This study aimed to enhance inulinase production from agricultural biomass pretreated with deep eutectic solvents (DES) using Aspergillus niger A42 (ATCC 204447). Barley husk (BH), wheat bran (WB), and oat husk (OH) were selected as substrates and were pretreated using different molar ratios of choline chloride: glycerol (ChCl: Gly) and choline chloride: acetic acid (ChCl: AA). DES pretreatment was followed by dilute sulfuric acid hydrolysis.
View Article and Find Full Text PDFThe invasion and metastasis of cancer cells transform localized cancers into systemic and life-threatening diseases, posing one of the most significant challenges in cancer treatment. This study tested the hypothesis that combined treatment with Caffeic acid (CA) and metformin (MTF) could inhibit or reduce effective signaling pathways involved in the proliferation, survival, and metastasis of MCF-7 breast cancer cells. Anti-proliferation analysis determined the IC50 values for MTF (4.
View Article and Find Full Text PDFUrinary extracellular vesicles (uEVs) are a promising substrate for discovering new biomarkers. In order to investigate the origin of uEVs and the cargo they carry, some types of downstream analysis of uEVs may require concentration and enrichment as well as removal of contaminating substances. Co-isolation of the abundant urinary protein uromodulin with uEVs can be a problem, and may interfere with some techniques, in particular with proteomic analysis tools.
View Article and Find Full Text PDFBackground: The aim of combining hyperthermic intrathoracic chemotherapy (HITHOC) with surgery is to achieve local control in patients with pleural malignancies. Liver and kidney dysfunction resulting from this procedure have been reported in the literature. The objective of the study is to examine whether the laboratory abnormalities observed during the initial period persist until day 30.
View Article and Find Full Text PDFLung cancer is a prevalent malignancy associated with a high mortality rate, with a 5-year relative survival rate of 23%. Traditional survival analysis methods, reliant on clinician judgment, may lack accuracy due to their subjective nature. Consequently, there is growing interest in leveraging AI-based systems for survival analysis using clinical data and medical imaging.
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