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| 1 | Elaborately engineering of lipid nanoparticle for targeting delivery of siRNA and suppressing acute liver injury显示文摘Small interfering RNA(siRNA)-based gene silencing has been considered as a potential therapy modality against inflammatory diseases.Nevertheless,the effective delivery of siRNA to desired destination still remains challenging due to poor stability,high molecular weight and negative charge.Currently,ionizable lipid nanoparticle(LNP)has been extensively used as vector for effective delivery of siRNA.Herein,we report a mannose-modified LNP(M-MC_(3) LNP@TNFα)loading tumor necrosis factorα(TNFα)siRNA for targeting liver macrophages,achieving effectively inhibit acute liver injury.The M-MC_(3) LNP@TNFαnot only increases the internalization of LNP by macrophages,but also enhances the gene silencing efficiency of TNFαin vitro.Additionally,the M-MC_(3) LNP@TNFαexhibits higher accumulation in liver of healthy mice than that of MC_(3) LNP@TNFα(un-modified LNP)owing to the targeting effect of mannose.As expected,the M-MC_(3) LNP@TNFαsignificantly suppresses the expression of TNFαand ameliorates liver damage in acute liver injury model.Such a LNP targeting siRNA delivery holds great potential for the treatment of diseases associated with liver in the future. | Qiu Wang Qikun Jiang Dan Li Zimeng Yang Lin Gao Fan Liu Chang Li Yao Feng Zhonggui He Cong Luo Jin Sun | 2024 | Chinese Chemical Letters2024，35，2： | 0 |
| 2 | A novel mouse model of central cord syndrome显示文摘Patients with potential spinal stenosis are susceptible to central cord syndrome induced by blunt trauma.Suitable animal models are helpful for studying the pathogenesis and treatment of such injuries.In this study,we established a mouse model of acute blunt traumatic spinal cord injury by compressing the C6 spinal cord with 5 and 10 g/mm~2 compression weights to simulate cervical central cord syndrome.Behavioral testing confirmed that this model exhibited the characteristics of central cord syndrome because motor function in the front paws was impaired,whereas basic motor and sensory functions of the lower extremities were retained.Hematoxylin-eosin staining showed that the diseased region of the spinal cord in this mouse model was restricted to the gray matter of the central cord,whereas the white matter was rarely affected.Magnetic resonance imaging showed a hypointense signal in the lesion after mild and severe injury.In addition,immunofluorescence staining showed that the degree of nerve tract injury in the spinal cord white matter was mild,and that there was a chronic inflammation reaction.These findings suggest that this mouse model of central cord syndrome can be used as a model for preclinical research,and that gray matter is most vulnerable to injury in central cord syndrome,leading to impaired motor function. | Elzat Elham-Yilizati Yilihamu Xiangchuang Fan Zimeng Yang Shiqing Feng | 2023 | Neural Regeneration Research2023，18，12： | 0 |
| 3 | Self-adaptive non-covalent albumin-binding near-infrared probe conjugates enabling precise sentinel lymph node metastasis illumination and primary tumor imaging显示文摘Tumor sentinel lymph node(SLN)metastasis plays a vital role in tumor staging and therapeutic decision-making process.However,precise diagnosis of primary tumors and lymphatic metastases is still hindered by low imaging resolution and poor photostability of fluorescent probes.Herein,we report three novel IR820-fatty acid(FA)conjugates(IR-OA,IR-LA,and IR-PA)for precise lymphatic metastasis illumination and primary tumor diagnosis.The IR-FA conjugates are able to non-covalently bound to albumin in vivo,and the fluorescence quantum yield is significantly enhanced after incubation with bovine serum albumin(BSA)in vitro.Moreover,the BSA-IR-FA conjugates display large Stokes shift(>120 nm),dramatically improving in vivo imaging resolution.Among them,IR-PA demonstrates distinct advantage over IR-OA,IR-LA,and IR-maleimide(MAL)(fluorescent probe previously reported by our group)in terms of fluorescence quantum yield,photostability,and imaging resolution.As a result,IR-PA exhibits satisfactory imaging results with high fluorescence intensity and imaging resolution in sentinel lymph node metastasis illumination and primary tumor location.Our findings provide a self-adaptive albumin-binding near-infrared probe conjugate for accurate diagnosis of primary tumors and lymphatic metastases. | Qiu Wang Qikun Jiang Dan Li Chang Li Yao Feng Zimeng Yang Zhonggui He Cong Luo Jin Sun | 2023 | Nano Research2023，16，2： | 0 |
