1.The Effect of Zhiqiao Gancao Decoction (枳壳甘草汤) on Intervertebral Disc Nucleus Pulposus Cell Apoptosis and the Hippo-YAP/TAZ Signaling Pathway in Tail Intervertebral Disc Degeneration Model Rats
Zaishi ZHU ; Zeling HUANG ; Junming CHEN ; Bo XU ; Binjie LU ; Hua CHEN ; Xingxing DUAN ; Yuwei LI ; Xiaofeng SHEN
Journal of Traditional Chinese Medicine 2025;66(5):509-517
ObjectiveTo investigate the possible mechanism by which Zhiqiao Gancao Decoction (枳壳甘草汤, ZGD) delays intervertebral disc degeneration (IDD) based on the Hippo-yes-associated protein (YAP)/transcriptional co-activator with PDZ-binding motif (TAZ) signaling pathway. MethodsA total of 50 SD rats were randomly divided into sham surgery group, model group, low-dose ZGD group, high-dose ZGD group, and high-dose ZGD + inhibitor group, with 10 rats in each group. In the sham surgery group, the rats were pierced in the skin and muscle at the Co6/7/8 segments of the tail with a 21G needle (depth approximately 2 mm) without damaging the intervertebral disc. In the other groups, rats were injected with a 21G needle at the Co6/7/8 segments of the tail to establish an IDD model by piercing the tail intervertebral disc 5 mm. One week after modeling, rats in the low-dose and high-dose ZGD groups were given 6.24 and 12.24 g/(kg·d) of the decoction via gastric gavage, respectively. The high-dose ZGD + inhibitor group was given 12.24 g/(kg·d) of the decoction and an intraperitoneal injection of YAP/TAZ inhibitor Verteporfin 10 mg/kg. The sham surgery and model groups were given 5 ml/(kg·d) of normal saline via gavage. The gavage was given once a day, and the intraperitoneal injection was given every other day. After 4 weeks of continuous intervention, the pathological changes of the tail intervertebral discs were observed using HE staining, Oil Red O-Green staining, and Toluidine Blue staining. Immunohistochemistry was used to detect the expression of aggrecan and MMP3 in the nucleus pulposus. TUNEL fluorescence staining was performed to detect apoptosis in the nucleus pulposus, and the apoptosis rate was calculated. Western blot was used to detect the Hippo-YAP/TAZ signaling pathway, including YAP, phosphorylated YAP (p-YAP), phosphorylated MST1/2 (p-MST1/2), phosphorylated TAZ (p-TAZ) and apoptosis-related proteins, such as Cleaved Caspase 3, P53, Bcl-2 and Bax. ResultsCompared with sham surgery group, the rats in the model group showed significant degenerative changes in the intervertebral disc. The levels of aggrecan, Bcl-2, and YAP proteins in the nucleus pulposus decreased, while the levels of p-MST1/2, p-YAP, p-TAZ, P53, Bax, Cleaved Caspase 3, MMP3 proteins, and the apoptosis rate increased (P < 0.01). Compared with the model group, the drug intervention groups showed partial recovery in intervertebral disc degeneration. The levels of aggrecan, Bcl-2, and YAP proteins increased, while the levels of p-MST1/2, p-YAP, p-TAZ, P53, Bax, Cleaved Caspase 3, MMP3 proteins, and the apoptosis rate decreased (P<0.05 or P<0.01). The high-dose ZGD group showed more significant recovery in intervertebral disc degeneration compared to the low-dose ZGD group, with a decrease in the levels of p-MST1/2, p-YAP, p-TAZ, P53, Bax, Cleaved Caspase 3, MMP3 proteins, and apoptosis rate, and an increase in the levels of aggrecan, Bcl-2, and YAP proteins (P<0.05 or P<0.01). Compared with the high-dose ZGD group, the high-dose ZGD + inhibitor group showed a reduced recovery in intervertebral disc degeneration, with an increase in the levels of p-MST1/2, p-YAP, p-TAZ, P53, Bax, Cleaved Caspase 3, MMP3 proteins, and apoptosis rate, and a decrease in the levels of aggrecan, Bcl-2, and YAP proteins (P<0.05 or P<0.01). ConclusionZGD may delay intervertebral disc degeneration by inhibiting the phosphorylation of YAP in the nucleus pulposus, maintaining the function of the Hippo-YAP/TAZ signaling pathway, and reducing apoptosis of nucleus pulposus cells.
