Identification of key genes and pathways associated with sex differences in rheumatoid arthritis based on bioinformatics analysis
Author:
Funder
the Scientific Research Fund of Sichuan health and Health Committee
Publisher
Springer Science and Business Media LLC
Subject
General Medicine,Rheumatology
Link
https://link.springer.com/content/pdf/10.1007/s10067-022-06387-6.pdf
Reference25 articles.
1. England BR, Thiele GM, Anderson DR, Mikuls TR (2018) Increased cardiovascular risk in rheumatoid arthritis: mechanisms and implications. BMJ 361:k1036. https://doi.org/10.1136/bmj.k1036
2. Ngo ST, Steyn FJ, McCombe PA (2014) Gender differences in autoimmune disease. Front Neuroendocrinol 35:347–369. https://doi.org/10.1016/j.yfrne.2014.04.004
3. Zhou Y, Zhang C, Zhou Z et al (2022) Identification of key genes and pathways associated with PIEZO1 in bone-related disease based on bioinformatics. Int J Mol Sci 23:5250. https://doi.org/10.3390/ijms23095250
4. Zhou S, Lu H, Xiong M (2021) Identifying immune cell infiltration and effective diagnostic biomarkers in rheumatoid arthritis by bioinformatics analysis. Front Immunol 12:3291. https://doi.org/10.3389/fimmu.2021.726747
5. Yu C, Liu C, Jiang J et al (2020) Gender differences in rheumatoid arthritis: Interleukin-4 plays an important role. J Immunol Res 2020:1–12. https://doi.org/10.1155/2020/4121524
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