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An Adoptive Transfer Model of Rheumatoid Arthritis in Mice
Published on: June 6, 2025
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Non-Coding RNAs in Rheumatoid Arthritis: Implications for Biomarker Discovery
Julio Enrique Castañeda-Delgado1,2, Noé Macias-Segura3, Cesar Ramos-Remus4
1Unidad de Investigación Biomédica de Zacatecas, Instituto Mexicano del Seguro Social, Zacatecas 98000, Mexico.
Non-Coding RNA
|June 23, 2022
Summary
Advances in gene expression analysis reveal microRNAs (miRNAs) crucial in early rheumatoid arthritis (RA) and treatment response. These RNA biomarkers offer potential for preclinical detection and monitoring.
Area of Science:
- Molecular Biology
- Immunology
- Genetics
Background:
- Inflammatory responses, particularly in rheumatoid arthritis (RA), are complex and increasingly understood through advanced gene expression analysis.
- Genetic and epigenetic factors significantly contribute to the inflammatory state in RA.
- MicroRNAs (miRNAs) have been identified as key players in early RA pathogenesis and treatment response.
Purpose of the Study:
- To summarize current RNA-based biomarker discovery for RA.
- To discuss the impact of technology adoption, including during the COVID-19 pandemic, on biomarker research.
- To highlight the potential clinical applications of RNA biomarkers in RA.
Main Methods:
- Review of recent advances in gene expression analysis technologies (microarrays, qPCR arrays, next-generation sequencing).
- Characterization of gene expression profiles in early RA patients.
- Identification of disease-specific and treatment-response-associated miRNAs.
Main Results:
- Gene expression profiling has elucidated the complexity of inflammatory responses in RA.
- Specific miRNAs are abundant in early RA stages and correlate with treatment outcomes.
- Technological advancements have accelerated RNA-based biomarker discovery.
Conclusions:
- RNA-based biomarkers hold significant promise for preclinical RA detection and disease monitoring.
- These biomarkers can aid in identifying treatment targets and assessing treatment response.
- The integration of advanced technologies enhances the potential for clinical translation of RA biomarkers.
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