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Prognostic model based on six PD-1 expression and immune infiltration-associated genes predicts survival in breast cancer

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BREAST CANCER 2022年第4期29卷 666-676页

作者： Shen Junjun Wang Yangyanqiu Zhuang Jing Pu Jie Chu Jian pan Yuefen Han shuwen Huzhou Univ Affiliated Cent Hosp Huzhou Cent Hosp Dept Med Oncol 1558 Sanhuan North Rd Huzhou 313000 Zhejiang Peoples R China Zhejiang Univ Grad Sch Med Coll 268 Kaixuan Rd Hangzhou 310029 Zhejiang Peoples R China Huzhou Univ Huzhou Cent Hosp Affiliated Cent Hosp Dept Oncol 1558 Sanhuan North Rd Huzhou 313000 Zhejiang Peoples R China Huzhou Univ Grad Sch Nursing 1 Bachelor Rd Huzhou 313000 Zhejiang Peoples R China Zhejiang Chinese Med Univ Clin Med Fac 2 Grad Sch 548 Binwen Rd Hangzhou 310053 Zhejiang Peoples R China Huzhou Univ Affiliated Cent Hosp Huzhou Cent Hosp Dept Oncol 1558 Sanhuan North Rd Huzhou 1558 Zhejiang Peoples R China

Background The prognosis of breast cancer (BC) was associated with the expression of programmed cell death-1 (PD-1). Methods BC-related expression and clinical data were downloaded from TCGA database. PD-1 expression with overall survival and clinical factors were investigated. Gene set variation analysis (GSVA) and weighted gene correlation network analysis were performed to investigate the PD-1 expression-associated KEGG pathways and genes, respectively. Immune infiltration was analyzed using the ssGSEA algorithm and DAVID, respectively. Univariate and multivariable Cox and LASSO regression analyses were performed to select prognostic genes for modeling. Results High PD-1 expression was related to prolonged survival time (P = 0.014). PD-1 expression status showed correlations with age, race, and pathological subtype. ER- and PR-negative patients exhibited high PD-1 expression. The GSVA revealed that high PD-1 expression was associated with various immune-associated pathways, such as T cell/B cell receptor signaling pathway or natural killer cell-mediated cytotoxicity. The patients in the high-immune infiltration group exhibited significantly higher PD-1 expression levels. In summary, 397 genes associated with both immune infiltration and PD-1 expression were screened. Univariate analysis and LASSO regression model identified the six most valuable prognostic genes, namely IRC3, GBP2, IGJ, KLHDC7B, KLRB1, and RAC2. The prognostic model could predict survival for BC patients. Conclusion High PD-1 expression was associated with high-immune infiltration in BC patients. Genes closely associated with PD-1, immune infiltration and survival prognosis were screened to predict prognosis.

关键词： Breast cancer Programmed cell death-1 Immune infiltration Prognosis Immunotherapy

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A Low-Noise High-Voltage Rail-to-Rail Operational Amplifier with Gain Stabilization and Slew-Rate Enhancement 27

A Low-Noise High-Voltage Rail-to-Rail Operational Amplifier ...

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27th International Symposium on Design & Diagnostics of Electronic Circuits & Systems (DDECS)

作者： pan, Jie Li, Fanyang Yuan, Yidong Zhao, Tianting Shen, Hongwei Wen, Liguo Hu, Yi Jin, Jiazhen Wu, shuwen Beijing Smart Chip Microelect Technol Co Ltd Beijing Peoples R China Fuzhou Univ Coll Phys & Informat Engn Fuzhou Peoples R China

ISBN: (纸本)9798350359343

This paper proposes a low-noise high-voltage rail-to-rail operational amplifier based on BCD process. For the protection of low-voltage devices in input stage, this paper proposes a common-mode voltage following circuit which not only realizes the stable performance of low-voltage input devices but also improves the gain under full supply voltage. In order to improve the response speed of large signals, this paper proposes a dynamic slew-rate enhancement technology to achieve the characteristics of low quiescent current and large slew-rate. Besides, this paper optimized the low-frequency noise of the proposed architecture. The circuit uses 180nmBCD process, and the simulation results show that after applying the above technology, the supply voltage range is 3.5-36 V, the quiescent current is about 0.99 mA, the equivalent input noise is 0.82 uVp-p, the slew-rate is 15.2 V/us, the setting time is 0.66 us and the open loop gain is 135 dB in full supply voltage range.

