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1.
Endocrine ; 2024 Apr 24.
Article in English | MEDLINE | ID: mdl-38656750

ABSTRACT

PURPOSE: To evaluate the effect and mechanism of 1,25(OH)2D3 on pancreatic stellate cells (PSCs) in type 2 diabetes mellitus (T2DM). METHODS: A mouse model of T2DM was successfully established by high-fat diet (HFD) /streptozotocin (STZ) and administered 1,25(OH)2D3 for 3 weeks. Fasting blood glucose (FBG), glycated hemoglobin A1c (GHbA1c), insulin (INS) and glucose tolerance were measured. Histopathology changes and fibrosis of pancreas were examined by hematoxylin and eosin staining and Masson staining. Mouse PSCs were extracted, co-cultured with mouse insulinoma ß cells (MIN6 cells) and treated with 1,25(OH)2D3. ELISA detection of inflammatory factor expression. Tissue reactive oxygen species (ROS) levels were also measured. Immunofluorescence or Western blotting were used to measure fibrosis and inflammation-related protein expression. RESULTS: PSCs activation and islets fibrosis in T2DM mice. Elevated blood glucose was accompanied by significant increases in serum inflammatory cytokines and tissue ROS levels. 1,25(OH)2D3 attenuated islet fibrosis by reducing hyperglycemia, ROS levels, and inflammatory factors expression. Additionally, the co-culture system confirmed that 1,25(OH)2D3 inhibited PSCs activation, reduced the secretion of pro-inflammatory cytokines, down-regulated the expression of fibrosis and inflammation-related proteins, and promoted insulin secretion. CONCLUSION: Our findings identify that PSCs activation contributes to islet fibrosis and ß-cell dysfunction. 1,25(OH)2D3 exerts beneficial effects on T2DM potentially by inhibiting PSCs activation and inflammatory response, highlighting promising control strategies of T2DM by vitamin D.

2.
J Exp Clin Cancer Res ; 43(1): 121, 2024 Apr 23.
Article in English | MEDLINE | ID: mdl-38654356

ABSTRACT

BACKGROUND: Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer, and chemotherapy still serves as the cornerstone treatment functioning by inducing cytotoxic cell death. Notably, emerging evidence suggests that dying cell-released signals may induce cancer progression and metastasis by modulating the surrounding microenvironment. However, the underlying molecular mechanisms and targeting strategies are yet to be explored. METHODS: Apoptotic TNBC cells induced by paclitaxel or adriamycin treatment were sorted and their released extracellular vesicles (EV-dead) were isolated from the cell supernatants. Chemokine array analysis was conducted to identify the crucial molecules in EV-dead. Zebrafish and mouse xenograft models were used to investigate the effect of EV-dead on TNBC progression in vivo. RESULTS: It was demonstrated that EV-dead were phagocytized by macrophages and induced TNBC metastasis by promoting the infiltration of immunosuppressive PD-L1+ TAMs. Chemokine array identified CXCL1 as a crucial component in EV-dead to activate TAM/PD-L1 signaling. CXCL1 knockdown in EV-dead or macrophage depletion significantly inhibited EV-dead-induced TNBC growth and metastasis. Mechanistic investigations revealed that CXCL1EV-dead enhanced TAM/PD-L1 signaling by transcriptionally activating EED-mediated PD-L1 promoter activity. More importantly, TPCA-1 (2-[(aminocarbonyl) amino]-5-(4-fluorophenyl)-3-thiophenecarboxamide) was screened as a promising inhibitor targeting CXCL1 signals in EVs to enhance paclitaxel chemosensitivity and limit TNBC metastasis without noticeable toxicities. CONCLUSIONS: Our results highlight CXCL1EV-dead as a novel dying cell-released signal and provide TPCA-1 as a targeting candidate to improve TNBC prognosis.


