1.Mechanism of Paeoniflorin Regulating TLR4/NF-κB-IRS1 Inflammation-insulin Signaling Axis to Improve Metabolic Dysfunction Associated Fatty Liver Disease Combined with Insulin Resistance
Luyu LI ; Yiming FAN ; Wenlong YU ; Yiteng ZHANG ; Yaorui HU ; Huanxin DING ; Chuxuan LIU ; Xin JIN ; Hongyu ZHANG ; Qian XU ; Guangyong ZHANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(21):146-156
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.
2.Mechanism of Paeoniflorin Regulating TLR4/NF-κB-IRS1 Inflammation-insulin Signaling Axis to Improve Metabolic Dysfunction Associated Fatty Liver Disease Combined with Insulin Resistance
Luyu LI ; Yiming FAN ; Wenlong YU ; Yiteng ZHANG ; Yaorui HU ; Huanxin DING ; Chuxuan LIU ; Xin JIN ; Hongyu ZHANG ; Qian XU ; Guangyong ZHANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(21):146-156
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.
3.Effect of occupational factors on pre-diabetes mellitus among iron and steel workers
Yajing LIAO ; Chuxuan XU ; Chongqi MA ; Zhenwei QIN ; Yajiao SU ; Hongru ZHU ; Xiaotong ZHANG ; Chan LI ; Xiaoming LI ; Zhaoyang WANG ; Juxiang YUAN ; Hongmin FAN
Chinese Journal of Epidemiology 2020;41(6):929-933
Objective:To investigate the prevalence of pre-diabetes mellitus (PDM) and the impact of occupation-related factors on PDM, among workers from a steel company in Tangshan city, Hebei province.Methods:Clustering sampling method was used to select a steel company and to carry out occupational health-related physical checkup programs for eligible workers who had working in this company for longer than one year. The study began in February and ended up in June, 2017. Workers who were with FPG level as ≤6.9 mmol/L, and free from diabetes, were selected as the subjects for this study. Questionnaires were used and physical examinations and FPG testing conducted.Results:The total number of subjects in this study was 4 173, of which 2 648 appeared as pre-diabetic, with the prevalence rate as 63.4 %. Increase of the PDM prevalence was in parallel with the length of service, among the workers. The risk for the pre-diabetes in those who worked more than 8 hours per day was 1.696 times higher than those who worked less than or equal to 8 h/d (95 %CI:1.517-1.937). Compared with those workers without exposures to heat, noise or carbon monoxides, the proportion of pre-diabetes appeared higher in workers exposed to heat, noise or CO with OR=1.782 (95 %CI: 1.205-2.636), 1.815 (95 %CI: 1.209-2.794) and 1.653 (95 %CI: 1.158-2.361), respectively. Risks for those who were exposed to heat or noise were higher than those who were free from exposure to any occupational hazards ( OR=2.098, 95 %CI: 1.296-3.397). Prevalence rates of pre-diabetes in those who were exposed to heat, noise or CO, were higher than that those who were not. Conclusion:Working hours and exposures to heat, noise or CO appeared as influential factors on PDM.

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