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| 1 | Regulation of the inflammatory cycle by a controllable release hydrogel for eliminating postoperative inflammation after discectomy显示文摘Surgery is the final choice for most patients with intervertebral disc degeneration(IDD).Operation-caused trauma will cause inflammation in the intervertebral disc.Serious inflammation will cause tissue defects and induce tissue degeneration,IDD recurrence and the occurrence of other diseases.Therefore,we proposed a scheme to treat recurrence after discectomy by inhibiting inflammation with an aspirin(ASP)-loaded hydrogel to restore the mechanical stability of the spine and relieve local inflammation.ASP-liposomes(ASP-Lips)were incorporated into a photocrosslinkable gelatin-methacryloyl(GelMA)via mixing.This material can effectively alleviate inflammation by inhibiting the release of high mobility group box 1(HMGB1)from the nucleus to the cytoplasm.We further assessed the expression of inflammatory cytokines,such as interleukin 6(IL-6)and tumor necrosis factor-α(TNF-α),and degeneration-related factors,such as type II collagen(COL-2),Aggrecan,matrix metallopeptidases-3(MMP-3),MMP-13,a disintegrin and metalloproteinase with thrombospondin motifs-4(ADAMTS-4)and ADAMTS-5 in rat nucleus pulpous cells.The level of IDD was analyzed through H&E,safranin-O staining and immunohistochemistry in rabbit samples.In vitro,we found that ASP-Lip@GelMA treatment significantly decreased inflammatory cytokines,MMP-3 and-13,and ADAMTS-4 and-5 and up-regulated COL-2 and Aggrecan via the inhibited release of HMGB-1 from the nucleus.In vivo,ASP-Lip@GelMA can effectively inhibit inflammation of local tissue after disc surgery and fill local tissue defects.This composite hydrogel system is a promising way to treat the recurrence of IDD after surgery without persistent complications. | Yu Liu Jiacheng Du Peng Peng Ruoyu Cheng Jiayi Lin Congxin Xu Huilin Yang Wenguo Cui Haiqing Mao Yuling Li Dechun Geng | 2021 | Bioactive Materials2021，6，1： | 6 |
| 2 | Plant multiscale networks:charting plant connectivity by multi-level analysis and imaging techniques显示文摘In multicellular and even single-celled organisms,individual components are interconnected at multiscale levels to produce enormously complex biological networks that help these systems maintain homeostasis for development and environmental adaptation.Systems biology studies initially adopted network analysis to explore how relationships between individual components give rise to complex biological processes.Network analysis has been applied to dissect the complex connectivity of mammalian brains across different scales in time and space in The Human Brain Project.In plant science,network analysis has similarly been applied to study the connectivity of plant components at the molecular,subcellular,cellular,organic,and organism levels.Analysis of these multiscale networks contributes to our understanding of how genotype determines phenotype.In this review,we summarized the theoretical framework of plant multiscale networks and introduced studies investigating plant networks by various experimental and computational modalities.We next discussed the currently available analytic methodologies and multi-level imaging techniques used to map multiscale networks in plants.Finally,we highlighted some of the technical challenges and key questions remaining to be addressed in this emerging field. | Xi Zhang Yi Man Xiaohong Zhuang Jinbo Shen Yi Zhang Yaning Cui Meng Yu Jingjing Xing Guangchao Wang Na Lian Zijian Hu Lingyu Ma Weiwei Shen Shunyao Yang Huimin Xu Jiahui Bian Yanping Jing Xiaojuan Li Ruili Li Tonglin Mao Yuling Jiao Sodmergen Haiyun Ren Jinxing Lin | 2021 | Science China(Life Sciences)2021，64，9： | 3 |
| 3 | Genetic Architecture of Childhood Kidney and Urological Diseases in China显示文摘Kidney disease is manifested in a wide variety of phenotypes,many of which have an important hereditary component.To delineate the genotypic and phenotypic spectrum of pediatric nephropathy,a multicenter registration system is being imple-mented based on the Chinese Children Genetic Kidney Disease Database(CCGKDD).In this study,all the patients with kidney and urological diseases were recruited from 2014 to 2020.Genetic analysis was conducted using exome sequencing for families with multiple affected individuals with nephropathy or clinical suspicion of a genetic kidney disease owing to early-onset or extrarenal features.The genetic diagnosis was confirmed in 883 of 2256(39.1%)patients from 23 provinces in China.Phenotypic profiles showed that the primary diagnosis included steroid-resistant nephrotic syndrome(SRNS,23.5%),glomerulonephritis(GN,32.2%),congenital