Nan fang yi ke da xue xue bao = Journal of Southern Medical University最新文献

Objective: To explore the mechanism of 3-methyladenine (3-MA) for alleviating early diabetic renal injury.

Methods: Mouse models of streptozotocin (STZ) -induced diabetes mellitus were randomized into model group and 3-MA treatment group for daily treatments with normal saline and 10 mg/kg 3-MA by gavage for 6 weeks, respectively. Body weight and fasting blood glucose of the mice were recorded every week. After the treatments, the kidneys of the mice were collected for measurement kidney/body weight ratio, examination of glomerular size with PAS staining, and detection of α-SMA and PCNA expressions using Western blotting and immunohistochemistry. SV40 MES 13 cells cultured in normal glucose (5.6 mmol/L) and high glucose (30 mmol/L) were treated with 24.4 mmol/L mannitol and 5 mmol/L 3-MA for 24 h, respectively, and the changes in cell viability and PCNA expression were examined using CCK8 assay and Western blotting. Bioinformatics analysis of the intersecting gene targets of diabetic kidney disease (DKD) and 3-MA was performed, and the results were verified by Western blotting both in vivo and in vitro.

Results: In the diabetic mice, treatment with 3-MA produced a short-term hypoglycemic effect, reduced the kidney/body weight ratio and glomerular hypertrophy, and decreased the expressions of α‑SMA and PCNA in the renal cortex. In the in vitro study, 3-MA significantly lowered the viability and reduced PCNA expression in SV40 MES 13 cells exposed to high glucose. The results of bioinformatic analysis identified AKT1 as the key gene in the therapeutic mechanism of 3-MA for DKD. Western blotting confirmed that 3-MA inhibited the phosphorylation of AKT and S6 in both the renal cortex of diabetic mice and high glucose-treated SV40 MES 13 cells.

Conclusion: 3-MA suppresses mesangial cell proliferation and alleviates early diabetic renal injury in mice possibly by inhibiting AKT signaling.

Objective: To explore the therapeutic mechanism of compound Yuye Decoction against diabetic cardiomyopathy (DCM).

Methods: Drugbank, Gene Cards, OMIM and PharmGKb databases were used to obtain DCM-related targets, and the core targets were identified and functionally annotated by protein-protein interaction network analysis followed by GO and KEGG enrichment analysis. The "Traditional Chinese Medicine-Key Component-Key Target-Key Pathway" network was constructed using Cytoscape 3.9.1, and molecular docking was carried out for the key components and the core targets. In the animal experiment, Wistar rat models of DCM were treated with normal saline or Yuye Decoction by gavage at low (0.29 g/kg) and high (1.15 g/kg) doses for 8 weeks, and the changes in cardiac electrophysiology and histopathology were evaluated. The changes in serum levels of LDH, CK, and CK-MB were examined, and myocardial expressions of PI3K, P-PI3K, Akt, P-AKT, BAX, IL-6, and TNF-α were detected using Western blotting.

Results: We identified 61 active compounds in Yuye Decoction with 1057 targets, 3682 DCM-related disease targets, and 551 common targets between them. Enrichment of the core targets suggested that apoptosis, inflammation and the PI3K/Akt pathways were the key signaling pathways for DCM treatment. Molecular docking studies showed that the active components in Yuye Decoction including gold amidohydroxyethyl ester and kaempferol had strong binding activities with AKT1 and PIK3R1. In DCM rat models, treatment with Yuye Decoction significantly alleviated myocardial pathologies, reduced serum levels of LDH, CK and CK-MB, lowered myocardial expressions of BAX, IL-6 and TNF-α, and increased the expressions of P-PI3K and P-AKT.

Conclusion: The therapeutic effect of compound Yuye Decoction against DCM is mediated by its multiple active components that act on multiple targets and pathways to inhibit cardiomyocyte apoptosis and inflammatory response by regulating the PI3K/Akt signaling pathway.

Objective: To investigate the causal relationship between gut microbiota and pigmented villonodular synovitis using Mendelian randomization analysis.

Methods: We conducted a two-sample Mendelian randomization analysis to investigate the causal relationship between 211 gut microbiome taxa and pigmented villonodular synovitis based on GWAS summary data, with inverse variance weighted (IVW) analysis as the primary result and the other methods as supplementary analyses. The reliability of the results was tested using Cochran's Q test, MR-Egger regression, MR-PRESSO method and conditional Mendelian randomization analysis (cML-MA).

