目的探讨三黄连合剂通过NOD样受体蛋白3(NOD-like receptor protein domain associated protein 3,NLRP3)/凋亡相关颗粒样蛋白(apoptosis-associated speck-like protein containing a CARD,ASC)/半胱氨酸天冬氨酸蛋白酶1(cysteine aspa...目的探讨三黄连合剂通过NOD样受体蛋白3(NOD-like receptor protein domain associated protein 3,NLRP3)/凋亡相关颗粒样蛋白(apoptosis-associated speck-like protein containing a CARD,ASC)/半胱氨酸天冬氨酸蛋白酶1(cysteine aspartic acid specific protease-1,Caspase-1)通路对哮喘患儿气道炎症的作用及机制。方法选取2021年1月—2023年10月就诊的90例哮喘患儿,采用数字表法随机分为观察组与对照组,各45例。观察2组哮喘患儿不良反应、1 s用力呼气容积(forced expiratory volume in the first second,FEV_(1)%)、最大呼气流量(peak expiratory flow,PEF)、用力肺活量(forced vital capacity,FVC)、白细胞介素-1β(interleukin-1β,IL-1β)及TNF-α(tumor necrosis factor-α,TNF-α)表达水平差异。结果观察组不良反应发生率为6.66%,对照组为11.11%,差异无统计学意义(P>0.05)。观察组总有效率为95.56%,高于对照组的80.00%(P<0.05)。治疗后FEV_(1)%、PEF、FVC、哮喘控制测试表(asthma control test,ACT)评分高于对照组(P<0.05)。治疗后观察组血清IL-1β、IL-6、IL-8、IL-17、IL-18水平低于对照组(P<0.05)。治疗后观察组患儿血清NLRP3、ASC、Caspase-1、IL-1β蛋白表达水平低于对照组(P<0.05)。结论三黄连合剂治疗能减轻哮喘患儿气道炎症反应,降低炎症因子水平,改善肺功能,减轻病情,提高疗效,其可能通过NLRP3/ASC/Caspase-1通路发挥作用。展开更多
目的探讨自身免疫性甲状腺炎伴发抑郁症动物模型的制备与评价,并基于NOD样受体蛋白-3(NOD-like receptor protein 3,NLRP3)/含半胱氨酸的天冬氨酸蛋白水解酶-1(cysteinyl aspartate specific proteinase-1,Caspase-1)/消皮素D(gasdermin...目的探讨自身免疫性甲状腺炎伴发抑郁症动物模型的制备与评价,并基于NOD样受体蛋白-3(NOD-like receptor protein 3,NLRP3)/含半胱氨酸的天冬氨酸蛋白水解酶-1(cysteinyl aspartate specific proteinase-1,Caspase-1)/消皮素D(gasdermin D,GSDMD)通路加以验证。方法32只NOD.H-2H4小鼠随机分为正常组(N组)、抑郁组(DP组)、自身免疫性甲状腺炎伴抑郁症组(AIT+DP组)、自身免疫性甲状腺炎组(AIT组),每组8只。N组正常饲养,DP组采取5周慢性不可预知温和刺激(chronic unpredictable mild stress,CUMS),AIT组予0.05%碘化钠水溶液建立自身免疫性甲状腺炎模型,AIT+DP组在建立AIT动物模型基础上施加5周CUMS建立AIT+DP动物模型。通过观测小鼠甲状腺组织结构及淋巴细胞浸润情况和血清甲状腺过氧化物酶抗体(thyroid peroxidase antibody,TPOAb)和甲状腺球蛋白抗体(anti-thyroid autoantibodies,TGAb)水平评价小鼠自身免疫性甲状腺炎模型是否制备成功;通过测定体重、糖水偏好率、旷场行为学(中央象限时间、中央象限比例、站立次数、排便次数、毛发梳理时间),大脑皮质、海马病理变化及大脑皮质小胶质细胞焦亡相关蛋白水平评价小鼠抑郁状态。模型小鼠同时符合上述自身免疫性甲状腺炎与抑郁症相关指标检测,则表明AIT+DP动物模型制备成功。结果与N组比较,AIT组与AIT+DP组血清TGAb、TPOAb水平显著增加(P<0.01),甲状腺可见大量炎细胞浸润,DP组与AIT+DP组小鼠中央象限时间、中央象限比例、站立次数、排便次数、毛发梳理时间有不同程度降低,大脑皮质神经胶质细胞增多,神经元细胞减少,伴有部分细胞核萎缩,NLRP3、IL-1β、Caspase-1、GSDMD-N蛋白表达水平显著上调,AIT+DP组尤为明显(P<0.01)。结论0.05%碘化钠水溶液与CUMS可较好地模拟AIT+DP模型动物外在表现与内在指标变化,可为AIT+DP疾病的研究提供动物模型参考。展开更多
Retrieval of Thin-Ice Thickness(TIT)using thermodynamic modeling is sensitive to the parameterization of the independent variables(coded in the model)and the uncertainty of the measured input variables.This article ex...Retrieval of Thin-Ice Thickness(TIT)using thermodynamic modeling is sensitive to the parameterization of the independent variables(coded in the model)and the uncertainty of the measured input variables.This article examines the deviation of the classical model’s TIT output when using different parameterization schemes and the sensitivity of the output to the ice thickness.Moreover,it estimates the uncertainty of the output in response to the uncertainties of the input variables.The parameterized independent variables include atmospheric longwave emissivity,air density,specific heat of air,latent heat of ice,conductivity of ice,snow depth,and snow conductivity.Measured input parameters include air temperature,ice surface temperature,and wind speed.Among the independent variables,the results show that the highest deviation is caused by adjusting the parameterization of snow conductivity and depth,followed ice