BACKGROUND Human immunodeficiency virus type 1(HIV-1)infection is characterized by persistent systemic inflammation and immune activation,even in patients receiving effective antiretroviral therapy(ART).Converging dat...BACKGROUND Human immunodeficiency virus type 1(HIV-1)infection is characterized by persistent systemic inflammation and immune activation,even in patients receiving effective antiretroviral therapy(ART).Converging data from many cross-sectional studies suggest that gut microbiota(GM)changes can occur throughout including human immunodeficiency virus(HIV)infection,treated by ART;however,the results are contrasting.For the first time,we compared the fecal microbial composition,serum and fecal microbial metabolites,and serum cytokine profile of treatment-na?ve patients before starting ART and after reaching virological suppression,after 24 wk of ART therapy.In addition,we compared the microbiota composition,microbial metabolites,and cytokine profile of patients with CD4/CD8 ratio<1(immunological non-responders[INRs])and CD4/CD8>1(immunological responders[IRs]),after 24 wk of ART therapy.AIM To compare for the first time the fecal microbial composition,serum and fecal microbial metabolites,and serum cytokine profile of treatment-na?ve patients before starting ART and after reaching virological suppression(HIV RNA<50 copies/m L)after 24 wk of ART.METHODS We enrolled 12 treatment-na?ve HIV-infected patients receiving ART(mainly based on integrase inhibitors).Fecal microbiota composition was assessed through next generation sequencing.In addition,a comprehensive analysis of a blood broad-spectrum cytokine panel was performed through a multiplex approach.At the same time,serum free fatty acid(FFA)and fecal short chain fatty acid levels were obtained through gas chromatography-mass spectrometry.RESULTS We first compared microbiota signatures,FFA levels,and cytokine profile before starting ART and after reaching virological suppression.Modest alterations were observed in microbiota composition,in particular in the viral suppression condition,we detected an increase of Ruminococcus and Succinivibrio and a decrease of Intestinibacter.Moreover,in the same condition,we also observed augmented levels of serum propionic and butyric acids.Contemporarily,a reduction of serum IP-10 and an increase of IL-8 levels were detected in the viral suppression condition.In addition,the same components were compared between IRs and INRs.Concerning the microflora population,we detected a reduction of Faecalibacterium and an increase of Alistipes in INRs.Simultaneously,fecal isobutyric,isovaleric,and 2-methylbutyric acids were also increased in INRs.CONCLUSION Our results provided an additional perspective about the impact of HIV infection,ART,and immune recovery on the"microbiome-immunity axis"at the metabolism level.These factors can act as indicators of the active processes occurring in the gastrointestinal tract.Individuals with HIV-1 infection,before ART and after reaching virological suppression with 24 wk of ART,displayed a microbiota with unchanged overall bacterial diversity;moreover,their systemic inflammatory status seems not to be completely restored.In addition,we confirmed the role of the GM metabolites in immune reconstitution.展开更多
For intelligent / antonomous subsea vehicles, reliable short-range horizontal positioning is difficult to achieve, particularly over flat bottom topography.A potential solution proposed in this paper utilizes a passiv...For intelligent / antonomous subsea vehicles, reliable short-range horizontal positioning is difficult to achieve, particularly over flat bottom topography.A potential solution proposed in this paper utilizes a passive optical sensing method to estimate the vehicle displacement using the bottom surface texture.The suggested optical flow method does not require any feature correspondeuces in images and it is robust in allowing brightness changes between image frames. Fundamentallyt this method is similar to correlation methods attempting to match images and compute the motion disparity. However, in correlation methods, searching a neighbor region blindly for best match is lengthy. Main contributions of this paper come from the analysis showing that optical flow computation based on the general model cannot avoid errors except for null motion although the sign of optical flow keeps correct, and from the development of an iterative shifting method based on the error characteristics to accurately determine motions. Advantages of the proposed method are verified by real image experiments.展开更多
基金Supported by University of Florence,No.XXXV PhD Program。
文摘BACKGROUND Human immunodeficiency virus type 1(HIV-1)infection is characterized by persistent systemic inflammation and immune activation,even in patients receiving effective antiretroviral therapy(ART).Converging data from many cross-sectional studies suggest that gut microbiota(GM)changes can occur throughout including human immunodeficiency virus(HIV)infection,treated by ART;however,the results are contrasting.For the first time,we compared the fecal microbial composition,serum and fecal microbial metabolites,and serum cytokine profile of treatment-na?ve patients before starting ART and after reaching virological suppression,after 24 wk of ART therapy.In addition,we compared the microbiota composition,microbial metabolites,and cytokine profile of patients with CD4/CD8 ratio<1(immunological non-responders[INRs])and CD4/CD8>1(immunological responders[IRs]),after 24 wk of ART therapy.AIM To compare for the first time the fecal microbial composition,serum and fecal microbial metabolites,and serum cytokine profile of treatment-na?ve patients before starting ART and after reaching virological suppression(HIV RNA<50 copies/m L)after 24 wk of ART.METHODS We enrolled 12 treatment-na?ve HIV-infected patients receiving ART(mainly based on integrase inhibitors).Fecal microbiota composition was assessed through next generation sequencing.In addition,a comprehensive analysis of a blood broad-spectrum cytokine panel was performed through a multiplex approach.At the same time,serum free fatty acid(FFA)and fecal short chain fatty acid levels were obtained through gas chromatography-mass spectrometry.RESULTS We first compared microbiota signatures,FFA levels,and cytokine profile before starting ART and after reaching virological suppression.Modest alterations were observed in microbiota composition,in particular in the viral suppression condition,we detected an increase of Ruminococcus and Succinivibrio and a decrease of Intestinibacter.Moreover,in the same condition,we also observed augmented levels of serum propionic and butyric acids.Contemporarily,a reduction of serum IP-10 and an increase of IL-8 levels were detected in the viral suppression condition.In addition,the same components were compared between IRs and INRs.Concerning the microflora population,we detected a reduction of Faecalibacterium and an increase of Alistipes in INRs.Simultaneously,fecal isobutyric,isovaleric,and 2-methylbutyric acids were also increased in INRs.CONCLUSION Our results provided an additional perspective about the impact of HIV infection,ART,and immune recovery on the"microbiome-immunity axis"at the metabolism level.These factors can act as indicators of the active processes occurring in the gastrointestinal tract.Individuals with HIV-1 infection,before ART and after reaching virological suppression with 24 wk of ART,displayed a microbiota with unchanged overall bacterial diversity;moreover,their systemic inflammatory status seems not to be completely restored.In addition,we confirmed the role of the GM metabolites in immune reconstitution.
文摘For intelligent / antonomous subsea vehicles, reliable short-range horizontal positioning is difficult to achieve, particularly over flat bottom topography.A potential solution proposed in this paper utilizes a passive optical sensing method to estimate the vehicle displacement using the bottom surface texture.The suggested optical flow method does not require any feature correspondeuces in images and it is robust in allowing brightness changes between image frames. Fundamentallyt this method is similar to correlation methods attempting to match images and compute the motion disparity. However, in correlation methods, searching a neighbor region blindly for best match is lengthy. Main contributions of this paper come from the analysis showing that optical flow computation based on the general model cannot avoid errors except for null motion although the sign of optical flow keeps correct, and from the development of an iterative shifting method based on the error characteristics to accurately determine motions. Advantages of the proposed method are verified by real image experiments.
