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      Mechanisms of indigo naturalis on treating ulcerative colitis explored by GEO gene chips combined with network pharmacology and molecular docking

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          Abstract

          Oral administration of indigo naturalis (IN) can induce remission in ulcerative colitis (UC); however, the underlying mechanism remains unknown. The main active components and targets of IN were obtained by searching three traditional Chinese medicine network databases such as TCMSP and five Targets fishing databases such as PharmMapper. UC disease targets were obtained from three disease databases such as DrugBank,combined with four GEO gene chips. IN-UC targets were identified by matching the two. A protein–protein interaction network was constructed, and the core targets were screened according to the topological structure. GO and KEGG enrichment analysis and bioGPS localization were performed,and an Herbs-Components-Targets network, a Compound Targets-Organs location network, and a Core Targets-Signal Pathways network were established. Molecular docking technology was used to verify the main compounds-targets. Ten core active components and 184 compound targets of IN-UC, of which 43 were core targets, were enriched and analyzed by bioGPS, GO, and KEGG. The therapeutic effect of IN on UC may involve activation of systemic immunity, which is involved in the regulation of nuclear transcription, protein phosphorylation, cytokine activity, reactive oxygen metabolism, epithelial cell proliferation, and cell apoptosis through Th17 cell differentiation, the Jak-STAT and IL-17 signaling pathways, toll-like and NOD-like receptors, and other cellular and innate immune signaling pathways. The molecular mechanism underlying the effect of IN on inducing UC remission was predicted using a network pharmacology method, thereby providing a theoretical basis for further study of the effective components and mechanism of IN in the treatment of UC.

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          DisGeNET: a comprehensive platform integrating information on human disease-associated genes and variants

          The information about the genetic basis of human diseases lies at the heart of precision medicine and drug discovery. However, to realize its full potential to support these goals, several problems, such as fragmentation, heterogeneity, availability and different conceptualization of the data must be overcome. To provide the community with a resource free of these hurdles, we have developed DisGeNET (http://www.disgenet.org), one of the largest available collections of genes and variants involved in human diseases. DisGeNET integrates data from expert curated repositories, GWAS catalogues, animal models and the scientific literature. DisGeNET data are homogeneously annotated with controlled vocabularies and community-driven ontologies. Additionally, several original metrics are provided to assist the prioritization of genotype–phenotype relationships. The information is accessible through a web interface, a Cytoscape App, an RDF SPARQL endpoint, scripts in several programming languages and an R package. DisGeNET is a versatile platform that can be used for different research purposes including the investigation of the molecular underpinnings of specific human diseases and their comorbidities, the analysis of the properties of disease genes, the generation of hypothesis on drug therapeutic action and drug adverse effects, the validation of computationally predicted disease genes and the evaluation of text-mining methods performance.
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            Identification of a selective and direct NLRP3 inhibitor to treat inflammatory disorders

            Jiang et al. identify a selective and direct small-molecule inhibitor for NLRP3 and provide solid evidence showing that NLRP3 can be targeted in vivo to combat inflammasome-driven diseases.
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              TCMID 2.0: a comprehensive resource for TCM

              Abstract As a traditional medical intervention in Asia and a complementary and alternative medicine in western countries, Traditional Chinese Medicine (TCM) is capturing worldwide attention in life science field. Traditional Chinese Medicine Integrated Database (TCMID), which was originally launched in 2013, was a comprehensive database aiming at TCM’s modernization and standardization. It has been highly recognized among pharmacologists and scholars in TCM researches. The latest release, TCMID 2.0 (http://www.megabionet.org/tcmid/), replenished the preceding database with 18 203 herbal ingredients, 15 prescriptions, 82 related targets, 1356 drugs, 842 diseases and numerous new connections between them. Considering that chemical changes might take place in decocting process of prescriptions, which may result in new ingredients, new data containing the prescription ingredients was collected in current version. In addition, 778 herbal mass spectrometry (MS) spectra related to 170 herbs were appended to show the variation of herbal quality in different origin and distinguish genuine medicinal materials from common ones while 3895 MS spectra of 729 ingredients were added as the supplementary materials of component identification. With the significant increase of data, TCMID 2.0 will further facilitate TCM’s modernization and enhance the exploration of underlying biological processes that are response to the diverse pharmacologic actions of TCM.
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                Author and article information

                Contributors
                doudanbo@shutcm.edu.cn
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                16 September 2020
                16 September 2020
                2020
                : 10
                : 15204
                Affiliations
                [1 ]GRID grid.412585.f, ISNI 0000 0004 0604 8558, Traditional Chinese Medicine Department, , Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, ; 528 Zhang Heng Road, Pudong New area, Shanghai, 201203 China
                [2 ]GRID grid.412585.f, ISNI 0000 0004 0604 8558, Shi’s Center of Orthopedics and Traumatology, , Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, ; Shanghai, 201203 China
                [3 ]GRID grid.412585.f, ISNI 0000 0004 0604 8558, Digestive Endoscopy Center, , Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, ; Shanghai, 201203 China
                [4 ]GRID grid.412585.f, ISNI 0000 0004 0604 8558, Emergency Department, , Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, ; Shanghai, 201203 China
                Author information
                http://orcid.org/0000-0001-9645-3212
                http://orcid.org/0000-0001-7569-6549
                Article
                71030
                10.1038/s41598-020-71030-w
                7495487
                32938944
                01049e7b-34d2-432d-b1a0-64bf95a398a3
                © The Author(s) 2020

                Open AccessThis 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
                : 13 March 2020
                : 3 August 2020
                Funding
                Funded by: National Natural Science Foundation of China (No. 81804037); Shanghai Municipal Health and Family Planning Commission Clinical Special Project (No. 20184Y0047); and Shanghai "Rising Stars of Medical Talent" Youth Development Program No.HWJRS(2019)72
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                Uncategorized
                inflammatory bowel disease,high-throughput screening,network topology
                Uncategorized
                inflammatory bowel disease, high-throughput screening, network topology

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