2.Mechanism of Wumen Zhiqiao gancao decoction inhibiting pathological angiogenesis in degenerative intervertebral discs by regulating HIF-1α/VEGF/Ang signal axis
Zeling HUANG ; Zaishi ZHU ; Yuwei LI ; Bo XU ; Junming CHEN ; Baofei ZHANG ; Binjie LU ; Xuefeng CAI ; Hua CHEN
China Pharmacy 2025;36(7):807-814
OBJECTIVE To explore the effect and mechanism of Zhiqiao gancao decoction (ZQGCD) on pathological angiogenesis of degenerative intervertebral disc. METHODS The rats were randomly divided into sham operation group (normal saline), model group (normal saline), hypoxia inducible factor-1α (HIF-1α) inhibitor (YC-1) group [2 mg/(kg·d), tail vein injection], and ZQGCD low-dose, medium-dose and high-dose groups [3.06, 6.12, 12.24 g/(kg·d)], with 8 rats in each group. Except for sham operation group, lumbar disc degeneration model of rat was constructed in all other groups. After modeling, they were given relevant medicine once a day, for consecutive 3 weeks. After the last medication, pathological changes and angiogenesis of the intervertebral disc tissue in rats were observed; the levels of inflammatory factors [interleukin-1β (IL-1β), IL-6, tumor necrosis factor-α (TNF-α)] and the expressions of angiogenesis-related proteins [HIF-1α, vascular endothelial growth factor (VEGF), VEGF receptor 2 (VEGFR2), angiotensin 1(Ang 1), Ang 2] in the com intervertebral disc tissue in rats were all determined. In cell experiment, the primary nucleus pulposus cells were isolated and cultured from rats, and cellular degeneration was induced using 50 ng/mL TNF-α. The cells were divided into blank control group (10% blank control serum), TNF-α group (10% blank control serum), YC-1 group (10% blank control serum+0.2 mmol/L YC-1), and 5%, 10%, 15% drug-containing serum group (5%, 10%, 15% drug-containing serum). After 24 hours of intervention, the nucleus pulposus cells were co-cultured with HUVEC. The expressions of Collagen Ⅱ, matrix metalloproteinase-3 (MMP-3) in nucleus pulposus cells were detected. HUVEC proliferation, migration and tube forming ability were detected, and the expression levels of the HIF-1α/VEGF/Ang signal axis and angiogenesis- related proteins (add MMP-2, MMP-9) in HUVEC were detected. RESULTS Animal experiments had shown that compared with model group, the positive expression of CD31 in the intervertebral disc tissues of rats in each drug group was down-regulated (P< 0.05), the levels of inflammatory factors and angiogenesis-related proteins were decreased significantly (P<0.05), and the pathological changes in the intervertebral disc were alleviated. Cell experiments had shown that compared with TNF-α group, the expression of Collagen Ⅱ in nucleus pulposus cells of all drug groups was significantly up-regulated (P<0.05), and the expression of MMP-3 was significantly down-regulated (P<0.05); the proliferation, migration and tubulogenesis of HUVEC were significantly weakened (P<0.05). The mRNA and protein expressions of HIF-1α, VEGF, Ang 2 as well as the expression of angiogenesis-related proteins (except for the expression of Ang 2 mRNA and HIF-1α, VEGFR2, Ang 2 protein in 5% drug- containing serum group) were significantly down-regulated (P<0.05). CONCLUSIONS ZQGCD may inhibit the HIF-1α/VEGF/ Ang signal axis to weaken the angiogenic ability of vascular endothelial cells, improve pathological angiogenesis in the intervertebral disc, and delay the degeneration of the intervertebral disc.
3.Comparison of Logistic Regression and Machine Learning Approaches in Predicting Depressive Symptoms: A National-Based Study
Xing-Xuan DONG ; Jian-Hua LIU ; Tian-Yang ZHANG ; Chen-Wei PAN ; Chun-Hua ZHAO ; Yi-Bo WU ; Dan-Dan CHEN
Psychiatry Investigation 2025;22(3):267-278
Objective:
Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic.
Methods:
Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC).
Results:
LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models.
Conclusion
Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.
4.Comparison of Logistic Regression and Machine Learning Approaches in Predicting Depressive Symptoms: A National-Based Study
Xing-Xuan DONG ; Jian-Hua LIU ; Tian-Yang ZHANG ; Chen-Wei PAN ; Chun-Hua ZHAO ; Yi-Bo WU ; Dan-Dan CHEN
Psychiatry Investigation 2025;22(3):267-278
Objective:
Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic.
