To analyze naringin, naringenin and its metabolites in rat urine and feces after intragastric administration of alcohol extract of Exocarpium Citri Grandis, healthy SD rats were fed with alcohol extract of Exocarpium Citri Grandis for 3 days. On the last day, 0-24 h feces and 0-4 h, 4-8 h, 8-24 h urine were collected and analyzed by UPLC-Q-TOF/MS. The post-acquisition data were processed using Metabolynx The result is that naringin and its 6 metabolites, naringenin and its 4 metabolites were detected in the urine of rat. Meanwhile, naringin and its 3 metabolites, naringenin and its 2 metabolites were detected in the feces of rat.

OBJECTIVETo analyze naringin, naringenin and its metabolites in rat plasma after intragastric administration of exocarpium Citri grandis alcohol extract.

METHODRat blood samples were collected 1.0 hour after oral administration of 50 g x kg(-1) exocarpium Citri grandis alcohol extract and analyzed by UPLC-Q-TOF with MS(E) function. The post-acquisition data were processed using Metabolynx.

RESULTNaringin (M1), naringenin (M2), naringin-5-O-glucuronide (M3), naringin-4-O-glucuronide (M4), glucuronide conjugate of naringenin (M5), naringin-4-O-sulfate (M6), methylated conjugate of hydroxylated naringenin (M7), glucuronide and sulfate conjugate of naringenin (M8), glucuronide conjugate of hydroxylated naringenin (M9) in rat plasma were detected. M3, M4, M6 were first reported as the metabolites of naringin. M7, M9 were first reported as the metabolites of naringenin.

CONCLUSIONThe results indicated that naringin, naringenin can be metabolited as the forms of glucuronidation, sulfation and naringenin can also be metabolited as the forms of methylation with hydroxylation and glucuronidation with hydroxylation in vivo after administration.

Animals ; Chromatography, High Pressure Liquid ; Citrus ; chemistry ; Drug Administration Routes ; Flavanones ; blood ; metabolism ; Male ; Mass Spectrometry ; Plant Extracts ; administration & dosage ; blood ; metabolism ; Random Allocation ; Rats ; Rats, Sprague-Dawley

OBJECTIVETo investigate the effect of body mass index (BMI) on new-onset non-alcoholic fatty liver disease (NAFLD) in patients with type 2 diabetes mellitus (T2DM).

METHODSSubjects with T2DM were recruited from the population of individuals attending the Affiliated General Hospital of North China University for routine health examination between 2006 and 2007 and offered participation in this community-based prospective cohort study. Enrollees were categorized into groups according to weight assessed by baseline BMI (underweight, normal, overweight, and obese groups). Cumulative incidence of NAFLD was compared between each group and the effect of baseline BMI on new-onset NAFLD was assessed by Cox regression analysis.

RESULTSThe cumulative incidence of NAFLD increased in conjunction with increases in weight (low weight: 69%, normal weight: 73%, overweight: 90%, obese: 97%; P<0.01). Subjects in the overweight and obese groups showed an increased risk of NAFLD (relative risk (RR)=2.00, 95% CI: 1.76-2.29 and =2.87, 95% CI: 2.42-3.40; P<0.01), compared to those in the normal weight group. Moreover, after adjustment for baseline factors (e.g.age, sex) risk of NAFLD remained higher for the overweight and obese subjects (RR=1.73, 95% CI: 1.49-2.00 and =2.12, 95% CI: 1.73-2.60; P<0.01).

CONCLUSIONRisk of NAFLD in T2DM patients increases in parallel to increase in weight assessed by BMI. BMI appeared to be an independent risk factor for NAFLD.

Body Mass Index ; China ; Cohort Studies ; Diabetes Mellitus, Type 2 ; Humans ; Incidence ; Non-alcoholic Fatty Liver Disease ; Obesity ; Prospective Studies ; Risk Factors

Artificial intelligence （AI） robots， as a dynamic force sweeping the world， have demonstrated remarkable influence in the field of medical education since their inception. They have continuously participated in medical education through online-assisted teaching of medical theory， interpretation of imaging materials， clinical skills practice， and other forms， bringing new opportunities and challenges for the development of medical education. Concurrent with transforming the field of education， AI technology has also given rise to a series of ethical issues due to the constraints of technological logic， such as algorithmic discrimination， technological dependence， data privacy breaches， emotional communication crises among teaching subjects， and blurred power boundaries. While drawing on Western ethical principles， it is crucial to maintain a sober awareness of local issues， pay attention to the realistic relationship between Confucian bioethics and medical education in China， emphasize the value-oriented function of benevolence principle in mitigating physical and mental risks， and guide students to become adults in “achieving success”； improve the institutional construction guided by the principle of the value of life， resist the risks of educational AI technology， and achieve technological goodness； build a harmonious human-machine relationship by adhering to the principle of human nature to prevent the development risks of educational AI.

Objective To investigate the effects of fasting serum triglycerides (TG) levels at different baseline on the risk of new-onset acute pancreatitis (AP) in in-service and retired employees of Kailuan Group.Methods A total of 125 178 in-service and retired employees of Kailuan Group who received health check-ups from 2006 to 2009 and had no AP history but had complete TG data were prospectively enrolled.According to quantile level,the baseline serum fasting TG level of study subjects were divided into ＜1.01 mmol/L group (n=42 128),1.01 to 1.64 mmol/L group (n=41 711) and ＞ 1.64 mmol/L group (n=41 339).The incidence of new-onset AP of these three groups was analyzed.The survival curve was plotted by Kaplan-Meier method.The cumulative incidence rate was calculated and tested by log-rank method.And multivariate Cox proportional hazards regression model was performed to calculate hazard ratios (HR) of baseline fasting serum TG level for AP.Results After followed up for (7.36±1.23) years,a total of 193 cases of AP occurred.The incidences of AP in ＜1.01 mmol/L group,1.01 to 1.64 mmol/L group and ＞ 1.64 mmol/L group were 1.43 events/10 000 person-years,2.37 events/10 000 person-years and 2.49 events/10 000 person-years,respectively.The cumulative incidence rates of AP in ＜1.01 mmol/L group,1.01 to 1.64 mmol/L group and ＞1.64 mmol/L group were 0.10％ (44/42 128),0.18％ (73/41 711) and 0.18％ (76/41 339),respectively,and the difference was statistically significant (x2 =9.998,P=0.007).The results of multivariate Cox proportional hazards regression model analysis indicated that the risk of AP increased in 1.01 to 1.64 mmol/L group and ＞ 1.64 mmol/L group compared with that of ＜1.01 mmol/L group,HR and 95％ confidence interval (CI) were 1.56 (1.07 to 2.29) and 1.57 (1.06 to 2.32),respectively.After excluded onset AP within one year,with a control group of ＜1.01 mmol/L group,the results of multivariate Cox proportional hazards regression model analysis indicated that the HR and 95％CI for AP of 1.01 to 1.64 mmol/L group and ＞ 1.64 mmol/L group were 1.70 (1.11 to 2.58) and 1.69 (1.10 to 2.60),respectively.Conclusion Baseline fasting serum TG levels over 1.01 mmol/L may increase the risk of AP.