Intrabronchial application of extracellular histones shows no proinflammatory effects in swine in a translational pilot study

Objective!#!Extracellular histones have been identified as one molecular factor that can cause and sustain alveolar damage and were linked to high mortality rates in critically ill patients. In this pilot study, we wanted to validate the proinflammatory in vivo effects of local histone application in a prospective translational porcine model. This was combined with the evaluation of an experimental acute lung injury model using intrabronchial lipopolysaccharides, which has been published previously.!##!Results!#!The targeted application of histones was successful in all animals. Animals showed decreased oxygenation after instillation, but no differences could be detected between the sham and histone treatments. The histologic analyses and inflammatory responses indicated that there were no differences in tissue damage between the groups

Levosimendan Ameliorates Cardiopulmonary Function but Not Inflammatory Response in a Dual Model of Experimental ARDS

The calcium sensitiser levosimendan, which is used as an inodilator to treat decompensated heart failure, may also exhibit anti-inflammatory properties. We examined whether treatment with levosimendan improves cardiopulmonary function and is substantially beneficial to the inflammatory response in acute respiratory response syndrome (ARDS). Levosimendan was administered intravenously in a new experimental porcine model of ARDS. For comparison, we used milrinone, another well-known inotropic agent. Our results demonstrated that levosimendan intravenously improved hemodynamics and lung function in a porcine ARDS model. Significant beneficial alterations in the inflammatory response and lung injury were not detected

High-throughput synthesis provides data for predicting molecular properties and reaction success

Data and code to accompany the publication. Data S1 through S3 are described in the supplementary materials. The virtual library is contained in virtual_library.tar, a tar-archive containing bzip2-compressed CSV files each holding a chunk of 10,000 records for a total of 17,482,092 records. Each record has a unique identifier "mol_number". For each chunk, two files are provided: VL_chunk_xxxx_smiles.csv contains only the identifier and the respective SMILES string. The second file, VL_chunk_xxxx.csv additionally contains the predictions made for the library members. In addition to the identifier and SMILES string, the columns of VL_chunk_xxxx.csv are: - MoKa calculations: [number_of_ionizable_centers, center1_acidorbase, center1_pKa, center1_atom_number, center1_prediction_quality, center2_acidorbase, center2_pKa, center2_atom_number, center2_prediction_quality, center3_acidorbase, center3_pKa, center3_atom_number, center3_prediction_quality, center4_acidorbase, center4_pKa, center4_atom_number, center4_prediction_quality, center5_acidorbase, center5_pKa, center5_atom_number, center5_prediction_quality, center6_acidorbase, center6_pKa, center6_atom_number, center6_prediction_quality, center7_acidorbase, center7_pKa, center7_atom_number, center7_prediction_quality, center8_acidorbase, center8_pKa, center8_atom_number] - Property predictions using Novartis' model: [predicted_logD_pH7.4, predicted_logSolubility_pH6.8_(mM), predicted_ionization_constant] - Property predictions using Schrödinger: [QPlogPo/w, QPlogS]. These are calculated for the all-cis diastereomer. - Reaction outcome predictions for up to two possible reactions leading to the product: [rxn1_smiles, rxn1_predictions, rxn1_confidence, rxn2_smiles, rxn2_predictions, rxn2_confidence