Objective To construct a prediction model for the population with hypertension and diabetes to assess the risk of chronic kidney disease (CKD), and to provide a scientific basis for formulating targeted CKD prevention and control measures. Methods Based on physical examination data from community residents aged 60 years and above in Nanjing in 2022, 10 221 patients with hypertension and diabetes were selected as the study subjects. Variables associated with CKD prevalence were screened using univariate analysis, and further variable selection was performed using LASSO regression. Finally, a CKD risk prediction model was constructed based on logistic regression. The model's performance was evaluated using the ROC curve and calibration curve. Results The prevalence rate of CKD in the study population was 22.71%, with a mean age of 71.66 years. LASSO regression identified seven variables associated with CKD: age, blood urea nitrogen (BUN), hemoglobin, uric acid, triglyceride-glucose (TyG) index, urine protein-to-creatinine ratio (UPCR), and medical insurance type. The final logistic regression model incorporated six variables: age [OR=1.067 (95% CI: 1.058-1.076)], BUN [OR=1.377 (95% CI: 1.338-1.418)], hemoglobin [OR=0.992 (95% CI: 0.989-0.995)], uric acid [OR=1.004 (95% CI: 1.003-1.004)], TyG index [OR=1.445 (95% CI: 1.324-1.577)], and self-payment medical insurance [OR=1.732 (95% CI: 1.542-1.945)]. The model had an AUC of 0.759 (95% CI: 0.747-0.770) and a Brier score of 0.140 (95% CI: 0.136-0.145), indicating good predictive performance. The calibration curve showed good agreement between the predicted risk and the observed value. Conclusion The constructed LASSO-logistic regression risk prediction model in this study can effectively assess the risk of CKD in elderly individuals aged 60 years and above with hypertension and diabetes, providing a basis for early identification of high-risk individuals and the formulation of targeted CKD prevention and control measures.

Objective To analyze the clinical and imaging features of primary anorectal malignant melanoma (ARMM) and to improve the level of its early diagnosis and clinical management. Methods A retrospective analysis was performed on the clinical data, multimodal imaging features, treatment methods, pathological results, and follow-up information of 31 patients with pathologically diagnosed ARMM at Zhongshan Hospital, Fudan University from December 2016 to October 2025. Results Among the 31 patients, there were 11 males and 20 females, with age of 65 (55, 71) years. Twenty-one patients presented with hematochezia as the initial symptom (67.7%), and four asymptomatic patients were detected incidentally by physical examination. All the patients showed negative alpha-fetoprotein, carcinoembryonic antigen, and carbohydrate antigen 19-9. All 31 cases were solitary ARMM, of which 14 (45.2%) were located in the anorectal region. CT was characterized by polypoid or fungating masses, absence of intestinal obstruction, moderate to marked enhancement; MRI was characterized by specific T₁WI hyperintensity and restricted diffusion; PET/CT is characterized by high metabolism. According to Ballantyne staging, 10 cases of stage Ⅰ, 11 cases of stage Ⅱ and 10 cases of stage Ⅲ were found. Endoscopic resection was performed in 1 patient, transanal resection in 2 patients, and abdominoperineal resection (Miles operation) with routine lymph node dissection in 17 patients. The positive rates of S-100, HMB-45 and Melan-A in 20 surgical patients were 100%, 95% and 100%, respectively, with a median Ki-67 proliferation index of 65%. Median postoperative follow-up duration of surgical patients was 34.5 (2−90) months. During follow-up, 8 patients (40%) developed recurrence and/or metastasis (median time was 11 months after surgery), with the liver and lungs being the most common metastatic sites. Conclusions Primary ARMM predominantly occurs in middle-aged and elderly women, hematochezia is the most common initial symptom. Diagnostic efficacy can be improved by combining characteristic imaging manifestations and immunohistochemical findings. ARMM is a highly malignant tumor with an overall poor prognosis, surgery remains the main therapeutic approach.