anomalies of the kidney and urinary tract(CAKUT,21.2%),cystic renal disease(3.9%),renal calcinosis/stone(3.6%),tubulopathy(9.7%),and chronic kidney disease of unknown etiology(CKDu,5.8%).The pathogenic variants of 105 monogenetic disorders were identified.Ten distinct genomic disorders were identified as pathogenic copy number variants(CNVs)in 11 patients.The diagnostic yield differed by subgroups,and was highest in those with cystic renal disease(66.3%),followed by tubulopathy(58.4%),GN(57.7%),CKDu(43.5%),SRNS(29.2%),renal calcinosis/stone(29.3%)and CAKUT(8.6%).Reverse phenotyping permitted correct identification in 40 cases with clinical reassessment and unexpected genetic conditions.We present the results of the largest cohort of children with kidney disease in China where diagnostic exome sequencing was performed.Our data demonstrate the utility of family-based exome sequencing,and indicate that the combined analysis of genotype and phenotype based on the national patient registry is pivotal to the genetic diagnosis of kidney disease. | Ye Fang Hua Shi Tianchao Xiang Jiaojiao Liu Jialu Liu Xiaoshan Tang Xiaoyan Fang Jing Chen Yihui Zhai Qian Shen Guomin Li Li Sun Yunli Bi Xiang Wang Yanyan Qian Bingbing Wu Huijun Wang Wenhao Zhou Duan Ma Jianhua Mao Xiaoyun Jiang Shuzhen Sun Ying Shen Xiaorong Liu Aihua Zhang Xiaowen Wang Wenyan Huang Qiu Li Mo Wang Xiaojie Gao Yubin Wu Fang Deng Ruifeng Zhang Cuihua Liu Li Yu Jieqiu Zhuang Qing Sun Xiqiang Dang Haitao Bai Ying Zhu Siguang Lu Bili Zhang Xiaoshan Shao Xuemei Liu Mei Han Lijun Zhao Yuling Liu Jian Gao Ying Bao Dongfeng Zhang Qingshan Ma Liping Zhao Zhengkun Xia Biao Lu Yulong Wang Mengzhun Zhao Jianjiang Zhang Shan Jian Guohua He Huifeng Zhang Bo Zhao Xiaohua LI Feiyan Wang Yufeng Li Hongtao Zhu Xinhui Luo Jinghai Li Jia Rao Hong Xu | 2021 | Phenomics2021，1，3： | 0 |
| 4 | Multi-Agent System for Electric Vehicle Charging Scheduling in Parking Lots显示文摘As the number of electric vehicles(EVs)increases,massive numbers of EVs have started to gather in commercial parking lots to charge and discharge,which may significantly impact the operation of the grid.There may also be a deviation in the departure time of charged and discharged EVs in commercial parking lots.This deviation can lead to insufficient battery energy when the EVs leave the parking lot.This study uses the simulation software AnyLogic to build a commercial parking lot multi-agent simulation model,and the agent-based model can fully reflect the autonomy of individual EVs.Based on this simulation model,we propose an EV scheduling algorithm.The algorithm contains two main agents.The first is the power distribution center agent(PDCA),which is used to coordinate the energy output of photovoltaic(PV),energy storage system(ESS),and distribution station(DS)to solve the problem of grid overload.The second is the scheduling center agent(SCA),which is used to solve the insufficient battery energy problem due to EVs’random departures.The SCA includes two stages.In the first stage,a priority scheduling algorithm is proposed to emphasize the fairness of EV charging.In the second stage,a genetic algorithm is used to accurately determine the time interval between charging and discharging to ensure the maximum benefit of EV owner.Finally,simulation experiments are conducted in AnyLogic,and the results demonstrate the superiority of the algorithm over the classical algorithm. | Mao Tan Zhonglin Zhang Yuling Ren Irampaye Richard Yuzhou Zhang | 2023 | Complex System Modeling and Simulation2023，3，2： | 0 |
| 5 | MSNCs and MgO-MSNCs as drug delivery systems to control the adsorption kinetics and release rate of indometacin显示文摘Mesoporous silica cocoon materials(MSNCs) and MgO doped mesoporous silica cocoons(MgO-MSNCs) with the cocoon-like hierarchical morphology and different alkalinities were synthesized as carriers for acidic drugs. Indomethacin(IMC) was selected as a model drug and loaded into carriers. All materials and the drug-loaded samples were characterized by nitrogen adsorption, FTIR spectroscopy, transmission electron microscopy(TEM), powder X-Ray diffraction(XRD) and differential scanning calorimetry(DSC). The effect of the Mg/Si molar ratio on the kinetics and equilibrium of IMC adsorption on MgO-MSNCs was thoroughly examined, and it was found that the increase in the Mg/Si molar ratio resulted in an increasing IMC adsorption rate due to the increased affinity between alkaline MgO-MSNCs and weak acid IMC. The adsorption kinetics fitted a pseudo second-order model well. The Freundlich isotherm showed a better fit, indicating that the coverage of IMC on the surface of MgO-MSNCs was heterogeneous. The maximum adsorption capacity of adsorbent was calculated by the Langmuir isotherm equation. The Temkin equation provided further support that the IMC adsorption on MgO-MSNCs was dominated by a chemisorption process. MgO-MSNCs also have the advantage of allowing an adjustment of the drug release rate of weak acid drug. The cytotoxicity assay indicated good biocompatibility of MgO-MSNCs. Our research on MgO-MSNCs carriers demonstrated their potential therapeutic benefit for safe and effective management of IMC adsorption and in vitro release. | Xin Zheng Shuang Feng Xiudan Wang Zhenning Shi Yuling Mao Qinfu Zhao Siling Wang | 2019 | Asian Journal of Pharmaceutical Sciences2019，14，3： | 0 |
