Objective To explore the correlation between blood biochemical indexes and blood pressure levels among college students in Kunming City.Methods In November 2021,a cluster sampling method was used to survey 4,781 college students at a university in Yunnan Province.Data collected included height,weight and blood pressure,and blood samples were collected for blood biochemical testing.The Mann-Whitney U test and Kruskal-Wallis H test were used to compare the distribution differences of hypertension among college students with different demographic characteristics,while a generalized linear model was used to analyze the correlation between blood biochemical indicators and blood pressure levels.Results The prevalence rate of hypertension among college students was 8.45%(404/4 781).After adjusting confounding variables,blood glucose(GLU,β=1.48,95%CI:0.75～2.20)and serum Total Protein(TP,β=0.25,95%CI:0.19～0.32)were found to be correlated with systolic blood pressure(SBP)levels(all P<0.05);blood glucose(GLU,β=1.25,95%CI:0.64～1.86)and serum total protein(TP,β=0.28,95%CI:0.23～0.34)were correlated with diastolic blood pressure(DBP)level(P<0.05).Stratified group analysis by sex showed that,after controlling for confounding factors,TP(β=0.32,95%CI:0.18～0.45)was correlated with SBP levels in male students;TP(β=0.32,95%CI:0.21～0.43)was correlated with DBP levels in male students(P<0.05).GLU(β=2.18,95%CI:1.29～3.07)and TP(β=0.23,95%CI:0.15～0.31)were correlated with SBP levels in female students;GLU(β=1.48,95%CI:0.73～2.24)and TP(β=0.26,95%CI:0.20～0.33)were correlated with DBP levels in female students(all P<0.05).Conclusion Our findings suggest that blood glucose and serum total protein level are correlated with blood pressure levels in female college students,while serum total protein level are correlated with blood pressure levels in male college students.

OBJECTIVE: Anemoside B4 (AB4), the most abundant triterpenoidal saponin isolated from Pulsatilla chinensis, inhibited influenza virus FM1 or Klebsiella pneumoniae-induced pneumonia. However, the anti-SARS-CoV-2 effect of AB4 has not been unraveled. Therefore, this study aimed to determine the antiviral activity and potential mechanism of AB4 in inhibiting human coronavirus SARS-CoV-2 in vivo and in vitro. METHODS: The cytotoxicity of AB4 was evaluated using the Cell Counting Kit-8 (CCK8) assay. SARS-CoV-2 infected HEK293T, HPAEpiC, and Vero E6 cells were used for in vitro assays. The antiviral effect of AB4 in vivo was evaluated by SARS-CoV-2-infected hACE2-IRES-luc transgenic mouse model. Furthermore, label-free quantitative proteomics and bioinformatic analysis were performed to explore the potential antiviral mechanism of action of AB4. Type I IFN signaling-associated proteins were assessed using Western blotting or immumohistochemical staining. RESULTS: The data showed that AB4 reduced the propagation of SARS-CoV-2 along with the decreased Nucleocapsid protein (N), Spike protein (S), and 3C-like protease (3CLpro) in HEK293T cells. In vivo antiviral activity data revealed that AB4 inhibited viral replication and relieved pneumonia in a SARS-CoV-2 infected mouse model. We further disclosed that the antiviral activity of AB4 was associated with the enhanced interferon (IFN)-β response via the activation of retinoic acid-inducible gene I (RIG-1) like receptor (RLP) pathways. Additionally, label-free quantitative proteomic analyses discovered that 17 proteins were significantly altered by AB4 in the SARS-CoV-2 coronavirus infections cells. These proteins mainly clustered in RNA metabolism. CONCLUSION Our results indicated that AB4 inhibited SARS-CoV-2 replication through the RLR pathways and moderated the RNA metabolism, suggesting that it would be a potential lead compound for the development of anti-SARS-CoV-2 drugs.

We used the epidemic data of COVID-19 published on the official website of the municipal health commission in Anhui province. We mapped the spatiotemporal changes of confirmed cases, fitted the epidemic situation by the population growth curve at different stages and took statistical description and analysis of the epidemic situation in Anhui province. It was found that the cumulative incidence of COVID-19 was 156/100 000 by February 18, 2020 and the trend of COVID-19 epidemic declined after February 7, changing from J curve to S curve. The actual number of new cases began to decrease from February 2 to February 4 due to the time of case report and actual onset delayed by 3 to 5 days.