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      Repurposed Analog of GLP-1 Ameliorates Hyperglycemia in Type 1 Diabetic Mice Through Pancreatic Cell Reprogramming

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          Abstract

          Type 1 diabetes is an autoimmune disease caused by the destruction of the insulin-producing β-cells. An ideal immunotherapy should combine the blockade of the autoimmune response with the recovery of functional target cell mass. With the aim to develop new therapies for type 1 diabetes that could contribute to β-cell mass restoration, a drug repositioning analysis based on systems biology was performed to identify the β-cell regenerative potential of commercially available compounds. Drug repositioning is a strategy used for identifying new uses for approved drugs that are outside the scope of the medical indication. A list of 28 non-synonymous repurposed drug candidates was obtained, and 16 were selected as diabetes mellitus type 1 treatment candidates regarding pancreatic β-cell regeneration. Drugs with poor safety profile were further filtered out. Lastly, we selected liraglutide for its predictive efficacy values for neogenesis, transdifferentiation of α-cells, and/or replication of pre-existing β-cells. Liraglutide is an analog of glucagon-like peptide-1, a drug used in patients with type 2 diabetes. Liraglutide was tested in immunodeficient NOD- Scid IL2rg −/− (NSG) mice with type 1 diabetes. Liraglutide significantly improved the blood glucose levels in diabetic NSG mice. During the treatment, a significant increase in β-cell mass was observed due to a boost in β-cell number. Both parameters were reduced after withdrawal. Interestingly, islet bihormonal glucagon +insulin + cells and insulin + ductal cells arose during treatment. In vitro experiments showed an increase of insulin and glucagon gene expression in islets cultured with liraglutide in normoglycemia conditions. These results point to β-cell replacement, including transdifferentiation and neogenesis, as aiding factors and support the role of liraglutide in β-cell mass restoration in type 1 diabetes. Understanding the mechanism of action of this drug could have potential clinical relevance in this autoimmune disease.

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          Most cited references35

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          Beta cells can be generated from endogenous progenitors in injured adult mouse pancreas.

          Novel strategies in diabetes therapy would obviously benefit from the use of beta (beta) cell stem/progenitor cells. However, whether or not adult beta cell progenitors exist is one of the most controversial issues in today's diabetes research. Guided by the expression of Neurogenin 3 (Ngn3), the earliest islet cell-specific transcription factor in embryonic development, we show that beta cell progenitors can be activated in injured adult mouse pancreas and are located in the ductal lining. Differentiation of the adult progenitors is Ngn3 dependent and gives rise to all islet cell types, including glucose responsive beta cells that subsequently proliferate, both in situ and when cultured in embryonic pancreas explants. Multipotent progenitor cells thus exist in the pancreas of adult mice and can be activated cell autonomously to increase the functional beta cell mass by differentiation and proliferation rather than by self-duplication of pre-existing beta cells only.
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            Exendin-4 stimulates both beta-cell replication and neogenesis, resulting in increased beta-cell mass and improved glucose tolerance in diabetic rats.

            Diabetes is a disease of increasing prevalence in the general population and of unknown cause. Diabetes is manifested as hyperglycemia due to a relative deficiency of the production of insulin by the pancreatic beta-cells. One determinant in the development of diabetes is an inadequate mass of beta-cells, either absolute (type 1, juvenile diabetes) or relative (type 2, maturity-onset diabetes). Earlier, we reported that the intestinal hormone glucagon-like peptide I (GLP-I) effectively augments glucose-stimulated insulin secretion. Here we report that exendin-4, a long-acting GLP-I agonist, stimulates both the differentiation of beta-cells from ductal progenitor cells (neogenesis) and proliferation of beta-cells when administered to rats. In a partial pancreatectomy rat model of type 2 diabetes, the daily administration of exendin-4 for 10 days post-pancreatectomy attenuates the development of diabetes. We show that exendin-4 stimulates the regeneration of the pancreas and expansion of beta-cell mass by processes of both neogenesis and proliferation of beta-cells. Thus, GLP-I and analogs thereof hold promise as a novel therapy to stimulate beta-cell growth and differentiation when administered to diabetic individuals with reduced beta-cell mass.
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              TRRUST: a reference database of human transcriptional regulatory interactions

