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The interaction between proteins and surfactants has gained significant research interest due to its extensive applications across various fields, including the food industry, cosmetics, and medicine. Surfactants are known to unfold the proteins, where there are extensive models describing the basic mechanism of such unfolding and the resultant structure formed across micro-to-macro length scales. These models grounded on extensive experimental and simulation studies aim to predict the interaction dynamics based on several physicochemical parameters, such as surfactant properties (, ionic character and tail length), protein characteristics (, charge and isoelectric point), and solution conditions (, pH, ionic strength, and temperature). Recently, there has been growing interest in the refolding of surfactant-induced unfolded proteins using combinations of ionic and nonionic surfactants and some mechanical procedures such as dilution, dialysis, While the mechanisms of such refolding are still being explored, a general consensus suggests preferential binding of ionic surfactants with nonionic surfactants to form mixed micelles, rather than protein-surfactant complexes. It has also been demonstrated that the interaction of proteins with surfactants can be effectively utilized to guide the heat-induced gelation of proteins. This review article will summarize the fundamentals and recent updates on (i) protein interaction with surfactants; (ii) the phenomenon of protein unfolding and refolding, and (iii) the utilization of protein-surfactant interactions to direct heat-induced protein gelation.
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http://dx.doi.org/10.1039/d5sm00207a | DOI Listing |
Urol J
September 2025
Affiliated Hospital of Nantong University, Emergency Department, Nantong, 226000, Jiangsu, China.
Purpose: Urosepsis, a condition caused by a urinary tract infection spreading to the bloodstream, has a complex epigenetic behavior in its cellular and molecular pathophysiology. The objective of this study was to identify relevant genes and signaling pathways in adult urosepsis through a bioinformatic analysis of differentially expressed genes (DEGs).
Materials And Methods: In this in-silico study, the GSE69528 dataset, containing 138 total RNA blood samples from patients with sepsis and uninfected controls, was obtained from the Gene Expression Omnibus (GEO) database.
Cardiovasc Toxicol
September 2025
Department of Cardiac Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangdong Cardiovascular Institute, Guangzhou, 510100, Guangdong, China.
Myocardial infarction (MI), induced by ischemia and hypoxia of the coronary arteries, presents as myocardial necrosis. Patients often experience intense, prolonged retrosternal pain that is unrelieved by rest or nitrate therapy and is frequently associated with high blood myocardial enzyme levels. Physical effort may exacerbate this anxiety, increasing the likelihood of life-threatening consequences such as arrhythmias, shock, or cardiac failure.
View Article and Find Full Text PDFOncogene
September 2025
Division of Neurosurgery, Children's Hospital Los Angeles, Los Angeles, CA, USA.
It has become evident from decades of clinical trials that multimodal therapeutic approaches with focus on cell intrinsic and microenvironmental cues are needed to improve understanding and treat the rare, inoperable, and ultimately fatal diffuse intrinsic pontine glioma (DIPG), now categorized as a diffuse midline glioma. In this study we report the development and characterization of an in vitro system utilizing 3D Tumor Tissue Analogs (TTA), designed to replicate the intricate DIPG microenvironment. The innate ability of fluorescently labeled human brain endothelial cells, microglia, and patient-derived DIPG cell lines to self-assemble has been exploited to generate multicellular 3D TTAs that mimic tissue-like microstructures, enabling an in- depth exploration of the spatio-temporal dynamics between neoplastic and stromal cells.
View Article and Find Full Text PDFTrends Biochem Sci
September 2025
Department of Biomedical Sciences, University of Padova, Padova, Italy; Institute of Biomembranes, Bioenergetics and Molecular Biotechnologies, National Research Council (CNR-IBIOM), Bari 70126, Italy. Electronic address:
The rise of AlphaFold and similar structure predictors has made it possible to determine the 3D structure of almost any protein from its amino acid sequence. Residue interaction networks (RINs), graphs where residues are represented as nodes and interactions as edges, provide a powerful framework for analyzing and interpreting this surge in structural data. Here, we provide a comprehensive introduction to RINs, exploring different approaches to constructing and analyzing them, including their integration with molecular dynamics (MD) simulations and artificial intelligence (AI).
View Article and Find Full Text PDFPancreatology
August 2025
Department of General Surgery, The Second Affiliated Hospital of Soochow University, Suzhou, 215000, Jiangsu, China. Electronic address:
Background: Pancreatic ductal adenocarcinoma (PDAC), the predominant form of pancreatic cancer, remains a therapeutic challenge. While GALNT4 (a member of the N-acetylgalactosaminyltransferases family) shows significant upregulation in PDAC cells, its precise oncogenic mechanisms remain poorly understood.
Methods: Bioinformatics analysis was performed to examine the expression of GALNT4 and MUC1 in pancreatic adenocarcinoma (PAAD) and to predict the glycosylation sites of MUC1.