Kidney stone disease (KSD) is a common urinary system disorder characterized by a complex composition of stones. Identifying the composition of kidney stones is of great significance for their treatment and prevention. With the application of artificial intelligence techniques such as machine learning and deep learning, efficient and accurate identification of the composition of kidney stones has been achieved, greatly improving the efficiency, accuracy, and preeminence of stone identification. It also provides new ideas and methods for the treatment of kidney stones. This article reviewed the literatures from three aspects: the clinical data of stone patients, medical images of stones, and direct visual images, combined with artificial intelligence. It has been found that most studies have achieved accurate predictions of the main components of stones, such as calcium stones or uric acid stones. However, due to limitations in the dataset and the complexity of stone compositions, there is still great potential in the identification and prediction of the composition of kidney stones using artificial intelligence.

Kidney stone disease (KSD) is a common urinary system disorder characterized by a complex composition of stones. Identifying the composition of kidney stones is of great significance for their treatment and prevention. With the application of artificial intelligence techniques such as machine learning and deep learning, efficient and accurate identification of the composition of kidney stones has been achieved, greatly improving the efficiency, accuracy, and preeminence of stone identification. It also provides new ideas and methods for the treatment of kidney stones. This article reviewed the literatures from three aspects: the clinical data of stone patients, medical images of stones, and direct visual images, combined with artificial intelligence. It has been found that most studies have achieved accurate predictions of the main components of stones, such as calcium stones or uric acid stones. However, due to limitations in the dataset and the complexity of stone compositions, there is still great potential in the identification and prediction of the composition of kidney stones using artificial intelligence.

Objective To explore the efficacy of two lipopolysaccharide(LPS)two-hit methods in establishing an acute lung injury(ALI)mouse model and analyze the characteristics of this model within the context of both Western and traditional Chinese medicine(TCM).Methods Healthy male C57BL/6 mice were randomly divided into six groups:PBS instillation control group,PBS nebulization control group,instillation two-hit group,nebulization two-hit group I,nebulization two-hit group Ⅱ,and nebulization two-hit group Ⅲ.Using LPS as a stimulant,a"two-hit"approach was employed to establish an ALI mouse model.Body temperature,weight,pulse oximetric oxygen saturation(SpO2),lung tissue wet-to-dry weight ratio(W/D),levels of tumor necrosis factor(TNF-α),interleukin-1β(IL-1β),and myeloperoxidase(MPO)activity in lung tissue,as well as total protein concentration and white blood cell count in bronchoalveolar lavage fluid were measured.Through evaluating the consistency between TCM and Western medical syndromes,the classification,characteristics,modeling methods,advantages,and disadvantages of the two-hit ALI animal model were summarized and analyzed based on the clinical diagnostic criteria and syndrome characteristics of ALI in both TCM and Western medicine.Results Compared with the control group,the body temperature,weight,and SpO2 of model group decreased,W/D increased,levels of TNF-α,IL-1β,and MPO activity in lung tissue increased.The alveolar walls thickened with a large exudate of red blood cells.The total protein concentration and white blood cell count in bronchoalveolar lavage fluid significantly increased.The existing two-hit ALI animal model showed a high degree of consistency with Western medical diagnostic main symptoms.Conclusion Both methods of two-hit can prepare mouse ALI models,among which the nebulization two-hit Group Ⅲ showed more pronounced effects in simulating the pathological changes and clinical symptoms of ALI.

Digital technologies have become an integral part of complete denture restoration. With advancement in computer-aided design and computer-aided manufacturing (CAD/CAM), tools such as intraoral scanning, facial scanning, 3D printing, and numerical control machining are reshaping the workflow of complete denture restoration. Unlike conventional methods that rely heavily on clinical experience and manual techniques, digital technologies offer greater precision, predictability, and efficacy. They also streamline the process by reducing the number of patient visits and improving overall comfort. Despite these improvements, the clinical application of digital complete denture restoration still faces challenges that require further standardization. The major issues include appropriate case selection, establishing consistent digital workflows, and evaluating long-term outcomes. To address these challenges and provide clinical guidance for practitioners, this expert consensus outlines the principles, advantages, and limitations of digital complete denture technology. The aim of this review was to offer practical recommendations on indications, clinical procedures and precautions, evaluation metrics, and outcome assessment to support digital restoration of complete denture in clinical practice.
Humans ; Denture, Complete ; Computer-Aided Design ; Denture Design/methods* ; Consensus ; Printing, Three-Dimensional

