Diabetic cardiomyopathy （DCM） is a common chronic complication of diabetes， categorized as consumptive thirst in traditional Chinese medicine （TCM）， and it subsequently gives rise to chest impediment. DCM is characterized by a complex pathogenesis and exhibits long-term progression with poor prognosis in clinical practice. Astragali Radix， as a medicinal material with edible value， possesses diverse active components including saponins， polysaccharides， and flavonoids. It has the effects of tonifying Qi， elevating Yang， promoting fluid production， nourishing blood， expressing toxin， and expelling pus. Modern pharmacological studies have confirmed that Astragali Radix and its active components exert therapeutic effects in various aspects such as inhibition of inflammation， alleviation of stress injury， regulation of programmed cell death， modulation of glucose and lipid metabolism， inhibition of myocardial fibrosis， and regulation of gut microbiota and metabolites， treating DCM in a multi-component， multi-target， and multi-pathway manner. The compatibility of Astragali Radix exerts both synergistic and antagonistic effects. The compound preparations and extracts of Astragali Radix are widely used in clinical practice， and the development of novel nano and gel materials and extracellular vesicles helps to improve the oral bioavailability， providing more possibilities for the clinical application of Astragali Radix in DCM， though its potential for clinical translation requires ongoing exploration. This review summarizes the TCM theoretical basis of Astragali Radix in the treatment of DCM， and integrates modern pharmacological research results to delve into the effects and mechanisms of the herb combinations， compound preparations， extracts， and new composite materials of Astragali Radix in the treatment of DCM， aiming to provide a reference for in-depth research and new drug development of Astragali Radix for DCM.

ObjectiveTo investigate the therapeutic effect of paeoniflorin on metabolic dysfunction-associated fatty liver disease （MASLD） combined with insulin resistance （IR）， and to elucidate its regulatory mechanisms on the Toll-like receptor 4 （TLR4）/nuclear transcription factor （NF）-κB-insulin receptor substrate 1 （IRS1） inflammation-insulin signaling axis. MethodsMASLD mouse model was established using a 60% high-fat diet. Mice were randomly assigned to a normal control group， a MASLD model group， and paeoniflorin groups （low dose： 25 mg·kg^-1·d^-1， medium dose： 50 mg·kg^-1·d^-1， high dose： 100 mg·kg^-1·d^-1）， receiving intragastric administration for consecutive 12 weeks. Concurrently， a palmitic acid/oleic acid （PA/OA）-induced lipid deposition model was established in HepG2 cells. Cell counting kit-8 （CCK-8） assay was performed to determine the optimal concentrations of PA/OA and paeoniflorin for intervention. Mice body weight， liver index， and serum levels of alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， triglycerides （TG）， and total cholesterol （TC） were measured. Fasting blood glucose （FBG） and fasting insulin （FINS） levels were measured， and the homeostatic model assessment of insulin resistance （HOMA-IR） was calculated， while an oral glucose tolerance test （OGTT） was performed to evaluate glucose metabolism. Hematoxylin and eosin （HE） staining was used to observe pathological changes and inflammatory cell infiltration in liver tissue， and oil red O staining was used to evaluate lipid droplet deposition in liver tissue and HepG2 cells. Potential targets were screened using network pharmacology and molecular docking. Western blot analysis was performed to detect the expression of HSP90AA1， TLR4， p-NF-κB p65， p-IRS1， and p-Akt proteins in liver tissue and HepG2 cells. ResultsCompared with the normal control group， mice in the MASLD model group exhibited significantly increased body weight， liver index， and serum levels of ALT， AST， TG， and TC， as well as markedly elevated FBG， FINS， and HOMA-IR， and impaired glucose tolerance （P<0.01）. HE staining revealed marked hepatic steatosis and inflammatory cell infiltration， while oil red O staining showed a significant increase in lipid droplet deposition. Compared with the MASLD model group， after intervention with various doses of paeoniflorin， the increase in body weight and liver index was reduced， serum ALT， AST， TG， and TC levels decreased， and FBG， FINS， and HOMA-IR were significantly lowered， with glucose tolerance markedly improved （P<0.05， P<0.01）， showing a certain dose-dependent trend. HE and oil red O staining results showed a marked reduction in hepatic steatosis and lipid deposition. In vitro experiments demonstrated that， compared with the control group， PA/OA treatment significantly induced increased lipid deposition in HepG2 cells. Compared with the model group， paeoniflorin intervention significantly reduced intracellular lipid droplets， and lipid deposition showed a dose-dependent decreasing trend. Mechanism studies indicated that， compared with the normal control group， the MASLD model group exhibited significantly elevated expression of TLR4， HSP90AA1， and p-NF-κB p65， while p-IRS1 （Ser307） expression was elevated and p-Akt （Ser473） expression was reduced （P<0.01）. Compared with the model group， the expression of the aforementioned proteins was significantly reversed in all treatment groups following intervention （P<0.05， P<0.01）. ConclusionPaeoniflorin significantly alleviates lipid deposition and insulin resistance in MASLD mice. Its mechanism of action may involve targeting HSP90AA1， TLR4， and NF-κB1 to regulate the TLR4/NF-κB-IRS1 inflammation-insulin signaling axis. This regulation suppresses inflammatory responses and restores insulin signaling， thereby ameliorating abnormalities in glucose and lipid metabolism.

