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Chronic sleep deprivation induces alterations in DNA and RNA modifications by liquid chromatography-mass spectrometry analysis

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Chinese Chemical Letters 2024年第8期35卷 413-417页

作者： Tian Feng yun-Ling Gao Di Hu ke-yu yuan Shu-Yi Gu Yao-Hua Gu Si-yu yu Jun Xiong yu-Qi Feng Jie Wang Bi-Feng yuan School of Public Health Research Center of Public HealthRenmin Hospital of Wuhan UniversityWuhan UniversityWuhan 430071China Department of Radiation and Medical Oncology Zhongnan Hospital of Wuhan UniversityWuhan UniversityWuhan 430071China key Laboratory of Magnetic Resonance in Biological Systems State Key Laboratory of Magnetic Resonance and Atomic and Molecular PhysicsNational Center for Magnetic Resonance in WuhanWuhan Institute of Physics and MathematicsInnovation Academy for Precision Measurement Science and TechnologyChinese Academy of Sciences-Wuhan National Laboratory for OptoelectronicsWuhan 430071China University of Chinese Academy of Sciences Beijing 101408China Institute of Neuroscience and Brain Diseases Xiangyang Central HospitalAffiliated Hospital of Hubei University of Arts and ScienceXiangyang 441000China Phase I Clinical Trial Laboratory Zhongnan Hospital of Wuhan UniversityWuhan 430071China

Sleep deprivation(SD)is a widespread issue that disrupts the lives of millions of *** effects ini-tiate as changes within neurons,specifically at the DNA and RNA level,leading to disruptions in neuronal plasticity and the dysregulation of various cognitive functions,such as learning and *** acid epigenetic modifications that could regulate gene expression have been reported to play crucial roles in this ***,there is a lack of comprehensive research on the correlation of SD with nucleic acid epigenetic *** the current study,we aimed to systematically investigate the landscape of modifications in DNA as well as in small RNA molecules across multiple tissues,including the heart,liver,kidney,lung,hippocampus,and spleen,in response to chronic sleep deprivation(CSD).Using liquid chromatography-tandem mass spectrometry(LC-MS/MS)analysis,we characterized the dynamic changes in DNA and RNA modification profiles in different tissues of mice under CSD ***,we ob-served a significant decrease in the level of 5-methylcytosine(5mC)and a significant increase in the level of 5-hydroxymethylcytosine(5hmC)in the kidney in CSD *** RNA modifications,we observed an overall increased trend for most of these significantly changed modifications across six tis-sues in CSD *** study sheds light on the significance of DNA and RNA modifications as crucial epigenetic markers in the context of CSD-induced stress.

关键词： Sleep deprivation Epigenetics Mass spectrometry DNA modification RNA modification Small RNA

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Metabolome profiling by widely-targeted metabolomics and biomarker panel selection using machine-learning for patients in different stages of chronic kidney disease

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Chinese Chemical Letters 2024年第11期35卷 266-272页

作者： Yao-Hua Gu yu Chen Qing Li Neng-Bin Xie Xue Xing Jun Xiong Min Hu Tian-Zhou Li ke-yu yuan yu Liu Tang Tang Fan He Bi-Feng yuan Department of Occupational and Environmental Health School of Public HealthResearch Center of Public HealthRenmin Hospital of Wuhan UniversityWuhan UniversityWuhan 430071China School of Nursing Wuhan UniversityWuhan 430071China Metware Biotechnology Co. Ltd.Wuhan 430075China Department of Nephrology Tongji HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030China key Laboratory of Vascular Aging Ministry of EducationTongji HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030China Department of Radiation and Medical Oncology Cancer Precision Diagnosis and Treatment and Translational Medicine Hubei Engineering Research CenterZhongnan Hospital of Wuhan UniversityWuhan Research Center for Infectious Diseases and CancerChinese Academy of Medical SciencesWuhan 430071China

Chronic kidney disease(CKD)is an increasingly prevalent medical condition associated with high mortality and cardiovascular *** intricate interplay between kidney dysfunction and subsequent metabolic disturbances may provide insights into the underlying mechanisms driving CKD onset and ***,we proposed a large-scale plasma metabolite identification and quantification system that combines the strengths of targeted and untargeted metabolomics technologies,i.e.,widely-targeted metabolomics(WT-Met)***-Met method enables large-scale identification and accurate quantification of thousands of *** collected plasma samples from 21 healthy controls and 62CKD patients,categorized into different stages(22 in stages 1-3,20 in stage 4,and 20 in stage 5).Using LC-MS-based WT-Met approach,we were able to effectively annotate and quantify a total of 1431metabolites from the plasma *** on the 539 endogenous metabolites,we identified 399significantly altered metabolites and depicted their changing patterns from healthy controls to end-stage ***,we employed machine-learning to identify the optimal combination of metabolites for predicting different stages of *** generated a multiclass classifier consisting of 7 metabolites by machine-learning,which exhibited an average AUC of 0.99 for the test *** general,amino acids,nucleotides,organic acids,and their metabolites emerged as the most significantly altered ***,their patterns of change varied across different stages of *** 7-metabolite panel demonstrates promising potential as biomarker candidates for *** exploration of these metabolites can provide valuable insights into their roles in the etiology and progression of CKD.

