Frontiers in immunology · 2026
Plasma miR-134-5p: a candidate biomarker for predicting non-response to anti-TNF therapy in rheumatoid arthritis.
СтатьяНаблюдательное исследованиеНазвание и аннотация: Перевод в очереди
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Mucientes Arkaitz, Lisbona-Montañez José Manuel, Ruiz-Limón Patricia, Bautista Rocío, Lozano-Peral Diego, Manrique-Arija Sara, García-Studer Aimara, Ortiz-Márquez Fernando, Mena-Vázquez Natalia, Fernández-Nebro Antonio
Аннотация
INTRODUCTION: Tumour necrosis factor inhibitors (anti-TNF agents) are a milestone in rheumatoid arthritis (RA) management, although 20-40% of RA patients do not achieve clinical remission. Identifying reliable biomarkers to predict the therapeutic response to anti-TNF agents remains an unmet clinical need.
METHODS: This study aimed to identify and validate plasma microRNAs (miRNAs) as biomarkers of response to anti-TNF treatment. A two-stage prospective observational (discovery and validation) study was performed. The study population comprised anti-TNF-naïve RA patients and sex- and age-matched healthy controls (HC). Whole miRNA expression was assessed using the Illumina NextSeq 550 platform, followed by bioinformatic analysis. Differentially expressed miRNAs identified in the discovery phase were quantified using real-time quantitative PCR in the validation cohort. Logistic regression analysis assessed associations between miRNA expression and response to anti-TNF treatment.
RESULTS: A total of 94 participants were included: 70 anti-TNF-naïve RA patients (discovery n = 28; validation n = 42) and 24 healthy controls (14 and 10, respectively). Clinical response at week 24 was defined as DAS28-CRP < 3.2 (responders) versus DAS28-CRP ≥ 3.2 (non-responders). Non-responders were characterised by higher inflammatory activity, poorer HAQ scores, and a higher prevalence of smoking. Forty-five miRNAs were differentially expressed between RA patients and HC, and 9 were expressed between responders and non-responders (p < 0.05). In the validation cohort, miR-134-5p differed between responders and non-responders (ΔCtResponders = 4.088(±1.266); ΔCtNon-Responders = 5.640(±2.872); ΔΔCtRespondersVsNon-Responders = -1.552; Fold-Change = 2.932; p = 0.024). Logistic regression adjusted for age and sex showed higher miR-134-5p expression to be associated with lack of response to anti-TNF therapy (OR, 1.74; 95% CI: 1.02-2.93; p = 0.039).
CONCLUSION: miR-134-5p may serve as a predictive biomarker of poor response to anti-TNF therapy in RA.
METHODS: This study aimed to identify and validate plasma microRNAs (miRNAs) as biomarkers of response to anti-TNF treatment. A two-stage prospective observational (discovery and validation) study was performed. The study population comprised anti-TNF-naïve RA patients and sex- and age-matched healthy controls (HC). Whole miRNA expression was assessed using the Illumina NextSeq 550 platform, followed by bioinformatic analysis. Differentially expressed miRNAs identified in the discovery phase were quantified using real-time quantitative PCR in the validation cohort. Logistic regression analysis assessed associations between miRNA expression and response to anti-TNF treatment.
RESULTS: A total of 94 participants were included: 70 anti-TNF-naïve RA patients (discovery n = 28; validation n = 42) and 24 healthy controls (14 and 10, respectively). Clinical response at week 24 was defined as DAS28-CRP < 3.2 (responders) versus DAS28-CRP ≥ 3.2 (non-responders). Non-responders were characterised by higher inflammatory activity, poorer HAQ scores, and a higher prevalence of smoking. Forty-five miRNAs were differentially expressed between RA patients and HC, and 9 were expressed between responders and non-responders (p < 0.05). In the validation cohort, miR-134-5p differed between responders and non-responders (ΔCtResponders = 4.088(±1.266); ΔCtNon-Responders = 5.640(±2.872); ΔΔCtRespondersVsNon-Responders = -1.552; Fold-Change = 2.932; p = 0.024). Logistic regression adjusted for age and sex showed higher miR-134-5p expression to be associated with lack of response to anti-TNF therapy (OR, 1.74; 95% CI: 1.02-2.93; p = 0.039).
CONCLUSION: miR-134-5p may serve as a predictive biomarker of poor response to anti-TNF therapy in RA.