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The Interplay between Transcriptional Factors and MicroRNAs as an Important Factor for Th17/Treg Balance in RA Patients
MicroRNAs regulate gene expression of transcriptional factors, which influence Th17/Treg (regulatory T cells) balance, establishing the molecular mechanism of genetic and epigenetic regulation of Treg and Th17 cells is crucial for understanding rheumatoid arthritis (RA) pathogenesis. The study goal...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7583886/ https://www.ncbi.nlm.nih.gov/pubmed/32998457 http://dx.doi.org/10.3390/ijms21197169 |
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author | Kmiołek, Tomasz Rzeszotarska, Ewa Wajda, Anna Walczuk, Ewa Kuca-Warnawin, Ewa Romanowska-Próchnicka, Katarzyna Stypinska, Barbara Majewski, Dominik Jagodzinski, Pawel Piotr Pawlik, Andrzej Paradowska-Gorycka, Agnieszka |
author_facet | Kmiołek, Tomasz Rzeszotarska, Ewa Wajda, Anna Walczuk, Ewa Kuca-Warnawin, Ewa Romanowska-Próchnicka, Katarzyna Stypinska, Barbara Majewski, Dominik Jagodzinski, Pawel Piotr Pawlik, Andrzej Paradowska-Gorycka, Agnieszka |
author_sort | Kmiołek, Tomasz |
collection | PubMed |
description | MicroRNAs regulate gene expression of transcriptional factors, which influence Th17/Treg (regulatory T cells) balance, establishing the molecular mechanism of genetic and epigenetic regulation of Treg and Th17 cells is crucial for understanding rheumatoid arthritis (RA) pathogenesis. The study goal was to understand the potential impact of the selected microRNAs expression profiles on Treg/Th17 cells frequency, RA phenotype, the expression profile of selected microRNAs, and their correlation with the expression profiles of selected transcriptional factors: SOCS1, SMAD3, SMAD4, STAT3, STAT5 in RA; we used osteoarthritis (OA) and healthy controls (HCs) as controls. The study was conducted on 14 RA and 11 OA patients, and 15 HCs. Treg/Th17 frequency was established by flow cytometry. Gene expression analysis was estimated by qPCR. We noticed correlations in RA Th17 cells between miR-26 and SMAD3, STAT3, SOCS1; and miR-155 and STAT3—and in RA Treg cells between miR-26 and SOCS1; miR-31, -155 and SMAD3; and miR-155 and SMAD4. In RA Tregs, we found a negative correlation between miR-26, -126 and STAT5a. The expression level of miR-31 in Th17 cells from RA patients with DAS28 ≤ 5.1 is higher and that for miR-24 is greater in Tregs from patients with DAS28 > 5.1. MiR-146a in Tregs is higher in rheumatoid factor (RF) positive RA patients. |
format | Online Article Text |
id | pubmed-7583886 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75838862020-10-29 The Interplay between Transcriptional Factors and MicroRNAs as an Important Factor for Th17/Treg Balance in RA Patients Kmiołek, Tomasz Rzeszotarska, Ewa Wajda, Anna Walczuk, Ewa Kuca-Warnawin, Ewa Romanowska-Próchnicka, Katarzyna Stypinska, Barbara Majewski, Dominik Jagodzinski, Pawel Piotr Pawlik, Andrzej Paradowska-Gorycka, Agnieszka Int J Mol Sci Article MicroRNAs regulate gene expression of transcriptional factors, which influence Th17/Treg (regulatory T cells) balance, establishing the molecular mechanism of genetic and epigenetic regulation of Treg and Th17 cells is crucial for understanding rheumatoid arthritis (RA) pathogenesis. The study goal was to understand the potential impact of the selected microRNAs expression profiles on Treg/Th17 cells frequency, RA phenotype, the expression profile of selected microRNAs, and their correlation with the expression profiles of selected transcriptional factors: SOCS1, SMAD3, SMAD4, STAT3, STAT5 in RA; we used osteoarthritis (OA) and healthy controls (HCs) as controls. The study was conducted on 14 RA and 11 OA patients, and 15 HCs. Treg/Th17 frequency was established by flow cytometry. Gene expression analysis was estimated by qPCR. We noticed correlations in RA Th17 cells between miR-26 and SMAD3, STAT3, SOCS1; and miR-155 and STAT3—and in RA Treg cells between miR-26 and SOCS1; miR-31, -155 and SMAD3; and miR-155 and SMAD4. In RA Tregs, we found a negative correlation between miR-26, -126 and STAT5a. The expression level of miR-31 in Th17 cells from RA patients with DAS28 ≤ 5.1 is higher and that for miR-24 is greater in Tregs from patients with DAS28 > 5.1. MiR-146a in Tregs is higher in rheumatoid factor (RF) positive RA patients. MDPI 2020-09-28 /pmc/articles/PMC7583886/ /pubmed/32998457 http://dx.doi.org/10.3390/ijms21197169 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kmiołek, Tomasz Rzeszotarska, Ewa Wajda, Anna Walczuk, Ewa Kuca-Warnawin, Ewa Romanowska-Próchnicka, Katarzyna Stypinska, Barbara Majewski, Dominik Jagodzinski, Pawel Piotr Pawlik, Andrzej Paradowska-Gorycka, Agnieszka The Interplay between Transcriptional Factors and MicroRNAs as an Important Factor for Th17/Treg Balance in RA Patients |
title | The Interplay between Transcriptional Factors and MicroRNAs as an Important Factor for Th17/Treg Balance in RA Patients |
title_full | The Interplay between Transcriptional Factors and MicroRNAs as an Important Factor for Th17/Treg Balance in RA Patients |
title_fullStr | The Interplay between Transcriptional Factors and MicroRNAs as an Important Factor for Th17/Treg Balance in RA Patients |
title_full_unstemmed | The Interplay between Transcriptional Factors and MicroRNAs as an Important Factor for Th17/Treg Balance in RA Patients |
title_short | The Interplay between Transcriptional Factors and MicroRNAs as an Important Factor for Th17/Treg Balance in RA Patients |
title_sort | interplay between transcriptional factors and micrornas as an important factor for th17/treg balance in ra patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7583886/ https://www.ncbi.nlm.nih.gov/pubmed/32998457 http://dx.doi.org/10.3390/ijms21197169 |
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