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.

ObjectiveTo investigate and analyze an outbreak of rotavirus infectious diarrhea in a prison in Chongqing Municipality, to provide a basis for adult rotavirus surveillance and prevention, and to explore the public health problems in special settings. MethodsA retrospective survey was conducted to collect and analyze data on individual cases with diarrheal disease on-site. The clinical characteristics, as well as the temporal, spatial and geographical distribution patterns of the epidemic were described. Multi-pathogen detection tests were conducted both on diarrhea cases and environmental samples, with viral genotyping performed on positive samples. A case-control analysis was performed to identify the causes of the outbreak, and an SEIR model was adopted to predict the outbreak trend and evaluate the effectiveness of interventions. ResultsA total of 65 cases were found among the inmates, with an attack rate of 2.03%. The predominant clinical manifestations included diarrhea (89.23%), watery stool (73.85%), and dehydration (18.46%). The epidemic curve indicated a “human-to-human” transmission pattern, with an average incubation period of 5‒6 days. The attack rates among chefs in the main canteen (80.00%, 8/10) and caterers (28.33%, 17/60) were significantly higher than those of other inmates （P<0.05）. Multi-pathogen polymerase chain reaction (PCR) testing detected positive for group A rotavirus, with the viral genotyping identified as G9P [8] strain. Factors such as unprotected "bare-handed" food distribution among cases with diarrhea (OR=9.512, 95%CI: 4.261‒21.234) and close contact with diarrhea cases (OR=3.656, 95%CI: 1.719‒7.778) were the possible cause of the outbreak. The SEIR model (r₀=5, α=0.3, β₁=0.08, β₂=0.04) was constructed using prison inmates as susceptible population, aiming at fitting the initial transmission trend of the outbreak, and the epidemic rate declined rapidly after intervention measures were implemented (r_t≈0). ConclusionThis rare rotavirus infection diarrhea outbreak among adults in confined settings suggests that the construction of public health prevention and control systems in prison may be overlooked. Cross infection during meal processing and distribution in the canteens of such settings is likely to be the cause of the outbreak. Given the potential neglect of public heath system construction in special settings, it is imperative to enhance the surveillance and monitoring of rotavirus and other intestinal multi-pathogens among adults, as well as the construction of public health prevention and control systems in these special settings.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

As new evidence emerges, treatment strategies toward the functional cure of chronic hepatitis B are evolving. In 2019, a panel of national hepatologists published a Consensus Statement on the functional cure of chronic hepatitis B. Currently, an international group of hepatologists has been assembled to evaluate research since the publication of the original consensus, and to collaboratively develop the updated statements. The 2.0 Consensus was aimed to update the original consensus with the latest available studies, and provide a comprehensive overview of the current relevant scientific literatures regarding functional cure of hepatitis B, with a particular focus on issues that are not yet fully clarified. These cover the definition of functional cure of hepatitis B, its mechanisms and barriers, the effective strategies and treatment roadmap to achieve this endpoint, in particular new surrogate biomarkers used to measure efficacy or to predict response, and the appropriate approach to pursuing a functional cure in special populations, the development of emerging antivirals and immunomodulators with potential for curing hepatitis B. The statements are primarily intended to offer international guidance for clinicians in their practice to enhance the functional cure rate of chronic hepatitis B.

As new evidence emerges, treatment strategies toward the functional cure of chronic hepatitis B are evolving. In 2019, a panel of national hepatologists published a Consensus Statement on the functional cure of chronic hepatitis B. Currently, an international group of hepatologists has been assembled to evaluate research since the publication of the original consensus, and to collaboratively develop the updated statements. The 2.0 Consensus was aimed to update the original consensus with the latest available studies, and provide a comprehensive overview of the current relevant scientific literatures regarding functional cure of hepatitis B, with a particular focus on issues that are not yet fully clarified. These cover the definition of functional cure of hepatitis B, its mechanisms and barriers, the effective strategies and treatment roadmap to achieve this endpoint, in particular new surrogate biomarkers used to measure efficacy or to predict response, and the appropriate approach to pursuing a functional cure in special populations, the development of emerging antivirals and immunomodulators with potential for curing hepatitis B. The statements are primarily intended to offer international guidance for clinicians in their practice to enhance the functional cure rate of chronic hepatitis B.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

