Biological membranes consist of lipid bilayers with liquid-ordered and liquid-disordered phases. It is believed that cholesterol controls the size of the microdomains in the liquid-ordered phase and thereby affects the mobility as well as the permeability of the membrane. We study this process in a model system consisting of the nonionic surfactant C(12)E(5) and water in the lamellar phase. We measure the diffusion of fluorescent probe molecules (rhodamine B) by fluorescence correlation spectroscopy. For different surfactant to water ratios, we measure how the molecular mobility varies with the amount of cholesterol added. We find that a reduction of the diffusion coefficient is already detectable at a molar ratio of 8 mol % cholesterol.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1063/1.2794345 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Adjunctive PCSK9 Inhibitor Evolocumab in the Prevention of Early Neurological Deterioration in Non-cardiogenic Acute Ischemic Stroke: A Multicenter, Prospective, Randomized, Open-Label, Clinical Trial.
CNS Drugs
January 2025
Department of Cardiology, Second Affiliated Hospital of Dalian Medical University, Dalian, China.
Background: Early neurological deterioration (END) is associated with a poor prognosis in acute ischemic stroke (AIS). Effectively lowering low-density lipoprotein cholesterol (LDL-C) can improve the stability of atherosclerotic plaque and reduce post-stroke inflammation, which may be an effective means to lower the incidence of END. The objective of this study was to determine the preventive effects of evolocumab on END in patients with non-cardiogenic AIS.
View Article and Find Full Text PDFLipids, lipid-lowering drugs and the risk of herpes zoster: a Mendelian randomization study.
Arch Dermatol Res
January 2025
Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Observational studies have shown that the risk of developing herpes zoster (HZ) increases with the use of statins. However, there are many confounding factors in observational studies. Therefore, our Mendelian randomization (MR) study aimed to explore the causal role of lipids in HZ and to assess the causal impact of lipid-lowering drug targets on HZ risk.
View Article and Find Full Text PDFMediators of the association between nut consumption and cardiovascular diseases: a two-step mendelian randomization study.
Sci Rep
January 2025
Department of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing, People's Republic of China.
Previous observational studies have reported inconsistent associations between nut consumption and cardiovascular diseases (CVD). This study aims to identify the causal relationship between different types of nuts consumption and CVD, and to quantify the potential mediating effects of cardiometabolic factors. We utilized Genome-Wide Association Study (GWAS) data to assess the causal effects of nut consumption on CVD using two-sample Mendelian randomization (MR) and a two-step MR analysis.
View Article and Find Full Text PDFUnveiling nature's antidiabetic potential in Berberis orthobotrys seeds for alloxan-induced diabetic rats.
Sci Rep
January 2025
Department of Biotechnology, College of Science, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia.
To illustrate the anti-diabetic properties of Berberis orthobotrys seeds was the aim of the current study. After a series of experiments, two doses of aqueous methanolic extract of the seeds were selected i.e.
View Article and Find Full Text PDFPrediction of pulmonary embolism by an explainable machine learning approach in the real world.
Sci Rep
January 2025
Department of Respiratory and Critical Care Medicine, Changhai Hospital, The Second Military Medical University, Shanghai, People's Republic of China.
In recent years, large amounts of researches showed that pulmonary embolism (PE) has become a common disease, and PE remains a clinical challenge because of its high mortality, high disability, high missed and high misdiagnosed rates. To address this, we employed an artificial intelligence-based machine learning algorithm (MLA) to construct a robust predictive model for PE. We retrospectively analyzed 1480 suspected PE patients hospitalized in West China Hospital of Sichuan University between May 2015 and April 2020.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!