Subject(s)
B7-H1 Antigen , Chemokine CXCL1 , Extracellular Vesicles , Signal Transduction , Triple Negative Breast Neoplasms , Tumor-Associated Macrophages , Animals , Female , Humans , Mice , B7-H1 Antigen/metabolism , Cell Line, Tumor , Chemokine CXCL1/metabolism , Chemokine CXCL1/genetics , Extracellular Vesicles/metabolism , Neoplasm Metastasis , Signal Transduction/drug effects , Triple Negative Breast Neoplasms/pathology , Triple Negative Breast Neoplasms/metabolism , Triple Negative Breast Neoplasms/drug therapy , Xenograft Model Antitumor Assays , Zebrafish , Tumor-Associated Macrophages/metabolism
3.
J Med Food ; 27(2): 154-166, 2024 Feb.
Article in English | MEDLINE | ID: mdl-38294790

ABSTRACT

It is currently thought that excess fatty acid-induced lipotoxicity in hepatocytes is a critical initiator in the development of nonalcoholic fatty liver disease (NAFLD). Lipotoxicity can induce hepatocyte death; thus, reducing lipotoxicity is one of the most effective therapeutic methods to combat NAFLD. Abundant evidence has shown that hesperidin (HSP), a type of flavanone mainly found in citrus fruits, is able to ameliorate NAFLD, but the molecular mechanisms are unclear. We previously reported that pyroptosis contributed to NAFLD development and that inhibiting pyroptosis contributed to blunting the progression of NAFLD in rat models. Therefore, we questioned whether HSP could contribute to ameliorating NAFLD by modulating pyroptosis. In this study, a high-fat diet (HFD) induced dyslipidemia and hepatic lipotoxicity in rats, and HSP supplementation ameliorated dyslipidemia and insulin resistance. In addition, the HFD also caused pyroptosis in the liver and pancreas, while HSP supplementation ameliorated pyroptosis. In vitro, we found that HSP ameliorated palmitic acid-induced lipotoxicity and pyroptosis in HepG2 and INS-1E cells. In conclusion, we showed for the first time that HSP has a protective effect against liver and pancreas damage in terms of pyroptosis and provides a novel mechanism for the protective effects of HSP on NAFLD.


Subject(s)
Dyslipidemias , Hesperidin , Non-alcoholic Fatty Liver Disease , Rats , Animals , Pyroptosis , Non-alcoholic Fatty Liver Disease/drug therapy , Non-alcoholic Fatty Liver Disease/etiology , Diet, High-Fat/adverse effects , Hesperidin/pharmacology , Liver , Hepatocytes
4.
PLoS One ; 17(12): e0279550, 2022.
Article in English | MEDLINE | ID: mdl-36574388

ABSTRACT

The zebrafish (Danio rerio) is widely used as a promising high-throughput model organism in neurobehavioral research. The mobility of zebrafish can be dissected into multiple behavior endpoints to assess its neurobehavioral performance. However, such facilities on the market are expensive and clumsy to be used in laboratories. Here, we designed a low-cost, automatic zebrafish behavior assay apparatus, barely without unintentional human operational errors. The data acquisition part, composed of Raspberry Pi and HQ Camera, automatically performs video recording and data storage. Then, the data processing process is also on the Raspberry Pi. Water droplets and inner wall reflection of multi-well cell culture plates (used for placing zebrafish) will affect the accuracy of object recognition. And during the rapid movement of zebrafish, the probability of zebrafish tracking loss increased significantly. Thus, ROI region and related thresholds were set, and the Kalman filter algorithm was performed to estimate the best position of zebrafish in each frame. In addition, all functions of this device are realized by the custom-written behavior analysis algorithm, which makes the optimization of the setup more efficient. Furthermore, this setup was also used to analyze the behavioral changes of zebrafish under different concentrations of alcohol exposure to verify the reliability and accuracy. The alcohol exposure induced an inverted U-shape dose-dependent behavior change in zebrafish, which was consistent with previous studies, showcasing that the data obtained from the setup proposed in this study are accurate and reliable. Finally, the setup was comprehensively assessed by evaluating the accuracy of zebrafish detection (precision, recall, F-score), and predicting alcohol concentration by XGBoost. In conclusion, this study provides a simple, and low-cost package for the determination of multiple behavioral parameters of zebrafish with high accuracy, which could be easily adapted for various other fields.


Subject(s)
Behavior, Animal , Zebrafish , Animals , Humans , Reproducibility of Results , Video Recording , Algorithms
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