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      Enhancement of neutrophil chemotaxis by trans-anethole-treated Staphylococcus aureus strains

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          Abstract

          This study aimed to analyze the chemotactic response of differentiated HL-60 neutrophil-like (dHL-60) cells to trans-anethole (TA)-treated Staphylococcus aureus strains. Special attention was paid to evaluate the influence of TA on the chp gene expression level, as well as molecular docking and molecular dynamics (MD) simulation studies on interactions of TA with chemotaxis inhibitory protein of S. aureus (CHIPS). The following parameters were studied: susceptibility to TA using the agar diffusion method, the chp gene detection and its expression under TA influence, and clonal diversity of S. aureus strains using molecular techniques. Furthermore, a chemotactic response of dHL-60 cells to TA-treated S. aureus using Boyden chamber assay was detected and molecular modeling using both the docking methodology and unbiased MD simulations was conducted. It was found that TA showed antibacterial activity against all strains. Three genotypes and one unique pattern were distinguished among the strains. 50% of the isolates were chp-positive. It was observed that TA reduced/inhibited chp gene expression in most S. aureus strains. Enhanced chemotactic response of dHL-60 cells to TA-treated S. aureus strains was also noted. This correlation was similar for both chp-positive and chp-negative strains. Both molecular docking and MD simulations studies confirmed that TA is preferentially bound in the complement component 5a/CHIPS interface interaction region and can interfere with any processes exploiting this binding cavity. It has been proven that dHL-60 cells exhibited a higher chemotactic response to TA-treated S. aureus strains in comparison to non-treated bacteria, regardless of the achieved expression of the chp gene or its lack. Nevertheless, further analyses are required to understand this mechanism better.

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          Most cited references53

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          AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading.

          AutoDock Vina, a new program for molecular docking and virtual screening, is presented. AutoDock Vina achieves an approximately two orders of magnitude speed-up compared with the molecular docking software previously developed in our lab (AutoDock 4), while also significantly improving the accuracy of the binding mode predictions, judging by our tests on the training set used in AutoDock 4 development. Further speed-up is achieved from parallelism, by using multithreading on multicore machines. AutoDock Vina automatically calculates the grid maps and clusters the results in a way transparent to the user. Copyright 2009 Wiley Periodicals, Inc.
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            GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers

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              A new mathematical model for relative quantification in real-time RT-PCR.

              M. Pfaffl (2001)
              Use of the real-time polymerase chain reaction (PCR) to amplify cDNA products reverse transcribed from mRNA is on the way to becoming a routine tool in molecular biology to study low abundance gene expression. Real-time PCR is easy to perform, provides the necessary accuracy and produces reliable as well as rapid quantification results. But accurate quantification of nucleic acids requires a reproducible methodology and an adequate mathematical model for data analysis. This study enters into the particular topics of the relative quantification in real-time RT-PCR of a target gene transcript in comparison to a reference gene transcript. Therefore, a new mathematical model is presented. The relative expression ratio is calculated only from the real-time PCR efficiencies and the crossing point deviation of an unknown sample versus a control. This model needs no calibration curve. Control levels were included in the model to standardise each reaction run with respect to RNA integrity, sample loading and inter-PCR variations. High accuracy and reproducibility (<2.5% variation) were reached in LightCycler PCR using the established mathematical model.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: SoftwareRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: InvestigationRole: Visualization
                Role: Formal analysisRole: InvestigationRole: SoftwareRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Writing – review & editing
                Role: Formal analysisRole: Writing – review & editing
                Role: Funding acquisition
                Role: Funding acquisition
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                7 April 2023
                2023
                : 18
                : 4
                : e0284042
                Affiliations
                [1 ] Department of Diagnostic Immunology, Pomeranian Medical University in Szczecin, Szczecin, Poland
                [2 ] Department of Food Hygiene and Consumer Health Protection, Wroclaw University of Environmental and Life Sciences, Wroclaw, Poland
                [3 ] Department of Polymer and Biomaterials Science, Faculty of Chemical Technology and Engineering, West Pomeranian University of Technology, Szczecin, Poland
                [4 ] Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences, Krakow, Poland
                [5 ] Department of Biopharmacy, Medical University of Lublin, Lublin, Poland
                [6 ] Department of Laboratory Medicine, Pomeranian Medical University in Szczecin, Szczecin, Poland
                [7 ] Department of Pharmaceutical Microbiology and Microbiological Diagnostic, Medical University of Lodz, Łódź, Poland
                University of Auckland, NEW ZEALAND
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0003-0016-0541
                Article
                PONE-D-23-03058
                10.1371/journal.pone.0284042
                10081771
                37027379
                6cd9ddbb-5fae-444b-9018-4ad544ed4ca9
                © 2023 Kwiatkowski et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 2 February 2023
                : 22 March 2023
                Page count
                Figures: 3, Tables: 0, Pages: 16
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100008781, Pomorski Uniwersytet Medyczny W Szczecinie;
                Award ID: WMS-136/S/2023
                Award Recipient :
                The performing of the research was financed by funds for research and development (statutory activity of the Pomeranian Medical University in Szczecin, WMS-136/S/2023). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Organisms
                Bacteria
                Staphylococcus
                Staphylococcus Aureus
                Biology and Life Sciences
                Microbiology
                Medical Microbiology
                Microbial Pathogens
                Bacterial Pathogens
                Staphylococcus
                Staphylococcus Aureus
                Medicine and Health Sciences
                Pathology and Laboratory Medicine
                Pathogens
                Microbial Pathogens
                Bacterial Pathogens
                Staphylococcus
                Staphylococcus Aureus
                Biology and Life Sciences
                Genetics
                Gene Expression
                Biology and Life Sciences
                Cell Biology
                Cell Motility
                Chemotaxis
                Physical Sciences
                Chemistry
                Computational Chemistry
                Molecular Dynamics
                Biology and Life Sciences
                Developmental Biology
                Cell Differentiation
                Biology and Life Sciences
                Biochemistry
                Biochemical Simulations
                Biology and Life Sciences
                Computational Biology
                Biochemical Simulations
                Physical Sciences
                Chemistry
                Computational Chemistry
                Molecular Docking
                Research and Analysis Methods
                Electrophoretic Techniques
                Gel Electrophoresis
                Custom metadata
                All relevant data are within the paper and its Supporting Information file.

                Uncategorized
                Uncategorized

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