ObjectiveTo investigate the therapeutic effect of paeoniflorin on metabolic dysfunction-associated fatty liver disease （MASLD） combined with insulin resistance （IR）， and to elucidate its regulatory mechanisms on the Toll-like receptor 4 （TLR4）/nuclear transcription factor （NF）-κB-insulin receptor substrate 1 （IRS1） inflammation-insulin signaling axis. MethodsMASLD mouse model was established using a 60% high-fat diet. Mice were randomly assigned to a normal control group， a MASLD model group， and paeoniflorin groups （low dose： 25 mg·kg^-1·d^-1， medium dose： 50 mg·kg^-1·d^-1， high dose： 100 mg·kg^-1·d^-1）， receiving intragastric administration for consecutive 12 weeks. Concurrently， a palmitic acid/oleic acid （PA/OA）-induced lipid deposition model was established in HepG2 cells. Cell counting kit-8 （CCK-8） assay was performed to determine the optimal concentrations of PA/OA and paeoniflorin for intervention. Mice body weight， liver index， and serum levels of alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， triglycerides （TG）， and total cholesterol （TC） were measured. Fasting blood glucose （FBG） and fasting insulin （FINS） levels were measured， and the homeostatic model assessment of insulin resistance （HOMA-IR） was calculated， while an oral glucose tolerance test （OGTT） was performed to evaluate glucose metabolism. Hematoxylin and eosin （HE） staining was used to observe pathological changes and inflammatory cell infiltration in liver tissue， and oil red O staining was used to evaluate lipid droplet deposition in liver tissue and HepG2 cells. Potential targets were screened using network pharmacology and molecular docking. Western blot analysis was performed to detect the expression of HSP90AA1， TLR4， p-NF-κB p65， p-IRS1， and p-Akt proteins in liver tissue and HepG2 cells. ResultsCompared with the normal control group， mice in the MASLD model group exhibited significantly increased body weight， liver index， and serum levels of ALT， AST， TG， and TC， as well as markedly elevated FBG， FINS， and HOMA-IR， and impaired glucose tolerance （P<0.01）. HE staining revealed marked hepatic steatosis and inflammatory cell infiltration， while oil red O staining showed a significant increase in lipid droplet deposition. Compared with the MASLD model group， after intervention with various doses of paeoniflorin， the increase in body weight and liver index was reduced， serum ALT， AST， TG， and TC levels decreased， and FBG， FINS， and HOMA-IR were significantly lowered， with glucose tolerance markedly improved （P<0.05， P<0.01）， showing a certain dose-dependent trend. HE and oil red O staining results showed a marked reduction in hepatic steatosis and lipid deposition. In vitro experiments demonstrated that， compared with the control group， PA/OA treatment significantly induced increased lipid deposition in HepG2 cells. Compared with the model group， paeoniflorin intervention significantly reduced intracellular lipid droplets， and lipid deposition showed a dose-dependent decreasing trend. Mechanism studies indicated that， compared with the normal control group， the MASLD model group exhibited significantly elevated expression of TLR4， HSP90AA1， and p-NF-κB p65， while p-IRS1 （Ser307） expression was elevated and p-Akt （Ser473） expression was reduced （P<0.01）. Compared with the model group， the expression of the aforementioned proteins was significantly reversed in all treatment groups following intervention （P<0.05， P<0.01）. ConclusionPaeoniflorin significantly alleviates lipid deposition and insulin resistance in MASLD mice. Its mechanism of action may involve targeting HSP90AA1， TLR4， and NF-κB1 to regulate the TLR4/NF-κB-IRS1 inflammation-insulin signaling axis. This regulation suppresses inflammatory responses and restores insulin signaling， thereby ameliorating abnormalities in glucose and lipid metabolism.

