AIMC Topic: Lipids
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Preparation, characterization and biocompatibility studies of thermoresponsive eyedrops based on the combination of nanostructured lipid carriers (NLC) and the polymer Pluronic F-127 for controlled delivery of ibuprofen.
Pharmaceutical development and technology
Dec 20, 2015
CONTEXT: Nanostructured lipid carrier (NLC) dispersions present low viscosity and poor mucoadhesive properties, which reduce the pre-corneal residence time and consequently, the bioavailability of ocular drugs.
Beneficial effects of Bifidobacterium lactis on lipid profile and cytokines in patients with metabolic syndrome: A randomized trial. Effects of probiotics on metabolic syndrome.
Nutrition (Burbank, Los Angeles County, Calif.)
Dec 7, 2015
OBJECTIVE: Human studies have shown the beneficial effects of probiotic microorganisms on the parameters of metabolic syndrome (MetS) and other cardiovascular risks, but to our knowledge the effect of Bifidobacterium lactis has not yet been reported....
Characterization of the abnormal lipid profile in Chinese patients with psoriasis.
International journal of clinical and experimental pathology
Nov 1, 2015
Psoriasis is a chronic inflammatory skin disease that has been associated with abnormal lipid metabolism. To characterize the lipid profile in Chinese, 86 patients with psoriasis and 84 healthy control subjects were assessed. Compared with healthy co...
Deficient serum 25-hydroxyvitamin D is associated with an atherogenic lipid profile: The Very Large Database of Lipids (VLDL-3) study.
Journal of clinical lipidology
Sep 25, 2015
BACKGROUND: Cross-sectional studies have found an association between deficiencies in serum vitamin D, as measured by 25-hydroxyvitamin D (25[OH]D), and an atherogenic lipid profile. These studies have focused on a limited panel of lipid values inclu...
Optimization of controlled release nanoparticle formulation of verapamil hydrochloride using artificial neural networks with genetic algorithm and response surface methodology.
European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V
May 16, 2015
This study was performed to optimize the formulation of polymer-lipid hybrid nanoparticles (PLN) for the delivery of an ionic water-soluble drug, verapamil hydrochloride (VRP) and to investigate the roles of formulation factors. Modeling and optimiza...
Delayed-Action Preparations
Poloxamer
Polysorbates
Technology, Pharmaceutical
Surface Properties
Calcium Channel Blockers
Chemistry, Pharmaceutical
Lipids
Drug Carriers
Models, Chemical
Polymers
Kinetics
Verapamil
Solubility
Nanomedicine
Algorithms
Computer Simulation
Nanoparticles
Neural Networks, Computer
Particle Size
The SwissLipids knowledgebase for lipid biology.
Bioinformatics (Oxford, England)
May 5, 2015
MOTIVATION: Lipids are a large and diverse group of biological molecules with roles in membrane formation, energy storage and signaling. Cellular lipidomes may contain tens of thousands of structures, a staggering degree of complexity whose significa...
Automated structural classification of lipids by machine learning.
Bioinformatics (Oxford, England)
Oct 29, 2014
MOTIVATION: Modern lipidomics is largely dependent upon structural ontologies because of the great diversity exhibited in the lipidome, but no automated lipid classification exists to facilitate this partitioning. The size of the putative lipidome fa...
Discrimination of Klebsiella pneumoniae and Klebsiella quasipneumoniae by MALDI-TOF Mass Spectrometry Coupled With Machine Learning.
MicrobiologyOpen
Aug 1, 2025
Klebsiella species, including Klebsiella pneumoniae and Klebsiella quasipneumoniae, present significant challenges in clinical microbiology due to their genetic similarity, which complicates accurate species identification using established methods, ...
A Spatial Metabolomics Annotation Workflow Leveraging Cyclic Ion Mobility and Machine Learning-Predicted Collision Cross Sections.
Journal of the American Society for Mass Spectrometry
Jun 4, 2025
In nontargeted spatial metabolomics, accurate annotation is crucial for understanding metabolites' biological roles and spatial patterns. MS mass spectrometry imaging (MSI) coverage is often incomplete or nonexistent, resulting in many unknown featur...
Predicting Placenta Accreta Spectrum Disorder Through Machine Learning Using Metabolomic and Lipidomic Profiling and Clinical Characteristics.
Obstetrics and gynecology
Jun 1, 2025
OBJECTIVE: To perform metabolomic and lipidomic profiling with plasma samples from patients with placenta accreta spectrum (PAS) to identify possible biomarkers for PAS and to predict PAS with machine learning methods that incorporated clinical chara...
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