Temporal changes in circulating miRNAs following gestational diabetes diagnosis: a pilot longitudinal study

Area of Science:

• Biochemistry
• Genetics
• Obstetrics

Background:

• No reliable early predictive biomarkers for gestational diabetes mellitus (GDM) currently exist.
• Candidate biomarkers often fluctuate during pregnancy, complicating early detection.
• Previous studies identified potential miRNA biomarkers in early pregnancy, but lacked longitudinal data.

Purpose of the Study:

• To longitudinally evaluate the expression patterns of ten candidate microRNAs (miRNAs) previously identified as potential early predictors of GDM.
• To assess the dynamic changes of these miRNAs throughout pregnancy in women with and without GDM.

Main Methods:

• A longitudinal pilot study involving 18 women with GDM and 18 healthy controls.
• Blood samples collected at four time points: GDM diagnosis, 28 weeks, 32 weeks, and one day before delivery.
• Quantification of four placenta-specific C19MC miRNAs and six non-C19MC miRNAs using relative expression levels.

Main Results:

• Four C19MC miRNAs (miRNA-519d-5p, miRNA-512-3p, miRNA-516a-5p, miRNA-517-5p) showed significantly increased expression in GDM pregnancies at diagnosis, 28 weeks, and before delivery.
• Non-C19MC miRNA-221-3p levels were significantly decreased across all time points in GDM.
• Other non-C19MC miRNAs exhibited varied expression patterns, with some decreasing and one (miRNA-143-3p) showing an initial increase followed by a decline.

Conclusions:

• The study supports the predictive potential of specific C19MC miRNAs (miRNA-512-3p, miRNA-516a-5p, miRNA-517-5p) and non-C19MC miRNA-221-3p for GDM.
• Longitudinal monitoring of these miRNAs may offer a more reliable approach to early GDM prediction.
• Further research with larger cohorts is warranted to validate these findings.