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Factors associated with improvement in waist-to-height ratio among newly diagnosed type 2 diabetes patients treated with acarbose or metformin:A randomized clinical trial study

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World Journal of Diabetes 2020年第11期11卷 514-526页

作者： Lu-Lu Song Xin Wang Zhao-Jun yang Xiao-Mu Kong Xiao-Ping Chen Bo Zhang wen-ying yang Department of Endocrinology China-Japan Friendship HospitalBeijing 100029China

BACKGROUND The waist-to-height ratio(WHtR)is a promising anthropometric measure used to evaluate cardiovascular risk in diabetes and metabolic syndrome *** metformin and acarbose in Chinese as the initial hypoglycaemic treatment trial demonstrated that acarbose and metformin reduced the WHtR after 24 wk of *** To investigate the factors associated with a decrease in the WHtR in newly diagnosed Chinese type 2 diabetes patients receiving acarbose or metformin *** At 24 wk,343 patients in the acarbose treatment and 333 patients in the metformin treatment were included in this *** the basis of the reduction in the WHtR,these participants were divided into the following two groups:LowΔWHtR group and highΔWHtR *** and related parameters associated with a highΔWHtR were investigated using univariate and multivariate logistic regression *** A significant decrease in the WHtR was observed in both treatment groups(acarbose:-0.015,95%confidence interval[CI]:-0.018 to-0.012,P<0.001;metformin:-0.013,95%CI:-0.016 to-0.010,P<0.001).In both the acarbose and metformin groups,the WHtR of the women was more likely to be reduced than that of the *** the acarbose group,a lower baseline area under the curve of glucagon-like peptide 1(AUCGLP-1)was associated with a highΔWHtR(odds ratio[OR]=0.796,P<0.001),while a higher baseline AUCGLP-1 was associated with a highΔWHtR in the patients treated with metformin(OR=1.133,P=0.025).Regarding the changes from baseline,an increase in AUCGLP-1 was associated with a highΔWHtR in the acarbose(OR=1.121,P=0.016)but not metformin group.A higher reduction in high-density lipoprotein cholesterol/non-highdensity lipoprotein cholesterol was also associated with a highΔWHtR in the acarbose arm(OR=20.735,P=0.001).In the metformin arm,a higher reduction in fasting plasma glucose(OR=0.843,P=0.039)and total cholesterol was associated with a highΔWHtR(OR=0.743,P=0.013).CONCLUSION A lower glucag

关键词： Waist-to-height ratio Abdominal obesity Type 2 diabetes Association Acarbose Metformin

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Sound quality evaluation of high-speed train interior noise by adaptive Moore loudness algorithm

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2017年第9期18卷 690-703页

作者： Le LUO, Xu ZHENG Zhi-yong HAO wen-qiang DAI wen-ying yang Department of Energy Engineering Zhejiang University Hangzhou 310027 China

An online experiment to acquire the interior noise of a China Railways High-speed （CRH） train showed that it wasmainly composed of middle-low frequency components and could not be described properly by linear or A-weighted soundpressure level （SPL）. Thus, the appropriate way to evaluate the high-speed train interior noise is to use sound quality parameters,and the most important is loudness. To overcome the disadvantages of the existing loudness algorithms, a novel signal-adaptiveMoore loudness algorithm （AMLA） based on the equivalent rectangular bandwidth （ERB） spectrum was introduced. The valida-tion reveals that AMLA can obtain higher accuracy and efficiency, and the simulated dark red noise conforms best to thehigh-speed train interior noise by loudness and auditory assessment. The main loudness component of the interior noise is below27.6 ERB rate （erbr）, and the sound quality of the interior noise is relatively stable between 300-350 km/h. The specific loudnesscomponents among 12-15 erbr stay invariable throughout the acceleration or deceleration process while components among20-27 erbr are evidently speed related. The unusual random noise is effectively identified, which indicates that AMLA is anappropriate method for sound quality assessment of the high-speed train under both steady and transient conditions.