关键词： Widely-targeted metabolomics Machine-learning Chronic kidney disease Biomarker Mass spectrometry

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Overexpression of CD155 is associated with PD-1 and PD-L1 expression on immune cells,rather than tumor cells in the breast cancer microenvironment

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World Journal of Clinical Cases 2020年第23期8卷 5935-5943页

作者： Rui-Bin Wang yu-Chen Li Quan Zhou Shu-Zhen Lv ke-yu yuan Jiang-Ping Wu Yan-Jie Zhao Qing-KunSong Bin Zhu Department of Emergency Beijing Shijitan HospitalCapital Medical UniversityBeijing 100038China Department of Cancer Research Beijing Shijitan HospitalCapital Medical UniversityBeijing 100038China Department of Pathology Beijing Shijitan HospitalCapital Medical UniversityBeijing 100038China Department of Breast Surgery Beijing Shijitan HospitalCapital Medical UniversityBeijing 100038China Department of Medical Oncology Beijing Shijitan HospitalCapital Medical UniversityBeijing 100038China Department of Clinical Epidemiology and Evidence-based Medicine Beijing Shijitan HospitalBeijing 100038China Department of Surgical Oncology Beijing Shijitan HospitalCapital Medical UniversityBeijing 100038China

BACKGROUND CD155 is an immune checkpoint protein in cancers and interacts with ligands to regulate the immune *** expression of CD155 is correlated with the prognosis and pathological features of breast *** To investigate the expression status of CD155 and the association with exhausted CD4+helper and CD8+cytotoxic tumor infiltrating lymphocytes(TILs)and PD-L1 in the breast cancer *** One hundred and twenty-six breast cancer patients with invasive ductal breast cancer were consecutively recruited into this *** was used to detect the expression CD155,PD-L1 and PD-1 on tumor-infiltrating immune cells and tumor cells in the *** The proportion of patients with CD155 expression was higher in triple negative breast cancer(72.7%)than in Luminal A patients(22.2%,P<0.05).Patients with positive CD155 expression had a higher percentage of CD4+/PD-1+helper TILs(30%)than patients with negative CD155 expression(21%,P<0.05).Patients with positive CD155 expression also had higher cell counts of exhausted CD4+TILs[47 vs 20/high-power fields(HPF)]and unexhausted CD8+TILs(30 vs 17/HPF)than patients with negative expression(P<0.05).CD155 expression was correlated with increased PD-L1 expression in immune cells,0.8%and 0.02%immune cells expressed PD-L1 in patients with positive and negative CD155 expression,respectively(P<0.05).CONCLUSION CD155 was related to an inhibitory immune breast cancer ***155 was associated with a high proportion of exhausted CD4+and unexhausted CD8+TILs and high PD-L1 expression in immune cells.

关键词： Breast cancer CD155 PD-1 PD-L1 Tumor-infiltrating lymphocytes Immune cells

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基于KPCA与KFDA的SAR图像舰船目标识别

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舰船科学技术 2017年第7期39卷 149-152页

作者：刘磊孟祥伟于柯远海军航空工程学院电子与信息工程系山东烟台264001

针对SAR图像中舰船目标识别的问题,提出了基于核主成分分析(kernel Principal Component Analysis,KPCA)和核Fisher判别分析(kernel Fisher Discriminate Analysis,KFDA)相结合的舰船目标识别算法。用核主成分分析的方法对实测的SAR舰船目标数据进行特征降维,再结合核Fisher判别分析法对降维后的样本数据进行多类别分类。将该方法用于对实测的四类舰船目标进行识别,平均识别率可达91.25%。实验结果表明,核主成分分析与核Fisher判别分析相结合的方法可提取目标的有效特征,在较低特征维数情况下获得较高的目标正确识别率。

关键词： SAR图像目标识别特征提取核主成分分析核Fisher判别分析

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Correlation between the rock mass properties and maximum horizontal stress:A case study of overcoring stress measurements

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International Journal of Minerals,Metallurgy and Materials 2025年第1期32卷 39-48页

作者： Peng Li Meifeng Cai Shengjun Miao yuan Li yu Wang key Laboratory of Ministry of Education for Efficient Mining and Safety of Metal Mines University of Science and Technology BeijingBeijing 100083China State key Laboratory of Coal Resources and Safe Mining China University of Mining and TechnologyXuzhou 221116China

