In this work we obtain the thermodynamic properties of mixed (1-stearoyl-2-oleoyl-sn-glycero-3-phosphocholine) PC and (1-stearoyl-2-oleoyl-sn-glycero-3-phospho-l-serine (sodium salt)) PS monolayers. Measurements of compressibility (isotherms, bulk modulus, and excess area per molecule) and surface potential show that the properties of monolayers at the air-water interface depend on the concentration of ions (Na(+) and K(+)) and the proportion of PS in the mixture. The dependence on PS arises because the molecule is originally bound to a Na(+) counterion; by increasing the concentration of ions the entropy changes, creating a favorable system for the bound counterions of PS to join the bulk, leaving a negatively charged molecule. This change leads to an increase in electrostatic repulsions which is reflected by the increase in area per molecule versus surface pressure and a higher surface potential. The results lead to the conclusion that this mixture of phospholipids follows a non ideal behavior and can help to understand the thermodynamic behavior of membranes made of binary mixtures of a zwitterionic and an anionic phospholipid with a bound counterion.
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http://dx.doi.org/10.1016/j.colsurfb.2011.02.037 | DOI Listing |
Brief Bioinform
November 2024
Department of Computer Science, Hunan University, Changsha 410008, China.
Recently, the impressive performance of large language models (LLMs) on a wide range of tasks has attracted an increasing number of attempts to apply LLMs in drug discovery. However, molecule optimization, a critical task in the drug discovery pipeline, is currently an area that has seen little involvement from LLMs. Most of existing approaches focus solely on capturing the underlying patterns in chemical structures provided by the data, without taking advantage of expert feedback.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Tulane University, New Orleans, LA, USA.
Background: Alzheimer's Disease (AD) is a prevalent age-related neurodegenerative condition leading to dementia, yet factors regulating its polygenomic etiology and progression remain elusive. MicroRNAs (miRNAs), small RNA molecules regulating protein expression, play a role in neurodegeneration. MicroRNA-34a (miR-34a) is a crucial regulator of numerous genes associated with neurodegenerative disorders, protein aggregation and synaptic transmission genes.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Universidade do Vale do Rio dos Sinos, São Leopoldo, Rio Grande do Sul, Brazil.
Background: In recent years, researchers have linked epigenetic factors to numerous diseases, one of them being Alzheimer's Disease (AD). Those factors may lead to the disease but also serve as a path for new treatments and prevention methods.
Method: A wide selection of articles in the PubMed platform that focused on epigenetics, Alzheimer's Disease, and correlating aspects among them were reviewed.
Background: Bile acids (BA) are steroids regulating nutrient absorption, energy metabolism, and mitochondrial function, and serve as important signaling molecules with a role in the gut-brain axis. The composition of BAs in humans changes with diet type and health status, which is well documented with a few known bile acids. In this study, we leveraged a new BA-specific spectral library curated in the Dorrestein lab at UCSD to expand the pool of detected BAs in Alzheimer-related LC-MS/MS datasets and provide links to dietary profiles and AD markers.
View Article and Find Full Text PDFFront Cardiovasc Med
December 2024
School of Medicine, Nankai University, Tianjin, China.
Extracellular vesicles (EVs) are nanosized particles secreted by cells that play crucial roles in intercellular communication, especially in the context of cardiovascular diseases (CVDs). These vesicles carry complex cargo, including proteins, lipids, and nucleic acids, that reflects the physiological or pathological state of their cells of origin. Multiomics analysis of cell-derived EVs has provided valuable insights into the molecular mechanisms underlying CVDs by identifying specific proteins and EV-bound targets involved in disease progression.
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