OBJECTIVE:To study the pharmacokinetics of balofloxacin tablets in Chinese healthy volunteers.METHODS:A single dose of 100 or 200 mg balofloxacin tablets were given to 12 healthy volunteers in a randomized crossover design.Concentrations of balofloxacin in plasma and urine were determined by HPLC with data processed by DAS(drug and statistics)software.RESULTS:After administration of balofloxacin 100 mg and 200 mg,the Cmax were(0.970?0.245)?g?mL-1 and(1.849?0.466)?g?mL-1;the tmax were(1.25?1.10)h and(1.24?0.81)h;the t1/2 were(7.14?1.01)h and(7.11?0.72)h;the AUC0～36 were(7.309?1.368)?g?h?mL-1 and(15.214?1.727)?g?h?mL-1;AUC0～∞ were(7.531?1.386)?g?h?mL-1 and(15.695?1.762)?g?h?mL-1;the accumulative eliminating rates within 36 h in urine were(64.47?11.56)% and(63.24?11.93)%,respectively.CONCLUSION:The pharmacokinetics of balofloxacin in healthy volunteer after oral administration was characterized by high peak concentration and long half life.The method is sensitive,accurate,reliable and specific,and can satisfy the requirements for pharmaceutical study.

Objective:To analyze the trend of disease burden of oral cancer attributable to smoking in China from 1990 to 2019, and predict the mortality trend of oral cancer from 2020 to 2034, providing scientific basis for formulating targeted oral cancer prevention and treatment strategy to achieve the goal of "Healthy China 2030".Methods:Using partial data on the global burden of disease in China in 2019, attributive death and disability adjusted life year (DALY) were used to describe. The trend of changes in the burden of oral cancer disease attributed to smoking was analyzed by using the Joinpoint regression model to estimate the annual average percentage change (AAPC) of age standardized mortality and DALY rates. Meanwhile, the Bayesian age-period- cohort model is used to predict oral cancer deaths and DALY trends attributed to smoking over the next 15 years.Results:The age-standardized mortality rate and DALY rate in China from 1990 to 2019 showed an overall upward trend, with an average annual increase of 1.49% (95 %CI: 1.34%-1.65%, P<0.001) and 1.41% (95 %CI: 1.24%-1.59%, P<0.001) respectively, higher than around the earth and in regions with different socio-demographic index (SDI). In 2019, 46.74% (10 584/22 642) of oral cancer deaths in China were attributed to smoking. Compared to 1990, the number of attributed deaths in 2019 increased by 293.75% (7 896/2 688), while DALY increased by 257.97% (189 039/73 280). Moreover, the growth rates of attributed deaths and DALY in males [304.95% (7 584/2 487) and 265.60% (183 349/69 033), respectively] were significantly higher than those in females [154.73% (311/201) and 133.95% (5 690/4 248), respectively] ( P<0.001). The age group results showed that the proportion of deaths and DALY gradually transitioned towards the elderly (>60 years old). The expected number of deaths would increase from 10 731 in 2020 to 14 125 in 2034, with a rise of 31.63% (3 394/10 731). Simultaneously, DALY would increase from 267 064 person years in 2020 to 326 634 person years in 2034, with a rise of 22.31% (59 570/267 064). Conclusions:From 1990 to 2019, the burden of oral cancer diseases attributed to smoking in China showed an increasing trend, with a higher growth rates than in the global and different SDI regions. There were differences in gender and age, and the burden of oral cancer diseases attributed to smoking in China would continue to increase in the next 15 years. It is necessary to educate on the adverse effects of tobacco consumption and to conduct vigilant oral self-examination among high-risk groups to help early detection and intervention at the same time.

