dc.contributor.author | Kontsevaya, Irina | |
dc.contributor.author | Lange, Christoph | |
dc.contributor.author | Comella-Del-barrio, Patricia | |
dc.contributor.author | Coarfa, Cristian | |
dc.contributor.author | Dinardo, Andrew R. | |
dc.contributor.author | Gillespie, Stephen H. | |
dc.contributor.author | Hauptmann, Matthias | |
dc.contributor.author | Leschczyk, Christoph | |
dc.contributor.author | Mandalakas, Anna M. | |
dc.contributor.author | Martinecz, Antal | |
dc.contributor.author | Merker, Matthias | |
dc.contributor.author | Niemann, Stefan | |
dc.contributor.author | Reimann, Maja | |
dc.contributor.author | Rzhepishevska, Olena | |
dc.contributor.author | Schaible, Ulrich E. | |
dc.contributor.author | Scheu, Katrin M. | |
dc.contributor.author | Schurr, Erwin | |
dc.contributor.author | Abel zur Wiesch, Pia | |
dc.contributor.author | Heyckendorf, Jan | |
dc.date.accessioned | 2022-03-07T12:17:56Z | |
dc.date.available | 2022-03-07T12:17:56Z | |
dc.date.issued | 2021-05-25 | |
dc.description.abstract | Standardised management of tuberculosis may soon be replaced by individualised, precision medicineguided 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. | en_US |
dc.identifier.citation | Kontsevaya, Lange, Comella-Del-barrio, Coarfa, Dinardo, Gillespie, Hauptmann, Leschczyk, Mandalakas, Martinecz, Merker, Niemann, Reimann, Rzhepishevska, Schaible, Scheu, Schurr, Abel zur Wiesch, Heyckendorf. Perspectives for systems biology in the management of tuberculosis. European Respiratory Review. 2021;30(160):1-16 | en_US |
dc.identifier.cristinID | FRIDAID 2003321 | |
dc.identifier.doi | 10.1183/16000617.0377-2020 | |
dc.identifier.issn | 0905-9180 | |
dc.identifier.issn | 1600-0617 | |
dc.identifier.uri | https://hdl.handle.net/10037/24300 | |
dc.language.iso | eng | en_US |
dc.publisher | European Respiratory Society | en_US |
dc.relation.journal | European Respiratory Review | |
dc.rights.accessRights | openAccess | en_US |
dc.rights.holder | Copyright 2021 The Author(s) | en_US |
dc.title | Perspectives for systems biology in the management of tuberculosis | en_US |
dc.type.version | publishedVersion | en_US |
dc.type | Journal article | en_US |
dc.type | Tidsskriftartikkel | en_US |
dc.type | Peer reviewed | en_US |