目的探究强直性脊柱炎(ankylosing spondylitis,AS)模型小鼠和临床患者外周血单个核细胞(peripheralblood mononuclear cell,PBMC)中微小RNA-142-5p(miR-142-5p),细胞因子信号转导抑制因子1(suppressor ofcytokine signaling 1,SOCS1)m...目的探究强直性脊柱炎(ankylosing spondylitis,AS)模型小鼠和临床患者外周血单个核细胞(peripheralblood mononuclear cell,PBMC)中微小RNA-142-5p(miR-142-5p),细胞因子信号转导抑制因子1(suppressor ofcytokine signaling 1,SOCS1)mRNA表达及其对免疫功能的影响。方法通过实时荧光定量(quantitative real timePCR,qRT-PCR)检测2022年1月~2023年3月商丘市第一人民医院收治的30例确诊的AS患者(患者组)和30例健康体检者(健康组)的PBMC中miR-142-5p和SOCS1 mRNA水平。采用牛蛋白聚糖联合完全弗氏佐剂诱导AS小鼠模型,然后将小鼠分为对照组、模型组、阴性组和拮抗剂组。对照组和模型组小鼠尾静脉注射生理盐水,阴性组和拮抗剂组小鼠分别尾静脉注射NC-antagomir和miR-142-5p-antagomir。治疗2周后,分别评估各组小鼠的关节炎症状评分。通过苏木精伊红(hematoxylin eosin,HE)染色评价踝关节形态。采用ELISA法检测小鼠血清中Th1细胞因子干扰素γ(IFN-γ)、Th2细胞因子白细胞介素-4(IL-4)、Th17细胞因子白细胞介素-17(IL-17)和Treg细胞因子叉头盒蛋白P3(FOXP3)的表达水平。通过qRT-PCR和Western blot检测PBMC和踝关节组织中miR-142-5p,SOCS1,IFN-γ,IL-4,IL-17和FOXP3的mRNA和蛋白表达水平。结果与健康组比较,患者组PBMC中miR-142-5p水平升高(3.03±0.99 vs1.00±0.21),SOCS1 mRNA水平降低(0.41±0.09 vs 1.00±0.18),差异具有统计学意义(t=10.997,15.956,均P<0.001)。与对照组比较,模型组小鼠踝关节组织中miR-142-5p水平(4.00±0.52 vs 1.00±0.04)升高,IFN-γ和IL-17的mRNA和蛋白水平均升高,SOCS1,IL-4和FOXP3的mRNA和蛋白水平均降低,差异具有统计学意义(t=23.356,31.420,48.056,47.224,38.035,29.007,54.183,28.123,55.155,26.758,45.346,均P<0.05);关节炎症状评分升高(7.83±0.94 vs 0.00±0.00,t=22.212,P<0.05),踝关节结构破坏明显;血清中IFN-γ,IL-17水平以及IFN-γ/IL-4比值(0.81±0.08 vs 2.08±0.33)和IL-17/FOXP3比值(0.41±0.03 vs 1.27±0.10)均升高,差异具有统计学意义(t=15.382,35.779,15.412,35.130,均P<0.05)。与阴性组比较,拮抗剂组小鼠踝关节组织中miR-142-5p水平(1.47±0.10 vs 3.89±0.33)降低,IFN-γ和IL-17的mRNA和蛋白水平均降低,SOCS1,IL-4和FOXP3的mRNA和蛋白水平均升高,差异具有统计学意义(t=18.846,22.969,43.454,32.617,23.259,20.881,41.832,11.994,32.977,15.190,35.834,均P<0.05);关节炎症状评分降低(7.42±1.24 vs 2.75±0.75,t=13.233,P<0.05),踝关节形态明显改善;血清中IFN-γ,IL-17水平以及IFN-γ/IL-4比值(1.22±0.11 vs 1.91±0.19)和IL-17/FOXP3比值(0.69±0.05vs 1.23±0.12)均降低,差异具有统计学意义(t=8.688,22.972,8.377,22.007,均P<0.05)。结论miR-142-5p在AS中高表达,使用拮抗剂下调miR-142-5p可能通过上调SOCS1进而降低Th1/Th2和Th17/Treg比值,从而改善AS小鼠的免疫平衡并抑制AS的进展。展开更多
Artificial neural networks(ANN) have been extensively researched due to their significant energy-saving benefits.Hardware implementations of ANN with dropout function would be able to avoid the overfitting problem. Th...Artificial neural networks(ANN) have been extensively researched due to their significant energy-saving benefits.Hardware implementations of ANN with dropout function would be able to avoid the overfitting problem. This letter reports a dropout neuronal unit(1R1T-DNU) based on one memristor–one electrolyte-gated transistor with an ultralow energy consumption of 25 p J/spike. A dropout neural network is constructed based on such a device and has been verified by MNIST dataset, demonstrating high recognition accuracies(> 90%) within a large range of dropout probabilities up to40%. The running time can be reduced by increasing dropout probability without a significant loss in accuracy. Our results indicate the great potential of introducing such 1R1T-DNUs in full-hardware neural networks to enhance energy efficiency and to solve the overfitting problem.展开更多
