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. 2021 Aug 26;18:40. doi: 10.1186/s12987-021-00272-1

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© The Author(s) 2021

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. 1 — Graphical results of group comparisons and correlation analyses. Plots A-D illustrate comparisons of CSF cell count (A), CXCL13 levels (B), CXCR5+CD4 T cell numbers (C) and CXCR5+CD4 T cell frequencies (D) between ME (n = 29), NIMM (n = 22), and NIND (n = 6) subgroups. Association of CSF CXCL13 levels with CXCR5+CD4 T cell frequencies and the CSF/peripheral blood ratio of CXCR5+CD4 T cell frequencies of the total cohort (n = 57 and n = 49 respectively) are shown in plots E and F. ANOVA models were used for group comparisons (A, B) and Spearman’s Correlation Coefficient test for correlation analysis (E, F). Boxes visualize means with standard error of the mean (SE). Abbreviations: CSF, cerebrospinal fluid; ME, meningoencephalitis; NIMM, neuroimmunological disease; NIND, non-inflammatory neurological disease; PB, peripheral blood; * = p < 0.05; ** = p < 0.01