Circulating microRNAs differentiate nociceptive and nociplastic pain: An exploratory study

Abstract

Background

Nociceptive and nociplastic pain arise from distinct biological mechanisms, yet their differentiation remains clinically challenging. Circulating microRNAs (miRNAs) are promising candidates for objective, mechanism-based pain classification.

Objective

To explore whether specific circulating miRNAs can differentiate nociceptive pain in patients with hip osteoarthritis (HO) from nociplastic pain in patients with chronic primary pain (CPP), and to assess their relationship with clinical and psychological outcomes.

Methods

In this exploratory, single-center study, plasma samples were collected from patients with HO (n = 13), CPP (n = 11), and healthy controls (n = 7). Microarray screening identified candidate miRNAs, which were validated via real-time PCR. Pain intensity (NRS), disability (PDAS), quality of life (EQ-5D), and psychological factors (PCS, PSEQ, TSK-11, PHQ-9) were assessed. Classification accuracy was evaluated using decision tree modeling and ROC analysis.

Results

Let-7a, miR-26a, and miR-16 showed distinct expression profiles and contributed to a predictive model with strong performance (R² = 0.677; AUC > 0.94). Let-7a expression was associated with structural joint changes in HO but not subjective pain ratings. MiR-26a correlated with cognitive-affective pain traits in CPP, and miR-16 decreased following CBT, suggesting a role in treatment-related neuroplasticity. MiR-126 and miR-146a were linked to reductions in pain intensity post-surgery in the HO group. QOL improved in HO, while psychological factors remained prominent in CPP.

Conclusions

This pilot study suggests that circulating miRNAs may aid in differentiating nociceptive and nociplastic pain mechanisms and tracking treatment effects. While preliminary, these findings support the potential utility of miRNA-based biomarkers in precision pain diagnostics and personalized management strategies.