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Identification of noninvasive diagnostic biomarkers for ectopic pregnancy using data-independent acquisition (DIA)proteomics: a pilot study
At present, the diagnosis of ectopic pregnancy mainly depends on transvaginal ultrasound and β-hCG. However, these methods may delay diagnosis and treatment time. Therefore, we aimed to screen for serological molecular markers for the early diagnosis of ectopic pregnancy (EP).Using data-independent...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9678856/ https://www.ncbi.nlm.nih.gov/pubmed/36411308 http://dx.doi.org/10.1038/s41598-022-23374-8 |
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author | Ma, Dan Yang, Ruiqing Chen, Yunlong Huang, Zhengyi Shen, Yuxin He, Chengqi Zhao, Lixing |
author_facet | Ma, Dan Yang, Ruiqing Chen, Yunlong Huang, Zhengyi Shen, Yuxin He, Chengqi Zhao, Lixing |
author_sort | Ma, Dan |
collection | PubMed |
description | At present, the diagnosis of ectopic pregnancy mainly depends on transvaginal ultrasound and β-hCG. However, these methods may delay diagnosis and treatment time. Therefore, we aimed to screen for serological molecular markers for the early diagnosis of ectopic pregnancy (EP).Using data-independent acquisition (DIA)proteomics, the differential proteins in serum were selected between the intrauterine pregnancy (IP) and EP groups. Then, the expression levels of these differential proteins were measured by enzyme-linked immunosorbent assay. The diagnostic value of the serum biomarkers was evaluated by receiver operating characteristic curve analysis.GSTO1, ECM-1 and β-hCG showed significant differences between the EP and IP groups (P < 0.05). The combination of GSTO1/ECM-1/β-hCG had an area under the curve of 0.93 (95% CI 0.88–0.99), a sensitivity of 88.89% (95% CI 73.94–96.89) and a specificity of 86.11% (95% CI 70.50–95.33) with a likelihood ratio of 6.40.The combination of GSTO1/ECM-1/β-hCG may be developed into a possible approach for the early diagnosis of EP. |
format | Online Article Text |
id | pubmed-9678856 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-96788562022-11-23 Identification of noninvasive diagnostic biomarkers for ectopic pregnancy using data-independent acquisition (DIA)proteomics: a pilot study Ma, Dan Yang, Ruiqing Chen, Yunlong Huang, Zhengyi Shen, Yuxin He, Chengqi Zhao, Lixing Sci Rep Article At present, the diagnosis of ectopic pregnancy mainly depends on transvaginal ultrasound and β-hCG. However, these methods may delay diagnosis and treatment time. Therefore, we aimed to screen for serological molecular markers for the early diagnosis of ectopic pregnancy (EP).Using data-independent acquisition (DIA)proteomics, the differential proteins in serum were selected between the intrauterine pregnancy (IP) and EP groups. Then, the expression levels of these differential proteins were measured by enzyme-linked immunosorbent assay. The diagnostic value of the serum biomarkers was evaluated by receiver operating characteristic curve analysis.GSTO1, ECM-1 and β-hCG showed significant differences between the EP and IP groups (P < 0.05). The combination of GSTO1/ECM-1/β-hCG had an area under the curve of 0.93 (95% CI 0.88–0.99), a sensitivity of 88.89% (95% CI 73.94–96.89) and a specificity of 86.11% (95% CI 70.50–95.33) with a likelihood ratio of 6.40.The combination of GSTO1/ECM-1/β-hCG may be developed into a possible approach for the early diagnosis of EP. Nature Publishing Group UK 2022-11-21 /pmc/articles/PMC9678856/ /pubmed/36411308 http://dx.doi.org/10.1038/s41598-022-23374-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Ma, Dan Yang, Ruiqing Chen, Yunlong Huang, Zhengyi Shen, Yuxin He, Chengqi Zhao, Lixing Identification of noninvasive diagnostic biomarkers for ectopic pregnancy using data-independent acquisition (DIA)proteomics: a pilot study |
title | Identification of noninvasive diagnostic biomarkers for ectopic pregnancy using data-independent acquisition (DIA)proteomics: a pilot study |
title_full | Identification of noninvasive diagnostic biomarkers for ectopic pregnancy using data-independent acquisition (DIA)proteomics: a pilot study |
title_fullStr | Identification of noninvasive diagnostic biomarkers for ectopic pregnancy using data-independent acquisition (DIA)proteomics: a pilot study |
title_full_unstemmed | Identification of noninvasive diagnostic biomarkers for ectopic pregnancy using data-independent acquisition (DIA)proteomics: a pilot study |
title_short | Identification of noninvasive diagnostic biomarkers for ectopic pregnancy using data-independent acquisition (DIA)proteomics: a pilot study |
title_sort | identification of noninvasive diagnostic biomarkers for ectopic pregnancy using data-independent acquisition (dia)proteomics: a pilot study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9678856/ https://www.ncbi.nlm.nih.gov/pubmed/36411308 http://dx.doi.org/10.1038/s41598-022-23374-8 |
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