Why the study?
Interventions and their impact on gene expression play a significant role in treat-to-target techniques, but their overall effect in rheumatoid arthritis patients needed evaluation.
Do various therapeutic interventions alter gene expression profiles to predict treatment response in rheumatoid arthritis patients?
Do various therapeutic interventions alter gene expression profiles to predict treatment response in rheumatoid arthritis patients?
Harmonization of experimental and analytical methods is necessary before gene expression profiles can be effectively used for personalized medicine in rheumatoid arthritis.
Heterogeneous methods render gene-expression comparisons inconclusive in RA; harmonization required before clinical or research utility.
Rheumatoid arthritis (RA) is an autoimmune inflammatory disease with a poorly known aetiology. Although the primary characteristic of RA is inflammation, other biological systems are implicated in various phases of the disease. Interventions and their impact on gene expression in active RA patients is currently playing a significant role in the development of specific treat to target techniques. The present study aims toevaluate the effect of various reported interventions on gene expression in rheumatoid arthritis patients. Publicly available English databases, PubMed and Google Scholar, were queried from 2020 to 2023. We mined a total of 1970 research documents, of which 8 articles were selected based on the inclusion and exclusion criteria. The review analyzed therapeutics, including anti-TNF alpha-blockers, GM-CSF blockers, Chemokine receptor blockers and herbal Ginger in RA treatment and prediction of responders and non-responders based on gene expression analysis. However, due to the mixed-use of samples, experimental methodologies, analysis tools and genes studied in the studies, our comparison is inconclusive in determining effective therapy. The study highlights the necessity of harmonization in order for gene expression profiles to be effectively used as a clinical tool in RA patients' personalized medication.
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N et al. (2024) studied this question.
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