| 6 | Author correction to“Immune-awakening Saccharomyces-inspired nanocarrier for oral target delivery to lymph and tumors”[Acta Pharmaceutica Sinica B 12(2022)4501-4518]显示文摘The authors regret that there is an error in the article Fig.9D1 due to the mistake of copying and pasting in the process of assembling figures and negligence in the proofreading,and also a mislabled error in the supporting Information Fig.S9 and S10. | Yuling Mao Xiudan Wang Caishun Chen Qinfu Zhao Yanfeng Liu Jinghai Zhang Siling Wang | 2024 | Acta Pharmaceutica Sinica B2024，14，3： | 0 |
| 7 | Immune-awakening Saccharomyces-inspired nanocarrier for oral target delivery to lymph and tumors显示文摘Utilization of the intestinal lymphatic pathway will allow extraordinary gains in lymph and tumors cascade-targeted delivery of oral drugs and awakening the innate/adaptive immunity of the body and the lesion microenvironment,in addition to improving oral bioavailability relative to other means of delivery of oral drugs.Here,inspired by the specific invasion route of intestinal microorganisms,we pioneered an immune-awakening Saccharomyces-inspired mesoporous silicon nanoparticle(yMSN)for the ingenious cascade-targeted delivery of therapeutic cancer vaccines and antitumor drugs to lymph and tumors via the intestinal lymphatic pathway.Encouragingly,yMSN high-loaded tumor-specific antigens(OVA,11.9%)and anti-tumor drugs(Len,28.6%)with high stability,namely Len/OVA/yMSN,efficiently co-delivered OVA and Len to their desired target sites.Moreover,yMSN concomitantly awakened the innate antitumor immunity of dendritic cells and macrophages,strengthening vaccine-induced adaptive immune responses and reversing macrophage-associated immunosuppression in the tumor microenvironment.Surprisingly,Len/OVA/yMSN treatment resulted in excellent synergistic antitumor efficacy and long-term antitumor memory in OVA-Hepa1-6-bearing mice.This high-performance nanocarrier provides a novel approach for lesion-targeting delivery of oral drugs accompanied with awakening of the innate/adaptive immunity of the lesion environment,and also represents a novel path for the oral delivery of diverse therapeutic agents targeting other lymph-mediated diseases. | Yuling Mao Xiudan Wang Caishun Chen Qinfu Zhao Yanfeng Liu Jinghai Zhang Siling Wang | 2022 | Acta Pharmaceutica Sinica B2022，12，12： | 0 |
| 8 | Wheat adaptation to environmental stresses under climate change:Molecular basis and genetic improvement显示文摘Wheat(Triticum aestivum)is a staple food for about 40%of the world’s population.As the global population has grown and living standards improved,high yield and improved nutritional quality have become the main targets for wheat breeding.However,wheat production has been compromised by global warming through the more frequent occurrence of extreme temperature events,which have increased water scarcity,aggravated soil salinization,caused plants to be more vulnerable to diseases,and directly reduced plant fertility and suppressed yield.One promising option to address these challenges is the genetic improvement of wheat for enhanced resistance to environmental stress.Several decades of progress in genomics and genetic engineering has tremendously advanced our understanding of the molecular and genetic mechanisms underlying abiotic and biotic stress responses in wheat.These advances have heralded what might be considered a“golden age”of functional genomics for the genetic improvement of wheat.Here,we summarize the current knowledge on the molecular and genetic basis of wheat resistance to abiotic and biotic stresses,including the QTLs/genes involved,their functional and regulatory mechanisms,and strategies for genetic modification of wheat for improved stress resistance.In addition,we also provide perspectives on some key challenges that need to be addressed. | Hude Mao Cong Jiang Chunlei Tang Xiaojun Nie Linying Du Yuling Liu Peng Cheng Yunfeng Wu Huiquan Liu Zhensheng Kang Xiaojie Wang | 2023 | Molecular Plant2023，16，10： | 0 |
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