关键词： High-speed train Sound quality evaluation Equivalent rectangular bandwidth (ERB) spectrum Adaptive Mooreloudness algorithm (AMLA) Unusual random noise

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The role of non-coding RNAs in drug resistance of oral squamous cell carcinoma and therapeutic potential

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Cancer Communications 2021年第10期41卷 981-1006页

作者： Xiang Meng Qiu-Yue Lou wen-ying yang Yue-Rong Wang Ran Chen Lu Wang Tao Xu Lei Zhang Key Lab.of Oral Diseases Research of Anhui Province College&Hospital of StomatologyHefeiAnhui 230032P.R.China Department of Epidemiology and Biostatistics School of Public HealthAnhui Medical UniversityHefeiAnhui 230032P.R.China School of Stomatology Anhui Medical UniversityHefeiAnhui 230032P.R.China Inflammation and Immune Mediated Diseases Laboratory of Anhui Province HefeiAnhui 230032P.R.China School of Pharmacy Anhui Key Lab.of Bioactivity of Natural ProductsAnhui Medical UniversityHefeiAnhui 230032P.R.China Department of Periodontology Anhui Stomatology Hospital affiliated to Anhui Medical UniversityHefeiAnhui 230032P.R.China

Oral squamous cell carcinoma(OSCC),the eighth most prevalent cancer in the world,arises from the interaction of multiple factors including tobacco,alcohol consumption,and betel *** agents such as cisplatin,5-fluorouracil,and paclitaxel have now become the first-line options for OSCC ***,most OSCC patients eventually acquire drug resistance,leading to poor *** the discovery and identification of non-coding RNAs(ncRNAs),the functions of dysregulated ncRNAs in OSCC development and drug resistance are gradually being widely *** mechanisms of drug resistance of OSCC are intricate and involve drug efflux,epithelial-mesenchymal transition,DNA damage repair,and *** present,strategies to explore the reversal of drug resistance of OSCC need to be urgently ***-delivery and self-cellular drug delivery platforms are considered as effective strategies to overcome drug resistance due to their tumor targeting,controlled release,and consistent pharmacokinetic *** particular,the combined application of new technologies(including CRISPR systems)opened up new horizons for the treatment of drug resistance of ***,this review explored emerging regulatory functions of ncRNAs in drug resistance of OSCC,elucidated multiple ncRNA-meditated mechanisms of drug resistance of OSCC,and discussed the potential value of drug delivery platforms using nanoparticles and self-cells as carriers in drug resistance of OSCC.

关键词： drug delivery drug resistance long non-coding RNAs microRNAs non-coding RNA(ncRNA) oral squamous cell carcinoma

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Postprandial glucagon-like peptide 1 secretion is associated with urinary albumin excretion in newly diagnosed type 2 diabetes patients

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World Journal of Diabetes 2023年第3期14卷 279-289页

作者： Lu-Lu Song Na Wang Jin-Ping Zhang Li-Ping Yu Xiao-Ping Chen Bo Zhang wen-ying yang Department of Endocrinology China-Japan Friendship HospitalBeijing 100029China

BACKGROUND Microalbuminuria is an early and informative marker of diabetic *** study found that microalbuminuria developed in patients with newly diagnosed type 2 diabetes mellitus(T2DM).AIM To investigate the association between glucagon-like peptide 1(GLP-1)and microalbuminuria in newly diagnosed T2DM *** In total,760 patients were recruited for this cross-sectional *** GLP-1 levels during a standard meal test and urinary albumin-creatinine ratio(UACR)were *** Patients with microalbuminuria exhibited lower GLP-1 levels at 30 min and 120 min during a standard meal test than patients with normal albuminuria(30 min GLP-1,16.7±13.3 pmol vs 19.9±15.6 pmol,P=0.007;120 min GLP-1,16.0±14.1 pmol vs 18.4±13.8 pmol,P=0.037).The corresponding area under the curve for active GLP-1(AUCGLP-1)was also lower in microalbuminuria patients(2257,1585 to 3506 vs 2896,1763 to 4726,pmol×min,P=0.003).Postprandial GLP-1 levels at 30 min and 120 min and AUCGLP-1 were negatively correlated with the UACR(r=0.159,r=0.132,r=0.206,respectively,P<0.001).The prevalence of microalbuminuria in patients with newly diagnosed T2DM was 21.7%,which decreased with increasing quartiles of AUCGLP-1 levels(27.4%,25.3%,18.9%and 15.8%).After logistic regression analysis adjusted for sex,age,hemoglobin A1c,body mass index,systolic blood pressure,estimated glomerular filtration rate,homeostasis model assessment of insulin resistance,AUC_(glucose)and AUC_(glucagon)patients in quartile 4 of the AUCGLP-1 presented a lower risk of microalbuminuria compared with the patients in quartile 1(odds ratio=0.547,95%confidence interval:0.325-0.920,P=0.01).A consistent association was also found between 30 min GLP-1 or 120 min GLP-1 and *** Postprandial GLP-1 levels were independently associated with microalbuminuria in newly diagnosed Chinese T2DM patients.

