scholarly journals Using systems medicine to identify a therapeutic agent with potential for repurposing in Inflammatory Bowel Disease

2019 ◽  
Author(s):  
Katie Lloyd ◽  
Stamatia Papoutsopoulou ◽  
Emily Smith ◽  
Philip Stegmaier ◽  
Francois Bergey ◽  
...  

AbstractObjectiveInflammatory bowel diseases cause significant morbidity and mortality. Aberrant NF-κB signalling is strongly associated with these conditions, and several established drugs influence the NF-κB signalling network to exert their effect. This study aimed to identify drugs which alter NF-κB signalling and may be repositioned for use in inflammatory bowel disease.DesignThe SysmedIBD consortium established a novel drug-repurposing pipeline based on a combination of in-silico drug discovery and biological assays targeted at demonstrating an impact on NF-kappaB signalling, and a murine model of IBD.ResultsThe drug discovery algorithm identified several drugs already established in IBD, including corticosteroids. The highest-ranked drug was the macrolide antibiotic Clarithromycin, which has previously been reported to have anti-inflammatory effects in aseptic conditions.Clarithromycin’s effects were validated in several experiments: it influenced NF-κB mediated transcription in murine peritoneal macrophages and intestinal enteroids; it suppressed NF-κB protein shuttling in murine reporter enteroids; it suppressed NF-κB (p65) DNA binding in the small intestine of mice exposed to LPS, and it reduced the severity of dextran sulphate sodium-induced colitis in C57BL/6 mice. Clarithromycin also suppressed NF-κB (p65) nuclear translocation in human intestinal enteroids.ConclusionsThese findings demonstrate that in-silico drug repositioning algorithms can viably be allied to laboratory validation assays in the context of inflammatory bowel disease; and that further clinical assessment of clarithromycin in the management of inflammatory bowel disease is required.

2020 ◽  
Vol 13 (11) ◽  
pp. dmm044040 ◽  
Author(s):  
Katie Lloyd ◽  
Stamatia Papoutsopoulou ◽  
Emily Smith ◽  
Philip Stegmaier ◽  
Francois Bergey ◽  
...  

ABSTRACTInflammatory bowel diseases (IBDs) cause significant morbidity and mortality. Aberrant NF-κB signalling is strongly associated with these conditions, and several established drugs influence the NF-κB signalling network to exert their effect. This study aimed to identify drugs that alter NF-κB signalling and could be repositioned for use in IBD. The SysmedIBD Consortium established a novel drug-repurposing pipeline based on a combination of in silico drug discovery and biological assays targeted at demonstrating an impact on NF-κB signalling, and a murine model of IBD. The drug discovery algorithm identified several drugs already established in IBD, including corticosteroids. The highest-ranked drug was the macrolide antibiotic clarithromycin, which has previously been reported to have anti-inflammatory effects in aseptic conditions. The effects of clarithromycin effects were validated in several experiments: it influenced NF-κB-mediated transcription in murine peritoneal macrophages and intestinal enteroids; it suppressed NF-κB protein shuttling in murine reporter enteroids; it suppressed NF-κB (p65) DNA binding in the small intestine of mice exposed to lipopolysaccharide; and it reduced the severity of dextran sulphate sodium-induced colitis in C57BL/6 mice. Clarithromycin also suppressed NF-κB (p65) nuclear translocation in human intestinal enteroids. These findings demonstrate that in silico drug repositioning algorithms can viably be allied to laboratory validation assays in the context of IBD, and that further clinical assessment of clarithromycin in the management of IBD is required.This article has an associated First Person interview with the joint first authors of the paper.


2013 ◽  
Vol 144 (5) ◽  
pp. S-470 ◽  
Author(s):  
Orazio Palmieri ◽  
Teresa M. Creanza ◽  
Giuseppe Corritore ◽  
Tiziana Latiano ◽  
Nello Buccianti ◽  
...  

2017 ◽  
Vol 19 (4) ◽  
pp. 1136-1147 ◽  
Author(s):  
Jessica Wojciechowski ◽  
Richard N. Upton ◽  
Diane R. Mould ◽  
Michael D. Wiese ◽  
David J. R. Foster

2016 ◽  
Vol 36 (suppl_1) ◽  
Author(s):  
Ikjae Shin ◽  
Jong Hak Won ◽  
Kyung Ae Ko ◽  
Ji-Hyun Shin ◽  
Elena McBeath ◽  
...  

Rationale: Major chronic inflammatory diseases including inflammatory bowel disease and psoriasis are clinically associated with accelerated atherosclerosis and increased risk of cardiovascular diseases (CVD). Atherosclerosis has long been recognized as an inflammatory process, which is initiated by the inflammation and dysfunction of endothelial cells (ECs). Genome-wide association study (GWAS) has identified a significant association between the deletion in ADAMTS9-MAGI1 locus with inflammatory bowel disease and psoriasis, suggesting a potential involvement of MAGI1 in EC inflammation and its associated events. Objective: To investigate the role and regulatory mechanism of MAGI1 as well as MAGI1 post-translational modification in EC inflammation, after various pro-atherogenic stimuli. Methods and Results: MAGI1 depletion significantly inhibits NF-κB activation and adhesion molecule expression induced by various pro-atherogenic stimuli in both in vitro and in vivo . We show that p90RSK associates with MAGI1 WW and PDZ2 domain, which is a crucial step for EC inflammation. In addition, p90RSK activation independently regulates MAGI1 S741 phosphorylation and K931 de-SUMOylation. While MAGI1 S741 phosphorylation is vital for Rap1 and subsequent NF-kB activation via increasing MAGI1-RAPGEF2 interaction, MAGI1 de-SUMOylation induces p90RSK-MAGI1 nuclear translocation as well as nuclear SENP2 T368 and ERK5 S496 phosphorylation. Those events are critical for EC inflammation. In addition, in partial carotid ligation mouse model, we observed a reduction in size of disturbed flow-induced carotid plaque lesion in Magi1 +/- / Ldlr -/- mice compared to that in Magi1 +/+ / Ldlr -/- mice fed with high fat diet, indicating the crucial role of MAGI1 in regulating EC inflammation and atherosclerosis formation. Conclusion: These data show the essential role of MAGI1 in regulating EC inflammation, and suggest that phosphorylation and de-SUMOylation of MAGI1 induced by p90RSK activation have distinctive mechanisms, leading to EC inflammation.


2021 ◽  
Vol 17 (2) ◽  
pp. e1008631
Author(s):  
Lichy Han ◽  
Zahra N. Sayyid ◽  
Russ B. Altman

For many prevalent complex diseases, treatment regimens are frequently ineffective. For example, despite multiple available immunomodulators and immunosuppressants, inflammatory bowel disease (IBD) remains difficult to treat. Heterogeneity in the disease across patients makes it challenging to select the optimal treatment regimens, and some patients do not respond to any of the existing treatment choices. Drug repurposing strategies for IBD have had limited clinical success and have not typically offered individualized patient-level treatment recommendations. In this work, we present NetPTP, a Network-based Personalized Treatment Prediction framework which models measured drug effects from gene expression data and applies them to patient samples to generate personalized ranked treatment lists. To accomplish this, we combine publicly available network, drug target, and drug effect data to generate treatment rankings using patient data. These ranked lists can then be used to prioritize existing treatments and discover new therapies for individual patients. We demonstrate how NetPTP captures and models drug effects, and we apply our framework to individual IBD samples to provide novel insights into IBD treatment.


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