目的检测乙肝肝硬化患者外周血中25-(OH)D3、Th17、CD4^+Treg细胞变化,为维生素D治疗乙肝肝硬化提供依据。方法选取乙肝肝硬化患者21例,正常对照者15例,采用电化学发光免疫测定法检测25-(OH)D3水平,采用流式细胞仪检测Th17细胞、CD4^+T...目的检测乙肝肝硬化患者外周血中25-(OH)D3、Th17、CD4^+Treg细胞变化,为维生素D治疗乙肝肝硬化提供依据。方法选取乙肝肝硬化患者21例,正常对照者15例,采用电化学发光免疫测定法检测25-(OH)D3水平,采用流式细胞仪检测Th17细胞、CD4^+Treg细胞水平,并计算Th17/Treg比率。结果健康对照组外周血25-(OH)D3为(31.87±5.97)ng/ml,乙肝肝硬化组25-(OH)D3明显降低,为(11.89±6.04)ng/ml,两者相比差异具有统计学意义(t=9.510,P=0.001)。与健康对照组相比,乙肝肝硬化组外周血Th17细胞百分比(0.913%±0.216%vs 2.498%±2.583%)增高,CD4^+Treg细胞百分比降低(3.964%±1.116%vs 2.333%±1.714%),Th17/Treg比率(1.199±0.973 vs 0.256±0.138)增高,差异均有统计学意义(P<0.05)。结论乙肝肝硬化患者外周血25-(OH)D3水平显著降低,Th17增高,CD4^+Treg降低,存在CD4^+Treg、Th17、Treg/Th17免疫平衡紊乱,增加外周血25-(OH)D3水平有可能调节乙肝肝硬化患者体内CD4^+Treg、Th17、Treg/Th17变化,改变其免疫状态。展开更多
The human pose paradigm is estimated using a transformer-based multi-branch multidimensional directed the three-dimensional(3D)method that takes into account self-occlusion,badly posedness,and a lack of depth data in ...The human pose paradigm is estimated using a transformer-based multi-branch multidimensional directed the three-dimensional(3D)method that takes into account self-occlusion,badly posedness,and a lack of depth data in the per-frame 3D posture estimation from two-dimensional(2D)mapping to 3D mapping.Firstly,by examining the relationship between the movements of different bones in the human body,four virtual skeletons are proposed to enhance the cyclic constraints of limb joints.Then,multiple parameters describing the skeleton are fused and projected into a high-dimensional space.Utilizing a multi-branch network,motion features between bones and overall motion features are extracted to mitigate the drift error in the estimation results.Furthermore,the estimated relative depth is projected into 3D space,and the error is calculated against real 3D data,forming a loss function along with the relative depth error.This article adopts the average joint pixel error as the primary performance metric.Compared to the benchmark approach,the estimation findings indicate an increase in average precision of 1.8 mm within the Human3.6M sample.展开更多
文摘目的检测乙肝肝硬化患者外周血中25-(OH)D3、Th17、CD4^+Treg细胞变化,为维生素D治疗乙肝肝硬化提供依据。方法选取乙肝肝硬化患者21例,正常对照者15例,采用电化学发光免疫测定法检测25-(OH)D3水平,采用流式细胞仪检测Th17细胞、CD4^+Treg细胞水平,并计算Th17/Treg比率。结果健康对照组外周血25-(OH)D3为(31.87±5.97)ng/ml,乙肝肝硬化组25-(OH)D3明显降低,为(11.89±6.04)ng/ml,两者相比差异具有统计学意义(t=9.510,P=0.001)。与健康对照组相比,乙肝肝硬化组外周血Th17细胞百分比(0.913%±0.216%vs 2.498%±2.583%)增高,CD4^+Treg细胞百分比降低(3.964%±1.116%vs 2.333%±1.714%),Th17/Treg比率(1.199±0.973 vs 0.256±0.138)增高,差异均有统计学意义(P<0.05)。结论乙肝肝硬化患者外周血25-(OH)D3水平显著降低,Th17增高,CD4^+Treg降低,存在CD4^+Treg、Th17、Treg/Th17免疫平衡紊乱,增加外周血25-(OH)D3水平有可能调节乙肝肝硬化患者体内CD4^+Treg、Th17、Treg/Th17变化,改变其免疫状态。
基金supported by the Medical Special Cultivation Project of Anhui University of Science and Technology(Grant No.YZ2023H2B013)the Anhui Provincial Key Research and Development Project(Grant No.2022i01020015)the Open Project of Key Laboratory of Conveyance Equipment(East China Jiaotong University),Ministry of Education(KLCE2022-01).
文摘The human pose paradigm is estimated using a transformer-based multi-branch multidimensional directed the three-dimensional(3D)method that takes into account self-occlusion,badly posedness,and a lack of depth data in the per-frame 3D posture estimation from two-dimensional(2D)mapping to 3D mapping.Firstly,by examining the relationship between the movements of different bones in the human body,four virtual skeletons are proposed to enhance the cyclic constraints of limb joints.Then,multiple parameters describing the skeleton are fused and projected into a high-dimensional space.Utilizing a multi-branch network,motion features between bones and overall motion features are extracted to mitigate the drift error in the estimation results.Furthermore,the estimated relative depth is projected into 3D space,and the error is calculated against real 3D data,forming a loss function along with the relative depth error.This article adopts the average joint pixel error as the primary performance metric.Compared to the benchmark approach,the estimation findings indicate an increase in average precision of 1.8 mm within the Human3.6M sample.