关键词： Microalbuminuria Glucagon-like peptide 1 Type 2 diabetes Nephropathy

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Development and validation of a risk assessment model for prediabetes in China national diabetes survey

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World Journal of Clinical Cases 2022年第32期10卷 11789-11803页

作者： Li-Ping Yu Fen Dong Yong-Ze Li wen-ying yang Si-Nan Wu Zhong-Yan Shan Wei-Ping Teng Bo Zhang Department of Endocrinology China-Japan Friendship HospitalBeijing 100029China Institute of Clinical Medical Sciences China-Japan Friendship HospitalBeijing 100029China Department of Endocrinology and Metabolism First Hospital of China Medical UniversityShenyang 110001Liaoning ProvinceChina

BACKGROUND Prediabetes risk assessment models derived from large sample sizes are *** To establish a robust assessment model for prediabetes and to validate the model in different *** The China National Diabetes and Metabolic Disorders Study(CNDMDS)collected information from 47325 participants aged at least 20 years across China from 2007 to *** Thyroid Disorders,Iodine Status and Diabetes Epidemiological Survey(TIDE)study collected data from 66108 participants aged at least 18 years across China from 2015 to 2017.A logistic model with stepwise selection was performed to identify significant risk factors for prediabetes and was internally validated by bootstrapping in the *** validations were performed in diverse populations,including populations of Hispanic(Mexican American,other Hispanic)and non-Hispanic(White,Black and Asian)participants in the National Health and Nutrition Examination Survey(NHANES)in the United States and 66108 participants in the TIDE study in China.C statistics and calibration plots were adopted to evaluate the model’s discrimination and calibration *** A set of easily measured indicators(age,education,family history of diabetes,waist circumference,body mass index,and systolic blood pressure)were selected as significant risk factors.A risk assessment model was established for prediabetes with a C statistic of 0.6998(95%CI:0.6933 to 0.7063)and a calibration slope of *** externally validated in the NHANES and TIDE studies,the model showed increased C statistics in Mexican American,other Hispanic,Non-Hispanic Black,Asian and Chinese populations but a slightly decreased C statistic in non-Hispanic White *** the risk assessment model to the TIDE population,we obtained a C statistic of 0.7308(95%CI:0.7260 to 0.7357)and a calibration slope of 1.1137.A risk score was derived to assess *** with scores≥7 points were at high risk of prediabetes,with a se

关键词： Hyperglycemia Prediabetes Risk assessment model Risk scores

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一种基于增量加权平均的在线序贯极限学习机算法

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控制与决策 2017年第10期32卷 1887-1893页

作者：张明洋闻英友杨晓陶赵宏东北大学计算机科学与工程学院沈阳110819 东软公司软件架构新技术国家重点实验室沈阳110179

针对在线序贯极限学习机(OS-ELM)对增量数据学习效率低、准确性差的问题,提出一种基于增量加权平均的在线序贯极限学习机(WOS-ELM)算法.将算法的原始数据训练模型残差与增量数据训练模型残差进行加权作为代价函数,推导出用于均衡原始数... 详细信息

针对在线序贯极限学习机(OS-ELM)对增量数据学习效率低、准确性差的问题,提出一种基于增量加权平均的在线序贯极限学习机(WOS-ELM)算法.将算法的原始数据训练模型残差与增量数据训练模型残差进行加权作为代价函数,推导出用于均衡原始数据与增量数据的训练模型,利用原始数据来弱化增量数据的波动,使在线极限学习机具有较好的稳定性,从而提高算法的学习效率和准确性.仿真实验结果表明,所提出的WOS-ELM算法对增量数据具有较好的预测精度和泛化能力.