Objective·To construct and validate a nomogram for distinguishing primary Sj?gren's syndrome(PSS)from immunoglobulin G4-related sialadenitis(IgG4-RS)based on ultrasound scoring parameters and clinical indicators.Methods·A total of 141 patients with PSS and 31 patients with IgG4-RS were retrospectively recruited from Shanghai Ninth People's Hospital,Shanghai Jiao Tong University School of Medicine from January 2018 to December 2023.The ultrasound scoring parameters,including parotid gland ultrasound(PGUS)score,submandibular gland ultrasound(SMGUS)score,and salivary gland ultrasound(SGUS)score,along with clinical indicators such as gender,age,anti-SSB/La antibody,anti-SSA/Ro60 antibody,anti-SSA/Ro52 antibody,IgG,and rheumatoid factor(RF),were collected.The optimal US scoring parameters and clinical indicators were screened by least absolute shrinkage and selection operator(LASSO)regression,and a nomogram model was constructed to distinguish PSS from IgG4-RS.The internal validation of the model was carried out through bootstrap method.Receiver operator characteristic(ROC)curve,calibration curve and decision curve analysis(DCA)were used to estimate the discrimination,calibration,and clinical utility of the nomogram model,respectively.Results·LASSO regression identified six major variables:gender,age,anti-SSA/Ro60 antibody,anti-SSA/Ro52 antibody,PGUS score,and SMGUS score.These variables were used to construct the nomogram.ROC curve of the nomogram showed that the area under the curve(AUC)was 0.976,indicating the nomogram had strong discrimination ability.The bootstrap method was used for internal validation with 1 000 resampling iterations,and the average absolute error was 0.018.Calibration curve demonstrated good agreement between predicted and observed values.DCA indicated that the nomogram had certain clinical utility.Conclusion·The nomogram based on ultrasound scoring parameters and clinical indicators demonstrates excellent discrimination and calibration in differentiating PSS from IgG4-RS.It has the potential to assist in clinical diagnosis and decision-making.

Objective·To construct and validate a nomogram for distinguishing primary Sj?gren's syndrome(PSS)from immunoglobulin G4-related sialadenitis(IgG4-RS)based on ultrasound scoring parameters and clinical indicators.Methods·A total of 141 patients with PSS and 31 patients with IgG4-RS were retrospectively recruited from Shanghai Ninth People's Hospital,Shanghai Jiao Tong University School of Medicine from January 2018 to December 2023.The ultrasound scoring parameters,including parotid gland ultrasound(PGUS)score,submandibular gland ultrasound(SMGUS)score,and salivary gland ultrasound(SGUS)score,along with clinical indicators such as gender,age,anti-SSB/La antibody,anti-SSA/Ro60 antibody,anti-SSA/Ro52 antibody,IgG,and rheumatoid factor(RF),were collected.The optimal US scoring parameters and clinical indicators were screened by least absolute shrinkage and selection operator(LASSO)regression,and a nomogram model was constructed to distinguish PSS from IgG4-RS.The internal validation of the model was carried out through bootstrap method.Receiver operator characteristic(ROC)curve,calibration curve and decision curve analysis(DCA)were used to estimate the discrimination,calibration,and clinical utility of the nomogram model,respectively.Results·LASSO regression identified six major variables:gender,age,anti-SSA/Ro60 antibody,anti-SSA/Ro52 antibody,PGUS score,and SMGUS score.These variables were used to construct the nomogram.ROC curve of the nomogram showed that the area under the curve(AUC)was 0.976,indicating the nomogram had strong discrimination ability.The bootstrap method was used for internal validation with 1 000 resampling iterations,and the average absolute error was 0.018.Calibration curve demonstrated good agreement between predicted and observed values.DCA indicated that the nomogram had certain clinical utility.Conclusion·The nomogram based on ultrasound scoring parameters and clinical indicators demonstrates excellent discrimination and calibration in differentiating PSS from IgG4-RS.It has the potential to assist in clinical diagnosis and decision-making.