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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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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