Understanding the mechanical properties of the lithologies is crucial to accurately determine the horizontal stress *** investigate the correlation between the rock mass properties and maximum horizontal stress,the three-dimensional(3D)stress tensors at 89 measuring points determined using an improved overcoring technique in nine mines in China were adopted,a newly defined characteristic parameter C_(ERP)was proposed as an indicator for evaluating the structural properties of rock masses,and a fuzzy relation matrix was established using the information distribution *** results indicate that both the vertical stress and horizontal stress exhibit a good linear growth relationship with *** is no remarkable correlation between the elastic modulus,Poisson's ratio and depth,and the distribution of data points is scattered and ***,there is no obvious relationship between the rock quality designation(RQD)and *** maximum horizontal stress σ_(H) is a function of rock properties,showing a certain linear relationship with the C_(ERP)at the same *** addition,the overall change trend of σ_(H) determined by the established fuzzy identification method is to increase with the increase of C_(ERP).The fuzzy identification method also demonstrates a relatively detailed local relationship betweenσ_H and C_(ERP),and the predicted curve rises in a fluctuating way,which is in accord well with the measured stress data.

关键词： overcoring stress measurements elastic modulus Poisson's ratio rock quality designation maximum horizontal stress fuzzy identification

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Dynamic Regulation of Hydrogen Bonding Networks and Solvation Structures for Synergistic Solar‑Thermal Desalination of Seawater and Catalytic Degradation of Organic Pollutants

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Nano-Micro Letters 2025年第2期17卷 548-565页

作者： Ming‑yuan yu Jing Wu Guang Yin Fan‑Zhen Jiao Zhong‑Zhen yu Jin Qu Beijing key Laboratory of Advanced Functional Polymer Composites Beijing University of Chemical TechnologyBeijing 100029People’s Republic of China State key Laboratory of Organic‑Inorganic Composites College of Materials Science and EngineeringBeijing University of Chemical TechnologyBeijing 100029People’s Republic of China

Although solar steam generation strategy is efficient in desalinating seawater,it is still challenging to achieve continuous solar-thermal desalination of seawater and catalytic degradation of organic ***,dynamic regulations of hydrogen bonding networks and solvation structures are realized by designing an asymmetric bilayer membrane consisting of a bacterial cellulose/carbon nanotube/Co_(2)(OH)_(2)CO_(3)nanorod top layer and a bacterial cellulose/Co_(2)(OH)_(2)CO_(3)nanorod(BCH)bottom ***,the hydrogen bonding networks inside the membrane can be tuned by the rich surface–OH groups of the bacterial cellulose and Co_(2)(OH)_(2)CO_(3)as well as the ions and radicals in situ generated during the catalysis ***,both SO_(4)^(2−)and HSO_(5)−can regulate the solvation structure of Na^(+)and be adsorbed more preferentially on the evaporation surface than Cl^(−),thus hindering the de-solvation of the solvated Na^(+)and subsequent nucleation/growth of ***,the heat generated by the solar-thermal energy conversion can accelerate the reaction kinetics and enhance the catalytic degradation *** work provides a flow-bed water purification system with an asymmetric solar-thermal and catalytic membrane for synergistic solar thermal desalination of seawater/brine and catalytic degradation of organic pollutants.

关键词： Solar steam generation Seawater desalination Catalytic degradation Bacterial cellulose Cobalt hydroxycarbonate nanorods

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Computed tomography enterography-based radiomics for assessing mucosal healing in patients with small bowel Crohn's disease

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World Journal of Gastroenterology 2025年第3期31卷 62-72页

作者： Hao Ding yuan-yuan Fang Wen-Jie Fan Chen-yu Zhang Shao-Fei Wang Jing Hu Wei Han Qiao Mei Department of Gastroenterology The First Affiliated Hospital of Anhui Medical UniversityHefei 230022Anhui ProvinceChina Department of Radiation Oncology The First Affiliated Hospital of Anhui Medical UniversityHefei 230022Anhui ProvinceChina Department of Gastroenterology Suzhou First People's HospitalSuzhou 234099Anhui ProvinceChina