              The reconstruction of transcriptional regulatory networks (TRNs) is a long-standing challenge in human genetics. Numerous computational methods have been developed to infer regulatory interactions between human transcriptional factors (TFs) and target genes from high-throughput data, and their performance evaluation requires gold-standard interactions. Here we present a database of literature-curated human TF-target interactions, TRRUST (transcriptional regulatory relationships unravelled by sentence-based text-mining, http://www.grnpedia.org/trrust), which currently contains 8,015 interactions between 748 TF genes and 1,975 non-TF genes. A sentence-based text-mining approach was employed for efficient manual curation of regulatory interactions from approximately 20 million Medline abstracts. To the best of our knowledge, TRRUST is the largest publicly available database of literature-curated human TF-target interactions to date. TRRUST also has several useful features: i) information about the mode-of-regulation; ii) tests for target modularity of a query TF; iii) tests for TF cooperativity of a query target; iv) inferences about cooperating TFs of a query TF; and v) prioritizing associated pathways and diseases with a query TF. We observed high enrichment of TF-target pairs in TRRUST for top-scored interactions inferred from high-throughput data, which suggests that TRRUST provides a reliable benchmark for the computational reconstruction of human TRNs.
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                Author and article information

                Contributors
                Journal
                Front Endocrinol (Lausanne)
                Front Endocrinol (Lausanne)
                Front. Endocrinol.
                Frontiers in Endocrinology
                Frontiers Media S.A.
                1664-2392
                13 May 2020
                2020
                : 11
                : 258
                Affiliations
                [1] 1Immunology Section, Germans Trias i Pujol Research Institute, Autonomous University of Barcelona , Badalona, Spain
                [2] 2Endocrinology Section, Germans Trias i Pujol Research Institute, Autonomous University of Barcelona , Badalona, Spain
                [3] 3Anaxomics Biotech SL , Barcelona, Spain
                [4] 4Catalan Institute of Nanoscience and Nanotechnology, CSIC and The Barcelona Institute of Science and Technology , Bellaterra, Spain
                [5] 5Immunology Unit, Department of Experimental Medicine, Faculty of Medicine, IRBLleida, University of Lleida , Lleida, Spain
                [6] 6CIBER of Diabetes and Associated Metabolic Disease (CIBERDEM), ISCIII , Madrid, Spain
                Author notes

                Edited by: Simona Chera, University of Bergen, Norway

                Reviewed by: Quan Zhang, University of Oxford, United Kingdom; Anabel Rojas, Andalusian Center of Molecular Biology and Regenerative Medicine (CABIMER), Spain

                *Correspondence: Marta Vives-Pi mvives@ 123456igtp.cat

                This article was submitted to Cellular Endocrinology, a section of the journal Frontiers in Endocrinology

                †ORCID: Marta Vives-Pi http://orcid.org/0000-0003-3735-0779

                Article
                10.3389/fendo.2020.00258
                7237704
                32477262
                160aa101-9b6c-4a48-be4f-9f6fd9e9d36a
                Copyright © 2020 Villalba, Rodriguez-Fernandez, Perna-Barrull, Ampudia, Gomez-Muñoz, Pujol-Autonell, Aguilera, Coma, Cano-Sarabia, Vázquez, Verdaguer and Vives-Pi.

                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
                : 13 January 2020
                : 07 April 2020
                Page count
                Figures: 7, Tables: 0, Equations: 0, References: 51, Pages: 14, Words: 7954
                Funding
                Funded by: Fundació la Marató de TV3 10.13039/100008666
                Funded by: Agència de Gestió d'Ajuts Universitaris i de Recerca 10.13039/501100003030
                Categories
                Endocrinology
                Original Research

                Endocrinology & Diabetes
                beta cell regeneration,neogenesis,transdifferentiation,liraglutide,drug repositioning

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