ObjectiveTo study the effect of the herb pair Mori Folium-Ginseng Radix et Rhizoma （HMG） on glucose and lipid metabolism in the mouse model of type 2 diabetes mellitus and decipher the possible treatment mechanism. MethodsThe db/db mice were chosen as the mouse model of type 2 diabetes mellitus and then treated with HMG at low and high doses （1.56， 3.12 g∙kg^-1， respectively） or metformin （0.26 g∙kg^-1） by gavage for 6 weeks. The normal group and the model group were treated with double distilled water at the same time according to body weight. The 8-h fasting blood glucose and body weight were measured once a week. The oral glucose tolerance test （OGTT） was conducted at the 6th week of dosing. The mice were sacrificed after the end of dosing. Serum levels of lipids ［total cholesterol （TC）， triglycerides （TG）， high-density lipoprotein cholesterol （HDL）， and low-density lipoprotein cholesterol （LDL）］， liver function indicators ［aspartate aminotransferase （AST） and alanine aminotransferase （ALT）］， non-esterified fatty acids （NEFA）， glycosylated serum protein （GSP）， serum glucose （GLU）， fasting insulin （FINS）， and renal function indicators ［creatinine （Crea） and blood urea nitrogen （BUN）］ were measured by enzyme-linked immunosorbent assay. The protein levels of peroxidase proliferator-activating receptor gamma （PPARγ）， acetyl coenzyme A carboxylase （ACC）， and sterol regulatory element-binding protein-1 （SREBP-1） were determined by Western blot. The pathological changes in the liver and pancreas were examined. ResultsCompared with the normal group， the model group presented increased body weight， elevated levels of blood glucose， TG， TC， AST， ALT， GLU， NEFA， GSP， and HDL-C， up-regulated protein levels of ACC and SREBP-1， and down-regulated protein level of PPARγ （P<0.01）. Meanwhile， the model group presented a large amount of lipid droplets and steatosis in the liver， as well as karyopyknosis and lymphocyte infiltration in the pancreas. Compared with the model group， the high- and low-dose HMG groups showed decreased body weight， declined levels of blood glucose， TG， TC， AST， ALT， GLU， NEFA， and GSP， and elevate level of HDL-C （P<0.05， P<0.01）. Moreover， the two groups showcased reduced lipid droplets and steatosis in the liver， as well as enlarged islets with clear boundaries and alleviated lymphocyte infiltration and karyopyknosis. Western blot results showed that the high-dose herb pair group demonstrated down-regulated protein levels of ACC and SREBP-1 and up-regulated protein level of PPARγ （P<0.01）. ConclusionThe HMG can effectively improve the glucose and lipid metabolism in db/db mice by regulating the expression of PPARγ， SREBP-1， and ACC.

ObjectiveTo study the effect of the herb pair Mori Folium-Ginseng Radix et Rhizoma （HMG） on glucose and lipid metabolism in the mouse model of type 2 diabetes mellitus and decipher the possible treatment mechanism. MethodsThe db/db mice were chosen as the mouse model of type 2 diabetes mellitus and then treated with HMG at low and high doses （1.56， 3.12 g∙kg^-1， respectively） or metformin （0.26 g∙kg^-1） by gavage for 6 weeks. The normal group and the model group were treated with double distilled water at the same time according to body weight. The 8-h fasting blood glucose and body weight were measured once a week. The oral glucose tolerance test （OGTT） was conducted at the 6th week of dosing. The mice were sacrificed after the end of dosing. Serum levels of lipids ［total cholesterol （TC）， triglycerides （TG）， high-density lipoprotein cholesterol （HDL）， and low-density lipoprotein cholesterol （LDL）］， liver function indicators ［aspartate aminotransferase （AST） and alanine aminotransferase （ALT）］， non-esterified fatty acids （NEFA）， glycosylated serum protein （GSP）， serum glucose （GLU）， fasting insulin （FINS）， and renal function indicators ［creatinine （Crea） and blood urea nitrogen （BUN）］ were measured by enzyme-linked immunosorbent assay. The protein levels of peroxidase proliferator-activating receptor gamma （PPARγ）， acetyl coenzyme A carboxylase （ACC）， and sterol regulatory element-binding protein-1 （SREBP-1） were determined by Western blot. The pathological changes in the liver and pancreas were examined. ResultsCompared with the normal group， the model group presented increased body weight， elevated levels of blood glucose， TG， TC， AST， ALT， GLU， NEFA， GSP， and HDL-C， up-regulated protein levels of ACC and SREBP-1， and down-regulated protein level of PPARγ （P<0.01）. Meanwhile， the model group presented a large amount of lipid droplets and steatosis in the liver， as well as karyopyknosis and lymphocyte infiltration in the pancreas. Compared with the model group， the high- and low-dose HMG groups showed decreased body weight， declined levels of blood glucose， TG， TC， AST， ALT， GLU， NEFA， and GSP， and elevate level of HDL-C （P<0.05， P<0.01）. Moreover， the two groups showcased reduced lipid droplets and steatosis in the liver， as well as enlarged islets with clear boundaries and alleviated lymphocyte infiltration and karyopyknosis. Western blot results showed that the high-dose herb pair group demonstrated down-regulated protein levels of ACC and SREBP-1 and up-regulated protein level of PPARγ （P<0.01）. ConclusionThe HMG can effectively improve the glucose and lipid metabolism in db/db mice by regulating the expression of PPARγ， SREBP-1， and ACC.