BACKGROUND Mucosal healing(MH)is the major therapeutic target for Crohn's disease(CD).As the most commonly involved intestinal segment,small bowel(SB)assessment is crucial for CD ***,it poses a significant challenge due to its limited accessibility through conventional endoscopic *** To establish a noninvasive radiomic model based on computed tomography enterography(CTE)for MH assessment in SBCD *** Seventy-three patients diagnosed with SBCD were included and divided into a training cohort(n=55)and a test cohort(n=18).Radiomic features were obtained from CTE images to establish a radiomic *** demographics were analysed to establish a clinical model.A radiomic-clinical nomogram was constructed by combining significant clinical and radiomic *** diagnostic efficacy and clinical benefit were evaluated via receiver operating characteristic(ROC)curve analysis and decision curve analysis(DCA),*** Of the 73 patients enrolled,25 patients achieved *** radiomic-clinical nomogram had an area under the ROC curve of 0.961(95%confidence interval:0.886-1.000)in the training cohort and 0.958(0.877-1.000)in the test cohort and provided superior clinical benefit to either the clinical or radiomic models alone,as demonstrated by *** These results indicate that the CTE-based radiomic-clinical nomogram is a promising imaging biomarker for MH and serves as a potential noninvasive alternative to enteroscopy for MH assessment in SBCD patients.

关键词： Crohn’s disease Computed tomography enterography Mucosal healing Nomogram Radiomics

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移动多跳中继网络中的混合式认证延时性能分析

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计算机科学 2015年第2期42卷 46-49,54页

作者：鲁蔚锋於科远陈思光南京邮电大学计算机学院南京210003 江苏省无线传感网高技术研究重点实验室南京210003 宽带无线通信与传感网技术教育部重点实验室南京210003 南京邮电大学物联网学院南京210003

首先分析了在移动多跳中继(Mobile Multihop Relay,MMR)WiMAX网络中,新的移动中继(Relay Station,RS)节点在进入网络之前存在的两种认证方案:集中式和分布式接入认证方案。接着在这两种接入认证方式的基础上,提出了一种新的混合式认证... 详细信息

首先分析了在移动多跳中继(Mobile Multihop Relay,MMR)WiMAX网络中,新的移动中继(Relay Station,RS)节点在进入网络之前存在的两种认证方案:集中式和分布式接入认证方案。接着在这两种接入认证方式的基础上,提出了一种新的混合式认证方案。然后使用排队论对集中式和混合式认证方案在不同中继节点分布下的认证延时性能进行了分析。最后数值分析结果表明,混合式认证方案相较于集中式认证方案在认证延时性能方面具有更大的优势。

关键词：全球微波互联接入移动多跳中继网络混合式认证延时

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基于重叠分段MCMC的直扩信号扩频参数估计

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计算机仿真 2020年第2期37卷 197-202页

作者：孙雪丽钟兆根于柯远海军航空大学山东烟台264001

针对多径信道环境下长码DSSS信号的盲解扩问题,提出了一种基于重叠分段和马尔科夫链蒙特卡罗(MCMC)的估计算法。算法首先将接收到的基带信号划分为若干前后重叠的短时片段,然后分别采用MCMC算法估计出每段的扩频码和信息序列,最后利用... 详细信息

针对多径信道环境下长码DSSS信号的盲解扩问题,提出了一种基于重叠分段和马尔科夫链蒙特卡罗(MCMC)的估计算法。算法首先将接收到的基带信号划分为若干前后重叠的短时片段,然后分别采用MCMC算法估计出每段的扩频码和信息序列,最后利用片段间重叠部分的相似性完成序列拼接。仿真结果表明,上述算法可同时用于短码和长码信号,且不受扩频序列类型的限制。在低信噪比条件下,扩频码和信息序列均能获得较好的估计性能,能够满足工程的实际需求。

关键词：直接序列扩频长码马尔科夫链蒙特卡罗扩频码信息序列

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基于K-S检验的MIMO-STBC盲识别技术

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计算机仿真 2022年第4期39卷 124-128,222页

作者：金堃于柯远凌青闫文君海军航空大学航空基础学院山东烟台264001 海军航空大学信息融合研究所山东烟台264001

针对频率选择性衰落信道下STBC信号的盲识别问题,提出了一种基于Kolmogorov-Smirnov (K-S)检验的盲识别算法。算法在单接收天线条件下,首先采用分段建模的思想对STBC信号及频率选择性衰落信道进行建模,将接收信号分成两段;然后通过K-S... 详细信息

针对频率选择性衰落信道下STBC信号的盲识别问题,提出了一种基于Kolmogorov-Smirnov (K-S)检验的盲识别算法。算法在单接收天线条件下,首先采用分段建模的思想对STBC信号及频率选择性衰落信道进行建模,将接收信号分成两段;然后通过K-S检验接收信号在不同时延下的经验累积分布函数之间的距离,将其与门限值对比,采用决策树分类的方法达到盲识别STBC的目的。仿真结果表明,提出的K-S检验算法提高了样本的利用率,且不需要预知信道、噪声等信息,能够进行四种STBC信号的盲识别,适合于非合作通信场合。

关键词：空时分组码盲识别频率选择性衰落

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