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World J Gastroenterol. Sep 7, 2020; 26(33): 4889-4899
Published online Sep 7, 2020. doi: 10.3748/wjg.v26.i33.4889
Treatment repurposing for inflammatory bowel disease using literature-related discovery and innovation
Ronald Neil Kostoff, Michael Brandon Briggs, Darla Roye Shores
Ronald Neil Kostoff, School of Public Policy, Georgia Institute of Technology, Gainesville, VA 20155, United States
Michael Brandon Briggs, Independent Consultant, Roscommon, MI 48653, United States
Darla Roye Shores, The Hopkins Resource for Intestinal Vitality and Enhancement, the Johns Hopkins University School of Medicine, Baltimore, MD 21287, United States
Author contributions: Kostoff RN contributed to this paper with conception, data analysis, and writing the manuscript; Briggs MB participated in data analysis, results validation, and figure and table development; Shores DR contributed to query development, background development, prioritization of results, and editing; all the authors approved the final version of the manuscript.
Conflict-of-interest statement: All authors have no conflicts of interest.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Corresponding author: Ronald Neil Kostoff, PhD, Research Affiliate, School of Public Policy, Georgia Institute of Technology, 13500 Tallyrand Way, Gainesville, VA 20155, United States. ronald.kostoff@pubpolicy.gatech.edu
Received: May 5, 2020
Peer-review started: May 5, 2020
First decision: May 15, 2020
Revised: May 21, 2020
Accepted: August 27, 2020
Article in press: August 27, 2020
Published online: September 7, 2020
Processing time: 121 Days and 9.5 Hours
Abstract

Inflammatory bowel disease (IBD) incidence has been increasing steadily, most dramatically in the Western developed countries. Treatment often includes lifelong immunosuppressive therapy and surgery. There is a critical need to reduce the burden of IBD and to discover medical therapies with better efficacy and fewer potential side-effects. Repurposing of treatments originally studied in other diseases with similar pathogenesis is less costly and time intensive than de novo drug discovery. This study used a treatment repurposing methodology, the literature-related discovery and innovation (LRDI) text mining system, to identify potential treatments (developed for non-IBD diseases) with sufficient promise for extrapolation to treatment of IBD. By searching for desirable patterns of twenty key biomarkers relevant to IBD (e.g., inflammation, reactive oxygen species, autophagy, barrier function), the LRDI-based query retrieved approximately 9500 records from Medline. The most recent 350 records were further analyzed for proof-of-concept. Approximately 18% (64/350) met the criteria for discovery (not previously studied in IBD human or animal models) and relevance for application to IBD treatment. Many of the treatments were compounds derived from herbal remedies, and the majority of treatments were being studied in cancer, diabetes, and central nervous system disease, such as depression and dementia. As further validation of the search strategy, the query identified ten treatments that have just recently begun testing in IBD models in the last three years. Literature-related discovery and innovation text mining contains a unique search strategy with tremendous potential to identify treatments for repurposing. A more comprehensive query with additional key biomarkers would have retrieved many thousands more records, further increasing the yield of IBD treatment repurposing discovery.

Keywords: Treatment repurposing; Treatment repositioning; Inflammatory bowel disease; Literature-based discovery; Text mining; Crohn’s disease; Ulcerative colitis; Novel treatments

Core tip: A text-mining approach was used to identify treatments from non-inflammatory bowel disease (IBD) diseases that could be extrapolated to treat IBD. Sixty-four treatment concepts were identified in different phases of development, ranging from laboratory research to clinical application. Many more were possible with a longer and well-resourced study. Ten of the non-IBD concepts that were excluded from being classified as discovery would have been classified as discovery if the study had been conducted in 2016. Thus, this approach has the capability to identify/predict many new areas of research for treating IBD.