OBJECTIVE: To develop and validate a nomogram model for predicting 30-day mortality among elderly patients with sepsis-associated liver dysfunction (SALD), to identify high-risk patients and improve prognosis. METHODS: A retrospective cohort study was conducted using data extracted from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database for elderly patients with SALD who were first admitted to the intensive care unit (ICU) of Beth Israel Deaconess Medical Center between 2008 and 2019, including basic characteristics, severity scores, underlying diseases, infection foci, 24-hour vital signs, initial laboratory indicators, 24-hour complications, and prognosis related indicators. Patients were randomly assigned to training group and validation group in a ratio of 7 : 3. The training group used the LASSO regression analysis, as well as multivariate Logistic regression analysis to screen for independent risk factors for 30-day mortality. A nomogram prediction model was constructed, and receiver operator characteristic curve (ROC curve), calibration curves, and decision curve analysis (DCA) were used to evaluate the model, and validate the model using the validation cohort. RESULTS: A total of 630 elderly patients with SLAD were included in the study, including 441 in the training group and 189 in the validation group. Oxford acute severity of illness score (OASIS) for training group [odds ratio (OR) = 1.060, 95% confidence interval (95%CI) was 1.034-1.086], 24-hour pulse oxygen saturation (SpO₂; OR = 0.876, 95%CI was 0.797-0.962), initial mean corpuscular volume (MCV; OR = 1.043, 95%CI was 1.009-1.077), initial red blood cell distribution width (RDW; OR = 1.237, 95%CI was 1.123-1.362), initial blood glucose (OR = 1.008, 95%CI was 1.004-1.013), and initial aspartate aminotransferase (AST; OR = 1.000, 95%CI was 1.000-1.001) were independent risk factors for 30-day mortality in patients (all P < 0.05). Based on the above variables, a nomogram model was constructed, and the ROC curve showed that the area under the curve (AUC) of the model in the training group was 0.757 (95%CI was 0.712-0.803), with a sensitivity of 65.05% and a specificity of 74.90%; the AUC of the model in the validation group was 0.712 (95%CI was 0.631-0.792), with a sensitivity of 58.67% and a specificity of 81.58%. The calibration curves of the training and validation groups show that both the fitted curves were close to the standard curves. The Hosmer-Lemeshow test: the training group (χ ² = 6.729, P = 0.566), the validation group (χ ² = 13.889, P = 0.085), indicating that the model can fit the observed data well. The DCA curve shows that when the threshold probability of the training group was 16% to 94% and the threshold probability of the validation group was 27% to 99%, the net benefit of the model was good. CONCLUSIONS OASIS, 24-hour SpO₂, initial MCV, initial RDW, initial blood glucose and initial AST are independent risk factors for 30-day mortality in elderly patients with SALD. The nomogram based on these six variables demonstrates good predictive performance.
Humans ; Sepsis/complications* ; Retrospective Studies ; Nomograms ; Aged ; Prognosis ; Risk Factors ; Liver Diseases/mortality* ; Intensive Care Units ; ROC Curve ; Male ; Female ; Logistic Models