MSAR (1-sulfate-3-myristoyl-5-pentadecylbenzene) is a semisynthetic derivative of 5-n-pentadecylresorcinol (C15:0). MSAR exhibits hemolytic activity against sheep erythrocytes with a EH50 value of (35 +/- 1.7) microM. At low concentrations MSAR also exhibits the ability to protect cells against their hypoosmotic lysis. This protective effect is significant as, at 0.1 microM of MSAR, the extent of osmotically induced cell lysis is reduced by approx. 20%. It was demonstrated that the 9-anthroyloxystearic acid signal was most intensively quenched by MSAR molecules, suggesting a relatively deep location of these molecules within the lipid bilayer. MSAR causes an increase of the fluorescence of the membrane potential sensitive probe. This indicates an alteration of the surface charge and a decrease of the local pH value at the membrane surface. At low bilayer content (1-4 mol%) this compound causes a significant increase of the phospholipid bilayer fluidity (both under and above the main phase transition temperature) of dipalmitoylphosphatidylcholine (DPPC) liposomes. At this low content MSAR slightly decreases the main phase transition temperature (T(c)) value. The effects induced in the phospholipid bilayer by higher contents of MSAR molecules (5-10 mol%) make it impossible to determine the T(c) value and to evaluate changes of the membrane fluidity by using pyrene-labeled lipid. MSAR also causes a decrease of the activity of membrane-bound enzymes - red blood cell acetylcholinesterase (AChE) and phospholipase A2 (PLA2). MSAR decreases the AChE activity by 40% at 100 microM. The presence of MSAR in the liposomal membrane induces a complete abolishment of the lag time of the PLA2 activity, indicating that these molecules induce the formation of packing defects in the bilayer which may result from imperfect mixing of phospholipids.
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http://dx.doi.org/10.1515/znc-2007-11-1217 | DOI Listing |
J Asthma Allergy
November 2024
Department of Otorhinolaryngology, Children's Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, 210008, People's Republic of China.
Prehosp Disaster Med
August 2024
University of Health Sciences, Dept. of Emergency Medicine, Kartal Dr. Lutfi Kirdar City Hospital, Istanbul, Turkey; Chair, Disaster Commission of the Turkish Emergency Medicine Association, Ankara, Turkey.
Background: This study assesses the operational challenges and clinical outcomes encountered by a university-based Emergency Medical Team (EMT) during the medical search and rescue (mSAR) response to the February 2023 earthquakes in Kahramanmaraş, Turkey.
Methods: In this observational study, data were retrospectively collected from 42 individuals who received mSAR services post-earthquake. The challenges were categorized as environmental, logistical, or medical, with detailed documentation of rescue times, patient demographics, injury types, and medical interventions.
Comput Struct Biotechnol J
December 2024
Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China.
Taking amphibians as island models, we examined the effects of interspecific interaction on the diversity and stability of microbial ecological. As skin area increased, the diversity and stability of skin microbes decreased, but the strength of negative interactions increased significantly. In contrast, as gut area increased, the diversity and stability of gut microbes increased, but the strength of interactions remained constant.
View Article and Find Full Text PDFSensors (Basel)
March 2024
School of Ocean Information Engineering, Jimei University, Xiamen 361021, China.
The effectiveness of the SAR object detection technique based on Convolutional Neural Networks (CNNs) has been widely proven, and it is increasingly used in the recognition of ship targets. Recently, efforts have been made to integrate transformer structures into SAR detectors to achieve improved target localization. However, existing methods rarely design the transformer itself as a detector, failing to fully leverage the long-range modeling advantages of self-attention.
View Article and Find Full Text PDFHeliyon
November 2023
Institute of Computer Science & Telecommunications, Department of Probability Theory and Cyber Security, Peoples' Friendship University of Russia named after Patrice Lumumba (RUDN University), 6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation.
Artificial Intelligence (AI) is a rapidly developing field of research that attracts significant funding from both the state and industry players. Such interest is driven by a wide range of AI technology applications in many fields. Since many AI research topics relate to computer science, where a significant share of research results are published in conference proceedings, the same applies to AI.
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