Methods:
Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC).
Results:
LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models.
Conclusion
Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.
5.Comparison of Logistic Regression and Machine Learning Approaches in Predicting Depressive Symptoms: A National-Based Study
Xing-Xuan DONG ; Jian-Hua LIU ; Tian-Yang ZHANG ; Chen-Wei PAN ; Chun-Hua ZHAO ; Yi-Bo WU ; Dan-Dan CHEN
Psychiatry Investigation 2025;22(3):267-278
Objective:
Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic.
Methods:
Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC).
Results:
LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models.
Conclusion
Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.
6.Comparison of Logistic Regression and Machine Learning Approaches in Predicting Depressive Symptoms: A National-Based Study
Xing-Xuan DONG ; Jian-Hua LIU ; Tian-Yang ZHANG ; Chen-Wei PAN ; Chun-Hua ZHAO ; Yi-Bo WU ; Dan-Dan CHEN
Psychiatry Investigation 2025;22(3):267-278
Objective:
Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic.
Methods:
Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC).
Results:
LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models.
Conclusion
Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.
7.Comparison of Logistic Regression and Machine Learning Approaches in Predicting Depressive Symptoms: A National-Based Study
Xing-Xuan DONG ; Jian-Hua LIU ; Tian-Yang ZHANG ; Chen-Wei PAN ; Chun-Hua ZHAO ; Yi-Bo WU ; Dan-Dan CHEN
Psychiatry Investigation 2025;22(3):267-278
Objective:
Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic.
Methods:
Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC).
Results:
LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models.
Conclusion
Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.
8.Protective effect of aliskiren on renal injury in AGT-REN double transgenic hypertensive mice.
Xiao-Ling YANG ; Yan-Yan CHEN ; Hua ZHAO ; Bo-Yang ZHANG ; Xiao-Fu ZHANG ; Xiao-Jie LI ; Xiu-Hong YANG
Acta Physiologica Sinica 2025;77(3):408-418
This study aims to investigate the effects of renin inhibitor aliskiren on kidney injury in human angiotensinogen-renin (AGT-REN) double transgenic hypertensive (dTH) mice and explore its possible mechanism. The dTH mice were divided into hypertension group (HT group) and aliskiren intervention group (HT+Aliskiren group), while wild-type C57BL/6 mice were served as the control group (WT group). Blood pressure data of mice in HT+Aliskiren group were collected after 28 d of subcutaneous penetration of aliskiren (20 mg/kg), and the damage of renal tissue structure and collagen deposition were observed by HE, Masson and PAS staining. The ultrastructure of kidney was observed by transmission electron microscope. Coomassie bright blue staining and biochemical analyzer were used to detect renal function injury. The expression of renin-angiotensin system (RAS) was determined by ELISA and immunohistochemistry. The contents of superoxide dismutase (SOD) and malondialdehyde (MDA) in kidney were determined by chemiluminescence method. The content of nicotinamide adenine dinucleotide phosphate (NADPH) oxidase subunit p47phox, inducible nitric oxide synthase (iNOS), 3-nitrotyrosine (3-NT), NADPH oxidase 2 (NOX2) and NADPH oxidase 4 (NOX4) were detected by Western blot analysis. The results showed that compared with WT group, the blood pressure of mice in HT group was significantly increased. The renal tissue structure in HT group showed glomerular sclerosis, severe interstitial tubular injury, and increased collagen deposition. In addition, 24 h urinary protein, serum creatinine and urea levels increased. Serum and renal tissue levels of angiotensin II (Ang II) were increased, serum angiotensin-(1-7) [Ang-(1-7)] expression was decreased, and renal Ang-(1-7) expression was elevated. The expressions of ACE, Ang II type 1 receptor (AT1R) and MasR in renal tissue were increased, while the expression of ACE2 was decreased. MDA content increased, SOD content decreased, and the expressions of p47phox, iNOS, 3-NT, NOX2 and NOX4 were increased. However, aliskiren reduced blood pressure in dTH mice, improved renal structure and renal function, reduced Ang II and Ang-(1-7) levels in serum and renal tissue, reduced the expression of ACE and AT1R in renal tissue, increased the expression of ACE2 and MasR in renal tissue, and decreased the above levels of oxidative stress indexes in dTH mice. These results suggest that aliskiren may play a protective role in hypertensive renal injury by regulating the balance between ACE-Ang II-AT1R and ACE2-Ang-(1-7)-MasR axes and inhibiting oxidative stress.