Results: The increased abundance of Barnesiella (OR=3.12, 95% CI: 1.15-8.41, P=0.025) and Rumatococcaceae UCG010 (OR=4.03, 95% CI: 1.19-13.68, P=0.025) may increase the risk of pigmented villous nodular synovitis, and elevated abundance of Lachnospiraceae (OR=0.33, 95% CI: 0.12-0.91, P=0.032), Alistipes (OR=0.16, 95% CI: 0.05-0.53, P=0.003), Blautia (OR=0.20, 95% CI: 0.06-0.61, P=0.005), and Lachnospiraceae FCS020 group (OR=0.38, 95% CI: 0.15-0.94, P=0.036) and Ruminococcaceae UCG014 (OR=0.36, 95% CI: 0.14-0.94, P=0.037) were all associated with a reduced risk of pigmented villonodular synovitis, which were supported by the results of sensitivity analyses. Reverse Mendelian randomization analysis did not reveal any inverse causal association.

Conclusion: Increased abundance of specific intestinal microorganisms is associated with increased or decreased risks of developing hyperpigmented villonodular synovitis, and gut microbiota plays an important role in the pathogenesis of this disease.

Objective: To explore the therapeutic mechanism of Euonymus alatus for diabetic kidney disease (DKD).

Methods: TCMSP, PubChem and Swiss Target Prediction databases were used to obtain the active ingredients in Euonymus alatus and their targets. GEO database and R language were used to analyze the differentially expressed genes in DKD. The therapeutic targets of DKD were obtained using GeneCards, DisGeNet, OMIM and TTD databases. The protein-protein interaction network and the "drug-component-target-disease" network were constructed for analyzing the topological properties of the core targets, which were functionally annotated using GO and KEGG pathway enrichment analyses. Molecular docking was performed for the core targets and the main pharmacologically active components, and the results were verified in db/db mice.

Results: Analysis of GSE96804, GSE30528 and GSE30529 datasets (including 60 DKD patients and 45 normal samples) identified 111 differentially expressed genes in DKD. Network pharmacology analysis obtained 161 intersecting genes between the target genes of Euonymus alatus and DKD, including the key core target genes SRC, EGFR, and AKT1. The core active ingredients of Euonymus alatus were quercetin, kaempferol, diosmetin, and naringenin, which were associated with responses to xenobiotic stimulionus and protein phosphorylation and regulated EGFR tyrosine kinase inhibitor resistance pathways. Molecular docking suggested good binding activities of the core active components of Euonymus alatus with the core targets. In db/db mouse models of DKD, treatment with Euonymus alatus obviously ameliorated kidney pathologies, significantly inhibited renal expressions of SRC, EGFR and AKT1, and delayed the progression of DKD.

Conclusion: Euonymus alatus contains multiple active ingredients such as quercetin, kakaferol, diosmetin, naringenin, which regulate the expressions of SRC, EGFR, and AKT1 to affect the EGFR tyrosine kinase inhibitor resistance signaling pathway to delay the progression of DKD.

Objective: To explore the key targets and signaling pathways in the therapeutic mechanism of Semiliquidambar cathayensis Chang (SC) root against pancreatic cancer network pharmacology and molecular docking studies and cell experiments.

Methods: The targets of SC and pancreatic cancer were predicted using the network pharmacological database, the protein-protein interaction network was constructed, and pathways, functional enrichment and molecular docking analyses were performed. CCK-8 assay was used to test the inhibitory effect of the aqueous extract of SC root on 8 cancer cell lines, and its effects on invasion, migration, proliferation, and apoptosis of pancreatic cancer cells were evaluated. Western blotting was performed to verify the results of network pharmacology analysis.

Results: We identified a total of 18 active components in SC, which regulated 21 potential key targets in pancreatic cancer. GO and KEGG pathway enrichment analyses showed that these targets were involved mainly in the biological processes including protein phosphorylation, signal transduction, and apoptosis and participated in cancer signaling and PI3K-Akt signaling pathways. Among the 8 cancer cell lines, The aqueous extract of SC root produced the most obvious inhibitory effect in pancreatic cancer cells, and significantly inhibited the invasion, migration, and proliferation and promoted apoptosis of pancreatic cancer Panc-1 cells (P < 0.05). Western blotting confirmed that SC significantly inhibited the phosphorylation levels of PI3K and AKT in Panc-1 cells (P < 0.001).