文摘目的探究强直性脊柱炎(ankylosing spondylitis,AS)模型小鼠和临床患者外周血单个核细胞(peripheralblood mononuclear cell,PBMC)中微小RNA-142-5p(miR-142-5p),细胞因子信号转导抑制因子1(suppressor ofcytokine signaling 1,SOCS1)mRNA表达及其对免疫功能的影响。方法通过实时荧光定量(quantitative real timePCR,qRT-PCR)检测2022年1月~2023年3月商丘市第一人民医院收治的30例确诊的AS患者(患者组)和30例健康体检者(健康组)的PBMC中miR-142-5p和SOCS1 mRNA水平。采用牛蛋白聚糖联合完全弗氏佐剂诱导AS小鼠模型,然后将小鼠分为对照组、模型组、阴性组和拮抗剂组。对照组和模型组小鼠尾静脉注射生理盐水,阴性组和拮抗剂组小鼠分别尾静脉注射NC-antagomir和miR-142-5p-antagomir。治疗2周后,分别评估各组小鼠的关节炎症状评分。通过苏木精伊红(hematoxylin eosin,HE)染色评价踝关节形态。采用ELISA法检测小鼠血清中Th1细胞因子干扰素γ(IFN-γ)、Th2细胞因子白细胞介素-4(IL-4)、Th17细胞因子白细胞介素-17(IL-17)和Treg细胞因子叉头盒蛋白P3(FOXP3)的表达水平。通过qRT-PCR和Western blot检测PBMC和踝关节组织中miR-142-5p,SOCS1,IFN-γ,IL-4,IL-17和FOXP3的mRNA和蛋白表达水平。结果与健康组比较,患者组PBMC中miR-142-5p水平升高(3.03±0.99 vs1.00±0.21),SOCS1 mRNA水平降低(0.41±0.09 vs 1.00±0.18),差异具有统计学意义(t=10.997,15.956,均P<0.001)。与对照组比较,模型组小鼠踝关节组织中miR-142-5p水平(4.00±0.52 vs 1.00±0.04)升高,IFN-γ和IL-17的mRNA和蛋白水平均升高,SOCS1,IL-4和FOXP3的mRNA和蛋白水平均降低,差异具有统计学意义(t=23.356,31.420,48.056,47.224,38.035,29.007,54.183,28.123,55.155,26.758,45.346,均P<0.05);关节炎症状评分升高(7.83±0.94 vs 0.00±0.00,t=22.212,P<0.05),踝关节结构破坏明显;血清中IFN-γ,IL-17水平以及IFN-γ/IL-4比值(0.81±0.08 vs 2.08±0.33)和IL-17/FOXP3比值(0.41±0.03 vs 1.27±0.10)均升高,差异具有统计学意义(t=15.382,35.779,15.412,35.130,均P<0.05)。与阴性组比较,拮抗剂组小鼠踝关节组织中miR-142-5p水平(1.47±0.10 vs 3.89±0.33)降低,IFN-γ和IL-17的mRNA和蛋白水平均降低,SOCS1,IL-4和FOXP3的mRNA和蛋白水平均升高,差异具有统计学意义(t=18.846,22.969,43.454,32.617,23.259,20.881,41.832,11.994,32.977,15.190,35.834,均P<0.05);关节炎症状评分降低(7.42±1.24 vs 2.75±0.75,t=13.233,P<0.05),踝关节形态明显改善;血清中IFN-γ,IL-17水平以及IFN-γ/IL-4比值(1.22±0.11 vs 1.91±0.19)和IL-17/FOXP3比值(0.69±0.05vs 1.23±0.12)均降低,差异具有统计学意义(t=8.688,22.972,8.377,22.007,均P<0.05)。结论miR-142-5p在AS中高表达,使用拮抗剂下调miR-142-5p可能通过上调SOCS1进而降低Th1/Th2和Th17/Treg比值,从而改善AS小鼠的免疫平衡并抑制AS的进展。
基金Project supported by the National Key Research and Development Program of China (Grant Nos. 2021YFA1202600 and 2023YFE0208600)in part by the National Natural Science Foundation of China (Grant Nos. 62174082, 92364106, 61921005, 92364204, and 62074075)。
文摘Artificial neural networks(ANN) have been extensively researched due to their significant energy-saving benefits.Hardware implementations of ANN with dropout function would be able to avoid the overfitting problem. This letter reports a dropout neuronal unit(1R1T-DNU) based on one memristor–one electrolyte-gated transistor with an ultralow energy consumption of 25 p J/spike. A dropout neural network is constructed based on such a device and has been verified by MNIST dataset, demonstrating high recognition accuracies(> 90%) within a large range of dropout probabilities up to40%. The running time can be reduced by increasing dropout probability without a significant loss in accuracy. Our results indicate the great potential of introducing such 1R1T-DNUs in full-hardware neural networks to enhance energy efficiency and to solve the overfitting problem.
