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      Engineered E. coli Nissle 1917 for the delivery of matrix-tethered therapeutic domains to the gut

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          Abstract

          Mucosal healing plays a critical role in combatting the effects of inflammatory bowel disease, fistulae and ulcers. While most treatments for such diseases focus on systemically delivered anti-inflammatory drugs, often leading to detrimental side effects, mucosal healing agents that target the gut epithelium are underexplored. We genetically engineer Escherichia coli Nissle 1917 (EcN) to create fibrous matrices that promote gut epithelial integrity in situ. These matrices consist of curli nanofibers displaying trefoil factors (TFFs), known to promote intestinal barrier function and epithelial restitution. We confirm that engineered EcN can secrete the curli-fused TFFs in vitro and in vivo, and is non-pathogenic. We observe enhanced protective effects of engineered EcN against dextran sodium sulfate-induced colitis in mice, associated with mucosal healing and immunomodulation. This work lays a foundation for the development of a platform in which the in situ production of therapeutic protein matrices from beneficial bacteria can be exploited.

          Abstract

          Anti-inflammatory treatments for gastrointestinal diseases can often have detrimental side effects. Here the authors engineer E. coli Nissle 1917 to create a fibrous matrix that has a protective effect in DSS-induced colitis mice.

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          Most cited references68

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          A new mathematical model for relative quantification in real-time RT-PCR.

          M. Pfaffl (2001)
          Use of the real-time polymerase chain reaction (PCR) to amplify cDNA products reverse transcribed from mRNA is on the way to becoming a routine tool in molecular biology to study low abundance gene expression. Real-time PCR is easy to perform, provides the necessary accuracy and produces reliable as well as rapid quantification results. But accurate quantification of nucleic acids requires a reproducible methodology and an adequate mathematical model for data analysis. This study enters into the particular topics of the relative quantification in real-time RT-PCR of a target gene transcript in comparison to a reference gene transcript. Therefore, a new mathematical model is presented. The relative expression ratio is calculated only from the real-time PCR efficiencies and the crossing point deviation of an unknown sample versus a control. This model needs no calibration curve. Control levels were included in the model to standardise each reaction run with respect to RNA integrity, sample loading and inter-PCR variations. High accuracy and reproducibility (<2.5% variation) were reached in LightCycler PCR using the established mathematical model.
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            Regional specialization within the intestinal immune system.

            The intestine represents the largest compartment of the immune system. It is continually exposed to antigens and immunomodulatory agents from the diet and the commensal microbiota, and it is the port of entry for many clinically important pathogens. Intestinal immune processes are also increasingly implicated in controlling disease development elsewhere in the body. In this Review, we detail the anatomical and physiological distinctions that are observed in the small and large intestines, and we suggest how these may account for the diversity in the immune apparatus that is seen throughout the intestine. We describe how the distribution of innate, adaptive and innate-like immune cells varies in different segments of the intestine and discuss the environmental factors that may influence this. Finally, we consider the implications of regional immune specialization for inflammatory disease in the intestine.
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              Dextran sulfate sodium (DSS)-induced colitis in mice.

              Inflammatory bowel diseases (IBD), mainly comprising ulcerative colitis and Crohn's Disease, are complex and multifactorial diseases with unknown etiology. For the past 20 years, to study human IBD mechanistically, a number of murine models of colitis have been developed. These models are indispensable tools to decipher underlying mechanisms of IBD pathogenesis as well as to evaluate a number of potential therapeutics. Among various chemically induced colitis models, the dextran sulfate sodium (DSS)-induced colitis model is widely used because of its simplicity and many similarities with human ulcerative colitis. This model has both advantages and disadvantages that must be considered when employed. This protocol describes the DSS-induced colitis model, focusing on details and factors that could affect DSS-induced pathology.
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                Author and article information

                Contributors
                neel.joshi@wyss.harvard.edu
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                6 December 2019
                6 December 2019
                2019
                : 10
                : 5580
                Affiliations
                [1 ]ISNI 000000041936754X, GRID grid.38142.3c, Wyss Institute for Biologically Inspired Engineering, , Harvard University, ; Boston, MA USA
                [2 ]ISNI 000000041936754X, GRID grid.38142.3c, John A. Paulson School of Engineering and Applied Sciences, , Harvard University, ; Cambridge, MA USA
                [3 ]GRID grid.5963.9, Faculty of Biology, , Albert Ludwigs University of Freiburg, ; Freiburg im Breisgau, Germany
                [4 ]ISNI 0000 0004 0386 9924, GRID grid.32224.35, Department of Pathology, , Massachusetts General Hospital, ; Boston, MA USA
                Author information
                http://orcid.org/0000-0002-2514-4962
                http://orcid.org/0000-0002-1014-1929
                http://orcid.org/0000-0002-1659-9308
                http://orcid.org/0000-0001-8236-3566
                Article
                13336
                10.1038/s41467-019-13336-6
                6898321
                31811125
                bc86e047-193b-469f-a3c3-3b74a7b3bffa
                © The Author(s) 2019

                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
                : 17 September 2018
                : 29 October 2019
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000002, U.S. Department of Health & Human Services | National Institutes of Health (NIH);
                Award ID: 1R01DK110770
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2019

                Uncategorized
                biomaterials - proteins,synthetic biology,inflammatory bowel disease
                Uncategorized
                biomaterials - proteins, synthetic biology, inflammatory bowel disease

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