The accumulation of uremic toxins such as urea nitrogen, blood creatinine, and uric acid of patients with renal failure in vivo would lead to aggravated kidney damage. In this study, coated aldehyde oxy-starch (CAO) was used as an adsorbent to investigate its in vitro adsorption performance on renal failure indexes for urea, indoxyl sulfate (INS), monomethylamine (MMA), dimethylamine (DMA), uric acid (UA), and creatinine (Cr). The effects of variables such as pH, temperature, concentration, dosage, and time on the adsorption capacity of CAO were systematically investigated, employing analytical techniques of high-performance liquid chromatography (HPLC) and gas chromatography (GC). The results revealed that CAO exhibited a strong adsorption capacity for urea, INS, and MMA, alongside a moderate adsorption capacity for DMA, UA, and Cr. The adsorption kinetics and thermodynamic studies indicated that the adsorption of urea and UA by CAO were fitted in pseudo-first-order kinetics, and the adsorption isotherm aligned with the Freundlich adsorption model. The enthalpy change ΔH of urea in adsorption was in the range of 40 to 60 kJ·mol^-1, which demonstrated the presence of strong adsorption force due to the interactions of coordinating groups. The ΔH of UA was greater than 80 kJ·mol^-1, indicating the generation of chemical bonds during the adsorption. Both of them, Gibbs free energy ΔG was less than 0, within the range of -20 to 0 kJ·mol^-1, suggested that the adsorption of urea and UA by CAO occurred spontaneously as physical adsorption process. The adsorption entropy ΔS of urea and UA was > 0, which indicated an increase in entropy throughout the adsorption. The infrared spectroscopygram showed the formation of a chemical bond, specifically the imine bond, following the adsorption of urea by CAO, thereby indicating a chemical reaction during the adsorption. This study elucidates the adsorption mechanism of CAO on various indexes of renal failure, providing a scientific basis for its clinical usage.

Objective To investigate and analyze the resources and application frequency of radiological diagnosis and treatment in Jinan City in 2023 and provide a basis for the rational application of radiological diagnosis and treatment resources and strengthening radiological health protection management. Methods The health administrative department issued a work plan. A general survey was conducted on radiological diagnosis and treatment institutions (excluding dental clinics) in Jinan City using a questionnaire. The survey covered the basic information of the radiological diagnosis and treatment institutions, the distribution of the radiological diagnosis and treatment equipment, the number of radiological workers, and the frequency of radiological diagnosis and treatment. Results There were 301 radiological diagnosis and treatment institutions in Jinan City, with 1603 sets of radiological diagnosis and treatment equipment and 5789 radiological workers. These institutions included 41 (13.62%) tertiary hospitals, 57 (18.94%) secondary hospitals, 110 (36.54%) primary hospitals, and 93 (30.90%) ungraded hospitals. Tertiary hospitals had the highest proportions of radiological diagnosis and treatment equipment and workers, accounting for 49.53% and 69.10% of the total, respectively. The frequencies of radiological diagnosis and treatment were 868.86 X-ray diagnostic imaging examinations per 1000 population, 5.07 radiotherapies per 1000 population, 14.19 interventional diagnostic and therapeutic procedures per 1000 population, 7.36 nuclear medical diagnostic procedures per 1000 population, and 0.56 nuclear medical therapeutic procedures per 1000 population. The frequency of CT diagnosis was the highest, reaching 407.76 procedures per 1000 population. Conclusion The radiological diagnosis and treatment resources and activities in Jinan City were mainly concentrated in tertiary hospitals, with unbalanced distribution among hospitals of different grades. It is necessary to apply various medical radiations correctly and reasonably and strengthen radiation protection to reduce the frequency of radiation and the collective effective dose.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.