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MicroRNAs in chronic glomerulonephritis: Promising biomarkers for diagnosis and prognosis estimation
Author(s) -
Elena S. Kamyshova,
Irina Bobkova
Publication year - 2017
Publication title -
terapevtičeskij arhiv
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.181
H-Index - 14
eISSN - 2309-5342
pISSN - 0040-3660
DOI - 10.17116/terarkh201789689-96
Subject(s) - microrna , medicine , pathological , disease , glomerulonephritis , bioinformatics , computational biology , gene , pathology , biology , genetics , kidney
The review presents the results of recent experimental and clinical studies of the expression pattern of a number of miRNAs, a recently described new class of noncoding RNAS that are able to regulate the posttranscriptional expression of genes and thus to modulate several physiological and pathological processes in different morphological types of chronic glomerulonephritis. It considers the possibilities of using miRNAs as new biomarkers to diagnose the disease, to predict its course and a response to therapy.

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