Investigation of Relationship Between Small Noncoding RNA (sncRNA) Expression Levels and Serum Iron, Copper, and Zinc Levels in Clinical Diagnosed Multiple Sclerosis Patients
Author:
Funder
TUBAP
Publisher
Springer Science and Business Media LLC
Subject
Neuroscience (miscellaneous),Cellular and Molecular Neuroscience,Neurology
Link
https://link.springer.com/content/pdf/10.1007/s12035-022-03135-4.pdf
Reference38 articles.
1. Angerstein C, Hecker M, Paap BK, Koczan D, Thamilarasan M, Thiesen HJ et al (2012) Integration of MicroRNA databases to study MicroRNAs associated with multiple sclerosis. Mol Neurobiol 45(3):520–535. https://doi.org/10.1007/s12035-012-8270-0
2. Hecker M, Fitzner B, Jäger K, Bühring J, Schwartz M, Hartmann A et al (2021) Leukocyte telomere length in patients with multiple sclerosis and its association with clinical phenotypes. Mol Neurobiol 58(6):2886–2896. https://doi.org/10.1007/s12035-021-02315-y
3. Nowak A, Wicik Z, Wolska M, Shahzadi A, Szwed P, Jarosz-Popek J et al (2022) The role of non-coding RNAs in neuroinflammatory process in multiple sclerosis. Mol Neurobiol 59(8):4651–4668. https://doi.org/10.1007/s12035-022-02854-y
4. Liu M, Hou X, Zhang P, Hao Y, Yang Y, Wu X et al (2013) Microarray gene expression profiling analysis combined with bioinformatics in multiple sclerosis. Mol Biol Rep 40(5):3731–3737
5. Keller A, Leidinger P, Lange J, Borries A, Schroers H, Scheffler M et al (2009) Multiple sclerosis: microRNA expression profiles accurately differentiate patients with relapsing-remitting disease from healthy controls. PLoS ONE 4(10):e7440
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