Cargando…
Identification of novel first-trimester serum biomarkers for early prediction of preeclampsia
BACKGROUND: Preeclampsia (PE) is a leading cause of maternal and perinatal mortality and morbidity worldwide, but effective early prediction remains a challenge due to the lack of reliable biomarkers. METHODS: Based on the extensive human biobank of our large-scale assisted reproductive cohort platf...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10506221/ https://www.ncbi.nlm.nih.gov/pubmed/37718445 http://dx.doi.org/10.1186/s12967-023-04472-1 |
_version_ | 1785107075265724416 |
---|---|
author | Liu, Mingxi Niu, Yue Ma, Kongyang Leung, Peter C. K. Chen, Zi-Jiang Wei, Daimin Li, Yan |
author_facet | Liu, Mingxi Niu, Yue Ma, Kongyang Leung, Peter C. K. Chen, Zi-Jiang Wei, Daimin Li, Yan |
author_sort | Liu, Mingxi |
collection | PubMed |
description | BACKGROUND: Preeclampsia (PE) is a leading cause of maternal and perinatal mortality and morbidity worldwide, but effective early prediction remains a challenge due to the lack of reliable biomarkers. METHODS: Based on the extensive human biobank of our large-scale assisted reproductive cohort platform, the first-trimester serum levels of 48 cytokines, total immunoglobulins (Igs), anti-phosphatidylserine (aPS) antibodies, and several previously reported PE biomarkers [including placental growth factor (PlGF), soluble fms-like tyrosine kinase-1 (sFlt-1), and activin A] were measured in 34 women diagnosed with PE and 34 matched normotensive controls. RESULTS: The PE group has significantly higher first-trimester serum levels of interleukin (IL)-2Rα, IL-9, tumor necrosis factor-β (TNF-β), RANTES, hepatocyte growth factor (HGF), total IgM, and total IgG, and aPS IgG optical density (OD) value, as well as lower first-trimester serum levels of PlGF and total IgA and aPS-IgG immune complexes (IC) OD value than the control group. Combining top five first-trimester serum biomarkers (total IgM, total IgG, PlGF, aPS IgG, and total IgA) achieved superior predictive value [area under the curve (AUC) and 95% confidence interval (CI) 0.983 (0.952–1.000), with a sensitivity of 100% and a specificity of 94.1%] for PE development compared to PlGF and PlGF/sFlt-1 independently [AUC and 95% CI 0.825 (0.726–0.924) and 0.670 (0.539–0.800), respectively]. CONCLUSION: We identified novel first-trimester serum biomarkers and developed an effective first-trimester prediction model using immune-related factors and PlGF for PE, which could facilitate the development of early diagnostic strategies and provide immunological insight into the further mechanistic exploration of PE. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-04472-1. |
format | Online Article Text |
id | pubmed-10506221 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105062212023-09-19 Identification of novel first-trimester serum biomarkers for early prediction of preeclampsia Liu, Mingxi Niu, Yue Ma, Kongyang Leung, Peter C. K. Chen, Zi-Jiang Wei, Daimin Li, Yan J Transl Med Research BACKGROUND: Preeclampsia (PE) is a leading cause of maternal and perinatal mortality and morbidity worldwide, but effective early prediction remains a challenge due to the lack of reliable biomarkers. METHODS: Based on the extensive human biobank of our large-scale assisted reproductive cohort platform, the first-trimester serum levels of 48 cytokines, total immunoglobulins (Igs), anti-phosphatidylserine (aPS) antibodies, and several previously reported PE biomarkers [including placental growth factor (PlGF), soluble fms-like tyrosine kinase-1 (sFlt-1), and activin A] were measured in 34 women diagnosed with PE and 34 matched normotensive controls. RESULTS: The PE group has significantly higher first-trimester serum levels of interleukin (IL)-2Rα, IL-9, tumor necrosis factor-β (TNF-β), RANTES, hepatocyte growth factor (HGF), total IgM, and total IgG, and aPS IgG optical density (OD) value, as well as lower first-trimester serum levels of PlGF and total IgA and aPS-IgG immune complexes (IC) OD value than the control group. Combining top five first-trimester serum biomarkers (total IgM, total IgG, PlGF, aPS IgG, and total IgA) achieved superior predictive value [area under the curve (AUC) and 95% confidence interval (CI) 0.983 (0.952–1.000), with a sensitivity of 100% and a specificity of 94.1%] for PE development compared to PlGF and PlGF/sFlt-1 independently [AUC and 95% CI 0.825 (0.726–0.924) and 0.670 (0.539–0.800), respectively]. CONCLUSION: We identified novel first-trimester serum biomarkers and developed an effective first-trimester prediction model using immune-related factors and PlGF for PE, which could facilitate the development of early diagnostic strategies and provide immunological insight into the further mechanistic exploration of PE. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-04472-1. BioMed Central 2023-09-18 /pmc/articles/PMC10506221/ /pubmed/37718445 http://dx.doi.org/10.1186/s12967-023-04472-1 Text en © The Author(s) 2023 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Liu, Mingxi Niu, Yue Ma, Kongyang Leung, Peter C. K. Chen, Zi-Jiang Wei, Daimin Li, Yan Identification of novel first-trimester serum biomarkers for early prediction of preeclampsia |
title | Identification of novel first-trimester serum biomarkers for early prediction of preeclampsia |
title_full | Identification of novel first-trimester serum biomarkers for early prediction of preeclampsia |
title_fullStr | Identification of novel first-trimester serum biomarkers for early prediction of preeclampsia |
title_full_unstemmed | Identification of novel first-trimester serum biomarkers for early prediction of preeclampsia |
title_short | Identification of novel first-trimester serum biomarkers for early prediction of preeclampsia |
title_sort | identification of novel first-trimester serum biomarkers for early prediction of preeclampsia |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10506221/ https://www.ncbi.nlm.nih.gov/pubmed/37718445 http://dx.doi.org/10.1186/s12967-023-04472-1 |
work_keys_str_mv | AT liumingxi identificationofnovelfirsttrimesterserumbiomarkersforearlypredictionofpreeclampsia AT niuyue identificationofnovelfirsttrimesterserumbiomarkersforearlypredictionofpreeclampsia AT makongyang identificationofnovelfirsttrimesterserumbiomarkersforearlypredictionofpreeclampsia AT leungpeterck identificationofnovelfirsttrimesterserumbiomarkersforearlypredictionofpreeclampsia AT chenzijiang identificationofnovelfirsttrimesterserumbiomarkersforearlypredictionofpreeclampsia AT weidaimin identificationofnovelfirsttrimesterserumbiomarkersforearlypredictionofpreeclampsia AT liyan identificationofnovelfirsttrimesterserumbiomarkersforearlypredictionofpreeclampsia |