conductivity.The sensitivity of the output TIT to ice thickness is highest when using parameterization of ice conductivity,atmospheric emissivity,and snow conductivity and depth.The retrieved TIT obtained using each parameterization scheme is validated using in situ measurements and satellite-retrieved data.From in situ measurements,the uncertainties of the measured air temperature and surface temperature are found to be high.The resulting uncertainties of TIT are evaluated using perturbations of the input data selected based on the probability distribution of the measurement error.The results show that the overall uncertainty of TIT to air temperature,surface temperature,and wind speed uncertainty is around 0.09 m,0.049 m,and−0.005 m,respectively.展开更多
文摘目的探讨三黄连合剂通过NOD样受体蛋白3(NOD-like receptor protein domain associated protein 3,NLRP3)/凋亡相关颗粒样蛋白(apoptosis-associated speck-like protein containing a CARD,ASC)/半胱氨酸天冬氨酸蛋白酶1(cysteine aspartic acid specific protease-1,Caspase-1)通路对哮喘患儿气道炎症的作用及机制。方法选取2021年1月—2023年10月就诊的90例哮喘患儿,采用数字表法随机分为观察组与对照组,各45例。观察2组哮喘患儿不良反应、1 s用力呼气容积(forced expiratory volume in the first second,FEV_(1)%)、最大呼气流量(peak expiratory flow,PEF)、用力肺活量(forced vital capacity,FVC)、白细胞介素-1β(interleukin-1β,IL-1β)及TNF-α(tumor necrosis factor-α,TNF-α)表达水平差异。结果观察组不良反应发生率为6.66%,对照组为11.11%,差异无统计学意义(P>0.05)。观察组总有效率为95.56%,高于对照组的80.00%(P<0.05)。治疗后FEV_(1)%、PEF、FVC、哮喘控制测试表(asthma control test,ACT)评分高于对照组(P<0.05)。治疗后观察组血清IL-1β、IL-6、IL-8、IL-17、IL-18水平低于对照组(P<0.05)。治疗后观察组患儿血清NLRP3、ASC、Caspase-1、IL-1β蛋白表达水平低于对照组(P<0.05)。结论三黄连合剂治疗能减轻哮喘患儿气道炎症反应,降低炎症因子水平,改善肺功能,减轻病情,提高疗效,其可能通过NLRP3/ASC/Caspase-1通路发挥作用。
文摘Retrieval of Thin-Ice Thickness(TIT)using thermodynamic modeling is sensitive to the parameterization of the independent variables(coded in the model)and the uncertainty of the measured input variables.This article examines the deviation of the classical model’s TIT output when using different parameterization schemes and the sensitivity of the output to the ice thickness.Moreover,it estimates the uncertainty of the output in response to the uncertainties of the input variables.The parameterized independent variables include atmospheric longwave emissivity,air density,specific heat of air,latent heat of ice,conductivity of ice,snow depth,and snow conductivity.Measured input parameters include air temperature,ice surface temperature,and wind speed.Among the independent variables,the results show that the highest deviation is caused by adjusting the parameterization of snow conductivity and depth,followed ice conductivity.The sensitivity of the output TIT to ice thickness is highest when using parameterization of ice conductivity,atmospheric emissivity,and snow conductivity and depth.The retrieved TIT obtained using each parameterization scheme is validated using in situ measurements and satellite-retrieved data.From in situ measurements,the uncertainties of the measured air temperature and surface temperature are found to be high.The resulting uncertainties of TIT are evaluated using perturbations of the input data selected based on the probability distribution of the measurement error.The results show that the overall uncertainty of TIT to air temperature,surface temperature,and wind speed uncertainty is around 0.09 m,0.049 m,and−0.005 m,respectively.