| 4 | Antidepressant-like Effects of Flavonoids from Pteridium aquilinum var.latiusculum显示文摘[Objectives]To explore the antidepressant-like effects of PAFL and its potential mechanisms.[Methods]This study used PAFL in mice under various conditions and analyzed the results.The antidepressant-like effects of flavonoids from Pteridium aquilinum(PAFL)and its possible action mechanism were discussed.[Results]PAFL(5 mg/kg,i.p.)exhibited markedly antidepressant-like activities,which could be reversed by treatment with p-chlorophenylalanine(an inhibitor of 5-HT synthesis),haloperidol(a non-selective D 2 receptor antagonist)and N-methyl-D-aspartic acid(an agonist at the glutamate site).Meanwhile,PAFL also effectively increased the hippocampus 5-HT,DA,and Glu levels of mice exposed to TST and FST.The LPS-induced antidepressant behavioral experiment showed that PAFL(1 and 5 mg/kg,i.p.)and fluoxetine(20 mg/kg,i.p.)effectively reduced the immobility time,and increase activity time in OFT.PAFL pretreatment significantly reduced IL-6 and TNF-αserum levels and improve the changes of hippocampal SOD and MDA oxidative stress indicators.Furthermore,PAFL preconditioning could up-regulate BDNF and TrκB contents in hippocampus and down-regulate IκB-αand NF-κB phosphorylation.[Conclusions]The antidepressant-like effects of PAFL might be mediated by the 5-HT,DAergic and Gluergic systems,and the mechanisms of anti-depressant effects of PAFL might be via the alterations of animal behaviors,hippocampus inflammation and neurotrophy,which might be attributed by the BDNF/TrκB/NF-κB signaling pathway. | Zimeng FENG Xiang HAN Shuangli LIU Xiaohui WANG | 2023 | Medicinal Plant2023，14，1： | 0 |
| 5 | Optimizing Spatial Relationships in GCN to Improve the Classification Accuracy of Remote Sensing Images显示文摘Semantic segmentation of remote sensing images is one of the core tasks of remote sensing image interpretation.With the continuous develop-ment of artificial intelligence technology,the use of deep learning methods for interpreting remote-sensing images has matured.Existing neural networks disregard the spatial relationship between two targets in remote sensing images.Semantic segmentation models that combine convolutional neural networks(CNNs)and graph convolutional neural networks(GCNs)cause a lack of feature boundaries,which leads to the unsatisfactory segmentation of various target feature boundaries.In this paper,we propose a new semantic segmentation model for remote sensing images(called DGCN hereinafter),which combines deep semantic segmentation networks(DSSN)and GCNs.In the GCN module,a loss function for boundary information is employed to optimize the learning of spatial relationship features between the target features and their relationships.A hierarchical fusion method is utilized for feature fusion and classification to optimize the spatial relationship informa-tion in the original feature information.Extensive experiments on ISPRS 2D and DeepGlobe semantic segmentation datasets show that compared with the existing semantic segmentation models of remote sensing images,the DGCN significantly optimizes the segmentation effect of feature boundaries,effectively reduces the noise in the segmentation results and improves the segmentation accuracy,which demonstrates the advancements of our model. | Zimeng Yang Qiulan Wu Feng Zhang Xuefei Chen Weiqiang Wang XueShen Zhang | 2023 | Intelligent Automation & Soft Computing2023，，7： | 0 |
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