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Propionate and butyrate attenuate macrophage pyroptosis and osteoclastogenesis induced by CoCrMo alloy particles
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作者 Yang-Lin Wu Chen-Hui Zhang +6 位作者 Yun Teng Ying Pan Nai-Cheng liu pei-xin liu Xu Zhu Xin-Lin Su Jun Lin 《Military Medical Research》 SCIE CAS CSCD 2023年第2期191-206,共16页
Background:Wear particles-induced osteolysis is a major long-term complication after total joint arthroplasty.Up to now,there is no effective treatment for wear particles-induced osteolysis except for the revision sur... Background:Wear particles-induced osteolysis is a major long-term complication after total joint arthroplasty.Up to now,there is no effective treatment for wear particles-induced osteolysis except for the revision surgery,which is a heavy psychological and economic burden to patients.A metabolite of gut microbiota,short chain fatty acids(SCFAs),has been reported to be beneficial for many chronic inflammatory diseases.This study aimed to investigate the therapeutic effect of SCFAs on osteolysis.Methods:A model of inflammatory osteolysis was established by applying CoCrMo alloy particles to mouse calvarium.After two weeks of intervention,the anti-inflammatory effects of SCFAs on wear particle-induced osteolysis were evaluated by micro-CT analysis and immunohistochemistry staining.In vitro study,lipopolysaccharide(LPS)primed bone marrow-derived macrophages(BMDMs)and Tohoku hospital pediatrics-1(THP-1)macrophages were stimulated with CoCrMo particles to activate inflammasome in the presence of acetate(C2),propionate(C3),and butyrate(C4).Western blotting,enzyme-linked immunosorbent assay,and immunofluorescence were used to detect the activation of NLRP3 inflammasome.The effects of SCFAs on osteoclasts were evaluate by qRT-PCR,Western blotting,immunofluorescence,and tartrate-resistant acid phosphatase(TRAP)staining.Additionally,histone deacetylase(HDAC)inhibitors,agonists of GPR41,GPR43,and GPR109A were applied to confirm the underlying mechanism of SCFAs on the inflammasome activation of macrophages and osteoclastogenesis.Results:C3 and C4 but not C2 could alleviate wear particles-induced osteolysis with fewer bone erosion pits(P<0.001),higher level of bone volume to tissue volume(BV/TV,P<0.001),bone mineral density(BMD,P<0.001),and a lower total porosity(P<0.001).C3 and C4 prevented CoCrMo alloy particles-induced ASC speck formation and nucleationinduced oligomerization,suppressing the cleavage of caspase-1(P<0.05)and IL-1β(P<0.05)stimulated by CoCrMo alloy particles.C3 and C4 also inhibited the generation of gasdermin D-N-terminal fragment(GSDMD-NT)to regulate pyroptosis.Besides,C3 and C4 have a negative impact on osteoclast differentiation(P<0.05)and its function(P<0.05),affecting the podosome arrangement and morphologically normal podosome belts formation.Conclusions:Our work showed that C3 and C4 are qualified candidates for the treatment of wear particle-induced osteolysis. 展开更多
关键词 NLRP3 inflammasome PYROPTOSIS Short chain fatty acids OSTEOLYSIS OSTEOCLAST
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Conditional Random Field Tracking Model Based on a Visual Long Short Term Memory Network 被引量:3
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作者 pei-xin liu Zhao-Sheng Zhu +1 位作者 Xiao-Feng Ye Xiao-Feng Li 《Journal of Electronic Science and Technology》 CAS CSCD 2020年第4期308-319,共12页
In dense pedestrian tracking,frequent object occlusions and close distances between objects cause difficulty when accurately estimating object trajectories.In this study,a conditional random field tracking model is es... In dense pedestrian tracking,frequent object occlusions and close distances between objects cause difficulty when accurately estimating object trajectories.In this study,a conditional random field tracking model is established by using a visual long short term memory network in the three-dimensional(3D)space and the motion estimations jointly performed on object trajectory segments.Object visual field information is added to the long short term memory network to improve the accuracy of the motion related object pair selection and motion estimation.To address the uncertainty of the length and interval of trajectory segments,a multimode long short term memory network is proposed for the object motion estimation.The tracking performance is evaluated using the PETS2009 dataset.The experimental results show that the proposed method achieves better performance than the tracking methods based on the independent motion estimation. 展开更多
关键词 Conditional random field(CRF) long short term memory network(LSTM) motion estimation multiple object tracking(MOT)
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