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      Optical imaging of the small intestine immune compartment across scales

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          Abstract

          The limitations of 2D microscopy constrain our ability to observe and understand tissue-wide networks that are, by nature, 3-dimensional. Optical projection tomography (OPT) enables the acquisition of large volumes (ranging from micrometres to centimetres) in various tissues. We present a multi-modal workflow for the characterization of both structural and quantitative parameters of the mouse small intestine. As proof of principle, we evidence its applicability for imaging the mouse intestinal immune compartment and surrounding mucosal structures. We quantify the volumetric size and spatial distribution of Isolated Lymphoid Follicles (ILFs) and quantify the density of villi throughout centimetre-long segments of intestine. Furthermore, we exhibit the age and microbiota dependence for ILF development, and leverage a technique that we call reverse-OPT for identifying and homing in on regions of interest. Several quantification capabilities are displayed, including villous density in the autofluorescent channel and the size and spatial distribution of the signal of interest at millimetre-scale volumes. The concatenation of 3D imaging with reverse-OPT and high-resolution 2D imaging allows accurate localisation of ROIs and adds value to interpretations made in 3D. Importantly, OPT may be used to identify sparsely-distributed regions of interest in large volumes whilst retaining compatibility with high-resolution microscopy modalities, including confocal microscopy. We believe this pipeline to be approachable for a wide-range of specialties, and to provide a new method for characterisation of the mouse intestinal immune compartment.

          Abstract

          A workflow for 3D characterization of the mouse small intestine with optical projection tomography allows the identification of sparsely-distributed regions of interest in large volumes while retaining compatibility with high-resolution microscopy modalities.

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          Most cited references67

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          Role of the microbiota in immunity and inflammation.

          The microbiota plays a fundamental role on the induction, training, and function of the host immune system. In return, the immune system has largely evolved as a means to maintain the symbiotic relationship of the host with these highly diverse and evolving microbes. When operating optimally, this immune system-microbiota alliance allows the induction of protective responses to pathogens and the maintenance of regulatory pathways involved in the maintenance of tolerance to innocuous antigens. However, in high-income countries, overuse of antibiotics, changes in diet, and elimination of constitutive partners, such as nematodes, may have selected for a microbiota that lack the resilience and diversity required to establish balanced immune responses. This phenomenon is proposed to account for some of the dramatic rise in autoimmune and inflammatory disorders in parts of the world where our symbiotic relationship with the microbiota has been the most affected. Copyright © 2014 Elsevier Inc. All rights reserved.
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            Interaction between microbiota and immunity in health and disease

            The interplay between the commensal microbiota and the mammalian immune system development and function includes multifold interactions in homeostasis and disease. The microbiome plays critical roles in the training and development of major components of the host’s innate and adaptive immune system, while the immune system orchestrates the maintenance of key features of host-microbe symbiosis. In a genetically susceptible host, imbalances in microbiota-immunity interactions under defined environmental contexts are believed to contribute to the pathogenesis of a multitude of immune-mediated disorders. Here, we review features of microbiome-immunity crosstalk and their roles in health and disease, while providing examples of molecular mechanisms orchestrating these interactions in the intestine and extra-intestinal organs. We highlight aspects of the current knowledge, challenges and limitations in achieving causal understanding of host immune-microbiome interactions, as well as their impact on immune-mediated diseases, and discuss how these insights may translate towards future development of microbiome-targeted therapeutic interventions.
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              Gut microbiota, metabolites and host immunity.

              The microbiota - the collection of microorganisms that live within and on all mammals - provides crucial signals for the development and function of the immune system. Increased availability of technologies that profile microbial communities is facilitating the entry of many immunologists into the evolving field of host-microbiota studies. The microbial communities, their metabolites and components are not only necessary for immune homeostasis, they also influence the susceptibility of the host to many immune-mediated diseases and disorders. In this Review, we discuss technological and computational approaches for investigating the microbiome, as well as recent advances in our understanding of host immunity and microbial mutualism with a focus on specific microbial metabolites, bacterial components and the immune system.
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                Author and article information

                Contributors
                arielle.planchette@epfl.ch
                aleksandra.radenovic@epfl.ch
                Journal
                Commun Biol
                Commun Biol
                Communications Biology
                Nature Publishing Group UK (London )
                2399-3642
                31 March 2023
                31 March 2023
                2023
                : 6
                : 352
                Affiliations
                [1 ]GRID grid.5333.6, ISNI 0000000121839049, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne (EPFL), ; 1015 Lausanne, Switzerland
                [2 ]GRID grid.508733.a, HEPIA/HES-SO, , University of Applied Sciences of Western Switzerland, ; Rue de la Prairie 4, 1202 Geneva, Switzerland
                [3 ]GRID grid.5333.6, ISNI 0000000121839049, BioImaging & Optics Platform, Ecole Polytechnique Fédérale de Lausanne (EPFL), ; 1015 Lausanne, Switzerland
                [4 ]GRID grid.8379.5, ISNI 0000 0001 1958 8658, Host-microbial interactions group, Institute of Systems Immunology, Max Planck research group, , University of Würzburg, ; Würzburg, Germany
                [5 ]GRID grid.5734.5, ISNI 0000 0001 0726 5157, Mucosal Immunology Group, Department for Biomedical Research, , University of Bern, ; Bern, Switzerland
                Author information
                http://orcid.org/0000-0001-6274-6586
                http://orcid.org/0000-0002-7100-3749
                http://orcid.org/0000-0002-7132-290X
                http://orcid.org/0000-0001-8194-2785
                http://orcid.org/0000-0001-6220-1973
                http://orcid.org/0000-0002-5858-1122
                Article
                4642
                10.1038/s42003-023-04642-3
                10066397
                97a8981e-e43d-4107-9c95-59f243b6e793
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 24 March 2022
                : 28 February 2023
                Funding
                Funded by: FundRef https://doi.org/10.13039/100010661, EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020);
                Award ID: 686271
                Award Recipient :
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                © The Author(s) 2023

                ileum,optical imaging
                ileum, optical imaging

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