关键词： operational amplifier input stage protection slew-rate enhancement

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Sunlight-Induced Interfacial Electron Transfer of Ferrihydrite under Oxic Conditions: Mineral Transformation and Redox Active Species Production

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ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022年第19期56卷 14188-14197页

作者： Shu, Zhipeng pan, Zezhen Wang, Xingxing He, Haohua Yan, shuwen Zhu, Xiuping Song, Weihua Wang, Zimeng Fudan Univ Dept Environm Sci & Engn Cluster Interfacial Proc Pollut CIPAP Shanghai 200438 Peoples R China Shanghai Inst Pollut Control & Ecol Secur Shanghai 200092 Peoples R China

Fe(II)-catalyzed ferrihydrite transformation under anoxic conditions has been intensively studied, while such mechanisms are insufficient to be applied in oxic environments with depleted Fe(II). Here, we investigated expanded pathways of sunlight-driven ferrihydrite transformation in the presence of dissolved oxygen, without initial addition of dissolved Fe(II). We found that sunlight significantly facilitated the transformation of ferrihydrite to goethite compared to that under dark conditions. Redox active species (hole-electron pairs, reactive radicals, and Fe(II)) were produced from the ferrihydrite interface via the photoinduced electron transfer processes. Experiments with systematically varied wet chemistry conditions probed the relative contributions of three pathways for the production of hydroxyl radicals: (1) oxidation of water (5.0%);(2) reduction of dissolved oxygen (40.9%);and (3) photolysis of Fe(III)-hydroxyl complexes (54.1%). Results also showed superoxide radicals as the main oxidant for Fe(II) reoxidation under acidic conditions, thus promoting the ferrihydrite transformation. The presence of inorganic ions (chloride, sulfate, and nitrate) did not only affect the hydrolysis and precipitation of Fe(III) but also the generation of radicals via photoinduced charge transfer reactions. The involvement of redox active species and the accompanying mineral transformations would exert a profound effect on the fate of multivalent elements and organic contaminants in aquatic environments.

关键词： Fe redox cycling photoinduced charge transfer ferrihydrite transformation acid mine drainage reactive radical ligand

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PD-L2 of tumor-derived exosomes mediates the immune escape of cancer cells via the impaired T cell function

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CELL DEATH & DISEASE 2024年第11期15卷 800页

作者： Liu, Tongfeng Cheng, shuwen Peng, Bo Zang, Haojing Zhu, Xiaofeng Wang, Xuetong Zhao, Xujie Gu, Yinmin pan, Yongbo Hu, Hongbo Gao, Shan Guizhou Univ Med Coll Guiyang Peoples R China Southeast Univ Zhongda Hosp Adv Inst Life & Hlth Sch Life Sci & Technol Nanjing Peoples R China Nanjing Univ Med Sch Nanjing Peoples R China Univ Sci & Technol China Sch Biomed Engn Suzhou Div Life Sci & Med Hefei Peoples R China Shanxi Med Univ Dept Microbiol & Immunol Taiyuan Shanxi Peoples R China Guangdong Acad Med Sci Guangdong Prov Peoples Hosp Guangdong Cardiovasc Inst Taiyuan Peoples R China Sichuan Univ West China Hosp Ctr Immunol & Hematol Dept Biotherapy Chengdu Peoples R China Sichuan Univ West China Hosp Canc Ctr State Key Lab Biotherapy Chengdu Peoples R China

