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| 1 | Myristica fragrans promotes ABCA1 expression and cholesterol efflux in THP-1-derived macrophages显示文摘Myristica fragrans is a traditional herbal medicine and has been shown to alleviate the development of atherosclerosis.However,the anti-atherogenic mechanisms of M.fragrans are still to be addressed.In this study,we explored the effect of M.fragrans on lipid metabolism and inflammation and its mechanisms in THP-1-derived macrophages.The quantitative polymerase chain reaction and western blot analysis results showed that M.fragrans promotes cholesterol efflux from THP-1-derived macrophages and reduces intracellular total cholesterol,cholesterol ester,and free cholesterol contents in a dose-and a time-dependent manner.Further study found that liver X receptor alpha(LXRα)antagonist GGPP significantly blocked the upregulation of ABCA1 expression with M.fragrans treatment.In addition,chromatin immunoprecipitation assay confirmed that GATA binding protein 3(GATA3)can bind to the LXRαpromoter,and inhibition of GATA3 led to the downregulation of LXRαand ATP-binding cassette subfamily A member 1 expression.Furthermore,M.fragrans reduced lipid accumulation,followed by decreasing tumor necrosis factor-α,interleukin(IL)-6,and IL-1βand increasing IL-10 produced by THP-1-derived macrophages.Therefore,M.fragrans is identified as a valuable therapeutic medicine for atherosclerotic cardiovascular disease. | Shangming Liu Jiahui Gao Linhao He Zhenwang Zhao Gang Wang Jin Zou Li Zhou Xiangjun Wan Shilin Tang Chaoke Tang | 2021 | Acta Biochimica et Biophysica Sinica2021，53，1： | 2 |
| 2 | Research on Evacuation in the Subway Station in China based on the Combined Social Force Model显示文摘 | WAN Jiahui SUI Jie YU Hua | 2014 | Physica A:Statistical Mechanics and its Applications2014，394，： | 1 |
| 3 | Adsorption characteristics of water-reducing agents on gypsum surface and its effect on the rheology of gypsum plaster显示文摘 | Peng Jiahui Qu Jindong Zhang Jianxin Chen Mingfeng Wan Tizhi | 2005 | Cement and Concrete Research2005，35，： | 1 |
| 4 | Waste to wealth: Oxygen-nitrogen-sulfur codoped lignin-derived carbon microspheres from hazardous black liquors for high-performance DSSCs显示文摘Carbon materials are effective substitutes for Pt counter electrodes(CEs) in dye-sensitized solar cells(DSSCs). However, many of these materials, such as carbon nanotubes and graphene, are expensive and require complex preparation process. Herein, waste lignin, recycled from hazardous black liquors,is used to create oxygen-nitrogen-sulfur codoped carbon microspheres for use in DSSC CEs through the facile process of low-temperature preoxidation and high-temperature self-activation. The large number of ester bonds formed by preoxidation increase the degree of cross-linking of the lignin chains, leading to the formation of highly disordered carbon with ample defect sites during pyrolysis. The presence of organic O/N/S components in the waste lignin results in high O/N/S doping of the pyrolysed carbon,which increases the electrolyte ion adsorption and accelerates the electron transfer at the CE/electrolyte interface, as confirmed by density functional theory(DFT) calculations. The presence of inorganic impurities enables the construction of a hierarchical micropore-rich carbon structure through the etching effect during self-activation, which can provide abundant catalytically active sites for the reversible adsorption/desorption of electrolyte ions. Under these synergistic effects, the DSSCs that use this novel carbon CE achieve a quite high power-conversion efficiency of 9.22%. To the best of our knowledge, the value is a new record reported so far for biomass-carbon-based DSSCs. | Wenjie Cheng Caichao Wan Xingong Li Huayun Chai Zhenxu Yang Song Wei Jiahui Su Xueer Tang Yiqiang Wu | 2023 | Journal of Energy Chemistry2023，，8： | 1 |
