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Investigating selected adhesion molecules as urinary biomarkers for diagnosing endometriosis.
Reprod Biomed Online. 2020 Apr; 40(4):555-558.RB

Abstract

RESEARCH QUESTION

Are selected cell adhesion molecules useful as urinary biomarkers for diagnosing endometriosis?

DESIGN

Prospective, longitudinal study (the Endometriosis Marker Austria) in patients who underwent laparoscopic surgery for benign gynaecological pathologies. A total of 149 patients not receiving hormonal treatment for at least 3 months prior to recruitment were included and preoperative urine protein levels of soluble vascular adhesion molecule-1 (sVCAM-1), soluble intracellular adhesion molecule-1 (sICAM-1), E-selectin and P-selectin were measured using a magnetic bead-based multiplex assay, normalized to creatinine levels of each sample. Levels were correlated with endometriosis status, menstrual cycle phase, body mass index, cigarette smoking and severity and entity of the lesions.

RESULTS

Urine levels of sVCAM-1, sICAM-1, E-selectin and P-selectin did not differ between women with (n = 84) and without (n = 65) endometriosis and among subgroups. Accordingly, receiver operating characteristic analysis to examine the value of using sVCAM-1, sICAM-1, E-selectin and P-selectin levels and sVCAM/sICAM ratio to diagnose endometriosis were not significant. Whether the serum sVCAM-1 levels correlated with the urine levels of the protein in the same women was also investigated, which revealed no significant correlations for sVCAM or sICAM.

CONCLUSION

Although a previous study had suggested that serum sVCAM is a promising biomarker for diagnosing endometriosis, no significant differences were found in urine levels of sVCAM-1, sICAM-1, E-selectin and P-selectin between women with and without endometriosis. Other markers should be studied in an effort to establish a truly non-invasive urinary test for diagnosing endometriosis.

Authors+Show Affiliations

Department of Gynecology and Obstetrics, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria.Department of Gynecology and Obstetrics, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria.Department of Gynecology and Obstetrics, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria.Department of Gynecology and Obstetrics, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria.Department of Gynecology and Obstetrics, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria. Electronic address: heinrich.husslein@meduniwien.ac.at.Department of Gynecology and Obstetrics, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

32220518

Citation

Proestling, Katharina, et al. "Investigating Selected Adhesion Molecules as Urinary Biomarkers for Diagnosing Endometriosis." Reproductive Biomedicine Online, vol. 40, no. 4, 2020, pp. 555-558.
Proestling K, Wenzl R, Yotova I, et al. Investigating selected adhesion molecules as urinary biomarkers for diagnosing endometriosis. Reprod Biomed Online. 2020;40(4):555-558.
Proestling, K., Wenzl, R., Yotova, I., Hauser, C., Husslein, H., & Kuessel, L. (2020). Investigating selected adhesion molecules as urinary biomarkers for diagnosing endometriosis. Reproductive Biomedicine Online, 40(4), 555-558. https://doi.org/10.1016/j.rbmo.2020.01.014
Proestling K, et al. Investigating Selected Adhesion Molecules as Urinary Biomarkers for Diagnosing Endometriosis. Reprod Biomed Online. 2020;40(4):555-558. PubMed PMID: 32220518.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Investigating selected adhesion molecules as urinary biomarkers for diagnosing endometriosis. AU - Proestling,Katharina, AU - Wenzl,René, AU - Yotova,Iveta, AU - Hauser,Christoph, AU - Husslein,Heinrich, AU - Kuessel,Lorenz, Y1 - 2020/01/25/ PY - 2019/12/21/received PY - 2020/01/21/accepted PY - 2020/3/30/pubmed PY - 2020/3/30/medline PY - 2020/3/30/entrez KW - Biomarker KW - Cell adhesion molecules KW - Endometriosis KW - ICAM-1 KW - VCAM-1 SP - 555 EP - 558 JF - Reproductive biomedicine online JO - Reprod. Biomed. Online VL - 40 IS - 4 N2 - RESEARCH QUESTION: Are selected cell adhesion molecules useful as urinary biomarkers for diagnosing endometriosis? DESIGN: Prospective, longitudinal study (the Endometriosis Marker Austria) in patients who underwent laparoscopic surgery for benign gynaecological pathologies. A total of 149 patients not receiving hormonal treatment for at least 3 months prior to recruitment were included and preoperative urine protein levels of soluble vascular adhesion molecule-1 (sVCAM-1), soluble intracellular adhesion molecule-1 (sICAM-1), E-selectin and P-selectin were measured using a magnetic bead-based multiplex assay, normalized to creatinine levels of each sample. Levels were correlated with endometriosis status, menstrual cycle phase, body mass index, cigarette smoking and severity and entity of the lesions. RESULTS: Urine levels of sVCAM-1, sICAM-1, E-selectin and P-selectin did not differ between women with (n = 84) and without (n = 65) endometriosis and among subgroups. Accordingly, receiver operating characteristic analysis to examine the value of using sVCAM-1, sICAM-1, E-selectin and P-selectin levels and sVCAM/sICAM ratio to diagnose endometriosis were not significant. Whether the serum sVCAM-1 levels correlated with the urine levels of the protein in the same women was also investigated, which revealed no significant correlations for sVCAM or sICAM. CONCLUSION: Although a previous study had suggested that serum sVCAM is a promising biomarker for diagnosing endometriosis, no significant differences were found in urine levels of sVCAM-1, sICAM-1, E-selectin and P-selectin between women with and without endometriosis. Other markers should be studied in an effort to establish a truly non-invasive urinary test for diagnosing endometriosis. SN - 1472-6491 UR - https://www.unboundmedicine.com/medline/citation/32220518/Investigating_selected_adhesion_molecules_as_urinary_biomarkers_for_diagnosing_endometriosis_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S1472-6483(20)30067-5 DB - PRIME DP - Unbound Medicine ER -
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