Published online Jul 15, 2026. doi: 10.4239/wjd.120779
Revised: April 2, 2026
Accepted: May 14, 2026
Published online: July 15, 2026
Processing time: 123 Days and 23.6 Hours
Circulating irisin, a myokine, has been inconsistently associated with prediabetes mellitus (PreDM), and its relationship with glucagon is unexplored. Methodological variability, particularly between different enzyme-linked immunosorbent assay (ELISA) kits, is hypothesized to be a primary source of these discrepancies. Therefore, we hypothesized that the reported irisin-PreDM association is critically confounded by assay methodology and inadequate adjustment for key metabolic factors.
To investigate circulating irisin in PreDM via a dual-study approach, evaluating methodological variability and metabolic confounders.
A dual-study design was employed: (1) A systematic review and meta-analysis of observational studies; and (2) A single-center, exploratory case-control study of 35 participants (9 PreDM, 26 controls) from a tertiary hospital. Irisin was measured with two commercial ELISA kits (ELK and Elabscience). Key analyses included random-effects meta-analysis, multiple linear regression, Spearman correlation, and Bland-Altman analysis for inter-assay agreement.
The meta-analysis (8 studies, n = 788) found significantly lower irisin in PreDM (standardized mean difference =
The irisin-PreDM relationship appears to be influenced by assay methodology and metabolic factors. Standardizing irisin measurement and adjusting for key confounders are important considerations for future research.
Core Tip: This study suggests that methodological variability between commercial enzyme-linked immunosorbent assay kits may contribute to the conflicting literature on circulating irisin in prediabetes, supported by poor inter-assay agreement in this cohort. After rigorously controlling for metabolic confounders, the observed association between prediabetes and irisin disappears, shifting the focus from irisin as a simple biomarker to the critical need for assay standardization and robust study design in future research.