Analysis of Reciprocally Dysregulated miRNAs in Eutopic Endometrium Is a Promising Approach for Low Invasive Diagnostics of Adenomyosis.
Evgeny BorisovMargarita KniazevaVeronika NovakLidia ZabeginaTatyana PrisyazhnayaAleksey KarizkiyIgor BerlevAnastasia MalekPublished in: Diagnostics (Basel, Switzerland) (2020)
Endometriosis is a chronic disease characterized by the growth of endometrial tissue outside of the uterine cavity. Endometriosis affects up to 10% of women of reproductive age and has great social impact. The diagnostics of endometriosis are based on clinical appearance, ultrasound, and magnetic resonance imaging (MRI); however, a diagnosis is frequently hampered by the absence of objective criteria. Adenomyosis (AM) is a particular type of endometriosis wherein the spread of the ectopic endometrial gland is limited by the uterine myometrium. Alteration of the microRNA expression profile in the eutopic endometrium can be associated with AM, and may be assayed for diagnostic purposes. In the presented study, we aimed to explore the diagnostic potency of this approach. Eutopic endometrium specimens were collected from patients (n = 33) and healthy women (n = 30). The microRNA expression was profiled to select individual microRNAs with AM-associated expression alterations. A new method of two-tailed RT-qPCR microRNA analysis was applied to assay potential markers. The expression ratios of reciprocally dysregulated microRNAs were calculated, and the diagnostic potency of these parameters was evaluated by receiver operation curve (ROC) analysis. Mir-10b, miR-200c and miR-191 were significantly dysregulated in the eutopic endometrium of AM patients. The expression ratio of reciprocally dysregulated microRNAs allowed us to diagnose AM with a range of sensitivity from 65% to 74%, and of specificity from 72% to 86%. The analysis of microRNAs from the eutopic endometrium might present a promising low-invasive method of AM diagnostics.
Keyphrases
- poor prognosis
- magnetic resonance imaging
- long non coding rna
- end stage renal disease
- newly diagnosed
- cell proliferation
- ejection fraction
- chronic kidney disease
- type diabetes
- polycystic ovary syndrome
- computed tomography
- high throughput
- adipose tissue
- magnetic resonance
- long noncoding rna
- skeletal muscle
- climate change
- ultrasound guided
- patient reported
- fine needle aspiration