| 5 | Recent Advances in Fatigue Detection Algorithm Based on EEG显示文摘Fatigue is a state commonly caused by overworked,which seriously affects daily work and life.How to detect mental fatigue has always been a hot spot for researchers to explore.Electroencephalogram(EEG)is considered one of the most accurate and objective indicators.This article investigated the devel-opment of classification algorithms applied in EEG-based fatigue detection in recent years.According to the different source of the data,we can divide these classification algorithms into two categories,intra-subject(within the same sub-ject)and cross-subject(across different subjects).In most studies,traditional machine learning algorithms with artificial feature extraction methods were com-monly used for fatigue detection as intra-subject algorithms.Besides,deep learn-ing algorithms have been applied to fatigue detection and could achieve effective result based on large-scale dataset.However,it is difficult to perform long-term calibration training on the subjects in practical applications.With the lack of large samples,transfer learning algorithms as a cross-subject algorithm could promote the practical application of fatigue detection methods.We found that the research based on deep learning and transfer learning has gradually increased in recent years.But as afield with increasing requirements,researchers still need to con-tinue to explore efficient decoding algorithms,design effective experimental para-digms,and collect and accumulate valid standard data,to achieve fast and accurate fatigue detection methods or systems to further widely apply. | Fei Wang Yinxing Wan Man Li Haiyun Huang Li Li Xueying Hou Jiahui Pan Zhenfu Wen Jingcong Li | 2023 | Intelligent Automation & Soft Computing2023，，3： | 1 |
| 6 | METTL3-mediated m^(6)A modification of HMGA2 mRNA promotes subretinal fibrosis and epithelial-mesenchymal transition显示文摘Subretinal fibrosis is a major cause of the poor visual prognosis for patients with neovascular age-related macular degeneration(nAMD).Myofibroblasts originated from retinal pigment epithelial(RPE)cells through epithelial-mesenchymal transition(EMT)contribute to the fibrosis formation.N^(6)-Methyladenosine(m^(6)A)modification has been implicated in the EMT process and multiple fibrotic diseases.The role of m^(6)A modification in EMT-related subretinal fibrosis has not yet been elucidated.In this study,we found that during subretinal fibrosis in the mouse model of laser-induced choroidal neovascularization,METTL3 was upregulated in RPE cells.Through m^(6)A epitranscriptomic microarray and further verification,high-mobility group AT-hook 2(HMGA2)was identified as thekey downstream target of METTL3,subsequently activating potent EMT-inducing transcription factor SNAIL.Finally,by subretinal injections of adeno-associated virus vectors,we confirmed that METTL3 deficiency in RPE cells could efficiently attenuate subretinal fibrosis in vivo.In conclusion,our present research identified an epigenetic mechanism of METTL3-m^(6)A-HMGA2 in subretinal fibrosis and EMT of RPE cells,providing a novel therapeutic target for subretinal fibrosis secondary to nAMD. | Yuwei Wang Yuhong Chen Jian Liang Mei Jiang Ting Zhang Xiaoling Wan Jiahui Wu Xiaomeng Li Jieqiong Chen Junran Sun Yifan Hu Peirong Huang Jingyang Feng Te Liu Xiaodong Sun | 2023 | Journal of Molecular Cell Biology2023，15，3： | 1 |
| 7 | Parthenolide reveals an allosteric mode to inhibit the delSGylation activity of SARS-CoV-2 papain-like protease显示文摘The coronavirus papain-like protease(PLpro)of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)is responsible for viral polypeptide cleavage and the deISGylation of interferon-stimulated gene 15(ISG15),which enable it to participate in virus replication and host innate immune pathways.Therefore,PLpro is considered an attractive antiviral drug target.Here,we show that parthenolide,a germacrane sesquiterpene lactone,has SARS-CoV-2 PLpro inhibitory activity.Parthenolide covalently binds to Cys-191 or Cys-194 of the PLpro protein,but not the Cys-111 at the PLpro catalytic site.Mutation of Cys-191 or Cys-194 reduces the activity of PLpro.Molecular docking studies show that parthenolide may also form hydrogen bonds with Lys-192,Thr-193,and Gln-231.Furthermore,parthenolide inhibits the deISGylation but not the deubiquitinating activity of PLpro in vitro.These results reveal that parthenolide inhibits PLpro activity by allosteric regulation. | Zhihui Zou Huizhuang Shan Demeng Sun Li Xia Yulong Shi Jiahui Wan Aiwu Zhou Yunzhao Wu Hanzhang Xu Hu Lei Zhijian Xu Yingli Wu | 2022 | Acta Biochimica et Biophysica Sinica2022，54，8： | 0 |
