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. 2021 Mar 4;12:574529. doi: 10.3389/fneur.2021.574529

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Copyright © 2021 Palacios, Hannoun, Flahive, Ward, Goostrey, Deb and Smith.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Longitudinal feature-wise analyses of change in MDS-UPDRS Part III in response to Levodopa. MaAsLin2 (Multivariate Association with Linear Models, Version 2: https://huttenhower.sph.harvard.edu/maaslin2), was fit to identify differentially abundant taxa associated with Levodopa use. The MaAsLin2 model was fit with data from all four time points, treating subject as a random effect, and adjusting for age, sex, and BMI. We used the default parameters in MaAsLin2 (https://github.com/biobakery/Maaslin2) .