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One Size Does Not Fit All: The Case for Translational Medicine

Therapy for inflammatory bowel diseases (IBD) has developed during recent years. Despite the availability of new therapeutic modalities, overall therapy success remains modest, and complete remission is usually achieved and maintained in approximately 30% of patients only. This observation can be ex...

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Autor principal: Chowers, Yehuda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Rambam Health Care Campus 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6474761/
https://www.ncbi.nlm.nih.gov/pubmed/30860477
http://dx.doi.org/10.5041/RMMJ.10364
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author Chowers, Yehuda
author_facet Chowers, Yehuda
author_sort Chowers, Yehuda
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description Therapy for inflammatory bowel diseases (IBD) has developed during recent years. Despite the availability of new therapeutic modalities, overall therapy success remains modest, and complete remission is usually achieved and maintained in approximately 30% of patients only. This observation can be explained by a number of reasons. First, the involvement of multiple genetic loci combined with differential environmental exposures suggests that IBD represent a continuum of disorders rather than distinct homogeneous disease entities. This diversity is translated into different disease course patterns, wherein some patients experience quiescent disease whereas others suffer from a relentless disease course. Hence, basic disease pathogenesis sets the stage for differential treatment responses. To date, IBD therapy is based on immunosuppression which does not take basic disease variability into account. Treatments are prescribed based on statistical considerations related to the response of the average patient in clinical trials rather than on personal considerations. Treatment outcomes can potentially be improved if physiologic considerations are integrated into the drug selection process. In one approach, drugs can be targeted at known patient dysfunctional processes such as in the case of patients carrying autophagy-related genetic polymorphisms being treated with rapamycin, a drug that inhibits mTOR inhibitor and enhances autophagy. Another alternative would be to use a systems approach to perform unsupervised, high-throughput screening in order to derive predictive treatment biomarkers and mechanistic insights associated with response to specific drug therapy. Additional predictive markers for drug safety are needed as well. Caveats and directions for needed future studies are outlined.
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spelling pubmed-64747612019-05-01 One Size Does Not Fit All: The Case for Translational Medicine Chowers, Yehuda Rambam Maimonides Med J Review Article Therapy for inflammatory bowel diseases (IBD) has developed during recent years. Despite the availability of new therapeutic modalities, overall therapy success remains modest, and complete remission is usually achieved and maintained in approximately 30% of patients only. This observation can be explained by a number of reasons. First, the involvement of multiple genetic loci combined with differential environmental exposures suggests that IBD represent a continuum of disorders rather than distinct homogeneous disease entities. This diversity is translated into different disease course patterns, wherein some patients experience quiescent disease whereas others suffer from a relentless disease course. Hence, basic disease pathogenesis sets the stage for differential treatment responses. To date, IBD therapy is based on immunosuppression which does not take basic disease variability into account. Treatments are prescribed based on statistical considerations related to the response of the average patient in clinical trials rather than on personal considerations. Treatment outcomes can potentially be improved if physiologic considerations are integrated into the drug selection process. In one approach, drugs can be targeted at known patient dysfunctional processes such as in the case of patients carrying autophagy-related genetic polymorphisms being treated with rapamycin, a drug that inhibits mTOR inhibitor and enhances autophagy. Another alternative would be to use a systems approach to perform unsupervised, high-throughput screening in order to derive predictive treatment biomarkers and mechanistic insights associated with response to specific drug therapy. Additional predictive markers for drug safety are needed as well. Caveats and directions for needed future studies are outlined. Rambam Health Care Campus 2019-04-18 /pmc/articles/PMC6474761/ /pubmed/30860477 http://dx.doi.org/10.5041/RMMJ.10364 Text en Copyright: © 2019 Yehuda Chowers. This is an open-access article. All its content, except where otherwise noted, is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Chowers, Yehuda
One Size Does Not Fit All: The Case for Translational Medicine
title One Size Does Not Fit All: The Case for Translational Medicine
title_full One Size Does Not Fit All: The Case for Translational Medicine
title_fullStr One Size Does Not Fit All: The Case for Translational Medicine
title_full_unstemmed One Size Does Not Fit All: The Case for Translational Medicine
title_short One Size Does Not Fit All: The Case for Translational Medicine
title_sort one size does not fit all: the case for translational medicine
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6474761/
https://www.ncbi.nlm.nih.gov/pubmed/30860477
http://dx.doi.org/10.5041/RMMJ.10364
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