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Small extracellular vesicles from hypoxia-preconditioned bone marrow mesenchymal stem cells attenuate spinal cord injury via miR-146a-5p-mediated regulation of macrophage polarization

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Neural Regeneration Research 2024年第10期19卷 2259-2269页

作者： Zeyan Liang Zhelun Yang Haishu Xie Jian Rao Xiongjie Xu Yike Lin Chunhua Wang Chunmei Chen Department of Neurosurgery Fujian Medical University Union HospitalFuzhouFujian ProvinceChina fujian Neurosurgical institute FuzhouFujian ProvinceChina

Spinal cord injury is a disabling condition with limited treatment *** studies have provided evidence suggesting that small extracellular vesicles(SEVs)secreted by bone marrow mesenchymal stem cells(MSCs)help mediate the beneficial effects conferred by MSC transplantation following spinal cord ***,hypoxia-preconditioned bone marrow mesenchymal stem cell-derived SEVs(HSEVs)exhibit increased therapeutic *** thus explored the role of HSEVs in macrophage immune regulation after spinal cord injury in rats and their significance in spinal cord *** or HSEVs were isolated from bone marrow MSC supernatants by density gradient *** administration to rats via tail vein injection after spinal cord injury reduced the lesion area and attenuated spinal cord *** regulate macrophage polarization towards the M2 phenotype in vivo and in *** RNA sequencing and bioinformatics analyses of SEVs and HSEVs revealed that mi R-146a-5p is a potent mediator of macrophage polarization that targets interleukin-1 receptor-associated kinase *** mi R-146a-5p expression in HSEVs partially attenuated macrophage *** data suggest that HSEVs attenuate spinal cord inflammation and injury in rats by transporting mi R-146a-5p,which alters macrophage *** study provides new insights into the application of HSEVs as a therapeutic tool for spinal cord injury.

关键词： bone marrow mesenchymal stem cells hypoxia preconditioning interleukin-1 receptor-associated kinase 1 macrophages mesenchymal stem cells small extracellular vesicles spinal cord injury

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Enhancing Tropical Cyclone Intensity Estimation from Satellite Imagery through Deep Learning Techniques

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Journal of Meteorological Research 2024年第4期38卷 652-663页

作者： Wen YANG Jianfang FEI Xiaogang HUANG Juli DING Xiaoping CHENG College of meteorology and Oceanography National University of Defense TechnologyChangsha 410008 Beijing institute of Applied meteorology Beijing 100029

This study first utilizes four well-performing pre-trained convolutional neural networks(CNNs) to gauge the intensity of tropical cyclones(TCs) using geostationary satellite infrared(IR) *** models are trained and tested on TC cases spanning from 2004 to 2022 over the western North Pacific *** enhance the models performance,various techniques are employed,including fine-tuning the original CNN models,introducing rotation augmentation to the initial dataset,temporal enhancement via sequential imagery,integrating auxiliary physical information,and adjusting *** optimized CNN model,i.e.,visual geometry group network(VGGNet),for TC intensity estimation is ultimately *** applied to the test data,the model achieves a relatively low mean absolute error(MAE) of 4.05 m s~(-1).To improve the interpretability of the model,the SmoothGrad combined with the Integrated Gradients approach is *** analyses reveal that the VGGNet model places significant emphasis on the distinct inner core region of a TC when estimating its ***,it partly takes into account the configuration of cloud systems as input features for the model,aligning well with meteorological *** several improvements made to this model's performance offer valuable insights for enhancing TC intensity forecasts through deep learning.

关键词： tropical cyclone intensity deep learning satellite imagery

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Environmental Conditions Conducive to the Formation of Multiple Tropical Cyclones over the Western North Pacific

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Advances in Atmospheric Sciences 2024年第10期41卷 2027-2042页

作者： Yining GU Ruifen ZHAN Xiaomeng LI Department of Atmospheric and Oceanic Sciences/institute of Atmospheric Sciences Fudan University CMA-FDU Joint Laboratory of Marine meteorology institute of Desert and meteorology China Meteorological Administration

There is limited understanding regarding the formation of multiple tropical cyclones(MTCs). This study explores the environmental conditions conducive to MTC formation by objectively determining the atmospheric circulation patterns favorable for MTC formation over the western North Pacific. Based on 199 MTC events occurring from June to October 1980–2020, four distinct circulation patterns are identified: the monsoon trough(MT) pattern, accounting for 40.3% of occurrences, the confluence zone(CON) pattern at 26.2%, the easterly wave(EW) pattern at 17.8%, and the monsoon gyre(MG) pattern at 15.7%. The MT pattern mainly arises from the interaction between the subtropical high and the monsoon trough, with MTCs forming along the monsoon trough and its flanks. The CON pattern is affected by the subtropical high,the South Asian high, and the monsoon trough, with MTCs emerging at the confluence zone where the prevailing southwesterly and southeasterly flows converge. The EW pattern is dominated by easterly flows, with MTCs developing along the easterly wave train. MTCs in the MG pattern arise within a monsoon vortex characterized by strong southwesterly flows. A quantitative analysis further indicates that MTC formation in the MT pattern is primarily governed by mid-level vertical velocity and low-level vorticity, while mid-level humidity and vertical velocity are significantly important in the other patterns. The meridional shear and convergence of zonal winds are essential in converting barotropic energy from the basic flows to disturbance kinetic energy, acting as the primary source for eddy kinetic energy growth.

