In this study, TiCT/PVA microgels were assembled through the introduction of glutaraldehyde and PVA into TiCT colloids. Subsequently, the microgels underwent vacuum-assisted filtration (VAF) and drying processes to fabricate TiCT/PVA self-assembled films (MPGF). This research effectively reduced VAF time by introducing a small amount of glutaraldehyde. The findings demonstrate that glutaraldehyde's chemical crosslinking prompts the formation of temporary microgel frameworks between Ti3C2Tx and PVA, enhancing water molecule transfer during VAF and improving film formation efficiency. Further analysis links VAF time is related to the particle size distribution of the microgels. Adjusting crosslinking and PVA quantity alters microgel crystalline structure and -OH hydrogen bonds, affecting particle size and VAF time. Additionally, films produced via rapid VAF exhibit promising mechanical properties for practical applications.
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http://dx.doi.org/10.1016/j.heliyon.2024.e30714 | DOI Listing |
Genome Med
January 2025
Hereditary Cancer Group, Oncobell Program, Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), Av. Gran Via 199-203, L'Hospitalet del Llobregat, 08908, Spain.
Background: Germline heterozygous pathogenic variants (PVs) in TP53 cause Li-Fraumeni syndrome (LFS), a condition associated with increased risk of multiple tumor types. As the associated cancer risks were refined over time, clinical criteria also evolved to optimize diagnostic yield. The implementation of multi-gene panel germline testing in different clinical settings has led to the identification of TP53 PV carriers outside the classic LFS-associated cancer phenotypes, leading to a broader cancer phenotypic redefinition and to the renaming of the condition as "heritable TP53-related cancer syndrome" (hTP53rc).
View Article and Find Full Text PDFBlood Adv
January 2025
Department of Molecular Biotechnologies and Health Sciences, University of Torino, Torino, Italy.
Although recent evidence suggests that myeloid clonal hematopoiesis (M-CH) may influence lymphoma clinical outcome, its impact in mantle cell lymphoma (MCL) remains unclear. Here, we report a comprehensive NGS-based analysis of the M-CH mutational landscape at baseline and follow-up in patients enrolled in the Fondazione Italiana Linfomi (FIL) MCL0208 phase 3 trial (NCT02354313), evaluating lenalidomide maintenance versus observation after chemoimmunotherapy and autologous stem cell transplantation (ASCT) in untreated young MCL patients. Overall, 254/300 (85%) enrolled patients (median age 57 years [32-66]) had a baseline sample available for CH analysis.
View Article and Find Full Text PDFInt J Mol Sci
December 2024
Department of Medical Oncology, Institute of Science Tokyo, 1-5-45 Yushima, Bunkyo-Ku, Tokyo 113-8510, Japan.
Immune checkpoint inhibitors (ICIs) are effective in treating recurrent/metastatic head and neck squamous cell carcinoma (HNSCC), but only 20% of patients achieve durable responses. This study evaluated circulating tumor DNA (ctDNA) as a real-time biomarker for monitoring treatment response in HNSCC. The SHIZUKU-HN study prospectively collected and analyzed serial plasma samples (n = 27) from HNSCC patients undergoing ICIs, using Guardant360 to assess ctDNA variant allele frequency (VAF) and genetic mutations.
View Article and Find Full Text PDFClin Cancer Res
January 2025
Princess Margaret Cancer Centre, Toronto, Ontario, Canada.
Purpose: The detection of circulating tumor DNA (ctDNA) after curative-intent therapy in early breast cancer (EBC) is highly prognostic of disease recurrence. Current ctDNA assays, mainly targeting single nucleotide variants (SNVs), vary in sensitivity and specificity. While increasing the number of SNVs in tumor-informed assays improves sensitivity, structural variants (SVs) may achieve similar or better sensitivity without compromising specificity.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Geosciences, Geotechnology, and Materials Engineering for Resources, Graduate School of International Resource Sciences, Akita University, Akita, Japan.
The present investigation employs relevance vector machine (RVM) and long short-term memory (LSTM) models to predict the time-dependent bearing capacity of concrete piles. Each RVM model (SRVM) is configured by each linear, polynomial, gaussian, sigmoid, laplacian, and exponential kernel function. Each SRVM model has been optimized by each genetic (GA_SRVM) and particle swarm optimization (PSO_RVM) algorithm.
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