Objective To study the effect of xuebijing on the expression of Caspase-3 in lung tissues and inflammatory factors in serum in acute respiratory distress syndrome rat model with paraquat poisoning. Methods Selecting 50 healthy rats and dividing into 5 groups randomly, Control group, Paraquat group, Low-dose xuebijing group(LD), Middle-dose xuebijing group(MD), High-dose xuebijing group(HD). Using 25 mg/kg paraquat solution to establish the animal model. 14 μmol/kg, 28 μmol/kg, 56μmol/kg xuebijing solution were injected into the abdominal cavity in LD, MD and HD group respectively, and the same dose of normal saline was injected into Control and Paraquat group. The expression levels of TNF-α and IL-6 in plasma were detected by ELISA after 24 hours, Immunohistochemistry was used to detect the expression levels of caspase-3 in the right lung tissue, and TUNEL method was used to detect apoptosis in the right lung tissue. Results The expression levels of TNF-α and IL-6 in plasma were significantly increased after paraquat poisoning, and expression of Caspase-3 protein was also significantly increased in lung tissue(P<0.01). After different dose of xuebijing treatment, the levels of TNF-α and IL-6 in plasma and the protein expression of Caspase-3 in lung tissue were much lower than those in Paraquat group, but still higher than those in Control group(P<0.05), the apoptosis levels in MD and HD groupwere much lower than those in Paraquat group(P<0.05). Conclusions Xuebijing can significantly reduce the level of inflammatory factors in plasma, suppress the Caspase-3 protein expression and apoptosis in lung tissue in acute respiratory distress syndrome rat model with paraquat poisoning.

By analyzing the epidemic characteristics of influenza during the COVID-19 epidemic in Jiangsu Province from 2020 to 2022, it found that 90 721 influenza-like case samples were collected in Jiangsu Province from 2020 to 2022, of which 6 732 were nucleic acid-positive samples, with an average positive detection rate of 7.4% in three years. The annual positive detection rate presented a U-shaped distribution, with positive detection rates of 4.4%, 3.2% and 14.7%, respectively, with statistically significant differences ( χ2=12 126.00, P<0.001). During the seasonal peak period of influenza from 2020 to 2022, there was a significant decrease in the intensity of the two influenza activity peaks that occurred before the virus became fully prevalent in the population. The first peak occurred from January to February 2020, and the positive detection rate of influenza nucleic acid decreased from 54.4% (317/583) in the third week to 2.1% (12/584) in the eighth week, with a statistically significant difference ( χ2=394.49 , P<0.001) . The second occurred in December 2022, and the positive detection rate of influenza nucleic acid decreased from 14.9% (90/605) at the 49th week to 1.9% (11/572) at the 52nd week, with a statistically significant difference ( χ2=62.88, P<0.001). The influenza epidemic in Jiangsu Province from 2020 to 2022 had obvious seasonal characteristics, and the distribution differences of influenza virus-positive cases in each month were statistically significant ( χ2=858.00, P<0.001), with two epidemic peaks each year: winter, spring (December to March of the following year), and summer, and autumn (July to November). The epidemic strains were the B-V strain and seasonal H3 strain, respectively. There was a statistically significant difference in the positive detection rate of influenza cases detected in different age groups ( χ2=60.00, P<0.001). The age group between 5 and 14 years old had the highest influenza-positive detection rate (10.4%), while the age group≥60 years old had a relatively low influenza-positive detection rate (5.1%). The positive detection rate decreased with the increase in the age group ( Z trend=12.82, P<0.001).

By analyzing the epidemic characteristics of influenza during the COVID-19 epidemic in Jiangsu Province from 2020 to 2022, it found that 90 721 influenza-like case samples were collected in Jiangsu Province from 2020 to 2022, of which 6 732 were nucleic acid-positive samples, with an average positive detection rate of 7.4% in three years. The annual positive detection rate presented a U-shaped distribution, with positive detection rates of 4.4%, 3.2% and 14.7%, respectively, with statistically significant differences ( χ2=12 126.00, P<0.001). During the seasonal peak period of influenza from 2020 to 2022, there was a significant decrease in the intensity of the two influenza activity peaks that occurred before the virus became fully prevalent in the population. The first peak occurred from January to February 2020, and the positive detection rate of influenza nucleic acid decreased from 54.4% (317/583) in the third week to 2.1% (12/584) in the eighth week, with a statistically significant difference ( χ2=394.49 , P<0.001) . The second occurred in December 2022, and the positive detection rate of influenza nucleic acid decreased from 14.9% (90/605) at the 49th week to 1.9% (11/572) at the 52nd week, with a statistically significant difference ( χ2=62.88, P<0.001). The influenza epidemic in Jiangsu Province from 2020 to 2022 had obvious seasonal characteristics, and the distribution differences of influenza virus-positive cases in each month were statistically significant ( χ2=858.00, P<0.001), with two epidemic peaks each year: winter, spring (December to March of the following year), and summer, and autumn (July to November). The epidemic strains were the B-V strain and seasonal H3 strain, respectively. There was a statistically significant difference in the positive detection rate of influenza cases detected in different age groups ( χ2=60.00, P<0.001). The age group between 5 and 14 years old had the highest influenza-positive detection rate (10.4%), while the age group≥60 years old had a relatively low influenza-positive detection rate (5.1%). The positive detection rate decreased with the increase in the age group ( Z trend=12.82, P<0.001).