Related Experiment Video
Updated: Jan 30, 2026

A Syngeneic Murine Model of Endometriosis using Naturally Cycling Mice
Published on: November 24, 2020
Urocortin Expression in Endometriosis: A Systematic Review.
Vasilios Pergialiotis1,2, Nikoletta Maria Tagkou1, Athina Tsimpiktsioglou1
1Laboratory of Experimental Surgery and Surgical Research N.S. Christeas, Athens, Greece.
Urocortin (UCN) levels are elevated in endometriosis patients, particularly with ovarian endometriomas, suggesting UCN as a potential biomarker for disease severity and diagnosis. Further research is needed to confirm its predictive accuracy.
Area of Science:
- Reproductive Medicine
- Endocrinology
- Biomarker Discovery
Background:
- Urocortin (UCN), a neuropeptide from the corticotrophin-releasing hormone family, is expressed in human endometria.
- Endometriosis research has increasingly focused on UCN expression in eutopic and ectopic tissues.
Purpose of the Study:
- To systematically review current evidence on UCN expression in tissue and blood samples from endometriosis patients.
- To evaluate UCN as a potential diagnostic biomarker for endometriosis.
Main Methods:
- Systematic literature search adhering to PRISMA guidelines across Medline, Scopus, EMBASE, and Clinicaltrials.gov (1966-2018).
- Inclusion of eight studies reporting on UCN expression in endometriosis.
- Analysis of diagnostic efficacy of UCN1 plasma levels from three studies.
Main Results:
- Evidence indicates increased UCN expression in patients with ovarian endometriomas.
- UCN levels may correlate with endometriosis disease severity.
- UCN1 plasma levels showed potential diagnostic sensitivity and specificity exceeding 80% in some studies.
Conclusions:
- Urocortin (UCN) shows promise as a biomarker for endometriosis identification and monitoring.
- Variations in study outcomes and reporting measures limit definitive conclusions.
- Further research is required to establish the predictive accuracy of UCN for endometriosis.
Related Concept Videos
Review and Preview
Percentiles are a type of fractile that partition data into...
Review and Preview
Random and Systematic Errors
Systematic Sampling Method
Systematic sampling is one of the simplest methods...
Propagation of Uncertainty from Systematic Error
Systematic Error: Methodological and Sampling Errors
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...