The function of PD-1/PD-L1 axis have been intensively studied for immune escape of various cancers. However, the underlying function of PD-L2 remains poorly understood. Here, we demonstrate that PD-L2 is majorly expressed in exosomes with surface localization by clear cell renal cell carcinoma (ccRCC) cells. Tumor cell-derived exosome PD-L2 (TDE-PD-L2) exhibits high expression compared with TDE-PD-L1 in various cancers. In the absence of adaptive immune, TDE-PD-L2 suppresses tumor growth and metastasis. Under immune competence condition, TDE-PD-L2 is hijacked by immune cells in a PD-1-dependent manner to systematically dampen function of T cells via the increased proportion of the regulatory T cells and the decreased proportion of cytotoxic CD8+ T cells in both tumor-infiltrating T cells and spleen. The effects of TDE-PD-L2 on tumor is restored by antibodies targeting PD-L2. Collectively, we demonstrate that PD-1/TDE-PD-L2 axis systematically suppresses T cell functions, representing a potentially therapeutic strategy for ccRCC treatment.

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A Hyperbolic Embedding Method for Weighted Networks

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IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING 2021年第1期8卷 599-612页

作者： Yi, shuwen Jiang, Hao Jiang, Ying Zhou, pan Wang, Qiang Wuhan Univ Elect Informat Sch Wuhan 430072 Peoples R China Sun Yat Sen Univ Sch Data & Comp Sci Guangzhou 510000 Peoples R China Huazhong Univ Sci & Technol Hubei Engn Res Ctr Big Data Secur Sch Cyber Sci & Engn Wuhan 430074 Peoples R China Wuhan Univ Dept Commun & Informat Syst Elect Informat Sch Wuhan 430072 Peoples R China

Network embedding, which is the task of learning low-dimensional representations of vertices, has attracted increasing attention recently. Evidences have been found that the hidden metric space of many realistic complex networks is hyperbolic. The topology and weight emerge naturally as reflections of the hyperbolic metric property. A common objective of hyperbolic embedding is to maximize the likelihood function of the hyperbolic network model. The difficulty is that the likelihood function is non-concave which is difficult to optimize. In this paper, we propose a hyperbolic embedding method for weighted networks. To prevent the optimization from falling into numerous local optima, initial embedding is obtained by approximation. A proposed gradient algorithm then improves the embedding according to the likelihood function. Experiments on synthetic and real networks show that the proposed method achieves good embedding performance with respect to different quality metrics and applications.

关键词： Measurement Geometry Complex networks Approximation algorithms Topology Task analysis Probability density function Hyperbolic space network embedding weighted complex network

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Ebola Virus Glycoprotein Impairs Human Retinal Pigment Epithelial Barrier Function via the PI3K/Akt-Nrf2 Pathway

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ACS INFECTIOUS DISEASES 2025年第5期11卷 1203-1215页

作者： Chen, Shaoying Wu, Dingzhou Deng, Xiujiao Zhan, Qingping pan, Zhizhi Chen, Zhuo Liu, Zijia Chen, Chuqing Chen, Yuliu Li, Lin Liu, shuwen Tan, Suiyi Southern Med Univ Sch Pharmaceut Sci NMPA Key Lab Res & Evaluat Drug Metab Guangdong Prov Key Lab New Drug Screening Guangzhou 510515 Peoples R China Southern Med Univ Key Lab Infect Dis Res South China Minist Educ Guangzhou 510515 Peoples R China

