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Dataset Information

Salivary MicroRNA Signature for Diagnosis of Endometriosis.


ABSTRACT:

Background

Endometriosis diagnosis constitutes a considerable economic burden for the healthcare system with diagnostic tools often inconclusive with insufficient accuracy. We sought to analyze the human miRNAome to define a saliva-based diagnostic miRNA signature for endometriosis.

Methods

We performed a prospective ENDO-miRNA study involving 200 saliva samples obtained from 200 women with chronic pelvic pain suggestive of endometriosis collected between January and June 2021. The study consisted of two parts: (i) identification of a biomarker based on genome-wide miRNA expression profiling by small RNA sequencing using next-generation sequencing (NGS) and (ii) development of a saliva-based miRNA diagnostic signature according to expression and accuracy profiling using a Ra

SUBMITTER: Bendifallah S 

PROVIDER: S-EPMC8836532 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature