MiRNA-186 as a Biomarker of Disease Exacerbation in Rheumatoid Arthritis: Insights from Clinical Data and Molecular Marker Analysis

Rheumatoid arthritis (RA) is a chronic, systemic autoimmune disease characterized by inflammation of the synovial tissue, leading to joint destruction, pain, stiffness, and progressive impairment of motor functions. Despite significant advances in diagnosis and treatment, RA remains a major clinical and social challenge, negatively impacting patients' quality of life. The aim of this study was to assess the relationship between the expression of selected microRNAs (miRNAs) and the activity of the disease. A total of 46 RA patients and 20 healthy controls (HCs) were enrolled in the study. A quantitative real-time polymerase chain reaction was used to evaluate the expression of miRNAs in whole blood. MiRNA-186 exhibited decreased concentrations in RA patients compared to HCs (<i>p</i> = 0.03). Patients with an active form of the disease (DAS28 > 3.2) exhibited lower expression of miRNA-186 than HCs (<i>p</i> = 0.04). Additionally, ACPA-negative patients also demonstrated reduced miRNA-186 expression compared to controls. AUC analysis confirmed that the combination of miRNA-186, the erythrocyte sedimentation rate (ESR), and Visual Analog Scale-Patient Global Assessment (VAS PGA) may be effective in identifying RA exacerbation. The combination of classical laboratory markers, clinical data, and molecular markers enhances the ability to assess RA exacerbation. MiRNA-186 may be considered a potential marker of disease activity in RA.

Authors

Institutions

Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-08-20
DOI
https://doi.org/10.3390/ijms26168039
Citations
1
Primary Topic
MicroRNA in disease regulation
Type
article
Field-Weighted Citation Impact
0.94
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MiRNA-186 as a Biomarker of Disease Exacerbation in Rheumatoid Arthritis: Insights from Clinical Data and Molecular Marker Analysis

Bogdan Kolarz, Marek Cieśla, Dorota Darmochwał-Kolarz, Hubert Kubis
1 citations
International Journal of Molecular Sciences
MicroRNA in disease regulation
0.94
article

MiRNA-186 as a Biomarker of Disease Exacerbation in Rheumatoid Arthritis: Insights from Clinical Data and Molecular Marker Analysis

Bogdan Kolarz, Marek Cieśla, Dorota Darmochwał-Kolarz, Hubert Kubis
article en
1 citations

Abstract

Rheumatoid arthritis (RA) is a chronic, systemic autoimmune disease characterized by inflammation of the synovial tissue, leading to joint destruction, pain, stiffness, and progressive impairment of motor functions. Despite significant advances in diagnosis and treatment, RA remains a major clinical and social challenge, negatively impacting patients' quality of life. The aim of this study was to assess the relationship between the expression of selected microRNAs (miRNAs) and the activity of the disease. A total of 46 RA patients and 20 healthy controls (HCs) were enrolled in the study. A quantitative real-time polymerase chain reaction was used to evaluate the expression of miRNAs in whole blood. MiRNA-186 exhibited decreased concentrations in RA patients compared to HCs (<i>p</i> = 0.03). Patients with an active form of the disease (DAS28 > 3.2) exhibited lower expression of miRNA-186 than HCs (<i>p</i> = 0.04). Additionally, ACPA-negative patients also demonstrated reduced miRNA-186 expression compared to controls. AUC analysis confirmed that the combination of miRNA-186, the erythrocyte sedimentation rate (ESR), and Visual Analog Scale-Patient Global Assessment (VAS PGA) may be effective in identifying RA exacerbation. The combination of classical laboratory markers, clinical data, and molecular markers enhances the ability to assess RA exacerbation. MiRNA-186 may be considered a potential marker of disease activity in RA.

International Journal of Molecular SciencesVol. 26(16)
University of Rzeszów (PL)
Openalex Percentile: Top 21%
MicroRNA in disease regulation
0.94
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.