Endometriosis is a common gynecologic disorder characterized by chronic pelvic pain, dysmenorrhea, and infertility. Although this condition places significant financial burden on the healthcare system and negatively affects patient's quality of life, the pathophysiology of the disease remains unclear, and noninvasive diagnostic methods are insufficient. The object of this study was to identify potential biomarkers for endometriosis from peripheral blood. We hypothesized that serum biomarkers modified in endometriosis patients would be detected by multiplex cytokine panel, and identification of a combination of these biomarkers would improve diagnostic power. A total of 141 women, aged 15-52 years with regular menstruation, participated in this study. Twenty-one serum cytokines were detected using the commercially available MILLIPLEX MAP Human Cytokine/Chemokine Kit Panel IV. Among these cytokines, breast- and kidney-expressed chemokine (BRAK)/chemokine (C-X-C motif) ligand 14 (CXCL14) was significantly decreased, and proliferation-inducing ligand (APRIL)/tumor necrosis factor ligand superfamily member 13 (TNFSF13) was significantly increased in endometriosis group. APRIL/TNFSF13 and BRAK/CXCL14 alone or in combination, however, failed to show adequate sensitivity or specificity for the diagnosis of endometriosis. Combination of APRIL/TNFSF13 and BRAK/CXCL14 with serum CA-125 levels yielded significantly higher sensitivity (71.2%) for detecting endometriosis without compromising specificity (80.8%) than CA-125 alone in a logistic regression model (P = 0.050). In conclusion, we identified a biomarker combination that detects endometriosis better than CA125 alone. Therefore, we conclude that multiplex cytokine panel is an efficient method for detecting endometriosis, and analysis of additional cytokine panels may lead to identification of a novel biomarker combination with superior diagnostic power.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s43032-019-00124-2DOI Listing

Publication Analysis

Top Keywords

endometriosis
9
serum biomarkers
8
diagnosis endometriosis
8
multiplex cytokine
8
cytokine panel
8
diagnostic power
8
april/tnfsf13 brak/cxcl14
8
detecting endometriosis
8
biomarker combination
8
combination
5

Similar Publications

Background: Endometriosis, a condition that significantly impacts the quality of life for affected women, manifests with a spectrum of symptoms ranging from mild discomfort to severe pelvic pain, dysmenorrhea, dyspareunia, and infertility. A previous single-center study suggested an elevated prevalence of endometriosis in Jordan, prompting the need for larger studies to confirm these findings.

Methods: We conducted a cross-sectional study involving a sample of 866 women who underwent various laparoscopic procedures for different indications at the Department of Obstetrics and Gynecology at Jordan University Hospital and Al-Karak Governmental Hospital, two tertiary referral hospitals in Jordan between January 2015 and March 2023.

View Article and Find Full Text PDF

NAT10 drives endometriosis progression through acetylation and stabilization of TGFB1 mRNA.

Mol Cell Endocrinol

December 2024

International Peace Maternity & Child Health Hospital, Shanghai Municipal Key Clinical Speciality, Institute of Embryo-Fetal Original Adult Disease, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China. Electronic address:

Endometriosis, a gynecological disorder marked by pelvic pain and infertility, has its pathogenesis and pathophysiology significantly influenced by epigenetics, as these factors have been well characterized. However, the role of RNA-mediated epigenetic regulation in endometriosis remains to be elucidated. In our study, we found that N4-acetylcytidine (acC) RNA modification and N-acetyltransferase 10 (NAT10) were significantly upregulated in endometrial lesions compared to eutopic endometrium.

View Article and Find Full Text PDF

Exploring the Interplay Between Catastrophizing and Endometriosis Pain Through Two-Wave and Intensive Longitudinal Data.

Pain Med

December 2024

Department of Gynecology, State University of Rio de Janeiro, Avenida Boulevard 28 de Setembro, 77, Vila Isabel, Rio de Janeiro, RJ, 20551-030, Brazil.

Background: Endometriosis, characterized by the presence of endometrial-like tissue outside the uterus, results in chronic pelvic pain. However, lesion characteristics alone cannot fully explain the complexity of endometriosis-related pain. Pain catastrophizing, a cognitive process that influences pain perception, has traditionally been studied through cross-sectional or two-wave designs, which struggle to capture its dynamic interplay with endometriosis pain.

View Article and Find Full Text PDF

Living with acuteness in chronic illness: The temporal underpinnings of endometriosis.

Med Anthropol Q

December 2024

Helsinki Collegium for Advanced Studies, University of Helsinki, Helsinki, Finland.

This article explores how acuteness is experienced by people with endometriosis in Finland. Drawing on in-depth interviews as well as anonymous written endometriosis stories, we trace instances when the sense of chronicity and cyclicality of endometriosis is disrupted by a possibility of risk to life. These instances include when endometriosis tissue grows in unanticipated and aggressive ways, when medical interventions lead to unexpected complications or medications raise concerns about a gradually developing risk, and when endometriosis diagnosis becomes a catch-all category that could mask the onset of a life-threatening condition.

View Article and Find Full Text PDF

Aim: To explore the perception of the impact of endometriosis on various aspects in affected women with endometriosis.

Method: Data was gathered through in-depth and semi-structured individual interviews using open questions to comprehend women's experiences with endometriosis and their health-promoting lifestyle. The Conventional Qualitative Content Analysis approach was utilized, and sampling continued until data saturation.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!