Ebola virus (EBOV) causes deadly Ebola virus disease (EVD), and EVD survivors are at high risk of developing blinding ocular complications, which associate with the breakdown of human retinal pigment epithelial (RPE) barrier. Here, we demonstrated EBOV glycoprotein (GP) could directly impair RPE barrier function. EBOV GP significantly decreased expression of tight junction (TJ) proteins in RPE monolayers, resulting in an increase of monolayer permeability. EBOV GP activated PI3K/Akt pathway and induced oxidative stress in RPE cells as evidenced by an increase in the production of reactive oxygen species (ROS), decreased expression of an antioxidant factor, nuclear factor erythroid 2-related factor 2 (Nrf2), and its downstream proteins heme oxygenase 1 (HO-1) and NAD(P)H dehydrogenase (quinone) 1 (NQO1). We found activating Nrf2 could counteract EBOV GP-induced RPE barrier injury. Furthermore, GP2 subunit is the key region in the GP that impairs RPE barrier function. Destruction of RPE barrier function by EBOV GP leads to translocation of bacteria and HIV-1. We confirmed EBOV GP-mediated impairment of RPE barrier function in mice. As an Nrf2 activator, resveratrol displays protective effects on the RPE barrier function. Collectively, our study demonstrates EBOV GP impairs the RPE barrier function through PI3K/Akt-Nrf2 pathway and resveratrol is a promising therapeutic agent for EVD-associated retinal complications.

关键词： EBOV glycoprotein retinal pigment epithelial PI3K/Akt Nrf2 resveratrol

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Effect of phase distribution and defect passivation on amplified spontaneous emission of quasi-2D Dion-Jacobson perovskite

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APPLIED PHYSICS LETTERS 2024年第8期124卷 081103-081103页

作者： Qin, Chaochao Huang, Qinxiang Zhang, Shichen Song, Jian Jiao, Zhaoyong Ma, Shuhong Zheng, shuwen Song, pan Wang, Haiying Zhang, Jicai Jia, Guangrui Jiang, Yuhai Zhou, Zhongpo Henan Normal Univ Henan Key Lab Infrared Mat & Spectrum Measures & A Xinxiang 453007 Peoples R China Henan Normal Univ Sch Phys Xinxiang 453007 Peoples R China ShanghaiTech Univ Sch Phys Sci & Technol Shanghai 201210 Peoples R China

Quasi-2D Dion-Jacobson (DJ) halide perovskites with large exciton binding energy, self-assembled quantum wells, and high quantum yield attract growing attention in light-emitting diodes and solar devices. DJ-layered perovskites have the eliminated van der Waals gap and show improved photophysical features. However, there are a variety of defects and complex phase distributions produced during the solution procedure and the fast crystal development. In this paper, we reveal the effect of phase distribution and defect passivation on amplified spontaneous emission of quasi-2D perovskite (PDMA)(MA)(2)Pb3Br10 thin films through solvent engineering and additive methods, by establishing the correlation between the precursor compositions and the photophysical performance of the layered DJ perovskites. The energy transfer rate and the photoluminescence quantum yield increase due to the spatially homogeneous domain distribution and the reduced defect density after the addition of KBr in the DMSO:DMF. More importantly, we realize green amplified spontaneous emission and single-mode vertical-cavity surface-emitting lasing with low thresholds of 8.8 and 10.5 mu J cm(-2), respectively. This work provides a guideline to achieve low-threshold multicolor lasers based on DJ perovskites.

关键词： Perovskite

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Screen printing and laser-induced flexible sensors for the simultaneous sensitive detection of uric acid, tyrosine, and ascorbic acid in sweat

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ANALYST 2023年第13期148卷 2965-2974页

作者： Chen, shuwen Cao, Zhikang Zhou, Kang Li, Shaoguang Li, Hui Xu, Kaichen Tang, Haibin Deng, Heng Zhou, Qitao pan, Jing Xia, Fan China Univ Geosci Fac Mat Sci & Chem Engn Res Ctr Nanogeomat State Key Lab Biogeol & Environm GeolMinist Educ Wuhan 430074 Peoples R China Zhejiang Univ Sch Mech Engn State Key Lab Fluid Power & Mechatron Syst Hangzhou 310027 Peoples R China Chinese Acad Sci Inst Solid State Phys Key Lab Mat Phys Anhui Key Lab Nanomat & Nanotechnol Hefei 230031 Peoples R China China Univ Geosci Fac Mat Sci & Chem Wuhan 430074 Peoples R China

