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Perspectives for systems biology in the management of tuberculosis

Standardised management of tuberculosis may soon be replaced by individualised, precision medicine-guided therapies informed with knowledge provided by the field of systems biology. Systems biology is a rapidly expanding field of computational and mathematical analysis and modelling of complex biolo...

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Autores principales: Kontsevaya, Irina, Lange, Christoph, Comella-del-Barrio, Patricia, Coarfa, Cristian, DiNardo, Andrew R., Gillespie, Stephen H., Hauptmann, Matthias, Leschczyk, Christoph, Mandalakas, Anna M., Martinecz, Antal, Merker, Matthias, Niemann, Stefan, Reimann, Maja, Rzhepishevska, Olena, Schaible, Ulrich E., Scheu, Katrin M., Schurr, Erwin, Abel zur Wiesch, Pia, Heyckendorf, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Respiratory Society 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9488731/
https://www.ncbi.nlm.nih.gov/pubmed/34039674
http://dx.doi.org/10.1183/16000617.0377-2020
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author Kontsevaya, Irina
Lange, Christoph
Comella-del-Barrio, Patricia
Coarfa, Cristian
DiNardo, Andrew R.
Gillespie, Stephen H.
Hauptmann, Matthias
Leschczyk, Christoph
Mandalakas, Anna M.
Martinecz, Antal
Merker, Matthias
Niemann, Stefan
Reimann, Maja
Rzhepishevska, Olena
Schaible, Ulrich E.
Scheu, Katrin M.
Schurr, Erwin
Abel zur Wiesch, Pia
Heyckendorf, Jan
author_facet Kontsevaya, Irina
Lange, Christoph
Comella-del-Barrio, Patricia
Coarfa, Cristian
DiNardo, Andrew R.
Gillespie, Stephen H.
Hauptmann, Matthias
Leschczyk, Christoph
Mandalakas, Anna M.
Martinecz, Antal
Merker, Matthias
Niemann, Stefan
Reimann, Maja
Rzhepishevska, Olena
Schaible, Ulrich E.
Scheu, Katrin M.
Schurr, Erwin
Abel zur Wiesch, Pia
Heyckendorf, Jan
author_sort Kontsevaya, Irina
collection PubMed
description Standardised management of tuberculosis may soon be replaced by individualised, precision medicine-guided therapies informed with knowledge provided by the field of systems biology. Systems biology is a rapidly expanding field of computational and mathematical analysis and modelling of complex biological systems that can provide insights into mechanisms underlying tuberculosis, identify novel biomarkers, and help to optimise prevention, diagnosis and treatment of disease. These advances are critically important in the context of the evolving epidemic of drug-resistant tuberculosis. Here, we review the available evidence on the role of systems biology approaches – human and mycobacterial genomics and transcriptomics, proteomics, lipidomics/metabolomics, immunophenotyping, systems pharmacology and gut microbiomes – in the management of tuberculosis including prediction of risk for disease progression, severity of mycobacterial virulence and drug resistance, adverse events, comorbidities, response to therapy and treatment outcomes. Application of the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approach demonstrated that at present most of the studies provide “very low” certainty of evidence for answering clinically relevant questions. Further studies in large prospective cohorts of patients, including randomised clinical trials, are necessary to assess the applicability of the findings in tuberculosis prevention and more efficient clinical management of patients.
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spelling pubmed-94887312022-11-14 Perspectives for systems biology in the management of tuberculosis Kontsevaya, Irina Lange, Christoph Comella-del-Barrio, Patricia Coarfa, Cristian DiNardo, Andrew R. Gillespie, Stephen H. Hauptmann, Matthias Leschczyk, Christoph Mandalakas, Anna M. Martinecz, Antal Merker, Matthias Niemann, Stefan Reimann, Maja Rzhepishevska, Olena Schaible, Ulrich E. Scheu, Katrin M. Schurr, Erwin Abel zur Wiesch, Pia Heyckendorf, Jan Eur Respir Rev Reviews Standardised management of tuberculosis may soon be replaced by individualised, precision medicine-guided therapies informed with knowledge provided by the field of systems biology. Systems biology is a rapidly expanding field of computational and mathematical analysis and modelling of complex biological systems that can provide insights into mechanisms underlying tuberculosis, identify novel biomarkers, and help to optimise prevention, diagnosis and treatment of disease. These advances are critically important in the context of the evolving epidemic of drug-resistant tuberculosis. Here, we review the available evidence on the role of systems biology approaches – human and mycobacterial genomics and transcriptomics, proteomics, lipidomics/metabolomics, immunophenotyping, systems pharmacology and gut microbiomes – in the management of tuberculosis including prediction of risk for disease progression, severity of mycobacterial virulence and drug resistance, adverse events, comorbidities, response to therapy and treatment outcomes. Application of the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approach demonstrated that at present most of the studies provide “very low” certainty of evidence for answering clinically relevant questions. Further studies in large prospective cohorts of patients, including randomised clinical trials, are necessary to assess the applicability of the findings in tuberculosis prevention and more efficient clinical management of patients. European Respiratory Society 2021-05-26 /pmc/articles/PMC9488731/ /pubmed/34039674 http://dx.doi.org/10.1183/16000617.0377-2020 Text en Copyright ©The authors 2021 https://creativecommons.org/licenses/by-nc/4.0/This version is distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0. For commercial reproduction rights and permissions contact permissions@ersnet.org (mailto:permissions@ersnet.org)
spellingShingle Reviews
Kontsevaya, Irina
Lange, Christoph
Comella-del-Barrio, Patricia
Coarfa, Cristian
DiNardo, Andrew R.
Gillespie, Stephen H.
Hauptmann, Matthias
Leschczyk, Christoph
Mandalakas, Anna M.
Martinecz, Antal
Merker, Matthias
Niemann, Stefan
Reimann, Maja
Rzhepishevska, Olena
Schaible, Ulrich E.
Scheu, Katrin M.
Schurr, Erwin
Abel zur Wiesch, Pia
Heyckendorf, Jan
Perspectives for systems biology in the management of tuberculosis
title Perspectives for systems biology in the management of tuberculosis
title_full Perspectives for systems biology in the management of tuberculosis
title_fullStr Perspectives for systems biology in the management of tuberculosis
title_full_unstemmed Perspectives for systems biology in the management of tuberculosis
title_short Perspectives for systems biology in the management of tuberculosis
title_sort perspectives for systems biology in the management of tuberculosis
topic Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9488731/
https://www.ncbi.nlm.nih.gov/pubmed/34039674
http://dx.doi.org/10.1183/16000617.0377-2020
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