关键词：单隐层前馈型神经网络在线序贯极限学习机加权平均增量代价函数

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Multi boron-doping effects in hard carbon toward enhanced sodium ion storage

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Journal of Energy Chemistry 2025年第1期100卷 730-738页

作者： Peng Zheng Wang Zhou ying Mo Biao Zheng Miaomiao Han Qin Zhong wenwen yang Peng Gao Lezhi yang Jilei Liu College of Materials Science and Engineering Hunan Joint International Laboratory of Advanced Materials and Technology for Clean Energy Hunan Province Key Laboratory for Advanced Carbon Materials and Applied Technology Hunan University Greater Bay Area Institute for Innovation Hunan University Changsha Research Institute of Mining & Metallurgy Co. LTD.

Hard carbon （HC） has been considered as promising anode material for sodium-ion batteries （SIBs）.The optimization of hard carbon’s microstructure and solid electrolyte interface （SEI） property are demonstrated effective in enhancing the Na+storage capability,however,a one-step regulation strategy to achieve simultaneous multi-scale structures optimization is highly ***,we have systematically investigated the effects of boron doping on hard carbon’s microstructure and interface chemistry.A variety of structure characterizations show that appropriate amount of boron doping can increase the size of closed pores via rearrangement of carbon layers with improved graphitization degree,which provides more Na+storage ***-situ Fourier transform infrared spectroscopy/electrochemical impedance spectroscopy （FTIR/EIS） and X-ray photoelectron spectroscopy （XPS） analysis demonstrate the presence of more BC3and less B–C–O structures that result in enhanced ion diffusion kinetics and the formation of inorganic rich and robust SEI,which leads to facilitated charge transfer and excellent rate *** a result,the hard carbon anode with optimized boron doping content exhibits enhanced rate and cycling *** general,this work unravels the critical role of boron doping in optimizing the pore structure,interface chemistry and diffusion kinetics of hard carbon,which enables rational design of sodium-ion battery anode with enhanced Na+storage performance.

关键词： X ray photoelectron spectroscopy

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Targeting TrkB–PSD-95 coupling to mitigate neurological disorders

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Neural Regeneration Research 2025年第3期20卷 715-724页

作者： Xin yang Yu-wen Alvin Huang John Marshall Department of Molecular Biology Cell Biology and BiochemistryBrown UniversityProvidenceRIUSA Department of Neurology Warren Alpert Medical School of Brown UniversityProvidenceRIUSA Center for Translational Neuroscience Robert J.and Nancy D.Carney Institute for Brain Science and Brown Institute for Translational ScienceBrown UniversityProvidenceRIUSA

Tropomyosin receptor kinase B(TrkB)signaling plays a pivotal role in dendritic growth and dendritic spine formation to promote learning and *** activity-dependent release of brain-derived neurotrophic factor at synapses binds to pre-or postsynaptic TrkB resulting in the strengthening of synapses,reflected by long-term ***,the association of postsynaptic density protein-95 with TrkB enhances phospholipase Cγ-Ca^(2+)/calmodulin-dependent protein kinaseⅡand phosphatidylinositol 3-kinase-mechanistic target of rapamycin signaling required for long-term *** this review,we discuss TrkB-postsynaptic density protein-95 coupling as a promising strategy to magnify brain-derived neurotrophic factor signaling towards the development of novel therapeutics for specific neurological disorders.A reduction of TrkB signaling has been observed in neurodegenerative disorders,such as Alzheimer's disease and Huntington's disease,and enhancement of postsynaptic density protein-95 association with TrkB signaling could mitigate the observed deficiency of neuronal connectivity in schizophrenia and *** with brain-derived neurotrophic factor is problematic,due to poor pharmacokinetics,low brain penetration,and side effects resulting from activation of the p75 neurotrophin receptor or the truncated TrkB.T1 *** TrkB agonists and antibodies that activate TrkB are being intensively investigated,they cannot distinguish the multiple human TrkB splicing isoforms or cell type-specific *** TrkB–postsynaptic density protein-95 coupling provides an alternative approach to specifically boost TrkB signaling at localized synaptic sites versus global stimulation that risks many adverse side effects.