关键词： barotropic energy conversion circulation pattern monsoon trough multiple tropical cyclones western North Pacific

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Clinical and genetic heterogeneity of adult polyglucosan body disease caused by GBE1 biallelic mutations in China

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Genes & Diseases 2024年第5期11卷 17-20页

作者： Yikun Chen Yan Shi Yuan Gao Yan Hu Linying Zhou Jingmei Hong Shirui Gan Xiang Lin Wanjin Chen Guorong Xu Jin He Department of Neurology and institute of Neurology of First Affiliated Hospital Institute of Neuroscienceand Fujian Key Laboratory of Molecular NeurologyFujian Medical UniversityFuzhouFujian 350005China fujian Key Laboratory of Molecular Neurology Institute of NeuroscienceFujian Medical UniversityFuzhouFujian 350005China Electron Microscopy Lab of Public Technology Service Center Fujian Medical UniversityFuzhouFujian 350005China

Adult polyglucosan body disease(APBD)is a rare and highly heterogeneous glycogen storage disorder due to biallelic variants in GBE1.1 Typical APBD presentations include gait abnormalities with polyneuropathy,leukodystrophy,neurogenic bladder,and mild cognitive *** diagnosis of APBD encompasses a large spectrum of conditions including axonal and demyelinating sensorimotor polyneuropathy,progressive spastic paraparesis,and leukodystrophies.

关键词： GBE bladder diagnosis

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A high-entropy-designed cathode with V^(5+)-V^(2+) multi-redox for high energy density sodium-ion batteries

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Journal of Energy Chemistry 2024年第10期97卷 429-437,I0008页

作者： Xiang Ding Xiaofen Yang Yibing Yang Liangwei Liu Yi Xiao Lili Han College of Chemistry and Materials Science Fujian Normal University.Fuzhou 350007FujianChina State Key Laboratory of Structural Chemistry Fujian Institute of Research on the Structure of MatterChinese Academy of SciencesFuzhou 350002FujianChina

Na_(3)V_(2)(PO_(4))_(3)(NVP)is gifted with fast Na^(+)conductive NASICON *** it still suffers from low electronic conductivity and inadequate energy ***,a high-entropy modification strategy is realized by doping V^(3+)site with Ga^(3+)/Cr^(3+)/Al^(3+)/Fe^(3+)/In^(3+)simultaneously(***_(3)V_(2-x)(GaCrAlFeIn)_x(PO_(4))_(3);x=0,0.04,0.06,and 0.08)to stimulate the V^(5+)■V^(2+)reversible multi-electron *** configuration high-entropy can effectively suppress the structural collapse,enhance the redox reversibility in high working voltage(4.0 V),and optimize the electronic induced *** in-situ X-ray powder diffraction and in-situ electrochemical impedance spectroscopy tests efficaciously confirm the robust structu ral recovery and far lower polarization throughout an entire charge-discharge cycle during 1.6-4.3 V,***,the density functional theory calculations clarify the stronger metallicity of high-entropy electrode than the bare that is derived from the more mobile free electrons surrounding the vicinity of Fermi *** grace of high-entropy design and multi-electron transfer reactions,the optimal Na_(3)V_(1.7)(GaCrAlFeIn)_(0.06)(PO_(4))_(3)can exhibit perfect cycling/rate performances(90.97%@5000 cycles@30 C;112 mA h g^(-1)@10 C and 109 mA h g^(-1)@30 C,2.0-4.3 V).Furthermore,it can supply ultra-high185 mA h g^(-1)capacity with fa ntastic energy density(522 W h kg^(-1))in half-cells(1.4-4.3 V),and competitive capacity(121 mA h g^(-1))as well as energy density(402 W h kg^(-1))in full-cells(1.6-4.1 V),demonstrating enormous application potential for sodium-ion batteries.

