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. 2021 Jul 22;19:316. doi: 10.1186/s12967-021-02981-5

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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. 5 — The differential clinical characteristics and gene expression between cluster 1 and cluster 2. a The PCA was used to verify the two distinct subgroups divided by non-supervision consensus clustering analysis of m6A-related genes. b The total m6A-related gene expression differences of individual patient between clusters. c The correlation heatmap showed a significant association between clusters and MS subtypes. d The gene expression differences of each m6A-related gene between PMS patients and RRMS patients using the Mann–Whitney U test. (ALKBH5: RRMS vs. PMS = 6.378 ± 0.995 vs. 4.259 ± 1.000, p < 0.001; FTO: RRMS vs. PMS = 8.411 ± 1.153 vs. 6.172 ± 3.121, p < 0.001; HNRNPC: RRMS vs. PMS = 8.006 ± 1.277 vs. 4.897 ± 0.494, p < 0.001; KIAA1429: RRMS vs. PMS = 6.132 ± 1.322 vs. 4.494 ± 1.000, p < 0.001; METTL14: RRMS vs. PMS = 6.212 ± 1.026 vs. 4.805 ± 0.787, p < 0.001; METTL3: RRMS vs. PMS = 7.688 ± 2.088 vs. 4.267 ± 1.530, p < 0.001; RBM15: RRMS vs. PMS = 6.963 ± 1.186 vs. 4.477 ± 0.671, p < 0.001; WTAP: RRMS vs. PMS = 7.177 ± 1.119 vs. 4.810 ± 0.874, p < 0.001; YTHDC1: RRMS vs. PMS = 6.563 ± 1.085 vs. 5.167 ± 1.185, p < 0.001; YTHDC2: RRMS vs. PMS = 6.749 ± 0.944 vs. 4.533 ± 0.951, p < 0.001; YTHDF1: RRMS vs. PMS = 9.171 ± 2.812 vs. 3.223 ± 1.457, p < 0.001; YTHDF2: RRMS vs. PMS = 8.856 ± 2.558 vs. 3.445 ± 1.191, p < 0.001; ZC3H13: RRMS vs. PMS = 7.239 ± 1.191 vs. 5.413 ± 1.938, p < 0.001). e The gene expression differences of each m6A-related gene between SPMS patients and PPMS patients using the Mann–Whitney U test. (ALKBH5: SPMS vs. PPMS = 4.189 ± 0.737 vs. 4.346 ± 1.362, p = 0.687; FTO: SPMS vs. PPMS = 6.136 ± 3.202 vs. 6.217 ± 2.911, p = 0.947; HNRNPC: SPMS vs. PPMS = 6.136 ± 0.507 vs. 6.217 ± 0.467, p = 0.588; KIAA1429: SPMS vs. PPMS = 4.643 ± 0.823 vs. 4.311 ± 1.268, p = 0.391; METTL14: SPMS vs. PPMS = 4.815 ± 0.737 vs. 4.792 ± 0.852, p = 0.941; METTL3: SPMS vs. PPMS = 4.272 ± 1.501 vs. 4.260 ± 1.564, p = 0.984; RBM15: SPMS vs. PPMS = 4.551 ± 0.633 vs. 4.387 ± 0.700, p = 0.531; WTAP: SPMS vs. PPMS = 4.767 ± 0.821 vs. 4.862 ± 0.965, p = 0.779; YTHDC1: SPMS vs. PPMS = 5.189 ± 1.183 vs. 5.139 ± 1.187, p = 0.915; YTHDC2: SPMS vs. PPMS = 4.625 ± 0.974 vs. 4.421 ± 0.863, p = 0.583; YTHDF1: SPMS vs. PPMS = 3.062 ± 0.504 vs. 3.421 ± 2.311, p = 0.526; YTHDF2: SPMS vs. PPMS = 3.220 ± 0.890 vs. 3.721 ± 1.568, p = 0.276; ZC3H13: SPMS vs. PPMS = 5.228 ± 1.899 vs. 5.641 ± 1.993, p = 0.584). The significant levels were set at p < 0.05 (*), < 0.01 (**), and < 0.001 (***)