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| 1 | Different contributions of STAT3, ERK1/2, and PI3-K signaling to cardiomyocyte hypertrophy by cardiotrophin-1显示文摘AIM: To assess the contribution of signal transducer and activator of transcription 3(JAK-STAT3) pathway, extracellular signal-regulated kinases1/2 (ERK1/2) pathway, and phosphatidylinositol 3-kinase (PI3-K) pathway to cardiomyocytes hypertrophy induced by cardiotrophin-1 (CT-1), a new member of interleukin-6 (IL-6) family of cytokines. METHODS: STAT3, ERK1/2, and PI3-K were assessed by Western blot analysis. Activity of ERK1/2 was also confirmed by in-gel kinase assay. Hypertrophy of cardiomyocyte was evaluated by [^3H]leucine incorporation and cellular protein-to-DNA ratio. RESULTS: CT-1 simultaneously activated phosphorylation of STAT3, ERK1/2, and PI3-K in rat cardiomyocytes. Parthenolide, an inhibitor of STAT, suppressed CT-1-induced [^3H]leucine incorporation by 88.3% and protein-to-DNA ratio by 75.0%. U0126, an MEK1/2 inhibitor, increased CT-1-induced the phosphorylation of STAT3 in a dose-dependent manner and, consistently, augmented CT-1-induced increase in [^3H]leucine incorporation and cellular protein-to-DNA ratio by 17.6% and 16.3%, respectively. Wortmannin, a PI3-K inhibitor, did not influence CT-1-induced [^3H]leucine incorporation and cellular protein-to-DNA ratio. CONCLUSION: The hypertrophic effect of CT-1 was essentially mediated by STAT3, independent of PI3-K, and negatively regulated by ERK1/2 via inhibiting the phosphorylation of STAT3. The interaction between STAT3 and ERK1/2 in CT-1-induced signaling contributes to development of cardiac hypertrophy. | Ze-junTIAN WeiCUI Yong-junLI Yu-mingHAO JunDU FanLIU HuiZHANG Xiu-guangZU Su-yunLIU LiCHEN WeiAN | 2004 | Acta Pharmacologica Sinica2004，25，9： | 16 |
| 2 | Development of Arithmetical Competencies in Chinese and American Children: Influence of Age, Language, and Schooling显示文摘 | David C.Geary C. ChristineBow‐Thomas FanLiu Robert S.Siegler | 2008 | Child Development2008，，5： | 1 |
| 3 | Hypoxia inducible factor‐1α gene polymorphism G1790A and its interaction with tobacco and alcohol consumptions increase susceptibility to hepatocellular carcinoma显示文摘 | Pei‐ChingHsiao Mu‐KuanChen Shih‐ChiSu Kwo‐ChangUeng Yi‐ChenChen Yi‐HsienHsieh Yu‐FanLiu Hsiu‐TingTsai Shun‐FaYang | 2010 | Oncol2010，，2： | 1 |
| 4 | A non-intrusive speech quality evaluation algorithm combining auxiliary target learning and convolutional recurrent network显示文摘The objective evaluation of speech quality can replace expensive manual scoring,but current objective indicators usually need pure reference speech,which is difficult to obtain in many practical acoustic systems.A non-intrusive speech quality evaluation algorithm combining auxiliary target learning and a convolutional recurrent network(CRN)is proposed.Bark frequency cepstral coefficients(BFCCs),which are based on human-like auditory filters,are used as the input of the CRN network to effectively reduce the network complexity.Firstly,frame-level features are extracted by a convolutional neural network(CNN)from BFCCs.Then,long-term time dependence and sequence features are modeled by the bidirectional long shortterm memory(BiLSTM)networks in frame-level features.Finally,a self-attention mechanism is introduced into the CRN,thereby adaptively extracting useful information from frame-level features,which is then integrated into the characteristics of the sentence level and mapped into the final objective score.In addition,a multi-task training strategy is adopted,and voice activity detection(VAD)is introduced as an auxiliary learning target to improve the performance of the algorithm.Experiments in public databases show that compared with other non-intrusive algorithms,the proposed algorithm has a better correlation with the mean opinion score(MOS).Moreover,it has a small parameter size and good generalization ability for the distorted speech database with MOS released by ITU-T P.808,which is close to the accuracy of the perceptual evaluation of speech quality(PESQ). | TANG Guichen LIANG Ruiyu KONG Fanliu XIE Yue JU Mengjie | 2023 | Chinese Journal of Acoustics2023，42，2： | 0 |
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