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Title: | Development of Microbiome Biomarkers in Intervention Studies | Authors: | OWOKOTOMO, Olajumoke Evangelina SENGUPTA, Rudradev SHKEDY, Ziv |
Issue Date: | 2023 | Publisher: | OXFORD UNIV PRESS | Source: | JOURNAL OF APPLIED MICROBIOLOGY, 134 (3) (Art N° lxac052) | Abstract: | Aims There has been an increased interest in studying the association between microbial communities and different diseases and in discovering microbiome biomarkers. This association is pivotal to discover such biomarkers. In this paper, we present a unified modelling approach that can be used to detect and develop microbiome biomarkers for different clinical responses of interest at different levels of the microbiome ecosystem. Methods and results We extended the methodology rooted in the information theory and joint modelling approaches for the evaluation of surrogate endpoints in randomized clinical trials to the high-dimensional microbiome setting. The unified modelling approach introduced in this paper allows for detecting biomarkers associated with a clinical response of interest, adjusting for the intervention applied to the subjects. For some microbiome features, the association is driven by the treatment, while for others, the association reflects the correlation between the microbiome biomarker and the clinical response of interest. Conclusions The results have demonstrated that biomarkers can be identified at different levels of the microbiome phylogenetic tree using various measures as biomarkers. | Notes: | Owokotomo, OE (corresponding author), Univ Hasselt, Data Sci Inst, Ctr Stat, B-3590 Diepenbeek, Belgium. olajumoke.owokotomo@uhasselt.be |
Keywords: | biomarkers;information theory;joint modelling;microbiome data | Document URI: | http://hdl.handle.net/1942/39947 | ISSN: | 1364-5072 | e-ISSN: | 1365-2672 | DOI: | 10.1093/jambio/lxac052 | ISI #: | 000945681900001 | Rights: | The Author(s) 2022. Published by Oxford University Press on behalf of Applied Microbiology International. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com | Category: | A1 | Type: | Journal Contribution |
Appears in Collections: | Research publications |
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