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Identification of Serum Biomarkers for Diagnosis of Endometriosis Using Multiplex Immunoassays.
Reprod Sci. 2020 05; 27(5):1139-1147.RS

Abstract

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.

Authors+Show Affiliations

Department of Obstetrics and Gynecology, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, 06273, South Korea. Institute of Women's Life Medical Science, Yonsei University College of Medicine, Seoul, South Korea.Institute of Women's Life Medical Science, Yonsei University College of Medicine, Seoul, South Korea. Department of Obstetrics and Gynecology, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.Department of Obstetrics and Gynecology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, South Korea.Biostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, South Korea.Department of Obstetrics and Gynecology, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, 06273, South Korea.Institute of Women's Life Medical Science, Yonsei University College of Medicine, Seoul, South Korea. Department of Obstetrics and Gynecology, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.Institute of Women's Life Medical Science, Yonsei University College of Medicine, Seoul, South Korea. Department of Obstetrics and Gynecology, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.Institute of Women's Life Medical Science, Yonsei University College of Medicine, Seoul, South Korea. Department of Obstetrics and Gynecology, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.Institute of Women's Life Medical Science, Yonsei University College of Medicine, Seoul, South Korea. Department of Obstetrics and Gynecology, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.Institute of Women's Life Medical Science, Yonsei University College of Medicine, Seoul, South Korea. Department of Obstetrics and Gynecology, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.Department of Obstetrics and Gynecology, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, 06273, South Korea. Institute of Women's Life Medical Science, Yonsei University College of Medicine, Seoul, South Korea.Department of Obstetrics and Gynecology, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, 06273, South Korea. sihyuncho@yuhs.ac. Institute of Women's Life Medical Science, Yonsei University College of Medicine, Seoul, South Korea. sihyuncho@yuhs.ac.Department of Obstetrics and Gynecology, Korea University College of Medicine, Seongbuk-gu, Seoul, South Korea.Department of Laboratory Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, 06273, South Korea. jlim@yuhs.ac.Institute of Women's Life Medical Science, Yonsei University College of Medicine, Seoul, South Korea. Department of Obstetrics and Gynecology, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

32046464

Citation

Kim, Heeyon, et al. "Identification of Serum Biomarkers for Diagnosis of Endometriosis Using Multiplex Immunoassays." Reproductive Sciences (Thousand Oaks, Calif.), vol. 27, no. 5, 2020, pp. 1139-1147.
Kim H, Choi YS, Kim JS, et al. Identification of Serum Biomarkers for Diagnosis of Endometriosis Using Multiplex Immunoassays. Reprod Sci. 2020;27(5):1139-1147.
Kim, H., Choi, Y. S., Kim, J. S., Kim, S., Won, B. H., Won, Y. B., Lee, I., Lee, J. H., Yun, B. H., Seo, S. K., Park, J. H., Cho, S., Shin, J. H., Lim, J. B., & Lee, B. S. (2020). Identification of Serum Biomarkers for Diagnosis of Endometriosis Using Multiplex Immunoassays. Reproductive Sciences (Thousand Oaks, Calif.), 27(5), 1139-1147. https://doi.org/10.1007/s43032-019-00124-2
Kim H, et al. Identification of Serum Biomarkers for Diagnosis of Endometriosis Using Multiplex Immunoassays. Reprod Sci. 2020;27(5):1139-1147. PubMed PMID: 32046464.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Identification of Serum Biomarkers for Diagnosis of Endometriosis Using Multiplex Immunoassays. AU - Kim,Heeyon, AU - Choi,Young Sik, AU - Kim,Jeong Sook, AU - Kim,Sinae, AU - Won,Bo Hee, AU - Won,Young Bin, AU - Lee,Inha, AU - Lee,Jae Hoon, AU - Yun,Bo Hyon, AU - Seo,Seok Kyo, AU - Park,Joo Hyun, AU - Cho,SiHyun, AU - Shin,Jung-Ho, AU - Lim,Jong-Baeck, AU - Lee,Byung Seok, Y1 - 2020/01/06/ PY - 2019/08/01/received PY - 2019/09/23/accepted PY - 2020/2/13/pubmed PY - 2020/2/13/medline PY - 2020/2/13/entrez KW - APRIL/TNFSF13 KW - BRAK/CXCL14 KW - Biomarker KW - CA-125 KW - Endometriosis KW - Multiplex cytokine SP - 1139 EP - 1147 JF - Reproductive sciences (Thousand Oaks, Calif.) JO - Reprod Sci VL - 27 IS - 5 N2 - 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. SN - 1933-7205 UR - https://www.unboundmedicine.com/medline/citation/32046464/Identification_of_Serum_Biomarkers_for_Diagnosis_of_Endometriosis_Using_Multiplex_Immunoassays_ L2 - https://journals.sagepub.com/doi/10.1007/s43032-019-00124-2?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub=pubmed DB - PRIME DP - Unbound Medicine ER -
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