, high reserves, and excellent catalytic performance of Cu. In this review, we comprehensively overview the most recent advances in selective electrocatalytic nitrate-to-ammonia conversion using Cu-based materials. Various kinds of Cu-based materials including monometallic Cu catalysts, bimetallic Cu-based catalysts, Cu-based compounds, and Cu-based inorganicorganic hybrid materials and their derivatives are discussed in detail with emphasis on their structural and compositional features and functional mechanisms in promoting nitrate-to-ammonia conversion. Finally, a brief discussion on future directions, challenges and opportunities in this field is also provided. | Tianlun Ren Youwei Sheng Mingzhen Wang Kaili Ren Lianlian Wang You Xu | 2022 | Chinese Journal of Structural Chemistry2022，41，12： | 0 |
| 4 | Real-Time Generation of Reflections in the Optimized Image Space显示文摘This paper proposes a novel imagebased method to generate real-time reflections.Our algorithm aims to solve the problem of missing reflections in previous screen space based methods efficiently.Instead of computing reflections in the image space decided by the curren t eye position,our met hod conducts mos t of the reflection calculations in a new image space,which is determined by a carefully chosen camera position at run・time.The major criteria used to choose this optimized camera position is to make its corresponding image space contain as much as possible scene information to generate reflections.Our experimental results indicate that most of the missing reflections problems can be fixed by moving the reflection computations to this new image space.We also prove that the performance gains achieved by execu ting computations in the new image space can cancel out most of the overhead to generate it. | ZHANG Yanci YU Hanyou XIE Ruilin MENG Xiaoyou REN Wenjie XIE Kaili LIU Yanli | 2020 | Chinese Journal of Electronics2020，29，5： | 0 |
| 5 | Liver disease epidemiology and burden in patients with alterations in plasma protein metabolism:German retrospective insurance claims analysis显示文摘BACKGROUND Alpha-1 antitrypsin deficiency is a rare genetic disease and a leading cause of inherited alterations in plasma protein metabolism(APPM).AIM To understand the prevalence,burden and progression of liver disease in patients with APPM including alpha-1 antitrypsin deficiency.METHODS We conducted a retrospective analysis of anonymized patient-level claims data from a German health insurance provider(AOK PLUS).The APPM cohort comprised patients with APPM(identified using the German Modification of the International Classification of Diseases-10th Revision[ICD-10-GM]code E88.0 between 01/01/2010-30/09/2020)and incident liver disease(ICD-10-GM codes K74,K70.2-3 and K71.7 between 01/01/2012-30/09/2020).The control cohort comprised patients without APPM but with incident liver disease.Outcomes were incidence/prevalence of liver disease in patients with APPM,demographics/baseline characteristics,diagnostic procedures,progression-free survival(PFS),disease progression and mortality.RESULTS Overall,2680 and 26299 patients were included in the APPM(fibrosis,96;cirrhosis,2584)and control(fibrosis,1444;cirrhosis,24855)cohorts,respectively.Per 100000 individuals,annual incidence and prevalence of APPM and liver disease was 10-15 and 36-51,respectively.In the APPM cohort,median survival was 4.7 years[95%confidence interval(CI):3.5-7.0]and 2.5 years(95%CI:2.3-2.8)in patients with fibrosis and cirrhosis,respectively.A higher proportion of patients in the APPM cohort experienced disease progression(92.0%)compared with the control cohort(67.2%).Median PFS was shorter in the APPM cohort(0.9 years,95%CI:0.7-1.1)compared with the control cohort(3.7 years,95%CI:3.6-3.8;P<0.001).Patients with cirrhosis in the control cohort had longer event-free survival for ascites,hepatic encephalopathy,hepatic failure and esophageal/gastric varices than patients with cirrhosis in the APPM cohort(P<0.001).Patients with fibrosis in the control cohort had longer event-free survival for ascites,cirrhosis,hepatic failure and esophageal/gastric varices than patients with fibrosis in the APPM cohort(P<0.001).In the APPM cohort,the most common diagnostic procedures within 12 mo after the first diagnosis of liver disease were imaging procedures(66.3%)and laboratory tests(51.0%).CONCLUSION Among patients with liver disease,those with APPM experience substantial burden and earlier liver disease progression than patients without APPM. | Nils Picker May Hagiwara Severin Baumann Ed G Marins Thomas Wilke Kaili Ren Ulf Maywald ChitraKarki Pavel Strnad | 2023 | World Journal of Hepatology2023，15，10： | 0 |
| 6 | Novel defined N7-methylguanosine modification-related lncRNAs for predicting the prognosis of laryngeal squamous cell carcinoma显示文摘Objective:Through integrated bioinformatics analysis,the goal of this work was to find new,characterised N7-methylguanosine modification-related long non-coding RNAs(m7G-lncRNAs)that might be used to predict the prognosis of laryngeal squamous cell carcinoma(LSCC).Methods:The clinical data and LSCC gene expression data for the current investigation were initially retrieved from the TCGA database&sanitised.Then,using co-expression analysis of m7G-associated mRNAs&lncRNAs&differential expression analysis(DEA)among LSCC&normal sample categories,we discovered lncRNAs that were connected to m7G.The prognosis prediction model was built for the training category using univariate&multivariate COX regression&LASSO regression analyses,&the model’s efficacy was checked against the test category data.In addition,we conducted DEA of prognostic m7G-lncRNAs among LSCC&normal sample categories&compiled a list of co-expression networks&the structure of prognosis m7G-lncRNAs.To compare the prognoses for individuals with LSCC in the high-&low-risk categories in the prognosis prediction model,survival and risk assessments were also carried out.Finally,we created a nomogram to accurately forecast the outcomes of LSCC patients&created receiver operating characteristic(ROC)curves to assess the prognosis prediction model’s predictive capability.Results:Using co-expression network analysis&differential expression analysis,we discovered 774 m7G-lncRNAs and 551 DEm7G-lncRNAs,respectively.We then constructed a prognosis prediction model for six m7G-lncRNAs(FLG−AS1,RHOA−IT1,AC020913.3,AC027307.2,AC010973.2 and AC010789.1),identified 32 DEPm7G-lncRNAs,analyzed the correlation between 32 DEPm7G-lncRNAs and 13 DEPm7G-mRNAs,and performed survival analyses and risk analyses of the prognosis prediction model to assess the prognostic performance of LSCC patients.By displaying ROC curves and a nomogram,we finally checked the prognosis prediction model's accuracy.Conclusion:By creating novel predictive lncRNA signatures for clinical diagnosis&therapy,our findings will contribute to understanding the pathogenetic process of LSCC. | ZHAOXU YAO HAIBIN MA LIN LIU QIAN ZHAO LONGCHAO QIN XUEYAN REN CHUANJUN WU KAILI SUN | 2023 | BIOCELL2023，47，9： | 0 |
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