Pudilan Xiaoyan oral liquid regulates tissue inflammation and apoptosis in mice with influenza virus pneumonia

Background:The influenza A virus is the primary cause of respiratory infections and poses a global health risk.Pudilan Xiaoyan oral liquid(PDL)exhibits anti-inflammatory and immunomodulatory properties.PDL is commonly employed in clinical practice to manage upper respiratory tract infections.However,there is still much to uncover regarding its potential therapeutic mechanism.Methods:Institute of cancer research mice were infected with influenza A virus via nasal drip.The general state of the mice,lung index,and lung index inhibition rate were used to evaluate the efficacy of PDL.Enzyme-linked immunosorbent assay,western blotting,and immunohistochemistry were used to observe the presence of proteins and cytokines in the lung tissue.Apoptosis was evaluated using the TUNEL assay.Results:PDL improved the mental state of influenza A virus-infected mice,reduced the lung index,and inhibited viral replication.The expression of interleukin-1βand tumor necrosis factor-αwere decreased,whereas the expression of interleukin-10 in the lung tissue was increased due to PDL treatment.In addition,PDL treatment modulated Toll-like receptor 4 and MyD88 expressions in the lung tissues.PDL significantly reduced apoptosis and decreased cleaved caspase-3 and PARP levels,whereas increased B-cell lymphoma-2 expression in the lung tissue.Notably,the moderate-dose group of PDL exhibited a more pronounced effect.These findings indicate that PDL exerts a protective effect against pneumonia injury in influenza A virus-infected mice.Conclusion:PDL inhibited the inflammatory response and regulated apoptosis by regulating Toll-like receptor 4 and MyD88 protein expressions,thereby protecting the lung tissue from viral infection-induced lung tissue injury.

Pharmacodynamic study in multi-animal models on the efficacy and optimal dosage of antiviral oral liquid for children

Antiviral Oral Liquid(AOL)is an adult medicine in the Chinese Pharmacopoeia used to treat upper respiratory infections such as influenza.It has shown promising clinical efficacy in relieving flu-like symptoms such as fever,inflammation,and pharyngalgia both in adults and children.However,the instruction manual does not specify the exact usage and dosage of AOL for children.In this article,we set 6 dosage ranges:0.2,0.5,0.7,0.9,1.1,1.4 mL/kg/d,according to its dosage for adults and the conversion method between adult and children dosage.And six animal models were used to evaluate the effectiveness of AOL in different doses.The results indicated that AOL could reduce the lung index,virus load,and expression of proinflammatory cytokines in the lung.AOL could improve pathological changes and prolong the survival time of mice infected by the Influenza A virus(H1N1)A/PR/8/34 strains at 0.5–0.9 mL/kg/d concentrations in different degrees.The four dose groups of 0.7–1.4 mL/kg/d could significantly inhibit the ear shell swelling caused by xylene and reduce the rabbit body temperature induced by lipopolysaccharide(P<0.01,P<0.05).All the five dosage groups of 0.2–1.1 mL/kg/d could inhibit the increase of peritoneal capillary permeability induced by glacial acetic acid(P<0.01).AOL at 0.7 and 0.9 mL/kg/d reduced the painful writhing times in young mice induced by glacial acetic(P<0.01).These results indicated that the optimal dose of AOL in antiviral,antipyretic,anti-inflammatory,and analgesic effects is 0.7 mL/kg/d.

Monitoring models for base flow effect and daily variation of dam seepage elements considering time lag effect

Affected by external environmental factors and evolution of dam performance, dam seepage behavior shows nonlinear time-varying characteristics. In this study, to predict and evaluate the long-term development trend and short-term fluctuation of the dam seepage behavior, two monitoring models were developed, one for the base flow effect and one for daily variation of dam seepage elements. In the first model, to avoid the influence of the time lag effect on the evaluation of seepage variation with the time effect component of seepage elements, the base values of the seepage element and the reservoir water level were extracted using the wavelet multi-resolution analysis method, and the time effect component was separated by the established base flow effect monitoring model. For the development of the daily variation monitoring model for dam seepage elements, all the previous factors, of which the measured time series prior to the dam seepage element monitoring time may have certain influence on the monitored results, were considered. Those factors that were positively correlated with the analyzed seepage element were initially considered to be the support vector machine(SVM) model input factors, and then the SVM kernel function-based sensitivity analysis was performed to optimize the input factor set and establish the optimized daily variation SVM model. The efficiency and rationality of the two models were verified by case studies of the water level of two piezometric tubes buried under the slope of a concrete gravity dam.Sensitivity analysis of the optimized SVM model shows that the influences of the daily variation of the upstream reservoir water level and rainfall on the daily variation of piezometric tube water level are processes subject to normal distribution.