An update on endometriosis biomarkers.


Journal

Minerva obstetrics and gynecology
ISSN: 2724-6450
Titre abrégé: Minerva Obstet Gynecol
Pays: Italy
ID NLM: 101777346

Informations de publication

Date de publication:
10 Apr 2024
Historique:
medline: 11 4 2024
pubmed: 11 4 2024
entrez: 11 4 2024
Statut: aheadofprint

Résumé

Endometriosis is a debilitating gynecologic disorder characterized by chronic pelvic pain, pelvic adhesions and infertility. The gold standard diagnostic modality is histologically by tissue biopsy, although it can be diagnosed empirically if symptoms improve with medical treatment. A delayed diagnosis of endometriosis often leads to a significant impairment in quality of life and work productivity; hence, significant morbidity has been shown to bear a detrimental impact on society and the economy. The ongoing novel investigation into biomarkers for diagnostic or prognostic evaluation of endometriosis may aid in earlier detection, and thereby, improve patient quality-of-life as well as minimize morbidity. Currently, no single biomarker has been validated for endometriosis; however, there are emerging data on the utility of microRNA for diagnosis and prognosis of disease activity. In this brief review, we will identify and categorize the novel biomarkers for endometriosis.

Identifiants

pubmed: 38602013
pii: S2724-606X.23.05369-1
doi: 10.23736/S2724-606X.23.05369-1
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Kyle N LE (KN)

Cooper University Hospital, Camden, NJ, USA - le-kyle@cooperhealth.edu.

Camran Nezhat (C)

Camran Nezhat Institute, Minimally Invasive & Robotic Surgery, Redwood, CA, USA.

Ceana Nezhat (C)

Atlanta Center for Minimally Invasive Surgery & Reproductive Medicine, Atlanta, GA, USA.

Ariel Benor (A)

Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.

Alan Decherney (A)

Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.

Classifications MeSH