Animals
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Fumarates/therapeutic use*
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Mice
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Renin/antagonists & inhibitors*
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Amides/therapeutic use*
;
Mice, Inbred C57BL
;
Hypertension/physiopathology*
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Mice, Transgenic
;
Kidney/pathology*
;
Angiotensinogen/genetics*
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Renin-Angiotensin System/drug effects*
;
NADPH Oxidases/metabolism*
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Male
;
Antihypertensive Agents/pharmacology*
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Humans
;
Superoxide Dismutase/metabolism*
;
NADPH Oxidase 4
9.Role of miR-140-5p/BCL2L1 in apoptosis and autophagy of HFOB1.19 and effect of Bushen Jianpi Huoxue Decoction.
Tong-Ying CHEN ; Sai FU ; Xiao-Yun LI ; Shu-Hua LIU ; Yi-Fu YANG ; Dong-Sheng YANG ; Yun-Jie ZENG ; Yang-Bo LI ; Dan LUO ; Hong-Xing HUANG ; Lei WAN
China Journal of Chinese Materia Medica 2025;50(3):583-589
Osteoporosis(OP) is a senile bone disease characterized by an imbalance between bone remodeling and bone formation. Targeting pathogenesis of kidney deficiency, spleen deficiency, and blood stasis, Bushen Jianpi Huoxue Decoction has a significant effect on the treatment of OP by tonifying kidney, invigorating spleen, and activating blood circulation. MicroRNA(miRNA) and the anti-apoptotic protein B-cell lymphoma-2-like protein 1(BCL2L1) are closely related to bone cell metabolism. Therefore, in this study, the binding of miR-140-5p to BCL2L1 was detected by dual luciferase assay and polymerase chain reaction(PCR). After silencing or overexpressing miR-140-5p, the apoptosis, autophagy, and osteogenic function of human fetal osteoblast cell line 1.19(HFOB1.19) were observed by flow cytometry and Western blot. Bushen Jianpi Huoxue Decoction-containing serum was prepared by intragastric administration of Bushen Jianpi Huoxue Decoction in rats. Different concentrations of Bushen Jianpi Huoxue Decoction-containing serum were used to treat HFOB1.19 with or without miR-140-5p mimic. The expression of osteogenic proteins in each group was observed, and the role of miR-140-5p/BCL2L1 in apoptosis and autophagy of HFOB1.19 was studied, along with the effect of Bushen Jianpi Huoxue Decoction on these processes. As indicated by the dual luciferase assay, miR-140-5p bound to BCL2L1. Flow cytometry and Western blot showed that miR-140-5p promoted apoptosis and inhibited autophagy in HFOB1.19. After intervention with high, medium, and low doses of Bushen Jianpi Huoxue Decoction-medicated serum, compared with the miR-140-5p NC group, the expression of osteocalcin(OCN), osteopontin(OPN), Runt-related transcription factor 2(RUNX2), and transforming growth factor beta 1(TGF-β1) decreased in the miR-140-5p mimic group, while the expression of bone morphogenetic protein 2(BMP2) showed no significant difference under high-dose intervention. Therefore, miR-140-5p/BCL2L1 can promote apoptosis and inhibit autophagy in HFOB1.19. Bushen Jianpi Huoxue Decoction can affect the osteogenic effect of miR-140-5p through BMP2.
MicroRNAs/metabolism*
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Autophagy/drug effects*
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Apoptosis/drug effects*
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Humans
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Drugs, Chinese Herbal/administration & dosage*
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Animals
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Cell Line
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bcl-X Protein/metabolism*
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Osteoblasts/metabolism*
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Rats
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Osteoporosis/physiopathology*
;
Male
;
Rats, Sprague-Dawley
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Osteogenesis/drug effects*
10.Mechanism of Yishen Jiangtang Decoction in regulating endoplasmic reticulum stress-mediated NLRP3 inflammasome to improve renal damage in diabetic nephropathy db/db mice.