关键词： Angelman syndrome autism brain-derived neurotrophic factor depression neurodegenerative disorder neurodevelopmental disorder postsynaptic density protein-95 synaptic plasticity TrkB

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Deciphering fungal metabolon coupling tandem inverse-electrondemand Diels-Alder reaction and semipinacol rearrangement for the biosynthesis of spiro polycyclic alkaloids

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Science China Chemistry 2025年第01期 288-296页

作者： Shuai Liu wen-Qiang Xu ying-Tong Di Man-Cheng Tang Ding-Kang Chen Ming-Ming Cao Yao-wen Chang Hong-Yu Tang Chun-Mao Yuan Jun-Bo yang Zhi-Li Zuo Han Guo Zi-Fei Xu ying Zeng Yun-Dong Wu Xiao-Jiang Hao Key Laboratory of Phytochemistry and Natural Medicines (Chinese Academy of Sciences) Kunming Institute of Botany Chinese Academy of Sciences University of Chinese Academy of Sciences Lab of Computational Chemistry and Drug Design State Key Laboratory of Chemical Oncogenomics Peking University Shenzhen Graduate School Shenzhen Bay Laboratory State Key Laboratory of Microbial Metabolism School of Life Sciences & Biotechnology Shanghai Jiao Tong University State Key Laboratory of Functions and Applications of Medicinal Plants Guizhou Medical University Molecular Biology Experimental Center Germplasm Bank of Wild Species in Southwest China Kunming Institute of Botany Chinese Academy of Sciences Yunnan Key Laboratory for Wild Plant Resources Kunming Institute of Botany Chinese Academy of Sciences Research Unit of Chemical Biology of Natural Anti-Virus Products Chinese Academy of Medical Sciences

In the intricate process of natural product biosynthesis, a metabolon can enhance metabolic flux by associating sequential enzymes. A fungal metabolon, comprising of flavin-dependent monooxygenase Spe F and P450 monooxygenase Spe G, is identified in the biosynthesis of spiro polycyclic alkaloids(+)-notoamide B and its diastereomer(+)-versicolamide B. Using notoamide E as a substance, Spe F/Spe G metabolon can control the stereoselectivity of its 2,3-epoxidation, followed by hydrogen atom ion at C-17 to generate reactive epoxide tau-m A with dienyl iminium unit. Subsequently,(+)-notoamide B and(+)-versicolamide B are produced via tandem nonenzymatic inverse-electron-demand Diels-Alder reaction and semipinacol rearrangement. This provides the first example of metabolon in the biosynthesis of spiro-prenylated indole alkaloids.

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The detection, extraction and parameter estimation of extreme-mass-ratio inspirals with deep learning

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Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 86-96页

作者： Qianyun Yun wen-Biao Han Yi-yang Guo He Wang Minghui Du Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences Shanghai Astronomical Observatory Chinese Academy of Sciences School of Physics and Astronomy Shanghai Jiao Tong University School of Astronomy and Space Science University of Chinese Academy of Sciences Taiji Laboratory for Gravitational Wave Universe (Beijing/Hangzhou) University of Chinese Academy of Sciences Lanzhou Center for Theoretical Physics Key Laboratory of Theoretical Physics of Gansu Province Key Laboratory of Quantum Theory and Applications of MoE Lanzhou University Institute of Theoretical Physics & Research Center of Gravitation Lanzhou University International Centre for Theoretical Physics Asia-Pacific (ICTP-AP) University of Chinese Academy of Sciences (UCAS) Center for Gravitational Wave Experiment National Microgravity Laboratory Institute of Mechanics Chinese Academy of Sciences

One of the primary goals of space-borne gravitational wave detectors is to detect and analyze extreme-mass-ratio inspirals(EMRIs). This task is particularly challenging because EMRI signals are complex, lengthy, and faint. In this work, we introduce a2-layer convolutional neural network(CNN) approach to detect EMRI signals for space-borne detectors, achieving a true positive rate(TPR) of 96.9% at a 1% false positive rate(FPR) for signal-to-noise ratio(SNR) from 50 to 100. Especially, the key intrinsic parameters of EMRIs such as the mass, spin of the supermassive black hole(SMBH) and the initial eccentricity of the orbit can also be inferred directly by employing a neural network. The mass and spin of the SMBH can be determined at 99% and 92% respectively. This will greatly reduce the parameter spaces and computing cost for the following Bayesian parameter *** model also has a low dependency on the accuracy of the waveform model. This study underscores the potential of deep learning methods in EMRI data analysis, enabling the rapid detection of EMRI signals and efficient parameter estimation.

关键词： gravitational wave EMRIs deep-learing

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