BACKGROUND:Acute exercise tends to cause skeletal muscle tissue damage and lipid metabolism disorders in vivo,but the mechanism by which acute exercise combined with electroacupuncture modulates metabolic and autophagic pathways in vivo is unclear. OBJECTIVE:To observe the changes in metabolic enzymes and autophagy levels in skeletal muscle of rats subjected to acute exercise by electroacupuncture at the acupoints of"Zusanli"and"Huantiao." METHODS:Fifty male Sprague-Dawley rats were randomly divided into three groups:quiet control group(n=10),model group(n=20),and reverse electroacupuncture group(n=20).The latter two groups were set up with two time points,i.e.immediate and 3 hours after exercise groups(n=10 per time point).The model group and the reverse electroacupuncture group underwent acute exercise training after adaptive treadmill training.The rats in the reverse electroacupuncture group underwent electroacupuncture treatment(parameters:electroacupuncture on both sides of the rats at the acupoints of"Zusanli"and"Huantiao,"continuous wave,frequency of 2 Hz,intensity of 2 mA,leaving the needle in the body for 30 minutes,once a day for 7 consecutive days)before treadmill training.Bilateral gastrocnemius muscle tissues were taken under anesthesia immediately after exercise and 3 hours after exercise,and hematoxylin-eosin staining was used to observe the histopathological changes of rat skeletal muscle.ELISA kit was used to detect the activities of hepatic lipase,fatty acid synthase,hormone-sensitive lipase,and carnitine palmitoyltransferase 1 in rat skeletal muscle tissues.Immunohistochemistry and western blot were used to detect the changes in the expression of autophagy genes. RESULTS AND CONCLUSION:After hematoxylin-eosin staining,the arrangement of gastrocnemius muscle fibers in the model group was disturbed,swollen and ruptured immediately after exercise and 3 hours after exercise.In the reverse electroacupuncture group,gastrocnemius muscle fibers were tightly arranged and the number of swollen and ruptured cells was greatly reduced immediately after exercise and 3 hours after exercise,and there was no significant difference when compared with the quiet control group.Compared with the quiet control group,the activities of hepatic lipase and fatty acid synthase were lower while the activities of lipoprotein lipase,hormone-sensitive lipase,and carnitine palmitoyltransferase 1 were higher in the model group and the reverse electroacupuncture group 3 hours after exercise(P＜0.05 or P＜0.01).Compared with the model group,the activities of lipoprotein lipase and carnitine palmitoyltransferase 1 were higher in the reverse electroacupuncture group immediately after exercise(P＜0.05),while the activity of lipoprotein lipase was higher and the activity of hormone-sensitive lipase was lower in the reverse electroacupuncture group 3 hours after exercise(P＜0.01).Immunohistochemical results showed that compared with the quiet control group,the expression of P62,autophagy-related gene 5 and autophagy-related gene 7 was higher in the model group immediately and 3 hours after exercise,as well as in the reverse electroacupuncture group immediately after exercise(P＜0.05 or P＜0.01);compared with the model group,the expression of P62 and autophagy-related gene 7 was lower in the reverse electroacupuncture group immediately and 3 hours after exercise(P＜0.05).Western blot results showed that the protein expression of P62 and autophagy-related gene 7 in the reverse electroacupuncture group was lower than that in the model group immediately after exercise(P＜0.05);the protein expression of Parkin in the model group was higher than that in the quiet control group immediately and 3 hours after exercise(P＜0.05);and the protein expression of Parkin in the reverse electroacupuncture group was lower than that in the model group immediately and 3 hours after exercise(P＜0.05).To conclude,acute exercise induces disorders,swelling and rupture of gastrocnemius muscle fibers in rats and electroacupuncture on both sides of the acupoints of"Zusanli"and"Huantiao"can improve the level of lipid metabolism and regulate autophagy cells in rat skeletal muscle,preventing the disorders of lipid metabolism and damage of gastrocnemius muscle tissues caused by acute exercise.The mechanism may be closely related to the regulation of autophagy-related factor P62,autophagy-related gene 5,autophagy-related gene 7,and Parkin protein expression to promote the occurrence of autophagy or regulate the autophagy pathway in rat skeletal muscle cells.