Yun-Jie YANG ; Bin-Hua YE ; Chen QIU ; Han-Qing WU ; Bo-Wei HUANG ; Tong WANG ; Shi-Wei RUAN ; Fang GUO ; Jian-Ting WANG ; Ming-Qian JIANG
China Journal of Chinese Materia Medica 2025;50(10):2740-2749
This study aims to explore the mechanism through which Yishen Jiangtang Decoction(YSJTD) regulates endoplasmic reticulum stress(ERS)-mediated NOD-like receptor thermal protein domain associated protein 3(NLRP3) inflammasome to improve diabetic nephropathy(DN) in db/db mice. Thirty db/db mice were randomly divided into the model group, YSJTD group, ERS inhibitor 4-phenylbutyric acid(4-PBA) group, with 10 mice in each group. Additionally, 10 db/m mice were selected as the control group. The YSJTD group was orally administered YSJTD at a dose of 0.01 mL·g~(-1), the 4-PBA group was orally administered 4-PBA at a dose of 0.5 mg·g~(-1), and the control and model groups were given an equal volume of carboxylmethyl cellulose sodium. The treatments were administered once daily for 8 weeks. Food intake, water consumption, and body weight were recorded every 2 weeks. After the intervention, fasting blood glucose(FBG), glycosylated hemoglobin(HbA1c), urine microalbumin(U-mALB), 24-hour urine volume, serum creatinine(Scr), and blood urea nitrogen(BUN) were measured. Inflammatory markers interleukin-1β(IL-1β) and interleukin-18(IL-18) were detected using the enzyme-linked immunosorbent assay(ELISA). Renal pathology was assessed through hematoxylin-eosin(HE), periodic acid-Schiff(PAS), and Masson staining, and transmission electron microscopy(TEM). Western blot was used to detect the expression levels of glucose-regulated protein 78(GRP78), C/EBP homologous protein(CHOP), NLRP3, apoptosis-associated speck-like protein containing CARD(ASC), cysteinyl aspartate-specific proteinase(caspase-1), and gasdermin D(GSDMD) in kidney tissues. The results showed that compared to the control group, the model group exhibited poor general condition, increased weight and food and water intake, and significantly higher levels of FBG, HbA1c, U-mALB, kidney index, 24-hour urine volume, IL-1β, and IL-18. Compared to the model group, the YSJTD and 4-PBA groups showed improved general condition, increased body weight, decreased food intake, and lower levels of FBG, U-mALB, kidney index, 24-hour urine volume, and IL-1β. Specifically, the YSJTD group showed a significant reduction in IL-18 levels compared to the model group, while the 4-PBA group exhibited decreased water intake and HbA1c levels compared to the model group. Although there was a decreasing trend in water intake and HbA1c in the YSJTD group, the differences were not statistically significant. No significant differences were observed in BUN, Scr, and kidney weight among the groups. Renal pathology revealed that the model group exhibited more severe renal damage compared to the control group. Kidney sections from the model group showed diffuse mesangial proliferation in the glomeruli, tubular edema, tubular dilation, significant inflammatory cell infiltration in the interstitium, and increased glycogen staining and blue collagen deposition in the basement membrane. In contrast, the YSJTD and 4-PBA groups showed varying degrees of improvement in renal damage, glycogen staining, and collagen deposition, with the YSJTD group showing more significant improvements. TEM analysis indicated that the model group had extensive cytoplasmic edema, homogeneous thickening of the basement membrane, fewer foot processes, and widening of fused foot processes. In the YSJTD and 4-PBA groups, cytoplasmic swelling of renal tissues was reduced, the basement membrane remained intact and uniform, and foot process fusion improved.Western blot results indicated that compared to the control group, the model group showed upregulation of GRP78, CHOP, GSDMD, NLRP3, ASC, and caspase-1 expression. In contrast, both the YSJTD and 4-PBA groups showed downregulation of these markers compared to the model group. These findings suggest that YSJTD exerts a protective effect against DN by alleviating NLRP3 inflammasome activation through the inhibition of ERS, thereby improving the inflammatory response in db/db DN mice.
Animals
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Endoplasmic Reticulum Stress/drug effects*
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Diabetic Nephropathies/metabolism*
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NLR Family, Pyrin Domain-Containing 3 Protein/genetics*
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Drugs, Chinese Herbal/administration & dosage*
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Mice
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Inflammasomes/drug effects*
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Male
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Kidney/pathology*
;
Endoplasmic Reticulum Chaperone BiP
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Humans
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Interleukin-18/genetics*
;
Mice, Inbred C57BL

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