Conclusion: The therapeutic effect of SC root against pancreatic cancer effects is mediated by its multiple components that act on different targets and pathways including the PI3K-Akt pathway.

Objective: To investigate the association of triglyceride-glucose index (TyG) with non-alcoholic fatty liver disease (NAFLD) and its diagnostic value for NAFLD in non-obese individuals.

Methods: We retrospectively collected the data of non-obese individuals (BMI < 25 kg/m²) undergoing routine health examination at Second Affiliated Hospital of Xi'an Jiaotong University between May, 2020 and December, 2023, who all received abdominal ultrasound examination for NAFLD screening. The nonlinear relationship between TyG and non-obese NAFLD was explored using restricted cubic splines (RCS), and LASSO regression was used for variable screening; the correlation between TyG and NAFLD risk was analyzed using multivariate logistic regression. The diagnostic value of TyG for non-obese NAFLD was assessed using receiver-operating characteristic (ROC) curves and sensitivity analysis.

Results: A total of 3723 non-obese subjects were enrolled in this study, including 432 (11.6%) patients with NAFLD. Compared with the healthy individuals, the patients with NAFLD had significant elevations of systolic and diastolic blood pressures, total cholesterol, triglycerides, LDL-C, blood uric acid, fasting blood glucose, and TyG index and a decreased HDL-C level (P < 0.05). Multivariate logistic regression revealed that for each one-unit increase of TyG, the risk of non-obese NAFLD increased by 2.2 folds (OR=3.22, 95% CI: 2.53-4.12, P < 0.001). Compared with a TyG index in the lowest quartile Q1, a TyG index in the Q2, Q3 and Q4 quartiles was associated with an increased risk of NAFLD by 1.52 folds (OR=2.52, 95% CI: 1.20-5.95), 3.56 folds (OR=4.56, 95% CI: 2.28-10.46), and 8.66-folds (OR=9.66, 95% CI: 4.83-22.18), respectively. The RCS curve demonstrated a significant linear correlation between TyG index and non-obese NALFD risk (P for nonlinear= 0.019). For diagnosing non-obese NALFD, TyG index had an area under ROC curve of 0.819 with a sensitivity of 78.0% and a specificity of 71.2%.

Conclusion: An increase of TyG index is correlated with increased risks of NAFLD in non-obese individuals and can serve as an indicator for screening early NAFLD in healthy individuals.

Objective: To establish a nomogram model for predicting clinical pregnancy rate in patients with endometriosis undergoing fresh embryo transfer.

Methods: We retrospectively collected the data of 464 endometriosis patients undergoing fresh embryo transfer, who were randomly divided into a training dataset (60%) and a testing dataset (40%). Using univariate analysis, multiple logistic regression analysis, and LASSO regression analysis, we identified the factors associated with the fresh transplantation pregnancy rate in these patients and developed a nomogram model for predicting the clinical pregnancy rate following fresh embryo transfer. We employed an integrated learning approach that combined GBM, XGBOOST, and MLP algorithms for optimization of the model performance through parameter adjustments.

Results: The clinical pregnancy rate following fresh embryo transfer was significantly influenced by female age, Gn initiation dose, number of assisted reproduction cycles, and number of embryos transferred. The variables included in the LASSO model selection included female age, FSH levels, duration and initial dose of Gn usage, number of assisted reproduction cycles, retrieved oocytes, embryos transferred, endometrial thickness on HCG day, and progesterone level on HCG day. The nomogram demonstrated an accuracy of 0.642 (95% CI: 0.605-0.679) in the training dataset and 0.652 (95% CI: 0.600-0.704) in the validation dataset. The predictive ability of the model was further improved using ensemble learning methods and achieved predicative accuracies of 0.725 (95% CI: 0.680-0.770) in the training dataset and 0.718 (95% CI: 0.675-0.761) in the validation dataset.

Conclusions: The established prediction model in this study can help in prediction of clinical pregnancy rates following fresh embryo transfer in patients with endometriosis.

Objective: To investigate renal expression level of STING in mice with renal ischemia-reperfusion injury (IRI) and its regulatory role in IRI.

