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      Brucella abortus modulates macrophage polarization and inflammatory response by targeting glutaminases through the NF-κB signaling pathway

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          Abstract

          Objectives

          The mechanism of Brucella infection regulating macrophage phenotype has not been completely elucidated until now. This study aimed to determine the mechanism of Brucella abortus in the modulation of macrophage phenotype using RAW264.7 cells as a model.

          Materials and methods

          RT-qPCR, ELISA and flow cytometry were used to detect the inflammatory factor production and phenotype conversion associated with M1/M2 polarization of macrophages by Brucella abortus infection. Western blot and immunofluorescence were used to analyze the role of nuclear factor kappa B (NF-κB) signaling pathway in regulation of Brucella abortus-induced macrophage polarization. Chromatin immunoprecipitation sequencing (Chip‐seq), bioinformatics analysis and luciferase reporter assay were used to screen and validate NF-κB target genes associated with macrophage polarization and further verify its function.

          Results

          The results demonstrate that B. abortus induces a macrophage phenotypic switch and inflammatory response in a time-dependent manner. With the increase of infection time, B. abortus infection-induced M1-type increased first, peaked at 12 h, and then decreased, whereas the M2-type decreased first, trough at 12 h, and then increased. The trend of intracellular survival of B. abortus was consistent with that of M2 type. When NF-κB was inhibited, M1-type polarization was inhibited and M2-type was promoted, and the intracellular survival of B. abortus increased significantly. Chip‐seq and luciferase reporter assay results showed that NF-κB binds to the glutaminase gene ( Gls). Gls expression was down-regulated when NF-κB was inhibited. Furthermore, when Gls was inhibited, M1-type polarization was inhibited and M2-type was promoted, the intracellular survival of B. abortus increased significantly. Our data further suggest that NF-κB and its key target gene Gls play an important role in controlling macrophage phenotypic transformation.

          Conclusions

          Taken together, our study demonstrates that B. abortus infection can induce dynamic transformation of M1/M2 phenotype in macrophages. Highlighting NF-κB as a central pathway that regulates M1/M2 phenotypic transition. This is the first to elucidate the molecular mechanism of B. abortus regulation of macrophage phenotype switch and inflammatory response by regulating the key gene Gls, which is regulated by the transcription factor NF-κB.

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          Most cited references48

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          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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            clusterProfiler: an R package for comparing biological themes among gene clusters.

            Increasing quantitative data generated from transcriptomics and proteomics require integrative strategies for analysis. Here, we present an R package, clusterProfiler that automates the process of biological-term classification and the enrichment analysis of gene clusters. The analysis module and visualization module were combined into a reusable workflow. Currently, clusterProfiler supports three species, including humans, mice, and yeast. Methods provided in this package can be easily extended to other species and ontologies. The clusterProfiler package is released under Artistic-2.0 License within Bioconductor project. The source code and vignette are freely available at http://bioconductor.org/packages/release/bioc/html/clusterProfiler.html.
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              Succinate is an inflammatory signal that induces IL-1β through HIF-1α.

              Macrophages activated by the Gram-negative bacterial product lipopolysaccharide switch their core metabolism from oxidative phosphorylation to glycolysis. Here we show that inhibition of glycolysis with 2-deoxyglucose suppresses lipopolysaccharide-induced interleukin-1β but not tumour-necrosis factor-α in mouse macrophages. A comprehensive metabolic map of lipopolysaccharide-activated macrophages shows upregulation of glycolytic and downregulation of mitochondrial genes, which correlates directly with the expression profiles of altered metabolites. Lipopolysaccharide strongly increases the levels of the tricarboxylic-acid cycle intermediate succinate. Glutamine-dependent anerplerosis is the principal source of succinate, although the 'GABA (γ-aminobutyric acid) shunt' pathway also has a role. Lipopolysaccharide-induced succinate stabilizes hypoxia-inducible factor-1α, an effect that is inhibited by 2-deoxyglucose, with interleukin-1β as an important target. Lipopolysaccharide also increases succinylation of several proteins. We therefore identify succinate as a metabolite in innate immune signalling, which enhances interleukin-1β production during inflammation.
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                Author and article information

                Contributors
                Journal
                Front Immunol
                Front Immunol
                Front. Immunol.
                Frontiers in Immunology
                Frontiers Media S.A.
                1664-3224
                31 May 2023
                2023
                : 14
                : 1180837
                Affiliations
                [1] 1 State International Joint Research Center for Animal Health Breeding, College of Animal Science and Technology, Shihezi University , Shihezi, China
                [2] 2 College of Veterinary, Ural State Agricultural University , Yekaterinburg, Russia
                [3] 3 College of Veterinary, National Agricultural University of Kazakhstan , Nur Sultan, Kazakhstan
                Author notes

                Edited by: Yongxia Liu, Shandong Agricultural University, China

                Reviewed by: Maryam Dadar, Razi Vaccine and Serum Research Institute, Iran; Jonathan Lalsiamthara, Oregon Health and Science University, United States

                *Correspondence: Zhen Wang, wzhen2018@ 123456shzu.edu.cn ; Hui Zhang, prof.zhang@ 123456foxmail.com

                †These authors have contributed equally to this work and share first authorship

                Article
                10.3389/fimmu.2023.1180837
                10266586
                49b6a3c0-55a4-40c0-8e81-136213d5e4e0
                Copyright © 2023 Zhao, Zhang, Li, Sun, Liu, Deng, Guo, Zhu, Cao, Chai, Nikolaevna, Maratbek, Wang and Zhang

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 06 March 2023
                : 05 May 2023
                Page count
                Figures: 7, Tables: 0, Equations: 0, References: 48, Pages: 17, Words: 8512
                Funding
                This research was supported by National Natural Science Foundation of China (grant nos. 32260870, 31860691 and 31602080), Scientific and Technological Tackling Plan for Key Fields of the Corps (2021AB012 and 2022DB018), International Science and Technology Cooperation Promotion Plan (grant nos. 2015DFR31110 and GJHZ201709).
                Categories
                Immunology
                Original Research
                Custom metadata
                Inflammation

                Immunology
                brucella abortus,cell polarization,nf-κb,chip-seq,glutaminase
                Immunology
                brucella abortus, cell polarization, nf-κb, chip-seq, glutaminase

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