Objective To explore the efficacy of two lipopolysaccharide(LPS)two-hit methods in establishing an acute lung injury(ALI)mouse model and analyze the characteristics of this model within the context of both Western and traditional Chinese medicine(TCM).Methods Healthy male C57BL/6 mice were randomly divided into six groups:PBS instillation control group,PBS nebulization control group,instillation two-hit group,nebulization two-hit group I,nebulization two-hit group Ⅱ,and nebulization two-hit group Ⅲ.Using LPS as a stimulant,a"two-hit"approach was employed to establish an ALI mouse model.Body temperature,weight,pulse oximetric oxygen saturation(SpO2),lung tissue wet-to-dry weight ratio(W/D),levels of tumor necrosis factor(TNF-α),interleukin-1β(IL-1β),and myeloperoxidase(MPO)activity in lung tissue,as well as total protein concentration and white blood cell count in bronchoalveolar lavage fluid were measured.Through evaluating the consistency between TCM and Western medical syndromes,the classification,characteristics,modeling methods,advantages,and disadvantages of the two-hit ALI animal model were summarized and analyzed based on the clinical diagnostic criteria and syndrome characteristics of ALI in both TCM and Western medicine.Results Compared with the control group,the body temperature,weight,and SpO2 of model group decreased,W/D increased,levels of TNF-α,IL-1β,and MPO activity in lung tissue increased.The alveolar walls thickened with a large exudate of red blood cells.The total protein concentration and white blood cell count in bronchoalveolar lavage fluid significantly increased.The existing two-hit ALI animal model showed a high degree of consistency with Western medical diagnostic main symptoms.Conclusion Both methods of two-hit can prepare mouse ALI models,among which the nebulization two-hit Group Ⅲ showed more pronounced effects in simulating the pathological changes and clinical symptoms of ALI.

Gag-Pol protein is one of the important structural proteins of human immunodeficiency virus(HIV),comprising the basic scaffold proteins and functional enzymes required during the lifecycle of HIV.Currently,the inhibitors targeting different functional domains on Gag-Pol include capsid(CA)inhibitors,protease inhibitors,reverse transcriptase inhibitors,and integrase inhibitors.The CA inhibitors inhibit the maturation of CA or disrupt the assembly of CA,so as to affect the replication of HIV.The primary mechanism of protease inhibitors is to inhibit the protease from cleaving at the cleavage site CA-spacer peptide 1(SP1).The reverse transcriptase inhibitors block the reverse transcription process of HIV by mimicking the reverse transcription substrates.The integrase inhibitors impact the activity of integrase by targeting the zinc-finger structure at the active center of integrase.This article summarizes the inhibitors targeting HIV Gag-Pol protein and their mechanisms,and reviews the approved dosages and usages of approved patent drugs,so as to provide the references for the future clinical combination therapies and the development of new inhibitors targeting HIV Gag-Pol protein.

Intracerebral hemorrhage(ICH)is a nervous system disease that seriously endangers human health,with a very high rate of disability and fatality.Most survivors will leave behind varying degrees of neu-rological dysfunction.Therefore,early assessment of neurological function in the patients with cerebral hemor-rhage has an important clinical significance.Diffusion tensor imaging(DTI)is a nuclear magnetic resonance technique to noninvasively reconstruct the structure and path of nerve fiber bundles in vivo,which can be used to the condition evaluation and prognosis judgment after ICH,and has an important clinical significance for the evaluation of neurological dysfunction.This paper reviews the related value of DTI in the prognosis evaluation of the patients with ICH.