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      A body–brain circuit that regulates body inflammatory responses

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          Abstract

          The body–brain axis is emerging as a principal conductor of organismal physiology. It senses and controls organ function 1, 2 , metabolism 3 and nutritional state 46 . Here we show that a peripheral immune insult strongly activates the body–brain axis to regulate immune responses. We demonstrate that pro-inflammatory and anti-inflammatory cytokines communicate with distinct populations of vagal neurons to inform the brain of an emerging inflammatory response. In turn, the brain tightly modulates the course of the peripheral immune response. Genetic silencing of this body–brain circuit produced unregulated and out-of-control inflammatory responses. By contrast, activating, rather than silencing, this circuit affords neural control of immune responses. We used single-cell RNA sequencing, combined with functional imaging, to identify the circuit components of this neuroimmune axis, and showed that its selective manipulation can effectively suppress the pro-inflammatory response while enhancing an anti-inflammatory state. The brain-evoked transformation of the course of an immune response offers new possibilities in the modulation of a wide range of immune disorders, from autoimmune diseases to cytokine storm and shock.

          Abstract

          The body–brain axis regulates body pro-inflammatory and anti-inflammatory immune responses following an immune insult.

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          Most cited references77

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          Integrating single-cell transcriptomic data across different conditions, technologies, and species

          Computational single-cell RNA-seq (scRNA-seq) methods have been successfully applied to experiments representing a single condition, technology, or species to discover and define cellular phenotypes. However, identifying subpopulations of cells that are present across multiple data sets remains challenging. Here, we introduce an analytical strategy for integrating scRNA-seq data sets based on common sources of variation, enabling the identification of shared populations across data sets and downstream comparative analysis. We apply this approach, implemented in our R toolkit Seurat (http://satijalab.org/seurat/), to align scRNA-seq data sets of peripheral blood mononuclear cells under resting and stimulated conditions, hematopoietic progenitors sequenced using two profiling technologies, and pancreatic cell 'atlases' generated from human and mouse islets. In each case, we learn distinct or transitional cell states jointly across data sets, while boosting statistical power through integrated analysis. Our approach facilitates general comparisons of scRNA-seq data sets, potentially deepening our understanding of how distinct cell states respond to perturbation, disease, and evolution.
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            Spatial reconstruction of single-cell gene expression

            Spatial localization is a key determinant of cellular fate and behavior, but spatial RNA assays traditionally rely on staining for a limited number of RNA species. In contrast, single-cell RNA-seq allows for deep profiling of cellular gene expression, but established methods separate cells from their native spatial context. Here we present Seurat, a computational strategy to infer cellular localization by integrating single-cell RNA-seq data with in situ RNA patterns. We applied Seurat to spatially map 851 single cells from dissociated zebrafish (Danio rerio) embryos, inferring a transcriptome-wide map of spatial patterning. We confirmed Seurat’s accuracy using several experimental approaches, and used it to identify a set of archetypal expression patterns and spatial markers. Additionally, Seurat correctly localizes rare subpopulations, accurately mapping both spatially restricted and scattered groups. Seurat will be applicable to mapping cellular localization within complex patterned tissues in diverse systems.
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              Origin and physiological roles of inflammation.

              Inflammation underlies a wide variety of physiological and pathological processes. Although the pathological aspects of many types of inflammation are well appreciated, their physiological functions are mostly unknown. The classic instigators of inflammation - infection and tissue injury - are at one end of a large range of adverse conditions that induce inflammation, and they trigger the recruitment of leukocytes and plasma proteins to the affected tissue site. Tissue stress or malfunction similarly induces an adaptive response, which is referred to here as para-inflammation. This response relies mainly on tissue-resident macrophages and is intermediate between the basal homeostatic state and a classic inflammatory response. Para-inflammation is probably responsible for the chronic inflammatory conditions that are associated with modern human diseases.
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                Author and article information

                Contributors
                hao.jin@NIH.gov
                cz2195@columbia.edu
                Journal
                Nature
                Nature
                Nature
                Nature Publishing Group UK (London )
                0028-0836
                1476-4687
                1 May 2024
                1 May 2024
                2024
                : 630
                : 8017
                : 695-703
                Affiliations
                [1 ]GRID grid.21729.3f, ISNI 0000000419368729, Zuckerman Mind Brain Behavior Institute, Howard Hughes Medical Institute, , Columbia University, ; New York, NY USA
                [2 ]Department of Neuroscience, Vagelos College of Physicians and Surgeons, Columbia University, ( https://ror.org/00hj8s172) New York, NY USA
                [3 ]Department of Biochemistry and Molecular Biophysics, Columbia University, ( https://ror.org/00hj8s172) New York, NY USA
                [4 ]GRID grid.48336.3a, ISNI 0000 0004 1936 8075, Center for Cancer Research, , National Cancer Institute, ; Bethesda, MD USA
                [5 ]Present Address: Laboratory of Host Immunity and Microbiome, National Institute of Allergy and Infectious Diseases, ( https://ror.org/043z4tv69) Bethesda, MD USA
                Author information
                http://orcid.org/0009-0006-1435-3685
                http://orcid.org/0000-0001-6967-7237
                http://orcid.org/0000-0002-5201-8718
                Article
                7469
                10.1038/s41586-024-07469-y
                11186780
                38692285
                24780a38-b0fe-4392-9c95-c1f92d0cdeb8
                © The Author(s) 2024

                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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 14 June 2023
                : 23 April 2024
                Categories
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                © Springer Nature Limited 2024

                Uncategorized
                neural circuits,molecular neuroscience
                Uncategorized
                neural circuits, molecular neuroscience

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