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. 2022 Jun 6;13:871008. doi: 10.3389/fimmu.2022.871008

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Copyright © 2022 Hu, Ni, Zhao, Qian and Duan

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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Immune characteristics between two different immune patterns. (A) Immune cell content stacking plot between cluster A and cluster B: different colors indicate different immune cells; the horizontal axis is the patient ID. (B) Immune cell content histogram: the horizontal axis indicates 22 immune cells; the vertical axis indicates cell content; pink indicates cluster A samples; green indicates cluster B samples. (C) Immune cell content histogram: the horizontal axis indicates 22 immune cells; the vertical axis indicates the cell content; pink indicates cluster A samples; green indicates cluster B samples. Correlations between 12 immune cells that significantly differed between cluster A and cluster B patients in the limma algorithm: correlations in cluster A patient species (C); correlations in cluster B patient species (D); red indicates negative correlations; blue indicates positive correlations. Correlations in all arthritis patients. Correlation analysis of 16 gene signatures and immune cell content in all arthritis patients (E), cluster A arthritis patients (F) and cluster B arthritis patients (G), horizontal axis indicates immune cells, vertical axis indicates 16 gene signatures, node color indicates the correlation size, and node size indicates the significance level. (?:no data, nsP≥0.05, **P<0.01, ***P<0.001).