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18. Unraveling the role of bisphenol A in osteosarcoma biology: insights into prognosis and immune microenvironment modulation

Author

Liao Shiyao, Kang Yao, Lv Jun, Lin Yichen, Zhao Tingxiao, Yao Longtao, Zhou Hong, and Zhou Kai

Subjects
Bisphenol A, Osteosarcoma, Prognosis, Immune microenvironment, Single-cell sequencing, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Abstract Background Bisphenol A (BPA) is a common environmental pollutant, and its specific mechanisms in cancer development and its impact on the tumor immune microenvironment are not yet fully understood. Methods Transcriptome data from osteosarcoma (OS) patients were downloaded from the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) database. BPA-related genes were identified through the Comparative Toxicogenomics Database (CTD), yielding 177 genes. Differentially expressed genes were analyzed using the GSE162454 dataset from the Tumor Immune Single Cell Hub 2 (TISCH2). We constructed the prognostic model using univariate Cox regression and LASSO analysis. The model was validated using the GSE16091 dataset. GO, KEGG, and GSEA analyses were performed to investigate the mechanisms of BPA-related genes. Results A total of 15 BPA-related genes were identified as differentially expressed in OS. Univariate Cox regression and LASSO analysis identified four key prognostic genes (FOLR1, MYC, ESRRA, VEGFA). The prognostic model exhibited strong predictive performance with area under the curve (AUC) values of 0.89, 0.6, and 0.79 for predicting 1-, 2-, and 3-year survival, respectively. External validation using the GSE16091 dataset confirmed the model's high accuracy with AUC values exceeding 0.88. Our results indicated that the prognosis of the high-risk population is generally poorer, which may be associated with alterations in the tumor immune microenvironment. In the high-risk group, immune cells showed predominantly low expression levels, while immune checkpoint genes were significantly overexpressed, along with markedly elevated tumor purity. These findings revealed a correlation between upregulation of BPA-related genes and formation of an immunosuppressive microenvironment, leading to unfavorable patient outcomes. Conclusion Our study highlighted the significant association of BPA with OS biology, particularly in its potential role in modulating the tumor immune microenvironment. We offered a fresh insight into the influence of BPA on cancer development, thus providing valuable insights for future clinical interventions and treatment strategies.

Published
2024
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21. Triglyceride-lowering therapies in hypertriglyceridemia-associated acute pancreatitis in China: a multicentre prospective cohort study

Author

Zhou, Jing, Wang, Zuozheng, Liu, Qinghong, Cao, Longxiang, de-Madaria, Enrique, Capurso, Gabriele, Stoppe, Christian, Wu, Dong, Huang, Wei, Chen, Yingjie, Liu, Siyao, Hong, Donghuang, Sun, Yun, Zeng, Zhenguo, Qin, Kaixiu, Ni, Haibin, Sun, Yi, Long, Yue, Guo, Feng, Liu, Xiaofeng, Zheng, Xisheng, Zhang, Guoxiu, Zhang, Xiangcheng, Zhou, Kai, Chen, Yizhe, Jiao, Qinghai, Zou, Xinsen, Luo, Xiang, Li, Gang, Ye, Bo, Li, Chao, Wang, Lanting, Li, Shuai, Windsor, John, Liu, Yuxiu, Tong, Zhihui, Li, Weiqin, and Ke, Lu

Published
2024
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45. Rapid identification of drug resistance of Escherichia coli based on electrochemical square wave voltammetry of resazurin

Author

QI Chuchu, LU Lisheng, REN Jiali, ZHOU Kai, ZHANG Xinfang, and ZHANG Ziying

Subjects
escherichia coli, drug resistance, rapid detection, resazurin, electron transport chain, square wave voltammetry, Food processing and manufacture, TP368-456
Abstract

Objective: To evaluate the antibiotic resistance of five foodborne Escherichia coli clinical isolates to ciprofloxacin, gentamicin and ampicillin. Methods: Based on the theory of electron transfer during bacterial energy metabolism and the introduction of resazurin as a redox probe, an electrochemical square wave voltammetry （SWV） method based on bladed tensin-mediated rapid identification of E. coli drug resistance was established. Results: The electrochemical square wave voltammetry values of E. coli at different concentrations mediated by resazurin were determined, and there was a good linear relationship between the E. coli concentration and the oxidized peak current （I） of resazurin in the range of 1.69×102～1.69×108 CFU/mL, with the regression equation of Y=-0.156 0X-2.965 5, and R2=0.977 5; When performing the determination of E. coli drug resistance, the drug sensitivity test standard was developed by Clinical and Laboratory Standards Institute （CLSI）. The oxidized peak current （I0） of resazurin and the oxidized peak current （I-a） obtained by E. coli after directly interacting with resazurin were used as the control, and the oxidized peak current （I+a） obtained by E. coli after treating it with antibiotics and interacting with resazurin was determined. The value of bacterial activity VETA was introduced as VETA as an indicator for the identification of bacterial resistance by electrochemical square wave voltammetry, and established a rapid electrochemical drug sensitivity test method for E. coli mediated by resazurin. The established method was used to detect the resistance of five clinical isolates of foodborne E. coli to three antibiotics, and VETA=50 was used as the critical value for determining bacterial sensitivity and resistance, and the results of the drug sensitivity tests were all in accordance with the results of the paper diffusion method. The VETA=50 was used as the critical value for determining bacterial susceptibility and resistance, and all the results were consistent with the results of the paper diffusion method, and the paper diffusion method required 18 h to report the results, whereas this method required only 2 h. Conclusion: Our electrochemical square-wave voltammetry method based on the resazurin-mediated rapid discrimination of E. coli drug resistance is able to accurately and rapidly detect the antibiotics resistance of the five foodborne clinical isolates of E. coli to ciprofloxacin, gentamicin, and ampicillin.

Published
2024
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