Methods: C57BL/6 mice were divided into sham operation group, IRI (induced by clamping the renal artery) model group, IRI+DMSO treatment group, and IRI+SN-011 treatment group. Serum creatinine and blood urea nitrogen of the mice were analyzed, and pathological changes in the renal tissue were assessed with PAS staining. RT-qPCR, ELISA, Western blotting, and immunohistochemistry were used to detect the expression levels of STING, KIM-1, Bcl-2, Bax, caspase-3, TLR4, P65, NLRP3, caspase-1, CD68, MPO, IL-1β, IL-6, and TNF-α in the renal tissues. In the cell experiment, HK-2 cells exposed to hypoxia-reoxygenation (H/R) were treated with DMSO or SN-011, and cellular STING expression levels and cell apoptosis were analyzed using RT-qPCR, Western blotting or flow cytometry.

Results: In C57BL/6 mice, renal IRI induced obvious renal tissue damage, elevation of serum creatinine and blood urea nitrogen levels and renal expression levels of KIM-1, STING, TLR4, P65, NLRP3, caspase-1, caspase-3, Bax, CD68, MPO, IL-1β, IL-6, and TNF-α, and reduction of Bcl-2 expression level. Treatment of the mouse models with SN-011 for inhibiting STING expression significantly alleviated these changes. In HK-2 cells, H/R exposure caused significant elevation of cellular STING expression and obviously increased cell apoptosis rate, which was significantly lowered by treatment with SN-011.

Conclusion: Renal STING expression is elevated in mice with renal IRI to exacerbate renal injury by regulating the TLR4/NF-κB/NLRP3 pathway and promoting inflammation and apoptosis in the renal tissues.

Objective: To investigate whether sodium butyrate (NaB) and sorafenib synergistically induces ferroptosis to suppress proliferation of hepatocellular carcinoma cells and the possible underlying mechanisms.

Methods: CCK8 assay and colony formation assay were used to assess the effects of NaB and sorafenib, alone or in combination, on proliferation of HepG2 cells, and ferroptosis of the treated cells was detected with GSH assay and C11-BODIPY 581/591 fluorescent probe. TCGA database was used to analyze differential YAP gene expression between liver cancer and normal tissues. The effects of NaB and sorafenib on YAP and p-YAP expressions in HepG2 cells were invesitigated using Western blotting.

Results: NaB (2 mmol/L) significantly reduced the IC₅₀ of sorafenib in HepG2 cells, and combination index analysis confirmed the synergy between sorafenib and NaB. The ferroptosis inhibitor Fer-1 and the YAP activator (XMU) obviously reversed the growthinhibitory effects of the combined treatment with NaB and sorafenib in HepG2 cells. The combined treatment with NaB and sorafenib, as compared with the two agents used alone, significantly inhibited colony formation of HepG2 cells, further enhanced cellular shrinkage and dispersion, and decreased intracellular GSH and lipid ROS levels, and these effects were reversed by Fer-1 and XMU. TCGA analysis revealed a higher YAP mRNA expression in liver cancer tissues than in normal liver tissues. NaB combined with sorafenib produced significantly stronger effects than the individual agents for downregulating YAP protein expression and upregulating YAP phosphorylation level in HepG2 cells.

Conclusion: NaB combined with sorafenib synergistically inhibit hepatocellular carcinoma cell proliferation possibly by inducing ferroptosis via inhibiting YAP expression.

Objective: To explore the applicable conditions of the Cox-TEL (Cox PH-Taylor expansion adjustment for long-term survival data) method for analysis of survival data that contain cured patients.

Methods: The simulated survival data method based on Weibull distribution was used to simulate and generate the survival data with different cure rates, censored rates, and cure rate differences. The Cox-TEL method was used for analysis of the generated simulation data, and its performance was evaluated by calculating its type Ⅰ error and power.

Results: Almost all the type Ⅰ error of the hazard ratios (HRs) obtained by the Cox-TEL method under different conditions were slightly greater than 0.05, and this method showed a good test power for estimating the HRs for data with a large sample size and a large difference in proportions (DPs). For the data of cured patients, the type Ⅰ error of the DPs obtained by the Cox-TEL method was well around 0.05, and its test power was robust in most of the scenarios.

Conclusion: The Cox-TEL method is effective for analyzing data of uncured patients and obtaining reliable HRs for most of the survival data with a sample size, a low censored rates, and a large difference in cure rates. The method is capable of accurately estimating the DPs regardless of the sample size, censored rates, or the cure rates.