关键词： Na_(3)V_(2)(PO_(4))_(3) High-entropy V^(5+)■V^(2+)multi-redox High energy density Sodium-ion batteries

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Fe-N-C core-shell catalysts with single low-spin Fe(Ⅱ)-N_(4)species for oxygen reduction reaction and high-performance proton exchange membrane fuel cells

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Journal of Energy Chemistry 2024年第6期93卷 538-546,I0013页

作者： Yan Wan Linhui Yu Bingxin Yang Caihong Li Chen Fang Wei Guo Fang-Xing Xiao Yangming Lin Xiamen Key Laboratory of Rare Earth Photoelectric Functional Materials Xiamen Institute of Rare Earth MaterialsHaixi InstituteChinese Academy of SciencesXiamen 361021FujianChina CAS Key Laboratory of Urban Pollutant Conversion Institute of Urban EnvironmentChinese Academy of SciencesXiamen 361021FujianChina fujian institute of Research on the Structure of Matter Chinese Academy of SciencesFuzhou 350002FujianChina College of Materials Science and Engineering Fuzhou UniversityNew CampusMinhou 350108FujianChina College of Chemistry and Materials Science Fujian Normal UniversityFuzhou 350117FujianChina

Fe-N-doped carbon materials(Fe-N-C)are promising candidates for oxygen reduction reaction(ORR)relative to Pt-based catalysts in proton exchange membrane fuel cells(PEMFCs).However,the intrinsic contributions of Fe-N_(4)moiety with different chemical/spin states(e.g.D1,D2,D3)to ORR are unclear since various states coexist *** the present work,Fe-N-C core-shell nanocatalyst with single lowspin Fe(Ⅱ)-N_(4)species(D1)is synthesized and identified with ex-situ ultralow temperature Mossbauer spectroscopy(T=1.6 K)that could essentially differentiate various Fe-N_(4)states and invisible Fe-O *** quantifying with CO-pulse chemisorption,site density and turnover frequency of Fe-N-C catalysts reach 2.4×10^(-9)site g^(-1)and 23 e site~(-1)s^(-1)during the ORR,***-wave potential(0.915V_(RHE))of the Fe-N-C catalyst is more positive(approximately 54 mV)than that of Pt/***,we observe that the performance of PEMFCs on Fe-N-C almost achieves the 2025 target of the US Department of Energy by demonstrating a current density of 1.037 A cm^(-2)combined with the peak power density of 0,685 W cm^(-2),suggesting the critical role of Fe(Ⅱ)-N_(4)site(D1).After 500 h of running,PEMFCs still deliver a power density of 1.26 W cm^(-2)at 1.0 bar H_(2)-O_(2),An unexpected rate-determining step is figured out by isotopic labelling experiment and theoretical *** work not only offers valuable insights regarding the intrinsic contribution of Fe-N_(4)with a single spin state to alkaline/acidic ORR,but also provides great opportunities for developing high-performance stable PEMFCs.

关键词： Fuel cells Oxygen reduction reaction Non-platinum group metals(PGMs) Isotopic labelling Active site TOF

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Decellularized extracellular matrix-based composite scaffolds for tissue engineering and regenerative medicine

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Regenerative Biomaterials 2024年第3期3卷 1-29页

作者： Peiyao Xu Ranjith Kumar Kankala Shibin Wang Aizheng Chen institute of Biomaterials and Tissue Engineering Huaqiao UniversityXiamenFujian 361021PR China fujian Provincial Key Laboratory of Biochemical Technology(Huaqiao University) XiamenFujian 361021PR China

Despite the considerable advancements in fabricating polymeric-based scaffolds for tissue engineering,the clinical transformation of these scaffolds remained a big challenge because of the difficulty of simulating native organs/tissues'*** a kind of natural tissue-derived biomaterials,decellularized extracellular matrix(dECM)-based scaffolds have gained attention due to their unique biomimetic properties,providing a specific microenvironment suitable for promoting cell proliferation,migration,attachment and regulating *** medical applications of dECM-based scaffolds have addressed critical challenges,including poor mechanical strength and insufficient *** promoting the reconstruction of damaged tissues or organs,dif-ferent types of dECM-based composite platforms have been designed to mimic tissue microenvironment,including by integrating with natural polymer or/and syntenic polymer or adding bioactive *** this review,we summarized the research progress of dECM-based composite scaffolds in regenerative medicine,highlighting the critical challenges and future perspectives related to the medical application of these composite materials。

关键词： decellularized extracellular matrix polymer bioactive factors composites tissue engineering

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OsPPG encodes a pseudouridine-5'-phosphate glycosidase and regulates rice spikelet development

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The Crop Journal 2024年第3期12卷 698-708页

