The interplay of membrane fluidity, acyl chain order and area per lipid on the partitioning of two antidepressants paroxetine and sertraline.

Selective serotonin reuptake inhibitors (SSRIs) are among the popular drugs for treating depression and mental disorders. Membrane fluidity has previously been considered as the main factor in modulating the membrane partitioning of SSRIs, while other biophysical properties, such as the acyl chain order and area per lipid, were often neglected. Varying the lipid membrane composition and temperature can significantly modify the physical phase and, in turn, affect its fluidity, acyl chain order and area per lipid. Here, we investigate the role of membrane fluidity, acyl chain order and area per lipid in the partitioning of two SSRIs, paroxetine (PAX) and sertraline (SER). The model membranes were either POPC : SM (1 : 1 mol ratio) or POPC : SM : Chol (1 : 1 : 1 mol ratio) and studied in the temperature range of 25-45 °C. The order parameters and area per lipid in the two lipid mixtures were calculated using molecular dynamics simulations. The membrane partitioning of PAX and SER was determined via second derivative spectrophotometry. In a lower temperature range (25-32 °C), membrane fluidity favors the SSRI partitioning into Lo/Ld POPC:SM:Chol. In a higher temperature range (37-45 °C), the interplay between membrane fluidity, acyl chain order and area per lipid favors drug partitioning into Ld POPC:SM. The findings offer indication for the inconsistent distribution of SSRIs in tissues as well as the possible interaction of SSRIs with lipid domains and membrane-bound proteins.

VinDr-CXR: An open dataset of chest X-rays with radiologist's annotations.

Most of the existing chest X-ray datasets include labels from a list of findings without specifying their locations on the radiographs. This limits the development of machine learning algorithms for the detection and localization of chest abnormalities. In this work, we describe a dataset of more than 100,000 chest X-ray scans that were retrospectively collected from two major hospitals in Vietnam. Out of this raw data, we release 18,000 images that were manually annotated by a total of 17 experienced radiologists with 22 local labels of rectangles surrounding abnormalities and 6 global labels of suspected diseases. The released dataset is divided into a training set of 15,000 and a test set of 3,000. Each scan in the training set was independently labeled by 3 radiologists, while each scan in the test set was labeled by the consensus of 5 radiologists. We designed and built a labeling platform for DICOM images to facilitate these annotation procedures. All images are made publicly available in DICOM format along with the labels of both the training set and the test set.

Thermodynamics of selective serotonin reuptake inhibitors partitioning into 1,2-dioleoyl-sn-glycero-3-phosphocholine bilayers.

Knowledge of thermodynamics of lipid membrane partitioning of amphiphilic drugs as well as their binding site within the membrane are of great relevance not only for understanding the drugs' pharmacology but also for the development and optimization of more potent drugs. In this study, the interaction between two representatives of selective serotonin reuptake inhibitors, including paroxetine and sertraline, and large unilamellar vesicles (LUVs) composed of 1,2-dioleoyl-sn-glycero-3-phosphocholine (DOPC) was investigated by second derivative spectrophotometry and Fourier transform infrared spectroscopy (FTIR) to determine the driving force of the drug partitioning across lipid membranes. It was found that temperature increase from 25 to 42 °C greatly enhanced the partitioning of paroxetine and sertraline into DOPC LUVs, and sertraline intercalated into the lipid vesicles to a greater extent than paroxetine in the temperature range examined. The partitioning of both drugs into DOPC LUVs was a spontaneous, endothermic and entropy-driven process. FTIR measurements suggested that sertraline could penetrate deeply into the acyl tails of DOPC LUVs as shown by the considerable shifts in the lipid's CH2 and C[double bond, length as m-dash]O stretching modes induced by the drug. Paroxetine, however, could reside closer to the head groups of the lipid since its presence caused a larger shift in the PO2 - bands of DOPC LUVs. The findings reported here provide valuable insights into the influence of small molecules' chemical structure on their molecular interaction with the lipid bilayer namely their possible binding sites within the lipid bilayer and their thermodynamics profiles of partitioning, which could benefit rational drug design and drug delivery systems.