Objective:To analyze the correlation between fatty liver index (FLI) and myocardial remodeling.Methods:For cross-sectional study, cluster sampling was used to conduct a follow-up study of “Risk evaluation of cancers in Chinese diabetic individuals: A longitudinal (REACTION) study” among communities of Gucheng and Pingguoyuan of Beijing from April 2015 to September 2015. According to the inclusion and exclusion criteria, 8 848 participants were selected. Biochemical indicators such as body mass index, waist circumference, triglycerides, and γ-glutamyl transpeptidase were detected to calculate the FLI. The correlation between FLI and myocardial remodeling was analyzed. Interventricular septal thickness (IVS), left atrial diameter (LAD), left ventricular end diastolic diameter (LVEDD), and the presence of diastolic dysfunction were measured by color doppler ultrasound. The participants were divided into Q1 group (FLI<30, 4 529 cases), Q2 group (30≤FLI<60, 2 762 cases), and Q3 group (FLI≥60, 1 557 cases) based on FLI levels. Single factor analysis of variance was used for inter-group comparison, logistic regression analysis was used to analyze the correlation between FLI and myocardial remodeling.Results:A total of 8 848 subjects were selected for the study (3 110 male and 5 738 female, mean age: 59.96 years). The IVS of Q1, Q2, and Q3 groups were (9.35±1.08), (9.73±1.22), and (10.07±1.31) mm, respectively. The LAD were (30.94±3.90), (33.37±4.12), and (34.98±4.47) mm, respectively. The LVEDD were (42.51±5.05), (44.43±5.10), and (46.06±5.52) mm, respectively. All increased with the increase of FLI (all P<0.001). FLI was an independent risk factor for IVS thickening, LAD increase, LVEDD increase, and diastolic function decrease. The respective risks for IVS thickening, LAD increase, LVEDD increase, and diastolic function decrease in a population with intermediate and higher FLI levels was 1.62 times (95% CI 1.39-1.89) and 2.53 times (95% CI 2.13-3.00); 2.71 times (95% CI 2.39-3.06) and 5.00 times (95% CI 4.12-6.08); 2.36 times (95% CI 1.85-3.00) and 4.33 times (95% CI 3.33-5.62); and 1.90 times (95% CI 1.63-2.19) and 1.95 times (95% CI 1.60-2.37) than those with lower FLI levels. Conclusion:There is a certain relevance between FLI and myocardial remodeling.

Objective:To analyze the correlation between fatty liver index (FLI) and the outcomes of individuals with high normal blood pressure.Methods:In this retrospective cohort study, data from the follow-up population of the Beijing branch of the Risk Evaluation of Cancers in Chinese Diabetic Individuals: A Longitudinal (REACTION) study conducted from December 2011 to August 2012 were selected. Obtain indicators such as height, weight, waist circumference, fasting blood glucose, 2-h postprandial blood glucose, triglycerides, high-density lipoprotein cholesterol, and glutamyl transpeptidase were measured, and the FLI was calculated. The population with high normal blood pressure was divided into the FLI<30 group (1 822 cases); 30≤FLI<60 group (1 026 cases); and FLI≥60 group (473 cases) based on FLI levels. The blood pressure outcome data from the follow-up survey of this population from April 2015 to September 2015 were collected. Single factor analysis of variance was used for intergroup comparison, and logistic regression was used to analyze the correlation between FLI and the outcome of high normal blood pressure in the population.Results:The FLI was an independent influencing factor for their conversion to normal blood pressure (all P<0.01). Among all observed populations, the likelihood of conversion to normal blood pressure in the 30≤FLI<60 group and FLI≥60 group was 0.63 (95% CI 0.51-0.78) and 0.61 (95% CI 0.45-0.82) of the FLI<30 group, respectively. In the population of 40≤age<60 years, this likelihood was 0.60 (95% CI 0.47-0.76) and 0.57 (95% CI 0.41-0.79), respectively. FLI is not an independent influencing factor for the conversion to normal blood pressure in individuals aged over 60 years ( P=0.161). FLI is an independent risk factor for hypertension (all P<0.05). Among all observed populations and population of 40≤age<60 years and age>60 years, the risk of hypertension in the 30≤FLI<60 group and FLI≥60 group was 1.49 times (95% CI 1.23-1.80) and 1.54 times (95% CI 1.19-1.98); 1.41 times (95% CI 1.13-1.75) and 1.38 times (95% CI 1.04-1.83); and 1.75 times (95% CI 1.22-2.53) and 2.10 times (95% CI 1.24-3.58) of the FLI<30 group, respectively. Conclusions:There is a correlation between FLI levels and future outcomes of individuals with normal high blood pressure. Although people with higher FLI are more likely to develop hypertension, those with higher FLI are also less likely to develop normal blood pressure in the 40≤age<60-year group.