Machine Learning-Assisted Multiplexed Fluorescence-Labeled miRNAs Imaging Decoding for Combined Mycotoxins Toxicity Assessment DOI

Lixin Kang,

Xianfeng Lin, Jiaqi Feng

и другие.

Analytical Chemistry, Год журнала: 2025, Номер unknown

Опубликована: Апрель 3, 2025

Mycotoxins, particularly deoxynivalenol (DON) and zearalenone (ZEN), are common food contaminants that frequently co-occur in grains, posing significant health risks. This study proposed a multiplexed detection platform for simultaneous quantification imaging of three microRNAs (miRNAs) integrated with machine learning to evaluate the combined toxicity DON ZEN. Based on Exonuclease III-assisted signal amplification, highly sensitive fluorescent molecular beacon probes (MBs) targeting miR-21, miR-221, miR-27a were developed, achieving remarkable limits 0.18 pM, 0.22 0.21 respectively. The MBs efficiently delivered into cells via liposome-mediated endocytosis, enabling intracellular miRNAs. By integrating algorithms, including linear discriminant analysis principal component analysis, RGB values extracted from cellular fluorescence images, robust analytical was established classifying miRNA expression patterns induced by various DON/ZEN concentrations. A highest single agent model subsequently constructed toxicity, revealing ZEN exhibited antagonistic effects at low doses but synergistic high doses. method demonstrates strong correlation between profiles providing an innovative tool multicomponent assessment.

Язык: Английский

miR124a-3p inhibitor alleviates AFB1-induced hepatoxicity via targeting chicken glucocorticoid receptor mRNA DOI Creative Commons

Mindie Zhao,

Liang Chen,

Yulan Zhao

и другие.

Poultry Science, Год журнала: 2025, Номер unknown, С. 104841 - 104841

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
miR-215 Modulates Ubiquitination to Impair Inflammasome Activation and Autophagy During Salmonella Typhimurium Infection in Porcine Intestinal Cells DOI Creative Commons

Carmen Entrenas-García,

José M. Suárez-Cárdenas, Raúl Fernández‐Rodríguez

и другие.

Animals, Год журнала: 2025, Номер 15(3), С. 431 - 431

Опубликована: Фев. 4, 2025

The host response to S. Typhimurium infection can be post-transcriptionally regulated by miRNAs. In this study, we investigated the role of miR-215 using both in vivo porcine models and vitro intestinal epithelial cell lines. Several miRNAs were found dysregulated ileum during with wild-type SPI2-defective mutant strains Typhimurium, some changes being SPI2-dependent. Notably, was significantly downregulated infection. To explore its functional role, gain-of-function experiments performed transfecting cells (IPEC-J2) a miR-215-5p mimic, followed label-free quantitative (LFQ) proteomic analysis. This analysis identified 157 proteins, which 35 overexpression, suggesting they are potential targets miRNA. Among these, E2 small ubiquitin-like modifier (SUMO)-conjugating enzyme UBC9 E3 ubiquitin-ligase HUWE1 as key targets, upregulated miR-215-mediated downregulation these proteins resulted significant decrease overall ubiquitination, process crucial for regulating inflammasome activation autophagy. Consistently, markers caspase 1 (CASP1) apoptosis-associated speck-like protein containing CARD (ASC), well autophagy microtubule-associated 1A/1B-light chain 3 (LC3B) Ras-related Rab-11 (RAB11A), showed decreased expression mimic-transfected infected IPEC-J2 cells. further validate findings, human (HT29) used complementary model, providing additional insights into conserved immune pathways extending observations made system. Overall, our findings demonstrate that plays modulating targeting involved ubiquitination

Язык: Английский

Процитировано

0
Glucocorticoid receptor-targeting antagomirs alleviates AFB1-induced hepatotoxicity in mice DOI Creative Commons

Mindie Zhao,

Yulan Zhao,

Jie Liu

и другие.

Ecotoxicology and Environmental Safety, Год журнала: 2025, Номер 292, С. 117935 - 117935

Опубликована: Фев. 24, 2025

Язык: Английский

Процитировано

0
Machine Learning-Assisted Multiplexed Fluorescence-Labeled miRNAs Imaging Decoding for Combined Mycotoxins Toxicity Assessment DOI

Lixin Kang,

Xianfeng Lin, Jiaqi Feng

и другие.

Analytical Chemistry, Год журнала: 2025, Номер unknown

Опубликована: Апрель 3, 2025

Mycotoxins, particularly deoxynivalenol (DON) and zearalenone (ZEN), are common food contaminants that frequently co-occur in grains, posing significant health risks. This study proposed a multiplexed detection platform for simultaneous quantification imaging of three microRNAs (miRNAs) integrated with machine learning to evaluate the combined toxicity DON ZEN. Based on Exonuclease III-assisted signal amplification, highly sensitive fluorescent molecular beacon probes (MBs) targeting miR-21, miR-221, miR-27a were developed, achieving remarkable limits 0.18 pM, 0.22 0.21 respectively. The MBs efficiently delivered into cells via liposome-mediated endocytosis, enabling intracellular miRNAs. By integrating algorithms, including linear discriminant analysis principal component analysis, RGB values extracted from cellular fluorescence images, robust analytical was established classifying miRNA expression patterns induced by various DON/ZEN concentrations. A highest single agent model subsequently constructed toxicity, revealing ZEN exhibited antagonistic effects at low doses but synergistic high doses. method demonstrates strong correlation between profiles providing an innovative tool multicomponent assessment.

Язык: Английский

Процитировано

0