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      Cytometry profiling of ex vivo recall responses to Coxiella burnetii in previously naturally exposed individuals reveals long-term changes in both adaptive and innate immune cellular compartments

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          Abstract

          Introduction

          Q fever, caused by the intracellular bacterium Coxiella burnetii, is considered an occupational and biodefense hazard and can result in debilitating long-term complications. While natural infection and vaccination induce humoral and cellular immune responses, the exact nature of cellular immune responses to C. burnetii is incompletely understood. The current study seeks to investigate more deeply the nature of long-term cellular recall responses in naturally exposed individuals by both cytokine release assessment and cytometry profiling.

          Methods

          Individuals exposed during the 2007-2010 Dutch Q fever outbreak were grouped in 2015, based on a C. burnetii-specific IFNγ release assay (IGRA), serological status, and self-reported clinical symptoms during initial infection, into asymptomatic IGRA-negative/seronegative controls, and three IGRA-positive groups (seronegative/asymptomatic; seropositive/asymptomatic and seropositive/symptomatic). Recall responses following in vitro re-stimulation with heat-inactivated C. burnetii in whole blood, were assessed in 2016/2017 by cytokine release assays (n=55) and flow cytometry (n=36), and in blood mononuclear cells by mass cytometry (n=36).

          Results

          Cytokine release analysis showed significantly elevated IL-2 responses in all seropositive individuals and elevated IL-1β responses in those recovered from symptomatic infection. Comparative flow cytometry analysis revealed significantly increased IFNγ, TNFα and IL-2 recall responses by CD4 T cells and higher IL-6 production by monocytes from symptomatic, IGRA-positive/seropositive individuals compared to controls. Mass cytometry profiling and unsupervised clustering analysis confirmed recall responses in seropositive individuals by two activated CD4 T cell subsets, one characterized by a strong Th1 cytokine profile (IFNγ +IL-2 +TNFα +), and identified C. burnetii-specific activation of CD8 T cells in all IGRA-positive groups. Remarkably, increased C. burnetii-specific responses in IGRA-positive individuals were also observed in three innate cell subpopulations: one characterized by an IFNγ +IL-2 +TNFα + Th1 cytokine profile and lack of canonical marker expression, and two IL-1β-, IL-6- and IL-8-producing CD14 + monocyte subsets that could be the drivers of elevated secretion of innate cytokines in pre-exposed individuals.

          Discussion

          These data highlight that there are long-term increased responses to C. burnetii in both adaptive and innate cellular compartments, the latter being indicative of trained immunity. These findings warrant future studies into the protective role of these innate responses and may inform future Q fever vaccine design.

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          Most cited references72

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          Defining trained immunity and its role in health and disease

          Immune memory is a defining feature of the acquired immune system, but activation of the innate immune system can also result in enhanced responsiveness to subsequent triggers. This process has been termed ‘trained immunity’, a de facto innate immune memory. Research in the past decade has pointed to the broad benefits of trained immunity for host defence but has also suggested potentially detrimental outcomes in immune-mediated and chronic inflammatory diseases. Here we define ‘trained immunity’ as a biological process and discuss the innate stimuli and the epigenetic and metabolic reprogramming events that shape the induction of trained immunity.
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            FlowSOM: Using self-organizing maps for visualization and interpretation of cytometry data.

            The number of markers measured in both flow and mass cytometry keeps increasing steadily. Although this provides a wealth of information, it becomes infeasible to analyze these datasets manually. When using 2D scatter plots, the number of possible plots increases exponentially with the number of markers and therefore, relevant information that is present in the data might be missed. In this article, we introduce a new visualization technique, called FlowSOM, which analyzes Flow or mass cytometry data using a Self-Organizing Map. Using a two-level clustering and star charts, our algorithm helps to obtain a clear overview of how all markers are behaving on all cells, and to detect subsets that might be missed otherwise. R code is available at https://github.com/SofieVG/FlowSOM and will be made available at Bioconductor.
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              BCG Educates Hematopoietic Stem Cells to Generate Protective Innate Immunity against Tuberculosis

              The dogma that adaptive immunity is the only arm of the immune response with memory capacity has been recently challenged by several studies demonstrating evidence for memory-like innate immune training. However, the underlying mechanisms and location for generating such innate memory responses in vivo remain unknown. Here, we show that access of Bacillus Calmette-Guérin (BCG) to the bone marrow (BM) changes the transcriptional landscape of hematopoietic stem cells (HSCs) and multipotent progenitors (MPPs), leading to local cell expansion and enhanced myelopoiesis at the expense of lymphopoiesis. Importantly, BCG-educated HSCs generate epigenetically modified macrophages that provide significantly better protection against virulent M. tuberculosis infection than naïve macrophages. By using parabiotic and chimeric mice, as well as adoptive transfer approaches, we demonstrate that training of the monocyte/macrophage lineage via BCG-induced HSC reprogramming is sustainable in vivo. Our results indicate that targeting the HSC compartment provides a novel approach for vaccine development.
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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
                11 October 2023
                2023
                : 14
                : 1249581
                Affiliations
                [1] 1 Vaccine and Immunotherapy Center, Massachusetts General Hospital , Boston, MA, United States
                [2] 2 InnatOss Laboratories B.V. , Oss, Netherlands
                Author notes

                Edited by: Sylvie Bertholet, GSK Vaccines, United States

                Reviewed by: Jayaraman Tharmalingam, University of Wisconsin-Madison, United States; Dr Beatrice Omusiro Ondondo, University Hospitals of Leicester NHS Trust, United Kingdom

                *Correspondence: Ann E. Sluder, asluder@ 123456mgh.harvard.edu ; Mark C. Poznansky, mpoznansky@ 123456mgh.harvard.edu

                †Present address: Anja Scholzen, Byondis B.V., Nijmegen, Netherlands; Robert Shepard, University of Massachusetts Chan Medical School, Worcester, MA, United States; Joshua M. Hess, Program in Computational Biology & Medicine, Cornell University, New York, NY, United States; Skylar Korek, Department of General Surgery, Penn State Hershey Medical Center, Hershey, PA, United States

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

                Article
                10.3389/fimmu.2023.1249581
                10598782
                37885896
                b3eaa2f3-2272-49d0-822c-451212684fad
                Copyright © 2023 Raju Paul, Scholzen, Reeves, Shepard, Hess, Dzeng, Korek, Garritsen, Poznansky and Sluder

                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
                : 28 June 2023
                : 26 September 2023
                Page count
                Figures: 8, Tables: 6, Equations: 0, References: 72, Pages: 21, Words: 10889
                Funding
                This study was supported by contract HDTRA1-15-C-0020 from the US Defense Threat Reduction Agency ( www.dtra.mil), awarded to Massachusetts General Hospital, with MP as Lead Principal Investigator. Additional support for data analysis was provided by the Vaccine & Immunotherapy Innovation Fund of Massachusetts General Hospital.
                Categories
                Immunology
                Original Research
                Custom metadata
                Microbial Immunology

                Immunology
                coxiella burnetii,q fever,mass cytometry,cytokines,immune profiling,human,innate,cellular immunity
                Immunology
                coxiella burnetii, q fever, mass cytometry, cytokines, immune profiling, human, innate, cellular immunity

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