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Identifying potential biomarkers related to pre-term delivery by proteomic analysis of amniotic fluid
We sought to identify biomarkers in the amniotic fluid (AF) and specific signaling pathways related to spontaneous preterm delivery (SPTD, < 34 weeks) in women with preterm labor (PTL) without intra-uterine infection/inflammation (IUI). This was a retrospective cohort study of a total of 139 PTL...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7665029/ https://www.ncbi.nlm.nih.gov/pubmed/33184413 http://dx.doi.org/10.1038/s41598-020-76748-1 |
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author | Hong, Subeen Lee, Ji Eun Kim, Yu Mi Park, Yehyon Choi, Ji-Woong Park, Kyo Hoon |
author_facet | Hong, Subeen Lee, Ji Eun Kim, Yu Mi Park, Yehyon Choi, Ji-Woong Park, Kyo Hoon |
author_sort | Hong, Subeen |
collection | PubMed |
description | We sought to identify biomarkers in the amniotic fluid (AF) and specific signaling pathways related to spontaneous preterm delivery (SPTD, < 34 weeks) in women with preterm labor (PTL) without intra-uterine infection/inflammation (IUI). This was a retrospective cohort study of a total of 139 PTL women with singleton gestation (24 + 0 to 32 + 6 weeks) who underwent amniocentesis and who displayed no evidence of IUI. A nested case–control was conducted using pooled AF samples (n = 20) analyzed via label-free liquid chromatography-tandem mass spectrometry. In the total cohort, an ELISA validation study was performed for seven candidate proteins of interest. Proteomic analysis identified 77 differentially expressed proteins (DEPs, P < 0.05) in the AF from SPTD cases compared to term delivery controls. ELISA validation confirmed that women who had an SPTD before 34 weeks had significantly independently lower levels of VEGFR-1 and higher levels of lipocalin-2 and the Fc fragment of IgG binding protein in the AF. Five principle pathways associated with the 77 DEPs were identified, including glycolysis, gluconeogenesis, and iron homeostasis. The proteomic analysis data of AFs from women with PTL identified several novel biomarkers and specific protein pathways related to SPTD in the absence of IUI. |
format | Online Article Text |
id | pubmed-7665029 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-76650292020-11-16 Identifying potential biomarkers related to pre-term delivery by proteomic analysis of amniotic fluid Hong, Subeen Lee, Ji Eun Kim, Yu Mi Park, Yehyon Choi, Ji-Woong Park, Kyo Hoon Sci Rep Article We sought to identify biomarkers in the amniotic fluid (AF) and specific signaling pathways related to spontaneous preterm delivery (SPTD, < 34 weeks) in women with preterm labor (PTL) without intra-uterine infection/inflammation (IUI). This was a retrospective cohort study of a total of 139 PTL women with singleton gestation (24 + 0 to 32 + 6 weeks) who underwent amniocentesis and who displayed no evidence of IUI. A nested case–control was conducted using pooled AF samples (n = 20) analyzed via label-free liquid chromatography-tandem mass spectrometry. In the total cohort, an ELISA validation study was performed for seven candidate proteins of interest. Proteomic analysis identified 77 differentially expressed proteins (DEPs, P < 0.05) in the AF from SPTD cases compared to term delivery controls. ELISA validation confirmed that women who had an SPTD before 34 weeks had significantly independently lower levels of VEGFR-1 and higher levels of lipocalin-2 and the Fc fragment of IgG binding protein in the AF. Five principle pathways associated with the 77 DEPs were identified, including glycolysis, gluconeogenesis, and iron homeostasis. The proteomic analysis data of AFs from women with PTL identified several novel biomarkers and specific protein pathways related to SPTD in the absence of IUI. Nature Publishing Group UK 2020-11-12 /pmc/articles/PMC7665029/ /pubmed/33184413 http://dx.doi.org/10.1038/s41598-020-76748-1 Text en © The Author(s) 2020 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/. |
spellingShingle | Article Hong, Subeen Lee, Ji Eun Kim, Yu Mi Park, Yehyon Choi, Ji-Woong Park, Kyo Hoon Identifying potential biomarkers related to pre-term delivery by proteomic analysis of amniotic fluid |
title | Identifying potential biomarkers related to pre-term delivery by proteomic analysis of amniotic fluid |
title_full | Identifying potential biomarkers related to pre-term delivery by proteomic analysis of amniotic fluid |
title_fullStr | Identifying potential biomarkers related to pre-term delivery by proteomic analysis of amniotic fluid |
title_full_unstemmed | Identifying potential biomarkers related to pre-term delivery by proteomic analysis of amniotic fluid |
title_short | Identifying potential biomarkers related to pre-term delivery by proteomic analysis of amniotic fluid |
title_sort | identifying potential biomarkers related to pre-term delivery by proteomic analysis of amniotic fluid |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7665029/ https://www.ncbi.nlm.nih.gov/pubmed/33184413 http://dx.doi.org/10.1038/s41598-020-76748-1 |
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