MicroRNA in dried blood spots from patients with Aagenaes syndrome and evaluation of pre-analytical and analytical factors.

Background: Circulatory miRNAs are promising biomarkers. The feasibility of using miRNA from dried blood spots (DBS) was investigated using newborn screening cards from patients with cholestasis-lymphedema syndrome (Aagenaes syndrome) and controls.

Methods: Total amount of miRNA and specific miRNAs from DBS were analyzed. miRNA was also obtained from newborn screening cards in patients with cholestasis-lymphedema syndrome/Aagenaes syndrome and in healthy newborns.

Results: No differences in miRNA concentrations were found between multispotted samples and samples with one single drop of blood and between central and peripheral punches. Ten repeated freeze-thaw cycles did not significantly change miRNA levels from controls. miR-299 (1.73-fold change, p = 0.034) and miR-365 (1.46-fold change, p = 0.011) were upregulated and miR-30c (0.72-fold change, p = 0.0037), miR-652 (0.85-fold change, p = 0.025), and miR-744 (0.72-fold change, p = 0.0069) were downregulated in patients with Aagenaes syndrome at birth compared to controls.

Conclusions: miRNAs were not affected by multispotting or punch location and were stable throughout repeated freeze-thaw cycles. miRNA in dried blood spots could be used to detect differential expression of miRNA in newborns with Aagenaes syndrome and healthy controls in newborn screening cards. Dried blood spots may be a useful source to explore circulating miRNA as biomarkers.

Impact: Circulating miRNAs can be useful biomarkers. miRNAs from dried blood spots were not affected by multispotting or punch location and were stable throughout repeated freeze-thaw cycles. Discrimination between patients and controls are allowed even with few individuals. Early after birth, patients with cholestasis-lymphedema syndrome exhibit miRNA profiles associated with liver fibrosis. This study demonstrated that newborn screening cards may be a useful source for studying miRNA as the technical variability is smaller than biological variation.