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. 2022 Nov 19;19:277. doi: 10.1186/s12974-022-02635-3

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© The Author(s) 2022

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 5 — Ly-6C^hi cell content is an excellent biomarker to predict responsiveness to fingolimod in EAE mice. A ROC curve analysis showing that Ly-6C^hi cell content presented the highest discriminatory ability for responder and non-responder EAE mice classified using the median of maximum clinical score, the % recovery or the residual score. B Cut-off value for the Ly-6C^hicells/total blood cells to predict good responsiveness to fingolimod. C–F The level of Ly-6C^hi cells could not discriminate between responder and non-responder EAE-FTY720 mice based on the median of the total accumulated clinical score (C, D) or the recovery index (E, F). AUC area under the curve (N = 18 mice)