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      Human immune system adaptations to simulated microgravity revealed by single-cell mass cytometry

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          Abstract

          Exposure to microgravity (µG) during space flights produces a state of immunosuppression, leading to increased viral shedding, which could interfere with long term missions. However, the cellular mechanisms that underlie the immunosuppressive effects of µG are ill-defined. A deep understanding of human immune adaptations to µG is a necessary first step to design data-driven interventions aimed at preserving astronauts’ immune defense during short- and long-term spaceflights. We employed a high-dimensional mass cytometry approach to characterize over 250 cell-specific functional responses in 18 innate and adaptive immune cell subsets exposed to 1G or simulated (s)µG using the Rotating Wall Vessel. A statistically stringent elastic net method produced a multivariate model that accurately stratified immune responses observed in 1G and sµG ( p value 2E−4, cross-validation). Aspects of our analysis resonated with prior knowledge of human immune adaptations to µG, including the dampening of Natural Killer, CD4 + and CD8 + T cell responses. Remarkably, we found that sµG enhanced STAT5 signaling responses of immunosuppressive T regs. Our results suggest µG exerts a dual effect on the human immune system, simultaneously dampening cytotoxic responses while enhancing T reg function. Our study provides a single-cell readout of sµG-induced immune dysfunctions and an analytical framework for future studies of human immune adaptations to human long-term spaceflights.

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          Regularization and variable selection via the elastic net

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            The Elements of Statistical Learning

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              Regulation of type I interferon responses.

              Type I interferons (IFNs) activate intracellular antimicrobial programmes and influence the development of innate and adaptive immune responses. Canonical type I IFN signalling activates the Janus kinase (JAK)-signal transducer and activator of transcription (STAT) pathway, leading to transcription of IFN-stimulated genes (ISGs). Host, pathogen and environmental factors regulate the responses of cells to this signalling pathway and thus calibrate host defences while limiting tissue damage and preventing autoimmunity. Here, we summarize the signalling and epigenetic mechanisms that regulate type I IFN-induced STAT activation and ISG transcription and translation. These regulatory mechanisms determine the biological outcomes of type I IFN responses and whether pathogens are cleared effectively or chronic infection or autoimmune disease ensues.
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                Author and article information

                Contributors
                gbrice@stanford.edu
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                7 June 2021
                7 June 2021
                2021
                : 11
                : 11872
                Affiliations
                [1 ]GRID grid.410372.3, ISNI 0000 0004 0419 2775, Department of Medicine, Metabolism Division, , San Francisco Department of Veterans Affairs Medical Center, ; San Francisco, CA USA
                [2 ]GRID grid.266102.1, ISNI 0000 0001 2297 6811, Department of Medicine and Department of Surgery, , University of California, ; San Francisco, CA USA
                [3 ]GRID grid.168010.e, ISNI 0000000419368956, Department of Anesthesiology, Perioperative, and Pain Medicine, , Stanford University School of Medicine, ; 300 Pasteur Dr. Rm S238, Grant Bldg, Stanford, CA 94305 USA
                [4 ]GRID grid.168010.e, ISNI 0000000419368956, Department of Surgery, Plastic Surgery Division, , Stanford University School of Medicine, ; Stanford, CA 94305 USA
                [5 ]GRID grid.168010.e, ISNI 0000000419368956, Department of Biomedical Data Sciences, , Stanford University School of Medicine, ; Stanford, CA USA
                [6 ]GRID grid.168010.e, ISNI 0000000419368956, Department of Pediatrics, , Stanford University School of Medicine, ; Stanford, CA USA
                Article
                90458
                10.1038/s41598-021-90458-2
                8184772
                34099760
                bea055ed-ac63-4350-aa34-5979b1dc2783
                © The Author(s) 2021

                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
                : 17 February 2021
                : 11 May 2021
                Categories
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                © The Author(s) 2021

                Uncategorized
                experimental models of disease,aerospace engineering,immunology
                Uncategorized
                experimental models of disease, aerospace engineering, immunology

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