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| 1 | Isoliquiritigenin inhibits TGF-β1-induced fibrogenesis through activating autophagy via PI3K/AKT/mTOR pathway in MRC-5 cells显示文摘Isoliquiritigenin(ISL),a natural flavonoid derived from the root of liquorice,has been reported to possess anti-inflammatory and antioxidant activities.Previous studies have found that ISL plays a crucial role in anti-fibrosis of adipose tissue and renal tissue;however,its effect on pulmonary fibrogenesis has not been demonstrated.In this study,we aimed to explore the roles and the underlying mechanisms of ISL in TGF-β1-induced fibrogenesis using human lung fibroblast-derived MRC-5 cells.Cell proliferation and migration were determined by MTT and wound healing assay,respectively.The expression levels of alpha-smooth muscle actin(α-SMA),collagen type I alpha 1(COLIA1)and fibronectin(FN),microtubule-associated protein light chain 3(LC3)and related signaling molecules were detected by quantitative real-time PCR,western blot and immunofluorescence assay,correspondingly.EGFP-LC3 transfection was used for autophagy analysis.The results showed that ISL inhibited the TGF-β1-induced proliferation and migration,and down-regulated the expressions ofα-SMA,COLIA1 and FN.ISL treatment led to up-regulation of LC3 in TGF-β1-treated MRC-5 cells,accompanied by significant decrease in the phosphorylation levels of phosphatidylinositol 3-kinase(PI3K),protein kinase B(AKT),and mammalian target of rapamycin(mTOR).In addition,the inhibitory effects of ISL on TGF-β1-induced fibrogenic features in MRC-5 cells were enhanced by pretreatment with autophagy activator Rapmycin and PI3K/AKT inhibitor LY294002 and reversed by autophagy inhibitor 3-methyladenine and PI3K/AKT activator IGF-1.Taken together,our results demonstrated that ISL could attenuate the fibrogenesis of TGF-β1-treated MRC-5 cells by activating autophagy via suppressing the PI3K/AKT/mTOR pathway.Therefore,ISL holds a great potential to be developed as a novel therapeutic agent for the treatment of pulmonary fibrosis. | Jinjuan He Hao Peng Meifang Wang Ying Liu Xingrong Guo Bin Wang Longjun Dai Xueqin Cheng Zhongji Meng Leyong Yuan Fenglin Cai Yijun Tang | 2020 | Acta Biochimica et Biophysica Sinica2020，52，8： | 16 |
| 2 | Integrated resources planning in microgrids considering interruptible loads and shiftable loads显示文摘Demand response has the potential to bring significant benefits to the optimal sizing of distributed generation(DG) resources for microgrids planning. This paper presents an integrated resources planning model considering the impact of interruptible loads(ILs) and shiftable loads(SLs) in microgrids, which simultaneouslydeals with supply side and demand side resources and minimizes the overall planning cost of the microgrid. The proposed model can be applied to offer a quantitative assessment how IL and SL can contribute to microgrid planning. The pure peak clipping model with IL and SL is also provided for comparisons. Moreover, sensitivity analysis of parameters in the model is performed.Numerical results confirm that the proposed model is an effective method for reducing the planning cost of microgrids. It was also found that the major contributing factors of IL and SL have great impact on the economic benefits of the proposed model in low-carbon economy environments. | Lan ZHU Xueying ZHOU Xiao-Ping ZHANG Zheng YAN Shuxin GUO Longjun TANG | 2018 | Journal of Modern Power Systems and Clean Energy2018，6，4： | 11 |
| 3 | Microbial response to CaCO_3 application in an acid soil in southern China显示文摘Calcium carbonate(CaCO_3) application is widely used to ameliorate soil acidification. To counteract soil and bacterial community response to CaCO_3 application in an acidic paddy soil in southern China, a field experiment was conducted with four different dosages of CaCO_3 addition, 0, 2.25, 4.5 and 7.5 tons/ha, respectively. After one seasonal growth of rice, soil physicochemical properties, soil respiration and bacterial communities were investigated. Results showed that soil p H increased accordingly with increasing dose of CaCO_3 addition, and 7.5 tons/ha addition increased soil p H to neutral condition. Moderate dose of CaCO_3 application(4.5 tons/ha) significantly increased soil dissolved organic carbon(DOC) and dissolved organic nitrogen(DON) content, enhanced soil respiration, while the excessive CaCO_3 application(7.5 tons/ha) decreased