Adult ; Drug Resistance, Microbial ; Female ; Humans ; Male ; Middle Aged ; Pneumonia ; complications ; microbiology ; Silicotuberculosis ; complications ; microbiology

Objective To evaluate the effect of Eucommia on hyperlipidemia and related indexes in rats, and provide animal data useful for the clinical experimental studies on hyperlipidemia.Methods Seventy-two healthy male SD rats were used in this study.One group of 12 rats fed with normal diet was chosen as normal control group, and other 60 rats were fed with high fat diet for two weeks to generate rat models of hyperlipidemia.48 of the hyperlipidemic model rats were taken and divided randomly into 4 groups, including model group, high dose Eucommia, moderate dose Eucommia, and low dose Eucommia groups.The last three groups were gavaged different dose of Eucommia, respectively.Druing this period, the other groups except the normal control group were fed with high fat diet continuously.The levels of serum TC, TG, LDL-C, and HDL-C of rats were measured on day 30 and 45.Results The serum levels of TC and LDL-C of the rats in the model group were obviously higher than those in the normal control group.The rat models of hyperlipidemia were established successfully.The three dose groups had a tendency of lowing blood lipid after 30 days.At 45 days, the levels of serum TC and LDL-C in the low and high dose groups were lower than those in the model group (P<0.01, P<0.05), (P<0.01, P<0.01).TG in the high, moderate and low dose groups were lower than that in the model group (P<0.01, P<0.01, P<0.01), but the level of the serum HDL-C was not significantly lower than that in the model group (P>0.05, P>0.05, P>0.05).Conclusions Eucommia in a dose of 0.43 g/kg, 0.86 g/kg and 1.71 g/kg administered for 30 days have a tendency to reduce the level of serum TC, TG, and LDL-C.When Eucommia is administered in a dose of 0.43 g/kg, 1.71g/kg and 3.42 g/kg for 45 days, it shows an adjuvant hypolipidemic effect.

Objective:To analyze the epidemiological characteristics of respiratory virus infections in Sichuan from 2017 to 2023, and investigate the changes in detection rates of various viruses in different periods and age groups.Methods:The study included 41 516 patients with acute respiratory infections. Clinical laboratory results of these patients were retrospectively collected to calculate the detection rates of various viruses. The epidemiological characteristics of respiratory virus infections before, during, and after the COVID-19 pandemic, the prevalence of mixed infections, and the detection rates in different seasons and age groups were analyzed.Results:The overall detection rate of respiratory viruses was 23.35% (9 696/41 516), with influenza A virus (8.47%, 3 515/41 516), rhinovirus (7.13%, 2 961/41 516), and influenza B virus (2.04%, 846/41 516) being the most prevalent. The highest detection rate was observed in children aged 0-14 years (48.62%, 1 429/2 939), while the detection rates in young, middle-aged, and elderly individuals were similar [21.00% (1 482/7 057), 22.06% (3 828/17 350), 20.33% (2 685/13 205)]. The detection rate of influenza A virus dropped to 1.35% (253/18 717) during the COVID-19 pandemic, and rebounded to 13.05% (1 560/11 953) after the pandemic. A similar pattern was observed in other viruses such as human metapneumovirus, influenza B virus, coronavirus, and respiratory syncytial virus, with significant reductions during the COVID-19 pandemic and subsequent increases that even exceeded pre-pandemic levels. The detection rates of adenovirus, bocavirus, and rhinovirus gradually decreased over time, while the prevalence of parainfluenza virus remained stable, indicating a less significant impact of COVID-19 on these viruses. Higher detection rates were observed in autumn (28.90%, 2 324/8 041) and winter (26.52%, 4 093/15 433) as compared to that in spring (17.61%, 1 848/10 494) and summer (18.96%, 1 431/7 548), suggesting significant seasonal impacts on virus detection rates ( P<0.001). This study identified 8 666 cases of single-virus infections, 948 double infections, 77 triple infections, and five quadruple infections. Co-infection of bocavirus and rhinovirus was the most common type of double infections (17.41%, 165/948), and 59.60% (565/948) of double infections involved rhinovirus. Conclusions:The overall detection rate of respiratory viruses is higher in autumn and winter than in spring and summer. The prevalence of some respiratory viruses such as influenza viruses decreases during the COVID-19 pandemic. People of different ages can develop multiple infections with rhinovirus being the most common in double infections.

Adult ; China ; DNA Repeat Expansion ; Female ; Humans ; Male ; Middle Aged ; Pedigree ; RNA, Long Noncoding ; genetics ; Spinocerebellar Degenerations ; genetics ; physiopathology