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 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.

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.

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.

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

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.

ObjectiveBased on the quality evaluation experience of "it is better to have a fragrant and strong aroma" summarized by materia medica of past dynasties， the chemical components of Sojae Semen Nigrum（SSN） and Sojae Semen Praeparatum（SSP） were systematically compared and analyzed， and the main fermentation products in different fermentation time were quantitatively analyzed， so as to clarify the transformation law of internal components in the processing process and provide scientific basis for the modern quality control of SSP. MethodUltra performance liquid chromatography-quadrupole tandem time-of-flight mass spectrometry（UPLC-Q-TOF-MS） was used for the structural identification of the chemical constituents of SSN and SSP， and with the aid of Progenesis QI v2.3 software， the negative ion mode was employed for principal component analysis（PCA） pattern recognition， and the data were analyzed with the aid of orthogonal partial least squares-discriminant analysis（OPLS-DA） for two-dimensional data to obtain S-plot， and components with |P|>0.1 were selected as the differential constituents. The contents of isoflavonoids in SSP during fermentation was determined by UPLC， and the samples were taken every 8 h in the pre-fermentation period and every 2 d in the post-fermentation period， and the dynamic changes of isoflavonoid contents in different fermentation stages were analyzed. The contents of amino acids and nucleosides in SSP and SSN from different fermentation stages were quantitatively analyzed by phenyl isothiocyanate（PITC） pre-column derivatization and high performance liquid chromatography（HPLC） gradient elution， and the contribution of flavor substances to the "delicious" taste of SSP was discussed by taste intensity value（TAV）. ResultA total of 19 kinds of differential components were screened out， mainly soybean saponins and isoflavones， and their contents decreased significantly or even disappeared after fermentation. In the pre-fermentation process of SSP， glycoside bond hydrolysis mainly occurred， and isoflavone glycosides in SSN were degraded and converted into the corresponding aglycones， the content of flavor substances such as amino acids increased gradually. In the post-fermentation process， protein degradation mainly occurred， after 8 d of post-fermentation， the content of isoflavones was basically stable， while the total content of amino acids increased by 8-40 times on average. Different amino acids form the special flavor of SSP， such as the TAV of glutamate is always ahead of other flavor substances， and sweet substances such as alanine and valine have made relatively great contributions to SSP. ConclusionBased on the law of constituent transformation， combined with the traditional evaluation index of "fragrant and strong"， it is difficult to control the fermentation degree of SSP by the existing standards in the 2020 edition of Chinese Pharmacopoeia. It is suggested that description of the characteristics of SSP be refined and changed to "fragrant， delicious and slightly sweet"， and at the same time， the post-fermentation index compounds such as glutamic acid， alanine and valine should be added as the quality control indicators of SSP， so as to standardize the production process and improve the quality of SSP.

Objective To investigate the effect of tiopronin on renal function during anti-tuberculosis liver protection therapy.Methods Clinical data of patients with initially treated sensitive tuberculosis treated in our hos-pital from September 2019 to September 2022 and whose anti-tuberculosis regimen was only isoniazid,rifampicin,pyrazinamide and ethambutol were retrospectively analyzed.The patients were divided into study group and control group according to whether tiopronin was used.The baseline data,blood creatinine(Scr),blood urea nitrogen(BUN),urine protein,creatinine clearance,drug combination and related adverse reactions of the two groups were compared.Results Patients obtained based on inclusion and exclusion criteria were divided into a study group(n=102)(antitubercular drugs+tiopronin)and a control group(n=105)(antitubercular drugs+glutathione).There were no statistically significant differences(P＞0.05)in ALT,AST,DBIL,and TBIL levels between the two groups before treatment,at Middle and late treatment.At the later stage of treatment,serum Scr,BUN,creatinine clearance and urinary protein showed statistical differences between the study group and the control group(P＜0.05).The abnormal rate of indicators and the incidence of adverse reactions in the study group were higher than those in the control group at the later stage of treatment(P＜0.05).Conclusion For patients undergoing tuberculosis treatment,the efficacy of tiopronin and glutathione in protecting the liver is comparable.However,in terms of renal function,long-term use of tiopronin is associated with more pronounced damage.Due to the relatively low cost of tiopronin,for families with heavy economic burdens,short-term use of the drug can ensure safety,while long-term use requires close monitoring of renal function changes and timely adjustments to medication.

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.