these soil properties. High-throughput sequencing results illustrated that moderate dose of CaCO_3 application increased the richness and alpha diversity of soil bacterial community. Compared with control, the relative abundance of Anaerolineaceae family belonging to Chloroflexi phylum increased by 38.7%, 35.4% and 24.5% under 2.25, 4.5 and 7.5 tons/ha treatments, respectively.Redundancy analysis(RDA) showed that soil p H was the most important factor shaping soil bacterial community. The results of this study suggest that proper dose of CaCO_3 additions to acid paddy soil in southern China could have positive effects on soil properties and bacterial community. | Anning Guo Longjun Ding Zhong Tang Zhongqiu Zhao Guilan Duan | 2019 | Journal of Environmental Sciences2019，31，5： | 7 |
| 4 | Homoharringtonine is a safe and effective substitute for anthracyclines in children younger than 2 years old with acute myeloid leukemia显示文摘Homoharringtonine (HHT),a plant alkaloid from Cephalotaxus harringtonia,exhibits a unique anticancer mechanism and has been widely used in China to treat patients with acute myeloid leukemia (AML) since the 1970s.Trial SCMC-AML-2009 presented herein was a randomized clinical study designed based on our previous findings that pediatric AML patients younger than two years old may benefit from HHT-containing chemotherapy regimens.Patients randomized to arm A were treated with a standard chemotherapy regimen comprising mainly of anthracyclines and cytarabine (Ara-C),whereas patients in arm B were treated with HHTcontaining regimens in which anthracyclines in all but the initial induction therapy were replaced by HHT.From February 2009 to November 2015,59 patients less than 2 years old with de novo AML (other than acute promyelocytic leukemia) were recruited.A total of 42 patients achieved a morphologic complete remission (CR) after the first course,with similar rates in both arms (70.6% vs.72.0%).At the end of the follow-up period,40 patients remained in CR and 5 patients underwent hematopoietic stem cell transplantation in CR,which could not be considered as events but censors.The 5-year event-free survival (EFS) was 60.2%± 9.6% for arm A and 88.0%± 6.5% for arm B (P=0.024).Patients in arm B experienced shorter durations of leukopenia,neutropenia,and thrombocytopenia and had a lower risk of infection during consolidation chemotherapy with high-dosage Ara-C.Consequently,the homoharringtonine-based regimen achieved excellent EFS and alleviated hematologic toxicity for children aged younger than 2 years with de novo AML compared with the anthracycline-based regimen. | Xiaoxiao Chen Yanjing Tang Jing Chen Ru Chen Longjun Gu Huiliang Xue Ci Pan Jingyan Tang Shuhong Shen | 2019 | Frontiers of Medicine2019，13，3： | 3 |
| 5 | Microseismic event waveform classification using CNN-based transfer learning models显示文摘The efficient processing of large amounts of data collected by the microseismic monitoring system(MMS),especially the rapid identification of microseismic events in explosions and noise,is essential for mine disaster prevention.Currently,this work is primarily performed by skilled technicians,which results in severe workloads and inefficiency.In this paper,CNN-based transfer learning combined with computer vision technology was used to achieve automatic recognition and classification of multichannel microseismic signal waveforms.First,data collected by MMS was generated into 6-channel original waveforms based on events.After that,sample data sets of microseismic events,blasts,drillings,and noises were established through manual identification.These datasets were split into training sets and test sets according to a certain proportion,and transfer learning was performed on AlexNet,GoogLeNet,and ResNet50 pre-training network models,respectively.After training and tuning,optimal models were retained and compared with support vector machine classification.Results show that transfer learning models perform well on different test sets.Overall,GoogLeNet performed best,with a recognition accuracy of 99.8%.Finally,the possible effects of the number of training sets and the imbalance of different types of sample data on the accuracy and effectiveness of classification models were discussed. | Longjun Dong Hongmei Shu Zheng Tang Xianhang Yan | 2023 | International Journal of Mining Science and Technology2023，33，10： | 0 |
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