作者： Rui Chen Dagang Tian Yarong Lin Jiaqing Huang Qinqin Yang Yupei Li Huaqing Liu Shaohua Yang Jingyang Chen Shufen Zhou Feng Wang Shubiao Zhang Key Laboratory of Genetics Breeding and Multiple Utilization of CropsMinistry of Education/Key Laboratory of Biological Breeding for Fujian and Taiwan CropsMinistry of Agriculture and Rural AffairsFujian Agriculture and Forestry UniversityFuzhou 350002FujianChina fujian Key Laboratory of Genetic Engineering for Agriculture Biotechnology Research InstituteFujian Academy of Agricultural SciencesFuzhou 350003FujianChina institute of Resources Environment and Soil FertilizerFujian Academy of Agricultural SciencesFuzhou 350013FujianChina

Florets are the basic structural units of spikelets,and their morphogenesis determines the yield and quality of rice ***,whether and how pseudouridine-5’-phosphate glycosidase participates in rice spikelet development remains an open *** this study,we identified a novel gene,OsPPG,which encodes a peroxisome-localized pseudouridine-5’-phosphate glycosidase and regulates the development of rice *** mutants exhibited abnormal sterile lemma,lemma,palea,lodicule,stamens,and pistils;male sterility;shorter panicles;and reduced plant *** was found to regulate several OsMADS genes,thereby affecting the morphogenesis of rice ***,metabolomics revealed that the OsPPG gene was involved in the decomposition of pseudouridine via the pyrimidine metabolism pathway and may affect the jasmonic acid signaling *** results suggest that OsPPG is a key regulator of rice spikelet development.

关键词： OsPPG Reproductive regulation Spikelet development Rice

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Sensitivity Simulations of the 30 March 2020 Xichang Wildfire in Southwest China Based on the WRF-Fire Model

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Journal of Meteorological Research 2024年第4期38卷 826-843页

作者： Yujue LIU Shiguang MIAO Hanbin ZHANG institute of Urban meteorology China Meteorological AdministrationBeijing 100089 Key Laboratory of Urban meteorology China Meteorological AdministrationBeijing 100089

This paper describes a fire forecast system—Weather Research and Forecasting-Fire(WRF-Fire)—that is employed to simulate a real wildfire case in Xichang,Sichuan Province,Southwest China on 30 March 2020 at a 100-m resolution over the fire area,in order to provide a fine representation of the terrain and fuel heterogeneities and explicitly resolve the atmospheric *** sensitivity experiments were conducted to analyze the impacts of atmospheric model grid spacing and fire–atmosphere interaction on simulated meteorological fields and fire *** results indicate that finer horizontal grid spacing in the atmospheric model improves the accuracy of wind,temperature,and moisture simulations in the near surface ***,it can better describe local wind field characteristics,capture microscale wind speed fluctuations,and produce more significant effect from fire–atmosphere *** mass and energy released by the fire model and its feedback to the atmospheric model exhibit enhanced heterogeneous *** simulated fire area aligns well with the observation,with KAPPA coefficient(KC)of 0.56–0.59 and spatial correlation coefficient(SC) of 0.52–*** this real case,the influence of heterogeneous land surface on the fire behavior is much greater than the atmosphere–fire *** study suggests that WRFFire holds high potential as a real wildfire simulation tool,offering a new and feasible approach for fire prediction.

关键词： Weather Research and Forecasting-Fire wildfire coupled fire–atmosphere modeling fire behavior large-eddy simulation(LES)

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Exploring device physics of perovskite solar cell via machine learning with limited samples

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Journal of Energy Chemistry 2024年第7期94卷 441-448页

作者： Shanshan Zhao Jie Wang Zhongli Guo Hongqiang Luo Lihua Lu Yuanyuan Tian Zhuoying Jiang Jing Zhang Mengyu Chen Lin Li Cheng Li School of Electronic Science and Engineering Xiamen UniversityXiamen 361005FujianChina Future Display institute of Xiamen Xiamen 361005FujianChina

Perovskite solar cells(PsCs)have developed tremendously over the past ***,the key factors influencing the power conversion efficiency(PCE)of PSCs remain incompletely understood,due to the complexity and coupling of these structural and compositional *** this research,we demon-strate an effective approach to optimize PSCs performance via machine learning(ML).To address chal-lenges posed by limited samples,we propose a feature mask(FM)method,which augments training samples through feature transformation rather than synthetic *** this approach,squeeze-and-excitation residual network(SEResNet)model achieves an accuracy with a root-mean-square-error(RMSE)of 0.833%and a Pearson's correlation coefficient(r)of ***,we employ the permu-tation importance(PI)algorithm to investigate key features for ***,we predict PCE through high-throughput screenings,in which we study the relationship between PCE and chemical *** that,we conduct experiments to validate the consistency between predicted results by ML and experimental *** this work,ML demonstrates the capability to predict device performance,extract key parameters from complex systems,and accelerate the transition from laboratory findings to commercialapplications.

关键词： Perovskite solar cell Machine learning Device physics Performance prediction Limited samples

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