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      Identification and characterization of a novel anti-inflammatory lipid isolated from Mycobacterium vaccae, a soil-derived bacterium with immunoregulatory and stress resilience properties

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          Abstract

          Rationale

          Mycobacterium vaccae (NCTC 11659) is an environmental saprophytic bacterium with anti-inflammatory, immunoregulatory, and stress resilience properties. Previous studies have shown that whole, heat-killed preparations of M. vaccae prevent allergic airway inflammation in a murine model of allergic asthma. Recent studies also demonstrate that immunization with M. vaccae prevents stress-induced exaggeration of proinflammatory cytokine secretion from mesenteric lymph node cells stimulated ex vivo, prevents stress-induced exaggeration of chemically induced colitis in a model of inflammatory bowel disease, and prevents stress-induced anxiety-like defensive behavioral responses. Furthermore, immunization with M. vaccae induces anti-inflammatory responses in the brain and prevents stress-induced exaggeration of microglial priming. However, the molecular mechanisms underlying anti-inflammatory effects of M. vaccae are not known.

          Objectives

          Our objective was to identify and characterize novel anti-inflammatory molecules from M. vaccae NCTC 11659.

          Methods

          We have purified and identified a unique anti-inflammatory triglyceride, 1,2,3-tri [ Z-10-hexadecenoyl] glycerol, from M. vaccae and evaluated its effects in freshly isolated murine peritoneal macrophages.

          Results

          The free fatty acid form of 1,2,3-tri [ Z-10-hexadecenoyl] glycerol, 10( Z)-hexadecenoic acid, decreased lipopolysaccharide-stimulated secretion of the proinflammatory cytokine IL-6 ex vivo. Meanwhile, next-generation RNA sequencing revealed that pretreatment with 10( Z)-hexadecenoic acid upregulated genes associated with peroxisome proliferator-activated receptor alpha (PPARα) signaling in lipopolysaccharide-stimulated macrophages, in association with a broad transcriptional repression of inflammatory markers. We confirmed using luciferase-based transfection assays that 10( Z)-hexadecenoic acid activated PPARα signaling, but not PPARγ, PPARδ, or retinoic acid receptor (RAR) α signaling. The effects of 10( Z)-hexadecenoic acid on lipopolysaccharide-stimulated secretion of IL-6 were prevented by PPARα antagonists and absent in PPARα-deficient mice.

          Conclusion

          Future studies should evaluate the effects of 10( Z)-hexadecenoic acid on stress-induced exaggeration of peripheral inflammatory signaling, central neuroinflammatory signaling, and anxiety- and fear-related defensive behavioral responses.

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          Most cited references103

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          Is Open Access

          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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            Diagnostic and Statistical Manual of Mental Disorders

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              Is Open Access

              HTSeq—a Python framework to work with high-throughput sequencing data

              Motivation: A large choice of tools exists for many standard tasks in the analysis of high-throughput sequencing (HTS) data. However, once a project deviates from standard workflows, custom scripts are needed. Results: We present HTSeq, a Python library to facilitate the rapid development of such scripts. HTSeq offers parsers for many common data formats in HTS projects, as well as classes to represent data, such as genomic coordinates, sequences, sequencing reads, alignments, gene model information and variant calls, and provides data structures that allow for querying via genomic coordinates. We also present htseq-count, a tool developed with HTSeq that preprocesses RNA-Seq data for differential expression analysis by counting the overlap of reads with genes. Availability and implementation: HTSeq is released as an open-source software under the GNU General Public Licence and available from http://www-huber.embl.de/HTSeq or from the Python Package Index at https://pypi.python.org/pypi/HTSeq. Contact: sanders@fs.tum.de
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                Author and article information

                Journal
                7608025
                6790
                Psychopharmacology (Berl)
                Psychopharmacology (Berl.)
                Psychopharmacology
                0033-3158
                1432-2072
                5 July 2019
                22 May 2019
                May 2019
                14 July 2019
                : 236
                : 5
                : 1653-1670
                Affiliations
                [1 ]Department of Chemistry and Biochemistry, University of Colorado Boulder, Boulder, CO 80309, USA
                [2 ]Department of Pathology, Anatomy, and Cellular Biology, Thomas Jefferson University, Philadelphia, PA 19107, USA
                [3 ]Centre for Clinical Microbiology, Department of Infection, UCL (University College London), London WC1E 6BT, UK
                [4 ]Merck Research Laboratories, MSD, Kenilworth, NJ, USA
                [5 ]School of Bioscience, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
                [6 ]Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Egyetem tér, 1, Debrecen 4032, Hungary
                [7 ]Department of Molecular, Cellular, and Developmental Biology, University of Colorado Boulder, Boulder, CO 80309, USA
                [8 ]BioFrontiers Institute, University of Colorado Boulder, Boulder, CO 80303, USA
                [9 ]MTA-DE “Lendület” Immunogenomics Research Group, University of Debrecen, Egyetem tér, 1, Debrecen 4012, Hungary
                [10 ]Department of Medicine, Johns Hopkins University, Johns Hopkins All Children’s Hospital, Saint Petersburg, FL 33701, USA
                [11 ]Department of Integrative Physiology, Center for Neuroscience, and Center for Microbial Exploration, University of Colorado Boulder, Boulder, CO 80309, USA
                [12 ]inVIVO Planetary Health, of the Worldwide Universities Network (WUN), West New York, NJ 07093, USA
                Author notes

                Author contributions G.S.B. and P.A.I. isolated and synthesized 1,2,3-tri [ Z-10-hexadecenoyl]glycerol. W.X. and X.W. developed a synthesis for 10( Z)-hexadecenoic acid and synthesized the compound. Experimental design was done by D.G.S., R.M., G.S.B., G.A.W.R., L.R.B., and C.A.L.L.N. and P.A.I designed the PPAR luciferase-based transfection assay experiments. In vivo screening and experimentation was performed by R.M. and L.R.B. In vitro experiments using freshly isolated murine peritoneal macrophages were performed by D.G.S. Transfections and reporter gene assays were performed by I.S. and P.B. RNA-seq data processing and analysis was done by D.G.S., R.D.D., and M.A.A. Experimental design and preparation of the manuscript were done by D.G.S., R.M., G.S.B., L.N., G.A.W.R., L.R.B., and C.A.L.

                Author information
                http://orcid.org/0000-0001-7858-3785
                Article
                PMC6626661 PMC6626661 6626661 nihpa1039349
                10.1007/s00213-019-05253-9
                6626661
                31119329
                f13b5aca-02d2-4c0b-b658-ce685215cab6
                History
                Categories
                Article

                Mycobacteria,Lipid,Macrophage,10(Z)-hexadecenoic acid,Interleukin 6,Inflammation,Bacteria,PPAR, vaccae ,RNA-seq

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