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.BRAF inhibitor-resistant melanoma promotes CXCL1 expression to recruit cancer-associated fibroblasts
Yiteng DING ; Lilu XIE ; Tianyi ZHANG ; Chuanyuan WEI ; Jianying GU
Chinese Journal of Clinical Medicine 2026;33(5):807-818
Objective To explore the key molecule and signaling pathway involved in the recruitment of cancer-associated fibroblasts (CAFs) by BRAF inhibitor (BRAFi)-resistant melanoma. Methods Tumor tissue sections were collected from 20 melanoma patients who received BRAFi-targeted therapy in Zhongshan Hospital, Fudan University, between September 2024 and September 2025, including 10 cases in the BRAFi-resistant group and 10 cases in the BRAFi-sensitive group. Immunohistochemical staining was performed to compare the number of CAFs in tumor tissues in the two groups. A co-culture model was established to compare the half-maximal inhibitory concentration (IC50) of BRAFi in melanoma cells under co-culture conditions with CAFs versus non-co-culture conditions. Differential gene expression between BRAFi-sensitive and BRAFi-resistant melanoma was analyzed using publicly available sequencing data (GSE196434), and key differentially expressed genes were identified. Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) and western blotting were employed to validate the expression differences of CXCL1 between BRAFi-sensitive and BRAFi-resistant melanoma cells, and to detect CXCL1 expression in melanoma cells treated or untreated with the AKT inhibitor (AKTi). Transwell invasion assays were performed to evaluate the recruitment capability of BRAFi-resistant and BRAFi-sensitive melanoma cells toward CAFs, and to compare the differences in recruitment capability of melanoma cells toward CAFs among the AKTi-treated group, the AKTi+CXCL1-treated group, and the control group. Results The number of CAFs was significantly higher in the BRAFi-resistant group than that in the BRAFi-sensitive group (P<0.01). The cell viability (P<0.01) and IC50 were higher in the melanoma co-culture group with CAFs than in the non-co-culture group. CXCL1 was identified as a key differentially expressed gene, with higher expression in BRAFi-resistant melanoma than in BRAFi-sensitive melanoma (P<0.01). AKTi treatment suppressed CXCL1 expression in BRAFi-resistant melanoma (P<0.01). BRAFi-resistant melanoma exhibited a stronger CAF-recruiting capacity than BRAFi-sensitive melanoma (P<0.05), and AKTi treatment reduced its ability to recruit CAFs (P<0.05). This effect was restored after the addition of exogenous CXCL1 (P<0.05). Conclusions BRAFi-resistant melanoma activates the AKT pathway to upregulate CXCL1, thereby recruiting CAFs.

Result Analysis
Print
Save
E-mail