| 8 | An Efficient Sleep Spindle Detection Algorithm Based on MP and LSBoost显示文摘Sleep spindles are an electroencephalogram(EEG)biomarker of non-rapid eye movement(NREM)sleep and have important implications for clinical diagnosis and prognosis.However,it is challenging to accurately detect sleep spindles due to the complexity of the human brain and the uncertainty of neural mechanisms.To improve the reliability and objectivity of sleep spindle detection and to compensate for the limitations of manual annotation,this study proposes a new automatic detection algorithm based on Matching Pursuit(MP)and Least Squares Boosting(LSBoost),where the automatic sleep spindle detection algorithm can help reduce the visual annotation workload of sleep clinicians.Specifically,MP is a time-frequency analysis method suitable for extracting spindle wave characteristics,which can accurately locate spindle waves on a time-frequency plane.LSBoost is an ensemble learning classification method to deal with unbalanced data.Initially,theMP method is used to search for EEG segments that are possible spindle waves from the filtered raw EEG data.Then,the designed feature segments are thrown into the LSBoost classifier to further identify the real spindles from all candidates and output the final results.The proposed method is verified on the common public dataset DREAMS.The experiment results showthat the sensitivity and F1-scores based on the sample-based assessments achieve 68.2% and 55.4%,respectively.Furthermore,the Recall and F1-score based on the event assessments are 83.8% and 70.8%,respectively.These results show that the proposed algorithm is robust to the subject changes in the DREAMS dataset.In addition,it improves the quality of sleep spindle detection,which is expected to assist the manual marking of experts. | Fei Wang Li Li Yinxing Wan Zhuorong Li Lixian Luo Bangshun Hu Jiahui Pan Zhenfu Wen Haiyun Huang | 2023 | Computers, Materials & Continua2023，76，8： | 0 |
| 9 | Hierarchically porous cellulose nanofibril aerogel decorated with polypyrrole and nickel-cobalt layered double hydroxide for high-performance nonenzymatic glucose sensors显示文摘With increasing emphasis on green chemistry,biomass-based materials have attracted increased attention regarding the development of highly efficient functional materials.Herein,a new pore-rich cellulose nanofibril aerogel is utilized as a substrate to integrate highly conductive polypyrrole and active nanoflower-like nickel-cobalt layered double hydroxide through in situ chemical polymerization and electrodeposition.This ternary composite can act as an effective self-supported electrode for the electrocatalytic oxidation of glucose.With the synergistic effect of three heterogeneous components,the electrode achieves outstanding glucose sensing performance,including a high sensitivity(851.4μA·mmol^(−1)·L·cm^(−2)),a short response time(2.2 s),a wide linear range(two stages:0.001−8.145 and 8.145−35.500 mmol·L^(−1)),strong immunity to interference,outstanding intraelectrode and interelectrode reproducibility,a favorable toxicity resistance(Cl^(‒)),and a good long-term stability(maintaining 86.0%of the original value after 30 d).These data are superior to those of some traditional glucose sensors using nonbiomass substrates.When determining the blood glucose level of a human serum,this electrode realizes a high recovery rate of 97.07%–98.89%,validating the potential for highperformance blood glucose sensing. | Xuanze Li Wenyan Tian Caichao Wan Sulai Liu Xinyi Liu Jiahui Su Huayun Chai Yiqiang Wu | 2023 | Frontiers of Chemical Science and Engineering2023，17，10： | 0 |
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