Frontiers in Reproductive Health (Apr 2024)

Plasma microRNA expression in adolescents and young adults with endometriosis: the importance of hormone use

  • Paula Brady,
  • Abdelrahman Yousif,
  • Naoko Sasamoto,
  • Naoko Sasamoto,
  • Allison F. Vitonis,
  • Allison F. Vitonis,
  • Wojciech Fendler,
  • Konrad Stawiski,
  • Mark D. Hornstein,
  • Mark D. Hornstein,
  • Kathryn L. Terry,
  • Kathryn L. Terry,
  • Kathryn L. Terry,
  • Kevin M. Elias,
  • Stacey A. Missmer,
  • Stacey A. Missmer,
  • Stacey A. Missmer,
  • Stacey A. Missmer,
  • Amy L. Shafrir,
  • Amy L. Shafrir,
  • Amy L. Shafrir

DOI
https://doi.org/10.3389/frph.2024.1360417
Journal volume & issue
Vol. 6

Abstract

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IntroductionPrior studies have investigated the diagnostic potential of microRNA (miRNA) expression profiles for endometriosis. However, the vast majority of previous studies have only included adult women. Therefore, we sought to investigate differential expression of miRNAs among adolescents and young adults with endometriosis.MethodsThe Women's Health Study: from Adolescence to Adulthood (A2A) is an ongoing WERF EPHect compliant longitudinal cohort. Our analysis included 64 patients with surgically-confirmed endometriosis (96% rASRM stage I/II) and 118 females never diagnosed with endometriosis frequency matched on age (median = 21 years) and hormone use at blood draw. MicroRNA measurement was separated into discovery (10 cases and 10 controls) and internal replication (54 cases and 108 controls) phases. The levels of 754 plasma miRNAs were assayed in the discovery phase using PCR with rigorous internal control measures, with the relative expression of miRNA among cases vs. controls calculated using the 2−ΔΔCt method. miRNAs that were significant in univariate analyses stratified by hormone use were included in the internal replication phase. The internal replication phase was split 2:1 into a training and testing set and utilized FirePlex miRNA assay to assess 63 miRNAs in neural network analyses. The testing set of the validation phase was utilized to calculate the area under the curve (AUC) of the best fit models from the training set including hormone use as a covariate.ResultsIn the discovery phase, 49 miRNAs were differentially expressed between endometriosis cases and controls. The associations of the 49 miRNAs differed by hormone use at the time of blood draw. Neural network analysis in the testing set of the internal replication phase determined a final model comprising 5 miRNAs (miR-542-3p, let-7b-3p, miR-548i, miR-769-5p, miR-30c-1-3p), yielding AUC = 0.77 (95% CI: 0.67–0.87, p < 0.001). Sensitivity in the testing dataset improved (83.3% vs. 72.2%) while the specificity decreased (58.3% vs. 72.2%) compared to the training set.ConclusionThe results suggest that miR-542-3p, let-7b-3p, miR-548i, miR-769-5p, miR-30c-1-3p may be dysregulated among adolescent and young adults with endometriosis. Hormone use was a significant modifier of miRNA dysregulation and should be considered rigorously in miRNA diagnostic studies.

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