Diagnostic and Predictive Value of Circulating and Exosomal microRNAs in Ferroptosis-Associated Neurological Conditions: A Systematic Review and Meta-analysis.
Mol NeurobiolSep 7, 2026 (epub)
Yashaswi Sharma, Arpana Parihar, Arya J Mohan et al.
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In 30 seconds
This systematic review and meta-analysis evaluated the diagnostic and predictive value of circulating and exosomal microRNAs (miRNAs) in ferroptosis-associated neurological conditions. Analyzing data from 7 studies, the pooled Area-under-the-Curve (AUC) for diagnostic accuracy was 0.87 (95% CI, 0.79-0.94). The study suggests a significant association between miRNA levels and clinical severity scales.
Key findings
- Pooled diagnostic AUC for miRNAs was 0.87 (95% CI, 0.79-0.94).
- Exploratory pooled correlation coefficient for miRNA levels and clinical severity was 0.67 (95% CI: 0.56-0.76).
- Analysis included 7 clinical cohorts, with 5 studies in quantitative meta-analysis.
- Selected miRNAs were linked to ferroptosis-associated regulators like SLC7A11 and ABCB8.
Why it matters
The findings suggest that circulating and exosomal miRNAs could serve as non-invasive biomarkers for diagnosing and predicting outcomes in neurological conditions associated with ferroptosis, potentially guiding clinical decision-making.