A wearable sweat sensor, which could continuously monitor biomolecules related to the human physiological state, is emerging as a promising piece of health surveillance equipment. However, current sensors cannot simultaneously achieve a detection performance that equates to that of traditional sensors and satisfactory mechanical strength. Herein, a wearable sweat sensor with excellent detection performance and mechanical stability is designed and fabricated. Based on the integration of laser-induced graphene electrodes and a screen printing technique, this wearable sweat sensor could realize both the separate and simultaneous detection of uric acid (UA), tyrosine (Tyr), and ascorbic acid (AA) with high sensitivity. Good UA sensing performance in artificial sweat could be maintained even after 20 000 bends. In addition, the sensor can operate well in the wearing state or in a complex bovine whole blood sample. For the detection of human sweat, the changes in UA concentration after a purine-rich meal are continuously monitored and the results are in accordance with the corresponding serum UA detection results tested with a commercial serum UA meter. These results suggest its application potential in health monitoring for both gout patients and healthy humans.

关键词： Screen printing

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Research on Seismic Signal Identification and Magnitude Prediction Model Based on Sample Entropy and Machine Learning

Research on Seismic Signal Identification and Magnitude Pred...

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Sensors, Electronics and Computer Engineering (ICSECE), IEEE International Conference on

作者： Li pan Mingyuan Liu Rong Chen shuwen Ma Lanzhou Vocational Technical College Lanzhou China Institute for Optimization and Decision Analytics Liaoning Technical University Fuxin China

ISBN: (数字)9798350373646

ISBN: (纸本)9798350373653

Based on advanced artificial intelligence technology, this study explores for earthquake early warning and magnitude prediction. By analyzing seismic signals through CEEMDAN, constructing sample entropy feature vectors and applying various machine learning models, natural seismic events are successfully identified. In terms of magnitude prediction, combining LSTM and other models, we effectively extracted seismic wave features and realized accurate prediction. Through data analysis and model optimization, the association between features and magnitude is deeply explored, providing new ideas for earthquake research. The study also explores the connection between reservoir attributes and magnitude. This paper innovatively reveals the CEEMDAN sample entropy analysis method, which brings new ideas and methods to the field of seismology. These results are of great significance to the development of earthquake early warning technology and earthquake prevention measures and provide useful references for future related research.

关键词： Analytical models Accuracy Earthquakes Predictive models Reservoirs Feature extraction Data models Entropy Vectors Long short term memory

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Impact of Radar and Surface Data Assimilation on the Forecast of a Nocturnal Squall Line in the Yangtze-Huaihe River

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ATMOSPHERE 2022年第9期13卷 1522-1522页

作者： pan, Zongmei Zhang, shuwen Zhang, Weidong Lanzhou Univ Coll Atmospher Sci Key Lab Climate Resource Dev & Disaster Prevent G Lanzhou 730000 Peoples R China

The impact of radar and surface data assimilation on the forecast of a nocturnal squall line initiated above the stable boundary layer in the Yangtze-Huaihe River is investigated by the Weather Research and Forecasting (WRF) model and its three-dimensional variational assimilation system (WRFDA 3DVar). Results show that the assimilation of radar and surface data can improve the prediction of the convection initiation time, height and vertical ascending motion during the early stage of the squall line formation by adjusting the thermodynamic structure, circulation patterns, water vapor conditions and hydrometeor mixing ratios. Although the radar and surface data assimilation can improve the forecast of the location of the squall line to a certain extent, the squall line is stronger in the radar data assimilation than that in the surface data assimilation, leading to stronger radar reflectivity and heavier precipitation. The assimilation of both radar and surface data has a more positive impact on the forecast skill than the assimilation of either type of data. Moreover, during the mature stage of the squall line, radar and surface data assimilation can enhance the intensity of the surface cold pool. Specifically, radar data assimilation or assimilating the two data simultaneously can produce a stronger cold pool than only assimilating surface data, which is more conducive to the maintenance and development of the squall line.

关键词： data assimilation nocturnal squall line stable boundary layer convection initiation cold pool

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