Integrating omics for a better understanding of Inflammatory Bowel Disease: a step towards personalized medicine

Abstract Background Inflammatory Bowel Disease (IBD) is a multifactorial chronic disease. Understanding only one aspect of IBD pathogenesis does not reflect the complex nature of IBD nor will it improve its clinical management. Therefore, it is vital to dissect the interactions between the different...

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Main Authors: Manoj Kumar, Mathieu Garand, Souhaila Al Khodor
Format: Article
Language:English
Published: BMC 2019-12-01
Series:Journal of Translational Medicine
Subjects:
Online Access:https://doi.org/10.1186/s12967-019-02174-1
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spelling doaj-e84992f119c143c5962f6ce01365e4342020-12-13T12:09:09ZengBMCJournal of Translational Medicine1479-58762019-12-0117111310.1186/s12967-019-02174-1Integrating omics for a better understanding of Inflammatory Bowel Disease: a step towards personalized medicineManoj Kumar0Mathieu Garand1Souhaila Al Khodor2Research Department, Sidra MedicineResearch Department, Sidra MedicineResearch Department, Sidra MedicineAbstract Background Inflammatory Bowel Disease (IBD) is a multifactorial chronic disease. Understanding only one aspect of IBD pathogenesis does not reflect the complex nature of IBD nor will it improve its clinical management. Therefore, it is vital to dissect the interactions between the different players in IBD pathogenesis in order to understand the biology of the disease and enhance its clinical outcomes. Aims To provide an overview of the available omics data used to assess the potential mechanisms through which various players are contributing to IBD pathogenesis and propose a precision medicine model to fill the current knowledge gap in IBD. Results Several studies have reported microbial dysbiosis, immune and metabolic dysregulation in IBD patients, however, this data is not sufficient to create signatures that can differentiate between the disease subtypes or between disease relapse and remission. Conclusions We summarized the current knowledge in the application of omics in IBD patients, and we showed that the current knowledge gap in IBD hinders the improvements of clinical decision for treatment as well as the prediction of disease relapse. We propose one way to fill this gap by implementing integrative analysis of various omics datasets generated from one patient at a single time point.https://doi.org/10.1186/s12967-019-02174-1Crohn’s diseaseUlcerative colitisMulti-omicsSystems biology
collection DOAJ
language English
format Article
sources DOAJ
author Manoj Kumar
Mathieu Garand
Souhaila Al Khodor
spellingShingle Manoj Kumar
Mathieu Garand
Souhaila Al Khodor
Integrating omics for a better understanding of Inflammatory Bowel Disease: a step towards personalized medicine
Journal of Translational Medicine
Crohn’s disease
Ulcerative colitis
Multi-omics
Systems biology
author_facet Manoj Kumar
Mathieu Garand
Souhaila Al Khodor
author_sort Manoj Kumar
title Integrating omics for a better understanding of Inflammatory Bowel Disease: a step towards personalized medicine
title_short Integrating omics for a better understanding of Inflammatory Bowel Disease: a step towards personalized medicine
title_full Integrating omics for a better understanding of Inflammatory Bowel Disease: a step towards personalized medicine
title_fullStr Integrating omics for a better understanding of Inflammatory Bowel Disease: a step towards personalized medicine
title_full_unstemmed Integrating omics for a better understanding of Inflammatory Bowel Disease: a step towards personalized medicine
title_sort integrating omics for a better understanding of inflammatory bowel disease: a step towards personalized medicine
publisher BMC
series Journal of Translational Medicine
issn 1479-5876
publishDate 2019-12-01
description Abstract Background Inflammatory Bowel Disease (IBD) is a multifactorial chronic disease. Understanding only one aspect of IBD pathogenesis does not reflect the complex nature of IBD nor will it improve its clinical management. Therefore, it is vital to dissect the interactions between the different players in IBD pathogenesis in order to understand the biology of the disease and enhance its clinical outcomes. Aims To provide an overview of the available omics data used to assess the potential mechanisms through which various players are contributing to IBD pathogenesis and propose a precision medicine model to fill the current knowledge gap in IBD. Results Several studies have reported microbial dysbiosis, immune and metabolic dysregulation in IBD patients, however, this data is not sufficient to create signatures that can differentiate between the disease subtypes or between disease relapse and remission. Conclusions We summarized the current knowledge in the application of omics in IBD patients, and we showed that the current knowledge gap in IBD hinders the improvements of clinical decision for treatment as well as the prediction of disease relapse. We propose one way to fill this gap by implementing integrative analysis of various omics datasets generated from one patient at a single time point.
topic Crohn’s disease
Ulcerative colitis
Multi-omics
Systems biology
url https://doi.org/10.1186/s12967-019-02174-1
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