This study investigates the molecular complexities of non-alcoholic fatty liver disease(NAFLD)-induced brain dysfunction,with a focus on the liver-intestine-brain axis and potential therapeutic interventions.The main ...This study investigates the molecular complexities of non-alcoholic fatty liver disease(NAFLD)-induced brain dysfunction,with a focus on the liver-intestine-brain axis and potential therapeutic interventions.The main objectives include understanding critical microbiota shifts in NAFLD,exploring altered metabolites,and identifying key regulatory molecules influencing brain function.The methods employed encompassed 16S ribosomal RNA(rRNA)sequencing to scrutinize stool microbiota in NAFLD patients and healthy individuals,non-targeted metabolomics using LC-MS to uncover elevated levels of deoxycholic acid(DCA)in NAFLD mice,and single-cell RNA sequencing(scRNA-seq)to pinpoint the pivotal gene Hpgd in microglial cells and its downstream Janus kinase 2/signal transducer and activator of transcription 3(JAK2/STAT3)signaling pathway.Behavioral changes and brain function were assessed in NAFLD mice with and without fecal microbiota transplantation(FMT)treatment,utilizing various assays and analyses.The results revealed significant differences in microbiota composition,with increased levels of Bacteroides in NAFLD patients.Additionally,elevated DCA levels were observed in NAFLD mice,and FMT treatment demonstrated efficacy in ameliorating liver function and brain dysfunction.Hpgd inhibition by DCA activated the JAK2/STAT3 pathway in microglial cells,leading to inflammatory activation,inhibition of mitochondrial autophagy,induction of neuronal apoptosis,and reduction in neuronal action potentials.This study elucidates the intricate molecular mechanisms underlying the liver-gut-brain axis in NAFLD,and the identification of increased DCA and the impact of JAK2/STAT3 signaling on microglial cells highlight potential therapeutic targets for addressing NAFLD-induced brain dysfunction.展开更多
Novel View Synthesis(NVS) is an important task for 3D interpretation in remote sensing scenes, which also benefits vicinagearth security by enhancing situational awareness capabilities. Recently, NVS methods based on ...Novel View Synthesis(NVS) is an important task for 3D interpretation in remote sensing scenes, which also benefits vicinagearth security by enhancing situational awareness capabilities. Recently, NVS methods based on Neural Radiance Fields(Ne RFs) have attracted increasing attention for self-supervised training and highly photo-realistic synthesis results.However, it is still challenging to synthesize novel view images in remote sensing scenes, given the complexity of land covers and the sparsity of input multi-view images. In this paper, we propose a novel NVS method named FRe SNe RF, which combines Image-Based Rendering(IBR) and Ne RF to achieve high-quality results in remote sensing scenes with sparse input. We effectively solve the degradation problem by adopting the sampling space annealing method.Additionally, we introduce depth smoothness based on the segmentation mask to constrain the scene geometry. Experiments on multiple scenes show the superiority of our proposed FRe SNe RF over other methods.展开更多
基金supported by National Natural Science Foundation of China(Grant No.:82200971)China Postdoctoral Science Foundation funded project(Grant No.:2023MD744267)Project of Liaoning Provincial Department of Science and Technology,China(Grant Nos.:2023JH2/20200120 and 2022-MS-180).
文摘This study investigates the molecular complexities of non-alcoholic fatty liver disease(NAFLD)-induced brain dysfunction,with a focus on the liver-intestine-brain axis and potential therapeutic interventions.The main objectives include understanding critical microbiota shifts in NAFLD,exploring altered metabolites,and identifying key regulatory molecules influencing brain function.The methods employed encompassed 16S ribosomal RNA(rRNA)sequencing to scrutinize stool microbiota in NAFLD patients and healthy individuals,non-targeted metabolomics using LC-MS to uncover elevated levels of deoxycholic acid(DCA)in NAFLD mice,and single-cell RNA sequencing(scRNA-seq)to pinpoint the pivotal gene Hpgd in microglial cells and its downstream Janus kinase 2/signal transducer and activator of transcription 3(JAK2/STAT3)signaling pathway.Behavioral changes and brain function were assessed in NAFLD mice with and without fecal microbiota transplantation(FMT)treatment,utilizing various assays and analyses.The results revealed significant differences in microbiota composition,with increased levels of Bacteroides in NAFLD patients.Additionally,elevated DCA levels were observed in NAFLD mice,and FMT treatment demonstrated efficacy in ameliorating liver function and brain dysfunction.Hpgd inhibition by DCA activated the JAK2/STAT3 pathway in microglial cells,leading to inflammatory activation,inhibition of mitochondrial autophagy,induction of neuronal apoptosis,and reduction in neuronal action potentials.This study elucidates the intricate molecular mechanisms underlying the liver-gut-brain axis in NAFLD,and the identification of increased DCA and the impact of JAK2/STAT3 signaling on microglial cells highlight potential therapeutic targets for addressing NAFLD-induced brain dysfunction.
基金supported by the National Natural Science Foundation of China under Grants 62125102the Beijing Natural Science Foundation under Grant JL23005the Fundamental Research Funds for the Central Universities
文摘Novel View Synthesis(NVS) is an important task for 3D interpretation in remote sensing scenes, which also benefits vicinagearth security by enhancing situational awareness capabilities. Recently, NVS methods based on Neural Radiance Fields(Ne RFs) have attracted increasing attention for self-supervised training and highly photo-realistic synthesis results.However, it is still challenging to synthesize novel view images in remote sensing scenes, given the complexity of land covers and the sparsity of input multi-view images. In this paper, we propose a novel NVS method named FRe SNe RF, which combines Image-Based Rendering(IBR) and Ne RF to achieve high-quality results in remote sensing scenes with sparse input. We effectively solve the degradation problem by adopting the sampling space annealing method.Additionally, we introduce depth smoothness based on the segmentation mask to constrain the scene geometry. Experiments on multiple scenes show the superiority of our proposed FRe SNe RF over other methods.
